id	sid	tid	token	lemma	pos
brj-23809	1	1	peer	peer	NOUN
brj-23809	1	2	-	-	PUNCT
brj-23809	1	3	review	review	NOUN
brj-23809	1	4	article	article	NOUN
brj-23809	1	5	editorial	editorial	NOUN
brj-23809	1	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23809	1	7	wang	wang	PROPN
brj-23809	1	8	(	(	PUNCT
brj-23809	1	9	2024	2024	NUM
brj-23809	1	10	)	)	PUNCT
brj-23809	1	11	.	.	PUNCT
brj-23809	2	1	“	"	PUNCT
brj-23809	2	2	ml	ml	INTJ
brj-23809	2	3	for	for	ADP
brj-23809	2	4	biomass	biomass	NOUN
brj-23809	2	5	supply	supply	NOUN
brj-23809	2	6	chains	chain	NOUN
brj-23809	2	7	,	,	PUNCT
brj-23809	2	8	”	"	PUNCT
brj-23809	2	9	bioresources	bioresource	NOUN
brj-23809	2	10	19(4	19(4	NUM
brj-23809	2	11	)	)	PUNCT
brj-23809	2	12	,	,	PUNCT
brj-23809	2	13	6961	6961	NUM
brj-23809	2	14	-	-	SYM
brj-23809	2	15	6963	6963	NUM
brj-23809	2	16	.	.	PUNCT
brj-23809	3	1	6961	6961	NUM
brj-23809	3	2	machine	machine	NOUN
brj-23809	3	3	learning	learn	VERB
brj-23809	3	4	applications	application	NOUN
brj-23809	3	5	in	in	ADP
brj-23809	3	6	biomass	biomass	NOUN
brj-23809	3	7	supply	supply	NOUN
brj-23809	3	8	chain	chain	NOUN
brj-23809	3	9	management	management	NOUN
brj-23809	3	10	and	and	CCONJ
brj-23809	3	11	optimization	optimization	NOUN
brj-23809	3	12	jingxin	jingxin	PROPN
brj-23809	3	13	wang	wang	PROPN
brj-23809	3	14	forest	forest	PROPN
brj-23809	3	15	and	and	CCONJ
brj-23809	3	16	biomass	biomass	NOUN
brj-23809	3	17	resource	resource	NOUN
brj-23809	3	18	utilization	utilization	NOUN
brj-23809	3	19	for	for	ADP
brj-23809	3	20	bioenergy	bioenergy	NOUN
brj-23809	3	21	and	and	CCONJ
brj-23809	3	22	bioproducts	bioproduct	NOUN
brj-23809	3	23	is	be	AUX
brj-23809	3	24	crucial	crucial	ADJ
brj-23809	3	25	for	for	ADP
brj-23809	3	26	mitigating	mitigate	VERB
brj-23809	3	27	climate	climate	NOUN
brj-23809	3	28	change	change	NOUN
brj-23809	3	29	and	and	CCONJ
brj-23809	3	30	promoting	promote	VERB
brj-23809	3	31	a	a	DET
brj-23809	3	32	sustainable	sustainable	ADJ
brj-23809	3	33	bioeconomy	bioeconomy	NOUN
brj-23809	3	34	.	.	PUNCT
brj-23809	4	1	given	give	VERB
brj-23809	4	2	that	that	SCONJ
brj-23809	4	3	the	the	DET
brj-23809	4	4	biomass	biomass	NOUN
brj-23809	4	5	supply	supply	NOUN
brj-23809	4	6	chain	chain	NOUN
brj-23809	4	7	is	be	AUX
brj-23809	4	8	a	a	DET
brj-23809	4	9	complex	complex	ADJ
brj-23809	4	10	system	system	NOUN
brj-23809	4	11	,	,	PUNCT
brj-23809	4	12	one	one	NUM
brj-23809	4	13	of	of	ADP
brj-23809	4	14	the	the	DET
brj-23809	4	15	most	most	ADV
brj-23809	4	16	concerning	concerning	ADJ
brj-23809	4	17	issues	issue	NOUN
brj-23809	4	18	is	be	AUX
brj-23809	4	19	selecting	select	VERB
brj-23809	4	20	and	and	CCONJ
brj-23809	4	21	using	use	VERB
brj-23809	4	22	appropriate	appropriate	ADJ
brj-23809	4	23	modeling	modeling	NOUN
brj-23809	4	24	and	and	CCONJ
brj-23809	4	25	analytical	analytical	ADJ
brj-23809	4	26	technologies	technology	NOUN
brj-23809	4	27	to	to	PART
brj-23809	4	28	optimize	optimize	VERB
brj-23809	4	29	the	the	DET
brj-23809	4	30	advantages	advantage	NOUN
brj-23809	4	31	of	of	ADP
brj-23809	4	32	multifeedstock	multifeedstock	ADJ
brj-23809	4	33	biomass	biomass	NOUN
brj-23809	4	34	supply	supply	NOUN
brj-23809	4	35	chains	chain	NOUN
brj-23809	4	36	.	.	PUNCT
brj-23809	4	37	machine	machine	NOUN
brj-23809	4	38	learning	learning	NOUN
brj-23809	4	39	(	(	PUNCT
brj-23809	4	40	ml	ml	NOUN
brj-23809	4	41	)	)	PUNCT
brj-23809	4	42	can	can	AUX
brj-23809	4	43	enhance	enhance	VERB
brj-23809	4	44	biomass	biomass	NOUN
brj-23809	4	45	supply	supply	NOUN
brj-23809	4	46	chain	chain	NOUN
brj-23809	4	47	management	management	NOUN
brj-23809	4	48	(	(	PUNCT
brj-23809	4	49	bscm	bscm	NOUN
brj-23809	4	50	)	)	PUNCT
brj-23809	4	51	efficiency	efficiency	NOUN
brj-23809	4	52	and	and	CCONJ
brj-23809	4	53	sustainability	sustainability	NOUN
brj-23809	4	54	.	.	PUNCT
brj-23809	5	1	it	it	PRON
brj-23809	5	2	can	can	AUX
brj-23809	5	3	address	address	VERB
brj-23809	5	4	the	the	DET
brj-23809	5	5	complexities	complexity	NOUN
brj-23809	5	6	in	in	ADP
brj-23809	5	7	cultivation	cultivation	NOUN
brj-23809	5	8	,	,	PUNCT
brj-23809	5	9	harvesting	harvesting	NOUN
brj-23809	5	10	,	,	PUNCT
brj-23809	5	11	preprocessing	preprocessing	NOUN
brj-23809	5	12	,	,	PUNCT
brj-23809	5	13	storage	storage	NOUN
brj-23809	5	14	,	,	PUNCT
brj-23809	5	15	transportation	transportation	NOUN
brj-23809	5	16	,	,	PUNCT
brj-23809	5	17	and	and	CCONJ
brj-23809	5	18	conversion	conversion	NOUN
brj-23809	5	19	.	.	PUNCT
brj-23809	6	1	ml	ml	PROPN
brj-23809	6	2	workflows	workflow	NOUN
brj-23809	6	3	involve	involve	VERB
brj-23809	6	4	data	datum	NOUN
brj-23809	6	5	collection	collection	NOUN
brj-23809	6	6	,	,	PUNCT
brj-23809	6	7	preprocessing	preprocessing	NOUN
brj-23809	6	8	,	,	PUNCT
brj-23809	6	9	model	model	NOUN
brj-23809	6	10	training	training	NOUN
brj-23809	6	11	,	,	PUNCT
brj-23809	6	12	and	and	CCONJ
brj-23809	6	13	optimization	optimization	NOUN
brj-23809	6	14	,	,	PUNCT
brj-23809	6	15	using	use	VERB
brj-23809	6	16	algorithms	algorithm	NOUN
brj-23809	6	17	for	for	ADP
brj-23809	6	18	prediction	prediction	NOUN
brj-23809	6	19	and	and	CCONJ
brj-23809	6	20	decision	decision	NOUN
brj-23809	6	21	-	-	PUNCT
brj-23809	6	22	making	making	NOUN
brj-23809	6	23	.	.	PUNCT
brj-23809	7	1	accurate	accurate	ADJ
brj-23809	7	2	supply	supply	NOUN
brj-23809	7	3	and	and	CCONJ
brj-23809	7	4	demand	demand	NOUN
brj-23809	7	5	forecasting	forecasting	NOUN
brj-23809	7	6	via	via	ADP
brj-23809	7	7	ml	ml	PROPN
brj-23809	7	8	improves	improve	VERB
brj-23809	7	9	production	production	NOUN
brj-23809	7	10	planning	planning	NOUN
brj-23809	7	11	and	and	CCONJ
brj-23809	7	12	inventory	inventory	NOUN
brj-23809	7	13	management	management	NOUN
brj-23809	7	14	.	.	PUNCT
brj-23809	8	1	despite	despite	SCONJ
brj-23809	8	2	its	its	PRON
brj-23809	8	3	potential	potential	NOUN
brj-23809	8	4	,	,	PUNCT
brj-23809	8	5	ml	ml	ADP
brj-23809	8	6	applications	application	NOUN
brj-23809	8	7	in	in	ADP
brj-23809	8	8	bscm	bscm	NOUN
brj-23809	8	9	need	need	NOUN
brj-23809	8	10	to	to	PART
brj-23809	8	11	deal	deal	VERB
brj-23809	8	12	with	with	ADP
brj-23809	8	13	challenges	challenge	NOUN
brj-23809	8	14	such	such	ADJ
brj-23809	8	15	as	as	ADP
brj-23809	8	16	data	data	NOUN
brj-23809	8	17	availability	availability	NOUN
brj-23809	8	18	and	and	CCONJ
brj-23809	8	19	quality	quality	NOUN
brj-23809	8	20	,	,	PUNCT
brj-23809	8	21	interpretability	interpretability	NOUN
brj-23809	8	22	of	of	ADP
brj-23809	8	23	models	model	NOUN
brj-23809	8	24	,	,	PUNCT
brj-23809	8	25	and	and	CCONJ
brj-23809	8	26	their	their	PRON
brj-23809	8	27	generalization	generalization	NOUN
brj-23809	8	28	capabilities	capability	NOUN
brj-23809	8	29	.	.	PUNCT
brj-23809	9	1	overcoming	overcome	VERB
brj-23809	9	2	such	such	ADJ
brj-23809	9	3	challenges	challenge	NOUN
brj-23809	9	4	requires	require	VERB
brj-23809	9	5	interdisciplinary	interdisciplinary	ADJ
brj-23809	9	6	efforts	effort	NOUN
brj-23809	9	7	in	in	ADP
brj-23809	9	8	data	data	NOUN
brj-23809	9	9	management	management	NOUN
brj-23809	9	10	and	and	CCONJ
brj-23809	9	11	model	model	NOUN
brj-23809	9	12	development	development	NOUN
brj-23809	9	13	to	to	PART
brj-23809	9	14	fully	fully	ADV
brj-23809	9	15	leverage	leverage	VERB
brj-23809	9	16	ml	ml	PROPN
brj-23809	9	17	’s	’s	PART
brj-23809	9	18	applicability	applicability	NOUN
brj-23809	9	19	.	.	PUNCT
brj-23809	10	1	doi	doi	NOUN
brj-23809	10	2	:	:	PUNCT
brj-23809	10	3	10.15376	10.15376	NUM
brj-23809	10	4	/	/	SYM
brj-23809	10	5	biores.19.4.6961	biores.19.4.6961	NOUN
brj-23809	10	6	-	-	PUNCT
brj-23809	10	7	6963	6963	NUM
brj-23809	10	8	keywords	keyword	NOUN
brj-23809	10	9	:	:	PUNCT
brj-23809	10	10	machine	machine	NOUN
brj-23809	10	11	learning	learning	NOUN
brj-23809	10	12	;	;	PUNCT
brj-23809	10	13	biomass	biomass	NOUN
brj-23809	10	14	supply	supply	NOUN
brj-23809	10	15	chain	chain	NOUN
brj-23809	10	16	management	management	NOUN
brj-23809	10	17	;	;	PUNCT
brj-23809	10	18	predictive	predictive	ADJ
brj-23809	10	19	modeling	modeling	NOUN
brj-23809	10	20	;	;	PUNCT
brj-23809	10	21	data	data	NOUN
brj-23809	10	22	-	-	PUNCT
brj-23809	10	23	driven	drive	VERB
brj-23809	10	24	optimization	optimization	NOUN
brj-23809	10	25	;	;	PUNCT
brj-23809	10	26	bioenergy	bioenergy	NOUN
brj-23809	10	27	;	;	PUNCT
brj-23809	10	28	bioproducts	bioproduct	VERB
brj-23809	10	29	contact	contact	NOUN
brj-23809	10	30	information	information	NOUN
brj-23809	10	31	:	:	PUNCT
brj-23809	10	32	professor	professor	NOUN
brj-23809	10	33	and	and	CCONJ
brj-23809	10	34	head	head	NOUN
brj-23809	10	35	,	,	PUNCT
brj-23809	10	36	department	department	NOUN
brj-23809	10	37	of	of	ADP
brj-23809	10	38	forest	forest	NOUN
brj-23809	10	39	biomaterials	biomaterial	NOUN
brj-23809	10	40	,	,	PUNCT
brj-23809	10	41	north	north	PROPN
brj-23809	10	42	carolina	carolina	PROPN
brj-23809	10	43	state	state	PROPN
brj-23809	10	44	university	university	PROPN
brj-23809	10	45	,	,	PUNCT
brj-23809	10	46	raleigh	raleigh	PROPN
brj-23809	10	47	,	,	PUNCT
brj-23809	10	48	nc	nc	PROPN
brj-23809	10	49	,	,	PUNCT
brj-23809	10	50	usa	usa	PROPN
brj-23809	10	51	,	,	PUNCT
brj-23809	10	52	27695	27695	NUM
brj-23809	10	53	;	;	PUNCT
brj-23809	10	54	jingxin_wang@ncsu.edu	jingxin_wang@ncsu.edu	VERB
brj-23809	10	55	an	an	DET
brj-23809	10	56	emerging	emerge	VERB
brj-23809	10	57	tool	tool	NOUN
brj-23809	10	58	for	for	ADP
brj-23809	10	59	biomass	biomass	NOUN
brj-23809	10	60	management	management	NOUN
brj-23809	10	61	in	in	ADP
brj-23809	10	62	the	the	DET
brj-23809	10	63	context	context	NOUN
brj-23809	10	64	of	of	ADP
brj-23809	10	65	industry	industry	NOUN
brj-23809	10	66	4.0	4.0	NUM
brj-23809	10	67	,	,	PUNCT
brj-23809	10	68	the	the	DET
brj-23809	10	69	potential	potential	NOUN
brj-23809	10	70	of	of	ADP
brj-23809	10	71	data	data	NOUN
brj-23809	10	72	-	-	PUNCT
brj-23809	10	73	driven	drive	VERB
brj-23809	10	74	applications	application	NOUN
brj-23809	10	75	has	have	AUX
brj-23809	10	76	promoted	promote	VERB
brj-23809	10	77	machine	machine	NOUN
brj-23809	10	78	learning	learning	NOUN
brj-23809	10	79	(	(	PUNCT
brj-23809	10	80	ml	ml	NOUN
brj-23809	10	81	)	)	PUNCT
brj-23809	10	82	to	to	PART
brj-23809	10	83	stand	stand	VERB
brj-23809	10	84	out	out	ADP
brj-23809	10	85	as	as	ADP
brj-23809	10	86	a	a	DET
brj-23809	10	87	transformative	transformative	ADJ
brj-23809	10	88	force	force	NOUN
brj-23809	10	89	across	across	ADP
brj-23809	10	90	various	various	ADJ
brj-23809	10	91	fields	field	NOUN
brj-23809	10	92	.	.	PUNCT
brj-23809	11	1	ml	ml	NOUN
brj-23809	11	2	,	,	PUNCT
brj-23809	11	3	a	a	DET
brj-23809	11	4	subset	subset	NOUN
brj-23809	11	5	of	of	ADP
brj-23809	11	6	artificial	artificial	ADJ
brj-23809	11	7	intelligence	intelligence	NOUN
brj-23809	11	8	,	,	PUNCT
brj-23809	11	9	enables	enable	VERB
brj-23809	11	10	systems	system	NOUN
brj-23809	11	11	to	to	PART
brj-23809	11	12	learn	learn	VERB
brj-23809	11	13	from	from	ADP
brj-23809	11	14	data	datum	NOUN
brj-23809	11	15	and	and	CCONJ
brj-23809	11	16	mimic	mimic	VERB
brj-23809	11	17	the	the	DET
brj-23809	11	18	decision	decision	NOUN
brj-23809	11	19	-	-	PUNCT
brj-23809	11	20	making	make	VERB
brj-23809	11	21	processes	process	NOUN
brj-23809	11	22	of	of	ADP
brj-23809	11	23	the	the	DET
brj-23809	11	24	human	human	ADJ
brj-23809	11	25	brain	brain	NOUN
brj-23809	11	26	.	.	PUNCT
brj-23809	12	1	one	one	NUM
brj-23809	12	2	promising	promise	VERB
brj-23809	12	3	yet	yet	CCONJ
brj-23809	12	4	underdeveloped	underdeveloped	ADJ
brj-23809	12	5	application	application	NOUN
brj-23809	12	6	area	area	NOUN
brj-23809	12	7	is	be	AUX
brj-23809	12	8	ml	ml	ADJ
brj-23809	12	9	for	for	ADP
brj-23809	12	10	biomass	biomass	NOUN
brj-23809	12	11	supply	supply	NOUN
brj-23809	12	12	chain	chain	NOUN
brj-23809	12	13	management	management	NOUN
brj-23809	12	14	(	(	PUNCT
brj-23809	12	15	bscm	bscm	PROPN
brj-23809	12	16	)	)	PUNCT
brj-23809	12	17	.	.	PUNCT
brj-23809	13	1	biomass	biomass	NOUN
brj-23809	13	2	includes	include	VERB
brj-23809	13	3	organic	organic	ADJ
brj-23809	13	4	materials	material	NOUN
brj-23809	13	5	such	such	ADJ
brj-23809	13	6	as	as	ADP
brj-23809	13	7	wood	wood	NOUN
brj-23809	13	8	,	,	PUNCT
brj-23809	13	9	forest	forest	NOUN
brj-23809	13	10	and	and	CCONJ
brj-23809	13	11	agricultural	agricultural	ADJ
brj-23809	13	12	residues	residue	NOUN
brj-23809	13	13	,	,	PUNCT
brj-23809	13	14	and	and	CCONJ
brj-23809	13	15	energy	energy	NOUN
brj-23809	13	16	crops	crop	NOUN
brj-23809	13	17	.	.	PUNCT
brj-23809	14	1	these	these	DET
brj-23809	14	2	renewable	renewable	ADJ
brj-23809	14	3	energy	energy	NOUN
brj-23809	14	4	sources	source	NOUN
brj-23809	14	5	can	can	AUX
brj-23809	14	6	be	be	AUX
brj-23809	14	7	used	use	VERB
brj-23809	14	8	for	for	ADP
brj-23809	14	9	biopower	biopower	NOUN
brj-23809	14	10	,	,	PUNCT
brj-23809	14	11	biofuels	biofuel	NOUN
brj-23809	14	12	,	,	PUNCT
brj-23809	14	13	and	and	CCONJ
brj-23809	14	14	bioproducts	bioproduct	NOUN
brj-23809	14	15	.	.	PUNCT
brj-23809	15	1	the	the	DET
brj-23809	15	2	development	development	NOUN
brj-23809	15	3	of	of	ADP
brj-23809	15	4	biomass	biomass	NOUN
brj-23809	15	5	feedstocks	feedstock	NOUN
brj-23809	15	6	not	not	PART
brj-23809	15	7	only	only	ADV
brj-23809	15	8	provides	provide	VERB
brj-23809	15	9	a	a	DET
brj-23809	15	10	viable	viable	ADJ
brj-23809	15	11	pathway	pathway	NOUN
brj-23809	15	12	to	to	ADP
brj-23809	15	13	mitigating	mitigate	VERB
brj-23809	15	14	climate	climate	NOUN
brj-23809	15	15	change	change	NOUN
brj-23809	15	16	but	but	CCONJ
brj-23809	15	17	also	also	ADV
brj-23809	15	18	enhances	enhance	VERB
brj-23809	15	19	energy	energy	NOUN
brj-23809	15	20	security	security	NOUN
brj-23809	15	21	,	,	PUNCT
brj-23809	15	22	stimulates	stimulate	VERB
brj-23809	15	23	the	the	DET
brj-23809	15	24	bioeconomy	bioeconomy	NOUN
brj-23809	15	25	,	,	PUNCT
brj-23809	15	26	and	and	CCONJ
brj-23809	15	27	drives	drive	VERB
brj-23809	15	28	technological	technological	ADJ
brj-23809	15	29	innovation	innovation	NOUN
brj-23809	15	30	.	.	PUNCT
brj-23809	16	1	however	however	ADV
brj-23809	16	2	,	,	PUNCT
brj-23809	16	3	the	the	DET
brj-23809	16	4	biomass	biomass	NOUN
brj-23809	16	5	supply	supply	NOUN
brj-23809	16	6	chain	chain	NOUN
brj-23809	16	7	is	be	AUX
brj-23809	16	8	a	a	DET
brj-23809	16	9	complex	complex	ADJ
brj-23809	16	10	system	system	NOUN
brj-23809	16	11	that	that	PRON
brj-23809	16	12	encompasses	encompass	VERB
brj-23809	16	13	the	the	DET
brj-23809	16	14	cultivation	cultivation	NOUN
brj-23809	16	15	,	,	PUNCT
brj-23809	16	16	harvesting	harvesting	NOUN
brj-23809	16	17	,	,	PUNCT
brj-23809	16	18	preprocessing	preprocessing	NOUN
brj-23809	16	19	,	,	PUNCT
brj-23809	16	20	storage	storage	NOUN
brj-23809	16	21	,	,	PUNCT
brj-23809	16	22	transportation	transportation	NOUN
brj-23809	16	23	,	,	PUNCT
brj-23809	16	24	and	and	CCONJ
brj-23809	16	25	conversion	conversion	NOUN
brj-23809	16	26	of	of	ADP
brj-23809	16	27	biomass	biomass	NOUN
brj-23809	16	28	feedstocks	feedstock	NOUN
brj-23809	16	29	.	.	PUNCT
brj-23809	17	1	variations	variation	NOUN
brj-23809	17	2	in	in	ADP
brj-23809	17	3	supply	supply	NOUN
brj-23809	17	4	and	and	CCONJ
brj-23809	17	5	demand	demand	NOUN
brj-23809	17	6	,	,	PUNCT
brj-23809	17	7	large	large	ADJ
brj-23809	17	8	-	-	PUNCT
brj-23809	17	9	scale	scale	NOUN
brj-23809	17	10	planning	planning	NOUN
brj-23809	17	11	and	and	CCONJ
brj-23809	17	12	scheduling	scheduling	NOUN
brj-23809	17	13	,	,	PUNCT
brj-23809	17	14	storage	storage	NOUN
brj-23809	17	15	and	and	CCONJ
brj-23809	17	16	processing	processing	NOUN
brj-23809	17	17	requirements	requirement	NOUN
brj-23809	17	18	,	,	PUNCT
brj-23809	17	19	technological	technological	ADJ
brj-23809	17	20	demands	demand	NOUN
brj-23809	17	21	,	,	PUNCT
brj-23809	17	22	and	and	CCONJ
brj-23809	17	23	sustainability	sustainability	NOUN
brj-23809	17	24	considerations	consideration	NOUN
brj-23809	17	25	pose	pose	VERB
brj-23809	17	26	significant	significant	ADJ
brj-23809	17	27	challenges	challenge	NOUN
brj-23809	17	28	to	to	ADP
brj-23809	17	29	bscm	bscm	PROPN
brj-23809	17	30	.	.	PUNCT
brj-23809	18	1	therefore	therefore	ADV
brj-23809	18	2	,	,	PUNCT
brj-23809	18	3	integrating	integrate	VERB
brj-23809	18	4	advanced	advanced	ADJ
brj-23809	18	5	ml	ml	NOUN
brj-23809	18	6	technologies	technology	NOUN
brj-23809	18	7	into	into	ADP
brj-23809	18	8	bscm	bscm	PROPN
brj-23809	18	9	is	be	AUX
brj-23809	18	10	essential	essential	ADJ
brj-23809	18	11	in	in	ADP
brj-23809	18	12	wood	wood	NOUN
brj-23809	18	13	and	and	CCONJ
brj-23809	18	14	biomass	biomass	NOUN
brj-23809	18	15	supply	supply	NOUN
brj-23809	18	16	chain	chain	NOUN
brj-23809	18	17	optimization	optimization	NOUN
brj-23809	18	18	.	.	PUNCT
brj-23809	19	1	mailto:jingxin_wang@ncsu.edu	mailto:jingxin_wang@ncsu.edu	PROPN
brj-23809	19	2	editorial	editorial	NOUN
brj-23809	19	3	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23809	19	4	wang	wang	PROPN
brj-23809	19	5	(	(	PUNCT
brj-23809	19	6	2024	2024	NUM
brj-23809	19	7	)	)	PUNCT
brj-23809	19	8	.	.	PUNCT
brj-23809	20	1	“	"	PUNCT
brj-23809	20	2	ml	ml	INTJ
brj-23809	20	3	for	for	ADP
brj-23809	20	4	biomass	biomass	NOUN
brj-23809	20	5	supply	supply	NOUN
brj-23809	20	6	chains	chain	NOUN
brj-23809	20	7	,	,	PUNCT
brj-23809	20	8	”	"	PUNCT
brj-23809	20	9	bioresources	bioresource	NOUN
brj-23809	20	10	19(4	19(4	NUM
brj-23809	20	11	)	)	PUNCT
brj-23809	20	12	,	,	PUNCT
brj-23809	20	13	6961	6961	NUM
brj-23809	20	14	-	-	SYM
brj-23809	20	15	6963	6963	NUM
brj-23809	20	16	.	.	PUNCT
brj-23809	21	1	6962	6962	NUM
brj-23809	21	2	the	the	DET
brj-23809	21	3	computer	computer	NOUN
brj-23809	21	4	as	as	ADP
brj-23809	21	5	student	student	NOUN
brj-23809	21	6	the	the	DET
brj-23809	21	7	essence	essence	NOUN
brj-23809	21	8	of	of	ADP
brj-23809	21	9	ml	ml	X
brj-23809	21	10	lies	lie	NOUN
brj-23809	21	11	in	in	ADP
brj-23809	21	12	enabling	enable	VERB
brj-23809	21	13	computer	computer	NOUN
brj-23809	21	14	systems	system	NOUN
brj-23809	21	15	to	to	PART
brj-23809	21	16	automatically	automatically	ADV
brj-23809	21	17	learn	learn	VERB
brj-23809	21	18	and	and	CCONJ
brj-23809	21	19	improve	improve	VERB
brj-23809	21	20	through	through	ADP
brj-23809	21	21	data	data	NOUN
brj-23809	21	22	-	-	PUNCT
brj-23809	21	23	driven	drive	VERB
brj-23809	21	24	methods	method	NOUN
brj-23809	21	25	,	,	PUNCT
brj-23809	21	26	thereby	thereby	ADV
brj-23809	21	27	accomplishing	accomplish	VERB
brj-23809	21	28	specific	specific	ADJ
brj-23809	21	29	tasks	task	NOUN
brj-23809	21	30	without	without	ADP
brj-23809	21	31	explicit	explicit	ADJ
brj-23809	21	32	programming	programming	NOUN
brj-23809	21	33	.	.	PUNCT
brj-23809	22	1	this	this	DET
brj-23809	22	2	process	process	NOUN
brj-23809	22	3	relies	rely	VERB
brj-23809	22	4	on	on	ADP
brj-23809	22	5	algorithms	algorithm	NOUN
brj-23809	22	6	and	and	CCONJ
brj-23809	22	7	statistical	statistical	ADJ
brj-23809	22	8	models	model	NOUN
brj-23809	22	9	to	to	PART
brj-23809	22	10	discover	discover	VERB
brj-23809	22	11	patterns	pattern	NOUN
brj-23809	22	12	and	and	CCONJ
brj-23809	22	13	rules	rule	NOUN
brj-23809	22	14	in	in	ADP
brj-23809	22	15	data	datum	NOUN
brj-23809	22	16	,	,	PUNCT
brj-23809	22	17	as	as	ADV
brj-23809	22	18	well	well	ADV
brj-23809	22	19	as	as	ADP
brj-23809	22	20	to	to	PART
brj-23809	22	21	make	make	VERB
brj-23809	22	22	predictions	prediction	NOUN
brj-23809	22	23	,	,	PUNCT
brj-23809	22	24	classifications	classification	NOUN
brj-23809	22	25	,	,	PUNCT
brj-23809	22	26	and	and	CCONJ
brj-23809	22	27	decisions	decision	NOUN
brj-23809	22	28	.	.	PUNCT
brj-23809	23	1	a	a	DET
brj-23809	23	2	typical	typical	ADJ
brj-23809	23	3	workflow	workflow	NOUN
brj-23809	23	4	of	of	ADP
brj-23809	23	5	ml	ml	NOUN
brj-23809	23	6	includes	include	VERB
brj-23809	23	7	data	datum	NOUN
brj-23809	23	8	collection	collection	NOUN
brj-23809	23	9	,	,	PUNCT
brj-23809	23	10	data	datum	NOUN
brj-23809	23	11	preprocessing	preprocessing	NOUN
brj-23809	23	12	,	,	PUNCT
brj-23809	23	13	feature	feature	NOUN
brj-23809	23	14	extraction	extraction	NOUN
brj-23809	23	15	,	,	PUNCT
brj-23809	23	16	model	model	NOUN
brj-23809	23	17	selection	selection	NOUN
brj-23809	23	18	,	,	PUNCT
brj-23809	23	19	model	model	NOUN
brj-23809	23	20	training	training	NOUN
brj-23809	23	21	,	,	PUNCT
brj-23809	23	22	model	model	NOUN
brj-23809	23	23	evaluation	evaluation	NOUN
brj-23809	23	24	,	,	PUNCT
brj-23809	23	25	and	and	CCONJ
brj-23809	23	26	model	model	NOUN
brj-23809	23	27	optimization	optimization	NOUN
brj-23809	23	28	.	.	PUNCT
brj-23809	24	1	ml	ml	X
brj-23809	24	2	is	be	AUX
brj-23809	24	3	fundamentally	fundamentally	ADV
brj-23809	24	4	based	base	VERB
brj-23809	24	5	on	on	ADP
brj-23809	24	6	data	datum	NOUN
brj-23809	24	7	.	.	PUNCT
brj-23809	25	1	by	by	ADP
brj-23809	25	2	handling	handle	VERB
brj-23809	25	3	and	and	CCONJ
brj-23809	25	4	analyzing	analyze	VERB
brj-23809	25	5	large	large	ADJ
brj-23809	25	6	amounts	amount	NOUN
brj-23809	25	7	of	of	ADP
brj-23809	25	8	multi	multi	ADJ
brj-23809	25	9	-	-	ADJ
brj-23809	25	10	source	source	NOUN
brj-23809	25	11	data	datum	NOUN
brj-23809	25	12	,	,	PUNCT
brj-23809	25	13	algorithms	algorithm	NOUN
brj-23809	25	14	can	can	AUX
brj-23809	25	15	extract	extract	VERB
brj-23809	25	16	useful	useful	ADJ
brj-23809	25	17	information	information	NOUN
brj-23809	25	18	.	.	PUNCT
brj-23809	26	1	ml	ml	PROPN
brj-23809	26	2	depends	depend	VERB
brj-23809	26	3	on	on	ADP
brj-23809	26	4	various	various	ADJ
brj-23809	26	5	algorithms	algorithm	NOUN
brj-23809	26	6	to	to	PART
brj-23809	26	7	train	train	VERB
brj-23809	26	8	models	model	NOUN
brj-23809	26	9	for	for	ADP
brj-23809	26	10	performing	perform	VERB
brj-23809	26	11	prediction	prediction	NOUN
brj-23809	26	12	and	and	CCONJ
brj-23809	26	13	classification	classification	NOUN
brj-23809	26	14	tasks	task	NOUN
brj-23809	26	15	.	.	PUNCT
brj-23809	27	1	there	there	PRON
brj-23809	27	2	are	be	VERB
brj-23809	27	3	several	several	ADJ
brj-23809	27	4	types	type	NOUN
brj-23809	27	5	of	of	ADP
brj-23809	27	6	ml	ml	NOUN
brj-23809	27	7	,	,	PUNCT
brj-23809	27	8	including	include	VERB
brj-23809	27	9	supervised	supervised	ADJ
brj-23809	27	10	learning	learning	NOUN
brj-23809	27	11	,	,	PUNCT
brj-23809	27	12	unsupervised	unsupervised	ADJ
brj-23809	27	13	learning	learning	NOUN
brj-23809	27	14	,	,	PUNCT
brj-23809	27	15	semi	semi	ADJ
brj-23809	27	16	-	-	ADJ
brj-23809	27	17	supervised	supervised	ADJ
brj-23809	27	18	learning	learning	NOUN
brj-23809	27	19	,	,	PUNCT
brj-23809	27	20	and	and	CCONJ
brj-23809	27	21	reinforcement	reinforcement	NOUN
brj-23809	27	22	learning	learning	NOUN
brj-23809	27	23	.	.	PUNCT
brj-23809	28	1	in	in	ADP
brj-23809	28	2	supervised	supervised	ADJ
brj-23809	28	3	learning	learning	NOUN
brj-23809	28	4	,	,	PUNCT
brj-23809	28	5	algorithms	algorithm	NOUN
brj-23809	28	6	are	be	AUX
brj-23809	28	7	trained	train	VERB
brj-23809	28	8	on	on	ADP
brj-23809	28	9	labeled	label	VERB
brj-23809	28	10	data	datum	NOUN
brj-23809	28	11	,	,	PUNCT
brj-23809	28	12	meaning	mean	VERB
brj-23809	28	13	each	each	DET
brj-23809	28	14	item	item	NOUN
brj-23809	28	15	of	of	ADP
brj-23809	28	16	input	input	NOUN
brj-23809	28	17	data	datum	NOUN
brj-23809	28	18	has	have	VERB
brj-23809	28	19	a	a	DET
brj-23809	28	20	corresponding	corresponding	ADJ
brj-23809	28	21	output	output	NOUN
brj-23809	28	22	.	.	PUNCT
brj-23809	29	1	unsupervised	unsupervised	ADJ
brj-23809	29	2	learning	learning	NOUN
brj-23809	29	3	deals	deal	NOUN
brj-23809	29	4	with	with	ADP
brj-23809	29	5	unlabeled	unlabeled	ADJ
brj-23809	29	6	data	datum	NOUN
brj-23809	29	7	,	,	PUNCT
brj-23809	29	8	where	where	SCONJ
brj-23809	29	9	algorithms	algorithm	NOUN
brj-23809	29	10	need	need	VERB
brj-23809	29	11	to	to	PART
brj-23809	29	12	find	find	VERB
brj-23809	29	13	inherent	inherent	ADJ
brj-23809	29	14	patterns	pattern	NOUN
brj-23809	29	15	and	and	CCONJ
brj-23809	29	16	structures	structure	NOUN
brj-23809	29	17	within	within	ADP
brj-23809	29	18	the	the	DET
brj-23809	29	19	data	datum	NOUN
brj-23809	29	20	.	.	PUNCT
brj-23809	30	1	semi	semi	ADJ
brj-23809	30	2	-	-	ADJ
brj-23809	30	3	supervised	supervised	ADJ
brj-23809	30	4	learning	learning	NOUN
brj-23809	30	5	falls	fall	VERB
brj-23809	30	6	between	between	ADP
brj-23809	30	7	supervised	supervised	ADJ
brj-23809	30	8	and	and	CCONJ
brj-23809	30	9	unsupervised	unsupervised	ADJ
brj-23809	30	10	learning	learning	NOUN
brj-23809	30	11	,	,	PUNCT
brj-23809	30	12	using	use	VERB
brj-23809	30	13	a	a	DET
brj-23809	30	14	small	small	ADJ
brj-23809	30	15	amount	amount	NOUN
brj-23809	30	16	of	of	ADP
brj-23809	30	17	labeled	label	VERB
brj-23809	30	18	data	datum	NOUN
brj-23809	30	19	along	along	ADP
brj-23809	30	20	with	with	ADP
brj-23809	30	21	a	a	DET
brj-23809	30	22	large	large	ADJ
brj-23809	30	23	amount	amount	NOUN
brj-23809	30	24	of	of	ADP
brj-23809	30	25	unlabeled	unlabeled	ADJ
brj-23809	30	26	data	datum	NOUN
brj-23809	30	27	for	for	ADP
brj-23809	30	28	training	training	NOUN
brj-23809	30	29	.	.	PUNCT
brj-23809	31	1	reinforcement	reinforcement	NOUN
brj-23809	31	2	learning	learning	NOUN
brj-23809	31	3	,	,	PUNCT
brj-23809	31	4	on	on	ADP
brj-23809	31	5	the	the	DET
brj-23809	31	6	other	other	ADJ
brj-23809	31	7	hand	hand	NOUN
brj-23809	31	8	,	,	PUNCT
brj-23809	31	9	learns	learn	VERB
brj-23809	31	10	through	through	ADP
brj-23809	31	11	interaction	interaction	NOUN
brj-23809	31	12	with	with	ADP
brj-23809	31	13	the	the	DET
brj-23809	31	14	environment	environment	NOUN
brj-23809	31	15	,	,	PUNCT
brj-23809	31	16	where	where	SCONJ
brj-23809	31	17	algorithms	algorithm	NOUN
brj-23809	31	18	adjust	adjust	VERB
brj-23809	31	19	their	their	PRON
brj-23809	31	20	strategies	strategy	NOUN
brj-23809	31	21	based	base	VERB
brj-23809	31	22	on	on	ADP
brj-23809	31	23	feedback	feedback	NOUN
brj-23809	31	24	(	(	PUNCT
brj-23809	31	25	rewards	reward	NOUN
brj-23809	31	26	or	or	CCONJ
brj-23809	31	27	punishments	punishment	NOUN
brj-23809	31	28	)	)	PUNCT
brj-23809	31	29	to	to	PART
brj-23809	31	30	maximize	maximize	VERB
brj-23809	31	31	cumulative	cumulative	ADJ
brj-23809	31	32	rewards	reward	NOUN
brj-23809	31	33	.	.	PUNCT
brj-23809	32	1	forecasting	forecast	VERB
brj-23809	32	2	accurate	accurate	ADJ
brj-23809	32	3	supply	supply	NOUN
brj-23809	32	4	and	and	CCONJ
brj-23809	32	5	demand	demand	NOUN
brj-23809	32	6	forecasting	forecasting	NOUN
brj-23809	32	7	is	be	AUX
brj-23809	32	8	the	the	DET
brj-23809	32	9	cornerstone	cornerstone	NOUN
brj-23809	32	10	of	of	ADP
brj-23809	32	11	efficient	efficient	ADJ
brj-23809	32	12	bscm	bscm	NOUN
brj-23809	32	13	.	.	PUNCT
brj-23809	33	1	due	due	ADP
brj-23809	33	2	to	to	ADP
brj-23809	33	3	the	the	DET
brj-23809	33	4	seasonality	seasonality	NOUN
brj-23809	33	5	and	and	CCONJ
brj-23809	33	6	variability	variability	NOUN
brj-23809	33	7	of	of	ADP
brj-23809	33	8	biomass	biomass	NOUN
brj-23809	33	9	,	,	PUNCT
brj-23809	33	10	traditional	traditional	ADJ
brj-23809	33	11	empirical	empirical	ADJ
brj-23809	33	12	models	model	NOUN
brj-23809	33	13	often	often	ADV
brj-23809	33	14	struggle	struggle	VERB
brj-23809	33	15	to	to	PART
brj-23809	33	16	achieve	achieve	VERB
brj-23809	33	17	the	the	DET
brj-23809	33	18	desired	desire	VERB
brj-23809	33	19	results	result	NOUN
brj-23809	33	20	.	.	PUNCT
brj-23809	34	1	ml	ml	PROPN
brj-23809	34	2	models	model	NOUN
brj-23809	34	3	offer	offer	VERB
brj-23809	34	4	more	more	ADV
brj-23809	34	5	robust	robust	ADJ
brj-23809	34	6	solutions	solution	NOUN
brj-23809	34	7	.	.	PUNCT
brj-23809	35	1	these	these	DET
brj-23809	35	2	models	model	NOUN
brj-23809	35	3	analyze	analyze	VERB
brj-23809	35	4	historical	historical	ADJ
brj-23809	35	5	data	datum	NOUN
brj-23809	35	6	and	and	CCONJ
brj-23809	35	7	real	real	ADJ
brj-23809	35	8	-	-	PUNCT
brj-23809	35	9	time	time	NOUN
brj-23809	35	10	inputs	input	NOUN
brj-23809	35	11	to	to	PART
brj-23809	35	12	predict	predict	VERB
brj-23809	35	13	the	the	DET
brj-23809	35	14	availability	availability	NOUN
brj-23809	35	15	and	and	CCONJ
brj-23809	35	16	demand	demand	NOUN
brj-23809	35	17	of	of	ADP
brj-23809	35	18	biomass	biomass	NOUN
brj-23809	35	19	more	more	ADV
brj-23809	35	20	accurately	accurately	ADV
brj-23809	35	21	.	.	PUNCT
brj-23809	36	1	the	the	DET
brj-23809	36	2	improved	improve	VERB
brj-23809	36	3	prediction	prediction	NOUN
brj-23809	36	4	accuracy	accuracy	NOUN
brj-23809	36	5	enables	enable	VERB
brj-23809	36	6	biomass	biomass	NOUN
brj-23809	36	7	facilities	facility	NOUN
brj-23809	36	8	or	or	CCONJ
brj-23809	36	9	factories	factory	NOUN
brj-23809	36	10	to	to	PART
brj-23809	36	11	better	well	ADV
brj-23809	36	12	adjust	adjust	VERB
brj-23809	36	13	production	production	NOUN
brj-23809	36	14	plans	plan	NOUN
brj-23809	36	15	,	,	PUNCT
brj-23809	36	16	thereby	thereby	ADV
brj-23809	36	17	reducing	reduce	VERB
brj-23809	36	18	the	the	DET
brj-23809	36	19	risks	risk	NOUN
brj-23809	36	20	of	of	ADP
brj-23809	36	21	supply	supply	NOUN
brj-23809	36	22	shortages	shortage	NOUN
brj-23809	36	23	or	or	CCONJ
brj-23809	36	24	overproduction	overproduction	NOUN
brj-23809	36	25	.	.	PUNCT
brj-23809	37	1	additionally	additionally	ADV
brj-23809	37	2	,	,	PUNCT
brj-23809	37	3	ml	ml	ADP
brj-23809	37	4	models	model	NOUN
brj-23809	37	5	can	can	AUX
brj-23809	37	6	integrate	integrate	VERB
brj-23809	37	7	various	various	ADJ
brj-23809	37	8	environmental	environmental	ADJ
brj-23809	37	9	,	,	PUNCT
brj-23809	37	10	economic	economic	ADJ
brj-23809	37	11	,	,	PUNCT
brj-23809	37	12	and	and	CCONJ
brj-23809	37	13	social	social	ADJ
brj-23809	37	14	factors	factor	NOUN
brj-23809	37	15	,	,	PUNCT
brj-23809	37	16	such	such	ADJ
brj-23809	37	17	as	as	ADP
brj-23809	37	18	weather	weather	NOUN
brj-23809	37	19	conditions	condition	NOUN
brj-23809	37	20	,	,	PUNCT
brj-23809	37	21	market	market	NOUN
brj-23809	37	22	trends	trend	NOUN
brj-23809	37	23	,	,	PUNCT
brj-23809	37	24	and	and	CCONJ
brj-23809	37	25	population	population	NOUN
brj-23809	37	26	density	density	NOUN
brj-23809	37	27	,	,	PUNCT
brj-23809	37	28	that	that	PRON
brj-23809	37	29	significantly	significantly	ADV
brj-23809	37	30	influence	influence	VERB
brj-23809	37	31	the	the	DET
brj-23809	37	32	supply	supply	NOUN
brj-23809	37	33	and	and	CCONJ
brj-23809	37	34	demand	demand	NOUN
brj-23809	37	35	.	.	PUNCT
brj-23809	38	1	by	by	ADP
brj-23809	38	2	continuously	continuously	ADV
brj-23809	38	3	learning	learn	VERB
brj-23809	38	4	from	from	ADP
brj-23809	38	5	new	new	ADJ
brj-23809	38	6	data	datum	NOUN
brj-23809	38	7	,	,	PUNCT
brj-23809	38	8	these	these	DET
brj-23809	38	9	models	model	NOUN
brj-23809	38	10	can	can	AUX
brj-23809	38	11	adapt	adapt	VERB
brj-23809	38	12	to	to	ADP
brj-23809	38	13	changing	change	VERB
brj-23809	38	14	conditions	condition	NOUN
brj-23809	38	15	,	,	PUNCT
brj-23809	38	16	providing	provide	VERB
brj-23809	38	17	dynamic	dynamic	ADJ
brj-23809	38	18	and	and	CCONJ
brj-23809	38	19	reliable	reliable	ADJ
brj-23809	38	20	forecasts	forecast	NOUN
brj-23809	38	21	.	.	PUNCT
brj-23809	39	1	this	this	DET
brj-23809	39	2	adaptability	adaptability	NOUN
brj-23809	39	3	is	be	AUX
brj-23809	39	4	crucial	crucial	ADJ
brj-23809	39	5	for	for	ADP
brj-23809	39	6	the	the	DET
brj-23809	39	7	bioenergy	bioenergy	NOUN
brj-23809	39	8	and	and	CCONJ
brj-23809	39	9	bio	bio	NOUN
brj-23809	39	10	-	-	PUNCT
brj-23809	39	11	based	base	VERB
brj-23809	39	12	products	product	NOUN
brj-23809	39	13	industries	industry	NOUN
brj-23809	39	14	.	.	PUNCT
brj-23809	40	1	improved	improve	VERB
brj-23809	40	2	supply	supply	NOUN
brj-23809	40	3	and	and	CCONJ
brj-23809	40	4	demand	demand	NOUN
brj-23809	40	5	forecasting	forecast	VERB
brj-23809	40	6	not	not	PART
brj-23809	40	7	only	only	ADV
brj-23809	40	8	ensures	ensure	VERB
brj-23809	40	9	a	a	DET
brj-23809	40	10	stable	stable	ADJ
brj-23809	40	11	supply	supply	NOUN
brj-23809	40	12	of	of	ADP
brj-23809	40	13	raw	raw	ADJ
brj-23809	40	14	materials	material	NOUN
brj-23809	40	15	but	but	CCONJ
brj-23809	40	16	also	also	ADV
brj-23809	40	17	helps	helps	AUX
brj-23809	40	18	maintain	maintain	VERB
brj-23809	40	19	optimal	optimal	ADJ
brj-23809	40	20	inventory	inventory	NOUN
brj-23809	40	21	levels	level	NOUN
brj-23809	40	22	,	,	PUNCT
brj-23809	40	23	thereby	thereby	ADV
brj-23809	40	24	reducing	reduce	VERB
brj-23809	40	25	storage	storage	NOUN
brj-23809	40	26	costs	cost	NOUN
brj-23809	40	27	.	.	PUNCT
brj-23809	41	1	big	big	ADJ
brj-23809	41	2	data	datum	NOUN
brj-23809	41	3	from	from	ADP
brj-23809	41	4	various	various	ADJ
brj-23809	41	5	stages	stage	NOUN
brj-23809	41	6	of	of	ADP
brj-23809	41	7	the	the	DET
brj-23809	41	8	biomass	biomass	NOUN
brj-23809	41	9	supply	supply	NOUN
brj-23809	41	10	chain	chain	NOUN
brj-23809	41	11	provides	provide	VERB
brj-23809	41	12	inputs	input	NOUN
brj-23809	41	13	for	for	ADP
brj-23809	41	14	training	training	NOUN
brj-23809	41	15	ml	ml	NOUN
brj-23809	41	16	models	model	NOUN
brj-23809	41	17	.	.	PUNCT
brj-23809	42	1	traditionally	traditionally	ADV
brj-23809	42	2	,	,	PUNCT
brj-23809	42	3	mathematical	mathematical	ADJ
brj-23809	42	4	programming	programming	NOUN
brj-23809	42	5	methods	method	NOUN
brj-23809	42	6	have	have	AUX
brj-23809	42	7	been	be	AUX
brj-23809	42	8	used	use	VERB
brj-23809	42	9	to	to	PART
brj-23809	42	10	solve	solve	VERB
brj-23809	42	11	decision	decision	NOUN
brj-23809	42	12	-	-	PUNCT
brj-23809	42	13	making	make	VERB
brj-23809	42	14	problems	problem	NOUN
brj-23809	42	15	in	in	ADP
brj-23809	42	16	bscm	bscm	PROPN
brj-23809	42	17	,	,	PUNCT
brj-23809	42	18	especially	especially	ADV
brj-23809	42	19	mixed	mix	VERB
brj-23809	42	20	-	-	PUNCT
brj-23809	42	21	integer	integer	NOUN
brj-23809	42	22	linear	linear	PROPN
brj-23809	42	23	programming	programming	NOUN
brj-23809	42	24	,	,	PUNCT
brj-23809	42	25	through	through	ADP
brj-23809	42	26	single	single	ADJ
brj-23809	42	27	-	-	PUNCT
brj-23809	42	28	objective	objective	ADJ
brj-23809	42	29	optimization	optimization	NOUN
brj-23809	42	30	.	.	PUNCT
brj-23809	43	1	however	however	ADV
brj-23809	43	2	,	,	PUNCT
brj-23809	43	3	as	as	SCONJ
brj-23809	43	4	the	the	DET
brj-23809	43	5	number	number	NOUN
brj-23809	43	6	of	of	ADP
brj-23809	43	7	variables	variable	NOUN
brj-23809	43	8	,	,	PUNCT
brj-23809	43	9	objectives	objective	NOUN
brj-23809	43	10	,	,	PUNCT
brj-23809	43	11	and	and	CCONJ
brj-23809	43	12	constraints	constraint	VERB
brj-23809	43	13	increases	increase	NOUN
brj-23809	43	14	,	,	PUNCT
brj-23809	43	15	mathematical	mathematical	ADJ
brj-23809	43	16	programming	programming	NOUN
brj-23809	43	17	struggles	struggle	NOUN
brj-23809	43	18	to	to	PART
brj-23809	43	19	deal	deal	VERB
brj-23809	43	20	with	with	ADP
brj-23809	43	21	the	the	DET
brj-23809	43	22	complexity	complexity	NOUN
brj-23809	43	23	of	of	ADP
brj-23809	43	24	the	the	DET
brj-23809	43	25	model	model	NOUN
brj-23809	43	26	and	and	CCONJ
brj-23809	43	27	the	the	DET
brj-23809	43	28	exponential	exponential	ADJ
brj-23809	43	29	growth	growth	NOUN
brj-23809	43	30	of	of	ADP
brj-23809	43	31	alternative	alternative	ADJ
brj-23809	43	32	solutions	solution	NOUN
brj-23809	43	33	,	,	PUNCT
brj-23809	43	34	making	make	VERB
brj-23809	43	35	it	it	PRON
brj-23809	43	36	difficult	difficult	ADJ
brj-23809	43	37	to	to	PART
brj-23809	43	38	solve	solve	VERB
brj-23809	43	39	large	large	ADJ
brj-23809	43	40	-	-	PUNCT
brj-23809	43	41	scale	scale	NOUN
brj-23809	43	42	and	and	CCONJ
brj-23809	43	43	real	real	ADJ
brj-23809	43	44	-	-	PUNCT
brj-23809	43	45	time	time	NOUN
brj-23809	43	46	problems	problem	NOUN
brj-23809	43	47	.	.	PUNCT
brj-23809	44	1	currently	currently	ADV
brj-23809	44	2	,	,	PUNCT
brj-23809	44	3	reinforcement	reinforcement	NOUN
brj-23809	44	4	learning	learning	NOUN
brj-23809	44	5	has	have	AUX
brj-23809	44	6	been	be	AUX
brj-23809	44	7	proposed	propose	VERB
brj-23809	44	8	to	to	PART
brj-23809	44	9	address	address	VERB
brj-23809	44	10	real	real	ADJ
brj-23809	44	11	-	-	PUNCT
brj-23809	44	12	time	time	NOUN
brj-23809	44	13	online	online	ADJ
brj-23809	44	14	scheduling	scheduling	NOUN
brj-23809	44	15	problems	problem	NOUN
brj-23809	44	16	.	.	PUNCT
brj-23809	45	1	reinforcement	reinforcement	NOUN
brj-23809	45	2	learning	learning	NOUN
brj-23809	45	3	can	can	AUX
brj-23809	45	4	handle	handle	VERB
brj-23809	45	5	many	many	ADJ
brj-23809	45	6	constraints	constraint	NOUN
brj-23809	45	7	through	through	ADP
brj-23809	45	8	penalty	penalty	NOUN
brj-23809	45	9	functions	function	NOUN
brj-23809	45	10	,	,	PUNCT
brj-23809	45	11	demonstrating	demonstrate	VERB
brj-23809	45	12	strength	strength	NOUN
brj-23809	45	13	superior	superior	ADJ
brj-23809	45	14	to	to	ADP
brj-23809	45	15	traditional	traditional	ADJ
brj-23809	45	16	methods	method	NOUN
brj-23809	45	17	.	.	PUNCT
brj-23809	46	1	in	in	ADP
brj-23809	46	2	addition	addition	NOUN
brj-23809	46	3	,	,	PUNCT
brj-23809	46	4	as	as	SCONJ
brj-23809	46	5	ml	ml	NOUN
brj-23809	46	6	focuses	focus	VERB
brj-23809	46	7	on	on	ADP
brj-23809	46	8	classification	classification	NOUN
brj-23809	46	9	and	and	CCONJ
brj-23809	46	10	regression	regression	NOUN
brj-23809	46	11	,	,	PUNCT
brj-23809	46	12	it	it	PRON
brj-23809	46	13	can	can	AUX
brj-23809	46	14	also	also	ADV
brj-23809	46	15	simplify	simplify	VERB
brj-23809	46	16	optimization	optimization	NOUN
brj-23809	46	17	models	model	NOUN
brj-23809	46	18	through	through	ADP
brj-23809	46	19	variable	variable	ADJ
brj-23809	46	20	classification	classification	NOUN
brj-23809	46	21	and	and	CCONJ
brj-23809	46	22	parameter	parameter	NOUN
brj-23809	46	23	prediction	prediction	NOUN
brj-23809	46	24	.	.	PUNCT
brj-23809	47	1	for	for	ADP
brj-23809	47	2	example	example	NOUN
brj-23809	47	3	,	,	PUNCT
brj-23809	47	4	using	use	VERB
brj-23809	47	5	decision	decision	NOUN
brj-23809	47	6	tree	tree	NOUN
brj-23809	47	7	algorithms	algorithm	NOUN
brj-23809	47	8	to	to	PART
brj-23809	47	9	classify	classify	VERB
brj-23809	47	10	biomass	biomass	NOUN
brj-23809	47	11	feedstocks	feedstock	NOUN
brj-23809	47	12	,	,	PUNCT
brj-23809	47	13	employing	employ	VERB
brj-23809	47	14	support	support	NOUN
brj-23809	47	15	editorial	editorial	NOUN
brj-23809	47	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23809	47	17	wang	wang	PROPN
brj-23809	47	18	(	(	PUNCT
brj-23809	47	19	2024	2024	NUM
brj-23809	47	20	)	)	PUNCT
brj-23809	47	21	.	.	PUNCT
brj-23809	48	1	“	"	PUNCT
brj-23809	48	2	ml	ml	INTJ
brj-23809	48	3	for	for	ADP
brj-23809	48	4	biomass	biomass	NOUN
brj-23809	48	5	supply	supply	NOUN
brj-23809	48	6	chains	chain	NOUN
brj-23809	48	7	,	,	PUNCT
brj-23809	48	8	”	"	PUNCT
brj-23809	48	9	bioresources	bioresource	NOUN
brj-23809	48	10	19(4	19(4	NUM
brj-23809	48	11	)	)	PUNCT
brj-23809	48	12	,	,	PUNCT
brj-23809	48	13	6961	6961	NUM
brj-23809	48	14	-	-	SYM
brj-23809	48	15	6963	6963	NUM
brj-23809	48	16	.	.	PUNCT
brj-23809	49	1	6963	6963	NUM
brj-23809	49	2	vector	vector	NOUN
brj-23809	49	3	machines	machine	NOUN
brj-23809	49	4	to	to	PART
brj-23809	49	5	evaluate	evaluate	VERB
brj-23809	49	6	suppliers	supplier	NOUN
brj-23809	49	7	and	and	CCONJ
brj-23809	49	8	analyze	analyze	VERB
brj-23809	49	9	uncertainty	uncertainty	NOUN
brj-23809	49	10	,	,	PUNCT
brj-23809	49	11	and	and	CCONJ
brj-23809	49	12	using	use	VERB
brj-23809	49	13	decision	decision	NOUN
brj-23809	49	14	trees	tree	NOUN
brj-23809	49	15	and	and	CCONJ
brj-23809	49	16	logistic	logistic	ADJ
brj-23809	49	17	regression	regression	NOUN
brj-23809	49	18	to	to	PART
brj-23809	49	19	determine	determine	VERB
brj-23809	49	20	the	the	DET
brj-23809	49	21	optimal	optimal	ADJ
brj-23809	49	22	locations	location	NOUN
brj-23809	49	23	of	of	ADP
brj-23809	49	24	biomass	biomass	NOUN
brj-23809	49	25	and	and	CCONJ
brj-23809	49	26	bioproducts	bioproduct	VERB
brj-23809	49	27	facilities	facility	NOUN
brj-23809	49	28	.	.	PUNCT
brj-23809	50	1	ml	ml	PROPN
brj-23809	50	2	can	can	AUX
brj-23809	50	3	also	also	ADV
brj-23809	50	4	offer	offer	VERB
brj-23809	50	5	technical	technical	ADJ
brj-23809	50	6	support	support	NOUN
brj-23809	50	7	in	in	ADP
brj-23809	50	8	wood	wood	NOUN
brj-23809	50	9	and	and	CCONJ
brj-23809	50	10	biomass	biomass	NOUN
brj-23809	50	11	conversion	conversion	NOUN
brj-23809	50	12	processes	process	NOUN
brj-23809	50	13	,	,	PUNCT
brj-23809	50	14	including	include	VERB
brj-23809	50	15	pyrolysis	pyrolysis	NOUN
brj-23809	50	16	,	,	PUNCT
brj-23809	50	17	co	co	NOUN
brj-23809	50	18	-	-	NOUN
brj-23809	50	19	pyrolysis	pyrolysis	NOUN
brj-23809	50	20	,	,	PUNCT
brj-23809	50	21	torrefaction	torrefaction	NOUN
brj-23809	50	22	,	,	PUNCT
brj-23809	50	23	hydrothermal	hydrothermal	NOUN
brj-23809	50	24	liquefaction	liquefaction	NOUN
brj-23809	50	25	,	,	PUNCT
brj-23809	50	26	and	and	CCONJ
brj-23809	50	27	gasification	gasification	NOUN
brj-23809	50	28	.	.	PUNCT
brj-23809	51	1	by	by	ADP
brj-23809	51	2	monitoring	monitor	VERB
brj-23809	51	3	and	and	CCONJ
brj-23809	51	4	analyzing	analyze	VERB
brj-23809	51	5	various	various	ADJ
brj-23809	51	6	parameters	parameter	NOUN
brj-23809	51	7	throughout	throughout	ADP
brj-23809	51	8	production	production	NOUN
brj-23809	51	9	,	,	PUNCT
brj-23809	51	10	ml	ml	ADP
brj-23809	51	11	algorithms	algorithm	NOUN
brj-23809	51	12	can	can	AUX
brj-23809	51	13	optimize	optimize	VERB
brj-23809	51	14	operational	operational	ADJ
brj-23809	51	15	conditions	condition	NOUN
brj-23809	51	16	,	,	PUNCT
brj-23809	51	17	forecast	forecast	NOUN
brj-23809	51	18	product	product	NOUN
brj-23809	51	19	properties	property	NOUN
brj-23809	51	20	,	,	PUNCT
brj-23809	51	21	and	and	CCONJ
brj-23809	51	22	examine	examine	VERB
brj-23809	51	23	parameter	parameter	NOUN
brj-23809	51	24	impacts	impact	NOUN
brj-23809	51	25	.	.	PUNCT
brj-23809	52	1	for	for	ADP
brj-23809	52	2	instance	instance	NOUN
brj-23809	52	3	,	,	PUNCT
brj-23809	52	4	algorithms	algorithm	NOUN
brj-23809	52	5	such	such	ADJ
brj-23809	52	6	as	as	ADP
brj-23809	52	7	random	random	ADJ
brj-23809	52	8	forest	forest	NOUN
brj-23809	52	9	,	,	PUNCT
brj-23809	52	10	extreme	extreme	ADJ
brj-23809	52	11	gradient	gradient	NOUN
brj-23809	52	12	boosting	boosting	NOUN
brj-23809	52	13	,	,	PUNCT
brj-23809	52	14	and	and	CCONJ
brj-23809	52	15	neural	neural	ADJ
brj-23809	52	16	networks	network	NOUN
brj-23809	52	17	have	have	AUX
brj-23809	52	18	been	be	AUX
brj-23809	52	19	used	use	VERB
brj-23809	52	20	to	to	PART
brj-23809	52	21	predict	predict	VERB
brj-23809	52	22	biochar	biochar	NOUN
brj-23809	52	23	and	and	CCONJ
brj-23809	52	24	bio	bio	ADJ
brj-23809	52	25	-	-	ADJ
brj-23809	52	26	oil	oil	NOUN
brj-23809	52	27	yield	yield	NOUN
brj-23809	52	28	and	and	CCONJ
brj-23809	52	29	properties	property	NOUN
brj-23809	52	30	in	in	ADP
brj-23809	52	31	the	the	DET
brj-23809	52	32	aforementioned	aforementioned	ADJ
brj-23809	52	33	conversions	conversion	NOUN
brj-23809	52	34	,	,	PUNCT
brj-23809	52	35	as	as	ADV
brj-23809	52	36	well	well	ADV
brj-23809	52	37	as	as	ADP
brj-23809	52	38	the	the	DET
brj-23809	52	39	metal	metal	NOUN
brj-23809	52	40	adsorption	adsorption	NOUN
brj-23809	52	41	efficiency	efficiency	NOUN
brj-23809	52	42	of	of	ADP
brj-23809	52	43	biochar	biochar	NOUN
brj-23809	52	44	.	.	PUNCT
brj-23809	53	1	in	in	ADP
brj-23809	53	2	the	the	DET
brj-23809	53	3	pulp	pulp	NOUN
brj-23809	53	4	and	and	CCONJ
brj-23809	53	5	paper	paper	NOUN
brj-23809	53	6	industry	industry	NOUN
brj-23809	53	7	,	,	PUNCT
brj-23809	53	8	ml	ml	PART
brj-23809	53	9	technology	technology	NOUN
brj-23809	53	10	proves	prove	VERB
brj-23809	53	11	highly	highly	ADV
brj-23809	53	12	advantageous	advantageous	ADJ
brj-23809	53	13	.	.	PUNCT
brj-23809	54	1	through	through	ADP
brj-23809	54	2	the	the	DET
brj-23809	54	3	analysis	analysis	NOUN
brj-23809	54	4	of	of	ADP
brj-23809	54	5	biomass	biomass	NOUN
brj-23809	54	6	raw	raw	ADJ
brj-23809	54	7	material	material	NOUN
brj-23809	54	8	characteristics	characteristic	NOUN
brj-23809	54	9	and	and	CCONJ
brj-23809	54	10	papermaking	papermaking	NOUN
brj-23809	54	11	process	process	NOUN
brj-23809	54	12	parameters	parameter	NOUN
brj-23809	54	13	,	,	PUNCT
brj-23809	54	14	ml	ml	AUX
brj-23809	54	15	can	can	AUX
brj-23809	54	16	optimize	optimize	VERB
brj-23809	54	17	manufacturing	manufacturing	NOUN
brj-23809	54	18	processes	process	NOUN
brj-23809	54	19	,	,	PUNCT
brj-23809	54	20	reduce	reduce	VERB
brj-23809	54	21	energy	energy	NOUN
brj-23809	54	22	and	and	CCONJ
brj-23809	54	23	water	water	NOUN
brj-23809	54	24	consumption	consumption	NOUN
brj-23809	54	25	,	,	PUNCT
brj-23809	54	26	and	and	CCONJ
brj-23809	54	27	elevate	elevate	VERB
brj-23809	54	28	paper	paper	NOUN
brj-23809	54	29	quality	quality	NOUN
brj-23809	54	30	and	and	CCONJ
brj-23809	54	31	production	production	NOUN
brj-23809	54	32	efficiency	efficiency	NOUN
brj-23809	54	33	.	.	PUNCT
brj-23809	55	1	for	for	ADP
brj-23809	55	2	instance	instance	NOUN
brj-23809	55	3	,	,	PUNCT
brj-23809	55	4	algorithms	algorithm	NOUN
brj-23809	55	5	can	can	AUX
brj-23809	55	6	adjust	adjust	VERB
brj-23809	55	7	the	the	DET
brj-23809	55	8	process	process	NOUN
brj-23809	55	9	parameters	parameter	NOUN
brj-23809	55	10	of	of	ADP
brj-23809	55	11	pulping	pulp	VERB
brj-23809	55	12	and	and	CCONJ
brj-23809	55	13	papermaking	papermaking	NOUN
brj-23809	55	14	based	base	VERB
brj-23809	55	15	on	on	ADP
brj-23809	55	16	the	the	DET
brj-23809	55	17	characteristics	characteristic	NOUN
brj-23809	55	18	of	of	ADP
brj-23809	55	19	biomass	biomass	NOUN
brj-23809	55	20	fibers	fiber	NOUN
brj-23809	55	21	to	to	PART
brj-23809	55	22	produce	produce	VERB
brj-23809	55	23	high	high	ADJ
brj-23809	55	24	-	-	PUNCT
brj-23809	55	25	quality	quality	NOUN
brj-23809	55	26	and	and	CCONJ
brj-23809	55	27	more	more	ADV
brj-23809	55	28	efficient	efficient	ADJ
brj-23809	55	29	paper	paper	NOUN
brj-23809	55	30	products	product	NOUN
brj-23809	55	31	.	.	PUNCT
brj-23809	56	1	challenges	challenge	NOUN
brj-23809	56	2	while	while	SCONJ
brj-23809	56	3	ml	ml	ADV
brj-23809	56	4	has	have	VERB
brj-23809	56	5	significant	significant	ADJ
brj-23809	56	6	potential	potential	NOUN
brj-23809	56	7	for	for	ADP
brj-23809	56	8	application	application	NOUN
brj-23809	56	9	in	in	ADP
brj-23809	56	10	bscm	bscm	NOUN
brj-23809	56	11	,	,	PUNCT
brj-23809	56	12	it	it	PRON
brj-23809	56	13	also	also	ADV
brj-23809	56	14	faces	face	VERB
brj-23809	56	15	several	several	ADJ
brj-23809	56	16	challenges	challenge	NOUN
brj-23809	56	17	,	,	PUNCT
brj-23809	56	18	primarily	primarily	ADV
brj-23809	56	19	related	relate	VERB
brj-23809	56	20	to	to	ADP
brj-23809	56	21	data	datum	NOUN
brj-23809	56	22	availability	availability	NOUN
brj-23809	56	23	and	and	CCONJ
brj-23809	56	24	quality	quality	NOUN
brj-23809	56	25	.	.	PUNCT
brj-23809	57	1	the	the	DET
brj-23809	57	2	biomass	biomass	NOUN
brj-23809	57	3	supply	supply	NOUN
brj-23809	57	4	chain	chain	NOUN
brj-23809	57	5	encompasses	encompass	VERB
brj-23809	57	6	multiple	multiple	ADJ
brj-23809	57	7	stages	stage	NOUN
brj-23809	57	8	and	and	CCONJ
brj-23809	57	9	stakeholders	stakeholder	NOUN
brj-23809	57	10	,	,	PUNCT
brj-23809	57	11	leading	lead	VERB
brj-23809	57	12	to	to	ADP
brj-23809	57	13	diverse	diverse	VERB
brj-23809	57	14	and	and	CCONJ
brj-23809	57	15	uneven	uneven	ADJ
brj-23809	57	16	data	datum	NOUN
brj-23809	57	17	sources	source	NOUN
brj-23809	57	18	.	.	PUNCT
brj-23809	58	1	raw	raw	ADJ
brj-23809	58	2	data	datum	NOUN
brj-23809	58	3	may	may	AUX
brj-23809	58	4	be	be	AUX
brj-23809	58	5	incomplete	incomplete	ADJ
brj-23809	58	6	,	,	PUNCT
brj-23809	58	7	erroneous	erroneous	ADJ
brj-23809	58	8	,	,	PUNCT
brj-23809	58	9	or	or	CCONJ
brj-23809	58	10	inconsistent	inconsistent	NOUN
brj-23809	58	11	,	,	PUNCT
brj-23809	58	12	which	which	PRON
brj-23809	58	13	can	can	AUX
brj-23809	58	14	result	result	VERB
brj-23809	58	15	in	in	ADP
brj-23809	58	16	inaccurate	inaccurate	ADJ
brj-23809	58	17	training	training	NOUN
brj-23809	58	18	and	and	CCONJ
brj-23809	58	19	prediction	prediction	NOUN
brj-23809	58	20	outcomes	outcome	NOUN
brj-23809	58	21	.	.	PUNCT
brj-23809	59	1	data	datum	NOUN
brj-23809	59	2	integration	integration	NOUN
brj-23809	59	3	and	and	CCONJ
brj-23809	59	4	consolidation	consolidation	NOUN
brj-23809	59	5	are	be	AUX
brj-23809	59	6	also	also	ADV
brj-23809	59	7	complex	complex	ADJ
brj-23809	59	8	issues	issue	NOUN
brj-23809	59	9	because	because	SCONJ
brj-23809	59	10	data	datum	NOUN
brj-23809	59	11	are	be	AUX
brj-23809	59	12	often	often	ADV
brj-23809	59	13	dispersed	disperse	VERB
brj-23809	59	14	across	across	ADP
brj-23809	59	15	different	different	ADJ
brj-23809	59	16	systems	system	NOUN
brj-23809	59	17	and	and	CCONJ
brj-23809	59	18	platforms	platform	NOUN
brj-23809	59	19	.	.	PUNCT
brj-23809	60	1	in	in	ADP
brj-23809	60	2	bscm	bscm	NOUN
brj-23809	60	3	,	,	PUNCT
brj-23809	60	4	decisions	decision	NOUN
brj-23809	60	5	often	often	ADV
brj-23809	60	6	involve	involve	VERB
brj-23809	60	7	multiple	multiple	ADJ
brj-23809	60	8	factors	factor	NOUN
brj-23809	60	9	and	and	CCONJ
brj-23809	60	10	stakeholders	stakeholder	NOUN
brj-23809	60	11	.	.	PUNCT
brj-23809	61	1	some	some	DET
brj-23809	61	2	deep	deep	ADJ
brj-23809	61	3	learning	learning	NOUN
brj-23809	61	4	models	model	NOUN
brj-23809	61	5	may	may	AUX
brj-23809	61	6	lack	lack	VERB
brj-23809	61	7	interpretability	interpretability	NOUN
brj-23809	61	8	,	,	PUNCT
brj-23809	61	9	affecting	affect	VERB
brj-23809	61	10	understanding	understanding	NOUN
brj-23809	61	11	and	and	CCONJ
brj-23809	61	12	trust	trust	NOUN
brj-23809	61	13	in	in	ADP
brj-23809	61	14	decision	decision	NOUN
brj-23809	61	15	-	-	PUNCT
brj-23809	61	16	making	making	NOUN
brj-23809	61	17	.	.	PUNCT
brj-23809	62	1	additionally	additionally	ADV
brj-23809	62	2	,	,	PUNCT
brj-23809	62	3	bscm	bscm	PROPN
brj-23809	62	4	involves	involve	VERB
brj-23809	62	5	various	various	ADJ
brj-23809	62	6	scenarios	scenario	NOUN
brj-23809	62	7	across	across	ADP
brj-23809	62	8	different	different	ADJ
brj-23809	62	9	regions	region	NOUN
brj-23809	62	10	,	,	PUNCT
brj-23809	62	11	times	time	NOUN
brj-23809	62	12	,	,	PUNCT
brj-23809	62	13	and	and	CCONJ
brj-23809	62	14	environments	environment	NOUN
brj-23809	62	15	.	.	PUNCT
brj-23809	63	1	ml	ml	NOUN
brj-23809	63	2	models	model	NOUN
brj-23809	63	3	must	must	AUX
brj-23809	63	4	have	have	VERB
brj-23809	63	5	strong	strong	ADJ
brj-23809	63	6	generalization	generalization	NOUN
brj-23809	63	7	capabilities	capability	NOUN
brj-23809	63	8	to	to	PART
brj-23809	63	9	adapt	adapt	VERB
brj-23809	63	10	to	to	ADP
brj-23809	63	11	new	new	ADJ
brj-23809	63	12	data	datum	NOUN
brj-23809	63	13	and	and	CCONJ
brj-23809	63	14	scenarios	scenario	NOUN
brj-23809	63	15	.	.	PUNCT
brj-23809	64	1	however	however	ADV
brj-23809	64	2	,	,	PUNCT
brj-23809	64	3	if	if	SCONJ
brj-23809	64	4	a	a	DET
brj-23809	64	5	model	model	NOUN
brj-23809	64	6	overfits	overfit	VERB
brj-23809	64	7	the	the	DET
brj-23809	64	8	data	datum	NOUN
brj-23809	64	9	,	,	PUNCT
brj-23809	64	10	it	it	PRON
brj-23809	64	11	may	may	AUX
brj-23809	64	12	lack	lack	VERB
brj-23809	64	13	the	the	DET
brj-23809	64	14	necessary	necessary	ADJ
brj-23809	64	15	generalization	generalization	NOUN
brj-23809	64	16	ability	ability	NOUN
brj-23809	64	17	and	and	CCONJ
brj-23809	64	18	fail	fail	VERB
brj-23809	64	19	to	to	PART
brj-23809	64	20	accurately	accurately	ADV
brj-23809	64	21	apply	apply	VERB
brj-23809	64	22	to	to	ADP
brj-23809	64	23	new	new	ADJ
brj-23809	64	24	situations	situation	NOUN
brj-23809	64	25	.	.	PUNCT
brj-23809	65	1	addressing	address	VERB
brj-23809	65	2	these	these	DET
brj-23809	65	3	challenges	challenge	NOUN
brj-23809	65	4	requires	require	VERB
brj-23809	65	5	interdisciplinary	interdisciplinary	ADJ
brj-23809	65	6	collaboration	collaboration	NOUN
brj-23809	65	7	and	and	CCONJ
brj-23809	65	8	innovation	innovation	NOUN
brj-23809	65	9	,	,	PUNCT
brj-23809	65	10	including	include	VERB
brj-23809	65	11	efforts	effort	NOUN
brj-23809	65	12	in	in	ADP
brj-23809	65	13	data	datum	NOUN
brj-23809	65	14	management	management	NOUN
brj-23809	65	15	,	,	PUNCT
brj-23809	65	16	quality	quality	NOUN
brj-23809	65	17	control	control	NOUN
brj-23809	65	18	,	,	PUNCT
brj-23809	65	19	and	and	CCONJ
brj-23809	65	20	model	model	NOUN
brj-23809	65	21	development	development	NOUN
brj-23809	65	22	.	.	PUNCT