id	sid	tid	token	lemma	pos
brj-23713	1	1	peer	peer	NOUN
brj-23713	1	2	-	-	PUNCT
brj-23713	1	3	review	review	NOUN
brj-23713	1	4	article	article	NOUN
brj-23713	1	5	peer	peer	NOUN
brj-23713	1	6	-	-	PUNCT
brj-23713	1	7	reviewed	review	VERB
brj-23713	1	8	article	article	NOUN
brj-23713	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	1	10	xu	xu	PROPN
brj-23713	1	11	et	et	PROPN
brj-23713	1	12	al	al	PROPN
brj-23713	1	13	.	.	PROPN
brj-23713	2	1	(	(	PUNCT
brj-23713	2	2	2024	2024	NUM
brj-23713	2	3	)	)	PUNCT
brj-23713	2	4	.	.	PUNCT
brj-23713	3	1	“	"	PUNCT
brj-23713	3	2	machine	machine	NOUN
brj-23713	3	3	learning	learning	NOUN
brj-23713	3	4	for	for	ADP
brj-23713	3	5	biochar	biochar	NOUN
brj-23713	3	6	,	,	PUNCT
brj-23713	3	7	”	"	PUNCT
brj-23713	3	8	bioresources	bioresource	NOUN
brj-23713	3	9	19(3	19(3	NUM
brj-23713	3	10	)	)	PUNCT
brj-23713	3	11	,	,	PUNCT
brj-23713	3	12	6545	6545	NUM
brj-23713	3	13	-	-	SYM
brj-23713	3	14	6558	6558	NUM
brj-23713	3	15	.	.	PUNCT
brj-23713	4	1	6544	6544	NUM
brj-23713	4	2	using	use	VERB
brj-23713	4	3	machine	machine	NOUN
brj-23713	4	4	learning	learn	VERB
brj-23713	4	5	to	to	PART
brj-23713	4	6	predict	predict	VERB
brj-23713	4	7	biochar	biochar	NOUN
brj-23713	4	8	yield	yield	NOUN
brj-23713	4	9	and	and	CCONJ
brj-23713	4	10	carbon	carbon	NOUN
brj-23713	4	11	content	content	NOUN
brj-23713	4	12	:	:	PUNCT
brj-23713	4	13	enhancing	enhance	VERB
brj-23713	4	14	efficiency	efficiency	NOUN
brj-23713	4	15	and	and	CCONJ
brj-23713	4	16	sustainability	sustainability	NOUN
brj-23713	4	17	in	in	ADP
brj-23713	4	18	biomass	biomass	NOUN
brj-23713	4	19	conversion	conversion	PROPN
brj-23713	4	20	qingsheng	qingsheng	PROPN
brj-23713	4	21	xu	xu	PROPN
brj-23713	4	22	,	,	PUNCT
brj-23713	4	23	a	a	PRON
brj-23713	4	24	,	,	PUNCT
brj-23713	4	25	b	b	PROPN
brj-23713	4	26	long	long	ADJ
brj-23713	4	27	du	du	NOUN
brj-23713	4	28	,	,	PUNCT
brj-23713	4	29	a	a	PRON
brj-23713	4	30	and	and	CCONJ
brj-23713	4	31	rui	rui	PROPN
brj-23713	4	32	deng	deng	PROPN
brj-23713	4	33	a	a	PROPN
brj-23713	4	34	,	,	PUNCT
brj-23713	4	35	b	b	PROPN
brj-23713	4	36	,	,	PUNCT
brj-23713	4	37	*	*	PUNCT
brj-23713	4	38	*	*	PUNCT
brj-23713	4	39	corresponding	correspond	VERB
brj-23713	4	40	author	author	NOUN
brj-23713	4	41	:	:	PUNCT
brj-23713	4	42	dengrui@hfut.edu.cn	dengrui@hfut.edu.cn	PROPN
brj-23713	4	43	(	(	PUNCT
brj-23713	4	44	r.	r.	PROPN
brj-23713	4	45	deng	deng	PROPN
brj-23713	4	46	)	)	PUNCT
brj-23713	4	47	doi	doi	PROPN
brj-23713	4	48	:	:	PUNCT
brj-23713	4	49	10.15376	10.15376	NUM
brj-23713	4	50	/	/	SYM
brj-23713	4	51	biores.19.3.6545	biores.19.3.6545	NOUN
brj-23713	4	52	-	-	PUNCT
brj-23713	4	53	6558	6558	NUM
brj-23713	4	54	graphical	graphical	ADJ
brj-23713	4	55	abstract	abstract	ADJ
brj-23713	4	56	peer	peer	NOUN
brj-23713	4	57	-	-	PUNCT
brj-23713	4	58	reviewed	review	VERB
brj-23713	4	59	article	article	NOUN
brj-23713	4	60	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	4	61	xu	xu	PROPN
brj-23713	4	62	et	et	PROPN
brj-23713	4	63	al	al	PROPN
brj-23713	4	64	.	.	PROPN
brj-23713	5	1	(	(	PUNCT
brj-23713	5	2	2024	2024	NUM
brj-23713	5	3	)	)	PUNCT
brj-23713	5	4	.	.	PUNCT
brj-23713	6	1	“	"	PUNCT
brj-23713	6	2	machine	machine	NOUN
brj-23713	6	3	learning	learning	NOUN
brj-23713	6	4	for	for	ADP
brj-23713	6	5	biochar	biochar	NOUN
brj-23713	6	6	,	,	PUNCT
brj-23713	6	7	”	"	PUNCT
brj-23713	6	8	bioresources	bioresource	NOUN
brj-23713	6	9	19(3	19(3	NUM
brj-23713	6	10	)	)	PUNCT
brj-23713	6	11	,	,	PUNCT
brj-23713	6	12	6545	6545	NUM
brj-23713	6	13	-	-	SYM
brj-23713	6	14	6558	6558	NUM
brj-23713	6	15	.	.	PUNCT
brj-23713	7	1	6545	6545	NUM
brj-23713	7	2	using	use	VERB
brj-23713	7	3	machine	machine	NOUN
brj-23713	7	4	learning	learn	VERB
brj-23713	7	5	to	to	PART
brj-23713	7	6	predict	predict	VERB
brj-23713	7	7	biochar	biochar	NOUN
brj-23713	7	8	yield	yield	NOUN
brj-23713	7	9	and	and	CCONJ
brj-23713	7	10	carbon	carbon	NOUN
brj-23713	7	11	content	content	NOUN
brj-23713	7	12	:	:	PUNCT
brj-23713	7	13	enhancing	enhance	VERB
brj-23713	7	14	efficiency	efficiency	NOUN
brj-23713	7	15	and	and	CCONJ
brj-23713	7	16	sustainability	sustainability	NOUN
brj-23713	7	17	in	in	ADP
brj-23713	7	18	biomass	biomass	NOUN
brj-23713	7	19	conversion	conversion	PROPN
brj-23713	7	20	qingsheng	qingsheng	PROPN
brj-23713	7	21	xu	xu	PROPN
brj-23713	7	22	,	,	PUNCT
brj-23713	7	23	a	a	PRON
brj-23713	7	24	,	,	PUNCT
brj-23713	7	25	b	b	PROPN
brj-23713	7	26	long	long	ADJ
brj-23713	7	27	du	du	NOUN
brj-23713	7	28	,	,	PUNCT
brj-23713	7	29	a	a	PRON
brj-23713	7	30	and	and	CCONJ
brj-23713	7	31	rui	rui	PROPN
brj-23713	7	32	deng	deng	PROPN
brj-23713	7	33	a	a	PROPN
brj-23713	7	34	,	,	PUNCT
brj-23713	7	35	b	b	PROPN
brj-23713	7	36	,	,	PUNCT
brj-23713	7	37	*	*	PUNCT
brj-23713	7	38	the	the	DET
brj-23713	7	39	production	production	NOUN
brj-23713	7	40	of	of	ADP
brj-23713	7	41	biochar	biochar	NOUN
brj-23713	7	42	through	through	ADP
brj-23713	7	43	pyrolysis	pyrolysis	NOUN
brj-23713	7	44	of	of	ADP
brj-23713	7	45	biomass	biomass	NOUN
brj-23713	7	46	is	be	AUX
brj-23713	7	47	expected	expect	VERB
brj-23713	7	48	to	to	PART
brj-23713	7	49	reduce	reduce	VERB
brj-23713	7	50	dependence	dependence	NOUN
brj-23713	7	51	on	on	ADP
brj-23713	7	52	traditional	traditional	ADJ
brj-23713	7	53	energy	energy	NOUN
brj-23713	7	54	sources	source	NOUN
brj-23713	7	55	and	and	CCONJ
brj-23713	7	56	mitigate	mitigate	VERB
brj-23713	7	57	global	global	ADJ
brj-23713	7	58	warming	warming	NOUN
brj-23713	7	59	.	.	PUNCT
brj-23713	8	1	however	however	ADV
brj-23713	8	2	,	,	PUNCT
brj-23713	8	3	current	current	ADJ
brj-23713	8	4	predictive	predictive	ADJ
brj-23713	8	5	models	model	NOUN
brj-23713	8	6	for	for	ADP
brj-23713	8	7	biochar	biochar	NOUN
brj-23713	8	8	yield	yield	NOUN
brj-23713	8	9	and	and	CCONJ
brj-23713	8	10	composition	composition	NOUN
brj-23713	8	11	are	be	AUX
brj-23713	8	12	computationally	computationally	ADV
brj-23713	8	13	intensive	intensive	ADJ
brj-23713	8	14	,	,	PUNCT
brj-23713	8	15	complex	complex	ADJ
brj-23713	8	16	,	,	PUNCT
brj-23713	8	17	and	and	CCONJ
brj-23713	8	18	lack	lack	NOUN
brj-23713	8	19	accuracy	accuracy	NOUN
brj-23713	8	20	for	for	ADP
brj-23713	8	21	extrapolative	extrapolative	ADJ
brj-23713	8	22	scenarios	scenario	NOUN
brj-23713	8	23	.	.	PUNCT
brj-23713	9	1	this	this	DET
brj-23713	9	2	study	study	NOUN
brj-23713	9	3	utilized	utilize	VERB
brj-23713	9	4	machine	machine	NOUN
brj-23713	9	5	learning	learn	VERB
brj-23713	9	6	to	to	PART
brj-23713	9	7	develop	develop	VERB
brj-23713	9	8	predictive	predictive	ADJ
brj-23713	9	9	models	model	NOUN
brj-23713	9	10	for	for	ADP
brj-23713	9	11	biochar	biochar	NOUN
brj-23713	9	12	yield	yield	NOUN
brj-23713	9	13	and	and	CCONJ
brj-23713	9	14	carbon	carbon	NOUN
brj-23713	9	15	content	content	NOUN
brj-23713	9	16	based	base	VERB
brj-23713	9	17	on	on	ADP
brj-23713	9	18	pyrolysis	pyrolysis	NOUN
brj-23713	9	19	data	datum	NOUN
brj-23713	9	20	from	from	ADP
brj-23713	9	21	lignocellulosic	lignocellulosic	ADJ
brj-23713	9	22	biomass	biomass	NOUN
brj-23713	9	23	.	.	PUNCT
brj-23713	10	1	assessing	assess	VERB
brj-23713	10	2	the	the	DET
brj-23713	10	3	importance	importance	NOUN
brj-23713	10	4	of	of	ADP
brj-23713	10	5	input	input	NOUN
brj-23713	10	6	features	feature	NOUN
brj-23713	10	7	revealed	reveal	VERB
brj-23713	10	8	their	their	PRON
brj-23713	10	9	significant	significant	ADJ
brj-23713	10	10	role	role	NOUN
brj-23713	10	11	in	in	ADP
brj-23713	10	12	predicting	predict	VERB
brj-23713	10	13	biochar	biochar	NOUN
brj-23713	10	14	properties	property	NOUN
brj-23713	10	15	.	.	PUNCT
brj-23713	11	1	the	the	DET
brj-23713	11	2	findings	finding	NOUN
brj-23713	11	3	indicate	indicate	VERB
brj-23713	11	4	that	that	DET
brj-23713	11	5	extreme	extreme	ADJ
brj-23713	11	6	gradient	gradient	NOUN
brj-23713	11	7	boosting	boost	VERB
brj-23713	11	8	(	(	PUNCT
brj-23713	11	9	xgboost	xgboost	ADJ
brj-23713	11	10	)	)	PUNCT
brj-23713	11	11	algorithms	algorithm	NOUN
brj-23713	11	12	can	can	AUX
brj-23713	11	13	accurately	accurately	ADV
brj-23713	11	14	forecast	forecast	VERB
brj-23713	11	15	biochar	biochar	NOUN
brj-23713	11	16	yield	yield	NOUN
brj-23713	11	17	and	and	CCONJ
brj-23713	11	18	carbon	carbon	NOUN
brj-23713	11	19	content	content	NOUN
brj-23713	11	20	based	base	VERB
brj-23713	11	21	on	on	ADP
brj-23713	11	22	biomass	biomass	NOUN
brj-23713	11	23	characteristics	characteristic	NOUN
brj-23713	11	24	and	and	CCONJ
brj-23713	11	25	pyrolysis	pyrolysis	NOUN
brj-23713	11	26	conditions	condition	NOUN
brj-23713	11	27	.	.	PUNCT
brj-23713	12	1	this	this	DET
brj-23713	12	2	research	research	NOUN
brj-23713	12	3	contributes	contribute	VERB
brj-23713	12	4	new	new	ADJ
brj-23713	12	5	insights	insight	NOUN
brj-23713	12	6	into	into	ADP
brj-23713	12	7	understanding	understand	VERB
brj-23713	12	8	biomass	biomass	NOUN
brj-23713	12	9	pyrolysis	pyrolysis	NOUN
brj-23713	12	10	and	and	CCONJ
brj-23713	12	11	enhancing	enhance	VERB
brj-23713	12	12	biochar	biochar	NOUN
brj-23713	12	13	production	production	NOUN
brj-23713	12	14	efficiency	efficiency	NOUN
brj-23713	12	15	.	.	PUNCT
brj-23713	13	1	doi	doi	NOUN
brj-23713	13	2	:	:	PUNCT
brj-23713	13	3	10.15376	10.15376	NUM
brj-23713	13	4	/	/	SYM
brj-23713	13	5	biores.19.3.6545	biores.19.3.6545	NOUN
brj-23713	13	6	-	-	PUNCT
brj-23713	13	7	6558	6558	NUM
brj-23713	13	8	keywords	keyword	NOUN
brj-23713	13	9	:	:	PUNCT
brj-23713	13	10	biomass	biomass	NOUN
brj-23713	13	11	;	;	PUNCT
brj-23713	13	12	biochar	biochar	NOUN
brj-23713	13	13	;	;	PUNCT
brj-23713	13	14	pyrolysis	pyrolysis	NOUN
brj-23713	13	15	;	;	PUNCT
brj-23713	13	16	machine	machine	NOUN
brj-23713	13	17	learning	learning	NOUN
brj-23713	13	18	;	;	PUNCT
brj-23713	13	19	feature	feature	VERB
brj-23713	13	20	importance	importance	NOUN
brj-23713	13	21	contact	contact	NOUN
brj-23713	13	22	information	information	NOUN
brj-23713	13	23	:	:	PUNCT
brj-23713	13	24	a	a	X
brj-23713	13	25	:	:	PUNCT
brj-23713	13	26	school	school	NOUN
brj-23713	13	27	of	of	ADP
brj-23713	13	28	resources	resource	NOUN
brj-23713	13	29	and	and	CCONJ
brj-23713	13	30	environmental	environmental	ADJ
brj-23713	13	31	engineering	engineering	NOUN
brj-23713	13	32	,	,	PUNCT
brj-23713	13	33	hefei	hefei	PROPN
brj-23713	13	34	university	university	PROPN
brj-23713	13	35	of	of	ADP
brj-23713	13	36	technology	technology	PROPN
brj-23713	13	37	,	,	PUNCT
brj-23713	13	38	hefei	hefei	PROPN
brj-23713	13	39	,	,	PUNCT
brj-23713	13	40	anhui	anhui	PROPN
brj-23713	13	41	230009	230009	NUM
brj-23713	13	42	,	,	PUNCT
brj-23713	13	43	china	china	PROPN
brj-23713	13	44	;	;	PUNCT
brj-23713	13	45	b	b	X
brj-23713	13	46	:	:	PUNCT
brj-23713	13	47	key	key	ADJ
brj-23713	13	48	laboratory	laboratory	NOUN
brj-23713	13	49	of	of	ADP
brj-23713	13	50	nanominerals	nanomineral	NOUN
brj-23713	13	51	and	and	CCONJ
brj-23713	13	52	pollution	pollution	NOUN
brj-23713	13	53	control	control	NOUN
brj-23713	13	54	of	of	ADP
brj-23713	13	55	anhui	anhui	PROPN
brj-23713	13	56	higher	high	ADJ
brj-23713	13	57	education	education	PROPN
brj-23713	13	58	institutes	institutes	PROPN
brj-23713	13	59	,	,	PUNCT
brj-23713	13	60	hefei	hefei	PROPN
brj-23713	13	61	university	university	PROPN
brj-23713	13	62	of	of	ADP
brj-23713	13	63	technology	technology	PROPN
brj-23713	13	64	,	,	PUNCT
brj-23713	13	65	hefei	hefei	PROPN
brj-23713	13	66	,	,	PUNCT
brj-23713	13	67	anhui	anhui	PROPN
brj-23713	13	68	230009	230009	NUM
brj-23713	13	69	,	,	PUNCT
brj-23713	13	70	china	china	PROPN
brj-23713	13	71	;	;	PUNCT
brj-23713	13	72	*	*	PUNCT
brj-23713	13	73	corresponding	correspond	VERB
brj-23713	13	74	author	author	NOUN
brj-23713	13	75	:	:	PUNCT
brj-23713	13	76	dengrui@hfut.edu.cn	dengrui@hfut.edu.cn	PROPN
brj-23713	13	77	(	(	PUNCT
brj-23713	13	78	r.	r.	PROPN
brj-23713	13	79	deng	deng	PROPN
brj-23713	13	80	)	)	PUNCT
brj-23713	13	81	introduction	introduction	NOUN
brj-23713	13	82	to	to	PART
brj-23713	13	83	cope	cope	VERB
brj-23713	13	84	with	with	ADP
brj-23713	13	85	the	the	DET
brj-23713	13	86	dual	dual	ADJ
brj-23713	13	87	pressures	pressure	NOUN
brj-23713	13	88	of	of	ADP
brj-23713	13	89	increasing	increase	VERB
brj-23713	13	90	energy	energy	NOUN
brj-23713	13	91	demand	demand	NOUN
brj-23713	13	92	and	and	CCONJ
brj-23713	13	93	environmental	environmental	ADJ
brj-23713	13	94	pollution	pollution	NOUN
brj-23713	13	95	caused	cause	VERB
brj-23713	13	96	by	by	ADP
brj-23713	13	97	fossil	fossil	ADJ
brj-23713	13	98	fuels	fuel	NOUN
brj-23713	13	99	worldwide	worldwide	ADV
brj-23713	13	100	,	,	PUNCT
brj-23713	13	101	biomass	biomass	NOUN
brj-23713	13	102	has	have	AUX
brj-23713	13	103	received	receive	VERB
brj-23713	13	104	much	much	ADJ
brj-23713	13	105	attention	attention	NOUN
brj-23713	13	106	as	as	ADP
brj-23713	13	107	one	one	NUM
brj-23713	13	108	of	of	ADP
brj-23713	13	109	the	the	DET
brj-23713	13	110	most	most	ADV
brj-23713	13	111	abundant	abundant	ADJ
brj-23713	13	112	and	and	CCONJ
brj-23713	13	113	promising	promise	VERB
brj-23713	13	114	renewable	renewable	ADJ
brj-23713	13	115	raw	raw	ADJ
brj-23713	13	116	materials	material	NOUN
brj-23713	13	117	(	(	PUNCT
brj-23713	13	118	antar	antar	PROPN
brj-23713	13	119	et	et	PROPN
brj-23713	13	120	al	al	PROPN
brj-23713	13	121	.	.	PROPN
brj-23713	13	122	2021	2021	NUM
brj-23713	13	123	;	;	PUNCT
brj-23713	13	124	hassan	hassan	PROPN
brj-23713	13	125	et	et	PROPN
brj-23713	13	126	al	al	PROPN
brj-23713	13	127	.	.	PROPN
brj-23713	13	128	2024	2024	NUM
brj-23713	13	129	)	)	PUNCT
brj-23713	13	130	.	.	PUNCT
brj-23713	14	1	the	the	DET
brj-23713	14	2	global	global	ADJ
brj-23713	14	3	biomass	biomass	NOUN
brj-23713	14	4	reservoir	reservoir	PROPN
brj-23713	14	5	stands	stand	VERB
brj-23713	14	6	at	at	ADP
brj-23713	14	7	an	an	DET
brj-23713	14	8	impressive	impressive	ADJ
brj-23713	14	9	540	540	NUM
brj-23713	14	10	million	million	NUM
brj-23713	14	11	tons	ton	NOUN
brj-23713	14	12	of	of	ADP
brj-23713	14	13	standard	standard	ADJ
brj-23713	14	14	coal	coal	NOUN
brj-23713	14	15	,	,	PUNCT
brj-23713	14	16	with	with	ADP
brj-23713	14	17	280	280	NUM
brj-23713	14	18	million	million	NUM
brj-23713	14	19	tons	ton	NOUN
brj-23713	14	20	suitable	suitable	ADJ
brj-23713	14	21	for	for	ADP
brj-23713	14	22	energy	energy	NOUN
brj-23713	14	23	production	production	NOUN
brj-23713	14	24	(	(	PUNCT
brj-23713	14	25	xu	xu	INTJ
brj-23713	14	26	et	et	PROPN
brj-23713	14	27	al	al	PROPN
brj-23713	14	28	.	.	PROPN
brj-23713	14	29	2021	2021	NUM
brj-23713	14	30	)	)	PUNCT
brj-23713	14	31	.	.	PUNCT
brj-23713	15	1	biomass	biomass	NOUN
brj-23713	15	2	lends	lend	VERB
brj-23713	15	3	itself	itself	PRON
brj-23713	15	4	to	to	PART
brj-23713	15	5	conversion	conversion	VERB
brj-23713	15	6	into	into	ADP
brj-23713	15	7	bioenergy	bioenergy	NOUN
brj-23713	15	8	through	through	ADP
brj-23713	15	9	biological	biological	ADJ
brj-23713	15	10	and	and	CCONJ
brj-23713	15	11	thermochemical	thermochemical	ADJ
brj-23713	15	12	means	mean	NOUN
brj-23713	15	13	(	(	PUNCT
brj-23713	15	14	wang	wang	PROPN
brj-23713	15	15	and	and	CCONJ
brj-23713	15	16	wu	wu	PROPN
brj-23713	15	17	2023	2023	NUM
brj-23713	15	18	)	)	PUNCT
brj-23713	15	19	.	.	PUNCT
brj-23713	16	1	pyrolysis	pyrolysis	NOUN
brj-23713	16	2	is	be	AUX
brj-23713	16	3	the	the	DET
brj-23713	16	4	dominant	dominant	ADJ
brj-23713	16	5	technology	technology	NOUN
brj-23713	16	6	for	for	ADP
brj-23713	16	7	converting	convert	VERB
brj-23713	16	8	solid	solid	ADJ
brj-23713	16	9	biomass	biomass	NOUN
brj-23713	16	10	into	into	ADP
brj-23713	16	11	bio	bio	NOUN
brj-23713	16	12	-	-	NOUN
brj-23713	16	13	oils	oil	NOUN
brj-23713	16	14	,	,	PUNCT
brj-23713	16	15	gaseous	gaseous	ADJ
brj-23713	16	16	products	product	NOUN
brj-23713	16	17	and	and	CCONJ
brj-23713	16	18	biochar	biochar	NOUN
brj-23713	16	19	in	in	ADP
brj-23713	16	20	anoxic	anoxic	ADJ
brj-23713	16	21	or	or	CCONJ
brj-23713	16	22	anoxic	anoxic	ADJ
brj-23713	16	23	environments	environment	NOUN
brj-23713	16	24	.	.	PUNCT
brj-23713	17	1	among	among	ADP
brj-23713	17	2	them	they	PRON
brj-23713	17	3	,	,	PUNCT
brj-23713	17	4	biochar	biochar	NOUN
brj-23713	17	5	has	have	AUX
brj-23713	17	6	been	be	AUX
brj-23713	17	7	used	use	VERB
brj-23713	17	8	in	in	ADP
brj-23713	17	9	multidisciplinary	multidisciplinary	ADJ
brj-23713	17	10	fields	field	NOUN
brj-23713	17	11	in	in	ADP
brj-23713	17	12	recent	recent	ADJ
brj-23713	17	13	years	year	NOUN
brj-23713	17	14	due	due	ADP
brj-23713	17	15	to	to	ADP
brj-23713	17	16	its	its	PRON
brj-23713	17	17	high	high	ADJ
brj-23713	17	18	surface	surface	NOUN
brj-23713	17	19	area	area	NOUN
brj-23713	17	20	,	,	PUNCT
brj-23713	17	21	rich	rich	ADJ
brj-23713	17	22	carbon	carbon	NOUN
brj-23713	17	23	content	content	NOUN
brj-23713	17	24	,	,	PUNCT
brj-23713	17	25	and	and	CCONJ
brj-23713	17	26	surface	surface	NOUN
brj-23713	17	27	functional	functional	ADJ
brj-23713	17	28	groups	group	NOUN
brj-23713	17	29	(	(	PUNCT
brj-23713	17	30	li	li	PROPN
brj-23713	17	31	et	et	PROPN
brj-23713	17	32	al	al	PROPN
brj-23713	17	33	.	.	PROPN
brj-23713	17	34	2023	2023	NUM
brj-23713	17	35	)	)	PUNCT
brj-23713	17	36	.	.	PUNCT
brj-23713	18	1	the	the	DET
brj-23713	18	2	yield	yield	NOUN
brj-23713	18	3	and	and	CCONJ
brj-23713	18	4	characteristics	characteristic	NOUN
brj-23713	18	5	of	of	ADP
brj-23713	18	6	biochar	biochar	NOUN
brj-23713	18	7	are	be	AUX
brj-23713	18	8	affected	affect	VERB
brj-23713	18	9	by	by	ADP
brj-23713	18	10	the	the	DET
brj-23713	18	11	nature	nature	NOUN
brj-23713	18	12	of	of	ADP
brj-23713	18	13	the	the	DET
brj-23713	18	14	biomass	biomass	NOUN
brj-23713	18	15	and	and	CCONJ
brj-23713	18	16	the	the	DET
brj-23713	18	17	specific	specific	ADJ
brj-23713	18	18	situation	situation	NOUN
brj-23713	18	19	of	of	ADP
brj-23713	18	20	the	the	DET
brj-23713	18	21	pyrolysis	pyrolysis	NOUN
brj-23713	18	22	process	process	NOUN
brj-23713	18	23	,	,	PUNCT
brj-23713	18	24	and	and	CCONJ
brj-23713	18	25	biochar	biochar	NOUN
brj-23713	18	26	with	with	ADP
brj-23713	18	27	different	different	ADJ
brj-23713	18	28	characteristics	characteristic	NOUN
brj-23713	18	29	has	have	VERB
brj-23713	18	30	corresponding	correspond	VERB
brj-23713	18	31	applications	application	NOUN
brj-23713	18	32	.	.	PUNCT
brj-23713	19	1	notably	notably	ADV
brj-23713	19	2	,	,	PUNCT
brj-23713	19	3	the	the	DET
brj-23713	19	4	most	most	ADV
brj-23713	19	5	favorable	favorable	ADJ
brj-23713	19	6	settings	setting	NOUN
brj-23713	19	7	for	for	ADP
brj-23713	19	8	biochar	biochar	NOUN
brj-23713	19	9	manufacture	manufacture	NOUN
brj-23713	19	10	are	be	AUX
brj-23713	19	11	not	not	PART
brj-23713	19	12	universal	universal	ADJ
brj-23713	19	13	but	but	CCONJ
brj-23713	19	14	are	be	AUX
brj-23713	19	15	tailored	tailor	VERB
brj-23713	19	16	to	to	ADP
brj-23713	19	17	the	the	DET
brj-23713	19	18	specific	specific	ADJ
brj-23713	19	19	biochar	biochar	NOUN
brj-23713	19	20	attributes	attribute	NOUN
brj-23713	19	21	and	and	CCONJ
brj-23713	19	22	intended	intend	VERB
brj-23713	19	23	end	end	NOUN
brj-23713	19	24	-	-	PUNCT
brj-23713	19	25	uses	use	NOUN
brj-23713	19	26	sought	seek	VERB
brj-23713	19	27	after	after	ADP
brj-23713	19	28	(	(	PUNCT
brj-23713	19	29	tomczyk	tomczyk	NOUN
brj-23713	19	30	et	et	NOUN
brj-23713	19	31	al	al	PROPN
brj-23713	19	32	.	.	PROPN
brj-23713	19	33	2020	2020	NUM
brj-23713	19	34	)	)	PUNCT
brj-23713	19	35	.	.	PUNCT
brj-23713	20	1	safarian	safarian	NOUN
brj-23713	20	2	(	(	PUNCT
brj-23713	20	3	2023	2023	NUM
brj-23713	20	4	)	)	PUNCT
brj-23713	20	5	conducted	conduct	VERB
brj-23713	20	6	an	an	DET
brj-23713	20	7	extensive	extensive	ADJ
brj-23713	20	8	review	review	NOUN
brj-23713	20	9	of	of	ADP
brj-23713	20	10	numerous	numerous	ADJ
brj-23713	20	11	environmentally	environmentally	ADV
brj-23713	20	12	sustainable	sustainable	ADJ
brj-23713	20	13	techniques	technique	NOUN
brj-23713	20	14	for	for	ADP
brj-23713	20	15	biochar	biochar	NOUN
brj-23713	20	16	generation	generation	NOUN
brj-23713	20	17	,	,	PUNCT
brj-23713	20	18	examining	examine	VERB
brj-23713	20	19	them	they	PRON
brj-23713	20	20	through	through	ADP
brj-23713	20	21	the	the	DET
brj-23713	20	22	lens	lens	NOUN
brj-23713	20	23	of	of	ADP
brj-23713	20	24	process	process	NOUN
brj-23713	20	25	efficiency	efficiency	NOUN
brj-23713	20	26	.	.	PUNCT
brj-23713	21	1	their	their	PRON
brj-23713	21	2	findings	finding	NOUN
brj-23713	21	3	highlighted	highlight	VERB
brj-23713	21	4	a	a	DET
brj-23713	21	5	substantial	substantial	ADJ
brj-23713	21	6	variation	variation	NOUN
brj-23713	21	7	in	in	ADP
brj-23713	21	8	both	both	CCONJ
brj-23713	21	9	the	the	DET
brj-23713	21	10	output	output	NOUN
brj-23713	21	11	quantities	quantity	NOUN
brj-23713	21	12	and	and	CCONJ
brj-23713	21	13	the	the	DET
brj-23713	21	14	peer	peer	NOUN
brj-23713	21	15	-	-	PUNCT
brj-23713	21	16	reviewed	review	VERB
brj-23713	21	17	article	article	NOUN
brj-23713	21	18	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	22	1	xu	xu	PROPN
brj-23713	22	2	et	et	PROPN
brj-23713	22	3	al	al	PROPN
brj-23713	22	4	.	.	PROPN
brj-23713	22	5	(	(	PUNCT
brj-23713	22	6	2024	2024	NUM
brj-23713	22	7	)	)	PUNCT
brj-23713	22	8	.	.	PUNCT
brj-23713	23	1	“	"	PUNCT
brj-23713	23	2	machine	machine	NOUN
brj-23713	23	3	learning	learning	NOUN
brj-23713	23	4	for	for	ADP
brj-23713	23	5	biochar	biochar	NOUN
brj-23713	23	6	,	,	PUNCT
brj-23713	23	7	”	"	PUNCT
brj-23713	23	8	bioresources	bioresource	NOUN
brj-23713	23	9	19(3	19(3	NUM
brj-23713	23	10	)	)	PUNCT
brj-23713	23	11	,	,	PUNCT
brj-23713	23	12	6545	6545	NUM
brj-23713	23	13	-	-	SYM
brj-23713	23	14	6558	6558	NUM
brj-23713	23	15	.	.	PUNCT
brj-23713	24	1	6546	6546	NUM
brj-23713	24	2	qualitative	qualitative	ADJ
brj-23713	24	3	features	feature	NOUN
brj-23713	24	4	of	of	ADP
brj-23713	24	5	the	the	DET
brj-23713	24	6	products	product	NOUN
brj-23713	24	7	derived	derive	VERB
brj-23713	24	8	from	from	ADP
brj-23713	24	9	thermochemical	thermochemical	ADJ
brj-23713	24	10	biomass	biomass	NOUN
brj-23713	24	11	conversion	conversion	NOUN
brj-23713	24	12	methods	method	NOUN
brj-23713	24	13	.	.	PUNCT
brj-23713	25	1	this	this	DET
brj-23713	25	2	observed	observed	ADJ
brj-23713	25	3	disparity	disparity	NOUN
brj-23713	25	4	can	can	AUX
brj-23713	25	5	largely	largely	ADV
brj-23713	25	6	be	be	AUX
brj-23713	25	7	attributed	attribute	VERB
brj-23713	25	8	to	to	ADP
brj-23713	25	9	disparities	disparity	NOUN
brj-23713	25	10	in	in	ADP
brj-23713	25	11	raw	raw	ADJ
brj-23713	25	12	material	material	NOUN
brj-23713	25	13	compositions	composition	NOUN
brj-23713	25	14	(	(	PUNCT
brj-23713	25	15	feedstocks	feedstock	NOUN
brj-23713	25	16	)	)	PUNCT
brj-23713	25	17	,	,	PUNCT
brj-23713	25	18	operational	operational	ADJ
brj-23713	25	19	parameters	parameter	NOUN
brj-23713	25	20	,	,	PUNCT
brj-23713	25	21	and	and	CCONJ
brj-23713	25	22	the	the	DET
brj-23713	25	23	specific	specific	ADJ
brj-23713	25	24	methodologies	methodology	NOUN
brj-23713	25	25	employed	employ	VERB
brj-23713	25	26	during	during	ADP
brj-23713	25	27	application	application	NOUN
brj-23713	25	28	(	(	PUNCT
brj-23713	25	29	safarian	safarian	NOUN
brj-23713	25	30	2023	2023	NUM
brj-23713	25	31	)	)	PUNCT
brj-23713	25	32	.	.	PUNCT
brj-23713	26	1	the	the	DET
brj-23713	26	2	studies	study	NOUN
brj-23713	26	3	of	of	ADP
brj-23713	26	4	leng	leng	PROPN
brj-23713	26	5	and	and	CCONJ
brj-23713	26	6	huang	huang	PROPN
brj-23713	26	7	(	(	PUNCT
brj-23713	26	8	2018	2018	NUM
brj-23713	26	9	)	)	PUNCT
brj-23713	26	10	further	far	ADV
brj-23713	26	11	revealed	reveal	VERB
brj-23713	26	12	that	that	SCONJ
brj-23713	26	13	the	the	DET
brj-23713	26	14	variables	variable	NOUN
brj-23713	26	15	in	in	ADP
brj-23713	26	16	biochar	biochar	NOUN
brj-23713	26	17	manufacturing	manufacturing	NOUN
brj-23713	26	18	,	,	PUNCT
brj-23713	26	19	encompassing	encompass	VERB
brj-23713	26	20	the	the	DET
brj-23713	26	21	composition	composition	NOUN
brj-23713	26	22	and	and	CCONJ
brj-23713	26	23	traits	trait	NOUN
brj-23713	26	24	of	of	ADP
brj-23713	26	25	the	the	DET
brj-23713	26	26	original	original	ADJ
brj-23713	26	27	biomass	biomass	NOUN
brj-23713	26	28	as	as	ADV
brj-23713	26	29	well	well	ADV
brj-23713	26	30	as	as	ADP
brj-23713	26	31	the	the	DET
brj-23713	26	32	precise	precise	ADJ
brj-23713	26	33	pyrolysis	pyrolysis	NOUN
brj-23713	26	34	circumstances	circumstance	NOUN
brj-23713	26	35	,	,	PUNCT
brj-23713	26	36	exert	exert	VERB
brj-23713	26	37	diverse	diverse	ADJ
brj-23713	26	38	impacts	impact	NOUN
brj-23713	26	39	on	on	ADP
brj-23713	26	40	the	the	DET
brj-23713	26	41	resultant	resultant	NOUN
brj-23713	26	42	biochar	biochar	NOUN
brj-23713	26	43	stability	stability	NOUN
brj-23713	26	44	.	.	PUNCT
brj-23713	27	1	of	of	ADP
brj-23713	27	2	these	these	DET
brj-23713	27	3	factors	factor	NOUN
brj-23713	27	4	,	,	PUNCT
brj-23713	27	5	the	the	DET
brj-23713	27	6	pyrolysis	pyrolysis	NOUN
brj-23713	27	7	temperature	temperature	NOUN
brj-23713	27	8	emerges	emerge	VERB
brj-23713	27	9	as	as	SCONJ
brj-23713	27	10	the	the	DET
brj-23713	27	11	paramount	paramount	NOUN
brj-23713	27	12	determinant	determinant	ADJ
brj-23713	27	13	in	in	ADP
brj-23713	27	14	regulating	regulate	VERB
brj-23713	27	15	biochar	biochar	NOUN
brj-23713	27	16	stability	stability	NOUN
brj-23713	27	17	.	.	PUNCT
brj-23713	28	1	elevated	elevated	ADJ
brj-23713	28	2	temperatures	temperature	NOUN
brj-23713	28	3	during	during	ADP
brj-23713	28	4	processing	processing	NOUN
brj-23713	28	5	render	render	VERB
brj-23713	28	6	biochar	biochar	NOUN
brj-23713	28	7	notably	notably	ADV
brj-23713	28	8	consistent	consistent	ADJ
brj-23713	28	9	,	,	PUNCT
brj-23713	28	10	accomplishing	accomplish	VERB
brj-23713	28	11	the	the	DET
brj-23713	28	12	biomass	biomass	NOUN
brj-23713	28	13	variety	variety	NOUN
brj-23713	28	14	and	and	CCONJ
brj-23713	28	15	supplementary	supplementary	ADJ
brj-23713	28	16	pyrolysis	pyrolysis	NOUN
brj-23713	28	17	conditions	condition	NOUN
brj-23713	28	18	inconsequential	inconsequential	ADJ
brj-23713	28	19	.	.	PUNCT
brj-23713	29	1	conversely	conversely	ADV
brj-23713	29	2	,	,	PUNCT
brj-23713	29	3	in	in	ADP
brj-23713	29	4	scenarios	scenario	NOUN
brj-23713	29	5	where	where	SCONJ
brj-23713	29	6	milder	mild	ADJ
brj-23713	29	7	temperatures	temperature	NOUN
brj-23713	29	8	are	be	AUX
brj-23713	29	9	employed	employ	VERB
brj-23713	29	10	,	,	PUNCT
brj-23713	29	11	alternative	alternative	ADJ
brj-23713	29	12	process	process	NOUN
brj-23713	29	13	parameters	parameter	NOUN
brj-23713	29	14	assume	assume	VERB
brj-23713	29	15	a	a	DET
brj-23713	29	16	more	more	ADV
brj-23713	29	17	significant	significant	ADJ
brj-23713	29	18	role	role	NOUN
brj-23713	29	19	in	in	ADP
brj-23713	29	20	influencing	influence	VERB
brj-23713	29	21	biochar	biochar	NOUN
brj-23713	29	22	stability	stability	NOUN
brj-23713	29	23	(	(	PUNCT
brj-23713	29	24	leng	leng	PROPN
brj-23713	29	25	and	and	CCONJ
brj-23713	29	26	huang	huang	PROPN
brj-23713	29	27	2018	2018	NUM
brj-23713	29	28	)	)	PUNCT
brj-23713	29	29	.	.	PUNCT
brj-23713	30	1	as	as	ADP
brj-23713	30	2	a	a	DET
brj-23713	30	3	result	result	NOUN
brj-23713	30	4	,	,	PUNCT
brj-23713	30	5	scholars	scholar	NOUN
brj-23713	30	6	have	have	AUX
brj-23713	30	7	delved	delve	VERB
brj-23713	30	8	into	into	ADP
brj-23713	30	9	biochar	biochar	NOUN
brj-23713	30	10	manufacturing	manufacturing	NOUN
brj-23713	30	11	processes	process	NOUN
brj-23713	30	12	that	that	PRON
brj-23713	30	13	use	use	VERB
brj-23713	30	14	large	large	ADJ
brj-23713	30	15	amounts	amount	NOUN
brj-23713	30	16	of	of	ADP
brj-23713	30	17	biomass	biomass	NOUN
brj-23713	30	18	and	and	CCONJ
brj-23713	30	19	sought	seek	VERB
brj-23713	30	20	strategies	strategy	NOUN
brj-23713	30	21	to	to	PART
brj-23713	30	22	increase	increase	VERB
brj-23713	30	23	biochar	biochar	NOUN
brj-23713	30	24	production	production	NOUN
brj-23713	30	25	to	to	PART
brj-23713	30	26	meet	meet	VERB
brj-23713	30	27	industrial	industrial	ADJ
brj-23713	30	28	demand	demand	NOUN
brj-23713	30	29	.	.	PUNCT
brj-23713	31	1	while	while	SCONJ
brj-23713	31	2	focusing	focus	VERB
brj-23713	31	3	on	on	ADP
brj-23713	31	4	the	the	DET
brj-23713	31	5	critical	critical	ADJ
brj-23713	31	6	role	role	NOUN
brj-23713	31	7	of	of	ADP
brj-23713	31	8	biochar	biochar	NOUN
brj-23713	31	9	in	in	ADP
brj-23713	31	10	carbon	carbon	NOUN
brj-23713	31	11	capture	capture	NOUN
brj-23713	31	12	and	and	CCONJ
brj-23713	31	13	sequestration	sequestration	NOUN
brj-23713	31	14	,	,	PUNCT
brj-23713	31	15	the	the	DET
brj-23713	31	16	focus	focus	NOUN
brj-23713	31	17	is	be	AUX
brj-23713	31	18	not	not	PART
brj-23713	31	19	just	just	ADV
brj-23713	31	20	on	on	ADP
brj-23713	31	21	maximizing	maximize	VERB
brj-23713	31	22	yield	yield	NOUN
brj-23713	31	23	;	;	PUNCT
brj-23713	31	24	the	the	DET
brj-23713	31	25	carbon	carbon	NOUN
brj-23713	31	26	content	content	NOUN
brj-23713	31	27	of	of	ADP
brj-23713	31	28	biochar	biochar	NOUN
brj-23713	31	29	itself	itself	PRON
brj-23713	31	30	is	be	AUX
brj-23713	31	31	equally	equally	ADV
brj-23713	31	32	important	important	ADJ
brj-23713	31	33	,	,	PUNCT
brj-23713	31	34	underscoring	underscore	VERB
brj-23713	31	35	the	the	DET
brj-23713	31	36	dual	dual	ADJ
brj-23713	31	37	focus	focus	NOUN
brj-23713	31	38	of	of	ADP
brj-23713	31	39	research	research	NOUN
brj-23713	31	40	efforts	effort	NOUN
brj-23713	31	41	(	(	PUNCT
brj-23713	31	42	deng	deng	PROPN
brj-23713	31	43	et	et	PROPN
brj-23713	31	44	al	al	PROPN
brj-23713	31	45	.	.	PROPN
brj-23713	31	46	2024	2024	NUM
brj-23713	31	47	)	)	PUNCT
brj-23713	31	48	.	.	PUNCT
brj-23713	32	1	measuring	measure	VERB
brj-23713	32	2	these	these	DET
brj-23713	32	3	properties	property	NOUN
brj-23713	32	4	with	with	ADP
brj-23713	32	5	traditional	traditional	ADJ
brj-23713	32	6	analytical	analytical	ADJ
brj-23713	32	7	methods	method	NOUN
brj-23713	32	8	proves	prove	VERB
brj-23713	32	9	complex	complex	ADJ
brj-23713	32	10	,	,	PUNCT
brj-23713	32	11	time	time	NOUN
brj-23713	32	12	-	-	PUNCT
brj-23713	32	13	consuming	consume	VERB
brj-23713	32	14	,	,	PUNCT
brj-23713	32	15	and	and	CCONJ
brj-23713	32	16	resource	resource	NOUN
brj-23713	32	17	-	-	PUNCT
brj-23713	32	18	intensive	intensive	ADJ
brj-23713	32	19	.	.	PUNCT
brj-23713	33	1	additionally	additionally	ADV
brj-23713	33	2	,	,	PUNCT
brj-23713	33	3	understanding	understand	VERB
brj-23713	33	4	optimal	optimal	ADJ
brj-23713	33	5	conditions	condition	NOUN
brj-23713	33	6	and	and	CCONJ
brj-23713	33	7	mechanisms	mechanism	NOUN
brj-23713	33	8	for	for	ADP
brj-23713	33	9	biochar	biochar	NOUN
brj-23713	33	10	production	production	NOUN
brj-23713	33	11	and	and	CCONJ
brj-23713	33	12	utilization	utilization	NOUN
brj-23713	33	13	remains	remain	VERB
brj-23713	33	14	elusive	elusive	ADJ
brj-23713	33	15	,	,	PUNCT
brj-23713	33	16	with	with	ADP
brj-23713	33	17	few	few	ADJ
brj-23713	33	18	comprehensive	comprehensive	ADJ
brj-23713	33	19	studies	study	NOUN
brj-23713	33	20	on	on	ADP
brj-23713	33	21	biomass	biomass	NOUN
brj-23713	33	22	characteristics	characteristic	NOUN
brj-23713	33	23	and	and	CCONJ
brj-23713	33	24	process	process	NOUN
brj-23713	33	25	parameters	parameter	NOUN
brj-23713	33	26	'	'	PART
brj-23713	33	27	effects	effect	NOUN
brj-23713	33	28	on	on	ADP
brj-23713	33	29	biochar	biochar	NOUN
brj-23713	33	30	properties	property	NOUN
brj-23713	33	31	.	.	PUNCT
brj-23713	34	1	biomass	biomass	NOUN
brj-23713	34	2	comprises	comprise	NOUN
brj-23713	34	3	cellulose	cellulose	NOUN
brj-23713	34	4	,	,	PUNCT
brj-23713	34	5	hemicellulose	hemicellulose	NOUN
brj-23713	34	6	,	,	PUNCT
brj-23713	34	7	and	and	CCONJ
brj-23713	34	8	lignin	lignin	NOUN
brj-23713	34	9	,	,	PUNCT
brj-23713	34	10	reacting	react	VERB
brj-23713	34	11	differently	differently	ADV
brj-23713	34	12	during	during	ADP
brj-23713	34	13	pyrolysis	pyrolysis	NOUN
brj-23713	34	14	based	base	VERB
brj-23713	34	15	on	on	ADP
brj-23713	34	16	temperature	temperature	NOUN
brj-23713	34	17	and	and	CCONJ
brj-23713	34	18	time	time	NOUN
brj-23713	34	19	(	(	PUNCT
brj-23713	34	20	chen	chen	PROPN
brj-23713	34	21	et	et	PROPN
brj-23713	34	22	al	al	PROPN
brj-23713	34	23	.	.	PROPN
brj-23713	34	24	2022	2022	NUM
brj-23713	34	25	)	)	PUNCT
brj-23713	34	26	.	.	PUNCT
brj-23713	35	1	the	the	DET
brj-23713	35	2	process	process	NOUN
brj-23713	35	3	of	of	ADP
brj-23713	35	4	biomass	biomass	NOUN
brj-23713	35	5	pyrolysis	pyrolysis	NOUN
brj-23713	35	6	encompasses	encompass	VERB
brj-23713	35	7	intricate	intricate	ADJ
brj-23713	35	8	transformations	transformation	NOUN
brj-23713	35	9	,	,	PUNCT
brj-23713	35	10	both	both	CCONJ
brj-23713	35	11	chemical	chemical	NOUN
brj-23713	35	12	and	and	CCONJ
brj-23713	35	13	physical	physical	ADJ
brj-23713	35	14	,	,	PUNCT
brj-23713	35	15	including	include	VERB
brj-23713	35	16	dehydration	dehydration	NOUN
brj-23713	35	17	and	and	CCONJ
brj-23713	35	18	depolymerization	depolymerization	NOUN
brj-23713	35	19	,	,	PUNCT
brj-23713	35	20	which	which	PRON
brj-23713	35	21	significantly	significantly	ADV
brj-23713	35	22	mold	mold	VERB
brj-23713	35	23	the	the	DET
brj-23713	35	24	biochar	biochar	NOUN
brj-23713	35	25	's	's	PART
brj-23713	35	26	characteristics	characteristic	NOUN
brj-23713	35	27	,	,	PUNCT
brj-23713	35	28	notably	notably	ADV
brj-23713	35	29	its	its	PRON
brj-23713	35	30	elemental	elemental	ADJ
brj-23713	35	31	composition	composition	NOUN
brj-23713	35	32	and	and	CCONJ
brj-23713	35	33	ph	ph	NOUN
brj-23713	35	34	(	(	PUNCT
brj-23713	35	35	vuppaladadiyam	vuppaladadiyam	NOUN
brj-23713	35	36	et	et	PROPN
brj-23713	35	37	al	al	PROPN
brj-23713	35	38	.	.	PROPN
brj-23713	35	39	2023	2023	NUM
brj-23713	35	40	)	)	PUNCT
brj-23713	35	41	.	.	PUNCT
brj-23713	36	1	nonetheless	nonetheless	ADV
brj-23713	36	2	,	,	PUNCT
brj-23713	36	3	deciphering	decipher	VERB
brj-23713	36	4	the	the	DET
brj-23713	36	5	complexity	complexity	NOUN
brj-23713	36	6	of	of	ADP
brj-23713	36	7	biomass	biomass	NOUN
brj-23713	36	8	pyrolysis	pyrolysis	NOUN
brj-23713	36	9	remains	remain	VERB
brj-23713	36	10	a	a	DET
brj-23713	36	11	formidable	formidable	ADJ
brj-23713	36	12	task	task	NOUN
brj-23713	36	13	,	,	PUNCT
brj-23713	36	14	owing	owe	VERB
brj-23713	36	15	to	to	ADP
brj-23713	36	16	the	the	DET
brj-23713	36	17	intricate	intricate	ADJ
brj-23713	36	18	,	,	PUNCT
brj-23713	36	19	non	non	ADJ
brj-23713	36	20	-	-	ADJ
brj-23713	36	21	linear	linear	ADJ
brj-23713	36	22	correlations	correlation	NOUN
brj-23713	36	23	that	that	PRON
brj-23713	36	24	exist	exist	VERB
brj-23713	36	25	between	between	ADP
brj-23713	36	26	the	the	DET
brj-23713	36	27	inherent	inherent	ADJ
brj-23713	36	28	qualities	quality	NOUN
brj-23713	36	29	of	of	ADP
brj-23713	36	30	the	the	DET
brj-23713	36	31	biomass	biomass	NOUN
brj-23713	36	32	and	and	CCONJ
brj-23713	36	33	the	the	DET
brj-23713	36	34	resultant	resultant	NOUN
brj-23713	36	35	biochar	biochar	NOUN
brj-23713	36	36	characteristics	characteristic	NOUN
brj-23713	36	37	.	.	PUNCT
brj-23713	37	1	current	current	ADJ
brj-23713	37	2	biomass	biomass	NOUN
brj-23713	37	3	pyrolysis	pyrolysis	NOUN
brj-23713	37	4	models	model	NOUN
brj-23713	37	5	lack	lack	VERB
brj-23713	37	6	reliability	reliability	NOUN
brj-23713	37	7	and	and	CCONJ
brj-23713	37	8	generalizability	generalizability	NOUN
brj-23713	37	9	due	due	ADP
brj-23713	37	10	to	to	ADP
brj-23713	37	11	limited	limited	ADJ
brj-23713	37	12	experimental	experimental	ADJ
brj-23713	37	13	data	datum	NOUN
brj-23713	37	14	.	.	PUNCT
brj-23713	38	1	consequently	consequently	ADV
brj-23713	38	2	,	,	PUNCT
brj-23713	38	3	employing	employ	VERB
brj-23713	38	4	big	big	ADJ
brj-23713	38	5	data	datum	NOUN
brj-23713	38	6	analytics	analytic	NOUN
brj-23713	38	7	,	,	PUNCT
brj-23713	38	8	machine	machine	NOUN
brj-23713	38	9	learning	learning	NOUN
brj-23713	38	10	algorithms	algorithm	NOUN
brj-23713	38	11	,	,	PUNCT
brj-23713	38	12	and	and	CCONJ
brj-23713	38	13	data	datum	NOUN
brj-23713	38	14	mining	mining	NOUN
brj-23713	38	15	techniques	technique	NOUN
brj-23713	38	16	to	to	PART
brj-23713	38	17	scrutinize	scrutinize	VERB
brj-23713	38	18	the	the	DET
brj-23713	38	19	pyrolysis	pyrolysis	NOUN
brj-23713	38	20	behavior	behavior	NOUN
brj-23713	38	21	of	of	ADP
brj-23713	38	22	materials	material	NOUN
brj-23713	38	23	,	,	PUNCT
brj-23713	38	24	in	in	ADP
brj-23713	38	25	conjunction	conjunction	NOUN
brj-23713	38	26	with	with	ADP
brj-23713	38	27	a	a	DET
brj-23713	38	28	thorough	thorough	ADJ
brj-23713	38	29	examination	examination	NOUN
brj-23713	38	30	of	of	ADP
brj-23713	38	31	the	the	DET
brj-23713	38	32	original	original	ADJ
brj-23713	38	33	feedstock	feedstock	NOUN
brj-23713	38	34	attributes	attribute	NOUN
brj-23713	38	35	and	and	CCONJ
brj-23713	38	36	pyrolysis	pyrolysis	NOUN
brj-23713	38	37	parameters	parameter	NOUN
brj-23713	38	38	,	,	PUNCT
brj-23713	38	39	is	be	AUX
brj-23713	38	40	vital	vital	ADJ
brj-23713	38	41	for	for	ADP
brj-23713	38	42	conducting	conduct	VERB
brj-23713	38	43	a	a	DET
brj-23713	38	44	comprehensive	comprehensive	ADJ
brj-23713	38	45	evaluation	evaluation	NOUN
brj-23713	38	46	of	of	ADP
brj-23713	38	47	how	how	SCONJ
brj-23713	38	48	these	these	DET
brj-23713	38	49	variables	variable	NOUN
brj-23713	38	50	collectively	collectively	ADV
brj-23713	38	51	impact	impact	VERB
brj-23713	38	52	biochar	biochar	NOUN
brj-23713	38	53	output	output	NOUN
brj-23713	38	54	and	and	CCONJ
brj-23713	38	55	elemental	elemental	ADJ
brj-23713	38	56	composition	composition	NOUN
brj-23713	38	57	(	(	PUNCT
brj-23713	38	58	zhu	zhu	X
brj-23713	38	59	et	et	PROPN
brj-23713	38	60	al	al	PROPN
brj-23713	38	61	.	.	PROPN
brj-23713	38	62	2019	2019	NUM
brj-23713	38	63	)	)	PUNCT
brj-23713	38	64	.	.	PUNCT
brj-23713	39	1	machine	machine	NOUN
brj-23713	39	2	learning	learning	NOUN
brj-23713	39	3	is	be	AUX
brj-23713	39	4	capable	capable	ADJ
brj-23713	39	5	of	of	ADP
brj-23713	39	6	finding	find	VERB
brj-23713	39	7	patterns	pattern	NOUN
brj-23713	39	8	and	and	CCONJ
brj-23713	39	9	extracting	extract	VERB
brj-23713	39	10	insights	insight	NOUN
brj-23713	39	11	from	from	ADP
brj-23713	39	12	large	large	ADJ
brj-23713	39	13	data	datum	NOUN
brj-23713	39	14	sets	set	NOUN
brj-23713	39	15	.	.	PUNCT
brj-23713	40	1	by	by	ADP
brj-23713	40	2	using	use	VERB
brj-23713	40	3	historical	historical	ADJ
brj-23713	40	4	data	datum	NOUN
brj-23713	40	5	on	on	ADP
brj-23713	40	6	feedstock	feedstock	NOUN
brj-23713	40	7	properties	property	NOUN
brj-23713	40	8	,	,	PUNCT
brj-23713	40	9	process	process	NOUN
brj-23713	40	10	conditions	condition	NOUN
brj-23713	40	11	,	,	PUNCT
brj-23713	40	12	and	and	CCONJ
brj-23713	40	13	properties	property	NOUN
brj-23713	40	14	of	of	ADP
brj-23713	40	15	the	the	DET
brj-23713	40	16	resulting	result	VERB
brj-23713	40	17	biochar	biochar	NOUN
brj-23713	40	18	,	,	PUNCT
brj-23713	40	19	machine	machine	NOUN
brj-23713	40	20	learning	learning	NOUN
brj-23713	40	21	models	model	NOUN
brj-23713	40	22	can	can	AUX
brj-23713	40	23	learn	learn	VERB
brj-23713	40	24	and	and	CCONJ
brj-23713	40	25	predict	predict	VERB
brj-23713	40	26	how	how	SCONJ
brj-23713	40	27	changes	change	NOUN
brj-23713	40	28	in	in	ADP
brj-23713	40	29	input	input	NOUN
brj-23713	40	30	parameters	parameter	NOUN
brj-23713	40	31	affect	affect	VERB
brj-23713	40	32	output	output	NOUN
brj-23713	40	33	metrics	metric	NOUN
brj-23713	40	34	.	.	PUNCT
brj-23713	41	1	this	this	PRON
brj-23713	41	2	not	not	PART
brj-23713	41	3	only	only	ADV
brj-23713	41	4	deepens	deepen	VERB
brj-23713	41	5	our	our	PRON
brj-23713	41	6	understanding	understanding	NOUN
brj-23713	41	7	of	of	ADP
brj-23713	41	8	the	the	DET
brj-23713	41	9	basic	basic	ADJ
brj-23713	41	10	mechanisms	mechanism	NOUN
brj-23713	41	11	of	of	ADP
brj-23713	41	12	biochar	biochar	NOUN
brj-23713	41	13	production	production	NOUN
brj-23713	41	14	,	,	PUNCT
brj-23713	41	15	but	but	CCONJ
brj-23713	41	16	also	also	ADV
brj-23713	41	17	empowers	empower	VERB
brj-23713	41	18	stakeholders	stakeholder	NOUN
brj-23713	41	19	to	to	PART
brj-23713	41	20	optimize	optimize	VERB
brj-23713	41	21	processes	process	NOUN
brj-23713	41	22	,	,	PUNCT
brj-23713	41	23	thereby	thereby	ADV
brj-23713	41	24	increasing	increase	VERB
brj-23713	41	25	efficiency	efficiency	NOUN
brj-23713	41	26	and	and	CCONJ
brj-23713	41	27	reducing	reduce	VERB
brj-23713	41	28	costs	cost	NOUN
brj-23713	41	29	.	.	PUNCT
brj-23713	42	1	rf	rf	PRON
brj-23713	42	2	and	and	CCONJ
brj-23713	42	3	xgboost	xgboost	ADV
brj-23713	42	4	both	both	PRON
brj-23713	42	5	fall	fall	VERB
brj-23713	42	6	within	within	ADP
brj-23713	42	7	the	the	DET
brj-23713	42	8	realm	realm	NOUN
brj-23713	42	9	of	of	ADP
brj-23713	42	10	ensemble	ensemble	ADJ
brj-23713	42	11	learning	learning	NOUN
brj-23713	42	12	,	,	PUNCT
brj-23713	42	13	which	which	PRON
brj-23713	42	14	enhances	enhance	VERB
brj-23713	42	15	the	the	DET
brj-23713	42	16	generalization	generalization	NOUN
brj-23713	42	17	and	and	CCONJ
brj-23713	42	18	robustness	robustness	NOUN
brj-23713	42	19	of	of	ADP
brj-23713	42	20	a	a	DET
brj-23713	42	21	solitary	solitary	ADJ
brj-23713	42	22	learner	learner	NOUN
brj-23713	42	23	by	by	ADP
brj-23713	42	24	integrating	integrate	VERB
brj-23713	42	25	the	the	DET
brj-23713	42	26	predictions	prediction	NOUN
brj-23713	42	27	of	of	ADP
brj-23713	42	28	multiple	multiple	ADJ
brj-23713	42	29	base	base	NOUN
brj-23713	42	30	learners	learner	NOUN
brj-23713	42	31	for	for	ADP
brj-23713	42	32	predicting	predict	VERB
brj-23713	42	33	complex	complex	ADJ
brj-23713	42	34	nonlinear	nonlinear	ADJ
brj-23713	42	35	targets	target	NOUN
brj-23713	42	36	in	in	ADP
brj-23713	42	37	engineering	engineering	NOUN
brj-23713	42	38	.	.	PUNCT
brj-23713	43	1	although	although	SCONJ
brj-23713	43	2	rf	rf	PRON
brj-23713	43	3	is	be	AUX
brj-23713	43	4	more	more	ADV
brj-23713	43	5	frequently	frequently	ADV
brj-23713	43	6	used	use	VERB
brj-23713	43	7	to	to	PART
brj-23713	43	8	simulate	simulate	VERB
brj-23713	43	9	pyrolysis	pyrolysis	NOUN
brj-23713	43	10	,	,	PUNCT
brj-23713	43	11	xgboost	xgboost	X
brj-23713	43	12	has	have	VERB
brj-23713	43	13	higher	high	ADJ
brj-23713	43	14	efficiency	efficiency	NOUN
brj-23713	43	15	and	and	CCONJ
brj-23713	43	16	could	could	AUX
brj-23713	43	17	reduce	reduce	VERB
brj-23713	43	18	over	over	ADV
brj-23713	43	19	-	-	PUNCT
brj-23713	43	20	fitting	fit	VERB
brj-23713	43	21	(	(	PUNCT
brj-23713	43	22	cruz	cruz	PROPN
brj-23713	43	23	et	et	PROPN
brj-23713	43	24	al	al	PROPN
brj-23713	43	25	.	.	PROPN
brj-23713	43	26	2022	2022	NUM
brj-23713	43	27	;	;	PUNCT
brj-23713	43	28	yang	yang	PROPN
brj-23713	43	29	et	et	PROPN
brj-23713	43	30	al	al	PROPN
brj-23713	43	31	.	.	PROPN
brj-23713	43	32	2023	2023	NUM
brj-23713	43	33	)	)	PUNCT
brj-23713	43	34	.	.	PUNCT
brj-23713	44	1	peer	peer	NOUN
brj-23713	44	2	-	-	PUNCT
brj-23713	44	3	reviewed	review	VERB
brj-23713	44	4	article	article	NOUN
brj-23713	44	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	44	6	xu	xu	PROPN
brj-23713	44	7	et	et	PROPN
brj-23713	44	8	al	al	PROPN
brj-23713	44	9	.	.	PROPN
brj-23713	44	10	(	(	PUNCT
brj-23713	44	11	2024	2024	NUM
brj-23713	44	12	)	)	PUNCT
brj-23713	44	13	.	.	PUNCT
brj-23713	45	1	“	"	PUNCT
brj-23713	45	2	machine	machine	NOUN
brj-23713	45	3	learning	learning	NOUN
brj-23713	45	4	for	for	ADP
brj-23713	45	5	biochar	biochar	NOUN
brj-23713	45	6	,	,	PUNCT
brj-23713	45	7	”	"	PUNCT
brj-23713	45	8	bioresources	bioresource	NOUN
brj-23713	45	9	19(3	19(3	NUM
brj-23713	45	10	)	)	PUNCT
brj-23713	45	11	,	,	PUNCT
brj-23713	45	12	6545	6545	NUM
brj-23713	45	13	-	-	SYM
brj-23713	45	14	6558	6558	NUM
brj-23713	45	15	.	.	PUNCT
brj-23713	46	1	6547	6547	NUM
brj-23713	46	2	the	the	DET
brj-23713	46	3	yield	yield	NOUN
brj-23713	46	4	of	of	ADP
brj-23713	46	5	biochar	biochar	NOUN
brj-23713	46	6	helps	help	VERB
brj-23713	46	7	to	to	PART
brj-23713	46	8	assess	assess	VERB
brj-23713	46	9	the	the	DET
brj-23713	46	10	commercial	commercial	ADJ
brj-23713	46	11	practicality	practicality	NOUN
brj-23713	46	12	and	and	CCONJ
brj-23713	46	13	scalability	scalability	NOUN
brj-23713	46	14	of	of	ADP
brj-23713	46	15	the	the	DET
brj-23713	46	16	manufacturing	manufacturing	NOUN
brj-23713	46	17	process	process	NOUN
brj-23713	46	18	,	,	PUNCT
brj-23713	46	19	and	and	CCONJ
brj-23713	46	20	the	the	DET
brj-23713	46	21	carbon	carbon	NOUN
brj-23713	46	22	content	content	NOUN
brj-23713	46	23	is	be	AUX
brj-23713	46	24	closely	closely	ADV
brj-23713	46	25	related	relate	VERB
brj-23713	46	26	to	to	ADP
brj-23713	46	27	the	the	DET
brj-23713	46	28	carbon	carbon	NOUN
brj-23713	46	29	capture	capture	NOUN
brj-23713	46	30	capacity	capacity	NOUN
brj-23713	46	31	of	of	ADP
brj-23713	46	32	the	the	DET
brj-23713	46	33	material	material	NOUN
brj-23713	46	34	and	and	CCONJ
brj-23713	46	35	its	its	PRON
brj-23713	46	36	continuous	continuous	ADJ
brj-23713	46	37	enhancement	enhancement	NOUN
brj-23713	46	38	of	of	ADP
brj-23713	46	39	soil	soil	NOUN
brj-23713	46	40	health	health	NOUN
brj-23713	46	41	over	over	ADP
brj-23713	46	42	time	time	NOUN
brj-23713	46	43	.	.	PUNCT
brj-23713	47	1	in	in	ADP
brj-23713	47	2	this	this	DET
brj-23713	47	3	study	study	NOUN
brj-23713	47	4	,	,	PUNCT
brj-23713	47	5	two	two	NUM
brj-23713	47	6	advanced	advanced	ADJ
brj-23713	47	7	machine	machine	NOUN
brj-23713	47	8	learning	learn	VERB
brj-23713	47	9	algorithms	algorithm	NOUN
brj-23713	47	10	,	,	PUNCT
brj-23713	47	11	rf	rf	NOUN
brj-23713	47	12	and	and	CCONJ
brj-23713	47	13	xgboost	xgboost	ADV
brj-23713	47	14	,	,	PUNCT
brj-23713	47	15	were	be	AUX
brj-23713	47	16	used	use	VERB
brj-23713	47	17	to	to	PART
brj-23713	47	18	verify	verify	VERB
brj-23713	47	19	their	their	PRON
brj-23713	47	20	efficacy	efficacy	NOUN
brj-23713	47	21	in	in	ADP
brj-23713	47	22	predicting	predict	VERB
brj-23713	47	23	biochar	biochar	NOUN
brj-23713	47	24	yield	yield	NOUN
brj-23713	47	25	and	and	CCONJ
brj-23713	47	26	carbon	carbon	NOUN
brj-23713	47	27	content	content	NOUN
brj-23713	47	28	and	and	CCONJ
brj-23713	47	29	to	to	PART
brj-23713	47	30	explore	explore	VERB
brj-23713	47	31	the	the	DET
brj-23713	47	32	different	different	ADJ
brj-23713	47	33	significance	significance	NOUN
brj-23713	47	34	of	of	ADP
brj-23713	47	35	factors	factor	NOUN
brj-23713	47	36	such	such	ADJ
brj-23713	47	37	as	as	ADP
brj-23713	47	38	raw	raw	ADJ
brj-23713	47	39	material	material	NOUN
brj-23713	47	40	properties	property	NOUN
brj-23713	47	41	and	and	CCONJ
brj-23713	47	42	pyrolysis	pyrolysis	NOUN
brj-23713	47	43	environment	environment	NOUN
brj-23713	47	44	during	during	ADP
brj-23713	47	45	pyrolysis	pyrolysis	NOUN
brj-23713	47	46	.	.	PUNCT
brj-23713	48	1	with	with	ADP
brj-23713	48	2	the	the	DET
brj-23713	48	3	xgboost	xgboost	PROPN
brj-23713	48	4	model	model	NOUN
brj-23713	48	5	providing	provide	VERB
brj-23713	48	6	accurate	accurate	ADJ
brj-23713	48	7	predictions	prediction	NOUN
brj-23713	48	8	and	and	CCONJ
brj-23713	48	9	revealing	reveal	VERB
brj-23713	48	10	new	new	ADJ
brj-23713	48	11	perspectives	perspective	NOUN
brj-23713	48	12	behind	behind	ADP
brj-23713	48	13	those	those	DET
brj-23713	48	14	predictions	prediction	NOUN
brj-23713	48	15	,	,	PUNCT
brj-23713	48	16	this	this	DET
brj-23713	48	17	study	study	NOUN
brj-23713	48	18	provides	provide	VERB
brj-23713	48	19	a	a	DET
brj-23713	48	20	comprehensive	comprehensive	ADJ
brj-23713	48	21	understanding	understanding	NOUN
brj-23713	48	22	of	of	ADP
brj-23713	48	23	biochar	biochar	NOUN
brj-23713	48	24	production	production	NOUN
brj-23713	48	25	through	through	ADP
brj-23713	48	26	biomass	biomass	NOUN
brj-23713	48	27	pyrolysis	pyrolysis	NOUN
brj-23713	48	28	,	,	PUNCT
brj-23713	48	29	thereby	thereby	ADV
brj-23713	48	30	providing	provide	VERB
brj-23713	48	31	engineers	engineer	NOUN
brj-23713	48	32	with	with	ADP
brj-23713	48	33	strategic	strategic	ADJ
brj-23713	48	34	directions	direction	NOUN
brj-23713	48	35	for	for	ADP
brj-23713	48	36	optimizing	optimize	VERB
brj-23713	48	37	biochar	biochar	NOUN
brj-23713	48	38	yield	yield	NOUN
brj-23713	48	39	or	or	CCONJ
brj-23713	48	40	its	its	PRON
brj-23713	48	41	carbon	carbon	NOUN
brj-23713	48	42	enrichment	enrichment	NOUN
brj-23713	48	43	.	.	PUNCT
brj-23713	49	1	materials	material	NOUN
brj-23713	49	2	and	and	CCONJ
brj-23713	49	3	methods	method	NOUN
brj-23713	49	4	data	datum	NOUN
brj-23713	49	5	collection	collection	NOUN
brj-23713	49	6	and	and	CCONJ
brj-23713	49	7	preprocessing	preprocessing	NOUN
brj-23713	49	8	during	during	ADP
brj-23713	49	9	data	datum	NOUN
brj-23713	49	10	collection	collection	NOUN
brj-23713	49	11	and	and	CCONJ
brj-23713	49	12	preprocessing	preprocessing	NOUN
brj-23713	49	13	,	,	PUNCT
brj-23713	49	14	searches	search	NOUN
brj-23713	49	15	were	be	AUX
brj-23713	49	16	conducted	conduct	VERB
brj-23713	49	17	on	on	ADP
brj-23713	49	18	web	web	NOUN
brj-23713	49	19	of	of	ADP
brj-23713	49	20	sciences	science	NOUN
brj-23713	49	21	using	use	VERB
brj-23713	49	22	the	the	DET
brj-23713	49	23	keywords	keyword	NOUN
brj-23713	49	24	“	"	PUNCT
brj-23713	49	25	biochar	biochar	NOUN
brj-23713	49	26	”	"	PUNCT
brj-23713	49	27	and	and	CCONJ
brj-23713	49	28	“	"	PUNCT
brj-23713	49	29	pyrolysis	pyrolysis	NOUN
brj-23713	49	30	”	"	PUNCT
brj-23713	49	31	.	.	PUNCT
brj-23713	50	1	this	this	DET
brj-23713	50	2	extensive	extensive	ADJ
brj-23713	50	3	exploration	exploration	NOUN
brj-23713	50	4	led	lead	VERB
brj-23713	50	5	to	to	ADP
brj-23713	50	6	the	the	DET
brj-23713	50	7	assembly	assembly	NOUN
brj-23713	50	8	of	of	ADP
brj-23713	50	9	355	355	NUM
brj-23713	50	10	different	different	ADJ
brj-23713	50	11	datasets	dataset	NOUN
brj-23713	50	12	from	from	ADP
brj-23713	50	13	a	a	DET
brj-23713	50	14	compilation	compilation	NOUN
brj-23713	50	15	of	of	ADP
brj-23713	50	16	23	23	NUM
brj-23713	50	17	academic	academic	ADJ
brj-23713	50	18	publications	publication	NOUN
brj-23713	50	19	that	that	PRON
brj-23713	50	20	are	be	AUX
brj-23713	50	21	the	the	DET
brj-23713	50	22	basis	basis	NOUN
brj-23713	50	23	for	for	ADP
brj-23713	50	24	building	build	VERB
brj-23713	50	25	our	our	PRON
brj-23713	50	26	data	datum	NOUN
brj-23713	50	27	-	-	PUNCT
brj-23713	50	28	intensive	intensive	ADJ
brj-23713	50	29	predictive	predictive	ADJ
brj-23713	50	30	model	model	NOUN
brj-23713	50	31	,	,	PUNCT
brj-23713	50	32	summarized	summarize	VERB
brj-23713	50	33	in	in	ADP
brj-23713	50	34	“	"	PUNCT
brj-23713	50	35	supplementary	supplementary	ADJ
brj-23713	50	36	materials	material	NOUN
brj-23713	50	37	”	"	PUNCT
brj-23713	50	38	.	.	PUNCT
brj-23713	51	1	to	to	PART
brj-23713	51	2	ensure	ensure	VERB
brj-23713	51	3	broad	broad	ADJ
brj-23713	51	4	applicability	applicability	NOUN
brj-23713	51	5	,	,	PUNCT
brj-23713	51	6	the	the	DET
brj-23713	51	7	analysis	analysis	NOUN
brj-23713	51	8	encompassed	encompass	VERB
brj-23713	51	9	a	a	DET
brj-23713	51	10	range	range	NOUN
brj-23713	51	11	of	of	ADP
brj-23713	51	12	biochar	biochar	NOUN
brj-23713	51	13	attributes	attribute	NOUN
brj-23713	51	14	,	,	PUNCT
brj-23713	51	15	specifically	specifically	ADV
brj-23713	51	16	:	:	PUNCT
brj-23713	51	17	(	(	PUNCT
brj-23713	51	18	1	1	X
brj-23713	51	19	)	)	PUNCT
brj-23713	51	20	elemental	elemental	ADJ
brj-23713	51	21	composition	composition	NOUN
brj-23713	51	22	comprising	comprising	NOUN
brj-23713	51	23	carbon	carbon	NOUN
brj-23713	51	24	(	(	PUNCT
brj-23713	51	25	c	c	NOUN
brj-23713	51	26	)	)	PUNCT
brj-23713	51	27	,	,	PUNCT
brj-23713	51	28	hydrogen	hydrogen	NOUN
brj-23713	51	29	(	(	PUNCT
brj-23713	51	30	h	h	NOUN
brj-23713	51	31	)	)	PUNCT
brj-23713	51	32	,	,	PUNCT
brj-23713	51	33	oxygen	oxygen	NOUN
brj-23713	51	34	(	(	PUNCT
brj-23713	51	35	o	o	NOUN
brj-23713	51	36	)	)	PUNCT
brj-23713	51	37	,	,	PUNCT
brj-23713	51	38	nitrogen	nitrogen	NOUN
brj-23713	51	39	(	(	PUNCT
brj-23713	51	40	n	n	CCONJ
brj-23713	51	41	)	)	PUNCT
brj-23713	51	42	,	,	PUNCT
brj-23713	51	43	sulfur	sulfur	NOUN
brj-23713	51	44	(	(	PUNCT
brj-23713	51	45	s	s	NOUN
brj-23713	51	46	)	)	PUNCT
brj-23713	51	47	,	,	PUNCT
brj-23713	51	48	fixed	fix	VERB
brj-23713	51	49	carbon	carbon	NOUN
brj-23713	51	50	(	(	PUNCT
brj-23713	51	51	fc	fc	INTJ
brj-23713	51	52	)	)	PUNCT
brj-23713	51	53	,	,	PUNCT
brj-23713	51	54	volatile	volatile	ADJ
brj-23713	51	55	matter	matter	NOUN
brj-23713	51	56	(	(	PUNCT
brj-23713	51	57	vm	vm	NOUN
brj-23713	51	58	)	)	PUNCT
brj-23713	51	59	,	,	PUNCT
brj-23713	51	60	and	and	CCONJ
brj-23713	51	61	ash	ash	NOUN
brj-23713	51	62	content	content	NOUN
brj-23713	51	63	.	.	PUNCT
brj-23713	52	1	;	;	PUNCT
brj-23713	52	2	(	(	PUNCT
brj-23713	52	3	2	2	X
brj-23713	52	4	)	)	PUNCT
brj-23713	52	5	lignocellulosic	lignocellulosic	ADJ
brj-23713	52	6	composition	composition	NOUN
brj-23713	52	7	,	,	PUNCT
brj-23713	52	8	including	include	VERB
brj-23713	52	9	cellulose	cellulose	NOUN
brj-23713	52	10	(	(	PUNCT
brj-23713	52	11	cl	cl	NOUN
brj-23713	52	12	)	)	PUNCT
brj-23713	52	13	,	,	PUNCT
brj-23713	52	14	hemicellulose	hemicellulose	NOUN
brj-23713	52	15	(	(	PUNCT
brj-23713	52	16	hc	hc	NOUN
brj-23713	52	17	)	)	PUNCT
brj-23713	52	18	,	,	PUNCT
brj-23713	52	19	and	and	CCONJ
brj-23713	52	20	lignin	lignin	NOUN
brj-23713	52	21	(	(	PUNCT
brj-23713	52	22	lg	lg	NOUN
brj-23713	52	23	)	)	PUNCT
brj-23713	52	24	;	;	PUNCT
brj-23713	52	25	(	(	PUNCT
brj-23713	52	26	3	3	X
brj-23713	52	27	)	)	PUNCT
brj-23713	52	28	characteristics	characteristic	NOUN
brj-23713	52	29	of	of	ADP
brj-23713	52	30	the	the	DET
brj-23713	52	31	biomass	biomass	NOUN
brj-23713	52	32	feedstock	feedstock	NOUN
brj-23713	52	33	,	,	PUNCT
brj-23713	52	34	such	such	ADJ
brj-23713	52	35	as	as	ADP
brj-23713	52	36	type	type	NOUN
brj-23713	52	37	and	and	CCONJ
brj-23713	52	38	sample	sample	NOUN
brj-23713	52	39	mass	mass	NOUN
brj-23713	52	40	(	(	PUNCT
brj-23713	52	41	sm	sm	PROPN
brj-23713	52	42	)	)	PUNCT
brj-23713	52	43	;	;	PUNCT
brj-23713	52	44	(	(	PUNCT
brj-23713	52	45	4	4	X
brj-23713	52	46	)	)	PUNCT
brj-23713	52	47	pyrolysis	pyrolysis	NOUN
brj-23713	52	48	operational	operational	ADJ
brj-23713	52	49	parameters	parameter	NOUN
brj-23713	52	50	,	,	PUNCT
brj-23713	52	51	namely	namely	ADV
brj-23713	52	52	reaction	reaction	NOUN
brj-23713	52	53	temperature	temperature	NOUN
brj-23713	52	54	(	(	PUNCT
brj-23713	52	55	temp	temp	NOUN
brj-23713	52	56	)	)	PUNCT
brj-23713	52	57	,	,	PUNCT
brj-23713	52	58	residence	residence	NOUN
brj-23713	52	59	time	time	NOUN
brj-23713	52	60	(	(	PUNCT
brj-23713	52	61	rt	rt	NOUN
brj-23713	52	62	)	)	PUNCT
brj-23713	52	63	,	,	PUNCT
brj-23713	52	64	and	and	CCONJ
brj-23713	52	65	heating	heating	NOUN
brj-23713	52	66	rate	rate	NOUN
brj-23713	52	67	(	(	PUNCT
brj-23713	52	68	hr	hr	NOUN
brj-23713	52	69	)	)	PUNCT
brj-23713	52	70	;	;	PUNCT
brj-23713	52	71	(	(	PUNCT
brj-23713	52	72	5	5	X
brj-23713	52	73	)	)	PUNCT
brj-23713	52	74	yield	yield	NOUN
brj-23713	52	75	of	of	ADP
brj-23713	52	76	the	the	DET
brj-23713	52	77	resulting	result	VERB
brj-23713	52	78	biochar	biochar	NOUN
brj-23713	52	79	and	and	CCONJ
brj-23713	52	80	its	its	PRON
brj-23713	52	81	higher	high	ADJ
brj-23713	52	82	heating	heating	NOUN
brj-23713	52	83	value	value	NOUN
brj-23713	52	84	(	(	PUNCT
brj-23713	52	85	hhv	hhv	NOUN
brj-23713	52	86	)	)	PUNCT
brj-23713	52	87	.	.	PUNCT
brj-23713	53	1	however	however	ADV
brj-23713	53	2	,	,	PUNCT
brj-23713	53	3	certain	certain	ADJ
brj-23713	53	4	variables	variable	NOUN
brj-23713	53	5	were	be	AUX
brj-23713	53	6	deliberately	deliberately	ADV
brj-23713	53	7	excluded	exclude	VERB
brj-23713	53	8	from	from	ADP
brj-23713	53	9	the	the	DET
brj-23713	53	10	machine	machine	NOUN
brj-23713	53	11	learning	learning	NOUN
brj-23713	53	12	model	model	NOUN
brj-23713	53	13	.	.	PUNCT
brj-23713	54	1	these	these	DET
brj-23713	54	2	variables	variable	NOUN
brj-23713	54	3	had	have	VERB
brj-23713	54	4	minimal	minimal	ADJ
brj-23713	54	5	impact	impact	NOUN
brj-23713	54	6	on	on	ADP
brj-23713	54	7	the	the	DET
brj-23713	54	8	torrefaction	torrefaction	NOUN
brj-23713	54	9	process	process	NOUN
brj-23713	54	10	and	and	CCONJ
brj-23713	54	11	including	include	VERB
brj-23713	54	12	them	they	PRON
brj-23713	54	13	would	would	AUX
brj-23713	54	14	unduly	unduly	ADV
brj-23713	54	15	complicate	complicate	VERB
brj-23713	54	16	the	the	DET
brj-23713	54	17	model	model	NOUN
brj-23713	54	18	structure	structure	NOUN
brj-23713	54	19	and	and	CCONJ
brj-23713	54	20	elevate	elevate	VERB
brj-23713	54	21	computational	computational	ADJ
brj-23713	54	22	challenges	challenge	NOUN
brj-23713	54	23	without	without	ADP
brj-23713	54	24	significant	significant	ADJ
brj-23713	54	25	benefit	benefit	NOUN
brj-23713	54	26	.	.	PUNCT
brj-23713	55	1	in	in	ADP
brj-23713	55	2	instances	instance	NOUN
brj-23713	55	3	where	where	SCONJ
brj-23713	55	4	data	datum	NOUN
brj-23713	55	5	availability	availability	NOUN
brj-23713	55	6	ranged	range	VERB
brj-23713	55	7	from	from	ADP
brj-23713	55	8	over	over	ADP
brj-23713	55	9	80	80	NUM
brj-23713	55	10	%	%	NOUN
brj-23713	55	11	to	to	ADP
brj-23713	55	12	below	below	ADP
brj-23713	55	13	100	100	NUM
brj-23713	55	14	%	%	NOUN
brj-23713	55	15	for	for	ADP
brj-23713	55	16	both	both	DET
brj-23713	55	17	inputs	input	NOUN
brj-23713	55	18	and	and	CCONJ
brj-23713	55	19	outputs	output	NOUN
brj-23713	55	20	,	,	PUNCT
brj-23713	55	21	the	the	DET
brj-23713	55	22	missing	missing	ADJ
brj-23713	55	23	entries	entry	NOUN
brj-23713	55	24	were	be	AUX
brj-23713	55	25	supplanted	supplant	VERB
brj-23713	55	26	with	with	ADP
brj-23713	55	27	the	the	DET
brj-23713	55	28	average	average	ADJ
brj-23713	55	29	values	value	NOUN
brj-23713	55	30	pertinent	pertinent	ADJ
brj-23713	55	31	to	to	ADP
brj-23713	55	32	each	each	DET
brj-23713	55	33	respective	respective	ADJ
brj-23713	55	34	variable	variable	NOUN
brj-23713	55	35	.	.	PUNCT
brj-23713	56	1	consequently	consequently	ADV
brj-23713	56	2	,	,	PUNCT
brj-23713	56	3	the	the	DET
brj-23713	56	4	refined	refine	VERB
brj-23713	56	5	dataset	dataset	NOUN
brj-23713	56	6	employed	employ	VERB
brj-23713	56	7	for	for	ADP
brj-23713	56	8	model	model	NOUN
brj-23713	56	9	development	development	NOUN
brj-23713	56	10	comprised	comprise	VERB
brj-23713	56	11	15	15	NUM
brj-23713	56	12	predictor	predictor	NOUN
brj-23713	56	13	variables	variable	NOUN
brj-23713	56	14	—	—	PUNCT
brj-23713	56	15	pertaining	pertain	VERB
brj-23713	56	16	to	to	ADP
brj-23713	56	17	the	the	DET
brj-23713	56	18	composition	composition	NOUN
brj-23713	56	19	of	of	ADP
brj-23713	56	20	biomass	biomass	NOUN
brj-23713	56	21	feedstock	feedstock	NOUN
brj-23713	56	22	and	and	CCONJ
brj-23713	56	23	pyrolysis	pyrolysis	NOUN
brj-23713	56	24	conditions	condition	NOUN
brj-23713	56	25	,	,	PUNCT
brj-23713	56	26	including	include	VERB
brj-23713	56	27	h	h	NOUN
brj-23713	56	28	,	,	PUNCT
brj-23713	56	29	o	o	NOUN
brj-23713	56	30	,	,	PUNCT
brj-23713	56	31	n	n	CCONJ
brj-23713	56	32	,	,	PUNCT
brj-23713	56	33	s	s	PROPN
brj-23713	56	34	,	,	PUNCT
brj-23713	56	35	fc	fc	PROPN
brj-23713	56	36	,	,	PUNCT
brj-23713	56	37	vm	vm	PROPN
brj-23713	56	38	,	,	PUNCT
brj-23713	56	39	ash	ash	NOUN
brj-23713	56	40	content	content	NOUN
brj-23713	56	41	,	,	PUNCT
brj-23713	56	42	cl	cl	NOUN
brj-23713	56	43	,	,	PUNCT
brj-23713	56	44	hc	hc	PROPN
brj-23713	56	45	,	,	PUNCT
brj-23713	56	46	lg	lg	NOUN
brj-23713	56	47	,	,	PUNCT
brj-23713	56	48	sm	sm	PROPN
brj-23713	56	49	,	,	PUNCT
brj-23713	56	50	hhv	hhv	NOUN
brj-23713	56	51	,	,	PUNCT
brj-23713	56	52	temp	temp	NOUN
brj-23713	56	53	,	,	PUNCT
brj-23713	56	54	rt	rt	PROPN
brj-23713	56	55	,	,	PUNCT
brj-23713	56	56	and	and	CCONJ
brj-23713	56	57	hr	hr	NOUN
brj-23713	56	58	—	—	PUNCT
brj-23713	56	59	and	and	CCONJ
brj-23713	56	60	2	2	NUM
brj-23713	56	61	response	response	NOUN
brj-23713	56	62	output	output	NOUN
brj-23713	56	63	variables	variable	NOUN
brj-23713	56	64	associated	associate	VERB
brj-23713	56	65	with	with	ADP
brj-23713	56	66	biochar	biochar	NOUN
brj-23713	56	67	characteristics	characteristic	NOUN
brj-23713	56	68	(	(	PUNCT
brj-23713	56	69	carbon	carbon	NOUN
brj-23713	56	70	content	content	NOUN
brj-23713	56	71	and	and	CCONJ
brj-23713	56	72	yield	yield	NOUN
brj-23713	56	73	)	)	PUNCT
brj-23713	56	74	.	.	PUNCT
brj-23713	57	1	prior	prior	ADV
brj-23713	57	2	to	to	ADP
brj-23713	57	3	modelling	modelling	NOUN
brj-23713	57	4	,	,	PUNCT
brj-23713	57	5	the	the	DET
brj-23713	57	6	dataset	dataset	ADJ
brj-23713	57	7	underwent	underwent	NOUN
brj-23713	57	8	preprocessing	preprocessing	NOUN
brj-23713	57	9	to	to	PART
brj-23713	57	10	identify	identify	VERB
brj-23713	57	11	and	and	CCONJ
brj-23713	57	12	address	address	VERB
brj-23713	57	13	any	any	DET
brj-23713	57	14	missing	missing	ADJ
brj-23713	57	15	or	or	CCONJ
brj-23713	57	16	duplicated	duplicate	VERB
brj-23713	57	17	records	record	NOUN
brj-23713	57	18	.	.	PUNCT
brj-23713	58	1	to	to	PART
brj-23713	58	2	ensure	ensure	VERB
brj-23713	58	3	data	datum	NOUN
brj-23713	58	4	integrity	integrity	NOUN
brj-23713	58	5	,	,	PUNCT
brj-23713	58	6	a	a	DET
brj-23713	58	7	dual	dual	ADJ
brj-23713	58	8	approach	approach	NOUN
brj-23713	58	9	combining	combine	VERB
brj-23713	58	10	density	density	NOUN
brj-23713	58	11	-	-	PUNCT
brj-23713	58	12	based	base	VERB
brj-23713	58	13	spatial	spatial	ADJ
brj-23713	58	14	clustering	clustering	NOUN
brj-23713	58	15	of	of	ADP
brj-23713	58	16	applications	application	NOUN
brj-23713	58	17	with	with	ADP
brj-23713	58	18	noise	noise	NOUN
brj-23713	58	19	(	(	PUNCT
brj-23713	58	20	dbscan	dbscan	NOUN
brj-23713	58	21	)	)	PUNCT
brj-23713	58	22	,	,	PUNCT
brj-23713	58	23	a	a	DET
brj-23713	58	24	robust	robust	ADJ
brj-23713	58	25	clustering	clustering	NOUN
brj-23713	58	26	technique	technique	NOUN
brj-23713	58	27	,	,	PUNCT
brj-23713	58	28	and	and	CCONJ
brj-23713	58	29	the	the	DET
brj-23713	58	30	isolation	isolation	NOUN
brj-23713	58	31	forest	forest	NOUN
brj-23713	58	32	(	(	PUNCT
brj-23713	58	33	iforest	iforest	NOUN
brj-23713	58	34	)	)	PUNCT
brj-23713	58	35	algorithm	algorithm	NOUN
brj-23713	58	36	,	,	PUNCT
brj-23713	58	37	rooted	root	VERB
brj-23713	58	38	in	in	ADP
brj-23713	58	39	decision	decision	NOUN
brj-23713	58	40	tree	tree	NOUN
brj-23713	58	41	models	model	NOUN
brj-23713	58	42	,	,	PUNCT
brj-23713	58	43	was	be	AUX
brj-23713	58	44	implemented	implement	VERB
brj-23713	58	45	to	to	PART
brj-23713	58	46	identify	identify	VERB
brj-23713	58	47	,	,	PUNCT
brj-23713	58	48	and	and	CCONJ
brj-23713	58	49	exclude	exclude	VERB
brj-23713	58	50	outliers	outlier	NOUN
brj-23713	58	51	.	.	PUNCT
brj-23713	59	1	given	give	VERB
brj-23713	59	2	the	the	DET
brj-23713	59	3	notable	notable	ADJ
brj-23713	59	4	variability	variability	NOUN
brj-23713	59	5	and	and	CCONJ
brj-23713	59	6	unstable	unstable	ADJ
brj-23713	59	7	distribution	distribution	NOUN
brj-23713	59	8	of	of	ADP
brj-23713	59	9	heating	heating	NOUN
brj-23713	59	10	rate	rate	NOUN
brj-23713	59	11	(	(	PUNCT
brj-23713	59	12	hr	hr	NOUN
brj-23713	59	13	)	)	PUNCT
brj-23713	59	14	,	,	PUNCT
brj-23713	59	15	residence	residence	NOUN
brj-23713	59	16	time	time	NOUN
brj-23713	59	17	(	(	PUNCT
brj-23713	59	18	rt	rt	NOUN
brj-23713	59	19	)	)	PUNCT
brj-23713	59	20	,	,	PUNCT
brj-23713	59	21	and	and	CCONJ
brj-23713	59	22	sample	sample	NOUN
brj-23713	59	23	mass	mass	NOUN
brj-23713	59	24	(	(	PUNCT
brj-23713	59	25	sm	sm	PROPN
brj-23713	59	26	)	)	PUNCT
brj-23713	59	27	,	,	PUNCT
brj-23713	59	28	which	which	PRON
brj-23713	59	29	could	could	AUX
brj-23713	59	30	potentially	potentially	ADV
brj-23713	59	31	undermine	undermine	VERB
brj-23713	59	32	model	model	NOUN
brj-23713	59	33	performance	performance	NOUN
brj-23713	59	34	or	or	CCONJ
brj-23713	59	35	hinder	hinder	NOUN
brj-23713	59	36	convergence	convergence	NOUN
brj-23713	59	37	,	,	PUNCT
brj-23713	59	38	as	as	ADP
brj-23713	59	39	per	per	ADP
brj-23713	59	40	zhou	zhou	X
brj-23713	59	41	et	et	PROPN
brj-23713	59	42	al	al	PROPN
brj-23713	59	43	.	.	PROPN
brj-23713	60	1	(	(	PUNCT
brj-23713	60	2	2021	2021	NUM
brj-23713	60	3	)	)	PUNCT
brj-23713	60	4	,	,	PUNCT
brj-23713	60	5	these	these	DET
brj-23713	60	6	variables	variable	NOUN
brj-23713	60	7	were	be	AUX
brj-23713	60	8	omitted	omit	VERB
brj-23713	60	9	.	.	PUNCT
brj-23713	61	1	thus	thus	ADV
brj-23713	61	2	,	,	PUNCT
brj-23713	61	3	the	the	DET
brj-23713	61	4	final	final	ADJ
brj-23713	61	5	dataset	dataset	NOUN
brj-23713	61	6	tailored	tailor	VERB
brj-23713	61	7	for	for	ADP
brj-23713	61	8	model	model	NOUN
brj-23713	61	9	construction	construction	NOUN
brj-23713	61	10	consisted	consist	VERB
brj-23713	61	11	of	of	ADP
brj-23713	61	12	12	12	NUM
brj-23713	61	13	predictor	predictor	NOUN
brj-23713	61	14	variables	variable	NOUN
brj-23713	61	15	linked	link	VERB
brj-23713	61	16	to	to	ADP
brj-23713	61	17	biomass	biomass	NOUN
brj-23713	61	18	feedstock	feedstock	NOUN
brj-23713	61	19	composition	composition	NOUN
brj-23713	61	20	and	and	CCONJ
brj-23713	61	21	torrefaction	torrefaction	NOUN
brj-23713	61	22	parameters	parameter	NOUN
brj-23713	61	23	(	(	PUNCT
brj-23713	61	24	h	h	NOUN
brj-23713	61	25	,	,	PUNCT
brj-23713	61	26	o	o	NOUN
brj-23713	61	27	,	,	PUNCT
brj-23713	61	28	n	n	CCONJ
brj-23713	61	29	,	,	PUNCT
brj-23713	61	30	peer	peer	NOUN
brj-23713	61	31	-	-	PUNCT
brj-23713	61	32	reviewed	review	VERB
brj-23713	61	33	article	article	NOUN
brj-23713	61	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	62	1	xu	xu	PROPN
brj-23713	62	2	et	et	PROPN
brj-23713	62	3	al	al	PROPN
brj-23713	62	4	.	.	PROPN
brj-23713	62	5	(	(	PUNCT
brj-23713	62	6	2024	2024	NUM
brj-23713	62	7	)	)	PUNCT
brj-23713	62	8	.	.	PUNCT
brj-23713	63	1	“	"	PUNCT
brj-23713	63	2	machine	machine	NOUN
brj-23713	63	3	learning	learning	NOUN
brj-23713	63	4	for	for	ADP
brj-23713	63	5	biochar	biochar	NOUN
brj-23713	63	6	,	,	PUNCT
brj-23713	63	7	”	"	PUNCT
brj-23713	63	8	bioresources	bioresource	NOUN
brj-23713	63	9	19(3	19(3	NUM
brj-23713	63	10	)	)	PUNCT
brj-23713	63	11	,	,	PUNCT
brj-23713	63	12	6545	6545	NUM
brj-23713	63	13	-	-	SYM
brj-23713	63	14	6558	6558	NUM
brj-23713	63	15	.	.	PUNCT
brj-23713	64	1	6548	6548	NUM
brj-23713	64	2	s	s	PROPN
brj-23713	64	3	,	,	PUNCT
brj-23713	64	4	fc	fc	PROPN
brj-23713	64	5	,	,	PUNCT
brj-23713	64	6	vm	vm	PROPN
brj-23713	64	7	,	,	PUNCT
brj-23713	64	8	ash	ash	NOUN
brj-23713	64	9	,	,	PUNCT
brj-23713	64	10	cl	cl	NOUN
brj-23713	64	11	,	,	PUNCT
brj-23713	64	12	hc	hc	PROPN
brj-23713	64	13	,	,	PUNCT
brj-23713	64	14	lg	lg	NOUN
brj-23713	64	15	,	,	PUNCT
brj-23713	64	16	hhv	hhv	NOUN
brj-23713	64	17	,	,	PUNCT
brj-23713	64	18	and	and	CCONJ
brj-23713	64	19	temp	temp	NOUN
brj-23713	64	20	)	)	PUNCT
brj-23713	64	21	and	and	CCONJ
brj-23713	64	22	maintained	maintain	VERB
brj-23713	64	23	the	the	DET
brj-23713	64	24	same	same	ADJ
brj-23713	64	25	2	2	NUM
brj-23713	64	26	output	output	NOUN
brj-23713	64	27	variables	variable	NOUN
brj-23713	64	28	linked	link	VERB
brj-23713	64	29	to	to	ADP
brj-23713	64	30	biochar	biochar	NOUN
brj-23713	64	31	attributes	attribute	NOUN
brj-23713	64	32	(	(	PUNCT
brj-23713	64	33	carbon	carbon	NOUN
brj-23713	64	34	content	content	NOUN
brj-23713	64	35	and	and	CCONJ
brj-23713	64	36	biochar	biochar	NOUN
brj-23713	64	37	yield	yield	NOUN
brj-23713	64	38	)	)	PUNCT
brj-23713	64	39	.	.	PUNCT
brj-23713	65	1	considering	consider	VERB
brj-23713	65	2	the	the	DET
brj-23713	65	3	extensive	extensive	ADJ
brj-23713	65	4	variation	variation	NOUN
brj-23713	65	5	and	and	CCONJ
brj-23713	65	6	scales	scale	NOUN
brj-23713	65	7	across	across	ADP
brj-23713	65	8	different	different	ADJ
brj-23713	65	9	feature	feature	NOUN
brj-23713	65	10	dimensions	dimension	NOUN
brj-23713	65	11	,	,	PUNCT
brj-23713	65	12	the	the	DET
brj-23713	65	13	dataset	dataset	VERB
brj-23713	65	14	underwent	underwent	NOUN
brj-23713	65	15	preprocessing	preprocessing	NOUN
brj-23713	65	16	with	with	ADP
brj-23713	65	17	standardscaler	standardscaler	NOUN
brj-23713	65	18	from	from	ADP
brj-23713	65	19	the	the	DET
brj-23713	65	20	scikit	scikit	NOUN
brj-23713	65	21	-	-	PUNCT
brj-23713	65	22	learn	learn	VERB
brj-23713	65	23	library	library	NOUN
brj-23713	65	24	in	in	ADP
brj-23713	65	25	python	python	PROPN
brj-23713	65	26	to	to	PART
brj-23713	65	27	standardize	standardize	VERB
brj-23713	65	28	the	the	DET
brj-23713	65	29	variables	variable	NOUN
brj-23713	65	30	,	,	PUNCT
brj-23713	65	31	adhering	adhere	VERB
brj-23713	65	32	to	to	ADP
brj-23713	65	33	the	the	DET
brj-23713	65	34	methodology	methodology	NOUN
brj-23713	65	35	outlined	outline	VERB
brj-23713	65	36	by	by	ADP
brj-23713	65	37	pedregosa	pedregosa	PROPN
brj-23713	65	38	et	et	PROPN
brj-23713	65	39	al	al	PROPN
brj-23713	65	40	.	.	PUNCT
brj-23713	66	1	(	(	PUNCT
brj-23713	66	2	2011	2011	NUM
brj-23713	66	3	)	)	PUNCT
brj-23713	66	4	.	.	PUNCT
brj-23713	67	1	furthermore	furthermore	ADV
brj-23713	67	2	,	,	PUNCT
brj-23713	67	3	to	to	PART
brj-23713	67	4	delve	delve	VERB
brj-23713	67	5	into	into	ADP
brj-23713	67	6	the	the	DET
brj-23713	67	7	relationships	relationship	NOUN
brj-23713	67	8	between	between	ADP
brj-23713	67	9	the	the	DET
brj-23713	67	10	predictors	predictor	NOUN
brj-23713	67	11	and	and	CCONJ
brj-23713	67	12	the	the	DET
brj-23713	67	13	predicted	predict	VERB
brj-23713	67	14	outcomes	outcome	NOUN
brj-23713	67	15	,	,	PUNCT
brj-23713	67	16	pearson	pearson	PROPN
brj-23713	67	17	’s	’s	PART
brj-23713	67	18	correlation	correlation	NOUN
brj-23713	67	19	coefficient	coefficient	NOUN
brj-23713	67	20	(	(	PUNCT
brj-23713	67	21	pcc	pcc	NOUN
brj-23713	67	22	)	)	PUNCT
brj-23713	67	23	was	be	AUX
brj-23713	67	24	employed	employ	VERB
brj-23713	67	25	.	.	PUNCT
brj-23713	68	1	with	with	ADP
brj-23713	68	2	the	the	DET
brj-23713	68	3	aim	aim	NOUN
brj-23713	68	4	to	to	PART
brj-23713	68	5	facilitate	facilitate	VERB
brj-23713	68	6	quicker	quick	ADJ
brj-23713	68	7	algorithm	algorithm	NOUN
brj-23713	68	8	convergence	convergence	NOUN
brj-23713	68	9	and	and	CCONJ
brj-23713	68	10	enhance	enhance	VERB
brj-23713	68	11	prediction	prediction	NOUN
brj-23713	68	12	accuracy	accuracy	NOUN
brj-23713	68	13	by	by	ADP
brj-23713	68	14	achieving	achieve	VERB
brj-23713	68	15	a	a	DET
brj-23713	68	16	consistent	consistent	ADJ
brj-23713	68	17	scale	scale	NOUN
brj-23713	68	18	among	among	ADP
brj-23713	68	19	all	all	DET
brj-23713	68	20	variables	variable	NOUN
brj-23713	68	21	,	,	PUNCT
brj-23713	68	22	the	the	DET
brj-23713	68	23	empirical	empirical	ADJ
brj-23713	68	24	dataset	dataset	NOUN
brj-23713	68	25	was	be	AUX
brj-23713	68	26	subjected	subject	VERB
brj-23713	68	27	to	to	ADP
brj-23713	68	28	min	min	NOUN
brj-23713	68	29	-	-	PUNCT
brj-23713	68	30	max	max	PROPN
brj-23713	68	31	normalization	normalization	NOUN
brj-23713	68	32	,	,	PUNCT
brj-23713	68	33	transforming	transform	VERB
brj-23713	68	34	values	value	NOUN
brj-23713	68	35	to	to	PART
brj-23713	68	36	fall	fall	VERB
brj-23713	68	37	within	within	ADP
brj-23713	68	38	the	the	DET
brj-23713	68	39	interval	interval	NOUN
brj-23713	68	40	of	of	ADP
brj-23713	68	41	0	0	NUM
brj-23713	68	42	to	to	PART
brj-23713	68	43	1	1	NUM
brj-23713	68	44	,	,	PUNCT
brj-23713	68	45	utilizing	utilize	VERB
brj-23713	68	46	eq	eq	ADP
brj-23713	68	47	.	.	PROPN
brj-23713	68	48	1	1	NUM
brj-23713	68	49	for	for	ADP
brj-23713	68	50	this	this	DET
brj-23713	68	51	transformation	transformation	NOUN
brj-23713	68	52	process	process	NOUN
brj-23713	68	53	.	.	PUNCT
brj-23713	69	1	𝑋𝑖	𝑋𝑖	NOUN
brj-23713	69	2	′	′	NOUN
brj-23713	70	1	=	=	PUNCT
brj-23713	71	1	𝑋𝑖	𝑋𝑖	PRON
brj-23713	71	2	−	−	PROPN
brj-23713	71	3	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
brj-23713	71	4	𝑋𝑚𝑎𝑥	𝑋𝑚𝑎𝑥	PROPN
brj-23713	71	5	−	−	PROPN
brj-23713	71	6	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
brj-23713	71	7	(	(	PUNCT
brj-23713	71	8	1	1	NUM
brj-23713	71	9	)	)	PUNCT
brj-23713	71	10	where	where	SCONJ
brj-23713	71	11	xi	xi	PROPN
brj-23713	71	12	is	be	AUX
brj-23713	71	13	the	the	DET
brj-23713	71	14	value	value	NOUN
brj-23713	71	15	of	of	ADP
brj-23713	71	16	the	the	DET
brj-23713	71	17	input	input	NOUN
brj-23713	71	18	feature	feature	NOUN
brj-23713	71	19	;	;	PUNCT
brj-23713	71	20	xi	xi	X
brj-23713	71	21	'	'	PUNCT
brj-23713	71	22	is	be	AUX
brj-23713	71	23	the	the	DET
brj-23713	71	24	normalized	normalize	VERB
brj-23713	71	25	value	value	NOUN
brj-23713	71	26	of	of	ADP
brj-23713	71	27	initial	initial	ADJ
brj-23713	71	28	xi	xi	PROPN
brj-23713	71	29	;	;	PUNCT
brj-23713	71	30	xmin	xmin	PROPN
brj-23713	71	31	,	,	PUNCT
brj-23713	71	32	and	and	CCONJ
brj-23713	71	33	xmax	xmax	PROPN
brj-23713	71	34	are	be	AUX
brj-23713	71	35	the	the	DET
brj-23713	71	36	minimum	minimum	ADJ
brj-23713	71	37	and	and	CCONJ
brj-23713	71	38	maximum	maximum	ADJ
brj-23713	71	39	values	value	NOUN
brj-23713	71	40	of	of	ADP
brj-23713	71	41	xi	xi	PROPN
brj-23713	71	42	,	,	PUNCT
brj-23713	71	43	respectively	respectively	ADV
brj-23713	71	44	.	.	PUNCT
brj-23713	72	1	construction	construction	NOUN
brj-23713	72	2	and	and	CCONJ
brj-23713	72	3	evaluation	evaluation	NOUN
brj-23713	72	4	of	of	ADP
brj-23713	72	5	machine	machine	NOUN
brj-23713	72	6	learning	learning	NOUN
brj-23713	72	7	models	model	NOUN
brj-23713	72	8	in	in	ADP
brj-23713	72	9	this	this	DET
brj-23713	72	10	study	study	NOUN
brj-23713	72	11	,	,	PUNCT
brj-23713	72	12	two	two	NUM
brj-23713	72	13	machine	machine	NOUN
brj-23713	72	14	learning	learn	VERB
brj-23713	72	15	algorithms	algorithm	NOUN
brj-23713	72	16	were	be	AUX
brj-23713	72	17	employed	employ	VERB
brj-23713	72	18	,	,	PUNCT
brj-23713	72	19	namely	namely	ADV
brj-23713	72	20	xgboost	xgboost	ADV
brj-23713	72	21	and	and	CCONJ
brj-23713	72	22	random	random	ADJ
brj-23713	73	1	forest	forest	NOUN
brj-23713	73	2	(	(	PUNCT
brj-23713	73	3	rf	rf	NOUN
brj-23713	73	4	)	)	PUNCT
brj-23713	73	5	,	,	PUNCT
brj-23713	73	6	to	to	PART
brj-23713	73	7	construct	construct	VERB
brj-23713	73	8	models	model	NOUN
brj-23713	73	9	predicting	predict	VERB
brj-23713	73	10	carbon	carbon	NOUN
brj-23713	73	11	content	content	NOUN
brj-23713	73	12	and	and	CCONJ
brj-23713	73	13	biochar	biochar	NOUN
brj-23713	73	14	yield	yield	NOUN
brj-23713	73	15	.	.	PUNCT
brj-23713	74	1	these	these	DET
brj-23713	74	2	models	model	NOUN
brj-23713	74	3	utilized	utilize	VERB
brj-23713	74	4	17	17	NUM
brj-23713	74	5	different	different	ADJ
brj-23713	74	6	variables	variable	NOUN
brj-23713	74	7	as	as	ADP
brj-23713	74	8	input	input	NOUN
brj-23713	74	9	features	feature	NOUN
brj-23713	74	10	.	.	PUNCT
brj-23713	75	1	the	the	DET
brj-23713	75	2	implementation	implementation	NOUN
brj-23713	75	3	of	of	ADP
brj-23713	75	4	these	these	DET
brj-23713	75	5	algorithms	algorithm	NOUN
brj-23713	75	6	was	be	AUX
brj-23713	75	7	facilitated	facilitate	VERB
brj-23713	75	8	through	through	ADP
brj-23713	75	9	python	python	NOUN
brj-23713	75	10	,	,	PUNCT
brj-23713	75	11	leveraging	leverage	VERB
brj-23713	75	12	libraries	library	NOUN
brj-23713	75	13	such	such	ADJ
brj-23713	75	14	as	as	ADP
brj-23713	75	15	sklearn	sklearn	ADJ
brj-23713	75	16	for	for	ADP
brj-23713	75	17	general	general	ADJ
brj-23713	75	18	machine	machine	NOUN
brj-23713	75	19	learning	learning	NOUN
brj-23713	75	20	tasks	task	NOUN
brj-23713	75	21	,	,	PUNCT
brj-23713	75	22	xgboost	xgboost	ADV
brj-23713	75	23	specifically	specifically	ADV
brj-23713	75	24	for	for	ADP
brj-23713	75	25	the	the	DET
brj-23713	75	26	xgboost	xgboost	PROPN
brj-23713	75	27	algorithm	algorithm	NOUN
brj-23713	75	28	,	,	PUNCT
brj-23713	75	29	and	and	CCONJ
brj-23713	75	30	keras	keras	PROPN
brj-23713	75	31	for	for	ADP
brj-23713	75	32	potential	potential	ADJ
brj-23713	75	33	deep	deep	ADJ
brj-23713	75	34	learning	learning	NOUN
brj-23713	75	35	components	component	NOUN
brj-23713	75	36	.	.	PUNCT
brj-23713	76	1	prior	prior	ADV
brj-23713	76	2	to	to	ADP
brj-23713	76	3	the	the	DET
brj-23713	76	4	modeling	modeling	NOUN
brj-23713	76	5	process	process	NOUN
brj-23713	76	6	,	,	PUNCT
brj-23713	76	7	the	the	DET
brj-23713	76	8	dataset	dataset	NOUN
brj-23713	76	9	was	be	AUX
brj-23713	76	10	divided	divide	VERB
brj-23713	76	11	randomly	randomly	ADV
brj-23713	76	12	into	into	ADP
brj-23713	76	13	two	two	NUM
brj-23713	76	14	subsets	subset	NOUN
brj-23713	76	15	:	:	PUNCT
brj-23713	76	16	80	80	NUM
brj-23713	76	17	%	%	NOUN
brj-23713	76	18	of	of	ADP
brj-23713	76	19	the	the	DET
brj-23713	76	20	data	datum	NOUN
brj-23713	76	21	was	be	AUX
brj-23713	76	22	allocated	allocate	VERB
brj-23713	76	23	for	for	ADP
brj-23713	76	24	training	train	VERB
brj-23713	76	25	the	the	DET
brj-23713	76	26	models	model	NOUN
brj-23713	76	27	,	,	PUNCT
brj-23713	76	28	while	while	SCONJ
brj-23713	76	29	the	the	DET
brj-23713	76	30	remaining	remain	VERB
brj-23713	76	31	20	20	NUM
brj-23713	76	32	%	%	NOUN
brj-23713	76	33	served	serve	VERB
brj-23713	76	34	as	as	ADP
brj-23713	76	35	a	a	DET
brj-23713	76	36	test	test	NOUN
brj-23713	76	37	dataset	dataset	VERB
brj-23713	76	38	to	to	PART
brj-23713	76	39	assess	assess	VERB
brj-23713	76	40	the	the	DET
brj-23713	76	41	predictive	predictive	ADJ
brj-23713	76	42	accuracy	accuracy	NOUN
brj-23713	76	43	of	of	ADP
brj-23713	76	44	the	the	DET
brj-23713	76	45	models	model	NOUN
brj-23713	76	46	developed	develop	VERB
brj-23713	76	47	.	.	PUNCT
brj-23713	77	1	in	in	ADP
brj-23713	77	2	order	order	NOUN
brj-23713	77	3	to	to	PART
brj-23713	77	4	refine	refine	VERB
brj-23713	77	5	the	the	DET
brj-23713	77	6	predictive	predictive	ADJ
brj-23713	77	7	power	power	NOUN
brj-23713	77	8	of	of	ADP
brj-23713	77	9	our	our	PRON
brj-23713	77	10	machine	machine	NOUN
brj-23713	77	11	learning	learning	NOUN
brj-23713	77	12	models	model	NOUN
brj-23713	77	13	,	,	PUNCT
brj-23713	77	14	a	a	DET
brj-23713	77	15	5	5	NUM
brj-23713	77	16	-	-	ADJ
brj-23713	77	17	fold	fold	ADJ
brj-23713	77	18	cross	cross	ADJ
brj-23713	77	19	-	-	ADJ
brj-23713	77	20	validation	validation	ADJ
brj-23713	77	21	methodology	methodology	NOUN
brj-23713	77	22	was	be	AUX
brj-23713	77	23	adopted	adopt	VERB
brj-23713	77	24	to	to	PART
brj-23713	77	25	calibrate	calibrate	VERB
brj-23713	77	26	hyperparameters	hyperparameter	NOUN
brj-23713	77	27	during	during	ADP
brj-23713	77	28	the	the	DET
brj-23713	77	29	training	training	NOUN
brj-23713	77	30	phase	phase	NOUN
brj-23713	77	31	.	.	PUNCT
brj-23713	78	1	the	the	DET
brj-23713	78	2	xgboost	xgboost	PROPN
brj-23713	78	3	model	model	NOUN
brj-23713	78	4	is	be	AUX
brj-23713	78	5	grounded	ground	VERB
brj-23713	78	6	in	in	ADP
brj-23713	78	7	the	the	DET
brj-23713	78	8	gradient	gradient	NOUN
brj-23713	78	9	boosting	boost	VERB
brj-23713	78	10	decision	decision	NOUN
brj-23713	78	11	tree	tree	NOUN
brj-23713	78	12	(	(	PUNCT
brj-23713	78	13	gbdt	gbdt	NOUN
brj-23713	78	14	)	)	PUNCT
brj-23713	78	15	algorithm	algorithm	NOUN
brj-23713	78	16	,	,	PUNCT
brj-23713	78	17	which	which	PRON
brj-23713	78	18	is	be	AUX
brj-23713	78	19	renowned	renowned	ADJ
brj-23713	78	20	for	for	ADP
brj-23713	78	21	its	its	PRON
brj-23713	78	22	capability	capability	NOUN
brj-23713	78	23	to	to	PART
brj-23713	78	24	adeptly	adeptly	ADV
brj-23713	78	25	and	and	CCONJ
brj-23713	78	26	proficiently	proficiently	ADV
brj-23713	78	27	manage	manage	VERB
brj-23713	78	28	both	both	CCONJ
brj-23713	78	29	regression	regression	NOUN
brj-23713	78	30	and	and	CCONJ
brj-23713	78	31	classification	classification	NOUN
brj-23713	78	32	tasks	task	NOUN
brj-23713	78	33	.	.	PUNCT
brj-23713	79	1	the	the	DET
brj-23713	79	2	hyperparameter	hyperparameter	NOUN
brj-23713	79	3	tuning	tuning	NOUN
brj-23713	79	4	process	process	NOUN
brj-23713	79	5	for	for	ADP
brj-23713	79	6	xgboost	xgboost	ADV
brj-23713	79	7	entailed	entail	VERB
brj-23713	79	8	meticulous	meticulous	ADJ
brj-23713	79	9	consideration	consideration	NOUN
brj-23713	79	10	of	of	ADP
brj-23713	79	11	key	key	ADJ
brj-23713	79	12	elements	element	NOUN
brj-23713	79	13	such	such	ADJ
brj-23713	79	14	as	as	ADP
brj-23713	79	15	the	the	DET
brj-23713	79	16	quantity	quantity	NOUN
brj-23713	79	17	of	of	ADP
brj-23713	79	18	decision	decision	NOUN
brj-23713	79	19	trees	tree	NOUN
brj-23713	79	20	,	,	PUNCT
brj-23713	79	21	the	the	DET
brj-23713	79	22	utmost	utmost	ADJ
brj-23713	79	23	tree	tree	NOUN
brj-23713	79	24	depth	depth	NOUN
brj-23713	79	25	,	,	PUNCT
brj-23713	79	26	and	and	CCONJ
brj-23713	79	27	the	the	DET
brj-23713	79	28	learning	learning	NOUN
brj-23713	79	29	rate	rate	NOUN
brj-23713	79	30	(	(	PUNCT
brj-23713	79	31	chen	chen	PROPN
brj-23713	79	32	and	and	CCONJ
brj-23713	79	33	guestrin	guestrin	PROPN
brj-23713	79	34	2016	2016	NUM
brj-23713	79	35	)	)	PUNCT
brj-23713	79	36	.	.	PUNCT
brj-23713	80	1	concurrently	concurrently	ADV
brj-23713	80	2	,	,	PUNCT
brj-23713	80	3	random	random	ADJ
brj-23713	80	4	forest	forest	NOUN
brj-23713	80	5	(	(	PUNCT
brj-23713	80	6	rf	rf	NOUN
brj-23713	80	7	)	)	PUNCT
brj-23713	80	8	,	,	PUNCT
brj-23713	80	9	as	as	ADP
brj-23713	80	10	another	another	DET
brj-23713	80	11	decision	decision	NOUN
brj-23713	80	12	tree	tree	NOUN
brj-23713	80	13	-	-	PUNCT
brj-23713	80	14	driven	drive	VERB
brj-23713	80	15	machine	machine	NOUN
brj-23713	80	16	learning	learning	NOUN
brj-23713	80	17	architecture	architecture	NOUN
brj-23713	80	18	,	,	PUNCT
brj-23713	80	19	delves	delve	VERB
brj-23713	80	20	into	into	ADP
brj-23713	80	21	the	the	DET
brj-23713	80	22	intricate	intricate	ADJ
brj-23713	80	23	,	,	PUNCT
brj-23713	80	24	nonlinear	nonlinear	ADJ
brj-23713	80	25	correlations	correlation	NOUN
brj-23713	80	26	between	between	ADP
brj-23713	80	27	inputs	input	NOUN
brj-23713	80	28	and	and	CCONJ
brj-23713	80	29	outputs	output	NOUN
brj-23713	80	30	.	.	PUNCT
brj-23713	81	1	hyperparameter	hyperparameter	NOUN
brj-23713	81	2	optimization	optimization	NOUN
brj-23713	81	3	for	for	ADP
brj-23713	81	4	rf	rf	PRON
brj-23713	81	5	was	be	AUX
brj-23713	81	6	carried	carry	VERB
brj-23713	81	7	out	out	ADP
brj-23713	81	8	by	by	ADP
brj-23713	81	9	carefully	carefully	ADV
brj-23713	81	10	modulating	modulate	VERB
brj-23713	81	11	the	the	DET
brj-23713	81	12	count	count	NOUN
brj-23713	81	13	and	and	CCONJ
brj-23713	81	14	the	the	DET
brj-23713	81	15	maximal	maximal	ADJ
brj-23713	81	16	depth	depth	NOUN
brj-23713	81	17	of	of	ADP
brj-23713	81	18	the	the	DET
brj-23713	81	19	decision	decision	NOUN
brj-23713	81	20	trees	tree	NOUN
brj-23713	81	21	,	,	PUNCT
brj-23713	81	22	thereby	thereby	ADV
brj-23713	81	23	further	far	ADV
brj-23713	81	24	enhancing	enhance	VERB
brj-23713	81	25	model	model	NOUN
brj-23713	81	26	performance	performance	NOUN
brj-23713	81	27	(	(	PUNCT
brj-23713	81	28	breiman	breiman	NOUN
brj-23713	81	29	2001	2001	NUM
brj-23713	81	30	)	)	PUNCT
brj-23713	81	31	.	.	PUNCT
brj-23713	82	1	post	post	VERB
brj-23713	82	2	hyperparameter	hyperparameter	PROPN
brj-23713	82	3	optimization	optimization	NOUN
brj-23713	82	4	,	,	PUNCT
brj-23713	82	5	the	the	DET
brj-23713	82	6	machine	machine	NOUN
brj-23713	82	7	learning	learning	NOUN
brj-23713	82	8	models	model	NOUN
brj-23713	82	9	underwent	undergo	VERB
brj-23713	82	10	retraining	retrain	VERB
brj-23713	82	11	with	with	ADP
brj-23713	82	12	the	the	DET
brj-23713	82	13	designated	designate	VERB
brj-23713	82	14	training	training	NOUN
brj-23713	82	15	dataset	dataset	VERB
brj-23713	82	16	to	to	PART
brj-23713	82	17	derive	derive	VERB
brj-23713	82	18	the	the	DET
brj-23713	82	19	most	most	ADV
brj-23713	82	20	efficacious	efficacious	ADJ
brj-23713	82	21	versions	version	NOUN
brj-23713	82	22	capable	capable	ADJ
brj-23713	82	23	of	of	ADP
brj-23713	82	24	precisely	precisely	ADV
brj-23713	82	25	forecasting	forecast	VERB
brj-23713	82	26	carbon	carbon	NOUN
brj-23713	82	27	content	content	NOUN
brj-23713	82	28	and	and	CCONJ
brj-23713	82	29	biochar	biochar	NOUN
brj-23713	82	30	yield	yield	NOUN
brj-23713	82	31	.	.	PUNCT
brj-23713	83	1	to	to	PART
brj-23713	83	2	rigorously	rigorously	ADV
brj-23713	83	3	assess	assess	VERB
brj-23713	83	4	the	the	DET
brj-23713	83	5	predictive	predictive	ADJ
brj-23713	83	6	precision	precision	NOUN
brj-23713	83	7	and	and	CCONJ
brj-23713	83	8	the	the	DET
brj-23713	83	9	broader	broad	ADJ
brj-23713	83	10	applicability	applicability	NOUN
brj-23713	83	11	of	of	ADP
brj-23713	83	12	these	these	DET
brj-23713	83	13	finely	finely	ADV
brj-23713	83	14	-	-	PUNCT
brj-23713	83	15	tuned	tune	VERB
brj-23713	83	16	models	model	NOUN
brj-23713	83	17	,	,	PUNCT
brj-23713	83	18	a	a	DET
brj-23713	83	19	trio	trio	NOUN
brj-23713	83	20	of	of	ADP
brj-23713	83	21	metrics	metric	NOUN
brj-23713	83	22	was	be	AUX
brj-23713	83	23	employed	employ	VERB
brj-23713	83	24	:	:	PUNCT
brj-23713	83	25	the	the	DET
brj-23713	83	26	coefficient	coefficient	NOUN
brj-23713	83	27	of	of	ADP
brj-23713	83	28	determination	determination	NOUN
brj-23713	83	29	(	(	PUNCT
brj-23713	83	30	r2	r2	PROPN
brj-23713	83	31	)	)	PUNCT
brj-23713	83	32	for	for	ADP
brj-23713	83	33	goodness	goodness	NOUN
brj-23713	83	34	of	of	ADP
brj-23713	83	35	fit	fit	PROPN
brj-23713	83	36	,	,	PUNCT
brj-23713	83	37	the	the	DET
brj-23713	83	38	root	root	NOUN
brj-23713	83	39	mean	mean	VERB
brj-23713	83	40	square	square	ADJ
brj-23713	83	41	error	error	NOUN
brj-23713	83	42	(	(	PUNCT
brj-23713	83	43	rmse	rmse	NOUN
brj-23713	83	44	)	)	PUNCT
brj-23713	83	45	to	to	PART
brj-23713	83	46	quantify	quantify	VERB
brj-23713	83	47	prediction	prediction	NOUN
brj-23713	83	48	errors	error	NOUN
brj-23713	83	49	,	,	PUNCT
brj-23713	83	50	and	and	CCONJ
brj-23713	83	51	the	the	DET
brj-23713	83	52	mean	mean	ADJ
brj-23713	83	53	squared	square	VERB
brj-23713	83	54	error	error	NOUN
brj-23713	83	55	(	(	PUNCT
brj-23713	83	56	mse	mse	NOUN
brj-23713	83	57	)	)	PUNCT
brj-23713	83	58	to	to	PART
brj-23713	83	59	offer	offer	VERB
brj-23713	83	60	a	a	DET
brj-23713	83	61	complementary	complementary	ADJ
brj-23713	83	62	perspective	perspective	NOUN
brj-23713	83	63	on	on	ADP
brj-23713	83	64	the	the	DET
brj-23713	83	65	models	model	NOUN
brj-23713	83	66	'	'	PART
brj-23713	83	67	accuracy	accuracy	NOUN
brj-23713	83	68	,	,	PUNCT
brj-23713	83	69	all	all	PRON
brj-23713	83	70	utilizing	utilize	VERB
brj-23713	83	71	the	the	DET
brj-23713	83	72	separate	separate	ADJ
brj-23713	83	73	test	test	NOUN
brj-23713	83	74	dataset	dataset	VERB
brj-23713	83	75	.	.	PUNCT
brj-23713	84	1	the	the	DET
brj-23713	84	2	r2	r2	PROPN
brj-23713	84	3	,	,	PUNCT
brj-23713	84	4	rmse	rmse	NOUN
brj-23713	84	5	,	,	PUNCT
brj-23713	84	6	and	and	CCONJ
brj-23713	84	7	mse	mse	PROPN
brj-23713	84	8	were	be	AUX
brj-23713	84	9	calculated	calculate	VERB
brj-23713	84	10	with	with	ADP
brj-23713	84	11	eqs	eqs	PROPN
brj-23713	84	12	.	.	PROPN
brj-23713	84	13	2	2	NUM
brj-23713	84	14	,	,	PUNCT
brj-23713	84	15	3	3	NUM
brj-23713	84	16	,	,	PUNCT
brj-23713	84	17	and	and	CCONJ
brj-23713	84	18	4	4	NUM
brj-23713	84	19	,	,	PUNCT
brj-23713	84	20	respectively	respectively	ADV
brj-23713	84	21	.	.	PUNCT
brj-23713	85	1	𝑅2	𝑅2	NOUN
brj-23713	85	2	=	=	SYM
brj-23713	86	1	1	1	NUM
brj-23713	86	2	−	−	NOUN
brj-23713	86	3	∑	∑	PUNCT
brj-23713	86	4	(	(	PUNCT
brj-23713	86	5	𝒚𝒊−𝒚	𝒚𝒊−𝒚	PROPN
brj-23713	86	6	�	�	PROPN
brj-23713	86	7	̂	̂	NUM
brj-23713	86	8	�	�	PROPN
brj-23713	86	9	)𝟐𝒏	)𝟐𝒏	PUNCT
brj-23713	86	10	𝒊	𝒊	X
brj-23713	86	11	∑	∑	PUNCT
brj-23713	86	12	(	(	PUNCT
brj-23713	86	13	𝒚𝒊−𝒚	𝒚𝒊−𝒚	NOUN
brj-23713	86	14	�	�	NOUN
brj-23713	86	15	̅	̅	NOUN
brj-23713	86	16	�	�	NOUN
brj-23713	86	17	)𝟐𝒏	)𝟐𝒏	PUNCT
brj-23713	86	18	𝒊	𝒊	X
brj-23713	86	19	(	(	PUNCT
brj-23713	86	20	2	2	NUM
brj-23713	86	21	)	)	PUNCT
brj-23713	86	22	peer	peer	NOUN
brj-23713	86	23	-	-	PUNCT
brj-23713	86	24	reviewed	review	VERB
brj-23713	86	25	article	article	NOUN
brj-23713	86	26	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	86	27	xu	xu	PROPN
brj-23713	86	28	et	et	PROPN
brj-23713	86	29	al	al	PROPN
brj-23713	86	30	.	.	PROPN
brj-23713	86	31	(	(	PUNCT
brj-23713	86	32	2024	2024	NUM
brj-23713	86	33	)	)	PUNCT
brj-23713	86	34	.	.	PUNCT
brj-23713	87	1	“	"	PUNCT
brj-23713	87	2	machine	machine	NOUN
brj-23713	87	3	learning	learning	NOUN
brj-23713	87	4	for	for	ADP
brj-23713	87	5	biochar	biochar	NOUN
brj-23713	87	6	,	,	PUNCT
brj-23713	87	7	”	"	PUNCT
brj-23713	87	8	bioresources	bioresource	NOUN
brj-23713	87	9	19(3	19(3	NUM
brj-23713	87	10	)	)	PUNCT
brj-23713	87	11	,	,	PUNCT
brj-23713	87	12	6545	6545	NUM
brj-23713	87	13	-	-	SYM
brj-23713	87	14	6558	6558	NUM
brj-23713	87	15	.	.	PUNCT
brj-23713	88	1	6549	6549	NUM
brj-23713	88	2	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
brj-23713	88	3	=	=	PUNCT
brj-23713	88	4	√	√	NUM
brj-23713	88	5	∑	∑	INTJ
brj-23713	88	6	(	(	PUNCT
brj-23713	88	7	𝒚𝒊−𝒚	𝒚𝒊−𝒚	X
brj-23713	88	8	�	�	PROPN
brj-23713	88	9	̂	̂	NUM
brj-23713	88	10	�	�	NOUN
brj-23713	88	11	)𝟐𝒏	)𝟐𝒏	PUNCT
brj-23713	88	12	𝒊	𝒊	X
brj-23713	88	13	𝒏	𝒏	PROPN
brj-23713	88	14	(	(	PUNCT
brj-23713	88	15	3	3	NUM
brj-23713	88	16	)	)	PUNCT
brj-23713	88	17	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
brj-23713	88	18	=	=	SYM
brj-23713	88	19	∑	∑	PUNCT
brj-23713	88	20	(	(	PUNCT
brj-23713	88	21	𝒚𝒊−𝒚	𝒚𝒊−𝒚	PROPN
brj-23713	88	22	�	�	PROPN
brj-23713	88	23	̂	̂	NUM
brj-23713	88	24	�	�	NOUN
brj-23713	88	25	)𝟐𝒏	)𝟐𝒏	PUNCT
brj-23713	88	26	𝒊	𝒊	X
brj-23713	88	27	𝒏	𝒏	PROPN
brj-23713	88	28	(	(	PUNCT
brj-23713	88	29	4	4	NUM
brj-23713	88	30	)	)	PUNCT
brj-23713	88	31	where	where	SCONJ
brj-23713	88	32	n	n	PRON
brj-23713	88	33	is	be	AUX
brj-23713	88	34	the	the	DET
brj-23713	88	35	number	number	NOUN
brj-23713	88	36	of	of	ADP
brj-23713	88	37	total	total	ADJ
brj-23713	88	38	data	datum	NOUN
brj-23713	88	39	points	point	NOUN
brj-23713	88	40	for	for	ADP
brj-23713	88	41	the	the	DET
brj-23713	88	42	training	training	NOUN
brj-23713	88	43	set	set	NOUN
brj-23713	88	44	or	or	CCONJ
brj-23713	88	45	testing	testing	NOUN
brj-23713	88	46	set	set	NOUN
brj-23713	88	47	;	;	PUNCT
brj-23713	88	48	yi	yi	PROPN
brj-23713	88	49	is	be	AUX
brj-23713	88	50	the	the	DET
brj-23713	88	51	experimental	experimental	ADJ
brj-23713	88	52	value	value	NOUN
brj-23713	88	53	of	of	ADP
brj-23713	88	54	the	the	DET
brj-23713	88	55	output	output	NOUN
brj-23713	88	56	variable	variable	NOUN
brj-23713	88	57	;	;	PUNCT
brj-23713	88	58	𝑦	𝑦	X
brj-23713	88	59	�	�	NOUN
brj-23713	88	60	̂	̂	SYM
brj-23713	88	61	�	�	NOUN
brj-23713	88	62	is	be	AUX
brj-23713	88	63	the	the	DET
brj-23713	88	64	corresponding	corresponding	ADJ
brj-23713	88	65	predicted	predict	VERB
brj-23713	88	66	value	value	NOUN
brj-23713	88	67	;	;	PUNCT
brj-23713	88	68	𝑦	𝑦	X
brj-23713	88	69	�	�	NOUN
brj-23713	88	70	̅	̅	NOUN
brj-23713	88	71	�	�	NOUN
brj-23713	88	72	is	be	AUX
brj-23713	88	73	the	the	DET
brj-23713	88	74	average	average	ADJ
brj-23713	88	75	value	value	NOUN
brj-23713	88	76	of	of	ADP
brj-23713	88	77	output	output	NOUN
brj-23713	88	78	variable	variable	NOUN
brj-23713	88	79	.	.	PUNCT
brj-23713	89	1	method	method	NOUN
brj-23713	89	2	for	for	ADP
brj-23713	89	3	feature	feature	NOUN
brj-23713	89	4	importance	importance	NOUN
brj-23713	89	5	analysis	analysis	NOUN
brj-23713	89	6	in	in	ADP
brj-23713	89	7	an	an	DET
brj-23713	89	8	effort	effort	NOUN
brj-23713	89	9	to	to	PART
brj-23713	89	10	decipher	decipher	VERB
brj-23713	89	11	the	the	DET
brj-23713	89	12	relative	relative	ADJ
brj-23713	89	13	significance	significance	NOUN
brj-23713	89	14	and	and	CCONJ
brj-23713	89	15	interplay	interplay	NOUN
brj-23713	89	16	among	among	ADP
brj-23713	89	17	diverse	diverse	ADJ
brj-23713	89	18	input	input	NOUN
brj-23713	89	19	variables	variable	NOUN
brj-23713	89	20	affecting	affect	VERB
brj-23713	89	21	the	the	DET
brj-23713	89	22	output	output	NOUN
brj-23713	89	23	in	in	ADP
brj-23713	89	24	inherently	inherently	ADV
brj-23713	89	25	opaque	opaque	ADJ
brj-23713	89	26	machine	machine	NOUN
brj-23713	89	27	learning	learning	NOUN
brj-23713	89	28	models	model	NOUN
brj-23713	89	29	,	,	PUNCT
brj-23713	89	30	a	a	DET
brj-23713	89	31	feature	feature	NOUN
brj-23713	89	32	importance	importance	NOUN
brj-23713	89	33	analysis	analysis	NOUN
brj-23713	89	34	was	be	AUX
brj-23713	89	35	initiated	initiate	VERB
brj-23713	89	36	to	to	PART
brj-23713	89	37	illuminate	illuminate	VERB
brj-23713	89	38	the	the	DET
brj-23713	89	39	pivotal	pivotal	ADJ
brj-23713	89	40	aspects	aspect	NOUN
brj-23713	89	41	governing	govern	VERB
brj-23713	89	42	the	the	DET
brj-23713	89	43	intricate	intricate	ADJ
brj-23713	89	44	biological	biological	ADJ
brj-23713	89	45	mechanisms	mechanism	NOUN
brj-23713	89	46	at	at	ADP
brj-23713	89	47	play	play	NOUN
brj-23713	89	48	.	.	PUNCT
brj-23713	90	1	this	this	DET
brj-23713	90	2	investigation	investigation	NOUN
brj-23713	90	3	employed	employ	VERB
brj-23713	90	4	the	the	DET
brj-23713	90	5	shepley	shepley	ADJ
brj-23713	90	6	additive	additive	ADJ
brj-23713	90	7	explanations	explanation	NOUN
brj-23713	90	8	(	(	PUNCT
brj-23713	90	9	shap	shap	NOUN
brj-23713	90	10	)	)	PUNCT
brj-23713	90	11	,	,	PUNCT
brj-23713	90	12	a	a	DET
brj-23713	90	13	game	game	NOUN
brj-23713	90	14	-	-	PUNCT
brj-23713	90	15	theoretic	theoretic	NOUN
brj-23713	90	16	explanation	explanation	NOUN
brj-23713	90	17	framework	framework	NOUN
brj-23713	90	18	for	for	ADP
brj-23713	90	19	machine	machine	NOUN
brj-23713	90	20	learning	learning	NOUN
brj-23713	90	21	,	,	PUNCT
brj-23713	90	22	to	to	AUX
brj-23713	90	23	systematically	systematically	ADV
brj-23713	90	24	rank	rank	VERB
brj-23713	90	25	and	and	CCONJ
brj-23713	90	26	assess	assess	VERB
brj-23713	90	27	these	these	DET
brj-23713	90	28	features	feature	NOUN
brj-23713	90	29	.	.	PUNCT
brj-23713	91	1	the	the	DET
brj-23713	91	2	shap	shap	PROPN
brj-23713	91	3	analysis	analysis	NOUN
brj-23713	91	4	methodically	methodically	ADV
brj-23713	91	5	attributed	attribute	VERB
brj-23713	91	6	an	an	DET
brj-23713	91	7	individual	individual	ADJ
brj-23713	91	8	,	,	PUNCT
brj-23713	91	9	quantifiable	quantifiable	ADJ
brj-23713	91	10	measure	measure	NOUN
brj-23713	91	11	of	of	ADP
brj-23713	91	12	predicted	predict	VERB
brj-23713	91	13	importance	importance	NOUN
brj-23713	91	14	to	to	ADP
brj-23713	91	15	every	every	DET
brj-23713	91	16	input	input	NOUN
brj-23713	91	17	feature	feature	NOUN
brj-23713	91	18	,	,	PUNCT
brj-23713	91	19	thereby	thereby	ADV
brj-23713	91	20	encapsulating	encapsulate	VERB
brj-23713	91	21	its	its	PRON
brj-23713	91	22	localized	localized	ADJ
brj-23713	91	23	impact	impact	NOUN
brj-23713	91	24	on	on	ADP
brj-23713	91	25	the	the	DET
brj-23713	91	26	prediction	prediction	NOUN
brj-23713	91	27	of	of	ADP
brj-23713	91	28	the	the	DET
brj-23713	91	29	output	output	NOUN
brj-23713	91	30	variable	variable	NOUN
brj-23713	91	31	(	(	PUNCT
brj-23713	91	32	lundberg	lundberg	PROPN
brj-23713	91	33	and	and	CCONJ
brj-23713	91	34	lee	lee	PROPN
brj-23713	91	35	2017	2017	NUM
brj-23713	91	36	)	)	PUNCT
brj-23713	91	37	.	.	PUNCT
brj-23713	92	1	features	feature	NOUN
brj-23713	92	2	were	be	AUX
brj-23713	92	3	deemed	deem	VERB
brj-23713	92	4	more	more	ADV
brj-23713	92	5	influential	influential	ADJ
brj-23713	92	6	in	in	ADP
brj-23713	92	7	forecasting	forecast	VERB
brj-23713	92	8	the	the	DET
brj-23713	92	9	carbon	carbon	NOUN
brj-23713	92	10	content	content	NOUN
brj-23713	92	11	and	and	CCONJ
brj-23713	92	12	biochar	biochar	NOUN
brj-23713	92	13	yield	yield	NOUN
brj-23713	92	14	within	within	ADP
brj-23713	92	15	the	the	DET
brj-23713	92	16	biochar	biochar	NOUN
brj-23713	92	17	pyrolysis	pyrolysis	NOUN
brj-23713	92	18	system	system	NOUN
brj-23713	92	19	as	as	SCONJ
brj-23713	92	20	their	their	PRON
brj-23713	92	21	positive	positive	ADJ
brj-23713	92	22	importance	importance	NOUN
brj-23713	92	23	values	value	NOUN
brj-23713	92	24	escalated	escalate	VERB
brj-23713	92	25	,	,	PUNCT
brj-23713	92	26	signifying	signify	VERB
brj-23713	92	27	a	a	DET
brj-23713	92	28	stronger	strong	ADJ
brj-23713	92	29	predictive	predictive	ADJ
brj-23713	92	30	contribution	contribution	NOUN
brj-23713	92	31	.	.	PUNCT
brj-23713	93	1	conversely	conversely	ADV
brj-23713	93	2	,	,	PUNCT
brj-23713	93	3	a	a	DET
brj-23713	93	4	feature	feature	NOUN
brj-23713	93	5	associated	associate	VERB
brj-23713	93	6	with	with	ADP
brj-23713	93	7	a	a	DET
brj-23713	93	8	negative	negative	ADJ
brj-23713	93	9	importance	importance	NOUN
brj-23713	93	10	value	value	NOUN
brj-23713	93	11	suggested	suggest	VERB
brj-23713	93	12	that	that	SCONJ
brj-23713	93	13	randomizing	randomize	VERB
brj-23713	93	14	this	this	DET
brj-23713	93	15	variable	variable	NOUN
brj-23713	93	16	could	could	AUX
brj-23713	93	17	potentially	potentially	ADV
brj-23713	93	18	enhance	enhance	VERB
brj-23713	93	19	prediction	prediction	NOUN
brj-23713	93	20	outcomes	outcome	NOUN
brj-23713	93	21	.	.	PUNCT
brj-23713	94	1	additionally	additionally	ADV
brj-23713	94	2	,	,	PUNCT
brj-23713	94	3	features	feature	VERB
brj-23713	94	4	with	with	ADP
brj-23713	94	5	an	an	DET
brj-23713	94	6	importance	importance	NOUN
brj-23713	94	7	score	score	NOUN
brj-23713	94	8	nearing	near	VERB
brj-23713	94	9	zero	zero	NUM
brj-23713	94	10	had	have	VERB
brj-23713	94	11	a	a	DET
brj-23713	94	12	negligible	negligible	ADJ
brj-23713	94	13	impact	impact	NOUN
brj-23713	94	14	on	on	ADP
brj-23713	94	15	the	the	DET
brj-23713	94	16	overall	overall	ADJ
brj-23713	94	17	model	model	NOUN
brj-23713	94	18	performance	performance	NOUN
brj-23713	94	19	,	,	PUNCT
brj-23713	94	20	indicating	indicate	VERB
brj-23713	94	21	their	their	PRON
brj-23713	94	22	limited	limited	ADJ
brj-23713	94	23	relevance	relevance	NOUN
brj-23713	94	24	to	to	ADP
brj-23713	94	25	the	the	DET
brj-23713	94	26	prediction	prediction	NOUN
brj-23713	94	27	task	task	NOUN
brj-23713	94	28	.	.	PUNCT
brj-23713	95	1	results	result	NOUN
brj-23713	95	2	and	and	CCONJ
brj-23713	95	3	discussion	discussion	NOUN
brj-23713	95	4	statistical	statistical	ADJ
brj-23713	95	5	analysis	analysis	NOUN
brj-23713	95	6	of	of	ADP
brj-23713	95	7	multiple	multiple	ADJ
brj-23713	95	8	variables	variable	NOUN
brj-23713	95	9	an	an	DET
brj-23713	95	10	ensemble	ensemble	NOUN
brj-23713	95	11	of	of	ADP
brj-23713	95	12	355	355	NUM
brj-23713	95	13	datasets	dataset	NOUN
brj-23713	95	14	was	be	AUX
brj-23713	95	15	assembled	assemble	VERB
brj-23713	95	16	from	from	ADP
brj-23713	95	17	23	23	NUM
brj-23713	95	18	publications	publication	NOUN
brj-23713	95	19	documenting	document	VERB
brj-23713	95	20	the	the	DET
brj-23713	95	21	proximate	proximate	NOUN
brj-23713	95	22	composition	composition	NOUN
brj-23713	95	23	of	of	ADP
brj-23713	95	24	biomass	biomass	NOUN
brj-23713	95	25	,	,	PUNCT
brj-23713	95	26	pyrolysis	pyrolysis	NOUN
brj-23713	95	27	parameters	parameter	NOUN
brj-23713	95	28	,	,	PUNCT
brj-23713	95	29	and	and	CCONJ
brj-23713	95	30	the	the	DET
brj-23713	95	31	elemental	elemental	ADJ
brj-23713	95	32	composition	composition	NOUN
brj-23713	95	33	,	,	PUNCT
brj-23713	95	34	yield	yield	NOUN
brj-23713	95	35	,	,	PUNCT
brj-23713	95	36	and	and	CCONJ
brj-23713	95	37	higher	high	ADJ
brj-23713	95	38	heating	heating	NOUN
brj-23713	95	39	value	value	NOUN
brj-23713	95	40	(	(	PUNCT
brj-23713	95	41	hhv	hhv	NOUN
brj-23713	95	42	)	)	PUNCT
brj-23713	95	43	of	of	ADP
brj-23713	95	44	derived	derive	VERB
brj-23713	95	45	biochars	biochar	NOUN
brj-23713	95	46	.	.	PUNCT
brj-23713	96	1	figure	figure	NOUN
brj-23713	96	2	1	1	NUM
brj-23713	96	3	illustrates	illustrate	VERB
brj-23713	96	4	the	the	DET
brj-23713	96	5	span	span	NOUN
brj-23713	96	6	of	of	ADP
brj-23713	96	7	this	this	DET
brj-23713	96	8	amassed	amass	VERB
brj-23713	96	9	data	datum	NOUN
brj-23713	96	10	.	.	PUNCT
brj-23713	97	1	analysis	analysis	NOUN
brj-23713	97	2	of	of	ADP
brj-23713	97	3	these	these	DET
brj-23713	97	4	datasets	dataset	NOUN
brj-23713	97	5	showed	show	VERB
brj-23713	97	6	the	the	DET
brj-23713	97	7	typical	typical	ADJ
brj-23713	97	8	carbon	carbon	NOUN
brj-23713	97	9	and	and	CCONJ
brj-23713	97	10	oxygen	oxygen	NOUN
brj-23713	97	11	concentrations	concentration	NOUN
brj-23713	97	12	in	in	ADP
brj-23713	97	13	biomass	biomass	NOUN
brj-23713	97	14	to	to	PART
brj-23713	97	15	be	be	AUX
brj-23713	97	16	54.81	54.81	NUM
brj-23713	97	17	wt%	wt%	ADJ
brj-23713	97	18	and	and	CCONJ
brj-23713	97	19	34.88	34.88	NUM
brj-23713	97	20	wt%	wt%	ADJ
brj-23713	97	21	,	,	PUNCT
brj-23713	97	22	respectively	respectively	ADV
brj-23713	97	23	,	,	PUNCT
brj-23713	97	24	implying	imply	VERB
brj-23713	97	25	a	a	DET
brj-23713	97	26	slight	slight	ADJ
brj-23713	97	27	dominance	dominance	NOUN
brj-23713	97	28	of	of	ADP
brj-23713	97	29	carbon	carbon	NOUN
brj-23713	97	30	.	.	PUNCT
brj-23713	98	1	characteristically	characteristically	ADV
brj-23713	98	2	,	,	PUNCT
brj-23713	98	3	biomass	biomass	NOUN
brj-23713	98	4	is	be	AUX
brj-23713	98	5	rich	rich	ADJ
brj-23713	98	6	in	in	ADP
brj-23713	98	7	volatile	volatile	ADJ
brj-23713	98	8	matter	matter	NOUN
brj-23713	98	9	(	(	PUNCT
brj-23713	98	10	vm	vm	NOUN
brj-23713	98	11	)	)	PUNCT
brj-23713	98	12	yet	yet	ADV
brj-23713	98	13	scant	scant	ADJ
brj-23713	98	14	in	in	ADP
brj-23713	98	15	ash	ash	NOUN
brj-23713	98	16	,	,	PUNCT
brj-23713	98	17	averaging	average	VERB
brj-23713	98	18	an	an	DET
brj-23713	98	19	hhv	hhv	NOUN
brj-23713	98	20	around	around	ADP
brj-23713	98	21	20.41	20.41	NUM
brj-23713	98	22	mj	mj	NOUN
brj-23713	98	23	/	/	SYM
brj-23713	98	24	kg	kg	PROPN
brj-23713	98	25	.	.	PUNCT
brj-23713	99	1	regarding	regard	VERB
brj-23713	99	2	the	the	DET
brj-23713	99	3	chemical	chemical	NOUN
brj-23713	99	4	composition	composition	NOUN
brj-23713	99	5	,	,	PUNCT
brj-23713	99	6	lignin	lignin	NOUN
brj-23713	99	7	content	content	NOUN
brj-23713	99	8	across	across	ADP
brj-23713	99	9	samples	sample	NOUN
brj-23713	99	10	varied	varied	ADJ
brj-23713	99	11	widely	widely	ADV
brj-23713	99	12	,	,	PUNCT
brj-23713	99	13	primarily	primarily	ADV
brj-23713	99	14	spanning	span	VERB
brj-23713	99	15	from	from	ADP
brj-23713	99	16	1.4	1.4	NUM
brj-23713	99	17	%	%	NOUN
brj-23713	99	18	to	to	ADP
brj-23713	99	19	98.64	98.64	NUM
brj-23713	99	20	%	%	NOUN
brj-23713	99	21	.	.	PUNCT
brj-23713	100	1	cellulose	cellulose	NOUN
brj-23713	100	2	and	and	CCONJ
brj-23713	100	3	hemicellulose	hemicellulose	NOUN
brj-23713	100	4	fractions	fraction	NOUN
brj-23713	100	5	,	,	PUNCT
brj-23713	100	6	both	both	PRON
brj-23713	100	7	composed	compose	VERB
brj-23713	100	8	of	of	ADP
brj-23713	100	9	carbohydrate	carbohydrate	NOUN
brj-23713	100	10	structures	structure	NOUN
brj-23713	100	11	,	,	PUNCT
brj-23713	100	12	ranged	range	VERB
brj-23713	100	13	from	from	ADP
brj-23713	100	14	0.07	0.07	NUM
brj-23713	100	15	%	%	NOUN
brj-23713	100	16	to	to	ADP
brj-23713	100	17	57.39	57.39	NUM
brj-23713	100	18	%	%	NOUN
brj-23713	100	19	and	and	CCONJ
brj-23713	100	20	0.86	0.86	NUM
brj-23713	100	21	%	%	NOUN
brj-23713	100	22	to	to	ADP
brj-23713	100	23	56.29	56.29	NUM
brj-23713	100	24	%	%	NOUN
brj-23713	100	25	,	,	PUNCT
brj-23713	100	26	respectively	respectively	ADV
brj-23713	100	27	.	.	PUNCT
brj-23713	101	1	notably	notably	ADV
brj-23713	101	2	,	,	PUNCT
brj-23713	101	3	lignin	lignin	PROPN
brj-23713	101	4	,	,	PUNCT
brj-23713	101	5	distinguished	distinguish	VERB
brj-23713	101	6	by	by	ADP
brj-23713	101	7	its	its	PRON
brj-23713	101	8	aromatic	aromatic	ADJ
brj-23713	101	9	structure	structure	NOUN
brj-23713	101	10	,	,	PUNCT
brj-23713	101	11	exhibited	exhibit	VERB
brj-23713	101	12	the	the	DET
brj-23713	101	13	greatest	great	ADJ
brj-23713	101	14	thermal	thermal	ADJ
brj-23713	101	15	stability	stability	NOUN
brj-23713	101	16	among	among	ADP
brj-23713	101	17	these	these	DET
brj-23713	101	18	components	component	NOUN
brj-23713	101	19	.	.	PUNCT
brj-23713	102	1	pyrolysis	pyrolysis	NOUN
brj-23713	102	2	temperatures	temperature	NOUN
brj-23713	102	3	reported	report	VERB
brj-23713	102	4	varied	varied	ADJ
brj-23713	102	5	extensively	extensively	ADV
brj-23713	102	6	from	from	ADP
brj-23713	102	7	180	180	NUM
brj-23713	102	8	to	to	PART
brj-23713	102	9	900	900	NUM
brj-23713	102	10	°	°	NOUN
brj-23713	102	11	c	c	NOUN
brj-23713	102	12	,	,	PUNCT
brj-23713	102	13	with	with	ADP
brj-23713	102	14	most	most	ADJ
brj-23713	102	15	studies	study	NOUN
brj-23713	102	16	concentrating	concentrate	VERB
brj-23713	102	17	within	within	ADP
brj-23713	102	18	the	the	DET
brj-23713	102	19	200	200	NUM
brj-23713	102	20	to	to	PART
brj-23713	102	21	300	300	NUM
brj-23713	102	22	°	°	NOUN
brj-23713	102	23	c	c	NOUN
brj-23713	102	24	range	range	NOUN
brj-23713	102	25	.	.	PUNCT
brj-23713	103	1	residence	residence	NOUN
brj-23713	103	2	times	time	NOUN
brj-23713	103	3	(	(	PUNCT
brj-23713	103	4	rt	rt	PROPN
brj-23713	103	5	)	)	PUNCT
brj-23713	103	6	were	be	AUX
brj-23713	103	7	typically	typically	ADV
brj-23713	103	8	brief	brief	ADJ
brj-23713	103	9	,	,	PUNCT
brj-23713	103	10	extending	extend	VERB
brj-23713	103	11	from	from	ADP
brj-23713	103	12	1.0	1.0	NUM
brj-23713	103	13	min	min	NOUN
brj-23713	103	14	to	to	ADP
brj-23713	103	15	2	2	NUM
brj-23713	103	16	h	h	NOUN
brj-23713	103	17	,	,	PUNCT
brj-23713	103	18	though	though	SCONJ
brj-23713	103	19	certain	certain	ADJ
brj-23713	103	20	experiments	experiment	NOUN
brj-23713	103	21	prolonged	prolong	VERB
brj-23713	103	22	rts	rt	NOUN
brj-23713	103	23	to	to	PART
brj-23713	103	24	enhance	enhance	VERB
brj-23713	103	25	biochar	biochar	NOUN
brj-23713	103	26	uniformity	uniformity	NOUN
brj-23713	103	27	.	.	PUNCT
brj-23713	104	1	the	the	DET
brj-23713	104	2	aggregate	aggregate	ADJ
brj-23713	104	3	mean	mean	NOUN
brj-23713	104	4	yield	yield	NOUN
brj-23713	104	5	of	of	ADP
brj-23713	104	6	biochar	biochar	NOUN
brj-23713	104	7	production	production	NOUN
brj-23713	104	8	was	be	AUX
brj-23713	104	9	recorded	record	VERB
brj-23713	104	10	at	at	ADP
brj-23713	104	11	56.2	56.2	NUM
brj-23713	104	12	wt%	wt%	NUM
brj-23713	104	13	.	.	PUNCT
brj-23713	105	1	peer	peer	NOUN
brj-23713	105	2	-	-	PUNCT
brj-23713	105	3	reviewed	review	VERB
brj-23713	105	4	article	article	NOUN
brj-23713	105	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	105	6	xu	xu	PROPN
brj-23713	105	7	et	et	PROPN
brj-23713	105	8	al	al	PROPN
brj-23713	105	9	.	.	PROPN
brj-23713	105	10	(	(	PUNCT
brj-23713	105	11	2024	2024	NUM
brj-23713	105	12	)	)	PUNCT
brj-23713	105	13	.	.	PUNCT
brj-23713	106	1	“	"	PUNCT
brj-23713	106	2	machine	machine	NOUN
brj-23713	106	3	learning	learning	NOUN
brj-23713	106	4	for	for	ADP
brj-23713	106	5	biochar	biochar	NOUN
brj-23713	106	6	,	,	PUNCT
brj-23713	106	7	”	"	PUNCT
brj-23713	106	8	bioresources	bioresource	NOUN
brj-23713	106	9	19(3	19(3	NUM
brj-23713	106	10	)	)	PUNCT
brj-23713	106	11	,	,	PUNCT
brj-23713	106	12	6545	6545	NUM
brj-23713	106	13	-	-	SYM
brj-23713	106	14	6558	6558	NUM
brj-23713	106	15	.	.	PUNCT
brj-23713	106	16	6550	6550	NUM
brj-23713	106	17	according	accord	VERB
brj-23713	106	18	to	to	ADP
brj-23713	106	19	the	the	DET
brj-23713	106	20	pearson	pearson	PROPN
brj-23713	106	21	correlation	correlation	NOUN
brj-23713	106	22	coefficient	coefficient	NOUN
brj-23713	106	23	matrix	matrix	NOUN
brj-23713	106	24	depicted	depict	VERB
brj-23713	106	25	in	in	ADP
brj-23713	106	26	fig	fig	NOUN
brj-23713	106	27	.	.	PUNCT
brj-23713	107	1	2	2	NUM
brj-23713	107	2	,	,	PUNCT
brj-23713	107	3	the	the	DET
brj-23713	107	4	strength	strength	NOUN
brj-23713	107	5	and	and	CCONJ
brj-23713	107	6	direction	direction	NOUN
brj-23713	107	7	of	of	ADP
brj-23713	107	8	linear	linear	PROPN
brj-23713	107	9	associations	association	NOUN
brj-23713	107	10	between	between	ADP
brj-23713	107	11	any	any	DET
brj-23713	107	12	pair	pair	NOUN
brj-23713	107	13	of	of	ADP
brj-23713	107	14	variables	variable	NOUN
brj-23713	107	15	were	be	AUX
brj-23713	107	16	assessed	assess	VERB
brj-23713	107	17	.	.	PUNCT
brj-23713	108	1	here	here	ADV
brj-23713	108	2	,	,	PUNCT
brj-23713	108	3	the	the	DET
brj-23713	108	4	p	p	NOUN
brj-23713	108	5	-	-	PUNCT
brj-23713	108	6	value	value	NOUN
brj-23713	108	7	served	serve	VERB
brj-23713	108	8	as	as	ADP
brj-23713	108	9	an	an	DET
brj-23713	108	10	indicator	indicator	NOUN
brj-23713	108	11	of	of	ADP
brj-23713	108	12	the	the	DET
brj-23713	108	13	statistical	statistical	ADJ
brj-23713	108	14	confidence	confidence	NOUN
brj-23713	108	15	in	in	ADP
brj-23713	108	16	these	these	DET
brj-23713	108	17	linear	linear	ADJ
brj-23713	108	18	relationships	relationship	NOUN
brj-23713	108	19	.	.	PUNCT
brj-23713	109	1	notably	notably	ADV
brj-23713	109	2	,	,	PUNCT
brj-23713	109	3	an	an	DET
brj-23713	109	4	inverse	inverse	NOUN
brj-23713	109	5	pattern	pattern	NOUN
brj-23713	109	6	emerged	emerge	VERB
brj-23713	109	7	between	between	ADP
brj-23713	109	8	the	the	DET
brj-23713	109	9	two	two	NUM
brj-23713	109	10	output	output	NOUN
brj-23713	109	11	measures	measure	NOUN
brj-23713	109	12	;	;	PUNCT
brj-23713	109	13	the	the	DET
brj-23713	109	14	biochar	biochar	NOUN
brj-23713	109	15	yield	yield	NOUN
brj-23713	109	16	exhibited	exhibit	VERB
brj-23713	109	17	a	a	DET
brj-23713	109	18	strong	strong	ADJ
brj-23713	109	19	negative	negative	ADJ
brj-23713	109	20	correlation	correlation	NOUN
brj-23713	109	21	with	with	ADP
brj-23713	109	22	fixed	fix	VERB
brj-23713	109	23	carbon	carbon	NOUN
brj-23713	109	24	(	(	PUNCT
brj-23713	109	25	fc	fc	INTJ
brj-23713	109	26	)	)	PUNCT
brj-23713	109	27	,	,	PUNCT
brj-23713	109	28	evidenced	evidence	VERB
brj-23713	109	29	by	by	ADP
brj-23713	109	30	a	a	DET
brj-23713	109	31	correlation	correlation	NOUN
brj-23713	109	32	coefficient	coefficient	NOUN
brj-23713	109	33	of	of	ADP
brj-23713	109	34	-0.75	-0.75	NUM
brj-23713	109	35	,	,	PUNCT
brj-23713	109	36	whereas	whereas	SCONJ
brj-23713	109	37	carbon	carbon	NOUN
brj-23713	109	38	(	(	PUNCT
brj-23713	109	39	c	c	NOUN
brj-23713	109	40	)	)	PUNCT
brj-23713	109	41	content	content	NOUN
brj-23713	109	42	demonstrated	demonstrate	VERB
brj-23713	109	43	a	a	DET
brj-23713	109	44	distinct	distinct	ADJ
brj-23713	109	45	positive	positive	ADJ
brj-23713	109	46	correlation	correlation	NOUN
brj-23713	109	47	with	with	ADP
brj-23713	109	48	fc	fc	PROPN
brj-23713	109	49	,	,	PUNCT
brj-23713	109	50	with	with	ADP
brj-23713	109	51	a	a	DET
brj-23713	109	52	coefficient	coefficient	NOUN
brj-23713	109	53	of	of	ADP
brj-23713	109	54	0.59	0.59	NUM
brj-23713	109	55	.	.	PUNCT
brj-23713	110	1	this	this	DET
brj-23713	110	2	inverse	inverse	NOUN
brj-23713	110	3	implies	imply	VERB
brj-23713	110	4	that	that	SCONJ
brj-23713	110	5	conditions	condition	NOUN
brj-23713	110	6	favoring	favor	VERB
brj-23713	110	7	one	one	NUM
brj-23713	110	8	output	output	NOUN
brj-23713	110	9	tend	tend	VERB
brj-23713	110	10	to	to	PART
brj-23713	110	11	be	be	AUX
brj-23713	110	12	detrimental	detrimental	ADJ
brj-23713	110	13	to	to	ADP
brj-23713	110	14	the	the	DET
brj-23713	110	15	other	other	ADJ
brj-23713	110	16	.	.	PUNCT
brj-23713	111	1	the	the	DET
brj-23713	111	2	pyrolysis	pyrolysis	NOUN
brj-23713	111	3	temperature	temperature	NOUN
brj-23713	111	4	followed	follow	VERB
brj-23713	111	5	a	a	DET
brj-23713	111	6	similar	similar	ADJ
brj-23713	111	7	trend	trend	NOUN
brj-23713	111	8	,	,	PUNCT
brj-23713	111	9	facilitating	facilitate	VERB
brj-23713	111	10	the	the	DET
brj-23713	111	11	degradation	degradation	NOUN
brj-23713	111	12	of	of	ADP
brj-23713	111	13	organic	organic	ADJ
brj-23713	111	14	substances	substance	NOUN
brj-23713	111	15	into	into	ADP
brj-23713	111	16	volatiles	volatile	NOUN
brj-23713	111	17	and	and	CCONJ
brj-23713	111	18	promoting	promote	VERB
brj-23713	111	19	the	the	DET
brj-23713	111	20	formation	formation	NOUN
brj-23713	111	21	of	of	ADP
brj-23713	111	22	a	a	DET
brj-23713	111	23	carbon	carbon	NOUN
brj-23713	111	24	-	-	PUNCT
brj-23713	111	25	rich	rich	ADJ
brj-23713	111	26	residue	residue	NOUN
brj-23713	111	27	,	,	PUNCT
brj-23713	111	28	leading	lead	VERB
brj-23713	111	29	to	to	ADP
brj-23713	111	30	reduced	reduce	VERB
brj-23713	111	31	yields	yield	NOUN
brj-23713	111	32	but	but	CCONJ
brj-23713	111	33	enhanced	enhance	VERB
brj-23713	111	34	c	c	PROPN
brj-23713	111	35	content	content	NOUN
brj-23713	111	36	.	.	PUNCT
brj-23713	112	1	apart	apart	ADV
brj-23713	112	2	from	from	ADP
brj-23713	112	3	thermal	thermal	ADJ
brj-23713	112	4	conditions	condition	NOUN
brj-23713	112	5	,	,	PUNCT
brj-23713	112	6	biochar	biochar	NOUN
brj-23713	112	7	yield	yield	NOUN
brj-23713	112	8	revealed	reveal	VERB
brj-23713	112	9	a	a	DET
brj-23713	112	10	positive	positive	ADJ
brj-23713	112	11	association	association	NOUN
brj-23713	112	12	with	with	ADP
brj-23713	112	13	cellulose	cellulose	NOUN
brj-23713	112	14	content	content	NOUN
brj-23713	112	15	and	and	CCONJ
brj-23713	112	16	a	a	DET
brj-23713	112	17	contrasting	contrast	VERB
brj-23713	112	18	negative	negative	ADJ
brj-23713	112	19	correlation	correlation	NOUN
brj-23713	112	20	with	with	ADP
brj-23713	112	21	hemicellulose	hemicellulose	NOUN
brj-23713	112	22	and	and	CCONJ
brj-23713	112	23	lignin	lignin	NOUN
brj-23713	112	24	contents	content	NOUN
brj-23713	112	25	,	,	PUNCT
brj-23713	112	26	with	with	ADP
brj-23713	112	27	the	the	DET
brj-23713	112	28	magnitude	magnitude	NOUN
brj-23713	112	29	of	of	ADP
brj-23713	112	30	these	these	DET
brj-23713	112	31	correlations	correlation	NOUN
brj-23713	112	32	decreasing	decrease	VERB
brj-23713	112	33	in	in	ADP
brj-23713	112	34	that	that	DET
brj-23713	112	35	order	order	NOUN
brj-23713	112	36	.	.	PUNCT
brj-23713	113	1	this	this	DET
brj-23713	113	2	observation	observation	NOUN
brj-23713	113	3	aligns	align	VERB
brj-23713	113	4	with	with	ADP
brj-23713	113	5	previous	previous	ADJ
brj-23713	113	6	findings	finding	NOUN
brj-23713	113	7	,	,	PUNCT
brj-23713	113	8	suggesting	suggest	VERB
brj-23713	113	9	that	that	SCONJ
brj-23713	113	10	at	at	ADP
brj-23713	113	11	lower	low	ADJ
brj-23713	113	12	temperatures	temperature	NOUN
brj-23713	113	13	,	,	PUNCT
brj-23713	113	14	hemicellulose	hemicellulose	NOUN
brj-23713	113	15	and	and	CCONJ
brj-23713	113	16	cellulose	cellulose	NOUN
brj-23713	113	17	are	be	AUX
brj-23713	113	18	more	more	ADV
brj-23713	113	19	readily	readily	ADV
brj-23713	113	20	broken	break	VERB
brj-23713	113	21	down	down	ADP
brj-23713	113	22	compared	compare	VERB
brj-23713	113	23	to	to	ADP
brj-23713	113	24	lignin	lignin	PROPN
brj-23713	113	25	,	,	PUNCT
brj-23713	113	26	resulting	result	VERB
brj-23713	113	27	in	in	ADP
brj-23713	113	28	lower	low	ADJ
brj-23713	113	29	conversion	conversion	NOUN
brj-23713	113	30	rates	rate	NOUN
brj-23713	113	31	to	to	ADP
brj-23713	113	32	biochar	biochar	NOUN
brj-23713	113	33	(	(	PUNCT
brj-23713	113	34	zhang	zhang	PROPN
brj-23713	113	35	et	et	PROPN
brj-23713	113	36	al	al	PROPN
brj-23713	113	37	.	.	PROPN
brj-23713	113	38	2024	2024	NUM
brj-23713	113	39	)	)	PUNCT
brj-23713	113	40	.	.	PUNCT
brj-23713	114	1	this	this	PRON
brj-23713	114	2	is	be	AUX
brj-23713	114	3	due	due	ADJ
brj-23713	114	4	to	to	ADP
brj-23713	114	5	the	the	DET
brj-23713	114	6	preferential	preferential	ADJ
brj-23713	114	7	degradation	degradation	NOUN
brj-23713	114	8	of	of	ADP
brj-23713	114	9	lignin	lignin	NOUN
brj-23713	114	10	,	,	PUNCT
brj-23713	114	11	hemicellulose	hemicellulose	NOUN
brj-23713	114	12	and	and	CCONJ
brj-23713	114	13	cellulose	cellulose	NOUN
brj-23713	114	14	at	at	ADP
brj-23713	114	15	the	the	DET
brj-23713	114	16	temperature	temperature	NOUN
brj-23713	114	17	level	level	NOUN
brj-23713	114	18	,	,	PUNCT
brj-23713	114	19	where	where	SCONJ
brj-23713	114	20	hemicellulose	hemicellulose	NOUN
brj-23713	114	21	begins	begin	VERB
brj-23713	114	22	to	to	PART
brj-23713	114	23	decompose	decompose	VERB
brj-23713	114	24	at	at	ADP
brj-23713	114	25	lower	low	ADJ
brj-23713	114	26	temperatures	temperature	NOUN
brj-23713	114	27	around	around	ADP
brj-23713	114	28	170	170	NUM
brj-23713	114	29	to	to	PART
brj-23713	114	30	300	300	NUM
brj-23713	114	31	°	°	NOUN
brj-23713	114	32	c	c	NOUN
brj-23713	114	33	,	,	PUNCT
brj-23713	114	34	followed	follow	VERB
brj-23713	114	35	by	by	ADP
brj-23713	114	36	the	the	DET
brj-23713	114	37	initial	initial	ADJ
brj-23713	114	38	stages	stage	NOUN
brj-23713	114	39	of	of	ADP
brj-23713	114	40	cellulose	cellulose	NOUN
brj-23713	114	41	degradation	degradation	NOUN
brj-23713	114	42	at	at	ADP
brj-23713	114	43	similar	similar	ADJ
brj-23713	114	44	temperatures	temperature	NOUN
brj-23713	114	45	,	,	PUNCT
brj-23713	114	46	whereas	whereas	SCONJ
brj-23713	114	47	the	the	DET
brj-23713	114	48	lignin	lignin	PROPN
brj-23713	114	49	component	component	NOUN
brj-23713	114	50	undergoes	undergo	VERB
brj-23713	114	51	thermal	thermal	ADJ
brj-23713	114	52	decomposition	decomposition	NOUN
brj-23713	114	53	over	over	ADP
brj-23713	114	54	a	a	DET
brj-23713	114	55	wider	wide	ADJ
brj-23713	114	56	temperature	temperature	NOUN
brj-23713	114	57	range	range	NOUN
brj-23713	114	58	between	between	ADP
brj-23713	114	59	170	170	NUM
brj-23713	114	60	and	and	CCONJ
brj-23713	114	61	560	560	NUM
brj-23713	115	1	°	°	NOUN
brj-23713	115	2	c	c	NOUN
brj-23713	115	3	,	,	PUNCT
brj-23713	115	4	with	with	ADP
brj-23713	115	5	the	the	DET
brj-23713	115	6	more	more	ADV
brj-23713	115	7	advanced	advanced	ADJ
brj-23713	115	8	stages	stage	NOUN
brj-23713	115	9	of	of	ADP
brj-23713	115	10	cellulose	cellulose	NOUN
brj-23713	115	11	degradation	degradation	NOUN
brj-23713	115	12	occurring	occur	VERB
brj-23713	115	13	at	at	ADP
brj-23713	115	14	higher	high	ADJ
brj-23713	115	15	temperatures	temperature	NOUN
brj-23713	115	16	between	between	ADP
brj-23713	115	17	300	300	NUM
brj-23713	115	18	and	and	CCONJ
brj-23713	115	19	360	360	NUM
brj-23713	115	20	°	°	NOUN
brj-23713	115	21	c	c	NOUN
brj-23713	115	22	,	,	PUNCT
brj-23713	115	23	with	with	ADP
brj-23713	115	24	more	more	ADV
brj-23713	115	25	advanced	advanced	ADJ
brj-23713	115	26	stages	stage	NOUN
brj-23713	115	27	of	of	ADP
brj-23713	115	28	cellulose	cellulose	NOUN
brj-23713	115	29	degradation	degradation	NOUN
brj-23713	115	30	occurring	occur	VERB
brj-23713	115	31	at	at	ADP
brj-23713	115	32	higher	high	ADJ
brj-23713	115	33	temperatures	temperature	NOUN
brj-23713	115	34	between	between	ADP
brj-23713	115	35	300	300	NUM
brj-23713	115	36	and	and	CCONJ
brj-23713	115	37	36	36	NUM
brj-23713	115	38	0	0	NUM
brj-23713	115	39	°	°	ADP
brj-23713	115	40	c	c	X
brj-23713	115	41	(	(	PUNCT
brj-23713	115	42	zhang	zhang	X
brj-23713	115	43	et	et	PROPN
brj-23713	115	44	al	al	PROPN
brj-23713	115	45	.	.	PROPN
brj-23713	115	46	2021	2021	NUM
brj-23713	115	47	)	)	PUNCT
brj-23713	115	48	.	.	PUNCT
brj-23713	116	1	furthermore	furthermore	ADV
brj-23713	116	2	,	,	PUNCT
brj-23713	116	3	the	the	DET
brj-23713	116	4	pearson	pearson	PROPN
brj-23713	116	5	correlation	correlation	NOUN
brj-23713	116	6	matrix	matrix	NOUN
brj-23713	116	7	also	also	ADV
brj-23713	116	8	enabled	enable	VERB
brj-23713	116	9	the	the	DET
brj-23713	116	10	exploration	exploration	NOUN
brj-23713	116	11	of	of	ADP
brj-23713	116	12	relationships	relationship	NOUN
brj-23713	116	13	among	among	ADP
brj-23713	116	14	input	input	NOUN
brj-23713	116	15	variables	variable	NOUN
brj-23713	116	16	.	.	PUNCT
brj-23713	117	1	fig	fig	NOUN
brj-23713	117	2	.	.	PUNCT
brj-23713	118	1	1	1	NUM
brj-23713	118	2	.	.	X
brj-23713	118	3	violin	violin	NOUN
brj-23713	118	4	plot	plot	NOUN
brj-23713	118	5	of	of	ADP
brj-23713	118	6	(	(	PUNCT
brj-23713	118	7	a	a	DET
brj-23713	118	8	)	)	PUNCT
brj-23713	118	9	elemental	elemental	ADJ
brj-23713	118	10	composition	composition	NOUN
brj-23713	118	11	,	,	PUNCT
brj-23713	118	12	(	(	PUNCT
brj-23713	118	13	b	b	X
brj-23713	118	14	)	)	PUNCT
brj-23713	118	15	proximate	proximate	NOUN
brj-23713	118	16	composition	composition	NOUN
brj-23713	118	17	and	and	CCONJ
brj-23713	118	18	hhv	hhv	NOUN
brj-23713	118	19	of	of	ADP
brj-23713	118	20	biochar	biochar	NOUN
brj-23713	118	21	,	,	PUNCT
brj-23713	118	22	(	(	PUNCT
brj-23713	118	23	c	c	X
brj-23713	118	24	)	)	PUNCT
brj-23713	118	25	proximate	proximate	NOUN
brj-23713	118	26	composition	composition	NOUN
brj-23713	118	27	of	of	ADP
brj-23713	118	28	biomass	biomass	NOUN
brj-23713	118	29	,	,	PUNCT
brj-23713	118	30	and	and	CCONJ
brj-23713	118	31	(	(	PUNCT
brj-23713	118	32	d	d	X
brj-23713	118	33	)	)	PUNCT
brj-23713	118	34	torrefaction	torrefaction	NOUN
brj-23713	118	35	conditions	condition	NOUN
brj-23713	118	36	and	and	CCONJ
brj-23713	118	37	biochar	biochar	NOUN
brj-23713	118	38	yield	yield	NOUN
brj-23713	118	39	peer	peer	NOUN
brj-23713	118	40	-	-	PUNCT
brj-23713	118	41	reviewed	review	VERB
brj-23713	118	42	article	article	NOUN
brj-23713	118	43	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	118	44	xu	xu	PROPN
brj-23713	118	45	et	et	PROPN
brj-23713	118	46	al	al	PROPN
brj-23713	118	47	.	.	PROPN
brj-23713	119	1	(	(	PUNCT
brj-23713	119	2	2024	2024	NUM
brj-23713	119	3	)	)	PUNCT
brj-23713	119	4	.	.	PUNCT
brj-23713	120	1	“	"	PUNCT
brj-23713	120	2	machine	machine	NOUN
brj-23713	120	3	learning	learning	NOUN
brj-23713	120	4	for	for	ADP
brj-23713	120	5	biochar	biochar	NOUN
brj-23713	120	6	,	,	PUNCT
brj-23713	120	7	”	"	PUNCT
brj-23713	120	8	bioresources	bioresource	NOUN
brj-23713	120	9	19(3	19(3	NUM
brj-23713	120	10	)	)	PUNCT
brj-23713	120	11	,	,	PUNCT
brj-23713	120	12	6545	6545	NUM
brj-23713	120	13	-	-	SYM
brj-23713	120	14	6558	6558	NUM
brj-23713	120	15	.	.	PUNCT
brj-23713	121	1	6551	6551	NUM
brj-23713	121	2	1	1	NUM
brj-23713	121	3	-0.075	-0.075	SYM
brj-23713	121	4	-0.1	-0.1	PROPN
brj-23713	121	5	0.063	0.063	NUM
brj-23713	121	6	-0.058	-0.058	NUM
brj-23713	121	7	0.08	0.08	NUM
brj-23713	121	8	-0.22	-0.22	NUM
brj-23713	121	9	0.15	0.15	NUM
brj-23713	121	10	0.24	0.24	NUM
brj-23713	121	11	-0.18	-0.18	NUM
brj-23713	121	12	-0.26	-0.26	NOUN
brj-23713	121	13	0.1	0.1	NUM
brj-23713	121	14	0.2	0.2	NUM
brj-23713	121	15	-0.094	-0.094	PUNCT
brj-23713	121	16	-0.22	-0.22	NUM
brj-23713	121	17	-0.15	-0.15	NUM
brj-23713	121	18	0.11	0.11	NUM
brj-23713	121	19	-0.16	-0.16	NUM
brj-23713	121	20	-0.075	-0.075	NUM
brj-23713	121	21	1	1	NUM
brj-23713	121	22	-0.59	-0.59	NUM
brj-23713	121	23	-0.45	-0.45	NUM
brj-23713	121	24	0.076	0.076	NUM
brj-23713	121	25	0.048	0.048	NUM
brj-23713	121	26	0.63	0.63	NUM
brj-23713	121	27	-0.72	-0.72	NUM
brj-23713	121	28	0.44	0.44	NUM
brj-23713	121	29	-0.011	-0.011	NUM
brj-23713	121	30	0.1	0.1	NUM
brj-23713	121	31	-0.056	-0.056	NUM
brj-23713	121	32	0.014	0.014	NUM
brj-23713	121	33	0.0098	0.0098	NUM
brj-23713	121	34	-0.052	-0.052	NUM
brj-23713	121	35	0.19	0.19	NUM
brj-23713	121	36	-0.85	-0.85	NOUN
brj-23713	121	37	0.43	0.43	NUM
brj-23713	121	38	-0.1	-0.1	NOUN
brj-23713	121	39	-0.59	-0.59	NUM
brj-23713	121	40	1	1	NUM
brj-23713	121	41	0.41	0.41	NUM
brj-23713	121	42	-0.15	-0.15	NUM
brj-23713	121	43	0.21	0.21	NUM
brj-23713	121	44	-0.47	-0.47	PRON
brj-23713	121	45	0.6	0.6	NUM
brj-23713	121	46	-0.54	-0.54	PROPN
brj-23713	121	47	0.059	0.059	NUM
brj-23713	121	48	0.12	0.12	NUM
brj-23713	121	49	-0.081	-0.081	PROPN
brj-23713	121	50	0.027	0.027	NUM
brj-23713	121	51	-0.087	-0.087	X
brj-23713	121	52	-0.085	-0.085	X
brj-23713	121	53	-0.11	-0.11	X
brj-23713	121	54	0.53	0.53	NUM
brj-23713	121	55	-0.36	-0.36	NUM
brj-23713	121	56	0.063	0.063	NUM
brj-23713	121	57	-0.45	-0.45	NUM
brj-23713	121	58	0.41	0.41	NUM
brj-23713	121	59	1	1	NUM
brj-23713	121	60	-0.16	-0.16	NUM
brj-23713	121	61	0.008	0.008	NUM
brj-23713	121	62	-0.51	-0.51	NOUN
brj-23713	121	63	0.54	0.54	NUM
brj-23713	121	64	-0.33	-0.33	NUM
brj-23713	121	65	0.21	0.21	NUM
brj-23713	121	66	0.15	0.15	NUM
brj-23713	121	67	-0.23	-0.23	NOUN
brj-23713	121	68	-0.0031	-0.0031	NOUN
brj-23713	121	69	0.072	0.072	NUM
brj-23713	121	70	0.13	0.13	NUM
brj-23713	121	71	-0.15	-0.15	NUM
brj-23713	121	72	0.53	0.53	NUM
brj-23713	121	73	-0.85	-0.85	NOUN
brj-23713	121	74	-0.058	-0.058	PUNCT
brj-23713	122	1	0.076	0.076	NUM
brj-23713	122	2	-0.15	-0.15	NUM
brj-23713	122	3	-0.16	-0.16	PROPN
brj-23713	122	4	1	1	NUM
brj-23713	122	5	0.0014	0.0014	NUM
brj-23713	122	6	0.012	0.012	NUM
brj-23713	122	7	-0.13	-0.13	NUM
brj-23713	122	8	0.35	0.35	NUM
brj-23713	122	9	-0.095	-0.095	NUM
brj-23713	122	10	0.014	0.014	NUM
brj-23713	122	11	0.015	0.015	NUM
brj-23713	122	12	-0.053	-0.053	NUM
brj-23713	122	13	0.2	0.2	NUM
brj-23713	122	14	-0.031	-0.031	NUM
brj-23713	122	15	-0.09	-0.09	NUM
brj-23713	122	16	-0.072	-0.072	NOUN
brj-23713	122	17	-0.016	-0.016	ADP
brj-23713	122	18	0.08	0.08	NUM
brj-23713	122	19	0.048	0.048	NUM
brj-23713	122	20	0.21	0.21	NUM
brj-23713	122	21	0.008	0.008	NUM
brj-23713	122	22	0.0014	0.0014	NUM
brj-23713	122	23	1	1	NUM
brj-23713	122	24	0.0097	0.0097	NUM
brj-23713	122	25	-0.066	-0.066	NOUN
brj-23713	122	26	0.079	0.079	NUM
brj-23713	122	27	0.088	0.088	NUM
brj-23713	122	28	0.036	0.036	NUM
brj-23713	122	29	-0.054	-0.054	NOUN
brj-23713	122	30	0.0094	0.0094	NUM
brj-23713	122	31	0.024	0.024	NUM
brj-23713	122	32	-0.19	-0.19	NUM
brj-23713	122	33	-0.26	-0.26	X
brj-23713	122	34	-0.029	-0.029	NOUN
brj-23713	122	35	-0.22	-0.22	NUM
brj-23713	122	36	-0.22	-0.22	NUM
brj-23713	122	37	0.63	0.63	NUM
brj-23713	122	38	-0.47	-0.47	PRON
brj-23713	122	39	-0.51	-0.51	NOUN
brj-23713	122	40	0.012	0.012	NUM
brj-23713	122	41	0.0097	0.0097	NUM
brj-23713	122	42	1	1	NUM
brj-23713	122	43	-0.94	-0.94	NUM
brj-23713	122	44	0.26	0.26	NUM
brj-23713	122	45	-0.061	-0.061	PUNCT
brj-23713	123	1	0.0024	0.0024	NUM
brj-23713	123	2	0.16	0.16	NUM
brj-23713	123	3	0.023	0.023	NUM
brj-23713	123	4	0.12	0.12	NUM
brj-23713	123	5	-0.098	-0.098	SYM
brj-23713	123	6	0.36	0.36	NUM
brj-23713	123	7	-0.75	-0.75	NUM
brj-23713	123	8	0.59	0.59	NUM
brj-23713	123	9	0.15	0.15	NUM
brj-23713	123	10	-0.72	-0.72	NOUN
brj-23713	123	11	0.6	0.6	NUM
brj-23713	123	12	0.54	0.54	NUM
brj-23713	123	13	-0.13	-0.13	NUM
brj-23713	124	1	-0.066	-0.066	NUM
brj-23713	124	2	-0.94	-0.94	NUM
brj-23713	124	3	1	1	NUM
brj-23713	124	4	-0.53	-0.53	NOUN
brj-23713	124	5	0.038	0.038	NUM
brj-23713	124	6	-0.017	-0.017	PUNCT
brj-23713	124	7	-0.081	-0.081	PROPN
brj-23713	124	8	0.02	0.02	NUM
brj-23713	124	9	-0.11	-0.11	NUM
brj-23713	124	10	0.13	0.13	NUM
brj-23713	124	11	-0.23	-0.23	NUM
brj-23713	124	12	0.75	0.75	NUM
brj-23713	124	13	-0.51	-0.51	NOUN
brj-23713	124	14	0.24	0.24	NUM
brj-23713	124	15	0.44	0.44	NUM
brj-23713	124	16	-0.54	-0.54	NOUN
brj-23713	124	17	-0.33	-0.33	NUM
brj-23713	124	18	0.35	0.35	NUM
brj-23713	124	19	0.079	0.079	NUM
brj-23713	124	20	0.26	0.26	NUM
brj-23713	124	21	-0.53	-0.53	NOUN
brj-23713	124	22	1	1	NUM
brj-23713	124	23	-0.088	-0.088	NUM
brj-23713	124	24	-0.2	-0.2	PROPN
brj-23713	124	25	0.0023	0.0023	NUM
brj-23713	124	26	-0.16	-0.16	NUM
brj-23713	124	27	0.0088	0.0088	NUM
brj-23713	124	28	-0.18	-0.18	NUM
brj-23713	124	29	-0.17	-0.17	PROPN
brj-23713	124	30	-0.3	-0.3	PROPN
brj-23713	124	31	0.065	0.065	NUM
brj-23713	124	32	-0.18	-0.18	NUM
brj-23713	124	33	-0.011	-0.011	NUM
brj-23713	124	34	0.059	0.059	NUM
brj-23713	124	35	0.21	0.21	NUM
brj-23713	124	36	-0.095	-0.095	NUM
brj-23713	124	37	0.088	0.088	NUM
brj-23713	124	38	-0.061	-0.061	NOUN
brj-23713	124	39	0.038	0.038	NUM
brj-23713	124	40	-0.088	-0.088	ADP
brj-23713	124	41	1	1	NUM
brj-23713	124	42	0.013	0.013	NUM
brj-23713	124	43	-0.38	-0.38	NUM
brj-23713	124	44	0.17	0.17	NUM
brj-23713	124	45	-0.046	-0.046	NUM
brj-23713	124	46	0.059	0.059	NUM
brj-23713	124	47	-0.32	-0.32	VERB
brj-23713	124	48	0.16	0.16	NUM
brj-23713	124	49	-0.33	-0.33	NUM
brj-23713	124	50	-0.26	-0.26	PROPN
brj-23713	124	51	0.1	0.1	NUM
brj-23713	124	52	0.12	0.12	NUM
brj-23713	124	53	0.15	0.15	NUM
brj-23713	124	54	0.014	0.014	NUM
brj-23713	124	55	0.036	0.036	NUM
brj-23713	124	56	0.0024	0.0024	NUM
brj-23713	124	57	-0.017	-0.017	CCONJ
brj-23713	124	58	-0.2	-0.2	PROPN
brj-23713	124	59	0.013	0.013	NUM
brj-23713	124	60	1	1	NUM
brj-23713	124	61	-0.57	-0.57	NOUN
brj-23713	124	62	-0.097	-0.097	NUM
brj-23713	124	63	0.078	0.078	NUM
brj-23713	124	64	0.34	0.34	NUM
brj-23713	124	65	0.14	0.14	NUM
brj-23713	124	66	-0.068	-0.068	NOUN
brj-23713	125	1	-0.054	-0.054	NOUN
brj-23713	125	2	0.1	0.1	NUM
brj-23713	125	3	-0.056	-0.056	NUM
brj-23713	125	4	-0.081	-0.081	NOUN
brj-23713	126	1	-0.23	-0.23	DET
brj-23713	126	2	0.015	0.015	NUM
brj-23713	126	3	-0.054	-0.054	NUM
brj-23713	127	1	0.16	0.16	NUM
brj-23713	127	2	-0.081	-0.081	PROPN
brj-23713	127	3	0.0023	0.0023	NUM
brj-23713	127	4	-0.38	-0.38	PUNCT
brj-23713	127	5	-0.57	-0.57	PROPN
brj-23713	127	6	1	1	NUM
brj-23713	127	7	-0.04	-0.04	NUM
brj-23713	127	8	-0.053	-0.053	NOUN
brj-23713	127	9	-0.16	-0.16	NUM
brj-23713	127	10	0.19	0.19	NUM
brj-23713	127	11	-0.14	-0.14	NUM
brj-23713	127	12	0.27	0.27	NUM
brj-23713	127	13	0.2	0.2	NUM
brj-23713	127	14	0.014	0.014	NUM
brj-23713	127	15	0.027	0.027	NUM
brj-23713	127	16	-0.0031	-0.0031	NOUN
brj-23713	127	17	-0.053	-0.053	NUM
brj-23713	127	18	0.0094	0.0094	NUM
brj-23713	127	19	0.023	0.023	NUM
brj-23713	127	20	0.02	0.02	NUM
brj-23713	127	21	-0.16	-0.16	NUM
brj-23713	127	22	0.17	0.17	NUM
brj-23713	127	23	-0.097	-0.097	PUNCT
brj-23713	127	24	-0.04	-0.04	NUM
brj-23713	127	25	1	1	NUM
brj-23713	127	26	-0.011	-0.011	NUM
brj-23713	127	27	-0.16	-0.16	PRON
brj-23713	127	28	-0.1	-0.1	PROPN
brj-23713	127	29	-0.06	-0.06	PROPN
brj-23713	127	30	0.047	0.047	NUM
brj-23713	127	31	-0.094	-0.094	VERB
brj-23713	127	32	0.0098	0.0098	NUM
brj-23713	127	33	-0.087	-0.087	NOUN
brj-23713	127	34	0.072	0.072	NUM
brj-23713	127	35	0.2	0.2	NUM
brj-23713	127	36	0.024	0.024	NUM
brj-23713	127	37	0.12	0.12	NUM
brj-23713	127	38	-0.11	-0.11	NUM
brj-23713	127	39	0.0088	0.0088	NUM
brj-23713	127	40	-0.046	-0.046	NUM
brj-23713	127	41	0.078	0.078	NUM
brj-23713	127	42	-0.053	-0.053	NUM
brj-23713	127	43	-0.011	-0.011	NUM
brj-23713	127	44	1	1	NUM
brj-23713	127	45	0.0046	0.0046	NUM
brj-23713	127	46	0.17	0.17	NUM
brj-23713	127	47	-0.033	-0.033	PUNCT
brj-23713	127	48	0.031	0.031	NUM
brj-23713	127	49	-0.22	-0.22	NUM
brj-23713	127	50	-0.052	-0.052	PROPN
brj-23713	127	51	-0.085	-0.085	NOUN
brj-23713	127	52	0.13	0.13	NUM
brj-23713	127	53	-0.031	-0.031	NOUN
brj-23713	127	54	-0.19	-0.19	NOUN
brj-23713	127	55	-0.098	-0.098	SYM
brj-23713	127	56	0.13	0.13	NUM
brj-23713	127	57	-0.18	-0.18	NUM
brj-23713	127	58	0.059	0.059	NUM
brj-23713	127	59	0.34	0.34	NUM
brj-23713	127	60	-0.16	-0.16	PRON
brj-23713	127	61	-0.16	-0.16	NUM
brj-23713	127	62	0.0046	0.0046	NUM
brj-23713	127	63	1	1	NUM
brj-23713	127	64	0.0059	0.0059	NUM
brj-23713	127	65	0.043	0.043	NUM
brj-23713	127	66	-0.087	-0.087	PUNCT
brj-23713	127	67	-0.15	-0.15	NUM
brj-23713	127	68	0.19	0.19	NUM
brj-23713	127	69	-0.11	-0.11	NUM
brj-23713	127	70	-0.15	-0.15	NUM
brj-23713	127	71	-0.09	-0.09	NUM
brj-23713	127	72	-0.26	-0.26	NOUN
brj-23713	127	73	0.36	0.36	NUM
brj-23713	127	74	-0.23	-0.23	PRON
brj-23713	127	75	-0.17	-0.17	PROPN
brj-23713	127	76	-0.32	-0.32	VERB
brj-23713	127	77	0.14	0.14	NUM
brj-23713	127	78	0.19	0.19	NUM
brj-23713	127	79	-0.1	-0.1	PROPN
brj-23713	127	80	0.17	0.17	NUM
brj-23713	127	81	0.0059	0.0059	NUM
brj-23713	127	82	1	1	NUM
brj-23713	127	83	-0.36	-0.36	NUM
brj-23713	127	84	0.43	0.43	NUM
brj-23713	127	85	0.11	0.11	NUM
brj-23713	127	86	-0.85	-0.85	NOUN
brj-23713	127	87	0.53	0.53	NUM
brj-23713	127	88	0.53	0.53	NUM
brj-23713	127	89	-0.072	-0.072	NOUN
brj-23713	127	90	-0.029	-0.029	PROPN
brj-23713	127	91	-0.75	-0.75	NUM
brj-23713	127	92	0.75	0.75	NUM
brj-23713	127	93	-0.3	-0.3	PROPN
brj-23713	127	94	0.16	0.16	NUM
brj-23713	127	95	-0.068	-0.068	PUNCT
brj-23713	127	96	-0.14	-0.14	NUM
brj-23713	127	97	-0.06	-0.06	PROPN
brj-23713	127	98	-0.033	-0.033	PROPN
brj-23713	127	99	0.043	0.043	NUM
brj-23713	127	100	-0.36	-0.36	NUM
brj-23713	127	101	1	1	NUM
brj-23713	127	102	-0.59	-0.59	NUM
brj-23713	127	103	-0.16	-0.16	NUM
brj-23713	127	104	0.43	0.43	NUM
brj-23713	127	105	-0.36	-0.36	NUM
brj-23713	127	106	-0.85	-0.85	NOUN
brj-23713	127	107	-0.016	-0.016	NUM
brj-23713	127	108	-0.22	-0.22	NOUN
brj-23713	127	109	0.59	0.59	NUM
brj-23713	127	110	-0.51	-0.51	NOUN
brj-23713	128	1	0.065	0.065	NUM
brj-23713	128	2	-0.33	-0.33	INTJ
brj-23713	129	1	-0.054	-0.054	X
brj-23713	129	2	0.27	0.27	NUM
brj-23713	129	3	0.047	0.047	NUM
brj-23713	129	4	0.031	0.031	NUM
brj-23713	129	5	-0.087	-0.087	NOUN
brj-23713	129	6	0.43	0.43	NUM
brj-23713	129	7	-0.59	-0.59	NUM
brj-23713	129	8	1	1	NUM
brj-23713	129	9	fee	fee	NOUN
brj-23713	129	10	ds	ds	NOUN
brj-23713	130	1	to	to	ADP
brj-23713	130	2	ck	ck	PROPN
brj-23713	130	3	s	s	PROPN
brj-23713	130	4	tem	tem	PROPN
brj-23713	130	5	pe	pe	INTJ
brj-23713	130	6	ra	ra	PROPN
brj-23713	130	7	tu	tu	PROPN
brj-23713	130	8	re	re	PROPN
brj-23713	130	9	h	h	PROPN
brj-23713	130	10	o	o	PROPN
brj-23713	130	11	n	n	CCONJ
brj-23713	130	12	s	s	X
brj-23713	130	13	fc	fc	PROPN
brj-23713	130	14	v	v	PROPN
brj-23713	130	15	m	m	PROPN
brj-23713	130	16	a	a	PRON
brj-23713	130	17	sh	sh	INTJ
brj-23713	130	18	c	c	NOUN
brj-23713	130	19	l	l	NOUN
brj-23713	131	1	h	h	NOUN
brj-23713	132	1	c	c	NOUN
brj-23713	132	2	lg	lg	PROPN
brj-23713	133	1	sm	sm	PROPN
brj-23713	133	2	r	r	NOUN
brj-23713	133	3	t	t	NOUN
brj-23713	133	4	h	h	NOUN
brj-23713	133	5	r	r	NOUN
brj-23713	133	6	h	h	NOUN
brj-23713	133	7	h	h	NOUN
brj-23713	133	8	v	v	ADP
brj-23713	133	9	y	y	PROPN
brj-23713	133	10	ie	ie	X
brj-23713	133	11	ld	ld	PROPN
brj-23713	133	12	c	c	PROPN
brj-23713	133	13	feedstocks	feedstock	VERB
brj-23713	133	14	temperature	temperature	NOUN
brj-23713	134	1	h	h	NOUN
brj-23713	134	2	o	o	NOUN
brj-23713	134	3	n	n	PROPN
brj-23713	134	4	s	s	PROPN
brj-23713	134	5	fc	fc	PROPN
brj-23713	134	6	vm	vm	PROPN
brj-23713	134	7	ash	ash	PROPN
brj-23713	134	8	cl	cl	NOUN
brj-23713	134	9	hc	hc	INTJ
brj-23713	134	10	lg	lg	PROPN
brj-23713	134	11	sm	sm	PROPN
brj-23713	134	12	rt	rt	PROPN
brj-23713	134	13	hr	hr	PROPN
brj-23713	134	14	hhv	hhv	PROPN
brj-23713	134	15	yield	yield	NOUN
brj-23713	134	16	c	c	PROPN
brj-23713	134	17	-1	-1	PROPN
brj-23713	134	18	-0.8	-0.8	PROPN
brj-23713	134	19	-0.6	-0.6	PROPN
brj-23713	134	20	-0.4	-0.4	X
brj-23713	134	21	-0.2	-0.2	PROPN
brj-23713	134	22	0	0	NUM
brj-23713	134	23	0.2	0.2	NUM
brj-23713	134	24	0.4	0.4	NUM
brj-23713	134	25	0.6	0.6	NUM
brj-23713	134	26	0.8	0.8	NUM
brj-23713	134	27	1	1	NUM
brj-23713	134	28	fig	fig	NOUN
brj-23713	134	29	.	.	PUNCT
brj-23713	135	1	2	2	X
brj-23713	135	2	.	.	X
brj-23713	135	3	pearson	pearson	PROPN
brj-23713	135	4	correlation	correlation	NOUN
brj-23713	135	5	matrix	matrix	NOUN
brj-23713	135	6	between	between	ADP
brj-23713	135	7	any	any	DET
brj-23713	135	8	two	two	NUM
brj-23713	135	9	variables	variable	NOUN
brj-23713	135	10	as	as	ADP
brj-23713	135	11	an	an	DET
brj-23713	135	12	illustration	illustration	NOUN
brj-23713	135	13	,	,	PUNCT
brj-23713	135	14	carbon	carbon	NOUN
brj-23713	135	15	content	content	NOUN
brj-23713	135	16	was	be	AUX
brj-23713	135	17	positively	positively	ADV
brj-23713	135	18	correlated	correlate	VERB
brj-23713	135	19	with	with	ADP
brj-23713	135	20	the	the	DET
brj-23713	135	21	higher	high	ADJ
brj-23713	135	22	heating	heating	NOUN
brj-23713	135	23	value	value	NOUN
brj-23713	135	24	(	(	PUNCT
brj-23713	135	25	hhv	hhv	NOUN
brj-23713	135	26	)	)	PUNCT
brj-23713	135	27	,	,	PUNCT
brj-23713	135	28	with	with	ADP
brj-23713	135	29	a	a	DET
brj-23713	135	30	correlation	correlation	NOUN
brj-23713	135	31	coefficient	coefficient	NOUN
brj-23713	135	32	of	of	ADP
brj-23713	135	33	0.43	0.43	NUM
brj-23713	135	34	,	,	PUNCT
brj-23713	135	35	highlighting	highlight	VERB
brj-23713	135	36	a	a	DET
brj-23713	135	37	direct	direct	ADJ
brj-23713	135	38	link	link	NOUN
brj-23713	135	39	between	between	ADP
brj-23713	135	40	these	these	DET
brj-23713	135	41	properties	property	NOUN
brj-23713	135	42	.	.	PUNCT
brj-23713	136	1	collectively	collectively	ADV
brj-23713	136	2	,	,	PUNCT
brj-23713	136	3	these	these	DET
brj-23713	136	4	correlations	correlation	NOUN
brj-23713	136	5	provide	provide	VERB
brj-23713	136	6	insights	insight	NOUN
brj-23713	136	7	into	into	ADP
brj-23713	136	8	the	the	DET
brj-23713	136	9	intricate	intricate	ADJ
brj-23713	136	10	dependencies	dependency	NOUN
brj-23713	136	11	within	within	ADP
brj-23713	136	12	the	the	DET
brj-23713	136	13	biochar	biochar	NOUN
brj-23713	136	14	production	production	NOUN
brj-23713	136	15	process	process	NOUN
brj-23713	136	16	,	,	PUNCT
brj-23713	136	17	influenced	influence	VERB
brj-23713	136	18	by	by	ADP
brj-23713	136	19	both	both	DET
brj-23713	136	20	feedstock	feedstock	NOUN
brj-23713	136	21	characteristics	characteristic	NOUN
brj-23713	136	22	and	and	CCONJ
brj-23713	136	23	process	process	NOUN
brj-23713	136	24	parameters	parameter	NOUN
brj-23713	136	25	.	.	PUNCT
brj-23713	137	1	model	model	NOUN
brj-23713	137	2	development	development	NOUN
brj-23713	137	3	and	and	CCONJ
brj-23713	137	4	evaluation	evaluation	NOUN
brj-23713	137	5	rf	rf	NOUN
brj-23713	137	6	and	and	CCONJ
brj-23713	137	7	xgboost	xgboost	ADV
brj-23713	137	8	are	be	AUX
brj-23713	137	9	cutting	cut	VERB
brj-23713	137	10	-	-	PUNCT
brj-23713	137	11	edge	edge	NOUN
brj-23713	137	12	analytical	analytical	ADJ
brj-23713	137	13	tools	tool	NOUN
brj-23713	137	14	in	in	ADP
brj-23713	137	15	the	the	DET
brj-23713	137	16	realm	realm	NOUN
brj-23713	137	17	of	of	ADP
brj-23713	137	18	data	datum	NOUN
brj-23713	137	19	mining	mining	NOUN
brj-23713	137	20	,	,	PUNCT
brj-23713	137	21	frequently	frequently	ADV
brj-23713	137	22	employed	employ	VERB
brj-23713	137	23	for	for	ADP
brj-23713	137	24	unraveling	unravel	VERB
brj-23713	137	25	intricate	intricate	ADJ
brj-23713	137	26	non	non	ADJ
brj-23713	137	27	-	-	ADJ
brj-23713	137	28	linear	linear	ADJ
brj-23713	137	29	associations	association	NOUN
brj-23713	137	30	among	among	ADP
brj-23713	137	31	variables	variable	NOUN
brj-23713	137	32	(	(	PUNCT
brj-23713	137	33	souaissi	souaissi	VERB
brj-23713	137	34	et	et	PROPN
brj-23713	137	35	al	al	PROPN
brj-23713	137	36	.	.	PROPN
brj-23713	137	37	2023	2023	NUM
brj-23713	137	38	)	)	PUNCT
brj-23713	137	39	.	.	PUNCT
brj-23713	138	1	this	this	PRON
brj-23713	138	2	is	be	AUX
brj-23713	138	3	due	due	ADJ
brj-23713	138	4	to	to	ADP
brj-23713	138	5	the	the	DET
brj-23713	138	6	fact	fact	NOUN
brj-23713	138	7	that	that	SCONJ
brj-23713	138	8	they	they	PRON
brj-23713	138	9	are	be	AUX
brj-23713	138	10	powerful	powerful	ADJ
brj-23713	138	11	and	and	CCONJ
brj-23713	138	12	flexible	flexible	ADJ
brj-23713	138	13	enough	enough	ADV
brj-23713	138	14	to	to	PART
brj-23713	138	15	handle	handle	VERB
brj-23713	138	16	a	a	DET
brj-23713	138	17	wide	wide	ADJ
brj-23713	138	18	range	range	NOUN
brj-23713	138	19	of	of	ADP
brj-23713	138	20	data	datum	NOUN
brj-23713	138	21	types	type	NOUN
brj-23713	138	22	and	and	CCONJ
brj-23713	138	23	sizes	size	NOUN
brj-23713	138	24	while	while	SCONJ
brj-23713	138	25	providing	provide	VERB
brj-23713	138	26	good	good	ADJ
brj-23713	138	27	predictive	predictive	ADJ
brj-23713	138	28	performance	performance	NOUN
brj-23713	138	29	.	.	PUNCT
brj-23713	139	1	they	they	PRON
brj-23713	139	2	are	be	AUX
brj-23713	139	3	commonly	commonly	ADV
brj-23713	139	4	used	use	VERB
brj-23713	139	5	in	in	ADP
brj-23713	139	6	situations	situation	NOUN
brj-23713	139	7	where	where	SCONJ
brj-23713	139	8	the	the	DET
brj-23713	139	9	goal	goal	NOUN
brj-23713	139	10	is	be	AUX
brj-23713	139	11	to	to	PART
brj-23713	139	12	achieve	achieve	VERB
brj-23713	139	13	high	high	ADJ
brj-23713	139	14	accuracy	accuracy	NOUN
brj-23713	139	15	without	without	ADP
brj-23713	139	16	sacrificing	sacrifice	VERB
brj-23713	139	17	much	much	ADJ
brj-23713	139	18	interpretability	interpretability	NOUN
brj-23713	139	19	(	(	PUNCT
brj-23713	139	20	banik	banik	NOUN
brj-23713	139	21	and	and	CCONJ
brj-23713	139	22	biswas	biswas	PROPN
brj-23713	139	23	2024	2024	NUM
brj-23713	139	24	)	)	PUNCT
brj-23713	139	25	.	.	PUNCT
brj-23713	140	1	consequently	consequently	ADV
brj-23713	140	2	,	,	PUNCT
brj-23713	140	3	within	within	ADP
brj-23713	140	4	the	the	DET
brj-23713	140	5	scope	scope	NOUN
brj-23713	140	6	of	of	ADP
brj-23713	140	7	this	this	DET
brj-23713	140	8	investigation	investigation	NOUN
brj-23713	140	9	,	,	PUNCT
brj-23713	140	10	these	these	DET
brj-23713	140	11	sophisticated	sophisticated	ADJ
brj-23713	140	12	models	model	NOUN
brj-23713	140	13	were	be	AUX
brj-23713	140	14	harnessed	harness	VERB
brj-23713	140	15	to	to	PART
brj-23713	140	16	forecast	forecast	VERB
brj-23713	140	17	both	both	CCONJ
brj-23713	140	18	the	the	DET
brj-23713	140	19	carbon	carbon	NOUN
brj-23713	140	20	content	content	NOUN
brj-23713	140	21	and	and	CCONJ
brj-23713	140	22	the	the	DET
brj-23713	140	23	yield	yield	NOUN
brj-23713	140	24	of	of	ADP
brj-23713	140	25	biochar	biochar	NOUN
brj-23713	140	26	,	,	PUNCT
brj-23713	140	27	capitalizing	capitalize	VERB
brj-23713	140	28	on	on	ADP
brj-23713	140	29	their	their	PRON
brj-23713	140	30	prowess	prowess	NOUN
brj-23713	140	31	in	in	ADP
brj-23713	140	32	navigating	navigate	VERB
brj-23713	140	33	complex	complex	ADJ
brj-23713	140	34	interdependencies	interdependency	NOUN
brj-23713	140	35	.	.	PUNCT
brj-23713	141	1	model	model	NOUN
brj-23713	141	2	hyperparameters	hyperparameter	NOUN
brj-23713	141	3	are	be	AUX
brj-23713	141	4	key	key	ADJ
brj-23713	141	5	factors	factor	NOUN
brj-23713	141	6	that	that	PRON
brj-23713	141	7	affect	affect	VERB
brj-23713	141	8	the	the	DET
brj-23713	141	9	accuracy	accuracy	NOUN
brj-23713	141	10	and	and	CCONJ
brj-23713	141	11	generalisation	generalisation	NOUN
brj-23713	141	12	of	of	ADP
brj-23713	141	13	model	model	NOUN
brj-23713	141	14	predictions	prediction	NOUN
brj-23713	141	15	.	.	PUNCT
brj-23713	142	1	therefore	therefore	ADV
brj-23713	142	2	,	,	PUNCT
brj-23713	142	3	setting	set	VERB
brj-23713	142	4	reasonable	reasonable	ADJ
brj-23713	142	5	hyperparameters	hyperparameter	NOUN
brj-23713	142	6	for	for	ADP
brj-23713	142	7	the	the	DET
brj-23713	142	8	model	model	NOUN
brj-23713	142	9	is	be	AUX
brj-23713	142	10	an	an	DET
brj-23713	142	11	important	important	ADJ
brj-23713	142	12	step	step	NOUN
brj-23713	142	13	in	in	ADP
brj-23713	142	14	constructing	construct	VERB
brj-23713	142	15	the	the	DET
brj-23713	142	16	model	model	NOUN
brj-23713	142	17	(	(	PUNCT
brj-23713	142	18	bischl	bischl	PROPN
brj-23713	142	19	et	et	PROPN
brj-23713	142	20	al	al	PROPN
brj-23713	142	21	.	.	PROPN
brj-23713	142	22	2023	2023	NUM
brj-23713	142	23	)	)	PUNCT
brj-23713	142	24	.	.	PUNCT
brj-23713	143	1	to	to	PART
brj-23713	143	2	ensure	ensure	VERB
brj-23713	143	3	the	the	DET
brj-23713	143	4	development	development	NOUN
brj-23713	143	5	peer	peer	NOUN
brj-23713	143	6	-	-	PUNCT
brj-23713	143	7	reviewed	review	VERB
brj-23713	143	8	article	article	NOUN
brj-23713	143	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	143	10	xu	xu	PROPN
brj-23713	143	11	et	et	PROPN
brj-23713	143	12	al	al	PROPN
brj-23713	143	13	.	.	PROPN
brj-23713	144	1	(	(	PUNCT
brj-23713	144	2	2024	2024	NUM
brj-23713	144	3	)	)	PUNCT
brj-23713	144	4	.	.	PUNCT
brj-23713	145	1	“	"	PUNCT
brj-23713	145	2	machine	machine	NOUN
brj-23713	145	3	learning	learning	NOUN
brj-23713	145	4	for	for	ADP
brj-23713	145	5	biochar	biochar	NOUN
brj-23713	145	6	,	,	PUNCT
brj-23713	145	7	”	"	PUNCT
brj-23713	145	8	bioresources	bioresource	NOUN
brj-23713	145	9	19(3	19(3	NUM
brj-23713	145	10	)	)	PUNCT
brj-23713	145	11	,	,	PUNCT
brj-23713	145	12	6545	6545	NUM
brj-23713	145	13	-	-	SYM
brj-23713	145	14	6558	6558	NUM
brj-23713	145	15	.	.	PUNCT
brj-23713	146	1	6552	6552	NUM
brj-23713	146	2	of	of	ADP
brj-23713	146	3	high	high	ADV
brj-23713	146	4	-	-	PUNCT
brj-23713	146	5	performing	perform	VERB
brj-23713	146	6	machine	machine	NOUN
brj-23713	146	7	learning	learning	NOUN
brj-23713	146	8	models	model	NOUN
brj-23713	146	9	,	,	PUNCT
brj-23713	146	10	hyperparameter	hyperparameter	NOUN
brj-23713	146	11	optimization	optimization	NOUN
brj-23713	146	12	was	be	AUX
brj-23713	146	13	carried	carry	VERB
brj-23713	146	14	out	out	ADP
brj-23713	146	15	leveraging	leverage	VERB
brj-23713	146	16	the	the	DET
brj-23713	146	17	training	training	NOUN
brj-23713	146	18	dataset	dataset	NOUN
brj-23713	146	19	.	.	PUNCT
brj-23713	147	1	this	this	DET
brj-23713	147	2	process	process	NOUN
brj-23713	147	3	entailed	entail	VERB
brj-23713	147	4	employing	employ	VERB
brj-23713	147	5	a	a	DET
brj-23713	147	6	grid	grid	NOUN
brj-23713	147	7	search	search	NOUN
brj-23713	147	8	methodology	methodology	NOUN
brj-23713	147	9	in	in	ADP
brj-23713	147	10	conjunction	conjunction	NOUN
brj-23713	147	11	with	with	ADP
brj-23713	147	12	k	k	ADJ
brj-23713	147	13	-	-	ADJ
brj-23713	147	14	fold	fold	ADJ
brj-23713	147	15	cross	cross	NOUN
brj-23713	147	16	-	-	NOUN
brj-23713	147	17	validation	validation	ADJ
brj-23713	147	18	,	,	PUNCT
brj-23713	147	19	with	with	SCONJ
brj-23713	147	20	the	the	DET
brj-23713	147	21	primary	primary	ADJ
brj-23713	147	22	goal	goal	NOUN
brj-23713	147	23	of	of	ADP
brj-23713	147	24	minimizing	minimize	VERB
brj-23713	147	25	mean	mean	VERB
brj-23713	147	26	squared	square	VERB
brj-23713	147	27	error	error	NOUN
brj-23713	147	28	(	(	PUNCT
brj-23713	147	29	mse	mse	NOUN
brj-23713	147	30	)	)	PUNCT
brj-23713	147	31	values	value	NOUN
brj-23713	147	32	.	.	PUNCT
brj-23713	148	1	lower	low	ADJ
brj-23713	148	2	mse	mse	PROPN
brj-23713	148	3	scores	score	NOUN
brj-23713	148	4	were	be	AUX
brj-23713	148	5	indicative	indicative	ADJ
brj-23713	148	6	of	of	ADP
brj-23713	148	7	enhanced	enhanced	ADJ
brj-23713	148	8	predictive	predictive	ADJ
brj-23713	148	9	capabilities	capability	NOUN
brj-23713	148	10	for	for	ADP
brj-23713	148	11	the	the	DET
brj-23713	148	12	models	model	NOUN
brj-23713	148	13	,	,	PUNCT
brj-23713	148	14	thus	thus	ADV
brj-23713	148	15	guiding	guide	VERB
brj-23713	148	16	us	we	PRON
brj-23713	148	17	towards	towards	ADP
brj-23713	148	18	the	the	DET
brj-23713	148	19	most	most	ADV
brj-23713	148	20	advantageous	advantageous	ADJ
brj-23713	148	21	hyperparameter	hyperparameter	NOUN
brj-23713	148	22	configurations	configuration	NOUN
brj-23713	148	23	(	(	PUNCT
brj-23713	148	24	zhao	zhao	X
brj-23713	148	25	et	et	PROPN
brj-23713	148	26	al	al	PROPN
brj-23713	148	27	.	.	PROPN
brj-23713	148	28	2024	2024	NUM
brj-23713	148	29	)	)	PUNCT
brj-23713	148	30	.	.	PUNCT
brj-23713	149	1	moreover	moreover	ADV
brj-23713	149	2	,	,	PUNCT
brj-23713	149	3	employing	employ	VERB
brj-23713	149	4	the	the	DET
brj-23713	149	5	average	average	NOUN
brj-23713	149	6	of	of	ADP
brj-23713	149	7	multiple	multiple	ADJ
brj-23713	149	8	folds	fold	NOUN
brj-23713	149	9	in	in	ADP
brj-23713	149	10	nfold	nfold	PROPN
brj-23713	149	11	cross	cross	PROPN
brj-23713	149	12	-	-	ADJ
brj-23713	149	13	validation	validation	ADJ
brj-23713	149	14	mitigates	mitigate	VERB
brj-23713	149	15	the	the	DET
brj-23713	149	16	variability	variability	NOUN
brj-23713	149	17	in	in	ADP
brj-23713	149	18	model	model	NOUN
brj-23713	149	19	assessment	assessment	NOUN
brj-23713	149	20	that	that	PRON
brj-23713	149	21	can	can	AUX
brj-23713	149	22	arise	arise	VERB
brj-23713	149	23	from	from	ADP
brj-23713	149	24	arbitrary	arbitrary	ADJ
brj-23713	149	25	data	datum	NOUN
brj-23713	149	26	partitioning	partitioning	NOUN
brj-23713	149	27	,	,	PUNCT
brj-23713	149	28	thereby	thereby	ADV
brj-23713	149	29	diminishing	diminish	VERB
brj-23713	149	30	the	the	DET
brj-23713	149	31	likelihood	likelihood	NOUN
brj-23713	149	32	of	of	ADP
brj-23713	149	33	inflated	inflated	ADJ
brj-23713	149	34	performance	performance	NOUN
brj-23713	149	35	estimates	estimate	NOUN
brj-23713	149	36	due	due	ADJ
brj-23713	149	37	to	to	PART
brj-23713	149	38	chance	chance	NOUN
brj-23713	149	39	and	and	CCONJ
brj-23713	149	40	reducing	reduce	VERB
brj-23713	149	41	the	the	DET
brj-23713	149	42	risk	risk	NOUN
brj-23713	149	43	of	of	ADP
brj-23713	149	44	overfitting	overfitte	VERB
brj-23713	149	45	subsequent	subsequent	ADJ
brj-23713	149	46	to	to	ADP
brj-23713	149	47	hyperparameter	hyperparameter	NOUN
brj-23713	149	48	tuning	tuning	NOUN
brj-23713	149	49	.	.	PUNCT
brj-23713	150	1	for	for	ADP
brj-23713	150	2	the	the	DET
brj-23713	150	3	xgboost	xgboost	PROPN
brj-23713	150	4	model	model	PROPN
brj-23713	150	5	,	,	PUNCT
brj-23713	150	6	max	max	PROPN
brj-23713	150	7	depth	depth	NOUN
brj-23713	150	8	,	,	PUNCT
brj-23713	150	9	min	min	NOUN
brj-23713	150	10	child	child	NOUN
brj-23713	150	11	weight	weight	NOUN
brj-23713	150	12	,	,	PUNCT
brj-23713	150	13	and	and	CCONJ
brj-23713	150	14	subsample	subsample	ADJ
brj-23713	150	15	bytree	bytree	PROPN
brj-23713	150	16	are	be	AUX
brj-23713	150	17	the	the	DET
brj-23713	150	18	key	key	ADJ
brj-23713	150	19	hyperparameters	hyperparameter	NOUN
brj-23713	150	20	that	that	PRON
brj-23713	150	21	determine	determine	VERB
brj-23713	150	22	its	its	PRON
brj-23713	150	23	prediction	prediction	NOUN
brj-23713	150	24	accuracy	accuracy	NOUN
brj-23713	150	25	;	;	PUNCT
brj-23713	150	26	whereas	whereas	SCONJ
brj-23713	150	27	the	the	DET
brj-23713	150	28	performance	performance	NOUN
brj-23713	150	29	of	of	ADP
brj-23713	150	30	the	the	DET
brj-23713	150	31	random	random	ADJ
brj-23713	150	32	forest	forest	NOUN
brj-23713	150	33	model	model	NOUN
brj-23713	150	34	is	be	AUX
brj-23713	150	35	highly	highly	ADV
brj-23713	150	36	dependent	dependent	ADJ
brj-23713	150	37	on	on	ADP
brj-23713	150	38	the	the	DET
brj-23713	150	39	hyperparameter	hyperparameter	NOUN
brj-23713	150	40	settings	setting	NOUN
brj-23713	150	41	of	of	ADP
brj-23713	150	42	n_estimators	n_estimator	NOUN
brj-23713	150	43	,	,	PUNCT
brj-23713	150	44	max	max	PROPN
brj-23713	150	45	depth	depth	NOUN
brj-23713	150	46	,	,	PUNCT
brj-23713	150	47	min	min	NOUN
brj-23713	150	48	samples	sample	NOUN
brj-23713	150	49	leaf	leaf	NOUN
brj-23713	150	50	,	,	PUNCT
brj-23713	150	51	and	and	CCONJ
brj-23713	150	52	min	min	NOUN
brj-23713	150	53	samples	sample	NOUN
brj-23713	150	54	split	split	VERB
brj-23713	150	55	.	.	PUNCT
brj-23713	151	1	therefore	therefore	ADV
brj-23713	151	2	,	,	PUNCT
brj-23713	151	3	in	in	ADP
brj-23713	151	4	this	this	DET
brj-23713	151	5	section	section	NOUN
brj-23713	151	6	,	,	PUNCT
brj-23713	151	7	a	a	DET
brj-23713	151	8	grid	grid	NOUN
brj-23713	151	9	search	search	NOUN
brj-23713	151	10	tuning	tuning	NOUN
brj-23713	151	11	approach	approach	NOUN
brj-23713	151	12	was	be	AUX
brj-23713	151	13	used	use	VERB
brj-23713	151	14	to	to	PART
brj-23713	151	15	search	search	VERB
brj-23713	151	16	the	the	DET
brj-23713	151	17	entire	entire	ADJ
brj-23713	151	18	hyperparameter	hyperparameter	NOUN
brj-23713	151	19	space	space	NOUN
brj-23713	151	20	within	within	ADP
brj-23713	151	21	the	the	DET
brj-23713	151	22	model	model	NOUN
brj-23713	151	23	hyperparameter	hyperparameter	NOUN
brj-23713	151	24	space	space	NOUN
brj-23713	151	25	given	give	VERB
brj-23713	151	26	above	above	ADV
brj-23713	151	27	and	and	CCONJ
brj-23713	151	28	determine	determine	VERB
brj-23713	151	29	the	the	DET
brj-23713	151	30	model	model	NOUN
brj-23713	151	31	hyperparameter	hyperparameter	NOUN
brj-23713	151	32	combination	combination	NOUN
brj-23713	151	33	that	that	PRON
brj-23713	151	34	possesses	possess	VERB
brj-23713	151	35	the	the	DET
brj-23713	151	36	best	good	ADJ
brj-23713	151	37	predictive	predictive	ADJ
brj-23713	151	38	performance	performance	NOUN
brj-23713	151	39	through	through	ADP
brj-23713	151	40	the	the	DET
brj-23713	151	41	mse	mse	NOUN
brj-23713	151	42	results	result	NOUN
brj-23713	151	43	of	of	ADP
brj-23713	151	44	the	the	DET
brj-23713	151	45	5	5	NUM
brj-23713	151	46	-	-	ADJ
brj-23713	151	47	fold	fold	ADJ
brj-23713	151	48	cross	cross	NOUN
brj-23713	151	49	-	-	NOUN
brj-23713	151	50	validation	validation	NOUN
brj-23713	151	51	in	in	ADP
brj-23713	151	52	order	order	NOUN
brj-23713	151	53	to	to	PART
brj-23713	151	54	improve	improve	VERB
brj-23713	151	55	the	the	DET
brj-23713	151	56	accuracy	accuracy	NOUN
brj-23713	151	57	and	and	CCONJ
brj-23713	151	58	generalisation	generalisation	NOUN
brj-23713	151	59	of	of	ADP
brj-23713	151	60	the	the	DET
brj-23713	151	61	xgboost	xgboost	PROPN
brj-23713	151	62	model	model	NOUN
brj-23713	151	63	for	for	ADP
brj-23713	151	64	predicting	predict	VERB
brj-23713	151	65	the	the	DET
brj-23713	151	66	biochar	biochar	NOUN
brj-23713	151	67	yield	yield	NOUN
brj-23713	151	68	and	and	CCONJ
brj-23713	151	69	c	c	NOUN
brj-23713	151	70	content	content	NOUN
brj-23713	151	71	.	.	PUNCT
brj-23713	152	1	the	the	DET
brj-23713	152	2	results	result	NOUN
brj-23713	152	3	of	of	ADP
brj-23713	152	4	well	well	ADV
brj-23713	152	5	-	-	PUNCT
brj-23713	152	6	tuned	tune	VERB
brj-23713	152	7	hyperparameters	hyperparameter	NOUN
brj-23713	152	8	are	be	AUX
brj-23713	152	9	listed	list	VERB
brj-23713	152	10	in	in	ADP
brj-23713	152	11	table	table	NOUN
brj-23713	152	12	1	1	NUM
brj-23713	152	13	.	.	PUNCT
brj-23713	152	14	fig	fig	NOUN
brj-23713	152	15	.	.	PUNCT
brj-23713	153	1	3	3	X
brj-23713	153	2	.	.	X
brj-23713	153	3	comparison	comparison	NOUN
brj-23713	153	4	of	of	ADP
brj-23713	153	5	predicted	predict	VERB
brj-23713	153	6	biochar	biochar	NOUN
brj-23713	153	7	yield	yield	NOUN
brj-23713	153	8	/	/	SYM
brj-23713	153	9	c	c	NOUN
brj-23713	153	10	content	content	NOUN
brj-23713	153	11	and	and	CCONJ
brj-23713	153	12	actual	actual	ADJ
brj-23713	153	13	values	value	NOUN
brj-23713	153	14	using	use	VERB
brj-23713	153	15	collected	collect	VERB
brj-23713	153	16	data	datum	NOUN
brj-23713	153	17	:	:	PUNCT
brj-23713	153	18	(	(	PUNCT
brj-23713	153	19	ab	ab	NOUN
brj-23713	153	20	)	)	PUNCT
brj-23713	153	21	xgboost	xgboost	X
brj-23713	154	1	modeling	modeling	PROPN
brj-23713	154	2	,	,	PUNCT
brj-23713	154	3	(	(	PUNCT
brj-23713	154	4	c	c	X
brj-23713	154	5	-	-	PUNCT
brj-23713	154	6	d	d	NOUN
brj-23713	154	7	)	)	PUNCT
brj-23713	154	8	rf	rf	AUX
brj-23713	154	9	modeling	model	VERB
brj-23713	154	10	peer	peer	NOUN
brj-23713	154	11	-	-	PUNCT
brj-23713	154	12	reviewed	review	VERB
brj-23713	154	13	article	article	NOUN
brj-23713	154	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	154	15	xu	xu	PROPN
brj-23713	154	16	et	et	PROPN
brj-23713	154	17	al	al	PROPN
brj-23713	154	18	.	.	PROPN
brj-23713	154	19	(	(	PUNCT
brj-23713	154	20	2024	2024	NUM
brj-23713	154	21	)	)	PUNCT
brj-23713	154	22	.	.	PUNCT
brj-23713	155	1	“	"	PUNCT
brj-23713	155	2	machine	machine	NOUN
brj-23713	155	3	learning	learning	NOUN
brj-23713	155	4	for	for	ADP
brj-23713	155	5	biochar	biochar	NOUN
brj-23713	155	6	,	,	PUNCT
brj-23713	155	7	”	"	PUNCT
brj-23713	155	8	bioresources	bioresource	NOUN
brj-23713	155	9	19(3	19(3	NUM
brj-23713	155	10	)	)	PUNCT
brj-23713	155	11	,	,	PUNCT
brj-23713	155	12	6545	6545	NUM
brj-23713	155	13	-	-	SYM
brj-23713	155	14	6558	6558	NUM
brj-23713	155	15	.	.	PUNCT
brj-23713	156	1	6553	6553	NUM
brj-23713	156	2	table	table	NOUN
brj-23713	156	3	1	1	NUM
brj-23713	156	4	.	.	PUNCT
brj-23713	156	5	well	well	ADV
brj-23713	156	6	-	-	PUNCT
brj-23713	156	7	tuned	tune	VERB
brj-23713	156	8	hyper	hyper	NOUN
brj-23713	156	9	-	-	NOUN
brj-23713	156	10	parameters	parameter	NOUN
brj-23713	156	11	of	of	ADP
brj-23713	156	12	ml	ml	NOUN
brj-23713	156	13	models	model	NOUN
brj-23713	156	14	for	for	ADP
brj-23713	156	15	predicting	predict	VERB
brj-23713	156	16	c	c	NOUN
brj-23713	156	17	-	-	PUNCT
brj-23713	156	18	content	content	NOUN
brj-23713	156	19	and	and	CCONJ
brj-23713	156	20	biochar	biochar	NOUN
brj-23713	156	21	yield	yield	NOUN
brj-23713	156	22	model	model	NOUN
brj-23713	156	23	hyperparameters	hyperparameter	NOUN
brj-23713	156	24	range	range	NOUN
brj-23713	156	25	optimized	optimize	VERB
brj-23713	156	26	value	value	NOUN
brj-23713	156	27	rf	rf	NOUN
brj-23713	156	28	n_estimators	n_estimator	NOUN
brj-23713	156	29	10	10	NUM
brj-23713	156	30	to	to	PART
brj-23713	156	31	80	80	NUM
brj-23713	156	32	50	50	NUM
brj-23713	156	33	max	max	NOUN
brj-23713	156	34	depth	depth	NOUN
brj-23713	156	35	1	1	NUM
brj-23713	156	36	to	to	PART
brj-23713	156	37	9	9	NUM
brj-23713	156	38	9	9	NUM
brj-23713	156	39	min	min	NOUN
brj-23713	156	40	samples	sample	NOUN
brj-23713	156	41	leaf	leaf	NOUN
brj-23713	156	42	1	1	NUM
brj-23713	156	43	to	to	ADP
brj-23713	156	44	9	9	NUM
brj-23713	156	45	1	1	NUM
brj-23713	156	46	min	min	NOUN
brj-23713	156	47	samples	sample	NOUN
brj-23713	156	48	split	split	VERB
brj-23713	156	49	2	2	NUM
brj-23713	156	50	to	to	ADP
brj-23713	156	51	9	9	NUM
brj-23713	156	52	3	3	NUM
brj-23713	156	53	xgboost	xgboost	NOUN
brj-23713	156	54	max	max	PROPN
brj-23713	156	55	depth	depth	NOUN
brj-23713	156	56	1	1	NUM
brj-23713	156	57	to	to	PART
brj-23713	156	58	10	10	NUM
brj-23713	156	59	5	5	NUM
brj-23713	156	60	min	min	NOUN
brj-23713	156	61	child	child	NOUN
brj-23713	156	62	weight	weight	NOUN
brj-23713	156	63	1	1	NUM
brj-23713	156	64	to	to	PART
brj-23713	156	65	8	8	NUM
brj-23713	156	66	1	1	NUM
brj-23713	156	67	sub	sub	NOUN
brj-23713	156	68	sample	sample	NOUN
brj-23713	156	69	0.1	0.1	NUM
brj-23713	156	70	to	to	PART
brj-23713	156	71	0.9	0.9	NUM
brj-23713	156	72	0.7	0.7	NUM
brj-23713	156	73	col	col	NOUN
brj-23713	156	74	sample	sample	NOUN
brj-23713	156	75	by	by	ADP
brj-23713	156	76	tree	tree	NOUN
brj-23713	156	77	0.1	0.1	NUM
brj-23713	156	78	to	to	PART
brj-23713	156	79	0.9	0.9	NUM
brj-23713	156	80	0.8	0.8	NUM
brj-23713	156	81	learning	learning	NOUN
brj-23713	156	82	rate	rate	NOUN
brj-23713	156	83	0.1	0.1	NUM
brj-23713	156	84	to	to	PART
brj-23713	156	85	0.9	0.9	NUM
brj-23713	156	86	0.25	0.25	NUM
brj-23713	156	87	gamma	gamma	NOUN
brj-23713	156	88	0	0	NUM
brj-23713	156	89	to	to	ADP
brj-23713	156	90	0.5	0.5	NUM
brj-23713	156	91	0	0	NUM
brj-23713	156	92	reg_alpha	reg_alpha	NOUN
brj-23713	156	93	0	0	NUM
brj-23713	156	94	to	to	ADP
brj-23713	156	95	0.5	0.5	NUM
brj-23713	156	96	0.001	0.001	NUM
brj-23713	156	97	reg_lambda	reg_lambda	NOUN
brj-23713	156	98	0	0	NUM
brj-23713	156	99	to	to	ADP
brj-23713	156	100	0.1	0.1	NUM
brj-23713	156	101	0.1	0.1	NUM
brj-23713	156	102	in	in	ADP
brj-23713	156	103	pursuit	pursuit	NOUN
brj-23713	156	104	of	of	ADP
brj-23713	156	105	refining	refine	VERB
brj-23713	156	106	the	the	DET
brj-23713	156	107	models	model	NOUN
brj-23713	156	108	to	to	ADP
brj-23713	156	109	their	their	PRON
brj-23713	156	110	optimal	optimal	ADJ
brj-23713	156	111	state	state	NOUN
brj-23713	156	112	,	,	PUNCT
brj-23713	156	113	a	a	DET
brj-23713	156	114	variety	variety	NOUN
brj-23713	156	115	of	of	ADP
brj-23713	156	116	machine	machine	NOUN
brj-23713	156	117	learning	learning	NOUN
brj-23713	156	118	models	model	NOUN
brj-23713	156	119	were	be	AUX
brj-23713	156	120	recalibrated	recalibrate	VERB
brj-23713	156	121	utilizing	utilize	VERB
brj-23713	156	122	the	the	DET
brj-23713	156	123	training	training	NOUN
brj-23713	156	124	dataset	dataset	NOUN
brj-23713	156	125	,	,	PUNCT
brj-23713	156	126	now	now	ADV
brj-23713	156	127	equipped	equip	VERB
brj-23713	156	128	with	with	ADP
brj-23713	156	129	meticulously	meticulously	ADV
brj-23713	156	130	adjusted	adjust	VERB
brj-23713	156	131	hyperparameters	hyperparameter	NOUN
brj-23713	156	132	.	.	PUNCT
brj-23713	157	1	subsequently	subsequently	ADV
brj-23713	157	2	,	,	PUNCT
brj-23713	157	3	their	their	PRON
brj-23713	157	4	efficacy	efficacy	NOUN
brj-23713	157	5	was	be	AUX
brj-23713	157	6	gauged	gauge	VERB
brj-23713	157	7	against	against	ADP
brj-23713	157	8	the	the	DET
brj-23713	157	9	test	test	NOUN
brj-23713	157	10	dataset	dataset	NOUN
brj-23713	157	11	.	.	PUNCT
brj-23713	158	1	the	the	DET
brj-23713	158	2	outcomes	outcome	NOUN
brj-23713	158	3	illuminated	illuminate	VERB
brj-23713	158	4	the	the	DET
brj-23713	158	5	proficiency	proficiency	NOUN
brj-23713	158	6	of	of	ADP
brj-23713	158	7	both	both	DET
brj-23713	158	8	xgboost	xgboost	ADV
brj-23713	158	9	and	and	CCONJ
brj-23713	158	10	rf	rf	NOUN
brj-23713	158	11	in	in	ADP
brj-23713	158	12	anticipating	anticipate	VERB
brj-23713	158	13	biochar	biochar	NOUN
brj-23713	158	14	yield	yield	NOUN
brj-23713	158	15	and	and	CCONJ
brj-23713	158	16	carbon	carbon	NOUN
brj-23713	158	17	content	content	NOUN
brj-23713	158	18	,	,	PUNCT
brj-23713	158	19	as	as	SCONJ
brj-23713	158	20	attested	attest	VERB
brj-23713	158	21	by	by	ADP
brj-23713	158	22	their	their	PRON
brj-23713	158	23	high	high	ADJ
brj-23713	158	24	mean	mean	NOUN
brj-23713	158	25	training	training	NOUN
brj-23713	158	26	r²	r²	NOUN
brj-23713	158	27	scores	score	NOUN
brj-23713	158	28	(	(	PUNCT
brj-23713	158	29	0.98	0.98	NUM
brj-23713	158	30	and	and	CCONJ
brj-23713	158	31	0.99	0.99	NUM
brj-23713	158	32	,	,	PUNCT
brj-23713	158	33	respectively	respectively	ADV
brj-23713	158	34	)	)	PUNCT
brj-23713	158	35	and	and	CCONJ
brj-23713	158	36	similarly	similarly	ADV
brj-23713	158	37	robust	robust	ADJ
brj-23713	158	38	mean	mean	NOUN
brj-23713	158	39	testing	testing	NOUN
brj-23713	158	40	r²	r²	NOUN
brj-23713	158	41	scores	score	NOUN
brj-23713	158	42	(	(	PUNCT
brj-23713	158	43	0.91	0.91	NUM
brj-23713	158	44	for	for	ADP
brj-23713	158	45	xgboost	xgboost	ADV
brj-23713	158	46	and	and	CCONJ
brj-23713	158	47	0.94	0.94	NUM
brj-23713	158	48	for	for	ADP
brj-23713	158	49	rf	rf	NOUN
brj-23713	158	50	)	)	PUNCT
brj-23713	158	51	.	.	PUNCT
brj-23713	159	1	given	give	VERB
brj-23713	159	2	that	that	DET
brj-23713	159	3	xgboost	xgboost	PRON
brj-23713	159	4	marginally	marginally	ADV
brj-23713	159	5	outperformed	outperform	VERB
brj-23713	159	6	rf	rf	AUX
brj-23713	159	7	in	in	ADP
brj-23713	159	8	terms	term	NOUN
brj-23713	159	9	of	of	ADP
brj-23713	159	10	simulation	simulation	NOUN
brj-23713	159	11	accuracy	accuracy	NOUN
brj-23713	159	12	,	,	PUNCT
brj-23713	159	13	it	it	PRON
brj-23713	159	14	was	be	AUX
brj-23713	159	15	elected	elect	VERB
brj-23713	159	16	as	as	ADP
brj-23713	159	17	the	the	DET
brj-23713	159	18	prime	prime	ADJ
brj-23713	159	19	candidate	candidate	NOUN
brj-23713	159	20	for	for	ADP
brj-23713	159	21	the	the	DET
brj-23713	159	22	succeeding	succeed	VERB
brj-23713	159	23	feature	feature	NOUN
brj-23713	159	24	importance	importance	NOUN
brj-23713	159	25	examination	examination	NOUN
brj-23713	159	26	.	.	PUNCT
brj-23713	160	1	within	within	ADP
brj-23713	160	2	the	the	DET
brj-23713	160	3	confines	confine	NOUN
brj-23713	160	4	of	of	ADP
brj-23713	160	5	this	this	DET
brj-23713	160	6	research	research	NOUN
brj-23713	160	7	,	,	PUNCT
brj-23713	160	8	xgboost	xgboost	PRON
brj-23713	160	9	excelled	excel	VERB
brj-23713	160	10	in	in	ADP
brj-23713	160	11	forecasting	forecast	VERB
brj-23713	160	12	both	both	PRON
brj-23713	160	13	biochar	biochar	NOUN
brj-23713	160	14	yield	yield	NOUN
brj-23713	160	15	and	and	CCONJ
brj-23713	160	16	carbon	carbon	NOUN
brj-23713	160	17	content	content	NOUN
brj-23713	160	18	,	,	PUNCT
brj-23713	160	19	exhibiting	exhibit	VERB
brj-23713	160	20	the	the	DET
brj-23713	160	21	utmost	utmost	ADJ
brj-23713	160	22	values	value	NOUN
brj-23713	160	23	for	for	ADP
brj-23713	160	24	both	both	PRON
brj-23713	160	25	training	training	NOUN
brj-23713	160	26	and	and	CCONJ
brj-23713	160	27	testing	testing	NOUN
brj-23713	160	28	r²	r²	NOUN
brj-23713	160	29	,	,	PUNCT
brj-23713	160	30	alongside	alongside	ADP
brj-23713	160	31	the	the	DET
brj-23713	160	32	minimal	minimal	ADJ
brj-23713	160	33	values	value	NOUN
brj-23713	160	34	for	for	ADP
brj-23713	160	35	training	training	NOUN
brj-23713	160	36	and	and	CCONJ
brj-23713	160	37	testing	testing	NOUN
brj-23713	160	38	rmse	rmse	NOUN
brj-23713	160	39	at	at	ADP
brj-23713	160	40	1.06	1.06	NUM
brj-23713	160	41	and	and	CCONJ
brj-23713	160	42	4.79	4.79	NUM
brj-23713	160	43	,	,	PUNCT
brj-23713	160	44	respectively	respectively	ADV
brj-23713	160	45	(	(	PUNCT
brj-23713	160	46	depicted	depict	VERB
brj-23713	160	47	in	in	ADP
brj-23713	160	48	figs	fig	NOUN
brj-23713	160	49	.	.	PUNCT
brj-23713	161	1	3(a	3(a	NUM
brj-23713	161	2	)	)	PUNCT
brj-23713	161	3	and	and	CCONJ
brj-23713	161	4	(	(	PUNCT
brj-23713	161	5	b	b	NOUN
brj-23713	161	6	)	)	PUNCT
brj-23713	161	7	)	)	PUNCT
brj-23713	161	8	.	.	PUNCT
brj-23713	162	1	this	this	PRON
brj-23713	162	2	distinguished	distinguish	VERB
brj-23713	162	3	xgboost	xgboost	ADV
brj-23713	162	4	as	as	ADP
brj-23713	162	5	a	a	DET
brj-23713	162	6	highly	highly	ADV
brj-23713	162	7	resilient	resilient	ADJ
brj-23713	162	8	machine	machine	NOUN
brj-23713	162	9	learning	learning	NOUN
brj-23713	162	10	model	model	NOUN
brj-23713	162	11	for	for	ADP
brj-23713	162	12	biochar	biochar	NOUN
brj-23713	162	13	yield	yield	NOUN
brj-23713	162	14	predictions	prediction	NOUN
brj-23713	162	15	,	,	PUNCT
brj-23713	162	16	boasting	boast	VERB
brj-23713	162	17	exceptional	exceptional	ADJ
brj-23713	162	18	capability	capability	NOUN
brj-23713	162	19	to	to	PART
brj-23713	162	20	generalize	generalize	VERB
brj-23713	162	21	beyond	beyond	ADP
brj-23713	162	22	the	the	DET
brj-23713	162	23	training	training	NOUN
brj-23713	162	24	data	datum	NOUN
brj-23713	162	25	.	.	PUNCT
brj-23713	163	1	given	give	VERB
brj-23713	163	2	its	its	PRON
brj-23713	163	3	standout	standout	NOUN
brj-23713	163	4	performance	performance	NOUN
brj-23713	163	5	,	,	PUNCT
brj-23713	163	6	there	there	PRON
brj-23713	163	7	’s	’	VERB
brj-23713	163	8	a	a	DET
brj-23713	163	9	compelling	compelling	ADJ
brj-23713	163	10	case	case	NOUN
brj-23713	163	11	for	for	ADP
brj-23713	163	12	a	a	DET
brj-23713	163	13	deeper	deep	ADJ
brj-23713	163	14	exploration	exploration	NOUN
brj-23713	163	15	into	into	ADP
brj-23713	163	16	the	the	DET
brj-23713	163	17	underlying	underlie	VERB
brj-23713	163	18	dynamics	dynamic	NOUN
brj-23713	163	19	.	.	PUNCT
brj-23713	164	1	consequently	consequently	ADV
brj-23713	164	2	,	,	PUNCT
brj-23713	164	3	the	the	DET
brj-23713	164	4	shap	shap	PROPN
brj-23713	164	5	method	method	NOUN
brj-23713	164	6	was	be	AUX
brj-23713	164	7	employed	employ	VERB
brj-23713	164	8	to	to	PART
brj-23713	164	9	elucidate	elucidate	VERB
brj-23713	164	10	the	the	DET
brj-23713	164	11	model	model	NOUN
brj-23713	164	12	's	's	PART
brj-23713	164	13	workings	working	NOUN
brj-23713	164	14	,	,	PUNCT
brj-23713	164	15	thereby	thereby	ADV
brj-23713	164	16	capitalizing	capitalize	VERB
brj-23713	164	17	on	on	ADP
brj-23713	164	18	xgboost	xgboost	PROPN
brj-23713	164	19	’s	’s	PART
brj-23713	164	20	robust	robust	ADJ
brj-23713	164	21	predictive	predictive	ADJ
brj-23713	164	22	power	power	NOUN
brj-23713	164	23	.	.	PUNCT
brj-23713	165	1	interpretability	interpretability	NOUN
brj-23713	165	2	results	result	VERB
brj-23713	165	3	to	to	PART
brj-23713	165	4	delve	delve	VERB
brj-23713	165	5	deeper	deeply	ADV
brj-23713	165	6	into	into	ADP
brj-23713	165	7	the	the	DET
brj-23713	165	8	interpretability	interpretability	NOUN
brj-23713	165	9	of	of	ADP
brj-23713	165	10	machine	machine	NOUN
brj-23713	165	11	learning	learning	NOUN
brj-23713	165	12	models	model	NOUN
brj-23713	165	13	,	,	PUNCT
brj-23713	165	14	particularly	particularly	ADV
brj-23713	165	15	the	the	DET
brj-23713	165	16	best	well	ADV
brj-23713	165	17	-	-	PUNCT
brj-23713	165	18	performing	perform	VERB
brj-23713	165	19	xgboost	xgboost	ADJ
brj-23713	165	20	model	model	NOUN
brj-23713	165	21	in	in	ADP
brj-23713	165	22	the	the	DET
brj-23713	165	23	study	study	NOUN
brj-23713	165	24	,	,	PUNCT
brj-23713	165	25	a	a	DET
brj-23713	165	26	comprehensive	comprehensive	ADJ
brj-23713	165	27	feature	feature	NOUN
brj-23713	165	28	importance	importance	NOUN
brj-23713	165	29	and	and	CCONJ
brj-23713	165	30	shapley	shapley	ADJ
brj-23713	165	31	additive	additive	ADJ
brj-23713	165	32	explanations	explanation	NOUN
brj-23713	165	33	(	(	PUNCT
brj-23713	165	34	shapley	shapley	ADJ
brj-23713	165	35	additive	additive	ADJ
brj-23713	165	36	explanations	explanation	NOUN
brj-23713	165	37	)	)	PUNCT
brj-23713	165	38	analysis	analysis	NOUN
brj-23713	165	39	was	be	AUX
brj-23713	165	40	carried	carry	VERB
brj-23713	165	41	out	out	ADP
brj-23713	165	42	.	.	PUNCT
brj-23713	166	1	these	these	DET
brj-23713	166	2	assessments	assessment	NOUN
brj-23713	166	3	cover	cover	VERB
brj-23713	166	4	the	the	DET
brj-23713	166	5	full	full	ADJ
brj-23713	166	6	range	range	NOUN
brj-23713	166	7	of	of	ADP
brj-23713	166	8	input	input	NOUN
brj-23713	166	9	attributes	attribute	NOUN
brj-23713	166	10	,	,	PUNCT
brj-23713	166	11	including	include	VERB
brj-23713	166	12	the	the	DET
brj-23713	166	13	elemental	elemental	ADJ
brj-23713	166	14	and	and	CCONJ
brj-23713	166	15	approximate	approximate	ADJ
brj-23713	166	16	composition	composition	NOUN
brj-23713	166	17	of	of	ADP
brj-23713	166	18	the	the	DET
brj-23713	166	19	biomass	biomass	NOUN
brj-23713	166	20	feedstock	feedstock	NOUN
brj-23713	166	21	,	,	PUNCT
brj-23713	166	22	as	as	ADV
brj-23713	166	23	well	well	ADV
brj-23713	166	24	as	as	ADP
brj-23713	166	25	the	the	DET
brj-23713	166	26	operational	operational	ADJ
brj-23713	166	27	parameters	parameter	NOUN
brj-23713	166	28	of	of	ADP
brj-23713	166	29	the	the	DET
brj-23713	166	30	pyrolysis	pyrolysis	NOUN
brj-23713	166	31	process	process	NOUN
brj-23713	166	32	.	.	PUNCT
brj-23713	167	1	in	in	ADP
brj-23713	167	2	this	this	DET
brj-23713	167	3	case	case	NOUN
brj-23713	167	4	,	,	PUNCT
brj-23713	167	5	feature	feature	NOUN
brj-23713	167	6	importance	importance	NOUN
brj-23713	167	7	becomes	become	VERB
brj-23713	167	8	a	a	DET
brj-23713	167	9	key	key	ADJ
brj-23713	167	10	diagnostic	diagnostic	ADJ
brj-23713	167	11	tool	tool	NOUN
brj-23713	167	12	,	,	PUNCT
brj-23713	167	13	making	make	VERB
brj-23713	167	14	it	it	PRON
brj-23713	167	15	possible	possible	ADJ
brj-23713	167	16	to	to	PART
brj-23713	167	17	measure	measure	VERB
brj-23713	167	18	the	the	DET
brj-23713	167	19	role	role	NOUN
brj-23713	167	20	that	that	PRON
brj-23713	167	21	each	each	DET
brj-23713	167	22	predictor	predictor	NOUN
brj-23713	167	23	plays	play	VERB
brj-23713	167	24	in	in	ADP
brj-23713	167	25	forming	form	VERB
brj-23713	167	26	the	the	DET
brj-23713	167	27	model	model	NOUN
brj-23713	167	28	’s	’s	PART
brj-23713	167	29	predictions	prediction	NOUN
brj-23713	167	30	of	of	ADP
brj-23713	167	31	the	the	DET
brj-23713	167	32	target	target	NOUN
brj-23713	167	33	variables	variable	NOUN
brj-23713	167	34	(	(	PUNCT
brj-23713	167	35	in	in	ADP
brj-23713	167	36	this	this	DET
brj-23713	167	37	case	case	NOUN
brj-23713	167	38	,	,	PUNCT
brj-23713	167	39	biochar	biochar	NOUN
brj-23713	167	40	yield	yield	NOUN
brj-23713	167	41	and	and	CCONJ
brj-23713	167	42	carbon	carbon	NOUN
brj-23713	167	43	content	content	NOUN
brj-23713	167	44	)	)	PUNCT
brj-23713	167	45	.	.	PUNCT
brj-23713	168	1	by	by	ADP
brj-23713	168	2	elucidating	elucidate	VERB
brj-23713	168	3	the	the	DET
brj-23713	168	4	correlation	correlation	NOUN
brj-23713	168	5	between	between	ADP
brj-23713	168	6	each	each	DET
brj-23713	168	7	feature	feature	NOUN
brj-23713	168	8	and	and	CCONJ
brj-23713	168	9	the	the	DET
brj-23713	168	10	outcome	outcome	NOUN
brj-23713	168	11	,	,	PUNCT
brj-23713	168	12	one	one	PRON
brj-23713	168	13	can	can	AUX
brj-23713	168	14	gain	gain	VERB
brj-23713	168	15	a	a	DET
brj-23713	168	16	clearer	clear	ADJ
brj-23713	168	17	understanding	understanding	NOUN
brj-23713	168	18	of	of	ADP
brj-23713	168	19	the	the	DET
brj-23713	168	20	underlying	underlying	ADJ
brj-23713	168	21	mechanisms	mechanism	NOUN
brj-23713	168	22	that	that	PRON
brj-23713	168	23	drive	drive	VERB
brj-23713	168	24	the	the	DET
brj-23713	168	25	model	model	NOUN
brj-23713	168	26	’s	’s	PART
brj-23713	168	27	predictive	predictive	ADJ
brj-23713	168	28	accuracy	accuracy	NOUN
brj-23713	168	29	(	(	PUNCT
brj-23713	168	30	saarela	saarela	NOUN
brj-23713	168	31	and	and	CCONJ
brj-23713	168	32	jauhiainen	jauhiainen	PROPN
brj-23713	168	33	2021	2021	NUM
brj-23713	168	34	)	)	PUNCT
brj-23713	168	35	.	.	PUNCT
brj-23713	169	1	as	as	SCONJ
brj-23713	169	2	presented	present	VERB
brj-23713	169	3	in	in	ADP
brj-23713	169	4	fig	fig	NOUN
brj-23713	169	5	.	.	PUNCT
brj-23713	170	1	4(a	4(a	NUM
brj-23713	170	2	)	)	PUNCT
brj-23713	171	1	,	,	PUNCT
brj-23713	171	2	given	give	VERB
brj-23713	171	3	its	its	PRON
brj-23713	171	4	critical	critical	ADJ
brj-23713	171	5	role	role	NOUN
brj-23713	171	6	in	in	ADP
brj-23713	171	7	regulating	regulate	VERB
brj-23713	171	8	the	the	DET
brj-23713	171	9	carbonization	carbonization	NOUN
brj-23713	171	10	and	and	CCONJ
brj-23713	171	11	volatilization	volatilization	NOUN
brj-23713	171	12	processes	process	NOUN
brj-23713	171	13	that	that	PRON
brj-23713	171	14	occur	occur	VERB
brj-23713	171	15	in	in	ADP
brj-23713	171	16	biochar	biochar	NOUN
brj-23713	171	17	formation	formation	NOUN
brj-23713	171	18	,	,	PUNCT
brj-23713	171	19	temperature	temperature	NOUN
brj-23713	171	20	peer	peer	NOUN
brj-23713	171	21	-	-	PUNCT
brj-23713	171	22	reviewed	review	VERB
brj-23713	171	23	article	article	NOUN
brj-23713	171	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	171	25	xu	xu	PROPN
brj-23713	171	26	et	et	PROPN
brj-23713	171	27	al	al	PROPN
brj-23713	171	28	.	.	PROPN
brj-23713	172	1	(	(	PUNCT
brj-23713	172	2	2024	2024	NUM
brj-23713	172	3	)	)	PUNCT
brj-23713	172	4	.	.	PUNCT
brj-23713	173	1	“	"	PUNCT
brj-23713	173	2	machine	machine	NOUN
brj-23713	173	3	learning	learning	NOUN
brj-23713	173	4	for	for	ADP
brj-23713	173	5	biochar	biochar	NOUN
brj-23713	173	6	,	,	PUNCT
brj-23713	173	7	”	"	PUNCT
brj-23713	173	8	bioresources	bioresource	NOUN
brj-23713	173	9	19(3	19(3	NUM
brj-23713	173	10	)	)	PUNCT
brj-23713	173	11	,	,	PUNCT
brj-23713	173	12	6545	6545	NUM
brj-23713	173	13	-	-	SYM
brj-23713	173	14	6558	6558	NUM
brj-23713	173	15	.	.	PUNCT
brj-23713	174	1	6554	6554	NUM
brj-23713	174	2	was	be	AUX
brj-23713	174	3	the	the	DET
brj-23713	174	4	most	most	ADV
brj-23713	174	5	dominant	dominant	ADJ
brj-23713	174	6	factor	factor	NOUN
brj-23713	174	7	affecting	affect	VERB
brj-23713	174	8	the	the	DET
brj-23713	174	9	elemental	elemental	ADJ
brj-23713	174	10	composition	composition	NOUN
brj-23713	174	11	of	of	ADP
brj-23713	174	12	biochar	biochar	NOUN
brj-23713	174	13	(	(	PUNCT
brj-23713	174	14	su	su	PROPN
brj-23713	174	15	and	and	CCONJ
brj-23713	174	16	jiang	jiang	PROPN
brj-23713	174	17	2024	2024	NUM
brj-23713	174	18	)	)	PUNCT
brj-23713	174	19	.	.	PUNCT
brj-23713	175	1	furthermore	furthermore	ADV
brj-23713	175	2	,	,	PUNCT
brj-23713	175	3	temperature	temperature	NOUN
brj-23713	175	4	emerged	emerge	VERB
brj-23713	175	5	as	as	ADP
brj-23713	175	6	the	the	DET
brj-23713	175	7	paramount	paramount	ADJ
brj-23713	175	8	influence	influence	NOUN
brj-23713	175	9	on	on	ADP
brj-23713	175	10	both	both	CCONJ
brj-23713	175	11	fc	fc	PROPN
brj-23713	175	12	and	and	CCONJ
brj-23713	175	13	vm	vm	PROPN
brj-23713	175	14	,	,	PUNCT
brj-23713	175	15	while	while	SCONJ
brj-23713	175	16	the	the	DET
brj-23713	175	17	ash	ash	NOUN
brj-23713	175	18	content	content	NOUN
brj-23713	175	19	of	of	ADP
brj-23713	175	20	the	the	DET
brj-23713	175	21	resultant	resultant	NOUN
brj-23713	175	22	biochar	biochar	NOUN
brj-23713	175	23	directly	directly	ADV
brj-23713	175	24	mirrored	mirror	VERB
brj-23713	175	25	that	that	SCONJ
brj-23713	175	26	of	of	ADP
brj-23713	175	27	the	the	DET
brj-23713	175	28	initial	initial	ADJ
brj-23713	175	29	biomass	biomass	NOUN
brj-23713	175	30	,	,	PUNCT
brj-23713	175	31	which	which	PRON
brj-23713	175	32	is	be	AUX
brj-23713	175	33	consistent	consistent	ADJ
brj-23713	175	34	with	with	ADP
brj-23713	175	35	the	the	DET
brj-23713	175	36	patterns	pattern	NOUN
brj-23713	175	37	observed	observe	VERB
brj-23713	175	38	in	in	ADP
brj-23713	175	39	pearson	pearson	PROPN
brj-23713	175	40	correlation	correlation	NOUN
brj-23713	175	41	coefficients	coefficient	NOUN
brj-23713	175	42	.	.	PUNCT
brj-23713	176	1	indeed	indeed	ADV
brj-23713	176	2	,	,	PUNCT
brj-23713	176	3	temperature	temperature	NOUN
brj-23713	176	4	acts	act	VERB
brj-23713	176	5	as	as	ADP
brj-23713	176	6	the	the	DET
brj-23713	176	7	chief	chief	ADJ
brj-23713	176	8	catalyst	catalyst	NOUN
brj-23713	176	9	in	in	ADP
brj-23713	176	10	the	the	DET
brj-23713	176	11	pyrolytic	pyrolytic	ADJ
brj-23713	176	12	reactions	reaction	NOUN
brj-23713	176	13	,	,	PUNCT
brj-23713	176	14	exerting	exert	VERB
brj-23713	176	15	a	a	DET
brj-23713	176	16	substantial	substantial	ADJ
brj-23713	176	17	sway	sway	NOUN
brj-23713	176	18	over	over	ADP
brj-23713	176	19	biochar	biochar	NOUN
brj-23713	176	20	yield	yield	NOUN
brj-23713	176	21	.	.	PUNCT
brj-23713	177	1	an	an	DET
brj-23713	177	2	increase	increase	NOUN
brj-23713	177	3	in	in	ADP
brj-23713	177	4	the	the	DET
brj-23713	177	5	pyrolysis	pyrolysis	NOUN
brj-23713	177	6	temperature	temperature	NOUN
brj-23713	177	7	triggered	trigger	VERB
brj-23713	177	8	profound	profound	ADJ
brj-23713	177	9	alterations	alteration	NOUN
brj-23713	177	10	in	in	ADP
brj-23713	177	11	the	the	DET
brj-23713	177	12	biomass	biomass	NOUN
brj-23713	177	13	’s	’s	PART
brj-23713	177	14	physical	physical	ADJ
brj-23713	177	15	and	and	CCONJ
brj-23713	177	16	chemical	chemical	NOUN
brj-23713	177	17	characteristics	characteristic	NOUN
brj-23713	177	18	,	,	PUNCT
brj-23713	177	19	triggering	trigger	VERB
brj-23713	177	20	the	the	DET
brj-23713	177	21	liberation	liberation	NOUN
brj-23713	177	22	of	of	ADP
brj-23713	177	23	volatile	volatile	ADJ
brj-23713	177	24	components	component	NOUN
brj-23713	177	25	and	and	CCONJ
brj-23713	177	26	consequently	consequently	ADV
brj-23713	177	27	leading	lead	VERB
brj-23713	177	28	to	to	ADP
brj-23713	177	29	a	a	DET
brj-23713	177	30	diminished	diminished	ADJ
brj-23713	177	31	yield	yield	NOUN
brj-23713	177	32	of	of	ADP
brj-23713	177	33	biochar	biochar	NOUN
brj-23713	177	34	(	(	PUNCT
brj-23713	177	35	tomczyk	tomczyk	NOUN
brj-23713	177	36	et	et	PROPN
brj-23713	177	37	al	al	PROPN
brj-23713	177	38	.	.	PROPN
brj-23713	177	39	2020	2020	NUM
brj-23713	177	40	)	)	PUNCT
brj-23713	177	41	.	.	PUNCT
brj-23713	178	1	concurrently	concurrently	ADV
brj-23713	178	2	,	,	PUNCT
brj-23713	178	3	the	the	DET
brj-23713	178	4	rise	rise	NOUN
brj-23713	178	5	in	in	ADP
brj-23713	178	6	temperature	temperature	NOUN
brj-23713	178	7	facilitated	facilitate	VERB
brj-23713	178	8	the	the	DET
brj-23713	178	9	progressive	progressive	ADJ
brj-23713	178	10	carbonization	carbonization	NOUN
brj-23713	178	11	of	of	ADP
brj-23713	178	12	the	the	DET
brj-23713	178	13	residual	residual	ADJ
brj-23713	178	14	solid	solid	ADJ
brj-23713	178	15	biomass	biomass	NOUN
brj-23713	178	16	,	,	PUNCT
brj-23713	178	17	thereby	thereby	ADV
brj-23713	178	18	exerting	exert	VERB
brj-23713	178	19	a	a	DET
brj-23713	178	20	profound	profound	ADJ
brj-23713	178	21	effect	effect	NOUN
brj-23713	178	22	on	on	ADP
brj-23713	178	23	the	the	DET
brj-23713	178	24	compositional	compositional	ADJ
brj-23713	178	25	makeup	makeup	NOUN
brj-23713	178	26	and	and	CCONJ
brj-23713	178	27	structural	structural	ADJ
brj-23713	178	28	attributes	attribute	NOUN
brj-23713	178	29	of	of	ADP
brj-23713	178	30	the	the	DET
brj-23713	178	31	biochar	biochar	NOUN
brj-23713	178	32	produced	produce	VERB
brj-23713	178	33	.	.	PUNCT
brj-23713	179	1	nonetheless	nonetheless	ADV
brj-23713	179	2	,	,	PUNCT
brj-23713	179	3	the	the	DET
brj-23713	179	4	outcomes	outcome	NOUN
brj-23713	179	5	from	from	ADP
brj-23713	179	6	pcc	pcc	NOUN
brj-23713	179	7	and	and	CCONJ
brj-23713	179	8	feature	feature	VERB
brj-23713	179	9	important	important	ADJ
brj-23713	179	10	analyses	analysis	NOUN
brj-23713	179	11	diverge	diverge	VERB
brj-23713	179	12	in	in	ADP
brj-23713	179	13	their	their	PRON
brj-23713	179	14	implications	implication	NOUN
brj-23713	179	15	.	.	PUNCT
brj-23713	180	1	a	a	DET
brj-23713	180	2	case	case	NOUN
brj-23713	180	3	in	in	ADP
brj-23713	180	4	point	point	NOUN
brj-23713	180	5	is	be	AUX
brj-23713	180	6	that	that	SCONJ
brj-23713	180	7	pcc	pcc	NOUN
brj-23713	180	8	suggests	suggest	VERB
brj-23713	180	9	the	the	DET
brj-23713	180	10	h	h	NOUN
brj-23713	180	11	and	and	CCONJ
brj-23713	180	12	o	o	NOUN
brj-23713	180	13	contents	content	NOUN
brj-23713	180	14	in	in	ADP
brj-23713	180	15	the	the	DET
brj-23713	180	16	biomass	biomass	NOUN
brj-23713	180	17	as	as	ADP
brj-23713	180	18	the	the	DET
brj-23713	180	19	principal	principal	ADJ
brj-23713	180	20	determinants	determinant	NOUN
brj-23713	180	21	of	of	ADP
brj-23713	180	22	biochar	biochar	NOUN
brj-23713	180	23	yield	yield	NOUN
brj-23713	180	24	,	,	PUNCT
brj-23713	180	25	whereas	whereas	SCONJ
brj-23713	180	26	feature	feature	NOUN
brj-23713	180	27	importance	importance	NOUN
brj-23713	180	28	highlights	highlight	NOUN
brj-23713	180	29	temperature	temperature	NOUN
brj-23713	180	30	as	as	ADP
brj-23713	180	31	the	the	DET
brj-23713	180	32	vital	vital	ADJ
brj-23713	180	33	element	element	NOUN
brj-23713	180	34	.	.	PUNCT
brj-23713	181	1	this	this	DET
brj-23713	181	2	disparity	disparity	NOUN
brj-23713	181	3	stems	stem	VERB
brj-23713	181	4	from	from	ADP
brj-23713	181	5	the	the	DET
brj-23713	181	6	differing	differ	VERB
brj-23713	181	7	lenses	lense	NOUN
brj-23713	181	8	through	through	ADP
brj-23713	181	9	which	which	PRON
brj-23713	181	10	pcc	pcc	NOUN
brj-23713	181	11	and	and	CCONJ
brj-23713	181	12	feature	feature	NOUN
brj-23713	181	13	importance	importance	NOUN
brj-23713	181	14	view	view	NOUN
brj-23713	181	15	variable	variable	ADJ
brj-23713	181	16	relationships	relationship	NOUN
brj-23713	181	17	.	.	PUNCT
brj-23713	182	1	pcc	pcc	NOUN
brj-23713	182	2	essentially	essentially	ADV
brj-23713	182	3	quantifies	quantify	VERB
brj-23713	182	4	linear	linear	PROPN
brj-23713	182	5	associations	association	NOUN
brj-23713	182	6	between	between	ADP
brj-23713	182	7	pairs	pair	NOUN
brj-23713	182	8	of	of	ADP
brj-23713	182	9	variables	variable	NOUN
brj-23713	182	10	,	,	PUNCT
brj-23713	182	11	and	and	CCONJ
brj-23713	182	12	thus	thus	ADV
brj-23713	182	13	,	,	PUNCT
brj-23713	182	14	it	it	PRON
brj-23713	182	15	may	may	AUX
brj-23713	182	16	fall	fall	VERB
brj-23713	182	17	short	short	ADV
brj-23713	182	18	in	in	ADP
brj-23713	182	19	fully	fully	ADV
brj-23713	182	20	encapsulating	encapsulate	VERB
brj-23713	182	21	interactions	interaction	NOUN
brj-23713	182	22	that	that	PRON
brj-23713	182	23	exhibit	exhibit	VERB
brj-23713	182	24	non	non	ADJ
brj-23713	182	25	-	-	ADJ
brj-23713	182	26	linear	linear	ADJ
brj-23713	182	27	patterns	pattern	NOUN
brj-23713	182	28	or	or	CCONJ
brj-23713	182	29	higher	high	ADJ
brj-23713	182	30	degrees	degree	NOUN
brj-23713	182	31	of	of	ADP
brj-23713	182	32	intricacy	intricacy	NOUN
brj-23713	182	33	.	.	PUNCT
brj-23713	183	1	conversely	conversely	ADV
brj-23713	183	2	,	,	PUNCT
brj-23713	183	3	feature	feature	NOUN
brj-23713	183	4	importance	importance	NOUN
brj-23713	183	5	adopts	adopt	VERB
brj-23713	183	6	a	a	DET
brj-23713	183	7	broader	broad	ADJ
brj-23713	183	8	perspective	perspective	NOUN
brj-23713	183	9	,	,	PUNCT
brj-23713	183	10	assessing	assess	VERB
brj-23713	183	11	the	the	DET
brj-23713	183	12	cumulative	cumulative	ADJ
brj-23713	183	13	impact	impact	NOUN
brj-23713	183	14	of	of	ADP
brj-23713	183	15	each	each	DET
brj-23713	183	16	feature	feature	NOUN
brj-23713	183	17	on	on	ADP
brj-23713	183	18	the	the	DET
brj-23713	183	19	predictive	predictive	ADJ
brj-23713	183	20	efficacy	efficacy	NOUN
brj-23713	183	21	of	of	ADP
brj-23713	183	22	the	the	DET
brj-23713	183	23	machine	machine	NOUN
brj-23713	183	24	learning	learning	NOUN
brj-23713	183	25	model	model	NOUN
brj-23713	183	26	without	without	ADP
brj-23713	183	27	being	be	AUX
brj-23713	183	28	constrained	constrain	VERB
brj-23713	183	29	by	by	ADP
brj-23713	183	30	assumptions	assumption	NOUN
brj-23713	183	31	of	of	ADP
brj-23713	183	32	linearity	linearity	NOUN
brj-23713	183	33	.	.	PUNCT
brj-23713	184	1	it	it	PRON
brj-23713	184	2	comprehensively	comprehensively	ADV
brj-23713	184	3	evaluates	evaluate	VERB
brj-23713	184	4	contributions	contribution	NOUN
brj-23713	184	5	,	,	PUNCT
brj-23713	184	6	even	even	ADV
brj-23713	184	7	in	in	ADP
brj-23713	184	8	the	the	DET
brj-23713	184	9	presence	presence	NOUN
brj-23713	184	10	of	of	ADP
brj-23713	184	11	complex	complex	ADJ
brj-23713	184	12	,	,	PUNCT
brj-23713	184	13	non	non	ADJ
brj-23713	184	14	-	-	ADJ
brj-23713	184	15	linear	linear	ADJ
brj-23713	184	16	relationships	relationship	NOUN
brj-23713	184	17	,	,	PUNCT
brj-23713	184	18	offering	offer	VERB
brj-23713	184	19	a	a	DET
brj-23713	184	20	more	more	ADV
brj-23713	184	21	nuanced	nuanced	ADJ
brj-23713	184	22	understanding	understanding	NOUN
brj-23713	184	23	of	of	ADP
brj-23713	184	24	the	the	DET
brj-23713	184	25	relative	relative	ADJ
brj-23713	184	26	significance	significance	NOUN
brj-23713	184	27	of	of	ADP
brj-23713	184	28	each	each	DET
brj-23713	184	29	feature	feature	NOUN
brj-23713	184	30	(	(	PUNCT
brj-23713	184	31	rengasamy	rengasamy	NOUN
brj-23713	184	32	et	et	PROPN
brj-23713	184	33	al	al	PROPN
brj-23713	184	34	.	.	PROPN
brj-23713	184	35	2022	2022	NUM
brj-23713	184	36	)	)	PUNCT
brj-23713	184	37	.	.	PUNCT
brj-23713	185	1	illustrated	illustrate	VERB
brj-23713	185	2	in	in	ADP
brj-23713	185	3	figs	fig	NOUN
brj-23713	185	4	.	.	PUNCT
brj-23713	186	1	4(b	4(b	NUM
brj-23713	186	2	)	)	PUNCT
brj-23713	186	3	and	and	CCONJ
brj-23713	186	4	4(c	4(c	NUM
brj-23713	186	5	)	)	PUNCT
brj-23713	186	6	,	,	PUNCT
brj-23713	186	7	shap	shap	NOUN
brj-23713	186	8	analysis	analysis	NOUN
brj-23713	186	9	elucidates	elucidate	VERB
brj-23713	186	10	the	the	DET
brj-23713	186	11	individual	individual	ADJ
brj-23713	186	12	impact	impact	NOUN
brj-23713	186	13	of	of	ADP
brj-23713	186	14	each	each	DET
brj-23713	186	15	input	input	NOUN
brj-23713	186	16	feature	feature	NOUN
brj-23713	186	17	on	on	ADP
brj-23713	186	18	biochar	biochar	NOUN
brj-23713	186	19	yield	yield	NOUN
brj-23713	186	20	results	result	NOUN
brj-23713	186	21	.	.	PUNCT
brj-23713	187	1	by	by	ADP
brj-23713	187	2	assigning	assign	VERB
brj-23713	187	3	a	a	DET
brj-23713	187	4	quantitative	quantitative	ADJ
brj-23713	187	5	shap	shap	NOUN
brj-23713	187	6	value	value	NOUN
brj-23713	187	7	to	to	ADP
brj-23713	187	8	each	each	DET
brj-23713	187	9	data	datum	NOUN
brj-23713	187	10	entry	entry	NOUN
brj-23713	187	11	,	,	PUNCT
brj-23713	187	12	it	it	PRON
brj-23713	187	13	measures	measure	VERB
brj-23713	187	14	the	the	DET
brj-23713	187	15	extent	extent	NOUN
brj-23713	187	16	to	to	PART
brj-23713	187	17	which	which	PRON
brj-23713	187	18	each	each	DET
brj-23713	187	19	input	input	NOUN
brj-23713	187	20	variable	variable	NOUN
brj-23713	187	21	contributes	contribute	VERB
brj-23713	187	22	to	to	ADP
brj-23713	187	23	the	the	DET
brj-23713	187	24	predicted	predict	VERB
brj-23713	187	25	output	output	NOUN
brj-23713	187	26	.	.	PUNCT
brj-23713	188	1	positive	positive	ADJ
brj-23713	188	2	shap	shap	PROPN
brj-23713	188	3	scores	score	NOUN
brj-23713	188	4	represent	represent	VERB
brj-23713	188	5	features	feature	NOUN
brj-23713	188	6	that	that	PRON
brj-23713	188	7	enhance	enhance	VERB
brj-23713	188	8	the	the	DET
brj-23713	188	9	predicted	predict	VERB
brj-23713	188	10	value	value	NOUN
brj-23713	188	11	,	,	PUNCT
brj-23713	188	12	while	while	SCONJ
brj-23713	188	13	color	color	NOUN
brj-23713	188	14	coding	coding	NOUN
brj-23713	188	15	(	(	PUNCT
brj-23713	188	16	red	red	ADJ
brj-23713	188	17	for	for	ADP
brj-23713	188	18	high	high	ADJ
brj-23713	188	19	and	and	CCONJ
brj-23713	188	20	blue	blue	ADJ
brj-23713	188	21	for	for	ADP
brj-23713	188	22	low	low	ADJ
brj-23713	188	23	original	original	ADJ
brj-23713	188	24	eigenvalues	eigenvalue	NOUN
brj-23713	188	25	)	)	PUNCT
brj-23713	188	26	helps	help	VERB
brj-23713	188	27	to	to	PART
brj-23713	188	28	understand	understand	VERB
brj-23713	188	29	the	the	DET
brj-23713	188	30	magnitude	magnitude	NOUN
brj-23713	188	31	and	and	CCONJ
brj-23713	188	32	direction	direction	NOUN
brj-23713	188	33	of	of	ADP
brj-23713	188	34	the	the	DET
brj-23713	188	35	impact	impact	NOUN
brj-23713	188	36	visually	visually	ADV
brj-23713	188	37	.	.	PUNCT
brj-23713	189	1	both	both	DET
brj-23713	189	2	temperature	temperature	NOUN
brj-23713	189	3	and	and	CCONJ
brj-23713	189	4	oxygen	oxygen	NOUN
brj-23713	189	5	(	(	PUNCT
brj-23713	189	6	o	o	NOUN
brj-23713	189	7	)	)	PUNCT
brj-23713	189	8	content	content	NOUN
brj-23713	189	9	adversely	adversely	ADV
brj-23713	189	10	affect	affect	VERB
brj-23713	189	11	biochar	biochar	NOUN
brj-23713	189	12	yield	yield	NOUN
brj-23713	189	13	and	and	CCONJ
brj-23713	189	14	carbon	carbon	NOUN
brj-23713	189	15	content	content	NOUN
brj-23713	189	16	,	,	PUNCT
brj-23713	189	17	and	and	CCONJ
brj-23713	189	18	temperature	temperature	NOUN
brj-23713	189	19	further	far	ADV
brj-23713	189	20	dominates	dominate	VERB
brj-23713	189	21	the	the	DET
brj-23713	189	22	approximate	approximate	ADJ
brj-23713	189	23	analysis	analysis	NOUN
brj-23713	189	24	of	of	ADP
brj-23713	189	25	biochar	biochar	NOUN
brj-23713	189	26	properties	property	NOUN
brj-23713	189	27	.	.	PUNCT
brj-23713	190	1	although	although	SCONJ
brj-23713	190	2	increasing	increase	VERB
brj-23713	190	3	pyrolysis	pyrolysis	NOUN
brj-23713	190	4	temperature	temperature	NOUN
brj-23713	190	5	enhances	enhance	VERB
brj-23713	190	6	the	the	DET
brj-23713	190	7	carbon	carbon	NOUN
brj-23713	190	8	stability	stability	NOUN
brj-23713	190	9	in	in	ADP
brj-23713	190	10	biochar	biochar	NOUN
brj-23713	190	11	by	by	ADP
brj-23713	190	12	increasing	increase	VERB
brj-23713	190	13	the	the	DET
brj-23713	190	14	decomposition	decomposition	NOUN
brj-23713	190	15	of	of	ADP
brj-23713	190	16	biomass	biomass	NOUN
brj-23713	190	17	,	,	PUNCT
brj-23713	190	18	it	it	PRON
brj-23713	190	19	is	be	AUX
brj-23713	190	20	negatively	negatively	ADV
brj-23713	190	21	correlated	correlate	VERB
brj-23713	190	22	with	with	ADP
brj-23713	190	23	biochar	biochar	NOUN
brj-23713	190	24	yield	yield	NOUN
brj-23713	190	25	.	.	PUNCT
brj-23713	191	1	in	in	ADP
brj-23713	191	2	contrast	contrast	NOUN
brj-23713	191	3	,	,	PUNCT
brj-23713	191	4	a	a	DET
brj-23713	191	5	higher	high	ADJ
brj-23713	191	6	calorific	calorific	ADJ
brj-23713	191	7	value	value	NOUN
brj-23713	191	8	(	(	PUNCT
brj-23713	191	9	hhv	hhv	NOUN
brj-23713	191	10	)	)	PUNCT
brj-23713	191	11	in	in	ADP
brj-23713	191	12	biomass	biomass	NOUN
brj-23713	191	13	indicates	indicate	VERB
brj-23713	191	14	a	a	DET
brj-23713	191	15	higher	high	ADJ
brj-23713	191	16	carbon	carbon	NOUN
brj-23713	191	17	-	-	PUNCT
brj-23713	191	18	oxygen	oxygen	NOUN
brj-23713	191	19	ratio	ratio	NOUN
brj-23713	191	20	,	,	PUNCT
brj-23713	191	21	which	which	PRON
brj-23713	191	22	is	be	AUX
brj-23713	191	23	more	more	ADV
brj-23713	191	24	conducive	conducive	ADJ
brj-23713	191	25	to	to	ADP
brj-23713	191	26	the	the	DET
brj-23713	191	27	pyrolysis	pyrolysis	NOUN
brj-23713	191	28	process	process	NOUN
brj-23713	191	29	and	and	CCONJ
brj-23713	191	30	thus	thus	ADV
brj-23713	191	31	increases	increase	VERB
brj-23713	191	32	biochar	biochar	NOUN
brj-23713	191	33	production	production	NOUN
brj-23713	191	34	(	(	PUNCT
brj-23713	191	35	seow	seow	PROPN
brj-23713	191	36	et	et	PROPN
brj-23713	191	37	al	al	PROPN
brj-23713	191	38	.	.	PROPN
brj-23713	191	39	2022	2022	NUM
brj-23713	191	40	)	)	PUNCT
brj-23713	191	41	.	.	PUNCT
brj-23713	192	1	this	this	PRON
brj-23713	192	2	reflects	reflect	VERB
brj-23713	192	3	that	that	SCONJ
brj-23713	192	4	biomass	biomass	NOUN
brj-23713	192	5	with	with	ADP
brj-23713	192	6	higher	high	ADJ
brj-23713	192	7	energy	energy	NOUN
brj-23713	192	8	density	density	NOUN
brj-23713	192	9	,	,	PUNCT
brj-23713	192	10	which	which	PRON
brj-23713	192	11	is	be	AUX
brj-23713	192	12	characterized	characterize	VERB
brj-23713	192	13	by	by	ADP
brj-23713	192	14	higher	high	ADJ
brj-23713	192	15	carbon	carbon	NOUN
brj-23713	192	16	content	content	NOUN
brj-23713	192	17	and	and	CCONJ
brj-23713	192	18	less	less	ADJ
brj-23713	192	19	oxygen	oxygen	NOUN
brj-23713	192	20	,	,	PUNCT
brj-23713	192	21	can	can	AUX
brj-23713	192	22	be	be	AUX
brj-23713	192	23	more	more	ADV
brj-23713	192	24	efficiently	efficiently	ADV
brj-23713	192	25	converted	convert	VERB
brj-23713	192	26	into	into	ADP
brj-23713	192	27	biochar	biochar	NOUN
brj-23713	192	28	during	during	ADP
brj-23713	192	29	pyrolysis	pyrolysis	NOUN
brj-23713	192	30	,	,	PUNCT
brj-23713	192	31	resulting	result	VERB
brj-23713	192	32	in	in	ADP
brj-23713	192	33	higher	high	ADJ
brj-23713	192	34	yields	yield	NOUN
brj-23713	192	35	.	.	PUNCT
brj-23713	193	1	more	more	ADV
brj-23713	193	2	specifically	specifically	ADV
brj-23713	193	3	,	,	PUNCT
brj-23713	193	4	in	in	ADP
brj-23713	193	5	the	the	DET
brj-23713	193	6	biochar	biochar	NOUN
brj-23713	193	7	manufacturing	manufacturing	NOUN
brj-23713	193	8	process	process	NOUN
brj-23713	193	9	,	,	PUNCT
brj-23713	193	10	temperature	temperature	NOUN
brj-23713	193	11	regulation	regulation	NOUN
brj-23713	193	12	and	and	CCONJ
brj-23713	193	13	oxygen	oxygen	NOUN
brj-23713	193	14	management	management	NOUN
brj-23713	193	15	are	be	AUX
brj-23713	193	16	two	two	NUM
brj-23713	193	17	core	core	NOUN
brj-23713	193	18	elements	element	NOUN
brj-23713	193	19	that	that	PRON
brj-23713	193	20	directly	directly	ADV
brj-23713	193	21	affect	affect	VERB
brj-23713	193	22	the	the	DET
brj-23713	193	23	yield	yield	NOUN
brj-23713	193	24	of	of	ADP
brj-23713	193	25	biochar	biochar	NOUN
brj-23713	193	26	and	and	CCONJ
brj-23713	193	27	its	its	PRON
brj-23713	193	28	carbon	carbon	NOUN
brj-23713	193	29	content	content	NOUN
brj-23713	193	30	.	.	PUNCT
brj-23713	194	1	an	an	DET
brj-23713	194	2	increase	increase	NOUN
brj-23713	194	3	in	in	ADP
brj-23713	194	4	temperature	temperature	NOUN
brj-23713	194	5	accelerates	accelerate	VERB
brj-23713	194	6	the	the	DET
brj-23713	194	7	pyrolysis	pyrolysis	NOUN
brj-23713	194	8	process	process	NOUN
brj-23713	194	9	of	of	ADP
brj-23713	194	10	biomass	biomass	NOUN
brj-23713	194	11	,	,	PUNCT
brj-23713	194	12	leading	lead	VERB
brj-23713	194	13	to	to	ADP
brj-23713	194	14	the	the	DET
brj-23713	194	15	precipitation	precipitation	NOUN
brj-23713	194	16	of	of	ADP
brj-23713	194	17	volatiles	volatile	NOUN
brj-23713	194	18	and	and	CCONJ
brj-23713	194	19	the	the	DET
brj-23713	194	20	conversion	conversion	NOUN
brj-23713	194	21	of	of	ADP
brj-23713	194	22	biomass	biomass	NOUN
brj-23713	194	23	into	into	ADP
brj-23713	194	24	biochar	biochar	NOUN
brj-23713	194	25	with	with	ADP
brj-23713	194	26	a	a	DET
brj-23713	194	27	high	high	ADJ
brj-23713	194	28	density	density	NOUN
brj-23713	194	29	carbon	carbon	NOUN
brj-23713	194	30	structure	structure	NOUN
brj-23713	194	31	(	(	PUNCT
brj-23713	194	32	vuppaladadiyam	vuppaladadiyam	ADV
brj-23713	194	33	et	et	PROPN
brj-23713	194	34	al	al	PROPN
brj-23713	194	35	.	.	PROPN
brj-23713	194	36	2022	2022	NUM
brj-23713	194	37	)	)	PUNCT
brj-23713	194	38	.	.	PUNCT
brj-23713	195	1	however	however	ADV
brj-23713	195	2	,	,	PUNCT
brj-23713	195	3	high	high	ADJ
brj-23713	195	4	temperatures	temperature	NOUN
brj-23713	195	5	enhance	enhance	VERB
brj-23713	195	6	the	the	DET
brj-23713	195	7	carbon	carbon	NOUN
brj-23713	195	8	stability	stability	NOUN
brj-23713	195	9	of	of	ADP
brj-23713	195	10	the	the	DET
brj-23713	195	11	biochar	biochar	NOUN
brj-23713	195	12	,	,	PUNCT
brj-23713	195	13	but	but	CCONJ
brj-23713	195	14	they	they	PRON
brj-23713	195	15	reduce	reduce	VERB
brj-23713	195	16	the	the	DET
brj-23713	195	17	overall	overall	ADJ
brj-23713	195	18	biochar	biochar	NOUN
brj-23713	195	19	yield	yield	NOUN
brj-23713	195	20	due	due	ADP
brj-23713	195	21	to	to	ADP
brj-23713	195	22	the	the	DET
brj-23713	195	23	conversion	conversion	NOUN
brj-23713	195	24	of	of	ADP
brj-23713	195	25	large	large	ADJ
brj-23713	195	26	amounts	amount	NOUN
brj-23713	195	27	of	of	ADP
brj-23713	195	28	organic	organic	ADJ
brj-23713	195	29	matter	matter	NOUN
brj-23713	195	30	into	into	ADP
brj-23713	195	31	gases	gas	NOUN
brj-23713	195	32	and	and	CCONJ
brj-23713	195	33	other	other	ADJ
brj-23713	195	34	non	non	ADJ
brj-23713	195	35	-	-	ADJ
brj-23713	195	36	solid	solid	ADJ
brj-23713	195	37	products	product	NOUN
brj-23713	195	38	.	.	PUNCT
brj-23713	196	1	the	the	DET
brj-23713	196	2	involvement	involvement	NOUN
brj-23713	196	3	of	of	ADP
brj-23713	196	4	oxygen	oxygen	NOUN
brj-23713	196	5	then	then	ADV
brj-23713	196	6	catalyzes	catalyze	VERB
brj-23713	196	7	the	the	DET
brj-23713	196	8	oxidation	oxidation	NOUN
brj-23713	196	9	reaction	reaction	NOUN
brj-23713	196	10	,	,	PUNCT
brj-23713	196	11	consuming	consume	VERB
brj-23713	196	12	the	the	DET
brj-23713	196	13	combustible	combustible	ADJ
brj-23713	196	14	fraction	fraction	NOUN
brj-23713	196	15	of	of	ADP
brj-23713	196	16	the	the	DET
brj-23713	196	17	biomass	biomass	NOUN
brj-23713	196	18	and	and	CCONJ
brj-23713	196	19	reducing	reduce	VERB
brj-23713	196	20	the	the	DET
brj-23713	196	21	carbon	carbon	NOUN
brj-23713	196	22	source	source	NOUN
brj-23713	196	23	for	for	ADP
brj-23713	196	24	biochar	biochar	NOUN
brj-23713	196	25	formation	formation	NOUN
brj-23713	196	26	.	.	PUNCT
brj-23713	197	1	therefore	therefore	ADV
brj-23713	197	2	,	,	PUNCT
brj-23713	197	3	limiting	limit	VERB
brj-23713	197	4	the	the	DET
brj-23713	197	5	supply	supply	NOUN
brj-23713	197	6	of	of	ADP
brj-23713	197	7	oxygen	oxygen	NOUN
brj-23713	197	8	during	during	ADP
brj-23713	197	9	the	the	DET
brj-23713	197	10	pyrolysis	pyrolysis	NOUN
brj-23713	197	11	stage	stage	NOUN
brj-23713	197	12	prevents	prevent	VERB
brj-23713	197	13	complete	complete	ADJ
brj-23713	197	14	oxidation	oxidation	NOUN
brj-23713	197	15	of	of	ADP
brj-23713	197	16	the	the	DET
brj-23713	197	17	biomass	biomass	NOUN
brj-23713	197	18	,	,	PUNCT
brj-23713	197	19	thus	thus	ADV
brj-23713	197	20	retaining	retain	VERB
brj-23713	197	21	more	more	ADJ
brj-23713	197	22	carbon	carbon	NOUN
brj-23713	197	23	for	for	ADP
brj-23713	197	24	biochar	biochar	NOUN
brj-23713	197	25	generation	generation	NOUN
brj-23713	197	26	(	(	PUNCT
brj-23713	197	27	zou	zou	X
brj-23713	197	28	et	et	PROPN
brj-23713	197	29	al	al	PROPN
brj-23713	197	30	.	.	PROPN
brj-23713	197	31	peer	peer	NOUN
brj-23713	197	32	-	-	PUNCT
brj-23713	197	33	reviewed	review	VERB
brj-23713	197	34	article	article	NOUN
brj-23713	197	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	197	36	xu	xu	PROPN
brj-23713	197	37	et	et	PROPN
brj-23713	197	38	al	al	PROPN
brj-23713	197	39	.	.	PROPN
brj-23713	198	1	(	(	PUNCT
brj-23713	198	2	2024	2024	NUM
brj-23713	198	3	)	)	PUNCT
brj-23713	198	4	.	.	PUNCT
brj-23713	199	1	“	"	PUNCT
brj-23713	199	2	machine	machine	NOUN
brj-23713	199	3	learning	learning	NOUN
brj-23713	199	4	for	for	ADP
brj-23713	199	5	biochar	biochar	NOUN
brj-23713	199	6	,	,	PUNCT
brj-23713	199	7	”	"	PUNCT
brj-23713	199	8	bioresources	bioresource	NOUN
brj-23713	199	9	19(3	19(3	NUM
brj-23713	199	10	)	)	PUNCT
brj-23713	199	11	,	,	PUNCT
brj-23713	199	12	6545	6545	NUM
brj-23713	199	13	-	-	SYM
brj-23713	199	14	6558	6558	NUM
brj-23713	199	15	.	.	PUNCT
brj-23713	200	1	6555	6555	NUM
brj-23713	200	2	2024	2024	NUM
brj-23713	200	3	)	)	PUNCT
brj-23713	200	4	.	.	PUNCT
brj-23713	201	1	in	in	ADP
brj-23713	201	2	addition	addition	NOUN
brj-23713	201	3	,	,	PUNCT
brj-23713	201	4	the	the	DET
brj-23713	201	5	calorific	calorific	ADJ
brj-23713	201	6	value	value	NOUN
brj-23713	201	7	(	(	PUNCT
brj-23713	201	8	hhv	hhv	NOUN
brj-23713	201	9	)	)	PUNCT
brj-23713	201	10	of	of	ADP
brj-23713	201	11	the	the	DET
brj-23713	201	12	feedstock	feedstock	NOUN
brj-23713	201	13	biomass	biomass	NOUN
brj-23713	201	14	is	be	AUX
brj-23713	201	15	also	also	ADV
brj-23713	201	16	an	an	DET
brj-23713	201	17	important	important	ADJ
brj-23713	201	18	factor	factor	NOUN
brj-23713	201	19	.	.	PUNCT
brj-23713	202	1	a	a	DET
brj-23713	202	2	high	high	ADJ
brj-23713	202	3	hhv	hhv	NOUN
brj-23713	202	4	often	often	ADV
brj-23713	202	5	implies	imply	VERB
brj-23713	202	6	a	a	DET
brj-23713	202	7	high	high	ADJ
brj-23713	202	8	carbon	carbon	NOUN
brj-23713	202	9	-	-	PUNCT
brj-23713	202	10	oxygen	oxygen	NOUN
brj-23713	202	11	ratio	ratio	NOUN
brj-23713	202	12	,	,	PUNCT
brj-23713	202	13	i.e.	i.e.	X
brj-23713	202	14	,	,	PUNCT
brj-23713	202	15	the	the	DET
brj-23713	202	16	biomass	biomass	NOUN
brj-23713	202	17	contains	contain	VERB
brj-23713	202	18	a	a	DET
brj-23713	202	19	high	high	ADJ
brj-23713	202	20	energy	energy	NOUN
brj-23713	202	21	density	density	NOUN
brj-23713	202	22	inside	inside	ADV
brj-23713	202	23	,	,	PUNCT
brj-23713	202	24	which	which	PRON
brj-23713	202	25	is	be	AUX
brj-23713	202	26	reflected	reflect	VERB
brj-23713	202	27	in	in	ADP
brj-23713	202	28	a	a	DET
brj-23713	202	29	high	high	ADJ
brj-23713	202	30	carbon	carbon	NOUN
brj-23713	202	31	and	and	CCONJ
brj-23713	202	32	low	low	ADJ
brj-23713	202	33	oxygen	oxygen	NOUN
brj-23713	202	34	content	content	NOUN
brj-23713	202	35	;	;	PUNCT
brj-23713	202	36	such	such	ADJ
brj-23713	202	37	biomass	biomass	NOUN
brj-23713	202	38	is	be	AUX
brj-23713	202	39	more	more	ADV
brj-23713	202	40	favorable	favorable	ADJ
brj-23713	202	41	to	to	PART
brj-23713	202	42	be	be	AUX
brj-23713	202	43	converted	convert	VERB
brj-23713	202	44	into	into	ADP
brj-23713	202	45	biochar	biochar	NOUN
brj-23713	202	46	under	under	ADP
brj-23713	202	47	pyrolysis	pyrolysis	NOUN
brj-23713	202	48	conditions	condition	NOUN
brj-23713	202	49	because	because	SCONJ
brj-23713	202	50	its	its	PRON
brj-23713	202	51	high	high	ADJ
brj-23713	202	52	carbon	carbon	NOUN
brj-23713	202	53	and	and	CCONJ
brj-23713	202	54	low	low	ADJ
brj-23713	202	55	oxygen	oxygen	NOUN
brj-23713	202	56	characteristics	characteristic	NOUN
brj-23713	202	57	are	be	AUX
brj-23713	202	58	conducive	conducive	ADJ
brj-23713	202	59	to	to	ADP
brj-23713	202	60	the	the	DET
brj-23713	202	61	construction	construction	NOUN
brj-23713	202	62	of	of	ADP
brj-23713	202	63	a	a	DET
brj-23713	202	64	stable	stable	ADJ
brj-23713	202	65	carbon	carbon	NOUN
brj-23713	202	66	skeleton	skeleton	NOUN
brj-23713	202	67	(	(	PUNCT
brj-23713	202	68	liu	liu	PROPN
brj-23713	202	69	et	et	PROPN
brj-23713	202	70	al	al	PROPN
brj-23713	202	71	.	.	PROPN
brj-23713	202	72	2023	2023	NUM
brj-23713	202	73	)	)	PUNCT
brj-23713	202	74	.	.	PUNCT
brj-23713	203	1	in	in	ADP
brj-23713	203	2	summary	summary	NOUN
brj-23713	203	3	,	,	PUNCT
brj-23713	203	4	the	the	DET
brj-23713	203	5	combination	combination	NOUN
brj-23713	203	6	of	of	ADP
brj-23713	203	7	feature	feature	NOUN
brj-23713	203	8	importance	importance	NOUN
brj-23713	203	9	and	and	CCONJ
brj-23713	203	10	shap	shap	NOUN
brj-23713	203	11	analyses	analysis	NOUN
brj-23713	203	12	proves	prove	VERB
brj-23713	203	13	instrumental	instrumental	ADJ
brj-23713	203	14	in	in	ADP
brj-23713	203	15	pinpointing	pinpoint	VERB
brj-23713	203	16	the	the	DET
brj-23713	203	17	salient	salient	NOUN
brj-23713	203	18	factors	factor	NOUN
brj-23713	203	19	shaping	shape	VERB
brj-23713	203	20	biochar	biochar	NOUN
brj-23713	203	21	attributes	attribute	NOUN
brj-23713	203	22	during	during	ADP
brj-23713	203	23	pyrolysis	pyrolysis	NOUN
brj-23713	203	24	.	.	PUNCT
brj-23713	204	1	specifically	specifically	ADV
brj-23713	204	2	,	,	PUNCT
brj-23713	204	3	temperature	temperature	NOUN
brj-23713	204	4	alongside	alongside	ADP
brj-23713	204	5	biomass	biomass	NOUN
brj-23713	204	6	properties	property	NOUN
brj-23713	204	7	,	,	PUNCT
brj-23713	204	8	notably	notably	ADV
brj-23713	204	9	o	o	NOUN
brj-23713	204	10	and	and	CCONJ
brj-23713	204	11	ash	ash	NOUN
brj-23713	204	12	content	content	NOUN
brj-23713	204	13	,	,	PUNCT
brj-23713	204	14	stand	stand	VERB
brj-23713	204	15	out	out	ADP
brj-23713	204	16	as	as	ADP
brj-23713	204	17	paramount	paramount	ADJ
brj-23713	204	18	influencers	influencer	NOUN
brj-23713	204	19	of	of	ADP
brj-23713	204	20	biochar	biochar	NOUN
brj-23713	204	21	characteristics	characteristic	NOUN
brj-23713	204	22	.	.	PUNCT
brj-23713	205	1	elevating	elevate	VERB
brj-23713	205	2	the	the	DET
brj-23713	205	3	temperature	temperature	NOUN
brj-23713	205	4	accelerates	accelerate	VERB
brj-23713	205	5	both	both	CCONJ
brj-23713	205	6	the	the	DET
brj-23713	205	7	release	release	NOUN
brj-23713	205	8	of	of	ADP
brj-23713	205	9	volatile	volatile	ADJ
brj-23713	205	10	components	component	NOUN
brj-23713	205	11	and	and	CCONJ
brj-23713	205	12	the	the	DET
brj-23713	205	13	carbonization	carbonization	NOUN
brj-23713	205	14	process	process	NOUN
brj-23713	205	15	in	in	ADP
brj-23713	205	16	biomass	biomass	NOUN
brj-23713	205	17	,	,	PUNCT
brj-23713	205	18	thereby	thereby	ADV
brj-23713	205	19	driving	drive	VERB
brj-23713	205	20	transformative	transformative	ADJ
brj-23713	205	21	shifts	shift	NOUN
brj-23713	205	22	in	in	ADP
brj-23713	205	23	the	the	DET
brj-23713	205	24	resultant	resultant	NOUN
brj-23713	205	25	biochar	biochar	NOUN
brj-23713	205	26	’s	’s	PART
brj-23713	205	27	properties	property	NOUN
brj-23713	205	28	.	.	PUNCT
brj-23713	206	1	fig	fig	NOUN
brj-23713	206	2	.	.	PUNCT
brj-23713	207	1	4	4	X
brj-23713	207	2	.	.	X
brj-23713	207	3	effects	effect	NOUN
brj-23713	207	4	of	of	ADP
brj-23713	207	5	input	input	NOUN
brj-23713	207	6	variables	variable	NOUN
brj-23713	207	7	on	on	ADP
brj-23713	207	8	biochar	biochar	NOUN
brj-23713	207	9	yield	yield	NOUN
brj-23713	207	10	and	and	CCONJ
brj-23713	207	11	c	c	NOUN
brj-23713	207	12	content	content	NOUN
brj-23713	207	13	based	base	VERB
brj-23713	207	14	on	on	ADP
brj-23713	207	15	xgboost	xgboost	PROPN
brj-23713	207	16	model	model	PROPN
brj-23713	207	17	using	use	VERB
brj-23713	207	18	(	(	PUNCT
brj-23713	207	19	a	a	PRON
brj-23713	207	20	)	)	PUNCT
brj-23713	207	21	feature	feature	NOUN
brj-23713	207	22	importance	importance	NOUN
brj-23713	207	23	and	and	CCONJ
brj-23713	207	24	(	(	PUNCT
brj-23713	207	25	b	b	X
brj-23713	207	26	-	-	PUNCT
brj-23713	207	27	c	c	NOUN
brj-23713	207	28	)	)	PUNCT
brj-23713	207	29	shap	shap	NOUN
brj-23713	207	30	analyses	analysis	NOUN
brj-23713	207	31	.	.	PUNCT
brj-23713	208	1	conclusions	conclusion	NOUN
brj-23713	208	2	the	the	DET
brj-23713	208	3	production	production	NOUN
brj-23713	208	4	and	and	CCONJ
brj-23713	208	5	characteristics	characteristic	NOUN
brj-23713	208	6	of	of	ADP
brj-23713	208	7	biochar	biochar	NOUN
brj-23713	208	8	are	be	AUX
brj-23713	208	9	governed	govern	VERB
brj-23713	208	10	by	by	ADP
brj-23713	208	11	the	the	DET
brj-23713	208	12	choice	choice	NOUN
brj-23713	208	13	of	of	ADP
brj-23713	208	14	biomass	biomass	NOUN
brj-23713	208	15	and	and	CCONJ
brj-23713	208	16	the	the	DET
brj-23713	208	17	specifics	specific	NOUN
brj-23713	208	18	of	of	ADP
brj-23713	208	19	the	the	DET
brj-23713	208	20	pyrolysis	pyrolysis	NOUN
brj-23713	208	21	process	process	NOUN
brj-23713	208	22	.	.	PUNCT
brj-23713	209	1	1	1	X
brj-23713	209	2	.	.	X
brj-23713	209	3	this	this	DET
brj-23713	209	4	study	study	NOUN
brj-23713	209	5	evaluated	evaluate	VERB
brj-23713	209	6	two	two	NUM
brj-23713	209	7	machine	machine	NOUN
brj-23713	209	8	learning	learn	VERB
brj-23713	209	9	algorithms	algorithm	NOUN
brj-23713	209	10	to	to	PART
brj-23713	209	11	anticipate	anticipate	VERB
brj-23713	209	12	biochar	biochar	NOUN
brj-23713	209	13	yields	yield	NOUN
brj-23713	209	14	and	and	CCONJ
brj-23713	209	15	carbon	carbon	NOUN
brj-23713	209	16	content	content	NOUN
brj-23713	209	17	via	via	ADP
brj-23713	209	18	xgboost	xgboost	ADJ
brj-23713	209	19	models	model	NOUN
brj-23713	209	20	and	and	CCONJ
brj-23713	209	21	demonstrated	demonstrate	VERB
brj-23713	209	22	the	the	DET
brj-23713	209	23	utmost	utmost	ADJ
brj-23713	209	24	predictive	predictive	ADJ
brj-23713	209	25	precision	precision	NOUN
brj-23713	209	26	,	,	PUNCT
brj-23713	209	27	boasting	boast	VERB
brj-23713	209	28	r²	r²	NOUN
brj-23713	209	29	scores	score	NOUN
brj-23713	209	30	ranging	range	VERB
brj-23713	209	31	from	from	ADP
brj-23713	209	32	0.92	0.92	NUM
brj-23713	209	33	to	to	ADP
brj-23713	209	34	0.98	0.98	NUM
brj-23713	209	35	.	.	PUNCT
brj-23713	210	1	2	2	NUM
brj-23713	210	2	.	.	X
brj-23713	210	3	through	through	ADP
brj-23713	210	4	meticulous	meticulous	ADJ
brj-23713	210	5	examinations	examination	NOUN
brj-23713	210	6	of	of	ADP
brj-23713	210	7	feature	feature	NOUN
brj-23713	210	8	importance	importance	NOUN
brj-23713	210	9	and	and	CCONJ
brj-23713	210	10	shap	shap	NOUN
brj-23713	210	11	analyses	analysis	NOUN
brj-23713	210	12	,	,	PUNCT
brj-23713	210	13	it	it	PRON
brj-23713	210	14	was	be	AUX
brj-23713	210	15	elucidated	elucidate	VERB
brj-23713	210	16	that	that	SCONJ
brj-23713	210	17	temperature	temperature	NOUN
brj-23713	210	18	plays	play	VERB
brj-23713	210	19	a	a	DET
brj-23713	210	20	pivotal	pivotal	ADJ
brj-23713	210	21	role	role	NOUN
brj-23713	210	22	in	in	ADP
brj-23713	210	23	dictating	dictate	VERB
brj-23713	210	24	biochar	biochar	NOUN
brj-23713	210	25	yield	yield	NOUN
brj-23713	210	26	,	,	PUNCT
brj-23713	210	27	while	while	SCONJ
brj-23713	210	28	o	o	NOUN
brj-23713	210	29	content	content	NOUN
brj-23713	210	30	is	be	AUX
brj-23713	210	31	a	a	DET
brj-23713	210	32	crucial	crucial	ADJ
brj-23713	210	33	determinant	determinant	NOUN
brj-23713	210	34	of	of	ADP
brj-23713	210	35	c	c	NOUN
brj-23713	210	36	-	-	NOUN
brj-23713	210	37	content	content	NOUN
brj-23713	210	38	within	within	ADP
brj-23713	210	39	the	the	DET
brj-23713	210	40	biochar	biochar	NOUN
brj-23713	210	41	.	.	PUNCT
brj-23713	211	1	3	3	X
brj-23713	211	2	.	.	X
brj-23713	211	3	collectively	collectively	ADV
brj-23713	211	4	,	,	PUNCT
brj-23713	211	5	the	the	DET
brj-23713	211	6	xgboost	xgboost	PROPN
brj-23713	211	7	model	model	NOUN
brj-23713	211	8	provided	provide	VERB
brj-23713	211	9	accurate	accurate	ADJ
brj-23713	211	10	predictions	prediction	NOUN
brj-23713	211	11	of	of	ADP
brj-23713	211	12	biochar	biochar	NOUN
brj-23713	211	13	yield	yield	NOUN
brj-23713	211	14	and	and	CCONJ
brj-23713	211	15	c	c	NOUN
brj-23713	211	16	content	content	NOUN
brj-23713	211	17	and	and	CCONJ
brj-23713	211	18	revealed	reveal	VERB
brj-23713	211	19	the	the	DET
brj-23713	211	20	effects	effect	NOUN
brj-23713	211	21	of	of	ADP
brj-23713	211	22	feedstock	feedstock	NOUN
brj-23713	211	23	and	and	CCONJ
brj-23713	211	24	pyrolysis	pyrolysis	NOUN
brj-23713	211	25	temperature	temperature	NOUN
brj-23713	211	26	on	on	ADP
brj-23713	211	27	peer	peer	NOUN
brj-23713	211	28	-	-	PUNCT
brj-23713	211	29	reviewed	review	VERB
brj-23713	211	30	article	article	NOUN
brj-23713	211	31	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	211	32	xu	xu	PROPN
brj-23713	211	33	et	et	PROPN
brj-23713	211	34	al	al	PROPN
brj-23713	211	35	.	.	PROPN
brj-23713	212	1	(	(	PUNCT
brj-23713	212	2	2024	2024	NUM
brj-23713	212	3	)	)	PUNCT
brj-23713	212	4	.	.	PUNCT
brj-23713	213	1	“	"	PUNCT
brj-23713	213	2	machine	machine	NOUN
brj-23713	213	3	learning	learning	NOUN
brj-23713	213	4	for	for	ADP
brj-23713	213	5	biochar	biochar	NOUN
brj-23713	213	6	,	,	PUNCT
brj-23713	213	7	”	"	PUNCT
brj-23713	213	8	bioresources	bioresource	NOUN
brj-23713	213	9	19(3	19(3	NUM
brj-23713	213	10	)	)	PUNCT
brj-23713	213	11	,	,	PUNCT
brj-23713	213	12	6545	6545	NUM
brj-23713	213	13	-	-	SYM
brj-23713	213	14	6558	6558	NUM
brj-23713	213	15	.	.	PUNCT
brj-23713	214	1	6556	6556	NUM
brj-23713	214	2	pyrolysis	pyrolysis	NOUN
brj-23713	214	3	.	.	PUNCT
brj-23713	215	1	this	this	DET
brj-23713	215	2	study	study	NOUN
brj-23713	215	3	has	have	AUX
brj-23713	215	4	provided	provide	VERB
brj-23713	215	5	a	a	DET
brj-23713	215	6	comprehensive	comprehensive	ADJ
brj-23713	215	7	understanding	understanding	NOUN
brj-23713	215	8	of	of	ADP
brj-23713	215	9	biochar	biochar	NOUN
brj-23713	215	10	production	production	NOUN
brj-23713	215	11	through	through	ADP
brj-23713	215	12	biomass	biomass	NOUN
brj-23713	215	13	pyrolysis	pyrolysis	NOUN
brj-23713	215	14	,	,	PUNCT
brj-23713	215	15	thus	thus	ADV
brj-23713	215	16	providing	provide	VERB
brj-23713	215	17	engineers	engineer	NOUN
brj-23713	215	18	with	with	ADP
brj-23713	215	19	a	a	DET
brj-23713	215	20	strategic	strategic	ADJ
brj-23713	215	21	direction	direction	NOUN
brj-23713	215	22	to	to	PART
brj-23713	215	23	optimise	optimise	VERB
brj-23713	215	24	biochar	biochar	NOUN
brj-23713	215	25	yield	yield	NOUN
brj-23713	215	26	or	or	CCONJ
brj-23713	215	27	its	its	PRON
brj-23713	215	28	carbon	carbon	NOUN
brj-23713	215	29	enrichment	enrichment	NOUN
brj-23713	215	30	.	.	PUNCT
brj-23713	216	1	acknowledgements	acknowledgement	NOUN
brj-23713	216	2	this	this	DET
brj-23713	216	3	research	research	NOUN
brj-23713	216	4	was	be	AUX
brj-23713	216	5	funded	fund	VERB
brj-23713	216	6	by	by	ADP
brj-23713	216	7	the	the	DET
brj-23713	216	8	natural	natural	ADJ
brj-23713	216	9	science	science	PROPN
brj-23713	216	10	foundation	foundation	NOUN
brj-23713	216	11	of	of	ADP
brj-23713	216	12	anhui	anhui	PROPN
brj-23713	216	13	province	province	PROPN
brj-23713	216	14	(	(	PUNCT
brj-23713	216	15	2308085qd122	2308085qd122	NUM
brj-23713	216	16	)	)	PUNCT
brj-23713	216	17	and	and	CCONJ
brj-23713	216	18	fundamental	fundamental	ADJ
brj-23713	216	19	research	research	NOUN
brj-23713	216	20	funds	fund	NOUN
brj-23713	216	21	for	for	ADP
brj-23713	216	22	the	the	DET
brj-23713	216	23	central	central	ADJ
brj-23713	216	24	universities	university	NOUN
brj-23713	216	25	(	(	PUNCT
brj-23713	216	26	jz2023hgta0198	jz2023hgta0198	ADJ
brj-23713	216	27	)	)	PUNCT
brj-23713	216	28	.	.	PUNCT
brj-23713	217	1	references	reference	NOUN
brj-23713	217	2	cited	cite	VERB
brj-23713	217	3	antar	antar	PROPN
brj-23713	217	4	,	,	PUNCT
brj-23713	217	5	m.	m.	NOUN
brj-23713	217	6	,	,	PUNCT
brj-23713	217	7	lyu	lyu	NOUN
brj-23713	217	8	,	,	PUNCT
brj-23713	217	9	d.	d.	PROPN
brj-23713	217	10	,	,	PUNCT
brj-23713	217	11	nazari	nazari	PROPN
brj-23713	217	12	,	,	PUNCT
brj-23713	217	13	m.	m.	NOUN
brj-23713	217	14	,	,	PUNCT
brj-23713	217	15	shah	shah	NOUN
brj-23713	217	16	,	,	PUNCT
brj-23713	217	17	a.	a.	NOUN
brj-23713	217	18	,	,	PUNCT
brj-23713	217	19	zhou	zhou	PROPN
brj-23713	217	20	,	,	PUNCT
brj-23713	217	21	x.	x.	NOUN
brj-23713	217	22	,	,	PUNCT
brj-23713	217	23	and	and	CCONJ
brj-23713	217	24	smith	smith	PROPN
brj-23713	217	25	,	,	PUNCT
brj-23713	217	26	d.	d.	PROPN
brj-23713	217	27	l.	l.	PROPN
brj-23713	217	28	(	(	PUNCT
brj-23713	217	29	2021	2021	NUM
brj-23713	217	30	)	)	PUNCT
brj-23713	217	31	.	.	PUNCT
brj-23713	218	1	“	"	PUNCT
brj-23713	218	2	biomass	biomass	NOUN
brj-23713	218	3	for	for	ADP
brj-23713	218	4	a	a	DET
brj-23713	218	5	sustainable	sustainable	ADJ
brj-23713	218	6	bioeconomy	bioeconomy	NOUN
brj-23713	218	7	:	:	PUNCT
brj-23713	218	8	an	an	DET
brj-23713	218	9	overview	overview	NOUN
brj-23713	218	10	of	of	ADP
brj-23713	218	11	world	world	NOUN
brj-23713	218	12	biomass	biomass	NOUN
brj-23713	218	13	production	production	NOUN
brj-23713	218	14	and	and	CCONJ
brj-23713	218	15	utilization	utilization	NOUN
brj-23713	218	16	,	,	PUNCT
brj-23713	218	17	”	"	PUNCT
brj-23713	218	18	renewable	renewable	ADJ
brj-23713	218	19	and	and	CCONJ
brj-23713	218	20	sustainable	sustainable	ADJ
brj-23713	218	21	energy	energy	NOUN
brj-23713	218	22	reviews	review	NOUN
brj-23713	218	23	139	139	NUM
brj-23713	218	24	,	,	PUNCT
brj-23713	218	25	article	article	NOUN
brj-23713	218	26	110691	110691	NUM
brj-23713	218	27	.	.	PUNCT
brj-23713	219	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	219	2	/	/	SYM
brj-23713	219	3	j.rser.2020.110691	j.rser.2020.110691	PROPN
brj-23713	219	4	banik	banik	X
brj-23713	219	5	,	,	PUNCT
brj-23713	219	6	r.	r.	PROPN
brj-23713	219	7	,	,	PUNCT
brj-23713	219	8	and	and	CCONJ
brj-23713	219	9	biswas	biswas	PROPN
brj-23713	219	10	,	,	PUNCT
brj-23713	219	11	a.	a.	NOUN
brj-23713	219	12	(	(	PUNCT
brj-23713	219	13	2024	2024	NUM
brj-23713	219	14	)	)	PUNCT
brj-23713	219	15	.	.	PUNCT
brj-23713	220	1	“	"	PUNCT
brj-23713	220	2	enhanced	enhance	VERB
brj-23713	220	3	renewable	renewable	ADJ
brj-23713	220	4	power	power	NOUN
brj-23713	220	5	and	and	CCONJ
brj-23713	220	6	load	load	NOUN
brj-23713	220	7	forecasting	forecasting	NOUN
brj-23713	220	8	using	use	VERB
brj-23713	220	9	rf	rf	NOUN
brj-23713	220	10	-	-	PUNCT
brj-23713	220	11	xgboost	xgboost	ADV
brj-23713	220	12	stacked	stack	VERB
brj-23713	220	13	ensemble	ensemble	ADJ
brj-23713	220	14	,	,	PUNCT
brj-23713	220	15	”	"	PUNCT
brj-23713	220	16	electrical	electrical	ADJ
brj-23713	220	17	engineering	engineering	NOUN
brj-23713	220	18	.	.	PUNCT
brj-23713	221	1	doi	doi	NOUN
brj-23713	221	2	:	:	PUNCT
brj-23713	221	3	10.1007	10.1007	NUM
brj-23713	221	4	/	/	SYM
brj-23713	221	5	s00202	s00202	PROPN
brj-23713	221	6	-	-	PUNCT
brj-23713	221	7	02402273	02402273	NUM
brj-23713	221	8	-	-	PUNCT
brj-23713	221	9	3	3	NUM
brj-23713	221	10	bischl	bischl	NOUN
brj-23713	221	11	,	,	PUNCT
brj-23713	221	12	b.	b.	PROPN
brj-23713	221	13	,	,	PUNCT
brj-23713	221	14	binder	binder	NOUN
brj-23713	221	15	,	,	PUNCT
brj-23713	221	16	m.	m.	NOUN
brj-23713	221	17	,	,	PUNCT
brj-23713	221	18	lang	lang	PROPN
brj-23713	221	19	,	,	PUNCT
brj-23713	221	20	m.	m.	NOUN
brj-23713	221	21	,	,	PUNCT
brj-23713	221	22	pielok	pielok	PROPN
brj-23713	221	23	,	,	PUNCT
brj-23713	221	24	t.	t.	PROPN
brj-23713	221	25	,	,	PUNCT
brj-23713	221	26	richter	richter	PROPN
brj-23713	221	27	,	,	PUNCT
brj-23713	221	28	j.	j.	PROPN
brj-23713	221	29	,	,	PUNCT
brj-23713	221	30	coors	coors	PROPN
brj-23713	221	31	,	,	PUNCT
brj-23713	221	32	s.	s.	PROPN
brj-23713	221	33	,	,	PUNCT
brj-23713	221	34	thomas	thomas	PROPN
brj-23713	221	35	,	,	PUNCT
brj-23713	221	36	j.	j.	PROPN
brj-23713	221	37	,	,	PUNCT
brj-23713	221	38	ullmann	ullmann	PROPN
brj-23713	221	39	,	,	PUNCT
brj-23713	221	40	t.	t.	PROPN
brj-23713	221	41	,	,	PUNCT
brj-23713	221	42	becker	becker	PROPN
brj-23713	221	43	,	,	PUNCT
brj-23713	221	44	m.	m.	NOUN
brj-23713	221	45	,	,	PUNCT
brj-23713	221	46	boulesteix	boulesteix	NOUN
brj-23713	221	47	,	,	PUNCT
brj-23713	221	48	a.	a.	PROPN
brj-23713	221	49	l.	l.	PROPN
brj-23713	221	50	,	,	PUNCT
brj-23713	221	51	et	et	PROPN
brj-23713	221	52	al	al	PROPN
brj-23713	221	53	.	.	PROPN
brj-23713	221	54	(	(	PUNCT
brj-23713	221	55	2023	2023	NUM
brj-23713	221	56	)	)	PUNCT
brj-23713	221	57	.	.	PUNCT
brj-23713	222	1	“	"	PUNCT
brj-23713	222	2	hyperparameter	hyperparameter	NOUN
brj-23713	222	3	optimization	optimization	NOUN
brj-23713	222	4	:	:	PUNCT
brj-23713	222	5	foundations	foundation	NOUN
brj-23713	222	6	,	,	PUNCT
brj-23713	222	7	algorithms	algorithm	NOUN
brj-23713	222	8	,	,	PUNCT
brj-23713	222	9	best	good	ADJ
brj-23713	222	10	practices	practice	NOUN
brj-23713	222	11	,	,	PUNCT
brj-23713	222	12	and	and	CCONJ
brj-23713	222	13	open	open	ADJ
brj-23713	222	14	challenges	challenge	NOUN
brj-23713	222	15	,	,	PUNCT
brj-23713	222	16	”	"	PUNCT
brj-23713	222	17	wires	wire	VERB
brj-23713	222	18	data	datum	NOUN
brj-23713	222	19	mining	mining	NOUN
brj-23713	222	20	and	and	CCONJ
brj-23713	222	21	knowledge	knowledge	NOUN
brj-23713	222	22	discovery	discovery	PROPN
brj-23713	222	23	13(2	13(2	PROPN
brj-23713	222	24	)	)	PUNCT
brj-23713	222	25	,	,	PUNCT
brj-23713	222	26	article	article	NOUN
brj-23713	222	27	e1484	e1484	PROPN
brj-23713	222	28	.	.	PUNCT
brj-23713	223	1	doi	doi	NOUN
brj-23713	223	2	:	:	PUNCT
brj-23713	223	3	10.1002	10.1002	NUM
brj-23713	223	4	/	/	SYM
brj-23713	223	5	widm.1484	widm.1484	PROPN
brj-23713	223	6	breiman	breiman	NOUN
brj-23713	223	7	,	,	PUNCT
brj-23713	223	8	l.	l.	PROPN
brj-23713	223	9	(	(	PUNCT
brj-23713	223	10	2001	2001	NUM
brj-23713	223	11	)	)	PUNCT
brj-23713	223	12	.	.	PUNCT
brj-23713	224	1	“	"	PUNCT
brj-23713	224	2	random	random	ADJ
brj-23713	224	3	forests	forest	NOUN
brj-23713	224	4	,	,	PUNCT
brj-23713	224	5	”	"	PUNCT
brj-23713	224	6	machine	machine	NOUN
brj-23713	224	7	learning	learning	PROPN
brj-23713	224	8	45(1	45(1	NOUN
brj-23713	224	9	)	)	PUNCT
brj-23713	224	10	,	,	PUNCT
brj-23713	224	11	5	5	NUM
brj-23713	224	12	-	-	SYM
brj-23713	224	13	32	32	NUM
brj-23713	224	14	.	.	PUNCT
brj-23713	225	1	chen	chen	PROPN
brj-23713	225	2	,	,	PUNCT
brj-23713	225	3	d.	d.	PROPN
brj-23713	225	4	,	,	PUNCT
brj-23713	225	5	cen	cen	PROPN
brj-23713	225	6	,	,	PUNCT
brj-23713	225	7	k.	k.	PROPN
brj-23713	225	8	,	,	PUNCT
brj-23713	225	9	zhuang	zhuang	PROPN
brj-23713	225	10	,	,	PUNCT
brj-23713	225	11	x.	x.	PROPN
brj-23713	225	12	,	,	PUNCT
brj-23713	225	13	gan	gan	PROPN
brj-23713	225	14	,	,	PUNCT
brj-23713	225	15	z.	z.	PROPN
brj-23713	225	16	,	,	PUNCT
brj-23713	225	17	zhou	zhou	PROPN
brj-23713	225	18	,	,	PUNCT
brj-23713	225	19	j.	j.	PROPN
brj-23713	225	20	,	,	PUNCT
brj-23713	225	21	zhang	zhang	PROPN
brj-23713	225	22	,	,	PUNCT
brj-23713	225	23	y.	y.	PROPN
brj-23713	225	24	,	,	PUNCT
brj-23713	225	25	and	and	CCONJ
brj-23713	225	26	zhang	zhang	PROPN
brj-23713	225	27	,	,	PUNCT
brj-23713	225	28	h.	h.	PROPN
brj-23713	225	29	(	(	PUNCT
brj-23713	225	30	2022	2022	NUM
brj-23713	225	31	)	)	PUNCT
brj-23713	225	32	.	.	PUNCT
brj-23713	226	1	“	"	PUNCT
brj-23713	226	2	insight	insight	NOUN
brj-23713	226	3	into	into	ADP
brj-23713	226	4	biomass	biomass	NOUN
brj-23713	226	5	pyrolysis	pyrolysis	NOUN
brj-23713	226	6	mechanism	mechanism	NOUN
brj-23713	226	7	based	base	VERB
brj-23713	226	8	on	on	ADP
brj-23713	226	9	cellulose	cellulose	NOUN
brj-23713	226	10	,	,	PUNCT
brj-23713	226	11	hemicellulose	hemicellulose	NOUN
brj-23713	226	12	,	,	PUNCT
brj-23713	226	13	and	and	CCONJ
brj-23713	226	14	lignin	lignin	NOUN
brj-23713	226	15	:	:	PUNCT
brj-23713	226	16	evolution	evolution	NOUN
brj-23713	226	17	of	of	ADP
brj-23713	226	18	volatiles	volatile	NOUN
brj-23713	226	19	and	and	CCONJ
brj-23713	226	20	kinetics	kinetic	NOUN
brj-23713	226	21	,	,	PUNCT
brj-23713	226	22	elucidation	elucidation	NOUN
brj-23713	226	23	of	of	ADP
brj-23713	226	24	reaction	reaction	NOUN
brj-23713	226	25	pathways	pathway	NOUN
brj-23713	226	26	,	,	PUNCT
brj-23713	226	27	and	and	CCONJ
brj-23713	226	28	characterization	characterization	NOUN
brj-23713	226	29	of	of	ADP
brj-23713	226	30	gas	gas	NOUN
brj-23713	226	31	,	,	PUNCT
brj-23713	226	32	biochar	biochar	NOUN
brj-23713	226	33	and	and	CCONJ
brj-23713	226	34	bio	bio	NOUN
brj-23713	226	35	-	-	NOUN
brj-23713	226	36	oil	oil	NOUN
brj-23713	226	37	,	,	PUNCT
brj-23713	226	38	”	"	PUNCT
brj-23713	226	39	combustion	combustion	NOUN
brj-23713	226	40	and	and	CCONJ
brj-23713	226	41	flame	flame	NOUN
brj-23713	226	42	242	242	NUM
brj-23713	226	43	,	,	PUNCT
brj-23713	226	44	article	article	NOUN
brj-23713	226	45	112142	112142	NUM
brj-23713	226	46	.	.	PUNCT
brj-23713	227	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	227	2	/	/	SYM
brj-23713	227	3	j.combustflame.2022.112142	j.combustflame.2022.112142	PROPN
brj-23713	227	4	chen	chen	PROPN
brj-23713	227	5	,	,	PUNCT
brj-23713	227	6	t.	t.	PROPN
brj-23713	227	7	,	,	PUNCT
brj-23713	227	8	and	and	CCONJ
brj-23713	227	9	guestrin	guestrin	NOUN
brj-23713	227	10	,	,	PUNCT
brj-23713	227	11	c.	c.	PROPN
brj-23713	227	12	(	(	PUNCT
brj-23713	227	13	2016	2016	NUM
brj-23713	227	14	)	)	PUNCT
brj-23713	227	15	.	.	PUNCT
brj-23713	228	1	“	"	PUNCT
brj-23713	228	2	xgboost	xgboost	ADV
brj-23713	228	3	:	:	PUNCT
brj-23713	228	4	a	a	DET
brj-23713	228	5	scalable	scalable	ADJ
brj-23713	228	6	tree	tree	NOUN
brj-23713	228	7	boosting	boost	VERB
brj-23713	228	8	,	,	PUNCT
brj-23713	228	9	”	"	PUNCT
brj-23713	228	10	in	in	ADP
brj-23713	228	11	:	:	PUNCT
brj-23713	228	12	proceedings	proceeding	NOUN
brj-23713	228	13	of	of	ADP
brj-23713	228	14	the	the	DET
brj-23713	228	15	22nd	22nd	PROPN
brj-23713	228	16	acm	acm	PROPN
brj-23713	228	17	sigkdd	sigkdd	PROPN
brj-23713	228	18	international	international	ADJ
brj-23713	228	19	conference	conference	NOUN
brj-23713	228	20	on	on	ADP
brj-23713	228	21	knowledge	knowledge	NOUN
brj-23713	228	22	discovery	discovery	PROPN
brj-23713	228	23	and	and	CCONJ
brj-23713	228	24	data	datum	NOUN
brj-23713	228	25	mining	mining	NOUN
brj-23713	228	26	,	,	PUNCT
brj-23713	228	27	785	785	NUM
brj-23713	228	28	-	-	SYM
brj-23713	228	29	794	794	NUM
brj-23713	228	30	.	.	PUNCT
brj-23713	229	1	cruz	cruz	PROPN
brj-23713	229	2	,	,	PUNCT
brj-23713	229	3	i.	i.	PROPN
brj-23713	229	4	a.	a.	PROPN
brj-23713	229	5	,	,	PUNCT
brj-23713	229	6	chuenchart	chuenchart	PROPN
brj-23713	229	7	,	,	PUNCT
brj-23713	229	8	w.	w.	NOUN
brj-23713	229	9	,	,	PUNCT
brj-23713	229	10	long	long	ADV
brj-23713	229	11	,	,	PUNCT
brj-23713	229	12	f.	f.	PROPN
brj-23713	229	13	,	,	PUNCT
brj-23713	229	14	surendra	surendra	PROPN
brj-23713	229	15	,	,	PUNCT
brj-23713	229	16	k.	k.	PROPN
brj-23713	229	17	,	,	PUNCT
brj-23713	229	18	andrade	andrade	PROPN
brj-23713	229	19	,	,	PUNCT
brj-23713	229	20	l.	l.	PROPN
brj-23713	229	21	r.	r.	PROPN
brj-23713	229	22	s.	s.	PROPN
brj-23713	229	23	,	,	PUNCT
brj-23713	229	24	bilal	bilal	PROPN
brj-23713	229	25	,	,	PUNCT
brj-23713	229	26	m.	m.	NOUN
brj-23713	229	27	,	,	PUNCT
brj-23713	229	28	liu	liu	PROPN
brj-23713	229	29	,	,	PUNCT
brj-23713	229	30	h.	h.	PROPN
brj-23713	229	31	,	,	PUNCT
brj-23713	229	32	figueiredo	figueiredo	PROPN
brj-23713	229	33	,	,	PUNCT
brj-23713	229	34	r.	r.	PROPN
brj-23713	229	35	t.	t.	PROPN
brj-23713	229	36	,	,	PUNCT
brj-23713	229	37	khanal	khanal	NOUN
brj-23713	229	38	,	,	PUNCT
brj-23713	229	39	s.	s.	PROPN
brj-23713	229	40	k.	k.	PROPN
brj-23713	229	41	,	,	PUNCT
brj-23713	229	42	and	and	CCONJ
brj-23713	229	43	ferreira	ferreira	PROPN
brj-23713	229	44	,	,	PUNCT
brj-23713	229	45	l.	l.	PROPN
brj-23713	229	46	f.	f.	PROPN
brj-23713	229	47	r.	r.	PROPN
brj-23713	229	48	(	(	PUNCT
brj-23713	229	49	2022	2022	NUM
brj-23713	229	50	)	)	PUNCT
brj-23713	229	51	.	.	PUNCT
brj-23713	230	1	“	"	PUNCT
brj-23713	230	2	application	application	NOUN
brj-23713	230	3	of	of	ADP
brj-23713	230	4	machine	machine	NOUN
brj-23713	230	5	learning	learn	VERB
brj-23713	230	6	in	in	ADP
brj-23713	230	7	anaerobic	anaerobic	ADJ
brj-23713	230	8	digestion	digestion	NOUN
brj-23713	230	9	:	:	PUNCT
brj-23713	230	10	perspectives	perspective	NOUN
brj-23713	230	11	and	and	CCONJ
brj-23713	230	12	challenges	challenge	NOUN
brj-23713	230	13	,	,	PUNCT
brj-23713	230	14	”	"	PUNCT
brj-23713	230	15	bioresource	bioresource	ADP
brj-23713	230	16	technology	technology	NOUN
brj-23713	230	17	345	345	NUM
brj-23713	230	18	,	,	PUNCT
brj-23713	230	19	article	article	NOUN
brj-23713	230	20	126433	126433	NUM
brj-23713	230	21	.	.	PUNCT
brj-23713	231	1	doi	doi	NOUN
brj-23713	231	2	:	:	PUNCT
brj-23713	231	3	10.1016	10.1016	NUM
brj-23713	231	4	/	/	SYM
brj-23713	231	5	j.biortech.2021.126433	j.biortech.2021.126433	PROPN
brj-23713	231	6	deng	deng	PROPN
brj-23713	231	7	,	,	PUNCT
brj-23713	231	8	x.	x.	PROPN
brj-23713	231	9	,	,	PUNCT
brj-23713	231	10	teng	teng	PROPN
brj-23713	231	11	,	,	PUNCT
brj-23713	231	12	f.	f.	PROPN
brj-23713	231	13	,	,	PUNCT
brj-23713	231	14	chen	chen	PROPN
brj-23713	231	15	,	,	PUNCT
brj-23713	231	16	m.	m.	NOUN
brj-23713	231	17	,	,	PUNCT
brj-23713	231	18	du	du	PROPN
brj-23713	231	19	,	,	PUNCT
brj-23713	231	20	z.	z.	PROPN
brj-23713	231	21	,	,	PUNCT
brj-23713	231	22	wang	wang	PROPN
brj-23713	231	23	,	,	PUNCT
brj-23713	231	24	b.	b.	PROPN
brj-23713	231	25	,	,	PUNCT
brj-23713	231	26	li	li	PROPN
brj-23713	231	27	,	,	PUNCT
brj-23713	231	28	r.	r.	PROPN
brj-23713	231	29	,	,	PUNCT
brj-23713	231	30	and	and	CCONJ
brj-23713	231	31	wang	wang	PROPN
brj-23713	231	32	,	,	PUNCT
brj-23713	231	33	p.	p.	NOUN
brj-23713	231	34	(	(	PUNCT
brj-23713	231	35	2024	2024	NUM
brj-23713	231	36	)	)	PUNCT
brj-23713	231	37	.	.	PUNCT
brj-23713	232	1	“	"	PUNCT
brj-23713	232	2	exploring	explore	VERB
brj-23713	232	3	negative	negative	ADJ
brj-23713	232	4	emission	emission	NOUN
brj-23713	232	5	potential	potential	NOUN
brj-23713	232	6	of	of	ADP
brj-23713	232	7	biochar	biochar	NOUN
brj-23713	232	8	to	to	PART
brj-23713	232	9	achieve	achieve	VERB
brj-23713	232	10	carbon	carbon	NOUN
brj-23713	232	11	neutrality	neutrality	NOUN
brj-23713	232	12	goal	goal	NOUN
brj-23713	232	13	in	in	ADP
brj-23713	232	14	china	china	PROPN
brj-23713	232	15	,	,	PUNCT
brj-23713	232	16	”	"	PUNCT
brj-23713	232	17	nature	nature	NOUN
brj-23713	232	18	communications	communication	NOUN
brj-23713	232	19	15(1	15(1	NUM
brj-23713	232	20	)	)	PUNCT
brj-23713	232	21	,	,	PUNCT
brj-23713	232	22	article	article	NOUN
brj-23713	232	23	1085	1085	NUM
brj-23713	232	24	.	.	PUNCT
brj-23713	233	1	doi	doi	NOUN
brj-23713	233	2	:	:	PUNCT
brj-23713	233	3	10.1038	10.1038	NUM
brj-23713	233	4	/	/	SYM
brj-23713	233	5	s41467	s41467	NOUN
brj-23713	233	6	-	-	PUNCT
brj-23713	233	7	024	024	NUM
brj-23713	233	8	-	-	PUNCT
brj-23713	233	9	45314	45314	NUM
brj-23713	233	10	-	-	PUNCT
brj-23713	233	11	y	y	NOUN
brj-23713	233	12	hassan	hassan	PROPN
brj-23713	233	13	,	,	PUNCT
brj-23713	233	14	q.	q.	PROPN
brj-23713	233	15	,	,	PUNCT
brj-23713	233	16	viktor	viktor	NOUN
brj-23713	233	17	,	,	PUNCT
brj-23713	233	18	p.	p.	PROPN
brj-23713	233	19	,	,	PUNCT
brj-23713	233	20	j.	j.	PROPN
brj-23713	233	21	al	al	PROPN
brj-23713	233	22	-	-	PUNCT
brj-23713	233	23	musawi	musawi	PROPN
brj-23713	233	24	,	,	PUNCT
brj-23713	233	25	t.	t.	PROPN
brj-23713	233	26	,	,	PUNCT
brj-23713	233	27	mahmood	mahmood	PROPN
brj-23713	233	28	ali	ali	PROPN
brj-23713	233	29	,	,	PUNCT
brj-23713	233	30	b.	b.	PROPN
brj-23713	233	31	,	,	PUNCT
brj-23713	233	32	algburi	algburi	PROPN
brj-23713	233	33	,	,	PUNCT
brj-23713	233	34	s.	s.	PROPN
brj-23713	233	35	,	,	PUNCT
brj-23713	233	36	alzoubi	alzoubi	PROPN
brj-23713	233	37	,	,	PUNCT
brj-23713	233	38	h.	h.	PROPN
brj-23713	233	39	m.	m.	PROPN
brj-23713	233	40	,	,	PUNCT
brj-23713	233	41	khudhair	khudhair	PROPN
brj-23713	233	42	al	al	PROPN
brj-23713	233	43	-	-	PUNCT
brj-23713	233	44	jiboory	jiboory	PROPN
brj-23713	233	45	,	,	PUNCT
brj-23713	233	46	a.	a.	PROPN
brj-23713	233	47	,	,	PUNCT
brj-23713	233	48	zuhair	zuhair	PROPN
brj-23713	233	49	sameen	sameen	PROPN
brj-23713	233	50	,	,	PUNCT
brj-23713	233	51	a.	a.	PROPN
brj-23713	233	52	,	,	PUNCT
brj-23713	233	53	salman	salman	PROPN
brj-23713	233	54	,	,	PUNCT
brj-23713	233	55	h.	h.	PROPN
brj-23713	233	56	m.	m.	PROPN
brj-23713	233	57	,	,	PUNCT
brj-23713	233	58	and	and	CCONJ
brj-23713	233	59	jaszczur	jaszczur	PROPN
brj-23713	233	60	,	,	PUNCT
brj-23713	233	61	m.	m.	NOUN
brj-23713	233	62	(	(	PUNCT
brj-23713	233	63	2024	2024	NUM
brj-23713	233	64	)	)	PUNCT
brj-23713	233	65	.	.	PUNCT
brj-23713	234	1	“	"	PUNCT
brj-23713	234	2	the	the	DET
brj-23713	234	3	renewable	renewable	ADJ
brj-23713	234	4	energy	energy	NOUN
brj-23713	234	5	role	role	NOUN
brj-23713	234	6	in	in	ADP
brj-23713	234	7	the	the	DET
brj-23713	234	8	global	global	ADJ
brj-23713	234	9	energy	energy	NOUN
brj-23713	234	10	transformations	transformation	NOUN
brj-23713	234	11	,	,	PUNCT
brj-23713	234	12	”	"	PUNCT
brj-23713	234	13	renewable	renewable	ADJ
brj-23713	234	14	energy	energy	NOUN
brj-23713	234	15	focus	focus	NOUN
brj-23713	234	16	48	48	NUM
brj-23713	234	17	,	,	PUNCT
brj-23713	234	18	article	article	NOUN
brj-23713	234	19	100545	100545	NUM
brj-23713	234	20	.	.	PUNCT
brj-23713	235	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	235	2	/	/	SYM
brj-23713	235	3	j.ref.2024.100545	j.ref.2024.100545	PROPN
brj-23713	235	4	leng	leng	PROPN
brj-23713	235	5	,	,	PUNCT
brj-23713	235	6	l.	l.	PROPN
brj-23713	235	7	,	,	PUNCT
brj-23713	235	8	and	and	CCONJ
brj-23713	235	9	huang	huang	PROPN
brj-23713	235	10	,	,	PUNCT
brj-23713	235	11	h.	h.	PROPN
brj-23713	235	12	(	(	PUNCT
brj-23713	235	13	2018	2018	NUM
brj-23713	235	14	)	)	PUNCT
brj-23713	235	15	.	.	PUNCT
brj-23713	236	1	“	"	PUNCT
brj-23713	236	2	an	an	DET
brj-23713	236	3	overview	overview	NOUN
brj-23713	236	4	of	of	ADP
brj-23713	236	5	the	the	DET
brj-23713	236	6	effect	effect	NOUN
brj-23713	236	7	of	of	ADP
brj-23713	236	8	pyrolysis	pyrolysis	NOUN
brj-23713	236	9	process	process	NOUN
brj-23713	236	10	parameters	parameter	NOUN
brj-23713	236	11	on	on	ADP
brj-23713	236	12	biochar	biochar	NOUN
brj-23713	236	13	stability	stability	NOUN
brj-23713	236	14	,	,	PUNCT
brj-23713	236	15	”	"	PUNCT
brj-23713	236	16	bioresource	bioresource	ADJ
brj-23713	236	17	technology	technology	NOUN
brj-23713	236	18	270	270	NUM
brj-23713	236	19	,	,	PUNCT
brj-23713	236	20	627	627	NUM
brj-23713	236	21	-	-	SYM
brj-23713	236	22	642	642	NUM
brj-23713	236	23	.	.	PUNCT
brj-23713	237	1	https://doi.org/10.1016/j.rser.2020.110691	https://doi.org/10.1016/j.rser.2020.110691	PROPN
brj-23713	237	2	https://doi.org/10.1016/j.combustflame.2022.112142	https://doi.org/10.1016/j.combustflame.2022.112142	PROPN
brj-23713	237	3	http://dx.doi.org/10.1038/s41467-024-45314-y	http://dx.doi.org/10.1038/s41467-024-45314-y	PROPN
brj-23713	237	4	https://doi.org/10.1016/j.ref.2024.100545	https://doi.org/10.1016/j.ref.2024.100545	PROPN
brj-23713	237	5	peer	peer	NOUN
brj-23713	237	6	-	-	PUNCT
brj-23713	237	7	reviewed	review	VERB
brj-23713	237	8	article	article	NOUN
brj-23713	237	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	237	10	xu	xu	PROPN
brj-23713	237	11	et	et	PROPN
brj-23713	237	12	al	al	PROPN
brj-23713	237	13	.	.	PROPN
brj-23713	238	1	(	(	PUNCT
brj-23713	238	2	2024	2024	NUM
brj-23713	238	3	)	)	PUNCT
brj-23713	238	4	.	.	PUNCT
brj-23713	239	1	“	"	PUNCT
brj-23713	239	2	machine	machine	NOUN
brj-23713	239	3	learning	learning	NOUN
brj-23713	239	4	for	for	ADP
brj-23713	239	5	biochar	biochar	NOUN
brj-23713	239	6	,	,	PUNCT
brj-23713	239	7	”	"	PUNCT
brj-23713	239	8	bioresources	bioresource	NOUN
brj-23713	239	9	19(3	19(3	NUM
brj-23713	239	10	)	)	PUNCT
brj-23713	239	11	,	,	PUNCT
brj-23713	239	12	6545	6545	NUM
brj-23713	239	13	-	-	SYM
brj-23713	239	14	6558	6558	NUM
brj-23713	239	15	.	.	PUNCT
brj-23713	240	1	6557	6557	NUM
brj-23713	240	2	doi:10.1016	doi:10.1016	PROPN
brj-23713	240	3	/	/	SYM
brj-23713	240	4	j.biortech.2018.09.030	j.biortech.2018.09.030	PROPN
brj-23713	240	5	li	li	PROPN
brj-23713	240	6	,	,	PUNCT
brj-23713	240	7	y.	y.	PROPN
brj-23713	240	8	,	,	PUNCT
brj-23713	240	9	gupta	gupta	PROPN
brj-23713	240	10	,	,	PUNCT
brj-23713	240	11	r.	r.	PROPN
brj-23713	240	12	,	,	PUNCT
brj-23713	240	13	zhang	zhang	PROPN
brj-23713	240	14	,	,	PUNCT
brj-23713	240	15	q.	q.	PROPN
brj-23713	240	16	,	,	PUNCT
brj-23713	240	17	and	and	CCONJ
brj-23713	240	18	you	you	PRON
brj-23713	240	19	,	,	PUNCT
brj-23713	240	20	s.	s.	PROPN
brj-23713	240	21	(	(	PUNCT
brj-23713	240	22	2023	2023	NUM
brj-23713	240	23	)	)	PUNCT
brj-23713	240	24	.	.	PUNCT
brj-23713	241	1	“	"	PUNCT
brj-23713	241	2	review	review	NOUN
brj-23713	241	3	of	of	ADP
brj-23713	241	4	biochar	biochar	NOUN
brj-23713	241	5	production	production	NOUN
brj-23713	241	6	via	via	ADP
brj-23713	241	7	crop	crop	NOUN
brj-23713	241	8	residue	residue	NOUN
brj-23713	241	9	pyrolysis	pyrolysis	NOUN
brj-23713	241	10	:	:	PUNCT
brj-23713	241	11	development	development	NOUN
brj-23713	241	12	and	and	CCONJ
brj-23713	241	13	perspectives	perspective	NOUN
brj-23713	241	14	,	,	PUNCT
brj-23713	241	15	”	"	PUNCT
brj-23713	241	16	bioresource	bioresource	ADP
brj-23713	241	17	technology	technology	NOUN
brj-23713	241	18	369	369	NUM
brj-23713	241	19	,	,	PUNCT
brj-23713	241	20	article	article	NOUN
brj-23713	241	21	128423	128423	NUM
brj-23713	241	22	.	.	PUNCT
brj-23713	242	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	242	2	/	/	SYM
brj-23713	242	3	j.biortech.2022.128423	j.biortech.2022.128423	PROPN
brj-23713	242	4	liu	liu	PROPN
brj-23713	242	5	,	,	PUNCT
brj-23713	242	6	j.	j.	PROPN
brj-23713	242	7	,	,	PUNCT
brj-23713	242	8	chen	chen	PROPN
brj-23713	242	9	,	,	PUNCT
brj-23713	242	10	x.	x.	PROPN
brj-23713	242	11	,	,	PUNCT
brj-23713	242	12	chen	chen	PROPN
brj-23713	242	13	,	,	PUNCT
brj-23713	242	14	w.	w.	PROPN
brj-23713	242	15	,	,	PUNCT
brj-23713	242	16	xia	xia	PROPN
brj-23713	242	17	,	,	PUNCT
brj-23713	242	18	m.	m.	NOUN
brj-23713	242	19	,	,	PUNCT
brj-23713	242	20	chen	chen	PROPN
brj-23713	242	21	,	,	PUNCT
brj-23713	242	22	y.	y.	PROPN
brj-23713	242	23	,	,	PUNCT
brj-23713	242	24	chen	chen	PROPN
brj-23713	242	25	,	,	PUNCT
brj-23713	242	26	h.	h.	PROPN
brj-23713	242	27	,	,	PUNCT
brj-23713	242	28	zeng	zeng	PROPN
brj-23713	242	29	,	,	PUNCT
brj-23713	242	30	k.	k.	PROPN
brj-23713	242	31	,	,	PUNCT
brj-23713	242	32	and	and	CCONJ
brj-23713	242	33	yang	yang	PROPN
brj-23713	242	34	,	,	PUNCT
brj-23713	242	35	h.	h.	PROPN
brj-23713	242	36	(	(	PUNCT
brj-23713	242	37	2023	2023	NUM
brj-23713	242	38	)	)	PUNCT
brj-23713	242	39	.	.	PUNCT
brj-23713	243	1	“	"	PUNCT
brj-23713	243	2	biomass	biomass	NOUN
brj-23713	243	3	pyrolysis	pyrolysis	NOUN
brj-23713	243	4	mechanism	mechanism	NOUN
brj-23713	243	5	for	for	ADP
brj-23713	243	6	carbon	carbon	NOUN
brj-23713	243	7	-	-	PUNCT
brj-23713	243	8	based	base	VERB
brj-23713	243	9	high	high	ADJ
brj-23713	243	10	-	-	PUNCT
brj-23713	243	11	value	value	NOUN
brj-23713	243	12	products	product	NOUN
brj-23713	243	13	,	,	PUNCT
brj-23713	243	14	”	"	PUNCT
brj-23713	243	15	proceedings	proceeding	NOUN
brj-23713	243	16	of	of	ADP
brj-23713	243	17	the	the	DET
brj-23713	243	18	combustion	combustion	NOUN
brj-23713	243	19	institute	institute	NOUN
brj-23713	243	20	39(3	39(3	PROPN
brj-23713	243	21	)	)	PUNCT
brj-23713	243	22	,	,	PUNCT
brj-23713	243	23	3157	3157	NUM
brj-23713	243	24	-	-	SYM
brj-23713	243	25	3181	3181	NUM
brj-23713	243	26	.	.	PUNCT
brj-23713	244	1	doi	doi	NOUN
brj-23713	244	2	:	:	PUNCT
brj-23713	244	3	10.1016	10.1016	NUM
brj-23713	244	4	/	/	SYM
brj-23713	244	5	j.proci.2022.09.063	j.proci.2022.09.063	PROPN
brj-23713	244	6	lundberg	lundberg	PROPN
brj-23713	244	7	,	,	PUNCT
brj-23713	244	8	s.	s.	PROPN
brj-23713	244	9	m.	m.	PROPN
brj-23713	244	10	,	,	PUNCT
brj-23713	244	11	and	and	CCONJ
brj-23713	244	12	lee	lee	PROPN
brj-23713	244	13	,	,	PUNCT
brj-23713	244	14	s.-i	s.-i	PROPN
brj-23713	244	15	.	.	PUNCT
brj-23713	245	1	(	(	PUNCT
brj-23713	245	2	2017	2017	NUM
brj-23713	245	3	)	)	PUNCT
brj-23713	245	4	.	.	PUNCT
brj-23713	246	1	“	"	PUNCT
brj-23713	246	2	a	a	DET
brj-23713	246	3	unified	unified	ADJ
brj-23713	246	4	approach	approach	NOUN
brj-23713	246	5	to	to	ADP
brj-23713	246	6	interpreting	interpret	VERB
brj-23713	246	7	model	model	NOUN
brj-23713	246	8	predictions	prediction	NOUN
brj-23713	246	9	,	,	PUNCT
brj-23713	246	10	”	"	PUNCT
brj-23713	246	11	international	international	ADJ
brj-23713	246	12	conference	conference	NOUN
brj-23713	246	13	on	on	ADP
brj-23713	246	14	neural	neural	ADJ
brj-23713	246	15	information	information	NOUN
brj-23713	246	16	processing	processing	NOUN
brj-23713	246	17	systems	system	NOUN
brj-23713	246	18	30	30	NUM
brj-23713	246	19	,	,	PUNCT
brj-23713	246	20	4768	4768	NUM
brj-23713	246	21	-	-	SYM
brj-23713	246	22	4777	4777	NUM
brj-23713	246	23	.	.	PUNCT
brj-23713	247	1	pedregosa	pedregosa	PROPN
brj-23713	247	2	,	,	PUNCT
brj-23713	247	3	f.	f.	PROPN
brj-23713	247	4	,	,	PUNCT
brj-23713	247	5	varoquaux	varoquaux	PROPN
brj-23713	247	6	,	,	PUNCT
brj-23713	247	7	g.	g.	PROPN
brj-23713	247	8	,	,	PUNCT
brj-23713	247	9	gramfort	gramfort	NOUN
brj-23713	247	10	,	,	PUNCT
brj-23713	247	11	a.	a.	PROPN
brj-23713	247	12	,	,	PUNCT
brj-23713	247	13	michel	michel	PROPN
brj-23713	247	14	,	,	PUNCT
brj-23713	247	15	v.	v.	PROPN
brj-23713	247	16	,	,	PUNCT
brj-23713	247	17	thirion	thirion	NOUN
brj-23713	247	18	,	,	PUNCT
brj-23713	247	19	b.	b.	PROPN
brj-23713	247	20	,	,	PUNCT
brj-23713	247	21	grisel	grisel	PROPN
brj-23713	247	22	,	,	PUNCT
brj-23713	247	23	o.	o.	PROPN
brj-23713	247	24	,	,	PUNCT
brj-23713	247	25	blondel	blondel	NOUN
brj-23713	247	26	,	,	PUNCT
brj-23713	247	27	m.	m.	NOUN
brj-23713	247	28	,	,	PUNCT
brj-23713	247	29	prettenhofer	prettenhofer	NOUN
brj-23713	247	30	,	,	PUNCT
brj-23713	247	31	p.	p.	PROPN
brj-23713	247	32	,	,	PUNCT
brj-23713	247	33	weiss	weiss	PROPN
brj-23713	247	34	,	,	PUNCT
brj-23713	247	35	r.	r.	PROPN
brj-23713	247	36	,	,	PUNCT
brj-23713	247	37	dubourg	dubourg	NOUN
brj-23713	247	38	,	,	PUNCT
brj-23713	247	39	v.	v.	PROPN
brj-23713	247	40	,	,	PUNCT
brj-23713	247	41	et	et	PROPN
brj-23713	247	42	al	al	PROPN
brj-23713	247	43	.	.	PUNCT
brj-23713	247	44	(	(	PUNCT
brj-23713	247	45	2011	2011	NUM
brj-23713	247	46	)	)	PUNCT
brj-23713	247	47	.	.	PUNCT
brj-23713	248	1	scikit	scikit	NOUN
brj-23713	248	2	-	-	PUNCT
brj-23713	248	3	learn	learn	VERB
brj-23713	248	4	:	:	PUNCT
brj-23713	248	5	machine	machine	NOUN
brj-23713	248	6	learning	learning	NOUN
brj-23713	248	7	in	in	ADP
brj-23713	248	8	python	python	PROPN
brj-23713	248	9	.	.	PUNCT
brj-23713	249	1	j.	j.	PROPN
brj-23713	249	2	mach	mach	PROPN
brj-23713	249	3	.	.	PUNCT
brj-23713	250	1	learn	learn	VERB
brj-23713	250	2	.	.	PUNCT
brj-23713	251	1	res	re	NOUN
brj-23713	251	2	.	.	PROPN
brj-23713	252	1	12	12	NUM
brj-23713	252	2	,	,	PUNCT
brj-23713	252	3	2825	2825	NUM
brj-23713	252	4	-	-	SYM
brj-23713	252	5	2830	2830	NUM
brj-23713	252	6	.	.	PUNCT
brj-23713	253	1	rengasamy	rengasamy	NOUN
brj-23713	253	2	,	,	PUNCT
brj-23713	253	3	d.	d.	PROPN
brj-23713	253	4	,	,	PUNCT
brj-23713	253	5	mase	mase	PROPN
brj-23713	253	6	,	,	PUNCT
brj-23713	253	7	j.	j.	PROPN
brj-23713	253	8	m.	m.	PROPN
brj-23713	253	9	,	,	PUNCT
brj-23713	253	10	kumar	kumar	PROPN
brj-23713	253	11	,	,	PUNCT
brj-23713	253	12	a.	a.	PROPN
brj-23713	253	13	,	,	PUNCT
brj-23713	253	14	rothwell	rothwell	PROPN
brj-23713	253	15	,	,	PUNCT
brj-23713	253	16	b.	b.	PROPN
brj-23713	253	17	,	,	PUNCT
brj-23713	253	18	torres	torre	NOUN
brj-23713	253	19	,	,	PUNCT
brj-23713	253	20	m.	m.	NOUN
brj-23713	253	21	t.	t.	PROPN
brj-23713	253	22	,	,	PUNCT
brj-23713	253	23	alexander	alexander	PROPN
brj-23713	253	24	,	,	PUNCT
brj-23713	253	25	m.	m.	PROPN
brj-23713	253	26	r.	r.	PROPN
brj-23713	253	27	,	,	PUNCT
brj-23713	253	28	winkler	winkler	PROPN
brj-23713	253	29	,	,	PUNCT
brj-23713	253	30	d.	d.	PROPN
brj-23713	253	31	a.	a.	PROPN
brj-23713	253	32	,	,	PUNCT
brj-23713	253	33	and	and	CCONJ
brj-23713	253	34	figueredo	figueredo	PROPN
brj-23713	253	35	,	,	PUNCT
brj-23713	253	36	g.	g.	PROPN
brj-23713	253	37	p.	p.	PROPN
brj-23713	253	38	(	(	PUNCT
brj-23713	253	39	2022	2022	NUM
brj-23713	253	40	)	)	PUNCT
brj-23713	253	41	.	.	PUNCT
brj-23713	254	1	“	"	PUNCT
brj-23713	254	2	feature	feature	VERB
brj-23713	254	3	importance	importance	NOUN
brj-23713	254	4	in	in	ADP
brj-23713	254	5	machine	machine	NOUN
brj-23713	254	6	learning	learning	NOUN
brj-23713	254	7	models	model	NOUN
brj-23713	254	8	:	:	PUNCT
brj-23713	254	9	a	a	DET
brj-23713	254	10	fuzzy	fuzzy	ADJ
brj-23713	254	11	information	information	NOUN
brj-23713	254	12	fusion	fusion	NOUN
brj-23713	254	13	approach	approach	NOUN
brj-23713	254	14	,	,	PUNCT
brj-23713	254	15	”	"	PUNCT
brj-23713	254	16	neurocomputing	neurocompute	VERB
brj-23713	254	17	511	511	NUM
brj-23713	254	18	,	,	PUNCT
brj-23713	254	19	163	163	NUM
brj-23713	254	20	-	-	SYM
brj-23713	254	21	174	174	NUM
brj-23713	254	22	.	.	PUNCT
brj-23713	255	1	doi	doi	NOUN
brj-23713	255	2	:	:	PUNCT
brj-23713	255	3	10.1016	10.1016	NUM
brj-23713	255	4	/	/	SYM
brj-23713	255	5	j.neucom.2022.09.053	j.neucom.2022.09.053	PROPN
brj-23713	255	6	saarela	saarela	PROPN
brj-23713	255	7	,	,	PUNCT
brj-23713	255	8	m.	m.	NOUN
brj-23713	255	9	,	,	PUNCT
brj-23713	255	10	and	and	CCONJ
brj-23713	255	11	jauhiainen	jauhiainen	PROPN
brj-23713	255	12	,	,	PUNCT
brj-23713	255	13	s.	s.	PROPN
brj-23713	255	14	(	(	PUNCT
brj-23713	255	15	2021	2021	NUM
brj-23713	255	16	)	)	PUNCT
brj-23713	255	17	.	.	PUNCT
brj-23713	256	1	“	"	PUNCT
brj-23713	256	2	comparison	comparison	NOUN
brj-23713	256	3	of	of	ADP
brj-23713	256	4	feature	feature	NOUN
brj-23713	256	5	importance	importance	NOUN
brj-23713	256	6	measures	measure	NOUN
brj-23713	256	7	as	as	ADP
brj-23713	256	8	explanations	explanation	NOUN
brj-23713	256	9	for	for	ADP
brj-23713	256	10	classification	classification	NOUN
brj-23713	256	11	models	model	NOUN
brj-23713	256	12	,	,	PUNCT
brj-23713	256	13	”	"	PUNCT
brj-23713	256	14	sn	sn	PROPN
brj-23713	256	15	applied	apply	VERB
brj-23713	256	16	sciences	science	NOUN
brj-23713	256	17	3(2	3(2	NUM
brj-23713	256	18	)	)	PUNCT
brj-23713	256	19	,	,	PUNCT
brj-23713	256	20	272	272	NUM
brj-23713	256	21	.	.	PUNCT
brj-23713	257	1	safarian	safarian	PROPN
brj-23713	257	2	,	,	PUNCT
brj-23713	257	3	s.	s.	PROPN
brj-23713	257	4	(	(	PUNCT
brj-23713	257	5	2023	2023	NUM
brj-23713	257	6	)	)	PUNCT
brj-23713	257	7	.	.	PUNCT
brj-23713	258	1	“	"	PUNCT
brj-23713	258	2	performance	performance	NOUN
brj-23713	258	3	analysis	analysis	NOUN
brj-23713	258	4	of	of	ADP
brj-23713	258	5	sustainable	sustainable	ADJ
brj-23713	258	6	technologies	technology	NOUN
brj-23713	258	7	for	for	ADP
brj-23713	258	8	biochar	biochar	NOUN
brj-23713	258	9	production	production	NOUN
brj-23713	258	10	,	,	PUNCT
brj-23713	258	11	”	"	PUNCT
brj-23713	258	12	a	a	DET
brj-23713	258	13	comprehensive	comprehensive	ADJ
brj-23713	258	14	review	review	NOUN
brj-23713	258	15	.	.	PUNCT
brj-23713	259	1	energy	energy	NOUN
brj-23713	259	2	reports	report	NOUN
brj-23713	259	3	9	9	NUM
brj-23713	259	4	,	,	PUNCT
brj-23713	259	5	4574	4574	NUM
brj-23713	259	6	-	-	SYM
brj-23713	259	7	4593	4593	NUM
brj-23713	259	8	.	.	PUNCT
brj-23713	260	1	seow	seow	PROPN
brj-23713	260	2	,	,	PUNCT
brj-23713	260	3	y.	y.	PROPN
brj-23713	260	4	x.	x.	PROPN
brj-23713	260	5	,	,	PUNCT
brj-23713	260	6	tan	tan	PROPN
brj-23713	260	7	,	,	PUNCT
brj-23713	260	8	y.	y.	PROPN
brj-23713	260	9	h.	h.	PROPN
brj-23713	260	10	,	,	PUNCT
brj-23713	260	11	mubarak	mubarak	PROPN
brj-23713	260	12	,	,	PUNCT
brj-23713	260	13	n.	n.	PROPN
brj-23713	260	14	m.	m.	NOUN
brj-23713	260	15	,	,	PUNCT
brj-23713	260	16	kansedo	kansedo	PROPN
brj-23713	260	17	,	,	PUNCT
brj-23713	260	18	j.	j.	PROPN
brj-23713	260	19	,	,	PUNCT
brj-23713	260	20	khalid	khalid	PROPN
brj-23713	260	21	,	,	PUNCT
brj-23713	260	22	m.	m.	NOUN
brj-23713	260	23	,	,	PUNCT
brj-23713	260	24	ibrahim	ibrahim	PROPN
brj-23713	260	25	,	,	PUNCT
brj-23713	260	26	m.	m.	PROPN
brj-23713	260	27	l.	l.	PROPN
brj-23713	260	28	,	,	PUNCT
brj-23713	260	29	and	and	CCONJ
brj-23713	260	30	ghasemi	ghasemi	PROPN
brj-23713	260	31	,	,	PUNCT
brj-23713	260	32	m.	m.	NOUN
brj-23713	260	33	(	(	PUNCT
brj-23713	260	34	2022	2022	NUM
brj-23713	260	35	)	)	PUNCT
brj-23713	260	36	.	.	PUNCT
brj-23713	261	1	“	"	PUNCT
brj-23713	261	2	a	a	DET
brj-23713	261	3	review	review	NOUN
brj-23713	261	4	on	on	ADP
brj-23713	261	5	biochar	biochar	NOUN
brj-23713	261	6	production	production	NOUN
brj-23713	261	7	from	from	ADP
brj-23713	261	8	different	different	ADJ
brj-23713	261	9	biomass	biomass	NOUN
brj-23713	261	10	wastes	waste	NOUN
brj-23713	261	11	by	by	ADP
brj-23713	261	12	recent	recent	ADJ
brj-23713	261	13	carbonization	carbonization	NOUN
brj-23713	261	14	technologies	technology	NOUN
brj-23713	261	15	and	and	CCONJ
brj-23713	261	16	its	its	PRON
brj-23713	261	17	sustainable	sustainable	ADJ
brj-23713	261	18	applications	application	NOUN
brj-23713	261	19	,	,	PUNCT
brj-23713	261	20	”	"	PUNCT
brj-23713	261	21	journal	journal	NOUN
brj-23713	261	22	of	of	ADP
brj-23713	261	23	environmental	environmental	ADJ
brj-23713	261	24	chemical	chemical	NOUN
brj-23713	261	25	engineering	engineering	NOUN
brj-23713	261	26	10(1	10(1	NUM
brj-23713	261	27	)	)	PUNCT
brj-23713	261	28	,	,	PUNCT
brj-23713	261	29	article	article	NOUN
brj-23713	261	30	107017	107017	NUM
brj-23713	261	31	.	.	PUNCT
brj-23713	262	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	262	2	/	/	SYM
brj-23713	262	3	j.jece.2021.107017	j.jece.2021.107017	PROPN
brj-23713	262	4	souaissi	souaissi	PROPN
brj-23713	262	5	,	,	PUNCT
brj-23713	262	6	z.	z.	PROPN
brj-23713	262	7	,	,	PUNCT
brj-23713	262	8	ouarda	ouarda	PROPN
brj-23713	262	9	,	,	PUNCT
brj-23713	262	10	t.	t.	PROPN
brj-23713	262	11	b.	b.	PROPN
brj-23713	262	12	m.	m.	PROPN
brj-23713	262	13	j.	j.	PROPN
brj-23713	262	14	,	,	PUNCT
brj-23713	262	15	and	and	CCONJ
brj-23713	262	16	st	st	PROPN
brj-23713	262	17	-	-	PUNCT
brj-23713	262	18	hilaire	hilaire	PROPN
brj-23713	262	19	,	,	PUNCT
brj-23713	262	20	a.	a.	NOUN
brj-23713	262	21	(	(	PUNCT
brj-23713	262	22	2023	2023	NUM
brj-23713	262	23	)	)	PUNCT
brj-23713	262	24	.	.	PUNCT
brj-23713	263	1	“	"	PUNCT
brj-23713	263	2	non	non	ADJ
brj-23713	263	3	-	-	ADJ
brj-23713	263	4	parametric	parametric	ADJ
brj-23713	263	5	,	,	PUNCT
brj-23713	263	6	semiparametric	semiparametric	NOUN
brj-23713	263	7	,	,	PUNCT
brj-23713	263	8	and	and	CCONJ
brj-23713	263	9	machine	machine	NOUN
brj-23713	263	10	learning	learning	NOUN
brj-23713	263	11	models	model	NOUN
brj-23713	263	12	for	for	ADP
brj-23713	263	13	river	river	NOUN
brj-23713	263	14	temperature	temperature	NOUN
brj-23713	263	15	frequency	frequency	NOUN
brj-23713	263	16	analysis	analysis	NOUN
brj-23713	263	17	at	at	ADP
brj-23713	263	18	ungauged	ungauge	VERB
brj-23713	263	19	basins	basin	NOUN
brj-23713	263	20	,	,	PUNCT
brj-23713	263	21	”	"	PUNCT
brj-23713	263	22	ecological	ecological	ADJ
brj-23713	263	23	informatics	informatic	NOUN
brj-23713	263	24	75	75	NUM
brj-23713	263	25	,	,	PUNCT
brj-23713	263	26	article	article	NOUN
brj-23713	263	27	102107	102107	NUM
brj-23713	263	28	.	.	PUNCT
brj-23713	264	1	su	su	PROPN
brj-23713	264	2	,	,	PUNCT
brj-23713	264	3	g.	g.	PROPN
brj-23713	264	4	,	,	PUNCT
brj-23713	264	5	and	and	CCONJ
brj-23713	264	6	jiang	jiang	PROPN
brj-23713	264	7	,	,	PUNCT
brj-23713	264	8	p.	p.	NOUN
brj-23713	264	9	(	(	PUNCT
brj-23713	264	10	2024	2024	NUM
brj-23713	264	11	)	)	PUNCT
brj-23713	264	12	.	.	PUNCT
brj-23713	265	1	“	"	PUNCT
brj-23713	265	2	machine	machine	NOUN
brj-23713	265	3	learning	learning	NOUN
brj-23713	265	4	models	model	NOUN
brj-23713	265	5	for	for	ADP
brj-23713	265	6	predicting	predict	VERB
brj-23713	265	7	biochar	biochar	NOUN
brj-23713	265	8	properties	property	NOUN
brj-23713	265	9	from	from	ADP
brj-23713	265	10	lignocellulosic	lignocellulosic	ADJ
brj-23713	265	11	biomass	biomass	NOUN
brj-23713	265	12	torrefaction	torrefaction	NOUN
brj-23713	265	13	,	,	PUNCT
brj-23713	265	14	”	"	PUNCT
brj-23713	265	15	bioresource	bioresource	ADP
brj-23713	265	16	technology	technology	NOUN
brj-23713	265	17	399	399	NUM
brj-23713	265	18	,	,	PUNCT
brj-23713	265	19	article	article	NOUN
brj-23713	265	20	130519	130519	NUM
brj-23713	265	21	.	.	PUNCT
brj-23713	266	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	266	2	/	/	SYM
brj-23713	266	3	j.biortech.2024.130519	j.biortech.2024.130519	PROPN
brj-23713	266	4	tomczyk	tomczyk	PROPN
brj-23713	266	5	,	,	PUNCT
brj-23713	266	6	a.	a.	NOUN
brj-23713	266	7	,	,	PUNCT
brj-23713	266	8	sokołowska	sokołowska	NOUN
brj-23713	266	9	,	,	PUNCT
brj-23713	266	10	z.	z.	PROPN
brj-23713	266	11	,	,	PUNCT
brj-23713	266	12	and	and	CCONJ
brj-23713	266	13	boguta	boguta	ADJ
brj-23713	266	14	,	,	PUNCT
brj-23713	266	15	p.	p.	NOUN
brj-23713	266	16	(	(	PUNCT
brj-23713	266	17	2020	2020	NUM
brj-23713	266	18	)	)	PUNCT
brj-23713	266	19	.	.	PUNCT
brj-23713	267	1	“	"	PUNCT
brj-23713	267	2	biochar	biochar	ADJ
brj-23713	267	3	physicochemical	physicochemical	ADJ
brj-23713	267	4	properties	property	NOUN
brj-23713	267	5	:	:	PUNCT
brj-23713	267	6	pyrolysis	pyrolysis	NOUN
brj-23713	267	7	temperature	temperature	NOUN
brj-23713	267	8	and	and	CCONJ
brj-23713	267	9	feedstock	feedstock	NOUN
brj-23713	267	10	kind	kind	ADJ
brj-23713	267	11	effects	effect	NOUN
brj-23713	267	12	,	,	PUNCT
brj-23713	267	13	”	"	PUNCT
brj-23713	267	14	reviews	review	NOUN
brj-23713	267	15	in	in	ADP
brj-23713	267	16	environmental	environmental	ADJ
brj-23713	267	17	science	science	NOUN
brj-23713	267	18	and	and	CCONJ
brj-23713	267	19	bio	bio	PROPN
brj-23713	267	20	/	/	SYM
brj-23713	267	21	technology	technology	NOUN
brj-23713	267	22	19(1	19(1	NUM
brj-23713	267	23	)	)	PUNCT
brj-23713	267	24	,	,	PUNCT
brj-23713	267	25	191	191	NUM
brj-23713	267	26	-	-	SYM
brj-23713	267	27	215	215	NUM
brj-23713	267	28	.	.	PUNCT
brj-23713	268	1	vuppaladadiyam	vuppaladadiyam	PROPN
brj-23713	268	2	,	,	PUNCT
brj-23713	268	3	a.	a.	PROPN
brj-23713	268	4	k.	k.	PROPN
brj-23713	268	5	,	,	PUNCT
brj-23713	268	6	varsha	varsha	PROPN
brj-23713	268	7	vuppaladadiyam	vuppaladadiyam	PROPN
brj-23713	268	8	,	,	PUNCT
brj-23713	268	9	s.	s.	PROPN
brj-23713	268	10	s.	s.	PROPN
brj-23713	268	11	,	,	PUNCT
brj-23713	268	12	sikarwar	sikarwar	PROPN
brj-23713	268	13	,	,	PUNCT
brj-23713	268	14	v.	v.	PROPN
brj-23713	268	15	s.	s.	PROPN
brj-23713	268	16	,	,	PUNCT
brj-23713	268	17	ahmad	ahmad	PROPN
brj-23713	268	18	,	,	PUNCT
brj-23713	268	19	e.	e.	PROPN
brj-23713	268	20	,	,	PUNCT
brj-23713	268	21	pant	pant	PROPN
brj-23713	268	22	,	,	PUNCT
brj-23713	268	23	k.	k.	PROPN
brj-23713	268	24	k.	k.	PROPN
brj-23713	268	25	,	,	PUNCT
brj-23713	268	26	pandey	pandey	PROPN
brj-23713	268	27	,	,	PUNCT
brj-23713	268	28	a.	a.	PROPN
brj-23713	268	29	,	,	PUNCT
brj-23713	268	30	bhattacharya	bhattacharya	PROPN
brj-23713	268	31	,	,	PUNCT
brj-23713	268	32	s.	s.	PROPN
brj-23713	268	33	,	,	PUNCT
brj-23713	268	34	sarmah	sarmah	PROPN
brj-23713	268	35	,	,	PUNCT
brj-23713	268	36	a.	a.	PROPN
brj-23713	268	37	,	,	PUNCT
brj-23713	268	38	and	and	CCONJ
brj-23713	268	39	leu	leu	PROPN
brj-23713	268	40	,	,	PUNCT
brj-23713	268	41	s.	s.	PROPN
brj-23713	268	42	y.	y.	PROPN
brj-23713	268	43	(	(	PUNCT
brj-23713	268	44	2023	2023	NUM
brj-23713	268	45	)	)	PUNCT
brj-23713	268	46	.	.	PUNCT
brj-23713	269	1	“	"	PUNCT
brj-23713	269	2	a	a	DET
brj-23713	269	3	critical	critical	ADJ
brj-23713	269	4	review	review	NOUN
brj-23713	269	5	on	on	ADP
brj-23713	269	6	biomass	biomass	NOUN
brj-23713	269	7	pyrolysis	pyrolysis	NOUN
brj-23713	269	8	:	:	PUNCT
brj-23713	269	9	reaction	reaction	NOUN
brj-23713	269	10	mechanisms	mechanism	NOUN
brj-23713	269	11	,	,	PUNCT
brj-23713	269	12	process	process	NOUN
brj-23713	269	13	modeling	modeling	NOUN
brj-23713	269	14	and	and	CCONJ
brj-23713	269	15	potential	potential	ADJ
brj-23713	269	16	challenges	challenge	NOUN
brj-23713	269	17	,	,	PUNCT
brj-23713	269	18	”	"	PUNCT
brj-23713	269	19	journal	journal	NOUN
brj-23713	269	20	of	of	ADP
brj-23713	269	21	the	the	DET
brj-23713	269	22	energy	energy	NOUN
brj-23713	269	23	institute	institute	NOUN
brj-23713	269	24	108	108	NUM
brj-23713	269	25	,	,	PUNCT
brj-23713	269	26	article	article	NOUN
brj-23713	269	27	101236	101236	NUM
brj-23713	269	28	.	.	PUNCT
brj-23713	270	1	doi	doi	NOUN
brj-23713	270	2	:	:	PUNCT
brj-23713	270	3	10.1016	10.1016	NUM
brj-23713	270	4	/	/	SYM
brj-23713	270	5	j.joei.2023.101236	j.joei.2023.101236	PROPN
brj-23713	270	6	vuppaladadiyam	vuppaladadiyam	PROPN
brj-23713	270	7	,	,	PUNCT
brj-23713	270	8	a.	a.	PROPN
brj-23713	270	9	k.	k.	PROPN
brj-23713	270	10	,	,	PUNCT
brj-23713	270	11	vuppaladadiyam	vuppaladadiyam	PROPN
brj-23713	270	12	,	,	PUNCT
brj-23713	270	13	s.	s.	PROPN
brj-23713	270	14	s.	s.	PROPN
brj-23713	270	15	v.	v.	PROPN
brj-23713	270	16	,	,	PUNCT
brj-23713	270	17	awasthi	awasthi	PROPN
brj-23713	270	18	,	,	PUNCT
brj-23713	270	19	a.	a.	NOUN
brj-23713	270	20	,	,	PUNCT
brj-23713	270	21	sahoo	sahoo	PROPN
brj-23713	270	22	,	,	PUNCT
brj-23713	270	23	a.	a.	PROPN
brj-23713	270	24	,	,	PUNCT
brj-23713	270	25	rehman	rehman	PROPN
brj-23713	270	26	,	,	PUNCT
brj-23713	270	27	s.	s.	PROPN
brj-23713	270	28	,	,	PUNCT
brj-23713	270	29	pant	pant	NOUN
brj-23713	270	30	,	,	PUNCT
brj-23713	270	31	k.	k.	PROPN
brj-23713	270	32	k.	k.	PROPN
brj-23713	270	33	,	,	PUNCT
brj-23713	270	34	murugavelh	murugavelh	PROPN
brj-23713	270	35	,	,	PUNCT
brj-23713	270	36	s.	s.	PROPN
brj-23713	270	37	,	,	PUNCT
brj-23713	270	38	huang	huang	PROPN
brj-23713	270	39	,	,	PUNCT
brj-23713	270	40	q.	q.	PROPN
brj-23713	270	41	,	,	PUNCT
brj-23713	270	42	anthony	anthony	PROPN
brj-23713	270	43	,	,	PUNCT
brj-23713	270	44	e.	e.	PROPN
brj-23713	270	45	,	,	PUNCT
brj-23713	270	46	fennel	fennel	NOUN
brj-23713	270	47	,	,	PUNCT
brj-23713	270	48	p.	p.	PROPN
brj-23713	270	49	,	,	PUNCT
brj-23713	270	50	et	et	PROPN
brj-23713	270	51	al	al	PROPN
brj-23713	270	52	.	.	PROPN
brj-23713	270	53	(	(	PUNCT
brj-23713	270	54	2022	2022	NUM
brj-23713	270	55	)	)	PUNCT
brj-23713	270	56	.	.	PUNCT
brj-23713	271	1	“	"	PUNCT
brj-23713	271	2	biomass	biomass	NOUN
brj-23713	271	3	pyrolysis	pyrolysis	NOUN
brj-23713	271	4	:	:	PUNCT
brj-23713	271	5	a	a	DET
brj-23713	271	6	review	review	NOUN
brj-23713	271	7	on	on	ADP
brj-23713	271	8	recent	recent	ADJ
brj-23713	271	9	advancements	advancement	NOUN
brj-23713	271	10	and	and	CCONJ
brj-23713	271	11	green	green	ADJ
brj-23713	271	12	hydrogen	hydrogen	NOUN
brj-23713	271	13	production	production	NOUN
brj-23713	271	14	,	,	PUNCT
brj-23713	271	15	”	"	PUNCT
brj-23713	271	16	bioresource	bioresource	ADP
brj-23713	271	17	technology	technology	NOUN
brj-23713	271	18	364	364	NUM
brj-23713	271	19	,	,	PUNCT
brj-23713	271	20	article	article	NOUN
brj-23713	271	21	128087	128087	NUM
brj-23713	271	22	.	.	PUNCT
brj-23713	272	1	doi	doi	NOUN
brj-23713	272	2	:	:	PUNCT
brj-23713	272	3	10.1016	10.1016	NUM
brj-23713	272	4	/	/	SYM
brj-23713	272	5	j.biortech.2022.128087	j.biortech.2022.128087	PROPN
brj-23713	272	6	wang	wang	PROPN
brj-23713	272	7	,	,	PUNCT
brj-23713	272	8	y.	y.	PROPN
brj-23713	272	9	,	,	PUNCT
brj-23713	272	10	and	and	CCONJ
brj-23713	272	11	wu	wu	PROPN
brj-23713	272	12	,	,	PUNCT
brj-23713	272	13	j.	j.	PROPN
brj-23713	272	14	j.	j.	PROPN
brj-23713	272	15	(	(	PUNCT
brj-23713	272	16	2023	2023	NUM
brj-23713	272	17	)	)	PUNCT
brj-23713	272	18	.	.	PUNCT
brj-23713	273	1	“	"	PUNCT
brj-23713	273	2	thermochemical	thermochemical	ADJ
brj-23713	273	3	conversion	conversion	NOUN
brj-23713	273	4	of	of	ADP
brj-23713	273	5	biomass	biomass	NOUN
brj-23713	273	6	:	:	PUNCT
brj-23713	273	7	potential	potential	ADJ
brj-23713	273	8	future	future	ADJ
brj-23713	273	9	prospects	prospect	NOUN
brj-23713	273	10	,	,	PUNCT
brj-23713	273	11	”	"	PUNCT
brj-23713	273	12	renewable	renewable	ADJ
brj-23713	273	13	and	and	CCONJ
brj-23713	273	14	sustainable	sustainable	ADJ
brj-23713	273	15	energy	energy	NOUN
brj-23713	273	16	reviews	review	NOUN
brj-23713	273	17	187	187	NUM
brj-23713	273	18	,	,	PUNCT
brj-23713	273	19	article	article	NOUN
brj-23713	273	20	113754	113754	NUM
brj-23713	273	21	.	.	PUNCT
brj-23713	274	1	https://doi.org/10.1016/j.biortech.2018.09.030	https://doi.org/10.1016/j.biortech.2018.09.030	PROPN
brj-23713	274	2	https://doi.org/10.1016/j.biortech.2022.128423	https://doi.org/10.1016/j.biortech.2022.128423	PROPN
brj-23713	274	3	http://dx.doi.org/10.1016/j.neucom.2022.09.053	http://dx.doi.org/10.1016/j.neucom.2022.09.053	PROPN
brj-23713	274	4	https://doi.org/10.1016/j.jece.2021.107017	https://doi.org/10.1016/j.jece.2021.107017	ADV
brj-23713	274	5	https://doi.org/10.1016/j.biortech.2024.130519	https://doi.org/10.1016/j.biortech.2024.130519	VERB
brj-23713	274	6	http://dx.doi.org/10.1016/j.joei.2023.101236	http://dx.doi.org/10.1016/j.joei.2023.101236	NUM
brj-23713	274	7	http://dx.doi.org/10.1016/j.biortech.2022.128087	http://dx.doi.org/10.1016/j.biortech.2022.128087	NUM
brj-23713	274	8	peer	peer	NOUN
brj-23713	274	9	-	-	PUNCT
brj-23713	274	10	reviewed	review	VERB
brj-23713	274	11	article	article	NOUN
brj-23713	274	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-23713	274	13	xu	xu	PROPN
brj-23713	274	14	et	et	PROPN
brj-23713	274	15	al	al	PROPN
brj-23713	274	16	.	.	PROPN
brj-23713	275	1	(	(	PUNCT
brj-23713	275	2	2024	2024	NUM
brj-23713	275	3	)	)	PUNCT
brj-23713	275	4	.	.	PUNCT
brj-23713	276	1	“	"	PUNCT
brj-23713	276	2	machine	machine	NOUN
brj-23713	276	3	learning	learning	NOUN
brj-23713	276	4	for	for	ADP
brj-23713	276	5	biochar	biochar	NOUN
brj-23713	276	6	,	,	PUNCT
brj-23713	276	7	”	"	PUNCT
brj-23713	276	8	bioresources	bioresource	NOUN
brj-23713	276	9	19(3	19(3	NUM
brj-23713	276	10	)	)	PUNCT
brj-23713	276	11	,	,	PUNCT
brj-23713	276	12	6545	6545	NUM
brj-23713	276	13	-	-	SYM
brj-23713	276	14	6558	6558	NUM
brj-23713	276	15	.	.	PUNCT
brj-23713	277	1	6558	6558	NUM
brj-23713	277	2	xu	xu	PROPN
brj-23713	277	3	,	,	PUNCT
brj-23713	277	4	l.	l.	PROPN
brj-23713	277	5	,	,	PUNCT
brj-23713	277	6	saatchi	saatchi	PROPN
brj-23713	277	7	,	,	PUNCT
brj-23713	277	8	s.	s.	PROPN
brj-23713	277	9	s.	s.	PROPN
brj-23713	277	10	,	,	PUNCT
brj-23713	277	11	yang	yang	PROPN
brj-23713	277	12	,	,	PUNCT
brj-23713	277	13	y.	y.	PROPN
brj-23713	277	14	,	,	PUNCT
brj-23713	277	15	yu	yu	PROPN
brj-23713	277	16	,	,	PUNCT
brj-23713	277	17	y.	y.	PROPN
brj-23713	277	18	,	,	PUNCT
brj-23713	277	19	pongratz	pongratz	NOUN
brj-23713	277	20	,	,	PUNCT
brj-23713	277	21	j.	j.	PROPN
brj-23713	277	22	,	,	PUNCT
brj-23713	277	23	bloom	bloom	NOUN
brj-23713	277	24	,	,	PUNCT
brj-23713	277	25	a.	a.	NOUN
brj-23713	277	26	a.	a.	PROPN
brj-23713	277	27	,	,	PUNCT
brj-23713	277	28	bowman	bowman	PROPN
brj-23713	277	29	,	,	PUNCT
brj-23713	277	30	k.	k.	PROPN
brj-23713	277	31	,	,	PUNCT
brj-23713	277	32	worden	worden	PROPN
brj-23713	277	33	,	,	PUNCT
brj-23713	277	34	j.	j.	PROPN
brj-23713	277	35	,	,	PUNCT
brj-23713	277	36	liu	liu	PROPN
brj-23713	277	37	,	,	PUNCT
brj-23713	277	38	j.	j.	PROPN
brj-23713	277	39	,	,	PUNCT
brj-23713	277	40	yin	yin	PROPN
brj-23713	277	41	,	,	PUNCT
brj-23713	277	42	y.	y.	PROPN
brj-23713	277	43	,	,	PUNCT
brj-23713	277	44	et	et	PROPN
brj-23713	277	45	al	al	PROPN
brj-23713	277	46	.	.	PROPN
brj-23713	277	47	(	(	PUNCT
brj-23713	277	48	2021	2021	NUM
brj-23713	277	49	)	)	PUNCT
brj-23713	277	50	.	.	PUNCT
brj-23713	278	1	“	"	PUNCT
brj-23713	278	2	changes	change	NOUN
brj-23713	278	3	in	in	ADP
brj-23713	278	4	global	global	ADJ
brj-23713	278	5	terrestrial	terrestrial	ADJ
brj-23713	278	6	live	live	ADJ
brj-23713	278	7	biomass	biomass	NOUN
brj-23713	278	8	over	over	ADP
brj-23713	278	9	the	the	DET
brj-23713	278	10	21st	21st	ADJ
brj-23713	278	11	century	century	NOUN
brj-23713	278	12	,	,	PUNCT
brj-23713	278	13	”	"	PUNCT
brj-23713	278	14	science	science	NOUN
brj-23713	278	15	advances	advance	NOUN
brj-23713	278	16	7(27	7(27	NOUN
brj-23713	278	17	)	)	PUNCT
brj-23713	278	18	,	,	PUNCT
brj-23713	278	19	article	article	NOUN
brj-23713	278	20	eabe9829	eabe9829	PROPN
brj-23713	278	21	.	.	PUNCT
brj-23713	279	1	doi	doi	NOUN
brj-23713	279	2	:	:	PUNCT
brj-23713	279	3	10.1126	10.1126	NUM
brj-23713	279	4	/	/	SYM
brj-23713	279	5	sciadv.abe9829	sciadv.abe9829	NUM
brj-23713	279	6	yang	yang	PROPN
brj-23713	279	7	,	,	PUNCT
brj-23713	279	8	x.	x.	PROPN
brj-23713	279	9	,	,	PUNCT
brj-23713	279	10	yuan	yuan	PROPN
brj-23713	279	11	,	,	PUNCT
brj-23713	279	12	c.	c.	PROPN
brj-23713	279	13	,	,	PUNCT
brj-23713	279	14	he	he	PRON
brj-23713	279	15	,	,	PUNCT
brj-23713	279	16	s.	s.	PROPN
brj-23713	279	17	,	,	PUNCT
brj-23713	279	18	jiang	jiang	PROPN
brj-23713	279	19	,	,	PUNCT
brj-23713	279	20	d.	d.	PROPN
brj-23713	279	21	,	,	PUNCT
brj-23713	279	22	cao	cao	PROPN
brj-23713	279	23	,	,	PUNCT
brj-23713	279	24	b.	b.	PROPN
brj-23713	279	25	,	,	PUNCT
brj-23713	279	26	and	and	CCONJ
brj-23713	279	27	wang	wang	PROPN
brj-23713	279	28	,	,	PUNCT
brj-23713	279	29	s.	s.	PROPN
brj-23713	279	30	(	(	PUNCT
brj-23713	279	31	2023	2023	NUM
brj-23713	279	32	)	)	PUNCT
brj-23713	279	33	.	.	PUNCT
brj-23713	280	1	“	"	PUNCT
brj-23713	280	2	machine	machine	NOUN
brj-23713	280	3	learning	learning	NOUN
brj-23713	280	4	prediction	prediction	NOUN
brj-23713	280	5	of	of	ADP
brj-23713	280	6	specific	specific	ADJ
brj-23713	280	7	capacitance	capacitance	NOUN
brj-23713	280	8	in	in	ADP
brj-23713	280	9	biomass	biomass	NOUN
brj-23713	280	10	derived	derive	VERB
brj-23713	280	11	carbon	carbon	NOUN
brj-23713	280	12	materials	material	NOUN
brj-23713	280	13	:	:	PUNCT
brj-23713	280	14	effects	effect	NOUN
brj-23713	280	15	of	of	ADP
brj-23713	280	16	activation	activation	NOUN
brj-23713	280	17	and	and	CCONJ
brj-23713	280	18	biochar	biochar	NOUN
brj-23713	280	19	characteristics	characteristic	NOUN
brj-23713	280	20	,	,	PUNCT
brj-23713	280	21	”	"	PUNCT
brj-23713	280	22	fuel	fuel	NOUN
brj-23713	280	23	331	331	NUM
brj-23713	280	24	,	,	PUNCT
brj-23713	280	25	article	article	NOUN
brj-23713	280	26	125718	125718	NUM
brj-23713	280	27	.	.	PUNCT
brj-23713	281	1	doi	doi	NOUN
brj-23713	281	2	:	:	PUNCT
brj-23713	281	3	10.1016	10.1016	NUM
brj-23713	281	4	/	/	SYM
brj-23713	281	5	j.fuel.2022.125718	j.fuel.2022.125718	PROPN
brj-23713	281	6	zhang	zhang	PROPN
brj-23713	281	7	,	,	PUNCT
brj-23713	281	8	c.	c.	PROPN
brj-23713	281	9	,	,	PUNCT
brj-23713	281	10	chao	chao	PROPN
brj-23713	281	11	,	,	PUNCT
brj-23713	281	12	l.	l.	PROPN
brj-23713	281	13	,	,	PUNCT
brj-23713	281	14	zhang	zhang	PROPN
brj-23713	281	15	,	,	PUNCT
brj-23713	281	16	z.	z.	PROPN
brj-23713	281	17	,	,	PUNCT
brj-23713	281	18	zhang	zhang	PROPN
brj-23713	281	19	,	,	PUNCT
brj-23713	281	20	l.	l.	PROPN
brj-23713	281	21	,	,	PUNCT
brj-23713	281	22	li	li	PROPN
brj-23713	281	23	,	,	PUNCT
brj-23713	281	24	q.	q.	PROPN
brj-23713	281	25	,	,	PUNCT
brj-23713	281	26	fan	fan	PROPN
brj-23713	281	27	,	,	PUNCT
brj-23713	281	28	h.	h.	PROPN
brj-23713	281	29	,	,	PUNCT
brj-23713	281	30	zhang	zhang	PROPN
brj-23713	281	31	,	,	PUNCT
brj-23713	281	32	s.	s.	PROPN
brj-23713	281	33	,	,	PUNCT
brj-23713	281	34	liu	liu	PROPN
brj-23713	281	35	,	,	PUNCT
brj-23713	281	36	q.	q.	PROPN
brj-23713	281	37	,	,	PUNCT
brj-23713	281	38	qiao	qiao	PROPN
brj-23713	281	39	,	,	PUNCT
brj-23713	281	40	y.	y.	PROPN
brj-23713	281	41	,	,	PUNCT
brj-23713	281	42	tian	tian	PROPN
brj-23713	281	43	,	,	PUNCT
brj-23713	281	44	y.	y.	PROPN
brj-23713	281	45	,	,	PUNCT
brj-23713	281	46	et	et	PROPN
brj-23713	281	47	al	al	PROPN
brj-23713	281	48	.	.	PROPN
brj-23713	281	49	(	(	PUNCT
brj-23713	281	50	2021	2021	NUM
brj-23713	281	51	)	)	PUNCT
brj-23713	281	52	.	.	PUNCT
brj-23713	282	1	“	"	PUNCT
brj-23713	282	2	pyrolysis	pyrolysis	NOUN
brj-23713	282	3	of	of	ADP
brj-23713	282	4	cellulose	cellulose	NOUN
brj-23713	282	5	:	:	PUNCT
brj-23713	282	6	evolution	evolution	NOUN
brj-23713	282	7	of	of	ADP
brj-23713	282	8	functionalities	functionality	NOUN
brj-23713	282	9	and	and	CCONJ
brj-23713	282	10	structure	structure	NOUN
brj-23713	282	11	of	of	ADP
brj-23713	282	12	bio	bio	NOUN
brj-23713	282	13	-	-	NOUN
brj-23713	282	14	char	char	NOUN
brj-23713	282	15	versus	versus	ADP
brj-23713	282	16	temperature	temperature	NOUN
brj-23713	282	17	,	,	PUNCT
brj-23713	282	18	”	"	PUNCT
brj-23713	282	19	renewable	renewable	ADJ
brj-23713	282	20	and	and	CCONJ
brj-23713	282	21	sustainable	sustainable	ADJ
brj-23713	282	22	energy	energy	NOUN
brj-23713	282	23	reviews	review	NOUN
brj-23713	282	24	135	135	NUM
brj-23713	282	25	,	,	PUNCT
brj-23713	282	26	article	article	NOUN
brj-23713	282	27	110416	110416	NUM
brj-23713	282	28	.	.	PUNCT
brj-23713	283	1	doi	doi	NOUN
brj-23713	283	2	:	:	PUNCT
brj-23713	283	3	10.1016	10.1016	NUM
brj-23713	283	4	/	/	SYM
brj-23713	283	5	j.rser.2020.110416	j.rser.2020.110416	PROPN
brj-23713	283	6	zhang	zhang	PROPN
brj-23713	283	7	,	,	PUNCT
brj-23713	283	8	s.	s.	PROPN
brj-23713	283	9	,	,	PUNCT
brj-23713	283	10	mei	mei	PROPN
brj-23713	283	11	,	,	PUNCT
brj-23713	283	12	y.	y.	PROPN
brj-23713	283	13	,	,	PUNCT
brj-23713	283	14	and	and	CCONJ
brj-23713	283	15	lin	lin	PROPN
brj-23713	283	16	,	,	PUNCT
brj-23713	283	17	g.	g.	PROPN
brj-23713	283	18	(	(	PUNCT
brj-23713	283	19	2024	2024	NUM
brj-23713	283	20	)	)	PUNCT
brj-23713	283	21	.	.	PUNCT
brj-23713	284	1	“	"	PUNCT
brj-23713	284	2	pyrolysis	pyrolysis	NOUN
brj-23713	284	3	interaction	interaction	NOUN
brj-23713	284	4	of	of	ADP
brj-23713	284	5	cellulose	cellulose	NOUN
brj-23713	284	6	,	,	PUNCT
brj-23713	284	7	hemicellulose	hemicellulose	NOUN
brj-23713	284	8	and	and	CCONJ
brj-23713	284	9	lignin	lignin	NOUN
brj-23713	284	10	studied	study	VERB
brj-23713	284	11	by	by	ADP
brj-23713	284	12	tg	tg	PROPN
brj-23713	284	13	-	-	PUNCT
brj-23713	284	14	dsc	dsc	PROPN
brj-23713	284	15	-	-	PUNCT
brj-23713	284	16	ms	ms	NOUN
brj-23713	284	17	,	,	PUNCT
brj-23713	284	18	”	"	PUNCT
brj-23713	284	19	journal	journal	NOUN
brj-23713	284	20	of	of	ADP
brj-23713	284	21	the	the	DET
brj-23713	284	22	energy	energy	NOUN
brj-23713	284	23	institute	institute	NOUN
brj-23713	284	24	112	112	NUM
brj-23713	284	25	,	,	PUNCT
brj-23713	284	26	article	article	NOUN
brj-23713	284	27	101479	101479	NUM
brj-23713	284	28	.	.	PUNCT
brj-23713	285	1	zhao	zhao	PROPN
brj-23713	285	2	,	,	PUNCT
brj-23713	285	3	y.	y.	PROPN
brj-23713	285	4	,	,	PUNCT
brj-23713	285	5	zhang	zhang	PROPN
brj-23713	285	6	,	,	PUNCT
brj-23713	285	7	w.	w.	PROPN
brj-23713	285	8	,	,	PUNCT
brj-23713	285	9	and	and	CCONJ
brj-23713	285	10	liu	liu	PROPN
brj-23713	285	11	,	,	PUNCT
brj-23713	285	12	x.	x.	NOUN
brj-23713	285	13	(	(	PUNCT
brj-23713	285	14	2024	2024	NUM
brj-23713	285	15	)	)	PUNCT
brj-23713	285	16	.	.	PUNCT
brj-23713	286	1	“	"	PUNCT
brj-23713	286	2	grid	grid	VERB
brj-23713	286	3	search	search	NOUN
brj-23713	286	4	with	with	ADP
brj-23713	286	5	a	a	DET
brj-23713	286	6	weighted	weight	VERB
brj-23713	286	7	error	error	NOUN
brj-23713	286	8	function	function	NOUN
brj-23713	286	9	:	:	PUNCT
brj-23713	286	10	hyper	hyper	ADJ
brj-23713	286	11	-	-	ADJ
brj-23713	286	12	parameter	parameter	ADJ
brj-23713	286	13	optimization	optimization	NOUN
brj-23713	286	14	for	for	ADP
brj-23713	286	15	financial	financial	ADJ
brj-23713	286	16	time	time	NOUN
brj-23713	286	17	series	series	PROPN
brj-23713	286	18	forecasting	forecasting	NOUN
brj-23713	286	19	,	,	PUNCT
brj-23713	286	20	”	"	PUNCT
brj-23713	286	21	applied	apply	VERB
brj-23713	286	22	soft	soft	ADJ
brj-23713	286	23	computing	compute	VERB
brj-23713	286	24	154	154	NUM
brj-23713	286	25	,	,	PUNCT
brj-23713	286	26	article	article	NOUN
brj-23713	286	27	111362	111362	NUM
brj-23713	286	28	.	.	PUNCT
brj-23713	287	1	zhou	zhou	PROPN
brj-23713	287	2	,	,	PUNCT
brj-23713	287	3	z.	z.	PROPN
brj-23713	287	4	c.	c.	PROPN
brj-23713	287	5	,	,	PUNCT
brj-23713	287	6	wu	wu	PROPN
brj-23713	287	7	,	,	PUNCT
brj-23713	287	8	z.	z.	PROPN
brj-23713	287	9	,	,	PUNCT
brj-23713	287	10	and	and	CCONJ
brj-23713	287	11	jin	jin	NOUN
brj-23713	287	12	,	,	PUNCT
brj-23713	287	13	t.	t.	PROPN
brj-23713	287	14	(	(	PUNCT
brj-23713	287	15	2021	2021	NUM
brj-23713	287	16	)	)	PUNCT
brj-23713	287	17	.	.	PUNCT
brj-23713	288	1	“	"	PUNCT
brj-23713	288	2	deep	deep	ADJ
brj-23713	288	3	reinforcement	reinforcement	NOUN
brj-23713	288	4	learning	learning	NOUN
brj-23713	288	5	framework	framework	NOUN
brj-23713	288	6	for	for	ADP
brj-23713	288	7	resilience	resilience	NOUN
brj-23713	288	8	enhancement	enhancement	NOUN
brj-23713	288	9	of	of	ADP
brj-23713	288	10	distribution	distribution	NOUN
brj-23713	288	11	systems	system	NOUN
brj-23713	288	12	under	under	ADP
brj-23713	288	13	extreme	extreme	ADJ
brj-23713	288	14	weather	weather	NOUN
brj-23713	288	15	events	event	NOUN
brj-23713	288	16	,	,	PUNCT
brj-23713	288	17	”	"	PUNCT
brj-23713	288	18	international	international	ADJ
brj-23713	288	19	journal	journal	NOUN
brj-23713	288	20	of	of	ADP
brj-23713	288	21	electrical	electrical	ADJ
brj-23713	288	22	power	power	NOUN
brj-23713	288	23	and	and	CCONJ
brj-23713	288	24	energy	energy	NOUN
brj-23713	288	25	systems	system	NOUN
brj-23713	288	26	128	128	NUM
brj-23713	288	27	,	,	PUNCT
brj-23713	288	28	article	article	NOUN
brj-23713	288	29	106676	106676	NUM
brj-23713	288	30	.	.	PUNCT
brj-23713	289	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	289	2	/	/	SYM
brj-23713	289	3	j.ijepes.2020.106676	j.ijepes.2020.106676	PROPN
brj-23713	289	4	zhu	zhu	PROPN
brj-23713	289	5	,	,	PUNCT
brj-23713	289	6	x.	x.	PROPN
brj-23713	289	7	,	,	PUNCT
brj-23713	289	8	li	li	PROPN
brj-23713	289	9	,	,	PUNCT
brj-23713	289	10	y.	y.	PROPN
brj-23713	289	11	,	,	PUNCT
brj-23713	289	12	and	and	CCONJ
brj-23713	289	13	wang	wang	PROPN
brj-23713	289	14	,	,	PUNCT
brj-23713	289	15	x.	x.	NOUN
brj-23713	289	16	(	(	PUNCT
brj-23713	289	17	2019	2019	NUM
brj-23713	289	18	)	)	PUNCT
brj-23713	289	19	.	.	PUNCT
brj-23713	290	1	“	"	PUNCT
brj-23713	290	2	machine	machine	NOUN
brj-23713	290	3	learning	learning	NOUN
brj-23713	290	4	prediction	prediction	NOUN
brj-23713	290	5	of	of	ADP
brj-23713	290	6	biochar	biochar	NOUN
brj-23713	290	7	yield	yield	NOUN
brj-23713	290	8	and	and	CCONJ
brj-23713	290	9	carbon	carbon	NOUN
brj-23713	290	10	contents	content	NOUN
brj-23713	290	11	in	in	ADP
brj-23713	290	12	biochar	biochar	NOUN
brj-23713	290	13	based	base	VERB
brj-23713	290	14	on	on	ADP
brj-23713	290	15	biomass	biomass	NOUN
brj-23713	290	16	characteristics	characteristic	NOUN
brj-23713	290	17	and	and	CCONJ
brj-23713	290	18	pyrolysis	pyrolysis	NOUN
brj-23713	290	19	conditions	condition	NOUN
brj-23713	290	20	,	,	PUNCT
brj-23713	290	21	”	"	PUNCT
brj-23713	290	22	bioresource	bioresource	ADP
brj-23713	290	23	technology	technology	NOUN
brj-23713	290	24	288	288	NUM
brj-23713	290	25	,	,	PUNCT
brj-23713	290	26	article	article	NOUN
brj-23713	290	27	121527	121527	NUM
brj-23713	290	28	.	.	PUNCT
brj-23713	291	1	doi:10.1016	doi:10.1016	PROPN
brj-23713	291	2	/	/	SYM
brj-23713	291	3	j.biortech.2019.121527	j.biortech.2019.121527	PROPN
brj-23713	291	4	zou	zou	PROPN
brj-23713	291	5	,	,	PUNCT
brj-23713	291	6	x.	x.	NOUN
brj-23713	291	7	,	,	PUNCT
brj-23713	291	8	debiagi	debiagi	ADJ
brj-23713	291	9	,	,	PUNCT
brj-23713	291	10	p.	p.	PROPN
brj-23713	291	11	,	,	PUNCT
brj-23713	291	12	amjed	amjed	PROPN
brj-23713	291	13	,	,	PUNCT
brj-23713	291	14	m.	m.	NOUN
brj-23713	291	15	a.	a.	PROPN
brj-23713	291	16	,	,	PUNCT
brj-23713	291	17	zhai	zhai	PROPN
brj-23713	291	18	,	,	PUNCT
brj-23713	291	19	m.	m.	NOUN
brj-23713	291	20	,	,	PUNCT
brj-23713	291	21	and	and	CCONJ
brj-23713	291	22	faravelli	faravelli	PROPN
brj-23713	291	23	,	,	PUNCT
brj-23713	291	24	t.	t.	PROPN
brj-23713	291	25	(	(	PUNCT
brj-23713	291	26	2024	2024	NUM
brj-23713	291	27	)	)	PUNCT
brj-23713	291	28	.	.	PUNCT
brj-23713	292	1	“	"	PUNCT
brj-23713	292	2	impact	impact	NOUN
brj-23713	292	3	of	of	ADP
brj-23713	292	4	hightemperature	hightemperature	NOUN
brj-23713	292	5	biomass	biomass	NOUN
brj-23713	292	6	pyrolysis	pyrolysis	NOUN
brj-23713	292	7	on	on	ADP
brj-23713	292	8	biochar	biochar	NOUN
brj-23713	292	9	formation	formation	NOUN
brj-23713	292	10	and	and	CCONJ
brj-23713	292	11	composition	composition	NOUN
brj-23713	292	12	,	,	PUNCT
brj-23713	292	13	”	"	PUNCT
brj-23713	292	14	journal	journal	NOUN
brj-23713	292	15	of	of	ADP
brj-23713	292	16	analytical	analytical	ADJ
brj-23713	292	17	and	and	CCONJ
brj-23713	292	18	applied	applied	ADJ
brj-23713	292	19	pyrolysis	pyrolysis	NOUN
brj-23713	292	20	179	179	NUM
brj-23713	292	21	,	,	PUNCT
brj-23713	292	22	article	article	NOUN
brj-23713	292	23	106463	106463	NUM
brj-23713	292	24	.	.	PUNCT
brj-23713	293	1	doi	doi	NOUN
brj-23713	293	2	:	:	PUNCT
brj-23713	293	3	10.1016	10.1016	NUM
brj-23713	293	4	/	/	SYM
brj-23713	293	5	j.jaap.2024.106463	j.jaap.2024.106463	ADJ
brj-23713	293	6	article	article	NOUN
brj-23713	293	7	submitted	submit	VERB
brj-23713	293	8	:	:	PUNCT
brj-23713	293	9	june	june	PROPN
brj-23713	293	10	14	14	NUM
brj-23713	293	11	,	,	PUNCT
brj-23713	293	12	2024	2024	NUM
brj-23713	293	13	;	;	PUNCT
brj-23713	293	14	peer	peer	NOUN
brj-23713	293	15	review	review	NOUN
brj-23713	293	16	completed	complete	VERB
brj-23713	293	17	:	:	PUNCT
brj-23713	293	18	july	july	PROPN
brj-23713	293	19	11	11	NUM
brj-23713	293	20	,	,	PUNCT
brj-23713	293	21	2024	2024	NUM
brj-23713	293	22	;	;	PUNCT
brj-23713	293	23	revised	revise	VERB
brj-23713	293	24	version	version	NOUN
brj-23713	293	25	received	receive	VERB
brj-23713	293	26	:	:	PUNCT
brj-23713	293	27	july	july	PROPN
brj-23713	293	28	15	15	NUM
brj-23713	293	29	,	,	PUNCT
brj-23713	293	30	2024	2024	NUM
brj-23713	293	31	;	;	PUNCT
brj-23713	293	32	accepted	accept	VERB
brj-23713	293	33	:	:	PUNCT
brj-23713	293	34	july	july	PROPN
brj-23713	293	35	19	19	NUM
brj-23713	293	36	,	,	PUNCT
brj-23713	293	37	2024	2024	NUM
brj-23713	293	38	;	;	PUNCT
brj-23713	293	39	published	publish	VERB
brj-23713	293	40	:	:	PUNCT
brj-23713	293	41	july	july	PROPN
brj-23713	293	42	26	26	NUM
brj-23713	293	43	,	,	PUNCT
brj-23713	293	44	2024	2024	NUM
brj-23713	293	45	.	.	PUNCT
brj-23713	294	1	doi	doi	NOUN
brj-23713	294	2	:	:	PUNCT
brj-23713	294	3	10.15376	10.15376	NUM
brj-23713	294	4	/	/	SYM
brj-23713	294	5	biores.19.3.6545	biores.19.3.6545	NOUN
brj-23713	294	6	-	-	PUNCT
brj-23713	294	7	6558	6558	NUM
brj-23713	294	8	https://doi.org/10.1126/sciadv.abe9829	https://doi.org/10.1126/sciadv.abe9829	PROPN
brj-23713	294	9	https://doi.org/10.1016/j.ijepes.2020.106676	https://doi.org/10.1016/j.ijepes.2020.106676	PROPN
brj-23713	294	10	https://doi.org/10.1016/j.biortech.2019.121527	https://doi.org/10.1016/j.biortech.2019.121527	NOUN