id	sid	tid	token	lemma	pos
brj-23067	1	1	peer	peer	NOUN
brj-23067	1	2	-	-	PUNCT
brj-23067	1	3	review	review	NOUN
brj-23067	1	4	article	article	NOUN
brj-23067	1	5	peer	peer	NOUN
brj-23067	1	6	-	-	PUNCT
brj-23067	1	7	reviewed	review	VERB
brj-23067	1	8	article	article	NOUN
brj-23067	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	1	10	karlström	karlström	PROPN
brj-23067	1	11	et	et	PROPN
brj-23067	1	12	al	al	PROPN
brj-23067	1	13	.	.	PROPN
brj-23067	2	1	(	(	PUNCT
brj-23067	2	2	2024	2024	NUM
brj-23067	2	3	)	)	PUNCT
brj-23067	2	4	.	.	PUNCT
brj-23067	3	1	“	"	PUNCT
brj-23067	3	2	soft	soft	ADJ
brj-23067	3	3	sensors	sensor	NOUN
brj-23067	3	4	in	in	ADP
brj-23067	3	5	refining	refining	NOUN
brj-23067	3	6	,	,	PUNCT
brj-23067	3	7	”	"	PUNCT
brj-23067	3	8	bioresources	bioresource	NOUN
brj-23067	3	9	19(1	19(1	NUM
brj-23067	3	10	)	)	PUNCT
brj-23067	3	11	,	,	PUNCT
brj-23067	3	12	1030	1030	NUM
brj-23067	3	13	-	-	SYM
brj-23067	3	14	1057	1057	NUM
brj-23067	3	15	.	.	PUNCT
brj-23067	4	1	1030	1030	NUM
brj-23067	4	2	data	data	NOUN
brj-23067	4	3	-	-	PUNCT
brj-23067	4	4	driven	drive	VERB
brj-23067	4	5	soft	soft	ADJ
brj-23067	4	6	sensors	sensor	NOUN
brj-23067	4	7	in	in	ADP
brj-23067	4	8	pulp	pulp	NOUN
brj-23067	4	9	refining	refining	NOUN
brj-23067	4	10	processes	process	NOUN
brj-23067	4	11	using	use	VERB
brj-23067	4	12	artificial	artificial	ADJ
brj-23067	4	13	neural	neural	ADJ
brj-23067	4	14	networks	network	NOUN
brj-23067	4	15	anders	anders	PROPN
brj-23067	4	16	karlström	karlström	PROPN
brj-23067	4	17	,	,	PUNCT
brj-23067	4	18	a	a	DET
brj-23067	4	19	jan	jan	PROPN
brj-23067	4	20	hill	hill	PROPN
brj-23067	4	21	,	,	PUNCT
brj-23067	4	22	b	b	PROPN
brj-23067	4	23	and	and	CCONJ
brj-23067	4	24	lars	lars	PROPN
brj-23067	4	25	johansson	johansson	PROPN
brj-23067	4	26	c	c	PROPN
brj-23067	4	27	pulp	pulp	NOUN
brj-23067	4	28	refining	refining	NOUN
brj-23067	4	29	processes	process	NOUN
brj-23067	4	30	are	be	AUX
brj-23067	4	31	most	most	ADV
brj-23067	4	32	often	often	ADV
brj-23067	4	33	complicated	complicated	ADJ
brj-23067	4	34	to	to	PART
brj-23067	4	35	describe	describe	VERB
brj-23067	4	36	using	use	VERB
brj-23067	4	37	linear	linear	ADJ
brj-23067	4	38	methodologies	methodology	NOUN
brj-23067	4	39	,	,	PUNCT
brj-23067	4	40	and	and	CCONJ
brj-23067	4	41	sometimes	sometimes	ADV
brj-23067	4	42	an	an	DET
brj-23067	4	43	artificial	artificial	ADJ
brj-23067	4	44	neural	neural	ADJ
brj-23067	4	45	network	network	NOUN
brj-23067	4	46	(	(	PUNCT
brj-23067	4	47	ann	ann	PROPN
brj-23067	4	48	)	)	PUNCT
brj-23067	4	49	is	be	AUX
brj-23067	4	50	a	a	DET
brj-23067	4	51	preferable	preferable	ADJ
brj-23067	4	52	alternative	alternative	NOUN
brj-23067	4	53	when	when	SCONJ
brj-23067	4	54	assimilating	assimilate	VERB
brj-23067	4	55	non	non	ADJ
brj-23067	4	56	-	-	ADJ
brj-23067	4	57	linear	linear	ADJ
brj-23067	4	58	operating	operating	NOUN
brj-23067	4	59	data	datum	NOUN
brj-23067	4	60	.	.	PUNCT
brj-23067	5	1	in	in	ADP
brj-23067	5	2	this	this	DET
brj-23067	5	3	study	study	NOUN
brj-23067	5	4	,	,	PUNCT
brj-23067	5	5	an	an	DET
brj-23067	5	6	ann	ann	PROPN
brj-23067	5	7	is	be	AUX
brj-23067	5	8	used	use	VERB
brj-23067	5	9	to	to	PART
brj-23067	5	10	predict	predict	VERB
brj-23067	5	11	pulp	pulp	NOUN
brj-23067	5	12	properties	property	NOUN
brj-23067	5	13	,	,	PUNCT
brj-23067	5	14	such	such	ADJ
brj-23067	5	15	as	as	ADP
brj-23067	5	16	shives	shive	NOUN
brj-23067	5	17	(	(	PUNCT
brj-23067	5	18	wide	wide	ADJ
brj-23067	5	19	)	)	PUNCT
brj-23067	5	20	,	,	PUNCT
brj-23067	5	21	fiber	fiber	NOUN
brj-23067	5	22	length	length	NOUN
brj-23067	5	23	,	,	PUNCT
brj-23067	5	24	and	and	CCONJ
brj-23067	5	25	freeness	freeness	PROPN
brj-23067	5	26	.	.	PUNCT
brj-23067	6	1	both	both	DET
brj-23067	6	2	traditional	traditional	ADJ
brj-23067	6	3	process	process	NOUN
brj-23067	6	4	variables	variable	NOUN
brj-23067	6	5	(	(	PUNCT
brj-23067	6	6	external	external	ADJ
brj-23067	6	7	variables	variable	NOUN
brj-23067	6	8	)	)	PUNCT
brj-23067	6	9	and	and	CCONJ
brj-23067	6	10	refining	refining	NOUN
brj-23067	6	11	zone	zone	NOUN
brj-23067	6	12	variables	variable	NOUN
brj-23067	6	13	(	(	PUNCT
brj-23067	6	14	internal	internal	ADJ
brj-23067	6	15	variables	variable	NOUN
brj-23067	6	16	)	)	PUNCT
brj-23067	6	17	are	be	AUX
brj-23067	6	18	necessary	necessary	ADJ
brj-23067	6	19	to	to	PART
brj-23067	6	20	include	include	VERB
brj-23067	6	21	as	as	ADP
brj-23067	6	22	model	model	NOUN
brj-23067	6	23	inputs	input	NOUN
brj-23067	6	24	.	.	PUNCT
brj-23067	7	1	the	the	DET
brj-23067	7	2	estimation	estimation	NOUN
brj-23067	7	3	of	of	ADP
brj-23067	7	4	shives	shive	NOUN
brj-23067	7	5	(	(	PUNCT
brj-23067	7	6	wide	wide	ADJ
brj-23067	7	7	)	)	PUNCT
brj-23067	7	8	results	result	NOUN
brj-23067	7	9	achieved	achieve	VERB
brj-23067	7	10	an	an	DET
brj-23067	7	11	r2	r2	NOUN
brj-23067	7	12	(	(	PUNCT
brj-23067	7	13	coefficient	coefficient	NOUN
brj-23067	7	14	of	of	ADP
brj-23067	7	15	determination	determination	NOUN
brj-23067	7	16	)	)	PUNCT
brj-23067	7	17	of	of	ADP
brj-23067	7	18	0.9	0.9	NUM
brj-23067	7	19	(	(	PUNCT
brj-23067	7	20	0.7	0.7	NUM
brj-23067	7	21	)	)	PUNCT
brj-23067	7	22	for	for	ADP
brj-23067	7	23	the	the	DET
brj-23067	7	24	training	training	NOUN
brj-23067	7	25	and	and	CCONJ
brj-23067	7	26	(	(	PUNCT
brj-23067	7	27	validation	validation	NOUN
brj-23067	7	28	)	)	PUNCT
brj-23067	7	29	sets	set	NOUN
brj-23067	7	30	.	.	PUNCT
brj-23067	8	1	corresponding	correspond	VERB
brj-23067	8	2	measures	measure	NOUN
brj-23067	8	3	for	for	ADP
brj-23067	8	4	fiber	fiber	NOUN
brj-23067	8	5	length	length	NOUN
brj-23067	8	6	and	and	CCONJ
brj-23067	8	7	freeness	freeness	PROPN
brj-23067	8	8	can	can	AUX
brj-23067	8	9	be	be	AUX
brj-23067	8	10	questioned	question	VERB
brj-23067	8	11	using	use	VERB
brj-23067	8	12	this	this	DET
brj-23067	8	13	methodology	methodology	NOUN
brj-23067	8	14	.	.	PUNCT
brj-23067	9	1	it	it	PRON
brj-23067	9	2	is	be	AUX
brj-23067	9	3	shown	show	VERB
brj-23067	9	4	that	that	SCONJ
brj-23067	9	5	the	the	DET
brj-23067	9	6	maximum	maximum	ADJ
brj-23067	9	7	temperature	temperature	NOUN
brj-23067	9	8	in	in	ADP
brj-23067	9	9	the	the	DET
brj-23067	9	10	flat	flat	ADJ
brj-23067	9	11	zone	zone	NOUN
brj-23067	9	12	can	can	AUX
brj-23067	9	13	be	be	AUX
brj-23067	9	14	modeled	model	VERB
brj-23067	9	15	using	use	VERB
brj-23067	9	16	the	the	DET
brj-23067	9	17	external	external	ADJ
brj-23067	9	18	variables	variable	NOUN
brj-23067	9	19	motor	motor	NOUN
brj-23067	9	20	load	load	NOUN
brj-23067	9	21	and	and	CCONJ
brj-23067	9	22	production	production	NOUN
brj-23067	9	23	instead	instead	ADV
brj-23067	9	24	of	of	ADP
brj-23067	9	25	the	the	DET
brj-23067	9	26	specific	specific	ADJ
brj-23067	9	27	energy	energy	NOUN
brj-23067	9	28	.	.	PUNCT
brj-23067	10	1	this	this	PRON
brj-23067	10	2	resulted	result	VERB
brj-23067	10	3	in	in	ADP
brj-23067	10	4	an	an	DET
brj-23067	10	5	r2	r2	NOUN
brj-23067	10	6	of	of	ADP
brj-23067	10	7	approximately	approximately	ADV
brj-23067	10	8	0.9	0.9	NUM
brj-23067	10	9	for	for	ADP
brj-23067	10	10	the	the	DET
brj-23067	10	11	training	training	NOUN
brj-23067	10	12	sets	set	NOUN
brj-23067	10	13	,	,	PUNCT
brj-23067	10	14	while	while	SCONJ
brj-23067	10	15	the	the	DET
brj-23067	10	16	r2	r2	NOUN
brj-23067	10	17	for	for	ADP
brj-23067	10	18	the	the	DET
brj-23067	10	19	validation	validation	NOUN
brj-23067	10	20	set	set	NOUN
brj-23067	10	21	did	do	AUX
brj-23067	10	22	not	not	PART
brj-23067	10	23	reach	reach	VERB
brj-23067	10	24	an	an	DET
brj-23067	10	25	acceptable	acceptable	ADJ
brj-23067	10	26	level	level	NOUN
brj-23067	10	27	–	–	PUNCT
brj-23067	10	28	most	most	ADV
brj-23067	10	29	likely	likely	ADJ
brj-23067	10	30	due	due	ADJ
brj-23067	10	31	to	to	ADP
brj-23067	10	32	inherent	inherent	ADJ
brj-23067	10	33	non	non	NOUN
brj-23067	10	34	-	-	NOUN
brj-23067	10	35	linearities	linearity	NOUN
brj-23067	10	36	in	in	ADP
brj-23067	10	37	the	the	DET
brj-23067	10	38	process	process	NOUN
brj-23067	10	39	.	.	PUNCT
brj-23067	11	1	additional	additional	ADJ
brj-23067	11	2	results	result	NOUN
brj-23067	11	3	showed	show	VERB
brj-23067	11	4	that	that	SCONJ
brj-23067	11	5	the	the	DET
brj-23067	11	6	consistency	consistency	NOUN
brj-23067	11	7	profile	profile	NOUN
brj-23067	11	8	is	be	AUX
brj-23067	11	9	difficult	difficult	ADJ
brj-23067	11	10	to	to	PART
brj-23067	11	11	estimate	estimate	VERB
brj-23067	11	12	properly	properly	ADV
brj-23067	11	13	using	use	VERB
brj-23067	11	14	an	an	DET
brj-23067	11	15	ann	ann	PROPN
brj-23067	11	16	.	.	PUNCT
brj-23067	12	1	instead	instead	ADV
brj-23067	12	2	,	,	PUNCT
brj-23067	12	3	a	a	DET
brj-23067	12	4	model	model	NOUN
brj-23067	12	5	-	-	PUNCT
brj-23067	12	6	driven	drive	VERB
brj-23067	12	7	sensor	sensor	NOUN
brj-23067	12	8	is	be	AUX
brj-23067	12	9	preferred	prefer	VERB
brj-23067	12	10	to	to	PART
brj-23067	12	11	be	be	AUX
brj-23067	12	12	used	use	VERB
brj-23067	12	13	.	.	PUNCT
brj-23067	13	1	the	the	DET
brj-23067	13	2	main	main	ADJ
brj-23067	13	3	results	result	NOUN
brj-23067	13	4	from	from	ADP
brj-23067	13	5	this	this	DET
brj-23067	13	6	study	study	NOUN
brj-23067	13	7	indicate	indicate	VERB
brj-23067	13	8	that	that	SCONJ
brj-23067	13	9	shives	shive	NOUN
brj-23067	13	10	(	(	PUNCT
brj-23067	13	11	wide	wide	ADV
brj-23067	13	12	)	)	PUNCT
brj-23067	13	13	should	should	AUX
brj-23067	13	14	be	be	AUX
brj-23067	13	15	the	the	DET
brj-23067	13	16	prime	prime	ADJ
brj-23067	13	17	candidate	candidate	NOUN
brj-23067	13	18	when	when	SCONJ
brj-23067	13	19	introducing	introduce	VERB
brj-23067	13	20	advanced	advanced	ADJ
brj-23067	13	21	pulp	pulp	NOUN
brj-23067	13	22	property	property	NOUN
brj-23067	13	23	control	control	NOUN
brj-23067	13	24	concepts	concept	NOUN
brj-23067	13	25	.	.	PUNCT
brj-23067	14	1	doi	doi	NOUN
brj-23067	14	2	:	:	PUNCT
brj-23067	14	3	10.15376	10.15376	NUM
brj-23067	14	4	/	/	SYM
brj-23067	14	5	biores.19.1.1030	biores.19.1.1030	NOUN
brj-23067	14	6	-	-	PUNCT
brj-23067	14	7	1057	1057	NUM
brj-23067	14	8	keywords	keyword	NOUN
brj-23067	14	9	:	:	PUNCT
brj-23067	14	10	ann	ann	PROPN
brj-23067	14	11	models	model	NOUN
brj-23067	14	12	;	;	PUNCT
brj-23067	14	13	soft	soft	ADJ
brj-23067	14	14	sensors	sensor	NOUN
brj-23067	14	15	;	;	PUNCT
brj-23067	14	16	consistency	consistency	NOUN
brj-23067	14	17	;	;	PUNCT
brj-23067	14	18	temperature	temperature	NOUN
brj-23067	14	19	;	;	PUNCT
brj-23067	14	20	pulp	pulp	NOUN
brj-23067	14	21	property	property	NOUN
brj-23067	14	22	estimation	estimation	NOUN
brj-23067	14	23	contact	contact	NOUN
brj-23067	14	24	information	information	NOUN
brj-23067	14	25	:	:	PUNCT
brj-23067	14	26	a	a	DET
brj-23067	14	27	:	:	PUNCT
brj-23067	14	28	chalmers	chalmers	PROPN
brj-23067	14	29	university	university	NOUN
brj-23067	14	30	of	of	ADP
brj-23067	14	31	technology	technology	NOUN
brj-23067	14	32	,	,	PUNCT
brj-23067	14	33	department	department	NOUN
brj-23067	14	34	of	of	ADP
brj-23067	14	35	electrical	electrical	ADJ
brj-23067	14	36	engineering	engineering	NOUN
brj-23067	14	37	,	,	PUNCT
brj-23067	14	38	se-412	se-412	PROPN
brj-23067	14	39	96	96	NUM
brj-23067	14	40	gothenburg	gothenburg	PROPN
brj-23067	14	41	,	,	PUNCT
brj-23067	14	42	sweden	sweden	PROPN
brj-23067	14	43	;	;	PUNCT
brj-23067	14	44	b	b	X
brj-23067	14	45	:	:	PUNCT
brj-23067	14	46	qualtech	qualtech	PROPN
brj-23067	14	47	jan	jan	PROPN
brj-23067	14	48	hill	hill	PROPN
brj-23067	14	49	ab	ab	PROPN
brj-23067	14	50	,	,	PUNCT
brj-23067	14	51	se-282	se-282	PROPN
brj-23067	14	52	21	21	NUM
brj-23067	14	53	tyringe	tyringe	NOUN
brj-23067	14	54	,	,	PUNCT
brj-23067	14	55	sweden	sweden	PROPN
brj-23067	14	56	;	;	PUNCT
brj-23067	14	57	c	c	X
brj-23067	14	58	:	:	PUNCT
brj-23067	14	59	woodworks	woodworks	PROPN
brj-23067	14	60	cluster	cluster	NOUN
brj-23067	14	61	,	,	PUNCT
brj-23067	14	62	skognæringa	skognæringa	NOUN
brj-23067	14	63	kyst	kyst	NOUN
brj-23067	14	64	,	,	PUNCT
brj-23067	14	65	skolegata	skolegata	NOUN
brj-23067	14	66	22	22	NUM
brj-23067	14	67	,	,	PUNCT
brj-23067	14	68	landbruksklyngen	landbruksklyngen	NOUN
brj-23067	14	69	bygg	bygg	NOUN
brj-23067	14	70	p2	p2	PROPN
brj-23067	14	71	,	,	PUNCT
brj-23067	14	72	no-7713	no-7713	PROPN
brj-23067	14	73	steinkjer	steinkjer	PROPN
brj-23067	14	74	,	,	PUNCT
brj-23067	14	75	norway	norway	PROPN
brj-23067	14	76	;	;	PUNCT
brj-23067	14	77	*	*	PUNCT
brj-23067	14	78	corresponding	correspond	VERB
brj-23067	14	79	author	author	NOUN
brj-23067	14	80	:	:	PUNCT
brj-23067	14	81	lars@woodworkscluster.no	lars@woodworkscluster.no	ADJ
brj-23067	14	82	introduction	introduction	NOUN
brj-23067	14	83	many	many	ADJ
brj-23067	14	84	systems	system	NOUN
brj-23067	14	85	in	in	ADP
brj-23067	14	86	the	the	DET
brj-23067	14	87	pulp	pulp	NOUN
brj-23067	14	88	and	and	CCONJ
brj-23067	14	89	paper	paper	NOUN
brj-23067	14	90	industry	industry	NOUN
brj-23067	14	91	can	can	AUX
brj-23067	14	92	be	be	AUX
brj-23067	14	93	classified	classify	VERB
brj-23067	14	94	as	as	ADP
brj-23067	14	95	nonlinear	nonlinear	ADJ
brj-23067	14	96	.	.	PUNCT
brj-23067	15	1	some	some	PRON
brj-23067	15	2	of	of	ADP
brj-23067	15	3	them	they	PRON
brj-23067	15	4	are	be	AUX
brj-23067	15	5	possible	possible	ADJ
brj-23067	15	6	to	to	PART
brj-23067	15	7	describe	describe	VERB
brj-23067	15	8	using	use	VERB
brj-23067	15	9	first	first	ADJ
brj-23067	15	10	principle	principle	ADJ
brj-23067	15	11	models	model	NOUN
brj-23067	15	12	(	(	PUNCT
brj-23067	15	13	fpm	fpm	ADJ
brj-23067	15	14	)	)	PUNCT
brj-23067	15	15	.	.	PUNCT
brj-23067	16	1	if	if	SCONJ
brj-23067	16	2	the	the	DET
brj-23067	16	3	nonlinearities	nonlinearitie	NOUN
brj-23067	16	4	are	be	AUX
brj-23067	16	5	weak	weak	ADJ
brj-23067	16	6	,	,	PUNCT
brj-23067	16	7	linear	linear	ADJ
brj-23067	16	8	models	model	NOUN
brj-23067	16	9	based	base	VERB
brj-23067	16	10	on	on	ADP
brj-23067	16	11	gain	gain	NOUN
brj-23067	16	12	scheduling	scheduling	NOUN
brj-23067	16	13	can	can	AUX
brj-23067	16	14	be	be	AUX
brj-23067	16	15	derived	derive	VERB
brj-23067	16	16	as	as	ADP
brj-23067	16	17	an	an	DET
brj-23067	16	18	alternative	alternative	NOUN
brj-23067	16	19	.	.	PUNCT
brj-23067	17	1	in	in	ADP
brj-23067	17	2	other	other	ADJ
brj-23067	17	3	situations	situation	NOUN
brj-23067	17	4	,	,	PUNCT
brj-23067	17	5	the	the	DET
brj-23067	17	6	complexity	complexity	NOUN
brj-23067	17	7	can	can	AUX
brj-23067	17	8	be	be	AUX
brj-23067	17	9	almost	almost	ADV
brj-23067	17	10	impossible	impossible	ADJ
brj-23067	17	11	to	to	PART
brj-23067	17	12	describe	describe	VERB
brj-23067	17	13	,	,	PUNCT
brj-23067	17	14	which	which	PRON
brj-23067	17	15	calls	call	VERB
brj-23067	17	16	for	for	ADP
brj-23067	17	17	the	the	DET
brj-23067	17	18	implementation	implementation	NOUN
brj-23067	17	19	of	of	ADP
brj-23067	17	20	complementary	complementary	ADJ
brj-23067	17	21	modeling	modeling	NOUN
brj-23067	17	22	techniques	technique	NOUN
brj-23067	17	23	.	.	PUNCT
brj-23067	18	1	when	when	SCONJ
brj-23067	18	2	producing	produce	VERB
brj-23067	18	3	chemi	chemi	NOUN
brj-23067	18	4	-	-	PUNCT
brj-23067	18	5	thermomechanical	thermomechanical	ADJ
brj-23067	18	6	pulp	pulp	NOUN
brj-23067	18	7	(	(	PUNCT
brj-23067	18	8	ctmp	ctmp	NOUN
brj-23067	18	9	)	)	PUNCT
brj-23067	18	10	,	,	PUNCT
brj-23067	18	11	this	this	PRON
brj-23067	18	12	is	be	AUX
brj-23067	18	13	certainly	certainly	ADV
brj-23067	18	14	true	true	ADJ
brj-23067	18	15	,	,	PUNCT
brj-23067	18	16	as	as	SCONJ
brj-23067	18	17	the	the	DET
brj-23067	18	18	needed	need	VERB
brj-23067	18	19	input	input	NOUN
brj-23067	18	20	-	-	PUNCT
brj-23067	18	21	output	output	NOUN
brj-23067	18	22	variables	variable	NOUN
brj-23067	18	23	can	can	AUX
brj-23067	18	24	be	be	AUX
brj-23067	18	25	unknown	unknown	ADJ
brj-23067	18	26	as	as	ADV
brj-23067	18	27	well	well	ADV
brj-23067	18	28	as	as	ADP
brj-23067	18	29	non	non	ADJ
brj-23067	18	30	-	-	ADJ
brj-23067	18	31	linear	linear	ADJ
brj-23067	18	32	,	,	PUNCT
brj-23067	18	33	noisy	noisy	ADJ
brj-23067	18	34	,	,	PUNCT
brj-23067	18	35	and	and	CCONJ
brj-23067	18	36	imprecise	imprecise	ADV
brj-23067	18	37	(	(	PUNCT
brj-23067	18	38	karlström	karlström	NOUN
brj-23067	18	39	and	and	CCONJ
brj-23067	18	40	hill	hill	PROPN
brj-23067	18	41	2017a	2017a	NUM
brj-23067	18	42	,	,	PUNCT
brj-23067	18	43	b	b	X
brj-23067	18	44	,	,	PUNCT
brj-23067	18	45	c	c	NOUN
brj-23067	18	46	;	;	PUNCT
brj-23067	18	47	karlström	karlström	NOUN
brj-23067	18	48	et	et	PROPN
brj-23067	18	49	al	al	PROPN
brj-23067	18	50	.	.	PROPN
brj-23067	18	51	2018a	2018a	NUM
brj-23067	18	52	;	;	PUNCT
brj-23067	18	53	karlström	karlström	NOUN
brj-23067	18	54	and	and	CCONJ
brj-23067	18	55	hill	hill	PROPN
brj-23067	18	56	2018b	2018b	NUM
brj-23067	18	57	;	;	PUNCT
brj-23067	18	58	sund	sund	PROPN
brj-23067	18	59	et	et	PROPN
brj-23067	18	60	al	al	PROPN
brj-23067	18	61	.	.	PROPN
brj-23067	18	62	2021	2021	NUM
brj-23067	18	63	)	)	PUNCT
brj-23067	18	64	.	.	PUNCT
brj-23067	19	1	to	to	PART
brj-23067	19	2	approach	approach	VERB
brj-23067	19	3	the	the	DET
brj-23067	19	4	challenge	challenge	NOUN
brj-23067	19	5	,	,	PUNCT
brj-23067	19	6	a	a	DET
brj-23067	19	7	hybrid	hybrid	ADJ
brj-23067	19	8	concept	concept	NOUN
brj-23067	19	9	of	of	ADP
brj-23067	19	10	both	both	DET
brj-23067	19	11	model	model	NOUN
brj-23067	19	12	-	-	PUNCT
brj-23067	19	13	driven	drive	VERB
brj-23067	19	14	and	and	CCONJ
brj-23067	19	15	data	data	NOUN
brj-23067	19	16	-	-	PUNCT
brj-23067	19	17	driven	drive	VERB
brj-23067	19	18	soft	soft	ADJ
brj-23067	19	19	sensors	sensor	NOUN
brj-23067	19	20	is	be	AUX
brj-23067	19	21	used	use	VERB
brj-23067	19	22	in	in	ADP
brj-23067	19	23	this	this	DET
brj-23067	19	24	paper	paper	NOUN
brj-23067	19	25	.	.	PUNCT
brj-23067	20	1	these	these	DET
brj-23067	20	2	two	two	NUM
brj-23067	20	3	soft	soft	ADJ
brj-23067	20	4	sensors	sensor	NOUN
brj-23067	20	5	are	be	AUX
brj-23067	20	6	well	well	ADV
brj-23067	20	7	described	describe	VERB
brj-23067	20	8	by	by	ADP
brj-23067	20	9	bohlin	bohlin	PROPN
brj-23067	20	10	(	(	PUNCT
brj-23067	20	11	2006	2006	NUM
brj-23067	20	12	)	)	PUNCT
brj-23067	20	13	and	and	CCONJ
brj-23067	20	14	kadlec	kadlec	PROPN
brj-23067	20	15	et	et	PROPN
brj-23067	20	16	al	al	PROPN
brj-23067	20	17	.	.	PUNCT
brj-23067	21	1	(	(	PUNCT
brj-23067	21	2	2008	2008	NUM
brj-23067	21	3	)	)	PUNCT
brj-23067	21	4	,	,	PUNCT
brj-23067	21	5	and	and	CCONJ
brj-23067	21	6	a	a	DET
brj-23067	21	7	short	short	ADJ
brj-23067	21	8	overview	overview	NOUN
brj-23067	21	9	is	be	AUX
brj-23067	21	10	given	give	VERB
brj-23067	21	11	below	below	ADP
brj-23067	21	12	of	of	ADP
brj-23067	21	13	pulp	pulp	NOUN
brj-23067	21	14	refining	refining	NOUN
brj-23067	21	15	processes	process	NOUN
brj-23067	21	16	.	.	PUNCT
brj-23067	22	1	the	the	DET
brj-23067	22	2	traditional	traditional	ADJ
brj-23067	22	3	process	process	NOUN
brj-23067	22	4	variables	variable	NOUN
brj-23067	22	5	are	be	AUX
brj-23067	22	6	most	most	ADV
brj-23067	22	7	often	often	ADV
brj-23067	22	8	inputs	input	VERB
brj-23067	22	9	to	to	ADP
brj-23067	22	10	a	a	DET
brj-23067	22	11	model	model	NOUN
brj-23067	22	12	-	-	PUNCT
brj-23067	22	13	driven	drive	VERB
brj-23067	22	14	sensor	sensor	NOUN
brj-23067	22	15	.	.	PUNCT
brj-23067	23	1	most	most	ADV
brj-23067	23	2	often	often	ADV
brj-23067	23	3	,	,	PUNCT
brj-23067	23	4	the	the	DET
brj-23067	23	5	model	model	NOUN
brj-23067	23	6	-	-	PUNCT
brj-23067	23	7	driven	drive	VERB
brj-23067	23	8	soft	soft	ADJ
brj-23067	23	9	sensors	sensor	NOUN
brj-23067	23	10	are	be	AUX
brj-23067	23	11	based	base	VERB
brj-23067	23	12	on	on	ADP
brj-23067	23	13	fpm	fpm	ADJ
brj-23067	23	14	,	,	PUNCT
brj-23067	23	15	extended	extended	ADJ
brj-23067	23	16	kalman	kalman	NOUN
brj-23067	23	17	filter	filter	NOUN
brj-23067	23	18	,	,	PUNCT
brj-23067	23	19	and	and	CCONJ
brj-23067	23	20	adaptive	adaptive	ADJ
brj-23067	23	21	observers	observer	NOUN
brj-23067	23	22	(	(	PUNCT
brj-23067	23	23	bastin	bastin	NOUN
brj-23067	23	24	and	and	CCONJ
brj-23067	23	25	dochain	dochain	NOUN
brj-23067	23	26	1990	1990	NUM
brj-23067	23	27	;	;	PUNCT
brj-23067	23	28	chruy	chruy	NOUN
brj-23067	23	29	1997	1997	NUM
brj-23067	23	30	;	;	PUNCT
brj-23067	23	31	jos	jos	PROPN
brj-23067	23	32	de	de	PROPN
brj-23067	23	33	assis	assis	NOUN
brj-23067	23	34	and	and	CCONJ
brj-23067	23	35	filho	filho	NOUN
brj-23067	23	36	2000	2000	NUM
brj-23067	23	37	)	)	PUNCT
brj-23067	23	38	.	.	PUNCT
brj-23067	24	1	peer	peer	NOUN
brj-23067	24	2	-	-	PUNCT
brj-23067	24	3	reviewed	review	VERB
brj-23067	24	4	article	article	NOUN
brj-23067	24	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	24	6	karlström	karlström	PROPN
brj-23067	24	7	et	et	PROPN
brj-23067	24	8	al	al	PROPN
brj-23067	24	9	.	.	PROPN
brj-23067	25	1	(	(	PUNCT
brj-23067	25	2	2024	2024	NUM
brj-23067	25	3	)	)	PUNCT
brj-23067	25	4	.	.	PUNCT
brj-23067	26	1	“	"	PUNCT
brj-23067	26	2	soft	soft	ADJ
brj-23067	26	3	sensors	sensor	NOUN
brj-23067	26	4	in	in	ADP
brj-23067	26	5	refining	refining	NOUN
brj-23067	26	6	,	,	PUNCT
brj-23067	26	7	”	"	PUNCT
brj-23067	26	8	bioresources	bioresource	NOUN
brj-23067	26	9	19(1	19(1	NUM
brj-23067	26	10	)	)	PUNCT
brj-23067	26	11	,	,	PUNCT
brj-23067	26	12	1030	1030	NUM
brj-23067	26	13	-	-	SYM
brj-23067	26	14	1057	1057	NUM
brj-23067	26	15	.	.	PUNCT
brj-23067	27	1	1031	1031	NUM
brj-23067	27	2	in	in	ADP
brj-23067	27	3	refining	refining	NOUN
brj-23067	27	4	processes	process	NOUN
brj-23067	27	5	,	,	PUNCT
brj-23067	27	6	the	the	DET
brj-23067	27	7	physical	physical	ADJ
brj-23067	27	8	models	model	NOUN
brj-23067	27	9	(	(	PUNCT
brj-23067	27	10	fpm	fpm	ADJ
brj-23067	27	11	)	)	PUNCT
brj-23067	27	12	are	be	AUX
brj-23067	27	13	of	of	ADP
brj-23067	27	14	special	special	ADJ
brj-23067	27	15	interest	interest	NOUN
brj-23067	27	16	,	,	PUNCT
brj-23067	27	17	as	as	SCONJ
brj-23067	27	18	nonlinear	nonlinear	ADJ
brj-23067	27	19	states	state	NOUN
brj-23067	27	20	can	can	AUX
brj-23067	27	21	be	be	AUX
brj-23067	27	22	derived	derive	VERB
brj-23067	27	23	(	(	PUNCT
brj-23067	27	24	miles	mile	NOUN
brj-23067	27	25	and	and	CCONJ
brj-23067	27	26	may	may	PROPN
brj-23067	27	27	1990	1990	NUM
brj-23067	27	28	,	,	PUNCT
brj-23067	27	29	1991	1991	NUM
brj-23067	27	30	;	;	PUNCT
brj-23067	27	31	harkonen	harkonen	PROPN
brj-23067	27	32	et	et	PROPN
brj-23067	27	33	al	al	PROPN
brj-23067	27	34	.	.	PROPN
brj-23067	27	35	1999	1999	NUM
brj-23067	27	36	,	,	PUNCT
brj-23067	27	37	2003	2003	NUM
brj-23067	27	38	;	;	PUNCT
brj-23067	27	39	huhtanen	huhtanen	NOUN
brj-23067	27	40	2004	2004	NUM
brj-23067	27	41	;	;	PUNCT
brj-23067	27	42	eriksson	eriksson	PROPN
brj-23067	27	43	2005	2005	NUM
brj-23067	27	44	;	;	PUNCT
brj-23067	27	45	karlström	karlström	NOUN
brj-23067	27	46	et	et	PROPN
brj-23067	27	47	al	al	PROPN
brj-23067	27	48	.	.	PROPN
brj-23067	27	49	2008	2008	NUM
brj-23067	27	50	;	;	PUNCT
brj-23067	27	51	eriksson	eriksson	PROPN
brj-23067	27	52	2009	2009	NUM
brj-23067	27	53	)	)	PUNCT
brj-23067	27	54	.	.	PUNCT
brj-23067	28	1	however	however	ADV
brj-23067	28	2	,	,	PUNCT
brj-23067	28	3	such	such	ADJ
brj-23067	28	4	models	model	NOUN
brj-23067	28	5	are	be	AUX
brj-23067	28	6	often	often	ADV
brj-23067	28	7	not	not	PART
brj-23067	28	8	suitable	suitable	ADJ
brj-23067	28	9	for	for	ADP
brj-23067	28	10	online	online	ADJ
brj-23067	28	11	applications	application	NOUN
brj-23067	28	12	.	.	PUNCT
brj-23067	29	1	through	through	ADP
brj-23067	29	2	measuring	measure	VERB
brj-23067	29	3	the	the	DET
brj-23067	29	4	temperature	temperature	NOUN
brj-23067	29	5	profile	profile	NOUN
brj-23067	29	6	inside	inside	ADP
brj-23067	29	7	the	the	DET
brj-23067	29	8	refining	refining	NOUN
brj-23067	29	9	zone	zone	NOUN
brj-23067	29	10	,	,	PUNCT
brj-23067	29	11	karlström	karlström	NOUN
brj-23067	29	12	and	and	CCONJ
brj-23067	29	13	eriksson	eriksson	PROPN
brj-23067	29	14	(	(	PUNCT
brj-23067	29	15	2014a	2014a	NUM
brj-23067	29	16	)	)	PUNCT
brj-23067	29	17	introduced	introduce	VERB
brj-23067	29	18	a	a	DET
brj-23067	29	19	simplified	simplified	ADJ
brj-23067	29	20	entropy	entropy	NOUN
brj-23067	29	21	modeling	model	VERB
brj-23067	29	22	concept	concept	NOUN
brj-23067	29	23	to	to	PART
brj-23067	29	24	cope	cope	VERB
brj-23067	29	25	with	with	ADP
brj-23067	29	26	defibration/	defibration/	NUM
brj-23067	29	27	fibrillation	fibrillation	NOUN
brj-23067	29	28	in	in	ADP
brj-23067	29	29	three	three	NUM
brj-23067	29	30	-	-	PUNCT
brj-23067	29	31	phase	phase	NOUN
brj-23067	29	32	systems	system	NOUN
brj-23067	29	33	.	.	PUNCT
brj-23067	30	1	this	this	DET
brj-23067	30	2	model	model	NOUN
brj-23067	30	3	allowed	allow	VERB
brj-23067	30	4	for	for	ADP
brj-23067	30	5	online	online	ADJ
brj-23067	30	6	estimation	estimation	NOUN
brj-23067	30	7	of	of	ADP
brj-23067	30	8	internal	internal	ADJ
brj-23067	30	9	variables	variable	NOUN
brj-23067	30	10	,	,	PUNCT
brj-23067	30	11	such	such	ADJ
brj-23067	30	12	as	as	ADP
brj-23067	30	13	consistency	consistency	NOUN
brj-23067	30	14	profile	profile	NOUN
brj-23067	30	15	,	,	PUNCT
brj-23067	30	16	backward	backward	ADJ
brj-23067	30	17	and	and	CCONJ
brj-23067	30	18	forward	forward	ADV
brj-23067	30	19	flowing	flow	VERB
brj-23067	30	20	steam	steam	NOUN
brj-23067	30	21	(	(	PUNCT
brj-23067	30	22	the	the	DET
brj-23067	30	23	direction	direction	NOUN
brj-23067	30	24	of	of	ADP
brj-23067	30	25	the	the	DET
brj-23067	30	26	steam	steam	NOUN
brj-23067	30	27	is	be	AUX
brj-23067	30	28	dependent	dependent	ADJ
brj-23067	30	29	on	on	ADP
brj-23067	30	30	where	where	SCONJ
brj-23067	30	31	to	to	PART
brj-23067	30	32	find	find	VERB
brj-23067	30	33	the	the	DET
brj-23067	30	34	maximum	maximum	ADJ
brj-23067	30	35	temperature	temperature	NOUN
brj-23067	30	36	(	(	PUNCT
brj-23067	30	37	karlström	karlström	NOUN
brj-23067	30	38	and	and	CCONJ
brj-23067	30	39	eriksson	eriksson	PROPN
brj-23067	30	40	2014b	2014b	NUM
brj-23067	30	41	,	,	PUNCT
brj-23067	30	42	2014c	2014c	NUM
brj-23067	30	43	,	,	PUNCT
brj-23067	30	44	2014d	2014d	NUM
brj-23067	30	45	)	)	PUNCT
brj-23067	30	46	)	)	PUNCT
brj-23067	30	47	,	,	PUNCT
brj-23067	30	48	shear	shear	NOUN
brj-23067	30	49	forces	force	NOUN
brj-23067	30	50	between	between	ADP
brj-23067	30	51	chips	chip	NOUN
brj-23067	30	52	/	/	SYM
brj-23067	30	53	pulp	pulp	NOUN
brj-23067	30	54	and	and	CCONJ
brj-23067	30	55	refining	refining	NOUN
brj-23067	30	56	segments	segment	NOUN
brj-23067	30	57	,	,	PUNCT
brj-23067	30	58	etc	etc	X
brj-23067	30	59	.	.	X
brj-23067	30	60	thereby	thereby	ADV
brj-23067	30	61	,	,	PUNCT
brj-23067	30	62	together	together	ADV
brj-23067	30	63	with	with	ADP
brj-23067	30	64	the	the	DET
brj-23067	30	65	traditional	traditional	ADJ
brj-23067	30	66	process	process	NOUN
brj-23067	30	67	variables	variable	NOUN
brj-23067	30	68	(	(	PUNCT
brj-23067	30	69	such	such	ADJ
brj-23067	30	70	as	as	ADP
brj-23067	30	71	motor	motor	NOUN
brj-23067	30	72	load	load	NOUN
brj-23067	30	73	,	,	PUNCT
brj-23067	30	74	production	production	NOUN
brj-23067	30	75	(	(	PUNCT
brj-23067	30	76	also	also	ADV
brj-23067	30	77	called	call	VERB
brj-23067	30	78	throughput	throughput	NOUN
brj-23067	30	79	)	)	PUNCT
brj-23067	30	80	,	,	PUNCT
brj-23067	30	81	and	and	CCONJ
brj-23067	30	82	dilution	dilution	NOUN
brj-23067	30	83	water	water	NOUN
brj-23067	30	84	feed	feed	NOUN
brj-23067	30	85	rates	rate	NOUN
brj-23067	30	86	(	(	PUNCT
brj-23067	30	87	also	also	ADV
brj-23067	30	88	called	call	VERB
brj-23067	30	89	external	external	ADJ
brj-23067	30	90	variables	variable	NOUN
brj-23067	30	91	)	)	PUNCT
brj-23067	30	92	)	)	PUNCT
brj-23067	30	93	,	,	PUNCT
brj-23067	30	94	the	the	DET
brj-23067	30	95	number	number	NOUN
brj-23067	30	96	of	of	ADP
brj-23067	30	97	process	process	NOUN
brj-23067	30	98	variables	variable	NOUN
brj-23067	30	99	expanded	expand	VERB
brj-23067	30	100	considerably	considerably	ADV
brj-23067	30	101	,	,	PUNCT
brj-23067	30	102	which	which	PRON
brj-23067	30	103	also	also	ADV
brj-23067	30	104	allowed	allow	VERB
brj-23067	30	105	for	for	ADP
brj-23067	30	106	a	a	DET
brj-23067	30	107	broader	broad	ADJ
brj-23067	30	108	use	use	NOUN
brj-23067	30	109	of	of	ADP
brj-23067	30	110	data	data	NOUN
brj-23067	30	111	-	-	PUNCT
brj-23067	30	112	driven	drive	VERB
brj-23067	30	113	soft	soft	ADJ
brj-23067	30	114	sensors	sensor	NOUN
brj-23067	30	115	where	where	SCONJ
brj-23067	30	116	for	for	ADP
brj-23067	30	117	instance	instance	NOUN
brj-23067	30	118	parametric	parametric	ADJ
brj-23067	30	119	black	black	ADJ
brj-23067	30	120	-	-	PUNCT
brj-23067	30	121	box	box	NOUN
brj-23067	30	122	models	model	NOUN
brj-23067	30	123	have	have	AUX
brj-23067	30	124	been	be	AUX
brj-23067	30	125	used	use	VERB
brj-23067	30	126	successfully	successfully	ADV
brj-23067	30	127	in	in	ADP
brj-23067	30	128	several	several	ADJ
brj-23067	30	129	processes	process	NOUN
brj-23067	30	130	(	(	PUNCT
brj-23067	30	131	ljung	ljung	ADJ
brj-23067	30	132	1987	1987	NUM
brj-23067	30	133	;	;	PUNCT
brj-23067	30	134	principe	principe	NOUN
brj-23067	30	135	et	et	PROPN
brj-23067	30	136	al	al	PROPN
brj-23067	30	137	.	.	PROPN
brj-23067	30	138	2000	2000	NUM
brj-23067	30	139	;	;	PUNCT
brj-23067	30	140	wold	wold	PROPN
brj-23067	30	141	et	et	PROPN
brj-23067	30	142	al	al	PROPN
brj-23067	30	143	.	.	PROPN
brj-23067	30	144	2001	2001	NUM
brj-23067	30	145	;	;	PUNCT
brj-23067	30	146	jolliffe	jolliffe	VERB
brj-23067	30	147	2002	2002	NUM
brj-23067	30	148	)	)	PUNCT
brj-23067	30	149	.	.	PUNCT
brj-23067	31	1	however	however	ADV
brj-23067	31	2	,	,	PUNCT
brj-23067	31	3	parametric	parametric	ADJ
brj-23067	31	4	models	model	NOUN
brj-23067	31	5	are	be	AUX
brj-23067	31	6	often	often	ADV
brj-23067	31	7	based	base	VERB
brj-23067	31	8	on	on	ADP
brj-23067	31	9	linear	linear	PROPN
brj-23067	31	10	methodology	methodology	NOUN
brj-23067	31	11	,	,	PUNCT
brj-23067	31	12	requiring	require	VERB
brj-23067	31	13	updated	update	VERB
brj-23067	31	14	routines	routine	NOUN
brj-23067	31	15	of	of	ADP
brj-23067	31	16	the	the	DET
brj-23067	31	17	model	model	NOUN
brj-23067	31	18	parameters	parameter	NOUN
brj-23067	31	19	to	to	PART
brj-23067	31	20	cover	cover	VERB
brj-23067	31	21	an	an	DET
brj-23067	31	22	entire	entire	ADJ
brj-23067	31	23	process	process	NOUN
brj-23067	31	24	operation	operation	NOUN
brj-23067	31	25	window	window	NOUN
brj-23067	31	26	that	that	PRON
brj-23067	31	27	also	also	ADV
brj-23067	31	28	changes	change	VERB
brj-23067	31	29	over	over	ADP
brj-23067	31	30	time	time	NOUN
brj-23067	31	31	(	(	PUNCT
brj-23067	31	32	berg	berg	PROPN
brj-23067	31	33	and	and	CCONJ
brj-23067	31	34	karlström	karlström	PROPN
brj-23067	31	35	2005	2005	NUM
brj-23067	31	36	;	;	PUNCT
brj-23067	31	37	eriksson	eriksson	PROPN
brj-23067	31	38	2005	2005	NUM
brj-23067	31	39	;	;	PUNCT
brj-23067	31	40	eriksson	eriksson	PROPN
brj-23067	31	41	2009	2009	NUM
brj-23067	31	42	;	;	PUNCT
brj-23067	31	43	karlström	karlström	NOUN
brj-23067	31	44	et	et	PROPN
brj-23067	31	45	al	al	PROPN
brj-23067	31	46	.	.	PROPN
brj-23067	31	47	2015b	2015b	NUM
brj-23067	31	48	,	,	PUNCT
brj-23067	31	49	2016a	2016a	NUM
brj-23067	31	50	,	,	PUNCT
brj-23067	31	51	b	b	NOUN
brj-23067	31	52	)	)	PUNCT
brj-23067	31	53	.	.	PUNCT
brj-23067	32	1	this	this	PRON
brj-23067	32	2	limits	limit	VERB
brj-23067	32	3	the	the	DET
brj-23067	32	4	use	use	NOUN
brj-23067	32	5	of	of	ADP
brj-23067	32	6	such	such	ADJ
brj-23067	32	7	models	model	NOUN
brj-23067	32	8	(	(	PUNCT
brj-23067	32	9	karlström	karlström	NOUN
brj-23067	32	10	et	et	PROPN
brj-23067	32	11	al	al	PROPN
brj-23067	32	12	.	.	PROPN
brj-23067	32	13	2022	2022	NUM
brj-23067	32	14	)	)	PUNCT
brj-23067	32	15	.	.	PUNCT
brj-23067	33	1	therefore	therefore	ADV
brj-23067	33	2	,	,	PUNCT
brj-23067	33	3	data	data	NOUN
brj-23067	33	4	-	-	PUNCT
brj-23067	33	5	driven	drive	VERB
brj-23067	33	6	models	model	NOUN
brj-23067	33	7	based	base	VERB
brj-23067	33	8	on	on	ADP
brj-23067	33	9	artificial	artificial	ADJ
brj-23067	33	10	neural	neural	ADJ
brj-23067	33	11	networks	network	NOUN
brj-23067	33	12	(	(	PUNCT
brj-23067	33	13	ann	ann	PROPN
brj-23067	33	14	)	)	PUNCT
brj-23067	33	15	,	,	PUNCT
brj-23067	33	16	with	with	ADP
brj-23067	33	17	multiple	multiple	ADJ
brj-23067	33	18	layers	layer	NOUN
brj-23067	33	19	of	of	ADP
brj-23067	33	20	neurons	neuron	NOUN
brj-23067	33	21	,	,	PUNCT
brj-23067	33	22	can	can	AUX
brj-23067	33	23	be	be	AUX
brj-23067	33	24	an	an	DET
brj-23067	33	25	alternative	alternative	NOUN
brj-23067	33	26	to	to	PART
brj-23067	33	27	handle	handle	VERB
brj-23067	33	28	inherent	inherent	ADJ
brj-23067	33	29	nonlinearities	nonlinearitie	NOUN
brj-23067	33	30	(	(	PUNCT
brj-23067	33	31	demuth	demuth	NOUN
brj-23067	33	32	and	and	CCONJ
brj-23067	33	33	beale	beale	NOUN
brj-23067	33	34	2004	2004	NUM
brj-23067	33	35	;	;	PUNCT
brj-23067	33	36	rajesh	rajesh	PROPN
brj-23067	33	37	and	and	CCONJ
brj-23067	33	38	ray	ray	NOUN
brj-23067	33	39	2006	2006	NUM
brj-23067	33	40	)	)	PUNCT
brj-23067	33	41	.	.	PUNCT
brj-23067	34	1	in	in	ADP
brj-23067	34	2	this	this	DET
brj-23067	34	3	paper	paper	NOUN
brj-23067	34	4	,	,	PUNCT
brj-23067	34	5	the	the	DET
brj-23067	34	6	authors	author	NOUN
brj-23067	34	7	focused	focus	VERB
brj-23067	34	8	on	on	ADP
brj-23067	34	9	ann	ann	PROPN
brj-23067	34	10	-	-	PUNCT
brj-23067	34	11	models	model	NOUN
brj-23067	34	12	based	base	VERB
brj-23067	34	13	on	on	ADP
brj-23067	34	14	a	a	DET
brj-23067	34	15	gradientor	gradientor	NOUN
brj-23067	34	16	jacobianbased	jacobianbase	VERB
brj-23067	34	17	levenberg	levenberg	PROPN
brj-23067	34	18	-	-	PUNCT
brj-23067	34	19	marquardt	marquardt	PROPN
brj-23067	34	20	method	method	NOUN
brj-23067	34	21	(	(	PUNCT
brj-23067	34	22	lm	lm	INTJ
brj-23067	34	23	)	)	PUNCT
brj-23067	34	24	(	(	PUNCT
brj-23067	34	25	levenberg	levenberg	PROPN
brj-23067	34	26	1944	1944	NUM
brj-23067	34	27	;	;	PUNCT
brj-23067	34	28	marquardt	marquardt	PROPN
brj-23067	34	29	1963	1963	NUM
brj-23067	34	30	)	)	PUNCT
brj-23067	34	31	.	.	PUNCT
brj-23067	35	1	this	this	DET
brj-23067	35	2	algorithm	algorithm	NOUN
brj-23067	35	3	was	be	AUX
brj-23067	35	4	used	use	VERB
brj-23067	35	5	to	to	PART
brj-23067	35	6	solve	solve	VERB
brj-23067	35	7	non	non	ADJ
brj-23067	35	8	-	-	ADJ
brj-23067	35	9	linear	linear	ADJ
brj-23067	35	10	least	least	ADJ
brj-23067	35	11	square	square	ADJ
brj-23067	35	12	problems	problem	NOUN
brj-23067	35	13	.	.	PUNCT
brj-23067	36	1	other	other	ADJ
brj-23067	36	2	backpropagation	backpropagation	NOUN
brj-23067	36	3	methods	method	NOUN
brj-23067	36	4	can	can	AUX
brj-23067	36	5	be	be	AUX
brj-23067	36	6	used	use	VERB
brj-23067	36	7	as	as	ADV
brj-23067	36	8	well	well	ADV
brj-23067	36	9	(	(	PUNCT
brj-23067	36	10	hagan	hagan	NOUN
brj-23067	36	11	and	and	CCONJ
brj-23067	36	12	menhaj	menhaj	PROPN
brj-23067	36	13	1994	1994	NUM
brj-23067	36	14	;	;	PUNCT
brj-23067	36	15	björck	björck	NOUN
brj-23067	36	16	1996	1996	NUM
brj-23067	36	17	;	;	PUNCT
brj-23067	36	18	hagan	hagan	PROPN
brj-23067	36	19	et	et	PROPN
brj-23067	36	20	al	al	PROPN
brj-23067	36	21	.	.	PROPN
brj-23067	36	22	1996	1996	NUM
brj-23067	36	23	;	;	PUNCT
brj-23067	36	24	kermani	kermani	NOUN
brj-23067	36	25	et	et	PROPN
brj-23067	36	26	al	al	PROPN
brj-23067	36	27	.	.	PROPN
brj-23067	36	28	2005	2005	NUM
brj-23067	36	29	;	;	PUNCT
brj-23067	36	30	bonnans	bonnan	NOUN
brj-23067	36	31	et	et	PROPN
brj-23067	36	32	al	al	PROPN
brj-23067	36	33	.	.	PROPN
brj-23067	36	34	2006	2006	NUM
brj-23067	36	35	)	)	PUNCT
brj-23067	36	36	,	,	PUNCT
brj-23067	36	37	but	but	CCONJ
brj-23067	36	38	lm	lm	PROPN
brj-23067	36	39	has	have	AUX
brj-23067	36	40	proven	prove	VERB
brj-23067	36	41	to	to	PART
brj-23067	36	42	be	be	AUX
brj-23067	36	43	both	both	PRON
brj-23067	36	44	robust	robust	ADJ
brj-23067	36	45	and	and	CCONJ
brj-23067	36	46	relatively	relatively	ADV
brj-23067	36	47	fast	fast	ADV
brj-23067	36	48	,	,	PUNCT
brj-23067	36	49	which	which	PRON
brj-23067	36	50	is	be	AUX
brj-23067	36	51	favorable	favorable	ADJ
brj-23067	36	52	when	when	SCONJ
brj-23067	36	53	handling	handle	VERB
brj-23067	36	54	large	large	ADJ
brj-23067	36	55	industrial	industrial	ADJ
brj-23067	36	56	data	datum	NOUN
brj-23067	36	57	sets	set	NOUN
brj-23067	36	58	of	of	ADP
brj-23067	36	59	information	information	NOUN
brj-23067	36	60	.	.	PUNCT
brj-23067	37	1	in	in	ADP
brj-23067	37	2	this	this	DET
brj-23067	37	3	paper	paper	NOUN
brj-23067	37	4	,	,	PUNCT
brj-23067	37	5	the	the	DET
brj-23067	37	6	authors	author	NOUN
brj-23067	37	7	concentrated	concentrate	VERB
brj-23067	37	8	the	the	DET
brj-23067	37	9	analysis	analysis	NOUN
brj-23067	37	10	on	on	ADP
brj-23067	37	11	the	the	DET
brj-23067	37	12	estimation	estimation	NOUN
brj-23067	37	13	of	of	ADP
brj-23067	37	14	a	a	PRON
brj-23067	37	15	)	)	PUNCT
brj-23067	37	16	the	the	DET
brj-23067	37	17	maximum	maximum	ADJ
brj-23067	37	18	temperatures	temperature	NOUN
brj-23067	37	19	in	in	ADP
brj-23067	37	20	the	the	DET
brj-23067	37	21	flat	flat	ADJ
brj-23067	37	22	zone	zone	NOUN
brj-23067	37	23	(	(	PUNCT
brj-23067	37	24	fz	fz	NOUN
brj-23067	37	25	)	)	PUNCT
brj-23067	37	26	and	and	CCONJ
brj-23067	37	27	the	the	DET
brj-23067	37	28	conical	conical	NOUN
brj-23067	37	29	zone	zone	NOUN
brj-23067	37	30	(	(	PUNCT
brj-23067	37	31	cd	cd	PROPN
brj-23067	37	32	)	)	PUNCT
brj-23067	37	33	;	;	PUNCT
brj-23067	37	34	b	b	X
brj-23067	37	35	)	)	PUNCT
brj-23067	37	36	consistencies	consistency	NOUN
brj-23067	37	37	out	out	ADP
brj-23067	37	38	from	from	ADP
brj-23067	37	39	fz	fz	NOUN
brj-23067	37	40	and	and	CCONJ
brj-23067	37	41	cd	cd	PROPN
brj-23067	37	42	;	;	PUNCT
brj-23067	37	43	and	and	CCONJ
brj-23067	37	44	c	c	X
brj-23067	37	45	)	)	PUNCT
brj-23067	37	46	the	the	DET
brj-23067	37	47	pulp	pulp	NOUN
brj-23067	37	48	properties	property	NOUN
brj-23067	37	49	shives	shive	NOUN
brj-23067	37	50	(	(	PUNCT
brj-23067	37	51	wide	wide	ADJ
brj-23067	37	52	)	)	PUNCT
brj-23067	37	53	,	,	PUNCT
brj-23067	37	54	fiber	fiber	NOUN
brj-23067	37	55	length	length	NOUN
brj-23067	37	56	,	,	PUNCT
brj-23067	37	57	and	and	CCONJ
brj-23067	37	58	freeness	freeness	PROPN
brj-23067	37	59	.	.	PUNCT
brj-23067	38	1	it	it	PRON
brj-23067	38	2	is	be	AUX
brj-23067	38	3	worth	worth	ADJ
brj-23067	38	4	mentioning	mention	VERB
brj-23067	38	5	that	that	SCONJ
brj-23067	38	6	the	the	DET
brj-23067	38	7	measured	measure	VERB
brj-23067	38	8	shives	shive	NOUN
brj-23067	38	9	can	can	AUX
brj-23067	38	10	be	be	AUX
brj-23067	38	11	wide	wide	ADJ
brj-23067	38	12	or	or	CCONJ
brj-23067	38	13	long	long	ADJ
brj-23067	38	14	,	,	PUNCT
brj-23067	38	15	where	where	SCONJ
brj-23067	38	16	the	the	DET
brj-23067	38	17	term	term	NOUN
brj-23067	38	18	“	"	PUNCT
brj-23067	38	19	wide	wide	ADJ
brj-23067	38	20	”	"	PUNCT
brj-23067	38	21	refers	refer	VERB
brj-23067	38	22	to	to	ADP
brj-23067	38	23	the	the	DET
brj-23067	38	24	thickness	thickness	NOUN
brj-23067	38	25	of	of	ADP
brj-23067	38	26	the	the	DET
brj-23067	38	27	fibers	fiber	NOUN
brj-23067	38	28	.	.	PUNCT
brj-23067	39	1	the	the	DET
brj-23067	39	2	term	term	NOUN
brj-23067	39	3	“	"	PUNCT
brj-23067	39	4	long	long	ADJ
brj-23067	39	5	”	"	PUNCT
brj-23067	39	6	refers	refer	VERB
brj-23067	39	7	to	to	ADP
brj-23067	39	8	the	the	DET
brj-23067	39	9	length	length	NOUN
brj-23067	39	10	of	of	ADP
brj-23067	39	11	the	the	DET
brj-23067	39	12	fibers	fiber	NOUN
brj-23067	39	13	on	on	ADP
brj-23067	39	14	average	average	ADJ
brj-23067	39	15	.	.	PUNCT
brj-23067	40	1	here	here	ADV
brj-23067	40	2	,	,	PUNCT
brj-23067	40	3	the	the	DET
brj-23067	40	4	focus	focus	NOUN
brj-23067	40	5	is	be	AUX
brj-23067	40	6	on	on	ADP
brj-23067	40	7	the	the	DET
brj-23067	40	8	measured	measure	VERB
brj-23067	40	9	shives	shive	NOUN
brj-23067	40	10	(	(	PUNCT
brj-23067	40	11	wide	wide	ADJ
brj-23067	40	12	)	)	PUNCT
brj-23067	40	13	,	,	PUNCT
brj-23067	40	14	as	as	SCONJ
brj-23067	40	15	the	the	DET
brj-23067	40	16	fiber	fiber	NOUN
brj-23067	40	17	length	length	NOUN
brj-23067	40	18	is	be	AUX
brj-23067	40	19	also	also	ADV
brj-23067	40	20	being	be	AUX
brj-23067	40	21	used	use	VERB
brj-23067	40	22	as	as	ADP
brj-23067	40	23	a	a	DET
brj-23067	40	24	measure	measure	NOUN
brj-23067	40	25	.	.	PUNCT
brj-23067	41	1	experimental	experimental	ADJ
brj-23067	41	2	materials	material	NOUN
brj-23067	41	3	and	and	CCONJ
brj-23067	41	4	methods	method	NOUN
brj-23067	41	5	this	this	DET
brj-23067	41	6	section	section	NOUN
brj-23067	41	7	covers	cover	VERB
brj-23067	41	8	an	an	DET
brj-23067	41	9	introduction	introduction	NOUN
brj-23067	41	10	to	to	ADP
brj-23067	41	11	special	special	ADJ
brj-23067	41	12	process	process	NOUN
brj-23067	41	13	conditions	condition	NOUN
brj-23067	41	14	in	in	ADP
brj-23067	41	15	a	a	DET
brj-23067	41	16	full	full	ADJ
brj-23067	41	17	-	-	PUNCT
brj-23067	41	18	scale	scale	NOUN
brj-23067	41	19	ctmp	ctmp	NOUN
brj-23067	41	20	production	production	NOUN
brj-23067	41	21	line	line	NOUN
brj-23067	41	22	followed	follow	VERB
brj-23067	41	23	by	by	ADP
brj-23067	41	24	information	information	NOUN
brj-23067	41	25	about	about	ADP
brj-23067	41	26	the	the	DET
brj-23067	41	27	ann	ann	NOUN
brj-23067	41	28	-	-	PUNCT
brj-23067	41	29	structure	structure	NOUN
brj-23067	41	30	used	use	VERB
brj-23067	41	31	.	.	PUNCT
brj-23067	42	1	some	some	PRON
brj-23067	42	2	of	of	ADP
brj-23067	42	3	all	all	DET
brj-23067	42	4	possible	possible	ADJ
brj-23067	42	5	model	model	NOUN
brj-23067	42	6	input	input	NOUN
brj-23067	42	7	candidates	candidate	NOUN
brj-23067	42	8	are	be	AUX
brj-23067	42	9	thereafter	thereafter	ADV
brj-23067	42	10	penetrated	penetrate	VERB
brj-23067	42	11	in	in	ADP
brj-23067	42	12	more	more	ADJ
brj-23067	42	13	detail	detail	NOUN
brj-23067	42	14	.	.	PUNCT
brj-23067	43	1	the	the	DET
brj-23067	43	2	output	output	NOUN
brj-23067	43	3	candidates	candidate	NOUN
brj-23067	43	4	will	will	AUX
brj-23067	43	5	be	be	AUX
brj-23067	43	6	temperatures	temperature	NOUN
brj-23067	43	7	and	and	CCONJ
brj-23067	43	8	consistencies	consistency	NOUN
brj-23067	43	9	in	in	ADP
brj-23067	43	10	the	the	DET
brj-23067	43	11	refining	refining	NOUN
brj-23067	43	12	zones	zone	NOUN
brj-23067	43	13	and	and	CCONJ
brj-23067	43	14	pulp	pulp	NOUN
brj-23067	43	15	properties	property	NOUN
brj-23067	43	16	with	with	ADP
brj-23067	43	17	specific	specific	ADJ
brj-23067	43	18	criteria	criterion	NOUN
brj-23067	43	19	for	for	ADP
brj-23067	43	20	the	the	DET
brj-23067	43	21	selected	select	VERB
brj-23067	43	22	training	training	NOUN
brj-23067	43	23	and	and	CCONJ
brj-23067	43	24	validation	validation	NOUN
brj-23067	43	25	sets	set	NOUN
brj-23067	43	26	.	.	PUNCT
brj-23067	44	1	peer	peer	NOUN
brj-23067	44	2	-	-	PUNCT
brj-23067	44	3	reviewed	review	VERB
brj-23067	44	4	article	article	NOUN
brj-23067	44	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	44	6	karlström	karlström	PROPN
brj-23067	44	7	et	et	PROPN
brj-23067	44	8	al	al	PROPN
brj-23067	44	9	.	.	PROPN
brj-23067	45	1	(	(	PUNCT
brj-23067	45	2	2024	2024	NUM
brj-23067	45	3	)	)	PUNCT
brj-23067	45	4	.	.	PUNCT
brj-23067	46	1	“	"	PUNCT
brj-23067	46	2	soft	soft	ADJ
brj-23067	46	3	sensors	sensor	NOUN
brj-23067	46	4	in	in	ADP
brj-23067	46	5	refining	refining	NOUN
brj-23067	46	6	,	,	PUNCT
brj-23067	46	7	”	"	PUNCT
brj-23067	46	8	bioresources	bioresource	NOUN
brj-23067	46	9	19(1	19(1	NUM
brj-23067	46	10	)	)	PUNCT
brj-23067	46	11	,	,	PUNCT
brj-23067	46	12	1030	1030	NUM
brj-23067	46	13	-	-	SYM
brj-23067	46	14	1057	1057	NUM
brj-23067	46	15	.	.	PUNCT
brj-23067	47	1	1032	1032	NUM
brj-23067	47	2	fundamentals	fundamental	NOUN
brj-23067	47	3	in	in	ADP
brj-23067	47	4	this	this	DET
brj-23067	47	5	study	study	NOUN
brj-23067	47	6	,	,	PUNCT
brj-23067	47	7	the	the	DET
brj-23067	47	8	production	production	NOUN
brj-23067	47	9	line	line	NOUN
brj-23067	47	10	consisted	consist	VERB
brj-23067	47	11	of	of	ADP
brj-23067	47	12	an	an	DET
brj-23067	47	13	rgp82cd	rgp82cd	NOUN
brj-23067	47	14	(	(	PUNCT
brj-23067	47	15	with	with	ADP
brj-23067	47	16	a	a	DET
brj-23067	47	17	capacity	capacity	NOUN
brj-23067	47	18	of	of	ADP
brj-23067	47	19	about	about	ADV
brj-23067	47	20	36	36	NUM
brj-23067	47	21	t	t	PROPN
brj-23067	47	22	/	/	SYM
brj-23067	47	23	h	h	NOUN
brj-23067	47	24	and	and	CCONJ
brj-23067	47	25	a	a	DET
brj-23067	47	26	normal	normal	ADJ
brj-23067	47	27	operation	operation	NOUN
brj-23067	47	28	of	of	ADP
brj-23067	47	29	16	16	NUM
brj-23067	47	30	to	to	PART
brj-23067	47	31	20	20	NUM
brj-23067	47	32	mw	mw	NOUN
brj-23067	47	33	)	)	PUNCT
brj-23067	47	34	.	.	PUNCT
brj-23067	48	1	three	three	NUM
brj-23067	48	2	small	small	ADJ
brj-23067	48	3	6	6	NUM
brj-23067	48	4	mw	mw	NOUN
brj-23067	48	5	refiners	refiner	NOUN
brj-23067	48	6	(	(	PUNCT
brj-23067	48	7	rlp54	rlp54	NOUN
brj-23067	48	8	)	)	PUNCT
brj-23067	48	9	ran	run	VERB
brj-23067	48	10	in	in	ADP
brj-23067	48	11	parallel	parallel	NOUN
brj-23067	48	12	but	but	CCONJ
brj-23067	48	13	the	the	DET
brj-23067	48	14	focus	focus	NOUN
brj-23067	48	15	was	be	AUX
brj-23067	48	16	the	the	DET
brj-23067	48	17	cd	cd	NOUN
brj-23067	48	18	-	-	PUNCT
brj-23067	48	19	refiner	refiner	NOUN
brj-23067	48	20	.	.	PUNCT
brj-23067	49	1	the	the	DET
brj-23067	49	2	cd	cd	PROPN
brj-23067	49	3	-	-	PUNCT
brj-23067	49	4	refiner	refiner	NOUN
brj-23067	49	5	,	,	PUNCT
brj-23067	49	6	consists	consist	VERB
brj-23067	49	7	of	of	ADP
brj-23067	49	8	two	two	NUM
brj-23067	49	9	serially	serially	ADV
brj-23067	49	10	linked	link	VERB
brj-23067	49	11	refining	refining	NOUN
brj-23067	49	12	zones	zone	NOUN
brj-23067	49	13	called	call	VERB
brj-23067	49	14	the	the	DET
brj-23067	49	15	flat	flat	ADJ
brj-23067	49	16	zone	zone	NOUN
brj-23067	49	17	(	(	PUNCT
brj-23067	49	18	fz	fz	NOUN
brj-23067	49	19	)	)	PUNCT
brj-23067	49	20	and	and	CCONJ
brj-23067	49	21	the	the	DET
brj-23067	49	22	conical	conical	NOUN
brj-23067	49	23	zone	zone	NOUN
brj-23067	49	24	(	(	PUNCT
brj-23067	49	25	cd	cd	PROPN
brj-23067	49	26	)	)	PUNCT
brj-23067	49	27	,	,	PUNCT
brj-23067	49	28	see	see	VERB
brj-23067	49	29	fig	fig	NOUN
brj-23067	49	30	.	.	PUNCT
brj-23067	50	1	1	1	X
brj-23067	50	2	.	.	X
brj-23067	50	3	in	in	ADP
brj-23067	50	4	each	each	DET
brj-23067	50	5	refining	refining	NOUN
brj-23067	50	6	zone	zone	NOUN
brj-23067	50	7	,	,	PUNCT
brj-23067	50	8	refining	refining	NOUN
brj-23067	50	9	segments	segment	NOUN
brj-23067	50	10	were	be	AUX
brj-23067	50	11	mounted	mount	VERB
brj-23067	50	12	on	on	ADP
brj-23067	50	13	a	a	DET
brj-23067	50	14	stationary	stationary	NOUN
brj-23067	50	15	and	and	CCONJ
brj-23067	50	16	a	a	DET
brj-23067	50	17	rotating	rotate	VERB
brj-23067	50	18	disc	disc	NOUN
brj-23067	50	19	.	.	PUNCT
brj-23067	51	1	the	the	DET
brj-23067	51	2	chips	chip	NOUN
brj-23067	51	3	were	be	AUX
brj-23067	51	4	fed	feed	VERB
brj-23067	51	5	into	into	ADP
brj-23067	51	6	the	the	DET
brj-23067	51	7	fz	fz	PROPN
brj-23067	51	8	refining	refining	NOUN
brj-23067	51	9	zone	zone	NOUN
brj-23067	51	10	and	and	CCONJ
brj-23067	51	11	moved	move	VERB
brj-23067	51	12	towards	towards	ADP
brj-23067	51	13	the	the	DET
brj-23067	51	14	periphery	periphery	NOUN
brj-23067	51	15	of	of	ADP
brj-23067	51	16	the	the	DET
brj-23067	51	17	cd	cd	PROPN
brj-23067	51	18	by	by	ADP
brj-23067	51	19	centrifugal	centrifugal	ADJ
brj-23067	51	20	forces	force	NOUN
brj-23067	51	21	.	.	PUNCT
brj-23067	52	1	fig	fig	NOUN
brj-23067	52	2	.	.	PUNCT
brj-23067	53	1	1	1	X
brj-23067	53	2	.	.	X
brj-23067	53	3	a	a	DET
brj-23067	53	4	schematic	schematic	ADJ
brj-23067	53	5	drawing	drawing	NOUN
brj-23067	53	6	of	of	ADP
brj-23067	53	7	a	a	DET
brj-23067	53	8	cd	cd	NOUN
brj-23067	53	9	refiner	refiner	NOUN
brj-23067	53	10	.	.	PUNCT
brj-23067	54	1	the	the	DET
brj-23067	54	2	vertical	vertical	ADJ
brj-23067	54	3	fz	fz	PROPN
brj-23067	54	4	is	be	AUX
brj-23067	54	5	directly	directly	ADV
brj-23067	54	6	linked	link	VERB
brj-23067	54	7	to	to	ADP
brj-23067	54	8	the	the	DET
brj-23067	54	9	cd	cd	PROPN
brj-23067	54	10	via	via	ADP
brj-23067	54	11	an	an	DET
brj-23067	54	12	expanding	expand	VERB
brj-23067	54	13	point	point	NOUN
brj-23067	54	14	.	.	PUNCT
brj-23067	55	1	distance	distance	NOUN
brj-23067	55	2	between	between	ADP
brj-23067	55	3	the	the	DET
brj-23067	55	4	stationary	stationary	ADJ
brj-23067	55	5	and	and	CCONJ
brj-23067	55	6	rotating	rotate	VERB
brj-23067	55	7	segments	segment	NOUN
brj-23067	55	8	(	(	PUNCT
brj-23067	55	9	plate	plate	NOUN
brj-23067	55	10	gaps	gap	NOUN
brj-23067	55	11	)	)	PUNCT
brj-23067	55	12	is	be	AUX
brj-23067	55	13	represented	represent	VERB
brj-23067	55	14	by	by	ADP
brj-23067	55	15	δcd	δcd	NOUN
brj-23067	55	16	and	and	CCONJ
brj-23067	55	17	δfz	δfz	VERB
brj-23067	55	18	.	.	PUNCT
brj-23067	56	1	for	for	ADP
brj-23067	56	2	clarification	clarification	NOUN
brj-23067	56	3	,	,	PUNCT
brj-23067	56	4	the	the	DET
brj-23067	56	5	pulp	pulp	NOUN
brj-23067	56	6	is	be	AUX
brj-23067	56	7	introduced	introduce	VERB
brj-23067	56	8	from	from	ADP
brj-23067	56	9	below	below	ADP
brj-23067	56	10	in	in	ADP
brj-23067	56	11	the	the	DET
brj-23067	56	12	figure	figure	NOUN
brj-23067	56	13	,	,	PUNCT
brj-23067	56	14	i.e.	i.e.	X
brj-23067	56	15	at	at	SCONJ
brj-23067	56	16	the	the	DET
brj-23067	56	17	label	label	NOUN
brj-23067	56	18	“	"	PUNCT
brj-23067	56	19	δfz	δfz	VERB
brj-23067	56	20	”	"	PUNCT
brj-23067	56	21	.	.	PUNCT
brj-23067	57	1	the	the	DET
brj-23067	57	2	segments	segment	NOUN
brj-23067	57	3	in	in	ADP
brj-23067	57	4	fig	fig	NOUN
brj-23067	57	5	.	.	PUNCT
brj-23067	58	1	1	1	NUM
brj-23067	58	2	have	have	VERB
brj-23067	58	3	a	a	DET
brj-23067	58	4	specific	specific	ADJ
brj-23067	58	5	pattern	pattern	NOUN
brj-23067	58	6	with	with	ADP
brj-23067	58	7	several	several	ADJ
brj-23067	58	8	bars	bar	NOUN
brj-23067	58	9	to	to	ADP
brj-23067	58	10	defibrate	defibrate	NOUN
brj-23067	58	11	chips	chip	NOUN
brj-23067	58	12	and	and	CCONJ
brj-23067	58	13	to	to	PART
brj-23067	58	14	fibrillate	fibrillate	VERB
brj-23067	58	15	the	the	DET
brj-23067	58	16	pulp	pulp	NOUN
brj-23067	58	17	along	along	ADP
brj-23067	58	18	the	the	DET
brj-23067	58	19	way	way	NOUN
brj-23067	58	20	from	from	ADP
brj-23067	58	21	the	the	DET
brj-23067	58	22	centrum	centrum	NOUN
brj-23067	58	23	(	(	PUNCT
brj-23067	58	24	fig	fig	NOUN
brj-23067	58	25	.	.	PUNCT
brj-23067	59	1	2a	2a	NUM
brj-23067	59	2	)	)	PUNCT
brj-23067	60	1	to	to	ADP
brj-23067	60	2	the	the	DET
brj-23067	60	3	periphery	periphery	NOUN
brj-23067	60	4	of	of	ADP
brj-23067	60	5	the	the	DET
brj-23067	60	6	refiner	refiner	NOUN
brj-23067	60	7	(	(	PUNCT
brj-23067	60	8	fig	fig	NOUN
brj-23067	60	9	.	.	PUNCT
brj-23067	60	10	2b	2b	NUM
brj-23067	60	11	)	)	PUNCT
brj-23067	60	12	.	.	PUNCT
brj-23067	61	1	fig	fig	NOUN
brj-23067	61	2	.	.	PUNCT
brj-23067	62	1	2	2	X
brj-23067	62	2	.	.	X
brj-23067	62	3	sensor	sensor	NOUN
brj-23067	62	4	arrays	array	VERB
brj-23067	62	5	with	with	ADP
brj-23067	62	6	eight	eight	NUM
brj-23067	62	7	temperature	temperature	NOUN
brj-23067	62	8	measurements	measurement	NOUN
brj-23067	62	9	each	each	PRON
brj-23067	62	10	,	,	PUNCT
brj-23067	62	11	mounted	mount	VERB
brj-23067	62	12	along	along	ADP
brj-23067	62	13	the	the	DET
brj-23067	62	14	radius	radius	NOUN
brj-23067	62	15	and	and	CCONJ
brj-23067	62	16	between	between	ADP
brj-23067	62	17	refining	refining	NOUN
brj-23067	62	18	segments	segment	NOUN
brj-23067	62	19	in	in	ADP
brj-23067	62	20	a	a	DET
brj-23067	62	21	cd82	cd82	PROPN
brj-23067	62	22	-	-	PUNCT
brj-23067	62	23	refiner	refiner	NOUN
brj-23067	62	24	,	,	PUNCT
brj-23067	62	25	see	see	VERB
brj-23067	62	26	fig	fig	NOUN
brj-23067	62	27	.	.	PUNCT
brj-23067	63	1	1	1	X
brj-23067	63	2	.	.	X
brj-23067	63	3	(	(	PUNCT
brj-23067	63	4	a	a	X
brj-23067	63	5	)	)	PUNCT
brj-23067	63	6	(	(	PUNCT
brj-23067	63	7	b	b	NOUN
brj-23067	63	8	)	)	PUNCT
brj-23067	63	9	peer	peer	NOUN
brj-23067	63	10	-	-	PUNCT
brj-23067	63	11	reviewed	review	VERB
brj-23067	63	12	article	article	NOUN
brj-23067	63	13	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	63	14	karlström	karlström	PROPN
brj-23067	63	15	et	et	PROPN
brj-23067	63	16	al	al	PROPN
brj-23067	63	17	.	.	PROPN
brj-23067	64	1	(	(	PUNCT
brj-23067	64	2	2024	2024	NUM
brj-23067	64	3	)	)	PUNCT
brj-23067	64	4	.	.	PUNCT
brj-23067	65	1	“	"	PUNCT
brj-23067	65	2	soft	soft	ADJ
brj-23067	65	3	sensors	sensor	NOUN
brj-23067	65	4	in	in	ADP
brj-23067	65	5	refining	refining	NOUN
brj-23067	65	6	,	,	PUNCT
brj-23067	65	7	”	"	PUNCT
brj-23067	65	8	bioresources	bioresource	NOUN
brj-23067	65	9	19(1	19(1	NUM
brj-23067	65	10	)	)	PUNCT
brj-23067	65	11	,	,	PUNCT
brj-23067	65	12	1030	1030	NUM
brj-23067	65	13	-	-	SYM
brj-23067	65	14	1057	1057	NUM
brj-23067	65	15	.	.	PUNCT
brj-23067	66	1	1033	1033	NUM
brj-23067	66	2	it	it	PRON
brj-23067	66	3	is	be	AUX
brj-23067	66	4	a	a	DET
brj-23067	66	5	real	real	ADJ
brj-23067	66	6	challenge	challenge	NOUN
brj-23067	66	7	to	to	PART
brj-23067	66	8	describe	describe	VERB
brj-23067	66	9	the	the	DET
brj-23067	66	10	final	final	ADJ
brj-23067	66	11	pulp	pulp	NOUN
brj-23067	66	12	quality	quality	NOUN
brj-23067	66	13	(	(	PUNCT
brj-23067	66	14	ferritsius	ferritsius	NOUN
brj-23067	66	15	et	et	PROPN
brj-23067	66	16	al	al	PROPN
brj-23067	66	17	.	.	PROPN
brj-23067	66	18	2018	2018	NUM
brj-23067	66	19	;	;	PUNCT
brj-23067	66	20	ferritsius	ferritsius	NOUN
brj-23067	66	21	2021	2021	NUM
brj-23067	66	22	)	)	PUNCT
brj-23067	66	23	.	.	PUNCT
brj-23067	67	1	as	as	ADP
brj-23067	67	2	fig	fig	NOUN
brj-23067	67	3	.	.	PUNCT
brj-23067	67	4	2	2	NUM
brj-23067	67	5	shows	show	NOUN
brj-23067	67	6	,	,	PUNCT
brj-23067	67	7	the	the	DET
brj-23067	67	8	temperature	temperature	NOUN
brj-23067	67	9	profiles	profile	NOUN
brj-23067	67	10	were	be	AUX
brj-23067	67	11	measured	measure	VERB
brj-23067	67	12	using	use	VERB
brj-23067	67	13	sensor	sensor	NOUN
brj-23067	67	14	arrays	array	NOUN
brj-23067	67	15	mounted	mount	VERB
brj-23067	67	16	between	between	ADP
brj-23067	67	17	two	two	NUM
brj-23067	67	18	segments	segment	NOUN
brj-23067	67	19	in	in	ADP
brj-23067	67	20	each	each	DET
brj-23067	67	21	refining	refining	NOUN
brj-23067	67	22	zone	zone	NOUN
brj-23067	67	23	.	.	PUNCT
brj-23067	68	1	eight	eight	NUM
brj-23067	68	2	temperature	temperature	NOUN
brj-23067	68	3	sensors	sensor	NOUN
brj-23067	68	4	were	be	AUX
brj-23067	68	5	used	use	VERB
brj-23067	68	6	in	in	ADP
brj-23067	68	7	each	each	DET
brj-23067	68	8	zone	zone	NOUN
brj-23067	68	9	.	.	PUNCT
brj-23067	69	1	thereby	thereby	ADV
brj-23067	69	2	,	,	PUNCT
brj-23067	69	3	the	the	DET
brj-23067	69	4	temperature	temperature	NOUN
brj-23067	69	5	profile	profile	NOUN
brj-23067	69	6	can	can	AUX
brj-23067	69	7	be	be	AUX
brj-23067	69	8	seen	see	VERB
brj-23067	69	9	as	as	ADP
brj-23067	69	10	an	an	DET
brj-23067	69	11	internal	internal	ADJ
brj-23067	69	12	variable	variable	ADJ
brj-23067	69	13	vector	vector	NOUN
brj-23067	69	14	that	that	PRON
brj-23067	69	15	is	be	AUX
brj-23067	69	16	measured	measure	VERB
brj-23067	69	17	together	together	ADV
brj-23067	69	18	with	with	ADP
brj-23067	69	19	traditional	traditional	ADJ
brj-23067	69	20	process	process	NOUN
brj-23067	69	21	variables	variable	NOUN
brj-23067	69	22	(	(	PUNCT
brj-23067	69	23	external	external	ADJ
brj-23067	69	24	variables	variable	NOUN
brj-23067	69	25	)	)	PUNCT
brj-23067	69	26	such	such	ADJ
brj-23067	69	27	as	as	ADP
brj-23067	69	28	production	production	NOUN
brj-23067	69	29	rate	rate	NOUN
brj-23067	69	30	,	,	PUNCT
brj-23067	69	31	dilution	dilution	NOUN
brj-23067	69	32	water	water	NOUN
brj-23067	69	33	flows	flow	NOUN
brj-23067	69	34	,	,	PUNCT
brj-23067	69	35	motor	motor	NOUN
brj-23067	69	36	load	load	NOUN
brj-23067	69	37	,	,	PUNCT
brj-23067	69	38	and	and	CCONJ
brj-23067	69	39	distance	distance	NOUN
brj-23067	69	40	between	between	ADP
brj-23067	69	41	the	the	DET
brj-23067	69	42	refining	refining	NOUN
brj-23067	69	43	segments	segment	NOUN
brj-23067	69	44	.	.	PUNCT
brj-23067	70	1	through	through	ADP
brj-23067	70	2	using	use	VERB
brj-23067	70	3	the	the	DET
brj-23067	70	4	temperature	temperature	NOUN
brj-23067	70	5	profile	profile	NOUN
brj-23067	70	6	,	,	PUNCT
brj-23067	70	7	it	it	PRON
brj-23067	70	8	is	be	AUX
brj-23067	70	9	possible	possible	ADJ
brj-23067	70	10	to	to	PART
brj-23067	70	11	get	get	VERB
brj-23067	70	12	access	access	NOUN
brj-23067	70	13	to	to	ADP
brj-23067	70	14	other	other	ADJ
brj-23067	70	15	important	important	ADJ
brj-23067	70	16	internal	internal	ADJ
brj-23067	70	17	variables	variable	NOUN
brj-23067	70	18	utilizing	utilize	VERB
brj-23067	70	19	a	a	DET
brj-23067	70	20	non	non	ADJ
brj-23067	70	21	-	-	ADJ
brj-23067	70	22	linear	linear	ADJ
brj-23067	70	23	physical	physical	ADJ
brj-23067	70	24	model	model	NOUN
brj-23067	70	25	derived	derive	VERB
brj-23067	70	26	by	by	ADP
brj-23067	70	27	karlström	karlström	NOUN
brj-23067	70	28	and	and	CCONJ
brj-23067	70	29	eriksson	eriksson	PROPN
brj-23067	70	30	(	(	PUNCT
brj-23067	70	31	2014a	2014a	NUM
brj-23067	70	32	,	,	PUNCT
brj-23067	70	33	b	b	NOUN
brj-23067	70	34	,	,	PUNCT
brj-23067	70	35	c	c	NOUN
brj-23067	70	36	,	,	PUNCT
brj-23067	70	37	d	d	NOUN
brj-23067	70	38	)	)	PUNCT
brj-23067	70	39	.	.	PUNCT
brj-23067	71	1	this	this	DET
brj-23067	71	2	model	model	NOUN
brj-23067	71	3	opens	open	VERB
brj-23067	71	4	for	for	ADP
brj-23067	71	5	fast	fast	ADJ
brj-23067	71	6	dynamic	dynamic	ADJ
brj-23067	71	7	follow	follow	NOUN
brj-23067	71	8	-	-	PUNCT
brj-23067	71	9	up	up	NOUN
brj-23067	71	10	(	(	PUNCT
brj-23067	71	11	ranging	range	VERB
brj-23067	71	12	from	from	ADP
brj-23067	71	13	0.5	0.5	NUM
brj-23067	71	14	to	to	PART
brj-23067	71	15	1	1	NUM
brj-23067	71	16	s	s	NOUN
brj-23067	71	17	)	)	PUNCT
brj-23067	71	18	of	of	ADP
brj-23067	71	19	e.g.	e.g.	ADV
brj-23067	71	20	,	,	PUNCT
brj-23067	71	21	consistency	consistency	NOUN
brj-23067	71	22	profiles	profile	NOUN
brj-23067	71	23	(	(	PUNCT
brj-23067	71	24	karlström	karlström	NOUN
brj-23067	71	25	and	and	CCONJ
brj-23067	71	26	hill	hill	PROPN
brj-23067	71	27	2017a	2017a	NUM
brj-23067	71	28	,	,	PUNCT
brj-23067	71	29	b	b	NOUN
brj-23067	71	30	,	,	PUNCT
brj-23067	71	31	c	c	NOUN
brj-23067	71	32	)	)	PUNCT
brj-23067	71	33	.	.	PUNCT
brj-23067	72	1	in	in	ADP
brj-23067	72	2	fig	fig	NOUN
brj-23067	72	3	.	.	PUNCT
brj-23067	73	1	3	3	NUM
brj-23067	73	2	,	,	PUNCT
brj-23067	73	3	a	a	DET
brj-23067	73	4	snapshot	snapshot	NOUN
brj-23067	73	5	of	of	ADP
brj-23067	73	6	the	the	DET
brj-23067	73	7	consistency	consistency	NOUN
brj-23067	73	8	profile	profile	NOUN
brj-23067	73	9	is	be	AUX
brj-23067	73	10	given	give	VERB
brj-23067	73	11	.	.	PUNCT
brj-23067	74	1	it	it	PRON
brj-23067	74	2	is	be	AUX
brj-23067	74	3	essential	essential	ADJ
brj-23067	74	4	to	to	PART
brj-23067	74	5	control	control	VERB
brj-23067	74	6	the	the	DET
brj-23067	74	7	shape	shape	NOUN
brj-23067	74	8	of	of	ADP
brj-23067	74	9	the	the	DET
brj-23067	74	10	profile	profile	NOUN
brj-23067	74	11	by	by	ADP
brj-23067	74	12	manipulating	manipulate	VERB
brj-23067	74	13	the	the	DET
brj-23067	74	14	added	add	VERB
brj-23067	74	15	dilution	dilution	NOUN
brj-23067	74	16	water	water	NOUN
brj-23067	74	17	to	to	ADP
brj-23067	74	18	the	the	DET
brj-23067	74	19	refining	refining	NOUN
brj-23067	74	20	zones	zone	NOUN
brj-23067	74	21	.	.	PUNCT
brj-23067	75	1	thereby	thereby	ADV
brj-23067	75	2	,	,	PUNCT
brj-23067	75	3	the	the	DET
brj-23067	75	4	process	process	NOUN
brj-23067	75	5	inside	inside	ADP
brj-23067	75	6	the	the	DET
brj-23067	75	7	refining	refining	NOUN
brj-23067	75	8	zones	zone	NOUN
brj-23067	75	9	becomes	become	VERB
brj-23067	75	10	observable	observable	ADJ
brj-23067	75	11	and	and	CCONJ
brj-23067	75	12	controllable	controllable	ADJ
brj-23067	75	13	,	,	PUNCT
brj-23067	75	14	which	which	PRON
brj-23067	75	15	is	be	AUX
brj-23067	75	16	essential	essential	ADJ
brj-23067	75	17	when	when	SCONJ
brj-23067	75	18	controlling	control	VERB
brj-23067	75	19	both	both	CCONJ
brj-23067	75	20	the	the	DET
brj-23067	75	21	flat	flat	ADJ
brj-23067	75	22	zone	zone	NOUN
brj-23067	75	23	and	and	CCONJ
brj-23067	75	24	the	the	DET
brj-23067	75	25	conical	conical	NOUN
brj-23067	75	26	zone	zone	NOUN
brj-23067	75	27	simultaneously	simultaneously	ADV
brj-23067	75	28	(	(	PUNCT
brj-23067	75	29	karlström	karlström	NOUN
brj-23067	75	30	et	et	PROPN
brj-23067	75	31	al	al	PROPN
brj-23067	75	32	.	.	PROPN
brj-23067	75	33	2018b	2018b	NUM
brj-23067	75	34	)	)	PUNCT
brj-23067	75	35	.	.	PUNCT
brj-23067	76	1	fig	fig	NOUN
brj-23067	76	2	.	.	PUNCT
brj-23067	77	1	3	3	X
brj-23067	77	2	.	.	X
brj-23067	77	3	consistency	consistency	NOUN
brj-23067	77	4	profile	profile	NOUN
brj-23067	77	5	for	for	ADP
brj-23067	77	6	one	one	NUM
brj-23067	77	7	sample	sample	NOUN
brj-23067	77	8	.	.	PUNCT
brj-23067	78	1	the	the	DET
brj-23067	78	2	outlet	outlet	NOUN
brj-23067	78	3	consistency	consistency	NOUN
brj-23067	78	4	in	in	ADP
brj-23067	78	5	the	the	DET
brj-23067	78	6	blow	blow	NOUN
brj-23067	78	7	-	-	PUNCT
brj-23067	78	8	line	line	NOUN
brj-23067	78	9	(	(	PUNCT
brj-23067	78	10	last	last	ADJ
brj-23067	78	11	sample	sample	NOUN
brj-23067	78	12	)	)	PUNCT
brj-23067	78	13	has	have	AUX
brj-23067	78	14	been	be	AUX
brj-23067	78	15	included	include	VERB
brj-23067	78	16	.	.	PUNCT
brj-23067	79	1	note	note	VERB
brj-23067	79	2	that	that	SCONJ
brj-23067	79	3	the	the	DET
brj-23067	79	4	drastic	drastic	ADJ
brj-23067	79	5	change	change	NOUN
brj-23067	79	6	in	in	ADP
brj-23067	79	7	the	the	DET
brj-23067	79	8	conical	conical	NOUN
brj-23067	79	9	zone	zone	NOUN
brj-23067	79	10	is	be	AUX
brj-23067	79	11	a	a	DET
brj-23067	79	12	consequence	consequence	NOUN
brj-23067	79	13	of	of	ADP
brj-23067	79	14	the	the	DET
brj-23067	79	15	position	position	NOUN
brj-23067	79	16	at	at	ADP
brj-23067	79	17	which	which	PRON
brj-23067	79	18	the	the	DET
brj-23067	79	19	dilution	dilution	NOUN
brj-23067	79	20	water	water	NOUN
brj-23067	79	21	is	be	AUX
brj-23067	79	22	added	add	VERB
brj-23067	79	23	.	.	PUNCT
brj-23067	80	1	other	other	ADJ
brj-23067	80	2	important	important	ADJ
brj-23067	80	3	profiles	profile	NOUN
brj-23067	80	4	are	be	AUX
brj-23067	80	5	related	relate	VERB
brj-23067	80	6	to	to	ADP
brj-23067	80	7	the	the	DET
brj-23067	80	8	fiber	fiber	NOUN
brj-23067	80	9	shear	shear	NOUN
brj-23067	80	10	force	force	NOUN
brj-23067	80	11	,	,	PUNCT
brj-23067	80	12	steam	steam	NOUN
brj-23067	80	13	balance	balance	NOUN
brj-23067	80	14	,	,	PUNCT
brj-23067	80	15	and	and	CCONJ
brj-23067	80	16	the	the	DET
brj-23067	80	17	fiber	fiber	NOUN
brj-23067	80	18	residence	residence	NOUN
brj-23067	80	19	time	time	NOUN
brj-23067	80	20	in	in	ADP
brj-23067	80	21	fz	fz	NOUN
brj-23067	80	22	and	and	CCONJ
brj-23067	80	23	cd	cd	PROPN
brj-23067	80	24	,	,	PUNCT
brj-23067	80	25	which	which	PRON
brj-23067	80	26	affect	affect	VERB
brj-23067	80	27	the	the	DET
brj-23067	80	28	final	final	ADJ
brj-23067	80	29	pulp	pulp	NOUN
brj-23067	80	30	properties	property	NOUN
brj-23067	80	31	as	as	ADV
brj-23067	80	32	well	well	ADV
brj-23067	80	33	.	.	PUNCT
brj-23067	81	1	however	however	ADV
brj-23067	81	2	,	,	PUNCT
brj-23067	81	3	the	the	DET
brj-23067	81	4	pulp	pulp	NOUN
brj-23067	81	5	properties	property	NOUN
brj-23067	81	6	are	be	AUX
brj-23067	81	7	still	still	ADV
brj-23067	81	8	a	a	DET
brj-23067	81	9	challenge	challenge	NOUN
brj-23067	81	10	to	to	PART
brj-23067	81	11	derive	derive	VERB
brj-23067	81	12	only	only	ADV
brj-23067	81	13	by	by	ADP
brj-23067	81	14	using	use	VERB
brj-23067	81	15	physical	physical	ADJ
brj-23067	81	16	models	model	NOUN
brj-23067	81	17	,	,	PUNCT
brj-23067	81	18	which	which	PRON
brj-23067	81	19	calls	call	VERB
brj-23067	81	20	for	for	ADP
brj-23067	81	21	additional	additional	ADJ
brj-23067	81	22	efforts	effort	NOUN
brj-23067	81	23	such	such	ADJ
brj-23067	81	24	as	as	ADP
brj-23067	81	25	the	the	DET
brj-23067	81	26	use	use	NOUN
brj-23067	81	27	of	of	ADP
brj-23067	81	28	empirical	empirical	ADJ
brj-23067	81	29	models	model	NOUN
brj-23067	81	30	(	(	PUNCT
brj-23067	81	31	karlström	karlström	NOUN
brj-23067	81	32	et	et	PROPN
brj-23067	81	33	al	al	PROPN
brj-23067	81	34	.	.	PROPN
brj-23067	81	35	2022	2022	NUM
brj-23067	81	36	)	)	PUNCT
brj-23067	81	37	.	.	PUNCT
brj-23067	82	1	the	the	DET
brj-23067	82	2	non	non	ADJ
brj-23067	82	3	-	-	ADJ
brj-23067	82	4	linear	linear	ADJ
brj-23067	82	5	physical	physical	ADJ
brj-23067	82	6	model	model	NOUN
brj-23067	82	7	,	,	PUNCT
brj-23067	82	8	which	which	PRON
brj-23067	82	9	can	can	AUX
brj-23067	82	10	be	be	AUX
brj-23067	82	11	classified	classify	VERB
brj-23067	82	12	as	as	ADP
brj-23067	82	13	a	a	DET
brj-23067	82	14	model	model	NOUN
brj-23067	82	15	-	-	PUNCT
brj-23067	82	16	driven	drive	VERB
brj-23067	82	17	soft	soft	ADJ
brj-23067	82	18	sensor	sensor	NOUN
brj-23067	82	19	,	,	PUNCT
brj-23067	82	20	is	be	AUX
brj-23067	82	21	preferably	preferably	ADV
brj-23067	82	22	combined	combine	VERB
brj-23067	82	23	with	with	ADP
brj-23067	82	24	empirical	empirical	ADJ
brj-23067	82	25	models	model	NOUN
brj-23067	82	26	.	.	PUNCT
brj-23067	83	1	these	these	DET
brj-23067	83	2	models	model	NOUN
brj-23067	83	3	are	be	AUX
brj-23067	83	4	often	often	ADV
brj-23067	83	5	classified	classify	VERB
brj-23067	83	6	as	as	ADP
brj-23067	83	7	data	data	NOUN
brj-23067	83	8	-	-	PUNCT
brj-23067	83	9	driven	drive	VERB
brj-23067	83	10	soft	soft	ADJ
brj-23067	83	11	sensors	sensor	NOUN
brj-23067	83	12	according	accord	VERB
brj-23067	83	13	to	to	ADP
brj-23067	83	14	the	the	DET
brj-23067	83	15	grey	grey	ADJ
brj-23067	83	16	-	-	PUNCT
brj-23067	83	17	box	box	NOUN
brj-23067	83	18	terminology	terminology	NOUN
brj-23067	83	19	presented	present	VERB
brj-23067	83	20	by	by	ADP
brj-23067	83	21	bohlin	bohlin	PROPN
brj-23067	83	22	(	(	PUNCT
brj-23067	83	23	2006	2006	NUM
brj-23067	83	24	)	)	PUNCT
brj-23067	83	25	,	,	PUNCT
brj-23067	83	26	as	as	SCONJ
brj-23067	83	27	shown	show	VERB
brj-23067	83	28	in	in	ADP
brj-23067	83	29	fig	fig	NOUN
brj-23067	83	30	.	.	PUNCT
brj-23067	84	1	4	4	X
brj-23067	84	2	.	.	X
brj-23067	85	1	the	the	DET
brj-23067	85	2	output	output	NOUN
brj-23067	85	3	data	datum	NOUN
brj-23067	85	4	of	of	ADP
brj-23067	85	5	interest	interest	NOUN
brj-23067	85	6	in	in	ADP
brj-23067	85	7	this	this	DET
brj-23067	85	8	article	article	NOUN
brj-23067	85	9	is	be	AUX
brj-23067	85	10	,	,	PUNCT
brj-23067	85	11	�	�	PROPN
brj-23067	85	12	̂	̂	NOUN
brj-23067	85	13	�	�	NOUN
brj-23067	85	14	=	=	SYM
brj-23067	86	1	[	[	X
brj-23067	86	2	�	�	NOUN
brj-23067	86	3	̂	̂	SYM
brj-23067	86	4	�	�	NOUN
brj-23067	86	5	internal	internal	ADJ
brj-23067	86	6	,	,	PUNCT
brj-23067	86	7	�	�	PROPN
brj-23067	86	8	̂	̂	NOUN
brj-23067	86	9	�	�	NOUN
brj-23067	86	10	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	PROPN
brj-23067	86	11	]	]	PUNCT
brj-23067	86	12	(	(	PUNCT
brj-23067	86	13	1	1	X
brj-23067	86	14	)	)	PUNCT
brj-23067	86	15	peer	peer	NOUN
brj-23067	86	16	-	-	PUNCT
brj-23067	86	17	reviewed	review	VERB
brj-23067	86	18	article	article	NOUN
brj-23067	86	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	86	20	karlström	karlström	PROPN
brj-23067	86	21	et	et	PROPN
brj-23067	86	22	al	al	PROPN
brj-23067	86	23	.	.	PROPN
brj-23067	87	1	(	(	PUNCT
brj-23067	87	2	2024	2024	NUM
brj-23067	87	3	)	)	PUNCT
brj-23067	87	4	.	.	PUNCT
brj-23067	88	1	“	"	PUNCT
brj-23067	88	2	soft	soft	ADJ
brj-23067	88	3	sensors	sensor	NOUN
brj-23067	88	4	in	in	ADP
brj-23067	88	5	refining	refining	NOUN
brj-23067	88	6	,	,	PUNCT
brj-23067	88	7	”	"	PUNCT
brj-23067	88	8	bioresources	bioresource	NOUN
brj-23067	88	9	19(1	19(1	NUM
brj-23067	88	10	)	)	PUNCT
brj-23067	88	11	,	,	PUNCT
brj-23067	88	12	1030	1030	NUM
brj-23067	88	13	-	-	SYM
brj-23067	88	14	1057	1057	NUM
brj-23067	88	15	.	.	PUNCT
brj-23067	88	16	1034	1034	NUM
brj-23067	88	17	where	where	SCONJ
brj-23067	88	18	the	the	DET
brj-23067	88	19	internal	internal	ADJ
brj-23067	88	20	variables	variable	NOUN
brj-23067	88	21	can	can	AUX
brj-23067	88	22	be	be	AUX
brj-23067	88	23	derived	derive	VERB
brj-23067	88	24	from	from	ADP
brj-23067	88	25	the	the	DET
brj-23067	88	26	model	model	NOUN
brj-23067	88	27	-	-	PUNCT
brj-23067	88	28	driven	drive	VERB
brj-23067	88	29	soft	soft	ADJ
brj-23067	88	30	sensor	sensor	NOUN
brj-23067	88	31	,	,	PUNCT
brj-23067	88	32	�	�	PROPN
brj-23067	88	33	̂	̂	NOUN
brj-23067	88	34	�	�	NOUN
brj-23067	88	35	internal	internal	ADJ
brj-23067	88	36	=	=	SYM
brj-23067	88	37	�	�	PROPN
brj-23067	88	38	̂	̂	NOUN
brj-23067	88	39	�	�	PROPN
brj-23067	88	40	,	,	PUNCT
brj-23067	88	41	while	while	SCONJ
brj-23067	88	42	�	�	PROPN
brj-23067	88	43	̂	̂	SYM
brj-23067	88	44	�	�	NOUN
brj-23067	88	45	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	NOUN
brj-23067	88	46	comes	come	VERB
brj-23067	88	47	from	from	ADP
brj-23067	88	48	the	the	DET
brj-23067	88	49	data	data	NOUN
brj-23067	88	50	-	-	PUNCT
brj-23067	88	51	driven	drive	VERB
brj-23067	88	52	soft	soft	ADJ
brj-23067	88	53	sensor	sensor	NOUN
brj-23067	88	54	(	(	PUNCT
brj-23067	88	55	karlström	karlström	NOUN
brj-23067	88	56	et	et	PROPN
brj-23067	88	57	al	al	PROPN
brj-23067	88	58	.	.	PROPN
brj-23067	88	59	2022	2022	NUM
brj-23067	88	60	)	)	PUNCT
brj-23067	88	61	.	.	PUNCT
brj-23067	89	1	fig	fig	NOUN
brj-23067	89	2	.	.	PUNCT
brj-23067	90	1	4	4	X
brj-23067	90	2	.	.	X
brj-23067	90	3	the	the	DET
brj-23067	90	4	concept	concept	NOUN
brj-23067	90	5	includes	include	VERB
brj-23067	90	6	a	a	DET
brj-23067	90	7	non	non	ADJ
brj-23067	90	8	-	-	ADJ
brj-23067	90	9	linear	linear	ADJ
brj-23067	90	10	model	model	NOUN
brj-23067	90	11	based	base	VERB
brj-23067	90	12	on	on	ADP
brj-23067	90	13	first	first	ADJ
brj-23067	90	14	principles	principle	NOUN
brj-23067	90	15	(	(	PUNCT
brj-23067	90	16	model	model	NOUN
brj-23067	90	17	-	-	PUNCT
brj-23067	90	18	driven	drive	VERB
brj-23067	90	19	soft	soft	ADJ
brj-23067	90	20	sensor	sensor	NOUN
brj-23067	90	21	)	)	PUNCT
brj-23067	90	22	and	and	CCONJ
brj-23067	90	23	the	the	DET
brj-23067	90	24	data	data	NOUN
brj-23067	90	25	-	-	PUNCT
brj-23067	90	26	driven	drive	VERB
brj-23067	90	27	soft	soft	ADJ
brj-23067	90	28	sensor	sensor	NOUN
brj-23067	90	29	,	,	PUNCT
brj-23067	90	30	which	which	PRON
brj-23067	90	31	can	can	AUX
brj-23067	90	32	be	be	AUX
brj-23067	90	33	e.g.	e.g.	ADV
brj-23067	90	34	pulp	pulp	NOUN
brj-23067	90	35	and	and	CCONJ
brj-23067	90	36	handsheet	handsheet	ADJ
brj-23067	90	37	models	model	NOUN
brj-23067	90	38	.	.	PUNCT
brj-23067	91	1	the	the	DET
brj-23067	91	2	idea	idea	NOUN
brj-23067	91	3	is	be	AUX
brj-23067	91	4	to	to	PART
brj-23067	91	5	use	use	VERB
brj-23067	91	6	the	the	DET
brj-23067	91	7	outputs	output	NOUN
brj-23067	91	8	for	for	ADP
brj-23067	91	9	control	control	NOUN
brj-23067	91	10	purposes	purpose	NOUN
brj-23067	91	11	in	in	ADP
brj-23067	91	12	tctrl	tctrl	NOUN
brj-23067	91	13	:	:	PUNCT
brj-23067	91	14	temperature	temperature	NOUN
brj-23067	91	15	control	control	NOUN
brj-23067	91	16	,	,	PUNCT
brj-23067	91	17	cctrl	cctrl	PROPN
brj-23067	91	18	:	:	PUNCT
brj-23067	91	19	consistency	consistency	NOUN
brj-23067	91	20	control	control	NOUN
brj-23067	91	21	,	,	PUNCT
brj-23067	91	22	ectrl	ectrl	NOUN
brj-23067	91	23	:	:	PUNCT
brj-23067	91	24	specific	specific	ADJ
brj-23067	91	25	energy	energy	NOUN
brj-23067	91	26	control	control	NOUN
brj-23067	91	27	and	and	CCONJ
brj-23067	91	28	qctrl	qctrl	VERB
brj-23067	91	29	:	:	PUNCT
brj-23067	91	30	quality	quality	NOUN
brj-23067	91	31	control	control	NOUN
brj-23067	91	32	.	.	PUNCT
brj-23067	92	1	ann	ann	PROPN
brj-23067	92	2	models	model	NOUN
brj-23067	92	3	in	in	ADP
brj-23067	92	4	this	this	DET
brj-23067	92	5	paper	paper	NOUN
brj-23067	92	6	,	,	PUNCT
brj-23067	92	7	the	the	DET
brj-23067	92	8	matlab	matlab	PROPN
brj-23067	92	9	neural	neural	ADJ
brj-23067	92	10	network	network	NOUN
brj-23067	92	11	toolbox	toolbox	NOUN
brj-23067	92	12	is	be	AUX
brj-23067	92	13	referenced	reference	VERB
brj-23067	92	14	for	for	ADP
brj-23067	92	15	basic	basic	ADJ
brj-23067	92	16	information	information	NOUN
brj-23067	92	17	about	about	ADP
brj-23067	92	18	the	the	DET
brj-23067	92	19	ann	ann	PROPN
brj-23067	92	20	concept	concept	NOUN
brj-23067	92	21	.	.	PUNCT
brj-23067	93	1	the	the	DET
brj-23067	93	2	overview	overview	NOUN
brj-23067	93	3	is	be	AUX
brj-23067	93	4	written	write	VERB
brj-23067	93	5	by	by	ADP
brj-23067	93	6	demuth	demuth	NOUN
brj-23067	93	7	and	and	CCONJ
brj-23067	93	8	beale	beale	NOUN
brj-23067	93	9	(	(	PUNCT
brj-23067	93	10	2004	2004	NUM
brj-23067	93	11	)	)	PUNCT
brj-23067	93	12	and	and	CCONJ
brj-23067	93	13	describes	describe	VERB
brj-23067	93	14	how	how	SCONJ
brj-23067	93	15	the	the	DET
brj-23067	93	16	ann	ann	PROPN
brj-23067	93	17	can	can	AUX
brj-23067	93	18	be	be	AUX
brj-23067	93	19	trained	train	VERB
brj-23067	93	20	with	with	ADP
brj-23067	93	21	a	a	DET
brj-23067	93	22	backpropagation	backpropagation	NOUN
brj-23067	93	23	algorithm	algorithm	NOUN
brj-23067	93	24	based	base	VERB
brj-23067	93	25	on	on	ADP
brj-23067	93	26	the	the	DET
brj-23067	93	27	levenberg	levenberg	PROPN
brj-23067	93	28	-	-	PUNCT
brj-23067	93	29	marquardt	marquardt	PROPN
brj-23067	93	30	algorithm	algorithm	PROPN
brj-23067	93	31	(	(	PUNCT
brj-23067	93	32	levenberg	levenberg	PROPN
brj-23067	93	33	1944	1944	NUM
brj-23067	93	34	;	;	PUNCT
brj-23067	93	35	marquardt	marquardt	PROPN
brj-23067	93	36	1963	1963	NUM
brj-23067	93	37	)	)	PUNCT
brj-23067	93	38	.	.	PUNCT
brj-23067	94	1	as	as	ADP
brj-23067	94	2	such	such	ADJ
brj-23067	94	3	,	,	PUNCT
brj-23067	94	4	the	the	DET
brj-23067	94	5	network	network	NOUN
brj-23067	94	6	has	have	VERB
brj-23067	94	7	a	a	DET
brj-23067	94	8	good	good	ADJ
brj-23067	94	9	characteristic	characteristic	NOUN
brj-23067	94	10	for	for	ADP
brj-23067	94	11	solving	solve	VERB
brj-23067	94	12	non	non	ADJ
brj-23067	94	13	-	-	ADJ
brj-23067	94	14	linear	linear	ADJ
brj-23067	94	15	multi	multi	ADJ
brj-23067	94	16	-	-	ADJ
brj-23067	94	17	dimensional	dimensional	ADJ
brj-23067	94	18	mapping	mapping	NOUN
brj-23067	94	19	problems	problem	NOUN
brj-23067	94	20	,	,	PUNCT
brj-23067	94	21	given	give	VERB
brj-23067	94	22	consistent	consistent	ADJ
brj-23067	94	23	data	datum	NOUN
brj-23067	94	24	and	and	CCONJ
brj-23067	94	25	enough	enough	ADJ
brj-23067	94	26	neurons	neuron	NOUN
brj-23067	94	27	in	in	ADP
brj-23067	94	28	its	its	PRON
brj-23067	94	29	hidden	hidden	ADJ
brj-23067	94	30	layer	layer	NOUN
brj-23067	94	31	(	(	PUNCT
brj-23067	94	32	hagan	hagan	NOUN
brj-23067	94	33	and	and	CCONJ
brj-23067	94	34	menhaj	menhaj	PROPN
brj-23067	94	35	1994	1994	NUM
brj-23067	94	36	;	;	PUNCT
brj-23067	94	37	björck	björck	NOUN
brj-23067	94	38	1996	1996	NUM
brj-23067	94	39	;	;	PUNCT
brj-23067	94	40	kermani	kermani	NOUN
brj-23067	94	41	et	et	PROPN
brj-23067	94	42	al	al	PROPN
brj-23067	94	43	.	.	PROPN
brj-23067	94	44	2005	2005	NUM
brj-23067	94	45	;	;	PUNCT
brj-23067	94	46	rajesh	rajesh	PROPN
brj-23067	94	47	and	and	CCONJ
brj-23067	94	48	ray	ray	NOUN
brj-23067	94	49	2006	2006	NUM
brj-23067	94	50	)	)	PUNCT
brj-23067	94	51	.	.	PUNCT
brj-23067	95	1	the	the	DET
brj-23067	95	2	hidden	hide	VERB
brj-23067	95	3	layers	layer	NOUN
brj-23067	95	4	in	in	ADP
brj-23067	95	5	the	the	DET
brj-23067	95	6	authors	author	NOUN
brj-23067	95	7	’	'	PUNCT
brj-23067	95	8	ann	ann	PROPN
brj-23067	95	9	were	be	AUX
brj-23067	95	10	based	base	VERB
brj-23067	95	11	on	on	ADP
brj-23067	95	12	a	a	DET
brj-23067	95	13	hyperbolic	hyperbolic	ADJ
brj-23067	95	14	tangent	tangent	NOUN
brj-23067	95	15	sigmoid	sigmoid	NOUN
brj-23067	95	16	transfer	transfer	NOUN
brj-23067	95	17	function	function	NOUN
brj-23067	95	18	.	.	PUNCT
brj-23067	96	1	to	to	PART
brj-23067	96	2	prevent	prevent	VERB
brj-23067	96	3	overfitting	overfitting	NOUN
brj-23067	96	4	,	,	PUNCT
brj-23067	96	5	five	five	NUM
brj-23067	96	6	layers	layer	NOUN
brj-23067	96	7	were	be	AUX
brj-23067	96	8	used	use	VERB
brj-23067	96	9	as	as	ADP
brj-23067	96	10	an	an	DET
brj-23067	96	11	initial	initial	ADJ
brj-23067	96	12	setting	setting	NOUN
brj-23067	96	13	,	,	PUNCT
brj-23067	96	14	although	although	SCONJ
brj-23067	96	15	it	it	PRON
brj-23067	96	16	is	be	AUX
brj-23067	96	17	possible	possible	ADJ
brj-23067	96	18	to	to	PART
brj-23067	96	19	expand	expand	VERB
brj-23067	96	20	the	the	DET
brj-23067	96	21	size	size	NOUN
brj-23067	96	22	dependent	dependent	ADJ
brj-23067	96	23	on	on	ADP
brj-23067	96	24	the	the	DET
brj-23067	96	25	size	size	NOUN
brj-23067	96	26	of	of	ADP
brj-23067	96	27	the	the	DET
brj-23067	96	28	input	input	NOUN
brj-23067	96	29	matrix	matrix	NOUN
brj-23067	96	30	.	.	PUNCT
brj-23067	97	1	the	the	DET
brj-23067	97	2	hidden	hidden	ADJ
brj-23067	97	3	neurons	neuron	NOUN
brj-23067	97	4	for	for	ADP
brj-23067	97	5	each	each	DET
brj-23067	97	6	layer	layer	NOUN
brj-23067	97	7	was	be	AUX
brj-23067	97	8	set	set	VERB
brj-23067	97	9	to	to	ADP
brj-23067	97	10	ten	ten	NUM
brj-23067	97	11	according	accord	VERB
brj-23067	97	12	to	to	ADP
brj-23067	97	13	the	the	DET
brj-23067	97	14	matlab	matlab	PROPN
brj-23067	97	15	default	default	NOUN
brj-23067	97	16	setting	setting	NOUN
brj-23067	97	17	.	.	PUNCT
brj-23067	98	1	in	in	ADP
brj-23067	98	2	this	this	DET
brj-23067	98	3	paper	paper	NOUN
brj-23067	98	4	,	,	PUNCT
brj-23067	98	5	the	the	DET
brj-23067	98	6	focus	focus	NOUN
brj-23067	98	7	will	will	AUX
brj-23067	98	8	not	not	PART
brj-23067	98	9	be	be	AUX
brj-23067	98	10	on	on	ADP
brj-23067	98	11	the	the	DET
brj-23067	98	12	ann	ann	PROPN
brj-23067	98	13	-	-	PUNCT
brj-23067	98	14	methodology	methodology	NOUN
brj-23067	98	15	.	.	PUNCT
brj-23067	99	1	instead	instead	ADV
brj-23067	99	2	,	,	PUNCT
brj-23067	99	3	the	the	DET
brj-23067	99	4	levenberg	levenberg	PROPN
brj-23067	99	5	-	-	PUNCT
brj-23067	99	6	marquardt	marquardt	PROPN
brj-23067	99	7	algorithm	algorithm	PROPN
brj-23067	99	8	is	be	AUX
brj-23067	99	9	used	use	VERB
brj-23067	99	10	for	for	ADP
brj-23067	99	11	all	all	DET
brj-23067	99	12	cases	case	NOUN
brj-23067	99	13	as	as	SCONJ
brj-23067	99	14	it	it	PRON
brj-23067	99	15	is	be	AUX
brj-23067	99	16	fast	fast	ADJ
brj-23067	99	17	and	and	CCONJ
brj-23067	99	18	robust	robust	ADJ
brj-23067	99	19	when	when	SCONJ
brj-23067	99	20	it	it	PRON
brj-23067	99	21	comes	come	VERB
brj-23067	99	22	to	to	ADP
brj-23067	99	23	the	the	DET
brj-23067	99	24	non	non	ADJ
brj-23067	99	25	-	-	ADJ
brj-23067	99	26	linear	linear	ADJ
brj-23067	99	27	least	least	ADJ
brj-23067	99	28	squares	square	NOUN
brj-23067	99	29	curve	curve	NOUN
brj-23067	99	30	-	-	PUNCT
brj-23067	99	31	fitting	fitting	ADJ
brj-23067	99	32	(	(	PUNCT
brj-23067	99	33	gavin	gavin	PROPN
brj-23067	99	34	2020	2020	NUM
brj-23067	99	35	)	)	PUNCT
brj-23067	99	36	.	.	PUNCT
brj-23067	100	1	input	input	NOUN
brj-23067	100	2	candidates	candidate	NOUN
brj-23067	100	3	to	to	ADP
brj-23067	100	4	the	the	DET
brj-23067	100	5	data	data	NOUN
brj-23067	100	6	-	-	PUNCT
brj-23067	100	7	driven	drive	VERB
brj-23067	100	8	soft	soft	ADJ
brj-23067	100	9	sensor	sensor	NOUN
brj-23067	100	10	as	as	SCONJ
brj-23067	100	11	indicated	indicate	VERB
brj-23067	100	12	in	in	ADP
brj-23067	100	13	fig	fig	NOUN
brj-23067	100	14	4	4	NUM
brj-23067	100	15	,	,	PUNCT
brj-23067	100	16	the	the	DET
brj-23067	100	17	model	model	NOUN
brj-23067	100	18	-	-	PUNCT
brj-23067	100	19	driven	drive	VERB
brj-23067	100	20	soft	soft	ADJ
brj-23067	100	21	sensor	sensor	NOUN
brj-23067	100	22	provides	provide	VERB
brj-23067	100	23	several	several	ADJ
brj-23067	100	24	candidates	candidate	NOUN
brj-23067	100	25	that	that	PRON
brj-23067	100	26	can	can	AUX
brj-23067	100	27	be	be	AUX
brj-23067	100	28	used	use	VERB
brj-23067	100	29	as	as	ADP
brj-23067	100	30	additional	additional	ADJ
brj-23067	100	31	inputs	input	NOUN
brj-23067	100	32	to	to	ADP
brj-23067	100	33	a	a	DET
brj-23067	100	34	data	data	NOUN
brj-23067	100	35	-	-	PUNCT
brj-23067	100	36	driven	drive	VERB
brj-23067	100	37	soft	soft	ADJ
brj-23067	100	38	sensor	sensor	NOUN
brj-23067	100	39	.	.	PUNCT
brj-23067	101	1	examples	example	NOUN
brj-23067	101	2	,	,	PUNCT
brj-23067	101	3	such	such	ADJ
brj-23067	101	4	as	as	ADP
brj-23067	101	5	temperature	temperature	NOUN
brj-23067	101	6	profiles	profile	NOUN
brj-23067	101	7	(	(	PUNCT
brj-23067	101	8	>	>	X
brj-23067	101	9	20	20	NUM
brj-23067	101	10	variables	variable	NOUN
brj-23067	101	11	)	)	PUNCT
brj-23067	101	12	;	;	PUNCT
brj-23067	101	13	consistency	consistency	NOUN
brj-23067	101	14	profiles	profile	NOUN
brj-23067	101	15	(	(	PUNCT
brj-23067	101	16	>	>	X
brj-23067	101	17	20	20	NUM
brj-23067	101	18	variables	variable	NOUN
brj-23067	101	19	)	)	PUNCT
brj-23067	101	20	;	;	PUNCT
brj-23067	101	21	backward	backward	ADJ
brj-23067	101	22	and	and	CCONJ
brj-23067	101	23	forward	forward	ADV
brj-23067	101	24	flowing	flow	VERB
brj-23067	101	25	steam	steam	NOUN
brj-23067	101	26	(	(	PUNCT
brj-23067	101	27	>	>	SYM
brj-23067	101	28	20	20	NUM
brj-23067	101	29	variables	variable	NOUN
brj-23067	101	30	)	)	PUNCT
brj-23067	101	31	;	;	PUNCT
brj-23067	101	32	water	water	NOUN
brj-23067	101	33	content	content	NOUN
brj-23067	101	34	profiles	profile	NOUN
brj-23067	101	35	(	(	PUNCT
brj-23067	101	36	>	>	X
brj-23067	101	37	20	20	NUM
brj-23067	101	38	variables	variable	NOUN
brj-23067	101	39	)	)	PUNCT
brj-23067	101	40	;	;	PUNCT
brj-23067	101	41	forces	force	NOUN
brj-23067	101	42	on	on	ADP
brj-23067	101	43	bars	bar	NOUN
brj-23067	101	44	(	(	PUNCT
brj-23067	101	45	>	>	X
brj-23067	101	46	20	20	NUM
brj-23067	101	47	variables	variable	NOUN
brj-23067	101	48	)	)	PUNCT
brj-23067	101	49	;	;	PUNCT
brj-23067	101	50	and	and	CCONJ
brj-23067	101	51	defibration	defibration	NOUN
brj-23067	101	52	and	and	CCONJ
brj-23067	101	53	thermodynamical	thermodynamical	ADJ
brj-23067	101	54	work	work	NOUN
brj-23067	101	55	in	in	ADP
brj-23067	101	56	each	each	DET
brj-23067	101	57	refining	refining	NOUN
brj-23067	101	58	zone	zone	NOUN
brj-23067	101	59	(	(	PUNCT
brj-23067	101	60	>	>	X
brj-23067	101	61	4	4	NUM
brj-23067	101	62	variables	variable	NOUN
brj-23067	101	63	)	)	PUNCT
brj-23067	101	64	,	,	PUNCT
brj-23067	101	65	are	be	AUX
brj-23067	101	66	just	just	ADV
brj-23067	101	67	a	a	DET
brj-23067	101	68	few	few	ADJ
brj-23067	101	69	internal	internal	ADJ
brj-23067	101	70	input	input	NOUN
brj-23067	101	71	candidates	candidate	NOUN
brj-23067	101	72	.	.	PUNCT
brj-23067	102	1	in	in	ADP
brj-23067	102	2	this	this	DET
brj-23067	102	3	paper	paper	NOUN
brj-23067	102	4	,	,	PUNCT
brj-23067	102	5	the	the	DET
brj-23067	102	6	internal	internal	ADJ
brj-23067	102	7	variables	variable	NOUN
brj-23067	102	8	were	be	AUX
brj-23067	102	9	represented	represent	VERB
brj-23067	102	10	by	by	ADP
brj-23067	102	11	the	the	DET
brj-23067	102	12	matrix	matrix	NOUN
brj-23067	102	13	�	�	PROPN
brj-23067	102	14	̂	̂	VERB
brj-23067	102	15	�	�	PROPN
brj-23067	102	16	in	in	ADP
brj-23067	102	17	fig	fig	NOUN
brj-23067	102	18	.	.	PUNCT
brj-23067	103	1	4	4	X
brj-23067	103	2	.	.	X
brj-23067	103	3	for	for	ADP
brj-23067	103	4	a	a	DET
brj-23067	103	5	more	more	ADV
brj-23067	103	6	comprehensive	comprehensive	ADJ
brj-23067	103	7	overview	overview	NOUN
brj-23067	103	8	of	of	ADP
brj-23067	103	9	other	other	ADJ
brj-23067	103	10	possible	possible	ADJ
brj-23067	103	11	candidates	candidate	NOUN
brj-23067	103	12	,	,	PUNCT
brj-23067	103	13	see	see	VERB
brj-23067	103	14	karlström	karlström	NOUN
brj-23067	103	15	and	and	CCONJ
brj-23067	103	16	eriksson	eriksson	PROPN
brj-23067	103	17	(	(	PUNCT
brj-23067	103	18	2014a	2014a	NUM
brj-23067	103	19	,	,	PUNCT
brj-23067	103	20	b	b	NOUN
brj-23067	103	21	,	,	PUNCT
brj-23067	103	22	c	c	NOUN
brj-23067	103	23	,	,	PUNCT
brj-23067	103	24	d	d	NOUN
brj-23067	103	25	)	)	PUNCT
brj-23067	103	26	.	.	PUNCT
brj-23067	104	1	note	note	VERB
brj-23067	104	2	that	that	SCONJ
brj-23067	104	3	peer	peer	NOUN
brj-23067	104	4	-	-	PUNCT
brj-23067	104	5	reviewed	review	VERB
brj-23067	104	6	article	article	NOUN
brj-23067	104	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	104	8	karlström	karlström	PROPN
brj-23067	104	9	et	et	PROPN
brj-23067	104	10	al	al	PROPN
brj-23067	104	11	.	.	PROPN
brj-23067	105	1	(	(	PUNCT
brj-23067	105	2	2024	2024	NUM
brj-23067	105	3	)	)	PUNCT
brj-23067	105	4	.	.	PUNCT
brj-23067	106	1	“	"	PUNCT
brj-23067	106	2	soft	soft	ADJ
brj-23067	106	3	sensors	sensor	NOUN
brj-23067	106	4	in	in	ADP
brj-23067	106	5	refining	refining	NOUN
brj-23067	106	6	,	,	PUNCT
brj-23067	106	7	”	"	PUNCT
brj-23067	106	8	bioresources	bioresource	NOUN
brj-23067	106	9	19(1	19(1	NUM
brj-23067	106	10	)	)	PUNCT
brj-23067	106	11	,	,	PUNCT
brj-23067	106	12	1030	1030	NUM
brj-23067	106	13	-	-	SYM
brj-23067	106	14	1057	1057	NUM
brj-23067	106	15	.	.	PUNCT
brj-23067	107	1	1035	1035	NUM
brj-23067	107	2	the	the	DET
brj-23067	107	3	reason	reason	NOUN
brj-23067	107	4	for	for	ADP
brj-23067	107	5	using	use	VERB
brj-23067	107	6	both	both	CCONJ
brj-23067	107	7	consistency	consistency	NOUN
brj-23067	107	8	and	and	CCONJ
brj-23067	107	9	steam	steam	NOUN
brj-23067	107	10	as	as	ADP
brj-23067	107	11	inputs	input	NOUN
brj-23067	107	12	is	be	AUX
brj-23067	107	13	a	a	DET
brj-23067	107	14	consequence	consequence	NOUN
brj-23067	107	15	of	of	ADP
brj-23067	107	16	the	the	DET
brj-23067	107	17	fact	fact	NOUN
brj-23067	107	18	that	that	SCONJ
brj-23067	107	19	there	there	PRON
brj-23067	107	20	were	be	VERB
brj-23067	107	21	both	both	ADV
brj-23067	107	22	backward	backward	ADJ
brj-23067	107	23	and	and	CCONJ
brj-23067	107	24	forward	forward	ADV
brj-23067	107	25	flowing	flow	VERB
brj-23067	107	26	steam	steam	NOUN
brj-23067	107	27	in	in	ADP
brj-23067	107	28	the	the	DET
brj-23067	107	29	refining	refining	NOUN
brj-23067	107	30	zone	zone	NOUN
brj-23067	107	31	.	.	PUNCT
brj-23067	108	1	it	it	PRON
brj-23067	108	2	is	be	AUX
brj-23067	108	3	also	also	ADV
brj-23067	108	4	natural	natural	ADJ
brj-23067	108	5	to	to	PART
brj-23067	108	6	combine	combine	VERB
brj-23067	108	7	such	such	ADJ
brj-23067	108	8	inputs	input	NOUN
brj-23067	108	9	with	with	ADP
brj-23067	108	10	traditional	traditional	ADJ
brj-23067	108	11	external	external	ADJ
brj-23067	108	12	variables	variable	NOUN
brj-23067	108	13	like	like	ADP
brj-23067	108	14	specific	specific	ADJ
brj-23067	108	15	energy	energy	NOUN
brj-23067	108	16	,	,	PUNCT
brj-23067	108	17	dilution	dilution	NOUN
brj-23067	108	18	water	water	NOUN
brj-23067	108	19	added	add	VERB
brj-23067	108	20	to	to	ADP
brj-23067	108	21	fz	fz	NOUN
brj-23067	108	22	and	and	CCONJ
brj-23067	108	23	cd	cd	PROPN
brj-23067	108	24	,	,	PUNCT
brj-23067	108	25	as	as	ADV
brj-23067	108	26	well	well	ADV
brj-23067	108	27	as	as	ADP
brj-23067	108	28	the	the	DET
brj-23067	108	29	distance	distance	NOUN
brj-23067	108	30	between	between	ADP
brj-23067	108	31	the	the	DET
brj-23067	108	32	segments	segment	NOUN
brj-23067	108	33	(	(	PUNCT
brj-23067	108	34	also	also	ADV
brj-23067	108	35	called	call	VERB
brj-23067	108	36	plate	plate	NOUN
brj-23067	108	37	gaps	gap	NOUN
brj-23067	108	38	)	)	PUNCT
brj-23067	108	39	,	,	PUNCT
brj-23067	108	40	as	as	SCONJ
brj-23067	108	41	visualized	visualize	VERB
brj-23067	108	42	in	in	ADP
brj-23067	108	43	fig	fig	NOUN
brj-23067	108	44	.	.	PUNCT
brj-23067	109	1	1	1	X
brj-23067	109	2	.	.	PUNCT
brj-23067	109	3	the	the	DET
brj-23067	109	4	external	external	ADJ
brj-23067	109	5	input	input	NOUN
brj-23067	109	6	candidates	candidate	NOUN
brj-23067	109	7	are	be	AUX
brj-23067	109	8	quite	quite	ADV
brj-23067	109	9	reliable	reliable	ADJ
brj-23067	109	10	as	as	ADP
brj-23067	109	11	measures	measure	NOUN
brj-23067	109	12	and	and	CCONJ
brj-23067	109	13	constitute	constitute	VERB
brj-23067	109	14	the	the	DET
brj-23067	109	15	matrix	matrix	NOUN
brj-23067	109	16	xext	xext	NOUN
brj-23067	109	17	,	,	PUNCT
brj-23067	109	18	which	which	PRON
brj-23067	109	19	means	mean	VERB
brj-23067	109	20	that	that	SCONJ
brj-23067	109	21	the	the	DET
brj-23067	109	22	complete	complete	ADJ
brj-23067	109	23	set	set	NOUN
brj-23067	109	24	of	of	ADP
brj-23067	109	25	independent	independent	ADJ
brj-23067	109	26	variables	variable	NOUN
brj-23067	109	27	used	use	VERB
brj-23067	109	28	in	in	ADP
brj-23067	109	29	the	the	DET
brj-23067	109	30	datadriven	datadriven	ADJ
brj-23067	109	31	soft	soft	ADJ
brj-23067	109	32	sensor	sensor	NOUN
brj-23067	109	33	can	can	AUX
brj-23067	109	34	be	be	AUX
brj-23067	109	35	represented	represent	VERB
brj-23067	109	36	by	by	ADP
brj-23067	109	37	eq	eq	ADJ
brj-23067	109	38	.	.	PROPN
brj-23067	109	39	2	2	NUM
brj-23067	109	40	:	:	PUNCT
brj-23067	109	41	𝑋𝑒𝑥𝑡𝑒𝑛𝑑𝑒𝑑	𝑋𝑒𝑥𝑡𝑒𝑛𝑑𝑒𝑑	PROPN
brj-23067	109	42	=	=	PUNCT
brj-23067	110	1	[	[	X
brj-23067	110	2	𝑋𝑒𝑥𝑡	𝑋𝑒𝑥𝑡	PROPN
brj-23067	110	3	,	,	PUNCT
brj-23067	110	4	�	�	PROPN
brj-23067	110	5	̂	̂	NOUN
brj-23067	110	6	�	�	PROPN
brj-23067	110	7	]	]	X
brj-23067	110	8	(	(	PUNCT
brj-23067	110	9	2	2	NUM
brj-23067	110	10	)	)	PUNCT
brj-23067	110	11	from	from	ADP
brj-23067	110	12	a	a	DET
brj-23067	110	13	practical	practical	ADJ
brj-23067	110	14	perspective	perspective	NOUN
brj-23067	110	15	,	,	PUNCT
brj-23067	110	16	it	it	PRON
brj-23067	110	17	is	be	AUX
brj-23067	110	18	impossible	impossible	ADJ
brj-23067	110	19	to	to	PART
brj-23067	110	20	introduce	introduce	VERB
brj-23067	110	21	all	all	DET
brj-23067	110	22	inputs	input	NOUN
brj-23067	110	23	from	from	ADP
brj-23067	110	24	xextended	xextende	VERB
brj-23067	110	25	in	in	ADP
brj-23067	110	26	the	the	DET
brj-23067	110	27	ann	ann	PROPN
brj-23067	110	28	modeling	modeling	NOUN
brj-23067	110	29	procedure	procedure	NOUN
brj-23067	110	30	.	.	PUNCT
brj-23067	111	1	however	however	ADV
brj-23067	111	2	,	,	PUNCT
brj-23067	111	3	some	some	DET
brj-23067	111	4	candidates	candidate	NOUN
brj-23067	111	5	are	be	AUX
brj-23067	111	6	more	more	ADV
brj-23067	111	7	relevant	relevant	ADJ
brj-23067	111	8	than	than	ADP
brj-23067	111	9	others	other	NOUN
brj-23067	111	10	(	(	PUNCT
brj-23067	111	11	karlström	karlström	NOUN
brj-23067	111	12	and	and	CCONJ
brj-23067	111	13	hill	hill	NOUN
brj-23067	111	14	(	(	PUNCT
brj-23067	111	15	2017a	2017a	NUM
brj-23067	111	16	,	,	PUNCT
brj-23067	111	17	b	b	NOUN
brj-23067	111	18	,	,	PUNCT
brj-23067	111	19	c	c	NOUN
brj-23067	111	20	)	)	PUNCT
brj-23067	111	21	;	;	PUNCT
brj-23067	111	22	bengtsson	bengtsson	NOUN
brj-23067	111	23	et	et	PROPN
brj-23067	111	24	al	al	PROPN
brj-23067	111	25	.	.	PROPN
brj-23067	112	1	(	(	PUNCT
brj-23067	112	2	2019	2019	NUM
brj-23067	112	3	,	,	PUNCT
brj-23067	112	4	2020	2020	NUM
brj-23067	112	5	,	,	PUNCT
brj-23067	112	6	2021	2021	NUM
brj-23067	112	7	)	)	PUNCT
brj-23067	112	8	)	)	PUNCT
brj-23067	112	9	see	see	VERB
brj-23067	112	10	below	below	ADV
brj-23067	112	11	:	:	PUNCT
brj-23067	112	12	external	external	ADJ
brj-23067	112	13	variables	variable	NOUN
brj-23067	112	14	(	(	PUNCT
brj-23067	112	15	xext	xext	PROPN
brj-23067	112	16	)	)	PUNCT
brj-23067	112	17	•	•	NUM
brj-23067	112	18	specific	specific	ADJ
brj-23067	112	19	energy	energy	NOUN
brj-23067	112	20	(	(	PUNCT
brj-23067	112	21	spe	spe	PROPN
brj-23067	112	22	)	)	PUNCT
brj-23067	112	23	or	or	CCONJ
brj-23067	112	24	the	the	DET
brj-23067	112	25	split	split	NOUN
brj-23067	112	26	into	into	ADP
brj-23067	112	27	motor	motor	NOUN
brj-23067	112	28	load	load	NOUN
brj-23067	112	29	(	(	PUNCT
brj-23067	112	30	mload	mload	NOUN
brj-23067	112	31	)	)	PUNCT
brj-23067	112	32	and	and	CCONJ
brj-23067	112	33	production	production	NOUN
brj-23067	112	34	(	(	PUNCT
brj-23067	112	35	prod	prod	NOUN
brj-23067	112	36	)	)	PUNCT
brj-23067	112	37	;	;	PUNCT
brj-23067	113	1	•	•	NUM
brj-23067	113	2	dilution	dilution	NOUN
brj-23067	113	3	water	water	NOUN
brj-23067	113	4	to	to	PART
brj-23067	113	5	fz	fz	VERB
brj-23067	113	6	and	and	CCONJ
brj-23067	113	7	cd	cd	PROPN
brj-23067	113	8	(	(	PUNCT
brj-23067	113	9	dilwfz	dilwfz	PROPN
brj-23067	113	10	,	,	PUNCT
brj-23067	113	11	dilwcd	dilwcd	PROPN
brj-23067	113	12	)	)	PUNCT
brj-23067	113	13	;	;	PUNCT
brj-23067	113	14	•	•	NUM
brj-23067	113	15	distance	distance	NOUN
brj-23067	113	16	between	between	ADP
brj-23067	113	17	segments	segment	NOUN
brj-23067	113	18	in	in	ADP
brj-23067	113	19	fz	fz	NOUN
brj-23067	113	20	and	and	CCONJ
brj-23067	113	21	cd	cd	PROPN
brj-23067	113	22	(	(	PUNCT
brj-23067	113	23	gapfz	gapfz	NOUN
brj-23067	113	24	,	,	PUNCT
brj-23067	113	25	gapcd	gapcd	NOUN
brj-23067	113	26	)	)	PUNCT
brj-23067	113	27	;	;	PUNCT
brj-23067	113	28	•	•	NUM
brj-23067	113	29	the	the	DET
brj-23067	113	30	amount	amount	NOUN
brj-23067	113	31	of	of	ADP
brj-23067	113	32	sawmill	sawmill	NOUN
brj-23067	113	33	chips	chip	NOUN
brj-23067	113	34	(	(	PUNCT
brj-23067	113	35	sawmill	sawmill	NOUN
brj-23067	113	36	)	)	PUNCT
brj-23067	113	37	,	,	PUNCT
brj-23067	113	38	which	which	PRON
brj-23067	113	39	affect	affect	VERB
brj-23067	113	40	e.g.	e.g.	ADV
brj-23067	113	41	,	,	PUNCT
brj-23067	113	42	the	the	DET
brj-23067	113	43	inlet	inlet	ADJ
brj-23067	113	44	consistency	consistency	NOUN
brj-23067	113	45	to	to	PART
brj-23067	113	46	fz	fz	PROPN
brj-23067	113	47	.	.	PUNCT
brj-23067	114	1	internal	internal	ADJ
brj-23067	114	2	variables	variable	NOUN
brj-23067	114	3	(	(	PUNCT
brj-23067	114	4	�	�	NOUN
brj-23067	114	5	̂	̂	NOUN
brj-23067	114	6	�	�	NOUN
brj-23067	114	7	)	)	PUNCT
brj-23067	114	8	•	•	NOUN
brj-23067	114	9	backward	backward	ADV
brj-23067	114	10	flowing	flow	VERB
brj-23067	114	11	steam	steam	NOUN
brj-23067	114	12	in	in	ADP
brj-23067	114	13	fz	fz	X
brj-23067	114	14	(	(	PUNCT
brj-23067	114	15	primarily	primarily	ADV
brj-23067	114	16	two	two	NUM
brj-23067	114	17	selected	select	VERB
brj-23067	114	18	close	close	ADV
brj-23067	114	19	to	to	ADP
brj-23067	114	20	the	the	DET
brj-23067	114	21	maximum	maximum	ADJ
brj-23067	114	22	temperature	temperature	NOUN
brj-23067	114	23	;	;	PUNCT
brj-23067	114	24	steam5	steam5	NOUN
brj-23067	114	25	,	,	PUNCT
brj-23067	114	26	steam8	steam8	PROPN
brj-23067	114	27	.	.	PUNCT
brj-23067	115	1	the	the	DET
brj-23067	115	2	figures	figure	NOUN
brj-23067	115	3	correspond	correspond	VERB
brj-23067	115	4	to	to	ADP
brj-23067	115	5	the	the	DET
brj-23067	115	6	position	position	NOUN
brj-23067	115	7	of	of	ADP
brj-23067	115	8	the	the	DET
brj-23067	115	9	temperature	temperature	NOUN
brj-23067	115	10	measurements	measurement	NOUN
brj-23067	115	11	in	in	ADP
brj-23067	115	12	fig	fig	NOUN
brj-23067	115	13	.	.	PUNCT
brj-23067	116	1	2	2	NUM
brj-23067	116	2	(	(	PUNCT
brj-23067	116	3	counted	count	VERB
brj-23067	116	4	from	from	ADP
brj-23067	116	5	the	the	DET
brj-23067	116	6	bottom	bottom	NOUN
brj-23067	116	7	of	of	ADP
brj-23067	116	8	the	the	DET
brj-23067	116	9	pictures	picture	NOUN
brj-23067	116	10	)	)	PUNCT
brj-23067	116	11	;	;	PUNCT
brj-23067	116	12	•	•	X
brj-23067	116	13	consistency	consistency	NOUN
brj-23067	116	14	out	out	ADV
brj-23067	116	15	from	from	ADP
brj-23067	116	16	fz	fz	NOUN
brj-23067	116	17	as	as	ADV
brj-23067	116	18	well	well	ADV
brj-23067	116	19	as	as	ADP
brj-23067	116	20	the	the	DET
brj-23067	116	21	consistency	consistency	NOUN
brj-23067	116	22	near	near	ADP
brj-23067	116	23	the	the	DET
brj-23067	116	24	periphery	periphery	NOUN
brj-23067	116	25	in	in	ADP
brj-23067	116	26	cd	cd	PROPN
brj-23067	116	27	,	,	PUNCT
brj-23067	116	28	(	(	PUNCT
brj-23067	116	29	cfz	cfz	ADJ
brj-23067	116	30	,	,	PUNCT
brj-23067	116	31	ccd	ccd	PROPN
brj-23067	116	32	)	)	PUNCT
brj-23067	116	33	;	;	PUNCT
brj-23067	116	34	•	•	NUM
brj-23067	116	35	fiber	fiber	NOUN
brj-23067	116	36	residence	residence	NOUN
brj-23067	116	37	time	time	NOUN
brj-23067	116	38	in	in	ADP
brj-23067	116	39	fz	fz	NOUN
brj-23067	116	40	and	and	CCONJ
brj-23067	116	41	cd	cd	PROPN
brj-23067	116	42	(	(	PUNCT
brj-23067	116	43	rfz	rfz	PROPN
brj-23067	116	44	,	,	PUNCT
brj-23067	116	45	rcd	rcd	PROPN
brj-23067	116	46	)	)	PUNCT
brj-23067	116	47	;	;	PUNCT
brj-23067	116	48	•	•	NUM
brj-23067	116	49	temperature	temperature	NOUN
brj-23067	116	50	profile	profile	NOUN
brj-23067	116	51	with	with	ADP
brj-23067	116	52	a	a	DET
brj-23067	116	53	focus	focus	NOUN
brj-23067	116	54	on	on	ADP
brj-23067	116	55	maximum	maximum	ADJ
brj-23067	116	56	temperature	temperature	NOUN
brj-23067	116	57	in	in	ADP
brj-23067	116	58	fz	fz	NOUN
brj-23067	116	59	and	and	CCONJ
brj-23067	116	60	cd	cd	PROPN
brj-23067	116	61	(	(	PUNCT
brj-23067	116	62	tmaxfz	tmaxfz	NOUN
brj-23067	116	63	and	and	CCONJ
brj-23067	116	64	tmaxcd	tmaxcd	PROPN
brj-23067	116	65	)	)	PUNCT
brj-23067	116	66	and	and	CCONJ
brj-23067	116	67	periphery	periphery	NOUN
brj-23067	116	68	temperature	temperature	NOUN
brj-23067	116	69	in	in	ADP
brj-23067	116	70	cd	cd	PROPN
brj-23067	116	71	(	(	PUNCT
brj-23067	116	72	tcdper	tcdper	NOUN
brj-23067	116	73	)	)	PUNCT
brj-23067	116	74	.	.	PUNCT
brj-23067	117	1	to	to	PART
brj-23067	117	2	handle	handle	VERB
brj-23067	117	3	outliers	outlier	NOUN
brj-23067	117	4	in	in	ADP
brj-23067	117	5	the	the	DET
brj-23067	117	6	input	input	NOUN
brj-23067	117	7	/	/	SYM
brj-23067	117	8	output	output	NOUN
brj-23067	117	9	data	data	NOUN
brj-23067	117	10	sets	set	NOUN
brj-23067	117	11	,	,	PUNCT
brj-23067	117	12	pre	pre	ADJ
brj-23067	117	13	-	-	ADJ
brj-23067	117	14	processing	processing	NOUN
brj-23067	117	15	was	be	AUX
brj-23067	117	16	performed	perform	VERB
brj-23067	117	17	to	to	PART
brj-23067	117	18	reject	reject	VERB
brj-23067	117	19	data	datum	NOUN
brj-23067	117	20	from	from	ADP
brj-23067	117	21	process	process	NOUN
brj-23067	117	22	stops	stop	NOUN
brj-23067	117	23	and	and	CCONJ
brj-23067	117	24	traditional	traditional	ADJ
brj-23067	117	25	process	process	NOUN
brj-23067	117	26	failures	failure	NOUN
brj-23067	117	27	.	.	PUNCT
brj-23067	118	1	this	this	PRON
brj-23067	118	2	is	be	AUX
brj-23067	118	3	handled	handle	VERB
brj-23067	118	4	by	by	ADP
brj-23067	118	5	removing	remove	VERB
brj-23067	118	6	all	all	DET
brj-23067	118	7	measurements	measurement	NOUN
brj-23067	118	8	larger	large	ADJ
brj-23067	118	9	than	than	ADP
brj-23067	118	10	3	3	NUM
brj-23067	118	11	standard	standard	ADJ
brj-23067	118	12	deviations	deviation	NOUN
brj-23067	118	13	from	from	ADP
brj-23067	118	14	the	the	DET
brj-23067	118	15	mean	mean	NOUN
brj-23067	118	16	.	.	PUNCT
brj-23067	119	1	other	other	ADJ
brj-23067	119	2	failures	failure	NOUN
brj-23067	119	3	,	,	PUNCT
brj-23067	119	4	like	like	ADP
brj-23067	119	5	malfunctions	malfunction	NOUN
brj-23067	119	6	in	in	ADP
brj-23067	119	7	measurement	measurement	NOUN
brj-23067	119	8	devices	device	NOUN
brj-23067	119	9	,	,	PUNCT
brj-23067	119	10	will	will	AUX
brj-23067	119	11	be	be	AUX
brj-23067	119	12	rejected	reject	VERB
brj-23067	119	13	as	as	ADV
brj-23067	119	14	well	well	ADV
brj-23067	119	15	.	.	PUNCT
brj-23067	120	1	another	another	DET
brj-23067	120	2	obstacle	obstacle	NOUN
brj-23067	120	3	to	to	PART
brj-23067	120	4	handle	handle	VERB
brj-23067	120	5	is	be	AUX
brj-23067	120	6	the	the	DET
brj-23067	120	7	fact	fact	NOUN
brj-23067	120	8	that	that	SCONJ
brj-23067	120	9	the	the	DET
brj-23067	120	10	internal	internal	ADJ
brj-23067	120	11	and	and	CCONJ
brj-23067	120	12	external	external	ADJ
brj-23067	120	13	variables	variable	NOUN
brj-23067	120	14	as	as	ADP
brj-23067	120	15	inputs	input	NOUN
brj-23067	120	16	can	can	AUX
brj-23067	120	17	introduce	introduce	VERB
brj-23067	120	18	(	(	PUNCT
brj-23067	120	19	larger	large	ADJ
brj-23067	120	20	or	or	CCONJ
brj-23067	120	21	smaller	small	ADJ
brj-23067	120	22	)	)	PUNCT
brj-23067	120	23	process	process	NOUN
brj-23067	120	24	-	-	PUNCT
brj-23067	120	25	related	relate	VERB
brj-23067	120	26	dependencies	dependency	NOUN
brj-23067	120	27	.	.	PUNCT
brj-23067	121	1	to	to	PART
brj-23067	121	2	analyze	analyze	VERB
brj-23067	121	3	such	such	ADJ
brj-23067	121	4	situations	situation	NOUN
brj-23067	121	5	and	and	CCONJ
brj-23067	121	6	detect	detect	VERB
brj-23067	121	7	multicollinearities	multicollinearity	NOUN
brj-23067	121	8	the	the	DET
brj-23067	121	9	variance	variance	NOUN
brj-23067	121	10	inflation	inflation	NOUN
brj-23067	121	11	factors	factor	NOUN
brj-23067	121	12	(	(	PUNCT
brj-23067	121	13	vif	vif	NOUN
brj-23067	121	14	)	)	PUNCT
brj-23067	121	15	are	be	AUX
brj-23067	121	16	worth	worth	ADJ
brj-23067	121	17	studying	study	VERB
brj-23067	121	18	.	.	PUNCT
brj-23067	122	1	𝑉𝐼𝐹𝑘	𝑉𝐼𝐹𝑘	NOUN
brj-23067	122	2	=	=	NOUN
brj-23067	122	3	1	1	NUM
brj-23067	122	4	1	1	NUM
brj-23067	122	5	−	−	NOUN
brj-23067	122	6	𝑅𝑘	𝑅𝑘	PRON
brj-23067	122	7	2	2	NUM
brj-23067	122	8	(	(	PUNCT
brj-23067	122	9	3	3	NUM
brj-23067	122	10	)	)	PUNCT
brj-23067	122	11	in	in	ADP
brj-23067	122	12	eq	eq	ADP
brj-23067	122	13	.	.	PROPN
brj-23067	122	14	3	3	NUM
brj-23067	122	15	,	,	PUNCT
brj-23067	122	16	𝑅𝑘	𝑅𝑘	PRON
brj-23067	122	17	2	2	NUM
brj-23067	122	18	represents	represent	VERB
brj-23067	122	19	the	the	DET
brj-23067	122	20	coefficient	coefficient	NOUN
brj-23067	122	21	of	of	ADP
brj-23067	122	22	determination	determination	NOUN
brj-23067	122	23	obtained	obtain	VERB
brj-23067	122	24	by	by	ADP
brj-23067	122	25	regressing	regress	VERB
brj-23067	122	26	the	the	DET
brj-23067	122	27	kth	kth	PROPN
brj-23067	122	28	inputs	input	NOUN
brj-23067	122	29	on	on	ADP
brj-23067	122	30	the	the	DET
brj-23067	122	31	remaining	remain	VERB
brj-23067	122	32	inputs	input	NOUN
brj-23067	122	33	,	,	PUNCT
brj-23067	122	34	i.e.	i.e.	X
brj-23067	122	35	,	,	PUNCT
brj-23067	122	36	vif	vif	NOUN
brj-23067	122	37	quantifies	quantifie	NOUN
brj-23067	122	38	how	how	SCONJ
brj-23067	122	39	much	much	ADV
brj-23067	122	40	the	the	DET
brj-23067	122	41	variance	variance	NOUN
brj-23067	122	42	is	be	AUX
brj-23067	122	43	inflated	inflate	VERB
brj-23067	122	44	,	,	PUNCT
brj-23067	122	45	(	(	PUNCT
brj-23067	122	46	karlström	karlström	NOUN
brj-23067	122	47	et	et	PROPN
brj-23067	122	48	al	al	PROPN
brj-23067	122	49	.	.	PROPN
brj-23067	122	50	2022	2022	NUM
brj-23067	122	51	)	)	PUNCT
brj-23067	122	52	.	.	PUNCT
brj-23067	123	1	at	at	ADP
brj-23067	123	2	this	this	DET
brj-23067	123	3	stage	stage	NOUN
brj-23067	123	4	,	,	PUNCT
brj-23067	123	5	it	it	PRON
brj-23067	123	6	is	be	AUX
brj-23067	123	7	not	not	PART
brj-23067	123	8	known	know	VERB
brj-23067	123	9	whether	whether	SCONJ
brj-23067	123	10	the	the	DET
brj-23067	123	11	dependencies	dependency	NOUN
brj-23067	123	12	are	be	AUX
brj-23067	123	13	linear	linear	ADJ
brj-23067	123	14	or	or	CCONJ
brj-23067	123	15	non	non	ADJ
brj-23067	123	16	-	-	ADJ
brj-23067	123	17	linear	linear	ADJ
brj-23067	124	1	but	but	CCONJ
brj-23067	124	2	if	if	SCONJ
brj-23067	124	3	a	a	DET
brj-23067	124	4	standalone	standalone	NOUN
brj-23067	124	5	model	model	NOUN
brj-23067	124	6	is	be	AUX
brj-23067	124	7	considered	consider	VERB
brj-23067	124	8	,	,	PUNCT
brj-23067	124	9	handling	handle	VERB
brj-23067	124	10	the	the	DET
brj-23067	124	11	collinearities	collinearitie	NOUN
brj-23067	124	12	is	be	AUX
brj-23067	124	13	a	a	DET
brj-23067	124	14	good	good	ADJ
brj-23067	124	15	initiative	initiative	NOUN
brj-23067	124	16	to	to	PART
brj-23067	124	17	analyze	analyze	VERB
brj-23067	124	18	input	input	NOUN
brj-23067	124	19	data	datum	NOUN
brj-23067	124	20	in	in	ADP
brj-23067	124	21	the	the	DET
brj-23067	124	22	modeling	modeling	NOUN
brj-23067	124	23	procedure	procedure	NOUN
brj-23067	124	24	.	.	PUNCT
brj-23067	125	1	a	a	DET
brj-23067	125	2	vifk	vifk	NOUN
brj-23067	125	3	=	=	SYM
brj-23067	125	4	1	1	NUM
brj-23067	125	5	means	mean	VERB
brj-23067	125	6	that	that	SCONJ
brj-23067	125	7	there	there	PRON
brj-23067	125	8	is	be	VERB
brj-23067	125	9	no	no	DET
brj-23067	125	10	linear	linear	ADJ
brj-23067	125	11	correlation	correlation	NOUN
brj-23067	125	12	between	between	ADP
brj-23067	125	13	the	the	DET
brj-23067	125	14	kth	kth	PROPN
brj-23067	125	15	input	input	NOUN
brj-23067	125	16	and	and	CCONJ
brj-23067	125	17	the	the	DET
brj-23067	125	18	other	other	ADJ
brj-23067	125	19	remaining	remain	VERB
brj-23067	125	20	inputs	input	NOUN
brj-23067	125	21	.	.	PUNCT
brj-23067	126	1	if	if	SCONJ
brj-23067	126	2	vifk	vifk	NOUN
brj-23067	126	3	>	>	X
brj-23067	126	4	4	4	NUM
brj-23067	126	5	,	,	PUNCT
brj-23067	126	6	a	a	DET
brj-23067	126	7	general	general	ADJ
brj-23067	126	8	rule	rule	NOUN
brj-23067	126	9	is	be	AUX
brj-23067	126	10	that	that	SCONJ
brj-23067	126	11	further	further	ADJ
brj-23067	126	12	analysis	analysis	NOUN
brj-23067	126	13	should	should	AUX
brj-23067	126	14	be	be	AUX
brj-23067	126	15	performed	perform	VERB
brj-23067	126	16	,	,	PUNCT
brj-23067	126	17	while	while	SCONJ
brj-23067	126	18	vifk	vifk	ADJ
brj-23067	126	19	>	>	X
brj-23067	126	20	10	10	NUM
brj-23067	126	21	indicates	indicate	VERB
brj-23067	126	22	serious	serious	ADJ
brj-23067	126	23	multicollinearities	multicollinearity	NOUN
brj-23067	126	24	,	,	PUNCT
brj-23067	126	25	which	which	PRON
brj-23067	126	26	may	may	AUX
brj-23067	126	27	call	call	VERB
brj-23067	126	28	for	for	ADP
brj-23067	126	29	further	further	ADJ
brj-23067	126	30	analysis	analysis	NOUN
brj-23067	126	31	and	and	CCONJ
brj-23067	126	32	perhaps	perhaps	ADV
brj-23067	126	33	a	a	DET
brj-23067	126	34	modified	modify	VERB
brj-23067	126	35	set	set	NOUN
brj-23067	126	36	of	of	ADP
brj-23067	126	37	inputs	input	NOUN
brj-23067	126	38	(	(	PUNCT
brj-23067	126	39	belsley	belsley	PROPN
brj-23067	126	40	et	et	PROPN
brj-23067	126	41	al	al	PROPN
brj-23067	126	42	.	.	PROPN
brj-23067	126	43	1980	1980	NUM
brj-23067	126	44	)	)	PUNCT
brj-23067	126	45	.	.	PUNCT
brj-23067	127	1	in	in	ADP
brj-23067	127	2	general	general	ADJ
brj-23067	127	3	,	,	PUNCT
brj-23067	127	4	if	if	SCONJ
brj-23067	127	5	only	only	ADV
brj-23067	127	6	external	external	ADJ
brj-23067	127	7	variables	variable	NOUN
brj-23067	127	8	are	be	AUX
brj-23067	127	9	used	use	VERB
brj-23067	127	10	,	,	PUNCT
brj-23067	127	11	then	then	ADV
brj-23067	127	12	the	the	DET
brj-23067	127	13	collinearities	collinearitie	NOUN
brj-23067	127	14	are	be	AUX
brj-23067	127	15	not	not	PART
brj-23067	127	16	severe	severe	ADJ
brj-23067	127	17	,	,	PUNCT
brj-23067	127	18	which	which	PRON
brj-23067	127	19	will	will	AUX
brj-23067	127	20	be	be	AUX
brj-23067	127	21	shown	show	VERB
brj-23067	127	22	peer	peer	NOUN
brj-23067	127	23	-	-	PUNCT
brj-23067	127	24	reviewed	review	VERB
brj-23067	127	25	article	article	NOUN
brj-23067	127	26	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	127	27	karlström	karlström	PROPN
brj-23067	127	28	et	et	PROPN
brj-23067	127	29	al	al	PROPN
brj-23067	127	30	.	.	PROPN
brj-23067	128	1	(	(	PUNCT
brj-23067	128	2	2024	2024	NUM
brj-23067	128	3	)	)	PUNCT
brj-23067	128	4	.	.	PUNCT
brj-23067	129	1	“	"	PUNCT
brj-23067	129	2	soft	soft	ADJ
brj-23067	129	3	sensors	sensor	NOUN
brj-23067	129	4	in	in	ADP
brj-23067	129	5	refining	refining	NOUN
brj-23067	129	6	,	,	PUNCT
brj-23067	129	7	”	"	PUNCT
brj-23067	129	8	bioresources	bioresource	NOUN
brj-23067	129	9	19(1	19(1	NUM
brj-23067	129	10	)	)	PUNCT
brj-23067	129	11	,	,	PUNCT
brj-23067	129	12	1030	1030	NUM
brj-23067	129	13	-	-	SYM
brj-23067	129	14	1057	1057	NUM
brj-23067	129	15	.	.	PUNCT
brj-23067	130	1	1036	1036	NUM
brj-23067	130	2	below	below	ADV
brj-23067	130	3	.	.	PUNCT
brj-23067	131	1	however	however	ADV
brj-23067	131	2	,	,	PUNCT
brj-23067	131	3	when	when	SCONJ
brj-23067	131	4	using	use	VERB
brj-23067	131	5	internal	internal	ADJ
brj-23067	131	6	variables	variable	NOUN
brj-23067	131	7	,	,	PUNCT
brj-23067	131	8	the	the	DET
brj-23067	131	9	collinearities	collinearitie	NOUN
brj-23067	131	10	occur	occur	VERB
brj-23067	131	11	naturally	naturally	ADV
brj-23067	131	12	,	,	PUNCT
brj-23067	131	13	meaning	mean	VERB
brj-23067	131	14	that	that	SCONJ
brj-23067	131	15	several	several	ADJ
brj-23067	131	16	aspects	aspect	NOUN
brj-23067	131	17	must	must	AUX
brj-23067	131	18	be	be	AUX
brj-23067	131	19	considered	consider	VERB
brj-23067	131	20	.	.	PUNCT
brj-23067	132	1	for	for	ADP
brj-23067	132	2	example	example	NOUN
brj-23067	132	3	,	,	PUNCT
brj-23067	132	4	if	if	SCONJ
brj-23067	132	5	the	the	DET
brj-23067	132	6	aim	aim	NOUN
brj-23067	132	7	is	be	AUX
brj-23067	132	8	to	to	PART
brj-23067	132	9	derive	derive	VERB
brj-23067	132	10	“	"	PUNCT
brj-23067	132	11	standalone	standalone	ADJ
brj-23067	132	12	”	"	PUNCT
brj-23067	132	13	estimators	estimator	NOUN
brj-23067	132	14	where	where	SCONJ
brj-23067	132	15	the	the	DET
brj-23067	132	16	contribution	contribution	NOUN
brj-23067	132	17	from	from	ADP
brj-23067	132	18	each	each	DET
brj-23067	132	19	independent	independent	ADJ
brj-23067	132	20	variable	variable	NOUN
brj-23067	132	21	is	be	AUX
brj-23067	132	22	analyzed	analyze	VERB
brj-23067	132	23	,	,	PUNCT
brj-23067	132	24	the	the	DET
brj-23067	132	25	collinearities	collinearitie	NOUN
brj-23067	132	26	in	in	ADP
brj-23067	132	27	xextended	xextended	PROPN
brj-23067	132	28	become	become	VERB
brj-23067	132	29	cumbersome	cumbersome	ADJ
brj-23067	132	30	for	for	ADP
brj-23067	132	31	all	all	DET
brj-23067	132	32	data	data	NOUN
brj-23067	132	33	-	-	PUNCT
brj-23067	132	34	driven	drive	VERB
brj-23067	132	35	soft	soft	ADJ
brj-23067	132	36	sensors	sensor	NOUN
brj-23067	132	37	.	.	PUNCT
brj-23067	133	1	in	in	ADP
brj-23067	133	2	contrast	contrast	NOUN
brj-23067	133	3	,	,	PUNCT
brj-23067	133	4	if	if	SCONJ
brj-23067	133	5	the	the	DET
brj-23067	133	6	aim	aim	NOUN
brj-23067	133	7	is	be	AUX
brj-23067	133	8	to	to	PART
brj-23067	133	9	find	find	VERB
brj-23067	133	10	a	a	DET
brj-23067	133	11	data	data	NOUN
brj-23067	133	12	-	-	PUNCT
brj-23067	133	13	driven	drive	VERB
brj-23067	133	14	soft	soft	ADJ
brj-23067	133	15	sensor	sensor	NOUN
brj-23067	133	16	that	that	PRON
brj-23067	133	17	can	can	AUX
brj-23067	133	18	use	use	VERB
brj-23067	133	19	information	information	NOUN
brj-23067	133	20	from	from	ADP
brj-23067	133	21	the	the	DET
brj-23067	133	22	modeldriven	modeldriven	VERB
brj-23067	133	23	soft	soft	ADJ
brj-23067	133	24	sensor	sensor	NOUN
brj-23067	133	25	,	,	PUNCT
brj-23067	133	26	we	we	PRON
brj-23067	133	27	can	can	AUX
brj-23067	133	28	accept	accept	VERB
brj-23067	133	29	that	that	SCONJ
brj-23067	133	30	the	the	DET
brj-23067	133	31	vif	vif	NOUN
brj-23067	133	32	between	between	ADP
brj-23067	133	33	the	the	DET
brj-23067	133	34	internal	internal	ADJ
brj-23067	133	35	variables	variable	NOUN
brj-23067	133	36	can	can	AUX
brj-23067	133	37	exceed	exceed	VERB
brj-23067	133	38	the	the	DET
brj-23067	133	39	rule	rule	NOUN
brj-23067	133	40	of	of	ADP
brj-23067	133	41	thumb	thumb	NOUN
brj-23067	133	42	if	if	SCONJ
brj-23067	133	43	the	the	DET
brj-23067	133	44	data	data	NOUN
brj-23067	133	45	-	-	PUNCT
brj-23067	133	46	driven	drive	VERB
brj-23067	133	47	soft	soft	ADJ
brj-23067	133	48	sensor	sensor	NOUN
brj-23067	133	49	is	be	AUX
brj-23067	133	50	not	not	PART
brj-23067	133	51	used	use	VERB
brj-23067	133	52	as	as	ADP
brj-23067	133	53	a	a	DET
brj-23067	133	54	standalone	standalone	ADJ
brj-23067	133	55	estimator	estimator	NOUN
brj-23067	133	56	.	.	PUNCT
brj-23067	134	1	this	this	DET
brj-23067	134	2	paper	paper	NOUN
brj-23067	134	3	analyzes	analyze	VERB
brj-23067	134	4	whether	whether	SCONJ
brj-23067	134	5	the	the	DET
brj-23067	134	6	external	external	ADJ
brj-23067	134	7	variables	variable	NOUN
brj-23067	134	8	in	in	ADP
brj-23067	134	9	xext	xext	PROPN
brj-23067	134	10	will	will	AUX
brj-23067	134	11	do	do	VERB
brj-23067	134	12	fine	fine	ADV
brj-23067	134	13	as	as	ADP
brj-23067	134	14	model	model	NOUN
brj-23067	134	15	inputs	input	NOUN
brj-23067	134	16	or	or	CCONJ
brj-23067	134	17	if	if	SCONJ
brj-23067	134	18	additional	additional	ADJ
brj-23067	134	19	information	information	NOUN
brj-23067	134	20	from	from	ADP
brj-23067	134	21	the	the	DET
brj-23067	134	22	internal	internal	ADJ
brj-23067	134	23	variables	variable	NOUN
brj-23067	134	24	is	be	AUX
brj-23067	134	25	needed	need	VERB
brj-23067	134	26	when	when	SCONJ
brj-23067	134	27	estimating	estimate	VERB
brj-23067	134	28	the	the	DET
brj-23067	134	29	outputs	output	NOUN
brj-23067	134	30	�	�	PROPN
brj-23067	134	31	̂	̂	PROPN
brj-23067	134	32	�	�	PROPN
brj-23067	134	33	in	in	ADP
brj-23067	134	34	eq	eq	NOUN
brj-23067	134	35	.	.	PROPN
brj-23067	134	36	1	1	X
brj-23067	134	37	.	.	X
brj-23067	134	38	estimation	estimation	NOUN
brj-23067	134	39	of	of	ADP
brj-23067	134	40	internal	internal	ADJ
brj-23067	134	41	variables	variable	NOUN
brj-23067	134	42	in	in	ADP
brj-23067	134	43	data	data	NOUN
brj-23067	134	44	-	-	PUNCT
brj-23067	134	45	driven	drive	VERB
brj-23067	134	46	soft	soft	ADJ
brj-23067	134	47	sensors	sensor	NOUN
brj-23067	134	48	as	as	SCONJ
brj-23067	134	49	declared	declare	VERB
brj-23067	134	50	above	above	ADV
brj-23067	134	51	,	,	PUNCT
brj-23067	134	52	some	some	PRON
brj-23067	134	53	of	of	ADP
brj-23067	134	54	the	the	DET
brj-23067	134	55	internal	internal	ADJ
brj-23067	134	56	variables	variable	NOUN
brj-23067	134	57	in	in	ADP
brj-23067	134	58	eq	eq	ADP
brj-23067	134	59	.	.	PROPN
brj-23067	134	60	1	1	NUM
brj-23067	134	61	,	,	PUNCT
brj-23067	134	62	can	can	AUX
brj-23067	134	63	be	be	AUX
brj-23067	134	64	worth	worth	ADJ
brj-23067	134	65	studying	study	VERB
brj-23067	134	66	as	as	ADP
brj-23067	134	67	output	output	NOUN
brj-23067	134	68	candidates	candidate	NOUN
brj-23067	134	69	as	as	ADV
brj-23067	134	70	well	well	ADV
brj-23067	134	71	.	.	PUNCT
brj-23067	135	1	this	this	PRON
brj-23067	135	2	is	be	AUX
brj-23067	135	3	especially	especially	ADV
brj-23067	135	4	true	true	ADJ
brj-23067	135	5	if	if	SCONJ
brj-23067	135	6	the	the	DET
brj-23067	135	7	aim	aim	NOUN
brj-23067	135	8	is	be	AUX
brj-23067	135	9	to	to	PART
brj-23067	135	10	develop	develop	VERB
brj-23067	135	11	simulation	simulation	NOUN
brj-23067	135	12	tools	tool	NOUN
brj-23067	135	13	for	for	ADP
brj-23067	135	14	pulp	pulp	NOUN
brj-23067	135	15	refining	refining	NOUN
brj-23067	135	16	processes	process	NOUN
brj-23067	135	17	.	.	PUNCT
brj-23067	136	1	a	a	DET
brj-23067	136	2	natural	natural	ADJ
brj-23067	136	3	set	set	NOUN
brj-23067	136	4	of	of	ADP
brj-23067	136	5	internal	internal	ADJ
brj-23067	136	6	variables	variable	NOUN
brj-23067	136	7	to	to	PART
brj-23067	136	8	study	study	VERB
brj-23067	136	9	in	in	ADP
brj-23067	136	10	more	more	ADJ
brj-23067	136	11	detail	detail	NOUN
brj-23067	136	12	will	will	AUX
brj-23067	136	13	include	include	VERB
brj-23067	136	14	the	the	DET
brj-23067	136	15	maximum	maximum	ADJ
brj-23067	136	16	temperatures	temperature	NOUN
brj-23067	136	17	and	and	CCONJ
brj-23067	136	18	the	the	DET
brj-23067	136	19	consistencies	consistency	NOUN
brj-23067	136	20	in	in	ADP
brj-23067	136	21	fz	fz	NOUN
brj-23067	136	22	and	and	CCONJ
brj-23067	136	23	cd	cd	PROPN
brj-23067	136	24	.	.	PUNCT
brj-23067	137	1	these	these	DET
brj-23067	137	2	variables	variable	NOUN
brj-23067	137	3	are	be	AUX
brj-23067	137	4	central	central	ADJ
brj-23067	137	5	when	when	SCONJ
brj-23067	137	6	it	it	PRON
brj-23067	137	7	comes	come	VERB
brj-23067	137	8	to	to	ADP
brj-23067	137	9	simulation	simulation	NOUN
brj-23067	137	10	tools	tool	NOUN
brj-23067	137	11	as	as	ADV
brj-23067	137	12	well	well	ADV
brj-23067	137	13	as	as	ADP
brj-23067	137	14	advanced	advanced	ADJ
brj-23067	137	15	control	control	NOUN
brj-23067	137	16	concepts	concept	NOUN
brj-23067	137	17	(	(	PUNCT
brj-23067	137	18	karlström	karlström	NOUN
brj-23067	137	19	and	and	CCONJ
brj-23067	137	20	hill	hill	NOUN
brj-23067	137	21	2018b	2018b	NUM
brj-23067	137	22	)	)	PUNCT
brj-23067	137	23	.	.	PUNCT
brj-23067	138	1	in	in	ADP
brj-23067	138	2	this	this	DET
brj-23067	138	3	paper	paper	NOUN
brj-23067	138	4	,	,	PUNCT
brj-23067	138	5	the	the	DET
brj-23067	138	6	following	follow	VERB
brj-23067	138	7	internal	internal	ADJ
brj-23067	138	8	variables	variable	NOUN
brj-23067	138	9	are	be	AUX
brj-23067	138	10	of	of	ADP
brj-23067	138	11	special	special	ADJ
brj-23067	138	12	interest	interest	NOUN
brj-23067	138	13	:	:	PUNCT
brj-23067	138	14	�	�	PROPN
brj-23067	138	15	̂	̂	NOUN
brj-23067	138	16	�	�	NOUN
brj-23067	138	17	𝑖𝑛𝑡	𝑖𝑛𝑡	NOUN
brj-23067	138	18	=	=	PUNCT
brj-23067	139	1	[	[	X
brj-23067	139	2	�	�	NOUN
brj-23067	139	3	̂	̂	NOUN
brj-23067	139	4	�	�	NOUN
brj-23067	139	5	𝑇𝑚𝑎𝑥𝐹𝑍	𝑇𝑚𝑎𝑥𝐹𝑍	NOUN
brj-23067	139	6	,	,	PUNCT
brj-23067	139	7	�	�	PROPN
brj-23067	139	8	̂	̂	NOUN
brj-23067	139	9	�	�	NOUN
brj-23067	139	10	𝐶𝐹𝑍	𝐶𝐹𝑍	PROPN
brj-23067	139	11	,	,	PUNCT
brj-23067	139	12	�	�	PROPN
brj-23067	139	13	̂	̂	NOUN
brj-23067	139	14	�	�	NOUN
brj-23067	139	15	𝑇𝑚𝑎𝑥𝐶𝐷	𝑇𝑚𝑎𝑥𝐶𝐷	PROPN
brj-23067	139	16	,	,	PUNCT
brj-23067	139	17	�	�	PROPN
brj-23067	139	18	̂	̂	NOUN
brj-23067	139	19	�	�	NOUN
brj-23067	139	20	𝐶𝐶𝐷	𝐶𝐶𝐷	PROPN
brj-23067	139	21	]	]	PUNCT
brj-23067	139	22	(	(	PUNCT
brj-23067	139	23	4	4	NUM
brj-23067	139	24	)	)	PUNCT
brj-23067	140	1	to	to	PART
brj-23067	140	2	minimize	minimize	VERB
brj-23067	140	3	the	the	DET
brj-23067	140	4	risk	risk	NOUN
brj-23067	140	5	for	for	ADP
brj-23067	140	6	input	input	NOUN
brj-23067	140	7	collinearities	collinearitie	NOUN
brj-23067	140	8	in	in	ADP
brj-23067	140	9	the	the	DET
brj-23067	140	10	model	model	NOUN
brj-23067	140	11	,	,	PUNCT
brj-23067	140	12	the	the	DET
brj-23067	140	13	focus	focus	NOUN
brj-23067	140	14	here	here	ADV
brj-23067	140	15	is	be	AUX
brj-23067	140	16	placed	place	VERB
brj-23067	140	17	on	on	ADP
brj-23067	140	18	the	the	DET
brj-23067	140	19	external	external	ADJ
brj-23067	140	20	variables	variable	NOUN
brj-23067	140	21	in	in	ADP
brj-23067	140	22	xext	xext	PROPN
brj-23067	140	23	as	as	ADP
brj-23067	140	24	inputs	input	NOUN
brj-23067	140	25	when	when	SCONJ
brj-23067	140	26	estimating	estimate	VERB
brj-23067	140	27	[	[	PUNCT
brj-23067	140	28	�	�	NOUN
brj-23067	140	29	̂	̂	SYM
brj-23067	140	30	�	�	NOUN
brj-23067	140	31	𝑇𝑚𝑎𝑥	𝑇𝑚𝑎𝑥	PROPN
brj-23067	140	32	𝐹𝑍	𝐹𝑍	PROPN
brj-23067	140	33	,	,	PUNCT
brj-23067	140	34	�	�	PROPN
brj-23067	140	35	̂	̂	NOUN
brj-23067	140	36	�	�	NOUN
brj-23067	140	37	𝐶𝐹𝑍	𝐶𝐹𝑍	PROPN
brj-23067	140	38	]	]	PUNCT
brj-23067	140	39	,	,	PUNCT
brj-23067	140	40	while	while	SCONJ
brj-23067	140	41	xextended	xextende	VERB
brj-23067	140	42	in	in	ADP
brj-23067	140	43	eq	eq	NOUN
brj-23067	140	44	.	.	PROPN
brj-23067	140	45	2	2	NUM
brj-23067	140	46	can	can	AUX
brj-23067	140	47	be	be	AUX
brj-23067	140	48	needed	need	VERB
brj-23067	140	49	when	when	SCONJ
brj-23067	140	50	estimating	estimate	VERB
brj-23067	140	51	[	[	PUNCT
brj-23067	140	52	�	�	PROPN
brj-23067	140	53	̂	̂	SYM
brj-23067	140	54	�	�	NOUN
brj-23067	140	55	𝑇𝑚𝑎𝑥𝐶𝐷	𝑇𝑚𝑎𝑥𝐶𝐷	PROPN
brj-23067	140	56	,	,	PUNCT
brj-23067	140	57	�	�	PROPN
brj-23067	140	58	̂	̂	NOUN
brj-23067	140	59	�	�	NOUN
brj-23067	140	60	𝐶𝐶𝐷	𝐶𝐶𝐷	PROPN
brj-23067	140	61	]	]	PUNCT
brj-23067	140	62	.	.	PUNCT
brj-23067	141	1	the	the	DET
brj-23067	141	2	latter	latter	ADJ
brj-23067	141	3	statement	statement	NOUN
brj-23067	141	4	will	will	AUX
brj-23067	141	5	be	be	AUX
brj-23067	141	6	discussed	discuss	VERB
brj-23067	141	7	further	far	ADV
brj-23067	141	8	below	below	ADV
brj-23067	141	9	.	.	PUNCT
brj-23067	142	1	normally	normally	ADV
brj-23067	142	2	,	,	PUNCT
brj-23067	142	3	the	the	DET
brj-23067	142	4	operators	operator	NOUN
brj-23067	142	5	use	use	VERB
brj-23067	142	6	the	the	DET
brj-23067	142	7	specific	specific	ADJ
brj-23067	142	8	energy	energy	NOUN
brj-23067	142	9	as	as	ADP
brj-23067	142	10	a	a	DET
brj-23067	142	11	measure	measure	NOUN
brj-23067	142	12	of	of	ADP
brj-23067	142	13	how	how	SCONJ
brj-23067	142	14	the	the	DET
brj-23067	142	15	defibration	defibration	NOUN
brj-23067	142	16	/	/	SYM
brj-23067	142	17	fibrillation	fibrillation	NOUN
brj-23067	142	18	of	of	ADP
brj-23067	142	19	the	the	DET
brj-23067	142	20	chips	chip	NOUN
brj-23067	142	21	/	/	SYM
brj-23067	142	22	fibers	fiber	NOUN
brj-23067	142	23	is	be	AUX
brj-23067	142	24	performed	perform	VERB
brj-23067	142	25	.	.	PUNCT
brj-23067	143	1	this	this	PRON
brj-23067	143	2	is	be	AUX
brj-23067	143	3	,	,	PUNCT
brj-23067	143	4	however	however	ADV
brj-23067	143	5	,	,	PUNCT
brj-23067	143	6	a	a	DET
brj-23067	143	7	rather	rather	ADV
brj-23067	143	8	rough	rough	ADJ
brj-23067	143	9	approach	approach	NOUN
brj-23067	143	10	,	,	PUNCT
brj-23067	143	11	as	as	SCONJ
brj-23067	143	12	the	the	DET
brj-23067	143	13	specific	specific	ADJ
brj-23067	143	14	energy	energy	NOUN
brj-23067	143	15	is	be	AUX
brj-23067	143	16	dependent	dependent	ADJ
brj-23067	143	17	on	on	ADP
brj-23067	143	18	both	both	CCONJ
brj-23067	143	19	the	the	DET
brj-23067	143	20	production	production	NOUN
brj-23067	143	21	and	and	CCONJ
brj-23067	143	22	the	the	DET
brj-23067	143	23	motor	motor	NOUN
brj-23067	143	24	load	load	NOUN
brj-23067	143	25	i.e.	i.e.	ADV
brj-23067	143	26	,	,	PUNCT
brj-23067	143	27	the	the	DET
brj-23067	143	28	force	force	NOUN
brj-23067	143	29	distribution	distribution	NOUN
brj-23067	143	30	related	relate	VERB
brj-23067	143	31	to	to	ADP
brj-23067	143	32	the	the	DET
brj-23067	143	33	steam	steam	NOUN
brj-23067	143	34	and	and	CCONJ
brj-23067	143	35	fiber	fiber	NOUN
brj-23067	143	36	-	-	PUNCT
brj-23067	143	37	to	to	ADP
brj-23067	143	38	-	-	PUNCT
brj-23067	143	39	bar	bar	NOUN
brj-23067	143	40	interaction	interaction	NOUN
brj-23067	143	41	along	along	ADP
brj-23067	143	42	the	the	DET
brj-23067	143	43	radius	radius	NOUN
brj-23067	143	44	of	of	ADP
brj-23067	143	45	the	the	DET
brj-23067	143	46	refining	refining	NOUN
brj-23067	143	47	segments	segment	NOUN
brj-23067	143	48	(	(	PUNCT
brj-23067	143	49	karlström	karlström	NOUN
brj-23067	143	50	and	and	CCONJ
brj-23067	143	51	eriksson	eriksson	PROPN
brj-23067	143	52	2014a	2014a	NUM
brj-23067	143	53	,	,	PUNCT
brj-23067	143	54	b	b	NOUN
brj-23067	143	55	,	,	PUNCT
brj-23067	143	56	c	c	NOUN
brj-23067	143	57	,	,	PUNCT
brj-23067	143	58	d	d	NOUN
brj-23067	143	59	)	)	PUNCT
brj-23067	143	60	.	.	PUNCT
brj-23067	144	1	therefore	therefore	ADV
brj-23067	144	2	,	,	PUNCT
brj-23067	144	3	there	there	PRON
brj-23067	144	4	is	be	VERB
brj-23067	144	5	motivation	motivation	NOUN
brj-23067	144	6	to	to	PART
brj-23067	144	7	analyze	analyze	VERB
brj-23067	144	8	both	both	DET
brj-23067	144	9	specific	specific	ADJ
brj-23067	144	10	energy	energy	NOUN
brj-23067	144	11	as	as	ADV
brj-23067	144	12	well	well	ADV
brj-23067	144	13	as	as	ADP
brj-23067	144	14	the	the	DET
brj-23067	144	15	split	split	NOUN
brj-23067	144	16	between	between	ADP
brj-23067	144	17	motor	motor	NOUN
brj-23067	144	18	load	load	NOUN
brj-23067	144	19	and	and	CCONJ
brj-23067	144	20	production	production	NOUN
brj-23067	144	21	as	as	ADP
brj-23067	144	22	model	model	NOUN
brj-23067	144	23	inputs	input	NOUN
brj-23067	144	24	when	when	SCONJ
brj-23067	144	25	estimating	estimate	VERB
brj-23067	144	26	internal	internal	ADJ
brj-23067	144	27	variables	variable	NOUN
brj-23067	144	28	in	in	ADP
brj-23067	144	29	eq	eq	ADP
brj-23067	144	30	.	.	PROPN
brj-23067	144	31	4	4	X
brj-23067	144	32	.	.	X
brj-23067	144	33	pulp	pulp	NOUN
brj-23067	144	34	property	property	NOUN
brj-23067	144	35	estimation	estimation	NOUN
brj-23067	144	36	in	in	ADP
brj-23067	144	37	data	data	NOUN
brj-23067	144	38	-	-	PUNCT
brj-23067	144	39	driven	drive	VERB
brj-23067	144	40	soft	soft	ADJ
brj-23067	144	41	sensors	sensor	NOUN
brj-23067	144	42	as	as	SCONJ
brj-23067	144	43	shown	show	VERB
brj-23067	144	44	in	in	ADP
brj-23067	144	45	fig	fig	NOUN
brj-23067	144	46	.	.	PUNCT
brj-23067	145	1	5	5	NUM
brj-23067	145	2	,	,	PUNCT
brj-23067	145	3	small	small	ADJ
brj-23067	145	4	data	data	NOUN
brj-23067	145	5	sets	set	NOUN
brj-23067	145	6	can	can	AUX
brj-23067	145	7	be	be	AUX
brj-23067	145	8	sampled	sample	VERB
brj-23067	145	9	before	before	ADP
brj-23067	145	10	the	the	DET
brj-23067	145	11	latency	latency	NOUN
brj-23067	145	12	chest	chest	NOUN
brj-23067	145	13	,	,	PUNCT
brj-23067	145	14	but	but	CCONJ
brj-23067	145	15	such	such	ADJ
brj-23067	145	16	sampling	sampling	NOUN
brj-23067	145	17	procedures	procedure	NOUN
brj-23067	145	18	are	be	AUX
brj-23067	145	19	difficult	difficult	ADJ
brj-23067	145	20	to	to	PART
brj-23067	145	21	perform	perform	VERB
brj-23067	145	22	on	on	ADP
brj-23067	145	23	a	a	DET
brj-23067	145	24	regular	regular	ADJ
brj-23067	145	25	basis	basis	NOUN
brj-23067	145	26	as	as	SCONJ
brj-23067	145	27	they	they	PRON
brj-23067	145	28	are	be	AUX
brj-23067	145	29	based	base	VERB
brj-23067	145	30	on	on	ADP
brj-23067	145	31	tedious	tedious	ADJ
brj-23067	145	32	laboratory	laboratory	NOUN
brj-23067	145	33	-	-	PUNCT
brj-23067	145	34	based	base	VERB
brj-23067	145	35	measurement	measurement	NOUN
brj-23067	145	36	procedures	procedure	NOUN
brj-23067	145	37	.	.	PUNCT
brj-23067	146	1	the	the	DET
brj-23067	146	2	pulp	pulp	NOUN
brj-23067	146	3	samples	sample	NOUN
brj-23067	146	4	become	become	VERB
brj-23067	146	5	a	a	DET
brj-23067	146	6	set	set	NOUN
brj-23067	146	7	of	of	ADP
brj-23067	146	8	under	under	ADV
brj-23067	146	9	-	-	PUNCT
brj-23067	146	10	sampled	sample	VERB
brj-23067	146	11	variables	variable	NOUN
brj-23067	146	12	,	,	PUNCT
brj-23067	146	13	which	which	PRON
brj-23067	146	14	must	must	AUX
brj-23067	146	15	be	be	AUX
brj-23067	146	16	expanded	expand	VERB
brj-23067	146	17	into	into	ADP
brj-23067	146	18	an	an	DET
brj-23067	146	19	oversampled	oversample	VERB
brj-23067	146	20	data	datum	NOUN
brj-23067	146	21	set	set	VERB
brj-23067	146	22	of	of	ADP
brj-23067	146	23	traditional	traditional	ADJ
brj-23067	146	24	process	process	NOUN
brj-23067	146	25	variables	variable	NOUN
brj-23067	146	26	(	(	PUNCT
brj-23067	146	27	normally	normally	ADV
brj-23067	146	28	sampled	sample	VERB
brj-23067	146	29	with	with	ADP
brj-23067	146	30	a	a	DET
brj-23067	146	31	fast	fast	ADV
brj-23067	146	32	-	-	PUNCT
brj-23067	146	33	sampling	sample	VERB
brj-23067	146	34	rate	rate	NOUN
brj-23067	146	35	)	)	PUNCT
brj-23067	146	36	to	to	PART
brj-23067	146	37	obtain	obtain	VERB
brj-23067	146	38	a	a	DET
brj-23067	146	39	common	common	ADJ
brj-23067	146	40	time	time	NOUN
brj-23067	146	41	frame	frame	NOUN
brj-23067	146	42	(	(	PUNCT
brj-23067	146	43	karlström	karlström	NOUN
brj-23067	146	44	et	et	PROPN
brj-23067	146	45	al	al	PROPN
brj-23067	146	46	.	.	PROPN
brj-23067	146	47	2016a	2016a	NUM
brj-23067	146	48	,	,	PUNCT
brj-23067	146	49	b	b	NOUN
brj-23067	146	50	)	)	PUNCT
brj-23067	146	51	.	.	PUNCT
brj-23067	147	1	this	this	PRON
brj-23067	147	2	undermines	undermine	VERB
brj-23067	147	3	the	the	DET
brj-23067	147	4	possibility	possibility	NOUN
brj-23067	147	5	of	of	ADP
brj-23067	147	6	obtaining	obtain	VERB
brj-23067	147	7	enough	enough	ADJ
brj-23067	147	8	data	datum	NOUN
brj-23067	147	9	to	to	PART
brj-23067	147	10	cover	cover	VERB
brj-23067	147	11	the	the	DET
brj-23067	147	12	entire	entire	ADJ
brj-23067	147	13	operating	operating	NOUN
brj-23067	147	14	window	window	NOUN
brj-23067	147	15	over	over	ADP
brj-23067	147	16	the	the	DET
brj-23067	147	17	segment	segment	NOUN
brj-23067	147	18	lifetime	lifetime	NOUN
brj-23067	147	19	.	.	PUNCT
brj-23067	148	1	to	to	PART
brj-23067	148	2	obtain	obtain	VERB
brj-23067	148	3	enough	enough	ADJ
brj-23067	148	4	data	datum	NOUN
brj-23067	148	5	for	for	ADP
brj-23067	148	6	modeling	modeling	NOUN
brj-23067	148	7	purposes	purpose	NOUN
brj-23067	148	8	,	,	PUNCT
brj-23067	148	9	large	large	ADJ
brj-23067	148	10	data	datum	NOUN
brj-23067	148	11	sets	set	NOUN
brj-23067	148	12	spread	spread	VERB
brj-23067	148	13	over	over	ADP
brj-23067	148	14	a	a	DET
brj-23067	148	15	long	long	ADJ
brj-23067	148	16	period	period	NOUN
brj-23067	148	17	must	must	AUX
brj-23067	148	18	be	be	AUX
brj-23067	148	19	available	available	ADJ
brj-23067	148	20	from	from	ADP
brj-23067	148	21	measurement	measurement	NOUN
brj-23067	148	22	devices	device	NOUN
brj-23067	148	23	.	.	PUNCT
brj-23067	149	1	for	for	ADP
brj-23067	149	2	practical	practical	ADJ
brj-23067	149	3	reasons	reason	NOUN
brj-23067	149	4	it	it	PRON
brj-23067	149	5	is	be	AUX
brj-23067	149	6	common	common	ADJ
brj-23067	149	7	that	that	SCONJ
brj-23067	149	8	such	such	ADJ
brj-23067	149	9	measurement	measurement	NOUN
brj-23067	149	10	devices	device	NOUN
brj-23067	149	11	are	be	AUX
brj-23067	149	12	positioned	position	VERB
brj-23067	149	13	after	after	ADP
brj-23067	149	14	the	the	DET
brj-23067	149	15	latency	latency	NOUN
brj-23067	149	16	chest	chest	NOUN
brj-23067	149	17	,	,	PUNCT
brj-23067	149	18	see	see	VERB
brj-23067	149	19	fig	fig	NOUN
brj-23067	149	20	.	.	PUNCT
brj-23067	150	1	5	5	X
brj-23067	150	2	.	.	X
brj-23067	150	3	this	this	DET
brj-23067	150	4	paper	paper	NOUN
brj-23067	150	5	focuses	focus	VERB
brj-23067	150	6	on	on	ADP
brj-23067	150	7	the	the	DET
brj-23067	150	8	estimation	estimation	NOUN
brj-23067	150	9	of	of	ADP
brj-23067	150	10	the	the	DET
brj-23067	150	11	commonly	commonly	ADV
brj-23067	150	12	used	use	VERB
brj-23067	150	13	pulp	pulp	NOUN
brj-23067	150	14	properties	property	NOUN
brj-23067	150	15	,	,	PUNCT
brj-23067	150	16	�	�	PROPN
brj-23067	150	17	̂	̂	NOUN
brj-23067	150	18	�	�	NOUN
brj-23067	150	19	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	NOUN
brj-23067	150	20	=	=	PUNCT
brj-23067	151	1	[	[	X
brj-23067	151	2	�	�	NOUN
brj-23067	151	3	̂	̂	SYM
brj-23067	151	4	�	�	NOUN
brj-23067	151	5	𝑆ℎ𝑖𝑣𝑒𝑠	𝑆ℎ𝑖𝑣𝑒𝑠	PROPN
brj-23067	151	6	,	,	PUNCT
brj-23067	151	7	�	�	PROPN
brj-23067	151	8	̂	̂	NOUN
brj-23067	151	9	�	�	NOUN
brj-23067	151	10	𝐹𝐿	𝐹𝐿	PROPN
brj-23067	151	11	,	,	PUNCT
brj-23067	151	12	�	�	PROPN
brj-23067	151	13	̂	̂	NOUN
brj-23067	151	14	�	�	NOUN
brj-23067	151	15	𝐹𝑟𝑒𝑒𝑛𝑒𝑠𝑠	𝐹𝑟𝑒𝑒𝑛𝑒𝑠𝑠	NOUN
brj-23067	151	16	]	]	PUNCT
brj-23067	151	17	(	(	PUNCT
brj-23067	151	18	5	5	X
brj-23067	151	19	)	)	PUNCT
brj-23067	151	20	peer	peer	NOUN
brj-23067	151	21	-	-	PUNCT
brj-23067	151	22	reviewed	review	VERB
brj-23067	151	23	article	article	NOUN
brj-23067	151	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	151	25	karlström	karlström	PROPN
brj-23067	151	26	et	et	PROPN
brj-23067	151	27	al	al	PROPN
brj-23067	151	28	.	.	PROPN
brj-23067	152	1	(	(	PUNCT
brj-23067	152	2	2024	2024	NUM
brj-23067	152	3	)	)	PUNCT
brj-23067	152	4	.	.	PUNCT
brj-23067	153	1	“	"	PUNCT
brj-23067	153	2	soft	soft	ADJ
brj-23067	153	3	sensors	sensor	NOUN
brj-23067	153	4	in	in	ADP
brj-23067	153	5	refining	refining	NOUN
brj-23067	153	6	,	,	PUNCT
brj-23067	153	7	”	"	PUNCT
brj-23067	153	8	bioresources	bioresource	NOUN
brj-23067	153	9	19(1	19(1	NUM
brj-23067	153	10	)	)	PUNCT
brj-23067	153	11	,	,	PUNCT
brj-23067	153	12	1030	1030	NUM
brj-23067	153	13	-	-	SYM
brj-23067	153	14	1057	1057	NUM
brj-23067	153	15	.	.	PUNCT
brj-23067	153	16	1037	1037	NUM
brj-23067	153	17	where	where	SCONJ
brj-23067	153	18	the	the	DET
brj-23067	153	19	subscripts	subscript	NOUN
brj-23067	153	20	“	"	PUNCT
brj-23067	153	21	shives	shive	NOUN
brj-23067	153	22	,	,	PUNCT
brj-23067	153	23	fl	fl	NOUN
brj-23067	153	24	,	,	PUNCT
brj-23067	153	25	and	and	CCONJ
brj-23067	153	26	freeness	freeness	PROPN
brj-23067	153	27	”	"	PUNCT
brj-23067	153	28	correspond	correspond	PROPN
brj-23067	153	29	to	to	ADP
brj-23067	153	30	shives	shive	NOUN
brj-23067	153	31	(	(	PUNCT
brj-23067	153	32	wide	wide	ADJ
brj-23067	153	33	)	)	PUNCT
brj-23067	153	34	,	,	PUNCT
brj-23067	153	35	fiber	fiber	NOUN
brj-23067	153	36	length	length	NOUN
brj-23067	153	37	,	,	PUNCT
brj-23067	153	38	and	and	CCONJ
brj-23067	153	39	freeness	freeness	PROPN
brj-23067	153	40	.	.	PUNCT
brj-23067	154	1	here	here	ADV
brj-23067	154	2	freeness	freeness	PROPN
brj-23067	154	3	is	be	AUX
brj-23067	154	4	the	the	DET
brj-23067	154	5	total	total	ADJ
brj-23067	154	6	volume	volume	NOUN
brj-23067	154	7	of	of	ADP
brj-23067	154	8	water	water	NOUN
brj-23067	154	9	discharged	discharge	VERB
brj-23067	154	10	from	from	ADP
brj-23067	154	11	a	a	DET
brj-23067	154	12	side	side	NOUN
brj-23067	154	13	orifice	orifice	NOUN
brj-23067	154	14	of	of	ADP
brj-23067	154	15	a	a	DET
brj-23067	154	16	specific	specific	ADJ
brj-23067	154	17	configuration	configuration	NOUN
brj-23067	154	18	while	while	SCONJ
brj-23067	154	19	the	the	DET
brj-23067	154	20	pulp	pulp	NOUN
brj-23067	154	21	suspension	suspension	NOUN
brj-23067	154	22	drains	drain	VERB
brj-23067	154	23	freely	freely	ADV
brj-23067	154	24	under	under	ADP
brj-23067	154	25	gravity	gravity	NOUN
brj-23067	154	26	.	.	PUNCT
brj-23067	155	1	fig	fig	NOUN
brj-23067	155	2	.	.	PUNCT
brj-23067	156	1	5	5	NUM
brj-23067	156	2	.	.	X
brj-23067	156	3	schematic	schematic	ADJ
brj-23067	156	4	drawing	drawing	NOUN
brj-23067	156	5	of	of	ADP
brj-23067	156	6	the	the	DET
brj-23067	156	7	sampling	sample	VERB
brj-23067	156	8	points	point	NOUN
brj-23067	156	9	for	for	ADP
brj-23067	156	10	blow	blow	NOUN
brj-23067	156	11	-	-	PUNCT
brj-23067	156	12	line	line	NOUN
brj-23067	156	13	samples	sample	NOUN
brj-23067	156	14	before	before	ADP
brj-23067	156	15	the	the	DET
brj-23067	156	16	latency	latency	NOUN
brj-23067	156	17	chest	chest	NOUN
brj-23067	156	18	and	and	CCONJ
brj-23067	156	19	the	the	DET
brj-23067	156	20	pulp	pulp	NOUN
brj-23067	156	21	property	property	NOUN
brj-23067	156	22	measurements	measurement	NOUN
brj-23067	156	23	after	after	ADP
brj-23067	156	24	the	the	DET
brj-23067	156	25	latency	latency	NOUN
brj-23067	156	26	chest	chest	PROPN
brj-23067	156	27	fig	fig	NOUN
brj-23067	156	28	.	.	PUNCT
brj-23067	157	1	6	6	NUM
brj-23067	157	2	.	.	NUM
brj-23067	157	3	measured	measure	VERB
brj-23067	157	4	and	and	CCONJ
brj-23067	157	5	filtered	filter	VERB
brj-23067	157	6	pulp	pulp	NOUN
brj-23067	157	7	properties	property	NOUN
brj-23067	157	8	(	(	PUNCT
brj-23067	157	9	a	a	X
brj-23067	157	10	)	)	PUNCT
brj-23067	157	11	shives	shive	NOUN
brj-23067	157	12	(	(	PUNCT
brj-23067	157	13	wide	wide	ADJ
brj-23067	157	14	)	)	PUNCT
brj-23067	157	15	and	and	CCONJ
brj-23067	157	16	b	b	X
brj-23067	157	17	)	)	PUNCT
brj-23067	157	18	fiber	fiber	NOUN
brj-23067	157	19	length	length	NOUN
brj-23067	157	20	)	)	PUNCT
brj-23067	157	21	according	accord	VERB
brj-23067	157	22	to	to	ADP
brj-23067	157	23	a	a	DET
brj-23067	157	24	moving	move	VERB
brj-23067	157	25	average	average	ADJ
brj-23067	157	26	filter	filter	NOUN
brj-23067	157	27	based	base	VERB
brj-23067	157	28	on	on	ADP
brj-23067	157	29	a	a	DET
brj-23067	157	30	horizon	horizon	NOUN
brj-23067	157	31	of	of	ADP
brj-23067	157	32	4000	4000	NUM
brj-23067	157	33	samples	sample	NOUN
brj-23067	157	34	.	.	PUNCT
brj-23067	158	1	the	the	DET
brj-23067	158	2	sampling	sample	VERB
brj-23067	158	3	rate	rate	NOUN
brj-23067	158	4	was	be	AUX
brj-23067	158	5	6	6	NUM
brj-23067	158	6	s.	s.	PROPN
brj-23067	158	7	peer	peer	NOUN
brj-23067	158	8	-	-	PUNCT
brj-23067	158	9	reviewed	review	VERB
brj-23067	158	10	article	article	NOUN
brj-23067	158	11	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	158	12	karlström	karlström	PROPN
brj-23067	158	13	et	et	PROPN
brj-23067	158	14	al	al	PROPN
brj-23067	158	15	.	.	PROPN
brj-23067	159	1	(	(	PUNCT
brj-23067	159	2	2024	2024	NUM
brj-23067	159	3	)	)	PUNCT
brj-23067	159	4	.	.	PUNCT
brj-23067	160	1	“	"	PUNCT
brj-23067	160	2	soft	soft	ADJ
brj-23067	160	3	sensors	sensor	NOUN
brj-23067	160	4	in	in	ADP
brj-23067	160	5	refining	refining	NOUN
brj-23067	160	6	,	,	PUNCT
brj-23067	160	7	”	"	PUNCT
brj-23067	160	8	bioresources	bioresource	NOUN
brj-23067	160	9	19(1	19(1	NUM
brj-23067	160	10	)	)	PUNCT
brj-23067	160	11	,	,	PUNCT
brj-23067	160	12	1030	1030	NUM
brj-23067	160	13	-	-	SYM
brj-23067	160	14	1057	1057	NUM
brj-23067	160	15	.	.	PUNCT
brj-23067	161	1	1038	1038	NUM
brj-23067	161	2	karlström	karlström	NOUN
brj-23067	161	3	et	et	PROPN
brj-23067	161	4	al	al	PROPN
brj-23067	161	5	.	.	PROPN
brj-23067	161	6	(	(	PUNCT
brj-23067	161	7	2015a	2015a	NUM
brj-23067	161	8	,	,	PUNCT
brj-23067	161	9	b	b	NOUN
brj-23067	161	10	,	,	PUNCT
brj-23067	161	11	2022	2022	NUM
brj-23067	161	12	)	)	PUNCT
brj-23067	161	13	highlighted	highlight	VERB
brj-23067	161	14	several	several	ADJ
brj-23067	161	15	obstacles	obstacle	NOUN
brj-23067	161	16	to	to	PART
brj-23067	161	17	overcome	overcome	VERB
brj-23067	161	18	when	when	SCONJ
brj-23067	161	19	preparing	prepare	VERB
brj-23067	161	20	data	datum	NOUN
brj-23067	161	21	for	for	ADP
brj-23067	161	22	modeling	modeling	NOUN
brj-23067	161	23	purposes	purpose	NOUN
brj-23067	161	24	.	.	PUNCT
brj-23067	162	1	some	some	PRON
brj-23067	162	2	of	of	ADP
brj-23067	162	3	them	they	PRON
brj-23067	162	4	are	be	AUX
brj-23067	162	5	related	relate	VERB
brj-23067	162	6	to	to	ADP
brj-23067	162	7	the	the	DET
brj-23067	162	8	absence	absence	NOUN
brj-23067	162	9	of	of	ADP
brj-23067	162	10	relevant	relevant	ADJ
brj-23067	162	11	signals	signal	NOUN
brj-23067	162	12	for	for	ADP
brj-23067	162	13	long	long	ADJ
brj-23067	162	14	periods	period	NOUN
brj-23067	162	15	(	(	PUNCT
brj-23067	162	16	sometimes	sometimes	ADV
brj-23067	162	17	longer	long	ADJ
brj-23067	162	18	than	than	ADP
brj-23067	162	19	3	3	NUM
brj-23067	162	20	h	h	NOUN
brj-23067	162	21	)	)	PUNCT
brj-23067	162	22	.	.	PUNCT
brj-23067	163	1	other	other	ADJ
brj-23067	163	2	complications	complication	NOUN
brj-23067	163	3	are	be	AUX
brj-23067	163	4	associated	associate	VERB
brj-23067	163	5	to	to	ADP
brj-23067	163	6	the	the	DET
brj-23067	163	7	position	position	NOUN
brj-23067	163	8	of	of	ADP
brj-23067	163	9	the	the	DET
brj-23067	163	10	device	device	NOUN
brj-23067	163	11	after	after	ADP
brj-23067	163	12	the	the	DET
brj-23067	163	13	latency	latency	NOUN
brj-23067	163	14	chest	chest	NOUN
brj-23067	163	15	that	that	PRON
brj-23067	163	16	introduces	introduce	VERB
brj-23067	163	17	a	a	DET
brj-23067	163	18	long	long	ADJ
brj-23067	163	19	time	time	NOUN
brj-23067	163	20	constant	constant	ADJ
brj-23067	163	21	(	(	PUNCT
brj-23067	163	22	20	20	NUM
brj-23067	163	23	min	min	NOUN
brj-23067	163	24	)	)	PUNCT
brj-23067	163	25	.	.	PUNCT
brj-23067	164	1	they	they	PRON
brj-23067	164	2	also	also	ADV
brj-23067	164	3	indicated	indicate	VERB
brj-23067	164	4	that	that	SCONJ
brj-23067	164	5	sometimes	sometimes	ADV
brj-23067	164	6	mixing	mix	VERB
brj-23067	164	7	problems	problem	NOUN
brj-23067	164	8	in	in	ADP
brj-23067	164	9	the	the	DET
brj-23067	164	10	chest	chest	NOUN
brj-23067	164	11	can	can	AUX
brj-23067	164	12	be	be	AUX
brj-23067	164	13	a	a	DET
brj-23067	164	14	problem	problem	NOUN
brj-23067	164	15	.	.	PUNCT
brj-23067	165	1	this	this	PRON
brj-23067	165	2	makes	make	VERB
brj-23067	165	3	it	it	PRON
brj-23067	165	4	hard	hard	ADJ
brj-23067	165	5	to	to	PART
brj-23067	165	6	guarantee	guarantee	VERB
brj-23067	165	7	that	that	DET
brj-23067	165	8	pulp	pulp	NOUN
brj-23067	165	9	property	property	NOUN
brj-23067	165	10	variations	variation	NOUN
brj-23067	165	11	,	,	PUNCT
brj-23067	165	12	caused	cause	VERB
brj-23067	165	13	by	by	ADP
brj-23067	165	14	changes	change	NOUN
brj-23067	165	15	in	in	ADP
brj-23067	165	16	the	the	DET
brj-23067	165	17	refining	refining	NOUN
brj-23067	165	18	conditions	condition	NOUN
brj-23067	165	19	,	,	PUNCT
brj-23067	165	20	are	be	AUX
brj-23067	165	21	possible	possible	ADJ
brj-23067	165	22	to	to	PART
brj-23067	165	23	derive	derive	VERB
brj-23067	165	24	properly	properly	ADV
brj-23067	165	25	.	.	PUNCT
brj-23067	166	1	finally	finally	ADV
brj-23067	166	2	,	,	PUNCT
brj-23067	166	3	it	it	PRON
brj-23067	166	4	is	be	AUX
brj-23067	166	5	worth	worth	ADJ
brj-23067	166	6	mentioning	mention	VERB
brj-23067	166	7	that	that	SCONJ
brj-23067	166	8	the	the	DET
brj-23067	166	9	pulp	pulp	NOUN
brj-23067	166	10	property	property	NOUN
brj-23067	166	11	measurement	measurement	NOUN
brj-23067	166	12	device	device	NOUN
brj-23067	166	13	often	often	ADV
brj-23067	166	14	has	have	VERB
brj-23067	166	15	a	a	DET
brj-23067	166	16	non	non	ADJ
brj-23067	166	17	-	-	ADJ
brj-23067	166	18	equidistant	equidistant	ADJ
brj-23067	166	19	sampling	sampling	NOUN
brj-23067	166	20	rate	rate	NOUN
brj-23067	166	21	with	with	ADP
brj-23067	166	22	a	a	DET
brj-23067	166	23	varying	vary	VERB
brj-23067	166	24	interval	interval	NOUN
brj-23067	166	25	of	of	ADP
brj-23067	166	26	15	15	NUM
brj-23067	166	27	to	to	PART
brj-23067	166	28	20	20	NUM
brj-23067	166	29	min	min	NOUN
brj-23067	166	30	,	,	PUNCT
brj-23067	166	31	which	which	PRON
brj-23067	166	32	needs	need	VERB
brj-23067	166	33	to	to	PART
brj-23067	166	34	be	be	AUX
brj-23067	166	35	taken	take	VERB
brj-23067	166	36	into	into	ADP
brj-23067	166	37	consideration	consideration	NOUN
brj-23067	166	38	as	as	ADV
brj-23067	166	39	well	well	ADV
brj-23067	166	40	(	(	PUNCT
brj-23067	166	41	sund	sund	PROPN
brj-23067	166	42	et	et	PROPN
brj-23067	166	43	al	al	PROPN
brj-23067	166	44	.	.	PROPN
brj-23067	166	45	2021	2021	NUM
brj-23067	166	46	)	)	PUNCT
brj-23067	166	47	.	.	PUNCT
brj-23067	167	1	in	in	ADP
brj-23067	167	2	fig	fig	NOUN
brj-23067	167	3	.	.	PUNCT
brj-23067	168	1	6	6	NUM
brj-23067	168	2	,	,	PUNCT
brj-23067	168	3	two	two	NUM
brj-23067	168	4	of	of	ADP
brj-23067	168	5	the	the	DET
brj-23067	168	6	pulp	pulp	NOUN
brj-23067	168	7	properties	property	NOUN
brj-23067	168	8	in	in	ADP
brj-23067	168	9	ypulp	ypulp	PROPN
brj-23067	168	10	(	(	PUNCT
brj-23067	168	11	see	see	VERB
brj-23067	168	12	fig	fig	NOUN
brj-23067	168	13	.	.	PUNCT
brj-23067	169	1	4	4	X
brj-23067	169	2	)	)	PUNCT
brj-23067	169	3	are	be	AUX
brj-23067	169	4	included	include	VERB
brj-23067	169	5	,	,	PUNCT
brj-23067	169	6	and	and	CCONJ
brj-23067	169	7	it	it	PRON
brj-23067	169	8	is	be	AUX
brj-23067	169	9	obvious	obvious	ADJ
brj-23067	169	10	that	that	SCONJ
brj-23067	169	11	the	the	DET
brj-23067	169	12	noisy	noisy	ADJ
brj-23067	169	13	signals	signal	NOUN
brj-23067	169	14	must	must	AUX
brj-23067	169	15	be	be	AUX
brj-23067	169	16	properly	properly	ADV
brj-23067	169	17	analyzed	analyze	VERB
brj-23067	169	18	before	before	ADP
brj-23067	169	19	using	use	VERB
brj-23067	169	20	them	they	PRON
brj-23067	169	21	as	as	ADP
brj-23067	169	22	outputs	output	NOUN
brj-23067	169	23	.	.	PUNCT
brj-23067	170	1	here	here	ADV
brj-23067	170	2	,	,	PUNCT
brj-23067	170	3	filtering	filter	VERB
brj-23067	170	4	of	of	ADP
brj-23067	170	5	the	the	DET
brj-23067	170	6	signals	signal	NOUN
brj-23067	170	7	is	be	AUX
brj-23067	170	8	most	most	ADV
brj-23067	170	9	likely	likely	ADV
brj-23067	170	10	required	require	VERB
brj-23067	170	11	,	,	PUNCT
brj-23067	170	12	which	which	PRON
brj-23067	170	13	can	can	AUX
brj-23067	170	14	be	be	AUX
brj-23067	170	15	performed	perform	VERB
brj-23067	170	16	in	in	ADP
brj-23067	170	17	many	many	ADJ
brj-23067	170	18	ways	way	NOUN
brj-23067	170	19	.	.	PUNCT
brj-23067	171	1	in	in	ADP
brj-23067	171	2	this	this	DET
brj-23067	171	3	paper	paper	NOUN
brj-23067	171	4	,	,	PUNCT
brj-23067	171	5	a	a	DET
brj-23067	171	6	moving	move	VERB
brj-23067	171	7	average	average	ADJ
brj-23067	171	8	filter	filter	NOUN
brj-23067	171	9	was	be	AUX
brj-23067	171	10	used	use	VERB
brj-23067	171	11	(	(	PUNCT
brj-23067	171	12	a	a	DET
brj-23067	171	13	low	low	ADJ
brj-23067	171	14	pass	pass	NOUN
brj-23067	171	15	fir	fir	NOUN
brj-23067	171	16	filter	filter	NOUN
brj-23067	171	17	as	as	SCONJ
brj-23067	171	18	seen	see	VERB
brj-23067	171	19	in	in	ADP
brj-23067	171	20	fig	fig	NOUN
brj-23067	171	21	.	.	PUNCT
brj-23067	172	1	6	6	NUM
brj-23067	172	2	)	)	PUNCT
brj-23067	172	3	,	,	PUNCT
brj-23067	172	4	to	to	PART
brj-23067	172	5	handle	handle	VERB
brj-23067	172	6	the	the	DET
brj-23067	172	7	noisy	noisy	ADJ
brj-23067	172	8	data	datum	NOUN
brj-23067	172	9	.	.	PUNCT
brj-23067	173	1	a	a	DET
brj-23067	173	2	set	set	NOUN
brj-23067	173	3	of	of	ADP
brj-23067	173	4	filters	filter	NOUN
brj-23067	173	5	[	[	X
brj-23067	173	6	2500	2500	NUM
brj-23067	173	7	,	,	PUNCT
brj-23067	173	8	4000	4000	NUM
brj-23067	173	9	,	,	PUNCT
brj-23067	173	10	8000	8000	NUM
brj-23067	173	11	,	,	PUNCT
brj-23067	173	12	10000	10000	NUM
brj-23067	173	13	]	]	PUNCT
brj-23067	173	14	were	be	AUX
brj-23067	173	15	analyzed	analyze	VERB
brj-23067	173	16	.	.	PUNCT
brj-23067	174	1	however	however	ADV
brj-23067	174	2	,	,	PUNCT
brj-23067	174	3	the	the	DET
brj-23067	174	4	main	main	ADJ
brj-23067	174	5	analysis	analysis	NOUN
brj-23067	174	6	was	be	AUX
brj-23067	174	7	performed	perform	VERB
brj-23067	174	8	using	use	VERB
brj-23067	174	9	4000	4000	NUM
brj-23067	174	10	samples	sample	NOUN
brj-23067	174	11	as	as	ADP
brj-23067	174	12	a	a	DET
brj-23067	174	13	reference	reference	NOUN
brj-23067	174	14	,	,	PUNCT
brj-23067	174	15	which	which	PRON
brj-23067	174	16	corresponds	correspond	VERB
brj-23067	174	17	to	to	ADP
brj-23067	174	18	a	a	DET
brj-23067	174	19	time	time	NOUN
brj-23067	174	20	horizon	horizon	NOUN
brj-23067	174	21	of	of	ADP
brj-23067	174	22	about	about	ADV
brj-23067	174	23	7	7	NUM
brj-23067	174	24	h.	h.	NOUN
brj-23067	174	25	criteria	criterion	NOUN
brj-23067	174	26	for	for	ADP
brj-23067	174	27	the	the	DET
brj-23067	174	28	modeling	modeling	NOUN
brj-23067	174	29	procedure	procedure	NOUN
brj-23067	174	30	as	as	ADP
brj-23067	174	31	the	the	DET
brj-23067	174	32	levenberg	levenberg	PROPN
brj-23067	174	33	-	-	PUNCT
brj-23067	174	34	marquardt	marquardt	PROPN
brj-23067	174	35	algorithm	algorithm	PROPN
brj-23067	174	36	can	can	AUX
brj-23067	174	37	end	end	VERB
brj-23067	174	38	up	up	ADP
brj-23067	174	39	finding	find	VERB
brj-23067	174	40	a	a	DET
brj-23067	174	41	local	local	ADJ
brj-23067	174	42	minimum	minimum	NOUN
brj-23067	174	43	,	,	PUNCT
brj-23067	174	44	which	which	PRON
brj-23067	174	45	is	be	AUX
brj-23067	174	46	not	not	PART
brj-23067	174	47	necessarily	necessarily	ADV
brj-23067	174	48	the	the	DET
brj-23067	174	49	global	global	ADJ
brj-23067	174	50	minimum	minimum	NOUN
brj-23067	174	51	,	,	PUNCT
brj-23067	174	52	it	it	PRON
brj-23067	174	53	was	be	AUX
brj-23067	174	54	not	not	PART
brj-23067	174	55	expected	expect	VERB
brj-23067	174	56	to	to	PART
brj-23067	174	57	get	get	VERB
brj-23067	174	58	one	one	NUM
brj-23067	174	59	optimal	optimal	ADJ
brj-23067	174	60	model	model	NOUN
brj-23067	174	61	.	.	PUNCT
brj-23067	175	1	instead	instead	ADV
brj-23067	175	2	,	,	PUNCT
brj-23067	175	3	200	200	NUM
brj-23067	175	4	iterations	iteration	NOUN
brj-23067	175	5	were	be	AUX
brj-23067	175	6	run	run	VERB
brj-23067	175	7	and	and	CCONJ
brj-23067	175	8	the	the	DET
brj-23067	175	9	best	good	ADJ
brj-23067	175	10	models	model	NOUN
brj-23067	175	11	fulfilling	fulfil	VERB
brj-23067	175	12	specific	specific	ADJ
brj-23067	175	13	criteria	criterion	NOUN
brj-23067	175	14	were	be	AUX
brj-23067	175	15	selected	select	VERB
brj-23067	175	16	for	for	ADP
brj-23067	175	17	training	training	NOUN
brj-23067	175	18	(	(	PUNCT
brj-23067	175	19	train	train	NOUN
brj-23067	175	20	)	)	PUNCT
brj-23067	175	21	and	and	CCONJ
brj-23067	175	22	validation	validation	NOUN
brj-23067	175	23	(	(	PUNCT
brj-23067	175	24	val	val	NOUN
brj-23067	175	25	)	)	PUNCT
brj-23067	175	26	sets	set	NOUN
brj-23067	175	27	.	.	PUNCT
brj-23067	176	1	thereby	thereby	ADV
brj-23067	176	2	,	,	PUNCT
brj-23067	176	3	an	an	DET
brj-23067	176	4	ensemble	ensemble	NOUN
brj-23067	176	5	of	of	ADP
brj-23067	176	6	models	model	NOUN
brj-23067	176	7	constituted	constitute	VERB
brj-23067	176	8	the	the	DET
brj-23067	176	9	basis	basis	NOUN
brj-23067	176	10	when	when	SCONJ
brj-23067	176	11	selecting	select	VERB
brj-23067	176	12	the	the	DET
brj-23067	176	13	best	good	ADJ
brj-23067	176	14	structure	structure	NOUN
brj-23067	176	15	.	.	PUNCT
brj-23067	177	1	the	the	DET
brj-23067	177	2	training	training	NOUN
brj-23067	177	3	of	of	ADP
brj-23067	177	4	data	datum	NOUN
brj-23067	177	5	was	be	AUX
brj-23067	177	6	primarily	primarily	ADV
brj-23067	177	7	performed	perform	VERB
brj-23067	177	8	based	base	VERB
brj-23067	177	9	on	on	ADP
brj-23067	177	10	4200	4200	NUM
brj-23067	177	11	h	h	NOUN
brj-23067	177	12	(	(	PUNCT
brj-23067	177	13	70	70	NUM
brj-23067	177	14	%	%	NOUN
brj-23067	177	15	)	)	PUNCT
brj-23067	177	16	of	of	ADP
brj-23067	177	17	the	the	DET
brj-23067	177	18	time	time	NOUN
brj-23067	177	19	series	series	NOUN
brj-23067	177	20	in	in	ADP
brj-23067	177	21	fig	fig	NOUN
brj-23067	177	22	.	.	PUNCT
brj-23067	178	1	6	6	NUM
brj-23067	178	2	,	,	PUNCT
brj-23067	178	3	while	while	SCONJ
brj-23067	178	4	the	the	DET
brj-23067	178	5	rest	rest	NOUN
brj-23067	178	6	,	,	PUNCT
brj-23067	178	7	1800	1800	NUM
brj-23067	178	8	h	h	NOUN
brj-23067	178	9	,	,	PUNCT
brj-23067	178	10	was	be	AUX
brj-23067	178	11	allocated	allocate	VERB
brj-23067	178	12	to	to	ADP
brj-23067	178	13	the	the	DET
brj-23067	178	14	validation	validation	NOUN
brj-23067	178	15	of	of	ADP
brj-23067	178	16	the	the	DET
brj-23067	178	17	models	model	NOUN
brj-23067	178	18	.	.	PUNCT
brj-23067	179	1	additional	additional	ADJ
brj-23067	179	2	information	information	NOUN
brj-23067	179	3	concerning	concern	VERB
brj-23067	179	4	the	the	DET
brj-23067	179	5	potential	potential	ADJ
brj-23067	179	6	input	input	NOUN
brj-23067	179	7	/	/	SYM
brj-23067	179	8	output	output	NOUN
brj-23067	179	9	data	datum	NOUN
brj-23067	179	10	can	can	AUX
brj-23067	179	11	be	be	AUX
brj-23067	179	12	found	find	VERB
brj-23067	179	13	in	in	ADP
brj-23067	179	14	appendix	appendix	ADJ
brj-23067	179	15	a.	a.	NOUN
brj-23067	179	16	to	to	PART
brj-23067	179	17	find	find	VERB
brj-23067	179	18	a	a	DET
brj-23067	179	19	good	good	ADJ
brj-23067	179	20	combination	combination	NOUN
brj-23067	179	21	of	of	ADP
brj-23067	179	22	input	input	NOUN
brj-23067	179	23	candidates	candidate	NOUN
brj-23067	179	24	,	,	PUNCT
brj-23067	179	25	the	the	DET
brj-23067	179	26	coefficient	coefficient	NOUN
brj-23067	179	27	of	of	ADP
brj-23067	179	28	determination	determination	NOUN
brj-23067	179	29	was	be	AUX
brj-23067	179	30	employed	employ	VERB
brj-23067	179	31	,	,	PUNCT
brj-23067	179	32	as	as	SCONJ
brj-23067	179	33	given	give	VERB
brj-23067	179	34	as	as	ADP
brj-23067	179	35	eq	eq	NOUN
brj-23067	179	36	.	.	PROPN
brj-23067	179	37	6	6	NUM
brj-23067	179	38	,	,	PUNCT
brj-23067	179	39	𝑅2	𝑅2	NOUN
brj-23067	179	40	=	=	NOUN
brj-23067	180	1	1	1	NUM
brj-23067	180	2	−	−	NOUN
brj-23067	180	3	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
brj-23067	180	4	−	−	PROPN
brj-23067	180	5	�	�	PROPN
brj-23067	180	6	̂	̂	VERB
brj-23067	180	7	�	�	NOUN
brj-23067	180	8	𝑖	𝑖	NUM
brj-23067	180	9	)	)	PUNCT
brj-23067	180	10	2	2	NUM
brj-23067	180	11	∑(𝑦𝑖	∑(𝑦𝑖	NOUN
brj-23067	180	12	−	−	PROPN
brj-23067	180	13	�	�	PROPN
brj-23067	180	14	̄	̄	NOUN
brj-23067	180	15	�	�	PROPN
brj-23067	180	16	)	)	PUNCT
brj-23067	180	17	2	2	NUM
brj-23067	180	18	𝑖	𝑖	NOUN
brj-23067	180	19	=	=	NOUN
brj-23067	180	20	1	1	NUM
brj-23067	180	21	,	,	PUNCT
brj-23067	180	22	…	…	PUNCT
brj-23067	180	23	,	,	PUNCT
brj-23067	180	24	𝑛	𝑛	X
brj-23067	180	25	(	(	PUNCT
brj-23067	180	26	6	6	NUM
brj-23067	180	27	)	)	PUNCT
brj-23067	180	28	where	where	SCONJ
brj-23067	180	29	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
brj-23067	180	30	−	−	PROPN
brj-23067	180	31	�	�	PROPN
brj-23067	180	32	̂	̂	VERB
brj-23067	180	33	�	�	NOUN
brj-23067	180	34	𝑖	𝑖	SYM
brj-23067	180	35	)	)	PUNCT
brj-23067	180	36	2	2	NUM
brj-23067	180	37	represents	represent	VERB
brj-23067	180	38	the	the	DET
brj-23067	180	39	sum	sum	NOUN
brj-23067	180	40	of	of	ADP
brj-23067	180	41	the	the	DET
brj-23067	180	42	squared	square	VERB
brj-23067	180	43	residuals	residual	NOUN
brj-23067	180	44	from	from	ADP
brj-23067	180	45	the	the	DET
brj-23067	180	46	regression	regression	NOUN
brj-23067	180	47	,	,	PUNCT
brj-23067	180	48	while	while	SCONJ
brj-23067	180	49	∑(𝑦𝑖	∑(𝑦𝑖	PROPN
brj-23067	180	50	−	−	PROPN
brj-23067	180	51	�	�	PROPN
brj-23067	180	52	̄	̄	NOUN
brj-23067	180	53	�	�	PROPN
brj-23067	180	54	)	)	PUNCT
brj-23067	180	55	2denotes	2denotes	NUM
brj-23067	180	56	the	the	DET
brj-23067	180	57	sum	sum	NOUN
brj-23067	180	58	of	of	ADP
brj-23067	180	59	the	the	DET
brj-23067	180	60	squared	square	VERB
brj-23067	180	61	differences	difference	NOUN
brj-23067	180	62	from	from	ADP
brj-23067	180	63	the	the	DET
brj-23067	180	64	mean	mean	NOUN
brj-23067	180	65	of	of	ADP
brj-23067	180	66	the	the	DET
brj-23067	180	67	dependent	dependent	ADJ
brj-23067	180	68	variable	variable	NOUN
brj-23067	180	69	for	for	ADP
brj-23067	180	70	n	n	DET
brj-23067	180	71	observations	observation	NOUN
brj-23067	180	72	(	(	PUNCT
brj-23067	180	73	draper	draper	NOUN
brj-23067	180	74	and	and	CCONJ
brj-23067	180	75	smith	smith	NOUN
brj-23067	180	76	1998	1998	NUM
brj-23067	180	77	)	)	PUNCT
brj-23067	180	78	.	.	PUNCT
brj-23067	181	1	it	it	PRON
brj-23067	181	2	is	be	AUX
brj-23067	181	3	expected	expect	VERB
brj-23067	181	4	for	for	SCONJ
brj-23067	181	5	the	the	DET
brj-23067	181	6	data	data	NOUN
brj-23067	181	7	quality	quality	NOUN
brj-23067	181	8	to	to	PART
brj-23067	181	9	be	be	AUX
brj-23067	181	10	relatively	relatively	ADV
brj-23067	181	11	unreliable	unreliable	ADJ
brj-23067	181	12	;	;	PUNCT
brj-23067	181	13	thus	thus	ADV
brj-23067	181	14	,	,	PUNCT
brj-23067	181	15	the	the	DET
brj-23067	181	16	thresholds	threshold	NOUN
brj-23067	181	17	were	be	AUX
brj-23067	181	18	set	set	VERB
brj-23067	181	19	to	to	PART
brj-23067	181	20	:	:	PUNCT
brj-23067	181	21	𝑅𝑡𝑟𝑎𝑖𝑛	𝑅𝑡𝑟𝑎𝑖𝑛	NOUN
brj-23067	181	22	2	2	NUM
brj-23067	181	23	>	>	SYM
brj-23067	181	24	0.7	0.7	NUM
brj-23067	181	25	&	&	CCONJ
brj-23067	181	26	𝑅𝑣𝑎𝑙	𝑅𝑣𝑎𝑙	PROPN
brj-23067	181	27	2	2	NUM
brj-23067	181	28	>	>	SYM
brj-23067	181	29	0.2	0.2	NUM
brj-23067	181	30	for	for	ADP
brj-23067	181	31	�	�	NOUN
brj-23067	181	32	̂	̂	NOUN
brj-23067	181	33	�	�	PROPN
brj-23067	181	34	𝑖𝑛𝑡	𝑖𝑛𝑡	VERB
brj-23067	181	35	𝑅𝑡𝑟𝑎𝑖𝑛	𝑅𝑡𝑟𝑎𝑖𝑛	NOUN
brj-23067	181	36	2	2	NUM
brj-23067	181	37	>	>	SYM
brj-23067	181	38	0.7	0.7	NUM
brj-23067	181	39	&	&	CCONJ
brj-23067	181	40	𝑅𝑣𝑎𝑙	𝑅𝑣𝑎𝑙	PROPN
brj-23067	181	41	2	2	NUM
brj-23067	181	42	>	>	SYM
brj-23067	181	43	0.5	0.5	NUM
brj-23067	181	44	for	for	ADP
brj-23067	181	45	�	�	NOUN
brj-23067	181	46	̂	̂	SYM
brj-23067	181	47	�	�	NOUN
brj-23067	181	48	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	NOUN
brj-23067	181	49	}	}	PUNCT
brj-23067	181	50	(	(	PUNCT
brj-23067	181	51	7	7	X
brj-23067	181	52	)	)	PUNCT
brj-23067	181	53	the	the	DET
brj-23067	181	54	criteria	criterion	NOUN
brj-23067	181	55	for	for	ADP
brj-23067	181	56	the	the	DET
brj-23067	181	57	validation	validation	NOUN
brj-23067	181	58	sets	set	NOUN
brj-23067	181	59	were	be	AUX
brj-23067	181	60	deliberately	deliberately	ADV
brj-23067	181	61	set	set	VERB
brj-23067	181	62	to	to	PART
brj-23067	181	63	lower	low	ADJ
brj-23067	181	64	values	value	NOUN
brj-23067	181	65	compared	compare	VERB
brj-23067	181	66	with	with	ADP
brj-23067	181	67	the	the	DET
brj-23067	181	68	training	training	NOUN
brj-23067	181	69	sets	set	NOUN
brj-23067	181	70	.	.	PUNCT
brj-23067	182	1	when	when	SCONJ
brj-23067	182	2	it	it	PRON
brj-23067	182	3	comes	come	VERB
brj-23067	182	4	to	to	ADP
brj-23067	182	5	the	the	DET
brj-23067	182	6	estimation	estimation	NOUN
brj-23067	182	7	of	of	ADP
brj-23067	182	8	the	the	DET
brj-23067	182	9	internal	internal	ADJ
brj-23067	182	10	variables	variable	NOUN
brj-23067	182	11	,	,	PUNCT
brj-23067	182	12	the	the	DET
brj-23067	182	13	non	non	ADJ
brj-23067	182	14	-	-	ADJ
brj-23067	182	15	linearity	linearity	ADJ
brj-23067	182	16	effects	effect	NOUN
brj-23067	182	17	in	in	ADP
brj-23067	182	18	both	both	DET
brj-23067	182	19	temperature	temperature	NOUN
brj-23067	182	20	profile	profile	NOUN
brj-23067	182	21	and	and	CCONJ
brj-23067	182	22	the	the	DET
brj-23067	182	23	motor	motor	NOUN
brj-23067	182	24	-	-	PUNCT
brj-23067	182	25	driven	drive	VERB
brj-23067	182	26	soft	soft	ADJ
brj-23067	182	27	sensor	sensor	NOUN
brj-23067	182	28	(	(	PUNCT
brj-23067	182	29	which	which	PRON
brj-23067	182	30	estimates	estimate	VERB
brj-23067	182	31	cfz	cfz	ADV
brj-23067	182	32	and	and	CCONJ
brj-23067	182	33	ccd	ccd	PROPN
brj-23067	182	34	)	)	PUNCT
brj-23067	182	35	can	can	AUX
brj-23067	182	36	be	be	AUX
brj-23067	182	37	considerable	considerable	ADJ
brj-23067	182	38	.	.	PUNCT
brj-23067	183	1	this	this	PRON
brj-23067	183	2	motivates	motivate	VERB
brj-23067	183	3	an	an	DET
brj-23067	183	4	r2	r2	NOUN
brj-23067	183	5	=	=	NOUN
brj-23067	183	6	0.2	0.2	NUM
brj-23067	183	7	for	for	ADP
brj-23067	183	8	the	the	DET
brj-23067	183	9	validation	validation	NOUN
brj-23067	183	10	set	set	NOUN
brj-23067	183	11	,	,	PUNCT
brj-23067	183	12	while	while	SCONJ
brj-23067	183	13	a	a	DET
brj-23067	183	14	slightly	slightly	ADV
brj-23067	183	15	higher	high	ADJ
brj-23067	183	16	value	value	NOUN
brj-23067	183	17	is	be	AUX
brj-23067	183	18	expected	expect	VERB
brj-23067	183	19	(	(	PUNCT
brj-23067	183	20	0.5	0.5	NUM
brj-23067	183	21	)	)	PUNCT
brj-23067	183	22	when	when	SCONJ
brj-23067	183	23	analyzing	analyze	VERB
brj-23067	183	24	the	the	DET
brj-23067	183	25	pulp	pulp	NOUN
brj-23067	183	26	properties	property	NOUN
brj-23067	183	27	.	.	PUNCT
brj-23067	184	1	peer	peer	NOUN
brj-23067	184	2	-	-	PUNCT
brj-23067	184	3	reviewed	review	VERB
brj-23067	184	4	article	article	NOUN
brj-23067	184	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	184	6	karlström	karlström	PROPN
brj-23067	184	7	et	et	PROPN
brj-23067	184	8	al	al	PROPN
brj-23067	184	9	.	.	PROPN
brj-23067	185	1	(	(	PUNCT
brj-23067	185	2	2024	2024	NUM
brj-23067	185	3	)	)	PUNCT
brj-23067	185	4	.	.	PUNCT
brj-23067	186	1	“	"	PUNCT
brj-23067	186	2	soft	soft	ADJ
brj-23067	186	3	sensors	sensor	NOUN
brj-23067	186	4	in	in	ADP
brj-23067	186	5	refining	refining	NOUN
brj-23067	186	6	,	,	PUNCT
brj-23067	186	7	”	"	PUNCT
brj-23067	186	8	bioresources	bioresource	NOUN
brj-23067	186	9	19(1	19(1	NUM
brj-23067	186	10	)	)	PUNCT
brj-23067	186	11	,	,	PUNCT
brj-23067	186	12	1030	1030	NUM
brj-23067	186	13	-	-	SYM
brj-23067	186	14	1057	1057	NUM
brj-23067	186	15	.	.	PUNCT
brj-23067	186	16	1039	1039	NUM
brj-23067	186	17	because	because	SCONJ
brj-23067	186	18	the	the	DET
brj-23067	186	19	criteria	criterion	NOUN
brj-23067	186	20	in	in	ADP
brj-23067	186	21	eq	eq	NOUN
brj-23067	186	22	.	.	PROPN
brj-23067	186	23	7	7	NUM
brj-23067	186	24	was	be	AUX
brj-23067	186	25	used	use	VERB
brj-23067	186	26	as	as	ADP
brj-23067	186	27	a	a	DET
brj-23067	186	28	first	first	ADJ
brj-23067	186	29	requirement	requirement	NOUN
brj-23067	186	30	to	to	PART
brj-23067	186	31	fulfill	fulfill	VERB
brj-23067	186	32	the	the	DET
brj-23067	186	33	thresholds	threshold	NOUN
brj-23067	186	34	,	,	PUNCT
brj-23067	186	35	a	a	DET
brj-23067	186	36	selection	selection	NOUN
brj-23067	186	37	procedure	procedure	NOUN
brj-23067	186	38	was	be	AUX
brj-23067	186	39	introduced	introduce	VERB
brj-23067	186	40	based	base	VERB
brj-23067	186	41	on	on	ADP
brj-23067	186	42	the	the	DET
brj-23067	186	43	weights	weight	NOUN
brj-23067	186	44	of	of	ADP
brj-23067	186	45	the	the	DET
brj-23067	186	46	obtained	obtain	VERB
brj-23067	186	47	models	model	NOUN
brj-23067	186	48	in	in	ADP
brj-23067	186	49	each	each	PRON
brj-23067	186	50	ensemble	ensemble	ADJ
brj-23067	186	51	i	i	NOUN
brj-23067	186	52	=	=	SYM
brj-23067	186	53	1,	1,	NUM
brj-23067	186	54	..	..	PUNCT
brj-23067	186	55	,n	,n	PUNCT
brj-23067	186	56	to	to	PART
brj-23067	186	57	find	find	VERB
brj-23067	186	58	a	a	DET
brj-23067	186	59	proper	proper	ADJ
brj-23067	186	60	estimate	estimate	NOUN
brj-23067	186	61	.	.	PUNCT
brj-23067	187	1	this	this	PRON
brj-23067	187	2	was	be	AUX
brj-23067	187	3	performed	perform	VERB
brj-23067	187	4	by	by	ADP
brj-23067	187	5	using	use	VERB
brj-23067	187	6	the	the	DET
brj-23067	187	7	obtained	obtain	VERB
brj-23067	187	8	r2vector	r2vector	NOUN
brj-23067	187	9	according	accord	VERB
brj-23067	187	10	to	to	ADP
brj-23067	187	11	j	j	PROPN
brj-23067	187	12	=	=	SYM
brj-23067	187	13	1	1	NUM
brj-23067	187	14	;	;	PUNCT
brj-23067	187	15	the	the	DET
brj-23067	187	16	training	training	NOUN
brj-23067	187	17	set	set	NOUN
brj-23067	187	18	,	,	PUNCT
brj-23067	187	19	j	j	PROPN
brj-23067	187	20	=	=	PROPN
brj-23067	187	21	2	2	NUM
brj-23067	187	22	;	;	PUNCT
brj-23067	187	23	the	the	DET
brj-23067	187	24	validation	validation	NOUN
brj-23067	187	25	set	set	NOUN
brj-23067	187	26	or	or	CCONJ
brj-23067	187	27	j	j	NOUN
brj-23067	187	28	=	=	SYM
brj-23067	187	29	3	3	NUM
brj-23067	187	30	;	;	PUNCT
brj-23067	187	31	and	and	CCONJ
brj-23067	187	32	the	the	DET
brj-23067	187	33	hypotenuse	hypotenuse	NOUN
brj-23067	187	34	of	of	ADP
brj-23067	187	35	the	the	DET
brj-23067	187	36	two	two	NUM
brj-23067	187	37	,	,	PUNCT
brj-23067	187	38	which	which	PRON
brj-23067	187	39	is	be	AUX
brj-23067	187	40	given	give	VERB
brj-23067	187	41	as	as	ADP
brj-23067	187	42	eq	eq	NOUN
brj-23067	187	43	.	.	PROPN
brj-23067	187	44	8	8	NUM
brj-23067	187	45	:	:	PUNCT
brj-23067	188	1	𝛹𝑖𝑗	𝛹𝑖𝑗	NOUN
brj-23067	188	2	=	=	PUNCT
brj-23067	188	3	𝑅𝑖𝑗	𝑅𝑖𝑗	PROPN
brj-23067	188	4	2	2	NUM
brj-23067	188	5	/∑𝑅𝑖𝑗	/∑𝑅𝑖𝑗	SYM
brj-23067	188	6	2	2	NUM
brj-23067	188	7	𝑖	𝑖	SYM
brj-23067	188	8	�	�	NOUN
brj-23067	188	9	̂	̂	VERB
brj-23067	188	10	�	�	NOUN
brj-23067	188	11	𝑗	𝑗	NOUN
brj-23067	188	12	=	=	ADJ
brj-23067	188	13	∑𝛹𝑖𝑗	∑𝛹𝑖𝑗	PROPN
brj-23067	188	14	�	�	PROPN
brj-23067	188	15	̂	̂	NOUN
brj-23067	188	16	�	�	PROPN
brj-23067	188	17	𝑖𝑗	𝑖𝑗	NOUN
brj-23067	188	18	𝑖	𝑖	NOUN
brj-23067	188	19	}	}	PUNCT
brj-23067	188	20	𝑖	𝑖	NOUN
brj-23067	188	21	=	=	NOUN
brj-23067	188	22	1	1	NUM
brj-23067	188	23	,	,	PUNCT
brj-23067	188	24	…	…	PUNCT
brj-23067	188	25	,	,	PUNCT
brj-23067	188	26	𝑛	𝑛	NOUN
brj-23067	188	27	;	;	PUNCT
brj-23067	188	28	𝑗	𝑗	PROPN
brj-23067	188	29	=	=	SYM
brj-23067	188	30	1,2,3	1,2,3	NUM
brj-23067	188	31	(	(	PUNCT
brj-23067	188	32	8)	8)	NUM
brj-23067	188	33	results	result	NOUN
brj-23067	188	34	and	and	CCONJ
brj-23067	188	35	discussion	discussion	NOUN
brj-23067	188	36	this	this	DET
brj-23067	188	37	section	section	NOUN
brj-23067	188	38	is	be	AUX
brj-23067	188	39	divided	divide	VERB
brj-23067	188	40	in	in	ADP
brj-23067	188	41	two	two	NUM
brj-23067	188	42	subsections	subsection	NOUN
brj-23067	188	43	covering	cover	VERB
brj-23067	188	44	the	the	DET
brj-23067	188	45	results	result	NOUN
brj-23067	188	46	obtained	obtain	VERB
brj-23067	188	47	when	when	SCONJ
brj-23067	188	48	applying	apply	VERB
brj-23067	188	49	the	the	DET
brj-23067	188	50	approach	approach	NOUN
brj-23067	188	51	described	describe	VERB
brj-23067	188	52	above	above	ADV
brj-23067	188	53	to	to	PART
brj-23067	188	54	estimate	estimate	VERB
brj-23067	188	55	the	the	DET
brj-23067	188	56	internal	internal	ADJ
brj-23067	188	57	variables	variable	NOUN
brj-23067	188	58	�	�	PROPN
brj-23067	188	59	̂	̂	VERB
brj-23067	188	60	�	�	NOUN
brj-23067	188	61	𝑖𝑛𝑡	𝑖𝑛𝑡	VERB
brj-23067	188	62	in	in	ADP
brj-23067	188	63	eq	eq	ADP
brj-23067	188	64	.	.	PROPN
brj-23067	188	65	4	4	NUM
brj-23067	188	66	and	and	CCONJ
brj-23067	188	67	the	the	DET
brj-23067	188	68	pulp	pulp	NOUN
brj-23067	188	69	properties	property	NOUN
brj-23067	188	70	�	�	NOUN
brj-23067	188	71	̂	̂	NOUN
brj-23067	188	72	�	�	NOUN
brj-23067	188	73	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	NOUN
brj-23067	188	74	in	in	ADP
brj-23067	188	75	eq	eq	ADP
brj-23067	188	76	.	.	PROPN
brj-23067	188	77	5	5	NUM
brj-23067	188	78	.	.	X
brj-23067	189	1	therefore	therefore	ADV
brj-23067	189	2	,	,	PUNCT
brj-23067	189	3	the	the	DET
brj-23067	189	4	set	set	NOUN
brj-23067	189	5	of	of	ADP
brj-23067	189	6	independent	independent	ADJ
brj-23067	189	7	input	input	NOUN
brj-23067	189	8	candidates	candidate	NOUN
brj-23067	189	9	interesting	interesting	ADJ
brj-23067	189	10	to	to	PART
brj-23067	189	11	use	use	VERB
brj-23067	189	12	will	will	AUX
brj-23067	189	13	differ	differ	VERB
brj-23067	189	14	from	from	ADP
brj-23067	189	15	each	each	DET
brj-23067	189	16	other	other	ADJ
brj-23067	189	17	.	.	PUNCT
brj-23067	190	1	some	some	PRON
brj-23067	190	2	of	of	ADP
brj-23067	190	3	the	the	DET
brj-23067	190	4	most	most	ADV
brj-23067	190	5	important	important	ADJ
brj-23067	190	6	input	input	NOUN
brj-23067	190	7	candidates	candidate	NOUN
brj-23067	190	8	are	be	AUX
brj-23067	190	9	given	give	VERB
brj-23067	190	10	as	as	ADP
brj-23067	190	11	time	time	NOUN
brj-23067	190	12	series	series	NOUN
brj-23067	190	13	in	in	ADP
brj-23067	190	14	appendix	appendix	PROPN
brj-23067	190	15	a	a	PRON
brj-23067	190	16	,	,	PUNCT
brj-23067	190	17	to	to	PART
brj-23067	190	18	“	"	PUNCT
brj-23067	190	19	assure	assure	VERB
brj-23067	190	20	visually	visually	ADV
brj-23067	190	21	”	"	PUNCT
brj-23067	190	22	that	that	SCONJ
brj-23067	190	23	the	the	DET
brj-23067	190	24	excitation	excitation	NOUN
brj-23067	190	25	levels	level	NOUN
brj-23067	190	26	in	in	ADP
brj-23067	190	27	the	the	DET
brj-23067	190	28	inputs	input	NOUN
brj-23067	190	29	are	be	AUX
brj-23067	190	30	large	large	ADJ
brj-23067	190	31	enough	enough	ADV
brj-23067	190	32	to	to	PART
brj-23067	190	33	contribute	contribute	VERB
brj-23067	190	34	to	to	ADP
brj-23067	190	35	the	the	DET
brj-23067	190	36	expected	expect	VERB
brj-23067	190	37	changes	change	NOUN
brj-23067	190	38	in	in	ADP
brj-23067	190	39	the	the	DET
brj-23067	190	40	selected	select	VERB
brj-23067	190	41	outputs	output	NOUN
brj-23067	190	42	.	.	PUNCT
brj-23067	191	1	estimation	estimation	NOUN
brj-23067	191	2	of	of	ADP
brj-23067	191	3	internal	internal	ADJ
brj-23067	191	4	variables	variable	NOUN
brj-23067	191	5	in	in	ADP
brj-23067	191	6	data	data	NOUN
brj-23067	191	7	-	-	PUNCT
brj-23067	191	8	driven	drive	VERB
brj-23067	191	9	soft	soft	ADJ
brj-23067	191	10	sensors	sensor	NOUN
brj-23067	191	11	when	when	SCONJ
brj-23067	191	12	the	the	DET
brj-23067	191	13	internal	internal	ADJ
brj-23067	191	14	variables	variable	NOUN
brj-23067	191	15	in	in	ADP
brj-23067	191	16	fz	fz	PROPN
brj-23067	191	17	are	be	AUX
brj-23067	191	18	analyzed	analyze	VERB
brj-23067	191	19	,	,	PUNCT
brj-23067	191	20	the	the	DET
brj-23067	191	21	external	external	ADJ
brj-23067	191	22	variables	variable	NOUN
brj-23067	191	23	will	will	AUX
brj-23067	191	24	be	be	AUX
brj-23067	191	25	in	in	ADP
brj-23067	191	26	focus	focus	NOUN
brj-23067	191	27	as	as	ADP
brj-23067	191	28	inputs	input	NOUN
brj-23067	191	29	,	,	PUNCT
brj-23067	191	30	while	while	SCONJ
brj-23067	191	31	a	a	DET
brj-23067	191	32	mix	mix	NOUN
brj-23067	191	33	of	of	ADP
brj-23067	191	34	external	external	ADJ
brj-23067	191	35	and	and	CCONJ
brj-23067	191	36	internal	internal	ADJ
brj-23067	191	37	variables	variable	NOUN
brj-23067	191	38	will	will	AUX
brj-23067	191	39	be	be	AUX
brj-23067	191	40	used	use	VERB
brj-23067	191	41	when	when	SCONJ
brj-23067	191	42	analyzing	analyze	VERB
brj-23067	191	43	the	the	DET
brj-23067	191	44	internal	internal	ADJ
brj-23067	191	45	variables	variable	NOUN
brj-23067	191	46	in	in	ADP
brj-23067	191	47	cd	cd	PROPN
brj-23067	191	48	as	as	ADV
brj-23067	191	49	well	well	ADV
brj-23067	191	50	as	as	ADP
brj-23067	191	51	the	the	DET
brj-23067	191	52	pulp	pulp	NOUN
brj-23067	191	53	properties	property	NOUN
brj-23067	191	54	.	.	PUNCT
brj-23067	192	1	this	this	PRON
brj-23067	192	2	is	be	AUX
brj-23067	192	3	motivated	motivate	VERB
brj-23067	192	4	from	from	ADP
brj-23067	192	5	a	a	DET
brj-23067	192	6	causality	causality	NOUN
brj-23067	192	7	perspective	perspective	NOUN
brj-23067	192	8	,	,	PUNCT
brj-23067	192	9	as	as	SCONJ
brj-23067	192	10	all	all	DET
brj-23067	192	11	internal	internal	ADJ
brj-23067	192	12	variables	variable	NOUN
brj-23067	192	13	in	in	ADP
brj-23067	192	14	fz	fz	NUM
brj-23067	192	15	are	be	AUX
brj-23067	192	16	a	a	DET
brj-23067	192	17	consequence	consequence	NOUN
brj-23067	192	18	of	of	ADP
brj-23067	192	19	the	the	DET
brj-23067	192	20	external	external	ADJ
brj-23067	192	21	variables	variable	NOUN
brj-23067	192	22	,	,	PUNCT
brj-23067	192	23	while	while	SCONJ
brj-23067	192	24	both	both	CCONJ
brj-23067	192	25	the	the	DET
brj-23067	192	26	external	external	ADJ
brj-23067	192	27	and	and	CCONJ
brj-23067	192	28	the	the	DET
brj-23067	192	29	internal	internal	ADJ
brj-23067	192	30	variables	variable	NOUN
brj-23067	192	31	in	in	ADP
brj-23067	192	32	fz	fz	NUM
brj-23067	192	33	might	might	AUX
brj-23067	192	34	affect	affect	VERB
brj-23067	192	35	the	the	DET
brj-23067	192	36	predictions	prediction	NOUN
brj-23067	192	37	in	in	ADP
brj-23067	192	38	the	the	DET
brj-23067	192	39	cd	cd	PROPN
brj-23067	192	40	-	-	PUNCT
brj-23067	192	41	zone	zone	NOUN
brj-23067	192	42	,	,	PUNCT
brj-23067	192	43	but	but	CCONJ
brj-23067	192	44	not	not	PART
brj-23067	192	45	vice	vice	ADV
brj-23067	192	46	versa	versa	ADV
brj-23067	192	47	.	.	PUNCT
brj-23067	193	1	to	to	PART
brj-23067	193	2	analyze	analyze	VERB
brj-23067	193	3	the	the	DET
brj-23067	193	4	internal	internal	ADJ
brj-23067	193	5	variables	variable	NOUN
brj-23067	193	6	in	in	ADP
brj-23067	193	7	�	�	PROPN
brj-23067	193	8	̂	̂	NOUN
brj-23067	193	9	�	�	NOUN
brj-23067	193	10	𝑖𝑛𝑡	𝑖𝑛𝑡	VERB
brj-23067	193	11	in	in	ADP
brj-23067	193	12	eq	eq	ADP
brj-23067	193	13	.	.	PROPN
brj-23067	193	14	4	4	NUM
brj-23067	193	15	,	,	PUNCT
brj-23067	193	16	the	the	DET
brj-23067	193	17	goal	goal	NOUN
brj-23067	193	18	is	be	AUX
brj-23067	193	19	to	to	PART
brj-23067	193	20	find	find	VERB
brj-23067	193	21	an	an	DET
brj-23067	193	22	appropriate	appropriate	ADJ
brj-23067	193	23	combination	combination	NOUN
brj-23067	193	24	of	of	ADP
brj-23067	193	25	inputs	input	NOUN
brj-23067	193	26	.	.	PUNCT
brj-23067	194	1	according	accord	VERB
brj-23067	194	2	to	to	ADP
brj-23067	194	3	the	the	DET
brj-23067	194	4	combinations	combination	NOUN
brj-23067	194	5	in	in	ADP
brj-23067	194	6	table	table	NOUN
brj-23067	194	7	1	1	NUM
brj-23067	194	8	,	,	PUNCT
brj-23067	194	9	the	the	DET
brj-23067	194	10	inputs	input	NOUN
brj-23067	194	11	describing	describing	NOUN
brj-23067	194	12	fz	fz	NOUN
brj-23067	194	13	,	,	PUNCT
brj-23067	194	14	will	will	AUX
brj-23067	194	15	be	be	AUX
brj-23067	194	16	based	base	VERB
brj-23067	194	17	on	on	ADP
brj-23067	194	18	external	external	ADJ
brj-23067	194	19	variables	variable	NOUN
brj-23067	194	20	such	such	ADJ
brj-23067	194	21	as	as	ADP
brj-23067	194	22	specific	specific	ADJ
brj-23067	194	23	energy	energy	NOUN
brj-23067	194	24	,	,	PUNCT
brj-23067	194	25	motor	motor	NOUN
brj-23067	194	26	load	load	NOUN
brj-23067	194	27	,	,	PUNCT
brj-23067	194	28	production	production	NOUN
brj-23067	194	29	,	,	PUNCT
brj-23067	194	30	the	the	DET
brj-23067	194	31	dilution	dilution	NOUN
brj-23067	194	32	water	water	NOUN
brj-23067	194	33	added	add	VERB
brj-23067	194	34	,	,	PUNCT
brj-23067	194	35	and	and	CCONJ
brj-23067	194	36	the	the	DET
brj-23067	194	37	amount	amount	NOUN
brj-23067	194	38	of	of	ADP
brj-23067	194	39	sawmill	sawmill	NOUN
brj-23067	194	40	chips	chip	NOUN
brj-23067	194	41	to	to	ADP
brj-23067	194	42	the	the	DET
brj-23067	194	43	refiner	refiner	NOUN
brj-23067	194	44	.	.	PUNCT
brj-23067	195	1	as	as	SCONJ
brj-23067	195	2	can	can	AUX
brj-23067	195	3	be	be	AUX
brj-23067	195	4	seen	see	VERB
brj-23067	195	5	in	in	ADP
brj-23067	195	6	table	table	NOUN
brj-23067	195	7	1	1	NUM
brj-23067	195	8	,	,	PUNCT
brj-23067	195	9	it	it	PRON
brj-23067	195	10	is	be	AUX
brj-23067	195	11	obvious	obvious	ADJ
brj-23067	195	12	from	from	ADP
brj-23067	195	13	a	a	DET
brj-23067	195	14	vif	vif	NOUN
brj-23067	195	15	-	-	NOUN
brj-23067	195	16	perspective	perspective	NOUN
brj-23067	195	17	that	that	PRON
brj-23067	195	18	case	case	NOUN
brj-23067	195	19	b	b	NOUN
brj-23067	195	20	through	through	ADP
brj-23067	195	21	case	case	NOUN
brj-23067	195	22	e	e	NOUN
brj-23067	195	23	provides	provide	VERB
brj-23067	195	24	good	good	ADJ
brj-23067	195	25	candidates	candidate	NOUN
brj-23067	195	26	to	to	ADP
brj-23067	195	27	the	the	DET
brj-23067	195	28	input	input	NOUN
brj-23067	195	29	matrix	matrix	NOUN
brj-23067	195	30	xext	xext	NOUN
brj-23067	195	31	,	,	PUNCT
brj-23067	195	32	while	while	SCONJ
brj-23067	195	33	case	case	NOUN
brj-23067	195	34	a	a	PRON
brj-23067	195	35	has	have	AUX
brj-23067	195	36	been	be	AUX
brj-23067	195	37	included	include	VERB
brj-23067	195	38	only	only	ADV
brj-23067	195	39	to	to	PART
brj-23067	195	40	show	show	VERB
brj-23067	195	41	the	the	DET
brj-23067	195	42	colinear	colinear	ADJ
brj-23067	195	43	effects	effect	NOUN
brj-23067	195	44	.	.	PUNCT
brj-23067	196	1	table	table	NOUN
brj-23067	196	2	1	1	NUM
brj-23067	196	3	.	.	X
brj-23067	196	4	variance	variance	NOUN
brj-23067	196	5	inflated	inflate	VERB
brj-23067	196	6	factors	factor	NOUN
brj-23067	196	7	for	for	ADP
brj-23067	196	8	the	the	DET
brj-23067	196	9	different	different	ADJ
brj-23067	196	10	model	model	NOUN
brj-23067	196	11	inputs	input	NOUN
brj-23067	196	12	variance	variance	NOUN
brj-23067	196	13	inflation	inflation	NOUN
brj-23067	196	14	factors	factor	VERB
brj-23067	196	15	external	external	ADJ
brj-23067	196	16	variables	variable	NOUN
brj-23067	196	17	case	case	NOUN
brj-23067	196	18	spe	spe	INTJ
brj-23067	196	19	mload	mload	INTJ
brj-23067	196	20	prod	prod	VERB
brj-23067	196	21	sawmill	sawmill	NOUN
brj-23067	196	22	dilwfz	dilwfz	PROPN
brj-23067	196	23	gapfz	gapfz	NOUN
brj-23067	196	24	a	a	DET
brj-23067	196	25	37	37	NUM
brj-23067	196	26	49	49	NUM
brj-23067	196	27	54	54	NUM
brj-23067	196	28	1	1	NUM
brj-23067	196	29	b	b	SYM
brj-23067	196	30	1	1	NUM
brj-23067	196	31	1	1	NUM
brj-23067	196	32	c	c	NOUN
brj-23067	196	33	2	2	NUM
brj-23067	196	34	2	2	NUM
brj-23067	196	35	1	1	NUM
brj-23067	196	36	d	d	SYM
brj-23067	196	37	2	2	NUM
brj-23067	196	38	3	3	NUM
brj-23067	196	39	1	1	NUM
brj-23067	196	40	2	2	NUM
brj-23067	196	41	e	e	NOUN
brj-23067	196	42	2	2	NUM
brj-23067	196	43	3	3	NUM
brj-23067	196	44	1	1	NUM
brj-23067	196	45	2	2	NUM
brj-23067	196	46	1	1	NUM
brj-23067	196	47	notes	note	NOUN
brj-23067	196	48	:	:	PUNCT
brj-23067	196	49	spe	spe	PROPN
brj-23067	196	50	=	=	PUNCT
brj-23067	196	51	specific	specific	ADJ
brj-23067	196	52	energy	energy	NOUN
brj-23067	196	53	;	;	PUNCT
brj-23067	196	54	mload	mload	NOUN
brj-23067	196	55	=	=	NOUN
brj-23067	196	56	motor	motor	NOUN
brj-23067	196	57	load	load	NOUN
brj-23067	196	58	,	,	PUNCT
brj-23067	196	59	prod	prod	NOUN
brj-23067	196	60	=	=	SYM
brj-23067	196	61	production	production	NOUN
brj-23067	196	62	,	,	PUNCT
brj-23067	196	63	sawmill	sawmill	NOUN
brj-23067	196	64	=	=	NOUN
brj-23067	196	65	percentage	percentage	NOUN
brj-23067	196	66	of	of	ADP
brj-23067	196	67	sawmill	sawmill	NOUN
brj-23067	196	68	chips	chip	NOUN
brj-23067	196	69	to	to	PART
brj-23067	196	70	refiner	refiner	VERB
brj-23067	196	71	,	,	PUNCT
brj-23067	196	72	dilwfz	dilwfz	NOUN
brj-23067	196	73	=	=	SYM
brj-23067	196	74	dilution	dilution	NOUN
brj-23067	196	75	water	water	NOUN
brj-23067	196	76	to	to	ADP
brj-23067	196	77	fz	fz	NOUN
brj-23067	196	78	,	,	PUNCT
brj-23067	196	79	gapfz	gapfz	NOUN
brj-23067	196	80	=	=	SYM
brj-23067	196	81	distance	distance	NOUN
brj-23067	196	82	between	between	ADP
brj-23067	196	83	refining	refining	NOUN
brj-23067	196	84	segments	segment	NOUN
brj-23067	196	85	in	in	ADP
brj-23067	196	86	fz	fz	ADJ
brj-23067	196	87	peer	peer	NOUN
brj-23067	196	88	-	-	PUNCT
brj-23067	196	89	reviewed	review	VERB
brj-23067	196	90	article	article	NOUN
brj-23067	196	91	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	196	92	karlström	karlström	PROPN
brj-23067	196	93	et	et	PROPN
brj-23067	196	94	al	al	PROPN
brj-23067	196	95	.	.	PROPN
brj-23067	196	96	(	(	PUNCT
brj-23067	196	97	2024	2024	NUM
brj-23067	196	98	)	)	PUNCT
brj-23067	196	99	.	.	PUNCT
brj-23067	197	1	“	"	PUNCT
brj-23067	197	2	soft	soft	ADJ
brj-23067	197	3	sensors	sensor	NOUN
brj-23067	197	4	in	in	ADP
brj-23067	197	5	refining	refining	NOUN
brj-23067	197	6	,	,	PUNCT
brj-23067	197	7	”	"	PUNCT
brj-23067	197	8	bioresources	bioresource	NOUN
brj-23067	197	9	19(1	19(1	NUM
brj-23067	197	10	)	)	PUNCT
brj-23067	197	11	,	,	PUNCT
brj-23067	197	12	1030	1030	NUM
brj-23067	197	13	-	-	SYM
brj-23067	197	14	1057	1057	NUM
brj-23067	197	15	.	.	PUNCT
brj-23067	198	1	1040	1040	NUM
brj-23067	198	2	the	the	DET
brj-23067	198	3	maximum	maximum	ADJ
brj-23067	198	4	temperature	temperature	NOUN
brj-23067	198	5	in	in	ADP
brj-23067	198	6	fz	fz	PROPN
brj-23067	198	7	(	(	PUNCT
brj-23067	198	8	tmaxfz	tmaxfz	PROPN
brj-23067	198	9	)	)	PUNCT
brj-23067	198	10	as	as	SCONJ
brj-23067	198	11	shown	show	VERB
brj-23067	198	12	in	in	ADP
brj-23067	198	13	fig	fig	NOUN
brj-23067	198	14	.	.	PUNCT
brj-23067	199	1	7	7	NUM
brj-23067	199	2	,	,	PUNCT
brj-23067	199	3	which	which	PRON
brj-23067	199	4	shows	show	VERB
brj-23067	199	5	the	the	DET
brj-23067	199	6	r2	r2	PROPN
brj-23067	199	7	for	for	ADP
brj-23067	199	8	the	the	DET
brj-23067	199	9	validation	validation	NOUN
brj-23067	199	10	data	datum	NOUN
brj-23067	199	11	versus	versus	ADP
brj-23067	199	12	the	the	DET
brj-23067	199	13	r2	r2	NOUN
brj-23067	199	14	for	for	ADP
brj-23067	199	15	the	the	DET
brj-23067	199	16	training	training	NOUN
brj-23067	199	17	data	datum	NOUN
brj-23067	199	18	,	,	PUNCT
brj-23067	199	19	the	the	DET
brj-23067	199	20	ann	ann	PROPN
brj-23067	199	21	can	can	AUX
brj-23067	199	22	not	not	PART
brj-23067	199	23	provide	provide	VERB
brj-23067	199	24	good	good	ADJ
brj-23067	199	25	models	model	NOUN
brj-23067	199	26	when	when	SCONJ
brj-23067	199	27	using	use	VERB
brj-23067	199	28	the	the	DET
brj-23067	199	29	input	input	NOUN
brj-23067	199	30	data	datum	NOUN
brj-23067	199	31	from	from	ADP
brj-23067	199	32	case	case	NOUN
brj-23067	199	33	b.	b.	PROPN
brj-23067	199	34	fig	fig	PROPN
brj-23067	199	35	.	.	PUNCT
brj-23067	200	1	7	7	X
brj-23067	200	2	.	.	PUNCT
brj-23067	200	3	estimated	estimate	VERB
brj-23067	200	4	r2	r2	PROPN
brj-23067	200	5	for	for	ADP
brj-23067	200	6	tmaxfz	tmaxfz	NOUN
brj-23067	200	7	using	use	VERB
brj-23067	200	8	the	the	DET
brj-23067	200	9	approach	approach	NOUN
brj-23067	200	10	based	base	VERB
brj-23067	200	11	on	on	ADP
brj-23067	200	12	case	case	NOUN
brj-23067	200	13	b	b	NOUN
brj-23067	200	14	in	in	ADP
brj-23067	200	15	table	table	NOUN
brj-23067	200	16	1	1	NUM
brj-23067	200	17	;	;	PUNCT
brj-23067	200	18	dashed	dash	VERB
brj-23067	200	19	lines	line	NOUN
brj-23067	200	20	:	:	PUNCT
brj-23067	200	21	black	black	ADJ
brj-23067	200	22	is	be	AUX
brj-23067	200	23	required	require	VERB
brj-23067	200	24	area	area	NOUN
brj-23067	200	25	and	and	CCONJ
brj-23067	200	26	red	red	NOUN
brj-23067	200	27	is	be	AUX
brj-23067	200	28	accepted	accept	VERB
brj-23067	200	29	according	accord	VERB
brj-23067	200	30	to	to	ADP
brj-23067	200	31	eq	eq	PROPN
brj-23067	200	32	.	.	PROPN
brj-23067	200	33	7	7	NUM
brj-23067	200	34	if	if	SCONJ
brj-23067	200	35	the	the	DET
brj-23067	200	36	motor	motor	NOUN
brj-23067	200	37	load	load	NOUN
brj-23067	200	38	and	and	CCONJ
brj-23067	200	39	the	the	DET
brj-23067	200	40	production	production	NOUN
brj-23067	200	41	(	(	PUNCT
brj-23067	200	42	case	case	NOUN
brj-23067	200	43	c	c	NOUN
brj-23067	200	44	)	)	PUNCT
brj-23067	200	45	are	be	AUX
brj-23067	200	46	used	use	VERB
brj-23067	200	47	as	as	ADP
brj-23067	200	48	inputs	input	NOUN
brj-23067	200	49	instead	instead	ADV
brj-23067	200	50	of	of	ADP
brj-23067	200	51	the	the	DET
brj-23067	200	52	specific	specific	ADJ
brj-23067	200	53	energy	energy	NOUN
brj-23067	200	54	,	,	PUNCT
brj-23067	200	55	much	much	ADV
brj-23067	200	56	better	well	ADJ
brj-23067	200	57	fits	fit	NOUN
brj-23067	200	58	are	be	AUX
brj-23067	200	59	obtained	obtain	VERB
brj-23067	200	60	,	,	PUNCT
brj-23067	200	61	as	as	SCONJ
brj-23067	200	62	shown	show	VERB
brj-23067	200	63	in	in	ADP
brj-23067	200	64	fig	fig	NOUN
brj-23067	200	65	.	.	PUNCT
brj-23067	201	1	8	8	X
brj-23067	201	2	.	.	PUNCT
brj-23067	202	1	it	it	PRON
brj-23067	202	2	is	be	AUX
brj-23067	202	3	also	also	ADV
brj-23067	202	4	shown	show	VERB
brj-23067	202	5	that	that	SCONJ
brj-23067	202	6	a	a	DET
brj-23067	202	7	slightly	slightly	ADV
brj-23067	202	8	better	well	ADJ
brj-23067	202	9	estimation	estimation	NOUN
brj-23067	202	10	will	will	AUX
brj-23067	202	11	be	be	AUX
brj-23067	202	12	obtained	obtain	VERB
brj-23067	202	13	if	if	SCONJ
brj-23067	202	14	the	the	DET
brj-23067	202	15	dilution	dilution	NOUN
brj-23067	202	16	water	water	NOUN
brj-23067	202	17	to	to	PART
brj-23067	202	18	fz	fz	X
brj-23067	202	19	(	(	PUNCT
brj-23067	202	20	case	case	NOUN
brj-23067	202	21	d	d	X
brj-23067	202	22	)	)	PUNCT
brj-23067	202	23	is	be	AUX
brj-23067	202	24	included	include	VERB
brj-23067	202	25	as	as	ADP
brj-23067	202	26	an	an	DET
brj-23067	202	27	input	input	NOUN
brj-23067	202	28	.	.	PUNCT
brj-23067	203	1	however	however	ADV
brj-23067	203	2	,	,	PUNCT
brj-23067	203	3	the	the	DET
brj-23067	203	4	r2	r2	PROPN
brj-23067	203	5	value	value	NOUN
brj-23067	203	6	for	for	ADP
brj-23067	203	7	the	the	DET
brj-23067	203	8	validation	validation	NOUN
brj-23067	203	9	set	set	NOUN
brj-23067	203	10	was	be	AUX
brj-23067	203	11	not	not	PART
brj-23067	203	12	increased	increase	VERB
brj-23067	203	13	,	,	PUNCT
brj-23067	203	14	and	and	CCONJ
brj-23067	203	15	the	the	DET
brj-23067	203	16	question	question	NOUN
brj-23067	203	17	is	be	AUX
brj-23067	203	18	whether	whether	SCONJ
brj-23067	203	19	the	the	DET
brj-23067	203	20	response	response	NOUN
brj-23067	203	21	in	in	ADP
brj-23067	203	22	time	time	NOUN
brj-23067	203	23	domain	domain	NOUN
brj-23067	203	24	was	be	AUX
brj-23067	203	25	short	short	ADJ
brj-23067	203	26	enough	enough	ADV
brj-23067	203	27	.	.	PUNCT
brj-23067	204	1	fig	fig	NOUN
brj-23067	204	2	.	.	PUNCT
brj-23067	205	1	8	8	X
brj-23067	205	2	.	.	PUNCT
brj-23067	205	3	estimated	estimate	VERB
brj-23067	205	4	r2	r2	PROPN
brj-23067	205	5	for	for	ADP
brj-23067	205	6	tmaxfz	tmaxfz	NOUN
brj-23067	205	7	using	use	VERB
brj-23067	205	8	the	the	DET
brj-23067	205	9	approach	approach	NOUN
brj-23067	205	10	based	base	VERB
brj-23067	205	11	on	on	ADP
brj-23067	205	12	a	a	DET
brj-23067	205	13	)	)	PUNCT
brj-23067	205	14	case	case	NOUN
brj-23067	205	15	c	c	PROPN
brj-23067	205	16	and	and	CCONJ
brj-23067	205	17	b	b	NOUN
brj-23067	205	18	)	)	PUNCT
brj-23067	205	19	case	case	NOUN
brj-23067	206	1	d	d	NOUN
brj-23067	206	2	in	in	ADP
brj-23067	206	3	table	table	NOUN
brj-23067	206	4	1	1	NUM
brj-23067	206	5	;	;	PUNCT
brj-23067	206	6	dashed	dash	VERB
brj-23067	206	7	lines	line	NOUN
brj-23067	206	8	represent	represent	VERB
brj-23067	206	9	the	the	DET
brj-23067	206	10	accepted	accept	VERB
brj-23067	206	11	criteria	criterion	NOUN
brj-23067	206	12	in	in	ADP
brj-23067	206	13	eq	eq	NOUN
brj-23067	206	14	.	.	PROPN
brj-23067	206	15	7	7	NUM
brj-23067	206	16	through	through	ADP
brj-23067	206	17	studying	study	VERB
brj-23067	206	18	the	the	DET
brj-23067	206	19	ensemble	ensemble	NOUN
brj-23067	206	20	of	of	ADP
brj-23067	206	21	models	model	NOUN
brj-23067	206	22	in	in	ADP
brj-23067	206	23	the	the	DET
brj-23067	206	24	time	time	NOUN
brj-23067	206	25	domain	domain	NOUN
brj-23067	206	26	,	,	PUNCT
brj-23067	206	27	the	the	DET
brj-23067	206	28	major	major	ADJ
brj-23067	206	29	dynamics	dynamic	NOUN
brj-23067	206	30	seem	seem	VERB
brj-23067	206	31	to	to	PART
brj-23067	206	32	have	have	AUX
brj-23067	206	33	been	be	AUX
brj-23067	206	34	covered	cover	VERB
brj-23067	206	35	,	,	PUNCT
brj-23067	206	36	as	as	SCONJ
brj-23067	206	37	shown	show	VERB
brj-23067	206	38	in	in	ADP
brj-23067	206	39	fig	fig	NOUN
brj-23067	206	40	.	.	PUNCT
brj-23067	207	1	9a	9a	NOUN
brj-23067	207	2	.	.	PUNCT
brj-23067	208	1	this	this	PRON
brj-23067	208	2	is	be	AUX
brj-23067	208	3	of	of	ADP
brj-23067	208	4	course	course	NOUN
brj-23067	208	5	promising	promise	VERB
brj-23067	208	6	,	,	PUNCT
brj-23067	208	7	and	and	CCONJ
brj-23067	208	8	using	use	VERB
brj-23067	208	9	the	the	DET
brj-23067	208	10	criterion	criterion	NOUN
brj-23067	208	11	j	j	NOUN
brj-23067	208	12	=	=	NOUN
brj-23067	208	13	1	1	NUM
brj-23067	208	14	in	in	ADP
brj-23067	208	15	eq	eq	NOUN
brj-23067	208	16	.	.	PROPN
brj-23067	208	17	8	8	NUM
brj-23067	208	18	,	,	PUNCT
brj-23067	208	19	the	the	DET
brj-23067	208	20	response	response	NOUN
brj-23067	208	21	became	become	VERB
brj-23067	208	22	even	even	ADV
brj-23067	208	23	more	more	ADV
brj-23067	208	24	pronounced	pronounced	ADJ
brj-23067	208	25	(	(	PUNCT
brj-23067	208	26	at	at	ADP
brj-23067	208	27	this	this	DET
brj-23067	208	28	stage	stage	NOUN
brj-23067	208	29	we	we	PRON
brj-23067	208	30	are	be	AUX
brj-23067	208	31	peer	peer	NOUN
brj-23067	208	32	-	-	PUNCT
brj-23067	208	33	reviewed	review	VERB
brj-23067	208	34	article	article	NOUN
brj-23067	208	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	208	36	karlström	karlström	PROPN
brj-23067	208	37	et	et	PROPN
brj-23067	208	38	al	al	PROPN
brj-23067	208	39	.	.	PROPN
brj-23067	209	1	(	(	PUNCT
brj-23067	209	2	2024	2024	NUM
brj-23067	209	3	)	)	PUNCT
brj-23067	209	4	.	.	PUNCT
brj-23067	210	1	“	"	PUNCT
brj-23067	210	2	soft	soft	ADJ
brj-23067	210	3	sensors	sensor	NOUN
brj-23067	210	4	in	in	ADP
brj-23067	210	5	refining	refining	NOUN
brj-23067	210	6	,	,	PUNCT
brj-23067	210	7	”	"	PUNCT
brj-23067	210	8	bioresources	bioresource	NOUN
brj-23067	210	9	19(1	19(1	NUM
brj-23067	210	10	)	)	PUNCT
brj-23067	210	11	,	,	PUNCT
brj-23067	210	12	1030	1030	NUM
brj-23067	210	13	-	-	SYM
brj-23067	210	14	1057	1057	NUM
brj-23067	210	15	.	.	PUNCT
brj-23067	211	1	1041	1041	NUM
brj-23067	212	1	not	not	PART
brj-23067	212	2	comparing	compare	VERB
brj-23067	212	3	all	all	DET
brj-23067	212	4	criteria	criterion	NOUN
brj-23067	212	5	in	in	ADP
brj-23067	212	6	eq	eq	ADP
brj-23067	212	7	.	.	PROPN
brj-23067	212	8	8	8	NUM
brj-23067	212	9	,	,	PUNCT
brj-23067	212	10	this	this	PRON
brj-23067	212	11	will	will	AUX
brj-23067	212	12	be	be	AUX
brj-23067	212	13	done	do	VERB
brj-23067	212	14	later	later	ADV
brj-23067	212	15	in	in	ADP
brj-23067	212	16	the	the	DET
brj-23067	212	17	text	text	NOUN
brj-23067	212	18	)	)	PUNCT
brj-23067	212	19	,	,	PUNCT
brj-23067	212	20	see	see	VERB
brj-23067	212	21	fig	fig	NOUN
brj-23067	212	22	.	.	PUNCT
brj-23067	213	1	9b	9b	NOUN
brj-23067	213	2	.	.	PUNCT
brj-23067	214	1	hence	hence	ADV
brj-23067	214	2	,	,	PUNCT
brj-23067	214	3	when	when	SCONJ
brj-23067	214	4	estimating	estimate	VERB
brj-23067	214	5	tmaxfz	tmaxfz	NOUN
brj-23067	214	6	,	,	PUNCT
brj-23067	214	7	the	the	DET
brj-23067	214	8	most	most	ADV
brj-23067	214	9	important	important	ADJ
brj-23067	214	10	result	result	NOUN
brj-23067	214	11	so	so	ADV
brj-23067	214	12	far	far	ADV
brj-23067	214	13	is	be	AUX
brj-23067	214	14	that	that	SCONJ
brj-23067	214	15	the	the	DET
brj-23067	214	16	ann	ann	PROPN
brj-23067	214	17	provided	provide	VERB
brj-23067	214	18	the	the	DET
brj-23067	214	19	best	good	ADJ
brj-23067	214	20	estimates	estimate	NOUN
brj-23067	214	21	if	if	SCONJ
brj-23067	214	22	the	the	DET
brj-23067	214	23	motor	motor	NOUN
brj-23067	214	24	load	load	NOUN
brj-23067	214	25	and	and	CCONJ
brj-23067	214	26	production	production	NOUN
brj-23067	214	27	were	be	AUX
brj-23067	214	28	included	include	VERB
brj-23067	214	29	as	as	ADP
brj-23067	214	30	inputs	input	NOUN
brj-23067	214	31	,	,	PUNCT
brj-23067	214	32	instead	instead	ADV
brj-23067	214	33	of	of	ADP
brj-23067	214	34	using	use	VERB
brj-23067	214	35	the	the	DET
brj-23067	214	36	specific	specific	ADJ
brj-23067	214	37	energy	energy	NOUN
brj-23067	214	38	as	as	ADP
brj-23067	214	39	a	a	DET
brj-23067	214	40	model	model	NOUN
brj-23067	214	41	input	input	NOUN
brj-23067	214	42	.	.	PUNCT
brj-23067	215	1	fig	fig	NOUN
brj-23067	215	2	.	.	PUNCT
brj-23067	216	1	9	9	X
brj-23067	216	2	.	.	X
brj-23067	216	3	filtered	filter	VERB
brj-23067	216	4	and	and	CCONJ
brj-23067	216	5	estimated	estimate	VERB
brj-23067	216	6	tmaxfz	tmaxfz	NOUN
brj-23067	216	7	for	for	ADP
brj-23067	216	8	case	case	NOUN
brj-23067	216	9	d	d	X
brj-23067	216	10	in	in	ADP
brj-23067	216	11	table	table	NOUN
brj-23067	216	12	1	1	NUM
brj-23067	216	13	:	:	PUNCT
brj-23067	216	14	a	a	PRON
brj-23067	216	15	:	:	PUNCT
brj-23067	216	16	ensemble	ensemble	ADJ
brj-23067	216	17	of	of	ADP
brj-23067	216	18	models	model	NOUN
brj-23067	216	19	related	relate	VERB
brj-23067	216	20	to	to	ADP
brj-23067	216	21	fig	fig	NOUN
brj-23067	216	22	.	.	PUNCT
brj-23067	217	1	8	8	NUM
brj-23067	217	2	;	;	PUNCT
brj-23067	217	3	b	b	X
brj-23067	217	4	:	:	PUNCT
brj-23067	217	5	response	response	NOUN
brj-23067	217	6	using	use	VERB
brj-23067	217	7	the	the	DET
brj-23067	217	8	weighted	weighted	ADJ
brj-23067	217	9	training	training	NOUN
brj-23067	217	10	set	set	NOUN
brj-23067	217	11	(	(	PUNCT
brj-23067	217	12	j	j	NOUN
brj-23067	218	1	=	=	SYM
brj-23067	218	2	1	1	NUM
brj-23067	218	3	in	in	ADP
brj-23067	218	4	eq	eq	ADP
brj-23067	218	5	.	.	PROPN
brj-23067	218	6	8)	8)	NUM
brj-23067	219	1	to	to	PART
brj-23067	219	2	complete	complete	VERB
brj-23067	219	3	the	the	DET
brj-23067	219	4	discussion	discussion	NOUN
brj-23067	219	5	about	about	ADP
brj-23067	219	6	possible	possible	ADJ
brj-23067	219	7	input	input	NOUN
brj-23067	219	8	combinations	combination	NOUN
brj-23067	219	9	from	from	ADP
brj-23067	219	10	table	table	NOUN
brj-23067	219	11	1	1	NUM
brj-23067	219	12	,	,	PUNCT
brj-23067	219	13	case	case	NOUN
brj-23067	219	14	e	e	NOUN
brj-23067	219	15	in	in	ADP
brj-23067	219	16	fig	fig	NOUN
brj-23067	219	17	.	.	PUNCT
brj-23067	220	1	10	10	NUM
brj-23067	220	2	was	be	AUX
brj-23067	220	3	also	also	ADV
brj-23067	220	4	studied	study	VERB
brj-23067	220	5	.	.	PUNCT
brj-23067	221	1	as	as	SCONJ
brj-23067	221	2	can	can	AUX
brj-23067	221	3	be	be	AUX
brj-23067	221	4	seen	see	VERB
brj-23067	221	5	,	,	PUNCT
brj-23067	221	6	the	the	DET
brj-23067	221	7	use	use	NOUN
brj-23067	221	8	of	of	ADP
brj-23067	221	9	the	the	DET
brj-23067	221	10	inputs	input	NOUN
brj-23067	221	11	from	from	ADP
brj-23067	221	12	case	case	NOUN
brj-23067	221	13	e	e	NOUN
brj-23067	221	14	provided	provide	VERB
brj-23067	221	15	slightly	slightly	ADV
brj-23067	221	16	better	well	ADJ
brj-23067	221	17	models	model	NOUN
brj-23067	221	18	when	when	SCONJ
brj-23067	221	19	adding	add	VERB
brj-23067	221	20	the	the	DET
brj-23067	221	21	distance	distance	NOUN
brj-23067	221	22	between	between	ADP
brj-23067	221	23	the	the	DET
brj-23067	221	24	segments	segment	NOUN
brj-23067	221	25	as	as	ADP
brj-23067	221	26	an	an	DET
brj-23067	221	27	input	input	NOUN
brj-23067	221	28	.	.	PUNCT
brj-23067	222	1	this	this	PRON
brj-23067	222	2	is	be	AUX
brj-23067	222	3	good	good	ADJ
brj-23067	222	4	news	news	NOUN
brj-23067	222	5	and	and	CCONJ
brj-23067	222	6	motivates	motivate	VERB
brj-23067	222	7	a	a	DET
brj-23067	222	8	proposal	proposal	NOUN
brj-23067	222	9	to	to	PART
brj-23067	222	10	use	use	VERB
brj-23067	222	11	a	a	DET
brj-23067	222	12	set	set	NOUN
brj-23067	222	13	up	up	ADP
brj-23067	222	14	according	accord	VERB
brj-23067	222	15	to	to	ADP
brj-23067	222	16	case	case	NOUN
brj-23067	222	17	e	e	NOUN
brj-23067	222	18	as	as	ADP
brj-23067	222	19	a	a	DET
brj-23067	222	20	reference	reference	NOUN
brj-23067	222	21	when	when	SCONJ
brj-23067	222	22	estimating	estimate	VERB
brj-23067	222	23	the	the	DET
brj-23067	222	24	maximum	maximum	ADJ
brj-23067	222	25	temperature	temperature	NOUN
brj-23067	222	26	in	in	ADP
brj-23067	222	27	fz	fz	PROPN
brj-23067	222	28	.	.	PUNCT
brj-23067	222	29	to	to	PART
brj-23067	222	30	verify	verify	VERB
brj-23067	222	31	the	the	DET
brj-23067	222	32	robustness	robustness	NOUN
brj-23067	222	33	in	in	ADP
brj-23067	222	34	the	the	DET
brj-23067	222	35	results	result	NOUN
brj-23067	222	36	in	in	ADP
brj-23067	222	37	fig	fig	NOUN
brj-23067	222	38	.	.	PUNCT
brj-23067	223	1	10	10	NUM
brj-23067	223	2	,	,	PUNCT
brj-23067	223	3	another	another	DET
brj-23067	223	4	200	200	NUM
brj-23067	223	5	iterations	iteration	NOUN
brj-23067	223	6	were	be	AUX
brj-23067	223	7	also	also	ADV
brj-23067	223	8	included	include	VERB
brj-23067	223	9	to	to	PART
brj-23067	223	10	find	find	VERB
brj-23067	223	11	complementary	complementary	ADJ
brj-23067	223	12	models	model	NOUN
brj-23067	223	13	(	(	PUNCT
brj-23067	223	14	set	set	NOUN
brj-23067	223	15	2	2	NUM
brj-23067	223	16	)	)	PUNCT
brj-23067	223	17	.	.	PUNCT
brj-23067	224	1	as	as	SCONJ
brj-23067	224	2	shown	show	VERB
brj-23067	224	3	,	,	PUNCT
brj-23067	224	4	the	the	DET
brj-23067	224	5	cluster	cluster	NOUN
brj-23067	224	6	of	of	ADP
brj-23067	224	7	r2	r2	PROPN
brj-23067	224	8	will	will	AUX
brj-23067	224	9	not	not	PART
brj-23067	224	10	be	be	AUX
brj-23067	224	11	improved	improve	VERB
brj-23067	224	12	outside	outside	ADP
brj-23067	224	13	the	the	DET
brj-23067	224	14	original	original	ADJ
brj-23067	224	15	region	region	NOUN
brj-23067	224	16	.	.	PUNCT
brj-23067	225	1	instead	instead	ADV
brj-23067	225	2	,	,	PUNCT
brj-23067	225	3	the	the	DET
brj-23067	225	4	ensemble	ensemble	ADJ
brj-23067	225	5	is	be	AUX
brj-23067	225	6	located	locate	VERB
brj-23067	225	7	almost	almost	ADV
brj-23067	225	8	in	in	ADP
brj-23067	225	9	the	the	DET
brj-23067	225	10	same	same	ADJ
brj-23067	225	11	interval	interval	NOUN
brj-23067	225	12	as	as	ADP
brj-23067	225	13	the	the	DET
brj-23067	225	14	original	original	ADJ
brj-23067	225	15	set	set	NOUN
brj-23067	225	16	(	(	PUNCT
brj-23067	225	17	set	set	NOUN
brj-23067	225	18	1	1	NUM
brj-23067	225	19	)	)	PUNCT
brj-23067	225	20	.	.	PUNCT
brj-23067	226	1	this	this	PRON
brj-23067	226	2	indicates	indicate	VERB
brj-23067	226	3	,	,	PUNCT
brj-23067	226	4	to	to	ADP
brj-23067	226	5	some	some	DET
brj-23067	226	6	extent	extent	NOUN
brj-23067	226	7	,	,	PUNCT
brj-23067	226	8	a	a	DET
brj-23067	226	9	robustness	robustness	NOUN
brj-23067	226	10	in	in	ADP
brj-23067	226	11	the	the	DET
brj-23067	226	12	used	use	VERB
brj-23067	226	13	methodology	methodology	NOUN
brj-23067	226	14	.	.	PUNCT
brj-23067	227	1	peer	peer	NOUN
brj-23067	227	2	-	-	PUNCT
brj-23067	227	3	reviewed	review	VERB
brj-23067	227	4	article	article	NOUN
brj-23067	227	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	227	6	karlström	karlström	PROPN
brj-23067	227	7	et	et	PROPN
brj-23067	227	8	al	al	PROPN
brj-23067	227	9	.	.	PROPN
brj-23067	228	1	(	(	PUNCT
brj-23067	228	2	2024	2024	NUM
brj-23067	228	3	)	)	PUNCT
brj-23067	228	4	.	.	PUNCT
brj-23067	229	1	“	"	PUNCT
brj-23067	229	2	soft	soft	ADJ
brj-23067	229	3	sensors	sensor	NOUN
brj-23067	229	4	in	in	ADP
brj-23067	229	5	refining	refining	NOUN
brj-23067	229	6	,	,	PUNCT
brj-23067	229	7	”	"	PUNCT
brj-23067	229	8	bioresources	bioresource	NOUN
brj-23067	229	9	19(1	19(1	NUM
brj-23067	229	10	)	)	PUNCT
brj-23067	229	11	,	,	PUNCT
brj-23067	229	12	1030	1030	NUM
brj-23067	229	13	-	-	SYM
brj-23067	229	14	1057	1057	NUM
brj-23067	229	15	.	.	PUNCT
brj-23067	230	1	1042	1042	NUM
brj-23067	230	2	the	the	DET
brj-23067	230	3	r2	r2	PROPN
brj-23067	230	4	value	value	NOUN
brj-23067	230	5	from	from	ADP
brj-23067	230	6	the	the	DET
brj-23067	230	7	validation	validation	NOUN
brj-23067	230	8	set	set	NOUN
brj-23067	230	9	was	be	AUX
brj-23067	230	10	,	,	PUNCT
brj-23067	230	11	however	however	ADV
brj-23067	230	12	,	,	PUNCT
brj-23067	230	13	surprisingly	surprisingly	ADV
brj-23067	230	14	low	low	ADJ
brj-23067	230	15	,	,	PUNCT
brj-23067	230	16	and	and	CCONJ
brj-23067	230	17	this	this	PRON
brj-23067	230	18	undermines	undermine	VERB
brj-23067	230	19	the	the	DET
brj-23067	230	20	use	use	NOUN
brj-23067	230	21	of	of	ADP
brj-23067	230	22	the	the	DET
brj-23067	230	23	models	model	NOUN
brj-23067	230	24	derived	derive	VERB
brj-23067	230	25	although	although	SCONJ
brj-23067	230	26	the	the	DET
brj-23067	230	27	time	time	NOUN
brj-23067	230	28	responses	response	NOUN
brj-23067	230	29	seem	seem	VERB
brj-23067	230	30	to	to	PART
brj-23067	230	31	be	be	AUX
brj-23067	230	32	acceptable	acceptable	ADJ
brj-23067	230	33	.	.	PUNCT
brj-23067	231	1	fig	fig	NOUN
brj-23067	231	2	.	.	PUNCT
brj-23067	232	1	10	10	NUM
brj-23067	232	2	.	.	PUNCT
brj-23067	232	3	estimated	estimate	VERB
brj-23067	232	4	r2	r2	PROPN
brj-23067	232	5	for	for	ADP
brj-23067	232	6	tmaxfz	tmaxfz	NOUN
brj-23067	232	7	using	use	VERB
brj-23067	232	8	the	the	DET
brj-23067	232	9	approach	approach	NOUN
brj-23067	232	10	based	base	VERB
brj-23067	232	11	on	on	ADP
brj-23067	232	12	two	two	NUM
brj-23067	232	13	ensemble	ensemble	ADJ
brj-23067	232	14	sets	set	NOUN
brj-23067	232	15	for	for	ADP
brj-23067	232	16	case	case	NOUN
brj-23067	232	17	e	e	NOUN
brj-23067	232	18	in	in	ADP
brj-23067	232	19	table	table	NOUN
brj-23067	232	20	1	1	NUM
brj-23067	232	21	the	the	DET
brj-23067	232	22	consistency	consistency	NOUN
brj-23067	232	23	modeling	modeling	NOUN
brj-23067	232	24	in	in	ADP
brj-23067	232	25	fz	fz	PROPN
brj-23067	232	26	(	(	PUNCT
brj-23067	232	27	cfz	cfz	PROPN
brj-23067	232	28	)	)	PUNCT
brj-23067	232	29	when	when	SCONJ
brj-23067	232	30	it	it	PRON
brj-23067	232	31	comes	come	VERB
brj-23067	232	32	to	to	ADP
brj-23067	232	33	the	the	DET
brj-23067	232	34	consistency	consistency	NOUN
brj-23067	232	35	modeling	modeling	NOUN
brj-23067	232	36	in	in	ADP
brj-23067	232	37	the	the	DET
brj-23067	232	38	flat	flat	ADJ
brj-23067	232	39	zone	zone	NOUN
brj-23067	232	40	,	,	PUNCT
brj-23067	232	41	none	none	NOUN
brj-23067	232	42	of	of	ADP
brj-23067	232	43	the	the	DET
brj-23067	232	44	input	input	NOUN
brj-23067	232	45	combinations	combination	NOUN
brj-23067	232	46	in	in	ADP
brj-23067	232	47	table	table	NOUN
brj-23067	232	48	1	1	NUM
brj-23067	232	49	provided	provide	VERB
brj-23067	232	50	acceptable	acceptable	ADJ
brj-23067	232	51	models	model	NOUN
brj-23067	232	52	.	.	PUNCT
brj-23067	233	1	this	this	PRON
brj-23067	233	2	could	could	AUX
brj-23067	233	3	be	be	AUX
brj-23067	233	4	perceived	perceive	VERB
brj-23067	233	5	as	as	ADP
brj-23067	233	6	a	a	DET
brj-23067	233	7	surprise	surprise	NOUN
brj-23067	233	8	,	,	PUNCT
brj-23067	233	9	but	but	CCONJ
brj-23067	233	10	the	the	DET
brj-23067	233	11	complex	complex	ADJ
brj-23067	233	12	process	process	NOUN
brj-23067	233	13	conditions	condition	NOUN
brj-23067	233	14	inside	inside	ADP
brj-23067	233	15	the	the	DET
brj-23067	233	16	refining	refining	NOUN
brj-23067	233	17	zone	zone	NOUN
brj-23067	233	18	are	be	AUX
brj-23067	233	19	difficult	difficult	ADJ
brj-23067	233	20	to	to	PART
brj-23067	233	21	capture	capture	VERB
brj-23067	233	22	using	use	VERB
brj-23067	233	23	only	only	ADV
brj-23067	233	24	the	the	DET
brj-23067	233	25	external	external	ADJ
brj-23067	233	26	variables	variable	NOUN
brj-23067	233	27	.	.	PUNCT
brj-23067	234	1	as	as	ADP
brj-23067	234	2	an	an	DET
brj-23067	234	3	example	example	NOUN
brj-23067	234	4	,	,	PUNCT
brj-23067	234	5	neither	neither	CCONJ
brj-23067	234	6	the	the	DET
brj-23067	234	7	external	external	ADJ
brj-23067	234	8	variables	variable	NOUN
brj-23067	234	9	cover	cover	VERB
brj-23067	234	10	phenomena	phenomenon	NOUN
brj-23067	234	11	,	,	PUNCT
brj-23067	234	12	such	such	ADJ
brj-23067	234	13	as	as	ADP
brj-23067	234	14	the	the	DET
brj-23067	234	15	split	split	NOUN
brj-23067	234	16	between	between	ADP
brj-23067	234	17	backflowing	backflowing	NOUN
brj-23067	234	18	and	and	CCONJ
brj-23067	234	19	forward	forward	ADV
brj-23067	234	20	flowing	flow	VERB
brj-23067	234	21	steam	steam	NOUN
brj-23067	234	22	,	,	PUNCT
brj-23067	234	23	nor	nor	CCONJ
brj-23067	234	24	the	the	DET
brj-23067	234	25	variable	variable	ADJ
brj-23067	234	26	distributed	distribute	VERB
brj-23067	234	27	shear	shear	NOUN
brj-23067	234	28	forces	force	NOUN
brj-23067	234	29	,	,	PUNCT
brj-23067	234	30	where	where	SCONJ
brj-23067	234	31	inherent	inherent	ADJ
brj-23067	234	32	physical	physical	ADJ
brj-23067	234	33	conditions	condition	NOUN
brj-23067	234	34	must	must	AUX
brj-23067	234	35	be	be	AUX
brj-23067	234	36	considered	consider	VERB
brj-23067	234	37	.	.	PUNCT
brj-23067	235	1	hence	hence	ADV
brj-23067	235	2	,	,	PUNCT
brj-23067	235	3	although	although	SCONJ
brj-23067	235	4	the	the	DET
brj-23067	235	5	input	input	NOUN
brj-23067	235	6	matrix	matrix	NOUN
brj-23067	235	7	was	be	AUX
brj-23067	235	8	expanded	expand	VERB
brj-23067	235	9	by	by	ADP
brj-23067	235	10	including	include	VERB
brj-23067	235	11	the	the	DET
brj-23067	235	12	maximum	maximum	ADJ
brj-23067	235	13	temperature	temperature	NOUN
brj-23067	235	14	in	in	ADP
brj-23067	235	15	fz	fz	NOUN
brj-23067	235	16	as	as	ADV
brj-23067	235	17	well	well	ADV
brj-23067	235	18	,	,	PUNCT
brj-23067	235	19	a	a	DET
brj-23067	235	20	good	good	ADJ
brj-23067	235	21	estimation	estimation	NOUN
brj-23067	235	22	of	of	ADP
brj-23067	235	23	the	the	DET
brj-23067	235	24	consistency	consistency	NOUN
brj-23067	235	25	was	be	AUX
brj-23067	235	26	not	not	PART
brj-23067	235	27	obtained	obtain	VERB
brj-23067	235	28	.	.	PUNCT
brj-23067	236	1	the	the	DET
brj-23067	236	2	maximum	maximum	ADJ
brj-23067	236	3	temperature	temperature	NOUN
brj-23067	236	4	in	in	ADP
brj-23067	236	5	cd	cd	PROPN
brj-23067	236	6	(	(	PUNCT
brj-23067	236	7	tmaxcd	tmaxcd	PROPN
brj-23067	236	8	)	)	PUNCT
brj-23067	236	9	compared	compare	VERB
brj-23067	236	10	with	with	ADP
brj-23067	236	11	the	the	DET
brj-23067	236	12	modeling	modeling	NOUN
brj-23067	236	13	of	of	ADP
brj-23067	236	14	the	the	DET
brj-23067	236	15	maximum	maximum	ADJ
brj-23067	236	16	temperature	temperature	NOUN
brj-23067	236	17	in	in	ADP
brj-23067	236	18	fz	fz	NOUN
brj-23067	236	19	(	(	PUNCT
brj-23067	236	20	case	case	NOUN
brj-23067	236	21	e	e	NOUN
brj-23067	236	22	in	in	ADP
brj-23067	236	23	table	table	NOUN
brj-23067	236	24	1	1	NUM
brj-23067	236	25	)	)	PUNCT
brj-23067	236	26	,	,	PUNCT
brj-23067	236	27	the	the	DET
brj-23067	236	28	models	model	NOUN
brj-23067	236	29	for	for	ADP
brj-23067	236	30	the	the	DET
brj-23067	236	31	first	first	ADJ
brj-23067	236	32	temperature	temperature	NOUN
brj-23067	236	33	measurement	measurement	NOUN
brj-23067	236	34	in	in	ADP
brj-23067	236	35	cd	cd	PROPN
brj-23067	236	36	(	(	PUNCT
brj-23067	236	37	see	see	VERB
brj-23067	236	38	fig	fig	NOUN
brj-23067	236	39	.	.	PUNCT
brj-23067	237	1	1	1	NUM
brj-23067	237	2	(	(	PUNCT
brj-23067	237	3	right	right	ADJ
brj-23067	237	4	figure	figure	NOUN
brj-23067	237	5	)	)	PUNCT
brj-23067	237	6	)	)	PUNCT
brj-23067	237	7	need	need	VERB
brj-23067	237	8	an	an	DET
brj-23067	237	9	even	even	ADV
brj-23067	237	10	more	more	ADV
brj-23067	237	11	complex	complex	ADJ
brj-23067	237	12	input	input	NOUN
brj-23067	237	13	structure	structure	NOUN
brj-23067	237	14	.	.	PUNCT
brj-23067	238	1	it	it	PRON
brj-23067	238	2	is	be	AUX
brj-23067	238	3	natural	natural	ADJ
brj-23067	238	4	to	to	PART
brj-23067	238	5	expand	expand	VERB
brj-23067	238	6	the	the	DET
brj-23067	238	7	input	input	NOUN
brj-23067	238	8	structure	structure	NOUN
brj-23067	238	9	in	in	ADP
brj-23067	238	10	case	case	NOUN
brj-23067	238	11	e	e	NOUN
brj-23067	238	12	by	by	ADP
brj-23067	238	13	introducing	introduce	VERB
brj-23067	238	14	the	the	DET
brj-23067	238	15	dilution	dilution	NOUN
brj-23067	238	16	water	water	NOUN
brj-23067	238	17	feed	feed	NOUN
brj-23067	238	18	rate	rate	NOUN
brj-23067	238	19	together	together	ADV
brj-23067	238	20	with	with	ADP
brj-23067	238	21	the	the	DET
brj-23067	238	22	distance	distance	NOUN
brj-23067	238	23	between	between	ADP
brj-23067	238	24	the	the	DET
brj-23067	238	25	refining	refining	NOUN
brj-23067	238	26	segment	segment	NOUN
brj-23067	238	27	in	in	ADP
brj-23067	238	28	cd	cd	PROPN
brj-23067	238	29	,	,	PUNCT
brj-23067	238	30	but	but	CCONJ
brj-23067	238	31	this	this	PRON
brj-23067	238	32	was	be	AUX
brj-23067	238	33	not	not	PART
brj-23067	238	34	enough	enough	ADJ
brj-23067	238	35	,	,	PUNCT
brj-23067	238	36	as	as	SCONJ
brj-23067	238	37	no	no	DET
brj-23067	238	38	models	model	NOUN
brj-23067	238	39	fulfilled	fulfil	VERB
brj-23067	238	40	the	the	DET
brj-23067	238	41	criteria	criterion	NOUN
brj-23067	238	42	in	in	ADP
brj-23067	238	43	eq	eq	NOUN
brj-23067	238	44	.	.	PROPN
brj-23067	239	1	7	7	X
brj-23067	239	2	.	.	X
brj-23067	239	3	without	without	ADP
brj-23067	239	4	going	go	VERB
brj-23067	239	5	through	through	ADP
brj-23067	239	6	all	all	DET
brj-23067	239	7	the	the	DET
brj-23067	239	8	details	detail	NOUN
brj-23067	239	9	regarding	regard	VERB
brj-23067	239	10	different	different	ADJ
brj-23067	239	11	combinations	combination	NOUN
brj-23067	239	12	and	and	CCONJ
brj-23067	239	13	their	their	PRON
brj-23067	239	14	inability	inability	NOUN
brj-23067	239	15	to	to	PART
brj-23067	239	16	create	create	VERB
brj-23067	239	17	good	good	ADJ
brj-23067	239	18	models	model	NOUN
brj-23067	239	19	,	,	PUNCT
brj-23067	239	20	it	it	PRON
brj-23067	239	21	can	can	AUX
brj-23067	239	22	be	be	AUX
brj-23067	239	23	concluded	conclude	VERB
brj-23067	239	24	that	that	SCONJ
brj-23067	239	25	the	the	DET
brj-23067	239	26	use	use	NOUN
brj-23067	239	27	of	of	ADP
brj-23067	239	28	the	the	DET
brj-23067	239	29	maximum	maximum	ADJ
brj-23067	239	30	temperature	temperature	NOUN
brj-23067	239	31	in	in	ADP
brj-23067	239	32	fz	fz	NOUN
brj-23067	239	33	as	as	ADP
brj-23067	239	34	an	an	DET
brj-23067	239	35	additional	additional	ADJ
brj-23067	239	36	input	input	NOUN
brj-23067	239	37	seems	seem	VERB
brj-23067	239	38	to	to	PART
brj-23067	239	39	be	be	AUX
brj-23067	239	40	important	important	ADJ
brj-23067	239	41	to	to	PART
brj-23067	239	42	achieve	achieve	VERB
brj-23067	239	43	acceptance	acceptance	NOUN
brj-23067	239	44	according	accord	VERB
brj-23067	239	45	to	to	ADP
brj-23067	239	46	the	the	DET
brj-23067	239	47	criteria	criterion	NOUN
brj-23067	239	48	in	in	ADP
brj-23067	239	49	eq	eq	NOUN
brj-23067	239	50	.	.	PROPN
brj-23067	240	1	7	7	X
brj-23067	240	2	.	.	PUNCT
brj-23067	240	3	this	this	PRON
brj-23067	240	4	indicates	indicate	VERB
brj-23067	240	5	that	that	SCONJ
brj-23067	240	6	external	external	ADJ
brj-23067	240	7	variables	variable	NOUN
brj-23067	240	8	as	as	ADP
brj-23067	240	9	model	model	NOUN
brj-23067	240	10	inputs	input	NOUN
brj-23067	240	11	are	be	AUX
brj-23067	240	12	not	not	PART
brj-23067	240	13	enough	enough	ADJ
brj-23067	240	14	when	when	SCONJ
brj-23067	240	15	estimating	estimate	VERB
brj-23067	240	16	the	the	DET
brj-23067	240	17	maximum	maximum	ADJ
brj-23067	240	18	temperature	temperature	NOUN
brj-23067	240	19	in	in	ADP
brj-23067	240	20	cd	cd	PROPN
brj-23067	240	21	.	.	PUNCT
brj-23067	241	1	this	this	PRON
brj-23067	241	2	,	,	PUNCT
brj-23067	241	3	of	of	ADP
brj-23067	241	4	course	course	NOUN
brj-23067	241	5	,	,	PUNCT
brj-23067	241	6	is	be	AUX
brj-23067	241	7	a	a	DET
brj-23067	241	8	drawback	drawback	NOUN
brj-23067	241	9	from	from	ADP
brj-23067	241	10	an	an	DET
brj-23067	241	11	empirical	empirical	ADJ
brj-23067	241	12	modeling	modeling	NOUN
brj-23067	241	13	perspective	perspective	NOUN
brj-23067	241	14	,	,	PUNCT
brj-23067	241	15	as	as	SCONJ
brj-23067	241	16	temperature	temperature	NOUN
brj-23067	241	17	measurements	measurement	NOUN
brj-23067	241	18	and	and	CCONJ
brj-23067	241	19	most	most	ADV
brj-23067	241	20	likely	likely	ADJ
brj-23067	241	21	the	the	DET
brj-23067	241	22	model	model	NOUN
brj-23067	241	23	-	-	PUNCT
brj-23067	241	24	driven	drive	VERB
brj-23067	241	25	soft	soft	ADJ
brj-23067	241	26	sensor	sensor	NOUN
brj-23067	241	27	must	must	AUX
brj-23067	241	28	be	be	AUX
brj-23067	241	29	used	use	VERB
brj-23067	241	30	when	when	SCONJ
brj-23067	241	31	estimating	estimate	VERB
brj-23067	241	32	internal	internal	ADJ
brj-23067	241	33	variables	variable	NOUN
brj-23067	241	34	in	in	ADP
brj-23067	241	35	the	the	DET
brj-23067	241	36	conical	conical	ADJ
brj-23067	241	37	zone	zone	NOUN
brj-23067	241	38	.	.	PUNCT
brj-23067	242	1	peer	peer	NOUN
brj-23067	242	2	-	-	PUNCT
brj-23067	242	3	reviewed	review	VERB
brj-23067	242	4	article	article	NOUN
brj-23067	242	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	242	6	karlström	karlström	PROPN
brj-23067	242	7	et	et	PROPN
brj-23067	242	8	al	al	PROPN
brj-23067	242	9	.	.	PROPN
brj-23067	243	1	(	(	PUNCT
brj-23067	243	2	2024	2024	NUM
brj-23067	243	3	)	)	PUNCT
brj-23067	243	4	.	.	PUNCT
brj-23067	244	1	“	"	PUNCT
brj-23067	244	2	soft	soft	ADJ
brj-23067	244	3	sensors	sensor	NOUN
brj-23067	244	4	in	in	ADP
brj-23067	244	5	refining	refining	NOUN
brj-23067	244	6	,	,	PUNCT
brj-23067	244	7	”	"	PUNCT
brj-23067	244	8	bioresources	bioresource	NOUN
brj-23067	244	9	19(1	19(1	NUM
brj-23067	244	10	)	)	PUNCT
brj-23067	244	11	,	,	PUNCT
brj-23067	244	12	1030	1030	NUM
brj-23067	244	13	-	-	SYM
brj-23067	244	14	1057	1057	NUM
brj-23067	244	15	.	.	PUNCT
brj-23067	245	1	1043	1043	NUM
brj-23067	245	2	hence	hence	ADV
brj-23067	245	3	,	,	PUNCT
brj-23067	245	4	when	when	SCONJ
brj-23067	245	5	case	case	NOUN
brj-23067	245	6	e	e	NOUN
brj-23067	245	7	in	in	ADP
brj-23067	245	8	table	table	NOUN
brj-23067	245	9	1	1	NUM
brj-23067	245	10	is	be	AUX
brj-23067	245	11	expanded	expand	VERB
brj-23067	245	12	by	by	ADP
brj-23067	245	13	adding	add	VERB
brj-23067	245	14	the	the	DET
brj-23067	245	15	dilution	dilution	NOUN
brj-23067	245	16	water	water	NOUN
brj-23067	245	17	and	and	CCONJ
brj-23067	245	18	plate	plate	NOUN
brj-23067	245	19	gap	gap	NOUN
brj-23067	245	20	in	in	ADP
brj-23067	245	21	cd	cd	PROPN
brj-23067	245	22	together	together	ADV
brj-23067	245	23	with	with	ADP
brj-23067	245	24	the	the	DET
brj-23067	245	25	maximum	maximum	ADJ
brj-23067	245	26	temperature	temperature	NOUN
brj-23067	245	27	in	in	ADP
brj-23067	245	28	fz	fz	NOUN
brj-23067	245	29	as	as	ADP
brj-23067	245	30	inputs	input	NOUN
brj-23067	245	31	,	,	PUNCT
brj-23067	245	32	a	a	DET
brj-23067	245	33	good	good	ADJ
brj-23067	245	34	estimate	estimate	NOUN
brj-23067	245	35	of	of	ADP
brj-23067	245	36	tmaxcd	tmaxcd	PROPN
brj-23067	245	37	can	can	AUX
brj-23067	245	38	be	be	AUX
brj-23067	245	39	provided	provide	VERB
brj-23067	245	40	,	,	PUNCT
brj-23067	245	41	as	as	SCONJ
brj-23067	245	42	shown	show	VERB
brj-23067	245	43	in	in	ADP
brj-23067	245	44	fig	fig	NOUN
brj-23067	245	45	.	.	PUNCT
brj-23067	246	1	11	11	NUM
brj-23067	246	2	.	.	PUNCT
brj-23067	247	1	this	this	PRON
brj-23067	247	2	is	be	AUX
brj-23067	247	3	a	a	DET
brj-23067	247	4	bit	bit	NOUN
brj-23067	247	5	of	of	ADP
brj-23067	247	6	a	a	DET
brj-23067	247	7	surprise	surprise	NOUN
brj-23067	247	8	,	,	PUNCT
brj-23067	247	9	as	as	SCONJ
brj-23067	247	10	the	the	DET
brj-23067	247	11	position	position	NOUN
brj-23067	247	12	for	for	ADP
brj-23067	247	13	the	the	DET
brj-23067	247	14	maximum	maximum	ADJ
brj-23067	247	15	temperature	temperature	NOUN
brj-23067	247	16	in	in	ADP
brj-23067	247	17	fz	fz	PROPN
brj-23067	247	18	is	be	AUX
brj-23067	247	19	close	close	ADJ
brj-23067	247	20	to	to	ADP
brj-23067	247	21	the	the	DET
brj-23067	247	22	periphery	periphery	NOUN
brj-23067	247	23	of	of	ADP
brj-23067	247	24	the	the	DET
brj-23067	247	25	segment	segment	NOUN
brj-23067	247	26	and	and	CCONJ
brj-23067	247	27	thereby	thereby	ADV
brj-23067	247	28	close	close	ADJ
brj-23067	247	29	to	to	ADP
brj-23067	247	30	the	the	DET
brj-23067	247	31	maximum	maximum	ADJ
brj-23067	247	32	temperature	temperature	NOUN
brj-23067	247	33	in	in	ADP
brj-23067	247	34	cd	cd	PROPN
brj-23067	247	35	.	.	PUNCT
brj-23067	248	1	however	however	ADV
brj-23067	248	2	,	,	PUNCT
brj-23067	248	3	the	the	DET
brj-23067	248	4	correlation	correlation	NOUN
brj-23067	248	5	coefficient	coefficient	NOUN
brj-23067	248	6	between	between	ADP
brj-23067	248	7	them	they	PRON
brj-23067	248	8	was	be	AUX
brj-23067	248	9	only	only	ADV
brj-23067	248	10	0.5	0.5	NUM
brj-23067	248	11	.	.	PUNCT
brj-23067	249	1	the	the	DET
brj-23067	249	2	covariation	covariation	NOUN
brj-23067	249	3	was	be	AUX
brj-23067	249	4	thereby	thereby	ADV
brj-23067	249	5	unexpectedly	unexpectedly	ADV
brj-23067	249	6	small	small	ADJ
brj-23067	249	7	,	,	PUNCT
brj-23067	249	8	which	which	PRON
brj-23067	249	9	can	can	AUX
brj-23067	249	10	be	be	AUX
brj-23067	249	11	seen	see	VERB
brj-23067	249	12	by	by	ADP
brj-23067	249	13	comparing	compare	VERB
brj-23067	249	14	fig	fig	NOUN
brj-23067	249	15	.	.	PUNCT
brj-23067	250	1	9	9	NUM
brj-23067	250	2	and	and	CCONJ
brj-23067	250	3	fig	fig	NOUN
brj-23067	250	4	.	.	PUNCT
brj-23067	251	1	11	11	NUM
brj-23067	251	2	as	as	ADV
brj-23067	251	3	well	well	ADV
brj-23067	251	4	.	.	PUNCT
brj-23067	252	1	fig	fig	NOUN
brj-23067	252	2	.	.	PUNCT
brj-23067	253	1	11	11	NUM
brj-23067	253	2	.	.	X
brj-23067	253	3	filtered	filter	VERB
brj-23067	253	4	and	and	CCONJ
brj-23067	253	5	estimated	estimate	VERB
brj-23067	253	6	tmaxcd	tmaxcd	PROPN
brj-23067	253	7	for	for	ADP
brj-23067	253	8	case	case	NOUN
brj-23067	253	9	e	e	NOUN
brj-23067	253	10	in	in	ADP
brj-23067	253	11	table	table	NOUN
brj-23067	253	12	1	1	NUM
brj-23067	253	13	added	add	VERB
brj-23067	253	14	with	with	ADP
brj-23067	253	15	the	the	DET
brj-23067	253	16	dilution	dilution	NOUN
brj-23067	253	17	water	water	NOUN
brj-23067	253	18	feedrate	feedrate	NOUN
brj-23067	253	19	to	to	ADP
brj-23067	253	20	cd	cd	PROPN
brj-23067	253	21	(	(	PUNCT
brj-23067	253	22	dilwcd	dilwcd	PROPN
brj-23067	253	23	)	)	PUNCT
brj-23067	253	24	;	;	PUNCT
brj-23067	253	25	the	the	DET
brj-23067	253	26	plate	plate	NOUN
brj-23067	253	27	gap	gap	NOUN
brj-23067	253	28	in	in	ADP
brj-23067	253	29	cd	cd	PROPN
brj-23067	253	30	(	(	PUNCT
brj-23067	253	31	gapcd	gapcd	PROPN
brj-23067	253	32	)	)	PUNCT
brj-23067	253	33	;	;	PUNCT
brj-23067	253	34	and	and	CCONJ
brj-23067	253	35	the	the	DET
brj-23067	253	36	maximum	maximum	ADJ
brj-23067	253	37	temperature	temperature	NOUN
brj-23067	253	38	in	in	ADP
brj-23067	253	39	fz	fz	PROPN
brj-23067	253	40	(	(	PUNCT
brj-23067	253	41	tmaxfz	tmaxfz	PROPN
brj-23067	253	42	)	)	PUNCT
brj-23067	253	43	.	.	PUNCT
brj-23067	254	1	figure	figure	VERB
brj-23067	254	2	a	a	PRON
brj-23067	254	3	)	)	PUNCT
brj-23067	254	4	represents	represent	VERB
brj-23067	254	5	the	the	DET
brj-23067	254	6	ensemble	ensemble	ADJ
brj-23067	254	7	models	model	NOUN
brj-23067	254	8	.	.	PUNCT
brj-23067	255	1	figure	figure	NOUN
brj-23067	255	2	b	b	NOUN
brj-23067	255	3	)	)	PUNCT
brj-23067	255	4	represents	represent	VERB
brj-23067	255	5	the	the	DET
brj-23067	255	6	weighted	weighted	ADJ
brj-23067	255	7	training	training	NOUN
brj-23067	255	8	set	set	NOUN
brj-23067	255	9	(	(	PUNCT
brj-23067	255	10	j	j	NOUN
brj-23067	255	11	=	=	SYM
brj-23067	255	12	1	1	NUM
brj-23067	255	13	in	in	ADP
brj-23067	255	14	eq	eq	ADP
brj-23067	255	15	.	.	PROPN
brj-23067	255	16	8)	8)	NUM
brj-23067	255	17	.	.	PUNCT
brj-23067	256	1	the	the	DET
brj-23067	256	2	consistency	consistency	NOUN
brj-23067	256	3	modeling	modeling	NOUN
brj-23067	256	4	in	in	ADP
brj-23067	256	5	cd	cd	PROPN
brj-23067	256	6	(	(	PUNCT
brj-23067	256	7	ccd	ccd	PROPN
brj-23067	256	8	)	)	PUNCT
brj-23067	256	9	when	when	SCONJ
brj-23067	256	10	it	it	PRON
brj-23067	256	11	comes	come	VERB
brj-23067	256	12	to	to	ADP
brj-23067	256	13	the	the	DET
brj-23067	256	14	consistency	consistency	NOUN
brj-23067	256	15	modeling	modeling	NOUN
brj-23067	256	16	in	in	ADP
brj-23067	256	17	the	the	DET
brj-23067	256	18	conical	conical	NOUN
brj-23067	256	19	zone	zone	NOUN
brj-23067	256	20	,	,	PUNCT
brj-23067	256	21	none	none	NOUN
brj-23067	256	22	of	of	ADP
brj-23067	256	23	the	the	DET
brj-23067	256	24	input	input	NOUN
brj-23067	256	25	combinations	combination	NOUN
brj-23067	256	26	mentioned	mention	VERB
brj-23067	256	27	above	above	ADV
brj-23067	256	28	could	could	AUX
brj-23067	256	29	be	be	AUX
brj-23067	256	30	used	use	VERB
brj-23067	256	31	,	,	PUNCT
brj-23067	256	32	which	which	PRON
brj-23067	256	33	indicates	indicate	VERB
brj-23067	256	34	that	that	SCONJ
brj-23067	256	35	strong	strong	ADJ
brj-23067	256	36	process	process	NOUN
brj-23067	256	37	nonlinearities	nonlinearitie	NOUN
brj-23067	256	38	were	be	AUX
brj-23067	256	39	present	present	ADJ
brj-23067	256	40	.	.	PUNCT
brj-23067	257	1	peer	peer	NOUN
brj-23067	257	2	-	-	PUNCT
brj-23067	257	3	reviewed	review	VERB
brj-23067	257	4	article	article	NOUN
brj-23067	257	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	257	6	karlström	karlström	PROPN
brj-23067	257	7	et	et	PROPN
brj-23067	257	8	al	al	PROPN
brj-23067	257	9	.	.	PROPN
brj-23067	258	1	(	(	PUNCT
brj-23067	258	2	2024	2024	NUM
brj-23067	258	3	)	)	PUNCT
brj-23067	258	4	.	.	PUNCT
brj-23067	259	1	“	"	PUNCT
brj-23067	259	2	soft	soft	ADJ
brj-23067	259	3	sensors	sensor	NOUN
brj-23067	259	4	in	in	ADP
brj-23067	259	5	refining	refining	NOUN
brj-23067	259	6	,	,	PUNCT
brj-23067	259	7	”	"	PUNCT
brj-23067	259	8	bioresources	bioresource	NOUN
brj-23067	259	9	19(1	19(1	NUM
brj-23067	259	10	)	)	PUNCT
brj-23067	259	11	,	,	PUNCT
brj-23067	259	12	1030	1030	NUM
brj-23067	259	13	-	-	SYM
brj-23067	259	14	1057	1057	NUM
brj-23067	259	15	.	.	PUNCT
brj-23067	260	1	1044	1044	NUM
brj-23067	260	2	in	in	ADP
brj-23067	260	3	summary	summary	NOUN
brj-23067	260	4	,	,	PUNCT
brj-23067	260	5	the	the	DET
brj-23067	260	6	maximum	maximum	ADJ
brj-23067	260	7	temperature	temperature	NOUN
brj-23067	260	8	in	in	ADP
brj-23067	260	9	fz	fz	NOUN
brj-23067	260	10	can	can	AUX
brj-23067	260	11	be	be	AUX
brj-23067	260	12	estimated	estimate	VERB
brj-23067	260	13	with	with	ADP
brj-23067	260	14	quite	quite	ADV
brj-23067	260	15	good	good	ADJ
brj-23067	260	16	accuracy	accuracy	NOUN
brj-23067	260	17	using	use	VERB
brj-23067	260	18	external	external	ADJ
brj-23067	260	19	variables	variable	NOUN
brj-23067	260	20	as	as	ADP
brj-23067	260	21	inputs	input	NOUN
brj-23067	260	22	,	,	PUNCT
brj-23067	260	23	whereas	whereas	SCONJ
brj-23067	260	24	the	the	DET
brj-23067	260	25	model	model	NOUN
brj-23067	260	26	-	-	PUNCT
brj-23067	260	27	driven	drive	VERB
brj-23067	260	28	soft	soft	ADJ
brj-23067	260	29	sensor	sensor	NOUN
brj-23067	260	30	becomes	become	VERB
brj-23067	260	31	vital	vital	ADJ
brj-23067	260	32	when	when	SCONJ
brj-23067	260	33	estimating	estimate	VERB
brj-23067	260	34	other	other	ADJ
brj-23067	260	35	internal	internal	ADJ
brj-23067	260	36	variables	variable	NOUN
brj-23067	260	37	.	.	PUNCT
brj-23067	261	1	estimation	estimation	NOUN
brj-23067	261	2	of	of	ADP
brj-23067	261	3	pulp	pulp	NOUN
brj-23067	261	4	property	property	NOUN
brj-23067	261	5	in	in	ADP
brj-23067	261	6	data	data	NOUN
brj-23067	261	7	-	-	PUNCT
brj-23067	261	8	driven	drive	VERB
brj-23067	261	9	soft	soft	ADJ
brj-23067	261	10	sensors	sensor	NOUN
brj-23067	261	11	when	when	SCONJ
brj-23067	261	12	it	it	PRON
brj-23067	261	13	comes	come	VERB
brj-23067	261	14	to	to	ADP
brj-23067	261	15	the	the	DET
brj-23067	261	16	modeling	modeling	NOUN
brj-23067	261	17	of	of	ADP
brj-23067	261	18	the	the	DET
brj-23067	261	19	pulp	pulp	NOUN
brj-23067	261	20	properties	property	NOUN
brj-23067	261	21	in	in	ADP
brj-23067	261	22	�	�	PROPN
brj-23067	261	23	̂	̂	NOUN
brj-23067	261	24	�	�	NOUN
brj-23067	261	25	𝑃𝑈𝐿𝑃	𝑃𝑈𝐿𝑃	NOUN
brj-23067	261	26	,	,	PUNCT
brj-23067	261	27	we	we	PRON
brj-23067	261	28	have	have	VERB
brj-23067	261	29	access	access	NOUN
brj-23067	261	30	to	to	ADP
brj-23067	261	31	all	all	DET
brj-23067	261	32	internal	internal	ADJ
brj-23067	261	33	variables	variable	NOUN
brj-23067	261	34	from	from	ADP
brj-23067	261	35	the	the	DET
brj-23067	261	36	model	model	NOUN
brj-23067	261	37	-	-	PUNCT
brj-23067	261	38	driven	drive	VERB
brj-23067	261	39	soft	soft	ADJ
brj-23067	261	40	sensor	sensor	NOUN
brj-23067	261	41	as	as	ADV
brj-23067	261	42	well	well	ADV
brj-23067	261	43	as	as	ADP
brj-23067	261	44	traditional	traditional	ADJ
brj-23067	261	45	external	external	ADJ
brj-23067	261	46	variables	variable	NOUN
brj-23067	261	47	.	.	PUNCT
brj-23067	262	1	that	that	PRON
brj-23067	262	2	is	is	ADV
brj-23067	262	3	,	,	PUNCT
brj-23067	262	4	the	the	DET
brj-23067	262	5	entire	entire	ADJ
brj-23067	262	6	palette	palette	NOUN
brj-23067	262	7	of	of	ADP
brj-23067	262	8	possible	possible	ADJ
brj-23067	262	9	inputs	input	NOUN
brj-23067	262	10	to	to	ADP
brj-23067	262	11	the	the	DET
brj-23067	262	12	ann	ann	PROPN
brj-23067	262	13	models	model	NOUN
brj-23067	262	14	.	.	PUNCT
brj-23067	263	1	here	here	ADV
brj-23067	263	2	,	,	PUNCT
brj-23067	263	3	the	the	DET
brj-23067	263	4	specific	specific	ADJ
brj-23067	263	5	energy	energy	NOUN
brj-23067	263	6	is	be	AUX
brj-23067	263	7	used	use	VERB
brj-23067	263	8	instead	instead	ADV
brj-23067	263	9	of	of	ADP
brj-23067	263	10	the	the	DET
brj-23067	263	11	motor	motor	NOUN
brj-23067	263	12	load	load	NOUN
brj-23067	263	13	and	and	CCONJ
brj-23067	263	14	the	the	DET
brj-23067	263	15	production	production	NOUN
brj-23067	263	16	when	when	SCONJ
brj-23067	263	17	estimating	estimate	VERB
brj-23067	263	18	pulp	pulp	NOUN
brj-23067	263	19	properties	property	NOUN
brj-23067	263	20	.	.	PUNCT
brj-23067	264	1	this	this	PRON
brj-23067	264	2	is	be	AUX
brj-23067	264	3	because	because	SCONJ
brj-23067	264	4	pulp	pulp	NOUN
brj-23067	264	5	properties	property	NOUN
brj-23067	264	6	are	be	AUX
brj-23067	264	7	dependent	dependent	ADJ
brj-23067	264	8	on	on	ADP
brj-23067	264	9	all	all	DET
brj-23067	264	10	process	process	NOUN
brj-23067	264	11	conditions	condition	NOUN
brj-23067	264	12	represented	represent	VERB
brj-23067	264	13	by	by	ADP
brj-23067	264	14	both	both	CCONJ
brj-23067	264	15	external	external	ADJ
brj-23067	264	16	and	and	CCONJ
brj-23067	264	17	internal	internal	ADJ
brj-23067	264	18	variables	variable	NOUN
brj-23067	264	19	.	.	PUNCT
brj-23067	265	1	because	because	SCONJ
brj-23067	265	2	we	we	PRON
brj-23067	265	3	are	be	AUX
brj-23067	265	4	not	not	PART
brj-23067	265	5	using	use	VERB
brj-23067	265	6	the	the	DET
brj-23067	265	7	data	data	NOUN
brj-23067	265	8	-	-	PUNCT
brj-23067	265	9	driven	drive	VERB
brj-23067	265	10	sensor	sensor	NOUN
brj-23067	265	11	as	as	ADP
brj-23067	265	12	a	a	DET
brj-23067	265	13	standalone	standalone	NOUN
brj-23067	265	14	model	model	NOUN
brj-23067	265	15	in	in	ADP
brj-23067	265	16	this	this	DET
brj-23067	265	17	case	case	NOUN
brj-23067	265	18	,	,	PUNCT
brj-23067	265	19	a	a	DET
brj-23067	265	20	strict	strict	ADJ
brj-23067	265	21	methodology	methodology	NOUN
brj-23067	265	22	regarding	regard	VERB
brj-23067	265	23	the	the	DET
brj-23067	265	24	vif	vif	NOUN
brj-23067	265	25	does	do	AUX
brj-23067	265	26	not	not	PART
brj-23067	265	27	need	need	VERB
brj-23067	265	28	to	to	PART
brj-23067	265	29	be	be	AUX
brj-23067	265	30	followed	follow	VERB
brj-23067	265	31	.	.	PUNCT
brj-23067	266	1	however	however	ADV
brj-23067	266	2	,	,	PUNCT
brj-23067	266	3	it	it	PRON
brj-23067	266	4	is	be	AUX
brj-23067	266	5	still	still	ADV
brj-23067	266	6	interesting	interesting	ADJ
brj-23067	266	7	to	to	PART
brj-23067	266	8	see	see	VERB
brj-23067	266	9	how	how	SCONJ
brj-23067	266	10	the	the	DET
brj-23067	266	11	collinearities	collinearitie	NOUN
brj-23067	266	12	are	be	AUX
brj-23067	266	13	reflected	reflect	VERB
brj-23067	266	14	by	by	ADP
brj-23067	266	15	the	the	DET
brj-23067	266	16	vif	vif	NOUN
brj-23067	266	17	in	in	ADP
brj-23067	266	18	table	table	NOUN
brj-23067	266	19	2	2	NUM
brj-23067	266	20	.	.	PUNCT
brj-23067	266	21	table	table	NOUN
brj-23067	266	22	2	2	NUM
brj-23067	266	23	.	.	X
brj-23067	266	24	variance	variance	NOUN
brj-23067	266	25	inflated	inflate	VERB
brj-23067	266	26	factors	factor	NOUN
brj-23067	266	27	for	for	ADP
brj-23067	266	28	the	the	DET
brj-23067	266	29	different	different	ADJ
brj-23067	266	30	model	model	NOUN
brj-23067	266	31	inputs	input	NOUN
brj-23067	266	32	variance	variance	NOUN
brj-23067	266	33	inflation	inflation	NOUN
brj-23067	266	34	factors	factor	VERB
brj-23067	266	35	c	c	VERB
brj-23067	266	36	a	a	DET
brj-23067	266	37	s	s	ADP
brj-23067	266	38	e	e	NOUN
brj-23067	266	39	s	s	PROPN
brj-23067	266	40	p	p	X
brj-23067	266	41	e	e	PROPN
brj-23067	266	42	d	d	X
brj-23067	266	43	il	il	PROPN
brj-23067	266	44	w	w	PROPN
brj-23067	266	45	f	f	PROPN
brj-23067	266	46	z	z	PROPN
brj-23067	267	1	d	d	PROPN
brj-23067	267	2	il	il	PROPN
brj-23067	267	3	w	w	PROPN
brj-23067	267	4	c	c	PROPN
brj-23067	267	5	d	d	PROPN
brj-23067	267	6	g	g	PROPN
brj-23067	267	7	a	a	DET
brj-23067	267	8	p	p	X
brj-23067	267	9	f	f	PROPN
brj-23067	267	10	z	z	NOUN
brj-23067	267	11	g	g	PROPN
brj-23067	267	12	a	a	DET
brj-23067	267	13	p	p	X
brj-23067	268	1	c	c	NOUN
brj-23067	269	1	d	d	X
brj-23067	269	2	c	c	NOUN
brj-23067	269	3	f	f	PROPN
brj-23067	270	1	z	z	NOUN
brj-23067	270	2	c	c	NOUN
brj-23067	271	1	c	c	PROPN
brj-23067	272	1	d	d	X
brj-23067	272	2	s	s	PROPN
brj-23067	272	3	te	te	PROPN
brj-23067	272	4	a	a	DET
brj-23067	272	5	m	m	NUM
brj-23067	272	6	5	5	NUM
brj-23067	272	7	s	s	PART
brj-23067	272	8	te	te	ADP
brj-23067	272	9	a	a	DET
brj-23067	272	10	m	m	NOUN
brj-23067	272	11	8	8	NUM
brj-23067	272	12	t	t	NOUN
brj-23067	272	13	m	m	VERB
brj-23067	272	14	a	a	DET
brj-23067	272	15	x	x	X
brj-23067	272	16	f	f	PROPN
brj-23067	272	17	z	z	NOUN
brj-23067	272	18	t	t	NOUN
brj-23067	272	19	c	c	PROPN
brj-23067	273	1	d	d	X
brj-23067	273	2	p	p	X
brj-23067	273	3	e	e	NOUN
brj-23067	273	4	r	r	NOUN
brj-23067	273	5	r	r	NOUN
brj-23067	273	6	f	f	NOUN
brj-23067	273	7	z	z	NOUN
brj-23067	273	8	r	r	NOUN
brj-23067	273	9	c	c	PROPN
brj-23067	273	10	d	d	X
brj-23067	273	11	s	s	VERB
brj-23067	273	12	a	a	PRON
brj-23067	273	13	w	w	NOUN
brj-23067	273	14	m	m	PROPN
brj-23067	273	15	il	il	PROPN
brj-23067	273	16	l	l	NOUN
brj-23067	273	17	1	1	NUM
brj-23067	273	18	11	11	NUM
brj-23067	273	19	7	7	NUM
brj-23067	273	20	8	8	NUM
brj-23067	273	21	40	40	NUM
brj-23067	273	22	194	194	NUM
brj-23067	273	23	127	127	NUM
brj-23067	273	24	65	65	NUM
brj-23067	273	25	143	143	NUM
brj-23067	273	26	139	139	NUM
brj-23067	273	27	12	12	NUM
brj-23067	273	28	2	2	NUM
brj-23067	273	29	10133	10133	NUM
brj-23067	273	30	10318	10318	NUM
brj-23067	273	31	1	1	NUM
brj-23067	273	32	2	2	NUM
brj-23067	273	33	1	1	NUM
brj-23067	273	34	1	1	NUM
brj-23067	273	35	1	1	NUM
brj-23067	273	36	1	1	NUM
brj-23067	273	37	1	1	NUM
brj-23067	273	38	3	3	NUM
brj-23067	273	39	6	6	NUM
brj-23067	273	40	42	42	NUM
brj-23067	273	41	15	15	NUM
brj-23067	273	42	97	97	NUM
brj-23067	273	43	122	122	NUM
brj-23067	273	44	7	7	NUM
brj-23067	273	45	2	2	NUM
brj-23067	273	46	79	79	NUM
brj-23067	273	47	62	62	NUM
brj-23067	273	48	1	1	NUM
brj-23067	273	49	4	4	NUM
brj-23067	273	50	1	1	NUM
brj-23067	273	51	2	2	NUM
brj-23067	273	52	1	1	NUM
brj-23067	273	53	1	1	NUM
brj-23067	273	54	1	1	NUM
brj-23067	273	55	1	1	NUM
brj-23067	273	56	5	5	NUM
brj-23067	273	57	2	2	NUM
brj-23067	273	58	2	2	NUM
brj-23067	273	59	1	1	NUM
brj-23067	273	60	1	1	NUM
brj-23067	273	61	1	1	NUM
brj-23067	273	62	2	2	NUM
brj-23067	273	63	1	1	NUM
brj-23067	273	64	1	1	NUM
brj-23067	273	65	6	6	NUM
brj-23067	273	66	2	2	NUM
brj-23067	273	67	2	2	NUM
brj-23067	273	68	2	2	NUM
brj-23067	273	69	1	1	NUM
brj-23067	273	70	1	1	NUM
brj-23067	273	71	2	2	NUM
brj-23067	273	72	3	3	NUM
brj-23067	273	73	1	1	NUM
brj-23067	273	74	1	1	NUM
brj-23067	273	75	7	7	NUM
brj-23067	273	76	2	2	NUM
brj-23067	273	77	2	2	NUM
brj-23067	273	78	1	1	NUM
brj-23067	273	79	1	1	NUM
brj-23067	273	80	1	1	NUM
brj-23067	273	81	2	2	NUM
brj-23067	273	82	3	3	NUM
brj-23067	273	83	1	1	NUM
brj-23067	273	84	1	1	NUM
brj-23067	273	85	8	8	NUM
brj-23067	273	86	5	5	NUM
brj-23067	273	87	2	2	NUM
brj-23067	273	88	2	2	NUM
brj-23067	273	89	1	1	NUM
brj-23067	273	90	1	1	NUM
brj-23067	273	91	2	2	NUM
brj-23067	273	92	6	6	NUM
brj-23067	273	93	1	1	NUM
brj-23067	273	94	4	4	NUM
brj-23067	273	95	1	1	NUM
brj-23067	273	96	spe	spe	NOUN
brj-23067	273	97	=	=	NOUN
brj-23067	273	98	specific	specific	ADJ
brj-23067	273	99	energy	energy	NOUN
brj-23067	273	100	,	,	PUNCT
brj-23067	273	101	gap	gap	NOUN
brj-23067	273	102	=	=	NOUN
brj-23067	273	103	distance	distance	NOUN
brj-23067	273	104	between	between	ADP
brj-23067	273	105	refining	refine	VERB
brj-23067	273	106	segments	segment	NOUN
brj-23067	273	107	in	in	ADP
brj-23067	273	108	fz	fz	NOUN
brj-23067	273	109	and	and	CCONJ
brj-23067	273	110	cd	cd	PROPN
brj-23067	273	111	,	,	PUNCT
brj-23067	273	112	cfz	cfz	NOUN
brj-23067	273	113	and	and	CCONJ
brj-23067	273	114	ccd	ccd	PROPN
brj-23067	273	115	=	=	NOUN
brj-23067	273	116	consistency	consistency	NOUN
brj-23067	273	117	in	in	ADP
brj-23067	273	118	fz	fz	NOUN
brj-23067	273	119	and	and	CCONJ
brj-23067	273	120	cd	cd	PROPN
brj-23067	273	121	,	,	PUNCT
brj-23067	273	122	rfz	rfz	NOUN
brj-23067	273	123	and	and	CCONJ
brj-23067	273	124	rcd=	rcd=	PROPN
brj-23067	273	125	fiber	fiber	NOUN
brj-23067	273	126	residence	residence	NOUN
brj-23067	273	127	time	time	NOUN
brj-23067	273	128	in	in	ADP
brj-23067	273	129	fz	fz	NOUN
brj-23067	273	130	and	and	CCONJ
brj-23067	273	131	cd	cd	PROPN
brj-23067	273	132	,	,	PUNCT
brj-23067	273	133	steam5	steam5	NOUN
brj-23067	273	134	and	and	CCONJ
brj-23067	273	135	steam8	steam8	NOUN
brj-23067	273	136	=	=	SYM
brj-23067	273	137	backward	backward	ADJ
brj-23067	273	138	flowing	flow	VERB
brj-23067	273	139	steam	steam	NOUN
brj-23067	273	140	in	in	ADP
brj-23067	273	141	5th	5th	ADJ
brj-23067	273	142	and	and	CCONJ
brj-23067	273	143	8th	8th	ADJ
brj-23067	273	144	position	position	NOUN
brj-23067	273	145	in	in	ADP
brj-23067	273	146	fz	fz	PROPN
brj-23067	273	147	,	,	PUNCT
brj-23067	273	148	tmaxfz=	tmaxfz=	NUM
brj-23067	273	149	maximum	maximum	ADJ
brj-23067	273	150	temperature	temperature	NOUN
brj-23067	273	151	in	in	ADP
brj-23067	273	152	fz	fz	NOUN
brj-23067	273	153	,	,	PUNCT
brj-23067	273	154	tcdper	tcdper	NOUN
brj-23067	273	155	=	=	NOUN
brj-23067	273	156	periphery	periphery	NOUN
brj-23067	273	157	temperature	temperature	NOUN
brj-23067	273	158	in	in	ADP
brj-23067	273	159	cd	cd	PROPN
brj-23067	273	160	.	.	PUNCT
brj-23067	274	1	sawmill	sawmill	PROPN
brj-23067	274	2	=	=	NOUN
brj-23067	274	3	percentage	percentage	NOUN
brj-23067	274	4	of	of	ADP
brj-23067	274	5	sawmill	sawmill	NOUN
brj-23067	274	6	chips	chip	NOUN
brj-23067	274	7	to	to	PART
brj-23067	274	8	refiner	refiner	VERB
brj-23067	274	9	shives	shive	NOUN
brj-23067	274	10	(	(	PUNCT
brj-23067	274	11	wide	wide	ADV
brj-23067	274	12	)	)	PUNCT
brj-23067	274	13	when	when	SCONJ
brj-23067	274	14	estimating	estimate	VERB
brj-23067	274	15	shives	shive	NOUN
brj-23067	274	16	(	(	PUNCT
brj-23067	274	17	wide	wide	ADV
brj-23067	274	18	)	)	PUNCT
brj-23067	274	19	using	use	VERB
brj-23067	274	20	the	the	DET
brj-23067	274	21	inputs	input	NOUN
brj-23067	274	22	based	base	VERB
brj-23067	274	23	on	on	ADP
brj-23067	274	24	case	case	NOUN
brj-23067	274	25	1	1	NUM
brj-23067	274	26	in	in	ADP
brj-23067	274	27	table	table	NOUN
brj-23067	274	28	2	2	NUM
brj-23067	274	29	,	,	PUNCT
brj-23067	274	30	the	the	DET
brj-23067	274	31	criteria	criterion	NOUN
brj-23067	274	32	for	for	ADP
brj-23067	274	33	pulp	pulp	NOUN
brj-23067	274	34	properties	property	NOUN
brj-23067	274	35	in	in	ADP
brj-23067	274	36	eq	eq	ADP
brj-23067	274	37	.	.	PROPN
brj-23067	274	38	7	7	NUM
brj-23067	274	39	will	will	AUX
brj-23067	274	40	be	be	AUX
brj-23067	274	41	fulfilled	fulfil	VERB
brj-23067	274	42	for	for	ADP
brj-23067	274	43	some	some	PRON
brj-23067	274	44	of	of	ADP
brj-23067	274	45	the	the	DET
brj-23067	274	46	models	model	NOUN
brj-23067	274	47	,	,	PUNCT
brj-23067	274	48	as	as	SCONJ
brj-23067	274	49	shown	show	VERB
brj-23067	274	50	in	in	ADP
brj-23067	274	51	fig	fig	NOUN
brj-23067	274	52	.	.	PUNCT
brj-23067	275	1	12	12	NUM
brj-23067	275	2	a.	a.	NOUN
brj-23067	275	3	it	it	PRON
brj-23067	275	4	is	be	AUX
brj-23067	275	5	also	also	ADV
brj-23067	275	6	worth	worth	ADJ
brj-23067	275	7	mentioning	mention	VERB
brj-23067	275	8	that	that	SCONJ
brj-23067	275	9	the	the	DET
brj-23067	275	10	use	use	NOUN
brj-23067	275	11	of	of	ADP
brj-23067	275	12	just	just	ADV
brj-23067	275	13	external	external	ADJ
brj-23067	275	14	variables	variable	NOUN
brj-23067	275	15	in	in	ADP
brj-23067	275	16	case	case	NOUN
brj-23067	275	17	2	2	NUM
brj-23067	275	18	will	will	AUX
brj-23067	275	19	not	not	PART
brj-23067	275	20	result	result	VERB
brj-23067	275	21	in	in	ADP
brj-23067	275	22	any	any	DET
brj-23067	275	23	acceptable	acceptable	ADJ
brj-23067	275	24	models	model	NOUN
brj-23067	275	25	even	even	ADV
brj-23067	275	26	though	though	SCONJ
brj-23067	275	27	the	the	DET
brj-23067	275	28	specific	specific	ADJ
brj-23067	275	29	energy	energy	NOUN
brj-23067	275	30	is	be	AUX
brj-23067	275	31	split	split	VERB
brj-23067	275	32	into	into	ADP
brj-23067	275	33	motor	motor	NOUN
brj-23067	275	34	load	load	NOUN
brj-23067	275	35	and	and	CCONJ
brj-23067	275	36	production	production	NOUN
brj-23067	275	37	as	as	ADP
brj-23067	275	38	inputs	input	NOUN
brj-23067	275	39	.	.	PUNCT
brj-23067	276	1	it	it	PRON
brj-23067	276	2	is	be	AUX
brj-23067	276	3	notable	notable	ADJ
brj-23067	276	4	to	to	PART
brj-23067	276	5	observe	observe	VERB
brj-23067	276	6	that	that	SCONJ
brj-23067	276	7	when	when	SCONJ
brj-23067	276	8	adding	add	VERB
brj-23067	276	9	the	the	DET
brj-23067	276	10	sawmill	sawmill	NOUN
brj-23067	276	11	chip	chip	NOUN
brj-23067	276	12	content	content	NOUN
brj-23067	276	13	as	as	ADP
brj-23067	276	14	an	an	DET
brj-23067	276	15	input	input	NOUN
brj-23067	276	16	(	(	PUNCT
brj-23067	276	17	case	case	NOUN
brj-23067	276	18	4	4	NUM
brj-23067	276	19	)	)	PUNCT
brj-23067	276	20	,	,	PUNCT
brj-23067	276	21	one	one	NUM
brj-23067	276	22	model	model	NOUN
brj-23067	276	23	represented	represent	VERB
brj-23067	276	24	by	by	ADP
brj-23067	276	25	the	the	DET
brj-23067	276	26	green	green	ADJ
brj-23067	276	27	dot	dot	NOUN
brj-23067	276	28	in	in	ADP
brj-23067	276	29	fig	fig	NOUN
brj-23067	276	30	.	.	PUNCT
brj-23067	277	1	12a	12a	NOUN
brj-23067	277	2	will	will	AUX
brj-23067	277	3	meet	meet	VERB
brj-23067	277	4	the	the	DET
brj-23067	277	5	criteria	criterion	NOUN
brj-23067	277	6	in	in	ADP
brj-23067	277	7	eq	eq	NOUN
brj-23067	277	8	.	.	PROPN
brj-23067	277	9	7	7	X
brj-23067	277	10	.	.	X
brj-23067	277	11	therefore	therefore	ADV
brj-23067	277	12	,	,	PUNCT
brj-23067	277	13	also	also	ADV
brj-23067	277	14	in	in	ADP
brj-23067	277	15	this	this	DET
brj-23067	277	16	case	case	NOUN
brj-23067	277	17	it	it	PRON
brj-23067	277	18	is	be	AUX
brj-23067	277	19	indicated	indicate	VERB
brj-23067	277	20	that	that	SCONJ
brj-23067	277	21	the	the	DET
brj-23067	277	22	sawmill	sawmill	NOUN
brj-23067	277	23	chip	chip	NOUN
brj-23067	277	24	content	content	NOUN
brj-23067	277	25	is	be	AUX
brj-23067	277	26	vital	vital	ADJ
brj-23067	277	27	to	to	PART
brj-23067	277	28	include	include	VERB
brj-23067	277	29	as	as	ADP
brj-23067	277	30	an	an	DET
brj-23067	277	31	input	input	NOUN
brj-23067	277	32	in	in	ADP
brj-23067	277	33	all	all	DET
brj-23067	277	34	models	model	NOUN
brj-23067	277	35	.	.	PUNCT
brj-23067	278	1	when	when	SCONJ
brj-23067	278	2	reducing	reduce	VERB
brj-23067	278	3	the	the	DET
brj-23067	278	4	model	model	NOUN
brj-23067	278	5	complexity	complexity	NOUN
brj-23067	278	6	of	of	ADP
brj-23067	278	7	case	case	NOUN
brj-23067	278	8	1	1	NUM
brj-23067	278	9	in	in	ADP
brj-23067	278	10	fig	fig	NOUN
brj-23067	278	11	.	.	PUNCT
brj-23067	279	1	12	12	NUM
brj-23067	279	2	,	,	PUNCT
brj-23067	279	3	it	it	PRON
brj-23067	279	4	can	can	AUX
brj-23067	279	5	be	be	AUX
brj-23067	279	6	seen	see	VERB
brj-23067	279	7	that	that	DET
brj-23067	279	8	case	case	NOUN
brj-23067	279	9	5	5	NUM
brj-23067	279	10	through	through	ADP
brj-23067	279	11	case	case	NOUN
brj-23067	279	12	7	7	NUM
brj-23067	279	13	seem	seem	VERB
brj-23067	279	14	to	to	PART
brj-23067	279	15	provide	provide	VERB
brj-23067	279	16	similar	similar	ADJ
brj-23067	279	17	performance	performance	NOUN
brj-23067	279	18	as	as	ADP
brj-23067	279	19	the	the	DET
brj-23067	279	20	ensemble	ensemble	NOUN
brj-23067	279	21	of	of	ADP
brj-23067	279	22	models	model	NOUN
brj-23067	279	23	in	in	ADP
brj-23067	279	24	case	case	NOUN
brj-23067	279	25	1	1	NUM
brj-23067	279	26	.	.	PUNCT
brj-23067	280	1	a	a	DET
brj-23067	280	2	closer	close	ADJ
brj-23067	280	3	look	look	NOUN
brj-23067	280	4	at	at	ADP
brj-23067	280	5	the	the	DET
brj-23067	280	6	plots	plot	NOUN
brj-23067	280	7	in	in	ADP
brj-23067	280	8	fig	fig	NOUN
brj-23067	280	9	.	.	PUNCT
brj-23067	281	1	12	12	NUM
brj-23067	281	2	,	,	PUNCT
brj-23067	281	3	shows	show	VERB
brj-23067	281	4	that	that	SCONJ
brj-23067	281	5	the	the	DET
brj-23067	281	6	best	good	ADJ
brj-23067	281	7	fits	fit	NOUN
brj-23067	281	8	did	do	AUX
brj-23067	281	9	not	not	PART
brj-23067	281	10	exceed	exceed	VERB
brj-23067	281	11	an	an	DET
brj-23067	281	12	r2	r2	NOUN
brj-23067	281	13	>	>	X
brj-23067	281	14	0.88	0.88	NUM
brj-23067	281	15	for	for	ADP
brj-23067	281	16	the	the	DET
brj-23067	281	17	training	training	NOUN
brj-23067	281	18	sets	set	NOUN
brj-23067	281	19	.	.	PUNCT
brj-23067	282	1	through	through	ADP
brj-23067	282	2	using	use	VERB
brj-23067	282	3	the	the	DET
brj-23067	282	4	procedure	procedure	NOUN
brj-23067	282	5	described	describe	VERB
brj-23067	282	6	in	in	ADP
brj-23067	282	7	eq	eq	PROPN
brj-23067	282	8	.	.	PROPN
brj-23067	282	9	8	8	NUM
brj-23067	282	10	,	,	PUNCT
brj-23067	282	11	the	the	DET
brj-23067	282	12	cases	case	NOUN
brj-23067	282	13	can	can	AUX
brj-23067	282	14	be	be	AUX
brj-23067	282	15	further	far	ADV
brj-23067	282	16	compared	compare	VERB
brj-23067	282	17	.	.	PUNCT
brj-23067	283	1	as	as	SCONJ
brj-23067	283	2	can	can	AUX
brj-23067	283	3	be	be	AUX
brj-23067	283	4	seen	see	VERB
brj-23067	283	5	in	in	ADP
brj-23067	283	6	table	table	NOUN
brj-23067	283	7	3	3	NUM
brj-23067	283	8	,	,	PUNCT
brj-23067	283	9	the	the	DET
brj-23067	283	10	training	training	NOUN
brj-23067	283	11	set	set	NOUN
brj-23067	283	12	of	of	ADP
brj-23067	283	13	case	case	NOUN
brj-23067	283	14	1	1	NUM
brj-23067	283	15	outperformed	outperform	VERB
brj-23067	283	16	case	case	NOUN
brj-23067	283	17	peer	peer	NOUN
brj-23067	283	18	-	-	PUNCT
brj-23067	283	19	reviewed	review	VERB
brj-23067	283	20	article	article	NOUN
brj-23067	283	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	283	22	karlström	karlström	PROPN
brj-23067	283	23	et	et	PROPN
brj-23067	283	24	al	al	PROPN
brj-23067	283	25	.	.	PROPN
brj-23067	284	1	(	(	PUNCT
brj-23067	284	2	2024	2024	NUM
brj-23067	284	3	)	)	PUNCT
brj-23067	284	4	.	.	PUNCT
brj-23067	285	1	“	"	PUNCT
brj-23067	285	2	soft	soft	ADJ
brj-23067	285	3	sensors	sensor	NOUN
brj-23067	285	4	in	in	ADP
brj-23067	285	5	refining	refining	NOUN
brj-23067	285	6	,	,	PUNCT
brj-23067	285	7	”	"	PUNCT
brj-23067	285	8	bioresources	bioresource	NOUN
brj-23067	285	9	19(1	19(1	NUM
brj-23067	285	10	)	)	PUNCT
brj-23067	285	11	,	,	PUNCT
brj-23067	285	12	1030	1030	NUM
brj-23067	285	13	-	-	SYM
brj-23067	285	14	1057	1057	NUM
brj-23067	285	15	.	.	PUNCT
brj-23067	286	1	1045	1045	NUM
brj-23067	286	2	5	5	NUM
brj-23067	286	3	through	through	ADP
brj-23067	286	4	case	case	NOUN
brj-23067	286	5	7	7	NUM
brj-23067	286	6	,	,	PUNCT
brj-23067	286	7	even	even	ADV
brj-23067	286	8	though	though	SCONJ
brj-23067	286	9	the	the	DET
brj-23067	286	10	number	number	NOUN
brj-23067	286	11	of	of	ADP
brj-23067	286	12	models	model	NOUN
brj-23067	286	13	was	be	AUX
brj-23067	286	14	smaller	small	ADJ
brj-23067	286	15	(	(	PUNCT
brj-23067	286	16	15	15	NUM
brj-23067	286	17	against	against	ADP
brj-23067	286	18	24	24	NUM
brj-23067	286	19	)	)	PUNCT
brj-23067	286	20	.	.	PUNCT
brj-23067	287	1	this	this	PRON
brj-23067	287	2	is	be	AUX
brj-23067	287	3	,	,	PUNCT
brj-23067	287	4	to	to	ADP
brj-23067	287	5	some	some	DET
brj-23067	287	6	extent	extent	NOUN
brj-23067	287	7	,	,	PUNCT
brj-23067	287	8	expected	expect	VERB
brj-23067	287	9	,	,	PUNCT
brj-23067	287	10	as	as	SCONJ
brj-23067	287	11	case	case	NOUN
brj-23067	287	12	1	1	NUM
brj-23067	287	13	can	can	AUX
brj-23067	287	14	handle	handle	VERB
brj-23067	287	15	more	more	ADJ
brj-23067	287	16	input	input	NOUN
brj-23067	287	17	combinations	combination	NOUN
brj-23067	287	18	and	and	CCONJ
brj-23067	287	19	thereby	thereby	ADV
brj-23067	287	20	include	include	VERB
brj-23067	287	21	more	more	ADJ
brj-23067	287	22	process	process	NOUN
brj-23067	287	23	non	non	NOUN
brj-23067	287	24	-	-	NOUN
brj-23067	287	25	linearities	linearity	NOUN
brj-23067	287	26	.	.	PUNCT
brj-23067	288	1	fig	fig	NOUN
brj-23067	288	2	.	.	PUNCT
brj-23067	289	1	12	12	NUM
brj-23067	289	2	.	.	PUNCT
brj-23067	290	1	estimated	estimate	VERB
brj-23067	290	2	r2	r2	NOUN
brj-23067	290	3	for	for	ADP
brj-23067	290	4	shives	shive	NOUN
brj-23067	290	5	(	(	PUNCT
brj-23067	290	6	wide	wide	ADJ
brj-23067	290	7	)	)	PUNCT
brj-23067	290	8	.	.	PUNCT
brj-23067	291	1	figure	figure	VERB
brj-23067	291	2	a	a	PRON
brj-23067	291	3	)	)	PUNCT
brj-23067	291	4	–	–	PUNCT
brj-23067	291	5	case	case	NOUN
brj-23067	291	6	1	1	NUM
brj-23067	291	7	(	(	PUNCT
brj-23067	291	8	all	all	DET
brj-23067	291	9	input	input	NOUN
brj-23067	291	10	candidates	candidate	NOUN
brj-23067	291	11	included	include	VERB
brj-23067	291	12	;	;	PUNCT
brj-23067	291	13	red	red	NOUN
brj-23067	291	14	accepted	accept	VERB
brj-23067	291	15	)	)	PUNCT
brj-23067	291	16	,	,	PUNCT
brj-23067	291	17	case	case	NOUN
brj-23067	291	18	2	2	NUM
brj-23067	291	19	(	(	PUNCT
brj-23067	291	20	external	external	ADJ
brj-23067	291	21	inputs	input	NOUN
brj-23067	291	22	only	only	ADV
brj-23067	291	23	;	;	PUNCT
brj-23067	291	24	no	no	DET
brj-23067	291	25	models	model	NOUN
brj-23067	291	26	accepted	accept	VERB
brj-23067	291	27	)	)	PUNCT
brj-23067	291	28	and	and	CCONJ
brj-23067	291	29	case	case	NOUN
brj-23067	291	30	4	4	NUM
brj-23067	291	31	(	(	PUNCT
brj-23067	291	32	external	external	ADJ
brj-23067	291	33	inputs	input	NOUN
brj-23067	291	34	including	include	VERB
brj-23067	291	35	the	the	DET
brj-23067	291	36	sawmill	sawmill	NOUN
brj-23067	291	37	chips	chip	NOUN
brj-23067	291	38	contentgreen	contentgreen	PROPN
brj-23067	291	39	accepted	accept	VERB
brj-23067	291	40	)	)	PUNCT
brj-23067	291	41	.	.	PUNCT
brj-23067	292	1	for	for	ADP
brj-23067	292	2	the	the	DET
brj-23067	292	3	figure	figure	NOUN
brj-23067	292	4	b	b	NOUN
brj-23067	292	5	)	)	PUNCT
brj-23067	292	6	case	case	NOUN
brj-23067	292	7	5	5	NUM
brj-23067	292	8	through	through	ADP
brj-23067	292	9	figure	figure	NOUN
brj-23067	292	10	part	part	NOUN
brj-23067	292	11	c	c	NOUN
brj-23067	292	12	)	)	PUNCT
brj-23067	292	13	case	case	NOUN
brj-23067	292	14	6	6	NUM
brj-23067	292	15	and	and	CCONJ
brj-23067	292	16	part	part	NOUN
brj-23067	292	17	d	d	NOUN
brj-23067	292	18	)	)	PUNCT
brj-23067	292	19	–	–	PUNCT
brj-23067	292	20	case	case	NOUN
brj-23067	292	21	7	7	NUM
brj-23067	292	22	,	,	PUNCT
brj-23067	292	23	see	see	VERB
brj-23067	292	24	table	table	NOUN
brj-23067	292	25	2	2	NUM
brj-23067	292	26	for	for	ADP
brj-23067	292	27	corresponding	correspond	VERB
brj-23067	292	28	input	input	NOUN
brj-23067	292	29	combinations	combination	NOUN
brj-23067	292	30	.	.	PUNCT
brj-23067	293	1	table	table	NOUN
brj-23067	293	2	3	3	NUM
brj-23067	293	3	.	.	PUNCT
brj-23067	294	1	r2	r2	PROPN
brj-23067	294	2	for	for	ADP
brj-23067	294	3	the	the	DET
brj-23067	294	4	training	training	NOUN
brj-23067	294	5	and	and	CCONJ
brj-23067	294	6	the	the	DET
brj-23067	294	7	validation	validation	NOUN
brj-23067	294	8	sets	set	NOUN
brj-23067	294	9	based	base	VERB
brj-23067	294	10	on	on	ADP
brj-23067	294	11	a	a	DET
brj-23067	294	12	normalized	normalize	VERB
brj-23067	294	13	weight	weight	NOUN
brj-23067	294	14	on	on	ADP
brj-23067	294	15	the	the	DET
brj-23067	294	16	ensemble	ensemble	NOUN
brj-23067	294	17	of	of	ADP
brj-23067	294	18	models	model	NOUN
brj-23067	294	19	from	from	ADP
brj-23067	294	20	case	case	NOUN
brj-23067	294	21	1	1	NUM
brj-23067	294	22	,	,	PUNCT
brj-23067	294	23	and	and	CCONJ
brj-23067	294	24	case	case	NOUN
brj-23067	294	25	5	5	NUM
brj-23067	294	26	through	through	ADP
brj-23067	294	27	case	case	NOUN
brj-23067	294	28	7	7	NUM
brj-23067	294	29	models	model	NOUN
brj-23067	294	30	based	base	VERB
brj-23067	294	31	on	on	ADP
brj-23067	294	32	the	the	DET
brj-23067	294	33	ensemble	ensemble	NOUN
brj-23067	294	34	of	of	ADP
brj-23067	294	35	case	case	NOUN
brj-23067	294	36	1	1	NUM
brj-23067	294	37	models	model	NOUN
brj-23067	294	38	based	base	VERB
brj-23067	294	39	on	on	ADP
brj-23067	294	40	the	the	DET
brj-23067	294	41	ensemble	ensemble	NOUN
brj-23067	294	42	of	of	ADP
brj-23067	294	43	case	case	NOUN
brj-23067	294	44	6	6	NUM
brj-23067	294	45	weighted	weight	VERB
brj-23067	294	46	by	by	ADP
brj-23067	294	47	;	;	PUNCT
brj-23067	294	48	r2	r2	PROPN
brj-23067	294	49	train	train	PROPN
brj-23067	294	50	r2	r2	PROPN
brj-23067	294	51	validation	validation	NOUN
brj-23067	294	52	weighted	weight	VERB
brj-23067	294	53	by	by	ADP
brj-23067	294	54	;	;	PUNCT
brj-23067	294	55	r2	r2	PROPN
brj-23067	294	56	train	train	PROPN
brj-23067	294	57	r2	r2	PROPN
brj-23067	294	58	validation	validation	PROPN
brj-23067	294	59	train	train	NOUN
brj-23067	294	60	set	set	VERB
brj-23067	294	61	0.88	0.88	NUM
brj-23067	294	62	0.71	0.71	NUM
brj-23067	294	63	train	train	NOUN
brj-23067	294	64	set	set	VERB
brj-23067	294	65	0.84	0.84	NUM
brj-23067	294	66	0.66	0.66	NUM
brj-23067	294	67	validation	validation	NOUN
brj-23067	294	68	set	set	VERB
brj-23067	294	69	0.87	0.87	NUM
brj-23067	294	70	0.73	0.73	NUM
brj-23067	294	71	validation	validation	NOUN
brj-23067	294	72	set	set	VERB
brj-23067	294	73	0.83	0.83	NUM
brj-23067	294	74	0.68	0.68	NUM
brj-23067	294	75	length	length	NOUN
brj-23067	294	76	*	*	NOUN
brj-23067	294	77	0.88	0.88	NUM
brj-23067	294	78	0.72	0.72	NUM
brj-23067	294	79	length	length	NOUN
brj-23067	294	80	*	*	NOUN
brj-23067	294	81	0.83	0.83	NUM
brj-23067	294	82	0.67	0.67	NUM
brj-23067	294	83	models	model	NOUN
brj-23067	294	84	based	base	VERB
brj-23067	294	85	on	on	ADP
brj-23067	294	86	the	the	DET
brj-23067	294	87	ensemble	ensemble	NOUN
brj-23067	294	88	of	of	ADP
brj-23067	294	89	case	case	NOUN
brj-23067	294	90	5	5	NUM
brj-23067	294	91	models	model	NOUN
brj-23067	294	92	based	base	VERB
brj-23067	294	93	on	on	ADP
brj-23067	294	94	the	the	DET
brj-23067	294	95	ensemble	ensemble	NOUN
brj-23067	294	96	of	of	ADP
brj-23067	294	97	case	case	NOUN
brj-23067	294	98	7	7	NUM
brj-23067	294	99	weighted	weight	VERB
brj-23067	294	100	by	by	ADP
brj-23067	294	101	;	;	PUNCT
brj-23067	294	102	r2	r2	PROPN
brj-23067	294	103	train	train	PROPN
brj-23067	294	104	r2	r2	PROPN
brj-23067	294	105	validation	validation	NOUN
brj-23067	294	106	weighted	weight	VERB
brj-23067	294	107	by	by	ADP
brj-23067	294	108	;	;	PUNCT
brj-23067	294	109	r2	r2	PROPN
brj-23067	294	110	train	train	PROPN
brj-23067	294	111	r2	r2	PROPN
brj-23067	294	112	validation	validation	PROPN
brj-23067	294	113	train	train	NOUN
brj-23067	294	114	set	set	VERB
brj-23067	294	115	0.83	0.83	NUM
brj-23067	294	116	0.72	0.72	NUM
brj-23067	294	117	train	train	NOUN
brj-23067	294	118	set	set	VERB
brj-23067	294	119	0.84	0.84	NUM
brj-23067	294	120	0.67	0.67	NUM
brj-23067	294	121	validation	validation	NOUN
brj-23067	294	122	set	set	VERB
brj-23067	294	123	0.82	0.82	NUM
brj-23067	294	124	0.75	0.75	NUM
brj-23067	294	125	validation	validation	NOUN
brj-23067	294	126	set	set	VERB
brj-23067	294	127	0.83	0.83	NUM
brj-23067	294	128	0.68	0.68	NUM
brj-23067	294	129	length	length	NOUN
brj-23067	294	130	*	*	NOUN
brj-23067	294	131	0.83	0.83	NUM
brj-23067	294	132	0.74	0.74	NUM
brj-23067	294	133	length	length	NOUN
brj-23067	294	134	*	*	NOUN
brj-23067	294	135	0.84	0.84	NUM
brj-23067	294	136	0.68	0.68	NUM
brj-23067	294	137	*	*	NOUN
brj-23067	294	138	)	)	PUNCT
brj-23067	294	139	length	length	NOUN
brj-23067	294	140	of	of	ADP
brj-23067	294	141	the	the	DET
brj-23067	294	142	hypotenuse	hypotenuse	NOUN
brj-23067	294	143	,	,	PUNCT
brj-23067	294	144	where	where	SCONJ
brj-23067	294	145	training	training	NOUN
brj-23067	294	146	and	and	CCONJ
brj-23067	294	147	validation	validation	NOUN
brj-23067	294	148	ensembles	ensemble	NOUN
brj-23067	294	149	are	be	AUX
brj-23067	294	150	legs	leg	NOUN
brj-23067	294	151	(	(	PUNCT
brj-23067	294	152	r2	r2	PROPN
brj-23067	294	153	train	train	NOUN
brj-23067	294	154	and	and	CCONJ
brj-23067	294	155	r2	r2	PROPN
brj-23067	294	156	val	val	PROPN
brj-23067	294	157	.	.	PUNCT
brj-23067	294	158	)	)	PUNCT
brj-23067	294	159	of	of	ADP
brj-23067	294	160	the	the	DET
brj-23067	294	161	triangle	triangle	NOUN
brj-23067	294	162	note	note	NOUN
brj-23067	294	163	:	:	PUNCT
brj-23067	294	164	see	see	VERB
brj-23067	294	165	eq	eq	ADP
brj-23067	294	166	.	.	PROPN
brj-23067	294	167	8	8	NUM
brj-23067	294	168	,	,	PUNCT
brj-23067	294	169	filter	filter	NOUN
brj-23067	294	170	:	:	PUNCT
brj-23067	294	171	window	window	NOUN
brj-23067	294	172	size	size	NOUN
brj-23067	294	173	is	be	AUX
brj-23067	294	174	4000	4000	NUM
brj-23067	294	175	samples	sample	NOUN
brj-23067	294	176	peer	peer	NOUN
brj-23067	294	177	-	-	PUNCT
brj-23067	294	178	reviewed	review	VERB
brj-23067	294	179	article	article	NOUN
brj-23067	294	180	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	294	181	karlström	karlström	PROPN
brj-23067	294	182	et	et	PROPN
brj-23067	294	183	al	al	PROPN
brj-23067	294	184	.	.	PROPN
brj-23067	295	1	(	(	PUNCT
brj-23067	295	2	2024	2024	NUM
brj-23067	295	3	)	)	PUNCT
brj-23067	295	4	.	.	PUNCT
brj-23067	296	1	“	"	PUNCT
brj-23067	296	2	soft	soft	ADJ
brj-23067	296	3	sensors	sensor	NOUN
brj-23067	296	4	in	in	ADP
brj-23067	296	5	refining	refining	NOUN
brj-23067	296	6	,	,	PUNCT
brj-23067	296	7	”	"	PUNCT
brj-23067	296	8	bioresources	bioresource	NOUN
brj-23067	296	9	19(1	19(1	NUM
brj-23067	296	10	)	)	PUNCT
brj-23067	296	11	,	,	PUNCT
brj-23067	296	12	1030	1030	NUM
brj-23067	296	13	-	-	SYM
brj-23067	296	14	1057	1057	NUM
brj-23067	296	15	.	.	PUNCT
brj-23067	297	1	1046	1046	NUM
brj-23067	297	2	it	it	PRON
brj-23067	297	3	is	be	AUX
brj-23067	297	4	also	also	ADV
brj-23067	297	5	noteworthy	noteworthy	ADJ
brj-23067	297	6	that	that	SCONJ
brj-23067	297	7	an	an	DET
brj-23067	297	8	improvement	improvement	NOUN
brj-23067	297	9	in	in	ADP
brj-23067	297	10	accuracy	accuracy	NOUN
brj-23067	297	11	was	be	AUX
brj-23067	297	12	not	not	PART
brj-23067	297	13	achieved	achieve	VERB
brj-23067	297	14	,	,	PUNCT
brj-23067	297	15	despite	despite	SCONJ
brj-23067	297	16	the	the	DET
brj-23067	297	17	fact	fact	NOUN
brj-23067	297	18	that	that	SCONJ
brj-23067	297	19	the	the	DET
brj-23067	297	20	size	size	NOUN
brj-23067	297	21	of	of	ADP
brj-23067	297	22	the	the	DET
brj-23067	297	23	training	training	NOUN
brj-23067	297	24	set	set	NOUN
brj-23067	297	25	was	be	AUX
brj-23067	297	26	increased	increase	VERB
brj-23067	297	27	from	from	ADP
brj-23067	297	28	70	70	NUM
brj-23067	297	29	%	%	NOUN
brj-23067	297	30	to	to	PART
brj-23067	297	31	90	90	NUM
brj-23067	297	32	%	%	NOUN
brj-23067	297	33	of	of	ADP
brj-23067	297	34	the	the	DET
brj-23067	297	35	time	time	NOUN
brj-23067	297	36	series	series	NOUN
brj-23067	297	37	,	,	PUNCT
brj-23067	297	38	as	as	SCONJ
brj-23067	297	39	shown	show	VERB
brj-23067	297	40	in	in	ADP
brj-23067	297	41	fig	fig	NOUN
brj-23067	297	42	.	.	PUNCT
brj-23067	298	1	13	13	NUM
brj-23067	298	2	.	.	PUNCT
brj-23067	299	1	in	in	ADP
brj-23067	299	2	contrast	contrast	NOUN
brj-23067	299	3	,	,	PUNCT
brj-23067	299	4	the	the	DET
brj-23067	299	5	number	number	NOUN
brj-23067	299	6	of	of	ADP
brj-23067	299	7	accepted	accept	VERB
brj-23067	299	8	models	model	NOUN
brj-23067	299	9	increased	increase	VERB
brj-23067	299	10	drastically	drastically	ADV
brj-23067	299	11	from	from	ADP
brj-23067	299	12	15	15	NUM
brj-23067	299	13	to	to	ADP
brj-23067	299	14	41	41	NUM
brj-23067	299	15	for	for	ADP
brj-23067	299	16	case	case	NOUN
brj-23067	299	17	1	1	NUM
brj-23067	299	18	due	due	ADP
brj-23067	299	19	to	to	ADP
brj-23067	299	20	the	the	DET
brj-23067	299	21	smaller	small	ADJ
brj-23067	299	22	validation	validation	NOUN
brj-23067	299	23	set	set	NOUN
brj-23067	299	24	.	.	PUNCT
brj-23067	300	1	fig	fig	NOUN
brj-23067	300	2	.	.	PUNCT
brj-23067	301	1	13	13	NUM
brj-23067	301	2	.	.	PUNCT
brj-23067	301	3	estimated	estimate	VERB
brj-23067	301	4	r2	r2	NOUN
brj-23067	301	5	for	for	ADP
brj-23067	301	6	shives	shive	NOUN
brj-23067	301	7	(	(	PUNCT
brj-23067	301	8	wide	wide	ADV
brj-23067	301	9	)	)	PUNCT
brj-23067	301	10	for	for	ADP
brj-23067	301	11	case	case	NOUN
brj-23067	301	12	1	1	NUM
brj-23067	301	13	in	in	ADP
brj-23067	301	14	table	table	NOUN
brj-23067	301	15	2	2	NUM
brj-23067	301	16	when	when	SCONJ
brj-23067	301	17	increasing	increase	VERB
brj-23067	301	18	the	the	DET
brj-23067	301	19	training	training	NOUN
brj-23067	301	20	set	set	VERB
brj-23067	301	21	from	from	ADP
brj-23067	301	22	70	70	NUM
brj-23067	301	23	%	%	NOUN
brj-23067	301	24	to	to	PART
brj-23067	301	25	90	90	NUM
brj-23067	301	26	%	%	NOUN
brj-23067	301	27	of	of	ADP
brj-23067	301	28	the	the	DET
brj-23067	301	29	time	time	NOUN
brj-23067	301	30	series	series	NOUN
brj-23067	301	31	.	.	PUNCT
brj-23067	302	1	when	when	SCONJ
brj-23067	302	2	it	it	PRON
brj-23067	302	3	comes	come	VERB
brj-23067	302	4	to	to	ADP
brj-23067	302	5	the	the	DET
brj-23067	302	6	traditional	traditional	ADJ
brj-23067	302	7	way	way	NOUN
brj-23067	302	8	to	to	PART
brj-23067	302	9	interpret	interpret	VERB
brj-23067	302	10	vif	vif	PROPN
brj-23067	302	11	,	,	PUNCT
brj-23067	302	12	it	it	PRON
brj-23067	302	13	is	be	AUX
brj-23067	302	14	also	also	ADV
brj-23067	302	15	worth	worth	ADJ
brj-23067	302	16	mentioning	mention	VERB
brj-23067	302	17	that	that	SCONJ
brj-23067	302	18	the	the	DET
brj-23067	302	19	large	large	ADJ
brj-23067	302	20	values	value	NOUN
brj-23067	302	21	of	of	ADP
brj-23067	302	22	vif	vif	NOUN
brj-23067	302	23	for	for	ADP
brj-23067	302	24	the	the	DET
brj-23067	302	25	fiber	fiber	NOUN
brj-23067	302	26	residence	residence	NOUN
brj-23067	302	27	time	time	NOUN
brj-23067	302	28	in	in	ADP
brj-23067	302	29	the	the	DET
brj-23067	302	30	refining	refining	NOUN
brj-23067	302	31	zones	zone	NOUN
brj-23067	302	32	(	(	PUNCT
brj-23067	302	33	case	case	NOUN
brj-23067	302	34	1	1	NUM
brj-23067	302	35	)	)	PUNCT
brj-23067	302	36	seemed	seem	VERB
brj-23067	302	37	to	to	PART
brj-23067	302	38	have	have	VERB
brj-23067	302	39	a	a	DET
brj-23067	302	40	limited	limited	ADJ
brj-23067	302	41	impact	impact	NOUN
brj-23067	302	42	on	on	ADP
brj-23067	302	43	the	the	DET
brj-23067	302	44	robustness	robustness	NOUN
brj-23067	302	45	of	of	ADP
brj-23067	302	46	the	the	DET
brj-23067	302	47	model	model	NOUN
brj-23067	302	48	responses	response	NOUN
brj-23067	302	49	in	in	ADP
brj-23067	302	50	the	the	DET
brj-23067	302	51	ensembles	ensemble	NOUN
brj-23067	302	52	,	,	PUNCT
brj-23067	302	53	as	as	SCONJ
brj-23067	302	54	shown	show	VERB
brj-23067	302	55	in	in	ADP
brj-23067	302	56	fig	fig	NOUN
brj-23067	302	57	.	.	PUNCT
brj-23067	303	1	14a	14a	NOUN
brj-23067	303	2	.	.	PUNCT
brj-23067	303	3	which	which	DET
brj-23067	303	4	model	model	NOUN
brj-23067	303	5	to	to	PART
brj-23067	303	6	choose	choose	VERB
brj-23067	303	7	is	be	AUX
brj-23067	303	8	hard	hard	ADJ
brj-23067	303	9	to	to	PART
brj-23067	303	10	decide	decide	VERB
brj-23067	303	11	on	on	ADP
brj-23067	303	12	beforehand	beforehand	ADV
brj-23067	303	13	,	,	PUNCT
brj-23067	303	14	but	but	CCONJ
brj-23067	303	15	if	if	SCONJ
brj-23067	303	16	the	the	DET
brj-23067	303	17	procedure	procedure	NOUN
brj-23067	303	18	in	in	ADP
brj-23067	303	19	eq	eq	NOUN
brj-23067	303	20	.	.	PROPN
brj-23067	303	21	8	8	NUM
brj-23067	303	22	is	be	AUX
brj-23067	303	23	applied	apply	VERB
brj-23067	303	24	to	to	ADP
brj-23067	303	25	the	the	DET
brj-23067	303	26	training	training	NOUN
brj-23067	303	27	set	set	NOUN
brj-23067	303	28	,	,	PUNCT
brj-23067	303	29	a	a	DET
brj-23067	303	30	quite	quite	ADV
brj-23067	303	31	good	good	ADJ
brj-23067	303	32	response	response	NOUN
brj-23067	303	33	in	in	ADP
brj-23067	303	34	shives	shive	NOUN
brj-23067	303	35	(	(	PUNCT
brj-23067	303	36	wide	wide	ADV
brj-23067	303	37	)	)	PUNCT
brj-23067	303	38	is	be	AUX
brj-23067	303	39	obtained	obtain	VERB
brj-23067	303	40	,	,	PUNCT
brj-23067	303	41	as	as	SCONJ
brj-23067	303	42	shown	show	VERB
brj-23067	303	43	in	in	ADP
brj-23067	303	44	fig	fig	NOUN
brj-23067	303	45	.	.	PUNCT
brj-23067	304	1	14b	14b	NUM
brj-23067	304	2	.	.	PUNCT
brj-23067	305	1	because	because	SCONJ
brj-23067	305	2	of	of	ADP
brj-23067	305	3	the	the	DET
brj-23067	305	4	noisy	noisy	ADJ
brj-23067	305	5	signal	signal	NOUN
brj-23067	305	6	from	from	ADP
brj-23067	305	7	the	the	DET
brj-23067	305	8	pulp	pulp	NOUN
brj-23067	305	9	measurement	measurement	NOUN
brj-23067	305	10	unit	unit	NOUN
brj-23067	305	11	,	,	PUNCT
brj-23067	305	12	the	the	DET
brj-23067	305	13	selection	selection	NOUN
brj-23067	305	14	of	of	ADP
brj-23067	305	15	a	a	DET
brj-23067	305	16	proper	proper	ADJ
brj-23067	305	17	filter	filter	NOUN
brj-23067	305	18	is	be	AUX
brj-23067	305	19	also	also	ADV
brj-23067	305	20	important	important	ADJ
brj-23067	305	21	.	.	PUNCT
brj-23067	306	1	this	this	PRON
brj-23067	306	2	is	be	AUX
brj-23067	306	3	shown	show	VERB
brj-23067	306	4	in	in	ADP
brj-23067	306	5	table	table	NOUN
brj-23067	306	6	4	4	NUM
brj-23067	306	7	,	,	PUNCT
brj-23067	306	8	where	where	SCONJ
brj-23067	306	9	r2	r2	PROPN
brj-23067	306	10	could	could	AUX
brj-23067	306	11	be	be	AUX
brj-23067	306	12	further	far	ADV
brj-23067	306	13	improved	improve	VERB
brj-23067	306	14	by	by	ADP
brj-23067	306	15	increasing	increase	VERB
brj-23067	306	16	the	the	DET
brj-23067	306	17	window	window	NOUN
brj-23067	306	18	size	size	NOUN
brj-23067	306	19	of	of	ADP
brj-23067	306	20	the	the	DET
brj-23067	306	21	moving	move	VERB
brj-23067	306	22	average	average	ADJ
brj-23067	306	23	filters	filter	NOUN
brj-23067	306	24	.	.	PUNCT
brj-23067	307	1	however	however	ADV
brj-23067	307	2	,	,	PUNCT
brj-23067	307	3	it	it	PRON
brj-23067	307	4	is	be	AUX
brj-23067	307	5	always	always	ADV
brj-23067	307	6	difficult	difficult	ADJ
brj-23067	307	7	to	to	PART
brj-23067	307	8	analyze	analyze	VERB
brj-23067	307	9	proper	proper	ADJ
brj-23067	307	10	signal	signal	NOUN
brj-23067	307	11	to	to	PART
brj-23067	307	12	noise	noise	VERB
brj-23067	307	13	ratios	ratio	NOUN
brj-23067	307	14	in	in	ADP
brj-23067	307	15	industrial	industrial	ADJ
brj-23067	307	16	processes	process	NOUN
brj-23067	307	17	.	.	PUNCT
brj-23067	308	1	therefore	therefore	ADV
brj-23067	308	2	,	,	PUNCT
brj-23067	308	3	the	the	DET
brj-23067	308	4	window	window	NOUN
brj-23067	308	5	size	size	NOUN
brj-23067	308	6	sometimes	sometimes	ADV
brj-23067	308	7	needs	need	VERB
brj-23067	308	8	individual	individual	ADJ
brj-23067	308	9	modification	modification	NOUN
brj-23067	308	10	if	if	SCONJ
brj-23067	308	11	other	other	ADJ
brj-23067	308	12	pulp	pulp	NOUN
brj-23067	308	13	properties	property	NOUN
brj-23067	308	14	are	be	AUX
brj-23067	308	15	also	also	ADV
brj-23067	308	16	studied	study	VERB
brj-23067	308	17	.	.	PUNCT
brj-23067	309	1	the	the	DET
brj-23067	309	2	final	final	ADJ
brj-23067	309	3	check	check	NOUN
brj-23067	309	4	was	be	AUX
brj-23067	309	5	to	to	PART
brj-23067	309	6	see	see	VERB
brj-23067	309	7	whether	whether	SCONJ
brj-23067	309	8	the	the	DET
brj-23067	309	9	accuracy	accuracy	NOUN
brj-23067	309	10	could	could	AUX
brj-23067	309	11	be	be	AUX
brj-23067	309	12	improved	improve	VERB
brj-23067	309	13	if	if	SCONJ
brj-23067	309	14	the	the	DET
brj-23067	309	15	number	number	NOUN
brj-23067	309	16	of	of	ADP
brj-23067	309	17	hidden	hidden	ADJ
brj-23067	309	18	layers	layer	NOUN
brj-23067	309	19	was	be	AUX
brj-23067	309	20	increased	increase	VERB
brj-23067	309	21	.	.	PUNCT
brj-23067	310	1	as	as	SCONJ
brj-23067	310	2	shown	show	VERB
brj-23067	310	3	in	in	ADP
brj-23067	310	4	fig	fig	NOUN
brj-23067	310	5	.	.	PUNCT
brj-23067	311	1	15	15	NUM
brj-23067	311	2	,	,	PUNCT
brj-23067	311	3	the	the	DET
brj-23067	311	4	r2	r2	NOUN
brj-23067	311	5	for	for	ADP
brj-23067	311	6	the	the	DET
brj-23067	311	7	training	training	NOUN
brj-23067	311	8	set	set	NOUN
brj-23067	311	9	was	be	AUX
brj-23067	311	10	slightly	slightly	ADV
brj-23067	311	11	increased	increase	VERB
brj-23067	311	12	,	,	PUNCT
brj-23067	311	13	while	while	SCONJ
brj-23067	311	14	the	the	DET
brj-23067	311	15	increase	increase	NOUN
brj-23067	311	16	in	in	ADP
brj-23067	311	17	the	the	DET
brj-23067	311	18	validation	validation	NOUN
brj-23067	311	19	set	set	NOUN
brj-23067	311	20	was	be	AUX
brj-23067	311	21	almost	almost	ADV
brj-23067	311	22	negligible	negligible	ADJ
brj-23067	311	23	.	.	PUNCT
brj-23067	312	1	hence	hence	ADV
brj-23067	312	2	,	,	PUNCT
brj-23067	312	3	an	an	DET
brj-23067	312	4	increased	increase	VERB
brj-23067	312	5	size	size	NOUN
brj-23067	312	6	of	of	ADP
brj-23067	312	7	the	the	DET
brj-23067	312	8	hidden	hide	VERB
brj-23067	312	9	layer	layer	NOUN
brj-23067	312	10	will	will	AUX
brj-23067	312	11	not	not	PART
brj-23067	312	12	necessarily	necessarily	ADV
brj-23067	312	13	improve	improve	VERB
brj-23067	312	14	the	the	DET
brj-23067	312	15	final	final	ADJ
brj-23067	312	16	result	result	NOUN
brj-23067	312	17	,	,	PUNCT
brj-23067	312	18	as	as	SCONJ
brj-23067	312	19	shown	show	VERB
brj-23067	312	20	in	in	ADP
brj-23067	312	21	table	table	NOUN
brj-23067	312	22	5	5	NUM
brj-23067	312	23	.	.	PUNCT
brj-23067	312	24	peer	peer	NOUN
brj-23067	312	25	-	-	PUNCT
brj-23067	312	26	reviewed	review	VERB
brj-23067	312	27	article	article	NOUN
brj-23067	312	28	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	312	29	karlström	karlström	PROPN
brj-23067	312	30	et	et	PROPN
brj-23067	312	31	al	al	PROPN
brj-23067	312	32	.	.	PROPN
brj-23067	313	1	(	(	PUNCT
brj-23067	313	2	2024	2024	NUM
brj-23067	313	3	)	)	PUNCT
brj-23067	313	4	.	.	PUNCT
brj-23067	314	1	“	"	PUNCT
brj-23067	314	2	soft	soft	ADJ
brj-23067	314	3	sensors	sensor	NOUN
brj-23067	314	4	in	in	ADP
brj-23067	314	5	refining	refining	NOUN
brj-23067	314	6	,	,	PUNCT
brj-23067	314	7	”	"	PUNCT
brj-23067	314	8	bioresources	bioresource	NOUN
brj-23067	314	9	19(1	19(1	NUM
brj-23067	314	10	)	)	PUNCT
brj-23067	314	11	,	,	PUNCT
brj-23067	314	12	1030	1030	NUM
brj-23067	314	13	-	-	SYM
brj-23067	314	14	1057	1057	NUM
brj-23067	314	15	.	.	PUNCT
brj-23067	315	1	1047	1047	NUM
brj-23067	315	2	fig	fig	NOUN
brj-23067	315	3	.	.	PUNCT
brj-23067	316	1	14	14	NUM
brj-23067	316	2	.	.	PUNCT
brj-23067	316	3	filtered	filter	VERB
brj-23067	316	4	and	and	CCONJ
brj-23067	316	5	estimated	estimate	VERB
brj-23067	316	6	shives	shive	NOUN
brj-23067	316	7	(	(	PUNCT
brj-23067	316	8	wide	wide	ADV
brj-23067	316	9	)	)	PUNCT
brj-23067	316	10	for	for	ADP
brj-23067	316	11	case	case	NOUN
brj-23067	316	12	1	1	NUM
brj-23067	316	13	in	in	ADP
brj-23067	316	14	table	table	NOUN
brj-23067	316	15	2	2	NUM
brj-23067	316	16	.	.	PUNCT
brj-23067	317	1	a	a	X
brj-23067	317	2	)	)	PUNCT
brj-23067	317	3	responses	response	NOUN
brj-23067	317	4	from	from	ADP
brj-23067	317	5	an	an	DET
brj-23067	317	6	ensemble	ensemble	NOUN
brj-23067	317	7	of	of	ADP
brj-23067	317	8	the	the	DET
brj-23067	317	9	training	training	NOUN
brj-23067	317	10	models	model	NOUN
brj-23067	317	11	fulfilling	fulfil	VERB
brj-23067	317	12	the	the	DET
brj-23067	317	13	criteria	criterion	NOUN
brj-23067	317	14	in	in	ADP
brj-23067	317	15	eq	eq	NOUN
brj-23067	317	16	.	.	PROPN
brj-23067	318	1	7	7	NUM
brj-23067	318	2	.	.	X
brj-23067	318	3	b	b	X
brj-23067	318	4	)	)	PUNCT
brj-23067	318	5	response	response	NOUN
brj-23067	318	6	using	use	VERB
brj-23067	318	7	the	the	DET
brj-23067	318	8	weighted	weighted	ADJ
brj-23067	318	9	training	training	NOUN
brj-23067	318	10	set	set	NOUN
brj-23067	318	11	based	base	VERB
brj-23067	318	12	on	on	ADP
brj-23067	318	13	the	the	DET
brj-23067	318	14	obtained	obtain	VERB
brj-23067	318	15	ensemble	ensemble	ADJ
brj-23067	318	16	(	(	PUNCT
brj-23067	319	1	j	j	NOUN
brj-23067	319	2	=	=	SYM
brj-23067	319	3	1	1	NUM
brj-23067	319	4	in	in	ADP
brj-23067	319	5	eq	eq	ADP
brj-23067	319	6	.	.	PROPN
brj-23067	319	7	8)	8)	NUM
brj-23067	319	8	table	table	NOUN
brj-23067	319	9	4	4	NUM
brj-23067	319	10	.	.	PUNCT
brj-23067	319	11	r2	r2	PROPN
brj-23067	319	12	for	for	ADP
brj-23067	319	13	the	the	DET
brj-23067	319	14	training	training	NOUN
brj-23067	319	15	and	and	CCONJ
brj-23067	319	16	the	the	DET
brj-23067	319	17	validation	validation	NOUN
brj-23067	319	18	sets	set	NOUN
brj-23067	319	19	based	base	VERB
brj-23067	319	20	on	on	ADP
brj-23067	319	21	a	a	DET
brj-23067	319	22	normalized	normalize	VERB
brj-23067	319	23	weight	weight	NOUN
brj-23067	319	24	on	on	ADP
brj-23067	319	25	the	the	DET
brj-23067	319	26	ensemble	ensemble	NOUN
brj-23067	319	27	of	of	ADP
brj-23067	319	28	models	model	NOUN
brj-23067	319	29	from	from	ADP
brj-23067	319	30	case	case	NOUN
brj-23067	319	31	1	1	NUM
brj-23067	319	32	for	for	ADP
brj-23067	319	33	different	different	ADJ
brj-23067	319	34	window	window	NOUN
brj-23067	319	35	sizes	size	NOUN
brj-23067	319	36	the	the	DET
brj-23067	319	37	ensemble	ensemble	NOUN
brj-23067	319	38	of	of	ADP
brj-23067	319	39	case	case	NOUN
brj-23067	319	40	1	1	NUM
brj-23067	319	41	–	–	PUNCT
brj-23067	319	42	filter	filter	NOUN
brj-23067	319	43	2500	2500	NUM
brj-23067	319	44	the	the	DET
brj-23067	319	45	ensemble	ensemble	ADJ
brj-23067	319	46	of	of	ADP
brj-23067	319	47	case	case	NOUN
brj-23067	319	48	1	1	NUM
brj-23067	319	49	–	–	PUNCT
brj-23067	319	50	filter	filter	NOUN
brj-23067	319	51	8000	8000	NUM
brj-23067	319	52	weighted	weight	VERB
brj-23067	319	53	by	by	ADP
brj-23067	319	54	;	;	PUNCT
brj-23067	319	55	r2	r2	PROPN
brj-23067	319	56	train	train	PROPN
brj-23067	319	57	r2	r2	PROPN
brj-23067	319	58	validation	validation	NOUN
brj-23067	319	59	weighted	weight	VERB
brj-23067	319	60	by	by	ADP
brj-23067	319	61	;	;	PUNCT
brj-23067	319	62	r2	r2	PROPN
brj-23067	319	63	train	train	PROPN
brj-23067	319	64	r2	r2	PROPN
brj-23067	319	65	validation	validation	PROPN
brj-23067	319	66	train	train	NOUN
brj-23067	319	67	set	set	VERB
brj-23067	319	68	0.81	0.81	NUM
brj-23067	319	69	0.63	0.63	NUM
brj-23067	319	70	train	train	NOUN
brj-23067	319	71	set	set	VERB
brj-23067	319	72	0.94	0.94	NUM
brj-23067	319	73	0.72	0.72	NUM
brj-23067	319	74	validation	validation	NOUN
brj-23067	319	75	set	set	VERB
brj-23067	319	76	0.77	0.77	NUM
brj-23067	319	77	0.66	0.66	NUM
brj-23067	319	78	validation	validation	NOUN
brj-23067	319	79	set	set	VERB
brj-23067	319	80	0.93	0.93	NUM
brj-23067	319	81	0.76	0.76	NUM
brj-23067	319	82	length	length	NOUN
brj-23067	319	83	*	*	NOUN
brj-23067	319	84	0.80	0.80	NUM
brj-23067	319	85	0.66	0.66	NUM
brj-23067	319	86	length	length	NOUN
brj-23067	319	87	*	*	PROPN
brj-23067	319	88	0.94	0.94	NUM
brj-23067	319	89	0.74	0.74	NUM
brj-23067	319	90	the	the	DET
brj-23067	319	91	ensemble	ensemble	NOUN
brj-23067	319	92	of	of	ADP
brj-23067	319	93	case	case	NOUN
brj-23067	319	94	1	1	NUM
brj-23067	319	95	–	–	PUNCT
brj-23067	319	96	filter	filter	NOUN
brj-23067	319	97	4000	4000	NUM
brj-23067	319	98	the	the	DET
brj-23067	319	99	ensemble	ensemble	ADJ
brj-23067	319	100	of	of	ADP
brj-23067	319	101	case	case	NOUN
brj-23067	319	102	1	1	NUM
brj-23067	319	103	–	–	PUNCT
brj-23067	319	104	filter	filter	NOUN
brj-23067	319	105	10000	10000	NUM
brj-23067	319	106	weighted	weight	VERB
brj-23067	319	107	by	by	ADP
brj-23067	319	108	;	;	PUNCT
brj-23067	319	109	r2	r2	PROPN
brj-23067	319	110	train	train	PROPN
brj-23067	319	111	r2	r2	PROPN
brj-23067	319	112	validation	validation	NOUN
brj-23067	319	113	weighted	weight	VERB
brj-23067	319	114	by	by	ADP
brj-23067	319	115	;	;	PUNCT
brj-23067	319	116	r2	r2	PROPN
brj-23067	319	117	train	train	PROPN
brj-23067	319	118	r2	r2	PROPN
brj-23067	319	119	validation	validation	PROPN
brj-23067	319	120	train	train	NOUN
brj-23067	319	121	set	set	VERB
brj-23067	319	122	0.88	0.88	NUM
brj-23067	319	123	0.71	0.71	NUM
brj-23067	319	124	train	train	NOUN
brj-23067	319	125	set	set	VERB
brj-23067	319	126	0.95	0.95	NUM
brj-23067	319	127	0.74	0.74	NUM
brj-23067	319	128	validation	validation	NOUN
brj-23067	319	129	set	set	VERB
brj-23067	319	130	0.87	0.87	NUM
brj-23067	319	131	0.73	0.73	NUM
brj-23067	319	132	validation	validation	NOUN
brj-23067	319	133	set	set	VERB
brj-23067	319	134	0.93	0.93	NUM
brj-23067	319	135	0.79	0.79	NUM
brj-23067	319	136	length	length	NOUN
brj-23067	319	137	*	*	NOUN
brj-23067	319	138	0.88	0.88	NUM
brj-23067	319	139	0.72	0.72	NUM
brj-23067	319	140	length	length	NOUN
brj-23067	319	141	*	*	PROPN
brj-23067	319	142	0.94	0.94	NUM
brj-23067	319	143	0.78	0.78	NUM
brj-23067	319	144	*	*	PUNCT
brj-23067	319	145	)	)	PUNCT
brj-23067	319	146	length	length	NOUN
brj-23067	319	147	of	of	ADP
brj-23067	319	148	the	the	DET
brj-23067	319	149	hypotenuse	hypotenuse	NOUN
brj-23067	319	150	,	,	PUNCT
brj-23067	319	151	where	where	SCONJ
brj-23067	319	152	training	training	NOUN
brj-23067	319	153	and	and	CCONJ
brj-23067	319	154	validation	validation	NOUN
brj-23067	319	155	ensembles	ensemble	NOUN
brj-23067	319	156	are	be	AUX
brj-23067	319	157	legs	leg	NOUN
brj-23067	319	158	(	(	PUNCT
brj-23067	319	159	r2	r2	PROPN
brj-23067	319	160	train	train	NOUN
brj-23067	319	161	and	and	CCONJ
brj-23067	319	162	r2	r2	PROPN
brj-23067	319	163	val	val	PROPN
brj-23067	319	164	.	.	PUNCT
brj-23067	319	165	)	)	PUNCT
brj-23067	319	166	of	of	ADP
brj-23067	319	167	the	the	DET
brj-23067	319	168	triangle	triangle	NOUN
brj-23067	319	169	peer	peer	NOUN
brj-23067	319	170	-	-	PUNCT
brj-23067	319	171	reviewed	review	VERB
brj-23067	319	172	article	article	NOUN
brj-23067	319	173	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	319	174	karlström	karlström	PROPN
brj-23067	319	175	et	et	PROPN
brj-23067	319	176	al	al	PROPN
brj-23067	319	177	.	.	PROPN
brj-23067	320	1	(	(	PUNCT
brj-23067	320	2	2024	2024	NUM
brj-23067	320	3	)	)	PUNCT
brj-23067	320	4	.	.	PUNCT
brj-23067	321	1	“	"	PUNCT
brj-23067	321	2	soft	soft	ADJ
brj-23067	321	3	sensors	sensor	NOUN
brj-23067	321	4	in	in	ADP
brj-23067	321	5	refining	refining	NOUN
brj-23067	321	6	,	,	PUNCT
brj-23067	321	7	”	"	PUNCT
brj-23067	321	8	bioresources	bioresource	NOUN
brj-23067	321	9	19(1	19(1	NUM
brj-23067	321	10	)	)	PUNCT
brj-23067	321	11	,	,	PUNCT
brj-23067	321	12	1030	1030	NUM
brj-23067	321	13	-	-	SYM
brj-23067	321	14	1057	1057	NUM
brj-23067	321	15	.	.	PUNCT
brj-23067	322	1	1048	1048	NUM
brj-23067	322	2	fig	fig	NOUN
brj-23067	322	3	.	.	PUNCT
brj-23067	323	1	15	15	NUM
brj-23067	323	2	.	.	PUNCT
brj-23067	323	3	estimated	estimate	VERB
brj-23067	323	4	r2	r2	NOUN
brj-23067	323	5	for	for	ADP
brj-23067	323	6	shives	shive	NOUN
brj-23067	323	7	(	(	PUNCT
brj-23067	323	8	wide	wide	ADV
brj-23067	323	9	)	)	PUNCT
brj-23067	323	10	with	with	ADP
brj-23067	323	11	two	two	NUM
brj-23067	323	12	different	different	ADJ
brj-23067	323	13	sets	set	NOUN
brj-23067	323	14	of	of	ADP
brj-23067	323	15	hidden	hidden	ADJ
brj-23067	323	16	layers	layer	NOUN
brj-23067	323	17	using	use	VERB
brj-23067	323	18	case	case	NOUN
brj-23067	323	19	1	1	NUM
brj-23067	323	20	in	in	ADP
brj-23067	323	21	table	table	NOUN
brj-23067	323	22	2	2	NUM
brj-23067	323	23	.	.	PUNCT
brj-23067	323	24	table	table	NOUN
brj-23067	323	25	5	5	NUM
brj-23067	323	26	.	.	PUNCT
brj-23067	323	27	r2	r2	PROPN
brj-23067	323	28	for	for	ADP
brj-23067	323	29	training	training	NOUN
brj-23067	323	30	and	and	CCONJ
brj-23067	323	31	validation	validation	NOUN
brj-23067	323	32	sets	set	NOUN
brj-23067	323	33	based	base	VERB
brj-23067	323	34	on	on	ADP
brj-23067	323	35	a	a	DET
brj-23067	323	36	normalized	normalize	VERB
brj-23067	323	37	weight	weight	NOUN
brj-23067	323	38	on	on	ADP
brj-23067	323	39	the	the	DET
brj-23067	323	40	ensemble	ensemble	NOUN
brj-23067	323	41	of	of	ADP
brj-23067	323	42	models	model	NOUN
brj-23067	323	43	hidden	hide	VERB
brj-23067	323	44	layers	layer	NOUN
brj-23067	323	45	based	base	VERB
brj-23067	323	46	on	on	ADP
brj-23067	323	47	max	max	PROPN
brj-23067	323	48	r2	r2	PROPN
brj-23067	323	49	in	in	ADP
brj-23067	323	50	training	training	NOUN
brj-23067	323	51	set	set	NOUN
brj-23067	323	52	based	base	VERB
brj-23067	323	53	on	on	ADP
brj-23067	323	54	max	max	PROPN
brj-23067	323	55	r2	r2	PROPN
brj-23067	323	56	in	in	ADP
brj-23067	323	57	validation	validation	NOUN
brj-23067	323	58	set	set	NOUN
brj-23067	323	59	based	base	VERB
brj-23067	323	60	on	on	ADP
brj-23067	323	61	max	max	PROPN
brj-23067	323	62	r2	r2	PROPN
brj-23067	323	63	in	in	ADP
brj-23067	323	64	weighted	weight	VERB
brj-23067	323	65	set	set	VERB
brj-23067	323	66	r2	r2	PROPN
brj-23067	323	67	training	training	NOUN
brj-23067	323	68	r2	r2	PROPN
brj-23067	323	69	validation	validation	NOUN
brj-23067	323	70	r2	r2	PROPN
brj-23067	323	71	training	training	NOUN
brj-23067	323	72	r2	r2	PROPN
brj-23067	323	73	validation	validation	NOUN
brj-23067	323	74	r2	r2	PROPN
brj-23067	323	75	training	training	NOUN
brj-23067	323	76	r2	r2	PROPN
brj-23067	323	77	validation	validation	NOUN
brj-23067	324	1	2	2	NUM
brj-23067	324	2	0.78	0.78	NUM
brj-23067	324	3	0.61	0.61	NUM
brj-23067	324	4	0.77	0.77	NUM
brj-23067	324	5	0.60	0.60	NUM
brj-23067	324	6	0.78	0.78	NUM
brj-23067	324	7	0.62	0.62	NUM
brj-23067	324	8	3	3	NUM
brj-23067	324	9	0.85	0.85	NUM
brj-23067	324	10	0.62	0.62	NUM
brj-23067	324	11	0.83	0.83	NUM
brj-23067	324	12	0.67	0.67	NUM
brj-23067	324	13	0.85	0.85	NUM
brj-23067	324	14	0.64	0.64	NUM
brj-23067	324	15	4	4	NUM
brj-23067	324	16	0.87	0.87	NUM
brj-23067	324	17	0.69	0.69	NUM
brj-23067	324	18	0.85	0.85	NUM
brj-23067	324	19	0.71	0.71	NUM
brj-23067	324	20	0.87	0.87	NUM
brj-23067	324	21	0.71	0.71	NUM
brj-23067	324	22	5	5	NUM
brj-23067	324	23	0.88	0.88	NUM
brj-23067	324	24	0.71	0.71	NUM
brj-23067	324	25	0.87	0.87	NUM
brj-23067	324	26	0.73	0.73	NUM
brj-23067	324	27	0.88	0.88	NUM
brj-23067	324	28	0.72	0.72	NUM
brj-23067	324	29	6	6	NUM
brj-23067	324	30	0.90	0.90	NUM
brj-23067	324	31	0.73	0.73	NUM
brj-23067	324	32	0.90	0.90	NUM
brj-23067	324	33	0.74	0.74	NUM
brj-23067	324	34	0.90	0.90	NUM
brj-23067	324	35	0.75	0.75	NUM
brj-23067	324	36	7	7	NUM
brj-23067	324	37	0.90	0.90	NUM
brj-23067	324	38	0.73	0.73	NUM
brj-23067	324	39	0.89	0.89	NUM
brj-23067	324	40	0.76	0.76	NUM
brj-23067	324	41	0.90	0.90	NUM
brj-23067	324	42	0.73	0.73	NUM
brj-23067	324	43	8	8	NUM
brj-23067	324	44	0.90	0.90	NUM
brj-23067	324	45	0.70	0.70	NUM
brj-23067	324	46	0.89	0.89	NUM
brj-23067	324	47	0.72	0.72	NUM
brj-23067	324	48	0.90	0.90	NUM
brj-23067	324	49	0.71	0.71	NUM
brj-23067	324	50	9	9	NUM
brj-23067	324	51	0.90	0.90	NUM
brj-23067	324	52	0.76	0.76	NUM
brj-23067	324	53	0.89	0.89	NUM
brj-23067	324	54	0.78	0.78	NUM
brj-23067	324	55	0.90	0.90	NUM
brj-23067	324	56	0.78	0.78	NUM
brj-23067	324	57	10	10	NUM
brj-23067	324	58	0.90	0.90	NUM
brj-23067	324	59	0.78	0.78	NUM
brj-23067	324	60	0.89	0.89	NUM
brj-23067	324	61	0.75	0.75	NUM
brj-23067	324	62	0.90	0.90	NUM
brj-23067	324	63	0.74	0.74	NUM
brj-23067	324	64	note	note	NOUN
brj-23067	324	65	:	:	PUNCT
brj-23067	324	66	see	see	VERB
brj-23067	324	67	eq	eq	ADP
brj-23067	324	68	.	.	PROPN
brj-23067	324	69	8	8	NUM
brj-23067	324	70	for	for	ADP
brj-23067	324	71	details	detail	NOUN
brj-23067	324	72	;	;	PUNCT
brj-23067	324	73	case	case	NOUN
brj-23067	324	74	1	1	NUM
brj-23067	324	75	is	be	AUX
brj-23067	324	76	utilized	utilize	VERB
brj-23067	324	77	as	as	ADP
brj-23067	324	78	an	an	DET
brj-23067	324	79	example	example	NOUN
brj-23067	324	80	where	where	SCONJ
brj-23067	324	81	different	different	ADJ
brj-23067	324	82	sizes	size	NOUN
brj-23067	324	83	of	of	ADP
brj-23067	324	84	the	the	DET
brj-23067	324	85	hidden	hide	VERB
brj-23067	324	86	layers	layer	NOUN
brj-23067	324	87	have	have	AUX
brj-23067	324	88	been	be	AUX
brj-23067	324	89	applied	apply	VERB
brj-23067	324	90	.	.	PUNCT
brj-23067	325	1	fiber	fiber	NOUN
brj-23067	325	2	length	length	NOUN
brj-23067	325	3	it	it	PRON
brj-23067	325	4	was	be	AUX
brj-23067	325	5	not	not	PART
brj-23067	325	6	possible	possible	ADJ
brj-23067	325	7	to	to	PART
brj-23067	325	8	reach	reach	VERB
brj-23067	325	9	the	the	DET
brj-23067	325	10	threshold	threshold	NOUN
brj-23067	325	11	for	for	ADP
brj-23067	325	12	r𝑣𝑎𝑙	r𝑣𝑎𝑙	NOUN
brj-23067	325	13	2	2	NUM
brj-23067	325	14	in	in	ADP
brj-23067	325	15	eq	eq	ADP
brj-23067	325	16	.	.	PROPN
brj-23067	325	17	7	7	NUM
brj-23067	325	18	,	,	PUNCT
brj-23067	325	19	although	although	SCONJ
brj-23067	325	20	the	the	DET
brj-23067	325	21	window	window	NOUN
brj-23067	325	22	size	size	NOUN
brj-23067	325	23	of	of	ADP
brj-23067	325	24	the	the	DET
brj-23067	325	25	filter	filter	NOUN
brj-23067	325	26	was	be	AUX
brj-23067	325	27	increased	increase	VERB
brj-23067	325	28	.	.	PUNCT
brj-23067	326	1	therefore	therefore	ADV
brj-23067	326	2	,	,	PUNCT
brj-23067	326	3	the	the	DET
brj-23067	326	4	threshold	threshold	NOUN
brj-23067	326	5	for	for	ADP
brj-23067	326	6	the	the	DET
brj-23067	326	7	validation	validation	NOUN
brj-23067	326	8	set	set	NOUN
brj-23067	326	9	was	be	AUX
brj-23067	326	10	reduced	reduce	VERB
brj-23067	326	11	to	to	ADP
brj-23067	326	12	0.2	0.2	NUM
brj-23067	326	13	.	.	PUNCT
brj-23067	327	1	a	a	DET
brj-23067	327	2	few	few	ADJ
brj-23067	327	3	models	model	NOUN
brj-23067	327	4	were	be	AUX
brj-23067	327	5	obtained	obtain	VERB
brj-23067	327	6	that	that	PRON
brj-23067	327	7	can	can	AUX
brj-23067	327	8	be	be	AUX
brj-23067	327	9	analyzed	analyze	VERB
brj-23067	327	10	further	far	ADV
brj-23067	327	11	,	,	PUNCT
brj-23067	327	12	as	as	SCONJ
brj-23067	327	13	shown	show	VERB
brj-23067	327	14	in	in	ADP
brj-23067	327	15	fig	fig	NOUN
brj-23067	327	16	.	.	PUNCT
brj-23067	328	1	16	16	NUM
brj-23067	328	2	.	.	PUNCT
brj-23067	329	1	an	an	DET
brj-23067	329	2	observation	observation	NOUN
brj-23067	329	3	worth	worth	ADJ
brj-23067	329	4	noting	note	VERB
brj-23067	329	5	in	in	ADP
brj-23067	329	6	fig	fig	NOUN
brj-23067	329	7	.	.	PUNCT
brj-23067	330	1	17	17	NUM
brj-23067	330	2	is	be	AUX
brj-23067	330	3	that	that	SCONJ
brj-23067	330	4	the	the	DET
brj-23067	330	5	response	response	NOUN
brj-23067	330	6	was	be	AUX
brj-23067	330	7	quite	quite	ADV
brj-23067	330	8	good	good	ADJ
brj-23067	330	9	,	,	PUNCT
brj-23067	330	10	although	although	SCONJ
brj-23067	330	11	the	the	DET
brj-23067	330	12	threshold	threshold	NOUN
brj-23067	330	13	for	for	ADP
brj-23067	330	14	the	the	DET
brj-23067	330	15	validation	validation	NOUN
brj-23067	330	16	set	set	NOUN
brj-23067	330	17	was	be	AUX
brj-23067	330	18	not	not	PART
brj-23067	330	19	reached	reach	VERB
brj-23067	330	20	.	.	PUNCT
brj-23067	331	1	this	this	DET
brj-23067	331	2	statement	statement	NOUN
brj-23067	331	3	is	be	AUX
brj-23067	331	4	subject	subject	ADJ
brj-23067	331	5	to	to	ADP
brj-23067	331	6	questions	question	NOUN
brj-23067	331	7	,	,	PUNCT
brj-23067	331	8	and	and	CCONJ
brj-23067	331	9	future	future	ADJ
brj-23067	331	10	studies	study	NOUN
brj-23067	331	11	will	will	AUX
brj-23067	331	12	show	show	VERB
brj-23067	331	13	how	how	SCONJ
brj-23067	331	14	to	to	PART
brj-23067	331	15	proceed	proceed	VERB
brj-23067	331	16	.	.	PUNCT
brj-23067	332	1	peer	peer	NOUN
brj-23067	332	2	-	-	PUNCT
brj-23067	332	3	reviewed	review	VERB
brj-23067	332	4	article	article	NOUN
brj-23067	332	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	332	6	karlström	karlström	PROPN
brj-23067	332	7	et	et	PROPN
brj-23067	332	8	al	al	PROPN
brj-23067	332	9	.	.	PROPN
brj-23067	333	1	(	(	PUNCT
brj-23067	333	2	2024	2024	NUM
brj-23067	333	3	)	)	PUNCT
brj-23067	333	4	.	.	PUNCT
brj-23067	334	1	“	"	PUNCT
brj-23067	334	2	soft	soft	ADJ
brj-23067	334	3	sensors	sensor	NOUN
brj-23067	334	4	in	in	ADP
brj-23067	334	5	refining	refining	NOUN
brj-23067	334	6	,	,	PUNCT
brj-23067	334	7	”	"	PUNCT
brj-23067	334	8	bioresources	bioresource	NOUN
brj-23067	334	9	19(1	19(1	NUM
brj-23067	334	10	)	)	PUNCT
brj-23067	334	11	,	,	PUNCT
brj-23067	334	12	1030	1030	NUM
brj-23067	334	13	-	-	SYM
brj-23067	334	14	1057	1057	NUM
brj-23067	334	15	.	.	PUNCT
brj-23067	335	1	1049	1049	NUM
brj-23067	335	2	fig	fig	NOUN
brj-23067	335	3	.	.	PUNCT
brj-23067	336	1	16	16	NUM
brj-23067	336	2	.	.	PUNCT
brj-23067	337	1	estimated	estimate	VERB
brj-23067	337	2	r2	r2	PROPN
brj-23067	337	3	for	for	ADP
brj-23067	337	4	fiber	fiber	NOUN
brj-23067	337	5	length	length	NOUN
brj-23067	337	6	using	use	VERB
brj-23067	337	7	case	case	NOUN
brj-23067	337	8	1	1	NUM
brj-23067	337	9	in	in	ADP
brj-23067	337	10	table	table	NOUN
brj-23067	337	11	2	2	NUM
brj-23067	337	12	fig	fig	NOUN
brj-23067	337	13	.	.	PUNCT
brj-23067	338	1	17	17	NUM
brj-23067	338	2	.	.	PUNCT
brj-23067	338	3	filtered	filter	VERB
brj-23067	338	4	(	(	PUNCT
brj-23067	338	5	4000	4000	NUM
brj-23067	338	6	samples	sample	NOUN
brj-23067	338	7	)	)	PUNCT
brj-23067	338	8	and	and	CCONJ
brj-23067	338	9	estimated	estimate	VERB
brj-23067	338	10	fiber	fiber	NOUN
brj-23067	338	11	length	length	NOUN
brj-23067	338	12	for	for	ADP
brj-23067	338	13	case	case	NOUN
brj-23067	338	14	1	1	NUM
brj-23067	338	15	in	in	ADP
brj-23067	338	16	table	table	NOUN
brj-23067	338	17	2	2	NUM
brj-23067	338	18	.	.	PUNCT
brj-23067	338	19	a	a	X
brj-23067	338	20	)	)	PUNCT
brj-23067	338	21	responses	response	NOUN
brj-23067	338	22	from	from	ADP
brj-23067	338	23	an	an	DET
brj-23067	338	24	ensemble	ensemble	NOUN
brj-23067	338	25	of	of	ADP
brj-23067	338	26	the	the	DET
brj-23067	338	27	training	training	NOUN
brj-23067	338	28	models	model	NOUN
brj-23067	338	29	.	.	PUNCT
brj-23067	339	1	b	b	X
brj-23067	339	2	)	)	PUNCT
brj-23067	339	3	response	response	NOUN
brj-23067	339	4	using	use	VERB
brj-23067	339	5	the	the	DET
brj-23067	339	6	weighted	weighted	ADJ
brj-23067	339	7	training	training	NOUN
brj-23067	339	8	set	set	VERB
brj-23067	339	9	in	in	ADP
brj-23067	339	10	eq	eq	NOUN
brj-23067	339	11	.	.	PROPN
brj-23067	339	12	8	8	NUM
brj-23067	339	13	peer	peer	NOUN
brj-23067	339	14	-	-	PUNCT
brj-23067	339	15	reviewed	review	VERB
brj-23067	339	16	article	article	NOUN
brj-23067	339	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	339	18	karlström	karlström	PROPN
brj-23067	339	19	et	et	PROPN
brj-23067	339	20	al	al	PROPN
brj-23067	339	21	.	.	PROPN
brj-23067	340	1	(	(	PUNCT
brj-23067	340	2	2024	2024	NUM
brj-23067	340	3	)	)	PUNCT
brj-23067	340	4	.	.	PUNCT
brj-23067	341	1	“	"	PUNCT
brj-23067	341	2	soft	soft	ADJ
brj-23067	341	3	sensors	sensor	NOUN
brj-23067	341	4	in	in	ADP
brj-23067	341	5	refining	refining	NOUN
brj-23067	341	6	,	,	PUNCT
brj-23067	341	7	”	"	PUNCT
brj-23067	341	8	bioresources	bioresource	NOUN
brj-23067	341	9	19(1	19(1	NUM
brj-23067	341	10	)	)	PUNCT
brj-23067	341	11	,	,	PUNCT
brj-23067	341	12	1030	1030	NUM
brj-23067	341	13	-	-	SYM
brj-23067	341	14	1057	1057	NUM
brj-23067	341	15	.	.	PUNCT
brj-23067	342	1	1050	1050	NUM
brj-23067	342	2	freeness	freeness	PROPN
brj-23067	342	3	finally	finally	ADV
brj-23067	342	4	,	,	PUNCT
brj-23067	342	5	when	when	SCONJ
brj-23067	342	6	it	it	PRON
brj-23067	342	7	comes	come	VERB
brj-23067	342	8	to	to	ADP
brj-23067	342	9	the	the	DET
brj-23067	342	10	estimation	estimation	NOUN
brj-23067	342	11	of	of	ADP
brj-23067	342	12	freeness	freeness	PROPN
brj-23067	342	13	,	,	PUNCT
brj-23067	342	14	it	it	PRON
brj-23067	342	15	can	can	AUX
brj-23067	342	16	only	only	ADV
brj-23067	342	17	be	be	AUX
brj-23067	342	18	concluded	conclude	VERB
brj-23067	342	19	that	that	SCONJ
brj-23067	342	20	this	this	DET
brj-23067	342	21	measure	measure	NOUN
brj-23067	342	22	is	be	AUX
brj-23067	342	23	not	not	PART
brj-23067	342	24	reliable	reliable	ADJ
brj-23067	342	25	to	to	PART
brj-23067	342	26	use	use	VERB
brj-23067	342	27	as	as	ADP
brj-23067	342	28	the	the	DET
brj-23067	342	29	values	value	NOUN
brj-23067	342	30	of	of	ADP
brj-23067	342	31	r2	r2	PROPN
brj-23067	342	32	(	(	PUNCT
brj-23067	342	33	both	both	CCONJ
brj-23067	342	34	training	training	NOUN
brj-23067	342	35	and	and	CCONJ
brj-23067	342	36	validation	validation	NOUN
brj-23067	342	37	sets	set	NOUN
brj-23067	342	38	)	)	PUNCT
brj-23067	342	39	were	be	AUX
brj-23067	342	40	almost	almost	ADV
brj-23067	342	41	zero	zero	NUM
brj-23067	342	42	.	.	PUNCT
brj-23067	343	1	this	this	PRON
brj-23067	343	2	is	be	AUX
brj-23067	343	3	a	a	DET
brj-23067	343	4	similar	similar	ADJ
brj-23067	343	5	result	result	NOUN
brj-23067	343	6	to	to	ADP
brj-23067	343	7	earlier	early	ADJ
brj-23067	343	8	works	work	NOUN
brj-23067	343	9	based	base	VERB
brj-23067	343	10	on	on	ADP
brj-23067	343	11	an	an	DET
brj-23067	343	12	arx	arx	NOUN
brj-23067	343	13	-	-	PUNCT
brj-23067	343	14	modeling	modeling	NOUN
brj-23067	343	15	procedure	procedure	NOUN
brj-23067	343	16	(	(	PUNCT
brj-23067	343	17	karlström	karlström	NOUN
brj-23067	343	18	et	et	PROPN
brj-23067	343	19	al	al	PROPN
brj-23067	343	20	.	.	PROPN
brj-23067	343	21	2022	2022	NUM
brj-23067	343	22	)	)	PUNCT
brj-23067	343	23	.	.	PUNCT
brj-23067	344	1	conclusions	conclusion	NOUN
brj-23067	344	2	this	this	DET
brj-23067	344	3	study	study	NOUN
brj-23067	344	4	investigated	investigate	VERB
brj-23067	344	5	how	how	SCONJ
brj-23067	344	6	a	a	DET
brj-23067	344	7	parametric	parametric	ADJ
brj-23067	344	8	model	model	NOUN
brj-23067	344	9	structure	structure	NOUN
brj-23067	344	10	based	base	VERB
brj-23067	344	11	on	on	ADP
brj-23067	344	12	an	an	DET
brj-23067	344	13	ann	ann	PROPN
brj-23067	344	14	(	(	PUNCT
brj-23067	344	15	using	use	VERB
brj-23067	344	16	a	a	DET
brj-23067	344	17	levenberg	levenberg	PROPN
brj-23067	344	18	-	-	PUNCT
brj-23067	344	19	marquardt	marquardt	PROPN
brj-23067	344	20	optimization	optimization	NOUN
brj-23067	344	21	algorithm	algorithm	NOUN
brj-23067	344	22	)	)	PUNCT
brj-23067	344	23	can	can	AUX
brj-23067	344	24	be	be	AUX
brj-23067	344	25	applied	apply	VERB
brj-23067	344	26	when	when	SCONJ
brj-23067	344	27	modeling	model	VERB
brj-23067	344	28	the	the	DET
brj-23067	344	29	maximum	maximum	ADJ
brj-23067	344	30	temperatures	temperature	NOUN
brj-23067	344	31	and	and	CCONJ
brj-23067	344	32	consistencies	consistency	NOUN
brj-23067	344	33	inside	inside	ADP
brj-23067	344	34	the	the	DET
brj-23067	344	35	refining	refining	NOUN
brj-23067	344	36	zones	zone	NOUN
brj-23067	344	37	as	as	ADV
brj-23067	344	38	well	well	ADV
brj-23067	344	39	as	as	ADP
brj-23067	344	40	the	the	DET
brj-23067	344	41	pulp	pulp	NOUN
brj-23067	344	42	properties	property	NOUN
brj-23067	344	43	:	:	PUNCT
brj-23067	344	44	shives	shive	NOUN
brj-23067	344	45	(	(	PUNCT
brj-23067	344	46	wide	wide	ADJ
brj-23067	344	47	)	)	PUNCT
brj-23067	344	48	,	,	PUNCT
brj-23067	344	49	fiber	fiber	NOUN
brj-23067	344	50	length	length	NOUN
brj-23067	344	51	,	,	PUNCT
brj-23067	344	52	and	and	CCONJ
brj-23067	344	53	freeness	freeness	PROPN
brj-23067	344	54	.	.	PUNCT
brj-23067	345	1	1	1	X
brj-23067	345	2	.	.	X
brj-23067	345	3	when	when	SCONJ
brj-23067	345	4	estimating	estimate	VERB
brj-23067	345	5	a	a	DET
brj-23067	345	6	pulp	pulp	NOUN
brj-23067	345	7	property	property	NOUN
brj-23067	345	8	,	,	PUNCT
brj-23067	345	9	it	it	PRON
brj-23067	345	10	is	be	AUX
brj-23067	345	11	concluded	conclude	VERB
brj-23067	345	12	that	that	SCONJ
brj-23067	345	13	both	both	CCONJ
brj-23067	345	14	external	external	ADJ
brj-23067	345	15	and	and	CCONJ
brj-23067	345	16	internal	internal	ADJ
brj-23067	345	17	variables	variable	NOUN
brj-23067	345	18	(	(	PUNCT
brj-23067	345	19	derived	derive	VERB
brj-23067	345	20	from	from	ADP
brj-23067	345	21	the	the	DET
brj-23067	345	22	model	model	NOUN
brj-23067	345	23	-	-	PUNCT
brj-23067	345	24	driven	drive	VERB
brj-23067	345	25	soft	soft	ADJ
brj-23067	345	26	sensor	sensor	NOUN
brj-23067	345	27	)	)	PUNCT
brj-23067	345	28	must	must	AUX
brj-23067	345	29	be	be	AUX
brj-23067	345	30	used	use	VERB
brj-23067	345	31	as	as	ADP
brj-23067	345	32	model	model	NOUN
brj-23067	345	33	inputs	input	NOUN
brj-23067	345	34	to	to	PART
brj-23067	345	35	handle	handle	VERB
brj-23067	345	36	the	the	DET
brj-23067	345	37	non	non	NOUN
brj-23067	345	38	-	-	NOUN
brj-23067	345	39	linearities	linearity	NOUN
brj-23067	345	40	in	in	ADP
brj-23067	345	41	the	the	DET
brj-23067	345	42	process	process	NOUN
brj-23067	345	43	.	.	PUNCT
brj-23067	346	1	2	2	X
brj-23067	346	2	.	.	X
brj-23067	346	3	a	a	DET
brj-23067	346	4	deeper	deep	ADJ
brj-23067	346	5	analysis	analysis	NOUN
brj-23067	346	6	of	of	ADP
brj-23067	346	7	the	the	DET
brj-23067	346	8	pulp	pulp	NOUN
brj-23067	346	9	property	property	NOUN
brj-23067	346	10	shives	shive	NOUN
brj-23067	346	11	(	(	PUNCT
brj-23067	346	12	wide	wide	ADV
brj-23067	346	13	)	)	PUNCT
brj-23067	346	14	showed	show	VERB
brj-23067	346	15	that	that	SCONJ
brj-23067	346	16	the	the	DET
brj-23067	346	17	full	full	ADJ
brj-23067	346	18	model	model	NOUN
brj-23067	346	19	represented	represent	VERB
brj-23067	346	20	by	by	ADP
brj-23067	346	21	case	case	NOUN
brj-23067	346	22	1	1	NUM
brj-23067	346	23	in	in	ADP
brj-23067	346	24	table	table	NOUN
brj-23067	346	25	2	2	NUM
brj-23067	346	26	will	will	AUX
brj-23067	346	27	suffice	suffice	VERB
brj-23067	346	28	as	as	ADP
brj-23067	346	29	a	a	DET
brj-23067	346	30	prime	prime	ADJ
brj-23067	346	31	ann	ann	PROPN
brj-23067	346	32	-	-	PUNCT
brj-23067	346	33	model	model	NOUN
brj-23067	346	34	structure	structure	NOUN
brj-23067	346	35	.	.	PUNCT
brj-23067	347	1	with	with	ADP
brj-23067	347	2	an	an	DET
brj-23067	347	3	r2	r2	NOUN
brj-23067	347	4	of	of	ADP
brj-23067	347	5	0.9	0.9	NUM
brj-23067	347	6	(	(	PUNCT
brj-23067	347	7	0.7	0.7	NUM
brj-23067	347	8	)	)	PUNCT
brj-23067	347	9	for	for	ADP
brj-23067	347	10	the	the	DET
brj-23067	347	11	training	training	NOUN
brj-23067	347	12	(	(	PUNCT
brj-23067	347	13	validation	validation	NOUN
brj-23067	347	14	)	)	PUNCT
brj-23067	347	15	sets	set	NOUN
brj-23067	347	16	,	,	PUNCT
brj-23067	347	17	this	this	PRON
brj-23067	347	18	is	be	AUX
brj-23067	347	19	certainly	certainly	ADV
brj-23067	347	20	a	a	DET
brj-23067	347	21	candidate	candidate	NOUN
brj-23067	347	22	when	when	SCONJ
brj-23067	347	23	implementing	implement	VERB
brj-23067	347	24	future	future	ADJ
brj-23067	347	25	advanced	advanced	ADJ
brj-23067	347	26	control	control	NOUN
brj-23067	347	27	concepts	concept	NOUN
brj-23067	347	28	.	.	PUNCT
brj-23067	348	1	3	3	X
brj-23067	348	2	.	.	X
brj-23067	348	3	when	when	SCONJ
brj-23067	348	4	predicting	predict	VERB
brj-23067	348	5	the	the	DET
brj-23067	348	6	pulp	pulp	NOUN
brj-23067	348	7	property	property	NOUN
brj-23067	348	8	fiber	fiber	NOUN
brj-23067	348	9	length	length	NOUN
brj-23067	348	10	,	,	PUNCT
brj-23067	348	11	it	it	PRON
brj-23067	348	12	is	be	AUX
brj-23067	348	13	necessary	necessary	ADJ
brj-23067	348	14	to	to	PART
brj-23067	348	15	modify	modify	VERB
brj-23067	348	16	the	the	DET
brj-23067	348	17	thresholds	threshold	NOUN
brj-23067	348	18	for	for	ADP
brj-23067	348	19	the	the	DET
brj-23067	348	20	validation	validation	NOUN
brj-23067	348	21	set	set	NOUN
brj-23067	348	22	.	.	PUNCT
brj-23067	349	1	as	as	SCONJ
brj-23067	349	2	a	a	DET
brj-23067	349	3	good	good	ADJ
brj-23067	349	4	fit	fit	NOUN
brj-23067	349	5	of	of	ADP
brj-23067	349	6	the	the	DET
brj-23067	349	7	pulp	pulp	NOUN
brj-23067	349	8	property	property	NOUN
brj-23067	349	9	shives	shive	NOUN
brj-23067	349	10	(	(	PUNCT
brj-23067	349	11	wide	wide	ADV
brj-23067	349	12	)	)	PUNCT
brj-23067	349	13	was	be	AUX
brj-23067	349	14	reached	reach	VERB
brj-23067	349	15	,	,	PUNCT
brj-23067	349	16	a	a	DET
brj-23067	349	17	model	model	NOUN
brj-23067	349	18	overfit	overfit	NOUN
brj-23067	349	19	is	be	AUX
brj-23067	349	20	not	not	PART
brj-23067	349	21	expected	expect	VERB
brj-23067	349	22	.	.	PUNCT
brj-23067	350	1	the	the	DET
brj-23067	350	2	backlash	backlash	NOUN
brj-23067	350	3	,	,	PUNCT
brj-23067	350	4	related	relate	VERB
brj-23067	350	5	to	to	ADP
brj-23067	350	6	the	the	DET
brj-23067	350	7	poor	poor	ADJ
brj-23067	350	8	results	result	NOUN
brj-23067	350	9	based	base	VERB
brj-23067	350	10	on	on	ADP
brj-23067	350	11	the	the	DET
brj-23067	350	12	validation	validation	NOUN
brj-23067	350	13	set	set	NOUN
brj-23067	350	14	,	,	PUNCT
brj-23067	350	15	is	be	AUX
brj-23067	350	16	of	of	ADP
brj-23067	350	17	course	course	NOUN
brj-23067	350	18	a	a	DET
brj-23067	350	19	drawback	drawback	NOUN
brj-23067	350	20	.	.	PUNCT
brj-23067	351	1	some	some	DET
brj-23067	351	2	improvements	improvement	NOUN
brj-23067	351	3	can	can	AUX
brj-23067	351	4	be	be	AUX
brj-23067	351	5	achieved	achieve	VERB
brj-23067	351	6	by	by	ADP
brj-23067	351	7	introducing	introduce	VERB
brj-23067	351	8	another	another	DET
brj-23067	351	9	window	window	NOUN
brj-23067	351	10	size	size	NOUN
brj-23067	351	11	of	of	ADP
brj-23067	351	12	the	the	DET
brj-23067	351	13	filter	filter	NOUN
brj-23067	351	14	,	,	PUNCT
brj-23067	351	15	but	but	CCONJ
brj-23067	351	16	a	a	DET
brj-23067	351	17	closer	close	ADJ
brj-23067	351	18	look	look	NOUN
brj-23067	351	19	at	at	ADP
brj-23067	351	20	the	the	DET
brj-23067	351	21	response	response	NOUN
brj-23067	351	22	in	in	ADP
brj-23067	351	23	the	the	DET
brj-23067	351	24	time	time	NOUN
brj-23067	351	25	domain	domain	NOUN
brj-23067	351	26	provides	provide	VERB
brj-23067	351	27	a	a	DET
brj-23067	351	28	reasonably	reasonably	ADV
brj-23067	351	29	good	good	ADJ
brj-23067	351	30	prediction	prediction	NOUN
brj-23067	351	31	that	that	PRON
brj-23067	351	32	might	might	AUX
brj-23067	351	33	raise	raise	VERB
brj-23067	351	34	some	some	DET
brj-23067	351	35	questions	question	NOUN
brj-23067	351	36	about	about	ADP
brj-23067	351	37	the	the	DET
brj-23067	351	38	selected	select	VERB
brj-23067	351	39	threshold	threshold	NOUN
brj-23067	351	40	criteria	criterion	NOUN
brj-23067	351	41	used	use	VERB
brj-23067	351	42	in	in	ADP
brj-23067	351	43	this	this	DET
brj-23067	351	44	paper	paper	NOUN
brj-23067	351	45	.	.	PUNCT
brj-23067	352	1	4	4	X
brj-23067	352	2	.	.	X
brj-23067	352	3	it	it	PRON
brj-23067	352	4	is	be	AUX
brj-23067	352	5	also	also	ADV
brj-23067	352	6	concluded	conclude	VERB
brj-23067	352	7	that	that	SCONJ
brj-23067	352	8	freeness	freeness	PROPN
brj-23067	352	9	is	be	AUX
brj-23067	352	10	not	not	PART
brj-23067	352	11	possible	possible	ADJ
brj-23067	352	12	to	to	PART
brj-23067	352	13	estimate	estimate	VERB
brj-23067	352	14	.	.	PUNCT
brj-23067	353	1	this	this	PRON
brj-23067	353	2	has	have	AUX
brj-23067	353	3	been	be	AUX
brj-23067	353	4	argued	argue	VERB
brj-23067	353	5	in	in	ADP
brj-23067	353	6	many	many	ADJ
brj-23067	353	7	articles	article	NOUN
brj-23067	353	8	during	during	ADP
brj-23067	353	9	the	the	DET
brj-23067	353	10	last	last	ADJ
brj-23067	353	11	decade	decade	NOUN
brj-23067	353	12	,	,	PUNCT
brj-23067	353	13	and	and	CCONJ
brj-23067	353	14	the	the	DET
brj-23067	353	15	findings	finding	NOUN
brj-23067	353	16	in	in	ADP
brj-23067	353	17	this	this	DET
brj-23067	353	18	paper	paper	NOUN
brj-23067	353	19	confirm	confirm	VERB
brj-23067	353	20	many	many	ADJ
brj-23067	353	21	such	such	ADJ
brj-23067	353	22	statements	statement	NOUN
brj-23067	353	23	over	over	ADP
brj-23067	353	24	the	the	DET
brj-23067	353	25	years	year	NOUN
brj-23067	353	26	.	.	PUNCT
brj-23067	354	1	5	5	X
brj-23067	354	2	.	.	X
brj-23067	354	3	when	when	SCONJ
brj-23067	354	4	it	it	PRON
brj-23067	354	5	comes	come	VERB
brj-23067	354	6	to	to	ADP
brj-23067	354	7	the	the	DET
brj-23067	354	8	estimation	estimation	NOUN
brj-23067	354	9	of	of	ADP
brj-23067	354	10	process	process	NOUN
brj-23067	354	11	conditions	condition	NOUN
brj-23067	354	12	such	such	ADJ
brj-23067	354	13	as	as	ADP
brj-23067	354	14	the	the	DET
brj-23067	354	15	maximum	maximum	ADJ
brj-23067	354	16	temperature	temperature	NOUN
brj-23067	354	17	in	in	ADP
brj-23067	354	18	the	the	DET
brj-23067	354	19	flat	flat	ADJ
brj-23067	354	20	zone	zone	NOUN
brj-23067	354	21	(	(	PUNCT
brj-23067	354	22	fz	fz	NOUN
brj-23067	354	23	)	)	PUNCT
brj-23067	354	24	reliable	reliable	ADJ
brj-23067	354	25	models	model	NOUN
brj-23067	354	26	,	,	PUNCT
brj-23067	354	27	based	base	VERB
brj-23067	354	28	on	on	ADP
brj-23067	354	29	the	the	DET
brj-23067	354	30	training	training	NOUN
brj-23067	354	31	set	set	NOUN
brj-23067	354	32	,	,	PUNCT
brj-23067	354	33	can	can	AUX
brj-23067	354	34	be	be	AUX
brj-23067	354	35	obtained	obtain	VERB
brj-23067	354	36	if	if	SCONJ
brj-23067	354	37	the	the	DET
brj-23067	354	38	motor	motor	NOUN
brj-23067	354	39	load	load	NOUN
brj-23067	354	40	and	and	CCONJ
brj-23067	354	41	the	the	DET
brj-23067	354	42	production	production	NOUN
brj-23067	354	43	are	be	AUX
brj-23067	354	44	used	use	VERB
brj-23067	354	45	as	as	ADP
brj-23067	354	46	external	external	ADJ
brj-23067	354	47	inputs	input	NOUN
brj-23067	354	48	to	to	ADP
brj-23067	354	49	the	the	DET
brj-23067	354	50	model	model	NOUN
brj-23067	354	51	instead	instead	ADV
brj-23067	354	52	of	of	ADP
brj-23067	354	53	the	the	DET
brj-23067	354	54	specific	specific	ADJ
brj-23067	354	55	energy	energy	NOUN
brj-23067	354	56	.	.	PUNCT
brj-23067	355	1	the	the	DET
brj-23067	355	2	drawback	drawback	NOUN
brj-23067	355	3	,	,	PUNCT
brj-23067	355	4	however	however	ADV
brj-23067	355	5	,	,	PUNCT
brj-23067	355	6	is	be	AUX
brj-23067	355	7	that	that	SCONJ
brj-23067	355	8	the	the	DET
brj-23067	355	9	r2	r2	PROPN
brj-23067	355	10	for	for	ADP
brj-23067	355	11	the	the	DET
brj-23067	355	12	validation	validation	NOUN
brj-23067	355	13	set	set	NOUN
brj-23067	355	14	was	be	AUX
brj-23067	355	15	unacceptable	unacceptable	ADJ
brj-23067	355	16	small	small	ADJ
brj-23067	355	17	.	.	PUNCT
brj-23067	356	1	this	this	PRON
brj-23067	356	2	also	also	ADV
brj-23067	356	3	highlights	highlight	VERB
brj-23067	356	4	that	that	SCONJ
brj-23067	356	5	the	the	DET
brj-23067	356	6	use	use	NOUN
brj-23067	356	7	of	of	ADP
brj-23067	356	8	specific	specific	ADJ
brj-23067	356	9	energy	energy	NOUN
brj-23067	356	10	or	or	CCONJ
brj-23067	356	11	the	the	DET
brj-23067	356	12	motor	motor	NOUN
brj-23067	356	13	load	load	NOUN
brj-23067	356	14	and	and	CCONJ
brj-23067	356	15	production	production	NOUN
brj-23067	356	16	alone	alone	ADV
brj-23067	356	17	did	do	AUX
brj-23067	356	18	not	not	PART
brj-23067	356	19	give	give	VERB
brj-23067	356	20	enough	enough	ADJ
brj-23067	356	21	information	information	NOUN
brj-23067	356	22	about	about	ADP
brj-23067	356	23	physical	physical	ADJ
brj-23067	356	24	conditions	condition	NOUN
brj-23067	356	25	inside	inside	ADP
brj-23067	356	26	the	the	DET
brj-23067	356	27	refining	refining	NOUN
brj-23067	356	28	zones	zone	NOUN
brj-23067	356	29	.	.	PUNCT
brj-23067	357	1	this	this	PRON
brj-23067	357	2	has	have	AUX
brj-23067	357	3	been	be	AUX
brj-23067	357	4	stated	state	VERB
brj-23067	357	5	in	in	ADP
brj-23067	357	6	previous	previous	ADJ
brj-23067	357	7	work	work	NOUN
brj-23067	357	8	and	and	CCONJ
brj-23067	357	9	can	can	AUX
brj-23067	357	10	be	be	AUX
brj-23067	357	11	a	a	DET
brj-23067	357	12	consequence	consequence	NOUN
brj-23067	357	13	of	of	ADP
brj-23067	357	14	overfitting	overfitting	NOUN
brj-23067	357	15	.	.	PUNCT
brj-23067	358	1	it	it	PRON
brj-23067	358	2	was	be	AUX
brj-23067	358	3	also	also	ADV
brj-23067	358	4	shown	show	VERB
brj-23067	358	5	that	that	SCONJ
brj-23067	358	6	some	some	DET
brj-23067	358	7	model	model	NOUN
brj-23067	358	8	improvements	improvement	NOUN
brj-23067	358	9	can	can	AUX
brj-23067	358	10	be	be	AUX
brj-23067	358	11	achieved	achieve	VERB
brj-23067	358	12	if	if	SCONJ
brj-23067	358	13	a	a	X
brj-23067	358	14	)	)	PUNCT
brj-23067	358	15	the	the	DET
brj-23067	358	16	sawmill	sawmill	NOUN
brj-23067	358	17	chip	chip	NOUN
brj-23067	358	18	content	content	NOUN
brj-23067	358	19	,	,	PUNCT
brj-23067	358	20	b	b	X
brj-23067	358	21	)	)	PUNCT
brj-23067	358	22	the	the	DET
brj-23067	358	23	dilution	dilution	NOUN
brj-23067	358	24	water	water	NOUN
brj-23067	358	25	to	to	PART
brj-23067	358	26	fz	fz	PROPN
brj-23067	358	27	,	,	PUNCT
brj-23067	358	28	and	and	CCONJ
brj-23067	358	29	c	c	X
brj-23067	358	30	)	)	PUNCT
brj-23067	358	31	distance	distance	NOUN
brj-23067	358	32	between	between	ADP
brj-23067	358	33	refining	refining	NOUN
brj-23067	358	34	segments	segment	NOUN
brj-23067	358	35	in	in	ADP
brj-23067	358	36	fz	fz	NUM
brj-23067	358	37	are	be	AUX
brj-23067	358	38	added	add	VERB
brj-23067	358	39	as	as	ADP
brj-23067	358	40	external	external	ADJ
brj-23067	358	41	inputs	input	NOUN
brj-23067	358	42	.	.	PUNCT
brj-23067	359	1	6	6	NUM
brj-23067	359	2	.	.	X
brj-23067	359	3	from	from	ADP
brj-23067	359	4	the	the	DET
brj-23067	359	5	results	result	NOUN
brj-23067	359	6	it	it	PRON
brj-23067	359	7	can	can	AUX
brj-23067	359	8	also	also	ADV
brj-23067	359	9	be	be	AUX
brj-23067	359	10	concluded	conclude	VERB
brj-23067	359	11	that	that	SCONJ
brj-23067	359	12	the	the	DET
brj-23067	359	13	consistencies	consistency	NOUN
brj-23067	359	14	in	in	ADP
brj-23067	359	15	fz	fz	NOUN
brj-23067	359	16	and	and	CCONJ
brj-23067	359	17	the	the	DET
brj-23067	359	18	cd	cd	PROPN
brj-23067	359	19	should	should	AUX
brj-23067	359	20	not	not	PART
brj-23067	359	21	be	be	AUX
brj-23067	359	22	estimated	estimate	VERB
brj-23067	359	23	using	use	VERB
brj-23067	359	24	an	an	DET
brj-23067	359	25	ann	ann	PROPN
brj-23067	359	26	.	.	PUNCT
brj-23067	360	1	instead	instead	ADV
brj-23067	360	2	,	,	PUNCT
brj-23067	360	3	a	a	DET
brj-23067	360	4	model	model	NOUN
brj-23067	360	5	-	-	PUNCT
brj-23067	360	6	driven	drive	VERB
brj-23067	360	7	soft	soft	ADJ
brj-23067	360	8	sensor	sensor	NOUN
brj-23067	360	9	is	be	AUX
brj-23067	360	10	preferable	preferable	ADJ
brj-23067	360	11	to	to	PART
brj-23067	360	12	use	use	VERB
brj-23067	360	13	.	.	PUNCT
brj-23067	361	1	the	the	DET
brj-23067	361	2	same	same	ADJ
brj-23067	361	3	situation	situation	NOUN
brj-23067	361	4	arises	arise	VERB
brj-23067	361	5	when	when	SCONJ
brj-23067	361	6	estimating	estimate	VERB
brj-23067	361	7	the	the	DET
brj-23067	361	8	maximum	maximum	ADJ
brj-23067	361	9	temperature	temperature	NOUN
brj-23067	361	10	in	in	ADP
brj-23067	361	11	cd	cd	PROPN
brj-23067	361	12	.	.	PUNCT
brj-23067	362	1	most	most	ADV
brj-23067	362	2	likely	likely	ADV
brj-23067	362	3	,	,	PUNCT
brj-23067	362	4	this	this	PRON
brj-23067	362	5	is	be	AUX
brj-23067	362	6	a	a	DET
brj-23067	362	7	consequence	consequence	NOUN
brj-23067	362	8	of	of	ADP
brj-23067	362	9	strong	strong	ADJ
brj-23067	362	10	non	non	NOUN
brj-23067	362	11	-	-	NOUN
brj-23067	362	12	linearities	linearity	NOUN
brj-23067	362	13	in	in	ADP
brj-23067	362	14	the	the	DET
brj-23067	362	15	refining	refining	NOUN
brj-23067	362	16	process	process	NOUN
brj-23067	362	17	,	,	PUNCT
brj-23067	362	18	making	make	VERB
brj-23067	362	19	it	it	PRON
brj-23067	362	20	impossible	impossible	ADJ
brj-23067	362	21	to	to	PART
brj-23067	362	22	capture	capture	VERB
brj-23067	362	23	without	without	ADP
brj-23067	362	24	using	use	VERB
brj-23067	362	25	the	the	DET
brj-23067	362	26	internal	internal	ADJ
brj-23067	362	27	variables	variable	NOUN
brj-23067	362	28	.	.	PUNCT
brj-23067	363	1	peer	peer	NOUN
brj-23067	363	2	-	-	PUNCT
brj-23067	363	3	reviewed	review	VERB
brj-23067	363	4	article	article	NOUN
brj-23067	363	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	363	6	karlström	karlström	PROPN
brj-23067	363	7	et	et	PROPN
brj-23067	363	8	al	al	PROPN
brj-23067	363	9	.	.	PROPN
brj-23067	364	1	(	(	PUNCT
brj-23067	364	2	2024	2024	NUM
brj-23067	364	3	)	)	PUNCT
brj-23067	364	4	.	.	PUNCT
brj-23067	365	1	“	"	PUNCT
brj-23067	365	2	soft	soft	ADJ
brj-23067	365	3	sensors	sensor	NOUN
brj-23067	365	4	in	in	ADP
brj-23067	365	5	refining	refining	NOUN
brj-23067	365	6	,	,	PUNCT
brj-23067	365	7	”	"	PUNCT
brj-23067	365	8	bioresources	bioresource	NOUN
brj-23067	365	9	19(1	19(1	NUM
brj-23067	365	10	)	)	PUNCT
brj-23067	365	11	,	,	PUNCT
brj-23067	365	12	1030	1030	NUM
brj-23067	365	13	-	-	SYM
brj-23067	365	14	1057	1057	NUM
brj-23067	365	15	.	.	PUNCT
brj-23067	366	1	1051	1051	NUM
brj-23067	366	2	this	this	PRON
brj-23067	366	3	might	might	AUX
brj-23067	366	4	lead	lead	VERB
brj-23067	366	5	to	to	ADP
brj-23067	366	6	a	a	DET
brj-23067	366	7	paradigm	paradigm	NOUN
brj-23067	366	8	shift	shift	NOUN
brj-23067	366	9	regarding	regard	VERB
brj-23067	366	10	the	the	DET
brj-23067	366	11	need	need	NOUN
brj-23067	366	12	to	to	PART
brj-23067	366	13	measure	measure	VERB
brj-23067	366	14	inside	inside	ADP
brj-23067	366	15	the	the	DET
brj-23067	366	16	refining	refining	NOUN
brj-23067	366	17	zones	zone	NOUN
brj-23067	366	18	to	to	PART
brj-23067	366	19	get	get	VERB
brj-23067	366	20	more	more	ADJ
brj-23067	366	21	information	information	NOUN
brj-23067	366	22	about	about	ADP
brj-23067	366	23	different	different	ADJ
brj-23067	366	24	internal	internal	ADJ
brj-23067	366	25	variables	variable	NOUN
brj-23067	366	26	to	to	PART
brj-23067	366	27	control	control	VERB
brj-23067	366	28	.	.	PUNCT
brj-23067	367	1	7	7	X
brj-23067	367	2	.	.	X
brj-23067	367	3	finally	finally	ADV
brj-23067	367	4	,	,	PUNCT
brj-23067	367	5	to	to	PART
brj-23067	367	6	understand	understand	VERB
brj-23067	367	7	the	the	DET
brj-23067	367	8	control	control	NOUN
brj-23067	367	9	concept	concept	NOUN
brj-23067	367	10	,	,	PUNCT
brj-23067	367	11	it	it	PRON
brj-23067	367	12	is	be	AUX
brj-23067	367	13	important	important	ADJ
brj-23067	367	14	to	to	PART
brj-23067	367	15	control	control	VERB
brj-23067	367	16	the	the	DET
brj-23067	367	17	cd	cd	NOUN
brj-23067	367	18	-	-	PUNCT
brj-23067	367	19	refiner	refiner	NOUN
brj-23067	367	20	using	use	VERB
brj-23067	367	21	the	the	DET
brj-23067	367	22	temperature	temperature	NOUN
brj-23067	367	23	profile	profile	NOUN
brj-23067	367	24	and	and	CCONJ
brj-23067	367	25	certainly	certainly	ADV
brj-23067	367	26	the	the	DET
brj-23067	367	27	maximum	maximum	ADJ
brj-23067	367	28	temperature	temperature	NOUN
brj-23067	367	29	,	,	PUNCT
brj-23067	367	30	which	which	PRON
brj-23067	367	31	can	can	AUX
brj-23067	367	32	be	be	AUX
brj-23067	367	33	controlled	control	VERB
brj-23067	367	34	by	by	ADP
brj-23067	367	35	manipulating	manipulate	VERB
brj-23067	367	36	the	the	DET
brj-23067	367	37	production	production	NOUN
brj-23067	367	38	.	.	PUNCT
brj-23067	368	1	at	at	ADP
brj-23067	368	2	the	the	DET
brj-23067	368	3	same	same	ADJ
brj-23067	368	4	time	time	NOUN
brj-23067	368	5	,	,	PUNCT
brj-23067	368	6	the	the	DET
brj-23067	368	7	consistencies	consistency	NOUN
brj-23067	368	8	out	out	ADP
brj-23067	368	9	from	from	ADP
brj-23067	368	10	each	each	DET
brj-23067	368	11	refining	refining	NOUN
brj-23067	368	12	zone	zone	NOUN
brj-23067	368	13	must	must	AUX
brj-23067	368	14	be	be	AUX
brj-23067	368	15	controlled	control	VERB
brj-23067	368	16	by	by	ADP
brj-23067	368	17	manipulating	manipulate	VERB
brj-23067	368	18	the	the	DET
brj-23067	368	19	dilution	dilution	NOUN
brj-23067	368	20	water	water	NOUN
brj-23067	368	21	added	add	VERB
brj-23067	368	22	to	to	ADP
brj-23067	368	23	each	each	DET
brj-23067	368	24	zone	zone	NOUN
brj-23067	368	25	.	.	PUNCT
brj-23067	369	1	when	when	SCONJ
brj-23067	369	2	it	it	PRON
brj-23067	369	3	comes	come	VERB
brj-23067	369	4	to	to	ADP
brj-23067	369	5	the	the	DET
brj-23067	369	6	use	use	NOUN
brj-23067	369	7	of	of	ADP
brj-23067	369	8	the	the	DET
brj-23067	369	9	estimated	estimate	VERB
brj-23067	369	10	pulp	pulp	NOUN
brj-23067	369	11	properties	property	NOUN
brj-23067	369	12	,	,	PUNCT
brj-23067	369	13	it	it	PRON
brj-23067	369	14	is	be	AUX
brj-23067	369	15	clear	clear	ADJ
brj-23067	369	16	from	from	ADP
brj-23067	369	17	the	the	DET
brj-23067	369	18	results	result	NOUN
brj-23067	369	19	in	in	ADP
brj-23067	369	20	this	this	DET
brj-23067	369	21	article	article	NOUN
brj-23067	369	22	that	that	SCONJ
brj-23067	369	23	shives	shive	VERB
brj-23067	369	24	(	(	PUNCT
brj-23067	369	25	wide	wide	ADV
brj-23067	369	26	)	)	PUNCT
brj-23067	369	27	can	can	AUX
brj-23067	369	28	be	be	AUX
brj-23067	369	29	controlled	control	VERB
brj-23067	369	30	by	by	ADP
brj-23067	369	31	manipulation	manipulation	NOUN
brj-23067	369	32	the	the	DET
brj-23067	369	33	consistencies	consistency	NOUN
brj-23067	369	34	.	.	PUNCT
brj-23067	370	1	presently	presently	ADV
brj-23067	370	2	this	this	PRON
brj-23067	370	3	is	be	AUX
brj-23067	370	4	done	do	VERB
brj-23067	370	5	in	in	ADP
brj-23067	370	6	a	a	DET
brj-23067	370	7	full	full	ADJ
brj-23067	370	8	-	-	PUNCT
brj-23067	370	9	scale	scale	NOUN
brj-23067	370	10	production	production	NOUN
brj-23067	370	11	line	line	NOUN
brj-23067	370	12	in	in	ADP
brj-23067	370	13	sweden	sweden	PROPN
brj-23067	370	14	.	.	PUNCT
brj-23067	371	1	acknowledgements	acknowledgement	VERB
brj-23067	371	2	the	the	DET
brj-23067	371	3	authors	author	NOUN
brj-23067	371	4	gratefully	gratefully	ADV
brj-23067	371	5	acknowledge	acknowledge	VERB
brj-23067	371	6	the	the	DET
brj-23067	371	7	funding	funding	NOUN
brj-23067	371	8	of	of	ADP
brj-23067	371	9	the	the	DET
brj-23067	371	10	swedish	swedish	PROPN
brj-23067	371	11	energy	energy	NOUN
brj-23067	371	12	agency	agency	NOUN
brj-23067	371	13	and	and	CCONJ
brj-23067	371	14	storaenso	storaenso	PROPN
brj-23067	371	15	.	.	PUNCT
brj-23067	372	1	special	special	ADJ
brj-23067	372	2	thanks	thank	NOUN
brj-23067	372	3	go	go	VERB
brj-23067	372	4	to	to	ADP
brj-23067	372	5	the	the	DET
brj-23067	372	6	storaenso	storaenso	PROPN
brj-23067	372	7	skoghall	skoghall	PROPN
brj-23067	372	8	mill	mill	NOUN
brj-23067	372	9	for	for	ADP
brj-23067	372	10	running	run	VERB
brj-23067	372	11	trials	trial	NOUN
brj-23067	372	12	and	and	CCONJ
brj-23067	372	13	providing	provide	VERB
brj-23067	372	14	the	the	DET
brj-23067	372	15	excellent	excellent	ADJ
brj-23067	372	16	laboratory	laboratory	NOUN
brj-23067	372	17	and	and	CCONJ
brj-23067	372	18	process	process	NOUN
brj-23067	372	19	data	datum	NOUN
brj-23067	372	20	used	use	VERB
brj-23067	372	21	in	in	ADP
brj-23067	372	22	this	this	DET
brj-23067	372	23	study	study	NOUN
brj-23067	372	24	.	.	PUNCT
brj-23067	373	1	references	reference	NOUN
brj-23067	373	2	cited	cite	VERB
brj-23067	373	3	bastin	bastin	PROPN
brj-23067	373	4	,	,	PUNCT
brj-23067	373	5	g.	g.	PROPN
brj-23067	373	6	,	,	PUNCT
brj-23067	373	7	and	and	CCONJ
brj-23067	373	8	dochain	dochain	NOUN
brj-23067	373	9	,	,	PUNCT
brj-23067	373	10	d.	d.	PROPN
brj-23067	373	11	(	(	PUNCT
brj-23067	373	12	1990	1990	NUM
brj-23067	373	13	)	)	PUNCT
brj-23067	373	14	.	.	PUNCT
brj-23067	374	1	on	on	ADP
brj-23067	374	2	-	-	PUNCT
brj-23067	374	3	line	line	NOUN
brj-23067	374	4	estimation	estimation	NOUN
brj-23067	374	5	and	and	CCONJ
brj-23067	374	6	adaptive	adaptive	ADJ
brj-23067	374	7	control	control	NOUN
brj-23067	374	8	of	of	ADP
brj-23067	374	9	bioreactors	bioreactor	NOUN
brj-23067	374	10	,	,	PUNCT
brj-23067	374	11	elsevier	elsevier	NOUN
brj-23067	374	12	,	,	PUNCT
brj-23067	374	13	amsterdam	amsterdam	PROPN
brj-23067	374	14	,	,	PUNCT
brj-23067	374	15	netherlands	netherlands	PROPN
brj-23067	374	16	.	.	PUNCT
brj-23067	375	1	belsley	belsley	PROPN
brj-23067	375	2	,	,	PUNCT
brj-23067	375	3	d.	d.	PROPN
brj-23067	375	4	a.	a.	PROPN
brj-23067	375	5	,	,	PUNCT
brj-23067	375	6	kuh	kuh	PROPN
brj-23067	375	7	,	,	PUNCT
brj-23067	375	8	e.	e.	PROPN
brj-23067	375	9	,	,	PUNCT
brj-23067	375	10	and	and	CCONJ
brj-23067	375	11	welsch	welsch	PROPN
brj-23067	375	12	,	,	PUNCT
brj-23067	375	13	r.	r.	PROPN
brj-23067	375	14	e.	e.	PROPN
brj-23067	375	15	(	(	PUNCT
brj-23067	375	16	1980	1980	NUM
brj-23067	375	17	)	)	PUNCT
brj-23067	375	18	.	.	PUNCT
brj-23067	376	1	regression	regression	NOUN
brj-23067	376	2	diagnostics	diagnostic	NOUN
brj-23067	376	3	.	.	PUNCT
brj-23067	377	1	identifying	identify	VERB
brj-23067	377	2	influential	influential	ADJ
brj-23067	377	3	data	datum	NOUN
brj-23067	377	4	and	and	CCONJ
brj-23067	377	5	sources	source	NOUN
brj-23067	377	6	of	of	ADP
brj-23067	377	7	collinearity	collinearity	NOUN
brj-23067	377	8	,	,	PUNCT
brj-23067	377	9	john	john	PROPN
brj-23067	377	10	wiley	wiley	PROPN
brj-23067	377	11	&	&	CCONJ
brj-23067	377	12	sons	sons	PROPN
brj-23067	377	13	,	,	PUNCT
brj-23067	377	14	hoboken	hoboken	PROPN
brj-23067	377	15	,	,	PUNCT
brj-23067	377	16	nj	nj	PROPN
brj-23067	377	17	,	,	PUNCT
brj-23067	377	18	usa	usa	PROPN
brj-23067	377	19	.	.	PROPN
brj-23067	377	20	bengtsson	bengtsson	PROPN
brj-23067	377	21	,	,	PUNCT
brj-23067	377	22	f.	f.	PROPN
brj-23067	377	23	,	,	PUNCT
brj-23067	377	24	karlström	karlström	PROPN
brj-23067	377	25	,	,	PUNCT
brj-23067	377	26	a.	a.	NOUN
brj-23067	377	27	,	,	PUNCT
brj-23067	377	28	and	and	CCONJ
brj-23067	377	29	hill	hill	PROPN
brj-23067	377	30	,	,	PUNCT
brj-23067	377	31	j.	j.	PROPN
brj-23067	377	32	(	(	PUNCT
brj-23067	377	33	2019	2019	NUM
brj-23067	377	34	)	)	PUNCT
brj-23067	377	35	.	.	PUNCT
brj-23067	378	1	“	"	PUNCT
brj-23067	378	2	deep	deep	ADJ
brj-23067	378	3	learning	learning	NOUN
brj-23067	378	4	in	in	ADP
brj-23067	378	5	refining	refining	NOUN
brj-23067	378	6	processes	process	NOUN
brj-23067	378	7	–	–	PUNCT
brj-23067	378	8	a	a	DET
brj-23067	378	9	pre	pre	NOUN
brj-23067	378	10	-	-	NOUN
brj-23067	378	11	study	study	NOUN
brj-23067	378	12	of	of	ADP
brj-23067	378	13	internal	internal	ADJ
brj-23067	378	14	and	and	CCONJ
brj-23067	378	15	external	external	ADJ
brj-23067	378	16	variables	variable	NOUN
brj-23067	378	17	impact	impact	NOUN
brj-23067	378	18	on	on	ADP
brj-23067	378	19	pulp	pulp	NOUN
brj-23067	378	20	properties	property	NOUN
brj-23067	378	21	,	,	PUNCT
brj-23067	378	22	”	"	PUNCT
brj-23067	378	23	in	in	ADP
brj-23067	378	24	:	:	PUNCT
brj-23067	378	25	11th	11th	ADJ
brj-23067	378	26	fundamental	fundamental	ADJ
brj-23067	378	27	mechanical	mechanical	ADJ
brj-23067	378	28	pulp	pulp	NOUN
brj-23067	378	29	research	research	NOUN
brj-23067	378	30	seminar	seminar	NOUN
brj-23067	378	31	,	,	PUNCT
brj-23067	378	32	norrköping	norrköping	NOUN
brj-23067	378	33	,	,	PUNCT
brj-23067	378	34	sweden	sweden	PROPN
brj-23067	378	35	.	.	PROPN
brj-23067	379	1	bengtsson	bengtsson	PROPN
brj-23067	379	2	,	,	PUNCT
brj-23067	379	3	f.	f.	PROPN
brj-23067	379	4	,	,	PUNCT
brj-23067	379	5	karlström	karlström	PROPN
brj-23067	379	6	,	,	PUNCT
brj-23067	379	7	a.	a.	NOUN
brj-23067	379	8	,	,	PUNCT
brj-23067	379	9	and	and	CCONJ
brj-23067	379	10	wik	wik	PROPN
brj-23067	379	11	,	,	PUNCT
brj-23067	379	12	t.	t.	PROPN
brj-23067	379	13	(	(	PUNCT
brj-23067	379	14	2020	2020	NUM
brj-23067	379	15	)	)	PUNCT
brj-23067	379	16	.	.	PUNCT
brj-23067	380	1	“	"	PUNCT
brj-23067	380	2	modeling	modeling	NOUN
brj-23067	380	3	of	of	ADP
brj-23067	380	4	tensile	tensile	NOUN
brj-23067	380	5	index	index	NOUN
brj-23067	380	6	using	use	VERB
brj-23067	380	7	uncertain	uncertain	ADJ
brj-23067	380	8	data	data	NOUN
brj-23067	380	9	sets	set	NOUN
brj-23067	380	10	,	,	PUNCT
brj-23067	380	11	”	"	PUNCT
brj-23067	380	12	nord	nord	PROPN
brj-23067	380	13	.	.	PUNCT
brj-23067	380	14	pulp	pulp	NOUN
brj-23067	380	15	paper	paper	NOUN
brj-23067	380	16	res	re	NOUN
brj-23067	380	17	.	.	PUNCT
brj-23067	381	1	j.	j.	PROPN
brj-23067	381	2	35(2	35(2	PROPN
brj-23067	381	3	)	)	PUNCT
brj-23067	381	4	,	,	PUNCT
brj-23067	381	5	231	231	NUM
brj-23067	381	6	-	-	SYM
brj-23067	381	7	242	242	NUM
brj-23067	381	8	.	.	PUNCT
brj-23067	382	1	doi	doi	NOUN
brj-23067	382	2	:	:	PUNCT
brj-23067	382	3	10.1515	10.1515	NUM
brj-23067	382	4	/	/	SYM
brj-23067	382	5	npprj2019	npprj2019	PROPN
brj-23067	382	6	-	-	PUNCT
brj-23067	382	7	0089	0089	NUM
brj-23067	382	8	bengtsson	bengtsson	NOUN
brj-23067	382	9	,	,	PUNCT
brj-23067	382	10	f.	f.	PROPN
brj-23067	382	11	,	,	PUNCT
brj-23067	382	12	karlström	karlström	PROPN
brj-23067	382	13	,	,	PUNCT
brj-23067	382	14	a.	a.	NOUN
brj-23067	382	15	,	,	PUNCT
brj-23067	382	16	and	and	CCONJ
brj-23067	382	17	wik	wik	PROPN
brj-23067	382	18	,	,	PUNCT
brj-23067	382	19	t.	t.	PROPN
brj-23067	382	20	(	(	PUNCT
brj-23067	382	21	2021	2021	NUM
brj-23067	382	22	)	)	PUNCT
brj-23067	382	23	.	.	PUNCT
brj-23067	383	1	“	"	PUNCT
brj-23067	383	2	on	on	ADP
brj-23067	383	3	the	the	DET
brj-23067	383	4	modeling	modeling	NOUN
brj-23067	383	5	of	of	ADP
brj-23067	383	6	pulp	pulp	NOUN
brj-23067	383	7	properties	property	NOUN
brj-23067	383	8	in	in	ADP
brj-23067	383	9	ctmp	ctmp	NOUN
brj-23067	383	10	processes	process	NOUN
brj-23067	383	11	,	,	PUNCT
brj-23067	383	12	”	"	PUNCT
brj-23067	383	13	nord	nord	PROPN
brj-23067	383	14	.	.	PUNCT
brj-23067	383	15	pulp	pulp	NOUN
brj-23067	383	16	paper	paper	NOUN
brj-23067	383	17	res	re	NOUN
brj-23067	383	18	.	.	PUNCT
brj-23067	384	1	j.	j.	PROPN
brj-23067	384	2	36(2	36(2	PROPN
brj-23067	384	3	)	)	PUNCT
brj-23067	384	4	,	,	PUNCT
brj-23067	384	5	234	234	NUM
brj-23067	384	6	-	-	SYM
brj-23067	384	7	248	248	NUM
brj-23067	384	8	.	.	PUNCT
brj-23067	385	1	doi	doi	NOUN
brj-23067	385	2	:	:	PUNCT
brj-23067	385	3	10.1515	10.1515	NUM
brj-23067	385	4	/	/	SYM
brj-23067	385	5	npprj2020	npprj2020	PROPN
brj-23067	385	6	-	-	PUNCT
brj-23067	385	7	0084	0084	NUM
brj-23067	385	8	berg	berg	PROPN
brj-23067	385	9	,	,	PUNCT
brj-23067	385	10	d.	d.	PROPN
brj-23067	385	11	,	,	PUNCT
brj-23067	385	12	and	and	CCONJ
brj-23067	385	13	karlström	karlström	NOUN
brj-23067	385	14	,	,	PUNCT
brj-23067	385	15	a.	a.	NOUN
brj-23067	385	16	(	(	PUNCT
brj-23067	385	17	2005	2005	NUM
brj-23067	385	18	)	)	PUNCT
brj-23067	385	19	.	.	PUNCT
brj-23067	386	1	“	"	PUNCT
brj-23067	386	2	dynamic	dynamic	ADJ
brj-23067	386	3	pressure	pressure	NOUN
brj-23067	386	4	measurements	measurement	NOUN
brj-23067	386	5	in	in	ADP
brj-23067	386	6	full	full	ADJ
brj-23067	386	7	-	-	PUNCT
brj-23067	386	8	scale	scale	NOUN
brj-23067	386	9	thermomechanical	thermomechanical	ADJ
brj-23067	386	10	pulp	pulp	NOUN
brj-23067	386	11	refiners	refiner	NOUN
brj-23067	386	12	,	,	PUNCT
brj-23067	386	13	”	"	PUNCT
brj-23067	386	14	in	in	ADP
brj-23067	386	15	:	:	PUNCT
brj-23067	386	16	international	international	ADJ
brj-23067	386	17	mechanical	mechanical	ADJ
brj-23067	386	18	pulping	pulp	VERB
brj-23067	386	19	conference	conference	NOUN
brj-23067	386	20	,	,	PUNCT
brj-23067	386	21	oslo	oslo	PROPN
brj-23067	386	22	,	,	PUNCT
brj-23067	386	23	norway	norway	PROPN
brj-23067	386	24	,	,	PUNCT
brj-23067	386	25	pp	pp	ADJ
brj-23067	386	26	.	.	PUNCT
brj-23067	387	1	42	42	NUM
brj-23067	387	2	-	-	SYM
brj-23067	387	3	49	49	NUM
brj-23067	387	4	.	.	PUNCT
brj-23067	388	1	björck	björck	PROPN
brj-23067	388	2	,	,	PUNCT
brj-23067	388	3	a.	a.	NOUN
brj-23067	388	4	(	(	PUNCT
brj-23067	388	5	1996	1996	NUM
brj-23067	388	6	)	)	PUNCT
brj-23067	388	7	.	.	PUNCT
brj-23067	389	1	numerical	numerical	ADJ
brj-23067	389	2	methods	method	NOUN
brj-23067	389	3	for	for	ADP
brj-23067	389	4	least	least	ADJ
brj-23067	389	5	squares	square	NOUN
brj-23067	389	6	problems	problem	NOUN
brj-23067	389	7	,	,	PUNCT
brj-23067	389	8	siam	siam	PROPN
brj-23067	389	9	,	,	PUNCT
brj-23067	389	10	philadelphia	philadelphia	PROPN
brj-23067	389	11	,	,	PUNCT
brj-23067	389	12	pa	pa	PROPN
brj-23067	389	13	,	,	PUNCT
brj-23067	389	14	usa	usa	PROPN
brj-23067	389	15	.	.	PROPN
brj-23067	389	16	bohlin	bohlin	PROPN
brj-23067	389	17	,	,	PUNCT
brj-23067	389	18	t.	t.	PROPN
brj-23067	389	19	(	(	PUNCT
brj-23067	389	20	2006	2006	NUM
brj-23067	389	21	)	)	PUNCT
brj-23067	389	22	.	.	PUNCT
brj-23067	390	1	practical	practical	ADJ
brj-23067	390	2	grey	grey	ADJ
brj-23067	390	3	-	-	PUNCT
brj-23067	390	4	box	box	NOUN
brj-23067	390	5	process	process	NOUN
brj-23067	390	6	identification	identification	NOUN
brj-23067	390	7	theory	theory	NOUN
brj-23067	390	8	and	and	CCONJ
brj-23067	390	9	applications	application	NOUN
brj-23067	390	10	,	,	PUNCT
brj-23067	390	11	advances	advance	NOUN
brj-23067	390	12	in	in	ADP
brj-23067	390	13	industrial	industrial	ADJ
brj-23067	390	14	control	control	NOUN
brj-23067	390	15	,	,	PUNCT
brj-23067	390	16	springer	springer	NOUN
brj-23067	390	17	-	-	PUNCT
brj-23067	390	18	verlag	verlag	PROPN
brj-23067	390	19	,	,	PUNCT
brj-23067	390	20	london	london	PROPN
brj-23067	390	21	,	,	PUNCT
brj-23067	390	22	united	united	ADJ
brj-23067	390	23	kingdom	kingdom	PROPN
brj-23067	390	24	.	.	PUNCT
brj-23067	391	1	bonnans	bonnan	NOUN
brj-23067	391	2	,	,	PUNCT
brj-23067	391	3	j.	j.	PROPN
brj-23067	391	4	f.	f.	PROPN
brj-23067	391	5	,	,	PUNCT
brj-23067	391	6	gilbert	gilbert	PROPN
brj-23067	391	7	,	,	PUNCT
brj-23067	391	8	j.	j.	PROPN
brj-23067	391	9	c.	c.	PROPN
brj-23067	391	10	,	,	PUNCT
brj-23067	391	11	lemarechal	lemarechal	ADJ
brj-23067	391	12	,	,	PUNCT
brj-23067	391	13	c.	c.	NOUN
brj-23067	391	14	,	,	PUNCT
brj-23067	391	15	and	and	CCONJ
brj-23067	391	16	sagastizabal	sagastizabal	PROPN
brj-23067	391	17	,	,	PUNCT
brj-23067	391	18	c.	c.	PROPN
brj-23067	391	19	a.	a.	PROPN
brj-23067	391	20	(	(	PUNCT
brj-23067	391	21	2006	2006	NUM
brj-23067	391	22	)	)	PUNCT
brj-23067	391	23	.	.	PUNCT
brj-23067	392	1	numerical	numerical	PROPN
brj-23067	392	2	optimization	optimization	PROPN
brj-23067	392	3	:	:	PUNCT
brj-23067	392	4	theoretical	theoretical	ADJ
brj-23067	392	5	and	and	CCONJ
brj-23067	392	6	practical	practical	ADJ
brj-23067	392	7	aspects	aspect	NOUN
brj-23067	392	8	,	,	PUNCT
brj-23067	392	9	2nd	2nd	ADJ
brj-23067	392	10	ed	ed	NOUN
brj-23067	392	11	,	,	PUNCT
brj-23067	392	12	springer	springer	NOUN
brj-23067	392	13	-	-	PUNCT
brj-23067	392	14	verlag	verlag	PROPN
brj-23067	392	15	,	,	PUNCT
brj-23067	392	16	berlin	berlin	PROPN
brj-23067	392	17	heidelberg	heidelberg	PROPN
brj-23067	392	18	,	,	PUNCT
brj-23067	392	19	germany	germany	PROPN
brj-23067	392	20	.	.	PUNCT
brj-23067	393	1	chruy	chruy	PROPN
brj-23067	393	2	,	,	PUNCT
brj-23067	393	3	a.	a.	NOUN
brj-23067	393	4	(	(	PUNCT
brj-23067	393	5	1997	1997	NUM
brj-23067	393	6	)	)	PUNCT
brj-23067	393	7	.	.	PUNCT
brj-23067	394	1	“	"	PUNCT
brj-23067	394	2	software	software	NOUN
brj-23067	394	3	sensors	sensor	NOUN
brj-23067	394	4	in	in	ADP
brj-23067	394	5	bioprocess	bioprocess	NOUN
brj-23067	394	6	engineering	engineering	NOUN
brj-23067	394	7	,	,	PUNCT
brj-23067	394	8	”	"	PUNCT
brj-23067	394	9	j.	j.	PROPN
brj-23067	394	10	biotechnol	biotechnol	PROPN
brj-23067	394	11	.	.	PUNCT
brj-23067	395	1	52(3	52(3	NUM
brj-23067	395	2	)	)	PUNCT
brj-23067	395	3	,	,	PUNCT
brj-23067	395	4	193	193	NUM
brj-23067	395	5	-	-	SYM
brj-23067	395	6	199	199	NUM
brj-23067	395	7	.	.	PUNCT
brj-23067	396	1	doi	doi	NOUN
brj-23067	396	2	:	:	PUNCT
brj-23067	396	3	10.1016	10.1016	NUM
brj-23067	396	4	/	/	SYM
brj-23067	396	5	s0168	s0168	NOUN
brj-23067	396	6	-	-	PUNCT
brj-23067	396	7	1656(96)01644	1656(96)01644	NUM
brj-23067	396	8	-	-	SYM
brj-23067	396	9	6	6	NUM
brj-23067	396	10	peer	peer	NOUN
brj-23067	396	11	-	-	PUNCT
brj-23067	396	12	reviewed	review	VERB
brj-23067	396	13	article	article	NOUN
brj-23067	396	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	396	15	karlström	karlström	PROPN
brj-23067	396	16	et	et	PROPN
brj-23067	396	17	al	al	PROPN
brj-23067	396	18	.	.	PROPN
brj-23067	397	1	(	(	PUNCT
brj-23067	397	2	2024	2024	NUM
brj-23067	397	3	)	)	PUNCT
brj-23067	397	4	.	.	PUNCT
brj-23067	398	1	“	"	PUNCT
brj-23067	398	2	soft	soft	ADJ
brj-23067	398	3	sensors	sensor	NOUN
brj-23067	398	4	in	in	ADP
brj-23067	398	5	refining	refining	NOUN
brj-23067	398	6	,	,	PUNCT
brj-23067	398	7	”	"	PUNCT
brj-23067	398	8	bioresources	bioresource	NOUN
brj-23067	398	9	19(1	19(1	NUM
brj-23067	398	10	)	)	PUNCT
brj-23067	398	11	,	,	PUNCT
brj-23067	398	12	1030	1030	NUM
brj-23067	398	13	-	-	SYM
brj-23067	398	14	1057	1057	NUM
brj-23067	398	15	.	.	PUNCT
brj-23067	399	1	1052	1052	NUM
brj-23067	399	2	demuth	demuth	NOUN
brj-23067	399	3	,	,	PUNCT
brj-23067	399	4	h.	h.	NOUN
brj-23067	399	5	,	,	PUNCT
brj-23067	399	6	and	and	CCONJ
brj-23067	399	7	beale	beale	NOUN
brj-23067	399	8	,	,	PUNCT
brj-23067	399	9	m.	m.	NOUN
brj-23067	399	10	(	(	PUNCT
brj-23067	399	11	2004	2004	NUM
brj-23067	399	12	)	)	PUNCT
brj-23067	399	13	.	.	PUNCT
brj-23067	400	1	neural	neural	ADJ
brj-23067	400	2	network	network	PROPN
brj-23067	400	3	toolbox	toolbox	NOUN
brj-23067	400	4	,	,	PUNCT
brj-23067	400	5	user	user	NOUN
brj-23067	400	6	’s	’s	PART
brj-23067	400	7	guide	guide	NOUN
brj-23067	400	8	,	,	PUNCT
brj-23067	400	9	the	the	DET
brj-23067	400	10	mathworks	mathworks	PROPN
brj-23067	400	11	inc	inc	PROPN
brj-23067	400	12	.	.	PROPN
brj-23067	400	13	,	,	PUNCT
brj-23067	400	14	natick	natick	PROPN
brj-23067	400	15	,	,	PUNCT
brj-23067	400	16	ma	ma	PROPN
brj-23067	400	17	,	,	PUNCT
brj-23067	400	18	usa	usa	PROPN
brj-23067	400	19	.	.	PROPN
brj-23067	400	20	draper	draper	PROPN
brj-23067	400	21	,	,	PUNCT
brj-23067	400	22	n.	n.	PROPN
brj-23067	400	23	r.	r.	PROPN
brj-23067	400	24	,	,	PUNCT
brj-23067	400	25	and	and	CCONJ
brj-23067	400	26	smith	smith	PROPN
brj-23067	400	27	,	,	PUNCT
brj-23067	400	28	h.	h.	PROPN
brj-23067	400	29	(	(	PUNCT
brj-23067	400	30	1998	1998	NUM
brj-23067	400	31	)	)	PUNCT
brj-23067	400	32	.	.	PUNCT
brj-23067	401	1	applied	apply	VERB
brj-23067	401	2	regression	regression	NOUN
brj-23067	401	3	analysis	analysis	NOUN
brj-23067	401	4	,	,	PUNCT
brj-23067	401	5	3rd	3rd	ADJ
brj-23067	401	6	ed	ed	NOUN
brj-23067	401	7	.	.	PROPN
brj-23067	401	8	,	,	PUNCT
brj-23067	401	9	wiley	wiley	PROPN
brj-23067	401	10	,	,	PUNCT
brj-23067	401	11	new	new	PROPN
brj-23067	401	12	york	york	PROPN
brj-23067	401	13	,	,	PUNCT
brj-23067	401	14	ny	ny	PROPN
brj-23067	401	15	,	,	PUNCT
brj-23067	401	16	usa	usa	PROPN
brj-23067	401	17	.	.	PROPN
brj-23067	401	18	eriksson	eriksson	PROPN
brj-23067	401	19	,	,	PUNCT
brj-23067	401	20	k.	k.	PROPN
brj-23067	401	21	(	(	PUNCT
brj-23067	401	22	2005	2005	NUM
brj-23067	401	23	)	)	PUNCT
brj-23067	401	24	.	.	PUNCT
brj-23067	402	1	an	an	DET
brj-23067	402	2	entropy	entropy	ADV
brj-23067	402	3	-	-	PUNCT
brj-23067	402	4	based	base	VERB
brj-23067	402	5	modeling	modeling	NOUN
brj-23067	402	6	approach	approach	NOUN
brj-23067	402	7	to	to	ADP
brj-23067	402	8	internally	internally	ADV
brj-23067	402	9	interconnected	interconnect	VERB
brj-23067	402	10	tmp	tmp	NOUN
brj-23067	402	11	refining	refining	NOUN
brj-23067	402	12	processes	process	NOUN
brj-23067	402	13	,	,	PUNCT
brj-23067	402	14	licentiate	licentiate	NOUN
brj-23067	402	15	thesis	thesis	NOUN
brj-23067	402	16	,	,	PUNCT
brj-23067	402	17	chalmers	chalmer	VERB
brj-23067	402	18	university	university	NOUN
brj-23067	402	19	of	of	ADP
brj-23067	402	20	technology	technology	PROPN
brj-23067	402	21	,	,	PUNCT
brj-23067	402	22	göteborg	göteborg	PROPN
brj-23067	402	23	,	,	PUNCT
brj-23067	402	24	sweden	sweden	PROPN
brj-23067	403	1	.	.	PROPN
brj-23067	403	2	eriksson	eriksson	PROPN
brj-23067	403	3	,	,	PUNCT
brj-23067	403	4	k.	k.	PROPN
brj-23067	403	5	(	(	PUNCT
brj-23067	403	6	2009	2009	NUM
brj-23067	403	7	)	)	PUNCT
brj-23067	403	8	.	.	PUNCT
brj-23067	404	1	towards	towards	ADP
brj-23067	404	2	improved	improve	VERB
brj-23067	404	3	control	control	NOUN
brj-23067	404	4	of	of	ADP
brj-23067	404	5	tmp	tmp	NOUN
brj-23067	404	6	refining	refining	NOUN
brj-23067	404	7	processes	process	NOUN
brj-23067	404	8	,	,	PUNCT
brj-23067	404	9	ph.d	ph.d	PROPN
brj-23067	404	10	.	.	PUNCT
brj-23067	405	1	thesis	thesis	PROPN
brj-23067	405	2	,	,	PUNCT
brj-23067	405	3	chalmers	chalmer	VERB
brj-23067	405	4	university	university	NOUN
brj-23067	405	5	of	of	ADP
brj-23067	405	6	technology	technology	PROPN
brj-23067	405	7	,	,	PUNCT
brj-23067	405	8	göteborg	göteborg	PROPN
brj-23067	405	9	,	,	PUNCT
brj-23067	405	10	sweden	sweden	PROPN
brj-23067	405	11	.	.	PUNCT
brj-23067	406	1	ferritsius	ferritsius	ADJ
brj-23067	406	2	,	,	PUNCT
brj-23067	406	3	o.	o.	INTJ
brj-23067	406	4	(	(	PUNCT
brj-23067	406	5	2021	2021	NUM
brj-23067	406	6	)	)	PUNCT
brj-23067	406	7	.	.	PUNCT
brj-23067	407	1	beyond	beyond	ADP
brj-23067	407	2	averages	average	NOUN
brj-23067	407	3	some	some	DET
brj-23067	407	4	aspects	aspect	NOUN
brj-23067	407	5	of	of	ADP
brj-23067	407	6	how	how	SCONJ
brj-23067	407	7	to	to	PART
brj-23067	407	8	describe	describe	VERB
brj-23067	407	9	a	a	DET
brj-23067	407	10	heterogeneous	heterogeneous	ADJ
brj-23067	407	11	material	material	NOUN
brj-23067	407	12	.	.	PUNCT
brj-23067	408	1	mechanical	mechanical	ADJ
brj-23067	408	2	pulp	pulp	NOUN
brj-23067	408	3	,	,	PUNCT
brj-23067	408	4	on	on	ADP
brj-23067	408	5	particle	particle	NOUN
brj-23067	408	6	level	level	NOUN
brj-23067	408	7	,	,	PUNCT
brj-23067	408	8	doctoral	doctoral	ADJ
brj-23067	408	9	thesis	thesis	NOUN
brj-23067	408	10	,	,	PUNCT
brj-23067	408	11	mid	mid	PROPN
brj-23067	408	12	sweden	sweden	PROPN
brj-23067	408	13	university	university	PROPN
brj-23067	408	14	,	,	PUNCT
brj-23067	408	15	sundsvall	sundsvall	PROPN
brj-23067	408	16	,	,	PUNCT
brj-23067	408	17	sweden	sweden	PROPN
brj-23067	408	18	.	.	PUNCT
brj-23067	409	1	ferritsius	ferritsius	ADJ
brj-23067	409	2	,	,	PUNCT
brj-23067	409	3	o.	o.	PROPN
brj-23067	409	4	,	,	PUNCT
brj-23067	409	5	ferritsius	ferritsius	PROPN
brj-23067	409	6	,	,	PUNCT
brj-23067	409	7	r.	r.	NOUN
brj-23067	409	8	,	,	PUNCT
brj-23067	409	9	and	and	CCONJ
brj-23067	409	10	rundlöf	rundlöf	NOUN
brj-23067	409	11	,	,	PUNCT
brj-23067	409	12	m.	m.	NOUN
brj-23067	409	13	(	(	PUNCT
brj-23067	409	14	2020	2020	NUM
brj-23067	409	15	)	)	PUNCT
brj-23067	409	16	.	.	PUNCT
brj-23067	410	1	“	"	PUNCT
brj-23067	410	2	average	average	ADJ
brj-23067	410	3	fibre	fibre	NOUN
brj-23067	410	4	length	length	NOUN
brj-23067	410	5	as	as	ADP
brj-23067	410	6	a	a	DET
brj-23067	410	7	measure	measure	NOUN
brj-23067	410	8	of	of	ADP
brj-23067	410	9	the	the	DET
brj-23067	410	10	amount	amount	NOUN
brj-23067	410	11	of	of	ADP
brj-23067	410	12	long	long	ADJ
brj-23067	410	13	fibres	fibre	NOUN
brj-23067	410	14	in	in	ADP
brj-23067	410	15	mechanical	mechanical	ADJ
brj-23067	410	16	pulps	pulp	NOUN
brj-23067	410	17	–	–	PUNCT
brj-23067	410	18	ranking	rank	VERB
brj-23067	410	19	of	of	ADP
brj-23067	410	20	pulps	pulp	NOUN
brj-23067	410	21	may	may	AUX
brj-23067	410	22	shift	shift	VERB
brj-23067	410	23	,	,	PUNCT
brj-23067	410	24	”	"	PUNCT
brj-23067	410	25	nord	nord	PROPN
brj-23067	410	26	.	.	PUNCT
brj-23067	410	27	pulp	pulp	NOUN
brj-23067	410	28	paper	paper	NOUN
brj-23067	410	29	res	re	NOUN
brj-23067	410	30	.	.	PUNCT
brj-23067	411	1	j.	j.	PROPN
brj-23067	411	2	33(3	33(3	PROPN
brj-23067	411	3	)	)	PUNCT
brj-23067	411	4	,	,	PUNCT
brj-23067	411	5	468	468	NUM
brj-23067	411	6	-	-	SYM
brj-23067	411	7	481	481	NUM
brj-23067	411	8	.	.	PUNCT
brj-23067	412	1	doi	doi	NOUN
brj-23067	412	2	:	:	PUNCT
brj-23067	412	3	10.1515	10.1515	NUM
brj-23067	412	4	/	/	SYM
brj-23067	412	5	npprj-2018	npprj-2018	NOUN
brj-23067	412	6	-	-	PUNCT
brj-23067	412	7	3058	3058	NUM
brj-23067	412	8	ferritsius	ferritsius	NOUN
brj-23067	412	9	,	,	PUNCT
brj-23067	412	10	r.	r.	PROPN
brj-23067	412	11	,	,	PUNCT
brj-23067	412	12	ferritsius	ferritsius	PROPN
brj-23067	412	13	,	,	PUNCT
brj-23067	412	14	o.	o.	PROPN
brj-23067	412	15	,	,	PUNCT
brj-23067	412	16	hill	hill	PROPN
brj-23067	412	17	,	,	PUNCT
brj-23067	412	18	j.	j.	PROPN
brj-23067	412	19	,	,	PUNCT
brj-23067	412	20	karlström	karlström	PROPN
brj-23067	412	21	,	,	PUNCT
brj-23067	412	22	a.	a.	NOUN
brj-23067	412	23	,	,	PUNCT
brj-23067	412	24	and	and	CCONJ
brj-23067	412	25	eriksson	eriksson	PROPN
brj-23067	412	26	,	,	PUNCT
brj-23067	412	27	k.	k.	PROPN
brj-23067	412	28	(	(	PUNCT
brj-23067	412	29	2018	2018	NUM
brj-23067	412	30	)	)	PUNCT
brj-23067	412	31	.	.	PUNCT
brj-23067	413	1	“	"	PUNCT
brj-23067	413	2	tmp	tmp	NOUN
brj-23067	413	3	properties	property	NOUN
brj-23067	413	4	and	and	CCONJ
brj-23067	413	5	process	process	NOUN
brj-23067	413	6	conditions	condition	NOUN
brj-23067	413	7	in	in	ADP
brj-23067	413	8	a	a	DET
brj-23067	413	9	cd82	cd82	PROPN
brj-23067	413	10	chip	chip	NOUN
brj-23067	413	11	refiner	refiner	NOUN
brj-23067	413	12	at	at	ADP
brj-23067	413	13	different	different	ADJ
brj-23067	413	14	operation	operation	NOUN
brj-23067	413	15	points	point	NOUN
brj-23067	413	16	part	part	NOUN
brj-23067	413	17	i	i	PRON
brj-23067	413	18	:	:	PUNCT
brj-23067	413	19	step	step	NOUN
brj-23067	413	20	changes	change	NOUN
brj-23067	413	21	of	of	ADP
brj-23067	413	22	the	the	DET
brj-23067	413	23	process	process	NOUN
brj-23067	413	24	variables	variable	NOUN
brj-23067	413	25	,	,	PUNCT
brj-23067	413	26	description	description	NOUN
brj-23067	413	27	of	of	ADP
brj-23067	413	28	the	the	DET
brj-23067	413	29	separate	separate	ADJ
brj-23067	413	30	tests	test	NOUN
brj-23067	413	31	,	,	PUNCT
brj-23067	413	32	”	"	PUNCT
brj-23067	413	33	nord	nord	PROPN
brj-23067	413	34	.	.	PUNCT
brj-23067	413	35	pulp	pulp	NOUN
brj-23067	413	36	paper	paper	NOUN
brj-23067	413	37	res	re	NOUN
brj-23067	413	38	.	.	PUNCT
brj-23067	414	1	j.	j.	PROPN
brj-23067	414	2	33(1	33(1	PROPN
brj-23067	414	3	)	)	PUNCT
brj-23067	414	4	,	,	PUNCT
brj-23067	414	5	82	82	NUM
brj-23067	414	6	-	-	SYM
brj-23067	414	7	94	94	NUM
brj-23067	414	8	.	.	PUNCT
brj-23067	415	1	doi	doi	NOUN
brj-23067	415	2	:	:	PUNCT
brj-23067	415	3	10.1515	10.1515	NUM
brj-23067	415	4	/	/	SYM
brj-23067	415	5	npprj-2018	npprj-2018	NOUN
brj-23067	415	6	-	-	PUNCT
brj-23067	415	7	3003	3003	NUM
brj-23067	415	8	ferritsius	ferritsius	NOUN
brj-23067	415	9	,	,	PUNCT
brj-23067	415	10	r.	r.	PROPN
brj-23067	415	11	,	,	PUNCT
brj-23067	415	12	ferritsius	ferritsius	PROPN
brj-23067	415	13	,	,	PUNCT
brj-23067	415	14	o.	o.	PROPN
brj-23067	415	15	,	,	PUNCT
brj-23067	415	16	hill	hill	PROPN
brj-23067	415	17	,	,	PUNCT
brj-23067	415	18	j.	j.	PROPN
brj-23067	415	19	,	,	PUNCT
brj-23067	415	20	karlström	karlström	PROPN
brj-23067	415	21	,	,	PUNCT
brj-23067	415	22	a.	a.	NOUN
brj-23067	415	23	,	,	PUNCT
brj-23067	415	24	and	and	CCONJ
brj-23067	415	25	ferritsius	ferritsius	PROPN
brj-23067	415	26	,	,	PUNCT
brj-23067	415	27	j.	j.	PROPN
brj-23067	415	28	(	(	PUNCT
brj-23067	415	29	2017	2017	NUM
brj-23067	415	30	)	)	PUNCT
brj-23067	415	31	.	.	PUNCT
brj-23067	416	1	“	"	PUNCT
brj-23067	416	2	process	process	NOUN
brj-23067	416	3	considerations	consideration	NOUN
brj-23067	416	4	and	and	CCONJ
brj-23067	416	5	its	its	PRON
brj-23067	416	6	demands	demand	NOUN
brj-23067	416	7	on	on	ADP
brj-23067	416	8	tmp	tmp	NOUN
brj-23067	416	9	property	property	NOUN
brj-23067	416	10	measurements	measurement	NOUN
brj-23067	416	11	–	–	PUNCT
brj-23067	416	12	a	a	DET
brj-23067	416	13	study	study	NOUN
brj-23067	416	14	on	on	ADP
brj-23067	416	15	tensile	tensile	NOUN
brj-23067	416	16	index	index	NOUN
brj-23067	416	17	,	,	PUNCT
brj-23067	416	18	”	"	PUNCT
brj-23067	416	19	nord	nord	PROPN
brj-23067	416	20	.	.	PUNCT
brj-23067	416	21	pulp	pulp	NOUN
brj-23067	416	22	paper	paper	NOUN
brj-23067	416	23	res	re	NOUN
brj-23067	416	24	.	.	PUNCT
brj-23067	417	1	j.	j.	PROPN
brj-23067	417	2	32(1	32(1	PROPN
brj-23067	417	3	)	)	PUNCT
brj-23067	417	4	,	,	PUNCT
brj-23067	417	5	45	45	NUM
brj-23067	417	6	-	-	SYM
brj-23067	417	7	53	53	NUM
brj-23067	417	8	.	.	PUNCT
brj-23067	418	1	doi	doi	NOUN
brj-23067	418	2	:	:	PUNCT
brj-23067	418	3	10.3183	10.3183	NUM
brj-23067	418	4	/	/	SYM
brj-23067	418	5	npprj-2017	npprj-2017	NOUN
brj-23067	418	6	-	-	PUNCT
brj-23067	418	7	32	32	NUM
brj-23067	418	8	-	-	PUNCT
brj-23067	418	9	01p045	01p045	NOUN
brj-23067	418	10	-	-	PUNCT
brj-23067	418	11	053	053	NUM
brj-23067	418	12	gavin	gavin	PROPN
brj-23067	418	13	,	,	PUNCT
brj-23067	418	14	h.	h.	PROPN
brj-23067	418	15	p.	p.	PROPN
brj-23067	418	16	(	(	PUNCT
brj-23067	418	17	2020	2020	NUM
brj-23067	418	18	)	)	PUNCT
brj-23067	418	19	.	.	PUNCT
brj-23067	419	1	the	the	DET
brj-23067	419	2	levenberg	levenberg	PROPN
brj-23067	419	3	-	-	PUNCT
brj-23067	419	4	marquardt	marquardt	PROPN
brj-23067	419	5	algorithm	algorithm	PROPN
brj-23067	419	6	for	for	ADP
brj-23067	419	7	nonlinear	nonlinear	ADJ
brj-23067	419	8	least	least	ADJ
brj-23067	419	9	square	square	ADJ
brj-23067	419	10	curve	curve	NOUN
brj-23067	419	11	-	-	PUNCT
brj-23067	419	12	fitting	fit	VERB
brj-23067	419	13	problems	problem	NOUN
brj-23067	419	14	,	,	PUNCT
brj-23067	419	15	department	department	NOUN
brj-23067	419	16	of	of	ADP
brj-23067	419	17	civil	civil	ADJ
brj-23067	419	18	and	and	CCONJ
brj-23067	419	19	environmental	environmental	ADJ
brj-23067	419	20	engineering	engineering	NOUN
brj-23067	419	21	,	,	PUNCT
brj-23067	419	22	duke	duke	PROPN
brj-23067	419	23	university	university	PROPN
brj-23067	419	24	,	,	PUNCT
brj-23067	419	25	nc	nc	PROPN
brj-23067	419	26	,	,	PUNCT
brj-23067	419	27	usa	usa	PROPN
brj-23067	419	28	.	.	PROPN
brj-23067	419	29	hagan	hagan	PROPN
brj-23067	419	30	,	,	PUNCT
brj-23067	419	31	m.	m.	NOUN
brj-23067	419	32	t.	t.	PROPN
brj-23067	419	33	,	,	PUNCT
brj-23067	419	34	and	and	CCONJ
brj-23067	419	35	menhaj	menhaj	PROPN
brj-23067	419	36	,	,	PUNCT
brj-23067	419	37	m.	m.	NOUN
brj-23067	419	38	(	(	PUNCT
brj-23067	419	39	1994	1994	NUM
brj-23067	419	40	)	)	PUNCT
brj-23067	419	41	.	.	PUNCT
brj-23067	420	1	“	"	PUNCT
brj-23067	420	2	training	train	VERB
brj-23067	420	3	feed	feed	NOUN
brj-23067	420	4	-	-	PUNCT
brj-23067	420	5	forward	forward	NOUN
brj-23067	420	6	networks	network	NOUN
brj-23067	420	7	with	with	ADP
brj-23067	420	8	the	the	DET
brj-23067	420	9	marquardt	marquardt	PROPN
brj-23067	420	10	algorithm	algorithm	NOUN
brj-23067	420	11	,	,	PUNCT
brj-23067	420	12	”	"	PUNCT
brj-23067	420	13	ieee	ieee	NOUN
brj-23067	420	14	transactions	transaction	NOUN
brj-23067	420	15	on	on	ADP
brj-23067	420	16	neural	neural	ADJ
brj-23067	420	17	networks	network	NOUN
brj-23067	420	18	5(6	5(6	NUM
brj-23067	420	19	)	)	PUNCT
brj-23067	420	20	,	,	PUNCT
brj-23067	420	21	989	989	NUM
brj-23067	420	22	-	-	SYM
brj-23067	420	23	993	993	NUM
brj-23067	420	24	.	.	PUNCT
brj-23067	421	1	doi	doi	NOUN
brj-23067	421	2	:	:	PUNCT
brj-23067	421	3	10.1109/72.329697	10.1109/72.329697	NUM
brj-23067	421	4	hagan	hagan	NOUN
brj-23067	421	5	,	,	PUNCT
brj-23067	421	6	m.	m.	NOUN
brj-23067	421	7	t.	t.	PROPN
brj-23067	421	8	,	,	PUNCT
brj-23067	421	9	demuth	demuth	PROPN
brj-23067	421	10	,	,	PUNCT
brj-23067	421	11	h.	h.	PROPN
brj-23067	421	12	b.	b.	PROPN
brj-23067	421	13	,	,	PUNCT
brj-23067	421	14	and	and	CCONJ
brj-23067	421	15	beale	beale	NOUN
brj-23067	421	16	,	,	PUNCT
brj-23067	421	17	m.	m.	NOUN
brj-23067	421	18	h.	h.	PROPN
brj-23067	421	19	(	(	PUNCT
brj-23067	421	20	1996	1996	NUM
brj-23067	421	21	)	)	PUNCT
brj-23067	421	22	.	.	PUNCT
brj-23067	422	1	neural	neural	ADJ
brj-23067	422	2	network	network	NOUN
brj-23067	422	3	design	design	NOUN
brj-23067	422	4	,	,	PUNCT
brj-23067	422	5	pws	pws	NOUN
brj-23067	422	6	publishing	publishing	NOUN
brj-23067	422	7	,	,	PUNCT
brj-23067	422	8	boston	boston	PROPN
brj-23067	422	9	,	,	PUNCT
brj-23067	422	10	ma	ma	PROPN
brj-23067	422	11	,	,	PUNCT
brj-23067	422	12	usa	usa	PROPN
brj-23067	422	13	.	.	PROPN
brj-23067	422	14	harkonen	harkonen	PROPN
brj-23067	422	15	,	,	PUNCT
brj-23067	422	16	e.	e.	PROPN
brj-23067	422	17	,	,	PUNCT
brj-23067	422	18	huusari	huusari	PROPN
brj-23067	422	19	,	,	PUNCT
brj-23067	422	20	e.	e.	PROPN
brj-23067	422	21	and	and	CCONJ
brj-23067	422	22	ravila	ravila	PROPN
brj-23067	422	23	,	,	PUNCT
brj-23067	422	24	p.	p.	NOUN
brj-23067	422	25	(	(	PUNCT
brj-23067	422	26	1999	1999	NUM
brj-23067	422	27	)	)	PUNCT
brj-23067	422	28	.	.	PUNCT
brj-23067	423	1	“	"	PUNCT
brj-23067	423	2	residence	residence	NOUN
brj-23067	423	3	time	time	NOUN
brj-23067	423	4	of	of	ADP
brj-23067	423	5	fibre	fibre	NOUN
brj-23067	423	6	in	in	ADP
brj-23067	423	7	a	a	DET
brj-23067	423	8	single	single	ADJ
brj-23067	423	9	disc	disc	NOUN
brj-23067	423	10	refiner	refiner	NOUN
brj-23067	423	11	,	,	PUNCT
brj-23067	423	12	”	"	PUNCT
brj-23067	423	13	in	in	ADP
brj-23067	423	14	:	:	PUNCT
brj-23067	423	15	international	international	ADJ
brj-23067	423	16	mechanical	mechanical	ADJ
brj-23067	423	17	pulping	pulp	VERB
brj-23067	423	18	conference	conference	NOUN
brj-23067	423	19	,	,	PUNCT
brj-23067	423	20	houston	houston	PROPN
brj-23067	423	21	,	,	PUNCT
brj-23067	423	22	tx	tx	PROPN
brj-23067	423	23	,	,	PUNCT
brj-23067	423	24	usa	usa	PROPN
brj-23067	423	25	,	,	PUNCT
brj-23067	423	26	pp	pp	PROPN
brj-23067	423	27	.	.	PUNCT
brj-23067	424	1	77	77	NUM
brj-23067	424	2	-	-	SYM
brj-23067	424	3	86	86	NUM
brj-23067	424	4	.	.	PUNCT
brj-23067	425	1	harkonen	harkonen	PROPN
brj-23067	425	2	,	,	PUNCT
brj-23067	425	3	e.	e.	PROPN
brj-23067	425	4	,	,	PUNCT
brj-23067	425	5	kortelainen	kortelainen	PROPN
brj-23067	425	6	,	,	PUNCT
brj-23067	425	7	j.	j.	PROPN
brj-23067	425	8	,	,	PUNCT
brj-23067	425	9	virtanen	virtanen	PROPN
brj-23067	425	10	,	,	PUNCT
brj-23067	425	11	j.	j.	PROPN
brj-23067	425	12	,	,	PUNCT
brj-23067	425	13	and	and	CCONJ
brj-23067	425	14	vuorio	vuorio	PROPN
brj-23067	425	15	,	,	PUNCT
brj-23067	425	16	p.	p.	NOUN
brj-23067	425	17	(	(	PUNCT
brj-23067	425	18	2003	2003	NUM
brj-23067	425	19	)	)	PUNCT
brj-23067	425	20	.	.	PUNCT
brj-23067	426	1	“	"	PUNCT
brj-23067	426	2	fiber	fiber	NOUN
brj-23067	426	3	development	development	NOUN
brj-23067	426	4	in	in	ADP
brj-23067	426	5	tmp	tmp	VERB
brj-23067	426	6	main	main	ADJ
brj-23067	426	7	line	line	NOUN
brj-23067	426	8	,	,	PUNCT
brj-23067	426	9	”	"	PUNCT
brj-23067	426	10	in	in	ADP
brj-23067	426	11	:	:	PUNCT
brj-23067	426	12	international	international	ADJ
brj-23067	426	13	mechanical	mechanical	ADJ
brj-23067	426	14	pulping	pulp	VERB
brj-23067	426	15	conference	conference	NOUN
brj-23067	426	16	,	,	PUNCT
brj-23067	426	17	quebec	quebec	PROPN
brj-23067	426	18	,	,	PUNCT
brj-23067	426	19	canada	canada	PROPN
brj-23067	426	20	,	,	PUNCT
brj-23067	426	21	pp	pp	X
brj-23067	426	22	.	.	PUNCT
brj-23067	427	1	171	171	NUM
brj-23067	427	2	-	-	SYM
brj-23067	427	3	178	178	NUM
brj-23067	427	4	.	.	PUNCT
brj-23067	427	5	huhtanen	huhtanen	NOUN
brj-23067	427	6	,	,	PUNCT
brj-23067	427	7	j.	j.	PROPN
brj-23067	427	8	p.	p.	PROPN
brj-23067	427	9	(	(	PUNCT
brj-23067	427	10	2004	2004	NUM
brj-23067	427	11	)	)	PUNCT
brj-23067	427	12	.	.	PUNCT
brj-23067	428	1	modeling	modeling	NOUN
brj-23067	428	2	of	of	ADP
brj-23067	428	3	fiber	fiber	NOUN
brj-23067	428	4	suspension	suspension	NOUN
brj-23067	428	5	flows	flow	NOUN
brj-23067	428	6	in	in	ADP
brj-23067	428	7	refiner	refiner	NOUN
brj-23067	428	8	and	and	CCONJ
brj-23067	428	9	other	other	ADJ
brj-23067	428	10	papermaking	papermaking	NOUN
brj-23067	428	11	processes	process	NOUN
brj-23067	428	12	by	by	ADP
brj-23067	428	13	combining	combine	VERB
brj-23067	428	14	non	non	ADJ
brj-23067	428	15	-	-	ADJ
brj-23067	428	16	newtonian	newtonian	ADJ
brj-23067	428	17	fluid	fluid	ADJ
brj-23067	428	18	dynamics	dynamic	NOUN
brj-23067	428	19	and	and	CCONJ
brj-23067	428	20	turbulence	turbulence	NOUN
brj-23067	428	21	,	,	PUNCT
brj-23067	428	22	ph.d	ph.d	PROPN
brj-23067	428	23	.	.	PUNCT
brj-23067	429	1	thesis	thesis	NOUN
brj-23067	429	2	,	,	PUNCT
brj-23067	429	3	tampere	tampere	PROPN
brj-23067	429	4	university	university	PROPN
brj-23067	429	5	of	of	ADP
brj-23067	429	6	technology	technology	NOUN
brj-23067	429	7	,	,	PUNCT
brj-23067	429	8	tampere	tampere	PROPN
brj-23067	429	9	,	,	PUNCT
brj-23067	429	10	finland	finland	PROPN
brj-23067	429	11	.	.	PUNCT
brj-23067	429	12	jolliffe	jolliffe	PROPN
brj-23067	429	13	,	,	PUNCT
brj-23067	429	14	i.	i.	PROPN
brj-23067	429	15	t.	t.	PROPN
brj-23067	429	16	(	(	PUNCT
brj-23067	429	17	2002	2002	NUM
brj-23067	429	18	)	)	PUNCT
brj-23067	429	19	.	.	PUNCT
brj-23067	430	1	principal	principal	ADJ
brj-23067	430	2	component	component	NOUN
brj-23067	430	3	analysis	analysis	NOUN
brj-23067	430	4	,	,	PUNCT
brj-23067	430	5	2nd	2nd	ADJ
brj-23067	430	6	ed	ed	NOUN
brj-23067	430	7	.	.	PROPN
brj-23067	430	8	,	,	PUNCT
brj-23067	430	9	springer	springer	NOUN
brj-23067	430	10	,	,	PUNCT
brj-23067	430	11	new	new	PROPN
brj-23067	430	12	york	york	PROPN
brj-23067	430	13	,	,	PUNCT
brj-23067	430	14	ny	ny	PROPN
brj-23067	430	15	,	,	PUNCT
brj-23067	430	16	usa	usa	PROPN
brj-23067	430	17	.	.	PROPN
brj-23067	430	18	jos	jos	PROPN
brj-23067	430	19	de	de	PROPN
brj-23067	430	20	assis	assis	PROPN
brj-23067	430	21	,	,	PUNCT
brj-23067	430	22	a.	a.	NOUN
brj-23067	430	23	j.	j.	PROPN
brj-23067	430	24	,	,	PUNCT
brj-23067	430	25	and	and	CCONJ
brj-23067	430	26	filho	filho	PROPN
brj-23067	430	27	,	,	PUNCT
brj-23067	430	28	r.	r.	PROPN
brj-23067	430	29	m.	m.	PROPN
brj-23067	430	30	(	(	PUNCT
brj-23067	430	31	2000	2000	NUM
brj-23067	430	32	)	)	PUNCT
brj-23067	430	33	.	.	PUNCT
brj-23067	431	1	“	"	PUNCT
brj-23067	431	2	soft	soft	ADJ
brj-23067	431	3	sensors	sensor	NOUN
brj-23067	431	4	development	development	NOUN
brj-23067	431	5	for	for	ADP
brj-23067	431	6	on	on	ADP
brj-23067	431	7	-	-	PUNCT
brj-23067	431	8	line	line	NOUN
brj-23067	431	9	bioreactor	bioreactor	NOUN
brj-23067	431	10	state	state	NOUN
brj-23067	431	11	estimation	estimation	NOUN
brj-23067	431	12	,	,	PUNCT
brj-23067	431	13	”	"	PUNCT
brj-23067	431	14	comp	comp	NOUN
brj-23067	431	15	.	.	PUNCT
brj-23067	431	16	chem	chem	PROPN
brj-23067	431	17	.	.	PUNCT
brj-23067	432	1	eng	eng	PROPN
brj-23067	432	2	.	.	PUNCT
brj-23067	433	1	24(2	24(2	NUM
brj-23067	433	2	)	)	PUNCT
brj-23067	433	3	,	,	PUNCT
brj-23067	433	4	1099	1099	NUM
brj-23067	433	5	-	-	SYM
brj-23067	433	6	1103	1103	NUM
brj-23067	433	7	.	.	PUNCT
brj-23067	434	1	doi	doi	NOUN
brj-23067	434	2	:	:	PUNCT
brj-23067	434	3	10.1016	10.1016	NUM
brj-23067	434	4	/	/	SYM
brj-23067	434	5	s0098	s0098	NOUN
brj-23067	434	6	-	-	PUNCT
brj-23067	434	7	1354(00)00489	1354(00)00489	NUM
brj-23067	434	8	-	-	PUNCT
brj-23067	434	9	0	0	NUM
brj-23067	434	10	kadlec	kadlec	NOUN
brj-23067	434	11	,	,	PUNCT
brj-23067	434	12	p.	p.	NOUN
brj-23067	434	13	,	,	PUNCT
brj-23067	434	14	gabrys	gabry	NOUN
brj-23067	434	15	,	,	PUNCT
brj-23067	434	16	b.	b.	PROPN
brj-23067	434	17	,	,	PUNCT
brj-23067	434	18	and	and	CCONJ
brj-23067	434	19	strandt	strandt	PROPN
brj-23067	434	20	,	,	PUNCT
brj-23067	434	21	s.	s.	PROPN
brj-23067	434	22	(	(	PUNCT
brj-23067	434	23	2008	2008	NUM
brj-23067	434	24	)	)	PUNCT
brj-23067	434	25	.	.	PUNCT
brj-23067	435	1	“	"	PUNCT
brj-23067	435	2	data	data	NOUN
brj-23067	435	3	-	-	PUNCT
brj-23067	435	4	driven	drive	VERB
brj-23067	435	5	soft	soft	ADJ
brj-23067	435	6	sensors	sensor	NOUN
brj-23067	435	7	in	in	ADP
brj-23067	435	8	the	the	DET
brj-23067	435	9	process	process	NOUN
brj-23067	435	10	industry	industry	NOUN
brj-23067	435	11	,	,	PUNCT
brj-23067	435	12	”	"	PUNCT
brj-23067	435	13	computers	computer	NOUN
brj-23067	435	14	and	and	CCONJ
brj-23067	435	15	chemical	chemical	NOUN
brj-23067	435	16	engineering	engineering	NOUN
brj-23067	435	17	33(4	33(4	NUM
brj-23067	435	18	)	)	PUNCT
brj-23067	435	19	,	,	PUNCT
brj-23067	435	20	795	795	NUM
brj-23067	435	21	-	-	SYM
brj-23067	435	22	814	814	NUM
brj-23067	435	23	.	.	PUNCT
brj-23067	436	1	doi	doi	NOUN
brj-23067	436	2	:	:	PUNCT
brj-23067	436	3	10.1016	10.1016	NUM
brj-23067	436	4	/	/	SYM
brj-23067	436	5	j.compchemeng.2008.12.012	j.compchemeng.2008.12.012	PROPN
brj-23067	436	6	peer	peer	NOUN
brj-23067	436	7	-	-	PUNCT
brj-23067	436	8	reviewed	review	VERB
brj-23067	436	9	article	article	NOUN
brj-23067	436	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	436	11	karlström	karlström	PROPN
brj-23067	436	12	et	et	PROPN
brj-23067	436	13	al	al	PROPN
brj-23067	436	14	.	.	PROPN
brj-23067	436	15	(	(	PUNCT
brj-23067	436	16	2024	2024	NUM
brj-23067	436	17	)	)	PUNCT
brj-23067	436	18	.	.	PUNCT
brj-23067	437	1	“	"	PUNCT
brj-23067	437	2	soft	soft	ADJ
brj-23067	437	3	sensors	sensor	NOUN
brj-23067	437	4	in	in	ADP
brj-23067	437	5	refining	refining	NOUN
brj-23067	437	6	,	,	PUNCT
brj-23067	437	7	”	"	PUNCT
brj-23067	437	8	bioresources	bioresource	NOUN
brj-23067	437	9	19(1	19(1	NUM
brj-23067	437	10	)	)	PUNCT
brj-23067	437	11	,	,	PUNCT
brj-23067	437	12	1030	1030	NUM
brj-23067	437	13	-	-	SYM
brj-23067	437	14	1057	1057	NUM
brj-23067	437	15	.	.	PUNCT
brj-23067	438	1	1053	1053	NUM
brj-23067	438	2	karlström	karlström	PROPN
brj-23067	438	3	,	,	PUNCT
brj-23067	438	4	a.	a.	NOUN
brj-23067	438	5	,	,	PUNCT
brj-23067	438	6	and	and	CCONJ
brj-23067	438	7	eriksson	eriksson	PROPN
brj-23067	438	8	,	,	PUNCT
brj-23067	438	9	k.	k.	PROPN
brj-23067	438	10	(	(	PUNCT
brj-23067	438	11	2014a	2014a	NUM
brj-23067	438	12	)	)	PUNCT
brj-23067	438	13	.	.	PUNCT
brj-23067	439	1	“	"	PUNCT
brj-23067	439	2	fiber	fiber	NOUN
brj-23067	439	3	energy	energy	NOUN
brj-23067	439	4	efficiency	efficiency	NOUN
brj-23067	439	5	.	.	PUNCT
brj-23067	440	1	part	part	NOUN
brj-23067	441	1	i	i	PRON
brj-23067	441	2	:	:	PUNCT
brj-23067	441	3	extended	extended	ADJ
brj-23067	441	4	entropy	entropy	NOUN
brj-23067	441	5	model	model	NOUN
brj-23067	441	6	,	,	PUNCT
brj-23067	441	7	”	"	PUNCT
brj-23067	441	8	nord	nord	PROPN
brj-23067	441	9	.	.	PUNCT
brj-23067	441	10	pulp	pulp	NOUN
brj-23067	441	11	paper	paper	NOUN
brj-23067	441	12	res	re	NOUN
brj-23067	441	13	.	.	PUNCT
brj-23067	442	1	j.	j.	PROPN
brj-23067	442	2	29(2	29(2	PROPN
brj-23067	442	3	)	)	PUNCT
brj-23067	442	4	,	,	PUNCT
brj-23067	442	5	322	322	NUM
brj-23067	442	6	-	-	SYM
brj-23067	442	7	331	331	NUM
brj-23067	442	8	.	.	PUNCT
brj-23067	443	1	doi	doi	NOUN
brj-23067	443	2	:	:	PUNCT
brj-23067	443	3	10.3183	10.3183	NUM
brj-23067	443	4	/	/	SYM
brj-23067	443	5	npprj-201429	npprj-201429	ADJ
brj-23067	443	6	-	-	PUNCT
brj-23067	443	7	02	02	NUM
brj-23067	443	8	-	-	PUNCT
brj-23067	443	9	p322	p322	PROPN
brj-23067	443	10	-	-	PUNCT
brj-23067	443	11	331	331	NUM
brj-23067	443	12	karlström	karlström	NOUN
brj-23067	443	13	,	,	PUNCT
brj-23067	443	14	a.	a.	NOUN
brj-23067	443	15	,	,	PUNCT
brj-23067	443	16	and	and	CCONJ
brj-23067	443	17	eriksson	eriksson	PROPN
brj-23067	443	18	,	,	PUNCT
brj-23067	443	19	k.	k.	PROPN
brj-23067	443	20	(	(	PUNCT
brj-23067	443	21	2014b	2014b	NUM
brj-23067	443	22	)	)	PUNCT
brj-23067	443	23	.	.	PUNCT
brj-23067	444	1	“	"	PUNCT
brj-23067	444	2	fiber	fiber	NOUN
brj-23067	444	3	energy	energy	NOUN
brj-23067	444	4	efficiency	efficiency	NOUN
brj-23067	444	5	.	.	PUNCT
brj-23067	445	1	part	part	NOUN
brj-23067	445	2	ii	ii	PROPN
brj-23067	445	3	:	:	PUNCT
brj-23067	445	4	forces	force	NOUN
brj-23067	445	5	acting	act	VERB
brj-23067	445	6	on	on	ADP
brj-23067	445	7	the	the	DET
brj-23067	445	8	refiner	refiner	NOUN
brj-23067	445	9	bars	bar	NOUN
brj-23067	445	10	,	,	PUNCT
brj-23067	445	11	”	"	PUNCT
brj-23067	445	12	nord	nord	PROPN
brj-23067	445	13	.	.	PUNCT
brj-23067	445	14	pulp	pulp	NOUN
brj-23067	445	15	paper	paper	NOUN
brj-23067	445	16	res	re	NOUN
brj-23067	445	17	.	.	PUNCT
brj-23067	446	1	j.	j.	PROPN
brj-23067	446	2	29(2	29(2	PROPN
brj-23067	446	3	)	)	PUNCT
brj-23067	446	4	,	,	PUNCT
brj-23067	446	5	332	332	NUM
brj-23067	446	6	-	-	SYM
brj-23067	446	7	343	343	NUM
brj-23067	446	8	.	.	PUNCT
brj-23067	447	1	doi	doi	NOUN
brj-23067	447	2	:	:	PUNCT
brj-23067	447	3	10.3183	10.3183	NUM
brj-23067	447	4	/	/	SYM
brj-23067	447	5	npprj2014	npprj2014	PROPN
brj-23067	447	6	-	-	PUNCT
brj-23067	447	7	29	29	NUM
brj-23067	447	8	-	-	PUNCT
brj-23067	447	9	02	02	NUM
brj-23067	447	10	-	-	PUNCT
brj-23067	447	11	p332	p332	PROPN
brj-23067	447	12	-	-	PUNCT
brj-23067	447	13	343	343	NUM
brj-23067	447	14	karlström	karlström	NOUN
brj-23067	447	15	,	,	PUNCT
brj-23067	447	16	a.	a.	NOUN
brj-23067	447	17	,	,	PUNCT
brj-23067	447	18	and	and	CCONJ
brj-23067	447	19	eriksson	eriksson	PROPN
brj-23067	447	20	,	,	PUNCT
brj-23067	447	21	k.	k.	PROPN
brj-23067	447	22	(	(	PUNCT
brj-23067	447	23	2014c	2014c	PROPN
brj-23067	447	24	)	)	PUNCT
brj-23067	447	25	.	.	PUNCT
brj-23067	448	1	“	"	PUNCT
brj-23067	448	2	refining	refine	VERB
brj-23067	448	3	energy	energy	NOUN
brj-23067	448	4	efficiency	efficiency	NOUN
brj-23067	448	5	.	.	PUNCT
brj-23067	449	1	part	part	NOUN
brj-23067	449	2	iii	iii	NOUN
brj-23067	449	3	:	:	PUNCT
brj-23067	449	4	modeling	modeling	NOUN
brj-23067	449	5	of	of	ADP
brj-23067	449	6	fiber	fiber	NOUN
brj-23067	449	7	-	-	PUNCT
brj-23067	449	8	to	to	ADP
brj-23067	449	9	-	-	PUNCT
brj-23067	449	10	bar	bar	NOUN
brj-23067	449	11	interaction	interaction	NOUN
brj-23067	449	12	,	,	PUNCT
brj-23067	449	13	”	"	PUNCT
brj-23067	449	14	nord	nord	PROPN
brj-23067	449	15	.	.	PUNCT
brj-23067	449	16	pulp	pulp	NOUN
brj-23067	449	17	paper	paper	NOUN
brj-23067	449	18	res	re	NOUN
brj-23067	449	19	.	.	PUNCT
brj-23067	450	1	j.	j.	PROPN
brj-23067	450	2	29(3	29(3	PROPN
brj-23067	450	3	)	)	PUNCT
brj-23067	450	4	,	,	PUNCT
brj-23067	450	5	401	401	NUM
brj-23067	450	6	-	-	SYM
brj-23067	450	7	408	408	NUM
brj-23067	450	8	.	.	PUNCT
brj-23067	451	1	doi	doi	NOUN
brj-23067	451	2	:	:	PUNCT
brj-23067	451	3	10.1515	10.1515	NUM
brj-23067	451	4	/	/	SYM
brj-23067	451	5	npprj-2018	npprj-2018	NOUN
brj-23067	451	6	-	-	PUNCT
brj-23067	451	7	0019	0019	NUM
brj-23067	451	8	karlström	karlström	NOUN
brj-23067	451	9	,	,	PUNCT
brj-23067	451	10	a.	a.	NOUN
brj-23067	451	11	,	,	PUNCT
brj-23067	451	12	and	and	CCONJ
brj-23067	451	13	eriksson	eriksson	PROPN
brj-23067	451	14	,	,	PUNCT
brj-23067	451	15	k.	k.	PROPN
brj-23067	451	16	(	(	PUNCT
brj-23067	451	17	2014d	2014d	NUM
brj-23067	451	18	)	)	PUNCT
brj-23067	451	19	.	.	PUNCT
brj-23067	452	1	“	"	PUNCT
brj-23067	452	2	refining	refine	VERB
brj-23067	452	3	energy	energy	NOUN
brj-23067	452	4	efficiency	efficiency	NOUN
brj-23067	452	5	.	.	PUNCT
brj-23067	453	1	part	part	NOUN
brj-23067	453	2	iv	iv	NUM
brj-23067	453	3	:	:	PUNCT
brj-23067	453	4	multiscale	multiscale	NOUN
brj-23067	453	5	modeling	modeling	NOUN
brj-23067	453	6	of	of	ADP
brj-23067	453	7	refining	refining	NOUN
brj-23067	453	8	processes	process	NOUN
brj-23067	453	9	,	,	PUNCT
brj-23067	453	10	”	"	PUNCT
brj-23067	453	11	nord	nord	PROPN
brj-23067	453	12	.	.	PUNCT
brj-23067	453	13	pulp	pulp	NOUN
brj-23067	453	14	paper	paper	NOUN
brj-23067	453	15	res	re	NOUN
brj-23067	453	16	.	.	PUNCT
brj-23067	454	1	j.	j.	PROPN
brj-23067	454	2	29(3	29(3	PROPN
brj-23067	454	3	)	)	PUNCT
brj-23067	454	4	,	,	PUNCT
brj-23067	454	5	409	409	NUM
brj-23067	454	6	-	-	SYM
brj-23067	454	7	417	417	NUM
brj-23067	454	8	.	.	PUNCT
brj-23067	455	1	doi	doi	NOUN
brj-23067	455	2	:	:	PUNCT
brj-23067	455	3	10.3183	10.3183	NUM
brj-23067	455	4	/	/	SYM
brj-23067	455	5	npprj-2014	npprj-2014	NOUN
brj-23067	455	6	-	-	PUNCT
brj-23067	455	7	29	29	NUM
brj-23067	455	8	-	-	PUNCT
brj-23067	455	9	03	03	NUM
brj-23067	455	10	-	-	PUNCT
brj-23067	455	11	p409	p409	NOUN
brj-23067	455	12	-	-	PUNCT
brj-23067	455	13	417	417	NUM
brj-23067	455	14	karlström	karlström	NOUN
brj-23067	455	15	,	,	PUNCT
brj-23067	455	16	a.	a.	NOUN
brj-23067	455	17	,	,	PUNCT
brj-23067	455	18	and	and	CCONJ
brj-23067	455	19	hill	hill	PROPN
brj-23067	455	20	,	,	PUNCT
brj-23067	455	21	j.	j.	PROPN
brj-23067	455	22	(	(	PUNCT
brj-23067	455	23	2017c	2017c	NUM
brj-23067	455	24	)	)	PUNCT
brj-23067	455	25	.	.	PUNCT
brj-23067	456	1	“	"	PUNCT
brj-23067	456	2	ctmp	ctmp	NOUN
brj-23067	456	3	process	process	NOUN
brj-23067	456	4	optimization	optimization	NOUN
brj-23067	456	5	.	.	PUNCT
brj-23067	457	1	part	part	NOUN
brj-23067	457	2	iii	iii	PROPN
brj-23067	457	3	:	:	PUNCT
brj-23067	457	4	on	on	ADP
brj-23067	457	5	the	the	DET
brj-23067	457	6	prediction	prediction	NOUN
brj-23067	457	7	of	of	ADP
brj-23067	457	8	scott	scott	NOUN
brj-23067	457	9	-	-	PUNCT
brj-23067	457	10	bond	bond	NOUN
brj-23067	457	11	,	,	PUNCT
brj-23067	457	12	z	z	NOUN
brj-23067	457	13	-	-	PUNCT
brj-23067	457	14	strength	strength	NOUN
brj-23067	457	15	and	and	CCONJ
brj-23067	457	16	tensile	tensile	NOUN
brj-23067	457	17	index	index	NOUN
brj-23067	457	18	,	,	PUNCT
brj-23067	457	19	”	"	PUNCT
brj-23067	457	20	nord	nord	PROPN
brj-23067	457	21	.	.	PUNCT
brj-23067	457	22	pulp	pulp	NOUN
brj-23067	457	23	pap	pap	PROPN
brj-23067	457	24	.	.	PUNCT
brj-23067	458	1	res	re	NOUN
brj-23067	458	2	.	.	PUNCT
brj-23067	459	1	j.	j.	PROPN
brj-23067	459	2	32(1	32(1	PROPN
brj-23067	459	3	)	)	PUNCT
brj-23067	459	4	,	,	PUNCT
brj-23067	459	5	253	253	NUM
brj-23067	459	6	-	-	SYM
brj-23067	459	7	265	265	NUM
brj-23067	459	8	.	.	PUNCT
brj-23067	460	1	doi	doi	NOUN
brj-23067	460	2	:	:	PUNCT
brj-23067	460	3	10.3183	10.3183	NUM
brj-23067	460	4	/	/	SYM
brj-23067	460	5	npprj-2017	npprj-2017	NOUN
brj-23067	460	6	-	-	PUNCT
brj-23067	460	7	32	32	NUM
brj-23067	460	8	-	-	PUNCT
brj-23067	460	9	02	02	NUM
brj-23067	460	10	-	-	PUNCT
brj-23067	460	11	p266	p266	NUM
brj-23067	460	12	-	-	PUNCT
brj-23067	460	13	279	279	NUM
brj-23067	460	14	karlström	karlström	NOUN
brj-23067	460	15	,	,	PUNCT
brj-23067	460	16	a.	a.	NOUN
brj-23067	460	17	,	,	PUNCT
brj-23067	460	18	and	and	CCONJ
brj-23067	460	19	hill	hill	PROPN
brj-23067	460	20	,	,	PUNCT
brj-23067	460	21	j.	j.	PROPN
brj-23067	460	22	(	(	PUNCT
brj-23067	460	23	2017a	2017a	NUM
brj-23067	460	24	)	)	PUNCT
brj-23067	460	25	.	.	PUNCT
brj-23067	461	1	“	"	PUNCT
brj-23067	461	2	ctmp	ctmp	NOUN
brj-23067	461	3	process	process	NOUN
brj-23067	461	4	optimization	optimization	NOUN
brj-23067	461	5	.	.	PUNCT
brj-23067	462	1	part	part	NOUN
brj-23067	463	1	i	i	PRON
brj-23067	463	2	:	:	PUNCT
brj-23067	463	3	internal	internal	ADJ
brj-23067	463	4	and	and	CCONJ
brj-23067	463	5	external	external	ADJ
brj-23067	463	6	variables	variable	NOUN
brj-23067	463	7	impact	impact	NOUN
brj-23067	463	8	on	on	ADP
brj-23067	463	9	refiner	refiner	NOUN
brj-23067	463	10	conditions	condition	NOUN
brj-23067	463	11	,	,	PUNCT
brj-23067	463	12	”	"	PUNCT
brj-23067	463	13	nord	nord	PROPN
brj-23067	463	14	.	.	PUNCT
brj-23067	463	15	pulp	pulp	NOUN
brj-23067	463	16	pap	pap	PROPN
brj-23067	463	17	.	.	PUNCT
brj-23067	464	1	res	re	NOUN
brj-23067	464	2	.	.	PUNCT
brj-23067	465	1	j.	j.	PROPN
brj-23067	465	2	32(1	32(1	PROPN
brj-23067	465	3	)	)	PUNCT
brj-23067	465	4	,	,	PUNCT
brj-23067	465	5	3544	3544	NUM
brj-23067	465	6	.	.	PUNCT
brj-23067	466	1	doi	doi	NOUN
brj-23067	466	2	:	:	PUNCT
brj-23067	466	3	10.3183	10.3183	NUM
brj-23067	466	4	/	/	SYM
brj-23067	466	5	npprj-2017	npprj-2017	NOUN
brj-23067	466	6	-	-	PUNCT
brj-23067	466	7	32	32	NUM
brj-23067	466	8	-	-	PUNCT
brj-23067	466	9	01	01	NUM
brj-23067	466	10	-	-	PUNCT
brj-23067	466	11	p035	p035	PROPN
brj-23067	466	12	-	-	PUNCT
brj-23067	466	13	044	044	NUM
brj-23067	466	14	karlström	karlström	NOUN
brj-23067	466	15	,	,	PUNCT
brj-23067	466	16	a.	a.	NOUN
brj-23067	466	17	,	,	PUNCT
brj-23067	466	18	and	and	CCONJ
brj-23067	466	19	hill	hill	PROPN
brj-23067	466	20	,	,	PUNCT
brj-23067	466	21	j.	j.	PROPN
brj-23067	466	22	(	(	PUNCT
brj-23067	466	23	2017b	2017b	NUM
brj-23067	466	24	)	)	PUNCT
brj-23067	466	25	.	.	PUNCT
brj-23067	467	1	“	"	PUNCT
brj-23067	467	2	ctmp	ctmp	NOUN
brj-23067	467	3	process	process	NOUN
brj-23067	467	4	optimization	optimization	NOUN
brj-23067	467	5	.	.	PUNCT
brj-23067	468	1	part	part	NOUN
brj-23067	468	2	ii	ii	PROPN
brj-23067	468	3	:	:	PUNCT
brj-23067	468	4	reliability	reliability	NOUN
brj-23067	468	5	in	in	ADP
brj-23067	468	6	pulp	pulp	NOUN
brj-23067	468	7	and	and	CCONJ
brj-23067	468	8	handsheet	handsheet	ADJ
brj-23067	468	9	measurements	measurement	NOUN
brj-23067	468	10	,	,	PUNCT
brj-23067	468	11	”	"	PUNCT
brj-23067	468	12	nord	nord	PROPN
brj-23067	468	13	.	.	PUNCT
brj-23067	468	14	pulp	pulp	NOUN
brj-23067	468	15	pap	pap	PROPN
brj-23067	468	16	.	.	PUNCT
brj-23067	469	1	res	re	NOUN
brj-23067	469	2	.	.	PUNCT
brj-23067	470	1	j.	j.	PROPN
brj-23067	470	2	32(1	32(1	PROPN
brj-23067	470	3	)	)	PUNCT
brj-23067	470	4	,	,	PUNCT
brj-23067	470	5	266	266	NUM
brj-23067	470	6	-	-	SYM
brj-23067	470	7	279	279	NUM
brj-23067	470	8	.	.	PUNCT
brj-23067	471	1	doi	doi	NOUN
brj-23067	471	2	:	:	PUNCT
brj-23067	471	3	10.3183	10.3183	NUM
brj-23067	471	4	/	/	SYM
brj-23067	471	5	npprj-2017	npprj-2017	NOUN
brj-23067	471	6	-	-	PUNCT
brj-23067	471	7	32	32	NUM
brj-23067	471	8	-	-	PUNCT
brj-23067	471	9	02	02	NUM
brj-23067	471	10	-	-	PUNCT
brj-23067	471	11	p253	p253	PROPN
brj-23067	471	12	-	-	PUNCT
brj-23067	471	13	265	265	NUM
brj-23067	471	14	karlström	karlström	NOUN
brj-23067	471	15	,	,	PUNCT
brj-23067	471	16	a.	a.	NOUN
brj-23067	471	17	,	,	PUNCT
brj-23067	471	18	and	and	CCONJ
brj-23067	471	19	hill	hill	PROPN
brj-23067	471	20	,	,	PUNCT
brj-23067	471	21	j.	j.	PROPN
brj-23067	471	22	(	(	PUNCT
brj-23067	471	23	2018b	2018b	NUM
brj-23067	471	24	)	)	PUNCT
brj-23067	471	25	.	.	PUNCT
brj-23067	472	1	“	"	PUNCT
brj-23067	472	2	control	control	NOUN
brj-23067	472	3	strategies	strategy	NOUN
brj-23067	472	4	for	for	ADP
brj-23067	472	5	refiners	refiner	NOUN
brj-23067	472	6	.	.	PUNCT
brj-23067	473	1	part	part	NOUN
brj-23067	474	1	i	i	NOUN
brj-23067	474	2	:	:	PUNCT
brj-23067	474	3	soft	soft	ADJ
brj-23067	474	4	sensors	sensor	NOUN
brj-23067	474	5	for	for	ADP
brj-23067	474	6	cd	cd	NOUN
brj-23067	474	7	-	-	PUNCT
brj-23067	474	8	refiner	refiner	NOUN
brj-23067	474	9	control	control	NOUN
brj-23067	474	10	,	,	PUNCT
brj-23067	474	11	”	"	PUNCT
brj-23067	474	12	nord	nord	PROPN
brj-23067	474	13	.	.	PUNCT
brj-23067	474	14	pulp	pulp	NOUN
brj-23067	474	15	pap	pap	PROPN
brj-23067	474	16	.	.	PUNCT
brj-23067	475	1	res	re	NOUN
brj-23067	475	2	.	.	PUNCT
brj-23067	476	1	j.	j.	PROPN
brj-23067	476	2	33(1	33(1	PROPN
brj-23067	476	3	)	)	PUNCT
brj-23067	476	4	,	,	PUNCT
brj-23067	476	5	28	28	NUM
brj-23067	476	6	-	-	SYM
brj-23067	476	7	43	43	NUM
brj-23067	476	8	.	.	PUNCT
brj-23067	477	1	doi	doi	NOUN
brj-23067	477	2	:	:	PUNCT
brj-23067	477	3	10.1515	10.1515	NUM
brj-23067	477	4	/	/	SYM
brj-23067	477	5	npprj2018	npprj2018	NOUN
brj-23067	477	6	-	-	PUNCT
brj-23067	477	7	3007	3007	NUM
brj-23067	477	8	karlström	karlström	NOUN
brj-23067	477	9	,	,	PUNCT
brj-23067	477	10	a.	a.	PROPN
brj-23067	477	11	,	,	PUNCT
brj-23067	477	12	eriksson	eriksson	PROPN
brj-23067	477	13	,	,	PUNCT
brj-23067	477	14	k.	k.	PROPN
brj-23067	477	15	,	,	PUNCT
brj-23067	477	16	and	and	CCONJ
brj-23067	477	17	hill	hill	PROPN
brj-23067	477	18	,	,	PUNCT
brj-23067	477	19	j.	j.	PROPN
brj-23067	477	20	(	(	PUNCT
brj-23067	477	21	2015a	2015a	NUM
brj-23067	477	22	)	)	PUNCT
brj-23067	477	23	.	.	PUNCT
brj-23067	478	1	“	"	PUNCT
brj-23067	478	2	refiner	refiner	NOUN
brj-23067	478	3	optimization	optimization	NOUN
brj-23067	478	4	and	and	CCONJ
brj-23067	478	5	control	control	NOUN
brj-23067	478	6	.	.	PUNCT
brj-23067	479	1	part	part	NOUN
brj-23067	479	2	iv	iv	NUM
brj-23067	479	3	:	:	PUNCT
brj-23067	479	4	long	long	ADJ
brj-23067	479	5	term	term	NOUN
brj-23067	479	6	follow	follow	VERB
brj-23067	479	7	up	up	ADP
brj-23067	479	8	of	of	ADP
brj-23067	479	9	control	control	NOUN
brj-23067	479	10	performance	performance	NOUN
brj-23067	479	11	in	in	ADP
brj-23067	479	12	tmp	tmp	NOUN
brj-23067	479	13	processes	process	NOUN
brj-23067	479	14	,	,	PUNCT
brj-23067	479	15	”	"	PUNCT
brj-23067	479	16	nord	nord	PROPN
brj-23067	479	17	.	.	PUNCT
brj-23067	479	18	pulp	pulp	NOUN
brj-23067	479	19	paper	paper	NOUN
brj-23067	479	20	res	re	NOUN
brj-23067	479	21	.	.	PUNCT
brj-23067	480	1	j.	j.	PROPN
brj-23067	480	2	30(3	30(3	PROPN
brj-23067	480	3	)	)	PUNCT
brj-23067	480	4	,	,	PUNCT
brj-23067	480	5	426	426	NUM
brj-23067	480	6	-	-	SYM
brj-23067	480	7	435	435	NUM
brj-23067	480	8	.	.	PUNCT
brj-23067	481	1	doi	doi	NOUN
brj-23067	481	2	:	:	PUNCT
brj-23067	481	3	10.3183	10.3183	NUM
brj-23067	481	4	/	/	SYM
brj-23067	481	5	npprj-2015	npprj-2015	PROPN
brj-23067	481	6	-	-	PUNCT
brj-23067	481	7	30	30	NUM
brj-23067	481	8	-	-	PUNCT
brj-23067	481	9	03	03	NUM
brj-23067	481	10	-	-	PUNCT
brj-23067	481	11	p426	p426	NUM
brj-23067	481	12	-	-	PUNCT
brj-23067	481	13	435	435	NUM
brj-23067	481	14	karlström	karlström	NOUN
brj-23067	481	15	,	,	PUNCT
brj-23067	481	16	a.	a.	PROPN
brj-23067	481	17	,	,	PUNCT
brj-23067	481	18	eriksson	eriksson	PROPN
brj-23067	481	19	,	,	PUNCT
brj-23067	481	20	k.	k.	PROPN
brj-23067	481	21	,	,	PUNCT
brj-23067	481	22	sikter	sikter	PROPN
brj-23067	481	23	,	,	PUNCT
brj-23067	481	24	d.	d.	PROPN
brj-23067	481	25	,	,	PUNCT
brj-23067	481	26	and	and	CCONJ
brj-23067	481	27	gustavsson	gustavsson	PROPN
brj-23067	481	28	,	,	PUNCT
brj-23067	481	29	m.	m.	NOUN
brj-23067	481	30	(	(	PUNCT
brj-23067	481	31	2008	2008	NUM
brj-23067	481	32	)	)	PUNCT
brj-23067	481	33	.	.	PUNCT
brj-23067	482	1	“	"	PUNCT
brj-23067	482	2	refining	refining	NOUN
brj-23067	482	3	models	model	NOUN
brj-23067	482	4	for	for	ADP
brj-23067	482	5	control	control	NOUN
brj-23067	482	6	purposes	purpose	NOUN
brj-23067	482	7	,	,	PUNCT
brj-23067	482	8	”	"	PUNCT
brj-23067	482	9	nord	nord	PROPN
brj-23067	482	10	.	.	PUNCT
brj-23067	482	11	pulp	pulp	NOUN
brj-23067	482	12	paper	paper	NOUN
brj-23067	482	13	res	re	NOUN
brj-23067	482	14	.	.	PUNCT
brj-23067	483	1	j.	j.	PROPN
brj-23067	483	2	23(1	23(1	PROPN
brj-23067	483	3	)	)	PUNCT
brj-23067	483	4	,	,	PUNCT
brj-23067	483	5	129	129	NUM
brj-23067	483	6	-	-	SYM
brj-23067	483	7	138	138	NUM
brj-23067	483	8	.	.	PUNCT
brj-23067	484	1	doi	doi	NOUN
brj-23067	484	2	:	:	PUNCT
brj-23067	484	3	10.3183	10.3183	NUM
brj-23067	484	4	/	/	SYM
brj-23067	484	5	npprj2008	npprj2008	NOUN
brj-23067	484	6	-	-	PUNCT
brj-23067	484	7	23	23	NUM
brj-23067	484	8	-	-	PUNCT
brj-23067	484	9	01	01	NUM
brj-23067	484	10	-	-	PUNCT
brj-23067	484	11	p129	p129	PROPN
brj-23067	484	12	-	-	PUNCT
brj-23067	484	13	138	138	NUM
brj-23067	484	14	karlström	karlström	NOUN
brj-23067	484	15	,	,	PUNCT
brj-23067	484	16	a.	a.	PROPN
brj-23067	484	17	,	,	PUNCT
brj-23067	484	18	hill	hill	PROPN
brj-23067	484	19	,	,	PUNCT
brj-23067	484	20	j.	j.	PROPN
brj-23067	484	21	,	,	PUNCT
brj-23067	484	22	and	and	CCONJ
brj-23067	484	23	johansson	johansson	PROPN
brj-23067	484	24	,	,	PUNCT
brj-23067	484	25	l.	l.	PROPN
brj-23067	484	26	(	(	PUNCT
brj-23067	484	27	2018a	2018a	NUM
brj-23067	484	28	)	)	PUNCT
brj-23067	484	29	.	.	PUNCT
brj-23067	485	1	“	"	PUNCT
brj-23067	485	2	an	an	DET
brj-23067	485	3	overview	overview	NOUN
brj-23067	485	4	of	of	ADP
brj-23067	485	5	some	some	DET
brj-23067	485	6	efforts	effort	NOUN
brj-23067	485	7	to	to	PART
brj-23067	485	8	understand	understand	VERB
brj-23067	485	9	cd	cd	NOUN
brj-23067	485	10	-	-	PUNCT
brj-23067	485	11	refiners	refiner	NOUN
brj-23067	485	12	,	,	PUNCT
brj-23067	485	13	”	"	PUNCT
brj-23067	485	14	in	in	ADP
brj-23067	485	15	:	:	PUNCT
brj-23067	485	16	int	int	NOUN
brj-23067	485	17	.	.	PUNCT
brj-23067	486	1	mechanical	mechanical	ADJ
brj-23067	486	2	pulping	pulp	VERB
brj-23067	486	3	con	con	NOUN
brj-23067	486	4	.	.	PROPN
brj-23067	486	5	,	,	PUNCT
brj-23067	486	6	trondheim	trondheim	PROPN
brj-23067	486	7	,	,	PUNCT
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brj-23067	486	9	.	.	PUNCT
brj-23067	487	1	karlström	karlström	PROPN
brj-23067	487	2	,	,	PUNCT
brj-23067	487	3	a.	a.	PROPN
brj-23067	487	4	,	,	PUNCT
brj-23067	487	5	hill	hill	PROPN
brj-23067	487	6	,	,	PUNCT
brj-23067	487	7	j.	j.	PROPN
brj-23067	487	8	,	,	PUNCT
brj-23067	487	9	and	and	CCONJ
brj-23067	487	10	johansson	johansson	PROPN
brj-23067	487	11	,	,	PUNCT
brj-23067	487	12	l.	l.	PROPN
brj-23067	487	13	(	(	PUNCT
brj-23067	487	14	2022	2022	NUM
brj-23067	487	15	)	)	PUNCT
brj-23067	487	16	.	.	PUNCT
brj-23067	488	1	“	"	PUNCT
brj-23067	488	2	data	data	NOUN
brj-23067	488	3	-	-	PUNCT
brj-23067	488	4	driven	drive	VERB
brj-23067	488	5	soft	soft	ADJ
brj-23067	488	6	sensors	sensor	NOUN
brj-23067	488	7	in	in	ADP
brj-23067	488	8	refining	refining	NOUN
brj-23067	488	9	processes	process	NOUN
brj-23067	488	10	–	–	PUNCT
brj-23067	488	11	pulp	pulp	NOUN
brj-23067	488	12	property	property	NOUN
brj-23067	488	13	estimation	estimation	NOUN
brj-23067	488	14	and	and	CCONJ
brj-23067	488	15	control	control	NOUN
brj-23067	488	16	,	,	PUNCT
brj-23067	488	17	”	"	PUNCT
brj-23067	488	18	in	in	ADP
brj-23067	488	19	:	:	PUNCT
brj-23067	488	20	international	international	ADJ
brj-23067	488	21	mechanical	mechanical	ADJ
brj-23067	488	22	pulping	pulp	VERB
brj-23067	488	23	conference	conference	NOUN
brj-23067	488	24	,	,	PUNCT
brj-23067	488	25	vancouver	vancouver	PROPN
brj-23067	488	26	,	,	PUNCT
brj-23067	488	27	bc	bc	PROPN
brj-23067	488	28	,	,	PUNCT
brj-23067	488	29	canada	canada	PROPN
brj-23067	488	30	,	,	PUNCT
brj-23067	488	31	pp	pp	PROPN
brj-23067	488	32	.	.	PUNCT
brj-23067	489	1	79	79	NUM
brj-23067	489	2	-	-	SYM
brj-23067	489	3	91	91	NUM
brj-23067	489	4	.	.	PUNCT
brj-23067	490	1	karlström	karlström	NOUN
brj-23067	490	2	,	,	PUNCT
brj-23067	490	3	a.	a.	PROPN
brj-23067	490	4	,	,	PUNCT
brj-23067	490	5	hill	hill	PROPN
brj-23067	490	6	,	,	PUNCT
brj-23067	490	7	j.	j.	PROPN
brj-23067	490	8	,	,	PUNCT
brj-23067	490	9	ferritsius	ferritsius	PROPN
brj-23067	490	10	,	,	PUNCT
brj-23067	490	11	r.	r.	PROPN
brj-23067	490	12	,	,	PUNCT
brj-23067	490	13	and	and	CCONJ
brj-23067	490	14	ferritsius	ferritsius	ADJ
brj-23067	490	15	,	,	PUNCT
brj-23067	490	16	o.	o.	INTJ
brj-23067	490	17	(	(	PUNCT
brj-23067	490	18	2015b	2015b	NUM
brj-23067	490	19	)	)	PUNCT
brj-23067	490	20	.	.	PUNCT
brj-23067	491	1	“	"	PUNCT
brj-23067	491	2	pulp	pulp	NOUN
brj-23067	491	3	property	property	NOUN
brj-23067	491	4	development	development	NOUN
brj-23067	491	5	part	part	NOUN
brj-23067	492	1	i	i	PRON
brj-23067	492	2	:	:	PUNCT
brj-23067	492	3	interlacing	interlace	VERB
brj-23067	492	4	undersampled	undersampled	ADJ
brj-23067	492	5	pulp	pulp	NOUN
brj-23067	492	6	properties	property	NOUN
brj-23067	492	7	and	and	CCONJ
brj-23067	492	8	tmp	tmp	NOUN
brj-23067	492	9	process	process	NOUN
brj-23067	492	10	data	datum	NOUN
brj-23067	492	11	using	use	VERB
brj-23067	492	12	piece	piece	NOUN
brj-23067	492	13	-	-	PUNCT
brj-23067	492	14	wise	wise	ADJ
brj-23067	492	15	linear	linear	NOUN
brj-23067	492	16	functions	function	NOUN
brj-23067	492	17	,	,	PUNCT
brj-23067	492	18	”	"	PUNCT
brj-23067	492	19	nord	nord	PROPN
brj-23067	492	20	.	.	PUNCT
brj-23067	492	21	pulp	pulp	NOUN
brj-23067	492	22	paper	paper	NOUN
brj-23067	492	23	res	re	NOUN
brj-23067	492	24	.	.	PUNCT
brj-23067	493	1	j.	j.	PROPN
brj-23067	493	2	30(4	30(4	PROPN
brj-23067	493	3	)	)	PUNCT
brj-23067	493	4	,	,	PUNCT
brj-23067	493	5	599	599	NUM
brj-23067	493	6	-	-	SYM
brj-23067	493	7	608	608	NUM
brj-23067	493	8	.	.	PUNCT
brj-23067	494	1	doi	doi	NOUN
brj-23067	494	2	:	:	PUNCT
brj-23067	494	3	10.3183	10.3183	NUM
brj-23067	494	4	/	/	SYM
brj-23067	494	5	npprj-2015	npprj-2015	PROPN
brj-23067	494	6	-	-	PUNCT
brj-23067	494	7	30	30	NUM
brj-23067	494	8	-	-	PUNCT
brj-23067	494	9	04	04	NUM
brj-23067	494	10	-	-	PUNCT
brj-23067	494	11	p599	p599	VERB
brj-23067	494	12	-	-	PUNCT
brj-23067	494	13	608	608	NUM
brj-23067	494	14	karlström	karlström	NOUN
brj-23067	494	15	,	,	PUNCT
brj-23067	494	16	a.	a.	PROPN
brj-23067	494	17	,	,	PUNCT
brj-23067	494	18	hill	hill	PROPN
brj-23067	494	19	,	,	PUNCT
brj-23067	494	20	j.	j.	PROPN
brj-23067	494	21	,	,	PUNCT
brj-23067	494	22	ferritsius	ferritsius	PROPN
brj-23067	494	23	,	,	PUNCT
brj-23067	494	24	r.	r.	PROPN
brj-23067	494	25	,	,	PUNCT
brj-23067	494	26	and	and	CCONJ
brj-23067	494	27	ferritsius	ferritsius	ADJ
brj-23067	494	28	,	,	PUNCT
brj-23067	494	29	o.	o.	INTJ
brj-23067	494	30	(	(	PUNCT
brj-23067	494	31	2016a	2016a	NUM
brj-23067	494	32	)	)	PUNCT
brj-23067	494	33	.	.	PUNCT
brj-23067	495	1	“	"	PUNCT
brj-23067	495	2	pulp	pulp	NOUN
brj-23067	495	3	property	property	NOUN
brj-23067	495	4	development	development	PROPN
brj-23067	495	5	part	part	PROPN
brj-23067	495	6	ii	ii	PROPN
brj-23067	495	7	:	:	PUNCT
brj-23067	495	8	process	process	NOUN
brj-23067	495	9	nonlinearities	nonlinearitie	NOUN
brj-23067	495	10	and	and	CCONJ
brj-23067	495	11	its	its	PRON
brj-23067	495	12	influence	influence	NOUN
brj-23067	495	13	on	on	ADP
brj-23067	495	14	pulp	pulp	NOUN
brj-23067	495	15	property	property	NOUN
brj-23067	495	16	development	development	NOUN
brj-23067	495	17	,	,	PUNCT
brj-23067	495	18	”	"	PUNCT
brj-23067	495	19	nord	nord	PROPN
brj-23067	495	20	.	.	PUNCT
brj-23067	495	21	pulp	pulp	NOUN
brj-23067	495	22	paper	paper	NOUN
brj-23067	495	23	res	re	NOUN
brj-23067	495	24	.	.	PUNCT
brj-23067	496	1	j.	j.	PROPN
brj-23067	496	2	31(2	31(2	PROPN
brj-23067	496	3	)	)	PUNCT
brj-23067	496	4	,	,	PUNCT
brj-23067	496	5	287	287	NUM
brj-23067	496	6	-	-	SYM
brj-23067	496	7	299	299	NUM
brj-23067	496	8	.	.	PUNCT
brj-23067	497	1	doi	doi	NOUN
brj-23067	497	2	:	:	PUNCT
brj-23067	497	3	10.3183	10.3183	NUM
brj-23067	497	4	/	/	SYM
brj-23067	497	5	npprj-201631	npprj-201631	NOUN
brj-23067	497	6	-	-	PUNCT
brj-23067	497	7	02	02	NUM
brj-23067	497	8	-	-	PUNCT
brj-23067	497	9	p287	p287	NUM
brj-23067	497	10	-	-	PUNCT
brj-23067	497	11	299	299	NUM
brj-23067	497	12	karlström	karlström	NOUN
brj-23067	497	13	,	,	PUNCT
brj-23067	497	14	a.	a.	PROPN
brj-23067	497	15	,	,	PUNCT
brj-23067	497	16	hill	hill	PROPN
brj-23067	497	17	,	,	PUNCT
brj-23067	497	18	j.	j.	PROPN
brj-23067	497	19	,	,	PUNCT
brj-23067	497	20	ferritsius	ferritsius	PROPN
brj-23067	497	21	,	,	PUNCT
brj-23067	497	22	r.	r.	PROPN
brj-23067	497	23	,	,	PUNCT
brj-23067	497	24	and	and	CCONJ
brj-23067	497	25	ferritsius	ferritsius	ADJ
brj-23067	497	26	,	,	PUNCT
brj-23067	497	27	o.	o.	INTJ
brj-23067	497	28	(	(	PUNCT
brj-23067	497	29	2016b	2016b	NUM
brj-23067	497	30	)	)	PUNCT
brj-23067	497	31	.	.	PUNCT
brj-23067	498	1	“	"	PUNCT
brj-23067	498	2	pulp	pulp	NOUN
brj-23067	498	3	property	property	NOUN
brj-23067	498	4	development	development	NOUN
brj-23067	498	5	.	.	PUNCT
brj-23067	499	1	part	part	NOUN
brj-23067	499	2	iii	iii	PROPN
brj-23067	499	3	:	:	PUNCT
brj-23067	499	4	fiber	fiber	NOUN
brj-23067	499	5	residence	residence	NOUN
brj-23067	499	6	time	time	NOUN
brj-23067	499	7	and	and	CCONJ
brj-23067	499	8	consistency	consistency	NOUN
brj-23067	499	9	profile	profile	NOUN
brj-23067	499	10	impact	impact	NOUN
brj-23067	499	11	on	on	ADP
brj-23067	499	12	specific	specific	ADJ
brj-23067	499	13	energy	energy	NOUN
brj-23067	499	14	and	and	CCONJ
brj-23067	499	15	pulp	pulp	NOUN
brj-23067	499	16	properties	property	NOUN
brj-23067	499	17	,	,	PUNCT
brj-23067	499	18	”	"	PUNCT
brj-23067	499	19	nord	nord	PROPN
brj-23067	499	20	.	.	PUNCT
brj-23067	499	21	pulp	pulp	NOUN
brj-23067	499	22	paper	paper	NOUN
brj-23067	499	23	res	re	NOUN
brj-23067	499	24	.	.	PUNCT
brj-23067	500	1	j.	j.	PROPN
brj-23067	500	2	31(2	31(2	PROPN
brj-23067	500	3	)	)	PUNCT
brj-23067	500	4	,	,	PUNCT
brj-23067	500	5	300	300	NUM
brj-23067	500	6	-	-	SYM
brj-23067	500	7	307	307	NUM
brj-23067	500	8	.	.	PUNCT
brj-23067	501	1	doi	doi	NOUN
brj-23067	501	2	:	:	PUNCT
brj-23067	501	3	10.3183	10.3183	NUM
brj-23067	501	4	/	/	SYM
brj-23067	501	5	npprj-2016	npprj-2016	PROPN
brj-23067	501	6	-	-	PUNCT
brj-23067	501	7	31	31	NUM
brj-23067	501	8	-	-	PUNCT
brj-23067	501	9	02	02	NUM
brj-23067	501	10	-	-	PUNCT
brj-23067	501	11	p300	p300	NUM
brj-23067	501	12	-	-	PUNCT
brj-23067	501	13	307	307	NUM
brj-23067	501	14	peer	peer	NOUN
brj-23067	501	15	-	-	PUNCT
brj-23067	501	16	reviewed	review	VERB
brj-23067	501	17	article	article	NOUN
brj-23067	501	18	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	501	19	karlström	karlström	PROPN
brj-23067	501	20	et	et	PROPN
brj-23067	501	21	al	al	PROPN
brj-23067	501	22	.	.	PROPN
brj-23067	502	1	(	(	PUNCT
brj-23067	502	2	2024	2024	NUM
brj-23067	502	3	)	)	PUNCT
brj-23067	502	4	.	.	PUNCT
brj-23067	503	1	“	"	PUNCT
brj-23067	503	2	soft	soft	ADJ
brj-23067	503	3	sensors	sensor	NOUN
brj-23067	503	4	in	in	ADP
brj-23067	503	5	refining	refining	NOUN
brj-23067	503	6	,	,	PUNCT
brj-23067	503	7	”	"	PUNCT
brj-23067	503	8	bioresources	bioresource	NOUN
brj-23067	503	9	19(1	19(1	NUM
brj-23067	503	10	)	)	PUNCT
brj-23067	503	11	,	,	PUNCT
brj-23067	503	12	1030	1030	NUM
brj-23067	503	13	-	-	SYM
brj-23067	503	14	1057	1057	NUM
brj-23067	503	15	.	.	PUNCT
brj-23067	504	1	1054	1054	NUM
brj-23067	504	2	kermani	kermani	NOUN
brj-23067	504	3	,	,	PUNCT
brj-23067	504	4	b.	b.	PROPN
brj-23067	504	5	g.	g.	PROPN
brj-23067	504	6	,	,	PUNCT
brj-23067	504	7	schiffman	schiffman	NOUN
brj-23067	504	8	,	,	PUNCT
brj-23067	504	9	s.	s.	PROPN
brj-23067	504	10	s.	s.	PROPN
brj-23067	504	11	,	,	PUNCT
brj-23067	504	12	and	and	CCONJ
brj-23067	504	13	nagle	nagle	PROPN
brj-23067	504	14	,	,	PUNCT
brj-23067	504	15	h.	h.	PROPN
brj-23067	504	16	g.	g.	PROPN
brj-23067	504	17	(	(	PUNCT
brj-23067	504	18	2005	2005	NUM
brj-23067	504	19	)	)	PUNCT
brj-23067	504	20	.	.	PUNCT
brj-23067	505	1	“	"	PUNCT
brj-23067	505	2	performance	performance	NOUN
brj-23067	505	3	of	of	ADP
brj-23067	505	4	the	the	DET
brj-23067	505	5	levenberg	levenberg	PROPN
brj-23067	505	6	–	–	PUNCT
brj-23067	505	7	marquardt	marquardt	PROPN
brj-23067	505	8	neural	neural	ADJ
brj-23067	505	9	network	network	NOUN
brj-23067	505	10	training	training	NOUN
brj-23067	505	11	method	method	NOUN
brj-23067	505	12	in	in	ADP
brj-23067	505	13	electronic	electronic	ADJ
brj-23067	505	14	nose	nose	NOUN
brj-23067	505	15	applications	application	NOUN
brj-23067	505	16	,	,	PUNCT
brj-23067	505	17	”	"	PUNCT
brj-23067	505	18	science	science	NOUN
brj-23067	505	19	direct	direct	ADJ
brj-23067	505	20	,	,	PUNCT
brj-23067	505	21	sensors	sensor	NOUN
brj-23067	505	22	and	and	CCONJ
brj-23067	505	23	actuators	actuator	NOUN
brj-23067	505	24	b	b	X
brj-23067	505	25	:	:	PUNCT
brj-23067	505	26	chemical	chemical	NOUN
brj-23067	505	27	110(1	110(1	NUM
brj-23067	505	28	)	)	PUNCT
brj-23067	505	29	,	,	PUNCT
brj-23067	505	30	13	13	NUM
brj-23067	505	31	-	-	SYM
brj-23067	505	32	22	22	NUM
brj-23067	505	33	.	.	PUNCT
brj-23067	506	1	doi	doi	NOUN
brj-23067	506	2	:	:	PUNCT
brj-23067	506	3	10.1016	10.1016	NUM
brj-23067	506	4	/	/	SYM
brj-23067	506	5	j.snb.2005.01.008	j.snb.2005.01.008	PROPN
brj-23067	506	6	levenberg	levenberg	PROPN
brj-23067	506	7	,	,	PUNCT
brj-23067	506	8	k.	k.	PROPN
brj-23067	506	9	(	(	PUNCT
brj-23067	506	10	1944	1944	NUM
brj-23067	506	11	)	)	PUNCT
brj-23067	506	12	.	.	PUNCT
brj-23067	507	1	“	"	PUNCT
brj-23067	507	2	a	a	DET
brj-23067	507	3	method	method	NOUN
brj-23067	507	4	for	for	ADP
brj-23067	507	5	the	the	DET
brj-23067	507	6	solution	solution	NOUN
brj-23067	507	7	of	of	ADP
brj-23067	507	8	certain	certain	ADJ
brj-23067	507	9	non	non	ADJ
brj-23067	507	10	-	-	ADJ
brj-23067	507	11	linear	linear	ADJ
brj-23067	507	12	problems	problem	NOUN
brj-23067	507	13	in	in	ADP
brj-23067	507	14	least	least	ADJ
brj-23067	507	15	squares	square	NOUN
brj-23067	507	16	,	,	PUNCT
brj-23067	507	17	”	"	PUNCT
brj-23067	507	18	the	the	DET
brj-23067	507	19	quarterly	quarterly	NOUN
brj-23067	507	20	of	of	ADP
brj-23067	507	21	applied	apply	VERB
brj-23067	507	22	mathematics	mathematic	NOUN
brj-23067	507	23	2(2	2(2	NUM
brj-23067	507	24	)	)	PUNCT
brj-23067	507	25	,	,	PUNCT
brj-23067	507	26	164	164	NUM
brj-23067	507	27	-	-	SYM
brj-23067	507	28	168	168	NUM
brj-23067	507	29	.	.	PUNCT
brj-23067	508	1	ljung	ljung	PROPN
brj-23067	508	2	,	,	PUNCT
brj-23067	508	3	l.	l.	PROPN
brj-23067	508	4	(	(	PUNCT
brj-23067	508	5	1999	1999	NUM
brj-23067	508	6	)	)	PUNCT
brj-23067	508	7	.	.	PUNCT
brj-23067	509	1	system	system	NOUN
brj-23067	509	2	identification	identification	NOUN
brj-23067	509	3	:	:	PUNCT
brj-23067	509	4	theory	theory	NOUN
brj-23067	509	5	for	for	ADP
brj-23067	509	6	the	the	DET
brj-23067	509	7	user	user	NOUN
brj-23067	509	8	,	,	PUNCT
brj-23067	509	9	2nd	2nd	PROPN
brj-23067	509	10	edition	edition	NOUN
brj-23067	509	11	,	,	PUNCT
brj-23067	509	12	prentice	prentice	NOUN
brj-23067	509	13	hall	hall	PROPN
brj-23067	509	14	,	,	PUNCT
brj-23067	509	15	hoboken	hoboken	PROPN
brj-23067	509	16	,	,	PUNCT
brj-23067	509	17	nj	nj	PROPN
brj-23067	509	18	,	,	PUNCT
brj-23067	509	19	usa	usa	PROPN
brj-23067	509	20	.	.	PROPN
brj-23067	509	21	marquardt	marquardt	PROPN
brj-23067	509	22	,	,	PUNCT
brj-23067	509	23	d.	d.	PROPN
brj-23067	509	24	w.	w.	PROPN
brj-23067	509	25	(	(	PUNCT
brj-23067	509	26	1963	1963	NUM
brj-23067	509	27	)	)	PUNCT
brj-23067	509	28	.	.	PUNCT
brj-23067	510	1	“	"	PUNCT
brj-23067	510	2	an	an	DET
brj-23067	510	3	algorithm	algorithm	NOUN
brj-23067	510	4	for	for	ADP
brj-23067	510	5	least	least	ADJ
brj-23067	510	6	-	-	PUNCT
brj-23067	510	7	squares	square	NOUN
brj-23067	510	8	estimation	estimation	NOUN
brj-23067	510	9	of	of	ADP
brj-23067	510	10	nonlinear	nonlinear	ADJ
brj-23067	510	11	parameters	parameter	NOUN
brj-23067	510	12	,	,	PUNCT
brj-23067	510	13	”	"	PUNCT
brj-23067	510	14	journal	journal	NOUN
brj-23067	510	15	of	of	ADP
brj-23067	510	16	the	the	DET
brj-23067	510	17	society	society	NOUN
brj-23067	510	18	for	for	ADP
brj-23067	510	19	industrial	industrial	ADJ
brj-23067	510	20	and	and	CCONJ
brj-23067	510	21	applied	apply	VERB
brj-23067	510	22	mathematics	mathematic	NOUN
brj-23067	510	23	11(2	11(2	NUM
brj-23067	510	24	)	)	PUNCT
brj-23067	510	25	,	,	PUNCT
brj-23067	510	26	431	431	NUM
brj-23067	510	27	-	-	SYM
brj-23067	510	28	441	441	NUM
brj-23067	510	29	.	.	PUNCT
brj-23067	511	1	doi	doi	NOUN
brj-23067	511	2	:	:	PUNCT
brj-23067	511	3	10.1137/0111030	10.1137/0111030	NUM
brj-23067	511	4	miles	mile	NOUN
brj-23067	511	5	,	,	PUNCT
brj-23067	511	6	k.	k.	PROPN
brj-23067	511	7	b.	b.	PROPN
brj-23067	511	8	,	,	PUNCT
brj-23067	511	9	and	and	CCONJ
brj-23067	511	10	may	may	AUX
brj-23067	511	11	,	,	PUNCT
brj-23067	511	12	w.	w.	PROPN
brj-23067	511	13	d.	d.	PROPN
brj-23067	511	14	(	(	PUNCT
brj-23067	511	15	1990	1990	NUM
brj-23067	511	16	)	)	PUNCT
brj-23067	511	17	.	.	PUNCT
brj-23067	512	1	“	"	PUNCT
brj-23067	512	2	the	the	DET
brj-23067	512	3	flow	flow	NOUN
brj-23067	512	4	of	of	ADP
brj-23067	512	5	pulp	pulp	NOUN
brj-23067	512	6	in	in	ADP
brj-23067	512	7	chip	chip	NOUN
brj-23067	512	8	refiners	refiner	NOUN
brj-23067	512	9	,	,	PUNCT
brj-23067	512	10	”	"	PUNCT
brj-23067	512	11	j.	j.	PROPN
brj-23067	512	12	pulp	pulp	PROPN
brj-23067	512	13	pap	pap	PROPN
brj-23067	512	14	.	.	PUNCT
brj-23067	513	1	sci	sci	PROPN
brj-23067	513	2	.	.	PROPN
brj-23067	513	3	16(2	16(2	NUM
brj-23067	513	4	)	)	PUNCT
brj-23067	513	5	,	,	PUNCT
brj-23067	513	6	63	63	NUM
brj-23067	513	7	-	-	SYM
brj-23067	513	8	72	72	NUM
brj-23067	513	9	.	.	PUNCT
brj-23067	514	1	miles	mile	NOUN
brj-23067	514	2	,	,	PUNCT
brj-23067	514	3	k.	k.	PROPN
brj-23067	514	4	b.	b.	PROPN
brj-23067	514	5	,	,	PUNCT
brj-23067	514	6	and	and	CCONJ
brj-23067	514	7	may	may	AUX
brj-23067	514	8	,	,	PUNCT
brj-23067	514	9	w.	w.	PROPN
brj-23067	514	10	d.	d.	PROPN
brj-23067	514	11	(	(	PUNCT
brj-23067	514	12	1991	1991	NUM
brj-23067	514	13	)	)	PUNCT
brj-23067	514	14	.	.	PUNCT
brj-23067	515	1	“	"	PUNCT
brj-23067	515	2	predicting	predict	VERB
brj-23067	515	3	the	the	DET
brj-23067	515	4	performance	performance	NOUN
brj-23067	515	5	of	of	ADP
brj-23067	515	6	a	a	DET
brj-23067	515	7	chip	chip	NOUN
brj-23067	515	8	refiner	refiner	NOUN
brj-23067	515	9	:	:	PUNCT
brj-23067	515	10	a	a	DET
brj-23067	515	11	constitutive	constitutive	ADJ
brj-23067	515	12	approach	approach	NOUN
brj-23067	515	13	,	,	PUNCT
brj-23067	515	14	”	"	PUNCT
brj-23067	515	15	in	in	ADP
brj-23067	515	16	:	:	PUNCT
brj-23067	515	17	international	international	ADJ
brj-23067	515	18	mechanical	mechanical	ADJ
brj-23067	515	19	pulping	pulp	VERB
brj-23067	515	20	conference	conference	NOUN
brj-23067	515	21	,	,	PUNCT
brj-23067	515	22	minneapolis	minneapolis	PROPN
brj-23067	515	23	,	,	PUNCT
brj-23067	515	24	mn	mn	PROPN
brj-23067	515	25	,	,	PUNCT
brj-23067	515	26	usa	usa	PROPN
brj-23067	515	27	,	,	PUNCT
brj-23067	515	28	pp	pp	PROPN
brj-23067	515	29	.	.	PUNCT
brj-23067	516	1	295	295	NUM
brj-23067	516	2	-	-	SYM
brj-23067	516	3	301	301	NUM
brj-23067	516	4	.	.	PUNCT
brj-23067	516	5	principe	principe	PROPN
brj-23067	516	6	,	,	PUNCT
brj-23067	516	7	j.	j.	PROPN
brj-23067	516	8	c.	c.	PROPN
brj-23067	516	9	,	,	PUNCT
brj-23067	516	10	euliano	euliano	PROPN
brj-23067	516	11	,	,	PUNCT
brj-23067	516	12	n.	n.	PROPN
brj-23067	516	13	r.	r.	PROPN
brj-23067	516	14	,	,	PUNCT
brj-23067	516	15	and	and	CCONJ
brj-23067	516	16	lefebvre	lefebvre	PROPN
brj-23067	516	17	,	,	PUNCT
brj-23067	516	18	w.	w.	PROPN
brj-23067	516	19	c.	c.	PROPN
brj-23067	516	20	(	(	PUNCT
brj-23067	516	21	2000	2000	NUM
brj-23067	516	22	)	)	PUNCT
brj-23067	516	23	.	.	PUNCT
brj-23067	517	1	neural	neural	ADJ
brj-23067	517	2	and	and	CCONJ
brj-23067	517	3	adaptive	adaptive	ADJ
brj-23067	517	4	systems	system	NOUN
brj-23067	517	5	,	,	PUNCT
brj-23067	517	6	wiley	wiley	NOUN
brj-23067	517	7	,	,	PUNCT
brj-23067	517	8	new	new	PROPN
brj-23067	517	9	york	york	PROPN
brj-23067	517	10	,	,	PUNCT
brj-23067	517	11	ny	ny	PROPN
brj-23067	517	12	,	,	PUNCT
brj-23067	517	13	usa	usa	PROPN
brj-23067	517	14	.	.	PROPN
brj-23067	517	15	rajesh	rajesh	PROPN
brj-23067	517	16	,	,	PUNCT
brj-23067	517	17	k.	k.	PROPN
brj-23067	517	18	,	,	PUNCT
brj-23067	517	19	and	and	CCONJ
brj-23067	517	20	ray	ray	NOUN
brj-23067	517	21	,	,	PUNCT
brj-23067	517	22	a.	a.	PROPN
brj-23067	517	23	k.	k.	PROPN
brj-23067	517	24	(	(	PUNCT
brj-23067	517	25	2006	2006	NUM
brj-23067	517	26	)	)	PUNCT
brj-23067	517	27	.	.	PUNCT
brj-23067	518	1	“	"	PUNCT
brj-23067	518	2	artificial	artificial	ADJ
brj-23067	518	3	neural	neural	ADJ
brj-23067	518	4	network	network	NOUN
brj-23067	518	5	for	for	ADP
brj-23067	518	6	solving	solve	VERB
brj-23067	518	7	paper	paper	NOUN
brj-23067	518	8	industry	industry	NOUN
brj-23067	518	9	problems	problem	NOUN
brj-23067	518	10	:	:	PUNCT
brj-23067	518	11	a	a	DET
brj-23067	518	12	review	review	NOUN
brj-23067	518	13	,	,	PUNCT
brj-23067	518	14	”	"	PUNCT
brj-23067	518	15	journal	journal	NOUN
brj-23067	518	16	of	of	ADP
brj-23067	518	17	science	science	PROPN
brj-23067	518	18	&	&	CCONJ
brj-23067	518	19	research	research	PROPN
brj-23067	518	20	65(7	65(7	NUM
brj-23067	518	21	)	)	PUNCT
brj-23067	518	22	,	,	PUNCT
brj-23067	518	23	565	565	NUM
brj-23067	518	24	-	-	SYM
brj-23067	518	25	573	573	NUM
brj-23067	518	26	.	.	PUNCT
brj-23067	519	1	sund	sund	PROPN
brj-23067	519	2	,	,	PUNCT
brj-23067	519	3	j.	j.	PROPN
brj-23067	519	4	,	,	PUNCT
brj-23067	519	5	sandberg	sandberg	PROPN
brj-23067	519	6	,	,	PUNCT
brj-23067	519	7	c.	c.	PROPN
brj-23067	519	8	,	,	PUNCT
brj-23067	519	9	karlström	karlström	NOUN
brj-23067	519	10	,	,	PUNCT
brj-23067	519	11	a.	a.	NOUN
brj-23067	519	12	,	,	PUNCT
brj-23067	519	13	thungström	thungström	NOUN
brj-23067	519	14	,	,	PUNCT
brj-23067	519	15	g.	g.	PROPN
brj-23067	519	16	,	,	PUNCT
brj-23067	519	17	and	and	CCONJ
brj-23067	519	18	engstrand	engstrand	ADV
brj-23067	519	19	,	,	PUNCT
brj-23067	519	20	p.	p.	NOUN
brj-23067	519	21	(	(	PUNCT
brj-23067	519	22	2021	2021	NUM
brj-23067	519	23	)	)	PUNCT
brj-23067	519	24	.	.	PUNCT
brj-23067	520	1	“	"	PUNCT
brj-23067	520	2	the	the	DET
brj-23067	520	3	effect	effect	NOUN
brj-23067	520	4	of	of	ADP
brj-23067	520	5	process	process	NOUN
brj-23067	520	6	design	design	NOUN
brj-23067	520	7	on	on	ADP
brj-23067	520	8	refiner	refiner	NOUN
brj-23067	520	9	pulp	pulp	NOUN
brj-23067	520	10	quality	quality	NOUN
brj-23067	520	11	control	control	NOUN
brj-23067	520	12	performance	performance	NOUN
brj-23067	520	13	,	,	PUNCT
brj-23067	520	14	”	"	PUNCT
brj-23067	520	15	nord	nord	PROPN
brj-23067	520	16	.	.	PUNCT
brj-23067	520	17	pulp	pulp	NOUN
brj-23067	520	18	pap	pap	PROPN
brj-23067	520	19	.	.	PUNCT
brj-23067	521	1	res	re	NOUN
brj-23067	521	2	.	.	PUNCT
brj-23067	522	1	j.	j.	PROPN
brj-23067	522	2	36(4	36(4	PROPN
brj-23067	522	3	)	)	PUNCT
brj-23067	522	4	,	,	PUNCT
brj-23067	522	5	594	594	NUM
brj-23067	522	6	-	-	SYM
brj-23067	522	7	607	607	NUM
brj-23067	522	8	.	.	PUNCT
brj-23067	523	1	doi	doi	NOUN
brj-23067	523	2	:	:	PUNCT
brj-23067	523	3	10.1515	10.1515	NUM
brj-23067	523	4	/	/	SYM
brj-23067	523	5	npprj-2021	npprj-2021	NOUN
brj-23067	523	6	-	-	PUNCT
brj-23067	523	7	0011	0011	NUM
brj-23067	523	8	wold	wold	X
brj-23067	523	9	,	,	PUNCT
brj-23067	523	10	s.	s.	PROPN
brj-23067	523	11	,	,	PUNCT
brj-23067	523	12	sjöström	sjöström	NOUN
brj-23067	523	13	,	,	PUNCT
brj-23067	523	14	m.	m.	NOUN
brj-23067	523	15	,	,	PUNCT
brj-23067	523	16	and	and	CCONJ
brj-23067	523	17	eriksson	eriksson	PROPN
brj-23067	523	18	,	,	PUNCT
brj-23067	523	19	l.	l.	PROPN
brj-23067	523	20	(	(	PUNCT
brj-23067	523	21	2001	2001	NUM
brj-23067	523	22	)	)	PUNCT
brj-23067	523	23	.	.	PUNCT
brj-23067	524	1	“	"	PUNCT
brj-23067	524	2	pls	pls	INTJ
brj-23067	524	3	-	-	PUNCT
brj-23067	524	4	regression	regression	NOUN
brj-23067	524	5	:	:	PUNCT
brj-23067	524	6	a	a	DET
brj-23067	524	7	basic	basic	ADJ
brj-23067	524	8	tool	tool	NOUN
brj-23067	524	9	of	of	ADP
brj-23067	524	10	chemometrics	chemometric	NOUN
brj-23067	524	11	,	,	PUNCT
brj-23067	524	12	”	"	PUNCT
brj-23067	524	13	chemometr	chemometr	NOUN
brj-23067	524	14	.	.	PUNCT
brj-23067	525	1	intell	intell	PROPN
brj-23067	525	2	.	.	PUNCT
brj-23067	526	1	lab	lab	PROPN
brj-23067	526	2	.	.	PUNCT
brj-23067	526	3	syst	syst	PROPN
brj-23067	526	4	.	.	PUNCT
brj-23067	527	1	58(2	58(2	NUM
brj-23067	527	2	)	)	PUNCT
brj-23067	527	3	,	,	PUNCT
brj-23067	527	4	109	109	NUM
brj-23067	527	5	-	-	SYM
brj-23067	527	6	130	130	NUM
brj-23067	527	7	.	.	PUNCT
brj-23067	528	1	doi	doi	NOUN
brj-23067	528	2	:	:	PUNCT
brj-23067	528	3	10.1016	10.1016	NUM
brj-23067	528	4	/	/	SYM
brj-23067	528	5	s01697439(01)00155	s01697439(01)00155	PROPN
brj-23067	528	6	-	-	PUNCT
brj-23067	528	7	1	1	NUM
brj-23067	528	8	article	article	NOUN
brj-23067	528	9	submitted	submit	VERB
brj-23067	528	10	:	:	PUNCT
brj-23067	528	11	october	october	PROPN
brj-23067	528	12	20	20	NUM
brj-23067	528	13	,	,	PUNCT
brj-23067	528	14	2023	2023	NUM
brj-23067	528	15	;	;	PUNCT
brj-23067	528	16	peer	peer	NOUN
brj-23067	528	17	review	review	NOUN
brj-23067	528	18	completed	complete	VERB
brj-23067	528	19	:	:	PUNCT
brj-23067	528	20	november	november	PROPN
brj-23067	528	21	27	27	NUM
brj-23067	528	22	,	,	PUNCT
brj-23067	528	23	2023	2023	NUM
brj-23067	528	24	;	;	PUNCT
brj-23067	529	1	revised	revise	VERB
brj-23067	529	2	version	version	NOUN
brj-23067	529	3	received	receive	VERB
brj-23067	529	4	and	and	CCONJ
brj-23067	529	5	accepted	accept	VERB
brj-23067	529	6	:	:	PUNCT
brj-23067	529	7	december	december	PROPN
brj-23067	529	8	5	5	NUM
brj-23067	529	9	,	,	PUNCT
brj-23067	529	10	2023	2023	NUM
brj-23067	529	11	;	;	PUNCT
brj-23067	529	12	published	publish	VERB
brj-23067	529	13	:	:	PUNCT
brj-23067	529	14	december	december	PROPN
brj-23067	529	15	15	15	NUM
brj-23067	529	16	,	,	PUNCT
brj-23067	529	17	2023	2023	NUM
brj-23067	529	18	.	.	PUNCT
brj-23067	530	1	doi	doi	NOUN
brj-23067	530	2	:	:	PUNCT
brj-23067	530	3	10.15376	10.15376	NUM
brj-23067	530	4	/	/	SYM
brj-23067	530	5	biores.19.1.1030	biores.19.1.1030	PROPN
brj-23067	530	6	-	-	PUNCT
brj-23067	530	7	1057	1057	NUM
brj-23067	530	8	peer	peer	NOUN
brj-23067	530	9	-	-	PUNCT
brj-23067	530	10	reviewed	review	VERB
brj-23067	530	11	article	article	NOUN
brj-23067	530	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	530	13	karlström	karlström	PROPN
brj-23067	530	14	et	et	PROPN
brj-23067	530	15	al	al	PROPN
brj-23067	530	16	.	.	PROPN
brj-23067	530	17	(	(	PUNCT
brj-23067	530	18	2024	2024	NUM
brj-23067	530	19	)	)	PUNCT
brj-23067	530	20	.	.	PUNCT
brj-23067	531	1	“	"	PUNCT
brj-23067	531	2	soft	soft	ADJ
brj-23067	531	3	sensors	sensor	NOUN
brj-23067	531	4	in	in	ADP
brj-23067	531	5	refining	refining	NOUN
brj-23067	531	6	,	,	PUNCT
brj-23067	531	7	”	"	PUNCT
brj-23067	531	8	bioresources	bioresource	NOUN
brj-23067	531	9	19(1	19(1	NUM
brj-23067	531	10	)	)	PUNCT
brj-23067	531	11	,	,	PUNCT
brj-23067	531	12	1030	1030	NUM
brj-23067	531	13	-	-	SYM
brj-23067	531	14	1057	1057	NUM
brj-23067	531	15	.	.	PUNCT
brj-23067	532	1	1055	1055	NUM
brj-23067	532	2	appendix	appendix	VERB
brj-23067	532	3	a	a	PRON
brj-23067	532	4	in	in	ADP
brj-23067	532	5	fig	fig	NOUN
brj-23067	532	6	.	.	PUNCT
brj-23067	533	1	a1	a1	PROPN
brj-23067	533	2	,	,	PUNCT
brj-23067	533	3	the	the	DET
brj-23067	533	4	inputs	input	NOUN
brj-23067	533	5	for	for	ADP
brj-23067	533	6	case	case	NOUN
brj-23067	533	7	d	d	NOUN
brj-23067	533	8	in	in	ADP
brj-23067	533	9	table	table	NOUN
brj-23067	533	10	1	1	NUM
brj-23067	533	11	are	be	AUX
brj-23067	533	12	given	give	VERB
brj-23067	533	13	for	for	ADP
brj-23067	533	14	the	the	DET
brj-23067	533	15	entire	entire	ADJ
brj-23067	533	16	unfiltered	unfiltered	ADJ
brj-23067	533	17	time	time	NOUN
brj-23067	533	18	series	series	NOUN
brj-23067	533	19	.	.	PUNCT
brj-23067	534	1	as	as	SCONJ
brj-23067	534	2	seen	see	VERB
brj-23067	534	3	,	,	PUNCT
brj-23067	534	4	the	the	DET
brj-23067	534	5	changes	change	NOUN
brj-23067	534	6	in	in	ADP
brj-23067	534	7	the	the	DET
brj-23067	534	8	process	process	NOUN
brj-23067	534	9	values	value	NOUN
brj-23067	534	10	seem	seem	VERB
brj-23067	534	11	to	to	PART
brj-23067	534	12	be	be	AUX
brj-23067	534	13	large	large	ADJ
brj-23067	534	14	enough	enough	ADV
brj-23067	534	15	for	for	ADP
brj-23067	534	16	modeling	model	VERB
brj-23067	534	17	purposes	purpose	NOUN
brj-23067	534	18	.	.	PUNCT
brj-23067	535	1	an	an	DET
brj-23067	535	2	interesting	interesting	ADJ
brj-23067	535	3	observation	observation	NOUN
brj-23067	535	4	in	in	ADP
brj-23067	535	5	fig	fig	NOUN
brj-23067	535	6	.	.	PUNCT
brj-23067	536	1	a2	a2	PROPN
brj-23067	536	2	,	,	PUNCT
brj-23067	536	3	however	however	ADV
brj-23067	536	4	,	,	PUNCT
brj-23067	536	5	is	be	AUX
brj-23067	536	6	that	that	SCONJ
brj-23067	536	7	the	the	DET
brj-23067	536	8	plate	plate	NOUN
brj-23067	536	9	gaps	gap	VERB
brj-23067	536	10	in	in	ADP
brj-23067	536	11	fz	fz	NOUN
brj-23067	536	12	and	and	CCONJ
brj-23067	536	13	cd	cd	PROPN
brj-23067	536	14	are	be	AUX
brj-23067	536	15	noisy	noisy	ADJ
brj-23067	536	16	and	and	CCONJ
brj-23067	536	17	not	not	PART
brj-23067	536	18	profoundly	profoundly	ADV
brj-23067	536	19	changed	change	VERB
brj-23067	536	20	during	during	ADP
brj-23067	536	21	the	the	DET
brj-23067	536	22	entire	entire	ADJ
brj-23067	536	23	time	time	NOUN
brj-23067	536	24	series	series	NOUN
brj-23067	536	25	.	.	PUNCT
brj-23067	537	1	in	in	ADP
brj-23067	537	2	fig	fig	PROPN
brj-23067	537	3	.	.	PUNCT
brj-23067	538	1	a3	a3	PROPN
brj-23067	538	2	,	,	PUNCT
brj-23067	538	3	some	some	DET
brj-23067	538	4	additional	additional	ADJ
brj-23067	538	5	internal	internal	ADJ
brj-23067	538	6	variables	variable	NOUN
brj-23067	538	7	,	,	PUNCT
brj-23067	538	8	obtained	obtain	VERB
brj-23067	538	9	from	from	ADP
brj-23067	538	10	the	the	DET
brj-23067	538	11	model	model	NOUN
brj-23067	538	12	-	-	PUNCT
brj-23067	538	13	driven	drive	VERB
brj-23067	538	14	sensor	sensor	NOUN
brj-23067	538	15	,	,	PUNCT
brj-23067	538	16	are	be	AUX
brj-23067	538	17	given	give	VERB
brj-23067	538	18	.	.	PUNCT
brj-23067	539	1	fig	fig	NOUN
brj-23067	539	2	.	.	PUNCT
brj-23067	540	1	a1	a1	PROPN
brj-23067	540	2	.	.	PUNCT
brj-23067	541	1	unfiltered	unfiltered	ADJ
brj-23067	541	2	time	time	NOUN
brj-23067	541	3	series	series	NOUN
brj-23067	541	4	for	for	ADP
brj-23067	541	5	the	the	DET
brj-23067	541	6	ann	ann	PROPN
brj-23067	541	7	-	-	PUNCT
brj-23067	541	8	inputs	input	NOUN
brj-23067	541	9	represented	represent	VERB
brj-23067	541	10	by	by	ADP
brj-23067	541	11	case	case	NOUN
brj-23067	541	12	d	d	NOUN
brj-23067	541	13	in	in	ADP
brj-23067	541	14	table	table	NOUN
brj-23067	541	15	1	1	NUM
brj-23067	541	16	peer	peer	NOUN
brj-23067	541	17	-	-	PUNCT
brj-23067	541	18	reviewed	review	VERB
brj-23067	541	19	article	article	NOUN
brj-23067	541	20	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	541	21	karlström	karlström	PROPN
brj-23067	541	22	et	et	PROPN
brj-23067	541	23	al	al	PROPN
brj-23067	541	24	.	.	PROPN
brj-23067	542	1	(	(	PUNCT
brj-23067	542	2	2024	2024	NUM
brj-23067	542	3	)	)	PUNCT
brj-23067	542	4	.	.	PUNCT
brj-23067	543	1	“	"	PUNCT
brj-23067	543	2	soft	soft	ADJ
brj-23067	543	3	sensors	sensor	NOUN
brj-23067	543	4	in	in	ADP
brj-23067	543	5	refining	refining	NOUN
brj-23067	543	6	,	,	PUNCT
brj-23067	543	7	”	"	PUNCT
brj-23067	543	8	bioresources	bioresource	NOUN
brj-23067	543	9	19(1	19(1	NUM
brj-23067	543	10	)	)	PUNCT
brj-23067	543	11	,	,	PUNCT
brj-23067	543	12	1030	1030	NUM
brj-23067	543	13	-	-	SYM
brj-23067	543	14	1057	1057	NUM
brj-23067	543	15	.	.	PUNCT
brj-23067	543	16	1056	1056	NUM
brj-23067	543	17	fig	fig	NOUN
brj-23067	543	18	.	.	PUNCT
brj-23067	544	1	a2	a2	PROPN
brj-23067	544	2	.	.	PUNCT
brj-23067	545	1	additional	additional	ADJ
brj-23067	545	2	unfiltered	unfiltered	ADJ
brj-23067	545	3	ann	ann	PROPN
brj-23067	545	4	-	-	PUNCT
brj-23067	545	5	inputs	input	NOUN
brj-23067	545	6	used	use	VERB
brj-23067	545	7	when	when	SCONJ
brj-23067	545	8	estimating	estimate	VERB
brj-23067	545	9	the	the	DET
brj-23067	545	10	pulp	pulp	NOUN
brj-23067	545	11	properties	property	NOUN
brj-23067	545	12	peer	peer	NOUN
brj-23067	545	13	-	-	PUNCT
brj-23067	545	14	reviewed	review	VERB
brj-23067	545	15	article	article	NOUN
brj-23067	545	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23067	545	17	karlström	karlström	PROPN
brj-23067	545	18	et	et	PROPN
brj-23067	545	19	al	al	PROPN
brj-23067	545	20	.	.	PROPN
brj-23067	546	1	(	(	PUNCT
brj-23067	546	2	2024	2024	NUM
brj-23067	546	3	)	)	PUNCT
brj-23067	546	4	.	.	PUNCT
brj-23067	547	1	“	"	PUNCT
brj-23067	547	2	soft	soft	ADJ
brj-23067	547	3	sensors	sensor	NOUN
brj-23067	547	4	in	in	ADP
brj-23067	547	5	refining	refining	NOUN
brj-23067	547	6	,	,	PUNCT
brj-23067	547	7	”	"	PUNCT
brj-23067	547	8	bioresources	bioresource	NOUN
brj-23067	547	9	19(1	19(1	NUM
brj-23067	547	10	)	)	PUNCT
brj-23067	547	11	,	,	PUNCT
brj-23067	547	12	1030	1030	NUM
brj-23067	547	13	-	-	SYM
brj-23067	547	14	1057	1057	NUM
brj-23067	547	15	.	.	PUNCT
brj-23067	547	16	1057	1057	NUM
brj-23067	547	17	fig	fig	NOUN
brj-23067	547	18	.	.	PUNCT
brj-23067	547	19	a3	a3	PROPN
brj-23067	547	20	.	.	PUNCT
brj-23067	548	1	additional	additional	ADJ
brj-23067	548	2	unfiltered	unfiltered	ADJ
brj-23067	548	3	internal	internal	ADJ
brj-23067	548	4	variables	variable	NOUN
brj-23067	548	5	used	use	VERB
brj-23067	548	6	as	as	ADP
brj-23067	548	7	inputs	input	NOUN
brj-23067	548	8	when	when	SCONJ
brj-23067	548	9	estimating	estimate	VERB
brj-23067	548	10	the	the	DET
brj-23067	548	11	pulp	pulp	NOUN
brj-23067	548	12	properties	property	NOUN