id	sid	tid	token	lemma	pos
brj-24822	1	1	peer	peer	NOUN
brj-24822	1	2	-	-	PUNCT
brj-24822	1	3	reviewed	review	VERB
brj-24822	1	4	article	article	NOUN
brj-24822	1	5	peer	peer	NOUN
brj-24822	1	6	-	-	PUNCT
brj-24822	1	7	reviewed	review	VERB
brj-24822	1	8	article	article	NOUN
brj-24822	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	1	10	kim	kim	PROPN
brj-24822	1	11	et	et	PROPN
brj-24822	1	12	al	al	PROPN
brj-24822	1	13	.	.	PROPN
brj-24822	2	1	(	(	PUNCT
brj-24822	2	2	2025	2025	NUM
brj-24822	2	3	)	)	PUNCT
brj-24822	2	4	.	.	PUNCT
brj-24822	3	1	“	"	PUNCT
brj-24822	3	2	steam	steam	NOUN
brj-24822	3	3	&	&	CCONJ
brj-24822	3	4	naoh	naoh	PROPN
brj-24822	3	5	pretreatments	pretreatment	NOUN
brj-24822	3	6	,	,	PUNCT
brj-24822	3	7	”	"	PUNCT
brj-24822	3	8	bioresources	bioresource	VERB
brj-24822	3	9	20(4	20(4	NOUN
brj-24822	3	10	)	)	PUNCT
brj-24822	3	11	,	,	PUNCT
brj-24822	3	12	8400	8400	NUM
brj-24822	3	13	-	-	SYM
brj-24822	3	14	8419	8419	NUM
brj-24822	3	15	.	.	PUNCT
brj-24822	4	1	8400	8400	NUM
brj-24822	4	2	artificial	artificial	ADJ
brj-24822	4	3	neural	neural	ADJ
brj-24822	4	4	network	network	NOUN
brj-24822	4	5	approach	approach	NOUN
brj-24822	4	6	for	for	ADP
brj-24822	4	7	predicting	predict	VERB
brj-24822	4	8	enzymatic	enzymatic	ADJ
brj-24822	4	9	hydrolysis	hydrolysis	NOUN
brj-24822	4	10	of	of	ADP
brj-24822	4	11	steam	steam	NOUN
brj-24822	4	12	exploded	explode	VERB
brj-24822	4	13	pine	pine	ADJ
brj-24822	4	14	wood	wood	NOUN
brj-24822	4	15	chip	chip	NOUN
brj-24822	4	16	in	in	ADP
brj-24822	4	17	mild	mild	ADJ
brj-24822	4	18	alkaline	alkaline	NOUN
brj-24822	4	19	pretreatment	pretreatment	NOUN
brj-24822	4	20	hyeon	hyeon	PROPN
brj-24822	4	21	cheol	cheol	PROPN
brj-24822	4	22	kim	kim	PROPN
brj-24822	4	23	,	,	PUNCT
brj-24822	4	24	si	si	PROPN
brj-24822	4	25	young	young	ADJ
brj-24822	4	26	ha	ha	INTJ
brj-24822	4	27	,	,	PUNCT
brj-24822	4	28	and	and	CCONJ
brj-24822	4	29	jae	jae	PROPN
brj-24822	4	30	-	-	PUNCT
brj-24822	4	31	kyung	kyung	PROPN
brj-24822	4	32	yang	yang	PROPN
brj-24822	4	33	,	,	PUNCT
brj-24822	4	34	*	*	PUNCT
brj-24822	4	35	lignocellulosic	lignocellulosic	ADJ
brj-24822	4	36	biomass	biomass	NOUN
brj-24822	4	37	,	,	PUNCT
brj-24822	4	38	particularly	particularly	ADV
brj-24822	4	39	softwoods	softwood	NOUN
brj-24822	4	40	such	such	ADJ
brj-24822	4	41	as	as	ADP
brj-24822	4	42	pine	pine	NOUN
brj-24822	4	43	,	,	PUNCT
brj-24822	4	44	poses	pose	VERB
brj-24822	4	45	a	a	DET
brj-24822	4	46	significant	significant	ADJ
brj-24822	4	47	challenge	challenge	NOUN
brj-24822	4	48	to	to	PART
brj-24822	4	49	enzymatic	enzymatic	VERB
brj-24822	4	50	hydrolysis	hydrolysis	NOUN
brj-24822	4	51	due	due	ADJ
brj-24822	4	52	to	to	ADP
brj-24822	4	53	its	its	PRON
brj-24822	4	54	high	high	ADJ
brj-24822	4	55	lignin	lignin	NOUN
brj-24822	4	56	content	content	NOUN
brj-24822	4	57	and	and	CCONJ
brj-24822	4	58	complex	complex	ADJ
brj-24822	4	59	structural	structural	ADJ
brj-24822	4	60	rigidity	rigidity	NOUN
brj-24822	4	61	.	.	PUNCT
brj-24822	5	1	although	although	SCONJ
brj-24822	5	2	the	the	DET
brj-24822	5	3	application	application	NOUN
brj-24822	5	4	of	of	ADP
brj-24822	5	5	steam	steam	NOUN
brj-24822	5	6	explosion	explosion	NOUN
brj-24822	5	7	and	and	CCONJ
brj-24822	5	8	alkaline	alkaline	NOUN
brj-24822	5	9	pretreatment	pretreatment	NOUN
brj-24822	5	10	has	have	AUX
brj-24822	5	11	gained	gain	VERB
brj-24822	5	12	widespread	widespread	ADJ
brj-24822	5	13	popularity	popularity	NOUN
brj-24822	5	14	for	for	ADP
brj-24822	5	15	enhancing	enhance	VERB
brj-24822	5	16	digestibility	digestibility	NOUN
brj-24822	5	17	,	,	PUNCT
brj-24822	5	18	the	the	DET
brj-24822	5	19	optimization	optimization	NOUN
brj-24822	5	20	of	of	ADP
brj-24822	5	21	process	process	NOUN
brj-24822	5	22	parameters	parameter	NOUN
brj-24822	5	23	remains	remain	VERB
brj-24822	5	24	a	a	DET
brj-24822	5	25	formidable	formidable	ADJ
brj-24822	5	26	challenge	challenge	NOUN
brj-24822	5	27	due	due	ADP
brj-24822	5	28	to	to	ADP
brj-24822	5	29	the	the	DET
brj-24822	5	30	nonlinear	nonlinear	ADJ
brj-24822	5	31	interactions	interaction	NOUN
brj-24822	5	32	among	among	ADP
brj-24822	5	33	variables	variable	NOUN
brj-24822	5	34	.	.	PUNCT
brj-24822	6	1	machine	machine	NOUN
brj-24822	6	2	learning	learning	NOUN
brj-24822	6	3	is	be	AUX
brj-24822	6	4	emerging	emerge	VERB
brj-24822	6	5	as	as	ADP
brj-24822	6	6	a	a	DET
brj-24822	6	7	promising	promising	ADJ
brj-24822	6	8	solution	solution	NOUN
brj-24822	6	9	to	to	PART
brj-24822	6	10	address	address	VERB
brj-24822	6	11	these	these	DET
brj-24822	6	12	challenges	challenge	NOUN
brj-24822	6	13	,	,	PUNCT
brj-24822	6	14	offering	offer	VERB
brj-24822	6	15	a	a	DET
brj-24822	6	16	viable	viable	ADJ
brj-24822	6	17	alternative	alternative	NOUN
brj-24822	6	18	for	for	ADP
brj-24822	6	19	predictive	predictive	ADJ
brj-24822	6	20	modeling	modeling	NOUN
brj-24822	6	21	and	and	CCONJ
brj-24822	6	22	process	process	NOUN
brj-24822	6	23	control	control	NOUN
brj-24822	6	24	.	.	PUNCT
brj-24822	7	1	in	in	ADP
brj-24822	7	2	this	this	DET
brj-24822	7	3	study	study	NOUN
brj-24822	7	4	,	,	PUNCT
brj-24822	7	5	an	an	DET
brj-24822	7	6	artificial	artificial	ADJ
brj-24822	7	7	neural	neural	ADJ
brj-24822	7	8	network	network	NOUN
brj-24822	7	9	(	(	PUNCT
brj-24822	7	10	ann	ann	PROPN
brj-24822	7	11	)	)	PUNCT
brj-24822	7	12	model	model	NOUN
brj-24822	7	13	was	be	AUX
brj-24822	7	14	developed	develop	VERB
brj-24822	7	15	to	to	PART
brj-24822	7	16	predict	predict	VERB
brj-24822	7	17	the	the	DET
brj-24822	7	18	enzymatic	enzymatic	ADJ
brj-24822	7	19	hydrolysis	hydrolysis	NOUN
brj-24822	7	20	rate	rate	NOUN
brj-24822	7	21	of	of	ADP
brj-24822	7	22	steam	steam	NOUN
brj-24822	7	23	-	-	PUNCT
brj-24822	7	24	exploded	explode	VERB
brj-24822	7	25	pine	pine	NOUN
brj-24822	7	26	wood	wood	NOUN
brj-24822	7	27	subjected	subject	VERB
brj-24822	7	28	to	to	ADP
brj-24822	7	29	mild	mild	ADJ
brj-24822	7	30	alkaline	alkaline	NOUN
brj-24822	7	31	(	(	PUNCT
brj-24822	7	32	naoh	naoh	NOUN
brj-24822	7	33	)	)	PUNCT
brj-24822	7	34	pretreatment	pretreatment	NOUN
brj-24822	7	35	.	.	PUNCT
brj-24822	8	1	the	the	DET
brj-24822	8	2	artificial	artificial	ADJ
brj-24822	8	3	neural	neural	ADJ
brj-24822	8	4	network	network	NOUN
brj-24822	8	5	(	(	PUNCT
brj-24822	8	6	ann	ann	PROPN
brj-24822	8	7	)	)	PUNCT
brj-24822	8	8	was	be	AUX
brj-24822	8	9	trained	train	VERB
brj-24822	8	10	on	on	ADP
brj-24822	8	11	experimental	experimental	ADJ
brj-24822	8	12	data	datum	NOUN
brj-24822	8	13	encompassing	encompass	VERB
brj-24822	8	14	three	three	NUM
brj-24822	8	15	primary	primary	ADJ
brj-24822	8	16	process	process	NOUN
brj-24822	8	17	variables	variable	NOUN
brj-24822	8	18	:	:	PUNCT
brj-24822	8	19	steam	steam	NOUN
brj-24822	8	20	explosion	explosion	NOUN
brj-24822	8	21	time	time	NOUN
brj-24822	8	22	(	(	PUNCT
brj-24822	8	23	1	1	NUM
brj-24822	8	24	to	to	PART
brj-24822	8	25	5	5	NUM
brj-24822	8	26	min	min	NOUN
brj-24822	8	27	)	)	PUNCT
brj-24822	8	28	,	,	PUNCT
brj-24822	8	29	naoh	naoh	NOUN
brj-24822	8	30	concentration	concentration	NOUN
brj-24822	8	31	(	(	PUNCT
brj-24822	8	32	0.5	0.5	NUM
brj-24822	8	33	to	to	PART
brj-24822	8	34	2.0	2.0	NUM
brj-24822	8	35	%	%	NOUN
brj-24822	8	36	)	)	PUNCT
brj-24822	8	37	,	,	PUNCT
brj-24822	8	38	and	and	CCONJ
brj-24822	8	39	chemical	chemical	NOUN
brj-24822	8	40	pretreatment	pretreatment	NOUN
brj-24822	8	41	time	time	NOUN
brj-24822	8	42	(	(	PUNCT
brj-24822	8	43	12	12	NUM
brj-24822	8	44	to	to	PART
brj-24822	8	45	24	24	NUM
brj-24822	8	46	h	h	NOUN
brj-24822	8	47	)	)	PUNCT
brj-24822	8	48	.	.	PUNCT
brj-24822	9	1	the	the	DET
brj-24822	9	2	artificial	artificial	ADJ
brj-24822	9	3	neural	neural	ADJ
brj-24822	9	4	network	network	NOUN
brj-24822	9	5	(	(	PUNCT
brj-24822	9	6	ann	ann	PROPN
brj-24822	9	7	)	)	PUNCT
brj-24822	9	8	model	model	NOUN
brj-24822	9	9	demonstrated	demonstrate	VERB
brj-24822	9	10	the	the	DET
brj-24822	9	11	highest	high	ADJ
brj-24822	9	12	level	level	NOUN
brj-24822	9	13	of	of	ADP
brj-24822	9	14	accuracy	accuracy	NOUN
brj-24822	9	15	among	among	ADP
brj-24822	9	16	the	the	DET
brj-24822	9	17	models	model	NOUN
brj-24822	9	18	evaluated	evaluate	VERB
brj-24822	9	19	,	,	PUNCT
brj-24822	9	20	including	include	VERB
brj-24822	9	21	random	random	ADJ
brj-24822	9	22	forest	forest	NOUN
brj-24822	9	23	,	,	PUNCT
brj-24822	9	24	support	support	VERB
brj-24822	9	25	vector	vector	NOUN
brj-24822	9	26	machine	machine	NOUN
brj-24822	9	27	,	,	PUNCT
brj-24822	9	28	and	and	CCONJ
brj-24822	9	29	extreme	extreme	ADJ
brj-24822	9	30	gradient	gradient	NOUN
brj-24822	9	31	boosting	boosting	NOUN
brj-24822	9	32	.	.	PUNCT
brj-24822	10	1	it	it	PRON
brj-24822	10	2	attained	attain	VERB
brj-24822	10	3	a	a	DET
brj-24822	10	4	coefficient	coefficient	NOUN
brj-24822	10	5	of	of	ADP
brj-24822	10	6	determination	determination	NOUN
brj-24822	10	7	(	(	PUNCT
brj-24822	10	8	r²	r²	NOUN
brj-24822	10	9	)	)	PUNCT
brj-24822	10	10	of	of	ADP
brj-24822	10	11	0.9805	0.9805	NUM
brj-24822	10	12	.	.	PUNCT
brj-24822	11	1	in	in	ADP
brj-24822	11	2	conditions	condition	NOUN
brj-24822	11	3	that	that	PRON
brj-24822	11	4	were	be	AUX
brj-24822	11	5	not	not	PART
brj-24822	11	6	optimized	optimize	VERB
brj-24822	11	7	(	(	PUNCT
brj-24822	11	8	1	1	NUM
brj-24822	11	9	%	%	NOUN
brj-24822	11	10	naoh	naoh	NOUN
brj-24822	11	11	,	,	PUNCT
brj-24822	11	12	24	24	NUM
brj-24822	11	13	-	-	PUNCT
brj-24822	11	14	hour	hour	NOUN
brj-24822	11	15	treatment	treatment	NOUN
brj-24822	11	16	,	,	PUNCT
brj-24822	11	17	5	5	NUM
brj-24822	11	18	min	min	NOUN
brj-24822	11	19	steam	steam	NOUN
brj-24822	11	20	explosion	explosion	NOUN
brj-24822	11	21	,	,	PUNCT
brj-24822	11	22	without	without	ADP
brj-24822	11	23	bark	bark	NOUN
brj-24822	11	24	)	)	PUNCT
brj-24822	11	25	,	,	PUNCT
brj-24822	11	26	a	a	DET
brj-24822	11	27	maximum	maximum	ADJ
brj-24822	11	28	hydrolysis	hydrolysis	NOUN
brj-24822	11	29	of	of	ADP
brj-24822	11	30	93.9	93.9	NUM
brj-24822	11	31	%	%	NOUN
brj-24822	11	32	was	be	AUX
brj-24822	11	33	obtained	obtain	VERB
brj-24822	11	34	.	.	PUNCT
brj-24822	12	1	doi	doi	NOUN
brj-24822	12	2	:	:	PUNCT
brj-24822	12	3	10.15376	10.15376	NUM
brj-24822	12	4	/	/	SYM
brj-24822	12	5	biores.20.4.8400	biores.20.4.8400	NOUN
brj-24822	12	6	-	-	PUNCT
brj-24822	12	7	8419	8419	NUM
brj-24822	12	8	keywords	keyword	NOUN
brj-24822	12	9	:	:	PUNCT
brj-24822	12	10	artificial	artificial	ADJ
brj-24822	12	11	neural	neural	ADJ
brj-24822	12	12	network	network	NOUN
brj-24822	12	13	;	;	PUNCT
brj-24822	12	14	alkaline	alkaline	NOUN
brj-24822	12	15	pretreatment	pretreatment	NOUN
brj-24822	12	16	;	;	PUNCT
brj-24822	12	17	enzymatic	enzymatic	ADJ
brj-24822	12	18	hydrolysis	hydrolysis	NOUN
brj-24822	12	19	;	;	PUNCT
brj-24822	12	20	pine	pine	ADJ
brj-24822	12	21	wood	wood	NOUN
brj-24822	12	22	;	;	PUNCT
brj-24822	12	23	steam	steam	NOUN
brj-24822	12	24	explosion	explosion	NOUN
brj-24822	12	25	contact	contact	NOUN
brj-24822	12	26	information	information	NOUN
brj-24822	12	27	:	:	PUNCT
brj-24822	12	28	department	department	NOUN
brj-24822	12	29	of	of	ADP
brj-24822	12	30	environmental	environmental	ADJ
brj-24822	12	31	materials	material	NOUN
brj-24822	12	32	science	science	NOUN
brj-24822	12	33	/	/	SYM
brj-24822	12	34	institute	institute	PROPN
brj-24822	12	35	of	of	ADP
brj-24822	12	36	agriculture	agriculture	PROPN
brj-24822	12	37	and	and	CCONJ
brj-24822	12	38	life	life	NOUN
brj-24822	12	39	science	science	NOUN
brj-24822	12	40	,	,	PUNCT
brj-24822	12	41	gyeongsang	gyeongsang	PROPN
brj-24822	12	42	national	national	PROPN
brj-24822	12	43	university	university	PROPN
brj-24822	12	44	,	,	PUNCT
brj-24822	12	45	jinju	jinju	NOUN
brj-24822	12	46	,	,	PUNCT
brj-24822	12	47	52828	52828	NUM
brj-24822	12	48	,	,	PUNCT
brj-24822	12	49	republic	republic	NOUN
brj-24822	12	50	of	of	ADP
brj-24822	12	51	korea	korea	PROPN
brj-24822	12	52	;	;	PUNCT
brj-24822	12	53	*	*	PUNCT
brj-24822	12	54	corresponding	correspond	VERB
brj-24822	12	55	author	author	NOUN
brj-24822	12	56	:	:	PUNCT
brj-24822	12	57	jkyang@gnu.ac.kr	jkyang@gnu.ac.kr	X
brj-24822	12	58	introduction	introduction	NOUN
brj-24822	12	59	wood	wood	NOUN
brj-24822	12	60	cellulosic	cellulosic	NOUN
brj-24822	12	61	biomass	biomass	NOUN
brj-24822	12	62	feedstock	feedstock	NOUN
brj-24822	12	63	is	be	AUX
brj-24822	12	64	a	a	DET
brj-24822	12	65	low	low	ADJ
brj-24822	12	66	-	-	PUNCT
brj-24822	12	67	cost	cost	NOUN
brj-24822	12	68	,	,	PUNCT
brj-24822	12	69	energy	energy	NOUN
brj-24822	12	70	-	-	PUNCT
brj-24822	12	71	dense	dense	ADJ
brj-24822	12	72	,	,	PUNCT
brj-24822	12	73	and	and	CCONJ
brj-24822	12	74	globally	globally	ADV
brj-24822	12	75	abundant	abundant	ADJ
brj-24822	12	76	renewable	renewable	ADJ
brj-24822	12	77	resource	resource	NOUN
brj-24822	12	78	(	(	PUNCT
brj-24822	12	79	kumar	kumar	PROPN
brj-24822	12	80	et	et	PROPN
brj-24822	12	81	al	al	PROPN
brj-24822	12	82	.	.	PROPN
brj-24822	12	83	2020	2020	NUM
brj-24822	12	84	)	)	PUNCT
brj-24822	12	85	historically	historically	ADV
brj-24822	12	86	,	,	PUNCT
brj-24822	12	87	it	it	PRON
brj-24822	12	88	has	have	AUX
brj-24822	12	89	been	be	AUX
brj-24822	12	90	utilized	utilize	VERB
brj-24822	12	91	as	as	ADP
brj-24822	12	92	an	an	DET
brj-24822	12	93	energy	energy	NOUN
brj-24822	12	94	source	source	NOUN
brj-24822	12	95	;	;	PUNCT
brj-24822	12	96	however	however	ADV
brj-24822	12	97	,	,	PUNCT
brj-24822	12	98	the	the	DET
brj-24822	12	99	increasing	increase	VERB
brj-24822	12	100	dependence	dependence	NOUN
brj-24822	12	101	on	on	ADP
brj-24822	12	102	fossil	fossil	ADJ
brj-24822	12	103	fuels	fuel	NOUN
brj-24822	12	104	in	in	ADP
brj-24822	12	105	recent	recent	ADJ
brj-24822	12	106	decades	decade	NOUN
brj-24822	12	107	has	have	AUX
brj-24822	12	108	led	lead	VERB
brj-24822	12	109	to	to	ADP
brj-24822	12	110	a	a	DET
brj-24822	12	111	decline	decline	NOUN
brj-24822	12	112	in	in	ADP
brj-24822	12	113	its	its	PRON
brj-24822	12	114	usage	usage	NOUN
brj-24822	12	115	in	in	ADP
brj-24822	12	116	this	this	DET
brj-24822	12	117	capacity	capacity	NOUN
brj-24822	12	118	.	.	PUNCT
brj-24822	13	1	however	however	ADV
brj-24822	13	2	,	,	PUNCT
brj-24822	13	3	this	this	DET
brj-24822	13	4	transition	transition	NOUN
brj-24822	13	5	has	have	AUX
brj-24822	13	6	given	give	VERB
brj-24822	13	7	rise	rise	NOUN
brj-24822	13	8	to	to	ADP
brj-24822	13	9	a	a	DET
brj-24822	13	10	renewed	renew	VERB
brj-24822	13	11	interest	interest	NOUN
brj-24822	13	12	in	in	ADP
brj-24822	13	13	its	its	PRON
brj-24822	13	14	application	application	NOUN
brj-24822	13	15	for	for	ADP
brj-24822	13	16	synthesizing	synthesize	VERB
brj-24822	13	17	high	high	ADJ
brj-24822	13	18	value	value	NOUN
brj-24822	13	19	biochemicals	biochemical	NOUN
brj-24822	13	20	such	such	ADJ
brj-24822	13	21	as	as	ADP
brj-24822	13	22	phenylpropanoids	phenylpropanoid	NOUN
brj-24822	13	23	(	(	PUNCT
brj-24822	13	24	kawaguchi	kawaguchi	PROPN
brj-24822	13	25	et	et	PROPN
brj-24822	13	26	al	al	PROPN
brj-24822	13	27	.	.	PROPN
brj-24822	13	28	2016	2016	NUM
brj-24822	13	29	)	)	PUNCT
brj-24822	13	30	.	.	PUNCT
brj-24822	14	1	this	this	DET
brj-24822	14	2	focus	focus	NOUN
brj-24822	14	3	has	have	AUX
brj-24822	14	4	opened	open	VERB
brj-24822	14	5	new	new	ADJ
brj-24822	14	6	pathways	pathway	NOUN
brj-24822	14	7	for	for	ADP
brj-24822	14	8	sustainable	sustainable	ADJ
brj-24822	14	9	biochemical	biochemical	ADJ
brj-24822	14	10	production	production	NOUN
brj-24822	14	11	.	.	PUNCT
brj-24822	15	1	the	the	DET
brj-24822	15	2	primary	primary	ADJ
brj-24822	15	3	components	component	NOUN
brj-24822	15	4	of	of	ADP
brj-24822	15	5	wood	wood	NOUN
brj-24822	15	6	biomass	biomass	NOUN
brj-24822	15	7	–	–	PUNCT
brj-24822	15	8	cellulose	cellulose	NOUN
brj-24822	15	9	,	,	PUNCT
brj-24822	15	10	hemicellulose	hemicellulose	NOUN
brj-24822	15	11	,	,	PUNCT
brj-24822	15	12	and	and	CCONJ
brj-24822	15	13	lignin	lignin	NOUN
brj-24822	15	14	–	–	PUNCT
brj-24822	15	15	contain	contain	VERB
brj-24822	15	16	fermentable	fermentable	ADJ
brj-24822	15	17	sugars	sugar	NOUN
brj-24822	15	18	(	(	PUNCT
brj-24822	15	19	hexoses	hexose	NOUN
brj-24822	15	20	,	,	PUNCT
brj-24822	15	21	pentoses	pentose	NOUN
brj-24822	15	22	,	,	PUNCT
brj-24822	15	23	etc	etc	X
brj-24822	15	24	.	.	X
brj-24822	15	25	)	)	PUNCT
brj-24822	15	26	that	that	PRON
brj-24822	15	27	can	can	AUX
brj-24822	15	28	be	be	AUX
brj-24822	15	29	converted	convert	VERB
brj-24822	15	30	into	into	ADP
brj-24822	15	31	bioproducts	bioproduct	NOUN
brj-24822	15	32	through	through	ADP
brj-24822	15	33	biochemical	biochemical	ADJ
brj-24822	15	34	processes	process	NOUN
brj-24822	15	35	.	.	PUNCT
brj-24822	16	1	woody	woody	NOUN
brj-24822	16	2	biomass	biomass	NOUN
brj-24822	16	3	consists	consist	VERB
brj-24822	16	4	of	of	ADP
brj-24822	16	5	38	38	NUM
brj-24822	16	6	to	to	PART
brj-24822	16	7	50	50	NUM
brj-24822	16	8	%	%	NOUN
brj-24822	16	9	cellulose	cellulose	NOUN
brj-24822	16	10	,	,	PUNCT
brj-24822	16	11	23	23	NUM
brj-24822	16	12	to	to	PART
brj-24822	16	13	32	32	NUM
brj-24822	16	14	%	%	NOUN
brj-24822	16	15	hemicellulose	hemicellulose	NOUN
brj-24822	16	16	,	,	PUNCT
brj-24822	16	17	and	and	CCONJ
brj-24822	16	18	15to	15to	ADJ
brj-24822	16	19	25	25	NUM
brj-24822	16	20	%	%	NOUN
brj-24822	16	21	lignin	lignin	NOUN
brj-24822	16	22	,	,	PUNCT
brj-24822	16	23	although	although	SCONJ
brj-24822	16	24	these	these	DET
brj-24822	16	25	ratios	ratio	NOUN
brj-24822	16	26	vary	vary	VERB
brj-24822	16	27	according	accord	VERB
brj-24822	16	28	to	to	ADP
brj-24822	16	29	source	source	NOUN
brj-24822	16	30	(	(	PUNCT
brj-24822	16	31	vu	vu	X
brj-24822	16	32	et	et	PROPN
brj-24822	16	33	al	al	PROPN
brj-24822	16	34	.	.	PROPN
brj-24822	16	35	2020	2020	NUM
brj-24822	16	36	)	)	PUNCT
brj-24822	16	37	.	.	PUNCT
brj-24822	17	1	enzymatic	enzymatic	ADJ
brj-24822	17	2	hydrolysis	hydrolysis	NOUN
brj-24822	17	3	using	use	VERB
brj-24822	17	4	cellulases	cellulase	NOUN
brj-24822	17	5	has	have	AUX
brj-24822	17	6	proven	prove	VERB
brj-24822	17	7	effective	effective	ADJ
brj-24822	17	8	for	for	ADP
brj-24822	17	9	depolymerizing	depolymerizing	NOUN
brj-24822	17	10	cellulose	cellulose	NOUN
brj-24822	17	11	into	into	ADP
brj-24822	17	12	glucose	glucose	NOUN
brj-24822	17	13	,	,	PUNCT
brj-24822	17	14	a	a	DET
brj-24822	17	15	crucial	crucial	ADJ
brj-24822	17	16	intermediate	intermediate	NOUN
brj-24822	17	17	for	for	ADP
brj-24822	17	18	the	the	DET
brj-24822	17	19	synthesis	synthesis	NOUN
brj-24822	17	20	of	of	ADP
brj-24822	17	21	value	value	NOUN
brj-24822	17	22	-	-	PUNCT
brj-24822	17	23	added	add	VERB
brj-24822	17	24	chemicals	chemical	NOUN
brj-24822	17	25	such	such	ADJ
brj-24822	17	26	as	as	ADP
brj-24822	17	27	gluconic	gluconic	ADJ
brj-24822	17	28	acid	acid	NOUN
brj-24822	17	29	,	,	PUNCT
brj-24822	17	30	glucaric	glucaric	ADJ
brj-24822	17	31	acid	acid	NOUN
brj-24822	17	32	,	,	PUNCT
brj-24822	17	33	and	and	CCONJ
brj-24822	17	34	levulinic	levulinic	PROPN
brj-24822	17	35	acid	acid	NOUN
brj-24822	17	36	(	(	PUNCT
brj-24822	17	37	zhang	zhang	PROPN
brj-24822	17	38	et	et	PROPN
brj-24822	17	39	al	al	PROPN
brj-24822	17	40	.	.	PROPN
brj-24822	17	41	2021	2021	NUM
brj-24822	17	42	)	)	PUNCT
brj-24822	17	43	.	.	PUNCT
brj-24822	18	1	https://orcid.org/0000-0003-0997-6926	https://orcid.org/0000-0003-0997-6926	PROPN
brj-24822	19	1	https://orcid.org/0000-0002-2832-5830	https://orcid.org/0000-0002-2832-5830	PROPN
brj-24822	19	2	https://orcid.org/0000-0002-9482-1584	https://orcid.org/0000-0002-9482-1584	PROPN
brj-24822	19	3	peer	peer	NOUN
brj-24822	19	4	-	-	PUNCT
brj-24822	19	5	reviewed	review	VERB
brj-24822	19	6	article	article	NOUN
brj-24822	19	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	19	8	kim	kim	PROPN
brj-24822	19	9	et	et	PROPN
brj-24822	19	10	al	al	PROPN
brj-24822	19	11	.	.	PROPN
brj-24822	20	1	(	(	PUNCT
brj-24822	20	2	2025	2025	NUM
brj-24822	20	3	)	)	PUNCT
brj-24822	20	4	.	.	PUNCT
brj-24822	21	1	“	"	PUNCT
brj-24822	21	2	steam	steam	NOUN
brj-24822	21	3	&	&	CCONJ
brj-24822	21	4	naoh	naoh	PROPN
brj-24822	21	5	pretreatments	pretreatment	NOUN
brj-24822	21	6	,	,	PUNCT
brj-24822	21	7	”	"	PUNCT
brj-24822	21	8	bioresources	bioresource	VERB
brj-24822	21	9	20(4	20(4	NOUN
brj-24822	21	10	)	)	PUNCT
brj-24822	21	11	,	,	PUNCT
brj-24822	21	12	8400	8400	NUM
brj-24822	21	13	-	-	SYM
brj-24822	21	14	8419	8419	NUM
brj-24822	21	15	.	.	PUNCT
brj-24822	22	1	8401	8401	NUM
brj-24822	22	2	the	the	DET
brj-24822	22	3	crystalline	crystalline	ADJ
brj-24822	22	4	structure	structure	NOUN
brj-24822	22	5	of	of	ADP
brj-24822	22	6	cellulose	cellulose	NOUN
brj-24822	22	7	,	,	PUNCT
brj-24822	22	8	held	hold	VERB
brj-24822	22	9	together	together	ADV
brj-24822	22	10	by	by	ADP
brj-24822	22	11	β-1,4	β-1,4	ADV
brj-24822	22	12	glycosidic	glycosidic	ADJ
brj-24822	22	13	bonds	bond	NOUN
brj-24822	22	14	and	and	CCONJ
brj-24822	22	15	extensive	extensive	ADJ
brj-24822	22	16	hydrogen	hydrogen	NOUN
brj-24822	22	17	bonding	bonding	NOUN
brj-24822	22	18	,	,	PUNCT
brj-24822	22	19	poses	pose	VERB
brj-24822	22	20	a	a	DET
brj-24822	22	21	significant	significant	ADJ
brj-24822	22	22	barrier	barrier	NOUN
brj-24822	22	23	to	to	ADP
brj-24822	22	24	enzymatic	enzymatic	ADJ
brj-24822	22	25	degradation	degradation	NOUN
brj-24822	22	26	(	(	PUNCT
brj-24822	22	27	ding	ding	NOUN
brj-24822	22	28	and	and	CCONJ
brj-24822	22	29	himmel	himmel	NOUN
brj-24822	22	30	2006	2006	NUM
brj-24822	22	31	)	)	PUNCT
brj-24822	22	32	.	.	PUNCT
brj-24822	23	1	nevertheless	nevertheless	ADV
brj-24822	23	2	,	,	PUNCT
brj-24822	23	3	the	the	DET
brj-24822	23	4	recalcitrance	recalcitrance	NOUN
brj-24822	23	5	of	of	ADP
brj-24822	23	6	lignocellulosic	lignocellulosic	ADJ
brj-24822	23	7	biomass	biomass	NOUN
brj-24822	23	8	remains	remain	VERB
brj-24822	23	9	a	a	DET
brj-24822	23	10	significant	significant	ADJ
brj-24822	23	11	challenge	challenge	NOUN
brj-24822	23	12	.	.	PUNCT
brj-24822	24	1	the	the	DET
brj-24822	24	2	structural	structural	ADJ
brj-24822	24	3	rigidity	rigidity	NOUN
brj-24822	24	4	of	of	ADP
brj-24822	24	5	the	the	DET
brj-24822	24	6	material	material	NOUN
brj-24822	24	7	,	,	PUNCT
brj-24822	24	8	attributable	attributable	ADJ
brj-24822	24	9	to	to	ADP
brj-24822	24	10	the	the	DET
brj-24822	24	11	presence	presence	NOUN
brj-24822	24	12	of	of	ADP
brj-24822	24	13	hydrophobic	hydrophobic	NOUN
brj-24822	24	14	,	,	PUNCT
brj-24822	24	15	cross	cross	ADJ
brj-24822	24	16	-	-	ADJ
brj-24822	24	17	linked	link	VERB
brj-24822	24	18	lignin	lignin	NOUN
brj-24822	24	19	,	,	PUNCT
brj-24822	24	20	has	have	AUX
brj-24822	24	21	been	be	AUX
brj-24822	24	22	demonstrated	demonstrate	VERB
brj-24822	24	23	to	to	PART
brj-24822	24	24	impede	impede	VERB
brj-24822	24	25	enzyme	enzyme	NOUN
brj-24822	24	26	accessibility	accessibility	NOUN
brj-24822	24	27	and	and	CCONJ
brj-24822	24	28	to	to	PART
brj-24822	24	29	reduce	reduce	VERB
brj-24822	24	30	saccharification	saccharification	NOUN
brj-24822	24	31	efficiency	efficiency	NOUN
brj-24822	24	32	(	(	PUNCT
brj-24822	24	33	cai	cai	X
brj-24822	24	34	et	et	PROPN
brj-24822	24	35	al	al	PROPN
brj-24822	24	36	.	.	PROPN
brj-24822	24	37	2023	2023	NUM
brj-24822	24	38	)	)	PUNCT
brj-24822	24	39	.	.	PUNCT
brj-24822	25	1	this	this	DET
brj-24822	25	2	problem	problem	NOUN
brj-24822	25	3	is	be	AUX
brj-24822	25	4	especially	especially	ADV
brj-24822	25	5	evident	evident	ADJ
brj-24822	25	6	in	in	ADP
brj-24822	25	7	softwoods	softwood	NOUN
brj-24822	25	8	such	such	ADJ
brj-24822	25	9	as	as	ADP
brj-24822	25	10	pine	pine	NOUN
brj-24822	25	11	,	,	PUNCT
brj-24822	25	12	which	which	PRON
brj-24822	25	13	have	have	VERB
brj-24822	25	14	a	a	DET
brj-24822	25	15	higher	high	ADJ
brj-24822	25	16	lignin	lignin	NOUN
brj-24822	25	17	content	content	NOUN
brj-24822	25	18	and	and	CCONJ
brj-24822	25	19	more	more	ADJ
brj-24822	25	20	complex	complex	ADJ
brj-24822	25	21	structures	structure	NOUN
brj-24822	25	22	in	in	ADP
brj-24822	25	23	comparison	comparison	NOUN
brj-24822	25	24	to	to	ADP
brj-24822	25	25	hardwoods	hardwood	NOUN
brj-24822	25	26	such	such	ADJ
brj-24822	25	27	as	as	ADP
brj-24822	25	28	oak	oak	NOUN
brj-24822	25	29	(	(	PUNCT
brj-24822	25	30	kumar	kumar	PROPN
brj-24822	25	31	et	et	PROPN
brj-24822	25	32	al	al	PROPN
brj-24822	25	33	.	.	PROPN
brj-24822	25	34	2020	2020	NUM
brj-24822	25	35	)	)	PUNCT
brj-24822	25	36	.	.	PUNCT
brj-24822	26	1	the	the	DET
brj-24822	26	2	utilization	utilization	NOUN
brj-24822	26	3	of	of	ADP
brj-24822	26	4	pretreatment	pretreatment	NOUN
brj-24822	26	5	strategies	strategy	NOUN
brj-24822	26	6	is	be	AUX
brj-24822	26	7	imperative	imperative	ADJ
brj-24822	26	8	in	in	ADP
brj-24822	26	9	order	order	NOUN
brj-24822	26	10	to	to	PART
brj-24822	26	11	enhance	enhance	VERB
brj-24822	26	12	the	the	DET
brj-24822	26	13	enzymatic	enzymatic	ADJ
brj-24822	26	14	digestibility	digestibility	NOUN
brj-24822	26	15	of	of	ADP
brj-24822	26	16	the	the	DET
brj-24822	26	17	lignocellulosic	lignocellulosic	ADJ
brj-24822	26	18	matrix	matrix	NOUN
brj-24822	26	19	through	through	ADP
brj-24822	26	20	its	its	PRON
brj-24822	26	21	fragmentation	fragmentation	NOUN
brj-24822	26	22	or	or	CCONJ
brj-24822	26	23	modification	modification	NOUN
brj-24822	26	24	.	.	PUNCT
brj-24822	27	1	among	among	ADP
brj-24822	27	2	pretreatment	pretreatment	NOUN
brj-24822	27	3	techniques	technique	NOUN
brj-24822	27	4	,	,	PUNCT
brj-24822	27	5	steam	steam	NOUN
brj-24822	27	6	explosion	explosion	NOUN
brj-24822	27	7	is	be	AUX
brj-24822	27	8	a	a	DET
brj-24822	27	9	widely	widely	ADV
brj-24822	27	10	employed	employ	VERB
brj-24822	27	11	method	method	NOUN
brj-24822	27	12	due	due	ADP
brj-24822	27	13	to	to	ADP
brj-24822	27	14	its	its	PRON
brj-24822	27	15	ability	ability	NOUN
brj-24822	27	16	to	to	PART
brj-24822	27	17	disrupt	disrupt	VERB
brj-24822	27	18	the	the	DET
brj-24822	27	19	lignocellulosic	lignocellulosic	ADJ
brj-24822	27	20	structure	structure	NOUN
brj-24822	27	21	via	via	ADP
brj-24822	27	22	high	high	ADJ
brj-24822	27	23	-	-	PUNCT
brj-24822	27	24	pressure	pressure	NOUN
brj-24822	27	25	,	,	PUNCT
brj-24822	27	26	high	high	ADJ
brj-24822	27	27	-	-	PUNCT
brj-24822	27	28	temperature	temperature	NOUN
brj-24822	27	29	steam	steam	NOUN
brj-24822	27	30	,	,	PUNCT
brj-24822	27	31	followed	follow	VERB
brj-24822	27	32	by	by	ADP
brj-24822	27	33	sudden	sudden	ADJ
brj-24822	27	34	decompression	decompression	NOUN
brj-24822	27	35	(	(	PUNCT
brj-24822	27	36	yu	yu	PROPN
brj-24822	27	37	et	et	PROPN
brj-24822	27	38	al	al	PROPN
brj-24822	27	39	.	.	PROPN
brj-24822	27	40	2012	2012	NUM
brj-24822	27	41	)	)	PUNCT
brj-24822	27	42	.	.	PUNCT
brj-24822	28	1	this	this	DET
brj-24822	28	2	physicochemical	physicochemical	ADJ
brj-24822	28	3	process	process	NOUN
brj-24822	28	4	has	have	AUX
brj-24822	28	5	been	be	AUX
brj-24822	28	6	shown	show	VERB
brj-24822	28	7	to	to	PART
brj-24822	28	8	increase	increase	VERB
brj-24822	28	9	biomass	biomass	NOUN
brj-24822	28	10	porosity	porosity	NOUN
brj-24822	28	11	and	and	CCONJ
brj-24822	28	12	facilitate	facilitate	NOUN
brj-24822	28	13	autohydrolysis	autohydrolysis	NOUN
brj-24822	28	14	of	of	ADP
brj-24822	28	15	hemicellulose	hemicellulose	NOUN
brj-24822	28	16	and	and	CCONJ
brj-24822	28	17	partial	partial	ADJ
brj-24822	28	18	delignification	delignification	NOUN
brj-24822	28	19	(	(	PUNCT
brj-24822	28	20	zabed	zabe	VERB
brj-24822	28	21	et	et	PROPN
brj-24822	28	22	al	al	PROPN
brj-24822	28	23	.	.	PROPN
brj-24822	28	24	2019	2019	NUM
brj-24822	28	25	)	)	PUNCT
brj-24822	28	26	.	.	PUNCT
brj-24822	29	1	however	however	ADV
brj-24822	29	2	,	,	PUNCT
brj-24822	29	3	it	it	PRON
brj-24822	29	4	has	have	AUX
brj-24822	29	5	been	be	AUX
brj-24822	29	6	demonstrated	demonstrate	VERB
brj-24822	29	7	that	that	SCONJ
brj-24822	29	8	this	this	DET
brj-24822	29	9	process	process	NOUN
brj-24822	29	10	can	can	AUX
brj-24822	29	11	also	also	ADV
brj-24822	29	12	result	result	VERB
brj-24822	29	13	in	in	ADP
brj-24822	29	14	the	the	DET
brj-24822	29	15	formation	formation	NOUN
brj-24822	29	16	of	of	ADP
brj-24822	29	17	fermentation	fermentation	NOUN
brj-24822	29	18	inhibitors	inhibitor	NOUN
brj-24822	29	19	,	,	PUNCT
brj-24822	29	20	such	such	ADJ
brj-24822	29	21	as	as	ADP
brj-24822	29	22	furfural	furfural	ADJ
brj-24822	29	23	and	and	CCONJ
brj-24822	29	24	5	5	NUM
brj-24822	29	25	-	-	PUNCT
brj-24822	29	26	hydroxymethylfurfural	hydroxymethylfurfural	ADJ
brj-24822	29	27	,	,	PUNCT
brj-24822	29	28	especially	especially	ADV
brj-24822	29	29	under	under	ADP
brj-24822	29	30	more	more	ADV
brj-24822	29	31	severe	severe	ADJ
brj-24822	29	32	conditions	condition	NOUN
brj-24822	29	33	.	.	PUNCT
brj-24822	30	1	to	to	PART
brj-24822	30	2	mitigate	mitigate	VERB
brj-24822	30	3	the	the	DET
brj-24822	30	4	effects	effect	NOUN
brj-24822	30	5	of	of	ADP
brj-24822	30	6	these	these	DET
brj-24822	30	7	processes	process	NOUN
brj-24822	30	8	,	,	PUNCT
brj-24822	30	9	the	the	DET
brj-24822	30	10	combination	combination	NOUN
brj-24822	30	11	of	of	ADP
brj-24822	30	12	steam	steam	NOUN
brj-24822	30	13	explosion	explosion	NOUN
brj-24822	30	14	with	with	ADP
brj-24822	30	15	chemical	chemical	ADJ
brj-24822	30	16	pretreatments	pretreatment	NOUN
brj-24822	30	17	is	be	AUX
brj-24822	30	18	frequently	frequently	ADV
brj-24822	30	19	employed	employ	VERB
brj-24822	30	20	(	(	PUNCT
brj-24822	30	21	nges	nge	NOUN
brj-24822	30	22	et	et	PROPN
brj-24822	30	23	al	al	PROPN
brj-24822	30	24	.	.	PROPN
brj-24822	30	25	2016	2016	NUM
brj-24822	30	26	)	)	PUNCT
brj-24822	30	27	.	.	PUNCT
brj-24822	31	1	alkaline	alkaline	NOUN
brj-24822	31	2	pretreatment	pretreatment	NOUN
brj-24822	31	3	,	,	PUNCT
brj-24822	31	4	particularly	particularly	ADV
brj-24822	31	5	using	use	VERB
brj-24822	31	6	sodium	sodium	NOUN
brj-24822	31	7	hydroxide	hydroxide	NOUN
brj-24822	31	8	(	(	PUNCT
brj-24822	31	9	naoh	naoh	PROPN
brj-24822	31	10	)	)	PUNCT
brj-24822	31	11	,	,	PUNCT
brj-24822	31	12	is	be	AUX
brj-24822	31	13	a	a	DET
brj-24822	31	14	commonly	commonly	ADV
brj-24822	31	15	used	use	VERB
brj-24822	31	16	method	method	NOUN
brj-24822	31	17	to	to	PART
brj-24822	31	18	solubilize	solubilize	VERB
brj-24822	31	19	lignin	lignin	NOUN
brj-24822	31	20	and	and	CCONJ
brj-24822	31	21	hemicellulose	hemicellulose	NOUN
brj-24822	31	22	,	,	PUNCT
brj-24822	31	23	reduce	reduce	VERB
brj-24822	31	24	cellulose	cellulose	NOUN
brj-24822	31	25	crystallinity	crystallinity	NOUN
brj-24822	31	26	,	,	PUNCT
brj-24822	31	27	and	and	CCONJ
brj-24822	31	28	enhance	enhance	VERB
brj-24822	31	29	enzyme	enzyme	NOUN
brj-24822	31	30	accessibility	accessibility	NOUN
brj-24822	31	31	.	.	PUNCT
brj-24822	32	1	among	among	ADP
brj-24822	32	2	alkaline	alkaline	NOUN
brj-24822	32	3	reagents	reagent	NOUN
brj-24822	32	4	,	,	PUNCT
brj-24822	32	5	naoh	naoh	NOUN
brj-24822	32	6	is	be	AUX
brj-24822	32	7	more	more	ADV
brj-24822	32	8	widely	widely	ADV
brj-24822	32	9	used	use	VERB
brj-24822	32	10	for	for	ADP
brj-24822	32	11	pretreatment	pretreatment	NOUN
brj-24822	32	12	than	than	ADP
brj-24822	32	13	potassium	potassium	NOUN
brj-24822	32	14	hydroxide	hydroxide	NOUN
brj-24822	32	15	(	(	PUNCT
brj-24822	32	16	koh	koh	PROPN
brj-24822	32	17	)	)	PUNCT
brj-24822	32	18	due	due	ADP
brj-24822	32	19	to	to	ADP
brj-24822	32	20	its	its	PRON
brj-24822	32	21	lower	low	ADJ
brj-24822	32	22	cost	cost	NOUN
brj-24822	32	23	and	and	CCONJ
brj-24822	32	24	stronger	strong	ADJ
brj-24822	32	25	alkalinity	alkalinity	NOUN
brj-24822	32	26	,	,	PUNCT
brj-24822	32	27	which	which	PRON
brj-24822	32	28	enables	enable	VERB
brj-24822	32	29	effective	effective	ADJ
brj-24822	32	30	lignin	lignin	NOUN
brj-24822	32	31	removal	removal	NOUN
brj-24822	32	32	even	even	ADV
brj-24822	32	33	at	at	ADP
brj-24822	32	34	relatively	relatively	ADV
brj-24822	32	35	low	low	ADJ
brj-24822	32	36	reaction	reaction	NOUN
brj-24822	32	37	temperatures	temperature	NOUN
brj-24822	32	38	(	(	PUNCT
brj-24822	32	39	kim	kim	PROPN
brj-24822	32	40	et	et	PROPN
brj-24822	32	41	al	al	PROPN
brj-24822	32	42	.	.	PROPN
brj-24822	32	43	2016	2016	NUM
brj-24822	32	44	)	)	PUNCT
brj-24822	32	45	.	.	PUNCT
brj-24822	33	1	it	it	PRON
brj-24822	33	2	is	be	AUX
brj-24822	33	3	cost	cost	NOUN
brj-24822	33	4	-	-	PUNCT
brj-24822	33	5	effective	effective	ADJ
brj-24822	33	6	,	,	PUNCT
brj-24822	33	7	operates	operate	VERB
brj-24822	33	8	under	under	ADP
brj-24822	33	9	mild	mild	ADJ
brj-24822	33	10	conditions	condition	NOUN
brj-24822	33	11	,	,	PUNCT
brj-24822	33	12	and	and	CCONJ
brj-24822	33	13	can	can	AUX
brj-24822	33	14	be	be	AUX
brj-24822	33	15	integrated	integrate	VERB
brj-24822	33	16	with	with	ADP
brj-24822	33	17	steam	steam	NOUN
brj-24822	33	18	explosion	explosion	NOUN
brj-24822	33	19	to	to	PART
brj-24822	33	20	synergistically	synergistically	ADV
brj-24822	33	21	improve	improve	VERB
brj-24822	33	22	biomass	biomass	NOUN
brj-24822	33	23	digestibility	digestibility	NOUN
brj-24822	33	24	(	(	PUNCT
brj-24822	33	25	antonopoulou	antonopoulou	PROPN
brj-24822	33	26	et	et	PROPN
brj-24822	33	27	al	al	PROPN
brj-24822	33	28	.	.	PROPN
brj-24822	33	29	2016	2016	NUM
brj-24822	33	30	)	)	PUNCT
brj-24822	33	31	.	.	PUNCT
brj-24822	34	1	therefore	therefore	ADV
brj-24822	34	2	,	,	PUNCT
brj-24822	34	3	pretreatment	pretreatment	NOUN
brj-24822	34	4	using	use	VERB
brj-24822	34	5	sodium	sodium	NOUN
brj-24822	34	6	hydroxide	hydroxide	NOUN
brj-24822	34	7	can	can	AUX
brj-24822	34	8	be	be	AUX
brj-24822	34	9	regarded	regard	VERB
brj-24822	34	10	as	as	ADP
brj-24822	34	11	a	a	DET
brj-24822	34	12	feasible	feasible	ADJ
brj-24822	34	13	and	and	CCONJ
brj-24822	34	14	effective	effective	ADJ
brj-24822	34	15	method	method	NOUN
brj-24822	34	16	for	for	ADP
brj-24822	34	17	lignocellulosic	lignocellulosic	ADJ
brj-24822	34	18	biomass	biomass	NOUN
brj-24822	34	19	processing	processing	NOUN
brj-24822	34	20	.	.	PUNCT
brj-24822	35	1	notwithstanding	notwithstanding	ADP
brj-24822	35	2	the	the	DET
brj-24822	35	3	advantages	advantage	NOUN
brj-24822	35	4	,	,	PUNCT
brj-24822	35	5	determining	determine	VERB
brj-24822	35	6	the	the	DET
brj-24822	35	7	optimal	optimal	ADJ
brj-24822	35	8	combination	combination	NOUN
brj-24822	35	9	of	of	ADP
brj-24822	35	10	pretreatment	pretreatment	NOUN
brj-24822	35	11	parameters	parameter	NOUN
brj-24822	35	12	such	such	ADJ
brj-24822	35	13	as	as	ADP
brj-24822	35	14	bark	bark	NOUN
brj-24822	35	15	presence	presence	NOUN
brj-24822	35	16	,	,	PUNCT
brj-24822	35	17	steam	steam	NOUN
brj-24822	35	18	duration	duration	NOUN
brj-24822	35	19	,	,	PUNCT
brj-24822	35	20	alkali	alkali	ADJ
brj-24822	35	21	concentration	concentration	NOUN
brj-24822	35	22	,	,	PUNCT
brj-24822	35	23	and	and	CCONJ
brj-24822	35	24	treatment	treatment	NOUN
brj-24822	35	25	time	time	NOUN
brj-24822	35	26	remains	remain	VERB
brj-24822	35	27	difficult	difficult	ADJ
brj-24822	35	28	due	due	ADP
brj-24822	35	29	to	to	ADP
brj-24822	35	30	the	the	DET
brj-24822	35	31	complexity	complexity	NOUN
brj-24822	35	32	and	and	CCONJ
brj-24822	35	33	nonlinearity	nonlinearity	NOUN
brj-24822	35	34	of	of	ADP
brj-24822	35	35	their	their	PRON
brj-24822	35	36	interactions	interaction	NOUN
brj-24822	35	37	.	.	PUNCT
brj-24822	36	1	in	in	ADP
brj-24822	36	2	this	this	DET
brj-24822	36	3	context	context	NOUN
brj-24822	36	4	,	,	PUNCT
brj-24822	36	5	artificial	artificial	ADJ
brj-24822	36	6	intelligence	intelligence	NOUN
brj-24822	36	7	,	,	PUNCT
brj-24822	36	8	particularly	particularly	ADV
brj-24822	36	9	artificial	artificial	ADJ
brj-24822	36	10	neural	neural	ADJ
brj-24822	36	11	networks	network	NOUN
brj-24822	36	12	(	(	PUNCT
brj-24822	36	13	anns	anns	PROPN
brj-24822	36	14	)	)	PUNCT
brj-24822	36	15	,	,	PUNCT
brj-24822	36	16	has	have	AUX
brj-24822	36	17	emerged	emerge	VERB
brj-24822	36	18	as	as	ADP
brj-24822	36	19	a	a	DET
brj-24822	36	20	potent	potent	ADJ
brj-24822	36	21	approach	approach	NOUN
brj-24822	36	22	to	to	ADP
brj-24822	36	23	model	model	NOUN
brj-24822	36	24	and	and	CCONJ
brj-24822	36	25	optimize	optimize	VERB
brj-24822	36	26	such	such	ADJ
brj-24822	36	27	multifactorial	multifactorial	ADJ
brj-24822	36	28	processes	process	NOUN
brj-24822	36	29	(	(	PUNCT
brj-24822	36	30	almeida	almeida	PROPN
brj-24822	36	31	2002	2002	NUM
brj-24822	36	32	)	)	PUNCT
brj-24822	36	33	.	.	PUNCT
brj-24822	37	1	anns	anns	PROPN
brj-24822	37	2	have	have	VERB
brj-24822	37	3	the	the	DET
brj-24822	37	4	capacity	capacity	NOUN
brj-24822	37	5	to	to	PART
brj-24822	37	6	learn	learn	VERB
brj-24822	37	7	complex	complex	ADJ
brj-24822	37	8	,	,	PUNCT
brj-24822	37	9	nonlinear	nonlinear	ADJ
brj-24822	37	10	relationships	relationship	NOUN
brj-24822	37	11	between	between	ADP
brj-24822	37	12	input	input	NOUN
brj-24822	37	13	variables	variable	NOUN
brj-24822	37	14	and	and	CCONJ
brj-24822	37	15	response	response	NOUN
brj-24822	37	16	outputs	output	NOUN
brj-24822	37	17	without	without	ADP
brj-24822	37	18	requiring	require	VERB
brj-24822	37	19	explicit	explicit	ADJ
brj-24822	37	20	mathematical	mathematical	ADJ
brj-24822	37	21	formulations	formulation	NOUN
brj-24822	37	22	.	.	PUNCT
brj-24822	38	1	this	this	PRON
brj-24822	38	2	renders	render	VERB
brj-24822	38	3	them	they	PRON
brj-24822	38	4	especially	especially	ADV
brj-24822	38	5	suitable	suitable	ADJ
brj-24822	38	6	for	for	ADP
brj-24822	38	7	predicting	predict	VERB
brj-24822	38	8	outcomes	outcome	NOUN
brj-24822	38	9	in	in	ADP
brj-24822	38	10	biological	biological	ADJ
brj-24822	38	11	systems	system	NOUN
brj-24822	38	12	with	with	ADP
brj-24822	38	13	inherent	inherent	ADJ
brj-24822	38	14	variability	variability	NOUN
brj-24822	38	15	.	.	PUNCT
brj-24822	39	1	recent	recent	ADJ
brj-24822	39	2	applications	application	NOUN
brj-24822	39	3	of	of	ADP
brj-24822	39	4	artificial	artificial	ADJ
brj-24822	39	5	neural	neural	ADJ
brj-24822	39	6	networks	network	NOUN
brj-24822	39	7	(	(	PUNCT
brj-24822	39	8	ann	ann	PROPN
brj-24822	39	9	)	)	PUNCT
brj-24822	39	10	in	in	ADP
brj-24822	39	11	the	the	DET
brj-24822	39	12	field	field	NOUN
brj-24822	39	13	of	of	ADP
brj-24822	39	14	biomass	biomass	NOUN
brj-24822	39	15	conversion	conversion	NOUN
brj-24822	39	16	have	have	AUX
brj-24822	39	17	demonstrated	demonstrate	VERB
brj-24822	39	18	a	a	DET
brj-24822	39	19	high	high	ADJ
brj-24822	39	20	degree	degree	NOUN
brj-24822	39	21	of	of	ADP
brj-24822	39	22	accuracy	accuracy	NOUN
brj-24822	39	23	in	in	ADP
brj-24822	39	24	modelling	model	VERB
brj-24822	39	25	processes	process	NOUN
brj-24822	39	26	such	such	ADJ
brj-24822	39	27	as	as	ADP
brj-24822	39	28	enzymatic	enzymatic	ADJ
brj-24822	39	29	saccharification	saccharification	NOUN
brj-24822	39	30	,	,	PUNCT
brj-24822	39	31	bioethanol	bioethanol	NOUN
brj-24822	39	32	yields	yield	NOUN
brj-24822	39	33	,	,	PUNCT
brj-24822	39	34	and	and	CCONJ
brj-24822	39	35	the	the	DET
brj-24822	39	36	influence	influence	NOUN
brj-24822	39	37	of	of	ADP
brj-24822	39	38	pretreatment	pretreatment	NOUN
brj-24822	39	39	conditions	condition	NOUN
brj-24822	39	40	(	(	PUNCT
brj-24822	39	41	vinitha	vinitha	NOUN
brj-24822	39	42	et	et	PROPN
brj-24822	39	43	al	al	PROPN
brj-24822	39	44	.	.	PROPN
brj-24822	39	45	2024	2024	NUM
brj-24822	39	46	;	;	PUNCT
brj-24822	39	47	azad	azad	PROPN
brj-24822	39	48	et	et	PROPN
brj-24822	39	49	al	al	PROPN
brj-24822	39	50	.	.	PROPN
brj-24822	39	51	2025	2025	NUM
brj-24822	39	52	)	)	PUNCT
brj-24822	39	53	.	.	PUNCT
brj-24822	40	1	for	for	ADP
brj-24822	40	2	instance	instance	NOUN
brj-24822	40	3	,	,	PUNCT
brj-24822	40	4	vinitha	vinitha	PROPN
brj-24822	40	5	et	et	PROPN
brj-24822	40	6	al	al	PROPN
brj-24822	40	7	.	.	PROPN
brj-24822	41	1	(	(	PUNCT
brj-24822	41	2	2024	2024	NUM
brj-24822	41	3	)	)	PUNCT
brj-24822	41	4	applied	apply	VERB
brj-24822	41	5	optimized	optimize	VERB
brj-24822	41	6	decision	decision	NOUN
brj-24822	41	7	-	-	PUNCT
brj-24822	41	8	making	make	VERB
brj-24822	41	9	algorithms	algorithm	NOUN
brj-24822	41	10	to	to	PART
brj-24822	41	11	enhance	enhance	VERB
brj-24822	41	12	the	the	DET
brj-24822	41	13	efficiency	efficiency	NOUN
brj-24822	41	14	of	of	ADP
brj-24822	41	15	enzymatic	enzymatic	ADJ
brj-24822	41	16	saccharification	saccharification	NOUN
brj-24822	41	17	,	,	PUNCT
brj-24822	41	18	while	while	SCONJ
brj-24822	41	19	azad	azad	PROPN
brj-24822	41	20	et	et	PROPN
brj-24822	41	21	al	al	PROPN
brj-24822	41	22	.	.	PROPN
brj-24822	42	1	(	(	PUNCT
brj-24822	42	2	2025	2025	NUM
brj-24822	42	3	)	)	PUNCT
brj-24822	42	4	integrated	integrate	VERB
brj-24822	42	5	orthogonal	orthogonal	ADJ
brj-24822	42	6	experimental	experimental	ADJ
brj-24822	42	7	designs	design	NOUN
brj-24822	42	8	with	with	ADP
brj-24822	42	9	machine	machine	NOUN
brj-24822	42	10	learning	learn	VERB
brj-24822	42	11	algorithms	algorithm	NOUN
brj-24822	42	12	to	to	PART
brj-24822	42	13	achieve	achieve	VERB
brj-24822	42	14	cellulose	cellulose	NOUN
brj-24822	42	15	recovery	recovery	NOUN
brj-24822	42	16	efficiencies	efficiency	NOUN
brj-24822	42	17	exceeding	exceed	VERB
brj-24822	42	18	88	88	NUM
brj-24822	42	19	%	%	NOUN
brj-24822	42	20	,	,	PUNCT
brj-24822	42	21	accompanied	accompany	VERB
brj-24822	42	22	by	by	ADP
brj-24822	42	23	minimal	minimal	ADJ
brj-24822	42	24	prediction	prediction	NOUN
brj-24822	42	25	error	error	NOUN
brj-24822	42	26	.	.	PUNCT
brj-24822	43	1	in	in	ADP
brj-24822	43	2	line	line	NOUN
brj-24822	43	3	with	with	ADP
brj-24822	43	4	these	these	DET
brj-24822	43	5	developments	development	NOUN
brj-24822	43	6	,	,	PUNCT
brj-24822	43	7	the	the	DET
brj-24822	43	8	present	present	ADJ
brj-24822	43	9	study	study	NOUN
brj-24822	43	10	focused	focus	VERB
brj-24822	43	11	on	on	ADP
brj-24822	43	12	pine	pine	ADJ
brj-24822	43	13	biomass	biomass	NOUN
brj-24822	43	14	subjected	subject	VERB
brj-24822	43	15	to	to	ADP
brj-24822	43	16	steam	steam	NOUN
brj-24822	43	17	explosion	explosion	NOUN
brj-24822	43	18	and	and	CCONJ
brj-24822	43	19	naoh	naoh	NOUN
brj-24822	43	20	pretreatment	pretreatment	NOUN
brj-24822	43	21	.	.	PUNCT
brj-24822	44	1	the	the	DET
brj-24822	44	2	efficiency	efficiency	NOUN
brj-24822	44	3	of	of	ADP
brj-24822	44	4	the	the	DET
brj-24822	44	5	enzymatic	enzymatic	ADJ
brj-24822	44	6	hydrolysis	hydrolysis	NOUN
brj-24822	44	7	of	of	ADP
brj-24822	44	8	such	such	ADJ
brj-24822	44	9	biomass	biomass	NOUN
brj-24822	44	10	is	be	AUX
brj-24822	44	11	affected	affect	VERB
brj-24822	44	12	by	by	ADP
brj-24822	44	13	multiple	multiple	ADJ
brj-24822	44	14	covariates	covariate	NOUN
brj-24822	44	15	,	,	PUNCT
brj-24822	44	16	including	include	VERB
brj-24822	44	17	the	the	DET
brj-24822	44	18	presence	presence	NOUN
brj-24822	44	19	peer	peer	NOUN
brj-24822	44	20	-	-	PUNCT
brj-24822	44	21	reviewed	review	VERB
brj-24822	44	22	article	article	NOUN
brj-24822	44	23	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	45	1	kim	kim	PROPN
brj-24822	45	2	et	et	PROPN
brj-24822	45	3	al	al	PROPN
brj-24822	45	4	.	.	PROPN
brj-24822	45	5	(	(	PUNCT
brj-24822	45	6	2025	2025	NUM
brj-24822	45	7	)	)	PUNCT
brj-24822	45	8	.	.	PUNCT
brj-24822	46	1	“	"	PUNCT
brj-24822	46	2	steam	steam	NOUN
brj-24822	46	3	&	&	CCONJ
brj-24822	46	4	naoh	naoh	PROPN
brj-24822	46	5	pretreatments	pretreatment	NOUN
brj-24822	46	6	,	,	PUNCT
brj-24822	46	7	”	"	PUNCT
brj-24822	46	8	bioresources	bioresource	VERB
brj-24822	46	9	20(4	20(4	NOUN
brj-24822	46	10	)	)	PUNCT
brj-24822	46	11	,	,	PUNCT
brj-24822	46	12	8400	8400	NUM
brj-24822	46	13	-	-	SYM
brj-24822	46	14	8419	8419	NUM
brj-24822	46	15	.	.	PUNCT
brj-24822	47	1	8402	8402	NUM
brj-24822	47	2	of	of	ADP
brj-24822	47	3	bark	bark	NOUN
brj-24822	47	4	,	,	PUNCT
brj-24822	47	5	the	the	DET
brj-24822	47	6	duration	duration	NOUN
brj-24822	47	7	of	of	ADP
brj-24822	47	8	steam	steam	NOUN
brj-24822	47	9	explosion	explosion	NOUN
brj-24822	47	10	,	,	PUNCT
brj-24822	47	11	the	the	DET
brj-24822	47	12	concentration	concentration	NOUN
brj-24822	47	13	of	of	ADP
brj-24822	47	14	naoh	naoh	NOUN
brj-24822	47	15	,	,	PUNCT
brj-24822	47	16	and	and	CCONJ
brj-24822	47	17	treatment	treatment	NOUN
brj-24822	47	18	time	time	NOUN
brj-24822	47	19	.	.	PUNCT
brj-24822	48	1	the	the	DET
brj-24822	48	2	variables	variable	NOUN
brj-24822	48	3	under	under	ADP
brj-24822	48	4	consideration	consideration	NOUN
brj-24822	48	5	are	be	AUX
brj-24822	48	6	pivotal	pivotal	ADJ
brj-24822	48	7	in	in	ADP
brj-24822	48	8	determining	determine	VERB
brj-24822	48	9	the	the	DET
brj-24822	48	10	chemical	chemical	NOUN
brj-24822	48	11	composition	composition	NOUN
brj-24822	48	12	and	and	CCONJ
brj-24822	48	13	physical	physical	ADJ
brj-24822	48	14	structure	structure	NOUN
brj-24822	48	15	of	of	ADP
brj-24822	48	16	the	the	DET
brj-24822	48	17	resulting	result	VERB
brj-24822	48	18	substrate	substrate	NOUN
brj-24822	48	19	.	.	PUNCT
brj-24822	49	1	consequently	consequently	ADV
brj-24822	49	2	,	,	PUNCT
brj-24822	49	3	it	it	PRON
brj-24822	49	4	is	be	AUX
brj-24822	49	5	challenging	challenge	VERB
brj-24822	49	6	to	to	PART
brj-24822	49	7	predict	predict	VERB
brj-24822	49	8	hydrolysis	hydrolysis	NOUN
brj-24822	49	9	performance	performance	NOUN
brj-24822	49	10	using	use	VERB
brj-24822	49	11	conventional	conventional	ADJ
brj-24822	49	12	methods	method	NOUN
brj-24822	49	13	alone	alone	ADV
brj-24822	49	14	.	.	PUNCT
brj-24822	50	1	in	in	ADP
brj-24822	50	2	order	order	NOUN
brj-24822	50	3	to	to	PART
brj-24822	50	4	address	address	VERB
brj-24822	50	5	this	this	DET
brj-24822	50	6	issue	issue	NOUN
brj-24822	50	7	,	,	PUNCT
brj-24822	50	8	a	a	DET
brj-24822	50	9	novel	novel	ADJ
brj-24822	50	10	approach	approach	NOUN
brj-24822	50	11	is	be	AUX
brj-24822	50	12	proposed	propose	VERB
brj-24822	50	13	,	,	PUNCT
brj-24822	50	14	which	which	PRON
brj-24822	50	15	involves	involve	VERB
brj-24822	50	16	the	the	DET
brj-24822	50	17	use	use	NOUN
brj-24822	50	18	of	of	ADP
brj-24822	50	19	an	an	DET
brj-24822	50	20	artificial	artificial	ADJ
brj-24822	50	21	neural	neural	ADJ
brj-24822	50	22	network	network	NOUN
brj-24822	50	23	(	(	PUNCT
brj-24822	50	24	ann)-based	ann)-base	VERB
brj-24822	50	25	modelling	modelling	NOUN
brj-24822	50	26	strategy	strategy	NOUN
brj-24822	50	27	to	to	PART
brj-24822	50	28	simulate	simulate	VERB
brj-24822	50	29	and	and	CCONJ
brj-24822	50	30	predict	predict	VERB
brj-24822	50	31	the	the	DET
brj-24822	50	32	efficiency	efficiency	NOUN
brj-24822	50	33	of	of	ADP
brj-24822	50	34	the	the	DET
brj-24822	50	35	enzymatic	enzymatic	ADJ
brj-24822	50	36	hydrolysis	hydrolysis	NOUN
brj-24822	50	37	of	of	ADP
brj-24822	50	38	pretreated	pretreated	ADJ
brj-24822	50	39	pine	pine	ADJ
brj-24822	50	40	biomass	biomass	NOUN
brj-24822	50	41	.	.	PUNCT
brj-24822	51	1	the	the	DET
brj-24822	51	2	objective	objective	NOUN
brj-24822	51	3	of	of	ADP
brj-24822	51	4	training	train	VERB
brj-24822	51	5	the	the	DET
brj-24822	51	6	model	model	NOUN
brj-24822	51	7	on	on	ADP
brj-24822	51	8	experimental	experimental	ADJ
brj-24822	51	9	data	datum	NOUN
brj-24822	51	10	is	be	AUX
brj-24822	51	11	twofold	twofold	ADV
brj-24822	51	12	:	:	PUNCT
brj-24822	51	13	first	first	ADV
brj-24822	51	14	,	,	PUNCT
brj-24822	51	15	to	to	PART
brj-24822	51	16	analyze	analyze	VERB
brj-24822	51	17	which	which	DET
brj-24822	51	18	process	process	NOUN
brj-24822	51	19	variables	variable	NOUN
brj-24822	51	20	affect	affect	VERB
brj-24822	51	21	the	the	DET
brj-24822	51	22	enzymatic	enzymatic	ADJ
brj-24822	51	23	hydrolysis	hydrolysis	NOUN
brj-24822	51	24	rate	rate	NOUN
brj-24822	51	25	,	,	PUNCT
brj-24822	51	26	and	and	CCONJ
brj-24822	51	27	second	second	ADJ
brj-24822	51	28	,	,	PUNCT
brj-24822	51	29	to	to	PART
brj-24822	51	30	evaluate	evaluate	VERB
brj-24822	51	31	the	the	DET
brj-24822	51	32	predictive	predictive	ADJ
brj-24822	51	33	performance	performance	NOUN
brj-24822	51	34	of	of	ADP
brj-24822	51	35	the	the	DET
brj-24822	51	36	ann	ann	PROPN
brj-24822	51	37	compared	compare	VERB
brj-24822	51	38	to	to	ADP
brj-24822	51	39	other	other	ADJ
brj-24822	51	40	models	model	NOUN
brj-24822	51	41	such	such	ADJ
brj-24822	51	42	as	as	ADP
brj-24822	51	43	random	random	ADJ
brj-24822	51	44	forest	forest	NOUN
brj-24822	51	45	(	(	PUNCT
brj-24822	51	46	rf	rf	NOUN
brj-24822	51	47	)	)	PUNCT
brj-24822	51	48	,	,	PUNCT
brj-24822	51	49	support	support	VERB
brj-24822	51	50	vector	vector	NOUN
brj-24822	51	51	regression	regression	NOUN
brj-24822	51	52	(	(	PUNCT
brj-24822	51	53	svr	svr	PROPN
brj-24822	51	54	)	)	PUNCT
brj-24822	51	55	,	,	PUNCT
brj-24822	51	56	and	and	CCONJ
brj-24822	51	57	extreme	extreme	ADJ
brj-24822	51	58	gradient	gradient	NOUN
brj-24822	51	59	boosting	boost	VERB
brj-24822	51	60	(	(	PUNCT
brj-24822	51	61	xgb	xgb	NUM
brj-24822	51	62	)	)	PUNCT
brj-24822	51	63	.	.	PUNCT
brj-24822	52	1	although	although	SCONJ
brj-24822	52	2	machine	machine	NOUN
brj-24822	52	3	learning	learn	VERB
brj-24822	52	4	algorithms	algorithm	NOUN
brj-24822	52	5	have	have	AUX
brj-24822	52	6	been	be	AUX
brj-24822	52	7	increasingly	increasingly	ADV
brj-24822	52	8	applied	apply	VERB
brj-24822	52	9	in	in	ADP
brj-24822	52	10	the	the	DET
brj-24822	52	11	fields	field	NOUN
brj-24822	52	12	of	of	ADP
brj-24822	52	13	wood	wood	NOUN
brj-24822	52	14	chemistry	chemistry	NOUN
brj-24822	52	15	and	and	CCONJ
brj-24822	52	16	bioprocessing	bioprocessing	NOUN
brj-24822	52	17	,	,	PUNCT
brj-24822	52	18	to	to	ADP
brj-24822	52	19	the	the	DET
brj-24822	52	20	best	good	ADJ
brj-24822	52	21	of	of	ADP
brj-24822	52	22	our	our	PRON
brj-24822	52	23	knowledge	knowledge	NOUN
brj-24822	52	24	,	,	PUNCT
brj-24822	52	25	their	their	PRON
brj-24822	52	26	application	application	NOUN
brj-24822	52	27	to	to	ADP
brj-24822	52	28	modeling	model	VERB
brj-24822	52	29	enzymatic	enzymatic	ADJ
brj-24822	52	30	hydrolysis	hydrolysis	NOUN
brj-24822	52	31	based	base	VERB
brj-24822	52	32	on	on	ADP
brj-24822	52	33	the	the	DET
brj-24822	52	34	pretreatment	pretreatment	NOUN
brj-24822	52	35	of	of	ADP
brj-24822	52	36	steam	steam	NOUN
brj-24822	52	37	exploded	explode	VERB
brj-24822	52	38	pine	pine	ADJ
brj-24822	52	39	wood	wood	NOUN
brj-24822	52	40	biomass	biomass	NOUN
brj-24822	52	41	remains	remain	VERB
brj-24822	52	42	limited	limited	ADJ
brj-24822	52	43	.	.	PUNCT
brj-24822	53	1	the	the	DET
brj-24822	53	2	objective	objective	NOUN
brj-24822	53	3	of	of	ADP
brj-24822	53	4	this	this	DET
brj-24822	53	5	study	study	NOUN
brj-24822	53	6	was	be	AUX
brj-24822	53	7	to	to	PART
brj-24822	53	8	investigate	investigate	VERB
brj-24822	53	9	a	a	DET
brj-24822	53	10	predictive	predictive	ADJ
brj-24822	53	11	model	model	NOUN
brj-24822	53	12	for	for	ADP
brj-24822	53	13	enzymatic	enzymatic	ADJ
brj-24822	53	14	hydrolysis	hydrolysis	NOUN
brj-24822	53	15	yield	yield	NOUN
brj-24822	53	16	using	use	VERB
brj-24822	53	17	pre	pre	ADJ
brj-24822	53	18	-	-	ADJ
brj-24822	53	19	treatment	treatment	ADJ
brj-24822	53	20	process	process	NOUN
brj-24822	53	21	parameters	parameter	NOUN
brj-24822	53	22	of	of	ADP
brj-24822	53	23	lignocellulosic	lignocellulosic	ADJ
brj-24822	53	24	biomass	biomass	NOUN
brj-24822	53	25	(	(	PUNCT
brj-24822	53	26	pine	pine	ADJ
brj-24822	53	27	wood	wood	NOUN
brj-24822	53	28	biomass	biomass	NOUN
brj-24822	53	29	)	)	PUNCT
brj-24822	53	30	such	such	ADJ
brj-24822	53	31	as	as	ADP
brj-24822	53	32	steam	steam	NOUN
brj-24822	53	33	explosion	explosion	NOUN
brj-24822	53	34	and	and	CCONJ
brj-24822	53	35	alkaline	alkaline	NOUN
brj-24822	53	36	pretreatment	pretreatment	NOUN
brj-24822	53	37	.	.	PUNCT
brj-24822	54	1	an	an	DET
brj-24822	54	2	artificial	artificial	ADJ
brj-24822	54	3	neural	neural	ADJ
brj-24822	54	4	network	network	NOUN
brj-24822	54	5	(	(	PUNCT
brj-24822	54	6	ann	ann	PROPN
brj-24822	54	7	)	)	PUNCT
brj-24822	54	8	was	be	AUX
brj-24822	54	9	modeled	model	VERB
brj-24822	54	10	using	use	VERB
brj-24822	54	11	python	python	NOUN
brj-24822	54	12	to	to	PART
brj-24822	54	13	predict	predict	VERB
brj-24822	54	14	the	the	DET
brj-24822	54	15	enzymatic	enzymatic	ADJ
brj-24822	54	16	hydrolysis	hydrolysis	NOUN
brj-24822	54	17	rate	rate	NOUN
brj-24822	54	18	based	base	VERB
brj-24822	54	19	on	on	ADP
brj-24822	54	20	these	these	DET
brj-24822	54	21	pretreatment	pretreatment	NOUN
brj-24822	54	22	variables	variable	NOUN
brj-24822	54	23	.	.	PUNCT
brj-24822	55	1	to	to	PART
brj-24822	55	2	enhance	enhance	VERB
brj-24822	55	3	the	the	DET
brj-24822	55	4	prediction	prediction	NOUN
brj-24822	55	5	performance	performance	NOUN
brj-24822	55	6	of	of	ADP
brj-24822	55	7	the	the	DET
brj-24822	55	8	ann	ann	PROPN
brj-24822	55	9	,	,	PUNCT
brj-24822	55	10	hyperparameter	hyperparameter	NOUN
brj-24822	55	11	tuning	tuning	NOUN
brj-24822	55	12	was	be	AUX
brj-24822	55	13	conducted	conduct	VERB
brj-24822	55	14	.	.	PUNCT
brj-24822	56	1	the	the	DET
brj-24822	56	2	optimized	optimize	VERB
brj-24822	56	3	ann	ann	PROPN
brj-24822	56	4	model	model	NOUN
brj-24822	56	5	was	be	AUX
brj-24822	56	6	then	then	ADV
brj-24822	56	7	compared	compare	VERB
brj-24822	56	8	with	with	ADP
brj-24822	56	9	other	other	ADJ
brj-24822	56	10	machine	machine	NOUN
brj-24822	56	11	learning	learning	NOUN
brj-24822	56	12	models	model	NOUN
brj-24822	56	13	in	in	ADP
brj-24822	56	14	terms	term	NOUN
brj-24822	56	15	of	of	ADP
brj-24822	56	16	prediction	prediction	NOUN
brj-24822	56	17	accuracy	accuracy	NOUN
brj-24822	56	18	.	.	PUNCT
brj-24822	57	1	predictive	predictive	ADJ
brj-24822	57	2	performance	performance	NOUN
brj-24822	57	3	was	be	AUX
brj-24822	57	4	evaluated	evaluate	VERB
brj-24822	57	5	using	use	VERB
brj-24822	57	6	mean	mean	ADJ
brj-24822	57	7	square	square	ADJ
brj-24822	57	8	error	error	NOUN
brj-24822	57	9	(	(	PUNCT
brj-24822	57	10	mse	mse	NOUN
brj-24822	57	11	)	)	PUNCT
brj-24822	57	12	and	and	CCONJ
brj-24822	57	13	the	the	DET
brj-24822	57	14	coefficient	coefficient	NOUN
brj-24822	57	15	of	of	ADP
brj-24822	57	16	determination	determination	NOUN
brj-24822	57	17	(	(	PUNCT
brj-24822	57	18	r²	r²	NOUN
brj-24822	57	19	)	)	PUNCT
brj-24822	57	20	.	.	PUNCT
brj-24822	58	1	therefore	therefore	ADV
brj-24822	58	2	,	,	PUNCT
brj-24822	58	3	the	the	DET
brj-24822	58	4	results	result	NOUN
brj-24822	58	5	of	of	ADP
brj-24822	58	6	this	this	DET
brj-24822	58	7	study	study	NOUN
brj-24822	58	8	are	be	AUX
brj-24822	58	9	expected	expect	VERB
brj-24822	58	10	to	to	PART
brj-24822	58	11	provide	provide	VERB
brj-24822	58	12	valuable	valuable	ADJ
brj-24822	58	13	insight	insight	NOUN
brj-24822	58	14	into	into	ADP
brj-24822	58	15	the	the	DET
brj-24822	58	16	synergistic	synergistic	ADJ
brj-24822	58	17	effect	effect	NOUN
brj-24822	58	18	of	of	ADP
brj-24822	58	19	steam	steam	NOUN
brj-24822	58	20	explosion	explosion	NOUN
brj-24822	58	21	and	and	CCONJ
brj-24822	58	22	alkaline	alkaline	NOUN
brj-24822	58	23	pretreatment	pretreatment	NOUN
brj-24822	58	24	on	on	ADP
brj-24822	58	25	the	the	DET
brj-24822	58	26	enzyme	enzyme	NOUN
brj-24822	58	27	hydrolysis	hydrolysis	NOUN
brj-24822	58	28	of	of	ADP
brj-24822	58	29	pine	pine	ADJ
brj-24822	58	30	wood	wood	NOUN
brj-24822	58	31	,	,	PUNCT
brj-24822	58	32	and	and	CCONJ
brj-24822	58	33	contributes	contribute	VERB
brj-24822	58	34	to	to	ADP
brj-24822	58	35	the	the	DET
brj-24822	58	36	development	development	NOUN
brj-24822	58	37	of	of	ADP
brj-24822	58	38	efficient	efficient	ADJ
brj-24822	58	39	conversion	conversion	NOUN
brj-24822	58	40	processes	process	NOUN
brj-24822	58	41	for	for	ADP
brj-24822	58	42	producing	produce	VERB
brj-24822	58	43	high	high	ADJ
brj-24822	58	44	-	-	PUNCT
brj-24822	58	45	value	value	NOUN
brj-24822	58	46	sugars	sugar	NOUN
brj-24822	58	47	from	from	ADP
brj-24822	58	48	lignocellulosic	lignocellulosic	ADJ
brj-24822	58	49	biomass	biomass	NOUN
brj-24822	58	50	.	.	PUNCT
brj-24822	59	1	experimental	experimental	ADJ
brj-24822	59	2	materials	material	NOUN
brj-24822	59	3	the	the	DET
brj-24822	59	4	pine	pine	ADJ
brj-24822	59	5	wood	wood	NOUN
brj-24822	59	6	chips	chip	NOUN
brj-24822	59	7	used	use	VERB
brj-24822	59	8	in	in	ADP
brj-24822	59	9	the	the	DET
brj-24822	59	10	study	study	NOUN
brj-24822	59	11	were	be	AUX
brj-24822	59	12	sourced	source	VERB
brj-24822	59	13	from	from	ADP
brj-24822	59	14	punglim	punglim	PROPN
brj-24822	59	15	corporation	corporation	NOUN
brj-24822	59	16	(	(	PUNCT
brj-24822	59	17	daejeon	daejeon	NOUN
brj-24822	59	18	,	,	PUNCT
brj-24822	59	19	korea	korea	PROPN
brj-24822	59	20	)	)	PUNCT
brj-24822	59	21	.	.	PUNCT
brj-24822	60	1	the	the	DET
brj-24822	60	2	pine	pine	ADJ
brj-24822	60	3	wood	wood	NOUN
brj-24822	60	4	chips	chip	NOUN
brj-24822	60	5	were	be	AUX
brj-24822	60	6	divided	divide	VERB
brj-24822	60	7	into	into	ADP
brj-24822	60	8	bark	bark	NOUN
brj-24822	60	9	and	and	CCONJ
brj-24822	60	10	nonbark	nonbark	NOUN
brj-24822	60	11	samples	sample	NOUN
brj-24822	60	12	,	,	PUNCT
brj-24822	60	13	and	and	CCONJ
brj-24822	60	14	all	all	DET
brj-24822	60	15	samples	sample	NOUN
brj-24822	60	16	were	be	AUX
brj-24822	60	17	used	use	VERB
brj-24822	60	18	in	in	ADP
brj-24822	60	19	the	the	DET
brj-24822	60	20	experiments	experiment	NOUN
brj-24822	60	21	.	.	PUNCT
brj-24822	61	1	the	the	DET
brj-24822	61	2	wood	wood	NOUN
brj-24822	61	3	chips	chip	NOUN
brj-24822	61	4	were	be	AUX
brj-24822	61	5	chipped	chip	VERB
brj-24822	61	6	to	to	ADP
brj-24822	61	7	a	a	DET
brj-24822	61	8	size	size	NOUN
brj-24822	61	9	of	of	ADP
brj-24822	61	10	approximately	approximately	ADV
brj-24822	61	11	3	3	NUM
brj-24822	61	12	cm	cm	NOUN
brj-24822	61	13	(	(	PUNCT
brj-24822	61	14	w	w	NOUN
brj-24822	61	15	)	)	PUNCT
brj-24822	61	16	×	×	NOUN
brj-24822	61	17	3	3	NUM
brj-24822	61	18	cm	cm	NOUN
brj-24822	61	19	(	(	PUNCT
brj-24822	61	20	l	l	NOUN
brj-24822	61	21	)	)	PUNCT
brj-24822	61	22	×	×	NOUN
brj-24822	61	23	0.5	0.5	NUM
brj-24822	61	24	cm	cm	NOUN
brj-24822	61	25	(	(	PUNCT
brj-24822	61	26	h	h	NOUN
brj-24822	61	27	)	)	PUNCT
brj-24822	61	28	and	and	CCONJ
brj-24822	61	29	used	use	VERB
brj-24822	61	30	for	for	ADP
brj-24822	61	31	steam	steam	NOUN
brj-24822	61	32	explosion	explosion	NOUN
brj-24822	61	33	treatment	treatment	NOUN
brj-24822	61	34	.	.	PUNCT
brj-24822	62	1	pretreatment	pretreatment	NOUN
brj-24822	62	2	process	process	NOUN
brj-24822	62	3	for	for	ADP
brj-24822	62	4	enzymatic	enzymatic	ADJ
brj-24822	62	5	hydrolysis	hydrolysis	NOUN
brj-24822	62	6	pine	pine	NOUN
brj-24822	62	7	woodchip	woodchip	NOUN
brj-24822	62	8	steam	steam	NOUN
brj-24822	62	9	explosion	explosion	NOUN
brj-24822	62	10	the	the	DET
brj-24822	62	11	steam	steam	NOUN
brj-24822	62	12	explosion	explosion	NOUN
brj-24822	62	13	conditions	condition	NOUN
brj-24822	62	14	used	use	VERB
brj-24822	62	15	in	in	ADP
brj-24822	62	16	this	this	DET
brj-24822	62	17	study	study	NOUN
brj-24822	62	18	followed	follow	VERB
brj-24822	62	19	the	the	DET
brj-24822	62	20	parameters	parameter	NOUN
brj-24822	62	21	described	describe	VERB
brj-24822	62	22	by	by	ADP
brj-24822	62	23	ha	ha	INTJ
brj-24822	62	24	et	et	PROPN
brj-24822	62	25	al	al	PROPN
brj-24822	62	26	.	.	PROPN
brj-24822	63	1	(	(	PUNCT
brj-24822	63	2	2024	2024	NUM
brj-24822	63	3	)	)	PUNCT
brj-24822	63	4	.	.	PUNCT
brj-24822	64	1	the	the	DET
brj-24822	64	2	steam	steam	NOUN
brj-24822	64	3	-	-	PUNCT
brj-24822	64	4	explosion	explosion	NOUN
brj-24822	64	5	pretreatment	pretreatment	NOUN
brj-24822	64	6	process	process	NOUN
brj-24822	64	7	was	be	AUX
brj-24822	64	8	conducted	conduct	VERB
brj-24822	64	9	at	at	ADP
brj-24822	64	10	the	the	DET
brj-24822	64	11	customized	customize	VERB
brj-24822	64	12	batch	batch	NOUN
brj-24822	64	13	pilot	pilot	NOUN
brj-24822	64	14	unit	unit	NOUN
brj-24822	64	15	(	(	PUNCT
brj-24822	64	16	yurim	yurim	VERB
brj-24822	64	17	high	high	ADJ
brj-24822	64	18	tech	tech	NOUN
brj-24822	64	19	,	,	PUNCT
brj-24822	64	20	taegu	taegu	NOUN
brj-24822	64	21	,	,	PUNCT
brj-24822	64	22	gyeongsangbuk	gyeongsangbuk	NOUN
brj-24822	64	23	-	-	PUNCT
brj-24822	64	24	do	do	VERB
brj-24822	64	25	,	,	PUNCT
brj-24822	64	26	korea	korea	PROPN
brj-24822	64	27	)	)	PUNCT
brj-24822	64	28	based	base	VERB
brj-24822	64	29	on	on	ADP
brj-24822	64	30	the	the	DET
brj-24822	64	31	masonite	masonite	ADJ
brj-24822	64	32	technology	technology	NOUN
brj-24822	64	33	.	.	PUNCT
brj-24822	65	1	the	the	DET
brj-24822	65	2	reactor	reactor	NOUN
brj-24822	65	3	was	be	AUX
brj-24822	65	4	steam	steam	NOUN
brj-24822	65	5	exploded	explode	VERB
brj-24822	65	6	with	with	ADP
brj-24822	65	7	saturated	saturated	ADJ
brj-24822	65	8	steam	steam	NOUN
brj-24822	65	9	at	at	ADP
brj-24822	65	10	25	25	NUM
brj-24822	65	11	kg	kg	NOUN
brj-24822	65	12	/	/	SYM
brj-24822	65	13	cm2	cm2	PROPN
brj-24822	65	14	for	for	ADP
brj-24822	65	15	1	1	NUM
brj-24822	65	16	to	to	PART
brj-24822	65	17	5	5	NUM
brj-24822	65	18	min	min	NOUN
brj-24822	65	19	.	.	PUNCT
brj-24822	66	1	the	the	DET
brj-24822	66	2	steam	steam	NOUN
brj-24822	66	3	exploded	explode	VERB
brj-24822	66	4	pine	pine	ADJ
brj-24822	66	5	wood	wood	NOUN
brj-24822	66	6	chips	chip	NOUN
brj-24822	66	7	were	be	AUX
brj-24822	66	8	collected	collect	VERB
brj-24822	66	9	in	in	ADP
brj-24822	66	10	circular	circular	ADJ
brj-24822	66	11	bins	bin	NOUN
brj-24822	66	12	,	,	PUNCT
brj-24822	66	13	cooled	cool	VERB
brj-24822	66	14	,	,	PUNCT
brj-24822	66	15	sealed	seal	VERB
brj-24822	66	16	in	in	ADP
brj-24822	66	17	pe	pe	PROPN
brj-24822	66	18	bags	bag	NOUN
brj-24822	66	19	and	and	CCONJ
brj-24822	66	20	refrigerated	refrigerate	VERB
brj-24822	66	21	at	at	ADP
brj-24822	66	22	4	4	NUM
brj-24822	66	23	°	°	ADP
brj-24822	66	24	c	c	NOUN
brj-24822	66	25	until	until	ADP
brj-24822	66	26	chemical	chemical	NOUN
brj-24822	66	27	pretreatment	pretreatment	NOUN
brj-24822	66	28	.	.	PUNCT
brj-24822	67	1	according	accord	VERB
brj-24822	67	2	to	to	ADP
brj-24822	67	3	the	the	DET
brj-24822	67	4	report	report	NOUN
brj-24822	67	5	by	by	ADP
brj-24822	67	6	rodríguez	rodríguez	NOUN
brj-24822	67	7	et	et	PROPN
brj-24822	67	8	al	al	PROPN
brj-24822	67	9	.	.	PROPN
brj-24822	68	1	(	(	PUNCT
brj-24822	68	2	2017	2017	NUM
brj-24822	68	3	)	)	PUNCT
brj-24822	68	4	,	,	PUNCT
brj-24822	68	5	it	it	PRON
brj-24822	68	6	has	have	AUX
brj-24822	68	7	been	be	AUX
brj-24822	68	8	demonstrated	demonstrate	VERB
brj-24822	68	9	that	that	SCONJ
brj-24822	68	10	relatively	relatively	ADV
brj-24822	68	11	mild	mild	ADJ
brj-24822	68	12	steam	steam	NOUN
brj-24822	68	13	explosion	explosion	NOUN
brj-24822	68	14	conditions	condition	NOUN
brj-24822	68	15	(	(	PUNCT
brj-24822	68	16	pressure	pressure	NOUN
brj-24822	68	17	of	of	ADP
brj-24822	68	18	15	15	NUM
brj-24822	68	19	to	to	PART
brj-24822	68	20	25	25	NUM
brj-24822	68	21	bar	bar	NOUN
brj-24822	68	22	,	,	PUNCT
brj-24822	68	23	temperature	temperature	NOUN
brj-24822	68	24	of	of	ADP
brj-24822	68	25	200	200	NUM
brj-24822	68	26	to	to	PART
brj-24822	68	27	220	220	NUM
brj-24822	68	28	°	°	NOUN
brj-24822	68	29	c	c	NOUN
brj-24822	68	30	,	,	PUNCT
brj-24822	68	31	and	and	CCONJ
brj-24822	68	32	residence	residence	NOUN
brj-24822	68	33	time	time	NOUN
brj-24822	68	34	of	of	ADP
brj-24822	68	35	1	1	NUM
brj-24822	68	36	to	to	PART
brj-24822	68	37	5	5	NUM
brj-24822	68	38	minutes	minute	NOUN
brj-24822	68	39	)	)	PUNCT
brj-24822	68	40	can	can	AUX
brj-24822	68	41	still	still	ADV
brj-24822	68	42	enable	enable	VERB
brj-24822	68	43	high	high	ADJ
brj-24822	68	44	enzymatic	enzymatic	ADJ
brj-24822	68	45	hydrolysis	hydrolysis	NOUN
brj-24822	68	46	yields	yield	NOUN
brj-24822	68	47	.	.	PUNCT
brj-24822	69	1	peer	peer	NOUN
brj-24822	69	2	-	-	PUNCT
brj-24822	69	3	reviewed	review	VERB
brj-24822	69	4	article	article	NOUN
brj-24822	69	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	69	6	kim	kim	PROPN
brj-24822	69	7	et	et	PROPN
brj-24822	69	8	al	al	PROPN
brj-24822	69	9	.	.	PROPN
brj-24822	70	1	(	(	PUNCT
brj-24822	70	2	2025	2025	NUM
brj-24822	70	3	)	)	PUNCT
brj-24822	70	4	.	.	PUNCT
brj-24822	71	1	“	"	PUNCT
brj-24822	71	2	steam	steam	NOUN
brj-24822	71	3	&	&	CCONJ
brj-24822	71	4	naoh	naoh	PROPN
brj-24822	71	5	pretreatments	pretreatment	NOUN
brj-24822	71	6	,	,	PUNCT
brj-24822	71	7	”	"	PUNCT
brj-24822	71	8	bioresources	bioresource	VERB
brj-24822	71	9	20(4	20(4	NOUN
brj-24822	71	10	)	)	PUNCT
brj-24822	71	11	,	,	PUNCT
brj-24822	71	12	8400	8400	NUM
brj-24822	71	13	-	-	SYM
brj-24822	71	14	8419	8419	NUM
brj-24822	71	15	.	.	PUNCT
brj-24822	72	1	8403	8403	NUM
brj-24822	72	2	chemical	chemical	ADJ
brj-24822	72	3	pretreatment	pretreatment	NOUN
brj-24822	72	4	of	of	ADP
brj-24822	72	5	steam	steam	NOUN
brj-24822	72	6	explosion	explosion	NOUN
brj-24822	72	7	samples	sample	VERB
brj-24822	72	8	the	the	DET
brj-24822	72	9	alkaline	alkaline	NOUN
brj-24822	72	10	pretreatment	pretreatment	NOUN
brj-24822	72	11	was	be	AUX
brj-24822	72	12	conducted	conduct	VERB
brj-24822	72	13	using	use	VERB
brj-24822	72	14	a	a	DET
brj-24822	72	15	modified	modify	VERB
brj-24822	72	16	version	version	NOUN
brj-24822	72	17	of	of	ADP
brj-24822	72	18	the	the	DET
brj-24822	72	19	method	method	NOUN
brj-24822	72	20	described	describe	VERB
brj-24822	72	21	by	by	ADP
brj-24822	72	22	gunam	gunam	PROPN
brj-24822	72	23	et	et	PROPN
brj-24822	72	24	al	al	PROPN
brj-24822	72	25	.	.	PROPN
brj-24822	73	1	(	(	PUNCT
brj-24822	73	2	2020	2020	NUM
brj-24822	73	3	)	)	PUNCT
brj-24822	73	4	.	.	PUNCT
brj-24822	74	1	the	the	DET
brj-24822	74	2	steam	steam	NOUN
brj-24822	74	3	exploded	explode	VERB
brj-24822	74	4	samples	sample	NOUN
brj-24822	74	5	were	be	AUX
brj-24822	74	6	pretreated	pretreate	VERB
brj-24822	74	7	with	with	ADP
brj-24822	74	8	different	different	ADJ
brj-24822	74	9	concentrations	concentration	NOUN
brj-24822	74	10	of	of	ADP
brj-24822	74	11	naoh	naoh	NOUN
brj-24822	74	12	to	to	PART
brj-24822	74	13	increase	increase	VERB
brj-24822	74	14	the	the	DET
brj-24822	74	15	enzymatic	enzymatic	ADJ
brj-24822	74	16	hydrolysis	hydrolysis	NOUN
brj-24822	74	17	rate	rate	NOUN
brj-24822	74	18	.	.	PUNCT
brj-24822	75	1	different	different	ADJ
brj-24822	75	2	concentrations	concentration	NOUN
brj-24822	75	3	of	of	ADP
brj-24822	75	4	naoh	naoh	NOUN
brj-24822	75	5	(	(	PUNCT
brj-24822	75	6	0.5	0.5	NUM
brj-24822	75	7	-	-	SYM
brj-24822	75	8	2	2	NUM
brj-24822	75	9	%	%	NOUN
brj-24822	75	10	)	)	PUNCT
brj-24822	75	11	were	be	AUX
brj-24822	75	12	used	use	VERB
brj-24822	75	13	for	for	ADP
brj-24822	75	14	pretreatment	pretreatment	NOUN
brj-24822	75	15	.	.	PUNCT
brj-24822	76	1	sample	sample	NOUN
brj-24822	76	2	and	and	CCONJ
brj-24822	76	3	solvent	solvent	NOUN
brj-24822	76	4	were	be	AUX
brj-24822	76	5	mixed	mix	VERB
brj-24822	76	6	in	in	ADP
brj-24822	76	7	a	a	DET
brj-24822	76	8	1:20	1:20	NUM
brj-24822	76	9	ratio	ratio	NOUN
brj-24822	76	10	in	in	ADP
brj-24822	76	11	a	a	DET
brj-24822	76	12	300	300	NUM
brj-24822	76	13	ml	ml	NOUN
brj-24822	76	14	triangular	triangular	NOUN
brj-24822	76	15	flask	flask	NOUN
brj-24822	76	16	.	.	PUNCT
brj-24822	77	1	pretreatment	pretreatment	NOUN
brj-24822	77	2	was	be	AUX
brj-24822	77	3	carried	carry	VERB
brj-24822	77	4	out	out	ADP
brj-24822	77	5	for	for	ADP
brj-24822	77	6	12	12	NUM
brj-24822	77	7	to	to	PART
brj-24822	77	8	24	24	NUM
brj-24822	77	9	h	h	NOUN
brj-24822	77	10	at	at	ADP
brj-24822	77	11	room	room	NOUN
brj-24822	77	12	temperature	temperature	NOUN
brj-24822	77	13	at	at	ADP
brj-24822	77	14	rest	rest	NOUN
brj-24822	77	15	.	.	PUNCT
brj-24822	78	1	after	after	ADP
brj-24822	78	2	pretreatment	pretreatment	NOUN
brj-24822	78	3	,	,	PUNCT
brj-24822	78	4	the	the	DET
brj-24822	78	5	residue	residue	NOUN
brj-24822	78	6	was	be	AUX
brj-24822	78	7	filtered	filter	VERB
brj-24822	78	8	through	through	ADP
brj-24822	78	9	whatman	whatman	NOUN
brj-24822	78	10	filter	filter	NOUN
brj-24822	78	11	paper	paper	NOUN
brj-24822	78	12	no	no	NOUN
brj-24822	78	13	.	.	NOUN
brj-24822	78	14	2	2	NUM
brj-24822	78	15	and	and	CCONJ
brj-24822	78	16	washed	wash	VERB
brj-24822	78	17	with	with	ADP
brj-24822	78	18	distilled	distil	VERB
brj-24822	78	19	water	water	NOUN
brj-24822	78	20	until	until	SCONJ
brj-24822	78	21	the	the	DET
brj-24822	78	22	ph	ph	NOUN
brj-24822	78	23	was	be	AUX
brj-24822	78	24	neutral	neutral	ADJ
brj-24822	78	25	.	.	PUNCT
brj-24822	79	1	the	the	DET
brj-24822	79	2	neutralized	neutralize	VERB
brj-24822	79	3	sample	sample	NOUN
brj-24822	79	4	was	be	AUX
brj-24822	79	5	used	use	VERB
brj-24822	79	6	for	for	ADP
brj-24822	79	7	enzymatic	enzymatic	ADJ
brj-24822	79	8	hydrolysis	hydrolysis	NOUN
brj-24822	79	9	.	.	PUNCT
brj-24822	80	1	evaluate	evaluate	VERB
brj-24822	80	2	the	the	DET
brj-24822	80	3	microstructure	microstructure	NOUN
brj-24822	80	4	of	of	ADP
brj-24822	80	5	chemical	chemical	ADJ
brj-24822	80	6	pretreatment	pretreatment	NOUN
brj-24822	80	7	samples	sample	NOUN
brj-24822	80	8	scanning	scan	VERB
brj-24822	80	9	electron	electron	NOUN
brj-24822	80	10	microscopy	microscopy	NOUN
brj-24822	80	11	(	(	PUNCT
brj-24822	80	12	sem	sem	NOUN
brj-24822	80	13	)	)	PUNCT
brj-24822	80	14	(	(	PUNCT
brj-24822	80	15	zeiss	zeiss	PROPN
brj-24822	80	16	gemini	gemini	PROPN
brj-24822	80	17	300	300	NUM
brj-24822	80	18	,	,	PUNCT
brj-24822	80	19	germany	germany	PROPN
brj-24822	80	20	)	)	PUNCT
brj-24822	80	21	was	be	AUX
brj-24822	80	22	used	use	VERB
brj-24822	80	23	to	to	PART
brj-24822	80	24	evaluate	evaluate	VERB
brj-24822	80	25	the	the	DET
brj-24822	80	26	surface	surface	NOUN
brj-24822	80	27	microstructure	microstructure	NOUN
brj-24822	80	28	of	of	ADP
brj-24822	80	29	steam	steam	NOUN
brj-24822	80	30	explosion	explosion	NOUN
brj-24822	80	31	treated	treat	VERB
brj-24822	80	32	pine	pine	NOUN
brj-24822	80	33	chips	chip	NOUN
brj-24822	80	34	after	after	ADP
brj-24822	80	35	chemical	chemical	NOUN
brj-24822	80	36	pretreatment	pretreatment	NOUN
brj-24822	80	37	.	.	PUNCT
brj-24822	81	1	samples	sample	NOUN
brj-24822	81	2	were	be	AUX
brj-24822	81	3	mounted	mount	VERB
brj-24822	81	4	on	on	ADP
brj-24822	81	5	a	a	DET
brj-24822	81	6	stub	stub	NOUN
brj-24822	81	7	using	use	VERB
brj-24822	81	8	a	a	DET
brj-24822	81	9	conductive	conductive	ADJ
brj-24822	81	10	thermoplastic	thermoplastic	NOUN
brj-24822	81	11	adhesive	adhesive	NOUN
brj-24822	81	12	,	,	PUNCT
brj-24822	81	13	coated	coat	VERB
brj-24822	81	14	with	with	ADP
brj-24822	81	15	pt	pt	NOUN
brj-24822	81	16	on	on	ADP
brj-24822	81	17	a	a	DET
brj-24822	81	18	polaron	polaron	NOUN
brj-24822	81	19	e	e	NOUN
brj-24822	81	20	5000	5000	NUM
brj-24822	81	21	sputter	sputter	NOUN
brj-24822	81	22	coating	coat	VERB
brj-24822	81	23	unit	unit	NOUN
brj-24822	81	24	and	and	CCONJ
brj-24822	81	25	evaluated	evaluate	VERB
brj-24822	81	26	using	use	VERB
brj-24822	81	27	scanning	scan	VERB
brj-24822	81	28	electron	electron	NOUN
brj-24822	81	29	microscopy	microscopy	NOUN
brj-24822	81	30	.	.	PUNCT
brj-24822	82	1	the	the	DET
brj-24822	82	2	analysis	analysis	NOUN
brj-24822	82	3	was	be	AUX
brj-24822	82	4	performed	perform	VERB
brj-24822	82	5	at	at	ADP
brj-24822	82	6	an	an	DET
brj-24822	82	7	accelerating	accelerate	VERB
brj-24822	82	8	voltage	voltage	NOUN
brj-24822	82	9	of	of	ADP
brj-24822	82	10	5	5	NUM
brj-24822	82	11	kv	kv	X
brj-24822	82	12	.	.	PUNCT
brj-24822	83	1	enzymatic	enzymatic	ADJ
brj-24822	83	2	hydrolysis	hydrolysis	NOUN
brj-24822	83	3	the	the	DET
brj-24822	83	4	enzymatic	enzymatic	ADJ
brj-24822	83	5	hydrolysis	hydrolysis	NOUN
brj-24822	83	6	was	be	AUX
brj-24822	83	7	performed	perform	VERB
brj-24822	83	8	using	use	VERB
brj-24822	83	9	a	a	DET
brj-24822	83	10	modified	modify	VERB
brj-24822	83	11	version	version	NOUN
brj-24822	83	12	of	of	ADP
brj-24822	83	13	the	the	DET
brj-24822	83	14	method	method	NOUN
brj-24822	83	15	described	describe	VERB
brj-24822	83	16	by	by	ADP
brj-24822	83	17	bhalla	bhalla	PROPN
brj-24822	83	18	et	et	PROPN
brj-24822	83	19	al	al	PROPN
brj-24822	83	20	.	.	PROPN
brj-24822	84	1	(	(	PUNCT
brj-24822	84	2	2018	2018	NUM
brj-24822	84	3	)	)	PUNCT
brj-24822	84	4	.	.	PUNCT
brj-24822	85	1	chemically	chemically	ADV
brj-24822	85	2	pretreated	pretreate	VERB
brj-24822	85	3	steam	steam	NOUN
brj-24822	85	4	explosion	explosion	NOUN
brj-24822	85	5	samples	sample	NOUN
brj-24822	85	6	were	be	AUX
brj-24822	85	7	placed	place	VERB
brj-24822	85	8	in	in	ADP
brj-24822	85	9	1	1	NUM
brj-24822	85	10	g	g	NOUN
brj-24822	85	11	in	in	ADP
brj-24822	85	12	a	a	DET
brj-24822	85	13	30	30	NUM
brj-24822	85	14	ml	ml	NOUN
brj-24822	85	15	test	test	NOUN
brj-24822	85	16	tube	tube	NOUN
brj-24822	85	17	for	for	ADP
brj-24822	85	18	enzymatic	enzymatic	ADJ
brj-24822	85	19	hydrolysis	hydrolysis	NOUN
brj-24822	85	20	and	and	CCONJ
brj-24822	85	21	autoclaved	autoclave	VERB
brj-24822	85	22	at	at	ADP
brj-24822	85	23	121	121	NUM
brj-24822	85	24	°	°	ADP
brj-24822	85	25	c	c	NOUN
brj-24822	85	26	for	for	ADP
brj-24822	85	27	30	30	NUM
brj-24822	85	28	min	min	NOUN
brj-24822	85	29	.	.	NOUN
brj-24822	85	30	after	after	ADP
brj-24822	85	31	autoclaving	autoclave	VERB
brj-24822	85	32	,	,	PUNCT
brj-24822	85	33	the	the	DET
brj-24822	85	34	sample	sample	NOUN
brj-24822	85	35	was	be	AUX
brj-24822	85	36	allowed	allow	VERB
brj-24822	85	37	to	to	PART
brj-24822	85	38	air	air	VERB
brj-24822	85	39	dry	dry	VERB
brj-24822	85	40	on	on	ADP
brj-24822	85	41	a	a	DET
brj-24822	85	42	clean	clean	ADJ
brj-24822	85	43	bench	bench	NOUN
brj-24822	85	44	.	.	PUNCT
brj-24822	86	1	buffer	buffer	NOUN
brj-24822	86	2	was	be	AUX
brj-24822	86	3	prepared	prepare	VERB
brj-24822	86	4	with	with	ADP
brj-24822	86	5	na	na	NOUN
brj-24822	86	6	-	-	PUNCT
brj-24822	86	7	citrate	citrate	NOUN
brj-24822	86	8	buffer	buffer	NOUN
brj-24822	86	9	,	,	PUNCT
brj-24822	86	10	2	2	NUM
brj-24822	86	11	%	%	NOUN
brj-24822	86	12	sodium	sodium	NOUN
brj-24822	86	13	azide	azide	NOUN
brj-24822	86	14	,	,	PUNCT
brj-24822	86	15	and	and	CCONJ
brj-24822	86	16	tween	tween	NOUN
brj-24822	86	17	80	80	NUM
brj-24822	86	18	(	(	PUNCT
brj-24822	86	19	polysorbate	polysorbate	NOUN
brj-24822	86	20	80	80	NUM
brj-24822	86	21	)	)	PUNCT
brj-24822	86	22	.	.	PUNCT
brj-24822	87	1	ten	ten	NUM
brj-24822	87	2	ml	ml	NOUN
brj-24822	87	3	of	of	ADP
brj-24822	87	4	the	the	DET
brj-24822	87	5	buffer	buffer	NOUN
brj-24822	87	6	was	be	AUX
brj-24822	87	7	added	add	VERB
brj-24822	87	8	to	to	ADP
brj-24822	87	9	a	a	DET
brj-24822	87	10	test	test	NOUN
brj-24822	87	11	tube	tube	NOUN
brj-24822	87	12	and	and	CCONJ
brj-24822	87	13	hydrolyzed	hydrolyze	VERB
brj-24822	87	14	by	by	ADP
brj-24822	87	15	adding	add	VERB
brj-24822	87	16	cellic	cellic	ADJ
brj-24822	87	17	ctec3	ctec3	NOUN
brj-24822	87	18	(	(	PUNCT
brj-24822	87	19	novozymes	novozyme	NOUN
brj-24822	87	20	,	,	PUNCT
brj-24822	87	21	denmark	denmark	PROPN
brj-24822	87	22	)	)	PUNCT
brj-24822	87	23	440fpu	440fpu	X
brj-24822	87	24	/	/	SYM
brj-24822	87	25	glucan	glucan	NOUN
brj-24822	87	26	.	.	PUNCT
brj-24822	88	1	after	after	ADP
brj-24822	88	2	hydrolyzing	hydrolyze	VERB
brj-24822	88	3	at	at	ADP
brj-24822	88	4	50	50	NUM
brj-24822	88	5	°	°	NOUN
brj-24822	88	6	c	c	NOUN
brj-24822	88	7	,	,	PUNCT
brj-24822	88	8	210	210	NUM
brj-24822	88	9	rpm	rpm	NOUN
brj-24822	88	10	,	,	PUNCT
brj-24822	88	11	for	for	ADP
brj-24822	88	12	72	72	NUM
brj-24822	88	13	hours	hour	NOUN
brj-24822	88	14	,	,	PUNCT
brj-24822	88	15	the	the	DET
brj-24822	88	16	hydrolysate	hydrolysate	NOUN
brj-24822	88	17	was	be	AUX
brj-24822	88	18	filtered	filter	VERB
brj-24822	88	19	through	through	ADP
brj-24822	88	20	a	a	DET
brj-24822	88	21	2g3	2g3	NUM
brj-24822	88	22	glass	glass	NOUN
brj-24822	88	23	filter	filter	NOUN
brj-24822	88	24	.	.	PUNCT
brj-24822	89	1	after	after	ADP
brj-24822	89	2	hydrolysis	hydrolysis	NOUN
brj-24822	89	3	,	,	PUNCT
brj-24822	89	4	the	the	DET
brj-24822	89	5	residue	residue	NOUN
brj-24822	89	6	was	be	AUX
brj-24822	89	7	dried	dry	VERB
brj-24822	89	8	at	at	ADP
brj-24822	89	9	105	105	NUM
brj-24822	89	10	±	±	NUM
brj-24822	89	11	3	3	NUM
brj-24822	89	12	°	°	ADP
brj-24822	89	13	c	c	NOUN
brj-24822	89	14	until	until	ADP
brj-24822	89	15	constant	constant	ADJ
brj-24822	89	16	weight	weight	NOUN
brj-24822	89	17	and	and	CCONJ
brj-24822	89	18	then	then	ADV
brj-24822	89	19	weighed	weigh	VERB
brj-24822	89	20	to	to	PART
brj-24822	89	21	calculate	calculate	VERB
brj-24822	89	22	the	the	DET
brj-24822	89	23	rate	rate	NOUN
brj-24822	89	24	of	of	ADP
brj-24822	89	25	enzymatic	enzymatic	ADJ
brj-24822	89	26	hydrolysis	hydrolysis	NOUN
brj-24822	89	27	.	.	PUNCT
brj-24822	90	1	machine	machine	NOUN
brj-24822	90	2	learning	learning	NOUN
brj-24822	90	3	and	and	CCONJ
brj-24822	90	4	optimization	optimization	NOUN
brj-24822	90	5	approach	approach	NOUN
brj-24822	90	6	ann	ann	PROPN
brj-24822	90	7	modeling	model	VERB
brj-24822	90	8	the	the	DET
brj-24822	90	9	ann	ann	PROPN
brj-24822	90	10	was	be	AUX
brj-24822	90	11	implemented	implement	VERB
brj-24822	90	12	using	use	VERB
brj-24822	90	13	the	the	DET
brj-24822	90	14	tesnsorflow	tesnsorflow	NOUN
brj-24822	90	15	package	package	NOUN
brj-24822	90	16	(	(	PUNCT
brj-24822	90	17	abadi	abadi	PROPN
brj-24822	90	18	et	et	PROPN
brj-24822	90	19	al	al	PROPN
brj-24822	90	20	.	.	PROPN
brj-24822	90	21	2016	2016	NUM
brj-24822	90	22	)	)	PUNCT
brj-24822	90	23	,	,	PUNCT
brj-24822	90	24	keras	keras	PROPN
brj-24822	90	25	package	package	NOUN
brj-24822	90	26	and	and	CCONJ
brj-24822	90	27	scikit	scikit	NOUN
brj-24822	90	28	-	-	PUNCT
brj-24822	90	29	learn	learn	NOUN
brj-24822	90	30	package	package	NOUN
brj-24822	90	31	of	of	ADP
brj-24822	90	32	programs	program	NOUN
brj-24822	90	33	for	for	ADP
brj-24822	90	34	learning	learn	VERB
brj-24822	90	35	from	from	ADP
brj-24822	90	36	experimental	experimental	ADJ
brj-24822	90	37	data	datum	NOUN
brj-24822	90	38	(	(	PUNCT
brj-24822	90	39	python	python	NOUN
brj-24822	90	40	3	3	NUM
brj-24822	90	41	.	.	PROPN
brj-24822	90	42	10.6	10.6	NUM
brj-24822	90	43	)	)	PUNCT
brj-24822	90	44	.	.	PUNCT
brj-24822	91	1	enzymatic	enzymatic	ADJ
brj-24822	91	2	degradation	degradation	NOUN
brj-24822	91	3	rates	rate	NOUN
brj-24822	91	4	under	under	ADP
brj-24822	91	5	different	different	ADJ
brj-24822	91	6	treatment	treatment	NOUN
brj-24822	91	7	conditions	condition	NOUN
brj-24822	91	8	(	(	PUNCT
brj-24822	91	9	steam	steam	NOUN
brj-24822	91	10	explosion	explosion	NOUN
brj-24822	91	11	time	time	NOUN
brj-24822	91	12	,	,	PUNCT
brj-24822	91	13	chemical	chemical	NOUN
brj-24822	91	14	pretreatment	pretreatment	NOUN
brj-24822	91	15	time	time	NOUN
brj-24822	91	16	,	,	PUNCT
brj-24822	91	17	chemical	chemical	NOUN
brj-24822	91	18	concentration	concentration	NOUN
brj-24822	91	19	)	)	PUNCT
brj-24822	91	20	were	be	AUX
brj-24822	91	21	predicted	predict	VERB
brj-24822	91	22	using	use	VERB
brj-24822	91	23	a	a	DET
brj-24822	91	24	multilayer	multilayer	ADJ
brj-24822	91	25	back	back	ADJ
brj-24822	91	26	-	-	PUNCT
brj-24822	91	27	propagation	propagation	NOUN
brj-24822	91	28	neural	neural	ADJ
brj-24822	91	29	network	network	NOUN
brj-24822	91	30	.	.	PUNCT
brj-24822	92	1	the	the	DET
brj-24822	92	2	network	network	NOUN
brj-24822	92	3	architecture	architecture	NOUN
brj-24822	92	4	has	have	VERB
brj-24822	92	5	three	three	NUM
brj-24822	92	6	input	input	NOUN
brj-24822	92	7	variables	variable	NOUN
brj-24822	92	8	:	:	PUNCT
brj-24822	92	9	steam	steam	NOUN
brj-24822	92	10	explosion	explosion	NOUN
brj-24822	92	11	time	time	NOUN
brj-24822	92	12	(	(	PUNCT
brj-24822	92	13	1	1	NUM
brj-24822	92	14	,	,	PUNCT
brj-24822	92	15	3	3	NUM
brj-24822	92	16	,	,	PUNCT
brj-24822	92	17	5	5	NUM
brj-24822	92	18	min	min	NOUN
brj-24822	92	19	)	)	PUNCT
brj-24822	92	20	,	,	PUNCT
brj-24822	92	21	chemical	chemical	NOUN
brj-24822	92	22	pretreatment	pretreatment	NOUN
brj-24822	92	23	time	time	NOUN
brj-24822	92	24	(	(	PUNCT
brj-24822	92	25	12h	12h	NUM
brj-24822	92	26	,	,	PUNCT
brj-24822	92	27	24h	24h	NOUN
brj-24822	92	28	)	)	PUNCT
brj-24822	92	29	and	and	CCONJ
brj-24822	92	30	chemical	chemical	NOUN
brj-24822	92	31	concentration	concentration	NOUN
brj-24822	92	32	(	(	PUNCT
brj-24822	92	33	0.5	0.5	NUM
brj-24822	92	34	,	,	PUNCT
brj-24822	92	35	1	1	NUM
brj-24822	92	36	,	,	PUNCT
brj-24822	92	37	2	2	NUM
brj-24822	92	38	%	%	NOUN
brj-24822	92	39	)	)	PUNCT
brj-24822	92	40	.	.	PUNCT
brj-24822	93	1	there	there	PRON
brj-24822	93	2	was	be	VERB
brj-24822	93	3	one	one	NUM
brj-24822	93	4	output	output	NOUN
brj-24822	93	5	variable	variable	NOUN
brj-24822	93	6	:	:	PUNCT
brj-24822	93	7	enzymatic	enzymatic	ADJ
brj-24822	93	8	hydrolysis	hydrolysis	NOUN
brj-24822	93	9	rate	rate	NOUN
brj-24822	93	10	.	.	PUNCT
brj-24822	94	1	all	all	DET
brj-24822	94	2	conditions	condition	NOUN
brj-24822	94	3	were	be	AUX
brj-24822	94	4	measured	measure	VERB
brj-24822	94	5	in	in	ADP
brj-24822	94	6	triplicate	triplicate	NOUN
brj-24822	94	7	,	,	PUNCT
brj-24822	94	8	yielding	yield	VERB
brj-24822	94	9	a	a	DET
brj-24822	94	10	total	total	NOUN
brj-24822	94	11	of	of	ADP
brj-24822	94	12	108	108	NUM
brj-24822	94	13	data	datum	NOUN
brj-24822	94	14	points	point	NOUN
brj-24822	94	15	.	.	PUNCT
brj-24822	95	1	the	the	DET
brj-24822	95	2	data	datum	NOUN
brj-24822	95	3	collected	collect	VERB
brj-24822	95	4	were	be	AUX
brj-24822	95	5	subsequently	subsequently	ADV
brj-24822	95	6	divided	divide	VERB
brj-24822	95	7	into	into	ADP
brj-24822	95	8	two	two	NUM
brj-24822	95	9	equal	equal	ADJ
brj-24822	95	10	segments	segment	NOUN
brj-24822	95	11	:	:	PUNCT
brj-24822	95	12	80	80	NUM
brj-24822	95	13	%	%	NOUN
brj-24822	95	14	was	be	AUX
brj-24822	95	15	allocated	allocate	VERB
brj-24822	95	16	for	for	ADP
brj-24822	95	17	training	training	NOUN
brj-24822	95	18	,	,	PUNCT
brj-24822	95	19	while	while	SCONJ
brj-24822	95	20	the	the	DET
brj-24822	95	21	remaining	remain	VERB
brj-24822	95	22	20	20	NUM
brj-24822	95	23	%	%	NOUN
brj-24822	95	24	was	be	AUX
brj-24822	95	25	designated	designate	VERB
brj-24822	95	26	for	for	ADP
brj-24822	95	27	testing	testing	NOUN
brj-24822	95	28	purposes	purpose	NOUN
brj-24822	95	29	.	.	PUNCT
brj-24822	96	1	the	the	DET
brj-24822	96	2	model	model	NOUN
brj-24822	96	3	was	be	AUX
brj-24822	96	4	trained	train	VERB
brj-24822	96	5	using	use	VERB
brj-24822	96	6	the	the	DET
brj-24822	96	7	k	k	ADJ
brj-24822	96	8	-	-	ADJ
brj-24822	96	9	fold	fold	ADJ
brj-24822	96	10	validation	validation	NOUN
brj-24822	96	11	method	method	NOUN
brj-24822	96	12	.	.	PUNCT
brj-24822	97	1	ann	ann	PROPN
brj-24822	97	2	hyperparameter	hyperparameter	PROPN
brj-24822	97	3	optimization	optimization	PROPN
brj-24822	97	4	a	a	DET
brj-24822	97	5	keras	keras	PROPN
brj-24822	97	6	tuner	tuner	NOUN
brj-24822	97	7	was	be	AUX
brj-24822	97	8	used	use	VERB
brj-24822	97	9	to	to	PART
brj-24822	97	10	optimize	optimize	VERB
brj-24822	97	11	the	the	DET
brj-24822	97	12	hyperparameters	hyperparameter	NOUN
brj-24822	97	13	of	of	ADP
brj-24822	97	14	an	an	DET
brj-24822	97	15	artificial	artificial	ADJ
brj-24822	97	16	neural	neural	ADJ
brj-24822	97	17	network	network	NOUN
brj-24822	97	18	(	(	PUNCT
brj-24822	97	19	saleh	saleh	NOUN
brj-24822	97	20	et	et	PROPN
brj-24822	97	21	al	al	PROPN
brj-24822	97	22	.	.	PROPN
brj-24822	97	23	2022	2022	NUM
brj-24822	97	24	)	)	PUNCT
brj-24822	97	25	.	.	PUNCT
brj-24822	98	1	this	this	PRON
brj-24822	98	2	was	be	AUX
brj-24822	98	3	done	do	VERB
brj-24822	98	4	using	use	VERB
brj-24822	98	5	keras	keras	PROPN
brj-24822	98	6	tuner	tuner	PROPN
brj-24822	98	7	randomsearchcv	randomsearchcv	PROPN
brj-24822	98	8	,	,	PUNCT
brj-24822	98	9	randomizing	randomize	VERB
brj-24822	98	10	the	the	DET
brj-24822	98	11	number	number	NOUN
brj-24822	98	12	of	of	ADP
brj-24822	98	13	hidden	hidden	ADJ
brj-24822	98	14	layers	layer	NOUN
brj-24822	98	15	,	,	PUNCT
brj-24822	98	16	number	number	NOUN
brj-24822	98	17	of	of	ADP
brj-24822	98	18	neurons	neuron	NOUN
brj-24822	98	19	,	,	PUNCT
brj-24822	98	20	and	and	CCONJ
brj-24822	98	21	dropout	dropout	NOUN
brj-24822	98	22	rate	rate	NOUN
brj-24822	98	23	to	to	PART
brj-24822	98	24	find	find	VERB
brj-24822	98	25	the	the	DET
brj-24822	98	26	values	value	NOUN
brj-24822	98	27	with	with	ADP
brj-24822	98	28	the	the	DET
brj-24822	98	29	best	good	ADJ
brj-24822	98	30	model	model	NOUN
brj-24822	98	31	performance	performance	NOUN
brj-24822	98	32	.	.	PUNCT
brj-24822	99	1	the	the	DET
brj-24822	99	2	search	search	NOUN
brj-24822	99	3	ranges	range	VERB
brj-24822	99	4	for	for	SCONJ
brj-24822	99	5	each	each	DET
brj-24822	99	6	hyperparameter	hyperparameter	NOUN
brj-24822	99	7	are	be	AUX
brj-24822	99	8	summarized	summarize	VERB
brj-24822	99	9	in	in	ADP
brj-24822	99	10	table	table	NOUN
brj-24822	99	11	1	1	NUM
brj-24822	99	12	.	.	PUNCT
brj-24822	99	13	peer	peer	NOUN
brj-24822	99	14	-	-	PUNCT
brj-24822	99	15	reviewed	review	VERB
brj-24822	99	16	article	article	NOUN
brj-24822	99	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	99	18	kim	kim	PROPN
brj-24822	99	19	et	et	PROPN
brj-24822	99	20	al	al	PROPN
brj-24822	99	21	.	.	PROPN
brj-24822	100	1	(	(	PUNCT
brj-24822	100	2	2025	2025	NUM
brj-24822	100	3	)	)	PUNCT
brj-24822	100	4	.	.	PUNCT
brj-24822	101	1	“	"	PUNCT
brj-24822	101	2	steam	steam	NOUN
brj-24822	101	3	&	&	CCONJ
brj-24822	101	4	naoh	naoh	PROPN
brj-24822	101	5	pretreatments	pretreatment	NOUN
brj-24822	101	6	,	,	PUNCT
brj-24822	101	7	”	"	PUNCT
brj-24822	101	8	bioresources	bioresource	VERB
brj-24822	101	9	20(4	20(4	NOUN
brj-24822	101	10	)	)	PUNCT
brj-24822	101	11	,	,	PUNCT
brj-24822	101	12	8400	8400	NUM
brj-24822	101	13	-	-	SYM
brj-24822	101	14	8419	8419	NUM
brj-24822	101	15	.	.	PUNCT
brj-24822	102	1	8404	8404	NUM
brj-24822	102	2	table	table	NOUN
brj-24822	102	3	1	1	NUM
brj-24822	102	4	.	.	PUNCT
brj-24822	103	1	scope	scope	NOUN
brj-24822	103	2	of	of	ADP
brj-24822	103	3	hyperparameter	hyperparameter	NOUN
brj-24822	103	4	exploration	exploration	NOUN
brj-24822	103	5	in	in	ADP
brj-24822	103	6	ann	ann	PROPN
brj-24822	103	7	models	model	NOUN
brj-24822	103	8	hyperparameters	hyperparameter	VERB
brj-24822	103	9	range	range	NOUN
brj-24822	103	10	number	number	NOUN
brj-24822	103	11	of	of	ADP
brj-24822	103	12	hidden	hidden	ADJ
brj-24822	103	13	layers	layer	NOUN
brj-24822	103	14	1	1	NUM
brj-24822	103	15	to	to	ADP
brj-24822	103	16	3	3	NUM
brj-24822	103	17	units	unit	NOUN
brj-24822	103	18	per	per	ADP
brj-24822	103	19	layer	layer	NOUN
brj-24822	103	20	8	8	NUM
brj-24822	103	21	to	to	ADP
brj-24822	103	22	64	64	NUM
brj-24822	103	23	dropout	dropout	NOUN
brj-24822	103	24	rate	rate	NOUN
brj-24822	103	25	0.0	0.0	NUM
brj-24822	103	26	to	to	PART
brj-24822	103	27	0.3	0.3	NUM
brj-24822	103	28	optimizer	optimizer	NOUN
brj-24822	103	29	adam	adam	NOUN
brj-24822	103	30	,	,	PUNCT
brj-24822	103	31	rmsprop	rmsprop	NOUN
brj-24822	103	32	,	,	PUNCT
brj-24822	103	33	sgd	sgd	NOUN
brj-24822	103	34	learning	learning	NOUN
brj-24822	103	35	rate	rate	NOUN
brj-24822	103	36	0.01	0.01	NUM
brj-24822	103	37	,	,	PUNCT
brj-24822	103	38	0.001	0.001	NUM
brj-24822	103	39	,	,	PUNCT
brj-24822	103	40	0.0001	0.0001	NUM
brj-24822	103	41	batchnorm	batchnorm	NOUN
brj-24822	103	42	true	true	ADJ
brj-24822	103	43	,	,	PUNCT
brj-24822	103	44	false	false	ADJ
brj-24822	103	45	adjustments	adjustment	NOUN
brj-24822	103	46	were	be	AUX
brj-24822	103	47	made	make	VERB
brj-24822	103	48	of	of	ADP
brj-24822	103	49	the	the	DET
brj-24822	103	50	number	number	NOUN
brj-24822	103	51	of	of	ADP
brj-24822	103	52	hidden	hidden	ADJ
brj-24822	103	53	layers	layer	NOUN
brj-24822	103	54	(	(	PUNCT
brj-24822	103	55	1	1	NUM
brj-24822	103	56	to	to	PART
brj-24822	103	57	3	3	NUM
brj-24822	103	58	)	)	PUNCT
brj-24822	103	59	,	,	PUNCT
brj-24822	103	60	number	number	NOUN
brj-24822	103	61	of	of	ADP
brj-24822	103	62	neurons	neuron	NOUN
brj-24822	103	63	per	per	ADP
brj-24822	103	64	layer	layer	NOUN
brj-24822	103	65	(	(	PUNCT
brj-24822	103	66	8	8	NUM
brj-24822	103	67	to	to	ADP
brj-24822	103	68	64	64	NUM
brj-24822	103	69	)	)	PUNCT
brj-24822	103	70	,	,	PUNCT
brj-24822	103	71	and	and	CCONJ
brj-24822	103	72	dropout	dropout	NOUN
brj-24822	103	73	rate	rate	NOUN
brj-24822	103	74	(	(	PUNCT
brj-24822	103	75	0	0	NUM
brj-24822	103	76	to	to	ADP
brj-24822	103	77	0.3	0.3	NUM
brj-24822	103	78	)	)	PUNCT
brj-24822	103	79	.	.	PUNCT
brj-24822	104	1	the	the	DET
brj-24822	104	2	optimizer	optimizer	NOUN
brj-24822	104	3	of	of	ADP
brj-24822	104	4	choice	choice	NOUN
brj-24822	104	5	was	be	AUX
brj-24822	104	6	adam	adam	NOUN
brj-24822	104	7	,	,	PUNCT
brj-24822	104	8	rmsprop	rmsprop	NOUN
brj-24822	104	9	,	,	PUNCT
brj-24822	104	10	and	and	CCONJ
brj-24822	104	11	sgd	sgd	PROPN
brj-24822	104	12	,	,	PUNCT
brj-24822	104	13	with	with	ADP
brj-24822	104	14	learning	learn	VERB
brj-24822	104	15	rates	rate	NOUN
brj-24822	104	16	of	of	ADP
brj-24822	104	17	0.01	0.01	NUM
brj-24822	104	18	,	,	PUNCT
brj-24822	104	19	0.001	0.001	NUM
brj-24822	104	20	,	,	PUNCT
brj-24822	104	21	and	and	CCONJ
brj-24822	104	22	0.0001	0.0001	NUM
brj-24822	104	23	,	,	PUNCT
brj-24822	104	24	and	and	CCONJ
brj-24822	104	25	batch	batch	NOUN
brj-24822	104	26	normalization	normalization	NOUN
brj-24822	104	27	set	set	VERB
brj-24822	104	28	to	to	ADP
brj-24822	104	29	true	true	ADJ
brj-24822	104	30	and	and	CCONJ
brj-24822	104	31	false	false	ADJ
brj-24822	104	32	.	.	PUNCT
brj-24822	105	1	the	the	DET
brj-24822	105	2	objective	objective	ADJ
brj-24822	105	3	function	function	NOUN
brj-24822	105	4	was	be	AUX
brj-24822	105	5	mean	mean	VERB
brj-24822	105	6	squared	square	VERB
brj-24822	105	7	error	error	NOUN
brj-24822	105	8	(	(	PUNCT
brj-24822	105	9	mse	mse	NOUN
brj-24822	105	10	)	)	PUNCT
brj-24822	105	11	,	,	PUNCT
brj-24822	105	12	and	and	CCONJ
brj-24822	105	13	the	the	DET
brj-24822	105	14	hyperparameter	hyperparameter	NOUN
brj-24822	105	15	values	value	NOUN
brj-24822	105	16	that	that	PRON
brj-24822	105	17	minimize	minimize	VERB
brj-24822	105	18	the	the	DET
brj-24822	105	19	mse	mse	NOUN
brj-24822	105	20	value	value	NOUN
brj-24822	105	21	were	be	AUX
brj-24822	105	22	optimized	optimize	VERB
brj-24822	105	23	by	by	ADP
brj-24822	105	24	random	random	ADJ
brj-24822	105	25	search	search	NOUN
brj-24822	105	26	.	.	PUNCT
brj-24822	106	1	to	to	PART
brj-24822	106	2	assess	assess	VERB
brj-24822	106	3	the	the	DET
brj-24822	106	4	efficacy	efficacy	NOUN
brj-24822	106	5	of	of	ADP
brj-24822	106	6	the	the	DET
brj-24822	106	7	model	model	NOUN
brj-24822	106	8	,	,	PUNCT
brj-24822	106	9	a	a	DET
brj-24822	106	10	k	k	ADJ
brj-24822	106	11	-	-	ADJ
brj-24822	106	12	fold	fold	ADJ
brj-24822	106	13	cross	cross	NOUN
brj-24822	106	14	-	-	ADJ
brj-24822	106	15	validation	validation	NOUN
brj-24822	106	16	was	be	AUX
brj-24822	106	17	employed	employ	VERB
brj-24822	106	18	,	,	PUNCT
brj-24822	106	19	with	with	ADP
brj-24822	106	20	k	k	PROPN
brj-24822	106	21	set	set	VERB
brj-24822	106	22	at	at	ADP
brj-24822	106	23	5	5	NUM
brj-24822	106	24	.	.	PUNCT
brj-24822	107	1	each	each	DET
brj-24822	107	2	combination	combination	NOUN
brj-24822	107	3	was	be	AUX
brj-24822	107	4	subjected	subject	VERB
brj-24822	107	5	to	to	ADP
brj-24822	107	6	a	a	DET
brj-24822	107	7	training	training	NOUN
brj-24822	107	8	regime	regime	NOUN
brj-24822	107	9	comprising	comprise	VERB
brj-24822	107	10	500	500	NUM
brj-24822	107	11	epochs	epoch	NOUN
brj-24822	107	12	.	.	PUNCT
brj-24822	108	1	during	during	ADP
brj-24822	108	2	this	this	DET
brj-24822	108	3	training	training	NOUN
brj-24822	108	4	,	,	PUNCT
brj-24822	108	5	the	the	DET
brj-24822	108	6	loss	loss	NOUN
brj-24822	108	7	value	value	NOUN
brj-24822	108	8	(	(	PUNCT
brj-24822	108	9	mse	mse	NOUN
brj-24822	108	10	)	)	PUNCT
brj-24822	108	11	of	of	ADP
brj-24822	108	12	the	the	DET
brj-24822	108	13	validation	validation	NOUN
brj-24822	108	14	dataset	dataset	NOUN
brj-24822	108	15	was	be	AUX
brj-24822	108	16	meticulously	meticulously	ADV
brj-24822	108	17	monitored	monitor	VERB
brj-24822	108	18	.	.	PUNCT
brj-24822	109	1	early	early	ADJ
brj-24822	109	2	termination	termination	NOUN
brj-24822	109	3	of	of	ADP
brj-24822	109	4	the	the	DET
brj-24822	109	5	training	training	NOUN
brj-24822	109	6	process	process	NOUN
brj-24822	109	7	was	be	AUX
brj-24822	109	8	implemented	implement	VERB
brj-24822	109	9	if	if	SCONJ
brj-24822	109	10	the	the	DET
brj-24822	109	11	value	value	NOUN
brj-24822	109	12	remained	remain	VERB
brj-24822	109	13	static	static	ADJ
brj-24822	109	14	for	for	ADP
brj-24822	109	15	a	a	DET
brj-24822	109	16	period	period	NOUN
brj-24822	109	17	of	of	ADP
brj-24822	109	18	10	10	NUM
brj-24822	109	19	epochs	epoch	NOUN
brj-24822	109	20	.	.	PUNCT
brj-24822	110	1	evaluating	evaluate	VERB
brj-24822	110	2	ann	ann	PROPN
brj-24822	110	3	models	model	NOUN
brj-24822	110	4	to	to	PART
brj-24822	110	5	assess	assess	VERB
brj-24822	110	6	the	the	DET
brj-24822	110	7	comparative	comparative	ADJ
brj-24822	110	8	efficacy	efficacy	NOUN
brj-24822	110	9	of	of	ADP
brj-24822	110	10	ann	ann	PROPN
brj-24822	110	11	models	model	NOUN
brj-24822	110	12	,	,	PUNCT
brj-24822	110	13	three	three	NUM
brj-24822	110	14	machine	machine	NOUN
brj-24822	110	15	learning	learn	VERB
brj-24822	110	16	algorithms	algorithm	NOUN
brj-24822	110	17	were	be	AUX
brj-24822	110	18	selected	select	VERB
brj-24822	110	19	for	for	ADP
brj-24822	110	20	analysis	analysis	NOUN
brj-24822	110	21	.	.	PUNCT
brj-24822	111	1	random	random	ADJ
brj-24822	111	2	forest	forest	NOUN
brj-24822	111	3	(	(	PUNCT
brj-24822	111	4	rf	rf	NOUN
brj-24822	111	5	)	)	PUNCT
brj-24822	111	6	,	,	PUNCT
brj-24822	111	7	support	support	VERB
brj-24822	111	8	vector	vector	NOUN
brj-24822	111	9	regression	regression	NOUN
brj-24822	111	10	(	(	PUNCT
brj-24822	111	11	svr	svr	PROPN
brj-24822	111	12	)	)	PUNCT
brj-24822	111	13	,	,	PUNCT
brj-24822	111	14	and	and	CCONJ
brj-24822	111	15	extreme	extreme	ADJ
brj-24822	111	16	gradient	gradient	NOUN
brj-24822	111	17	boosting	boost	VERB
brj-24822	111	18	(	(	PUNCT
brj-24822	111	19	xgb	xgb	NUM
brj-24822	111	20	)	)	PUNCT
brj-24822	111	21	are	be	AUX
brj-24822	111	22	algorithms	algorithm	NOUN
brj-24822	111	23	frequently	frequently	ADV
brj-24822	111	24	employed	employ	VERB
brj-24822	111	25	in	in	ADP
brj-24822	111	26	regression	regression	NOUN
brj-24822	111	27	and	and	CCONJ
brj-24822	111	28	classification	classification	NOUN
brj-24822	111	29	problems	problem	NOUN
brj-24822	111	30	.	.	PUNCT
brj-24822	112	1	in	in	ADP
brj-24822	112	2	order	order	NOUN
brj-24822	112	3	to	to	PART
brj-24822	112	4	determine	determine	VERB
brj-24822	112	5	the	the	DET
brj-24822	112	6	possibility	possibility	NOUN
brj-24822	112	7	of	of	ADP
brj-24822	112	8	underfitting	underfitting	NOUN
brj-24822	112	9	and	and	CCONJ
brj-24822	112	10	overfitting	overfitting	NOUN
brj-24822	112	11	of	of	ADP
brj-24822	112	12	the	the	DET
brj-24822	112	13	ann	ann	PROPN
brj-24822	112	14	model	model	NOUN
brj-24822	112	15	,	,	PUNCT
brj-24822	112	16	the	the	DET
brj-24822	112	17	data	datum	NOUN
brj-24822	112	18	were	be	AUX
brj-24822	112	19	split	split	VERB
brj-24822	112	20	differently	differently	ADV
brj-24822	112	21	into	into	ADP
brj-24822	112	22	train	train	NOUN
brj-24822	112	23	75	75	NUM
brj-24822	112	24	%	%	NOUN
brj-24822	112	25	,	,	PUNCT
brj-24822	112	26	test	test	NOUN
brj-24822	112	27	25	25	NUM
brj-24822	112	28	%	%	NOUN
brj-24822	112	29	and	and	CCONJ
brj-24822	112	30	train	train	VERB
brj-24822	112	31	85	85	NUM
brj-24822	112	32	%	%	NOUN
brj-24822	112	33	,	,	PUNCT
brj-24822	112	34	test	test	NOUN
brj-24822	112	35	15	15	NUM
brj-24822	112	36	%	%	NOUN
brj-24822	112	37	,	,	PUNCT
brj-24822	112	38	and	and	CCONJ
brj-24822	112	39	evaluated	evaluate	VERB
brj-24822	112	40	the	the	DET
brj-24822	112	41	ann	ann	PROPN
brj-24822	112	42	model	model	NOUN
brj-24822	112	43	for	for	SCONJ
brj-24822	112	44	each	each	DET
brj-24822	112	45	data	datum	NOUN
brj-24822	112	46	split	split	VERB
brj-24822	112	47	.	.	PUNCT
brj-24822	113	1	the	the	DET
brj-24822	113	2	error	error	NOUN
brj-24822	113	3	can	can	AUX
brj-24822	113	4	be	be	AUX
brj-24822	113	5	calculated	calculate	VERB
brj-24822	113	6	by	by	ADP
brj-24822	113	7	comparing	compare	VERB
brj-24822	113	8	the	the	DET
brj-24822	113	9	difference	difference	NOUN
brj-24822	113	10	between	between	ADP
brj-24822	113	11	the	the	DET
brj-24822	113	12	predicted	predict	VERB
brj-24822	113	13	value	value	NOUN
brj-24822	113	14	and	and	CCONJ
brj-24822	113	15	the	the	DET
brj-24822	113	16	target	target	NOUN
brj-24822	113	17	value	value	NOUN
brj-24822	113	18	.	.	PUNCT
brj-24822	114	1	to	to	PART
brj-24822	114	2	minimize	minimize	VERB
brj-24822	114	3	the	the	DET
brj-24822	114	4	error	error	NOUN
brj-24822	114	5	in	in	ADP
brj-24822	114	6	the	the	DET
brj-24822	114	7	backpropagation	backpropagation	NOUN
brj-24822	114	8	algorithm	algorithm	NOUN
brj-24822	114	9	,	,	PUNCT
brj-24822	114	10	the	the	DET
brj-24822	114	11	weights	weight	NOUN
brj-24822	114	12	and	and	CCONJ
brj-24822	114	13	bias	bias	NOUN
brj-24822	114	14	values	value	NOUN
brj-24822	114	15	of	of	ADP
brj-24822	114	16	the	the	DET
brj-24822	114	17	previous	previous	ADJ
brj-24822	114	18	layer	layer	NOUN
brj-24822	114	19	and	and	CCONJ
brj-24822	114	20	the	the	DET
brj-24822	114	21	backpropagated	backpropagate	VERB
brj-24822	114	22	error	error	NOUN
brj-24822	114	23	were	be	AUX
brj-24822	114	24	readjusted	readjust	VERB
brj-24822	114	25	.	.	PUNCT
brj-24822	115	1	this	this	DET
brj-24822	115	2	iterative	iterative	NOUN
brj-24822	115	3	process	process	NOUN
brj-24822	115	4	enhances	enhance	VERB
brj-24822	115	5	the	the	DET
brj-24822	115	6	sequential	sequential	ADJ
brj-24822	115	7	model	model	NOUN
brj-24822	115	8	's	's	PART
brj-24822	115	9	performance	performance	NOUN
brj-24822	115	10	,	,	PUNCT
brj-24822	115	11	ensuring	ensure	VERB
brj-24822	115	12	precise	precise	ADJ
brj-24822	115	13	predictions	prediction	NOUN
brj-24822	115	14	for	for	ADP
brj-24822	115	15	novel	novel	ADJ
brj-24822	115	16	instances	instance	NOUN
brj-24822	115	17	.	.	PUNCT
brj-24822	116	1	the	the	DET
brj-24822	116	2	error	error	NOUN
brj-24822	116	3	evaluation	evaluation	NOUN
brj-24822	116	4	criteria	criterion	NOUN
brj-24822	116	5	considered	consider	VERB
brj-24822	116	6	are	be	AUX
brj-24822	116	7	mean	mean	ADJ
brj-24822	116	8	square	square	ADJ
brj-24822	116	9	error	error	NOUN
brj-24822	116	10	(	(	PUNCT
brj-24822	116	11	mse	mse	NOUN
brj-24822	116	12	)	)	PUNCT
brj-24822	116	13	and	and	CCONJ
brj-24822	116	14	coefficient	coefficient	NOUN
brj-24822	116	15	of	of	ADP
brj-24822	116	16	determination	determination	NOUN
brj-24822	116	17	(	(	PUNCT
brj-24822	116	18	r2	r2	PROPN
brj-24822	116	19	)	)	PUNCT
brj-24822	116	20	,	,	PUNCT
brj-24822	116	21	defined	define	VERB
brj-24822	116	22	as	as	SCONJ
brj-24822	116	23	follows	follow	VERB
brj-24822	116	24	(	(	PUNCT
brj-24822	116	25	chicco	chicco	X
brj-24822	116	26	et	et	PROPN
brj-24822	116	27	al	al	PROPN
brj-24822	116	28	.	.	PROPN
brj-24822	116	29	2021	2021	NUM
brj-24822	116	30	)	)	PUNCT
brj-24822	116	31	,	,	PUNCT
brj-24822	116	32	peer	peer	NOUN
brj-24822	116	33	-	-	PUNCT
brj-24822	116	34	reviewed	review	VERB
brj-24822	116	35	article	article	NOUN
brj-24822	116	36	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	116	37	kim	kim	PROPN
brj-24822	116	38	et	et	PROPN
brj-24822	116	39	al	al	PROPN
brj-24822	116	40	.	.	PROPN
brj-24822	117	1	(	(	PUNCT
brj-24822	117	2	2025	2025	NUM
brj-24822	117	3	)	)	PUNCT
brj-24822	117	4	.	.	PUNCT
brj-24822	118	1	“	"	PUNCT
brj-24822	118	2	steam	steam	NOUN
brj-24822	118	3	&	&	CCONJ
brj-24822	118	4	naoh	naoh	PROPN
brj-24822	118	5	pretreatments	pretreatment	NOUN
brj-24822	118	6	,	,	PUNCT
brj-24822	118	7	”	"	PUNCT
brj-24822	118	8	bioresources	bioresource	VERB
brj-24822	118	9	20(4	20(4	NOUN
brj-24822	118	10	)	)	PUNCT
brj-24822	118	11	,	,	PUNCT
brj-24822	118	12	8400	8400	NUM
brj-24822	118	13	-	-	SYM
brj-24822	118	14	8419	8419	NUM
brj-24822	118	15	.	.	PUNCT
brj-24822	118	16	8405	8405	NUM
brj-24822	118	17	fig	fig	NOUN
brj-24822	118	18	.	.	PUNCT
brj-24822	119	1	1	1	X
brj-24822	119	2	.	.	X
brj-24822	119	3	analytical	analytical	ADJ
brj-24822	119	4	workflow	workflow	NOUN
brj-24822	119	5	for	for	ADP
brj-24822	119	6	modeling	model	VERB
brj-24822	119	7	the	the	DET
brj-24822	119	8	prediction	prediction	NOUN
brj-24822	119	9	of	of	ADP
brj-24822	119	10	enzymatic	enzymatic	ADJ
brj-24822	119	11	hydrolysis	hydrolysis	NOUN
brj-24822	119	12	rate	rate	NOUN
brj-24822	119	13	(	(	PUNCT
brj-24822	119	14	1	1	NUM
brj-24822	119	15	)	)	PUNCT
brj-24822	119	16	(	(	PUNCT
brj-24822	119	17	2	2	X
brj-24822	119	18	)	)	PUNCT
brj-24822	119	19	where	where	SCONJ
brj-24822	119	20	n	n	X
brj-24822	119	21	,	,	PUNCT
brj-24822	119	22	y	y	PROPN
brj-24822	119	23	predicted	predict	VERB
brj-24822	119	24	,	,	PUNCT
brj-24822	119	25	y	y	PROPN
brj-24822	119	26	actual	actual	ADJ
brj-24822	119	27	,	,	PUNCT
brj-24822	119	28	and	and	CCONJ
brj-24822	119	29	y	y	PROPN
brj-24822	119	30	mean	mean	VERB
brj-24822	119	31	are	be	AUX
brj-24822	119	32	the	the	DET
brj-24822	119	33	number	number	NOUN
brj-24822	119	34	of	of	ADP
brj-24822	119	35	instances	instance	NOUN
brj-24822	119	36	,	,	PUNCT
brj-24822	119	37	the	the	DET
brj-24822	119	38	values	value	NOUN
brj-24822	119	39	generated	generate	VERB
brj-24822	119	40	by	by	ADP
brj-24822	119	41	the	the	DET
brj-24822	119	42	ann	ann	PROPN
brj-24822	119	43	model	model	NOUN
brj-24822	119	44	,	,	PUNCT
brj-24822	119	45	the	the	DET
brj-24822	119	46	target	target	NOUN
brj-24822	119	47	value	value	NOUN
brj-24822	119	48	,	,	PUNCT
brj-24822	119	49	and	and	CCONJ
brj-24822	119	50	the	the	DET
brj-24822	119	51	average	average	ADJ
brj-24822	119	52	value	value	NOUN
brj-24822	119	53	of	of	ADP
brj-24822	119	54	the	the	DET
brj-24822	119	55	target	target	NOUN
brj-24822	119	56	output	output	NOUN
brj-24822	119	57	,	,	PUNCT
brj-24822	119	58	respectively	respectively	ADV
brj-24822	119	59	.	.	PUNCT
brj-24822	120	1	the	the	DET
brj-24822	120	2	modeling	modeling	NOUN
brj-24822	120	3	for	for	ADP
brj-24822	120	4	predicting	predict	VERB
brj-24822	120	5	enzymatic	enzymatic	ADJ
brj-24822	120	6	hydrolysis	hydrolysis	NOUN
brj-24822	120	7	yield	yield	NOUN
brj-24822	120	8	was	be	AUX
brj-24822	120	9	carried	carry	VERB
brj-24822	120	10	out	out	ADP
brj-24822	120	11	through	through	ADP
brj-24822	120	12	data	datum	NOUN
brj-24822	120	13	acquisition	acquisition	NOUN
brj-24822	120	14	,	,	PUNCT
brj-24822	120	15	model	model	NOUN
brj-24822	120	16	optimization	optimization	NOUN
brj-24822	120	17	,	,	PUNCT
brj-24822	120	18	and	and	CCONJ
brj-24822	120	19	comparison	comparison	NOUN
brj-24822	120	20	with	with	ADP
brj-24822	120	21	other	other	ADJ
brj-24822	120	22	machine	machine	NOUN
brj-24822	120	23	learning	learn	VERB
brj-24822	120	24	algorithms	algorithm	NOUN
brj-24822	120	25	.	.	PUNCT
brj-24822	121	1	the	the	DET
brj-24822	121	2	overall	overall	ADJ
brj-24822	121	3	workflow	workflow	NOUN
brj-24822	121	4	and	and	CCONJ
brj-24822	121	5	methodology	methodology	NOUN
brj-24822	121	6	adopted	adopt	VERB
brj-24822	121	7	in	in	ADP
brj-24822	121	8	this	this	DET
brj-24822	121	9	study	study	NOUN
brj-24822	121	10	are	be	AUX
brj-24822	121	11	illustrated	illustrate	VERB
brj-24822	121	12	in	in	ADP
brj-24822	121	13	fig	fig	NOUN
brj-24822	121	14	.	.	PUNCT
brj-24822	122	1	1	1	X
brj-24822	122	2	.	.	PUNCT
brj-24822	123	1	this	this	DET
brj-24822	123	2	workflow	workflow	NOUN
brj-24822	123	3	may	may	AUX
brj-24822	123	4	serve	serve	VERB
brj-24822	123	5	as	as	ADP
brj-24822	123	6	a	a	DET
brj-24822	123	7	guideline	guideline	NOUN
brj-24822	123	8	for	for	ADP
brj-24822	123	9	reproducing	reproduce	VERB
brj-24822	123	10	the	the	DET
brj-24822	123	11	results	result	NOUN
brj-24822	123	12	or	or	CCONJ
brj-24822	123	13	applying	apply	VERB
brj-24822	123	14	similar	similar	ADJ
brj-24822	123	15	approaches	approach	NOUN
brj-24822	123	16	in	in	ADP
brj-24822	123	17	related	related	ADJ
brj-24822	123	18	studies	study	NOUN
brj-24822	123	19	.	.	PUNCT
brj-24822	124	1	results	result	NOUN
brj-24822	124	2	and	and	CCONJ
brj-24822	124	3	discussion	discussion	NOUN
brj-24822	124	4	steam	steam	NOUN
brj-24822	124	5	explosion	explosion	NOUN
brj-24822	124	6	and	and	CCONJ
brj-24822	124	7	alkaline	alkaline	NOUN
brj-24822	124	8	pretreatment	pretreatment	NOUN
brj-24822	124	9	of	of	ADP
brj-24822	124	10	pine	pine	ADJ
brj-24822	124	11	wood	wood	NOUN
brj-24822	124	12	chips	chip	NOUN
brj-24822	124	13	as	as	SCONJ
brj-24822	124	14	illustrated	illustrate	VERB
brj-24822	124	15	in	in	ADP
brj-24822	124	16	fig	fig	NOUN
brj-24822	124	17	.	.	PUNCT
brj-24822	125	1	2	2	NUM
brj-24822	125	2	,	,	PUNCT
brj-24822	125	3	the	the	DET
brj-24822	125	4	original	original	ADJ
brj-24822	125	5	sample	sample	NOUN
brj-24822	125	6	and	and	CCONJ
brj-24822	125	7	the	the	DET
brj-24822	125	8	pine	pine	ADJ
brj-24822	125	9	wood	wood	NOUN
brj-24822	125	10	chip	chip	NOUN
brj-24822	125	11	containing	contain	VERB
brj-24822	125	12	bark	bark	NOUN
brj-24822	125	13	are	be	AUX
brj-24822	125	14	represented	represent	VERB
brj-24822	125	15	visually	visually	ADV
brj-24822	125	16	.	.	PUNCT
brj-24822	126	1	as	as	SCONJ
brj-24822	126	2	the	the	DET
brj-24822	126	3	intensity	intensity	NOUN
brj-24822	126	4	of	of	ADP
brj-24822	126	5	the	the	DET
brj-24822	126	6	steam	steam	NOUN
brj-24822	126	7	blasting	blast	VERB
brj-24822	126	8	treatment	treatment	NOUN
brj-24822	126	9	peer	peer	NOUN
brj-24822	126	10	-	-	PUNCT
brj-24822	126	11	reviewed	review	VERB
brj-24822	126	12	article	article	NOUN
brj-24822	126	13	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	126	14	kim	kim	PROPN
brj-24822	126	15	et	et	PROPN
brj-24822	126	16	al	al	PROPN
brj-24822	126	17	.	.	PROPN
brj-24822	127	1	(	(	PUNCT
brj-24822	127	2	2025	2025	NUM
brj-24822	127	3	)	)	PUNCT
brj-24822	127	4	.	.	PUNCT
brj-24822	128	1	“	"	PUNCT
brj-24822	128	2	steam	steam	NOUN
brj-24822	128	3	&	&	CCONJ
brj-24822	128	4	naoh	naoh	PROPN
brj-24822	128	5	pretreatments	pretreatment	NOUN
brj-24822	128	6	,	,	PUNCT
brj-24822	128	7	”	"	PUNCT
brj-24822	128	8	bioresources	bioresource	VERB
brj-24822	128	9	20(4	20(4	NOUN
brj-24822	128	10	)	)	PUNCT
brj-24822	128	11	,	,	PUNCT
brj-24822	128	12	8400	8400	NUM
brj-24822	128	13	-	-	SYM
brj-24822	128	14	8419	8419	NUM
brj-24822	128	15	.	.	PUNCT
brj-24822	129	1	8406	8406	NUM
brj-24822	129	2	increased	increase	VERB
brj-24822	129	3	,	,	PUNCT
brj-24822	129	4	a	a	DET
brj-24822	129	5	shift	shift	NOUN
brj-24822	129	6	in	in	ADP
brj-24822	129	7	color	color	NOUN
brj-24822	129	8	towards	towards	ADP
brj-24822	129	9	darker	dark	ADJ
brj-24822	129	10	shades	shade	NOUN
brj-24822	129	11	was	be	AUX
brj-24822	129	12	observed	observe	VERB
brj-24822	129	13	,	,	PUNCT
brj-24822	129	14	which	which	PRON
brj-24822	129	15	was	be	AUX
brj-24822	129	16	consistent	consistent	ADJ
brj-24822	129	17	across	across	ADP
brj-24822	129	18	both	both	CCONJ
brj-24822	129	19	the	the	DET
brj-24822	129	20	pine	pine	ADJ
brj-24822	129	21	biomass	biomass	NOUN
brj-24822	129	22	with	with	ADP
brj-24822	129	23	bark	bark	NOUN
brj-24822	129	24	and	and	CCONJ
brj-24822	129	25	the	the	DET
brj-24822	129	26	biomass	biomass	NOUN
brj-24822	129	27	without	without	ADP
brj-24822	129	28	bark	bark	NOUN
brj-24822	129	29	.	.	PUNCT
brj-24822	130	1	naoh	naoh	PROPN
brj-24822	130	2	was	be	AUX
brj-24822	130	3	chosen	choose	VERB
brj-24822	130	4	for	for	ADP
brj-24822	130	5	the	the	DET
brj-24822	130	6	chemical	chemical	NOUN
brj-24822	130	7	pretreatment	pretreatment	NOUN
brj-24822	130	8	.	.	PUNCT
brj-24822	131	1	the	the	DET
brj-24822	131	2	morphological	morphological	ADJ
brj-24822	131	3	alterations	alteration	NOUN
brj-24822	131	4	in	in	ADP
brj-24822	131	5	pine	pine	ADJ
brj-24822	131	6	biomass	biomass	NOUN
brj-24822	131	7	that	that	PRON
brj-24822	131	8	had	have	AUX
brj-24822	131	9	undergone	undergo	VERB
brj-24822	131	10	pretreatment	pretreatment	NOUN
brj-24822	131	11	with	with	ADP
brj-24822	131	12	naoh	naoh	NOUN
brj-24822	131	13	were	be	AUX
brj-24822	131	14	observed	observe	VERB
brj-24822	131	15	by	by	ADP
brj-24822	131	16	means	mean	NOUN
brj-24822	131	17	of	of	ADP
brj-24822	131	18	sem	sem	NOUN
brj-24822	131	19	,	,	PUNCT
brj-24822	131	20	with	with	ADP
brj-24822	131	21	the	the	DET
brj-24822	131	22	resultant	resultant	NOUN
brj-24822	131	23	images	image	NOUN
brj-24822	131	24	presented	present	VERB
brj-24822	131	25	in	in	ADP
brj-24822	131	26	fig	fig	NOUN
brj-24822	131	27	.	.	PUNCT
brj-24822	132	1	3	3	X
brj-24822	132	2	.	.	X
brj-24822	132	3	the	the	DET
brj-24822	132	4	sem	sem	PROPN
brj-24822	132	5	images	image	NOUN
brj-24822	132	6	obtained	obtain	VERB
brj-24822	132	7	demonstrated	demonstrate	VERB
brj-24822	132	8	an	an	DET
brj-24822	132	9	augmentation	augmentation	NOUN
brj-24822	132	10	in	in	ADP
brj-24822	132	11	surface	surface	NOUN
brj-24822	132	12	area	area	NOUN
brj-24822	132	13	and	and	CCONJ
brj-24822	132	14	a	a	DET
brj-24822	132	15	disruption	disruption	NOUN
brj-24822	132	16	of	of	ADP
brj-24822	132	17	cell	cell	NOUN
brj-24822	132	18	walls	wall	NOUN
brj-24822	132	19	as	as	ADP
brj-24822	132	20	a	a	DET
brj-24822	132	21	consequence	consequence	NOUN
brj-24822	132	22	of	of	ADP
brj-24822	132	23	chemical	chemical	ADJ
brj-24822	132	24	pretreatment	pretreatment	NOUN
brj-24822	132	25	.	.	PUNCT
brj-24822	133	1	raw	raw	ADJ
brj-24822	133	2	biomass	biomass	NOUN
brj-24822	133	3	–	–	PUNCT
brj-24822	133	4	with	with	ADP
brj-24822	133	5	bark	bark	NOUN
brj-24822	133	6	raw	raw	ADJ
brj-24822	133	7	biomass	biomass	NOUN
brj-24822	133	8	–	–	PUNCT
brj-24822	133	9	without	without	ADP
brj-24822	133	10	bark	bark	NOUN
brj-24822	133	11	225	225	NUM
brj-24822	133	12	℃	℃	PROPN
brj-24822	133	13	,	,	PUNCT
brj-24822	133	14	1	1	NUM
brj-24822	133	15	min	min	NOUN
brj-24822	133	16	–	–	PUNCT
brj-24822	133	17	with	with	ADP
brj-24822	133	18	bark	bark	NOUN
brj-24822	133	19	225	225	NUM
brj-24822	133	20	℃	℃	PROPN
brj-24822	133	21	,	,	PUNCT
brj-24822	133	22	1	1	NUM
brj-24822	133	23	min	min	NOUN
brj-24822	133	24	–	–	PUNCT
brj-24822	133	25	without	without	ADP
brj-24822	133	26	bark	bark	NOUN
brj-24822	133	27	225	225	NUM
brj-24822	133	28	℃	℃	PROPN
brj-24822	133	29	,	,	PUNCT
brj-24822	133	30	3	3	NUM
brj-24822	133	31	min	min	NOUN
brj-24822	133	32	–	–	PUNCT
brj-24822	133	33	with	with	ADP
brj-24822	133	34	bark	bark	NOUN
brj-24822	133	35	225	225	NUM
brj-24822	133	36	℃	℃	PROPN
brj-24822	133	37	,	,	PUNCT
brj-24822	133	38	3	3	NUM
brj-24822	133	39	min	min	NOUN
brj-24822	133	40	–	–	PUNCT
brj-24822	133	41	without	without	ADP
brj-24822	133	42	bark	bark	NOUN
brj-24822	133	43	225	225	NUM
brj-24822	133	44	℃	℃	PROPN
brj-24822	133	45	,	,	PUNCT
brj-24822	133	46	5	5	NUM
brj-24822	133	47	min	min	NOUN
brj-24822	133	48	–	–	PUNCT
brj-24822	133	49	with	with	ADP
brj-24822	133	50	bark	bark	NOUN
brj-24822	133	51	225	225	NUM
brj-24822	133	52	℃	℃	PROPN
brj-24822	133	53	,	,	PUNCT
brj-24822	133	54	5	5	NUM
brj-24822	133	55	min	min	NOUN
brj-24822	133	56	–	–	PUNCT
brj-24822	133	57	without	without	ADP
brj-24822	133	58	bark	bark	NOUN
brj-24822	133	59	fig	fig	NOUN
brj-24822	133	60	.	.	PUNCT
brj-24822	134	1	2	2	X
brj-24822	134	2	.	.	NUM
brj-24822	134	3	images	image	NOUN
brj-24822	134	4	of	of	ADP
brj-24822	134	5	pine	pine	ADJ
brj-24822	134	6	wood	wood	NOUN
brj-24822	134	7	chip	chip	NOUN
brj-24822	134	8	before	before	ADV
brj-24822	134	9	and	and	CCONJ
brj-24822	134	10	after	after	ADP
brj-24822	134	11	steam	steam	NOUN
brj-24822	134	12	explosion	explosion	NOUN
brj-24822	134	13	pretreatment	pretreatment	NOUN
brj-24822	134	14	peer	peer	NOUN
brj-24822	134	15	-	-	PUNCT
brj-24822	134	16	reviewed	review	VERB
brj-24822	134	17	article	article	NOUN
brj-24822	134	18	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	134	19	kim	kim	PROPN
brj-24822	134	20	et	et	PROPN
brj-24822	134	21	al	al	PROPN
brj-24822	134	22	.	.	PROPN
brj-24822	134	23	(	(	PUNCT
brj-24822	134	24	2025	2025	NUM
brj-24822	134	25	)	)	PUNCT
brj-24822	134	26	.	.	PUNCT
brj-24822	135	1	“	"	PUNCT
brj-24822	135	2	steam	steam	NOUN
brj-24822	135	3	&	&	CCONJ
brj-24822	135	4	naoh	naoh	PROPN
brj-24822	135	5	pretreatments	pretreatment	NOUN
brj-24822	135	6	,	,	PUNCT
brj-24822	135	7	”	"	PUNCT
brj-24822	135	8	bioresources	bioresource	VERB
brj-24822	135	9	20(4	20(4	NOUN
brj-24822	135	10	)	)	PUNCT
brj-24822	135	11	,	,	PUNCT
brj-24822	135	12	8400	8400	NUM
brj-24822	135	13	-	-	SYM
brj-24822	135	14	8419	8419	NUM
brj-24822	135	15	.	.	PUNCT
brj-24822	136	1	8407	8407	NUM
brj-24822	137	1	it	it	PRON
brj-24822	137	2	was	be	AUX
brj-24822	137	3	visually	visually	ADV
brj-24822	137	4	evident	evident	ADJ
brj-24822	137	5	that	that	SCONJ
brj-24822	137	6	the	the	PRON
brj-24822	137	7	higher	high	ADJ
brj-24822	137	8	the	the	DET
brj-24822	137	9	solvent	solvent	ADJ
brj-24822	137	10	concentration	concentration	NOUN
brj-24822	137	11	,	,	PUNCT
brj-24822	137	12	the	the	DET
brj-24822	137	13	more	more	ADJ
brj-24822	137	14	cell	cell	NOUN
brj-24822	137	15	wall	wall	NOUN
brj-24822	137	16	disruption	disruption	NOUN
brj-24822	137	17	occurred	occur	VERB
brj-24822	137	18	.	.	PUNCT
brj-24822	138	1	however	however	ADV
brj-24822	138	2	,	,	PUNCT
brj-24822	138	3	it	it	PRON
brj-24822	138	4	was	be	AUX
brj-24822	138	5	found	find	VERB
brj-24822	138	6	that	that	SCONJ
brj-24822	138	7	sufficient	sufficient	ADJ
brj-24822	138	8	cell	cell	NOUN
brj-24822	138	9	wall	wall	NOUN
brj-24822	138	10	disruption	disruption	NOUN
brj-24822	138	11	occurred	occur	VERB
brj-24822	138	12	even	even	ADV
brj-24822	138	13	at	at	ADP
brj-24822	138	14	a	a	DET
brj-24822	138	15	2	2	NUM
brj-24822	138	16	%	%	NOUN
brj-24822	138	17	naoh	naoh	NOUN
brj-24822	138	18	concentration	concentration	NOUN
brj-24822	138	19	and	and	CCONJ
brj-24822	138	20	room	room	NOUN
brj-24822	138	21	temperature	temperature	NOUN
brj-24822	138	22	,	,	PUNCT
brj-24822	138	23	which	which	PRON
brj-24822	138	24	is	be	AUX
brj-24822	138	25	relatively	relatively	ADV
brj-24822	138	26	lower	low	ADJ
brj-24822	138	27	than	than	ADP
brj-24822	138	28	the	the	DET
brj-24822	138	29	typical	typical	ADJ
brj-24822	138	30	naoh	naoh	NOUN
brj-24822	138	31	treatment	treatment	NOUN
brj-24822	138	32	concentration	concentration	NOUN
brj-24822	138	33	.	.	PUNCT
brj-24822	139	1	this	this	PRON
brj-24822	139	2	indicates	indicate	VERB
brj-24822	139	3	that	that	SCONJ
brj-24822	139	4	treating	treat	VERB
brj-24822	139	5	biomass	biomass	NOUN
brj-24822	139	6	with	with	ADP
brj-24822	139	7	low	low	ADJ
brj-24822	139	8	concentrations	concentration	NOUN
brj-24822	139	9	of	of	ADP
brj-24822	139	10	chemical	chemical	ADJ
brj-24822	139	11	and	and	CCONJ
brj-24822	139	12	mild	mild	ADJ
brj-24822	139	13	temperatures	temperature	NOUN
brj-24822	139	14	can	can	AUX
brj-24822	139	15	be	be	AUX
brj-24822	139	16	effective	effective	ADJ
brj-24822	139	17	in	in	ADP
brj-24822	139	18	increasing	increase	VERB
brj-24822	139	19	biomass	biomass	NOUN
brj-24822	139	20	digestibility	digestibility	NOUN
brj-24822	139	21	(	(	PUNCT
brj-24822	139	22	lou	lou	PROPN
brj-24822	139	23	et	et	PROPN
brj-24822	139	24	al	al	PROPN
brj-24822	139	25	.	.	PROPN
brj-24822	139	26	2016	2016	NUM
brj-24822	139	27	)	)	PUNCT
brj-24822	139	28	.	.	PUNCT
brj-24822	140	1	enzymatic	enzymatic	ADJ
brj-24822	140	2	hydrolysis	hydrolysis	NOUN
brj-24822	140	3	of	of	ADP
brj-24822	140	4	biomass	biomass	NOUN
brj-24822	140	5	and	and	CCONJ
brj-24822	140	6	the	the	DET
brj-24822	140	7	influence	influence	NOUN
brj-24822	140	8	of	of	ADP
brj-24822	140	9	process	process	NOUN
brj-24822	140	10	variables	variable	NOUN
brj-24822	140	11	before	before	ADP
brj-24822	140	12	using	use	VERB
brj-24822	140	13	an	an	DET
brj-24822	140	14	artificial	artificial	ADJ
brj-24822	140	15	neural	neural	ADJ
brj-24822	140	16	network	network	NOUN
brj-24822	140	17	to	to	PART
brj-24822	140	18	train	train	VERB
brj-24822	140	19	data	datum	NOUN
brj-24822	140	20	,	,	PUNCT
brj-24822	140	21	the	the	DET
brj-24822	140	22	scientific	scientific	ADJ
brj-24822	140	23	basis	basis	NOUN
brj-24822	140	24	for	for	ADP
brj-24822	140	25	the	the	DET
brj-24822	140	26	input	input	NOUN
brj-24822	140	27	variables	variable	NOUN
brj-24822	140	28	must	must	AUX
brj-24822	140	29	be	be	AUX
brj-24822	140	30	clarified	clarify	VERB
brj-24822	140	31	.	.	PUNCT
brj-24822	141	1	the	the	DET
brj-24822	141	2	presence	presence	NOUN
brj-24822	141	3	of	of	ADP
brj-24822	141	4	bark	bark	NOUN
brj-24822	141	5	is	be	AUX
brj-24822	141	6	important	important	ADJ
brj-24822	141	7	because	because	SCONJ
brj-24822	141	8	it	it	PRON
brj-24822	141	9	can	can	AUX
brj-24822	141	10	worsen	worsen	VERB
brj-24822	141	11	the	the	DET
brj-24822	141	12	efficiency	efficiency	NOUN
brj-24822	141	13	of	of	ADP
brj-24822	141	14	enzymatic	enzymatic	ADJ
brj-24822	141	15	hydrolysis	hydrolysis	NOUN
brj-24822	141	16	(	(	PUNCT
brj-24822	141	17	kim	kim	PROPN
brj-24822	141	18	et	et	PROPN
brj-24822	141	19	al	al	PROPN
brj-24822	141	20	.	.	PROPN
brj-24822	141	21	2005	2005	NUM
brj-24822	141	22	)	)	PUNCT
brj-24822	141	23	.	.	PUNCT
brj-24822	142	1	during	during	ADP
brj-24822	142	2	the	the	DET
brj-24822	142	3	steam	steam	NOUN
brj-24822	142	4	blasting	blasting	NOUN
brj-24822	142	5	process	process	NOUN
brj-24822	142	6	,	,	PUNCT
brj-24822	142	7	woody	woody	ADJ
brj-24822	142	8	cellulosic	cellulosic	NOUN
brj-24822	142	9	biomass	biomass	NOUN
brj-24822	142	10	undergoes	undergoe	NOUN
brj-24822	142	11	self	self	NOUN
brj-24822	142	12	-	-	PUNCT
brj-24822	142	13	hydrolysis	hydrolysis	NOUN
brj-24822	142	14	due	due	ADJ
brj-24822	142	15	to	to	ADP
brj-24822	142	16	heat	heat	NOUN
brj-24822	142	17	and	and	CCONJ
brj-24822	142	18	steam	steam	NOUN
brj-24822	142	19	,	,	PUNCT
brj-24822	142	20	and	and	CCONJ
brj-24822	142	21	fiber	fiber	NOUN
brj-24822	142	22	rupture	rupture	NOUN
brj-24822	142	23	due	due	ADP
brj-24822	142	24	to	to	ADP
brj-24822	142	25	overpressure	overpressure	NOUN
brj-24822	142	26	,	,	PUNCT
brj-24822	142	27	which	which	PRON
brj-24822	142	28	facilitates	facilitate	VERB
brj-24822	142	29	enzyme	enzyme	NOUN
brj-24822	142	30	penetration	penetration	NOUN
brj-24822	142	31	(	(	PUNCT
brj-24822	142	32	jacquet	jacquet	NOUN
brj-24822	142	33	et	et	PROPN
brj-24822	142	34	al	al	PROPN
brj-24822	142	35	.	.	PROPN
brj-24822	142	36	2010	2010	NUM
brj-24822	142	37	)	)	PUNCT
brj-24822	142	38	.	.	PUNCT
brj-24822	143	1	moreover	moreover	ADV
brj-24822	143	2	,	,	PUNCT
brj-24822	143	3	the	the	DET
brj-24822	143	4	degree	degree	NOUN
brj-24822	143	5	of	of	ADP
brj-24822	143	6	self	self	NOUN
brj-24822	143	7	-	-	PUNCT
brj-24822	143	8	hydrolysis	hydrolysis	NOUN
brj-24822	143	9	and	and	CCONJ
brj-24822	143	10	fiber	fiber	NOUN
brj-24822	143	11	rupture	rupture	NOUN
brj-24822	143	12	varies	vary	VERB
brj-24822	143	13	depending	depend	VERB
brj-24822	143	14	on	on	ADP
brj-24822	143	15	the	the	DET
brj-24822	143	16	time	time	NOUN
brj-24822	143	17	that	that	PRON
brj-24822	143	18	the	the	DET
brj-24822	143	19	steam	steam	NOUN
brj-24822	143	20	reacts	react	VERB
brj-24822	143	21	with	with	ADP
brj-24822	143	22	the	the	DET
brj-24822	143	23	wood	wood	NOUN
brj-24822	143	24	cellulosic	cellulosic	NOUN
brj-24822	143	25	biomass	biomass	NOUN
brj-24822	143	26	,	,	PUNCT
brj-24822	143	27	which	which	PRON
brj-24822	143	28	is	be	AUX
brj-24822	143	29	an	an	DET
brj-24822	143	30	important	important	ADJ
brj-24822	143	31	variable	variable	NOUN
brj-24822	143	32	(	(	PUNCT
brj-24822	143	33	jacquet	jacquet	NOUN
brj-24822	143	34	et	et	PROPN
brj-24822	143	35	al	al	PROPN
brj-24822	143	36	.	.	PROPN
brj-24822	143	37	2012	2012	NUM
brj-24822	143	38	)	)	PUNCT
brj-24822	143	39	.	.	PUNCT
brj-24822	144	1	furthermore	furthermore	ADV
brj-24822	144	2	,	,	PUNCT
brj-24822	144	3	the	the	DET
brj-24822	144	4	alkali	alkali	ADJ
brj-24822	144	5	concentration	concentration	NOUN
brj-24822	144	6	and	and	CCONJ
brj-24822	144	7	chemical	chemical	NOUN
brj-24822	144	8	pretreatment	pretreatment	NOUN
brj-24822	144	9	time	time	NOUN
brj-24822	144	10	used	use	VERB
brj-24822	144	11	in	in	ADP
brj-24822	144	12	the	the	DET
brj-24822	144	13	chemical	chemical	NOUN
brj-24822	144	14	pretreatment	pretreatment	NOUN
brj-24822	144	15	may	may	AUX
brj-24822	144	16	result	result	VERB
brj-24822	144	17	in	in	ADP
brj-24822	144	18	different	different	ADJ
brj-24822	144	19	enzymatic	enzymatic	ADJ
brj-24822	144	20	hydrolysis	hydrolysis	NOUN
brj-24822	144	21	efficiencies	efficiency	NOUN
brj-24822	144	22	due	due	ADJ
brj-24822	144	23	to	to	ADP
brj-24822	144	24	different	different	ADJ
brj-24822	144	25	removal	removal	NOUN
brj-24822	144	26	of	of	ADP
brj-24822	144	27	enzymatic	enzymatic	ADJ
brj-24822	144	28	hydrolysis	hydrolysis	NOUN
brj-24822	144	29	inhibitors	inhibitor	NOUN
brj-24822	144	30	(	(	PUNCT
brj-24822	144	31	persson	persson	NOUN
brj-24822	144	32	et	et	PROPN
brj-24822	144	33	al	al	PROPN
brj-24822	144	34	.	.	PROPN
brj-24822	144	35	2002	2002	NUM
brj-24822	144	36	)	)	PUNCT
brj-24822	144	37	.	.	PUNCT
brj-24822	145	1	in	in	ADP
brj-24822	145	2	table	table	NOUN
brj-24822	145	3	s1	s1	NOUN
brj-24822	145	4	and	and	CCONJ
brj-24822	145	5	fig	fig	NOUN
brj-24822	145	6	.	.	PUNCT
brj-24822	146	1	4	4	NUM
brj-24822	146	2	,	,	PUNCT
brj-24822	146	3	the	the	DET
brj-24822	146	4	code	code	NOUN
brj-24822	146	5	“	"	PUNCT
brj-24822	146	6	1	1	NUM
brj-24822	146	7	”	"	PUNCT
brj-24822	146	8	denotes	denote	NOUN
brj-24822	146	9	including	include	VERB
brj-24822	146	10	bark	bark	NOUN
brj-24822	146	11	and	and	CCONJ
brj-24822	146	12	“	"	PUNCT
brj-24822	146	13	0	0	NUM
brj-24822	146	14	”	"	PUNCT
brj-24822	146	15	denotes	denote	NOUN
brj-24822	146	16	not	not	PART
brj-24822	146	17	including	include	VERB
brj-24822	146	18	bark	bark	NOUN
brj-24822	146	19	.	.	PUNCT
brj-24822	147	1	samples	sample	NOUN
brj-24822	147	2	without	without	ADP
brj-24822	147	3	bark(0	bark(0	NOUN
brj-24822	147	4	)	)	PUNCT
brj-24822	147	5	had	have	VERB
brj-24822	147	6	a	a	DET
brj-24822	147	7	higher	high	ADJ
brj-24822	147	8	median	median	ADJ
brj-24822	147	9	value	value	NOUN
brj-24822	147	10	than	than	ADP
brj-24822	147	11	samples	sample	NOUN
brj-24822	147	12	with	with	ADP
brj-24822	147	13	bark(1	bark(1	NOUN
brj-24822	147	14	)	)	PUNCT
brj-24822	147	15	,	,	PUNCT
brj-24822	147	16	while	while	SCONJ
brj-24822	147	17	samples	sample	NOUN
brj-24822	147	18	with	with	ADP
brj-24822	147	19	bark	bark	NOUN
brj-24822	147	20	contained	contain	VERB
brj-24822	147	21	several	several	ADJ
brj-24822	147	22	outliers	outlier	NOUN
brj-24822	147	23	and	and	CCONJ
brj-24822	147	24	showed	show	VERB
brj-24822	147	25	a	a	DET
brj-24822	147	26	large	large	ADJ
brj-24822	147	27	variance	variance	NOUN
brj-24822	147	28	.	.	PUNCT
brj-24822	148	1	chemical	chemical	PROPN
brj-24822	148	2	pretreatment	pretreatment	NOUN
brj-24822	148	3	time	time	NOUN
brj-24822	148	4	showed	show	VERB
brj-24822	148	5	high	high	ADJ
brj-24822	148	6	hydrolysis	hydrolysis	NOUN
brj-24822	148	7	rates	rate	NOUN
brj-24822	148	8	for	for	ADP
brj-24822	148	9	the	the	DET
brj-24822	148	10	24h	24h	NOUN
brj-24822	148	11	treatment	treatment	NOUN
brj-24822	148	12	and	and	CCONJ
brj-24822	148	13	relatively	relatively	ADV
brj-24822	148	14	few	few	ADJ
brj-24822	148	15	outliers	outlier	NOUN
brj-24822	148	16	.	.	PUNCT
brj-24822	149	1	chemical	chemical	ADJ
brj-24822	149	2	concentrations	concentration	NOUN
brj-24822	149	3	showed	show	VERB
brj-24822	149	4	the	the	DET
brj-24822	149	5	highest	high	ADJ
brj-24822	149	6	enzymatic	enzymatic	ADJ
brj-24822	149	7	hydrolysis	hydrolysis	NOUN
brj-24822	149	8	rates	rate	NOUN
brj-24822	149	9	at	at	ADP
brj-24822	149	10	1	1	NUM
brj-24822	149	11	%	%	NOUN
brj-24822	149	12	,	,	PUNCT
brj-24822	149	13	and	and	CCONJ
brj-24822	149	14	overall	overall	ADJ
brj-24822	149	15	low	low	ADJ
brj-24822	149	16	hydrolysis	hydrolysis	NOUN
brj-24822	149	17	rates	rate	NOUN
brj-24822	149	18	(	(	PUNCT
brj-24822	149	19	54.9	54.9	NUM
brj-24822	149	20	to	to	PART
brj-24822	149	21	89.7	89.7	NUM
brj-24822	149	22	%	%	NOUN
brj-24822	149	23	)	)	PUNCT
brj-24822	149	24	at	at	ADP
brj-24822	149	25	0.5	0.5	NUM
brj-24822	149	26	%	%	NOUN
brj-24822	149	27	.	.	PUNCT
brj-24822	150	1	untreated	untreated	ADJ
brj-24822	150	2	(	(	PUNCT
brj-24822	150	3	with	with	ADP
brj-24822	150	4	bark	bark	NOUN
brj-24822	150	5	)	)	PUNCT
brj-24822	150	6	untreated	untreated	ADJ
brj-24822	150	7	(	(	PUNCT
brj-24822	150	8	without	without	ADP
brj-24822	150	9	bark	bark	NOUN
brj-24822	150	10	)	)	PUNCT
brj-24822	150	11	steam	steam	NOUN
brj-24822	150	12	explosion	explosion	NOUN
brj-24822	150	13	0.5	0.5	NUM
brj-24822	150	14	%	%	NOUN
brj-24822	150	15	naoh	naoh	NOUN
brj-24822	150	16	treatment	treatment	PROPN
brj-24822	150	17	peer	peer	NOUN
brj-24822	150	18	-	-	PUNCT
brj-24822	150	19	reviewed	review	VERB
brj-24822	150	20	article	article	NOUN
brj-24822	150	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	150	22	kim	kim	PROPN
brj-24822	150	23	et	et	PROPN
brj-24822	150	24	al	al	PROPN
brj-24822	150	25	.	.	PROPN
brj-24822	151	1	(	(	PUNCT
brj-24822	151	2	2025	2025	NUM
brj-24822	151	3	)	)	PUNCT
brj-24822	151	4	.	.	PUNCT
brj-24822	152	1	“	"	PUNCT
brj-24822	152	2	steam	steam	NOUN
brj-24822	152	3	&	&	CCONJ
brj-24822	152	4	naoh	naoh	PROPN
brj-24822	152	5	pretreatments	pretreatment	NOUN
brj-24822	152	6	,	,	PUNCT
brj-24822	152	7	”	"	PUNCT
brj-24822	152	8	bioresources	bioresource	VERB
brj-24822	152	9	20(4	20(4	NOUN
brj-24822	152	10	)	)	PUNCT
brj-24822	152	11	,	,	PUNCT
brj-24822	152	12	8400	8400	NUM
brj-24822	152	13	-	-	SYM
brj-24822	152	14	8419	8419	NUM
brj-24822	152	15	.	.	PUNCT
brj-24822	153	1	8408	8408	NUM
brj-24822	153	2	1.0	1.0	NUM
brj-24822	153	3	%	%	NOUN
brj-24822	153	4	naoh	naoh	NOUN
brj-24822	153	5	treatment	treatment	NOUN
brj-24822	153	6	2.0	2.0	NUM
brj-24822	153	7	%	%	NOUN
brj-24822	153	8	naoh	naoh	NOUN
brj-24822	153	9	treatment	treatment	NOUN
brj-24822	153	10	fig	fig	NOUN
brj-24822	153	11	.	.	PUNCT
brj-24822	154	1	3	3	X
brj-24822	154	2	.	.	X
brj-24822	154	3	scanning	scan	VERB
brj-24822	154	4	electron	electron	NOUN
brj-24822	154	5	microscopy	microscopy	NOUN
brj-24822	154	6	(	(	PUNCT
brj-24822	154	7	sem	sem	NOUN
brj-24822	154	8	)	)	PUNCT
brj-24822	154	9	images	image	NOUN
brj-24822	154	10	of	of	ADP
brj-24822	154	11	pine	pine	ADJ
brj-24822	154	12	wood	wood	NOUN
brj-24822	154	13	biomass	biomass	NOUN
brj-24822	154	14	obtained	obtain	VERB
brj-24822	154	15	from	from	ADP
brj-24822	154	16	untreated	untreated	ADJ
brj-24822	154	17	,	,	PUNCT
brj-24822	154	18	steam	steam	NOUN
brj-24822	154	19	explosion	explosion	NOUN
brj-24822	154	20	treatment	treatment	NOUN
brj-24822	154	21	and	and	CCONJ
brj-24822	154	22	naoh	naoh	NOUN
brj-24822	154	23	treatment	treatment	NOUN
brj-24822	154	24	steam	steam	NOUN
brj-24822	154	25	explosion	explosion	NOUN
brj-24822	154	26	time	time	NOUN
brj-24822	154	27	had	have	VERB
brj-24822	154	28	the	the	DET
brj-24822	154	29	highest	high	ADJ
brj-24822	154	30	median	median	NOUN
brj-24822	154	31	and	and	CCONJ
brj-24822	154	32	least	least	ADJ
brj-24822	154	33	dispersion	dispersion	NOUN
brj-24822	154	34	in	in	ADP
brj-24822	154	35	the	the	DET
brj-24822	154	36	5	5	NUM
brj-24822	154	37	min	min	NOUN
brj-24822	154	38	treated	treat	VERB
brj-24822	154	39	samples	sample	NOUN
brj-24822	154	40	.	.	PUNCT
brj-24822	155	1	the	the	DET
brj-24822	155	2	presence	presence	NOUN
brj-24822	155	3	or	or	CCONJ
brj-24822	155	4	absence	absence	NOUN
brj-24822	155	5	of	of	ADP
brj-24822	155	6	bark	bark	NOUN
brj-24822	155	7	in	in	ADP
brj-24822	155	8	the	the	DET
brj-24822	155	9	steam	steam	NOUN
brj-24822	155	10	exploded	explode	VERB
brj-24822	155	11	samples	sample	NOUN
brj-24822	155	12	did	do	AUX
brj-24822	155	13	not	not	PART
brj-24822	155	14	appear	appear	VERB
brj-24822	155	15	to	to	PART
brj-24822	155	16	have	have	VERB
brj-24822	155	17	a	a	DET
brj-24822	155	18	significant	significant	ADJ
brj-24822	155	19	effect	effect	NOUN
brj-24822	155	20	on	on	ADP
brj-24822	155	21	enzymatic	enzymatic	ADJ
brj-24822	155	22	hydrolysis	hydrolysis	NOUN
brj-24822	155	23	rates	rate	NOUN
brj-24822	155	24	,	,	PUNCT
brj-24822	155	25	which	which	PRON
brj-24822	155	26	is	be	AUX
brj-24822	155	27	consistent	consistent	ADJ
brj-24822	155	28	with	with	ADP
brj-24822	155	29	previous	previous	ADJ
brj-24822	155	30	reports	report	NOUN
brj-24822	155	31	(	(	PUNCT
brj-24822	155	32	kim	kim	PROPN
brj-24822	155	33	et	et	PROPN
brj-24822	155	34	al	al	PROPN
brj-24822	155	35	.	.	PROPN
brj-24822	155	36	2005	2005	NUM
brj-24822	155	37	)	)	PUNCT
brj-24822	155	38	.	.	PUNCT
brj-24822	156	1	it	it	PRON
brj-24822	156	2	can	can	AUX
brj-24822	156	3	be	be	AUX
brj-24822	156	4	seen	see	VERB
brj-24822	156	5	from	from	ADP
brj-24822	156	6	fig	fig	NOUN
brj-24822	156	7	.	.	PUNCT
brj-24822	157	1	1	1	NUM
brj-24822	157	2	that	that	SCONJ
brj-24822	157	3	the	the	PRON
brj-24822	157	4	longer	long	ADV
brj-24822	157	5	the	the	DET
brj-24822	157	6	steam	steam	NOUN
brj-24822	157	7	explosion	explosion	NOUN
brj-24822	157	8	time	time	NOUN
brj-24822	157	9	,	,	PUNCT
brj-24822	157	10	the	the	DET
brj-24822	157	11	more	more	ADJ
brj-24822	157	12	structure	structure	NOUN
brj-24822	157	13	destruction	destruction	NOUN
brj-24822	157	14	occurred	occur	VERB
brj-24822	157	15	due	due	ADP
brj-24822	157	16	to	to	ADP
brj-24822	157	17	the	the	DET
brj-24822	157	18	longer	long	ADJ
brj-24822	157	19	reaction	reaction	NOUN
brj-24822	157	20	time	time	NOUN
brj-24822	157	21	between	between	ADP
brj-24822	157	22	the	the	DET
brj-24822	157	23	steam	steam	NOUN
brj-24822	157	24	and	and	CCONJ
brj-24822	157	25	biomass	biomass	NOUN
brj-24822	157	26	.	.	PUNCT
brj-24822	158	1	it	it	PRON
brj-24822	158	2	has	have	AUX
brj-24822	158	3	been	be	AUX
brj-24822	158	4	shown	show	VERB
brj-24822	158	5	that	that	SCONJ
brj-24822	158	6	brokendown	brokendown	NOUN
brj-24822	158	7	biomass	biomass	NOUN
brj-24822	158	8	allows	allow	VERB
brj-24822	158	9	easier	easy	ADJ
brj-24822	158	10	penetration	penetration	NOUN
brj-24822	158	11	of	of	ADP
brj-24822	158	12	the	the	DET
brj-24822	158	13	enzyme	enzyme	NOUN
brj-24822	158	14	and	and	CCONJ
brj-24822	158	15	increases	increase	VERB
brj-24822	158	16	the	the	DET
brj-24822	158	17	hydrolysis	hydrolysis	NOUN
brj-24822	158	18	rate	rate	NOUN
brj-24822	158	19	(	(	PUNCT
brj-24822	158	20	jacquet	jacquet	NOUN
brj-24822	158	21	et	et	PROPN
brj-24822	158	22	al	al	PROPN
brj-24822	158	23	.	.	PROPN
brj-24822	158	24	2012	2012	NUM
brj-24822	158	25	)	)	PUNCT
brj-24822	158	26	.	.	PUNCT
brj-24822	159	1	therefore	therefore	ADV
brj-24822	159	2	,	,	PUNCT
brj-24822	159	3	a	a	DET
brj-24822	159	4	complex	complex	ADJ
brj-24822	159	5	learning	learning	NOUN
brj-24822	159	6	network	network	NOUN
brj-24822	159	7	should	should	AUX
brj-24822	159	8	be	be	AUX
brj-24822	159	9	built	build	VERB
brj-24822	159	10	to	to	PART
brj-24822	159	11	predict	predict	VERB
brj-24822	159	12	the	the	DET
brj-24822	159	13	enzymatic	enzymatic	ADJ
brj-24822	159	14	hydrolysis	hydrolysis	NOUN
brj-24822	159	15	rate	rate	NOUN
brj-24822	159	16	by	by	ADP
brj-24822	159	17	examining	examine	VERB
brj-24822	159	18	the	the	DET
brj-24822	159	19	correlation	correlation	NOUN
brj-24822	159	20	between	between	ADP
brj-24822	159	21	the	the	DET
brj-24822	159	22	input	input	NOUN
brj-24822	159	23	variables	variable	NOUN
brj-24822	159	24	.	.	PUNCT
brj-24822	160	1	figure	figure	NOUN
brj-24822	160	2	4	4	NUM
brj-24822	160	3	shows	show	VERB
brj-24822	160	4	the	the	DET
brj-24822	160	5	correlation	correlation	NOUN
brj-24822	160	6	between	between	ADP
brj-24822	160	7	the	the	DET
brj-24822	160	8	input	input	NOUN
brj-24822	160	9	and	and	CCONJ
brj-24822	160	10	output	output	NOUN
brj-24822	160	11	variables	variable	NOUN
brj-24822	160	12	.	.	PUNCT
brj-24822	161	1	fig	fig	NOUN
brj-24822	161	2	.	.	PUNCT
brj-24822	162	1	4	4	X
brj-24822	162	2	.	.	X
brj-24822	162	3	the	the	DET
brj-24822	162	4	following	follow	VERB
brj-24822	162	5	box	box	NOUN
brj-24822	162	6	plots	plot	NOUN
brj-24822	162	7	illustrate	illustrate	VERB
brj-24822	162	8	the	the	DET
brj-24822	162	9	effect	effect	NOUN
brj-24822	162	10	of	of	ADP
brj-24822	162	11	varying	vary	VERB
brj-24822	162	12	parameters	parameter	NOUN
brj-24822	162	13	on	on	ADP
brj-24822	162	14	the	the	DET
brj-24822	162	15	efficiency	efficiency	NOUN
brj-24822	162	16	of	of	ADP
brj-24822	162	17	enzymatic	enzymatic	ADJ
brj-24822	162	18	hydrolysis	hydrolysis	NOUN
brj-24822	162	19	.	.	PUNCT
brj-24822	163	1	the	the	DET
brj-24822	163	2	parameters	parameter	NOUN
brj-24822	163	3	under	under	ADP
brj-24822	163	4	investigation	investigation	NOUN
brj-24822	163	5	are	be	AUX
brj-24822	163	6	as	as	SCONJ
brj-24822	163	7	follows	follow	VERB
brj-24822	163	8	:	:	PUNCT
brj-24822	163	9	bark	bark	NOUN
brj-24822	163	10	(	(	PUNCT
brj-24822	163	11	a	a	X
brj-24822	163	12	)	)	PUNCT
brj-24822	163	13	,	,	PUNCT
brj-24822	163	14	chemical	chemical	NOUN
brj-24822	163	15	pretreatment	pretreatment	NOUN
brj-24822	163	16	time	time	NOUN
brj-24822	163	17	(	(	PUNCT
brj-24822	163	18	b	b	NOUN
brj-24822	163	19	)	)	PUNCT
brj-24822	163	20	,	,	PUNCT
brj-24822	163	21	chemical	chemical	NOUN
brj-24822	163	22	concentration	concentration	NOUN
brj-24822	163	23	(	(	PUNCT
brj-24822	163	24	c	c	NOUN
brj-24822	163	25	)	)	PUNCT
brj-24822	163	26	,	,	PUNCT
brj-24822	163	27	and	and	CCONJ
brj-24822	163	28	steam	steam	NOUN
brj-24822	163	29	explosion	explosion	NOUN
brj-24822	163	30	time	time	NOUN
brj-24822	163	31	(	(	PUNCT
brj-24822	163	32	d	d	NOUN
brj-24822	163	33	)	)	PUNCT
brj-24822	163	34	(	(	PUNCT
brj-24822	163	35	a	a	X
brj-24822	163	36	)	)	PUNCT
brj-24822	163	37	(	(	PUNCT
brj-24822	163	38	b	b	X
brj-24822	163	39	)	)	PUNCT
brj-24822	163	40	(	(	PUNCT
brj-24822	163	41	c	c	X
brj-24822	163	42	)	)	PUNCT
brj-24822	163	43	(	(	PUNCT
brj-24822	163	44	d	d	X
brj-24822	163	45	)	)	PUNCT
brj-24822	163	46	peer	peer	NOUN
brj-24822	163	47	-	-	PUNCT
brj-24822	163	48	reviewed	review	VERB
brj-24822	163	49	article	article	NOUN
brj-24822	163	50	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	163	51	kim	kim	PROPN
brj-24822	163	52	et	et	PROPN
brj-24822	163	53	al	al	PROPN
brj-24822	163	54	.	.	PROPN
brj-24822	164	1	(	(	PUNCT
brj-24822	164	2	2025	2025	NUM
brj-24822	164	3	)	)	PUNCT
brj-24822	164	4	.	.	PUNCT
brj-24822	165	1	“	"	PUNCT
brj-24822	165	2	steam	steam	NOUN
brj-24822	165	3	&	&	CCONJ
brj-24822	165	4	naoh	naoh	PROPN
brj-24822	165	5	pretreatments	pretreatment	NOUN
brj-24822	165	6	,	,	PUNCT
brj-24822	165	7	”	"	PUNCT
brj-24822	165	8	bioresources	bioresource	VERB
brj-24822	165	9	20(4	20(4	NOUN
brj-24822	165	10	)	)	PUNCT
brj-24822	165	11	,	,	PUNCT
brj-24822	165	12	8400	8400	NUM
brj-24822	165	13	-	-	SYM
brj-24822	165	14	8419	8419	NUM
brj-24822	165	15	.	.	PUNCT
brj-24822	165	16	8409	8409	NUM
brj-24822	165	17	figure	figure	VERB
brj-24822	165	18	5	5	NUM
brj-24822	165	19	presents	present	VERB
brj-24822	165	20	a	a	DET
brj-24822	165	21	correlation	correlation	NOUN
brj-24822	165	22	matrix	matrix	NOUN
brj-24822	165	23	analysis	analysis	NOUN
brj-24822	165	24	that	that	PRON
brj-24822	165	25	includes	include	VERB
brj-24822	165	26	the	the	DET
brj-24822	165	27	relationships	relationship	NOUN
brj-24822	165	28	among	among	ADP
brj-24822	165	29	bark	bark	NOUN
brj-24822	165	30	presence	presence	NOUN
brj-24822	165	31	,	,	PUNCT
brj-24822	165	32	steam	steam	NOUN
brj-24822	165	33	explosion	explosion	NOUN
brj-24822	165	34	time	time	NOUN
brj-24822	165	35	,	,	PUNCT
brj-24822	165	36	chemical	chemical	NOUN
brj-24822	165	37	concentration	concentration	NOUN
brj-24822	165	38	,	,	PUNCT
brj-24822	165	39	chemical	chemical	NOUN
brj-24822	165	40	treatment	treatment	NOUN
brj-24822	165	41	time	time	NOUN
brj-24822	165	42	,	,	PUNCT
brj-24822	165	43	and	and	CCONJ
brj-24822	165	44	enzymatic	enzymatic	ADJ
brj-24822	165	45	hydrolysis	hydrolysis	NOUN
brj-24822	165	46	yield	yield	NOUN
brj-24822	165	47	.	.	PUNCT
brj-24822	166	1	the	the	DET
brj-24822	166	2	matrix	matrix	NOUN
brj-24822	166	3	values	value	NOUN
brj-24822	166	4	indicate	indicate	VERB
brj-24822	166	5	both	both	CCONJ
brj-24822	166	6	the	the	DET
brj-24822	166	7	direction	direction	NOUN
brj-24822	166	8	and	and	CCONJ
brj-24822	166	9	strength	strength	NOUN
brj-24822	166	10	of	of	ADP
brj-24822	166	11	the	the	DET
brj-24822	166	12	relationships	relationship	NOUN
brj-24822	166	13	between	between	ADP
brj-24822	166	14	variables	variable	NOUN
brj-24822	166	15	.	.	PUNCT
brj-24822	167	1	according	accord	VERB
brj-24822	167	2	to	to	ADP
brj-24822	167	3	the	the	DET
brj-24822	167	4	correlation	correlation	NOUN
brj-24822	167	5	analysis	analysis	NOUN
brj-24822	167	6	,	,	PUNCT
brj-24822	167	7	chemical	chemical	NOUN
brj-24822	167	8	concentration	concentration	NOUN
brj-24822	167	9	exhibited	exhibit	VERB
brj-24822	167	10	a	a	DET
brj-24822	167	11	strong	strong	ADJ
brj-24822	167	12	positive	positive	ADJ
brj-24822	167	13	correlation	correlation	NOUN
brj-24822	167	14	(	(	PUNCT
brj-24822	167	15	0.61	0.61	NUM
brj-24822	167	16	)	)	PUNCT
brj-24822	167	17	with	with	ADP
brj-24822	167	18	enzymatic	enzymatic	ADJ
brj-24822	167	19	hydrolysis	hydrolysis	NOUN
brj-24822	167	20	yield	yield	NOUN
brj-24822	167	21	,	,	PUNCT
brj-24822	167	22	suggesting	suggest	VERB
brj-24822	167	23	that	that	SCONJ
brj-24822	167	24	increases	increase	NOUN
brj-24822	167	25	or	or	CCONJ
brj-24822	167	26	decreases	decrease	NOUN
brj-24822	167	27	in	in	ADP
brj-24822	167	28	chemical	chemical	ADJ
brj-24822	167	29	concentration	concentration	NOUN
brj-24822	167	30	directly	directly	ADV
brj-24822	167	31	affect	affect	VERB
brj-24822	167	32	saccharification	saccharification	NOUN
brj-24822	167	33	performance	performance	NOUN
brj-24822	167	34	.	.	PUNCT
brj-24822	168	1	in	in	ADP
brj-24822	168	2	contrast	contrast	NOUN
brj-24822	168	3	,	,	PUNCT
brj-24822	168	4	steam	steam	NOUN
brj-24822	168	5	explosion	explosion	NOUN
brj-24822	168	6	time	time	NOUN
brj-24822	168	7	and	and	CCONJ
brj-24822	168	8	chemical	chemical	NOUN
brj-24822	168	9	treatment	treatment	NOUN
brj-24822	168	10	time	time	NOUN
brj-24822	168	11	showed	show	VERB
brj-24822	168	12	very	very	ADV
brj-24822	168	13	weak	weak	ADJ
brj-24822	168	14	correlations	correlation	NOUN
brj-24822	168	15	with	with	ADP
brj-24822	168	16	enzymatic	enzymatic	ADJ
brj-24822	168	17	hydrolysis	hydrolysis	NOUN
brj-24822	168	18	yield	yield	NOUN
brj-24822	168	19	.	.	PUNCT
brj-24822	169	1	additionally	additionally	ADV
brj-24822	169	2	,	,	PUNCT
brj-24822	169	3	the	the	DET
brj-24822	169	4	presence	presence	NOUN
brj-24822	169	5	of	of	ADP
brj-24822	169	6	bark	bark	NOUN
brj-24822	169	7	demonstrated	demonstrate	VERB
brj-24822	169	8	a	a	DET
brj-24822	169	9	weak	weak	ADJ
brj-24822	169	10	negative	negative	ADJ
brj-24822	169	11	correlation	correlation	NOUN
brj-24822	169	12	(	(	PUNCT
brj-24822	169	13	–	–	PUNCT
brj-24822	169	14	0.14	0.14	NUM
brj-24822	169	15	)	)	PUNCT
brj-24822	169	16	with	with	ADP
brj-24822	169	17	enzymatic	enzymatic	ADJ
brj-24822	169	18	hydrolysis	hydrolysis	NOUN
brj-24822	169	19	yield	yield	NOUN
brj-24822	169	20	.	.	PUNCT
brj-24822	170	1	mild	mild	ADJ
brj-24822	170	2	alkaline	alkaline	NOUN
brj-24822	170	3	pretreatment	pretreatment	NOUN
brj-24822	170	4	followed	follow	VERB
brj-24822	170	5	by	by	ADP
brj-24822	170	6	enzymatic	enzymatic	ADJ
brj-24822	170	7	hydrolysis	hydrolysis	NOUN
brj-24822	170	8	has	have	AUX
brj-24822	170	9	been	be	AUX
brj-24822	170	10	reported	report	VERB
brj-24822	170	11	to	to	PART
brj-24822	170	12	significantly	significantly	ADV
brj-24822	170	13	enhance	enhance	VERB
brj-24822	170	14	sugar	sugar	NOUN
brj-24822	170	15	yield	yield	NOUN
brj-24822	170	16	in	in	ADP
brj-24822	170	17	popular	popular	ADJ
brj-24822	170	18	.	.	PUNCT
brj-24822	171	1	similarly	similarly	ADV
brj-24822	171	2	,	,	PUNCT
brj-24822	171	3	in	in	ADP
brj-24822	171	4	non	non	ADJ
brj-24822	171	5	-	-	ADJ
brj-24822	171	6	woody	woody	ADJ
brj-24822	171	7	lignocellulosic	lignocellulosic	ADJ
brj-24822	171	8	materials	material	NOUN
brj-24822	171	9	such	such	ADJ
brj-24822	171	10	as	as	ADP
brj-24822	171	11	corn	corn	NOUN
brj-24822	171	12	stover	stover	NOUN
brj-24822	171	13	and	and	CCONJ
brj-24822	171	14	rice	rice	NOUN
brj-24822	171	15	straw	straw	NOUN
brj-24822	171	16	,	,	PUNCT
brj-24822	171	17	mild	mild	ADJ
brj-24822	171	18	naoh	naoh	NOUN
brj-24822	171	19	pretreatment	pretreatment	NOUN
brj-24822	171	20	has	have	AUX
brj-24822	171	21	been	be	AUX
brj-24822	171	22	shown	show	VERB
brj-24822	171	23	to	to	PART
brj-24822	171	24	facilitate	facilitate	VERB
brj-24822	171	25	enzymatic	enzymatic	ADJ
brj-24822	171	26	hydrolysis	hydrolysis	NOUN
brj-24822	171	27	(	(	PUNCT
brj-24822	171	28	ioelovich	ioelovich	NOUN
brj-24822	171	29	and	and	CCONJ
brj-24822	171	30	morag	morag	PROPN
brj-24822	171	31	2012	2012	NUM
brj-24822	171	32	)	)	PUNCT
brj-24822	171	33	.	.	PUNCT
brj-24822	172	1	ann	ann	PROPN
brj-24822	172	2	modeling	modeling	NOUN
brj-24822	172	3	for	for	ADP
brj-24822	172	4	enzymatic	enzymatic	ADJ
brj-24822	172	5	hydrolysis	hydrolysis	NOUN
brj-24822	172	6	rate	rate	NOUN
brj-24822	172	7	prediction	prediction	NOUN
brj-24822	172	8	in	in	ADP
brj-24822	172	9	this	this	DET
brj-24822	172	10	study	study	NOUN
brj-24822	172	11	,	,	PUNCT
brj-24822	172	12	an	an	DET
brj-24822	172	13	artificial	artificial	ADJ
brj-24822	172	14	neural	neural	ADJ
brj-24822	172	15	network	network	NOUN
brj-24822	172	16	(	(	PUNCT
brj-24822	172	17	ann	ann	PROPN
brj-24822	172	18	)	)	PUNCT
brj-24822	172	19	model	model	NOUN
brj-24822	172	20	was	be	AUX
brj-24822	172	21	employed	employ	VERB
brj-24822	172	22	to	to	PART
brj-24822	172	23	predict	predict	VERB
brj-24822	172	24	the	the	DET
brj-24822	172	25	enzymatic	enzymatic	ADJ
brj-24822	172	26	hydrolysis	hydrolysis	NOUN
brj-24822	172	27	rates	rate	NOUN
brj-24822	172	28	from	from	ADP
brj-24822	172	29	data	datum	NOUN
brj-24822	172	30	exhibiting	exhibit	VERB
brj-24822	172	31	a	a	DET
brj-24822	172	32	nonlinear	nonlinear	ADJ
brj-24822	172	33	relationship	relationship	NOUN
brj-24822	172	34	.	.	PUNCT
brj-24822	173	1	to	to	PART
brj-24822	173	2	prevent	prevent	VERB
brj-24822	173	3	model	model	NOUN
brj-24822	173	4	overfitting	overfitting	NOUN
brj-24822	173	5	and	and	CCONJ
brj-24822	173	6	enhance	enhance	VERB
brj-24822	173	7	its	its	PRON
brj-24822	173	8	generalization	generalization	NOUN
brj-24822	173	9	performance	performance	NOUN
brj-24822	173	10	,	,	PUNCT
brj-24822	173	11	the	the	DET
brj-24822	173	12	dataset	dataset	NOUN
brj-24822	173	13	was	be	AUX
brj-24822	173	14	randomly	randomly	ADV
brj-24822	173	15	partitioned	partition	VERB
brj-24822	173	16	into	into	ADP
brj-24822	173	17	training	training	NOUN
brj-24822	173	18	and	and	CCONJ
brj-24822	173	19	testing	testing	NOUN
brj-24822	173	20	subsets	subset	NOUN
brj-24822	173	21	,	,	PUNCT
brj-24822	173	22	with	with	ADP
brj-24822	173	23	80	80	NUM
brj-24822	173	24	%	%	NOUN
brj-24822	173	25	allocated	allocate	VERB
brj-24822	173	26	for	for	ADP
brj-24822	173	27	training	training	NOUN
brj-24822	173	28	and	and	CCONJ
brj-24822	173	29	the	the	DET
brj-24822	173	30	remaining	remain	VERB
brj-24822	173	31	20	20	NUM
brj-24822	173	32	%	%	NOUN
brj-24822	173	33	for	for	ADP
brj-24822	173	34	testing	testing	NOUN
brj-24822	173	35	.	.	PUNCT
brj-24822	174	1	fig	fig	NOUN
brj-24822	174	2	.	.	PUNCT
brj-24822	175	1	5	5	X
brj-24822	175	2	.	.	X
brj-24822	175	3	pearson	pearson	PROPN
brj-24822	175	4	correlation	correlation	PROPN
brj-24822	175	5	coefficient	coefficient	NOUN
brj-24822	175	6	to	to	PART
brj-24822	175	7	analyses	analyse	VERB
brj-24822	175	8	the	the	DET
brj-24822	175	9	relationship	relationship	NOUN
brj-24822	175	10	between	between	ADP
brj-24822	175	11	process	process	NOUN
brj-24822	175	12	variables	variable	NOUN
brj-24822	175	13	and	and	CCONJ
brj-24822	175	14	enzymatic	enzymatic	ADJ
brj-24822	175	15	hydrolysis	hydrolysis	NOUN
brj-24822	175	16	rates	rate	NOUN
brj-24822	175	17	peer	peer	NOUN
brj-24822	175	18	-	-	PUNCT
brj-24822	175	19	reviewed	review	VERB
brj-24822	175	20	article	article	NOUN
brj-24822	175	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	175	22	kim	kim	PROPN
brj-24822	175	23	et	et	PROPN
brj-24822	175	24	al	al	PROPN
brj-24822	175	25	.	.	PROPN
brj-24822	176	1	(	(	PUNCT
brj-24822	176	2	2025	2025	NUM
brj-24822	176	3	)	)	PUNCT
brj-24822	176	4	.	.	PUNCT
brj-24822	177	1	“	"	PUNCT
brj-24822	177	2	steam	steam	NOUN
brj-24822	177	3	&	&	CCONJ
brj-24822	177	4	naoh	naoh	PROPN
brj-24822	177	5	pretreatments	pretreatment	NOUN
brj-24822	177	6	,	,	PUNCT
brj-24822	177	7	”	"	PUNCT
brj-24822	177	8	bioresources	bioresource	VERB
brj-24822	177	9	20(4	20(4	NOUN
brj-24822	177	10	)	)	PUNCT
brj-24822	177	11	,	,	PUNCT
brj-24822	177	12	8400	8400	NUM
brj-24822	177	13	-	-	SYM
brj-24822	177	14	8419	8419	NUM
brj-24822	177	15	.	.	PUNCT
brj-24822	178	1	8410	8410	NUM
brj-24822	178	2	hyperparameter	hyperparameter	NOUN
brj-24822	178	3	optimization	optimization	NOUN
brj-24822	178	4	of	of	ADP
brj-24822	178	5	the	the	DET
brj-24822	178	6	ann	ann	PROPN
brj-24822	178	7	model	model	NOUN
brj-24822	178	8	was	be	AUX
brj-24822	178	9	conducted	conduct	VERB
brj-24822	178	10	using	use	VERB
brj-24822	178	11	the	the	DET
brj-24822	178	12	random	random	ADJ
brj-24822	178	13	search	search	NOUN
brj-24822	178	14	method	method	NOUN
brj-24822	178	15	.	.	PUNCT
brj-24822	179	1	this	this	DET
brj-24822	179	2	approach	approach	NOUN
brj-24822	179	3	has	have	AUX
brj-24822	179	4	been	be	AUX
brj-24822	179	5	reported	report	VERB
brj-24822	179	6	to	to	PART
brj-24822	179	7	yield	yield	VERB
brj-24822	179	8	optimal	optimal	ADJ
brj-24822	179	9	models	model	NOUN
brj-24822	179	10	more	more	ADV
brj-24822	179	11	efficiently	efficiently	ADV
brj-24822	179	12	compared	compare	VERB
brj-24822	179	13	to	to	ADP
brj-24822	179	14	grid	grid	NOUN
brj-24822	179	15	search	search	NOUN
brj-24822	179	16	methods	method	NOUN
brj-24822	179	17	,	,	PUNCT
brj-24822	179	18	either	either	CCONJ
brj-24822	179	19	achieving	achieve	VERB
brj-24822	179	20	similar	similar	ADJ
brj-24822	179	21	performance	performance	NOUN
brj-24822	179	22	or	or	CCONJ
brj-24822	179	23	requiring	require	VERB
brj-24822	179	24	less	less	ADV
brj-24822	179	25	computational	computational	ADJ
brj-24822	179	26	time	time	NOUN
brj-24822	179	27	(	(	PUNCT
brj-24822	179	28	bergstra	bergstra	NOUN
brj-24822	179	29	and	and	CCONJ
brj-24822	179	30	bengio	bengio	NOUN
brj-24822	179	31	2012	2012	NUM
brj-24822	179	32	)	)	PUNCT
brj-24822	179	33	.	.	PUNCT
brj-24822	180	1	multiple	multiple	ADJ
brj-24822	180	2	ann	ann	PROPN
brj-24822	180	3	training	training	NOUN
brj-24822	180	4	iterations	iteration	NOUN
brj-24822	180	5	were	be	AUX
brj-24822	180	6	performed	perform	VERB
brj-24822	180	7	to	to	PART
brj-24822	180	8	identify	identify	VERB
brj-24822	180	9	hyperparameters	hyperparameter	NOUN
brj-24822	180	10	that	that	PRON
brj-24822	180	11	minimized	minimize	VERB
brj-24822	180	12	the	the	DET
brj-24822	180	13	loss	loss	NOUN
brj-24822	180	14	function	function	NOUN
brj-24822	180	15	,	,	PUNCT
brj-24822	180	16	mean	mean	VERB
brj-24822	180	17	squared	square	VERB
brj-24822	180	18	error	error	NOUN
brj-24822	180	19	(	(	PUNCT
brj-24822	180	20	mse	mse	NOUN
brj-24822	180	21	)	)	PUNCT
brj-24822	180	22	.	.	PUNCT
brj-24822	181	1	as	as	SCONJ
brj-24822	181	2	illustrated	illustrate	VERB
brj-24822	181	3	in	in	ADP
brj-24822	181	4	fig	fig	NOUN
brj-24822	181	5	.	.	PUNCT
brj-24822	182	1	6	6	NUM
brj-24822	182	2	,	,	PUNCT
brj-24822	182	3	the	the	DET
brj-24822	182	4	mse	mse	NOUN
brj-24822	182	5	value	value	NOUN
brj-24822	182	6	converged	converge	VERB
brj-24822	182	7	to	to	ADP
brj-24822	182	8	a	a	DET
brj-24822	182	9	minimum	minimum	NOUN
brj-24822	182	10	and	and	CCONJ
brj-24822	182	11	remained	remain	VERB
brj-24822	182	12	constant	constant	ADJ
brj-24822	182	13	after	after	ADP
brj-24822	182	14	approximately	approximately	ADV
brj-24822	182	15	175	175	NUM
brj-24822	182	16	training	training	NOUN
brj-24822	182	17	runs	run	NOUN
brj-24822	182	18	,	,	PUNCT
brj-24822	182	19	indicating	indicate	VERB
brj-24822	182	20	stabilization	stabilization	NOUN
brj-24822	182	21	of	of	ADP
brj-24822	182	22	the	the	DET
brj-24822	182	23	ann	ann	PROPN
brj-24822	182	24	model	model	NOUN
brj-24822	182	25	parameters	parameter	NOUN
brj-24822	182	26	.	.	PUNCT
brj-24822	183	1	the	the	DET
brj-24822	183	2	optimized	optimize	VERB
brj-24822	183	3	ann	ann	PROPN
brj-24822	183	4	model	model	NOUN
brj-24822	183	5	architecture	architecture	NOUN
brj-24822	183	6	consisted	consist	VERB
brj-24822	183	7	of	of	ADP
brj-24822	183	8	an	an	DET
brj-24822	183	9	input	input	NOUN
brj-24822	183	10	layer	layer	NOUN
brj-24822	183	11	that	that	PRON
brj-24822	183	12	integrated	integrate	VERB
brj-24822	183	13	four	four	NUM
brj-24822	183	14	process	process	NOUN
brj-24822	183	15	variables	variable	NOUN
brj-24822	183	16	:	:	PUNCT
brj-24822	183	17	presence	presence	NOUN
brj-24822	183	18	of	of	ADP
brj-24822	183	19	bark	bark	NOUN
brj-24822	183	20	,	,	PUNCT
brj-24822	183	21	chemical	chemical	NOUN
brj-24822	183	22	pretreatment	pretreatment	NOUN
brj-24822	183	23	time	time	NOUN
brj-24822	183	24	,	,	PUNCT
brj-24822	183	25	chemical	chemical	NOUN
brj-24822	183	26	concentration	concentration	NOUN
brj-24822	183	27	,	,	PUNCT
brj-24822	183	28	and	and	CCONJ
brj-24822	183	29	steam	steam	NOUN
brj-24822	183	30	explosion	explosion	NOUN
brj-24822	183	31	time	time	NOUN
brj-24822	183	32	.	.	PUNCT
brj-24822	184	1	this	this	DET
brj-24822	184	2	input	input	NOUN
brj-24822	184	3	layer	layer	NOUN
brj-24822	184	4	was	be	AUX
brj-24822	184	5	connected	connect	VERB
brj-24822	184	6	to	to	ADP
brj-24822	184	7	a	a	DET
brj-24822	184	8	hidden	hide	VERB
brj-24822	184	9	layer	layer	NOUN
brj-24822	184	10	with	with	ADP
brj-24822	184	11	64	64	NUM
brj-24822	184	12	neurons	neuron	NOUN
brj-24822	184	13	and	and	CCONJ
brj-24822	184	14	a	a	DET
brj-24822	184	15	single	single	ADJ
brj-24822	184	16	output	output	NOUN
brj-24822	184	17	layer	layer	NOUN
brj-24822	184	18	that	that	PRON
brj-24822	184	19	produced	produce	VERB
brj-24822	184	20	the	the	DET
brj-24822	184	21	predicted	predict	VERB
brj-24822	184	22	enzymatic	enzymatic	ADJ
brj-24822	184	23	hydrolysis	hydrolysis	NOUN
brj-24822	184	24	yield	yield	NOUN
brj-24822	184	25	.	.	PUNCT
brj-24822	185	1	each	each	DET
brj-24822	185	2	neuron	neuron	NOUN
brj-24822	185	3	computed	compute	VERB
brj-24822	185	4	the	the	DET
brj-24822	185	5	weighted	weighted	ADJ
brj-24822	185	6	sum	sum	NOUN
brj-24822	185	7	of	of	ADP
brj-24822	185	8	the	the	DET
brj-24822	185	9	inputs	input	NOUN
brj-24822	185	10	,	,	PUNCT
brj-24822	185	11	added	add	VERB
brj-24822	185	12	a	a	DET
brj-24822	185	13	bias	bias	NOUN
brj-24822	185	14	term	term	NOUN
brj-24822	185	15	,	,	PUNCT
brj-24822	185	16	and	and	CCONJ
brj-24822	185	17	passed	pass	VERB
brj-24822	185	18	the	the	DET
brj-24822	185	19	result	result	NOUN
brj-24822	185	20	to	to	ADP
brj-24822	185	21	the	the	DET
brj-24822	185	22	next	next	ADJ
brj-24822	185	23	layer	layer	NOUN
brj-24822	185	24	.	.	PUNCT
brj-24822	186	1	the	the	DET
brj-24822	186	2	rectified	rectify	VERB
brj-24822	186	3	linear	linear	PROPN
brj-24822	186	4	unit	unit	NOUN
brj-24822	186	5	(	(	PUNCT
brj-24822	186	6	relu	relu	NOUN
brj-24822	186	7	)	)	PUNCT
brj-24822	186	8	function	function	NOUN
brj-24822	186	9	was	be	AUX
brj-24822	186	10	employed	employ	VERB
brj-24822	186	11	as	as	ADP
brj-24822	186	12	the	the	DET
brj-24822	186	13	activation	activation	NOUN
brj-24822	186	14	function	function	NOUN
brj-24822	186	15	for	for	ADP
brj-24822	186	16	the	the	DET
brj-24822	186	17	hidden	hide	VERB
brj-24822	186	18	layer	layer	NOUN
brj-24822	186	19	.	.	PUNCT
brj-24822	187	1	dropout	dropout	NOUN
brj-24822	187	2	was	be	AUX
brj-24822	187	3	set	set	VERB
brj-24822	187	4	to	to	ADP
brj-24822	187	5	0	0	NUM
brj-24822	187	6	,	,	PUNCT
brj-24822	187	7	and	and	CCONJ
brj-24822	187	8	batch	batch	NOUN
brj-24822	187	9	normalization	normalization	NOUN
brj-24822	187	10	was	be	AUX
brj-24822	187	11	disabled	disabled	ADJ
brj-24822	187	12	(	(	PUNCT
brj-24822	187	13	batchnorm	batchnorm	NOUN
brj-24822	187	14	=	=	SYM
brj-24822	187	15	false	false	ADJ
brj-24822	187	16	)	)	PUNCT
brj-24822	187	17	.	.	PUNCT
brj-24822	188	1	the	the	DET
brj-24822	188	2	adam	adam	PROPN
brj-24822	188	3	optimizer	optimizer	NOUN
brj-24822	188	4	was	be	AUX
brj-24822	188	5	used	use	VERB
brj-24822	188	6	to	to	PART
brj-24822	188	7	iteratively	iteratively	ADV
brj-24822	188	8	adjust	adjust	VERB
brj-24822	188	9	the	the	DET
brj-24822	188	10	network	network	NOUN
brj-24822	188	11	weights	weight	NOUN
brj-24822	188	12	based	base	VERB
brj-24822	188	13	on	on	ADP
brj-24822	188	14	the	the	DET
brj-24822	188	15	computed	computed	ADJ
brj-24822	188	16	loss	loss	NOUN
brj-24822	188	17	function	function	NOUN
brj-24822	188	18	.	.	PUNCT
brj-24822	189	1	the	the	DET
brj-24822	189	2	architecture	architecture	NOUN
brj-24822	189	3	of	of	ADP
brj-24822	189	4	the	the	DET
brj-24822	189	5	optimized	optimize	VERB
brj-24822	189	6	model	model	NOUN
brj-24822	189	7	is	be	AUX
brj-24822	189	8	illustrated	illustrate	VERB
brj-24822	189	9	in	in	ADP
brj-24822	189	10	fig	fig	NOUN
brj-24822	189	11	.	.	PUNCT
brj-24822	190	1	7	7	X
brj-24822	190	2	.	.	X
brj-24822	190	3	fig	fig	NOUN
brj-24822	190	4	.	.	PUNCT
brj-24822	191	1	6	6	X
brj-24822	191	2	.	.	PUNCT
brj-24822	191	3	mean	mean	ADJ
brj-24822	191	4	square	square	ADJ
brj-24822	191	5	error	error	NOUN
brj-24822	191	6	(	(	PUNCT
brj-24822	191	7	mse	mse	NOUN
brj-24822	191	8	)	)	PUNCT
brj-24822	191	9	of	of	ADP
brj-24822	191	10	the	the	DET
brj-24822	191	11	proposed	propose	VERB
brj-24822	191	12	ann	ann	PROPN
brj-24822	191	13	model	model	NOUN
brj-24822	191	14	for	for	ADP
brj-24822	191	15	predicting	predict	VERB
brj-24822	191	16	the	the	DET
brj-24822	191	17	enzyme	enzyme	NOUN
brj-24822	191	18	hydrolysis	hydrolysis	NOUN
brj-24822	191	19	rate	rate	NOUN
brj-24822	191	20	of	of	ADP
brj-24822	191	21	500	500	NUM
brj-24822	191	22	epochs	epoch	NOUN
brj-24822	191	23	peer	peer	NOUN
brj-24822	191	24	-	-	PUNCT
brj-24822	191	25	reviewed	review	VERB
brj-24822	191	26	article	article	NOUN
brj-24822	191	27	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	191	28	kim	kim	PROPN
brj-24822	191	29	et	et	PROPN
brj-24822	191	30	al	al	PROPN
brj-24822	191	31	.	.	PROPN
brj-24822	192	1	(	(	PUNCT
brj-24822	192	2	2025	2025	NUM
brj-24822	192	3	)	)	PUNCT
brj-24822	192	4	.	.	PUNCT
brj-24822	193	1	“	"	PUNCT
brj-24822	193	2	steam	steam	NOUN
brj-24822	193	3	&	&	CCONJ
brj-24822	193	4	naoh	naoh	PROPN
brj-24822	193	5	pretreatments	pretreatment	NOUN
brj-24822	193	6	,	,	PUNCT
brj-24822	193	7	”	"	PUNCT
brj-24822	193	8	bioresources	bioresource	VERB
brj-24822	193	9	20(4	20(4	NOUN
brj-24822	193	10	)	)	PUNCT
brj-24822	193	11	,	,	PUNCT
brj-24822	193	12	8400	8400	NUM
brj-24822	193	13	-	-	SYM
brj-24822	193	14	8419	8419	NUM
brj-24822	193	15	.	.	PUNCT
brj-24822	194	1	8411	8411	NUM
brj-24822	194	2	fig	fig	NOUN
brj-24822	194	3	.	.	PUNCT
brj-24822	195	1	7	7	X
brj-24822	195	2	.	.	X
brj-24822	195	3	neural	neural	ADJ
brj-24822	195	4	network	network	NOUN
brj-24822	195	5	topology	topology	NOUN
brj-24822	195	6	of	of	ADP
brj-24822	195	7	the	the	DET
brj-24822	195	8	optimized	optimize	VERB
brj-24822	195	9	ann	ann	PROPN
brj-24822	195	10	model	model	NOUN
brj-24822	195	11	to	to	PART
brj-24822	195	12	evaluate	evaluate	VERB
brj-24822	195	13	the	the	DET
brj-24822	195	14	potential	potential	NOUN
brj-24822	195	15	for	for	ADP
brj-24822	195	16	underfitting	underfitting	NOUN
brj-24822	195	17	and	and	CCONJ
brj-24822	195	18	overfitting	overfitting	NOUN
brj-24822	195	19	in	in	ADP
brj-24822	195	20	the	the	DET
brj-24822	195	21	optimized	optimize	VERB
brj-24822	195	22	model	model	NOUN
brj-24822	195	23	,	,	PUNCT
brj-24822	195	24	the	the	DET
brj-24822	195	25	model	model	NOUN
brj-24822	195	26	was	be	AUX
brj-24822	195	27	trained	train	VERB
brj-24822	195	28	and	and	CCONJ
brj-24822	195	29	assessed	assess	VERB
brj-24822	195	30	using	use	VERB
brj-24822	195	31	different	different	ADJ
brj-24822	195	32	data	datum	NOUN
brj-24822	195	33	split	split	NOUN
brj-24822	195	34	ratios	ratio	NOUN
brj-24822	195	35	.	.	PUNCT
brj-24822	196	1	(	(	PUNCT
brj-24822	196	2	table	table	NOUN
brj-24822	196	3	2	2	NUM
brj-24822	196	4	)	)	PUNCT
brj-24822	196	5	table	table	NOUN
brj-24822	196	6	2	2	NUM
brj-24822	196	7	.	.	PUNCT
brj-24822	196	8	performance	performance	NOUN
brj-24822	196	9	of	of	ADP
brj-24822	196	10	different	different	ADJ
brj-24822	196	11	data	datum	NOUN
brj-24822	196	12	split	split	VERB
brj-24822	196	13	ratio	ratio	NOUN
brj-24822	196	14	for	for	ADP
brj-24822	196	15	prediction	prediction	NOUN
brj-24822	196	16	of	of	ADP
brj-24822	196	17	enzyme	enzyme	NOUN
brj-24822	196	18	hydrolysis	hydrolysis	NOUN
brj-24822	196	19	rate	rate	NOUN
brj-24822	196	20	data	datum	NOUN
brj-24822	196	21	split	split	VERB
brj-24822	196	22	ratio	ratio	NOUN
brj-24822	196	23	(	(	PUNCT
brj-24822	196	24	train	train	NOUN
brj-24822	196	25	:	:	PUNCT
brj-24822	196	26	test	test	NOUN
brj-24822	196	27	)	)	PUNCT
brj-24822	197	1	enzyme	enzyme	NOUN
brj-24822	197	2	hydrolysis	hydrolysis	NOUN
brj-24822	197	3	rate	rate	NOUN
brj-24822	197	4	train	train	NOUN
brj-24822	197	5	r2	r2	PROPN
brj-24822	197	6	train	train	PROPN
brj-24822	197	7	mse	mse	PROPN
brj-24822	197	8	test	test	NOUN
brj-24822	197	9	r2	r2	PROPN
brj-24822	197	10	test	test	NOUN
brj-24822	197	11	mse	mse	PROPN
brj-24822	197	12	75:25	75:25	NUM
brj-24822	197	13	0.9331	0.9331	NUM
brj-24822	198	1	4.4124	4.4124	NUM
brj-24822	198	2	0.9781	0.9781	NUM
brj-24822	198	3	2.5552	2.5552	NUM
brj-24822	198	4	80:20	80:20	NUM
brj-24822	198	5	0.9373	0.9373	NUM
brj-24822	198	6	4.4100	4.4100	NUM
brj-24822	198	7	0.9805	0.9805	NUM
brj-24822	198	8	2.4258	2.4258	NUM
brj-24822	198	9	85:15	85:15	NUM
brj-24822	198	10	0.9381	0.9381	NUM
brj-24822	198	11	4.4053	4.4053	NUM
brj-24822	198	12	0.9815	0.9815	NUM
brj-24822	198	13	2.3417	2.3417	NUM
brj-24822	198	14	as	as	SCONJ
brj-24822	198	15	shown	show	VERB
brj-24822	198	16	in	in	ADP
brj-24822	198	17	table	table	NOUN
brj-24822	198	18	2	2	NUM
brj-24822	198	19	,	,	PUNCT
brj-24822	198	20	when	when	SCONJ
brj-24822	198	21	the	the	DET
brj-24822	198	22	data	datum	NOUN
brj-24822	198	23	split	split	VERB
brj-24822	198	24	ratio	ratio	NOUN
brj-24822	198	25	was	be	AUX
brj-24822	198	26	adjusted	adjust	VERB
brj-24822	198	27	to	to	ADP
brj-24822	198	28	85:15	85:15	NUM
brj-24822	198	29	using	use	VERB
brj-24822	198	30	the	the	DET
brj-24822	198	31	same	same	ADJ
brj-24822	198	32	dataset	dataset	NOUN
brj-24822	198	33	,	,	PUNCT
brj-24822	198	34	the	the	DET
brj-24822	198	35	resulting	result	VERB
brj-24822	198	36	train	train	NOUN
brj-24822	198	37	r²	r²	NOUN
brj-24822	198	38	and	and	CCONJ
brj-24822	198	39	test	test	NOUN
brj-24822	198	40	r²	r²	NOUN
brj-24822	198	41	were	be	AUX
brj-24822	198	42	0.9381	0.9381	NUM
brj-24822	198	43	and	and	CCONJ
brj-24822	198	44	0.9815	0.9815	NUM
brj-24822	198	45	,	,	PUNCT
brj-24822	198	46	respectively	respectively	ADV
brj-24822	198	47	,	,	PUNCT
brj-24822	198	48	and	and	CCONJ
brj-24822	198	49	the	the	DET
brj-24822	198	50	train	train	NOUN
brj-24822	198	51	mse	mse	NOUN
brj-24822	198	52	and	and	CCONJ
brj-24822	198	53	test	test	NOUN
brj-24822	198	54	mse	mse	PROPN
brj-24822	198	55	were	be	AUX
brj-24822	198	56	4.4053	4.4053	NUM
brj-24822	198	57	and	and	CCONJ
brj-24822	198	58	2.3417	2.3417	NUM
brj-24822	198	59	.	.	PUNCT
brj-24822	199	1	compared	compare	VERB
brj-24822	199	2	to	to	ADP
brj-24822	199	3	the	the	DET
brj-24822	199	4	results	result	NOUN
brj-24822	199	5	obtained	obtain	VERB
brj-24822	199	6	with	with	ADP
brj-24822	199	7	an	an	DET
brj-24822	199	8	80:20	80:20	NUM
brj-24822	199	9	split	split	NOUN
brj-24822	199	10	,	,	PUNCT
brj-24822	199	11	the	the	DET
brj-24822	199	12	variation	variation	NOUN
brj-24822	199	13	in	in	ADP
brj-24822	199	14	error	error	NOUN
brj-24822	199	15	metrics	metric	NOUN
brj-24822	199	16	remained	remain	VERB
brj-24822	199	17	within	within	ADP
brj-24822	199	18	3	3	NUM
brj-24822	199	19	%	%	NOUN
brj-24822	199	20	,	,	PUNCT
brj-24822	199	21	indicating	indicate	VERB
brj-24822	199	22	that	that	SCONJ
brj-24822	199	23	overfitting	overfitting	NOUN
brj-24822	199	24	was	be	AUX
brj-24822	199	25	not	not	PART
brj-24822	199	26	observed	observe	VERB
brj-24822	199	27	even	even	ADV
brj-24822	199	28	when	when	SCONJ
brj-24822	199	29	the	the	DET
brj-24822	199	30	proportion	proportion	NOUN
brj-24822	199	31	of	of	ADP
brj-24822	199	32	training	training	NOUN
brj-24822	199	33	data	datum	NOUN
brj-24822	199	34	increased	increase	VERB
brj-24822	199	35	.	.	PUNCT
brj-24822	200	1	likewise	likewise	ADV
brj-24822	200	2	,	,	PUNCT
brj-24822	200	3	under	under	ADP
brj-24822	200	4	a	a	DET
brj-24822	200	5	75:25	75:25	NUM
brj-24822	200	6	split	split	NOUN
brj-24822	200	7	ratio	ratio	NOUN
brj-24822	200	8	,	,	PUNCT
brj-24822	200	9	the	the	DET
brj-24822	200	10	train	train	NOUN
brj-24822	200	11	r²	r²	NOUN
brj-24822	200	12	and	and	CCONJ
brj-24822	200	13	test	test	NOUN
brj-24822	200	14	r²	r²	NOUN
brj-24822	200	15	values	value	NOUN
brj-24822	200	16	were	be	AUX
brj-24822	200	17	0.9331	0.9331	NUM
brj-24822	200	18	and	and	CCONJ
brj-24822	200	19	0.9781	0.9781	NUM
brj-24822	200	20	,	,	PUNCT
brj-24822	200	21	respectively	respectively	ADV
brj-24822	200	22	,	,	PUNCT
brj-24822	200	23	and	and	CCONJ
brj-24822	200	24	the	the	DET
brj-24822	200	25	train	train	NOUN
brj-24822	200	26	and	and	CCONJ
brj-24822	200	27	test	test	NOUN
brj-24822	200	28	mse	mse	NOUN
brj-24822	200	29	values	value	NOUN
brj-24822	200	30	were	be	AUX
brj-24822	200	31	4.7824	4.7824	NUM
brj-24822	200	32	and	and	CCONJ
brj-24822	200	33	2.5552	2.5552	NUM
brj-24822	200	34	.	.	PUNCT
brj-24822	201	1	the	the	DET
brj-24822	201	2	performance	performance	NOUN
brj-24822	201	3	deviation	deviation	NOUN
brj-24822	201	4	remained	remain	VERB
brj-24822	201	5	within	within	ADP
brj-24822	201	6	5	5	NUM
brj-24822	201	7	%	%	NOUN
brj-24822	201	8	relative	relative	ADJ
brj-24822	201	9	to	to	ADP
brj-24822	201	10	the	the	DET
brj-24822	201	11	80:20	80:20	NUM
brj-24822	201	12	baseline	baseline	NOUN
brj-24822	201	13	,	,	PUNCT
brj-24822	201	14	suggesting	suggest	VERB
brj-24822	201	15	that	that	SCONJ
brj-24822	201	16	underfitting	underfitting	NOUN
brj-24822	201	17	did	do	AUX
brj-24822	201	18	not	not	PART
brj-24822	201	19	occur	occur	VERB
brj-24822	201	20	when	when	SCONJ
brj-24822	201	21	the	the	DET
brj-24822	201	22	training	training	NOUN
brj-24822	201	23	data	datum	NOUN
brj-24822	201	24	size	size	NOUN
brj-24822	201	25	was	be	AUX
brj-24822	201	26	reduced	reduce	VERB
brj-24822	201	27	.	.	PUNCT
brj-24822	202	1	these	these	DET
brj-24822	202	2	results	result	VERB
brj-24822	202	3	validate	validate	VERB
brj-24822	202	4	that	that	SCONJ
brj-24822	202	5	the	the	DET
brj-24822	202	6	developed	develop	VERB
brj-24822	202	7	artificial	artificial	ADJ
brj-24822	202	8	neural	neural	ADJ
brj-24822	202	9	network	network	NOUN
brj-24822	202	10	(	(	PUNCT
brj-24822	202	11	ann	ann	PROPN
brj-24822	202	12	)	)	PUNCT
brj-24822	202	13	model	model	NOUN
brj-24822	202	14	effectively	effectively	ADV
brj-24822	202	15	learned	learn	VERB
brj-24822	202	16	the	the	DET
brj-24822	202	17	data	datum	NOUN
brj-24822	202	18	without	without	ADP
brj-24822	202	19	experiencing	experience	VERB
brj-24822	202	20	underfitting	underfitting	NOUN
brj-24822	202	21	or	or	CCONJ
brj-24822	202	22	overfitting	overfitting	NOUN
brj-24822	202	23	,	,	PUNCT
brj-24822	202	24	and	and	CCONJ
brj-24822	202	25	it	it	PRON
brj-24822	202	26	can	can	AUX
brj-24822	202	27	robustly	robustly	ADV
brj-24822	202	28	predict	predict	VERB
brj-24822	202	29	enzymatic	enzymatic	ADJ
brj-24822	202	30	hydrolysis	hydrolysis	NOUN
brj-24822	202	31	yield	yield	NOUN
brj-24822	202	32	based	base	VERB
brj-24822	202	33	on	on	ADP
brj-24822	202	34	process	process	NOUN
brj-24822	202	35	parameters	parameter	NOUN
brj-24822	202	36	.	.	PUNCT
brj-24822	203	1	the	the	DET
brj-24822	203	2	train	train	NOUN
brj-24822	203	3	-	-	PUNCT
brj-24822	203	4	test	test	NOUN
brj-24822	203	5	split	split	NOUN
brj-24822	203	6	ratio	ratio	NOUN
brj-24822	203	7	is	be	AUX
brj-24822	203	8	known	know	VERB
brj-24822	203	9	to	to	PART
brj-24822	203	10	be	be	AUX
brj-24822	203	11	a	a	DET
brj-24822	203	12	critical	critical	ADJ
brj-24822	203	13	factor	factor	NOUN
brj-24822	203	14	that	that	PRON
brj-24822	203	15	influences	influence	VERB
brj-24822	203	16	model	model	NOUN
brj-24822	203	17	accuracy	accuracy	NOUN
brj-24822	203	18	(	(	PUNCT
brj-24822	203	19	huang	huang	PROPN
brj-24822	203	20	et	et	PROPN
brj-24822	203	21	al	al	PROPN
brj-24822	203	22	.	.	PROPN
brj-24822	203	23	2023	2023	NUM
brj-24822	203	24	)	)	PUNCT
brj-24822	203	25	.	.	PUNCT
brj-24822	204	1	many	many	ADJ
brj-24822	204	2	researchers	researcher	NOUN
brj-24822	204	3	typically	typically	ADV
brj-24822	204	4	follow	follow	VERB
brj-24822	204	5	the	the	DET
brj-24822	204	6	pareto	pareto	ADJ
brj-24822	204	7	principle	principle	NOUN
brj-24822	204	8	and	and	CCONJ
brj-24822	204	9	adopt	adopt	VERB
brj-24822	204	10	an	an	DET
brj-24822	204	11	80:20	80:20	NUM
brj-24822	204	12	data	datum	NOUN
brj-24822	204	13	split	split	VERB
brj-24822	204	14	for	for	ADP
brj-24822	204	15	model	model	NOUN
brj-24822	204	16	development	development	NOUN
brj-24822	204	17	(	(	PUNCT
brj-24822	204	18	chen	chen	PROPN
brj-24822	204	19	et	et	PROPN
brj-24822	204	20	al	al	PROPN
brj-24822	204	21	.	.	PROPN
brj-24822	204	22	1994	1994	NUM
brj-24822	204	23	)	)	PUNCT
brj-24822	204	24	.	.	PUNCT
brj-24822	205	1	the	the	DET
brj-24822	205	2	present	present	ADJ
brj-24822	205	3	study	study	NOUN
brj-24822	205	4	also	also	ADV
brj-24822	205	5	supports	support	VERB
brj-24822	205	6	the	the	DET
brj-24822	205	7	suitability	suitability	NOUN
brj-24822	205	8	of	of	ADP
brj-24822	205	9	this	this	DET
brj-24822	205	10	principle	principle	NOUN
brj-24822	205	11	,	,	PUNCT
brj-24822	205	12	as	as	SCONJ
brj-24822	205	13	evidenced	evidence	VERB
brj-24822	205	14	by	by	ADP
brj-24822	205	15	the	the	DET
brj-24822	205	16	results	result	NOUN
brj-24822	205	17	in	in	ADP
brj-24822	205	18	table	table	NOUN
brj-24822	205	19	2	2	NUM
brj-24822	205	20	.	.	PUNCT
brj-24822	205	21	model	model	NOUN
brj-24822	205	22	comparison	comparison	NOUN
brj-24822	205	23	analysis	analysis	NOUN
brj-24822	205	24	both	both	CCONJ
brj-24822	205	25	graphical	graphical	ADJ
brj-24822	205	26	and	and	CCONJ
brj-24822	205	27	statistical	statistical	ADJ
brj-24822	205	28	approaches	approach	NOUN
brj-24822	205	29	were	be	AUX
brj-24822	205	30	employed	employ	VERB
brj-24822	205	31	to	to	PART
brj-24822	205	32	compare	compare	VERB
brj-24822	205	33	the	the	DET
brj-24822	205	34	predictive	predictive	ADJ
brj-24822	205	35	capabilities	capability	NOUN
brj-24822	205	36	of	of	ADP
brj-24822	205	37	the	the	DET
brj-24822	205	38	ann	ann	PROPN
brj-24822	205	39	,	,	PUNCT
brj-24822	205	40	rf	rf	PROPN
brj-24822	205	41	,	,	PUNCT
brj-24822	205	42	svr	svr	NOUN
brj-24822	205	43	,	,	PUNCT
brj-24822	205	44	and	and	CCONJ
brj-24822	205	45	xgb	xgb	NOUN
brj-24822	205	46	models	model	NOUN
brj-24822	205	47	with	with	ADP
brj-24822	205	48	respect	respect	NOUN
brj-24822	205	49	to	to	ADP
brj-24822	205	50	the	the	DET
brj-24822	205	51	enzymatic	enzymatic	ADJ
brj-24822	205	52	hydrolysis	hydrolysis	NOUN
brj-24822	205	53	rate	rate	NOUN
brj-24822	205	54	of	of	ADP
brj-24822	205	55	steam	steam	NOUN
brj-24822	205	56	-	-	PUNCT
brj-24822	205	57	exploded	explode	VERB
brj-24822	205	58	pine	pine	ADJ
brj-24822	205	59	wood	wood	NOUN
brj-24822	205	60	chips	chip	NOUN
brj-24822	205	61	.	.	PUNCT
brj-24822	206	1	the	the	DET
brj-24822	206	2	accuracy	accuracy	NOUN
brj-24822	206	3	of	of	ADP
brj-24822	206	4	each	each	DET
brj-24822	206	5	model	model	NOUN
brj-24822	206	6	was	be	AUX
brj-24822	206	7	evaluated	evaluate	VERB
brj-24822	206	8	using	use	VERB
brj-24822	206	9	two	two	NUM
brj-24822	206	10	statistical	statistical	ADJ
brj-24822	206	11	metrics	metric	NOUN
brj-24822	206	12	:	:	PUNCT
brj-24822	206	13	the	the	DET
brj-24822	206	14	coefficient	coefficient	NOUN
brj-24822	206	15	of	of	ADP
brj-24822	206	16	determination	determination	NOUN
brj-24822	206	17	peer	peer	NOUN
brj-24822	206	18	-	-	PUNCT
brj-24822	206	19	reviewed	review	VERB
brj-24822	206	20	article	article	NOUN
brj-24822	206	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	206	22	kim	kim	PROPN
brj-24822	206	23	et	et	PROPN
brj-24822	206	24	al	al	PROPN
brj-24822	206	25	.	.	PROPN
brj-24822	207	1	(	(	PUNCT
brj-24822	207	2	2025	2025	NUM
brj-24822	207	3	)	)	PUNCT
brj-24822	207	4	.	.	PUNCT
brj-24822	208	1	“	"	PUNCT
brj-24822	208	2	steam	steam	NOUN
brj-24822	208	3	&	&	CCONJ
brj-24822	208	4	naoh	naoh	PROPN
brj-24822	208	5	pretreatments	pretreatment	NOUN
brj-24822	208	6	,	,	PUNCT
brj-24822	208	7	”	"	PUNCT
brj-24822	208	8	bioresources	bioresource	VERB
brj-24822	208	9	20(4	20(4	NOUN
brj-24822	208	10	)	)	PUNCT
brj-24822	208	11	,	,	PUNCT
brj-24822	208	12	8400	8400	NUM
brj-24822	208	13	-	-	SYM
brj-24822	208	14	8419	8419	NUM
brj-24822	208	15	.	.	PUNCT
brj-24822	209	1	8412	8412	NUM
brj-24822	209	2	(	(	PUNCT
brj-24822	209	3	r²	r²	NOUN
brj-24822	209	4	)	)	PUNCT
brj-24822	209	5	and	and	CCONJ
brj-24822	209	6	the	the	DET
brj-24822	209	7	mean	mean	ADJ
brj-24822	209	8	squared	square	VERB
brj-24822	209	9	error	error	NOUN
brj-24822	209	10	(	(	PUNCT
brj-24822	209	11	mse	mse	NOUN
brj-24822	209	12	)	)	PUNCT
brj-24822	209	13	.	.	PUNCT
brj-24822	210	1	as	as	SCONJ
brj-24822	210	2	presented	present	VERB
brj-24822	210	3	in	in	ADP
brj-24822	210	4	table	table	NOUN
brj-24822	210	5	3	3	NUM
brj-24822	210	6	,	,	PUNCT
brj-24822	210	7	the	the	DET
brj-24822	210	8	training	training	NOUN
brj-24822	210	9	dataset	dataset	NOUN
brj-24822	210	10	yielded	yield	VERB
brj-24822	210	11	high	high	ADJ
brj-24822	210	12	r²	r²	NOUN
brj-24822	210	13	values	value	NOUN
brj-24822	210	14	of	of	ADP
brj-24822	210	15	0.9373	0.9373	NUM
brj-24822	210	16	,	,	PUNCT
brj-24822	210	17	0.9226	0.9226	NUM
brj-24822	210	18	,	,	PUNCT
brj-24822	210	19	0.9250	0.9250	NUM
brj-24822	210	20	,	,	PUNCT
brj-24822	210	21	and	and	CCONJ
brj-24822	210	22	0.8260	0.8260	NUM
brj-24822	210	23	for	for	ADP
brj-24822	210	24	ann	ann	PROPN
brj-24822	210	25	,	,	PUNCT
brj-24822	210	26	rf	rf	NOUN
brj-24822	210	27	,	,	PUNCT
brj-24822	210	28	svr	svr	NOUN
brj-24822	210	29	,	,	PUNCT
brj-24822	210	30	and	and	CCONJ
brj-24822	210	31	xgb	xgb	NUM
brj-24822	210	32	models	model	NOUN
brj-24822	210	33	,	,	PUNCT
brj-24822	210	34	respectively	respectively	ADV
brj-24822	210	35	.	.	PUNCT
brj-24822	211	1	correspondingly	correspondingly	ADV
brj-24822	211	2	,	,	PUNCT
brj-24822	211	3	low	low	ADJ
brj-24822	211	4	mse	mse	NOUN
brj-24822	211	5	values	value	NOUN
brj-24822	211	6	of	of	ADP
brj-24822	211	7	4.4100	4.4100	NUM
brj-24822	211	8	,	,	PUNCT
brj-24822	211	9	5.4486	5.4486	NUM
brj-24822	211	10	,	,	PUNCT
brj-24822	211	11	5.2497	5.2497	NUM
brj-24822	211	12	,	,	PUNCT
brj-24822	211	13	and	and	CCONJ
brj-24822	211	14	12.2497	12.2497	NUM
brj-24822	211	15	were	be	AUX
brj-24822	211	16	obtained	obtain	VERB
brj-24822	211	17	for	for	ADP
brj-24822	211	18	ann	ann	PROPN
brj-24822	211	19	,	,	PUNCT
brj-24822	211	20	rf	rf	NOUN
brj-24822	211	21	,	,	PUNCT
brj-24822	211	22	svr	svr	NOUN
brj-24822	211	23	,	,	PUNCT
brj-24822	211	24	and	and	CCONJ
brj-24822	211	25	xgb	xgb	NUM
brj-24822	211	26	models	model	NOUN
brj-24822	211	27	,	,	PUNCT
brj-24822	211	28	respectively	respectively	ADV
brj-24822	211	29	.	.	PUNCT
brj-24822	212	1	on	on	ADP
brj-24822	212	2	the	the	DET
brj-24822	212	3	testing	testing	NOUN
brj-24822	212	4	dataset	dataset	NOUN
brj-24822	212	5	,	,	PUNCT
brj-24822	212	6	the	the	DET
brj-24822	212	7	ann	ann	PROPN
brj-24822	212	8	model	model	NOUN
brj-24822	212	9	exhibited	exhibit	VERB
brj-24822	212	10	the	the	DET
brj-24822	212	11	highest	high	ADJ
brj-24822	212	12	r²	r²	NOUN
brj-24822	212	13	value	value	NOUN
brj-24822	212	14	(	(	PUNCT
brj-24822	212	15	0.9805	0.9805	NUM
brj-24822	212	16	)	)	PUNCT
brj-24822	212	17	and	and	CCONJ
brj-24822	212	18	the	the	DET
brj-24822	212	19	lowest	low	ADJ
brj-24822	212	20	mse	mse	NOUN
brj-24822	212	21	(	(	PUNCT
brj-24822	212	22	2.4258	2.4258	NUM
brj-24822	212	23	)	)	PUNCT
brj-24822	212	24	,	,	PUNCT
brj-24822	212	25	followed	follow	VERB
brj-24822	212	26	by	by	ADP
brj-24822	212	27	svr	svr	PROPN
brj-24822	212	28	(	(	PUNCT
brj-24822	212	29	r²	r²	VERB
brj-24822	212	30	=	=	SYM
brj-24822	212	31	0.9463	0.9463	NUM
brj-24822	212	32	,	,	PUNCT
brj-24822	212	33	mse	mse	NOUN
brj-24822	212	34	=	=	SYM
brj-24822	212	35	3.1451	3.1451	NUM
brj-24822	212	36	)	)	PUNCT
brj-24822	212	37	,	,	PUNCT
brj-24822	212	38	rf	rf	PRON
brj-24822	212	39	(	(	PUNCT
brj-24822	212	40	r²	r²	NOUN
brj-24822	212	41	=	=	SYM
brj-24822	212	42	0.9208	0.9208	NUM
brj-24822	212	43	,	,	PUNCT
brj-24822	212	44	mse	mse	NOUN
brj-24822	212	45	=	=	SYM
brj-24822	212	46	8.4556	8.4556	NUM
brj-24822	212	47	)	)	PUNCT
brj-24822	212	48	,	,	PUNCT
brj-24822	212	49	and	and	CCONJ
brj-24822	212	50	xgb	xgb	NOUN
brj-24822	212	51	(	(	PUNCT
brj-24822	212	52	r²	r²	VERB
brj-24822	212	53	=	=	SYM
brj-24822	212	54	0.8674	0.8674	NUM
brj-24822	212	55	,	,	PUNCT
brj-24822	212	56	mse	mse	NOUN
brj-24822	212	57	=	=	SYM
brj-24822	212	58	14.1451	14.1451	NUM
brj-24822	212	59	)	)	PUNCT
brj-24822	212	60	.	.	PUNCT
brj-24822	213	1	table	table	NOUN
brj-24822	213	2	3	3	NUM
brj-24822	213	3	.	.	PUNCT
brj-24822	214	1	performance	performance	NOUN
brj-24822	214	2	of	of	ADP
brj-24822	214	3	different	different	ADJ
brj-24822	214	4	modeling	modeling	NOUN
brj-24822	214	5	methods	method	NOUN
brj-24822	214	6	for	for	ADP
brj-24822	214	7	prediction	prediction	NOUN
brj-24822	214	8	of	of	ADP
brj-24822	214	9	enzyme	enzyme	NOUN
brj-24822	214	10	hydrolysis	hydrolysis	NOUN
brj-24822	214	11	rate	rate	NOUN
brj-24822	214	12	modeling	modeling	NOUN
brj-24822	214	13	approaches	approach	NOUN
brj-24822	214	14	and	and	CCONJ
brj-24822	214	15	statistical	statistical	ADJ
brj-24822	214	16	parameters	parameter	NOUN
brj-24822	214	17	enzyme	enzyme	VERB
brj-24822	214	18	hydrolysis	hydrolysis	NOUN
brj-24822	214	19	rate	rate	NOUN
brj-24822	214	20	train	train	NOUN
brj-24822	214	21	r2	r2	PROPN
brj-24822	214	22	train	train	PROPN
brj-24822	214	23	mse	mse	PROPN
brj-24822	214	24	test	test	NOUN
brj-24822	214	25	r2	r2	PROPN
brj-24822	214	26	test	test	PROPN
brj-24822	214	27	mse	mse	PROPN
brj-24822	214	28	ann	ann	PROPN
brj-24822	214	29	0.9373	0.9373	NUM
brj-24822	214	30	4.4100	4.4100	NUM
brj-24822	215	1	0.9805	0.9805	NUM
brj-24822	215	2	2.4258	2.4258	NUM
brj-24822	215	3	rf	rf	NUM
brj-24822	215	4	0.9226	0.9226	NUM
brj-24822	215	5	5.4486	5.4486	NUM
brj-24822	215	6	0.9208	0.9208	NUM
brj-24822	215	7	8.4556	8.4556	NUM
brj-24822	215	8	svr	svr	NOUN
brj-24822	215	9	0.9250	0.9250	NUM
brj-24822	215	10	5.2497	5.2497	NUM
brj-24822	215	11	0.9463	0.9463	NUM
brj-24822	215	12	3.1451	3.1451	NUM
brj-24822	215	13	xgb	xgb	NOUN
brj-24822	215	14	0.8260	0.8260	NUM
brj-24822	215	15	12.2497	12.2497	NUM
brj-24822	215	16	0.8674	0.8674	NUM
brj-24822	215	17	14.1451	14.1451	NUM
brj-24822	215	18	among	among	ADP
brj-24822	215	19	the	the	DET
brj-24822	215	20	evaluated	evaluate	VERB
brj-24822	215	21	models	model	NOUN
brj-24822	215	22	,	,	PUNCT
brj-24822	215	23	ann	ann	PROPN
brj-24822	215	24	,	,	PUNCT
brj-24822	215	25	rf	rf	NOUN
brj-24822	215	26	,	,	PUNCT
brj-24822	215	27	and	and	CCONJ
brj-24822	215	28	svr	svr	AUX
brj-24822	215	29	exhibited	exhibit	VERB
brj-24822	215	30	excellent	excellent	ADJ
brj-24822	215	31	predictive	predictive	ADJ
brj-24822	215	32	performance	performance	NOUN
brj-24822	215	33	,	,	PUNCT
brj-24822	215	34	with	with	ADP
brj-24822	215	35	ann	ann	PROPN
brj-24822	215	36	clearly	clearly	ADV
brj-24822	215	37	demonstrating	demonstrate	VERB
brj-24822	215	38	superior	superior	ADJ
brj-24822	215	39	accuracy	accuracy	NOUN
brj-24822	215	40	in	in	ADP
brj-24822	215	41	predicting	predict	VERB
brj-24822	215	42	the	the	DET
brj-24822	215	43	enzymatic	enzymatic	ADJ
brj-24822	215	44	hydrolysis	hydrolysis	NOUN
brj-24822	215	45	rate	rate	NOUN
brj-24822	215	46	.	.	PUNCT
brj-24822	216	1	the	the	DET
brj-24822	216	2	lower	low	ADJ
brj-24822	216	3	mse	mse	NOUN
brj-24822	216	4	values	value	NOUN
brj-24822	216	5	for	for	ADP
brj-24822	216	6	the	the	DET
brj-24822	216	7	ann	ann	PROPN
brj-24822	216	8	model	model	NOUN
brj-24822	216	9	,	,	PUNCT
brj-24822	216	10	especially	especially	ADV
brj-24822	216	11	on	on	ADP
brj-24822	216	12	external	external	ADJ
brj-24822	216	13	validation	validation	NOUN
brj-24822	216	14	samples	sample	NOUN
brj-24822	216	15	,	,	PUNCT
brj-24822	216	16	confirmed	confirm	VERB
brj-24822	216	17	its	its	PRON
brj-24822	216	18	robustness	robustness	NOUN
brj-24822	216	19	and	and	CCONJ
brj-24822	216	20	strong	strong	ADJ
brj-24822	216	21	predictive	predictive	ADJ
brj-24822	216	22	capacity	capacity	NOUN
brj-24822	216	23	.	.	PUNCT
brj-24822	217	1	these	these	DET
brj-24822	217	2	results	result	VERB
brj-24822	217	3	validate	validate	VERB
brj-24822	217	4	that	that	SCONJ
brj-24822	217	5	the	the	DET
brj-24822	217	6	enzymatic	enzymatic	ADJ
brj-24822	217	7	hydrolysis	hydrolysis	NOUN
brj-24822	217	8	rate	rate	NOUN
brj-24822	217	9	of	of	ADP
brj-24822	217	10	pine	pine	ADJ
brj-24822	217	11	biomass	biomass	NOUN
brj-24822	217	12	can	can	AUX
brj-24822	217	13	be	be	AUX
brj-24822	217	14	reliably	reliably	ADV
brj-24822	217	15	and	and	CCONJ
brj-24822	217	16	accurately	accurately	ADV
brj-24822	217	17	estimated	estimate	VERB
brj-24822	217	18	using	use	VERB
brj-24822	217	19	ann	ann	PROPN
brj-24822	217	20	modeling	modeling	NOUN
brj-24822	217	21	based	base	VERB
brj-24822	217	22	on	on	ADP
brj-24822	217	23	the	the	DET
brj-24822	217	24	selected	select	VERB
brj-24822	217	25	process	process	NOUN
brj-24822	217	26	variables	variable	NOUN
brj-24822	217	27	.	.	PUNCT
brj-24822	218	1	the	the	DET
brj-24822	218	2	coefficient	coefficient	NOUN
brj-24822	218	3	of	of	ADP
brj-24822	218	4	determination	determination	NOUN
brj-24822	218	5	(	(	PUNCT
brj-24822	218	6	r²	r²	NOUN
brj-24822	218	7	)	)	PUNCT
brj-24822	218	8	measures	measure	NOUN
brj-24822	218	9	the	the	DET
brj-24822	218	10	accuracy	accuracy	NOUN
brj-24822	218	11	of	of	ADP
brj-24822	218	12	predictions	prediction	NOUN
brj-24822	218	13	relative	relative	ADJ
brj-24822	218	14	to	to	ADP
brj-24822	218	15	observed	observed	ADJ
brj-24822	218	16	target	target	NOUN
brj-24822	218	17	values	value	NOUN
brj-24822	218	18	and	and	CCONJ
brj-24822	218	19	is	be	AUX
brj-24822	218	20	frequently	frequently	ADV
brj-24822	218	21	utilized	utilize	VERB
brj-24822	218	22	to	to	PART
brj-24822	218	23	assess	assess	VERB
brj-24822	218	24	model	model	NOUN
brj-24822	218	25	performance	performance	NOUN
brj-24822	218	26	.	.	PUNCT
brj-24822	219	1	figure	figure	NOUN
brj-24822	219	2	8	8	NUM
brj-24822	219	3	compares	compare	VERB
brj-24822	219	4	the	the	DET
brj-24822	219	5	r²	r²	ADJ
brj-24822	219	6	values	value	NOUN
brj-24822	219	7	obtained	obtain	VERB
brj-24822	219	8	from	from	ADP
brj-24822	219	9	each	each	DET
brj-24822	219	10	model	model	NOUN
brj-24822	219	11	.	.	PUNCT
brj-24822	220	1	all	all	DET
brj-24822	220	2	models	model	NOUN
brj-24822	220	3	demonstrated	demonstrate	VERB
brj-24822	220	4	strong	strong	ADJ
brj-24822	220	5	predictive	predictive	ADJ
brj-24822	220	6	performance	performance	NOUN
brj-24822	220	7	,	,	PUNCT
brj-24822	220	8	yielding	yield	VERB
brj-24822	220	9	r²	r²	NOUN
brj-24822	220	10	values	value	NOUN
brj-24822	220	11	above	above	ADP
brj-24822	220	12	0.93	0.93	NUM
brj-24822	220	13	for	for	ADP
brj-24822	220	14	both	both	DET
brj-24822	220	15	training	training	NOUN
brj-24822	220	16	and	and	CCONJ
brj-24822	220	17	testing	testing	NOUN
brj-24822	220	18	datasets	dataset	NOUN
brj-24822	220	19	.	.	PUNCT
brj-24822	221	1	notably	notably	ADV
brj-24822	221	2	,	,	PUNCT
brj-24822	221	3	the	the	DET
brj-24822	221	4	ann	ann	PROPN
brj-24822	221	5	model	model	NOUN
brj-24822	221	6	exhibited	exhibit	VERB
brj-24822	221	7	superior	superior	ADJ
brj-24822	221	8	predictive	predictive	ADJ
brj-24822	221	9	capability	capability	NOUN
brj-24822	221	10	for	for	ADP
brj-24822	221	11	estimating	estimate	VERB
brj-24822	221	12	enzymatic	enzymatic	ADJ
brj-24822	221	13	hydrolysis	hydrolysis	NOUN
brj-24822	221	14	rates	rate	NOUN
brj-24822	221	15	compared	compare	VERB
brj-24822	221	16	to	to	ADP
brj-24822	221	17	the	the	DET
brj-24822	221	18	rf	rf	NOUN
brj-24822	221	19	,	,	PUNCT
brj-24822	221	20	svr	svr	PROPN
brj-24822	221	21	,	,	PUNCT
brj-24822	221	22	and	and	CCONJ
brj-24822	221	23	xgb	xgb	NUM
brj-24822	221	24	models	model	NOUN
brj-24822	221	25	,	,	PUNCT
brj-24822	221	26	achieving	achieve	VERB
brj-24822	221	27	the	the	DET
brj-24822	221	28	highest	high	ADJ
brj-24822	221	29	r²	r²	NOUN
brj-24822	221	30	value	value	NOUN
brj-24822	221	31	of	of	ADP
brj-24822	221	32	0.97	0.97	NUM
brj-24822	221	33	on	on	ADP
brj-24822	221	34	the	the	DET
brj-24822	221	35	test	test	NOUN
brj-24822	221	36	dataset	dataset	NOUN
brj-24822	221	37	.	.	PUNCT
brj-24822	222	1	these	these	DET
brj-24822	222	2	findings	finding	NOUN
brj-24822	222	3	align	align	VERB
brj-24822	222	4	with	with	ADP
brj-24822	222	5	previous	previous	ADJ
brj-24822	222	6	studies	study	NOUN
brj-24822	222	7	that	that	PRON
brj-24822	222	8	have	have	AUX
brj-24822	222	9	highlighted	highlight	VERB
brj-24822	222	10	the	the	DET
brj-24822	222	11	strong	strong	ADJ
brj-24822	222	12	predictive	predictive	ADJ
brj-24822	222	13	capacity	capacity	NOUN
brj-24822	222	14	of	of	ADP
brj-24822	222	15	ann	ann	PROPN
brj-24822	222	16	models	model	NOUN
brj-24822	222	17	in	in	ADP
brj-24822	222	18	biomass	biomass	NOUN
brj-24822	222	19	conversion	conversion	NOUN
brj-24822	222	20	processes	process	NOUN
brj-24822	222	21	(	(	PUNCT
brj-24822	222	22	persson	persson	NOUN
brj-24822	222	23	et	et	PROPN
brj-24822	222	24	al	al	PROPN
brj-24822	222	25	.	.	PROPN
brj-24822	222	26	2002	2002	NUM
brj-24822	222	27	;	;	PUNCT
brj-24822	222	28	vibha	vibha	NOUN
brj-24822	222	29	et	et	PROPN
brj-24822	222	30	al	al	PROPN
brj-24822	222	31	.	.	PROPN
brj-24822	222	32	2024	2024	NUM
brj-24822	222	33	;	;	PUNCT
brj-24822	222	34	jayakumar	jayakumar	PROPN
brj-24822	222	35	et	et	PROPN
brj-24822	222	36	al	al	PROPN
brj-24822	222	37	.	.	PROPN
brj-24822	222	38	2025	2025	NUM
brj-24822	222	39	)	)	PUNCT
brj-24822	222	40	.	.	PUNCT
brj-24822	223	1	vinitha	vinitha	PROPN
brj-24822	223	2	et	et	PROPN
brj-24822	223	3	al	al	PROPN
brj-24822	223	4	.	.	PROPN
brj-24822	224	1	(	(	PUNCT
brj-24822	224	2	2023	2023	NUM
brj-24822	224	3	)	)	PUNCT
brj-24822	224	4	applied	apply	VERB
brj-24822	224	5	a	a	DET
brj-24822	224	6	machine	machine	NOUN
brj-24822	224	7	learning	learn	VERB
brj-24822	224	8	approach	approach	NOUN
brj-24822	224	9	using	use	VERB
brj-24822	224	10	decision	decision	NOUN
brj-24822	224	11	tree	tree	NOUN
brj-24822	224	12	algorithms	algorithm	NOUN
brj-24822	224	13	to	to	PART
brj-24822	224	14	optimize	optimize	VERB
brj-24822	224	15	the	the	DET
brj-24822	224	16	enzymatic	enzymatic	ADJ
brj-24822	224	17	hydrolysis	hydrolysis	NOUN
brj-24822	224	18	of	of	ADP
brj-24822	224	19	biomass	biomass	NOUN
brj-24822	224	20	.	.	PUNCT
brj-24822	225	1	their	their	PRON
brj-24822	225	2	study	study	NOUN
brj-24822	225	3	employed	employ	VERB
brj-24822	225	4	process	process	NOUN
brj-24822	225	5	variables	variable	NOUN
brj-24822	225	6	as	as	ADP
brj-24822	225	7	training	training	NOUN
brj-24822	225	8	data	datum	NOUN
brj-24822	225	9	and	and	CCONJ
brj-24822	225	10	reported	report	VERB
brj-24822	225	11	a	a	DET
brj-24822	225	12	high	high	ADJ
brj-24822	225	13	coefficient	coefficient	NOUN
brj-24822	225	14	of	of	ADP
brj-24822	225	15	determination	determination	NOUN
brj-24822	225	16	(	(	PUNCT
brj-24822	225	17	r²	r²	NOUN
brj-24822	225	18	=	=	SYM
brj-24822	225	19	0.9762	0.9762	NUM
brj-24822	225	20	)	)	PUNCT
brj-24822	225	21	,	,	PUNCT
brj-24822	225	22	indicating	indicate	VERB
brj-24822	225	23	strong	strong	ADJ
brj-24822	225	24	predictive	predictive	ADJ
brj-24822	225	25	performance	performance	NOUN
brj-24822	225	26	.	.	PUNCT
brj-24822	226	1	similarly	similarly	ADV
brj-24822	226	2	,	,	PUNCT
brj-24822	226	3	khangwal	khangwal	VERB
brj-24822	226	4	et	et	PROPN
brj-24822	226	5	al	al	PROPN
brj-24822	226	6	.	.	PROPN
brj-24822	227	1	(	(	PUNCT
brj-24822	227	2	2021	2021	NUM
brj-24822	227	3	)	)	PUNCT
brj-24822	227	4	introduced	introduce	VERB
brj-24822	227	5	a	a	DET
brj-24822	227	6	multilayer	multilayer	ADJ
brj-24822	227	7	feed	feed	NOUN
brj-24822	227	8	-	-	PUNCT
brj-24822	227	9	forward	forward	ADV
brj-24822	227	10	artificial	artificial	ADJ
brj-24822	227	11	neural	neural	ADJ
brj-24822	227	12	network	network	NOUN
brj-24822	227	13	model	model	NOUN
brj-24822	227	14	to	to	PART
brj-24822	227	15	predict	predict	VERB
brj-24822	227	16	sugar	sugar	NOUN
brj-24822	227	17	production	production	NOUN
brj-24822	227	18	from	from	ADP
brj-24822	227	19	hemicellulose	hemicellulose	NOUN
brj-24822	227	20	extracted	extract	VERB
brj-24822	227	21	from	from	ADP
brj-24822	227	22	corn	corn	NOUN
brj-24822	227	23	cobs	cob	NOUN
brj-24822	227	24	.	.	PUNCT
brj-24822	228	1	using	use	VERB
brj-24822	228	2	process	process	NOUN
brj-24822	228	3	variables	variable	NOUN
brj-24822	228	4	as	as	ADP
brj-24822	228	5	model	model	NOUN
brj-24822	228	6	inputs	input	NOUN
brj-24822	228	7	,	,	PUNCT
brj-24822	228	8	they	they	PRON
brj-24822	228	9	achieved	achieve	VERB
brj-24822	228	10	an	an	DET
brj-24822	228	11	r²	r²	NOUN
brj-24822	228	12	of	of	ADP
brj-24822	228	13	0.9651	0.9651	NUM
brj-24822	228	14	,	,	PUNCT
brj-24822	228	15	which	which	PRON
brj-24822	228	16	is	be	AUX
brj-24822	228	17	comparable	comparable	ADJ
brj-24822	228	18	to	to	ADP
brj-24822	228	19	the	the	DET
brj-24822	228	20	performance	performance	NOUN
brj-24822	228	21	of	of	ADP
brj-24822	228	22	our	our	PRON
brj-24822	228	23	ann	ann	PROPN
brj-24822	228	24	model	model	NOUN
brj-24822	228	25	.	.	PUNCT
brj-24822	229	1	de	de	PROPN
brj-24822	229	2	farias	farias	PROPN
brj-24822	229	3	silva	silva	PROPN
brj-24822	229	4	et	et	PROPN
brj-24822	229	5	al	al	PROPN
brj-24822	229	6	.	.	PROPN
brj-24822	230	1	(	(	PUNCT
brj-24822	230	2	2022	2022	NUM
brj-24822	230	3	)	)	PUNCT
brj-24822	230	4	investigated	investigate	VERB
brj-24822	230	5	the	the	DET
brj-24822	230	6	use	use	NOUN
brj-24822	230	7	of	of	ADP
brj-24822	230	8	both	both	CCONJ
brj-24822	230	9	artificial	artificial	ADJ
brj-24822	230	10	neural	neural	ADJ
brj-24822	230	11	networks	network	NOUN
brj-24822	230	12	and	and	CCONJ
brj-24822	230	13	support	support	VERB
brj-24822	230	14	vector	vector	NOUN
brj-24822	230	15	machines	machine	NOUN
brj-24822	230	16	to	to	PART
brj-24822	230	17	predict	predict	VERB
brj-24822	230	18	fermentation	fermentation	NOUN
brj-24822	230	19	yield	yield	NOUN
brj-24822	230	20	from	from	ADP
brj-24822	230	21	sargassum	sargassum	PROPN
brj-24822	230	22	macroalgae	macroalgae	PROPN
brj-24822	230	23	.	.	PUNCT
brj-24822	231	1	their	their	PRON
brj-24822	231	2	results	result	NOUN
brj-24822	231	3	showed	show	VERB
brj-24822	231	4	that	that	SCONJ
brj-24822	231	5	the	the	DET
brj-24822	231	6	ann	ann	PROPN
brj-24822	231	7	model	model	NOUN
brj-24822	231	8	with	with	ADP
brj-24822	231	9	15	15	NUM
brj-24822	231	10	neurons	neuron	NOUN
brj-24822	231	11	achieved	achieve	VERB
brj-24822	231	12	an	an	DET
brj-24822	231	13	r²	r²	NOUN
brj-24822	231	14	of	of	ADP
brj-24822	231	15	0.877	0.877	NUM
brj-24822	231	16	,	,	PUNCT
brj-24822	231	17	while	while	SCONJ
brj-24822	231	18	the	the	DET
brj-24822	231	19	svm	svm	ADJ
brj-24822	231	20	model	model	NOUN
brj-24822	231	21	using	use	VERB
brj-24822	231	22	a	a	DET
brj-24822	231	23	polynomial	polynomial	ADJ
brj-24822	231	24	kernel	kernel	NOUN
brj-24822	231	25	function	function	NOUN
brj-24822	231	26	reached	reach	VERB
brj-24822	231	27	an	an	DET
brj-24822	231	28	r²	r²	NOUN
brj-24822	231	29	of	of	ADP
brj-24822	231	30	0.821	0.821	NUM
brj-24822	231	31	.	.	PUNCT
brj-24822	232	1	these	these	DET
brj-24822	232	2	findings	finding	NOUN
brj-24822	232	3	suggest	suggest	VERB
brj-24822	232	4	that	that	SCONJ
brj-24822	232	5	ann	ann	PROPN
brj-24822	232	6	models	model	NOUN
brj-24822	232	7	offer	offer	VERB
brj-24822	232	8	superior	superior	ADJ
brj-24822	232	9	performance	performance	NOUN
brj-24822	232	10	over	over	ADP
brj-24822	232	11	svm	svm	PROPN
brj-24822	232	12	in	in	ADP
brj-24822	232	13	yield	yield	NOUN
brj-24822	232	14	prediction	prediction	NOUN
brj-24822	232	15	tasks	task	NOUN
brj-24822	232	16	,	,	PUNCT
brj-24822	232	17	which	which	PRON
brj-24822	232	18	is	be	AUX
brj-24822	232	19	consistent	consistent	ADJ
brj-24822	232	20	with	with	ADP
brj-24822	232	21	our	our	PRON
brj-24822	232	22	study	study	NOUN
brj-24822	232	23	.	.	PUNCT
brj-24822	233	1	to	to	ADP
brj-24822	233	2	the	the	DET
brj-24822	233	3	best	good	ADJ
brj-24822	233	4	of	of	ADP
brj-24822	233	5	our	our	PRON
brj-24822	233	6	knowledge	knowledge	NOUN
brj-24822	233	7	,	,	PUNCT
brj-24822	233	8	there	there	PRON
brj-24822	233	9	has	have	AUX
brj-24822	233	10	been	be	AUX
brj-24822	233	11	no	no	DET
brj-24822	233	12	prior	prior	ADJ
brj-24822	233	13	research	research	NOUN
brj-24822	233	14	applying	apply	VERB
brj-24822	233	15	machine	machine	NOUN
brj-24822	233	16	learning	learn	VERB
brj-24822	233	17	algorithms	algorithm	NOUN
brj-24822	233	18	to	to	PART
brj-24822	233	19	predict	predict	VERB
brj-24822	233	20	the	the	DET
brj-24822	233	21	enzymatic	enzymatic	ADJ
brj-24822	233	22	hydrolysis	hydrolysis	NOUN
brj-24822	233	23	yield	yield	NOUN
brj-24822	233	24	of	of	ADP
brj-24822	233	25	steam	steam	NOUN
brj-24822	233	26	peer	peer	NOUN
brj-24822	233	27	-	-	PUNCT
brj-24822	233	28	reviewed	review	VERB
brj-24822	233	29	article	article	NOUN
brj-24822	233	30	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	233	31	kim	kim	PROPN
brj-24822	233	32	et	et	PROPN
brj-24822	233	33	al	al	PROPN
brj-24822	233	34	.	.	PROPN
brj-24822	234	1	(	(	PUNCT
brj-24822	234	2	2025	2025	NUM
brj-24822	234	3	)	)	PUNCT
brj-24822	234	4	.	.	PUNCT
brj-24822	235	1	“	"	PUNCT
brj-24822	235	2	steam	steam	NOUN
brj-24822	235	3	&	&	CCONJ
brj-24822	235	4	naoh	naoh	PROPN
brj-24822	235	5	pretreatments	pretreatment	NOUN
brj-24822	235	6	,	,	PUNCT
brj-24822	235	7	”	"	PUNCT
brj-24822	235	8	bioresources	bioresource	VERB
brj-24822	235	9	20(4	20(4	NOUN
brj-24822	235	10	)	)	PUNCT
brj-24822	235	11	,	,	PUNCT
brj-24822	235	12	8400	8400	NUM
brj-24822	235	13	-	-	SYM
brj-24822	235	14	8419	8419	NUM
brj-24822	235	15	.	.	PUNCT
brj-24822	236	1	8413	8413	NUM
brj-24822	236	2	exploded	explode	VERB
brj-24822	236	3	pine	pine	NOUN
brj-24822	236	4	pretreated	pretreate	VERB
brj-24822	236	5	under	under	ADP
brj-24822	236	6	mild	mild	ADJ
brj-24822	236	7	naoh	naoh	NOUN
brj-24822	236	8	conditions	condition	NOUN
brj-24822	236	9	.	.	PUNCT
brj-24822	237	1	this	this	DET
brj-24822	237	2	highlights	highlight	VERB
brj-24822	237	3	the	the	DET
brj-24822	237	4	novelty	novelty	NOUN
brj-24822	237	5	and	and	CCONJ
brj-24822	237	6	contribution	contribution	NOUN
brj-24822	237	7	of	of	ADP
brj-24822	237	8	our	our	PRON
brj-24822	237	9	work	work	NOUN
brj-24822	237	10	to	to	ADP
brj-24822	237	11	the	the	DET
brj-24822	237	12	field	field	NOUN
brj-24822	237	13	of	of	ADP
brj-24822	237	14	lignocellulosic	lignocellulosic	ADJ
brj-24822	237	15	biomass	biomass	NOUN
brj-24822	237	16	valorization	valorization	NOUN
brj-24822	237	17	.	.	PUNCT
brj-24822	238	1	fig	fig	NOUN
brj-24822	238	2	.	.	PUNCT
brj-24822	239	1	8	8	NUM
brj-24822	239	2	.	.	X
brj-24822	239	3	comparison	comparison	NOUN
brj-24822	239	4	between	between	ADP
brj-24822	239	5	the	the	DET
brj-24822	239	6	actual	actual	ADJ
brj-24822	239	7	and	and	CCONJ
brj-24822	239	8	predicted	predict	VERB
brj-24822	239	9	enzymatic	enzymatic	ADJ
brj-24822	239	10	hydrolysis	hydrolysis	NOUN
brj-24822	239	11	rates	rate	NOUN
brj-24822	239	12	for	for	ADP
brj-24822	239	13	artificial	artificial	ADJ
brj-24822	239	14	neural	neural	ADJ
brj-24822	239	15	networks	network	NOUN
brj-24822	239	16	(	(	PUNCT
brj-24822	239	17	ann	ann	PROPN
brj-24822	239	18	)	)	PUNCT
brj-24822	239	19	,	,	PUNCT
brj-24822	239	20	random	random	ADJ
brj-24822	239	21	forests	forest	NOUN
brj-24822	239	22	(	(	PUNCT
brj-24822	239	23	rf	rf	NOUN
brj-24822	239	24	)	)	PUNCT
brj-24822	239	25	,	,	PUNCT
brj-24822	239	26	support	support	VERB
brj-24822	239	27	vector	vector	NOUN
brj-24822	239	28	regression	regression	NOUN
brj-24822	239	29	(	(	PUNCT
brj-24822	239	30	svr	svr	PROPN
brj-24822	239	31	)	)	PUNCT
brj-24822	239	32	,	,	PUNCT
brj-24822	239	33	and	and	CCONJ
brj-24822	239	34	xgb	xgb	NOUN
brj-24822	239	35	models	model	NOUN
brj-24822	239	36	(	(	PUNCT
brj-24822	239	37	d	d	X
brj-24822	239	38	)	)	PUNCT
brj-24822	239	39	conclusions	conclusion	NOUN
brj-24822	239	40	1	1	NUM
brj-24822	239	41	.	.	PUNCT
brj-24822	240	1	this	this	DET
brj-24822	240	2	study	study	NOUN
brj-24822	240	3	demonstrated	demonstrate	VERB
brj-24822	240	4	that	that	SCONJ
brj-24822	240	5	an	an	DET
brj-24822	240	6	artificial	artificial	ADJ
brj-24822	240	7	neural	neural	ADJ
brj-24822	240	8	network	network	NOUN
brj-24822	240	9	(	(	PUNCT
brj-24822	240	10	ann	ann	PROPN
brj-24822	240	11	)	)	PUNCT
brj-24822	240	12	model	model	NOUN
brj-24822	240	13	can	can	AUX
brj-24822	240	14	successfully	successfully	ADV
brj-24822	240	15	predict	predict	VERB
brj-24822	240	16	the	the	DET
brj-24822	240	17	enzymatic	enzymatic	ADJ
brj-24822	240	18	hydrolysis	hydrolysis	NOUN
brj-24822	240	19	rate	rate	NOUN
brj-24822	240	20	of	of	ADP
brj-24822	240	21	steam	steam	NOUN
brj-24822	240	22	-	-	PUNCT
brj-24822	240	23	exploded	explode	VERB
brj-24822	240	24	pine	pine	NOUN
brj-24822	240	25	wood	wood	NOUN
brj-24822	240	26	chips	chip	NOUN
brj-24822	240	27	subjected	subject	VERB
brj-24822	240	28	to	to	ADP
brj-24822	240	29	mild	mild	ADJ
brj-24822	240	30	alkaline	alkaline	NOUN
brj-24822	240	31	pretreatment	pretreatment	NOUN
brj-24822	240	32	.	.	PUNCT
brj-24822	241	1	the	the	DET
brj-24822	241	2	ann	ann	PROPN
brj-24822	241	3	model	model	NOUN
brj-24822	241	4	outperformed	outperform	VERB
brj-24822	241	5	conventional	conventional	ADJ
brj-24822	241	6	models	model	NOUN
brj-24822	241	7	such	such	ADJ
brj-24822	241	8	as	as	ADP
brj-24822	241	9	random	random	ADJ
brj-24822	241	10	forest	forest	NOUN
brj-24822	241	11	(	(	PUNCT
brj-24822	241	12	rf	rf	NOUN
brj-24822	241	13	)	)	PUNCT
brj-24822	241	14	,	,	PUNCT
brj-24822	241	15	support	support	VERB
brj-24822	241	16	vector	vector	NOUN
brj-24822	241	17	regression	regression	NOUN
brj-24822	241	18	(	(	PUNCT
brj-24822	241	19	svr	svr	PROPN
brj-24822	241	20	)	)	PUNCT
brj-24822	241	21	,	,	PUNCT
brj-24822	241	22	and	and	CCONJ
brj-24822	241	23	xgb	xgb	NUM
brj-24822	241	24	,	,	PUNCT
brj-24822	241	25	achieving	achieve	VERB
brj-24822	241	26	an	an	DET
brj-24822	241	27	r²	r²	NOUN
brj-24822	241	28	of	of	ADP
brj-24822	241	29	0.9805	0.9805	NUM
brj-24822	241	30	and	and	CCONJ
brj-24822	241	31	a	a	DET
brj-24822	241	32	mean	mean	NOUN
brj-24822	241	33	squared	square	VERB
brj-24822	241	34	error	error	NOUN
brj-24822	241	35	(	(	PUNCT
brj-24822	241	36	mse	mse	NOUN
brj-24822	241	37	)	)	PUNCT
brj-24822	241	38	of	of	ADP
brj-24822	241	39	2.43	2.43	NUM
brj-24822	241	40	on	on	ADP
brj-24822	241	41	the	the	DET
brj-24822	241	42	test	test	NOUN
brj-24822	241	43	dataset	dataset	NOUN
brj-24822	241	44	.	.	PUNCT
brj-24822	242	1	2	2	X
brj-24822	242	2	.	.	X
brj-24822	242	3	among	among	ADP
brj-24822	242	4	the	the	DET
brj-24822	242	5	evaluated	evaluated	ADJ
brj-24822	242	6	process	process	NOUN
brj-24822	242	7	parameters	parameter	NOUN
brj-24822	242	8	,	,	PUNCT
brj-24822	242	9	the	the	DET
brj-24822	242	10	chemical	chemical	NOUN
brj-24822	242	11	concentration	concentration	NOUN
brj-24822	242	12	,	,	PUNCT
brj-24822	242	13	particularly	particularly	ADV
brj-24822	242	14	at	at	ADP
brj-24822	242	15	1	1	NUM
brj-24822	242	16	%	%	NOUN
brj-24822	242	17	naoh	naoh	NOUN
brj-24822	242	18	,	,	PUNCT
brj-24822	242	19	exhibited	exhibit	VERB
brj-24822	242	20	the	the	DET
brj-24822	242	21	strongest	strong	ADJ
brj-24822	242	22	linear	linear	ADJ
brj-24822	242	23	correlation	correlation	NOUN
brj-24822	242	24	(	(	PUNCT
brj-24822	242	25	r	r	NOUN
brj-24822	242	26	=	=	NOUN
brj-24822	242	27	0.61	0.61	NUM
brj-24822	242	28	)	)	PUNCT
brj-24822	242	29	with	with	ADP
brj-24822	242	30	the	the	DET
brj-24822	242	31	enzymatic	enzymatic	ADJ
brj-24822	242	32	hydrolysis	hydrolysis	NOUN
brj-24822	242	33	rate	rate	NOUN
brj-24822	242	34	.	.	PUNCT
brj-24822	243	1	conversely	conversely	ADV
brj-24822	243	2	,	,	PUNCT
brj-24822	243	3	chemical	chemical	ADJ
brj-24822	243	4	pretreatment	pretreatment	NOUN
brj-24822	243	5	time	time	NOUN
brj-24822	243	6	and	and	CCONJ
brj-24822	243	7	steam	steam	NOUN
brj-24822	243	8	explosion	explosion	NOUN
brj-24822	243	9	duration	duration	NOUN
brj-24822	243	10	demonstrated	demonstrate	VERB
brj-24822	243	11	significant	significant	ADJ
brj-24822	243	12	yet	yet	CCONJ
brj-24822	243	13	nonlinear	nonlinear	ADJ
brj-24822	243	14	impacts	impact	NOUN
brj-24822	243	15	on	on	ADP
brj-24822	243	16	hydrolysis	hydrolysis	NOUN
brj-24822	243	17	performance	performance	NOUN
brj-24822	243	18	.	.	PUNCT
brj-24822	244	1	optimal	optimal	ADJ
brj-24822	244	2	enzymatic	enzymatic	ADJ
brj-24822	244	3	hydrolysis	hydrolysis	NOUN
brj-24822	244	4	conditions	condition	NOUN
brj-24822	244	5	were	be	AUX
brj-24822	244	6	determined	determine	VERB
brj-24822	244	7	to	to	PART
brj-24822	244	8	be	be	AUX
brj-24822	244	9	1	1	NUM
brj-24822	244	10	%	%	NOUN
brj-24822	244	11	naoh	naoh	NOUN
brj-24822	244	12	concentration	concentration	NOUN
brj-24822	244	13	,	,	PUNCT
brj-24822	244	14	a	a	DET
brj-24822	244	15	24	24	NUM
brj-24822	244	16	-	-	PUNCT
brj-24822	244	17	hour	hour	NOUN
brj-24822	244	18	pretreatment	pretreatment	NOUN
brj-24822	244	19	duration	duration	NOUN
brj-24822	244	20	,	,	PUNCT
brj-24822	244	21	5	5	NUM
brj-24822	244	22	minutes	minute	NOUN
brj-24822	244	23	of	of	ADP
brj-24822	244	24	steam	steam	NOUN
brj-24822	244	25	explosion	explosion	NOUN
brj-24822	244	26	treatment	treatment	NOUN
brj-24822	244	27	,	,	PUNCT
brj-24822	244	28	and	and	CCONJ
brj-24822	244	29	the	the	DET
brj-24822	244	30	absence	absence	NOUN
brj-24822	244	31	of	of	ADP
brj-24822	244	32	bark	bark	NOUN
brj-24822	244	33	,	,	PUNCT
brj-24822	244	34	achieving	achieve	VERB
brj-24822	244	35	a	a	DET
brj-24822	244	36	maximum	maximum	ADJ
brj-24822	244	37	enzymatic	enzymatic	ADJ
brj-24822	244	38	hydrolysis	hydrolysis	NOUN
brj-24822	244	39	rate	rate	NOUN
brj-24822	244	40	of	of	ADP
brj-24822	244	41	93.9	93.9	NUM
brj-24822	244	42	%	%	NOUN
brj-24822	244	43	.	.	PUNCT
brj-24822	245	1	peer	peer	NOUN
brj-24822	245	2	-	-	PUNCT
brj-24822	245	3	reviewed	review	VERB
brj-24822	245	4	article	article	NOUN
brj-24822	245	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	245	6	kim	kim	PROPN
brj-24822	245	7	et	et	PROPN
brj-24822	245	8	al	al	PROPN
brj-24822	245	9	.	.	PROPN
brj-24822	246	1	(	(	PUNCT
brj-24822	246	2	2025	2025	NUM
brj-24822	246	3	)	)	PUNCT
brj-24822	246	4	.	.	PUNCT
brj-24822	247	1	“	"	PUNCT
brj-24822	247	2	steam	steam	NOUN
brj-24822	247	3	&	&	CCONJ
brj-24822	247	4	naoh	naoh	PROPN
brj-24822	247	5	pretreatments	pretreatment	NOUN
brj-24822	247	6	,	,	PUNCT
brj-24822	247	7	”	"	PUNCT
brj-24822	247	8	bioresources	bioresource	VERB
brj-24822	247	9	20(4	20(4	NOUN
brj-24822	247	10	)	)	PUNCT
brj-24822	247	11	,	,	PUNCT
brj-24822	247	12	8400	8400	NUM
brj-24822	247	13	-	-	SYM
brj-24822	247	14	8419	8419	NUM
brj-24822	247	15	.	.	PUNCT
brj-24822	248	1	8414	8414	NUM
brj-24822	248	2	3	3	X
brj-24822	248	3	.	.	PUNCT
brj-24822	249	1	this	this	DET
brj-24822	249	2	study	study	NOUN
brj-24822	249	3	confirms	confirm	VERB
brj-24822	249	4	that	that	SCONJ
brj-24822	249	5	artificial	artificial	ADJ
brj-24822	249	6	neural	neural	ADJ
brj-24822	249	7	networks	network	NOUN
brj-24822	249	8	(	(	PUNCT
brj-24822	249	9	anns	anns	PROPN
brj-24822	249	10	)	)	PUNCT
brj-24822	249	11	effectively	effectively	ADV
brj-24822	249	12	model	model	VERB
brj-24822	249	13	the	the	DET
brj-24822	249	14	complex	complex	ADJ
brj-24822	249	15	nonlinear	nonlinear	ADJ
brj-24822	249	16	relationships	relationship	NOUN
brj-24822	249	17	inherent	inherent	ADJ
brj-24822	249	18	in	in	ADP
brj-24822	249	19	biomass	biomass	NOUN
brj-24822	249	20	hydrolysis	hydrolysis	NOUN
brj-24822	249	21	processes	process	NOUN
brj-24822	249	22	.	.	PUNCT
brj-24822	250	1	thus	thus	ADV
brj-24822	250	2	,	,	PUNCT
brj-24822	250	3	ann	ann	PROPN
brj-24822	250	4	provides	provide	VERB
brj-24822	250	5	a	a	DET
brj-24822	250	6	robust	robust	ADJ
brj-24822	250	7	,	,	PUNCT
brj-24822	250	8	rapid	rapid	ADJ
brj-24822	250	9	,	,	PUNCT
brj-24822	250	10	and	and	CCONJ
brj-24822	250	11	precise	precise	ADJ
brj-24822	250	12	predictive	predictive	ADJ
brj-24822	250	13	approach	approach	NOUN
brj-24822	250	14	,	,	PUNCT
brj-24822	250	15	facilitating	facilitate	VERB
brj-24822	250	16	the	the	DET
brj-24822	250	17	optimization	optimization	NOUN
brj-24822	250	18	of	of	ADP
brj-24822	250	19	biomass	biomass	NOUN
brj-24822	250	20	bioconversion	bioconversion	NOUN
brj-24822	250	21	conditions	condition	NOUN
brj-24822	250	22	.	.	PUNCT
brj-24822	251	1	acknowledgments	acknowledgment	NOUN
brj-24822	251	2	this	this	DET
brj-24822	251	3	study	study	NOUN
brj-24822	251	4	was	be	AUX
brj-24822	251	5	carried	carry	VERB
brj-24822	251	6	out	out	ADP
brj-24822	251	7	with	with	ADP
brj-24822	251	8	the	the	DET
brj-24822	251	9	support	support	NOUN
brj-24822	251	10	of	of	ADP
brj-24822	251	11	r&d	r&d	NOUN
brj-24822	251	12	program	program	NOUN
brj-24822	251	13	for	for	ADP
brj-24822	251	14	forest	forest	NOUN
brj-24822	251	15	science	science	NOUN
brj-24822	251	16	technology	technology	NOUN
brj-24822	251	17	(	(	PUNCT
brj-24822	251	18	project	project	NOUN
brj-24822	251	19	no	no	INTJ
brj-24822	251	20	.	.	PUNCT
brj-24822	252	1	"	"	PUNCT
brj-24822	252	2	rs-2023	rs-2023	PROPN
brj-24822	252	3	-	-	PUNCT
brj-24822	252	4	kf00245261382116530003	kf00245261382116530003	NOUN
brj-24822	252	5	"	"	PUNCT
brj-24822	252	6	)	)	PUNCT
brj-24822	252	7	provided	provide	VERB
brj-24822	252	8	by	by	ADP
brj-24822	252	9	korea	korea	PROPN
brj-24822	252	10	forest	forest	PROPN
brj-24822	252	11	service	service	PROPN
brj-24822	252	12	(	(	PUNCT
brj-24822	252	13	korea	korea	PROPN
brj-24822	252	14	forestry	forestry	PROPN
brj-24822	252	15	promotion	promotion	PROPN
brj-24822	252	16	institute	institute	PROPN
brj-24822	252	17	)	)	PUNCT
brj-24822	252	18	.	.	PUNCT
brj-24822	253	1	data	datum	NOUN
brj-24822	253	2	availability	availability	NOUN
brj-24822	253	3	all	all	DET
brj-24822	253	4	datasets	dataset	NOUN
brj-24822	253	5	used	use	VERB
brj-24822	253	6	and/or	and/or	CCONJ
brj-24822	253	7	analyzed	analyze	VERB
brj-24822	253	8	during	during	ADP
brj-24822	253	9	the	the	DET
brj-24822	253	10	current	current	ADJ
brj-24822	253	11	study	study	NOUN
brj-24822	253	12	are	be	AUX
brj-24822	253	13	available	available	ADJ
brj-24822	253	14	from	from	ADP
brj-24822	253	15	the	the	DET
brj-24822	253	16	corresponding	corresponding	ADJ
brj-24822	253	17	author	author	NOUN
brj-24822	253	18	on	on	ADP
brj-24822	253	19	reasonable	reasonable	ADJ
brj-24822	253	20	request	request	NOUN
brj-24822	253	21	.	.	PUNCT
brj-24822	254	1	conflicts	conflict	NOUN
brj-24822	254	2	of	of	ADP
brj-24822	254	3	interest	interest	NOUN
brj-24822	254	4	the	the	DET
brj-24822	254	5	authors	author	NOUN
brj-24822	254	6	declare	declare	VERB
brj-24822	254	7	that	that	SCONJ
brj-24822	254	8	they	they	PRON
brj-24822	254	9	have	have	VERB
brj-24822	254	10	no	no	DET
brj-24822	254	11	conflicts	conflict	NOUN
brj-24822	254	12	of	of	ADP
brj-24822	254	13	interest	interest	NOUN
brj-24822	254	14	.	.	PUNCT
brj-24822	255	1	references	reference	NOUN
brj-24822	255	2	cited	cite	VERB
brj-24822	255	3	abadi	abadi	PROPN
brj-24822	255	4	,	,	PUNCT
brj-24822	255	5	m.	m.	NOUN
brj-24822	255	6	,	,	PUNCT
brj-24822	255	7	barham	barham	PROPN
brj-24822	255	8	,	,	PUNCT
brj-24822	255	9	p.	p.	PROPN
brj-24822	255	10	,	,	PUNCT
brj-24822	255	11	chen	chen	PROPN
brj-24822	255	12	,	,	PUNCT
brj-24822	255	13	j.	j.	PROPN
brj-24822	255	14	,	,	PUNCT
brj-24822	255	15	chen	chen	PROPN
brj-24822	255	16	,	,	PUNCT
brj-24822	255	17	z.	z.	PROPN
brj-24822	255	18	,	,	PUNCT
brj-24822	255	19	davis	davis	PROPN
brj-24822	255	20	,	,	PUNCT
brj-24822	255	21	a.	a.	NOUN
brj-24822	255	22	,	,	PUNCT
brj-24822	255	23	dean	dean	PROPN
brj-24822	255	24	,	,	PUNCT
brj-24822	255	25	j.	j.	PROPN
brj-24822	255	26	,	,	PUNCT
brj-24822	255	27	devin	devin	PROPN
brj-24822	255	28	,	,	PUNCT
brj-24822	255	29	m.	m.	NOUN
brj-24822	255	30	,	,	PUNCT
brj-24822	255	31	ghemawat	ghemawat	PROPN
brj-24822	255	32	,	,	PUNCT
brj-24822	255	33	s.	s.	PROPN
brj-24822	255	34	,	,	PUNCT
brj-24822	255	35	irving	irving	PROPN
brj-24822	255	36	,	,	PUNCT
brj-24822	255	37	g.	g.	PROPN
brj-24822	255	38	,	,	PUNCT
brj-24822	255	39	and	and	CCONJ
brj-24822	255	40	isard	isard	ADJ
brj-24822	255	41	,	,	PUNCT
brj-24822	255	42	m.	m.	NOUN
brj-24822	255	43	(	(	PUNCT
brj-24822	255	44	2016	2016	NUM
brj-24822	255	45	)	)	PUNCT
brj-24822	255	46	.	.	PUNCT
brj-24822	256	1	“	"	PUNCT
brj-24822	256	2	tensorflow	tensorflow	NOUN
brj-24822	256	3	:	:	PUNCT
brj-24822	256	4	a	a	DET
brj-24822	256	5	system	system	NOUN
brj-24822	256	6	for	for	ADP
brj-24822	256	7	large	large	ADJ
brj-24822	256	8	-	-	PUNCT
brj-24822	256	9	scale	scale	NOUN
brj-24822	256	10	machine	machine	NOUN
brj-24822	256	11	learning	learning	NOUN
brj-24822	256	12	,	,	PUNCT
brj-24822	256	13	”	"	PUNCT
brj-24822	256	14	proceedings	proceeding	NOUN
brj-24822	256	15	of	of	ADP
brj-24822	256	16	the	the	DET
brj-24822	256	17	12th	12th	ADJ
brj-24822	256	18	usenix	usenix	NOUN
brj-24822	256	19	symposium	symposium	NOUN
brj-24822	256	20	on	on	ADP
brj-24822	256	21	operating	operating	NOUN
brj-24822	256	22	systems	system	NOUN
brj-24822	256	23	design	design	NOUN
brj-24822	256	24	and	and	CCONJ
brj-24822	256	25	implementation	implementation	NOUN
brj-24822	256	26	(	(	PUNCT
brj-24822	256	27	osdi	osdi	NOUN
brj-24822	256	28	16	16	NUM
brj-24822	256	29	)	)	PUNCT
brj-24822	256	30	,	,	PUNCT
brj-24822	256	31	pp	pp	ADJ
brj-24822	256	32	.	.	PUNCT
brj-24822	257	1	265	265	NUM
brj-24822	257	2	-	-	SYM
brj-24822	257	3	283	283	NUM
brj-24822	257	4	.	.	PUNCT
brj-24822	258	1	almeida	almeida	PROPN
brj-24822	258	2	,	,	PUNCT
brj-24822	258	3	j.	j.	PROPN
brj-24822	258	4	s.	s.	PROPN
brj-24822	258	5	(	(	PUNCT
brj-24822	258	6	2002	2002	NUM
brj-24822	258	7	)	)	PUNCT
brj-24822	258	8	.	.	PUNCT
brj-24822	259	1	"	"	PUNCT
brj-24822	259	2	predictive	predictive	ADJ
brj-24822	259	3	non	non	ADJ
brj-24822	259	4	-	-	ADJ
brj-24822	259	5	linear	linear	ADJ
brj-24822	259	6	modeling	modeling	NOUN
brj-24822	259	7	of	of	ADP
brj-24822	259	8	complex	complex	ADJ
brj-24822	259	9	data	datum	NOUN
brj-24822	259	10	by	by	ADP
brj-24822	259	11	artificial	artificial	ADJ
brj-24822	259	12	neural	neural	ADJ
brj-24822	259	13	networks	network	NOUN
brj-24822	259	14	,	,	PUNCT
brj-24822	259	15	"	"	PUNCT
brj-24822	259	16	curr	curr	X
brj-24822	259	17	.	.	PUNCT
brj-24822	260	1	opin	opin	NOUN
brj-24822	260	2	.	.	PUNCT
brj-24822	261	1	biotechnol	biotechnol	NOUN
brj-24822	261	2	.	.	PUNCT
brj-24822	262	1	13(1	13(1	X
brj-24822	262	2	)	)	PUNCT
brj-24822	262	3	,	,	PUNCT
brj-24822	262	4	72	72	NUM
brj-24822	262	5	-	-	SYM
brj-24822	262	6	76	76	NUM
brj-24822	262	7	.	.	PUNCT
brj-24822	263	1	doi	doi	NOUN
brj-24822	263	2	:	:	PUNCT
brj-24822	263	3	10.1016	10.1016	NUM
brj-24822	263	4	/	/	SYM
brj-24822	263	5	s09581669(02)00288	s09581669(02)00288	PROPN
brj-24822	263	6	-	-	SYM
brj-24822	263	7	4	4	NUM
brj-24822	263	8	antonopoulou	antonopoulou	ADJ
brj-24822	263	9	,	,	PUNCT
brj-24822	263	10	g.	g.	PROPN
brj-24822	263	11	,	,	PUNCT
brj-24822	263	12	vayenas	vayenas	PROPN
brj-24822	263	13	,	,	PUNCT
brj-24822	263	14	d.	d.	PROPN
brj-24822	263	15	,	,	PUNCT
brj-24822	263	16	and	and	CCONJ
brj-24822	263	17	lyberatos	lyberatos	NOUN
brj-24822	263	18	,	,	PUNCT
brj-24822	263	19	g.	g.	PROPN
brj-24822	263	20	(	(	PUNCT
brj-24822	263	21	2016	2016	NUM
brj-24822	263	22	)	)	PUNCT
brj-24822	263	23	.	.	PUNCT
brj-24822	264	1	"	"	PUNCT
brj-24822	264	2	ethanol	ethanol	NOUN
brj-24822	264	3	and	and	CCONJ
brj-24822	264	4	hydrogen	hydrogen	NOUN
brj-24822	264	5	production	production	NOUN
brj-24822	264	6	from	from	ADP
brj-24822	264	7	sunflower	sunflower	NOUN
brj-24822	264	8	straw	straw	NOUN
brj-24822	264	9	:	:	PUNCT
brj-24822	264	10	the	the	DET
brj-24822	264	11	effect	effect	NOUN
brj-24822	264	12	of	of	ADP
brj-24822	264	13	pretreatment	pretreatment	NOUN
brj-24822	264	14	on	on	ADP
brj-24822	264	15	the	the	DET
brj-24822	264	16	whole	whole	ADJ
brj-24822	264	17	slurry	slurry	NOUN
brj-24822	264	18	fermentation	fermentation	NOUN
brj-24822	264	19	,	,	PUNCT
brj-24822	264	20	"	"	PUNCT
brj-24822	264	21	biochem	biochem	NOUN
brj-24822	264	22	.	.	PUNCT
brj-24822	265	1	eng	eng	PROPN
brj-24822	265	2	.	.	PUNCT
brj-24822	266	1	j.	j.	PROPN
brj-24822	266	2	116	116	PROPN
brj-24822	266	3	,	,	PUNCT
brj-24822	266	4	65	65	NUM
brj-24822	266	5	-	-	SYM
brj-24822	266	6	74	74	NUM
brj-24822	266	7	.	.	PUNCT
brj-24822	267	1	doi	doi	NOUN
brj-24822	267	2	:	:	PUNCT
brj-24822	267	3	10.1016	10.1016	NUM
brj-24822	267	4	/	/	SYM
brj-24822	267	5	j.bej.2016.06.014	j.bej.2016.06.014	PROPN
brj-24822	267	6	azad	azad	PROPN
brj-24822	267	7	,	,	PUNCT
brj-24822	267	8	s.	s.	PROPN
brj-24822	267	9	a.	a.	PROPN
brj-24822	267	10	,	,	PUNCT
brj-24822	267	11	madadi	madadi	NOUN
brj-24822	267	12	,	,	PUNCT
brj-24822	267	13	m.	m.	NOUN
brj-24822	267	14	,	,	PUNCT
brj-24822	267	15	rahman	rahman	PROPN
brj-24822	267	16	,	,	PUNCT
brj-24822	267	17	a.	a.	NOUN
brj-24822	267	18	,	,	PUNCT
brj-24822	267	19	sun	sun	PROPN
brj-24822	267	20	,	,	PUNCT
brj-24822	267	21	c.	c.	PROPN
brj-24822	267	22	,	,	PUNCT
brj-24822	267	23	and	and	CCONJ
brj-24822	267	24	sun	sun	NOUN
brj-24822	267	25	,	,	PUNCT
brj-24822	267	26	f.	f.	PROPN
brj-24822	267	27	(	(	PUNCT
brj-24822	267	28	2025	2025	NUM
brj-24822	267	29	)	)	PUNCT
brj-24822	267	30	.	.	PUNCT
brj-24822	268	1	"	"	PUNCT
brj-24822	268	2	machine	machine	NOUN
brj-24822	268	3	learning	learning	NOUN
brj-24822	268	4	-	-	PUNCT
brj-24822	268	5	driven	drive	VERB
brj-24822	268	6	optimization	optimization	NOUN
brj-24822	268	7	of	of	ADP
brj-24822	268	8	pretreatment	pretreatment	NOUN
brj-24822	268	9	and	and	CCONJ
brj-24822	268	10	enzymatic	enzymatic	ADJ
brj-24822	268	11	hydrolysis	hydrolysis	NOUN
brj-24822	268	12	of	of	ADP
brj-24822	268	13	sugarcane	sugarcane	NOUN
brj-24822	268	14	bagasse	bagasse	NOUN
brj-24822	268	15	:	:	PUNCT
brj-24822	268	16	analytical	analytical	ADJ
brj-24822	268	17	insights	insight	NOUN
brj-24822	268	18	for	for	ADP
brj-24822	268	19	industrial	industrial	ADJ
brj-24822	268	20	scale	scale	NOUN
brj-24822	268	21	-	-	PUNCT
brj-24822	268	22	up	up	NOUN
brj-24822	268	23	"	"	PUNCT
brj-24822	268	24	fuel	fuel	NOUN
brj-24822	268	25	390	390	NUM
brj-24822	268	26	,	,	PUNCT
brj-24822	268	27	article	article	NOUN
brj-24822	268	28	134682	134682	NUM
brj-24822	268	29	.	.	PUNCT
brj-24822	269	1	doi	doi	NOUN
brj-24822	269	2	:	:	PUNCT
brj-24822	269	3	10.1016	10.1016	NUM
brj-24822	269	4	/	/	SYM
brj-24822	269	5	j.fuel.2025.134682	j.fuel.2025.134682	PROPN
brj-24822	269	6	bergstra	bergstra	PROPN
brj-24822	269	7	,	,	PUNCT
brj-24822	269	8	j.	j.	PROPN
brj-24822	269	9	,	,	PUNCT
brj-24822	269	10	and	and	CCONJ
brj-24822	269	11	bengio	bengio	PROPN
brj-24822	269	12	,	,	PUNCT
brj-24822	269	13	y.	y.	PROPN
brj-24822	269	14	(	(	PUNCT
brj-24822	269	15	2012	2012	NUM
brj-24822	269	16	)	)	PUNCT
brj-24822	269	17	.	.	PUNCT
brj-24822	270	1	"	"	PUNCT
brj-24822	270	2	random	random	ADJ
brj-24822	270	3	search	search	NOUN
brj-24822	270	4	for	for	ADP
brj-24822	270	5	hyper	hyper	ADJ
brj-24822	270	6	-	-	ADJ
brj-24822	270	7	parameter	parameter	ADJ
brj-24822	270	8	optimization	optimization	NOUN
brj-24822	270	9	,	,	PUNCT
brj-24822	270	10	"	"	PUNCT
brj-24822	270	11	j.	j.	PROPN
brj-24822	270	12	mach	mach	PROPN
brj-24822	270	13	.	.	PUNCT
brj-24822	271	1	learn	learn	VERB
brj-24822	271	2	.	.	PUNCT
brj-24822	272	1	res	re	NOUN
brj-24822	272	2	.	.	PUNCT
brj-24822	273	1	13(1	13(1	X
brj-24822	273	2	)	)	PUNCT
brj-24822	273	3	,	,	PUNCT
brj-24822	273	4	281	281	NUM
brj-24822	273	5	-	-	SYM
brj-24822	273	6	305	305	NUM
brj-24822	273	7	.	.	PUNCT
brj-24822	274	1	bhalla	bhalla	PROPN
brj-24822	274	2	,	,	PUNCT
brj-24822	274	3	a.	a.	NOUN
brj-24822	274	4	,	,	PUNCT
brj-24822	274	5	bansal	bansal	NOUN
brj-24822	274	6	,	,	PUNCT
brj-24822	274	7	n.	n.	NOUN
brj-24822	274	8	,	,	PUNCT
brj-24822	274	9	pattathil	pattathil	ADJ
brj-24822	274	10	,	,	PUNCT
brj-24822	274	11	s.	s.	PROPN
brj-24822	274	12	,	,	PUNCT
brj-24822	274	13	li	li	PROPN
brj-24822	274	14	,	,	PUNCT
brj-24822	274	15	m.	m.	NOUN
brj-24822	274	16	,	,	PUNCT
brj-24822	274	17	shen	shen	PROPN
brj-24822	274	18	,	,	PUNCT
brj-24822	274	19	w.	w.	PROPN
brj-24822	274	20	,	,	PUNCT
brj-24822	274	21	particka	particka	PROPN
brj-24822	274	22	,	,	PUNCT
brj-24822	274	23	c.	c.	PROPN
brj-24822	274	24	a.	a.	PROPN
brj-24822	274	25	,	,	PUNCT
brj-24822	274	26	karlen	karlen	PROPN
brj-24822	274	27	,	,	PUNCT
brj-24822	274	28	s.	s.	PROPN
brj-24822	274	29	d.	d.	PROPN
brj-24822	274	30	,	,	PUNCT
brj-24822	274	31	phongpreecha	phongpreecha	NOUN
brj-24822	274	32	,	,	PUNCT
brj-24822	274	33	t.	t.	PROPN
brj-24822	274	34	,	,	PUNCT
brj-24822	274	35	semaan	semaan	PROPN
brj-24822	274	36	,	,	PUNCT
brj-24822	274	37	r.	r.	PROPN
brj-24822	274	38	r.	r.	PROPN
brj-24822	274	39	,	,	PUNCT
brj-24822	274	40	gonzales	gonzales	PROPN
brj-24822	274	41	-	-	PUNCT
brj-24822	274	42	vigil	vigil	NOUN
brj-24822	274	43	,	,	PUNCT
brj-24822	274	44	e.	e.	PROPN
brj-24822	274	45	,	,	PUNCT
brj-24822	274	46	ralph	ralph	PROPN
brj-24822	274	47	,	,	PUNCT
brj-24822	274	48	j.	j.	PROPN
brj-24822	274	49	,	,	PUNCT
brj-24822	274	50	mansfield	mansfield	PROPN
brj-24822	274	51	,	,	PUNCT
brj-24822	274	52	s.	s.	PROPN
brj-24822	274	53	d.	d.	PROPN
brj-24822	274	54	,	,	PUNCT
brj-24822	274	55	ding	ding	PROPN
brj-24822	274	56	,	,	PUNCT
brj-24822	274	57	s.	s.	PROPN
brj-24822	274	58	,	,	PUNCT
brj-24822	274	59	hodge	hodge	PROPN
brj-24822	274	60	,	,	PUNCT
brj-24822	274	61	d.	d.	PROPN
brj-24822	274	62	b.	b.	PROPN
brj-24822	274	63	,	,	PUNCT
brj-24822	274	64	and	and	CCONJ
brj-24822	274	65	hegg	hegg	NOUN
brj-24822	274	66	,	,	PUNCT
brj-24822	274	67	e.	e.	PROPN
brj-24822	274	68	l.	l.	PROPN
brj-24822	274	69	(	(	PUNCT
brj-24822	274	70	2018	2018	NUM
brj-24822	274	71	)	)	PUNCT
brj-24822	274	72	.	.	PUNCT
brj-24822	275	1	"	"	PUNCT
brj-24822	275	2	engineered	engineer	VERB
brj-24822	275	3	lignin	lignin	NOUN
brj-24822	275	4	in	in	ADP
brj-24822	275	5	poplar	poplar	ADJ
brj-24822	275	6	biomass	biomass	NOUN
brj-24822	275	7	facilitates	facilitate	VERB
brj-24822	275	8	cu	cu	PROPN
brj-24822	275	9	-	-	PUNCT
brj-24822	275	10	catalyzed	catalyze	VERB
brj-24822	275	11	alkaline	alkaline	NOUN
brj-24822	275	12	-	-	PUNCT
brj-24822	275	13	oxidative	oxidative	ADJ
brj-24822	275	14	pretreatment	pretreatment	NOUN
brj-24822	275	15	,	,	PUNCT
brj-24822	275	16	"	"	PUNCT
brj-24822	275	17	acs	acs	PROPN
brj-24822	275	18	sustainable	sustainable	ADJ
brj-24822	275	19	chem	chem	NOUN
brj-24822	275	20	.	.	PUNCT
brj-24822	276	1	eng	eng	PROPN
brj-24822	276	2	.	.	PROPN
brj-24822	276	3	6(3	6(3	NUM
brj-24822	276	4	)	)	PUNCT
brj-24822	276	5	,	,	PUNCT
brj-24822	276	6	2932–2941	2932–2941	NUM
brj-24822	276	7	.	.	PUNCT
brj-24822	277	1	doi	doi	NOUN
brj-24822	277	2	:	:	PUNCT
brj-24822	277	3	10.1021	10.1021	NUM
brj-24822	277	4	/	/	SYM
brj-24822	277	5	acssuschemeng.7b02067	acssuschemeng.7b02067	PROPN
brj-24822	277	6	cai	cai	PROPN
brj-24822	277	7	,	,	PUNCT
brj-24822	277	8	c.	c.	PROPN
brj-24822	277	9	,	,	PUNCT
brj-24822	277	10	zhang	zhang	PROPN
brj-24822	277	11	,	,	PUNCT
brj-24822	277	12	c.	c.	PROPN
brj-24822	277	13	,	,	PUNCT
brj-24822	277	14	li	li	PROPN
brj-24822	277	15	,	,	PUNCT
brj-24822	277	16	n.	n.	PROPN
brj-24822	277	17	,	,	PUNCT
brj-24822	277	18	liu	liu	PROPN
brj-24822	277	19	,	,	PUNCT
brj-24822	277	20	h.	h.	PROPN
brj-24822	277	21	,	,	PUNCT
brj-24822	277	22	xie	xie	PROPN
brj-24822	277	23	,	,	PUNCT
brj-24822	277	24	j.	j.	PROPN
brj-24822	277	25	,	,	PUNCT
brj-24822	277	26	lou	lou	PROPN
brj-24822	277	27	,	,	PUNCT
brj-24822	277	28	h.	h.	PROPN
brj-24822	277	29	,	,	PUNCT
brj-24822	277	30	pan	pan	PROPN
brj-24822	277	31	,	,	PUNCT
brj-24822	277	32	x.	x.	PROPN
brj-24822	277	33	,	,	PUNCT
brj-24822	277	34	zhu	zhu	PROPN
brj-24822	277	35	,	,	PUNCT
brj-24822	277	36	j.	j.	PROPN
brj-24822	277	37	y.	y.	PROPN
brj-24822	277	38	,	,	PUNCT
brj-24822	277	39	and	and	CCONJ
brj-24822	277	40	wang	wang	PROPN
brj-24822	277	41	,	,	PUNCT
brj-24822	277	42	f.	f.	PROPN
brj-24822	277	43	(	(	PUNCT
brj-24822	277	44	2023	2023	NUM
brj-24822	277	45	)	)	PUNCT
brj-24822	277	46	.	.	PUNCT
brj-24822	278	1	"	"	PUNCT
brj-24822	278	2	changing	change	VERB
brj-24822	278	3	the	the	DET
brj-24822	278	4	role	role	NOUN
brj-24822	278	5	of	of	ADP
brj-24822	278	6	lignin	lignin	NOUN
brj-24822	278	7	in	in	ADP
brj-24822	278	8	enzymatic	enzymatic	ADJ
brj-24822	278	9	hydrolysis	hydrolysis	NOUN
brj-24822	278	10	for	for	ADP
brj-24822	278	11	a	a	DET
brj-24822	278	12	sustainable	sustainable	ADJ
brj-24822	278	13	and	and	CCONJ
brj-24822	278	14	efficient	efficient	ADJ
brj-24822	278	15	sugar	sugar	NOUN
brj-24822	278	16	platform	platform	NOUN
brj-24822	278	17	,	,	PUNCT
brj-24822	278	18	"	"	PUNCT
brj-24822	278	19	renew	renew	NOUN
brj-24822	278	20	.	.	PUNCT
brj-24822	279	1	sustain	sustain	VERB
brj-24822	279	2	.	.	PUNCT
brj-24822	280	1	energy	energy	NOUN
brj-24822	280	2	rev	rev	VERB
brj-24822	280	3	.	.	PROPN
brj-24822	280	4	183	183	NUM
brj-24822	280	5	,	,	PUNCT
brj-24822	280	6	article	article	NOUN
brj-24822	280	7	113445	113445	NUM
brj-24822	280	8	.	.	PUNCT
brj-24822	281	1	doi	doi	NOUN
brj-24822	281	2	:	:	PUNCT
brj-24822	281	3	10.1016	10.1016	NUM
brj-24822	281	4	/	/	SYM
brj-24822	281	5	j.rser.2023.113445	j.rser.2023.113445	PROPN
brj-24822	281	6	chen	chen	PROPN
brj-24822	281	7	,	,	PUNCT
brj-24822	281	8	y.	y.	PROPN
brj-24822	281	9	,	,	PUNCT
brj-24822	281	10	chong	chong	PROPN
brj-24822	281	11	,	,	PUNCT
brj-24822	281	12	p.	p.	PROPN
brj-24822	281	13	p.	p.	PROPN
brj-24822	281	14	,	,	PUNCT
brj-24822	281	15	and	and	CCONJ
brj-24822	281	16	tong	tong	PROPN
brj-24822	281	17	,	,	PUNCT
brj-24822	281	18	m.	m.	NOUN
brj-24822	281	19	y.	y.	PROPN
brj-24822	281	20	(	(	PUNCT
brj-24822	281	21	1994	1994	NUM
brj-24822	281	22	)	)	PUNCT
brj-24822	281	23	.	.	PUNCT
brj-24822	282	1	"	"	PUNCT
brj-24822	282	2	mathematical	mathematical	ADJ
brj-24822	282	3	and	and	CCONJ
brj-24822	282	4	computer	computer	NOUN
brj-24822	282	5	modelling	modelling	NOUN
brj-24822	282	6	of	of	ADP
brj-24822	282	7	the	the	DET
brj-24822	282	8	pareto	pareto	ADJ
brj-24822	282	9	principle	principle	NOUN
brj-24822	282	10	,	,	PUNCT
brj-24822	282	11	"	"	PUNCT
brj-24822	282	12	math	math	NOUN
brj-24822	282	13	.	.	PUNCT
brj-24822	283	1	comput	comput	PROPN
brj-24822	283	2	.	.	PUNCT
brj-24822	284	1	model	model	NOUN
brj-24822	284	2	.	.	PUNCT
brj-24822	285	1	19(9	19(9	NUM
brj-24822	285	2	)	)	PUNCT
brj-24822	285	3	,	,	PUNCT
brj-24822	285	4	61–80	61–80	NUM
brj-24822	285	5	.	.	PUNCT
brj-24822	286	1	doi	doi	NOUN
brj-24822	286	2	:	:	PUNCT
brj-24822	286	3	10.1016/0895	10.1016/0895	NUM
brj-24822	286	4	-	-	PUNCT
brj-24822	286	5	7177(94)90041	7177(94)90041	NUM
brj-24822	286	6	-	-	PUNCT
brj-24822	286	7	8	8	NUM
brj-24822	286	8	peer	peer	NOUN
brj-24822	286	9	-	-	PUNCT
brj-24822	286	10	reviewed	review	VERB
brj-24822	286	11	article	article	NOUN
brj-24822	286	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	286	13	kim	kim	PROPN
brj-24822	286	14	et	et	PROPN
brj-24822	286	15	al	al	PROPN
brj-24822	286	16	.	.	PROPN
brj-24822	287	1	(	(	PUNCT
brj-24822	287	2	2025	2025	NUM
brj-24822	287	3	)	)	PUNCT
brj-24822	287	4	.	.	PUNCT
brj-24822	288	1	“	"	PUNCT
brj-24822	288	2	steam	steam	NOUN
brj-24822	288	3	&	&	CCONJ
brj-24822	288	4	naoh	naoh	PROPN
brj-24822	288	5	pretreatments	pretreatment	NOUN
brj-24822	288	6	,	,	PUNCT
brj-24822	288	7	”	"	PUNCT
brj-24822	288	8	bioresources	bioresource	VERB
brj-24822	288	9	20(4	20(4	NOUN
brj-24822	288	10	)	)	PUNCT
brj-24822	288	11	,	,	PUNCT
brj-24822	288	12	8400	8400	NUM
brj-24822	288	13	-	-	SYM
brj-24822	288	14	8419	8419	NUM
brj-24822	288	15	.	.	PUNCT
brj-24822	289	1	8415	8415	NUM
brj-24822	289	2	chicco	chicco	NOUN
brj-24822	289	3	,	,	PUNCT
brj-24822	289	4	d.	d.	PROPN
brj-24822	289	5	,	,	PUNCT
brj-24822	289	6	warrens	warrens	PROPN
brj-24822	289	7	,	,	PUNCT
brj-24822	289	8	m.	m.	NOUN
brj-24822	289	9	j.	j.	PROPN
brj-24822	289	10	,	,	PUNCT
brj-24822	289	11	and	and	CCONJ
brj-24822	289	12	jurman	jurman	NOUN
brj-24822	289	13	,	,	PUNCT
brj-24822	289	14	g.	g.	PROPN
brj-24822	289	15	(	(	PUNCT
brj-24822	289	16	2021	2021	NUM
brj-24822	289	17	)	)	PUNCT
brj-24822	289	18	.	.	PUNCT
brj-24822	290	1	"	"	PUNCT
brj-24822	290	2	the	the	DET
brj-24822	290	3	coefficient	coefficient	NOUN
brj-24822	290	4	of	of	ADP
brj-24822	290	5	determination	determination	NOUN
brj-24822	290	6	r	r	NOUN
brj-24822	290	7	-	-	PUNCT
brj-24822	290	8	squared	square	VERB
brj-24822	290	9	is	be	AUX
brj-24822	290	10	more	more	ADV
brj-24822	290	11	informative	informative	ADJ
brj-24822	290	12	than	than	ADP
brj-24822	290	13	smape	smape	NOUN
brj-24822	290	14	,	,	PUNCT
brj-24822	290	15	mae	mae	PROPN
brj-24822	290	16	,	,	PUNCT
brj-24822	290	17	mape	mape	NOUN
brj-24822	290	18	,	,	PUNCT
brj-24822	290	19	mse	mse	NOUN
brj-24822	290	20	and	and	CCONJ
brj-24822	290	21	rmse	rmse	NOUN
brj-24822	290	22	in	in	ADP
brj-24822	290	23	regression	regression	NOUN
brj-24822	290	24	analysis	analysis	NOUN
brj-24822	290	25	evaluation	evaluation	NOUN
brj-24822	290	26	,	,	PUNCT
brj-24822	290	27	"	"	PUNCT
brj-24822	290	28	peerj	peerj	NOUN
brj-24822	290	29	comput	comput	NOUN
brj-24822	290	30	.	.	PUNCT
brj-24822	291	1	sci	sci	PROPN
brj-24822	291	2	.	.	PROPN
brj-24822	292	1	7	7	NUM
brj-24822	292	2	,	,	PUNCT
brj-24822	292	3	article	article	NOUN
brj-24822	292	4	e623	e623	NUM
brj-24822	292	5	.	.	PUNCT
brj-24822	293	1	doi	doi	PROPN
brj-24822	293	2	:	:	PUNCT
brj-24822	293	3	10.7717	10.7717	NUM
brj-24822	293	4	/	/	SYM
brj-24822	293	5	peerj	peerj	NOUN
brj-24822	293	6	-	-	PUNCT
brj-24822	293	7	cs.623	cs.623	NOUN
brj-24822	293	8	de	de	PROPN
brj-24822	293	9	farias	farias	PROPN
brj-24822	293	10	silva	silva	PROPN
brj-24822	293	11	,	,	PUNCT
brj-24822	293	12	c.	c.	PROPN
brj-24822	293	13	e.	e.	PROPN
brj-24822	293	14	,	,	PUNCT
brj-24822	293	15	costa	costa	PROPN
brj-24822	293	16	,	,	PUNCT
brj-24822	293	17	g.	g.	PROPN
brj-24822	293	18	y.	y.	PROPN
brj-24822	293	19	s.	s.	PROPN
brj-24822	293	20	c.	c.	PROPN
brj-24822	293	21	m.	m.	PROPN
brj-24822	293	22	,	,	PUNCT
brj-24822	293	23	ferro	ferro	PROPN
brj-24822	293	24	,	,	PUNCT
brj-24822	293	25	j.	j.	PROPN
brj-24822	293	26	v.	v.	PROPN
brj-24822	293	27	,	,	PUNCT
brj-24822	293	28	carvalho	carvalho	PROPN
brj-24822	293	29	,	,	PUNCT
brj-24822	293	30	f.	f.	PROPN
brj-24822	293	31	o.	o.	PROPN
brj-24822	293	32	,	,	PUNCT
brj-24822	293	33	da	da	PROPN
brj-24822	293	34	gama	gama	NOUN
brj-24822	293	35	,	,	PUNCT
brj-24822	293	36	b.	b.	PROPN
brj-24822	293	37	m.	m.	PROPN
brj-24822	293	38	v.	v.	PROPN
brj-24822	293	39	,	,	PUNCT
brj-24822	293	40	meili	meili	PROPN
brj-24822	293	41	,	,	PUNCT
brj-24822	293	42	l.	l.	PROPN
brj-24822	293	43	,	,	PUNCT
brj-24822	293	44	silva	silva	PROPN
brj-24822	293	45	,	,	PUNCT
brj-24822	293	46	m.	m.	NOUN
brj-24822	293	47	c.	c.	PROPN
brj-24822	293	48	s.	s.	PROPN
brj-24822	293	49	,	,	PUNCT
brj-24822	293	50	almeida	almeida	PROPN
brj-24822	293	51	,	,	PUNCT
brj-24822	293	52	r.	r.	PROPN
brj-24822	293	53	m.	m.	PROPN
brj-24822	293	54	r.	r.	PROPN
brj-24822	293	55	g.	g.	PROPN
brj-24822	293	56	,	,	PUNCT
brj-24822	293	57	and	and	CCONJ
brj-24822	293	58	tonholo	tonholo	PROPN
brj-24822	293	59	,	,	PUNCT
brj-24822	293	60	j.	j.	PROPN
brj-24822	293	61	(	(	PUNCT
brj-24822	293	62	2022	2022	NUM
brj-24822	293	63	)	)	PUNCT
brj-24822	293	64	.	.	PUNCT
brj-24822	294	1	"	"	PUNCT
brj-24822	294	2	application	application	NOUN
brj-24822	294	3	of	of	ADP
brj-24822	294	4	machine	machine	NOUN
brj-24822	294	5	learning	learn	VERB
brj-24822	294	6	to	to	PART
brj-24822	294	7	predict	predict	VERB
brj-24822	294	8	the	the	DET
brj-24822	294	9	yield	yield	NOUN
brj-24822	294	10	of	of	ADP
brj-24822	294	11	alginate	alginate	NOUN
brj-24822	294	12	lyase	lyase	NOUN
brj-24822	294	13	solid	solid	ADJ
brj-24822	294	14	-	-	PUNCT
brj-24822	294	15	state	state	NOUN
brj-24822	294	16	fermentation	fermentation	NOUN
brj-24822	294	17	by	by	ADP
brj-24822	294	18	cunninghamella	cunninghamella	NOUN
brj-24822	294	19	echinulata	echinulata	NOUN
brj-24822	294	20	:	:	PUNCT
brj-24822	294	21	artificial	artificial	ADJ
brj-24822	294	22	neural	neural	ADJ
brj-24822	294	23	networks	network	NOUN
brj-24822	294	24	and	and	CCONJ
brj-24822	294	25	support	support	VERB
brj-24822	294	26	vector	vector	NOUN
brj-24822	294	27	machine	machine	NOUN
brj-24822	294	28	,	,	PUNCT
brj-24822	294	29	"	"	PUNCT
brj-24822	294	30	react	react	VERB
brj-24822	294	31	.	.	PUNCT
brj-24822	295	1	kinet	kinet	NOUN
brj-24822	295	2	.	.	PUNCT
brj-24822	296	1	mech	mech	PROPN
brj-24822	296	2	.	.	PUNCT
brj-24822	297	1	catal	catal	PROPN
brj-24822	297	2	.	.	PUNCT
brj-24822	298	1	135(6	135(6	NUM
brj-24822	298	2	)	)	PUNCT
brj-24822	298	3	,	,	PUNCT
brj-24822	298	4	3155	3155	NUM
brj-24822	298	5	-	-	SYM
brj-24822	298	6	3171	3171	NUM
brj-24822	298	7	.	.	PUNCT
brj-24822	299	1	doi	doi	NOUN
brj-24822	299	2	:	:	PUNCT
brj-24822	299	3	10.1007	10.1007	NUM
brj-24822	299	4	/	/	SYM
brj-24822	299	5	s11144	s11144	PROPN
brj-24822	299	6	-	-	PUNCT
brj-24822	299	7	022	022	NUM
brj-24822	299	8	-	-	PUNCT
brj-24822	299	9	02293	02293	NUM
brj-24822	299	10	-	-	SYM
brj-24822	299	11	9	9	NUM
brj-24822	299	12	ding	ding	NOUN
brj-24822	299	13	,	,	PUNCT
brj-24822	299	14	s.	s.	PROPN
brj-24822	299	15	,	,	PUNCT
brj-24822	299	16	and	and	CCONJ
brj-24822	299	17	himmel	himmel	NOUN
brj-24822	299	18	,	,	PUNCT
brj-24822	299	19	m.	m.	PROPN
brj-24822	299	20	e.	e.	PROPN
brj-24822	299	21	(	(	PUNCT
brj-24822	299	22	2006	2006	NUM
brj-24822	299	23	)	)	PUNCT
brj-24822	299	24	.	.	PUNCT
brj-24822	300	1	"	"	PUNCT
brj-24822	300	2	the	the	DET
brj-24822	300	3	maize	maize	NOUN
brj-24822	300	4	primary	primary	ADJ
brj-24822	300	5	cell	cell	NOUN
brj-24822	300	6	wall	wall	NOUN
brj-24822	300	7	microfibril	microfibril	PROPN
brj-24822	300	8	:	:	PUNCT
brj-24822	300	9	a	a	DET
brj-24822	300	10	new	new	ADJ
brj-24822	300	11	model	model	NOUN
brj-24822	300	12	derived	derive	VERB
brj-24822	300	13	from	from	ADP
brj-24822	300	14	direct	direct	ADJ
brj-24822	300	15	visualization	visualization	NOUN
brj-24822	300	16	,	,	PUNCT
brj-24822	300	17	"	"	PUNCT
brj-24822	300	18	j.	j.	PROPN
brj-24822	300	19	agric	agric	PROPN
brj-24822	300	20	.	.	PUNCT
brj-24822	301	1	food	food	NOUN
brj-24822	301	2	chem	chem	NOUN
brj-24822	301	3	.	.	PUNCT
brj-24822	302	1	54(3	54(3	NUM
brj-24822	302	2	)	)	PUNCT
brj-24822	302	3	,	,	PUNCT
brj-24822	302	4	597	597	NUM
brj-24822	302	5	-	-	SYM
brj-24822	302	6	606	606	NUM
brj-24822	302	7	.	.	PUNCT
brj-24822	303	1	doi	doi	NOUN
brj-24822	303	2	:	:	PUNCT
brj-24822	303	3	10.1021	10.1021	NUM
brj-24822	303	4	/	/	SYM
brj-24822	303	5	jf051851z	jf051851z	PROPN
brj-24822	303	6	gunam	gunam	PROPN
brj-24822	303	7	,	,	PUNCT
brj-24822	303	8	i.	i.	PROPN
brj-24822	303	9	,	,	PUNCT
brj-24822	303	10	setiyo	setiyo	PROPN
brj-24822	303	11	,	,	PUNCT
brj-24822	303	12	y.	y.	NOUN
brj-24822	303	13	,	,	PUNCT
brj-24822	303	14	antara	antara	NOUN
brj-24822	303	15	,	,	PUNCT
brj-24822	303	16	n.	n.	PROPN
brj-24822	303	17	s.	s.	PROPN
brj-24822	303	18	,	,	PUNCT
brj-24822	303	19	wijaya	wijaya	PROPN
brj-24822	303	20	,	,	PUNCT
brj-24822	303	21	i.	i.	PROPN
brj-24822	303	22	,	,	PUNCT
brj-24822	303	23	arnata	arnata	PROPN
brj-24822	303	24	,	,	PUNCT
brj-24822	303	25	i.	i.	PROPN
brj-24822	303	26	w.	w.	PROPN
brj-24822	303	27	,	,	PUNCT
brj-24822	303	28	and	and	CCONJ
brj-24822	303	29	putra	putra	PROPN
brj-24822	303	30	,	,	PUNCT
brj-24822	303	31	i.	i.	PROPN
brj-24822	303	32	(	(	PUNCT
brj-24822	303	33	2020	2020	NUM
brj-24822	303	34	)	)	PUNCT
brj-24822	303	35	.	.	PUNCT
brj-24822	304	1	"	"	PUNCT
brj-24822	304	2	enhanced	enhance	VERB
brj-24822	304	3	delignification	delignification	NOUN
brj-24822	304	4	of	of	ADP
brj-24822	304	5	corn	corn	NOUN
brj-24822	304	6	straw	straw	NOUN
brj-24822	304	7	with	with	ADP
brj-24822	304	8	alkaline	alkaline	NOUN
brj-24822	304	9	pretreatment	pretreatment	NOUN
brj-24822	304	10	at	at	ADP
brj-24822	304	11	mild	mild	ADJ
brj-24822	304	12	temperature	temperature	NOUN
brj-24822	304	13	,	,	PUNCT
brj-24822	304	14	"	"	PUNCT
brj-24822	304	15	rasayan	rasayan	PROPN
brj-24822	304	16	j.	j.	PROPN
brj-24822	304	17	chem	chem	PROPN
brj-24822	304	18	.	.	PUNCT
brj-24822	305	1	13	13	NUM
brj-24822	305	2	,	,	PUNCT
brj-24822	305	3	1022–1029	1022–1029	NUM
brj-24822	305	4	.	.	PUNCT
brj-24822	306	1	doi	doi	NOUN
brj-24822	306	2	:	:	PUNCT
brj-24822	306	3	10.31788	10.31788	NUM
brj-24822	306	4	/	/	SYM
brj-24822	306	5	rjc.2020.1325573	rjc.2020.1325573	VERB
brj-24822	306	6	ha	ha	INTJ
brj-24822	306	7	,	,	PUNCT
brj-24822	306	8	s.	s.	PROPN
brj-24822	306	9	y.	y.	PROPN
brj-24822	306	10	,	,	PUNCT
brj-24822	306	11	jung	jung	PROPN
brj-24822	306	12	,	,	PUNCT
brj-24822	306	13	j.	j.	PROPN
brj-24822	306	14	y.	y.	PROPN
brj-24822	306	15	,	,	PUNCT
brj-24822	306	16	kim	kim	PROPN
brj-24822	306	17	,	,	PUNCT
brj-24822	306	18	h.	h.	PROPN
brj-24822	306	19	c.	c.	PROPN
brj-24822	306	20	,	,	PUNCT
brj-24822	306	21	lim	lim	PROPN
brj-24822	306	22	,	,	PUNCT
brj-24822	306	23	w.	w.	PROPN
brj-24822	306	24	s.	s.	PROPN
brj-24822	306	25	,	,	PUNCT
brj-24822	306	26	and	and	CCONJ
brj-24822	306	27	yang	yang	PROPN
brj-24822	306	28	,	,	PUNCT
brj-24822	306	29	j.	j.	PROPN
brj-24822	306	30	(	(	PUNCT
brj-24822	306	31	2024	2024	NUM
brj-24822	306	32	)	)	PUNCT
brj-24822	306	33	.	.	PUNCT
brj-24822	307	1	"	"	PUNCT
brj-24822	307	2	low	low	ADJ
brj-24822	307	3	-	-	PUNCT
brj-24822	307	4	temperature	temperature	NOUN
brj-24822	307	5	and	and	CCONJ
brj-24822	307	6	low	low	ADJ
brj-24822	307	7	-	-	PUNCT
brj-24822	307	8	concentration	concentration	NOUN
brj-24822	307	9	sodium	sodium	NOUN
brj-24822	307	10	hydroxide	hydroxide	NOUN
brj-24822	307	11	pretreatment	pretreatment	NOUN
brj-24822	307	12	for	for	ADP
brj-24822	307	13	enhanced	enhanced	ADJ
brj-24822	307	14	enzyme	enzyme	NOUN
brj-24822	307	15	hydrolysis	hydrolysis	NOUN
brj-24822	307	16	rate	rate	NOUN
brj-24822	307	17	from	from	ADP
brj-24822	307	18	quercus	quercus	PROPN
brj-24822	307	19	variabilis	variabilis	NOUN
brj-24822	307	20	blume	blume	NOUN
brj-24822	307	21	,	,	PUNCT
brj-24822	307	22	"	"	PUNCT
brj-24822	307	23	bioresources	bioresource	NOUN
brj-24822	307	24	19(2	19(2	NUM
brj-24822	307	25	)	)	PUNCT
brj-24822	307	26	,	,	PUNCT
brj-24822	307	27	2592–2604	2592–2604	NUM
brj-24822	307	28	.	.	PUNCT
brj-24822	308	1	doi	doi	NOUN
brj-24822	308	2	:	:	PUNCT
brj-24822	308	3	10.15376	10.15376	NUM
brj-24822	308	4	/	/	SYM
brj-24822	308	5	biores.19.2.2592	biores.19.2.2592	PROPN
brj-24822	308	6	-	-	PUNCT
brj-24822	308	7	2604	2604	NUM
brj-24822	308	8	huang	huang	PROPN
brj-24822	308	9	,	,	PUNCT
brj-24822	308	10	f.	f.	PROPN
brj-24822	308	11	,	,	PUNCT
brj-24822	308	12	teng	teng	PROPN
brj-24822	308	13	,	,	PUNCT
brj-24822	308	14	z.	z.	PROPN
brj-24822	308	15	,	,	PUNCT
brj-24822	308	16	guo	guo	PROPN
brj-24822	308	17	,	,	PUNCT
brj-24822	308	18	z.	z.	PROPN
brj-24822	308	19	,	,	PUNCT
brj-24822	308	20	catani	catani	PROPN
brj-24822	308	21	,	,	PUNCT
brj-24822	308	22	f.	f.	PROPN
brj-24822	308	23	,	,	PUNCT
brj-24822	308	24	and	and	CCONJ
brj-24822	308	25	huang	huang	PROPN
brj-24822	308	26	,	,	PUNCT
brj-24822	308	27	j.	j.	PROPN
brj-24822	308	28	(	(	PUNCT
brj-24822	308	29	2023	2023	NUM
brj-24822	308	30	)	)	PUNCT
brj-24822	308	31	.	.	PUNCT
brj-24822	309	1	"	"	PUNCT
brj-24822	309	2	uncertainties	uncertainty	NOUN
brj-24822	309	3	of	of	ADP
brj-24822	309	4	landslide	landslide	NOUN
brj-24822	309	5	susceptibility	susceptibility	NOUN
brj-24822	309	6	prediction	prediction	NOUN
brj-24822	309	7	:	:	PUNCT
brj-24822	309	8	influences	influence	NOUN
brj-24822	309	9	of	of	ADP
brj-24822	309	10	different	different	ADJ
brj-24822	309	11	spatial	spatial	ADJ
brj-24822	309	12	resolutions	resolution	NOUN
brj-24822	309	13	,	,	PUNCT
brj-24822	309	14	machine	machine	NOUN
brj-24822	309	15	learning	learning	NOUN
brj-24822	309	16	models	model	NOUN
brj-24822	309	17	and	and	CCONJ
brj-24822	309	18	proportions	proportion	NOUN
brj-24822	309	19	of	of	ADP
brj-24822	309	20	training	training	NOUN
brj-24822	309	21	and	and	CCONJ
brj-24822	309	22	testing	testing	NOUN
brj-24822	309	23	dataset	dataset	NOUN
brj-24822	309	24	,	,	PUNCT
brj-24822	309	25	"	"	PUNCT
brj-24822	309	26	rock	rock	NOUN
brj-24822	309	27	mech	mech	NOUN
brj-24822	309	28	.	.	PUNCT
brj-24822	310	1	bull	bull	NOUN
brj-24822	310	2	.	.	PUNCT
brj-24822	311	1	2(1	2(1	NUM
brj-24822	311	2	)	)	PUNCT
brj-24822	312	1	,	,	PUNCT
brj-24822	312	2	article	article	NOUN
brj-24822	312	3	100028	100028	NUM
brj-24822	312	4	.	.	PUNCT
brj-24822	313	1	doi	doi	NOUN
brj-24822	313	2	:	:	PUNCT
brj-24822	313	3	10.1016	10.1016	NUM
brj-24822	313	4	/	/	SYM
brj-24822	313	5	j.rockmb.2023.100028	j.rockmb.2023.100028	ADJ
brj-24822	313	6	ioelovich	ioelovich	NOUN
brj-24822	313	7	,	,	PUNCT
brj-24822	313	8	m.	m.	NOUN
brj-24822	313	9	,	,	PUNCT
brj-24822	313	10	and	and	CCONJ
brj-24822	313	11	morag	morag	PROPN
brj-24822	313	12	,	,	PUNCT
brj-24822	313	13	e.	e.	PROPN
brj-24822	313	14	(	(	PUNCT
brj-24822	313	15	2012	2012	NUM
brj-24822	313	16	)	)	PUNCT
brj-24822	313	17	.	.	PUNCT
brj-24822	314	1	"	"	PUNCT
brj-24822	314	2	study	study	NOUN
brj-24822	314	3	of	of	ADP
brj-24822	314	4	enzymatic	enzymatic	ADJ
brj-24822	314	5	hydrolysis	hydrolysis	NOUN
brj-24822	314	6	of	of	ADP
brj-24822	314	7	mild	mild	ADJ
brj-24822	314	8	pretreated	pretreate	VERB
brj-24822	314	9	lignocellulosic	lignocellulosic	ADJ
brj-24822	314	10	biomasses	biomass	NOUN
brj-24822	314	11	,	,	PUNCT
brj-24822	314	12	"	"	PUNCT
brj-24822	314	13	bioresources	bioresource	NOUN
brj-24822	314	14	7(1	7(1	NUM
brj-24822	314	15	)	)	PUNCT
brj-24822	314	16	,	,	PUNCT
brj-24822	314	17	1040	1040	NUM
brj-24822	314	18	-	-	SYM
brj-24822	314	19	1052	1052	NUM
brj-24822	314	20	.	.	PUNCT
brj-24822	315	1	doi	doi	NOUN
brj-24822	315	2	:	:	PUNCT
brj-24822	315	3	10.15376	10.15376	NUM
brj-24822	315	4	/	/	SYM
brj-24822	315	5	biores.7.1.1040	biores.7.1.1040	ADJ
brj-24822	315	6	-	-	PUNCT
brj-24822	315	7	1052	1052	NUM
brj-24822	315	8	jacquet	jacquet	NOUN
brj-24822	315	9	,	,	PUNCT
brj-24822	315	10	n.	n.	NOUN
brj-24822	315	11	,	,	PUNCT
brj-24822	315	12	vanderghem	vanderghem	PROPN
brj-24822	315	13	,	,	PUNCT
brj-24822	315	14	c.	c.	NOUN
brj-24822	315	15	,	,	PUNCT
brj-24822	315	16	danthine	danthine	PROPN
brj-24822	315	17	,	,	PUNCT
brj-24822	315	18	s.	s.	PROPN
brj-24822	315	19	,	,	PUNCT
brj-24822	315	20	quiévy	quiévy	NOUN
brj-24822	315	21	,	,	PUNCT
brj-24822	315	22	n.	n.	NOUN
brj-24822	315	23	,	,	PUNCT
brj-24822	315	24	blecker	blecker	NOUN
brj-24822	315	25	,	,	PUNCT
brj-24822	315	26	c.	c.	NOUN
brj-24822	315	27	,	,	PUNCT
brj-24822	315	28	devaux	devaux	PROPN
brj-24822	315	29	,	,	PUNCT
brj-24822	315	30	j.	j.	PROPN
brj-24822	315	31	,	,	PUNCT
brj-24822	315	32	and	and	CCONJ
brj-24822	315	33	paquot	paquot	ADJ
brj-24822	315	34	,	,	PUNCT
brj-24822	315	35	m.	m.	NOUN
brj-24822	315	36	(	(	PUNCT
brj-24822	315	37	2012	2012	NUM
brj-24822	315	38	)	)	PUNCT
brj-24822	315	39	.	.	PUNCT
brj-24822	316	1	"	"	PUNCT
brj-24822	316	2	influence	influence	NOUN
brj-24822	316	3	of	of	ADP
brj-24822	316	4	steam	steam	NOUN
brj-24822	316	5	explosion	explosion	NOUN
brj-24822	316	6	on	on	ADP
brj-24822	316	7	physicochemical	physicochemical	ADJ
brj-24822	316	8	properties	property	NOUN
brj-24822	316	9	and	and	CCONJ
brj-24822	316	10	hydrolysis	hydrolysis	NOUN
brj-24822	316	11	rate	rate	NOUN
brj-24822	316	12	of	of	ADP
brj-24822	316	13	pure	pure	ADJ
brj-24822	316	14	cellulose	cellulose	NOUN
brj-24822	316	15	fibers	fiber	NOUN
brj-24822	316	16	,	,	PUNCT
brj-24822	316	17	"	"	PUNCT
brj-24822	316	18	bioresource	bioresource	ADP
brj-24822	316	19	technol	technol	NOUN
brj-24822	316	20	.	.	PROPN
brj-24822	316	21	121	121	NUM
brj-24822	316	22	,	,	PUNCT
brj-24822	316	23	221	221	NUM
brj-24822	316	24	-	-	SYM
brj-24822	316	25	227	227	NUM
brj-24822	316	26	.	.	PUNCT
brj-24822	317	1	doi	doi	NOUN
brj-24822	317	2	:	:	PUNCT
brj-24822	317	3	10.1016	10.1016	NUM
brj-24822	317	4	/	/	SYM
brj-24822	317	5	j.biortech.2012.06.073	j.biortech.2012.06.073	NOUN
brj-24822	317	6	jacquet	jacquet	NOUN
brj-24822	317	7	,	,	PUNCT
brj-24822	317	8	n.	n.	NOUN
brj-24822	317	9	,	,	PUNCT
brj-24822	317	10	vanderghem	vanderghem	PROPN
brj-24822	317	11	,	,	PUNCT
brj-24822	317	12	c.	c.	NOUN
brj-24822	317	13	,	,	PUNCT
brj-24822	317	14	blecker	blecker	NOUN
brj-24822	317	15	,	,	PUNCT
brj-24822	317	16	c.	c.	NOUN
brj-24822	317	17	,	,	PUNCT
brj-24822	317	18	and	and	CCONJ
brj-24822	317	19	paquot	paquot	ADJ
brj-24822	317	20	,	,	PUNCT
brj-24822	317	21	m.	m.	NOUN
brj-24822	317	22	(	(	PUNCT
brj-24822	317	23	2010	2010	NUM
brj-24822	317	24	)	)	PUNCT
brj-24822	317	25	.	.	PUNCT
brj-24822	318	1	"	"	PUNCT
brj-24822	318	2	la	la	ADJ
brj-24822	318	3	steam	steam	NOUN
brj-24822	318	4	explosion	explosion	NOUN
brj-24822	318	5	:	:	PUNCT
brj-24822	318	6	application	application	NOUN
brj-24822	318	7	en	en	ADP
brj-24822	318	8	tant	tant	PROPN
brj-24822	318	9	que	que	PROPN
brj-24822	318	10	prétraitement	prétraitement	PROPN
brj-24822	318	11	de	de	X
brj-24822	318	12	la	la	X
brj-24822	318	13	matière	matière	X
brj-24822	318	14	lignocellulosique	lignocellulosique	ADJ
brj-24822	318	15	,	,	PUNCT
brj-24822	318	16	"	"	PUNCT
brj-24822	318	17	base	base	NOUN
brj-24822	318	18	14(2	14(2	NUM
brj-24822	318	19	)	)	PUNCT
brj-24822	318	20	,	,	PUNCT
brj-24822	318	21	118	118	NUM
brj-24822	318	22	-	-	SYM
brj-24822	318	23	128	128	NUM
brj-24822	318	24	.	.	PUNCT
brj-24822	319	1	jayakumar	jayakumar	NOUN
brj-24822	319	2	,	,	PUNCT
brj-24822	319	3	m.	m.	NOUN
brj-24822	319	4	,	,	PUNCT
brj-24822	319	5	thiyagar	thiyagar	NOUN
brj-24822	319	6	,	,	PUNCT
brj-24822	319	7	t.	t.	NOUN
brj-24822	319	8	,	,	PUNCT
brj-24822	319	9	abo	abo	NOUN
brj-24822	319	10	,	,	PUNCT
brj-24822	319	11	l.	l.	PROPN
brj-24822	319	12	d.	d.	PROPN
brj-24822	319	13	,	,	PUNCT
brj-24822	319	14	arumugasamy	arumugasamy	PROPN
brj-24822	319	15	,	,	PUNCT
brj-24822	319	16	s.	s.	PROPN
brj-24822	319	17	k.	k.	PROPN
brj-24822	319	18	,	,	PUNCT
brj-24822	319	19	and	and	CCONJ
brj-24822	319	20	jabesa	jabesa	PROPN
brj-24822	319	21	,	,	PUNCT
brj-24822	319	22	a.	a.	NOUN
brj-24822	319	23	(	(	PUNCT
brj-24822	319	24	2025	2025	NUM
brj-24822	319	25	)	)	PUNCT
brj-24822	319	26	.	.	PUNCT
brj-24822	320	1	"	"	PUNCT
brj-24822	320	2	paddy	paddy	NOUN
brj-24822	320	3	straw	straw	NOUN
brj-24822	320	4	as	as	ADP
brj-24822	320	5	a	a	DET
brj-24822	320	6	biomass	biomass	NOUN
brj-24822	320	7	feedstock	feedstock	NOUN
brj-24822	320	8	for	for	ADP
brj-24822	320	9	the	the	DET
brj-24822	320	10	manufacturing	manufacturing	NOUN
brj-24822	320	11	of	of	ADP
brj-24822	320	12	bioethanol	bioethanol	NOUN
brj-24822	320	13	using	use	VERB
brj-24822	320	14	acid	acid	NOUN
brj-24822	320	15	hydrolysis	hydrolysis	NOUN
brj-24822	320	16	and	and	CCONJ
brj-24822	320	17	parametric	parametric	ADJ
brj-24822	320	18	optimization	optimization	NOUN
brj-24822	320	19	through	through	ADP
brj-24822	320	20	response	response	NOUN
brj-24822	320	21	surface	surface	NOUN
brj-24822	320	22	methodology	methodology	NOUN
brj-24822	320	23	and	and	CCONJ
brj-24822	320	24	an	an	DET
brj-24822	320	25	artificial	artificial	ADJ
brj-24822	320	26	neural	neural	ADJ
brj-24822	320	27	network	network	NOUN
brj-24822	320	28	,	,	PUNCT
brj-24822	320	29	"	"	PUNCT
brj-24822	320	30	biomass	biomass	NOUN
brj-24822	320	31	convers	conver	NOUN
brj-24822	320	32	.	.	PUNCT
brj-24822	321	1	biorefin	biorefin	NOUN
brj-24822	321	2	.	.	PUNCT
brj-24822	322	1	15(3	15(3	NUM
brj-24822	322	2	)	)	PUNCT
brj-24822	322	3	,	,	PUNCT
brj-24822	322	4	3803	3803	NUM
brj-24822	322	5	-	-	SYM
brj-24822	322	6	3825	3825	NUM
brj-24822	322	7	.	.	PUNCT
brj-24822	323	1	doi	doi	NOUN
brj-24822	323	2	:	:	PUNCT
brj-24822	323	3	10.1007	10.1007	NUM
brj-24822	323	4	/	/	SYM
brj-24822	323	5	s13399	s13399	NOUN
brj-24822	323	6	-	-	PUNCT
brj-24822	323	7	024	024	NUM
brj-24822	323	8	-	-	PUNCT
brj-24822	323	9	05371	05371	NUM
brj-24822	323	10	-	-	SYM
brj-24822	323	11	1	1	NUM
brj-24822	323	12	kawaguchi	kawaguchi	NOUN
brj-24822	323	13	,	,	PUNCT
brj-24822	323	14	h.	h.	PROPN
brj-24822	323	15	,	,	PUNCT
brj-24822	323	16	hasunuma	hasunuma	PROPN
brj-24822	323	17	,	,	PUNCT
brj-24822	323	18	t.	t.	PROPN
brj-24822	323	19	,	,	PUNCT
brj-24822	323	20	ogino	ogino	PROPN
brj-24822	323	21	,	,	PUNCT
brj-24822	323	22	c.	c.	PROPN
brj-24822	323	23	,	,	PUNCT
brj-24822	323	24	and	and	CCONJ
brj-24822	323	25	kondo	kondo	PROPN
brj-24822	323	26	,	,	PUNCT
brj-24822	323	27	a.	a.	PROPN
brj-24822	323	28	(	(	PUNCT
brj-24822	323	29	2016	2016	NUM
brj-24822	323	30	)	)	PUNCT
brj-24822	323	31	.	.	PUNCT
brj-24822	324	1	"	"	PUNCT
brj-24822	324	2	bioprocessing	bioprocesse	VERB
brj-24822	324	3	of	of	ADP
brj-24822	324	4	bio	bio	NOUN
brj-24822	324	5	-	-	PUNCT
brj-24822	324	6	based	base	VERB
brj-24822	324	7	chemicals	chemical	NOUN
brj-24822	324	8	produced	produce	VERB
brj-24822	324	9	from	from	ADP
brj-24822	324	10	lignocellulosic	lignocellulosic	ADJ
brj-24822	324	11	feedstocks	feedstock	NOUN
brj-24822	324	12	,	,	PUNCT
brj-24822	324	13	"	"	PUNCT
brj-24822	324	14	curr	curr	X
brj-24822	324	15	.	.	PUNCT
brj-24822	324	16	opin	opin	NOUN
brj-24822	324	17	.	.	PUNCT
brj-24822	325	1	biotechnol	biotechnol	NOUN
brj-24822	325	2	.	.	PUNCT
brj-24822	326	1	42	42	NUM
brj-24822	326	2	,	,	PUNCT
brj-24822	326	3	30	30	NUM
brj-24822	326	4	-	-	SYM
brj-24822	326	5	39	39	NUM
brj-24822	326	6	.	.	PUNCT
brj-24822	327	1	doi	doi	NOUN
brj-24822	327	2	:	:	PUNCT
brj-24822	327	3	10.1016	10.1016	NUM
brj-24822	327	4	/	/	SYM
brj-24822	327	5	j.copbio.2016.02.031	j.copbio.2016.02.031	PROPN
brj-24822	327	6	khangwal	khangwal	PROPN
brj-24822	327	7	,	,	PUNCT
brj-24822	327	8	i.	i.	NOUN
brj-24822	327	9	,	,	PUNCT
brj-24822	327	10	chhabra	chhabra	PROPN
brj-24822	327	11	,	,	PUNCT
brj-24822	327	12	d.	d.	PROPN
brj-24822	327	13	,	,	PUNCT
brj-24822	327	14	and	and	CCONJ
brj-24822	327	15	shukla	shukla	NOUN
brj-24822	327	16	,	,	PUNCT
brj-24822	327	17	p.	p.	NOUN
brj-24822	327	18	(	(	PUNCT
brj-24822	327	19	2021	2021	NUM
brj-24822	327	20	)	)	PUNCT
brj-24822	327	21	.	.	PUNCT
brj-24822	328	1	"	"	PUNCT
brj-24822	328	2	multi	multi	ADJ
brj-24822	328	3	-	-	ADJ
brj-24822	328	4	objective	objective	ADJ
brj-24822	328	5	optimization	optimization	NOUN
brj-24822	328	6	through	through	ADP
brj-24822	328	7	machine	machine	NOUN
brj-24822	328	8	learning	learning	NOUN
brj-24822	328	9	modeling	modeling	NOUN
brj-24822	328	10	for	for	ADP
brj-24822	328	11	production	production	NOUN
brj-24822	328	12	of	of	ADP
brj-24822	328	13	xylooligosaccharides	xylooligosaccharides	PROPN
brj-24822	328	14	from	from	ADP
brj-24822	328	15	alkali	alkali	ADJ
brj-24822	328	16	-	-	PUNCT
brj-24822	328	17	pretreated	pretreate	VERB
brj-24822	328	18	corn	corn	NOUN
brj-24822	328	19	-	-	PUNCT
brj-24822	328	20	cob	cob	NOUN
brj-24822	328	21	xylan	xylan	NOUN
brj-24822	328	22	via	via	ADP
brj-24822	328	23	enzymatic	enzymatic	ADJ
brj-24822	328	24	hydrolysis	hydrolysis	NOUN
brj-24822	328	25	,	,	PUNCT
brj-24822	328	26	"	"	PUNCT
brj-24822	328	27	indian	indian	PROPN
brj-24822	328	28	j.	j.	PROPN
brj-24822	328	29	microbiol	microbiol	PROPN
brj-24822	328	30	.	.	PUNCT
brj-24822	329	1	61(4	61(4	NUM
brj-24822	329	2	)	)	PUNCT
brj-24822	329	3	,	,	PUNCT
brj-24822	329	4	458	458	NUM
brj-24822	329	5	-	-	SYM
brj-24822	329	6	466	466	NUM
brj-24822	329	7	.	.	PUNCT
brj-24822	329	8	doi	doi	NOUN
brj-24822	329	9	:	:	PUNCT
brj-24822	329	10	10.1007	10.1007	NUM
brj-24822	329	11	/	/	SYM
brj-24822	329	12	s12088	s12088	NUM
brj-24822	329	13	-	-	PUNCT
brj-24822	329	14	021	021	NUM
brj-24822	329	15	-	-	PUNCT
brj-24822	329	16	00970	00970	NUM
brj-24822	329	17	-	-	SYM
brj-24822	329	18	2	2	NUM
brj-24822	329	19	kim	kim	PROPN
brj-24822	329	20	,	,	PUNCT
brj-24822	329	21	k.	k.	PROPN
brj-24822	329	22	h.	h.	PROPN
brj-24822	329	23	,	,	PUNCT
brj-24822	329	24	tucker	tucker	PROPN
brj-24822	329	25	,	,	PUNCT
brj-24822	329	26	m.	m.	NOUN
brj-24822	329	27	,	,	PUNCT
brj-24822	329	28	and	and	CCONJ
brj-24822	329	29	nguyen	nguyen	NOUN
brj-24822	329	30	,	,	PUNCT
brj-24822	329	31	q.	q.	PROPN
brj-24822	329	32	(	(	PUNCT
brj-24822	329	33	2005	2005	NUM
brj-24822	329	34	)	)	PUNCT
brj-24822	329	35	.	.	PUNCT
brj-24822	330	1	"	"	PUNCT
brj-24822	330	2	conversion	conversion	NOUN
brj-24822	330	3	of	of	ADP
brj-24822	330	4	bark	bark	NOUN
brj-24822	330	5	-	-	PUNCT
brj-24822	330	6	rich	rich	ADJ
brj-24822	330	7	biomass	biomass	NOUN
brj-24822	330	8	mixture	mixture	NOUN
brj-24822	330	9	into	into	ADP
brj-24822	330	10	fermentable	fermentable	ADJ
brj-24822	330	11	sugar	sugar	NOUN
brj-24822	330	12	by	by	ADP
brj-24822	330	13	two	two	NUM
brj-24822	330	14	-	-	PUNCT
brj-24822	330	15	stage	stage	NOUN
brj-24822	330	16	dilute	dilute	VERB
brj-24822	330	17	acid	acid	NOUN
brj-24822	330	18	-	-	PUNCT
brj-24822	330	19	catalyzed	catalyze	VERB
brj-24822	330	20	hydrolysis	hydrolysis	NOUN
brj-24822	330	21	,	,	PUNCT
brj-24822	330	22	"	"	PUNCT
brj-24822	330	23	bioresource	bioresource	ADP
brj-24822	330	24	technol	technol	NOUN
brj-24822	330	25	.	.	PUNCT
brj-24822	330	26	96(11	96(11	NUM
brj-24822	330	27	)	)	PUNCT
brj-24822	330	28	,	,	PUNCT
brj-24822	330	29	1249	1249	NUM
brj-24822	330	30	-	-	SYM
brj-24822	330	31	1255	1255	NUM
brj-24822	330	32	.	.	PUNCT
brj-24822	331	1	doi	doi	NOUN
brj-24822	331	2	:	:	PUNCT
brj-24822	331	3	10.1016	10.1016	NUM
brj-24822	331	4	/	/	SYM
brj-24822	331	5	j.biortech.2004.10.017	j.biortech.2004.10.017	PROPN
brj-24822	331	6	peer	peer	NOUN
brj-24822	331	7	-	-	PUNCT
brj-24822	331	8	reviewed	review	VERB
brj-24822	331	9	article	article	NOUN
brj-24822	331	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24822	331	11	kim	kim	PROPN
brj-24822	331	12	et	et	PROPN
brj-24822	331	13	al	al	PROPN
brj-24822	331	14	.	.	PROPN
brj-24822	332	1	(	(	PUNCT
brj-24822	332	2	2025	2025	NUM
brj-24822	332	3	)	)	PUNCT
brj-24822	332	4	.	.	PUNCT
brj-24822	333	1	“	"	PUNCT
brj-24822	333	2	steam	steam	NOUN
brj-24822	333	3	&	&	CCONJ
brj-24822	333	4	naoh	naoh	PROPN
brj-24822	333	5	pretreatments	pretreatment	NOUN
brj-24822	333	6	,	,	PUNCT
brj-24822	333	7	”	"	PUNCT
brj-24822	333	8	bioresources	bioresource	VERB
brj-24822	333	9	20(4	20(4	NOUN
brj-24822	333	10	)	)	PUNCT
brj-24822	333	11	,	,	PUNCT
brj-24822	333	12	8400	8400	NUM
brj-24822	333	13	-	-	SYM
brj-24822	333	14	8419	8419	NUM
brj-24822	333	15	.	.	PUNCT
brj-24822	334	1	8416	8416	NUM
brj-24822	334	2	kim	kim	PROPN
brj-24822	334	3	,	,	PUNCT
brj-24822	334	4	j.	j.	PROPN
brj-24822	334	5	s.	s.	PROPN
brj-24822	334	6	,	,	PUNCT
brj-24822	334	7	lee	lee	PROPN
brj-24822	334	8	,	,	PUNCT
brj-24822	334	9	y.	y.	PROPN
brj-24822	334	10	y.	y.	PROPN
brj-24822	334	11	,	,	PUNCT
brj-24822	334	12	and	and	CCONJ
brj-24822	334	13	kim	kim	PROPN
brj-24822	334	14	,	,	PUNCT
brj-24822	334	15	t.	t.	PROPN
brj-24822	334	16	h.	h.	PROPN
brj-24822	334	17	(	(	PUNCT
brj-24822	334	18	2016	2016	NUM
brj-24822	334	19	)	)	PUNCT
brj-24822	334	20	.	.	PUNCT
brj-24822	335	1	"	"	PUNCT
brj-24822	335	2	a	a	DET
brj-24822	335	3	review	review	NOUN
brj-24822	335	4	on	on	ADP
brj-24822	335	5	alkaline	alkaline	ADJ
brj-24822	335	6	pretreatment	pretreatment	NOUN
brj-24822	335	7	technology	technology	NOUN
brj-24822	335	8	for	for	ADP
brj-24822	335	9	bioconversion	bioconversion	NOUN
brj-24822	335	10	of	of	ADP
brj-24822	335	11	lignocellulosic	lignocellulosic	ADJ
brj-24822	335	12	biomass	biomass	NOUN
brj-24822	335	13	,	,	PUNCT
brj-24822	335	14	"	"	PUNCT
brj-24822	335	15	bioresour	bioresour	PROPN
brj-24822	335	16	.	.	PUNCT
brj-24822	335	17	technol	technol	PROPN
brj-24822	335	18	.	.	PROPN
brj-24822	335	19	199	199	NUM
brj-24822	335	20	,	,	PUNCT
brj-24822	335	21	42–48	42–48	PROPN
brj-24822	335	22	.	.	PUNCT
brj-24822	336	1	doi	doi	PROPN
brj-24822	336	2	:	:	PUNCT
brj-24822	336	3	10.1016	10.1016	NUM
brj-24822	336	4	/	/	SYM
brj-24822	336	5	j.biortech.2015.08.08	j.biortech.2015.08.08	PROPN
brj-24822	336	6	kumar	kumar	PROPN
brj-24822	336	7	,	,	PUNCT
brj-24822	336	8	b.	b.	PROPN
brj-24822	336	9	,	,	PUNCT
brj-24822	336	10	bhardwaj	bhardwaj	PROPN
brj-24822	336	11	,	,	PUNCT
brj-24822	336	12	n.	n.	PROPN
brj-24822	336	13	,	,	PUNCT
brj-24822	336	14	agrawal	agrawal	PROPN
brj-24822	336	15	,	,	PUNCT
brj-24822	336	16	k.	k.	PROPN
brj-24822	336	17	,	,	PUNCT
brj-24822	336	18	chaturvedi	chaturvedi	PROPN
brj-24822	336	19	,	,	PUNCT
brj-24822	336	20	v.	v.	ADV
brj-24822	336	21	,	,	PUNCT
brj-24822	336	22	and	and	CCONJ
brj-24822	336	23	verma	verma	PROPN
brj-24822	336	24	,	,	PUNCT
brj-24822	336	25	p.	p.	NOUN
brj-24822	336	26	(	(	PUNCT
brj-24822	336	27	2020	2020	NUM
brj-24822	336	28	)	)	PUNCT
brj-24822	336	29	.	.	PUNCT
brj-24822	337	1	"	"	PUNCT
brj-24822	337	2	current	current	ADJ
brj-24822	337	3	perspective	perspective	NOUN
brj-24822	337	4	on	on	ADP
brj-24822	337	5	pretreatment	pretreatment	NOUN
brj-24822	337	6	technologies	technology	NOUN
brj-24822	337	7	using	use	VERB
brj-24822	337	8	lignocellulosic	lignocellulosic	ADJ
brj-24822	337	9	biomass	biomass	NOUN
brj-24822	337	10	:	:	PUNCT
brj-24822	337	11	an	an	DET
brj-24822	337	12	emerging	emerge	VERB
brj-24822	337	13	biorefinery	biorefinery	NOUN
brj-24822	337	14	concept	concept	NOUN
brj-24822	337	15	,	,	PUNCT
brj-24822	337	16	"	"	PUNCT
brj-24822	337	17	fuel	fuel	NOUN
brj-24822	337	18	process	process	NOUN
brj-24822	337	19	.	.	PUNCT
brj-24822	338	1	technol	technol	NOUN
brj-24822	338	2	.	.	PROPN
brj-24822	338	3	199	199	NUM
brj-24822	338	4	,	,	PUNCT
brj-24822	338	5	article	article	NOUN
brj-24822	338	6	106244	106244	NUM
brj-24822	338	7	.	.	PUNCT
brj-24822	339	1	doi	doi	NOUN
brj-24822	339	2	:	:	PUNCT
brj-24822	339	3	10.1016	10.1016	NUM
brj-24822	339	4	/	/	SYM
brj-24822	339	5	j.fuproc.2019.106244	j.fuproc.2019.106244	PROPN
brj-24822	339	6	lou	lou	PROPN
brj-24822	339	7	,	,	PUNCT
brj-24822	339	8	h.	h.	PROPN
brj-24822	339	9	,	,	PUNCT
brj-24822	339	10	hu	hu	PROPN
brj-24822	339	11	,	,	PUNCT
brj-24822	339	12	q.	q.	PROPN
brj-24822	339	13	,	,	PUNCT
brj-24822	339	14	qiu	qiu	PROPN
brj-24822	339	15	,	,	PUNCT
brj-24822	339	16	x.	x.	PROPN
brj-24822	339	17	,	,	PUNCT
brj-24822	339	18	li	li	PROPN
brj-24822	339	19	,	,	PUNCT
brj-24822	339	20	x.	x.	NOUN
brj-24822	339	21	,	,	PUNCT
brj-24822	339	22	and	and	CCONJ
brj-24822	339	23	lin	lin	PROPN
brj-24822	339	24	,	,	PUNCT
brj-24822	339	25	x.	x.	NOUN
brj-24822	339	26	(	(	PUNCT
brj-24822	339	27	2016	2016	NUM
brj-24822	339	28	)	)	PUNCT
brj-24822	339	29	.	.	PUNCT
brj-24822	340	1	"	"	PUNCT
brj-24822	340	2	pretreatment	pretreatment	NOUN
brj-24822	340	3	of	of	ADP
brj-24822	340	4	miscanthus	miscanthus	NOUN
brj-24822	340	5	by	by	ADP
brj-24822	340	6	naoh	naoh	NOUN
brj-24822	340	7	/	/	SYM
brj-24822	340	8	urea	urea	NOUN
brj-24822	340	9	solution	solution	NOUN
brj-24822	340	10	at	at	ADP
brj-24822	340	11	room	room	NOUN
brj-24822	340	12	temperature	temperature	NOUN
brj-24822	340	13	for	for	ADP
brj-24822	340	14	enhancing	enhance	VERB
brj-24822	340	15	enzymatic	enzymatic	ADJ
brj-24822	340	16	hydrolysis	hydrolysis	NOUN
brj-24822	340	17	,	,	PUNCT
brj-24822	340	18	"	"	PUNCT
brj-24822	340	19	bioenergy	bioenergy	NOUN
brj-24822	340	20	res	re	NOUN
brj-24822	340	21	.	.	PUNCT
brj-24822	340	22	9(1	9(1	NUM
brj-24822	340	23	)	)	PUNCT
brj-24822	340	24	,	,	PUNCT
brj-24822	340	25	335	335	NUM
brj-24822	340	26	-	-	SYM
brj-24822	340	27	343	343	NUM
brj-24822	340	28	.	.	PUNCT
brj-24822	341	1	doi	doi	NOUN
brj-24822	341	2	:	:	PUNCT
brj-24822	341	3	10.1007	10.1007	NUM
brj-24822	341	4	/	/	SYM
brj-24822	341	5	s12155	s12155	NOUN
brj-24822	341	6	-	-	PUNCT
brj-24822	341	7	015	015	NUM
brj-24822	341	8	-	-	PUNCT
brj-24822	341	9	9695	9695	NUM
brj-24822	341	10	-	-	PUNCT
brj-24822	341	11	x	x	SYM
brj-24822	341	12	nges	nge	NOUN
brj-24822	341	13	,	,	PUNCT
brj-24822	341	14	i.	i.	PROPN
brj-24822	341	15	a.	a.	PROPN
brj-24822	341	16	,	,	PUNCT
brj-24822	341	17	li	li	PROPN
brj-24822	341	18	,	,	PUNCT
brj-24822	341	19	c.	c.	PROPN
brj-24822	341	20	,	,	PUNCT
brj-24822	341	21	wang	wang	PROPN
brj-24822	341	22	,	,	PUNCT
brj-24822	341	23	b.	b.	PROPN
brj-24822	341	24	,	,	PUNCT
brj-24822	341	25	xiao	xiao	PROPN
brj-24822	341	26	,	,	PUNCT
brj-24822	341	27	l.	l.	PROPN
brj-24822	341	28	,	,	PUNCT
brj-24822	341	29	yi	yi	PROPN
brj-24822	341	30	,	,	PUNCT
brj-24822	341	31	z.	z.	PROPN
brj-24822	341	32	,	,	PUNCT
brj-24822	341	33	and	and	CCONJ
brj-24822	341	34	liu	liu	PROPN
brj-24822	341	35	,	,	PUNCT
brj-24822	341	36	j.	j.	PROPN
brj-24822	341	37	(	(	PUNCT
brj-24822	341	38	2016	2016	NUM
brj-24822	341	39	)	)	PUNCT
brj-24822	341	40	.	.	PUNCT
brj-24822	342	1	"	"	PUNCT
brj-24822	342	2	physio	physio	ADJ
brj-24822	342	3	-	-	PUNCT
brj-24822	342	4	chemical	chemical	NOUN
brj-24822	342	5	pretreatments	pretreatment	NOUN
brj-24822	342	6	for	for	ADP
brj-24822	342	7	improved	improved	ADJ
brj-24822	342	8	methane	methane	NOUN
brj-24822	342	9	potential	potential	NOUN
brj-24822	342	10	of	of	ADP
brj-24822	342	11	miscanthus	miscanthus	PROPN
brj-24822	342	12	lutarioriparius	lutarioriparius	NOUN
brj-24822	342	13	,	,	PUNCT
brj-24822	342	14	"	"	PUNCT
brj-24822	342	15	fuel	fuel	NOUN
brj-24822	342	16	166	166	NUM
brj-24822	342	17	,	,	PUNCT
brj-24822	342	18	29	29	NUM
brj-24822	342	19	-	-	SYM
brj-24822	342	20	35	35	NUM
brj-24822	342	21	.	.	PUNCT
brj-24822	343	1	doi	doi	NOUN
brj-24822	343	2	:	:	PUNCT
brj-24822	343	3	10.1016	10.1016	NUM
brj-24822	343	4	/	/	SYM
brj-24822	343	5	j.fuel.2015.10.108	j.fuel.2015.10.108	PROPN
brj-24822	343	6	persson	persson	PROPN
brj-24822	343	7	,	,	PUNCT
brj-24822	343	8	p.	p.	PROPN
brj-24822	343	9	,	,	PUNCT
brj-24822	343	10	andersson	andersson	PROPN
brj-24822	343	11	,	,	PUNCT
brj-24822	343	12	j.	j.	PROPN
brj-24822	343	13	,	,	PUNCT
brj-24822	343	14	gorton	gorton	PROPN
brj-24822	343	15	,	,	PUNCT
brj-24822	343	16	l.	l.	PROPN
brj-24822	343	17	,	,	PUNCT
brj-24822	343	18	larsson	larsson	PROPN
brj-24822	343	19	,	,	PUNCT
brj-24822	343	20	s.	s.	PROPN
brj-24822	343	21	,	,	PUNCT
brj-24822	343	22	nilvebrant	nilvebrant	PROPN
brj-24822	343	23	,	,	PUNCT
brj-24822	343	24	n.	n.	NOUN
brj-24822	343	25	,	,	PUNCT
brj-24822	343	26	and	and	CCONJ
brj-24822	343	27	jönsson	jönsson	PROPN
brj-24822	343	28	,	,	PUNCT
brj-24822	343	29	l.	l.	PROPN
brj-24822	343	30	j.	j.	PROPN
brj-24822	343	31	(	(	PUNCT
brj-24822	343	32	2002	2002	NUM
brj-24822	343	33	)	)	PUNCT
brj-24822	343	34	.	.	PUNCT
brj-24822	344	1	"	"	PUNCT
brj-24822	344	2	effect	effect	NOUN
brj-24822	344	3	of	of	ADP
brj-24822	344	4	different	different	ADJ
brj-24822	344	5	forms	form	NOUN
brj-24822	344	6	of	of	ADP
brj-24822	344	7	alkali	alkali	ADJ
brj-24822	344	8	treatment	treatment	NOUN
brj-24822	344	9	on	on	ADP
brj-24822	344	10	specific	specific	ADJ
brj-24822	344	11	fermentation	fermentation	NOUN
brj-24822	344	12	inhibitors	inhibitor	NOUN
brj-24822	344	13	and	and	CCONJ
brj-24822	344	14	fermentability	fermentability	NOUN
brj-24822	344	15	of	of	ADP
brj-24822	344	16	lignocellulose	lignocellulose	ADJ
brj-24822	344	17	hydrolysates	hydrolysate	NOUN
brj-24822	344	18	,	,	PUNCT
brj-24822	344	19	"	"	PUNCT
brj-24822	344	20	j.	j.	PROPN
brj-24822	344	21	agric	agric	PROPN
brj-24822	344	22	.	.	PUNCT
brj-24822	344	23	food	food	NOUN
brj-24822	344	24	chem	chem	NOUN
brj-24822	344	25	.	.	PUNCT
brj-24822	345	1	50(19	50(19	NUM
brj-24822	345	2	)	)	PUNCT
brj-24822	345	3	,	,	PUNCT
brj-24822	345	4	5318	5318	NUM
brj-24822	345	5	-	-	SYM
brj-24822	345	6	5325	5325	NUM
brj-24822	345	7	.	.	PUNCT
brj-24822	346	1	doi	doi	NOUN
brj-24822	346	2	:	:	PUNCT
brj-24822	346	3	10.1021	10.1021	NUM
brj-24822	346	4	/	/	SYM
brj-24822	346	5	jf025565o	jf025565o	PROPN
brj-24822	346	6	rodríguez	rodríguez	PROPN
brj-24822	346	7	,	,	PUNCT
brj-24822	346	8	f.	f.	PROPN
brj-24822	346	9	,	,	PUNCT
brj-24822	346	10	sanchez	sanchez	PROPN
brj-24822	346	11	,	,	PUNCT
brj-24822	346	12	a.	a.	PROPN
brj-24822	346	13	,	,	PUNCT
brj-24822	346	14	and	and	CCONJ
brj-24822	346	15	parra	parra	PROPN
brj-24822	346	16	,	,	PUNCT
brj-24822	346	17	c.	c.	PROPN
brj-24822	346	18	(	(	PUNCT
brj-24822	346	19	2017	2017	NUM
brj-24822	346	20	)	)	PUNCT
brj-24822	346	21	.	.	PUNCT
brj-24822	347	1	"	"	PUNCT
brj-24822	347	2	role	role	NOUN
brj-24822	347	3	of	of	ADP
brj-24822	347	4	steam	steam	NOUN
brj-24822	347	5	explosion	explosion	NOUN
brj-24822	347	6	on	on	ADP
brj-24822	347	7	enzymatic	enzymatic	ADJ
brj-24822	347	8	digestibility	digestibility	NOUN
brj-24822	347	9	,	,	PUNCT
brj-24822	347	10	xylan	xylan	PROPN
brj-24822	347	11	extraction	extraction	NOUN
brj-24822	347	12	,	,	PUNCT
brj-24822	347	13	and	and	CCONJ
brj-24822	347	14	lignin	lignin	NOUN
brj-24822	347	15	release	release	NOUN
brj-24822	347	16	of	of	ADP
brj-24822	347	17	lignocellulosic	lignocellulosic	ADJ
brj-24822	347	18	biomass	biomass	NOUN
brj-24822	347	19	,	,	PUNCT
brj-24822	347	20	"	"	PUNCT
brj-24822	347	21	acs	acs	PROPN
brj-24822	347	22	sustainable	sustainable	ADJ
brj-24822	347	23	chem	chem	NOUN
brj-24822	347	24	.	.	PUNCT
brj-24822	348	1	eng	eng	PROPN
brj-24822	348	2	.	.	PUNCT
brj-24822	348	3	5(6	5(6	NUM
brj-24822	348	4	)	)	PUNCT
brj-24822	348	5	,	,	PUNCT
brj-24822	348	6	5234–5240	5234–5240	NUM
brj-24822	348	7	.	.	PUNCT
brj-24822	349	1	doi	doi	NOUN
brj-24822	349	2	:	:	PUNCT
brj-24822	349	3	10.1021	10.1021	NUM
brj-24822	349	4	/	/	SYM
brj-24822	349	5	acssuschemeng.7b00580	acssuschemeng.7b00580	NOUN
brj-24822	349	6	saleh	saleh	NOUN
brj-24822	349	7	,	,	PUNCT
brj-24822	349	8	h.	h.	PROPN
brj-24822	349	9	,	,	PUNCT
brj-24822	349	10	hussien	hussien	PROPN
brj-24822	349	11	,	,	PUNCT
brj-24822	349	12	a.	a.	NOUN
brj-24822	349	13	m.	m.	NOUN
brj-24822	349	14	,	,	PUNCT
brj-24822	349	15	hassan	hassan	PROPN
brj-24822	349	16	,	,	PUNCT
brj-24822	349	17	m.	m.	PROPN
brj-24822	349	18	r.	r.	PROPN
brj-24822	349	19	,	,	PUNCT
brj-24822	349	20	and	and	CCONJ
brj-24822	349	21	ali	ali	PROPN
brj-24822	349	22	,	,	PUNCT
brj-24822	349	23	a.	a.	NOUN
brj-24822	349	24	a.	a.	NOUN
brj-24822	349	25	(	(	PUNCT
brj-24822	349	26	2022	2022	NUM
brj-24822	349	27	)	)	PUNCT
brj-24822	349	28	.	.	PUNCT
brj-24822	350	1	“	"	PUNCT
brj-24822	350	2	predicting	predict	VERB
brj-24822	350	3	stroke	stroke	NOUN
brj-24822	350	4	disease	disease	NOUN
brj-24822	350	5	based	base	VERB
brj-24822	350	6	on	on	ADP
brj-24822	350	7	recurrent	recurrent	ADJ
brj-24822	350	8	neural	neural	ADJ
brj-24822	350	9	network	network	NOUN
brj-24822	350	10	and	and	CCONJ
brj-24822	350	11	optimization	optimization	NOUN
brj-24822	350	12	techniques	technique	NOUN
brj-24822	350	13	,	,	PUNCT
brj-24822	350	14	”	"	PUNCT
brj-24822	350	15	2022	2022	NUM
brj-24822	350	16	international	international	ADJ
brj-24822	350	17	conference	conference	NOUN
brj-24822	350	18	on	on	ADP
brj-24822	350	19	engineering	engineering	PROPN
brj-24822	350	20	&	&	CCONJ
brj-24822	350	21	mis	mis	PROPN
brj-24822	350	22	(	(	PUNCT
brj-24822	350	23	icemis	icemis	PROPN
brj-24822	350	24	)	)	PUNCT
brj-24822	350	25	,	,	PUNCT
brj-24822	350	26	1	1	NUM
brj-24822	350	27	-	-	SYM
brj-24822	350	28	5	5	NUM
brj-24822	350	29	.	.	PUNCT
brj-24822	350	30	doi	doi	NOUN
brj-24822	350	31	:	:	PUNCT
brj-24822	350	32	10.1109	10.1109	NUM
brj-24822	350	33	/	/	SYM
brj-24822	350	34	icemis56295.2022.9914334	icemis56295.2022.9914334	PROPN
brj-24822	350	35	vibha	vibha	NOUN
brj-24822	350	36	,	,	PUNCT
brj-24822	350	37	r.	r.	PROPN
brj-24822	350	38	,	,	PUNCT
brj-24822	350	39	sandesh	sandesh	NOUN
brj-24822	350	40	,	,	PUNCT
brj-24822	350	41	k.	k.	PROPN
brj-24822	350	42	,	,	PUNCT
brj-24822	350	43	ujwal	ujwal	PROPN
brj-24822	350	44	,	,	PUNCT
brj-24822	350	45	p.	p.	NOUN
brj-24822	350	46	,	,	PUNCT
brj-24822	350	47	and	and	CCONJ
brj-24822	350	48	shet	shet	PROPN
brj-24822	350	49	,	,	PUNCT
brj-24822	350	50	v.	v.	PROPN
brj-24822	350	51	b.	b.	PROPN
brj-24822	350	52	(	(	PUNCT
brj-24822	350	53	2024	2024	NUM
brj-24822	350	54	)	)	PUNCT
brj-24822	350	55	.	.	PUNCT
brj-24822	351	1	"	"	PUNCT
brj-24822	351	2	rsmand	rsmand	X
brj-24822	351	3	ann	ann	PROPN
brj-24822	351	4	-	-	PUNCT
brj-24822	351	5	based	base	VERB
brj-24822	351	6	modeling	modeling	NOUN
brj-24822	351	7	for	for	ADP
brj-24822	351	8	a	a	DET
brj-24822	351	9	novel	novel	ADJ
brj-24822	351	10	hydrolysis	hydrolysis	NOUN
brj-24822	351	11	process	process	NOUN
brj-24822	351	12	of	of	ADP
brj-24822	351	13	lignocellulose	lignocellulose	ADJ
brj-24822	351	14	residues	residue	NOUN
brj-24822	351	15	to	to	PART
brj-24822	351	16	produce	produce	VERB
brj-24822	351	17	cost	cost	NOUN
brj-24822	351	18	-	-	PUNCT
brj-24822	351	19	effective	effective	ADJ
brj-24822	351	20	fermentable	fermentable	ADJ
brj-24822	351	21	sugars	sugar	NOUN
brj-24822	351	22	,	,	PUNCT
brj-24822	351	23	"	"	PUNCT
brj-24822	351	24	biomass	biomass	NOUN
brj-24822	351	25	convers	conver	NOUN
brj-24822	351	26	.	.	PUNCT
brj-24822	352	1	biorefin	biorefin	NOUN
brj-24822	352	2	.	.	PUNCT
brj-24822	353	1	14(19	14(19	NUM
brj-24822	353	2	)	)	PUNCT
brj-24822	353	3	,	,	PUNCT
brj-24822	353	4	2418124196	2418124196	NUM
brj-24822	353	5	.	.	PUNCT
brj-24822	354	1	doi	doi	NOUN
brj-24822	354	2	:	:	PUNCT
brj-24822	354	3	10.1007	10.1007	NUM
brj-24822	354	4	/	/	SYM
brj-24822	354	5	s13399	s13399	NOUN
brj-24822	354	6	-	-	PUNCT
brj-24822	354	7	023	023	NUM
brj-24822	354	8	-	-	PUNCT
brj-24822	354	9	04484	04484	NUM
brj-24822	354	10	-	-	SYM
brj-24822	354	11	3	3	NUM
brj-24822	354	12	vinitha	vinitha	NOUN
brj-24822	354	13	,	,	PUNCT
brj-24822	354	14	n.	n.	NOUN
brj-24822	354	15	,	,	PUNCT
brj-24822	354	16	vasudevan	vasudevan	PROPN
brj-24822	354	17	,	,	PUNCT
brj-24822	354	18	j.	j.	PROPN
brj-24822	354	19	,	,	PUNCT
brj-24822	354	20	and	and	CCONJ
brj-24822	354	21	gopinath	gopinath	NOUN
brj-24822	354	22	,	,	PUNCT
brj-24822	355	1	k.	k.	PROPN
brj-24822	355	2	p.	p.	PROPN
brj-24822	355	3	(	(	PUNCT
brj-24822	355	4	2023	2023	NUM
brj-24822	355	5	)	)	PUNCT
brj-24822	355	6	.	.	PUNCT
brj-24822	356	1	"	"	PUNCT
brj-24822	356	2	bioethanol	bioethanol	NOUN
brj-24822	356	3	production	production	NOUN
brj-24822	356	4	optimization	optimization	NOUN
brj-24822	356	5	through	through	ADP
brj-24822	356	6	machine	machine	NOUN
brj-24822	356	7	learning	learn	VERB
brj-24822	356	8	algorithm	algorithm	NOUN
brj-24822	356	9	approach	approach	NOUN
brj-24822	356	10	:	:	PUNCT
brj-24822	356	11	biomass	biomass	NOUN
brj-24822	356	12	characteristics	characteristic	NOUN
brj-24822	356	13	,	,	PUNCT
brj-24822	356	14	saccharification	saccharification	NOUN
brj-24822	356	15	,	,	PUNCT
brj-24822	356	16	and	and	CCONJ
brj-24822	356	17	fermentation	fermentation	NOUN
brj-24822	356	18	conditions	condition	NOUN
brj-24822	356	19	for	for	ADP
brj-24822	356	20	enzymatic	enzymatic	ADJ
brj-24822	356	21	hydrolysis	hydrolysis	NOUN
brj-24822	356	22	,	,	PUNCT
brj-24822	356	23	"	"	PUNCT
brj-24822	356	24	biomass	biomass	NOUN
brj-24822	356	25	convers	conver	NOUN
brj-24822	356	26	.	.	PUNCT
brj-24822	357	1	biorefin	biorefin	NOUN
brj-24822	357	2	.	.	PUNCT
brj-24822	358	1	13(8	13(8	NUM
brj-24822	358	2	)	)	PUNCT
brj-24822	358	3	,	,	PUNCT
brj-24822	358	4	7287	7287	NUM
brj-24822	358	5	-	-	SYM
brj-24822	358	6	7299	7299	NUM
brj-24822	358	7	.	.	PUNCT
brj-24822	359	1	doi	doi	NOUN
brj-24822	359	2	:	:	PUNCT
brj-24822	359	3	10.1007	10.1007	NUM
brj-24822	359	4	/	/	SYM
brj-24822	359	5	s13399022	s13399022	NOUN
brj-24822	359	6	-	-	PUNCT
brj-24822	359	7	03163	03163	NUM
brj-24822	359	8	-	-	PUNCT
brj-24822	359	9	z	z	NOUN
brj-24822	359	10	vinitha	vinitha	NOUN
brj-24822	359	11	,	,	PUNCT
brj-24822	359	12	n.	n.	NOUN
brj-24822	359	13	,	,	PUNCT
brj-24822	359	14	vasudevan	vasudevan	PROPN
brj-24822	359	15	,	,	PUNCT
brj-24822	359	16	j.	j.	PROPN
brj-24822	359	17	,	,	PUNCT
brj-24822	359	18	gopinath	gopinath	PROPN
brj-24822	359	19	,	,	PUNCT
brj-24822	359	20	k.	k.	PROPN
brj-24822	359	21	p.	p.	PROPN
brj-24822	359	22	,	,	PUNCT
brj-24822	359	23	arun	arun	PROPN
brj-24822	359	24	,	,	PUNCT
brj-24822	359	25	j.	j.	PROPN
brj-24822	359	26	,	,	PUNCT
brj-24822	359	27	madhu	madhu	PROPN
brj-24822	359	28	,	,	PUNCT
brj-24822	359	29	s.	s.	PROPN
brj-24822	359	30	,	,	PUNCT
brj-24822	359	31	and	and	CCONJ
brj-24822	359	32	naveen	naveen	PROPN
brj-24822	359	33	,	,	PUNCT
brj-24822	359	34	s.	s.	PROPN
brj-24822	359	35	(	(	PUNCT
brj-24822	359	36	2024	2024	NUM
brj-24822	359	37	)	)	PUNCT
brj-24822	359	38	.	.	PUNCT
brj-24822	360	1	"	"	PUNCT
brj-24822	360	2	enhancing	enhance	VERB
brj-24822	360	3	the	the	DET
brj-24822	360	4	dilute	dilute	NOUN
brj-24822	360	5	acid	acid	NOUN
brj-24822	360	6	hydrolysis	hydrolysis	NOUN
brj-24822	360	7	process	process	NOUN
brj-24822	360	8	using	use	VERB
brj-24822	360	9	a	a	DET
brj-24822	360	10	machine	machine	NOUN
brj-24822	360	11	learning	learn	VERB
brj-24822	360	12	approach	approach	NOUN
brj-24822	360	13	:	:	PUNCT
brj-24822	360	14	investigation	investigation	NOUN
brj-24822	360	15	of	of	ADP
brj-24822	360	16	different	different	ADJ
brj-24822	360	17	biomass	biomass	NOUN
brj-24822	360	18	feedstocks	feedstock	NOUN
brj-24822	360	19	influences	influence	VERB
brj-24822	360	20	glucose	glucose	NOUN
brj-24822	360	21	and	and	CCONJ
brj-24822	360	22	ethanol	ethanol	NOUN
brj-24822	360	23	yields	yield	NOUN
brj-24822	360	24	,	,	PUNCT
brj-24822	360	25	"	"	PUNCT
brj-24822	360	26	biomass	biomass	NOUN
brj-24822	360	27	convers	conver	NOUN
brj-24822	360	28	.	.	PUNCT
brj-24822	361	1	biorefin	biorefin	NOUN
brj-24822	361	2	.	.	PUNCT
brj-24822	362	1	15	15	NUM
brj-24822	362	2	,	,	PUNCT
brj-24822	362	3	9159	9159	NUM
brj-24822	362	4	-	-	SYM
brj-24822	362	5	9171	9171	NUM
brj-24822	362	6	.	.	PUNCT
brj-24822	363	1	doi	doi	NOUN
brj-24822	363	2	:	:	PUNCT
brj-24822	363	3	10.1007	10.1007	NUM
brj-24822	363	4	/	/	SYM
brj-24822	363	5	s13399024	s13399024	NUM
brj-24822	363	6	-	-	PUNCT
brj-24822	363	7	05714	05714	NUM
brj-24822	363	8	-	-	PUNCT
brj-24822	363	9	y	y	PROPN
brj-24822	363	10	vu	vu	PROPN
brj-24822	363	11	,	,	PUNCT
brj-24822	363	12	h.	h.	PROPN
brj-24822	363	13	p.	p.	PROPN
brj-24822	363	14	,	,	PUNCT
brj-24822	363	15	nguyen	nguyen	PROPN
brj-24822	363	16	,	,	PUNCT
brj-24822	363	17	l.	l.	PROPN
brj-24822	363	18	n.	n.	PROPN
brj-24822	363	19	,	,	PUNCT
brj-24822	363	20	vu	vu	PROPN
brj-24822	363	21	,	,	PUNCT
brj-24822	363	22	m.	m.	NOUN
brj-24822	363	23	t.	t.	PROPN
brj-24822	363	24	,	,	PUNCT
brj-24822	363	25	johir	johir	PROPN
brj-24822	363	26	,	,	PUNCT
brj-24822	363	27	m.	m.	NOUN
brj-24822	363	28	a.	a.	PROPN
brj-24822	363	29	h.	h.	PROPN
brj-24822	363	30	,	,	PUNCT
brj-24822	363	31	mclaughlan	mclaughlan	PROPN
brj-24822	363	32	,	,	PUNCT
brj-24822	363	33	r.	r.	PROPN
brj-24822	363	34	,	,	PUNCT
brj-24822	363	35	and	and	CCONJ
brj-24822	363	36	nghiem	nghiem	NOUN
brj-24822	363	37	,	,	PUNCT
brj-24822	363	38	l.	l.	PROPN
brj-24822	363	39	d.	d.	PROPN
brj-24822	363	40	(	(	PUNCT
brj-24822	363	41	2020	2020	NUM
brj-24822	363	42	)	)	PUNCT
brj-24822	363	43	.	.	PUNCT
brj-24822	364	1	"	"	PUNCT
brj-24822	364	2	a	a	DET
brj-24822	364	3	comprehensive	comprehensive	ADJ
brj-24822	364	4	review	review	NOUN
brj-24822	364	5	on	on	ADP
brj-24822	364	6	the	the	DET
brj-24822	364	7	framework	framework	NOUN
brj-24822	364	8	to	to	PART
brj-24822	364	9	valorise	valorise	VERB
brj-24822	364	10	lignocellulosic	lignocellulosic	ADJ
brj-24822	364	11	biomass	biomass	NOUN
brj-24822	364	12	as	as	ADP
brj-24822	364	13	biorefinery	biorefinery	ADJ
brj-24822	364	14	feedstocks	feedstock	NOUN
brj-24822	364	15	,	,	PUNCT
brj-24822	364	16	"	"	PUNCT
brj-24822	364	17	sci	sci	PROPN
brj-24822	364	18	.	.	PUNCT
brj-24822	364	19	total	total	PROPN
brj-24822	364	20	environ	environ	PROPN
brj-24822	364	21	.	.	PUNCT
brj-24822	365	1	743	743	NUM
brj-24822	365	2	,	,	PUNCT
brj-24822	365	3	article	article	NOUN
brj-24822	365	4	140630	140630	NUM
brj-24822	365	5	.	.	PUNCT
brj-24822	366	1	doi	doi	NOUN
brj-24822	366	2	:	:	PUNCT
brj-24822	366	3	10.1016	10.1016	NUM
brj-24822	366	4	/	/	SYM
brj-24822	366	5	j.scitotenv.2020.140630	j.scitotenv.2020.140630	PROPN
brj-24822	366	6	yu	yu	PROPN
brj-24822	366	7	,	,	PUNCT
brj-24822	366	8	z.	z.	PROPN
brj-24822	366	9	,	,	PUNCT
brj-24822	366	10	zhang	zhang	PROPN
brj-24822	366	11	,	,	PUNCT
brj-24822	366	12	b.	b.	PROPN
brj-24822	366	13	,	,	PUNCT
brj-24822	366	14	yu	yu	PROPN
brj-24822	366	15	,	,	PUNCT
brj-24822	366	16	f.	f.	PROPN
brj-24822	366	17	,	,	PUNCT
brj-24822	366	18	xu	xu	PROPN
brj-24822	366	19	,	,	PUNCT
brj-24822	366	20	g.	g.	PROPN
brj-24822	366	21	,	,	PUNCT
brj-24822	366	22	and	and	CCONJ
brj-24822	366	23	song	song	NOUN
brj-24822	366	24	,	,	PUNCT
brj-24822	366	25	a.	a.	NOUN
brj-24822	366	26	(	(	PUNCT
brj-24822	366	27	2012	2012	NUM
brj-24822	366	28	)	)	PUNCT
brj-24822	366	29	.	.	PUNCT
brj-24822	367	1	"	"	PUNCT
brj-24822	367	2	a	a	DET
brj-24822	367	3	real	real	ADJ
brj-24822	367	4	explosion	explosion	NOUN
brj-24822	367	5	:	:	PUNCT
brj-24822	367	6	the	the	DET
brj-24822	367	7	requirement	requirement	NOUN
brj-24822	367	8	of	of	ADP
brj-24822	367	9	steam	steam	NOUN
brj-24822	367	10	explosion	explosion	NOUN
brj-24822	367	11	pretreatment	pretreatment	NOUN
brj-24822	367	12	,	,	PUNCT
brj-24822	367	13	"	"	PUNCT
brj-24822	367	14	bioresource	bioresource	ADP
brj-24822	367	15	technol	technol	NOUN
brj-24822	367	16	.	.	PROPN
brj-24822	367	17	121	121	NUM
brj-24822	367	18	,	,	PUNCT
brj-24822	367	19	335	335	NUM
brj-24822	367	20	-	-	SYM
brj-24822	367	21	341	341	NUM
brj-24822	367	22	.	.	PUNCT
brj-24822	368	1	doi	doi	NOUN
brj-24822	368	2	:	:	PUNCT
brj-24822	368	3	10.1016	10.1016	NUM
brj-24822	368	4	/	/	SYM
brj-24822	368	5	j.biortech.2012.06.055	j.biortech.2012.06.055	PROPN
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brj-24822	369	11	biomass	biomass	NOUN
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brj-24822	372	8	reviewed	review	VERB
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brj-24822	373	2	2025	2025	NUM
brj-24822	373	3	)	)	PUNCT
brj-24822	373	4	.	.	PUNCT
brj-24822	374	1	“	"	PUNCT
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brj-24822	374	5	pretreatments	pretreatment	NOUN
brj-24822	374	6	,	,	PUNCT
brj-24822	374	7	”	"	PUNCT
brj-24822	374	8	bioresources	bioresource	VERB
brj-24822	374	9	20(4	20(4	NOUN
brj-24822	374	10	)	)	PUNCT
brj-24822	374	11	,	,	PUNCT
brj-24822	374	12	8400	8400	NUM
brj-24822	374	13	-	-	SYM
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brj-24822	374	15	.	.	PUNCT
brj-24822	375	1	8417	8417	NUM
brj-24822	375	2	zhang	zhang	PROPN
brj-24822	375	3	,	,	PUNCT
brj-24822	375	4	q.	q.	PROPN
brj-24822	375	5	,	,	PUNCT
brj-24822	375	6	wan	wan	PROPN
brj-24822	375	7	,	,	PUNCT
brj-24822	375	8	z.	z.	PROPN
brj-24822	375	9	,	,	PUNCT
brj-24822	375	10	yu	yu	PROPN
brj-24822	375	11	,	,	PUNCT
brj-24822	375	12	i.	i.	PROPN
brj-24822	375	13	k.	k.	PROPN
brj-24822	375	14	m.	m.	PROPN
brj-24822	375	15	,	,	PUNCT
brj-24822	375	16	and	and	CCONJ
brj-24822	375	17	tsang	tsang	PROPN
brj-24822	375	18	,	,	PUNCT
brj-24822	375	19	d.	d.	PROPN
brj-24822	375	20	c.	c.	PROPN
brj-24822	375	21	w.	w.	PROPN
brj-24822	375	22	(	(	PUNCT
brj-24822	375	23	2021	2021	NUM
brj-24822	375	24	)	)	PUNCT
brj-24822	375	25	.	.	PUNCT
brj-24822	376	1	"	"	PUNCT
brj-24822	376	2	sustainable	sustainable	ADJ
brj-24822	376	3	production	production	NOUN
brj-24822	376	4	of	of	ADP
brj-24822	376	5	high	high	ADJ
brj-24822	376	6	-	-	PUNCT
brj-24822	376	7	value	value	NOUN
brj-24822	376	8	gluconic	gluconic	ADJ
brj-24822	376	9	acid	acid	NOUN
brj-24822	376	10	and	and	CCONJ
brj-24822	376	11	glucaric	glucaric	ADJ
brj-24822	376	12	acid	acid	NOUN
brj-24822	376	13	through	through	ADP
brj-24822	376	14	oxidation	oxidation	NOUN
brj-24822	376	15	of	of	ADP
brj-24822	376	16	biomassderived	biomassderive	VERB
brj-24822	376	17	glucose	glucose	NOUN
brj-24822	376	18	:	:	PUNCT
brj-24822	376	19	a	a	DET
brj-24822	376	20	critical	critical	ADJ
brj-24822	376	21	review	review	NOUN
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brj-24822	376	23	"	"	PUNCT
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brj-24822	376	26	.	.	PUNCT
brj-24822	377	1	prod	prod	PROPN
brj-24822	377	2	.	.	PUNCT
brj-24822	378	1	312	312	NUM
brj-24822	378	2	,	,	PUNCT
brj-24822	378	3	127745	127745	NUM
brj-24822	378	4	.	.	PUNCT
brj-24822	379	1	doi	doi	NOUN
brj-24822	379	2	:	:	PUNCT
brj-24822	379	3	10.1016	10.1016	NUM
brj-24822	379	4	/	/	SYM
brj-24822	379	5	j.jclepro.2021.127745	j.jclepro.2021.127745	NOUN
brj-24822	379	6	article	article	NOUN
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brj-24822	379	8	:	:	PUNCT
brj-24822	379	9	may	may	AUX
brj-24822	379	10	28	28	NUM
brj-24822	379	11	,	,	PUNCT
brj-24822	379	12	2025	2025	NUM
brj-24822	379	13	;	;	PUNCT
brj-24822	379	14	peer	peer	NOUN
brj-24822	379	15	review	review	NOUN
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brj-24822	379	17	:	:	PUNCT
brj-24822	379	18	july	july	PROPN
brj-24822	379	19	1	1	NUM
brj-24822	379	20	,	,	PUNCT
brj-24822	379	21	2023	2023	NUM
brj-24822	379	22	;	;	PUNCT
brj-24822	379	23	revised	revise	VERB
brj-24822	379	24	version	version	NOUN
brj-24822	379	25	received	receive	VERB
brj-24822	379	26	:	:	PUNCT
brj-24822	379	27	july	july	PROPN
brj-24822	379	28	21	21	NUM
brj-24822	379	29	,	,	PUNCT
brj-24822	379	30	2025	2025	NUM
brj-24822	379	31	;	;	PUNCT
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brj-24822	379	33	:	:	PUNCT
brj-24822	379	34	july	july	PROPN
brj-24822	379	35	25	25	NUM
brj-24822	379	36	,	,	PUNCT
brj-24822	379	37	2025	2025	NUM
brj-24822	379	38	;	;	PUNCT
brj-24822	379	39	published	publish	VERB
brj-24822	379	40	:	:	PUNCT
brj-24822	379	41	august	august	PROPN
brj-24822	379	42	1	1	NUM
brj-24822	379	43	,	,	PUNCT
brj-24822	379	44	2025	2025	NUM
brj-24822	379	45	.	.	PUNCT
brj-24822	380	1	doi	doi	NOUN
brj-24822	380	2	:	:	PUNCT
brj-24822	380	3	10.15376	10.15376	NUM
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brj-24822	380	5	biores.20.4.8400	biores.20.4.8400	NOUN
brj-24822	380	6	-	-	PUNCT
brj-24822	380	7	8419	8419	NUM
brj-24822	380	8	peer	peer	NOUN
brj-24822	380	9	-	-	PUNCT
brj-24822	380	10	reviewed	review	VERB
brj-24822	380	11	article	article	NOUN
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brj-24822	381	2	2025	2025	NUM
brj-24822	381	3	)	)	PUNCT
brj-24822	381	4	.	.	PUNCT
brj-24822	382	1	“	"	PUNCT
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brj-24822	382	3	&	&	CCONJ
brj-24822	382	4	naoh	naoh	PROPN
brj-24822	382	5	pretreatments	pretreatment	NOUN
brj-24822	382	6	,	,	PUNCT
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brj-24822	382	10	)	)	PUNCT
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brj-24822	383	11	treatment	treatment	NOUN
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brj-24822	383	19	)	)	PUNCT
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brj-24822	383	23	%	%	INTJ
brj-24822	383	24	)	)	PUNCT
brj-24822	383	25	chemical	chemical	NOUN
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brj-24822	383	30	)	)	PUNCT
brj-24822	383	31	enzyme	enzyme	NOUN
brj-24822	383	32	hydrolysis	hydrolysis	NOUN
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brj-24822	383	34	(	(	PUNCT
brj-24822	383	35	%	%	NOUN
brj-24822	383	36	)	)	PUNCT
brj-24822	383	37	1	1	NUM
brj-24822	383	38	1	1	NUM
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brj-24822	383	42	1	1	NUM
brj-24822	383	43	1	1	NUM
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brj-24822	383	88	1	1	NUM
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brj-24822	383	91	79.1	79.1	NUM
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brj-24822	383	93	1	1	NUM
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brj-24822	383	97	1	1	NUM
brj-24822	383	98	1	1	NUM
brj-24822	383	99	0.5	0.5	NUM
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brj-24822	383	104	0.5	0.5	NUM
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brj-24822	383	106	54.9	54.9	NUM
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brj-24822	383	108	1	1	NUM
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brj-24822	383	113	1	1	NUM
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brj-24822	383	119	1	1	NUM
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brj-24822	383	121	87.8	87.8	NUM
brj-24822	383	122	1	1	NUM
brj-24822	383	123	1	1	NUM
brj-24822	383	124	1	1	NUM
brj-24822	383	125	12	12	NUM
brj-24822	383	126	87.4	87.4	NUM
brj-24822	383	127	1	1	NUM
brj-24822	383	128	1	1	NUM
brj-24822	383	129	1	1	NUM
brj-24822	383	130	24	24	NUM
brj-24822	383	131	89.7	89.7	NUM
brj-24822	383	132	1	1	NUM
brj-24822	383	133	1	1	NUM
brj-24822	383	134	1	1	NUM
brj-24822	383	135	24	24	NUM
brj-24822	383	136	87.9	87.9	NUM
brj-24822	383	137	1	1	NUM
brj-24822	383	138	1	1	NUM
brj-24822	383	139	2	2	NUM
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brj-24822	383	142	1	1	NUM
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brj-24822	383	147	1	1	NUM
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brj-24822	383	151	83.6	83.6	NUM
brj-24822	383	152	1	1	NUM
brj-24822	383	153	1	1	NUM
brj-24822	383	154	2	2	NUM
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brj-24822	383	165	12	12	NUM
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brj-24822	383	187	0	0	NUM
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