id	sid	tid	token	lemma	pos
brj-22443	1	1	peer	peer	NOUN
brj-22443	1	2	-	-	PUNCT
brj-22443	1	3	review	review	NOUN
brj-22443	1	4	article	article	NOUN
brj-22443	1	5	peer	peer	NOUN
brj-22443	1	6	-	-	PUNCT
brj-22443	1	7	reviewed	review	VERB
brj-22443	1	8	article	article	NOUN
brj-22443	1	9	bioresources.com	bioresources.com	X
brj-22443	1	10	karlström	karlström	NOUN
brj-22443	1	11	et	et	PROPN
brj-22443	1	12	al	al	PROPN
brj-22443	1	13	.	.	PROPN
brj-22443	1	14	(	(	PUNCT
brj-22443	1	15	2023	2023	NUM
brj-22443	1	16	)	)	PUNCT
brj-22443	1	17	.	.	PUNCT
brj-22443	2	1	“	"	PUNCT
brj-22443	2	2	soft	soft	ADJ
brj-22443	2	3	sensors	sensor	NOUN
brj-22443	2	4	in	in	ADP
brj-22443	2	5	refining	refining	NOUN
brj-22443	2	6	,	,	PUNCT
brj-22443	2	7	”	"	PUNCT
brj-22443	2	8	bioresources	bioresource	NOUN
brj-22443	2	9	18(4	18(4	NUM
brj-22443	2	10	)	)	PUNCT
brj-22443	2	11	,	,	PUNCT
brj-22443	2	12	8163	8163	NUM
brj-22443	2	13	-	-	SYM
brj-22443	2	14	8186	8186	NUM
brj-22443	2	15	.	.	PUNCT
brj-22443	3	1	8163	8163	NUM
brj-22443	3	2	data	data	NOUN
brj-22443	3	3	-	-	PUNCT
brj-22443	3	4	driven	drive	VERB
brj-22443	3	5	soft	soft	ADJ
brj-22443	3	6	sensors	sensor	NOUN
brj-22443	3	7	in	in	ADP
brj-22443	3	8	refining	refining	NOUN
brj-22443	3	9	processes	process	NOUN
brj-22443	3	10	–	–	PUNCT
brj-22443	3	11	pulp	pulp	NOUN
brj-22443	3	12	property	property	NOUN
brj-22443	3	13	estimation	estimation	NOUN
brj-22443	3	14	using	use	VERB
brj-22443	3	15	arx	arx	PROPN
brj-22443	3	16	models	model	NOUN
brj-22443	3	17	anders	ander	NOUN
brj-22443	3	18	karlström	karlström	PROPN
brj-22443	3	19	,	,	PUNCT
brj-22443	3	20	a	a	DET
brj-22443	3	21	jan	jan	PROPN
brj-22443	3	22	hill	hill	PROPN
brj-22443	3	23	,	,	PUNCT
brj-22443	3	24	b	b	PROPN
brj-22443	3	25	and	and	CCONJ
brj-22443	3	26	lars	lars	PROPN
brj-22443	3	27	johansson	johansson	PROPN
brj-22443	3	28	c	c	PROPN
brj-22443	3	29	,	,	PUNCT
brj-22443	3	30	*	*	PUNCT
brj-22443	3	31	this	this	DET
brj-22443	3	32	paper	paper	NOUN
brj-22443	3	33	focuses	focus	VERB
brj-22443	3	34	on	on	ADP
brj-22443	3	35	estimation	estimation	NOUN
brj-22443	3	36	of	of	ADP
brj-22443	3	37	shives(wide	shives(wide	PROPN
brj-22443	3	38	)	)	PUNCT
brj-22443	3	39	and	and	CCONJ
brj-22443	3	40	fiber	fiber	NOUN
brj-22443	3	41	length	length	NOUN
brj-22443	3	42	in	in	ADP
brj-22443	3	43	rgp82cd	rgp82cd	NOUN
brj-22443	3	44	-	-	PUNCT
brj-22443	3	45	refiners	refiner	NOUN
brj-22443	3	46	using	use	VERB
brj-22443	3	47	an	an	DET
brj-22443	3	48	autoregressive	autoregressive	ADJ
brj-22443	3	49	exogenous	exogenous	ADJ
brj-22443	3	50	(	(	PUNCT
brj-22443	3	51	arx	arx	NOUN
brj-22443	3	52	)	)	PUNCT
brj-22443	3	53	structure	structure	NOUN
brj-22443	3	54	in	in	ADP
brj-22443	3	55	a	a	DET
brj-22443	3	56	data	data	NOUN
brj-22443	3	57	-	-	PUNCT
brj-22443	3	58	driven	drive	VERB
brj-22443	3	59	soft	soft	ADJ
brj-22443	3	60	sensor	sensor	NOUN
brj-22443	3	61	concept	concept	NOUN
brj-22443	3	62	.	.	PUNCT
brj-22443	4	1	both	both	DET
brj-22443	4	2	external	external	ADJ
brj-22443	4	3	and	and	CCONJ
brj-22443	4	4	internal	internal	ADJ
brj-22443	4	5	variables	variable	NOUN
brj-22443	4	6	are	be	AUX
brj-22443	4	7	considered	consider	VERB
brj-22443	4	8	as	as	ADP
brj-22443	4	9	model	model	NOUN
brj-22443	4	10	inputs	input	NOUN
brj-22443	4	11	.	.	PUNCT
brj-22443	5	1	the	the	DET
brj-22443	5	2	pulp	pulp	NOUN
brj-22443	5	3	properties	property	NOUN
brj-22443	5	4	were	be	AUX
brj-22443	5	5	sampled	sample	VERB
brj-22443	5	6	every	every	DET
brj-22443	5	7	15	15	NUM
brj-22443	5	8	min	min	NOUN
brj-22443	5	9	from	from	ADP
brj-22443	5	10	an	an	DET
brj-22443	5	11	on	on	ADP
brj-22443	5	12	-	-	PUNCT
brj-22443	5	13	line	line	NOUN
brj-22443	5	14	device	device	NOUN
brj-22443	5	15	positioned	position	VERB
brj-22443	5	16	after	after	ADP
brj-22443	5	17	the	the	DET
brj-22443	5	18	latency	latency	NOUN
brj-22443	5	19	chest	chest	NOUN
brj-22443	5	20	,	,	PUNCT
brj-22443	5	21	whereas	whereas	SCONJ
brj-22443	5	22	other	other	ADJ
brj-22443	5	23	process	process	NOUN
brj-22443	5	24	data	datum	NOUN
brj-22443	5	25	were	be	AUX
brj-22443	5	26	sampled	sample	VERB
brj-22443	5	27	every	every	DET
brj-22443	5	28	6	6	NUM
brj-22443	5	29	seconds	second	NOUN
brj-22443	5	30	.	.	PUNCT
brj-22443	6	1	notably	notably	ADV
brj-22443	6	2	,	,	PUNCT
brj-22443	6	3	despite	despite	SCONJ
brj-22443	6	4	the	the	DET
brj-22443	6	5	high	high	ADJ
brj-22443	6	6	data	datum	NOUN
brj-22443	6	7	sampling	sample	VERB
brj-22443	6	8	rate	rate	NOUN
brj-22443	6	9	,	,	PUNCT
brj-22443	6	10	the	the	DET
brj-22443	6	11	development	development	NOUN
brj-22443	6	12	of	of	ADP
brj-22443	6	13	robust	robust	ADJ
brj-22443	6	14	models	model	NOUN
brj-22443	6	15	necessitated	necessitate	VERB
brj-22443	6	16	a	a	DET
brj-22443	6	17	dataset	dataset	NOUN
brj-22443	6	18	spanning	span	VERB
brj-22443	6	19	over	over	ADP
brj-22443	6	20	two	two	NUM
brj-22443	6	21	months	month	NOUN
brj-22443	6	22	of	of	ADP
brj-22443	6	23	process	process	NOUN
brj-22443	6	24	information	information	NOUN
brj-22443	6	25	.	.	PUNCT
brj-22443	7	1	the	the	DET
brj-22443	7	2	external	external	ADJ
brj-22443	7	3	variables	variable	NOUN
brj-22443	7	4	studied	study	VERB
brj-22443	7	5	in	in	ADP
brj-22443	7	6	this	this	DET
brj-22443	7	7	paper	paper	NOUN
brj-22443	7	8	were	be	AUX
brj-22443	7	9	specific	specific	ADJ
brj-22443	7	10	energy	energy	NOUN
brj-22443	7	11	,	,	PUNCT
brj-22443	7	12	the	the	DET
brj-22443	7	13	sawmill	sawmill	NOUN
brj-22443	7	14	chip	chip	NOUN
brj-22443	7	15	content	content	NOUN
brj-22443	7	16	,	,	PUNCT
brj-22443	7	17	plate	plate	NOUN
brj-22443	7	18	gaps	gap	NOUN
brj-22443	7	19	,	,	PUNCT
brj-22443	7	20	and	and	CCONJ
brj-22443	7	21	dilution	dilution	NOUN
brj-22443	7	22	water	water	NOUN
brj-22443	7	23	feed	feed	NOUN
brj-22443	7	24	rates	rate	NOUN
brj-22443	7	25	to	to	ADP
brj-22443	7	26	each	each	DET
brj-22443	7	27	refining	refining	NOUN
brj-22443	7	28	zone	zone	NOUN
brj-22443	7	29	.	.	PUNCT
brj-22443	8	1	additional	additional	ADJ
brj-22443	8	2	internal	internal	ADJ
brj-22443	8	3	variables	variable	NOUN
brj-22443	8	4	,	,	PUNCT
brj-22443	8	5	such	such	ADJ
brj-22443	8	6	as	as	ADP
brj-22443	8	7	the	the	DET
brj-22443	8	8	inlet	inlet	ADJ
brj-22443	8	9	flat	flat	ADJ
brj-22443	8	10	zone	zone	NOUN
brj-22443	8	11	temperature	temperature	NOUN
brj-22443	8	12	,	,	PUNCT
brj-22443	8	13	the	the	DET
brj-22443	8	14	maximum	maximum	ADJ
brj-22443	8	15	temperature	temperature	NOUN
brj-22443	8	16	,	,	PUNCT
brj-22443	8	17	and	and	CCONJ
brj-22443	8	18	the	the	DET
brj-22443	8	19	periphery	periphery	ADJ
brj-22443	8	20	temperature	temperature	NOUN
brj-22443	8	21	in	in	ADP
brj-22443	8	22	the	the	DET
brj-22443	8	23	conical	conical	NOUN
brj-22443	8	24	zone	zone	NOUN
brj-22443	8	25	,	,	PUNCT
brj-22443	8	26	were	be	AUX
brj-22443	8	27	also	also	ADV
brj-22443	8	28	used	use	VERB
brj-22443	8	29	as	as	ADP
brj-22443	8	30	model	model	NOUN
brj-22443	8	31	inputs	input	NOUN
brj-22443	8	32	.	.	PUNCT
brj-22443	9	1	it	it	PRON
brj-22443	9	2	was	be	AUX
brj-22443	9	3	concluded	conclude	VERB
brj-22443	9	4	that	that	SCONJ
brj-22443	9	5	both	both	PRON
brj-22443	9	6	shives(wide	shives(wide	PROPN
brj-22443	9	7	)	)	PUNCT
brj-22443	9	8	and	and	CCONJ
brj-22443	9	9	fiber	fiber	NOUN
brj-22443	9	10	length	length	NOUN
brj-22443	9	11	can	can	AUX
brj-22443	9	12	be	be	AUX
brj-22443	9	13	estimated	estimate	VERB
brj-22443	9	14	with	with	ADP
brj-22443	9	15	relatively	relatively	ADV
brj-22443	9	16	good	good	ADJ
brj-22443	9	17	accuracy	accuracy	NOUN
brj-22443	9	18	although	although	SCONJ
brj-22443	9	19	large	large	ADJ
brj-22443	9	20	uncertainties	uncertainty	NOUN
brj-22443	9	21	exist	exist	VERB
brj-22443	9	22	in	in	ADP
brj-22443	9	23	the	the	DET
brj-22443	9	24	measured	measure	VERB
brj-22443	9	25	properties	property	NOUN
brj-22443	9	26	.	.	PUNCT
brj-22443	10	1	finally	finally	ADV
brj-22443	10	2	,	,	PUNCT
brj-22443	10	3	it	it	PRON
brj-22443	10	4	was	be	AUX
brj-22443	10	5	shown	show	VERB
brj-22443	10	6	that	that	SCONJ
brj-22443	10	7	fast	fast	ADJ
brj-22443	10	8	pulp	pulp	NOUN
brj-22443	10	9	property	property	NOUN
brj-22443	10	10	dynamics	dynamic	NOUN
brj-22443	10	11	in	in	ADP
brj-22443	10	12	the	the	DET
brj-22443	10	13	blow	blow	NOUN
brj-22443	10	14	-	-	PUNCT
brj-22443	10	15	line	line	NOUN
brj-22443	10	16	can	can	AUX
brj-22443	10	17	be	be	AUX
brj-22443	10	18	followed	follow	VERB
brj-22443	10	19	,	,	PUNCT
brj-22443	10	20	which	which	PRON
brj-22443	10	21	outperforms	outperform	VERB
brj-22443	10	22	current	current	ADJ
brj-22443	10	23	practices	practice	NOUN
brj-22443	10	24	of	of	ADP
brj-22443	10	25	using	use	VERB
brj-22443	10	26	pulp	pulp	NOUN
brj-22443	10	27	measurement	measurement	NOUN
brj-22443	10	28	devices	device	NOUN
brj-22443	10	29	positioned	position	VERB
brj-22443	10	30	after	after	ADP
brj-22443	10	31	the	the	DET
brj-22443	10	32	latency	latency	NOUN
brj-22443	10	33	chest	chest	NOUN
brj-22443	10	34	.	.	PUNCT
brj-22443	11	1	this	this	PRON
brj-22443	11	2	offers	offer	VERB
brj-22443	11	3	implementation	implementation	NOUN
brj-22443	11	4	of	of	ADP
brj-22443	11	5	more	more	ADV
brj-22443	11	6	advanced	advanced	ADJ
brj-22443	11	7	future	future	ADJ
brj-22443	11	8	pulp	pulp	NOUN
brj-22443	11	9	property	property	NOUN
brj-22443	11	10	control	control	NOUN
brj-22443	11	11	concepts	concept	NOUN
brj-22443	11	12	.	.	PUNCT
brj-22443	12	1	doi	doi	NOUN
brj-22443	12	2	:	:	PUNCT
brj-22443	12	3	10.15376	10.15376	NUM
brj-22443	12	4	/	/	SYM
brj-22443	12	5	biores.18.4.8163	biores.18.4.8163	NOUN
brj-22443	12	6	-	-	PUNCT
brj-22443	12	7	8186	8186	NUM
brj-22443	12	8	keywords	keyword	NOUN
brj-22443	12	9	:	:	PUNCT
brj-22443	12	10	soft	soft	ADJ
brj-22443	12	11	sensors	sensor	NOUN
brj-22443	12	12	;	;	PUNCT
brj-22443	12	13	consistency	consistency	NOUN
brj-22443	12	14	;	;	PUNCT
brj-22443	12	15	temperature	temperature	NOUN
brj-22443	12	16	profile	profile	NOUN
brj-22443	12	17	;	;	PUNCT
brj-22443	12	18	pulp	pulp	NOUN
brj-22443	12	19	property	property	NOUN
brj-22443	12	20	estimations	estimation	NOUN
brj-22443	12	21	;	;	PUNCT
brj-22443	12	22	ctmp	ctmp	NOUN
brj-22443	12	23	;	;	PUNCT
brj-22443	12	24	arx	arx	PROPN
brj-22443	12	25	models	model	NOUN
brj-22443	12	26	contact	contact	NOUN
brj-22443	12	27	information	information	NOUN
brj-22443	12	28	:	:	PUNCT
brj-22443	12	29	a	a	DET
brj-22443	12	30	:	:	PUNCT
brj-22443	12	31	chalmers	chalmers	PROPN
brj-22443	12	32	university	university	NOUN
brj-22443	12	33	of	of	ADP
brj-22443	12	34	technology	technology	NOUN
brj-22443	12	35	,	,	PUNCT
brj-22443	12	36	department	department	NOUN
brj-22443	12	37	of	of	ADP
brj-22443	12	38	electrical	electrical	ADJ
brj-22443	12	39	engineering	engineering	NOUN
brj-22443	12	40	,	,	PUNCT
brj-22443	12	41	se-412	se-412	PROPN
brj-22443	12	42	96	96	NUM
brj-22443	12	43	gothenburg	gothenburg	PROPN
brj-22443	12	44	,	,	PUNCT
brj-22443	12	45	sweden	sweden	PROPN
brj-22443	12	46	;	;	PUNCT
brj-22443	12	47	b	b	X
brj-22443	12	48	:	:	PUNCT
brj-22443	12	49	qualtech	qualtech	PROPN
brj-22443	12	50	jan	jan	PROPN
brj-22443	12	51	hill	hill	PROPN
brj-22443	12	52	ab	ab	PROPN
brj-22443	12	53	,	,	PUNCT
brj-22443	12	54	se-282	se-282	PROPN
brj-22443	12	55	21	21	NUM
brj-22443	12	56	tyringe	tyringe	NOUN
brj-22443	12	57	,	,	PUNCT
brj-22443	12	58	sweden	sweden	PROPN
brj-22443	12	59	;	;	PUNCT
brj-22443	12	60	c	c	X
brj-22443	12	61	:	:	PUNCT
brj-22443	12	62	woodworks	woodworks	PROPN
brj-22443	12	63	cluster	cluster	NOUN
brj-22443	12	64	,	,	PUNCT
brj-22443	12	65	skognæringa	skognæringa	NOUN
brj-22443	12	66	kyst	kyst	NOUN
brj-22443	12	67	,	,	PUNCT
brj-22443	12	68	skolegata	skolegata	NOUN
brj-22443	12	69	22	22	NUM
brj-22443	12	70	,	,	PUNCT
brj-22443	12	71	landbruksklyngen	landbruksklyngen	NOUN
brj-22443	12	72	bygg	bygg	NOUN
brj-22443	12	73	p2	p2	PROPN
brj-22443	12	74	,	,	PUNCT
brj-22443	12	75	no-7713	no-7713	PROPN
brj-22443	12	76	steinkjer	steinkjer	PROPN
brj-22443	12	77	,	,	PUNCT
brj-22443	12	78	norway	norway	PROPN
brj-22443	12	79	;	;	PUNCT
brj-22443	12	80	*	*	PUNCT
brj-22443	12	81	corresponding	correspond	VERB
brj-22443	12	82	author	author	NOUN
brj-22443	12	83	:	:	PUNCT
brj-22443	12	84	lars@woodworkscluster.no	lars@woodworkscluster.no	ADJ
brj-22443	12	85	introduction	introduction	NOUN
brj-22443	12	86	in	in	ADP
brj-22443	12	87	the	the	DET
brj-22443	12	88	last	last	ADJ
brj-22443	12	89	two	two	NUM
brj-22443	12	90	decades	decade	NOUN
brj-22443	12	91	,	,	PUNCT
brj-22443	12	92	soft	soft	ADJ
brj-22443	12	93	sensors	sensor	NOUN
brj-22443	12	94	have	have	AUX
brj-22443	12	95	been	be	AUX
brj-22443	12	96	established	establish	VERB
brj-22443	12	97	as	as	ADP
brj-22443	12	98	valuable	valuable	ADJ
brj-22443	12	99	complements	complement	NOUN
brj-22443	12	100	to	to	ADP
brj-22443	12	101	traditional	traditional	ADJ
brj-22443	12	102	measurements	measurement	NOUN
brj-22443	12	103	for	for	ADP
brj-22443	12	104	critical	critical	ADJ
brj-22443	12	105	process	process	NOUN
brj-22443	12	106	variables	variable	NOUN
brj-22443	12	107	,	,	PUNCT
brj-22443	12	108	process	process	NOUN
brj-22443	12	109	monitoring	monitoring	NOUN
brj-22443	12	110	,	,	PUNCT
brj-22443	12	111	and	and	CCONJ
brj-22443	12	112	process	process	NOUN
brj-22443	12	113	control	control	NOUN
brj-22443	12	114	.	.	PUNCT
brj-22443	13	1	the	the	DET
brj-22443	13	2	term	term	NOUN
brj-22443	13	3	soft	soft	ADJ
brj-22443	13	4	sensors	sensor	NOUN
brj-22443	13	5	imply	imply	VERB
brj-22443	13	6	the	the	DET
brj-22443	13	7	usage	usage	NOUN
brj-22443	13	8	of	of	ADP
brj-22443	13	9	software	software	NOUN
brj-22443	13	10	,	,	PUNCT
brj-22443	13	11	usually	usually	ADV
brj-22443	13	12	computer	computer	NOUN
brj-22443	13	13	programs	program	NOUN
brj-22443	13	14	.	.	PUNCT
brj-22443	14	1	the	the	DET
brj-22443	14	2	soft	soft	ADJ
brj-22443	14	3	sensors	sensor	NOUN
brj-22443	14	4	,	,	PUNCT
brj-22443	14	5	based	base	VERB
brj-22443	14	6	on	on	ADP
brj-22443	14	7	the	the	DET
brj-22443	14	8	models	model	NOUN
brj-22443	14	9	,	,	PUNCT
brj-22443	14	10	are	be	AUX
brj-22443	14	11	expected	expect	VERB
brj-22443	14	12	to	to	PART
brj-22443	14	13	deliver	deliver	VERB
brj-22443	14	14	similar	similar	ADJ
brj-22443	14	15	information	information	NOUN
brj-22443	14	16	as	as	ADP
brj-22443	14	17	their	their	PRON
brj-22443	14	18	hardware	hardware	NOUN
brj-22443	14	19	counterparts	counterpart	NOUN
brj-22443	14	20	(	(	PUNCT
brj-22443	14	21	if	if	SCONJ
brj-22443	14	22	they	they	PRON
brj-22443	14	23	exist	exist	VERB
brj-22443	14	24	)	)	PUNCT
brj-22443	14	25	.	.	PUNCT
brj-22443	15	1	in	in	ADP
brj-22443	15	2	the	the	DET
brj-22443	15	3	process	process	NOUN
brj-22443	15	4	industry	industry	NOUN
brj-22443	15	5	,	,	PUNCT
brj-22443	15	6	such	such	ADJ
brj-22443	15	7	predictive	predictive	ADJ
brj-22443	15	8	sensors	sensor	NOUN
brj-22443	15	9	are	be	AUX
brj-22443	15	10	also	also	ADV
brj-22443	15	11	called	call	VERB
brj-22443	15	12	inferential	inferential	ADJ
brj-22443	15	13	sensors	sensor	NOUN
brj-22443	15	14	,	,	PUNCT
brj-22443	15	15	see	see	VERB
brj-22443	15	16	e.g.	e.g.	ADV
brj-22443	15	17	,	,	PUNCT
brj-22443	15	18	jordaan	jordaan	PROPN
brj-22443	15	19	et	et	PROPN
brj-22443	15	20	al	al	PROPN
brj-22443	15	21	.	.	PROPN
brj-22443	16	1	(	(	PUNCT
brj-22443	16	2	2004	2004	NUM
brj-22443	16	3	)	)	PUNCT
brj-22443	16	4	and	and	CCONJ
brj-22443	16	5	qin	qin	INTJ
brj-22443	16	6	(	(	PUNCT
brj-22443	16	7	1997	1997	NUM
brj-22443	16	8	)	)	PUNCT
brj-22443	16	9	,	,	PUNCT
brj-22443	16	10	virtual	virtual	ADJ
brj-22443	16	11	online	online	ADJ
brj-22443	16	12	analyzers	analyzer	NOUN
brj-22443	16	13	,	,	PUNCT
brj-22443	16	14	see	see	VERB
brj-22443	16	15	han	han	PROPN
brj-22443	16	16	and	and	CCONJ
brj-22443	16	17	lee	lee	PROPN
brj-22443	16	18	(	(	PUNCT
brj-22443	16	19	2002	2002	NUM
brj-22443	16	20	)	)	PUNCT
brj-22443	16	21	,	,	PUNCT
brj-22443	16	22	and	and	CCONJ
brj-22443	16	23	observer	observer	NOUN
brj-22443	16	24	-	-	PUNCT
brj-22443	16	25	based	base	VERB
brj-22443	16	26	sensors	sensor	NOUN
brj-22443	16	27	(	(	PUNCT
brj-22443	16	28	goodwin	goodwin	PROPN
brj-22443	16	29	2000	2000	NUM
brj-22443	16	30	)	)	PUNCT
brj-22443	16	31	.	.	PUNCT
brj-22443	17	1	two	two	NUM
brj-22443	17	2	different	different	ADJ
brj-22443	17	3	classes	class	NOUN
brj-22443	17	4	of	of	ADP
brj-22443	17	5	soft	soft	ADJ
brj-22443	17	6	sensors	sensor	NOUN
brj-22443	17	7	are	be	AUX
brj-22443	17	8	often	often	ADV
brj-22443	17	9	discussed	discuss	VERB
brj-22443	17	10	in	in	ADP
brj-22443	17	11	the	the	DET
brj-22443	17	12	literature	literature	NOUN
brj-22443	17	13	:	:	PUNCT
brj-22443	17	14	modeldriven	modeldriven	NOUN
brj-22443	17	15	and	and	CCONJ
brj-22443	17	16	data	data	NOUN
brj-22443	17	17	-	-	PUNCT
brj-22443	17	18	driven	drive	VERB
brj-22443	17	19	soft	soft	ADJ
brj-22443	17	20	sensors	sensor	NOUN
brj-22443	17	21	.	.	PUNCT
brj-22443	18	1	the	the	DET
brj-22443	18	2	model	model	NOUN
brj-22443	18	3	-	-	PUNCT
brj-22443	18	4	driven	drive	VERB
brj-22443	18	5	family	family	NOUN
brj-22443	18	6	is	be	AUX
brj-22443	18	7	most	most	ADV
brj-22443	18	8	commonly	commonly	ADV
brj-22443	18	9	based	base	VERB
brj-22443	18	10	on	on	ADP
brj-22443	18	11	first	first	ADJ
brj-22443	18	12	principle	principle	NOUN
brj-22443	18	13	models	model	NOUN
brj-22443	18	14	(	(	PUNCT
brj-22443	18	15	fpm	fpm	ADJ
brj-22443	18	16	)	)	PUNCT
brj-22443	18	17	,	,	PUNCT
brj-22443	18	18	extended	extend	VERB
brj-22443	18	19	kalman	kalman	NOUN
brj-22443	18	20	filter	filter	NOUN
brj-22443	18	21	,	,	PUNCT
brj-22443	18	22	and	and	CCONJ
brj-22443	18	23	adaptive	adaptive	ADJ
brj-22443	18	24	observers	observer	NOUN
brj-22443	18	25	(	(	PUNCT
brj-22443	18	26	bastin	bastin	NOUN
brj-22443	18	27	and	and	CCONJ
brj-22443	18	28	dochain	dochain	NOUN
brj-22443	18	29	1990	1990	NUM
brj-22443	18	30	;	;	PUNCT
brj-22443	18	31	chruy	chruy	NOUN
brj-22443	18	32	1997	1997	NUM
brj-22443	18	33	;	;	PUNCT
brj-22443	18	34	assis	assis	NOUN
brj-22443	18	35	and	and	CCONJ
brj-22443	18	36	filho	filho	NOUN
brj-22443	18	37	2000	2000	NUM
brj-22443	18	38	)	)	PUNCT
brj-22443	18	39	.	.	PUNCT
brj-22443	19	1	in	in	ADP
brj-22443	19	2	refining	refining	NOUN
brj-22443	19	3	processes	process	NOUN
brj-22443	19	4	,	,	PUNCT
brj-22443	19	5	related	relate	VERB
brj-22443	19	6	to	to	ADP
brj-22443	19	7	mechanical	mechanical	ADJ
brj-22443	19	8	pulping	pulping	NOUN
brj-22443	19	9	,	,	PUNCT
brj-22443	19	10	fpms	fpm	NOUN
brj-22443	19	11	have	have	AUX
brj-22443	19	12	been	be	AUX
brj-22443	19	13	developed	develop	VERB
brj-22443	19	14	over	over	ADP
brj-22443	19	15	many	many	ADJ
brj-22443	19	16	years	year	NOUN
brj-22443	19	17	(	(	PUNCT
brj-22443	19	18	miles	mile	NOUN
brj-22443	19	19	and	and	CCONJ
brj-22443	19	20	may	may	PROPN
brj-22443	19	21	1990	1990	NUM
brj-22443	19	22	,	,	PUNCT
brj-22443	19	23	1991	1991	NUM
brj-22443	19	24	;	;	PUNCT
brj-22443	19	25	huhtanen	huhtanen	NOUN
brj-22443	19	26	2004	2004	NUM
brj-22443	19	27	)	)	PUNCT
brj-22443	19	28	.	.	PUNCT
brj-22443	20	1	originally	originally	ADV
brj-22443	20	2	,	,	PUNCT
brj-22443	20	3	quite	quite	ADV
brj-22443	20	4	complex	complex	ADJ
brj-22443	20	5	computational	computational	ADJ
brj-22443	20	6	fluid	fluid	ADJ
brj-22443	20	7	dynamic	dynamic	ADJ
brj-22443	20	8	models	model	NOUN
brj-22443	20	9	were	be	AUX
brj-22443	20	10	in	in	ADP
brj-22443	20	11	focus	focus	NOUN
brj-22443	20	12	in	in	ADP
brj-22443	20	13	describing	describe	VERB
brj-22443	20	14	the	the	DET
brj-22443	20	15	fiber	fiber	NOUN
brj-22443	20	16	,	,	PUNCT
brj-22443	20	17	water	water	NOUN
brj-22443	20	18	,	,	PUNCT
brj-22443	20	19	and	and	CCONJ
brj-22443	20	20	steam	steam	NOUN
brj-22443	20	21	peer	peer	NOUN
brj-22443	20	22	-	-	PUNCT
brj-22443	20	23	reviewed	review	VERB
brj-22443	20	24	article	article	NOUN
brj-22443	20	25	bioresources.com	bioresources.com	X
brj-22443	20	26	karlström	karlström	NOUN
brj-22443	20	27	et	et	PROPN
brj-22443	20	28	al	al	PROPN
brj-22443	20	29	.	.	PROPN
brj-22443	21	1	(	(	PUNCT
brj-22443	21	2	2023	2023	NUM
brj-22443	21	3	)	)	PUNCT
brj-22443	21	4	.	.	PUNCT
brj-22443	22	1	“	"	PUNCT
brj-22443	22	2	soft	soft	ADJ
brj-22443	22	3	sensors	sensor	NOUN
brj-22443	22	4	in	in	ADP
brj-22443	22	5	refining	refining	NOUN
brj-22443	22	6	,	,	PUNCT
brj-22443	22	7	”	"	PUNCT
brj-22443	22	8	bioresources	bioresource	NOUN
brj-22443	22	9	18(4	18(4	NUM
brj-22443	22	10	)	)	PUNCT
brj-22443	22	11	,	,	PUNCT
brj-22443	22	12	8163	8163	NUM
brj-22443	22	13	-	-	SYM
brj-22443	22	14	8186	8186	NUM
brj-22443	22	15	.	.	PUNCT
brj-22443	23	1	8164	8164	NUM
brj-22443	23	2	distribution	distribution	NOUN
brj-22443	23	3	along	along	ADP
brj-22443	23	4	the	the	DET
brj-22443	23	5	radius	radius	NOUN
brj-22443	23	6	of	of	ADP
brj-22443	23	7	the	the	DET
brj-22443	23	8	refining	refining	NOUN
brj-22443	23	9	segments	segment	NOUN
brj-22443	23	10	(	(	PUNCT
brj-22443	23	11	karlström	karlström	NOUN
brj-22443	23	12	et	et	PROPN
brj-22443	23	13	al	al	PROPN
brj-22443	23	14	.	.	PROPN
brj-22443	23	15	2008	2008	NUM
brj-22443	23	16	)	)	PUNCT
brj-22443	23	17	.	.	PUNCT
brj-22443	24	1	although	although	SCONJ
brj-22443	24	2	such	such	ADJ
brj-22443	24	3	models	model	NOUN
brj-22443	24	4	are	be	AUX
brj-22443	24	5	not	not	PART
brj-22443	24	6	suitable	suitable	ADJ
brj-22443	24	7	to	to	PART
brj-22443	24	8	implement	implement	VERB
brj-22443	24	9	in	in	ADP
brj-22443	24	10	on	on	ADP
brj-22443	24	11	-	-	PUNCT
brj-22443	24	12	line	line	NOUN
brj-22443	24	13	applications	application	NOUN
brj-22443	24	14	,	,	PUNCT
brj-22443	24	15	karlström	karlström	NOUN
brj-22443	24	16	and	and	CCONJ
brj-22443	24	17	eriksson	eriksson	PROPN
brj-22443	24	18	(	(	PUNCT
brj-22443	24	19	2014a	2014a	NUM
brj-22443	24	20	,	,	PUNCT
brj-22443	24	21	b	b	NOUN
brj-22443	24	22	,	,	PUNCT
brj-22443	24	23	c	c	NOUN
brj-22443	24	24	,	,	PUNCT
brj-22443	24	25	d	d	NOUN
brj-22443	24	26	)	)	PUNCT
brj-22443	24	27	show	show	VERB
brj-22443	24	28	that	that	SCONJ
brj-22443	24	29	a	a	DET
brj-22443	24	30	reduced	reduced	ADJ
brj-22443	24	31	2	2	NUM
brj-22443	24	32	-	-	PUNCT
brj-22443	24	33	dimensional	dimensional	ADJ
brj-22443	24	34	non	non	ADJ
brj-22443	24	35	-	-	ADJ
brj-22443	24	36	linear	linear	ADJ
brj-22443	24	37	model	model	NOUN
brj-22443	24	38	can	can	AUX
brj-22443	24	39	be	be	AUX
brj-22443	24	40	derived	derive	VERB
brj-22443	24	41	for	for	ADP
brj-22443	24	42	temperature	temperature	NOUN
brj-22443	24	43	and	and	CCONJ
brj-22443	24	44	consistency	consistency	NOUN
brj-22443	24	45	control	control	NOUN
brj-22443	24	46	applications	application	NOUN
brj-22443	24	47	(	(	PUNCT
brj-22443	24	48	karlström	karlström	NOUN
brj-22443	24	49	and	and	CCONJ
brj-22443	24	50	hill	hill	NOUN
brj-22443	24	51	2018b	2018b	NUM
brj-22443	24	52	,	,	PUNCT
brj-22443	24	53	c	c	NOUN
brj-22443	24	54	)	)	PUNCT
brj-22443	24	55	.	.	PUNCT
brj-22443	25	1	when	when	SCONJ
brj-22443	25	2	it	it	PRON
brj-22443	25	3	comes	come	VERB
brj-22443	25	4	to	to	ADP
brj-22443	25	5	the	the	DET
brj-22443	25	6	development	development	NOUN
brj-22443	25	7	of	of	ADP
brj-22443	25	8	data	data	NOUN
brj-22443	25	9	-	-	PUNCT
brj-22443	25	10	driven	drive	VERB
brj-22443	25	11	soft	soft	ADJ
brj-22443	25	12	sensors	sensor	NOUN
brj-22443	25	13	,	,	PUNCT
brj-22443	25	14	some	some	DET
brj-22443	25	15	popular	popular	ADJ
brj-22443	25	16	modelling	modelling	NOUN
brj-22443	25	17	techniques	technique	NOUN
brj-22443	25	18	for	for	ADP
brj-22443	25	19	principal	principal	ADJ
brj-22443	25	20	component	component	NOUN
brj-22443	25	21	analysis	analysis	NOUN
brj-22443	25	22	,	,	PUNCT
brj-22443	25	23	system	system	NOUN
brj-22443	25	24	identification	identification	NOUN
brj-22443	25	25	,	,	PUNCT
brj-22443	25	26	and	and	CCONJ
brj-22443	25	27	artificial	artificial	ADJ
brj-22443	25	28	neural	neural	ADJ
brj-22443	25	29	networks	network	NOUN
brj-22443	25	30	are	be	AUX
brj-22443	25	31	quite	quite	ADV
brj-22443	25	32	powerful	powerful	ADJ
brj-22443	25	33	(	(	PUNCT
brj-22443	25	34	ljung	ljung	ADJ
brj-22443	25	35	1997	1997	NUM
brj-22443	25	36	;	;	PUNCT
brj-22443	25	37	principe	principe	NOUN
brj-22443	25	38	et	et	PROPN
brj-22443	25	39	al	al	PROPN
brj-22443	25	40	.	.	PROPN
brj-22443	25	41	2000	2000	NUM
brj-22443	25	42	;	;	PUNCT
brj-22443	25	43	jolliffe	jolliffe	VERB
brj-22443	25	44	2002	2002	NUM
brj-22443	25	45	;	;	PUNCT
brj-22443	25	46	wold	wold	PROPN
brj-22443	25	47	et	et	PROPN
brj-22443	25	48	al	al	PROPN
brj-22443	25	49	.	.	PROPN
brj-22443	25	50	2001	2001	NUM
brj-22443	25	51	)	)	PUNCT
brj-22443	25	52	.	.	PUNCT
brj-22443	26	1	such	such	ADJ
brj-22443	26	2	techniques	technique	NOUN
brj-22443	26	3	are	be	AUX
brj-22443	26	4	useful	useful	ADJ
brj-22443	26	5	when	when	SCONJ
brj-22443	26	6	studying	study	VERB
brj-22443	26	7	refining	refining	NOUN
brj-22443	26	8	processes	process	NOUN
brj-22443	26	9	(	(	PUNCT
brj-22443	26	10	berg	berg	PROPN
brj-22443	26	11	2005	2005	NUM
brj-22443	26	12	;	;	PUNCT
brj-22443	26	13	eriksson	eriksson	PROPN
brj-22443	26	14	2005	2005	NUM
brj-22443	26	15	,	,	PUNCT
brj-22443	26	16	2009	2009	NUM
brj-22443	26	17	)	)	PUNCT
brj-22443	26	18	.	.	PUNCT
brj-22443	27	1	the	the	DET
brj-22443	27	2	literature	literature	NOUN
brj-22443	27	3	describing	describe	VERB
brj-22443	27	4	refining	refining	NOUN
brj-22443	27	5	processes	process	NOUN
brj-22443	27	6	is	be	AUX
brj-22443	27	7	comprehensive	comprehensive	ADJ
brj-22443	27	8	(	(	PUNCT
brj-22443	27	9	hill	hill	NOUN
brj-22443	27	10	et	et	PROPN
brj-22443	27	11	al	al	PROPN
brj-22443	27	12	.	.	PROPN
brj-22443	27	13	1979	1979	NUM
brj-22443	27	14	,	,	PUNCT
brj-22443	27	15	1993	1993	NUM
brj-22443	27	16	;	;	PUNCT
brj-22443	27	17	johansson	johansson	PROPN
brj-22443	27	18	et	et	PROPN
brj-22443	27	19	al	al	PROPN
brj-22443	27	20	.	.	PROPN
brj-22443	27	21	1980	1980	NUM
brj-22443	27	22	;	;	PUNCT
brj-22443	27	23	dahlqvist	dahlqvist	NOUN
brj-22443	27	24	and	and	CCONJ
brj-22443	27	25	ferrari	ferrari	PROPN
brj-22443	27	26	1981	1981	NUM
brj-22443	27	27	;	;	PUNCT
brj-22443	27	28	oksum	oksum	NOUN
brj-22443	27	29	1983	1983	NUM
brj-22443	27	30	;	;	PUNCT
brj-22443	27	31	honkasalo	honkasalo	NOUN
brj-22443	27	32	et	et	PROPN
brj-22443	27	33	al	al	PROPN
brj-22443	27	34	.	.	PROPN
brj-22443	27	35	1989	1989	NUM
brj-22443	27	36	;	;	PUNCT
brj-22443	27	37	bengtsson	bengtsson	NOUN
brj-22443	27	38	et	et	PROPN
brj-22443	27	39	al	al	PROPN
brj-22443	27	40	.	.	PROPN
brj-22443	27	41	2021	2021	NUM
brj-22443	27	42	)	)	PUNCT
brj-22443	27	43	.	.	PUNCT
brj-22443	28	1	in	in	ADP
brj-22443	28	2	this	this	DET
brj-22443	28	3	paper	paper	NOUN
brj-22443	28	4	the	the	DET
brj-22443	28	5	authors	author	NOUN
brj-22443	28	6	combine	combine	VERB
brj-22443	28	7	the	the	DET
brj-22443	28	8	two	two	NUM
brj-22443	28	9	different	different	ADJ
brj-22443	28	10	classes	class	NOUN
brj-22443	28	11	:	:	PUNCT
brj-22443	28	12	1	1	X
brj-22443	28	13	)	)	PUNCT
brj-22443	28	14	model	model	NOUN
brj-22443	28	15	-	-	PUNCT
brj-22443	28	16	driven	drive	VERB
brj-22443	28	17	soft	soft	ADJ
brj-22443	28	18	sensors	sensor	NOUN
brj-22443	28	19	(	(	PUNCT
brj-22443	28	20	“	"	PUNCT
brj-22443	28	21	white	white	ADJ
brj-22443	28	22	-	-	PUNCT
brj-22443	28	23	box	box	NOUN
brj-22443	28	24	”	"	PUNCT
brj-22443	28	25	models	model	NOUN
brj-22443	28	26	phenomenological	phenomenological	ADJ
brj-22443	28	27	knowledge	knowledge	NOUN
brj-22443	28	28	about	about	ADP
brj-22443	28	29	the	the	DET
brj-22443	28	30	process	process	NOUN
brj-22443	28	31	background	background	NOUN
brj-22443	28	32	(	(	PUNCT
brj-22443	28	33	karlström	karlström	NOUN
brj-22443	28	34	et	et	PROPN
brj-22443	28	35	al	al	PROPN
brj-22443	28	36	.	.	PROPN
brj-22443	28	37	2008	2008	NUM
brj-22443	28	38	;	;	PUNCT
brj-22443	28	39	karlström	karlström	NOUN
brj-22443	28	40	and	and	CCONJ
brj-22443	28	41	eriksson	eriksson	PROPN
brj-22443	28	42	2014a	2014a	NUM
brj-22443	28	43	,	,	PUNCT
brj-22443	28	44	b	b	NOUN
brj-22443	28	45	,	,	PUNCT
brj-22443	28	46	c	c	NOUN
brj-22443	28	47	,	,	PUNCT
brj-22443	28	48	d	d	NOUN
brj-22443	28	49	)	)	PUNCT
brj-22443	28	50	;	;	PUNCT
brj-22443	28	51	and	and	CCONJ
brj-22443	28	52	2	2	X
brj-22443	28	53	)	)	PUNCT
brj-22443	28	54	data	data	NOUN
brj-22443	28	55	-	-	PUNCT
brj-22443	28	56	driven	drive	VERB
brj-22443	28	57	soft	soft	ADJ
brj-22443	28	58	sensors	sensor	NOUN
brj-22443	28	59	(	(	PUNCT
brj-22443	28	60	black	black	NOUN
brj-22443	28	61	-	-	PUNCT
brj-22443	28	62	box	box	NOUN
brj-22443	28	63	models	model	NOUN
brj-22443	28	64	based	base	VERB
brj-22443	28	65	on	on	ADP
brj-22443	28	66	empirical	empirical	ADJ
brj-22443	28	67	observations	observation	NOUN
brj-22443	28	68	of	of	ADP
brj-22443	28	69	the	the	DET
brj-22443	28	70	process	process	NOUN
brj-22443	28	71	(	(	PUNCT
brj-22443	28	72	karlström	karlström	NOUN
brj-22443	28	73	et	et	PROPN
brj-22443	28	74	al	al	PROPN
brj-22443	28	75	.	.	PROPN
brj-22443	28	76	2015b	2015b	NUM
brj-22443	28	77	,	,	PUNCT
brj-22443	28	78	2016a	2016a	NUM
brj-22443	28	79	,	,	PUNCT
brj-22443	28	80	b	b	NOUN
brj-22443	28	81	;	;	PUNCT
brj-22443	28	82	karlström	karlström	NOUN
brj-22443	28	83	and	and	CCONJ
brj-22443	28	84	hill	hill	PROPN
brj-22443	28	85	2017a	2017a	NUM
brj-22443	28	86	,	,	PUNCT
brj-22443	28	87	b	b	X
brj-22443	28	88	,	,	PUNCT
brj-22443	28	89	c	c	NOUN
brj-22443	28	90	,	,	PUNCT
brj-22443	28	91	2018b	2018b	NUM
brj-22443	28	92	;	;	PUNCT
brj-22443	28	93	karlström	karlström	NOUN
brj-22443	28	94	et	et	PROPN
brj-22443	28	95	al	al	PROPN
brj-22443	28	96	.	.	PROPN
brj-22443	28	97	2018a	2018a	NUM
brj-22443	28	98	,	,	PUNCT
brj-22443	28	99	d	d	NOUN
brj-22443	28	100	)	)	PUNCT
brj-22443	28	101	.	.	PUNCT
brj-22443	29	1	there	there	PRON
brj-22443	29	2	are	be	VERB
brj-22443	29	3	many	many	ADJ
brj-22443	29	4	combinations	combination	NOUN
brj-22443	29	5	of	of	ADP
brj-22443	29	6	the	the	DET
brj-22443	29	7	two	two	NUM
brj-22443	29	8	classes	class	NOUN
brj-22443	29	9	often	often	ADV
brj-22443	29	10	referred	refer	VERB
brj-22443	29	11	to	to	ADP
brj-22443	29	12	as	as	ADP
brj-22443	29	13	hybrid	hybrid	ADJ
brj-22443	29	14	models	model	NOUN
brj-22443	29	15	.	.	PUNCT
brj-22443	30	1	in	in	ADP
brj-22443	30	2	this	this	DET
brj-22443	30	3	paper	paper	NOUN
brj-22443	30	4	they	they	PRON
brj-22443	30	5	are	be	AUX
brj-22443	30	6	referred	refer	VERB
brj-22443	30	7	to	to	ADP
brj-22443	30	8	as	as	ADP
brj-22443	30	9	grey	grey	NOUN
brj-22443	30	10	-	-	PUNCT
brj-22443	30	11	box	box	NOUN
brj-22443	30	12	models	model	NOUN
brj-22443	30	13	according	accord	VERB
brj-22443	30	14	to	to	ADP
brj-22443	30	15	the	the	DET
brj-22443	30	16	terminology	terminology	NOUN
brj-22443	30	17	presented	present	VERB
brj-22443	30	18	by	by	ADP
brj-22443	30	19	bohlin	bohlin	PROPN
brj-22443	30	20	(	(	PUNCT
brj-22443	30	21	2006	2006	NUM
brj-22443	30	22	)	)	PUNCT
brj-22443	30	23	.	.	PUNCT
brj-22443	31	1	as	as	SCONJ
brj-22443	31	2	described	describe	VERB
brj-22443	31	3	by	by	ADP
brj-22443	31	4	karlström	karlström	PROPN
brj-22443	31	5	et	et	PROPN
brj-22443	31	6	al	al	PROPN
brj-22443	31	7	.	.	PROPN
brj-22443	32	1	(	(	PUNCT
brj-22443	32	2	2017a	2017a	NUM
brj-22443	32	3	,	,	PUNCT
brj-22443	32	4	b	b	NOUN
brj-22443	32	5	,	,	PUNCT
brj-22443	32	6	c	c	NOUN
brj-22443	32	7	)	)	PUNCT
brj-22443	32	8	,	,	PUNCT
brj-22443	32	9	both	both	CCONJ
brj-22443	32	10	external	external	ADJ
brj-22443	32	11	variables	variable	NOUN
brj-22443	32	12	(	(	PUNCT
brj-22443	32	13	specific	specific	ADJ
brj-22443	32	14	energy	energy	NOUN
brj-22443	32	15	,	,	PUNCT
brj-22443	32	16	dilution	dilution	NOUN
brj-22443	32	17	water	water	NOUN
brj-22443	32	18	feed	feed	NOUN
brj-22443	32	19	rates	rate	NOUN
brj-22443	32	20	,	,	PUNCT
brj-22443	32	21	plate	plate	NOUN
brj-22443	32	22	gaps	gap	NOUN
brj-22443	32	23	,	,	PUNCT
brj-22443	32	24	and	and	CCONJ
brj-22443	32	25	amount	amount	NOUN
brj-22443	32	26	of	of	ADP
brj-22443	32	27	sawmill	sawmill	NOUN
brj-22443	32	28	chips	chip	NOUN
brj-22443	32	29	)	)	PUNCT
brj-22443	32	30	and	and	CCONJ
brj-22443	32	31	internal	internal	ADJ
brj-22443	32	32	variables	variable	NOUN
brj-22443	32	33	(	(	PUNCT
brj-22443	32	34	temperature	temperature	NOUN
brj-22443	32	35	profile	profile	NOUN
brj-22443	32	36	,	,	PUNCT
brj-22443	32	37	refining	refining	NOUN
brj-22443	32	38	zone	zone	NOUN
brj-22443	32	39	consistencies	consistency	NOUN
brj-22443	32	40	,	,	PUNCT
brj-22443	32	41	and	and	CCONJ
brj-22443	32	42	fiber	fiber	NOUN
brj-22443	32	43	residence	residence	NOUN
brj-22443	32	44	time	time	NOUN
brj-22443	32	45	,	,	PUNCT
brj-22443	32	46	etc	etc	X
brj-22443	32	47	.	.	X
brj-22443	32	48	)	)	PUNCT
brj-22443	32	49	can	can	AUX
brj-22443	32	50	be	be	AUX
brj-22443	32	51	considered	consider	VERB
brj-22443	32	52	as	as	ADP
brj-22443	32	53	predictors	predictor	NOUN
brj-22443	32	54	when	when	SCONJ
brj-22443	32	55	modeling	model	VERB
brj-22443	32	56	pulp	pulp	NOUN
brj-22443	32	57	properties	property	NOUN
brj-22443	32	58	in	in	ADP
brj-22443	32	59	commercial	commercial	ADJ
brj-22443	32	60	full	full	ADJ
brj-22443	32	61	-	-	PUNCT
brj-22443	32	62	scale	scale	NOUN
brj-22443	32	63	ctmp	ctmp	NOUN
brj-22443	32	64	(	(	PUNCT
brj-22443	32	65	chemi	chemi	NOUN
brj-22443	32	66	thermo	thermo	NOUN
brj-22443	32	67	mechanical	mechanical	ADJ
brj-22443	32	68	pulping	pulping	NOUN
brj-22443	32	69	)	)	PUNCT
brj-22443	32	70	production	production	NOUN
brj-22443	32	71	lines	line	NOUN
brj-22443	32	72	.	.	PUNCT
brj-22443	33	1	the	the	DET
brj-22443	33	2	problem	problem	NOUN
brj-22443	33	3	,	,	PUNCT
brj-22443	33	4	however	however	ADV
brj-22443	33	5	,	,	PUNCT
brj-22443	33	6	is	be	AUX
brj-22443	33	7	the	the	DET
brj-22443	33	8	measurement	measurement	NOUN
brj-22443	33	9	accuracy	accuracy	NOUN
brj-22443	33	10	in	in	ADP
brj-22443	33	11	the	the	DET
brj-22443	33	12	pulp	pulp	NOUN
brj-22443	33	13	devices	device	NOUN
brj-22443	33	14	.	.	PUNCT
brj-22443	34	1	this	this	PRON
brj-22443	34	2	is	be	AUX
brj-22443	34	3	nothing	nothing	PRON
brj-22443	34	4	new	new	ADJ
brj-22443	34	5	,	,	PUNCT
brj-22443	34	6	as	as	SCONJ
brj-22443	34	7	noted	note	VERB
brj-22443	34	8	by	by	ADP
brj-22443	34	9	ferritius	ferritius	PROPN
brj-22443	34	10	et	et	PROPN
brj-22443	34	11	al	al	PROPN
brj-22443	34	12	.	.	PROPN
brj-22443	35	1	(	(	PUNCT
brj-22443	35	2	2018	2018	NUM
brj-22443	35	3	)	)	PUNCT
brj-22443	35	4	in	in	ADP
brj-22443	35	5	another	another	DET
brj-22443	35	6	format	format	NOUN
brj-22443	35	7	“	"	PUNCT
brj-22443	35	8	the	the	DET
brj-22443	35	9	assumption	assumption	NOUN
brj-22443	35	10	that	that	SCONJ
brj-22443	35	11	coarseness	coarseness	NOUN
brj-22443	35	12	is	be	AUX
brj-22443	35	13	constant	constant	ADJ
brj-22443	35	14	for	for	ADP
brj-22443	35	15	all	all	DET
brj-22443	35	16	particles	particle	NOUN
brj-22443	35	17	,	,	PUNCT
brj-22443	35	18	as	as	ADV
brj-22443	35	19	well	well	ADV
brj-22443	35	20	as	as	ADP
brj-22443	35	21	the	the	DET
brj-22443	35	22	arithmetic	arithmetic	ADJ
brj-22443	35	23	average	average	NOUN
brj-22443	35	24	,	,	PUNCT
brj-22443	35	25	may	may	AUX
brj-22443	35	26	lead	lead	VERB
brj-22443	35	27	to	to	ADP
brj-22443	35	28	erroneous	erroneous	ADJ
brj-22443	35	29	conclusions	conclusion	NOUN
brj-22443	35	30	in	in	ADP
brj-22443	35	31	real	real	ADJ
brj-22443	35	32	life	life	NOUN
brj-22443	35	33	as	as	ADV
brj-22443	35	34	well	well	ADV
brj-22443	35	35	as	as	ADP
brj-22443	35	36	in	in	ADP
brj-22443	35	37	simulations	simulation	NOUN
brj-22443	35	38	when	when	SCONJ
brj-22443	35	39	used	use	VERB
brj-22443	35	40	as	as	ADP
brj-22443	35	41	a	a	DET
brj-22443	35	42	measure	measure	NOUN
brj-22443	35	43	of	of	ADP
brj-22443	35	44	the	the	DET
brj-22443	35	45	number	number	NOUN
brj-22443	35	46	of	of	ADP
brj-22443	35	47	long	long	ADJ
brj-22443	35	48	fibres	fibre	NOUN
brj-22443	35	49	”	"	PUNCT
brj-22443	35	50	.	.	PUNCT
brj-22443	36	1	in	in	ADP
brj-22443	36	2	the	the	DET
brj-22443	36	3	absence	absence	NOUN
brj-22443	36	4	of	of	ADP
brj-22443	36	5	other	other	ADJ
brj-22443	36	6	more	more	ADV
brj-22443	36	7	reliable	reliable	ADJ
brj-22443	36	8	pulp	pulp	NOUN
brj-22443	36	9	property	property	NOUN
brj-22443	36	10	measurements	measurement	NOUN
brj-22443	36	11	,	,	PUNCT
brj-22443	36	12	the	the	DET
brj-22443	36	13	measured	measured	ADJ
brj-22443	36	14	shives(wide	shives(wide	NOUN
brj-22443	36	15	)	)	PUNCT
brj-22443	36	16	and	and	CCONJ
brj-22443	36	17	fiber	fiber	NOUN
brj-22443	36	18	length	length	NOUN
brj-22443	36	19	provided	provide	VERB
brj-22443	36	20	by	by	ADP
brj-22443	36	21	the	the	DET
brj-22443	36	22	pulp	pulp	NOUN
brj-22443	36	23	device	device	NOUN
brj-22443	36	24	are	be	AUX
brj-22443	36	25	still	still	ADV
brj-22443	36	26	used	use	VERB
brj-22443	36	27	in	in	ADP
brj-22443	36	28	this	this	DET
brj-22443	36	29	article	article	NOUN
brj-22443	36	30	,	,	PUNCT
brj-22443	36	31	which	which	PRON
brj-22443	36	32	calls	call	VERB
brj-22443	36	33	for	for	ADP
brj-22443	36	34	analysis	analysis	NOUN
brj-22443	36	35	of	of	ADP
brj-22443	36	36	a	a	DET
brj-22443	36	37	huge	huge	ADJ
brj-22443	36	38	amount	amount	NOUN
brj-22443	36	39	of	of	ADP
brj-22443	36	40	data	datum	NOUN
brj-22443	36	41	.	.	PUNCT
brj-22443	37	1	one	one	NUM
brj-22443	37	2	important	important	ADJ
brj-22443	37	3	issue	issue	NOUN
brj-22443	37	4	discussed	discuss	VERB
brj-22443	37	5	by	by	ADP
brj-22443	37	6	bengtsson	bengtsson	PROPN
brj-22443	37	7	et	et	PROPN
brj-22443	37	8	al	al	PROPN
brj-22443	37	9	.	.	PROPN
brj-22443	37	10	(	(	PUNCT
brj-22443	37	11	2021	2021	NUM
brj-22443	37	12	)	)	PUNCT
brj-22443	37	13	,	,	PUNCT
brj-22443	37	14	was	be	AUX
brj-22443	37	15	that	that	SCONJ
brj-22443	37	16	the	the	DET
brj-22443	37	17	use	use	NOUN
brj-22443	37	18	of	of	ADP
brj-22443	37	19	internal	internal	ADJ
brj-22443	37	20	and/or	and/or	CCONJ
brj-22443	37	21	external	external	ADJ
brj-22443	37	22	variables	variable	NOUN
brj-22443	37	23	in	in	ADP
brj-22443	37	24	serially	serially	ADV
brj-22443	37	25	linked	link	VERB
brj-22443	37	26	refining	refining	NOUN
brj-22443	37	27	zones	zone	NOUN
brj-22443	37	28	that	that	PRON
brj-22443	37	29	can	can	AUX
brj-22443	37	30	introduce	introduce	VERB
brj-22443	37	31	collinearities	collinearitie	NOUN
brj-22443	37	32	.	.	PUNCT
brj-22443	38	1	this	this	PRON
brj-22443	38	2	is	be	AUX
brj-22443	38	3	not	not	PART
brj-22443	38	4	a	a	DET
brj-22443	38	5	problem	problem	NOUN
brj-22443	38	6	if	if	SCONJ
brj-22443	38	7	a	a	DET
brj-22443	38	8	model	model	NOUN
brj-22443	38	9	-	-	PUNCT
brj-22443	38	10	driven	drive	VERB
brj-22443	38	11	soft	soft	ADJ
brj-22443	38	12	sensor	sensor	NOUN
brj-22443	38	13	model	model	NOUN
brj-22443	38	14	is	be	AUX
brj-22443	38	15	available	available	ADJ
brj-22443	38	16	online	online	ADV
brj-22443	38	17	,	,	PUNCT
brj-22443	38	18	as	as	SCONJ
brj-22443	38	19	the	the	DET
brj-22443	38	20	estimated	estimate	VERB
brj-22443	38	21	internal	internal	ADJ
brj-22443	38	22	variables	variable	NOUN
brj-22443	38	23	are	be	AUX
brj-22443	38	24	changed	change	VERB
brj-22443	38	25	simultaneously	simultaneously	ADV
brj-22443	38	26	when	when	SCONJ
brj-22443	38	27	the	the	DET
brj-22443	38	28	external	external	ADJ
brj-22443	38	29	variables	variable	NOUN
brj-22443	38	30	are	be	AUX
brj-22443	38	31	changed	change	VERB
brj-22443	38	32	.	.	PUNCT
brj-22443	39	1	however	however	ADV
brj-22443	39	2	,	,	PUNCT
brj-22443	39	3	when	when	SCONJ
brj-22443	39	4	changing	change	VERB
brj-22443	39	5	specific	specific	ADJ
brj-22443	39	6	external	external	ADJ
brj-22443	39	7	variables	variable	NOUN
brj-22443	39	8	(	(	PUNCT
brj-22443	39	9	such	such	ADJ
brj-22443	39	10	as	as	ADP
brj-22443	39	11	plate	plate	NOUN
brj-22443	39	12	gaps	gap	NOUN
brj-22443	39	13	or	or	CCONJ
brj-22443	39	14	dilution	dilution	NOUN
brj-22443	39	15	waters	water	NOUN
brj-22443	39	16	added	add	VERB
brj-22443	39	17	to	to	ADP
brj-22443	39	18	each	each	DET
brj-22443	39	19	refining	refining	NOUN
brj-22443	39	20	zone	zone	NOUN
brj-22443	39	21	)	)	PUNCT
brj-22443	39	22	in	in	ADP
brj-22443	39	23	data	data	NOUN
brj-22443	39	24	-	-	PUNCT
brj-22443	39	25	driven	drive	VERB
brj-22443	39	26	soft	soft	ADJ
brj-22443	39	27	sensors	sensor	NOUN
brj-22443	39	28	,	,	PUNCT
brj-22443	39	29	other	other	ADJ
brj-22443	39	30	external	external	ADJ
brj-22443	39	31	variables	variable	NOUN
brj-22443	39	32	(	(	PUNCT
brj-22443	39	33	such	such	ADJ
brj-22443	39	34	as	as	ADP
brj-22443	39	35	specific	specific	ADJ
brj-22443	39	36	energy	energy	NOUN
brj-22443	39	37	)	)	PUNCT
brj-22443	39	38	are	be	AUX
brj-22443	39	39	also	also	ADV
brj-22443	39	40	affected	affect	VERB
brj-22443	39	41	.	.	PUNCT
brj-22443	40	1	this	this	PRON
brj-22443	40	2	prevents	prevent	VERB
brj-22443	40	3	the	the	DET
brj-22443	40	4	use	use	NOUN
brj-22443	40	5	of	of	ADP
brj-22443	40	6	the	the	DET
brj-22443	40	7	data	data	NOUN
brj-22443	40	8	-	-	PUNCT
brj-22443	40	9	driven	drive	VERB
brj-22443	40	10	soft	soft	ADJ
brj-22443	40	11	sensor	sensor	NOUN
brj-22443	40	12	as	as	ADP
brj-22443	40	13	a	a	DET
brj-22443	40	14	standalone	standalone	NOUN
brj-22443	40	15	estimator	estimator	NOUN
brj-22443	40	16	.	.	PUNCT
brj-22443	41	1	the	the	DET
brj-22443	41	2	idea	idea	NOUN
brj-22443	41	3	presented	present	VERB
brj-22443	41	4	in	in	ADP
brj-22443	41	5	this	this	DET
brj-22443	41	6	article	article	NOUN
brj-22443	41	7	is	be	AUX
brj-22443	41	8	to	to	PART
brj-22443	41	9	highlight	highlight	VERB
brj-22443	41	10	this	this	DET
brj-22443	41	11	conceptual	conceptual	ADJ
brj-22443	41	12	dilemma	dilemma	NOUN
brj-22443	41	13	and	and	CCONJ
brj-22443	41	14	start	start	VERB
brj-22443	41	15	to	to	PART
brj-22443	41	16	analyze	analyze	VERB
brj-22443	41	17	both	both	CCONJ
brj-22443	41	18	external	external	ADJ
brj-22443	41	19	and	and	CCONJ
brj-22443	41	20	internal	internal	ADJ
brj-22443	41	21	variables	variable	NOUN
brj-22443	41	22	as	as	ADP
brj-22443	41	23	predictors	predictor	NOUN
brj-22443	41	24	.	.	PUNCT
brj-22443	42	1	it	it	PRON
brj-22443	42	2	is	be	AUX
brj-22443	42	3	of	of	ADP
brj-22443	42	4	special	special	ADJ
brj-22443	42	5	interest	interest	NOUN
brj-22443	42	6	to	to	PART
brj-22443	42	7	consider	consider	VERB
brj-22443	42	8	the	the	DET
brj-22443	42	9	motor	motor	NOUN
brj-22443	42	10	load	load	NOUN
brj-22443	42	11	split	split	VERB
brj-22443	42	12	between	between	ADP
brj-22443	42	13	the	the	DET
brj-22443	42	14	two	two	NUM
brj-22443	42	15	refining	refining	NOUN
brj-22443	42	16	zones	zone	NOUN
brj-22443	42	17	in	in	ADP
brj-22443	42	18	the	the	DET
brj-22443	42	19	cd	cd	NOUN
brj-22443	42	20	-	-	PUNCT
brj-22443	42	21	refiner	refiner	NOUN
brj-22443	42	22	in	in	ADP
brj-22443	42	23	terms	term	NOUN
brj-22443	42	24	of	of	ADP
brj-22443	42	25	the	the	DET
brj-22443	42	26	specific	specific	ADJ
brj-22443	42	27	energy	energy	NOUN
brj-22443	42	28	related	relate	VERB
brj-22443	42	29	to	to	ADP
brj-22443	42	30	the	the	DET
brj-22443	42	31	flat	flat	ADJ
brj-22443	42	32	zone	zone	NOUN
brj-22443	42	33	(	(	PUNCT
brj-22443	42	34	fz	fz	NOUN
brj-22443	42	35	)	)	PUNCT
brj-22443	42	36	and	and	CCONJ
brj-22443	42	37	the	the	DET
brj-22443	42	38	conical	conical	NOUN
brj-22443	42	39	zone	zone	NOUN
brj-22443	42	40	(	(	PUNCT
brj-22443	42	41	cd	cd	PROPN
brj-22443	42	42	)	)	PUNCT
brj-22443	42	43	,	,	PUNCT
brj-22443	42	44	respectively	respectively	ADV
brj-22443	42	45	.	.	PUNCT
brj-22443	43	1	the	the	DET
brj-22443	43	2	temperature	temperature	NOUN
brj-22443	43	3	profiles	profile	NOUN
brj-22443	43	4	in	in	ADP
brj-22443	43	5	the	the	DET
brj-22443	43	6	fz	fz	NOUN
brj-22443	43	7	and	and	CCONJ
brj-22443	43	8	cd	cd	PROPN
brj-22443	43	9	as	as	ADP
brj-22443	43	10	predictors	predictor	NOUN
brj-22443	43	11	will	will	AUX
brj-22443	43	12	also	also	ADV
brj-22443	43	13	be	be	AUX
brj-22443	43	14	analyzed	analyze	VERB
brj-22443	43	15	.	.	PUNCT
brj-22443	44	1	to	to	PART
brj-22443	44	2	estimate	estimate	VERB
brj-22443	44	3	shives(wide	shives(wide	PROPN
brj-22443	44	4	)	)	PUNCT
brj-22443	44	5	and	and	CCONJ
brj-22443	44	6	fiber	fiber	NOUN
brj-22443	44	7	length	length	NOUN
brj-22443	44	8	,	,	PUNCT
brj-22443	44	9	the	the	DET
brj-22443	44	10	data	data	NOUN
brj-22443	44	11	-	-	PUNCT
brj-22443	44	12	driven	drive	VERB
brj-22443	44	13	dynamic	dynamic	ADJ
brj-22443	44	14	soft	soft	ADJ
brj-22443	44	15	sensors	sensor	NOUN
brj-22443	44	16	derived	derive	VERB
brj-22443	44	17	in	in	ADP
brj-22443	44	18	this	this	DET
brj-22443	44	19	article	article	NOUN
brj-22443	44	20	are	be	AUX
brj-22443	44	21	based	base	VERB
brj-22443	44	22	on	on	ADP
brj-22443	44	23	a	a	DET
brj-22443	44	24	time	time	NOUN
brj-22443	44	25	-	-	PUNCT
brj-22443	44	26	invariant	invariant	ADJ
brj-22443	44	27	linear	linear	NOUN
brj-22443	44	28	system	system	NOUN
brj-22443	44	29	approach	approach	NOUN
brj-22443	44	30	and	and	CCONJ
brj-22443	44	31	specifically	specifically	ADV
brj-22443	44	32	an	an	DET
brj-22443	44	33	autoregressive	autoregressive	ADJ
brj-22443	44	34	exogenous	exogenous	ADJ
brj-22443	44	35	(	(	PUNCT
brj-22443	44	36	arx	arx	NOUN
brj-22443	44	37	)	)	PUNCT
brj-22443	44	38	structure	structure	NOUN
brj-22443	44	39	(	(	PUNCT
brj-22443	44	40	ljung	ljung	ADJ
brj-22443	44	41	1997	1997	NUM
brj-22443	44	42	)	)	PUNCT
brj-22443	44	43	.	.	PUNCT
brj-22443	45	1	peer	peer	NOUN
brj-22443	45	2	-	-	PUNCT
brj-22443	45	3	reviewed	review	VERB
brj-22443	45	4	article	article	NOUN
brj-22443	45	5	bioresources.com	bioresources.com	X
brj-22443	45	6	karlström	karlström	NOUN
brj-22443	45	7	et	et	PROPN
brj-22443	45	8	al	al	PROPN
brj-22443	45	9	.	.	PROPN
brj-22443	45	10	(	(	PUNCT
brj-22443	45	11	2023	2023	NUM
brj-22443	45	12	)	)	PUNCT
brj-22443	45	13	.	.	PUNCT
brj-22443	46	1	“	"	PUNCT
brj-22443	46	2	soft	soft	ADJ
brj-22443	46	3	sensors	sensor	NOUN
brj-22443	46	4	in	in	ADP
brj-22443	46	5	refining	refining	NOUN
brj-22443	46	6	,	,	PUNCT
brj-22443	46	7	”	"	PUNCT
brj-22443	46	8	bioresources	bioresource	NOUN
brj-22443	46	9	18(4	18(4	NUM
brj-22443	46	10	)	)	PUNCT
brj-22443	46	11	,	,	PUNCT
brj-22443	46	12	8163	8163	NUM
brj-22443	46	13	-	-	SYM
brj-22443	46	14	8186	8186	NUM
brj-22443	46	15	.	.	PUNCT
brj-22443	47	1	8165	8165	NUM
brj-22443	47	2	experimental	experimental	ADJ
brj-22443	47	3	cd-82	cd-82	X
brj-22443	47	4	refiner	refiner	NOUN
brj-22443	47	5	this	this	DET
brj-22443	47	6	section	section	NOUN
brj-22443	47	7	covers	cover	VERB
brj-22443	47	8	the	the	DET
brj-22443	47	9	fundamental	fundamental	ADJ
brj-22443	47	10	issues	issue	NOUN
brj-22443	47	11	in	in	ADP
brj-22443	47	12	how	how	SCONJ
brj-22443	47	13	complex	complex	ADJ
brj-22443	47	14	data	data	NOUN
brj-22443	47	15	sets	set	NOUN
brj-22443	47	16	from	from	ADP
brj-22443	47	17	a	a	DET
brj-22443	47	18	fullscale	fullscale	ADJ
brj-22443	47	19	ctmp	ctmp	NOUN
brj-22443	47	20	production	production	NOUN
brj-22443	47	21	line	line	NOUN
brj-22443	47	22	can	can	AUX
brj-22443	47	23	be	be	AUX
brj-22443	47	24	used	use	VERB
brj-22443	47	25	when	when	SCONJ
brj-22443	47	26	modeling	model	VERB
brj-22443	47	27	pulp	pulp	NOUN
brj-22443	47	28	and	and	CCONJ
brj-22443	47	29	handsheet	handsheet	ADJ
brj-22443	47	30	properties	property	NOUN
brj-22443	47	31	.	.	PUNCT
brj-22443	48	1	the	the	DET
brj-22443	48	2	production	production	NOUN
brj-22443	48	3	line	line	NOUN
brj-22443	48	4	consists	consist	VERB
brj-22443	48	5	of	of	ADP
brj-22443	48	6	an	an	DET
brj-22443	48	7	rgp82cd	rgp82cd	NOUN
brj-22443	48	8	(	(	PUNCT
brj-22443	48	9	valmet	valmet	NOUN
brj-22443	48	10	,	,	PUNCT
brj-22443	48	11	sundsvall	sundsvall	PROPN
brj-22443	48	12	,	,	PUNCT
brj-22443	48	13	sweden	sweden	PROPN
brj-22443	48	14	)	)	PUNCT
brj-22443	48	15	with	with	ADP
brj-22443	48	16	three	three	NUM
brj-22443	48	17	small	small	ADJ
brj-22443	48	18	6	6	NUM
brj-22443	48	19	mw	mw	NOUN
brj-22443	48	20	refiners	refiner	NOUN
brj-22443	48	21	(	(	PUNCT
brj-22443	48	22	rlp54	rlp54	NOUN
brj-22443	48	23	)	)	PUNCT
brj-22443	48	24	in	in	ADP
brj-22443	48	25	parallel	parallel	NOUN
brj-22443	48	26	.	.	PUNCT
brj-22443	49	1	the	the	DET
brj-22443	49	2	cd	cd	PROPN
brj-22443	49	3	refiner	refiner	NOUN
brj-22443	49	4	consists	consist	VERB
brj-22443	49	5	of	of	ADP
brj-22443	49	6	two	two	NUM
brj-22443	49	7	serially	serially	ADV
brj-22443	49	8	linked	link	VERB
brj-22443	49	9	refining	refining	NOUN
brj-22443	49	10	zones	zone	NOUN
brj-22443	49	11	called	call	VERB
brj-22443	49	12	the	the	DET
brj-22443	49	13	flat	flat	ADJ
brj-22443	49	14	zone	zone	NOUN
brj-22443	49	15	(	(	PUNCT
brj-22443	49	16	fz	fz	NOUN
brj-22443	49	17	)	)	PUNCT
brj-22443	49	18	and	and	CCONJ
brj-22443	49	19	the	the	DET
brj-22443	49	20	conical	conical	NOUN
brj-22443	49	21	zone	zone	NOUN
brj-22443	49	22	(	(	PUNCT
brj-22443	49	23	cd	cd	PROPN
brj-22443	49	24	)	)	PUNCT
brj-22443	49	25	,	,	PUNCT
brj-22443	49	26	see	see	VERB
brj-22443	49	27	fig	fig	NOUN
brj-22443	49	28	.	.	PUNCT
brj-22443	50	1	1	1	X
brj-22443	50	2	.	.	X
brj-22443	50	3	in	in	ADP
brj-22443	50	4	each	each	DET
brj-22443	50	5	zone	zone	NOUN
brj-22443	50	6	,	,	PUNCT
brj-22443	50	7	sensor	sensor	NOUN
brj-22443	50	8	arrays	array	VERB
brj-22443	50	9	with	with	ADP
brj-22443	50	10	eight	eight	NUM
brj-22443	50	11	temperature	temperature	NOUN
brj-22443	50	12	sensors	sensor	NOUN
brj-22443	50	13	have	have	AUX
brj-22443	50	14	been	be	AUX
brj-22443	50	15	mounted	mount	VERB
brj-22443	50	16	to	to	PART
brj-22443	50	17	measure	measure	VERB
brj-22443	50	18	the	the	DET
brj-22443	50	19	entire	entire	ADJ
brj-22443	50	20	temperature	temperature	NOUN
brj-22443	50	21	profiles	profile	NOUN
brj-22443	50	22	(	(	PUNCT
brj-22443	50	23	karlström	karlström	NOUN
brj-22443	50	24	and	and	CCONJ
brj-22443	50	25	hill	hill	PROPN
brj-22443	50	26	2017a	2017a	NUM
brj-22443	50	27	,	,	PUNCT
brj-22443	50	28	2017b	2017b	NUM
brj-22443	50	29	,	,	PUNCT
brj-22443	50	30	2017c	2017c	NUM
brj-22443	50	31	)	)	PUNCT
brj-22443	50	32	.	.	PUNCT
brj-22443	51	1	fig	fig	NOUN
brj-22443	51	2	.	.	PUNCT
brj-22443	52	1	1	1	X
brj-22443	52	2	.	.	X
brj-22443	52	3	a	a	DET
brj-22443	52	4	schematic	schematic	ADJ
brj-22443	52	5	drawing	drawing	NOUN
brj-22443	52	6	of	of	ADP
brj-22443	52	7	a	a	DET
brj-22443	52	8	cd82	cd82	PROPN
brj-22443	52	9	refiner	refiner	NOUN
brj-22443	52	10	.	.	PUNCT
brj-22443	53	1	the	the	DET
brj-22443	53	2	vertical	vertical	ADJ
brj-22443	53	3	flat	flat	ADJ
brj-22443	53	4	zone	zone	NOUN
brj-22443	53	5	(	(	PUNCT
brj-22443	53	6	fz	fz	NOUN
brj-22443	53	7	)	)	PUNCT
brj-22443	53	8	is	be	AUX
brj-22443	53	9	directly	directly	ADV
brj-22443	53	10	linked	link	VERB
brj-22443	53	11	to	to	ADP
brj-22443	53	12	the	the	DET
brj-22443	53	13	conical	conical	NOUN
brj-22443	53	14	zone	zone	NOUN
brj-22443	53	15	(	(	PUNCT
brj-22443	53	16	cd	cd	PROPN
brj-22443	53	17	)	)	PUNCT
brj-22443	53	18	via	via	ADP
brj-22443	53	19	an	an	DET
brj-22443	53	20	expanding	expand	VERB
brj-22443	53	21	point	point	NOUN
brj-22443	53	22	.	.	PUNCT
brj-22443	54	1	each	each	DET
brj-22443	54	2	temperature	temperature	NOUN
brj-22443	54	3	in	in	ADP
brj-22443	54	4	fig	fig	NOUN
brj-22443	54	5	.	.	PUNCT
brj-22443	55	1	1	1	NUM
brj-22443	55	2	can	can	AUX
brj-22443	55	3	be	be	AUX
brj-22443	55	4	seen	see	VERB
brj-22443	55	5	as	as	ADP
brj-22443	55	6	an	an	DET
brj-22443	55	7	internal	internal	ADJ
brj-22443	55	8	variable	variable	NOUN
brj-22443	55	9	that	that	PRON
brj-22443	55	10	is	be	AUX
brj-22443	55	11	measured	measure	VERB
brj-22443	55	12	together	together	ADV
brj-22443	55	13	with	with	ADP
brj-22443	55	14	traditional	traditional	ADJ
brj-22443	55	15	process	process	NOUN
brj-22443	55	16	variables	variable	NOUN
brj-22443	55	17	(	(	PUNCT
brj-22443	55	18	external	external	ADJ
brj-22443	55	19	variables	variable	NOUN
brj-22443	55	20	)	)	PUNCT
brj-22443	55	21	,	,	PUNCT
brj-22443	55	22	such	such	ADJ
brj-22443	55	23	as	as	ADP
brj-22443	55	24	production	production	NOUN
brj-22443	55	25	rate	rate	NOUN
brj-22443	55	26	,	,	PUNCT
brj-22443	55	27	dilution	dilution	NOUN
brj-22443	55	28	water	water	NOUN
brj-22443	55	29	flows	flow	NOUN
brj-22443	55	30	,	,	PUNCT
brj-22443	55	31	motor	motor	NOUN
brj-22443	55	32	load	load	NOUN
brj-22443	55	33	,	,	PUNCT
brj-22443	55	34	and	and	CCONJ
brj-22443	55	35	plate	plate	NOUN
brj-22443	55	36	gaps	gap	NOUN
brj-22443	55	37	,	,	PUNCT
brj-22443	55	38	between	between	ADP
brj-22443	55	39	refining	refining	NOUN
brj-22443	55	40	segments	segment	NOUN
brj-22443	55	41	.	.	PUNCT
brj-22443	56	1	these	these	DET
brj-22443	56	2	process	process	NOUN
brj-22443	56	3	variables	variable	NOUN
brj-22443	56	4	constitute	constitute	VERB
brj-22443	56	5	the	the	DET
brj-22443	56	6	inputs	input	NOUN
brj-22443	56	7	to	to	ADP
brj-22443	56	8	a	a	DET
brj-22443	56	9	physical	physical	ADJ
brj-22443	56	10	non	non	ADJ
brj-22443	56	11	-	-	ADJ
brj-22443	56	12	linear	linear	ADJ
brj-22443	56	13	model	model	NOUN
brj-22443	56	14	,	,	PUNCT
brj-22443	56	15	which	which	PRON
brj-22443	56	16	the	the	DET
brj-22443	56	17	authors	author	NOUN
brj-22443	56	18	call	call	VERB
brj-22443	56	19	the	the	DET
brj-22443	56	20	model	model	NOUN
brj-22443	56	21	-	-	PUNCT
brj-22443	56	22	driven	drive	VERB
brj-22443	56	23	soft	soft	ADJ
brj-22443	56	24	sensor	sensor	NOUN
brj-22443	56	25	,	,	PUNCT
brj-22443	56	26	which	which	PRON
brj-22443	56	27	is	be	AUX
brj-22443	56	28	schematically	schematically	NOUN
brj-22443	56	29	described	describe	VERB
brj-22443	56	30	in	in	ADP
brj-22443	56	31	fig	fig	NOUN
brj-22443	56	32	.	.	PUNCT
brj-22443	57	1	2	2	X
brj-22443	57	2	.	.	X
brj-22443	57	3	the	the	DET
brj-22443	57	4	model	model	NOUN
brj-22443	57	5	-	-	PUNCT
brj-22443	57	6	driven	drive	VERB
brj-22443	57	7	soft	soft	ADJ
brj-22443	57	8	sensor	sensor	NOUN
brj-22443	57	9	was	be	AUX
brj-22443	57	10	developed	develop	VERB
brj-22443	57	11	to	to	PART
brj-22443	57	12	combine	combine	VERB
brj-22443	57	13	information	information	NOUN
brj-22443	57	14	about	about	ADP
brj-22443	57	15	the	the	DET
brj-22443	57	16	fast	fast	ADJ
brj-22443	57	17	dynamics	dynamic	NOUN
brj-22443	57	18	in	in	ADP
brj-22443	57	19	the	the	DET
brj-22443	57	20	refining	refining	NOUN
brj-22443	57	21	zone	zone	NOUN
brj-22443	57	22	(	(	PUNCT
brj-22443	57	23	ranging	range	VERB
brj-22443	57	24	from	from	ADP
brj-22443	57	25	0.5	0.5	NUM
brj-22443	57	26	to	to	PART
brj-22443	57	27	1	1	NUM
brj-22443	57	28	s	s	NOUN
brj-22443	57	29	)	)	PUNCT
brj-22443	57	30	with	with	ADP
brj-22443	57	31	the	the	DET
brj-22443	57	32	slower	slow	ADJ
brj-22443	57	33	actuator	actuator	NOUN
brj-22443	57	34	dynamics	dynamic	NOUN
brj-22443	57	35	for	for	ADP
brj-22443	57	36	plate	plate	NOUN
brj-22443	57	37	gap	gap	NOUN
brj-22443	57	38	changes	change	NOUN
brj-22443	57	39	and	and	CCONJ
brj-22443	57	40	the	the	DET
brj-22443	57	41	overall	overall	ADJ
brj-22443	57	42	dominant	dominant	ADJ
brj-22443	57	43	dynamics	dynamic	NOUN
brj-22443	57	44	in	in	ADP
brj-22443	57	45	the	the	DET
brj-22443	57	46	inlet	inlet	NOUN
brj-22443	57	47	and	and	CCONJ
brj-22443	57	48	outlet	outlet	NOUN
brj-22443	57	49	piping	piping	NOUN
brj-22443	57	50	.	.	PUNCT
brj-22443	58	1	when	when	SCONJ
brj-22443	58	2	running	run	VERB
brj-22443	58	3	such	such	ADJ
brj-22443	58	4	models	model	NOUN
brj-22443	58	5	in	in	ADP
brj-22443	58	6	real	real	ADJ
brj-22443	58	7	time	time	NOUN
brj-22443	58	8	,	,	PUNCT
brj-22443	58	9	it	it	PRON
brj-22443	58	10	is	be	AUX
brj-22443	58	11	important	important	ADJ
brj-22443	58	12	to	to	PART
brj-22443	58	13	describe	describe	VERB
brj-22443	58	14	the	the	DET
brj-22443	58	15	dynamics	dynamic	NOUN
brj-22443	58	16	at	at	ADP
brj-22443	58	17	different	different	ADJ
brj-22443	58	18	production	production	NOUN
brj-22443	58	19	levels	level	NOUN
brj-22443	58	20	with	with	ADP
brj-22443	58	21	varying	vary	VERB
brj-22443	58	22	process	process	NOUN
brj-22443	58	23	conditions	condition	NOUN
brj-22443	58	24	to	to	PART
brj-22443	58	25	cope	cope	VERB
brj-22443	58	26	with	with	ADP
brj-22443	58	27	the	the	DET
brj-22443	58	28	non	non	NOUN
brj-22443	58	29	-	-	NOUN
brj-22443	58	30	linearities	linearity	NOUN
brj-22443	58	31	in	in	ADP
brj-22443	58	32	the	the	DET
brj-22443	58	33	process	process	NOUN
brj-22443	58	34	(	(	PUNCT
brj-22443	58	35	karlström	karlström	NOUN
brj-22443	58	36	and	and	CCONJ
brj-22443	58	37	eriksson	eriksson	PROPN
brj-22443	58	38	2014a	2014a	NUM
brj-22443	58	39	,	,	PUNCT
brj-22443	58	40	b	b	NOUN
brj-22443	58	41	,	,	PUNCT
brj-22443	58	42	c	c	NOUN
brj-22443	58	43	,	,	PUNCT
brj-22443	58	44	d	d	NOUN
brj-22443	58	45	)	)	PUNCT
brj-22443	58	46	provide	provide	VERB
brj-22443	58	47	details	detail	NOUN
brj-22443	58	48	)	)	PUNCT
brj-22443	58	49	.	.	PUNCT
brj-22443	59	1	the	the	DET
brj-22443	59	2	model	model	NOUN
brj-22443	59	3	-	-	PUNCT
brj-22443	59	4	driven	drive	VERB
brj-22443	59	5	soft	soft	ADJ
brj-22443	59	6	sensor	sensor	NOUN
brj-22443	59	7	in	in	ADP
brj-22443	59	8	fig	fig	NOUN
brj-22443	59	9	.	.	PUNCT
brj-22443	59	10	2	2	NUM
brj-22443	59	11	provides	provide	VERB
brj-22443	59	12	outputs	output	NOUN
brj-22443	59	13	that	that	PRON
brj-22443	59	14	are	be	AUX
brj-22443	59	15	controlled	control	VERB
brj-22443	59	16	using	use	VERB
brj-22443	59	17	tctrl	tctrl	NOUN
brj-22443	59	18	(	(	PUNCT
brj-22443	59	19	maximum	maximum	ADJ
brj-22443	59	20	temperature	temperature	NOUN
brj-22443	59	21	control	control	NOUN
brj-22443	59	22	in	in	ADP
brj-22443	59	23	fz	fz	PROPN
brj-22443	59	24	and	and	CCONJ
brj-22443	59	25	cd	cd	PROPN
brj-22443	59	26	)	)	PUNCT
brj-22443	59	27	by	by	ADP
brj-22443	59	28	manipulating	manipulate	VERB
brj-22443	59	29	the	the	DET
brj-22443	59	30	production	production	NOUN
brj-22443	59	31	and	and	CCONJ
brj-22443	59	32	cctrl	cctrl	NOUN
brj-22443	59	33	(	(	PUNCT
brj-22443	59	34	consistency	consistency	NOUN
brj-22443	59	35	control	control	NOUN
brj-22443	59	36	in	in	ADP
brj-22443	59	37	fz	fz	NOUN
brj-22443	59	38	and	and	CCONJ
brj-22443	59	39	cd	cd	PROPN
brj-22443	59	40	)	)	PUNCT
brj-22443	59	41	where	where	SCONJ
brj-22443	59	42	the	the	DET
brj-22443	59	43	dilution	dilution	NOUN
brj-22443	59	44	water	water	NOUN
brj-22443	59	45	feed	feed	NOUN
brj-22443	59	46	rates	rate	NOUN
brj-22443	59	47	are	be	AUX
brj-22443	59	48	controlled	control	VERB
brj-22443	59	49	to	to	ADP
brj-22443	59	50	each	each	DET
brj-22443	59	51	refining	refining	NOUN
brj-22443	59	52	zone	zone	NOUN
brj-22443	59	53	(	(	PUNCT
brj-22443	59	54	karlström	karlström	NOUN
brj-22443	59	55	et	et	PROPN
brj-22443	59	56	al	al	PROPN
brj-22443	59	57	.	.	PROPN
brj-22443	59	58	2022	2022	NUM
brj-22443	59	59	)	)	PUNCT
brj-22443	59	60	.	.	PUNCT
brj-22443	60	1	as	as	SCONJ
brj-22443	60	2	can	can	AUX
brj-22443	60	3	be	be	AUX
brj-22443	60	4	seen	see	VERB
brj-22443	60	5	in	in	ADP
brj-22443	60	6	fig	fig	NOUN
brj-22443	60	7	.	.	PUNCT
brj-22443	61	1	2	2	NUM
brj-22443	61	2	,	,	PUNCT
brj-22443	61	3	the	the	DET
brj-22443	61	4	motor	motor	NOUN
brj-22443	61	5	load	load	NOUN
brj-22443	61	6	split	split	NOUN
brj-22443	61	7	is	be	AUX
brj-22443	61	8	available	available	ADJ
brj-22443	61	9	from	from	ADP
brj-22443	61	10	the	the	DET
brj-22443	61	11	non	non	ADJ
brj-22443	61	12	-	-	ADJ
brj-22443	61	13	linear	linear	ADJ
brj-22443	61	14	model	model	NOUN
brj-22443	61	15	,	,	PUNCT
brj-22443	61	16	and	and	CCONJ
brj-22443	61	17	this	this	PRON
brj-22443	61	18	makes	make	VERB
brj-22443	61	19	it	it	PRON
brj-22443	61	20	possible	possible	ADJ
brj-22443	61	21	to	to	PART
brj-22443	61	22	control	control	VERB
brj-22443	61	23	the	the	DET
brj-22443	61	24	specific	specific	ADJ
brj-22443	61	25	energy	energy	NOUN
brj-22443	61	26	separately	separately	ADV
brj-22443	61	27	in	in	ADP
brj-22443	61	28	each	each	DET
brj-22443	61	29	refining	refining	NOUN
brj-22443	61	30	zone	zone	NOUN
brj-22443	61	31	.	.	PUNCT
brj-22443	62	1	that	that	DET
brj-22443	62	2	option	option	NOUN
brj-22443	62	3	has	have	AUX
brj-22443	62	4	not	not	PART
brj-22443	62	5	been	be	AUX
brj-22443	62	6	used	use	VERB
brj-22443	62	7	so	so	ADV
brj-22443	62	8	far	far	ADV
brj-22443	62	9	,	,	PUNCT
brj-22443	62	10	but	but	CCONJ
brj-22443	62	11	in	in	ADP
brj-22443	62	12	future	future	ADJ
brj-22443	62	13	applications	application	NOUN
brj-22443	62	14	two	two	NUM
brj-22443	62	15	new	new	ADJ
brj-22443	62	16	concepts	concept	NOUN
brj-22443	62	17	will	will	AUX
brj-22443	62	18	be	be	AUX
brj-22443	62	19	highlighted	highlight	VERB
brj-22443	62	20	(	(	PUNCT
brj-22443	62	21	fig	fig	NOUN
brj-22443	62	22	.	.	PUNCT
brj-22443	63	1	2	2	NUM
brj-22443	63	2	)	)	PUNCT
brj-22443	63	3	,	,	PUNCT
brj-22443	63	4	viz	viz	PROPN
brj-22443	63	5	.	.	PUNCT
brj-22443	63	6	ectrl	ectrl	PROPN
brj-22443	63	7	(	(	PUNCT
brj-22443	63	8	specific	specific	ADJ
brj-22443	63	9	energy	energy	NOUN
brj-22443	63	10	control	control	NOUN
brj-22443	63	11	in	in	ADP
brj-22443	63	12	fz	fz	NOUN
brj-22443	63	13	and	and	CCONJ
brj-22443	63	14	cd	cd	PROPN
brj-22443	63	15	)	)	PUNCT
brj-22443	63	16	and	and	CCONJ
brj-22443	63	17	qctrl	qctrl	PROPN
brj-22443	63	18	(	(	PUNCT
brj-22443	63	19	quality	quality	NOUN
brj-22443	63	20	control	control	NOUN
brj-22443	63	21	out	out	ADP
brj-22443	63	22	from	from	ADP
brj-22443	63	23	the	the	DET
brj-22443	63	24	cd	cd	NOUN
brj-22443	63	25	-	-	PUNCT
brj-22443	63	26	refiner	refiner	NOUN
brj-22443	63	27	)	)	PUNCT
brj-22443	63	28	,	,	PUNCT
brj-22443	63	29	which	which	PRON
brj-22443	63	30	constitutes	constitute	VERB
brj-22443	63	31	the	the	DET
brj-22443	63	32	means	mean	NOUN
brj-22443	63	33	in	in	ADP
brj-22443	63	34	future	future	ADJ
brj-22443	63	35	research	research	NOUN
brj-22443	63	36	activities	activity	NOUN
brj-22443	63	37	to	to	PART
brj-22443	63	38	derive	derive	VERB
brj-22443	63	39	a	a	DET
brj-22443	63	40	complete	complete	ADJ
brj-22443	63	41	refining	refining	NOUN
brj-22443	63	42	soft	soft	ADJ
brj-22443	63	43	sensor	sensor	NOUN
brj-22443	63	44	concept	concept	NOUN
brj-22443	63	45	.	.	PUNCT
brj-22443	64	1	the	the	DET
brj-22443	64	2	purpose	purpose	NOUN
brj-22443	64	3	of	of	ADP
brj-22443	64	4	this	this	DET
brj-22443	64	5	paper	paper	NOUN
brj-22443	64	6	was	be	AUX
brj-22443	64	7	to	to	PART
brj-22443	64	8	develop	develop	VERB
brj-22443	64	9	a	a	DET
brj-22443	64	10	data	data	NOUN
brj-22443	64	11	-	-	PUNCT
brj-22443	64	12	driven	drive	VERB
brj-22443	64	13	soft	soft	ADJ
brj-22443	64	14	sensor	sensor	NOUN
brj-22443	64	15	that	that	PRON
brj-22443	64	16	estimates	estimate	VERB
brj-22443	64	17	the	the	DET
brj-22443	64	18	pulp	pulp	NOUN
brj-22443	64	19	properties	property	NOUN
brj-22443	64	20	shives(wide	shives(wide	PROPN
brj-22443	64	21	)	)	PUNCT
brj-22443	64	22	and	and	CCONJ
brj-22443	64	23	fiber	fiber	NOUN
brj-22443	64	24	length	length	NOUN
brj-22443	64	25	.	.	PUNCT
brj-22443	65	1	of	of	ADP
brj-22443	65	2	course	course	NOUN
brj-22443	65	3	,	,	PUNCT
brj-22443	65	4	the	the	DET
brj-22443	65	5	set	set	NOUN
brj-22443	65	6	of	of	ADP
brj-22443	65	7	pulp	pulp	NOUN
brj-22443	65	8	properties	property	NOUN
brj-22443	65	9	can	can	AUX
brj-22443	65	10	sensor	sensor	NOUN
brj-22443	65	11	arrays	array	NOUN
brj-22443	65	12	mounted	mount	VERB
brj-22443	65	13	in	in	ADP
brj-22443	65	14	the	the	DET
brj-22443	65	15	refining	refining	NOUN
brj-22443	65	16	zones	zone	NOUN
brj-22443	65	17	fz	fz	VERB
brj-22443	65	18	cd	cd	PROPN
brj-22443	65	19	conical	conical	PROPN
brj-22443	65	20	zone	zone	PROPN
brj-22443	65	21	(	(	PUNCT
brj-22443	65	22	cd	cd	PROPN
brj-22443	65	23	)	)	PUNCT
brj-22443	65	24	flat	flat	ADJ
brj-22443	65	25	zone	zone	NOUN
brj-22443	65	26	(	(	PUNCT
brj-22443	65	27	fz	fz	NOUN
brj-22443	65	28	)	)	PUNCT
brj-22443	65	29	peer	peer	NOUN
brj-22443	65	30	-	-	PUNCT
brj-22443	65	31	reviewed	review	VERB
brj-22443	65	32	article	article	NOUN
brj-22443	65	33	bioresources.com	bioresources.com	X
brj-22443	65	34	karlström	karlström	NOUN
brj-22443	65	35	et	et	PROPN
brj-22443	65	36	al	al	PROPN
brj-22443	65	37	.	.	PROPN
brj-22443	66	1	(	(	PUNCT
brj-22443	66	2	2023	2023	NUM
brj-22443	66	3	)	)	PUNCT
brj-22443	66	4	.	.	PUNCT
brj-22443	67	1	“	"	PUNCT
brj-22443	67	2	soft	soft	ADJ
brj-22443	67	3	sensors	sensor	NOUN
brj-22443	67	4	in	in	ADP
brj-22443	67	5	refining	refining	NOUN
brj-22443	67	6	,	,	PUNCT
brj-22443	67	7	”	"	PUNCT
brj-22443	67	8	bioresources	bioresource	NOUN
brj-22443	67	9	18(4	18(4	NUM
brj-22443	67	10	)	)	PUNCT
brj-22443	67	11	,	,	PUNCT
brj-22443	67	12	8163	8163	NUM
brj-22443	67	13	-	-	SYM
brj-22443	67	14	8186	8186	NUM
brj-22443	67	15	.	.	PUNCT
brj-22443	68	1	8166	8166	NUM
brj-22443	68	2	be	be	AUX
brj-22443	68	3	expanded	expand	VERB
brj-22443	68	4	to	to	PART
brj-22443	68	5	include	include	VERB
brj-22443	68	6	most	most	ADJ
brj-22443	68	7	of	of	ADP
brj-22443	68	8	the	the	DET
brj-22443	68	9	fractions	fraction	NOUN
brj-22443	68	10	achieved	achieve	VERB
brj-22443	68	11	from	from	ADP
brj-22443	68	12	pulp	pulp	NOUN
brj-22443	68	13	sampling	sample	VERB
brj-22443	68	14	devices	device	NOUN
brj-22443	68	15	(	(	PUNCT
brj-22443	68	16	positioned	position	VERB
brj-22443	68	17	after	after	ADP
brj-22443	68	18	the	the	DET
brj-22443	68	19	latency	latency	NOUN
brj-22443	68	20	chest	chest	NOUN
brj-22443	68	21	)	)	PUNCT
brj-22443	68	22	.	.	PUNCT
brj-22443	69	1	however	however	ADV
brj-22443	69	2	,	,	PUNCT
brj-22443	69	3	this	this	DET
brj-22443	69	4	article	article	NOUN
brj-22443	69	5	focuses	focus	VERB
brj-22443	69	6	on	on	ADP
brj-22443	69	7	a	a	DET
brj-22443	69	8	subset	subset	NOUN
brj-22443	69	9	of	of	ADP
brj-22443	69	10	all	all	DET
brj-22443	69	11	possible	possible	ADJ
brj-22443	69	12	input	input	NOUN
brj-22443	69	13	candidates	candidate	NOUN
brj-22443	69	14	(	(	PUNCT
brj-22443	69	15	predictors	predictor	NOUN
brj-22443	69	16	)	)	PUNCT
brj-22443	69	17	.	.	PUNCT
brj-22443	70	1	fig	fig	NOUN
brj-22443	70	2	.	.	PUNCT
brj-22443	71	1	2	2	X
brj-22443	71	2	.	.	X
brj-22443	71	3	the	the	DET
brj-22443	71	4	soft	soft	ADJ
brj-22443	71	5	sensor	sensor	NOUN
brj-22443	71	6	concept	concept	NOUN
brj-22443	71	7	includes	include	VERB
brj-22443	71	8	one	one	NUM
brj-22443	71	9	block	block	NOUN
brj-22443	71	10	for	for	ADP
brj-22443	71	11	the	the	DET
brj-22443	71	12	non	non	ADJ
brj-22443	71	13	-	-	ADJ
brj-22443	71	14	linear	linear	ADJ
brj-22443	71	15	model	model	NOUN
brj-22443	71	16	based	base	VERB
brj-22443	71	17	on	on	ADP
brj-22443	71	18	first	first	ADJ
brj-22443	71	19	principles	principle	NOUN
brj-22443	71	20	(	(	PUNCT
brj-22443	71	21	model	model	NOUN
brj-22443	71	22	-	-	PUNCT
brj-22443	71	23	driven	drive	VERB
brj-22443	71	24	soft	soft	ADJ
brj-22443	71	25	sensor	sensor	NOUN
brj-22443	71	26	)	)	PUNCT
brj-22443	71	27	and	and	CCONJ
brj-22443	71	28	one	one	NUM
brj-22443	71	29	for	for	ADP
brj-22443	71	30	the	the	DET
brj-22443	71	31	pulp	pulp	NOUN
brj-22443	71	32	property	property	NOUN
brj-22443	71	33	models	model	NOUN
brj-22443	71	34	(	(	PUNCT
brj-22443	71	35	data	data	NOUN
brj-22443	71	36	-	-	PUNCT
brj-22443	71	37	driven	drive	VERB
brj-22443	71	38	soft	soft	ADJ
brj-22443	71	39	sensor	sensor	NOUN
brj-22443	71	40	)	)	PUNCT
brj-22443	71	41	.	.	PUNCT
brj-22443	72	1	in	in	ADP
brj-22443	72	2	this	this	DET
brj-22443	72	3	set	set	VERB
brj-22443	72	4	up	up	ADP
brj-22443	72	5	,	,	PUNCT
brj-22443	72	6	the	the	DET
brj-22443	72	7	data	data	NOUN
brj-22443	72	8	-	-	PUNCT
brj-22443	72	9	driven	drive	VERB
brj-22443	72	10	soft	soft	ADJ
brj-22443	72	11	sensor	sensor	NOUN
brj-22443	72	12	is	be	AUX
brj-22443	72	13	based	base	VERB
brj-22443	72	14	on	on	ADP
brj-22443	72	15	an	an	DET
brj-22443	72	16	arx	arx	NOUN
brj-22443	72	17	-	-	PUNCT
brj-22443	72	18	structure	structure	NOUN
brj-22443	72	19	.	.	PUNCT
brj-22443	73	1	input	input	NOUN
brj-22443	73	2	candidates	candidate	NOUN
brj-22443	73	3	together	together	ADV
brj-22443	73	4	,	,	PUNCT
brj-22443	73	5	the	the	DET
brj-22443	73	6	model	model	NOUN
brj-22443	73	7	-	-	PUNCT
brj-22443	73	8	driven	drive	VERB
brj-22443	73	9	soft	soft	ADJ
brj-22443	73	10	sensor	sensor	NOUN
brj-22443	73	11	and	and	CCONJ
brj-22443	73	12	the	the	DET
brj-22443	73	13	data	data	NOUN
brj-22443	73	14	-	-	PUNCT
brj-22443	73	15	driven	drive	VERB
brj-22443	73	16	soft	soft	ADJ
brj-22443	73	17	sensor	sensor	NOUN
brj-22443	73	18	constitute	constitute	VERB
brj-22443	73	19	a	a	DET
brj-22443	73	20	“	"	PUNCT
brj-22443	73	21	grey	grey	ADJ
brj-22443	73	22	-	-	PUNCT
brj-22443	73	23	box	box	NOUN
brj-22443	73	24	modeling	modeling	NOUN
brj-22443	73	25	”	"	PUNCT
brj-22443	73	26	concept	concept	NOUN
brj-22443	73	27	according	accord	VERB
brj-22443	73	28	to	to	ADP
brj-22443	73	29	bohlin	bohlin	PROPN
brj-22443	73	30	(	(	PUNCT
brj-22443	73	31	2006	2006	NUM
brj-22443	73	32	)	)	PUNCT
brj-22443	73	33	.	.	PUNCT
brj-22443	74	1	in	in	ADP
brj-22443	74	2	process	process	NOUN
brj-22443	74	3	modelling	modelling	NOUN
brj-22443	74	4	,	,	PUNCT
brj-22443	74	5	knowledge	knowledge	NOUN
brj-22443	74	6	of	of	ADP
brj-22443	74	7	the	the	DET
brj-22443	74	8	process	process	NOUN
brj-22443	74	9	under	under	ADP
brj-22443	74	10	consideration	consideration	NOUN
brj-22443	74	11	is	be	AUX
brj-22443	74	12	typically	typically	ADV
brj-22443	74	13	partial	partial	ADJ
brj-22443	74	14	with	with	ADP
brj-22443	74	15	significant	significant	ADJ
brj-22443	74	16	unknown	unknown	ADJ
brj-22443	74	17	inputs	input	NOUN
brj-22443	74	18	(	(	PUNCT
brj-22443	74	19	disturbances	disturbance	NOUN
brj-22443	74	20	)	)	PUNCT
brj-22443	74	21	to	to	ADP
brj-22443	74	22	the	the	DET
brj-22443	74	23	model	model	NOUN
brj-22443	74	24	.	.	PUNCT
brj-22443	75	1	disturbances	disturbance	NOUN
brj-22443	75	2	militate	militate	VERB
brj-22443	75	3	against	against	ADP
brj-22443	75	4	the	the	DET
brj-22443	75	5	desirable	desirable	ADJ
brj-22443	75	6	trait	trait	NOUN
brj-22443	75	7	of	of	ADP
brj-22443	75	8	model	model	NOUN
brj-22443	75	9	reproducibility	reproducibility	NOUN
brj-22443	75	10	.	.	PUNCT
brj-22443	76	1	"	"	PUNCT
brj-22443	76	2	grey	grey	ADJ
brj-22443	76	3	-	-	PUNCT
brj-22443	76	4	box	box	NOUN
brj-22443	76	5	"	"	PUNCT
brj-22443	76	6	identification	identification	NOUN
brj-22443	76	7	can	can	AUX
brj-22443	76	8	assist	assist	VERB
brj-22443	76	9	,	,	PUNCT
brj-22443	76	10	in	in	ADP
brj-22443	76	11	these	these	DET
brj-22443	76	12	circumstances	circumstance	NOUN
brj-22443	76	13	,	,	PUNCT
brj-22443	76	14	by	by	ADP
brj-22443	76	15	taking	take	VERB
brj-22443	76	16	advantage	advantage	NOUN
brj-22443	76	17	of	of	ADP
brj-22443	76	18	the	the	DET
brj-22443	76	19	two	two	NUM
brj-22443	76	20	sources	source	NOUN
brj-22443	76	21	of	of	ADP
brj-22443	76	22	information	information	NOUN
brj-22443	76	23	that	that	PRON
brj-22443	76	24	may	may	AUX
brj-22443	76	25	be	be	AUX
brj-22443	76	26	available	available	ADJ
brj-22443	76	27	:	:	PUNCT
brj-22443	76	28	any	any	DET
brj-22443	76	29	invariant	invariant	ADJ
brj-22443	76	30	prior	prior	ADJ
brj-22443	76	31	knowledge	knowledge	NOUN
brj-22443	76	32	and	and	CCONJ
brj-22443	76	33	response	response	NOUN
brj-22443	76	34	data	datum	NOUN
brj-22443	76	35	from	from	ADP
brj-22443	76	36	experiments	experiment	NOUN
brj-22443	76	37	.	.	PUNCT
brj-22443	76	38	”	"	PUNCT
brj-22443	77	1	several	several	ADJ
brj-22443	77	2	inputs	input	NOUN
brj-22443	77	3	must	must	AUX
brj-22443	77	4	be	be	AUX
brj-22443	77	5	considered	consider	VERB
brj-22443	77	6	,	,	PUNCT
brj-22443	77	7	especially	especially	ADV
brj-22443	77	8	the	the	DET
brj-22443	77	9	input	input	NOUN
brj-22443	77	10	candidates	candidate	NOUN
brj-22443	77	11	to	to	ADP
brj-22443	77	12	the	the	DET
brj-22443	77	13	data	data	NOUN
brj-22443	77	14	-	-	PUNCT
brj-22443	77	15	driven	drive	VERB
brj-22443	77	16	soft	soft	ADJ
brj-22443	77	17	sensors	sensor	NOUN
brj-22443	77	18	.	.	PUNCT
brj-22443	78	1	as	as	SCONJ
brj-22443	78	2	indicated	indicate	VERB
brj-22443	78	3	in	in	ADP
brj-22443	78	4	fig	fig	NOUN
brj-22443	78	5	.	.	PUNCT
brj-22443	79	1	2	2	NUM
brj-22443	79	2	,	,	PUNCT
brj-22443	79	3	the	the	DET
brj-22443	79	4	model	model	NOUN
brj-22443	79	5	-	-	PUNCT
brj-22443	79	6	driven	drive	VERB
brj-22443	79	7	soft	soft	ADJ
brj-22443	79	8	sensor	sensor	NOUN
brj-22443	79	9	provides	provide	VERB
brj-22443	79	10	several	several	ADJ
brj-22443	79	11	predictors	predictor	NOUN
brj-22443	79	12	ˆ	ˆ	ADV
brj-22443	79	13	(	(	PUNCT
brj-22443	79	14	)	)	PUNCT
brj-22443	79	15	x	x	SYM
brj-22443	79	16	t	t	PROPN
brj-22443	79	17	,	,	PUNCT
brj-22443	79	18	such	such	ADJ
brj-22443	79	19	as	as	ADP
brj-22443	79	20	•	•	NUM
brj-22443	79	21	temperature	temperature	NOUN
brj-22443	79	22	profiles	profile	NOUN
brj-22443	79	23	(	(	PUNCT
brj-22443	79	24	>	>	X
brj-22443	79	25	20	20	NUM
brj-22443	79	26	variables	variable	NOUN
brj-22443	79	27	)	)	PUNCT
brj-22443	79	28	;	;	PUNCT
brj-22443	79	29	•	•	NUM
brj-22443	79	30	consistency	consistency	NOUN
brj-22443	79	31	profiles	profile	NOUN
brj-22443	79	32	(	(	PUNCT
brj-22443	79	33	>	>	X
brj-22443	79	34	20	20	NUM
brj-22443	79	35	variables	variable	NOUN
brj-22443	79	36	)	)	PUNCT
brj-22443	79	37	;	;	PUNCT
brj-22443	79	38	•	•	ADP
brj-22443	79	39	backwards	backwards	ADV
brj-22443	79	40	and	and	CCONJ
brj-22443	79	41	forward	forward	ADV
brj-22443	79	42	flowing	flow	VERB
brj-22443	79	43	steam	steam	NOUN
brj-22443	79	44	(	(	PUNCT
brj-22443	79	45	>	>	X
brj-22443	79	46	20	20	NUM
brj-22443	79	47	variables	variable	NOUN
brj-22443	79	48	)	)	PUNCT
brj-22443	79	49	;	;	PUNCT
brj-22443	79	50	•	•	NUM
brj-22443	79	51	water	water	NOUN
brj-22443	79	52	content	content	NOUN
brj-22443	79	53	profiles	profile	NOUN
brj-22443	79	54	(	(	PUNCT
brj-22443	79	55	>	>	X
brj-22443	79	56	20	20	NUM
brj-22443	79	57	variables	variable	NOUN
brj-22443	79	58	)	)	PUNCT
brj-22443	79	59	;	;	PUNCT
brj-22443	79	60	•	•	NUM
brj-22443	79	61	forces	force	NOUN
brj-22443	79	62	on	on	ADP
brj-22443	79	63	bars	bar	NOUN
brj-22443	79	64	(	(	PUNCT
brj-22443	79	65	>	>	X
brj-22443	79	66	20	20	NUM
brj-22443	79	67	variables	variable	NOUN
brj-22443	79	68	)	)	PUNCT
brj-22443	79	69	;	;	PUNCT
brj-22443	80	1	•	•	NUM
brj-22443	80	2	defibration	defibration	NOUN
brj-22443	80	3	and	and	CCONJ
brj-22443	80	4	thermodynamical	thermodynamical	ADJ
brj-22443	80	5	work	work	NOUN
brj-22443	80	6	in	in	ADP
brj-22443	80	7	each	each	DET
brj-22443	80	8	refining	refining	NOUN
brj-22443	80	9	zone	zone	NOUN
brj-22443	80	10	(	(	PUNCT
brj-22443	80	11	>	>	X
brj-22443	80	12	4	4	NUM
brj-22443	80	13	variables	variable	NOUN
brj-22443	80	14	)	)	PUNCT
brj-22443	80	15	.	.	PUNCT
brj-22443	81	1	non	non	ADJ
brj-22443	81	2	-	-	ADJ
brj-22443	81	3	linear	linear	ADJ
brj-22443	81	4	model	model	NOUN
brj-22443	81	5	based	base	VERB
brj-22443	81	6	on	on	ADP
brj-22443	81	7	first	first	ADJ
brj-22443	81	8	principals	principal	NOUN
brj-22443	81	9	external	external	ADJ
brj-22443	81	10	variables	variable	NOUN
brj-22443	81	11	machine	machine	NOUN
brj-22443	81	12	parameters	parameter	NOUN
brj-22443	81	13	refiner	refiner	NOUN
brj-22443	81	14	segment	segment	NOUN
brj-22443	81	15	parameters	parameter	NOUN
brj-22443	81	16	measured	measure	VERB
brj-22443	81	17	internal	internal	ADJ
brj-22443	81	18	variables	variable	NOUN
brj-22443	81	19	(	(	PUNCT
brj-22443	81	20	temp	temp	NOUN
brj-22443	81	21	)	)	PUNCT
brj-22443	81	22	chip	chip	NOUN
brj-22443	81	23	quality	quality	NOUN
brj-22443	81	24	pulp	pulp	NOUN
brj-22443	81	25	property	property	NOUN
brj-22443	81	26	models	model	NOUN
brj-22443	81	27	based	base	VERB
brj-22443	81	28	on	on	ADP
brj-22443	81	29	an	an	DET
brj-22443	81	30	empirical	empirical	ADJ
brj-22443	81	31	concept	concept	NOUN
brj-22443	81	32	consistency	consistency	NOUN
brj-22443	81	33	(	(	PUNCT
brj-22443	81	34	fz	fz	PROPN
brj-22443	81	35	,	,	PUNCT
brj-22443	81	36	cd	cd	PROPN
brj-22443	81	37	)	)	PUNCT
brj-22443	81	38	specific	specific	ADJ
brj-22443	81	39	energy	energy	NOUN
brj-22443	81	40	(	(	PUNCT
brj-22443	81	41	fz	fz	PROPN
brj-22443	81	42	,	,	PUNCT
brj-22443	81	43	cd	cd	PROPN
brj-22443	81	44	)	)	PUNCT
brj-22443	81	45	soft	soft	ADJ
brj-22443	81	46	soft	soft	ADJ
brj-22443	81	47	sensor	sensor	NOUN
brj-22443	81	48	control	control	NOUN
brj-22443	81	49	algorithms	algorithm	NOUN
brj-22443	81	50	tctrl	tctrl	NOUN
brj-22443	81	51	cctrl	cctrl	PROPN
brj-22443	81	52	ectrl	ectrl	VERB
brj-22443	81	53	qctrl	qctrl	VERB
brj-22443	81	54	ˆ	ˆ	NOUN
brj-22443	81	55	(	(	PUNCT
brj-22443	81	56	)	)	PUNCT
brj-22443	81	57	y	y	PROPN
brj-22443	81	58	t	t	PROPN
brj-22443	81	59	temperature	temperature	NOUN
brj-22443	81	60	profile	profile	NOUN
brj-22443	81	61	ˆ	ˆ	ADV
brj-22443	81	62	(	(	PUNCT
brj-22443	81	63	)	)	PUNCT
brj-22443	81	64	x	x	SYM
brj-22443	81	65	t	t	PROPN
brj-22443	81	66	peer	peer	NOUN
brj-22443	81	67	-	-	PUNCT
brj-22443	81	68	reviewed	review	VERB
brj-22443	81	69	article	article	NOUN
brj-22443	81	70	bioresources.com	bioresources.com	X
brj-22443	81	71	karlström	karlström	NOUN
brj-22443	81	72	et	et	PROPN
brj-22443	81	73	al	al	PROPN
brj-22443	81	74	.	.	PROPN
brj-22443	82	1	(	(	PUNCT
brj-22443	82	2	2023	2023	NUM
brj-22443	82	3	)	)	PUNCT
brj-22443	82	4	.	.	PUNCT
brj-22443	83	1	“	"	PUNCT
brj-22443	83	2	soft	soft	ADJ
brj-22443	83	3	sensors	sensor	NOUN
brj-22443	83	4	in	in	ADP
brj-22443	83	5	refining	refining	NOUN
brj-22443	83	6	,	,	PUNCT
brj-22443	83	7	”	"	PUNCT
brj-22443	83	8	bioresources	bioresource	NOUN
brj-22443	83	9	18(4	18(4	NUM
brj-22443	83	10	)	)	PUNCT
brj-22443	83	11	,	,	PUNCT
brj-22443	83	12	8163	8163	NUM
brj-22443	83	13	-	-	SYM
brj-22443	83	14	8186	8186	NUM
brj-22443	83	15	.	.	PUNCT
brj-22443	84	1	8167	8167	NUM
brj-22443	84	2	these	these	DET
brj-22443	84	3	predictors	predictor	NOUN
brj-22443	84	4	can	can	AUX
brj-22443	84	5	be	be	AUX
brj-22443	84	6	used	use	VERB
brj-22443	84	7	together	together	ADV
brj-22443	84	8	with	with	ADP
brj-22443	84	9	traditional	traditional	ADJ
brj-22443	84	10	external	external	ADJ
brj-22443	84	11	variables	variable	NOUN
brj-22443	84	12	such	such	ADJ
brj-22443	84	13	as	as	ADP
brj-22443	84	14	production	production	NOUN
brj-22443	84	15	and	and	CCONJ
brj-22443	84	16	motor	motor	NOUN
brj-22443	84	17	load	load	NOUN
brj-22443	84	18	.	.	PUNCT
brj-22443	85	1	karlström	karlström	NOUN
brj-22443	85	2	and	and	CCONJ
brj-22443	85	3	hill	hill	PROPN
brj-22443	85	4	(	(	PUNCT
brj-22443	85	5	2017a	2017a	NUM
brj-22443	85	6	,	,	PUNCT
brj-22443	85	7	b	b	NOUN
brj-22443	85	8	,	,	PUNCT
brj-22443	85	9	c	c	NOUN
brj-22443	85	10	)	)	PUNCT
brj-22443	85	11	provide	provide	VERB
brj-22443	85	12	a	a	DET
brj-22443	85	13	deeper	deep	ADJ
brj-22443	85	14	analysis	analysis	NOUN
brj-22443	85	15	.	.	PUNCT
brj-22443	86	1	if	if	SCONJ
brj-22443	86	2	more	more	ADJ
brj-22443	86	3	than	than	ADP
brj-22443	86	4	100	100	NUM
brj-22443	86	5	input	input	NOUN
brj-22443	86	6	candidates	candidate	NOUN
brj-22443	86	7	are	be	AUX
brj-22443	86	8	available	available	ADJ
brj-22443	86	9	as	as	SCONJ
brj-22443	86	10	indicated	indicate	VERB
brj-22443	86	11	above	above	ADV
brj-22443	86	12	and	and	CCONJ
brj-22443	86	13	five	five	NUM
brj-22443	86	14	of	of	ADP
brj-22443	86	15	them	they	PRON
brj-22443	86	16	are	be	AUX
brj-22443	86	17	chosen	choose	VERB
brj-22443	86	18	,	,	PUNCT
brj-22443	86	19	it	it	PRON
brj-22443	86	20	was	be	AUX
brj-22443	86	21	formerly	formerly	ADV
brj-22443	86	22	necessary	necessary	ADJ
brj-22443	86	23	to	to	PART
brj-22443	86	24	consider	consider	VERB
brj-22443	86	25	more	more	ADJ
brj-22443	86	26	than	than	ADP
brj-22443	86	27	75	75	NUM
brj-22443	86	28	million	million	NUM
brj-22443	86	29	combinations	combination	NOUN
brj-22443	86	30	(	(	PUNCT
brj-22443	86	31	bengtsson	bengtsson	NOUN
brj-22443	86	32	et	et	PROPN
brj-22443	86	33	al	al	PROPN
brj-22443	86	34	.	.	PROPN
brj-22443	86	35	2019	2019	NUM
brj-22443	86	36	)	)	PUNCT
brj-22443	86	37	.	.	PUNCT
brj-22443	87	1	this	this	PRON
brj-22443	87	2	,	,	PUNCT
brj-22443	87	3	of	of	ADP
brj-22443	87	4	course	course	NOUN
brj-22443	87	5	,	,	PUNCT
brj-22443	87	6	is	be	AUX
brj-22443	87	7	a	a	DET
brj-22443	87	8	huge	huge	ADJ
brj-22443	87	9	number	number	NOUN
brj-22443	87	10	of	of	ADP
brj-22443	87	11	combinations	combination	NOUN
brj-22443	87	12	to	to	PART
brj-22443	87	13	test	test	VERB
brj-22443	87	14	and	and	CCONJ
brj-22443	87	15	is	be	AUX
brj-22443	87	16	impossible	impossible	ADJ
brj-22443	87	17	to	to	PART
brj-22443	87	18	handle	handle	VERB
brj-22443	87	19	practically	practically	ADV
brj-22443	87	20	.	.	PUNCT
brj-22443	88	1	therefore	therefore	ADV
brj-22443	88	2	,	,	PUNCT
brj-22443	88	3	only	only	ADV
brj-22443	88	4	a	a	DET
brj-22443	88	5	fraction	fraction	NOUN
brj-22443	88	6	of	of	ADP
brj-22443	88	7	all	all	DET
brj-22443	88	8	possible	possible	ADJ
brj-22443	88	9	input	input	NOUN
brj-22443	88	10	candidates	candidate	NOUN
brj-22443	88	11	were	be	AUX
brj-22443	88	12	analyzed	analyze	VERB
brj-22443	88	13	.	.	PUNCT
brj-22443	89	1	as	as	SCONJ
brj-22443	89	2	stated	state	VERB
brj-22443	89	3	by	by	ADP
brj-22443	89	4	karlström	karlström	PROPN
brj-22443	89	5	et	et	PROPN
brj-22443	89	6	al	al	PROPN
brj-22443	89	7	.	.	PROPN
brj-22443	90	1	(	(	PUNCT
brj-22443	90	2	2020	2020	NUM
brj-22443	90	3	)	)	PUNCT
brj-22443	90	4	,	,	PUNCT
brj-22443	90	5	internal	internal	ADJ
brj-22443	90	6	and	and	CCONJ
brj-22443	90	7	external	external	ADJ
brj-22443	90	8	variables	variable	NOUN
brj-22443	90	9	in	in	ADP
brj-22443	90	10	serially	serially	ADV
brj-22443	90	11	linked	link	VERB
brj-22443	90	12	refining	refining	NOUN
brj-22443	90	13	zones	zone	NOUN
brj-22443	90	14	can	can	AUX
brj-22443	90	15	introduce	introduce	VERB
brj-22443	90	16	(	(	PUNCT
brj-22443	90	17	larger	large	ADJ
brj-22443	90	18	or	or	CCONJ
brj-22443	90	19	smaller	small	ADJ
brj-22443	90	20	)	)	PUNCT
brj-22443	90	21	collinearities	collinearitie	NOUN
brj-22443	90	22	between	between	ADP
brj-22443	90	23	the	the	DET
brj-22443	90	24	inputs	input	NOUN
brj-22443	90	25	.	.	PUNCT
brj-22443	91	1	this	this	PRON
brj-22443	91	2	is	be	AUX
brj-22443	91	3	a	a	DET
brj-22443	91	4	drawback	drawback	NOUN
brj-22443	91	5	for	for	ADP
brj-22443	91	6	all	all	DET
brj-22443	91	7	data	data	NOUN
brj-22443	91	8	-	-	PUNCT
brj-22443	91	9	driven	drive	VERB
brj-22443	91	10	soft	soft	ADJ
brj-22443	91	11	sensors	sensor	NOUN
brj-22443	91	12	if	if	SCONJ
brj-22443	91	13	the	the	DET
brj-22443	91	14	aim	aim	NOUN
brj-22443	91	15	is	be	AUX
brj-22443	91	16	to	to	PART
brj-22443	91	17	derive	derive	VERB
brj-22443	91	18	“	"	PUNCT
brj-22443	91	19	pure	pure	ADJ
brj-22443	91	20	”	"	PUNCT
brj-22443	91	21	standalone	standalone	ADJ
brj-22443	91	22	estimators	estimator	NOUN
brj-22443	91	23	for	for	ADP
brj-22443	91	24	pulp	pulp	NOUN
brj-22443	91	25	properties	property	NOUN
brj-22443	91	26	.	.	PUNCT
brj-22443	92	1	this	this	DET
brj-22443	92	2	statement	statement	NOUN
brj-22443	92	3	is	be	AUX
brj-22443	92	4	most	most	ADV
brj-22443	92	5	easily	easily	ADV
brj-22443	92	6	explained	explain	VERB
brj-22443	92	7	by	by	ADP
brj-22443	92	8	an	an	DET
brj-22443	92	9	example	example	NOUN
brj-22443	92	10	:	:	PUNCT
brj-22443	92	11	consider	consider	VERB
brj-22443	92	12	a	a	DET
brj-22443	92	13	change	change	NOUN
brj-22443	92	14	in	in	ADP
brj-22443	92	15	the	the	DET
brj-22443	92	16	plate	plate	NOUN
brj-22443	92	17	gap	gap	NOUN
brj-22443	92	18	in	in	ADP
brj-22443	92	19	the	the	DET
brj-22443	92	20	fz	fz	NOUN
brj-22443	92	21	.	.	PUNCT
brj-22443	93	1	this	this	PRON
brj-22443	93	2	directly	directly	ADV
brj-22443	93	3	affects	affect	VERB
brj-22443	93	4	the	the	DET
brj-22443	93	5	specific	specific	ADJ
brj-22443	93	6	energy	energy	NOUN
brj-22443	93	7	,	,	PUNCT
brj-22443	93	8	which	which	PRON
brj-22443	93	9	most	most	ADV
brj-22443	93	10	often	often	ADV
brj-22443	93	11	is	be	AUX
brj-22443	93	12	also	also	ADV
brj-22443	93	13	an	an	DET
brj-22443	93	14	input	input	NOUN
brj-22443	93	15	in	in	ADP
brj-22443	93	16	soft	soft	ADJ
brj-22443	93	17	sensors	sensor	NOUN
brj-22443	93	18	.	.	PUNCT
brj-22443	94	1	to	to	PART
brj-22443	94	2	analyze	analyze	VERB
brj-22443	94	3	and	and	CCONJ
brj-22443	94	4	detect	detect	VERB
brj-22443	94	5	multicollinearities	multicollinearity	NOUN
brj-22443	94	6	the	the	DET
brj-22443	94	7	variance	variance	NOUN
brj-22443	94	8	inflation	inflation	NOUN
brj-22443	94	9	factors	factor	NOUN
brj-22443	94	10	(	(	PUNCT
brj-22443	94	11	vif	vif	NOUN
brj-22443	94	12	)	)	PUNCT
brj-22443	94	13	will	will	AUX
brj-22443	94	14	be	be	AUX
brj-22443	94	15	used	use	VERB
brj-22443	94	16	,	,	PUNCT
brj-22443	94	17	that	that	ADV
brj-22443	94	18	is	be	AUX
brj-22443	94	19	,	,	PUNCT
brj-22443	94	20	𝑉𝐼𝐹𝑘	𝑉𝐼𝐹𝑘	NOUN
brj-22443	94	21	=	=	NOUN
brj-22443	94	22	1	1	NUM
brj-22443	94	23	1−r𝑘	1−r𝑘	NUM
brj-22443	94	24	2	2	NUM
brj-22443	94	25	(	(	PUNCT
brj-22443	94	26	1	1	NUM
brj-22443	94	27	)	)	PUNCT
brj-22443	94	28	where	where	SCONJ
brj-22443	94	29	r𝑘	r𝑘	NOUN
brj-22443	94	30	2	2	NUM
brj-22443	94	31	corresponds	correspond	VERB
brj-22443	94	32	to	to	ADP
brj-22443	94	33	the	the	DET
brj-22443	94	34	coefficient	coefficient	NOUN
brj-22443	94	35	of	of	ADP
brj-22443	94	36	determination	determination	NOUN
brj-22443	94	37	obtained	obtain	VERB
brj-22443	94	38	by	by	ADP
brj-22443	94	39	regressing	regress	VERB
brj-22443	94	40	the	the	DET
brj-22443	94	41	kth	kth	PROPN
brj-22443	94	42	inputs	input	NOUN
brj-22443	94	43	on	on	ADP
brj-22443	94	44	the	the	DET
brj-22443	94	45	remaining	remain	VERB
brj-22443	94	46	inputs	input	NOUN
brj-22443	94	47	,	,	PUNCT
brj-22443	94	48	i.e.	i.e.	X
brj-22443	94	49	,	,	PUNCT
brj-22443	94	50	vif	vif	NOUN
brj-22443	94	51	quantify	quantify	VERB
brj-22443	94	52	how	how	SCONJ
brj-22443	94	53	much	much	ADJ
brj-22443	94	54	the	the	DET
brj-22443	94	55	variance	variance	NOUN
brj-22443	94	56	is	be	AUX
brj-22443	94	57	inflated	inflate	VERB
brj-22443	94	58	.	.	PUNCT
brj-22443	95	1	a	a	DET
brj-22443	95	2	vifk	vifk	NOUN
brj-22443	95	3	=	=	SYM
brj-22443	95	4	1	1	NUM
brj-22443	95	5	means	mean	VERB
brj-22443	95	6	that	that	SCONJ
brj-22443	95	7	there	there	PRON
brj-22443	95	8	is	be	VERB
brj-22443	95	9	no	no	DET
brj-22443	95	10	linear	linear	ADJ
brj-22443	95	11	correlation	correlation	NOUN
brj-22443	95	12	between	between	ADP
brj-22443	95	13	the	the	DET
brj-22443	95	14	kth	kth	PROPN
brj-22443	95	15	input	input	NOUN
brj-22443	95	16	and	and	CCONJ
brj-22443	95	17	the	the	DET
brj-22443	95	18	other	other	ADJ
brj-22443	95	19	remaining	remain	VERB
brj-22443	95	20	inputs	input	NOUN
brj-22443	95	21	.	.	PUNCT
brj-22443	96	1	if	if	SCONJ
brj-22443	96	2	vifk	vifk	NOUN
brj-22443	96	3	>	>	X
brj-22443	96	4	4	4	NUM
brj-22443	96	5	,	,	PUNCT
brj-22443	96	6	a	a	DET
brj-22443	96	7	general	general	ADJ
brj-22443	96	8	rule	rule	NOUN
brj-22443	96	9	is	be	AUX
brj-22443	96	10	that	that	SCONJ
brj-22443	96	11	further	further	ADJ
brj-22443	96	12	analysis	analysis	NOUN
brj-22443	96	13	should	should	AUX
brj-22443	96	14	be	be	AUX
brj-22443	96	15	performed	perform	VERB
brj-22443	96	16	,	,	PUNCT
brj-22443	96	17	while	while	SCONJ
brj-22443	96	18	vifk	vifk	ADJ
brj-22443	96	19	>	>	X
brj-22443	96	20	10	10	NUM
brj-22443	96	21	indicates	indicate	VERB
brj-22443	96	22	serious	serious	ADJ
brj-22443	96	23	multicollinearities	multicollinearity	NOUN
brj-22443	96	24	,	,	PUNCT
brj-22443	96	25	which	which	PRON
brj-22443	96	26	may	may	AUX
brj-22443	96	27	call	call	VERB
brj-22443	96	28	for	for	ADP
brj-22443	96	29	further	further	ADJ
brj-22443	96	30	analysis	analysis	NOUN
brj-22443	96	31	and	and	CCONJ
brj-22443	96	32	perhaps	perhaps	ADV
brj-22443	96	33	a	a	DET
brj-22443	96	34	modified	modify	VERB
brj-22443	96	35	set	set	NOUN
brj-22443	96	36	of	of	ADP
brj-22443	96	37	inputs	input	NOUN
brj-22443	96	38	(	(	PUNCT
brj-22443	96	39	belsley	belsley	PROPN
brj-22443	96	40	et	et	PROPN
brj-22443	96	41	al	al	PROPN
brj-22443	96	42	.	.	PROPN
brj-22443	96	43	1980	1980	NUM
brj-22443	96	44	)	)	PUNCT
brj-22443	96	45	.	.	PUNCT
brj-22443	97	1	in	in	ADP
brj-22443	97	2	serially	serially	ADV
brj-22443	97	3	linked	link	VERB
brj-22443	97	4	processes	process	NOUN
brj-22443	97	5	,	,	PUNCT
brj-22443	97	6	such	such	ADJ
brj-22443	97	7	as	as	ADP
brj-22443	97	8	the	the	DET
brj-22443	97	9	one	one	NOUN
brj-22443	97	10	studied	study	VERB
brj-22443	97	11	in	in	ADP
brj-22443	97	12	this	this	DET
brj-22443	97	13	article	article	NOUN
brj-22443	97	14	,	,	PUNCT
brj-22443	97	15	the	the	DET
brj-22443	97	16	collinearities	collinearitie	NOUN
brj-22443	97	17	occur	occur	VERB
brj-22443	97	18	between	between	ADP
brj-22443	97	19	some	some	PRON
brj-22443	97	20	of	of	ADP
brj-22443	97	21	the	the	DET
brj-22443	97	22	internal	internal	ADJ
brj-22443	97	23	variables	variable	NOUN
brj-22443	97	24	which	which	PRON
brj-22443	97	25	means	mean	VERB
brj-22443	97	26	that	that	SCONJ
brj-22443	97	27	several	several	ADJ
brj-22443	97	28	aspects	aspect	NOUN
brj-22443	97	29	must	must	AUX
brj-22443	97	30	be	be	AUX
brj-22443	97	31	analyzed	analyze	VERB
brj-22443	97	32	.	.	PUNCT
brj-22443	98	1	further	further	ADJ
brj-22443	98	2	discussion	discussion	NOUN
brj-22443	98	3	is	be	AUX
brj-22443	98	4	provided	provide	VERB
brj-22443	98	5	in	in	ADP
brj-22443	98	6	the	the	DET
brj-22443	98	7	appendix	appendix	NOUN
brj-22443	98	8	.	.	PUNCT
brj-22443	99	1	in	in	ADP
brj-22443	99	2	this	this	DET
brj-22443	99	3	article	article	NOUN
brj-22443	99	4	,	,	PUNCT
brj-22443	99	5	the	the	DET
brj-22443	99	6	authors	author	NOUN
brj-22443	99	7	primarily	primarily	ADV
brj-22443	99	8	focus	focus	VERB
brj-22443	99	9	on	on	ADP
brj-22443	99	10	the	the	DET
brj-22443	99	11	external	external	ADJ
brj-22443	99	12	variables	variable	NOUN
brj-22443	99	13	as	as	SCONJ
brj-22443	99	14	they	they	PRON
brj-22443	99	15	introduce	introduce	VERB
brj-22443	99	16	fewer	few	ADJ
brj-22443	99	17	collinearities	collinearitie	NOUN
brj-22443	99	18	.	.	PUNCT
brj-22443	100	1	if	if	SCONJ
brj-22443	100	2	the	the	DET
brj-22443	100	3	model	model	NOUN
brj-22443	100	4	-	-	PUNCT
brj-22443	100	5	driven	drive	VERB
brj-22443	100	6	soft	soft	ADJ
brj-22443	100	7	sensor	sensor	NOUN
brj-22443	100	8	is	be	AUX
brj-22443	100	9	available	available	ADJ
brj-22443	100	10	,	,	PUNCT
brj-22443	100	11	then	then	ADV
brj-22443	100	12	data	data	NOUN
brj-22443	100	13	-	-	PUNCT
brj-22443	100	14	driven	drive	VERB
brj-22443	100	15	soft	soft	ADJ
brj-22443	100	16	sensors	sensor	NOUN
brj-22443	100	17	can	can	AUX
brj-22443	100	18	be	be	AUX
brj-22443	100	19	improved	improve	VERB
brj-22443	100	20	by	by	ADP
brj-22443	100	21	including	include	VERB
brj-22443	100	22	some	some	DET
brj-22443	100	23	linear	linear	ADJ
brj-22443	100	24	independent	independent	ADJ
brj-22443	100	25	internal	internal	ADJ
brj-22443	100	26	variables	variable	NOUN
brj-22443	100	27	.	.	PUNCT
brj-22443	101	1	the	the	DET
brj-22443	101	2	most	most	ADV
brj-22443	101	3	obvious	obvious	ADJ
brj-22443	101	4	external	external	ADJ
brj-22443	101	5	variables	variable	NOUN
brj-22443	101	6	were	be	AUX
brj-22443	101	7	focused	focus	VERB
brj-22443	101	8	;	;	PUNCT
brj-22443	101	9	specific	specific	ADJ
brj-22443	101	10	energy	energy	NOUN
brj-22443	101	11	(	(	PUNCT
brj-22443	101	12	spe	spe	PROPN
brj-22443	101	13	(	(	PUNCT
brj-22443	101	14	kwh	kwh	PROPN
brj-22443	101	15	/	/	SYM
brj-22443	101	16	t	t	PROPN
brj-22443	101	17	)	)	PUNCT
brj-22443	101	18	)	)	PUNCT
brj-22443	101	19	,	,	PUNCT
brj-22443	101	20	dilution	dilution	NOUN
brj-22443	101	21	water	water	NOUN
brj-22443	101	22	feed	feed	NOUN
brj-22443	101	23	rate	rate	NOUN
brj-22443	101	24	(	(	PUNCT
brj-22443	101	25	dilfz	dilfz	ADJ
brj-22443	101	26	,	,	PUNCT
brj-22443	101	27	dilcd	dilcd	NOUN
brj-22443	101	28	(	(	PUNCT
brj-22443	101	29	l	l	NOUN
brj-22443	101	30	/	/	SYM
brj-22443	101	31	min	min	NOUN
brj-22443	101	32	)	)	PUNCT
brj-22443	101	33	)	)	PUNCT
brj-22443	101	34	,	,	PUNCT
brj-22443	101	35	plate	plate	NOUN
brj-22443	101	36	gaps	gap	NOUN
brj-22443	101	37	(	(	PUNCT
brj-22443	101	38	gapfz	gapfz	NOUN
brj-22443	101	39	,	,	PUNCT
brj-22443	101	40	gapcd	gapcd	NOUN
brj-22443	101	41	(	(	PUNCT
brj-22443	101	42	mm	mm	NOUN
brj-22443	101	43	)	)	PUNCT
brj-22443	101	44	)	)	PUNCT
brj-22443	101	45	,	,	PUNCT
brj-22443	101	46	and	and	CCONJ
brj-22443	101	47	amount	amount	NOUN
brj-22443	101	48	of	of	ADP
brj-22443	101	49	sawmill	sawmill	NOUN
brj-22443	101	50	chips	chip	NOUN
brj-22443	101	51	(	(	PUNCT
brj-22443	101	52	chipq	chipq	NOUN
brj-22443	101	53	(	(	PUNCT
brj-22443	101	54	%	%	NOUN
brj-22443	101	55	)	)	PUNCT
brj-22443	101	56	)	)	PUNCT
brj-22443	101	57	.	.	PUNCT
brj-22443	102	1	as	as	ADP
brj-22443	102	2	internal	internal	ADJ
brj-22443	102	3	variables	variable	NOUN
brj-22443	102	4	,	,	PUNCT
brj-22443	102	5	the	the	DET
brj-22443	102	6	initial	initial	ADJ
brj-22443	102	7	temperature	temperature	NOUN
brj-22443	102	8	in	in	ADP
brj-22443	102	9	the	the	DET
brj-22443	102	10	fz	fz	NOUN
brj-22443	102	11	(	(	PUNCT
brj-22443	102	12	tinit	tinit	NOUN
brj-22443	102	13	(	(	PUNCT
brj-22443	102	14	degc	degc	NOUN
brj-22443	102	15	)	)	PUNCT
brj-22443	102	16	)	)	PUNCT
brj-22443	102	17	,	,	PUNCT
brj-22443	102	18	the	the	DET
brj-22443	102	19	maximum	maximum	ADJ
brj-22443	102	20	temperature	temperature	NOUN
brj-22443	102	21	in	in	ADP
brj-22443	102	22	the	the	DET
brj-22443	102	23	fz	fz	PROPN
brj-22443	102	24	(	(	PUNCT
brj-22443	102	25	tmaxfz	tmaxfz	PROPN
brj-22443	102	26	(	(	PUNCT
brj-22443	102	27	degc	degc	PROPN
brj-22443	102	28	)	)	PUNCT
brj-22443	102	29	)	)	PUNCT
brj-22443	102	30	,	,	PUNCT
brj-22443	102	31	and	and	CCONJ
brj-22443	102	32	the	the	DET
brj-22443	102	33	periphery	periphery	ADJ
brj-22443	102	34	temperature	temperature	NOUN
brj-22443	102	35	in	in	ADP
brj-22443	102	36	the	the	DET
brj-22443	102	37	conical	conical	NOUN
brj-22443	102	38	zone	zone	NOUN
brj-22443	102	39	(	(	PUNCT
brj-22443	102	40	tcdper	tcdper	NOUN
brj-22443	102	41	(	(	PUNCT
brj-22443	102	42	degc	degc	NOUN
brj-22443	102	43	)	)	PUNCT
brj-22443	102	44	)	)	PUNCT
brj-22443	102	45	are	be	AUX
brj-22443	102	46	included	include	VERB
brj-22443	102	47	to	to	PART
brj-22443	102	48	minimize	minimize	VERB
brj-22443	102	49	the	the	DET
brj-22443	102	50	risk	risk	NOUN
brj-22443	102	51	of	of	ADP
brj-22443	102	52	introducing	introduce	VERB
brj-22443	102	53	collinearities	collinearitie	NOUN
brj-22443	102	54	between	between	ADP
brj-22443	102	55	the	the	DET
brj-22443	102	56	predictors	predictor	NOUN
brj-22443	102	57	.	.	PUNCT
brj-22443	103	1	when	when	SCONJ
brj-22443	103	2	appropriate	appropriate	ADJ
brj-22443	103	3	,	,	PUNCT
brj-22443	103	4	two	two	NUM
brj-22443	103	5	items	item	NOUN
brj-22443	103	6	are	be	AUX
brj-22443	103	7	introduced	introduce	VERB
brj-22443	103	8	:	:	PUNCT
brj-22443	103	9	1)spefz	1)spefz	NUM
brj-22443	103	10	and	and	CCONJ
brj-22443	103	11	specd	specd	VERB
brj-22443	103	12	,	,	PUNCT
brj-22443	103	13	i.e.	i.e.	X
brj-22443	103	14	,	,	PUNCT
brj-22443	103	15	the	the	DET
brj-22443	103	16	specific	specific	ADJ
brj-22443	103	17	energy	energy	NOUN
brj-22443	103	18	related	relate	VERB
brj-22443	103	19	to	to	ADP
brj-22443	103	20	each	each	DET
brj-22443	103	21	refining	refining	NOUN
brj-22443	103	22	zone	zone	NOUN
brj-22443	103	23	,	,	PUNCT
brj-22443	103	24	and	and	CCONJ
brj-22443	103	25	2	2	X
brj-22443	103	26	)	)	PUNCT
brj-22443	103	27	the	the	DET
brj-22443	103	28	complete	complete	ADJ
brj-22443	103	29	set	set	NOUN
brj-22443	103	30	of	of	ADP
brj-22443	103	31	the	the	DET
brj-22443	103	32	most	most	ADV
brj-22443	103	33	requested	request	VERB
brj-22443	103	34	internal	internal	ADJ
brj-22443	103	35	states	state	NOUN
brj-22443	103	36	such	such	ADJ
brj-22443	103	37	as	as	ADP
brj-22443	103	38	the	the	DET
brj-22443	103	39	consistencies	consistency	NOUN
brj-22443	103	40	and	and	CCONJ
brj-22443	103	41	fiber	fiber	NOUN
brj-22443	103	42	residence	residence	NOUN
brj-22443	103	43	time	time	NOUN
brj-22443	103	44	in	in	ADP
brj-22443	103	45	each	each	DET
brj-22443	103	46	zone	zone	NOUN
brj-22443	103	47	beside	beside	ADP
brj-22443	103	48	two	two	NUM
brj-22443	103	49	backward	backward	ADJ
brj-22443	103	50	flowing	flow	VERB
brj-22443	103	51	steam	steam	NOUN
brj-22443	103	52	velocities	velocity	NOUN
brj-22443	103	53	.	.	PUNCT
brj-22443	104	1	the	the	DET
brj-22443	104	2	idea	idea	NOUN
brj-22443	104	3	is	be	AUX
brj-22443	104	4	to	to	PART
brj-22443	104	5	show	show	VERB
brj-22443	104	6	how	how	SCONJ
brj-22443	104	7	to	to	PART
brj-22443	104	8	use	use	VERB
brj-22443	104	9	specific	specific	ADJ
brj-22443	104	10	internal	internal	ADJ
brj-22443	104	11	variables	variable	NOUN
brj-22443	104	12	available	available	ADJ
brj-22443	104	13	from	from	ADP
brj-22443	104	14	the	the	DET
brj-22443	104	15	motor	motor	NOUN
brj-22443	104	16	-	-	PUNCT
brj-22443	104	17	driven	drive	VERB
brj-22443	104	18	soft	soft	ADJ
brj-22443	104	19	sensor	sensor	NOUN
brj-22443	104	20	.	.	PUNCT
brj-22443	105	1	methodology	methodology	NOUN
brj-22443	105	2	in	in	ADP
brj-22443	105	3	terms	term	NOUN
brj-22443	105	4	of	of	ADP
brj-22443	105	5	the	the	DET
brj-22443	105	6	data	data	NOUN
brj-22443	105	7	-	-	PUNCT
brj-22443	105	8	driven	drive	VERB
brj-22443	105	9	soft	soft	ADJ
brj-22443	105	10	sensor	sensor	NOUN
brj-22443	105	11	concept	concept	NOUN
brj-22443	105	12	,	,	PUNCT
brj-22443	105	13	a	a	DET
brj-22443	105	14	dynamic	dynamic	ADJ
brj-22443	105	15	model	model	NOUN
brj-22443	105	16	approach	approach	NOUN
brj-22443	105	17	based	base	VERB
brj-22443	105	18	on	on	ADP
brj-22443	105	19	primarily	primarily	ADV
brj-22443	105	20	an	an	DET
brj-22443	105	21	autoregressive	autoregressive	ADJ
brj-22443	105	22	exogenous	exogenous	ADJ
brj-22443	105	23	(	(	PUNCT
brj-22443	105	24	arx	arx	NOUN
brj-22443	105	25	)	)	PUNCT
brj-22443	105	26	structure	structure	NOUN
brj-22443	105	27	was	be	AUX
brj-22443	105	28	used	use	VERB
brj-22443	105	29	.	.	PUNCT
brj-22443	106	1	consider	consider	VERB
brj-22443	106	2	the	the	DET
brj-22443	106	3	system	system	NOUN
brj-22443	106	4	description	description	NOUN
brj-22443	106	5	in	in	ADP
brj-22443	106	6	fig	fig	NOUN
brj-22443	106	7	.	.	PUNCT
brj-22443	107	1	3	3	NUM
brj-22443	107	2	the	the	DET
brj-22443	107	3	input	input	NOUN
brj-22443	107	4	vector	vector	NOUN
brj-22443	107	5	u(t	u(t	NOUN
brj-22443	107	6	)	)	PUNCT
brj-22443	107	7	represents	represent	VERB
brj-22443	107	8	the	the	DET
brj-22443	107	9	external	external	ADJ
brj-22443	107	10	variables	variable	NOUN
brj-22443	107	11	,	,	PUNCT
brj-22443	107	12	such	such	ADJ
brj-22443	107	13	as	as	ADP
brj-22443	107	14	production	production	NOUN
brj-22443	107	15	,	,	PUNCT
brj-22443	107	16	the	the	DET
brj-22443	107	17	plate	plate	NOUN
brj-22443	107	18	gaps	gap	NOUN
brj-22443	107	19	and	and	CCONJ
brj-22443	107	20	dilution	dilution	NOUN
brj-22443	107	21	water	water	NOUN
brj-22443	107	22	feed	feed	NOUN
brj-22443	107	23	rates	rate	NOUN
brj-22443	107	24	to	to	ADP
brj-22443	107	25	the	the	DET
brj-22443	107	26	flat	flat	ADJ
brj-22443	107	27	zone	zone	NOUN
brj-22443	107	28	and	and	CCONJ
brj-22443	107	29	conical	conical	NOUN
brj-22443	107	30	zone	zone	NOUN
brj-22443	107	31	,	,	PUNCT
brj-22443	107	32	while	while	SCONJ
brj-22443	107	33	vector	vector	NOUN
brj-22443	107	34	x(t	x(t	PROPN
brj-22443	107	35	)	)	PUNCT
brj-22443	107	36	represents	represent	VERB
brj-22443	107	37	the	the	DET
brj-22443	107	38	internal	internal	ADJ
brj-22443	107	39	variables	variable	NOUN
brj-22443	107	40	,	,	PUNCT
brj-22443	107	41	such	such	ADJ
brj-22443	107	42	as	as	ADP
brj-22443	107	43	refining	refining	NOUN
brj-22443	107	44	zone	zone	NOUN
brj-22443	107	45	temperatures	temperature	NOUN
brj-22443	107	46	,	,	PUNCT
brj-22443	107	47	consistencies	consistency	NOUN
brj-22443	107	48	,	,	PUNCT
brj-22443	107	49	and	and	CCONJ
brj-22443	107	50	fiber	fiber	NOUN
brj-22443	107	51	residence	residence	PROPN
brj-22443	107	52	times	times	PROPN
brj-22443	107	53	.	.	PUNCT
brj-22443	108	1	peer	peer	NOUN
brj-22443	108	2	-	-	PUNCT
brj-22443	108	3	reviewed	review	VERB
brj-22443	108	4	article	article	NOUN
brj-22443	108	5	bioresources.com	bioresources.com	X
brj-22443	108	6	karlström	karlström	NOUN
brj-22443	108	7	et	et	PROPN
brj-22443	108	8	al	al	PROPN
brj-22443	108	9	.	.	PROPN
brj-22443	108	10	(	(	PUNCT
brj-22443	108	11	2023	2023	NUM
brj-22443	108	12	)	)	PUNCT
brj-22443	108	13	.	.	PUNCT
brj-22443	109	1	“	"	PUNCT
brj-22443	109	2	soft	soft	ADJ
brj-22443	109	3	sensors	sensor	NOUN
brj-22443	109	4	in	in	ADP
brj-22443	109	5	refining	refining	NOUN
brj-22443	109	6	,	,	PUNCT
brj-22443	109	7	”	"	PUNCT
brj-22443	109	8	bioresources	bioresource	NOUN
brj-22443	109	9	18(4	18(4	NUM
brj-22443	109	10	)	)	PUNCT
brj-22443	109	11	,	,	PUNCT
brj-22443	109	12	8163	8163	NUM
brj-22443	109	13	-	-	SYM
brj-22443	109	14	8186	8186	NUM
brj-22443	109	15	.	.	PUNCT
brj-22443	109	16	8168	8168	NUM
brj-22443	109	17	fig	fig	NOUN
brj-22443	109	18	.	.	PUNCT
brj-22443	110	1	3	3	X
brj-22443	110	2	.	.	X
brj-22443	110	3	illustration	illustration	NOUN
brj-22443	110	4	of	of	ADP
brj-22443	110	5	modeling	model	VERB
brj-22443	110	6	approaches	approach	NOUN
brj-22443	110	7	:	:	PUNCT
brj-22443	110	8	u(t	u(t	NOUN
brj-22443	110	9	)	)	PUNCT
brj-22443	110	10	is	be	AUX
brj-22443	110	11	the	the	DET
brj-22443	110	12	basic	basic	ADJ
brj-22443	110	13	input	input	NOUN
brj-22443	110	14	vector	vector	NOUN
brj-22443	110	15	,	,	PUNCT
brj-22443	110	16	y(t	y(t	NUM
brj-22443	110	17	)	)	PUNCT
brj-22443	110	18	is	be	AUX
brj-22443	110	19	the	the	DET
brj-22443	110	20	output	output	NOUN
brj-22443	110	21	vector	vector	NOUN
brj-22443	110	22	,	,	PUNCT
brj-22443	110	23	and	and	CCONJ
brj-22443	110	24	x(t	x(t	PROPN
brj-22443	110	25	)	)	PUNCT
brj-22443	110	26	is	be	AUX
brj-22443	110	27	a	a	DET
brj-22443	110	28	vector	vector	NOUN
brj-22443	110	29	of	of	ADP
brj-22443	110	30	internal	internal	ADJ
brj-22443	110	31	states	state	NOUN
brj-22443	110	32	hence	hence	ADV
brj-22443	110	33	,	,	PUNCT
brj-22443	110	34	from	from	ADP
brj-22443	110	35	a	a	DET
brj-22443	110	36	system	system	NOUN
brj-22443	110	37	identification	identification	NOUN
brj-22443	110	38	perspective	perspective	NOUN
brj-22443	110	39	,	,	PUNCT
brj-22443	110	40	the	the	DET
brj-22443	110	41	main	main	ADJ
brj-22443	110	42	input	input	NOUN
brj-22443	110	43	vector	vector	NOUN
brj-22443	110	44	will	will	AUX
brj-22443	110	45	be	be	AUX
brj-22443	110	46	ux(t)={u(t),x(t	ux(t)={u(t),x(t	VERB
brj-22443	110	47	)	)	PUNCT
brj-22443	110	48	}	}	PUNCT
brj-22443	110	49	.	.	PUNCT
brj-22443	111	1	the	the	DET
brj-22443	111	2	focus	focus	NOUN
brj-22443	111	3	is	be	AUX
brj-22443	111	4	on	on	ADP
brj-22443	111	5	a	a	DET
brj-22443	111	6	modeling	modeling	NOUN
brj-22443	111	7	and	and	CCONJ
brj-22443	111	8	verification	verification	NOUN
brj-22443	111	9	approach	approach	NOUN
brj-22443	111	10	using	use	VERB
brj-22443	111	11	autoregressive	autoregressive	ADJ
brj-22443	111	12	exogenous	exogenous	ADJ
brj-22443	111	13	(	(	PUNCT
brj-22443	111	14	arx	arx	NOUN
brj-22443	111	15	)	)	PUNCT
brj-22443	111	16	models	model	NOUN
brj-22443	111	17	,	,	PUNCT
brj-22443	111	18	as	as	SCONJ
brj-22443	111	19	outlined	outline	VERB
brj-22443	111	20	by	by	ADP
brj-22443	111	21	ljung	ljung	PROPN
brj-22443	111	22	(	(	PUNCT
brj-22443	111	23	1999	1999	NUM
brj-22443	111	24	)	)	PUNCT
brj-22443	111	25	.	.	PUNCT
brj-22443	112	1	the	the	DET
brj-22443	112	2	process	process	NOUN
brj-22443	112	3	output	output	NOUN
brj-22443	112	4	y(t	y(t	PROPN
brj-22443	112	5	)	)	PUNCT
brj-22443	112	6	that	that	PRON
brj-22443	112	7	is	be	AUX
brj-22443	112	8	influenced	influence	VERB
brj-22443	112	9	by	by	ADP
brj-22443	112	10	i	i	PRON
brj-22443	112	11	different	different	ADJ
brj-22443	112	12	inputs	input	NOUN
brj-22443	112	13	,	,	PUNCT
brj-22443	112	14	(	(	PUNCT
brj-22443	112	15	u1x(t),u2x(t	u1x(t),u2x(t	PROPN
brj-22443	112	16	)	)	PUNCT
brj-22443	112	17	,	,	PUNCT
brj-22443	112	18	…	…	PUNCT
brj-22443	112	19	uix(t	uix(t	PROPN
brj-22443	112	20	)	)	PUNCT
brj-22443	112	21	)	)	PUNCT
brj-22443	112	22	,	,	PUNCT
brj-22443	112	23	can	can	AUX
brj-22443	112	24	be	be	AUX
brj-22443	112	25	written	write	VERB
brj-22443	112	26	in	in	ADP
brj-22443	112	27	the	the	DET
brj-22443	112	28	following	follow	VERB
brj-22443	112	29	form	form	NOUN
brj-22443	112	30	,	,	PUNCT
brj-22443	112	31	1	1	NUM
brj-22443	112	32	1	1	NUM
brj-22443	112	33	(	(	PUNCT
brj-22443	112	34	)	)	PUNCT
brj-22443	112	35	(	(	PUNCT
brj-22443	112	36	)	)	PUNCT
brj-22443	112	37	(	(	PUNCT
brj-22443	112	38	)	)	PUNCT
brj-22443	112	39	(	(	PUNCT
brj-22443	112	40	)	)	PUNCT
brj-22443	112	41	(	(	PUNCT
brj-22443	112	42	)	)	PUNCT
brj-22443	112	43	(	(	PUNCT
brj-22443	112	44	)	)	PUNCT
brj-22443	112	45	(	(	PUNCT
brj-22443	112	46	)	)	PUNCT
brj-22443	112	47	(	(	PUNCT
brj-22443	112	48	2)k	2)k	NUM
brj-22443	112	49	kn	kn	PROPN
brj-22443	112	50	n	n	NOUN
brj-22443	112	51	x	x	PROPN
brj-22443	112	52	i	i	NOUN
brj-22443	112	53	ixy	ixy	PROPN
brj-22443	112	54	t	t	PROPN
brj-22443	112	55	a	a	DET
brj-22443	112	56	q	q	X
brj-22443	112	57	q	q	X
brj-22443	112	58	b	b	X
brj-22443	112	59	q	q	X
brj-22443	112	60	u	u	NOUN
brj-22443	112	61	t	t	PROPN
brj-22443	112	62	q	q	PROPN
brj-22443	112	63	b	b	X
brj-22443	112	64	q	q	X
brj-22443	112	65	u	u	NOUN
brj-22443	112	66	t	t	X
brj-22443	112	67	e	e	NOUN
brj-22443	112	68	t	t	NOUN
brj-22443	112	69	=	=	PUNCT
brj-22443	113	1	+	+	PUNCT
brj-22443	114	1	+	+	NUM
brj-22443	114	2	+	+	ADJ
brj-22443	114	3	l	l	NOUN
brj-22443	114	4	(	(	PUNCT
brj-22443	114	5	2	2	NUM
brj-22443	114	6	)	)	PUNCT
brj-22443	114	7	where	where	SCONJ
brj-22443	114	8	a	a	PRON
brj-22443	114	9	and	and	CCONJ
brj-22443	114	10	bi	bi	NOUN
brj-22443	114	11	are	be	AUX
brj-22443	114	12	polynomials	polynomial	NOUN
brj-22443	114	13	in	in	ADP
brj-22443	114	14	the	the	DET
brj-22443	114	15	shift	shift	NOUN
brj-22443	114	16	operator	operator	NOUN
brj-22443	114	17	q	q	PROPN
brj-22443	114	18	and	and	CCONJ
brj-22443	114	19	e(t	e(t	PROPN
brj-22443	114	20	)	)	PUNCT
brj-22443	114	21	is	be	AUX
brj-22443	114	22	a	a	DET
brj-22443	114	23	white	white	ADJ
brj-22443	114	24	noise	noise	NOUN
brj-22443	114	25	term	term	NOUN
brj-22443	114	26	,	,	PUNCT
brj-22443	114	27	i.e.	i.e.	X
brj-22443	114	28	,	,	PUNCT
brj-22443	114	29	a	a	DET
brj-22443	114	30	direct	direct	ADJ
brj-22443	114	31	error	error	NOUN
brj-22443	114	32	in	in	ADP
brj-22443	114	33	the	the	DET
brj-22443	114	34	difference	difference	NOUN
brj-22443	114	35	equation	equation	NOUN
brj-22443	114	36	.	.	PUNCT
brj-22443	115	1	to	to	PART
brj-22443	115	2	fully	fully	ADV
brj-22443	115	3	understand	understand	VERB
brj-22443	115	4	eq	eq	ADP
brj-22443	115	5	.	.	PROPN
brj-22443	115	6	2	2	NUM
brj-22443	115	7	,	,	PUNCT
brj-22443	115	8	the	the	DET
brj-22443	115	9	delay	delay	NOUN
brj-22443	115	10	operator	operator	NOUN
brj-22443	115	11	is	be	AUX
brj-22443	115	12	also	also	ADV
brj-22443	115	13	included	include	VERB
brj-22443	115	14	,	,	PUNCT
brj-22443	115	15	as	as	SCONJ
brj-22443	115	16	the	the	DET
brj-22443	115	17	dynamics	dynamic	NOUN
brj-22443	115	18	(	(	PUNCT
brj-22443	115	19	from	from	ADP
brj-22443	115	20	u	u	PRON
brj-22443	115	21	to	to	ADP
brj-22443	115	22	y	y	PROPN
brj-22443	115	23	)	)	PUNCT
brj-22443	115	24	sometimes	sometimes	ADV
brj-22443	115	25	contain	contain	VERB
brj-22443	115	26	a	a	DET
brj-22443	115	27	delay	delay	NOUN
brj-22443	115	28	of	of	ADP
brj-22443	115	29	nk	nk	PROPN
brj-22443	115	30	samples	sample	NOUN
brj-22443	115	31	.	.	PUNCT
brj-22443	116	1	see	see	VERB
brj-22443	116	2	ljung	ljung	PROPN
brj-22443	116	3	(	(	PUNCT
brj-22443	116	4	1999	1999	NUM
brj-22443	116	5	)	)	PUNCT
brj-22443	116	6	for	for	ADP
brj-22443	116	7	details	detail	NOUN
brj-22443	116	8	.	.	PUNCT
brj-22443	117	1	however	however	ADV
brj-22443	117	2	,	,	PUNCT
brj-22443	117	3	the	the	DET
brj-22443	117	4	sampling	sampling	NOUN
brj-22443	117	5	in	in	ADP
brj-22443	117	6	u(t	u(t	NOUN
brj-22443	117	7	)	)	PUNCT
brj-22443	117	8	is	be	AUX
brj-22443	117	9	much	much	ADV
brj-22443	117	10	faster	fast	ADV
brj-22443	117	11	compared	compare	VERB
brj-22443	117	12	with	with	ADP
brj-22443	117	13	the	the	DET
brj-22443	117	14	sampling	sampling	NOUN
brj-22443	117	15	in	in	ADP
brj-22443	117	16	y(t	y(t	PROPN
brj-22443	117	17	)	)	PUNCT
brj-22443	117	18	,	,	PUNCT
brj-22443	117	19	which	which	PRON
brj-22443	117	20	means	mean	VERB
brj-22443	117	21	that	that	SCONJ
brj-22443	117	22	the	the	DET
brj-22443	117	23	delay	delay	NOUN
brj-22443	117	24	can	can	AUX
brj-22443	117	25	be	be	AUX
brj-22443	117	26	ignored	ignore	VERB
brj-22443	117	27	.	.	PUNCT
brj-22443	118	1	the	the	DET
brj-22443	118	2	arx	arx	PROPN
brj-22443	118	3	model	model	NOUN
brj-22443	118	4	in	in	ADP
brj-22443	118	5	eq	eq	PROPN
brj-22443	118	6	.	.	PROPN
brj-22443	118	7	2	2	NUM
brj-22443	118	8	describes	describe	VERB
brj-22443	118	9	both	both	CCONJ
brj-22443	118	10	the	the	DET
brj-22443	118	11	system	system	NOUN
brj-22443	118	12	dynamics	dynamic	NOUN
brj-22443	118	13	and	and	CCONJ
brj-22443	118	14	noise	noise	NOUN
brj-22443	118	15	properties	property	NOUN
brj-22443	118	16	using	use	VERB
brj-22443	118	17	the	the	DET
brj-22443	118	18	same	same	ADJ
brj-22443	118	19	set	set	NOUN
brj-22443	118	20	of	of	ADP
brj-22443	118	21	poles	pole	NOUN
brj-22443	118	22	.	.	PUNCT
brj-22443	119	1	the	the	DET
brj-22443	119	2	output	output	NOUN
brj-22443	119	3	y(t	y(t	PROPN
brj-22443	119	4	)	)	PUNCT
brj-22443	119	5	corresponds	correspond	VERB
brj-22443	119	6	to	to	ADP
brj-22443	119	7	the	the	DET
brj-22443	119	8	pulp	pulp	NOUN
brj-22443	119	9	property	property	NOUN
brj-22443	119	10	vector	vector	NOUN
brj-22443	119	11	described	describe	VERB
brj-22443	119	12	by	by	ADP
brj-22443	119	13	,	,	PUNCT
brj-22443	119	14	e.g.	e.g.	ADV
brj-22443	119	15	,	,	PUNCT
brj-22443	119	16	shives(wide	shives(wide	PROPN
brj-22443	119	17	)	)	PUNCT
brj-22443	119	18	and	and	CCONJ
brj-22443	119	19	fiber	fiber	NOUN
brj-22443	119	20	length	length	NOUN
brj-22443	119	21	.	.	PUNCT
brj-22443	120	1	all	all	DET
brj-22443	120	2	model	model	NOUN
brj-22443	120	3	parameters	parameter	NOUN
brj-22443	120	4	to	to	PART
brj-22443	120	5	be	be	AUX
brj-22443	120	6	identified	identify	VERB
brj-22443	120	7	can	can	AUX
brj-22443	120	8	be	be	AUX
brj-22443	120	9	gathered	gather	VERB
brj-22443	120	10	in	in	ADP
brj-22443	120	11	a	a	DET
brj-22443	120	12	column	column	NOUN
brj-22443	120	13	vector	vector	NOUN
brj-22443	120	14	(	(	PUNCT
brj-22443	120	15	see	see	VERB
brj-22443	120	16	eq	eq	ADP
brj-22443	120	17	.	.	PROPN
brj-22443	120	18	3	3	NUM
brj-22443	120	19	)	)	PUNCT
brj-22443	120	20	,	,	PUNCT
brj-22443	120	21	𝜃	𝜃	X
brj-22443	121	1	=	=	PUNCT
brj-22443	122	1	[	[	X
brj-22443	122	2	𝑎1⋯𝑎𝑛𝑎	𝑎1⋯𝑎𝑛𝑎	PROPN
brj-22443	122	3	𝑏𝑛,1⋯𝑏𝑖,𝑛𝑏𝑖	𝑏𝑛,1⋯𝑏𝑖,𝑛𝑏𝑖	PROPN
brj-22443	122	4	]	]	X
brj-22443	122	5	𝑇	𝑇	PROPN
brj-22443	122	6	(	(	PUNCT
brj-22443	122	7	3	3	NUM
brj-22443	122	8	)	)	PUNCT
brj-22443	122	9	where	where	SCONJ
brj-22443	122	10	na	na	ADP
brj-22443	122	11	,	,	PUNCT
brj-22443	122	12	nb1	nb1	NOUN
brj-22443	122	13	,	,	PUNCT
brj-22443	122	14	…	…	PUNCT
brj-22443	122	15	,	,	PUNCT
brj-22443	122	16	nbi	nbi	NOUN
brj-22443	122	17	are	be	AUX
brj-22443	122	18	the	the	DET
brj-22443	122	19	order	order	NOUN
brj-22443	122	20	of	of	ADP
brj-22443	122	21	the	the	DET
brj-22443	122	22	polynomials	polynomial	NOUN
brj-22443	122	23	a	a	PRON
brj-22443	122	24	,	,	PUNCT
brj-22443	122	25	b1	b1	NOUN
brj-22443	122	26	,	,	PUNCT
brj-22443	122	27	…	…	PUNCT
brj-22443	122	28	,	,	PUNCT
brj-22443	122	29	bn	bn	NOUN
brj-22443	122	30	,	,	PUNCT
brj-22443	122	31	respectively	respectively	ADV
brj-22443	122	32	.	.	PUNCT
brj-22443	123	1	in	in	ADP
brj-22443	123	2	this	this	DET
brj-22443	123	3	case	case	NOUN
brj-22443	123	4	the	the	DET
brj-22443	123	5	polynomials	polynomial	NOUN
brj-22443	123	6	a	a	PRON
brj-22443	123	7	has	have	VERB
brj-22443	123	8	the	the	DET
brj-22443	123	9	form	form	NOUN
brj-22443	123	10	:	:	PUNCT
brj-22443	123	11	1	1	NUM
brj-22443	123	12	2	2	NUM
brj-22443	123	13	1	1	NUM
brj-22443	123	14	2	2	NUM
brj-22443	123	15	(	(	PUNCT
brj-22443	123	16	)	)	PUNCT
brj-22443	123	17	1	1	NUM
brj-22443	123	18	(	(	PUNCT
brj-22443	123	19	4)a	4)a	PROPN
brj-22443	123	20	a	a	PRON
brj-22443	123	21	n	n	INTJ
brj-22443	123	22	na	na	ADP
brj-22443	123	23	q	q	NOUN
brj-22443	123	24	a	a	DET
brj-22443	123	25	q	q	NOUN
brj-22443	123	26	a	a	DET
brj-22443	123	27	q	q	NOUN
brj-22443	123	28	a	a	DET
brj-22443	123	29	q	q	NOUN
brj-22443	123	30	--=	--=	PUNCT
brj-22443	123	31	+	+	PUNCT
brj-22443	124	1	+	+	PUNCT
brj-22443	125	1	+	+	NUM
brj-22443	125	2	+	+	ADJ
brj-22443	125	3	l	l	NOUN
brj-22443	125	4	(	(	PUNCT
brj-22443	125	5	4	4	X
brj-22443	125	6	)	)	PUNCT
brj-22443	125	7	the	the	DET
brj-22443	125	8	parameters	parameter	NOUN
brj-22443	125	9	of	of	ADP
brj-22443	125	10	vector	vector	NOUN
brj-22443	125	11	θ	θ	PROPN
brj-22443	125	12	are	be	AUX
brj-22443	125	13	determined	determine	VERB
brj-22443	125	14	using	use	VERB
brj-22443	125	15	model	model	NOUN
brj-22443	125	16	prediction	prediction	NOUN
brj-22443	125	17	errors	error	NOUN
brj-22443	125	18	that	that	PRON
brj-22443	125	19	are	be	AUX
brj-22443	125	20	taken	take	VERB
brj-22443	125	21	as	as	ADP
brj-22443	125	22	the	the	DET
brj-22443	125	23	difference	difference	NOUN
brj-22443	125	24	between	between	ADP
brj-22443	125	25	the	the	DET
brj-22443	125	26	predicted	predict	VERB
brj-22443	125	27	outputs	output	NOUN
brj-22443	125	28	,	,	PUNCT
brj-22443	125	29	often	often	ADV
brj-22443	125	30	denoted	denote	VERB
brj-22443	125	31	ŷ	ŷ	NUM
brj-22443	125	32	,	,	PUNCT
brj-22443	125	33	and	and	CCONJ
brj-22443	125	34	the	the	DET
brj-22443	125	35	measured	measure	VERB
brj-22443	125	36	output	output	NOUN
brj-22443	125	37	sequence	sequence	NOUN
brj-22443	125	38	ym	ym	PROPN
brj-22443	125	39	.	.	PUNCT
brj-22443	126	1	these	these	PRON
brj-22443	126	2	are	be	AUX
brj-22443	126	3	sampled	sample	VERB
brj-22443	126	4	together	together	ADV
brj-22443	126	5	with	with	ADP
brj-22443	126	6	the	the	DET
brj-22443	126	7	inputs	input	NOUN
brj-22443	126	8	when	when	SCONJ
brj-22443	126	9	acquiring	acquire	VERB
brj-22443	126	10	data	datum	NOUN
brj-22443	126	11	for	for	ADP
brj-22443	126	12	the	the	DET
brj-22443	126	13	identification	identification	NOUN
brj-22443	126	14	procedure	procedure	NOUN
brj-22443	126	15	.	.	PUNCT
brj-22443	127	1	a	a	DET
brj-22443	127	2	prediction	prediction	NOUN
brj-22443	127	3	error	error	NOUN
brj-22443	127	4	norm	norm	NOUN
brj-22443	127	5	,	,	PUNCT
brj-22443	127	6	for	for	ADP
brj-22443	127	7	example	example	NOUN
brj-22443	127	8	is	be	AUX
brj-22443	127	9	eq	eq	ADJ
brj-22443	127	10	.	.	PROPN
brj-22443	127	11	5	5	NUM
brj-22443	127	12	,	,	PUNCT
brj-22443	127	13	(	(	PUNCT
brj-22443	127	14	)	)	PUNCT
brj-22443	127	15	(	(	PUNCT
brj-22443	127	16	)	)	PUNCT
brj-22443	127	17	(	(	PUNCT
brj-22443	127	18	)	)	PUNCT
brj-22443	127	19	(	(	PUNCT
brj-22443	127	20	)	)	PUNCT
brj-22443	127	21	22	22	NUM
brj-22443	127	22	1	1	NUM
brj-22443	127	23	1	1	NUM
brj-22443	127	24	1	1	NUM
brj-22443	127	25	1	1	NUM
brj-22443	127	26	1	1	NUM
brj-22443	127	27	1	1	NUM
brj-22443	127	28	ˆ	ˆ	NOUN
brj-22443	127	29	(	(	PUNCT
brj-22443	127	30	5	5	NUM
brj-22443	127	31	)	)	SYM
brj-22443	127	32	2	2	NUM
brj-22443	127	33	2	2	NUM
brj-22443	127	34	n	n	ADP
brj-22443	127	35	n	n	CCONJ
brj-22443	127	36	n	n	PROPN
brj-22443	127	37	mt	mt	PROPN
brj-22443	127	38	t	t	PROPN
brj-22443	127	39	v	v	ADP
brj-22443	127	40	t	t	PROPN
brj-22443	127	41	y	y	PROPN
brj-22443	127	42	t	t	PROPN
brj-22443	127	43	y	y	PROPN
brj-22443	127	44	t	t	PROPN
brj-22443	127	45	n	n	CCONJ
brj-22443	127	46	n	n	NOUN
brj-22443	127	47	e	e	NOUN
brj-22443	127	48	=	=	PUNCT
brj-22443	127	49	=	=	SYM
brj-22443	127	50	=	=	PUNCT
brj-22443	127	51	=	=	PUNCT
brj-22443	127	52	-å	-å	SYM
brj-22443	127	53	å	å	X
brj-22443	127	54	(	(	PUNCT
brj-22443	127	55	5	5	NUM
brj-22443	127	56	)	)	PUNCT
brj-22443	127	57	will	will	AUX
brj-22443	127	58	be	be	AUX
brj-22443	127	59	minimized	minimize	VERB
brj-22443	127	60	and	and	CCONJ
brj-22443	127	61	,	,	PUNCT
brj-22443	127	62	obviously	obviously	ADV
brj-22443	127	63	,	,	PUNCT
brj-22443	127	64	a	a	DET
brj-22443	127	65	small	small	ADJ
brj-22443	127	66	value	value	NOUN
brj-22443	127	67	of	of	ADP
brj-22443	127	68	vn	vn	PROPN
brj-22443	127	69	should	should	AUX
brj-22443	127	70	correspond	correspond	VERB
brj-22443	127	71	to	to	ADP
brj-22443	127	72	a	a	DET
brj-22443	127	73	model	model	NOUN
brj-22443	127	74	with	with	ADP
brj-22443	127	75	high	high	ADJ
brj-22443	127	76	accuracy	accuracy	NOUN
brj-22443	127	77	in	in	ADP
brj-22443	127	78	the	the	DET
brj-22443	127	79	predictions	prediction	NOUN
brj-22443	127	80	.	.	PUNCT
brj-22443	128	1	as	as	SCONJ
brj-22443	128	2	indicated	indicate	VERB
brj-22443	128	3	in	in	ADP
brj-22443	128	4	fig	fig	NOUN
brj-22443	128	5	.	.	PUNCT
brj-22443	129	1	3	3	NUM
brj-22443	129	2	,	,	PUNCT
brj-22443	129	3	the	the	DET
brj-22443	129	4	box	box	NOUN
brj-22443	129	5	labeled	label	VERB
brj-22443	129	6	refining	refining	NOUN
brj-22443	129	7	model	model	NOUN
brj-22443	129	8	includes	include	VERB
brj-22443	129	9	both	both	DET
brj-22443	129	10	information	information	NOUN
brj-22443	129	11	from	from	ADP
brj-22443	129	12	the	the	DET
brj-22443	129	13	flat	flat	ADJ
brj-22443	129	14	zone	zone	NOUN
brj-22443	129	15	and	and	CCONJ
brj-22443	129	16	the	the	DET
brj-22443	129	17	conical	conical	NOUN
brj-22443	129	18	zone	zone	NOUN
brj-22443	129	19	when	when	SCONJ
brj-22443	129	20	estimating	estimate	VERB
brj-22443	129	21	the	the	DET
brj-22443	129	22	pulp	pulp	NOUN
brj-22443	129	23	properties	property	NOUN
brj-22443	129	24	.	.	PUNCT
brj-22443	130	1	peer	peer	NOUN
brj-22443	130	2	-	-	PUNCT
brj-22443	130	3	reviewed	review	VERB
brj-22443	130	4	article	article	NOUN
brj-22443	130	5	bioresources.com	bioresources.com	X
brj-22443	130	6	karlström	karlström	NOUN
brj-22443	130	7	et	et	PROPN
brj-22443	130	8	al	al	PROPN
brj-22443	130	9	.	.	PROPN
brj-22443	130	10	(	(	PUNCT
brj-22443	130	11	2023	2023	NUM
brj-22443	130	12	)	)	PUNCT
brj-22443	130	13	.	.	PUNCT
brj-22443	131	1	“	"	PUNCT
brj-22443	131	2	soft	soft	ADJ
brj-22443	131	3	sensors	sensor	NOUN
brj-22443	131	4	in	in	ADP
brj-22443	131	5	refining	refining	NOUN
brj-22443	131	6	,	,	PUNCT
brj-22443	131	7	”	"	PUNCT
brj-22443	131	8	bioresources	bioresource	NOUN
brj-22443	131	9	18(4	18(4	NUM
brj-22443	131	10	)	)	PUNCT
brj-22443	131	11	,	,	PUNCT
brj-22443	131	12	8163	8163	NUM
brj-22443	131	13	-	-	SYM
brj-22443	131	14	8186	8186	NUM
brj-22443	131	15	.	.	PUNCT
brj-22443	131	16	8169	8169	NUM
brj-22443	131	17	time	time	NOUN
brj-22443	131	18	variant	variant	NOUN
brj-22443	131	19	system	system	NOUN
brj-22443	131	20	large	large	ADJ
brj-22443	131	21	data	data	NOUN
brj-22443	131	22	sets	set	NOUN
brj-22443	131	23	are	be	AUX
brj-22443	131	24	important	important	ADJ
brj-22443	131	25	when	when	SCONJ
brj-22443	131	26	analyzing	analyze	VERB
brj-22443	131	27	industrial	industrial	ADJ
brj-22443	131	28	unit	unit	NOUN
brj-22443	131	29	operations	operation	NOUN
brj-22443	131	30	.	.	PUNCT
brj-22443	132	1	in	in	ADP
brj-22443	132	2	this	this	DET
brj-22443	132	3	article	article	NOUN
brj-22443	132	4	,	,	PUNCT
brj-22443	132	5	the	the	DET
brj-22443	132	6	process	process	NOUN
brj-22443	132	7	data	datum	NOUN
brj-22443	132	8	from	from	ADP
brj-22443	132	9	the	the	DET
brj-22443	132	10	refiner	refiner	NOUN
brj-22443	132	11	comes	come	VERB
brj-22443	132	12	from	from	ADP
brj-22443	132	13	two	two	NUM
brj-22443	132	14	periods	period	NOUN
brj-22443	132	15	of	of	ADP
brj-22443	132	16	more	more	ADJ
brj-22443	132	17	than	than	ADP
brj-22443	132	18	a	a	PRON
brj-22443	132	19	)	)	PUNCT
brj-22443	132	20	800	800	NUM
brj-22443	132	21	h	h	NOUN
brj-22443	132	22	for	for	ADP
brj-22443	132	23	training	train	VERB
brj-22443	132	24	the	the	DET
brj-22443	132	25	models	model	NOUN
brj-22443	132	26	and	and	CCONJ
brj-22443	132	27	b	b	X
brj-22443	132	28	)	)	PUNCT
brj-22443	132	29	1400	1400	NUM
brj-22443	132	30	h	h	NOUN
brj-22443	132	31	used	use	VERB
brj-22443	132	32	as	as	ADP
brj-22443	132	33	a	a	DET
brj-22443	132	34	validation	validation	NOUN
brj-22443	132	35	set	set	NOUN
brj-22443	132	36	.	.	PUNCT
brj-22443	133	1	these	these	DET
brj-22443	133	2	time	time	NOUN
brj-22443	133	3	series	series	PROPN
brj-22443	133	4	are	be	AUX
brj-22443	133	5	rather	rather	ADV
brj-22443	133	6	reliable	reliable	ADJ
brj-22443	133	7	from	from	ADP
brj-22443	133	8	a	a	DET
brj-22443	133	9	measurement	measurement	NOUN
brj-22443	133	10	perspective	perspective	NOUN
brj-22443	133	11	and	and	CCONJ
brj-22443	133	12	comprise	comprise	VERB
brj-22443	133	13	a	a	DET
brj-22443	133	14	sampled	sampled	ADJ
brj-22443	133	15	period	period	NOUN
brj-22443	133	16	with	with	ADP
brj-22443	133	17	few	few	ADJ
brj-22443	133	18	stops	stop	NOUN
brj-22443	133	19	.	.	PUNCT
brj-22443	134	1	the	the	DET
brj-22443	134	2	fiber	fiber	NOUN
brj-22443	134	3	residence	residence	NOUN
brj-22443	134	4	time	time	NOUN
brj-22443	134	5	inside	inside	ADP
brj-22443	134	6	the	the	DET
brj-22443	134	7	refining	refining	NOUN
brj-22443	134	8	zone	zone	NOUN
brj-22443	134	9	is	be	AUX
brj-22443	134	10	about	about	ADV
brj-22443	134	11	one	one	NUM
brj-22443	134	12	second	second	NOUN
brj-22443	134	13	.	.	PUNCT
brj-22443	135	1	it	it	PRON
brj-22443	135	2	is	be	AUX
brj-22443	135	3	possible	possible	ADJ
brj-22443	135	4	to	to	PART
brj-22443	135	5	follow	follow	VERB
brj-22443	135	6	this	this	DET
brj-22443	135	7	resolution	resolution	NOUN
brj-22443	135	8	by	by	ADP
brj-22443	135	9	measuring	measure	VERB
brj-22443	135	10	the	the	DET
brj-22443	135	11	temperature	temperature	NOUN
brj-22443	135	12	profile	profile	NOUN
brj-22443	135	13	inside	inside	ADP
brj-22443	135	14	the	the	DET
brj-22443	135	15	refining	refining	NOUN
brj-22443	135	16	zones	zone	NOUN
brj-22443	135	17	.	.	PUNCT
brj-22443	136	1	the	the	DET
brj-22443	136	2	actuators	actuator	NOUN
brj-22443	136	3	can	can	AUX
brj-22443	136	4	respond	respond	VERB
brj-22443	136	5	on	on	ADP
brj-22443	136	6	a	a	DET
brj-22443	136	7	30	30	NUM
brj-22443	136	8	s	s	NOUN
brj-22443	136	9	basis	basis	NOUN
brj-22443	136	10	,	,	PUNCT
brj-22443	136	11	which	which	PRON
brj-22443	136	12	means	mean	VERB
brj-22443	136	13	that	that	SCONJ
brj-22443	136	14	this	this	DET
brj-22443	136	15	dynamic	dynamic	ADJ
brj-22443	136	16	sets	set	VERB
brj-22443	136	17	the	the	DET
brj-22443	136	18	limit	limit	NOUN
brj-22443	136	19	for	for	ADP
brj-22443	136	20	how	how	SCONJ
brj-22443	136	21	to	to	PART
brj-22443	136	22	design	design	VERB
brj-22443	136	23	tctrl	tctrl	NOUN
brj-22443	136	24	and	and	CCONJ
brj-22443	136	25	cctrl	cctrl	NOUN
brj-22443	136	26	.	.	PUNCT
brj-22443	137	1	nevertheless	nevertheless	ADV
brj-22443	137	2	,	,	PUNCT
brj-22443	137	3	all	all	DET
brj-22443	137	4	data	datum	NOUN
brj-22443	137	5	sampled	sample	VERB
brj-22443	137	6	from	from	ADP
brj-22443	137	7	the	the	DET
brj-22443	137	8	refining	refining	NOUN
brj-22443	137	9	process	process	NOUN
brj-22443	137	10	in	in	ADP
brj-22443	137	11	this	this	DET
brj-22443	137	12	article	article	NOUN
brj-22443	137	13	have	have	VERB
brj-22443	137	14	a	a	DET
brj-22443	137	15	sampling	sample	VERB
brj-22443	137	16	rate	rate	NOUN
brj-22443	137	17	of	of	ADP
brj-22443	137	18	6	6	NUM
brj-22443	137	19	s.	s.	PROPN
brj-22443	137	20	one	one	NUM
brj-22443	137	21	obstacle	obstacle	NOUN
brj-22443	137	22	,	,	PUNCT
brj-22443	137	23	which	which	PRON
brj-22443	137	24	is	be	AUX
brj-22443	137	25	related	relate	VERB
brj-22443	137	26	to	to	ADP
brj-22443	137	27	the	the	DET
brj-22443	137	28	pulp	pulp	NOUN
brj-22443	137	29	property	property	NOUN
brj-22443	137	30	measurement	measurement	NOUN
brj-22443	137	31	device	device	NOUN
brj-22443	137	32	in	in	ADP
brj-22443	137	33	fig	fig	NOUN
brj-22443	137	34	.	.	PUNCT
brj-22443	138	1	4	4	NUM
brj-22443	138	2	,	,	PUNCT
brj-22443	138	3	is	be	AUX
brj-22443	138	4	that	that	SCONJ
brj-22443	138	5	the	the	DET
brj-22443	138	6	sampling	sample	VERB
brj-22443	138	7	rate	rate	NOUN
brj-22443	138	8	is	be	AUX
brj-22443	138	9	non	non	ADJ
brj-22443	138	10	-	-	ADJ
brj-22443	138	11	equidistant	equidistant	ADJ
brj-22443	138	12	within	within	ADP
brj-22443	138	13	an	an	DET
brj-22443	138	14	interval	interval	NOUN
brj-22443	138	15	of	of	ADP
brj-22443	138	16	15	15	NUM
brj-22443	138	17	to	to	PART
brj-22443	138	18	20	20	NUM
brj-22443	138	19	min	min	NOUN
brj-22443	138	20	.	.	PUNCT
brj-22443	139	1	this	this	PRON
brj-22443	139	2	causes	cause	VERB
brj-22443	139	3	uncertain	uncertain	ADJ
brj-22443	139	4	sampling	sampling	NOUN
brj-22443	139	5	delays	delay	NOUN
brj-22443	139	6	that	that	PRON
brj-22443	139	7	must	must	AUX
brj-22443	139	8	be	be	AUX
brj-22443	139	9	considered	consider	VERB
brj-22443	139	10	in	in	ADP
brj-22443	139	11	combination	combination	NOUN
brj-22443	139	12	with	with	ADP
brj-22443	139	13	the	the	DET
brj-22443	139	14	uncertainties	uncertainty	NOUN
brj-22443	139	15	in	in	ADP
brj-22443	139	16	the	the	DET
brj-22443	139	17	measurement	measurement	NOUN
brj-22443	139	18	device	device	NOUN
brj-22443	139	19	itself	itself	PRON
brj-22443	139	20	.	.	PUNCT
brj-22443	140	1	to	to	PART
brj-22443	140	2	overcome	overcome	VERB
brj-22443	140	3	some	some	PRON
brj-22443	140	4	of	of	ADP
brj-22443	140	5	the	the	DET
brj-22443	140	6	problems	problem	NOUN
brj-22443	140	7	,	,	PUNCT
brj-22443	140	8	the	the	DET
brj-22443	140	9	signal	signal	NOUN
brj-22443	140	10	can	can	AUX
brj-22443	140	11	be	be	AUX
brj-22443	140	12	resampled	resample	VERB
brj-22443	140	13	by	by	ADP
brj-22443	140	14	using	use	VERB
brj-22443	140	15	interpolation	interpolation	NOUN
brj-22443	140	16	.	.	PUNCT
brj-22443	141	1	this	this	DET
brj-22443	141	2	introduces	introduce	NOUN
brj-22443	141	3	,	,	PUNCT
brj-22443	141	4	however	however	ADV
brj-22443	141	5	,	,	PUNCT
brj-22443	141	6	an	an	DET
brj-22443	141	7	estimate	estimate	NOUN
brj-22443	141	8	based	base	VERB
brj-22443	141	9	on	on	ADP
brj-22443	141	10	a	a	DET
brj-22443	141	11	assumed	assume	VERB
brj-22443	141	12	equidistant	equidistant	ADJ
brj-22443	141	13	sampling	sampling	NOUN
brj-22443	141	14	rate	rate	NOUN
brj-22443	141	15	.	.	PUNCT
brj-22443	142	1	therefore	therefore	ADV
brj-22443	142	2	,	,	PUNCT
brj-22443	142	3	an	an	DET
brj-22443	142	4	alternative	alternative	NOUN
brj-22443	142	5	is	be	AUX
brj-22443	142	6	to	to	PART
brj-22443	142	7	use	use	VERB
brj-22443	142	8	the	the	DET
brj-22443	142	9	armax	armax	ADJ
brj-22443	142	10	structure	structure	NOUN
brj-22443	142	11	where	where	SCONJ
brj-22443	142	12	the	the	DET
brj-22443	142	13	equation	equation	NOUN
brj-22443	142	14	error	error	NOUN
brj-22443	142	15	is	be	AUX
brj-22443	142	16	introduced	introduce	VERB
brj-22443	142	17	as	as	ADP
brj-22443	142	18	a	a	DET
brj-22443	142	19	moving	move	VERB
brj-22443	142	20	average	average	NOUN
brj-22443	142	21	of	of	ADP
brj-22443	142	22	white	white	ADJ
brj-22443	142	23	noise	noise	NOUN
brj-22443	142	24	,	,	PUNCT
brj-22443	142	25	i.e.	i.e.	X
brj-22443	142	26	,	,	PUNCT
brj-22443	142	27	instead	instead	ADV
brj-22443	142	28	of	of	ADP
brj-22443	142	29	e(t	e(t	NOUN
brj-22443	142	30	)	)	PUNCT
brj-22443	142	31	in	in	ADP
brj-22443	142	32	eq	eq	ADP
brj-22443	142	33	.	.	PROPN
brj-22443	142	34	2	2	NUM
brj-22443	142	35	,	,	PUNCT
brj-22443	142	36	i.e.	i.e.	X
brj-22443	142	37	,	,	PUNCT
brj-22443	142	38	(	(	PUNCT
brj-22443	142	39	)	)	PUNCT
brj-22443	142	40	(	(	PUNCT
brj-22443	142	41	)	)	SYM
brj-22443	142	42	1	1	NUM
brj-22443	142	43	2	2	NUM
brj-22443	142	44	1	1	NUM
brj-22443	142	45	2	2	NUM
brj-22443	142	46	(	(	PUNCT
brj-22443	142	47	)	)	PUNCT
brj-22443	142	48	(	(	PUNCT
brj-22443	142	49	1	1	X
brj-22443	142	50	)	)	PUNCT
brj-22443	142	51	(	(	PUNCT
brj-22443	142	52	6)c	6)c	NOUN
brj-22443	142	53	c	c	PROPN
brj-22443	142	54	n	n	PROPN
brj-22443	142	55	nc	nc	PROPN
brj-22443	142	56	q	q	PROPN
brj-22443	143	1	e	e	PROPN
brj-22443	143	2	t	t	NOUN
brj-22443	143	3	c	c	NOUN
brj-22443	143	4	q	q	PROPN
brj-22443	143	5	c	c	NOUN
brj-22443	143	6	q	q	NOUN
brj-22443	143	7	c	c	NOUN
brj-22443	143	8	q	q	X
brj-22443	143	9	e	e	X
brj-22443	143	10	t	t	X
brj-22443	143	11	--=	--=	PUNCT
brj-22443	144	1	+	+	PUNCT
brj-22443	145	1	+	+	PUNCT
brj-22443	145	2	+	+	NUM
brj-22443	145	3	+	+	ADJ
brj-22443	145	4	l	l	NOUN
brj-22443	145	5	(	(	PUNCT
brj-22443	145	6	6	6	NUM
brj-22443	145	7	)	)	PUNCT
brj-22443	145	8	is	be	AUX
brj-22443	145	9	not	not	PART
brj-22443	145	10	an	an	DET
brj-22443	145	11	option	option	NOUN
brj-22443	145	12	,	,	PUNCT
brj-22443	145	13	see	see	VERB
brj-22443	145	14	further	further	ADJ
brj-22443	145	15	ljung	ljung	NOUN
brj-22443	145	16	(	(	PUNCT
brj-22443	145	17	1999	1999	NUM
brj-22443	145	18	)	)	PUNCT
brj-22443	145	19	.	.	PUNCT
brj-22443	146	1	an	an	DET
brj-22443	146	2	additional	additional	ADJ
brj-22443	146	3	shortcoming	shortcoming	NOUN
brj-22443	146	4	,	,	PUNCT
brj-22443	146	5	when	when	SCONJ
brj-22443	146	6	using	use	VERB
brj-22443	146	7	the	the	DET
brj-22443	146	8	measurement	measurement	NOUN
brj-22443	146	9	device	device	NOUN
brj-22443	146	10	after	after	ADP
brj-22443	146	11	the	the	DET
brj-22443	146	12	latency	latency	NOUN
brj-22443	146	13	chest	chest	NOUN
brj-22443	146	14	in	in	ADP
brj-22443	146	15	fig	fig	NOUN
brj-22443	146	16	.	.	PUNCT
brj-22443	146	17	4	4	NUM
brj-22443	146	18	to	to	PART
brj-22443	146	19	find	find	VERB
brj-22443	146	20	proper	proper	ADJ
brj-22443	146	21	models	model	NOUN
brj-22443	146	22	,	,	PUNCT
brj-22443	146	23	is	be	AUX
brj-22443	146	24	that	that	SCONJ
brj-22443	146	25	the	the	DET
brj-22443	146	26	latency	latency	NOUN
brj-22443	146	27	chest	chest	NOUN
brj-22443	146	28	itself	itself	PRON
brj-22443	146	29	introduces	introduce	VERB
brj-22443	146	30	an	an	DET
brj-22443	146	31	uncertainty	uncertainty	NOUN
brj-22443	146	32	.	.	PUNCT
brj-22443	147	1	fig	fig	NOUN
brj-22443	147	2	.	.	PUNCT
brj-22443	148	1	4	4	X
brj-22443	148	2	.	.	X
brj-22443	148	3	schematic	schematic	ADJ
brj-22443	148	4	drawing	drawing	NOUN
brj-22443	148	5	,	,	PUNCT
brj-22443	148	6	showing	show	VERB
brj-22443	148	7	the	the	DET
brj-22443	148	8	sampling	sampling	NOUN
brj-22443	148	9	points	point	NOUN
brj-22443	148	10	for	for	ADP
brj-22443	148	11	blow	blow	NOUN
brj-22443	148	12	-	-	PUNCT
brj-22443	148	13	line	line	NOUN
brj-22443	148	14	samples	sample	NOUN
brj-22443	148	15	and	and	CCONJ
brj-22443	148	16	the	the	DET
brj-22443	148	17	pulp	pulp	NOUN
brj-22443	148	18	property	property	NOUN
brj-22443	148	19	measurements	measurement	NOUN
brj-22443	148	20	after	after	ADP
brj-22443	148	21	the	the	DET
brj-22443	148	22	latency	latency	NOUN
brj-22443	148	23	chest	chest	NOUN
brj-22443	148	24	it	it	PRON
brj-22443	148	25	can	can	AUX
brj-22443	148	26	be	be	AUX
brj-22443	148	27	seen	see	VERB
brj-22443	148	28	as	as	ADP
brj-22443	148	29	a	a	DET
brj-22443	148	30	time	time	NOUN
brj-22443	148	31	-	-	PUNCT
brj-22443	148	32	variant	variant	NOUN
brj-22443	148	33	system	system	NOUN
brj-22443	148	34	serially	serially	ADV
brj-22443	148	35	linked	link	VERB
brj-22443	148	36	to	to	ADP
brj-22443	148	37	the	the	DET
brj-22443	148	38	refiner	refiner	NOUN
brj-22443	148	39	and	and	CCONJ
brj-22443	148	40	all	all	DET
brj-22443	148	41	these	these	DET
brj-22443	148	42	challenges	challenge	NOUN
brj-22443	148	43	introduce	introduce	VERB
brj-22443	148	44	many	many	ADJ
brj-22443	148	45	uncertainties	uncertainty	NOUN
brj-22443	148	46	and	and	CCONJ
brj-22443	148	47	we	we	PRON
brj-22443	148	48	can	can	AUX
brj-22443	148	49	not	not	PART
brj-22443	148	50	expect	expect	VERB
brj-22443	148	51	to	to	PART
brj-22443	148	52	get	get	VERB
brj-22443	148	53	a	a	DET
brj-22443	148	54	perfect	perfect	ADJ
brj-22443	148	55	model	model	NOUN
brj-22443	148	56	fit	fit	ADJ
brj-22443	148	57	with	with	ADP
brj-22443	148	58	this	this	DET
brj-22443	148	59	set	set	VERB
brj-22443	148	60	up	up	ADP
brj-22443	148	61	(	(	PUNCT
brj-22443	148	62	sund	sund	PROPN
brj-22443	148	63	et	et	PROPN
brj-22443	148	64	al	al	PROPN
brj-22443	148	65	.	.	PROPN
brj-22443	148	66	2021	2021	NUM
brj-22443	148	67	)	)	PUNCT
brj-22443	148	68	.	.	PUNCT
brj-22443	149	1	however	however	ADV
brj-22443	149	2	,	,	PUNCT
brj-22443	149	3	known	known	ADJ
brj-22443	149	4	uncertainties	uncertainty	NOUN
brj-22443	149	5	must	must	AUX
brj-22443	149	6	be	be	AUX
brj-22443	149	7	suppressed	suppress	VERB
brj-22443	149	8	.	.	PUNCT
brj-22443	150	1	in	in	ADP
brj-22443	150	2	this	this	DET
brj-22443	150	3	paper	paper	NOUN
brj-22443	150	4	the	the	DET
brj-22443	150	5	method	method	NOUN
brj-22443	150	6	is	be	AUX
brj-22443	150	7	straightforward	straightforward	ADJ
brj-22443	150	8	.	.	PUNCT
brj-22443	151	1	the	the	DET
brj-22443	151	2	idea	idea	NOUN
brj-22443	151	3	is	be	AUX
brj-22443	151	4	to	to	PART
brj-22443	151	5	reject	reject	VERB
brj-22443	151	6	all	all	DET
brj-22443	151	7	data	datum	NOUN
brj-22443	151	8	where	where	SCONJ
brj-22443	151	9	the	the	DET
brj-22443	151	10	outputs	output	NOUN
brj-22443	151	11	to	to	PART
brj-22443	151	12	be	be	AUX
brj-22443	151	13	predicted	predict	VERB
brj-22443	151	14	are	be	AUX
brj-22443	151	15	constant	constant	ADJ
brj-22443	151	16	over	over	ADP
brj-22443	151	17	a	a	DET
brj-22443	151	18	longer	long	ADJ
brj-22443	151	19	period	period	NOUN
brj-22443	151	20	than	than	ADP
brj-22443	151	21	2000	2000	NUM
brj-22443	151	22	to	to	ADP
brj-22443	151	23	6000	6000	NUM
brj-22443	151	24	samples	sample	NOUN
brj-22443	151	25	,	,	PUNCT
brj-22443	151	26	which	which	PRON
brj-22443	151	27	corresponds	correspond	VERB
brj-22443	151	28	to	to	ADP
brj-22443	151	29	about	about	ADP
brj-22443	151	30	3	3	NUM
brj-22443	151	31	to	to	PART
brj-22443	151	32	10	10	NUM
brj-22443	151	33	h.	h.	NOUN
brj-22443	151	34	this	this	DET
brj-22443	151	35	precaution	precaution	NOUN
brj-22443	151	36	is	be	AUX
brj-22443	151	37	taken	take	VERB
brj-22443	151	38	as	as	ADP
brj-22443	151	39	measuring	measure	VERB
brj-22443	151	40	equipment	equipment	NOUN
brj-22443	151	41	faults	fault	NOUN
brj-22443	151	42	may	may	AUX
brj-22443	151	43	occur	occur	VERB
brj-22443	151	44	during	during	ADP
brj-22443	151	45	certain	certain	ADJ
brj-22443	151	46	periods	period	NOUN
brj-22443	151	47	.	.	PUNCT
brj-22443	152	1	the	the	DET
brj-22443	152	2	time	time	NOUN
brj-22443	152	3	series	series	PROPN
brj-22443	152	4	is	be	AUX
brj-22443	152	5	divided	divide	VERB
brj-22443	152	6	into	into	ADP
brj-22443	152	7	training	training	NOUN
brj-22443	152	8	and	and	CCONJ
brj-22443	152	9	validation	validation	NOUN
brj-22443	152	10	sets	set	NOUN
brj-22443	152	11	,	,	PUNCT
brj-22443	152	12	the	the	DET
brj-22443	152	13	parameters	parameter	NOUN
brj-22443	152	14	are	be	AUX
brj-22443	152	15	estimated	estimate	VERB
brj-22443	152	16	using	use	VERB
brj-22443	152	17	the	the	DET
brj-22443	152	18	training	training	NOUN
brj-22443	152	19	set	set	NOUN
brj-22443	152	20	,	,	PUNCT
brj-22443	152	21	and	and	CCONJ
brj-22443	152	22	some	some	PRON
brj-22443	152	23	of	of	ADP
brj-22443	152	24	the	the	DET
brj-22443	152	25	model	model	NOUN
brj-22443	152	26	alternatives	alternative	NOUN
brj-22443	152	27	are	be	AUX
brj-22443	152	28	compared	compare	VERB
brj-22443	152	29	on	on	ADP
brj-22443	152	30	the	the	DET
brj-22443	152	31	validation	validation	NOUN
brj-22443	152	32	set	set	NOUN
brj-22443	152	33	using	use	VERB
brj-22443	152	34	the	the	DET
brj-22443	152	35	coefficient	coefficient	NOUN
brj-22443	152	36	of	of	ADP
brj-22443	152	37	determination	determination	NOUN
brj-22443	152	38	(	(	PUNCT
brj-22443	152	39	r2	r2	NOUN
brj-22443	152	40	):	):	PUNCT
brj-22443	152	41	peer	peer	NOUN
brj-22443	152	42	-	-	PUNCT
brj-22443	152	43	reviewed	review	VERB
brj-22443	152	44	article	article	NOUN
brj-22443	152	45	bioresources.com	bioresources.com	X
brj-22443	152	46	karlström	karlström	NOUN
brj-22443	152	47	et	et	PROPN
brj-22443	152	48	al	al	PROPN
brj-22443	152	49	.	.	PROPN
brj-22443	153	1	(	(	PUNCT
brj-22443	153	2	2023	2023	NUM
brj-22443	153	3	)	)	PUNCT
brj-22443	153	4	.	.	PUNCT
brj-22443	154	1	“	"	PUNCT
brj-22443	154	2	soft	soft	ADJ
brj-22443	154	3	sensors	sensor	NOUN
brj-22443	154	4	in	in	ADP
brj-22443	154	5	refining	refining	NOUN
brj-22443	154	6	,	,	PUNCT
brj-22443	154	7	”	"	PUNCT
brj-22443	154	8	bioresources	bioresource	NOUN
brj-22443	154	9	18(4	18(4	NUM
brj-22443	154	10	)	)	PUNCT
brj-22443	154	11	,	,	PUNCT
brj-22443	154	12	8163	8163	NUM
brj-22443	154	13	-	-	SYM
brj-22443	154	14	8186	8186	NUM
brj-22443	154	15	.	.	PUNCT
brj-22443	155	1	8170	8170	NUM
brj-22443	155	2	(	(	PUNCT
brj-22443	155	3	7	7	X
brj-22443	155	4	)	)	PUNCT
brj-22443	155	5	here	here	ADV
brj-22443	155	6	represents	represent	VERB
brj-22443	155	7	the	the	DET
brj-22443	155	8	sum	sum	NOUN
brj-22443	155	9	of	of	ADP
brj-22443	155	10	the	the	DET
brj-22443	155	11	squared	square	VERB
brj-22443	155	12	residuals	residual	NOUN
brj-22443	155	13	from	from	ADP
brj-22443	155	14	the	the	DET
brj-22443	155	15	regression	regression	NOUN
brj-22443	155	16	while	while	SCONJ
brj-22443	155	17	denotes	denote	VERB
brj-22443	155	18	the	the	DET
brj-22443	155	19	sum	sum	NOUN
brj-22443	155	20	of	of	ADP
brj-22443	155	21	the	the	DET
brj-22443	155	22	squared	square	VERB
brj-22443	155	23	differences	difference	NOUN
brj-22443	155	24	from	from	ADP
brj-22443	155	25	the	the	DET
brj-22443	155	26	mean	mean	NOUN
brj-22443	155	27	of	of	ADP
brj-22443	155	28	the	the	DET
brj-22443	155	29	dependent	dependent	ADJ
brj-22443	155	30	variable	variable	NOUN
brj-22443	155	31	for	for	ADP
brj-22443	155	32	n	n	DET
brj-22443	155	33	observations	observation	NOUN
brj-22443	155	34	(	(	PUNCT
brj-22443	155	35	draper	draper	NOUN
brj-22443	155	36	and	and	CCONJ
brj-22443	155	37	smith	smith	NOUN
brj-22443	155	38	1998	1998	NUM
brj-22443	155	39	)	)	PUNCT
brj-22443	155	40	.	.	PUNCT
brj-22443	156	1	finally	finally	ADV
brj-22443	156	2	,	,	PUNCT
brj-22443	156	3	because	because	SCONJ
brj-22443	156	4	the	the	DET
brj-22443	156	5	goal	goal	NOUN
brj-22443	156	6	is	be	AUX
brj-22443	156	7	to	to	PART
brj-22443	156	8	derive	derive	VERB
brj-22443	156	9	an	an	DET
brj-22443	156	10	arx	arx	PROPN
brj-22443	156	11	model	model	NOUN
brj-22443	156	12	that	that	PRON
brj-22443	156	13	describes	describe	VERB
brj-22443	156	14	the	the	DET
brj-22443	156	15	process	process	NOUN
brj-22443	156	16	before	before	ADP
brj-22443	156	17	the	the	DET
brj-22443	156	18	latency	latency	NOUN
brj-22443	156	19	chest	chest	NOUN
brj-22443	156	20	,	,	PUNCT
brj-22443	156	21	i.e.	i.e.	X
brj-22443	156	22	,	,	PUNCT
brj-22443	156	23	in	in	ADP
brj-22443	156	24	the	the	DET
brj-22443	156	25	blow	blow	NOUN
brj-22443	156	26	-	-	PUNCT
brj-22443	156	27	line	line	NOUN
brj-22443	156	28	,	,	PUNCT
brj-22443	156	29	the	the	DET
brj-22443	156	30	low	low	ADJ
brj-22443	156	31	-	-	PUNCT
brj-22443	156	32	frequency	frequency	NOUN
brj-22443	156	33	gains	gain	NOUN
brj-22443	156	34	(	(	PUNCT
brj-22443	156	35	ki	ki	INTJ
brj-22443	156	36	)	)	PUNCT
brj-22443	156	37	obtained	obtain	VERB
brj-22443	156	38	from	from	ADP
brj-22443	156	39	the	the	DET
brj-22443	156	40	dynamic	dynamic	ADJ
brj-22443	156	41	models	model	NOUN
brj-22443	156	42	,	,	PUNCT
brj-22443	156	43	(	(	PUNCT
brj-22443	156	44	)	)	PUNCT
brj-22443	156	45	b	b	X
brj-22443	156	46	/	/	SYM
brj-22443	156	47	1	1	NUM
brj-22443	156	48	1	1	NUM
brj-22443	156	49	,	,	PUNCT
brj-22443	156	50	,	,	PUNCT
brj-22443	156	51	;	;	PUNCT
brj-22443	156	52	1	1	NUM
brj-22443	156	53	,	,	PUNCT
brj-22443	156	54	,	,	PUNCT
brj-22443	156	55	(	(	PUNCT
brj-22443	156	56	8)	8)	NUM
brj-22443	156	57	j	j	PROPN
brj-22443	157	1	j	j	PROPN
brj-22443	158	1	ji	ji	INTJ
brj-22443	159	1	i	i	PRON
brj-22443	159	2	m	m	PROPN
brj-22443	159	3	b	b	PROPN
brj-22443	159	4	ak	ak	PROPN
brj-22443	159	5	a	a	PROPN
brj-22443	159	6	i	i	PROPN
brj-22443	159	7	n	n	NOUN
brj-22443	159	8	m	m	VERB
brj-22443	159	9	n=	n=	ADJ
brj-22443	159	10	+	+	PUNCT
brj-22443	159	11	=	=	SYM
brj-22443	159	12	=	=	SYM
brj-22443	159	13	å	å	PROPN
brj-22443	159	14	k	k	X
brj-22443	159	15	k	k	X
brj-22443	159	16	(	(	PUNCT
brj-22443	159	17	8)	8)	NOUN
brj-22443	159	18	will	will	AUX
brj-22443	159	19	be	be	AUX
brj-22443	159	20	used	use	VERB
brj-22443	159	21	.	.	PUNCT
brj-22443	160	1	here	here	ADV
brj-22443	160	2	,	,	PUNCT
brj-22443	160	3	nb	nb	INTJ
brj-22443	160	4	represents	represent	VERB
brj-22443	160	5	the	the	DET
brj-22443	160	6	number	number	NOUN
brj-22443	160	7	of	of	ADP
brj-22443	160	8	predictors	predictor	NOUN
brj-22443	160	9	and	and	CCONJ
brj-22443	160	10	j	j	PROPN
brj-22443	160	11	represents	represent	VERB
brj-22443	160	12	the	the	DET
brj-22443	160	13	pulp	pulp	NOUN
brj-22443	160	14	property	property	NOUN
brj-22443	160	15	studied	study	VERB
brj-22443	160	16	while	while	SCONJ
brj-22443	160	17	na	na	NOUN
brj-22443	160	18	corresponds	correspond	VERB
brj-22443	160	19	to	to	ADP
brj-22443	160	20	the	the	DET
brj-22443	160	21	size	size	NOUN
brj-22443	160	22	of	of	ADP
brj-22443	160	23	the	the	DET
brj-22443	160	24	a	a	PRON
brj-22443	160	25	-	-	PUNCT
brj-22443	160	26	polynomial	polynomial	NOUN
brj-22443	160	27	in	in	ADP
brj-22443	160	28	eq	eq	NOUN
brj-22443	160	29	.	.	PROPN
brj-22443	160	30	4	4	X
brj-22443	160	31	.	.	X
brj-22443	160	32	thereby	thereby	ADV
brj-22443	160	33	,	,	PUNCT
brj-22443	160	34	the	the	DET
brj-22443	160	35	latency	latency	NOUN
brj-22443	160	36	chest	chest	NOUN
brj-22443	160	37	dynamics	dynamic	NOUN
brj-22443	160	38	can	can	AUX
brj-22443	160	39	be	be	AUX
brj-22443	160	40	suppressed	suppress	VERB
brj-22443	160	41	.	.	PUNCT
brj-22443	161	1	in	in	ADP
brj-22443	161	2	other	other	ADJ
brj-22443	161	3	words	word	NOUN
brj-22443	161	4	,	,	PUNCT
brj-22443	161	5	the	the	DET
brj-22443	161	6	dynamics	dynamic	NOUN
brj-22443	161	7	in	in	ADP
brj-22443	161	8	the	the	DET
brj-22443	161	9	latency	latency	NOUN
brj-22443	161	10	chest	chest	NOUN
brj-22443	161	11	as	as	ADV
brj-22443	161	12	well	well	ADV
brj-22443	161	13	as	as	ADP
brj-22443	161	14	the	the	DET
brj-22443	161	15	dynamics	dynamic	NOUN
brj-22443	161	16	in	in	ADP
brj-22443	161	17	the	the	DET
brj-22443	161	18	measurement	measurement	NOUN
brj-22443	161	19	device	device	NOUN
brj-22443	161	20	and	and	CCONJ
brj-22443	161	21	the	the	DET
brj-22443	161	22	noise	noise	NOUN
brj-22443	161	23	sequence	sequence	NOUN
brj-22443	161	24	are	be	AUX
brj-22443	161	25	ignored	ignore	VERB
brj-22443	161	26	.	.	PUNCT
brj-22443	162	1	this	this	PRON
brj-22443	162	2	also	also	ADV
brj-22443	162	3	makes	make	VERB
brj-22443	162	4	it	it	PRON
brj-22443	162	5	possible	possible	ADJ
brj-22443	162	6	to	to	PART
brj-22443	162	7	compare	compare	VERB
brj-22443	162	8	the	the	DET
brj-22443	162	9	steady	steady	ADJ
brj-22443	162	10	state	state	NOUN
brj-22443	162	11	gains	gain	NOUN
brj-22443	162	12	with	with	ADP
brj-22443	162	13	the	the	DET
brj-22443	162	14	parameters	parameter	NOUN
brj-22443	162	15	in	in	ADP
brj-22443	162	16	the	the	DET
brj-22443	162	17	multivariate	multivariate	NOUN
brj-22443	162	18	static	static	ADJ
brj-22443	162	19	models	model	NOUN
brj-22443	162	20	derived	derive	VERB
brj-22443	162	21	by	by	ADP
brj-22443	162	22	karlström	karlström	NOUN
brj-22443	162	23	and	and	CCONJ
brj-22443	162	24	hill	hill	PROPN
brj-22443	162	25	(	(	PUNCT
brj-22443	162	26	2017a	2017a	NUM
brj-22443	162	27	,	,	PUNCT
brj-22443	162	28	b	b	NOUN
brj-22443	162	29	,	,	PUNCT
brj-22443	162	30	c	c	NOUN
brj-22443	162	31	)	)	PUNCT
brj-22443	162	32	.	.	PUNCT
brj-22443	163	1	results	result	NOUN
brj-22443	163	2	and	and	CCONJ
brj-22443	163	3	discussion	discussion	NOUN
brj-22443	163	4	this	this	DET
brj-22443	163	5	section	section	NOUN
brj-22443	163	6	covers	cover	VERB
brj-22443	163	7	the	the	DET
brj-22443	163	8	results	result	NOUN
brj-22443	163	9	obtained	obtain	VERB
brj-22443	163	10	when	when	SCONJ
brj-22443	163	11	estimating	estimate	VERB
brj-22443	163	12	pulp	pulp	NOUN
brj-22443	163	13	properties	property	NOUN
brj-22443	163	14	associated	associate	VERB
brj-22443	163	15	with	with	ADP
brj-22443	163	16	the	the	DET
brj-22443	163	17	block	block	NOUN
brj-22443	163	18	describing	describe	VERB
brj-22443	163	19	the	the	DET
brj-22443	163	20	data	data	NOUN
brj-22443	163	21	-	-	PUNCT
brj-22443	163	22	driven	drive	VERB
brj-22443	163	23	soft	soft	ADJ
brj-22443	163	24	sensor	sensor	NOUN
brj-22443	163	25	in	in	ADP
brj-22443	163	26	fig	fig	NOUN
brj-22443	163	27	.	.	PUNCT
brj-22443	164	1	2	2	X
brj-22443	164	2	.	.	X
brj-22443	164	3	the	the	DET
brj-22443	164	4	focus	focus	NOUN
brj-22443	164	5	will	will	AUX
brj-22443	164	6	be	be	AUX
brj-22443	164	7	to	to	PART
brj-22443	164	8	derive	derive	VERB
brj-22443	164	9	soft	soft	ADJ
brj-22443	164	10	sensors	sensor	NOUN
brj-22443	164	11	with	with	ADP
brj-22443	164	12	a	a	DET
brj-22443	164	13	minimized	minimized	ADJ
brj-22443	164	14	set	set	NOUN
brj-22443	164	15	of	of	ADP
brj-22443	164	16	linear	linear	ADJ
brj-22443	164	17	independent	independent	ADJ
brj-22443	164	18	predictors	predictor	NOUN
brj-22443	164	19	.	.	PUNCT
brj-22443	165	1	as	as	SCONJ
brj-22443	165	2	indicated	indicate	VERB
brj-22443	165	3	in	in	ADP
brj-22443	165	4	the	the	DET
brj-22443	165	5	appendix	appendix	NOUN
brj-22443	165	6	,	,	PUNCT
brj-22443	165	7	the	the	DET
brj-22443	165	8	multicollinearities	multicollinearity	NOUN
brj-22443	165	9	,	,	PUNCT
brj-22443	165	10	which	which	PRON
brj-22443	165	11	are	be	AUX
brj-22443	165	12	detected	detect	VERB
brj-22443	165	13	by	by	ADP
brj-22443	165	14	using	use	VERB
brj-22443	165	15	the	the	DET
brj-22443	165	16	variance	variance	NOUN
brj-22443	165	17	inflation	inflation	NOUN
brj-22443	165	18	factors	factor	NOUN
brj-22443	165	19	(	(	PUNCT
brj-22443	165	20	vif	vif	NOUN
brj-22443	165	21	)	)	PUNCT
brj-22443	165	22	in	in	ADP
brj-22443	165	23	eq	eq	ADP
brj-22443	165	24	.	.	PROPN
brj-22443	165	25	1	1	NUM
brj-22443	165	26	,	,	PUNCT
brj-22443	165	27	are	be	AUX
brj-22443	165	28	minimized	minimize	VERB
brj-22443	165	29	if	if	SCONJ
brj-22443	165	30	the	the	DET
brj-22443	165	31	external	external	ADJ
brj-22443	165	32	variables	variable	NOUN
brj-22443	165	33	are	be	AUX
brj-22443	165	34	used	use	VERB
brj-22443	165	35	as	as	ADP
brj-22443	165	36	predictors	predictor	NOUN
brj-22443	165	37	.	.	PUNCT
brj-22443	166	1	if	if	SCONJ
brj-22443	166	2	internal	internal	ADJ
brj-22443	166	3	variables	variable	NOUN
brj-22443	166	4	are	be	AUX
brj-22443	166	5	included	include	VERB
brj-22443	166	6	as	as	ADP
brj-22443	166	7	predictors	predictor	NOUN
brj-22443	166	8	,	,	PUNCT
brj-22443	166	9	then	then	ADV
brj-22443	166	10	it	it	PRON
brj-22443	166	11	is	be	AUX
brj-22443	166	12	important	important	ADJ
brj-22443	166	13	to	to	PART
brj-22443	166	14	verify	verify	VERB
brj-22443	166	15	low	low	ADJ
brj-22443	166	16	interdependencies	interdependency	NOUN
brj-22443	166	17	between	between	ADP
brj-22443	166	18	the	the	DET
brj-22443	166	19	predictors	predictor	NOUN
brj-22443	166	20	,	,	PUNCT
brj-22443	166	21	as	as	SCONJ
brj-22443	166	22	outlined	outline	VERB
brj-22443	166	23	in	in	ADP
brj-22443	166	24	the	the	DET
brj-22443	166	25	appendix	appendix	NOUN
brj-22443	166	26	.	.	PUNCT
brj-22443	167	1	in	in	ADP
brj-22443	167	2	this	this	DET
brj-22443	167	3	section	section	NOUN
brj-22443	167	4	it	it	PRON
brj-22443	167	5	is	be	AUX
brj-22443	167	6	shown	show	VERB
brj-22443	167	7	that	that	SCONJ
brj-22443	167	8	some	some	DET
brj-22443	167	9	internal	internal	ADJ
brj-22443	167	10	variables	variable	NOUN
brj-22443	167	11	are	be	AUX
brj-22443	167	12	interesting	interesting	ADJ
brj-22443	167	13	to	to	PART
brj-22443	167	14	include	include	VERB
brj-22443	167	15	as	as	ADP
brj-22443	167	16	predictors	predictor	NOUN
brj-22443	167	17	.	.	PUNCT
brj-22443	168	1	this	this	PRON
brj-22443	168	2	does	do	AUX
brj-22443	168	3	not	not	PART
brj-22443	168	4	mean	mean	VERB
brj-22443	168	5	that	that	SCONJ
brj-22443	168	6	the	the	DET
brj-22443	168	7	model	model	NOUN
brj-22443	168	8	-	-	PUNCT
brj-22443	168	9	driven	drive	VERB
brj-22443	168	10	soft	soft	ADJ
brj-22443	168	11	sensor	sensor	NOUN
brj-22443	168	12	must	must	AUX
brj-22443	168	13	be	be	AUX
brj-22443	168	14	included	include	VERB
brj-22443	168	15	in	in	ADP
brj-22443	168	16	the	the	DET
brj-22443	168	17	model	model	NOUN
brj-22443	168	18	,	,	PUNCT
brj-22443	168	19	as	as	SCONJ
brj-22443	168	20	the	the	DET
brj-22443	168	21	temperature	temperature	NOUN
brj-22443	168	22	profile	profile	NOUN
brj-22443	168	23	can	can	AUX
brj-22443	168	24	be	be	AUX
brj-22443	168	25	used	use	VERB
brj-22443	168	26	without	without	ADP
brj-22443	168	27	the	the	DET
brj-22443	168	28	non	non	ADJ
brj-22443	168	29	-	-	ADJ
brj-22443	168	30	linear	linear	ADJ
brj-22443	168	31	model	model	NOUN
brj-22443	168	32	in	in	ADP
brj-22443	168	33	fig	fig	NOUN
brj-22443	168	34	.	.	PUNCT
brj-22443	169	1	2	2	X
brj-22443	169	2	.	.	X
brj-22443	169	3	in	in	ADP
brj-22443	169	4	contrast	contrast	NOUN
brj-22443	169	5	,	,	PUNCT
brj-22443	169	6	if	if	SCONJ
brj-22443	169	7	consistencies	consistency	NOUN
brj-22443	169	8	and/or	and/or	CCONJ
brj-22443	169	9	for	for	ADP
brj-22443	169	10	instance	instance	NOUN
brj-22443	169	11	the	the	DET
brj-22443	169	12	specific	specific	ADJ
brj-22443	169	13	energy	energy	NOUN
brj-22443	169	14	split	split	NOUN
brj-22443	169	15	between	between	ADP
brj-22443	169	16	fz	fz	NOUN
brj-22443	169	17	and	and	CCONJ
brj-22443	169	18	cd	cd	PROPN
brj-22443	169	19	will	will	AUX
brj-22443	169	20	be	be	AUX
brj-22443	169	21	used	use	VERB
brj-22443	169	22	to	to	PART
brj-22443	169	23	improve	improve	VERB
brj-22443	169	24	the	the	DET
brj-22443	169	25	model	model	NOUN
brj-22443	169	26	accuracy	accuracy	NOUN
brj-22443	169	27	,	,	PUNCT
brj-22443	169	28	then	then	ADV
brj-22443	169	29	internal	internal	ADJ
brj-22443	169	30	variables	variable	NOUN
brj-22443	169	31	derived	derive	VERB
brj-22443	169	32	from	from	ADP
brj-22443	169	33	the	the	DET
brj-22443	169	34	model	model	NOUN
brj-22443	169	35	-	-	PUNCT
brj-22443	169	36	driven	drive	VERB
brj-22443	169	37	soft	soft	ADJ
brj-22443	169	38	sensor	sensor	NOUN
brj-22443	169	39	must	must	AUX
brj-22443	169	40	be	be	AUX
brj-22443	169	41	included	include	VERB
brj-22443	169	42	as	as	ADV
brj-22443	169	43	well	well	ADV
brj-22443	169	44	.	.	PUNCT
brj-22443	170	1	there	there	PRON
brj-22443	170	2	is	be	VERB
brj-22443	170	3	motivation	motivation	NOUN
brj-22443	170	4	to	to	PART
brj-22443	170	5	use	use	VERB
brj-22443	170	6	low	low	ADJ
brj-22443	170	7	-	-	PUNCT
brj-22443	170	8	frequency	frequency	NOUN
brj-22443	170	9	gains	gain	NOUN
brj-22443	170	10	in	in	ADP
brj-22443	170	11	modeling	modeling	NOUN
brj-22443	170	12	:	:	PUNCT
brj-22443	170	13	as	as	SCONJ
brj-22443	170	14	concluded	conclude	VERB
brj-22443	170	15	by	by	ADP
brj-22443	170	16	karlström	karlström	PROPN
brj-22443	170	17	et	et	PROPN
brj-22443	170	18	al	al	PROPN
brj-22443	170	19	.	.	PROPN
brj-22443	171	1	(	(	PUNCT
brj-22443	171	2	2020	2020	NUM
brj-22443	171	3	)	)	PUNCT
brj-22443	171	4	,	,	PUNCT
brj-22443	171	5	the	the	DET
brj-22443	171	6	model	model	NOUN
brj-22443	171	7	accuracy	accuracy	NOUN
brj-22443	171	8	for	for	ADP
brj-22443	171	9	freeness	freeness	PROPN
brj-22443	171	10	(	(	PUNCT
brj-22443	171	11	i.e.	i.e.	X
brj-22443	171	12	,	,	PUNCT
brj-22443	171	13	the	the	DET
brj-22443	171	14	total	total	ADJ
brj-22443	171	15	volume	volume	NOUN
brj-22443	171	16	of	of	ADP
brj-22443	171	17	water	water	NOUN
brj-22443	171	18	discharged	discharge	VERB
brj-22443	171	19	from	from	ADP
brj-22443	171	20	a	a	DET
brj-22443	171	21	side	side	NOUN
brj-22443	171	22	orifice	orifice	NOUN
brj-22443	171	23	of	of	ADP
brj-22443	171	24	a	a	DET
brj-22443	171	25	specific	specific	ADJ
brj-22443	171	26	configuration	configuration	NOUN
brj-22443	171	27	while	while	SCONJ
brj-22443	171	28	the	the	DET
brj-22443	171	29	pulp	pulp	NOUN
brj-22443	171	30	suspension	suspension	NOUN
brj-22443	171	31	drains	drain	VERB
brj-22443	171	32	freely	freely	ADV
brj-22443	171	33	under	under	ADP
brj-22443	171	34	gravity	gravity	NOUN
brj-22443	171	35	)	)	PUNCT
brj-22443	172	1	is	be	AUX
brj-22443	172	2	unfortunately	unfortunately	ADV
brj-22443	172	3	not	not	PART
brj-22443	172	4	good	good	ADJ
brj-22443	172	5	enough	enough	ADV
brj-22443	172	6	,	,	PUNCT
brj-22443	172	7	as	as	SCONJ
brj-22443	172	8	the	the	DET
brj-22443	172	9	measures	measure	NOUN
brj-22443	172	10	need	need	VERB
brj-22443	172	11	repeatable	repeatable	ADJ
brj-22443	172	12	bias	bias	NOUN
brj-22443	172	13	compensations	compensation	NOUN
brj-22443	172	14	after	after	ADP
brj-22443	172	15	comparison	comparison	NOUN
brj-22443	172	16	with	with	ADP
brj-22443	172	17	laboratory	laboratory	NOUN
brj-22443	172	18	tests	test	NOUN
brj-22443	172	19	.	.	PUNCT
brj-22443	173	1	this	this	DET
brj-22443	173	2	procedure	procedure	NOUN
brj-22443	173	3	does	do	AUX
brj-22443	173	4	not	not	PART
brj-22443	173	5	ensure	ensure	VERB
brj-22443	173	6	the	the	DET
brj-22443	173	7	accuracy	accuracy	NOUN
brj-22443	173	8	in	in	ADP
brj-22443	173	9	the	the	DET
brj-22443	173	10	measurement	measurement	NOUN
brj-22443	173	11	of	of	ADP
brj-22443	173	12	the	the	DET
brj-22443	173	13	freeness	freeness	NOUN
brj-22443	173	14	.	.	PUNCT
brj-22443	174	1	although	although	SCONJ
brj-22443	174	2	such	such	ADJ
brj-22443	174	3	changes	change	NOUN
brj-22443	174	4	occurred	occur	VERB
brj-22443	174	5	during	during	ADP
brj-22443	174	6	the	the	DET
brj-22443	174	7	period	period	NOUN
brj-22443	174	8	described	describe	VERB
brj-22443	174	9	in	in	ADP
brj-22443	174	10	karlström	karlström	PROPN
brj-22443	174	11	et	et	PROPN
brj-22443	174	12	al	al	PROPN
brj-22443	174	13	.	.	PROPN
brj-22443	175	1	(	(	PUNCT
brj-22443	175	2	2020	2020	NUM
brj-22443	175	3	)	)	PUNCT
brj-22443	175	4	,	,	PUNCT
brj-22443	175	5	the	the	DET
brj-22443	175	6	estimation	estimation	NOUN
brj-22443	175	7	of	of	ADP
brj-22443	175	8	freeness	freeness	PROPN
brj-22443	175	9	failed	fail	VERB
brj-22443	175	10	completely	completely	ADV
brj-22443	175	11	.	.	PUNCT
brj-22443	176	1	this	this	PRON
brj-22443	176	2	might	might	AUX
brj-22443	176	3	be	be	AUX
brj-22443	176	4	the	the	DET
brj-22443	176	5	most	most	ADV
brj-22443	176	6	important	important	ADJ
brj-22443	176	7	contribution	contribution	NOUN
brj-22443	176	8	in	in	ADP
brj-22443	176	9	this	this	DET
brj-22443	176	10	article	article	NOUN
brj-22443	176	11	series	series	NOUN
brj-22443	176	12	,	,	PUNCT
brj-22443	176	13	because	because	SCONJ
brj-22443	176	14	freeness	freeness	PROPN
brj-22443	176	15	is	be	AUX
brj-22443	176	16	often	often	ADV
brj-22443	176	17	used	use	VERB
brj-22443	176	18	by	by	ADP
brj-22443	176	19	operators	operator	NOUN
brj-22443	176	20	as	as	ADP
brj-22443	176	21	a	a	DET
brj-22443	176	22	measure	measure	NOUN
brj-22443	176	23	for	for	ADP
brj-22443	176	24	manual	manual	ADJ
brj-22443	176	25	process	process	NOUN
brj-22443	176	26	control	control	NOUN
brj-22443	176	27	.	.	PUNCT
brj-22443	177	1	therefore	therefore	ADV
brj-22443	177	2	,	,	PUNCT
brj-22443	177	3	this	this	DET
brj-22443	177	4	paper	paper	NOUN
brj-22443	177	5	focused	focus	VERB
brj-22443	177	6	on	on	ADP
brj-22443	177	7	shives(wide	shives(wide	PROPN
brj-22443	177	8	)	)	PUNCT
brj-22443	177	9	and	and	CCONJ
brj-22443	177	10	fiber	fiber	NOUN
brj-22443	177	11	length	length	NOUN
brj-22443	177	12	as	as	ADP
brj-22443	177	13	the	the	DET
brj-22443	177	14	main	main	ADJ
brj-22443	177	15	pulp	pulp	NOUN
brj-22443	177	16	properties	property	NOUN
brj-22443	177	17	described	describe	VERB
brj-22443	177	18	by	by	ADP
brj-22443	177	19	eq	eq	PROPN
brj-22443	177	20	.	.	PROPN
brj-22443	177	21	2	2	X
brj-22443	177	22	.	.	PUNCT
brj-22443	178	1	the	the	DET
brj-22443	178	2	methodology	methodology	NOUN
brj-22443	178	3	is	be	AUX
brj-22443	178	4	outlined	outline	VERB
brj-22443	178	5	above	above	ADV
brj-22443	178	6	and	and	CCONJ
brj-22443	178	7	a	a	DET
brj-22443	178	8	deeper	deep	ADJ
brj-22443	178	9	discussion	discussion	NOUN
brj-22443	178	10	of	of	ADP
brj-22443	178	11	outlier	outlier	ADJ
brj-22443	178	12	rejection	rejection	NOUN
brj-22443	178	13	,	,	PUNCT
brj-22443	178	14	etc	etc	X
brj-22443	178	15	.	.	X
brj-22443	178	16	is	be	AUX
brj-22443	178	17	given	give	VERB
brj-22443	178	18	by	by	ADP
brj-22443	178	19	karlström	karlström	PROPN
brj-22443	178	20	et	et	PROPN
brj-22443	178	21	al	al	PROPN
brj-22443	178	22	.	.	PROPN
brj-22443	179	1	(	(	PUNCT
brj-22443	179	2	2020	2020	NUM
brj-22443	179	3	)	)	PUNCT
brj-22443	179	4	.	.	PUNCT
brj-22443	180	1	(	(	PUNCT
brj-22443	180	2	)	)	PUNCT
brj-22443	180	3	(	(	PUNCT
brj-22443	180	4	)	)	PUNCT
brj-22443	180	5	2	2	NUM
brj-22443	180	6	22	22	NUM
brj-22443	180	7	ˆ1	ˆ1	NOUN
brj-22443	180	8	1	1	NUM
brj-22443	180	9	,	,	PUNCT
brj-22443	180	10	,	,	PUNCT
brj-22443	180	11	(	(	PUNCT
brj-22443	180	12	7)i	7)i	PROPN
brj-22443	180	13	ir	ir	VERB
brj-22443	180	14	y	y	PROPN
brj-22443	180	15	y	y	PROPN
brj-22443	180	16	y	y	PROPN
brj-22443	180	17	y	y	PROPN
brj-22443	180	18	i	i	PRON
brj-22443	180	19	n=	n=	X
brj-22443	181	1	=	=	VERB
brj-22443	181	2	å	å	PROPN
brj-22443	181	3	å	å	PROPN
brj-22443	181	4	k	k	X
brj-22443	181	5	(	(	PUNCT
brj-22443	181	6	)	)	PUNCT
brj-22443	181	7	2	2	NUM
brj-22443	181	8	ˆ	ˆ	NOUN
brj-22443	181	9	iy	iy	PROPN
brj-22443	181	10	y	y	PROPN
brj-22443	181	11	-	-	PROPN
brj-22443	181	12	å	å	X
brj-22443	181	13	(	(	PUNCT
brj-22443	181	14	)	)	PUNCT
brj-22443	181	15	2	2	NUM
brj-22443	181	16	iy	iy	PROPN
brj-22443	181	17	y	y	PROPN
brj-22443	181	18	-	-	PROPN
brj-22443	181	19	å	å	NOUN
brj-22443	181	20	peer	peer	NOUN
brj-22443	181	21	-	-	PUNCT
brj-22443	181	22	reviewed	review	VERB
brj-22443	181	23	article	article	NOUN
brj-22443	181	24	bioresources.com	bioresources.com	X
brj-22443	181	25	karlström	karlström	NOUN
brj-22443	181	26	et	et	PROPN
brj-22443	181	27	al	al	PROPN
brj-22443	181	28	.	.	PROPN
brj-22443	181	29	(	(	PUNCT
brj-22443	181	30	2023	2023	NUM
brj-22443	181	31	)	)	PUNCT
brj-22443	181	32	.	.	PUNCT
brj-22443	182	1	“	"	PUNCT
brj-22443	182	2	soft	soft	ADJ
brj-22443	182	3	sensors	sensor	NOUN
brj-22443	182	4	in	in	ADP
brj-22443	182	5	refining	refining	NOUN
brj-22443	182	6	,	,	PUNCT
brj-22443	182	7	”	"	PUNCT
brj-22443	182	8	bioresources	bioresource	NOUN
brj-22443	182	9	18(4	18(4	NUM
brj-22443	182	10	)	)	PUNCT
brj-22443	182	11	,	,	PUNCT
brj-22443	182	12	8163	8163	NUM
brj-22443	182	13	-	-	SYM
brj-22443	182	14	8186	8186	NUM
brj-22443	182	15	.	.	PUNCT
brj-22443	183	1	8171	8171	NUM
brj-22443	183	2	karlström	karlström	NOUN
brj-22443	183	3	et	et	PROPN
brj-22443	183	4	al	al	PROPN
brj-22443	183	5	.	.	PROPN
brj-22443	183	6	(	(	PUNCT
brj-22443	183	7	2020	2020	NUM
brj-22443	183	8	)	)	PUNCT
brj-22443	183	9	showed	show	VERB
brj-22443	183	10	that	that	SCONJ
brj-22443	183	11	the	the	DET
brj-22443	183	12	filtering	filtering	NOUN
brj-22443	183	13	of	of	ADP
brj-22443	183	14	the	the	DET
brj-22443	183	15	estimates	estimate	NOUN
brj-22443	183	16	from	from	ADP
brj-22443	183	17	the	the	DET
brj-22443	183	18	dynamic	dynamic	ADJ
brj-22443	183	19	model	model	NOUN
brj-22443	183	20	was	be	AUX
brj-22443	183	21	considerable	considerable	ADJ
brj-22443	183	22	because	because	SCONJ
brj-22443	183	23	of	of	ADP
brj-22443	183	24	the	the	DET
brj-22443	183	25	dynamics	dynamic	NOUN
brj-22443	183	26	in	in	ADP
brj-22443	183	27	the	the	DET
brj-22443	183	28	latency	latency	NOUN
brj-22443	183	29	chest	chest	NOUN
brj-22443	183	30	and	and	CCONJ
brj-22443	183	31	“	"	PUNCT
brj-22443	183	32	sluggish	sluggish	ADJ
brj-22443	183	33	”	"	PUNCT
brj-22443	183	34	sampling	sample	VERB
brj-22443	183	35	in	in	ADP
brj-22443	183	36	the	the	DET
brj-22443	183	37	pulp	pulp	NOUN
brj-22443	183	38	measurement	measurement	NOUN
brj-22443	183	39	device	device	NOUN
brj-22443	183	40	corresponds	correspond	VERB
brj-22443	183	41	to	to	ADP
brj-22443	183	42	about	about	ADP
brj-22443	183	43	30	30	NUM
brj-22443	183	44	to	to	PART
brj-22443	183	45	40	40	NUM
brj-22443	183	46	min	min	NOUN
brj-22443	183	47	.	.	PUNCT
brj-22443	184	1	the	the	DET
brj-22443	184	2	fiber	fiber	NOUN
brj-22443	184	3	residence	residence	NOUN
brj-22443	184	4	time	time	NOUN
brj-22443	184	5	is	be	AUX
brj-22443	184	6	approximately	approximately	ADV
brj-22443	184	7	one	one	NUM
brj-22443	184	8	second	second	NOUN
brj-22443	184	9	in	in	ADP
brj-22443	184	10	the	the	DET
brj-22443	184	11	refiner	refiner	NOUN
brj-22443	184	12	,	,	PUNCT
brj-22443	184	13	while	while	SCONJ
brj-22443	184	14	normal	normal	ADJ
brj-22443	184	15	control	control	NOUN
brj-22443	184	16	actions	action	NOUN
brj-22443	184	17	,	,	PUNCT
brj-22443	184	18	related	relate	VERB
brj-22443	184	19	to	to	ADP
brj-22443	184	20	dynamics	dynamic	NOUN
brj-22443	184	21	in	in	ADP
brj-22443	184	22	actuators	actuator	NOUN
brj-22443	184	23	etc	etc	X
brj-22443	184	24	.	.	X
brj-22443	184	25	,	,	PUNCT
brj-22443	184	26	correspond	correspond	VERB
brj-22443	184	27	to	to	ADP
brj-22443	184	28	time	time	NOUN
brj-22443	184	29	constants	constant	NOUN
brj-22443	184	30	of	of	ADP
brj-22443	184	31	about	about	ADV
brj-22443	184	32	2	2	NUM
brj-22443	184	33	to	to	PART
brj-22443	184	34	3	3	NUM
brj-22443	184	35	min	min	NOUN
brj-22443	184	36	(	(	PUNCT
brj-22443	184	37	karlström	karlström	NOUN
brj-22443	184	38	et	et	PROPN
brj-22443	184	39	al	al	PROPN
brj-22443	184	40	.	.	PROPN
brj-22443	184	41	2020	2020	NUM
brj-22443	184	42	)	)	PUNCT
brj-22443	184	43	.	.	PUNCT
brj-22443	185	1	all	all	DET
brj-22443	185	2	this	this	PRON
brj-22443	185	3	means	mean	VERB
brj-22443	185	4	that	that	SCONJ
brj-22443	185	5	the	the	DET
brj-22443	185	6	sampling	sample	VERB
brj-22443	185	7	device	device	NOUN
brj-22443	185	8	after	after	SCONJ
brj-22443	185	9	the	the	DET
brj-22443	185	10	latency	latency	NOUN
brj-22443	185	11	chest	chest	NOUN
brj-22443	185	12	is	be	AUX
brj-22443	185	13	inappropriate	inappropriate	ADJ
brj-22443	185	14	for	for	ADP
brj-22443	185	15	use	use	NOUN
brj-22443	185	16	for	for	ADP
brj-22443	185	17	control	control	NOUN
brj-22443	185	18	actions	action	NOUN
brj-22443	185	19	.	.	PUNCT
brj-22443	186	1	this	this	PRON
brj-22443	186	2	is	be	AUX
brj-22443	186	3	strengthened	strengthen	VERB
brj-22443	186	4	by	by	ADP
brj-22443	186	5	studying	study	VERB
brj-22443	186	6	fig	fig	NOUN
brj-22443	186	7	.	.	PUNCT
brj-22443	187	1	5	5	NUM
brj-22443	187	2	,	,	PUNCT
brj-22443	187	3	where	where	SCONJ
brj-22443	187	4	the	the	DET
brj-22443	187	5	response	response	NOUN
brj-22443	187	6	from	from	ADP
brj-22443	187	7	a	a	DET
brj-22443	187	8	dynamic	dynamic	ADJ
brj-22443	187	9	model	model	NOUN
brj-22443	187	10	(	(	PUNCT
brj-22443	187	11	red	red	ADJ
brj-22443	187	12	line	line	NOUN
brj-22443	187	13	)	)	PUNCT
brj-22443	187	14	is	be	AUX
brj-22443	187	15	far	far	ADV
brj-22443	187	16	from	from	ADP
brj-22443	187	17	the	the	DET
brj-22443	187	18	dynamics	dynamic	NOUN
brj-22443	187	19	in	in	ADP
brj-22443	187	20	the	the	DET
brj-22443	187	21	refiner	refiner	NOUN
brj-22443	187	22	itself	itself	PRON
brj-22443	187	23	.	.	PUNCT
brj-22443	188	1	note	note	VERB
brj-22443	188	2	that	that	SCONJ
brj-22443	188	3	in	in	ADP
brj-22443	188	4	all	all	DET
brj-22443	188	5	figures	figure	NOUN
brj-22443	188	6	below	below	ADV
brj-22443	188	7	,	,	PUNCT
brj-22443	188	8	the	the	DET
brj-22443	188	9	detrended	detrende	VERB
brj-22443	188	10	process	process	NOUN
brj-22443	188	11	values	value	NOUN
brj-22443	188	12	(	(	PUNCT
brj-22443	188	13	mean	mean	VERB
brj-22443	188	14	values	value	NOUN
brj-22443	188	15	are	be	AUX
brj-22443	188	16	removed	remove	VERB
brj-22443	188	17	)	)	PUNCT
brj-22443	188	18	are	be	AUX
brj-22443	188	19	shown	show	VERB
brj-22443	188	20	instead	instead	ADV
brj-22443	188	21	of	of	ADP
brj-22443	188	22	the	the	DET
brj-22443	188	23	actual	actual	ADJ
brj-22443	188	24	measurements	measurement	NOUN
brj-22443	188	25	and	and	CCONJ
brj-22443	188	26	estimates	estimate	NOUN
brj-22443	188	27	.	.	PUNCT
brj-22443	189	1	fig	fig	NOUN
brj-22443	189	2	.	.	PUNCT
brj-22443	190	1	5	5	NUM
brj-22443	190	2	.	.	X
brj-22443	190	3	close	close	NOUN
brj-22443	190	4	-	-	PUNCT
brj-22443	190	5	up	up	NOUN
brj-22443	190	6	of	of	ADP
brj-22443	190	7	a	a	DET
brj-22443	190	8	response	response	NOUN
brj-22443	190	9	in	in	ADP
brj-22443	190	10	shives(wide	shives(wide	PROPN
brj-22443	190	11	)	)	PUNCT
brj-22443	190	12	caused	cause	VERB
brj-22443	190	13	by	by	ADP
brj-22443	190	14	changes	change	NOUN
brj-22443	190	15	in	in	ADP
brj-22443	190	16	the	the	DET
brj-22443	190	17	production	production	NOUN
brj-22443	190	18	.	.	PUNCT
brj-22443	191	1	the	the	DET
brj-22443	191	2	red	red	ADJ
brj-22443	191	3	line	line	NOUN
brj-22443	191	4	corresponds	correspond	VERB
brj-22443	191	5	to	to	ADP
brj-22443	191	6	the	the	DET
brj-22443	191	7	dynamic	dynamic	ADJ
brj-22443	191	8	model	model	NOUN
brj-22443	191	9	responses	response	NOUN
brj-22443	191	10	(	(	PUNCT
brj-22443	191	11	including	include	VERB
brj-22443	191	12	dynamics	dynamic	NOUN
brj-22443	191	13	in	in	ADP
brj-22443	191	14	latency	latency	NOUN
brj-22443	191	15	chest	chest	NOUN
brj-22443	191	16	and	and	CCONJ
brj-22443	191	17	measurement	measurement	NOUN
brj-22443	191	18	device	device	NOUN
brj-22443	191	19	)	)	PUNCT
brj-22443	191	20	.	.	PUNCT
brj-22443	192	1	the	the	DET
brj-22443	192	2	blue	blue	ADJ
brj-22443	192	3	line	line	NOUN
brj-22443	192	4	represents	represent	VERB
brj-22443	192	5	the	the	DET
brj-22443	192	6	static	static	ADJ
brj-22443	192	7	model	model	NOUN
brj-22443	192	8	response	response	NOUN
brj-22443	192	9	for	for	ADP
brj-22443	192	10	two	two	NUM
brj-22443	192	11	sets	set	NOUN
brj-22443	192	12	of	of	ADP
brj-22443	192	13	predictors	predictor	NOUN
brj-22443	192	14	,	,	PUNCT
brj-22443	192	15	see	see	VERB
brj-22443	192	16	legend	legend	NOUN
brj-22443	192	17	in	in	ADP
brj-22443	192	18	a	a	PRON
brj-22443	192	19	)	)	PUNCT
brj-22443	192	20	and	and	CCONJ
brj-22443	192	21	b	b	X
brj-22443	192	22	)	)	PUNCT
brj-22443	192	23	.	.	PUNCT
brj-22443	193	1	the	the	DET
brj-22443	193	2	black	black	ADJ
brj-22443	193	3	line	line	NOUN
brj-22443	193	4	represents	represent	VERB
brj-22443	193	5	the	the	DET
brj-22443	193	6	measured	measured	ADJ
brj-22443	193	7	pulp	pulp	NOUN
brj-22443	193	8	property	property	NOUN
brj-22443	193	9	after	after	ADP
brj-22443	193	10	the	the	DET
brj-22443	193	11	latency	latency	NOUN
brj-22443	193	12	chest	chest	NOUN
brj-22443	193	13	.	.	PUNCT
brj-22443	194	1	through	through	ADP
brj-22443	194	2	using	use	VERB
brj-22443	194	3	the	the	DET
brj-22443	194	4	low	low	ADJ
brj-22443	194	5	-	-	PUNCT
brj-22443	194	6	frequency	frequency	NOUN
brj-22443	194	7	gains	gain	NOUN
brj-22443	194	8	(	(	PUNCT
brj-22443	194	9	see	see	VERB
brj-22443	194	10	response	response	NOUN
brj-22443	194	11	in	in	ADP
brj-22443	194	12	fig	fig	NOUN
brj-22443	194	13	.	.	PUNCT
brj-22443	195	1	5a	5a	NUM
brj-22443	195	2	(	(	PUNCT
brj-22443	195	3	blue	blue	ADJ
brj-22443	195	4	line	line	NOUN
brj-22443	195	5	)	)	PUNCT
brj-22443	195	6	)	)	PUNCT
brj-22443	195	7	,	,	PUNCT
brj-22443	195	8	the	the	DET
brj-22443	195	9	time	time	NOUN
brj-22443	195	10	constant	constant	ADJ
brj-22443	195	11	and	and	CCONJ
brj-22443	195	12	the	the	DET
brj-22443	195	13	delays	delay	NOUN
brj-22443	195	14	in	in	ADP
brj-22443	195	15	the	the	DET
brj-22443	195	16	latency	latency	NOUN
brj-22443	195	17	chest	chest	NOUN
brj-22443	195	18	and	and	CCONJ
brj-22443	195	19	measurement	measurement	NOUN
brj-22443	195	20	device	device	NOUN
brj-22443	195	21	can	can	AUX
brj-22443	195	22	be	be	AUX
brj-22443	195	23	ignored	ignore	VERB
brj-22443	195	24	.	.	PUNCT
brj-22443	196	1	a	a	DET
brj-22443	196	2	closer	close	ADJ
brj-22443	196	3	analysis	analysis	NOUN
brj-22443	196	4	indicates	indicate	VERB
brj-22443	196	5	that	that	SCONJ
brj-22443	196	6	direction	direction	NOUN
brj-22443	196	7	-	-	PUNCT
brj-22443	196	8	dependent	dependent	ADJ
brj-22443	196	9	dynamics	dynamic	NOUN
brj-22443	196	10	were	be	AUX
brj-22443	196	11	present	present	ADJ
brj-22443	196	12	.	.	PUNCT
brj-22443	197	1	the	the	DET
brj-22443	197	2	settling	settle	VERB
brj-22443	197	3	time	time	NOUN
brj-22443	197	4	varied	varied	ADJ
brj-22443	197	5	between	between	ADP
brj-22443	197	6	90	90	NUM
brj-22443	197	7	to	to	PART
brj-22443	197	8	120	120	NUM
brj-22443	197	9	min	min	NOUN
brj-22443	197	10	.	.	PROPN
brj-22443	197	11	in	in	ADP
brj-22443	197	12	the	the	DET
brj-22443	197	13	main	main	ADJ
brj-22443	197	14	text	text	NOUN
brj-22443	197	15	,	,	PUNCT
brj-22443	197	16	the	the	DET
brj-22443	197	17	time	time	NOUN
brj-22443	197	18	constant	constant	ADJ
brj-22443	197	19	is	be	AUX
brj-22443	197	20	assumed	assume	VERB
brj-22443	197	21	to	to	PART
brj-22443	197	22	be	be	AUX
brj-22443	197	23	30	30	NUM
brj-22443	197	24	to	to	PART
brj-22443	197	25	40	40	NUM
brj-22443	197	26	min	min	NOUN
brj-22443	197	27	,	,	PUNCT
brj-22443	197	28	which	which	PRON
brj-22443	197	29	is	be	AUX
brj-22443	197	30	a	a	DET
brj-22443	197	31	conservative	conservative	ADJ
brj-22443	197	32	assumption	assumption	NOUN
brj-22443	197	33	motivated	motivate	VERB
brj-22443	197	34	when	when	SCONJ
brj-22443	197	35	the	the	DET
brj-22443	197	36	latency	latency	NOUN
brj-22443	197	37	chest	chest	NOUN
brj-22443	197	38	volume	volume	NOUN
brj-22443	197	39	is	be	AUX
brj-22443	197	40	less	less	ADJ
brj-22443	197	41	than	than	ADP
brj-22443	197	42	50	50	NUM
brj-22443	197	43	%	%	NOUN
brj-22443	197	44	of	of	ADP
brj-22443	197	45	its	its	PRON
brj-22443	197	46	capacity	capacity	NOUN
brj-22443	197	47	.	.	PUNCT
brj-22443	198	1	it	it	PRON
brj-22443	198	2	is	be	AUX
brj-22443	198	3	also	also	ADV
brj-22443	198	4	important	important	ADJ
brj-22443	198	5	to	to	PART
brj-22443	198	6	mention	mention	VERB
brj-22443	198	7	that	that	SCONJ
brj-22443	198	8	the	the	DET
brj-22443	198	9	consistency	consistency	NOUN
brj-22443	198	10	in	in	ADP
brj-22443	198	11	the	the	DET
brj-22443	198	12	latency	latency	NOUN
brj-22443	198	13	chest	chest	NOUN
brj-22443	198	14	can	can	AUX
brj-22443	198	15	vary	vary	VERB
brj-22443	198	16	,	,	PUNCT
brj-22443	198	17	which	which	PRON
brj-22443	198	18	of	of	ADP
brj-22443	198	19	course	course	NOUN
brj-22443	198	20	affects	affect	VERB
brj-22443	198	21	the	the	DET
brj-22443	198	22	measurement	measurement	NOUN
brj-22443	198	23	accuracy	accuracy	NOUN
brj-22443	198	24	as	as	ADV
brj-22443	198	25	well	well	ADV
brj-22443	198	26	.	.	PUNCT
brj-22443	199	1	this	this	PRON
brj-22443	199	2	is	be	AUX
brj-22443	199	3	unfortunately	unfortunately	ADV
brj-22443	199	4	often	often	ADV
brj-22443	199	5	overlooked	overlook	VERB
brj-22443	199	6	in	in	ADP
brj-22443	199	7	the	the	DET
brj-22443	199	8	literature	literature	NOUN
brj-22443	199	9	.	.	PUNCT
brj-22443	200	1	it	it	PRON
brj-22443	200	2	can	can	AUX
brj-22443	200	3	be	be	AUX
brj-22443	200	4	concluded	conclude	VERB
brj-22443	200	5	that	that	SCONJ
brj-22443	200	6	this	this	DET
brj-22443	200	7	introduces	introduce	VERB
brj-22443	200	8	a	a	DET
brj-22443	200	9	peer	peer	NOUN
brj-22443	200	10	-	-	PUNCT
brj-22443	200	11	reviewed	review	VERB
brj-22443	200	12	article	article	NOUN
brj-22443	200	13	bioresources.com	bioresources.com	X
brj-22443	200	14	karlström	karlström	NOUN
brj-22443	200	15	et	et	PROPN
brj-22443	200	16	al	al	PROPN
brj-22443	200	17	.	.	PROPN
brj-22443	201	1	(	(	PUNCT
brj-22443	201	2	2023	2023	NUM
brj-22443	201	3	)	)	PUNCT
brj-22443	201	4	.	.	PUNCT
brj-22443	202	1	“	"	PUNCT
brj-22443	202	2	soft	soft	ADJ
brj-22443	202	3	sensors	sensor	NOUN
brj-22443	202	4	in	in	ADP
brj-22443	202	5	refining	refining	NOUN
brj-22443	202	6	,	,	PUNCT
brj-22443	202	7	”	"	PUNCT
brj-22443	202	8	bioresources	bioresource	NOUN
brj-22443	202	9	18(4	18(4	NUM
brj-22443	202	10	)	)	PUNCT
brj-22443	202	11	,	,	PUNCT
brj-22443	202	12	8163	8163	NUM
brj-22443	202	13	-	-	SYM
brj-22443	202	14	8186	8186	NUM
brj-22443	202	15	.	.	PUNCT
brj-22443	203	1	8172	8172	NUM
brj-22443	203	2	tool	tool	NOUN
brj-22443	203	3	for	for	ADP
brj-22443	203	4	pulp	pulp	NOUN
brj-22443	203	5	quality	quality	NOUN
brj-22443	203	6	control	control	NOUN
brj-22443	203	7	that	that	PRON
brj-22443	203	8	compares	compare	VERB
brj-22443	203	9	the	the	DET
brj-22443	203	10	estimates	estimate	NOUN
brj-22443	203	11	with	with	ADP
brj-22443	203	12	samples	sample	NOUN
brj-22443	203	13	taken	take	VERB
brj-22443	203	14	directly	directly	ADV
brj-22443	203	15	in	in	ADP
brj-22443	203	16	the	the	DET
brj-22443	203	17	blow	blow	NOUN
brj-22443	203	18	-	-	PUNCT
brj-22443	203	19	line	line	NOUN
brj-22443	203	20	.	.	PUNCT
brj-22443	204	1	it	it	PRON
brj-22443	204	2	is	be	AUX
brj-22443	204	3	also	also	ADV
brj-22443	204	4	worth	worth	ADJ
brj-22443	204	5	mentioning	mention	VERB
brj-22443	204	6	that	that	SCONJ
brj-22443	204	7	additional	additional	ADJ
brj-22443	204	8	predictors	predictor	NOUN
brj-22443	204	9	,	,	PUNCT
brj-22443	204	10	in	in	ADP
brj-22443	204	11	terms	term	NOUN
brj-22443	204	12	of	of	ADP
brj-22443	204	13	internal	internal	ADJ
brj-22443	204	14	variables	variable	NOUN
brj-22443	204	15	in	in	ADP
brj-22443	204	16	fig	fig	NOUN
brj-22443	204	17	.	.	PUNCT
brj-22443	205	1	5b	5b	NUM
brj-22443	205	2	,	,	PUNCT
brj-22443	205	3	normally	normally	ADV
brj-22443	205	4	add	add	VERB
brj-22443	205	5	information	information	NOUN
brj-22443	205	6	about	about	ADP
brj-22443	205	7	overshoots	overshoot	NOUN
brj-22443	205	8	in	in	ADP
brj-22443	205	9	the	the	DET
brj-22443	205	10	responses	response	NOUN
brj-22443	205	11	.	.	PUNCT
brj-22443	206	1	training	training	NOUN
brj-22443	206	2	sets	set	VERB
brj-22443	206	3	the	the	DET
brj-22443	206	4	principles	principle	NOUN
brj-22443	206	5	used	use	VERB
brj-22443	206	6	when	when	SCONJ
brj-22443	206	7	training	training	NOUN
brj-22443	206	8	models	model	NOUN
brj-22443	206	9	were	be	AUX
brj-22443	206	10	outlined	outline	VERB
brj-22443	206	11	by	by	ADP
brj-22443	206	12	karlström	karlström	PROPN
brj-22443	206	13	et	et	PROPN
brj-22443	206	14	al	al	PROPN
brj-22443	206	15	.	.	PROPN
brj-22443	207	1	(	(	PUNCT
brj-22443	207	2	2020	2020	NUM
brj-22443	207	3	)	)	PUNCT
brj-22443	207	4	,	,	PUNCT
brj-22443	207	5	and	and	CCONJ
brj-22443	207	6	here	here	ADV
brj-22443	207	7	the	the	DET
brj-22443	207	8	focus	focus	NOUN
brj-22443	207	9	is	be	AUX
brj-22443	207	10	on	on	ADP
brj-22443	207	11	the	the	DET
brj-22443	207	12	external	external	ADJ
brj-22443	207	13	inputs	input	NOUN
brj-22443	207	14	:	:	PUNCT
brj-22443	207	15	specific	specific	ADJ
brj-22443	207	16	energy	energy	NOUN
brj-22443	207	17	(	(	PUNCT
brj-22443	207	18	spe	spe	PROPN
brj-22443	207	19	)	)	PUNCT
brj-22443	207	20	,	,	PUNCT
brj-22443	207	21	the	the	DET
brj-22443	207	22	amount	amount	NOUN
brj-22443	207	23	of	of	ADP
brj-22443	207	24	sawmill	sawmill	NOUN
brj-22443	207	25	chips	chip	NOUN
brj-22443	207	26	(	(	PUNCT
brj-22443	207	27	chipq	chipq	NOUN
brj-22443	207	28	)	)	PUNCT
brj-22443	207	29	,	,	PUNCT
brj-22443	207	30	plate	plate	NOUN
brj-22443	207	31	gaps	gap	NOUN
brj-22443	207	32	(	(	PUNCT
brj-22443	207	33	gapfz	gapfz	NOUN
brj-22443	207	34	,	,	PUNCT
brj-22443	207	35	gapcd	gapcd	NOUN
brj-22443	207	36	)	)	PUNCT
brj-22443	207	37	,	,	PUNCT
brj-22443	207	38	and	and	CCONJ
brj-22443	207	39	dilution	dilution	NOUN
brj-22443	207	40	water	water	NOUN
brj-22443	207	41	added	add	VERB
brj-22443	207	42	to	to	ADP
brj-22443	207	43	each	each	DET
brj-22443	207	44	refining	refining	NOUN
brj-22443	207	45	zone	zone	NOUN
brj-22443	207	46	(	(	PUNCT
brj-22443	207	47	dilfz	dilfz	ADJ
brj-22443	207	48	,	,	PUNCT
brj-22443	207	49	dilcd	dilcd	NOUN
brj-22443	207	50	)	)	PUNCT
brj-22443	207	51	.	.	PUNCT
brj-22443	208	1	the	the	DET
brj-22443	208	2	internal	internal	ADJ
brj-22443	208	3	variables	variable	NOUN
brj-22443	208	4	,	,	PUNCT
brj-22443	208	5	inlet	inlet	VERB
brj-22443	208	6	temperature	temperature	NOUN
brj-22443	208	7	in	in	ADP
brj-22443	208	8	fz	fz	PROPN
brj-22443	208	9	(	(	PUNCT
brj-22443	208	10	tinit	tinit	NOUN
brj-22443	208	11	)	)	PUNCT
brj-22443	208	12	,	,	PUNCT
brj-22443	208	13	maximum	maximum	ADJ
brj-22443	208	14	temperature	temperature	NOUN
brj-22443	208	15	in	in	ADP
brj-22443	208	16	fz	fz	PROPN
brj-22443	208	17	(	(	PUNCT
brj-22443	208	18	tmaxfz	tmaxfz	PROPN
brj-22443	208	19	)	)	PUNCT
brj-22443	208	20	,	,	PUNCT
brj-22443	208	21	periphery	periphery	NOUN
brj-22443	208	22	temperature	temperature	NOUN
brj-22443	208	23	in	in	ADP
brj-22443	208	24	cd	cd	PROPN
brj-22443	208	25	(	(	PUNCT
brj-22443	208	26	tcd(per	tcd(per	NUM
brj-22443	208	27	)	)	PUNCT
brj-22443	208	28	)	)	PUNCT
brj-22443	208	29	,	,	PUNCT
brj-22443	208	30	and	and	CCONJ
brj-22443	208	31	the	the	DET
brj-22443	208	32	specific	specific	ADJ
brj-22443	208	33	energy	energy	NOUN
brj-22443	208	34	in	in	ADP
brj-22443	208	35	the	the	DET
brj-22443	208	36	fz	fz	NOUN
brj-22443	208	37	and	and	CCONJ
brj-22443	208	38	cd	cd	PROPN
brj-22443	208	39	,	,	PUNCT
brj-22443	208	40	will	will	AUX
brj-22443	208	41	be	be	AUX
brj-22443	208	42	studied	study	VERB
brj-22443	208	43	as	as	ADV
brj-22443	208	44	well	well	ADV
brj-22443	208	45	.	.	PUNCT
brj-22443	209	1	karlström	karlström	NOUN
brj-22443	209	2	et	et	PROPN
brj-22443	209	3	al	al	PROPN
brj-22443	209	4	.	.	PROPN
brj-22443	209	5	(	(	PUNCT
brj-22443	209	6	2020	2020	NUM
brj-22443	209	7	)	)	PUNCT
brj-22443	209	8	concluded	conclude	VERB
brj-22443	209	9	that	that	SCONJ
brj-22443	209	10	it	it	PRON
brj-22443	209	11	is	be	AUX
brj-22443	209	12	important	important	ADJ
brj-22443	209	13	to	to	PART
brj-22443	209	14	include	include	VERB
brj-22443	209	15	the	the	DET
brj-22443	209	16	total	total	ADJ
brj-22443	209	17	specific	specific	ADJ
brj-22443	209	18	energy	energy	NOUN
brj-22443	209	19	(	(	PUNCT
brj-22443	209	20	spe	spe	PROPN
brj-22443	209	21	)	)	PUNCT
brj-22443	209	22	and	and	CCONJ
brj-22443	209	23	the	the	DET
brj-22443	209	24	amount	amount	NOUN
brj-22443	209	25	of	of	ADP
brj-22443	209	26	sawmill	sawmill	NOUN
brj-22443	209	27	chips	chip	NOUN
brj-22443	209	28	(	(	PUNCT
brj-22443	209	29	chipq	chipq	NOUN
brj-22443	209	30	)	)	PUNCT
brj-22443	209	31	in	in	ADP
brj-22443	209	32	all	all	DET
brj-22443	209	33	models	model	NOUN
brj-22443	209	34	for	for	ADP
brj-22443	209	35	shives(wide	shives(wide	NOUN
brj-22443	209	36	)	)	PUNCT
brj-22443	209	37	and	and	CCONJ
brj-22443	209	38	fiber	fiber	NOUN
brj-22443	209	39	length	length	NOUN
brj-22443	209	40	.	.	PUNCT
brj-22443	210	1	this	this	DET
brj-22443	210	2	assumption	assumption	NOUN
brj-22443	210	3	is	be	AUX
brj-22443	210	4	used	use	VERB
brj-22443	210	5	in	in	ADP
brj-22443	210	6	this	this	DET
brj-22443	210	7	paper	paper	NOUN
brj-22443	210	8	as	as	ADV
brj-22443	210	9	well	well	ADV
brj-22443	210	10	although	although	SCONJ
brj-22443	210	11	this	this	DET
brj-22443	210	12	statement	statement	NOUN
brj-22443	210	13	is	be	AUX
brj-22443	210	14	not	not	PART
brj-22443	210	15	obvious	obvious	ADJ
brj-22443	210	16	when	when	SCONJ
brj-22443	210	17	studying	study	VERB
brj-22443	210	18	table	table	NOUN
brj-22443	210	19	1	1	NUM
brj-22443	210	20	.	.	PUNCT
brj-22443	210	21	table	table	NOUN
brj-22443	210	22	1	1	NUM
brj-22443	210	23	.	.	PUNCT
brj-22443	211	1	mean	mean	VERB
brj-22443	211	2	square	square	ADJ
brj-22443	211	3	error	error	NOUN
brj-22443	211	4	ratios	ratio	NOUN
brj-22443	211	5	for	for	ADP
brj-22443	211	6	different	different	ADJ
brj-22443	211	7	models	model	NOUN
brj-22443	211	8	for	for	ADP
brj-22443	211	9	shives(wide	shives(wide	NOUN
brj-22443	211	10	)	)	PUNCT
brj-22443	211	11	and	and	CCONJ
brj-22443	211	12	fiber	fiber	NOUN
brj-22443	211	13	length	length	NOUN
brj-22443	211	14	shives(wide	shives(wide	PROPN
brj-22443	211	15	)	)	PUNCT
brj-22443	212	1	=	=	SYM
brj-22443	212	2	f(predictors	f(predictor	NOUN
brj-22443	212	3	)	)	PUNCT
brj-22443	212	4	mse	mse	PROPN
brj-22443	212	5	/	/	SYM
brj-22443	212	6	max	max	PROPN
brj-22443	212	7	(	(	PUNCT
brj-22443	212	8	mse(spe	mse(spe	PROPN
brj-22443	212	9	)	)	PUNCT
brj-22443	212	10	)	)	PUNCT
brj-22443	213	1	spe	spe	PROPN
brj-22443	213	2	spe	spe	PROPN
brj-22443	213	3	(	(	PUNCT
brj-22443	213	4	fz	fz	PROPN
brj-22443	213	5	)	)	PUNCT
brj-22443	213	6	spe	spe	PROPN
brj-22443	213	7	(	(	PUNCT
brj-22443	213	8	cd	cd	NOUN
brj-22443	213	9	)	)	PUNCT
brj-22443	213	10	dilfz	dilfz	ADJ
brj-22443	213	11	dilcd	dilcd	NOUN
brj-22443	213	12	gapfz	gapfz	NOUN
brj-22443	213	13	gapcd	gapcd	NOUN
brj-22443	213	14	chip	chip	NOUN
brj-22443	213	15	q	q	PROPN
brj-22443	213	16	tinit	tinit	PROPN
brj-22443	213	17	tmax	tmax	ADP
brj-22443	213	18	(	(	PUNCT
brj-22443	213	19	fz	fz	NOUN
brj-22443	213	20	)	)	PUNCT
brj-22443	213	21	tcd	tcd	NOUN
brj-22443	213	22	(	(	PUNCT
brj-22443	213	23	periphery	periphery	NOUN
brj-22443	213	24	)	)	PUNCT
brj-22443	213	25	1	1	NUM
brj-22443	213	26	x	x	SYM
brj-22443	213	27	x	x	PUNCT
brj-22443	213	28	x	x	X
brj-22443	213	29	0.993	0.993	NUM
brj-22443	213	30	x	x	SYM
brj-22443	213	31	x	x	PUNCT
brj-22443	213	32	x	x	X
brj-22443	213	33	0.97	0.97	NUM
brj-22443	213	34	x	x	SYM
brj-22443	213	35	x	x	PUNCT
brj-22443	213	36	x	x	PUNCT
brj-22443	213	37	x	x	X
brj-22443	213	38	0.97	0.97	NUM
brj-22443	213	39	x	x	SYM
brj-22443	213	40	x	x	PUNCT
brj-22443	213	41	x	x	PUNCT
brj-22443	213	42	x	x	PUNCT
brj-22443	213	43	x	x	SYM
brj-22443	213	44	0.912	0.912	NUM
brj-22443	213	45	x	x	SYM
brj-22443	213	46	x	x	PUNCT
brj-22443	213	47	x	x	PUNCT
brj-22443	213	48	x	x	PUNCT
brj-22443	213	49	x	x	PUNCT
brj-22443	213	50	x	x	X
brj-22443	213	51	0.899	0.899	NUM
brj-22443	213	52	x	x	SYM
brj-22443	213	53	x	x	PUNCT
brj-22443	213	54	x	x	PUNCT
brj-22443	213	55	x	x	PUNCT
brj-22443	213	56	x	x	SYM
brj-22443	213	57	x	x	X
brj-22443	213	58	0.917	0.917	NUM
brj-22443	213	59	x	x	SYM
brj-22443	213	60	x	x	PUNCT
brj-22443	213	61	x	x	PUNCT
brj-22443	213	62	x	x	PUNCT
brj-22443	213	63	x	x	PUNCT
brj-22443	213	64	x	x	PUNCT
brj-22443	213	65	x	x	PUNCT
brj-22443	213	66	x	x	X
brj-22443	213	67	x	x	X
brj-22443	213	68	0.919	0.919	NUM
brj-22443	213	69	x	x	SYM
brj-22443	213	70	x	x	PUNCT
brj-22443	213	71	x	x	PUNCT
brj-22443	213	72	x	x	PUNCT
brj-22443	213	73	x	x	PUNCT
brj-22443	213	74	x	x	PUNCT
brj-22443	213	75	x	x	PUNCT
brj-22443	213	76	x	x	SYM
brj-22443	213	77	x	x	SYM
brj-22443	213	78	x	x	SYM
brj-22443	213	79	shives(wide	shives(wide	PROPN
brj-22443	213	80	)	)	PUNCT
brj-22443	213	81	=	=	SYM
brj-22443	213	82	f(predictors	f(predictor	NOUN
brj-22443	213	83	)	)	PUNCT
brj-22443	213	84	mse	mse	PROPN
brj-22443	213	85	/	/	SYM
brj-22443	213	86	max	max	PROPN
brj-22443	213	87	(	(	PUNCT
brj-22443	213	88	mse(spe	mse(spe	PROPN
brj-22443	213	89	)	)	PUNCT
brj-22443	213	90	)	)	PUNCT
brj-22443	214	1	spe	spe	PROPN
brj-22443	214	2	spe	spe	PROPN
brj-22443	214	3	(	(	PUNCT
brj-22443	214	4	fz	fz	PROPN
brj-22443	214	5	)	)	PUNCT
brj-22443	214	6	spe	spe	PROPN
brj-22443	214	7	(	(	PUNCT
brj-22443	214	8	cd	cd	NOUN
brj-22443	214	9	)	)	PUNCT
brj-22443	214	10	dilfz	dilfz	ADJ
brj-22443	214	11	dilcd	dilcd	NOUN
brj-22443	214	12	gapfz	gapfz	NOUN
brj-22443	214	13	gapcd	gapcd	NOUN
brj-22443	214	14	chip	chip	NOUN
brj-22443	214	15	q	q	PROPN
brj-22443	214	16	tinit	tinit	PROPN
brj-22443	214	17	tmax	tmax	ADP
brj-22443	214	18	(	(	PUNCT
brj-22443	214	19	fz	fz	NOUN
brj-22443	214	20	)	)	PUNCT
brj-22443	214	21	tcd	tcd	NOUN
brj-22443	214	22	(	(	PUNCT
brj-22443	214	23	periphery	periphery	NOUN
brj-22443	214	24	)	)	PUNCT
brj-22443	214	25	1	1	NUM
brj-22443	214	26	x	x	SYM
brj-22443	214	27	0.985	0.985	NUM
brj-22443	214	28	x	x	SYM
brj-22443	214	29	x	x	X
brj-22443	214	30	0.934	0.934	NUM
brj-22443	214	31	x	x	SYM
brj-22443	214	32	x	x	PUNCT
brj-22443	214	33	x	x	X
brj-22443	214	34	0.887	0.887	NUM
brj-22443	214	35	x	x	SYM
brj-22443	214	36	x	x	PUNCT
brj-22443	214	37	x	x	X
brj-22443	214	38	x	x	X
brj-22443	214	39	0.842	0.842	NUM
brj-22443	214	40	x	x	SYM
brj-22443	214	41	x	x	PUNCT
brj-22443	214	42	x	x	PUNCT
brj-22443	214	43	x	x	PUNCT
brj-22443	214	44	x	x	SYM
brj-22443	214	45	0.836	0.836	NUM
brj-22443	214	46	x	x	SYM
brj-22443	214	47	x	x	PUNCT
brj-22443	214	48	x	x	PUNCT
brj-22443	214	49	x	x	X
brj-22443	214	50	0.844	0.844	NUM
brj-22443	214	51	x	x	X
brj-22443	214	52	x	x	PUNCT
brj-22443	214	53	x	x	PUNCT
brj-22443	214	54	x	x	PUNCT
brj-22443	214	55	x	x	PUNCT
brj-22443	214	56	x	x	X
brj-22443	214	57	0.826	0.826	NUM
brj-22443	214	58	x	x	SYM
brj-22443	214	59	x	x	PUNCT
brj-22443	214	60	x	x	PUNCT
brj-22443	214	61	x	x	PUNCT
brj-22443	214	62	x	x	PUNCT
brj-22443	214	63	x	x	PUNCT
brj-22443	214	64	x	x	PUNCT
brj-22443	214	65	x	x	PUNCT
brj-22443	214	66	x	x	X
brj-22443	214	67	0.821	0.821	NUM
brj-22443	214	68	x	x	SYM
brj-22443	214	69	x	x	PUNCT
brj-22443	214	70	x	x	PUNCT
brj-22443	214	71	x	x	PUNCT
brj-22443	214	72	x	x	PUNCT
brj-22443	214	73	x	x	PUNCT
brj-22443	214	74	x	x	PUNCT
brj-22443	214	75	x	x	SYM
brj-22443	214	76	x	x	SYM
brj-22443	214	77	x	x	VERB
brj-22443	214	78	peer	peer	NOUN
brj-22443	214	79	-	-	PUNCT
brj-22443	214	80	reviewed	review	VERB
brj-22443	214	81	article	article	NOUN
brj-22443	214	82	bioresources.com	bioresources.com	X
brj-22443	214	83	karlström	karlström	NOUN
brj-22443	214	84	et	et	PROPN
brj-22443	214	85	al	al	PROPN
brj-22443	214	86	.	.	PROPN
brj-22443	215	1	(	(	PUNCT
brj-22443	215	2	2023	2023	NUM
brj-22443	215	3	)	)	PUNCT
brj-22443	215	4	.	.	PUNCT
brj-22443	216	1	“	"	PUNCT
brj-22443	216	2	soft	soft	ADJ
brj-22443	216	3	sensors	sensor	NOUN
brj-22443	216	4	in	in	ADP
brj-22443	216	5	refining	refining	NOUN
brj-22443	216	6	,	,	PUNCT
brj-22443	216	7	”	"	PUNCT
brj-22443	216	8	bioresources	bioresource	NOUN
brj-22443	216	9	18(4	18(4	NUM
brj-22443	216	10	)	)	PUNCT
brj-22443	216	11	,	,	PUNCT
brj-22443	216	12	8163	8163	NUM
brj-22443	216	13	-	-	SYM
brj-22443	216	14	8186	8186	NUM
brj-22443	216	15	.	.	PUNCT
brj-22443	217	1	8173	8173	NUM
brj-22443	217	2	as	as	SCONJ
brj-22443	217	3	can	can	AUX
brj-22443	217	4	be	be	AUX
brj-22443	217	5	seen	see	VERB
brj-22443	217	6	in	in	ADP
brj-22443	217	7	table	table	NOUN
brj-22443	217	8	1	1	NUM
brj-22443	217	9	,	,	PUNCT
brj-22443	217	10	a	a	DET
brj-22443	217	11	complete	complete	ADJ
brj-22443	217	12	analysis	analysis	NOUN
brj-22443	217	13	of	of	ADP
brj-22443	217	14	the	the	DET
brj-22443	217	15	impact	impact	NOUN
brj-22443	217	16	from	from	ADP
brj-22443	217	17	each	each	DET
brj-22443	217	18	predictor	predictor	NOUN
brj-22443	217	19	was	be	AUX
brj-22443	217	20	not	not	PART
brj-22443	217	21	performed	perform	VERB
brj-22443	217	22	in	in	ADP
brj-22443	217	23	this	this	DET
brj-22443	217	24	paper	paper	NOUN
brj-22443	217	25	,	,	PUNCT
brj-22443	217	26	as	as	SCONJ
brj-22443	217	27	the	the	DET
brj-22443	217	28	aim	aim	NOUN
brj-22443	217	29	was	be	AUX
brj-22443	217	30	to	to	PART
brj-22443	217	31	obtain	obtain	VERB
brj-22443	217	32	a	a	DET
brj-22443	217	33	good	good	ADJ
brj-22443	217	34	enough	enough	ADJ
brj-22443	217	35	model	model	NOUN
brj-22443	217	36	.	.	PUNCT
brj-22443	218	1	moreover	moreover	ADV
brj-22443	218	2	,	,	PUNCT
brj-22443	218	3	only	only	ADJ
brj-22443	218	4	minor	minor	ADJ
brj-22443	218	5	improvements	improvement	NOUN
brj-22443	218	6	were	be	AUX
brj-22443	218	7	obtained	obtain	VERB
brj-22443	218	8	when	when	SCONJ
brj-22443	218	9	the	the	DET
brj-22443	218	10	predictors	predictor	NOUN
brj-22443	218	11	spe(fz	spe(fz	ADP
brj-22443	218	12	)	)	PUNCT
brj-22443	218	13	and	and	CCONJ
brj-22443	218	14	spe(cd	spe(cd	NOUN
brj-22443	218	15	)	)	PUNCT
brj-22443	218	16	were	be	AUX
brj-22443	218	17	introduced	introduce	VERB
brj-22443	218	18	instead	instead	ADV
brj-22443	218	19	of	of	ADP
brj-22443	218	20	the	the	DET
brj-22443	218	21	total	total	ADJ
brj-22443	218	22	specific	specific	ADJ
brj-22443	218	23	energy	energy	NOUN
brj-22443	218	24	(	(	PUNCT
brj-22443	218	25	spe	spe	PROPN
brj-22443	218	26	)	)	PUNCT
brj-22443	218	27	.	.	PUNCT
brj-22443	219	1	however	however	ADV
brj-22443	219	2	,	,	PUNCT
brj-22443	219	3	this	this	PRON
brj-22443	219	4	was	be	AUX
brj-22443	219	5	true	true	ADJ
brj-22443	219	6	for	for	ADP
brj-22443	219	7	this	this	DET
brj-22443	219	8	time	time	NOUN
brj-22443	219	9	series	series	NOUN
brj-22443	219	10	,	,	PUNCT
brj-22443	219	11	where	where	SCONJ
brj-22443	219	12	the	the	DET
brj-22443	219	13	external	external	ADJ
brj-22443	219	14	variables	variable	NOUN
brj-22443	219	15	in	in	ADP
brj-22443	219	16	the	the	DET
brj-22443	219	17	refining	refining	NOUN
brj-22443	219	18	zone	zone	NOUN
brj-22443	219	19	(	(	PUNCT
brj-22443	219	20	such	such	ADJ
brj-22443	219	21	as	as	ADP
brj-22443	219	22	dilution	dilution	NOUN
brj-22443	219	23	water	water	NOUN
brj-22443	219	24	feed	feed	NOUN
brj-22443	219	25	rates	rate	NOUN
brj-22443	219	26	and	and	CCONJ
brj-22443	219	27	plate	plate	NOUN
brj-22443	219	28	gaps	gap	NOUN
brj-22443	219	29	in	in	ADP
brj-22443	219	30	the	the	DET
brj-22443	219	31	fz	fz	NOUN
brj-22443	219	32	and	and	CCONJ
brj-22443	219	33	cd	cd	PROPN
brj-22443	219	34	)	)	PUNCT
brj-22443	219	35	were	be	AUX
brj-22443	219	36	not	not	PART
brj-22443	219	37	changed	change	VERB
brj-22443	219	38	in	in	ADP
brj-22443	219	39	the	the	DET
brj-22443	219	40	opposite	opposite	ADJ
brj-22443	219	41	direction	direction	NOUN
brj-22443	219	42	or	or	CCONJ
brj-22443	219	43	individually	individually	ADV
brj-22443	219	44	manipulated	manipulate	VERB
brj-22443	219	45	.	.	PUNCT
brj-22443	220	1	such	such	ADJ
brj-22443	220	2	situations	situation	NOUN
brj-22443	220	3	can	can	AUX
brj-22443	220	4	occur	occur	VERB
brj-22443	220	5	when	when	SCONJ
brj-22443	220	6	the	the	DET
brj-22443	220	7	production	production	NOUN
brj-22443	220	8	is	be	AUX
brj-22443	220	9	maximized	maximize	VERB
brj-22443	220	10	or	or	CCONJ
brj-22443	220	11	when	when	SCONJ
brj-22443	220	12	the	the	DET
brj-22443	220	13	refining	refining	NOUN
brj-22443	220	14	segments	segment	NOUN
brj-22443	220	15	are	be	AUX
brj-22443	220	16	not	not	PART
brj-22443	220	17	responding	respond	VERB
brj-22443	220	18	appropriately	appropriately	ADV
brj-22443	220	19	close	close	ADJ
brj-22443	220	20	to	to	ADP
brj-22443	220	21	the	the	DET
brj-22443	220	22	end	end	NOUN
brj-22443	220	23	of	of	ADP
brj-22443	220	24	the	the	DET
brj-22443	220	25	life	life	NOUN
brj-22443	220	26	cycle	cycle	NOUN
brj-22443	220	27	.	.	PUNCT
brj-22443	221	1	to	to	PART
brj-22443	221	2	illustrate	illustrate	VERB
brj-22443	221	3	that	that	PRON
brj-22443	221	4	,	,	PUNCT
brj-22443	221	5	an	an	DET
brj-22443	221	6	extended	extended	ADJ
brj-22443	221	7	time	time	NOUN
brj-22443	221	8	series	series	NOUN
brj-22443	221	9	of	of	ADP
brj-22443	221	10	fiber	fiber	NOUN
brj-22443	221	11	length	length	NOUN
brj-22443	221	12	is	be	AUX
brj-22443	221	13	shown	show	VERB
brj-22443	221	14	,	,	PUNCT
brj-22443	221	15	where	where	SCONJ
brj-22443	221	16	the	the	DET
brj-22443	221	17	last	last	ADJ
brj-22443	221	18	200	200	NUM
brj-22443	221	19	h	h	NOUN
brj-22443	221	20	before	before	SCONJ
brj-22443	221	21	a	a	DET
brj-22443	221	22	plate	plate	NOUN
brj-22443	221	23	change	change	NOUN
brj-22443	221	24	are	be	AUX
brj-22443	221	25	included	include	VERB
brj-22443	221	26	(	(	PUNCT
brj-22443	221	27	fig	fig	NOUN
brj-22443	221	28	.	.	PUNCT
brj-22443	222	1	6	6	NUM
brj-22443	222	2	)	)	PUNCT
brj-22443	222	3	.	.	PUNCT
brj-22443	223	1	fig	fig	NOUN
brj-22443	223	2	.	.	PUNCT
brj-22443	224	1	6	6	NUM
brj-22443	224	2	.	.	PUNCT
brj-22443	225	1	the	the	DET
brj-22443	225	2	measured	measure	VERB
brj-22443	225	3	and	and	CCONJ
brj-22443	225	4	estimated	estimate	VERB
brj-22443	225	5	fiber	fiber	NOUN
brj-22443	225	6	length	length	NOUN
brj-22443	225	7	using	use	VERB
brj-22443	225	8	the	the	DET
brj-22443	225	9	low	low	ADJ
brj-22443	225	10	-	-	PUNCT
brj-22443	225	11	frequency	frequency	NOUN
brj-22443	225	12	gains	gain	NOUN
brj-22443	225	13	outlined	outline	VERB
brj-22443	225	14	in	in	ADP
brj-22443	225	15	eq	eq	NOUN
brj-22443	225	16	.	.	PROPN
brj-22443	225	17	8	8	NUM
brj-22443	225	18	.	.	X
brj-22443	226	1	a	a	DET
brj-22443	226	2	)	)	PUNCT
brj-22443	226	3	predictors	predictor	NOUN
brj-22443	226	4	used	use	VERB
brj-22443	226	5	are	be	AUX
brj-22443	226	6	specific	specific	ADJ
brj-22443	226	7	energy	energy	NOUN
brj-22443	226	8	and	and	CCONJ
brj-22443	226	9	chip	chip	NOUN
brj-22443	226	10	quality	quality	NOUN
brj-22443	226	11	.	.	PUNCT
brj-22443	227	1	b	b	X
brj-22443	227	2	)	)	PUNCT
brj-22443	227	3	predictors	predictor	NOUN
brj-22443	227	4	used	use	VERB
brj-22443	227	5	are	be	AUX
brj-22443	227	6	specific	specific	ADJ
brj-22443	227	7	energy	energy	NOUN
brj-22443	227	8	in	in	ADP
brj-22443	227	9	each	each	DET
brj-22443	227	10	refining	refining	NOUN
brj-22443	227	11	zone	zone	NOUN
brj-22443	227	12	and	and	CCONJ
brj-22443	227	13	chip	chip	NOUN
brj-22443	227	14	quality	quality	NOUN
brj-22443	227	15	.	.	PUNCT
brj-22443	228	1	it	it	PRON
brj-22443	228	2	is	be	AUX
brj-22443	228	3	interesting	interesting	ADJ
brj-22443	228	4	to	to	PART
brj-22443	228	5	note	note	VERB
brj-22443	228	6	that	that	SCONJ
brj-22443	228	7	the	the	DET
brj-22443	228	8	same	same	ADJ
brj-22443	228	9	conclusion	conclusion	NOUN
brj-22443	228	10	can	can	AUX
brj-22443	228	11	not	not	PART
brj-22443	228	12	be	be	AUX
brj-22443	228	13	drawn	draw	VERB
brj-22443	228	14	by	by	ADP
brj-22443	228	15	studying	study	VERB
brj-22443	228	16	only	only	ADV
brj-22443	228	17	shives(wide	shives(wide	PROPN
brj-22443	228	18	)	)	PUNCT
brj-22443	228	19	.	.	PUNCT
brj-22443	229	1	if	if	SCONJ
brj-22443	229	2	the	the	DET
brj-22443	229	3	plate	plate	NOUN
brj-22443	229	4	gaps	gap	VERB
brj-22443	229	5	in	in	ADP
brj-22443	229	6	the	the	DET
brj-22443	229	7	flat	flat	ADJ
brj-22443	229	8	zone	zone	NOUN
brj-22443	229	9	and	and	CCONJ
brj-22443	229	10	conical	conical	NOUN
brj-22443	229	11	zone	zone	NOUN
brj-22443	229	12	are	be	AUX
brj-22443	229	13	kept	keep	VERB
brj-22443	229	14	relatively	relatively	ADV
brj-22443	229	15	stable	stable	ADJ
brj-22443	229	16	over	over	ADP
brj-22443	229	17	time	time	NOUN
brj-22443	229	18	this	this	PRON
brj-22443	229	19	is	be	AUX
brj-22443	229	20	a	a	DET
brj-22443	229	21	minor	minor	ADJ
brj-22443	229	22	problem	problem	NOUN
brj-22443	229	23	.	.	PUNCT
brj-22443	230	1	therefore	therefore	ADV
brj-22443	230	2	,	,	PUNCT
brj-22443	230	3	it	it	PRON
brj-22443	230	4	is	be	AUX
brj-22443	230	5	preferred	prefer	VERB
brj-22443	230	6	to	to	PART
brj-22443	230	7	use	use	VERB
brj-22443	230	8	the	the	DET
brj-22443	230	9	total	total	ADJ
brj-22443	230	10	specific	specific	ADJ
brj-22443	230	11	energy	energy	NOUN
brj-22443	230	12	when	when	SCONJ
brj-22443	230	13	estimating	estimate	VERB
brj-22443	230	14	both	both	DET
brj-22443	230	15	fiber	fiber	NOUN
brj-22443	230	16	length	length	NOUN
brj-22443	230	17	and	and	CCONJ
brj-22443	230	18	shives(wide	shives(wide	PROPN
brj-22443	230	19	)	)	PUNCT
brj-22443	230	20	.	.	PUNCT
brj-22443	231	1	nevertheless	nevertheless	ADV
brj-22443	231	2	,	,	PUNCT
brj-22443	231	3	as	as	SCONJ
brj-22443	231	4	seen	see	VERB
brj-22443	231	5	in	in	ADP
brj-22443	231	6	table	table	NOUN
brj-22443	231	7	1	1	NUM
brj-22443	231	8	,	,	PUNCT
brj-22443	231	9	the	the	DET
brj-22443	231	10	best	well	ADV
brj-22443	231	11	fit	fit	ADJ
brj-22443	231	12	when	when	SCONJ
brj-22443	231	13	modeling	modeling	ADJ
brj-22443	231	14	shives(wide	shives(wide	NOUN
brj-22443	231	15	)	)	PUNCT
brj-22443	231	16	was	be	AUX
brj-22443	231	17	obtained	obtain	VERB
brj-22443	231	18	when	when	SCONJ
brj-22443	231	19	external	external	ADJ
brj-22443	231	20	variables	variable	NOUN
brj-22443	231	21	were	be	AUX
brj-22443	231	22	used	use	VERB
brj-22443	231	23	as	as	ADP
brj-22443	231	24	predictors	predictor	NOUN
brj-22443	231	25	while	while	SCONJ
brj-22443	231	26	a	a	DET
brj-22443	231	27	mix	mix	NOUN
brj-22443	231	28	of	of	ADP
brj-22443	231	29	external	external	ADJ
brj-22443	231	30	and	and	CCONJ
brj-22443	231	31	internal	internal	ADJ
brj-22443	231	32	variables	variable	NOUN
brj-22443	231	33	is	be	AUX
brj-22443	231	34	desirable	desirable	ADJ
brj-22443	231	35	when	when	SCONJ
brj-22443	231	36	estimating	estimate	VERB
brj-22443	231	37	the	the	DET
brj-22443	231	38	fiber	fiber	NOUN
brj-22443	231	39	length	length	NOUN
brj-22443	231	40	.	.	PUNCT
brj-22443	232	1	other	other	ADJ
brj-22443	232	2	internal	internal	ADJ
brj-22443	232	3	variables	variable	NOUN
brj-22443	232	4	such	such	ADJ
brj-22443	232	5	as	as	ADP
brj-22443	232	6	consistencies	consistency	NOUN
brj-22443	232	7	are	be	AUX
brj-22443	232	8	not	not	PART
brj-22443	232	9	considered	consider	VERB
brj-22443	232	10	in	in	ADP
brj-22443	232	11	this	this	DET
brj-22443	232	12	paper	paper	NOUN
brj-22443	232	13	,	,	PUNCT
brj-22443	232	14	as	as	SCONJ
brj-22443	232	15	the	the	DET
brj-22443	232	16	dilution	dilution	NOUN
brj-22443	232	17	water	water	NOUN
brj-22443	232	18	and	and	CCONJ
brj-22443	232	19	consistency	consistency	NOUN
brj-22443	232	20	are	be	AUX
brj-22443	232	21	strongly	strongly	ADV
brj-22443	232	22	correlated	correlate	VERB
brj-22443	232	23	to	to	ADP
brj-22443	232	24	each	each	DET
brj-22443	232	25	other	other	ADJ
brj-22443	232	26	.	.	PUNCT
brj-22443	233	1	peer	peer	NOUN
brj-22443	233	2	-	-	PUNCT
brj-22443	233	3	reviewed	review	VERB
brj-22443	233	4	article	article	NOUN
brj-22443	233	5	bioresources.com	bioresources.com	X
brj-22443	233	6	karlström	karlström	NOUN
brj-22443	233	7	et	et	PROPN
brj-22443	233	8	al	al	PROPN
brj-22443	233	9	.	.	PROPN
brj-22443	233	10	(	(	PUNCT
brj-22443	233	11	2023	2023	NUM
brj-22443	233	12	)	)	PUNCT
brj-22443	233	13	.	.	PUNCT
brj-22443	234	1	“	"	PUNCT
brj-22443	234	2	soft	soft	ADJ
brj-22443	234	3	sensors	sensor	NOUN
brj-22443	234	4	in	in	ADP
brj-22443	234	5	refining	refining	NOUN
brj-22443	234	6	,	,	PUNCT
brj-22443	234	7	”	"	PUNCT
brj-22443	234	8	bioresources	bioresource	NOUN
brj-22443	234	9	18(4	18(4	NUM
brj-22443	234	10	)	)	PUNCT
brj-22443	234	11	,	,	PUNCT
brj-22443	234	12	8163	8163	NUM
brj-22443	234	13	-	-	SYM
brj-22443	234	14	8186	8186	NUM
brj-22443	234	15	.	.	PUNCT
brj-22443	234	16	8174	8174	NUM
brj-22443	234	17	further	further	ADJ
brj-22443	234	18	model	model	NOUN
brj-22443	234	19	improvements	improvement	NOUN
brj-22443	234	20	seem	seem	VERB
brj-22443	234	21	to	to	PART
brj-22443	234	22	be	be	AUX
brj-22443	234	23	difficult	difficult	ADJ
brj-22443	234	24	to	to	PART
brj-22443	234	25	obtain	obtain	VERB
brj-22443	234	26	with	with	ADP
brj-22443	234	27	this	this	DET
brj-22443	234	28	setup	setup	NOUN
brj-22443	234	29	of	of	ADP
brj-22443	234	30	predictors	predictor	NOUN
brj-22443	234	31	,	,	PUNCT
brj-22443	234	32	and	and	CCONJ
brj-22443	234	33	it	it	PRON
brj-22443	234	34	can	can	AUX
brj-22443	234	35	be	be	AUX
brj-22443	234	36	concluded	conclude	VERB
brj-22443	234	37	that	that	SCONJ
brj-22443	234	38	the	the	DET
brj-22443	234	39	model	model	NOUN
brj-22443	234	40	responses	response	VERB
brj-22443	234	41	in	in	ADP
brj-22443	234	42	fig	fig	NOUN
brj-22443	234	43	.	.	PUNCT
brj-22443	235	1	7	7	NUM
brj-22443	235	2	,	,	PUNCT
brj-22443	235	3	at	at	ADP
brj-22443	235	4	least	least	ADJ
brj-22443	235	5	,	,	PUNCT
brj-22443	235	6	follow	follow	VERB
brj-22443	235	7	the	the	DET
brj-22443	235	8	trends	trend	NOUN
brj-22443	235	9	in	in	ADP
brj-22443	235	10	the	the	DET
brj-22443	235	11	time	time	NOUN
brj-22443	235	12	series	series	NOUN
brj-22443	235	13	.	.	PUNCT
brj-22443	236	1	the	the	DET
brj-22443	236	2	arx	arx	PROPN
brj-22443	236	3	-	-	PUNCT
brj-22443	236	4	model	model	NOUN
brj-22443	236	5	parameters	parameter	NOUN
brj-22443	236	6	for	for	ADP
brj-22443	236	7	the	the	DET
brj-22443	236	8	training	training	NOUN
brj-22443	236	9	set	set	NOUN
brj-22443	236	10	are	be	AUX
brj-22443	236	11	given	give	VERB
brj-22443	236	12	in	in	ADP
brj-22443	236	13	table	table	NOUN
brj-22443	236	14	2	2	NUM
brj-22443	236	15	together	together	ADV
brj-22443	236	16	with	with	ADP
brj-22443	236	17	two	two	NUM
brj-22443	236	18	new	new	ADJ
brj-22443	236	19	sets	set	NOUN
brj-22443	236	20	of	of	ADP
brj-22443	236	21	arx	arx	NOUN
brj-22443	236	22	-	-	PUNCT
brj-22443	236	23	model	model	NOUN
brj-22443	236	24	parameters	parameter	NOUN
brj-22443	236	25	for	for	ADP
brj-22443	236	26	both	both	DET
brj-22443	236	27	shives(wide	shives(wide	PROPN
brj-22443	236	28	)	)	PUNCT
brj-22443	236	29	and	and	CCONJ
brj-22443	236	30	fiber	fiber	NOUN
brj-22443	236	31	length	length	NOUN
brj-22443	236	32	.	.	PUNCT
brj-22443	237	1	the	the	DET
brj-22443	237	2	latter	latter	ADJ
brj-22443	237	3	set	set	NOUN
brj-22443	237	4	was	be	AUX
brj-22443	237	5	thereby	thereby	ADV
brj-22443	237	6	used	use	VERB
brj-22443	237	7	for	for	ADP
brj-22443	237	8	comparison	comparison	NOUN
brj-22443	237	9	of	of	ADP
brj-22443	237	10	both	both	CCONJ
brj-22443	237	11	the	the	DET
brj-22443	237	12	original	original	ADJ
brj-22443	237	13	parameters	parameter	NOUN
brj-22443	237	14	and	and	CCONJ
brj-22443	237	15	the	the	DET
brj-22443	237	16	validation	validation	NOUN
brj-22443	237	17	sets	set	NOUN
brj-22443	237	18	.	.	PUNCT
brj-22443	238	1	fig	fig	NOUN
brj-22443	238	2	.	.	PUNCT
brj-22443	239	1	7	7	X
brj-22443	239	2	.	.	X
brj-22443	239	3	a	a	PRON
brj-22443	239	4	)	)	PUNCT
brj-22443	239	5	measured	measured	ADJ
brj-22443	239	6	and	and	CCONJ
brj-22443	239	7	estimated	estimate	VERB
brj-22443	239	8	fiber	fiber	NOUN
brj-22443	239	9	length	length	NOUN
brj-22443	239	10	using	use	VERB
brj-22443	239	11	the	the	DET
brj-22443	239	12	low	low	ADJ
brj-22443	239	13	-	-	PUNCT
brj-22443	239	14	frequency	frequency	NOUN
brj-22443	239	15	gains	gain	NOUN
brj-22443	239	16	outlined	outline	VERB
brj-22443	239	17	in	in	ADP
brj-22443	239	18	eq	eq	NOUN
brj-22443	239	19	.	.	PROPN
brj-22443	239	20	8	8	NUM
brj-22443	239	21	.	.	PUNCT
brj-22443	240	1	predictors	predictor	NOUN
brj-22443	240	2	used	use	VERB
brj-22443	240	3	are	be	AUX
brj-22443	240	4	given	give	VERB
brj-22443	240	5	in	in	ADP
brj-22443	240	6	the	the	DET
brj-22443	240	7	legend	legend	NOUN
brj-22443	240	8	.	.	PUNCT
brj-22443	241	1	b	b	X
brj-22443	241	2	)	)	PUNCT
brj-22443	241	3	measured	measure	VERB
brj-22443	241	4	and	and	CCONJ
brj-22443	241	5	estimated	estimate	VERB
brj-22443	241	6	shives(wide	shives(wide	PROPN
brj-22443	241	7	)	)	PUNCT
brj-22443	241	8	where	where	SCONJ
brj-22443	241	9	the	the	DET
brj-22443	241	10	predictors	predictor	NOUN
brj-22443	241	11	are	be	AUX
brj-22443	241	12	the	the	DET
brj-22443	241	13	same	same	ADJ
brj-22443	241	14	as	as	ADP
brj-22443	241	15	in	in	ADP
brj-22443	241	16	part	part	NOUN
brj-22443	241	17	b	b	NOUN
brj-22443	241	18	)	)	PUNCT
brj-22443	241	19	.	.	PUNCT
brj-22443	242	1	in	in	ADP
brj-22443	242	2	general	general	ADJ
brj-22443	242	3	,	,	PUNCT
brj-22443	242	4	any	any	DET
brj-22443	242	5	models	model	NOUN
brj-22443	242	6	like	like	ADP
brj-22443	242	7	those	those	PRON
brj-22443	242	8	in	in	ADP
brj-22443	242	9	table	table	NOUN
brj-22443	242	10	2	2	NUM
brj-22443	242	11	are	be	AUX
brj-22443	242	12	troublesome	troublesome	ADJ
brj-22443	242	13	to	to	PART
brj-22443	242	14	use	use	VERB
brj-22443	242	15	as	as	ADP
brj-22443	242	16	standalone	standalone	NOUN
brj-22443	242	17	models	model	NOUN
brj-22443	242	18	due	due	ADJ
brj-22443	242	19	to	to	ADP
brj-22443	242	20	interconnections	interconnection	NOUN
brj-22443	242	21	between	between	ADP
brj-22443	242	22	the	the	DET
brj-22443	242	23	predictors	predictor	NOUN
brj-22443	242	24	,	,	PUNCT
brj-22443	242	25	see	see	VERB
brj-22443	242	26	further	far	ADV
brj-22443	242	27	the	the	DET
brj-22443	242	28	discussion	discussion	NOUN
brj-22443	242	29	in	in	ADP
brj-22443	242	30	the	the	DET
brj-22443	242	31	appendix	appendix	NOUN
brj-22443	242	32	,	,	PUNCT
brj-22443	242	33	and	and	CCONJ
brj-22443	242	34	other	other	ADJ
brj-22443	242	35	issues	issue	NOUN
brj-22443	242	36	that	that	PRON
brj-22443	242	37	cause	cause	VERB
brj-22443	242	38	several	several	ADJ
brj-22443	242	39	challenges	challenge	NOUN
brj-22443	242	40	related	relate	VERB
brj-22443	242	41	to	to	PART
brj-22443	242	42	process	process	VERB
brj-22443	242	43	non	non	NOUN
brj-22443	242	44	-	-	NOUN
brj-22443	242	45	linearities	linearity	NOUN
brj-22443	242	46	.	.	PUNCT
brj-22443	243	1	as	as	ADP
brj-22443	243	2	an	an	DET
brj-22443	243	3	example	example	NOUN
brj-22443	243	4	,	,	PUNCT
brj-22443	243	5	consider	consider	VERB
brj-22443	243	6	the	the	DET
brj-22443	243	7	set	set	NOUN
brj-22443	243	8	of	of	ADP
brj-22443	243	9	parameters	parameter	NOUN
brj-22443	243	10	in	in	ADP
brj-22443	243	11	case	case	NOUN
brj-22443	243	12	g	g	NOUN
brj-22443	243	13	,	,	PUNCT
brj-22443	243	14	in	in	ADP
brj-22443	243	15	table	table	NOUN
brj-22443	243	16	2	2	NUM
brj-22443	243	17	.	.	PUNCT
brj-22443	244	1	in	in	ADP
brj-22443	244	2	real	real	ADJ
brj-22443	244	3	life	life	NOUN
brj-22443	244	4	,	,	PUNCT
brj-22443	244	5	a	a	DET
brj-22443	244	6	reduced	reduce	VERB
brj-22443	244	7	plate	plate	NOUN
brj-22443	244	8	gap	gap	NOUN
brj-22443	244	9	in	in	ADP
brj-22443	244	10	cd	cd	PROPN
brj-22443	244	11	will	will	AUX
brj-22443	244	12	most	most	ADV
brj-22443	244	13	likely	likely	ADV
brj-22443	244	14	reduce	reduce	VERB
brj-22443	244	15	the	the	DET
brj-22443	244	16	fiber	fiber	NOUN
brj-22443	244	17	length	length	NOUN
brj-22443	244	18	,	,	PUNCT
brj-22443	244	19	while	while	SCONJ
brj-22443	244	20	an	an	DET
brj-22443	244	21	increased	increase	VERB
brj-22443	244	22	plate	plate	NOUN
brj-22443	244	23	gap	gap	NOUN
brj-22443	244	24	can	can	AUX
brj-22443	244	25	hardly	hardly	ADV
brj-22443	244	26	increase	increase	VERB
brj-22443	244	27	the	the	DET
brj-22443	244	28	fiber	fiber	NOUN
brj-22443	244	29	length	length	NOUN
brj-22443	244	30	.	.	PUNCT
brj-22443	245	1	this	this	PRON
brj-22443	245	2	is	be	AUX
brj-22443	245	3	often	often	ADV
brj-22443	245	4	called	call	VERB
brj-22443	245	5	directiondependent	directiondependent	NOUN
brj-22443	245	6	dynamics	dynamic	NOUN
brj-22443	245	7	,	,	PUNCT
brj-22443	245	8	which	which	PRON
brj-22443	245	9	is	be	AUX
brj-22443	245	10	impossible	impossible	ADJ
brj-22443	245	11	to	to	PART
brj-22443	245	12	follow	follow	VERB
brj-22443	245	13	by	by	ADP
brj-22443	245	14	only	only	ADV
brj-22443	245	15	studying	study	VERB
brj-22443	245	16	changes	change	NOUN
brj-22443	245	17	in	in	ADP
brj-22443	245	18	the	the	DET
brj-22443	245	19	predictors	predictor	NOUN
brj-22443	245	20	.	.	PUNCT
brj-22443	246	1	hence	hence	ADV
brj-22443	246	2	,	,	PUNCT
brj-22443	246	3	in	in	ADP
brj-22443	246	4	this	this	DET
brj-22443	246	5	case	case	NOUN
brj-22443	246	6	the	the	DET
brj-22443	246	7	parameter	parameter	NOUN
brj-22443	246	8	sign	sign	NOUN
brj-22443	246	9	is	be	AUX
brj-22443	246	10	irrelevant	irrelevant	ADJ
brj-22443	246	11	,	,	PUNCT
brj-22443	246	12	as	as	SCONJ
brj-22443	246	13	it	it	PRON
brj-22443	246	14	has	have	VERB
brj-22443	246	15	no	no	DET
brj-22443	246	16	meaning	meaning	NOUN
brj-22443	246	17	in	in	ADP
brj-22443	246	18	a	a	DET
brj-22443	246	19	“	"	PUNCT
brj-22443	246	20	standalone”-perspective	standalone”-perspective	ADJ
brj-22443	246	21	.	.	PUNCT
brj-22443	247	1	at	at	ADP
brj-22443	247	2	the	the	DET
brj-22443	247	3	same	same	ADJ
brj-22443	247	4	time	time	NOUN
brj-22443	247	5	,	,	PUNCT
brj-22443	247	6	a	a	DET
brj-22443	247	7	reduced	reduce	VERB
brj-22443	247	8	plate	plate	NOUN
brj-22443	247	9	gap	gap	NOUN
brj-22443	247	10	in	in	ADP
brj-22443	247	11	cd	cd	PROPN
brj-22443	247	12	will	will	AUX
brj-22443	247	13	increase	increase	VERB
brj-22443	247	14	the	the	DET
brj-22443	247	15	specific	specific	ADJ
brj-22443	247	16	energy	energy	NOUN
brj-22443	247	17	,	,	PUNCT
brj-22443	247	18	while	while	SCONJ
brj-22443	247	19	an	an	DET
brj-22443	247	20	increased	increase	VERB
brj-22443	247	21	plate	plate	NOUN
brj-22443	247	22	gap	gap	NOUN
brj-22443	247	23	will	will	AUX
brj-22443	247	24	reduce	reduce	VERB
brj-22443	247	25	the	the	DET
brj-22443	247	26	specific	specific	ADJ
brj-22443	247	27	energy	energy	NOUN
brj-22443	247	28	.	.	PUNCT
brj-22443	248	1	in	in	ADP
brj-22443	248	2	other	other	ADJ
brj-22443	248	3	words	word	NOUN
brj-22443	248	4	,	,	PUNCT
brj-22443	248	5	when	when	SCONJ
brj-22443	248	6	it	it	PRON
brj-22443	248	7	comes	come	VERB
brj-22443	248	8	to	to	ADP
brj-22443	248	9	specific	specific	ADJ
brj-22443	248	10	energy	energy	NOUN
brj-22443	248	11	dynamics	dynamic	NOUN
brj-22443	248	12	,	,	PUNCT
brj-22443	248	13	the	the	DET
brj-22443	248	14	process	process	NOUN
brj-22443	248	15	behavior	behavior	NOUN
brj-22443	248	16	can	can	AUX
brj-22443	248	17	be	be	AUX
brj-22443	248	18	described	describe	VERB
brj-22443	248	19	by	by	ADP
brj-22443	248	20	a	a	DET
brj-22443	248	21	time	time	NOUN
brj-22443	248	22	-	-	PUNCT
brj-22443	248	23	invariant	invariant	ADJ
brj-22443	248	24	linear	linear	ADJ
brj-22443	248	25	system	system	NOUN
brj-22443	248	26	.	.	PUNCT
brj-22443	249	1	in	in	ADP
brj-22443	249	2	point	point	NOUN
brj-22443	249	3	,	,	PUNCT
brj-22443	249	4	these	these	DET
brj-22443	249	5	two	two	NUM
brj-22443	249	6	predictors	predictor	NOUN
brj-22443	249	7	are	be	AUX
brj-22443	249	8	interconnected	interconnect	VERB
brj-22443	249	9	,	,	PUNCT
brj-22443	249	10	which	which	DET
brj-22443	249	11	peer	peer	NOUN
brj-22443	249	12	-	-	PUNCT
brj-22443	249	13	reviewed	review	VERB
brj-22443	249	14	article	article	NOUN
brj-22443	249	15	bioresources.com	bioresources.com	X
brj-22443	249	16	karlström	karlström	NOUN
brj-22443	249	17	et	et	PROPN
brj-22443	249	18	al	al	PROPN
brj-22443	249	19	.	.	PROPN
brj-22443	250	1	(	(	PUNCT
brj-22443	250	2	2023	2023	NUM
brj-22443	250	3	)	)	PUNCT
brj-22443	250	4	.	.	PUNCT
brj-22443	251	1	“	"	PUNCT
brj-22443	251	2	soft	soft	ADJ
brj-22443	251	3	sensors	sensor	NOUN
brj-22443	251	4	in	in	ADP
brj-22443	251	5	refining	refining	NOUN
brj-22443	251	6	,	,	PUNCT
brj-22443	251	7	”	"	PUNCT
brj-22443	251	8	bioresources	bioresource	NOUN
brj-22443	251	9	18(4	18(4	NUM
brj-22443	251	10	)	)	PUNCT
brj-22443	251	11	,	,	PUNCT
brj-22443	251	12	8163	8163	NUM
brj-22443	251	13	-	-	SYM
brj-22443	251	14	8186	8186	NUM
brj-22443	251	15	.	.	PUNCT
brj-22443	252	1	8175	8175	NUM
brj-22443	252	2	makes	make	VERB
brj-22443	252	3	it	it	PRON
brj-22443	252	4	difficult	difficult	ADJ
brj-22443	252	5	to	to	PART
brj-22443	252	6	use	use	VERB
brj-22443	252	7	the	the	DET
brj-22443	252	8	model	model	NOUN
brj-22443	252	9	as	as	ADP
brj-22443	252	10	a	a	DET
brj-22443	252	11	standalone	standalone	ADJ
brj-22443	252	12	model	model	NOUN
brj-22443	252	13	.	.	PUNCT
brj-22443	253	1	similar	similar	ADJ
brj-22443	253	2	behavior	behavior	NOUN
brj-22443	253	3	occurs	occur	VERB
brj-22443	253	4	changing	change	VERB
brj-22443	253	5	the	the	DET
brj-22443	253	6	dilution	dilution	NOUN
brj-22443	253	7	water	water	NOUN
brj-22443	253	8	feed	feed	NOUN
brj-22443	253	9	rates	rate	NOUN
brj-22443	253	10	are	be	AUX
brj-22443	253	11	changed	change	VERB
brj-22443	253	12	,	,	PUNCT
brj-22443	253	13	resulting	result	VERB
brj-22443	253	14	in	in	ADP
brj-22443	253	15	a	a	DET
brj-22443	253	16	linear	linear	ADJ
brj-22443	253	17	approximation	approximation	NOUN
brj-22443	253	18	of	of	ADP
brj-22443	253	19	the	the	DET
brj-22443	253	20	nonlinear	nonlinear	ADJ
brj-22443	253	21	process	process	NOUN
brj-22443	253	22	behavior	behavior	NOUN
brj-22443	253	23	.	.	PUNCT
brj-22443	254	1	therefore	therefore	ADV
brj-22443	254	2	,	,	PUNCT
brj-22443	254	3	it	it	PRON
brj-22443	254	4	is	be	AUX
brj-22443	254	5	important	important	ADJ
brj-22443	254	6	to	to	PART
brj-22443	254	7	state	state	VERB
brj-22443	254	8	that	that	SCONJ
brj-22443	254	9	the	the	DET
brj-22443	254	10	models	model	NOUN
brj-22443	254	11	in	in	ADP
brj-22443	254	12	table	table	NOUN
brj-22443	254	13	2	2	NUM
brj-22443	254	14	do	do	AUX
brj-22443	254	15	not	not	PART
brj-22443	254	16	necessarily	necessarily	ADV
brj-22443	254	17	give	give	VERB
brj-22443	254	18	the	the	DET
brj-22443	254	19	best	good	ADJ
brj-22443	254	20	fit	fit	NOUN
brj-22443	254	21	.	.	PUNCT
brj-22443	255	1	instead	instead	ADV
brj-22443	255	2	,	,	PUNCT
brj-22443	255	3	the	the	DET
brj-22443	255	4	concept	concept	NOUN
brj-22443	255	5	requires	require	VERB
brj-22443	255	6	both	both	CCONJ
brj-22443	255	7	a	a	DET
brj-22443	255	8	modeland	modeland	ADJ
brj-22443	255	9	datadriven	datadriven	ADJ
brj-22443	255	10	concept	concept	NOUN
brj-22443	255	11	to	to	PART
brj-22443	255	12	provide	provide	VERB
brj-22443	255	13	models	model	NOUN
brj-22443	255	14	that	that	PRON
brj-22443	255	15	are	be	AUX
brj-22443	255	16	good	good	ADJ
brj-22443	255	17	enough	enough	ADV
brj-22443	255	18	for	for	ADP
brj-22443	255	19	the	the	DET
brj-22443	255	20	validation	validation	NOUN
brj-22443	255	21	procedure	procedure	NOUN
brj-22443	255	22	.	.	PUNCT
brj-22443	256	1	note	note	VERB
brj-22443	256	2	that	that	SCONJ
brj-22443	256	3	the	the	DET
brj-22443	256	4	parameters	parameter	NOUN
brj-22443	256	5	shown	show	VERB
brj-22443	256	6	in	in	ADP
brj-22443	256	7	table	table	NOUN
brj-22443	256	8	2	2	NUM
brj-22443	256	9	correspond	correspond	NOUN
brj-22443	256	10	to	to	ADP
brj-22443	256	11	the	the	DET
brj-22443	256	12	complete	complete	ADJ
brj-22443	256	13	training	training	NOUN
brj-22443	256	14	set	set	NOUN
brj-22443	256	15	,	,	PUNCT
brj-22443	256	16	i.e.	i.e.	X
brj-22443	256	17	,	,	PUNCT
brj-22443	256	18	800	800	NUM
brj-22443	256	19	h.	h.	NOUN
brj-22443	256	20	however	however	ADV
brj-22443	256	21	,	,	PUNCT
brj-22443	256	22	it	it	PRON
brj-22443	256	23	is	be	AUX
brj-22443	256	24	possible	possible	ADJ
brj-22443	256	25	in	in	ADP
brj-22443	256	26	some	some	DET
brj-22443	256	27	cases	case	NOUN
brj-22443	256	28	to	to	PART
brj-22443	256	29	limit	limit	VERB
brj-22443	256	30	the	the	DET
brj-22443	256	31	training	training	NOUN
brj-22443	256	32	set	set	VERB
brj-22443	256	33	by	by	ADP
brj-22443	256	34	using	use	VERB
brj-22443	256	35	a	a	DET
brj-22443	256	36	cumulative	cumulative	ADJ
brj-22443	256	37	method	method	NOUN
brj-22443	256	38	,	,	PUNCT
brj-22443	256	39	where	where	SCONJ
brj-22443	256	40	the	the	DET
brj-22443	256	41	time	time	NOUN
brj-22443	256	42	series	series	NOUN
brj-22443	256	43	is	be	AUX
brj-22443	256	44	divided	divide	VERB
brj-22443	256	45	into	into	ADP
brj-22443	256	46	n	n	CCONJ
brj-22443	256	47	cumulative	cumulative	ADJ
brj-22443	256	48	frames	frame	NOUN
brj-22443	256	49	,	,	PUNCT
brj-22443	256	50	where	where	SCONJ
brj-22443	256	51	the	the	DET
brj-22443	256	52	parameter	parameter	NOUN
brj-22443	256	53	stability	stability	NOUN
brj-22443	256	54	is	be	AUX
brj-22443	256	55	analyzed	analyze	VERB
brj-22443	256	56	in	in	ADP
brj-22443	256	57	each	each	DET
brj-22443	256	58	frame	frame	NOUN
brj-22443	256	59	(	(	PUNCT
brj-22443	256	60	see	see	VERB
brj-22443	256	61	fig	fig	NOUN
brj-22443	256	62	8)	8)	NUM
brj-22443	256	63	.	.	PUNCT
brj-22443	256	64	table	table	NOUN
brj-22443	256	65	2	2	NUM
brj-22443	256	66	.	.	PUNCT
brj-22443	256	67	estimated	estimate	VERB
brj-22443	256	68	low	low	ADJ
brj-22443	256	69	-	-	PUNCT
brj-22443	256	70	frequency	frequency	NOUN
brj-22443	256	71	gain	gain	NOUN
brj-22443	256	72	parameters	parameter	NOUN
brj-22443	256	73	for	for	ADP
brj-22443	256	74	shives(wide	shives(wide	PROPN
brj-22443	256	75	)	)	PUNCT
brj-22443	256	76	and	and	CCONJ
brj-22443	256	77	fiber	fiber	NOUN
brj-22443	256	78	length	length	NOUN
brj-22443	256	79	*	*	PUNCT
brj-22443	256	80	model	model	NOUN
brj-22443	256	81	parameters	parameter	NOUN
brj-22443	256	82	training	training	NOUN
brj-22443	256	83	sets	set	NOUN
brj-22443	256	84	parameters	parameter	NOUN
brj-22443	256	85	shives(wide	shives(wide	NOUN
brj-22443	256	86	)	)	PUNCT
brj-22443	256	87	fiber	fiber	NOUN
brj-22443	256	88	length	length	NOUN
brj-22443	256	89	in	in	ADP
brj-22443	256	90	the	the	DET
brj-22443	256	91	arxmodel	arxmodel	NOUN
brj-22443	256	92	based	base	VERB
brj-22443	256	93	on	on	ADP
brj-22443	256	94	training	training	NOUN
brj-22443	256	95	set	set	NOUN
brj-22443	256	96	based	base	VERB
brj-22443	256	97	on	on	ADP
brj-22443	256	98	validation	validation	NOUN
brj-22443	256	99	set	set	NOUN
brj-22443	256	100	based	base	VERB
brj-22443	256	101	on	on	ADP
brj-22443	256	102	training	training	NOUN
brj-22443	256	103	set	set	NOUN
brj-22443	256	104	based	base	VERB
brj-22443	256	105	on	on	ADP
brj-22443	256	106	validation	validation	NOUN
brj-22443	256	107	set	set	VERB
brj-22443	256	108	casea	casea	ADJ
brj-22443	256	109	caseb	caseb	NOUN
brj-22443	256	110	casec	casec	PROPN
brj-22443	256	111	cased	case	VERB
brj-22443	256	112	casee	casee	NOUN
brj-22443	256	113	casef	casef	PROPN
brj-22443	256	114	caseg	caseg	PROPN
brj-22443	256	115	caseh	caseh	VERB
brj-22443	256	116	specific	specific	ADJ
brj-22443	256	117	energy	energy	NOUN
brj-22443	256	118	-0.1727	-0.1727	NOUN
brj-22443	256	119	-0.1491	-0.1491	PROPN
brj-22443	256	120	-0.3399	-0.3399	PROPN
brj-22443	257	1	-0.3405	-0.3405	PROPN
brj-22443	257	2	-0.0012	-0.0012	PROPN
brj-22443	257	3	-0.00110	-0.00110	PROPN
brj-22443	257	4	0.00061	0.00061	NUM
brj-22443	257	5	-0.00049	-0.00049	PROPN
brj-22443	257	6	dilution	dilution	NOUN
brj-22443	257	7	w	w	PROPN
brj-22443	257	8	(	(	PUNCT
brj-22443	257	9	fz	fz	PROPN
brj-22443	257	10	)	)	PUNCT
brj-22443	257	11	0.154	0.154	NUM
brj-22443	257	12	0.5273	0.5273	NUM
brj-22443	257	13	0.0670	0.0670	NUM
brj-22443	257	14	0.1360	0.1360	NUM
brj-22443	257	15	-0.0023	-0.0023	NOUN
brj-22443	257	16	-0.00075	-0.00075	VERB
brj-22443	257	17	0.00100	0.00100	NUM
brj-22443	257	18	-0.00008	-0.00008	NOUN
brj-22443	257	19	dilution	dilution	NOUN
brj-22443	257	20	w	w	PROPN
brj-22443	257	21	(	(	PUNCT
brj-22443	257	22	cd	cd	PROPN
brj-22443	257	23	)	)	PUNCT
brj-22443	257	24	-0.0388	-0.0388	VERB
brj-22443	257	25	0.1518	0.1518	NUM
brj-22443	257	26	-0.0733	-0.0733	NOUN
brj-22443	257	27	-0.0259	-0.0259	NOUN
brj-22443	257	28	-0.0021	-0.0021	NOUN
brj-22443	257	29	-0.00085	-0.00085	NOUN
brj-22443	258	1	0.00044	0.00044	NUM
brj-22443	258	2	0.00002	0.00002	NUM
brj-22443	258	3	plate	plate	NOUN
brj-22443	258	4	gap	gap	NOUN
brj-22443	258	5	(	(	PUNCT
brj-22443	258	6	fz	fz	NOUN
brj-22443	258	7	)	)	PUNCT
brj-22443	258	8	47.9711	47.9711	NUM
brj-22443	258	9	25.244	25.244	NUM
brj-22443	258	10	17.0492	17.0492	NUM
brj-22443	258	11	27.2685	27.2685	NUM
brj-22443	258	12	0.0459	0.0459	NUM
brj-22443	258	13	0.05120	0.05120	NUM
brj-22443	258	14	0.30680	0.30680	NUM
brj-22443	258	15	-0.21970	-0.21970	NOUN
brj-22443	258	16	plate	plate	NOUN
brj-22443	258	17	gap	gap	NOUN
brj-22443	258	18	(	(	PUNCT
brj-22443	258	19	cd	cd	PROPN
brj-22443	258	20	)	)	PUNCT
brj-22443	258	21	93.2079	93.2079	NUM
brj-22443	258	22	103.456	103.456	NUM
brj-22443	258	23	85.0052	85.0052	NUM
brj-22443	258	24	86.1850	86.1850	NUM
brj-22443	258	25	-0.0967	-0.0967	PUNCT
brj-22443	258	26	-0.02620	-0.02620	NOUN
brj-22443	259	1	0.28760	0.28760	NUM
brj-22443	260	1	0.26560	0.26560	NUM
brj-22443	260	2	saw	see	VERB
brj-22443	260	3	mill	mill	NOUN
brj-22443	260	4	chips	chip	NOUN
brj-22443	260	5	-0.1643	-0.1643	PART
brj-22443	260	6	-0.124	-0.124	INTJ
brj-22443	261	1	-0.6054	-0.6054	ADJ
brj-22443	261	2	-0.5750	-0.5750	PROPN
brj-22443	262	1	0.0015	0.0015	NUM
brj-22443	262	2	0.00130	0.00130	NUM
brj-22443	262	3	0.00088	0.00088	NUM
brj-22443	262	4	0.00130	0.00130	NUM
brj-22443	262	5	temp	temp	NOUN
brj-22443	262	6	(	(	PUNCT
brj-22443	262	7	initfz	initfz	PROPN
brj-22443	262	8	)	)	PUNCT
brj-22443	262	9	-2.2505	-2.2505	PUNCT
brj-22443	263	1	-0,0475	-0,0475	PROPN
brj-22443	263	2	-0.00300	-0.00300	NOUN
brj-22443	263	3	0.00640	0.00640	NUM
brj-22443	263	4	temp	temp	NOUN
brj-22443	263	5	(	(	PUNCT
brj-22443	263	6	maxfz	maxfz	NOUN
brj-22443	263	7	)	)	PUNCT
brj-22443	263	8	-2.2363	-2.2363	PROPN
brj-22443	263	9	-0.5918	-0.5918	NOUN
brj-22443	263	10	-0.01220	-0.01220	NOUN
brj-22443	263	11	-0.00780	-0.00780	PROPN
brj-22443	264	1	temp	temp	NOUN
brj-22443	264	2	(	(	PUNCT
brj-22443	264	3	peripherycd	peripherycd	PROPN
brj-22443	264	4	)	)	PUNCT
brj-22443	264	5	-2.9154	-2.9154	PROPN
brj-22443	264	6	-0.5863	-0.5863	VERB
brj-22443	265	1	0.00160	0.00160	NUM
brj-22443	265	2	0.00040	0.00040	NUM
brj-22443	265	3	*	*	PUNCT
brj-22443	265	4	based	base	VERB
brj-22443	265	5	on	on	ADP
brj-22443	265	6	the	the	DET
brj-22443	265	7	inputs	input	NOUN
brj-22443	265	8	:	:	PUNCT
brj-22443	265	9	ux1	ux1	PROPN
brj-22443	265	10	=	=	PUNCT
brj-22443	266	1	[	[	X
brj-22443	266	2	spe	spe	X
brj-22443	266	3	,	,	PUNCT
brj-22443	266	4	dilfz	dilfz	ADJ
brj-22443	266	5	,	,	PUNCT
brj-22443	266	6	dilcd	dilcd	NOUN
brj-22443	266	7	,	,	PUNCT
brj-22443	266	8	gapfz	gapfz	NOUN
brj-22443	266	9	,	,	PUNCT
brj-22443	266	10	gapcd	gapcd	NOUN
brj-22443	266	11	,	,	PUNCT
brj-22443	266	12	chipq	chipq	NOUN
brj-22443	266	13	]	]	PUNCT
brj-22443	266	14	and	and	CCONJ
brj-22443	266	15	ux2	ux2	PROPN
brj-22443	266	16	=	=	PUNCT
brj-22443	267	1	[	[	X
brj-22443	267	2	spe	spe	X
brj-22443	267	3	,	,	PUNCT
brj-22443	267	4	dilfz	dilfz	ADJ
brj-22443	267	5	,	,	PUNCT
brj-22443	267	6	dilcd	dilcd	NOUN
brj-22443	267	7	,	,	PUNCT
brj-22443	267	8	tinit	tinit	NOUN
brj-22443	267	9	tmaxfz	tmaxfz	PROPN
brj-22443	267	10	tcd(per	tcd(per	X
brj-22443	267	11	)	)	PUNCT
brj-22443	267	12	gapfz	gapfz	NOUN
brj-22443	267	13	,	,	PUNCT
brj-22443	267	14	gapcd	gapcd	NOUN
brj-22443	267	15	,	,	PUNCT
brj-22443	267	16	chipq	chipq	NOUN
brj-22443	267	17	]	]	X
brj-22443	267	18	,	,	PUNCT
brj-22443	267	19	respectively	respectively	ADV
brj-22443	267	20	some	some	PRON
brj-22443	267	21	of	of	ADP
brj-22443	267	22	the	the	DET
brj-22443	267	23	parameters	parameter	NOUN
brj-22443	267	24	seemed	seem	VERB
brj-22443	267	25	to	to	PART
brj-22443	267	26	converge	converge	VERB
brj-22443	267	27	when	when	SCONJ
brj-22443	267	28	the	the	DET
brj-22443	267	29	number	number	NOUN
brj-22443	267	30	of	of	ADP
brj-22443	267	31	frames	frame	NOUN
brj-22443	267	32	reached	reach	VERB
brj-22443	267	33	30	30	NUM
brj-22443	267	34	,	,	PUNCT
brj-22443	267	35	which	which	PRON
brj-22443	267	36	corresponds	correspond	VERB
brj-22443	267	37	to	to	ADP
brj-22443	267	38	about	about	ADP
brj-22443	267	39	240	240	NUM
brj-22443	267	40	h	h	NOUN
brj-22443	267	41	while	while	SCONJ
brj-22443	267	42	the	the	DET
brj-22443	267	43	parameters	parameter	NOUN
brj-22443	267	44	representing	represent	VERB
brj-22443	267	45	the	the	DET
brj-22443	267	46	dilution	dilution	NOUN
brj-22443	267	47	water	water	NOUN
brj-22443	267	48	feed	feed	NOUN
brj-22443	267	49	rate	rate	NOUN
brj-22443	267	50	are	be	AUX
brj-22443	267	51	more	more	ADV
brj-22443	267	52	cumbersome	cumbersome	ADJ
brj-22443	267	53	from	from	ADP
brj-22443	267	54	a	a	DET
brj-22443	267	55	stability	stability	NOUN
brj-22443	267	56	perspective	perspective	NOUN
brj-22443	267	57	.	.	PUNCT
brj-22443	268	1	when	when	SCONJ
brj-22443	268	2	studying	study	VERB
brj-22443	268	3	fig	fig	NOUN
brj-22443	268	4	.	.	PUNCT
brj-22443	269	1	7	7	NUM
brj-22443	269	2	,	,	PUNCT
brj-22443	269	3	it	it	PRON
brj-22443	269	4	is	be	AUX
brj-22443	269	5	obvious	obvious	ADJ
brj-22443	269	6	that	that	SCONJ
brj-22443	269	7	both	both	PRON
brj-22443	269	8	fiber	fiber	NOUN
brj-22443	269	9	length	length	NOUN
brj-22443	269	10	and	and	CCONJ
brj-22443	269	11	shives(wide	shives(wide	PROPN
brj-22443	269	12	)	)	PUNCT
brj-22443	269	13	had	have	VERB
brj-22443	269	14	measurement	measurement	NOUN
brj-22443	269	15	uncertainties	uncertainty	NOUN
brj-22443	269	16	that	that	PRON
brj-22443	269	17	can	can	AUX
brj-22443	269	18	be	be	AUX
brj-22443	269	19	cumbersome	cumbersome	ADJ
brj-22443	269	20	to	to	PART
brj-22443	269	21	include	include	VERB
brj-22443	269	22	in	in	ADP
brj-22443	269	23	a	a	DET
brj-22443	269	24	modeling	modeling	NOUN
brj-22443	269	25	procedure	procedure	NOUN
brj-22443	269	26	.	.	PUNCT
brj-22443	270	1	to	to	PART
brj-22443	270	2	understand	understand	VERB
brj-22443	270	3	such	such	ADJ
brj-22443	270	4	uncertainties	uncertainty	NOUN
brj-22443	270	5	in	in	ADP
brj-22443	270	6	the	the	DET
brj-22443	270	7	pulp	pulp	NOUN
brj-22443	270	8	property	property	NOUN
brj-22443	270	9	measurements	measurement	NOUN
brj-22443	270	10	,	,	PUNCT
brj-22443	270	11	it	it	PRON
brj-22443	270	12	is	be	AUX
brj-22443	270	13	interesting	interesting	ADJ
brj-22443	270	14	to	to	PART
brj-22443	270	15	analyze	analyze	VERB
brj-22443	270	16	r2	r2	PROPN
brj-22443	270	17	versus	versus	ADP
brj-22443	270	18	the	the	DET
brj-22443	270	19	window	window	NOUN
brj-22443	270	20	size	size	NOUN
brj-22443	270	21	of	of	ADP
brj-22443	270	22	a	a	DET
brj-22443	270	23	moving	move	VERB
brj-22443	270	24	average	average	ADJ
brj-22443	270	25	filter	filter	NOUN
brj-22443	270	26	applied	apply	VERB
brj-22443	270	27	on	on	ADP
brj-22443	270	28	model	model	NOUN
brj-22443	270	29	inputs	input	NOUN
brj-22443	270	30	and	and	CCONJ
brj-22443	270	31	outputs	output	NOUN
brj-22443	270	32	(	(	PUNCT
brj-22443	270	33	ljung	ljung	ADJ
brj-22443	270	34	1999	1999	NUM
brj-22443	270	35	)	)	PUNCT
brj-22443	270	36	.	.	PUNCT
brj-22443	271	1	as	as	SCONJ
brj-22443	271	2	can	can	AUX
brj-22443	271	3	be	be	AUX
brj-22443	271	4	seen	see	VERB
brj-22443	271	5	in	in	ADP
brj-22443	271	6	fig	fig	NOUN
brj-22443	271	7	.	.	PUNCT
brj-22443	272	1	9	9	NUM
brj-22443	272	2	,	,	PUNCT
brj-22443	272	3	a	a	DET
brj-22443	272	4	window	window	NOUN
brj-22443	272	5	size	size	NOUN
brj-22443	272	6	of	of	ADP
brj-22443	272	7	about	about	ADV
brj-22443	272	8	4000	4000	NUM
brj-22443	272	9	samples	sample	NOUN
brj-22443	272	10	seemed	seem	VERB
brj-22443	272	11	to	to	PART
brj-22443	272	12	be	be	AUX
brj-22443	272	13	the	the	DET
brj-22443	272	14	best	good	ADJ
brj-22443	272	15	for	for	ADP
brj-22443	272	16	the	the	DET
brj-22443	272	17	two	two	NUM
brj-22443	272	18	sets	set	NOUN
brj-22443	272	19	of	of	ADP
brj-22443	272	20	predictors	predictor	NOUN
brj-22443	272	21	in	in	ADP
brj-22443	272	22	table	table	NOUN
brj-22443	272	23	2	2	NUM
brj-22443	272	24	,	,	PUNCT
brj-22443	272	25	although	although	SCONJ
brj-22443	272	26	the	the	DET
brj-22443	272	27	absolute	absolute	ADJ
brj-22443	272	28	values	value	NOUN
brj-22443	272	29	for	for	ADP
brj-22443	272	30	the	the	DET
brj-22443	272	31	coefficient	coefficient	NOUN
brj-22443	272	32	of	of	ADP
brj-22443	272	33	determinations	determination	NOUN
brj-22443	272	34	are	be	AUX
brj-22443	272	35	questionable	questionable	ADJ
brj-22443	272	36	.	.	PUNCT
brj-22443	273	1	it	it	PRON
brj-22443	273	2	is	be	AUX
brj-22443	273	3	noteworthy	noteworthy	ADJ
brj-22443	273	4	,	,	PUNCT
brj-22443	273	5	however	however	ADV
brj-22443	273	6	,	,	PUNCT
brj-22443	273	7	that	that	SCONJ
brj-22443	273	8	the	the	DET
brj-22443	273	9	introduction	introduction	NOUN
brj-22443	273	10	of	of	ADP
brj-22443	273	11	internal	internal	ADJ
brj-22443	273	12	states	state	NOUN
brj-22443	273	13	seemed	seem	VERB
brj-22443	273	14	to	to	PART
brj-22443	273	15	improve	improve	VERB
brj-22443	273	16	the	the	DET
brj-22443	273	17	prediction	prediction	NOUN
brj-22443	273	18	,	,	PUNCT
brj-22443	273	19	as	as	SCONJ
brj-22443	273	20	discussed	discuss	VERB
brj-22443	273	21	below	below	ADV
brj-22443	273	22	.	.	PUNCT
brj-22443	274	1	peer	peer	NOUN
brj-22443	274	2	-	-	PUNCT
brj-22443	274	3	reviewed	review	VERB
brj-22443	274	4	article	article	NOUN
brj-22443	274	5	bioresources.com	bioresources.com	X
brj-22443	274	6	karlström	karlström	NOUN
brj-22443	274	7	et	et	PROPN
brj-22443	274	8	al	al	PROPN
brj-22443	274	9	.	.	PROPN
brj-22443	274	10	(	(	PUNCT
brj-22443	274	11	2023	2023	NUM
brj-22443	274	12	)	)	PUNCT
brj-22443	274	13	.	.	PUNCT
brj-22443	275	1	“	"	PUNCT
brj-22443	275	2	soft	soft	ADJ
brj-22443	275	3	sensors	sensor	NOUN
brj-22443	275	4	in	in	ADP
brj-22443	275	5	refining	refining	NOUN
brj-22443	275	6	,	,	PUNCT
brj-22443	275	7	”	"	PUNCT
brj-22443	275	8	bioresources	bioresource	NOUN
brj-22443	275	9	18(4	18(4	NUM
brj-22443	275	10	)	)	PUNCT
brj-22443	275	11	,	,	PUNCT
brj-22443	275	12	8163	8163	NUM
brj-22443	275	13	-	-	SYM
brj-22443	275	14	8186	8186	NUM
brj-22443	275	15	.	.	PUNCT
brj-22443	276	1	8176	8176	NUM
brj-22443	276	2	fig	fig	NOUN
brj-22443	276	3	.	.	PUNCT
brj-22443	277	1	8	8	X
brj-22443	277	2	.	.	PUNCT
brj-22443	277	3	model	model	NOUN
brj-22443	277	4	parameters	parameter	NOUN
brj-22443	277	5	(	(	PUNCT
brj-22443	277	6	dc	dc	PROPN
brj-22443	277	7	gains	gain	NOUN
brj-22443	277	8	)	)	PUNCT
brj-22443	277	9	for	for	ADP
brj-22443	277	10	fiber	fiber	NOUN
brj-22443	277	11	length	length	NOUN
brj-22443	277	12	related	relate	VERB
brj-22443	277	13	to	to	ADP
brj-22443	277	14	spe	spe	PROPN
brj-22443	277	15	(	(	PUNCT
brj-22443	277	16	a	a	NOUN
brj-22443	277	17	)	)	PUNCT
brj-22443	277	18	,	,	PUNCT
brj-22443	277	19	gapfz	gapfz	NOUN
brj-22443	277	20	(	(	PUNCT
brj-22443	277	21	b	b	NOUN
brj-22443	277	22	)	)	PUNCT
brj-22443	277	23	,	,	PUNCT
brj-22443	277	24	gapcd	gapcd	NOUN
brj-22443	277	25	(	(	PUNCT
brj-22443	277	26	b	b	NOUN
brj-22443	277	27	)	)	PUNCT
brj-22443	277	28	,	,	PUNCT
brj-22443	277	29	dilfz	dilfz	ADJ
brj-22443	277	30	(	(	PUNCT
brj-22443	277	31	c	c	NOUN
brj-22443	277	32	)	)	PUNCT
brj-22443	277	33	,	,	PUNCT
brj-22443	277	34	dilcd	dilcd	NOUN
brj-22443	277	35	(	(	PUNCT
brj-22443	277	36	c	c	NOUN
brj-22443	277	37	)	)	PUNCT
brj-22443	277	38	,	,	PUNCT
brj-22443	277	39	chipquality	chipquality	NOUN
brj-22443	277	40	(	(	PUNCT
brj-22443	277	41	d	d	NOUN
brj-22443	277	42	)	)	PUNCT
brj-22443	277	43	versus	versus	ADP
brj-22443	277	44	a	a	DET
brj-22443	277	45	consecutively	consecutively	ADV
brj-22443	277	46	increased	increase	VERB
brj-22443	277	47	data	datum	NOUN
brj-22443	277	48	set	set	VERB
brj-22443	277	49	based	base	VERB
brj-22443	277	50	on	on	ADP
brj-22443	277	51	the	the	DET
brj-22443	277	52	entire	entire	ADJ
brj-22443	277	53	set	set	NOUN
brj-22443	277	54	of	of	ADP
brj-22443	277	55	data	datum	NOUN
brj-22443	277	56	(	(	PUNCT
brj-22443	277	57	800	800	NUM
brj-22443	277	58	h	h	NOUN
brj-22443	277	59	)	)	PUNCT
brj-22443	277	60	fig	fig	NOUN
brj-22443	277	61	.	.	PUNCT
brj-22443	278	1	9	9	X
brj-22443	278	2	.	.	PUNCT
brj-22443	279	1	the	the	DET
brj-22443	279	2	coefficient	coefficient	NOUN
brj-22443	279	3	of	of	ADP
brj-22443	279	4	determination	determination	NOUN
brj-22443	279	5	for	for	ADP
brj-22443	279	6	the	the	DET
brj-22443	279	7	estimated	estimate	VERB
brj-22443	279	8	shives(wide	shives(wide	NOUN
brj-22443	279	9	)	)	PUNCT
brj-22443	279	10	using	use	VERB
brj-22443	279	11	three	three	NUM
brj-22443	279	12	different	different	ADJ
brj-22443	279	13	sets	set	NOUN
brj-22443	279	14	of	of	ADP
brj-22443	279	15	predictors	predictor	NOUN
brj-22443	279	16	versus	versus	ADP
brj-22443	279	17	a	a	DET
brj-22443	279	18	varying	vary	VERB
brj-22443	279	19	window	window	NOUN
brj-22443	279	20	size	size	NOUN
brj-22443	279	21	.	.	PUNCT
brj-22443	280	1	solid	solid	ADJ
brj-22443	280	2	:	:	PUNCT
brj-22443	280	3	ux	ux	PROPN
brj-22443	280	4	=	=	PUNCT
brj-22443	281	1	[	[	X
brj-22443	281	2	spe	spe	X
brj-22443	281	3	,	,	PUNCT
brj-22443	281	4	dilfz	dilfz	ADJ
brj-22443	281	5	,	,	PUNCT
brj-22443	281	6	dilcd	dilcd	NOUN
brj-22443	281	7	,	,	PUNCT
brj-22443	281	8	gapfz	gapfz	NOUN
brj-22443	281	9	,	,	PUNCT
brj-22443	281	10	gapcd	gapcd	NOUN
brj-22443	281	11	,	,	PUNCT
brj-22443	281	12	chipquality	chipquality	NOUN
brj-22443	281	13	]	]	PUNCT
brj-22443	281	14	.	.	PUNCT
brj-22443	282	1	dached	dache	VERB
brj-22443	282	2	:	:	PUNCT
brj-22443	282	3	ux	ux	PROPN
brj-22443	282	4	=	=	PUNCT
brj-22443	283	1	[	[	X
brj-22443	283	2	spe	spe	X
brj-22443	283	3	,	,	PUNCT
brj-22443	283	4	dilfz	dilfz	ADJ
brj-22443	283	5	,	,	PUNCT
brj-22443	283	6	dilcd	dilcd	NOUN
brj-22443	283	7	,	,	PUNCT
brj-22443	283	8	tinit	tinit	NOUN
brj-22443	283	9	,	,	PUNCT
brj-22443	283	10	tmaxfz	tmaxfz	NOUN
brj-22443	283	11	,	,	PUNCT
brj-22443	283	12	tcd	tcd	NOUN
brj-22443	283	13	(	(	PUNCT
brj-22443	283	14	per	per	ADP
brj-22443	283	15	)	)	PUNCT
brj-22443	283	16	,	,	PUNCT
brj-22443	283	17	gapfz	gapfz	NOUN
brj-22443	283	18	,	,	PUNCT
brj-22443	283	19	gapcd	gapcd	NOUN
brj-22443	283	20	,	,	PUNCT
brj-22443	283	21	chipquality	chipquality	NOUN
brj-22443	283	22	]	]	PUNCT
brj-22443	283	23	peer	peer	NOUN
brj-22443	283	24	-	-	PUNCT
brj-22443	283	25	reviewed	review	VERB
brj-22443	283	26	article	article	NOUN
brj-22443	283	27	bioresources.com	bioresources.com	X
brj-22443	283	28	karlström	karlström	NOUN
brj-22443	283	29	et	et	PROPN
brj-22443	283	30	al	al	PROPN
brj-22443	283	31	.	.	PROPN
brj-22443	283	32	(	(	PUNCT
brj-22443	283	33	2023	2023	NUM
brj-22443	283	34	)	)	PUNCT
brj-22443	283	35	.	.	PUNCT
brj-22443	284	1	“	"	PUNCT
brj-22443	284	2	soft	soft	ADJ
brj-22443	284	3	sensors	sensor	NOUN
brj-22443	284	4	in	in	ADP
brj-22443	284	5	refining	refining	NOUN
brj-22443	284	6	,	,	PUNCT
brj-22443	284	7	”	"	PUNCT
brj-22443	284	8	bioresources	bioresource	NOUN
brj-22443	284	9	18(4	18(4	NUM
brj-22443	284	10	)	)	PUNCT
brj-22443	284	11	,	,	PUNCT
brj-22443	284	12	8163	8163	NUM
brj-22443	284	13	-	-	SYM
brj-22443	284	14	8186	8186	NUM
brj-22443	284	15	.	.	PUNCT
brj-22443	285	1	8177	8177	NUM
brj-22443	285	2	model	model	NOUN
brj-22443	285	3	validation	validation	NOUN
brj-22443	285	4	it	it	PRON
brj-22443	285	5	is	be	AUX
brj-22443	285	6	important	important	ADJ
brj-22443	285	7	to	to	PART
brj-22443	285	8	choose	choose	VERB
brj-22443	285	9	the	the	DET
brj-22443	285	10	size	size	NOUN
brj-22443	285	11	of	of	ADP
brj-22443	285	12	the	the	DET
brj-22443	285	13	time	time	NOUN
brj-22443	285	14	series	series	NOUN
brj-22443	285	15	in	in	ADP
brj-22443	285	16	a	a	DET
brj-22443	285	17	proper	proper	ADJ
brj-22443	285	18	way	way	NOUN
brj-22443	285	19	to	to	PART
brj-22443	285	20	cover	cover	VERB
brj-22443	285	21	enough	enough	ADJ
brj-22443	285	22	process	process	NOUN
brj-22443	285	23	changes	change	NOUN
brj-22443	285	24	in	in	ADP
brj-22443	285	25	all	all	DET
brj-22443	285	26	predictors	predictor	NOUN
brj-22443	285	27	.	.	PUNCT
brj-22443	286	1	in	in	ADP
brj-22443	286	2	this	this	DET
brj-22443	286	3	paper	paper	NOUN
brj-22443	286	4	,	,	PUNCT
brj-22443	286	5	a	a	DET
brj-22443	286	6	1400	1400	NUM
brj-22443	286	7	-	-	PUNCT
brj-22443	286	8	h	h	NOUN
brj-22443	286	9	validation	validation	NOUN
brj-22443	286	10	set	set	NOUN
brj-22443	286	11	was	be	AUX
brj-22443	286	12	studied	study	VERB
brj-22443	286	13	.	.	PUNCT
brj-22443	287	1	to	to	PART
brj-22443	287	2	interpret	interpret	VERB
brj-22443	287	3	the	the	DET
brj-22443	287	4	validation	validation	NOUN
brj-22443	287	5	of	of	ADP
brj-22443	287	6	the	the	DET
brj-22443	287	7	responses	response	NOUN
brj-22443	287	8	,	,	PUNCT
brj-22443	287	9	a	a	DET
brj-22443	287	10	window	window	NOUN
brj-22443	287	11	size	size	NOUN
brj-22443	287	12	of	of	ADP
brj-22443	287	13	4000	4000	NUM
brj-22443	287	14	samples	sample	NOUN
brj-22443	287	15	(	(	PUNCT
brj-22443	287	16	i.e.	i.e.	X
brj-22443	287	17	,	,	PUNCT
brj-22443	287	18	about	about	ADV
brj-22443	287	19	7	7	NUM
brj-22443	287	20	h	h	NOUN
brj-22443	287	21	)	)	PUNCT
brj-22443	287	22	was	be	AUX
brj-22443	287	23	applied	apply	VERB
brj-22443	287	24	both	both	PRON
brj-22443	287	25	for	for	ADP
brj-22443	287	26	shives(wide	shives(wide	PROPN
brj-22443	287	27	)	)	PUNCT
brj-22443	287	28	and	and	CCONJ
brj-22443	287	29	fiber	fiber	NOUN
brj-22443	287	30	length	length	NOUN
brj-22443	287	31	to	to	PART
brj-22443	287	32	describe	describe	VERB
brj-22443	287	33	the	the	DET
brj-22443	287	34	uncertainties	uncertainty	NOUN
brj-22443	287	35	in	in	ADP
brj-22443	287	36	the	the	DET
brj-22443	287	37	pulp	pulp	NOUN
brj-22443	287	38	property	property	NOUN
brj-22443	287	39	measurements	measurement	NOUN
brj-22443	287	40	.	.	PUNCT
brj-22443	288	1	in	in	ADP
brj-22443	288	2	figs	fig	NOUN
brj-22443	288	3	.	.	PUNCT
brj-22443	289	1	10	10	NUM
brj-22443	289	2	and	and	CCONJ
brj-22443	289	3	11	11	NUM
brj-22443	289	4	,	,	PUNCT
brj-22443	289	5	where	where	SCONJ
brj-22443	289	6	the	the	DET
brj-22443	289	7	models	model	NOUN
brj-22443	289	8	described	describe	VERB
brj-22443	289	9	in	in	ADP
brj-22443	289	10	table	table	NOUN
brj-22443	289	11	2	2	NUM
brj-22443	289	12	were	be	AUX
brj-22443	289	13	visualized	visualize	VERB
brj-22443	289	14	before	before	ADP
brj-22443	289	15	and	and	CCONJ
brj-22443	289	16	after	after	ADP
brj-22443	289	17	filtering	filter	VERB
brj-22443	289	18	,	,	PUNCT
brj-22443	289	19	it	it	PRON
brj-22443	289	20	is	be	AUX
brj-22443	289	21	clear	clear	ADJ
brj-22443	289	22	that	that	SCONJ
brj-22443	289	23	most	most	ADJ
brj-22443	289	24	of	of	ADP
brj-22443	289	25	the	the	DET
brj-22443	289	26	dynamics	dynamic	NOUN
brj-22443	289	27	could	could	AUX
brj-22443	289	28	be	be	AUX
brj-22443	289	29	captured	capture	VERB
brj-22443	289	30	.	.	PUNCT
brj-22443	290	1	it	it	PRON
brj-22443	290	2	is	be	AUX
brj-22443	290	3	also	also	ADV
brj-22443	290	4	interesting	interesting	ADJ
brj-22443	290	5	to	to	PART
brj-22443	290	6	see	see	VERB
brj-22443	290	7	in	in	ADP
brj-22443	290	8	figs	fig	NOUN
brj-22443	290	9	.	.	PUNCT
brj-22443	291	1	10	10	NUM
brj-22443	291	2	and	and	CCONJ
brj-22443	291	3	11	11	NUM
brj-22443	291	4	that	that	PRON
brj-22443	291	5	the	the	DET
brj-22443	291	6	original	original	ADJ
brj-22443	291	7	models	model	NOUN
brj-22443	291	8	derived	derive	VERB
brj-22443	291	9	from	from	ADP
brj-22443	291	10	the	the	DET
brj-22443	291	11	training	training	NOUN
brj-22443	291	12	set	set	NOUN
brj-22443	291	13	(	(	PUNCT
brj-22443	291	14	case	case	NOUN
brj-22443	291	15	a	a	PRON
brj-22443	291	16	and	and	CCONJ
brj-22443	291	17	case	case	NOUN
brj-22443	291	18	f	f	X
brj-22443	291	19	)	)	PUNCT
brj-22443	291	20	seemed	seem	VERB
brj-22443	291	21	to	to	PART
brj-22443	291	22	follow	follow	VERB
brj-22443	291	23	the	the	DET
brj-22443	291	24	filtered	filter	VERB
brj-22443	291	25	measurements	measurement	NOUN
brj-22443	291	26	quite	quite	ADV
brj-22443	291	27	well	well	ADV
brj-22443	291	28	.	.	PUNCT
brj-22443	292	1	note	note	VERB
brj-22443	292	2	,	,	PUNCT
brj-22443	292	3	when	when	SCONJ
brj-22443	292	4	visualizing	visualize	VERB
brj-22443	292	5	the	the	DET
brj-22443	292	6	response	response	NOUN
brj-22443	292	7	in	in	ADP
brj-22443	292	8	shives(wide	shives(wide	PROPN
brj-22443	292	9	)	)	PUNCT
brj-22443	292	10	,	,	PUNCT
brj-22443	292	11	the	the	DET
brj-22443	292	12	predictors	predictor	NOUN
brj-22443	292	13	used	use	VERB
brj-22443	292	14	were	be	AUX
brj-22443	292	15	based	base	VERB
brj-22443	292	16	on	on	ADP
brj-22443	292	17	the	the	DET
brj-22443	292	18	external	external	ADJ
brj-22443	292	19	variables	variable	NOUN
brj-22443	292	20	,	,	PUNCT
brj-22443	292	21	fig	fig	NOUN
brj-22443	292	22	.	.	PUNCT
brj-22443	293	1	10	10	NUM
brj-22443	293	2	,	,	PUNCT
brj-22443	293	3	while	while	SCONJ
brj-22443	293	4	the	the	DET
brj-22443	293	5	predictors	predictor	NOUN
brj-22443	293	6	were	be	AUX
brj-22443	293	7	extended	extend	VERB
brj-22443	293	8	to	to	PART
brj-22443	293	9	comprise	comprise	VERB
brj-22443	293	10	both	both	CCONJ
brj-22443	293	11	external	external	ADJ
brj-22443	293	12	and	and	CCONJ
brj-22443	293	13	internal	internal	ADJ
brj-22443	293	14	variables	variable	NOUN
brj-22443	293	15	when	when	SCONJ
brj-22443	293	16	estimating	estimate	VERB
brj-22443	293	17	fiber	fiber	NOUN
brj-22443	293	18	length	length	NOUN
brj-22443	293	19	(	(	PUNCT
brj-22443	293	20	see	see	VERB
brj-22443	293	21	fig	fig	NOUN
brj-22443	293	22	.	.	PUNCT
brj-22443	294	1	11	11	NUM
brj-22443	294	2	)	)	PUNCT
brj-22443	294	3	.	.	PUNCT
brj-22443	295	1	it	it	PRON
brj-22443	295	2	is	be	AUX
brj-22443	295	3	obvious	obvious	ADJ
brj-22443	295	4	when	when	SCONJ
brj-22443	295	5	studying	study	VERB
brj-22443	295	6	the	the	DET
brj-22443	295	7	figures	figure	NOUN
brj-22443	295	8	that	that	SCONJ
brj-22443	295	9	all	all	DET
brj-22443	295	10	dynamics	dynamic	NOUN
brj-22443	295	11	were	be	AUX
brj-22443	295	12	not	not	PART
brj-22443	295	13	covered	cover	VERB
brj-22443	295	14	by	by	ADP
brj-22443	295	15	the	the	DET
brj-22443	295	16	models	model	NOUN
brj-22443	295	17	.	.	PUNCT
brj-22443	296	1	this	this	PRON
brj-22443	296	2	indicates	indicate	VERB
brj-22443	296	3	that	that	SCONJ
brj-22443	296	4	the	the	DET
brj-22443	296	5	number	number	NOUN
brj-22443	296	6	of	of	ADP
brj-22443	296	7	process	process	NOUN
brj-22443	296	8	variables	variable	NOUN
brj-22443	296	9	in	in	ADP
brj-22443	296	10	the	the	DET
brj-22443	296	11	prediction	prediction	NOUN
brj-22443	296	12	vector	vector	NOUN
brj-22443	296	13	should	should	AUX
brj-22443	296	14	be	be	AUX
brj-22443	296	15	increased	increase	VERB
brj-22443	296	16	further	far	ADV
brj-22443	296	17	.	.	PUNCT
brj-22443	297	1	this	this	PRON
brj-22443	297	2	will	will	AUX
brj-22443	297	3	be	be	AUX
brj-22443	297	4	analyzed	analyze	VERB
brj-22443	297	5	further	far	ADV
brj-22443	297	6	in	in	ADP
brj-22443	297	7	the	the	DET
brj-22443	297	8	outlook	outlook	NOUN
brj-22443	297	9	section	section	NOUN
brj-22443	297	10	below	below	ADV
brj-22443	297	11	.	.	PUNCT
brj-22443	298	1	fig	fig	NOUN
brj-22443	298	2	.	.	PUNCT
brj-22443	299	1	10	10	NUM
brj-22443	299	2	.	.	X
brj-22443	300	1	a	a	DET
brj-22443	300	2	)	)	PUNCT
brj-22443	300	3	measured	measured	ADJ
brj-22443	300	4	and	and	CCONJ
brj-22443	300	5	validated	validated	ADJ
brj-22443	300	6	shives(wide	shives(wide	NOUN
brj-22443	300	7	)	)	PUNCT
brj-22443	300	8	using	use	VERB
brj-22443	300	9	only	only	ADJ
brj-22443	300	10	external	external	ADJ
brj-22443	300	11	variables	variable	NOUN
brj-22443	300	12	as	as	ADP
brj-22443	300	13	model	model	NOUN
brj-22443	300	14	inputs	input	NOUN
brj-22443	300	15	.	.	PUNCT
brj-22443	301	1	red	red	ADJ
brj-22443	301	2	response	response	NOUN
brj-22443	301	3	represents	represent	VERB
brj-22443	301	4	the	the	DET
brj-22443	301	5	model	model	NOUN
brj-22443	301	6	based	base	VERB
brj-22443	301	7	on	on	ADP
brj-22443	301	8	the	the	DET
brj-22443	301	9	original	original	ADJ
brj-22443	301	10	training	training	NOUN
brj-22443	301	11	set	set	NOUN
brj-22443	301	12	,	,	PUNCT
brj-22443	301	13	while	while	SCONJ
brj-22443	301	14	the	the	DET
brj-22443	301	15	green	green	NOUN
brj-22443	301	16	refers	refer	VERB
brj-22443	301	17	to	to	ADP
brj-22443	301	18	a	a	DET
brj-22443	301	19	new	new	ADJ
brj-22443	301	20	model	model	NOUN
brj-22443	301	21	derived	derive	VERB
brj-22443	301	22	by	by	ADP
brj-22443	301	23	using	use	VERB
brj-22443	301	24	the	the	DET
brj-22443	301	25	validation	validation	NOUN
brj-22443	301	26	time	time	NOUN
brj-22443	301	27	series	series	NOUN
brj-22443	301	28	as	as	ADP
brj-22443	301	29	a	a	DET
brj-22443	301	30	training	training	NOUN
brj-22443	301	31	set	set	NOUN
brj-22443	301	32	,	,	PUNCT
brj-22443	301	33	as	as	SCONJ
brj-22443	301	34	shown	show	VERB
brj-22443	301	35	in	in	ADP
brj-22443	301	36	table	table	NOUN
brj-22443	301	37	2	2	NUM
brj-22443	301	38	.	.	SYM
brj-22443	301	39	b	b	X
brj-22443	301	40	)	)	PUNCT
brj-22443	301	41	filtered	filter	VERB
brj-22443	301	42	measurement	measurement	NOUN
brj-22443	301	43	of	of	ADP
brj-22443	301	44	shives(wide	shives(wide	PROPN
brj-22443	301	45	)	)	PUNCT
brj-22443	301	46	together	together	ADV
brj-22443	301	47	with	with	ADP
brj-22443	301	48	modelled	model	VERB
brj-22443	301	49	shives(wide	shives(wide	NOUN
brj-22443	301	50	)	)	PUNCT
brj-22443	301	51	to	to	PART
brj-22443	301	52	visualize	visualize	VERB
brj-22443	301	53	the	the	DET
brj-22443	301	54	noise	noise	NOUN
brj-22443	301	55	present	present	ADJ
brj-22443	301	56	in	in	ADP
brj-22443	301	57	the	the	DET
brj-22443	301	58	measurement	measurement	NOUN
brj-22443	301	59	.	.	PUNCT
brj-22443	302	1	peer	peer	NOUN
brj-22443	302	2	-	-	PUNCT
brj-22443	302	3	reviewed	review	VERB
brj-22443	302	4	article	article	NOUN
brj-22443	302	5	bioresources.com	bioresources.com	X
brj-22443	302	6	karlström	karlström	NOUN
brj-22443	302	7	et	et	PROPN
brj-22443	302	8	al	al	PROPN
brj-22443	302	9	.	.	PROPN
brj-22443	302	10	(	(	PUNCT
brj-22443	302	11	2023	2023	NUM
brj-22443	302	12	)	)	PUNCT
brj-22443	302	13	.	.	PUNCT
brj-22443	303	1	“	"	PUNCT
brj-22443	303	2	soft	soft	ADJ
brj-22443	303	3	sensors	sensor	NOUN
brj-22443	303	4	in	in	ADP
brj-22443	303	5	refining	refining	NOUN
brj-22443	303	6	,	,	PUNCT
brj-22443	303	7	”	"	PUNCT
brj-22443	303	8	bioresources	bioresource	NOUN
brj-22443	303	9	18(4	18(4	NUM
brj-22443	303	10	)	)	PUNCT
brj-22443	303	11	,	,	PUNCT
brj-22443	303	12	8163	8163	NUM
brj-22443	303	13	-	-	SYM
brj-22443	303	14	8186	8186	NUM
brj-22443	303	15	.	.	PUNCT
brj-22443	304	1	8178	8178	NUM
brj-22443	304	2	fig	fig	NOUN
brj-22443	304	3	.	.	PUNCT
brj-22443	305	1	11	11	NUM
brj-22443	305	2	.	.	X
brj-22443	306	1	a	a	DET
brj-22443	306	2	)	)	PUNCT
brj-22443	306	3	measured	measured	ADJ
brj-22443	306	4	and	and	CCONJ
brj-22443	306	5	validated	validated	ADJ
brj-22443	306	6	fiber	fiber	NOUN
brj-22443	306	7	length	length	NOUN
brj-22443	306	8	using	use	VERB
brj-22443	306	9	external	external	ADJ
brj-22443	306	10	and	and	CCONJ
brj-22443	306	11	internal	internal	ADJ
brj-22443	306	12	variables	variable	NOUN
brj-22443	306	13	as	as	ADP
brj-22443	306	14	model	model	NOUN
brj-22443	306	15	inputs	input	NOUN
brj-22443	306	16	.	.	PUNCT
brj-22443	307	1	the	the	DET
brj-22443	307	2	response	response	NOUN
brj-22443	307	3	in	in	ADP
brj-22443	307	4	red	red	ADJ
brj-22443	307	5	represents	represent	VERB
brj-22443	307	6	the	the	DET
brj-22443	307	7	model	model	NOUN
brj-22443	307	8	based	base	VERB
brj-22443	307	9	on	on	ADP
brj-22443	307	10	the	the	DET
brj-22443	307	11	original	original	ADJ
brj-22443	307	12	training	training	NOUN
brj-22443	307	13	set	set	NOUN
brj-22443	307	14	,	,	PUNCT
brj-22443	307	15	while	while	SCONJ
brj-22443	307	16	the	the	DET
brj-22443	307	17	response	response	NOUN
brj-22443	307	18	in	in	ADP
brj-22443	307	19	green	green	ADJ
brj-22443	307	20	refers	refer	VERB
brj-22443	307	21	to	to	ADP
brj-22443	307	22	a	a	DET
brj-22443	307	23	new	new	ADJ
brj-22443	307	24	model	model	NOUN
brj-22443	307	25	derived	derive	VERB
brj-22443	307	26	by	by	ADP
brj-22443	307	27	using	use	VERB
brj-22443	307	28	the	the	DET
brj-22443	307	29	validation	validation	NOUN
brj-22443	307	30	time	time	NOUN
brj-22443	307	31	series	series	NOUN
brj-22443	307	32	as	as	ADP
brj-22443	307	33	a	a	DET
brj-22443	307	34	training	training	NOUN
brj-22443	307	35	set	set	NOUN
brj-22443	307	36	,	,	PUNCT
brj-22443	307	37	as	as	SCONJ
brj-22443	307	38	shown	show	VERB
brj-22443	307	39	in	in	ADP
brj-22443	307	40	table	table	NOUN
brj-22443	307	41	2	2	NUM
brj-22443	307	42	.	.	SYM
brj-22443	308	1	b	b	X
brj-22443	308	2	)	)	PUNCT
brj-22443	308	3	filtered	filter	VERB
brj-22443	308	4	measurement	measurement	NOUN
brj-22443	308	5	of	of	ADP
brj-22443	308	6	fiber	fiber	NOUN
brj-22443	308	7	length	length	NOUN
brj-22443	308	8	together	together	ADV
brj-22443	308	9	with	with	ADP
brj-22443	308	10	modelled	model	VERB
brj-22443	308	11	fiber	fiber	NOUN
brj-22443	308	12	length	length	NOUN
brj-22443	308	13	.	.	PUNCT
brj-22443	309	1	outlook	outlook	NOUN
brj-22443	309	2	as	as	SCONJ
brj-22443	309	3	indicated	indicate	VERB
brj-22443	309	4	above	above	ADV
brj-22443	309	5	,	,	PUNCT
brj-22443	309	6	it	it	PRON
brj-22443	309	7	is	be	AUX
brj-22443	309	8	important	important	ADJ
brj-22443	309	9	to	to	PART
brj-22443	309	10	choose	choose	VERB
brj-22443	309	11	the	the	DET
brj-22443	309	12	best	good	ADJ
brj-22443	309	13	possible	possible	ADJ
brj-22443	309	14	set	set	NOUN
brj-22443	309	15	of	of	ADP
brj-22443	309	16	predictors	predictor	NOUN
brj-22443	309	17	.	.	PUNCT
brj-22443	310	1	a	a	DET
brj-22443	310	2	combination	combination	NOUN
brj-22443	310	3	of	of	ADP
brj-22443	310	4	external	external	ADJ
brj-22443	310	5	and	and	CCONJ
brj-22443	310	6	internal	internal	ADJ
brj-22443	310	7	variables	variable	NOUN
brj-22443	310	8	seems	seem	VERB
brj-22443	310	9	to	to	PART
brj-22443	310	10	be	be	AUX
brj-22443	310	11	favorable	favorable	ADJ
brj-22443	310	12	to	to	PART
brj-22443	310	13	use	use	VERB
brj-22443	310	14	,	,	PUNCT
brj-22443	310	15	at	at	ADP
brj-22443	310	16	least	least	ADJ
brj-22443	310	17	when	when	SCONJ
brj-22443	310	18	applying	apply	VERB
brj-22443	310	19	an	an	DET
brj-22443	310	20	r2	r2	NOUN
brj-22443	310	21	-	-	PUNCT
brj-22443	310	22	procedure	procedure	NOUN
brj-22443	310	23	,	,	PUNCT
brj-22443	310	24	as	as	SCONJ
brj-22443	310	25	outlined	outline	VERB
brj-22443	310	26	above	above	ADV
brj-22443	310	27	(	(	PUNCT
brj-22443	310	28	see	see	VERB
brj-22443	310	29	figs	fig	NOUN
brj-22443	310	30	.	.	PUNCT
brj-22443	311	1	9	9	NUM
brj-22443	311	2	through	through	ADP
brj-22443	311	3	11	11	NUM
brj-22443	311	4	)	)	PUNCT
brj-22443	311	5	.	.	PUNCT
brj-22443	312	1	one	one	NUM
brj-22443	312	2	key	key	ADJ
brj-22443	312	3	question	question	NOUN
brj-22443	312	4	is	be	AUX
brj-22443	312	5	whether	whether	SCONJ
brj-22443	312	6	the	the	DET
brj-22443	312	7	model	model	NOUN
brj-22443	312	8	can	can	AUX
brj-22443	312	9	be	be	AUX
brj-22443	312	10	improved	improve	VERB
brj-22443	312	11	by	by	ADP
brj-22443	312	12	introducing	introduce	VERB
brj-22443	312	13	even	even	ADV
brj-22443	312	14	more	more	ADV
brj-22443	312	15	internal	internal	ADJ
brj-22443	312	16	variables	variable	NOUN
brj-22443	312	17	in	in	ADP
brj-22443	312	18	the	the	DET
brj-22443	312	19	prediction	prediction	NOUN
brj-22443	312	20	vector	vector	NOUN
brj-22443	312	21	in	in	ADP
brj-22443	312	22	table	table	NOUN
brj-22443	312	23	2	2	NUM
brj-22443	312	24	.	.	PUNCT
brj-22443	313	1	the	the	DET
brj-22443	313	2	answer	answer	NOUN
brj-22443	313	3	is	be	AUX
brj-22443	313	4	yes	yes	INTJ
brj-22443	313	5	.	.	PUNCT
brj-22443	314	1	however	however	ADV
brj-22443	314	2	,	,	PUNCT
brj-22443	314	3	that	that	PRON
brj-22443	314	4	requires	require	VERB
brj-22443	314	5	access	access	NOUN
brj-22443	314	6	to	to	ADP
brj-22443	314	7	an	an	DET
brj-22443	314	8	on	on	ADP
brj-22443	314	9	-	-	PUNCT
brj-22443	314	10	line	line	NOUN
brj-22443	314	11	motor	motor	NOUN
brj-22443	314	12	-	-	PUNCT
brj-22443	314	13	driven	drive	VERB
brj-22443	314	14	soft	soft	ADJ
brj-22443	314	15	sensor	sensor	NOUN
brj-22443	314	16	,	,	PUNCT
brj-22443	314	17	as	as	SCONJ
brj-22443	314	18	described	describe	VERB
brj-22443	314	19	in	in	ADP
brj-22443	314	20	fig	fig	NOUN
brj-22443	314	21	.	.	PUNCT
brj-22443	315	1	2	2	NUM
brj-22443	315	2	.	.	X
brj-22443	315	3	as	as	SCONJ
brj-22443	315	4	can	can	AUX
brj-22443	315	5	be	be	AUX
brj-22443	315	6	seen	see	VERB
brj-22443	315	7	in	in	ADP
brj-22443	315	8	fig	fig	NOUN
brj-22443	315	9	.	.	PUNCT
brj-22443	316	1	12	12	NUM
brj-22443	316	2	,	,	PUNCT
brj-22443	316	3	additional	additional	ADJ
brj-22443	316	4	internal	internal	ADJ
brj-22443	316	5	variables	variable	NOUN
brj-22443	316	6	(	(	PUNCT
brj-22443	316	7	as	as	ADP
brj-22443	316	8	consistencies	consistency	NOUN
brj-22443	316	9	(	(	PUNCT
brj-22443	316	10	cfz	cfz	ADJ
brj-22443	316	11	,	,	PUNCT
brj-22443	316	12	ccd	ccd	NOUN
brj-22443	316	13	)	)	PUNCT
brj-22443	316	14	and	and	CCONJ
brj-22443	316	15	fiber	fiber	NOUN
brj-22443	316	16	residence	residence	PROPN
brj-22443	316	17	times	time	NOUN
brj-22443	316	18	(	(	PUNCT
brj-22443	316	19	resfz	resfz	PROPN
brj-22443	316	20	,	,	PUNCT
brj-22443	316	21	rescd	rescd	ADJ
brj-22443	316	22	)	)	PUNCT
brj-22443	316	23	together	together	ADV
brj-22443	316	24	with	with	ADP
brj-22443	316	25	backward	backward	ADJ
brj-22443	316	26	flowing	flow	VERB
brj-22443	316	27	steam	steam	NOUN
brj-22443	316	28	velocities	velocity	NOUN
brj-22443	316	29	)	)	PUNCT
brj-22443	316	30	improve	improve	VERB
brj-22443	316	31	the	the	DET
brj-22443	316	32	coefficient	coefficient	NOUN
brj-22443	316	33	of	of	ADP
brj-22443	316	34	determination	determination	NOUN
brj-22443	316	35	to	to	ADP
brj-22443	316	36	a	a	DET
brj-22443	316	37	more	more	ADV
brj-22443	316	38	expected	expect	VERB
brj-22443	316	39	level	level	NOUN
brj-22443	316	40	.	.	PUNCT
brj-22443	317	1	that	that	PRON
brj-22443	317	2	is	be	AUX
brj-22443	317	3	,	,	PUNCT
brj-22443	317	4	two	two	NUM
brj-22443	317	5	elements	element	NOUN
brj-22443	317	6	of	of	ADP
brj-22443	317	7	the	the	DET
brj-22443	317	8	steam	steam	NOUN
brj-22443	317	9	velocity	velocity	NOUN
brj-22443	317	10	vector	vector	NOUN
brj-22443	317	11	are	be	AUX
brj-22443	317	12	also	also	ADV
brj-22443	317	13	included	include	VERB
brj-22443	317	14	.	.	PUNCT
brj-22443	318	1	the	the	DET
brj-22443	318	2	vector	vector	NOUN
brj-22443	318	3	consists	consist	VERB
brj-22443	318	4	of	of	ADP
brj-22443	318	5	eight	eight	NUM
brj-22443	318	6	elements	element	NOUN
brj-22443	318	7	,	,	PUNCT
brj-22443	318	8	where	where	SCONJ
brj-22443	318	9	the	the	DET
brj-22443	318	10	5th	5th	NOUN
brj-22443	318	11	and	and	CCONJ
brj-22443	318	12	the	the	DET
brj-22443	318	13	last	last	ADJ
brj-22443	318	14	one	one	NOUN
brj-22443	318	15	before	before	SCONJ
brj-22443	318	16	the	the	DET
brj-22443	318	17	cd	cd	PROPN
brj-22443	318	18	-	-	PUNCT
brj-22443	318	19	zone	zone	NOUN
brj-22443	318	20	are	be	AUX
brj-22443	318	21	considered	consider	VERB
brj-22443	318	22	.	.	PUNCT
brj-22443	319	1	from	from	ADP
brj-22443	319	2	a	a	DET
brj-22443	319	3	statistical	statistical	ADJ
brj-22443	319	4	perspective	perspective	NOUN
brj-22443	319	5	,	,	PUNCT
brj-22443	319	6	this	this	PRON
brj-22443	319	7	is	be	AUX
brj-22443	319	8	promising	promise	VERB
brj-22443	319	9	,	,	PUNCT
brj-22443	319	10	as	as	SCONJ
brj-22443	319	11	the	the	DET
brj-22443	319	12	model	model	NOUN
brj-22443	319	13	must	must	AUX
brj-22443	319	14	cope	cope	VERB
brj-22443	319	15	with	with	ADP
brj-22443	319	16	several	several	ADJ
brj-22443	319	17	non	non	ADJ
brj-22443	319	18	-	-	ADJ
brj-22443	319	19	linear	linear	ADJ
brj-22443	319	20	process	process	NOUN
brj-22443	319	21	changes	change	NOUN
brj-22443	319	22	to	to	PART
brj-22443	319	23	ensure	ensure	VERB
brj-22443	319	24	robustness	robustness	NOUN
brj-22443	319	25	and	and	CCONJ
brj-22443	319	26	to	to	PART
brj-22443	319	27	confirm	confirm	VERB
brj-22443	319	28	that	that	SCONJ
brj-22443	319	29	the	the	DET
brj-22443	319	30	models	model	NOUN
brj-22443	319	31	are	be	AUX
brj-22443	319	32	useful	useful	ADJ
brj-22443	319	33	over	over	ADP
brj-22443	319	34	prolonged	prolonged	ADJ
brj-22443	319	35	periods	period	NOUN
brj-22443	319	36	for	for	ADP
brj-22443	319	37	on	on	ADP
brj-22443	319	38	-	-	PUNCT
brj-22443	319	39	line	line	NOUN
brj-22443	319	40	control	control	NOUN
brj-22443	319	41	applications	application	NOUN
brj-22443	319	42	.	.	PUNCT
brj-22443	320	1	as	as	SCONJ
brj-22443	320	2	shown	show	VERB
brj-22443	320	3	in	in	ADP
brj-22443	320	4	fig	fig	NOUN
brj-22443	320	5	.	.	PUNCT
brj-22443	321	1	13	13	NUM
brj-22443	321	2	,	,	PUNCT
brj-22443	321	3	the	the	DET
brj-22443	321	4	estimated	estimate	VERB
brj-22443	321	5	shives(wide	shives(wide	PROPN
brj-22443	321	6	)	)	PUNCT
brj-22443	321	7	seem	seem	VERB
brj-22443	321	8	reliable	reliable	ADJ
brj-22443	321	9	enough	enough	ADV
brj-22443	321	10	for	for	ADP
brj-22443	321	11	applications	application	NOUN
brj-22443	321	12	,	,	PUNCT
brj-22443	321	13	even	even	ADV
brj-22443	321	14	though	though	SCONJ
brj-22443	321	15	the	the	DET
brj-22443	321	16	r2	r2	PROPN
brj-22443	321	17	is	be	AUX
brj-22443	321	18	slightly	slightly	ADV
brj-22443	321	19	reduced	reduce	VERB
brj-22443	321	20	for	for	ADP
brj-22443	321	21	the	the	DET
brj-22443	321	22	validation	validation	NOUN
brj-22443	321	23	set	set	NOUN
brj-22443	321	24	(	(	PUNCT
brj-22443	321	25	see	see	VERB
brj-22443	321	26	fig	fig	NOUN
brj-22443	321	27	.	.	PUNCT
brj-22443	322	1	14	14	NUM
brj-22443	322	2	)	)	PUNCT
brj-22443	322	3	.	.	PUNCT
brj-22443	323	1	note	note	VERB
brj-22443	323	2	,	,	PUNCT
brj-22443	323	3	in	in	ADP
brj-22443	323	4	this	this	DET
brj-22443	323	5	case	case	NOUN
brj-22443	323	6	that	that	SCONJ
brj-22443	323	7	the	the	DET
brj-22443	323	8	absolute	absolute	ADJ
brj-22443	323	9	values	value	NOUN
brj-22443	323	10	of	of	ADP
brj-22443	323	11	the	the	DET
brj-22443	323	12	estimated	estimate	VERB
brj-22443	323	13	shives	shive	NOUN
brj-22443	323	14	are	be	AUX
brj-22443	323	15	included	include	VERB
brj-22443	323	16	instead	instead	ADV
brj-22443	323	17	of	of	ADP
brj-22443	323	18	peer	peer	NOUN
brj-22443	323	19	-	-	PUNCT
brj-22443	323	20	reviewed	review	VERB
brj-22443	323	21	article	article	NOUN
brj-22443	323	22	bioresources.com	bioresources.com	X
brj-22443	323	23	karlström	karlström	NOUN
brj-22443	323	24	et	et	PROPN
brj-22443	323	25	al	al	PROPN
brj-22443	323	26	.	.	PROPN
brj-22443	324	1	(	(	PUNCT
brj-22443	324	2	2023	2023	NUM
brj-22443	324	3	)	)	PUNCT
brj-22443	324	4	.	.	PUNCT
brj-22443	325	1	“	"	PUNCT
brj-22443	325	2	soft	soft	ADJ
brj-22443	325	3	sensors	sensor	NOUN
brj-22443	325	4	in	in	ADP
brj-22443	325	5	refining	refining	NOUN
brj-22443	325	6	,	,	PUNCT
brj-22443	325	7	”	"	PUNCT
brj-22443	325	8	bioresources	bioresource	NOUN
brj-22443	325	9	18(4	18(4	NUM
brj-22443	325	10	)	)	PUNCT
brj-22443	325	11	,	,	PUNCT
brj-22443	325	12	8163	8163	NUM
brj-22443	325	13	-	-	SYM
brj-22443	325	14	8186	8186	NUM
brj-22443	325	15	.	.	PUNCT
brj-22443	326	1	8179	8179	NUM
brj-22443	326	2	the	the	DET
brj-22443	326	3	detrended	detrende	VERB
brj-22443	326	4	values	value	NOUN
brj-22443	326	5	,	,	PUNCT
brj-22443	326	6	which	which	PRON
brj-22443	326	7	are	be	AUX
brj-22443	326	8	commonly	commonly	ADV
brj-22443	326	9	used	use	VERB
brj-22443	326	10	when	when	SCONJ
brj-22443	326	11	modeling	modeling	NOUN
brj-22443	326	12	processes	process	NOUN
brj-22443	326	13	in	in	ADP
brj-22443	326	14	general	general	ADJ
brj-22443	326	15	.	.	PUNCT
brj-22443	327	1	this	this	PRON
brj-22443	327	2	opens	open	VERB
brj-22443	327	3	for	for	ADP
brj-22443	327	4	further	further	ADJ
brj-22443	327	5	possibilities	possibility	NOUN
brj-22443	327	6	when	when	SCONJ
brj-22443	327	7	visualizing	visualize	VERB
brj-22443	327	8	the	the	DET
brj-22443	327	9	property	property	NOUN
brj-22443	327	10	for	for	ADP
brj-22443	327	11	process	process	NOUN
brj-22443	327	12	operators	operator	NOUN
brj-22443	327	13	in	in	ADP
brj-22443	327	14	future	future	ADJ
brj-22443	327	15	control	control	NOUN
brj-22443	327	16	applications	application	NOUN
brj-22443	327	17	.	.	PUNCT
brj-22443	328	1	fig	fig	NOUN
brj-22443	328	2	.	.	PUNCT
brj-22443	329	1	12	12	NUM
brj-22443	329	2	.	.	PUNCT
brj-22443	330	1	the	the	DET
brj-22443	330	2	coefficient	coefficient	NOUN
brj-22443	330	3	of	of	ADP
brj-22443	330	4	determination	determination	NOUN
brj-22443	330	5	for	for	ADP
brj-22443	330	6	the	the	DET
brj-22443	330	7	estimated	estimate	VERB
brj-22443	330	8	shives(wide	shives(wide	NOUN
brj-22443	330	9	)	)	PUNCT
brj-22443	330	10	using	use	VERB
brj-22443	330	11	three	three	NUM
brj-22443	330	12	different	different	ADJ
brj-22443	330	13	sets	set	NOUN
brj-22443	330	14	of	of	ADP
brj-22443	330	15	predictors	predictor	NOUN
brj-22443	330	16	versus	versus	ADP
brj-22443	330	17	a	a	DET
brj-22443	330	18	varying	vary	VERB
brj-22443	330	19	window	window	NOUN
brj-22443	330	20	size	size	NOUN
brj-22443	330	21	.	.	PUNCT
brj-22443	331	1	solid	solid	ADJ
brj-22443	331	2	:	:	PUNCT
brj-22443	331	3	ux	ux	PROPN
brj-22443	331	4	=	=	PUNCT
brj-22443	332	1	[	[	X
brj-22443	332	2	spe	spe	X
brj-22443	332	3	,	,	PUNCT
brj-22443	332	4	dilfz	dilfz	ADJ
brj-22443	332	5	,	,	PUNCT
brj-22443	332	6	dilcd	dilcd	NOUN
brj-22443	332	7	,	,	PUNCT
brj-22443	332	8	gapfz	gapfz	NOUN
brj-22443	332	9	,	,	PUNCT
brj-22443	332	10	gapcd	gapcd	NOUN
brj-22443	332	11	,	,	PUNCT
brj-22443	332	12	chipquality	chipquality	NOUN
brj-22443	332	13	]	]	PUNCT
brj-22443	332	14	.	.	PUNCT
brj-22443	333	1	dash	dash	NOUN
brj-22443	333	2	dot	dot	NOUN
brj-22443	333	3	:	:	PUNCT
brj-22443	333	4	ux	ux	NOUN
brj-22443	334	1	=	=	PUNCT
brj-22443	335	1	[	[	X
brj-22443	335	2	spe	spe	X
brj-22443	335	3	,	,	PUNCT
brj-22443	335	4	dilfz	dilfz	ADJ
brj-22443	335	5	,	,	PUNCT
brj-22443	335	6	dilcd	dilcd	NOUN
brj-22443	335	7	,	,	PUNCT
brj-22443	335	8	tinit	tinit	NOUN
brj-22443	335	9	,	,	PUNCT
brj-22443	335	10	tmaxfz	tmaxfz	NOUN
brj-22443	335	11	,	,	PUNCT
brj-22443	335	12	tcd(per),gapfz	tcd(per),gapfz	NOUN
brj-22443	335	13	,	,	PUNCT
brj-22443	335	14	gapcd	gapcd	NOUN
brj-22443	335	15	,	,	PUNCT
brj-22443	335	16	chipquality	chipquality	NOUN
brj-22443	335	17	,	,	PUNCT
brj-22443	335	18	cfz	cfz	PROPN
brj-22443	335	19	,	,	PUNCT
brj-22443	335	20	ccd	ccd	PROPN
brj-22443	335	21	,	,	PUNCT
brj-22443	335	22	resfz	resfz	NOUN
brj-22443	335	23	,	,	PUNCT
brj-22443	335	24	rescd	rescd	ADJ
brj-22443	335	25	,	,	PUNCT
brj-22443	335	26	steamfz	steamfz	NOUN
brj-22443	335	27	]	]	PUNCT
brj-22443	335	28	fig	fig	NOUN
brj-22443	335	29	.	.	PUNCT
brj-22443	336	1	13	13	NUM
brj-22443	336	2	.	.	PUNCT
brj-22443	336	3	filtered	filter	VERB
brj-22443	336	4	measures	measure	NOUN
brj-22443	336	5	of	of	ADP
brj-22443	336	6	shives(wide	shives(wide	NOUN
brj-22443	336	7	)	)	PUNCT
brj-22443	336	8	and	and	CCONJ
brj-22443	336	9	corresponding	correspond	VERB
brj-22443	336	10	training	training	NOUN
brj-22443	336	11	and	and	CCONJ
brj-22443	336	12	validation	validation	NOUN
brj-22443	336	13	sets	set	NOUN
brj-22443	336	14	.	.	PUNCT
brj-22443	337	1	the	the	DET
brj-22443	337	2	predictor	predictor	NOUN
brj-22443	337	3	vector	vector	NOUN
brj-22443	337	4	used	use	VERB
brj-22443	337	5	;	;	PUNCT
brj-22443	337	6	ux	ux	PROPN
brj-22443	337	7	=	=	PUNCT
brj-22443	338	1	[	[	X
brj-22443	338	2	spe	spe	X
brj-22443	338	3	,	,	PUNCT
brj-22443	338	4	dilfz	dilfz	ADJ
brj-22443	338	5	,	,	PUNCT
brj-22443	338	6	dilcd	dilcd	NOUN
brj-22443	338	7	,	,	PUNCT
brj-22443	338	8	tinit	tinit	NOUN
brj-22443	338	9	,	,	PUNCT
brj-22443	338	10	tmaxfz	tmaxfz	NOUN
brj-22443	338	11	,	,	PUNCT
brj-22443	338	12	tcd(per),gapfz	tcd(per),gapfz	NOUN
brj-22443	338	13	,	,	PUNCT
brj-22443	338	14	gapcd	gapcd	NOUN
brj-22443	338	15	,	,	PUNCT
brj-22443	338	16	chipquality	chipquality	NOUN
brj-22443	338	17	,	,	PUNCT
brj-22443	338	18	cfz	cfz	PROPN
brj-22443	338	19	,	,	PUNCT
brj-22443	338	20	ccd	ccd	PROPN
brj-22443	338	21	,	,	PUNCT
brj-22443	338	22	resfz	resfz	NOUN
brj-22443	338	23	,	,	PUNCT
brj-22443	338	24	rescd	rescd	ADJ
brj-22443	338	25	,	,	PUNCT
brj-22443	338	26	steamfz	steamfz	NOUN
brj-22443	338	27	]	]	PUNCT
brj-22443	338	28	.	.	PUNCT
brj-22443	339	1	peer	peer	NOUN
brj-22443	339	2	-	-	PUNCT
brj-22443	339	3	reviewed	review	VERB
brj-22443	339	4	article	article	NOUN
brj-22443	339	5	bioresources.com	bioresources.com	X
brj-22443	339	6	karlström	karlström	NOUN
brj-22443	339	7	et	et	PROPN
brj-22443	339	8	al	al	PROPN
brj-22443	339	9	.	.	PROPN
brj-22443	339	10	(	(	PUNCT
brj-22443	339	11	2023	2023	NUM
brj-22443	339	12	)	)	PUNCT
brj-22443	339	13	.	.	PUNCT
brj-22443	340	1	“	"	PUNCT
brj-22443	340	2	soft	soft	ADJ
brj-22443	340	3	sensors	sensor	NOUN
brj-22443	340	4	in	in	ADP
brj-22443	340	5	refining	refining	NOUN
brj-22443	340	6	,	,	PUNCT
brj-22443	340	7	”	"	PUNCT
brj-22443	340	8	bioresources	bioresource	NOUN
brj-22443	340	9	18(4	18(4	NUM
brj-22443	340	10	)	)	PUNCT
brj-22443	340	11	,	,	PUNCT
brj-22443	340	12	8163	8163	NUM
brj-22443	340	13	-	-	SYM
brj-22443	340	14	8186	8186	NUM
brj-22443	340	15	.	.	PUNCT
brj-22443	341	1	8180	8180	NUM
brj-22443	341	2	fig	fig	NOUN
brj-22443	341	3	.	.	PUNCT
brj-22443	342	1	14	14	NUM
brj-22443	342	2	.	.	PUNCT
brj-22443	343	1	the	the	DET
brj-22443	343	2	coefficient	coefficient	NOUN
brj-22443	343	3	of	of	ADP
brj-22443	343	4	determination	determination	NOUN
brj-22443	343	5	for	for	ADP
brj-22443	343	6	the	the	DET
brj-22443	343	7	estimated	estimate	VERB
brj-22443	343	8	shives(wide	shives(wide	PROPN
brj-22443	343	9	)	)	PUNCT
brj-22443	343	10	where	where	SCONJ
brj-22443	343	11	ux	ux	ADV
brj-22443	343	12	=	=	PUNCT
brj-22443	344	1	[	[	X
brj-22443	344	2	spe	spe	X
brj-22443	344	3	,	,	PUNCT
brj-22443	344	4	dilfz	dilfz	ADJ
brj-22443	344	5	,	,	PUNCT
brj-22443	344	6	dilcd	dilcd	NOUN
brj-22443	344	7	,	,	PUNCT
brj-22443	344	8	tinit	tinit	NOUN
brj-22443	344	9	,	,	PUNCT
brj-22443	344	10	tmaxfz	tmaxfz	NOUN
brj-22443	344	11	,	,	PUNCT
brj-22443	344	12	tcd(per	tcd(per	NUM
brj-22443	344	13	)	)	PUNCT
brj-22443	344	14	,	,	PUNCT
brj-22443	344	15	gapfz	gapfz	NOUN
brj-22443	344	16	,	,	PUNCT
brj-22443	344	17	gapcd	gapcd	NOUN
brj-22443	344	18	,	,	PUNCT
brj-22443	344	19	chipquality	chipquality	NOUN
brj-22443	344	20	,	,	PUNCT
brj-22443	344	21	cfz	cfz	PROPN
brj-22443	344	22	,	,	PUNCT
brj-22443	344	23	ccd	ccd	PROPN
brj-22443	344	24	,	,	PUNCT
brj-22443	344	25	resfz	resfz	NOUN
brj-22443	344	26	,	,	PUNCT
brj-22443	344	27	rescd	rescd	ADJ
brj-22443	344	28	,	,	PUNCT
brj-22443	344	29	steamfz	steamfz	NOUN
brj-22443	344	30	]	]	PUNCT
brj-22443	344	31	solid	solid	ADJ
brj-22443	344	32	line	line	NOUN
brj-22443	344	33	corresponds	correspond	VERB
brj-22443	344	34	to	to	ADP
brj-22443	344	35	the	the	DET
brj-22443	344	36	training	training	NOUN
brj-22443	344	37	set	set	NOUN
brj-22443	344	38	and	and	CCONJ
brj-22443	344	39	the	the	DET
brj-22443	344	40	dotted	dotted	ADJ
brj-22443	344	41	line	line	NOUN
brj-22443	344	42	refers	refer	VERB
brj-22443	344	43	to	to	ADP
brj-22443	344	44	the	the	DET
brj-22443	344	45	validation	validation	NOUN
brj-22443	344	46	set	set	VERB
brj-22443	344	47	conclusions	conclusion	NOUN
brj-22443	345	1	1	1	NUM
brj-22443	345	2	.	.	PUNCT
brj-22443	346	1	this	this	DET
brj-22443	346	2	study	study	NOUN
brj-22443	346	3	shows	show	VERB
brj-22443	346	4	that	that	SCONJ
brj-22443	346	5	it	it	PRON
brj-22443	346	6	is	be	AUX
brj-22443	346	7	possible	possible	ADJ
brj-22443	346	8	to	to	PART
brj-22443	346	9	estimate	estimate	VERB
brj-22443	346	10	pulp	pulp	NOUN
brj-22443	346	11	properties	property	NOUN
brj-22443	346	12	to	to	PART
brj-22443	346	13	foresee	foresee	VERB
brj-22443	346	14	the	the	DET
brj-22443	346	15	variations	variation	NOUN
brj-22443	346	16	directly	directly	ADV
brj-22443	346	17	in	in	ADP
brj-22443	346	18	the	the	DET
brj-22443	346	19	blow	blow	NOUN
brj-22443	346	20	-	-	PUNCT
brj-22443	346	21	line	line	NOUN
brj-22443	346	22	by	by	ADP
brj-22443	346	23	using	use	VERB
brj-22443	346	24	a	a	DET
brj-22443	346	25	system	system	NOUN
brj-22443	346	26	identification	identification	NOUN
brj-22443	346	27	approach	approach	NOUN
brj-22443	346	28	based	base	VERB
brj-22443	346	29	on	on	ADP
brj-22443	346	30	an	an	DET
brj-22443	346	31	arx	arx	PROPN
brj-22443	346	32	(	(	PUNCT
brj-22443	346	33	auto	auto	NOUN
brj-22443	346	34	-	-	PUNCT
brj-22443	346	35	regressive	regressive	ADJ
brj-22443	346	36	exogenous	exogenous	ADJ
brj-22443	346	37	model	model	NOUN
brj-22443	346	38	)	)	PUNCT
brj-22443	346	39	concept	concept	NOUN
brj-22443	346	40	.	.	PUNCT
brj-22443	347	1	2	2	X
brj-22443	347	2	.	.	X
brj-22443	347	3	this	this	DET
brj-22443	347	4	article	article	NOUN
brj-22443	347	5	considered	consider	VERB
brj-22443	347	6	the	the	DET
brj-22443	347	7	complete	complete	ADJ
brj-22443	347	8	dynamics	dynamic	NOUN
brj-22443	347	9	in	in	ADP
brj-22443	347	10	the	the	DET
brj-22443	347	11	ctmp	ctmp	NOUN
brj-22443	347	12	production	production	NOUN
brj-22443	347	13	line	line	NOUN
brj-22443	347	14	,	,	PUNCT
brj-22443	347	15	including	include	VERB
brj-22443	347	16	the	the	DET
brj-22443	347	17	latency	latency	NOUN
brj-22443	347	18	chest	chest	NOUN
brj-22443	347	19	and	and	CCONJ
brj-22443	347	20	delays	delay	NOUN
brj-22443	347	21	in	in	ADP
brj-22443	347	22	the	the	DET
brj-22443	347	23	pulp	pulp	NOUN
brj-22443	347	24	property	property	NOUN
brj-22443	347	25	measurement	measurement	NOUN
brj-22443	347	26	unit	unit	NOUN
brj-22443	347	27	.	.	PUNCT
brj-22443	348	1	this	this	DET
brj-22443	348	2	approach	approach	NOUN
brj-22443	348	3	is	be	AUX
brj-22443	348	4	suitable	suitable	ADJ
brj-22443	348	5	for	for	ADP
brj-22443	348	6	analyzing	analyze	VERB
brj-22443	348	7	larger	large	ADJ
brj-22443	348	8	data	datum	NOUN
brj-22443	348	9	sets	set	NOUN
brj-22443	348	10	over	over	ADP
brj-22443	348	11	long	long	ADJ
brj-22443	348	12	time	time	NOUN
brj-22443	348	13	periods	period	NOUN
brj-22443	348	14	.	.	PUNCT
brj-22443	349	1	when	when	SCONJ
brj-22443	349	2	pulp	pulp	NOUN
brj-22443	349	3	samples	sample	NOUN
brj-22443	349	4	are	be	AUX
brj-22443	349	5	taken	take	VERB
brj-22443	349	6	from	from	ADP
brj-22443	349	7	the	the	DET
brj-22443	349	8	blow	blow	NOUN
brj-22443	349	9	-	-	PUNCT
brj-22443	349	10	line	line	NOUN
brj-22443	349	11	,	,	PUNCT
brj-22443	349	12	then	then	ADV
brj-22443	349	13	the	the	DET
brj-22443	349	14	analysis	analysis	NOUN
brj-22443	349	15	,	,	PUNCT
brj-22443	349	16	based	base	VERB
brj-22443	349	17	on	on	ADP
brj-22443	349	18	a	a	DET
brj-22443	349	19	multivariate	multivariate	NOUN
brj-22443	349	20	static	static	ADJ
brj-22443	349	21	modeling	modeling	NOUN
brj-22443	349	22	approach	approach	NOUN
brj-22443	349	23	,	,	PUNCT
brj-22443	349	24	is	be	AUX
brj-22443	349	25	primarily	primarily	ADV
brj-22443	349	26	suitable	suitable	ADJ
brj-22443	349	27	for	for	ADP
brj-22443	349	28	small	small	ADJ
brj-22443	349	29	data	data	NOUN
brj-22443	349	30	sets	set	NOUN
brj-22443	349	31	.	.	PUNCT
brj-22443	350	1	3	3	X
brj-22443	350	2	.	.	X
brj-22443	350	3	through	through	ADP
brj-22443	350	4	introducing	introduce	VERB
brj-22443	350	5	primarily	primarily	ADV
brj-22443	350	6	external	external	ADJ
brj-22443	350	7	variables	variable	NOUN
brj-22443	350	8	,	,	PUNCT
brj-22443	350	9	such	such	ADJ
brj-22443	350	10	as	as	ADP
brj-22443	350	11	specific	specific	ADJ
brj-22443	350	12	energy	energy	NOUN
brj-22443	350	13	,	,	PUNCT
brj-22443	350	14	dilution	dilution	NOUN
brj-22443	350	15	water	water	NOUN
brj-22443	350	16	feed	feed	NOUN
brj-22443	350	17	rates	rate	NOUN
brj-22443	350	18	,	,	PUNCT
brj-22443	350	19	plate	plate	NOUN
brj-22443	350	20	gaps	gap	NOUN
brj-22443	350	21	,	,	PUNCT
brj-22443	350	22	in	in	ADP
brj-22443	350	23	each	each	DET
brj-22443	350	24	zone	zone	NOUN
brj-22443	350	25	together	together	ADV
brj-22443	350	26	with	with	ADP
brj-22443	350	27	the	the	DET
brj-22443	350	28	sawmill	sawmill	NOUN
brj-22443	350	29	chip	chip	NOUN
brj-22443	350	30	content	content	NOUN
brj-22443	350	31	as	as	ADP
brj-22443	350	32	inputs	input	NOUN
brj-22443	350	33	to	to	ADP
brj-22443	350	34	the	the	DET
brj-22443	350	35	models	model	NOUN
brj-22443	350	36	,	,	PUNCT
brj-22443	350	37	a	a	DET
brj-22443	350	38	fit	fit	NOUN
brj-22443	350	39	to	to	AUX
brj-22443	350	40	estimation	estimation	NOUN
brj-22443	350	41	data	datum	NOUN
brj-22443	350	42	of	of	ADP
brj-22443	350	43	about	about	ADV
brj-22443	350	44	70	70	NUM
brj-22443	350	45	to	to	PART
brj-22443	350	46	80	80	NUM
brj-22443	350	47	%	%	NOUN
brj-22443	350	48	prediction	prediction	NOUN
brj-22443	350	49	focus	focus	NOUN
brj-22443	350	50	can	can	AUX
brj-22443	350	51	be	be	AUX
brj-22443	350	52	reached	reach	VERB
brj-22443	350	53	.	.	PUNCT
brj-22443	351	1	the	the	DET
brj-22443	351	2	predictions	prediction	NOUN
brj-22443	351	3	are	be	AUX
brj-22443	351	4	reliable	reliable	ADJ
brj-22443	351	5	for	for	ADP
brj-22443	351	6	both	both	PRON
brj-22443	351	7	shives(wide	shives(wide	NOUN
brj-22443	351	8	)	)	PUNCT
brj-22443	351	9	and	and	CCONJ
brj-22443	351	10	fiber	fiber	NOUN
brj-22443	351	11	length	length	NOUN
brj-22443	351	12	,	,	PUNCT
brj-22443	351	13	which	which	PRON
brj-22443	351	14	indicates	indicate	VERB
brj-22443	351	15	that	that	SCONJ
brj-22443	351	16	it	it	PRON
brj-22443	351	17	should	should	AUX
brj-22443	351	18	be	be	AUX
brj-22443	351	19	possible	possible	ADJ
brj-22443	351	20	to	to	PART
brj-22443	351	21	study	study	VERB
brj-22443	351	22	other	other	ADJ
brj-22443	351	23	pulp	pulp	NOUN
brj-22443	351	24	properties	property	NOUN
brj-22443	351	25	as	as	ADV
brj-22443	351	26	well	well	ADV
brj-22443	351	27	.	.	PUNCT
brj-22443	352	1	4	4	X
brj-22443	352	2	.	.	X
brj-22443	352	3	findings	finding	NOUN
brj-22443	352	4	of	of	ADP
brj-22443	352	5	this	this	DET
brj-22443	352	6	work	work	NOUN
brj-22443	352	7	also	also	ADV
brj-22443	352	8	indicate	indicate	VERB
brj-22443	352	9	how	how	SCONJ
brj-22443	352	10	fast	fast	ADJ
brj-22443	352	11	control	control	NOUN
brj-22443	352	12	concepts	concept	NOUN
brj-22443	352	13	can	can	AUX
brj-22443	352	14	be	be	AUX
brj-22443	352	15	introduced	introduce	VERB
brj-22443	352	16	on	on	ADP
brj-22443	352	17	-	-	PUNCT
brj-22443	352	18	line	line	NOUN
brj-22443	352	19	by	by	ADP
brj-22443	352	20	using	use	VERB
brj-22443	352	21	the	the	DET
brj-22443	352	22	derived	derive	VERB
brj-22443	352	23	low	low	ADJ
brj-22443	352	24	-	-	PUNCT
brj-22443	352	25	frequency	frequency	NOUN
brj-22443	352	26	gains	gain	NOUN
brj-22443	352	27	.	.	PUNCT
brj-22443	353	1	thereby	thereby	ADV
brj-22443	353	2	,	,	PUNCT
brj-22443	353	3	the	the	DET
brj-22443	353	4	pulp	pulp	NOUN
brj-22443	353	5	property	property	NOUN
brj-22443	353	6	can	can	AUX
brj-22443	353	7	be	be	AUX
brj-22443	353	8	derived	derive	VERB
brj-22443	353	9	every	every	DET
brj-22443	353	10	second	second	ADJ
brj-22443	353	11	compared	compare	VERB
brj-22443	353	12	with	with	ADP
brj-22443	353	13	the	the	DET
brj-22443	353	14	current	current	ADJ
brj-22443	353	15	practice	practice	NOUN
brj-22443	353	16	of	of	ADP
brj-22443	353	17	using	use	VERB
brj-22443	353	18	pulp	pulp	NOUN
brj-22443	353	19	measurement	measurement	NOUN
brj-22443	353	20	devices	device	NOUN
brj-22443	353	21	,	,	PUNCT
brj-22443	353	22	which	which	PRON
brj-22443	353	23	are	be	AUX
brj-22443	353	24	often	often	ADV
brj-22443	353	25	positioned	position	VERB
brj-22443	353	26	after	after	ADP
brj-22443	353	27	the	the	DET
brj-22443	353	28	latency	latency	NOUN
brj-22443	353	29	chest	chest	NOUN
brj-22443	353	30	,	,	PUNCT
brj-22443	353	31	which	which	PRON
brj-22443	353	32	results	result	VERB
brj-22443	353	33	in	in	ADP
brj-22443	353	34	a	a	DET
brj-22443	353	35	long	long	ADJ
brj-22443	353	36	response	response	NOUN
brj-22443	353	37	time	time	NOUN
brj-22443	353	38	and	and	CCONJ
brj-22443	353	39	slow	slow	ADJ
brj-22443	353	40	sampling	sampling	NOUN
brj-22443	353	41	rate	rate	NOUN
brj-22443	353	42	of	of	ADP
brj-22443	353	43	≥	≥	NOUN
brj-22443	353	44	30	30	NUM
brj-22443	353	45	to	to	PART
brj-22443	353	46	40	40	NUM
brj-22443	353	47	min	min	NOUN
brj-22443	353	48	.	.	PROPN
brj-22443	353	49	5	5	NUM
brj-22443	353	50	.	.	PUNCT
brj-22443	353	51	because	because	SCONJ
brj-22443	353	52	of	of	ADP
brj-22443	353	53	the	the	DET
brj-22443	353	54	results	result	NOUN
brj-22443	353	55	presented	present	VERB
brj-22443	353	56	here	here	ADV
brj-22443	353	57	,	,	PUNCT
brj-22443	353	58	it	it	PRON
brj-22443	353	59	is	be	AUX
brj-22443	353	60	interesting	interesting	ADJ
brj-22443	353	61	to	to	PART
brj-22443	353	62	link	link	VERB
brj-22443	353	63	the	the	DET
brj-22443	353	64	results	result	NOUN
brj-22443	353	65	to	to	ADP
brj-22443	353	66	former	former	ADJ
brj-22443	353	67	results	result	NOUN
brj-22443	353	68	based	base	VERB
brj-22443	353	69	on	on	ADP
brj-22443	353	70	handsheet	handsheet	ADJ
brj-22443	353	71	properties	property	NOUN
brj-22443	353	72	reported	report	VERB
brj-22443	353	73	the	the	DET
brj-22443	353	74	authors	author	NOUN
brj-22443	353	75	’	’	PART
brj-22443	353	76	previous	previous	ADJ
brj-22443	353	77	work	work	NOUN
brj-22443	353	78	,	,	PUNCT
brj-22443	353	79	primarily	primarily	ADV
brj-22443	353	80	sheet	sheet	NOUN
brj-22443	353	81	density	density	NOUN
brj-22443	353	82	,	,	PUNCT
brj-22443	353	83	tensile	tensile	NOUN
brj-22443	353	84	index	index	NOUN
brj-22443	353	85	,	,	PUNCT
brj-22443	353	86	scott	scott	NOUN
brj-22443	353	87	-	-	PUNCT
brj-22443	353	88	bond	bond	NOUN
brj-22443	353	89	,	,	PUNCT
brj-22443	353	90	and	and	CCONJ
brj-22443	353	91	z	z	NOUN
brj-22443	353	92	-	-	PUNCT
brj-22443	353	93	strength	strength	NOUN
brj-22443	353	94	.	.	PUNCT
brj-22443	354	1	peer	peer	NOUN
brj-22443	354	2	-	-	PUNCT
brj-22443	354	3	reviewed	review	VERB
brj-22443	354	4	article	article	NOUN
brj-22443	354	5	bioresources.com	bioresources.com	X
brj-22443	354	6	karlström	karlström	NOUN
brj-22443	354	7	et	et	PROPN
brj-22443	354	8	al	al	PROPN
brj-22443	354	9	.	.	PROPN
brj-22443	354	10	(	(	PUNCT
brj-22443	354	11	2023	2023	NUM
brj-22443	354	12	)	)	PUNCT
brj-22443	354	13	.	.	PUNCT
brj-22443	355	1	“	"	PUNCT
brj-22443	355	2	soft	soft	ADJ
brj-22443	355	3	sensors	sensor	NOUN
brj-22443	355	4	in	in	ADP
brj-22443	355	5	refining	refining	NOUN
brj-22443	355	6	,	,	PUNCT
brj-22443	355	7	”	"	PUNCT
brj-22443	355	8	bioresources	bioresource	NOUN
brj-22443	355	9	18(4	18(4	NUM
brj-22443	355	10	)	)	PUNCT
brj-22443	355	11	,	,	PUNCT
brj-22443	355	12	8163	8163	NUM
brj-22443	355	13	-	-	SYM
brj-22443	355	14	8186	8186	NUM
brj-22443	355	15	.	.	PUNCT
brj-22443	356	1	8181	8181	NUM
brj-22443	356	2	acknowledgements	acknowledgement	VERB
brj-22443	356	3	the	the	DET
brj-22443	356	4	authors	author	NOUN
brj-22443	356	5	gratefully	gratefully	ADV
brj-22443	356	6	acknowledge	acknowledge	VERB
brj-22443	356	7	the	the	DET
brj-22443	356	8	funding	funding	NOUN
brj-22443	356	9	of	of	ADP
brj-22443	356	10	the	the	DET
brj-22443	356	11	swedish	swedish	PROPN
brj-22443	356	12	energy	energy	NOUN
brj-22443	356	13	agency	agency	NOUN
brj-22443	356	14	and	and	CCONJ
brj-22443	356	15	storaenso	storaenso	PROPN
brj-22443	356	16	.	.	PUNCT
brj-22443	357	1	special	special	ADJ
brj-22443	357	2	thanks	thank	NOUN
brj-22443	357	3	go	go	VERB
brj-22443	357	4	to	to	ADP
brj-22443	357	5	the	the	DET
brj-22443	357	6	storaenso	storaenso	PROPN
brj-22443	357	7	skoghall	skoghall	PROPN
brj-22443	357	8	mill	mill	NOUN
brj-22443	357	9	for	for	ADP
brj-22443	357	10	running	run	VERB
brj-22443	357	11	trials	trial	NOUN
brj-22443	357	12	and	and	CCONJ
brj-22443	357	13	providing	provide	VERB
brj-22443	357	14	the	the	DET
brj-22443	357	15	excellent	excellent	ADJ
brj-22443	357	16	laboratory	laboratory	NOUN
brj-22443	357	17	and	and	CCONJ
brj-22443	357	18	process	process	NOUN
brj-22443	357	19	data	datum	NOUN
brj-22443	357	20	used	use	VERB
brj-22443	357	21	in	in	ADP
brj-22443	357	22	this	this	DET
brj-22443	357	23	study	study	NOUN
brj-22443	357	24	.	.	PUNCT
brj-22443	358	1	references	reference	NOUN
brj-22443	358	2	cited	cite	VERB
brj-22443	358	3	bastin	bastin	PROPN
brj-22443	358	4	,	,	PUNCT
brj-22443	358	5	g.	g.	PROPN
brj-22443	358	6	,	,	PUNCT
brj-22443	358	7	and	and	CCONJ
brj-22443	358	8	dochain	dochain	NOUN
brj-22443	358	9	,	,	PUNCT
brj-22443	358	10	d.	d.	PROPN
brj-22443	358	11	(	(	PUNCT
brj-22443	358	12	1990	1990	NUM
brj-22443	358	13	)	)	PUNCT
brj-22443	358	14	.	.	PUNCT
brj-22443	359	1	on	on	ADP
brj-22443	359	2	-	-	PUNCT
brj-22443	359	3	line	line	NOUN
brj-22443	359	4	estimation	estimation	NOUN
brj-22443	359	5	and	and	CCONJ
brj-22443	359	6	adaptive	adaptive	ADJ
brj-22443	359	7	control	control	NOUN
brj-22443	359	8	of	of	ADP
brj-22443	359	9	bioreactors	bioreactor	NOUN
brj-22443	359	10	,	,	PUNCT
brj-22443	359	11	elsevier	elsevier	NOUN
brj-22443	359	12	,	,	PUNCT
brj-22443	359	13	amsterdam	amsterdam	PROPN
brj-22443	359	14	,	,	PUNCT
brj-22443	359	15	netherlands	netherlands	PROPN
brj-22443	359	16	.	.	PUNCT
brj-22443	360	1	bengtsson	bengtsson	PROPN
brj-22443	360	2	,	,	PUNCT
brj-22443	360	3	f.	f.	PROPN
brj-22443	360	4	,	,	PUNCT
brj-22443	360	5	karlström	karlström	PROPN
brj-22443	360	6	,	,	PUNCT
brj-22443	360	7	a.	a.	NOUN
brj-22443	360	8	,	,	PUNCT
brj-22443	360	9	and	and	CCONJ
brj-22443	360	10	hill	hill	PROPN
brj-22443	360	11	,	,	PUNCT
brj-22443	360	12	j.	j.	PROPN
brj-22443	360	13	(	(	PUNCT
brj-22443	360	14	2019	2019	NUM
brj-22443	360	15	)	)	PUNCT
brj-22443	360	16	.	.	PUNCT
brj-22443	361	1	“	"	PUNCT
brj-22443	361	2	deep	deep	ADJ
brj-22443	361	3	learning	learning	NOUN
brj-22443	361	4	in	in	ADP
brj-22443	361	5	refining	refining	NOUN
brj-22443	361	6	processes	process	NOUN
brj-22443	361	7	–	–	PUNCT
brj-22443	361	8	a	a	DET
brj-22443	361	9	pre	pre	NOUN
brj-22443	361	10	-	-	NOUN
brj-22443	361	11	study	study	NOUN
brj-22443	361	12	of	of	ADP
brj-22443	361	13	internal	internal	ADJ
brj-22443	361	14	and	and	CCONJ
brj-22443	361	15	external	external	ADJ
brj-22443	361	16	variables	variable	NOUN
brj-22443	361	17	impact	impact	NOUN
brj-22443	361	18	on	on	ADP
brj-22443	361	19	pulp	pulp	NOUN
brj-22443	361	20	properties	property	NOUN
brj-22443	361	21	,	,	PUNCT
brj-22443	361	22	”	"	PUNCT
brj-22443	361	23	in	in	ADP
brj-22443	361	24	:	:	PUNCT
brj-22443	361	25	11th	11th	ADJ
brj-22443	361	26	fundamental	fundamental	ADJ
brj-22443	361	27	mechanical	mechanical	ADJ
brj-22443	361	28	pulp	pulp	NOUN
brj-22443	361	29	research	research	NOUN
brj-22443	361	30	seminar	seminar	NOUN
brj-22443	361	31	,	,	PUNCT
brj-22443	361	32	norrköping	norrköping	NOUN
brj-22443	361	33	,	,	PUNCT
brj-22443	361	34	sweden	sweden	PROPN
brj-22443	361	35	.	.	PROPN
brj-22443	362	1	bengtsson	bengtsson	PROPN
brj-22443	362	2	,	,	PUNCT
brj-22443	362	3	f.	f.	PROPN
brj-22443	362	4	,	,	PUNCT
brj-22443	362	5	karlström	karlström	PROPN
brj-22443	362	6	,	,	PUNCT
brj-22443	362	7	a.	a.	NOUN
brj-22443	362	8	,	,	PUNCT
brj-22443	362	9	and	and	CCONJ
brj-22443	362	10	wik	wik	PROPN
brj-22443	362	11	,	,	PUNCT
brj-22443	362	12	t.	t.	PROPN
brj-22443	362	13	(	(	PUNCT
brj-22443	362	14	2021	2021	NUM
brj-22443	362	15	)	)	PUNCT
brj-22443	362	16	.	.	PUNCT
brj-22443	363	1	“	"	PUNCT
brj-22443	363	2	on	on	ADP
brj-22443	363	3	the	the	DET
brj-22443	363	4	modeling	modeling	NOUN
brj-22443	363	5	of	of	ADP
brj-22443	363	6	pulp	pulp	NOUN
brj-22443	363	7	properties	property	NOUN
brj-22443	363	8	in	in	ADP
brj-22443	363	9	ctmp	ctmp	NOUN
brj-22443	363	10	processes	process	NOUN
brj-22443	363	11	,	,	PUNCT
brj-22443	363	12	”	"	PUNCT
brj-22443	363	13	nord	nord	PROPN
brj-22443	363	14	.	.	PUNCT
brj-22443	363	15	pulp	pulp	NOUN
brj-22443	363	16	paper	paper	NOUN
brj-22443	363	17	res	re	NOUN
brj-22443	363	18	.	.	PUNCT
brj-22443	364	1	j.	j.	PROPN
brj-22443	364	2	36(2	36(2	PROPN
brj-22443	364	3	)	)	PUNCT
brj-22443	364	4	,	,	PUNCT
brj-22443	364	5	234	234	NUM
brj-22443	364	6	-	-	SYM
brj-22443	364	7	248	248	NUM
brj-22443	364	8	.	.	PUNCT
brj-22443	365	1	doi	doi	NOUN
brj-22443	365	2	:	:	PUNCT
brj-22443	365	3	10.1515	10.1515	NUM
brj-22443	365	4	/	/	SYM
brj-22443	365	5	npprj2020	npprj2020	PROPN
brj-22443	365	6	-	-	PUNCT
brj-22443	365	7	0084	0084	NUM
brj-22443	365	8	belsley	belsley	NOUN
brj-22443	365	9	,	,	PUNCT
brj-22443	365	10	d.	d.	PROPN
brj-22443	365	11	a.	a.	PROPN
brj-22443	365	12	,	,	PUNCT
brj-22443	365	13	kuh	kuh	PROPN
brj-22443	365	14	,	,	PUNCT
brj-22443	365	15	e.	e.	PROPN
brj-22443	365	16	,	,	PUNCT
brj-22443	365	17	and	and	CCONJ
brj-22443	365	18	welsch	welsch	PROPN
brj-22443	365	19	,	,	PUNCT
brj-22443	365	20	r.	r.	PROPN
brj-22443	365	21	e.	e.	PROPN
brj-22443	365	22	(	(	PUNCT
brj-22443	365	23	1980	1980	NUM
brj-22443	365	24	)	)	PUNCT
brj-22443	365	25	.	.	PUNCT
brj-22443	366	1	regression	regression	NOUN
brj-22443	366	2	diagnostics	diagnostic	NOUN
brj-22443	366	3	.	.	PUNCT
brj-22443	367	1	identifying	identify	VERB
brj-22443	367	2	influential	influential	ADJ
brj-22443	367	3	data	datum	NOUN
brj-22443	367	4	and	and	CCONJ
brj-22443	367	5	sources	source	NOUN
brj-22443	367	6	of	of	ADP
brj-22443	367	7	collinearity	collinearity	NOUN
brj-22443	367	8	,	,	PUNCT
brj-22443	367	9	john	john	PROPN
brj-22443	367	10	wiley	wiley	PROPN
brj-22443	367	11	&	&	CCONJ
brj-22443	367	12	sons	sons	PROPN
brj-22443	367	13	,	,	PUNCT
brj-22443	367	14	hoboken	hoboken	PROPN
brj-22443	367	15	,	,	PUNCT
brj-22443	367	16	usa	usa	PROPN
brj-22443	367	17	.	.	PROPN
brj-22443	367	18	bohlin	bohlin	PROPN
brj-22443	367	19	,	,	PUNCT
brj-22443	367	20	t.	t.	PROPN
brj-22443	367	21	(	(	PUNCT
brj-22443	367	22	2006	2006	NUM
brj-22443	367	23	)	)	PUNCT
brj-22443	367	24	.	.	PUNCT
brj-22443	368	1	practical	practical	ADJ
brj-22443	368	2	grey	grey	ADJ
brj-22443	368	3	-	-	PUNCT
brj-22443	368	4	box	box	NOUN
brj-22443	368	5	process	process	NOUN
brj-22443	368	6	identification	identification	NOUN
brj-22443	368	7	theory	theory	NOUN
brj-22443	368	8	and	and	CCONJ
brj-22443	368	9	applications	application	NOUN
brj-22443	368	10	,	,	PUNCT
brj-22443	368	11	advances	advance	NOUN
brj-22443	368	12	in	in	ADP
brj-22443	368	13	industrial	industrial	ADJ
brj-22443	368	14	control	control	NOUN
brj-22443	368	15	,	,	PUNCT
brj-22443	368	16	springer	springer	NOUN
brj-22443	368	17	-	-	PUNCT
brj-22443	368	18	verlag	verlag	PROPN
brj-22443	368	19	,	,	PUNCT
brj-22443	368	20	london	london	PROPN
brj-22443	368	21	,	,	PUNCT
brj-22443	368	22	united	united	ADJ
brj-22443	368	23	kingdom	kingdom	PROPN
brj-22443	368	24	.	.	PUNCT
brj-22443	369	1	chruy	chruy	NOUN
brj-22443	369	2	,	,	PUNCT
brj-22443	369	3	a.	a.	NOUN
brj-22443	369	4	(	(	PUNCT
brj-22443	369	5	1997	1997	NUM
brj-22443	369	6	)	)	PUNCT
brj-22443	369	7	.	.	PUNCT
brj-22443	370	1	“	"	PUNCT
brj-22443	370	2	software	software	NOUN
brj-22443	370	3	sensors	sensor	NOUN
brj-22443	370	4	in	in	ADP
brj-22443	370	5	bioprocess	bioprocess	NOUN
brj-22443	370	6	engineering	engineering	NOUN
brj-22443	370	7	,	,	PUNCT
brj-22443	370	8	”	"	PUNCT
brj-22443	370	9	j.	j.	PROPN
brj-22443	370	10	biotechnol	biotechnol	PROPN
brj-22443	370	11	.	.	PUNCT
brj-22443	371	1	52(3	52(3	NUM
brj-22443	371	2	)	)	PUNCT
brj-22443	371	3	,	,	PUNCT
brj-22443	371	4	193	193	NUM
brj-22443	371	5	-	-	SYM
brj-22443	371	6	199	199	NUM
brj-22443	371	7	.	.	PUNCT
brj-22443	372	1	doi	doi	NOUN
brj-22443	372	2	:	:	PUNCT
brj-22443	372	3	10.1016	10.1016	NUM
brj-22443	372	4	/	/	SYM
brj-22443	372	5	s0168	s0168	NOUN
brj-22443	372	6	-	-	PUNCT
brj-22443	372	7	1656(96)01644	1656(96)01644	NUM
brj-22443	372	8	-	-	SYM
brj-22443	372	9	6	6	NUM
brj-22443	372	10	de	de	X
brj-22443	372	11	assis	assis	NOUN
brj-22443	372	12	,	,	PUNCT
brj-22443	372	13	a.	a.	NOUN
brj-22443	372	14	j.	j.	PROPN
brj-22443	372	15	,	,	PUNCT
brj-22443	372	16	and	and	CCONJ
brj-22443	372	17	filho	filho	PROPN
brj-22443	372	18	,	,	PUNCT
brj-22443	372	19	r.	r.	PROPN
brj-22443	372	20	m.	m.	PROPN
brj-22443	372	21	(	(	PUNCT
brj-22443	372	22	2000	2000	NUM
brj-22443	372	23	)	)	PUNCT
brj-22443	372	24	.	.	PUNCT
brj-22443	373	1	“	"	PUNCT
brj-22443	373	2	soft	soft	ADJ
brj-22443	373	3	sensors	sensor	NOUN
brj-22443	373	4	development	development	NOUN
brj-22443	373	5	for	for	ADP
brj-22443	373	6	on	on	ADP
brj-22443	373	7	-	-	PUNCT
brj-22443	373	8	line	line	NOUN
brj-22443	373	9	bioreactor	bioreactor	NOUN
brj-22443	373	10	state	state	NOUN
brj-22443	373	11	estimation	estimation	NOUN
brj-22443	373	12	,	,	PUNCT
brj-22443	373	13	”	"	PUNCT
brj-22443	373	14	comp	comp	NOUN
brj-22443	373	15	.	.	PUNCT
brj-22443	373	16	chem	chem	PROPN
brj-22443	373	17	.	.	PUNCT
brj-22443	374	1	eng	eng	PROPN
brj-22443	374	2	.	.	PUNCT
brj-22443	375	1	24(2	24(2	NUM
brj-22443	375	2	)	)	PUNCT
brj-22443	375	3	,	,	PUNCT
brj-22443	375	4	1099	1099	NUM
brj-22443	375	5	-	-	SYM
brj-22443	375	6	1103	1103	NUM
brj-22443	375	7	.	.	PUNCT
brj-22443	376	1	doi	doi	NOUN
brj-22443	376	2	:	:	PUNCT
brj-22443	376	3	10.1016	10.1016	NUM
brj-22443	376	4	/	/	SYM
brj-22443	376	5	s00981354(00)00489	s00981354(00)00489	NOUN
brj-22443	376	6	-	-	PUNCT
brj-22443	376	7	0	0	NUM
brj-22443	376	8	draper	draper	NOUN
brj-22443	376	9	,	,	PUNCT
brj-22443	376	10	n.	n.	PROPN
brj-22443	376	11	r.	r.	PROPN
brj-22443	376	12	,	,	PUNCT
brj-22443	376	13	and	and	CCONJ
brj-22443	376	14	smith	smith	PROPN
brj-22443	376	15	,	,	PUNCT
brj-22443	376	16	h.	h.	PROPN
brj-22443	376	17	(	(	PUNCT
brj-22443	376	18	1998	1998	NUM
brj-22443	376	19	)	)	PUNCT
brj-22443	376	20	.	.	PUNCT
brj-22443	377	1	applied	apply	VERB
brj-22443	377	2	regression	regression	NOUN
brj-22443	377	3	analysis	analysis	NOUN
brj-22443	377	4	,	,	PUNCT
brj-22443	377	5	3rd	3rd	ADJ
brj-22443	377	6	ed	ed	NOUN
brj-22443	377	7	.	.	PROPN
brj-22443	377	8	,	,	PUNCT
brj-22443	377	9	wiley	wiley	PROPN
brj-22443	377	10	,	,	PUNCT
brj-22443	377	11	new	new	PROPN
brj-22443	377	12	york	york	PROPN
brj-22443	377	13	,	,	PUNCT
brj-22443	377	14	ny	ny	PROPN
brj-22443	377	15	,	,	PUNCT
brj-22443	377	16	usa	usa	PROPN
brj-22443	377	17	.	.	PROPN
brj-22443	377	18	eriksson	eriksson	PROPN
brj-22443	377	19	,	,	PUNCT
brj-22443	377	20	k.	k.	PROPN
brj-22443	377	21	(	(	PUNCT
brj-22443	377	22	2005	2005	NUM
brj-22443	377	23	)	)	PUNCT
brj-22443	377	24	.	.	PUNCT
brj-22443	378	1	an	an	DET
brj-22443	378	2	entropy	entropy	ADV
brj-22443	378	3	-	-	PUNCT
brj-22443	378	4	based	base	VERB
brj-22443	378	5	modeling	modeling	NOUN
brj-22443	378	6	approach	approach	NOUN
brj-22443	378	7	to	to	ADP
brj-22443	378	8	internally	internally	ADV
brj-22443	378	9	interconnected	interconnect	VERB
brj-22443	378	10	tmp	tmp	NOUN
brj-22443	378	11	refining	refining	NOUN
brj-22443	378	12	processes	process	NOUN
brj-22443	378	13	,	,	PUNCT
brj-22443	378	14	licentiate	licentiate	NOUN
brj-22443	378	15	thesis	thesis	NOUN
brj-22443	378	16	,	,	PUNCT
brj-22443	378	17	chalmers	chalmer	VERB
brj-22443	378	18	university	university	NOUN
brj-22443	378	19	of	of	ADP
brj-22443	378	20	technology	technology	PROPN
brj-22443	378	21	,	,	PUNCT
brj-22443	378	22	göteborg	göteborg	PROPN
brj-22443	378	23	,	,	PUNCT
brj-22443	378	24	sweden	sweden	PROPN
brj-22443	379	1	.	.	PROPN
brj-22443	379	2	eriksson	eriksson	PROPN
brj-22443	379	3	,	,	PUNCT
brj-22443	379	4	k.	k.	PROPN
brj-22443	379	5	(	(	PUNCT
brj-22443	379	6	2009	2009	NUM
brj-22443	379	7	)	)	PUNCT
brj-22443	379	8	.	.	PUNCT
brj-22443	380	1	towards	towards	ADP
brj-22443	380	2	improved	improve	VERB
brj-22443	380	3	control	control	NOUN
brj-22443	380	4	of	of	ADP
brj-22443	380	5	tmp	tmp	NOUN
brj-22443	380	6	refining	refining	NOUN
brj-22443	380	7	processes	process	NOUN
brj-22443	380	8	,	,	PUNCT
brj-22443	380	9	ph.d	ph.d	PROPN
brj-22443	380	10	.	.	PUNCT
brj-22443	381	1	thesis	thesis	PROPN
brj-22443	381	2	,	,	PUNCT
brj-22443	381	3	chalmers	chalmer	VERB
brj-22443	381	4	university	university	NOUN
brj-22443	381	5	of	of	ADP
brj-22443	381	6	technology	technology	PROPN
brj-22443	381	7	,	,	PUNCT
brj-22443	381	8	göteborg	göteborg	PROPN
brj-22443	381	9	,	,	PUNCT
brj-22443	381	10	sweden	sweden	PROPN
brj-22443	381	11	.	.	PUNCT
brj-22443	382	1	ferritsius	ferritsius	PROPN
brj-22443	382	2	,	,	PUNCT
brj-22443	382	3	r.	r.	PROPN
brj-22443	382	4	,	,	PUNCT
brj-22443	382	5	ferritsius	ferritsius	PROPN
brj-22443	382	6	,	,	PUNCT
brj-22443	382	7	o.	o.	PROPN
brj-22443	382	8	,	,	PUNCT
brj-22443	382	9	hill	hill	PROPN
brj-22443	382	10	,	,	PUNCT
brj-22443	382	11	j.	j.	PROPN
brj-22443	382	12	,	,	PUNCT
brj-22443	382	13	karlström	karlström	PROPN
brj-22443	382	14	,	,	PUNCT
brj-22443	382	15	a.	a.	NOUN
brj-22443	382	16	,	,	PUNCT
brj-22443	382	17	and	and	CCONJ
brj-22443	382	18	ferritsius	ferritsius	PROPN
brj-22443	382	19	,	,	PUNCT
brj-22443	382	20	j.	j.	PROPN
brj-22443	382	21	(	(	PUNCT
brj-22443	382	22	2017	2017	NUM
brj-22443	382	23	)	)	PUNCT
brj-22443	382	24	.	.	PUNCT
brj-22443	383	1	“	"	PUNCT
brj-22443	383	2	process	process	NOUN
brj-22443	383	3	considerations	consideration	NOUN
brj-22443	383	4	and	and	CCONJ
brj-22443	383	5	its	its	PRON
brj-22443	383	6	demands	demand	NOUN
brj-22443	383	7	on	on	ADP
brj-22443	383	8	tmp	tmp	NOUN
brj-22443	383	9	property	property	NOUN
brj-22443	383	10	measurements	measurement	NOUN
brj-22443	383	11	–	–	PUNCT
brj-22443	383	12	a	a	DET
brj-22443	383	13	study	study	NOUN
brj-22443	383	14	on	on	ADP
brj-22443	383	15	tensile	tensile	NOUN
brj-22443	383	16	index	index	NOUN
brj-22443	383	17	,	,	PUNCT
brj-22443	383	18	”	"	PUNCT
brj-22443	383	19	nord	nord	PROPN
brj-22443	383	20	.	.	PUNCT
brj-22443	383	21	pulp	pulp	NOUN
brj-22443	383	22	paper	paper	NOUN
brj-22443	383	23	res	re	NOUN
brj-22443	383	24	.	.	PUNCT
brj-22443	384	1	j.	j.	PROPN
brj-22443	384	2	32(1	32(1	PROPN
brj-22443	384	3	)	)	PUNCT
brj-22443	384	4	,	,	PUNCT
brj-22443	384	5	45	45	NUM
brj-22443	384	6	-	-	SYM
brj-22443	384	7	53	53	NUM
brj-22443	384	8	.	.	PUNCT
brj-22443	385	1	doi	doi	NOUN
brj-22443	385	2	:	:	PUNCT
brj-22443	385	3	10.3183	10.3183	NUM
brj-22443	385	4	/	/	SYM
brj-22443	385	5	npprj-2017	npprj-2017	NOUN
brj-22443	385	6	-	-	PUNCT
brj-22443	385	7	32	32	NUM
brj-22443	385	8	-	-	PUNCT
brj-22443	385	9	01p045	01p045	NOUN
brj-22443	385	10	-	-	PUNCT
brj-22443	385	11	053	053	NUM
brj-22443	385	12	ferritsius	ferritsius	PROPN
brj-22443	385	13	,	,	PUNCT
brj-22443	385	14	r.	r.	PROPN
brj-22443	385	15	,	,	PUNCT
brj-22443	385	16	ferritsius	ferritsius	PROPN
brj-22443	385	17	,	,	PUNCT
brj-22443	385	18	o.	o.	PROPN
brj-22443	385	19	,	,	PUNCT
brj-22443	385	20	hill	hill	PROPN
brj-22443	385	21	,	,	PUNCT
brj-22443	385	22	j.	j.	PROPN
brj-22443	385	23	,	,	PUNCT
brj-22443	385	24	karlström	karlström	PROPN
brj-22443	385	25	,	,	PUNCT
brj-22443	385	26	a.	a.	NOUN
brj-22443	385	27	,	,	PUNCT
brj-22443	385	28	and	and	CCONJ
brj-22443	385	29	eriksson	eriksson	PROPN
brj-22443	385	30	,	,	PUNCT
brj-22443	385	31	k.	k.	PROPN
brj-22443	385	32	(	(	PUNCT
brj-22443	385	33	2018	2018	NUM
brj-22443	385	34	)	)	PUNCT
brj-22443	385	35	.	.	PUNCT
brj-22443	386	1	“	"	PUNCT
brj-22443	386	2	tmp	tmp	NOUN
brj-22443	386	3	properties	property	NOUN
brj-22443	386	4	and	and	CCONJ
brj-22443	386	5	process	process	NOUN
brj-22443	386	6	conditions	condition	NOUN
brj-22443	386	7	in	in	ADP
brj-22443	386	8	a	a	DET
brj-22443	386	9	cd82	cd82	PROPN
brj-22443	386	10	chip	chip	NOUN
brj-22443	386	11	refiner	refiner	NOUN
brj-22443	386	12	at	at	ADP
brj-22443	386	13	different	different	ADJ
brj-22443	386	14	operation	operation	NOUN
brj-22443	386	15	points	point	NOUN
brj-22443	386	16	part	part	NOUN
brj-22443	386	17	i	i	PRON
brj-22443	386	18	:	:	PUNCT
brj-22443	386	19	step	step	NOUN
brj-22443	386	20	changes	change	NOUN
brj-22443	386	21	of	of	ADP
brj-22443	386	22	the	the	DET
brj-22443	386	23	process	process	NOUN
brj-22443	386	24	variables	variable	NOUN
brj-22443	386	25	,	,	PUNCT
brj-22443	386	26	description	description	NOUN
brj-22443	386	27	of	of	ADP
brj-22443	386	28	the	the	DET
brj-22443	386	29	separate	separate	ADJ
brj-22443	386	30	tests	test	NOUN
brj-22443	386	31	,	,	PUNCT
brj-22443	386	32	”	"	PUNCT
brj-22443	386	33	nord	nord	PROPN
brj-22443	386	34	.	.	PUNCT
brj-22443	386	35	pulp	pulp	NOUN
brj-22443	386	36	paper	paper	NOUN
brj-22443	386	37	res	re	NOUN
brj-22443	386	38	.	.	PUNCT
brj-22443	387	1	j.	j.	PROPN
brj-22443	387	2	33(1	33(1	PROPN
brj-22443	387	3	)	)	PUNCT
brj-22443	387	4	,	,	PUNCT
brj-22443	387	5	82	82	NUM
brj-22443	387	6	-	-	SYM
brj-22443	387	7	94	94	NUM
brj-22443	387	8	.	.	PUNCT
brj-22443	388	1	doi	doi	NOUN
brj-22443	388	2	:	:	PUNCT
brj-22443	388	3	10.1515	10.1515	NUM
brj-22443	388	4	/	/	SYM
brj-22443	388	5	npprj-2018	npprj-2018	NOUN
brj-22443	388	6	-	-	PUNCT
brj-22443	388	7	3003	3003	NUM
brj-22443	388	8	ferritsius	ferritsius	NOUN
brj-22443	388	9	,	,	PUNCT
brj-22443	388	10	o.	o.	PROPN
brj-22443	388	11	,	,	PUNCT
brj-22443	388	12	ferritsius	ferritsius	PROPN
brj-22443	388	13	,	,	PUNCT
brj-22443	388	14	r.	r.	NOUN
brj-22443	388	15	,	,	PUNCT
brj-22443	388	16	and	and	CCONJ
brj-22443	388	17	rundlöf	rundlöf	NOUN
brj-22443	388	18	,	,	PUNCT
brj-22443	388	19	m.	m.	NOUN
brj-22443	388	20	(	(	PUNCT
brj-22443	388	21	2020	2020	NUM
brj-22443	388	22	)	)	PUNCT
brj-22443	388	23	.	.	PUNCT
brj-22443	389	1	“	"	PUNCT
brj-22443	389	2	average	average	ADJ
brj-22443	389	3	fibre	fibre	NOUN
brj-22443	389	4	length	length	NOUN
brj-22443	389	5	as	as	ADP
brj-22443	389	6	a	a	DET
brj-22443	389	7	measure	measure	NOUN
brj-22443	389	8	of	of	ADP
brj-22443	389	9	the	the	DET
brj-22443	389	10	amount	amount	NOUN
brj-22443	389	11	of	of	ADP
brj-22443	389	12	long	long	ADJ
brj-22443	389	13	fibres	fibre	NOUN
brj-22443	389	14	in	in	ADP
brj-22443	389	15	mechanical	mechanical	ADJ
brj-22443	389	16	pulps	pulp	NOUN
brj-22443	389	17	–	–	PUNCT
brj-22443	389	18	ranking	rank	VERB
brj-22443	389	19	of	of	ADP
brj-22443	389	20	pulps	pulp	NOUN
brj-22443	389	21	may	may	AUX
brj-22443	389	22	shift	shift	VERB
brj-22443	389	23	,	,	PUNCT
brj-22443	389	24	”	"	PUNCT
brj-22443	389	25	nord	nord	PROPN
brj-22443	389	26	.	.	PUNCT
brj-22443	389	27	pulp	pulp	NOUN
brj-22443	389	28	paper	paper	NOUN
brj-22443	389	29	res	re	NOUN
brj-22443	389	30	.	.	PUNCT
brj-22443	390	1	j.	j.	PROPN
brj-22443	390	2	33(3	33(3	PROPN
brj-22443	390	3	)	)	PUNCT
brj-22443	390	4	,	,	PUNCT
brj-22443	390	5	468	468	NUM
brj-22443	390	6	-	-	SYM
brj-22443	390	7	481	481	NUM
brj-22443	390	8	.	.	PUNCT
brj-22443	391	1	doi	doi	NOUN
brj-22443	391	2	:	:	PUNCT
brj-22443	391	3	10.1515	10.1515	NUM
brj-22443	391	4	/	/	SYM
brj-22443	391	5	npprj-2018	npprj-2018	NOUN
brj-22443	391	6	-	-	PUNCT
brj-22443	391	7	3058	3058	NUM
brj-22443	391	8	peer	peer	NOUN
brj-22443	391	9	-	-	PUNCT
brj-22443	391	10	reviewed	review	VERB
brj-22443	391	11	article	article	NOUN
brj-22443	391	12	bioresources.com	bioresources.com	X
brj-22443	391	13	karlström	karlström	NOUN
brj-22443	391	14	et	et	PROPN
brj-22443	391	15	al	al	PROPN
brj-22443	391	16	.	.	PROPN
brj-22443	391	17	(	(	PUNCT
brj-22443	391	18	2023	2023	NUM
brj-22443	391	19	)	)	PUNCT
brj-22443	391	20	.	.	PUNCT
brj-22443	392	1	“	"	PUNCT
brj-22443	392	2	soft	soft	ADJ
brj-22443	392	3	sensors	sensor	NOUN
brj-22443	392	4	in	in	ADP
brj-22443	392	5	refining	refining	NOUN
brj-22443	392	6	,	,	PUNCT
brj-22443	392	7	”	"	PUNCT
brj-22443	392	8	bioresources	bioresource	NOUN
brj-22443	392	9	18(4	18(4	NUM
brj-22443	392	10	)	)	PUNCT
brj-22443	392	11	,	,	PUNCT
brj-22443	392	12	8163	8163	NUM
brj-22443	392	13	-	-	SYM
brj-22443	392	14	8186	8186	NUM
brj-22443	392	15	.	.	PUNCT
brj-22443	392	16	8182	8182	NUM
brj-22443	392	17	goodwin	goodwin	PROPN
brj-22443	392	18	,	,	PUNCT
brj-22443	392	19	g.	g.	PROPN
brj-22443	392	20	c.	c.	PROPN
brj-22443	392	21	(	(	PUNCT
brj-22443	392	22	2000	2000	NUM
brj-22443	392	23	)	)	PUNCT
brj-22443	392	24	.	.	PUNCT
brj-22443	393	1	“	"	PUNCT
brj-22443	393	2	predicting	predict	VERB
brj-22443	393	3	the	the	DET
brj-22443	393	4	performance	performance	NOUN
brj-22443	393	5	of	of	ADP
brj-22443	393	6	soft	soft	ADJ
brj-22443	393	7	sensors	sensor	NOUN
brj-22443	393	8	as	as	ADP
brj-22443	393	9	a	a	DET
brj-22443	393	10	route	route	NOUN
brj-22443	393	11	to	to	ADP
brj-22443	393	12	low	low	ADJ
brj-22443	393	13	cost	cost	NOUN
brj-22443	393	14	automation	automation	NOUN
brj-22443	393	15	,	,	PUNCT
brj-22443	393	16	”	"	PUNCT
brj-22443	393	17	annu	annu	NOUN
brj-22443	393	18	.	.	PUNCT
brj-22443	393	19	rev	rev	PROPN
brj-22443	393	20	.	.	PROPN
brj-22443	393	21	control	control	PROPN
brj-22443	393	22	24	24	NUM
brj-22443	393	23	,	,	PUNCT
brj-22443	393	24	55	55	NUM
brj-22443	393	25	-	-	SYM
brj-22443	393	26	66	66	NUM
brj-22443	393	27	.	.	PUNCT
brj-22443	394	1	doi	doi	NOUN
brj-22443	394	2	:	:	PUNCT
brj-22443	394	3	10.1016	10.1016	NUM
brj-22443	394	4	/	/	SYM
brj-22443	394	5	s1367	s1367	PROPN
brj-22443	394	6	-	-	NOUN
brj-22443	394	7	5788(00)90013	5788(00)90013	NUM
brj-22443	394	8	-	-	PUNCT
brj-22443	394	9	0	0	NUM
brj-22443	394	10	han	han	PROPN
brj-22443	394	11	,	,	PUNCT
brj-22443	394	12	c.	c.	PROPN
brj-22443	394	13	,	,	PUNCT
brj-22443	394	14	and	and	CCONJ
brj-22443	394	15	lee	lee	PROPN
brj-22443	394	16	,	,	PUNCT
brj-22443	394	17	y.	y.	PROPN
brj-22443	394	18	h.	h.	PROPN
brj-22443	394	19	(	(	PUNCT
brj-22443	394	20	2002	2002	NUM
brj-22443	394	21	)	)	PUNCT
brj-22443	394	22	.	.	PUNCT
brj-22443	395	1	“	"	PUNCT
brj-22443	395	2	intelligent	intelligent	ADJ
brj-22443	395	3	integrated	integrate	VERB
brj-22443	395	4	plant	plant	NOUN
brj-22443	395	5	operation	operation	NOUN
brj-22443	395	6	system	system	NOUN
brj-22443	395	7	for	for	ADP
brj-22443	395	8	six	six	NUM
brj-22443	395	9	sigma	sigma	NOUN
brj-22443	395	10	,	,	PUNCT
brj-22443	395	11	”	"	PUNCT
brj-22443	395	12	annu	annu	NOUN
brj-22443	395	13	.	.	PUNCT
brj-22443	396	1	rev	rev	PROPN
brj-22443	396	2	.	.	PROPN
brj-22443	396	3	control	control	PROPN
brj-22443	396	4	26(1	26(1	NUM
brj-22443	396	5	)	)	PUNCT
brj-22443	396	6	,	,	PUNCT
brj-22443	396	7	27	27	NUM
brj-22443	396	8	-	-	SYM
brj-22443	396	9	43	43	NUM
brj-22443	396	10	.	.	PUNCT
brj-22443	397	1	doi	doi	NOUN
brj-22443	397	2	:	:	PUNCT
brj-22443	397	3	10.1016	10.1016	NUM
brj-22443	397	4	/	/	SYM
brj-22443	397	5	s1367	s1367	PROPN
brj-22443	397	6	-	-	PUNCT
brj-22443	397	7	5788(02)80008	5788(02)80008	NUM
brj-22443	397	8	-	-	PUNCT
brj-22443	397	9	6	6	NUM
brj-22443	397	10	hill	hill	NOUN
brj-22443	397	11	,	,	PUNCT
brj-22443	397	12	j.	j.	PROPN
brj-22443	397	13	,	,	PUNCT
brj-22443	397	14	westin	westin	PROPN
brj-22443	397	15	,	,	PUNCT
brj-22443	397	16	h.	h.	PROPN
brj-22443	397	17	,	,	PUNCT
brj-22443	397	18	and	and	CCONJ
brj-22443	397	19	bergström	bergström	NOUN
brj-22443	397	20	,	,	PUNCT
brj-22443	397	21	r.	r.	PROPN
brj-22443	397	22	(	(	PUNCT
brj-22443	397	23	1979	1979	NUM
brj-22443	397	24	)	)	PUNCT
brj-22443	397	25	.	.	PUNCT
brj-22443	398	1	“	"	PUNCT
brj-22443	398	2	monitoring	monitor	VERB
brj-22443	398	3	pulp	pulp	NOUN
brj-22443	398	4	quality	quality	NOUN
brj-22443	398	5	for	for	ADP
brj-22443	398	6	process	process	NOUN
brj-22443	398	7	control	control	NOUN
brj-22443	398	8	,	,	PUNCT
brj-22443	398	9	”	"	PUNCT
brj-22443	398	10	international	international	ADJ
brj-22443	398	11	mechanical	mechanical	ADJ
brj-22443	398	12	pulping	pulp	VERB
brj-22443	398	13	conference	conference	NOUN
brj-22443	398	14	,	,	PUNCT
brj-22443	398	15	toronto	toronto	PROPN
brj-22443	398	16	,	,	PUNCT
brj-22443	398	17	canada	canada	PROPN
brj-22443	398	18	,	,	PUNCT
brj-22443	398	19	pp	pp	X
brj-22443	398	20	.	.	PUNCT
brj-22443	399	1	111125	111125	NUM
brj-22443	399	2	.	.	PUNCT
brj-22443	400	1	hill	hill	PROPN
brj-22443	400	2	,	,	PUNCT
brj-22443	400	3	j.	j.	PROPN
brj-22443	400	4	(	(	PUNCT
brj-22443	400	5	1993	1993	NUM
brj-22443	400	6	)	)	PUNCT
brj-22443	400	7	.	.	PUNCT
brj-22443	401	1	“	"	PUNCT
brj-22443	401	2	process	process	NOUN
brj-22443	401	3	understanding	understand	VERB
brj-22443	401	4	profits	profit	NOUN
brj-22443	401	5	from	from	ADP
brj-22443	401	6	sensor	sensor	NOUN
brj-22443	401	7	and	and	CCONJ
brj-22443	401	8	control	control	NOUN
brj-22443	401	9	developments	development	NOUN
brj-22443	401	10	,	,	PUNCT
brj-22443	401	11	”	"	PUNCT
brj-22443	401	12	in	in	ADP
brj-22443	401	13	:	:	PUNCT
brj-22443	401	14	international	international	ADJ
brj-22443	401	15	mechanical	mechanical	ADJ
brj-22443	401	16	pulping	pulp	VERB
brj-22443	401	17	conference	conference	NOUN
brj-22443	401	18	,	,	PUNCT
brj-22443	401	19	oslo	oslo	PROPN
brj-22443	401	20	,	,	PUNCT
brj-22443	401	21	norway	norway	PROPN
brj-22443	401	22	,	,	PUNCT
brj-22443	401	23	pp	pp	ADJ
brj-22443	401	24	.	.	PUNCT
brj-22443	402	1	201–207	201–207	NUM
brj-22443	402	2	.	.	PUNCT
brj-22443	402	3	hill	hill	PROPN
brj-22443	402	4	,	,	PUNCT
brj-22443	402	5	j.	j.	PROPN
brj-22443	402	6	,	,	PUNCT
brj-22443	402	7	saarinen	saarinen	PROPN
brj-22443	402	8	,	,	PUNCT
brj-22443	402	9	k.	k.	PROPN
brj-22443	402	10	,	,	PUNCT
brj-22443	402	11	and	and	CCONJ
brj-22443	402	12	stenros	stenro	NOUN
brj-22443	402	13	,	,	PUNCT
brj-22443	402	14	r.	r.	PROPN
brj-22443	402	15	(	(	PUNCT
brj-22443	402	16	1993	1993	NUM
brj-22443	402	17	)	)	PUNCT
brj-22443	402	18	.	.	PUNCT
brj-22443	403	1	“	"	PUNCT
brj-22443	403	2	on	on	ADP
brj-22443	403	3	the	the	DET
brj-22443	403	4	control	control	NOUN
brj-22443	403	5	of	of	ADP
brj-22443	403	6	chip	chip	NOUN
brj-22443	403	7	refining	refining	NOUN
brj-22443	403	8	systems	system	NOUN
brj-22443	403	9	,	,	PUNCT
brj-22443	403	10	”	"	PUNCT
brj-22443	403	11	pulp	pulp	NOUN
brj-22443	403	12	pap	pap	NOUN
brj-22443	403	13	.	.	PUNCT
brj-22443	404	1	can	can	AUX
brj-22443	404	2	.	.	PUNCT
brj-22443	405	1	94(6	94(6	NUM
brj-22443	405	2	)	)	PUNCT
brj-22443	405	3	,	,	PUNCT
brj-22443	405	4	43	43	NUM
brj-22443	405	5	-	-	SYM
brj-22443	405	6	47	47	NUM
brj-22443	405	7	.	.	PUNCT
brj-22443	406	1	huhtanen	huhtanen	PROPN
brj-22443	406	2	,	,	PUNCT
brj-22443	406	3	j.	j.	PROPN
brj-22443	406	4	p.	p.	PROPN
brj-22443	406	5	(	(	PUNCT
brj-22443	406	6	2004	2004	NUM
brj-22443	406	7	)	)	PUNCT
brj-22443	406	8	.	.	PUNCT
brj-22443	407	1	modeling	modeling	NOUN
brj-22443	407	2	of	of	ADP
brj-22443	407	3	fiber	fiber	NOUN
brj-22443	407	4	suspension	suspension	NOUN
brj-22443	407	5	flows	flow	NOUN
brj-22443	407	6	in	in	ADP
brj-22443	407	7	refiner	refiner	NOUN
brj-22443	407	8	and	and	CCONJ
brj-22443	407	9	other	other	ADJ
brj-22443	407	10	papermaking	papermaking	NOUN
brj-22443	407	11	processes	process	NOUN
brj-22443	407	12	by	by	ADP
brj-22443	407	13	combining	combine	VERB
brj-22443	407	14	non	non	ADJ
brj-22443	407	15	-	-	ADJ
brj-22443	407	16	newtonian	newtonian	ADJ
brj-22443	407	17	fluid	fluid	ADJ
brj-22443	407	18	dynamics	dynamic	NOUN
brj-22443	407	19	and	and	CCONJ
brj-22443	407	20	turbulence	turbulence	NOUN
brj-22443	407	21	,	,	PUNCT
brj-22443	407	22	ph.d	ph.d	PROPN
brj-22443	407	23	.	.	PUNCT
brj-22443	408	1	thesis	thesis	NOUN
brj-22443	408	2	,	,	PUNCT
brj-22443	408	3	tampere	tampere	PROPN
brj-22443	408	4	university	university	PROPN
brj-22443	408	5	of	of	ADP
brj-22443	408	6	technology	technology	NOUN
brj-22443	408	7	,	,	PUNCT
brj-22443	408	8	tampere	tampere	PROPN
brj-22443	408	9	,	,	PUNCT
brj-22443	408	10	finland	finland	PROPN
brj-22443	408	11	.	.	PUNCT
brj-22443	408	12	johansson	johansson	PROPN
brj-22443	408	13	,	,	PUNCT
brj-22443	408	14	b.-l	b.-l	PROPN
brj-22443	408	15	.	.	PUNCT
brj-22443	408	16	,	,	PUNCT
brj-22443	408	17	karlsson	karlsson	PROPN
brj-22443	408	18	,	,	PUNCT
brj-22443	408	19	h.	h.	PROPN
brj-22443	408	20	,	,	PUNCT
brj-22443	408	21	and	and	CCONJ
brj-22443	408	22	jung	jung	PROPN
brj-22443	408	23	,	,	PUNCT
brj-22443	408	24	e.	e.	PROPN
brj-22443	408	25	(	(	PUNCT
brj-22443	408	26	1980	1980	NUM
brj-22443	408	27	)	)	PUNCT
brj-22443	408	28	.	.	PUNCT
brj-22443	409	1	“	"	PUNCT
brj-22443	409	2	experiences	experience	NOUN
brj-22443	409	3	with	with	ADP
brj-22443	409	4	computer	computer	NOUN
brj-22443	409	5	control	control	NOUN
brj-22443	409	6	,	,	PUNCT
brj-22443	409	7	based	base	VERB
brj-22443	409	8	on	on	ADP
brj-22443	409	9	optical	optical	ADJ
brj-22443	409	10	sensors	sensor	NOUN
brj-22443	409	11	for	for	ADP
brj-22443	409	12	pulp	pulp	NOUN
brj-22443	409	13	quality	quality	NOUN
brj-22443	409	14	,	,	PUNCT
brj-22443	409	15	of	of	ADP
brj-22443	409	16	a	a	DET
brj-22443	409	17	two	two	NUM
brj-22443	409	18	-	-	PUNCT
brj-22443	409	19	stage	stage	NOUN
brj-22443	409	20	tmp	tmp	NOUN
brj-22443	409	21	-	-	PUNCT
brj-22443	409	22	plant	plant	NOUN
brj-22443	409	23	,	,	PUNCT
brj-22443	409	24	”	"	PUNCT
brj-22443	409	25	in	in	ADP
brj-22443	409	26	:	:	PUNCT
brj-22443	409	27	process	process	NOUN
brj-22443	409	28	control	control	NOUN
brj-22443	409	29	conference	conference	PROPN
brj-22443	409	30	,	,	PUNCT
brj-22443	409	31	halifax	halifax	PROPN
brj-22443	409	32	,	,	PUNCT
brj-22443	409	33	nova	nova	PROPN
brj-22443	409	34	scotia	scotia	PROPN
brj-22443	409	35	,	,	PUNCT
brj-22443	409	36	canada	canada	PROPN
brj-22443	409	37	,	,	PUNCT
brj-22443	409	38	pp	pp	PROPN
brj-22443	409	39	.	.	PUNCT
brj-22443	410	1	145	145	NUM
brj-22443	410	2	-	-	SYM
brj-22443	410	3	152	152	NUM
brj-22443	410	4	.	.	PUNCT
brj-22443	411	1	jolliffe	jolliffe	PROPN
brj-22443	411	2	,	,	PUNCT
brj-22443	411	3	i.	i.	PROPN
brj-22443	411	4	t.	t.	PROPN
brj-22443	411	5	(	(	PUNCT
brj-22443	411	6	2002	2002	NUM
brj-22443	411	7	)	)	PUNCT
brj-22443	411	8	.	.	PUNCT
brj-22443	412	1	principal	principal	ADJ
brj-22443	412	2	component	component	NOUN
brj-22443	412	3	analysis	analysis	NOUN
brj-22443	412	4	,	,	PUNCT
brj-22443	412	5	2nd	2nd	ADJ
brj-22443	412	6	ed	ed	NOUN
brj-22443	412	7	.	.	PROPN
brj-22443	412	8	,	,	PUNCT
brj-22443	412	9	springer	springer	NOUN
brj-22443	412	10	,	,	PUNCT
brj-22443	412	11	new	new	PROPN
brj-22443	412	12	york	york	PROPN
brj-22443	412	13	,	,	PUNCT
brj-22443	412	14	usa	usa	PROPN
brj-22443	412	15	.	.	PROPN
brj-22443	412	16	jordaan	jordaan	PROPN
brj-22443	412	17	,	,	PUNCT
brj-22443	412	18	e.	e.	PROPN
brj-22443	412	19	,	,	PUNCT
brj-22443	412	20	kordon	kordon	PROPN
brj-22443	412	21	,	,	PUNCT
brj-22443	412	22	a.	a.	PROPN
brj-22443	412	23	,	,	PUNCT
brj-22443	412	24	chiang	chiang	PROPN
brj-22443	412	25	,	,	PUNCT
brj-22443	412	26	l.	l.	PROPN
brj-22443	412	27	,	,	PUNCT
brj-22443	412	28	and	and	CCONJ
brj-22443	412	29	smits	smit	NOUN
brj-22443	412	30	,	,	PUNCT
brj-22443	412	31	g.	g.	PROPN
brj-22443	412	32	(	(	PUNCT
brj-22443	412	33	2004	2004	NUM
brj-22443	412	34	)	)	PUNCT
brj-22443	412	35	.	.	PUNCT
brj-22443	413	1	“	"	PUNCT
brj-22443	413	2	robust	robust	ADJ
brj-22443	413	3	inferential	inferential	ADJ
brj-22443	413	4	sensors	sensor	NOUN
brj-22443	413	5	based	base	VERB
brj-22443	413	6	on	on	ADP
brj-22443	413	7	ensemble	ensemble	ADJ
brj-22443	413	8	of	of	ADP
brj-22443	413	9	predictors	predictor	NOUN
brj-22443	413	10	generated	generate	VERB
brj-22443	413	11	by	by	ADP
brj-22443	413	12	genetic	genetic	ADJ
brj-22443	413	13	programming	programming	NOUN
brj-22443	413	14	,	,	PUNCT
brj-22443	413	15	”	"	PUNCT
brj-22443	413	16	in	in	ADP
brj-22443	413	17	:	:	PUNCT
brj-22443	413	18	proceedings	proceeding	NOUN
brj-22443	413	19	of	of	ADP
brj-22443	413	20	international	international	ADJ
brj-22443	413	21	conference	conference	NOUN
brj-22443	413	22	on	on	ADP
brj-22443	413	23	parallel	parallel	ADJ
brj-22443	413	24	problem	problem	NOUN
brj-22443	413	25	solving	solve	VERB
brj-22443	413	26	from	from	ADP
brj-22443	413	27	nature	nature	NOUN
brj-22443	413	28	,	,	PUNCT
brj-22443	413	29	birmingham	birmingham	PROPN
brj-22443	413	30	,	,	PUNCT
brj-22443	413	31	united	united	ADJ
brj-22443	413	32	kingdom	kingdom	PROPN
brj-22443	413	33	,	,	PUNCT
brj-22443	413	34	pp	pp	ADJ
brj-22443	413	35	.	.	PUNCT
brj-22443	414	1	522–531	522–531	NUM
brj-22443	414	2	.	.	PUNCT
brj-22443	415	1	karlström	karlström	PROPN
brj-22443	415	2	,	,	PUNCT
brj-22443	415	3	a.	a.	PROPN
brj-22443	415	4	,	,	PUNCT
brj-22443	415	5	eriksson	eriksson	PROPN
brj-22443	415	6	,	,	PUNCT
brj-22443	415	7	k.	k.	PROPN
brj-22443	415	8	,	,	PUNCT
brj-22443	415	9	sikter	sikter	PROPN
brj-22443	415	10	,	,	PUNCT
brj-22443	415	11	d.	d.	PROPN
brj-22443	415	12	,	,	PUNCT
brj-22443	415	13	and	and	CCONJ
brj-22443	415	14	gustavsson	gustavsson	PROPN
brj-22443	415	15	,	,	PUNCT
brj-22443	415	16	m.	m.	NOUN
brj-22443	415	17	(	(	PUNCT
brj-22443	415	18	2008	2008	NUM
brj-22443	415	19	)	)	PUNCT
brj-22443	415	20	.	.	PUNCT
brj-22443	416	1	“	"	PUNCT
brj-22443	416	2	refining	refining	NOUN
brj-22443	416	3	models	model	NOUN
brj-22443	416	4	for	for	ADP
brj-22443	416	5	control	control	NOUN
brj-22443	416	6	purposes	purpose	NOUN
brj-22443	416	7	,	,	PUNCT
brj-22443	416	8	”	"	PUNCT
brj-22443	416	9	nord	nord	PROPN
brj-22443	416	10	.	.	PUNCT
brj-22443	416	11	pulp	pulp	NOUN
brj-22443	416	12	paper	paper	NOUN
brj-22443	416	13	res	re	NOUN
brj-22443	416	14	.	.	PUNCT
brj-22443	417	1	j.	j.	PROPN
brj-22443	417	2	23(1	23(1	PROPN
brj-22443	417	3	)	)	PUNCT
brj-22443	417	4	,	,	PUNCT
brj-22443	417	5	129	129	NUM
brj-22443	417	6	-	-	SYM
brj-22443	417	7	138	138	NUM
brj-22443	417	8	.	.	PUNCT
brj-22443	418	1	doi	doi	NOUN
brj-22443	418	2	:	:	PUNCT
brj-22443	418	3	10.3183	10.3183	NUM
brj-22443	418	4	/	/	SYM
brj-22443	418	5	npprj2008	npprj2008	NOUN
brj-22443	418	6	-	-	PUNCT
brj-22443	418	7	23	23	NUM
brj-22443	418	8	-	-	PUNCT
brj-22443	418	9	01	01	NUM
brj-22443	418	10	-	-	PUNCT
brj-22443	418	11	p129	p129	PROPN
brj-22443	418	12	-	-	PUNCT
brj-22443	418	13	138	138	NUM
brj-22443	418	14	karlström	karlström	NOUN
brj-22443	418	15	,	,	PUNCT
brj-22443	418	16	a.	a.	NOUN
brj-22443	418	17	,	,	PUNCT
brj-22443	418	18	and	and	CCONJ
brj-22443	418	19	isaksson	isaksson	PROPN
brj-22443	418	20	,	,	PUNCT
brj-22443	418	21	a.	a.	NOUN
brj-22443	418	22	(	(	PUNCT
brj-22443	418	23	2009	2009	NUM
brj-22443	418	24	)	)	PUNCT
brj-22443	418	25	.	.	PUNCT
brj-22443	419	1	“	"	PUNCT
brj-22443	419	2	multi	multi	ADJ
brj-22443	419	3	-	-	ADJ
brj-22443	419	4	rate	rate	ADJ
brj-22443	419	5	optimal	optimal	ADJ
brj-22443	419	6	control	control	NOUN
brj-22443	419	7	of	of	ADP
brj-22443	419	8	tmp	tmp	NOUN
brj-22443	419	9	refining	refining	NOUN
brj-22443	419	10	processes	process	NOUN
brj-22443	419	11	,	,	PUNCT
brj-22443	419	12	”	"	PUNCT
brj-22443	419	13	in	in	ADP
brj-22443	419	14	:	:	PUNCT
brj-22443	419	15	international	international	ADJ
brj-22443	419	16	mechanical	mechanical	ADJ
brj-22443	419	17	pulping	pulp	VERB
brj-22443	419	18	conference	conference	NOUN
brj-22443	419	19	,	,	PUNCT
brj-22443	419	20	sundsvall	sundsvall	PROPN
brj-22443	419	21	,	,	PUNCT
brj-22443	419	22	sweden	sweden	PROPN
brj-22443	419	23	.	.	PUNCT
brj-22443	420	1	karlström	karlström	PROPN
brj-22443	420	2	,	,	PUNCT
brj-22443	420	3	a.	a.	NOUN
brj-22443	420	4	,	,	PUNCT
brj-22443	420	5	and	and	CCONJ
brj-22443	420	6	eriksson	eriksson	PROPN
brj-22443	420	7	,	,	PUNCT
brj-22443	420	8	k.	k.	PROPN
brj-22443	420	9	(	(	PUNCT
brj-22443	420	10	2014a	2014a	NUM
brj-22443	420	11	)	)	PUNCT
brj-22443	420	12	.	.	PUNCT
brj-22443	421	1	“	"	PUNCT
brj-22443	421	2	fiber	fiber	NOUN
brj-22443	421	3	energy	energy	NOUN
brj-22443	421	4	efficiency	efficiency	NOUN
brj-22443	421	5	part	part	NOUN
brj-22443	421	6	i	i	PRON
brj-22443	421	7	:	:	PUNCT
brj-22443	421	8	extended	extended	ADJ
brj-22443	421	9	entropy	entropy	NOUN
brj-22443	421	10	model	model	NOUN
brj-22443	421	11	,	,	PUNCT
brj-22443	421	12	”	"	PUNCT
brj-22443	421	13	nord	nord	PROPN
brj-22443	421	14	.	.	PUNCT
brj-22443	421	15	pulp	pulp	NOUN
brj-22443	421	16	paper	paper	NOUN
brj-22443	421	17	res	re	NOUN
brj-22443	421	18	.	.	PUNCT
brj-22443	422	1	j.	j.	PROPN
brj-22443	422	2	29(2	29(2	PROPN
brj-22443	422	3	)	)	PUNCT
brj-22443	422	4	,	,	PUNCT
brj-22443	422	5	322	322	NUM
brj-22443	422	6	-	-	SYM
brj-22443	422	7	331	331	NUM
brj-22443	422	8	.	.	PUNCT
brj-22443	423	1	doi	doi	NOUN
brj-22443	423	2	:	:	PUNCT
brj-22443	423	3	10.3183	10.3183	NUM
brj-22443	423	4	/	/	SYM
brj-22443	423	5	npprj-201429	npprj-201429	ADJ
brj-22443	423	6	-	-	PUNCT
brj-22443	423	7	02	02	NUM
brj-22443	423	8	-	-	PUNCT
brj-22443	423	9	p322	p322	PROPN
brj-22443	423	10	-	-	PUNCT
brj-22443	423	11	331	331	NUM
brj-22443	423	12	karlström	karlström	NOUN
brj-22443	423	13	,	,	PUNCT
brj-22443	423	14	a.	a.	NOUN
brj-22443	423	15	,	,	PUNCT
brj-22443	423	16	and	and	CCONJ
brj-22443	423	17	eriksson	eriksson	PROPN
brj-22443	423	18	,	,	PUNCT
brj-22443	423	19	k.	k.	PROPN
brj-22443	423	20	(	(	PUNCT
brj-22443	423	21	2014b	2014b	NUM
brj-22443	423	22	)	)	PUNCT
brj-22443	423	23	.	.	PUNCT
brj-22443	424	1	“	"	PUNCT
brj-22443	424	2	fiber	fiber	NOUN
brj-22443	424	3	energy	energy	NOUN
brj-22443	424	4	efficiency	efficiency	NOUN
brj-22443	424	5	part	part	PROPN
brj-22443	424	6	ii	ii	PROPN
brj-22443	424	7	:	:	PUNCT
brj-22443	424	8	forces	force	NOUN
brj-22443	424	9	acting	act	VERB
brj-22443	424	10	on	on	ADP
brj-22443	424	11	the	the	DET
brj-22443	424	12	refiner	refiner	NOUN
brj-22443	424	13	bars	bar	NOUN
brj-22443	424	14	,	,	PUNCT
brj-22443	424	15	”	"	PUNCT
brj-22443	424	16	nord	nord	PROPN
brj-22443	424	17	.	.	PUNCT
brj-22443	424	18	pulp	pulp	NOUN
brj-22443	424	19	paper	paper	NOUN
brj-22443	424	20	res	re	NOUN
brj-22443	424	21	.	.	PUNCT
brj-22443	425	1	j.	j.	PROPN
brj-22443	425	2	29(2	29(2	PROPN
brj-22443	425	3	)	)	PUNCT
brj-22443	425	4	,	,	PUNCT
brj-22443	425	5	332	332	NUM
brj-22443	425	6	-	-	SYM
brj-22443	425	7	343	343	NUM
brj-22443	425	8	.	.	PUNCT
brj-22443	426	1	doi	doi	NOUN
brj-22443	426	2	:	:	PUNCT
brj-22443	426	3	10.3183	10.3183	NUM
brj-22443	426	4	/	/	SYM
brj-22443	426	5	npprj2014	npprj2014	PROPN
brj-22443	426	6	-	-	PUNCT
brj-22443	426	7	29	29	NUM
brj-22443	426	8	-	-	PUNCT
brj-22443	426	9	02	02	NUM
brj-22443	426	10	-	-	PUNCT
brj-22443	426	11	p332	p332	PROPN
brj-22443	426	12	-	-	PUNCT
brj-22443	426	13	343	343	NUM
brj-22443	426	14	karlström	karlström	NOUN
brj-22443	426	15	,	,	PUNCT
brj-22443	426	16	a.	a.	NOUN
brj-22443	426	17	,	,	PUNCT
brj-22443	426	18	and	and	CCONJ
brj-22443	426	19	eriksson	eriksson	PROPN
brj-22443	426	20	,	,	PUNCT
brj-22443	426	21	k.	k.	PROPN
brj-22443	426	22	(	(	PUNCT
brj-22443	426	23	2014c	2014c	PROPN
brj-22443	426	24	)	)	PUNCT
brj-22443	426	25	.	.	PUNCT
brj-22443	427	1	“	"	PUNCT
brj-22443	427	2	refining	refine	VERB
brj-22443	427	3	energy	energy	NOUN
brj-22443	427	4	efficiency	efficiency	NOUN
brj-22443	427	5	part	part	NOUN
brj-22443	427	6	iii	iii	PROPN
brj-22443	427	7	:	:	PUNCT
brj-22443	427	8	modeling	modeling	NOUN
brj-22443	427	9	of	of	ADP
brj-22443	427	10	fiber	fiber	NOUN
brj-22443	427	11	-	-	PUNCT
brj-22443	427	12	to	to	ADP
brj-22443	427	13	-	-	PUNCT
brj-22443	427	14	bar	bar	NOUN
brj-22443	427	15	interaction	interaction	NOUN
brj-22443	427	16	,	,	PUNCT
brj-22443	427	17	”	"	PUNCT
brj-22443	427	18	nord	nord	PROPN
brj-22443	427	19	.	.	PUNCT
brj-22443	427	20	pulp	pulp	NOUN
brj-22443	427	21	paper	paper	NOUN
brj-22443	427	22	res	re	NOUN
brj-22443	427	23	.	.	PUNCT
brj-22443	428	1	j.	j.	PROPN
brj-22443	428	2	29(3	29(3	PROPN
brj-22443	428	3	)	)	PUNCT
brj-22443	428	4	,	,	PUNCT
brj-22443	428	5	401	401	NUM
brj-22443	428	6	-	-	SYM
brj-22443	428	7	408	408	NUM
brj-22443	428	8	.	.	PUNCT
brj-22443	429	1	doi	doi	NOUN
brj-22443	429	2	:	:	PUNCT
brj-22443	429	3	10.1515	10.1515	NUM
brj-22443	429	4	/	/	SYM
brj-22443	429	5	npprj-2018	npprj-2018	NOUN
brj-22443	429	6	-	-	PUNCT
brj-22443	429	7	0019	0019	NUM
brj-22443	429	8	karlström	karlström	NOUN
brj-22443	429	9	,	,	PUNCT
brj-22443	429	10	a.	a.	NOUN
brj-22443	429	11	,	,	PUNCT
brj-22443	429	12	and	and	CCONJ
brj-22443	429	13	eriksson	eriksson	PROPN
brj-22443	429	14	,	,	PUNCT
brj-22443	429	15	k.	k.	PROPN
brj-22443	429	16	(	(	PUNCT
brj-22443	429	17	2014d	2014d	NUM
brj-22443	429	18	)	)	PUNCT
brj-22443	429	19	.	.	PUNCT
brj-22443	430	1	“	"	PUNCT
brj-22443	430	2	refining	refine	VERB
brj-22443	430	3	energy	energy	NOUN
brj-22443	430	4	efficiency	efficiency	NOUN
brj-22443	430	5	part	part	NOUN
brj-22443	430	6	iv	iv	X
brj-22443	430	7	:	:	PUNCT
brj-22443	430	8	multiscale	multiscale	NOUN
brj-22443	430	9	modeling	modeling	NOUN
brj-22443	430	10	of	of	ADP
brj-22443	430	11	refining	refining	NOUN
brj-22443	430	12	processes	process	NOUN
brj-22443	430	13	,	,	PUNCT
brj-22443	430	14	”	"	PUNCT
brj-22443	430	15	nord	nord	PROPN
brj-22443	430	16	.	.	PUNCT
brj-22443	430	17	pulp	pulp	NOUN
brj-22443	430	18	paper	paper	NOUN
brj-22443	430	19	res	re	NOUN
brj-22443	430	20	.	.	PUNCT
brj-22443	431	1	j.	j.	PROPN
brj-22443	431	2	29(3	29(3	PROPN
brj-22443	431	3	)	)	PUNCT
brj-22443	431	4	,	,	PUNCT
brj-22443	431	5	409	409	NUM
brj-22443	431	6	-	-	SYM
brj-22443	431	7	417	417	NUM
brj-22443	431	8	.	.	PUNCT
brj-22443	432	1	doi	doi	NOUN
brj-22443	432	2	:	:	PUNCT
brj-22443	432	3	10.3183	10.3183	NUM
brj-22443	432	4	/	/	SYM
brj-22443	432	5	npprj-2014	npprj-2014	NOUN
brj-22443	432	6	-	-	PUNCT
brj-22443	432	7	29	29	NUM
brj-22443	432	8	-	-	PUNCT
brj-22443	432	9	03	03	NUM
brj-22443	432	10	-	-	PUNCT
brj-22443	432	11	p409	p409	NOUN
brj-22443	432	12	-	-	PUNCT
brj-22443	432	13	417	417	NUM
brj-22443	432	14	karlström	karlström	NOUN
brj-22443	432	15	,	,	PUNCT
brj-22443	432	16	a.	a.	PROPN
brj-22443	432	17	,	,	PUNCT
brj-22443	432	18	eriksson	eriksson	PROPN
brj-22443	432	19	,	,	PUNCT
brj-22443	432	20	k.	k.	PROPN
brj-22443	432	21	,	,	PUNCT
brj-22443	432	22	and	and	CCONJ
brj-22443	432	23	hill	hill	PROPN
brj-22443	432	24	,	,	PUNCT
brj-22443	432	25	j.	j.	PROPN
brj-22443	432	26	(	(	PUNCT
brj-22443	432	27	2015a	2015a	NUM
brj-22443	432	28	)	)	PUNCT
brj-22443	432	29	.	.	PUNCT
brj-22443	433	1	“	"	PUNCT
brj-22443	433	2	refiner	refiner	NOUN
brj-22443	433	3	optimization	optimization	NOUN
brj-22443	433	4	and	and	CCONJ
brj-22443	433	5	control	control	VERB
brj-22443	433	6	part	part	NOUN
brj-22443	433	7	iv	iv	NUM
brj-22443	433	8	:	:	PUNCT
brj-22443	433	9	long	long	ADJ
brj-22443	433	10	term	term	NOUN
brj-22443	433	11	follow	follow	VERB
brj-22443	433	12	up	up	ADP
brj-22443	433	13	of	of	ADP
brj-22443	433	14	control	control	NOUN
brj-22443	433	15	performance	performance	NOUN
brj-22443	433	16	in	in	ADP
brj-22443	433	17	tmp	tmp	NOUN
brj-22443	433	18	processes	process	NOUN
brj-22443	433	19	,	,	PUNCT
brj-22443	433	20	”	"	PUNCT
brj-22443	433	21	nord	nord	PROPN
brj-22443	433	22	.	.	PUNCT
brj-22443	433	23	pulp	pulp	NOUN
brj-22443	433	24	paper	paper	NOUN
brj-22443	433	25	res	re	NOUN
brj-22443	433	26	.	.	PUNCT
brj-22443	434	1	j.	j.	PROPN
brj-22443	434	2	30(3	30(3	PROPN
brj-22443	434	3	)	)	PUNCT
brj-22443	434	4	,	,	PUNCT
brj-22443	434	5	426	426	NUM
brj-22443	434	6	-	-	SYM
brj-22443	434	7	435	435	NUM
brj-22443	434	8	.	.	PUNCT
brj-22443	435	1	doi	doi	NOUN
brj-22443	435	2	:	:	PUNCT
brj-22443	435	3	10.3183	10.3183	NUM
brj-22443	435	4	/	/	SYM
brj-22443	435	5	npprj-2015	npprj-2015	PROPN
brj-22443	435	6	-	-	PUNCT
brj-22443	435	7	30	30	NUM
brj-22443	435	8	-	-	PUNCT
brj-22443	435	9	03	03	NUM
brj-22443	435	10	-	-	PUNCT
brj-22443	435	11	p426	p426	NUM
brj-22443	435	12	-	-	PUNCT
brj-22443	435	13	435	435	NUM
brj-22443	435	14	karlström	karlström	NOUN
brj-22443	435	15	,	,	PUNCT
brj-22443	435	16	a.	a.	PROPN
brj-22443	435	17	,	,	PUNCT
brj-22443	435	18	hill	hill	PROPN
brj-22443	435	19	,	,	PUNCT
brj-22443	435	20	j.	j.	PROPN
brj-22443	435	21	,	,	PUNCT
brj-22443	435	22	ferritsius	ferritsius	PROPN
brj-22443	435	23	,	,	PUNCT
brj-22443	435	24	r.	r.	PROPN
brj-22443	435	25	,	,	PUNCT
brj-22443	435	26	and	and	CCONJ
brj-22443	435	27	ferritsius	ferritsius	ADJ
brj-22443	435	28	,	,	PUNCT
brj-22443	435	29	o.	o.	INTJ
brj-22443	435	30	(	(	PUNCT
brj-22443	435	31	2015b	2015b	NUM
brj-22443	435	32	)	)	PUNCT
brj-22443	435	33	.	.	PUNCT
brj-22443	436	1	“	"	PUNCT
brj-22443	436	2	pulp	pulp	NOUN
brj-22443	436	3	property	property	NOUN
brj-22443	436	4	development	development	NOUN
brj-22443	436	5	part	part	NOUN
brj-22443	437	1	i	i	PRON
brj-22443	437	2	:	:	PUNCT
brj-22443	437	3	interlacing	interlace	VERB
brj-22443	437	4	undersampled	undersampled	ADJ
brj-22443	437	5	pulp	pulp	NOUN
brj-22443	437	6	properties	property	NOUN
brj-22443	437	7	and	and	CCONJ
brj-22443	437	8	tmp	tmp	NOUN
brj-22443	437	9	process	process	NOUN
brj-22443	437	10	data	datum	NOUN
brj-22443	437	11	using	use	VERB
brj-22443	437	12	piece	piece	NOUN
brj-22443	437	13	-	-	PUNCT
brj-22443	437	14	wise	wise	ADJ
brj-22443	437	15	linear	linear	NOUN
brj-22443	437	16	functions	function	NOUN
brj-22443	437	17	,	,	PUNCT
brj-22443	437	18	”	"	PUNCT
brj-22443	437	19	nord	nord	PROPN
brj-22443	437	20	.	.	PUNCT
brj-22443	437	21	pulp	pulp	NOUN
brj-22443	437	22	paper	paper	NOUN
brj-22443	437	23	res	re	NOUN
brj-22443	437	24	.	.	PUNCT
brj-22443	438	1	j.	j.	PROPN
brj-22443	438	2	30(4	30(4	PROPN
brj-22443	438	3	)	)	PUNCT
brj-22443	438	4	,	,	PUNCT
brj-22443	438	5	599	599	NUM
brj-22443	438	6	-	-	SYM
brj-22443	438	7	608	608	NUM
brj-22443	438	8	.	.	PUNCT
brj-22443	439	1	doi	doi	NOUN
brj-22443	439	2	:	:	PUNCT
brj-22443	439	3	10.3183	10.3183	NUM
brj-22443	439	4	/	/	SYM
brj-22443	439	5	npprj-2015	npprj-2015	PROPN
brj-22443	439	6	-	-	PUNCT
brj-22443	439	7	30	30	NUM
brj-22443	439	8	-	-	PUNCT
brj-22443	439	9	04	04	NUM
brj-22443	439	10	-	-	PUNCT
brj-22443	439	11	p599	p599	VERB
brj-22443	439	12	-	-	PUNCT
brj-22443	439	13	608	608	NUM
brj-22443	439	14	peer	peer	NOUN
brj-22443	439	15	-	-	PUNCT
brj-22443	439	16	reviewed	review	VERB
brj-22443	439	17	article	article	NOUN
brj-22443	439	18	bioresources.com	bioresources.com	X
brj-22443	439	19	karlström	karlström	NOUN
brj-22443	439	20	et	et	PROPN
brj-22443	439	21	al	al	PROPN
brj-22443	439	22	.	.	PROPN
brj-22443	439	23	(	(	PUNCT
brj-22443	439	24	2023	2023	NUM
brj-22443	439	25	)	)	PUNCT
brj-22443	439	26	.	.	PUNCT
brj-22443	440	1	“	"	PUNCT
brj-22443	440	2	soft	soft	ADJ
brj-22443	440	3	sensors	sensor	NOUN
brj-22443	440	4	in	in	ADP
brj-22443	440	5	refining	refining	NOUN
brj-22443	440	6	,	,	PUNCT
brj-22443	440	7	”	"	PUNCT
brj-22443	440	8	bioresources	bioresource	NOUN
brj-22443	440	9	18(4	18(4	NUM
brj-22443	440	10	)	)	PUNCT
brj-22443	440	11	,	,	PUNCT
brj-22443	440	12	8163	8163	NUM
brj-22443	440	13	-	-	SYM
brj-22443	440	14	8186	8186	NUM
brj-22443	440	15	.	.	PUNCT
brj-22443	441	1	8183	8183	NUM
brj-22443	441	2	karlström	karlström	NOUN
brj-22443	441	3	,	,	PUNCT
brj-22443	441	4	a.	a.	PROPN
brj-22443	441	5	,	,	PUNCT
brj-22443	441	6	hill	hill	PROPN
brj-22443	441	7	,	,	PUNCT
brj-22443	441	8	j.	j.	PROPN
brj-22443	441	9	,	,	PUNCT
brj-22443	441	10	ferritsius	ferritsius	PROPN
brj-22443	441	11	,	,	PUNCT
brj-22443	441	12	r.	r.	PROPN
brj-22443	441	13	,	,	PUNCT
brj-22443	441	14	and	and	CCONJ
brj-22443	441	15	ferritsius	ferritsius	ADJ
brj-22443	441	16	,	,	PUNCT
brj-22443	441	17	o.	o.	INTJ
brj-22443	441	18	(	(	PUNCT
brj-22443	441	19	2016a	2016a	NUM
brj-22443	441	20	)	)	PUNCT
brj-22443	441	21	.	.	PUNCT
brj-22443	442	1	“	"	PUNCT
brj-22443	442	2	pulp	pulp	NOUN
brj-22443	442	3	property	property	NOUN
brj-22443	442	4	development	development	PROPN
brj-22443	442	5	part	part	PROPN
brj-22443	442	6	ii	ii	PROPN
brj-22443	442	7	:	:	PUNCT
brj-22443	442	8	process	process	NOUN
brj-22443	442	9	nonlinearities	nonlinearitie	NOUN
brj-22443	442	10	and	and	CCONJ
brj-22443	442	11	its	its	PRON
brj-22443	442	12	influence	influence	NOUN
brj-22443	442	13	on	on	ADP
brj-22443	442	14	pulp	pulp	NOUN
brj-22443	442	15	property	property	NOUN
brj-22443	442	16	development	development	NOUN
brj-22443	442	17	,	,	PUNCT
brj-22443	442	18	”	"	PUNCT
brj-22443	442	19	nord	nord	PROPN
brj-22443	442	20	.	.	PUNCT
brj-22443	442	21	pulp	pulp	NOUN
brj-22443	442	22	paper	paper	NOUN
brj-22443	442	23	res	re	NOUN
brj-22443	442	24	.	.	PUNCT
brj-22443	443	1	j.	j.	PROPN
brj-22443	443	2	31(2	31(2	PROPN
brj-22443	443	3	)	)	PUNCT
brj-22443	443	4	,	,	PUNCT
brj-22443	443	5	287	287	NUM
brj-22443	443	6	-	-	SYM
brj-22443	443	7	299	299	NUM
brj-22443	443	8	.	.	PUNCT
brj-22443	444	1	doi	doi	NOUN
brj-22443	444	2	:	:	PUNCT
brj-22443	444	3	10.3183	10.3183	NUM
brj-22443	444	4	/	/	SYM
brj-22443	444	5	npprj-201631	npprj-201631	NOUN
brj-22443	444	6	-	-	PUNCT
brj-22443	444	7	02	02	NUM
brj-22443	444	8	-	-	PUNCT
brj-22443	444	9	p287	p287	NUM
brj-22443	444	10	-	-	PUNCT
brj-22443	444	11	299	299	NUM
brj-22443	444	12	karlström	karlström	NOUN
brj-22443	444	13	,	,	PUNCT
brj-22443	444	14	a.	a.	PROPN
brj-22443	444	15	,	,	PUNCT
brj-22443	444	16	hill	hill	PROPN
brj-22443	444	17	,	,	PUNCT
brj-22443	444	18	j.	j.	PROPN
brj-22443	444	19	,	,	PUNCT
brj-22443	444	20	ferritsius	ferritsius	PROPN
brj-22443	444	21	,	,	PUNCT
brj-22443	444	22	r.	r.	PROPN
brj-22443	444	23	,	,	PUNCT
brj-22443	444	24	and	and	CCONJ
brj-22443	444	25	ferritsius	ferritsius	ADJ
brj-22443	444	26	,	,	PUNCT
brj-22443	444	27	o.	o.	INTJ
brj-22443	444	28	(	(	PUNCT
brj-22443	444	29	2016b	2016b	NUM
brj-22443	444	30	)	)	PUNCT
brj-22443	444	31	.	.	PUNCT
brj-22443	445	1	“	"	PUNCT
brj-22443	445	2	pulp	pulp	NOUN
brj-22443	445	3	property	property	NOUN
brj-22443	445	4	development	development	PROPN
brj-22443	445	5	part	part	PROPN
brj-22443	445	6	iii	iii	PROPN
brj-22443	445	7	:	:	PUNCT
brj-22443	445	8	fiber	fiber	NOUN
brj-22443	445	9	residence	residence	NOUN
brj-22443	445	10	time	time	NOUN
brj-22443	445	11	and	and	CCONJ
brj-22443	445	12	consistency	consistency	NOUN
brj-22443	445	13	profile	profile	NOUN
brj-22443	445	14	impact	impact	NOUN
brj-22443	445	15	on	on	ADP
brj-22443	445	16	specific	specific	ADJ
brj-22443	445	17	energy	energy	NOUN
brj-22443	445	18	and	and	CCONJ
brj-22443	445	19	pulp	pulp	NOUN
brj-22443	445	20	properties	property	NOUN
brj-22443	445	21	,	,	PUNCT
brj-22443	445	22	”	"	PUNCT
brj-22443	445	23	nord	nord	PROPN
brj-22443	445	24	.	.	PUNCT
brj-22443	445	25	pulp	pulp	NOUN
brj-22443	445	26	paper	paper	NOUN
brj-22443	445	27	res	re	NOUN
brj-22443	445	28	.	.	PUNCT
brj-22443	446	1	j.	j.	PROPN
brj-22443	446	2	31(2	31(2	PROPN
brj-22443	446	3	)	)	PUNCT
brj-22443	446	4	,	,	PUNCT
brj-22443	446	5	300	300	NUM
brj-22443	446	6	-	-	SYM
brj-22443	446	7	307	307	NUM
brj-22443	446	8	.	.	PUNCT
brj-22443	447	1	doi	doi	NOUN
brj-22443	447	2	:	:	PUNCT
brj-22443	447	3	10.3183	10.3183	NUM
brj-22443	447	4	/	/	SYM
brj-22443	447	5	npprj-2016	npprj-2016	PROPN
brj-22443	447	6	-	-	PUNCT
brj-22443	447	7	31	31	NUM
brj-22443	447	8	-	-	PUNCT
brj-22443	447	9	02	02	NUM
brj-22443	447	10	-	-	PUNCT
brj-22443	447	11	p300	p300	NUM
brj-22443	447	12	-	-	PUNCT
brj-22443	447	13	307	307	NUM
brj-22443	447	14	karlström	karlström	NOUN
brj-22443	447	15	,	,	PUNCT
brj-22443	447	16	a.	a.	NOUN
brj-22443	447	17	,	,	PUNCT
brj-22443	447	18	and	and	CCONJ
brj-22443	447	19	hill	hill	PROPN
brj-22443	447	20	,	,	PUNCT
brj-22443	447	21	j.	j.	PROPN
brj-22443	447	22	(	(	PUNCT
brj-22443	447	23	2017a	2017a	NUM
brj-22443	447	24	)	)	PUNCT
brj-22443	447	25	.	.	PUNCT
brj-22443	448	1	“	"	PUNCT
brj-22443	448	2	ctmp	ctmp	NOUN
brj-22443	448	3	process	process	NOUN
brj-22443	448	4	optimization	optimization	NOUN
brj-22443	448	5	part	part	NOUN
brj-22443	448	6	i	i	NOUN
brj-22443	448	7	:	:	PUNCT
brj-22443	448	8	internal	internal	ADJ
brj-22443	448	9	and	and	CCONJ
brj-22443	448	10	external	external	ADJ
brj-22443	448	11	variables	variable	NOUN
brj-22443	448	12	impact	impact	NOUN
brj-22443	448	13	on	on	ADP
brj-22443	448	14	refiner	refiner	NOUN
brj-22443	448	15	conditions	condition	NOUN
brj-22443	448	16	,	,	PUNCT
brj-22443	448	17	”	"	PUNCT
brj-22443	448	18	nord	nord	PROPN
brj-22443	448	19	.	.	PUNCT
brj-22443	448	20	pulp	pulp	NOUN
brj-22443	448	21	pap	pap	PROPN
brj-22443	448	22	.	.	PUNCT
brj-22443	449	1	res	re	NOUN
brj-22443	449	2	.	.	PUNCT
brj-22443	450	1	j.	j.	PROPN
brj-22443	450	2	32(1	32(1	PROPN
brj-22443	450	3	)	)	PUNCT
brj-22443	450	4	,	,	PUNCT
brj-22443	450	5	3544	3544	NUM
brj-22443	450	6	.	.	PUNCT
brj-22443	451	1	doi	doi	NOUN
brj-22443	451	2	:	:	PUNCT
brj-22443	451	3	10.3183	10.3183	NUM
brj-22443	451	4	/	/	SYM
brj-22443	451	5	npprj-2017	npprj-2017	NOUN
brj-22443	451	6	-	-	PUNCT
brj-22443	451	7	32	32	NUM
brj-22443	451	8	-	-	PUNCT
brj-22443	451	9	01	01	NUM
brj-22443	451	10	-	-	PUNCT
brj-22443	451	11	p035	p035	PROPN
brj-22443	451	12	-	-	PUNCT
brj-22443	451	13	044	044	NUM
brj-22443	451	14	karlström	karlström	NOUN
brj-22443	451	15	,	,	PUNCT
brj-22443	451	16	a.	a.	NOUN
brj-22443	451	17	,	,	PUNCT
brj-22443	451	18	and	and	CCONJ
brj-22443	451	19	hill	hill	PROPN
brj-22443	451	20	,	,	PUNCT
brj-22443	451	21	j.	j.	PROPN
brj-22443	451	22	(	(	PUNCT
brj-22443	451	23	2017b	2017b	NUM
brj-22443	451	24	)	)	PUNCT
brj-22443	451	25	.	.	PUNCT
brj-22443	452	1	“	"	PUNCT
brj-22443	452	2	ctmp	ctmp	NOUN
brj-22443	452	3	process	process	NOUN
brj-22443	452	4	optimization	optimization	NOUN
brj-22443	452	5	part	part	PROPN
brj-22443	452	6	ii	ii	PROPN
brj-22443	452	7	:	:	PUNCT
brj-22443	452	8	reliability	reliability	NOUN
brj-22443	452	9	in	in	ADP
brj-22443	452	10	pulp	pulp	NOUN
brj-22443	452	11	and	and	CCONJ
brj-22443	452	12	handsheet	handsheet	ADJ
brj-22443	452	13	measurements	measurement	NOUN
brj-22443	452	14	,	,	PUNCT
brj-22443	452	15	”	"	PUNCT
brj-22443	452	16	nord	nord	PROPN
brj-22443	452	17	.	.	PUNCT
brj-22443	452	18	pulp	pulp	NOUN
brj-22443	452	19	pap	pap	PROPN
brj-22443	452	20	.	.	PUNCT
brj-22443	453	1	res	re	NOUN
brj-22443	453	2	.	.	PUNCT
brj-22443	454	1	j.	j.	PROPN
brj-22443	454	2	32(1	32(1	PROPN
brj-22443	454	3	)	)	PUNCT
brj-22443	454	4	,	,	PUNCT
brj-22443	454	5	266	266	NUM
brj-22443	454	6	-	-	SYM
brj-22443	454	7	279	279	NUM
brj-22443	454	8	.	.	PUNCT
brj-22443	455	1	doi	doi	NOUN
brj-22443	455	2	:	:	PUNCT
brj-22443	455	3	10.3183	10.3183	NUM
brj-22443	455	4	/	/	SYM
brj-22443	455	5	npprj-2017	npprj-2017	NOUN
brj-22443	455	6	-	-	PUNCT
brj-22443	455	7	32	32	NUM
brj-22443	455	8	-	-	PUNCT
brj-22443	455	9	02	02	NUM
brj-22443	455	10	-	-	PUNCT
brj-22443	455	11	p253	p253	PROPN
brj-22443	455	12	-	-	PUNCT
brj-22443	455	13	265	265	NUM
brj-22443	455	14	karlström	karlström	NOUN
brj-22443	455	15	,	,	PUNCT
brj-22443	455	16	a.	a.	NOUN
brj-22443	455	17	,	,	PUNCT
brj-22443	455	18	and	and	CCONJ
brj-22443	455	19	hill	hill	PROPN
brj-22443	455	20	j.	j.	PROPN
brj-22443	455	21	(	(	PUNCT
brj-22443	455	22	2017c	2017c	NUM
brj-22443	455	23	)	)	PUNCT
brj-22443	455	24	.	.	PUNCT
brj-22443	456	1	“	"	PUNCT
brj-22443	456	2	ctmp	ctmp	NOUN
brj-22443	456	3	process	process	NOUN
brj-22443	456	4	optimization	optimization	NOUN
brj-22443	456	5	part	part	NOUN
brj-22443	456	6	iii	iii	PROPN
brj-22443	456	7	:	:	PUNCT
brj-22443	456	8	on	on	ADP
brj-22443	456	9	the	the	DET
brj-22443	456	10	prediction	prediction	NOUN
brj-22443	456	11	of	of	ADP
brj-22443	456	12	scott	scott	NOUN
brj-22443	456	13	-	-	PUNCT
brj-22443	456	14	bond	bond	NOUN
brj-22443	456	15	,	,	PUNCT
brj-22443	456	16	z	z	NOUN
brj-22443	456	17	-	-	PUNCT
brj-22443	456	18	strength	strength	NOUN
brj-22443	456	19	and	and	CCONJ
brj-22443	456	20	tensile	tensile	NOUN
brj-22443	456	21	index	index	NOUN
brj-22443	456	22	,	,	PUNCT
brj-22443	456	23	”	"	PUNCT
brj-22443	456	24	nord	nord	PROPN
brj-22443	456	25	.	.	PUNCT
brj-22443	456	26	pulp	pulp	NOUN
brj-22443	456	27	pap	pap	PROPN
brj-22443	456	28	.	.	PUNCT
brj-22443	457	1	res	re	NOUN
brj-22443	457	2	.	.	PUNCT
brj-22443	458	1	j.	j.	PROPN
brj-22443	458	2	32(1	32(1	PROPN
brj-22443	458	3	)	)	PUNCT
brj-22443	458	4	,	,	PUNCT
brj-22443	458	5	253	253	NUM
brj-22443	458	6	-	-	SYM
brj-22443	458	7	265	265	NUM
brj-22443	458	8	.	.	PUNCT
brj-22443	459	1	doi	doi	NOUN
brj-22443	459	2	:	:	PUNCT
brj-22443	459	3	10.3183	10.3183	NUM
brj-22443	459	4	/	/	SYM
brj-22443	459	5	npprj-2017	npprj-2017	NOUN
brj-22443	459	6	-	-	PUNCT
brj-22443	459	7	32	32	NUM
brj-22443	459	8	-	-	PUNCT
brj-22443	459	9	02	02	NUM
brj-22443	459	10	-	-	PUNCT
brj-22443	459	11	p266	p266	NUM
brj-22443	459	12	-	-	PUNCT
brj-22443	459	13	279	279	NUM
brj-22443	459	14	karlström	karlström	NOUN
brj-22443	459	15	,	,	PUNCT
brj-22443	459	16	a.	a.	PROPN
brj-22443	459	17	,	,	PUNCT
brj-22443	459	18	hill	hill	PROPN
brj-22443	459	19	,	,	PUNCT
brj-22443	459	20	j.	j.	PROPN
brj-22443	459	21	,	,	PUNCT
brj-22443	459	22	and	and	CCONJ
brj-22443	459	23	johansson	johansson	PROPN
brj-22443	459	24	,	,	PUNCT
brj-22443	459	25	l.	l.	PROPN
brj-22443	459	26	(	(	PUNCT
brj-22443	459	27	2018a	2018a	NUM
brj-22443	459	28	)	)	PUNCT
brj-22443	459	29	.	.	PUNCT
brj-22443	460	1	“	"	PUNCT
brj-22443	460	2	an	an	DET
brj-22443	460	3	overview	overview	NOUN
brj-22443	460	4	of	of	ADP
brj-22443	460	5	some	some	DET
brj-22443	460	6	efforts	effort	NOUN
brj-22443	460	7	to	to	PART
brj-22443	460	8	understand	understand	VERB
brj-22443	460	9	cd	cd	NOUN
brj-22443	460	10	-	-	PUNCT
brj-22443	460	11	refiners	refiner	NOUN
brj-22443	460	12	,	,	PUNCT
brj-22443	460	13	”	"	PUNCT
brj-22443	460	14	in	in	ADP
brj-22443	460	15	:	:	PUNCT
brj-22443	460	16	int	int	NOUN
brj-22443	460	17	.	.	PUNCT
brj-22443	461	1	mechanical	mechanical	ADJ
brj-22443	461	2	pulping	pulp	VERB
brj-22443	461	3	con	con	NOUN
brj-22443	461	4	.	.	PROPN
brj-22443	461	5	,	,	PUNCT
brj-22443	461	6	trondheim	trondheim	PROPN
brj-22443	461	7	,	,	PUNCT
brj-22443	461	8	norway	norway	PROPN
brj-22443	461	9	.	.	PUNCT
brj-22443	462	1	karlström	karlström	PROPN
brj-22443	462	2	,	,	PUNCT
brj-22443	462	3	a.	a.	NOUN
brj-22443	462	4	,	,	PUNCT
brj-22443	462	5	and	and	CCONJ
brj-22443	462	6	hill	hill	PROPN
brj-22443	462	7	,	,	PUNCT
brj-22443	462	8	j.	j.	PROPN
brj-22443	462	9	(	(	PUNCT
brj-22443	462	10	2018b	2018b	NUM
brj-22443	462	11	)	)	PUNCT
brj-22443	462	12	.	.	PUNCT
brj-22443	463	1	“	"	PUNCT
brj-22443	463	2	control	control	NOUN
brj-22443	463	3	strategies	strategy	NOUN
brj-22443	463	4	for	for	ADP
brj-22443	463	5	refiners	refiner	NOUN
brj-22443	463	6	part	part	NOUN
brj-22443	464	1	i	i	PRON
brj-22443	464	2	:	:	PUNCT
brj-22443	464	3	soft	soft	ADJ
brj-22443	464	4	sensors	sensor	NOUN
brj-22443	464	5	for	for	ADP
brj-22443	464	6	cd	cd	NOUN
brj-22443	464	7	-	-	PUNCT
brj-22443	464	8	refiner	refiner	NOUN
brj-22443	464	9	control	control	NOUN
brj-22443	464	10	,	,	PUNCT
brj-22443	464	11	”	"	PUNCT
brj-22443	464	12	nord	nord	PROPN
brj-22443	464	13	.	.	PUNCT
brj-22443	464	14	pulp	pulp	NOUN
brj-22443	464	15	pap	pap	PROPN
brj-22443	464	16	.	.	PUNCT
brj-22443	465	1	res	re	NOUN
brj-22443	465	2	.	.	PUNCT
brj-22443	466	1	j.	j.	PROPN
brj-22443	466	2	33(1	33(1	PROPN
brj-22443	466	3	)	)	PUNCT
brj-22443	466	4	,	,	PUNCT
brj-22443	466	5	28	28	NUM
brj-22443	466	6	-	-	SYM
brj-22443	466	7	43	43	NUM
brj-22443	466	8	.	.	PUNCT
brj-22443	467	1	doi	doi	NOUN
brj-22443	467	2	:	:	PUNCT
brj-22443	467	3	10.1515	10.1515	NUM
brj-22443	467	4	/	/	SYM
brj-22443	467	5	npprj-20183007	npprj-20183007	ADJ
brj-22443	467	6	karlström	karlström	NOUN
brj-22443	467	7	,	,	PUNCT
brj-22443	467	8	a.	a.	NOUN
brj-22443	467	9	,	,	PUNCT
brj-22443	467	10	and	and	CCONJ
brj-22443	467	11	hill	hill	PROPN
brj-22443	467	12	,	,	PUNCT
brj-22443	467	13	j.	j.	PROPN
brj-22443	467	14	(	(	PUNCT
brj-22443	467	15	2018c	2018c	NUM
brj-22443	467	16	)	)	PUNCT
brj-22443	467	17	.	.	PUNCT
brj-22443	468	1	“	"	PUNCT
brj-22443	468	2	control	control	NOUN
brj-22443	468	3	strategies	strategy	NOUN
brj-22443	468	4	for	for	ADP
brj-22443	468	5	refiners	refiner	NOUN
brj-22443	468	6	part	part	NOUN
brj-22443	468	7	ii	ii	PROPN
brj-22443	468	8	:	:	PUNCT
brj-22443	468	9	consistency	consistency	NOUN
brj-22443	468	10	control	control	NOUN
brj-22443	468	11	in	in	ADP
brj-22443	468	12	twin	twin	ADJ
brj-22443	468	13	-	-	PUNCT
brj-22443	468	14	disc	disc	NOUN
brj-22443	468	15	refining	refining	NOUN
brj-22443	468	16	zones	zone	NOUN
brj-22443	468	17	using	use	VERB
brj-22443	468	18	temperature	temperature	NOUN
brj-22443	468	19	profile	profile	NOUN
brj-22443	468	20	information	information	NOUN
brj-22443	468	21	,	,	PUNCT
brj-22443	468	22	”	"	PUNCT
brj-22443	468	23	nord	nord	PROPN
brj-22443	468	24	.	.	PUNCT
brj-22443	468	25	pulp	pulp	NOUN
brj-22443	468	26	pap	pap	PROPN
brj-22443	468	27	.	.	PUNCT
brj-22443	469	1	res	re	NOUN
brj-22443	469	2	.	.	PUNCT
brj-22443	470	1	j.	j.	PROPN
brj-22443	470	2	33(1	33(1	PROPN
brj-22443	470	3	)	)	PUNCT
brj-22443	470	4	,	,	PUNCT
brj-22443	470	5	44	44	NUM
brj-22443	470	6	-	-	SYM
brj-22443	470	7	57	57	NUM
brj-22443	470	8	.	.	PUNCT
brj-22443	471	1	doi	doi	NOUN
brj-22443	471	2	:	:	PUNCT
brj-22443	471	3	10.1515	10.1515	NUM
brj-22443	471	4	/	/	SYM
brj-22443	471	5	npprj-2018	npprj-2018	NOUN
brj-22443	471	6	-	-	PUNCT
brj-22443	471	7	3008	3008	NUM
brj-22443	471	8	karlström	karlström	NOUN
brj-22443	471	9	,	,	PUNCT
brj-22443	471	10	a.	a.	PROPN
brj-22443	471	11	,	,	PUNCT
brj-22443	471	12	hill	hill	PROPN
brj-22443	471	13	,	,	PUNCT
brj-22443	471	14	j.	j.	PROPN
brj-22443	471	15	,	,	PUNCT
brj-22443	471	16	and	and	CCONJ
brj-22443	471	17	johansson	johansson	PROPN
brj-22443	471	18	,	,	PUNCT
brj-22443	471	19	l.	l.	PROPN
brj-22443	471	20	(	(	PUNCT
brj-22443	471	21	2018d	2018d	NUM
brj-22443	471	22	)	)	PUNCT
brj-22443	471	23	.	.	PUNCT
brj-22443	472	1	“	"	PUNCT
brj-22443	472	2	on	on	ADP
brj-22443	472	3	the	the	DET
brj-22443	472	4	modeling	modeling	NOUN
brj-22443	472	5	of	of	ADP
brj-22443	472	6	tensile	tensile	NOUN
brj-22443	472	7	index	index	NOUN
brj-22443	472	8	from	from	ADP
brj-22443	472	9	larger	large	ADJ
brj-22443	472	10	data	datum	NOUN
brj-22443	472	11	sets	set	NOUN
brj-22443	472	12	,	,	PUNCT
brj-22443	472	13	”	"	PUNCT
brj-22443	472	14	nord	nord	PROPN
brj-22443	472	15	.	.	PUNCT
brj-22443	472	16	pulp	pulp	NOUN
brj-22443	472	17	pap	pap	PROPN
brj-22443	472	18	.	.	PUNCT
brj-22443	473	1	res	re	NOUN
brj-22443	473	2	.	.	PUNCT
brj-22443	474	1	j.	j.	PROPN
brj-22443	474	2	34(3	34(3	PROPN
brj-22443	474	3	)	)	PUNCT
brj-22443	474	4	,	,	PUNCT
brj-22443	474	5	289	289	NUM
brj-22443	474	6	-	-	SYM
brj-22443	474	7	303	303	NUM
brj-22443	474	8	.	.	PUNCT
brj-22443	475	1	doi	doi	NOUN
brj-22443	475	2	:	:	PUNCT
brj-22443	475	3	10.1515	10.1515	NUM
brj-22443	475	4	/	/	SYM
brj-22443	475	5	npprj2018	npprj2018	NOUN
brj-22443	475	6	-	-	PUNCT
brj-22443	475	7	0019	0019	NUM
brj-22443	475	8	karlström	karlström	NOUN
brj-22443	475	9	,	,	PUNCT
brj-22443	475	10	a.	a.	PROPN
brj-22443	475	11	,	,	PUNCT
brj-22443	475	12	hill	hill	PROPN
brj-22443	475	13	,	,	PUNCT
brj-22443	475	14	j.	j.	PROPN
brj-22443	475	15	,	,	PUNCT
brj-22443	475	16	and	and	CCONJ
brj-22443	475	17	johansson	johansson	PROPN
brj-22443	475	18	,	,	PUNCT
brj-22443	475	19	l.	l.	PROPN
brj-22443	475	20	(	(	PUNCT
brj-22443	475	21	2022	2022	NUM
brj-22443	475	22	)	)	PUNCT
brj-22443	475	23	.	.	PUNCT
brj-22443	476	1	“	"	PUNCT
brj-22443	476	2	data	data	NOUN
brj-22443	476	3	-	-	PUNCT
brj-22443	476	4	driven	drive	VERB
brj-22443	476	5	soft	soft	ADJ
brj-22443	476	6	sensors	sensor	NOUN
brj-22443	476	7	in	in	ADP
brj-22443	476	8	refining	refining	NOUN
brj-22443	476	9	processes	process	NOUN
brj-22443	476	10	–	–	PUNCT
brj-22443	476	11	pulp	pulp	NOUN
brj-22443	476	12	property	property	NOUN
brj-22443	476	13	estimation	estimation	NOUN
brj-22443	476	14	and	and	CCONJ
brj-22443	476	15	control	control	NOUN
brj-22443	476	16	,	,	PUNCT
brj-22443	476	17	”	"	PUNCT
brj-22443	476	18	in	in	ADP
brj-22443	476	19	:	:	PUNCT
brj-22443	476	20	international	international	ADJ
brj-22443	476	21	mechanical	mechanical	ADJ
brj-22443	476	22	pulping	pulp	VERB
brj-22443	476	23	conference	conference	NOUN
brj-22443	476	24	,	,	PUNCT
brj-22443	476	25	vancouver	vancouver	PROPN
brj-22443	476	26	,	,	PUNCT
brj-22443	476	27	bc	bc	PROPN
brj-22443	476	28	,	,	PUNCT
brj-22443	476	29	canada	canada	PROPN
brj-22443	476	30	.	.	PUNCT
brj-22443	477	1	ljung	ljung	PROPN
brj-22443	477	2	,	,	PUNCT
brj-22443	477	3	l.	l.	PROPN
brj-22443	477	4	(	(	PUNCT
brj-22443	477	5	1997	1997	NUM
brj-22443	477	6	)	)	PUNCT
brj-22443	477	7	.	.	PUNCT
brj-22443	478	1	“	"	PUNCT
brj-22443	478	2	non	non	ADJ
brj-22443	478	3	-	-	ADJ
brj-22443	478	4	linear	linear	ADJ
brj-22443	478	5	black	black	ADJ
brj-22443	478	6	box	box	NOUN
brj-22443	478	7	models	model	NOUN
brj-22443	478	8	in	in	ADP
brj-22443	478	9	system	system	NOUN
brj-22443	478	10	identification	identification	NOUN
brj-22443	478	11	,	,	PUNCT
brj-22443	478	12	”	"	PUNCT
brj-22443	478	13	ifa	ifa	PROPN
brj-22443	478	14	proceedings	proceeding	NOUN
brj-22443	478	15	30(9	30(9	NUM
brj-22443	478	16	)	)	PUNCT
brj-22443	478	17	,	,	PUNCT
brj-22443	478	18	1	1	NUM
brj-22443	478	19	-	-	SYM
brj-22443	478	20	12	12	NUM
brj-22443	478	21	.	.	PUNCT
brj-22443	479	1	doi	doi	NOUN
brj-22443	479	2	:	:	PUNCT
brj-22443	479	3	10.1016	10.1016	NUM
brj-22443	479	4	/	/	SYM
brj-22443	479	5	s1474	s1474	PROPN
brj-22443	479	6	-	-	PUNCT
brj-22443	479	7	6670(17)43131	6670(17)43131	NOUN
brj-22443	479	8	-	-	SYM
brj-22443	479	9	4	4	NUM
brj-22443	479	10	ljung	ljung	ADJ
brj-22443	479	11	,	,	PUNCT
brj-22443	479	12	l.	l.	PROPN
brj-22443	479	13	(	(	PUNCT
brj-22443	479	14	1999	1999	NUM
brj-22443	479	15	)	)	PUNCT
brj-22443	479	16	.	.	PUNCT
brj-22443	480	1	system	system	NOUN
brj-22443	480	2	identification	identification	NOUN
brj-22443	480	3	:	:	PUNCT
brj-22443	480	4	theory	theory	NOUN
brj-22443	480	5	for	for	ADP
brj-22443	480	6	the	the	DET
brj-22443	480	7	user	user	NOUN
brj-22443	480	8	,	,	PUNCT
brj-22443	480	9	2nd	2nd	PROPN
brj-22443	480	10	ed	ed	NOUN
brj-22443	480	11	.	.	PROPN
brj-22443	480	12	,	,	PUNCT
brj-22443	480	13	prentice	prentice	PROPN
brj-22443	480	14	hall	hall	PROPN
brj-22443	480	15	,	,	PUNCT
brj-22443	480	16	hoboken	hoboken	PROPN
brj-22443	480	17	,	,	PUNCT
brj-22443	480	18	nj	nj	PROPN
brj-22443	480	19	,	,	PUNCT
brj-22443	480	20	usa	usa	PROPN
brj-22443	480	21	,	,	PUNCT
brj-22443	480	22	pp	pp	PROPN
brj-22443	480	23	.	.	PUNCT
brj-22443	481	1	95	95	NUM
brj-22443	481	2	-	-	SYM
brj-22443	481	3	96	96	NUM
brj-22443	481	4	.	.	PUNCT
brj-22443	482	1	miles	mile	NOUN
brj-22443	482	2	,	,	PUNCT
brj-22443	482	3	k.	k.	PROPN
brj-22443	482	4	b.	b.	PROPN
brj-22443	482	5	,	,	PUNCT
brj-22443	482	6	and	and	CCONJ
brj-22443	482	7	may	may	AUX
brj-22443	482	8	,	,	PUNCT
brj-22443	482	9	w.	w.	PROPN
brj-22443	482	10	d.	d.	PROPN
brj-22443	482	11	(	(	PUNCT
brj-22443	482	12	1990	1990	NUM
brj-22443	482	13	)	)	PUNCT
brj-22443	482	14	.	.	PUNCT
brj-22443	483	1	“	"	PUNCT
brj-22443	483	2	the	the	DET
brj-22443	483	3	flow	flow	NOUN
brj-22443	483	4	of	of	ADP
brj-22443	483	5	pulp	pulp	NOUN
brj-22443	483	6	in	in	ADP
brj-22443	483	7	chip	chip	NOUN
brj-22443	483	8	refiners	refiner	NOUN
brj-22443	483	9	,	,	PUNCT
brj-22443	483	10	”	"	PUNCT
brj-22443	483	11	j.	j.	PROPN
brj-22443	483	12	pulp	pulp	PROPN
brj-22443	483	13	pap	pap	PROPN
brj-22443	483	14	.	.	PUNCT
brj-22443	484	1	sci	sci	PROPN
brj-22443	484	2	.	.	PROPN
brj-22443	484	3	16(2	16(2	NUM
brj-22443	484	4	)	)	PUNCT
brj-22443	484	5	,	,	PUNCT
brj-22443	484	6	63	63	NUM
brj-22443	484	7	-	-	SYM
brj-22443	484	8	72	72	NUM
brj-22443	484	9	.	.	PUNCT
brj-22443	485	1	miles	mile	NOUN
brj-22443	485	2	,	,	PUNCT
brj-22443	485	3	k.	k.	PROPN
brj-22443	485	4	b.	b.	PROPN
brj-22443	485	5	,	,	PUNCT
brj-22443	485	6	and	and	CCONJ
brj-22443	485	7	may	may	AUX
brj-22443	485	8	,	,	PUNCT
brj-22443	485	9	w.	w.	PROPN
brj-22443	485	10	d.	d.	PROPN
brj-22443	485	11	(	(	PUNCT
brj-22443	485	12	1991	1991	NUM
brj-22443	485	13	)	)	PUNCT
brj-22443	485	14	.	.	PUNCT
brj-22443	486	1	“	"	PUNCT
brj-22443	486	2	predicting	predict	VERB
brj-22443	486	3	the	the	DET
brj-22443	486	4	performance	performance	NOUN
brj-22443	486	5	of	of	ADP
brj-22443	486	6	a	a	DET
brj-22443	486	7	chip	chip	NOUN
brj-22443	486	8	refiner	refiner	NOUN
brj-22443	486	9	:	:	PUNCT
brj-22443	486	10	a	a	DET
brj-22443	486	11	constitutive	constitutive	ADJ
brj-22443	486	12	approach	approach	NOUN
brj-22443	486	13	,	,	PUNCT
brj-22443	486	14	”	"	PUNCT
brj-22443	486	15	in	in	ADP
brj-22443	486	16	:	:	PUNCT
brj-22443	486	17	international	international	ADJ
brj-22443	486	18	mechanical	mechanical	ADJ
brj-22443	486	19	pulping	pulp	VERB
brj-22443	486	20	conference	conference	NOUN
brj-22443	486	21	,	,	PUNCT
brj-22443	486	22	minneapolis	minneapolis	PROPN
brj-22443	486	23	,	,	PUNCT
brj-22443	486	24	usa	usa	PROPN
brj-22443	486	25	,	,	PUNCT
brj-22443	486	26	pp	pp	PROPN
brj-22443	486	27	.	.	PUNCT
brj-22443	487	1	295	295	NUM
brj-22443	487	2	-	-	SYM
brj-22443	487	3	301	301	NUM
brj-22443	487	4	.	.	PUNCT
brj-22443	487	5	principe	principe	PROPN
brj-22443	487	6	,	,	PUNCT
brj-22443	487	7	j.	j.	PROPN
brj-22443	487	8	c.	c.	PROPN
brj-22443	487	9	,	,	PUNCT
brj-22443	487	10	euliano	euliano	PROPN
brj-22443	487	11	,	,	PUNCT
brj-22443	487	12	n.	n.	PROPN
brj-22443	487	13	r.	r.	PROPN
brj-22443	487	14	,	,	PUNCT
brj-22443	487	15	and	and	CCONJ
brj-22443	487	16	lefebvre	lefebvre	PROPN
brj-22443	487	17	,	,	PUNCT
brj-22443	487	18	w.	w.	PROPN
brj-22443	487	19	c.	c.	PROPN
brj-22443	487	20	(	(	PUNCT
brj-22443	487	21	2000	2000	NUM
brj-22443	487	22	)	)	PUNCT
brj-22443	487	23	.	.	PUNCT
brj-22443	488	1	neural	neural	ADJ
brj-22443	488	2	and	and	CCONJ
brj-22443	488	3	adaptive	adaptive	ADJ
brj-22443	488	4	systems	system	NOUN
brj-22443	488	5	,	,	PUNCT
brj-22443	488	6	wiley	wiley	NOUN
brj-22443	488	7	,	,	PUNCT
brj-22443	488	8	new	new	PROPN
brj-22443	488	9	york	york	PROPN
brj-22443	488	10	,	,	PUNCT
brj-22443	488	11	ny	ny	PROPN
brj-22443	488	12	,	,	PUNCT
brj-22443	488	13	usa	usa	PROPN
brj-22443	488	14	.	.	PROPN
brj-22443	488	15	qin	qin	PROPN
brj-22443	488	16	,	,	PUNCT
brj-22443	488	17	s.	s.	PROPN
brj-22443	488	18	j.	j.	PROPN
brj-22443	488	19	(	(	PUNCT
brj-22443	488	20	1997	1997	NUM
brj-22443	488	21	)	)	PUNCT
brj-22443	488	22	.	.	PUNCT
brj-22443	489	1	“	"	PUNCT
brj-22443	489	2	neural	neural	ADJ
brj-22443	489	3	networks	network	NOUN
brj-22443	489	4	for	for	ADP
brj-22443	489	5	intelligent	intelligent	ADJ
brj-22443	489	6	sensors	sensor	NOUN
brj-22443	489	7	and	and	CCONJ
brj-22443	489	8	control	control	NOUN
brj-22443	489	9	–	–	PUNCT
brj-22443	489	10	practical	practical	ADJ
brj-22443	489	11	issues	issue	NOUN
brj-22443	489	12	and	and	CCONJ
brj-22443	489	13	some	some	DET
brj-22443	489	14	solutions	solution	NOUN
brj-22443	489	15	,	,	PUNCT
brj-22443	489	16	”	"	PUNCT
brj-22443	489	17	in	in	ADP
brj-22443	489	18	:	:	PUNCT
brj-22443	489	19	neural	neural	ADJ
brj-22443	489	20	networks	network	NOUN
brj-22443	489	21	for	for	ADP
brj-22443	489	22	control	control	NOUN
brj-22443	489	23	,	,	PUNCT
brj-22443	489	24	academic	academic	ADJ
brj-22443	489	25	press	press	NOUN
brj-22443	489	26	,	,	PUNCT
brj-22443	489	27	san	san	PROPN
brj-22443	489	28	diego	diego	PROPN
brj-22443	489	29	,	,	PUNCT
brj-22443	489	30	usa	usa	PROPN
brj-22443	489	31	pp	pp	PROPN
brj-22443	489	32	.	.	PUNCT
brj-22443	490	1	213	213	NUM
brj-22443	490	2	-	-	SYM
brj-22443	490	3	234	234	NUM
brj-22443	490	4	.	.	PUNCT
brj-22443	490	5	peer	peer	NOUN
brj-22443	490	6	-	-	PUNCT
brj-22443	490	7	reviewed	review	VERB
brj-22443	490	8	article	article	NOUN
brj-22443	490	9	bioresources.com	bioresources.com	X
brj-22443	490	10	karlström	karlström	NOUN
brj-22443	490	11	et	et	PROPN
brj-22443	490	12	al	al	PROPN
brj-22443	490	13	.	.	PROPN
brj-22443	490	14	(	(	PUNCT
brj-22443	490	15	2023	2023	NUM
brj-22443	490	16	)	)	PUNCT
brj-22443	490	17	.	.	PUNCT
brj-22443	491	1	“	"	PUNCT
brj-22443	491	2	soft	soft	ADJ
brj-22443	491	3	sensors	sensor	NOUN
brj-22443	491	4	in	in	ADP
brj-22443	491	5	refining	refining	NOUN
brj-22443	491	6	,	,	PUNCT
brj-22443	491	7	”	"	PUNCT
brj-22443	491	8	bioresources	bioresource	NOUN
brj-22443	491	9	18(4	18(4	NUM
brj-22443	491	10	)	)	PUNCT
brj-22443	491	11	,	,	PUNCT
brj-22443	491	12	8163	8163	NUM
brj-22443	491	13	-	-	SYM
brj-22443	491	14	8186	8186	NUM
brj-22443	491	15	.	.	PUNCT
brj-22443	491	16	8184	8184	NUM
brj-22443	491	17	sund	sund	PROPN
brj-22443	491	18	,	,	PUNCT
brj-22443	491	19	j.	j.	PROPN
brj-22443	491	20	,	,	PUNCT
brj-22443	491	21	sandberg	sandberg	PROPN
brj-22443	491	22	,	,	PUNCT
brj-22443	491	23	c.	c.	PROPN
brj-22443	491	24	,	,	PUNCT
brj-22443	491	25	karlström	karlström	NOUN
brj-22443	491	26	,	,	PUNCT
brj-22443	491	27	a.	a.	NOUN
brj-22443	491	28	,	,	PUNCT
brj-22443	491	29	thungström	thungström	NOUN
brj-22443	491	30	,	,	PUNCT
brj-22443	491	31	g.	g.	PROPN
brj-22443	491	32	,	,	PUNCT
brj-22443	491	33	and	and	CCONJ
brj-22443	491	34	engstrand	engstrand	ADV
brj-22443	491	35	,	,	PUNCT
brj-22443	491	36	p.	p.	NOUN
brj-22443	491	37	(	(	PUNCT
brj-22443	491	38	2021	2021	NUM
brj-22443	491	39	)	)	PUNCT
brj-22443	491	40	.	.	PUNCT
brj-22443	492	1	“	"	PUNCT
brj-22443	492	2	the	the	DET
brj-22443	492	3	effect	effect	NOUN
brj-22443	492	4	of	of	ADP
brj-22443	492	5	process	process	NOUN
brj-22443	492	6	design	design	NOUN
brj-22443	492	7	on	on	ADP
brj-22443	492	8	refiner	refiner	NOUN
brj-22443	492	9	pulp	pulp	NOUN
brj-22443	492	10	quality	quality	NOUN
brj-22443	492	11	control	control	NOUN
brj-22443	492	12	performance	performance	NOUN
brj-22443	492	13	,	,	PUNCT
brj-22443	492	14	”	"	PUNCT
brj-22443	492	15	nord	nord	PROPN
brj-22443	492	16	.	.	PUNCT
brj-22443	492	17	pulp	pulp	NOUN
brj-22443	492	18	pap	pap	PROPN
brj-22443	492	19	.	.	PUNCT
brj-22443	493	1	res	re	NOUN
brj-22443	493	2	.	.	PUNCT
brj-22443	494	1	j.	j.	PROPN
brj-22443	494	2	36(4	36(4	PROPN
brj-22443	494	3	)	)	PUNCT
brj-22443	494	4	,	,	PUNCT
brj-22443	494	5	594	594	NUM
brj-22443	494	6	-	-	SYM
brj-22443	494	7	607	607	NUM
brj-22443	494	8	.	.	PUNCT
brj-22443	495	1	doi	doi	NOUN
brj-22443	495	2	:	:	PUNCT
brj-22443	495	3	10.1515	10.1515	NUM
brj-22443	495	4	/	/	SYM
brj-22443	495	5	npprj-2021	npprj-2021	NOUN
brj-22443	495	6	-	-	PUNCT
brj-22443	495	7	0011	0011	NUM
brj-22443	495	8	wold	wold	X
brj-22443	495	9	,	,	PUNCT
brj-22443	495	10	s.	s.	PROPN
brj-22443	495	11	,	,	PUNCT
brj-22443	495	12	sjöström	sjöström	NOUN
brj-22443	495	13	,	,	PUNCT
brj-22443	495	14	m.	m.	NOUN
brj-22443	495	15	,	,	PUNCT
brj-22443	495	16	and	and	CCONJ
brj-22443	495	17	eriksson	eriksson	PROPN
brj-22443	495	18	,	,	PUNCT
brj-22443	495	19	l.	l.	PROPN
brj-22443	495	20	(	(	PUNCT
brj-22443	495	21	2001	2001	NUM
brj-22443	495	22	)	)	PUNCT
brj-22443	495	23	.	.	PUNCT
brj-22443	496	1	“	"	PUNCT
brj-22443	496	2	pls	pls	INTJ
brj-22443	496	3	-	-	PUNCT
brj-22443	496	4	regression	regression	NOUN
brj-22443	496	5	:	:	PUNCT
brj-22443	496	6	a	a	DET
brj-22443	496	7	basic	basic	ADJ
brj-22443	496	8	tool	tool	NOUN
brj-22443	496	9	of	of	ADP
brj-22443	496	10	chemometrics	chemometric	NOUN
brj-22443	496	11	,	,	PUNCT
brj-22443	496	12	”	"	PUNCT
brj-22443	496	13	chemometr	chemometr	NOUN
brj-22443	496	14	.	.	PUNCT
brj-22443	497	1	intell	intell	PROPN
brj-22443	497	2	.	.	PUNCT
brj-22443	498	1	lab	lab	PROPN
brj-22443	498	2	.	.	PUNCT
brj-22443	498	3	syst	syst	PROPN
brj-22443	498	4	.	.	PUNCT
brj-22443	499	1	58(2	58(2	NUM
brj-22443	499	2	)	)	PUNCT
brj-22443	499	3	,	,	PUNCT
brj-22443	499	4	109–130	109–130	NUM
brj-22443	499	5	.	.	PUNCT
brj-22443	500	1	doi	doi	NOUN
brj-22443	500	2	:	:	PUNCT
brj-22443	500	3	10.1016	10.1016	NUM
brj-22443	500	4	/	/	SYM
brj-22443	500	5	s01697439(01)00155	s01697439(01)00155	PROPN
brj-22443	500	6	-	-	PUNCT
brj-22443	500	7	1	1	NUM
brj-22443	500	8	article	article	NOUN
brj-22443	500	9	submitted	submit	VERB
brj-22443	500	10	:	:	PUNCT
brj-22443	500	11	january	january	PROPN
brj-22443	500	12	8	8	NUM
brj-22443	500	13	,	,	PUNCT
brj-22443	500	14	2023	2023	NUM
brj-22443	500	15	;	;	PUNCT
brj-22443	500	16	peer	peer	NOUN
brj-22443	500	17	review	review	NOUN
brj-22443	500	18	completed	complete	VERB
brj-22443	500	19	:	:	PUNCT
brj-22443	500	20	april	april	PROPN
brj-22443	500	21	21	21	NUM
brj-22443	500	22	,	,	PUNCT
brj-22443	500	23	2023	2023	NUM
brj-22443	500	24	;	;	PUNCT
brj-22443	500	25	revised	revise	VERB
brj-22443	500	26	version	version	NOUN
brj-22443	500	27	received	receive	VERB
brj-22443	500	28	:	:	PUNCT
brj-22443	500	29	october	october	PROPN
brj-22443	500	30	8	8	NUM
brj-22443	500	31	,	,	PUNCT
brj-22443	500	32	2023	2023	NUM
brj-22443	500	33	;	;	PUNCT
brj-22443	500	34	accepted	accept	VERB
brj-22443	500	35	:	:	PUNCT
brj-22443	500	36	october	october	PROPN
brj-22443	500	37	9	9	NUM
brj-22443	500	38	,	,	PUNCT
brj-22443	500	39	2023	2023	NUM
brj-22443	500	40	;	;	PUNCT
brj-22443	500	41	published	publish	VERB
brj-22443	500	42	:	:	PUNCT
brj-22443	500	43	october	october	PROPN
brj-22443	500	44	17	17	NUM
brj-22443	500	45	,	,	PUNCT
brj-22443	500	46	2023	2023	NUM
brj-22443	500	47	.	.	PUNCT
brj-22443	501	1	doi	doi	NOUN
brj-22443	501	2	:	:	PUNCT
brj-22443	501	3	10.15376	10.15376	NUM
brj-22443	501	4	/	/	SYM
brj-22443	501	5	biores.18.4.8163	biores.18.4.8163	NOUN
brj-22443	501	6	-	-	PUNCT
brj-22443	501	7	8186	8186	NUM
brj-22443	501	8	peer	peer	NOUN
brj-22443	501	9	-	-	PUNCT
brj-22443	501	10	reviewed	review	VERB
brj-22443	501	11	article	article	NOUN
brj-22443	501	12	bioresources.com	bioresources.com	X
brj-22443	501	13	karlström	karlström	NOUN
brj-22443	501	14	et	et	PROPN
brj-22443	501	15	al	al	PROPN
brj-22443	501	16	.	.	PROPN
brj-22443	501	17	(	(	PUNCT
brj-22443	501	18	2023	2023	NUM
brj-22443	501	19	)	)	PUNCT
brj-22443	501	20	.	.	PUNCT
brj-22443	502	1	“	"	PUNCT
brj-22443	502	2	soft	soft	ADJ
brj-22443	502	3	sensors	sensor	NOUN
brj-22443	502	4	in	in	ADP
brj-22443	502	5	refining	refining	NOUN
brj-22443	502	6	,	,	PUNCT
brj-22443	502	7	”	"	PUNCT
brj-22443	502	8	bioresources	bioresource	NOUN
brj-22443	502	9	18(4	18(4	NUM
brj-22443	502	10	)	)	PUNCT
brj-22443	502	11	,	,	PUNCT
brj-22443	502	12	8163	8163	NUM
brj-22443	502	13	-	-	SYM
brj-22443	502	14	8186	8186	NUM
brj-22443	502	15	.	.	PUNCT
brj-22443	503	1	8185	8185	NUM
brj-22443	503	2	appendix	appendix	NOUN
brj-22443	503	3	consider	consider	VERB
brj-22443	503	4	table	table	NOUN
brj-22443	503	5	a1	a1	NOUN
brj-22443	503	6	,	,	PUNCT
brj-22443	503	7	where	where	SCONJ
brj-22443	503	8	five	five	NUM
brj-22443	503	9	different	different	ADJ
brj-22443	503	10	sets	set	NOUN
brj-22443	503	11	of	of	ADP
brj-22443	503	12	vif	vif	NOUN
brj-22443	503	13	are	be	AUX
brj-22443	503	14	given	give	VERB
brj-22443	503	15	.	.	PUNCT
brj-22443	504	1	these	these	DET
brj-22443	504	2	sets	set	NOUN
brj-22443	504	3	are	be	AUX
brj-22443	504	4	derived	derive	VERB
brj-22443	504	5	using	use	VERB
brj-22443	504	6	the	the	DET
brj-22443	504	7	time	time	NOUN
brj-22443	504	8	series	series	PROPN
brj-22443	504	9	presented	present	VERB
brj-22443	504	10	by	by	ADP
brj-22443	504	11	karlström	karlström	PROPN
brj-22443	504	12	et	et	PROPN
brj-22443	504	13	al	al	PROPN
brj-22443	504	14	.	.	PROPN
brj-22443	505	1	(	(	PUNCT
brj-22443	505	2	2020	2020	NUM
brj-22443	505	3	)	)	PUNCT
brj-22443	505	4	.	.	PUNCT
brj-22443	506	1	it	it	PRON
brj-22443	506	2	is	be	AUX
brj-22443	506	3	obvious	obvious	ADJ
brj-22443	506	4	that	that	SCONJ
brj-22443	506	5	the	the	DET
brj-22443	506	6	use	use	NOUN
brj-22443	506	7	of	of	ADP
brj-22443	506	8	both	both	CCONJ
brj-22443	506	9	the	the	DET
brj-22443	506	10	consistencies	consistency	NOUN
brj-22443	506	11	(	(	PUNCT
brj-22443	506	12	cfz	cfz	X
brj-22443	506	13	and	and	CCONJ
brj-22443	506	14	ccd	ccd	NOUN
brj-22443	506	15	)	)	PUNCT
brj-22443	506	16	and	and	CCONJ
brj-22443	506	17	the	the	DET
brj-22443	506	18	fiber	fiber	NOUN
brj-22443	506	19	residence	residence	PROPN
brj-22443	506	20	times	time	NOUN
brj-22443	506	21	(	(	PUNCT
brj-22443	506	22	resfz	resfz	NOUN
brj-22443	506	23	and	and	CCONJ
brj-22443	506	24	rescd	rescd	VERB
brj-22443	506	25	)	)	PUNCT
brj-22443	506	26	in	in	ADP
brj-22443	506	27	case	case	NOUN
brj-22443	506	28	1	1	NUM
brj-22443	506	29	will	will	AUX
brj-22443	506	30	result	result	VERB
brj-22443	506	31	in	in	ADP
brj-22443	506	32	too	too	ADV
brj-22443	506	33	high	high	ADJ
brj-22443	506	34	vifs	vif	NOUN
brj-22443	506	35	.	.	PUNCT
brj-22443	507	1	from	from	ADP
brj-22443	507	2	a	a	DET
brj-22443	507	3	modeling	modeling	NOUN
brj-22443	507	4	perspective	perspective	NOUN
brj-22443	507	5	,	,	PUNCT
brj-22443	507	6	it	it	PRON
brj-22443	507	7	is	be	AUX
brj-22443	507	8	tempting	tempting	ADJ
brj-22443	507	9	to	to	PART
brj-22443	507	10	reject	reject	VERB
brj-22443	507	11	some	some	PRON
brj-22443	507	12	of	of	ADP
brj-22443	507	13	the	the	DET
brj-22443	507	14	collinear	collinear	ADJ
brj-22443	507	15	internal	internal	ADJ
brj-22443	507	16	variables	variable	NOUN
brj-22443	507	17	,	,	PUNCT
brj-22443	507	18	e.g.	e.g.	ADV
brj-22443	507	19	,	,	PUNCT
brj-22443	507	20	ccd	ccd	NOUN
brj-22443	507	21	and/or	and/or	CCONJ
brj-22443	507	22	rescd	rescd	VERB
brj-22443	507	23	,	,	PUNCT
brj-22443	507	24	to	to	PART
brj-22443	507	25	considerably	considerably	ADV
brj-22443	507	26	reduce	reduce	VERB
brj-22443	507	27	the	the	DET
brj-22443	507	28	vif	vif	NOUN
brj-22443	507	29	(	(	PUNCT
brj-22443	507	30	see	see	VERB
brj-22443	507	31	case	case	NOUN
brj-22443	507	32	4	4	NUM
brj-22443	507	33	in	in	ADP
brj-22443	507	34	table	table	NOUN
brj-22443	507	35	a1	a1	NOUN
brj-22443	507	36	)	)	PUNCT
brj-22443	507	37	.	.	PUNCT
brj-22443	508	1	however	however	ADV
brj-22443	508	2	,	,	PUNCT
brj-22443	508	3	this	this	PRON
brj-22443	508	4	limits	limit	VERB
brj-22443	508	5	the	the	DET
brj-22443	508	6	possibility	possibility	NOUN
brj-22443	508	7	to	to	PART
brj-22443	508	8	control	control	VERB
brj-22443	508	9	the	the	DET
brj-22443	508	10	pulp	pulp	NOUN
brj-22443	508	11	property	property	NOUN
brj-22443	508	12	by	by	ADP
brj-22443	508	13	changing	change	VERB
brj-22443	508	14	the	the	DET
brj-22443	508	15	consistency	consistency	NOUN
brj-22443	508	16	and	and	CCONJ
brj-22443	508	17	the	the	DET
brj-22443	508	18	fiber	fiber	NOUN
brj-22443	508	19	residence	residence	NOUN
brj-22443	508	20	time	time	NOUN
brj-22443	508	21	in	in	ADP
brj-22443	508	22	the	the	DET
brj-22443	508	23	conical	conical	NOUN
brj-22443	508	24	zone	zone	NOUN
brj-22443	508	25	at	at	ADP
brj-22443	508	26	different	different	ADJ
brj-22443	508	27	production	production	NOUN
brj-22443	508	28	rates	rate	NOUN
brj-22443	508	29	.	.	PUNCT
brj-22443	509	1	moreover	moreover	ADV
brj-22443	509	2	,	,	PUNCT
brj-22443	509	3	consider	consider	VERB
brj-22443	509	4	table	table	NOUN
brj-22443	509	5	a2	a2	NOUN
brj-22443	509	6	,	,	PUNCT
brj-22443	509	7	where	where	SCONJ
brj-22443	509	8	a	a	DET
brj-22443	509	9	new	new	ADJ
brj-22443	509	10	set	set	NOUN
brj-22443	509	11	of	of	ADP
brj-22443	509	12	data	datum	NOUN
brj-22443	509	13	is	be	AUX
brj-22443	509	14	used	use	VERB
brj-22443	509	15	.	.	PUNCT
brj-22443	510	1	it	it	PRON
brj-22443	510	2	is	be	AUX
brj-22443	510	3	obvious	obvious	ADJ
brj-22443	510	4	that	that	SCONJ
brj-22443	510	5	the	the	DET
brj-22443	510	6	conclusions	conclusion	NOUN
brj-22443	510	7	above	above	ADV
brj-22443	510	8	can	can	AUX
brj-22443	510	9	be	be	AUX
brj-22443	510	10	questioned	question	VERB
brj-22443	510	11	,	,	PUNCT
brj-22443	510	12	as	as	SCONJ
brj-22443	510	13	the	the	DET
brj-22443	510	14	collinearities	collinearitie	NOUN
brj-22443	510	15	in	in	ADP
brj-22443	510	16	the	the	DET
brj-22443	510	17	consistencies	consistency	NOUN
brj-22443	510	18	are	be	AUX
brj-22443	510	19	reduced	reduce	VERB
brj-22443	510	20	significantly	significantly	ADV
brj-22443	510	21	,	,	PUNCT
brj-22443	510	22	statistically	statistically	ADV
brj-22443	510	23	speaking	speak	VERB
brj-22443	510	24	.	.	PUNCT
brj-22443	511	1	this	this	PRON
brj-22443	511	2	is	be	AUX
brj-22443	511	3	a	a	DET
brj-22443	511	4	consequence	consequence	NOUN
brj-22443	511	5	of	of	ADP
brj-22443	511	6	individual	individual	ADJ
brj-22443	511	7	excitation	excitation	NOUN
brj-22443	511	8	in	in	ADP
brj-22443	511	9	cd	cd	PROPN
brj-22443	511	10	that	that	PRON
brj-22443	511	11	is	be	AUX
brj-22443	511	12	more	more	ADV
brj-22443	511	13	pronounced	pronounced	ADJ
brj-22443	511	14	compared	compare	VERB
brj-22443	511	15	with	with	ADP
brj-22443	511	16	the	the	DET
brj-22443	511	17	changes	change	NOUN
brj-22443	511	18	in	in	ADP
brj-22443	511	19	the	the	DET
brj-22443	511	20	time	time	NOUN
brj-22443	511	21	series	series	NOUN
brj-22443	511	22	in	in	ADP
brj-22443	511	23	table	table	NOUN
brj-22443	511	24	a1	a1	NOUN
brj-22443	511	25	.	.	PUNCT
brj-22443	512	1	these	these	DET
brj-22443	512	2	examples	example	NOUN
brj-22443	512	3	indicate	indicate	VERB
brj-22443	512	4	that	that	SCONJ
brj-22443	512	5	the	the	DET
brj-22443	512	6	analysis	analysis	NOUN
brj-22443	512	7	of	of	ADP
brj-22443	512	8	collinearities	collinearitie	NOUN
brj-22443	512	9	in	in	ADP
brj-22443	512	10	real	real	ADJ
brj-22443	512	11	processes	process	NOUN
brj-22443	512	12	is	be	AUX
brj-22443	512	13	quite	quite	ADV
brj-22443	512	14	complex	complex	ADJ
brj-22443	512	15	and	and	CCONJ
brj-22443	512	16	should	should	AUX
brj-22443	512	17	be	be	AUX
brj-22443	512	18	handled	handle	VERB
brj-22443	512	19	with	with	ADP
brj-22443	512	20	care	care	NOUN
brj-22443	512	21	.	.	PUNCT
brj-22443	513	1	this	this	PRON
brj-22443	513	2	is	be	AUX
brj-22443	513	3	especially	especially	ADV
brj-22443	513	4	important	important	ADJ
brj-22443	513	5	when	when	SCONJ
brj-22443	513	6	the	the	DET
brj-22443	513	7	test	test	NOUN
brj-22443	513	8	procedure	procedure	NOUN
brj-22443	513	9	does	do	AUX
brj-22443	513	10	not	not	PART
brj-22443	513	11	contain	contain	VERB
brj-22443	513	12	,	,	PUNCT
brj-22443	513	13	e.g.	e.g.	ADV
brj-22443	513	14	,	,	PUNCT
brj-22443	513	15	specified	specify	VERB
brj-22443	513	16	step	step	NOUN
brj-22443	513	17	changes	change	NOUN
brj-22443	513	18	to	to	PART
brj-22443	513	19	suppress	suppress	VERB
brj-22443	513	20	the	the	DET
brj-22443	513	21	impact	impact	NOUN
brj-22443	513	22	from	from	ADP
brj-22443	513	23	different	different	ADJ
brj-22443	513	24	kinds	kind	NOUN
brj-22443	513	25	of	of	ADP
brj-22443	513	26	collinearities	collinearitie	NOUN
brj-22443	513	27	.	.	PUNCT
brj-22443	514	1	table	table	NOUN
brj-22443	514	2	a1	a1	PROPN
brj-22443	514	3	.	.	PUNCT
brj-22443	514	4	test	test	NOUN
brj-22443	514	5	series	series	PROPN
brj-22443	514	6	a	a	PRON
brj-22443	514	7	:	:	PUNCT
brj-22443	514	8	five	five	NUM
brj-22443	514	9	different	different	ADJ
brj-22443	514	10	sets	set	NOUN
brj-22443	514	11	of	of	ADP
brj-22443	514	12	variance	variance	NOUN
brj-22443	514	13	inflated	inflate	VERB
brj-22443	514	14	factors	factor	NOUN
brj-22443	514	15	for	for	ADP
brj-22443	514	16	the	the	DET
brj-22443	514	17	different	different	ADJ
brj-22443	514	18	inputs	input	NOUN
brj-22443	514	19	vif	vif	X
brj-22443	514	20	mload	mload	ADV
brj-22443	514	21	prod	prod	PROPN
brj-22443	514	22	cfz	cfz	PROPN
brj-22443	514	23	ccd	ccd	PROPN
brj-22443	514	24	res	re	NOUN
brj-22443	514	25	fz	fz	PROPN
brj-22443	514	26	res	re	NOUN
brj-22443	514	27	cd	cd	PROPN
brj-22443	514	28	chip	chip	NOUN
brj-22443	514	29	q	q	PROPN
brj-22443	514	30	tmax	tmax	ADP
brj-22443	514	31	fz	fz	VERB
brj-22443	514	32	tmax	tmax	PROPN
brj-22443	514	33	cd	cd	PROPN
brj-22443	514	34	tcd	tcd	PROPN
brj-22443	514	35	(	(	PUNCT
brj-22443	514	36	periphery	periphery	NOUN
brj-22443	514	37	)	)	PUNCT
brj-22443	514	38	case1	case1	NOUN
brj-22443	514	39	8.2	8.2	NUM
brj-22443	514	40	44.8	44.8	NUM
brj-22443	514	41	14.7	14.7	NUM
brj-22443	514	42	16.9	16.9	NUM
brj-22443	514	43	225.8	225.8	NUM
brj-22443	514	44	166.7	166.7	NUM
brj-22443	514	45	1.2	1.2	NUM
brj-22443	514	46	4.2	4.2	NUM
brj-22443	514	47	2.2	2.2	NUM
brj-22443	514	48	1.8	1.8	NUM
brj-22443	514	49	case2	case2	NOUN
brj-22443	514	50	1.1	1.1	NUM
brj-22443	514	51	11.6	11.6	NUM
brj-22443	514	52	11.8	11.8	NUM
brj-22443	514	53	case3	case3	NOUN
brj-22443	514	54	2.8	2.8	NUM
brj-22443	514	55	1.2	1.2	NUM
brj-22443	514	56	95.4	95.4	NUM
brj-22443	514	57	90.3	90.3	NUM
brj-22443	514	58	case4	case4	NOUN
brj-22443	514	59	2.7	2.7	NUM
brj-22443	514	60	1.2	1.2	NUM
brj-22443	514	61	2.5	2.5	NUM
brj-22443	514	62	case5	case5	NOUN
brj-22443	514	63	6.5	6.5	NUM
brj-22443	514	64	3.2	3.2	NUM
brj-22443	514	65	1.3	1.3	NUM
brj-22443	514	66	1.1	1.1	NUM
brj-22443	514	67	3.6	3.6	NUM
brj-22443	514	68	1.6	1.6	NUM
brj-22443	514	69	1.7	1.7	NUM
brj-22443	514	70	here	here	ADV
brj-22443	514	71	,	,	PUNCT
brj-22443	514	72	all	all	DET
brj-22443	514	73	process	process	NOUN
brj-22443	514	74	variables	variable	NOUN
brj-22443	514	75	are	be	AUX
brj-22443	514	76	described	describe	VERB
brj-22443	514	77	in	in	ADP
brj-22443	514	78	the	the	DET
brj-22443	514	79	main	main	ADJ
brj-22443	514	80	text	text	NOUN
brj-22443	514	81	except	except	SCONJ
brj-22443	514	82	tmaxfz	tmaxfz	NOUN
brj-22443	514	83	and	and	CCONJ
brj-22443	514	84	tcd	tcd	PROPN
brj-22443	514	85	(	(	PUNCT
brj-22443	514	86	periphery	periphery	NOUN
brj-22443	514	87	)	)	PUNCT
brj-22443	514	88	,	,	PUNCT
brj-22443	514	89	which	which	PRON
brj-22443	514	90	are	be	AUX
brj-22443	514	91	the	the	DET
brj-22443	514	92	temperatures	temperature	NOUN
brj-22443	514	93	close	close	ADJ
brj-22443	514	94	to	to	ADP
brj-22443	514	95	the	the	DET
brj-22443	514	96	periphery	periphery	ADJ
brj-22443	514	97	rim	rim	NOUN
brj-22443	514	98	of	of	ADP
brj-22443	514	99	the	the	DET
brj-22443	514	100	fzand	fzand	NOUN
brj-22443	514	101	cd	cd	PROPN
brj-22443	514	102	zone	zone	NOUN
brj-22443	514	103	segments	segment	NOUN
brj-22443	514	104	;	;	PUNCT
brj-22443	514	105	tmaxcd	tmaxcd	NOUN
brj-22443	514	106	corresponds	correspond	VERB
brj-22443	514	107	to	to	ADP
brj-22443	514	108	the	the	DET
brj-22443	514	109	first	first	ADJ
brj-22443	514	110	position	position	NOUN
brj-22443	514	111	in	in	ADP
brj-22443	514	112	the	the	DET
brj-22443	514	113	cd	cd	PROPN
brj-22443	514	114	-	-	PUNCT
brj-22443	514	115	zone	zone	NOUN
brj-22443	514	116	.	.	PUNCT
brj-22443	515	1	table	table	NOUN
brj-22443	515	2	a2	a2	PROPN
brj-22443	515	3	.	.	PUNCT
brj-22443	516	1	test	test	PROPN
brj-22443	516	2	series	series	PROPN
brj-22443	516	3	b	b	PROPN
brj-22443	516	4	:	:	PUNCT
brj-22443	516	5	five	five	NUM
brj-22443	516	6	different	different	ADJ
brj-22443	516	7	sets	set	NOUN
brj-22443	516	8	of	of	ADP
brj-22443	516	9	variance	variance	NOUN
brj-22443	516	10	inflated	inflate	VERB
brj-22443	516	11	factors	factor	NOUN
brj-22443	516	12	for	for	ADP
brj-22443	516	13	the	the	DET
brj-22443	516	14	different	different	ADJ
brj-22443	516	15	inputs	input	NOUN
brj-22443	516	16	vif	vif	X
brj-22443	516	17	mload	mload	ADV
brj-22443	516	18	prod	prod	PROPN
brj-22443	516	19	cfz	cfz	PROPN
brj-22443	516	20	ccd	ccd	PROPN
brj-22443	516	21	resfz	resfz	PROPN
brj-22443	516	22	rescd	rescd	VERB
brj-22443	516	23	chipq	chipq	NOUN
brj-22443	516	24	tmax	tmax	ADP
brj-22443	516	25	fz	fz	PROPN
brj-22443	516	26	tmax	tmax	PROPN
brj-22443	516	27	cd	cd	PROPN
brj-22443	516	28	tcd	tcd	PROPN
brj-22443	516	29	(	(	PUNCT
brj-22443	516	30	periphery	periphery	NOUN
brj-22443	516	31	)	)	PUNCT
brj-22443	516	32	case1	case1	NOUN
brj-22443	516	33	8.8	8.8	NUM
brj-22443	516	34	65.8	65.8	NUM
brj-22443	516	35	1.4	1.4	NUM
brj-22443	516	36	1.5	1.5	NUM
brj-22443	516	37	297.2	297.2	NUM
brj-22443	516	38	142.9	142.9	NUM
brj-22443	516	39	1.6	1.6	NUM
brj-22443	516	40	7.8	7.8	NUM
brj-22443	516	41	4.5	4.5	NUM
brj-22443	516	42	1.3	1.3	NUM
brj-22443	516	43	case2	case2	NOUN
brj-22443	517	1	1.,0	1.,0	NUM
brj-22443	517	2	1.4	1.4	NUM
brj-22443	517	3	1.4	1.4	NUM
brj-22443	517	4	case3	case3	NOUN
brj-22443	517	5	2.7	2.7	NUM
brj-22443	517	6	1.0	1.0	NUM
brj-22443	517	7	108.8	108.8	NUM
brj-22443	517	8	103.5	103.5	NUM
brj-22443	517	9	case4	case4	NOUN
brj-22443	517	10	2.6	2.6	NUM
brj-22443	517	11	1.0	1.0	NUM
brj-22443	517	12	2.6	2.6	NUM
brj-22443	517	13	case5	case5	NOUN
brj-22443	517	14	8.1	8.1	NUM
brj-22443	517	15	4.3	4.3	NUM
brj-22443	517	16	1.0	1.0	NUM
brj-22443	517	17	1.5	1.5	NUM
brj-22443	517	18	6.4	6.4	NUM
brj-22443	517	19	4.1	4.1	NUM
brj-22443	517	20	1.3	1.3	NUM
brj-22443	517	21	here	here	ADV
brj-22443	517	22	,	,	PUNCT
brj-22443	517	23	all	all	DET
brj-22443	517	24	process	process	NOUN
brj-22443	517	25	variables	variable	NOUN
brj-22443	517	26	are	be	AUX
brj-22443	517	27	described	describe	VERB
brj-22443	517	28	in	in	ADP
brj-22443	517	29	the	the	DET
brj-22443	517	30	main	main	ADJ
brj-22443	517	31	text	text	NOUN
brj-22443	517	32	except	except	SCONJ
brj-22443	517	33	tmaxfz	tmaxfz	NOUN
brj-22443	517	34	and	and	CCONJ
brj-22443	517	35	tcd	tcd	PROPN
brj-22443	517	36	(	(	PUNCT
brj-22443	517	37	periphery	periphery	NOUN
brj-22443	517	38	)	)	PUNCT
brj-22443	517	39	,	,	PUNCT
brj-22443	517	40	which	which	PRON
brj-22443	517	41	are	be	AUX
brj-22443	517	42	the	the	DET
brj-22443	517	43	temperatures	temperature	NOUN
brj-22443	517	44	close	close	ADJ
brj-22443	517	45	to	to	ADP
brj-22443	517	46	the	the	DET
brj-22443	517	47	periphery	periphery	ADJ
brj-22443	517	48	rim	rim	NOUN
brj-22443	517	49	of	of	ADP
brj-22443	517	50	the	the	DET
brj-22443	517	51	fzand	fzand	NOUN
brj-22443	517	52	cd	cd	PROPN
brj-22443	517	53	zone	zone	NOUN
brj-22443	517	54	segments	segment	NOUN
brj-22443	517	55	;	;	PUNCT
brj-22443	517	56	tmaxcd	tmaxcd	NOUN
brj-22443	517	57	corresponds	correspond	VERB
brj-22443	517	58	to	to	ADP
brj-22443	517	59	the	the	DET
brj-22443	517	60	first	first	ADJ
brj-22443	517	61	position	position	NOUN
brj-22443	517	62	in	in	ADP
brj-22443	517	63	the	the	DET
brj-22443	517	64	cd	cd	PROPN
brj-22443	517	65	-	-	PUNCT
brj-22443	517	66	zone	zone	NOUN
brj-22443	517	67	.	.	PUNCT
brj-22443	518	1	peer	peer	NOUN
brj-22443	518	2	-	-	PUNCT
brj-22443	518	3	reviewed	review	VERB
brj-22443	518	4	article	article	NOUN
brj-22443	518	5	bioresources.com	bioresources.com	X
brj-22443	518	6	karlström	karlström	NOUN
brj-22443	518	7	et	et	PROPN
brj-22443	518	8	al	al	PROPN
brj-22443	518	9	.	.	PROPN
brj-22443	518	10	(	(	PUNCT
brj-22443	518	11	2023	2023	NUM
brj-22443	518	12	)	)	PUNCT
brj-22443	518	13	.	.	PUNCT
brj-22443	519	1	“	"	PUNCT
brj-22443	519	2	soft	soft	ADJ
brj-22443	519	3	sensors	sensor	NOUN
brj-22443	519	4	in	in	ADP
brj-22443	519	5	refining	refining	NOUN
brj-22443	519	6	,	,	PUNCT
brj-22443	519	7	”	"	PUNCT
brj-22443	519	8	bioresources	bioresource	NOUN
brj-22443	519	9	18(4	18(4	NUM
brj-22443	519	10	)	)	PUNCT
brj-22443	519	11	,	,	PUNCT
brj-22443	519	12	8163	8163	NUM
brj-22443	519	13	-	-	SYM
brj-22443	519	14	8186	8186	NUM
brj-22443	519	15	.	.	PUNCT
brj-22443	520	1	8186	8186	NUM
brj-22443	520	2	to	to	PART
brj-22443	520	3	further	far	ADV
brj-22443	520	4	clarify	clarify	VERB
brj-22443	520	5	the	the	DET
brj-22443	520	6	problem	problem	NOUN
brj-22443	520	7	when	when	SCONJ
brj-22443	520	8	using	use	VERB
brj-22443	520	9	vif	vif	NOUN
brj-22443	520	10	in	in	ADP
brj-22443	520	11	more	more	ADJ
brj-22443	520	12	complex	complex	ADJ
brj-22443	520	13	systems	system	NOUN
brj-22443	520	14	,	,	PUNCT
brj-22443	520	15	assume	assume	VERB
brj-22443	520	16	that	that	SCONJ
brj-22443	520	17	the	the	DET
brj-22443	520	18	fiber	fiber	NOUN
brj-22443	520	19	residence	residence	PROPN
brj-22443	520	20	times	time	NOUN
brj-22443	520	21	in	in	ADP
brj-22443	520	22	the	the	DET
brj-22443	520	23	fz	fz	NOUN
brj-22443	520	24	and	and	CCONJ
brj-22443	520	25	cd	cd	PROPN
brj-22443	520	26	are	be	AUX
brj-22443	520	27	primarily	primarily	ADV
brj-22443	520	28	affected	affect	VERB
brj-22443	520	29	by	by	ADP
brj-22443	520	30	the	the	DET
brj-22443	520	31	production	production	NOUN
brj-22443	520	32	rate	rate	NOUN
brj-22443	520	33	and	and	CCONJ
brj-22443	520	34	the	the	DET
brj-22443	520	35	plate	plate	NOUN
brj-22443	520	36	gaps	gap	VERB
brj-22443	520	37	.	.	PUNCT
brj-22443	521	1	if	if	SCONJ
brj-22443	521	2	the	the	DET
brj-22443	521	3	plate	plate	NOUN
brj-22443	521	4	gaps	gap	NOUN
brj-22443	521	5	are	be	AUX
brj-22443	521	6	assumed	assume	VERB
brj-22443	521	7	to	to	PART
brj-22443	521	8	be	be	AUX
brj-22443	521	9	unchanged	unchanged	ADJ
brj-22443	521	10	,	,	PUNCT
brj-22443	521	11	then	then	ADV
brj-22443	521	12	the	the	DET
brj-22443	521	13	production	production	NOUN
brj-22443	521	14	rate	rate	NOUN
brj-22443	521	15	will	will	AUX
brj-22443	521	16	affect	affect	VERB
brj-22443	521	17	both	both	DET
brj-22443	521	18	residence	residence	NOUN
brj-22443	521	19	times	time	NOUN
brj-22443	521	20	in	in	ADP
brj-22443	521	21	the	the	DET
brj-22443	521	22	fz	fz	NOUN
brj-22443	521	23	and	and	CCONJ
brj-22443	521	24	cd	cd	PROPN
brj-22443	521	25	,	,	PUNCT
brj-22443	521	26	i.e.	i.e.	X
brj-22443	521	27	,	,	PUNCT
brj-22443	521	28	an	an	DET
brj-22443	521	29	interdependency	interdependency	NOUN
brj-22443	521	30	between	between	ADP
brj-22443	521	31	the	the	DET
brj-22443	521	32	inputs	input	NOUN
brj-22443	521	33	exists	exist	VERB
brj-22443	521	34	.	.	PUNCT
brj-22443	522	1	contrastingly	contrastingly	ADV
brj-22443	522	2	,	,	PUNCT
brj-22443	522	3	a	a	DET
brj-22443	522	4	completely	completely	ADV
brj-22443	522	5	new	new	ADJ
brj-22443	522	6	situation	situation	NOUN
brj-22443	522	7	occurs	occur	VERB
brj-22443	522	8	at	at	ADP
brj-22443	522	9	stable	stable	ADJ
brj-22443	522	10	production	production	NOUN
brj-22443	522	11	rate	rate	NOUN
brj-22443	522	12	and	and	CCONJ
brj-22443	522	13	variable	variable	ADJ
brj-22443	522	14	plate	plate	NOUN
brj-22443	522	15	gaps	gap	NOUN
brj-22443	522	16	.	.	PUNCT
brj-22443	523	1	suppose	suppose	VERB
brj-22443	523	2	that	that	SCONJ
brj-22443	523	3	the	the	DET
brj-22443	523	4	plate	plate	NOUN
brj-22443	523	5	gap	gap	NOUN
brj-22443	523	6	in	in	ADP
brj-22443	523	7	the	the	DET
brj-22443	523	8	fz	fz	NOUN
brj-22443	523	9	(	(	PUNCT
brj-22443	523	10	or	or	CCONJ
brj-22443	523	11	cd	cd	PROPN
brj-22443	523	12	)	)	PUNCT
brj-22443	523	13	is	be	AUX
brj-22443	523	14	changed	change	VERB
brj-22443	523	15	.	.	PUNCT
brj-22443	524	1	this	this	DET
brj-22443	524	2	results	result	VERB
brj-22443	524	3	in	in	ADP
brj-22443	524	4	an	an	DET
brj-22443	524	5	unchanged	unchanged	ADJ
brj-22443	524	6	fiber	fiber	NOUN
brj-22443	524	7	residence	residence	NOUN
brj-22443	524	8	time	time	NOUN
brj-22443	524	9	in	in	ADP
brj-22443	524	10	the	the	DET
brj-22443	524	11	cd	cd	PROPN
brj-22443	524	12	(	(	PUNCT
brj-22443	524	13	or	or	CCONJ
brj-22443	524	14	fz	fz	VERB
brj-22443	524	15	)	)	PUNCT
brj-22443	524	16	,	,	PUNCT
brj-22443	524	17	i.e.	i.e.	X
brj-22443	524	18	,	,	PUNCT
brj-22443	524	19	no	no	DET
brj-22443	524	20	linear	linear	ADJ
brj-22443	524	21	correlation	correlation	NOUN
brj-22443	524	22	between	between	ADP
brj-22443	524	23	the	the	DET
brj-22443	524	24	two	two	NUM
brj-22443	524	25	refining	refining	NOUN
brj-22443	524	26	zones	zone	NOUN
brj-22443	524	27	exists	exist	VERB
brj-22443	524	28	.	.	PUNCT
brj-22443	525	1	these	these	DET
brj-22443	525	2	two	two	NUM
brj-22443	525	3	examples	example	NOUN
brj-22443	525	4	show	show	VERB
brj-22443	525	5	that	that	SCONJ
brj-22443	525	6	the	the	DET
brj-22443	525	7	collinearities	collinearitie	NOUN
brj-22443	525	8	are	be	AUX
brj-22443	525	9	dependent	dependent	ADJ
brj-22443	525	10	on	on	ADP
brj-22443	525	11	how	how	SCONJ
brj-22443	525	12	the	the	DET
brj-22443	525	13	process	process	NOUN
brj-22443	525	14	is	be	AUX
brj-22443	525	15	manipulated	manipulate	VERB
brj-22443	525	16	.	.	PUNCT
brj-22443	526	1	a	a	DET
brj-22443	526	2	similar	similar	ADJ
brj-22443	526	3	situation	situation	NOUN
brj-22443	526	4	occurs	occur	VERB
brj-22443	526	5	when	when	SCONJ
brj-22443	526	6	changing	change	VERB
brj-22443	526	7	the	the	DET
brj-22443	526	8	dilution	dilution	NOUN
brj-22443	526	9	water	water	NOUN
brj-22443	526	10	feed	feed	NOUN
brj-22443	526	11	rate	rate	NOUN
brj-22443	526	12	to	to	ADP
brj-22443	526	13	the	the	DET
brj-22443	526	14	fz	fz	NOUN
brj-22443	526	15	as	as	SCONJ
brj-22443	526	16	such	such	ADJ
brj-22443	526	17	changes	change	NOUN
brj-22443	526	18	affect	affect	VERB
brj-22443	526	19	the	the	DET
brj-22443	526	20	entire	entire	ADJ
brj-22443	526	21	consistency	consistency	NOUN
brj-22443	526	22	profile	profile	NOUN
brj-22443	526	23	in	in	ADP
brj-22443	526	24	both	both	CCONJ
brj-22443	526	25	the	the	DET
brj-22443	526	26	fz	fz	NOUN
brj-22443	526	27	and	and	CCONJ
brj-22443	526	28	cd	cd	PROPN
brj-22443	526	29	,	,	PUNCT
brj-22443	526	30	while	while	SCONJ
brj-22443	526	31	a	a	DET
brj-22443	526	32	change	change	NOUN
brj-22443	526	33	in	in	ADP
brj-22443	526	34	the	the	DET
brj-22443	526	35	dilution	dilution	NOUN
brj-22443	526	36	water	water	NOUN
brj-22443	526	37	feed	feed	NOUN
brj-22443	526	38	rate	rate	NOUN
brj-22443	526	39	to	to	ADP
brj-22443	526	40	the	the	DET
brj-22443	526	41	cd	cd	PROPN
brj-22443	526	42	-	-	PUNCT
brj-22443	526	43	zone	zone	NOUN
brj-22443	526	44	does	do	AUX
brj-22443	526	45	not	not	PART
brj-22443	526	46	affect	affect	VERB
brj-22443	526	47	the	the	DET
brj-22443	526	48	consistency	consistency	NOUN
brj-22443	526	49	in	in	ADP
brj-22443	526	50	the	the	DET
brj-22443	526	51	fz	fz	NOUN
brj-22443	526	52	.	.	PUNCT
brj-22443	527	1	however	however	ADV
brj-22443	527	2	,	,	PUNCT
brj-22443	527	3	if	if	SCONJ
brj-22443	527	4	the	the	DET
brj-22443	527	5	non	non	ADJ
brj-22443	527	6	-	-	ADJ
brj-22443	527	7	linear	linear	ADJ
brj-22443	527	8	model	model	NOUN
brj-22443	527	9	in	in	ADP
brj-22443	527	10	fig	fig	NOUN
brj-22443	527	11	.	.	PUNCT
brj-22443	527	12	2	2	NUM
brj-22443	527	13	is	be	AUX
brj-22443	527	14	available	available	ADJ
brj-22443	527	15	on	on	ADP
brj-22443	527	16	-	-	PUNCT
brj-22443	527	17	line	line	NOUN
brj-22443	527	18	the	the	DET
brj-22443	527	19	situation	situation	NOUN
brj-22443	527	20	described	describe	VERB
brj-22443	527	21	above	above	ADV
brj-22443	527	22	is	be	AUX
brj-22443	527	23	not	not	PART
brj-22443	527	24	a	a	DET
brj-22443	527	25	problem	problem	NOUN
brj-22443	527	26	because	because	SCONJ
brj-22443	527	27	the	the	DET
brj-22443	527	28	estimated	estimate	VERB
brj-22443	527	29	internal	internal	ADJ
brj-22443	527	30	variables	variable	NOUN
brj-22443	527	31	are	be	AUX
brj-22443	527	32	changed	change	VERB
brj-22443	527	33	simultaneously	simultaneously	ADV
brj-22443	527	34	when	when	SCONJ
brj-22443	527	35	changing	change	VERB
brj-22443	527	36	production	production	NOUN
brj-22443	527	37	,	,	PUNCT
brj-22443	527	38	dilution	dilution	NOUN
brj-22443	527	39	water	water	NOUN
brj-22443	527	40	feed	feed	NOUN
brj-22443	527	41	rates	rate	NOUN
brj-22443	527	42	and	and	CCONJ
brj-22443	527	43	plate	plate	NOUN
brj-22443	527	44	gaps	gap	NOUN
brj-22443	527	45	etc	etc	X
brj-22443	527	46	.	.	X
brj-22443	528	1	in	in	ADP
brj-22443	528	2	contrast	contrast	NOUN
brj-22443	528	3	,	,	PUNCT
brj-22443	528	4	if	if	SCONJ
brj-22443	528	5	the	the	DET
brj-22443	528	6	empirical	empirical	ADJ
brj-22443	528	7	model	model	NOUN
brj-22443	528	8	is	be	AUX
brj-22443	528	9	assumed	assume	VERB
brj-22443	528	10	to	to	PART
brj-22443	528	11	be	be	AUX
brj-22443	528	12	a	a	DET
brj-22443	528	13	standalone	standalone	ADJ
brj-22443	528	14	estimator	estimator	NOUN
brj-22443	528	15	for	for	ADP
brj-22443	528	16	pulp	pulp	NOUN
brj-22443	528	17	properties	property	NOUN
brj-22443	528	18	,	,	PUNCT
brj-22443	528	19	the	the	DET
brj-22443	528	20	collinear	collinear	ADJ
brj-22443	528	21	predictors	predictor	NOUN
brj-22443	528	22	must	must	AUX
brj-22443	528	23	be	be	AUX
brj-22443	528	24	simultaneously	simultaneously	ADV
brj-22443	528	25	changed	change	VERB
brj-22443	528	26	.	.	PUNCT
brj-22443	529	1	this	this	PRON
brj-22443	529	2	can	can	AUX
brj-22443	529	3	also	also	ADV
brj-22443	529	4	be	be	AUX
brj-22443	529	5	troublesome	troublesome	ADJ
brj-22443	529	6	to	to	PART
brj-22443	529	7	perform	perform	VERB
brj-22443	529	8	when	when	SCONJ
brj-22443	529	9	external	external	ADJ
brj-22443	529	10	variables	variable	NOUN
brj-22443	529	11	are	be	AUX
brj-22443	529	12	used	use	VERB
brj-22443	529	13	as	as	ADP
brj-22443	529	14	predictors	predictor	NOUN
brj-22443	529	15	.	.	PUNCT
brj-22443	530	1	to	to	PART
brj-22443	530	2	end	end	VERB
brj-22443	530	3	this	this	DET
brj-22443	530	4	discussion	discussion	NOUN
brj-22443	530	5	,	,	PUNCT
brj-22443	530	6	the	the	DET
brj-22443	530	7	authors	author	NOUN
brj-22443	530	8	include	include	VERB
brj-22443	530	9	the	the	DET
brj-22443	530	10	vifs	vif	NOUN
brj-22443	530	11	for	for	ADP
brj-22443	530	12	two	two	NUM
brj-22443	530	13	sets	set	NOUN
brj-22443	530	14	of	of	ADP
brj-22443	530	15	predictors	predictor	NOUN
brj-22443	530	16	based	base	VERB
brj-22443	530	17	on	on	ADP
brj-22443	530	18	the	the	DET
brj-22443	530	19	time	time	NOUN
brj-22443	530	20	series	series	NOUN
brj-22443	530	21	in	in	ADP
brj-22443	530	22	table	table	NOUN
brj-22443	530	23	a2	a2	PROPN
brj-22443	530	24	.	.	PUNCT
brj-22443	531	1	the	the	DET
brj-22443	531	2	first	first	ADJ
brj-22443	531	3	set	set	NOUN
brj-22443	531	4	includes	include	VERB
brj-22443	531	5	the	the	DET
brj-22443	531	6	dominant	dominant	ADJ
brj-22443	531	7	internal	internal	ADJ
brj-22443	531	8	variables	variable	NOUN
brj-22443	531	9	,	,	PUNCT
brj-22443	531	10	consistency	consistency	NOUN
brj-22443	531	11	and	and	CCONJ
brj-22443	531	12	fiber	fiber	NOUN
brj-22443	531	13	residence	residence	NOUN
brj-22443	531	14	time	time	NOUN
brj-22443	531	15	,	,	PUNCT
brj-22443	531	16	and	and	CCONJ
brj-22443	531	17	the	the	DET
brj-22443	531	18	second	second	ADJ
brj-22443	531	19	set	set	NOUN
brj-22443	531	20	consists	consist	VERB
brj-22443	531	21	primarily	primarily	ADV
brj-22443	531	22	of	of	ADP
brj-22443	531	23	the	the	DET
brj-22443	531	24	external	external	ADJ
brj-22443	531	25	variables	variable	NOUN
brj-22443	531	26	represented	represent	VERB
brj-22443	531	27	by	by	ADP
brj-22443	531	28	dilution	dilution	NOUN
brj-22443	531	29	water	water	NOUN
brj-22443	531	30	added	add	VERB
brj-22443	531	31	to	to	ADP
brj-22443	531	32	each	each	DET
brj-22443	531	33	refining	refining	NOUN
brj-22443	531	34	zone	zone	NOUN
brj-22443	531	35	together	together	ADV
brj-22443	531	36	with	with	ADP
brj-22443	531	37	the	the	DET
brj-22443	531	38	plate	plate	NOUN
brj-22443	531	39	gaps	gap	NOUN
brj-22443	531	40	,	,	PUNCT
brj-22443	531	41	see	see	VERB
brj-22443	531	42	table	table	NOUN
brj-22443	531	43	a3	a3	NOUN
brj-22443	531	44	.	.	PUNCT
brj-22443	531	45	table	table	NOUN
brj-22443	531	46	a3	a3	NOUN
brj-22443	531	47	.	.	PUNCT
brj-22443	532	1	two	two	NUM
brj-22443	532	2	different	different	ADJ
brj-22443	532	3	sets	set	NOUN
brj-22443	532	4	of	of	ADP
brj-22443	532	5	variance	variance	NOUN
brj-22443	532	6	inflated	inflate	VERB
brj-22443	532	7	factors	factor	NOUN
brj-22443	532	8	for	for	ADP
brj-22443	532	9	the	the	DET
brj-22443	532	10	different	different	ADJ
brj-22443	532	11	inputs	input	NOUN
brj-22443	532	12	represented	represent	VERB
brj-22443	532	13	by	by	ADP
brj-22443	532	14	internal	internal	ADJ
brj-22443	532	15	and	and	CCONJ
brj-22443	532	16	external	external	ADJ
brj-22443	532	17	variables	variable	NOUN
brj-22443	532	18	spe	spe	PROPN
brj-22443	532	19	cfz	cfz	PROPN
brj-22443	532	20	ccd	ccd	PROPN
brj-22443	532	21	resfz	resfz	NOUN
brj-22443	532	22	rescd	rescd	ADJ
brj-22443	532	23	chipq	chipq	PROPN
brj-22443	532	24	tmaxfz	tmaxfz	PROPN
brj-22443	532	25	tcd(periphery	tcd(periphery	PROPN
brj-22443	532	26	)	)	PUNCT
brj-22443	532	27	5,6	5,6	NUM
brj-22443	532	28	1,4	1,4	NUM
brj-22443	532	29	1,5	1,5	NUM
brj-22443	532	30	173,0	173,0	NUM
brj-22443	532	31	131,0	131,0	NUM
brj-22443	532	32	1,5	1,5	NUM
brj-22443	532	33	5,7	5,7	NUM
brj-22443	532	34	1,3	1,3	NUM
brj-22443	532	35	spe	spe	NOUN
brj-22443	532	36	dilfz	dilfz	ADJ
brj-22443	532	37	dilcd	dilcd	NOUN
brj-22443	532	38	gapfz	gapfz	NOUN
brj-22443	532	39	gapcd	gapcd	PROPN
brj-22443	532	40	chipq	chipq	PROPN
brj-22443	532	41	tmaxfz	tmaxfz	PROPN
brj-22443	532	42	tcd(periphery	tcd(periphery	PROPN
brj-22443	532	43	)	)	PUNCT
brj-22443	532	44	1,6	1,6	NUM
brj-22443	532	45	1,9	1,9	NUM
brj-22443	532	46	1,4	1,4	NUM
brj-22443	532	47	1,7	1,7	NUM
brj-22443	532	48	1,9	1,9	NUM
brj-22443	532	49	1,2	1,2	NUM
brj-22443	532	50	2,3	2,3	NUM
brj-22443	532	51	1,6	1,6	NUM
brj-22443	532	52	it	it	PRON
brj-22443	532	53	is	be	AUX
brj-22443	532	54	obvious	obvious	ADJ
brj-22443	532	55	that	that	SCONJ
brj-22443	532	56	the	the	DET
brj-22443	532	57	use	use	NOUN
brj-22443	532	58	of	of	ADP
brj-22443	532	59	external	external	ADJ
brj-22443	532	60	variables	variable	NOUN
brj-22443	532	61	as	as	ADP
brj-22443	532	62	predictors	predictor	NOUN
brj-22443	532	63	is	be	AUX
brj-22443	532	64	slightly	slightly	ADV
brj-22443	532	65	more	more	ADV
brj-22443	532	66	favorable	favorable	ADJ
brj-22443	532	67	in	in	ADP
brj-22443	532	68	terms	term	NOUN
brj-22443	532	69	of	of	ADP
brj-22443	532	70	lower	low	ADJ
brj-22443	532	71	vif	vif	NOUN
brj-22443	532	72	when	when	SCONJ
brj-22443	532	73	trying	try	VERB
brj-22443	532	74	to	to	PART
brj-22443	532	75	select	select	VERB
brj-22443	532	76	input	input	NOUN
brj-22443	532	77	candidates	candidate	NOUN
brj-22443	532	78	in	in	ADP
brj-22443	532	79	models	model	NOUN
brj-22443	532	80	where	where	SCONJ
brj-22443	532	81	low	low	ADJ
brj-22443	532	82	vifs	vif	NOUN
brj-22443	532	83	are	be	AUX
brj-22443	532	84	requested	request	VERB
brj-22443	532	85	.	.	PUNCT
brj-22443	533	1	especially	especially	ADV
brj-22443	533	2	,	,	PUNCT
brj-22443	533	3	in	in	ADP
brj-22443	533	4	the	the	DET
brj-22443	533	5	case	case	NOUN
brj-22443	533	6	that	that	SCONJ
brj-22443	533	7	the	the	DET
brj-22443	533	8	consistencies	consistency	NOUN
brj-22443	533	9	in	in	ADP
brj-22443	533	10	the	the	DET
brj-22443	533	11	fz	fz	NOUN
brj-22443	533	12	and	and	CCONJ
brj-22443	533	13	cd	cd	PROPN
brj-22443	533	14	are	be	AUX
brj-22443	533	15	preferred	prefer	VERB
brj-22443	533	16	as	as	ADP
brj-22443	533	17	predictors	predictor	NOUN
brj-22443	533	18	,	,	PUNCT
brj-22443	533	19	the	the	DET
brj-22443	533	20	fiber	fiber	NOUN
brj-22443	533	21	residence	residence	NOUN
brj-22443	533	22	times	time	NOUN
brj-22443	533	23	can	can	AUX
brj-22443	533	24	be	be	AUX
brj-22443	533	25	replaced	replace	VERB
brj-22443	533	26	by	by	ADP
brj-22443	533	27	the	the	DET
brj-22443	533	28	plate	plate	NOUN
brj-22443	533	29	gaps	gap	NOUN
brj-22443	533	30	in	in	ADP
brj-22443	533	31	this	this	DET
brj-22443	533	32	example	example	NOUN
brj-22443	533	33	as	as	SCONJ
brj-22443	533	34	the	the	DET
brj-22443	533	35	production	production	NOUN
brj-22443	533	36	is	be	AUX
brj-22443	533	37	included	include	VERB
brj-22443	533	38	indirectly	indirectly	ADV
brj-22443	533	39	via	via	ADP
brj-22443	533	40	the	the	DET
brj-22443	533	41	specific	specific	ADJ
brj-22443	533	42	energy	energy	NOUN
brj-22443	533	43	.	.	PUNCT