id	sid	tid	token	lemma	pos
brj-24486	1	1	peer	peer	NOUN
brj-24486	1	2	-	-	PUNCT
brj-24486	1	3	review	review	NOUN
brj-24486	1	4	article	article	NOUN
brj-24486	1	5	peer	peer	NOUN
brj-24486	1	6	-	-	PUNCT
brj-24486	1	7	reviewed	review	VERB
brj-24486	1	8	article	article	NOUN
brj-24486	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	1	10	arabi	arabi	PROPN
brj-24486	1	11	&	&	CCONJ
brj-24486	1	12	ghalehno	ghalehno	PROPN
brj-24486	1	13	(	(	PUNCT
brj-24486	1	14	2026	2026	NUM
brj-24486	1	15	)	)	PUNCT
brj-24486	1	16	.	.	PUNCT
brj-24486	2	1	“	"	PUNCT
brj-24486	2	2	wood	wood	NOUN
brj-24486	2	3	fiber	fiber	NOUN
brj-24486	2	4	drying	dry	VERB
brj-24486	2	5	,	,	PUNCT
brj-24486	2	6	”	"	PUNCT
brj-24486	2	7	bioresources	bioresource	NOUN
brj-24486	2	8	21(1	21(1	NUM
brj-24486	2	9	)	)	PUNCT
brj-24486	2	10	,	,	PUNCT
brj-24486	2	11	654	654	NUM
brj-24486	2	12	-	-	SYM
brj-24486	2	13	672	672	NUM
brj-24486	2	14	.	.	PUNCT
brj-24486	3	1	654	654	NUM
brj-24486	3	2	thin	thin	ADJ
brj-24486	3	3	-	-	PUNCT
brj-24486	3	4	layer	layer	NOUN
brj-24486	3	5	drying	dry	VERB
brj-24486	3	6	models	model	NOUN
brj-24486	3	7	and	and	CCONJ
brj-24486	3	8	artificial	artificial	ADJ
brj-24486	3	9	neural	neural	ADJ
brj-24486	3	10	network	network	NOUN
brj-24486	3	11	for	for	ADP
brj-24486	3	12	wood	wood	NOUN
brj-24486	3	13	fiber	fiber	NOUN
brj-24486	3	14	in	in	ADP
brj-24486	3	15	a	a	DET
brj-24486	3	16	near	near	ADV
brj-24486	3	17	-	-	PUNCT
brj-24486	3	18	infrared	infrare	VERB
brj-24486	3	19	dryer	dryer	NOUN
brj-24486	3	20	mohammad	mohammad	PROPN
brj-24486	3	21	arabi	arabi	PROPN
brj-24486	3	22	,	,	PUNCT
brj-24486	3	23	*	*	PUNCT
brj-24486	3	24	and	and	CCONJ
brj-24486	3	25	mohammad	mohammad	PROPN
brj-24486	3	26	dahmardeh	dahmardeh	PROPN
brj-24486	3	27	ghalehno	ghalehno	VERB
brj-24486	3	28	the	the	DET
brj-24486	3	29	purpose	purpose	NOUN
brj-24486	3	30	of	of	ADP
brj-24486	3	31	this	this	DET
brj-24486	3	32	study	study	NOUN
brj-24486	3	33	was	be	AUX
brj-24486	3	34	to	to	PART
brj-24486	3	35	fit	fit	VERB
brj-24486	3	36	and	and	CCONJ
brj-24486	3	37	compare	compare	VERB
brj-24486	3	38	semi	semi	ADJ
brj-24486	3	39	-	-	ADJ
brj-24486	3	40	empirical	empirical	ADJ
brj-24486	3	41	thin	thin	ADJ
brj-24486	3	42	-	-	PUNCT
brj-24486	3	43	layer	layer	NOUN
brj-24486	3	44	drying	dry	VERB
brj-24486	3	45	models	model	NOUN
brj-24486	3	46	and	and	CCONJ
brj-24486	3	47	an	an	DET
brj-24486	3	48	artificial	artificial	ADJ
brj-24486	3	49	neural	neural	ADJ
brj-24486	3	50	network	network	NOUN
brj-24486	3	51	(	(	PUNCT
brj-24486	3	52	ann	ann	PROPN
brj-24486	3	53	)	)	PUNCT
brj-24486	3	54	model	model	NOUN
brj-24486	3	55	to	to	PART
brj-24486	3	56	describe	describe	VERB
brj-24486	3	57	the	the	DET
brj-24486	3	58	drying	dry	VERB
brj-24486	3	59	kinetics	kinetic	NOUN
brj-24486	3	60	of	of	ADP
brj-24486	3	61	wood	wood	NOUN
brj-24486	3	62	fiber	fiber	NOUN
brj-24486	3	63	in	in	ADP
brj-24486	3	64	a	a	DET
brj-24486	3	65	near	near	ADV
brj-24486	3	66	-	-	PUNCT
brj-24486	3	67	infrared	infrared	ADJ
brj-24486	3	68	(	(	PUNCT
brj-24486	3	69	nir	nir	NOUN
brj-24486	3	70	)	)	PUNCT
brj-24486	3	71	dryer	dryer	NOUN
brj-24486	3	72	.	.	PUNCT
brj-24486	4	1	the	the	DET
brj-24486	4	2	drying	dry	VERB
brj-24486	4	3	kinetics	kinetic	NOUN
brj-24486	4	4	of	of	ADP
brj-24486	4	5	wood	wood	NOUN
brj-24486	4	6	fiber	fiber	NOUN
brj-24486	4	7	were	be	AUX
brj-24486	4	8	evaluated	evaluate	VERB
brj-24486	4	9	using	use	VERB
brj-24486	4	10	18	18	NUM
brj-24486	4	11	semi	semi	ADJ
brj-24486	4	12	-	-	ADJ
brj-24486	4	13	empirical	empirical	ADJ
brj-24486	4	14	models	model	NOUN
brj-24486	4	15	at	at	ADP
brj-24486	4	16	three	three	NUM
brj-24486	4	17	temperatures	temperature	NOUN
brj-24486	4	18	(	(	PUNCT
brj-24486	4	19	105	105	NUM
brj-24486	4	20	,	,	PUNCT
brj-24486	4	21	120	120	NUM
brj-24486	4	22	,	,	PUNCT
brj-24486	4	23	and	and	CCONJ
brj-24486	4	24	135	135	NUM
brj-24486	4	25	°	°	NOUN
brj-24486	4	26	c	c	NOUN
brj-24486	4	27	)	)	PUNCT
brj-24486	4	28	,	,	PUNCT
brj-24486	4	29	utilizing	utilize	VERB
brj-24486	4	30	a	a	DET
brj-24486	4	31	halogen	halogen	NOUN
brj-24486	4	32	moisture	moisture	NOUN
brj-24486	4	33	analyzer	analyzer	NOUN
brj-24486	4	34	.	.	PUNCT
brj-24486	5	1	the	the	DET
brj-24486	5	2	ann	ann	PROPN
brj-24486	5	3	model	model	NOUN
brj-24486	5	4	was	be	AUX
brj-24486	5	5	designed	design	VERB
brj-24486	5	6	with	with	ADP
brj-24486	5	7	temperature	temperature	NOUN
brj-24486	5	8	and	and	CCONJ
brj-24486	5	9	time	time	NOUN
brj-24486	5	10	as	as	ADP
brj-24486	5	11	input	input	NOUN
brj-24486	5	12	factors	factor	NOUN
brj-24486	5	13	and	and	CCONJ
brj-24486	5	14	moisture	moisture	NOUN
brj-24486	5	15	content	content	NOUN
brj-24486	5	16	as	as	ADP
brj-24486	5	17	the	the	DET
brj-24486	5	18	output	output	NOUN
brj-24486	5	19	variable	variable	NOUN
brj-24486	5	20	.	.	PUNCT
brj-24486	6	1	the	the	DET
brj-24486	6	2	findings	finding	NOUN
brj-24486	6	3	revealed	reveal	VERB
brj-24486	6	4	that	that	SCONJ
brj-24486	6	5	the	the	DET
brj-24486	6	6	drying	dry	VERB
brj-24486	6	7	process	process	NOUN
brj-24486	6	8	was	be	AUX
brj-24486	6	9	mainly	mainly	ADV
brj-24486	6	10	controlled	control	VERB
brj-24486	6	11	by	by	ADP
brj-24486	6	12	a	a	DET
brj-24486	6	13	diffusion	diffusion	NOUN
brj-24486	6	14	mechanism	mechanism	NOUN
brj-24486	6	15	,	,	PUNCT
brj-24486	6	16	and	and	CCONJ
brj-24486	6	17	all	all	DET
brj-24486	6	18	the	the	DET
brj-24486	6	19	process	process	NOUN
brj-24486	6	20	occurred	occur	VERB
brj-24486	6	21	in	in	ADP
brj-24486	6	22	two	two	NUM
brj-24486	6	23	falling	fall	VERB
brj-24486	6	24	drying	dry	VERB
brj-24486	6	25	rate	rate	NOUN
brj-24486	6	26	periods	period	NOUN
brj-24486	6	27	.	.	PUNCT
brj-24486	7	1	the	the	DET
brj-24486	7	2	fitness	fitness	NOUN
brj-24486	7	3	of	of	ADP
brj-24486	7	4	drying	dry	VERB
brj-24486	7	5	curves	curve	NOUN
brj-24486	7	6	on	on	ADP
brj-24486	7	7	semi	semi	ADJ
brj-24486	7	8	-	-	ADJ
brj-24486	7	9	theoretical	theoretical	ADJ
brj-24486	7	10	models	model	NOUN
brj-24486	7	11	based	base	VERB
brj-24486	7	12	on	on	ADP
brj-24486	7	13	statistical	statistical	ADJ
brj-24486	7	14	parameters	parameter	NOUN
brj-24486	7	15	,	,	PUNCT
brj-24486	7	16	including	include	VERB
brj-24486	7	17	rmse	rmse	NOUN
brj-24486	7	18	,	,	PUNCT
brj-24486	7	19	sse	sse	NOUN
brj-24486	7	20	,	,	PUNCT
brj-24486	7	21	and	and	CCONJ
brj-24486	7	22	r2	r2	PROPN
brj-24486	7	23	showed	show	VERB
brj-24486	7	24	that	that	SCONJ
brj-24486	7	25	there	there	PRON
brj-24486	7	26	was	be	VERB
brj-24486	7	27	not	not	PART
brj-24486	7	28	much	much	ADJ
brj-24486	7	29	difference	difference	NOUN
brj-24486	7	30	between	between	ADP
brj-24486	7	31	equations	equation	NOUN
brj-24486	7	32	with	with	ADP
brj-24486	7	33	a	a	DET
brj-24486	7	34	maximum	maximum	NOUN
brj-24486	7	35	of	of	ADP
brj-24486	7	36	two	two	NUM
brj-24486	7	37	constant	constant	ADJ
brj-24486	7	38	parameters	parameter	NOUN
brj-24486	7	39	and	and	CCONJ
brj-24486	7	40	equations	equation	NOUN
brj-24486	7	41	with	with	ADP
brj-24486	7	42	more	more	ADJ
brj-24486	7	43	than	than	ADP
brj-24486	7	44	two	two	NUM
brj-24486	7	45	constant	constant	ADJ
brj-24486	7	46	parameters	parameter	NOUN
brj-24486	7	47	.	.	PUNCT
brj-24486	8	1	therefore	therefore	ADV
brj-24486	8	2	,	,	PUNCT
brj-24486	8	3	using	use	VERB
brj-24486	8	4	a	a	DET
brj-24486	8	5	simple	simple	ADJ
brj-24486	8	6	model	model	NOUN
brj-24486	8	7	can	can	AUX
brj-24486	8	8	help	help	VERB
brj-24486	8	9	to	to	PART
brj-24486	8	10	reduce	reduce	VERB
brj-24486	8	11	the	the	DET
brj-24486	8	12	time	time	NOUN
brj-24486	8	13	of	of	ADP
brj-24486	8	14	the	the	DET
brj-24486	8	15	analysis	analysis	NOUN
brj-24486	8	16	and	and	CCONJ
brj-24486	8	17	is	be	AUX
brj-24486	8	18	beneficial	beneficial	ADJ
brj-24486	8	19	to	to	PART
brj-24486	8	20	avoid	avoid	VERB
brj-24486	8	21	using	use	VERB
brj-24486	8	22	complex	complex	ADJ
brj-24486	8	23	drying	dry	VERB
brj-24486	8	24	models	model	NOUN
brj-24486	8	25	.	.	PUNCT
brj-24486	9	1	also	also	ADV
brj-24486	9	2	,	,	PUNCT
brj-24486	9	3	the	the	DET
brj-24486	9	4	results	result	NOUN
brj-24486	9	5	showed	show	VERB
brj-24486	9	6	that	that	SCONJ
brj-24486	9	7	at	at	ADP
brj-24486	9	8	higher	high	ADJ
brj-24486	9	9	drying	dry	VERB
brj-24486	9	10	temperatures	temperature	NOUN
brj-24486	9	11	(	(	PUNCT
brj-24486	9	12	120	120	NUM
brj-24486	9	13	to	to	PART
brj-24486	9	14	135	135	NUM
brj-24486	9	15	°	°	NOUN
brj-24486	9	16	c	c	NOUN
brj-24486	9	17	)	)	PUNCT
brj-24486	9	18	,	,	PUNCT
brj-24486	9	19	both	both	CCONJ
brj-24486	9	20	ann	ann	PROPN
brj-24486	9	21	and	and	CCONJ
brj-24486	9	22	the	the	DET
brj-24486	9	23	best	well	ADV
brj-24486	9	24	-	-	PUNCT
brj-24486	9	25	performing	perform	VERB
brj-24486	9	26	semi	semi	ADJ
brj-24486	9	27	-	-	ADJ
brj-24486	9	28	empirical	empirical	ADJ
brj-24486	9	29	models	model	NOUN
brj-24486	9	30	(	(	PUNCT
brj-24486	9	31	page	page	NOUN
brj-24486	9	32	and	and	CCONJ
brj-24486	9	33	henderson	henderson	PROPN
brj-24486	9	34	–	–	PUNCT
brj-24486	9	35	pabis	pabis	NOUN
brj-24486	9	36	)	)	PUNCT
brj-24486	9	37	produced	produce	VERB
brj-24486	9	38	comparable	comparable	ADJ
brj-24486	9	39	accuracy	accuracy	NOUN
brj-24486	9	40	,	,	PUNCT
brj-24486	9	41	whereas	whereas	SCONJ
brj-24486	9	42	at	at	ADP
brj-24486	9	43	lower	low	ADJ
brj-24486	9	44	temperature	temperature	NOUN
brj-24486	9	45	(	(	PUNCT
brj-24486	9	46	105	105	NUM
brj-24486	9	47	°	°	NOUN
brj-24486	9	48	c	c	NOUN
brj-24486	9	49	)	)	PUNCT
brj-24486	9	50	,	,	PUNCT
brj-24486	9	51	ann	ann	PROPN
brj-24486	9	52	performed	perform	VERB
brj-24486	9	53	better	well	ADV
brj-24486	9	54	due	due	ADP
brj-24486	9	55	to	to	ADP
brj-24486	9	56	its	its	PRON
brj-24486	9	57	flexibility	flexibility	NOUN
brj-24486	9	58	.	.	PUNCT
brj-24486	10	1	doi	doi	NOUN
brj-24486	10	2	:	:	PUNCT
brj-24486	10	3	10.15376	10.15376	NUM
brj-24486	10	4	/	/	SYM
brj-24486	10	5	biores.21.1.654	biores.21.1.654	NOUN
brj-24486	10	6	-	-	PUNCT
brj-24486	10	7	672	672	NUM
brj-24486	10	8	keywords	keyword	NOUN
brj-24486	10	9	:	:	PUNCT
brj-24486	10	10	artificial	artificial	ADJ
brj-24486	10	11	neural	neural	ADJ
brj-24486	10	12	network	network	NOUN
brj-24486	10	13	;	;	PUNCT
brj-24486	10	14	drying	dry	VERB
brj-24486	10	15	kinetics	kinetic	NOUN
brj-24486	10	16	;	;	PUNCT
brj-24486	10	17	moisture	moisture	NOUN
brj-24486	10	18	content	content	NOUN
brj-24486	10	19	;	;	PUNCT
brj-24486	10	20	wood	wood	NOUN
brj-24486	10	21	fiber	fiber	NOUN
brj-24486	10	22	contact	contact	NOUN
brj-24486	10	23	information	information	NOUN
brj-24486	10	24	:	:	PUNCT
brj-24486	10	25	department	department	NOUN
brj-24486	10	26	of	of	ADP
brj-24486	10	27	wood	wood	NOUN
brj-24486	10	28	science	science	NOUN
brj-24486	10	29	and	and	CCONJ
brj-24486	10	30	technology	technology	NOUN
brj-24486	10	31	,	,	PUNCT
brj-24486	10	32	faculty	faculty	NOUN
brj-24486	10	33	of	of	ADP
brj-24486	10	34	natural	natural	ADJ
brj-24486	10	35	resources	resource	NOUN
brj-24486	10	36	,	,	PUNCT
brj-24486	10	37	university	university	NOUN
brj-24486	10	38	of	of	ADP
brj-24486	10	39	zabol	zabol	NOUN
brj-24486	10	40	,	,	PUNCT
brj-24486	10	41	zabol	zabol	NOUN
brj-24486	10	42	,	,	PUNCT
brj-24486	10	43	iran	iran	PROPN
brj-24486	10	44	;	;	PUNCT
brj-24486	10	45	*	*	PUNCT
brj-24486	10	46	corresponding	correspond	VERB
brj-24486	10	47	author	author	NOUN
brj-24486	10	48	:	:	PUNCT
brj-24486	10	49	marabi@uoz.ac.ir	marabi@uoz.ac.ir	ADJ
brj-24486	10	50	introduction	introduction	NOUN
brj-24486	10	51	during	during	ADP
brj-24486	10	52	drying	dry	VERB
brj-24486	10	53	,	,	PUNCT
brj-24486	10	54	hornification	hornification	NOUN
brj-24486	10	55	occurs	occur	VERB
brj-24486	10	56	within	within	ADP
brj-24486	10	57	the	the	DET
brj-24486	10	58	cell	cell	NOUN
brj-24486	10	59	wall	wall	NOUN
brj-24486	10	60	,	,	PUNCT
brj-24486	10	61	where	where	SCONJ
brj-24486	10	62	pore	pore	ADJ
brj-24486	10	63	structures	structure	NOUN
brj-24486	10	64	tend	tend	VERB
brj-24486	10	65	to	to	PART
brj-24486	10	66	shrink	shrink	VERB
brj-24486	10	67	and	and	CCONJ
brj-24486	10	68	partially	partially	ADV
brj-24486	10	69	close	close	ADJ
brj-24486	10	70	as	as	SCONJ
brj-24486	10	71	moisture	moisture	NOUN
brj-24486	10	72	is	be	AUX
brj-24486	10	73	removed	remove	VERB
brj-24486	10	74	.	.	PUNCT
brj-24486	11	1	this	this	DET
brj-24486	11	2	phenomenon	phenomenon	NOUN
brj-24486	11	3	reduces	reduce	VERB
brj-24486	11	4	the	the	DET
brj-24486	11	5	accessibility	accessibility	NOUN
brj-24486	11	6	of	of	ADP
brj-24486	11	7	bound	bind	VERB
brj-24486	11	8	water	water	NOUN
brj-24486	11	9	and	and	CCONJ
brj-24486	11	10	alters	alter	VERB
brj-24486	11	11	diffusion	diffusion	NOUN
brj-24486	11	12	dynamics	dynamic	NOUN
brj-24486	11	13	(	(	PUNCT
brj-24486	11	14	sjöstrand	sjöstrand	PROPN
brj-24486	11	15	et	et	PROPN
brj-24486	11	16	al	al	PROPN
brj-24486	11	17	.	.	PROPN
brj-24486	11	18	2023	2023	NUM
brj-24486	11	19	)	)	PUNCT
brj-24486	11	20	.	.	PUNCT
brj-24486	12	1	as	as	ADP
brj-24486	12	2	a	a	DET
brj-24486	12	3	result	result	NOUN
brj-24486	12	4	,	,	PUNCT
brj-24486	12	5	researchers	researcher	NOUN
brj-24486	12	6	and	and	CCONJ
brj-24486	12	7	industry	industry	NOUN
brj-24486	12	8	owners	owner	NOUN
brj-24486	12	9	have	have	AUX
brj-24486	12	10	considered	consider	VERB
brj-24486	12	11	strategies	strategy	NOUN
brj-24486	12	12	to	to	PART
brj-24486	12	13	recognize	recognize	VERB
brj-24486	12	14	and	and	CCONJ
brj-24486	12	15	manage	manage	VERB
brj-24486	12	16	the	the	DET
brj-24486	12	17	drying	dry	VERB
brj-24486	12	18	process	process	NOUN
brj-24486	12	19	of	of	ADP
brj-24486	12	20	wood	wood	NOUN
brj-24486	12	21	and	and	CCONJ
brj-24486	12	22	cellulose	cellulose	NOUN
brj-24486	12	23	fiber	fiber	NOUN
brj-24486	12	24	.	.	PUNCT
brj-24486	13	1	modeling	model	VERB
brj-24486	13	2	the	the	DET
brj-24486	13	3	drying	dry	VERB
brj-24486	13	4	process	process	NOUN
brj-24486	13	5	of	of	ADP
brj-24486	13	6	cellulose	cellulose	NOUN
brj-24486	13	7	fiber	fiber	NOUN
brj-24486	13	8	is	be	AUX
brj-24486	13	9	one	one	NUM
brj-24486	13	10	technique	technique	NOUN
brj-24486	13	11	to	to	PART
brj-24486	13	12	identify	identify	VERB
brj-24486	13	13	and	and	CCONJ
brj-24486	13	14	manage	manage	VERB
brj-24486	13	15	the	the	DET
brj-24486	13	16	drying	dry	VERB
brj-24486	13	17	process	process	NOUN
brj-24486	13	18	.	.	PUNCT
brj-24486	14	1	several	several	ADJ
brj-24486	14	2	investigations	investigation	NOUN
brj-24486	14	3	have	have	AUX
brj-24486	14	4	been	be	AUX
brj-24486	14	5	carried	carry	VERB
brj-24486	14	6	out	out	ADP
brj-24486	14	7	to	to	PART
brj-24486	14	8	simulate	simulate	VERB
brj-24486	14	9	and	and	CCONJ
brj-24486	14	10	examine	examine	VERB
brj-24486	14	11	the	the	DET
brj-24486	14	12	drying	dry	VERB
brj-24486	14	13	kinetic	kinetic	NOUN
brj-24486	14	14	of	of	ADP
brj-24486	14	15	wood	wood	NOUN
brj-24486	14	16	and	and	CCONJ
brj-24486	14	17	cellulosic	cellulosic	NOUN
brj-24486	14	18	fibers	fiber	NOUN
brj-24486	14	19	based	base	VERB
brj-24486	14	20	on	on	ADP
brj-24486	14	21	fick	fick	PROPN
brj-24486	14	22	’s	’s	PART
brj-24486	14	23	law	law	NOUN
brj-24486	14	24	of	of	ADP
brj-24486	14	25	diffusion	diffusion	NOUN
brj-24486	14	26	(	(	PUNCT
brj-24486	14	27	dincer	dincer	NOUN
brj-24486	14	28	1998	1998	NUM
brj-24486	14	29	;	;	PUNCT
brj-24486	14	30	wang	wang	PROPN
brj-24486	14	31	et	et	PROPN
brj-24486	14	32	al	al	PROPN
brj-24486	14	33	.	.	PROPN
brj-24486	14	34	2007a	2007a	NOUN
brj-24486	14	35	;	;	PUNCT
brj-24486	14	36	remond	remond	NOUN
brj-24486	14	37	et	et	PROPN
brj-24486	14	38	al	al	PROPN
brj-24486	14	39	.	.	PROPN
brj-24486	14	40	2005	2005	NUM
brj-24486	14	41	;	;	PUNCT
brj-24486	14	42	salin	salin	PROPN
brj-24486	14	43	2008	2008	NUM
brj-24486	14	44	;	;	PUNCT
brj-24486	14	45	fernando	fernando	PROPN
brj-24486	14	46	et	et	PROPN
brj-24486	14	47	al	al	PROPN
brj-24486	14	48	.	.	PROPN
brj-24486	14	49	2018	2018	NUM
brj-24486	14	50	;	;	PUNCT
brj-24486	14	51	autengruber	autengruber	NOUN
brj-24486	14	52	et	et	PROPN
brj-24486	14	53	al	al	PROPN
brj-24486	14	54	.	.	PROPN
brj-24486	14	55	2020	2020	NUM
brj-24486	14	56	;	;	PUNCT
brj-24486	14	57	chanpet	chanpet	PROPN
brj-24486	14	58	et	et	PROPN
brj-24486	14	59	al	al	PROPN
brj-24486	14	60	.	.	PROPN
brj-24486	14	61	2020	2020	NUM
brj-24486	14	62	)	)	PUNCT
brj-24486	14	63	.	.	PUNCT
brj-24486	15	1	recently	recently	ADV
brj-24486	15	2	,	,	PUNCT
brj-24486	15	3	several	several	ADJ
brj-24486	15	4	studies	study	NOUN
brj-24486	15	5	have	have	AUX
brj-24486	15	6	shown	show	VERB
brj-24486	15	7	that	that	SCONJ
brj-24486	15	8	the	the	DET
brj-24486	15	9	theoretical	theoretical	ADJ
brj-24486	15	10	models	model	NOUN
brj-24486	15	11	do	do	AUX
brj-24486	15	12	not	not	PART
brj-24486	15	13	adequately	adequately	ADV
brj-24486	15	14	describe	describe	VERB
brj-24486	15	15	the	the	DET
brj-24486	15	16	fundamental	fundamental	ADJ
brj-24486	15	17	aspects	aspect	NOUN
brj-24486	15	18	of	of	ADP
brj-24486	15	19	the	the	DET
brj-24486	15	20	experimental	experimental	ADJ
brj-24486	15	21	wood	wood	NOUN
brj-24486	15	22	drying	dry	VERB
brj-24486	15	23	process	process	NOUN
brj-24486	15	24	.	.	PUNCT
brj-24486	16	1	remond	remond	NOUN
brj-24486	16	2	et	et	PROPN
brj-24486	16	3	al	al	PROPN
brj-24486	16	4	.	.	PROPN
brj-24486	17	1	(	(	PUNCT
brj-24486	17	2	2005	2005	NUM
brj-24486	17	3	)	)	PUNCT
brj-24486	17	4	indicated	indicate	VERB
brj-24486	17	5	that	that	SCONJ
brj-24486	17	6	when	when	SCONJ
brj-24486	17	7	softwoods	softwood	NOUN
brj-24486	17	8	dry	dry	VERB
brj-24486	17	9	,	,	PUNCT
brj-24486	17	10	a	a	DET
brj-24486	17	11	thin	thin	ADJ
brj-24486	17	12	and	and	CCONJ
brj-24486	17	13	dry	dry	ADJ
brj-24486	17	14	shell	shell	NOUN
brj-24486	17	15	without	without	ADP
brj-24486	17	16	free	free	ADJ
brj-24486	17	17	water	water	NOUN
brj-24486	17	18	develops	develop	VERB
brj-24486	17	19	quickly	quickly	ADV
brj-24486	17	20	in	in	ADP
brj-24486	17	21	the	the	DET
brj-24486	17	22	substrate	substrate	NOUN
brj-24486	17	23	near	near	ADP
brj-24486	17	24	the	the	DET
brj-24486	17	25	wood	wood	NOUN
brj-24486	17	26	surface	surface	NOUN
brj-24486	17	27	,	,	PUNCT
brj-24486	17	28	slowing	slow	VERB
brj-24486	17	29	the	the	DET
brj-24486	17	30	drying	dry	VERB
brj-24486	17	31	process	process	NOUN
brj-24486	17	32	and	and	CCONJ
brj-24486	17	33	releasing	release	VERB
brj-24486	17	34	free	free	ADJ
brj-24486	17	35	water	water	NOUN
brj-24486	17	36	from	from	ADP
brj-24486	17	37	the	the	DET
brj-24486	17	38	substrates	substrate	NOUN
brj-24486	17	39	.	.	PUNCT
brj-24486	18	1	these	these	DET
brj-24486	18	2	substrates	substrate	NOUN
brj-24486	18	3	are	be	AUX
brj-24486	18	4	still	still	ADV
brj-24486	18	5	saturated	saturate	VERB
brj-24486	18	6	with	with	ADP
brj-24486	18	7	free	free	ADJ
brj-24486	18	8	water	water	NOUN
brj-24486	18	9	.	.	PUNCT
brj-24486	19	1	it	it	PRON
brj-24486	19	2	has	have	AUX
brj-24486	19	3	been	be	AUX
brj-24486	19	4	shown	show	VERB
brj-24486	19	5	by	by	ADP
brj-24486	19	6	wiberg	wiberg	PROPN
brj-24486	19	7	and	and	CCONJ
brj-24486	19	8	moren	moren	PROPN
brj-24486	19	9	(	(	PUNCT
brj-24486	19	10	1999	1999	NUM
brj-24486	19	11	)	)	PUNCT
brj-24486	19	12	that	that	SCONJ
brj-24486	19	13	at	at	ADP
brj-24486	19	14	the	the	DET
brj-24486	19	15	beginning	beginning	NOUN
brj-24486	19	16	of	of	ADP
brj-24486	19	17	the	the	DET
brj-24486	19	18	drying	dry	VERB
brj-24486	19	19	process	process	NOUN
brj-24486	19	20	with	with	ADP
brj-24486	19	21	high	high	ADJ
brj-24486	19	22	moisture	moisture	NOUN
brj-24486	19	23	https://orcid.org/0000-0002-2502-9964	https://orcid.org/0000-0002-2502-9964	PROPN
brj-24486	19	24	https://orcid.org/0000-0001-6905-1488	https://orcid.org/0000-0001-6905-1488	PROPN
brj-24486	19	25	peer	peer	NOUN
brj-24486	19	26	-	-	PUNCT
brj-24486	19	27	reviewed	review	VERB
brj-24486	19	28	article	article	NOUN
brj-24486	19	29	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	19	30	arabi	arabi	PROPN
brj-24486	19	31	&	&	CCONJ
brj-24486	19	32	ghalehno	ghalehno	PROPN
brj-24486	19	33	(	(	PUNCT
brj-24486	19	34	2026	2026	NUM
brj-24486	19	35	)	)	PUNCT
brj-24486	19	36	.	.	PUNCT
brj-24486	20	1	“	"	PUNCT
brj-24486	20	2	wood	wood	NOUN
brj-24486	20	3	fiber	fiber	NOUN
brj-24486	20	4	drying	dry	VERB
brj-24486	20	5	,	,	PUNCT
brj-24486	20	6	”	"	PUNCT
brj-24486	20	7	bioresources	bioresource	NOUN
brj-24486	20	8	21(1	21(1	NUM
brj-24486	20	9	)	)	PUNCT
brj-24486	20	10	,	,	PUNCT
brj-24486	20	11	654	654	NUM
brj-24486	20	12	-	-	SYM
brj-24486	20	13	672	672	NUM
brj-24486	20	14	.	.	PUNCT
brj-24486	21	1	655	655	NUM
brj-24486	21	2	content	content	NOUN
brj-24486	21	3	,	,	PUNCT
brj-24486	21	4	the	the	DET
brj-24486	21	5	moisture	moisture	NOUN
brj-24486	21	6	in	in	ADP
brj-24486	21	7	the	the	DET
brj-24486	21	8	central	central	ADJ
brj-24486	21	9	part	part	NOUN
brj-24486	21	10	of	of	ADP
brj-24486	21	11	sapwood	sapwood	NOUN
brj-24486	21	12	decreases	decrease	VERB
brj-24486	21	13	very	very	ADV
brj-24486	21	14	rapidly	rapidly	ADV
brj-24486	21	15	without	without	ADP
brj-24486	21	16	any	any	DET
brj-24486	21	17	moisture	moisture	NOUN
brj-24486	21	18	gradients	gradient	NOUN
brj-24486	21	19	.	.	PUNCT
brj-24486	22	1	the	the	DET
brj-24486	22	2	diffusion	diffusion	NOUN
brj-24486	22	3	phenomenon	phenomenon	NOUN
brj-24486	22	4	can	can	AUX
brj-24486	22	5	not	not	PART
brj-24486	22	6	describe	describe	VERB
brj-24486	22	7	the	the	DET
brj-24486	22	8	moisture	moisture	NOUN
brj-24486	22	9	migration	migration	NOUN
brj-24486	22	10	process	process	NOUN
brj-24486	22	11	gradient	gradient	NOUN
brj-24486	22	12	-	-	PUNCT
brj-24486	22	13	free	free	ADJ
brj-24486	22	14	.	.	PUNCT
brj-24486	23	1	also	also	ADV
brj-24486	23	2	,	,	PUNCT
brj-24486	23	3	dynamic	dynamic	ADJ
brj-24486	23	4	changes	change	NOUN
brj-24486	23	5	in	in	ADP
brj-24486	23	6	the	the	DET
brj-24486	23	7	pore	pore	ADJ
brj-24486	23	8	size	size	NOUN
brj-24486	23	9	of	of	ADP
brj-24486	23	10	wood	wood	NOUN
brj-24486	23	11	cell	cell	NOUN
brj-24486	23	12	wall	wall	NOUN
brj-24486	23	13	occur	occur	VERB
brj-24486	23	14	during	during	ADP
brj-24486	23	15	drying	dry	VERB
brj-24486	23	16	process	process	NOUN
brj-24486	23	17	.	.	PUNCT
brj-24486	24	1	so	so	ADV
brj-24486	24	2	,	,	PUNCT
brj-24486	24	3	when	when	SCONJ
brj-24486	24	4	surface	surface	NOUN
brj-24486	24	5	moisture	moisture	NOUN
brj-24486	24	6	evaporates	evaporate	VERB
brj-24486	24	7	quickly	quickly	ADV
brj-24486	24	8	,	,	PUNCT
brj-24486	24	9	the	the	DET
brj-24486	24	10	surface	surface	NOUN
brj-24486	24	11	of	of	ADP
brj-24486	24	12	the	the	DET
brj-24486	24	13	fibers	fiber	NOUN
brj-24486	24	14	also	also	ADV
brj-24486	24	15	dries	dry	VERB
brj-24486	24	16	quickly	quickly	ADV
brj-24486	24	17	,	,	PUNCT
brj-24486	24	18	resulting	result	VERB
brj-24486	24	19	in	in	ADP
brj-24486	24	20	the	the	DET
brj-24486	24	21	highest	high	ADJ
brj-24486	24	22	wood	wood	NOUN
brj-24486	24	23	shrinkage	shrinkage	NOUN
brj-24486	24	24	.	.	PUNCT
brj-24486	25	1	moreover	moreover	ADV
brj-24486	25	2	,	,	PUNCT
brj-24486	25	3	the	the	DET
brj-24486	25	4	diameter	diameter	NOUN
brj-24486	25	5	of	of	ADP
brj-24486	25	6	pores	pore	NOUN
brj-24486	25	7	in	in	ADP
brj-24486	25	8	the	the	DET
brj-24486	25	9	wood	wood	NOUN
brj-24486	25	10	cell	cell	NOUN
brj-24486	25	11	wall	wall	NOUN
brj-24486	25	12	will	will	AUX
brj-24486	25	13	be	be	AUX
brj-24486	25	14	decreased	decrease	VERB
brj-24486	25	15	.	.	PUNCT
brj-24486	26	1	consequently	consequently	ADV
brj-24486	26	2	,	,	PUNCT
brj-24486	26	3	moisture	moisture	NOUN
brj-24486	26	4	can	can	AUX
brj-24486	26	5	not	not	PART
brj-24486	26	6	be	be	AUX
brj-24486	26	7	transferred	transfer	VERB
brj-24486	26	8	from	from	ADP
brj-24486	26	9	the	the	DET
brj-24486	26	10	lower	low	ADJ
brj-24486	26	11	layers	layer	NOUN
brj-24486	26	12	near	near	ADP
brj-24486	26	13	the	the	DET
brj-24486	26	14	surface	surface	NOUN
brj-24486	26	15	to	to	ADP
brj-24486	26	16	the	the	DET
brj-24486	26	17	fiber	fiber	NOUN
brj-24486	26	18	’s	’s	PART
brj-24486	26	19	surface	surface	NOUN
brj-24486	26	20	(	(	PUNCT
brj-24486	26	21	li	li	PROPN
brj-24486	26	22	and	and	CCONJ
brj-24486	26	23	zhao	zhao	PROPN
brj-24486	26	24	2020	2020	NUM
brj-24486	26	25	)	)	PUNCT
brj-24486	26	26	.	.	PUNCT
brj-24486	27	1	some	some	DET
brj-24486	27	2	researchers	researcher	NOUN
brj-24486	27	3	believe	believe	VERB
brj-24486	27	4	that	that	SCONJ
brj-24486	27	5	some	some	PRON
brj-24486	27	6	of	of	ADP
brj-24486	27	7	the	the	DET
brj-24486	27	8	interactions	interaction	NOUN
brj-24486	27	9	and	and	CCONJ
brj-24486	27	10	relationships	relationship	NOUN
brj-24486	27	11	between	between	ADP
brj-24486	27	12	water	water	NOUN
brj-24486	27	13	and	and	CCONJ
brj-24486	27	14	wood	wood	NOUN
brj-24486	27	15	during	during	ADP
brj-24486	27	16	the	the	DET
brj-24486	27	17	drying	dry	VERB
brj-24486	27	18	process	process	NOUN
brj-24486	27	19	at	at	ADP
brj-24486	27	20	the	the	DET
brj-24486	27	21	microstructural	microstructural	ADJ
brj-24486	27	22	scale	scale	NOUN
brj-24486	27	23	are	be	AUX
brj-24486	27	24	still	still	ADV
brj-24486	27	25	unknown	unknown	ADJ
brj-24486	27	26	(	(	PUNCT
brj-24486	27	27	penttila	penttila	NOUN
brj-24486	27	28	et	et	PROPN
brj-24486	27	29	al	al	PROPN
brj-24486	27	30	.	.	PROPN
brj-24486	27	31	2021	2021	NUM
brj-24486	27	32	;	;	PUNCT
brj-24486	27	33	zitting	zitte	VERB
brj-24486	27	34	et	et	PROPN
brj-24486	27	35	al	al	PROPN
brj-24486	27	36	.	.	PROPN
brj-24486	27	37	2021	2021	NUM
brj-24486	27	38	)	)	PUNCT
brj-24486	27	39	.	.	PUNCT
brj-24486	28	1	as	as	ADP
brj-24486	28	2	a	a	DET
brj-24486	28	3	result	result	NOUN
brj-24486	28	4	,	,	PUNCT
brj-24486	28	5	mathematical	mathematical	ADJ
brj-24486	28	6	modeling	modeling	NOUN
brj-24486	28	7	of	of	ADP
brj-24486	28	8	the	the	DET
brj-24486	28	9	drying	dry	VERB
brj-24486	28	10	process	process	NOUN
brj-24486	28	11	of	of	ADP
brj-24486	28	12	wood	wood	NOUN
brj-24486	28	13	and	and	CCONJ
brj-24486	28	14	cellulose	cellulose	NOUN
brj-24486	28	15	fiber	fiber	NOUN
brj-24486	28	16	seems	seem	VERB
brj-24486	28	17	to	to	PART
brj-24486	28	18	be	be	AUX
brj-24486	28	19	complex	complex	ADJ
brj-24486	28	20	(	(	PUNCT
brj-24486	28	21	sander	sander	X
brj-24486	28	22	et	et	PROPN
brj-24486	28	23	al	al	PROPN
brj-24486	28	24	.	.	PROPN
brj-24486	28	25	2010	2010	NUM
brj-24486	28	26	)	)	PUNCT
brj-24486	28	27	.	.	PUNCT
brj-24486	29	1	due	due	ADP
brj-24486	29	2	to	to	PART
brj-24486	29	3	shrinkage	shrinkage	VERB
brj-24486	29	4	and	and	CCONJ
brj-24486	29	5	deformation	deformation	NOUN
brj-24486	29	6	in	in	ADP
brj-24486	29	7	the	the	DET
brj-24486	29	8	cell	cell	NOUN
brj-24486	29	9	walls	wall	NOUN
brj-24486	29	10	of	of	ADP
brj-24486	29	11	wood	wood	NOUN
brj-24486	29	12	fibers	fiber	NOUN
brj-24486	29	13	during	during	ADP
brj-24486	29	14	the	the	DET
brj-24486	29	15	drying	dry	VERB
brj-24486	29	16	process	process	NOUN
brj-24486	29	17	,	,	PUNCT
brj-24486	29	18	the	the	DET
brj-24486	29	19	accuracy	accuracy	NOUN
brj-24486	29	20	of	of	ADP
brj-24486	29	21	the	the	DET
brj-24486	29	22	presented	present	VERB
brj-24486	29	23	mathematical	mathematical	ADJ
brj-24486	29	24	models	model	NOUN
brj-24486	29	25	is	be	AUX
brj-24486	29	26	questioned	question	VERB
brj-24486	29	27	.	.	PUNCT
brj-24486	30	1	the	the	DET
brj-24486	30	2	drying	dry	VERB
brj-24486	30	3	process	process	NOUN
brj-24486	30	4	of	of	ADP
brj-24486	30	5	lignocellulosic	lignocellulosic	ADJ
brj-24486	30	6	materials	material	NOUN
brj-24486	30	7	,	,	PUNCT
brj-24486	30	8	agricultural	agricultural	ADJ
brj-24486	30	9	products	product	NOUN
brj-24486	30	10	,	,	PUNCT
brj-24486	30	11	and	and	CCONJ
brj-24486	30	12	food	food	NOUN
brj-24486	30	13	has	have	AUX
brj-24486	30	14	been	be	AUX
brj-24486	30	15	modeled	model	VERB
brj-24486	30	16	using	use	VERB
brj-24486	30	17	various	various	ADJ
brj-24486	30	18	semi	semi	ADJ
brj-24486	30	19	-	-	ADJ
brj-24486	30	20	empirical	empirical	ADJ
brj-24486	30	21	and	and	CCONJ
brj-24486	30	22	experimental	experimental	ADJ
brj-24486	30	23	models	model	NOUN
brj-24486	30	24	(	(	PUNCT
brj-24486	30	25	verma	verma	PROPN
brj-24486	30	26	et	et	PROPN
brj-24486	30	27	al	al	PROPN
brj-24486	30	28	.	.	PROPN
brj-24486	30	29	1985	1985	NUM
brj-24486	30	30	;	;	PUNCT
brj-24486	30	31	babalis	babalis	PROPN
brj-24486	30	32	et	et	PROPN
brj-24486	30	33	al	al	PROPN
brj-24486	30	34	.	.	PROPN
brj-24486	30	35	2006	2006	NUM
brj-24486	30	36	;	;	PUNCT
brj-24486	30	37	demir	demir	PROPN
brj-24486	30	38	et	et	PROPN
brj-24486	30	39	al	al	PROPN
brj-24486	30	40	.	.	PROPN
brj-24486	30	41	2007	2007	NUM
brj-24486	30	42	;	;	PUNCT
brj-24486	30	43	doymaz	doymaz	NOUN
brj-24486	30	44	2007	2007	NUM
brj-24486	30	45	;	;	PUNCT
brj-24486	30	46	gan	gan	PROPN
brj-24486	30	47	and	and	CCONJ
brj-24486	30	48	pe	pe	NOUN
brj-24486	30	49	2014	2014	NUM
brj-24486	30	50	)	)	PUNCT
brj-24486	30	51	.	.	PUNCT
brj-24486	31	1	these	these	DET
brj-24486	31	2	models	model	NOUN
brj-24486	31	3	are	be	AUX
brj-24486	31	4	typically	typically	ADV
brj-24486	31	5	not	not	PART
brj-24486	31	6	mechanistically	mechanistically	ADV
brj-24486	31	7	derived	derive	VERB
brj-24486	31	8	mathematical	mathematical	ADJ
brj-24486	31	9	models	model	NOUN
brj-24486	31	10	;	;	PUNCT
brj-24486	31	11	instead	instead	ADV
brj-24486	31	12	,	,	PUNCT
brj-24486	31	13	they	they	PRON
brj-24486	31	14	are	be	AUX
brj-24486	31	15	formulated	formulate	VERB
brj-24486	31	16	using	use	VERB
brj-24486	31	17	simplified	simplified	ADJ
brj-24486	31	18	analytical	analytical	ADJ
brj-24486	31	19	expressions	expression	NOUN
brj-24486	31	20	that	that	PRON
brj-24486	31	21	are	be	AUX
brj-24486	31	22	fitted	fit	VERB
brj-24486	31	23	to	to	ADP
brj-24486	31	24	experimental	experimental	ADJ
brj-24486	31	25	data	datum	NOUN
brj-24486	31	26	.	.	PUNCT
brj-24486	32	1	fick	fick	PROPN
brj-24486	32	2	’s	’s	PART
brj-24486	32	3	second	second	ADJ
brj-24486	32	4	law	law	NOUN
brj-24486	32	5	and	and	CCONJ
brj-24486	32	6	its	its	PRON
brj-24486	32	7	variants	variant	NOUN
brj-24486	32	8	,	,	PUNCT
brj-24486	32	9	as	as	ADV
brj-24486	32	10	well	well	ADV
brj-24486	32	11	as	as	ADP
brj-24486	32	12	newton	newton	PROPN
brj-24486	32	13	’s	’s	PART
brj-24486	32	14	law	law	NOUN
brj-24486	32	15	of	of	ADP
brj-24486	32	16	cooling	cooling	NOUN
brj-24486	32	17	,	,	PUNCT
brj-24486	32	18	are	be	AUX
brj-24486	32	19	often	often	ADV
brj-24486	32	20	used	use	VERB
brj-24486	32	21	as	as	ADP
brj-24486	32	22	a	a	DET
brj-24486	32	23	basis	basis	NOUN
brj-24486	32	24	for	for	ADP
brj-24486	32	25	constructing	construct	VERB
brj-24486	32	26	such	such	ADJ
brj-24486	32	27	semi	semi	ADJ
brj-24486	32	28	-	-	ADJ
brj-24486	32	29	empirical	empirical	ADJ
brj-24486	32	30	relations	relation	NOUN
brj-24486	32	31	.	.	PUNCT
brj-24486	33	1	because	because	SCONJ
brj-24486	33	2	these	these	DET
brj-24486	33	3	models	model	NOUN
brj-24486	33	4	are	be	AUX
brj-24486	33	5	developed	develop	VERB
brj-24486	33	6	directly	directly	ADV
brj-24486	33	7	from	from	ADP
brj-24486	33	8	laboratory	laboratory	NOUN
brj-24486	33	9	observations	observation	NOUN
brj-24486	33	10	,	,	PUNCT
brj-24486	33	11	they	they	PRON
brj-24486	33	12	are	be	AUX
brj-24486	33	13	generally	generally	ADV
brj-24486	33	14	less	less	ADV
brj-24486	33	15	complex	complex	ADJ
brj-24486	33	16	and	and	CCONJ
brj-24486	33	17	more	more	ADV
brj-24486	33	18	accessible	accessible	ADJ
brj-24486	33	19	than	than	ADP
brj-24486	33	20	fully	fully	ADV
brj-24486	33	21	mechanistic	mechanistic	ADJ
brj-24486	33	22	mathematical	mathematical	ADJ
brj-24486	33	23	models	model	NOUN
brj-24486	33	24	(	(	PUNCT
brj-24486	33	25	wang	wang	PROPN
brj-24486	33	26	and	and	CCONJ
brj-24486	33	27	singh	singh	PROPN
brj-24486	33	28	1978	1978	NUM
brj-24486	33	29	;	;	PUNCT
brj-24486	33	30	hii	hii	PROPN
brj-24486	33	31	et	et	PROPN
brj-24486	33	32	al	al	PROPN
brj-24486	33	33	.	.	PROPN
brj-24486	33	34	2009	2009	NUM
brj-24486	33	35	;	;	PUNCT
brj-24486	33	36	kumar	kumar	PROPN
brj-24486	33	37	et	et	PROPN
brj-24486	33	38	al	al	PROPN
brj-24486	33	39	.	.	PROPN
brj-24486	33	40	2012	2012	NUM
brj-24486	33	41	)	)	PUNCT
brj-24486	33	42	.	.	PUNCT
brj-24486	34	1	also	also	ADV
brj-24486	34	2	,	,	PUNCT
brj-24486	34	3	these	these	DET
brj-24486	34	4	empirical	empirical	ADJ
brj-24486	34	5	models	model	NOUN
brj-24486	34	6	have	have	AUX
brj-24486	34	7	shown	show	VERB
brj-24486	34	8	a	a	DET
brj-24486	34	9	strong	strong	ADJ
brj-24486	34	10	capacity	capacity	NOUN
brj-24486	34	11	to	to	PART
brj-24486	34	12	estimate	estimate	VERB
brj-24486	34	13	and	and	CCONJ
brj-24486	34	14	forecast	forecast	VERB
brj-24486	34	15	the	the	DET
brj-24486	34	16	drying	dry	VERB
brj-24486	34	17	kinetics	kinetic	NOUN
brj-24486	34	18	of	of	ADP
brj-24486	34	19	various	various	ADJ
brj-24486	34	20	materials	material	NOUN
brj-24486	34	21	(	(	PUNCT
brj-24486	34	22	ertekin	ertekin	X
brj-24486	34	23	and	and	CCONJ
brj-24486	34	24	firat	firat	PROPN
brj-24486	34	25	2017	2017	NUM
brj-24486	34	26	;	;	PUNCT
brj-24486	34	27	midili	midili	PROPN
brj-24486	34	28	et	et	PROPN
brj-24486	34	29	al	al	PROPN
brj-24486	34	30	.	.	PROPN
brj-24486	34	31	2002	2002	NUM
brj-24486	34	32	)	)	PUNCT
brj-24486	34	33	.	.	PUNCT
brj-24486	35	1	modeling	model	VERB
brj-24486	35	2	the	the	DET
brj-24486	35	3	thin	thin	ADJ
brj-24486	35	4	-	-	PUNCT
brj-24486	35	5	layer	layer	NOUN
brj-24486	35	6	drying	drying	NOUN
brj-24486	35	7	of	of	ADP
brj-24486	35	8	materials	material	NOUN
brj-24486	35	9	is	be	AUX
brj-24486	35	10	mainly	mainly	ADV
brj-24486	35	11	based	base	VERB
brj-24486	35	12	on	on	ADP
brj-24486	35	13	describing	describe	VERB
brj-24486	35	14	the	the	DET
brj-24486	35	15	moisture	moisture	NOUN
brj-24486	35	16	ratio	ratio	NOUN
brj-24486	35	17	(	(	PUNCT
brj-24486	35	18	mr	mr	PROPN
brj-24486	35	19	)	)	PUNCT
brj-24486	35	20	versus	versus	ADP
brj-24486	35	21	time	time	NOUN
brj-24486	35	22	(	(	PUNCT
brj-24486	35	23	t	t	NOUN
brj-24486	35	24	)	)	PUNCT
brj-24486	35	25	data	datum	NOUN
brj-24486	35	26	by	by	ADP
brj-24486	35	27	using	use	VERB
brj-24486	35	28	suitable	suitable	ADJ
brj-24486	35	29	mathematical	mathematical	ADJ
brj-24486	35	30	model	model	NOUN
brj-24486	35	31	or	or	CCONJ
brj-24486	35	32	models	model	NOUN
brj-24486	35	33	(	(	PUNCT
brj-24486	35	34	ademiluyi	ademiluyi	VERB
brj-24486	35	35	et	et	PROPN
brj-24486	35	36	al	al	PROPN
brj-24486	35	37	.	.	PROPN
brj-24486	35	38	2008	2008	NUM
brj-24486	35	39	;	;	PUNCT
brj-24486	35	40	kaleta	kaleta	PROPN
brj-24486	35	41	et	et	PROPN
brj-24486	35	42	al	al	PROPN
brj-24486	35	43	.	.	PROPN
brj-24486	35	44	2013	2013	NUM
brj-24486	35	45	)	)	PUNCT
brj-24486	35	46	.	.	PUNCT
brj-24486	36	1	thin	thin	ADJ
brj-24486	36	2	-	-	PUNCT
brj-24486	36	3	layer	layer	NOUN
brj-24486	36	4	drying	dry	VERB
brj-24486	36	5	means	mean	VERB
brj-24486	36	6	to	to	PART
brj-24486	36	7	dry	dry	VERB
brj-24486	36	8	as	as	ADP
brj-24486	36	9	one	one	NUM
brj-24486	36	10	layer	layer	NOUN
brj-24486	36	11	of	of	ADP
brj-24486	36	12	sample	sample	NOUN
brj-24486	36	13	particles	particle	NOUN
brj-24486	36	14	or	or	CCONJ
brj-24486	36	15	slices	slice	NOUN
brj-24486	36	16	.	.	PUNCT
brj-24486	37	1	it	it	PRON
brj-24486	37	2	is	be	AUX
brj-24486	37	3	assumed	assume	VERB
brj-24486	37	4	that	that	SCONJ
brj-24486	37	5	there	there	PRON
brj-24486	37	6	is	be	VERB
brj-24486	37	7	the	the	DET
brj-24486	37	8	same	same	ADJ
brj-24486	37	9	air	air	NOUN
brj-24486	37	10	velocity	velocity	NOUN
brj-24486	37	11	and	and	CCONJ
brj-24486	37	12	temperature	temperature	NOUN
brj-24486	37	13	throughout	throughout	ADP
brj-24486	37	14	this	this	DET
brj-24486	37	15	thin	thin	ADJ
brj-24486	37	16	layer	layer	NOUN
brj-24486	37	17	(	(	PUNCT
brj-24486	37	18	vega	vega	PROPN
brj-24486	37	19	et	et	PROPN
brj-24486	37	20	al	al	PROPN
brj-24486	37	21	.	.	PROPN
brj-24486	37	22	2007	2007	NUM
brj-24486	37	23	;	;	PUNCT
brj-24486	37	24	lee	lee	PROPN
brj-24486	37	25	and	and	CCONJ
brj-24486	37	26	kim	kim	PROPN
brj-24486	37	27	2009	2009	NUM
brj-24486	37	28	;	;	PUNCT
brj-24486	37	29	kaur	kaur	PROPN
brj-24486	37	30	and	and	CCONJ
brj-24486	37	31	singh	singh	PROPN
brj-24486	37	32	2014	2014	NUM
brj-24486	37	33	)	)	PUNCT
brj-24486	37	34	.	.	PUNCT
brj-24486	38	1	the	the	DET
brj-24486	38	2	drying	dry	VERB
brj-24486	38	3	kinetics	kinetic	NOUN
brj-24486	38	4	of	of	ADP
brj-24486	38	5	bacterial	bacterial	ADJ
brj-24486	38	6	cellulose	cellulose	NOUN
brj-24486	38	7	(	(	PUNCT
brj-24486	38	8	jatmiko	jatmiko	NOUN
brj-24486	38	9	et	et	PROPN
brj-24486	38	10	al	al	PROPN
brj-24486	38	11	.	.	PROPN
brj-24486	38	12	2017	2017	NUM
brj-24486	38	13	)	)	PUNCT
brj-24486	38	14	,	,	PUNCT
brj-24486	38	15	cotton	cotton	NOUN
brj-24486	38	16	fibers	fiber	NOUN
brj-24486	38	17	(	(	PUNCT
brj-24486	38	18	ghazanfari	ghazanfari	PROPN
brj-24486	38	19	et	et	PROPN
brj-24486	38	20	al	al	PROPN
brj-24486	38	21	.	.	PROPN
brj-24486	38	22	2006	2006	NUM
brj-24486	38	23	)	)	PUNCT
brj-24486	38	24	,	,	PUNCT
brj-24486	38	25	and	and	CCONJ
brj-24486	38	26	unbleached	unbleached	ADJ
brj-24486	38	27	kraft	kraft	NOUN
brj-24486	38	28	pulp	pulp	NOUN
brj-24486	38	29	sheets	sheet	NOUN
brj-24486	38	30	(	(	PUNCT
brj-24486	38	31	kong	kong	PROPN
brj-24486	38	32	et	et	PROPN
brj-24486	38	33	al	al	PROPN
brj-24486	38	34	.	.	PROPN
brj-24486	38	35	2022	2022	NUM
brj-24486	38	36	)	)	PUNCT
brj-24486	38	37	have	have	AUX
brj-24486	38	38	all	all	PRON
brj-24486	38	39	been	be	AUX
brj-24486	38	40	investigated	investigate	VERB
brj-24486	38	41	using	use	VERB
brj-24486	38	42	thin	thin	ADJ
brj-24486	38	43	-	-	PUNCT
brj-24486	38	44	layer	layer	NOUN
brj-24486	38	45	drying	dry	VERB
brj-24486	38	46	models	model	NOUN
brj-24486	38	47	,	,	PUNCT
brj-24486	38	48	with	with	ADP
brj-24486	38	49	promising	promising	ADJ
brj-24486	38	50	findings	finding	NOUN
brj-24486	38	51	.	.	PUNCT
brj-24486	39	1	the	the	DET
brj-24486	39	2	use	use	NOUN
brj-24486	39	3	of	of	ADP
brj-24486	39	4	artificial	artificial	ADJ
brj-24486	39	5	neural	neural	ADJ
brj-24486	39	6	networks	network	NOUN
brj-24486	39	7	(	(	PUNCT
brj-24486	39	8	anns	anns	PROPN
brj-24486	39	9	)	)	PUNCT
brj-24486	39	10	is	be	AUX
brj-24486	39	11	one	one	NUM
brj-24486	39	12	of	of	ADP
brj-24486	39	13	the	the	DET
brj-24486	39	14	newest	new	ADJ
brj-24486	39	15	techniques	technique	NOUN
brj-24486	39	16	for	for	ADP
brj-24486	39	17	modeling	modeling	NOUN
brj-24486	39	18	and	and	CCONJ
brj-24486	39	19	forecasting	forecasting	NOUN
brj-24486	39	20	complex	complex	ADJ
brj-24486	39	21	dynamic	dynamic	ADJ
brj-24486	39	22	systems	system	NOUN
brj-24486	39	23	such	such	ADJ
brj-24486	39	24	as	as	ADP
brj-24486	39	25	the	the	DET
brj-24486	39	26	wood	wood	NOUN
brj-24486	39	27	drying	dry	VERB
brj-24486	39	28	process	process	NOUN
brj-24486	39	29	.	.	PUNCT
brj-24486	40	1	some	some	DET
brj-24486	40	2	researchers	researcher	NOUN
brj-24486	40	3	have	have	AUX
brj-24486	40	4	utilized	utilize	VERB
brj-24486	40	5	the	the	DET
brj-24486	40	6	anns	anns	NOUN
brj-24486	40	7	to	to	PART
brj-24486	40	8	simulate	simulate	VERB
brj-24486	40	9	the	the	DET
brj-24486	40	10	drying	dry	VERB
brj-24486	40	11	process	process	NOUN
brj-24486	40	12	of	of	ADP
brj-24486	40	13	wood	wood	NOUN
brj-24486	40	14	and	and	CCONJ
brj-24486	40	15	agricultural	agricultural	ADJ
brj-24486	40	16	products	product	NOUN
brj-24486	40	17	(	(	PUNCT
brj-24486	40	18	chai	chai	NOUN
brj-24486	40	19	et	et	PROPN
brj-24486	40	20	al	al	PROPN
brj-24486	40	21	.	.	PROPN
brj-24486	40	22	2018	2018	NUM
brj-24486	40	23	;	;	PUNCT
brj-24486	40	24	dash	dash	NOUN
brj-24486	40	25	et	et	NOUN
brj-24486	40	26	al	al	PROPN
brj-24486	40	27	.	.	PROPN
brj-24486	40	28	2020	2020	NUM
brj-24486	40	29	;	;	PUNCT
brj-24486	40	30	saxena	saxena	PROPN
brj-24486	40	31	et	et	PROPN
brj-24486	40	32	al	al	PROPN
brj-24486	40	33	.	.	PROPN
brj-24486	40	34	2022	2022	NUM
brj-24486	40	35	)	)	PUNCT
brj-24486	40	36	.	.	PUNCT
brj-24486	41	1	the	the	DET
brj-24486	41	2	neural	neural	ADJ
brj-24486	41	3	network	network	NOUN
brj-24486	41	4	models	model	NOUN
brj-24486	41	5	have	have	AUX
brj-24486	41	6	been	be	AUX
brj-24486	41	7	utilized	utilize	VERB
brj-24486	41	8	to	to	PART
brj-24486	41	9	simulate	simulate	VERB
brj-24486	41	10	agricultural	agricultural	ADJ
brj-24486	41	11	product	product	NOUN
brj-24486	41	12	drying	dry	VERB
brj-24486	41	13	kinetics	kinetic	NOUN
brj-24486	41	14	as	as	ADV
brj-24486	41	15	well	well	ADV
brj-24486	41	16	as	as	ADP
brj-24486	41	17	the	the	DET
brj-24486	41	18	wood	wood	NOUN
brj-24486	41	19	drying	dry	VERB
brj-24486	41	20	process	process	NOUN
brj-24486	41	21	.	.	PUNCT
brj-24486	42	1	previous	previous	ADJ
brj-24486	42	2	research	research	NOUN
brj-24486	42	3	has	have	AUX
brj-24486	42	4	shown	show	VERB
brj-24486	42	5	that	that	SCONJ
brj-24486	42	6	the	the	DET
brj-24486	42	7	ann	ann	PROPN
brj-24486	42	8	model	model	NOUN
brj-24486	42	9	is	be	AUX
brj-24486	42	10	more	more	ADV
brj-24486	42	11	advantageous	advantageous	ADJ
brj-24486	42	12	,	,	PUNCT
brj-24486	42	13	since	since	SCONJ
brj-24486	42	14	it	it	PRON
brj-24486	42	15	can	can	AUX
brj-24486	42	16	precisely	precisely	ADV
brj-24486	42	17	predict	predict	VERB
brj-24486	42	18	the	the	DET
brj-24486	42	19	drying	dry	VERB
brj-24486	42	20	kinetics	kinetic	NOUN
brj-24486	42	21	and	and	CCONJ
brj-24486	42	22	be	be	AUX
brj-24486	42	23	easily	easily	ADV
brj-24486	42	24	applicable	applicable	ADJ
brj-24486	42	25	to	to	ADP
brj-24486	42	26	non	non	ADJ
brj-24486	42	27	-	-	ADJ
brj-24486	42	28	linear	linear	ADJ
brj-24486	42	29	processes	process	NOUN
brj-24486	42	30	(	(	PUNCT
brj-24486	42	31	saxena	saxena	PROPN
brj-24486	42	32	et	et	PROPN
brj-24486	42	33	al	al	PROPN
brj-24486	42	34	.	.	PROPN
brj-24486	42	35	2022	2022	NUM
brj-24486	42	36	)	)	PUNCT
brj-24486	42	37	.	.	PUNCT
brj-24486	43	1	former	former	ADJ
brj-24486	43	2	studies	study	NOUN
brj-24486	43	3	have	have	AUX
brj-24486	43	4	employed	employ	VERB
brj-24486	43	5	conventional	conventional	ADJ
brj-24486	43	6	and	and	CCONJ
brj-24486	43	7	convective	convective	ADJ
brj-24486	43	8	dryers	dryer	NOUN
brj-24486	43	9	to	to	PART
brj-24486	43	10	determine	determine	VERB
brj-24486	43	11	the	the	DET
brj-24486	43	12	drying	dry	VERB
brj-24486	43	13	kinetics	kinetic	NOUN
brj-24486	43	14	of	of	ADP
brj-24486	43	15	wood	wood	NOUN
brj-24486	43	16	particles	particle	NOUN
brj-24486	43	17	and	and	CCONJ
brj-24486	43	18	cellulose	cellulose	NOUN
brj-24486	43	19	fibers	fiber	NOUN
brj-24486	43	20	(	(	PUNCT
brj-24486	43	21	zarea	zarea	PROPN
brj-24486	43	22	hosseinabadi	hosseinabadi	NOUN
brj-24486	43	23	et	et	PROPN
brj-24486	43	24	al	al	PROPN
brj-24486	43	25	.	.	PROPN
brj-24486	43	26	2012	2012	NUM
brj-24486	43	27	;	;	PUNCT
brj-24486	43	28	górnicki	górnicki	PROPN
brj-24486	43	29	et	et	PROPN
brj-24486	43	30	al	al	PROPN
brj-24486	43	31	.	.	PROPN
brj-24486	43	32	2016	2016	NUM
brj-24486	43	33	;	;	PUNCT
brj-24486	43	34	arabi	arabi	PROPN
brj-24486	43	35	et	et	PROPN
brj-24486	43	36	al	al	PROPN
brj-24486	43	37	.	.	PROPN
brj-24486	43	38	2017	2017	NUM
brj-24486	43	39	;	;	PUNCT
brj-24486	43	40	brys	bry	NOUN
brj-24486	43	41	et	et	PROPN
brj-24486	43	42	al	al	PROPN
brj-24486	43	43	.	.	PROPN
brj-24486	43	44	2021	2021	NUM
brj-24486	43	45	;	;	PUNCT
brj-24486	43	46	kong	kong	PROPN
brj-24486	43	47	et	et	PROPN
brj-24486	43	48	al	al	PROPN
brj-24486	43	49	.	.	PROPN
brj-24486	43	50	2022	2022	NUM
brj-24486	43	51	)	)	PUNCT
brj-24486	43	52	.	.	PUNCT
brj-24486	44	1	these	these	DET
brj-24486	44	2	drying	dry	VERB
brj-24486	44	3	methods	method	NOUN
brj-24486	44	4	have	have	VERB
brj-24486	44	5	several	several	ADJ
brj-24486	44	6	drawbacks	drawback	NOUN
brj-24486	44	7	,	,	PUNCT
brj-24486	44	8	including	include	VERB
brj-24486	44	9	low	low	ADJ
brj-24486	44	10	energy	energy	NOUN
brj-24486	44	11	efficiency	efficiency	NOUN
brj-24486	44	12	and	and	CCONJ
brj-24486	44	13	lengthy	lengthy	ADJ
brj-24486	44	14	drying	drying	NOUN
brj-24486	44	15	time	time	NOUN
brj-24486	44	16	,	,	PUNCT
brj-24486	44	17	especially	especially	ADV
brj-24486	44	18	in	in	ADP
brj-24486	44	19	falling	fall	VERB
brj-24486	44	20	drying	dry	VERB
brj-24486	44	21	rate	rate	NOUN
brj-24486	44	22	periods	period	NOUN
brj-24486	44	23	(	(	PUNCT
brj-24486	44	24	wang	wang	PROPN
brj-24486	44	25	et	et	PROPN
brj-24486	44	26	al	al	PROPN
brj-24486	44	27	.	.	PROPN
brj-24486	44	28	2007	2007	NUM
brj-24486	44	29	)	)	PUNCT
brj-24486	44	30	.	.	PUNCT
brj-24486	45	1	radiant	radiant	ADJ
brj-24486	45	2	dryers	dryer	NOUN
brj-24486	45	3	,	,	PUNCT
brj-24486	45	4	such	such	ADJ
brj-24486	45	5	as	as	ADP
brj-24486	45	6	halogens	halogen	NOUN
brj-24486	45	7	lamps	lamp	NOUN
brj-24486	45	8	,	,	PUNCT
brj-24486	45	9	deliver	deliver	VERB
brj-24486	45	10	heat	heat	NOUN
brj-24486	45	11	to	to	ADP
brj-24486	45	12	the	the	DET
brj-24486	45	13	material	material	NOUN
brj-24486	45	14	more	more	ADV
brj-24486	45	15	quickly	quickly	ADV
brj-24486	45	16	than	than	ADP
brj-24486	45	17	convective	convective	ADJ
brj-24486	45	18	or	or	CCONJ
brj-24486	45	19	conductive	conductive	ADJ
brj-24486	45	20	dryers	dryer	NOUN
brj-24486	45	21	.	.	PUNCT
brj-24486	46	1	as	as	ADP
brj-24486	46	2	a	a	DET
brj-24486	46	3	result	result	NOUN
brj-24486	46	4	,	,	PUNCT
brj-24486	46	5	the	the	DET
brj-24486	46	6	drying	dry	VERB
brj-24486	46	7	time	time	NOUN
brj-24486	46	8	decreases	decrease	VERB
brj-24486	46	9	.	.	PUNCT
brj-24486	47	1	the	the	DET
brj-24486	47	2	halogen	halogen	PROPN
brj-24486	47	3	hygrometer	hygrometer	NOUN
brj-24486	47	4	is	be	AUX
brj-24486	47	5	one	one	NUM
brj-24486	47	6	of	of	ADP
brj-24486	47	7	the	the	DET
brj-24486	47	8	latest	late	ADJ
brj-24486	47	9	quick	quick	ADJ
brj-24486	47	10	and	and	CCONJ
brj-24486	47	11	precise	precise	ADJ
brj-24486	47	12	methods	method	NOUN
brj-24486	47	13	for	for	ADP
brj-24486	47	14	detecting	detect	VERB
brj-24486	47	15	the	the	DET
brj-24486	47	16	moisture	moisture	NOUN
brj-24486	47	17	content	content	NOUN
brj-24486	47	18	peer	peer	NOUN
brj-24486	47	19	-	-	PUNCT
brj-24486	47	20	reviewed	review	VERB
brj-24486	47	21	article	article	NOUN
brj-24486	47	22	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	47	23	arabi	arabi	PROPN
brj-24486	47	24	&	&	CCONJ
brj-24486	47	25	ghalehno	ghalehno	PROPN
brj-24486	47	26	(	(	PUNCT
brj-24486	47	27	2026	2026	NUM
brj-24486	47	28	)	)	PUNCT
brj-24486	47	29	.	.	PUNCT
brj-24486	48	1	“	"	PUNCT
brj-24486	48	2	wood	wood	NOUN
brj-24486	48	3	fiber	fiber	NOUN
brj-24486	48	4	drying	dry	VERB
brj-24486	48	5	,	,	PUNCT
brj-24486	48	6	”	"	PUNCT
brj-24486	48	7	bioresources	bioresource	NOUN
brj-24486	48	8	21(1	21(1	NUM
brj-24486	48	9	)	)	PUNCT
brj-24486	48	10	,	,	PUNCT
brj-24486	48	11	654	654	NUM
brj-24486	48	12	-	-	SYM
brj-24486	48	13	672	672	NUM
brj-24486	48	14	.	.	PUNCT
brj-24486	48	15	656	656	NUM
brj-24486	48	16	of	of	ADP
brj-24486	48	17	various	various	ADJ
brj-24486	48	18	materials	material	NOUN
brj-24486	48	19	.	.	PUNCT
brj-24486	49	1	halogen	halogen	PROPN
brj-24486	49	2	hygrometers	hygrometer	NOUN
brj-24486	49	3	are	be	AUX
brj-24486	49	4	now	now	ADV
brj-24486	49	5	acknowledged	acknowledge	VERB
brj-24486	49	6	as	as	ADP
brj-24486	49	7	a	a	DET
brj-24486	49	8	scientific	scientific	ADJ
brj-24486	49	9	,	,	PUNCT
brj-24486	49	10	accurate	accurate	ADJ
brj-24486	49	11	approach	approach	NOUN
brj-24486	49	12	and	and	CCONJ
brj-24486	49	13	astm	astm	NOUN
brj-24486	49	14	-	-	PUNCT
brj-24486	49	15	accepted	accept	VERB
brj-24486	49	16	method	method	NOUN
brj-24486	49	17	in	in	ADP
brj-24486	49	18	the	the	DET
brj-24486	49	19	industry	industry	NOUN
brj-24486	49	20	(	(	PUNCT
brj-24486	49	21	astm	astm	PROPN
brj-24486	49	22	d6980	d6980	PROPN
brj-24486	49	23	-	-	PUNCT
brj-24486	49	24	12	12	NUM
brj-24486	49	25	)	)	PUNCT
brj-24486	49	26	.	.	PUNCT
brj-24486	50	1	this	this	PRON
brj-24486	50	2	is	be	AUX
brj-24486	50	3	the	the	DET
brj-24486	50	4	first	first	ADJ
brj-24486	50	5	study	study	NOUN
brj-24486	50	6	to	to	PART
brj-24486	50	7	use	use	VERB
brj-24486	50	8	a	a	DET
brj-24486	50	9	halogen	halogen	NOUN
brj-24486	50	10	hygrometer	hygrometer	NOUN
brj-24486	50	11	to	to	PART
brj-24486	50	12	describe	describe	VERB
brj-24486	50	13	the	the	DET
brj-24486	50	14	drying	dry	VERB
brj-24486	50	15	kinetics	kinetic	NOUN
brj-24486	50	16	of	of	ADP
brj-24486	50	17	wood	wood	NOUN
brj-24486	50	18	fiber	fiber	NOUN
brj-24486	50	19	analysis	analysis	NOUN
brj-24486	50	20	.	.	PUNCT
brj-24486	51	1	there	there	PRON
brj-24486	51	2	are	be	VERB
brj-24486	51	3	now	now	ADV
brj-24486	51	4	more	more	ADJ
brj-24486	51	5	than	than	ADP
brj-24486	51	6	more	more	ADJ
brj-24486	51	7	than	than	ADP
brj-24486	51	8	100	100	NUM
brj-24486	51	9	different	different	ADJ
brj-24486	51	10	semi	semi	ADJ
brj-24486	51	11	-	-	ADJ
brj-24486	51	12	theoretical	theoretical	ADJ
brj-24486	51	13	and	and	CCONJ
brj-24486	51	14	empirical	empirical	ADJ
brj-24486	51	15	thin	thin	ADJ
brj-24486	51	16	-	-	PUNCT
brj-24486	51	17	layer	layer	NOUN
brj-24486	51	18	drying	dry	VERB
brj-24486	51	19	models	model	NOUN
brj-24486	51	20	that	that	PRON
brj-24486	51	21	have	have	AUX
brj-24486	51	22	been	be	AUX
brj-24486	51	23	used	use	VERB
brj-24486	51	24	in	in	ADP
brj-24486	51	25	predicting	predict	VERB
brj-24486	51	26	moisture	moisture	NOUN
brj-24486	51	27	content	content	NOUN
brj-24486	51	28	of	of	ADP
brj-24486	51	29	agricultural	agricultural	ADJ
brj-24486	51	30	products	product	NOUN
brj-24486	51	31	(	(	PUNCT
brj-24486	51	32	ertekin	ertekin	X
brj-24486	51	33	and	and	CCONJ
brj-24486	51	34	firat	firat	PROPN
brj-24486	51	35	2017	2017	NUM
brj-24486	51	36	)	)	PUNCT
brj-24486	51	37	.	.	PUNCT
brj-24486	52	1	each	each	PRON
brj-24486	52	2	of	of	ADP
brj-24486	52	3	the	the	DET
brj-24486	52	4	models	model	NOUN
brj-24486	52	5	is	be	AUX
brj-24486	52	6	composed	compose	VERB
brj-24486	52	7	of	of	ADP
brj-24486	52	8	dimensionless	dimensionless	NOUN
brj-24486	52	9	constants	constant	NOUN
brj-24486	52	10	(	(	PUNCT
brj-24486	52	11	a	a	PRON
brj-24486	52	12	,	,	PUNCT
brj-24486	52	13	b	b	NOUN
brj-24486	52	14	,	,	PUNCT
brj-24486	52	15	c	c	NOUN
brj-24486	52	16	,	,	PUNCT
brj-24486	52	17	d	d	NOUN
brj-24486	52	18	,	,	PUNCT
brj-24486	52	19	and	and	CCONJ
brj-24486	52	20	…	…	PUNCT
brj-24486	52	21	)	)	PUNCT
brj-24486	52	22	and	and	CCONJ
brj-24486	52	23	drying	dry	VERB
brj-24486	52	24	constants	constant	NOUN
brj-24486	52	25	(	(	PUNCT
brj-24486	52	26	k	k	X
brj-24486	52	27	,	,	PUNCT
brj-24486	52	28	g	g	PROPN
brj-24486	52	29	,	,	PUNCT
brj-24486	52	30	k1	k1	NOUN
brj-24486	52	31	,	,	PUNCT
brj-24486	52	32	k2	k2	NOUN
brj-24486	52	33	,	,	PUNCT
brj-24486	52	34	and	and	CCONJ
brj-24486	52	35	k0	k0	PROPN
brj-24486	52	36	)	)	PUNCT
brj-24486	52	37	.	.	PUNCT
brj-24486	53	1	increasing	increase	VERB
brj-24486	53	2	the	the	DET
brj-24486	53	3	numbers	number	NOUN
brj-24486	53	4	of	of	ADP
brj-24486	53	5	parameters	parameter	NOUN
brj-24486	53	6	helps	help	VERB
brj-24486	53	7	researchers	researcher	NOUN
brj-24486	53	8	to	to	ADP
brj-24486	53	9	better	well	ADJ
brj-24486	53	10	analysis	analysis	NOUN
brj-24486	53	11	and	and	CCONJ
brj-24486	53	12	predicts	predict	VERB
brj-24486	53	13	the	the	DET
brj-24486	53	14	dependent	dependent	ADJ
brj-24486	53	15	variable	variable	NOUN
brj-24486	53	16	,	,	PUNCT
brj-24486	53	17	but	but	CCONJ
brj-24486	53	18	this	this	PRON
brj-24486	53	19	is	be	AUX
brj-24486	53	20	also	also	ADV
brj-24486	53	21	a	a	DET
brj-24486	53	22	tedious	tedious	ADJ
brj-24486	53	23	and	and	CCONJ
brj-24486	53	24	time	time	NOUN
brj-24486	53	25	-	-	PUNCT
brj-24486	53	26	consuming	consume	VERB
brj-24486	53	27	task	task	NOUN
brj-24486	53	28	.	.	PUNCT
brj-24486	54	1	therefore	therefore	ADV
brj-24486	54	2	,	,	PUNCT
brj-24486	54	3	in	in	ADP
brj-24486	54	4	this	this	DET
brj-24486	54	5	study	study	NOUN
brj-24486	54	6	,	,	PUNCT
brj-24486	54	7	about	about	ADV
brj-24486	54	8	18	18	NUM
brj-24486	54	9	thin	thin	ADJ
brj-24486	54	10	layer	layer	NOUN
brj-24486	54	11	drying	dry	VERB
brj-24486	54	12	models	model	NOUN
brj-24486	54	13	with	with	ADP
brj-24486	54	14	different	different	ADJ
brj-24486	54	15	numbers	number	NOUN
brj-24486	54	16	of	of	ADP
brj-24486	54	17	fixed	fix	VERB
brj-24486	54	18	parameters	parameter	NOUN
brj-24486	54	19	and	and	CCONJ
brj-24486	54	20	an	an	DET
brj-24486	54	21	ann	ann	PROPN
brj-24486	54	22	model	model	NOUN
brj-24486	54	23	were	be	AUX
brj-24486	54	24	investigated	investigate	VERB
brj-24486	54	25	to	to	PART
brj-24486	54	26	select	select	VERB
brj-24486	54	27	the	the	DET
brj-24486	54	28	simplest	simple	ADJ
brj-24486	54	29	possible	possible	ADJ
brj-24486	54	30	model	model	NOUN
brj-24486	54	31	as	as	ADP
brj-24486	54	32	the	the	DET
brj-24486	54	33	best	good	ADJ
brj-24486	54	34	model	model	NOUN
brj-24486	54	35	for	for	ADP
brj-24486	54	36	prediction	prediction	NOUN
brj-24486	54	37	of	of	ADP
brj-24486	54	38	wood	wood	NOUN
brj-24486	54	39	fiber	fiber	NOUN
brj-24486	54	40	drying	dry	VERB
brj-24486	54	41	data	datum	NOUN
brj-24486	54	42	.	.	PUNCT
brj-24486	55	1	experimental	experimental	ADJ
brj-24486	55	2	wood	wood	NOUN
brj-24486	55	3	fibers	fiber	NOUN
brj-24486	55	4	(	(	PUNCT
brj-24486	55	5	a	a	DET
brj-24486	55	6	mixture	mixture	NOUN
brj-24486	55	7	of	of	ADP
brj-24486	55	8	forest	forest	NOUN
brj-24486	55	9	and	and	CCONJ
brj-24486	55	10	garden	garden	NOUN
brj-24486	55	11	species	specie	NOUN
brj-24486	55	12	)	)	PUNCT
brj-24486	55	13	were	be	AUX
brj-24486	55	14	obtained	obtain	VERB
brj-24486	55	15	from	from	ADP
brj-24486	55	16	the	the	DET
brj-24486	55	17	arian	arian	PROPN
brj-24486	55	18	sina	sina	PROPN
brj-24486	55	19	factory	factory	PROPN
brj-24486	55	20	(	(	PUNCT
brj-24486	55	21	mdf	mdf	NOUN
brj-24486	55	22	production	production	NOUN
brj-24486	55	23	)	)	PUNCT
brj-24486	55	24	.	.	PUNCT
brj-24486	56	1	in	in	ADP
brj-24486	56	2	order	order	NOUN
brj-24486	56	3	to	to	PART
brj-24486	56	4	investigate	investigate	VERB
brj-24486	56	5	the	the	DET
brj-24486	56	6	drying	dry	VERB
brj-24486	56	7	rate	rate	NOUN
brj-24486	56	8	of	of	ADP
brj-24486	56	9	wood	wood	NOUN
brj-24486	56	10	fibers	fiber	NOUN
brj-24486	56	11	above	above	ADP
brj-24486	56	12	fsp	fsp	PROPN
brj-24486	56	13	,	,	PUNCT
brj-24486	56	14	they	they	PRON
brj-24486	56	15	were	be	AUX
brj-24486	56	16	combined	combine	VERB
brj-24486	56	17	with	with	ADP
brj-24486	56	18	water	water	NOUN
brj-24486	56	19	in	in	ADP
brj-24486	56	20	equal	equal	ADJ
brj-24486	56	21	weight	weight	NOUN
brj-24486	56	22	ratios	ratio	NOUN
brj-24486	56	23	for	for	ADP
brj-24486	56	24	24	24	NUM
brj-24486	56	25	h	h	NOUN
brj-24486	56	26	and	and	CCONJ
brj-24486	56	27	then	then	ADV
brj-24486	56	28	stored	store	VERB
brj-24486	56	29	in	in	ADP
brj-24486	56	30	a	a	DET
brj-24486	56	31	sealed	seal	VERB
brj-24486	56	32	polyethylene	polyethylene	NOUN
brj-24486	56	33	bag	bag	NOUN
brj-24486	56	34	at	at	ADP
brj-24486	56	35	3	3	NUM
brj-24486	56	36	°	°	ADP
brj-24486	56	37	c	c	NOUN
brj-24486	56	38	to	to	ADP
brj-24486	56	39	5	5	NUM
brj-24486	56	40	°	°	ADP
brj-24486	56	41	c	c	NOUN
brj-24486	56	42	for	for	ADP
brj-24486	56	43	seven	seven	NUM
brj-24486	56	44	days	day	NOUN
brj-24486	56	45	.	.	PUNCT
brj-24486	57	1	the	the	DET
brj-24486	57	2	sample	sample	NOUN
brj-24486	57	3	was	be	AUX
brj-24486	57	4	mixed	mix	VERB
brj-24486	57	5	every	every	DET
brj-24486	57	6	day	day	NOUN
brj-24486	57	7	to	to	PART
brj-24486	57	8	ensure	ensure	VERB
brj-24486	57	9	that	that	SCONJ
brj-24486	57	10	the	the	DET
brj-24486	57	11	wood	wood	NOUN
brj-24486	57	12	fibers	fiber	NOUN
brj-24486	57	13	had	have	VERB
brj-24486	57	14	a	a	DET
brj-24486	57	15	consistent	consistent	ADJ
brj-24486	57	16	moisture	moisture	NOUN
brj-24486	57	17	level	level	NOUN
brj-24486	57	18	.	.	PUNCT
brj-24486	58	1	finally	finally	ADV
brj-24486	58	2	,	,	PUNCT
brj-24486	58	3	wood	wood	NOUN
brj-24486	58	4	fiber	fiber	NOUN
brj-24486	58	5	with	with	ADP
brj-24486	58	6	a	a	DET
brj-24486	58	7	moisture	moisture	NOUN
brj-24486	58	8	content	content	NOUN
brj-24486	58	9	of	of	ADP
brj-24486	58	10	170	170	NUM
brj-24486	58	11	%	%	NOUN
brj-24486	58	12	(	(	PUNCT
brj-24486	58	13	based	base	VERB
brj-24486	58	14	on	on	ADP
brj-24486	58	15	dry	dry	ADJ
brj-24486	58	16	weight	weight	NOUN
brj-24486	58	17	)	)	PUNCT
brj-24486	58	18	was	be	AUX
brj-24486	58	19	subjected	subject	VERB
brj-24486	58	20	to	to	ADP
brj-24486	58	21	the	the	DET
brj-24486	58	22	drying	dry	VERB
brj-24486	58	23	process	process	NOUN
brj-24486	58	24	.	.	PUNCT
brj-24486	59	1	fig	fig	NOUN
brj-24486	59	2	.	.	PUNCT
brj-24486	60	1	1	1	X
brj-24486	60	2	.	.	X
brj-24486	60	3	moisture	moisture	NOUN
brj-24486	60	4	analyzer	analyzer	NOUN
brj-24486	60	5	,	,	PUNCT
brj-24486	60	6	mb45	mb45	PROPN
brj-24486	60	7	am	be	AUX
brj-24486	60	8	(	(	PUNCT
brj-24486	60	9	ohaus.com	ohaus.com	X
brj-24486	60	10	)	)	PUNCT
brj-24486	60	11	peer	peer	NOUN
brj-24486	60	12	-	-	PUNCT
brj-24486	60	13	reviewed	review	VERB
brj-24486	60	14	article	article	NOUN
brj-24486	60	15	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	60	16	arabi	arabi	PROPN
brj-24486	60	17	&	&	CCONJ
brj-24486	60	18	ghalehno	ghalehno	PROPN
brj-24486	60	19	(	(	PUNCT
brj-24486	60	20	2026	2026	NUM
brj-24486	60	21	)	)	PUNCT
brj-24486	60	22	.	.	PUNCT
brj-24486	61	1	“	"	PUNCT
brj-24486	61	2	wood	wood	NOUN
brj-24486	61	3	fiber	fiber	NOUN
brj-24486	61	4	drying	dry	VERB
brj-24486	61	5	,	,	PUNCT
brj-24486	61	6	”	"	PUNCT
brj-24486	61	7	bioresources	bioresource	NOUN
brj-24486	61	8	21(1	21(1	NUM
brj-24486	61	9	)	)	PUNCT
brj-24486	61	10	,	,	PUNCT
brj-24486	61	11	654	654	NUM
brj-24486	61	12	-	-	SYM
brj-24486	61	13	672	672	NUM
brj-24486	61	14	.	.	PUNCT
brj-24486	62	1	657	657	NUM
brj-24486	62	2	drying	dry	VERB
brj-24486	62	3	process	process	NOUN
brj-24486	62	4	a	a	DET
brj-24486	62	5	moisture	moisture	NOUN
brj-24486	62	6	analyzer	analyzer	NOUN
brj-24486	62	7	halogen	halogen	NOUN
brj-24486	62	8	model	model	NOUN
brj-24486	62	9	mb45	mb45	PROPN
brj-24486	62	10	,	,	PUNCT
brj-24486	62	11	manufactured	manufacture	VERB
brj-24486	62	12	by	by	ADP
brj-24486	62	13	ohaus	ohaus	NOUN
brj-24486	62	14	,	,	PUNCT
brj-24486	62	15	was	be	AUX
brj-24486	62	16	used	use	VERB
brj-24486	62	17	to	to	PART
brj-24486	62	18	dry	dry	VERB
brj-24486	62	19	wood	wood	NOUN
brj-24486	62	20	fibers	fiber	NOUN
brj-24486	62	21	at	at	ADP
brj-24486	62	22	three	three	NUM
brj-24486	62	23	different	different	ADJ
brj-24486	62	24	temperatures	temperature	NOUN
brj-24486	62	25	:	:	PUNCT
brj-24486	62	26	105	105	NUM
brj-24486	62	27	,	,	PUNCT
brj-24486	62	28	120	120	NUM
brj-24486	62	29	,	,	PUNCT
brj-24486	62	30	and	and	CCONJ
brj-24486	62	31	135	135	NUM
brj-24486	62	32	°	°	NOUN
brj-24486	62	33	c	c	X
brj-24486	62	34	(	(	PUNCT
brj-24486	62	35	fig	fig	NOUN
brj-24486	62	36	.	.	PUNCT
brj-24486	62	37	1	1	NUM
brj-24486	62	38	)	)	PUNCT
brj-24486	62	39	.	.	PUNCT
brj-24486	63	1	the	the	DET
brj-24486	63	2	mb45	mb45	PROPN
brj-24486	63	3	has	have	VERB
brj-24486	63	4	a	a	DET
brj-24486	63	5	sample	sample	NOUN
brj-24486	63	6	capacity	capacity	NOUN
brj-24486	63	7	of	of	ADP
brj-24486	63	8	45	45	NUM
brj-24486	63	9	g	g	NOUN
brj-24486	63	10	,	,	PUNCT
brj-24486	63	11	with	with	ADP
brj-24486	63	12	a	a	DET
brj-24486	63	13	readability	readability	NOUN
brj-24486	63	14	of	of	ADP
brj-24486	63	15	0.001	0.001	NUM
brj-24486	63	16	g	g	NOUN
brj-24486	63	17	and	and	CCONJ
brj-24486	63	18	repeatability	repeatability	NOUN
brj-24486	63	19	of	of	ADP
brj-24486	63	20	0.015	0.015	NUM
brj-24486	63	21	%	%	NOUN
brj-24486	63	22	(	(	PUNCT
brj-24486	63	23	using	use	VERB
brj-24486	63	24	a	a	DET
brj-24486	63	25	10	10	NUM
brj-24486	63	26	g	g	NOUN
brj-24486	63	27	sample	sample	NOUN
brj-24486	63	28	)	)	PUNCT
brj-24486	63	29	.	.	PUNCT
brj-24486	64	1	the	the	DET
brj-24486	64	2	heater	heater	NOUN
brj-24486	64	3	type	type	NOUN
brj-24486	64	4	of	of	ADP
brj-24486	64	5	mb45	mb45	PROPN
brj-24486	64	6	is	be	AUX
brj-24486	64	7	a	a	DET
brj-24486	64	8	halogen	halogen	NOUN
brj-24486	64	9	lamp	lamp	NOUN
brj-24486	64	10	,	,	PUNCT
brj-24486	64	11	and	and	CCONJ
brj-24486	64	12	the	the	DET
brj-24486	64	13	operating	operate	VERB
brj-24486	64	14	temperature	temperature	NOUN
brj-24486	64	15	range	range	NOUN
brj-24486	64	16	is	be	AUX
brj-24486	64	17	50	50	NUM
brj-24486	64	18	to	to	ADP
brj-24486	64	19	200	200	NUM
brj-24486	64	20	°	°	NOUN
brj-24486	64	21	c	c	NOUN
brj-24486	64	22	in	in	ADP
brj-24486	64	23	1	1	NUM
brj-24486	64	24	°	°	NOUN
brj-24486	64	25	c	c	NOUN
brj-24486	64	26	increments	increment	NOUN
brj-24486	64	27	.	.	PUNCT
brj-24486	65	1	in	in	ADP
brj-24486	65	2	halogen	halogen	NOUN
brj-24486	65	3	hygrometers	hygrometer	NOUN
brj-24486	65	4	,	,	PUNCT
brj-24486	65	5	the	the	DET
brj-24486	65	6	sample	sample	NOUN
brj-24486	65	7	is	be	AUX
brj-24486	65	8	heated	heat	VERB
brj-24486	65	9	by	by	ADP
brj-24486	65	10	absorbing	absorb	VERB
brj-24486	65	11	the	the	DET
brj-24486	65	12	infrared	infrared	NOUN
brj-24486	65	13	(	(	PUNCT
brj-24486	65	14	ir	ir	NOUN
brj-24486	65	15	)	)	PUNCT
brj-24486	65	16	radiation	radiation	NOUN
brj-24486	65	17	produced	produce	VERB
brj-24486	65	18	by	by	ADP
brj-24486	65	19	the	the	DET
brj-24486	65	20	halogen	halogen	PROPN
brj-24486	65	21	lamp	lamp	NOUN
brj-24486	65	22	.	.	PUNCT
brj-24486	66	1	the	the	DET
brj-24486	66	2	weight	weight	NOUN
brj-24486	66	3	difference	difference	NOUN
brj-24486	66	4	before	before	ADV
brj-24486	66	5	and	and	CCONJ
brj-24486	66	6	after	after	ADP
brj-24486	66	7	dryings	drying	NOUN
brj-24486	66	8	is	be	AUX
brj-24486	66	9	used	use	VERB
brj-24486	66	10	to	to	PART
brj-24486	66	11	determine	determine	VERB
brj-24486	66	12	the	the	DET
brj-24486	66	13	mass	mass	ADJ
brj-24486	66	14	and	and	CCONJ
brj-24486	66	15	moisture	moisture	NOUN
brj-24486	66	16	content	content	NOUN
brj-24486	66	17	of	of	ADP
brj-24486	66	18	the	the	DET
brj-24486	66	19	sample	sample	NOUN
brj-24486	66	20	continuously	continuously	ADV
brj-24486	66	21	throughout	throughout	ADP
brj-24486	66	22	the	the	DET
brj-24486	66	23	drying	dry	VERB
brj-24486	66	24	process	process	NOUN
brj-24486	66	25	.	.	PUNCT
brj-24486	67	1	halogen	halogen	PROPN
brj-24486	67	2	hygrometers	hygrometer	NOUN
brj-24486	67	3	work	work	VERB
brj-24486	67	4	on	on	ADP
brj-24486	67	5	the	the	DET
brj-24486	67	6	loss	loss	NOUN
brj-24486	67	7	on	on	ADP
brj-24486	67	8	drying	dry	VERB
brj-24486	67	9	(	(	PUNCT
brj-24486	67	10	lod	lod	PROPN
brj-24486	67	11	)	)	PUNCT
brj-24486	67	12	principle	principle	NOUN
brj-24486	67	13	,	,	PUNCT
brj-24486	67	14	as	as	ADP
brj-24486	67	15	in	in	ADP
brj-24486	67	16	the	the	DET
brj-24486	67	17	case	case	NOUN
brj-24486	67	18	of	of	ADP
brj-24486	67	19	oven	oven	ADJ
brj-24486	67	20	dryers	dryer	NOUN
brj-24486	67	21	.	.	PUNCT
brj-24486	68	1	however	however	ADV
brj-24486	68	2	,	,	PUNCT
brj-24486	68	3	there	there	PRON
brj-24486	68	4	are	be	VERB
brj-24486	68	5	various	various	ADJ
brj-24486	68	6	benefits	benefit	NOUN
brj-24486	68	7	such	such	ADJ
brj-24486	68	8	as	as	ADP
brj-24486	68	9	quick	quick	ADJ
brj-24486	68	10	drying	drying	NOUN
brj-24486	68	11	time	time	NOUN
brj-24486	68	12	,	,	PUNCT
brj-24486	68	13	ease	ease	NOUN
brj-24486	68	14	of	of	ADP
brj-24486	68	15	use	use	NOUN
brj-24486	68	16	,	,	PUNCT
brj-24486	68	17	and	and	CCONJ
brj-24486	68	18	direct	direct	ADJ
brj-24486	68	19	measurement	measurement	NOUN
brj-24486	68	20	without	without	ADP
brj-24486	68	21	computations	computation	NOUN
brj-24486	68	22	compared	compare	VERB
brj-24486	68	23	to	to	ADP
brj-24486	68	24	the	the	DET
brj-24486	68	25	oven	oven	NOUN
brj-24486	68	26	dryer	dryer	NOUN
brj-24486	68	27	.	.	PUNCT
brj-24486	69	1	to	to	PART
brj-24486	69	2	investigate	investigate	VERB
brj-24486	69	3	the	the	DET
brj-24486	69	4	drying	dry	VERB
brj-24486	69	5	kinetics	kinetic	NOUN
brj-24486	69	6	of	of	ADP
brj-24486	69	7	wood	wood	NOUN
brj-24486	69	8	fibers	fiber	NOUN
brj-24486	69	9	,	,	PUNCT
brj-24486	69	10	4	4	NUM
brj-24486	69	11	g	g	NOUN
brj-24486	69	12	of	of	ADP
brj-24486	69	13	wet	wet	ADJ
brj-24486	69	14	fibers	fiber	NOUN
brj-24486	69	15	were	be	AUX
brj-24486	69	16	dispersed	disperse	VERB
brj-24486	69	17	on	on	ADP
brj-24486	69	18	a	a	DET
brj-24486	69	19	stainless	stainless	ADJ
brj-24486	69	20	-	-	PUNCT
brj-24486	69	21	steel	steel	NOUN
brj-24486	69	22	tray	tray	NOUN
brj-24486	69	23	placed	place	VERB
brj-24486	69	24	on	on	ADP
brj-24486	69	25	a	a	DET
brj-24486	69	26	precise	precise	ADJ
brj-24486	69	27	and	and	CCONJ
brj-24486	69	28	sensitive	sensitive	ADJ
brj-24486	69	29	scale	scale	NOUN
brj-24486	69	30	in	in	ADP
brj-24486	69	31	the	the	DET
brj-24486	69	32	dryer	dryer	NOUN
brj-24486	69	33	compartment	compartment	NOUN
brj-24486	69	34	.	.	PUNCT
brj-24486	70	1	the	the	DET
brj-24486	70	2	fiber	fiber	NOUN
brj-24486	70	3	was	be	AUX
brj-24486	70	4	distributed	distribute	VERB
brj-24486	70	5	on	on	ADP
brj-24486	70	6	a	a	DET
brj-24486	70	7	tray	tray	NOUN
brj-24486	70	8	carefully	carefully	ADV
brj-24486	70	9	to	to	PART
brj-24486	70	10	prevent	prevent	VERB
brj-24486	70	11	the	the	DET
brj-24486	70	12	fibers	fiber	NOUN
brj-24486	70	13	from	from	ADP
brj-24486	70	14	accumulating	accumulate	VERB
brj-24486	70	15	at	at	ADP
brj-24486	70	16	single	single	ADJ
brj-24486	70	17	points	point	NOUN
brj-24486	70	18	.	.	PUNCT
brj-24486	71	1	after	after	ADP
brj-24486	71	2	adjusting	adjust	VERB
brj-24486	71	3	the	the	DET
brj-24486	71	4	temperature	temperature	NOUN
brj-24486	71	5	of	of	ADP
brj-24486	71	6	the	the	DET
brj-24486	71	7	dryer	dryer	PROPN
brj-24486	71	8	chamber	chamber	NOUN
brj-24486	71	9	in	in	ADP
brj-24486	71	10	the	the	DET
brj-24486	71	11	scope	scope	NOUN
brj-24486	71	12	of	of	ADP
brj-24486	71	13	this	this	DET
brj-24486	71	14	study	study	NOUN
brj-24486	71	15	,	,	PUNCT
brj-24486	71	16	the	the	DET
brj-24486	71	17	weight	weight	NOUN
brj-24486	71	18	loss	loss	NOUN
brj-24486	71	19	values	value	NOUN
brj-24486	71	20	of	of	ADP
brj-24486	71	21	the	the	DET
brj-24486	71	22	samples	sample	NOUN
brj-24486	71	23	at	at	ADP
brj-24486	71	24	a	a	DET
brj-24486	71	25	specified	specified	ADJ
brj-24486	71	26	time	time	NOUN
brj-24486	71	27	interval	interval	NOUN
brj-24486	71	28	,	,	PUNCT
brj-24486	71	29	every	every	DET
brj-24486	71	30	30	30	NUM
brj-24486	71	31	s	s	NOUN
brj-24486	71	32	,	,	PUNCT
brj-24486	71	33	were	be	AUX
brj-24486	71	34	presented	present	VERB
brj-24486	71	35	and	and	CCONJ
brj-24486	71	36	recorded	record	VERB
brj-24486	71	37	online	online	ADV
brj-24486	71	38	on	on	ADP
brj-24486	71	39	the	the	DET
brj-24486	71	40	hygrometer	hygrometer	NOUN
brj-24486	71	41	display	display	NOUN
brj-24486	71	42	.	.	PUNCT
brj-24486	72	1	the	the	DET
brj-24486	72	2	wood	wood	NOUN
brj-24486	72	3	fibers	fiber	NOUN
brj-24486	72	4	continued	continue	VERB
brj-24486	72	5	to	to	PART
brj-24486	72	6	dry	dry	VERB
brj-24486	72	7	until	until	SCONJ
brj-24486	72	8	the	the	DET
brj-24486	72	9	sample	sample	NOUN
brj-24486	72	10	’s	’s	PART
brj-24486	72	11	moisture	moisture	NOUN
brj-24486	72	12	content	content	NOUN
brj-24486	72	13	was	be	AUX
brj-24486	72	14	nearly	nearly	ADV
brj-24486	72	15	zero	zero	NUM
brj-24486	72	16	.	.	PUNCT
brj-24486	73	1	the	the	DET
brj-24486	73	2	tests	test	NOUN
brj-24486	73	3	were	be	AUX
brj-24486	73	4	performed	perform	VERB
brj-24486	73	5	three	three	NUM
brj-24486	73	6	times	time	NOUN
brj-24486	73	7	for	for	ADP
brj-24486	73	8	each	each	DET
brj-24486	73	9	temperature	temperature	NOUN
brj-24486	73	10	,	,	PUNCT
brj-24486	73	11	and	and	CCONJ
brj-24486	73	12	the	the	DET
brj-24486	73	13	mean	mean	ADJ
brj-24486	73	14	moisture	moisture	NOUN
brj-24486	73	15	content	content	NOUN
brj-24486	73	16	measurements	measurement	NOUN
brj-24486	73	17	were	be	AUX
brj-24486	73	18	used	use	VERB
brj-24486	73	19	to	to	PART
brj-24486	73	20	design	design	VERB
brj-24486	73	21	and	and	CCONJ
brj-24486	73	22	fit	fit	VERB
brj-24486	73	23	the	the	DET
brj-24486	73	24	drying	dry	VERB
brj-24486	73	25	curves	curve	NOUN
brj-24486	73	26	for	for	ADP
brj-24486	73	27	each	each	DET
brj-24486	73	28	temperature	temperature	NOUN
brj-24486	73	29	.	.	PUNCT
brj-24486	74	1	drying	dry	VERB
brj-24486	74	2	kinetics	kinetic	NOUN
brj-24486	74	3	of	of	ADP
brj-24486	74	4	wood	wood	NOUN
brj-24486	74	5	fibers	fiber	NOUN
brj-24486	74	6	the	the	DET
brj-24486	74	7	moisture	moisture	NOUN
brj-24486	74	8	content	content	NOUN
brj-24486	74	9	of	of	ADP
brj-24486	74	10	wood	wood	NOUN
brj-24486	74	11	fibers	fiber	NOUN
brj-24486	74	12	was	be	AUX
brj-24486	74	13	measured	measure	VERB
brj-24486	74	14	according	accord	VERB
brj-24486	74	15	to	to	ADP
brj-24486	74	16	eqs	eqs	PROPN
brj-24486	74	17	.	.	PROPN
brj-24486	74	18	1	1	NUM
brj-24486	74	19	and	and	CCONJ
brj-24486	74	20	2	2	NUM
brj-24486	74	21	,	,	PUNCT
brj-24486	74	22	mr	mr	PROPN
brj-24486	74	23	=	=	PRON
brj-24486	74	24	(	(	PUNCT
brj-24486	74	25	𝑀t−𝑀e	𝑀t−𝑀e	X
brj-24486	74	26	𝑀0	𝑀0	ADJ
brj-24486	74	27	−𝑀e	−𝑀e	NOUN
brj-24486	74	28	)	)	PUNCT
brj-24486	74	29	(	(	PUNCT
brj-24486	74	30	1	1	X
brj-24486	74	31	)	)	PUNCT
brj-24486	74	32	mr	mr	PROPN
brj-24486	74	33	=	=	PRON
brj-24486	74	34	(	(	PUNCT
brj-24486	74	35	𝑀t+dt	𝑀t+dt	NOUN
brj-24486	74	36	𝑀0	𝑀0	ADJ
brj-24486	74	37	)	)	PUNCT
brj-24486	74	38	(	(	PUNCT
brj-24486	74	39	2	2	X
brj-24486	74	40	)	)	PUNCT
brj-24486	74	41	where	where	SCONJ
brj-24486	74	42	mr	mr	PROPN
brj-24486	74	43	is	be	AUX
brj-24486	74	44	the	the	DET
brj-24486	74	45	moisture	moisture	NOUN
brj-24486	74	46	ratio	ratio	NOUN
brj-24486	74	47	(	(	PUNCT
brj-24486	74	48	dimensionless	dimensionless	NOUN
brj-24486	74	49	)	)	PUNCT
brj-24486	74	50	,	,	PUNCT
brj-24486	74	51	mt	mt	PROPN
brj-24486	74	52	is	be	AUX
brj-24486	74	53	the	the	DET
brj-24486	74	54	moisture	moisture	NOUN
brj-24486	74	55	content	content	NOUN
brj-24486	74	56	at	at	ADP
brj-24486	74	57	time	time	NOUN
brj-24486	74	58	t	t	PROPN
brj-24486	74	59	(	(	PUNCT
brj-24486	74	60	kg	kg	NOUN
brj-24486	74	61	of	of	ADP
brj-24486	74	62	solids	solid	NOUN
brj-24486	74	63	/	/	SYM
brj-24486	74	64	kg	kg	PROPN
brj-24486	74	65	of	of	ADP
brj-24486	74	66	water	water	NOUN
brj-24486	74	67	)	)	PUNCT
brj-24486	74	68	,	,	PUNCT
brj-24486	74	69	me	i	PRON
brj-24486	74	70	is	be	AUX
brj-24486	74	71	the	the	DET
brj-24486	74	72	equilibrium	equilibrium	NOUN
brj-24486	74	73	moisture	moisture	NOUN
brj-24486	74	74	(	(	PUNCT
brj-24486	74	75	kg	kg	NOUN
brj-24486	74	76	of	of	ADP
brj-24486	74	77	solids	solid	NOUN
brj-24486	74	78	/	/	SYM
brj-24486	74	79	kg	kg	PROPN
brj-24486	74	80	of	of	ADP
brj-24486	74	81	water	water	NOUN
brj-24486	74	82	)	)	PUNCT
brj-24486	74	83	,	,	PUNCT
brj-24486	74	84	and	and	CCONJ
brj-24486	74	85	m0	m0	NOUN
brj-24486	74	86	is	be	AUX
brj-24486	74	87	the	the	DET
brj-24486	74	88	initial	initial	ADJ
brj-24486	74	89	moisture	moisture	NOUN
brj-24486	74	90	content	content	NOUN
brj-24486	74	91	(	(	PUNCT
brj-24486	74	92	kg	kg	NOUN
brj-24486	74	93	of	of	ADP
brj-24486	74	94	solids	solid	NOUN
brj-24486	74	95	/	/	SYM
brj-24486	74	96	kg	kg	PROPN
brj-24486	74	97	of	of	ADP
brj-24486	74	98	water	water	NOUN
brj-24486	74	99	)	)	PUNCT
brj-24486	74	100	.	.	PUNCT
brj-24486	75	1	it	it	PRON
brj-24486	75	2	should	should	AUX
brj-24486	75	3	be	be	AUX
brj-24486	75	4	noted	note	VERB
brj-24486	75	5	that	that	SCONJ
brj-24486	75	6	due	due	ADP
brj-24486	75	7	to	to	ADP
brj-24486	75	8	the	the	DET
brj-24486	75	9	insignificant	insignificant	ADJ
brj-24486	75	10	value	value	NOUN
brj-24486	75	11	of	of	ADP
brj-24486	75	12	me	i	PRON
brj-24486	75	13	in	in	ADP
brj-24486	75	14	comparison	comparison	NOUN
brj-24486	75	15	with	with	ADP
brj-24486	75	16	mt	mt	PROPN
brj-24486	75	17	and	and	CCONJ
brj-24486	75	18	m0	m0	PROPN
brj-24486	75	19	,	,	PUNCT
brj-24486	75	20	it	it	PRON
brj-24486	75	21	can	can	AUX
brj-24486	75	22	be	be	AUX
brj-24486	75	23	ignored	ignore	VERB
brj-24486	75	24	.	.	PUNCT
brj-24486	76	1	therefore	therefore	ADV
brj-24486	76	2	eq	eq	ADJ
brj-24486	76	3	.	.	PROPN
brj-24486	76	4	1	1	NUM
brj-24486	76	5	can	can	AUX
brj-24486	76	6	be	be	AUX
brj-24486	76	7	simplified	simplify	VERB
brj-24486	76	8	to	to	ADP
brj-24486	76	9	eq	eq	NOUN
brj-24486	76	10	.	.	PROPN
brj-24486	76	11	2	2	X
brj-24486	76	12	.	.	PUNCT
brj-24486	77	1	(	(	PUNCT
brj-24486	77	2	doymaz	doymaz	NOUN
brj-24486	77	3	2007	2007	NUM
brj-24486	77	4	;	;	PUNCT
brj-24486	77	5	ertekin	ertekin	PROPN
brj-24486	77	6	and	and	CCONJ
brj-24486	77	7	firat	firat	PROPN
brj-24486	77	8	2017	2017	NUM
brj-24486	77	9	)	)	PUNCT
brj-24486	77	10	.	.	PUNCT
brj-24486	78	1	the	the	DET
brj-24486	78	2	drying	dry	VERB
brj-24486	78	3	rate	rate	NOUN
brj-24486	78	4	of	of	ADP
brj-24486	78	5	wood	wood	NOUN
brj-24486	78	6	fibers	fiber	NOUN
brj-24486	78	7	was	be	AUX
brj-24486	78	8	measured	measure	VERB
brj-24486	78	9	using	use	VERB
brj-24486	78	10	eq	eq	ADP
brj-24486	78	11	.	.	PROPN
brj-24486	78	12	3	3	NUM
brj-24486	78	13	(	(	PUNCT
brj-24486	78	14	ertekin	ertekin	X
brj-24486	78	15	and	and	CCONJ
brj-24486	78	16	firat	firat	PROPN
brj-24486	78	17	2017	2017	NUM
brj-24486	78	18	)	)	PUNCT
brj-24486	78	19	,	,	PUNCT
brj-24486	78	20	dr	dr	PROPN
brj-24486	78	21	=	=	PRON
brj-24486	78	22	(	(	PUNCT
brj-24486	78	23	𝑀t+dt−𝑀t	𝑀t+dt−𝑀t	NOUN
brj-24486	78	24	dt	dt	NOUN
brj-24486	78	25	)	)	PUNCT
brj-24486	78	26	(	(	PUNCT
brj-24486	78	27	3	3	X
brj-24486	78	28	)	)	PUNCT
brj-24486	78	29	where	where	SCONJ
brj-24486	78	30	mt	mt	PROPN
brj-24486	78	31	and	and	CCONJ
brj-24486	78	32	mt+dt	mt+dt	NOUN
brj-24486	78	33	are	be	AUX
brj-24486	78	34	the	the	DET
brj-24486	78	35	mc	mc	PROPN
brj-24486	78	36	values	value	NOUN
brj-24486	78	37	at	at	ADP
brj-24486	78	38	t	t	PROPN
brj-24486	78	39	and	and	CCONJ
brj-24486	78	40	t+dt	t+dt	NOUN
brj-24486	78	41	(	(	PUNCT
brj-24486	78	42	kg	kg	NOUN
brj-24486	78	43	moisture	moisture	NOUN
brj-24486	78	44	/	/	SYM
brj-24486	78	45	kg	kg	X
brj-24486	78	46	dry	dry	ADJ
brj-24486	78	47	matter	matter	NOUN
brj-24486	78	48	)	)	PUNCT
brj-24486	78	49	,	,	PUNCT
brj-24486	78	50	respectively	respectively	ADV
brj-24486	78	51	,	,	PUNCT
brj-24486	78	52	and	and	CCONJ
brj-24486	78	53	t	t	PROPN
brj-24486	78	54	is	be	AUX
brj-24486	78	55	drying	dry	VERB
brj-24486	78	56	time	time	NOUN
brj-24486	78	57	(	(	PUNCT
brj-24486	78	58	s	s	NOUN
brj-24486	78	59	)	)	PUNCT
brj-24486	78	60	.	.	PUNCT
brj-24486	79	1	equation	equation	NOUN
brj-24486	79	2	2	2	NUM
brj-24486	79	3	was	be	AUX
brj-24486	79	4	used	use	VERB
brj-24486	79	5	to	to	PART
brj-24486	79	6	obtain	obtain	VERB
brj-24486	79	7	the	the	DET
brj-24486	79	8	mr	mr	PROPN
brj-24486	79	9	of	of	ADP
brj-24486	79	10	wood	wood	NOUN
brj-24486	79	11	fibers	fiber	NOUN
brj-24486	79	12	at	at	ADP
brj-24486	79	13	each	each	DET
brj-24486	79	14	temperature	temperature	NOUN
brj-24486	79	15	.	.	PUNCT
brj-24486	80	1	then	then	ADV
brj-24486	80	2	,	,	PUNCT
brj-24486	80	3	the	the	DET
brj-24486	80	4	experimental	experimental	ADJ
brj-24486	80	5	drying	dry	VERB
brj-24486	80	6	data	datum	NOUN
brj-24486	80	7	of	of	ADP
brj-24486	80	8	mr	mr	PROPN
brj-24486	80	9	versus	versus	ADP
brj-24486	80	10	time	time	NOUN
brj-24486	80	11	was	be	AUX
brj-24486	80	12	fitted	fit	VERB
brj-24486	80	13	to	to	ADP
brj-24486	80	14	thin	thin	ADJ
brj-24486	80	15	drying	dry	VERB
brj-24486	80	16	layer	layer	NOUN
brj-24486	80	17	models	model	NOUN
brj-24486	80	18	using	use	VERB
brj-24486	80	19	matlab	matlab	PROPN
brj-24486	80	20	2016	2016	NUM
brj-24486	80	21	software	software	NOUN
brj-24486	80	22	.	.	PUNCT
brj-24486	81	1	the	the	DET
brj-24486	81	2	models	model	NOUN
brj-24486	81	3	listed	list	VERB
brj-24486	81	4	in	in	ADP
brj-24486	81	5	table	table	NOUN
brj-24486	81	6	1	1	NUM
brj-24486	81	7	have	have	AUX
brj-24486	81	8	already	already	ADV
brj-24486	81	9	been	be	AUX
brj-24486	81	10	widely	widely	ADV
brj-24486	81	11	used	use	VERB
brj-24486	81	12	to	to	PART
brj-24486	81	13	investigate	investigate	VERB
brj-24486	81	14	the	the	DET
brj-24486	81	15	drying	dry	VERB
brj-24486	81	16	kinetics	kinetic	NOUN
brj-24486	81	17	of	of	ADP
brj-24486	81	18	food	food	NOUN
brj-24486	81	19	,	,	PUNCT
brj-24486	81	20	agricultural	agricultural	ADJ
brj-24486	81	21	products	product	NOUN
brj-24486	81	22	,	,	PUNCT
brj-24486	81	23	and	and	CCONJ
brj-24486	81	24	municipal	municipal	ADJ
brj-24486	81	25	waste	waste	NOUN
brj-24486	81	26	.	.	PUNCT
brj-24486	82	1	the	the	DET
brj-24486	82	2	performance	performance	NOUN
brj-24486	82	3	of	of	ADP
brj-24486	82	4	these	these	DET
brj-24486	82	5	models	model	NOUN
brj-24486	82	6	was	be	AUX
brj-24486	82	7	examined	examine	VERB
brj-24486	82	8	by	by	ADP
brj-24486	82	9	comparing	compare	VERB
brj-24486	82	10	the	the	DET
brj-24486	82	11	coefficient	coefficient	NOUN
brj-24486	82	12	of	of	ADP
brj-24486	82	13	determination	determination	NOUN
brj-24486	82	14	(	(	PUNCT
brj-24486	82	15	r²	r²	PROPN
brj-24486	82	16	)	)	PUNCT
brj-24486	82	17	,	,	PUNCT
brj-24486	82	18	sum	sum	NOUN
brj-24486	82	19	squares	square	NOUN
brj-24486	82	20	of	of	ADP
brj-24486	82	21	error	error	NOUN
brj-24486	82	22	(	(	PUNCT
brj-24486	82	23	sse	sse	NOUN
brj-24486	82	24	)	)	PUNCT
brj-24486	82	25	,	,	PUNCT
brj-24486	82	26	and	and	CCONJ
brj-24486	82	27	root	root	NOUN
brj-24486	82	28	mean	mean	VERB
brj-24486	82	29	squared	square	VERB
brj-24486	82	30	error	error	NOUN
brj-24486	82	31	(	(	PUNCT
brj-24486	82	32	rmse	rmse	NOUN
brj-24486	82	33	)	)	PUNCT
brj-24486	82	34	peer	peer	NOUN
brj-24486	82	35	-	-	PUNCT
brj-24486	82	36	reviewed	review	VERB
brj-24486	82	37	article	article	NOUN
brj-24486	82	38	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	82	39	arabi	arabi	PROPN
brj-24486	82	40	&	&	CCONJ
brj-24486	82	41	ghalehno	ghalehno	PROPN
brj-24486	82	42	(	(	PUNCT
brj-24486	82	43	2026	2026	NUM
brj-24486	82	44	)	)	PUNCT
brj-24486	82	45	.	.	PUNCT
brj-24486	83	1	“	"	PUNCT
brj-24486	83	2	wood	wood	NOUN
brj-24486	83	3	fiber	fiber	NOUN
brj-24486	83	4	drying	dry	VERB
brj-24486	83	5	,	,	PUNCT
brj-24486	83	6	”	"	PUNCT
brj-24486	83	7	bioresources	bioresource	NOUN
brj-24486	83	8	21(1	21(1	NUM
brj-24486	83	9	)	)	PUNCT
brj-24486	83	10	,	,	PUNCT
brj-24486	83	11	654	654	NUM
brj-24486	83	12	-	-	SYM
brj-24486	83	13	672	672	NUM
brj-24486	83	14	.	.	PUNCT
brj-24486	83	15	658	658	NUM
brj-24486	83	16	which	which	PRON
brj-24486	83	17	were	be	AUX
brj-24486	83	18	calculated	calculate	VERB
brj-24486	83	19	in	in	ADP
brj-24486	83	20	eqs	eqs	PROPN
brj-24486	83	21	.	.	PROPN
brj-24486	83	22	4	4	NUM
brj-24486	83	23	to	to	PART
brj-24486	83	24	6	6	NUM
brj-24486	83	25	,	,	PUNCT
brj-24486	83	26	respectively	respectively	ADV
brj-24486	83	27	.	.	PUNCT
brj-24486	84	1	the	the	DET
brj-24486	84	2	best	well	ADV
brj-24486	84	3	thin	thin	ADJ
brj-24486	84	4	drying	dry	VERB
brj-24486	84	5	layer	layer	NOUN
brj-24486	84	6	model	model	NOUN
brj-24486	84	7	is	be	AUX
brj-24486	84	8	the	the	DET
brj-24486	84	9	one	one	NUM
brj-24486	84	10	with	with	ADP
brj-24486	84	11	the	the	DET
brj-24486	84	12	smallest	small	ADJ
brj-24486	84	13	error	error	NOUN
brj-24486	84	14	value	value	NOUN
brj-24486	84	15	and	and	CCONJ
brj-24486	84	16	the	the	DET
brj-24486	84	17	greatest	great	ADJ
brj-24486	84	18	coefficient	coefficient	NOUN
brj-24486	84	19	of	of	ADP
brj-24486	84	20	determination	determination	NOUN
brj-24486	84	21	,	,	PUNCT
brj-24486	84	22			ADJ
brj-24486	84	23			PRON
brj-24486	84	24			NOUN
brj-24486	84	25			X
brj-24486	84	26			X
brj-24486	85	1	=	=	PUNCT
brj-24486	85	2	=	=	PUNCT
brj-24486	85	3	−−	−−	NOUN
brj-24486	85	4	−−	−−	NOUN
brj-24486	85	5	=	=	SYM
brj-24486	85	6	n	n	CCONJ
brj-24486	85	7	i	i	PRON
brj-24486	85	8	preiprei	preiprei	VERB
brj-24486	85	9	n	n	CCONJ
brj-24486	85	10	i	i	PRON
brj-24486	85	11	preiprei	preiprei	VERB
brj-24486	85	12	mrmrmrmr	mrmrmrmr	PROPN
brj-24486	85	13	mrmrmrmr	mrmrmrmr	PROPN
brj-24486	85	14	r	r	NOUN
brj-24486	85	15	1	1	NUM
brj-24486	85	16	2	2	NUM
brj-24486	85	17	,	,	PUNCT
brj-24486	85	18	2	2	NUM
brj-24486	85	19	expexp	expexp	NOUN
brj-24486	85	20	,	,	PUNCT
brj-24486	85	21	1	1	NUM
brj-24486	85	22	,	,	PUNCT
brj-24486	85	23	expexp	expexp	NOUN
brj-24486	85	24	,	,	PUNCT
brj-24486	85	25	2	2	NUM
brj-24486	85	26	)	)	PUNCT
brj-24486	85	27	(	(	PUNCT
brj-24486	85	28	.	.	PUNCT
brj-24486	85	29	)	)	PUNCT
brj-24486	85	30	(	(	PUNCT
brj-24486	85	31	)	)	PUNCT
brj-24486	85	32	)	)	PUNCT
brj-24486	85	33	(	(	PUNCT
brj-24486	85	34	(	(	PUNCT
brj-24486	85	35	(	(	PUNCT
brj-24486	85	36	4	4	NUM
brj-24486	85	37	)	)	SYM
brj-24486	85	38	2	2	NUM
brj-24486	85	39	1	1	NUM
brj-24486	85	40	n	n	PROPN
brj-24486	85	41	1i	1i	NUM
brj-24486	85	42	iexp	iexp	NOUN
brj-24486	85	43	,	,	PUNCT
brj-24486	85	44	ipre	ipre	NOUN
brj-24486	85	45	,	,	PUNCT
brj-24486	85	46	)	)	PUNCT
brj-24486	85	47	m(m	m(m	NOUN
brj-24486	85	48	n	n	CCONJ
brj-24486	85	49	1	1	NUM
brj-24486	85	50	rmse	rmse	NOUN
brj-24486	85	51			PROPN
brj-24486	85	52			PROPN
brj-24486	85	53			X
brj-24486	85	54			NOUN
brj-24486	85	55			VERB
brj-24486	85	56			PROPN
brj-24486	85	57	−=	−=	NOUN
brj-24486	85	58			X
brj-24486	85	59	=	=	PUNCT
brj-24486	85	60	(	(	PUNCT
brj-24486	85	61	5	5	X
brj-24486	85	62	)	)	PUNCT
brj-24486	85	63	sse	sse	NOUN
brj-24486	86	1	=	=	SYM
brj-24486	86	2	∑(𝑀𝑅pre	∑(𝑀𝑅pre	PROPN
brj-24486	86	3	,	,	PUNCT
brj-24486	86	4	i	i	PRON
brj-24486	86	5	n	n	CCONJ
brj-24486	86	6	i=1	i=1	PROPN
brj-24486	86	7	−𝑀𝑅exp	−𝑀𝑅exp	PROPN
brj-24486	86	8	)	)	PUNCT
brj-24486	86	9	2	2	NUM
brj-24486	86	10	(	(	PUNCT
brj-24486	86	11	6	6	NUM
brj-24486	86	12	)	)	PUNCT
brj-24486	86	13	where	where	SCONJ
brj-24486	86	14	mrprei	mrprei	NOUN
brj-24486	86	15	and	and	CCONJ
brj-24486	86	16	mrexpi	mrexpi	PROPN
brj-24486	86	17	are	be	AUX
brj-24486	86	18	the	the	DET
brj-24486	86	19	predicted	predict	VERB
brj-24486	86	20	and	and	CCONJ
brj-24486	86	21	experimental	experimental	ADJ
brj-24486	86	22	moisture	moisture	NOUN
brj-24486	86	23	ratio	ratio	NOUN
brj-24486	86	24	values	value	NOUN
brj-24486	86	25	at	at	ADP
brj-24486	86	26	ith	ith	PROPN
brj-24486	86	27	observation	observation	NOUN
brj-24486	86	28	,	,	PUNCT
brj-24486	86	29	respectively	respectively	ADV
brj-24486	86	30	.	.	PUNCT
brj-24486	87	1	the	the	DET
brj-24486	87	2	mrexp	mrexp	PROPN
brj-24486	87	3	is	be	AUX
brj-24486	87	4	the	the	DET
brj-24486	87	5	mean	mean	ADJ
brj-24486	87	6	value	value	NOUN
brj-24486	87	7	of	of	ADP
brj-24486	87	8	the	the	DET
brj-24486	87	9	explanatory	explanatory	ADJ
brj-24486	87	10	variable	variable	NOUN
brj-24486	87	11	,	,	PUNCT
brj-24486	87	12	n	n	X
brj-24486	87	13	is	be	AUX
brj-24486	87	14	the	the	DET
brj-24486	87	15	number	number	NOUN
brj-24486	87	16	of	of	ADP
brj-24486	87	17	observations	observation	NOUN
brj-24486	87	18	,	,	PUNCT
brj-24486	87	19	and	and	CCONJ
brj-24486	87	20	n	n	PRON
brj-24486	87	21	is	be	AUX
brj-24486	87	22	the	the	DET
brj-24486	87	23	number	number	NOUN
brj-24486	87	24	of	of	ADP
brj-24486	87	25	model	model	NOUN
brj-24486	87	26	parameters	parameter	NOUN
brj-24486	87	27	.	.	PUNCT
brj-24486	88	1	table	table	NOUN
brj-24486	88	2	1	1	NUM
brj-24486	88	3	.	.	PUNCT
brj-24486	88	4	mathematical	mathematical	ADJ
brj-24486	88	5	models	model	NOUN
brj-24486	88	6	applied	apply	VERB
brj-24486	88	7	to	to	ADP
brj-24486	88	8	drying	dry	VERB
brj-24486	88	9	curves	curve	NOUN
brj-24486	88	10	model	model	NOUN
brj-24486	88	11	name	name	NOUN
brj-24486	88	12	model	model	NOUN
brj-24486	88	13	equation	equation	NOUN
brj-24486	88	14	parameters	parameter	NOUN
brj-24486	88	15	reference	reference	PROPN
brj-24486	88	16	lewis	lewis	PROPN
brj-24486	88	17	(	(	PUNCT
brj-24486	88	18	newton	newton	PROPN
brj-24486	88	19	)	)	PUNCT
brj-24486	88	20	mr	mr	PROPN
brj-24486	88	21	=	=	PROPN
brj-24486	88	22	exp(−kt	exp(−kt	PROPN
brj-24486	88	23	)	)	PUNCT
brj-24486	89	1	k	k	PROPN
brj-24486	89	2	ghazanfari	ghazanfari	PROPN
brj-24486	89	3	et	et	PROPN
brj-24486	89	4	al	al	PROPN
brj-24486	89	5	.	.	PROPN
brj-24486	89	6	2006	2006	NUM
brj-24486	89	7	henderson	henderson	PROPN
brj-24486	89	8	and	and	CCONJ
brj-24486	89	9	pabis	pabis	NOUN
brj-24486	89	10	mr	mr	PROPN
brj-24486	89	11	=	=	PROPN
brj-24486	89	12	a	a	DET
brj-24486	89	13	exp(−kt	exp(−kt	PROPN
brj-24486	89	14	)	)	PUNCT
brj-24486	89	15	a	a	NOUN
brj-24486	89	16	,	,	PUNCT
brj-24486	89	17	k	k	PROPN
brj-24486	89	18	kaur	kaur	PROPN
brj-24486	89	19	and	and	CCONJ
brj-24486	89	20	singh	singh	PROPN
brj-24486	89	21	2014	2014	NUM
brj-24486	89	22	logarithmic	logarithmic	NOUN
brj-24486	90	1	mr	mr	PROPN
brj-24486	90	2	=	=	PROPN
brj-24486	90	3	a	a	DET
brj-24486	90	4	exp(−kt	exp(−kt	PROPN
brj-24486	90	5	)	)	PUNCT
brj-24486	91	1	+	+	CCONJ
brj-24486	91	2	c	c	PROPN
brj-24486	91	3	a	a	PRON
brj-24486	91	4	,	,	PUNCT
brj-24486	91	5	k	k	PROPN
brj-24486	91	6	,	,	PUNCT
brj-24486	91	7	c	c	PROPN
brj-24486	91	8	gan	gan	PROPN
brj-24486	91	9	and	and	CCONJ
brj-24486	91	10	poh	poh	PROPN
brj-24486	91	11	2104	2104	NUM
brj-24486	91	12	modified	modify	VERB
brj-24486	91	13	midilli	midilli	PROPN
brj-24486	91	14	et	et	PROPN
brj-24486	91	15	al.-iii	al.-iii	PROPN
brj-24486	91	16	mr	mr	NOUN
brj-24486	92	1	=	=	PROPN
brj-24486	92	2	a	a	DET
brj-24486	92	3	exp(−kt	exp(−kt	PROPN
brj-24486	92	4	)	)	PUNCT
brj-24486	93	1	+	+	CCONJ
brj-24486	93	2	ct	ct	PROPN
brj-24486	93	3	a	a	PRON
brj-24486	93	4	,	,	PUNCT
brj-24486	93	5	k	k	NOUN
brj-24486	93	6	,	,	PUNCT
brj-24486	93	7	c	c	PROPN
brj-24486	93	8	kaur	kaur	PROPN
brj-24486	93	9	and	and	CCONJ
brj-24486	93	10	singh	singh	PROPN
brj-24486	93	11	2014	2014	NUM
brj-24486	93	12	two	two	NUM
brj-24486	93	13	-	-	PUNCT
brj-24486	93	14	term	term	NOUN
brj-24486	93	15	mr	mr	PROPN
brj-24486	93	16	=	=	PROPN
brj-24486	93	17	a	a	DET
brj-24486	93	18	exp(−k1	exp(−k1	PROPN
brj-24486	93	19	t	t	PROPN
brj-24486	93	20	)	)	PUNCT
brj-24486	94	1	+	+	NUM
brj-24486	94	2	c	c	PROPN
brj-24486	94	3	exp(−k2	exp(−k2	NUM
brj-24486	94	4	t	t	PROPN
brj-24486	94	5	)	)	PUNCT
brj-24486	94	6	a	a	PRON
brj-24486	94	7	,	,	PUNCT
brj-24486	94	8	k1	k1	NOUN
brj-24486	94	9	,	,	PUNCT
brj-24486	94	10	k2	k2	NOUN
brj-24486	94	11	,	,	PUNCT
brj-24486	94	12	c	c	PROPN
brj-24486	94	13	kumar	kumar	PROPN
brj-24486	94	14	et	et	PROPN
brj-24486	94	15	al	al	PROPN
brj-24486	94	16	.	.	PROPN
brj-24486	94	17	2014	2014	NUM
brj-24486	94	18	noomhorm	noomhorm	NOUN
brj-24486	94	19	and	and	CCONJ
brj-24486	94	20	verma	verma	PROPN
brj-24486	94	21	mr	mr	PROPN
brj-24486	94	22	=	=	PROPN
brj-24486	94	23	a	a	DET
brj-24486	94	24	exp(−k1	exp(−k1	PROPN
brj-24486	94	25	t	t	PROPN
brj-24486	94	26	)	)	PUNCT
brj-24486	95	1	+	+	NUM
brj-24486	95	2	b	b	PROPN
brj-24486	95	3	exp(−k2	exp(−k2	NUM
brj-24486	95	4	t	t	PROPN
brj-24486	95	5	)	)	PUNCT
brj-24486	96	1	+	+	CCONJ
brj-24486	96	2	c	c	PROPN
brj-24486	96	3	a	a	PRON
brj-24486	96	4	,	,	PUNCT
brj-24486	96	5	b	b	PROPN
brj-24486	96	6	,	,	PUNCT
brj-24486	96	7	c	c	NOUN
brj-24486	96	8	,	,	PUNCT
brj-24486	96	9	k1	k1	PROPN
brj-24486	96	10	,	,	PUNCT
brj-24486	96	11	k2	k2	PROPN
brj-24486	96	12	kaleta	kaleta	PROPN
brj-24486	96	13	and	and	CCONJ
brj-24486	96	14	gornicki	gornicki	PROPN
brj-24486	96	15	2010	2010	NUM
brj-24486	96	16	modified	modify	VERB
brj-24486	96	17	henderson	henderson	PROPN
brj-24486	96	18	and	and	CCONJ
brj-24486	96	19	pabis	pabis	NOUN
brj-24486	96	20	mr	mr	PROPN
brj-24486	96	21	=	=	PROPN
brj-24486	96	22	a	a	DET
brj-24486	96	23	exp	exp	NOUN
brj-24486	96	24	(	(	PUNCT
brj-24486	96	25	−k1	−k1	PROPN
brj-24486	96	26	t	t	PROPN
brj-24486	96	27	)	)	PUNCT
brj-24486	97	1	+	+	CCONJ
brj-24486	97	2	b	b	PROPN
brj-24486	97	3	exp(−k2	exp(−k2	NUM
brj-24486	97	4	t	t	PROPN
brj-24486	97	5	)	)	PUNCT
brj-24486	98	1	+	+	NUM
brj-24486	98	2	c	c	NOUN
brj-24486	98	3	exp(−k3	exp(−k3	VERB
brj-24486	98	4	t	t	PROPN
brj-24486	98	5	)	)	PUNCT
brj-24486	98	6	a	a	DET
brj-24486	98	7	,	,	PUNCT
brj-24486	98	8	b	b	NOUN
brj-24486	98	9	,	,	PUNCT
brj-24486	98	10	c	c	NOUN
brj-24486	98	11	,	,	PUNCT
brj-24486	98	12	k1,k2,k3	k1,k2,k3	VERB
brj-24486	98	13	erbay	erbay	ADJ
brj-24486	98	14	and	and	CCONJ
brj-24486	98	15	icier	icy	ADJ
brj-24486	98	16	2009	2009	NUM
brj-24486	98	17	two	two	NUM
brj-24486	98	18	-	-	PUNCT
brj-24486	98	19	term	term	NOUN
brj-24486	98	20	exponential	exponential	NOUN
brj-24486	99	1	mr	mr	PROPN
brj-24486	99	2	=	=	PROPN
brj-24486	99	3	a	a	DET
brj-24486	99	4	exp(−k1	exp(−k1	NOUN
brj-24486	99	5	t	t	PROPN
brj-24486	99	6	)	)	PUNCT
brj-24486	99	7	+	+	CCONJ
brj-24486	99	8	(	(	PUNCT
brj-24486	99	9	1	1	NUM
brj-24486	99	10	−	−	NOUN
brj-24486	99	11	a	a	X
brj-24486	99	12	)	)	PUNCT
brj-24486	99	13	exp(−ak2	exp(−ak2	NOUN
brj-24486	99	14	t	t	PROPN
brj-24486	99	15	)	)	PUNCT
brj-24486	99	16	a	a	NOUN
brj-24486	99	17	,	,	PUNCT
brj-24486	99	18	k1,k2	k1,k2	PROPN
brj-24486	99	19	lee	lee	PROPN
brj-24486	99	20	and	and	CCONJ
brj-24486	99	21	kim	kim	PROPN
brj-24486	99	22	2009	2009	NUM
brj-24486	99	23	modified	modify	VERB
brj-24486	99	24	two	two	NUM
brj-24486	99	25	term	term	NOUN
brj-24486	99	26	-	-	PUNCT
brj-24486	99	27	v	v	NOUN
brj-24486	99	28	mr	mr	PROPN
brj-24486	99	29	=	=	PROPN
brj-24486	99	30	a	a	DET
brj-24486	99	31	exp(−kt	exp(−kt	PROPN
brj-24486	99	32	)	)	PUNCT
brj-24486	100	1	+	+	CCONJ
brj-24486	100	2	(	(	PUNCT
brj-24486	100	3	1	1	NUM
brj-24486	100	4	−	−	NOUN
brj-24486	100	5	a	a	X
brj-24486	100	6	)	)	PUNCT
brj-24486	100	7	exp(−gt	exp(−gt	PROPN
brj-24486	100	8	)	)	PUNCT
brj-24486	100	9	a	a	NOUN
brj-24486	100	10	,	,	PUNCT
brj-24486	100	11	g	g	PROPN
brj-24486	100	12	,	,	PUNCT
brj-24486	100	13	k	k	PROPN
brj-24486	100	14	verma	verma	PROPN
brj-24486	100	15	et	et	PROPN
brj-24486	101	1	al	al	PROPN
brj-24486	101	2	.	.	PROPN
brj-24486	101	3	1985	1985	NUM
brj-24486	101	4	page	page	NOUN
brj-24486	101	5	mr	mr	PROPN
brj-24486	101	6	=	=	PROPN
brj-24486	101	7	exp	exp	PROPN
brj-24486	101	8	(	(	PUNCT
brj-24486	101	9	−ktn	−ktn	NOUN
brj-24486	101	10	)	)	PUNCT
brj-24486	102	1	k	k	PROPN
brj-24486	102	2	,	,	PUNCT
brj-24486	102	3	n	n	PROPN
brj-24486	102	4	doymaz	doymaz	NOUN
brj-24486	102	5	2007	2007	NUM
brj-24486	102	6	modified	modify	VERB
brj-24486	102	7	page	page	NOUN
brj-24486	102	8	-	-	PUNCT
brj-24486	102	9	iv	iv	NOUN
brj-24486	102	10	mr	mr	PROPN
brj-24486	102	11	=	=	PROPN
brj-24486	102	12	a	a	DET
brj-24486	102	13	exp(−ktn	exp(−ktn	PROPN
brj-24486	102	14	)	)	PUNCT
brj-24486	102	15	a	a	PRON
brj-24486	102	16	,	,	PUNCT
brj-24486	102	17	k	k	NOUN
brj-24486	102	18	,	,	PUNCT
brj-24486	102	19	n	n	X
brj-24486	102	20	babalis	babali	NOUN
brj-24486	102	21	et	et	PROPN
brj-24486	102	22	al	al	PROPN
brj-24486	102	23	.	.	PROPN
brj-24486	102	24	2006	2006	NUM
brj-24486	102	25	hii	hii	VERB
brj-24486	102	26	et	et	PROPN
brj-24486	102	27	al	al	PROPN
brj-24486	102	28	.	.	PUNCT
brj-24486	103	1	mr	mr	PROPN
brj-24486	103	2	=	=	PROPN
brj-24486	103	3	a	a	DET
brj-24486	103	4	exp	exp	NOUN
brj-24486	103	5	(	(	PUNCT
brj-24486	103	6	−ktn	−ktn	NOUN
brj-24486	103	7	)	)	PUNCT
brj-24486	104	1	+	+	CCONJ
brj-24486	104	2	c	c	NOUN
brj-24486	104	3	exp(−gtn	exp(−gtn	PROPN
brj-24486	104	4	)	)	PUNCT
brj-24486	104	5	a	a	PRON
brj-24486	104	6	,	,	PUNCT
brj-24486	104	7	k	k	NOUN
brj-24486	104	8	,	,	PUNCT
brj-24486	104	9	n	n	CCONJ
brj-24486	104	10	,	,	PUNCT
brj-24486	104	11	c	c	X
brj-24486	104	12	,	,	PUNCT
brj-24486	104	13	g	g	PROPN
brj-24486	104	14	hii	hii	VERB
brj-24486	104	15	et	et	PROPN
brj-24486	104	16	al	al	PROPN
brj-24486	104	17	.	.	PROPN
brj-24486	104	18	2009	2009	NUM
brj-24486	105	1	kaleta	kaleta	PROPN
brj-24486	105	2	et	et	PROPN
brj-24486	105	3	al	al	PROPN
brj-24486	105	4	.	.	PROPN
brj-24486	105	5	ii	ii	PROPN
brj-24486	106	1	mr	mr	PROPN
brj-24486	106	2	=	=	PROPN
brj-24486	106	3	a	a	DET
brj-24486	106	4	exp(−ktn	exp(−ktn	NUM
brj-24486	106	5	)	)	PUNCT
brj-24486	107	1	+	+	CCONJ
brj-24486	107	2	(	(	PUNCT
brj-24486	107	3	1	1	NUM
brj-24486	107	4	−	−	NOUN
brj-24486	107	5	a)exp(−gtn	a)exp(−gtn	NOUN
brj-24486	107	6	)	)	PUNCT
brj-24486	107	7	a	a	PRON
brj-24486	107	8	,	,	PUNCT
brj-24486	107	9	k	k	NOUN
brj-24486	107	10	,	,	PUNCT
brj-24486	107	11	n	n	CCONJ
brj-24486	107	12	,	,	PUNCT
brj-24486	107	13	g	g	PROPN
brj-24486	107	14	kaleta	kaleta	PROPN
brj-24486	107	15	et	et	PROPN
brj-24486	107	16	al	al	PROPN
brj-24486	107	17	.	.	PROPN
brj-24486	107	18	2013	2013	NUM
brj-24486	107	19	modified	modify	VERB
brj-24486	107	20	page	page	NOUN
brj-24486	107	21	ii	ii	NOUN
brj-24486	108	1	mr	mr	PROPN
brj-24486	108	2	=	=	PROPN
brj-24486	108	3	exp[−(kt)n	exp[−(kt)n	PROPN
brj-24486	108	4	]	]	X
brj-24486	108	5	k	k	X
brj-24486	108	6	,	,	PUNCT
brj-24486	108	7	n	n	PROPN
brj-24486	108	8	vega	vega	PROPN
brj-24486	108	9	et	et	PROPN
brj-24486	108	10	al	al	PROPN
brj-24486	108	11	.	.	PROPN
brj-24486	108	12	2007	2007	NUM
brj-24486	108	13	modified	modify	VERB
brj-24486	108	14	page	page	NOUN
brj-24486	108	15	.iii	.iii	PUNCT
brj-24486	109	1	mr	mr	PROPN
brj-24486	109	2	=	=	PROPN
brj-24486	109	3	a	a	DET
brj-24486	109	4	exp[−(kt)n	exp[−(kt)n	X
brj-24486	109	5	]	]	X
brj-24486	109	6	a	a	X
brj-24486	109	7	,	,	PUNCT
brj-24486	109	8	k	k	NOUN
brj-24486	109	9	,	,	PUNCT
brj-24486	109	10	n	n	CCONJ
brj-24486	109	11	ertekin	ertekin	NOUN
brj-24486	109	12	and	and	CCONJ
brj-24486	109	13	firat	firat	PROPN
brj-24486	109	14	2017	2017	NUM
brj-24486	109	15	demir	demir	PROPN
brj-24486	109	16	et	et	PROPN
brj-24486	109	17	al	al	PROPN
brj-24486	109	18	.	.	PUNCT
brj-24486	110	1	mr	mr	PROPN
brj-24486	110	2	=	=	PROPN
brj-24486	110	3	a	a	PRON
brj-24486	110	4	exp[−(kt)n	exp[−(kt)n	X
brj-24486	110	5	]	]	X
brj-24486	110	6	+	+	CCONJ
brj-24486	110	7	c	c	PROPN
brj-24486	110	8	a	a	PRON
brj-24486	110	9	,	,	PUNCT
brj-24486	110	10	k	k	NOUN
brj-24486	110	11	,	,	PUNCT
brj-24486	110	12	c	c	X
brj-24486	110	13	,	,	PUNCT
brj-24486	110	14	n	n	PROPN
brj-24486	110	15	demir	demir	PROPN
brj-24486	110	16	et	et	PROPN
brj-24486	110	17	al	al	PROPN
brj-24486	110	18	.	.	PROPN
brj-24486	110	19	2007	2007	NUM
brj-24486	110	20	wang	wang	PROPN
brj-24486	110	21	and	and	CCONJ
brj-24486	110	22	singh	singh	PROPN
brj-24486	111	1	mr	mr	PROPN
brj-24486	111	2	=	=	PROPN
brj-24486	111	3	1	1	NUM
brj-24486	111	4	+	+	CCONJ
brj-24486	111	5	at	at	ADP
brj-24486	111	6	+	+	CCONJ
brj-24486	111	7	kt2	kt2	NOUN
brj-24486	111	8	a	a	NOUN
brj-24486	111	9	,	,	PUNCT
brj-24486	111	10	k	k	PROPN
brj-24486	111	11	wang	wang	PROPN
brj-24486	111	12	and	and	CCONJ
brj-24486	111	13	singh	singh	PROPN
brj-24486	111	14	1978	1978	NUM
brj-24486	111	15	midilli	midilli	PROPN
brj-24486	111	16	et	et	PROPN
brj-24486	111	17	al	al	PROPN
brj-24486	111	18	.	.	PUNCT
brj-24486	112	1	mr	mr	PROPN
brj-24486	112	2	=	=	PROPN
brj-24486	112	3	a	a	DET
brj-24486	112	4	exp(−ktn	exp(−ktn	NUM
brj-24486	112	5	)	)	PUNCT
brj-24486	113	1	+	+	CCONJ
brj-24486	113	2	ct	ct	PROPN
brj-24486	113	3	a	a	PRON
brj-24486	113	4	,	,	PUNCT
brj-24486	113	5	k	k	NOUN
brj-24486	113	6	,	,	PUNCT
brj-24486	113	7	n	n	CCONJ
brj-24486	113	8	,	,	PUNCT
brj-24486	113	9	c	c	PROPN
brj-24486	113	10	midilli	midilli	PROPN
brj-24486	113	11	et	et	PROPN
brj-24486	113	12	al	al	PROPN
brj-24486	113	13	.	.	PROPN
brj-24486	113	14	2002	2002	NUM
brj-24486	113	15	peer	peer	NOUN
brj-24486	113	16	-	-	PUNCT
brj-24486	113	17	reviewed	review	VERB
brj-24486	113	18	article	article	NOUN
brj-24486	113	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	113	20	arabi	arabi	PROPN
brj-24486	113	21	&	&	CCONJ
brj-24486	113	22	ghalehno	ghalehno	PROPN
brj-24486	113	23	(	(	PUNCT
brj-24486	113	24	2026	2026	NUM
brj-24486	113	25	)	)	PUNCT
brj-24486	113	26	.	.	PUNCT
brj-24486	114	1	“	"	PUNCT
brj-24486	114	2	wood	wood	NOUN
brj-24486	114	3	fiber	fiber	NOUN
brj-24486	114	4	drying	dry	VERB
brj-24486	114	5	,	,	PUNCT
brj-24486	114	6	”	"	PUNCT
brj-24486	114	7	bioresources	bioresource	NOUN
brj-24486	114	8	21(1	21(1	NUM
brj-24486	114	9	)	)	PUNCT
brj-24486	114	10	,	,	PUNCT
brj-24486	114	11	654	654	NUM
brj-24486	114	12	-	-	SYM
brj-24486	114	13	672	672	NUM
brj-24486	114	14	.	.	PUNCT
brj-24486	114	15	659	659	NUM
brj-24486	114	16	artificial	artificial	ADJ
brj-24486	114	17	neural	neural	ADJ
brj-24486	114	18	network	network	NOUN
brj-24486	114	19	model	model	NOUN
brj-24486	114	20	an	an	DET
brj-24486	114	21	artificial	artificial	ADJ
brj-24486	114	22	neural	neural	ADJ
brj-24486	114	23	network	network	NOUN
brj-24486	114	24	(	(	PUNCT
brj-24486	114	25	ann	ann	PROPN
brj-24486	114	26	)	)	PUNCT
brj-24486	114	27	is	be	AUX
brj-24486	114	28	a	a	DET
brj-24486	114	29	nonlinear	nonlinear	ADJ
brj-24486	114	30	modeling	modeling	NOUN
brj-24486	114	31	method	method	NOUN
brj-24486	114	32	.	.	PUNCT
brj-24486	115	1	it	it	PRON
brj-24486	115	2	is	be	AUX
brj-24486	115	3	generally	generally	ADV
brj-24486	115	4	used	use	VERB
brj-24486	115	5	to	to	PART
brj-24486	115	6	model	model	VERB
brj-24486	115	7	complex	complex	ADJ
brj-24486	115	8	physical	physical	ADJ
brj-24486	115	9	phenomena	phenomenon	NOUN
brj-24486	115	10	such	such	ADJ
brj-24486	115	11	as	as	ADP
brj-24486	115	12	the	the	DET
brj-24486	115	13	drying	dry	VERB
brj-24486	115	14	process	process	NOUN
brj-24486	115	15	of	of	ADP
brj-24486	115	16	wood	wood	NOUN
brj-24486	115	17	and	and	CCONJ
brj-24486	115	18	lignocellulosic	lignocellulosic	ADJ
brj-24486	115	19	materials	material	NOUN
brj-24486	115	20	.	.	PUNCT
brj-24486	116	1	the	the	DET
brj-24486	116	2	ann	ann	PROPN
brj-24486	116	3	configuration	configuration	NOUN
brj-24486	116	4	used	use	VERB
brj-24486	116	5	in	in	ADP
brj-24486	116	6	this	this	DET
brj-24486	116	7	study	study	NOUN
brj-24486	116	8	was	be	AUX
brj-24486	116	9	a	a	DET
brj-24486	116	10	multi	multi	ADJ
brj-24486	116	11	-	-	ADJ
brj-24486	116	12	layer	layer	ADJ
brj-24486	116	13	perceptron	perceptron	NOUN
brj-24486	116	14	(	(	PUNCT
brj-24486	116	15	mlp	mlp	PROPN
brj-24486	116	16	)	)	PUNCT
brj-24486	116	17	.	.	PUNCT
brj-24486	117	1	a	a	DET
brj-24486	117	2	mlp	mlp	NOUN
brj-24486	117	3	is	be	AUX
brj-24486	117	4	a	a	DET
brj-24486	117	5	feed	feed	NOUN
brj-24486	117	6	forward	forward	ADV
brj-24486	117	7	ann	ann	PROPN
brj-24486	117	8	model	model	NOUN
brj-24486	117	9	that	that	PRON
brj-24486	117	10	generates	generate	VERB
brj-24486	117	11	a	a	DET
brj-24486	117	12	set	set	NOUN
brj-24486	117	13	of	of	ADP
brj-24486	117	14	outputs	output	NOUN
brj-24486	117	15	from	from	ADP
brj-24486	117	16	a	a	DET
brj-24486	117	17	set	set	NOUN
brj-24486	117	18	of	of	ADP
brj-24486	117	19	inputs	input	NOUN
brj-24486	117	20	.	.	PUNCT
brj-24486	118	1	the	the	DET
brj-24486	118	2	mlp	mlp	NOUN
brj-24486	118	3	is	be	AUX
brj-24486	118	4	characterized	characterize	VERB
brj-24486	118	5	by	by	ADP
brj-24486	118	6	several	several	ADJ
brj-24486	118	7	layers	layer	NOUN
brj-24486	118	8	of	of	ADP
brj-24486	118	9	input	input	NOUN
brj-24486	118	10	nodes	node	NOUN
brj-24486	118	11	connected	connect	VERB
brj-24486	118	12	as	as	ADP
brj-24486	118	13	a	a	DET
brj-24486	118	14	directed	direct	VERB
brj-24486	118	15	graph	graph	NOUN
brj-24486	118	16	between	between	ADP
brj-24486	118	17	the	the	DET
brj-24486	118	18	input	input	NOUN
brj-24486	118	19	and	and	CCONJ
brj-24486	118	20	output	output	NOUN
brj-24486	118	21	layers	layer	NOUN
brj-24486	118	22	.	.	PUNCT
brj-24486	119	1	the	the	DET
brj-24486	119	2	mlp	mlp	PROPN
brj-24486	119	3	uses	use	VERB
brj-24486	119	4	backpropagation	backpropagation	NOUN
brj-24486	119	5	for	for	ADP
brj-24486	119	6	training	train	VERB
brj-24486	119	7	the	the	DET
brj-24486	119	8	network	network	NOUN
brj-24486	119	9	and	and	CCONJ
brj-24486	119	10	it	it	PRON
brj-24486	119	11	consists	consist	VERB
brj-24486	119	12	of	of	ADP
brj-24486	119	13	three	three	NUM
brj-24486	119	14	types	type	NOUN
brj-24486	119	15	of	of	ADP
brj-24486	119	16	layers	layer	NOUN
brj-24486	119	17	-	-	PUNCT
brj-24486	119	18	the	the	DET
brj-24486	119	19	input	input	NOUN
brj-24486	119	20	layer	layer	NOUN
brj-24486	119	21	,	,	PUNCT
brj-24486	119	22	output	output	NOUN
brj-24486	119	23	layer	layer	NOUN
brj-24486	119	24	,	,	PUNCT
brj-24486	119	25	and	and	CCONJ
brj-24486	119	26	hidden	hidden	ADJ
brj-24486	119	27	layer	layer	NOUN
brj-24486	119	28	,	,	PUNCT
brj-24486	119	29	as	as	SCONJ
brj-24486	119	30	shown	show	VERB
brj-24486	119	31	in	in	ADP
brj-24486	119	32	fig	fig	NOUN
brj-24486	119	33	.	.	PUNCT
brj-24486	120	1	2	2	X
brj-24486	120	2	.	.	X
brj-24486	120	3	fig	fig	NOUN
brj-24486	120	4	.	.	PUNCT
brj-24486	121	1	2	2	X
brj-24486	121	2	.	.	X
brj-24486	121	3	scheme	scheme	NOUN
brj-24486	121	4	of	of	ADP
brj-24486	121	5	artificial	artificial	ADJ
brj-24486	121	6	neural	neural	ADJ
brj-24486	121	7	network	network	NOUN
brj-24486	121	8	for	for	ADP
brj-24486	121	9	prediction	prediction	NOUN
brj-24486	121	10	moisture	moisture	NOUN
brj-24486	121	11	content	content	NOUN
brj-24486	121	12	of	of	ADP
brj-24486	121	13	wood	wood	NOUN
brj-24486	121	14	fiber	fiber	NOUN
brj-24486	121	15	the	the	DET
brj-24486	121	16	data	datum	NOUN
brj-24486	121	17	employed	employ	VERB
brj-24486	121	18	for	for	ADP
brj-24486	121	19	experimental	experimental	ADJ
brj-24486	121	20	study	study	NOUN
brj-24486	121	21	were	be	AUX
brj-24486	121	22	randomly	randomly	ADV
brj-24486	121	23	divided	divide	VERB
brj-24486	121	24	into	into	ADP
brj-24486	121	25	three	three	NUM
brj-24486	121	26	groups	group	NOUN
brj-24486	121	27	:	:	PUNCT
brj-24486	121	28	70	70	NUM
brj-24486	121	29	%	%	NOUN
brj-24486	121	30	in	in	ADP
brj-24486	121	31	the	the	DET
brj-24486	121	32	training	training	NOUN
brj-24486	121	33	set	set	NOUN
brj-24486	121	34	,	,	PUNCT
brj-24486	121	35	15	15	NUM
brj-24486	121	36	%	%	NOUN
brj-24486	121	37	in	in	ADP
brj-24486	121	38	the	the	DET
brj-24486	121	39	validation	validation	NOUN
brj-24486	121	40	set	set	NOUN
brj-24486	121	41	,	,	PUNCT
brj-24486	121	42	and	and	CCONJ
brj-24486	121	43	15	15	NUM
brj-24486	121	44	%	%	NOUN
brj-24486	121	45	in	in	ADP
brj-24486	121	46	the	the	DET
brj-24486	121	47	test	test	NOUN
brj-24486	121	48	set	set	NOUN
brj-24486	121	49	.	.	PUNCT
brj-24486	122	1	the	the	DET
brj-24486	122	2	structure	structure	NOUN
brj-24486	122	3	of	of	ADP
brj-24486	122	4	the	the	DET
brj-24486	122	5	three	three	NUM
brj-24486	122	6	-	-	PUNCT
brj-24486	122	7	layer	layer	NOUN
brj-24486	122	8	feed	feed	NOUN
brj-24486	122	9	-	-	PUNCT
brj-24486	122	10	forward	forward	NOUN
brj-24486	122	11	network	network	NOUN
brj-24486	122	12	studied	study	VERB
brj-24486	122	13	in	in	ADP
brj-24486	122	14	this	this	DET
brj-24486	122	15	paper	paper	NOUN
brj-24486	122	16	was	be	AUX
brj-24486	122	17	built	build	VERB
brj-24486	122	18	using	use	VERB
brj-24486	122	19	two	two	NUM
brj-24486	122	20	input	input	NOUN
brj-24486	122	21	variables	variable	NOUN
brj-24486	122	22	(	(	PUNCT
brj-24486	122	23	temperature	temperature	NOUN
brj-24486	122	24	and	and	CCONJ
brj-24486	122	25	drying	dry	VERB
brj-24486	122	26	time	time	NOUN
brj-24486	122	27	)	)	PUNCT
brj-24486	122	28	and	and	CCONJ
brj-24486	122	29	one	one	NUM
brj-24486	122	30	the	the	DET
brj-24486	122	31	outputs	output	NOUN
brj-24486	122	32	variables	variable	NOUN
brj-24486	122	33	(	(	PUNCT
brj-24486	122	34	moisture	moisture	NOUN
brj-24486	122	35	content	content	NOUN
brj-24486	122	36	)	)	PUNCT
brj-24486	122	37	.	.	PUNCT
brj-24486	123	1	different	different	ADJ
brj-24486	123	2	number	number	NOUN
brj-24486	123	3	of	of	ADP
brj-24486	123	4	neurons	neuron	NOUN
brj-24486	123	5	in	in	ADP
brj-24486	123	6	the	the	DET
brj-24486	123	7	hidden	hide	VERB
brj-24486	123	8	layer	layer	NOUN
brj-24486	123	9	was	be	AUX
brj-24486	123	10	applied	apply	VERB
brj-24486	123	11	based	base	VERB
brj-24486	123	12	on	on	ADP
brj-24486	123	13	the	the	DET
brj-24486	123	14	trial	trial	NOUN
brj-24486	123	15	method	method	NOUN
brj-24486	123	16	to	to	PART
brj-24486	123	17	develop	develop	VERB
brj-24486	123	18	the	the	DET
brj-24486	123	19	optimum	optimum	ADJ
brj-24486	123	20	ann	ann	PROPN
brj-24486	123	21	model	model	NOUN
brj-24486	123	22	that	that	PRON
brj-24486	123	23	can	can	AUX
brj-24486	123	24	minimize	minimize	VERB
brj-24486	123	25	the	the	DET
brj-24486	123	26	deviations	deviation	NOUN
brj-24486	123	27	between	between	ADP
brj-24486	123	28	the	the	DET
brj-24486	123	29	predicted	predict	VERB
brj-24486	123	30	and	and	CCONJ
brj-24486	123	31	experimental	experimental	ADJ
brj-24486	123	32	results	result	NOUN
brj-24486	123	33	.	.	PUNCT
brj-24486	124	1	the	the	DET
brj-24486	124	2	neural	neural	ADJ
brj-24486	124	3	network	network	NOUN
brj-24486	124	4	was	be	AUX
brj-24486	124	5	trained	train	VERB
brj-24486	124	6	using	use	VERB
brj-24486	124	7	the	the	DET
brj-24486	124	8	levenbergmarquardt	levenbergmarquardt	NOUN
brj-24486	124	9	(	(	PUNCT
brj-24486	124	10	lm	lm	INTJ
brj-24486	124	11	)	)	PUNCT
brj-24486	124	12	learning	learn	VERB
brj-24486	124	13	algorithm	algorithm	NOUN
brj-24486	124	14	.	.	PUNCT
brj-24486	125	1	the	the	DET
brj-24486	125	2	hyperbolic	hyperbolic	ADJ
brj-24486	125	3	tangent	tangent	NOUN
brj-24486	125	4	sigmoid	sigmoid	NOUN
brj-24486	125	5	transfer	transfer	NOUN
brj-24486	125	6	function	function	NOUN
brj-24486	125	7	was	be	AUX
brj-24486	125	8	as	as	SCONJ
brj-24486	125	9	follows	follow	NOUN
brj-24486	125	10	,	,	PUNCT
brj-24486	125	11	𝑓(𝑥	𝑓(𝑥	NOUN
brj-24486	125	12	)	)	PUNCT
brj-24486	125	13	=	=	SYM
brj-24486	126	1	2	2	NUM
brj-24486	126	2	1	1	NUM
brj-24486	126	3	+	+	CCONJ
brj-24486	126	4	𝑒(−2𝑥	𝑒(−2𝑥	NUM
brj-24486	126	5	)	)	PUNCT
brj-24486	126	6	−	−	NOUN
brj-24486	126	7	1	1	NUM
brj-24486	126	8	(	(	PUNCT
brj-24486	126	9	7	7	NUM
brj-24486	126	10	)	)	PUNCT
brj-24486	126	11	where	where	SCONJ
brj-24486	126	12	f	f	PROPN
brj-24486	126	13	(	(	PUNCT
brj-24486	126	14	x	x	NOUN
brj-24486	126	15	)	)	PUNCT
brj-24486	126	16	and	and	CCONJ
brj-24486	126	17	x	x	PRON
brj-24486	126	18	are	be	AUX
brj-24486	126	19	the	the	DET
brj-24486	126	20	output	output	NOUN
brj-24486	126	21	and	and	CCONJ
brj-24486	126	22	input	input	NOUN
brj-24486	126	23	values	value	NOUN
brj-24486	126	24	of	of	ADP
brj-24486	126	25	neurons	neuron	NOUN
brj-24486	126	26	,	,	PUNCT
brj-24486	126	27	respectively	respectively	ADV
brj-24486	126	28	.	.	PUNCT
brj-24486	127	1	the	the	DET
brj-24486	127	2	coefficient	coefficient	NOUN
brj-24486	127	3	of	of	ADP
brj-24486	127	4	determination	determination	NOUN
brj-24486	127	5	(	(	PUNCT
brj-24486	127	6	r2	r2	PROPN
brj-24486	127	7	)	)	PUNCT
brj-24486	127	8	,	,	PUNCT
brj-24486	127	9	mean	mean	VERB
brj-24486	127	10	squared	square	VERB
brj-24486	127	11	error	error	NOUN
brj-24486	127	12	(	(	PUNCT
brj-24486	127	13	mse	mse	NOUN
brj-24486	127	14	)	)	PUNCT
brj-24486	127	15	,	,	PUNCT
brj-24486	127	16	and	and	CCONJ
brj-24486	127	17	mean	mean	VERB
brj-24486	127	18	absolute	absolute	ADJ
brj-24486	127	19	error	error	NOUN
brj-24486	127	20	(	(	PUNCT
brj-24486	127	21	mae	mae	PROPN
brj-24486	127	22	)	)	PUNCT
brj-24486	127	23	were	be	AUX
brj-24486	127	24	used	use	VERB
brj-24486	127	25	to	to	PART
brj-24486	127	26	predict	predict	VERB
brj-24486	127	27	the	the	DET
brj-24486	127	28	ann	ann	PROPN
brj-24486	127	29	performance	performance	NOUN
brj-24486	127	30	.	.	PUNCT
brj-24486	128	1	equations	equation	NOUN
brj-24486	128	2	8	8	NUM
brj-24486	128	3	to	to	PART
brj-24486	128	4	10	10	NUM
brj-24486	128	5	include	include	VERB
brj-24486	128	6	the	the	DET
brj-24486	128	7	formulas	formula	NOUN
brj-24486	128	8	for	for	ADP
brj-24486	128	9	computing	compute	VERB
brj-24486	128	10	these	these	DET
brj-24486	128	11	statistical	statistical	ADJ
brj-24486	128	12	characteristics	characteristic	NOUN
brj-24486	128	13	,	,	PUNCT
brj-24486	128	14	𝑀𝐴𝐸	𝑀𝐴𝐸	PROPN
brj-24486	128	15	=	=	SYM
brj-24486	128	16	1	1	NUM
brj-24486	128	17	𝑛	𝑛	PRON
brj-24486	128	18	∑	∑	PROPN
brj-24486	128	19	(	(	PUNCT
brj-24486	128	20	|𝑦𝑒𝑥𝑝.	|𝑦𝑒𝑥𝑝.	ADV
brj-24486	128	21	−	−	PROPN
brj-24486	128	22	𝑦𝑝𝑟𝑒𝑑.|	𝑦𝑝𝑟𝑒𝑑.|	NOUN
brj-24486	128	23	𝑦𝑒𝑥𝑝.	𝑦𝑒𝑥𝑝.	ADJ
brj-24486	128	24	)	)	PUNCT
brj-24486	128	25	100	100	NUM
brj-24486	128	26	𝑛	𝑛	PRON
brj-24486	128	27	𝑖=1	𝑖=1	PROPN
brj-24486	128	28	(	(	PUNCT
brj-24486	128	29	8)	8)	NUM
brj-24486	128	30	peer	peer	NOUN
brj-24486	128	31	-	-	PUNCT
brj-24486	128	32	reviewed	review	VERB
brj-24486	128	33	article	article	NOUN
brj-24486	128	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	128	35	arabi	arabi	PROPN
brj-24486	128	36	&	&	CCONJ
brj-24486	128	37	ghalehno	ghalehno	PROPN
brj-24486	128	38	(	(	PUNCT
brj-24486	128	39	2026	2026	NUM
brj-24486	128	40	)	)	PUNCT
brj-24486	128	41	.	.	PUNCT
brj-24486	129	1	“	"	PUNCT
brj-24486	129	2	wood	wood	NOUN
brj-24486	129	3	fiber	fiber	NOUN
brj-24486	129	4	drying	dry	VERB
brj-24486	129	5	,	,	PUNCT
brj-24486	129	6	”	"	PUNCT
brj-24486	129	7	bioresources	bioresource	NOUN
brj-24486	129	8	21(1	21(1	NUM
brj-24486	129	9	)	)	PUNCT
brj-24486	129	10	,	,	PUNCT
brj-24486	129	11	654	654	NUM
brj-24486	129	12	-	-	SYM
brj-24486	129	13	672	672	NUM
brj-24486	129	14	.	.	PUNCT
brj-24486	130	1	660	660	NUM
brj-24486	130	2	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
brj-24486	130	3	=	=	SYM
brj-24486	130	4	1	1	NUM
brj-24486	130	5	𝑛	𝑛	PRON
brj-24486	130	6	∑(𝑦𝑒𝑥𝑝.	∑(𝑦𝑒𝑥𝑝.	NUM
brj-24486	130	7	−	−	PROPN
brj-24486	130	8	𝑦𝑝𝑟𝑒𝑑.	𝑦𝑝𝑟𝑒𝑑.	NOUN
brj-24486	130	9	)	)	PUNCT
brj-24486	130	10	2	2	NUM
brj-24486	130	11	𝑛	𝑛	PRON
brj-24486	130	12	𝑖=1	𝑖=1	PROPN
brj-24486	130	13	(	(	PUNCT
brj-24486	130	14	9	9	NUM
brj-24486	130	15	)	)	PUNCT
brj-24486	130	16	𝑅2	𝑅2	NOUN
brj-24486	130	17	=	=	NOUN
brj-24486	130	18	1	1	NUM
brj-24486	130	19	−	−	NOUN
brj-24486	130	20	∑	∑	PUNCT
brj-24486	130	21	(	(	PUNCT
brj-24486	130	22	𝑦𝑒𝑥𝑝.	𝑦𝑒𝑥𝑝.	ADJ
brj-24486	130	23	−	−	PROPN
brj-24486	130	24	𝑦𝑝𝑟𝑒𝑑.	𝑦𝑝𝑟𝑒𝑑.	NOUN
brj-24486	130	25	)	)	PUNCT
brj-24486	130	26	2𝑛	2𝑛	PROPN
brj-24486	131	1	𝑖=1	𝑖=1	PUNCT
brj-24486	131	2	∑	∑	PROPN
brj-24486	131	3	(	(	PUNCT
brj-24486	131	4	𝑦𝑒𝑥𝑝.	𝑦𝑒𝑥𝑝.	ADJ
brj-24486	131	5	−	−	PROPN
brj-24486	131	6	𝑦𝑒𝑥𝑝.̅̅	𝑦𝑒𝑥𝑝.̅̅	PROPN
brj-24486	131	7	̅̅	̅̅	PROPN
brj-24486	131	8	̅̅	̅̅	PROPN
brj-24486	131	9	)	)	PUNCT
brj-24486	132	1	2𝑛	2𝑛	PROPN
brj-24486	132	2	𝑖=1	𝑖=1	PUNCT
brj-24486	133	1	(	(	PUNCT
brj-24486	133	2	10	10	NUM
brj-24486	133	3	)	)	PUNCT
brj-24486	133	4	where	where	SCONJ
brj-24486	133	5	yexp	yexp	PROPN
brj-24486	133	6	is	be	AUX
brj-24486	133	7	the	the	DET
brj-24486	133	8	actual	actual	ADJ
brj-24486	133	9	data	datum	NOUN
brj-24486	133	10	value	value	NOUN
brj-24486	133	11	,	,	PUNCT
brj-24486	133	12	ypred	ypred	ADJ
brj-24486	133	13	is	be	AUX
brj-24486	133	14	the	the	DET
brj-24486	133	15	predicted	predict	VERB
brj-24486	133	16	data	data	NOUN
brj-24486	133	17	value	value	NOUN
brj-24486	133	18	,	,	PUNCT
brj-24486	133	19	ypred	ypre	VERB
brj-24486	133	20	with	with	ADP
brj-24486	133	21	a	a	DET
brj-24486	133	22	line	line	NOUN
brj-24486	133	23	above	above	ADP
brj-24486	133	24	it	it	PRON
brj-24486	133	25	is	be	AUX
brj-24486	133	26	the	the	DET
brj-24486	133	27	average	average	NOUN
brj-24486	133	28	of	of	ADP
brj-24486	133	29	the	the	DET
brj-24486	133	30	actual	actual	ADJ
brj-24486	133	31	values	value	NOUN
brj-24486	133	32	,	,	PUNCT
brj-24486	133	33	and	and	CCONJ
brj-24486	133	34	n	n	PRON
brj-24486	133	35	is	be	AUX
brj-24486	133	36	the	the	DET
brj-24486	133	37	number	number	NOUN
brj-24486	133	38	of	of	ADP
brj-24486	133	39	data	datum	NOUN
brj-24486	133	40	.	.	PUNCT
brj-24486	134	1	results	result	NOUN
brj-24486	134	2	and	and	CCONJ
brj-24486	134	3	discussion	discussion	NOUN
brj-24486	134	4	drying	dry	VERB
brj-24486	134	5	curves	curve	NOUN
brj-24486	134	6	figure	figure	NOUN
brj-24486	134	7	3	3	NUM
brj-24486	134	8	depicts	depict	VERB
brj-24486	134	9	the	the	DET
brj-24486	134	10	drying	dry	VERB
brj-24486	134	11	behavior	behavior	NOUN
brj-24486	134	12	of	of	ADP
brj-24486	134	13	wood	wood	NOUN
brj-24486	134	14	fiber	fiber	NOUN
brj-24486	134	15	using	use	VERB
brj-24486	134	16	a	a	DET
brj-24486	134	17	moisture	moisture	NOUN
brj-24486	134	18	analyzer	analyzer	NOUN
brj-24486	134	19	at	at	ADP
brj-24486	134	20	105	105	NUM
brj-24486	134	21	,	,	PUNCT
brj-24486	134	22	120	120	NUM
brj-24486	134	23	,	,	PUNCT
brj-24486	134	24	and	and	CCONJ
brj-24486	134	25	130	130	NUM
brj-24486	134	26	°	°	NOUN
brj-24486	134	27	c	c	NOUN
brj-24486	134	28	.	.	PUNCT
brj-24486	135	1	accordingly	accordingly	ADV
brj-24486	135	2	,	,	PUNCT
brj-24486	135	3	reaching	reach	VERB
brj-24486	135	4	the	the	DET
brj-24486	135	5	target	target	NOUN
brj-24486	135	6	moisture	moisture	NOUN
brj-24486	135	7	content	content	NOUN
brj-24486	135	8	from	from	ADP
brj-24486	135	9	170	170	NUM
brj-24486	135	10	%	%	NOUN
brj-24486	135	11	(	(	PUNCT
brj-24486	135	12	based	base	VERB
brj-24486	135	13	on	on	ADP
brj-24486	135	14	dry	dry	ADJ
brj-24486	135	15	weight	weight	NOUN
brj-24486	135	16	)	)	PUNCT
brj-24486	135	17	to	to	ADP
brj-24486	135	18	final	final	ADJ
brj-24486	135	19	moisture	moisture	NOUN
brj-24486	135	20	content	content	NOUN
brj-24486	135	21	(	(	PUNCT
brj-24486	135	22	near	near	ADP
brj-24486	135	23	zero	zero	NUM
brj-24486	135	24	)	)	PUNCT
brj-24486	135	25	took	take	VERB
brj-24486	135	26	18	18	NUM
brj-24486	135	27	,	,	PUNCT
brj-24486	135	28	14	14	NUM
brj-24486	135	29	,	,	PUNCT
brj-24486	135	30	and	and	CCONJ
brj-24486	135	31	12	12	NUM
brj-24486	135	32	min	min	NOUN
brj-24486	135	33	for	for	ADP
brj-24486	135	34	105	105	NUM
brj-24486	135	35	,	,	PUNCT
brj-24486	135	36	120	120	NUM
brj-24486	135	37	,	,	PUNCT
brj-24486	135	38	and	and	CCONJ
brj-24486	135	39	135	135	NUM
brj-24486	135	40	°	°	NOUN
brj-24486	135	41	c	c	NOUN
brj-24486	135	42	,	,	PUNCT
brj-24486	135	43	respectively	respectively	ADV
brj-24486	135	44	.	.	PUNCT
brj-24486	136	1	as	as	SCONJ
brj-24486	136	2	shown	show	VERB
brj-24486	136	3	in	in	ADP
brj-24486	136	4	fig	fig	NOUN
brj-24486	136	5	.	.	PUNCT
brj-24486	137	1	3	3	NUM
brj-24486	137	2	,	,	PUNCT
brj-24486	137	3	the	the	DET
brj-24486	137	4	increase	increase	NOUN
brj-24486	137	5	in	in	ADP
brj-24486	137	6	the	the	DET
brj-24486	137	7	drying	dry	VERB
brj-24486	137	8	temperatures	temperature	NOUN
brj-24486	137	9	significantly	significantly	ADV
brj-24486	137	10	decreased	decrease	VERB
brj-24486	137	11	the	the	DET
brj-24486	137	12	drying	dry	VERB
brj-24486	137	13	times	time	NOUN
brj-24486	137	14	.	.	PUNCT
brj-24486	138	1	fig	fig	NOUN
brj-24486	138	2	.	.	PUNCT
brj-24486	139	1	3	3	X
brj-24486	139	2	.	.	X
brj-24486	139	3	moisture	moisture	NOUN
brj-24486	139	4	content	content	NOUN
brj-24486	139	5	versus	versus	ADP
brj-24486	139	6	drying	dry	VERB
brj-24486	139	7	time	time	NOUN
brj-24486	139	8	at	at	ADP
brj-24486	139	9	different	different	ADJ
brj-24486	139	10	halogen	halogen	NOUN
brj-24486	139	11	drying	dry	VERB
brj-24486	139	12	temperature	temperature	NOUN
brj-24486	139	13	in	in	ADP
brj-24486	139	14	the	the	DET
brj-24486	139	15	ohaus	ohaus	NOUN
brj-24486	139	16	halogen	halogen	NOUN
brj-24486	139	17	moisture	moisture	NOUN
brj-24486	139	18	analyzer	analyzer	PROPN
brj-24486	139	19	mb	mb	PROPN
brj-24486	139	20	series	series	PROPN
brj-24486	139	21	,	,	PUNCT
brj-24486	139	22	the	the	DET
brj-24486	139	23	halogen	halogen	NOUN
brj-24486	139	24	radiator	radiator	NOUN
brj-24486	139	25	emits	emit	VERB
brj-24486	139	26	infrared	infrared	ADJ
brj-24486	139	27	radiation	radiation	NOUN
brj-24486	139	28	(	(	PUNCT
brj-24486	139	29	ir	ir	NOUN
brj-24486	139	30	)	)	PUNCT
brj-24486	139	31	in	in	ADP
brj-24486	139	32	the	the	DET
brj-24486	139	33	short	short	ADJ
brj-24486	139	34	wavelength	wavelength	NOUN
brj-24486	139	35	range	range	NOUN
brj-24486	139	36	of	of	ADP
brj-24486	139	37	0.75	0.75	NUM
brj-24486	139	38	to	to	ADP
brj-24486	139	39	1.5	1.5	NUM
brj-24486	139	40	µm	µm	ADP
brj-24486	139	41	(	(	PUNCT
brj-24486	139	42	near	near	ADV
brj-24486	139	43	-	-	PUNCT
brj-24486	139	44	infrared	infrare	VERB
brj-24486	139	45	)	)	PUNCT
brj-24486	139	46	.	.	PUNCT
brj-24486	140	1	when	when	SCONJ
brj-24486	140	2	the	the	DET
brj-24486	140	3	halogen	halogen	NOUN
brj-24486	140	4	lamp	lamp	NOUN
brj-24486	140	5	is	be	AUX
brj-24486	140	6	radiated	radiate	VERB
brj-24486	140	7	toward	toward	ADP
brj-24486	140	8	the	the	DET
brj-24486	140	9	product	product	NOUN
brj-24486	140	10	,	,	PUNCT
brj-24486	140	11	it	it	PRON
brj-24486	140	12	is	be	AUX
brj-24486	140	13	strongly	strongly	ADV
brj-24486	140	14	heated	heated	ADJ
brj-24486	140	15	and	and	CCONJ
brj-24486	140	16	the	the	DET
brj-24486	140	17	thermal	thermal	ADJ
brj-24486	140	18	gradient	gradient	NOUN
brj-24486	140	19	within	within	ADP
brj-24486	140	20	the	the	DET
brj-24486	140	21	material	material	NOUN
brj-24486	140	22	significantly	significantly	ADV
brj-24486	140	23	increases	increase	VERB
brj-24486	140	24	in	in	ADP
brj-24486	140	25	a	a	DET
brj-24486	140	26	short	short	ADJ
brj-24486	140	27	period	period	NOUN
brj-24486	140	28	.	.	PUNCT
brj-24486	141	1	since	since	SCONJ
brj-24486	141	2	the	the	DET
brj-24486	141	3	halogen	halogen	PROPN
brj-24486	141	4	radiant	radiant	ADJ
brj-24486	141	5	energy	energy	NOUN
brj-24486	141	6	easily	easily	ADV
brj-24486	141	7	passes	pass	VERB
brj-24486	141	8	through	through	ADP
brj-24486	141	9	air	air	NOUN
brj-24486	141	10	without	without	ADP
brj-24486	141	11	heating	heat	VERB
brj-24486	141	12	the	the	DET
brj-24486	141	13	ambient	ambient	ADJ
brj-24486	141	14	air	air	NOUN
brj-24486	141	15	,	,	PUNCT
brj-24486	141	16	this	this	DET
brj-24486	141	17	energy	energy	NOUN
brj-24486	141	18	just	just	ADV
brj-24486	141	19	heats	heat	VERB
brj-24486	141	20	the	the	DET
brj-24486	141	21	product	product	NOUN
brj-24486	141	22	.	.	PUNCT
brj-24486	142	1	thus	thus	ADV
brj-24486	142	2	,	,	PUNCT
brj-24486	142	3	the	the	DET
brj-24486	142	4	internal	internal	ADJ
brj-24486	142	5	part	part	NOUN
brj-24486	142	6	of	of	ADP
brj-24486	142	7	the	the	DET
brj-24486	142	8	materials	material	NOUN
brj-24486	142	9	will	will	AUX
brj-24486	142	10	be	be	AUX
brj-24486	142	11	warmer	warm	ADJ
brj-24486	142	12	than	than	ADP
brj-24486	142	13	the	the	DET
brj-24486	142	14	surrounding	surround	VERB
brj-24486	142	15	air	air	NOUN
brj-24486	142	16	and	and	CCONJ
brj-24486	142	17	the	the	DET
brj-24486	142	18	rate	rate	NOUN
brj-24486	142	19	of	of	ADP
brj-24486	142	20	heat	heat	NOUN
brj-24486	142	21	transfer	transfer	NOUN
brj-24486	142	22	will	will	AUX
brj-24486	142	23	be	be	AUX
brj-24486	142	24	greater	great	ADJ
brj-24486	142	25	as	as	ADP
brj-24486	142	26	compared	compare	VERB
brj-24486	142	27	to	to	ADP
brj-24486	142	28	the	the	DET
brj-24486	142	29	hot	hot	ADJ
brj-24486	142	30	airdrying	airdrying	NOUN
brj-24486	142	31	technique	technique	NOUN
brj-24486	142	32	(	(	PUNCT
brj-24486	142	33	younis	younis	NOUN
brj-24486	142	34	et	et	PROPN
brj-24486	142	35	al	al	PROPN
brj-24486	142	36	.	.	PROPN
brj-24486	142	37	2018	2018	NUM
brj-24486	142	38	;	;	PUNCT
brj-24486	142	39	huang	huang	PROPN
brj-24486	142	40	et	et	PROPN
brj-24486	142	41	al	al	PROPN
brj-24486	142	42	.	.	PROPN
brj-24486	142	43	2021	2021	NUM
brj-24486	142	44	)	)	PUNCT
brj-24486	142	45	.	.	PUNCT
brj-24486	143	1	therefore	therefore	ADV
brj-24486	143	2	,	,	PUNCT
brj-24486	143	3	ir	ir	NOUN
brj-24486	143	4	drying	dry	VERB
brj-24486	143	5	technology	technology	NOUN
brj-24486	143	6	has	have	VERB
brj-24486	143	7	the	the	DET
brj-24486	143	8	advantages	advantage	NOUN
brj-24486	143	9	of	of	ADP
brj-24486	143	10	high	high	ADJ
brj-24486	143	11	energy	energy	NOUN
brj-24486	143	12	efficiency	efficiency	NOUN
brj-24486	143	13	,	,	PUNCT
brj-24486	143	14	short	short	ADJ
brj-24486	143	15	drying	dry	VERB
brj-24486	143	16	time	time	NOUN
brj-24486	143	17	,	,	PUNCT
brj-24486	143	18	uniform	uniform	ADJ
brj-24486	143	19	heating	heating	NOUN
brj-24486	143	20	of	of	ADP
brj-24486	143	21	materials	material	NOUN
brj-24486	143	22	,	,	PUNCT
brj-24486	143	23	and	and	CCONJ
brj-24486	143	24	low	low	ADJ
brj-24486	143	25	energy	energy	NOUN
brj-24486	143	26	costs	cost	NOUN
brj-24486	143	27	(	(	PUNCT
brj-24486	143	28	huang	huang	PROPN
brj-24486	143	29	et	et	PROPN
brj-24486	143	30	al	al	PROPN
brj-24486	143	31	.	.	PROPN
brj-24486	143	32	2021	2021	NUM
brj-24486	143	33	)	)	PUNCT
brj-24486	143	34	.	.	PUNCT
brj-24486	144	1	0	0	NUM
brj-24486	144	2	0.5	0.5	NUM
brj-24486	144	3	1	1	NUM
brj-24486	144	4	1.5	1.5	NUM
brj-24486	144	5	2	2	NUM
brj-24486	144	6	2.5	2.5	NUM
brj-24486	144	7	0	0	NUM
brj-24486	144	8	200	200	NUM
brj-24486	144	9	400	400	NUM
brj-24486	144	10	600	600	NUM
brj-24486	144	11	800	800	NUM
brj-24486	144	12	1000	1000	NUM
brj-24486	144	13	1200	1200	NUM
brj-24486	144	14	1400	1400	NUM
brj-24486	144	15	1600	1600	NUM
brj-24486	144	16	m	m	NOUN
brj-24486	144	17	o	o	NOUN
brj-24486	144	18	is	be	AUX
brj-24486	144	19	tu	tu	PROPN
brj-24486	144	20	re	re	ADP
brj-24486	144	21	c	c	X
brj-24486	144	22	o	o	PROPN
brj-24486	144	23	n	n	X
brj-24486	144	24	te	te	INTJ
brj-24486	144	25	n	n	X
brj-24486	144	26	t	t	PROPN
brj-24486	144	27	(	(	PUNCT
brj-24486	144	28	k	k	PROPN
brj-24486	144	29	g	g	PROPN
brj-24486	144	30	w	w	PROPN
brj-24486	144	31	a	a	PRON
brj-24486	144	32	te	te	ADP
brj-24486	144	33	r	r	NOUN
brj-24486	144	34	/	/	SYM
brj-24486	145	1	k	k	NOUN
brj-24486	145	2	g	g	PROPN
brj-24486	145	3	d	d	X
brj-24486	145	4	ry	ry	NOUN
brj-24486	145	5	m	m	VERB
brj-24486	145	6	a	a	DET
brj-24486	145	7	te	te	X
brj-24486	145	8	ri	ri	PROPN
brj-24486	145	9	a	a	DET
brj-24486	145	10	ls	ls	PROPN
brj-24486	145	11	)	)	PUNCT
brj-24486	145	12	t	t	PROPN
brj-24486	145	13	(	(	PUNCT
brj-24486	145	14	s	s	NOUN
brj-24486	145	15	)	)	PUNCT
brj-24486	145	16	105	105	NUM
brj-24486	145	17	c	c	NOUN
brj-24486	145	18	120	120	NUM
brj-24486	145	19	c	c	NOUN
brj-24486	145	20	135	135	NUM
brj-24486	145	21	c	c	NOUN
brj-24486	145	22	peer	peer	NOUN
brj-24486	145	23	-	-	PUNCT
brj-24486	145	24	reviewed	review	VERB
brj-24486	145	25	article	article	NOUN
brj-24486	145	26	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	146	1	arabi	arabi	PROPN
brj-24486	146	2	&	&	CCONJ
brj-24486	146	3	ghalehno	ghalehno	PROPN
brj-24486	146	4	(	(	PUNCT
brj-24486	146	5	2026	2026	NUM
brj-24486	146	6	)	)	PUNCT
brj-24486	146	7	.	.	PUNCT
brj-24486	147	1	“	"	PUNCT
brj-24486	147	2	wood	wood	NOUN
brj-24486	147	3	fiber	fiber	NOUN
brj-24486	147	4	drying	dry	VERB
brj-24486	147	5	,	,	PUNCT
brj-24486	147	6	”	"	PUNCT
brj-24486	147	7	bioresources	bioresource	NOUN
brj-24486	147	8	21(1	21(1	NUM
brj-24486	147	9	)	)	PUNCT
brj-24486	147	10	,	,	PUNCT
brj-24486	147	11	654	654	NUM
brj-24486	147	12	-	-	SYM
brj-24486	147	13	672	672	NUM
brj-24486	147	14	.	.	PUNCT
brj-24486	147	15	661	661	NUM
brj-24486	147	16	the	the	DET
brj-24486	147	17	changes	change	NOUN
brj-24486	147	18	in	in	ADP
brj-24486	147	19	drying	dry	VERB
brj-24486	147	20	rates	rate	NOUN
brj-24486	147	21	versus	versus	ADP
brj-24486	147	22	drying	dry	VERB
brj-24486	147	23	time	time	NOUN
brj-24486	147	24	are	be	AUX
brj-24486	147	25	shown	show	VERB
brj-24486	147	26	in	in	ADP
brj-24486	147	27	fig	fig	NOUN
brj-24486	147	28	.	.	PUNCT
brj-24486	148	1	4	4	X
brj-24486	148	2	.	.	X
brj-24486	148	3	accordingly	accordingly	ADV
brj-24486	148	4	,	,	PUNCT
brj-24486	148	5	the	the	DET
brj-24486	148	6	drying	dry	VERB
brj-24486	148	7	rate	rate	NOUN
brj-24486	148	8	increased	increase	VERB
brj-24486	148	9	with	with	ADP
brj-24486	148	10	an	an	DET
brj-24486	148	11	increase	increase	NOUN
brj-24486	148	12	in	in	ADP
brj-24486	148	13	drying	dry	VERB
brj-24486	148	14	temperature	temperature	NOUN
brj-24486	148	15	.	.	PUNCT
brj-24486	149	1	also	also	ADV
brj-24486	149	2	,	,	PUNCT
brj-24486	149	3	the	the	DET
brj-24486	149	4	drying	dry	VERB
brj-24486	149	5	speed	speed	NOUN
brj-24486	149	6	was	be	AUX
brj-24486	149	7	quick	quick	ADJ
brj-24486	149	8	at	at	ADP
brj-24486	149	9	the	the	DET
brj-24486	149	10	beginning	beginning	NOUN
brj-24486	149	11	of	of	ADP
brj-24486	149	12	the	the	DET
brj-24486	149	13	drying	dry	VERB
brj-24486	149	14	operation	operation	NOUN
brj-24486	149	15	(	(	PUNCT
brj-24486	149	16	especially	especially	ADV
brj-24486	149	17	at	at	ADP
brj-24486	149	18	a	a	DET
brj-24486	149	19	higher	high	ADJ
brj-24486	149	20	temperature	temperature	NOUN
brj-24486	149	21	)	)	PUNCT
brj-24486	149	22	,	,	PUNCT
brj-24486	149	23	but	but	CCONJ
brj-24486	149	24	the	the	DET
brj-24486	149	25	drying	dry	VERB
brj-24486	149	26	rate	rate	NOUN
brj-24486	149	27	was	be	AUX
brj-24486	149	28	slowed	slow	VERB
brj-24486	149	29	with	with	ADP
brj-24486	149	30	passing	pass	VERB
brj-24486	149	31	time	time	NOUN
brj-24486	149	32	.	.	PUNCT
brj-24486	150	1	this	this	PRON
brj-24486	150	2	is	be	AUX
brj-24486	150	3	due	due	ADJ
brj-24486	150	4	to	to	ADP
brj-24486	150	5	a	a	DET
brj-24486	150	6	lack	lack	NOUN
brj-24486	150	7	of	of	ADP
brj-24486	150	8	sufficient	sufficient	ADJ
brj-24486	150	9	moisture	moisture	NOUN
brj-24486	150	10	at	at	ADP
brj-24486	150	11	the	the	DET
brj-24486	150	12	end	end	NOUN
brj-24486	150	13	point	point	NOUN
brj-24486	150	14	of	of	ADP
brj-24486	150	15	the	the	DET
brj-24486	150	16	drying	dry	VERB
brj-24486	150	17	process	process	NOUN
brj-24486	150	18	.	.	PUNCT
brj-24486	151	1	fig	fig	NOUN
brj-24486	151	2	.	.	PUNCT
brj-24486	152	1	4	4	X
brj-24486	152	2	.	.	X
brj-24486	152	3	drying	dry	VERB
brj-24486	152	4	rate	rate	NOUN
brj-24486	152	5	versus	versus	ADP
brj-24486	152	6	drying	dry	VERB
brj-24486	152	7	time	time	NOUN
brj-24486	152	8	at	at	ADP
brj-24486	152	9	different	different	ADJ
brj-24486	152	10	halogen	halogen	NOUN
brj-24486	152	11	drying	dry	VERB
brj-24486	152	12	temperature	temperature	NOUN
brj-24486	152	13	the	the	DET
brj-24486	152	14	relationship	relationship	NOUN
brj-24486	152	15	between	between	ADP
brj-24486	152	16	drying	dry	VERB
brj-24486	152	17	rate	rate	NOUN
brj-24486	152	18	and	and	CCONJ
brj-24486	152	19	moisture	moisture	NOUN
brj-24486	152	20	content	content	NOUN
brj-24486	152	21	at	at	ADP
brj-24486	152	22	different	different	ADJ
brj-24486	152	23	drying	dry	VERB
brj-24486	152	24	temperatures	temperature	NOUN
brj-24486	152	25	is	be	AUX
brj-24486	152	26	shown	show	VERB
brj-24486	152	27	in	in	ADP
brj-24486	152	28	fig	fig	NOUN
brj-24486	152	29	.	.	PUNCT
brj-24486	153	1	5	5	X
brj-24486	153	2	.	.	X
brj-24486	153	3	the	the	DET
brj-24486	153	4	three	three	NUM
brj-24486	153	5	drying	dry	VERB
brj-24486	153	6	periods	period	NOUN
brj-24486	153	7	were	be	AUX
brj-24486	153	8	observed	observe	VERB
brj-24486	153	9	,	,	PUNCT
brj-24486	153	10	including	include	VERB
brj-24486	153	11	a	a	DET
brj-24486	153	12	preheating	preheating	NOUN
brj-24486	153	13	period	period	NOUN
brj-24486	153	14	(	(	PUNCT
brj-24486	153	15	a	a	NOUN
brj-24486	153	16	)	)	PUNCT
brj-24486	153	17	and	and	CCONJ
brj-24486	153	18	the	the	DET
brj-24486	153	19	first	first	ADJ
brj-24486	153	20	and	and	CCONJ
brj-24486	153	21	second	second	ADJ
brj-24486	153	22	drying	dry	VERB
brj-24486	153	23	rate	rate	NOUN
brj-24486	153	24	periods	period	NOUN
brj-24486	153	25	(	(	PUNCT
brj-24486	153	26	b	b	NOUN
brj-24486	153	27	and	and	CCONJ
brj-24486	153	28	c	c	NOUN
brj-24486	153	29	)	)	PUNCT
brj-24486	153	30	.	.	PUNCT
brj-24486	154	1	a	a	DET
brj-24486	154	2	constant	constant	ADJ
brj-24486	154	3	drying	dry	VERB
brj-24486	154	4	rate	rate	NOUN
brj-24486	154	5	was	be	AUX
brj-24486	154	6	not	not	PART
brj-24486	154	7	found	find	VERB
brj-24486	154	8	;	;	PUNCT
brj-24486	154	9	however	however	ADV
brj-24486	154	10	,	,	PUNCT
brj-24486	154	11	the	the	DET
brj-24486	154	12	initial	initial	ADJ
brj-24486	154	13	moisture	moisture	NOUN
brj-24486	154	14	content	content	NOUN
brj-24486	154	15	of	of	ADP
brj-24486	154	16	wood	wood	NOUN
brj-24486	154	17	fibers	fiber	NOUN
brj-24486	154	18	was	be	AUX
brj-24486	154	19	about	about	ADV
brj-24486	154	20	170	170	NUM
brj-24486	154	21	%	%	NOUN
brj-24486	154	22	(	(	PUNCT
brj-24486	154	23	based	base	VERB
brj-24486	154	24	on	on	ADP
brj-24486	154	25	dry	dry	ADJ
brj-24486	154	26	weight	weight	NOUN
brj-24486	154	27	)	)	PUNCT
brj-24486	154	28	.	.	PUNCT
brj-24486	155	1	the	the	DET
brj-24486	155	2	morphological	morphological	ADJ
brj-24486	155	3	structure	structure	NOUN
brj-24486	155	4	of	of	ADP
brj-24486	155	5	fibers	fiber	NOUN
brj-24486	155	6	and	and	CCONJ
brj-24486	155	7	drying	dry	VERB
brj-24486	155	8	techniques	technique	NOUN
brj-24486	155	9	can	can	AUX
brj-24486	155	10	significantly	significantly	ADV
brj-24486	155	11	affect	affect	VERB
brj-24486	155	12	the	the	DET
brj-24486	155	13	drying	dry	VERB
brj-24486	155	14	process	process	NOUN
brj-24486	155	15	.	.	PUNCT
brj-24486	156	1	when	when	SCONJ
brj-24486	156	2	wood	wood	NOUN
brj-24486	156	3	fibers	fiber	NOUN
brj-24486	156	4	are	be	AUX
brj-24486	156	5	heated	heat	VERB
brj-24486	156	6	quickly	quickly	ADV
brj-24486	156	7	by	by	ADP
brj-24486	156	8	the	the	DET
brj-24486	156	9	moisture	moisture	NOUN
brj-24486	156	10	analyzer	analyzer	NOUN
brj-24486	156	11	,	,	PUNCT
brj-24486	156	12	many	many	ADJ
brj-24486	156	13	morphological	morphological	ADJ
brj-24486	156	14	changes	change	NOUN
brj-24486	156	15	might	might	AUX
brj-24486	156	16	occur	occur	VERB
brj-24486	156	17	in	in	ADP
brj-24486	156	18	their	their	PRON
brj-24486	156	19	structures	structure	NOUN
brj-24486	156	20	.	.	PUNCT
brj-24486	157	1	the	the	DET
brj-24486	157	2	microstructure	microstructure	ADJ
brj-24486	157	3	and	and	CCONJ
brj-24486	157	4	rheological	rheological	ADJ
brj-24486	157	5	behavior	behavior	NOUN
brj-24486	157	6	of	of	ADP
brj-24486	157	7	the	the	DET
brj-24486	157	8	wood	wood	NOUN
brj-24486	157	9	cell	cell	NOUN
brj-24486	157	10	wall	wall	NOUN
brj-24486	157	11	are	be	AUX
brj-24486	157	12	closely	closely	ADV
brj-24486	157	13	intertwined	intertwine	VERB
brj-24486	157	14	with	with	ADP
brj-24486	157	15	its	its	PRON
brj-24486	157	16	moisture	moisture	NOUN
brj-24486	157	17	properties	property	NOUN
brj-24486	157	18	.	.	PUNCT
brj-24486	158	1	external	external	ADJ
brj-24486	158	2	layers	layer	NOUN
brj-24486	158	3	of	of	ADP
brj-24486	158	4	wood	wood	NOUN
brj-24486	158	5	fibers	fiber	NOUN
brj-24486	158	6	shrink	shrink	VERB
brj-24486	158	7	rapidly	rapidly	ADV
brj-24486	158	8	.	.	PUNCT
brj-24486	159	1	first	first	ADV
brj-24486	159	2	,	,	PUNCT
brj-24486	159	3	a	a	DET
brj-24486	159	4	thin	thin	ADJ
brj-24486	159	5	and	and	CCONJ
brj-24486	159	6	dry	dry	ADJ
brj-24486	159	7	shell	shell	NOUN
brj-24486	159	8	are	be	AUX
brj-24486	159	9	formed	form	VERB
brj-24486	159	10	near	near	ADP
brj-24486	159	11	the	the	DET
brj-24486	159	12	surface	surface	NOUN
brj-24486	159	13	of	of	ADP
brj-24486	159	14	fibers	fiber	NOUN
brj-24486	159	15	,	,	PUNCT
brj-24486	159	16	which	which	PRON
brj-24486	159	17	creates	create	VERB
brj-24486	159	18	barriers	barrier	NOUN
brj-24486	159	19	for	for	ADP
brj-24486	159	20	migration	migration	NOUN
brj-24486	159	21	of	of	ADP
brj-24486	159	22	moisture	moisture	NOUN
brj-24486	159	23	from	from	ADP
brj-24486	159	24	internal	internal	ADJ
brj-24486	159	25	layers	layer	NOUN
brj-24486	159	26	to	to	ADP
brj-24486	159	27	the	the	DET
brj-24486	159	28	surface	surface	NOUN
brj-24486	159	29	(	(	PUNCT
brj-24486	159	30	li	li	PROPN
brj-24486	159	31	and	and	CCONJ
brj-24486	159	32	zhao	zhao	PROPN
brj-24486	159	33	2020	2020	NUM
brj-24486	159	34	)	)	PUNCT
brj-24486	159	35	.	.	PUNCT
brj-24486	160	1	due	due	ADP
brj-24486	160	2	to	to	ADP
brj-24486	160	3	these	these	DET
brj-24486	160	4	morphological	morphological	ADJ
brj-24486	160	5	interactions	interaction	NOUN
brj-24486	160	6	,	,	PUNCT
brj-24486	160	7	even	even	ADV
brj-24486	160	8	if	if	SCONJ
brj-24486	160	9	there	there	PRON
brj-24486	160	10	is	be	VERB
brj-24486	160	11	a	a	DET
brj-24486	160	12	lot	lot	NOUN
brj-24486	160	13	of	of	ADP
brj-24486	160	14	free	free	ADJ
brj-24486	160	15	water	water	NOUN
brj-24486	160	16	in	in	ADP
brj-24486	160	17	the	the	DET
brj-24486	160	18	bottom	bottom	ADJ
brj-24486	160	19	layers	layer	NOUN
brj-24486	160	20	,	,	PUNCT
brj-24486	160	21	the	the	DET
brj-24486	160	22	rate	rate	NOUN
brj-24486	160	23	of	of	ADP
brj-24486	160	24	migration	migration	NOUN
brj-24486	160	25	of	of	ADP
brj-24486	160	26	water	water	NOUN
brj-24486	160	27	molecules	molecule	NOUN
brj-24486	160	28	from	from	ADP
brj-24486	160	29	the	the	DET
brj-24486	160	30	interior	interior	NOUN
brj-24486	160	31	to	to	ADP
brj-24486	160	32	the	the	DET
brj-24486	160	33	surface	surface	NOUN
brj-24486	160	34	is	be	AUX
brj-24486	160	35	less	less	ADJ
brj-24486	160	36	than	than	ADP
brj-24486	160	37	the	the	DET
brj-24486	160	38	rate	rate	NOUN
brj-24486	160	39	of	of	ADP
brj-24486	160	40	vaporization	vaporization	NOUN
brj-24486	160	41	from	from	ADP
brj-24486	160	42	the	the	DET
brj-24486	160	43	surface	surface	NOUN
brj-24486	160	44	into	into	ADP
brj-24486	160	45	the	the	DET
brj-24486	160	46	environment	environment	NOUN
brj-24486	160	47	.	.	PUNCT
brj-24486	161	1	therefore	therefore	ADV
brj-24486	161	2	,	,	PUNCT
brj-24486	161	3	it	it	PRON
brj-24486	161	4	is	be	AUX
brj-24486	161	5	extremely	extremely	ADV
brj-24486	161	6	difficult	difficult	ADJ
brj-24486	161	7	to	to	PART
brj-24486	161	8	find	find	VERB
brj-24486	161	9	a	a	DET
brj-24486	161	10	constant	constant	ADJ
brj-24486	161	11	drying	dry	VERB
brj-24486	161	12	rate	rate	NOUN
brj-24486	161	13	period	period	NOUN
brj-24486	161	14	during	during	ADP
brj-24486	161	15	the	the	DET
brj-24486	161	16	drying	dry	VERB
brj-24486	161	17	process	process	NOUN
brj-24486	161	18	of	of	ADP
brj-24486	161	19	wood	wood	NOUN
brj-24486	161	20	fibers	fiber	NOUN
brj-24486	161	21	.	.	PUNCT
brj-24486	162	1	for	for	ADP
brj-24486	162	2	lignocellulosic	lignocellulosic	ADJ
brj-24486	162	3	materials	material	NOUN
brj-24486	162	4	,	,	PUNCT
brj-24486	162	5	constant	constant	ADJ
brj-24486	162	6	drying	dry	VERB
brj-24486	162	7	rate	rate	NOUN
brj-24486	162	8	periods	period	NOUN
brj-24486	162	9	are	be	AUX
brj-24486	162	10	often	often	ADV
brj-24486	162	11	extremely	extremely	ADV
brj-24486	162	12	short	short	ADJ
brj-24486	162	13	or	or	CCONJ
brj-24486	162	14	not	not	PART
brj-24486	162	15	seen	see	VERB
brj-24486	162	16	at	at	ADV
brj-24486	162	17	all	all	ADV
brj-24486	162	18	(	(	PUNCT
brj-24486	162	19	zarea	zarea	PROPN
brj-24486	162	20	hosseinabadi	hosseinabadi	NOUN
brj-24486	162	21	et	et	PROPN
brj-24486	162	22	al	al	PROPN
brj-24486	162	23	.	.	PROPN
brj-24486	162	24	2012	2012	NUM
brj-24486	162	25	;	;	PUNCT
brj-24486	162	26	arabi	arabi	PROPN
brj-24486	162	27	et	et	PROPN
brj-24486	162	28	al	al	PROPN
brj-24486	162	29	.	.	PROPN
brj-24486	162	30	2017	2017	NUM
brj-24486	162	31	;	;	PUNCT
brj-24486	162	32	kong	kong	PROPN
brj-24486	162	33	et	et	PROPN
brj-24486	162	34	al	al	PROPN
brj-24486	162	35	.	.	PROPN
brj-24486	162	36	2020	2020	NUM
brj-24486	162	37	)	)	PUNCT
brj-24486	162	38	.	.	PUNCT
brj-24486	163	1	the	the	DET
brj-24486	163	2	heat	heat	NOUN
brj-24486	163	3	and	and	CCONJ
brj-24486	163	4	mass	mass	NOUN
brj-24486	163	5	transfer	transfer	NOUN
brj-24486	163	6	in	in	ADP
brj-24486	163	7	the	the	DET
brj-24486	163	8	drying	dry	VERB
brj-24486	163	9	process	process	NOUN
brj-24486	163	10	of	of	ADP
brj-24486	163	11	a	a	DET
brj-24486	163	12	solid	solid	ADJ
brj-24486	163	13	material	material	NOUN
brj-24486	163	14	can	can	AUX
brj-24486	163	15	be	be	AUX
brj-24486	163	16	defined	define	VERB
brj-24486	163	17	based	base	VERB
brj-24486	163	18	on	on	ADP
brj-24486	163	19	the	the	DET
brj-24486	163	20	biot	biot	ADJ
brj-24486	163	21	number	number	NOUN
brj-24486	163	22	(	(	PUNCT
brj-24486	163	23	bi	bi	NOUN
brj-24486	163	24	)	)	PUNCT
brj-24486	163	25	,	,	PUNCT
brj-24486	163	26	which	which	PRON
brj-24486	163	27	is	be	AUX
brj-24486	163	28	a	a	DET
brj-24486	163	29	dimensionless	dimensionless	ADJ
brj-24486	163	30	number	number	NOUN
brj-24486	163	31	that	that	PRON
brj-24486	163	32	represents	represent	VERB
brj-24486	163	33	the	the	DET
brj-24486	163	34	ratio	ratio	NOUN
brj-24486	163	35	of	of	ADP
brj-24486	163	36	the	the	DET
brj-24486	163	37	resistance	resistance	NOUN
brj-24486	163	38	to	to	ADP
brj-24486	163	39	heat	heat	NOUN
brj-24486	163	40	transfer	transfer	NOUN
brj-24486	163	41	from	from	ADP
brj-24486	163	42	the	the	DET
brj-24486	163	43	inside	inside	NOUN
brj-24486	163	44	of	of	ADP
brj-24486	163	45	the	the	DET
brj-24486	163	46	body	body	NOUN
brj-24486	163	47	to	to	ADP
brj-24486	163	48	the	the	DET
brj-24486	163	49	surface	surface	NOUN
brj-24486	163	50	(	(	PUNCT
brj-24486	163	51	sander	sander	X
brj-24486	163	52	et	et	PROPN
brj-24486	163	53	al	al	PROPN
brj-24486	163	54	.	.	PROPN
brj-24486	163	55	2010	2010	NUM
brj-24486	163	56	)	)	PUNCT
brj-24486	163	57	.	.	PUNCT
brj-24486	164	1	constant	constant	ADJ
brj-24486	164	2	drying	drying	NOUN
brj-24486	164	3	is	be	AUX
brj-24486	164	4	observed	observe	VERB
brj-24486	164	5	for	for	ADP
brj-24486	164	6	solid	solid	ADJ
brj-24486	164	7	materials	material	NOUN
brj-24486	164	8	with	with	ADP
brj-24486	164	9	a	a	DET
brj-24486	164	10	bi	bi	ADJ
brj-24486	164	11	number	number	NOUN
brj-24486	164	12	less	less	ADJ
brj-24486	164	13	than	than	ADP
brj-24486	164	14	0.1	0.1	NUM
brj-24486	164	15	,	,	PUNCT
brj-24486	164	16	while	while	SCONJ
brj-24486	164	17	the	the	DET
brj-24486	164	18	bi	bi	ADJ
brj-24486	164	19	number	number	NOUN
brj-24486	164	20	value	value	NOUN
brj-24486	164	21	for	for	ADP
brj-24486	164	22	lignocellulosic	lignocellulosic	ADJ
brj-24486	164	23	materials	material	NOUN
brj-24486	164	24	was	be	AUX
brj-24486	164	25	reported	report	VERB
brj-24486	164	26	as	as	ADP
brj-24486	164	27	more	more	ADJ
brj-24486	164	28	than	than	ADP
brj-24486	164	29	0.2	0.2	NUM
brj-24486	164	30	.	.	PUNCT
brj-24486	165	1	it	it	PRON
brj-24486	165	2	means	mean	VERB
brj-24486	165	3	that	that	SCONJ
brj-24486	165	4	the	the	DET
brj-24486	165	5	drying	dry	VERB
brj-24486	165	6	process	process	NOUN
brj-24486	165	7	and	and	CCONJ
brj-24486	165	8	mass	mass	NOUN
brj-24486	165	9	transfer	transfer	NOUN
brj-24486	165	10	parameters	parameter	NOUN
brj-24486	165	11	for	for	ADP
brj-24486	165	12	biomass	biomass	NOUN
brj-24486	165	13	materials	material	NOUN
brj-24486	165	14	were	be	AUX
brj-24486	165	15	mostly	mostly	ADV
brj-24486	165	16	controlled	control	VERB
brj-24486	165	17	by	by	ADP
brj-24486	165	18	internal	internal	ADJ
brj-24486	165	19	resistance	resistance	NOUN
brj-24486	165	20	(	(	PUNCT
brj-24486	165	21	dincer	dincer	NOUN
brj-24486	165	22	peer	peer	NOUN
brj-24486	165	23	-	-	PUNCT
brj-24486	165	24	reviewed	review	VERB
brj-24486	165	25	article	article	NOUN
brj-24486	165	26	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	165	27	arabi	arabi	PROPN
brj-24486	165	28	&	&	CCONJ
brj-24486	165	29	ghalehno	ghalehno	PROPN
brj-24486	165	30	(	(	PUNCT
brj-24486	165	31	2026	2026	NUM
brj-24486	165	32	)	)	PUNCT
brj-24486	165	33	.	.	PUNCT
brj-24486	166	1	“	"	PUNCT
brj-24486	166	2	wood	wood	NOUN
brj-24486	166	3	fiber	fiber	NOUN
brj-24486	166	4	drying	dry	VERB
brj-24486	166	5	,	,	PUNCT
brj-24486	166	6	”	"	PUNCT
brj-24486	166	7	bioresources	bioresource	NOUN
brj-24486	166	8	21(1	21(1	NUM
brj-24486	166	9	)	)	PUNCT
brj-24486	166	10	,	,	PUNCT
brj-24486	166	11	654	654	NUM
brj-24486	166	12	-	-	SYM
brj-24486	166	13	672	672	NUM
brj-24486	166	14	.	.	PUNCT
brj-24486	166	15	662	662	NUM
brj-24486	166	16	1998	1998	NUM
brj-24486	166	17	)	)	PUNCT
brj-24486	166	18	.	.	PUNCT
brj-24486	167	1	according	accord	VERB
brj-24486	167	2	to	to	ADP
brj-24486	167	3	fig	fig	NOUN
brj-24486	167	4	.	.	PUNCT
brj-24486	168	1	5	5	NUM
brj-24486	168	2	,	,	PUNCT
brj-24486	168	3	the	the	DET
brj-24486	168	4	drying	dry	VERB
brj-24486	168	5	process	process	NOUN
brj-24486	168	6	almost	almost	ADV
brj-24486	168	7	completely	completely	ADV
brj-24486	168	8	occurred	occur	VERB
brj-24486	168	9	during	during	ADP
brj-24486	168	10	the	the	DET
brj-24486	168	11	first	first	ADJ
brj-24486	168	12	and	and	CCONJ
brj-24486	168	13	second	second	ADJ
brj-24486	168	14	falling	fall	VERB
brj-24486	168	15	rate	rate	NOUN
brj-24486	168	16	periods	period	NOUN
brj-24486	168	17	(	(	PUNCT
brj-24486	168	18	b	b	NOUN
brj-24486	168	19	and	and	CCONJ
brj-24486	168	20	c	c	NOUN
brj-24486	168	21	)	)	PUNCT
brj-24486	168	22	.	.	PUNCT
brj-24486	169	1	fig	fig	NOUN
brj-24486	169	2	.	.	PUNCT
brj-24486	170	1	5	5	X
brj-24486	170	2	.	.	X
brj-24486	170	3	drying	dry	VERB
brj-24486	170	4	rate	rate	NOUN
brj-24486	170	5	versus	versus	ADP
brj-24486	170	6	moisture	moisture	NOUN
brj-24486	170	7	content	content	NOUN
brj-24486	170	8	at	at	ADP
brj-24486	170	9	different	different	ADJ
brj-24486	170	10	halogen	halogen	NOUN
brj-24486	170	11	drying	dry	VERB
brj-24486	170	12	temperature	temperature	NOUN
brj-24486	170	13	the	the	DET
brj-24486	170	14	first	first	ADJ
brj-24486	170	15	falling	fall	VERB
brj-24486	170	16	drying	dry	VERB
brj-24486	170	17	rate	rate	NOUN
brj-24486	170	18	happened	happen	VERB
brj-24486	170	19	when	when	SCONJ
brj-24486	170	20	wet	wet	ADJ
brj-24486	170	21	spots	spot	NOUN
brj-24486	170	22	on	on	ADP
brj-24486	170	23	the	the	DET
brj-24486	170	24	surface	surface	NOUN
brj-24486	170	25	gradually	gradually	ADV
brj-24486	170	26	diminished	diminish	VERB
brj-24486	170	27	until	until	SCONJ
brj-24486	170	28	the	the	DET
brj-24486	170	29	whole	whole	ADJ
brj-24486	170	30	surface	surface	NOUN
brj-24486	170	31	was	be	AUX
brj-24486	170	32	dry	dry	ADJ
brj-24486	170	33	.	.	PUNCT
brj-24486	171	1	as	as	ADP
brj-24486	171	2	a	a	DET
brj-24486	171	3	result	result	NOUN
brj-24486	171	4	,	,	PUNCT
brj-24486	171	5	the	the	DET
brj-24486	171	6	surface	surface	NOUN
brj-24486	171	7	moisture	moisture	NOUN
brj-24486	171	8	of	of	ADP
brj-24486	171	9	the	the	DET
brj-24486	171	10	fibers	fiber	NOUN
brj-24486	171	11	decreased	decrease	VERB
brj-24486	171	12	over	over	ADP
brj-24486	171	13	time	time	NOUN
brj-24486	171	14	while	while	SCONJ
brj-24486	171	15	the	the	DET
brj-24486	171	16	surface	surface	NOUN
brj-24486	171	17	temperature	temperature	NOUN
brj-24486	171	18	increased	increase	VERB
brj-24486	171	19	.	.	PUNCT
brj-24486	172	1	during	during	ADP
brj-24486	172	2	this	this	DET
brj-24486	172	3	period	period	NOUN
brj-24486	172	4	,	,	PUNCT
brj-24486	172	5	the	the	DET
brj-24486	172	6	drying	dry	VERB
brj-24486	172	7	process	process	NOUN
brj-24486	172	8	was	be	AUX
brj-24486	172	9	controlled	control	VERB
brj-24486	172	10	by	by	ADP
brj-24486	172	11	moisture	moisture	NOUN
brj-24486	172	12	diffusion	diffusion	NOUN
brj-24486	172	13	and	and	CCONJ
brj-24486	172	14	internal	internal	ADJ
brj-24486	172	15	resistances	resistance	NOUN
brj-24486	172	16	inside	inside	ADP
brj-24486	172	17	wood	wood	NOUN
brj-24486	172	18	fibers	fiber	NOUN
brj-24486	172	19	.	.	PUNCT
brj-24486	173	1	when	when	SCONJ
brj-24486	173	2	the	the	DET
brj-24486	173	3	surface	surface	NOUN
brj-24486	173	4	was	be	AUX
brj-24486	173	5	totally	totally	ADV
brj-24486	173	6	dried	dry	VERB
brj-24486	173	7	,	,	PUNCT
brj-24486	173	8	the	the	DET
brj-24486	173	9	second	second	ADJ
brj-24486	173	10	falling	fall	VERB
brj-24486	173	11	drying	dry	VERB
brj-24486	173	12	rate	rate	NOUN
brj-24486	173	13	started	start	VERB
brj-24486	173	14	at	at	ADP
brj-24486	173	15	point	point	NOUN
brj-24486	173	16	c	c	NOUN
brj-24486	173	17	,	,	PUNCT
brj-24486	173	18	and	and	CCONJ
brj-24486	173	19	the	the	DET
brj-24486	173	20	dry	dry	ADJ
brj-24486	173	21	surface	surface	NOUN
brj-24486	173	22	was	be	AUX
brj-24486	173	23	transmitted	transmit	VERB
brj-24486	173	24	to	to	ADP
brj-24486	173	25	the	the	DET
brj-24486	173	26	layers	layer	NOUN
brj-24486	173	27	underneath	underneath	ADP
brj-24486	173	28	the	the	DET
brj-24486	173	29	surface	surface	NOUN
brj-24486	173	30	.	.	PUNCT
brj-24486	174	1	according	accord	VERB
brj-24486	174	2	to	to	ADP
brj-24486	174	3	fig	fig	NOUN
brj-24486	174	4	5	5	NUM
brj-24486	174	5	,	,	PUNCT
brj-24486	174	6	about	about	ADV
brj-24486	174	7	60	60	NUM
brj-24486	174	8	%	%	NOUN
brj-24486	174	9	of	of	ADP
brj-24486	174	10	the	the	DET
brj-24486	174	11	total	total	ADJ
brj-24486	174	12	drying	dry	VERB
brj-24486	174	13	time	time	NOUN
brj-24486	174	14	occurred	occur	VERB
brj-24486	174	15	during	during	ADP
brj-24486	174	16	this	this	DET
brj-24486	174	17	period	period	NOUN
brj-24486	174	18	.	.	PUNCT
brj-24486	175	1	in	in	ADP
brj-24486	175	2	this	this	DET
brj-24486	175	3	phase	phase	NOUN
brj-24486	175	4	,	,	PUNCT
brj-24486	175	5	the	the	DET
brj-24486	175	6	drying	dry	VERB
brj-24486	175	7	rate	rate	NOUN
brj-24486	175	8	was	be	AUX
brj-24486	175	9	independent	independent	ADJ
brj-24486	175	10	of	of	ADP
brj-24486	175	11	drying	dry	VERB
brj-24486	175	12	conditions	condition	NOUN
brj-24486	175	13	such	such	ADJ
brj-24486	175	14	as	as	ADP
brj-24486	175	15	temperature	temperature	NOUN
brj-24486	175	16	and	and	CCONJ
brj-24486	175	17	moisture	moisture	NOUN
brj-24486	175	18	content	content	NOUN
brj-24486	175	19	.	.	PUNCT
brj-24486	176	1	the	the	DET
brj-24486	176	2	moisture	moisture	NOUN
brj-24486	176	3	transfer	transfer	NOUN
brj-24486	176	4	might	might	AUX
brj-24486	176	5	be	be	AUX
brj-24486	176	6	due	due	ADJ
brj-24486	176	7	to	to	ADP
brj-24486	176	8	liquid	liquid	ADJ
brj-24486	176	9	diffusion	diffusion	NOUN
brj-24486	176	10	,	,	PUNCT
brj-24486	176	11	capillary	capillary	ADJ
brj-24486	176	12	movement	movement	NOUN
brj-24486	176	13	,	,	PUNCT
brj-24486	176	14	and	and	CCONJ
brj-24486	176	15	vapor	vapor	NOUN
brj-24486	176	16	diffusion	diffusion	NOUN
brj-24486	176	17	.	.	PUNCT
brj-24486	177	1	also	also	ADV
brj-24486	177	2	,	,	PUNCT
brj-24486	177	3	the	the	DET
brj-24486	177	4	drying	dry	VERB
brj-24486	177	5	time	time	NOUN
brj-24486	177	6	was	be	AUX
brj-24486	177	7	usually	usually	ADV
brj-24486	177	8	greater	great	ADJ
brj-24486	177	9	than	than	ADP
brj-24486	177	10	the	the	DET
brj-24486	177	11	first	first	ADJ
brj-24486	177	12	falling	fall	VERB
brj-24486	177	13	drying	dry	VERB
brj-24486	177	14	rate	rate	NOUN
brj-24486	177	15	period	period	NOUN
brj-24486	177	16	.	.	PUNCT
brj-24486	178	1	drying	dry	VERB
brj-24486	178	2	curves	curve	NOUN
brj-24486	178	3	fitting	fit	VERB
brj-24486	178	4	the	the	DET
brj-24486	178	5	nonlinear	nonlinear	ADJ
brj-24486	178	6	regression	regression	NOUN
brj-24486	178	7	approach	approach	NOUN
brj-24486	178	8	and	and	CCONJ
brj-24486	178	9	matlab	matlab	PROPN
brj-24486	178	10	2016	2016	NUM
brj-24486	178	11	software	software	NOUN
brj-24486	178	12	were	be	AUX
brj-24486	178	13	used	use	VERB
brj-24486	178	14	to	to	PART
brj-24486	178	15	fit	fit	VERB
brj-24486	178	16	moisture	moisture	NOUN
brj-24486	178	17	content	content	NOUN
brj-24486	178	18	data	datum	NOUN
brj-24486	178	19	at	at	ADP
brj-24486	178	20	various	various	ADJ
brj-24486	178	21	drying	dry	VERB
brj-24486	178	22	temperatures	temperature	NOUN
brj-24486	178	23	to	to	ADP
brj-24486	178	24	the	the	DET
brj-24486	178	25	thin	thin	ADJ
brj-24486	178	26	-	-	PUNCT
brj-24486	178	27	layer	layer	NOUN
brj-24486	178	28	drying	dry	VERB
brj-24486	178	29	models	model	NOUN
brj-24486	178	30	presented	present	VERB
brj-24486	178	31	in	in	ADP
brj-24486	178	32	table	table	NOUN
brj-24486	178	33	1	1	NUM
brj-24486	178	34	.	.	PUNCT
brj-24486	179	1	the	the	DET
brj-24486	179	2	regression	regression	NOUN
brj-24486	179	3	constants	constant	NOUN
brj-24486	179	4	(	(	PUNCT
brj-24486	179	5	a	a	DET
brj-24486	179	6	,	,	PUNCT
brj-24486	179	7	b	b	NOUN
brj-24486	179	8	,	,	PUNCT
brj-24486	179	9	c	c	NOUN
brj-24486	179	10	,	,	PUNCT
brj-24486	179	11	d	d	NOUN
brj-24486	179	12	...	...	PUNCT
brj-24486	179	13	,	,	PUNCT
brj-24486	179	14	)	)	PUNCT
brj-24486	179	15	,	,	PUNCT
brj-24486	179	16	the	the	DET
brj-24486	179	17	drying	dry	VERB
brj-24486	179	18	constants	constant	NOUN
brj-24486	179	19	(	(	PUNCT
brj-24486	179	20	k	k	NOUN
brj-24486	179	21	)	)	PUNCT
brj-24486	179	22	,	,	PUNCT
brj-24486	179	23	and	and	CCONJ
brj-24486	179	24	the	the	DET
brj-24486	179	25	statistical	statistical	ADJ
brj-24486	179	26	indicators	indicator	NOUN
brj-24486	179	27	(	(	PUNCT
brj-24486	179	28	r2	r2	PROPN
brj-24486	179	29	,	,	PUNCT
brj-24486	179	30	sse	sse	NOUN
brj-24486	179	31	,	,	PUNCT
brj-24486	179	32	and	and	CCONJ
brj-24486	179	33	rmse	rmse	NOUN
brj-24486	179	34	)	)	PUNCT
brj-24486	179	35	of	of	ADP
brj-24486	179	36	the	the	DET
brj-24486	179	37	thin	thin	ADJ
brj-24486	179	38	-	-	PUNCT
brj-24486	179	39	layer	layer	NOUN
brj-24486	179	40	drying	dry	VERB
brj-24486	179	41	models	model	NOUN
brj-24486	179	42	are	be	AUX
brj-24486	179	43	shown	show	VERB
brj-24486	179	44	in	in	ADP
brj-24486	179	45	tables	table	NOUN
brj-24486	179	46	2	2	NUM
brj-24486	179	47	,	,	PUNCT
brj-24486	179	48	3	3	NUM
brj-24486	179	49	,	,	PUNCT
brj-24486	179	50	and	and	CCONJ
brj-24486	179	51	4	4	NUM
brj-24486	179	52	for	for	ADP
brj-24486	179	53	105	105	NUM
brj-24486	179	54	,	,	PUNCT
brj-24486	179	55	120	120	NUM
brj-24486	179	56	,	,	PUNCT
brj-24486	179	57	and	and	CCONJ
brj-24486	179	58	135	135	NUM
brj-24486	179	59	°	°	NOUN
brj-24486	179	60	c	c	NOUN
brj-24486	179	61	,	,	PUNCT
brj-24486	179	62	respectively	respectively	ADV
brj-24486	179	63	.	.	PUNCT
brj-24486	180	1	according	accord	VERB
brj-24486	180	2	to	to	ADP
brj-24486	180	3	tables	table	NOUN
brj-24486	180	4	2	2	NUM
brj-24486	180	5	,	,	PUNCT
brj-24486	180	6	3	3	NUM
brj-24486	180	7	,	,	PUNCT
brj-24486	180	8	and	and	CCONJ
brj-24486	180	9	4	4	NUM
brj-24486	180	10	,	,	PUNCT
brj-24486	180	11	lewis	lewis	PROPN
brj-24486	180	12	model	model	PROPN
brj-24486	180	13	(	(	PUNCT
brj-24486	180	14	newton	newton	PROPN
brj-24486	180	15	)	)	PUNCT
brj-24486	180	16	with	with	ADP
brj-24486	180	17	the	the	DET
brj-24486	180	18	one	one	NUM
brj-24486	180	19	fixed	fix	VERB
brj-24486	180	20	parameter	parameter	NOUN
brj-24486	180	21	(	(	PUNCT
brj-24486	180	22	k	k	NOUN
brj-24486	180	23	)	)	PUNCT
brj-24486	180	24	,	,	PUNCT
brj-24486	180	25	wang	wang	PROPN
brj-24486	180	26	and	and	CCONJ
brj-24486	180	27	singh	singh	PROPN
brj-24486	180	28	and	and	CCONJ
brj-24486	180	29	modified	modify	VERB
brj-24486	180	30	page	page	NOUN
brj-24486	180	31	-	-	PUNCT
brj-24486	180	32	ii	ii	NOUN
brj-24486	180	33	models	model	NOUN
brj-24486	180	34	with	with	ADP
brj-24486	180	35	two	two	NUM
brj-24486	180	36	constant	constant	ADJ
brj-24486	180	37	parameters	parameter	NOUN
brj-24486	180	38	,	,	PUNCT
brj-24486	180	39	and	and	CCONJ
brj-24486	180	40	two	two	NUM
brj-24486	180	41	-	-	PUNCT
brj-24486	180	42	term	term	NOUN
brj-24486	180	43	exponential	exponential	NOUN
brj-24486	180	44	models	model	NOUN
brj-24486	180	45	with	with	ADP
brj-24486	180	46	three	three	NUM
brj-24486	180	47	constant	constant	ADJ
brj-24486	180	48	parameters	parameter	NOUN
brj-24486	180	49	did	do	AUX
brj-24486	180	50	not	not	PART
brj-24486	180	51	show	show	VERB
brj-24486	180	52	a	a	DET
brj-24486	180	53	good	good	ADJ
brj-24486	180	54	fitness	fitness	NOUN
brj-24486	180	55	for	for	ADP
brj-24486	180	56	moisture	moisture	NOUN
brj-24486	180	57	content	content	NOUN
brj-24486	180	58	prediction	prediction	NOUN
brj-24486	180	59	.	.	PUNCT
brj-24486	181	1	at	at	ADP
brj-24486	181	2	105	105	NUM
brj-24486	181	3	°	°	NOUN
brj-24486	181	4	c	c	NOUN
brj-24486	181	5	,	,	PUNCT
brj-24486	181	6	the	the	DET
brj-24486	181	7	lewis	lewis	PROPN
brj-24486	181	8	model	model	PROPN
brj-24486	181	9	exhibited	exhibit	VERB
brj-24486	181	10	poor	poor	ADJ
brj-24486	181	11	fitting	fitting	ADJ
brj-24486	181	12	(	(	PUNCT
brj-24486	181	13	r²	r²	NOUN
brj-24486	181	14	=	=	SYM
brj-24486	181	15	0.522	0.522	NUM
brj-24486	181	16	)	)	PUNCT
brj-24486	181	17	due	due	ADP
brj-24486	181	18	to	to	ADP
brj-24486	181	19	high	high	ADJ
brj-24486	181	20	internal	internal	ADJ
brj-24486	181	21	resistance	resistance	NOUN
brj-24486	181	22	and	and	CCONJ
brj-24486	181	23	non	non	ADJ
brj-24486	181	24	-	-	ADJ
brj-24486	181	25	uniform	uniform	ADJ
brj-24486	181	26	moisture	moisture	NOUN
brj-24486	181	27	distribution	distribution	NOUN
brj-24486	181	28	.	.	PUNCT
brj-24486	182	1	however	however	ADV
brj-24486	182	2	,	,	PUNCT
brj-24486	182	3	at	at	ADP
brj-24486	182	4	higher	high	ADJ
brj-24486	182	5	temperatures	temperature	NOUN
brj-24486	182	6	(	(	PUNCT
brj-24486	182	7	120	120	NUM
brj-24486	182	8	and	and	CCONJ
brj-24486	182	9	135	135	NUM
brj-24486	182	10	°	°	NOUN
brj-24486	182	11	c	c	NOUN
brj-24486	182	12	)	)	PUNCT
brj-24486	182	13	,	,	PUNCT
brj-24486	182	14	diffusion	diffusion	NOUN
brj-24486	182	15	resistance	resistance	NOUN
brj-24486	182	16	decreased	decrease	VERB
brj-24486	182	17	,	,	PUNCT
brj-24486	182	18	and	and	CCONJ
brj-24486	182	19	the	the	DET
brj-24486	182	20	drying	dry	VERB
brj-24486	182	21	process	process	NOUN
brj-24486	182	22	became	become	VERB
brj-24486	182	23	more	more	ADV
brj-24486	182	24	surface	surface	NOUN
brj-24486	182	25	-	-	PUNCT
brj-24486	182	26	controlled	control	VERB
brj-24486	182	27	,	,	PUNCT
brj-24486	182	28	resulting	result	VERB
brj-24486	182	29	in	in	ADP
brj-24486	182	30	more	more	ADJ
brj-24486	182	31	exponential	exponential	ADJ
brj-24486	182	32	behavior	behavior	NOUN
brj-24486	182	33	and	and	CCONJ
brj-24486	182	34	improved	improved	ADJ
brj-24486	182	35	model	model	NOUN
brj-24486	182	36	fitting	fit	VERB
brj-24486	182	37	,	,	PUNCT
brj-24486	182	38	as	as	SCONJ
brj-24486	182	39	evidenced	evidence	VERB
brj-24486	182	40	by	by	ADP
brj-24486	182	41	higher	high	ADJ
brj-24486	182	42	r²	r²	NOUN
brj-24486	182	43	values	value	NOUN
brj-24486	182	44	.	.	PUNCT
brj-24486	183	1	peer	peer	NOUN
brj-24486	183	2	-	-	PUNCT
brj-24486	183	3	reviewed	review	VERB
brj-24486	183	4	article	article	NOUN
brj-24486	183	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	183	6	arabi	arabi	PROPN
brj-24486	183	7	&	&	CCONJ
brj-24486	183	8	ghalehno	ghalehno	PROPN
brj-24486	183	9	(	(	PUNCT
brj-24486	183	10	2026	2026	NUM
brj-24486	183	11	)	)	PUNCT
brj-24486	183	12	.	.	PUNCT
brj-24486	184	1	“	"	PUNCT
brj-24486	184	2	wood	wood	NOUN
brj-24486	184	3	fiber	fiber	NOUN
brj-24486	184	4	drying	dry	VERB
brj-24486	184	5	,	,	PUNCT
brj-24486	184	6	”	"	PUNCT
brj-24486	184	7	bioresources	bioresource	NOUN
brj-24486	184	8	21(1	21(1	NUM
brj-24486	184	9	)	)	PUNCT
brj-24486	184	10	,	,	PUNCT
brj-24486	184	11	654	654	NUM
brj-24486	184	12	-	-	SYM
brj-24486	184	13	672	672	NUM
brj-24486	184	14	.	.	PUNCT
brj-24486	185	1	663	663	NUM
brj-24486	185	2	table	table	NOUN
brj-24486	185	3	2	2	NUM
brj-24486	185	4	.	.	PUNCT
brj-24486	185	5	statistical	statistical	ADJ
brj-24486	185	6	results	result	NOUN
brj-24486	185	7	and	and	CCONJ
brj-24486	185	8	drying	dry	VERB
brj-24486	185	9	constant	constant	ADJ
brj-24486	185	10	of	of	ADP
brj-24486	185	11	mathematical	mathematical	ADJ
brj-24486	185	12	models	model	NOUN
brj-24486	185	13	at	at	ADP
brj-24486	185	14	different	different	ADJ
brj-24486	185	15	drying	dry	VERB
brj-24486	185	16	temperature	temperature	NOUN
brj-24486	185	17	(	(	PUNCT
brj-24486	185	18	t	t	NOUN
brj-24486	185	19	=	=	SYM
brj-24486	185	20	105	105	NUM
brj-24486	185	21	ºc	ºc	NUM
brj-24486	185	22	)	)	PUNCT
brj-24486	185	23	t	t	PROPN
brj-24486	185	24	model	model	NOUN
brj-24486	185	25	adj	adj	PROPN
brj-24486	185	26	.	.	PROPN
brj-24486	185	27	r2	r2	PROPN
brj-24486	185	28	constant	constant	ADJ
brj-24486	185	29	parameters	parameter	NOUN
brj-24486	185	30	rsme	rsme	PROPN
brj-24486	185	31	sse	sse	PROPN
brj-24486	185	32	105	105	NUM
brj-24486	185	33	f(t	f(t	NOUN
brj-24486	185	34	)	)	PUNCT
brj-24486	185	35	=	=	SYM
brj-24486	185	36	exp(-kt	exp(-kt	NOUN
brj-24486	185	37	)	)	PUNCT
brj-24486	185	38	0.3308	0.3308	NUM
brj-24486	185	39	k	k	X
brj-24486	186	1	=	=	PUNCT
brj-24486	186	2	0.001095	0.001095	NUM
brj-24486	186	3	0.3785	0.3785	NUM
brj-24486	186	4	17.91	17.91	NUM
brj-24486	186	5	f(t	f(t	NOUN
brj-24486	186	6	)	)	PUNCT
brj-24486	186	7	=	=	SYM
brj-24486	186	8	a	a	DET
brj-24486	186	9	exp(-kt	exp(-kt	NOUN
brj-24486	186	10	)	)	PUNCT
brj-24486	186	11	0.9804	0.9804	NUM
brj-24486	186	12	a	a	DET
brj-24486	186	13	=	=	SYM
brj-24486	186	14	2.004	2.004	NUM
brj-24486	186	15	,	,	PUNCT
brj-24486	186	16	k	k	X
brj-24486	186	17	=	=	PUNCT
brj-24486	187	1	0.002016	0.002016	NUM
brj-24486	187	2	0.06489	0.06489	NUM
brj-24486	187	3	0.5221	0.5221	NUM
brj-24486	187	4	f(t	f(t	NOUN
brj-24486	187	5	)	)	PUNCT
brj-24486	187	6	=	=	SYM
brj-24486	187	7	a	a	DET
brj-24486	187	8	exp(-kt	exp(-kt	NOUN
brj-24486	187	9	)	)	PUNCT
brj-24486	188	1	+	+	ADP
brj-24486	188	2	c	c	NOUN
brj-24486	188	3	0.9987	0.9987	NUM
brj-24486	188	4	a	a	DET
brj-24486	188	5	=	=	SYM
brj-24486	188	6	2.352	2.352	NUM
brj-24486	188	7	,	,	PUNCT
brj-24486	188	8	k	k	PROPN
brj-24486	188	9	=	=	SYM
brj-24486	188	10	0.00129	0.00129	NUM
brj-24486	188	11	,	,	PUNCT
brj-24486	188	12	c	c	NOUN
brj-24486	188	13	=	=	PUNCT
brj-24486	188	14	-0.4487	-0.4487	X
brj-24486	189	1	0.01638	0.01638	NUM
brj-24486	189	2	0.03298	0.03298	NUM
brj-24486	189	3	f(t	f(t	NOUN
brj-24486	189	4	)	)	PUNCT
brj-24486	189	5	=	=	SYM
brj-24486	189	6	a	a	DET
brj-24486	189	7	exp(-kt	exp(-kt	NOUN
brj-24486	189	8	)	)	PUNCT
brj-24486	190	1	+	+	ADP
brj-24486	190	2	c	c	NOUN
brj-24486	190	3	t	t	NOUN
brj-24486	190	4	0.9986	0.9986	NUM
brj-24486	190	5	a	a	DET
brj-24486	190	6	=	=	SYM
brj-24486	190	7	1.909	1.909	NUM
brj-24486	190	8	,	,	PUNCT
brj-24486	190	9	k	k	X
brj-24486	190	10	=	=	SYM
brj-24486	190	11	0.001517	0.001517	NUM
brj-24486	190	12	,	,	PUNCT
brj-24486	190	13	c	c	X
brj-24486	190	14	=	=	SYM
brj-24486	190	15	-0.0002181	-0.0002181	X
brj-24486	190	16	0.01715	0.01715	NUM
brj-24486	190	17	0.03619	0.03619	NUM
brj-24486	190	18	f(t	f(t	NOUN
brj-24486	190	19	)	)	PUNCT
brj-24486	190	20	=	=	PUNCT
brj-24486	190	21	a	a	DET
brj-24486	190	22	exp(-k1	exp(-k1	PROPN
brj-24486	190	23	t	t	NOUN
brj-24486	190	24	)	)	PUNCT
brj-24486	190	25	+	+	NUM
brj-24486	190	26	c	c	PROPN
brj-24486	190	27	exp(-k2	exp(-k2	PROPN
brj-24486	190	28	t	t	PROPN
brj-24486	190	29	)	)	PUNCT
brj-24486	190	30	0.9987	0.9987	NUM
brj-24486	190	31	a	a	DET
brj-24486	190	32	=	=	SYM
brj-24486	190	33	58.78	58.78	NUM
brj-24486	190	34	,	,	PUNCT
brj-24486	190	35	k1	k1	NOUN
brj-24486	190	36	=	=	SYM
brj-24486	190	37	0.0007727	0.0007727	NUM
brj-24486	190	38	,	,	PUNCT
brj-24486	190	39	k2	k2	NOUN
brj-24486	190	40	=	=	NOUN
brj-24486	190	41	0.0007472	0.0007472	NUM
brj-24486	190	42	,	,	PUNCT
brj-24486	190	43	c	c	NOUN
brj-24486	190	44	=	=	SYM
brj-24486	190	45	-56.89	-56.89	PROPN
brj-24486	190	46	0.01646	0.01646	NUM
brj-24486	190	47	0.03304	0.03304	NUM
brj-24486	190	48	f(t	f(t	NOUN
brj-24486	190	49	)	)	PUNCT
brj-24486	190	50	=	=	PUNCT
brj-24486	190	51	a	a	DET
brj-24486	190	52	exp(-k1	exp(-k1	PROPN
brj-24486	190	53	t	t	NOUN
brj-24486	190	54	)	)	PUNCT
brj-24486	191	1	+	+	PROPN
brj-24486	191	2	b	b	X
brj-24486	191	3	exp(-k2	exp(-k2	PROPN
brj-24486	191	4	t	t	PROPN
brj-24486	191	5	)	)	PUNCT
brj-24486	192	1	+	+	NOUN
brj-24486	192	2	c	c	NOUN
brj-24486	192	3	0.9987	0.9987	NUM
brj-24486	192	4	a	a	DET
brj-24486	192	5	=	=	NOUN
brj-24486	192	6	2.361	2.361	NOUN
brj-24486	192	7	,	,	PUNCT
brj-24486	192	8	k1	k1	NOUN
brj-24486	192	9	=	=	SYM
brj-24486	192	10	0.00126	0.00126	NUM
brj-24486	192	11	,	,	PUNCT
brj-24486	192	12	k2	k2	NOUN
brj-24486	192	13	=	=	SYM
brj-24486	192	14	0.01683	0.01683	NUM
brj-24486	192	15	,	,	PUNCT
brj-24486	192	16	b	b	X
brj-24486	192	17	=	=	SYM
brj-24486	192	18	0.02563	0.02563	NUM
brj-24486	192	19	,	,	PUNCT
brj-24486	192	20	c	c	NOUN
brj-24486	192	21	=	=	SYM
brj-24486	192	22	-0.471	-0.471	PROPN
brj-24486	192	23	0.01627	0.01627	NUM
brj-24486	192	24	0.03205	0.03205	NUM
brj-24486	192	25	f(t	f(t	NOUN
brj-24486	192	26	)	)	PUNCT
brj-24486	192	27	=	=	PUNCT
brj-24486	192	28	a	a	DET
brj-24486	192	29	exp(-k1	exp(-k1	PROPN
brj-24486	192	30	t	t	NOUN
brj-24486	192	31	)	)	PUNCT
brj-24486	193	1	+	+	PROPN
brj-24486	193	2	b	b	X
brj-24486	193	3	exp(-k2	exp(-k2	PROPN
brj-24486	193	4	t	t	PROPN
brj-24486	193	5	)	)	PUNCT
brj-24486	194	1	+	+	PROPN
brj-24486	194	2	c	c	PROPN
brj-24486	194	3	exp(-k3	exp(-k3	PROPN
brj-24486	194	4	t	t	PROPN
brj-24486	194	5	)	)	PUNCT
brj-24486	194	6	0.9973	0.9973	NUM
brj-24486	194	7	a	a	DET
brj-24486	194	8	=	=	SYM
brj-24486	194	9	20.62	20.62	NUM
brj-24486	194	10	,	,	PUNCT
brj-24486	194	11	k1	k1	NOUN
brj-24486	194	12	=	=	SYM
brj-24486	194	13	0.0002808	0.0002808	NUM
brj-24486	194	14	,	,	PUNCT
brj-24486	194	15	k1	k1	NOUN
brj-24486	194	16	=	=	SYM
brj-24486	194	17	0.003502	0.003502	NUM
brj-24486	194	18	,	,	PUNCT
brj-24486	194	19	k3	k3	VERB
brj-24486	194	20	=	=	PUNCT
brj-24486	194	21	0.0002256	0.0002256	NUM
brj-24486	194	22	b	b	X
brj-24486	194	23	=	=	SYM
brj-24486	194	24	0.5778	0.5778	NUM
brj-24486	194	25	,	,	PUNCT
brj-24486	194	26	c	c	X
brj-24486	194	27	=	=	SYM
brj-24486	194	28	-19.28	-19.28	PROPN
brj-24486	194	29	0.02422	0.02422	NUM
brj-24486	194	30	0.07037	0.07037	NUM
brj-24486	194	31	f(t	f(t	NOUN
brj-24486	194	32	)	)	PUNCT
brj-24486	194	33	=	=	PUNCT
brj-24486	194	34	a	a	DET
brj-24486	194	35	exp(-k1	exp(-k1	PROPN
brj-24486	194	36	t	t	NOUN
brj-24486	194	37	)	)	PUNCT
brj-24486	194	38	+	+	NOUN
brj-24486	194	39	(	(	PUNCT
brj-24486	194	40	1	1	NUM
brj-24486	194	41	-	-	PUNCT
brj-24486	194	42	a	a	NOUN
brj-24486	194	43	)	)	PUNCT
brj-24486	194	44	exp(-ak2	exp(-ak2	PRON
brj-24486	194	45	t	t	PROPN
brj-24486	194	46	)	)	PUNCT
brj-24486	194	47	0.3837	0.3837	NUM
brj-24486	194	48	a	a	DET
brj-24486	194	49	=	=	SYM
brj-24486	194	50	18.57	18.57	NUM
brj-24486	194	51	,	,	PUNCT
brj-24486	194	52	k1	k1	NOUN
brj-24486	194	53	=	=	SYM
brj-24486	194	54	0.0003812	0.0003812	NUM
brj-24486	194	55	,	,	PUNCT
brj-24486	194	56	k2	k2	NOUN
brj-24486	194	57	=	=	PROPN
brj-24486	194	58	1.902e-05	1.902e-05	NUM
brj-24486	194	59	0.3655	0.3655	NUM
brj-24486	194	60	16.43	16.43	NUM
brj-24486	194	61	f(t	f(t	NOUN
brj-24486	194	62	)	)	PUNCT
brj-24486	194	63	=	=	SYM
brj-24486	194	64	a	a	DET
brj-24486	194	65	exp(-kt	exp(-kt	NOUN
brj-24486	194	66	)	)	PUNCT
brj-24486	195	1	+	+	ADJ
brj-24486	195	2	(	(	PUNCT
brj-24486	195	3	1	1	NUM
brj-24486	195	4	-	-	PUNCT
brj-24486	195	5	a	a	PRON
brj-24486	195	6	)	)	PUNCT
brj-24486	195	7	exp(-gt	exp(-gt	NOUN
brj-24486	195	8	)	)	PUNCT
brj-24486	195	9	0.8920	0.8920	PRON
brj-24486	195	10	a	a	DET
brj-24486	195	11	=	=	SYM
brj-24486	195	12	2.035	2.035	NUM
brj-24486	195	13	,	,	PUNCT
brj-24486	195	14	k	k	X
brj-24486	195	15	=	=	SYM
brj-24486	195	16	0.002048	0.002048	NUM
brj-24486	195	17	,	,	PUNCT
brj-24486	195	18	g	g	PROPN
brj-24486	195	19	=	=	PROPN
brj-24486	195	20	0.9649	0.9649	NUM
brj-24486	195	21	0.153	0.153	NUM
brj-24486	195	22	2.878	2.878	NUM
brj-24486	195	23	f(t	f(t	NOUN
brj-24486	195	24	)	)	PUNCT
brj-24486	195	25	=	=	SYM
brj-24486	195	26	exp(-ktn	exp(-ktn	X
brj-24486	195	27	)	)	PUNCT
brj-24486	195	28	0.9874	0.9874	NUM
brj-24486	195	29	k=	k=	NUM
brj-24486	195	30	2.326e-08	2.326e-08	NUM
brj-24486	195	31	,	,	PUNCT
brj-24486	195	32	n	n	NOUN
brj-24486	195	33	=	=	SYM
brj-24486	195	34	2.617	2.617	NUM
brj-24486	195	35	0.05198	0.05198	NUM
brj-24486	195	36	0.335	0.335	NUM
brj-24486	195	37	f(t	f(t	NOUN
brj-24486	195	38	)	)	PUNCT
brj-24486	195	39	=	=	SYM
brj-24486	195	40	a	a	DET
brj-24486	195	41	exp(-ktn	exp(-ktn	PROPN
brj-24486	195	42	)	)	PUNCT
brj-24486	195	43	0.9937	0.9937	NUM
brj-24486	195	44	a	a	DET
brj-24486	195	45	=	=	NOUN
brj-24486	195	46	1.827	1.827	NUM
brj-24486	195	47	,	,	PUNCT
brj-24486	195	48	k	k	PROPN
brj-24486	195	49	=	=	SYM
brj-24486	195	50	0.0002737	0.0002737	NUM
brj-24486	195	51	,	,	PUNCT
brj-24486	195	52	n	n	NOUN
brj-24486	195	53	=	=	NUM
brj-24486	195	54	1.298	1.298	NUM
brj-24486	195	55	0.03695	0.03695	NUM
brj-24486	195	56	0.1679	0.1679	NUM
brj-24486	195	57	f(t	f(t	NOUN
brj-24486	195	58	)	)	PUNCT
brj-24486	195	59	=	=	SYM
brj-24486	195	60	a	a	DET
brj-24486	195	61	exp(-ktn	exp(-ktn	NOUN
brj-24486	195	62	)	)	PUNCT
brj-24486	195	63	+	+	ADJ
brj-24486	195	64	(	(	PUNCT
brj-24486	195	65	1	1	NUM
brj-24486	195	66	-	-	PUNCT
brj-24486	195	67	a	a	NOUN
brj-24486	195	68	)	)	PUNCT
brj-24486	195	69	exp(-gtn	exp(-gtn	PROPN
brj-24486	195	70	)	)	PUNCT
brj-24486	195	71	0.9043	0.9043	NUM
brj-24486	195	72	a	a	DET
brj-24486	195	73	=	=	SYM
brj-24486	195	74	1.787	1.787	NUM
brj-24486	195	75	,	,	PUNCT
brj-24486	195	76	k	k	X
brj-24486	195	77	=	=	SYM
brj-24486	195	78	0.0001936	0.0001936	NUM
brj-24486	195	79	,	,	PUNCT
brj-24486	195	80	g	g	PROPN
brj-24486	195	81	=	=	PROPN
brj-24486	195	82	0.9649	0.9649	NUM
brj-24486	195	83	,	,	PUNCT
brj-24486	195	84	n	n	NOUN
brj-24486	195	85	=	=	SYM
brj-24486	195	86	1.348	1.348	NUM
brj-24486	195	87	0.1445	0.1445	NUM
brj-24486	195	88	2.548	2.548	NUM
brj-24486	195	89	f(t	f(t	NOUN
brj-24486	195	90	)	)	PUNCT
brj-24486	195	91	=	=	SYM
brj-24486	195	92	a	a	DET
brj-24486	195	93	exp(-ktn	exp(-ktn	NOUN
brj-24486	195	94	)	)	PUNCT
brj-24486	196	1	+	+	NOUN
brj-24486	196	2	bt	bt	NOUN
brj-24486	196	3	0.9990	0.9990	NUM
brj-24486	196	4	a	a	DET
brj-24486	196	5	=	=	SYM
brj-24486	196	6	1.571	1.571	NUM
brj-24486	196	7	,	,	PUNCT
brj-24486	196	8	k	k	X
brj-24486	196	9	=	=	PUNCT
brj-24486	196	10	7.104	7.104	NUM
brj-24486	196	11	,	,	PUNCT
brj-24486	196	12	c	c	NOUN
brj-24486	196	13	=	=	SYM
brj-24486	196	14	-0.001415	-0.001415	PROPN
brj-24486	196	15	,	,	PUNCT
brj-24486	196	16	n	n	PROPN
brj-24486	196	17	=	=	SYM
brj-24486	196	18	-9.327	-9.327	NUM
brj-24486	197	1	0.02559	0.02559	NUM
brj-24486	197	2	0.02934	0.02934	NUM
brj-24486	197	3	f(t	f(t	NOUN
brj-24486	197	4	)	)	PUNCT
brj-24486	198	1	=	=	SYM
brj-24486	198	2	1+at+kt2	1+at+kt2	VERB
brj-24486	198	3	0.5641	0.5641	NUM
brj-24486	198	4	a	a	DET
brj-24486	198	5	=	=	SYM
brj-24486	198	6	0.00017	0.00017	NUM
brj-24486	198	7	,	,	PUNCT
brj-24486	198	8	k	k	X
brj-24486	198	9	=	=	SYM
brj-24486	198	10	-9.287e-07	-9.287e-07	PROPN
brj-24486	199	1	0.3061	0.3061	NUM
brj-24486	199	2	11.62	11.62	NUM
brj-24486	199	3	f(t	f(t	NOUN
brj-24486	199	4	)	)	PUNCT
brj-24486	199	5	=	=	SYM
brj-24486	199	6	a	a	DET
brj-24486	199	7	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	199	8	]	]	X
brj-24486	199	9	0.9937	0.9937	NUM
brj-24486	199	10	a	a	DET
brj-24486	199	11	=	=	NOUN
brj-24486	199	12	1.827	1.827	NUM
brj-24486	199	13	,	,	PUNCT
brj-24486	199	14	k	k	PROPN
brj-24486	199	15	=	=	SYM
brj-24486	199	16	0.001797	0.001797	PROPN
brj-24486	199	17	,	,	PUNCT
brj-24486	199	18	n	n	PRON
brj-24486	199	19	=	=	NOUN
brj-24486	199	20	1.298	1.298	NUM
brj-24486	199	21	0.03695	0.03695	NUM
brj-24486	199	22	0.1679	0.1679	NUM
brj-24486	199	23	f(t	f(t	NOUN
brj-24486	199	24	)	)	PUNCT
brj-24486	199	25	=	=	SYM
brj-24486	200	1	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	200	2	]	]	X
brj-24486	200	3	0.5989	0.5989	NUM
brj-24486	200	4	k	k	X
brj-24486	200	5	=	=	SYM
brj-24486	200	6	0.001215	0.001215	NUM
brj-24486	200	7	,	,	PUNCT
brj-24486	200	8	n	n	NOUN
brj-24486	200	9	=	=	NUM
brj-24486	200	10	3.284	3.284	NUM
brj-24486	200	11	0.2925	0.2925	NUM
brj-24486	200	12	10.61	10.61	NUM
brj-24486	200	13	f(t	f(t	NOUN
brj-24486	200	14	)	)	PUNCT
brj-24486	200	15	=	=	SYM
brj-24486	201	1	a	a	DET
brj-24486	201	2	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	201	3	]	]	X
brj-24486	202	1	+	+	NOUN
brj-24486	202	2	c	c	X
brj-24486	202	3	0.9987	0.9987	NUM
brj-24486	202	4	a	a	DET
brj-24486	202	5	=	=	ADP
brj-24486	202	6	2.359	2.359	NUM
brj-24486	202	7	,	,	PUNCT
brj-24486	202	8	k	k	X
brj-24486	202	9	=	=	PUNCT
brj-24486	202	10	0.001285	0.001285	NUM
brj-24486	202	11	,	,	PUNCT
brj-24486	202	12	c	c	NOUN
brj-24486	202	13	=	=	SYM
brj-24486	202	14	-0.4543	-0.4543	PROPN
brj-24486	202	15	,	,	PUNCT
brj-24486	202	16	n	n	NOUN
brj-24486	202	17	=	=	NOUN
brj-24486	202	18	0.9974	0.9974	NUM
brj-24486	202	19	0.02644	0.02644	NUM
brj-24486	202	20	0.03298	0.03298	NUM
brj-24486	202	21	henderson	henderson	NOUN
brj-24486	202	22	and	and	CCONJ
brj-24486	202	23	pabis	pabis	NOUN
brj-24486	202	24	and	and	CCONJ
brj-24486	202	25	page	page	NOUN
brj-24486	202	26	models	model	NOUN
brj-24486	202	27	with	with	ADP
brj-24486	202	28	two	two	NUM
brj-24486	202	29	adjustment	adjustment	NOUN
brj-24486	202	30	parameters	parameter	NOUN
brj-24486	202	31	and	and	CCONJ
brj-24486	202	32	logarithmic	logarithmic	ADJ
brj-24486	202	33	,	,	PUNCT
brj-24486	202	34	modified	modify	VERB
brj-24486	202	35	midilli	midilli	PROPN
brj-24486	202	36	et	et	PROPN
brj-24486	202	37	al.-iii	al.-iii	PROPN
brj-24486	202	38	,	,	PUNCT
brj-24486	202	39	modified	modify	VERB
brj-24486	202	40	page	page	NOUN
brj-24486	202	41	-	-	PUNCT
brj-24486	202	42	iii	iii	NOUN
brj-24486	202	43	and	and	CCONJ
brj-24486	202	44	modified	modify	VERB
brj-24486	202	45	page	page	NOUN
brj-24486	202	46	-	-	PUNCT
brj-24486	202	47	iv	iv	NUM
brj-24486	202	48	models	model	NOUN
brj-24486	202	49	with	with	ADP
brj-24486	202	50	three	three	NUM
brj-24486	202	51	adjustment	adjustment	NOUN
brj-24486	202	52	parameters	parameter	NOUN
brj-24486	202	53	showed	show	VERB
brj-24486	202	54	good	good	ADJ
brj-24486	202	55	fits	fit	NOUN
brj-24486	202	56	for	for	ADP
brj-24486	202	57	the	the	DET
brj-24486	202	58	wood	wood	NOUN
brj-24486	202	59	fiber	fiber	NOUN
brj-24486	202	60	drying	dry	VERB
brj-24486	202	61	process	process	NOUN
brj-24486	202	62	.	.	PUNCT
brj-24486	203	1	also	also	ADV
brj-24486	203	2	,	,	PUNCT
brj-24486	203	3	demir	demir	PROPN
brj-24486	203	4	et	et	PROPN
brj-24486	203	5	al	al	PROPN
brj-24486	203	6	.	.	PROPN
brj-24486	203	7	,	,	PUNCT
brj-24486	203	8	midilli	midilli	PROPN
brj-24486	203	9	et	et	PROPN
brj-24486	203	10	al	al	PROPN
brj-24486	203	11	.	.	PROPN
brj-24486	203	12	,	,	PUNCT
brj-24486	203	13	hii	hii	PROPN
brj-24486	203	14	et	et	PROPN
brj-24486	203	15	al	al	PROPN
brj-24486	203	16	.	.	PROPN
brj-24486	203	17	,	,	PUNCT
brj-24486	203	18	kaleta	kaleta	PROPN
brj-24486	203	19	et	et	PROPN
brj-24486	203	20	al	al	PROPN
brj-24486	203	21	.	.	PROPN
brj-24486	203	22	ii	ii	PROPN
brj-24486	203	23	.	.	PROPN
brj-24486	203	24	,	,	PUNCT
brj-24486	203	25	two	two	NUM
brj-24486	203	26	-	-	PUNCT
brj-24486	203	27	term	term	NOUN
brj-24486	203	28	,	,	PUNCT
brj-24486	203	29	noomhorm	noomhorm	NOUN
brj-24486	203	30	and	and	CCONJ
brj-24486	203	31	verma	verma	PROPN
brj-24486	203	32	,	,	PUNCT
brj-24486	203	33	modified	modify	VERB
brj-24486	203	34	henderson	henderson	PROPN
brj-24486	203	35	and	and	CCONJ
brj-24486	203	36	pabis	pabis	PROPN
brj-24486	203	37	model	model	NOUN
brj-24486	203	38	with	with	ADP
brj-24486	203	39	more	more	ADJ
brj-24486	203	40	than	than	ADP
brj-24486	203	41	three	three	NUM
brj-24486	203	42	adjustment	adjustment	NOUN
brj-24486	203	43	parameters	parameter	NOUN
brj-24486	203	44	predicted	predict	VERB
brj-24486	203	45	moisture	moisture	NOUN
brj-24486	203	46	content	content	NOUN
brj-24486	203	47	of	of	ADP
brj-24486	203	48	wood	wood	NOUN
brj-24486	203	49	fiber	fiber	NOUN
brj-24486	203	50	with	with	ADP
brj-24486	203	51	the	the	DET
brj-24486	203	52	highest	high	ADJ
brj-24486	203	53	value	value	NOUN
brj-24486	203	54	of	of	ADP
brj-24486	203	55	r2	r2	PROPN
brj-24486	203	56	and	and	CCONJ
brj-24486	203	57	lowest	low	ADJ
brj-24486	203	58	value	value	NOUN
brj-24486	203	59	of	of	ADP
brj-24486	203	60	rmse	rmse	NOUN
brj-24486	203	61	and	and	CCONJ
brj-24486	203	62	sse	sse	NOUN
brj-24486	203	63	.	.	PUNCT
brj-24486	204	1	according	accord	VERB
brj-24486	204	2	to	to	ADP
brj-24486	204	3	results	result	NOUN
brj-24486	204	4	of	of	ADP
brj-24486	204	5	tables	table	NOUN
brj-24486	204	6	2	2	NUM
brj-24486	204	7	,	,	PUNCT
brj-24486	204	8	3	3	NUM
brj-24486	204	9	,	,	PUNCT
brj-24486	204	10	and	and	CCONJ
brj-24486	204	11	4	4	NUM
brj-24486	204	12	,	,	PUNCT
brj-24486	204	13	based	base	VERB
brj-24486	204	14	on	on	ADP
brj-24486	204	15	the	the	DET
brj-24486	204	16	statistical	statistical	ADJ
brj-24486	204	17	indicators	indicator	NOUN
brj-24486	204	18	;	;	PUNCT
brj-24486	204	19	there	there	PRON
brj-24486	204	20	was	be	VERB
brj-24486	204	21	not	not	PART
brj-24486	204	22	much	much	ADJ
brj-24486	204	23	difference	difference	NOUN
brj-24486	204	24	among	among	ADP
brj-24486	204	25	some	some	PRON
brj-24486	204	26	of	of	ADP
brj-24486	204	27	models	model	NOUN
brj-24486	204	28	with	with	ADP
brj-24486	204	29	two	two	NUM
brj-24486	204	30	,	,	PUNCT
brj-24486	204	31	three	three	NUM
brj-24486	204	32	,	,	PUNCT
brj-24486	204	33	and	and	CCONJ
brj-24486	204	34	more	more	ADJ
brj-24486	204	35	than	than	ADP
brj-24486	204	36	three	three	NUM
brj-24486	204	37	adjustment	adjustment	NOUN
brj-24486	204	38	parameters	parameter	NOUN
brj-24486	204	39	.	.	PUNCT
brj-24486	205	1	the	the	DET
brj-24486	205	2	midilli	midilli	PROPN
brj-24486	205	3	et	et	PROPN
brj-24486	205	4	al	al	PROPN
brj-24486	205	5	.	.	PROPN
brj-24486	205	6	model	model	PROPN
brj-24486	205	7	with	with	ADP
brj-24486	205	8	four	four	NUM
brj-24486	205	9	fixed	fix	VERB
brj-24486	205	10	parameters	parameter	NOUN
brj-24486	205	11	were	be	AUX
brj-24486	205	12	selected	select	VERB
brj-24486	205	13	as	as	ADP
brj-24486	205	14	a	a	DET
brj-24486	205	15	best	good	ADJ
brj-24486	205	16	model	model	NOUN
brj-24486	205	17	for	for	ADP
brj-24486	205	18	drying	dry	VERB
brj-24486	205	19	kinetic	kinetic	NOUN
brj-24486	205	20	of	of	ADP
brj-24486	205	21	wood	wood	NOUN
brj-24486	205	22	poplar	poplar	NOUN
brj-24486	205	23	particle	particle	NOUN
brj-24486	205	24	(	(	PUNCT
brj-24486	205	25	zarea	zarea	PROPN
brj-24486	205	26	hosseinabadi	hosseinabadi	NOUN
brj-24486	205	27	et	et	PROPN
brj-24486	205	28	al	al	PROPN
brj-24486	205	29	.	.	PROPN
brj-24486	205	30	2012	2012	NUM
brj-24486	205	31	;	;	PUNCT
brj-24486	205	32	arabi	arabi	PROPN
brj-24486	205	33	et	et	PROPN
brj-24486	205	34	al	al	PROPN
brj-24486	205	35	.	.	PROPN
brj-24486	205	36	2017	2017	NUM
brj-24486	205	37	)	)	PUNCT
brj-24486	205	38	.	.	PUNCT
brj-24486	206	1	peer	peer	NOUN
brj-24486	206	2	-	-	PUNCT
brj-24486	206	3	reviewed	review	VERB
brj-24486	206	4	article	article	NOUN
brj-24486	206	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	206	6	arabi	arabi	PROPN
brj-24486	206	7	&	&	CCONJ
brj-24486	206	8	ghalehno	ghalehno	PROPN
brj-24486	206	9	(	(	PUNCT
brj-24486	206	10	2026	2026	NUM
brj-24486	206	11	)	)	PUNCT
brj-24486	206	12	.	.	PUNCT
brj-24486	207	1	“	"	PUNCT
brj-24486	207	2	wood	wood	NOUN
brj-24486	207	3	fiber	fiber	NOUN
brj-24486	207	4	drying	dry	VERB
brj-24486	207	5	,	,	PUNCT
brj-24486	207	6	”	"	PUNCT
brj-24486	207	7	bioresources	bioresource	NOUN
brj-24486	207	8	21(1	21(1	NUM
brj-24486	207	9	)	)	PUNCT
brj-24486	207	10	,	,	PUNCT
brj-24486	207	11	654	654	NUM
brj-24486	207	12	-	-	SYM
brj-24486	207	13	672	672	NUM
brj-24486	207	14	.	.	PUNCT
brj-24486	208	1	664	664	NUM
brj-24486	208	2	table	table	NOUN
brj-24486	208	3	3	3	NUM
brj-24486	208	4	.	.	PUNCT
brj-24486	208	5	statistical	statistical	ADJ
brj-24486	208	6	results	result	NOUN
brj-24486	208	7	and	and	CCONJ
brj-24486	208	8	drying	dry	VERB
brj-24486	208	9	constant	constant	ADJ
brj-24486	208	10	of	of	ADP
brj-24486	208	11	mathematical	mathematical	ADJ
brj-24486	208	12	models	model	NOUN
brj-24486	208	13	at	at	ADP
brj-24486	208	14	different	different	ADJ
brj-24486	208	15	drying	dry	VERB
brj-24486	208	16	temperature	temperature	NOUN
brj-24486	208	17	(	(	PUNCT
brj-24486	208	18	t=120	t=120	NOUN
brj-24486	208	19	°	°	NOUN
brj-24486	208	20	c	c	NOUN
brj-24486	208	21	)	)	PUNCT
brj-24486	208	22	t	t	NOUN
brj-24486	208	23	model	model	NOUN
brj-24486	208	24	equation	equation	PROPN
brj-24486	208	25	adj	adj	PROPN
brj-24486	208	26	.	.	PROPN
brj-24486	208	27	r2	r2	PROPN
brj-24486	208	28	constants	constants	PROPN
brj-24486	208	29	rsme	rsme	PROPN
brj-24486	208	30	sse	sse	PROPN
brj-24486	208	31	120	120	NUM
brj-24486	208	32	°	°	PROPN
brj-24486	208	33	c	c	NOUN
brj-24486	208	34	f(t	f(t	NOUN
brj-24486	208	35	)	)	PUNCT
brj-24486	208	36	=	=	SYM
brj-24486	208	37	exp(-kt	exp(-kt	NOUN
brj-24486	208	38	)	)	PUNCT
brj-24486	209	1	0.98334	0.98334	NUM
brj-24486	209	2	k	k	X
brj-24486	209	3	=	=	PUNCT
brj-24486	209	4	0.003745	0.003745	NUM
brj-24486	209	5	0.06306	0.06306	NUM
brj-24486	209	6	0.09942	0.09942	NUM
brj-24486	209	7	f(t	f(t	NOUN
brj-24486	209	8	)	)	PUNCT
brj-24486	209	9	=	=	SYM
brj-24486	209	10	a	a	DET
brj-24486	209	11	exp(-kt	exp(-kt	NOUN
brj-24486	209	12	)	)	PUNCT
brj-24486	209	13	0.9986	0.9986	NUM
brj-24486	209	14	a	a	DET
brj-24486	209	15	=	=	NOUN
brj-24486	209	16	2.116	2.116	NUM
brj-24486	209	17	,	,	PUNCT
brj-24486	209	18	k	k	X
brj-24486	210	1	=	=	PUNCT
brj-24486	210	2	0.00577	0.00577	NUM
brj-24486	210	3	0.01889	0.01889	NUM
brj-24486	210	4	0.008567	0.008567	NUM
brj-24486	210	5	f(t	f(t	NOUN
brj-24486	210	6	)	)	PUNCT
brj-24486	210	7	=	=	SYM
brj-24486	210	8	a	a	DET
brj-24486	210	9	exp(-kt	exp(-kt	NOUN
brj-24486	210	10	)	)	PUNCT
brj-24486	211	1	+	+	ADP
brj-24486	211	2	c	c	X
brj-24486	211	3	0.99762	0.99762	NUM
brj-24486	211	4	a	a	DET
brj-24486	211	5	=	=	NOUN
brj-24486	211	6	2.145	2.145	NUM
brj-24486	211	7	,	,	PUNCT
brj-24486	211	8	k1	k1	NOUN
brj-24486	211	9	=	=	NOUN
brj-24486	211	10	0.002314	0.002314	NUM
brj-24486	211	11	,	,	PUNCT
brj-24486	211	12	c	c	X
brj-24486	211	13	=	=	SYM
brj-24486	211	14	-0.06061	-0.06061	X
brj-24486	212	1	0.02282	0.02282	PROPN
brj-24486	212	2	0.0198	0.0198	NUM
brj-24486	212	3	f(t	f(t	NOUN
brj-24486	212	4	)	)	PUNCT
brj-24486	212	5	=	=	PUNCT
brj-24486	212	6	a	a	DET
brj-24486	212	7	exp(-k1	exp(-k1	PROPN
brj-24486	212	8	t	t	NOUN
brj-24486	212	9	)	)	PUNCT
brj-24486	213	1	+	+	ADP
brj-24486	213	2	c	c	PROPN
brj-24486	213	3	exp(-k2	exp(-k2	PROPN
brj-24486	213	4	t	t	PROPN
brj-24486	213	5	)	)	PUNCT
brj-24486	213	6	0.9965	0.9965	NUM
brj-24486	213	7	a	a	DET
brj-24486	213	8	=	=	SYM
brj-24486	213	9	2.157	2.157	NUM
brj-24486	213	10	,	,	PUNCT
brj-24486	213	11	k1	k1	NOUN
brj-24486	213	12	=	=	SYM
brj-24486	213	13	0.005964	0.005964	NUM
brj-24486	213	14	,	,	PUNCT
brj-24486	213	15	k2	k2	NOUN
brj-24486	213	16	=	=	SYM
brj-24486	213	17	0.9134	0.9134	NUM
brj-24486	213	18	,	,	PUNCT
brj-24486	213	19	c	c	NOUN
brj-24486	213	20	=	=	PUNCT
brj-24486	213	21	-0.2919	-0.2919	NOUN
brj-24486	213	22	0.03085	0.03085	NUM
brj-24486	213	23	0.02094	0.02094	NUM
brj-24486	213	24	f(t	f(t	NOUN
brj-24486	213	25	)	)	PUNCT
brj-24486	213	26	=	=	PUNCT
brj-24486	213	27	a	a	DET
brj-24486	213	28	exp(-k1	exp(-k1	PROPN
brj-24486	213	29	t	t	NOUN
brj-24486	213	30	)	)	PUNCT
brj-24486	213	31	+	+	SYM
brj-24486	213	32	b	b	X
brj-24486	213	33	exp(-k2	exp(-k2	PROPN
brj-24486	213	34	t	t	PROPN
brj-24486	213	35	)	)	PUNCT
brj-24486	214	1	+	+	NOUN
brj-24486	214	2	c	c	NOUN
brj-24486	214	3	0.9993	0.9993	NUM
brj-24486	214	4	a	a	DET
brj-24486	214	5	=	=	SYM
brj-24486	214	6	2.155	2.155	NUM
brj-24486	214	7	,	,	PUNCT
brj-24486	214	8	k1	k1	NOUN
brj-24486	214	9	=	=	SYM
brj-24486	214	10	0.005375	0.005375	NUM
brj-24486	214	11	,	,	PUNCT
brj-24486	214	12	k2	k2	NOUN
brj-24486	214	13	=	=	SYM
brj-24486	214	14	0.9134	0.9134	NUM
brj-24486	214	15	,	,	PUNCT
brj-24486	214	16	b	b	NOUN
brj-24486	214	17	=	=	SYM
brj-24486	214	18	-0.2292	-0.2292	PROPN
brj-24486	214	19	,	,	PUNCT
brj-24486	214	20	c	c	NOUN
brj-24486	214	21	=	=	SYM
brj-24486	214	22	-0.06012	-0.06012	NOUN
brj-24486	214	23	0.02445	0.02445	NOUN
brj-24486	214	24	0.004384	0.004384	NUM
brj-24486	214	25	f(t	f(t	NOUN
brj-24486	214	26	)	)	PUNCT
brj-24486	214	27	=	=	SYM
brj-24486	215	1	a	a	DET
brj-24486	215	2	exp(-k1t)+c	exp(-k1t)+c	ADJ
brj-24486	215	3	exp(k2t)+b	exp(k2t)+b	PROPN
brj-24486	215	4	exp(-k3	exp(-k3	PROPN
brj-24486	215	5	t	t	PROPN
brj-24486	215	6	)	)	PUNCT
brj-24486	215	7	0.9965	0.9965	NUM
brj-24486	215	8	a	a	DET
brj-24486	215	9	=	=	SYM
brj-24486	215	10	2.158	2.158	NUM
brj-24486	215	11	,	,	PUNCT
brj-24486	215	12	k1	k1	NOUN
brj-24486	215	13	=	=	SYM
brj-24486	215	14	0.005965	0.005965	NUM
brj-24486	215	15	,	,	PUNCT
brj-24486	215	16	k2	k2	NOUN
brj-24486	215	17	=	=	SYM
brj-24486	215	18	0.9134	0.9134	NUM
brj-24486	215	19	,	,	PUNCT
brj-24486	215	20	k3	k3	VERB
brj-24486	215	21	=	=	NOUN
brj-24486	215	22	0.2735	0.2735	NUM
brj-24486	215	23	,	,	PUNCT
brj-24486	215	24	b	b	NOUN
brj-24486	215	25	=	=	SYM
brj-24486	215	26	-0.402	-0.402	NOUN
brj-24486	215	27	,	,	PUNCT
brj-24486	215	28	c	c	X
brj-24486	215	29	=	=	PUNCT
brj-24486	215	30	0.1097	0.1097	NUM
brj-24486	215	31	0.03236	0.03236	NUM
brj-24486	215	32	0.02094	0.02094	NUM
brj-24486	215	33	f(t	f(t	NOUN
brj-24486	215	34	)	)	PUNCT
brj-24486	215	35	=	=	SYM
brj-24486	215	36	a	a	DET
brj-24486	215	37	exp(-kt	exp(-kt	NOUN
brj-24486	215	38	)	)	PUNCT
brj-24486	216	1	+	+	CCONJ
brj-24486	216	2	(	(	PUNCT
brj-24486	216	3	1	1	NUM
brj-24486	216	4	-	-	PUNCT
brj-24486	216	5	a	a	NOUN
brj-24486	216	6	)	)	PUNCT
brj-24486	216	7	exp(-ak1	exp(-ak1	NOUN
brj-24486	216	8	t	t	PROPN
brj-24486	216	9	)	)	PUNCT
brj-24486	216	10	0.96682	0.96682	NUM
brj-24486	216	11	a	a	DET
brj-24486	216	12	=	=	SYM
brj-24486	216	13	2.134	2.134	NUM
brj-24486	216	14	,	,	PUNCT
brj-24486	216	15	k	k	PROPN
brj-24486	216	16	=	=	SYM
brj-24486	216	17	0.00585	0.00585	NUM
brj-24486	216	18	,	,	PUNCT
brj-24486	216	19	k1	k1	NOUN
brj-24486	216	20	=	=	PUNCT
brj-24486	216	21	0.9134	0.9134	NUM
brj-24486	216	22	0.09278	0.09278	NUM
brj-24486	216	23	0.198	0.198	NUM
brj-24486	216	24	f(t	f(t	NOUN
brj-24486	216	25	)	)	PUNCT
brj-24486	216	26	=	=	SYM
brj-24486	216	27	a	a	DET
brj-24486	216	28	exp(-kt	exp(-kt	NOUN
brj-24486	216	29	)	)	PUNCT
brj-24486	217	1	+	+	CCONJ
brj-24486	217	2	(	(	PUNCT
brj-24486	217	3	1	1	NUM
brj-24486	217	4	-	-	PUNCT
brj-24486	217	5	a	a	PRON
brj-24486	217	6	)	)	PUNCT
brj-24486	217	7	exp(gt	exp(gt	NOUN
brj-24486	217	8	)	)	PUNCT
brj-24486	217	9	0.96682	0.96682	NUM
brj-24486	217	10	a	a	DET
brj-24486	217	11	=	=	NUM
brj-24486	217	12	2.134	2.134	NUM
brj-24486	217	13	,	,	PUNCT
brj-24486	217	14	k	k	PROPN
brj-24486	217	15	=	=	SYM
brj-24486	217	16	0.00585	0.00585	NUM
brj-24486	217	17	,	,	PUNCT
brj-24486	217	18	g	g	NOUN
brj-24486	217	19	=	=	PUNCT
brj-24486	217	20	0.9134	0.9134	NUM
brj-24486	217	21	0.09278	0.09278	NUM
brj-24486	217	22	0.198	0.198	NUM
brj-24486	217	23	f(x	f(x	PROPN
brj-24486	217	24	)	)	PUNCT
brj-24486	217	25	=	=	PUNCT
brj-24486	218	1	a	a	DET
brj-24486	218	2	exp(-ktn	exp(-ktn	NOUN
brj-24486	218	3	)	)	PUNCT
brj-24486	218	4	0.99734	0.99734	NUM
brj-24486	218	5	a	a	DET
brj-24486	218	6	=	=	NUM
brj-24486	218	7	1.898	1.898	NUM
brj-24486	218	8	,	,	PUNCT
brj-24486	218	9	k	k	X
brj-24486	218	10	=	=	SYM
brj-24486	218	11	0.001704	0.001704	NUM
brj-24486	218	12	,	,	PUNCT
brj-24486	218	13	n	n	NOUN
brj-24486	218	14	=	=	NUM
brj-24486	218	15	1.208	1.208	NUM
brj-24486	218	16	0.02652	0.02652	NUM
brj-24486	218	17	0.01617	0.01617	NUM
brj-24486	218	18	f(x	f(x	PROPN
brj-24486	218	19	)	)	PUNCT
brj-24486	218	20	=	=	SYM
brj-24486	219	1	exp(-ktn	exp(-ktn	VERB
brj-24486	219	2	)	)	PUNCT
brj-24486	219	3	0.57398	0.57398	NUM
brj-24486	219	4	k	k	NOUN
brj-24486	219	5	=	=	SYM
brj-24486	219	6	1.629e-08	1.629e-08	NOUN
brj-24486	219	7	,	,	PUNCT
brj-24486	219	8	n	n	NOUN
brj-24486	219	9	=	=	NUM
brj-24486	220	1	2.979	2.979	NUM
brj-24486	220	2	0.3207	0.3207	NUM
brj-24486	220	3	6.581	6.581	NUM
brj-24486	220	4	f(t	f(t	NOUN
brj-24486	220	5	)	)	PUNCT
brj-24486	220	6	=	=	SYM
brj-24486	220	7	a	a	DET
brj-24486	220	8	exp(-ktn	exp(-ktn	NOUN
brj-24486	220	9	)	)	PUNCT
brj-24486	220	10	+	+	CCONJ
brj-24486	220	11	(	(	PUNCT
brj-24486	220	12	1	1	NUM
brj-24486	220	13	-	-	PUNCT
brj-24486	220	14	a	a	NOUN
brj-24486	220	15	)	)	PUNCT
brj-24486	220	16	exp(-gtn	exp(-gtn	PROPN
brj-24486	220	17	)	)	PUNCT
brj-24486	221	1	0.95142	0.95142	NUM
brj-24486	221	2	a	a	DET
brj-24486	221	3	=	=	NOUN
brj-24486	221	4	1.954	1.954	NUM
brj-24486	221	5	,	,	PUNCT
brj-24486	221	6	k	k	PROPN
brj-24486	221	7	=	=	SYM
brj-24486	221	8	.002078	.002078	PROPN
brj-24486	221	9	,	,	PUNCT
brj-24486	221	10	g	g	NOUN
brj-24486	221	11	=	=	PROPN
brj-24486	221	12	1.403	1.403	NUM
brj-24486	221	13	,	,	PUNCT
brj-24486	221	14	n	n	NOUN
brj-24486	221	15	=	=	SYM
brj-24486	221	16	1.178	1.178	NUM
brj-24486	221	17	0.1148	0.1148	NUM
brj-24486	221	18	0.29	0.29	NUM
brj-24486	221	19	f(t	f(t	NOUN
brj-24486	221	20	)	)	PUNCT
brj-24486	221	21	=	=	SYM
brj-24486	221	22	a	a	DET
brj-24486	221	23	exp(-k	exp(-k	ADJ
brj-24486	221	24	tn	tn	NOUN
brj-24486	221	25	)	)	PUNCT
brj-24486	222	1	+	+	CCONJ
brj-24486	223	1	c	c	VERB
brj-24486	223	2	exp(-g	exp(-g	PROPN
brj-24486	223	3	tn	tn	PROPN
brj-24486	223	4	)	)	PUNCT
brj-24486	223	5	0.9993	0.9993	NUM
brj-24486	223	6	a	a	DET
brj-24486	223	7	=	=	NOUN
brj-24486	223	8	1.125	1.125	NUM
brj-24486	223	9	,	,	PUNCT
brj-24486	223	10	k=2.499e-05	k=2.499e-05	PROPN
brj-24486	223	11	,	,	PUNCT
brj-24486	223	12	c	c	NOUN
brj-24486	223	13	=	=	SYM
brj-24486	223	14	0.7501	0.7501	NUM
brj-24486	223	15	,	,	PUNCT
brj-24486	223	16	g	g	PROPN
brj-24486	223	17	=	=	SYM
brj-24486	223	18	0.00024	0.00024	NUM
brj-24486	223	19	,	,	PUNCT
brj-24486	223	20	n	n	NOUN
brj-24486	223	21	=	=	NUM
brj-24486	223	22	1.87	1.87	NUM
brj-24486	223	23	0.00760	0.00760	NUM
brj-24486	223	24	1	1	NUM
brj-24486	223	25	0.001213	0.001213	NUM
brj-24486	223	26	f(t	f(t	NOUN
brj-24486	223	27	)	)	PUNCT
brj-24486	223	28	=	=	SYM
brj-24486	223	29	a	a	DET
brj-24486	223	30	exp(-ktn	exp(-ktn	NOUN
brj-24486	223	31	)	)	PUNCT
brj-24486	223	32	+	+	NUM
brj-24486	223	33	ct	ct	PROPN
brj-24486	223	34	0.99776	0.99776	NUM
brj-24486	223	35	a	a	DET
brj-24486	223	36	=	=	SYM
brj-24486	223	37	1.907	1.907	NUM
brj-24486	223	38	,	,	PUNCT
brj-24486	223	39	k	k	X
brj-24486	223	40	=	=	SYM
brj-24486	223	41	0.002072	0.002072	NUM
brj-24486	223	42	,	,	PUNCT
brj-24486	223	43	c	c	NOUN
brj-24486	223	44	=	=	SYM
brj-24486	223	45	-3.828e-05	-3.828e-05	PROPN
brj-24486	223	46	,	,	PUNCT
brj-24486	223	47	n	n	NOUN
brj-24486	223	48	=	=	NUM
brj-24486	223	49	1.168	1.168	NUM
brj-24486	223	50	0.02442	0.02442	NUM
brj-24486	223	51	0.01311	0.01311	NUM
brj-24486	223	52	f(t	f(t	NOUN
brj-24486	223	53	)	)	PUNCT
brj-24486	223	54	=	=	SYM
brj-24486	224	1	1+at+kt2	1+at+kt2	NUM
brj-24486	224	2	0.6171	0.6171	NUM
brj-24486	224	3	a	a	DET
brj-24486	224	4	=	=	PUNCT
brj-24486	224	5	-0.002029	-0.002029	NOUN
brj-24486	224	6	,	,	PUNCT
brj-24486	224	7	k	k	X
brj-24486	224	8	=	=	PUNCT
brj-24486	224	9	7.124e-07	7.124e-07	NUM
brj-24486	224	10	0.3084	0.3084	NUM
brj-24486	224	11	2.282	2.282	NUM
brj-24486	224	12	f(t	f(t	NOUN
brj-24486	224	13	)	)	PUNCT
brj-24486	224	14	=	=	SYM
brj-24486	225	1	a	a	DET
brj-24486	225	2	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	225	3	]	]	X
brj-24486	225	4	0.99734	0.99734	NUM
brj-24486	225	5	a	a	DET
brj-24486	225	6	=	=	NOUN
brj-24486	225	7	1.898	1.898	NUM
brj-24486	225	8	,	,	PUNCT
brj-24486	225	9	k	k	PROPN
brj-24486	225	10	=	=	SYM
brj-24486	225	11	0.0051	0.0051	NUM
brj-24486	225	12	,	,	PUNCT
brj-24486	225	13	n	n	NOUN
brj-24486	225	14	=	=	NUM
brj-24486	225	15	1.208	1.208	NUM
brj-24486	225	16	o.02652	o.02652	NOUN
brj-24486	225	17	0.01617	0.01617	NUM
brj-24486	225	18	f(t	f(t	NOUN
brj-24486	225	19	)	)	PUNCT
brj-24486	225	20	=	=	SYM
brj-24486	226	1	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	226	2	]	]	X
brj-24486	226	3	0.9608	0.9608	NUM
brj-24486	226	4	k	k	X
brj-24486	226	5	=	=	PUNCT
brj-24486	226	6	0.003214	0.003214	NUM
brj-24486	226	7	,	,	PUNCT
brj-24486	226	8	n	n	NOUN
brj-24486	226	9	=	=	NUM
brj-24486	226	10	2.116	2.116	NUM
brj-24486	226	11	0.9868	0.9868	NUM
brj-24486	226	12	0.2337	0.2337	NUM
brj-24486	226	13	f(t	f(t	NOUN
brj-24486	226	14	)	)	PUNCT
brj-24486	226	15	=	=	SYM
brj-24486	226	16	a	a	DET
brj-24486	226	17	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	226	18	]	]	X
brj-24486	226	19	+	+	NUM
brj-24486	226	20	c	c	NOUN
brj-24486	226	21	0.99776	0.99776	NUM
brj-24486	226	22	a	a	DET
brj-24486	226	23	=	=	NOUN
brj-24486	226	24	1.937	1.937	NUM
brj-24486	226	25	,	,	PUNCT
brj-24486	226	26	k	k	PROPN
brj-24486	226	27	=	=	SYM
brj-24486	226	28	0.00498	0.00498	NUM
brj-24486	226	29	,	,	PUNCT
brj-24486	226	30	c	c	NOUN
brj-24486	226	31	=	=	SYM
brj-24486	226	32	-0.02897	-0.02897	PROPN
brj-24486	226	33	,	,	PUNCT
brj-24486	226	34	n	n	PROPN
brj-24486	226	35	=	=	NUM
brj-24486	226	36	1.16	1.16	NUM
brj-24486	226	37	0.02445	0.02445	NUM
brj-24486	226	38	0.01316	0.01316	NUM
brj-24486	226	39	additionally	additionally	ADV
brj-24486	226	40	,	,	PUNCT
brj-24486	226	41	kong	kong	PROPN
brj-24486	226	42	et	et	PROPN
brj-24486	226	43	al	al	PROPN
brj-24486	226	44	.	.	PROPN
brj-24486	226	45	(	(	PUNCT
brj-24486	226	46	2020	2020	NUM
brj-24486	226	47	)	)	PUNCT
brj-24486	226	48	presented	present	VERB
brj-24486	226	49	a	a	DET
brj-24486	226	50	complex	complex	ADJ
brj-24486	226	51	model	model	NOUN
brj-24486	226	52	(	(	PUNCT
brj-24486	226	53	the	the	DET
brj-24486	226	54	yun	yun	PROPN
brj-24486	226	55	model	model	PROPN
brj-24486	226	56	)	)	PUNCT
brj-24486	226	57	with	with	ADP
brj-24486	226	58	five	five	NUM
brj-24486	226	59	fixed	fix	VERB
brj-24486	226	60	parameters	parameter	NOUN
brj-24486	226	61	for	for	ADP
brj-24486	226	62	predicting	predict	VERB
brj-24486	226	63	the	the	DET
brj-24486	226	64	drying	dry	VERB
brj-24486	226	65	kinetics	kinetic	NOUN
brj-24486	226	66	of	of	ADP
brj-24486	226	67	pulpboard	pulpboard	NOUN
brj-24486	226	68	,	,	PUNCT
brj-24486	226	69	achieving	achieve	VERB
brj-24486	226	70	very	very	ADV
brj-24486	226	71	high	high	ADJ
brj-24486	226	72	accuracy	accuracy	NOUN
brj-24486	226	73	(	(	PUNCT
brj-24486	226	74	adjusted	adjust	VERB
brj-24486	226	75	r²	r²	NOUN
brj-24486	226	76	=	=	NOUN
brj-24486	226	77	0.999	0.999	NUM
brj-24486	226	78	;	;	PUNCT
brj-24486	226	79	rmse	rmse	NOUN
brj-24486	226	80	=	=	NOUN
brj-24486	226	81	0.003	0.003	NUM
brj-24486	226	82	)	)	PUNCT
brj-24486	226	83	.	.	PUNCT
brj-24486	227	1	the	the	DET
brj-24486	227	2	drying	dry	VERB
brj-24486	227	3	behavior	behavior	NOUN
brj-24486	227	4	of	of	ADP
brj-24486	227	5	sawdust	sawdust	NOUN
brj-24486	227	6	mixtures	mixture	NOUN
brj-24486	227	7	has	have	AUX
brj-24486	227	8	also	also	ADV
brj-24486	227	9	been	be	AUX
brj-24486	227	10	investigated	investigate	VERB
brj-24486	227	11	by	by	ADP
brj-24486	227	12	górnicki	górnicki	PROPN
brj-24486	227	13	et	et	PROPN
brj-24486	227	14	al	al	PROPN
brj-24486	227	15	.	.	PUNCT
brj-24486	228	1	(	(	PUNCT
brj-24486	228	2	2016	2016	NUM
brj-24486	228	3	)	)	PUNCT
brj-24486	228	4	,	,	PUNCT
brj-24486	228	5	who	who	PRON
brj-24486	228	6	reported	report	VERB
brj-24486	228	7	that	that	SCONJ
brj-24486	228	8	the	the	DET
brj-24486	228	9	logarithmic	logarithmic	ADJ
brj-24486	228	10	,	,	PUNCT
brj-24486	228	11	noomhorm	noomhorm	NOUN
brj-24486	228	12	,	,	PUNCT
brj-24486	228	13	verma	verma	PROPN
brj-24486	228	14	(	(	PUNCT
brj-24486	228	15	kaleta	kaleta	PROPN
brj-24486	228	16	and	and	CCONJ
brj-24486	228	17	gornicki	gornicki	NOUN
brj-24486	228	18	2010	2010	NUM
brj-24486	228	19	)	)	PUNCT
brj-24486	228	20	,	,	PUNCT
brj-24486	228	21	demir	demir	PROPN
brj-24486	228	22	et	et	PROPN
brj-24486	228	23	al	al	PROPN
brj-24486	228	24	.	.	PROPN
brj-24486	229	1	(	(	PUNCT
brj-24486	229	2	2007	2007	NUM
brj-24486	229	3	)	)	PUNCT
brj-24486	229	4	,	,	PUNCT
brj-24486	229	5	and	and	CCONJ
brj-24486	229	6	midilli	midilli	PROPN
brj-24486	229	7	et	et	PROPN
brj-24486	229	8	al	al	PROPN
brj-24486	229	9	.	.	PROPN
brj-24486	230	1	(	(	PUNCT
brj-24486	230	2	2002	2002	NUM
brj-24486	230	3	)	)	PUNCT
brj-24486	230	4	models	model	NOUN
brj-24486	230	5	showed	show	VERB
brj-24486	230	6	the	the	DET
brj-24486	230	7	best	good	ADJ
brj-24486	230	8	performance	performance	NOUN
brj-24486	230	9	when	when	SCONJ
brj-24486	230	10	fitting	fitting	ADJ
brj-24486	230	11	experimental	experimental	ADJ
brj-24486	230	12	data	datum	NOUN
brj-24486	230	13	.	.	PUNCT
brj-24486	231	1	however	however	ADV
brj-24486	231	2	,	,	PUNCT
brj-24486	231	3	buzrul	buzrul	NOUN
brj-24486	231	4	(	(	PUNCT
brj-24486	231	5	2022	2022	NUM
brj-24486	231	6	)	)	PUNCT
brj-24486	231	7	emphasized	emphasize	VERB
brj-24486	231	8	that	that	SCONJ
brj-24486	231	9	in	in	ADP
brj-24486	231	10	complex	complex	ADJ
brj-24486	231	11	models	model	NOUN
brj-24486	231	12	—	—	PUNCT
brj-24486	231	13	particularly	particularly	ADV
brj-24486	231	14	those	those	PRON
brj-24486	231	15	with	with	ADP
brj-24486	231	16	more	more	ADJ
brj-24486	231	17	than	than	ADP
brj-24486	231	18	two	two	NUM
brj-24486	231	19	parameters	parameter	NOUN
brj-24486	231	20	—	—	PUNCT
brj-24486	231	21	some	some	DET
brj-24486	231	22	parameters	parameter	NOUN
brj-24486	231	23	may	may	AUX
brj-24486	231	24	be	be	AUX
brj-24486	231	25	statistically	statistically	ADV
brj-24486	231	26	non	non	ADJ
brj-24486	231	27	-	-	ADJ
brj-24486	231	28	significant	significant	ADJ
brj-24486	231	29	(	(	PUNCT
brj-24486	231	30	p	p	X
brj-24486	231	31	>	>	X
brj-24486	231	32	0.05	0.05	NUM
brj-24486	231	33	)	)	PUNCT
brj-24486	231	34	,	,	PUNCT
brj-24486	231	35	and	and	CCONJ
brj-24486	231	36	therefore	therefore	ADV
brj-24486	231	37	the	the	DET
brj-24486	231	38	use	use	NOUN
brj-24486	231	39	of	of	ADP
brj-24486	231	40	unnecessarily	unnecessarily	ADV
brj-24486	231	41	complex	complex	ADJ
brj-24486	231	42	models	model	NOUN
brj-24486	231	43	may	may	AUX
brj-24486	231	44	not	not	PART
brj-24486	231	45	be	be	AUX
brj-24486	231	46	justified	justify	VERB
brj-24486	231	47	.	.	PUNCT
brj-24486	232	1	in	in	ADP
brj-24486	232	2	the	the	DET
brj-24486	232	3	present	present	ADJ
brj-24486	232	4	study	study	NOUN
brj-24486	232	5	,	,	PUNCT
brj-24486	232	6	the	the	DET
brj-24486	232	7	adjusted	adjust	VERB
brj-24486	232	8	r²	r²	NOUN
brj-24486	232	9	and	and	CCONJ
brj-24486	232	10	rmse	rmse	ADJ
brj-24486	232	11	values	value	NOUN
brj-24486	232	12	for	for	ADP
brj-24486	232	13	the	the	DET
brj-24486	232	14	henderson	henderson	PROPN
brj-24486	232	15	and	and	CCONJ
brj-24486	232	16	pabis	pabis	NOUN
brj-24486	232	17	and	and	CCONJ
brj-24486	232	18	page	page	NOUN
brj-24486	232	19	models	model	NOUN
brj-24486	232	20	,	,	PUNCT
brj-24486	232	21	each	each	PRON
brj-24486	232	22	containing	contain	VERB
brj-24486	232	23	a	a	DET
brj-24486	232	24	maximum	maximum	NOUN
brj-24486	232	25	of	of	ADP
brj-24486	232	26	two	two	NUM
brj-24486	232	27	fixed	fix	VERB
brj-24486	232	28	parameters	parameter	NOUN
brj-24486	232	29	,	,	PUNCT
brj-24486	232	30	ranged	range	VERB
brj-24486	232	31	from	from	ADP
brj-24486	232	32	0.9785	0.9785	NUM
brj-24486	232	33	to	to	ADP
brj-24486	232	34	0.9832	0.9832	NUM
brj-24486	232	35	and	and	CCONJ
brj-24486	232	36	from	from	ADP
brj-24486	232	37	0.0998	0.0998	NUM
brj-24486	232	38	to	to	ADP
brj-24486	232	39	0.0824	0.0824	NUM
brj-24486	232	40	,	,	PUNCT
brj-24486	232	41	respectively	respectively	ADV
brj-24486	232	42	.	.	PUNCT
brj-24486	233	1	these	these	DET
brj-24486	233	2	adjusted	adjust	VERB
brj-24486	233	3	r²	r²	NOUN
brj-24486	233	4	values	value	NOUN
brj-24486	233	5	,	,	PUNCT
brj-24486	233	6	which	which	PRON
brj-24486	233	7	account	account	VERB
brj-24486	233	8	for	for	ADP
brj-24486	233	9	the	the	DET
brj-24486	233	10	number	number	NOUN
brj-24486	233	11	of	of	ADP
brj-24486	233	12	model	model	NOUN
brj-24486	233	13	parameters	parameter	NOUN
brj-24486	233	14	,	,	PUNCT
brj-24486	233	15	confirm	confirm	VERB
brj-24486	233	16	that	that	SCONJ
brj-24486	233	17	increasing	increase	VERB
brj-24486	233	18	model	model	NOUN
brj-24486	233	19	complexity	complexity	NOUN
brj-24486	233	20	does	do	AUX
brj-24486	233	21	not	not	PART
brj-24486	233	22	lead	lead	VERB
brj-24486	233	23	to	to	ADP
brj-24486	233	24	a	a	DET
brj-24486	233	25	meaningful	meaningful	ADJ
brj-24486	233	26	improvement	improvement	NOUN
brj-24486	233	27	in	in	ADP
brj-24486	233	28	predictive	predictive	ADJ
brj-24486	233	29	performance	performance	NOUN
brj-24486	233	30	.	.	PUNCT
brj-24486	234	1	therefore	therefore	ADV
brj-24486	234	2	,	,	PUNCT
brj-24486	234	3	it	it	PRON
brj-24486	234	4	can	can	AUX
brj-24486	234	5	be	be	AUX
brj-24486	234	6	concluded	conclude	VERB
brj-24486	234	7	that	that	SCONJ
brj-24486	234	8	the	the	DET
brj-24486	234	9	henderson	henderson	PROPN
brj-24486	234	10	and	and	CCONJ
brj-24486	234	11	pabis	pabis	NOUN
brj-24486	234	12	and	and	CCONJ
brj-24486	234	13	page	page	NOUN
brj-24486	234	14	models	model	NOUN
brj-24486	234	15	,	,	PUNCT
brj-24486	234	16	as	as	ADP
brj-24486	234	17	simple	simple	ADJ
brj-24486	234	18	and	and	CCONJ
brj-24486	234	19	statistically	statistically	ADV
brj-24486	234	20	efficient	efficient	ADJ
brj-24486	234	21	models	model	NOUN
brj-24486	234	22	,	,	PUNCT
brj-24486	234	23	are	be	AUX
brj-24486	234	24	the	the	DET
brj-24486	234	25	most	most	ADV
brj-24486	234	26	appropriate	appropriate	ADJ
brj-24486	234	27	choices	choice	NOUN
brj-24486	234	28	for	for	ADP
brj-24486	234	29	describing	describe	VERB
brj-24486	234	30	the	the	DET
brj-24486	234	31	thin	thin	ADJ
brj-24486	234	32	-	-	PUNCT
brj-24486	234	33	layer	layer	NOUN
brj-24486	234	34	drying	dry	VERB
brj-24486	234	35	process	process	NOUN
brj-24486	234	36	of	of	ADP
brj-24486	234	37	wood	wood	NOUN
brj-24486	234	38	fibers	fiber	NOUN
brj-24486	234	39	.	.	PUNCT
brj-24486	235	1	peer	peer	NOUN
brj-24486	235	2	-	-	PUNCT
brj-24486	235	3	reviewed	review	VERB
brj-24486	235	4	article	article	NOUN
brj-24486	235	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	235	6	arabi	arabi	PROPN
brj-24486	235	7	&	&	CCONJ
brj-24486	235	8	ghalehno	ghalehno	PROPN
brj-24486	235	9	(	(	PUNCT
brj-24486	235	10	2026	2026	NUM
brj-24486	235	11	)	)	PUNCT
brj-24486	235	12	.	.	PUNCT
brj-24486	236	1	“	"	PUNCT
brj-24486	236	2	wood	wood	NOUN
brj-24486	236	3	fiber	fiber	NOUN
brj-24486	236	4	drying	dry	VERB
brj-24486	236	5	,	,	PUNCT
brj-24486	236	6	”	"	PUNCT
brj-24486	236	7	bioresources	bioresource	NOUN
brj-24486	236	8	21(1	21(1	NUM
brj-24486	236	9	)	)	PUNCT
brj-24486	236	10	,	,	PUNCT
brj-24486	236	11	654	654	NUM
brj-24486	236	12	-	-	SYM
brj-24486	236	13	672	672	NUM
brj-24486	236	14	.	.	PUNCT
brj-24486	237	1	665	665	NUM
brj-24486	237	2	table	table	NOUN
brj-24486	237	3	4	4	NUM
brj-24486	237	4	.	.	PUNCT
brj-24486	238	1	statistical	statistical	ADJ
brj-24486	238	2	results	result	NOUN
brj-24486	238	3	and	and	CCONJ
brj-24486	238	4	drying	dry	VERB
brj-24486	238	5	constants	constant	NOUN
brj-24486	238	6	of	of	ADP
brj-24486	238	7	mathematical	mathematical	ADJ
brj-24486	238	8	models	model	NOUN
brj-24486	238	9	at	at	ADP
brj-24486	238	10	different	different	ADJ
brj-24486	238	11	drying	dry	VERB
brj-24486	238	12	temperature	temperature	NOUN
brj-24486	238	13	(	(	PUNCT
brj-24486	238	14	t	t	NOUN
brj-24486	238	15	=	=	SYM
brj-24486	238	16	135	135	NUM
brj-24486	238	17	°	°	NUM
brj-24486	238	18	c	c	NOUN
brj-24486	238	19	)	)	PUNCT
brj-24486	238	20	t	t	PROPN
brj-24486	238	21	model	model	NOUN
brj-24486	238	22	adj	adj	PROPN
brj-24486	238	23	.	.	PROPN
brj-24486	239	1	r2	r2	PROPN
brj-24486	239	2	constants	constants	PROPN
brj-24486	239	3	rsme	rsme	PROPN
brj-24486	239	4	sse	sse	PROPN
brj-24486	239	5	135	135	NUM
brj-24486	239	6	°	°	NOUN
brj-24486	239	7	c	c	NOUN
brj-24486	239	8	f(t	f(t	NOUN
brj-24486	239	9	)	)	PUNCT
brj-24486	239	10	=	=	SYM
brj-24486	239	11	exp(-kt	exp(-kt	X
brj-24486	239	12	)	)	PUNCT
brj-24486	239	13	0.9797	0.9797	NUM
brj-24486	240	1	k	k	X
brj-24486	240	2	=	=	PUNCT
brj-24486	240	3	0.006706	0.006706	NUM
brj-24486	240	4	0.07281	0.07281	NUM
brj-24486	240	5	0.1007	0.1007	NUM
brj-24486	240	6	f(t	f(t	NOUN
brj-24486	240	7	)	)	PUNCT
brj-24486	240	8	=	=	SYM
brj-24486	240	9	a	a	DET
brj-24486	240	10	exp(-kt	exp(-kt	NOUN
brj-24486	240	11	)	)	PUNCT
brj-24486	240	12	0.99678	0.99678	NUM
brj-24486	241	1	a	a	DET
brj-24486	241	2	=	=	SYM
brj-24486	241	3	2.366	2.366	NUM
brj-24486	241	4	,	,	PUNCT
brj-24486	241	5	b	b	NOUN
brj-24486	241	6	=	=	SYM
brj-24486	241	7	0.01029	0.01029	NUM
brj-24486	241	8	0.02914	0.02914	NUM
brj-24486	241	9	0.01528	0.01528	NUM
brj-24486	241	10	f(t	f(t	NOUN
brj-24486	241	11	)	)	PUNCT
brj-24486	241	12	=	=	SYM
brj-24486	241	13	a	a	DET
brj-24486	241	14	exp(-kt	exp(-kt	NOUN
brj-24486	241	15	)	)	PUNCT
brj-24486	242	1	+	+	ADP
brj-24486	242	2	c	c	NOUN
brj-24486	242	3	0.98404	0.98404	NUM
brj-24486	242	4	a	a	DET
brj-24486	242	5	=	=	NOUN
brj-24486	242	6	2.083	2.083	NUM
brj-24486	242	7	,	,	PUNCT
brj-24486	242	8	b	b	NOUN
brj-24486	242	9	=	=	SYM
brj-24486	242	10	0.008413	0.008413	NUM
brj-24486	242	11	,	,	PUNCT
brj-24486	242	12	c	c	NOUN
brj-24486	242	13	=	=	PRON
brj-24486	242	14	-0.05057	-0.05057	VERB
brj-24486	242	15	0.06703	0.06703	NUM
brj-24486	242	16	0.07638	0.07638	NUM
brj-24486	242	17	f(t	f(t	NOUN
brj-24486	242	18	)	)	PUNCT
brj-24486	242	19	=	=	PUNCT
brj-24486	242	20	a	a	DET
brj-24486	242	21	exp(-k1	exp(-k1	PROPN
brj-24486	242	22	t	t	NOUN
brj-24486	242	23	)	)	PUNCT
brj-24486	242	24	+	+	NUM
brj-24486	242	25	c	c	PROPN
brj-24486	242	26	exp(-k2	exp(-k2	PROPN
brj-24486	242	27	t	t	PROPN
brj-24486	242	28	)	)	PUNCT
brj-24486	242	29	0.99916	0.99916	NUM
brj-24486	242	30	a	a	DET
brj-24486	242	31	=	=	SYM
brj-24486	242	32	2.411	2.411	NUM
brj-24486	242	33	,	,	PUNCT
brj-24486	242	34	k	k	X
brj-24486	242	35	=	=	SYM
brj-24486	242	36	0.01053	0.01053	NUM
brj-24486	242	37	,	,	PUNCT
brj-24486	242	38	k1	k1	NOUN
brj-24486	242	39	=	=	SYM
brj-24486	242	40	0.975	0.975	NUM
brj-24486	242	41	,	,	PUNCT
brj-24486	242	42	c	c	NOUN
brj-24486	242	43	=	=	NOUN
brj-24486	242	44	-0.5302	-0.5302	NOUN
brj-24486	242	45	0.01536	0.01536	NUM
brj-24486	242	46	0.003775	0.003775	NUM
brj-24486	242	47	f(t	f(t	NOUN
brj-24486	242	48	)	)	PUNCT
brj-24486	242	49	=	=	PUNCT
brj-24486	242	50	a	a	DET
brj-24486	242	51	exp(-k1	exp(-k1	PROPN
brj-24486	242	52	t	t	NOUN
brj-24486	242	53	)	)	PUNCT
brj-24486	243	1	+	+	ADP
brj-24486	243	2	c	c	PROPN
brj-24486	243	3	exp(-k2	exp(-k2	PROPN
brj-24486	243	4	t	t	PROPN
brj-24486	243	5	)	)	PUNCT
brj-24486	243	6	+	+	PROPN
brj-24486	243	7	d	d	PROPN
brj-24486	243	8	0.9993	0.9993	NUM
brj-24486	243	9	a	a	DET
brj-24486	243	10	=	=	SYM
brj-24486	243	11	2.402	2.402	NUM
brj-24486	243	12	,	,	PUNCT
brj-24486	243	13	k	k	PROPN
brj-24486	243	14	=	=	SYM
brj-24486	243	15	0.01029	0.01029	NUM
brj-24486	243	16	,	,	PUNCT
brj-24486	243	17	k1	k1	NOUN
brj-24486	243	18	=	=	SYM
brj-24486	243	19	0.975	0.975	NUM
brj-24486	243	20	,	,	PUNCT
brj-24486	243	21	c	c	NOUN
brj-24486	243	22	=	=	SYM
brj-24486	243	23	-0.5089	-0.5089	NOUN
brj-24486	243	24	,	,	PUNCT
brj-24486	243	25	d	d	NOUN
brj-24486	243	26	=	=	SYM
brj-24486	243	27	-0.01262	-0.01262	NOUN
brj-24486	243	28	0.001748	0.001748	NUM
brj-24486	243	29	0.002727	0.002727	NUM
brj-24486	243	30	f(t	f(t	NOUN
brj-24486	243	31	)	)	PUNCT
brj-24486	243	32	=	=	PUNCT
brj-24486	243	33	a	a	DET
brj-24486	243	34	exp(-k1	exp(-k1	PROPN
brj-24486	243	35	t	t	NOUN
brj-24486	243	36	)	)	PUNCT
brj-24486	244	1	+	+	ADP
brj-24486	244	2	c	c	PROPN
brj-24486	244	3	exp(-k2	exp(-k2	PROPN
brj-24486	244	4	t	t	PROPN
brj-24486	244	5	)	)	PUNCT
brj-24486	245	1	+	+	CCONJ
brj-24486	245	2	d	d	PROPN
brj-24486	245	3	exp(-k3	exp(-k3	PROPN
brj-24486	245	4	t	t	PROPN
brj-24486	245	5	)	)	PUNCT
brj-24486	245	6	0.99916	0.99916	NUM
brj-24486	245	7	a	a	DET
brj-24486	245	8	=	=	SYM
brj-24486	245	9	2.411	2.411	NUM
brj-24486	245	10	,	,	PUNCT
brj-24486	245	11	k1	k1	NOUN
brj-24486	245	12	=	=	SYM
brj-24486	245	13	0.01054	0.01054	NUM
brj-24486	245	14	,	,	PUNCT
brj-24486	245	15	k2	k2	PROPN
brj-24486	245	16	=	=	SYM
brj-24486	245	17	0.975	0.975	NUM
brj-24486	245	18	,	,	PUNCT
brj-24486	245	19	k3	k3	X
brj-24486	245	20	=	=	NOUN
brj-24486	245	21	0.5469	0.5469	NUM
brj-24486	245	22	,	,	PUNCT
brj-24486	245	23	c	c	NOUN
brj-24486	245	24	=	=	PUNCT
brj-24486	245	25	-0.2046	-0.2046	NOUN
brj-24486	245	26	,	,	PUNCT
brj-24486	245	27	d	d	X
brj-24486	245	28	=	=	PRON
brj-24486	245	29	-0.3261	-0.3261	NOUN
brj-24486	246	1	0.01642	0.01642	NUM
brj-24486	246	2	0.003775	0.003775	NUM
brj-24486	246	3	f(t	f(t	NOUN
brj-24486	246	4	)	)	PUNCT
brj-24486	246	5	=	=	PUNCT
brj-24486	246	6	a	a	DET
brj-24486	246	7	exp(-k1	exp(-k1	PROPN
brj-24486	246	8	t	t	NOUN
brj-24486	246	9	)	)	PUNCT
brj-24486	247	1	+	+	NOUN
brj-24486	247	2	(	(	PUNCT
brj-24486	247	3	1	1	NUM
brj-24486	247	4	-	-	PUNCT
brj-24486	247	5	a	a	NOUN
brj-24486	247	6	)	)	PUNCT
brj-24486	247	7	exp(-ak2	exp(-ak2	PRON
brj-24486	247	8	t	t	PROPN
brj-24486	247	9	)	)	PUNCT
brj-24486	247	10	0.83788	0.83788	NUM
brj-24486	247	11	a	a	DET
brj-24486	247	12	=	=	NUM
brj-24486	247	13	2.411	2.411	NUM
brj-24486	247	14	,	,	PUNCT
brj-24486	247	15	k1	k1	NOUN
brj-24486	247	16	=	=	SYM
brj-24486	247	17	0.01054	0.01054	NUM
brj-24486	247	18	,	,	PUNCT
brj-24486	247	19	k2	k2	NOUN
brj-24486	247	20	=	=	PROPN
brj-24486	247	21	0.975	0.975	NUM
brj-24486	247	22	0.2141	0.2141	NUM
brj-24486	247	23	0.7795	0.7795	NUM
brj-24486	247	24	f(t	f(t	NOUN
brj-24486	247	25	)	)	PUNCT
brj-24486	247	26	=	=	SYM
brj-24486	247	27	a	a	DET
brj-24486	247	28	exp(-kt	exp(-kt	NOUN
brj-24486	247	29	)	)	PUNCT
brj-24486	248	1	+	+	ADJ
brj-24486	248	2	(	(	PUNCT
brj-24486	248	3	1	1	NUM
brj-24486	248	4	-	-	PUNCT
brj-24486	248	5	a	a	PRON
brj-24486	248	6	)	)	PUNCT
brj-24486	248	7	exp(-gt	exp(-gt	NOUN
brj-24486	248	8	)	)	PUNCT
brj-24486	248	9	0.8376	0.8376	VERB
brj-24486	248	10	a	a	DET
brj-24486	248	11	=	=	NUM
brj-24486	248	12	2.411	2.411	NUM
brj-24486	248	13	,	,	PUNCT
brj-24486	248	14	k	k	PROPN
brj-24486	248	15	=	=	SYM
brj-24486	248	16	0.01054	0.01054	NUM
brj-24486	248	17	,	,	PUNCT
brj-24486	248	18	g	g	PROPN
brj-24486	248	19	=	=	PROPN
brj-24486	248	20	0.9649	0.9649	NUM
brj-24486	248	21	0.2141	0.2141	NUM
brj-24486	248	22	0.7795	0.7795	NUM
brj-24486	248	23	f(t	f(t	NOUN
brj-24486	248	24	)	)	PUNCT
brj-24486	248	25	=	=	SYM
brj-24486	248	26	a	a	DET
brj-24486	248	27	exp(-ktn	exp(-ktn	NOUN
brj-24486	248	28	)	)	PUNCT
brj-24486	248	29	0.9958	0.9958	NUM
brj-24486	248	30	a	a	DET
brj-24486	248	31	=	=	SYM
brj-24486	248	32	1.932	1.932	NUM
brj-24486	248	33	,	,	PUNCT
brj-24486	248	34	k	k	PROPN
brj-24486	248	35	=	=	SYM
brj-24486	248	36	0.001844	0.001844	NUM
brj-24486	248	37	,	,	PUNCT
brj-24486	248	38	n	n	NOUN
brj-24486	248	39	=	=	NUM
brj-24486	248	40	1.312	1.312	NUM
brj-24486	248	41	0.03431	0.03431	NUM
brj-24486	248	42	0.02001	0.02001	NUM
brj-24486	248	43	f(t	f(t	NOUN
brj-24486	248	44	)	)	PUNCT
brj-24486	248	45	=	=	SYM
brj-24486	248	46	exp(-ktn	exp(-ktn	VERB
brj-24486	248	47	)	)	PUNCT
brj-24486	248	48	0.68836	0.68836	NUM
brj-24486	248	49	k	k	NOUN
brj-24486	248	50	=	=	PUNCT
brj-24486	248	51	6.524e-07	6.524e-07	NUM
brj-24486	248	52	,	,	PUNCT
brj-24486	248	53	n	n	X
brj-24486	248	54	=	=	NUM
brj-24486	248	55	2.718	2.718	NUM
brj-24486	248	56	0.2882	0.2882	NUM
brj-24486	248	57	1.495	1.495	NUM
brj-24486	248	58	f(t	f(t	NOUN
brj-24486	248	59	)	)	PUNCT
brj-24486	248	60	=	=	SYM
brj-24486	248	61	a	a	DET
brj-24486	248	62	exp(-ktn	exp(-ktn	NOUN
brj-24486	248	63	)	)	PUNCT
brj-24486	248	64	+	+	ADJ
brj-24486	248	65	(	(	PUNCT
brj-24486	248	66	1	1	NUM
brj-24486	248	67	-	-	PUNCT
brj-24486	248	68	a	a	NOUN
brj-24486	248	69	)	)	PUNCT
brj-24486	248	70	exp(-gtn	exp(-gtn	PROPN
brj-24486	248	71	)	)	PUNCT
brj-24486	248	72	0.83774	0.83774	NUM
brj-24486	248	73	a	a	DET
brj-24486	248	74	=	=	SYM
brj-24486	248	75	2.288	2.288	NUM
brj-24486	248	76	,	,	PUNCT
brj-24486	248	77	k	k	PROPN
brj-24486	248	78	=	=	SYM
brj-24486	248	79	0.007153	0.007153	PROPN
brj-24486	248	80	,	,	PUNCT
brj-24486	248	81	g	g	PROPN
brj-24486	248	82	=	=	PROPN
brj-24486	248	83	0.9649	0.9649	NUM
brj-24486	248	84	,	,	PUNCT
brj-24486	248	85	n	n	NOUN
brj-24486	248	86	=	=	NUM
brj-24486	248	87	1.07	1.07	NUM
brj-24486	248	88	0.2206	0.2206	NUM
brj-24486	248	89	0.7784	0.7784	NUM
brj-24486	248	90	f(t	f(t	NOUN
brj-24486	248	91	)	)	PUNCT
brj-24486	248	92	=	=	SYM
brj-24486	248	93	a	a	DET
brj-24486	248	94	exp(-ktn)+	exp(-ktn)+	NOUN
brj-24486	248	95	c	c	PROPN
brj-24486	248	96	exp(-gtn	exp(-gtn	PROPN
brj-24486	248	97	)	)	PUNCT
brj-24486	248	98	0.9993	0.9993	NUM
brj-24486	248	99	a	a	DET
brj-24486	248	100	=	=	SYM
brj-24486	248	101	2.288	2.288	NUM
brj-24486	248	102	,	,	PUNCT
brj-24486	248	103	k	k	PROPN
brj-24486	248	104	=	=	SYM
brj-24486	248	105	0.007151	0.007151	NUM
brj-24486	248	106	,	,	PUNCT
brj-24486	248	107	g	g	PROPN
brj-24486	248	108	=	=	SYM
brj-24486	248	109	0.975	0.975	NUM
brj-24486	248	110	,	,	PUNCT
brj-24486	248	111	c	c	NOUN
brj-24486	248	112	=	=	SYM
brj-24486	248	113	-0.4077	-0.4077	PROPN
brj-24486	248	114	,	,	PUNCT
brj-24486	248	115	n	n	NOUN
brj-24486	248	116	=	=	NUM
brj-24486	248	117	1.07	1.07	NUM
brj-24486	248	118	0.001326	0.001326	NUM
brj-24486	248	119	0.001638	0.001638	NUM
brj-24486	248	120	f(t	f(t	NOUN
brj-24486	248	121	)	)	PUNCT
brj-24486	248	122	=	=	SYM
brj-24486	248	123	a	a	DET
brj-24486	248	124	exp(-ktn	exp(-ktn	NOUN
brj-24486	248	125	)	)	PUNCT
brj-24486	248	126	+	+	CCONJ
brj-24486	248	127	ct	ct	NUM
brj-24486	248	128	0.96766	0.96766	NUM
brj-24486	248	129	a	a	DET
brj-24486	248	130	=	=	SYM
brj-24486	248	131	0.02299	0.02299	NUM
brj-24486	248	132	,	,	PUNCT
brj-24486	248	133	b	b	NOUN
brj-24486	248	134	=	=	SYM
brj-24486	248	135	-0.001318	-0.001318	NOUN
brj-24486	248	136	,	,	PUNCT
brj-24486	248	137	k	k	PROPN
brj-24486	249	1	=	=	PROPN
brj-24486	249	2	-5.648	-5.648	PROPN
brj-24486	249	3	,	,	PUNCT
brj-24486	249	4	c	c	X
brj-24486	249	5	=	=	PUNCT
brj-24486	249	6	-0.06798	-0.06798	NOUN
brj-24486	250	1	0.09136	0.09136	NUM
brj-24486	250	2	0.1753	0.1753	NUM
brj-24486	250	3	f(t	f(t	NOUN
brj-24486	250	4	)	)	PUNCT
brj-24486	250	5	=	=	SYM
brj-24486	250	6	1+at+kt2	1+at+kt2	NUM
brj-24486	250	7	0.93434	0.93434	NUM
brj-24486	250	8	a	a	DET
brj-24486	250	9	=	=	X
brj-24486	250	10	-0.004318	-0.004318	NOUN
brj-24486	250	11	,	,	PUNCT
brj-24486	250	12	k	k	PROPN
brj-24486	250	13	=	=	PUNCT
brj-24486	250	14	4.627e-06	4.627e-06	NUM
brj-24486	250	15	0.1323	0.1323	NUM
brj-24486	250	16	0.3149	0.3149	NUM
brj-24486	250	17	f(t	f(t	NOUN
brj-24486	250	18	)	)	PUNCT
brj-24486	250	19	=	=	SYM
brj-24486	250	20	a	a	DET
brj-24486	250	21	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	250	22	]	]	X
brj-24486	250	23	0.9958	0.9958	NUM
brj-24486	250	24	a	a	DET
brj-24486	250	25	=	=	SYM
brj-24486	250	26	1.932	1.932	NUM
brj-24486	250	27	,	,	PUNCT
brj-24486	250	28	k	k	PROPN
brj-24486	250	29	=	=	SYM
brj-24486	250	30	0.008252	0.008252	NUM
brj-24486	250	31	,	,	PUNCT
brj-24486	250	32	n	n	NOUN
brj-24486	250	33	=	=	NUM
brj-24486	250	34	1.312	1.312	NUM
brj-24486	250	35	0.03431	0.03431	NUM
brj-24486	250	36	0.02001	0.02001	NUM
brj-24486	250	37	f(t	f(t	NOUN
brj-24486	250	38	)	)	PUNCT
brj-24486	250	39	=	=	SYM
brj-24486	251	1	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	251	2	]	]	X
brj-24486	251	3	0.6885	0.6885	NUM
brj-24486	251	4	k	k	X
brj-24486	251	5	=	=	SYM
brj-24486	251	6	0.005315	0.005315	NUM
brj-24486	251	7	,	,	PUNCT
brj-24486	251	8	n	n	NOUN
brj-24486	251	9	=	=	NUM
brj-24486	251	10	2.791	2.791	NUM
brj-24486	251	11	0.2882	0.2882	NUM
brj-24486	251	12	1.495	1.495	NUM
brj-24486	251	13	f(x	f(x	PROPN
brj-24486	251	14	)	)	PUNCT
brj-24486	251	15	=	=	PUNCT
brj-24486	252	1	a	a	DET
brj-24486	252	2	exp[-(kt)n	exp[-(kt)n	PROPN
brj-24486	252	3	]	]	X
brj-24486	253	1	+	+	NUM
brj-24486	253	2	c	c	NOUN
brj-24486	253	3	0.99608	0.99608	NUM
brj-24486	253	4	a	a	DET
brj-24486	253	5	=	=	NUM
brj-24486	253	6	1.913	1.913	NUM
brj-24486	253	7	,	,	PUNCT
brj-24486	253	8	k	k	X
brj-24486	253	9	=	=	SYM
brj-24486	253	10	0.008354	0.008354	NUM
brj-24486	253	11	,	,	PUNCT
brj-24486	253	12	c	c	NOUN
brj-24486	253	13	=	=	SYM
brj-24486	253	14	0.01465	0.01465	NUM
brj-24486	253	15	,	,	PUNCT
brj-24486	253	16	n	n	NOUN
brj-24486	253	17	=	=	NUM
brj-24486	253	18	1.344	1.344	NUM
brj-24486	253	19	0.03409	0.03409	NUM
brj-24486	253	20	0.0186	0.0186	NUM
brj-24486	253	21	ann	ann	PROPN
brj-24486	253	22	model	model	NOUN
brj-24486	253	23	a	a	DET
brj-24486	253	24	multilayer	multilayer	ADJ
brj-24486	253	25	perceptron	perceptron	NOUN
brj-24486	253	26	consisting	consist	VERB
brj-24486	253	27	of	of	ADP
brj-24486	253	28	layers	layer	NOUN
brj-24486	253	29	with	with	ADP
brj-24486	253	30	one	one	NUM
brj-24486	253	31	or	or	CCONJ
brj-24486	253	32	more	more	ADJ
brj-24486	253	33	neurons	neuron	NOUN
brj-24486	253	34	with	with	ADP
brj-24486	253	35	different	different	ADJ
brj-24486	253	36	activation	activation	NOUN
brj-24486	253	37	functions	function	NOUN
brj-24486	253	38	was	be	AUX
brj-24486	253	39	employed	employ	VERB
brj-24486	253	40	to	to	PART
brj-24486	253	41	optimize	optimize	VERB
brj-24486	253	42	the	the	DET
brj-24486	253	43	perceptron	perceptron	PROPN
brj-24486	253	44	network	network	NOUN
brj-24486	253	45	.	.	PUNCT
brj-24486	254	1	the	the	DET
brj-24486	254	2	mlp	mlp	PROPN
brj-24486	254	3	model	model	NOUN
brj-24486	254	4	was	be	AUX
brj-24486	254	5	developed	develop	VERB
brj-24486	254	6	based	base	VERB
brj-24486	254	7	on	on	ADP
brj-24486	254	8	temperature	temperature	NOUN
brj-24486	254	9	and	and	CCONJ
brj-24486	254	10	drying	dry	VERB
brj-24486	254	11	time	time	NOUN
brj-24486	254	12	as	as	ADP
brj-24486	254	13	input	input	NOUN
brj-24486	254	14	variables	variable	NOUN
brj-24486	254	15	and	and	CCONJ
brj-24486	254	16	moisture	moisture	NOUN
brj-24486	254	17	content	content	NOUN
brj-24486	254	18	as	as	ADP
brj-24486	254	19	an	an	DET
brj-24486	254	20	output	output	NOUN
brj-24486	254	21	variable	variable	NOUN
brj-24486	254	22	.	.	PUNCT
brj-24486	255	1	the	the	DET
brj-24486	255	2	number	number	NOUN
brj-24486	255	3	of	of	ADP
brj-24486	255	4	neurons	neuron	NOUN
brj-24486	255	5	in	in	ADP
brj-24486	255	6	the	the	DET
brj-24486	255	7	hidden	hide	VERB
brj-24486	255	8	layer	layer	NOUN
brj-24486	255	9	is	be	AUX
brj-24486	255	10	the	the	DET
brj-24486	255	11	variable	variable	ADJ
brj-24486	255	12	(	(	PUNCT
brj-24486	255	13	x	x	NOUN
brj-24486	255	14	)	)	PUNCT
brj-24486	255	15	.	.	PUNCT
brj-24486	256	1	experimental	experimental	ADJ
brj-24486	256	2	data	datum	NOUN
brj-24486	256	3	were	be	AUX
brj-24486	256	4	separated	separate	VERB
brj-24486	256	5	into	into	ADP
brj-24486	256	6	three	three	NUM
brj-24486	256	7	groups	group	NOUN
brj-24486	256	8	for	for	ADP
brj-24486	256	9	the	the	DET
brj-24486	256	10	ann	ann	PROPN
brj-24486	256	11	modeling	modeling	NOUN
brj-24486	256	12	,	,	PUNCT
brj-24486	256	13	including	include	VERB
brj-24486	256	14	training	training	NOUN
brj-24486	256	15	(	(	PUNCT
brj-24486	256	16	70	70	NUM
brj-24486	256	17	%	%	NOUN
brj-24486	256	18	)	)	PUNCT
brj-24486	256	19	,	,	PUNCT
brj-24486	256	20	validation	validation	NOUN
brj-24486	256	21	(	(	PUNCT
brj-24486	256	22	15	15	NUM
brj-24486	256	23	%	%	NOUN
brj-24486	256	24	)	)	PUNCT
brj-24486	256	25	,	,	PUNCT
brj-24486	256	26	and	and	CCONJ
brj-24486	256	27	testing	testing	NOUN
brj-24486	256	28	(	(	PUNCT
brj-24486	256	29	15	15	NUM
brj-24486	256	30	%	%	NOUN
brj-24486	256	31	)	)	PUNCT
brj-24486	256	32	.	.	PUNCT
brj-24486	257	1	after	after	ADP
brj-24486	257	2	training	training	NOUN
brj-24486	257	3	and	and	CCONJ
brj-24486	257	4	testing	test	VERB
brj-24486	257	5	the	the	DET
brj-24486	257	6	network	network	NOUN
brj-24486	257	7	,	,	PUNCT
brj-24486	257	8	the	the	DET
brj-24486	257	9	findings	finding	NOUN
brj-24486	257	10	revealed	reveal	VERB
brj-24486	257	11	that	that	SCONJ
brj-24486	257	12	topology	topology	NOUN
brj-24486	257	13	2	2	NUM
brj-24486	257	14	-	-	SYM
brj-24486	257	15	5	5	NUM
brj-24486	257	16	-	-	SYM
brj-24486	257	17	1	1	NUM
brj-24486	257	18	with	with	ADP
brj-24486	257	19	hyperbolic	hyperbolic	ADJ
brj-24486	257	20	tangent	tangent	NOUN
brj-24486	257	21	sigmoid	sigmoid	NOUN
brj-24486	257	22	transfer	transfer	NOUN
brj-24486	257	23	functions	function	NOUN
brj-24486	257	24	provided	provide	VERB
brj-24486	257	25	the	the	DET
brj-24486	257	26	greatest	great	ADJ
brj-24486	257	27	training	training	NOUN
brj-24486	257	28	for	for	ADP
brj-24486	257	29	moisture	moisture	NOUN
brj-24486	257	30	modeling	modeling	NOUN
brj-24486	257	31	.	.	PUNCT
brj-24486	258	1	the	the	DET
brj-24486	258	2	r	r	NOUN
brj-24486	258	3	values	value	NOUN
brj-24486	258	4	for	for	SCONJ
brj-24486	258	5	mr	mr	PROPN
brj-24486	258	6	for	for	ADP
brj-24486	258	7	neural	neural	ADJ
brj-24486	258	8	network	network	NOUN
brj-24486	258	9	training	training	NOUN
brj-24486	258	10	,	,	PUNCT
brj-24486	258	11	validation	validation	NOUN
brj-24486	258	12	,	,	PUNCT
brj-24486	258	13	and	and	CCONJ
brj-24486	258	14	testing	testing	NOUN
brj-24486	258	15	data	datum	NOUN
brj-24486	258	16	are	be	AUX
brj-24486	258	17	shown	show	VERB
brj-24486	258	18	in	in	ADP
brj-24486	258	19	fig	fig	NOUN
brj-24486	258	20	.	.	PUNCT
brj-24486	259	1	6	6	NUM
brj-24486	259	2	.	.	X
brj-24486	259	3	in	in	ADP
brj-24486	259	4	the	the	DET
brj-24486	259	5	training	training	NOUN
brj-24486	259	6	,	,	PUNCT
brj-24486	259	7	validation	validation	NOUN
brj-24486	259	8	,	,	PUNCT
brj-24486	259	9	and	and	CCONJ
brj-24486	259	10	testing	testing	NOUN
brj-24486	259	11	data	datum	NOUN
brj-24486	259	12	,	,	PUNCT
brj-24486	259	13	as	as	ADV
brj-24486	259	14	well	well	ADV
brj-24486	259	15	as	as	ADP
brj-24486	259	16	the	the	DET
brj-24486	259	17	total	total	ADJ
brj-24486	259	18	data	datum	NOUN
brj-24486	259	19	,	,	PUNCT
brj-24486	259	20	the	the	DET
brj-24486	259	21	r	r	NOUN
brj-24486	259	22	-	-	PUNCT
brj-24486	259	23	values	value	NOUN
brj-24486	259	24	for	for	ADP
brj-24486	259	25	mr	mr	PROPN
brj-24486	259	26	were	be	AUX
brj-24486	259	27	0.99956	0.99956	NUM
brj-24486	259	28	,	,	PUNCT
brj-24486	259	29	0.99979	0.99979	NUM
brj-24486	259	30	,	,	PUNCT
brj-24486	259	31	0.99947	0.99947	NUM
brj-24486	259	32	,	,	PUNCT
brj-24486	259	33	and	and	CCONJ
brj-24486	259	34	0.99958	0.99958	NUM
brj-24486	259	35	,	,	PUNCT
brj-24486	259	36	respectively	respectively	ADV
brj-24486	259	37	.	.	PUNCT
brj-24486	260	1	according	accord	VERB
brj-24486	260	2	to	to	ADP
brj-24486	260	3	table	table	NOUN
brj-24486	260	4	5	5	NUM
brj-24486	260	5	,	,	PUNCT
brj-24486	260	6	the	the	DET
brj-24486	260	7	total	total	ADJ
brj-24486	260	8	data	datum	NOUN
brj-24486	260	9	in	in	ADP
brj-24486	260	10	the	the	DET
brj-24486	260	11	ann	ann	PROPN
brj-24486	260	12	model	model	NOUN
brj-24486	260	13	for	for	ADP
brj-24486	260	14	mr	mr	PROPN
brj-24486	260	15	prediction	prediction	NOUN
brj-24486	260	16	had	have	VERB
brj-24486	260	17	an	an	DET
brj-24486	260	18	absolute	absolute	ADJ
brj-24486	260	19	mean	mean	ADJ
brj-24486	260	20	percent	percent	NOUN
brj-24486	260	21	error	error	NOUN
brj-24486	260	22	(	(	PUNCT
brj-24486	260	23	mape	mape	NOUN
brj-24486	260	24	)	)	PUNCT
brj-24486	260	25	of	of	ADP
brj-24486	260	26	2.53	2.53	NUM
brj-24486	260	27	%	%	NOUN
brj-24486	260	28	.	.	PUNCT
brj-24486	261	1	the	the	DET
brj-24486	261	2	ann	ann	PROPN
brj-24486	261	3	showed	show	VERB
brj-24486	261	4	a	a	DET
brj-24486	261	5	higher	high	ADJ
brj-24486	261	6	capacity	capacity	NOUN
brj-24486	261	7	to	to	PART
brj-24486	261	8	predict	predict	VERB
brj-24486	261	9	the	the	DET
brj-24486	261	10	moisture	moisture	NOUN
brj-24486	261	11	content	content	NOUN
brj-24486	261	12	of	of	ADP
brj-24486	261	13	wood	wood	NOUN
brj-24486	261	14	fibers	fiber	NOUN
brj-24486	261	15	than	than	ADP
brj-24486	261	16	regression	regression	NOUN
brj-24486	261	17	and	and	CCONJ
brj-24486	261	18	thin	thin	ADJ
brj-24486	261	19	-	-	PUNCT
brj-24486	261	20	layer	layer	NOUN
brj-24486	261	21	drying	dry	VERB
brj-24486	261	22	models	model	NOUN
brj-24486	261	23	,	,	PUNCT
brj-24486	261	24	as	as	SCONJ
brj-24486	261	25	evidenced	evidence	VERB
brj-24486	261	26	by	by	ADP
brj-24486	261	27	the	the	DET
brj-24486	261	28	high	high	ADJ
brj-24486	261	29	coefficient	coefficient	NOUN
brj-24486	261	30	of	of	ADP
brj-24486	261	31	determination	determination	NOUN
brj-24486	261	32	and	and	CCONJ
brj-24486	261	33	low	low	ADJ
brj-24486	261	34	error	error	NOUN
brj-24486	261	35	percentage	percentage	NOUN
brj-24486	261	36	between	between	ADP
brj-24486	261	37	experimental	experimental	ADJ
brj-24486	261	38	and	and	CCONJ
brj-24486	261	39	predicted	predict	VERB
brj-24486	261	40	data	datum	NOUN
brj-24486	261	41	.	.	PUNCT
brj-24486	262	1	peer	peer	NOUN
brj-24486	262	2	-	-	PUNCT
brj-24486	262	3	reviewed	review	VERB
brj-24486	262	4	article	article	NOUN
brj-24486	262	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	262	6	arabi	arabi	PROPN
brj-24486	262	7	&	&	CCONJ
brj-24486	262	8	ghalehno	ghalehno	PROPN
brj-24486	262	9	(	(	PUNCT
brj-24486	262	10	2026	2026	NUM
brj-24486	262	11	)	)	PUNCT
brj-24486	262	12	.	.	PUNCT
brj-24486	263	1	“	"	PUNCT
brj-24486	263	2	wood	wood	NOUN
brj-24486	263	3	fiber	fiber	NOUN
brj-24486	263	4	drying	dry	VERB
brj-24486	263	5	,	,	PUNCT
brj-24486	263	6	”	"	PUNCT
brj-24486	263	7	bioresources	bioresource	NOUN
brj-24486	263	8	21(1	21(1	NUM
brj-24486	263	9	)	)	PUNCT
brj-24486	263	10	,	,	PUNCT
brj-24486	263	11	654	654	NUM
brj-24486	263	12	-	-	SYM
brj-24486	263	13	672	672	NUM
brj-24486	263	14	.	.	PUNCT
brj-24486	263	15	666	666	NUM
brj-24486	263	16	fig	fig	NOUN
brj-24486	263	17	.	.	PUNCT
brj-24486	264	1	6	6	X
brj-24486	264	2	.	.	X
brj-24486	264	3	regression	regression	NOUN
brj-24486	264	4	plots	plot	NOUN
brj-24486	264	5	of	of	ADP
brj-24486	264	6	the	the	DET
brj-24486	264	7	developed	develop	VERB
brj-24486	264	8	ann	ann	PROPN
brj-24486	264	9	model	model	NOUN
brj-24486	264	10	for	for	ADP
brj-24486	264	11	(	(	PUNCT
brj-24486	264	12	a	a	X
brj-24486	264	13	)	)	PUNCT
brj-24486	264	14	the	the	DET
brj-24486	264	15	training	training	NOUN
brj-24486	264	16	data	datum	NOUN
brj-24486	264	17	set	set	VERB
brj-24486	264	18	,	,	PUNCT
brj-24486	264	19	(	(	PUNCT
brj-24486	264	20	b	b	X
brj-24486	264	21	)	)	PUNCT
brj-24486	264	22	the	the	DET
brj-24486	264	23	validation	validation	NOUN
brj-24486	264	24	data	datum	NOUN
brj-24486	264	25	set	set	VERB
brj-24486	264	26	,	,	PUNCT
brj-24486	264	27	(	(	PUNCT
brj-24486	264	28	c	c	X
brj-24486	264	29	)	)	PUNCT
brj-24486	264	30	the	the	DET
brj-24486	264	31	testing	testing	NOUN
brj-24486	264	32	data	datum	NOUN
brj-24486	264	33	set	set	VERB
brj-24486	264	34	,	,	PUNCT
brj-24486	264	35	and	and	CCONJ
brj-24486	264	36	(	(	PUNCT
brj-24486	264	37	d	d	X
brj-24486	264	38	)	)	PUNCT
brj-24486	264	39	all	all	DET
brj-24486	264	40	data	datum	NOUN
brj-24486	264	41	table	table	NOUN
brj-24486	264	42	5	5	NUM
brj-24486	264	43	.	.	PUNCT
brj-24486	265	1	evaluation	evaluation	NOUN
brj-24486	265	2	of	of	ADP
brj-24486	265	3	the	the	DET
brj-24486	265	4	performance	performance	NOUN
brj-24486	265	5	of	of	ADP
brj-24486	265	6	ann	ann	PROPN
brj-24486	265	7	using	use	VERB
brj-24486	265	8	statistical	statistical	ADJ
brj-24486	265	9	parameters	parameter	NOUN
brj-24486	265	10	mape	mape	NOUN
brj-24486	265	11	mse	mse	PROPN
brj-24486	265	12	r	r	NOUN
brj-24486	265	13	parameter	parameter	NOUN
brj-24486	265	14	factor	factor	NOUN
brj-24486	265	15	0.000011	0.000011	NUM
brj-24486	265	16	0.99998	0.99998	NUM
brj-24486	265	17	training	train	VERB
brj-24486	265	18	0.000014	0.000014	NUM
brj-24486	265	19	0.99998	0.99998	NUM
brj-24486	265	20	validation	validation	NOUN
brj-24486	265	21	mc	mc	PROPN
brj-24486	265	22	0.00005	0.00005	NUM
brj-24486	265	23	0.99993	0.99993	NUM
brj-24486	265	24	testing	test	VERB
brj-24486	265	25	2.53	2.53	NUM
brj-24486	265	26	0.99997	0.99997	NUM
brj-24486	265	27	all	all	DET
brj-24486	265	28	data	datum	NOUN
brj-24486	265	29	figure	figure	VERB
brj-24486	265	30	7	7	NUM
brj-24486	265	31	depicts	depict	VERB
brj-24486	265	32	experimental	experimental	ADJ
brj-24486	265	33	data	datum	NOUN
brj-24486	265	34	against	against	ADP
brj-24486	265	35	predicted	predict	VERB
brj-24486	265	36	data	datum	NOUN
brj-24486	265	37	obtained	obtain	VERB
brj-24486	265	38	based	base	VERB
brj-24486	265	39	on	on	ADP
brj-24486	265	40	ann	ann	PROPN
brj-24486	265	41	models	model	NOUN
brj-24486	265	42	.	.	PUNCT
brj-24486	266	1	accordingly	accordingly	ADV
brj-24486	266	2	,	,	PUNCT
brj-24486	266	3	the	the	DET
brj-24486	266	4	neural	neural	ADJ
brj-24486	266	5	network	network	NOUN
brj-24486	266	6	predicted	predict	VERB
brj-24486	266	7	the	the	DET
brj-24486	266	8	experimental	experimental	ADJ
brj-24486	266	9	data	datum	NOUN
brj-24486	266	10	(	(	PUNCT
brj-24486	266	11	r2	r2	PROPN
brj-24486	266	12	)	)	PUNCT
brj-24486	266	13	more	more	ADV
brj-24486	266	14	accurately	accurately	ADV
brj-24486	266	15	than	than	ADP
brj-24486	266	16	midilli	midilli	PROPN
brj-24486	266	17	et	et	PROPN
brj-24486	266	18	al	al	PROPN
brj-24486	266	19	.	.	PROPN
brj-24486	267	1	(	(	PUNCT
brj-24486	267	2	2002	2002	NUM
brj-24486	267	3	)	)	PUNCT
brj-24486	267	4	model	model	NOUN
brj-24486	267	5	.	.	PUNCT
brj-24486	268	1	artificial	artificial	ADJ
brj-24486	268	2	neural	neural	ADJ
brj-24486	268	3	networks	network	NOUN
brj-24486	268	4	are	be	AUX
brj-24486	268	5	unique	unique	ADJ
brj-24486	268	6	machine	machine	NOUN
brj-24486	268	7	learning	learn	VERB
brj-24486	268	8	algorithms	algorithm	NOUN
brj-24486	268	9	that	that	PRON
brj-24486	268	10	mimic	mimic	VERB
brj-24486	268	11	the	the	DET
brj-24486	268	12	human	human	ADJ
brj-24486	268	13	brain	brain	NOUN
brj-24486	268	14	and	and	CCONJ
brj-24486	268	15	find	find	VERB
brj-24486	268	16	the	the	DET
brj-24486	268	17	relationship	relationship	NOUN
brj-24486	268	18	between	between	ADP
brj-24486	268	19	the	the	DET
brj-24486	268	20	data	data	NOUN
brj-24486	268	21	sets	set	NOUN
brj-24486	268	22	.	.	PUNCT
brj-24486	269	1	therefore	therefore	ADV
brj-24486	269	2	,	,	PUNCT
brj-24486	269	3	ann	ann	PROPN
brj-24486	269	4	can	can	AUX
brj-24486	269	5	learn	learn	VERB
brj-24486	269	6	from	from	ADP
brj-24486	269	7	the	the	DET
brj-24486	269	8	past	past	ADJ
brj-24486	269	9	data	datum	NOUN
brj-24486	269	10	and	and	CCONJ
brj-24486	269	11	improve	improve	VERB
brj-24486	269	12	its	its	PRON
brj-24486	269	13	performance	performance	NOUN
brj-24486	269	14	based	base	VERB
brj-24486	269	15	on	on	ADP
brj-24486	269	16	previous	previous	ADJ
brj-24486	269	17	experience	experience	NOUN
brj-24486	269	18	and	and	CCONJ
brj-24486	269	19	training	training	NOUN
brj-24486	269	20	.	.	PUNCT
brj-24486	270	1	moreover	moreover	ADV
brj-24486	270	2	,	,	PUNCT
brj-24486	270	3	the	the	DET
brj-24486	270	4	designed	design	VERB
brj-24486	270	5	program	program	NOUN
brj-24486	270	6	can	can	AUX
brj-24486	270	7	adapt	adapt	VERB
brj-24486	270	8	to	to	ADP
brj-24486	270	9	new	new	ADJ
brj-24486	270	10	peer	peer	NOUN
brj-24486	270	11	-	-	PUNCT
brj-24486	270	12	reviewed	review	VERB
brj-24486	270	13	article	article	NOUN
brj-24486	270	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	270	15	arabi	arabi	PROPN
brj-24486	270	16	&	&	CCONJ
brj-24486	270	17	ghalehno	ghalehno	PROPN
brj-24486	270	18	(	(	PUNCT
brj-24486	270	19	2026	2026	NUM
brj-24486	270	20	)	)	PUNCT
brj-24486	270	21	.	.	PUNCT
brj-24486	271	1	“	"	PUNCT
brj-24486	271	2	wood	wood	NOUN
brj-24486	271	3	fiber	fiber	NOUN
brj-24486	271	4	drying	dry	VERB
brj-24486	271	5	,	,	PUNCT
brj-24486	271	6	”	"	PUNCT
brj-24486	271	7	bioresources	bioresource	NOUN
brj-24486	271	8	21(1	21(1	NUM
brj-24486	271	9	)	)	PUNCT
brj-24486	271	10	,	,	PUNCT
brj-24486	271	11	654	654	NUM
brj-24486	271	12	-	-	SYM
brj-24486	271	13	672	672	NUM
brj-24486	271	14	.	.	NOUN
brj-24486	271	15	667	667	NUM
brj-24486	271	16	conditions	condition	NOUN
brj-24486	271	17	in	in	ADP
brj-24486	271	18	case	case	NOUN
brj-24486	271	19	of	of	ADP
brj-24486	271	20	data	datum	NOUN
brj-24486	271	21	change	change	NOUN
brj-24486	271	22	.	.	PUNCT
brj-24486	272	1	these	these	DET
brj-24486	272	2	two	two	NUM
brj-24486	272	3	factors	factor	NOUN
brj-24486	272	4	of	of	ADP
brj-24486	272	5	generalizability	generalizability	NOUN
brj-24486	272	6	and	and	CCONJ
brj-24486	272	7	adaptability	adaptability	NOUN
brj-24486	272	8	distinguish	distinguish	VERB
brj-24486	272	9	the	the	DET
brj-24486	272	10	ann	ann	PROPN
brj-24486	272	11	from	from	ADP
brj-24486	272	12	other	other	ADJ
brj-24486	272	13	modeling	modeling	NOUN
brj-24486	272	14	methods	method	NOUN
brj-24486	272	15	and	and	CCONJ
brj-24486	272	16	allow	allow	VERB
brj-24486	272	17	it	it	PRON
brj-24486	272	18	to	to	PART
brj-24486	272	19	provide	provide	VERB
brj-24486	272	20	better	well	ADJ
brj-24486	272	21	results	result	NOUN
brj-24486	272	22	than	than	ADP
brj-24486	272	23	other	other	ADJ
brj-24486	272	24	modeling	modeling	NOUN
brj-24486	272	25	methods	method	NOUN
brj-24486	272	26	.	.	PUNCT
brj-24486	273	1	many	many	ADJ
brj-24486	273	2	researchers	researcher	NOUN
brj-24486	273	3	have	have	AUX
brj-24486	273	4	utilized	utilize	VERB
brj-24486	273	5	anns	ann	NOUN
brj-24486	273	6	to	to	PART
brj-24486	273	7	predict	predict	VERB
brj-24486	273	8	the	the	DET
brj-24486	273	9	drying	dry	VERB
brj-24486	273	10	process	process	NOUN
brj-24486	273	11	of	of	ADP
brj-24486	273	12	wood	wood	NOUN
brj-24486	273	13	and	and	CCONJ
brj-24486	273	14	lignocellulosic	lignocellulosic	ADJ
brj-24486	273	15	materials	material	NOUN
brj-24486	273	16	.	.	PUNCT
brj-24486	274	1	these	these	DET
brj-24486	274	2	studies	study	NOUN
brj-24486	274	3	employed	employ	VERB
brj-24486	274	4	mape	mape	NOUN
brj-24486	274	5	,	,	PUNCT
brj-24486	274	6	mse	mse	NOUN
brj-24486	274	7	,	,	PUNCT
brj-24486	274	8	and	and	CCONJ
brj-24486	274	9	r2	r2	PROPN
brj-24486	274	10	statistical	statistical	ADJ
brj-24486	274	11	parameters	parameter	NOUN
brj-24486	274	12	as	as	ADP
brj-24486	274	13	the	the	DET
brj-24486	274	14	main	main	ADJ
brj-24486	274	15	comparison	comparison	NOUN
brj-24486	274	16	between	between	ADP
brj-24486	274	17	experimental	experimental	ADJ
brj-24486	274	18	and	and	CCONJ
brj-24486	274	19	predicted	predict	VERB
brj-24486	274	20	data	datum	NOUN
brj-24486	274	21	.	.	PUNCT
brj-24486	275	1	fig	fig	NOUN
brj-24486	275	2	.	.	PUNCT
brj-24486	276	1	7	7	X
brj-24486	276	2	.	.	X
brj-24486	276	3	comparison	comparison	NOUN
brj-24486	276	4	of	of	ADP
brj-24486	276	5	ann	ann	PROPN
brj-24486	276	6	predictions	prediction	NOUN
brj-24486	276	7	and	and	CCONJ
brj-24486	276	8	experimental	experimental	ADJ
brj-24486	276	9	data	datum	NOUN
brj-24486	276	10	fig	fig	NOUN
brj-24486	276	11	.	.	PUNCT
brj-24486	277	1	8	8	X
brj-24486	277	2	.	.	X
brj-24486	277	3	neural	neural	ADJ
brj-24486	277	4	network	network	NOUN
brj-24486	277	5	performance	performance	NOUN
brj-24486	277	6	by	by	ADP
brj-24486	277	7	period	period	NOUN
brj-24486	277	8	(	(	PUNCT
brj-24486	277	9	epoch	epoch	NOUN
brj-24486	277	10	)	)	PUNCT
brj-24486	277	11	for	for	ADP
brj-24486	277	12	training	training	NOUN
brj-24486	277	13	,	,	PUNCT
brj-24486	277	14	validation	validation	NOUN
brj-24486	277	15	,	,	PUNCT
brj-24486	277	16	and	and	CCONJ
brj-24486	277	17	testing	testing	NOUN
brj-24486	277	18	data	datum	NOUN
brj-24486	277	19	the	the	DET
brj-24486	277	20	findings	finding	NOUN
brj-24486	277	21	from	from	ADP
brj-24486	277	22	the	the	DET
brj-24486	277	23	current	current	ADJ
brj-24486	277	24	study	study	NOUN
brj-24486	277	25	are	be	AUX
brj-24486	277	26	consistent	consistent	ADJ
brj-24486	277	27	with	with	ADP
brj-24486	277	28	results	result	NOUN
brj-24486	277	29	from	from	ADP
brj-24486	277	30	previous	previous	ADJ
brj-24486	277	31	studies	study	NOUN
brj-24486	277	32	(	(	PUNCT
brj-24486	277	33	saxena	saxena	PROPN
brj-24486	277	34	et	et	PROPN
brj-24486	277	35	al	al	PROPN
brj-24486	277	36	.	.	PROPN
brj-24486	277	37	2022	2022	NUM
brj-24486	277	38	)	)	PUNCT
brj-24486	277	39	.	.	PUNCT
brj-24486	278	1	overfitting	overfitte	VERB
brj-24486	278	2	is	be	AUX
brj-24486	278	3	the	the	DET
brj-24486	278	4	most	most	ADV
brj-24486	278	5	common	common	ADJ
brj-24486	278	6	issue	issue	NOUN
brj-24486	278	7	in	in	ADP
brj-24486	278	8	neural	neural	ADJ
brj-24486	278	9	network	network	NOUN
brj-24486	278	10	training	training	NOUN
brj-24486	278	11	.	.	PUNCT
brj-24486	279	1	this	this	DET
brj-24486	279	2	issue	issue	NOUN
brj-24486	279	3	occurs	occur	VERB
brj-24486	279	4	when	when	SCONJ
brj-24486	279	5	a	a	DET
brj-24486	279	6	neural	neural	ADJ
brj-24486	279	7	network	network	NOUN
brj-24486	279	8	only	only	ADV
brj-24486	279	9	performs	perform	VERB
brj-24486	279	10	well	well	ADV
brj-24486	279	11	on	on	ADP
brj-24486	279	12	training	training	NOUN
brj-24486	279	13	data	datum	NOUN
brj-24486	279	14	and	and	CCONJ
brj-24486	279	15	does	do	AUX
brj-24486	279	16	not	not	PART
brj-24486	279	17	provide	provide	VERB
brj-24486	279	18	good	good	ADJ
brj-24486	279	19	results	result	NOUN
brj-24486	279	20	for	for	ADP
brj-24486	279	21	other	other	ADJ
brj-24486	279	22	data	data	NOUN
brj-24486	279	23	sets	set	NOUN
brj-24486	279	24	.	.	PUNCT
brj-24486	280	1	a	a	DET
brj-24486	280	2	periodic	periodic	ADJ
brj-24486	280	3	epoch	epoch	NOUN
brj-24486	280	4	performance	performance	NOUN
brj-24486	280	5	chart	chart	NOUN
brj-24486	280	6	for	for	ADP
brj-24486	280	7	a	a	DET
brj-24486	280	8	neural	neural	ADJ
brj-24486	280	9	network	network	NOUN
brj-24486	280	10	is	be	AUX
brj-24486	280	11	shown	show	VERB
brj-24486	280	12	in	in	ADP
brj-24486	280	13	fig	fig	NOUN
brj-24486	280	14	.	.	PUNCT
brj-24486	281	1	8	8	NUM
brj-24486	281	2	,	,	PUNCT
brj-24486	281	3	when	when	SCONJ
brj-24486	281	4	the	the	DET
brj-24486	281	5	error	error	NOUN
brj-24486	281	6	due	due	ADP
brj-24486	281	7	to	to	ADP
brj-24486	281	8	the	the	DET
brj-24486	281	9	validation	validation	NOUN
brj-24486	281	10	data	datum	NOUN
brj-24486	281	11	stays	stay	VERB
brj-24486	281	12	constant	constant	ADJ
brj-24486	281	13	for	for	ADP
brj-24486	281	14	six	six	NUM
brj-24486	281	15	consecutive	consecutive	ADJ
brj-24486	281	16	epochs	epoch	NOUN
brj-24486	281	17	,	,	PUNCT
brj-24486	281	18	the	the	DET
brj-24486	281	19	neural	neural	ADJ
brj-24486	281	20	network	network	NOUN
brj-24486	281	21	computation	computation	NOUN
brj-24486	281	22	stops	stop	VERB
brj-24486	281	23	.	.	PUNCT
brj-24486	282	1	y	y	NOUN
brj-24486	282	2	=	=	PUNCT
brj-24486	282	3	0.9991x	0.9991x	PROPN
brj-24486	283	1	+	+	NUM
brj-24486	283	2	0.0008	0.0008	NUM
brj-24486	283	3	r²	r²	NOUN
brj-24486	283	4	=	=	NOUN
brj-24486	283	5	0.9999	0.9999	NUM
brj-24486	283	6	0	0	NUM
brj-24486	283	7	0.2	0.2	NUM
brj-24486	283	8	0.4	0.4	NUM
brj-24486	283	9	0.6	0.6	NUM
brj-24486	283	10	0.8	0.8	NUM
brj-24486	283	11	1	1	NUM
brj-24486	283	12	1.2	1.2	NUM
brj-24486	283	13	1.4	1.4	NUM
brj-24486	283	14	1.6	1.6	NUM
brj-24486	283	15	1.8	1.8	NUM
brj-24486	283	16	2	2	NUM
brj-24486	283	17	0	0	NUM
brj-24486	283	18	0.2	0.2	NUM
brj-24486	283	19	0.4	0.4	NUM
brj-24486	283	20	0.6	0.6	NUM
brj-24486	283	21	0.8	0.8	NUM
brj-24486	283	22	1	1	NUM
brj-24486	283	23	1.2	1.2	NUM
brj-24486	283	24	1.4	1.4	NUM
brj-24486	283	25	1.6	1.6	NUM
brj-24486	283	26	1.8	1.8	NUM
brj-24486	283	27	2	2	NUM
brj-24486	283	28	a	a	DET
brj-24486	283	29	n	n	CCONJ
brj-24486	283	30	n	n	NOUN
brj-24486	283	31	p	p	NOUN
brj-24486	283	32	e	e	X
brj-24486	283	33	ri	ri	PROPN
brj-24486	283	34	d	d	X
brj-24486	283	35	ic	ic	PROPN
brj-24486	283	36	e	e	PROPN
brj-24486	283	37	d	d	PROPN
brj-24486	283	38	t	t	PROPN
brj-24486	283	39	d	d	X
brj-24486	283	40	a	a	DET
brj-24486	283	41	ta	ta	X
brj-24486	283	42	experimental	experimental	ADJ
brj-24486	283	43	data	datum	NOUN
brj-24486	283	44	peer	peer	NOUN
brj-24486	283	45	-	-	PUNCT
brj-24486	283	46	reviewed	review	VERB
brj-24486	283	47	article	article	NOUN
brj-24486	283	48	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	283	49	arabi	arabi	PROPN
brj-24486	283	50	&	&	CCONJ
brj-24486	283	51	ghalehno	ghalehno	PROPN
brj-24486	283	52	(	(	PUNCT
brj-24486	283	53	2026	2026	NUM
brj-24486	283	54	)	)	PUNCT
brj-24486	283	55	.	.	PUNCT
brj-24486	284	1	“	"	PUNCT
brj-24486	284	2	wood	wood	NOUN
brj-24486	284	3	fiber	fiber	NOUN
brj-24486	284	4	drying	dry	VERB
brj-24486	284	5	,	,	PUNCT
brj-24486	284	6	”	"	PUNCT
brj-24486	284	7	bioresources	bioresource	NOUN
brj-24486	284	8	21(1	21(1	NUM
brj-24486	284	9	)	)	PUNCT
brj-24486	284	10	,	,	PUNCT
brj-24486	284	11	654	654	NUM
brj-24486	284	12	-	-	SYM
brj-24486	284	13	672	672	NUM
brj-24486	284	14	.	.	NUM
brj-24486	284	15	668	668	NUM
brj-24486	284	16	as	as	SCONJ
brj-24486	284	17	shown	show	VERB
brj-24486	284	18	in	in	ADP
brj-24486	284	19	fig	fig	NOUN
brj-24486	284	20	.	.	PUNCT
brj-24486	285	1	8	8	NUM
brj-24486	285	2	,	,	PUNCT
brj-24486	285	3	after	after	ADP
brj-24486	285	4	25	25	NUM
brj-24486	285	5	epochs	epoch	NOUN
brj-24486	285	6	,	,	PUNCT
brj-24486	285	7	the	the	DET
brj-24486	285	8	error	error	NOUN
brj-24486	285	9	was	be	AUX
brj-24486	285	10	fixed	fix	VERB
brj-24486	285	11	in	in	ADP
brj-24486	285	12	the	the	DET
brj-24486	285	13	following	follow	VERB
brj-24486	285	14	six	six	NUM
brj-24486	285	15	consecutive	consecutive	ADJ
brj-24486	285	16	periods	period	NOUN
brj-24486	285	17	,	,	PUNCT
brj-24486	285	18	and	and	CCONJ
brj-24486	285	19	the	the	DET
brj-24486	285	20	forecasting	forecasting	NOUN
brj-24486	285	21	and	and	CCONJ
brj-24486	285	22	data	datum	NOUN
brj-24486	285	23	processing	processing	NOUN
brj-24486	285	24	was	be	AUX
brj-24486	285	25	stopped	stop	VERB
brj-24486	285	26	.	.	PUNCT
brj-24486	286	1	this	this	PRON
brj-24486	286	2	showed	show	VERB
brj-24486	286	3	the	the	DET
brj-24486	286	4	network	network	NOUN
brj-24486	286	5	has	have	AUX
brj-24486	286	6	been	be	AUX
brj-24486	286	7	well	well	ADV
brj-24486	286	8	-	-	PUNCT
brj-24486	286	9	trained	train	VERB
brj-24486	286	10	,	,	PUNCT
brj-24486	286	11	validated	validate	VERB
brj-24486	286	12	,	,	PUNCT
brj-24486	286	13	and	and	CCONJ
brj-24486	286	14	tested	test	VERB
brj-24486	286	15	.	.	PUNCT
brj-24486	287	1	sensitivity	sensitivity	NOUN
brj-24486	287	2	analysis	analysis	NOUN
brj-24486	287	3	of	of	ADP
brj-24486	287	4	ann	ann	PROPN
brj-24486	287	5	model	model	NOUN
brj-24486	287	6	a	a	DET
brj-24486	287	7	sensitivity	sensitivity	NOUN
brj-24486	287	8	analysis	analysis	NOUN
brj-24486	287	9	based	base	VERB
brj-24486	287	10	on	on	ADP
brj-24486	287	11	the	the	DET
brj-24486	287	12	garson	garson	PROPN
brj-24486	287	13	algorithm	algorithm	NOUN
brj-24486	287	14	was	be	AUX
brj-24486	287	15	conducted	conduct	VERB
brj-24486	287	16	to	to	PART
brj-24486	287	17	quantify	quantify	VERB
brj-24486	287	18	the	the	DET
brj-24486	287	19	effect	effect	NOUN
brj-24486	287	20	of	of	ADP
brj-24486	287	21	drying	dry	VERB
brj-24486	287	22	temperature	temperature	NOUN
brj-24486	287	23	and	and	CCONJ
brj-24486	287	24	time	time	NOUN
brj-24486	287	25	on	on	ADP
brj-24486	287	26	predicted	predict	VERB
brj-24486	287	27	moisture	moisture	NOUN
brj-24486	287	28	content	content	NOUN
brj-24486	287	29	.	.	PUNCT
brj-24486	288	1	the	the	DET
brj-24486	288	2	analysis	analysis	NOUN
brj-24486	288	3	revealed	reveal	VERB
brj-24486	288	4	that	that	SCONJ
brj-24486	288	5	temperature	temperature	NOUN
brj-24486	288	6	had	have	VERB
brj-24486	288	7	a	a	DET
brj-24486	288	8	dominant	dominant	ADJ
brj-24486	288	9	influence	influence	NOUN
brj-24486	288	10	(	(	PUNCT
brj-24486	288	11	normalized	normalize	VERB
brj-24486	288	12	sensitivity	sensitivity	NOUN
brj-24486	288	13	coefficient	coefficient	NOUN
brj-24486	288	14	=	=	NOUN
brj-24486	288	15	0.72	0.72	NUM
brj-24486	288	16	)	)	PUNCT
brj-24486	288	17	,	,	PUNCT
brj-24486	288	18	while	while	SCONJ
brj-24486	288	19	time	time	NOUN
brj-24486	288	20	contributed	contribute	VERB
brj-24486	288	21	less	less	ADJ
brj-24486	288	22	(	(	PUNCT
brj-24486	288	23	0.28	0.28	NUM
brj-24486	288	24	)	)	PUNCT
brj-24486	288	25	.	.	PUNCT
brj-24486	289	1	this	this	PRON
brj-24486	289	2	indicates	indicate	VERB
brj-24486	289	3	that	that	SCONJ
brj-24486	289	4	temperature	temperature	NOUN
brj-24486	289	5	changes	change	NOUN
brj-24486	289	6	have	have	VERB
brj-24486	289	7	a	a	DET
brj-24486	289	8	stronger	strong	ADJ
brj-24486	289	9	nonlinear	nonlinear	ADJ
brj-24486	289	10	effect	effect	NOUN
brj-24486	289	11	on	on	ADP
brj-24486	289	12	moisture	moisture	NOUN
brj-24486	289	13	removal	removal	NOUN
brj-24486	289	14	within	within	ADP
brj-24486	289	15	the	the	DET
brj-24486	289	16	ann	ann	PROPN
brj-24486	289	17	framework	framework	NOUN
brj-24486	289	18	.	.	PUNCT
brj-24486	290	1	comparison	comparison	NOUN
brj-24486	290	2	between	between	ADP
brj-24486	290	3	ann	ann	PROPN
brj-24486	290	4	and	and	CCONJ
brj-24486	290	5	classical	classical	ADJ
brj-24486	290	6	thin	thin	ADJ
brj-24486	290	7	-	-	PUNCT
brj-24486	290	8	layer	layer	NOUN
brj-24486	290	9	models	model	NOUN
brj-24486	290	10	the	the	DET
brj-24486	290	11	ann	ann	PROPN
brj-24486	290	12	model	model	NOUN
brj-24486	290	13	,	,	PUNCT
brj-24486	290	14	being	be	AUX
brj-24486	290	15	purely	purely	ADV
brj-24486	290	16	data	data	NOUN
brj-24486	290	17	-	-	PUNCT
brj-24486	290	18	driven	drive	VERB
brj-24486	290	19	,	,	PUNCT
brj-24486	290	20	can	can	AUX
brj-24486	290	21	capture	capture	VERB
brj-24486	290	22	such	such	ADJ
brj-24486	290	23	nonlinearities	nonlinearitie	NOUN
brj-24486	290	24	and	and	CCONJ
brj-24486	290	25	parameter	parameter	NOUN
brj-24486	290	26	interactions	interaction	NOUN
brj-24486	290	27	without	without	ADP
brj-24486	290	28	relying	rely	VERB
brj-24486	290	29	on	on	ADP
brj-24486	290	30	simplified	simplified	ADJ
brj-24486	290	31	assumptions	assumption	NOUN
brj-24486	290	32	.	.	PUNCT
brj-24486	291	1	at	at	ADP
brj-24486	291	2	higher	high	ADJ
brj-24486	291	3	drying	dry	VERB
brj-24486	291	4	temperatures	temperature	NOUN
brj-24486	291	5	(	(	PUNCT
brj-24486	291	6	120	120	NUM
brj-24486	291	7	to	to	PART
brj-24486	291	8	135	135	NUM
brj-24486	291	9	°	°	NOUN
brj-24486	291	10	c	c	NOUN
brj-24486	291	11	)	)	PUNCT
brj-24486	291	12	,	,	PUNCT
brj-24486	291	13	both	both	CCONJ
brj-24486	291	14	ann	ann	PROPN
brj-24486	291	15	and	and	CCONJ
brj-24486	291	16	the	the	DET
brj-24486	291	17	best	well	ADV
brj-24486	291	18	-	-	PUNCT
brj-24486	291	19	performing	perform	VERB
brj-24486	291	20	semi	semi	ADJ
brj-24486	291	21	-	-	ADJ
brj-24486	291	22	empirical	empirical	ADJ
brj-24486	291	23	models	model	NOUN
brj-24486	291	24	(	(	PUNCT
brj-24486	291	25	page	page	NOUN
brj-24486	291	26	and	and	CCONJ
brj-24486	291	27	henderson	henderson	PROPN
brj-24486	291	28	–	–	PUNCT
brj-24486	291	29	pabis	pabis	NOUN
brj-24486	291	30	)	)	PUNCT
brj-24486	291	31	produced	produce	VERB
brj-24486	291	32	comparable	comparable	ADJ
brj-24486	291	33	accuracy	accuracy	NOUN
brj-24486	291	34	,	,	PUNCT
brj-24486	291	35	whereas	whereas	SCONJ
brj-24486	291	36	at	at	ADP
brj-24486	291	37	lower	low	ADJ
brj-24486	291	38	temperature	temperature	NOUN
brj-24486	291	39	(	(	PUNCT
brj-24486	291	40	105	105	NUM
brj-24486	291	41	°	°	NOUN
brj-24486	291	42	c	c	NOUN
brj-24486	291	43	)	)	PUNCT
brj-24486	291	44	,	,	PUNCT
brj-24486	291	45	ann	ann	PROPN
brj-24486	291	46	performed	perform	VERB
brj-24486	291	47	better	well	ADV
brj-24486	291	48	due	due	ADP
brj-24486	291	49	to	to	ADP
brj-24486	291	50	its	its	PRON
brj-24486	291	51	flexibility	flexibility	NOUN
brj-24486	291	52	.	.	PUNCT
brj-24486	292	1	it	it	PRON
brj-24486	292	2	should	should	AUX
brj-24486	292	3	be	be	AUX
brj-24486	292	4	noted	note	VERB
brj-24486	292	5	that	that	SCONJ
brj-24486	292	6	classical	classical	ADJ
brj-24486	292	7	thin	thin	ADJ
brj-24486	292	8	-	-	PUNCT
brj-24486	292	9	layer	layer	NOUN
brj-24486	292	10	models	model	NOUN
brj-24486	292	11	(	(	PUNCT
brj-24486	292	12	e.g.	e.g.	ADV
brj-24486	292	13	,	,	PUNCT
brj-24486	292	14	page	page	NOUN
brj-24486	292	15	,	,	PUNCT
brj-24486	292	16	henderson	henderson	PROPN
brj-24486	292	17	–	–	PUNCT
brj-24486	292	18	pabis	pabis	NOUN
brj-24486	292	19	,	,	PUNCT
brj-24486	292	20	and	and	CCONJ
brj-24486	292	21	logarithmic	logarithmic	ADJ
brj-24486	292	22	)	)	PUNCT
brj-24486	292	23	provide	provide	VERB
brj-24486	292	24	echanistic	echanistic	ADJ
brj-24486	292	25	or	or	CCONJ
brj-24486	292	26	semi	semi	ADJ
brj-24486	292	27	-	-	ADJ
brj-24486	292	28	empirical	empirical	ADJ
brj-24486	292	29	insights	insight	NOUN
brj-24486	292	30	into	into	ADP
brj-24486	292	31	drying	dry	VERB
brj-24486	292	32	kinetics	kinetic	NOUN
brj-24486	292	33	,	,	PUNCT
brj-24486	292	34	but	but	CCONJ
brj-24486	292	35	their	their	PRON
brj-24486	292	36	accuracy	accuracy	NOUN
brj-24486	292	37	decreases	decrease	VERB
brj-24486	292	38	under	under	ADP
brj-24486	292	39	conditions	condition	NOUN
brj-24486	292	40	where	where	SCONJ
brj-24486	292	41	the	the	DET
brj-24486	292	42	drying	dry	VERB
brj-24486	292	43	curve	curve	NOUN
brj-24486	292	44	deviates	deviate	VERB
brj-24486	292	45	from	from	ADP
brj-24486	292	46	simple	simple	ADJ
brj-24486	292	47	exponential	exponential	ADJ
brj-24486	292	48	behavior	behavior	NOUN
brj-24486	292	49	.	.	PUNCT
brj-24486	293	1	the	the	DET
brj-24486	293	2	ann	ann	PROPN
brj-24486	293	3	model	model	NOUN
brj-24486	293	4	,	,	PUNCT
brj-24486	293	5	by	by	ADP
brj-24486	293	6	contrast	contrast	NOUN
brj-24486	293	7	,	,	PUNCT
brj-24486	293	8	is	be	AUX
brj-24486	293	9	a	a	DET
brj-24486	293	10	purely	purely	ADV
brj-24486	293	11	data	data	NOUN
brj-24486	293	12	-	-	PUNCT
brj-24486	293	13	driven	drive	VERB
brj-24486	293	14	approach	approach	NOUN
brj-24486	293	15	,	,	PUNCT
brj-24486	293	16	capable	capable	ADJ
brj-24486	293	17	of	of	ADP
brj-24486	293	18	capturing	capture	VERB
brj-24486	293	19	complex	complex	ADJ
brj-24486	293	20	nonlinearities	nonlinearitie	NOUN
brj-24486	293	21	in	in	ADP
brj-24486	293	22	drying	dry	VERB
brj-24486	293	23	behavior	behavior	NOUN
brj-24486	293	24	without	without	ADP
brj-24486	293	25	requiring	require	VERB
brj-24486	293	26	predefined	predefine	VERB
brj-24486	293	27	equations	equation	NOUN
brj-24486	293	28	.	.	PUNCT
brj-24486	294	1	a	a	DET
brj-24486	294	2	comparative	comparative	ADJ
brj-24486	294	3	interpretation	interpretation	NOUN
brj-24486	294	4	has	have	AUX
brj-24486	294	5	been	be	AUX
brj-24486	294	6	contributed	contribute	VERB
brj-24486	294	7	by	by	ADP
brj-24486	294	8	this	this	DET
brj-24486	294	9	work	work	NOUN
brj-24486	294	10	,	,	PUNCT
brj-24486	294	11	showing	show	VERB
brj-24486	294	12	that	that	SCONJ
brj-24486	294	13	ann	ann	PROPN
brj-24486	294	14	predictions	prediction	NOUN
brj-24486	294	15	aligned	align	VERB
brj-24486	294	16	well	well	ADV
brj-24486	294	17	with	with	ADP
brj-24486	294	18	the	the	DET
brj-24486	294	19	best	well	ADV
brj-24486	294	20	-	-	PUNCT
brj-24486	294	21	performing	perform	VERB
brj-24486	294	22	thin	thin	ADJ
brj-24486	294	23	-	-	PUNCT
brj-24486	294	24	layer	layer	NOUN
brj-24486	294	25	models	model	NOUN
brj-24486	294	26	at	at	ADP
brj-24486	294	27	higher	high	ADJ
brj-24486	294	28	temperatures	temperature	NOUN
brj-24486	294	29	,	,	PUNCT
brj-24486	294	30	while	while	SCONJ
brj-24486	294	31	outperforming	outperform	VERB
brj-24486	294	32	them	they	PRON
brj-24486	294	33	at	at	ADP
brj-24486	294	34	lower	low	ADJ
brj-24486	294	35	temperature	temperature	NOUN
brj-24486	294	36	(	(	PUNCT
brj-24486	294	37	105	105	NUM
brj-24486	294	38	°	°	NOUN
brj-24486	294	39	c	c	NOUN
brj-24486	294	40	)	)	PUNCT
brj-24486	294	41	,	,	PUNCT
brj-24486	294	42	where	where	SCONJ
brj-24486	294	43	model	model	NOUN
brj-24486	294	44	inadequacy	inadequacy	NOUN
brj-24486	294	45	was	be	AUX
brj-24486	294	46	observed	observe	VERB
brj-24486	294	47	.	.	PUNCT
brj-24486	295	1	finally	finally	ADV
brj-24486	295	2	,	,	PUNCT
brj-24486	295	3	the	the	DET
brj-24486	295	4	ann	ann	PROPN
brj-24486	295	5	approach	approach	NOUN
brj-24486	295	6	complements	complement	VERB
brj-24486	295	7	traditional	traditional	ADJ
brj-24486	295	8	models	model	NOUN
brj-24486	295	9	,	,	PUNCT
brj-24486	295	10	as	as	SCONJ
brj-24486	295	11	it	it	PRON
brj-24486	295	12	provides	provide	VERB
brj-24486	295	13	high	high	ADJ
brj-24486	295	14	predictive	predictive	ADJ
brj-24486	295	15	accuracy	accuracy	NOUN
brj-24486	295	16	,	,	PUNCT
brj-24486	295	17	whereas	whereas	SCONJ
brj-24486	295	18	classical	classical	ADJ
brj-24486	295	19	models	model	NOUN
brj-24486	295	20	remain	remain	VERB
brj-24486	295	21	useful	useful	ADJ
brj-24486	295	22	for	for	ADP
brj-24486	295	23	mechanistic	mechanistic	ADJ
brj-24486	295	24	interpretation	interpretation	NOUN
brj-24486	295	25	.	.	PUNCT
brj-24486	296	1	limitations	limitation	NOUN
brj-24486	296	2	of	of	ADP
brj-24486	296	3	the	the	DET
brj-24486	296	4	study	study	NOUN
brj-24486	296	5	this	this	DET
brj-24486	296	6	research	research	NOUN
brj-24486	296	7	was	be	AUX
brj-24486	296	8	conducted	conduct	VERB
brj-24486	296	9	using	use	VERB
brj-24486	296	10	a	a	DET
brj-24486	296	11	laboratory	laboratory	NOUN
brj-24486	296	12	-	-	PUNCT
brj-24486	296	13	scale	scale	NOUN
brj-24486	296	14	halogen	halogen	NOUN
brj-24486	296	15	moisture	moisture	NOUN
brj-24486	296	16	analyzer	analyzer	NOUN
brj-24486	296	17	(	(	PUNCT
brj-24486	296	18	mb45	mb45	PROPN
brj-24486	296	19	,	,	PUNCT
brj-24486	296	20	ohaus	ohaus	NOUN
brj-24486	296	21	)	)	PUNCT
brj-24486	296	22	,	,	PUNCT
brj-24486	296	23	which	which	PRON
brj-24486	296	24	,	,	PUNCT
brj-24486	296	25	despite	despite	SCONJ
brj-24486	296	26	offering	offer	VERB
brj-24486	296	27	precise	precise	ADJ
brj-24486	296	28	temperature	temperature	NOUN
brj-24486	296	29	control	control	NOUN
brj-24486	296	30	and	and	CCONJ
brj-24486	296	31	rapid	rapid	ADJ
brj-24486	296	32	moisture	moisture	NOUN
brj-24486	296	33	measurement	measurement	NOUN
brj-24486	296	34	,	,	PUNCT
brj-24486	296	35	presents	present	VERB
brj-24486	296	36	inherent	inherent	ADJ
brj-24486	296	37	limitations	limitation	NOUN
brj-24486	296	38	when	when	SCONJ
brj-24486	296	39	extrapolating	extrapolate	VERB
brj-24486	296	40	the	the	DET
brj-24486	296	41	results	result	NOUN
brj-24486	296	42	to	to	ADP
brj-24486	296	43	industrial	industrial	ADJ
brj-24486	296	44	drying	dry	VERB
brj-24486	296	45	systems	system	NOUN
brj-24486	296	46	.	.	PUNCT
brj-24486	297	1	the	the	DET
brj-24486	297	2	halogen	halogen	PROPN
brj-24486	297	3	dryer	dryer	NOUN
brj-24486	297	4	operates	operate	VERB
brj-24486	297	5	within	within	ADP
brj-24486	297	6	a	a	DET
brj-24486	297	7	small	small	ADJ
brj-24486	297	8	,	,	PUNCT
brj-24486	297	9	enclosed	enclosed	ADJ
brj-24486	297	10	chamber	chamber	NOUN
brj-24486	297	11	that	that	PRON
brj-24486	297	12	provides	provide	VERB
brj-24486	297	13	uniform	uniform	NOUN
brj-24486	297	14	but	but	CCONJ
brj-24486	297	15	static	static	ADJ
brj-24486	297	16	heat	heat	NOUN
brj-24486	297	17	transfer	transfer	NOUN
brj-24486	297	18	conditions	condition	NOUN
brj-24486	297	19	,	,	PUNCT
brj-24486	297	20	which	which	PRON
brj-24486	297	21	do	do	AUX
brj-24486	297	22	not	not	PART
brj-24486	297	23	fully	fully	ADV
brj-24486	297	24	reflect	reflect	VERB
brj-24486	297	25	the	the	DET
brj-24486	297	26	dynamic	dynamic	ADJ
brj-24486	297	27	convective	convective	ADJ
brj-24486	297	28	heat	heat	NOUN
brj-24486	297	29	and	and	CCONJ
brj-24486	297	30	mass	mass	NOUN
brj-24486	297	31	transfer	transfer	NOUN
brj-24486	297	32	processes	process	NOUN
brj-24486	297	33	occurring	occur	VERB
brj-24486	297	34	in	in	ADP
brj-24486	297	35	industrial	industrial	ADJ
brj-24486	297	36	dryers	dryer	NOUN
brj-24486	297	37	.	.	PUNCT
brj-24486	298	1	in	in	ADP
brj-24486	298	2	addition	addition	NOUN
brj-24486	298	3	,	,	PUNCT
brj-24486	298	4	air	air	NOUN
brj-24486	298	5	velocity	velocity	NOUN
brj-24486	298	6	,	,	PUNCT
brj-24486	298	7	humidity	humidity	NOUN
brj-24486	298	8	,	,	PUNCT
brj-24486	298	9	and	and	CCONJ
brj-24486	298	10	fiber	fiber	NOUN
brj-24486	298	11	bed	bed	NOUN
brj-24486	298	12	thickness	thickness	NOUN
brj-24486	298	13	were	be	AUX
brj-24486	298	14	maintained	maintain	VERB
brj-24486	298	15	constant	constant	ADJ
brj-24486	298	16	throughout	throughout	ADP
brj-24486	298	17	the	the	DET
brj-24486	298	18	experiments	experiment	NOUN
brj-24486	298	19	,	,	PUNCT
brj-24486	298	20	thereby	thereby	ADV
brj-24486	298	21	limiting	limit	VERB
brj-24486	298	22	the	the	DET
brj-24486	298	23	ability	ability	NOUN
brj-24486	298	24	to	to	PART
brj-24486	298	25	analyze	analyze	VERB
brj-24486	298	26	their	their	PRON
brj-24486	298	27	combined	combine	VERB
brj-24486	298	28	effects	effect	NOUN
brj-24486	298	29	on	on	ADP
brj-24486	298	30	drying	dry	VERB
brj-24486	298	31	kinetics	kinetic	NOUN
brj-24486	298	32	.	.	PUNCT
brj-24486	299	1	the	the	DET
brj-24486	299	2	restricted	restrict	VERB
brj-24486	299	3	sample	sample	NOUN
brj-24486	299	4	size	size	NOUN
brj-24486	299	5	and	and	CCONJ
brj-24486	299	6	localized	localized	ADJ
brj-24486	299	7	heating	heating	NOUN
brj-24486	299	8	zone	zone	NOUN
brj-24486	299	9	may	may	AUX
brj-24486	299	10	also	also	ADV
brj-24486	299	11	lead	lead	VERB
brj-24486	299	12	to	to	ADP
brj-24486	299	13	thermal	thermal	ADJ
brj-24486	299	14	gradients	gradient	NOUN
brj-24486	299	15	and	and	CCONJ
brj-24486	299	16	non	non	ADJ
brj-24486	299	17	-	-	ADJ
brj-24486	299	18	uniform	uniform	ADJ
brj-24486	299	19	internal	internal	ADJ
brj-24486	299	20	moisture	moisture	NOUN
brj-24486	299	21	diffusion	diffusion	NOUN
brj-24486	299	22	,	,	PUNCT
brj-24486	299	23	differing	differ	VERB
brj-24486	299	24	from	from	ADP
brj-24486	299	25	large	large	ADJ
brj-24486	299	26	-	-	PUNCT
brj-24486	299	27	scale	scale	NOUN
brj-24486	299	28	drying	dry	VERB
brj-24486	299	29	behavior	behavior	NOUN
brj-24486	299	30	.	.	PUNCT
brj-24486	300	1	moreover	moreover	ADV
brj-24486	300	2	,	,	PUNCT
brj-24486	300	3	the	the	DET
brj-24486	300	4	predictive	predictive	ADJ
brj-24486	300	5	performance	performance	NOUN
brj-24486	300	6	of	of	ADP
brj-24486	300	7	the	the	DET
brj-24486	300	8	artificial	artificial	ADJ
brj-24486	300	9	neural	neural	ADJ
brj-24486	300	10	network	network	NOUN
brj-24486	300	11	(	(	PUNCT
brj-24486	300	12	ann	ann	PROPN
brj-24486	300	13	)	)	PUNCT
brj-24486	300	14	model	model	NOUN
brj-24486	300	15	is	be	AUX
brj-24486	300	16	highly	highly	ADV
brj-24486	300	17	dependent	dependent	ADJ
brj-24486	300	18	on	on	ADP
brj-24486	300	19	the	the	DET
brj-24486	300	20	size	size	NOUN
brj-24486	300	21	,	,	PUNCT
brj-24486	300	22	variability	variability	NOUN
brj-24486	300	23	,	,	PUNCT
brj-24486	300	24	and	and	CCONJ
brj-24486	300	25	representativeness	representativenes	VERB
brj-24486	300	26	of	of	ADP
brj-24486	300	27	the	the	DET
brj-24486	300	28	experimental	experimental	ADJ
brj-24486	300	29	dataset	dataset	NOUN
brj-24486	300	30	;	;	PUNCT
brj-24486	300	31	its	its	PRON
brj-24486	300	32	accuracy	accuracy	NOUN
brj-24486	300	33	may	may	AUX
brj-24486	300	34	decline	decline	VERB
brj-24486	300	35	when	when	SCONJ
brj-24486	300	36	applied	apply	VERB
brj-24486	300	37	to	to	ADP
brj-24486	300	38	untested	untested	ADJ
brj-24486	300	39	conditions	condition	NOUN
brj-24486	300	40	.	.	PUNCT
brj-24486	301	1	consequently	consequently	ADV
brj-24486	301	2	,	,	PUNCT
brj-24486	301	3	scaling	scale	VERB
brj-24486	301	4	up	up	ADP
brj-24486	301	5	these	these	DET
brj-24486	301	6	results	result	NOUN
brj-24486	301	7	requires	require	VERB
brj-24486	301	8	pilotor	pilotor	NOUN
brj-24486	301	9	industrial	industrial	ADJ
brj-24486	301	10	-	-	PUNCT
brj-24486	301	11	scale	scale	NOUN
brj-24486	301	12	studies	study	NOUN
brj-24486	301	13	that	that	PRON
brj-24486	301	14	account	account	VERB
brj-24486	301	15	for	for	ADP
brj-24486	301	16	variable	variable	ADJ
brj-24486	301	17	airflow	airflow	NOUN
brj-24486	301	18	,	,	PUNCT
brj-24486	301	19	humidity	humidity	NOUN
brj-24486	301	20	,	,	PUNCT
brj-24486	301	21	and	and	CCONJ
brj-24486	301	22	material	material	NOUN
brj-24486	301	23	loading	loading	NOUN
brj-24486	301	24	.	.	PUNCT
brj-24486	302	1	future	future	ADJ
brj-24486	302	2	research	research	NOUN
brj-24486	302	3	should	should	AUX
brj-24486	302	4	also	also	ADV
brj-24486	302	5	investigate	investigate	VERB
brj-24486	302	6	hybrid	hybrid	NOUN
brj-24486	302	7	or	or	CCONJ
brj-24486	302	8	physics	physics	NOUN
brj-24486	302	9	-	-	PUNCT
brj-24486	302	10	informed	inform	VERB
brj-24486	302	11	ann	ann	PROPN
brj-24486	302	12	models	model	NOUN
brj-24486	302	13	that	that	PRON
brj-24486	302	14	combine	combine	VERB
brj-24486	302	15	data	data	NOUN
brj-24486	302	16	-	-	PUNCT
brj-24486	302	17	driven	drive	VERB
brj-24486	302	18	learning	learning	NOUN
brj-24486	302	19	with	with	ADP
brj-24486	302	20	mechanistic	mechanistic	ADJ
brj-24486	302	21	understanding	understanding	NOUN
brj-24486	302	22	to	to	PART
brj-24486	302	23	enhance	enhance	VERB
brj-24486	302	24	both	both	DET
brj-24486	302	25	accuracy	accuracy	NOUN
brj-24486	302	26	and	and	CCONJ
brj-24486	302	27	interpretability	interpretability	NOUN
brj-24486	302	28	.	.	PUNCT
brj-24486	303	1	peer	peer	NOUN
brj-24486	303	2	-	-	PUNCT
brj-24486	303	3	reviewed	review	VERB
brj-24486	303	4	article	article	NOUN
brj-24486	303	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	303	6	arabi	arabi	PROPN
brj-24486	303	7	&	&	CCONJ
brj-24486	303	8	ghalehno	ghalehno	PROPN
brj-24486	303	9	(	(	PUNCT
brj-24486	303	10	2026	2026	NUM
brj-24486	303	11	)	)	PUNCT
brj-24486	303	12	.	.	PUNCT
brj-24486	304	1	“	"	PUNCT
brj-24486	304	2	wood	wood	NOUN
brj-24486	304	3	fiber	fiber	NOUN
brj-24486	304	4	drying	dry	VERB
brj-24486	304	5	,	,	PUNCT
brj-24486	304	6	”	"	PUNCT
brj-24486	304	7	bioresources	bioresource	NOUN
brj-24486	304	8	21(1	21(1	NUM
brj-24486	304	9	)	)	PUNCT
brj-24486	304	10	,	,	PUNCT
brj-24486	304	11	654	654	NUM
brj-24486	304	12	-	-	SYM
brj-24486	304	13	672	672	NUM
brj-24486	304	14	.	.	PUNCT
brj-24486	305	1	669	669	NUM
brj-24486	305	2	conclusions	conclusion	NOUN
brj-24486	305	3	several	several	ADJ
brj-24486	305	4	investigators	investigator	NOUN
brj-24486	305	5	have	have	AUX
brj-24486	305	6	proposed	propose	VERB
brj-24486	305	7	over	over	ADP
brj-24486	305	8	100	100	NUM
brj-24486	305	9	different	different	ADJ
brj-24486	305	10	semi	semi	ADJ
brj-24486	305	11	-	-	ADJ
brj-24486	305	12	theoretical	theoretical	ADJ
brj-24486	305	13	and	and	CCONJ
brj-24486	305	14	empirical	empirical	ADJ
brj-24486	305	15	thin	thin	ADJ
brj-24486	305	16	-	-	PUNCT
brj-24486	305	17	layer	layer	NOUN
brj-24486	305	18	drying	dry	VERB
brj-24486	305	19	models	model	NOUN
brj-24486	305	20	for	for	ADP
brj-24486	305	21	agricultural	agricultural	ADJ
brj-24486	305	22	products	product	NOUN
brj-24486	305	23	,	,	PUNCT
brj-24486	305	24	highlighting	highlight	VERB
brj-24486	305	25	the	the	DET
brj-24486	305	26	complexity	complexity	NOUN
brj-24486	305	27	and	and	CCONJ
brj-24486	305	28	variety	variety	NOUN
brj-24486	305	29	in	in	ADP
brj-24486	305	30	modeling	modeling	NOUN
brj-24486	305	31	approaches	approach	NOUN
brj-24486	305	32	.	.	PUNCT
brj-24486	306	1	in	in	ADP
brj-24486	306	2	this	this	DET
brj-24486	306	3	study	study	NOUN
brj-24486	306	4	,	,	PUNCT
brj-24486	306	5	the	the	DET
brj-24486	306	6	drying	dry	VERB
brj-24486	306	7	kinetics	kinetic	NOUN
brj-24486	306	8	of	of	ADP
brj-24486	306	9	wood	wood	NOUN
brj-24486	306	10	fibers	fiber	NOUN
brj-24486	306	11	were	be	AUX
brj-24486	306	12	evaluated	evaluate	VERB
brj-24486	306	13	using	use	VERB
brj-24486	306	14	18	18	NUM
brj-24486	306	15	semi	semi	ADJ
brj-24486	306	16	-	-	ADJ
brj-24486	306	17	empirical	empirical	ADJ
brj-24486	306	18	models	model	NOUN
brj-24486	306	19	and	and	CCONJ
brj-24486	306	20	an	an	DET
brj-24486	306	21	artificial	artificial	ADJ
brj-24486	306	22	neural	neural	ADJ
brj-24486	306	23	net	net	NOUN
brj-24486	306	24	(	(	PUNCT
brj-24486	306	25	ann	ann	PROPN
brj-24486	306	26	)	)	PUNCT
brj-24486	306	27	model	model	NOUN
brj-24486	306	28	to	to	PART
brj-24486	306	29	identify	identify	VERB
brj-24486	306	30	the	the	DET
brj-24486	306	31	simplest	simple	ADJ
brj-24486	306	32	model	model	NOUN
brj-24486	306	33	for	for	ADP
brj-24486	306	34	predicting	predict	VERB
brj-24486	306	35	moisture	moisture	NOUN
brj-24486	306	36	changes	change	NOUN
brj-24486	306	37	during	during	ADP
brj-24486	306	38	the	the	DET
brj-24486	306	39	drying	dry	VERB
brj-24486	306	40	process	process	NOUN
brj-24486	306	41	.	.	PUNCT
brj-24486	307	1	the	the	DET
brj-24486	307	2	performance	performance	NOUN
brj-24486	307	3	of	of	ADP
brj-24486	307	4	the	the	DET
brj-24486	307	5	thin	thin	ADJ
brj-24486	307	6	-	-	PUNCT
brj-24486	307	7	layer	layer	NOUN
brj-24486	307	8	drying	dry	VERB
brj-24486	307	9	models	model	NOUN
brj-24486	307	10	was	be	AUX
brj-24486	307	11	assessed	assess	VERB
brj-24486	307	12	based	base	VERB
brj-24486	307	13	on	on	ADP
brj-24486	307	14	statistical	statistical	ADJ
brj-24486	307	15	parameters	parameter	NOUN
brj-24486	307	16	,	,	PUNCT
brj-24486	307	17	including	include	VERB
brj-24486	307	18	r2	r2	NOUN
brj-24486	307	19	,	,	PUNCT
brj-24486	307	20	sum	sum	NOUN
brj-24486	307	21	of	of	ADP
brj-24486	307	22	the	the	DET
brj-24486	307	23	square	square	NOUN
brj-24486	307	24	of	of	ADP
brj-24486	307	25	errors	error	NOUN
brj-24486	307	26	(	(	PUNCT
brj-24486	307	27	sse	sse	NOUN
brj-24486	307	28	)	)	PUNCT
brj-24486	307	29	,	,	PUNCT
brj-24486	307	30	and	and	CCONJ
brj-24486	307	31	root	root	NOUN
brj-24486	307	32	mean	mean	VERB
brj-24486	307	33	squared	square	VERB
brj-24486	307	34	error	error	NOUN
brj-24486	307	35	(	(	PUNCT
brj-24486	307	36	rmse	rmse	NOUN
brj-24486	307	37	)	)	PUNCT
brj-24486	307	38	.	.	PUNCT
brj-24486	308	1	the	the	DET
brj-24486	308	2	results	result	NOUN
brj-24486	308	3	can	can	AUX
brj-24486	308	4	be	be	AUX
brj-24486	308	5	summarized	summarize	VERB
brj-24486	308	6	as	as	SCONJ
brj-24486	308	7	follows	follow	VERB
brj-24486	308	8	:	:	PUNCT
brj-24486	308	9	1	1	X
brj-24486	308	10	.	.	X
brj-24486	308	11	among	among	ADP
brj-24486	308	12	the	the	DET
brj-24486	308	13	evaluated	evaluate	VERB
brj-24486	308	14	models	model	NOUN
brj-24486	308	15	,	,	PUNCT
brj-24486	308	16	the	the	DET
brj-24486	308	17	henderson	henderson	NOUN
brj-24486	308	18	and	and	CCONJ
brj-24486	308	19	pabis	pabis	NOUN
brj-24486	308	20	,	,	PUNCT
brj-24486	308	21	and	and	CCONJ
brj-24486	308	22	page	page	NOUN
brj-24486	308	23	models	model	NOUN
brj-24486	308	24	,	,	PUNCT
brj-24486	308	25	each	each	PRON
brj-24486	308	26	with	with	ADP
brj-24486	308	27	two	two	NUM
brj-24486	308	28	adjustable	adjustable	ADJ
brj-24486	308	29	parameters	parameter	NOUN
brj-24486	308	30	(	(	PUNCT
brj-24486	308	31	a	a	PRON
brj-24486	308	32	,	,	PUNCT
brj-24486	308	33	k	k	NOUN
brj-24486	308	34	;	;	PUNCT
brj-24486	308	35	and	and	CCONJ
brj-24486	308	36	k	k	PROPN
brj-24486	308	37	,	,	PUNCT
brj-24486	308	38	n	n	CCONJ
brj-24486	308	39	,	,	PUNCT
brj-24486	308	40	respectively	respectively	ADV
brj-24486	308	41	)	)	PUNCT
brj-24486	308	42	,	,	PUNCT
brj-24486	308	43	provided	provide	VERB
brj-24486	308	44	a	a	DET
brj-24486	308	45	good	good	ADJ
brj-24486	308	46	and	and	CCONJ
brj-24486	308	47	acceptable	acceptable	ADJ
brj-24486	308	48	fit	fit	NOUN
brj-24486	308	49	for	for	ADP
brj-24486	308	50	the	the	DET
brj-24486	308	51	drying	dry	VERB
brj-24486	308	52	kinetics	kinetic	NOUN
brj-24486	308	53	of	of	ADP
brj-24486	308	54	wood	wood	NOUN
brj-24486	308	55	fibers	fiber	NOUN
brj-24486	308	56	at	at	ADP
brj-24486	308	57	temperatures	temperature	NOUN
brj-24486	308	58	ranging	range	VERB
brj-24486	308	59	from	from	ADP
brj-24486	308	60	120	120	NUM
brj-24486	308	61	to	to	PART
brj-24486	308	62	135	135	NUM
brj-24486	308	63	°	°	NOUN
brj-24486	308	64	c	c	NOUN
brj-24486	308	65	.	.	NOUN
brj-24486	309	1	2	2	X
brj-24486	309	2	.	.	X
brj-24486	309	3	the	the	DET
brj-24486	309	4	ann	ann	PROPN
brj-24486	309	5	model	model	NOUN
brj-24486	309	6	did	do	AUX
brj-24486	309	7	not	not	PART
brj-24486	309	8	outperform	outperform	VERB
brj-24486	309	9	traditional	traditional	ADJ
brj-24486	309	10	thin	thin	ADJ
brj-24486	309	11	-	-	PUNCT
brj-24486	309	12	layer	layer	NOUN
brj-24486	309	13	drying	dry	VERB
brj-24486	309	14	methods	method	NOUN
brj-24486	309	15	in	in	ADP
brj-24486	309	16	predicting	predict	VERB
brj-24486	309	17	changes	change	NOUN
brj-24486	309	18	in	in	ADP
brj-24486	309	19	moisture	moisture	NOUN
brj-24486	309	20	content	content	NOUN
brj-24486	309	21	,	,	PUNCT
brj-24486	309	22	suggesting	suggest	VERB
brj-24486	309	23	that	that	SCONJ
brj-24486	309	24	simpler	simple	ADJ
brj-24486	309	25	methods	method	NOUN
brj-24486	309	26	are	be	AUX
brj-24486	309	27	often	often	ADV
brj-24486	309	28	more	more	ADV
brj-24486	309	29	effective	effective	ADJ
brj-24486	309	30	.	.	PUNCT
brj-24486	310	1	acknowledgements	acknowledgement	NOUN
brj-24486	310	2	the	the	DET
brj-24486	310	3	authors	author	NOUN
brj-24486	310	4	are	be	AUX
brj-24486	310	5	grateful	grateful	ADJ
brj-24486	310	6	for	for	ADP
brj-24486	310	7	financial	financial	ADJ
brj-24486	310	8	support	support	NOUN
brj-24486	310	9	from	from	ADP
brj-24486	310	10	the	the	DET
brj-24486	310	11	university	university	NOUN
brj-24486	310	12	of	of	ADP
brj-24486	310	13	zabol	zabol	NOUN
brj-24486	310	14	grant	grant	NOUN
brj-24486	310	15	number	number	NOUN
brj-24486	310	16	(	(	PUNCT
brj-24486	310	17	pr	pr	NOUN
brj-24486	310	18	-	-	PUNCT
brj-24486	310	19	uoz1400	uoz1400	NOUN
brj-24486	310	20	-	-	PUNCT
brj-24486	310	21	12	12	NUM
brj-24486	310	22	)	)	PUNCT
brj-24486	310	23	.	.	PUNCT
brj-24486	311	1	references	reference	NOUN
brj-24486	311	2	cited	cite	VERB
brj-24486	311	3	ademiluyi	ademiluyi	VERB
brj-24486	311	4	,	,	PUNCT
brj-24486	311	5	t.	t.	PROPN
brj-24486	311	6	,	,	PUNCT
brj-24486	311	7	oboho	oboho	PROPN
brj-24486	311	8	,	,	PUNCT
brj-24486	311	9	e.	e.	PROPN
brj-24486	311	10	o.	o.	PROPN
brj-24486	311	11	,	,	PUNCT
brj-24486	311	12	and	and	CCONJ
brj-24486	311	13	owudogu	owudogu	ADJ
brj-24486	311	14	,	,	PUNCT
brj-24486	311	15	m.	m.	NOUN
brj-24486	311	16	(	(	PUNCT
brj-24486	311	17	2008	2008	NUM
brj-24486	311	18	)	)	PUNCT
brj-24486	311	19	.	.	PUNCT
brj-24486	312	1	“	"	PUNCT
brj-24486	312	2	investigation	investigation	NOUN
brj-24486	312	3	into	into	ADP
brj-24486	312	4	the	the	DET
brj-24486	312	5	thin	thin	ADJ
brj-24486	312	6	layer	layer	NOUN
brj-24486	312	7	drying	dry	VERB
brj-24486	312	8	models	model	NOUN
brj-24486	312	9	of	of	ADP
brj-24486	312	10	nigerian	nigerian	ADJ
brj-24486	312	11	popcorn	popcorn	NOUN
brj-24486	312	12	varieties	variety	NOUN
brj-24486	312	13	,	,	PUNCT
brj-24486	312	14	”	"	PUNCT
brj-24486	312	15	leonardo	leonardo	PROPN
brj-24486	312	16	electronic	electronic	ADJ
brj-24486	312	17	journal	journal	NOUN
brj-24486	312	18	of	of	ADP
brj-24486	312	19	practices	practice	NOUN
brj-24486	312	20	and	and	CCONJ
brj-24486	312	21	technologies	technology	NOUN
brj-24486	312	22	7(13	7(13	NUM
brj-24486	312	23	)	)	PUNCT
brj-24486	312	24	,	,	PUNCT
brj-24486	312	25	47	47	NUM
brj-24486	312	26	-	-	SYM
brj-24486	312	27	62	62	NUM
brj-24486	312	28	.	.	PUNCT
brj-24486	313	1	arabi	arabi	NOUN
brj-24486	313	2	,	,	PUNCT
brj-24486	313	3	m.	m.	NOUN
brj-24486	313	4	,	,	PUNCT
brj-24486	313	5	faezipour	faezipour	NOUN
brj-24486	313	6	,	,	PUNCT
brj-24486	313	7	m.	m.	NOUN
brj-24486	313	8	m.	m.	NOUN
brj-24486	313	9	,	,	PUNCT
brj-24486	313	10	layeghi	layeghi	PROPN
brj-24486	313	11	,	,	PUNCT
brj-24486	313	12	m.	m.	NOUN
brj-24486	313	13	,	,	PUNCT
brj-24486	313	14	khanali	khanali	PROPN
brj-24486	313	15	,	,	PUNCT
brj-24486	313	16	m.	m.	NOUN
brj-24486	313	17	,	,	PUNCT
brj-24486	313	18	and	and	CCONJ
brj-24486	313	19	zareahosseinabadi	zareahosseinabadi	NOUN
brj-24486	313	20	,	,	PUNCT
brj-24486	313	21	h.	h.	PROPN
brj-24486	313	22	(	(	PUNCT
brj-24486	313	23	2017	2017	NUM
brj-24486	313	24	)	)	PUNCT
brj-24486	313	25	.	.	PUNCT
brj-24486	314	1	“	"	PUNCT
brj-24486	314	2	evaluation	evaluation	NOUN
brj-24486	314	3	of	of	ADP
brj-24486	314	4	thin	thin	ADJ
brj-24486	314	5	-	-	PUNCT
brj-24486	314	6	layer	layer	NOUN
brj-24486	314	7	models	model	NOUN
brj-24486	314	8	for	for	ADP
brj-24486	314	9	describing	describe	VERB
brj-24486	314	10	drying	dry	VERB
brj-24486	314	11	kinetics	kinetic	NOUN
brj-24486	314	12	of	of	ADP
brj-24486	314	13	poplar	poplar	ADJ
brj-24486	314	14	wood	wood	NOUN
brj-24486	314	15	particles	particle	NOUN
brj-24486	314	16	in	in	ADP
brj-24486	314	17	a	a	DET
brj-24486	314	18	fluidized	fluidize	VERB
brj-24486	314	19	bed	bed	NOUN
brj-24486	314	20	dryer	dryer	NOUN
brj-24486	314	21	,	,	PUNCT
brj-24486	314	22	”	"	PUNCT
brj-24486	314	23	particulate	particulate	NOUN
brj-24486	314	24	science	science	NOUN
brj-24486	314	25	and	and	CCONJ
brj-24486	314	26	technology	technology	NOUN
brj-24486	314	27	35(6	35(6	NOUN
brj-24486	314	28	)	)	PUNCT
brj-24486	314	29	,	,	PUNCT
brj-24486	314	30	723	723	NUM
brj-24486	314	31	-	-	SYM
brj-24486	314	32	730	730	NUM
brj-24486	314	33	.	.	PUNCT
brj-24486	315	1	https://doi.org/10.1080/02726351.2016.1196275	https://doi.org/10.1080/02726351.2016.1196275	PROPN
brj-24486	315	2	astm	astm	PROPN
brj-24486	315	3	d6980	d6980	PROPN
brj-24486	315	4	-	-	SYM
brj-24486	315	5	12	12	NUM
brj-24486	315	6	(	(	PUNCT
brj-24486	315	7	2012	2012	NUM
brj-24486	315	8	)	)	PUNCT
brj-24486	315	9	.	.	PUNCT
brj-24486	316	1	“	"	PUNCT
brj-24486	316	2	standard	standard	ADJ
brj-24486	316	3	test	test	NOUN
brj-24486	316	4	method	method	NOUN
brj-24486	316	5	for	for	ADP
brj-24486	316	6	determination	determination	NOUN
brj-24486	316	7	of	of	ADP
brj-24486	316	8	moisture	moisture	NOUN
brj-24486	316	9	in	in	ADP
brj-24486	316	10	plastics	plastic	NOUN
brj-24486	316	11	by	by	ADP
brj-24486	316	12	loss	loss	NOUN
brj-24486	316	13	in	in	ADP
brj-24486	316	14	weight	weight	NOUN
brj-24486	316	15	,	,	PUNCT
brj-24486	316	16	”	"	PUNCT
brj-24486	316	17	astm	astm	PROPN
brj-24486	316	18	international	international	PROPN
brj-24486	316	19	,	,	PUNCT
brj-24486	316	20	west	west	PROPN
brj-24486	316	21	conshohocken	conshohocken	PROPN
brj-24486	316	22	,	,	PUNCT
brj-24486	316	23	pa	pa	PROPN
brj-24486	316	24	,	,	PUNCT
brj-24486	316	25	usa	usa	PROPN
brj-24486	316	26	.	.	PROPN
brj-24486	316	27	autengruber	autengruber	PROPN
brj-24486	316	28	,	,	PUNCT
brj-24486	316	29	m.	m.	NOUN
brj-24486	316	30	,	,	PUNCT
brj-24486	316	31	lukacevic	lukacevic	ADJ
brj-24486	316	32	,	,	PUNCT
brj-24486	316	33	m.	m.	NOUN
brj-24486	316	34	,	,	PUNCT
brj-24486	316	35	and	and	CCONJ
brj-24486	316	36	füssl	füssl	NOUN
brj-24486	316	37	,	,	PUNCT
brj-24486	316	38	j.	j.	PROPN
brj-24486	316	39	(	(	PUNCT
brj-24486	316	40	2020	2020	NUM
brj-24486	316	41	)	)	PUNCT
brj-24486	316	42	.	.	PUNCT
brj-24486	317	1	“	"	PUNCT
brj-24486	317	2	finite	finite	ADJ
brj-24486	317	3	-	-	ADJ
brj-24486	317	4	element	element	NOUN
brj-24486	317	5	-	-	PUNCT
brj-24486	317	6	based	base	VERB
brj-24486	317	7	moisture	moisture	NOUN
brj-24486	317	8	transport	transport	NOUN
brj-24486	317	9	model	model	NOUN
brj-24486	317	10	for	for	ADP
brj-24486	317	11	wood	wood	NOUN
brj-24486	317	12	including	include	VERB
brj-24486	317	13	free	free	ADJ
brj-24486	317	14	water	water	NOUN
brj-24486	317	15	above	above	ADP
brj-24486	317	16	the	the	DET
brj-24486	317	17	fiber	fiber	NOUN
brj-24486	317	18	saturation	saturation	NOUN
brj-24486	317	19	point	point	NOUN
brj-24486	317	20	,	,	PUNCT
brj-24486	317	21	”	"	PUNCT
brj-24486	317	22	international	international	ADJ
brj-24486	317	23	journal	journal	NOUN
brj-24486	317	24	of	of	ADP
brj-24486	317	25	heat	heat	NOUN
brj-24486	317	26	and	and	CCONJ
brj-24486	317	27	mass	mass	NOUN
brj-24486	317	28	transfer	transfer	NOUN
brj-24486	317	29	161	161	NUM
brj-24486	317	30	,	,	PUNCT
brj-24486	317	31	article	article	NOUN
brj-24486	317	32	120228	120228	NUM
brj-24486	317	33	.	.	PUNCT
brj-24486	318	1	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	PROPN
brj-24486	318	2	babalis	babalis	PROPN
brj-24486	318	3	,	,	PUNCT
brj-24486	318	4	s.	s.	PROPN
brj-24486	318	5	j.	j.	PROPN
brj-24486	318	6	,	,	PUNCT
brj-24486	318	7	papanicolaou	papanicolaou	PROPN
brj-24486	318	8	,	,	PUNCT
brj-24486	318	9	e.	e.	PROPN
brj-24486	318	10	,	,	PUNCT
brj-24486	318	11	kyriakis	kyriakis	PROPN
brj-24486	318	12	,	,	PUNCT
brj-24486	318	13	n.	n.	NOUN
brj-24486	318	14	,	,	PUNCT
brj-24486	318	15	and	and	CCONJ
brj-24486	318	16	belessiotis	belessiotis	NOUN
brj-24486	318	17	,	,	PUNCT
brj-24486	318	18	v.	v.	PROPN
brj-24486	318	19	g.	g.	PROPN
brj-24486	318	20	(	(	PUNCT
brj-24486	318	21	2006	2006	NUM
brj-24486	318	22	)	)	PUNCT
brj-24486	318	23	.	.	PUNCT
brj-24486	319	1	“	"	PUNCT
brj-24486	319	2	evaluation	evaluation	NOUN
brj-24486	319	3	of	of	ADP
brj-24486	319	4	thin	thin	ADJ
brj-24486	319	5	-	-	PUNCT
brj-24486	319	6	layer	layer	NOUN
brj-24486	319	7	drying	dry	VERB
brj-24486	319	8	models	model	NOUN
brj-24486	319	9	for	for	ADP
brj-24486	319	10	describing	describe	VERB
brj-24486	319	11	drying	dry	VERB
brj-24486	319	12	kinetics	kinetic	NOUN
brj-24486	319	13	of	of	ADP
brj-24486	319	14	figs	fig	NOUN
brj-24486	319	15	(	(	PUNCT
brj-24486	319	16	ficus	ficus	PROPN
brj-24486	319	17	carica	carica	PROPN
brj-24486	319	18	)	)	PUNCT
brj-24486	319	19	,	,	PUNCT
brj-24486	319	20	”	"	PUNCT
brj-24486	319	21	journal	journal	NOUN
brj-24486	319	22	of	of	ADP
brj-24486	319	23	food	food	NOUN
brj-24486	319	24	engineering	engineering	NOUN
brj-24486	319	25	75(2	75(2	NUM
brj-24486	319	26	)	)	PUNCT
brj-24486	319	27	,	,	PUNCT
brj-24486	319	28	205	205	NUM
brj-24486	319	29	-	-	SYM
brj-24486	319	30	214	214	NUM
brj-24486	319	31	.	.	PUNCT
brj-24486	320	1	https://doi.org/10.1016/j.jfoodeng.2005.04.008	https://doi.org/10.1016/j.jfoodeng.2005.04.008	NOUN
brj-24486	320	2	brys	bry	NOUN
brj-24486	320	3	,	,	PUNCT
brj-24486	320	4	a.	a.	NOUN
brj-24486	320	5	,	,	PUNCT
brj-24486	320	6	kaleta	kaleta	PROPN
brj-24486	320	7	,	,	PUNCT
brj-24486	320	8	a.	a.	NOUN
brj-24486	320	9	,	,	PUNCT
brj-24486	320	10	górnicki	górnicki	PROPN
brj-24486	320	11	,	,	PUNCT
brj-24486	320	12	k.	k.	PROPN
brj-24486	320	13	,	,	PUNCT
brj-24486	320	14	głowacki	głowacki	PROPN
brj-24486	320	15	,	,	PUNCT
brj-24486	320	16	s.	s.	PROPN
brj-24486	320	17	,	,	PUNCT
brj-24486	320	18	tulej	tulej	PROPN
brj-24486	320	19	,	,	PUNCT
brj-24486	320	20	w.	w.	NOUN
brj-24486	320	21	,	,	PUNCT
brj-24486	320	22	bryś	bryś	PROPN
brj-24486	320	23	,	,	PUNCT
brj-24486	320	24	j.	j.	PROPN
brj-24486	320	25	,	,	PUNCT
brj-24486	320	26	and	and	CCONJ
brj-24486	320	27	wichowski	wichowski	ADJ
brj-24486	320	28	,	,	PUNCT
brj-24486	320	29	p.	p.	NOUN
brj-24486	320	30	(	(	PUNCT
brj-24486	320	31	2021	2021	NUM
brj-24486	320	32	)	)	PUNCT
brj-24486	320	33	.	.	PUNCT
brj-24486	321	1	“	"	PUNCT
brj-24486	321	2	some	some	DET
brj-24486	321	3	aspects	aspect	NOUN
brj-24486	321	4	of	of	ADP
brj-24486	321	5	the	the	DET
brj-24486	321	6	modelling	modelling	NOUN
brj-24486	321	7	of	of	ADP
brj-24486	321	8	thin	thin	ADJ
brj-24486	321	9	-	-	PUNCT
brj-24486	321	10	layer	layer	NOUN
brj-24486	321	11	drying	drying	NOUN
brj-24486	321	12	of	of	ADP
brj-24486	321	13	sawdust	sawdust	NOUN
brj-24486	321	14	,	,	PUNCT
brj-24486	321	15	”	"	PUNCT
brj-24486	321	16	energies	energy	NOUN
brj-24486	321	17	14(3	14(3	NUM
brj-24486	321	18	)	)	PUNCT
brj-24486	321	19	,	,	PUNCT
brj-24486	321	20	article	article	NOUN
brj-24486	321	21	726	726	NUM
brj-24486	321	22	.	.	PUNCT
brj-24486	322	1	https://doi.org/10.3390/en14030726	https://doi.org/10.3390/en14030726	PROPN
brj-24486	322	2	https://doi.org/10.1080/02726351.2016.1196275	https://doi.org/10.1080/02726351.2016.1196275	PROPN
brj-24486	322	3	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	VERB
brj-24486	322	4	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	https://doi.org/10.1016/j.ijheatmasstransfer.2020.120228	PROPN
brj-24486	322	5	https://doi.org/10.1016/j.jfoodeng.2005.04.008	https://doi.org/10.1016/j.jfoodeng.2005.04.008	PROPN
brj-24486	322	6	https://doi.org/10.1016/j.jfoodeng.2005.04.008	https://doi.org/10.1016/j.jfoodeng.2005.04.008	PROPN
brj-24486	322	7	https://doi.org/10.3390/en14030726	https://doi.org/10.3390/en14030726	NOUN
brj-24486	322	8	peer	peer	NOUN
brj-24486	322	9	-	-	PUNCT
brj-24486	322	10	reviewed	review	VERB
brj-24486	322	11	article	article	NOUN
brj-24486	322	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	322	13	arabi	arabi	PROPN
brj-24486	322	14	&	&	CCONJ
brj-24486	322	15	ghalehno	ghalehno	PROPN
brj-24486	322	16	(	(	PUNCT
brj-24486	322	17	2026	2026	NUM
brj-24486	322	18	)	)	PUNCT
brj-24486	322	19	.	.	PUNCT
brj-24486	323	1	“	"	PUNCT
brj-24486	323	2	wood	wood	NOUN
brj-24486	323	3	fiber	fiber	NOUN
brj-24486	323	4	drying	dry	VERB
brj-24486	323	5	,	,	PUNCT
brj-24486	323	6	”	"	PUNCT
brj-24486	323	7	bioresources	bioresource	NOUN
brj-24486	323	8	21(1	21(1	NUM
brj-24486	323	9	)	)	PUNCT
brj-24486	323	10	,	,	PUNCT
brj-24486	323	11	654	654	NUM
brj-24486	323	12	-	-	SYM
brj-24486	323	13	672	672	NUM
brj-24486	323	14	.	.	PUNCT
brj-24486	324	1	670	670	NUM
brj-24486	324	2	chai	chai	NOUN
brj-24486	324	3	,	,	PUNCT
brj-24486	324	4	h.	h.	PROPN
brj-24486	324	5	,	,	PUNCT
brj-24486	324	6	chen	chen	PROPN
brj-24486	324	7	,	,	PUNCT
brj-24486	324	8	x.	x.	PROPN
brj-24486	324	9	,	,	PUNCT
brj-24486	324	10	cai	cai	PROPN
brj-24486	324	11	,	,	PUNCT
brj-24486	324	12	y.	y.	PROPN
brj-24486	324	13	,	,	PUNCT
brj-24486	324	14	and	and	CCONJ
brj-24486	324	15	zhao	zhao	PROPN
brj-24486	324	16	,	,	PUNCT
brj-24486	324	17	j.	j.	PROPN
brj-24486	324	18	(	(	PUNCT
brj-24486	324	19	2018	2018	NUM
brj-24486	324	20	)	)	PUNCT
brj-24486	324	21	.	.	PUNCT
brj-24486	325	1	“	"	PUNCT
brj-24486	325	2	artificial	artificial	ADJ
brj-24486	325	3	neural	neural	ADJ
brj-24486	325	4	network	network	NOUN
brj-24486	325	5	modeling	modeling	NOUN
brj-24486	325	6	for	for	ADP
brj-24486	325	7	predicting	predict	VERB
brj-24486	325	8	wood	wood	NOUN
brj-24486	325	9	moisture	moisture	NOUN
brj-24486	325	10	content	content	NOUN
brj-24486	325	11	in	in	ADP
brj-24486	325	12	high	high	ADJ
brj-24486	325	13	frequency	frequency	NOUN
brj-24486	325	14	vacuum	vacuum	NOUN
brj-24486	325	15	drying	dry	VERB
brj-24486	325	16	process	process	NOUN
brj-24486	325	17	,	,	PUNCT
brj-24486	325	18	”	"	PUNCT
brj-24486	325	19	forests	forest	NOUN
brj-24486	325	20	10(1	10(1	NUM
brj-24486	325	21	)	)	PUNCT
brj-24486	325	22	,	,	PUNCT
brj-24486	325	23	article	article	NOUN
brj-24486	325	24	16	16	NUM
brj-24486	325	25	.	.	PUNCT
brj-24486	326	1	https://doi.org/10.3390/f10010016	https://doi.org/10.3390/f10010016	DET
brj-24486	326	2	chanpet	chanpet	NOUN
brj-24486	326	3	,	,	PUNCT
brj-24486	326	4	m.	m.	NOUN
brj-24486	326	5	,	,	PUNCT
brj-24486	326	6	rakmak	rakmak	PROPN
brj-24486	326	7	,	,	PUNCT
brj-24486	326	8	n.	n.	NOUN
brj-24486	326	9	,	,	PUNCT
brj-24486	326	10	matan	matan	PROPN
brj-24486	326	11	,	,	PUNCT
brj-24486	326	12	n.	n.	NOUN
brj-24486	326	13	,	,	PUNCT
brj-24486	326	14	and	and	CCONJ
brj-24486	326	15	siripatana	siripatana	PROPN
brj-24486	326	16	,	,	PUNCT
brj-24486	326	17	c.	c.	PROPN
brj-24486	326	18	(	(	PUNCT
brj-24486	326	19	2020	2020	NUM
brj-24486	326	20	)	)	PUNCT
brj-24486	326	21	.	.	PUNCT
brj-24486	327	1	“	"	PUNCT
brj-24486	327	2	effect	effect	NOUN
brj-24486	327	3	of	of	ADP
brj-24486	327	4	air	air	NOUN
brj-24486	327	5	velocity	velocity	NOUN
brj-24486	327	6	,	,	PUNCT
brj-24486	327	7	temperature	temperature	NOUN
brj-24486	327	8	,	,	PUNCT
brj-24486	327	9	and	and	CCONJ
brj-24486	327	10	relative	relative	ADJ
brj-24486	327	11	humidity	humidity	NOUN
brj-24486	327	12	on	on	ADP
brj-24486	327	13	drying	dry	VERB
brj-24486	327	14	kinetics	kinetic	NOUN
brj-24486	327	15	of	of	ADP
brj-24486	327	16	rubberwood	rubberwood	NOUN
brj-24486	327	17	,	,	PUNCT
brj-24486	327	18	”	"	PUNCT
brj-24486	327	19	heliyon	heliyon	NOUN
brj-24486	327	20	6(10	6(10	NUM
brj-24486	327	21	)	)	PUNCT
brj-24486	327	22	.	.	PUNCT
brj-24486	328	1	https://doi.org/10.1016/j.heliyon.2020.e05151	https://doi.org/10.1016/j.heliyon.2020.e05151	NOUN
brj-24486	328	2	dash	dash	NOUN
brj-24486	328	3	,	,	PUNCT
brj-24486	328	4	k.	k.	PROPN
brj-24486	328	5	k.	k.	PROPN
brj-24486	328	6	,	,	PUNCT
brj-24486	328	7	chakraborty	chakraborty	PROPN
brj-24486	328	8	,	,	PUNCT
brj-24486	328	9	s.	s.	PROPN
brj-24486	328	10	,	,	PUNCT
brj-24486	328	11	and	and	CCONJ
brj-24486	328	12	singh	singh	PROPN
brj-24486	328	13	,	,	PUNCT
brj-24486	328	14	y.	y.	PROPN
brj-24486	328	15	r.	r.	PROPN
brj-24486	328	16	(	(	PUNCT
brj-24486	328	17	2020	2020	NUM
brj-24486	328	18	)	)	PUNCT
brj-24486	328	19	.	.	PUNCT
brj-24486	329	1	“	"	PUNCT
brj-24486	329	2	modeling	modeling	NOUN
brj-24486	329	3	of	of	ADP
brj-24486	329	4	microwave	microwave	NOUN
brj-24486	329	5	vacuum	vacuum	NOUN
brj-24486	329	6	drying	dry	VERB
brj-24486	329	7	kinetics	kinetic	NOUN
brj-24486	329	8	of	of	ADP
brj-24486	329	9	bael	bael	PROPN
brj-24486	329	10	(	(	PUNCT
brj-24486	329	11	aegle	aegle	PROPN
brj-24486	329	12	marmelos	marmelos	PROPN
brj-24486	329	13	l.	l.	PROPN
brj-24486	329	14	)	)	PUNCT
brj-24486	329	15	pulp	pulp	NOUN
brj-24486	329	16	by	by	ADP
brj-24486	329	17	using	use	VERB
brj-24486	329	18	artificial	artificial	ADJ
brj-24486	329	19	neural	neural	ADJ
brj-24486	329	20	network	network	NOUN
brj-24486	329	21	,	,	PUNCT
brj-24486	329	22	”	"	PUNCT
brj-24486	329	23	journal	journal	NOUN
brj-24486	329	24	of	of	ADP
brj-24486	329	25	the	the	DET
brj-24486	329	26	institution	institution	NOUN
brj-24486	329	27	of	of	ADP
brj-24486	329	28	engineers	engineer	NOUN
brj-24486	329	29	(	(	PUNCT
brj-24486	329	30	india	india	PROPN
brj-24486	329	31	):	):	PUNCT
brj-24486	329	32	series	series	PROPN
brj-24486	329	33	a	a	DET
brj-24486	329	34	101	101	NUM
brj-24486	329	35	,	,	PUNCT
brj-24486	329	36	343	343	NUM
brj-24486	329	37	-	-	SYM
brj-24486	329	38	351	351	NUM
brj-24486	329	39	.	.	PUNCT
brj-24486	330	1	https://doi.org/10.1007/s40030-020-00431-x	https://doi.org/10.1007/s40030-020-00431-x	PROPN
brj-24486	330	2	demir	demir	PROPN
brj-24486	330	3	,	,	PUNCT
brj-24486	330	4	v.	v.	PROPN
brj-24486	330	5	e.	e.	PROPN
brj-24486	330	6	d.	d.	PROPN
brj-24486	330	7	a.	a.	PROPN
brj-24486	330	8	t.	t.	PROPN
brj-24486	330	9	,	,	PUNCT
brj-24486	330	10	gunhan	gunhan	NOUN
brj-24486	330	11	,	,	PUNCT
brj-24486	330	12	t.	t.	PROPN
brj-24486	330	13	u.	u.	PROPN
brj-24486	330	14	n.	n.	PROPN
brj-24486	330	15	c.	c.	PROPN
brj-24486	330	16	a.	a.	PROPN
brj-24486	330	17	y.	y.	PROPN
brj-24486	330	18	,	,	PUNCT
brj-24486	330	19	and	and	CCONJ
brj-24486	330	20	yagcioglu	yagcioglu	NOUN
brj-24486	330	21	,	,	PUNCT
brj-24486	330	22	a.	a.	PROPN
brj-24486	330	23	k.	k.	PROPN
brj-24486	330	24	(	(	PUNCT
brj-24486	330	25	2007	2007	NUM
brj-24486	330	26	)	)	PUNCT
brj-24486	330	27	.	.	PUNCT
brj-24486	331	1	“	"	PUNCT
brj-24486	331	2	mathematical	mathematical	ADJ
brj-24486	331	3	modelling	modelling	NOUN
brj-24486	331	4	of	of	ADP
brj-24486	331	5	convection	convection	NOUN
brj-24486	331	6	drying	drying	NOUN
brj-24486	331	7	of	of	ADP
brj-24486	331	8	green	green	ADJ
brj-24486	331	9	table	table	NOUN
brj-24486	331	10	olives	olive	NOUN
brj-24486	331	11	,	,	PUNCT
brj-24486	331	12	”	"	PUNCT
brj-24486	331	13	biosystems	biosystem	NOUN
brj-24486	331	14	engineering	engineer	VERB
brj-24486	331	15	98(1	98(1	NOUN
brj-24486	331	16	)	)	PUNCT
brj-24486	331	17	,	,	PUNCT
brj-24486	331	18	47	47	NUM
brj-24486	331	19	-	-	SYM
brj-24486	331	20	53	53	NUM
brj-24486	331	21	.	.	PUNCT
brj-24486	332	1	https://doi.org/10.1016/j.biosystemseng	https://doi.org/10.1016/j.biosystemseng	X
brj-24486	332	2	.2007.06.011	.2007.06.011	PROPN
brj-24486	332	3	dincer	dincer	PROPN
brj-24486	332	4	,	,	PUNCT
brj-24486	332	5	i.	i.	PROPN
brj-24486	332	6	(	(	PUNCT
brj-24486	332	7	1998	1998	NUM
brj-24486	332	8	)	)	PUNCT
brj-24486	332	9	.	.	PUNCT
brj-24486	333	1	“	"	PUNCT
brj-24486	333	2	moisture	moisture	VERB
brj-24486	333	3	loss	loss	NOUN
brj-24486	333	4	from	from	ADP
brj-24486	333	5	wood	wood	NOUN
brj-24486	333	6	products	product	NOUN
brj-24486	333	7	during	during	ADP
brj-24486	333	8	drying	dry	VERB
brj-24486	333	9	—	—	PUNCT
brj-24486	333	10	part	part	NOUN
brj-24486	333	11	i	i	PRON
brj-24486	333	12	:	:	PUNCT
brj-24486	333	13	moisture	moisture	VERB
brj-24486	333	14	diffusivities	diffusivitie	NOUN
brj-24486	333	15	and	and	CCONJ
brj-24486	333	16	moisture	moisture	NOUN
brj-24486	333	17	transfer	transfer	NOUN
brj-24486	333	18	coefficients	coefficient	NOUN
brj-24486	333	19	,	,	PUNCT
brj-24486	333	20	”	"	PUNCT
brj-24486	333	21	energy	energy	NOUN
brj-24486	333	22	sources	source	NOUN
brj-24486	333	23	20(1	20(1	NUM
brj-24486	333	24	)	)	PUNCT
brj-24486	333	25	,	,	PUNCT
brj-24486	333	26	67	67	NUM
brj-24486	333	27	-	-	SYM
brj-24486	333	28	75	75	NUM
brj-24486	333	29	.	.	PUNCT
brj-24486	334	1	https://doi.org/10.1080/	https://doi.org/10.1080/	NOUN
brj-24486	334	2	00908	00908	NUM
brj-24486	334	3	319808970044	319808970044	NUM
brj-24486	334	4	doymaz	doymaz	NOUN
brj-24486	334	5	,	,	PUNCT
brj-24486	334	6	i.	i.	NOUN
brj-24486	334	7	(	(	PUNCT
brj-24486	334	8	2007	2007	NUM
brj-24486	334	9	)	)	PUNCT
brj-24486	334	10	.	.	PUNCT
brj-24486	335	1	“	"	PUNCT
brj-24486	335	2	air	air	NOUN
brj-24486	335	3	-	-	PUNCT
brj-24486	335	4	drying	dry	VERB
brj-24486	335	5	characteristics	characteristic	NOUN
brj-24486	335	6	of	of	ADP
brj-24486	335	7	tomatoes	tomato	NOUN
brj-24486	335	8	,	,	PUNCT
brj-24486	335	9	”	"	PUNCT
brj-24486	335	10	journal	journal	NOUN
brj-24486	335	11	of	of	ADP
brj-24486	335	12	food	food	NOUN
brj-24486	335	13	engineering	engineering	NOUN
brj-24486	335	14	78(4	78(4	NOUN
brj-24486	335	15	)	)	PUNCT
brj-24486	335	16	,	,	PUNCT
brj-24486	335	17	1291	1291	NUM
brj-24486	335	18	-	-	SYM
brj-24486	335	19	1297	1297	NUM
brj-24486	335	20	.	.	PUNCT
brj-24486	336	1	https://doi.org/10.1016/j.jfoodeng.2005.12.047	https://doi.org/10.1016/j.jfoodeng.2005.12.047	NOUN
brj-24486	336	2	fernando	fernando	NOUN
brj-24486	336	3	,	,	PUNCT
brj-24486	336	4	n.	n.	PROPN
brj-24486	336	5	,	,	PUNCT
brj-24486	336	6	narayana	narayana	PROPN
brj-24486	336	7	,	,	PUNCT
brj-24486	336	8	m.	m.	NOUN
brj-24486	336	9	,	,	PUNCT
brj-24486	336	10	and	and	CCONJ
brj-24486	336	11	wickramaarachchi	wickramaarachchi	PROPN
brj-24486	336	12	,	,	PUNCT
brj-24486	336	13	w.	w.	PROPN
brj-24486	336	14	a.	a.	PROPN
brj-24486	336	15	m.	m.	PROPN
brj-24486	337	1	k.	k.	PROPN
brj-24486	337	2	p.	p.	PROPN
brj-24486	337	3	(	(	PUNCT
brj-24486	337	4	2018	2018	NUM
brj-24486	337	5	)	)	PUNCT
brj-24486	337	6	.	.	PUNCT
brj-24486	338	1	“	"	PUNCT
brj-24486	338	2	the	the	DET
brj-24486	338	3	effects	effect	NOUN
brj-24486	338	4	of	of	ADP
brj-24486	338	5	air	air	NOUN
brj-24486	338	6	velocity	velocity	NOUN
brj-24486	338	7	,	,	PUNCT
brj-24486	338	8	temperature	temperature	NOUN
brj-24486	338	9	and	and	CCONJ
brj-24486	338	10	particle	particle	NOUN
brj-24486	338	11	size	size	NOUN
brj-24486	338	12	on	on	ADP
brj-24486	338	13	low	low	ADJ
brj-24486	338	14	-	-	PUNCT
brj-24486	338	15	temperature	temperature	NOUN
brj-24486	338	16	bed	bed	NOUN
brj-24486	338	17	drying	dry	VERB
brj-24486	338	18	of	of	ADP
brj-24486	338	19	wood	wood	NOUN
brj-24486	338	20	chips	chip	NOUN
brj-24486	338	21	,	,	PUNCT
brj-24486	338	22	”	"	PUNCT
brj-24486	338	23	biomass	biomass	NOUN
brj-24486	338	24	conversion	conversion	NOUN
brj-24486	338	25	and	and	CCONJ
brj-24486	338	26	biorefinery	biorefinery	NOUN
brj-24486	338	27	8(1	8(1	NOUN
brj-24486	338	28	)	)	PUNCT
brj-24486	338	29	,	,	PUNCT
brj-24486	338	30	211	211	NUM
brj-24486	338	31	-	-	SYM
brj-24486	338	32	223	223	NUM
brj-24486	338	33	.	.	PUNCT
brj-24486	338	34	https://doi.org/10.1007/s13399-017-0257-7	https://doi.org/10.1007/s13399-017-0257-7	PROPN
brj-24486	338	35	gan	gan	PROPN
brj-24486	338	36	,	,	PUNCT
brj-24486	338	37	p.	p.	NOUN
brj-24486	338	38	l.	l.	PROPN
brj-24486	338	39	,	,	PUNCT
brj-24486	338	40	and	and	CCONJ
brj-24486	338	41	poh	poh	PROPN
brj-24486	338	42	,	,	PUNCT
brj-24486	338	43	p.	p.	PROPN
brj-24486	338	44	e.	e.	PROPN
brj-24486	338	45	(	(	PUNCT
brj-24486	338	46	2014	2014	NUM
brj-24486	338	47	)	)	PUNCT
brj-24486	338	48	.	.	PUNCT
brj-24486	339	1	“	"	PUNCT
brj-24486	339	2	investigation	investigation	NOUN
brj-24486	339	3	on	on	ADP
brj-24486	339	4	the	the	DET
brj-24486	339	5	effect	effect	NOUN
brj-24486	339	6	of	of	ADP
brj-24486	339	7	shapes	shape	NOUN
brj-24486	339	8	on	on	ADP
brj-24486	339	9	the	the	DET
brj-24486	339	10	drying	dry	VERB
brj-24486	339	11	kinetics	kinetic	NOUN
brj-24486	339	12	and	and	CCONJ
brj-24486	339	13	sensory	sensory	ADJ
brj-24486	339	14	evaluation	evaluation	NOUN
brj-24486	339	15	study	study	NOUN
brj-24486	339	16	of	of	ADP
brj-24486	339	17	dried	dry	VERB
brj-24486	339	18	jackfruit	jackfruit	NOUN
brj-24486	339	19	,	,	PUNCT
brj-24486	339	20	”	"	PUNCT
brj-24486	339	21	international	international	ADJ
brj-24486	339	22	journal	journal	NOUN
brj-24486	339	23	of	of	ADP
brj-24486	339	24	science	science	NOUN
brj-24486	339	25	and	and	CCONJ
brj-24486	339	26	engineering	engineering	NOUN
brj-24486	339	27	7(2	7(2	NUM
brj-24486	339	28	)	)	PUNCT
brj-24486	339	29	,	,	PUNCT
brj-24486	339	30	193	193	NUM
brj-24486	339	31	-	-	SYM
brj-24486	339	32	198	198	NUM
brj-24486	339	33	.	.	PUNCT
brj-24486	340	1	https://doi.org/10.12777/ijse.7.2.193-198	https://doi.org/10.12777/ijse.7.2.193-198	PROPN
brj-24486	340	2	ghazanfari	ghazanfari	PROPN
brj-24486	340	3	,	,	PUNCT
brj-24486	340	4	a.	a.	PROPN
brj-24486	340	5	,	,	PUNCT
brj-24486	340	6	emami	emami	PROPN
brj-24486	340	7	,	,	PUNCT
brj-24486	340	8	s.	s.	PROPN
brj-24486	340	9	,	,	PUNCT
brj-24486	340	10	tabil	tabil	PROPN
brj-24486	340	11	,	,	PUNCT
brj-24486	340	12	l.	l.	PROPN
brj-24486	340	13	g.	g.	PROPN
brj-24486	340	14	,	,	PUNCT
brj-24486	340	15	and	and	CCONJ
brj-24486	340	16	panigrahi	panigrahi	NOUN
brj-24486	340	17	,	,	PUNCT
brj-24486	340	18	s.	s.	PROPN
brj-24486	340	19	(	(	PUNCT
brj-24486	340	20	2006	2006	NUM
brj-24486	340	21	)	)	PUNCT
brj-24486	340	22	.	.	PUNCT
brj-24486	341	1	“	"	PUNCT
brj-24486	341	2	thin	thin	ADJ
brj-24486	341	3	-	-	PUNCT
brj-24486	341	4	layer	layer	NOUN
brj-24486	341	5	drying	drying	NOUN
brj-24486	341	6	of	of	ADP
brj-24486	341	7	flax	flax	ADJ
brj-24486	341	8	fiber	fiber	PROPN
brj-24486	341	9	:	:	PUNCT
brj-24486	341	10	ii	ii	X
brj-24486	341	11	.	.	PUNCT
brj-24486	342	1	modeling	model	VERB
brj-24486	342	2	drying	dry	VERB
brj-24486	342	3	process	process	NOUN
brj-24486	342	4	using	use	VERB
brj-24486	342	5	semi	semi	ADJ
brj-24486	342	6	-	-	ADJ
brj-24486	342	7	theoretical	theoretical	ADJ
brj-24486	342	8	and	and	CCONJ
brj-24486	342	9	empirical	empirical	ADJ
brj-24486	342	10	models	model	NOUN
brj-24486	342	11	,	,	PUNCT
brj-24486	342	12	”	"	PUNCT
brj-24486	342	13	drying	dry	VERB
brj-24486	342	14	technology	technology	NOUN
brj-24486	342	15	24(12	24(12	NUM
brj-24486	342	16	)	)	PUNCT
brj-24486	342	17	1637	1637	NUM
brj-24486	342	18	-	-	SYM
brj-24486	342	19	1642	1642	NUM
brj-24486	342	20	.	.	PUNCT
brj-24486	343	1	https://doi.org/10.1080/07373930601031463	https://doi.org/10.1080/07373930601031463	PROPN
brj-24486	343	2	górnicki	górnicki	PROPN
brj-24486	343	3	,	,	PUNCT
brj-24486	343	4	k.	k.	PROPN
brj-24486	343	5	,	,	PUNCT
brj-24486	343	6	kaleta	kaleta	PROPN
brj-24486	343	7	,	,	PUNCT
brj-24486	343	8	a.	a.	NOUN
brj-24486	343	9	,	,	PUNCT
brj-24486	343	10	bryś	bryś	PROPN
brj-24486	343	11	,	,	PUNCT
brj-24486	343	12	a.	a.	NOUN
brj-24486	343	13	,	,	PUNCT
brj-24486	343	14	and	and	CCONJ
brj-24486	343	15	winiczenko	winiczenko	PROPN
brj-24486	343	16	,	,	PUNCT
brj-24486	343	17	r.	r.	PROPN
brj-24486	343	18	(	(	PUNCT
brj-24486	343	19	2016	2016	NUM
brj-24486	343	20	)	)	PUNCT
brj-24486	343	21	.	.	PUNCT
brj-24486	344	1	“	"	PUNCT
brj-24486	344	2	thin	thin	ADJ
brj-24486	344	3	-	-	PUNCT
brj-24486	344	4	layer	layer	NOUN
brj-24486	344	5	drying	drying	NOUN
brj-24486	344	6	of	of	ADP
brj-24486	344	7	sawdust	sawdust	NOUN
brj-24486	344	8	mixture	mixture	NOUN
brj-24486	344	9	,	,	PUNCT
brj-24486	344	10	”	"	PUNCT
brj-24486	344	11	polish	polish	ADJ
brj-24486	344	12	journal	journal	NOUN
brj-24486	344	13	of	of	ADP
brj-24486	344	14	chemical	chemical	PROPN
brj-24486	344	15	technology	technology	PROPN
brj-24486	344	16	18(4	18(4	NUM
brj-24486	344	17	)	)	PUNCT
brj-24486	344	18	,	,	PUNCT
brj-24486	344	19	65	65	NUM
brj-24486	344	20	-	-	SYM
brj-24486	344	21	70	70	NUM
brj-24486	344	22	.	.	PUNCT
brj-24486	345	1	https://doi.org/10.1515/pjct-2016-0072	https://doi.org/10.1515/pjct-2016-0072	NOUN
brj-24486	345	2	hii	hii	PROPN
brj-24486	345	3	,	,	PUNCT
brj-24486	345	4	c.	c.	PROPN
brj-24486	345	5	l.	l.	PROPN
brj-24486	345	6	,	,	PUNCT
brj-24486	345	7	law	law	NOUN
brj-24486	345	8	,	,	PUNCT
brj-24486	345	9	c.	c.	PROPN
brj-24486	345	10	l.	l.	PROPN
brj-24486	345	11	,	,	PUNCT
brj-24486	345	12	and	and	CCONJ
brj-24486	345	13	cloke	cloke	PROPN
brj-24486	345	14	,	,	PUNCT
brj-24486	345	15	m.	m.	NOUN
brj-24486	345	16	(	(	PUNCT
brj-24486	345	17	2009	2009	NUM
brj-24486	345	18	)	)	PUNCT
brj-24486	345	19	.	.	PUNCT
brj-24486	346	1	“	"	PUNCT
brj-24486	346	2	modeling	model	VERB
brj-24486	346	3	using	use	VERB
brj-24486	346	4	a	a	DET
brj-24486	346	5	new	new	ADJ
brj-24486	346	6	thin	thin	ADJ
brj-24486	346	7	layer	layer	NOUN
brj-24486	346	8	drying	dry	VERB
brj-24486	346	9	model	model	NOUN
brj-24486	346	10	and	and	CCONJ
brj-24486	346	11	product	product	NOUN
brj-24486	346	12	quality	quality	NOUN
brj-24486	346	13	of	of	ADP
brj-24486	346	14	cocoa	cocoa	NOUN
brj-24486	346	15	,	,	PUNCT
brj-24486	346	16	”	"	PUNCT
brj-24486	346	17	journal	journal	NOUN
brj-24486	346	18	of	of	ADP
brj-24486	346	19	food	food	NOUN
brj-24486	346	20	engineering	engineering	NOUN
brj-24486	346	21	90(2	90(2	NUM
brj-24486	346	22	)	)	PUNCT
brj-24486	346	23	,	,	PUNCT
brj-24486	346	24	191	191	NUM
brj-24486	346	25	-	-	SYM
brj-24486	346	26	198	198	NUM
brj-24486	346	27	.	.	PUNCT
brj-24486	347	1	https://doi.org/10.1016/j.jfoodeng	https://doi.org/10.1016/j.jfoodeng	X
brj-24486	347	2	.	.	PROPN
brj-24486	348	1	2008.06.022	2008.06.022	PROPN
brj-24486	348	2	huang	huang	PROPN
brj-24486	348	3	,	,	PUNCT
brj-24486	348	4	d.	d.	PROPN
brj-24486	348	5	,	,	PUNCT
brj-24486	348	6	yang	yang	PROPN
brj-24486	348	7	,	,	PUNCT
brj-24486	348	8	p.	p.	PROPN
brj-24486	348	9	,	,	PUNCT
brj-24486	348	10	tang	tang	PROPN
brj-24486	348	11	,	,	PUNCT
brj-24486	348	12	x.	x.	PROPN
brj-24486	348	13	,	,	PUNCT
brj-24486	348	14	luo	luo	PROPN
brj-24486	348	15	,	,	PUNCT
brj-24486	348	16	l.	l.	PROPN
brj-24486	348	17	,	,	PUNCT
brj-24486	348	18	and	and	CCONJ
brj-24486	348	19	sunden	sunden	ADJ
brj-24486	348	20	,	,	PUNCT
brj-24486	348	21	b.	b.	PROPN
brj-24486	348	22	(	(	PUNCT
brj-24486	348	23	2021	2021	NUM
brj-24486	348	24	)	)	PUNCT
brj-24486	348	25	.	.	PUNCT
brj-24486	349	1	“	"	PUNCT
brj-24486	349	2	application	application	NOUN
brj-24486	349	3	of	of	ADP
brj-24486	349	4	infrared	infrared	ADJ
brj-24486	349	5	radiation	radiation	NOUN
brj-24486	349	6	in	in	ADP
brj-24486	349	7	the	the	DET
brj-24486	349	8	drying	drying	NOUN
brj-24486	349	9	of	of	ADP
brj-24486	349	10	food	food	NOUN
brj-24486	349	11	products	product	NOUN
brj-24486	349	12	,	,	PUNCT
brj-24486	349	13	”	"	PUNCT
brj-24486	349	14	trends	trend	NOUN
brj-24486	349	15	in	in	ADP
brj-24486	349	16	food	food	NOUN
brj-24486	349	17	science	science	NOUN
brj-24486	349	18	and	and	CCONJ
brj-24486	349	19	technology	technology	NOUN
brj-24486	349	20	110	110	NUM
brj-24486	349	21	,	,	PUNCT
brj-24486	349	22	765	765	NUM
brj-24486	349	23	-	-	SYM
brj-24486	349	24	777	777	NUM
brj-24486	349	25	.	.	PUNCT
brj-24486	349	26	https://doi.org/10.1016/j.tifs.2021.02.039	https://doi.org/10.1016/j.tifs.2021.02.039	PROPN
brj-24486	349	27	jatmiko	jatmiko	NOUN
brj-24486	349	28	,	,	PUNCT
brj-24486	349	29	t.	t.	PROPN
brj-24486	349	30	h.	h.	PROPN
brj-24486	349	31	,	,	PUNCT
brj-24486	349	32	rosyida	rosyida	PROPN
brj-24486	349	33	,	,	PUNCT
brj-24486	349	34	v.	v.	PROPN
brj-24486	349	35	t.	t.	PROPN
brj-24486	349	36	,	,	PUNCT
brj-24486	349	37	indrianingsih	indrianingsih	PROPN
brj-24486	349	38	,	,	PUNCT
brj-24486	349	39	a.	a.	PROPN
brj-24486	349	40	w.	w.	PROPN
brj-24486	349	41	,	,	PUNCT
brj-24486	349	42	and	and	CCONJ
brj-24486	349	43	apriyana	apriyana	PROPN
brj-24486	349	44	,	,	PUNCT
brj-24486	349	45	w.	w.	PROPN
brj-24486	349	46	(	(	PUNCT
brj-24486	349	47	2017	2017	NUM
brj-24486	349	48	)	)	PUNCT
brj-24486	349	49	.	.	PUNCT
brj-24486	350	1	“	"	PUNCT
brj-24486	350	2	thin	thin	ADJ
brj-24486	350	3	layer	layer	NOUN
brj-24486	350	4	drying	dry	VERB
brj-24486	350	5	model	model	NOUN
brj-24486	350	6	of	of	ADP
brj-24486	350	7	bacterial	bacterial	ADJ
brj-24486	350	8	cellulose	cellulose	NOUN
brj-24486	350	9	film	film	NOUN
brj-24486	350	10	,	,	PUNCT
brj-24486	350	11	”	"	PUNCT
brj-24486	350	12	in	in	ADP
brj-24486	350	13	:	:	PUNCT
brj-24486	350	14	iop	iop	PROPN
brj-24486	350	15	conference	conference	PROPN
brj-24486	350	16	series	series	PROPN
brj-24486	350	17	:	:	PUNCT
brj-24486	350	18	earth	earth	NOUN
brj-24486	350	19	and	and	CCONJ
brj-24486	350	20	environmental	environmental	ADJ
brj-24486	350	21	science	science	NOUN
brj-24486	350	22	101(1	101(1	NUM
brj-24486	350	23	)	)	PUNCT
brj-24486	350	24	,	,	PUNCT
brj-24486	350	25	article	article	NOUN
brj-24486	350	26	012011	012011	NUM
brj-24486	350	27	.	.	PUNCT
brj-24486	351	1	https://doi.org/10.1088/17551315/101/1/012011	https://doi.org/10.1088/17551315/101/1/012011	PROPN
brj-24486	351	2	kaleta	kaleta	PROPN
brj-24486	351	3	,	,	PUNCT
brj-24486	351	4	a.	a.	PROPN
brj-24486	351	5	,	,	PUNCT
brj-24486	351	6	and	and	CCONJ
brj-24486	351	7	górnicki	górnicki	NOUN
brj-24486	351	8	,	,	PUNCT
brj-24486	351	9	k.	k.	PROPN
brj-24486	351	10	(	(	PUNCT
brj-24486	351	11	2010	2010	NUM
brj-24486	351	12	)	)	PUNCT
brj-24486	351	13	.	.	PUNCT
brj-24486	352	1	“	"	PUNCT
brj-24486	352	2	evaluation	evaluation	NOUN
brj-24486	352	3	of	of	ADP
brj-24486	352	4	drying	dry	VERB
brj-24486	352	5	models	model	NOUN
brj-24486	352	6	of	of	ADP
brj-24486	352	7	apple	apple	NOUN
brj-24486	352	8	(	(	PUNCT
brj-24486	352	9	var	var	NOUN
brj-24486	352	10	.	.	PUNCT
brj-24486	353	1	mcintosh	mcintosh	PROPN
brj-24486	353	2	)	)	PUNCT
brj-24486	353	3	dried	dry	VERB
brj-24486	353	4	in	in	ADP
brj-24486	353	5	a	a	DET
brj-24486	353	6	convective	convective	ADJ
brj-24486	353	7	dryer	dryer	NOUN
brj-24486	353	8	,	,	PUNCT
brj-24486	353	9	”	"	PUNCT
brj-24486	353	10	international	international	ADJ
brj-24486	353	11	journal	journal	NOUN
brj-24486	353	12	of	of	ADP
brj-24486	353	13	food	food	NOUN
brj-24486	353	14	science	science	NOUN
brj-24486	353	15	&	&	CCONJ
brj-24486	353	16	technology	technology	PROPN
brj-24486	353	17	45(5	45(5	PROPN
brj-24486	353	18	)	)	PUNCT
brj-24486	353	19	,	,	PUNCT
brj-24486	353	20	891	891	NUM
brj-24486	353	21	-	-	SYM
brj-24486	353	22	898	898	NUM
brj-24486	353	23	.	.	PUNCT
brj-24486	354	1	https://doi.org/10.1111/j.1365-2621.2010.02230.x	https://doi.org/10.1111/j.1365-2621.2010.02230.x	PROPN
brj-24486	354	2	kaleta	kaleta	PROPN
brj-24486	354	3	,	,	PUNCT
brj-24486	354	4	a.	a.	NOUN
brj-24486	354	5	,	,	PUNCT
brj-24486	354	6	górnicki	górnicki	PROPN
brj-24486	354	7	,	,	PUNCT
brj-24486	354	8	k.	k.	PROPN
brj-24486	354	9	,	,	PUNCT
brj-24486	354	10	winiczenko	winiczenko	PROPN
brj-24486	354	11	,	,	PUNCT
brj-24486	354	12	r.	r.	PROPN
brj-24486	354	13	,	,	PUNCT
brj-24486	354	14	and	and	CCONJ
brj-24486	354	15	chojnacka	chojnacka	PROPN
brj-24486	354	16	,	,	PUNCT
brj-24486	354	17	a.	a.	NOUN
brj-24486	354	18	(	(	PUNCT
brj-24486	354	19	2013	2013	NUM
brj-24486	354	20	)	)	PUNCT
brj-24486	354	21	.	.	PUNCT
brj-24486	355	1	“	"	PUNCT
brj-24486	355	2	evaluation	evaluation	NOUN
brj-24486	355	3	of	of	ADP
brj-24486	355	4	drying	dry	VERB
brj-24486	355	5	models	model	NOUN
brj-24486	355	6	of	of	ADP
brj-24486	355	7	apple	apple	NOUN
brj-24486	355	8	(	(	PUNCT
brj-24486	355	9	var	var	NOUN
brj-24486	355	10	.	.	PUNCT
brj-24486	355	11	ligol	ligol	NOUN
brj-24486	355	12	)	)	PUNCT
brj-24486	355	13	dried	dry	VERB
brj-24486	355	14	in	in	ADP
brj-24486	355	15	a	a	DET
brj-24486	355	16	fluidized	fluidize	VERB
brj-24486	355	17	bed	bed	NOUN
brj-24486	355	18	dryer	dryer	NOUN
brj-24486	355	19	,	,	PUNCT
brj-24486	355	20	”	"	PUNCT
brj-24486	355	21	energy	energy	NOUN
brj-24486	355	22	https://doi.org/10.3390/f10010016	https://doi.org/10.3390/f10010016	PRON
brj-24486	355	23	https://doi.org/10.1016/j.heliyon.2020.e05151	https://doi.org/10.1016/j.heliyon.2020.e05151	NOUN
brj-24486	355	24	https://doi.org/10.1007/s40030-020-00431-x	https://doi.org/10.1007/s40030-020-00431-x	PROPN
brj-24486	355	25	https://doi.org/10.1016/j.biosystemseng%20.2007.06.011	https://doi.org/10.1016/j.biosystemseng%20.2007.06.011	PROPN
brj-24486	355	26	https://doi.org/10.1016/j.jfoodeng.2005.12.047	https://doi.org/10.1016/j.jfoodeng.2005.12.047	PROPN
brj-24486	355	27	https://doi.org/10.1007/s13399-017-0257-7	https://doi.org/10.1007/s13399-017-0257-7	PROPN
brj-24486	355	28	https://doi.org/10.12777/ijse.7.2.193-198	https://doi.org/10.12777/ijse.7.2.193-198	VERB
brj-24486	355	29	https://doi.org/10.1080/07373930601031463	https://doi.org/10.1080/07373930601031463	ADJ
brj-24486	355	30	https://doi.org/10.1080/07373930601031463	https://doi.org/10.1080/07373930601031463	ADJ
brj-24486	355	31	https://doi.org/10.1515/pjct-2016-0072	https://doi.org/10.1515/pjct-2016-0072	NOUN
brj-24486	355	32	https://doi.org/10.1016/j.jfoodeng.%202008.06.022	https://doi.org/10.1016/j.jfoodeng.%202008.06.022	NOUN
brj-24486	355	33	https://doi.org/10.1016/j.jfoodeng.%202008.06.022	https://doi.org/10.1016/j.jfoodeng.%202008.06.022	PROPN
brj-24486	355	34	https://doi.org/10.1016/j.tifs.2021.02.039	https://doi.org/10.1016/j.tifs.2021.02.039	PROPN
brj-24486	355	35	https://doi.org/10.1088/1755-1315/101/1/012011	https://doi.org/10.1088/1755-1315/101/1/012011	PUNCT
brj-24486	355	36	https://doi.org/10.1088/1755-1315/101/1/012011	https://doi.org/10.1088/1755-1315/101/1/012011	SCONJ
brj-24486	355	37	https://doi.org/10.1111/j.1365-2621.2010.02230.x	https://doi.org/10.1111/j.1365-2621.2010.02230.x	ADJ
brj-24486	355	38	peer	peer	NOUN
brj-24486	355	39	-	-	PUNCT
brj-24486	355	40	reviewed	review	VERB
brj-24486	355	41	article	article	NOUN
brj-24486	355	42	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	355	43	arabi	arabi	PROPN
brj-24486	355	44	&	&	CCONJ
brj-24486	355	45	ghalehno	ghalehno	PROPN
brj-24486	355	46	(	(	PUNCT
brj-24486	355	47	2026	2026	NUM
brj-24486	355	48	)	)	PUNCT
brj-24486	355	49	.	.	PUNCT
brj-24486	356	1	“	"	PUNCT
brj-24486	356	2	wood	wood	NOUN
brj-24486	356	3	fiber	fiber	NOUN
brj-24486	356	4	drying	dry	VERB
brj-24486	356	5	,	,	PUNCT
brj-24486	356	6	”	"	PUNCT
brj-24486	356	7	bioresources	bioresource	NOUN
brj-24486	356	8	21(1	21(1	NUM
brj-24486	356	9	)	)	PUNCT
brj-24486	356	10	,	,	PUNCT
brj-24486	356	11	654	654	NUM
brj-24486	356	12	-	-	SYM
brj-24486	356	13	672	672	NUM
brj-24486	356	14	.	.	PUNCT
brj-24486	357	1	671	671	NUM
brj-24486	357	2	conversion	conversion	NOUN
brj-24486	357	3	and	and	CCONJ
brj-24486	357	4	management	management	NOUN
brj-24486	357	5	67	67	NUM
brj-24486	357	6	,	,	PUNCT
brj-24486	357	7	179	179	NUM
brj-24486	357	8	-	-	SYM
brj-24486	357	9	185	185	NUM
brj-24486	357	10	.	.	PUNCT
brj-24486	358	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
brj-24486	358	2	.enconman.2012.11.011	.enconman.2012.11.011	PUNCT
brj-24486	359	1	kaur	kaur	PROPN
brj-24486	359	2	,	,	PUNCT
brj-24486	359	3	k.	k.	PROPN
brj-24486	359	4	,	,	PUNCT
brj-24486	359	5	and	and	CCONJ
brj-24486	359	6	singh	singh	PROPN
brj-24486	359	7	,	,	PUNCT
brj-24486	359	8	a.	a.	PROPN
brj-24486	359	9	k.	k.	PROPN
brj-24486	359	10	(	(	PUNCT
brj-24486	359	11	2014	2014	NUM
brj-24486	359	12	)	)	PUNCT
brj-24486	359	13	.	.	PUNCT
brj-24486	360	1	“	"	PUNCT
brj-24486	360	2	drying	dry	VERB
brj-24486	360	3	kinetics	kinetic	NOUN
brj-24486	360	4	and	and	CCONJ
brj-24486	360	5	quality	quality	NOUN
brj-24486	360	6	characteristics	characteristic	NOUN
brj-24486	360	7	of	of	ADP
brj-24486	360	8	beetroot	beetroot	NOUN
brj-24486	360	9	slices	slice	NOUN
brj-24486	360	10	under	under	ADP
brj-24486	360	11	hot	hot	ADJ
brj-24486	360	12	air	air	NOUN
brj-24486	360	13	followed	follow	VERB
brj-24486	360	14	by	by	ADP
brj-24486	360	15	microwave	microwave	NOUN
brj-24486	360	16	finish	finish	NOUN
brj-24486	360	17	drying	dry	VERB
brj-24486	360	18	,	,	PUNCT
brj-24486	360	19	”	"	PUNCT
brj-24486	360	20	african	african	ADJ
brj-24486	360	21	journal	journal	NOUN
brj-24486	360	22	of	of	ADP
brj-24486	360	23	agricultural	agricultural	ADJ
brj-24486	360	24	research	research	NOUN
brj-24486	360	25	9(12	9(12	NUM
brj-24486	360	26	)	)	PUNCT
brj-24486	360	27	,	,	PUNCT
brj-24486	360	28	1036	1036	NUM
brj-24486	360	29	-	-	SYM
brj-24486	360	30	1044	1044	NUM
brj-24486	360	31	.	.	PUNCT
brj-24486	361	1	https://doi.org/10.5897	https://doi.org/10.5897	PROPN
brj-24486	361	2	/ajar2013.7759	/ajar2013.7759	PUNCT
brj-24486	361	3	kong	kong	PROPN
brj-24486	361	4	,	,	PUNCT
brj-24486	361	5	l.	l.	PROPN
brj-24486	361	6	,	,	PUNCT
brj-24486	361	7	yang	yang	PROPN
brj-24486	361	8	,	,	PUNCT
brj-24486	361	9	x.	x.	PROPN
brj-24486	361	10	,	,	PUNCT
brj-24486	361	11	hou	hou	PROPN
brj-24486	361	12	,	,	PUNCT
brj-24486	361	13	z.	z.	PROPN
brj-24486	361	14	,	,	PUNCT
brj-24486	361	15	and	and	CCONJ
brj-24486	361	16	dong	dong	PROPN
brj-24486	361	17	,	,	PUNCT
brj-24486	361	18	j.	j.	PROPN
brj-24486	361	19	(	(	PUNCT
brj-24486	361	20	2022	2022	NUM
brj-24486	361	21	)	)	PUNCT
brj-24486	361	22	.	.	PUNCT
brj-24486	362	1	“	"	PUNCT
brj-24486	362	2	evaluation	evaluation	NOUN
brj-24486	362	3	of	of	ADP
brj-24486	362	4	thin	thin	ADJ
brj-24486	362	5	-	-	PUNCT
brj-24486	362	6	layer	layer	NOUN
brj-24486	362	7	models	model	NOUN
brj-24486	362	8	for	for	ADP
brj-24486	362	9	kinetic	kinetic	ADJ
brj-24486	362	10	analysis	analysis	NOUN
brj-24486	362	11	in	in	ADP
brj-24486	362	12	unbleached	unbleached	ADJ
brj-24486	362	13	kraft	kraft	NOUN
brj-24486	362	14	pulpboard	pulpboard	NOUN
brj-24486	362	15	drying	dry	VERB
brj-24486	362	16	,	,	PUNCT
brj-24486	362	17	”	"	PUNCT
brj-24486	362	18	iranian	iranian	ADJ
brj-24486	362	19	journal	journal	NOUN
brj-24486	362	20	of	of	ADP
brj-24486	362	21	chemistry	chemistry	NOUN
brj-24486	362	22	and	and	CCONJ
brj-24486	362	23	chemical	chemical	NOUN
brj-24486	362	24	engineering	engineering	NOUN
brj-24486	362	25	41(3	41(3	NOUN
brj-24486	362	26	)	)	PUNCT
brj-24486	362	27	,	,	PUNCT
brj-24486	362	28	1022	1022	NUM
brj-24486	362	29	-	-	SYM
brj-24486	362	30	1033	1033	NUM
brj-24486	362	31	.	.	PUNCT
brj-24486	363	1	https://doi.org/1021-9986/2022/3/10221033	https://doi.org/1021-9986/2022/3/10221033	PROPN
brj-24486	363	2	kong	kong	PROPN
brj-24486	363	3	,	,	PUNCT
brj-24486	363	4	l.	l.	PROPN
brj-24486	363	5	,	,	PUNCT
brj-24486	363	6	yang	yang	PROPN
brj-24486	363	7	,	,	PUNCT
brj-24486	363	8	x.	x.	PROPN
brj-24486	363	9	,	,	PUNCT
brj-24486	363	10	hou	hou	PROPN
brj-24486	363	11	,	,	PUNCT
brj-24486	363	12	z.	z.	PROPN
brj-24486	363	13	,	,	PUNCT
brj-24486	363	14	and	and	CCONJ
brj-24486	363	15	dong	dong	PROPN
brj-24486	363	16	,	,	PUNCT
brj-24486	363	17	j.	j.	PROPN
brj-24486	363	18	(	(	PUNCT
brj-24486	363	19	2020	2020	NUM
brj-24486	363	20	)	)	PUNCT
brj-24486	363	21	.	.	PUNCT
brj-24486	364	1	“	"	PUNCT
brj-24486	364	2	mathematical	mathematical	ADJ
brj-24486	364	3	modeling	modeling	NOUN
brj-24486	364	4	of	of	ADP
brj-24486	364	5	drying	dry	VERB
brj-24486	364	6	kinetics	kinetic	NOUN
brj-24486	364	7	for	for	ADP
brj-24486	364	8	pulp	pulp	NOUN
brj-24486	364	9	sheet	sheet	NOUN
brj-24486	364	10	based	base	VERB
brj-24486	364	11	on	on	ADP
brj-24486	364	12	fick	fick	PROPN
brj-24486	364	13	’s	’s	PART
brj-24486	364	14	second	second	ADJ
brj-24486	364	15	law	law	NOUN
brj-24486	364	16	of	of	ADP
brj-24486	364	17	diffusion	diffusion	NOUN
brj-24486	364	18	,	,	PUNCT
brj-24486	364	19	”	"	PUNCT
brj-24486	364	20	journal	journal	NOUN
brj-24486	364	21	of	of	ADP
brj-24486	364	22	korea	korea	PROPN
brj-24486	364	23	tappi	tappi	PROPN
brj-24486	364	24	52(2	52(2	NUM
brj-24486	364	25	)	)	PUNCT
brj-24486	364	26	,	,	PUNCT
brj-24486	364	27	23	23	NUM
brj-24486	364	28	-	-	SYM
brj-24486	364	29	31	31	NUM
brj-24486	364	30	.	.	PUNCT
brj-24486	365	1	https://doi.org/10.7584/jktappi.2020.04.52.2.23	https://doi.org/10.7584/jktappi.2020.04.52.2.23	PROPN
brj-24486	365	2	kumar	kumar	PROPN
brj-24486	365	3	,	,	PUNCT
brj-24486	365	4	n.	n.	PROPN
brj-24486	365	5	,	,	PUNCT
brj-24486	365	6	sarkar	sarkar	PROPN
brj-24486	365	7	,	,	PUNCT
brj-24486	365	8	b.	b.	PROPN
brj-24486	365	9	c.	c.	PROPN
brj-24486	365	10	,	,	PUNCT
brj-24486	365	11	and	and	CCONJ
brj-24486	365	12	sharma	sharma	PROPN
brj-24486	365	13	,	,	PUNCT
brj-24486	365	14	h.	h.	PROPN
brj-24486	365	15	k.	k.	PROPN
brj-24486	365	16	(	(	PUNCT
brj-24486	365	17	2012	2012	NUM
brj-24486	365	18	)	)	PUNCT
brj-24486	365	19	.	.	PUNCT
brj-24486	366	1	“	"	PUNCT
brj-24486	366	2	mathematical	mathematical	ADJ
brj-24486	366	3	modelling	modelling	NOUN
brj-24486	366	4	of	of	ADP
brj-24486	366	5	thin	thin	ADJ
brj-24486	366	6	layer	layer	NOUN
brj-24486	366	7	hot	hot	ADJ
brj-24486	366	8	air	air	NOUN
brj-24486	366	9	drying	drying	NOUN
brj-24486	366	10	of	of	ADP
brj-24486	366	11	carrot	carrot	NOUN
brj-24486	366	12	pomace	pomace	NOUN
brj-24486	366	13	,	,	PUNCT
brj-24486	366	14	”	"	PUNCT
brj-24486	366	15	journal	journal	NOUN
brj-24486	366	16	of	of	ADP
brj-24486	366	17	food	food	NOUN
brj-24486	366	18	science	science	NOUN
brj-24486	366	19	and	and	CCONJ
brj-24486	366	20	technology	technology	NOUN
brj-24486	366	21	49	49	NUM
brj-24486	366	22	,	,	PUNCT
brj-24486	366	23	33	33	NUM
brj-24486	366	24	-	-	SYM
brj-24486	366	25	41	41	NUM
brj-24486	366	26	.	.	PUNCT
brj-24486	367	1	https://doi.org/10.1007/s13197-011-0266-7	https://doi.org/10.1007/s13197-011-0266-7	NUM
brj-24486	367	2	lee	lee	PROPN
brj-24486	367	3	,	,	PUNCT
brj-24486	367	4	j.	j.	PROPN
brj-24486	367	5	h.	h.	PROPN
brj-24486	367	6	,	,	PUNCT
brj-24486	367	7	and	and	CCONJ
brj-24486	367	8	kim	kim	PROPN
brj-24486	367	9	,	,	PUNCT
brj-24486	367	10	h.	h.	PROPN
brj-24486	367	11	j.	j.	PROPN
brj-24486	367	12	(	(	PUNCT
brj-24486	367	13	2009	2009	NUM
brj-24486	367	14	)	)	PUNCT
brj-24486	367	15	.	.	PUNCT
brj-24486	368	1	“	"	PUNCT
brj-24486	368	2	vacuum	vacuum	NOUN
brj-24486	368	3	drying	dry	VERB
brj-24486	368	4	kinetics	kinetic	NOUN
brj-24486	368	5	of	of	ADP
brj-24486	368	6	asian	asian	ADJ
brj-24486	368	7	white	white	ADJ
brj-24486	368	8	radish	radish	NOUN
brj-24486	368	9	(	(	PUNCT
brj-24486	368	10	raphanus	raphanus	PROPN
brj-24486	368	11	sativus	sativus	PROPN
brj-24486	368	12	l.	l.	PROPN
brj-24486	368	13	)	)	PUNCT
brj-24486	368	14	slices	slice	NOUN
brj-24486	368	15	,	,	PUNCT
brj-24486	368	16	”	"	PUNCT
brj-24486	368	17	lwt	lwt	NOUN
brj-24486	368	18	-	-	PUNCT
brj-24486	368	19	food	food	NOUN
brj-24486	368	20	science	science	NOUN
brj-24486	368	21	and	and	CCONJ
brj-24486	368	22	technology	technology	NOUN
brj-24486	368	23	42(1	42(1	NOUN
brj-24486	368	24	)	)	PUNCT
brj-24486	368	25	,	,	PUNCT
brj-24486	368	26	180	180	NUM
brj-24486	368	27	-	-	SYM
brj-24486	368	28	186	186	NUM
brj-24486	368	29	.	.	PUNCT
brj-24486	369	1	https://doi.org/10.1016/j.lwt.2008	https://doi.org/10.1016/j.lwt.2008	NOUN
brj-24486	369	2	.	.	PUNCT
brj-24486	370	1	05.017	05.017	NUM
brj-24486	370	2	li	li	PROPN
brj-24486	370	3	,	,	PUNCT
brj-24486	370	4	x.	x.	NOUN
brj-24486	370	5	,	,	PUNCT
brj-24486	370	6	and	and	CCONJ
brj-24486	370	7	zhao	zhao	PROPN
brj-24486	370	8	,	,	PUNCT
brj-24486	370	9	z.	z.	PROPN
brj-24486	370	10	(	(	PUNCT
brj-24486	370	11	2020	2020	NUM
brj-24486	370	12	)	)	PUNCT
brj-24486	370	13	.	.	PUNCT
brj-24486	371	1	“	"	PUNCT
brj-24486	371	2	time	time	NOUN
brj-24486	371	3	domain	domain	NOUN
brj-24486	371	4	-	-	PUNCT
brj-24486	371	5	nmr	nmr	NOUN
brj-24486	371	6	studies	study	NOUN
brj-24486	371	7	of	of	ADP
brj-24486	371	8	average	average	ADJ
brj-24486	371	9	pore	pore	ADJ
brj-24486	371	10	size	size	NOUN
brj-24486	371	11	of	of	ADP
brj-24486	371	12	wood	wood	NOUN
brj-24486	371	13	cell	cell	NOUN
brj-24486	371	14	walls	wall	NOUN
brj-24486	371	15	during	during	ADP
brj-24486	371	16	drying	dry	VERB
brj-24486	371	17	and	and	CCONJ
brj-24486	371	18	moisture	moisture	NOUN
brj-24486	371	19	adsorption	adsorption	NOUN
brj-24486	371	20	,	,	PUNCT
brj-24486	371	21	”	"	PUNCT
brj-24486	371	22	wood	wood	NOUN
brj-24486	371	23	science	science	NOUN
brj-24486	371	24	and	and	CCONJ
brj-24486	371	25	technology	technology	NOUN
brj-24486	371	26	54(5	54(5	NOUN
brj-24486	371	27	)	)	PUNCT
brj-24486	371	28	,	,	PUNCT
brj-24486	371	29	1241	1241	NUM
brj-24486	371	30	-	-	SYM
brj-24486	371	31	1251	1251	NUM
brj-24486	371	32	.	.	PUNCT
brj-24486	372	1	https://doi.org/10.1007/s00226-020-01209-x	https://doi.org/10.1007/s00226-020-01209-x	PROPN
brj-24486	372	2	midilli	midilli	PROPN
brj-24486	372	3	,	,	PUNCT
brj-24486	372	4	a.	a.	PROPN
brj-24486	372	5	d.	d.	PROPN
brj-24486	372	6	n.	n.	PROPN
brj-24486	372	7	a.	a.	PROPN
brj-24486	372	8	n.	n.	PROPN
brj-24486	372	9	,	,	PUNCT
brj-24486	372	10	kucuk	kucuk	NOUN
brj-24486	372	11	,	,	PUNCT
brj-24486	372	12	h.	h.	PROPN
brj-24486	372	13	a.	a.	PROPN
brj-24486	372	14	y.	y.	PROPN
brj-24486	372	15	d.	d.	PROPN
brj-24486	372	16	a.	a.	PROPN
brj-24486	372	17	r.	r.	PROPN
brj-24486	372	18	,	,	PUNCT
brj-24486	372	19	and	and	CCONJ
brj-24486	372	20	yapar	yapar	NOUN
brj-24486	372	21	,	,	PUNCT
brj-24486	372	22	z.	z.	PROPN
brj-24486	372	23	i̇.	i̇.	PROPN
brj-24486	372	24	y.	y.	PROPN
brj-24486	372	25	a.	a.	PROPN
brj-24486	372	26	(	(	PUNCT
brj-24486	372	27	2002	2002	NUM
brj-24486	372	28	)	)	PUNCT
brj-24486	372	29	.	.	PUNCT
brj-24486	373	1	“	"	PUNCT
brj-24486	373	2	a	a	DET
brj-24486	373	3	new	new	ADJ
brj-24486	373	4	model	model	NOUN
brj-24486	373	5	for	for	ADP
brj-24486	373	6	single	single	ADJ
brj-24486	373	7	-	-	PUNCT
brj-24486	373	8	layer	layer	NOUN
brj-24486	373	9	drying	drying	NOUN
brj-24486	373	10	,	,	PUNCT
brj-24486	373	11	”	"	PUNCT
brj-24486	373	12	drying	dry	VERB
brj-24486	373	13	technology	technology	NOUN
brj-24486	373	14	20(7	20(7	NOUN
brj-24486	373	15	)	)	PUNCT
brj-24486	373	16	,	,	PUNCT
brj-24486	373	17	1503	1503	NUM
brj-24486	373	18	-	-	SYM
brj-24486	373	19	1513	1513	NUM
brj-24486	373	20	.	.	PUNCT
brj-24486	374	1	https://doi.org/10.1081/drt-120005864	https://doi.org/10.1081/drt-120005864	NUM
brj-24486	374	2	penttila	penttila	NOUN
brj-24486	374	3	,	,	PUNCT
brj-24486	374	4	p.	p.	NOUN
brj-24486	374	5	a.	a.	NOUN
brj-24486	374	6	,	,	PUNCT
brj-24486	374	7	paajanen	paajanen	PROPN
brj-24486	374	8	,	,	PUNCT
brj-24486	374	9	a.	a.	NOUN
brj-24486	374	10	,	,	PUNCT
brj-24486	374	11	and	and	CCONJ
brj-24486	374	12	ketoja	ketoja	PROPN
brj-24486	374	13	,	,	PUNCT
brj-24486	374	14	j.	j.	PROPN
brj-24486	374	15	a.	a.	PROPN
brj-24486	374	16	(	(	PUNCT
brj-24486	374	17	2021	2021	NUM
brj-24486	374	18	)	)	PUNCT
brj-24486	374	19	.	.	PUNCT
brj-24486	375	1	“	"	PUNCT
brj-24486	375	2	combining	combine	VERB
brj-24486	375	3	scattering	scatter	VERB
brj-24486	375	4	analysis	analysis	NOUN
brj-24486	375	5	and	and	CCONJ
brj-24486	375	6	atomistic	atomistic	ADJ
brj-24486	375	7	simulation	simulation	NOUN
brj-24486	375	8	of	of	ADP
brj-24486	375	9	wood	wood	NOUN
brj-24486	375	10	-	-	PUNCT
brj-24486	375	11	water	water	NOUN
brj-24486	375	12	interactions	interaction	NOUN
brj-24486	375	13	,	,	PUNCT
brj-24486	375	14	”	"	PUNCT
brj-24486	375	15	carbohydrate	carbohydrate	NOUN
brj-24486	375	16	polymers	polymer	NOUN
brj-24486	375	17	251	251	NUM
brj-24486	375	18	,	,	PUNCT
brj-24486	375	19	article	article	NOUN
brj-24486	375	20	117064	117064	NUM
brj-24486	375	21	.	.	PUNCT
brj-24486	376	1	https://doi.org/10.1016/j.carbpol.2020.117064	https://doi.org/10.1016/j.carbpol.2020.117064	VERB
brj-24486	376	2	remond	remond	PROPN
brj-24486	376	3	,	,	PUNCT
brj-24486	376	4	r.	r.	PROPN
brj-24486	376	5	,	,	PUNCT
brj-24486	376	6	perré	perré	ADV
brj-24486	376	7	,	,	PUNCT
brj-24486	376	8	p.	p.	NOUN
brj-24486	376	9	,	,	PUNCT
brj-24486	376	10	and	and	CCONJ
brj-24486	376	11	mougel	mougel	NOUN
brj-24486	376	12	,	,	PUNCT
brj-24486	376	13	e.	e.	PROPN
brj-24486	376	14	(	(	PUNCT
brj-24486	376	15	2005	2005	NUM
brj-24486	376	16	)	)	PUNCT
brj-24486	376	17	.	.	PUNCT
brj-24486	377	1	“	"	PUNCT
brj-24486	377	2	using	use	VERB
brj-24486	377	3	the	the	DET
brj-24486	377	4	concept	concept	NOUN
brj-24486	377	5	of	of	ADP
brj-24486	377	6	thin	thin	ADJ
brj-24486	377	7	dry	dry	ADJ
brj-24486	377	8	layer	layer	NOUN
brj-24486	377	9	to	to	PART
brj-24486	377	10	explain	explain	VERB
brj-24486	377	11	the	the	DET
brj-24486	377	12	evolution	evolution	NOUN
brj-24486	377	13	of	of	ADP
brj-24486	377	14	thickness	thickness	NOUN
brj-24486	377	15	,	,	PUNCT
brj-24486	377	16	temperature	temperature	NOUN
brj-24486	377	17	,	,	PUNCT
brj-24486	377	18	and	and	CCONJ
brj-24486	377	19	moisture	moisture	NOUN
brj-24486	377	20	content	content	NOUN
brj-24486	377	21	during	during	ADP
brj-24486	377	22	convective	convective	ADJ
brj-24486	377	23	drying	drying	NOUN
brj-24486	377	24	of	of	ADP
brj-24486	377	25	norway	norway	NOUN
brj-24486	377	26	spruce	spruce	NOUN
brj-24486	377	27	boards	board	NOUN
brj-24486	377	28	,	,	PUNCT
brj-24486	377	29	”	"	PUNCT
brj-24486	377	30	drying	dry	VERB
brj-24486	377	31	technology	technology	NOUN
brj-24486	377	32	23(1	23(1	ADV
brj-24486	377	33	-	-	PUNCT
brj-24486	377	34	2	2	NUM
brj-24486	377	35	)	)	PUNCT
brj-24486	377	36	,	,	PUNCT
brj-24486	377	37	249	249	NUM
brj-24486	377	38	-	-	SYM
brj-24486	377	39	271	271	NUM
brj-24486	377	40	.	.	PUNCT
brj-24486	378	1	https://doi.org/10.1081/drt-200047883	https://doi.org/10.1081/drt-200047883	PROPN
brj-24486	378	2	salin	salin	PROPN
brj-24486	378	3	,	,	PUNCT
brj-24486	378	4	j.	j.	PROPN
brj-24486	378	5	g.	g.	PROPN
brj-24486	378	6	(	(	PUNCT
brj-24486	378	7	2008	2008	NUM
brj-24486	378	8	)	)	PUNCT
brj-24486	378	9	.	.	PUNCT
brj-24486	379	1	“	"	PUNCT
brj-24486	379	2	drying	dry	VERB
brj-24486	379	3	of	of	ADP
brj-24486	379	4	liquid	liquid	ADJ
brj-24486	379	5	water	water	NOUN
brj-24486	379	6	in	in	ADP
brj-24486	379	7	wood	wood	NOUN
brj-24486	379	8	as	as	SCONJ
brj-24486	379	9	influenced	influence	VERB
brj-24486	379	10	by	by	ADP
brj-24486	379	11	the	the	DET
brj-24486	379	12	capillary	capillary	ADJ
brj-24486	379	13	fiber	fiber	NOUN
brj-24486	379	14	network	network	NOUN
brj-24486	379	15	,	,	PUNCT
brj-24486	379	16	”	"	PUNCT
brj-24486	379	17	drying	dry	VERB
brj-24486	379	18	technology	technology	NOUN
brj-24486	379	19	26(5	26(5	NOUN
brj-24486	379	20	)	)	PUNCT
brj-24486	379	21	,	,	PUNCT
brj-24486	379	22	560	560	NUM
brj-24486	379	23	-	-	SYM
brj-24486	379	24	567	567	NUM
brj-24486	379	25	.	.	PUNCT
brj-24486	380	1	https://doi.org/10.1080/07373930801944747	https://doi.org/10.1080/07373930801944747	NOUN
brj-24486	380	2	sander	sander	NOUN
brj-24486	380	3	,	,	PUNCT
brj-24486	380	4	a.	a.	PROPN
brj-24486	380	5	,	,	PUNCT
brj-24486	380	6	kardum	kardum	PROPN
brj-24486	380	7	,	,	PUNCT
brj-24486	380	8	j.	j.	PROPN
brj-24486	380	9	p.	p.	PROPN
brj-24486	380	10	,	,	PUNCT
brj-24486	380	11	&	&	CCONJ
brj-24486	380	12	glasnović	glasnović	PROPN
brj-24486	380	13	,	,	PUNCT
brj-24486	380	14	a.	a.	NOUN
brj-24486	380	15	(	(	PUNCT
brj-24486	380	16	2010	2010	NUM
brj-24486	380	17	)	)	PUNCT
brj-24486	380	18	.	.	PUNCT
brj-24486	381	1	“	"	PUNCT
brj-24486	381	2	drying	dry	VERB
brj-24486	381	3	of	of	ADP
brj-24486	381	4	solids	solid	NOUN
brj-24486	381	5	;	;	PUNCT
brj-24486	381	6	estimation	estimation	NOUN
brj-24486	381	7	of	of	ADP
brj-24486	381	8	the	the	DET
brj-24486	381	9	mathematical	mathematical	ADJ
brj-24486	381	10	model	model	NOUN
brj-24486	381	11	parameters	parameter	NOUN
brj-24486	381	12	,	,	PUNCT
brj-24486	381	13	”	"	PUNCT
brj-24486	381	14	the	the	DET
brj-24486	381	15	canadian	canadian	ADJ
brj-24486	381	16	journal	journal	PROPN
brj-24486	381	17	of	of	ADP
brj-24486	381	18	chemical	chemical	PROPN
brj-24486	381	19	engineering	engineering	NOUN
brj-24486	381	20	,	,	PUNCT
brj-24486	381	21	88(5	88(5	PROPN
brj-24486	381	22	)	)	PUNCT
brj-24486	381	23	,	,	PUNCT
brj-24486	381	24	822	822	NUM
brj-24486	381	25	-	-	SYM
brj-24486	381	26	829	829	NUM
brj-24486	381	27	.	.	PUNCT
brj-24486	382	1	saxena	saxena	PROPN
brj-24486	382	2	,	,	PUNCT
brj-24486	382	3	g.	g.	PROPN
brj-24486	382	4	,	,	PUNCT
brj-24486	382	5	gaur	gaur	NOUN
brj-24486	382	6	,	,	PUNCT
brj-24486	382	7	m.	m.	NOUN
brj-24486	382	8	k.	k.	PROPN
brj-24486	382	9	,	,	PUNCT
brj-24486	382	10	and	and	CCONJ
brj-24486	382	11	kushwah	kushwah	PROPN
brj-24486	382	12	,	,	PUNCT
brj-24486	382	13	a.	a.	NOUN
brj-24486	382	14	(	(	PUNCT
brj-24486	382	15	2022	2022	NUM
brj-24486	382	16	)	)	PUNCT
brj-24486	382	17	.	.	PUNCT
brj-24486	383	1	“	"	PUNCT
brj-24486	383	2	performance	performance	NOUN
brj-24486	383	3	analysis	analysis	NOUN
brj-24486	383	4	and	and	CCONJ
brj-24486	383	5	ann	ann	PROPN
brj-24486	383	6	modelling	modelling	NOUN
brj-24486	383	7	of	of	ADP
brj-24486	383	8	apple	apple	NOUN
brj-24486	383	9	drying	dry	VERB
brj-24486	383	10	in	in	ADP
brj-24486	383	11	etsc	etsc	NOUN
brj-24486	383	12	-	-	PUNCT
brj-24486	383	13	assisted	assist	VERB
brj-24486	383	14	hybrid	hybrid	ADJ
brj-24486	383	15	active	active	ADJ
brj-24486	383	16	dryer	dryer	NOUN
brj-24486	383	17	,	,	PUNCT
brj-24486	383	18	”	"	PUNCT
brj-24486	383	19	in	in	ADP
brj-24486	383	20	:	:	PUNCT
brj-24486	383	21	artificial	artificial	ADJ
brj-24486	383	22	intelligence	intelligence	NOUN
brj-24486	383	23	and	and	CCONJ
brj-24486	383	24	sustainable	sustainable	ADJ
brj-24486	383	25	computing	computing	NOUN
brj-24486	383	26	:	:	PUNCT
brj-24486	383	27	proceedings	proceeding	NOUN
brj-24486	383	28	of	of	ADP
brj-24486	383	29	icsiscet	icsiscet	ADJ
brj-24486	383	30	2020	2020	NUM
brj-24486	383	31	,	,	PUNCT
brj-24486	383	32	pp	pp	ADV
brj-24486	383	33	.	.	PUNCT
brj-24486	383	34	275294	275294	NUM
brj-24486	383	35	.	.	PUNCT
brj-24486	384	1	https://doi.org/10.1007/978-981-16-1220-6_24	https://doi.org/10.1007/978-981-16-1220-6_24	PROPN
brj-24486	384	2	sjöstrand	sjöstrand	PROPN
brj-24486	384	3	,	,	PUNCT
brj-24486	384	4	b.	b.	PROPN
brj-24486	384	5	,	,	PUNCT
brj-24486	384	6	karlsson	karlsson	PROPN
brj-24486	384	7	,	,	PUNCT
brj-24486	384	8	c.-a	c.-a	PROPN
brj-24486	384	9	.	.	PROPN
brj-24486	384	10	,	,	PUNCT
brj-24486	384	11	barbier	barbier	PROPN
brj-24486	384	12	,	,	PUNCT
brj-24486	384	13	c.	c.	PROPN
brj-24486	384	14	,	,	PUNCT
brj-24486	384	15	and	and	CCONJ
brj-24486	384	16	henriksson	henriksson	NOUN
brj-24486	384	17	,	,	PUNCT
brj-24486	384	18	g.	g.	PROPN
brj-24486	384	19	(	(	PUNCT
brj-24486	384	20	2023	2023	NUM
brj-24486	384	21	)	)	PUNCT
brj-24486	384	22	.	.	PUNCT
brj-24486	385	1	“	"	PUNCT
brj-24486	385	2	hornification	hornification	NOUN
brj-24486	385	3	in	in	ADP
brj-24486	385	4	commercial	commercial	ADJ
brj-24486	385	5	chemical	chemical	NOUN
brj-24486	385	6	pulps	pulp	NOUN
brj-24486	385	7	:	:	PUNCT
brj-24486	385	8	dependence	dependence	NOUN
brj-24486	385	9	on	on	ADP
brj-24486	385	10	water	water	NOUN
brj-24486	385	11	removal	removal	NOUN
brj-24486	385	12	and	and	CCONJ
brj-24486	385	13	hornification	hornification	NOUN
brj-24486	385	14	mechanisms	mechanism	NOUN
brj-24486	385	15	,	,	PUNCT
brj-24486	385	16	”	"	PUNCT
brj-24486	385	17	bioresources	bioresource	NOUN
brj-24486	385	18	18(2	18(2	NUM
brj-24486	385	19	)	)	PUNCT
brj-24486	385	20	,	,	PUNCT
brj-24486	385	21	3856	3856	NUM
brj-24486	385	22	-	-	SYM
brj-24486	385	23	3869	3869	NUM
brj-24486	385	24	.	.	PUNCT
brj-24486	386	1	https://doi.org/10.15376/biores.18.2.3856-3869	https://doi.org/10.15376/biores.18.2.3856-3869	PROPN
brj-24486	386	2	vega	vega	PROPN
brj-24486	386	3	,	,	PUNCT
brj-24486	386	4	a.	a.	PROPN
brj-24486	386	5	,	,	PUNCT
brj-24486	386	6	fito	fito	PROPN
brj-24486	386	7	,	,	PUNCT
brj-24486	386	8	p.	p.	PROPN
brj-24486	386	9	,	,	PUNCT
brj-24486	386	10	andrés	andrés	PROPN
brj-24486	386	11	,	,	PUNCT
brj-24486	386	12	a.	a.	NOUN
brj-24486	386	13	,	,	PUNCT
brj-24486	386	14	and	and	CCONJ
brj-24486	386	15	lemus	lemus	PROPN
brj-24486	386	16	,	,	PUNCT
brj-24486	386	17	r.	r.	PROPN
brj-24486	386	18	(	(	PUNCT
brj-24486	386	19	2007	2007	NUM
brj-24486	386	20	)	)	PUNCT
brj-24486	386	21	.	.	PUNCT
brj-24486	387	1	“	"	PUNCT
brj-24486	387	2	mathematical	mathematical	ADJ
brj-24486	387	3	modeling	modeling	NOUN
brj-24486	387	4	of	of	ADP
brj-24486	387	5	hot	hot	ADJ
brj-24486	387	6	-	-	PUNCT
brj-24486	387	7	air	air	NOUN
brj-24486	387	8	drying	dry	VERB
brj-24486	387	9	kinetics	kinetic	NOUN
brj-24486	387	10	of	of	ADP
brj-24486	387	11	red	red	ADJ
brj-24486	387	12	bell	bell	PROPN
brj-24486	387	13	pepper	pepper	NOUN
brj-24486	387	14	(	(	PUNCT
brj-24486	387	15	var	var	NOUN
brj-24486	387	16	.	.	PUNCT
brj-24486	387	17	lamuyo	lamuyo	PROPN
brj-24486	387	18	)	)	PUNCT
brj-24486	387	19	,	,	PUNCT
brj-24486	387	20	”	"	PUNCT
brj-24486	387	21	journal	journal	NOUN
brj-24486	387	22	of	of	ADP
brj-24486	387	23	food	food	NOUN
brj-24486	387	24	engineering	engineering	NOUN
brj-24486	387	25	79(4	79(4	NOUN
brj-24486	387	26	)	)	PUNCT
brj-24486	387	27	,	,	PUNCT
brj-24486	387	28	1460	1460	NUM
brj-24486	387	29	-	-	SYM
brj-24486	387	30	1466	1466	NUM
brj-24486	387	31	.	.	PUNCT
brj-24486	388	1	https://doi.org/10.1016/j.jfoodeng.2006.04.028	https://doi.org/10.1016/j.jfoodeng.2006.04.028	ADJ
brj-24486	388	2	https://doi.org/10.1016/j%20.enconman.2012.11.011	https://doi.org/10.1016/j%20.enconman.2012.11.011	PROPN
brj-24486	388	3	https://doi.org/10.1016/j%20.enconman.2012.11.011	https://doi.org/10.1016/j%20.enconman.2012.11.011	PROPN
brj-24486	388	4	https://doi.org/10.5897%20/ajar2013.7759	https://doi.org/10.5897%20/ajar2013.7759	PROPN
brj-24486	388	5	https://doi.org/1021-9986/2022/3/1022-1033	https://doi.org/1021-9986/2022/3/1022-1033	PROPN
brj-24486	388	6	https://doi.org/1021-9986/2022/3/1022-1033	https://doi.org/1021-9986/2022/3/1022-1033	PROPN
brj-24486	388	7	https://doi.org/10.7584/jktappi.2020.04.52.2.23	https://doi.org/10.7584/jktappi.2020.04.52.2.23	PROPN
brj-24486	388	8	https://doi.org/10.1007/s13197-011-0266-7	https://doi.org/10.1007/s13197-011-0266-7	NUM
brj-24486	388	9	https://doi.org/10.1016/j.lwt.2008.%2005.017	https://doi.org/10.1016/j.lwt.2008.%2005.017	PROPN
brj-24486	388	10	https://doi.org/10.1007/s00226-020-01209-x	https://doi.org/10.1007/s00226-020-01209-x	PROPN
brj-24486	388	11	https://doi.org/10.1081/drt-120005864	https://doi.org/10.1081/drt-120005864	NUM
brj-24486	388	12	https://doi.org/10.1016/j.carbpol.2020.117064	https://doi.org/10.1016/j.carbpol.2020.117064	VERB
brj-24486	388	13	https://doi.org/10.1081/drt-200047883	https://doi.org/10.1081/drt-200047883	PROPN
brj-24486	388	14	https://doi.org/10.1080/07373930801944747	https://doi.org/10.1080/07373930801944747	PROPN
brj-24486	388	15	https://doi.org/10.1007/978-981-16-1220-6_24	https://doi.org/10.1007/978-981-16-1220-6_24	NOUN
brj-24486	388	16	https://doi.org/10.15376/biores.18.2.3856-3869	https://doi.org/10.15376/biores.18.2.3856-3869	PROPN
brj-24486	388	17	https://doi.org/10.1016/j.jfoodeng.2006.04.028	https://doi.org/10.1016/j.jfoodeng.2006.04.028	ADJ
brj-24486	388	18	peer	peer	NOUN
brj-24486	388	19	-	-	PUNCT
brj-24486	388	20	reviewed	review	VERB
brj-24486	388	21	article	article	NOUN
brj-24486	388	22	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24486	388	23	arabi	arabi	PROPN
brj-24486	388	24	&	&	CCONJ
brj-24486	388	25	ghalehno	ghalehno	PROPN
brj-24486	388	26	(	(	PUNCT
brj-24486	388	27	2026	2026	NUM
brj-24486	388	28	)	)	PUNCT
brj-24486	388	29	.	.	PUNCT
brj-24486	389	1	“	"	PUNCT
brj-24486	389	2	wood	wood	NOUN
brj-24486	389	3	fiber	fiber	NOUN
brj-24486	389	4	drying	dry	VERB
brj-24486	389	5	,	,	PUNCT
brj-24486	389	6	”	"	PUNCT
brj-24486	389	7	bioresources	bioresource	NOUN
brj-24486	389	8	21(1	21(1	NUM
brj-24486	389	9	)	)	PUNCT
brj-24486	389	10	,	,	PUNCT
brj-24486	389	11	654	654	NUM
brj-24486	389	12	-	-	SYM
brj-24486	389	13	672	672	NUM
brj-24486	389	14	.	.	PUNCT
brj-24486	389	15	672	672	NUM
brj-24486	389	16	verma	verma	PROPN
brj-24486	389	17	,	,	PUNCT
brj-24486	389	18	l.	l.	PROPN
brj-24486	389	19	r.	r.	PROPN
brj-24486	389	20	,	,	PUNCT
brj-24486	389	21	bucklin	bucklin	PROPN
brj-24486	389	22	,	,	PUNCT
brj-24486	389	23	r.	r.	PROPN
brj-24486	389	24	a.	a.	PROPN
brj-24486	389	25	,	,	PUNCT
brj-24486	389	26	endan	endan	PROPN
brj-24486	389	27	,	,	PUNCT
brj-24486	389	28	j.	j.	PROPN
brj-24486	389	29	b.	b.	PROPN
brj-24486	389	30	,	,	PUNCT
brj-24486	389	31	and	and	CCONJ
brj-24486	389	32	wratten	wratten	VERB
brj-24486	389	33	,	,	PUNCT
brj-24486	389	34	f.	f.	PROPN
brj-24486	389	35	t.	t.	PROPN
brj-24486	389	36	(	(	PUNCT
brj-24486	389	37	1985	1985	NUM
brj-24486	389	38	)	)	PUNCT
brj-24486	389	39	.	.	PUNCT
brj-24486	390	1	“	"	PUNCT
brj-24486	390	2	effects	effect	NOUN
brj-24486	390	3	of	of	ADP
brj-24486	390	4	drying	dry	VERB
brj-24486	390	5	air	air	NOUN
brj-24486	390	6	parameters	parameter	NOUN
brj-24486	390	7	on	on	ADP
brj-24486	390	8	rice	rice	NOUN
brj-24486	390	9	drying	dry	VERB
brj-24486	390	10	models	model	NOUN
brj-24486	390	11	,	,	PUNCT
brj-24486	390	12	”	"	PUNCT
brj-24486	390	13	transactions	transaction	NOUN
brj-24486	390	14	of	of	ADP
brj-24486	390	15	the	the	DET
brj-24486	390	16	asae	asae	PROPN
brj-24486	390	17	28(1	28(1	NOUN
brj-24486	390	18	)	)	PUNCT
brj-24486	390	19	,	,	PUNCT
brj-24486	390	20	296	296	NUM
brj-24486	390	21	-	-	SYM
brj-24486	390	22	0301	0301	NUM
brj-24486	390	23	.	.	PUNCT
brj-24486	391	1	wang	wang	PROPN
brj-24486	391	2	,	,	PUNCT
brj-24486	391	3	c.	c.	PROPN
brj-24486	391	4	y.	y.	PROPN
brj-24486	391	5	,	,	PUNCT
brj-24486	391	6	and	and	CCONJ
brj-24486	391	7	singh	singh	PROPN
brj-24486	391	8	,	,	PUNCT
brj-24486	391	9	r.	r.	PROPN
brj-24486	391	10	p.	p.	PROPN
brj-24486	391	11	(	(	PUNCT
brj-24486	391	12	1978	1978	NUM
brj-24486	391	13	)	)	PUNCT
brj-24486	391	14	.	.	PUNCT
brj-24486	392	1	“	"	PUNCT
brj-24486	392	2	a	a	DET
brj-24486	392	3	single	single	ADJ
brj-24486	392	4	layer	layer	NOUN
brj-24486	392	5	drying	dry	VERB
brj-24486	392	6	equation	equation	NOUN
brj-24486	392	7	for	for	ADP
brj-24486	392	8	rough	rough	ADJ
brj-24486	392	9	rice	rice	NOUN
brj-24486	392	10	,	,	PUNCT
brj-24486	392	11	”	"	PUNCT
brj-24486	392	12	asae	asae	VERB
brj-24486	392	13	paper	paper	NOUN
brj-24486	392	14	no	no	INTJ
brj-24486	392	15	.	.	PROPN
brj-24486	393	1	78	78	NUM
brj-24486	393	2	-	-	SYM
brj-24486	393	3	3001	3001	NUM
brj-24486	393	4	,	,	PUNCT
brj-24486	393	5	mi	mi	PROPN
brj-24486	393	6	,	,	PUNCT
brj-24486	393	7	usa	usa	PROPN
brj-24486	393	8	.	.	PROPN
brj-24486	393	9	wang	wang	PROPN
brj-24486	393	10	,	,	PUNCT
brj-24486	393	11	z.	z.	PROPN
brj-24486	393	12	,	,	PUNCT
brj-24486	393	13	sun	sun	PROPN
brj-24486	393	14	,	,	PUNCT
brj-24486	393	15	j.	j.	PROPN
brj-24486	393	16	,	,	PUNCT
brj-24486	393	17	liao	liao	PROPN
brj-24486	393	18	,	,	PUNCT
brj-24486	393	19	x.	x.	PROPN
brj-24486	393	20	,	,	PUNCT
brj-24486	393	21	chen	chen	PROPN
brj-24486	393	22	,	,	PUNCT
brj-24486	393	23	f.	f.	PROPN
brj-24486	393	24	,	,	PUNCT
brj-24486	393	25	zhao	zhao	PROPN
brj-24486	393	26	,	,	PUNCT
brj-24486	393	27	g.	g.	PROPN
brj-24486	393	28	,	,	PUNCT
brj-24486	393	29	wu	wu	PROPN
brj-24486	393	30	,	,	PUNCT
brj-24486	393	31	j.	j.	PROPN
brj-24486	393	32	,	,	PUNCT
brj-24486	393	33	and	and	CCONJ
brj-24486	393	34	hu	hu	PROPN
brj-24486	393	35	,	,	PUNCT
brj-24486	393	36	x.	x.	NOUN
brj-24486	393	37	(	(	PUNCT
brj-24486	393	38	2007a	2007a	NUM
brj-24486	393	39	)	)	PUNCT
brj-24486	393	40	.	.	PUNCT
brj-24486	394	1	“	"	PUNCT
brj-24486	394	2	mathematical	mathematical	ADJ
brj-24486	394	3	modeling	modeling	NOUN
brj-24486	394	4	on	on	ADP
brj-24486	394	5	hot	hot	ADJ
brj-24486	394	6	air	air	NOUN
brj-24486	394	7	drying	drying	NOUN
brj-24486	394	8	of	of	ADP
brj-24486	394	9	thin	thin	ADJ
brj-24486	394	10	layer	layer	NOUN
brj-24486	394	11	apple	apple	NOUN
brj-24486	394	12	pomace	pomace	NOUN
brj-24486	394	13	,	,	PUNCT
brj-24486	394	14	”	"	PUNCT
brj-24486	394	15	food	food	NOUN
brj-24486	394	16	research	research	NOUN
brj-24486	394	17	international	international	PROPN
brj-24486	394	18	,	,	PUNCT
brj-24486	394	19	40:39–46	40:39–46	NUM
brj-24486	394	20	.	.	PUNCT
brj-24486	395	1	wang	wang	PROPN
brj-24486	395	2	,	,	PUNCT
brj-24486	395	3	s.	s.	PROPN
brj-24486	395	4	,	,	PUNCT
brj-24486	395	5	zhang	zhang	PROPN
brj-24486	395	6	,	,	PUNCT
brj-24486	395	7	y.	y.	PROPN
brj-24486	395	8	and	and	CCONJ
brj-24486	395	9	xing	xing	PROPN
brj-24486	395	10	,	,	PUNCT
brj-24486	395	11	c.	c.	PROPN
brj-24486	395	12	(	(	PUNCT
brj-24486	395	13	2007	2007	NUM
brj-24486	395	14	)	)	PUNCT
brj-24486	395	15	.	.	PUNCT
brj-24486	396	1	“	"	PUNCT
brj-24486	396	2	effect	effect	NOUN
brj-24486	396	3	of	of	ADP
brj-24486	396	4	drying	dry	VERB
brj-24486	396	5	method	method	NOUN
brj-24486	396	6	on	on	ADP
brj-24486	396	7	the	the	DET
brj-24486	396	8	surface	surface	NOUN
brj-24486	396	9	wettability	wettability	NOUN
brj-24486	396	10	of	of	ADP
brj-24486	396	11	wood	wood	NOUN
brj-24486	396	12	strands	strand	NOUN
brj-24486	396	13	,	,	PUNCT
brj-24486	396	14	”	"	PUNCT
brj-24486	396	15	holz	holz	PROPN
brj-24486	396	16	roh	roh	PROPN
brj-24486	396	17	werkst	werkst	PROPN
brj-24486	396	18	65	65	NUM
brj-24486	396	19	,	,	PUNCT
brj-24486	396	20	437	437	NUM
brj-24486	396	21	-	-	SYM
brj-24486	396	22	442	442	NUM
brj-24486	396	23	.	.	PUNCT
brj-24486	397	1	https://doi.org/10.1007/s00107-007-0191-7	https://doi.org/10.1007/s00107-007-0191-7	NUM
brj-24486	397	2	wiberg	wiberg	PROPN
brj-24486	397	3	,	,	PUNCT
brj-24486	397	4	p.	p.	NOUN
brj-24486	397	5	,	,	PUNCT
brj-24486	397	6	and	and	CCONJ
brj-24486	397	7	morén	morén	VERB
brj-24486	397	8	,	,	PUNCT
brj-24486	397	9	t.	t.	PROPN
brj-24486	397	10	j.	j.	PROPN
brj-24486	397	11	(	(	PUNCT
brj-24486	397	12	1999	1999	NUM
brj-24486	397	13	)	)	PUNCT
brj-24486	397	14	.	.	PUNCT
brj-24486	398	1	“	"	PUNCT
brj-24486	398	2	moisture	moisture	NOUN
brj-24486	398	3	flux	flux	NOUN
brj-24486	398	4	determination	determination	NOUN
brj-24486	398	5	in	in	ADP
brj-24486	398	6	wood	wood	NOUN
brj-24486	398	7	during	during	ADP
brj-24486	398	8	drying	dry	VERB
brj-24486	398	9	above	above	ADP
brj-24486	398	10	fiber	fiber	NOUN
brj-24486	398	11	saturation	saturation	NOUN
brj-24486	398	12	point	point	NOUN
brj-24486	398	13	using	use	VERB
brj-24486	398	14	ct	ct	NOUN
brj-24486	398	15	-	-	PUNCT
brj-24486	398	16	scanning	scanning	NOUN
brj-24486	398	17	and	and	CCONJ
brj-24486	398	18	digital	digital	ADJ
brj-24486	398	19	image	image	NOUN
brj-24486	398	20	processing	processing	NOUN
brj-24486	398	21	,	,	PUNCT
brj-24486	398	22	”	"	PUNCT
brj-24486	398	23	holz	holz	PROPN
brj-24486	398	24	als	als	VERB
brj-24486	398	25	roh	roh	NOUN
brj-24486	398	26	-	-	PUNCT
brj-24486	398	27	und	und	NOUN
brj-24486	398	28	werkstoff	werkstoff	ADP
brj-24486	398	29	57(2	57(2	NOUN
brj-24486	398	30	)	)	PUNCT
brj-24486	398	31	,	,	PUNCT
brj-24486	398	32	137	137	NUM
brj-24486	398	33	-	-	SYM
brj-24486	398	34	144	144	NUM
brj-24486	398	35	.	.	PUNCT
brj-24486	399	1	https://doi.org/10.1007/s001070050029	https://doi.org/10.1007/s001070050029	PROPN
brj-24486	399	2	younis	younis	PROPN
brj-24486	399	3	,	,	PUNCT
brj-24486	399	4	m.	m.	NOUN
brj-24486	399	5	,	,	PUNCT
brj-24486	399	6	abdelkarim	abdelkarim	PROPN
brj-24486	399	7	,	,	PUNCT
brj-24486	399	8	d.	d.	PROPN
brj-24486	399	9	,	,	PUNCT
brj-24486	399	10	and	and	CCONJ
brj-24486	399	11	el	el	PROPN
brj-24486	399	12	-	-	PUNCT
brj-24486	399	13	abdein	abdein	NOUN
brj-24486	399	14	,	,	PUNCT
brj-24486	399	15	a.	a.	PROPN
brj-24486	399	16	z.	z.	PROPN
brj-24486	399	17	(	(	PUNCT
brj-24486	399	18	2018	2018	NUM
brj-24486	399	19	)	)	PUNCT
brj-24486	399	20	.	.	PUNCT
brj-24486	400	1	“	"	PUNCT
brj-24486	400	2	kinetics	kinetic	NOUN
brj-24486	400	3	and	and	CCONJ
brj-24486	400	4	mathematical	mathematical	ADJ
brj-24486	400	5	modeling	modeling	NOUN
brj-24486	400	6	of	of	ADP
brj-24486	400	7	infrared	infrared	ADJ
brj-24486	400	8	thin	thin	ADJ
brj-24486	400	9	-	-	PUNCT
brj-24486	400	10	layer	layer	NOUN
brj-24486	400	11	drying	drying	NOUN
brj-24486	400	12	of	of	ADP
brj-24486	400	13	garlic	garlic	ADJ
brj-24486	400	14	slices	slice	NOUN
brj-24486	400	15	,	,	PUNCT
brj-24486	400	16	”	"	PUNCT
brj-24486	400	17	saudi	saudi	ADJ
brj-24486	400	18	journal	journal	NOUN
brj-24486	400	19	of	of	ADP
brj-24486	400	20	biological	biological	ADJ
brj-24486	400	21	sciences	science	NOUN
brj-24486	400	22	25(2	25(2	NUM
brj-24486	400	23	)	)	PUNCT
brj-24486	400	24	,	,	PUNCT
brj-24486	400	25	332	332	NUM
brj-24486	400	26	-	-	SYM
brj-24486	400	27	338	338	NUM
brj-24486	400	28	.	.	PUNCT
brj-24486	400	29	https://doi.org/10.1016/j.sjbs.2017.06.011	https://doi.org/10.1016/j.sjbs.2017.06.011	NUM
brj-24486	400	30	zarea	zarea	PROPN
brj-24486	400	31	hosseinabadi	hosseinabadi	NOUN
brj-24486	400	32	,	,	PUNCT
brj-24486	400	33	h.	h.	PROPN
brj-24486	400	34	,	,	PUNCT
brj-24486	400	35	doosthoseini	doosthoseini	NOUN
brj-24486	400	36	,	,	PUNCT
brj-24486	400	37	k.	k.	PROPN
brj-24486	400	38	,	,	PUNCT
brj-24486	400	39	and	and	CCONJ
brj-24486	400	40	layeghi	layeghi	PROPN
brj-24486	400	41	,	,	PUNCT
brj-24486	400	42	m.	m.	NOUN
brj-24486	400	43	(	(	PUNCT
brj-24486	400	44	2012	2012	NUM
brj-24486	400	45	)	)	PUNCT
brj-24486	400	46	.	.	PUNCT
brj-24486	401	1	“	"	PUNCT
brj-24486	401	2	kinetika	kinetika	PROPN
brj-24486	401	3	konvektivnog	konvektivnog	PROPN
brj-24486	401	4	sušenja	sušenja	PROPN
brj-24486	401	5	tankog	tankog	PROPN
brj-24486	401	6	sloja	sloja	PROPN
brj-24486	401	7	iverja	iverja	PROPN
brj-24486	401	8	drva	drva	PROPN
brj-24486	401	9	topole	topole	PROPN
brj-24486	401	10	(	(	PUNCT
brj-24486	401	11	populus	populus	ADJ
brj-24486	401	12	deltoides	deltoide	NOUN
brj-24486	401	13	)	)	PUNCT
brj-24486	401	14	,	,	PUNCT
brj-24486	401	15	”	"	PUNCT
brj-24486	401	16	drvna	drvna	VERB
brj-24486	401	17	industrija	industrija	ADV
brj-24486	401	18	63(3	63(3	NUM
brj-24486	401	19	)	)	PUNCT
brj-24486	401	20	,	,	PUNCT
brj-24486	401	21	169	169	NUM
brj-24486	401	22	-	-	SYM
brj-24486	401	23	176	176	NUM
brj-24486	401	24	.	.	PUNCT
brj-24486	402	1	https://doi.org/10.5552/drind.2012.1201	https://doi.org/10.5552/drind.2012.1201	PROPN
brj-24486	402	2	zitting	zitting	NOUN
brj-24486	402	3	,	,	PUNCT
brj-24486	402	4	a.	a.	NOUN
brj-24486	402	5	,	,	PUNCT
brj-24486	402	6	paajanen	paajanen	PROPN
brj-24486	402	7	,	,	PUNCT
brj-24486	402	8	a.	a.	NOUN
brj-24486	402	9	,	,	PUNCT
brj-24486	402	10	rautkari	rautkari	ADJ
brj-24486	402	11	,	,	PUNCT
brj-24486	402	12	l.	l.	PROPN
brj-24486	402	13	,	,	PUNCT
brj-24486	402	14	and	and	CCONJ
brj-24486	402	15	penttilä	penttilä	NOUN
brj-24486	402	16	,	,	PUNCT
brj-24486	402	17	p.	p.	NOUN
brj-24486	402	18	a.	a.	NOUN
brj-24486	402	19	(	(	PUNCT
brj-24486	402	20	2021	2021	NUM
brj-24486	402	21	)	)	PUNCT
brj-24486	402	22	.	.	PUNCT
brj-24486	403	1	“	"	PUNCT
brj-24486	403	2	deswelling	deswelle	VERB
brj-24486	403	3	of	of	ADP
brj-24486	403	4	microfibril	microfibril	ADJ
brj-24486	403	5	bundles	bundle	NOUN
brj-24486	403	6	in	in	ADP
brj-24486	403	7	drying	dry	VERB
brj-24486	403	8	wood	wood	NOUN
brj-24486	403	9	studied	study	VERB
brj-24486	403	10	by	by	ADP
brj-24486	403	11	small	small	ADJ
brj-24486	403	12	-	-	PUNCT
brj-24486	403	13	angle	angle	NOUN
brj-24486	403	14	neutron	neutron	NOUN
brj-24486	403	15	scattering	scattering	NOUN
brj-24486	403	16	and	and	CCONJ
brj-24486	403	17	molecular	molecular	ADJ
brj-24486	403	18	dynamics	dynamic	NOUN
brj-24486	403	19	,	,	PUNCT
brj-24486	403	20	”	"	PUNCT
brj-24486	403	21	cellulose	cellulose	NOUN
brj-24486	403	22	28	28	NUM
brj-24486	403	23	,	,	PUNCT
brj-24486	403	24	10765	10765	NUM
brj-24486	403	25	-	-	SYM
brj-24486	403	26	10776	10776	NUM
brj-24486	403	27	.	.	PUNCT
brj-24486	404	1	https://doi.org/10.1007/s10570021-04204-y	https://doi.org/10.1007/s10570021-04204-y	NOUN
brj-24486	404	2	article	article	NOUN
brj-24486	404	3	submitted	submit	VERB
brj-24486	404	4	:	:	PUNCT
brj-24486	404	5	february	february	PROPN
brj-24486	404	6	13	13	NUM
brj-24486	404	7	,	,	PUNCT
brj-24486	404	8	2025	2025	NUM
brj-24486	404	9	;	;	PUNCT
brj-24486	404	10	peer	peer	NOUN
brj-24486	404	11	review	review	NOUN
brj-24486	404	12	completed	complete	VERB
brj-24486	404	13	:	:	PUNCT
brj-24486	404	14	april	april	PROPN
brj-24486	404	15	5	5	NUM
brj-24486	404	16	,	,	PUNCT
brj-24486	404	17	2025	2025	NUM
brj-24486	404	18	;	;	PUNCT
brj-24486	404	19	revised	revise	VERB
brj-24486	404	20	version	version	NOUN
brj-24486	404	21	received	receive	VERB
brj-24486	404	22	:	:	PUNCT
brj-24486	404	23	october	october	PROPN
brj-24486	404	24	13	13	NUM
brj-24486	404	25	,	,	PUNCT
brj-24486	404	26	2025	2025	NUM
brj-24486	404	27	;	;	PUNCT
brj-24486	404	28	further	far	ADV
brj-24486	404	29	revised	revise	VERB
brj-24486	404	30	version	version	NOUN
brj-24486	404	31	received	receive	VERB
brj-24486	404	32	and	and	CCONJ
brj-24486	404	33	accepted	accept	VERB
brj-24486	404	34	:	:	PUNCT
brj-24486	404	35	november	november	PROPN
brj-24486	404	36	15	15	NUM
brj-24486	404	37	,	,	PUNCT
brj-24486	404	38	2025	2025	NUM
brj-24486	404	39	;	;	PUNCT
brj-24486	404	40	published	publish	VERB
brj-24486	404	41	:	:	PUNCT
brj-24486	404	42	december	december	PROPN
brj-24486	404	43	3	3	NUM
brj-24486	404	44	,	,	PUNCT
brj-24486	404	45	2025	2025	NUM
brj-24486	404	46	.	.	PUNCT
brj-24486	405	1	doi	doi	NOUN
brj-24486	405	2	:	:	PUNCT
brj-24486	405	3	10.15376	10.15376	NUM
brj-24486	405	4	/	/	SYM
brj-24486	405	5	biores.21.1.654	biores.21.1.654	NOUN
brj-24486	405	6	-	-	SYM
brj-24486	405	7	672	672	NUM
brj-24486	405	8	https://doi.org/10.1007/s00107-007-0191-7	https://doi.org/10.1007/s00107-007-0191-7	NUM
brj-24486	405	9	https://doi.org/10.1007/s001070050029	https://doi.org/10.1007/s001070050029	PROPN
brj-24486	405	10	https://doi.org/10.1016/j.sjbs.2017.06.011	https://doi.org/10.1016/j.sjbs.2017.06.011	NOUN
brj-24486	405	11	https://doi.org/10.5552/drind.2012.1201	https://doi.org/10.5552/drind.2012.1201	PROPN
brj-24486	405	12	https://doi.org/10.1007/s10570-021-04204-y	https://doi.org/10.1007/s10570-021-04204-y	PROPN
brj-24486	405	13	https://doi.org/10.1007/s10570-021-04204-y	https://doi.org/10.1007/s10570-021-04204-y	PROPN