id	sid	tid	token	lemma	pos
brj-22315	1	1	peer	peer	NOUN
brj-22315	1	2	-	-	PUNCT
brj-22315	1	3	review	review	NOUN
brj-22315	1	4	article	article	NOUN
brj-22315	1	5	peer	peer	NOUN
brj-22315	1	6	-	-	PUNCT
brj-22315	1	7	reviewed	review	VERB
brj-22315	1	8	article	article	NOUN
brj-22315	1	9	bioresources.com	bioresources.com	X
brj-22315	1	10	jiang	jiang	PROPN
brj-22315	1	11	et	et	PROPN
brj-22315	1	12	al	al	PROPN
brj-22315	1	13	.	.	PROPN
brj-22315	1	14	(	(	PUNCT
brj-22315	1	15	2023	2023	NUM
brj-22315	1	16	)	)	PUNCT
brj-22315	1	17	.	.	PUNCT
brj-22315	2	1	“	"	PUNCT
brj-22315	2	2	non	non	ADJ
brj-22315	2	3	-	-	ADJ
brj-22315	2	4	destructive	destructive	ADJ
brj-22315	2	5	wood	wood	NOUN
brj-22315	2	6	testing	testing	NOUN
brj-22315	2	7	,	,	PUNCT
brj-22315	2	8	”	"	PUNCT
brj-22315	2	9	bioresources	bioresource	NOUN
brj-22315	2	10	18(2	18(2	NUM
brj-22315	2	11	)	)	PUNCT
brj-22315	2	12	,	,	PUNCT
brj-22315	2	13	3620	3620	NUM
brj-22315	2	14	-	-	SYM
brj-22315	2	15	3641	3641	NUM
brj-22315	2	16	.	.	PUNCT
brj-22315	3	1	3620	3620	NUM
brj-22315	3	2	non	non	ADJ
brj-22315	3	3	-	-	ADJ
brj-22315	3	4	destructive	destructive	ADJ
brj-22315	3	5	testing	testing	NOUN
brj-22315	3	6	of	of	ADP
brj-22315	3	7	mechanical	mechanical	ADJ
brj-22315	3	8	properties	property	NOUN
brj-22315	3	9	of	of	ADP
brj-22315	3	10	solid	solid	ADJ
brj-22315	3	11	wood	wood	NOUN
brj-22315	3	12	panel	panel	NOUN
brj-22315	3	13	based	base	VERB
brj-22315	3	14	on	on	ADP
brj-22315	3	15	partial	partial	ADJ
brj-22315	3	16	least	least	ADJ
brj-22315	3	17	squares	square	NOUN
brj-22315	3	18	structural	structural	ADJ
brj-22315	3	19	equation	equation	NOUN
brj-22315	3	20	modeling	modeling	NOUN
brj-22315	3	21	transfer	transfer	NOUN
brj-22315	3	22	method	method	NOUN
brj-22315	3	23	dapeng	dapeng	PROPN
brj-22315	3	24	jiang	jiang	PROPN
brj-22315	3	25	,	,	PUNCT
brj-22315	3	26	a	a	DET
brj-22315	3	27	yizhuo	yizhuo	PROPN
brj-22315	3	28	zhang	zhang	PROPN
brj-22315	3	29	,	,	PUNCT
brj-22315	3	30	a	a	PRON
brj-22315	3	31	,	,	PUNCT
brj-22315	3	32	*	*	PUNCT
brj-22315	3	33	and	and	CCONJ
brj-22315	3	34	chen	chen	PROPN
brj-22315	3	35	jinhao	jinhao	PROPN
brj-22315	3	36	b	b	PROPN
brj-22315	3	37	calibration	calibration	NOUN
brj-22315	3	38	transfer	transfer	NOUN
brj-22315	3	39	between	between	ADP
brj-22315	3	40	near	near	ADJ
brj-22315	3	41	infrared	infrared	PROPN
brj-22315	3	42	(	(	PUNCT
brj-22315	3	43	nir	nir	NOUN
brj-22315	3	44	)	)	PUNCT
brj-22315	3	45	spectrometers	spectrometer	NOUN
brj-22315	3	46	is	be	AUX
brj-22315	3	47	a	a	DET
brj-22315	3	48	subtle	subtle	ADJ
brj-22315	3	49	issue	issue	NOUN
brj-22315	3	50	in	in	ADP
brj-22315	3	51	the	the	DET
brj-22315	3	52	chemometrics	chemometric	NOUN
brj-22315	3	53	and	and	CCONJ
brj-22315	3	54	process	process	NOUN
brj-22315	3	55	industry	industry	NOUN
brj-22315	3	56	.	.	PUNCT
brj-22315	4	1	similar	similar	ADJ
brj-22315	4	2	instruments	instrument	NOUN
brj-22315	4	3	may	may	AUX
brj-22315	4	4	generate	generate	VERB
brj-22315	4	5	strongly	strongly	ADV
brj-22315	4	6	different	different	ADJ
brj-22315	4	7	spectral	spectral	ADJ
brj-22315	4	8	responses	response	NOUN
brj-22315	4	9	,	,	PUNCT
brj-22315	4	10	and	and	CCONJ
brj-22315	4	11	regression	regression	NOUN
brj-22315	4	12	models	model	NOUN
brj-22315	4	13	developed	develop	VERB
brj-22315	4	14	on	on	ADP
brj-22315	4	15	a	a	DET
brj-22315	4	16	first	first	ADJ
brj-22315	4	17	nir	nir	ADJ
brj-22315	4	18	system	system	NOUN
brj-22315	4	19	can	can	AUX
brj-22315	4	20	rarely	rarely	ADV
brj-22315	4	21	be	be	AUX
brj-22315	4	22	used	use	VERB
brj-22315	4	23	with	with	ADP
brj-22315	4	24	spectra	spectra	NOUN
brj-22315	4	25	collected	collect	VERB
brj-22315	4	26	by	by	ADP
brj-22315	4	27	a	a	DET
brj-22315	4	28	second	second	ADJ
brj-22315	4	29	apparatus	apparatus	NOUN
brj-22315	4	30	.	.	PUNCT
brj-22315	5	1	in	in	ADP
brj-22315	5	2	this	this	DET
brj-22315	5	3	work	work	NOUN
brj-22315	5	4	,	,	PUNCT
brj-22315	5	5	two	two	NUM
brj-22315	5	6	novel	novel	ADJ
brj-22315	5	7	methods	method	NOUN
brj-22315	5	8	based	base	VERB
brj-22315	5	9	on	on	ADP
brj-22315	5	10	structural	structural	ADJ
brj-22315	5	11	equation	equation	NOUN
brj-22315	5	12	modeling	modeling	NOUN
brj-22315	5	13	(	(	PUNCT
brj-22315	5	14	sem	sem	NOUN
brj-22315	5	15	)	)	PUNCT
brj-22315	5	16	,	,	PUNCT
brj-22315	5	17	called	call	VERB
brj-22315	5	18	enhanced	enhanced	ADJ
brj-22315	5	19	feature	feature	NOUN
brj-22315	5	20	extraction	extraction	NOUN
brj-22315	5	21	approaches	approach	NOUN
brj-22315	5	22	for	for	ADP
brj-22315	5	23	factor	factor	NOUN
brj-22315	5	24	analysis	analysis	NOUN
brj-22315	5	25	(	(	PUNCT
brj-22315	5	26	efea	efea	PROPN
brj-22315	5	27	-	-	PUNCT
brj-22315	5	28	fa	fa	NOUN
brj-22315	5	29	)	)	PUNCT
brj-22315	5	30	and	and	CCONJ
brj-22315	5	31	enhanced	enhance	VERB
brj-22315	5	32	feature	feature	NOUN
brj-22315	5	33	extraction	extraction	NOUN
brj-22315	5	34	approaches	approach	NOUN
brj-22315	5	35	for	for	ADP
brj-22315	5	36	spectral	spectral	ADJ
brj-22315	5	37	space	space	NOUN
brj-22315	5	38	transformation	transformation	NOUN
brj-22315	5	39	(	(	PUNCT
brj-22315	5	40	efea	efea	PROPN
brj-22315	5	41	-	-	PUNCT
brj-22315	5	42	sst	sst	NOUN
brj-22315	5	43	)	)	PUNCT
brj-22315	5	44	,	,	PUNCT
brj-22315	5	45	were	be	AUX
brj-22315	5	46	proposed	propose	VERB
brj-22315	5	47	to	to	PART
brj-22315	5	48	perform	perform	VERB
brj-22315	5	49	calibration	calibration	NOUN
brj-22315	5	50	transfer	transfer	NOUN
brj-22315	5	51	between	between	ADP
brj-22315	5	52	nir	nir	ADJ
brj-22315	5	53	spectrometers	spectrometer	NOUN
brj-22315	5	54	.	.	PUNCT
brj-22315	6	1	they	they	PRON
brj-22315	6	2	were	be	AUX
brj-22315	6	3	applied	apply	VERB
brj-22315	6	4	to	to	ADP
brj-22315	6	5	a	a	DET
brj-22315	6	6	nir	nir	ADJ
brj-22315	6	7	nondestructive	nondestructive	ADJ
brj-22315	6	8	testing	testing	NOUN
brj-22315	6	9	model	model	NOUN
brj-22315	6	10	for	for	ADP
brj-22315	6	11	solid	solid	ADJ
brj-22315	6	12	wood	wood	NOUN
brj-22315	6	13	panels	panel	NOUN
brj-22315	6	14	mechanical	mechanical	ADJ
brj-22315	6	15	properties	property	NOUN
brj-22315	6	16	.	.	PUNCT
brj-22315	7	1	four	four	NUM
brj-22315	7	2	different	different	ADJ
brj-22315	7	3	standardization	standardization	NOUN
brj-22315	7	4	algorithms	algorithm	NOUN
brj-22315	7	5	were	be	AUX
brj-22315	7	6	evaluated	evaluate	VERB
brj-22315	7	7	for	for	ADP
brj-22315	7	8	transferring	transfer	VERB
brj-22315	7	9	solid	solid	ADJ
brj-22315	7	10	wood	wood	NOUN
brj-22315	7	11	panels	panel	NOUN
brj-22315	7	12	quality	quality	NOUN
brj-22315	7	13	databases	database	NOUN
brj-22315	7	14	between	between	ADP
brj-22315	7	15	a	a	DET
brj-22315	7	16	portable	portable	ADJ
brj-22315	7	17	nirs	nir	NOUN
brj-22315	7	18	(	(	PUNCT
brj-22315	7	19	ingaas)-array	ingaas)-array	ADJ
brj-22315	7	20	spectrometer	spectrometer	NOUN
brj-22315	7	21	(	(	PUNCT
brj-22315	7	22	nirquest512	nirquest512	PROPN
brj-22315	7	23	)	)	PUNCT
brj-22315	7	24	and	and	CCONJ
brj-22315	7	25	a	a	DET
brj-22315	7	26	hsi	hsi	PROPN
brj-22315	7	27	camera	camera	NOUN
brj-22315	7	28	(	(	PUNCT
brj-22315	7	29	specim	specim	PROPN
brj-22315	7	30	fx17	fx17	PROPN
brj-22315	7	31	)	)	PUNCT
brj-22315	7	32	.	.	PUNCT
brj-22315	8	1	the	the	DET
brj-22315	8	2	results	result	NOUN
brj-22315	8	3	showed	show	VERB
brj-22315	8	4	that	that	SCONJ
brj-22315	8	5	efea	efea	PROPN
brj-22315	8	6	-	-	PUNCT
brj-22315	8	7	sst	sst	NOUN
brj-22315	8	8	yielded	yield	VERB
brj-22315	8	9	the	the	DET
brj-22315	8	10	best	good	ADJ
brj-22315	8	11	model	model	NOUN
brj-22315	8	12	evaluation	evaluation	NOUN
brj-22315	8	13	metrics	metric	NOUN
brj-22315	8	14	(	(	PUNCT
brj-22315	8	15	r2	r2	NOUN
brj-22315	8	16	and	and	CCONJ
brj-22315	8	17	root	root	NOUN
brj-22315	8	18	mean	mean	ADJ
brj-22315	8	19	square	square	ADJ
brj-22315	8	20	error	error	NOUN
brj-22315	8	21	of	of	ADP
brj-22315	8	22	prediction	prediction	NOUN
brj-22315	8	23	(	(	PUNCT
brj-22315	8	24	rmsep	rmsep	NOUN
brj-22315	8	25	)	)	PUNCT
brj-22315	8	26	)	)	PUNCT
brj-22315	8	27	values	value	NOUN
brj-22315	8	28	for	for	ADP
brj-22315	8	29	tensile	tensile	NOUN
brj-22315	8	30	strength	strength	NOUN
brj-22315	8	31	(	(	PUNCT
brj-22315	8	32	rmsep=11.309	rmsep=11.309	NOUN
brj-22315	8	33	,	,	PUNCT
brj-22315	8	34	r2=0.865	r2=0.865	NUM
brj-22315	8	35	)	)	PUNCT
brj-22315	8	36	parameters	parameter	NOUN
brj-22315	8	37	,	,	PUNCT
brj-22315	8	38	while	while	SCONJ
brj-22315	8	39	efea	efea	X
brj-22315	8	40	-	-	PUNCT
brj-22315	8	41	fa	fa	NOUN
brj-22315	8	42	gave	give	VERB
brj-22315	8	43	the	the	DET
brj-22315	8	44	best	good	ADJ
brj-22315	8	45	fit	fit	NOUN
brj-22315	8	46	for	for	ADP
brj-22315	8	47	flexural	flexural	ADJ
brj-22315	8	48	strength	strength	NOUN
brj-22315	8	49	(	(	PUNCT
brj-22315	8	50	rmsep=10.653	rmsep=10.653	PROPN
brj-22315	8	51	,	,	PUNCT
brj-22315	8	52	r2=0	r2=0	PROPN
brj-22315	8	53	.	.	PUNCT
brj-22315	8	54	912	912	NUM
brj-22315	8	55	)	)	PUNCT
brj-22315	8	56	.	.	PUNCT
brj-22315	9	1	these	these	DET
brj-22315	9	2	results	result	NOUN
brj-22315	9	3	suggest	suggest	VERB
brj-22315	9	4	the	the	DET
brj-22315	9	5	potential	potential	NOUN
brj-22315	9	6	of	of	ADP
brj-22315	9	7	two	two	NUM
brj-22315	9	8	novel	novel	ADJ
brj-22315	9	9	quality	quality	NOUN
brj-22315	9	10	parameters	parameter	NOUN
brj-22315	9	11	prediction	prediction	NOUN
brj-22315	9	12	methods	method	NOUN
brj-22315	9	13	based	base	VERB
brj-22315	9	14	on	on	ADP
brj-22315	9	15	spectral	spectral	ADJ
brj-22315	9	16	databases	database	NOUN
brj-22315	9	17	transferred	transfer	VERB
brj-22315	9	18	between	between	ADP
brj-22315	9	19	diverse	diverse	ADJ
brj-22315	9	20	nirs	nirs	NOUN
brj-22315	9	21	spectrometers	spectrometer	NOUN
brj-22315	9	22	.	.	PUNCT
brj-22315	10	1	doi	doi	NOUN
brj-22315	10	2	:	:	PUNCT
brj-22315	10	3	10.15376	10.15376	NUM
brj-22315	10	4	/	/	SYM
brj-22315	10	5	biores.18.2.3620	biores.18.2.3620	NOUN
brj-22315	10	6	-	-	PUNCT
brj-22315	10	7	3641	3641	NUM
brj-22315	10	8	keywords	keyword	NOUN
brj-22315	10	9	:	:	PUNCT
brj-22315	10	10	solid	solid	ADJ
brj-22315	10	11	wood	wood	NOUN
brj-22315	10	12	panel	panel	NOUN
brj-22315	10	13	;	;	PUNCT
brj-22315	10	14	calibration	calibration	NOUN
brj-22315	10	15	transfer	transfer	NOUN
brj-22315	10	16	;	;	PUNCT
brj-22315	10	17	near	near	ADP
brj-22315	10	18	infrared	infrared	ADJ
brj-22315	10	19	;	;	PUNCT
brj-22315	10	20	hyperspectral	hyperspectral	ADJ
brj-22315	10	21	;	;	PUNCT
brj-22315	10	22	mechanical	mechanical	ADJ
brj-22315	10	23	property	property	NOUN
brj-22315	10	24	contact	contact	NOUN
brj-22315	10	25	information	information	NOUN
brj-22315	10	26	:	:	PUNCT
brj-22315	10	27	a	a	X
brj-22315	10	28	:	:	PUNCT
brj-22315	10	29	college	college	NOUN
brj-22315	10	30	of	of	ADP
brj-22315	10	31	computer	computer	NOUN
brj-22315	10	32	science	science	NOUN
brj-22315	10	33	and	and	CCONJ
brj-22315	10	34	artificial	artificial	ADJ
brj-22315	10	35	intelligence	intelligence	NOUN
brj-22315	10	36	,	,	PUNCT
brj-22315	10	37	changzhou	changzhou	PROPN
brj-22315	10	38	university	university	PROPN
brj-22315	10	39	,	,	PUNCT
brj-22315	10	40	1	1	NUM
brj-22315	10	41	gehu	gehu	PROPN
brj-22315	10	42	middle	middle	PROPN
brj-22315	10	43	rd	rd	PROPN
brj-22315	10	44	.	.	PROPN
brj-22315	10	45	,	,	PUNCT
brj-22315	10	46	changzhou	changzhou	PROPN
brj-22315	10	47	,	,	PUNCT
brj-22315	10	48	213164	213164	NUM
brj-22315	10	49	,	,	PUNCT
brj-22315	10	50	china	china	PROPN
brj-22315	10	51	;	;	PUNCT
brj-22315	10	52	b	b	X
brj-22315	10	53	:	:	PUNCT
brj-22315	10	54	college	college	NOUN
brj-22315	10	55	of	of	ADP
brj-22315	10	56	mechanical	mechanical	ADJ
brj-22315	10	57	and	and	CCONJ
brj-22315	10	58	electrical	electrical	ADJ
brj-22315	10	59	engineering	engineering	NOUN
brj-22315	10	60	,	,	PUNCT
brj-22315	10	61	northeast	northeast	ADJ
brj-22315	10	62	forestry	forestry	PROPN
brj-22315	10	63	university	university	NOUN
brj-22315	10	64	,	,	PUNCT
brj-22315	10	65	26	26	NUM
brj-22315	10	66	hexing	hex	VERB
brj-22315	10	67	rd	rd	PROPN
brj-22315	10	68	.	.	PROPN
brj-22315	10	69	,	,	PUNCT
brj-22315	10	70	harbin	harbin	PROPN
brj-22315	10	71	,	,	PUNCT
brj-22315	10	72	150040	150040	NUM
brj-22315	10	73	,	,	PUNCT
brj-22315	10	74	china	china	PROPN
brj-22315	10	75	;	;	PUNCT
brj-22315	10	76	*	*	PUNCT
brj-22315	10	77	corresponding	correspond	VERB
brj-22315	10	78	author	author	NOUN
brj-22315	10	79	:	:	PUNCT
brj-22315	10	80	nefuzyz@163.com	nefuzyz@163.com	DET
brj-22315	10	81	introduction	introduction	NOUN
brj-22315	10	82	the	the	DET
brj-22315	10	83	forest	forest	NOUN
brj-22315	10	84	products	product	NOUN
brj-22315	10	85	industry	industry	NOUN
brj-22315	10	86	utilizes	utilize	VERB
brj-22315	10	87	near	near	ADP
brj-22315	10	88	infrared	infrared	ADJ
brj-22315	10	89	spectroscopy	spectroscopy	NOUN
brj-22315	10	90	(	(	PUNCT
brj-22315	10	91	nirs	nir	NOUN
brj-22315	10	92	)	)	PUNCT
brj-22315	10	93	for	for	ADP
brj-22315	10	94	quantitative	quantitative	ADJ
brj-22315	10	95	examination	examination	NOUN
brj-22315	10	96	of	of	ADP
brj-22315	10	97	solid	solid	ADJ
brj-22315	10	98	wood	wood	NOUN
brj-22315	10	99	panels	panel	NOUN
brj-22315	10	100	,	,	PUNCT
brj-22315	10	101	such	such	ADJ
brj-22315	10	102	as	as	ADP
brj-22315	10	103	tensile	tensile	NOUN
brj-22315	10	104	strength	strength	NOUN
brj-22315	10	105	and	and	CCONJ
brj-22315	10	106	flexural	flexural	ADJ
brj-22315	10	107	strength	strength	NOUN
brj-22315	10	108	.	.	PUNCT
brj-22315	11	1	nirs	nirs	PROPN
brj-22315	11	2	offers	offer	VERB
brj-22315	11	3	just	just	ADV
brj-22315	11	4	the	the	DET
brj-22315	11	5	mean	mean	ADJ
brj-22315	11	6	spectrum	spectrum	NOUN
brj-22315	11	7	of	of	ADP
brj-22315	11	8	a	a	DET
brj-22315	11	9	sample	sample	NOUN
brj-22315	11	10	(	(	PUNCT
brj-22315	11	11	tuncer	tuncer	NOUN
brj-22315	11	12	2022	2022	NUM
brj-22315	11	13	)	)	PUNCT
brj-22315	11	14	,	,	PUNCT
brj-22315	11	15	regardless	regardless	ADV
brj-22315	11	16	of	of	ADP
brj-22315	11	17	the	the	DET
brj-22315	11	18	scanned	scan	VERB
brj-22315	11	19	area	area	NOUN
brj-22315	11	20	of	of	ADP
brj-22315	11	21	the	the	DET
brj-22315	11	22	sample	sample	NOUN
brj-22315	11	23	.	.	PUNCT
brj-22315	12	1	as	as	ADP
brj-22315	12	2	a	a	DET
brj-22315	12	3	result	result	NOUN
brj-22315	12	4	of	of	ADP
brj-22315	12	5	averaging	average	VERB
brj-22315	12	6	the	the	DET
brj-22315	12	7	gathered	gather	VERB
brj-22315	12	8	spectra	spectra	NOUN
brj-22315	12	9	to	to	PART
brj-22315	12	10	produce	produce	VERB
brj-22315	12	11	a	a	DET
brj-22315	12	12	single	single	ADJ
brj-22315	12	13	spectrum	spectrum	NOUN
brj-22315	12	14	,	,	PUNCT
brj-22315	12	15	information	information	NOUN
brj-22315	12	16	regarding	regard	VERB
brj-22315	12	17	the	the	DET
brj-22315	12	18	spatial	spatial	ADJ
brj-22315	12	19	distribution	distribution	NOUN
brj-22315	12	20	of	of	ADP
brj-22315	12	21	constituents	constituent	NOUN
brj-22315	12	22	inside	inside	ADP
brj-22315	12	23	the	the	DET
brj-22315	12	24	sample	sample	NOUN
brj-22315	12	25	is	be	AUX
brj-22315	12	26	lost	lose	VERB
brj-22315	12	27	.	.	PUNCT
brj-22315	13	1	the	the	DET
brj-22315	13	2	development	development	NOUN
brj-22315	13	3	of	of	ADP
brj-22315	13	4	nir	nir	ADJ
brj-22315	13	5	hyperspectral	hyperspectral	ADJ
brj-22315	13	6	imaging	imaging	NOUN
brj-22315	13	7	(	(	PUNCT
brj-22315	13	8	hsi	hsi	PROPN
brj-22315	13	9	)	)	PUNCT
brj-22315	13	10	,	,	PUNCT
brj-22315	13	11	combines	combine	VERB
brj-22315	13	12	nir	nir	ADJ
brj-22315	13	13	spectroscopy	spectroscopy	NOUN
brj-22315	13	14	with	with	ADP
brj-22315	13	15	digital	digital	ADJ
brj-22315	13	16	imaging	imaging	NOUN
brj-22315	13	17	(	(	PUNCT
brj-22315	13	18	lima	lima	PROPN
brj-22315	13	19	et	et	PROPN
brj-22315	13	20	al	al	PROPN
brj-22315	13	21	.	.	PROPN
brj-22315	13	22	2022	2022	NUM
brj-22315	13	23	;	;	PUNCT
brj-22315	13	24	yakubu	yakubu	PROPN
brj-22315	13	25	et	et	PROPN
brj-22315	13	26	al	al	PROPN
brj-22315	13	27	.	.	PROPN
brj-22315	13	28	2022	2022	NUM
brj-22315	13	29	)	)	PUNCT
brj-22315	13	30	.	.	PUNCT
brj-22315	14	1	for	for	ADP
brj-22315	14	2	each	each	DET
brj-22315	14	3	pixel	pixel	NOUN
brj-22315	14	4	in	in	ADP
brj-22315	14	5	the	the	DET
brj-22315	14	6	imaging	imaging	NOUN
brj-22315	14	7	plane	plane	NOUN
brj-22315	14	8	,	,	PUNCT
brj-22315	14	9	hyperspectral	hyperspectral	ADJ
brj-22315	14	10	pictures	picture	NOUN
brj-22315	14	11	can	can	AUX
brj-22315	14	12	be	be	AUX
brj-22315	14	13	collected	collect	VERB
brj-22315	14	14	spanning	span	VERB
brj-22315	14	15	the	the	DET
brj-22315	14	16	whole	whole	ADJ
brj-22315	14	17	visible	visible	ADJ
brj-22315	14	18	and	and	CCONJ
brj-22315	14	19	nir	nir	ADJ
brj-22315	14	20	wavelength	wavelength	NOUN
brj-22315	14	21	range	range	NOUN
brj-22315	14	22	of	of	ADP
brj-22315	14	23	a	a	DET
brj-22315	14	24	material	material	NOUN
brj-22315	14	25	(	(	PUNCT
brj-22315	14	26	vidal	vidal	NOUN
brj-22315	14	27	and	and	CCONJ
brj-22315	14	28	pasquini	pasquini	NOUN
brj-22315	14	29	2021	2021	NUM
brj-22315	14	30	)	)	PUNCT
brj-22315	14	31	.	.	PUNCT
brj-22315	15	1	consequently	consequently	ADV
brj-22315	15	2	,	,	PUNCT
brj-22315	15	3	using	use	VERB
brj-22315	15	4	this	this	DET
brj-22315	15	5	stack	stack	NOUN
brj-22315	15	6	of	of	ADP
brj-22315	15	7	wavelength	wavelength	NOUN
brj-22315	15	8	images	image	NOUN
brj-22315	15	9	or	or	CCONJ
brj-22315	15	10	spectral	spectral	ADJ
brj-22315	15	11	cube	cube	NOUN
brj-22315	15	12	,	,	PUNCT
brj-22315	15	13	the	the	DET
brj-22315	15	14	average	average	ADJ
brj-22315	15	15	intensity	intensity	NOUN
brj-22315	15	16	and	and	CCONJ
brj-22315	15	17	local	local	ADJ
brj-22315	15	18	changes	change	NOUN
brj-22315	15	19	of	of	ADP
brj-22315	15	20	the	the	DET
brj-22315	15	21	intensity	intensity	NOUN
brj-22315	15	22	pixels	pixel	NOUN
brj-22315	15	23	at	at	ADP
brj-22315	15	24	each	each	DET
brj-22315	15	25	spectral	spectral	ADJ
brj-22315	15	26	image	image	NOUN
brj-22315	15	27	may	may	AUX
brj-22315	15	28	be	be	AUX
brj-22315	15	29	analyzed	analyze	VERB
brj-22315	15	30	and	and	CCONJ
brj-22315	15	31	used	use	VERB
brj-22315	15	32	for	for	ADP
brj-22315	15	33	pattern	pattern	NOUN
brj-22315	15	34	identification	identification	NOUN
brj-22315	15	35	.	.	PUNCT
brj-22315	16	1	however	however	ADV
brj-22315	16	2	,	,	PUNCT
brj-22315	16	3	expensive	expensive	ADJ
brj-22315	16	4	and	and	CCONJ
brj-22315	16	5	specialized	specialized	ADJ
brj-22315	16	6	hardware	hardware	NOUN
brj-22315	16	7	is	be	AUX
brj-22315	16	8	required	require	VERB
brj-22315	16	9	to	to	PART
brj-22315	16	10	capture	capture	VERB
brj-22315	16	11	hyperspectral	hyperspectral	ADJ
brj-22315	16	12	images	image	NOUN
brj-22315	16	13	peer	peer	NOUN
brj-22315	16	14	-	-	PUNCT
brj-22315	16	15	reviewed	review	VERB
brj-22315	16	16	article	article	NOUN
brj-22315	16	17	bioresources.com	bioresources.com	X
brj-22315	16	18	jiang	jiang	PROPN
brj-22315	16	19	et	et	PROPN
brj-22315	16	20	al	al	PROPN
brj-22315	16	21	.	.	PROPN
brj-22315	17	1	(	(	PUNCT
brj-22315	17	2	2023	2023	NUM
brj-22315	17	3	)	)	PUNCT
brj-22315	17	4	.	.	PUNCT
brj-22315	18	1	“	"	PUNCT
brj-22315	18	2	non	non	ADJ
brj-22315	18	3	-	-	ADJ
brj-22315	18	4	destructive	destructive	ADJ
brj-22315	18	5	wood	wood	NOUN
brj-22315	18	6	testing	testing	NOUN
brj-22315	18	7	,	,	PUNCT
brj-22315	18	8	”	"	PUNCT
brj-22315	18	9	bioresources	bioresource	NOUN
brj-22315	18	10	18(2	18(2	NUM
brj-22315	18	11	)	)	PUNCT
brj-22315	18	12	,	,	PUNCT
brj-22315	18	13	3620	3620	NUM
brj-22315	18	14	-	-	SYM
brj-22315	18	15	3641	3641	NUM
brj-22315	18	16	.	.	PUNCT
brj-22315	19	1	3621	3621	NUM
brj-22315	19	2	(	(	PUNCT
brj-22315	19	3	nakawajana	nakawajana	PROPN
brj-22315	19	4	et	et	PROPN
brj-22315	19	5	al	al	PROPN
brj-22315	19	6	.	.	PROPN
brj-22315	19	7	2021	2021	NUM
brj-22315	19	8	;	;	PUNCT
brj-22315	19	9	tunny	tunny	PROPN
brj-22315	19	10	et	et	PROPN
brj-22315	19	11	al	al	PROPN
brj-22315	19	12	.	.	PROPN
brj-22315	19	13	2022	2022	NUM
brj-22315	19	14	)	)	PUNCT
brj-22315	19	15	.	.	PUNCT
brj-22315	20	1	in	in	ADP
brj-22315	20	2	general	general	ADJ
brj-22315	20	3	,	,	PUNCT
brj-22315	20	4	hyperspectrometers	hyperspectrometer	NOUN
brj-22315	20	5	with	with	ADP
brj-22315	20	6	somewhat	somewhat	ADV
brj-22315	20	7	higher	high	ADJ
brj-22315	20	8	resolution	resolution	NOUN
brj-22315	20	9	cost	cost	NOUN
brj-22315	20	10	over	over	ADP
brj-22315	20	11	a	a	DET
brj-22315	20	12	million	million	NUM
brj-22315	20	13	dollars	dollar	NOUN
brj-22315	20	14	.	.	PUNCT
brj-22315	21	1	to	to	PART
brj-22315	21	2	solve	solve	VERB
brj-22315	21	3	this	this	DET
brj-22315	21	4	problem	problem	NOUN
brj-22315	21	5	,	,	PUNCT
brj-22315	21	6	calibration	calibration	NOUN
brj-22315	21	7	transfer	transfer	NOUN
brj-22315	21	8	technology	technology	NOUN
brj-22315	21	9	strikes	strike	VERB
brj-22315	21	10	a	a	DET
brj-22315	21	11	balance	balance	NOUN
brj-22315	21	12	between	between	ADP
brj-22315	21	13	price	price	NOUN
brj-22315	21	14	and	and	CCONJ
brj-22315	21	15	resolution	resolution	NOUN
brj-22315	21	16	,	,	PUNCT
brj-22315	21	17	and	and	CCONJ
brj-22315	21	18	near	near	ADV
brj-22315	21	19	-	-	PUNCT
brj-22315	21	20	infrared	infrared	ADJ
brj-22315	21	21	spectrum	spectrum	NOUN
brj-22315	21	22	transfer	transfer	NOUN
brj-22315	21	23	technology	technology	NOUN
brj-22315	21	24	was	be	AUX
brj-22315	21	25	used	use	VERB
brj-22315	21	26	to	to	PART
brj-22315	21	27	transfer	transfer	VERB
brj-22315	21	28	the	the	DET
brj-22315	21	29	calibration	calibration	NOUN
brj-22315	21	30	model	model	NOUN
brj-22315	21	31	from	from	ADP
brj-22315	21	32	the	the	DET
brj-22315	21	33	highprecision	highprecision	NOUN
brj-22315	21	34	near	near	ADP
brj-22315	21	35	-	-	PUNCT
brj-22315	21	36	infrared	infrare	VERB
brj-22315	21	37	spectrometer	spectrometer	NOUN
brj-22315	21	38	equipment	equipment	NOUN
brj-22315	21	39	platform	platform	NOUN
brj-22315	21	40	in	in	ADP
brj-22315	21	41	the	the	DET
brj-22315	21	42	laboratory	laboratory	NOUN
brj-22315	21	43	to	to	ADP
brj-22315	21	44	the	the	DET
brj-22315	21	45	lowprecision	lowprecision	NOUN
brj-22315	21	46	hyperspectral	hyperspectral	ADJ
brj-22315	21	47	equipment	equipment	NOUN
brj-22315	21	48	(	(	PUNCT
brj-22315	21	49	wang	wang	PROPN
brj-22315	21	50	et	et	PROPN
brj-22315	21	51	al	al	PROPN
brj-22315	21	52	.	.	PROPN
brj-22315	21	53	2023	2023	NUM
brj-22315	21	54	)	)	PUNCT
brj-22315	21	55	.	.	PUNCT
brj-22315	22	1	a	a	DET
brj-22315	22	2	high	high	ADJ
brj-22315	22	3	-	-	PUNCT
brj-22315	22	4	precision	precision	NOUN
brj-22315	22	5	detection	detection	NOUN
brj-22315	22	6	model	model	NOUN
brj-22315	22	7	derived	derive	VERB
brj-22315	22	8	from	from	ADP
brj-22315	22	9	a	a	DET
brj-22315	22	10	laboratory	laboratory	NOUN
brj-22315	22	11	nir	nir	NOUN
brj-22315	22	12	spectrometer	spectrometer	NOUN
brj-22315	22	13	was	be	AUX
brj-22315	22	14	transferred	transfer	VERB
brj-22315	22	15	to	to	ADP
brj-22315	22	16	an	an	DET
brj-22315	22	17	industrial	industrial	ADJ
brj-22315	22	18	-	-	PUNCT
brj-22315	22	19	grade	grade	NOUN
brj-22315	22	20	online	online	ADJ
brj-22315	22	21	hsi	hsi	PROPN
brj-22315	22	22	spectrometer	spectrometer	NOUN
brj-22315	22	23	to	to	PART
brj-22315	22	24	improve	improve	VERB
brj-22315	22	25	the	the	DET
brj-22315	22	26	model	model	NOUN
brj-22315	22	27	’s	’s	PART
brj-22315	22	28	accuracy	accuracy	NOUN
brj-22315	22	29	and	and	CCONJ
brj-22315	22	30	reduce	reduce	VERB
brj-22315	22	31	the	the	DET
brj-22315	22	32	overhead	overhead	NOUN
brj-22315	22	33	of	of	ADP
brj-22315	22	34	the	the	DET
brj-22315	22	35	industrial	industrial	ADJ
brj-22315	22	36	pipeline	pipeline	NOUN
brj-22315	22	37	.	.	PUNCT
brj-22315	23	1	several	several	ADJ
brj-22315	23	2	standardisation	standardisation	NOUN
brj-22315	23	3	approaches	approach	NOUN
brj-22315	23	4	address	address	VERB
brj-22315	23	5	this	this	DET
brj-22315	23	6	crucial	crucial	ADJ
brj-22315	23	7	issue	issue	NOUN
brj-22315	23	8	and	and	CCONJ
brj-22315	23	9	permit	permit	VERB
brj-22315	23	10	the	the	DET
brj-22315	23	11	transfer	transfer	NOUN
brj-22315	23	12	of	of	ADP
brj-22315	23	13	calibration	calibration	NOUN
brj-22315	23	14	models	model	NOUN
brj-22315	23	15	(	(	PUNCT
brj-22315	23	16	x.	x.	NOUN
brj-22315	23	17	li	li	PROPN
brj-22315	23	18	et	et	PROPN
brj-22315	23	19	al	al	PROPN
brj-22315	23	20	.	.	PROPN
brj-22315	23	21	2021	2021	NUM
brj-22315	23	22	)	)	PUNCT
brj-22315	23	23	.	.	PUNCT
brj-22315	24	1	there	there	PRON
brj-22315	24	2	are	be	VERB
brj-22315	24	3	methods	method	NOUN
brj-22315	24	4	for	for	ADP
brj-22315	24	5	resolving	resolve	VERB
brj-22315	24	6	transfer	transfer	NOUN
brj-22315	24	7	problems	problem	NOUN
brj-22315	24	8	that	that	PRON
brj-22315	24	9	do	do	AUX
brj-22315	24	10	not	not	PART
brj-22315	24	11	require	require	VERB
brj-22315	24	12	standardization	standardization	NOUN
brj-22315	24	13	(	(	PUNCT
brj-22315	24	14	multiplicative	multiplicative	ADJ
brj-22315	24	15	scatter	scatter	NOUN
brj-22315	24	16	correction	correction	NOUN
brj-22315	24	17	(	(	PUNCT
brj-22315	24	18	msc	msc	PROPN
brj-22315	24	19	)	)	PUNCT
brj-22315	24	20	,	,	PUNCT
brj-22315	24	21	orthogonal	orthogonal	ADJ
brj-22315	24	22	signal	signal	NOUN
brj-22315	24	23	correction	correction	NOUN
brj-22315	24	24	(	(	PUNCT
brj-22315	24	25	osc	osc	PROPN
brj-22315	24	26	)	)	PUNCT
brj-22315	24	27	,	,	PUNCT
brj-22315	24	28	etc	etc	X
brj-22315	24	29	.	.	X
brj-22315	24	30	)	)	PUNCT
brj-22315	25	1	(	(	PUNCT
brj-22315	25	2	shan	shan	INTJ
brj-22315	25	3	et	et	PROPN
brj-22315	25	4	al	al	PROPN
brj-22315	25	5	.	.	PROPN
brj-22315	25	6	2020	2020	NUM
brj-22315	25	7	)	)	PUNCT
brj-22315	25	8	.	.	PUNCT
brj-22315	26	1	however	however	ADV
brj-22315	26	2	,	,	PUNCT
brj-22315	26	3	when	when	SCONJ
brj-22315	26	4	the	the	DET
brj-22315	26	5	issue	issue	NOUN
brj-22315	26	6	is	be	AUX
brj-22315	26	7	not	not	PART
brj-22315	26	8	caused	cause	VERB
brj-22315	26	9	by	by	ADP
brj-22315	26	10	spectral	spectral	ADJ
brj-22315	26	11	intensity	intensity	NOUN
brj-22315	26	12	variations	variation	NOUN
brj-22315	26	13	but	but	CCONJ
brj-22315	26	14	rather	rather	ADV
brj-22315	26	15	by	by	ADP
brj-22315	26	16	wavelength	wavelength	NOUN
brj-22315	26	17	shifts	shift	NOUN
brj-22315	26	18	,	,	PUNCT
brj-22315	26	19	various	various	ADJ
brj-22315	26	20	standardization	standardization	NOUN
brj-22315	26	21	approaches	approach	NOUN
brj-22315	26	22	might	might	AUX
brj-22315	26	23	be	be	AUX
brj-22315	26	24	utilized	utilize	VERB
brj-22315	26	25	.	.	PUNCT
brj-22315	27	1	according	accord	VERB
brj-22315	27	2	to	to	ADP
brj-22315	27	3	qiao	qiao	PROPN
brj-22315	27	4	et	et	PROPN
brj-22315	27	5	al	al	PROPN
brj-22315	27	6	.	.	PROPN
brj-22315	27	7	(	(	PUNCT
brj-22315	27	8	2021	2021	NUM
brj-22315	27	9	)	)	PUNCT
brj-22315	27	10	,	,	PUNCT
brj-22315	27	11	a	a	DET
brj-22315	27	12	calibration	calibration	NOUN
brj-22315	27	13	transfer	transfer	NOUN
brj-22315	27	14	can	can	AUX
brj-22315	27	15	be	be	AUX
brj-22315	27	16	performed	perform	VERB
brj-22315	27	17	in	in	ADP
brj-22315	27	18	a	a	DET
brj-22315	27	19	few	few	ADJ
brj-22315	27	20	ways	way	NOUN
brj-22315	27	21	:	:	PUNCT
brj-22315	27	22	a	a	DET
brj-22315	27	23	priori	priori	ADJ
brj-22315	27	24	correction	correction	NOUN
brj-22315	27	25	involves	involve	VERB
brj-22315	27	26	correcting	correct	VERB
brj-22315	27	27	the	the	DET
brj-22315	27	28	spectra	spectra	NOUN
brj-22315	27	29	prior	prior	ADV
brj-22315	27	30	to	to	ADP
brj-22315	27	31	applying	apply	VERB
brj-22315	27	32	the	the	DET
brj-22315	27	33	existing	exist	VERB
brj-22315	27	34	calibration	calibration	NOUN
brj-22315	27	35	model	model	NOUN
brj-22315	27	36	;	;	PUNCT
brj-22315	27	37	model	model	NOUN
brj-22315	27	38	correction	correction	NOUN
brj-22315	27	39	involves	involve	VERB
brj-22315	27	40	adapting	adapt	VERB
brj-22315	27	41	the	the	DET
brj-22315	27	42	calibration	calibration	NOUN
brj-22315	27	43	model	model	NOUN
brj-22315	27	44	;	;	PUNCT
brj-22315	27	45	and	and	CCONJ
brj-22315	27	46	a	a	DET
brj-22315	27	47	posteriori	posteriori	NOUN
brj-22315	27	48	correction	correction	NOUN
brj-22315	27	49	involves	involve	VERB
brj-22315	27	50	correcting	correct	VERB
brj-22315	27	51	the	the	DET
brj-22315	27	52	predictions	prediction	NOUN
brj-22315	27	53	of	of	ADP
brj-22315	27	54	the	the	DET
brj-22315	27	55	existing	exist	VERB
brj-22315	27	56	calibration	calibration	NOUN
brj-22315	27	57	model	model	NOUN
brj-22315	27	58	.	.	PUNCT
brj-22315	28	1	some	some	DET
brj-22315	28	2	modern	modern	ADJ
brj-22315	28	3	transfer	transfer	NOUN
brj-22315	28	4	techniques	technique	NOUN
brj-22315	28	5	are	be	AUX
brj-22315	28	6	based	base	VERB
brj-22315	28	7	on	on	ADP
brj-22315	28	8	factor	factor	NOUN
brj-22315	28	9	analysis	analysis	NOUN
brj-22315	28	10	,	,	PUNCT
brj-22315	28	11	which	which	PRON
brj-22315	28	12	separates	separate	VERB
brj-22315	28	13	spectral	spectral	ADJ
brj-22315	28	14	information	information	NOUN
brj-22315	28	15	related	relate	VERB
brj-22315	28	16	elements	element	NOUN
brj-22315	28	17	from	from	ADP
brj-22315	28	18	noise	noise	NOUN
brj-22315	28	19	to	to	PART
brj-22315	28	20	enhance	enhance	VERB
brj-22315	28	21	transfer	transfer	NOUN
brj-22315	28	22	outcomes	outcome	NOUN
brj-22315	28	23	.	.	PUNCT
brj-22315	29	1	in	in	ADP
brj-22315	29	2	the	the	DET
brj-22315	29	3	framework	framework	NOUN
brj-22315	29	4	of	of	ADP
brj-22315	29	5	transfer	transfer	NOUN
brj-22315	29	6	between	between	ADP
brj-22315	29	7	instruments	instrument	NOUN
brj-22315	29	8	,	,	PUNCT
brj-22315	29	9	a	a	DET
brj-22315	29	10	priori	priori	ADJ
brj-22315	29	11	correction	correction	NOUN
brj-22315	29	12	and	and	CCONJ
brj-22315	29	13	model	model	NOUN
brj-22315	29	14	correction	correction	NOUN
brj-22315	29	15	are	be	AUX
brj-22315	29	16	based	base	VERB
brj-22315	29	17	on	on	ADP
brj-22315	29	18	multivariate	multivariate	NOUN
brj-22315	29	19	spectrum	spectrum	NOUN
brj-22315	29	20	correction	correction	NOUN
brj-22315	29	21	.	.	PUNCT
brj-22315	30	1	in	in	ADP
brj-22315	30	2	the	the	DET
brj-22315	30	3	first	first	ADJ
brj-22315	30	4	mode	mode	NOUN
brj-22315	30	5	,	,	PUNCT
brj-22315	30	6	secondary	secondary	ADJ
brj-22315	30	7	spectra	spectra	NOUN
brj-22315	30	8	are	be	AUX
brj-22315	30	9	matched	match	VERB
brj-22315	30	10	to	to	ADP
brj-22315	30	11	primary	primary	ADJ
brj-22315	30	12	spectra	spectra	NOUN
brj-22315	30	13	and	and	CCONJ
brj-22315	30	14	entered	enter	VERB
brj-22315	30	15	the	the	DET
brj-22315	30	16	existing	exist	VERB
brj-22315	30	17	model	model	NOUN
brj-22315	30	18	.	.	PUNCT
brj-22315	31	1	in	in	ADP
brj-22315	31	2	the	the	DET
brj-22315	31	3	second	second	ADJ
brj-22315	31	4	mode	mode	NOUN
brj-22315	31	5	,	,	PUNCT
brj-22315	31	6	the	the	DET
brj-22315	31	7	spectra	spectra	NOUN
brj-22315	31	8	of	of	ADP
brj-22315	31	9	the	the	DET
brj-22315	31	10	primary	primary	ADJ
brj-22315	31	11	spectra	spectra	ADJ
brj-22315	31	12	database	database	NOUN
brj-22315	31	13	are	be	AUX
brj-22315	31	14	adjusted	adjust	VERB
brj-22315	31	15	to	to	PART
brj-22315	31	16	match	match	VERB
brj-22315	31	17	those	those	PRON
brj-22315	31	18	of	of	ADP
brj-22315	31	19	the	the	DET
brj-22315	31	20	secondary	secondary	ADJ
brj-22315	31	21	database	database	NOUN
brj-22315	31	22	,	,	PUNCT
brj-22315	31	23	and	and	CCONJ
brj-22315	31	24	the	the	DET
brj-22315	31	25	model	model	NOUN
brj-22315	31	26	is	be	AUX
brj-22315	31	27	recalibrated	recalibrate	VERB
brj-22315	31	28	.	.	PUNCT
brj-22315	32	1	spectra	spectra	ADJ
brj-22315	32	2	multivariate	multivariate	NOUN
brj-22315	32	3	correction	correction	NOUN
brj-22315	32	4	may	may	AUX
brj-22315	32	5	use	use	VERB
brj-22315	32	6	a	a	DET
brj-22315	32	7	large	large	ADJ
brj-22315	32	8	number	number	NOUN
brj-22315	32	9	of	of	ADP
brj-22315	32	10	techniques	technique	NOUN
brj-22315	32	11	,	,	PUNCT
brj-22315	32	12	such	such	ADJ
brj-22315	32	13	as	as	ADP
brj-22315	32	14	direct	direct	ADJ
brj-22315	32	15	standardisation	standardisation	NOUN
brj-22315	32	16	(	(	PUNCT
brj-22315	32	17	ds	ds	NOUN
brj-22315	32	18	)	)	PUNCT
brj-22315	32	19	(	(	PUNCT
brj-22315	32	20	tian	tian	PROPN
brj-22315	32	21	et	et	PROPN
brj-22315	32	22	al	al	PROPN
brj-22315	32	23	.	.	PROPN
brj-22315	32	24	2022	2022	NUM
brj-22315	32	25	)	)	PUNCT
brj-22315	32	26	,	,	PUNCT
brj-22315	32	27	or	or	CCONJ
brj-22315	32	28	piecewise	piecewise	VERB
brj-22315	32	29	direct	direct	ADJ
brj-22315	32	30	standardisation	standardisation	NOUN
brj-22315	32	31	(	(	PUNCT
brj-22315	32	32	pds	pds	NOUN
brj-22315	32	33	)	)	PUNCT
brj-22315	32	34	(	(	PUNCT
brj-22315	32	35	sun	sun	PROPN
brj-22315	32	36	et	et	PROPN
brj-22315	32	37	al	al	PROPN
brj-22315	32	38	.	.	PROPN
brj-22315	32	39	2021	2021	NUM
brj-22315	32	40	;	;	PUNCT
brj-22315	32	41	chen	chen	PROPN
brj-22315	32	42	et	et	PROPN
brj-22315	32	43	al	al	PROPN
brj-22315	32	44	.	.	PROPN
brj-22315	32	45	2022	2022	NUM
brj-22315	32	46	)	)	PUNCT
brj-22315	32	47	.	.	PUNCT
brj-22315	33	1	in	in	ADP
brj-22315	33	2	a	a	DET
brj-22315	33	3	posteriori	posteriori	NOUN
brj-22315	33	4	correction	correction	NOUN
brj-22315	33	5	,	,	PUNCT
brj-22315	33	6	existing	existing	ADJ
brj-22315	33	7	primary	primary	ADJ
brj-22315	33	8	spectra	spectra	NOUN
brj-22315	33	9	are	be	AUX
brj-22315	33	10	applied	apply	VERB
brj-22315	33	11	to	to	ADP
brj-22315	33	12	secondary	secondary	ADJ
brj-22315	33	13	spectra	spectra	NOUN
brj-22315	33	14	whose	whose	DET
brj-22315	33	15	responses	response	NOUN
brj-22315	33	16	are	be	AUX
brj-22315	33	17	known	know	VERB
brj-22315	33	18	.	.	PUNCT
brj-22315	34	1	after	after	ADP
brj-22315	34	2	calibrating	calibrate	VERB
brj-22315	34	3	a	a	DET
brj-22315	34	4	model	model	NOUN
brj-22315	34	5	of	of	ADP
brj-22315	34	6	the	the	DET
brj-22315	34	7	prediction	prediction	NOUN
brj-22315	34	8	error	error	NOUN
brj-22315	34	9	,	,	PUNCT
brj-22315	34	10	its	its	PRON
brj-22315	34	11	inverse	inverse	NOUN
brj-22315	34	12	is	be	AUX
brj-22315	34	13	used	use	VERB
brj-22315	34	14	to	to	PART
brj-22315	34	15	make	make	VERB
brj-22315	34	16	future	future	ADJ
brj-22315	34	17	predictions	prediction	NOUN
brj-22315	34	18	.	.	PUNCT
brj-22315	35	1	typically	typically	ADV
brj-22315	35	2	,	,	PUNCT
brj-22315	35	3	a	a	DET
brj-22315	35	4	simple	simple	ADJ
brj-22315	35	5	univariate	univariate	ADJ
brj-22315	35	6	technique	technique	NOUN
brj-22315	35	7	,	,	PUNCT
brj-22315	35	8	such	such	ADJ
brj-22315	35	9	as	as	ADP
brj-22315	35	10	bias	bias	NOUN
brj-22315	35	11	/	/	SYM
brj-22315	35	12	slope	slope	NOUN
brj-22315	35	13	correction	correction	NOUN
brj-22315	35	14	(	(	PUNCT
brj-22315	35	15	bsc	bsc	PROPN
brj-22315	35	16	)	)	PUNCT
brj-22315	35	17	of	of	ADP
brj-22315	35	18	the	the	DET
brj-22315	35	19	projected	project	VERB
brj-22315	35	20	values	value	NOUN
brj-22315	35	21	(	(	PUNCT
brj-22315	35	22	salguero	salguero	NOUN
brj-22315	35	23	-	-	PUNCT
brj-22315	35	24	chaparro	chaparro	PROPN
brj-22315	35	25	et	et	PROPN
brj-22315	35	26	al	al	PROPN
brj-22315	35	27	.	.	PROPN
brj-22315	35	28	2013	2013	NUM
brj-22315	35	29	)	)	PUNCT
brj-22315	35	30	,	,	PUNCT
brj-22315	35	31	is	be	AUX
brj-22315	35	32	used	use	VERB
brj-22315	35	33	to	to	PART
brj-22315	35	34	implement	implement	VERB
brj-22315	35	35	this	this	DET
brj-22315	35	36	model	model	NOUN
brj-22315	35	37	.	.	PUNCT
brj-22315	36	1	factor	factor	NOUN
brj-22315	36	2	analysis	analysis	NOUN
brj-22315	36	3	(	(	PUNCT
brj-22315	36	4	fa	fa	NOUN
brj-22315	36	5	)	)	PUNCT
brj-22315	36	6	is	be	AUX
brj-22315	36	7	a	a	DET
brj-22315	36	8	highly	highly	ADV
brj-22315	36	9	effective	effective	ADJ
brj-22315	36	10	method	method	NOUN
brj-22315	36	11	for	for	ADP
brj-22315	36	12	establishing	establish	VERB
brj-22315	36	13	relationships	relationship	NOUN
brj-22315	36	14	between	between	ADP
brj-22315	36	15	two	two	NUM
brj-22315	36	16	sets	set	NOUN
brj-22315	36	17	of	of	ADP
brj-22315	36	18	measurements	measurement	NOUN
brj-22315	36	19	(	(	PUNCT
brj-22315	36	20	spectrum	spectrum	NOUN
brj-22315	36	21	of	of	ADP
brj-22315	36	22	two	two	NUM
brj-22315	36	23	instruments	instrument	NOUN
brj-22315	36	24	)	)	PUNCT
brj-22315	36	25	.	.	PUNCT
brj-22315	37	1	transfer	transfer	NOUN
brj-22315	37	2	methods	method	NOUN
brj-22315	37	3	based	base	VERB
brj-22315	37	4	on	on	ADP
brj-22315	37	5	factor	factor	NOUN
brj-22315	37	6	analysis	analysis	NOUN
brj-22315	37	7	,	,	PUNCT
brj-22315	37	8	such	such	ADJ
brj-22315	37	9	as	as	ADP
brj-22315	37	10	the	the	DET
brj-22315	37	11	spectral	spectral	ADJ
brj-22315	37	12	space	space	NOUN
brj-22315	37	13	transformation	transformation	NOUN
brj-22315	37	14	algorithm	algorithm	NOUN
brj-22315	37	15	(	(	PUNCT
brj-22315	37	16	sst	sst	PROPN
brj-22315	37	17	)	)	PUNCT
brj-22315	37	18	(	(	PUNCT
brj-22315	37	19	l.	l.	PROPN
brj-22315	37	20	li	li	PROPN
brj-22315	37	21	et	et	PROPN
brj-22315	37	22	al	al	PROPN
brj-22315	37	23	.	.	PROPN
brj-22315	37	24	2022	2022	NUM
brj-22315	37	25	;	;	PUNCT
brj-22315	37	26	du	du	PROPN
brj-22315	37	27	et	et	PROPN
brj-22315	37	28	al	al	PROPN
brj-22315	37	29	.	.	PROPN
brj-22315	37	30	2011	2011	NUM
brj-22315	37	31	)	)	PUNCT
brj-22315	37	32	,	,	PUNCT
brj-22315	37	33	the	the	DET
brj-22315	37	34	alternating	alternate	VERB
brj-22315	37	35	trilinear	trilinear	ADJ
brj-22315	37	36	decomposition	decomposition	NOUN
brj-22315	37	37	(	(	PUNCT
brj-22315	37	38	atld	atld	NOUN
brj-22315	37	39	)	)	PUNCT
brj-22315	37	40	algorithm	algorithm	NOUN
brj-22315	37	41	(	(	PUNCT
brj-22315	37	42	yap	yap	NOUN
brj-22315	37	43	et	et	PROPN
brj-22315	37	44	al	al	PROPN
brj-22315	37	45	.	.	PROPN
brj-22315	37	46	2022	2022	NUM
brj-22315	37	47	)	)	PUNCT
brj-22315	37	48	,	,	PUNCT
brj-22315	37	49	the	the	DET
brj-22315	37	50	principal	principal	ADJ
brj-22315	37	51	component	component	NOUN
brj-22315	37	52	analysis	analysis	NOUN
brj-22315	37	53	(	(	PUNCT
brj-22315	37	54	pca	pca	NOUN
brj-22315	37	55	)	)	PUNCT
brj-22315	37	56	algorithm	algorithm	NOUN
brj-22315	37	57	(	(	PUNCT
brj-22315	37	58	rehman	rehman	NOUN
brj-22315	37	59	et	et	PROPN
brj-22315	37	60	al	al	PROPN
brj-22315	37	61	.	.	PROPN
brj-22315	37	62	2022	2022	NUM
brj-22315	37	63	)	)	PUNCT
brj-22315	37	64	,	,	PUNCT
brj-22315	37	65	and	and	CCONJ
brj-22315	37	66	the	the	DET
brj-22315	37	67	canonical	canonical	ADJ
brj-22315	37	68	correlation	correlation	NOUN
brj-22315	37	69	analysis	analysis	NOUN
brj-22315	37	70	(	(	PUNCT
brj-22315	37	71	cca	cca	NOUN
brj-22315	37	72	)	)	PUNCT
brj-22315	37	73	algorithm	algorithm	NOUN
brj-22315	37	74	(	(	PUNCT
brj-22315	37	75	fan	fan	NOUN
brj-22315	37	76	et	et	PROPN
brj-22315	37	77	al	al	PROPN
brj-22315	37	78	.	.	PROPN
brj-22315	37	79	2008	2008	NUM
brj-22315	37	80	;	;	PUNCT
brj-22315	37	81	zheng	zheng	PROPN
brj-22315	37	82	et	et	PROPN
brj-22315	37	83	al	al	PROPN
brj-22315	37	84	.	.	PROPN
brj-22315	37	85	2014	2014	NUM
brj-22315	37	86	)	)	PUNCT
brj-22315	37	87	,	,	PUNCT
brj-22315	37	88	have	have	AUX
brj-22315	37	89	been	be	AUX
brj-22315	37	90	widely	widely	ADV
brj-22315	37	91	applied	apply	VERB
brj-22315	37	92	and	and	CCONJ
brj-22315	37	93	are	be	AUX
brj-22315	37	94	frequently	frequently	ADV
brj-22315	37	95	compared	compare	VERB
brj-22315	37	96	to	to	ADP
brj-22315	37	97	traditional	traditional	ADJ
brj-22315	37	98	methods	method	NOUN
brj-22315	37	99	.	.	PUNCT
brj-22315	38	1	fa	fa	X
brj-22315	38	2	,	,	PUNCT
brj-22315	38	3	in	in	ADP
brj-22315	38	4	contrast	contrast	NOUN
brj-22315	38	5	to	to	ADP
brj-22315	38	6	pcr	pcr	NOUN
brj-22315	38	7	or	or	CCONJ
brj-22315	38	8	pls	pls	INTJ
brj-22315	38	9	(	(	PUNCT
brj-22315	38	10	mendoza	mendoza	PROPN
brj-22315	38	11	et	et	PROPN
brj-22315	38	12	al	al	PROPN
brj-22315	38	13	.	.	PROPN
brj-22315	38	14	2018	2018	NUM
brj-22315	38	15	)	)	PUNCT
brj-22315	38	16	,	,	PUNCT
brj-22315	38	17	utilizes	utilize	VERB
brj-22315	38	18	correlation	correlation	NOUN
brj-22315	38	19	rather	rather	ADV
brj-22315	38	20	than	than	ADP
brj-22315	38	21	covariance	covariance	VERB
brj-22315	38	22	.	.	PUNCT
brj-22315	39	1	a	a	DET
brj-22315	39	2	substantial	substantial	ADJ
brj-22315	39	3	covariance	covariance	NOUN
brj-22315	39	4	between	between	ADP
brj-22315	39	5	two	two	NUM
brj-22315	39	6	instruments	instrument	NOUN
brj-22315	39	7	nir	nir	NOUN
brj-22315	39	8	spectrum	spectrum	NOUN
brj-22315	39	9	is	be	AUX
brj-22315	39	10	not	not	PART
brj-22315	39	11	always	always	ADV
brj-22315	39	12	indicative	indicative	ADJ
brj-22315	39	13	of	of	ADP
brj-22315	39	14	a	a	DET
brj-22315	39	15	significant	significant	ADJ
brj-22315	39	16	connection	connection	NOUN
brj-22315	39	17	.	.	PUNCT
brj-22315	40	1	a	a	DET
brj-22315	40	2	pair	pair	NOUN
brj-22315	40	3	of	of	ADP
brj-22315	40	4	those	those	DET
brj-22315	40	5	spectrum	spectrum	NOUN
brj-22315	40	6	may	may	AUX
brj-22315	40	7	have	have	VERB
brj-22315	40	8	perfect	perfect	ADJ
brj-22315	40	9	correlation	correlation	NOUN
brj-22315	40	10	but	but	CCONJ
brj-22315	40	11	low	low	ADJ
brj-22315	40	12	covariance	covariance	NOUN
brj-22315	40	13	.	.	PUNCT
brj-22315	41	1	in	in	ADP
brj-22315	41	2	such	such	ADJ
brj-22315	41	3	instances	instance	NOUN
brj-22315	41	4	,	,	PUNCT
brj-22315	41	5	correlation	correlation	NOUN
brj-22315	41	6	(	(	PUNCT
brj-22315	41	7	fa	fa	NOUN
brj-22315	41	8	)	)	PUNCT
brj-22315	41	9	should	should	AUX
brj-22315	41	10	be	be	AUX
brj-22315	41	11	utilized	utilize	VERB
brj-22315	41	12	rather	rather	ADV
brj-22315	41	13	than	than	ADP
brj-22315	41	14	covariance	covariance	NOUN
brj-22315	41	15	(	(	PUNCT
brj-22315	41	16	pcr	pcr	ADJ
brj-22315	41	17	or	or	CCONJ
brj-22315	41	18	pls	pls	INTJ
brj-22315	41	19	)	)	PUNCT
brj-22315	41	20	.	.	PUNCT
brj-22315	42	1	pca	pca	PROPN
brj-22315	42	2	algorithm	algorithm	PROPN
brj-22315	42	3	,	,	PUNCT
brj-22315	42	4	cca	cca	PROPN
brj-22315	42	5	algorithm	algorithm	PROPN
brj-22315	42	6	,	,	PUNCT
brj-22315	42	7	and	and	CCONJ
brj-22315	42	8	atld	atld	NOUN
brj-22315	42	9	algorithm	algorithm	NOUN
brj-22315	42	10	are	be	AUX
brj-22315	42	11	statistically	statistically	ADV
brj-22315	42	12	classified	classify	VERB
brj-22315	42	13	as	as	ADP
brj-22315	42	14	exploratory	exploratory	ADJ
brj-22315	42	15	factor	factor	NOUN
brj-22315	42	16	analysis	analysis	NOUN
brj-22315	42	17	(	(	PUNCT
brj-22315	42	18	efa	efa	PROPN
brj-22315	42	19	)	)	PUNCT
brj-22315	42	20	approaches	approach	NOUN
brj-22315	42	21	.	.	PUNCT
brj-22315	43	1	in	in	ADP
brj-22315	43	2	addition	addition	NOUN
brj-22315	43	3	,	,	PUNCT
brj-22315	43	4	the	the	DET
brj-22315	43	5	succession	succession	NOUN
brj-22315	43	6	of	of	ADP
brj-22315	43	7	peaks	peak	NOUN
brj-22315	43	8	and	and	CCONJ
brj-22315	43	9	troughs	trough	NOUN
brj-22315	43	10	that	that	PRON
brj-22315	43	11	show	show	VERB
brj-22315	43	12	in	in	ADP
brj-22315	43	13	an	an	DET
brj-22315	43	14	nir	nir	ADJ
brj-22315	43	15	spectrum	spectrum	NOUN
brj-22315	43	16	represent	represent	VERB
brj-22315	43	17	the	the	DET
brj-22315	43	18	sample	sample	NOUN
brj-22315	43	19	’s	’s	PART
brj-22315	43	20	molecular	molecular	ADJ
brj-22315	43	21	vibrations	vibration	NOUN
brj-22315	43	22	.	.	PUNCT
brj-22315	44	1	the	the	DET
brj-22315	44	2	relationship	relationship	NOUN
brj-22315	44	3	between	between	ADP
brj-22315	44	4	molecular	molecular	ADJ
brj-22315	44	5	overtones	overtone	NOUN
brj-22315	44	6	and	and	CCONJ
brj-22315	44	7	combined	combined	ADJ
brj-22315	44	8	bands	band	NOUN
brj-22315	44	9	in	in	ADP
brj-22315	44	10	the	the	DET
brj-22315	44	11	nir	nir	NOUN
brj-22315	44	12	spectrum	spectrum	NOUN
brj-22315	44	13	and	and	CCONJ
brj-22315	44	14	the	the	DET
brj-22315	44	15	stretching	stretch	VERB
brj-22315	44	16	vibrations	vibration	NOUN
brj-22315	44	17	of	of	ADP
brj-22315	44	18	hydrocarbon	hydrocarbon	NOUN
brj-22315	44	19	bonds	bond	NOUN
brj-22315	44	20	in	in	ADP
brj-22315	44	21	solid	solid	ADJ
brj-22315	44	22	wood	wood	NOUN
brj-22315	44	23	panels	panel	NOUN
brj-22315	44	24	is	be	AUX
brj-22315	44	25	linear	linear	ADJ
brj-22315	44	26	.	.	PUNCT
brj-22315	45	1	by	by	ADP
brj-22315	45	2	peer	peer	NOUN
brj-22315	45	3	-	-	PUNCT
brj-22315	45	4	reviewed	review	VERB
brj-22315	45	5	article	article	NOUN
brj-22315	45	6	bioresources.com	bioresources.com	X
brj-22315	45	7	jiang	jiang	PROPN
brj-22315	45	8	et	et	PROPN
brj-22315	45	9	al	al	PROPN
brj-22315	45	10	.	.	PROPN
brj-22315	45	11	(	(	PUNCT
brj-22315	45	12	2023	2023	NUM
brj-22315	45	13	)	)	PUNCT
brj-22315	45	14	.	.	PUNCT
brj-22315	46	1	“	"	PUNCT
brj-22315	46	2	non	non	ADJ
brj-22315	46	3	-	-	ADJ
brj-22315	46	4	destructive	destructive	ADJ
brj-22315	46	5	wood	wood	NOUN
brj-22315	46	6	testing	testing	NOUN
brj-22315	46	7	,	,	PUNCT
brj-22315	46	8	”	"	PUNCT
brj-22315	46	9	bioresources	bioresource	NOUN
brj-22315	46	10	18(2	18(2	NUM
brj-22315	46	11	)	)	PUNCT
brj-22315	46	12	,	,	PUNCT
brj-22315	46	13	3620	3620	NUM
brj-22315	46	14	-	-	SYM
brj-22315	46	15	3641	3641	NUM
brj-22315	46	16	.	.	PUNCT
brj-22315	47	1	3622	3622	NUM
brj-22315	47	2	comparing	compare	VERB
brj-22315	47	3	the	the	DET
brj-22315	47	4	nir	nir	ADJ
brj-22315	47	5	spectra	spectra	NOUN
brj-22315	47	6	of	of	ADP
brj-22315	47	7	wood	wood	NOUN
brj-22315	47	8	and	and	CCONJ
brj-22315	47	9	pure	pure	ADJ
brj-22315	47	10	chemical	chemical	ADJ
brj-22315	47	11	components	component	NOUN
brj-22315	47	12	such	such	ADJ
brj-22315	47	13	as	as	ADP
brj-22315	47	14	lignin	lignin	NOUN
brj-22315	47	15	,	,	PUNCT
brj-22315	47	16	cellulose	cellulose	NOUN
brj-22315	47	17	,	,	PUNCT
brj-22315	47	18	extractives	extractive	NOUN
brj-22315	47	19	,	,	PUNCT
brj-22315	47	20	and	and	CCONJ
brj-22315	47	21	xylan	xylan	PROPN
brj-22315	48	1	,	,	PUNCT
brj-22315	48	2	researchers	researcher	NOUN
brj-22315	48	3	estimate	estimate	VERB
brj-22315	48	4	the	the	DET
brj-22315	48	5	contribution	contribution	NOUN
brj-22315	48	6	of	of	ADP
brj-22315	48	7	the	the	DET
brj-22315	48	8	chemical	chemical	ADJ
brj-22315	48	9	components	component	NOUN
brj-22315	48	10	to	to	ADP
brj-22315	48	11	the	the	DET
brj-22315	48	12	mechanical	mechanical	ADJ
brj-22315	48	13	performance	performance	NOUN
brj-22315	48	14	of	of	ADP
brj-22315	48	15	wood	wood	NOUN
brj-22315	48	16	,	,	PUNCT
brj-22315	48	17	in	in	ADP
brj-22315	48	18	accordance	accordance	NOUN
brj-22315	48	19	with	with	ADP
brj-22315	48	20	the	the	DET
brj-22315	48	21	premise	premise	NOUN
brj-22315	48	22	of	of	ADP
brj-22315	48	23	confirmatory	confirmatory	ADJ
brj-22315	48	24	factor	factor	NOUN
brj-22315	48	25	analysis	analysis	NOUN
brj-22315	48	26	(	(	PUNCT
brj-22315	48	27	cfa	cfa	NOUN
brj-22315	48	28	)	)	PUNCT
brj-22315	48	29	(	(	PUNCT
brj-22315	48	30	dash	dash	NOUN
brj-22315	48	31	and	and	CCONJ
brj-22315	48	32	paul	paul	PROPN
brj-22315	48	33	2021	2021	NUM
brj-22315	48	34	)	)	PUNCT
brj-22315	48	35	.	.	PUNCT
brj-22315	49	1	cfa	cfa	PROPN
brj-22315	49	2	assesses	assess	VERB
brj-22315	49	3	a	a	DET
brj-22315	49	4	priori	priori	ADJ
brj-22315	49	5	hypotheses	hypothesis	NOUN
brj-22315	49	6	derived	derive	VERB
brj-22315	49	7	from	from	ADP
brj-22315	49	8	earlier	early	ADJ
brj-22315	49	9	research	research	NOUN
brj-22315	49	10	on	on	ADP
brj-22315	49	11	the	the	DET
brj-22315	49	12	link	link	NOUN
brj-22315	49	13	between	between	ADP
brj-22315	49	14	the	the	DET
brj-22315	49	15	mechanical	mechanical	ADJ
brj-22315	49	16	characteristics	characteristic	NOUN
brj-22315	49	17	of	of	ADP
brj-22315	49	18	solid	solid	ADJ
brj-22315	49	19	wood	wood	NOUN
brj-22315	49	20	panels	panel	NOUN
brj-22315	49	21	and	and	CCONJ
brj-22315	49	22	conducts	conduct	VERB
brj-22315	49	23	validated	validated	ADJ
brj-22315	49	24	testing	testing	NOUN
brj-22315	49	25	on	on	ADP
brj-22315	49	26	proposed	propose	VERB
brj-22315	49	27	models	model	NOUN
brj-22315	49	28	.	.	PUNCT
brj-22315	50	1	lignin	lignin	PROPN
brj-22315	50	2	content	content	NOUN
brj-22315	50	3	and	and	CCONJ
brj-22315	50	4	the	the	DET
brj-22315	50	5	lignin	lignin	NOUN
brj-22315	50	6	and	and	CCONJ
brj-22315	50	7	extractives	extractive	NOUN
brj-22315	50	8	are	be	AUX
brj-22315	50	9	strongly	strongly	ADV
brj-22315	50	10	correlated	correlate	VERB
brj-22315	50	11	with	with	ADP
brj-22315	50	12	the	the	DET
brj-22315	50	13	absorbances	absorbance	NOUN
brj-22315	50	14	near	near	ADP
brj-22315	50	15	1668	1668	NUM
brj-22315	50	16	nm	nm	NOUN
brj-22315	50	17	and	and	CCONJ
brj-22315	50	18	1684	1684	NUM
brj-22315	50	19	nm	nm	INTJ
brj-22315	50	20	(	(	PUNCT
brj-22315	50	21	horvath	horvath	PROPN
brj-22315	50	22	et	et	PROPN
brj-22315	50	23	al	al	PROPN
brj-22315	50	24	.	.	PROPN
brj-22315	50	25	2011	2011	NUM
brj-22315	50	26	)	)	PUNCT
brj-22315	50	27	.	.	PUNCT
brj-22315	51	1	the	the	DET
brj-22315	51	2	microfibril	microfibril	ADJ
brj-22315	51	3	angle	angle	NOUN
brj-22315	51	4	of	of	ADP
brj-22315	51	5	wood	wood	NOUN
brj-22315	51	6	samples	sample	NOUN
brj-22315	51	7	were	be	AUX
brj-22315	51	8	correlated	correlate	VERB
brj-22315	51	9	with	with	ADP
brj-22315	51	10	the	the	DET
brj-22315	51	11	absorbances	absorbance	NOUN
brj-22315	51	12	near	near	ADP
brj-22315	51	13	1,150	1,150	NUM
brj-22315	51	14	nm	nm	NOUN
brj-22315	51	15	.	.	PUNCT
brj-22315	52	1	the	the	DET
brj-22315	52	2	absorbance	absorbance	NOUN
brj-22315	52	3	peaks	peak	NOUN
brj-22315	52	4	between	between	ADP
brj-22315	52	5	1075	1075	NUM
brj-22315	52	6	and	and	CCONJ
brj-22315	52	7	1250	1250	NUM
brj-22315	52	8	nm	nm	NOUN
brj-22315	52	9	had	have	AUX
brj-22315	52	10	been	be	AUX
brj-22315	52	11	identified	identify	VERB
brj-22315	52	12	to	to	PART
brj-22315	52	13	be	be	AUX
brj-22315	52	14	related	relate	VERB
brj-22315	52	15	to	to	ADP
brj-22315	52	16	the	the	DET
brj-22315	52	17	lignin	lignin	NOUN
brj-22315	52	18	content	content	NOUN
brj-22315	52	19	(	(	PUNCT
brj-22315	52	20	watanabe	watanabe	PROPN
brj-22315	52	21	et	et	PROPN
brj-22315	52	22	al	al	PROPN
brj-22315	52	23	.	.	PROPN
brj-22315	52	24	2012	2012	NUM
brj-22315	52	25	)	)	PUNCT
brj-22315	52	26	.	.	PUNCT
brj-22315	53	1	the	the	DET
brj-22315	53	2	band	band	NOUN
brj-22315	53	3	at	at	ADP
brj-22315	53	4	1143	1143	NUM
brj-22315	53	5	nm	nm	NOUN
brj-22315	53	6	belonged	belong	VERB
brj-22315	53	7	to	to	ADP
brj-22315	53	8	aromatic	aromatic	ADJ
brj-22315	53	9	groups	group	NOUN
brj-22315	53	10	,	,	PUNCT
brj-22315	53	11	and	and	CCONJ
brj-22315	53	12	the	the	DET
brj-22315	53	13	absorbances	absorbance	NOUN
brj-22315	53	14	near	near	ADP
brj-22315	53	15	1130	1130	NUM
brj-22315	53	16	nm	nm	NOUN
brj-22315	53	17	were	be	AUX
brj-22315	53	18	closely	closely	ADV
brj-22315	53	19	related	relate	VERB
brj-22315	53	20	to	to	ADP
brj-22315	53	21	the	the	DET
brj-22315	53	22	lignin	lignin	NOUN
brj-22315	53	23	content	content	NOUN
brj-22315	53	24	after	after	ADP
brj-22315	53	25	2	2	NUM
brj-22315	53	26	-	-	SYM
brj-22315	53	27	d	d	NOUN
brj-22315	53	28	preprocess	preprocess	NOUN
brj-22315	53	29	.	.	PUNCT
brj-22315	54	1	fujimoto	fujimoto	PROPN
brj-22315	54	2	et	et	PROPN
brj-22315	54	3	al	al	PROPN
brj-22315	54	4	.	.	PROPN
brj-22315	55	1	(	(	PUNCT
brj-22315	55	2	2012	2012	NUM
brj-22315	55	3	)	)	PUNCT
brj-22315	55	4	believed	believe	VERB
brj-22315	55	5	that	that	SCONJ
brj-22315	55	6	the	the	DET
brj-22315	55	7	absorbances	absorbance	NOUN
brj-22315	55	8	near	near	ADP
brj-22315	55	9	1428.5	1428.5	NUM
brj-22315	55	10	nm	nm	NOUN
brj-22315	55	11	were	be	AUX
brj-22315	55	12	highly	highly	ADV
brj-22315	55	13	correlated	correlate	VERB
brj-22315	55	14	with	with	ADP
brj-22315	55	15	cellulose	cellulose	NOUN
brj-22315	55	16	,	,	PUNCT
brj-22315	55	17	the	the	DET
brj-22315	55	18	bands	band	NOUN
brj-22315	55	19	at	at	ADP
brj-22315	55	20	1366	1366	NUM
brj-22315	55	21	nm	nm	NOUN
brj-22315	55	22	,	,	PUNCT
brj-22315	55	23	1400	1400	NUM
brj-22315	55	24	nm	nm	NOUN
brj-22315	55	25	,	,	PUNCT
brj-22315	55	26	and	and	CCONJ
brj-22315	55	27	1428	1428	NUM
brj-22315	55	28	nm	nm	NOUN
brj-22315	55	29	were	be	AUX
brj-22315	55	30	associated	associate	VERB
brj-22315	55	31	with	with	ADP
brj-22315	55	32	the	the	DET
brj-22315	55	33	cellulose	cellulose	NOUN
brj-22315	55	34	and	and	CCONJ
brj-22315	55	35	the	the	DET
brj-22315	55	36	moisture	moisture	NOUN
brj-22315	55	37	content	content	NOUN
brj-22315	55	38	,	,	PUNCT
brj-22315	55	39	the	the	DET
brj-22315	55	40	band	band	NOUN
brj-22315	55	41	at	at	ADP
brj-22315	55	42	1396.6	1396.6	NUM
brj-22315	55	43	nm	nm	NOUN
brj-22315	55	44	was	be	AUX
brj-22315	55	45	highly	highly	ADV
brj-22315	55	46	correlated	correlate	VERB
brj-22315	55	47	with	with	ADP
brj-22315	55	48	freewater	freewater	NOUN
brj-22315	55	49	,	,	PUNCT
brj-22315	55	50	and	and	CCONJ
brj-22315	55	51	the	the	DET
brj-22315	55	52	band	band	NOUN
brj-22315	55	53	at	at	ADP
brj-22315	55	54	1366.1	1366.1	NUM
brj-22315	55	55	nm	nm	NOUN
brj-22315	55	56	was	be	AUX
brj-22315	55	57	highly	highly	ADV
brj-22315	55	58	correlated	correlate	VERB
brj-22315	55	59	with	with	ADP
brj-22315	55	60	freewater	freewater	NOUN
brj-22315	55	61	.	.	PUNCT
brj-22315	56	1	the	the	DET
brj-22315	56	2	bands	band	NOUN
brj-22315	56	3	are	be	AUX
brj-22315	56	4	highly	highly	ADV
brj-22315	56	5	correlated	correlate	VERB
brj-22315	56	6	with	with	ADP
brj-22315	56	7	bound	bind	VERB
brj-22315	56	8	water	water	NOUN
brj-22315	56	9	.	.	PUNCT
brj-22315	57	1	therefore	therefore	ADV
brj-22315	57	2	,	,	PUNCT
brj-22315	57	3	it	it	PRON
brj-22315	57	4	is	be	AUX
brj-22315	57	5	feasible	feasible	ADJ
brj-22315	57	6	to	to	PART
brj-22315	57	7	hypothesize	hypothesize	VERB
brj-22315	57	8	,	,	PUNCT
brj-22315	57	9	in	in	ADP
brj-22315	57	10	advance	advance	NOUN
brj-22315	57	11	,	,	PUNCT
brj-22315	57	12	the	the	DET
brj-22315	57	13	number	number	NOUN
brj-22315	57	14	of	of	ADP
brj-22315	57	15	factors	factor	NOUN
brj-22315	57	16	affected	affect	VERB
brj-22315	57	17	the	the	DET
brj-22315	57	18	mechanical	mechanical	ADJ
brj-22315	57	19	properties	property	NOUN
brj-22315	57	20	of	of	ADP
brj-22315	57	21	wood	wood	NOUN
brj-22315	57	22	,	,	PUNCT
brj-22315	57	23	whether	whether	SCONJ
brj-22315	57	24	these	these	DET
brj-22315	57	25	factors	factor	NOUN
brj-22315	57	26	are	be	AUX
brj-22315	57	27	correlated	correlate	VERB
brj-22315	57	28	,	,	PUNCT
brj-22315	57	29	and	and	CCONJ
brj-22315	57	30	which	which	DET
brj-22315	57	31	band	band	NOUN
brj-22315	57	32	in	in	ADP
brj-22315	57	33	nir	nir	ADJ
brj-22315	57	34	load	load	NOUN
brj-22315	57	35	onto	onto	ADP
brj-22315	57	36	and	and	CCONJ
brj-22315	57	37	reflect	reflect	VERB
brj-22315	57	38	which	which	DET
brj-22315	57	39	factors	factor	NOUN
brj-22315	57	40	,	,	PUNCT
brj-22315	57	41	according	accord	VERB
brj-22315	57	42	to	to	ADP
brj-22315	57	43	the	the	DET
brj-22315	57	44	above	above	ADJ
brj-22315	57	45	literature	literature	NOUN
brj-22315	57	46	.	.	PUNCT
brj-22315	58	1	cfa	cfa	PROPN
brj-22315	58	2	is	be	AUX
brj-22315	58	3	utilized	utilize	VERB
brj-22315	58	4	by	by	ADP
brj-22315	58	5	partial	partial	ADJ
brj-22315	58	6	least	least	ADJ
brj-22315	58	7	squares	square	NOUN
brj-22315	58	8	structural	structural	ADJ
brj-22315	58	9	equation	equation	NOUN
brj-22315	58	10	modeling	modeling	NOUN
brj-22315	58	11	(	(	PUNCT
brj-22315	58	12	pls	pls	INTJ
brj-22315	58	13	-	-	PUNCT
brj-22315	58	14	sem	sem	NOUN
brj-22315	58	15	)	)	PUNCT
brj-22315	58	16	(	(	PUNCT
brj-22315	58	17	sarstedt	sarstedt	NOUN
brj-22315	58	18	et	et	PROPN
brj-22315	58	19	al	al	PROPN
brj-22315	58	20	.	.	PROPN
brj-22315	58	21	2022	2022	NUM
brj-22315	58	22	;	;	PUNCT
brj-22315	58	23	smith	smith	PROPN
brj-22315	58	24	et	et	PROPN
brj-22315	58	25	al	al	PROPN
brj-22315	58	26	.	.	PROPN
brj-22315	58	27	2022	2022	NUM
brj-22315	58	28	)	)	PUNCT
brj-22315	58	29	to	to	PART
brj-22315	58	30	evaluate	evaluate	VERB
brj-22315	58	31	the	the	DET
brj-22315	58	32	measurement	measurement	NOUN
brj-22315	58	33	model	model	NOUN
brj-22315	58	34	.	.	PUNCT
brj-22315	59	1	it	it	PRON
brj-22315	59	2	differs	differ	VERB
brj-22315	59	3	from	from	ADP
brj-22315	59	4	efa	efa	PROPN
brj-22315	59	5	in	in	ADP
brj-22315	59	6	that	that	SCONJ
brj-22315	59	7	it	it	PRON
brj-22315	59	8	evaluates	evaluate	VERB
brj-22315	59	9	using	use	VERB
brj-22315	59	10	empirical	empirical	ADJ
brj-22315	59	11	data	datum	NOUN
brj-22315	59	12	with	with	ADP
brj-22315	59	13	existing	exist	VERB
brj-22315	59	14	factor	factor	NOUN
brj-22315	59	15	specification	specification	NOUN
brj-22315	59	16	.	.	PUNCT
brj-22315	60	1	for	for	ADP
brj-22315	60	2	cfa	cfa	PROPN
brj-22315	60	3	,	,	PUNCT
brj-22315	60	4	model	model	NOUN
brj-22315	60	5	fit	fit	NOUN
brj-22315	60	6	is	be	AUX
brj-22315	60	7	examined	examine	VERB
brj-22315	60	8	to	to	PART
brj-22315	60	9	validate	validate	VERB
brj-22315	60	10	the	the	DET
brj-22315	60	11	measurement	measurement	NOUN
brj-22315	60	12	.	.	PUNCT
brj-22315	61	1	after	after	SCONJ
brj-22315	61	2	the	the	DET
brj-22315	61	3	model	model	NOUN
brj-22315	61	4	is	be	AUX
brj-22315	61	5	fitted	fit	VERB
brj-22315	61	6	,	,	PUNCT
brj-22315	61	7	the	the	DET
brj-22315	61	8	route	route	NOUN
brj-22315	61	9	models	model	NOUN
brj-22315	61	10	between	between	ADP
brj-22315	61	11	the	the	DET
brj-22315	61	12	latent	latent	NOUN
brj-22315	61	13	variables	variable	NOUN
brj-22315	61	14	are	be	AUX
brj-22315	61	15	evaluated	evaluate	VERB
brj-22315	61	16	(	(	PUNCT
brj-22315	61	17	jonckere	jonckere	ADV
brj-22315	61	18	and	and	CCONJ
brj-22315	61	19	rosseel	rosseel	VERB
brj-22315	61	20	2022	2022	NUM
brj-22315	61	21	)	)	PUNCT
brj-22315	61	22	.	.	PUNCT
brj-22315	62	1	the	the	DET
brj-22315	62	2	plssem	plssem	PROPN
brj-22315	62	3	approach	approach	NOUN
brj-22315	62	4	is	be	AUX
brj-22315	62	5	intriguing	intriguing	ADJ
brj-22315	62	6	because	because	SCONJ
brj-22315	62	7	it	it	PRON
brj-22315	62	8	allows	allow	VERB
brj-22315	62	9	them	they	PRON
brj-22315	62	10	to	to	PART
brj-22315	62	11	estimate	estimate	VERB
brj-22315	62	12	complicated	complicated	ADJ
brj-22315	62	13	models	model	NOUN
brj-22315	62	14	with	with	ADP
brj-22315	62	15	numerous	numerous	ADJ
brj-22315	62	16	constructs	construct	NOUN
brj-22315	62	17	,	,	PUNCT
brj-22315	62	18	indicator	indicator	NOUN
brj-22315	62	19	variables	variable	NOUN
brj-22315	62	20	,	,	PUNCT
brj-22315	62	21	and	and	CCONJ
brj-22315	62	22	structural	structural	ADJ
brj-22315	62	23	routes	route	NOUN
brj-22315	62	24	without	without	ADP
brj-22315	62	25	putting	put	VERB
brj-22315	62	26	distributional	distributional	ADJ
brj-22315	62	27	assumptions	assumption	NOUN
brj-22315	62	28	on	on	ADP
brj-22315	62	29	the	the	DET
brj-22315	62	30	data	datum	NOUN
brj-22315	62	31	(	(	PUNCT
brj-22315	62	32	hair	hair	NOUN
brj-22315	62	33	et	et	PROPN
brj-22315	62	34	al	al	PROPN
brj-22315	62	35	.	.	PROPN
brj-22315	62	36	2020	2020	NUM
brj-22315	62	37	)	)	PUNCT
brj-22315	62	38	.	.	PUNCT
brj-22315	63	1	pls	pls	PROPN
brj-22315	63	2	-	-	PUNCT
brj-22315	63	3	sem	sem	PROPN
brj-22315	63	4	is	be	AUX
brj-22315	63	5	a	a	DET
brj-22315	63	6	causal	causal	ADJ
brj-22315	63	7	-	-	PUNCT
brj-22315	63	8	predictive	predictive	ADJ
brj-22315	63	9	approach	approach	NOUN
brj-22315	63	10	to	to	ADP
brj-22315	63	11	sem	sem	NOUN
brj-22315	63	12	that	that	PRON
brj-22315	63	13	stresses	stress	VERB
brj-22315	63	14	prediction	prediction	NOUN
brj-22315	63	15	in	in	ADP
brj-22315	63	16	estimating	estimate	VERB
brj-22315	63	17	statistical	statistical	ADJ
brj-22315	63	18	models	model	NOUN
brj-22315	63	19	,	,	PUNCT
brj-22315	63	20	the	the	DET
brj-22315	63	21	structures	structure	NOUN
brj-22315	63	22	of	of	ADP
brj-22315	63	23	which	which	PRON
brj-22315	63	24	are	be	AUX
brj-22315	63	25	aimed	aim	VERB
brj-22315	63	26	to	to	PART
brj-22315	63	27	give	give	VERB
brj-22315	63	28	causal	causal	ADJ
brj-22315	63	29	explanations	explanation	NOUN
brj-22315	63	30	(	(	PUNCT
brj-22315	63	31	hult	hult	NOUN
brj-22315	63	32	et	et	PROPN
brj-22315	63	33	al	al	PROPN
brj-22315	63	34	.	.	PROPN
brj-22315	63	35	2021	2021	NUM
brj-22315	63	36	)	)	PUNCT
brj-22315	63	37	.	.	PUNCT
brj-22315	64	1	thus	thus	ADV
brj-22315	64	2	,	,	PUNCT
brj-22315	64	3	the	the	DET
brj-22315	64	4	method	method	NOUN
brj-22315	64	5	avoids	avoid	VERB
brj-22315	64	6	the	the	DET
brj-22315	64	7	seeming	seem	VERB
brj-22315	64	8	conflict	conflict	NOUN
brj-22315	64	9	between	between	ADP
brj-22315	64	10	explanation	explanation	NOUN
brj-22315	64	11	and	and	CCONJ
brj-22315	64	12	prediction	prediction	NOUN
brj-22315	64	13	,	,	PUNCT
brj-22315	64	14	which	which	PRON
brj-22315	64	15	is	be	AUX
brj-22315	64	16	normally	normally	ADV
brj-22315	64	17	stressed	stress	VERB
brj-22315	64	18	in	in	ADP
brj-22315	64	19	academic	academic	ADJ
brj-22315	64	20	research	research	NOUN
brj-22315	64	21	.	.	PUNCT
brj-22315	65	1	in	in	ADP
brj-22315	65	2	addition	addition	NOUN
brj-22315	65	3	,	,	PUNCT
brj-22315	65	4	user	user	NOUN
brj-22315	65	5	-	-	PUNCT
brj-22315	65	6	friendly	friendly	ADJ
brj-22315	65	7	software	software	NOUN
brj-22315	65	8	packages	package	NOUN
brj-22315	65	9	are	be	AUX
brj-22315	65	10	available	available	ADJ
brj-22315	65	11	,	,	PUNCT
brj-22315	65	12	such	such	ADJ
brj-22315	65	13	as	as	ADP
brj-22315	65	14	plsgraph	plsgraph	NOUN
brj-22315	65	15	(	(	PUNCT
brj-22315	65	16	tenenhaus	tenenhaus	NOUN
brj-22315	65	17	and	and	CCONJ
brj-22315	65	18	hanafi	hanafi	NOUN
brj-22315	65	19	2010	2010	NUM
brj-22315	65	20	)	)	PUNCT
brj-22315	65	21	and	and	CCONJ
brj-22315	65	22	smartpls	smartpls	PROPN
brj-22315	65	23	(	(	PUNCT
brj-22315	65	24	sarstedt	sarstedt	NOUN
brj-22315	65	25	and	and	CCONJ
brj-22315	65	26	cheah	cheah	PROPN
brj-22315	65	27	2019	2019	NUM
brj-22315	65	28	)	)	PUNCT
brj-22315	65	29	,	,	PUNCT
brj-22315	65	30	that	that	PRON
brj-22315	65	31	need	need	VERB
brj-22315	65	32	minimum	minimum	ADJ
brj-22315	65	33	technical	technical	ADJ
brj-22315	65	34	knowledge	knowledge	NOUN
brj-22315	65	35	of	of	ADP
brj-22315	65	36	the	the	DET
brj-22315	65	37	method	method	NOUN
brj-22315	65	38	.	.	PUNCT
brj-22315	66	1	in	in	ADP
brj-22315	66	2	addition	addition	NOUN
brj-22315	66	3	to	to	ADP
brj-22315	66	4	introducing	introduce	VERB
brj-22315	66	5	the	the	DET
brj-22315	66	6	cfa	cfa	PROPN
brj-22315	66	7	theory	theory	NOUN
brj-22315	66	8	into	into	ADP
brj-22315	66	9	the	the	DET
brj-22315	66	10	nir	nir	NOUN
brj-22315	66	11	transfer	transfer	NOUN
brj-22315	66	12	model	model	NOUN
brj-22315	66	13	,	,	PUNCT
brj-22315	66	14	the	the	DET
brj-22315	66	15	purpose	purpose	NOUN
brj-22315	66	16	of	of	ADP
brj-22315	66	17	this	this	DET
brj-22315	66	18	study	study	NOUN
brj-22315	66	19	is	be	AUX
brj-22315	66	20	to	to	PART
brj-22315	66	21	present	present	VERB
brj-22315	66	22	a	a	DET
brj-22315	66	23	unified	unified	ADJ
brj-22315	66	24	calibration	calibration	NOUN
brj-22315	66	25	transfer	transfer	NOUN
brj-22315	66	26	framework	framework	NOUN
brj-22315	66	27	based	base	VERB
brj-22315	66	28	on	on	ADP
brj-22315	66	29	the	the	DET
brj-22315	66	30	pls	pls	PROPN
brj-22315	66	31	-	-	PUNCT
brj-22315	66	32	sem	sem	NOUN
brj-22315	66	33	model	model	NOUN
brj-22315	66	34	.	.	PUNCT
brj-22315	67	1	based	base	VERB
brj-22315	67	2	on	on	ADP
brj-22315	67	3	this	this	DET
brj-22315	67	4	framework	framework	NOUN
brj-22315	67	5	,	,	PUNCT
brj-22315	67	6	two	two	NUM
brj-22315	67	7	existing	exist	VERB
brj-22315	67	8	algorithms	algorithm	NOUN
brj-22315	67	9	,	,	PUNCT
brj-22315	67	10	cca	cca	PROPN
brj-22315	67	11	and	and	CCONJ
brj-22315	67	12	sst	sst	PROPN
brj-22315	67	13	,	,	PUNCT
brj-22315	67	14	were	be	AUX
brj-22315	67	15	unified	unify	VERB
brj-22315	67	16	into	into	ADP
brj-22315	67	17	a	a	DET
brj-22315	67	18	new	new	ADJ
brj-22315	67	19	process	process	NOUN
brj-22315	67	20	,	,	PUNCT
brj-22315	67	21	named	name	VERB
brj-22315	67	22	efea	efea	PROPN
brj-22315	67	23	-	-	PUNCT
brj-22315	67	24	fa	fa	NOUN
brj-22315	67	25	and	and	CCONJ
brj-22315	67	26	efea	efea	PROPN
brj-22315	67	27	-	-	PUNCT
brj-22315	67	28	sst	sst	NOUN
brj-22315	67	29	.	.	PUNCT
brj-22315	68	1	this	this	DET
brj-22315	68	2	work	work	NOUN
brj-22315	68	3	introduces	introduce	VERB
brj-22315	68	4	structural	structural	ADJ
brj-22315	68	5	equation	equation	NOUN
brj-22315	68	6	modeling	modeling	NOUN
brj-22315	68	7	in	in	ADP
brj-22315	68	8	statistics	statistic	NOUN
brj-22315	68	9	and	and	CCONJ
brj-22315	68	10	improves	improve	VERB
brj-22315	68	11	model	model	NOUN
brj-22315	68	12	transfer	transfer	NOUN
brj-22315	68	13	methods	method	NOUN
brj-22315	68	14	from	from	ADP
brj-22315	68	15	a	a	DET
brj-22315	68	16	novel	novel	ADJ
brj-22315	68	17	perspective	perspective	NOUN
brj-22315	68	18	.	.	PUNCT
brj-22315	69	1	the	the	DET
brj-22315	69	2	band	band	NOUN
brj-22315	69	3	is	be	AUX
brj-22315	69	4	selected	select	VERB
brj-22315	69	5	according	accord	VERB
brj-22315	69	6	to	to	ADP
brj-22315	69	7	the	the	DET
brj-22315	69	8	fundamentals	fundamental	NOUN
brj-22315	69	9	of	of	ADP
brj-22315	69	10	nir	nir	ADJ
brj-22315	69	11	spectroscopy	spectroscopy	NOUN
brj-22315	69	12	.	.	PUNCT
brj-22315	70	1	using	use	VERB
brj-22315	70	2	efea	efea	PROPN
brj-22315	70	3	-	-	PUNCT
brj-22315	70	4	fa	fa	NOUN
brj-22315	70	5	and	and	CCONJ
brj-22315	70	6	efea	efea	PROPN
brj-22315	70	7	-	-	PUNCT
brj-22315	70	8	sst	sst	NOUN
brj-22315	70	9	for	for	ADP
brj-22315	70	10	the	the	DET
brj-22315	70	11	prediction	prediction	NOUN
brj-22315	70	12	of	of	ADP
brj-22315	70	13	the	the	DET
brj-22315	70	14	solid	solid	ADJ
brj-22315	70	15	wood	wood	NOUN
brj-22315	70	16	panels	panel	NOUN
brj-22315	70	17	mechanical	mechanical	ADJ
brj-22315	70	18	character	character	NOUN
brj-22315	70	19	could	could	AUX
brj-22315	70	20	reach	reach	VERB
brj-22315	70	21	great	great	ADJ
brj-22315	70	22	performance	performance	NOUN
brj-22315	70	23	over	over	ADP
brj-22315	70	24	both	both	PRON
brj-22315	70	25	source	source	NOUN
brj-22315	70	26	and	and	CCONJ
brj-22315	70	27	target	target	NOUN
brj-22315	70	28	domain	domain	NOUN
brj-22315	70	29	.	.	PUNCT
brj-22315	71	1	this	this	DET
brj-22315	71	2	work	work	NOUN
brj-22315	71	3	determined	determine	VERB
brj-22315	71	4	the	the	DET
brj-22315	71	5	number	number	NOUN
brj-22315	71	6	of	of	ADP
brj-22315	71	7	factors	factor	NOUN
brj-22315	71	8	and	and	CCONJ
brj-22315	71	9	the	the	DET
brj-22315	71	10	relationship	relationship	NOUN
brj-22315	71	11	between	between	ADP
brj-22315	71	12	factors	factor	NOUN
brj-22315	71	13	and	and	CCONJ
brj-22315	71	14	spectral	spectral	ADJ
brj-22315	71	15	bands	band	NOUN
brj-22315	71	16	.	.	PUNCT
brj-22315	72	1	these	these	DET
brj-22315	72	2	components	component	NOUN
brj-22315	72	3	were	be	AUX
brj-22315	72	4	chosen	choose	VERB
brj-22315	72	5	in	in	ADP
brj-22315	72	6	accordance	accordance	NOUN
brj-22315	72	7	with	with	ADP
brj-22315	72	8	knowledge	knowledge	NOUN
brj-22315	72	9	from	from	ADP
brj-22315	72	10	previous	previous	ADJ
brj-22315	72	11	research	research	NOUN
brj-22315	72	12	as	as	ADV
brj-22315	72	13	well	well	ADV
brj-22315	72	14	as	as	ADP
brj-22315	72	15	the	the	DET
brj-22315	72	16	pls	pls	PROPN
brj-22315	72	17	-	-	PUNCT
brj-22315	72	18	sem	sem	PROPN
brj-22315	72	19	model	model	NOUN
brj-22315	72	20	’s	’s	PART
brj-22315	72	21	unified	unified	ADJ
brj-22315	72	22	structure	structure	NOUN
brj-22315	72	23	.	.	PUNCT
brj-22315	73	1	the	the	DET
brj-22315	73	2	goal	goal	NOUN
brj-22315	73	3	was	be	AUX
brj-22315	73	4	to	to	PART
brj-22315	73	5	improve	improve	VERB
brj-22315	73	6	the	the	DET
brj-22315	73	7	interpretability	interpretability	NOUN
brj-22315	73	8	of	of	ADP
brj-22315	73	9	the	the	DET
brj-22315	73	10	transfer	transfer	NOUN
brj-22315	73	11	model	model	NOUN
brj-22315	73	12	.	.	PUNCT
brj-22315	74	1	peer	peer	NOUN
brj-22315	74	2	-	-	PUNCT
brj-22315	74	3	reviewed	review	VERB
brj-22315	74	4	article	article	NOUN
brj-22315	74	5	bioresources.com	bioresources.com	X
brj-22315	74	6	jiang	jiang	PROPN
brj-22315	74	7	et	et	PROPN
brj-22315	74	8	al	al	PROPN
brj-22315	74	9	.	.	PROPN
brj-22315	74	10	(	(	PUNCT
brj-22315	74	11	2023	2023	NUM
brj-22315	74	12	)	)	PUNCT
brj-22315	74	13	.	.	PUNCT
brj-22315	75	1	“	"	PUNCT
brj-22315	75	2	non	non	ADJ
brj-22315	75	3	-	-	ADJ
brj-22315	75	4	destructive	destructive	ADJ
brj-22315	75	5	wood	wood	NOUN
brj-22315	75	6	testing	testing	NOUN
brj-22315	75	7	,	,	PUNCT
brj-22315	75	8	”	"	PUNCT
brj-22315	75	9	bioresources	bioresource	NOUN
brj-22315	75	10	18(2	18(2	NUM
brj-22315	75	11	)	)	PUNCT
brj-22315	75	12	,	,	PUNCT
brj-22315	75	13	3620	3620	NUM
brj-22315	75	14	-	-	SYM
brj-22315	75	15	3641	3641	NUM
brj-22315	75	16	.	.	PUNCT
brj-22315	76	1	3623	3623	NUM
brj-22315	76	2	experimental	experimental	ADJ
brj-22315	76	3	materials	material	NOUN
brj-22315	76	4	logs	log	NOUN
brj-22315	76	5	went	go	VERB
brj-22315	76	6	through	through	ADP
brj-22315	76	7	the	the	DET
brj-22315	76	8	initial	initial	ADJ
brj-22315	76	9	wood	wood	NOUN
brj-22315	76	10	working	working	NOUN
brj-22315	76	11	process	process	NOUN
brj-22315	76	12	,	,	PUNCT
brj-22315	76	13	for	for	ADP
brj-22315	76	14	instance	instance	NOUN
brj-22315	76	15	peeling	peel	VERB
brj-22315	76	16	or	or	CCONJ
brj-22315	76	17	debarking	debarking	NOUN
brj-22315	76	18	.	.	PUNCT
brj-22315	77	1	next	next	ADJ
brj-22315	77	2	,	,	PUNCT
brj-22315	77	3	wood	wood	NOUN
brj-22315	77	4	was	be	AUX
brj-22315	77	5	cut	cut	VERB
brj-22315	77	6	and	and	CCONJ
brj-22315	77	7	processed	process	VERB
brj-22315	77	8	into	into	ADP
brj-22315	77	9	solid	solid	ADJ
brj-22315	77	10	wood	wood	NOUN
brj-22315	77	11	panels	panel	NOUN
brj-22315	77	12	.	.	PUNCT
brj-22315	78	1	a	a	DET
brj-22315	78	2	set	set	NOUN
brj-22315	78	3	of	of	ADP
brj-22315	78	4	90	90	NUM
brj-22315	78	5	sheets	sheet	NOUN
brj-22315	78	6	of	of	ADP
brj-22315	78	7	solid	solid	ADJ
brj-22315	78	8	wood	wood	NOUN
brj-22315	78	9	panels	panel	NOUN
brj-22315	78	10	samples	sample	NOUN
brj-22315	78	11	were	be	AUX
brj-22315	78	12	processed	process	VERB
brj-22315	78	13	.	.	PUNCT
brj-22315	79	1	in	in	ADP
brj-22315	79	2	the	the	DET
brj-22315	79	3	lab	lab	NOUN
brj-22315	79	4	,	,	PUNCT
brj-22315	79	5	the	the	DET
brj-22315	79	6	solid	solid	ADJ
brj-22315	79	7	wood	wood	NOUN
brj-22315	79	8	boards	board	NOUN
brj-22315	79	9	were	be	AUX
brj-22315	79	10	kept	keep	VERB
brj-22315	79	11	at	at	ADP
brj-22315	79	12	5	5	NUM
brj-22315	79	13	°	°	ADP
brj-22315	79	14	c	c	NOUN
brj-22315	79	15	and	and	CCONJ
brj-22315	79	16	90	90	NUM
brj-22315	79	17	%	%	NOUN
brj-22315	79	18	relative	relative	ADJ
brj-22315	79	19	humidity	humidity	NOUN
brj-22315	79	20	.	.	PUNCT
brj-22315	80	1	before	before	ADP
brj-22315	80	2	spectroscopic	spectroscopic	ADJ
brj-22315	80	3	measurements	measurement	NOUN
brj-22315	80	4	,	,	PUNCT
brj-22315	80	5	the	the	DET
brj-22315	80	6	samples	sample	NOUN
brj-22315	80	7	were	be	AUX
brj-22315	80	8	equilibrated	equilibrate	VERB
brj-22315	80	9	to	to	ADP
brj-22315	80	10	room	room	NOUN
brj-22315	80	11	temperature	temperature	NOUN
brj-22315	80	12	(	(	PUNCT
brj-22315	80	13	25	25	NUM
brj-22315	80	14	°	°	NOUN
brj-22315	80	15	c	c	NOUN
brj-22315	80	16	)	)	PUNCT
brj-22315	80	17	.	.	PUNCT
brj-22315	81	1	spectra	spectra	PROPN
brj-22315	81	2	were	be	AUX
brj-22315	81	3	collected	collect	VERB
brj-22315	81	4	from	from	ADP
brj-22315	81	5	samples	sample	NOUN
brj-22315	81	6	in	in	ADP
brj-22315	81	7	reflectance	reflectance	NOUN
brj-22315	81	8	mode	mode	NOUN
brj-22315	81	9	(	(	PUNCT
brj-22315	81	10	log	log	NOUN
brj-22315	81	11	1	1	NUM
brj-22315	81	12	/	/	SYM
brj-22315	81	13	r	r	NOUN
brj-22315	81	14	)	)	PUNCT
brj-22315	81	15	using	use	VERB
brj-22315	81	16	two	two	NUM
brj-22315	81	17	nirs	nir	NOUN
brj-22315	81	18	-	-	PUNCT
brj-22315	81	19	instruments	instrument	NOUN
brj-22315	81	20	,	,	PUNCT
brj-22315	81	21	and	and	CCONJ
brj-22315	81	22	2	2	NUM
brj-22315	81	23	batches	batch	NOUN
brj-22315	81	24	of	of	ADP
brj-22315	81	25	nir	nir	ADJ
brj-22315	81	26	samples	sample	NOUN
brj-22315	81	27	were	be	AUX
brj-22315	81	28	established	establish	VERB
brj-22315	81	29	:	:	PUNCT
brj-22315	81	30	(	(	PUNCT
brj-22315	81	31	1	1	X
brj-22315	81	32	)	)	PUNCT
brj-22315	81	33	portable	portable	ADJ
brj-22315	81	34	nirs	nir	NOUN
brj-22315	81	35	(	(	PUNCT
brj-22315	81	36	ingaas)-array	ingaas)-array	ADJ
brj-22315	81	37	spectrometer	spectrometer	NOUN
brj-22315	81	38	(	(	PUNCT
brj-22315	81	39	nirquest512	nirquest512	PROPN
brj-22315	81	40	,	,	PUNCT
brj-22315	81	41	orlando	orlando	PROPN
brj-22315	81	42	,	,	PUNCT
brj-22315	81	43	fl	fl	PROPN
brj-22315	81	44	,	,	PUNCT
brj-22315	81	45	usa	usa	PROPN
brj-22315	81	46	)	)	PUNCT
brj-22315	81	47	and	and	CCONJ
brj-22315	81	48	(	(	PUNCT
brj-22315	81	49	2	2	X
brj-22315	81	50	)	)	PUNCT
brj-22315	81	51	hsi	hsi	PROPN
brj-22315	81	52	camera	camera	NOUN
brj-22315	81	53	(	(	PUNCT
brj-22315	81	54	specim	specim	PROPN
brj-22315	81	55	fx17	fx17	PROPN
brj-22315	81	56	,	,	PUNCT
brj-22315	81	57	oulu	oulu	PROPN
brj-22315	81	58	,	,	PUNCT
brj-22315	81	59	finland	finland	PROPN
brj-22315	81	60	)	)	PUNCT
brj-22315	81	61	.	.	PUNCT
brj-22315	82	1	the	the	DET
brj-22315	82	2	smart	smart	ADJ
brj-22315	82	3	pls	pls	INTJ
brj-22315	82	4	(	(	PUNCT
brj-22315	82	5	3.2.8	3.2.8	NUM
brj-22315	82	6	)	)	PUNCT
brj-22315	82	7	statistical	statistical	ADJ
brj-22315	82	8	tool	tool	NOUN
brj-22315	82	9	was	be	AUX
brj-22315	82	10	used	use	VERB
brj-22315	82	11	to	to	PART
brj-22315	82	12	examine	examine	VERB
brj-22315	82	13	the	the	DET
brj-22315	82	14	data	datum	NOUN
brj-22315	82	15	through	through	ADP
brj-22315	82	16	partial	partial	ADJ
brj-22315	82	17	least	least	ADJ
brj-22315	82	18	square	square	ADJ
brj-22315	82	19	equation	equation	NOUN
brj-22315	82	20	modeling	modeling	NOUN
brj-22315	82	21	(	(	PUNCT
brj-22315	82	22	pls	pls	INTJ
brj-22315	82	23	-	-	PUNCT
brj-22315	82	24	sem	sem	NOUN
brj-22315	82	25	)	)	PUNCT
brj-22315	82	26	,	,	PUNCT
brj-22315	82	27	and	and	CCONJ
brj-22315	82	28	matlab	matlab	PROPN
brj-22315	82	29	,	,	PUNCT
brj-22315	82	30	a	a	DET
brj-22315	82	31	proprietary	proprietary	ADJ
brj-22315	82	32	multi	multi	ADJ
brj-22315	82	33	-	-	ADJ
brj-22315	82	34	paradigm	paradigm	ADJ
brj-22315	82	35	programming	programming	NOUN
brj-22315	82	36	language	language	NOUN
brj-22315	82	37	and	and	CCONJ
brj-22315	82	38	numeric	numeric	ADJ
brj-22315	82	39	computing	computing	NOUN
brj-22315	82	40	environment	environment	NOUN
brj-22315	82	41	developed	develop	VERB
brj-22315	82	42	by	by	ADP
brj-22315	82	43	mathworks	mathworks	PROPN
brj-22315	82	44	,	,	PUNCT
brj-22315	82	45	was	be	AUX
brj-22315	82	46	used	use	VERB
brj-22315	82	47	to	to	PART
brj-22315	82	48	propose	propose	VERB
brj-22315	82	49	a	a	DET
brj-22315	82	50	novel	novel	ADJ
brj-22315	82	51	model	model	NOUN
brj-22315	82	52	to	to	PART
brj-22315	82	53	achieve	achieve	VERB
brj-22315	82	54	calibration	calibration	NOUN
brj-22315	82	55	transfer	transfer	NOUN
brj-22315	82	56	.	.	PUNCT
brj-22315	83	1	figure	figure	NOUN
brj-22315	83	2	1	1	NUM
brj-22315	83	3	illustrates	illustrate	VERB
brj-22315	83	4	the	the	DET
brj-22315	83	5	hsi	hsi	PROPN
brj-22315	83	6	camera	camera	NOUN
brj-22315	83	7	.	.	PUNCT
brj-22315	84	1	a	a	DET
brj-22315	84	2	line	line	NOUN
brj-22315	84	3	-	-	PUNCT
brj-22315	84	4	scan	scan	NOUN
brj-22315	84	5	mode	mode	PROPN
brj-22315	84	6	specim	specim	PROPN
brj-22315	84	7	fx17	fx17	PROPN
brj-22315	84	8	provided	provide	VERB
brj-22315	84	9	with	with	ADP
brj-22315	84	10	a	a	DET
brj-22315	84	11	transport	transport	NOUN
brj-22315	84	12	module	module	NOUN
brj-22315	84	13	was	be	AUX
brj-22315	84	14	used	use	VERB
brj-22315	84	15	to	to	PART
brj-22315	84	16	measure	measure	VERB
brj-22315	84	17	all	all	DET
brj-22315	84	18	spectra	spectra	NOUN
brj-22315	84	19	in	in	ADP
brj-22315	84	20	the	the	DET
brj-22315	84	21	scanning	scanning	NOUN
brj-22315	84	22	range	range	NOUN
brj-22315	84	23	of	of	ADP
brj-22315	84	24	900	900	NUM
brj-22315	84	25	to	to	PART
brj-22315	84	26	1700	1700	NUM
brj-22315	84	27	nm	nm	NOUN
brj-22315	84	28	,	,	PUNCT
brj-22315	84	29	at	at	ADP
brj-22315	84	30	8	8	NUM
brj-22315	84	31	nm	nm	NOUN
brj-22315	84	32	intervals	interval	NOUN
brj-22315	84	33	.	.	PUNCT
brj-22315	85	1	a	a	DET
brj-22315	85	2	rectangular	rectangular	ADJ
brj-22315	85	3	natural	natural	ADJ
brj-22315	85	4	product	product	NOUN
brj-22315	85	5	cell	cell	NOUN
brj-22315	85	6	with	with	ADP
brj-22315	85	7	a	a	DET
brj-22315	85	8	window	window	NOUN
brj-22315	85	9	surface	surface	NOUN
brj-22315	85	10	of	of	ADP
brj-22315	85	11	94.9	94.9	NUM
brj-22315	85	12	cm2	cm2	NOUN
brj-22315	85	13	was	be	AUX
brj-22315	85	14	used	use	VERB
brj-22315	85	15	.	.	PUNCT
brj-22315	86	1	each	each	DET
brj-22315	86	2	spectrum	spectrum	NOUN
brj-22315	86	3	was	be	AUX
brj-22315	86	4	the	the	DET
brj-22315	86	5	average	average	NOUN
brj-22315	86	6	of	of	ADP
brj-22315	86	7	32	32	NUM
brj-22315	86	8	scans	scan	NOUN
brj-22315	86	9	.	.	PUNCT
brj-22315	87	1	spectra	spectra	PROPN
brj-22315	87	2	were	be	AUX
brj-22315	87	3	captured	capture	VERB
brj-22315	87	4	using	use	VERB
brj-22315	87	5	the	the	DET
brj-22315	87	6	cameralink	cameralink	NOUN
brj-22315	87	7	and	and	CCONJ
brj-22315	87	8	gige	gige	PROPN
brj-22315	87	9	vision	vision	PROPN
brj-22315	87	10	camera	camera	NOUN
brj-22315	87	11	interface	interface	NOUN
brj-22315	87	12	in	in	ADP
brj-22315	87	13	conjunction	conjunction	NOUN
brj-22315	87	14	with	with	ADP
brj-22315	87	15	the	the	DET
brj-22315	87	16	lumo	lumo	PROPN
brj-22315	87	17	software	software	PROPN
brj-22315	87	18	development	development	NOUN
brj-22315	87	19	kit	kit	NOUN
brj-22315	87	20	(	(	PUNCT
brj-22315	87	21	lumo	lumo	PROPN
brj-22315	87	22	development	development	PROPN
brj-22315	87	23	kit	kit	PROPN
brj-22315	87	24	,	,	PUNCT
brj-22315	87	25	oulu	oulu	PROPN
brj-22315	87	26	,	,	PUNCT
brj-22315	87	27	finland	finland	PROPN
brj-22315	87	28	)	)	PUNCT
brj-22315	87	29	.	.	PUNCT
brj-22315	88	1	fig	fig	NOUN
brj-22315	88	2	.	.	PUNCT
brj-22315	89	1	1	1	X
brj-22315	89	2	.	.	X
brj-22315	89	3	specim	specim	PROPN
brj-22315	89	4	fx17	fx17	PROPN
brj-22315	89	5	camera	camera	NOUN
brj-22315	89	6	figure	figure	NOUN
brj-22315	89	7	2	2	NUM
brj-22315	89	8	shows	show	VERB
brj-22315	89	9	the	the	DET
brj-22315	89	10	nirs	nirs	PROPN
brj-22315	89	11	spectrometer	spectrometer	NOUN
brj-22315	89	12	.	.	PUNCT
brj-22315	90	1	the	the	DET
brj-22315	90	2	second	second	ADJ
brj-22315	90	3	instrument	instrument	NOUN
brj-22315	90	4	was	be	AUX
brj-22315	90	5	a	a	DET
brj-22315	90	6	nirquest512	nirquest512	PROPN
brj-22315	90	7	spectrometer	spectrometer	NOUN
brj-22315	90	8	based	base	VERB
brj-22315	90	9	on	on	ADP
brj-22315	90	10	an	an	DET
brj-22315	90	11	array	array	NOUN
brj-22315	90	12	detector	detector	NOUN
brj-22315	90	13	.	.	PUNCT
brj-22315	91	1	the	the	DET
brj-22315	91	2	spectrometer	spectrometer	NOUN
brj-22315	91	3	with	with	ADP
brj-22315	91	4	an	an	DET
brj-22315	91	5	ingaas	ingaas	NOUN
brj-22315	91	6	array	array	NOUN
brj-22315	91	7	work	work	NOUN
brj-22315	91	8	in	in	ADP
brj-22315	91	9	the	the	DET
brj-22315	91	10	range	range	NOUN
brj-22315	91	11	from	from	ADP
brj-22315	91	12	900	900	NUM
brj-22315	91	13	to	to	PART
brj-22315	91	14	1700	1700	NUM
brj-22315	91	15	nm	nm	NOUN
brj-22315	91	16	,	,	PUNCT
brj-22315	91	17	with	with	ADP
brj-22315	91	18	a	a	DET
brj-22315	91	19	spectral	spectral	ADJ
brj-22315	91	20	wavelength	wavelength	NOUN
brj-22315	91	21	interval	interval	NOUN
brj-22315	91	22	of	of	ADP
brj-22315	91	23	3.1	3.1	NUM
brj-22315	91	24	nm	nm	NOUN
brj-22315	91	25	.	.	PUNCT
brj-22315	92	1	the	the	DET
brj-22315	92	2	distance	distance	NOUN
brj-22315	92	3	from	from	ADP
brj-22315	92	4	the	the	DET
brj-22315	92	5	sample	sample	NOUN
brj-22315	92	6	surface	surface	NOUN
brj-22315	92	7	to	to	ADP
brj-22315	92	8	the	the	DET
brj-22315	92	9	sensing	sense	VERB
brj-22315	92	10	head	head	NOUN
brj-22315	92	11	was	be	AUX
brj-22315	92	12	approximately	approximately	ADV
brj-22315	92	13	13	13	NUM
brj-22315	92	14	mm	mm	NOUN
brj-22315	92	15	.	.	PUNCT
brj-22315	93	1	with	with	ADP
brj-22315	93	2	an	an	DET
brj-22315	93	3	integration	integration	NOUN
brj-22315	93	4	time	time	NOUN
brj-22315	93	5	of	of	ADP
brj-22315	93	6	5	5	NUM
brj-22315	93	7	s	s	NOUN
brj-22315	93	8	,	,	PUNCT
brj-22315	93	9	10	10	NUM
brj-22315	93	10	scans	scan	NOUN
brj-22315	93	11	were	be	AUX
brj-22315	93	12	averaged	average	VERB
brj-22315	93	13	for	for	ADP
brj-22315	93	14	each	each	DET
brj-22315	93	15	measurement	measurement	NOUN
brj-22315	93	16	.	.	PUNCT
brj-22315	94	1	a	a	DET
brj-22315	94	2	total	total	NOUN
brj-22315	94	3	of	of	ADP
brj-22315	94	4	30	30	NUM
brj-22315	94	5	spectra	spectra	NOUN
brj-22315	94	6	of	of	ADP
brj-22315	94	7	each	each	DET
brj-22315	94	8	sample	sample	NOUN
brj-22315	94	9	were	be	AUX
brj-22315	94	10	acquired	acquire	VERB
brj-22315	94	11	,	,	PUNCT
brj-22315	94	12	and	and	CCONJ
brj-22315	94	13	the	the	DET
brj-22315	94	14	mean	mean	ADJ
brj-22315	94	15	spectrum	spectrum	NOUN
brj-22315	94	16	was	be	AUX
brj-22315	94	17	used	use	VERB
brj-22315	94	18	for	for	ADP
brj-22315	94	19	data	data	NOUN
brj-22315	94	20	processing	processing	NOUN
brj-22315	94	21	.	.	PUNCT
brj-22315	95	1	all	all	DET
brj-22315	95	2	spectra	spectra	PROPN
brj-22315	95	3	were	be	AUX
brj-22315	95	4	recorded	record	VERB
brj-22315	95	5	using	use	VERB
brj-22315	95	6	spectrasuite	spectrasuite	NOUN
brj-22315	95	7	2.0	2.0	NUM
brj-22315	95	8	(	(	PUNCT
brj-22315	95	9	quadrangle	quadrangle	PROPN
brj-22315	95	10	blvd	blvd	PROPN
brj-22315	95	11	,	,	PUNCT
brj-22315	95	12	orlando	orlando	PROPN
brj-22315	95	13	,	,	PUNCT
brj-22315	95	14	fl	fl	PROPN
brj-22315	95	15	,	,	PUNCT
brj-22315	95	16	usa	usa	PROPN
brj-22315	95	17	)	)	PUNCT
brj-22315	95	18	.	.	PUNCT
brj-22315	96	1	hyperspectral	hyperspectral	ADJ
brj-22315	96	2	imaging	imaging	NOUN
brj-22315	96	3	cameras	camera	NOUN
brj-22315	96	4	ptfe	ptfe	VERB
brj-22315	96	5	conveyer	conveyer	PROPN
brj-22315	96	6	table	table	NOUN
brj-22315	96	7	electric	electric	PROPN
brj-22315	96	8	motor	motor	PROPN
brj-22315	96	9	solid	solid	ADJ
brj-22315	96	10	wood	wood	NOUN
brj-22315	96	11	panel	panel	NOUN
brj-22315	96	12	computer	computer	NOUN
brj-22315	96	13	peer	peer	NOUN
brj-22315	96	14	-	-	PUNCT
brj-22315	96	15	reviewed	review	VERB
brj-22315	96	16	article	article	NOUN
brj-22315	96	17	bioresources.com	bioresources.com	X
brj-22315	96	18	jiang	jiang	PROPN
brj-22315	96	19	et	et	PROPN
brj-22315	96	20	al	al	PROPN
brj-22315	96	21	.	.	PROPN
brj-22315	97	1	(	(	PUNCT
brj-22315	97	2	2023	2023	NUM
brj-22315	97	3	)	)	PUNCT
brj-22315	97	4	.	.	PUNCT
brj-22315	98	1	“	"	PUNCT
brj-22315	98	2	non	non	ADJ
brj-22315	98	3	-	-	ADJ
brj-22315	98	4	destructive	destructive	ADJ
brj-22315	98	5	wood	wood	NOUN
brj-22315	98	6	testing	testing	NOUN
brj-22315	98	7	,	,	PUNCT
brj-22315	98	8	”	"	PUNCT
brj-22315	98	9	bioresources	bioresource	NOUN
brj-22315	98	10	18(2	18(2	NUM
brj-22315	98	11	)	)	PUNCT
brj-22315	98	12	,	,	PUNCT
brj-22315	98	13	3620	3620	NUM
brj-22315	98	14	-	-	SYM
brj-22315	98	15	3641	3641	NUM
brj-22315	98	16	.	.	PUNCT
brj-22315	99	1	3624	3624	NUM
brj-22315	99	2	this	this	DET
brj-22315	99	3	study	study	NOUN
brj-22315	99	4	focused	focus	VERB
brj-22315	99	5	on	on	ADP
brj-22315	99	6	the	the	DET
brj-22315	99	7	restoration	restoration	NOUN
brj-22315	99	8	and	and	CCONJ
brj-22315	99	9	maintenance	maintenance	NOUN
brj-22315	99	10	of	of	ADP
brj-22315	99	11	ancient	ancient	ADJ
brj-22315	99	12	wooden	wooden	ADJ
brj-22315	99	13	structures	structure	NOUN
brj-22315	99	14	,	,	PUNCT
brj-22315	99	15	specifically	specifically	ADV
brj-22315	99	16	the	the	DET
brj-22315	99	17	ancient	ancient	ADJ
brj-22315	99	18	bucket	bucket	NOUN
brj-22315	99	19	arch	arch	NOUN
brj-22315	99	20	structures	structure	NOUN
brj-22315	99	21	found	find	VERB
brj-22315	99	22	in	in	ADP
brj-22315	99	23	china	china	PROPN
brj-22315	99	24	.	.	PUNCT
brj-22315	100	1	in	in	ADP
brj-22315	100	2	analyzing	analyze	VERB
brj-22315	100	3	these	these	DET
brj-22315	100	4	structures	structure	NOUN
brj-22315	100	5	,	,	PUNCT
brj-22315	100	6	it	it	PRON
brj-22315	100	7	is	be	AUX
brj-22315	100	8	equally	equally	ADV
brj-22315	100	9	important	important	ADJ
brj-22315	100	10	to	to	PART
brj-22315	100	11	consider	consider	VERB
brj-22315	100	12	both	both	PRON
brj-22315	100	13	their	their	PRON
brj-22315	100	14	ultimate	ultimate	ADJ
brj-22315	100	15	strength	strength	NOUN
brj-22315	100	16	index	index	NOUN
brj-22315	100	17	and	and	CCONJ
brj-22315	100	18	their	their	PRON
brj-22315	100	19	stiffness	stiffness	ADJ
brj-22315	100	20	index	index	NOUN
brj-22315	100	21	.	.	PUNCT
brj-22315	101	1	the	the	DET
brj-22315	101	2	study	study	NOUN
brj-22315	101	3	focused	focus	VERB
brj-22315	101	4	on	on	ADP
brj-22315	101	5	the	the	DET
brj-22315	101	6	wood	wood	NOUN
brj-22315	101	7	strength	strength	NOUN
brj-22315	101	8	both	both	CCONJ
brj-22315	101	9	under	under	ADP
brj-22315	101	10	flexural	flexural	ADJ
brj-22315	101	11	and	and	CCONJ
brj-22315	101	12	tension	tension	NOUN
brj-22315	101	13	stresses	stress	NOUN
brj-22315	101	14	.	.	PUNCT
brj-22315	102	1	the	the	DET
brj-22315	102	2	mechanical	mechanical	ADJ
brj-22315	102	3	testing	testing	NOUN
brj-22315	102	4	material	material	NOUN
brj-22315	102	5	used	use	VERB
brj-22315	102	6	in	in	ADP
brj-22315	102	7	this	this	DET
brj-22315	102	8	study	study	NOUN
brj-22315	102	9	was	be	AUX
brj-22315	102	10	birch	birch	NOUN
brj-22315	102	11	wood	wood	NOUN
brj-22315	102	12	grown	grow	VERB
brj-22315	102	13	in	in	ADP
brj-22315	102	14	northeast	northeast	ADJ
brj-22315	102	15	china	china	PROPN
brj-22315	102	16	,	,	PUNCT
brj-22315	102	17	which	which	PRON
brj-22315	102	18	was	be	AUX
brj-22315	102	19	collected	collect	VERB
brj-22315	102	20	from	from	ADP
brj-22315	102	21	the	the	DET
brj-22315	102	22	chonghe	chonghe	NOUN
brj-22315	102	23	forest	forest	NOUN
brj-22315	102	24	farm	farm	NOUN
brj-22315	102	25	of	of	ADP
brj-22315	102	26	the	the	DET
brj-22315	102	27	forestry	forestry	PROPN
brj-22315	102	28	bureau	bureau	PROPN
brj-22315	102	29	of	of	ADP
brj-22315	102	30	wuchang	wuchang	PROPN
brj-22315	102	31	city	city	PROPN
brj-22315	102	32	,	,	PUNCT
brj-22315	102	33	heilongjiang	heilongjiang	PROPN
brj-22315	102	34	province	province	PROPN
brj-22315	102	35	.	.	PUNCT
brj-22315	103	1	the	the	DET
brj-22315	103	2	forest	forest	NOUN
brj-22315	103	3	farm	farm	NOUN
brj-22315	103	4	is	be	AUX
brj-22315	103	5	characterized	characterize	VERB
brj-22315	103	6	by	by	ADP
brj-22315	103	7	continuous	continuous	ADJ
brj-22315	103	8	mountains	mountain	NOUN
brj-22315	103	9	,	,	PUNCT
brj-22315	103	10	criss	criss	ADJ
brj-22315	103	11	-	-	PUNCT
brj-22315	103	12	crossing	crossing	NOUN
brj-22315	103	13	terrain	terrain	NOUN
brj-22315	103	14	,	,	PUNCT
brj-22315	103	15	high	high	ADJ
brj-22315	103	16	elevation	elevation	NOUN
brj-22315	103	17	in	in	ADP
brj-22315	103	18	the	the	DET
brj-22315	103	19	east	east	ADJ
brj-22315	103	20	and	and	CCONJ
brj-22315	103	21	low	low	ADJ
brj-22315	103	22	elevation	elevation	NOUN
brj-22315	103	23	in	in	ADP
brj-22315	103	24	the	the	DET
brj-22315	103	25	west	west	NOUN
brj-22315	103	26	,	,	PUNCT
brj-22315	103	27	a	a	DET
brj-22315	103	28	dense	dense	ADJ
brj-22315	103	29	river	river	NOUN
brj-22315	103	30	network	network	NOUN
brj-22315	103	31	,	,	PUNCT
brj-22315	103	32	and	and	CCONJ
brj-22315	103	33	abundant	abundant	ADJ
brj-22315	103	34	water	water	NOUN
brj-22315	103	35	sources	source	NOUN
brj-22315	103	36	.	.	PUNCT
brj-22315	104	1	the	the	DET
brj-22315	104	2	geographical	geographical	ADJ
brj-22315	104	3	location	location	NOUN
brj-22315	104	4	and	and	CCONJ
brj-22315	104	5	environmental	environmental	ADJ
brj-22315	104	6	conditions	condition	NOUN
brj-22315	104	7	are	be	AUX
brj-22315	104	8	detailed	detail	VERB
brj-22315	104	9	in	in	ADP
brj-22315	104	10	table	table	NOUN
brj-22315	104	11	1	1	NUM
brj-22315	104	12	.	.	PUNCT
brj-22315	104	13	table	table	NOUN
brj-22315	104	14	1	1	NUM
brj-22315	104	15	.	.	PUNCT
brj-22315	105	1	climatic	climatic	ADJ
brj-22315	105	2	conditions	condition	NOUN
brj-22315	105	3	of	of	ADP
brj-22315	105	4	log	log	NOUN
brj-22315	105	5	collection	collection	NOUN
brj-22315	105	6	areas	area	NOUN
brj-22315	105	7	latitude	latitude	NOUN
brj-22315	105	8	longitude	longitude	ADJ
brj-22315	105	9	average	average	ADJ
brj-22315	105	10	altitude	altitude	NOUN
brj-22315	105	11	(	(	PUNCT
brj-22315	105	12	m	m	NOUN
brj-22315	105	13	)	)	PUNCT
brj-22315	105	14	max	max	PROPN
brj-22315	105	15	.	.	PUNCT
brj-22315	105	16	temp	temp	NOUN
brj-22315	105	17	.	.	PUNCT
brj-22315	106	1	(	(	PUNCT
brj-22315	106	2	°	°	ADP
brj-22315	106	3	c	c	NOUN
brj-22315	106	4	)	)	PUNCT
brj-22315	106	5	minimum	minimum	ADJ
brj-22315	106	6	temp	temp	NOUN
brj-22315	106	7	.	.	PUNCT
brj-22315	107	1	(	(	PUNCT
brj-22315	107	2	°	°	ADP
brj-22315	107	3	c	c	NOUN
brj-22315	107	4	)	)	PUNCT
brj-22315	107	5	annual	annual	ADJ
brj-22315	107	6	average	average	ADJ
brj-22315	107	7	temp	temp	NOUN
brj-22315	107	8	.	.	PUNCT
brj-22315	108	1	(	(	PUNCT
brj-22315	108	2	°	°	ADP
brj-22315	108	3	c	c	NOUN
brj-22315	108	4	)	)	PUNCT
brj-22315	108	5	annual	annual	ADJ
brj-22315	108	6	precipitation	precipitation	NOUN
brj-22315	108	7	(	(	PUNCT
brj-22315	108	8	mm	mm	NOUN
brj-22315	108	9	)	)	PUNCT
brj-22315	108	10	annual	annual	ADJ
brj-22315	108	11	evaporation	evaporation	NOUN
brj-22315	108	12	(	(	PUNCT
brj-22315	108	13	mm	mm	NOUN
brj-22315	108	14	)	)	PUNCT
brj-22315	108	15	44	44	NUM
brj-22315	108	16	°	°	NUM
brj-22315	108	17	37′~44	37′~44	NUM
brj-22315	108	18	°	°	ADP
brj-22315	108	19	47′n	47′n	NOUN
brj-22315	108	20	127	127	NUM
brj-22315	108	21	°	°	NOUN
brj-22315	108	22	35′~127	35′~127	NUM
brj-22315	108	23	°	°	NOUN
brj-22315	108	24	55′e	55′e	NUM
brj-22315	108	25	350	350	NUM
brj-22315	108	26	35	35	NUM
brj-22315	108	27	-34	-34	SYM
brj-22315	108	28	2.3	2.3	NUM
brj-22315	108	29	750	750	NUM
brj-22315	108	30	340	340	NUM
brj-22315	108	31	within	within	ADP
brj-22315	108	32	the	the	DET
brj-22315	108	33	birch	birch	NOUN
brj-22315	108	34	forest	forest	NOUN
brj-22315	108	35	,	,	PUNCT
brj-22315	108	36	three	three	NUM
brj-22315	108	37	groups	group	NOUN
brj-22315	108	38	of	of	ADP
brj-22315	108	39	sample	sample	NOUN
brj-22315	108	40	trees	tree	NOUN
brj-22315	108	41	were	be	AUX
brj-22315	108	42	selected	select	VERB
brj-22315	108	43	based	base	VERB
brj-22315	108	44	on	on	ADP
brj-22315	108	45	their	their	PRON
brj-22315	108	46	elevation	elevation	NOUN
brj-22315	108	47	,	,	PUNCT
brj-22315	108	48	with	with	ADP
brj-22315	108	49	each	each	DET
brj-22315	108	50	group	group	NOUN
brj-22315	108	51	containing	contain	VERB
brj-22315	108	52	four	four	NUM
brj-22315	108	53	trees	tree	NOUN
brj-22315	108	54	for	for	ADP
brj-22315	108	55	a	a	DET
brj-22315	108	56	total	total	NOUN
brj-22315	108	57	of	of	ADP
brj-22315	108	58	12	12	NUM
brj-22315	108	59	sample	sample	NOUN
brj-22315	108	60	trees	tree	NOUN
brj-22315	108	61	.	.	PUNCT
brj-22315	109	1	the	the	DET
brj-22315	109	2	trees	tree	NOUN
brj-22315	109	3	were	be	AUX
brj-22315	109	4	20	20	NUM
brj-22315	109	5	years	year	NOUN
brj-22315	109	6	old	old	ADJ
brj-22315	109	7	,	,	PUNCT
brj-22315	109	8	with	with	ADP
brj-22315	109	9	a	a	DET
brj-22315	109	10	height	height	NOUN
brj-22315	109	11	of	of	ADP
brj-22315	109	12	12	12	NUM
brj-22315	109	13	to	to	PART
brj-22315	109	14	14	14	NUM
brj-22315	109	15	m	m	NOUN
brj-22315	109	16	and	and	CCONJ
brj-22315	109	17	a	a	DET
brj-22315	109	18	diameter	diameter	NOUN
brj-22315	109	19	at	at	ADP
brj-22315	109	20	breast	breast	NOUN
brj-22315	109	21	height	height	NOUN
brj-22315	109	22	of	of	ADP
brj-22315	109	23	16	16	NUM
brj-22315	109	24	to	to	PART
brj-22315	109	25	17	17	NUM
brj-22315	109	26	cm	cm	NOUN
brj-22315	109	27	.	.	PUNCT
brj-22315	110	1	after	after	ADP
brj-22315	110	2	marking	mark	VERB
brj-22315	110	3	the	the	DET
brj-22315	110	4	growth	growth	NOUN
brj-22315	110	5	direction	direction	NOUN
brj-22315	110	6	of	of	ADP
brj-22315	110	7	each	each	DET
brj-22315	110	8	tree	tree	NOUN
brj-22315	110	9	,	,	PUNCT
brj-22315	110	10	the	the	DET
brj-22315	110	11	sample	sample	NOUN
brj-22315	110	12	logs	log	NOUN
brj-22315	110	13	were	be	AUX
brj-22315	110	14	felled	fell	VERB
brj-22315	110	15	,	,	PUNCT
brj-22315	110	16	and	and	CCONJ
brj-22315	110	17	the	the	DET
brj-22315	110	18	logs	log	NOUN
brj-22315	110	19	were	be	AUX
brj-22315	110	20	cut	cut	VERB
brj-22315	110	21	at	at	ADP
brj-22315	110	22	chest	chest	NOUN
brj-22315	110	23	height	height	NOUN
brj-22315	110	24	(	(	PUNCT
brj-22315	110	25	about	about	ADV
brj-22315	110	26	1.3	1.3	NUM
brj-22315	110	27	m	m	NOUN
brj-22315	110	28	above	above	ADP
brj-22315	110	29	the	the	DET
brj-22315	110	30	ground	ground	NOUN
brj-22315	110	31	)	)	PUNCT
brj-22315	110	32	.	.	PUNCT
brj-22315	111	1	to	to	PART
brj-22315	111	2	highlight	highlight	VERB
brj-22315	111	3	the	the	DET
brj-22315	111	4	differences	difference	NOUN
brj-22315	111	5	in	in	ADP
brj-22315	111	6	mechanical	mechanical	ADJ
brj-22315	111	7	properties	property	NOUN
brj-22315	111	8	of	of	ADP
brj-22315	111	9	the	the	DET
brj-22315	111	10	test	test	NOUN
brj-22315	111	11	materials	material	NOUN
brj-22315	111	12	,	,	PUNCT
brj-22315	111	13	interval	interval	NOUN
brj-22315	111	14	sampling	sampling	NOUN
brj-22315	111	15	was	be	AUX
brj-22315	111	16	adopted	adopt	VERB
brj-22315	111	17	during	during	ADP
brj-22315	111	18	cutting	cut	VERB
brj-22315	111	19	to	to	PART
brj-22315	111	20	account	account	NOUN
brj-22315	111	21	for	for	ADP
brj-22315	111	22	the	the	DET
brj-22315	111	23	distribution	distribution	NOUN
brj-22315	111	24	characteristics	characteristic	NOUN
brj-22315	111	25	of	of	ADP
brj-22315	111	26	mechanical	mechanical	ADJ
brj-22315	111	27	properties	property	NOUN
brj-22315	111	28	in	in	ADP
brj-22315	111	29	the	the	DET
brj-22315	111	30	vertical	vertical	ADJ
brj-22315	111	31	direction	direction	NOUN
brj-22315	111	32	.	.	PUNCT
brj-22315	112	1	specifically	specifically	ADV
brj-22315	112	2	,	,	PUNCT
brj-22315	112	3	wood	wood	NOUN
brj-22315	112	4	sections	section	NOUN
brj-22315	112	5	with	with	ADP
brj-22315	112	6	a	a	DET
brj-22315	112	7	length	length	NOUN
brj-22315	112	8	of	of	ADP
brj-22315	112	9	1	1	NUM
brj-22315	112	10	m	m	NOUN
brj-22315	112	11	were	be	AUX
brj-22315	112	12	cut	cut	VERB
brj-22315	112	13	for	for	ADP
brj-22315	112	14	processing	process	VERB
brj-22315	112	15	the	the	DET
brj-22315	112	16	bending	bend	VERB
brj-22315	112	17	test	test	NOUN
brj-22315	112	18	materials	material	NOUN
brj-22315	112	19	,	,	PUNCT
brj-22315	112	20	while	while	SCONJ
brj-22315	112	21	wood	wood	NOUN
brj-22315	112	22	sections	section	NOUN
brj-22315	112	23	with	with	ADP
brj-22315	112	24	a	a	DET
brj-22315	112	25	length	length	NOUN
brj-22315	112	26	of	of	ADP
brj-22315	112	27	2	2	NUM
brj-22315	112	28	m	m	NOUN
brj-22315	112	29	were	be	AUX
brj-22315	112	30	cut	cut	VERB
brj-22315	112	31	for	for	ADP
brj-22315	112	32	processing	process	VERB
brj-22315	112	33	the	the	DET
brj-22315	112	34	tensile	tensile	NOUN
brj-22315	112	35	test	test	NOUN
brj-22315	112	36	materials	material	NOUN
brj-22315	112	37	,	,	PUNCT
brj-22315	112	38	as	as	SCONJ
brj-22315	112	39	shown	show	VERB
brj-22315	112	40	in	in	ADP
brj-22315	112	41	fig	fig	NOUN
brj-22315	112	42	.	.	PUNCT
brj-22315	113	1	2	2	X
brj-22315	113	2	.	.	X
brj-22315	113	3	fig	fig	NOUN
brj-22315	113	4	.	.	PUNCT
brj-22315	114	1	2	2	NUM
brj-22315	114	2	.	.	X
brj-22315	114	3	schematic	schematic	ADJ
brj-22315	114	4	diagram	diagram	NOUN
brj-22315	114	5	of	of	ADP
brj-22315	114	6	wood	wood	NOUN
brj-22315	114	7	cutting	cutting	NOUN
brj-22315	114	8	process	process	NOUN
brj-22315	114	9	after	after	ADP
brj-22315	114	10	air	air	NOUN
brj-22315	114	11	-	-	PUNCT
brj-22315	114	12	drying	dry	VERB
brj-22315	114	13	,	,	PUNCT
brj-22315	114	14	the	the	DET
brj-22315	114	15	wood	wood	NOUN
brj-22315	114	16	section	section	NOUN
brj-22315	114	17	was	be	AUX
brj-22315	114	18	sawn	saw	VERB
brj-22315	114	19	,	,	PUNCT
brj-22315	114	20	excluding	exclude	VERB
brj-22315	114	21	the	the	DET
brj-22315	114	22	pithwood	pithwood	NOUN
brj-22315	114	23	and	and	CCONJ
brj-22315	114	24	without	without	ADP
brj-22315	114	25	distinguishing	distinguish	VERB
brj-22315	114	26	between	between	ADP
brj-22315	114	27	the	the	DET
brj-22315	114	28	heartwood	heartwood	NOUN
brj-22315	114	29	and	and	CCONJ
brj-22315	114	30	sapwood	sapwood	NOUN
brj-22315	114	31	.	.	PUNCT
brj-22315	115	1	first	first	ADJ
brj-22315	115	2	,	,	PUNCT
brj-22315	115	3	rough	rough	ADJ
brj-22315	115	4	strips	strip	NOUN
brj-22315	115	5	for	for	ADP
brj-22315	115	6	bending	bend	VERB
brj-22315	115	7	resistance	resistance	NOUN
brj-22315	115	8	were	be	AUX
brj-22315	115	9	made	make	VERB
brj-22315	115	10	,	,	PUNCT
brj-22315	115	11	and	and	CCONJ
brj-22315	115	12	then	then	ADV
brj-22315	115	13	bending	bend	VERB
brj-22315	115	14	strength	strength	NOUN
brj-22315	115	15	values	value	NOUN
brj-22315	115	16	of	of	ADP
brj-22315	115	17	samples	sample	NOUN
brj-22315	115	18	of	of	ADP
brj-22315	115	19	300	300	NUM
brj-22315	115	20	mm	mm	NOUN
brj-22315	115	21	×	×	NOUN
brj-22315	115	22	20	20	NUM
brj-22315	115	23	mm	mm	NOUN
brj-22315	115	24	×	×	NOUN
brj-22315	115	25	20	20	NUM
brj-22315	115	26	mm	mm	NOUN
brj-22315	115	27	were	be	AUX
brj-22315	115	28	prepared	prepare	VERB
brj-22315	115	29	in	in	ADP
brj-22315	115	30	accordance	accordance	NOUN
brj-22315	115	31	with	with	ADP
brj-22315	115	32	the	the	DET
brj-22315	115	33	chinese	chinese	ADJ
brj-22315	115	34	national	national	PROPN
brj-22315	115	35	standard	standard	PROPN
brj-22315	115	36	(	(	PUNCT
brj-22315	115	37	gb	gb	PROPN
brj-22315	115	38	/	/	SYM
brj-22315	115	39	t	t	NOUN
brj-22315	115	40	19282009	19282009	NUM
brj-22315	115	41	)	)	PUNCT
brj-22315	115	42	.	.	PUNCT
brj-22315	116	1	out	out	ADP
brj-22315	116	2	of	of	ADP
brj-22315	116	3	the	the	DET
brj-22315	116	4	total	total	ADJ
brj-22315	116	5	samples	sample	NOUN
brj-22315	116	6	,	,	PUNCT
brj-22315	116	7	90	90	NUM
brj-22315	116	8	flawless	flawless	ADJ
brj-22315	116	9	samples	sample	NOUN
brj-22315	116	10	were	be	AUX
brj-22315	116	11	selected	select	VERB
brj-22315	116	12	.	.	PUNCT
brj-22315	117	1	these	these	PRON
brj-22315	117	2	were	be	AUX
brj-22315	117	3	numbered	number	VERB
brj-22315	117	4	1	1	NUM
brj-22315	117	5	m	m	NUM
brj-22315	117	6	2	2	NUM
brj-22315	117	7	m	m	NUM
brj-22315	117	8	1	1	NUM
brj-22315	117	9	m	m	NUM
brj-22315	117	10	2	2	NUM
brj-22315	117	11	m	m	NUM
brj-22315	117	12	1	1	NUM
brj-22315	117	13	m	m	NUM
brj-22315	117	14	1.3	1.3	NUM
brj-22315	117	15	m	m	NOUN
brj-22315	117	16	peer	peer	NOUN
brj-22315	117	17	-	-	PUNCT
brj-22315	117	18	reviewed	review	VERB
brj-22315	117	19	article	article	NOUN
brj-22315	117	20	bioresources.com	bioresources.com	X
brj-22315	117	21	jiang	jiang	PROPN
brj-22315	117	22	et	et	PROPN
brj-22315	117	23	al	al	PROPN
brj-22315	117	24	.	.	PROPN
brj-22315	118	1	(	(	PUNCT
brj-22315	118	2	2023	2023	NUM
brj-22315	118	3	)	)	PUNCT
brj-22315	118	4	.	.	PUNCT
brj-22315	119	1	“	"	PUNCT
brj-22315	119	2	non	non	ADJ
brj-22315	119	3	-	-	ADJ
brj-22315	119	4	destructive	destructive	ADJ
brj-22315	119	5	wood	wood	NOUN
brj-22315	119	6	testing	testing	NOUN
brj-22315	119	7	,	,	PUNCT
brj-22315	119	8	”	"	PUNCT
brj-22315	119	9	bioresources	bioresource	NOUN
brj-22315	119	10	18(2	18(2	NUM
brj-22315	119	11	)	)	PUNCT
brj-22315	119	12	,	,	PUNCT
brj-22315	119	13	3620	3620	NUM
brj-22315	119	14	-	-	SYM
brj-22315	119	15	3641	3641	NUM
brj-22315	119	16	.	.	PUNCT
brj-22315	120	1	3625	3625	NUM
brj-22315	120	2	from	from	ADP
brj-22315	120	3	1	1	NUM
brj-22315	120	4	to	to	ADP
brj-22315	120	5	90	90	NUM
brj-22315	120	6	,	,	PUNCT
brj-22315	120	7	and	and	CCONJ
brj-22315	120	8	placed	place	VERB
brj-22315	120	9	in	in	ADP
brj-22315	120	10	a	a	DET
brj-22315	120	11	drying	dry	VERB
brj-22315	120	12	oven	oven	NOUN
brj-22315	120	13	to	to	PART
brj-22315	120	14	reduce	reduce	VERB
brj-22315	120	15	moisture	moisture	NOUN
brj-22315	120	16	content	content	NOUN
brj-22315	120	17	to	to	ADP
brj-22315	120	18	12	12	NUM
brj-22315	120	19	%	%	NOUN
brj-22315	120	20	.	.	PUNCT
brj-22315	121	1	to	to	PART
brj-22315	121	2	prevent	prevent	VERB
brj-22315	121	3	moisture	moisture	NOUN
brj-22315	121	4	from	from	ADP
brj-22315	121	5	affecting	affect	VERB
brj-22315	121	6	the	the	DET
brj-22315	121	7	samples	sample	NOUN
brj-22315	121	8	,	,	PUNCT
brj-22315	121	9	each	each	DET
brj-22315	121	10	one	one	NOUN
brj-22315	121	11	was	be	AUX
brj-22315	121	12	placed	place	VERB
brj-22315	121	13	in	in	ADP
brj-22315	121	14	an	an	DET
brj-22315	121	15	airtight	airtight	NOUN
brj-22315	121	16	plastic	plastic	NOUN
brj-22315	121	17	bag	bag	NOUN
brj-22315	121	18	.	.	PUNCT
brj-22315	122	1	reference	reference	NOUN
brj-22315	122	2	values	value	NOUN
brj-22315	122	3	for	for	ADP
brj-22315	122	4	flexural	flexural	ADJ
brj-22315	122	5	strength	strength	NOUN
brj-22315	122	6	and	and	CCONJ
brj-22315	122	7	tensile	tensile	NOUN
brj-22315	122	8	strength	strength	NOUN
brj-22315	122	9	in	in	ADP
brj-22315	122	10	solid	solid	ADJ
brj-22315	122	11	wood	wood	NOUN
brj-22315	122	12	panels	panel	NOUN
brj-22315	122	13	samples	sample	NOUN
brj-22315	122	14	were	be	AUX
brj-22315	122	15	determined	determine	VERB
brj-22315	122	16	using	use	VERB
brj-22315	122	17	official	official	ADJ
brj-22315	122	18	analysis	analysis	NOUN
brj-22315	122	19	methods	method	NOUN
brj-22315	122	20	.	.	PUNCT
brj-22315	123	1	on	on	ADP
brj-22315	123	2	solid	solid	ADJ
brj-22315	123	3	wood	wood	NOUN
brj-22315	123	4	panel	panel	NOUN
brj-22315	123	5	samples	sample	NOUN
brj-22315	123	6	,	,	PUNCT
brj-22315	123	7	flexural	flexural	ADJ
brj-22315	123	8	strength	strength	NOUN
brj-22315	123	9	was	be	AUX
brj-22315	123	10	determined	determine	VERB
brj-22315	123	11	using	use	VERB
brj-22315	123	12	the	the	DET
brj-22315	123	13	method	method	NOUN
brj-22315	123	14	of	of	ADP
brj-22315	123	15	testing	testing	NOUN
brj-22315	123	16	in	in	ADP
brj-22315	123	17	bending	bend	VERB
brj-22315	123	18	strength	strength	NOUN
brj-22315	123	19	of	of	ADP
brj-22315	123	20	wood	wood	NOUN
brj-22315	123	21	procedure	procedure	NOUN
brj-22315	123	22	(	(	PUNCT
brj-22315	123	23	gb	gb	ADP
brj-22315	123	24	1936.1	1936.1	NUM
brj-22315	123	25	-	-	SYM
brj-22315	123	26	2009	2009	NUM
brj-22315	123	27	)	)	PUNCT
brj-22315	123	28	,	,	PUNCT
brj-22315	123	29	which	which	PRON
brj-22315	123	30	was	be	AUX
brj-22315	123	31	proposed	propose	VERB
brj-22315	123	32	by	by	ADP
brj-22315	123	33	the	the	DET
brj-22315	123	34	standardization	standardization	NOUN
brj-22315	123	35	administration	administration	NOUN
brj-22315	123	36	of	of	ADP
brj-22315	123	37	china	china	PROPN
brj-22315	123	38	(	(	PUNCT
brj-22315	123	39	sac	sac	NOUN
brj-22315	123	40	,	,	PUNCT
brj-22315	123	41	2003	2003	NUM
brj-22315	123	42	)	)	PUNCT
brj-22315	123	43	.	.	PUNCT
brj-22315	124	1	the	the	DET
brj-22315	124	2	tensile	tensile	NOUN
brj-22315	124	3	strength	strength	NOUN
brj-22315	124	4	parallel	parallel	ADJ
brj-22315	124	5	to	to	ADP
brj-22315	124	6	grain	grain	NOUN
brj-22315	124	7	of	of	ADP
brj-22315	124	8	wood	wood	NOUN
brj-22315	124	9	(	(	PUNCT
brj-22315	124	10	gb	gb	NOUN
brj-22315	124	11	/	/	SYM
brj-22315	124	12	t	t	NOUN
brj-22315	124	13	1938.1	1938.1	NUM
brj-22315	124	14	-	-	SYM
brj-22315	124	15	2009	2009	NUM
brj-22315	124	16	)	)	PUNCT
brj-22315	124	17	was	be	AUX
brj-22315	124	18	used	use	VERB
brj-22315	124	19	to	to	PART
brj-22315	124	20	determine	determine	VERB
brj-22315	124	21	tensile	tensile	NOUN
brj-22315	124	22	strength	strength	NOUN
brj-22315	124	23	.	.	PUNCT
brj-22315	125	1	fig	fig	NOUN
brj-22315	125	2	.	.	PUNCT
brj-22315	126	1	3	3	X
brj-22315	126	2	.	.	X
brj-22315	126	3	nir	nir	PROPN
brj-22315	126	4	quest	quest	NOUN
brj-22315	126	5	512	512	NUM
brj-22315	126	6	spectrometer	spectrometer	NOUN
brj-22315	126	7	source	source	NOUN
brj-22315	126	8	instrument	instrument	NOUN
brj-22315	126	9	and	and	CCONJ
brj-22315	126	10	target	target	NOUN
brj-22315	126	11	instrument	instrument	NOUN
brj-22315	126	12	matrices	matrix	NOUN
brj-22315	126	13	are	be	AUX
brj-22315	126	14	used	use	VERB
brj-22315	126	15	to	to	PART
brj-22315	126	16	denote	denote	VERB
brj-22315	126	17	the	the	DET
brj-22315	126	18	primary	primary	ADJ
brj-22315	126	19	and	and	CCONJ
brj-22315	126	20	secondary	secondary	ADJ
brj-22315	126	21	spectra	spectra	NOUN
brj-22315	126	22	.	.	PUNCT
brj-22315	127	1	after	after	ADP
brj-22315	127	2	preprocessing	preprocesse	VERB
brj-22315	127	3	spectral	spectral	ADJ
brj-22315	127	4	data	datum	NOUN
brj-22315	127	5	,	,	PUNCT
brj-22315	127	6	90	90	NUM
brj-22315	127	7	samples	sample	NOUN
brj-22315	127	8	were	be	AUX
brj-22315	127	9	obtained	obtain	VERB
brj-22315	127	10	from	from	ADP
brj-22315	127	11	each	each	DET
brj-22315	127	12	instrument	instrument	NOUN
brj-22315	127	13	.	.	PUNCT
brj-22315	128	1	the	the	DET
brj-22315	128	2	source	source	NOUN
brj-22315	128	3	domain	domain	NOUN
brj-22315	128	4	dataset	dataset	NOUN
brj-22315	128	5	xsource	xsource	PROPN
brj-22315	128	6	(	(	PUNCT
brj-22315	128	7	90×512	90×512	NUM
brj-22315	128	8	)	)	PUNCT
brj-22315	128	9	,	,	PUNCT
brj-22315	128	10	target	target	NOUN
brj-22315	128	11	domain	domain	NOUN
brj-22315	128	12	dataset	dataset	NOUN
brj-22315	128	13	xtarget	xtarget	NOUN
brj-22315	128	14	(	(	PUNCT
brj-22315	128	15	90×224	90×224	NUM
brj-22315	128	16	)	)	PUNCT
brj-22315	128	17	,	,	PUNCT
brj-22315	128	18	and	and	CCONJ
brj-22315	128	19	y	y	PROPN
brj-22315	128	20	(	(	PUNCT
brj-22315	128	21	90×2	90×2	PROPN
brj-22315	128	22	)	)	PUNCT
brj-22315	128	23	,	,	PUNCT
brj-22315	128	24	were	be	AUX
brj-22315	128	25	divided	divide	VERB
brj-22315	128	26	into	into	ADP
brj-22315	128	27	three	three	NUM
brj-22315	128	28	groups	group	NOUN
brj-22315	128	29	:	:	PUNCT
brj-22315	128	30	transfer	transfer	NOUN
brj-22315	128	31	(	(	PUNCT
brj-22315	128	32	xt	xt	PROPN
brj-22315	128	33	,	,	PUNCT
brj-22315	128	34	yt	yt	PROPN
brj-22315	128	35	)	)	PUNCT
brj-22315	128	36	,	,	PUNCT
brj-22315	128	37	calibration	calibration	NOUN
brj-22315	128	38	(	(	PUNCT
brj-22315	128	39	xc	xc	PROPN
brj-22315	128	40	,	,	PUNCT
brj-22315	128	41	yc	yc	PROPN
brj-22315	128	42	)	)	PUNCT
brj-22315	128	43	and	and	CCONJ
brj-22315	128	44	prediction	prediction	NOUN
brj-22315	128	45	(	(	PUNCT
brj-22315	128	46	xp	xp	INTJ
brj-22315	128	47	,	,	PUNCT
brj-22315	128	48	yp	yp	PROPN
brj-22315	128	49	)	)	PUNCT
brj-22315	128	50	,	,	PUNCT
brj-22315	128	51	in	in	ADP
brj-22315	128	52	the	the	DET
brj-22315	128	53	following	follow	VERB
brj-22315	128	54	proportions	proportion	NOUN
brj-22315	128	55	:	:	PUNCT
brj-22315	128	56	60	60	NUM
brj-22315	128	57	%	%	NOUN
brj-22315	128	58	(	(	PUNCT
brj-22315	128	59	54	54	NUM
brj-22315	128	60	samples	sample	NOUN
brj-22315	128	61	)	)	PUNCT
brj-22315	128	62	,	,	PUNCT
brj-22315	128	63	10	10	NUM
brj-22315	128	64	%	%	NOUN
brj-22315	128	65	(	(	PUNCT
brj-22315	128	66	9	9	NUM
brj-22315	128	67	samples	sample	NOUN
brj-22315	128	68	)	)	PUNCT
brj-22315	128	69	and	and	CCONJ
brj-22315	128	70	30	30	NUM
brj-22315	128	71	%	%	NOUN
brj-22315	128	72	(	(	PUNCT
brj-22315	128	73	27	27	NUM
brj-22315	128	74	samples	sample	NOUN
brj-22315	128	75	)	)	PUNCT
brj-22315	128	76	,	,	PUNCT
brj-22315	128	77	respectively	respectively	ADV
brj-22315	128	78	.	.	PUNCT
brj-22315	129	1	the	the	DET
brj-22315	129	2	transfer	transfer	NOUN
brj-22315	129	3	set	set	NOUN
brj-22315	129	4	,	,	PUNCT
brj-22315	129	5	calibration	calibration	NOUN
brj-22315	129	6	set	set	NOUN
brj-22315	129	7	,	,	PUNCT
brj-22315	129	8	and	and	CCONJ
brj-22315	129	9	prediction	prediction	NOUN
brj-22315	129	10	set	set	NOUN
brj-22315	129	11	of	of	ADP
brj-22315	129	12	source	source	NOUN
brj-22315	129	13	spectra	spectra	NOUN
brj-22315	129	14	are	be	AUX
brj-22315	129	15	denoted	denote	VERB
brj-22315	129	16	by	by	ADP
brj-22315	129	17	xst	xst	PROPN
brj-22315	129	18	,	,	PUNCT
brj-22315	129	19	xsc	xsc	ADJ
brj-22315	129	20	,	,	PUNCT
brj-22315	129	21	and	and	CCONJ
brj-22315	129	22	xsp	xsp	PROPN
brj-22315	129	23	,	,	PUNCT
brj-22315	129	24	while	while	SCONJ
brj-22315	129	25	the	the	DET
brj-22315	129	26	analogous	analogous	ADJ
brj-22315	129	27	sets	set	NOUN
brj-22315	129	28	of	of	ADP
brj-22315	129	29	target	target	NOUN
brj-22315	129	30	spectra	spectra	NOUN
brj-22315	129	31	are	be	AUX
brj-22315	129	32	denoted	denote	VERB
brj-22315	129	33	by	by	ADP
brj-22315	129	34	xtt	xtt	PROPN
brj-22315	129	35	,	,	PUNCT
brj-22315	129	36	xtc	xtc	PROPN
brj-22315	129	37	,	,	PUNCT
brj-22315	129	38	and	and	CCONJ
brj-22315	129	39	xtp	xtp	PROPN
brj-22315	129	40	.	.	PUNCT
brj-22315	130	1	the	the	DET
brj-22315	130	2	parameter	parameter	NOUN
brj-22315	130	3	xtnew	xtnew	PROPN
brj-22315	130	4	represents	represent	VERB
brj-22315	130	5	the	the	DET
brj-22315	130	6	spectra	spectra	NOUN
brj-22315	130	7	corrected	correct	VERB
brj-22315	130	8	from	from	ADP
brj-22315	130	9	xpt	xpt	PROPN
brj-22315	130	10	by	by	ADP
brj-22315	130	11	calibration	calibration	NOUN
brj-22315	130	12	transfer	transfer	NOUN
brj-22315	130	13	,	,	PUNCT
brj-22315	130	14	whereas	whereas	SCONJ
brj-22315	130	15	ys	ys	PROPN
brj-22315	130	16	and	and	CCONJ
brj-22315	130	17	yt	yt	PROPN
brj-22315	130	18	represent	represent	VERB
brj-22315	130	19	the	the	DET
brj-22315	130	20	sample	sample	NOUN
brj-22315	130	21	concentrations	concentration	NOUN
brj-22315	130	22	that	that	PRON
brj-22315	130	23	correspond	correspond	VERB
brj-22315	130	24	to	to	ADP
brj-22315	130	25	the	the	DET
brj-22315	130	26	source	source	NOUN
brj-22315	130	27	and	and	CCONJ
brj-22315	130	28	target	target	NOUN
brj-22315	130	29	spectra	spectra	NOUN
brj-22315	130	30	,	,	PUNCT
brj-22315	130	31	respectively	respectively	ADV
brj-22315	130	32	.	.	PUNCT
brj-22315	131	1	in	in	ADP
brj-22315	131	2	this	this	DET
brj-22315	131	3	article	article	NOUN
brj-22315	131	4	,	,	PUNCT
brj-22315	131	5	the	the	DET
brj-22315	131	6	values	value	NOUN
brj-22315	131	7	of	of	ADP
brj-22315	131	8	ys	ys	NOUN
brj-22315	131	9	and	and	CCONJ
brj-22315	131	10	yt	yt	PROPN
brj-22315	131	11	are	be	AUX
brj-22315	131	12	the	the	DET
brj-22315	131	13	same	same	ADJ
brj-22315	131	14	.	.	PUNCT
brj-22315	132	1	calibration	calibration	NOUN
brj-22315	132	2	transfer	transfer	NOUN
brj-22315	132	3	based	base	VERB
brj-22315	132	4	on	on	ADP
brj-22315	132	5	cca	cca	PROPN
brj-22315	132	6	xst	xst	PROPN
brj-22315	132	7	and	and	CCONJ
brj-22315	132	8	xtt	xtt	NOUN
brj-22315	132	9	can	can	AUX
brj-22315	132	10	be	be	AUX
brj-22315	132	11	executed	execute	VERB
brj-22315	132	12	by	by	ADP
brj-22315	132	13	cca	cca	PROPN
brj-22315	132	14	:	:	PUNCT
brj-22315	132	15	(	(	PUNCT
brj-22315	132	16	1	1	X
brj-22315	132	17	)	)	PUNCT
brj-22315	132	18	(	(	PUNCT
brj-22315	132	19	2	2	X
brj-22315	132	20	)	)	PUNCT
brj-22315	132	21	where	where	SCONJ
brj-22315	132	22	tst	tst	NOUN
brj-22315	132	23	and	and	CCONJ
brj-22315	132	24	ttt	ttt	PROPN
brj-22315	132	25	stand	stand	VERB
brj-22315	132	26	for	for	ADP
brj-22315	132	27	the	the	DET
brj-22315	132	28	canonical	canonical	ADJ
brj-22315	132	29	weights	weight	NOUN
brj-22315	132	30	,	,	PUNCT
brj-22315	132	31	while	while	SCONJ
brj-22315	132	32	ps	ps	PROPN
brj-22315	132	33	and	and	CCONJ
brj-22315	132	34	pt	pt	PROPN
brj-22315	132	35	indicate	indicate	VERB
brj-22315	132	36	the	the	DET
brj-22315	132	37	corresponding	corresponding	ADJ
brj-22315	132	38	canonical	canonical	ADJ
brj-22315	132	39	scores	score	NOUN
brj-22315	132	40	of	of	ADP
brj-22315	132	41	xst	xst	PROPN
brj-22315	132	42	and	and	CCONJ
brj-22315	132	43	xtt	xtt	PROPN
brj-22315	132	44	,	,	PUNCT
brj-22315	132	45	respectively	respectively	ADV
brj-22315	132	46	.	.	PUNCT
brj-22315	133	1	the	the	DET
brj-22315	133	2	transfer	transfer	NOUN
brj-22315	133	3	matrix	matrix	NOUN
brj-22315	133	4	t	t	NOUN
brj-22315	133	5	was	be	AUX
brj-22315	133	6	computed	compute	VERB
brj-22315	133	7	as	as	SCONJ
brj-22315	133	8	follows	follow	VERB
brj-22315	133	9	,	,	PUNCT
brj-22315	133	10	1	1	NUM
brj-22315	133	11	t	t	NOUN
brj-22315	133	12	sf	sf	NOUN
brj-22315	133	13	p	p	PROPN
brj-22315	133	14	p+=	p+=	PROPN
brj-22315	133	15			PROPN
brj-22315	133	16	(	(	PUNCT
brj-22315	133	17	3	3	NUM
brj-22315	133	18	)	)	PUNCT
brj-22315	133	19	2	2	NUM
brj-22315	133	20	st	st	NOUN
brj-22315	133	21	tf	tf	NOUN
brj-22315	133	22	x	x	PROPN
brj-22315	133	23	p+=	p+=	PROPN
brj-22315	133	24			PROPN
brj-22315	133	25	(	(	PUNCT
brj-22315	133	26	4	4	NOUN
brj-22315	133	27	)	)	PUNCT
brj-22315	133	28	nirquest	nirqu	ADJ
brj-22315	133	29	polytetrafluoroethylene	polytetrafluoroethylene	NOUN
brj-22315	133	30	,	,	PUNCT
brj-22315	133	31	ptfe	ptfe	ADJ
brj-22315	133	32	near	near	ADV
brj-22315	133	33	-	-	PUNCT
brj-22315	133	34	infrared	infrare	VERB
brj-22315	133	35	detector	detector	NOUN
brj-22315	133	36	diffraction	diffraction	NOUN
brj-22315	133	37	grating	grate	VERB
brj-22315	133	38	solid	solid	ADJ
brj-22315	133	39	wood	wood	NOUN
brj-22315	133	40	panel	panel	NOUN
brj-22315	133	41	computer	computer	NOUN
brj-22315	133	42	optical	optical	ADJ
brj-22315	133	43	fiber	fiber	NOUN
brj-22315	133	44	connector	connector	NOUN
brj-22315	133	45	peer	peer	NOUN
brj-22315	133	46	-	-	PUNCT
brj-22315	133	47	reviewed	review	VERB
brj-22315	133	48	article	article	NOUN
brj-22315	133	49	bioresources.com	bioresources.com	X
brj-22315	133	50	jiang	jiang	PROPN
brj-22315	133	51	et	et	PROPN
brj-22315	133	52	al	al	PROPN
brj-22315	133	53	.	.	PROPN
brj-22315	134	1	(	(	PUNCT
brj-22315	134	2	2023	2023	NUM
brj-22315	134	3	)	)	PUNCT
brj-22315	134	4	.	.	PUNCT
brj-22315	135	1	“	"	PUNCT
brj-22315	135	2	non	non	ADJ
brj-22315	135	3	-	-	ADJ
brj-22315	135	4	destructive	destructive	ADJ
brj-22315	135	5	wood	wood	NOUN
brj-22315	135	6	testing	testing	NOUN
brj-22315	135	7	,	,	PUNCT
brj-22315	135	8	”	"	PUNCT
brj-22315	135	9	bioresources	bioresource	NOUN
brj-22315	135	10	18(2	18(2	NUM
brj-22315	135	11	)	)	PUNCT
brj-22315	135	12	,	,	PUNCT
brj-22315	135	13	3620	3620	NUM
brj-22315	135	14	-	-	SYM
brj-22315	135	15	3641	3641	NUM
brj-22315	135	16	.	.	PUNCT
brj-22315	136	1	3626	3626	NUM
brj-22315	136	2	2	2	NUM
brj-22315	136	3	1	1	NUM
brj-22315	136	4	stf	stf	NOUN
brj-22315	136	5	f	f	PROPN
brj-22315	137	1	f	f	PROPN
brj-22315	137	2	t=	t=	PROPN
brj-22315	137	3			PROPN
brj-22315	137	4			PROPN
brj-22315	137	5	(	(	PUNCT
brj-22315	137	6	5	5	NUM
brj-22315	137	7	)	)	PUNCT
brj-22315	137	8	where	where	SCONJ
brj-22315	137	9	superscript	superscript	PROPN
brj-22315	137	10	“	"	PUNCT
brj-22315	137	11	+	+	PROPN
brj-22315	137	12	”	"	PUNCT
brj-22315	137	13	represents	represent	VERB
brj-22315	137	14	the	the	DET
brj-22315	137	15	pseudo	pseudo	NOUN
brj-22315	137	16	-	-	NOUN
brj-22315	137	17	inverse	inverse	NOUN
brj-22315	137	18	,	,	PUNCT
brj-22315	137	19	and	and	CCONJ
brj-22315	137	20	both	both	PRON
brj-22315	137	21	f1	f1	NOUN
brj-22315	137	22	and	and	CCONJ
brj-22315	137	23	f2	f2	PROPN
brj-22315	137	24	are	be	AUX
brj-22315	137	25	interim	interim	ADJ
brj-22315	137	26	matrices	matrix	NOUN
brj-22315	137	27	for	for	ADP
brj-22315	137	28	calculating	calculate	VERB
brj-22315	137	29	f.	f.	PROPN
brj-22315	137	30	next	next	PROPN
brj-22315	137	31	,	,	PUNCT
brj-22315	137	32	the	the	DET
brj-22315	137	33	xtnew	xtnew	NOUN
brj-22315	137	34	corrected	correct	VERB
brj-22315	137	35	from	from	ADP
brj-22315	137	36	xsp	xsp	NOUN
brj-22315	137	37	can	can	AUX
brj-22315	137	38	be	be	AUX
brj-22315	137	39	obtained	obtain	VERB
brj-22315	137	40	by	by	ADP
brj-22315	137	41	right	right	ADJ
brj-22315	137	42	multiplying	multiply	VERB
brj-22315	137	43	f.	f.	PROPN
brj-22315	137	44	tnew	tnew	VERB
brj-22315	137	45	spx	spx	PROPN
brj-22315	137	46	f	f	PROPN
brj-22315	137	47	x=	x=	PROPN
brj-22315	137	48			PROPN
brj-22315	137	49	(	(	PUNCT
brj-22315	137	50	6	6	NUM
brj-22315	137	51	)	)	PUNCT
brj-22315	137	52	finally	finally	ADV
brj-22315	137	53	,	,	PUNCT
brj-22315	137	54	substituting	substitute	VERB
brj-22315	137	55	bnew	bnew	NOUN
brj-22315	137	56	into	into	ADP
brj-22315	137	57	the	the	DET
brj-22315	137	58	calibration	calibration	NOUN
brj-22315	137	59	model	model	NOUN
brj-22315	137	60	of	of	ADP
brj-22315	137	61	ac	ac	PROPN
brj-22315	137	62	can	can	AUX
brj-22315	137	63	yield	yield	VERB
brj-22315	137	64	the	the	DET
brj-22315	137	65	predicted	predict	VERB
brj-22315	137	66	values	value	NOUN
brj-22315	137	67	directly	directly	ADV
brj-22315	137	68	.	.	PUNCT
brj-22315	138	1	efea	efea	PROPN
brj-22315	138	2	-	-	PUNCT
brj-22315	138	3	fa	fa	NOUN
brj-22315	138	4	modeling	modeling	NOUN
brj-22315	138	5	generalizing	generalize	VERB
brj-22315	138	6	:	:	PUNCT
brj-22315	138	7	the	the	DET
brj-22315	138	8	pls	pls	NOUN
brj-22315	138	9	-	-	PUNCT
brj-22315	138	10	sem	sem	NOUN
brj-22315	138	11	modeling	modeling	NOUN
brj-22315	138	12	and	and	CCONJ
brj-22315	138	13	relationship	relationship	NOUN
brj-22315	138	14	with	with	ADP
brj-22315	138	15	the	the	DET
brj-22315	138	16	wood	wood	NOUN
brj-22315	138	17	biological	biological	ADJ
brj-22315	138	18	function	function	NOUN
brj-22315	138	19	pls	pls	NOUN
brj-22315	138	20	-	-	PUNCT
brj-22315	138	21	sem	sem	PROPN
brj-22315	138	22	is	be	AUX
brj-22315	138	23	a	a	DET
brj-22315	138	24	statistical	statistical	ADJ
brj-22315	138	25	technique	technique	NOUN
brj-22315	138	26	that	that	PRON
brj-22315	138	27	bears	bear	VERB
brj-22315	138	28	some	some	DET
brj-22315	138	29	resemblance	resemblance	NOUN
brj-22315	138	30	to	to	ADP
brj-22315	138	31	principal	principal	ADJ
brj-22315	138	32	components	component	NOUN
brj-22315	138	33	analysis	analysis	NOUN
brj-22315	138	34	;	;	PUNCT
brj-22315	138	35	however	however	ADV
brj-22315	138	36	,	,	PUNCT
brj-22315	138	37	instead	instead	ADV
brj-22315	138	38	of	of	ADP
brj-22315	138	39	finding	find	VERB
brj-22315	138	40	hyper	hyper	ADJ
brj-22315	138	41	-	-	NOUN
brj-22315	138	42	planes	plane	NOUN
brj-22315	138	43	of	of	ADP
brj-22315	138	44	maximum	maximum	ADJ
brj-22315	138	45	variance	variance	NOUN
brj-22315	138	46	between	between	ADP
brj-22315	138	47	the	the	DET
brj-22315	138	48	response	response	NOUN
brj-22315	138	49	and	and	CCONJ
brj-22315	138	50	independent	independent	ADJ
brj-22315	138	51	variables	variable	NOUN
brj-22315	138	52	,	,	PUNCT
brj-22315	138	53	it	it	PRON
brj-22315	138	54	includes	include	VERB
brj-22315	138	55	a	a	DET
brj-22315	138	56	method	method	NOUN
brj-22315	138	57	for	for	ADP
brj-22315	138	58	assessing	assess	VERB
brj-22315	138	59	measurement	measurement	NOUN
brj-22315	138	60	model	model	NOUN
brj-22315	138	61	quality	quality	NOUN
brj-22315	138	62	known	know	VERB
brj-22315	138	63	as	as	ADP
brj-22315	138	64	cfa	cfa	PROPN
brj-22315	138	65	.	.	PUNCT
brj-22315	139	1	researchers	researcher	NOUN
brj-22315	139	2	have	have	AUX
brj-22315	139	3	began	begin	VERB
brj-22315	139	4	referring	refer	VERB
brj-22315	139	5	to	to	ADP
brj-22315	139	6	the	the	DET
brj-22315	139	7	measurement	measurement	NOUN
brj-22315	139	8	model	model	NOUN
brj-22315	139	9	assessment	assessment	NOUN
brj-22315	139	10	stage	stage	NOUN
brj-22315	139	11	in	in	ADP
brj-22315	139	12	pls	pls	NOUN
brj-22315	139	13	-	-	PUNCT
brj-22315	139	14	sem	sem	NOUN
brj-22315	139	15	as	as	ADP
brj-22315	139	16	cca	cca	PROPN
brj-22315	139	17	in	in	ADP
brj-22315	139	18	recent	recent	ADJ
brj-22315	139	19	years	year	NOUN
brj-22315	139	20	(	(	PUNCT
brj-22315	139	21	henseler	henseler	X
brj-22315	139	22	et	et	PROPN
brj-22315	139	23	al	al	PROPN
brj-22315	139	24	.	.	PROPN
brj-22315	139	25	2014	2014	NUM
brj-22315	139	26	;	;	PUNCT
brj-22315	139	27	schuberth	schuberth	NOUN
brj-22315	139	28	et	et	PROPN
brj-22315	139	29	al	al	PROPN
brj-22315	139	30	.	.	PROPN
brj-22315	139	31	2018	2018	NUM
brj-22315	139	32	)	)	PUNCT
brj-22315	139	33	.	.	PUNCT
brj-22315	140	1	cca	cca	PROPN
brj-22315	140	2	is	be	AUX
brj-22315	140	3	a	a	DET
brj-22315	140	4	methodical	methodical	ADJ
brj-22315	140	5	procedure	procedure	NOUN
brj-22315	140	6	for	for	ADP
brj-22315	140	7	systematically	systematically	ADV
brj-22315	140	8	validating	validate	VERB
brj-22315	140	9	measurement	measurement	NOUN
brj-22315	140	10	models	model	NOUN
brj-22315	140	11	in	in	ADP
brj-22315	140	12	pls	pls	NOUN
brj-22315	140	13	-	-	PUNCT
brj-22315	140	14	sem	sem	NOUN
brj-22315	140	15	.	.	PUNCT
brj-22315	141	1	when	when	SCONJ
brj-22315	141	2	conducting	conduct	VERB
brj-22315	141	3	cca	cca	NOUN
brj-22315	141	4	with	with	ADP
brj-22315	141	5	formative	formative	ADJ
brj-22315	141	6	composite	composite	ADJ
brj-22315	141	7	measurement	measurement	NOUN
brj-22315	141	8	models	model	NOUN
brj-22315	141	9	,	,	PUNCT
brj-22315	141	10	the	the	DET
brj-22315	141	11	formative	formative	ADJ
brj-22315	141	12	composite	composite	ADJ
brj-22315	141	13	measurement	measurement	NOUN
brj-22315	141	14	models	model	NOUN
brj-22315	141	15	are	be	AUX
brj-22315	141	16	linear	linear	ADJ
brj-22315	141	17	combinations	combination	NOUN
brj-22315	141	18	of	of	ADP
brj-22315	141	19	the	the	DET
brj-22315	141	20	construct	construct	NOUN
brj-22315	141	21	’s	’s	PART
brj-22315	141	22	indicators	indicator	NOUN
brj-22315	141	23	.	.	PUNCT
brj-22315	142	1	the	the	DET
brj-22315	142	2	indicators	indicator	NOUN
brj-22315	142	3	are	be	AUX
brj-22315	142	4	deemed	deem	VERB
brj-22315	142	5	causal	causal	ADV
brj-22315	142	6	and	and	CCONJ
brj-22315	142	7	do	do	AUX
brj-22315	142	8	not	not	PART
brj-22315	142	9	always	always	ADV
brj-22315	142	10	co	co	VERB
brj-22315	142	11	-	-	ADJ
brj-22315	142	12	vary	vary	ADJ
brj-22315	142	13	,	,	PUNCT
brj-22315	142	14	pointing	point	VERB
brj-22315	142	15	from	from	ADP
brj-22315	142	16	the	the	DET
brj-22315	142	17	measured	measure	VERB
brj-22315	142	18	variables	variable	NOUN
brj-22315	142	19	to	to	ADP
brj-22315	142	20	the	the	DET
brj-22315	142	21	composite	composite	ADJ
brj-22315	142	22	concept	concept	NOUN
brj-22315	142	23	.	.	PUNCT
brj-22315	143	1	therefore	therefore	ADV
brj-22315	143	2	,	,	PUNCT
brj-22315	143	3	the	the	DET
brj-22315	143	4	internal	internal	ADJ
brj-22315	143	5	consistency	consistency	NOUN
brj-22315	143	6	principles	principle	NOUN
brj-22315	143	7	underlying	underlie	VERB
brj-22315	143	8	reflective	reflective	ADJ
brj-22315	143	9	measurement	measurement	NOUN
brj-22315	143	10	models	model	NOUN
brj-22315	143	11	can	can	AUX
brj-22315	143	12	not	not	PART
brj-22315	143	13	be	be	AUX
brj-22315	143	14	applied	apply	VERB
brj-22315	143	15	to	to	ADP
brj-22315	143	16	formative	formative	ADJ
brj-22315	143	17	measurement	measurement	NOUN
brj-22315	143	18	models	model	NOUN
brj-22315	143	19	.	.	PUNCT
brj-22315	144	1	due	due	ADP
brj-22315	144	2	to	to	ADP
brj-22315	144	3	its	its	PRON
brj-22315	144	4	oriented	orient	VERB
brj-22315	144	5	fibers	fiber	NOUN
brj-22315	144	6	,	,	PUNCT
brj-22315	144	7	wood	wood	NOUN
brj-22315	144	8	has	have	AUX
brj-22315	144	9	been	be	AUX
brj-22315	144	10	viewed	view	VERB
brj-22315	144	11	as	as	ADP
brj-22315	144	12	an	an	DET
brj-22315	144	13	anisotropic	anisotropic	NOUN
brj-22315	144	14	material	material	NOUN
brj-22315	144	15	.	.	PUNCT
brj-22315	145	1	the	the	DET
brj-22315	145	2	tensile	tensile	NOUN
brj-22315	145	3	strength	strength	NOUN
brj-22315	145	4	of	of	ADP
brj-22315	145	5	wood	wood	NOUN
brj-22315	145	6	has	have	VERB
brj-22315	145	7	a	a	DET
brj-22315	145	8	high	high	ADJ
brj-22315	145	9	correlation	correlation	NOUN
brj-22315	145	10	with	with	ADP
brj-22315	145	11	the	the	DET
brj-22315	145	12	fiber	fiber	NOUN
brj-22315	145	13	angle	angle	NOUN
brj-22315	145	14	,	,	PUNCT
brj-22315	145	15	whereas	whereas	SCONJ
brj-22315	145	16	the	the	DET
brj-22315	145	17	tensile	tensile	NOUN
brj-22315	145	18	strength	strength	NOUN
brj-22315	145	19	of	of	ADP
brj-22315	145	20	wood	wood	NOUN
brj-22315	145	21	along	along	ADP
brj-22315	145	22	the	the	DET
brj-22315	145	23	grain	grain	NOUN
brj-22315	145	24	direction	direction	NOUN
brj-22315	145	25	is	be	AUX
brj-22315	145	26	more	more	ADV
brj-22315	145	27	dependent	dependent	ADJ
brj-22315	145	28	on	on	ADP
brj-22315	145	29	the	the	DET
brj-22315	145	30	fiber	fiber	NOUN
brj-22315	145	31	angle	angle	NOUN
brj-22315	145	32	and	and	CCONJ
brj-22315	145	33	the	the	DET
brj-22315	145	34	strength	strength	NOUN
brj-22315	145	35	of	of	ADP
brj-22315	145	36	bundles	bundle	NOUN
brj-22315	145	37	of	of	ADP
brj-22315	145	38	molecular	molecular	ADJ
brj-22315	145	39	chains	chain	NOUN
brj-22315	145	40	that	that	PRON
brj-22315	145	41	combine	combine	VERB
brj-22315	145	42	in	in	ADP
brj-22315	145	43	groups	group	NOUN
brj-22315	145	44	to	to	PART
brj-22315	145	45	form	form	VERB
brj-22315	145	46	the	the	DET
brj-22315	145	47	cellulose	cellulose	NOUN
brj-22315	145	48	fibres	fibre	NOUN
brj-22315	145	49	;	;	PUNCT
brj-22315	145	50	the	the	DET
brj-22315	145	51	flexural	flexural	ADJ
brj-22315	145	52	strength	strength	NOUN
brj-22315	145	53	of	of	ADP
brj-22315	145	54	wood	wood	NOUN
brj-22315	145	55	is	be	AUX
brj-22315	145	56	largely	largely	ADV
brj-22315	145	57	a	a	DET
brj-22315	145	58	function	function	NOUN
brj-22315	145	59	of	of	ADP
brj-22315	145	60	lignin	lignin	NOUN
brj-22315	145	61	.	.	PUNCT
brj-22315	146	1	lignin	lignin	PROPN
brj-22315	146	2	,	,	PUNCT
brj-22315	146	3	a	a	DET
brj-22315	146	4	crucial	crucial	ADJ
brj-22315	146	5	structural	structural	ADJ
brj-22315	146	6	component	component	NOUN
brj-22315	146	7	in	in	ADP
brj-22315	146	8	the	the	DET
brj-22315	146	9	supporting	support	VERB
brj-22315	146	10	tissues	tissue	NOUN
brj-22315	146	11	of	of	ADP
brj-22315	146	12	most	most	ADJ
brj-22315	146	13	plants	plant	NOUN
brj-22315	146	14	,	,	PUNCT
brj-22315	146	15	is	be	AUX
brj-22315	146	16	a	a	DET
brj-22315	146	17	reliable	reliable	ADJ
brj-22315	146	18	predictor	predictor	NOUN
brj-22315	146	19	of	of	ADP
brj-22315	146	20	flexural	flexural	ADJ
brj-22315	146	21	strength	strength	NOUN
brj-22315	146	22	and	and	CCONJ
brj-22315	146	23	stiffness	stiffness	NOUN
brj-22315	146	24	.	.	PUNCT
brj-22315	147	1	when	when	SCONJ
brj-22315	147	2	the	the	DET
brj-22315	147	3	sem	sem	NOUN
brj-22315	147	4	is	be	AUX
brj-22315	147	5	based	base	VERB
brj-22315	147	6	on	on	ADP
brj-22315	147	7	secondary	secondary	ADJ
brj-22315	147	8	data	datum	NOUN
brj-22315	147	9	,	,	PUNCT
brj-22315	147	10	a	a	DET
brj-22315	147	11	reflective	reflective	ADJ
brj-22315	147	12	or	or	CCONJ
brj-22315	147	13	formative	formative	ADJ
brj-22315	147	14	secondary	secondary	ADJ
brj-22315	147	15	measure	measure	NOUN
brj-22315	147	16	of	of	ADP
brj-22315	147	17	the	the	DET
brj-22315	147	18	same	same	ADJ
brj-22315	147	19	construct	construct	NOUN
brj-22315	147	20	should	should	AUX
brj-22315	147	21	be	be	AUX
brj-22315	147	22	identified	identify	VERB
brj-22315	147	23	and	and	CCONJ
brj-22315	147	24	used	use	VERB
brj-22315	147	25	as	as	ADP
brj-22315	147	26	a	a	DET
brj-22315	147	27	proxy	proxy	NOUN
brj-22315	147	28	variable	variable	NOUN
brj-22315	147	29	for	for	ADP
brj-22315	147	30	assessing	assess	VERB
brj-22315	147	31	the	the	DET
brj-22315	147	32	convergent	convergent	ADJ
brj-22315	147	33	validity	validity	NOUN
brj-22315	147	34	of	of	ADP
brj-22315	147	35	formative	formative	ADJ
brj-22315	147	36	constructs	construct	NOUN
brj-22315	147	37	.	.	PUNCT
brj-22315	148	1	it	it	PRON
brj-22315	148	2	is	be	AUX
brj-22315	148	3	possible	possible	ADJ
brj-22315	148	4	to	to	PART
brj-22315	148	5	identify	identify	VERB
brj-22315	148	6	acceptable	acceptable	ADJ
brj-22315	148	7	endogenous	endogenous	ADJ
brj-22315	148	8	reflectively	reflectively	ADV
brj-22315	148	9	assessed	assess	VERB
brj-22315	148	10	items	item	NOUN
brj-22315	148	11	for	for	ADP
brj-22315	148	12	use	use	NOUN
brj-22315	148	13	as	as	ADP
brj-22315	148	14	proxy	proxy	NOUN
brj-22315	148	15	variables	variable	NOUN
brj-22315	148	16	in	in	ADP
brj-22315	148	17	convergent	convergent	NOUN
brj-22315	148	18	validity	validity	NOUN
brj-22315	148	19	testing	testing	NOUN
brj-22315	148	20	by	by	ADP
brj-22315	148	21	analyzing	analyze	VERB
brj-22315	148	22	established	establish	VERB
brj-22315	148	23	scales	scale	NOUN
brj-22315	148	24	from	from	ADP
brj-22315	148	25	prior	prior	ADJ
brj-22315	148	26	research	research	NOUN
brj-22315	148	27	.	.	PUNCT
brj-22315	149	1	we	we	PRON
brj-22315	149	2	chose	choose	VERB
brj-22315	149	3	three	three	NUM
brj-22315	149	4	variables	variable	NOUN
brj-22315	149	5	for	for	ADP
brj-22315	149	6	this	this	DET
brj-22315	149	7	study	study	NOUN
brj-22315	149	8	:	:	PUNCT
brj-22315	149	9	lignocellulose	lignocellulose	VERB
brj-22315	149	10	,	,	PUNCT
brj-22315	149	11	moisture	moisture	NOUN
brj-22315	149	12	content	content	NOUN
brj-22315	149	13	,	,	PUNCT
brj-22315	149	14	and	and	CCONJ
brj-22315	149	15	lignin	lignin	NOUN
brj-22315	149	16	.	.	PUNCT
brj-22315	150	1	this	this	DET
brj-22315	150	2	study	study	NOUN
brj-22315	150	3	selected	select	VERB
brj-22315	150	4	as	as	ADP
brj-22315	150	5	observation	observation	NOUN
brj-22315	150	6	variables	variable	NOUN
brj-22315	150	7	from	from	ADP
brj-22315	150	8	the	the	DET
brj-22315	150	9	900	900	NUM
brj-22315	150	10	nm	nm	NOUN
brj-22315	150	11	to	to	ADP
brj-22315	150	12	1700	1700	NUM
brj-22315	150	13	nm	nm	NOUN
brj-22315	150	14	spectral	spectral	ADJ
brj-22315	150	15	bands	band	NOUN
brj-22315	150	16	1668	1668	NUM
brj-22315	150	17	nm	nm	NOUN
brj-22315	150	18	to	to	ADP
brj-22315	150	19	1684	1684	NUM
brj-22315	150	20	nm	nm	PROPN
brj-22315	150	21	,	,	PUNCT
brj-22315	150	22	1075	1075	NUM
brj-22315	150	23	nm	nm	NOUN
brj-22315	150	24	to	to	ADP
brj-22315	150	25	1250	1250	NUM
brj-22315	150	26	nm	nm	NOUN
brj-22315	150	27	,	,	PUNCT
brj-22315	150	28	1070	1070	NUM
brj-22315	150	29	nm	nm	VERB
brj-22315	150	30	to	to	ADP
brj-22315	150	31	1150	1150	NUM
brj-22315	150	32	nm	nm	NOUN
brj-22315	150	33	,	,	PUNCT
brj-22315	150	34	1366	1366	NUM
brj-22315	150	35	nm	nm	PROPN
brj-22315	150	36	,	,	PUNCT
brj-22315	150	37	1400	1400	NUM
brj-22315	150	38	nm	nm	NOUN
brj-22315	150	39	,	,	PUNCT
brj-22315	150	40	and	and	CCONJ
brj-22315	150	41	1428	1428	NUM
brj-22315	150	42	nm	nm	NOUN
brj-22315	150	43	,	,	PUNCT
brj-22315	150	44	based	base	VERB
brj-22315	150	45	on	on	ADP
brj-22315	150	46	previous	previous	ADJ
brj-22315	150	47	research	research	NOUN
brj-22315	150	48	on	on	ADP
brj-22315	150	49	the	the	DET
brj-22315	150	50	link	link	NOUN
brj-22315	150	51	between	between	ADP
brj-22315	150	52	nir	nir	NOUN
brj-22315	150	53	bands	band	NOUN
brj-22315	150	54	and	and	CCONJ
brj-22315	150	55	wood	wood	NOUN
brj-22315	150	56	strength	strength	NOUN
brj-22315	150	57	.	.	PUNCT
brj-22315	151	1	utilizing	utilize	VERB
brj-22315	151	2	three	three	NUM
brj-22315	151	3	variables	variable	NOUN
brj-22315	151	4	as	as	ADP
brj-22315	151	5	latent	latent	ADJ
brj-22315	151	6	variable	variable	ADJ
brj-22315	151	7	factors	factor	NOUN
brj-22315	151	8	.	.	PUNCT
brj-22315	152	1	the	the	DET
brj-22315	152	2	path	path	NOUN
brj-22315	152	3	dependence	dependence	NOUN
brj-22315	152	4	between	between	ADP
brj-22315	152	5	latent	latent	NOUN
brj-22315	152	6	variable	variable	ADJ
brj-22315	152	7	factors	factor	NOUN
brj-22315	152	8	(	(	PUNCT
brj-22315	152	9	lignin	lignin	NOUN
brj-22315	152	10	,	,	PUNCT
brj-22315	152	11	etc	etc	X
brj-22315	152	12	.	.	X
brj-22315	152	13	)	)	PUNCT
brj-22315	153	1	and	and	CCONJ
brj-22315	153	2	observable	observable	ADJ
brj-22315	153	3	variables	variable	NOUN
brj-22315	153	4	(	(	PUNCT
brj-22315	153	5	spectral	spectral	ADJ
brj-22315	153	6	bands	band	NOUN
brj-22315	153	7	)	)	PUNCT
brj-22315	153	8	is	be	AUX
brj-22315	153	9	established	establish	VERB
brj-22315	153	10	based	base	VERB
brj-22315	153	11	on	on	ADP
brj-22315	153	12	past	past	ADJ
brj-22315	153	13	research	research	NOUN
brj-22315	153	14	findings	finding	NOUN
brj-22315	153	15	,	,	PUNCT
brj-22315	153	16	and	and	CCONJ
brj-22315	153	17	a	a	DET
brj-22315	153	18	pls	pls	ADJ
brj-22315	153	19	-	-	PUNCT
brj-22315	153	20	sem	sem	NOUN
brj-22315	153	21	structural	structural	ADJ
brj-22315	153	22	equation	equation	NOUN
brj-22315	153	23	model	model	NOUN
brj-22315	153	24	is	be	AUX
brj-22315	153	25	created	create	VERB
brj-22315	153	26	.	.	PUNCT
brj-22315	154	1	efea	efea	PROPN
brj-22315	154	2	-	-	PUNCT
brj-22315	154	3	fa	fa	NOUN
brj-22315	154	4	modeling	modeling	NOUN
brj-22315	154	5	steps	step	NOUN
brj-22315	154	6	the	the	DET
brj-22315	154	7	efea	efea	PROPN
brj-22315	154	8	-	-	PUNCT
brj-22315	154	9	fa	fa	NOUN
brj-22315	154	10	model	model	NOUN
brj-22315	154	11	is	be	AUX
brj-22315	154	12	a	a	DET
brj-22315	154	13	new	new	ADJ
brj-22315	154	14	regression	regression	NOUN
brj-22315	154	15	model	model	NOUN
brj-22315	154	16	designed	design	VERB
brj-22315	154	17	by	by	ADP
brj-22315	154	18	the	the	DET
brj-22315	154	19	pls	pls	PROPN
brj-22315	154	20	-	-	PUNCT
brj-22315	154	21	sem	sem	NOUN
brj-22315	154	22	structural	structural	NOUN
brj-22315	154	23	.	.	PUNCT
brj-22315	155	1	as	as	ADP
brj-22315	155	2	a	a	DET
brj-22315	155	3	statistical	statistical	ADJ
brj-22315	155	4	method	method	NOUN
brj-22315	155	5	that	that	PRON
brj-22315	155	6	bears	bear	VERB
brj-22315	155	7	some	some	DET
brj-22315	155	8	resemblance	resemblance	NOUN
brj-22315	155	9	to	to	ADP
brj-22315	155	10	principal	principal	ADJ
brj-22315	155	11	components	component	NOUN
brj-22315	155	12	analysis	analysis	NOUN
brj-22315	155	13	,	,	PUNCT
brj-22315	155	14	rather	rather	ADV
brj-22315	155	15	than	than	ADP
brj-22315	155	16	finding	find	VERB
brj-22315	155	17	hyper	hyper	ADJ
brj-22315	155	18	-	-	NOUN
brj-22315	155	19	planes	plane	NOUN
brj-22315	155	20	of	of	ADP
brj-22315	155	21	maximum	maximum	ADJ
brj-22315	155	22	variance	variance	NOUN
brj-22315	155	23	between	between	ADP
brj-22315	155	24	the	the	DET
brj-22315	155	25	mechanical	mechanical	ADJ
brj-22315	155	26	peer	peer	NOUN
brj-22315	155	27	-	-	PUNCT
brj-22315	155	28	reviewed	review	VERB
brj-22315	155	29	article	article	NOUN
brj-22315	155	30	bioresources.com	bioresources.com	X
brj-22315	155	31	jiang	jiang	PROPN
brj-22315	155	32	et	et	PROPN
brj-22315	155	33	al	al	PROPN
brj-22315	155	34	.	.	PROPN
brj-22315	156	1	(	(	PUNCT
brj-22315	156	2	2023	2023	NUM
brj-22315	156	3	)	)	PUNCT
brj-22315	156	4	.	.	PUNCT
brj-22315	157	1	“	"	PUNCT
brj-22315	157	2	non	non	ADJ
brj-22315	157	3	-	-	ADJ
brj-22315	157	4	destructive	destructive	ADJ
brj-22315	157	5	wood	wood	NOUN
brj-22315	157	6	testing	testing	NOUN
brj-22315	157	7	,	,	PUNCT
brj-22315	157	8	”	"	PUNCT
brj-22315	157	9	bioresources	bioresource	NOUN
brj-22315	157	10	18(2	18(2	NUM
brj-22315	157	11	)	)	PUNCT
brj-22315	157	12	,	,	PUNCT
brj-22315	157	13	3620	3620	NUM
brj-22315	157	14	-	-	SYM
brj-22315	157	15	3641	3641	NUM
brj-22315	157	16	.	.	PUNCT
brj-22315	158	1	3627	3627	NUM
brj-22315	158	2	properties	property	NOUN
brj-22315	158	3	of	of	ADP
brj-22315	158	4	wood	wood	NOUN
brj-22315	158	5	and	and	CCONJ
brj-22315	158	6	the	the	DET
brj-22315	158	7	near	near	ADJ
brj-22315	158	8	infrared	infrared	ADJ
brj-22315	158	9	wavelength	wavelength	NOUN
brj-22315	158	10	spectrum	spectrum	NOUN
brj-22315	158	11	,	,	PUNCT
brj-22315	158	12	pls	pls	NOUN
brj-22315	158	13	-	-	PUNCT
brj-22315	158	14	sem	sem	NOUN
brj-22315	158	15	computes	compute	VERB
brj-22315	158	16	latent	latent	NOUN
brj-22315	158	17	variables	variable	NOUN
brj-22315	158	18	from	from	ADP
brj-22315	158	19	linear	linear	ADJ
brj-22315	158	20	combinations	combination	NOUN
brj-22315	158	21	of	of	ADP
brj-22315	158	22	sets	set	NOUN
brj-22315	158	23	of	of	ADP
brj-22315	158	24	specific	specific	ADJ
brj-22315	158	25	wavelengths	wavelength	NOUN
brj-22315	158	26	that	that	PRON
brj-22315	158	27	correspond	correspond	VERB
brj-22315	158	28	to	to	ADP
brj-22315	158	29	previous	previous	ADJ
brj-22315	158	30	research	research	NOUN
brj-22315	158	31	results	result	NOUN
brj-22315	158	32	to	to	PART
brj-22315	158	33	represent	represent	VERB
brj-22315	158	34	the	the	DET
brj-22315	158	35	concept	concept	NOUN
brj-22315	158	36	of	of	ADP
brj-22315	158	37	wood	wood	NOUN
brj-22315	158	38	biological	biological	ADJ
brj-22315	158	39	functions	function	NOUN
brj-22315	158	40	.	.	PUNCT
brj-22315	159	1	based	base	VERB
brj-22315	159	2	on	on	ADP
brj-22315	159	3	the	the	DET
brj-22315	159	4	pls	pls	PROPN
brj-22315	159	5	-	-	PUNCT
brj-22315	159	6	sem	sem	NOUN
brj-22315	159	7	calculated	calculate	VERB
brj-22315	159	8	factors	factor	NOUN
brj-22315	159	9	or	or	CCONJ
brj-22315	159	10	composites	composite	NOUN
brj-22315	159	11	,	,	PUNCT
brj-22315	159	12	we	we	PRON
brj-22315	159	13	developed	develop	VERB
brj-22315	159	14	the	the	DET
brj-22315	159	15	nir	nir	ADJ
brj-22315	159	16	spectral	spectral	ADJ
brj-22315	159	17	factor	factor	NOUN
brj-22315	159	18	analysis	analysis	NOUN
brj-22315	159	19	transfer	transfer	NOUN
brj-22315	159	20	model	model	NOUN
brj-22315	159	21	.	.	PUNCT
brj-22315	160	1	the	the	DET
brj-22315	160	2	measuring	measure	VERB
brj-22315	160	3	model	model	NOUN
brj-22315	160	4	and	and	CCONJ
brj-22315	160	5	the	the	DET
brj-22315	160	6	structural	structural	ADJ
brj-22315	160	7	model	model	NOUN
brj-22315	160	8	make	make	VERB
brj-22315	160	9	up	up	ADP
brj-22315	160	10	sem	sem	PROPN
brj-22315	160	11	.	.	PUNCT
brj-22315	161	1	a	a	DET
brj-22315	161	2	measurement	measurement	NOUN
brj-22315	161	3	model	model	NOUN
brj-22315	161	4	measures	measure	VERB
brj-22315	161	5	latent	latent	NOUN
brj-22315	161	6	variables	variable	NOUN
brj-22315	161	7	or	or	CCONJ
brj-22315	161	8	composite	composite	ADJ
brj-22315	161	9	variables	variable	NOUN
brj-22315	161	10	,	,	PUNCT
brj-22315	161	11	but	but	CCONJ
brj-22315	161	12	a	a	DET
brj-22315	161	13	structural	structural	ADJ
brj-22315	161	14	model	model	NOUN
brj-22315	161	15	examines	examine	VERB
brj-22315	161	16	all	all	DET
brj-22315	161	17	conceivable	conceivable	ADJ
brj-22315	161	18	dependencies	dependency	NOUN
brj-22315	161	19	using	use	VERB
brj-22315	161	20	path	path	NOUN
brj-22315	161	21	analysis	analysis	NOUN
brj-22315	161	22	.	.	PUNCT
brj-22315	162	1	this	this	PRON
brj-22315	162	2	is	be	AUX
brj-22315	162	3	how	how	SCONJ
brj-22315	162	4	the	the	DET
brj-22315	162	5	measurement	measurement	NOUN
brj-22315	162	6	model	model	NOUN
brj-22315	162	7	is	be	AUX
brj-22315	162	8	expressed	express	VERB
brj-22315	162	9	:	:	PUNCT
brj-22315	162	10	yy	yy	PROPN
brj-22315	162	11			NUM
brj-22315	162	12	=	=	NOUN
brj-22315	162	13			NOUN
brj-22315	162	14	+	+	CCONJ
brj-22315	162	15	(	(	PUNCT
brj-22315	162	16	7	7	NUM
brj-22315	162	17	)	)	PUNCT
brj-22315	162	18	x	x	X
brj-22315	162	19	x	x	PUNCT
brj-22315	163	1	=	=	NUM
brj-22315	163	2			NOUN
brj-22315	164	1	+	+	CCONJ
brj-22315	164	2	(	(	PUNCT
brj-22315	164	3	8)	8)	NUM
brj-22315	164	4	where	where	SCONJ
brj-22315	164	5	y	y	PROPN
brj-22315	164	6	is	be	AUX
brj-22315	164	7	the	the	DET
brj-22315	164	8	dependent	dependent	ADJ
brj-22315	164	9	variable	variable	NOUN
brj-22315	164	10	,	,	PUNCT
brj-22315	164	11	for	for	ADP
brj-22315	164	12	this	this	DET
brj-22315	164	13	study	study	NOUN
brj-22315	164	14	,	,	PUNCT
brj-22315	164	15	y	y	PROPN
brj-22315	164	16	is	be	AUX
brj-22315	164	17	the	the	DET
brj-22315	164	18	measured	measured	ADJ
brj-22315	164	19	value	value	NOUN
brj-22315	164	20	of	of	ADP
brj-22315	164	21	mechanical	mechanical	ADJ
brj-22315	164	22	properties	property	NOUN
brj-22315	164	23	for	for	ADP
brj-22315	164	24	wood	wood	NOUN
brj-22315	164	25	;	;	PUNCT
brj-22315	164	26	where	where	SCONJ
brj-22315	164	27	x	x	PRON
brj-22315	164	28	is	be	AUX
brj-22315	164	29	the	the	DET
brj-22315	164	30	independent	independent	ADJ
brj-22315	164	31	variable	variable	NOUN
brj-22315	164	32	,	,	PUNCT
brj-22315	164	33	for	for	ADP
brj-22315	164	34	this	this	DET
brj-22315	164	35	study	study	NOUN
brj-22315	164	36	,	,	PUNCT
brj-22315	164	37	x	x	X
brj-22315	164	38	is	be	AUX
brj-22315	164	39	the	the	DET
brj-22315	164	40	measured	measure	VERB
brj-22315	164	41	value	value	NOUN
brj-22315	164	42	of	of	ADP
brj-22315	164	43	nir	nir	NOUN
brj-22315	164	44	for	for	ADP
brj-22315	164	45	wood	wood	NOUN
brj-22315	164	46	;	;	PUNCT
brj-22315	164	47	y	y	PROPN
brj-22315	164	48	and	and	CCONJ
brj-22315	164	49	x	x	NOUN
brj-22315	164	50	are	be	AUX
brj-22315	164	51	pls	pls	ADJ
brj-22315	164	52	-	-	PUNCT
brj-22315	164	53	sem	sem	NOUN
brj-22315	164	54	loadings	loading	NOUN
brj-22315	164	55	matrices	matrix	NOUN
brj-22315	164	56	;	;	PUNCT
brj-22315	164	57			NUM
brj-22315	164	58	and	and	CCONJ
brj-22315	164	59			PROPN
brj-22315	164	60	are	be	AUX
brj-22315	164	61	errors	error	NOUN
brj-22315	164	62	;	;	PUNCT
brj-22315	164	63			NUM
brj-22315	164	64	and	and	CCONJ
brj-22315	164	65			NOUN
brj-22315	164	66	are	be	AUX
brj-22315	164	67	pls	pls	ADJ
brj-22315	164	68	-	-	PUNCT
brj-22315	164	69	sem	sem	NOUN
brj-22315	164	70	factors	factor	NOUN
brj-22315	164	71	;	;	PUNCT
brj-22315	164	72	the	the	DET
brj-22315	164	73	structural	structural	ADJ
brj-22315	164	74	model	model	NOUN
brj-22315	164	75	is	be	AUX
brj-22315	164	76	expressed	express	VERB
brj-22315	164	77	as	as	ADP
brj-22315	164	78	:	:	PUNCT
brj-22315	164	79	b	b	ADP
brj-22315	164	80			PUNCT
brj-22315	164	81			VERB
brj-22315	164	82	=	=	PRON
brj-22315	164	83	+	+	VERB
brj-22315	164	84			VERB
brj-22315	164	85	+	+	CCONJ
brj-22315	164	86	(	(	PUNCT
brj-22315	164	87	9	9	NUM
brj-22315	164	88	)	)	PUNCT
brj-22315	164	89	in	in	ADP
brj-22315	164	90	eq	eq	ADP
brj-22315	164	91	.	.	PROPN
brj-22315	164	92	9	9	NUM
brj-22315	164	93	,	,	PUNCT
brj-22315	164	94	b	b	NOUN
brj-22315	164	95	and	and	CCONJ
brj-22315	164	96			PROPN
brj-22315	164	97	are	be	AUX
brj-22315	164	98	relationship	relationship	NOUN
brj-22315	164	99	matrices	matrix	NOUN
brj-22315	164	100	;	;	PUNCT
brj-22315	164	101			X
brj-22315	164	102	is	be	AUX
brj-22315	164	103	residual	residual	ADJ
brj-22315	164	104	matrix	matrix	NOUN
brj-22315	164	105	.	.	PUNCT
brj-22315	165	1	according	accord	VERB
brj-22315	165	2	to	to	ADP
brj-22315	165	3	approximate	approximate	ADJ
brj-22315	165	4	estimation	estimation	NOUN
brj-22315	165	5	and	and	CCONJ
brj-22315	165	6	iterative	iterative	NOUN
brj-22315	165	7	optimization	optimization	NOUN
brj-22315	165	8	of	of	ADP
brj-22315	165	9	em	em	PRON
brj-22315	165	10	method	method	VERB
brj-22315	165	11	,	,	PUNCT
brj-22315	165	12	the	the	DET
brj-22315	165	13	optimal	optimal	ADJ
brj-22315	165	14	solution	solution	NOUN
brj-22315	165	15	of	of	ADP
brj-22315	165	16	pls	pls	PROPN
brj-22315	165	17	-	-	PUNCT
brj-22315	165	18	sem	sem	NOUN
brj-22315	165	19	relationship	relationship	NOUN
brj-22315	165	20	matrix	matrix	NOUN
brj-22315	165	21	and	and	CCONJ
brj-22315	165	22	factors	factor	NOUN
brj-22315	165	23	is	be	AUX
brj-22315	165	24	obtained	obtain	VERB
brj-22315	165	25	.	.	PUNCT
brj-22315	166	1	the	the	DET
brj-22315	166	2	simplified	simplified	ADJ
brj-22315	166	3	flow	flow	NOUN
brj-22315	166	4	chart	chart	NOUN
brj-22315	166	5	of	of	ADP
brj-22315	166	6	the	the	DET
brj-22315	166	7	model	model	NOUN
brj-22315	166	8	is	be	AUX
brj-22315	166	9	as	as	SCONJ
brj-22315	166	10	follows	follow	VERB
brj-22315	166	11	:	:	PUNCT
brj-22315	166	12	fig	fig	NOUN
brj-22315	166	13	.	.	PUNCT
brj-22315	167	1	4	4	X
brj-22315	167	2	.	.	X
brj-22315	167	3	pls	pls	ADJ
brj-22315	167	4	-	-	PUNCT
brj-22315	167	5	sem	sem	NOUN
brj-22315	167	6	framework	framework	NOUN
brj-22315	167	7	flowchart	flowchart	PROPN
brj-22315	167	8	preprocessing	preprocessing	NOUN
brj-22315	167	9	source	source	NOUN
brj-22315	167	10	domain	domain	NOUN
brj-22315	167	11	dataset	dataset	NOUN
brj-22315	167	12	target	target	NOUN
brj-22315	167	13	domain	domain	NOUN
brj-22315	167	14	dataset	dataset	NOUN
brj-22315	167	15	source	source	NOUN
brj-22315	167	16	std	std	NOUN
brj-22315	167	17	dataset	dataset	NOUN
brj-22315	167	18	target	target	NOUN
brj-22315	167	19	std	std	NOUN
brj-22315	167	20	dataset	dataset	NOUN
brj-22315	167	21	variables	variable	NOUN
brj-22315	167	22	normalized	normalize	VERB
brj-22315	167	23	minimize	minimize	VERB
brj-22315	167	24	the	the	DET
brj-22315	167	25	variance	variance	NOUN
brj-22315	167	26	optimizing	optimize	VERB
brj-22315	167	27	weights	weight	NOUN
brj-22315	167	28	determine	determine	VERB
brj-22315	167	29	the	the	DET
brj-22315	167	30	master	master	NOUN
brj-22315	167	31	and	and	CCONJ
brj-22315	167	32	slave	slave	NOUN
brj-22315	167	33	load	load	NOUN
brj-22315	167	34	matrix	matrix	NOUN
brj-22315	167	35	whether	whether	SCONJ
brj-22315	167	36	the	the	DET
brj-22315	167	37	factor	factor	NOUN
brj-22315	167	38	variance	variance	NOUN
brj-22315	167	39	is	be	AUX
brj-22315	167	40	1	1	NUM
brj-22315	167	41	calculate	calculate	NOUN
brj-22315	167	42	the	the	DET
brj-22315	167	43	transformation	transformation	NOUN
brj-22315	167	44	matrix	matrix	NOUN
brj-22315	168	1	yes	yes	INTJ
brj-22315	168	2	no	no	DET
brj-22315	168	3	peer	peer	NOUN
brj-22315	168	4	-	-	PUNCT
brj-22315	168	5	reviewed	review	VERB
brj-22315	168	6	article	article	NOUN
brj-22315	168	7	bioresources.com	bioresources.com	X
brj-22315	168	8	jiang	jiang	PROPN
brj-22315	168	9	et	et	PROPN
brj-22315	168	10	al	al	PROPN
brj-22315	168	11	.	.	PROPN
brj-22315	168	12	(	(	PUNCT
brj-22315	168	13	2023	2023	NUM
brj-22315	168	14	)	)	PUNCT
brj-22315	168	15	.	.	PUNCT
brj-22315	169	1	“	"	PUNCT
brj-22315	169	2	non	non	ADJ
brj-22315	169	3	-	-	ADJ
brj-22315	169	4	destructive	destructive	ADJ
brj-22315	169	5	wood	wood	NOUN
brj-22315	169	6	testing	testing	NOUN
brj-22315	169	7	,	,	PUNCT
brj-22315	169	8	”	"	PUNCT
brj-22315	169	9	bioresources	bioresource	NOUN
brj-22315	169	10	18(2	18(2	NUM
brj-22315	169	11	)	)	PUNCT
brj-22315	169	12	,	,	PUNCT
brj-22315	169	13	3620	3620	NUM
brj-22315	169	14	-	-	SYM
brj-22315	169	15	3641	3641	NUM
brj-22315	169	16	.	.	PUNCT
brj-22315	170	1	3628	3628	NUM
brj-22315	171	1	step	step	NOUN
brj-22315	171	2	1	1	NUM
brj-22315	171	3	:	:	PUNCT
brj-22315	171	4	establishing	establish	VERB
brj-22315	171	5	the	the	DET
brj-22315	171	6	pls	pls	PROPN
brj-22315	171	7	-	-	PUNCT
brj-22315	171	8	sem	sem	NOUN
brj-22315	171	9	path	path	NOUN
brj-22315	171	10	model	model	NOUN
brj-22315	171	11	of	of	ADP
brj-22315	171	12	wood	wood	NOUN
brj-22315	171	13	mechanical	mechanical	ADJ
brj-22315	171	14	properties	property	NOUN
brj-22315	171	15	.	.	PUNCT
brj-22315	172	1	step	step	NOUN
brj-22315	172	2	2	2	NUM
brj-22315	172	3	:	:	PUNCT
brj-22315	172	4	iterating	iterate	VERB
brj-22315	172	5	pls	pls	PROPN
brj-22315	172	6	-	-	PUNCT
brj-22315	172	7	sem	sem	NOUN
brj-22315	172	8	model	model	NOUN
brj-22315	172	9	to	to	PART
brj-22315	172	10	optimize	optimize	VERB
brj-22315	172	11	the	the	DET
brj-22315	172	12	relationship	relationship	NOUN
brj-22315	172	13	matrix	matrix	NOUN
brj-22315	172	14	,	,	PUNCT
brj-22315	172	15	latent	latent	NOUN
brj-22315	172	16	variables	variable	NOUN
brj-22315	172	17	and	and	CCONJ
brj-22315	172	18	parameters	parameter	NOUN
brj-22315	172	19	,	,	PUNCT
brj-22315	172	20	the	the	DET
brj-22315	172	21	algorithm	algorithm	NOUN
brj-22315	172	22	including	include	VERB
brj-22315	172	23	the	the	DET
brj-22315	172	24	apparent	apparent	ADJ
brj-22315	172	25	variables	variable	NOUN
brj-22315	172	26	normalized	normalize	VERB
brj-22315	172	27	,	,	PUNCT
brj-22315	172	28	the	the	DET
brj-22315	172	29	loading	loading	NOUN
brj-22315	172	30	matrix	matrix	NOUN
brj-22315	172	31	approximation	approximation	NOUN
brj-22315	172	32	estimation	estimation	NOUN
brj-22315	172	33	,	,	PUNCT
brj-22315	172	34	the	the	DET
brj-22315	172	35	relationship	relationship	NOUN
brj-22315	172	36	matrix	matrix	NOUN
brj-22315	172	37	approximation	approximation	NOUN
brj-22315	172	38	estimation	estimation	NOUN
brj-22315	172	39	and	and	CCONJ
brj-22315	172	40	weight	weight	NOUN
brj-22315	172	41	estimation	estimation	NOUN
brj-22315	172	42	.	.	PUNCT
brj-22315	173	1	the	the	DET
brj-22315	173	2	apparent	apparent	ADJ
brj-22315	173	3	variables	variable	NOUN
brj-22315	173	4	normalized	normalize	VERB
brj-22315	173	5	the	the	DET
brj-22315	173	6	nir	nir	ADJ
brj-22315	173	7	spectral	spectral	ADJ
brj-22315	173	8	band	band	NOUN
brj-22315	173	9	and	and	CCONJ
brj-22315	173	10	the	the	DET
brj-22315	173	11	mechanical	mechanical	ADJ
brj-22315	173	12	properties	property	NOUN
brj-22315	173	13	of	of	ADP
brj-22315	173	14	solid	solid	ADJ
brj-22315	173	15	wood	wood	NOUN
brj-22315	173	16	panels	panel	NOUN
brj-22315	173	17	are	be	AUX
brj-22315	173	18	normalized	normalize	VERB
brj-22315	173	19	:	:	PUNCT
brj-22315	173	20	(	(	PUNCT
brj-22315	173	21	)	)	PUNCT
brj-22315	173	22	(	(	PUNCT
brj-22315	173	23	)	)	PUNCT
brj-22315	173	24	(	(	PUNCT
brj-22315	173	25	)	)	PUNCT
brj-22315	173	26	0tt	0tt	NOUN
brj-22315	174	1	ste	ste	NOUN
brj-22315	174	2	x	x	PUNCT
brj-22315	174	3	e	e	NOUN
brj-22315	174	4	x	x	X
brj-22315	174	5	e	e	NOUN
brj-22315	174	6	y=	y=	NUM
brj-22315	175	1	=	=	PUNCT
brj-22315	175	2	=	=	SYM
brj-22315	175	3	(	(	PUNCT
brj-22315	175	4	10	10	NUM
brj-22315	175	5	)	)	PUNCT
brj-22315	175	6	the	the	DET
brj-22315	175	7	loading	loading	NOUN
brj-22315	175	8	matrix	matrix	NOUN
brj-22315	175	9	approximation	approximation	NOUN
brj-22315	175	10	estimation	estimation	NOUN
brj-22315	175	11	estimated	estimate	VERB
brj-22315	175	12	loading	loading	NOUN
brj-22315	175	13	matrix	matrix	NOUN
brj-22315	175	14	:	:	PUNCT
brj-22315	175	15	1	1	NUM
brj-22315	175	16	1=	1=	NUM
brj-22315	175	17	(	(	PUNCT
brj-22315	175	18	)	)	PUNCT
brj-22315	175	19	t	t	NOUN
brj-22315	175	20	t	t	PROPN
brj-22315	175	21	t	t	PROPN
brj-22315	176	1	i	i	PRON
brj-22315	176	2	i	i	PRON
brj-22315	176	3	ij	ij	VERB
brj-22315	176	4	ijf	ijf	X
brj-22315	176	5	w	w	ADP
brj-22315	176	6	x	x	PUNCT
brj-22315	177	1	+	+	CCONJ
brj-22315	177	2	+	+	X
brj-22315	177	3			X
brj-22315	177	4	(	(	PUNCT
brj-22315	177	5	11	11	NUM
brj-22315	177	6	)	)	SYM
brj-22315	177	7	1	1	NUM
brj-22315	177	8	1	1	NUM
brj-22315	177	9	*	*	PUNCT
brj-22315	177	10	=	=	SYM
brj-22315	177	11	(	(	PUNCT
brj-22315	177	12	)	)	PUNCT
brj-22315	177	13	t	t	NOUN
brj-22315	177	14	t	t	PROPN
brj-22315	177	15	t	t	PROPN
brj-22315	178	1	i	i	PRON
brj-22315	179	1	i	i	PRON
brj-22315	179	2	ij	ij	VERB
brj-22315	179	3	ijg	ijg	NOUN
brj-22315	179	4	w	w	NOUN
brj-22315	179	5	y	y	NOUN
brj-22315	180	1	+	+	CCONJ
brj-22315	180	2	+	+	X
brj-22315	180	3			X
brj-22315	180	4	(	(	PUNCT
brj-22315	180	5	12	12	NUM
brj-22315	180	6	)	)	PUNCT
brj-22315	180	7	minimize	minimize	VERB
brj-22315	180	8	the	the	DET
brj-22315	180	9	variance	variance	NOUN
brj-22315	180	10	of	of	ADP
brj-22315	180	11	i	i	PROPN
brj-22315	180	12	and	and	CCONJ
brj-22315	180	13	i	i	NOUN
brj-22315	180	14	,	,	PUNCT
brj-22315	180	15	let	let	VERB
brj-22315	180	16	:	:	PUNCT
brj-22315	180	17	(	(	PUNCT
brj-22315	180	18	)	)	PUNCT
brj-22315	180	19	=	=	SYM
brj-22315	180	20	(	(	PUNCT
brj-22315	180	21	)	)	PUNCT
brj-22315	180	22	1i	1i	NOUN
brj-22315	180	23	ivar	ivar	VERB
brj-22315	180	24	var	var	ADP
brj-22315	180	25			NUM
brj-22315	180	26	=	=	PUNCT
brj-22315	180	27	the	the	DET
brj-22315	180	28	relationship	relationship	NOUN
brj-22315	180	29	matrix	matrix	NOUN
brj-22315	180	30	approximation	approximation	NOUN
brj-22315	180	31	estimation	estimation	NOUN
brj-22315	180	32	approximate	approximate	ADJ
brj-22315	180	33	estimation	estimation	NOUN
brj-22315	180	34	of	of	ADP
brj-22315	180	35	relationship	relationship	NOUN
brj-22315	180	36	matrix	matrix	NOUN
brj-22315	180	37	(	(	PUNCT
brj-22315	180	38	)	)	PUNCT
brj-22315	180	39	1	1	NUM
brj-22315	180	40	*	*	SYM
brj-22315	180	41	1	1	NUM
brj-22315	180	42	1	1	NUM
brj-22315	180	43	1	1	NUM
brj-22315	180	44	1	1	NUM
brj-22315	180	45	1	1	NUM
brj-22315	180	46	t	t	NOUN
brj-22315	180	47	t	t	NOUN
brj-22315	180	48	t	t	PROPN
brj-22315	180	49	t	t	PROPN
brj-22315	180	50	t	t	PROPN
brj-22315	180	51	t	t	PROPN
brj-22315	181	1	i	i	PRON
brj-22315	181	2	i	i	PRON
brj-22315	181	3	ia	ia	VERB
brj-22315	181	4	a	a	DET
brj-22315	181	5	ia	ia	X
brj-22315	181	6	af	af	NOUN
brj-22315	181	7			X
brj-22315	181	8			VERB
brj-22315	181	9			X
brj-22315	181	10	+	+	NOUN
brj-22315	181	11	+	+	X
brj-22315	182	1	+	+	PUNCT
brj-22315	182	2	+	+	PUNCT
brj-22315	182	3	+	+	PUNCT
brj-22315	182	4	+	+	ADJ
brj-22315	182	5	=	=	ADJ
brj-22315	182	6	+	+	ADJ
brj-22315	182	7			X
brj-22315	182	8	(	(	PUNCT
brj-22315	182	9	13	13	NUM
brj-22315	182	10	)	)	PUNCT
brj-22315	182	11	(	(	PUNCT
brj-22315	182	12	)	)	PUNCT
brj-22315	182	13	1	1	NUM
brj-22315	182	14	*	*	SYM
brj-22315	182	15	1	1	NUM
brj-22315	182	16	*	*	SYM
brj-22315	182	17	1	1	NUM
brj-22315	182	18	1	1	NUM
brj-22315	182	19	*	*	SYM
brj-22315	182	20	1	1	NUM
brj-22315	182	21	1	1	NUM
brj-22315	182	22	t	t	NOUN
brj-22315	182	23	t	t	NOUN
brj-22315	182	24	t	t	PROPN
brj-22315	182	25	t	t	PROPN
brj-22315	182	26	t	t	PROPN
brj-22315	182	27	t	t	PROPN
brj-22315	183	1	i	i	PRON
brj-22315	183	2	i	i	PRON
brj-22315	183	3	ia	ia	VERB
brj-22315	183	4	a	a	DET
brj-22315	183	5	ia	ia	PROPN
brj-22315	183	6	ag	ag	X
brj-22315	183	7			PROPN
brj-22315	183	8			VERB
brj-22315	183	9			X
brj-22315	183	10	+	+	NOUN
brj-22315	183	11	+	+	X
brj-22315	184	1	+	+	PUNCT
brj-22315	184	2	+	+	PUNCT
brj-22315	184	3	+	+	PUNCT
brj-22315	184	4	+	+	ADJ
brj-22315	184	5	=	=	ADJ
brj-22315	184	6	+	+	ADJ
brj-22315	184	7			X
brj-22315	184	8	(	(	PUNCT
brj-22315	184	9	14	14	NUM
brj-22315	184	10	)	)	PUNCT
brj-22315	184	11	1	1	NUM
brj-22315	184	12	t	t	NOUN
brj-22315	184	13	ia	ia	NOUN
brj-22315	184	14	+	+	CCONJ
brj-22315	184	15	,	,	PUNCT
brj-22315	184	16	1	1	NUM
brj-22315	184	17	t	t	NOUN
brj-22315	184	18	ia	ia	NOUN
brj-22315	184	19	+	+	CCONJ
brj-22315	184	20	,	,	PUNCT
brj-22315	184	21	*	*	PROPN
brj-22315	184	22	1	1	NUM
brj-22315	184	23	t	t	NOUN
brj-22315	184	24	ia	ia	NOUN
brj-22315	184	25	+	+	CCONJ
brj-22315	184	26	and	and	CCONJ
brj-22315	184	27	*	*	PUNCT
brj-22315	184	28	1	1	NUM
brj-22315	184	29	t	t	NOUN
brj-22315	184	30	ia	ia	NOUN
brj-22315	184	31	+	+	CCONJ
brj-22315	184	32	is	be	AUX
brj-22315	184	33	factor	factor	NOUN
brj-22315	184	34	relationship	relationship	NOUN
brj-22315	184	35	matrix	matrix	NOUN
brj-22315	184	36	：	：	PUNCT
brj-22315	184	37	minimize	minimize	VERB
brj-22315	184	38	the	the	DET
brj-22315	184	39	variance	variance	NOUN
brj-22315	184	40	of	of	ADP
brj-22315	184	41	i	i	PROPN
brj-22315	184	42	and	and	CCONJ
brj-22315	184	43	i	i	NOUN
brj-22315	184	44	,	,	PUNCT
brj-22315	184	45	let	let	VERB
brj-22315	184	46	:	:	PUNCT
brj-22315	184	47	(	(	PUNCT
brj-22315	184	48	)	)	PUNCT
brj-22315	184	49	=	=	SYM
brj-22315	184	50	(	(	PUNCT
brj-22315	184	51	)	)	PUNCT
brj-22315	184	52	1i	1i	NOUN
brj-22315	184	53	ivar	ivar	VERB
brj-22315	184	54	var	var	ADP
brj-22315	184	55			NUM
brj-22315	184	56	=	=	SYM
brj-22315	184	57	weight	weight	NOUN
brj-22315	184	58	estimation	estimation	NOUN
brj-22315	184	59	iterative	iterative	NOUN
brj-22315	184	60	results	result	NOUN
brj-22315	184	61	of	of	ADP
brj-22315	184	62	load	load	NOUN
brj-22315	184	63	matrix	matrix	NOUN
brj-22315	184	64	and	and	CCONJ
brj-22315	184	65	score	score	NOUN
brj-22315	184	66	matrix	matrix	NOUN
brj-22315	184	67	for	for	ADP
brj-22315	184	68	pls	pls	NOUN
brj-22315	184	69	-	-	PUNCT
brj-22315	184	70	sem	sem	NOUN
brj-22315	184	71	*	*	NOUN
brj-22315	184	72	1	1	NUM
brj-22315	184	73	1	1	NUM
brj-22315	184	74	1	1	NUM
brj-22315	184	75	,	,	PUNCT
brj-22315	184	76	t	t	PROPN
brj-22315	184	77	t	t	PROPN
brj-22315	184	78	t	t	X
brj-22315	185	1	ij	ij	INTJ
brj-22315	185	2	ij	ij	INTJ
brj-22315	186	1	i	i	INTJ
brj-22315	186	2	y	y	PROPN
brj-22315	186	3	ijy	ijy	VERB
brj-22315	186	4	w	w	ADP
brj-22315	186	5			PUNCT
brj-22315	186	6	+	+	VERB
brj-22315	186	7	+	+	PROPN
brj-22315	187	1	+	+	ADJ
brj-22315	187	2	=	=	X
brj-22315	187	3	+	+	NUM
brj-22315	187	4	(	(	PUNCT
brj-22315	187	5	15	15	NUM
brj-22315	187	6	)	)	PUNCT
brj-22315	187	7	(	(	PUNCT
brj-22315	187	8	)	)	PUNCT
brj-22315	187	9	(	(	PUNCT
brj-22315	187	10	)	)	PUNCT
brj-22315	187	11	11	11	NUM
brj-22315	187	12	121	121	NUM
brj-22315	187	13	1	1	NUM
brj-22315	187	14	1	1	NUM
brj-22315	187	15	1	1	NUM
brj-22315	187	16	1	1	NUM
brj-22315	187	17	1	1	NUM
brj-22315	187	18	1	1	NUM
brj-22315	187	19	1	1	NUM
brj-22315	187	20	1	1	NUM
brj-22315	187	21	1	1	NUM
brj-22315	187	22	,	,	PUNCT
brj-22315	187	23	1	1	NUM
brj-22315	187	24	11	11	NUM
brj-22315	187	25	12	12	NUM
brj-22315	187	26	1	1	NUM
brj-22315	187	27	,	,	PUNCT
brj-22315	187	28	1	1	NUM
brj-22315	187	29	1	1	NUM
brj-22315	187	30	,	,	PUNCT
brj-22315	187	31	,	,	PUNCT
brj-22315	187	32	t	t	PROPN
brj-22315	187	33	t	t	PROPN
brj-22315	187	34	t	t	PROPN
brj-22315	187	35	t	t	PROPN
brj-22315	187	36	t	t	PROPN
brj-22315	187	37	t	t	PROPN
brj-22315	187	38	t	t	PROPN
brj-22315	187	39	j	j	PROPN
brj-22315	187	40	j	j	PROPN
brj-22315	187	41	n	n	CCONJ
brj-22315	187	42	n	n	NOUN
brj-22315	187	43	x	x	NOUN
brj-22315	187	44	x	x	X
brj-22315	187	45	w	w	NOUN
brj-22315	187	46	x	x	X
brj-22315	187	47	w	w	PROPN
brj-22315	187	48	w	w	PROPN
brj-22315	187	49	w	w	NOUN
brj-22315	187	50	x	x	PRON
brj-22315	187	51			NOUN
brj-22315	187	52			NOUN
brj-22315	187	53			NUM
brj-22315	187	54	+	+	NOUN
brj-22315	187	55	+	+	X
brj-22315	188	1	+	+	PUNCT
brj-22315	189	1	+	+	PUNCT
brj-22315	189	2	+	+	PUNCT
brj-22315	189	3	+	+	CCONJ
brj-22315	189	4	+	+	NUM
brj-22315	189	5			NOUN
brj-22315	189	6			PROPN
brj-22315	189	7			PROPN
brj-22315	189	8			PROPN
brj-22315	189	9			PROPN
brj-22315	189	10	=	=	PROPN
brj-22315	189	11	+	+	CCONJ
brj-22315	190	1	=	=	SYM
brj-22315	191	1	+	+	CCONJ
brj-22315	191	2			PROPN
brj-22315	192	1			PROPN
brj-22315	192	2			PROPN
brj-22315	192	3			PROPN
brj-22315	193	1			PROPN
brj-22315	193	2			NOUN
brj-22315	193	3			X
brj-22315	193	4	(	(	PUNCT
brj-22315	193	5	16	16	NUM
brj-22315	193	6	)	)	PUNCT
brj-22315	193	7	the	the	DET
brj-22315	193	8	augmented	augment	VERB
brj-22315	193	9	matrix	matrix	NOUN
brj-22315	193	10	between	between	ADP
brj-22315	193	11	primary	primary	ADJ
brj-22315	193	12	and	and	CCONJ
brj-22315	193	13	secondary	secondary	ADJ
brj-22315	193	14	is	be	AUX
brj-22315	193	15	combx	combx	NOUN
brj-22315	193	16	,	,	PUNCT
brj-22315	193	17	the	the	DET
brj-22315	193	18	above	above	ADJ
brj-22315	193	19	formula	formula	NOUN
brj-22315	193	20	is	be	AUX
brj-22315	193	21	transformed	transform	VERB
brj-22315	193	22	into	into	ADP
brj-22315	193	23	:	:	PUNCT
brj-22315	193	24	(	(	PUNCT
brj-22315	193	25	)	)	PUNCT
brj-22315	193	26	(	(	PUNCT
brj-22315	193	27	)	)	SYM
brj-22315	193	28	2	2	NUM
brj-22315	193	29	1	1	NUM
brj-22315	193	30	11	11	NUM
brj-22315	193	31	1	1	NUM
brj-22315	193	32	,	,	PUNCT
brj-22315	193	33	11	11	NUM
brj-22315	193	34	+1	+1	NOUN
brj-22315	193	35	1	1	NUM
brj-22315	193	36	1	1	NUM
brj-22315	193	37	11	11	NUM
brj-22315	193	38	12	12	NUM
brj-22315	193	39	1	1	NUM
brj-22315	193	40	1	1	NUM
brj-22315	193	41	1=	1=	NUM
brj-22315	193	42	,	,	PUNCT
brj-22315	193	43	,	,	PUNCT
brj-22315	193	44	t	t	PROPN
brj-22315	193	45	n	n	ADP
brj-22315	193	46	t	t	X
brj-22315	193	47	tt	tt	PROPN
brj-22315	193	48	t	t	PROPN
brj-22315	193	49	comb	comb	NOUN
brj-22315	193	50	n	n	NOUN
brj-22315	193	51	x	x	NOUN
brj-22315	193	52	x	x	PUNCT
brj-22315	193	53	x	x	PUNCT
brj-22315	193	54	w	w	PROPN
brj-22315	193	55	w	w	PROPN
brj-22315	193	56	w	w	PROPN
brj-22315	193	57	x	x	X
brj-22315	193	58			NOUN
brj-22315	193	59	+	+	NOUN
brj-22315	193	60	+	+	PROPN
brj-22315	194	1	+	+	PROPN
brj-22315	194	2	+	+	ADJ
brj-22315	194	3	+	+	NUM
brj-22315	194	4			NOUN
brj-22315	194	5			PROPN
brj-22315	194	6			PROPN
brj-22315	194	7			PROPN
brj-22315	195	1			PROPN
brj-22315	195	2	=	=	PROPN
brj-22315	195	3	−	−	PROPN
brj-22315	196	1			PROPN
brj-22315	196	2			PROPN
brj-22315	197	1			PROPN
brj-22315	197	2			PROPN
brj-22315	198	1			PROPN
brj-22315	198	2			NOUN
brj-22315	198	3	(	(	PUNCT
brj-22315	198	4	17	17	NUM
brj-22315	198	5	)	)	PUNCT
brj-22315	198	6	the	the	DET
brj-22315	198	7	loading	loading	NOUN
brj-22315	198	8	matrices	matrix	NOUN
brj-22315	198	9	pt	pt	NOUN
brj-22315	198	10	and	and	CCONJ
brj-22315	198	11	ps	ps	PROPN
brj-22315	198	12	are	be	AUX
brj-22315	198	13	expressed	express	VERB
brj-22315	198	14	as	as	ADP
brj-22315	198	15	:	:	PUNCT
brj-22315	198	16	(	(	PUNCT
brj-22315	198	17	)	)	PUNCT
brj-22315	198	18	(	(	PUNCT
brj-22315	198	19	)	)	PUNCT
brj-22315	199	1	+	+	CCONJ
brj-22315	199	2	1	1	NUM
brj-22315	199	3	1	1	NUM
brj-22315	199	4	1	1	NUM
brj-22315	199	5	11	11	NUM
brj-22315	199	6	12	12	NUM
brj-22315	199	7	1	1	NUM
brj-22315	199	8	,	,	PUNCT
brj-22315	199	9	,	,	PUNCT
brj-22315	199	10	,	,	PUNCT
brj-22315	199	11	t	t	PROPN
brj-22315	199	12	t	t	PROPN
brj-22315	199	13	t	t	PROPN
brj-22315	199	14	s	s	PROPN
brj-22315	199	15	ntp	ntp	PROPN
brj-22315	199	16	p	p	PROPN
brj-22315	199	17	w	w	PROPN
brj-22315	199	18	w	w	PROPN
brj-22315	199	19	w+	w+	NOUN
brj-22315	199	20	+	+	X
brj-22315	199	21	+	+	SYM
brj-22315	199	22	=	=	SYM
brj-22315	199	23	(	(	PUNCT
brj-22315	199	24	18	18	NUM
brj-22315	199	25	)	)	PUNCT
brj-22315	199	26	the	the	DET
brj-22315	199	27	score	score	NOUN
brj-22315	199	28	matrix	matrix	NOUN
brj-22315	199	29	ttt	ttt	NOUN
brj-22315	199	30	of	of	ADP
brj-22315	199	31	the	the	DET
brj-22315	199	32	host	host	NOUN
brj-22315	199	33	spectrum	spectrum	NOUN
brj-22315	199	34	and	and	CCONJ
brj-22315	199	35	the	the	DET
brj-22315	199	36	score	score	NOUN
brj-22315	199	37	matrix	matrix	NOUN
brj-22315	199	38	tst	tst	NOUN
brj-22315	199	39	of	of	ADP
brj-22315	199	40	the	the	DET
brj-22315	199	41	secondary	secondary	ADJ
brj-22315	199	42	spectrum	spectrum	NOUN
brj-22315	199	43	are	be	AUX
brj-22315	199	44	expressed	express	VERB
brj-22315	199	45	as	as	ADP
brj-22315	199	46	:	:	PUNCT
brj-22315	199	47	(	(	PUNCT
brj-22315	199	48	)	)	PUNCT
brj-22315	199	49	(	(	PUNCT
brj-22315	199	50	)	)	PUNCT
brj-22315	199	51	1	1	NUM
brj-22315	199	52	,	,	PUNCT
brj-22315	199	53	1=	1=	NUM
brj-22315	199	54	,	,	PUNCT
brj-22315	199	55	=	=	SYM
brj-22315	199	56	t	t	PROPN
brj-22315	199	57	comb	comb	NOUN
brj-22315	199	58	tt	tt	PROPN
brj-22315	199	59	stt	stt	PROPN
brj-22315	199	60	t	t	PROPN
brj-22315	199	61	t	t	PROPN
brj-22315	199	62			NOUN
brj-22315	199	63	−	−	X
brj-22315	199	64	(	(	PUNCT
brj-22315	199	65	19	19	NUM
brj-22315	199	66	)	)	PUNCT
brj-22315	199	67	step	step	NOUN
brj-22315	199	68	3	3	NUM
brj-22315	199	69	:	:	PUNCT
brj-22315	199	70	calculate	calculate	VERB
brj-22315	199	71	the	the	DET
brj-22315	199	72	conversion	conversion	NOUN
brj-22315	199	73	matrix	matrix	NOUN
brj-22315	199	74	t	t	NOUN
brj-22315	199	75	between	between	ADP
brj-22315	199	76	stt	stt	PROPN
brj-22315	199	77	and	and	CCONJ
brj-22315	199	78	ttt	ttt	PROPN
brj-22315	199	79	and	and	CCONJ
brj-22315	199	80	transfer	transfer	VERB
brj-22315	199	81	the	the	DET
brj-22315	199	82	peer	peer	NOUN
brj-22315	199	83	-	-	PUNCT
brj-22315	199	84	reviewed	review	VERB
brj-22315	199	85	article	article	NOUN
brj-22315	199	86	bioresources.com	bioresources.com	X
brj-22315	199	87	jiang	jiang	PROPN
brj-22315	199	88	et	et	PROPN
brj-22315	199	89	al	al	PROPN
brj-22315	199	90	.	.	PROPN
brj-22315	200	1	(	(	PUNCT
brj-22315	200	2	2023	2023	NUM
brj-22315	200	3	)	)	PUNCT
brj-22315	200	4	.	.	PUNCT
brj-22315	201	1	“	"	PUNCT
brj-22315	201	2	non	non	ADJ
brj-22315	201	3	-	-	ADJ
brj-22315	201	4	destructive	destructive	ADJ
brj-22315	201	5	wood	wood	NOUN
brj-22315	201	6	testing	testing	NOUN
brj-22315	201	7	,	,	PUNCT
brj-22315	201	8	”	"	PUNCT
brj-22315	201	9	bioresources	bioresource	NOUN
brj-22315	201	10	18(2	18(2	NUM
brj-22315	201	11	)	)	PUNCT
brj-22315	201	12	,	,	PUNCT
brj-22315	201	13	3620	3620	NUM
brj-22315	201	14	-	-	SYM
brj-22315	201	15	3641	3641	NUM
brj-22315	201	16	.	.	PUNCT
brj-22315	201	17	3629	3629	NUM
brj-22315	201	18	spectral	spectral	ADJ
brj-22315	201	19	matrix	matrix	NOUN
brj-22315	201	20	xsp	xsp	NOUN
brj-22315	201	21	from	from	ADP
brj-22315	201	22	the	the	DET
brj-22315	201	23	machine	machine	NOUN
brj-22315	201	24	to	to	ADP
brj-22315	201	25	xtnew	xtnew	PROPN
brj-22315	201	26	.	.	PUNCT
brj-22315	202	1	the	the	DET
brj-22315	202	2	formula	formula	NOUN
brj-22315	202	3	is	be	AUX
brj-22315	202	4	as	as	SCONJ
brj-22315	202	5	follows	follow	VERB
brj-22315	202	6	:	:	PUNCT
brj-22315	202	7	1	1	NUM
brj-22315	202	8	t	t	NOUN
brj-22315	202	9	sf	sf	NOUN
brj-22315	202	10	p	p	PROPN
brj-22315	202	11	p+=	p+=	PROPN
brj-22315	202	12			PROPN
brj-22315	202	13	(	(	PUNCT
brj-22315	202	14	20	20	NUM
brj-22315	202	15	)	)	SYM
brj-22315	202	16	2	2	NUM
brj-22315	202	17	st	st	NOUN
brj-22315	202	18	tf	tf	NOUN
brj-22315	202	19	x	x	PROPN
brj-22315	202	20	p+=	p+=	PROPN
brj-22315	202	21			PROPN
brj-22315	202	22	(	(	PUNCT
brj-22315	203	1	21	21	NUM
brj-22315	203	2	)	)	SYM
brj-22315	203	3	2	2	NUM
brj-22315	203	4	1	1	NUM
brj-22315	203	5	stf	stf	NOUN
brj-22315	203	6	f	f	PROPN
brj-22315	203	7	f	f	PROPN
brj-22315	203	8	t=	t=	PROPN
brj-22315	203	9			PROPN
brj-22315	203	10			PROPN
brj-22315	203	11	(	(	PUNCT
brj-22315	203	12	22	22	NUM
brj-22315	203	13	)	)	PUNCT
brj-22315	203	14	here	here	ADV
brj-22315	203	15	,	,	PUNCT
brj-22315	203	16	superscript	superscript	PROPN
brj-22315	203	17	“	"	PUNCT
brj-22315	203	18	+	+	PROPN
brj-22315	203	19	”	"	PUNCT
brj-22315	203	20	represents	represent	VERB
brj-22315	203	21	the	the	DET
brj-22315	203	22	pseudo	pseudo	NOUN
brj-22315	203	23	-	-	NOUN
brj-22315	203	24	inverse	inverse	NOUN
brj-22315	203	25	,	,	PUNCT
brj-22315	203	26	and	and	CCONJ
brj-22315	203	27	both	both	DET
brj-22315	203	28	f1	f1	NOUN
brj-22315	203	29	and	and	CCONJ
brj-22315	203	30	f2	f2	PROPN
brj-22315	203	31	are	be	AUX
brj-22315	203	32	interim	interim	ADJ
brj-22315	203	33	matrices	matrix	NOUN
brj-22315	203	34	for	for	ADP
brj-22315	203	35	calculating	calculate	VERB
brj-22315	203	36	f.	f.	PROPN
brj-22315	203	37	next	next	PROPN
brj-22315	203	38	,	,	PUNCT
brj-22315	203	39	the	the	DET
brj-22315	203	40	xtnew	xtnew	NOUN
brj-22315	203	41	corrected	correct	VERB
brj-22315	203	42	from	from	ADP
brj-22315	203	43	xsp	xsp	NOUN
brj-22315	203	44	can	can	AUX
brj-22315	203	45	be	be	AUX
brj-22315	203	46	obtained	obtain	VERB
brj-22315	203	47	by	by	ADP
brj-22315	203	48	right	right	ADJ
brj-22315	203	49	multiplying	multiply	VERB
brj-22315	203	50	f.	f.	PROPN
brj-22315	203	51	tnew	tnew	VERB
brj-22315	203	52	spx	spx	PROPN
brj-22315	203	53	f	f	PROPN
brj-22315	203	54	x=	x=	PROPN
brj-22315	203	55			PROPN
brj-22315	203	56	(	(	PUNCT
brj-22315	203	57	23	23	NUM
brj-22315	203	58	)	)	PUNCT
brj-22315	203	59	finally	finally	ADV
brj-22315	203	60	,	,	PUNCT
brj-22315	203	61	substituting	substitute	VERB
brj-22315	203	62	xtnew	xtnew	NOUN
brj-22315	203	63	into	into	ADP
brj-22315	203	64	the	the	DET
brj-22315	203	65	calibration	calibration	NOUN
brj-22315	203	66	model	model	NOUN
brj-22315	203	67	can	can	AUX
brj-22315	203	68	yield	yield	VERB
brj-22315	203	69	the	the	DET
brj-22315	203	70	predicted	predict	VERB
brj-22315	203	71	values	value	NOUN
brj-22315	203	72	directly	directly	ADV
brj-22315	203	73	.	.	PUNCT
brj-22315	204	1	in	in	ADP
brj-22315	204	2	summary	summary	NOUN
brj-22315	204	3	,	,	PUNCT
brj-22315	204	4	the	the	DET
brj-22315	204	5	algorithm	algorithm	NOUN
brj-22315	204	6	block	block	NOUN
brj-22315	204	7	diagram	diagram	NOUN
brj-22315	204	8	of	of	ADP
brj-22315	204	9	efea	efea	PROPN
brj-22315	204	10	-	-	PUNCT
brj-22315	204	11	fa	fa	PROPN
brj-22315	204	12	is	be	AUX
brj-22315	204	13	shown	show	VERB
brj-22315	204	14	in	in	ADP
brj-22315	204	15	fig	fig	NOUN
brj-22315	204	16	.	.	PUNCT
brj-22315	205	1	5	5	NUM
brj-22315	205	2	:	:	PUNCT
brj-22315	205	3	fig	fig	NOUN
brj-22315	205	4	.	.	PUNCT
brj-22315	206	1	5	5	X
brj-22315	206	2	.	.	X
brj-22315	206	3	efea	efea	PROPN
brj-22315	206	4	-	-	PUNCT
brj-22315	206	5	fa	fa	NOUN
brj-22315	206	6	algorithm	algorithm	NOUN
brj-22315	206	7	calibration	calibration	NOUN
brj-22315	206	8	transfer	transfer	NOUN
brj-22315	206	9	based	base	VERB
brj-22315	206	10	on	on	ADP
brj-22315	206	11	sst	sst	PROPN
brj-22315	206	12	assume	assume	VERB
brj-22315	206	13	the	the	DET
brj-22315	206	14	rows	row	NOUN
brj-22315	206	15	of	of	ADP
brj-22315	206	16	the	the	DET
brj-22315	206	17	spectral	spectral	ADJ
brj-22315	206	18	matrices	matrix	NOUN
brj-22315	206	19	xtt	xtt	PROPN
brj-22315	206	20	and	and	CCONJ
brj-22315	206	21	xst	xst	PROPN
brj-22315	206	22	are	be	AUX
brj-22315	206	23	the	the	DET
brj-22315	206	24	corresponding	corresponding	ADJ
brj-22315	206	25	spectra	spectra	NOUN
brj-22315	206	26	of	of	ADP
brj-22315	206	27	the	the	DET
brj-22315	206	28	same	same	ADJ
brj-22315	206	29	subset	subset	NOUN
brj-22315	206	30	of	of	ADP
brj-22315	206	31	standardization	standardization	NOUN
brj-22315	206	32	samples	sample	NOUN
brj-22315	206	33	measured	measure	VERB
brj-22315	206	34	on	on	ADP
brj-22315	206	35	the	the	DET
brj-22315	206	36	primary	primary	ADJ
brj-22315	206	37	and	and	CCONJ
brj-22315	206	38	secondary	secondary	ADJ
brj-22315	206	39	instruments	instrument	NOUN
brj-22315	206	40	(	(	PUNCT
brj-22315	206	41	or	or	CCONJ
brj-22315	206	42	under	under	ADP
brj-22315	206	43	the	the	DET
brj-22315	206	44	initial	initial	ADJ
brj-22315	206	45	calibration	calibration	NOUN
brj-22315	206	46	and	and	CCONJ
brj-22315	206	47	the	the	DET
brj-22315	206	48	modified	modified	ADJ
brj-22315	206	49	test	test	NOUN
brj-22315	206	50	conditions	condition	NOUN
brj-22315	206	51	)	)	PUNCT
brj-22315	206	52	,	,	PUNCT
brj-22315	206	53	respectively	respectively	ADV
brj-22315	206	54	.	.	PUNCT
brj-22315	207	1	let	let	VERB
brj-22315	207	2	the	the	DET
brj-22315	207	3	singular	singular	ADJ
brj-22315	207	4	value	value	NOUN
brj-22315	207	5	decomposition	decomposition	NOUN
brj-22315	207	6	of	of	ADP
brj-22315	207	7	xcomb	xcomb	NOUN
brj-22315	207	8	as	as	SCONJ
brj-22315	207	9	follows	follow	VERB
brj-22315	207	10	:	:	PUNCT
brj-22315	207	11			ADJ
brj-22315	207	12			PROPN
brj-22315	207	13	,	,	PUNCT
brj-22315	207	14	[	[	PUNCT
brj-22315	207	15	,	,	PUNCT
brj-22315	207	16	]	]	X
brj-22315	207	17	t	t	NOUN
brj-22315	207	18	t	t	NOUN
brj-22315	207	19	comb	comb	NOUN
brj-22315	207	20	tt	tt	PROPN
brj-22315	207	21	st	st	PROPN
brj-22315	207	22	t	t	PROPN
brj-22315	207	23	sx	sx	PROPN
brj-22315	207	24	x	x	PUNCT
brj-22315	208	1	x	x	PROPN
brj-22315	208	2	tp	tp	ADP
brj-22315	208	3	t	t	PROPN
brj-22315	208	4	p	p	NOUN
brj-22315	208	5	p=	p=	PROPN
brj-22315	208	6	=	=	PUNCT
brj-22315	208	7	=	=	SYM
brj-22315	208	8	(	(	PUNCT
brj-22315	208	9	24	24	NUM
brj-22315	208	10	)	)	PUNCT
brj-22315	208	11	here	here	ADV
brj-22315	208	12	,	,	PUNCT
brj-22315	208	13	the	the	DET
brj-22315	208	14	scoring	scoring	NOUN
brj-22315	208	15	matrix	matrix	NOUN
brj-22315	208	16	is	be	AUX
brj-22315	208	17	t	t	NOUN
brj-22315	208	18	,	,	PUNCT
brj-22315	208	19	the	the	DET
brj-22315	208	20	primary	primary	ADJ
brj-22315	208	21	load	load	NOUN
brj-22315	208	22	matrix	matrix	NOUN
brj-22315	208	23	is	be	AUX
brj-22315	208	24	tp	tp	NOUN
brj-22315	208	25	,	,	PUNCT
brj-22315	208	26	the	the	DET
brj-22315	208	27	secondary	secondary	ADJ
brj-22315	208	28	load	load	NOUN
brj-22315	208	29	matrix	matrix	NOUN
brj-22315	208	30	is	be	AUX
brj-22315	208	31	sp	sp	ADP
brj-22315	208	32	.	.	PUNCT
brj-22315	209	1	the	the	DET
brj-22315	209	2	relationship	relationship	NOUN
brj-22315	209	3	between	between	ADP
brj-22315	209	4	the	the	DET
brj-22315	209	5	primary	primary	ADJ
brj-22315	209	6	matrix	matrix	NOUN
brj-22315	209	7	and	and	CCONJ
brj-22315	209	8	the	the	DET
brj-22315	209	9	secondary	secondary	ADJ
brj-22315	209	10	matrix	matrix	NOUN
brj-22315	209	11	is	be	AUX
brj-22315	209	12	:	:	PUNCT
brj-22315	209	13	=	=	SYM
brj-22315	210	1	+	+	CCONJ
brj-22315	210	2	(	(	PUNCT
brj-22315	210	3	)	)	PUNCT
brj-22315	210	4	(	(	PUNCT
brj-22315	210	5	)	)	PUNCT
brj-22315	210	6	t	t	NOUN
brj-22315	210	7	t	t	PROPN
brj-22315	210	8	t	t	PROPN
brj-22315	211	1	tt	tt	PROPN
brj-22315	211	2	st	st	PROPN
brj-22315	211	3	st	st	PROPN
brj-22315	211	4	s	s	PROPN
brj-22315	211	5	t	t	PROPN
brj-22315	211	6	sx	sx	NOUN
brj-22315	211	7	x	x	PUNCT
brj-22315	212	1	x	x	X
brj-22315	212	2	p	p	X
brj-22315	212	3	p	p	PROPN
brj-22315	212	4	p+	p+	NOUN
brj-22315	212	5	−	−	PROPN
brj-22315	212	6	(	(	PUNCT
brj-22315	212	7	25	25	NUM
brj-22315	212	8	)	)	PUNCT
brj-22315	212	9	peer	peer	NOUN
brj-22315	212	10	-	-	PUNCT
brj-22315	212	11	reviewed	review	VERB
brj-22315	212	12	article	article	NOUN
brj-22315	212	13	bioresources.com	bioresources.com	X
brj-22315	212	14	jiang	jiang	PROPN
brj-22315	212	15	et	et	PROPN
brj-22315	212	16	al	al	PROPN
brj-22315	212	17	.	.	PROPN
brj-22315	212	18	(	(	PUNCT
brj-22315	212	19	2023	2023	NUM
brj-22315	212	20	)	)	PUNCT
brj-22315	212	21	.	.	PUNCT
brj-22315	213	1	“	"	PUNCT
brj-22315	213	2	non	non	ADJ
brj-22315	213	3	-	-	ADJ
brj-22315	213	4	destructive	destructive	ADJ
brj-22315	213	5	wood	wood	NOUN
brj-22315	213	6	testing	testing	NOUN
brj-22315	213	7	,	,	PUNCT
brj-22315	213	8	”	"	PUNCT
brj-22315	213	9	bioresources	bioresource	NOUN
brj-22315	213	10	18(2	18(2	NUM
brj-22315	213	11	)	)	PUNCT
brj-22315	213	12	,	,	PUNCT
brj-22315	213	13	3620	3620	NUM
brj-22315	213	14	-	-	SYM
brj-22315	213	15	3641	3641	NUM
brj-22315	213	16	.	.	PUNCT
brj-22315	214	1	3630	3630	NUM
brj-22315	214	2	arrange	arrange	NOUN
brj-22315	214	3	above	above	ADP
brj-22315	214	4	formula	formula	NOUN
brj-22315	214	5	,	,	PUNCT
brj-22315	214	6	the	the	DET
brj-22315	214	7	tanslation	tanslation	NOUN
brj-22315	214	8	matrix	matrix	NOUN
brj-22315	214	9	f	f	X
brj-22315	214	10	can	can	AUX
brj-22315	214	11	be	be	AUX
brj-22315	214	12	calculated	calculate	VERB
brj-22315	214	13	as	as	SCONJ
brj-22315	214	14	follows	follow	VERB
brj-22315	214	15	:	:	PUNCT
brj-22315	214	16	(	(	PUNCT
brj-22315	214	17	)	)	PUNCT
brj-22315	214	18	(	(	PUNCT
brj-22315	214	19	)	)	PUNCT
brj-22315	214	20	t	t	NOUN
brj-22315	214	21	t	t	PROPN
brj-22315	214	22	t	t	PROPN
brj-22315	214	23	s	s	PROPN
brj-22315	214	24	t	t	NOUN
brj-22315	215	1	sf	sf	INTJ
brj-22315	216	1	i	i	PRON
brj-22315	216	2	p	p	X
brj-22315	216	3	p	p	X
brj-22315	216	4	p+=	p+=	NOUN
brj-22315	216	5	+	+	CCONJ
brj-22315	216	6	−	−	PROPN
brj-22315	216	7	(	(	PUNCT
brj-22315	216	8	26	26	NUM
brj-22315	216	9	)	)	PUNCT
brj-22315	216	10	tanslate	tanslate	VERB
brj-22315	216	11	the	the	DET
brj-22315	216	12	secondary	secondary	ADJ
brj-22315	216	13	spectrum	spectrum	NOUN
brj-22315	216	14	xsp	xsp	NOUN
brj-22315	216	15	to	to	ADP
brj-22315	216	16	the	the	DET
brj-22315	216	17	primary	primary	ADJ
brj-22315	216	18	spectrum	spectrum	NOUN
brj-22315	216	19	xtnew	xtnew	PROPN
brj-22315	216	20	.	.	PUNCT
brj-22315	217	1	the	the	DET
brj-22315	217	2	primary	primary	ADJ
brj-22315	217	3	spectrum	spectrum	NOUN
brj-22315	217	4	xtnew	xtnew	PROPN
brj-22315	217	5	can	can	AUX
brj-22315	217	6	be	be	AUX
brj-22315	217	7	obtained	obtain	VERB
brj-22315	217	8	by	by	ADP
brj-22315	217	9	:	:	PUNCT
brj-22315	217	10	(	(	PUNCT
brj-22315	217	11	27	27	NUM
brj-22315	217	12	)	)	PUNCT
brj-22315	217	13	efea	efea	PROPN
brj-22315	217	14	-	-	PUNCT
brj-22315	217	15	sst	sst	NOUN
brj-22315	217	16	modeling	modeling	NOUN
brj-22315	217	17	the	the	DET
brj-22315	217	18	second	second	ADJ
brj-22315	217	19	model	model	NOUN
brj-22315	217	20	in	in	ADP
brj-22315	217	21	our	our	PRON
brj-22315	217	22	paper	paper	NOUN
brj-22315	217	23	is	be	AUX
brj-22315	217	24	efea	efea	ADJ
brj-22315	217	25	-	-	PUNCT
brj-22315	217	26	sst	sst	NOUN
brj-22315	217	27	used	use	VERB
brj-22315	217	28	for	for	ADP
brj-22315	217	29	source	source	NOUN
brj-22315	217	30	domain	domain	NOUN
brj-22315	217	31	data	datum	NOUN
brj-22315	217	32	and	and	CCONJ
brj-22315	217	33	target	target	NOUN
brj-22315	217	34	domain	domain	NOUN
brj-22315	217	35	data	datum	NOUN
brj-22315	217	36	respectively	respectively	ADV
brj-22315	217	37	.	.	PUNCT
brj-22315	218	1	as	as	ADV
brj-22315	218	2	well	well	ADV
brj-22315	218	3	as	as	ADP
brj-22315	218	4	efea	efea	PROPN
brj-22315	218	5	-	-	SYM
brj-22315	218	6	fa	fa	NOUN
brj-22315	218	7	,	,	PUNCT
brj-22315	218	8	the	the	DET
brj-22315	218	9	efea	efea	PROPN
brj-22315	218	10	-	-	PUNCT
brj-22315	218	11	sst	sst	NOUN
brj-22315	218	12	also	also	ADV
brj-22315	218	13	implement	implement	VERB
brj-22315	218	14	calibration	calibration	NOUN
brj-22315	218	15	transfer	transfer	NOUN
brj-22315	218	16	based	base	VERB
brj-22315	218	17	on	on	ADP
brj-22315	218	18	the	the	DET
brj-22315	218	19	pls	pls	PROPN
brj-22315	218	20	-	-	PUNCT
brj-22315	218	21	sem	sem	NOUN
brj-22315	218	22	framework	framework	NOUN
brj-22315	218	23	.	.	PUNCT
brj-22315	219	1	the	the	DET
brj-22315	219	2	specific	specific	ADJ
brj-22315	219	3	algorithm	algorithm	NOUN
brj-22315	219	4	flow	flow	NOUN
brj-22315	219	5	is	be	AUX
brj-22315	219	6	as	as	SCONJ
brj-22315	219	7	follows	follow	VERB
brj-22315	219	8	:	:	PUNCT
brj-22315	219	9	step	step	NOUN
brj-22315	219	10	1	1	NUM
brj-22315	219	11	:	:	PUNCT
brj-22315	219	12	establishing	establish	VERB
brj-22315	219	13	the	the	DET
brj-22315	219	14	pls	pls	PROPN
brj-22315	219	15	-	-	PUNCT
brj-22315	219	16	sem	sem	NOUN
brj-22315	219	17	path	path	NOUN
brj-22315	219	18	model	model	NOUN
brj-22315	219	19	of	of	ADP
brj-22315	219	20	wood	wood	NOUN
brj-22315	219	21	mechanical	mechanical	ADJ
brj-22315	219	22	properties	property	NOUN
brj-22315	219	23	.	.	PUNCT
brj-22315	220	1	step	step	NOUN
brj-22315	220	2	2	2	NUM
brj-22315	220	3	:	:	PUNCT
brj-22315	220	4	iterating	iterate	VERB
brj-22315	220	5	pls	pls	PROPN
brj-22315	220	6	-	-	PUNCT
brj-22315	220	7	sem	sem	NOUN
brj-22315	220	8	model	model	NOUN
brj-22315	220	9	to	to	PART
brj-22315	220	10	optimize	optimize	VERB
brj-22315	220	11	the	the	DET
brj-22315	220	12	relationship	relationship	NOUN
brj-22315	220	13	matrix	matrix	NOUN
brj-22315	220	14	,	,	PUNCT
brj-22315	220	15	latent	latent	NOUN
brj-22315	220	16	variables	variable	NOUN
brj-22315	220	17	and	and	CCONJ
brj-22315	220	18	parameters	parameter	NOUN
brj-22315	220	19	,	,	PUNCT
brj-22315	220	20	the	the	DET
brj-22315	220	21	algorithm	algorithm	NOUN
brj-22315	220	22	including	include	VERB
brj-22315	220	23	the	the	DET
brj-22315	220	24	apparent	apparent	ADJ
brj-22315	220	25	variables	variable	NOUN
brj-22315	220	26	normalized	normalize	VERB
brj-22315	220	27	,	,	PUNCT
brj-22315	220	28	the	the	DET
brj-22315	220	29	loading	loading	NOUN
brj-22315	220	30	matrix	matrix	NOUN
brj-22315	220	31	approximation	approximation	NOUN
brj-22315	220	32	estimation	estimation	NOUN
brj-22315	220	33	,	,	PUNCT
brj-22315	220	34	the	the	DET
brj-22315	220	35	relationship	relationship	NOUN
brj-22315	220	36	matrix	matrix	NOUN
brj-22315	220	37	approximation	approximation	NOUN
brj-22315	220	38	estimation	estimation	NOUN
brj-22315	220	39	and	and	CCONJ
brj-22315	220	40	weight	weight	NOUN
brj-22315	220	41	estimation	estimation	NOUN
brj-22315	220	42	.	.	PUNCT
brj-22315	221	1	the	the	DET
brj-22315	221	2	apparent	apparent	ADJ
brj-22315	221	3	variables	variable	NOUN
brj-22315	221	4	normalized	normalize	VERB
brj-22315	221	5	the	the	DET
brj-22315	221	6	nir	nir	ADJ
brj-22315	221	7	spectral	spectral	ADJ
brj-22315	221	8	band	band	NOUN
brj-22315	221	9	and	and	CCONJ
brj-22315	221	10	the	the	DET
brj-22315	221	11	mechanical	mechanical	ADJ
brj-22315	221	12	properties	property	NOUN
brj-22315	221	13	of	of	ADP
brj-22315	221	14	solid	solid	ADJ
brj-22315	221	15	wood	wood	NOUN
brj-22315	221	16	panels	panel	NOUN
brj-22315	221	17	are	be	AUX
brj-22315	221	18	normalized	normalize	VERB
brj-22315	221	19	:	:	PUNCT
brj-22315	221	20	(	(	PUNCT
brj-22315	221	21	)	)	PUNCT
brj-22315	221	22	(	(	PUNCT
brj-22315	221	23	)	)	PUNCT
brj-22315	221	24	(	(	PUNCT
brj-22315	221	25	)	)	PUNCT
brj-22315	221	26	0tt	0tt	NOUN
brj-22315	222	1	ste	ste	NOUN
brj-22315	222	2	x	x	PUNCT
brj-22315	222	3	e	e	NOUN
brj-22315	222	4	x	x	X
brj-22315	222	5	e	e	NOUN
brj-22315	222	6	y=	y=	NUM
brj-22315	223	1	=	=	PUNCT
brj-22315	223	2	=	=	SYM
brj-22315	223	3	(	(	PUNCT
brj-22315	223	4	28	28	NUM
brj-22315	223	5	)	)	PUNCT
brj-22315	223	6	the	the	DET
brj-22315	223	7	loading	loading	NOUN
brj-22315	223	8	matrix	matrix	NOUN
brj-22315	223	9	approximation	approximation	NOUN
brj-22315	223	10	estimation	estimation	NOUN
brj-22315	223	11	estimated	estimate	VERB
brj-22315	223	12	loading	loading	NOUN
brj-22315	223	13	matrix	matrix	NOUN
brj-22315	223	14	:	:	PUNCT
brj-22315	223	15	1	1	NUM
brj-22315	223	16	1=	1=	NUM
brj-22315	223	17	(	(	PUNCT
brj-22315	223	18	)	)	PUNCT
brj-22315	223	19	t	t	NOUN
brj-22315	223	20	t	t	PROPN
brj-22315	223	21	t	t	PROPN
brj-22315	224	1	i	i	PRON
brj-22315	224	2	i	i	PRON
brj-22315	224	3	ij	ij	VERB
brj-22315	224	4	ijf	ijf	X
brj-22315	224	5	w	w	ADP
brj-22315	224	6	x	x	PUNCT
brj-22315	225	1	+	+	CCONJ
brj-22315	225	2	+	+	X
brj-22315	225	3			X
brj-22315	225	4	(	(	PUNCT
brj-22315	225	5	29	29	NUM
brj-22315	225	6	)	)	SYM
brj-22315	225	7	1	1	NUM
brj-22315	225	8	1	1	NUM
brj-22315	225	9	*	*	PUNCT
brj-22315	225	10	=	=	SYM
brj-22315	225	11	(	(	PUNCT
brj-22315	225	12	)	)	PUNCT
brj-22315	225	13	t	t	NOUN
brj-22315	225	14	t	t	PROPN
brj-22315	225	15	t	t	PROPN
brj-22315	226	1	i	i	PRON
brj-22315	227	1	i	i	PRON
brj-22315	227	2	ij	ij	VERB
brj-22315	227	3	ijg	ijg	NOUN
brj-22315	227	4	w	w	NOUN
brj-22315	227	5	y	y	NOUN
brj-22315	228	1	+	+	CCONJ
brj-22315	228	2	+	+	X
brj-22315	228	3			X
brj-22315	228	4	(	(	PUNCT
brj-22315	228	5	30	30	NUM
brj-22315	228	6	)	)	PUNCT
brj-22315	228	7	minimize	minimize	VERB
brj-22315	228	8	the	the	DET
brj-22315	228	9	variance	variance	NOUN
brj-22315	228	10	of	of	ADP
brj-22315	228	11	i	i	PROPN
brj-22315	228	12	and	and	CCONJ
brj-22315	228	13	i	i	NOUN
brj-22315	228	14	,	,	PUNCT
brj-22315	228	15	let	let	VERB
brj-22315	228	16	:	:	PUNCT
brj-22315	228	17	(	(	PUNCT
brj-22315	228	18	)	)	PUNCT
brj-22315	228	19	=	=	SYM
brj-22315	228	20	(	(	PUNCT
brj-22315	228	21	)	)	PUNCT
brj-22315	228	22	1i	1i	NOUN
brj-22315	228	23	ivar	ivar	VERB
brj-22315	228	24	var	var	ADP
brj-22315	228	25			NUM
brj-22315	228	26	=	=	PUNCT
brj-22315	228	27	the	the	DET
brj-22315	228	28	relationship	relationship	NOUN
brj-22315	228	29	matrix	matrix	NOUN
brj-22315	228	30	approximation	approximation	NOUN
brj-22315	228	31	estimation	estimation	NOUN
brj-22315	228	32	approximate	approximate	ADJ
brj-22315	228	33	estimation	estimation	NOUN
brj-22315	228	34	of	of	ADP
brj-22315	228	35	relationship	relationship	NOUN
brj-22315	228	36	matrix	matrix	NOUN
brj-22315	228	37	(	(	PUNCT
brj-22315	228	38	)	)	PUNCT
brj-22315	228	39	1	1	NUM
brj-22315	228	40	*	*	SYM
brj-22315	228	41	1	1	NUM
brj-22315	228	42	1	1	NUM
brj-22315	228	43	1	1	NUM
brj-22315	228	44	1	1	NUM
brj-22315	228	45	1	1	NUM
brj-22315	228	46	t	t	NOUN
brj-22315	228	47	t	t	NOUN
brj-22315	228	48	t	t	PROPN
brj-22315	228	49	t	t	PROPN
brj-22315	228	50	t	t	PROPN
brj-22315	228	51	t	t	PROPN
brj-22315	229	1	i	i	PRON
brj-22315	229	2	i	i	PRON
brj-22315	229	3	ia	ia	VERB
brj-22315	229	4	a	a	DET
brj-22315	229	5	ia	ia	X
brj-22315	229	6	af	af	NOUN
brj-22315	229	7			X
brj-22315	229	8			VERB
brj-22315	229	9			X
brj-22315	229	10	+	+	NOUN
brj-22315	229	11	+	+	X
brj-22315	230	1	+	+	PUNCT
brj-22315	230	2	+	+	PUNCT
brj-22315	230	3	+	+	PUNCT
brj-22315	230	4	+	+	ADJ
brj-22315	230	5	=	=	ADJ
brj-22315	230	6	+	+	ADJ
brj-22315	230	7			X
brj-22315	230	8	(	(	PUNCT
brj-22315	230	9	31	31	NUM
brj-22315	230	10	)	)	PUNCT
brj-22315	230	11	(	(	PUNCT
brj-22315	230	12	)	)	PUNCT
brj-22315	230	13	1	1	NUM
brj-22315	230	14	*	*	SYM
brj-22315	230	15	1	1	NUM
brj-22315	230	16	*	*	SYM
brj-22315	230	17	1	1	NUM
brj-22315	230	18	1	1	NUM
brj-22315	230	19	*	*	SYM
brj-22315	230	20	1	1	NUM
brj-22315	230	21	1	1	NUM
brj-22315	230	22	t	t	NOUN
brj-22315	230	23	t	t	NOUN
brj-22315	230	24	t	t	PROPN
brj-22315	230	25	t	t	PROPN
brj-22315	230	26	t	t	PROPN
brj-22315	230	27	t	t	PROPN
brj-22315	231	1	i	i	PRON
brj-22315	231	2	i	i	PRON
brj-22315	231	3	ia	ia	VERB
brj-22315	231	4	a	a	DET
brj-22315	231	5	ia	ia	PROPN
brj-22315	231	6	ag	ag	X
brj-22315	231	7			PROPN
brj-22315	231	8			VERB
brj-22315	231	9			X
brj-22315	231	10	+	+	NOUN
brj-22315	231	11	+	+	X
brj-22315	232	1	+	+	PUNCT
brj-22315	232	2	+	+	PUNCT
brj-22315	232	3	+	+	PUNCT
brj-22315	232	4	+	+	ADJ
brj-22315	232	5	=	=	ADJ
brj-22315	232	6	+	+	ADJ
brj-22315	232	7			X
brj-22315	232	8	(	(	PUNCT
brj-22315	232	9	32	32	NUM
brj-22315	232	10	)	)	PUNCT
brj-22315	232	11	1	1	NUM
brj-22315	232	12	t	t	NOUN
brj-22315	232	13	ia	ia	NOUN
brj-22315	232	14	+	+	CCONJ
brj-22315	232	15	,	,	PUNCT
brj-22315	232	16	1	1	NUM
brj-22315	232	17	t	t	NOUN
brj-22315	232	18	ia	ia	NOUN
brj-22315	232	19	+	+	CCONJ
brj-22315	232	20	,	,	PUNCT
brj-22315	232	21	*	*	PROPN
brj-22315	232	22	1	1	NUM
brj-22315	232	23	t	t	NOUN
brj-22315	232	24	ia	ia	NOUN
brj-22315	232	25	+	+	CCONJ
brj-22315	232	26	and	and	CCONJ
brj-22315	232	27	*	*	PUNCT
brj-22315	232	28	1	1	NUM
brj-22315	232	29	t	t	NOUN
brj-22315	232	30	ia	ia	NOUN
brj-22315	232	31	+	+	CCONJ
brj-22315	232	32	is	be	AUX
brj-22315	232	33	factor	factor	NOUN
brj-22315	232	34	relationship	relationship	NOUN
brj-22315	232	35	matrix	matrix	NOUN
brj-22315	232	36	：	：	PUNCT
brj-22315	232	37	minimize	minimize	VERB
brj-22315	232	38	the	the	DET
brj-22315	232	39	variance	variance	NOUN
brj-22315	232	40	of	of	ADP
brj-22315	232	41	i	i	PROPN
brj-22315	232	42	and	and	CCONJ
brj-22315	232	43	i	i	NOUN
brj-22315	232	44	,	,	PUNCT
brj-22315	232	45	let	let	VERB
brj-22315	232	46	:	:	PUNCT
brj-22315	232	47	(	(	PUNCT
brj-22315	232	48	)	)	PUNCT
brj-22315	232	49	=	=	SYM
brj-22315	232	50	(	(	PUNCT
brj-22315	232	51	)	)	PUNCT
brj-22315	232	52	1i	1i	NOUN
brj-22315	232	53	ivar	ivar	VERB
brj-22315	232	54	var	var	ADP
brj-22315	232	55			NUM
brj-22315	232	56	=	=	SYM
brj-22315	232	57	weight	weight	NOUN
brj-22315	232	58	estimation	estimation	NOUN
brj-22315	232	59	iterative	iterative	NOUN
brj-22315	232	60	results	result	NOUN
brj-22315	232	61	of	of	ADP
brj-22315	232	62	load	load	NOUN
brj-22315	232	63	matrix	matrix	NOUN
brj-22315	232	64	and	and	CCONJ
brj-22315	232	65	score	score	NOUN
brj-22315	232	66	matrix	matrix	NOUN
brj-22315	232	67	for	for	ADP
brj-22315	232	68	pls	pls	NOUN
brj-22315	232	69	-	-	PUNCT
brj-22315	232	70	sem	sem	NOUN
brj-22315	232	71	*	*	NOUN
brj-22315	232	72	1	1	NUM
brj-22315	232	73	1	1	NUM
brj-22315	232	74	1	1	NUM
brj-22315	232	75	,	,	PUNCT
brj-22315	232	76	t	t	PROPN
brj-22315	232	77	t	t	PROPN
brj-22315	232	78	t	t	X
brj-22315	233	1	ij	ij	INTJ
brj-22315	233	2	ij	ij	INTJ
brj-22315	234	1	i	i	INTJ
brj-22315	234	2	y	y	PROPN
brj-22315	234	3	ijy	ijy	VERB
brj-22315	234	4	w	w	ADP
brj-22315	234	5			PUNCT
brj-22315	234	6	+	+	VERB
brj-22315	234	7	+	+	PROPN
brj-22315	235	1	+	+	ADJ
brj-22315	235	2	=	=	X
brj-22315	235	3	+	+	NUM
brj-22315	235	4	(	(	PUNCT
brj-22315	235	5	33	33	NUM
brj-22315	235	6	)	)	PUNCT
brj-22315	235	7	(	(	PUNCT
brj-22315	235	8	)	)	PUNCT
brj-22315	235	9	(	(	PUNCT
brj-22315	235	10	)	)	PUNCT
brj-22315	235	11	1	1	NUM
brj-22315	235	12	11	11	NUM
brj-22315	235	13	121	121	NUM
brj-22315	235	14	1	1	NUM
brj-22315	235	15	1	1	NUM
brj-22315	235	16	1	1	NUM
brj-22315	235	17	1	1	NUM
brj-22315	235	18	1	1	NUM
brj-22315	235	19	1	1	NUM
brj-22315	235	20	1	1	NUM
brj-22315	235	21	11	11	NUM
brj-22315	235	22	,	,	PUNCT
brj-22315	235	23	1	1	NUM
brj-22315	235	24	1	1	NUM
brj-22315	235	25	12	12	NUM
brj-22315	235	26	1	1	NUM
brj-22315	235	27	1	1	NUM
brj-22315	235	28	,	,	PUNCT
brj-22315	235	29	1	1	NUM
brj-22315	235	30	,	,	PUNCT
brj-22315	235	31	,	,	PUNCT
brj-22315	235	32	t	t	PROPN
brj-22315	235	33	t	t	PROPN
brj-22315	235	34	t	t	PROPN
brj-22315	235	35	t	t	PROPN
brj-22315	235	36	j	j	PROPN
brj-22315	235	37	t	t	PROPN
brj-22315	235	38	t	t	PROPN
brj-22315	235	39	n	n	PROPN
brj-22315	235	40	n	n	PROPN
brj-22315	235	41	j	j	PROPN
brj-22315	235	42	t	t	NOUN
brj-22315	235	43	x	x	PUNCT
brj-22315	235	44	x	x	X
brj-22315	236	1	w	w	PROPN
brj-22315	236	2	w	w	PROPN
brj-22315	236	3	w	w	PROPN
brj-22315	236	4	x	x	SYM
brj-22315	236	5	w	w	NOUN
brj-22315	236	6	x	x	NOUN
brj-22315	236	7			NOUN
brj-22315	236	8			NOUN
brj-22315	236	9			NUM
brj-22315	236	10	++	++	NOUN
brj-22315	236	11	+	+	X
brj-22315	237	1	+	+	PUNCT
brj-22315	237	2	+	+	ADJ
brj-22315	237	3	+	+	ADJ
brj-22315	237	4	+	+	NUM
brj-22315	237	5			NOUN
brj-22315	237	6			PROPN
brj-22315	237	7			PROPN
brj-22315	237	8			PROPN
brj-22315	238	1			PROPN
brj-22315	238	2	=	=	PROPN
brj-22315	239	1	+	+	CCONJ
brj-22315	239	2			PROPN
brj-22315	240	1			PROPN
brj-22315	241	1			PROPN
brj-22315	241	2			INTJ
brj-22315	241	3			NOUN
brj-22315	241	4	=	=	PUNCT
brj-22315	242	1			X
brj-22315	242	2	+	+	NOUN
brj-22315	242	3			X
brj-22315	242	4	(	(	PUNCT
brj-22315	242	5	34	34	NUM
brj-22315	242	6	)	)	PUNCT
brj-22315	242	7	the	the	DET
brj-22315	242	8	augmented	augment	VERB
brj-22315	242	9	matrix	matrix	NOUN
brj-22315	242	10	between	between	ADP
brj-22315	242	11	primary	primary	ADJ
brj-22315	242	12	and	and	CCONJ
brj-22315	242	13	secondary	secondary	ADJ
brj-22315	242	14	is	be	AUX
brj-22315	242	15	combx	combx	NOUN
brj-22315	242	16	,	,	PUNCT
brj-22315	242	17	the	the	DET
brj-22315	242	18	above	above	ADJ
brj-22315	242	19	formula	formula	NOUN
brj-22315	242	20	is	be	AUX
brj-22315	242	21	transformed	transform	VERB
brj-22315	242	22	into	into	ADP
brj-22315	242	23	:	:	PUNCT
brj-22315	242	24	peer	peer	NOUN
brj-22315	242	25	-	-	PUNCT
brj-22315	242	26	reviewed	review	VERB
brj-22315	242	27	article	article	NOUN
brj-22315	242	28	bioresources.com	bioresources.com	X
brj-22315	242	29	jiang	jiang	PROPN
brj-22315	242	30	et	et	PROPN
brj-22315	242	31	al	al	PROPN
brj-22315	242	32	.	.	PROPN
brj-22315	243	1	(	(	PUNCT
brj-22315	243	2	2023	2023	NUM
brj-22315	243	3	)	)	PUNCT
brj-22315	243	4	.	.	PUNCT
brj-22315	244	1	“	"	PUNCT
brj-22315	244	2	non	non	ADJ
brj-22315	244	3	-	-	ADJ
brj-22315	244	4	destructive	destructive	ADJ
brj-22315	244	5	wood	wood	NOUN
brj-22315	244	6	testing	testing	NOUN
brj-22315	244	7	,	,	PUNCT
brj-22315	244	8	”	"	PUNCT
brj-22315	244	9	bioresources	bioresource	NOUN
brj-22315	244	10	18(2	18(2	NUM
brj-22315	244	11	)	)	PUNCT
brj-22315	244	12	,	,	PUNCT
brj-22315	244	13	3620	3620	NUM
brj-22315	244	14	-	-	SYM
brj-22315	244	15	3641	3641	NUM
brj-22315	244	16	.	.	PUNCT
brj-22315	245	1	3631	3631	NUM
brj-22315	245	2	(	(	PUNCT
brj-22315	245	3	)	)	PUNCT
brj-22315	245	4	(	(	PUNCT
brj-22315	245	5	)	)	SYM
brj-22315	245	6	2	2	NUM
brj-22315	245	7	1	1	NUM
brj-22315	245	8	11	11	NUM
brj-22315	245	9	1	1	NUM
brj-22315	245	10	,	,	PUNCT
brj-22315	245	11	11	11	NUM
brj-22315	245	12	+1	+1	NOUN
brj-22315	245	13	1	1	NUM
brj-22315	245	14	1	1	NUM
brj-22315	245	15	11	11	NUM
brj-22315	245	16	12	12	NUM
brj-22315	245	17	1	1	NUM
brj-22315	245	18	1	1	NUM
brj-22315	245	19	1=	1=	NUM
brj-22315	245	20	,	,	PUNCT
brj-22315	245	21	,	,	PUNCT
brj-22315	245	22	t	t	PROPN
brj-22315	245	23	n	n	ADP
brj-22315	245	24	t	t	X
brj-22315	245	25	tt	tt	PROPN
brj-22315	245	26	t	t	PROPN
brj-22315	245	27	comb	comb	NOUN
brj-22315	245	28	n	n	NOUN
brj-22315	245	29	x	x	NOUN
brj-22315	245	30	x	x	PUNCT
brj-22315	245	31	x	x	PUNCT
brj-22315	245	32	w	w	PROPN
brj-22315	245	33	w	w	PROPN
brj-22315	245	34	w	w	PROPN
brj-22315	245	35	x	x	X
brj-22315	245	36			NOUN
brj-22315	245	37	+	+	NOUN
brj-22315	245	38	+	+	PROPN
brj-22315	245	39	+	+	PROPN
brj-22315	246	1	+	+	ADJ
brj-22315	246	2	+	+	NUM
brj-22315	246	3			NOUN
brj-22315	246	4			PROPN
brj-22315	246	5			PROPN
brj-22315	246	6			PROPN
brj-22315	247	1			PROPN
brj-22315	247	2	=	=	PROPN
brj-22315	247	3	−	−	PROPN
brj-22315	248	1			PROPN
brj-22315	248	2			PROPN
brj-22315	249	1			PROPN
brj-22315	249	2			PROPN
brj-22315	250	1			PROPN
brj-22315	250	2			NOUN
brj-22315	250	3	(	(	PUNCT
brj-22315	250	4	35	35	NUM
brj-22315	250	5	)	)	PUNCT
brj-22315	250	6	the	the	DET
brj-22315	250	7	loading	loading	NOUN
brj-22315	250	8	matrices	matrix	NOUN
brj-22315	250	9	pt	pt	NOUN
brj-22315	250	10	and	and	CCONJ
brj-22315	250	11	ps	ps	PROPN
brj-22315	250	12	are	be	AUX
brj-22315	250	13	expressed	express	VERB
brj-22315	250	14	as	as	ADP
brj-22315	250	15	:	:	PUNCT
brj-22315	250	16	(	(	PUNCT
brj-22315	250	17	)	)	PUNCT
brj-22315	250	18	(	(	PUNCT
brj-22315	250	19	)	)	PUNCT
brj-22315	251	1	+	+	CCONJ
brj-22315	251	2	1	1	NUM
brj-22315	251	3	1	1	NUM
brj-22315	251	4	1	1	NUM
brj-22315	251	5	11	11	NUM
brj-22315	251	6	12	12	NUM
brj-22315	251	7	1	1	NUM
brj-22315	251	8	,	,	PUNCT
brj-22315	251	9	,	,	PUNCT
brj-22315	251	10	,	,	PUNCT
brj-22315	251	11	t	t	PROPN
brj-22315	251	12	t	t	PROPN
brj-22315	251	13	t	t	PROPN
brj-22315	251	14	s	s	PROPN
brj-22315	251	15	ntp	ntp	PROPN
brj-22315	251	16	p	p	PROPN
brj-22315	251	17	w	w	PROPN
brj-22315	251	18	w	w	PROPN
brj-22315	251	19	w+	w+	NOUN
brj-22315	251	20	+	+	X
brj-22315	251	21	+	+	ADJ
brj-22315	251	22	=	=	X
brj-22315	251	23	(	(	PUNCT
brj-22315	251	24	36	36	NUM
brj-22315	251	25	)	)	PUNCT
brj-22315	251	26	the	the	DET
brj-22315	251	27	score	score	NOUN
brj-22315	251	28	matrix	matrix	NOUN
brj-22315	251	29	ttt	ttt	NOUN
brj-22315	251	30	of	of	ADP
brj-22315	251	31	the	the	DET
brj-22315	251	32	host	host	NOUN
brj-22315	251	33	spectrum	spectrum	NOUN
brj-22315	251	34	and	and	CCONJ
brj-22315	251	35	the	the	DET
brj-22315	251	36	score	score	NOUN
brj-22315	251	37	matrix	matrix	NOUN
brj-22315	251	38	tst	tst	NOUN
brj-22315	251	39	of	of	ADP
brj-22315	251	40	the	the	DET
brj-22315	251	41	secondary	secondary	ADJ
brj-22315	251	42	spectrum	spectrum	NOUN
brj-22315	251	43	are	be	AUX
brj-22315	251	44	expressed	express	VERB
brj-22315	251	45	as	as	ADP
brj-22315	251	46	:	:	PUNCT
brj-22315	251	47	(	(	PUNCT
brj-22315	251	48	)	)	PUNCT
brj-22315	251	49	(	(	PUNCT
brj-22315	251	50	)	)	PUNCT
brj-22315	251	51	1	1	NUM
brj-22315	251	52	,	,	PUNCT
brj-22315	251	53	1=	1=	NUM
brj-22315	251	54	,	,	PUNCT
brj-22315	251	55	=	=	SYM
brj-22315	251	56	t	t	PROPN
brj-22315	251	57	comb	comb	NOUN
brj-22315	251	58	tt	tt	PROPN
brj-22315	251	59	stt	stt	PROPN
brj-22315	251	60	t	t	PROPN
brj-22315	251	61	t	t	PROPN
brj-22315	251	62			NOUN
brj-22315	251	63	−	−	X
brj-22315	251	64	(	(	PUNCT
brj-22315	251	65	37	37	NUM
brj-22315	251	66	)	)	PUNCT
brj-22315	251	67	step	step	NOUN
brj-22315	251	68	3	3	NUM
brj-22315	251	69	:	:	PUNCT
brj-22315	251	70	calculate	calculate	VERB
brj-22315	251	71	the	the	DET
brj-22315	251	72	transformation	transformation	NOUN
brj-22315	251	73	matrix	matrix	NOUN
brj-22315	251	74	f.	f.	PROPN
brj-22315	252	1	next	next	ADV
brj-22315	252	2	,	,	PUNCT
brj-22315	252	3	the	the	DET
brj-22315	252	4	xtnew	xtnew	NOUN
brj-22315	252	5	corrected	correct	VERB
brj-22315	252	6	from	from	ADP
brj-22315	252	7	xsp	xsp	NOUN
brj-22315	252	8	can	can	AUX
brj-22315	252	9	be	be	AUX
brj-22315	252	10	obtained	obtain	VERB
brj-22315	252	11	by	by	ADP
brj-22315	252	12	right	right	ADJ
brj-22315	252	13	multiplying	multiply	VERB
brj-22315	252	14	f.	f.	PROPN
brj-22315	252	15	(	(	PUNCT
brj-22315	252	16	38	38	NUM
brj-22315	252	17	)	)	PUNCT
brj-22315	252	18	(	(	PUNCT
brj-22315	252	19	39	39	NUM
brj-22315	252	20	)	)	PUNCT
brj-22315	252	21	in	in	ADP
brj-22315	252	22	summary	summary	NOUN
brj-22315	252	23	,	,	PUNCT
brj-22315	252	24	the	the	DET
brj-22315	252	25	algorithm	algorithm	NOUN
brj-22315	252	26	block	block	NOUN
brj-22315	252	27	diagram	diagram	NOUN
brj-22315	252	28	of	of	ADP
brj-22315	252	29	efea	efea	PROPN
brj-22315	252	30	-	-	PUNCT
brj-22315	252	31	fa	fa	PROPN
brj-22315	252	32	is	be	AUX
brj-22315	252	33	shown	show	VERB
brj-22315	252	34	in	in	ADP
brj-22315	252	35	fig	fig	NOUN
brj-22315	252	36	.	.	PUNCT
brj-22315	253	1	6	6	NUM
brj-22315	253	2	:	:	PUNCT
brj-22315	253	3	fig	fig	NOUN
brj-22315	253	4	.	.	PUNCT
brj-22315	254	1	6	6	X
brj-22315	254	2	.	.	X
brj-22315	254	3	efeasst	efeasst	ADJ
brj-22315	254	4	algorithm	algorithm	NOUN
brj-22315	254	5	results	result	NOUN
brj-22315	254	6	and	and	CCONJ
brj-22315	254	7	discussion	discussion	NOUN
brj-22315	254	8	nir	nir	ADJ
brj-22315	254	9	spectral	spectral	ADJ
brj-22315	254	10	preprocessing	preprocessing	NOUN
brj-22315	254	11	results	result	NOUN
brj-22315	254	12	the	the	DET
brj-22315	254	13	raw	raw	ADJ
brj-22315	254	14	spectra	spectra	NOUN
brj-22315	254	15	from	from	ADP
brj-22315	254	16	the	the	DET
brj-22315	254	17	original	original	ADJ
brj-22315	254	18	database	database	NOUN
brj-22315	254	19	as	as	SCONJ
brj-22315	254	20	measured	measure	VERB
brj-22315	254	21	by	by	ADP
brj-22315	254	22	the	the	DET
brj-22315	254	23	nirquest512	nirquest512	PROPN
brj-22315	254	24	(	(	PUNCT
brj-22315	254	25	fig	fig	NOUN
brj-22315	254	26	.	.	PUNCT
brj-22315	255	1	2	2	NUM
brj-22315	255	2	)	)	PUNCT
brj-22315	256	1	and	and	CCONJ
brj-22315	256	2	the	the	DET
brj-22315	256	3	specim	specim	NOUN
brj-22315	256	4	fx17	fx17	PROPN
brj-22315	256	5	(	(	PUNCT
brj-22315	256	6	fig	fig	NOUN
brj-22315	256	7	.	.	NOUN
brj-22315	256	8	1	1	NUM
brj-22315	256	9	)	)	PUNCT
brj-22315	256	10	spectrometers	spectrometer	NOUN
brj-22315	256	11	are	be	AUX
brj-22315	256	12	depicted	depict	VERB
brj-22315	256	13	in	in	ADP
brj-22315	256	14	fig	fig	NOUN
brj-22315	256	15	.	.	PUNCT
brj-22315	257	1	7	7	NUM
brj-22315	257	2	and	and	CCONJ
brj-22315	257	3	fig	fig	NOUN
brj-22315	257	4	.	.	PUNCT
brj-22315	258	1	8	8	NUM
brj-22315	258	2	,	,	PUNCT
brj-22315	258	3	respectively	respectively	ADV
brj-22315	258	4	.	.	PUNCT
brj-22315	259	1	some	some	DET
brj-22315	259	2	major	major	ADJ
brj-22315	259	3	bands	band	NOUN
brj-22315	259	4	were	be	AUX
brj-22315	259	5	observed	observe	VERB
brj-22315	259	6	on	on	ADP
brj-22315	259	7	both	both	DET
brj-22315	259	8	figures	figure	NOUN
brj-22315	259	9	.	.	PUNCT
brj-22315	260	1	it	it	PRON
brj-22315	260	2	is	be	AUX
brj-22315	260	3	important	important	ADJ
brj-22315	260	4	that	that	SCONJ
brj-22315	260	5	the	the	DET
brj-22315	260	6	light	light	NOUN
brj-22315	260	7	scattering	scattering	NOUN
brj-22315	260	8	has	have	VERB
brj-22315	260	9	a	a	DET
brj-22315	260	10	significant	significant	ADJ
brj-22315	260	11	impact	impact	NOUN
brj-22315	260	12	on	on	ADP
brj-22315	260	13	the	the	DET
brj-22315	260	14	spectra	spectra	NOUN
brj-22315	260	15	collected	collect	VERB
brj-22315	260	16	by	by	ADP
brj-22315	260	17	both	both	DET
brj-22315	260	18	instruments	instrument	NOUN
brj-22315	260	19	.	.	PUNCT
brj-22315	261	1	in	in	ADP
brj-22315	261	2	fact	fact	NOUN
brj-22315	261	3	,	,	PUNCT
brj-22315	261	4	a	a	DET
brj-22315	261	5	significant	significant	ADJ
brj-22315	261	6	proportion	proportion	NOUN
brj-22315	261	7	of	of	ADP
brj-22315	261	8	photons	photon	NOUN
brj-22315	261	9	that	that	PRON
brj-22315	261	10	are	be	AUX
brj-22315	261	11	not	not	PART
brj-22315	261	12	caught	catch	VERB
brj-22315	261	13	by	by	ADP
brj-22315	261	14	the	the	DET
brj-22315	261	15	sensors	sensor	NOUN
brj-22315	261	16	and	and	CCONJ
brj-22315	261	17	are	be	AUX
brj-22315	261	18	so	so	ADV
brj-22315	261	19	assumed	assume	VERB
brj-22315	261	20	to	to	PART
brj-22315	261	21	be	be	AUX
brj-22315	261	22	absorbed	absorb	VERB
brj-22315	261	23	are	be	AUX
brj-22315	261	24	multiplicative	multiplicative	ADJ
brj-22315	261	25	scattered	scatter	VERB
brj-22315	261	26	.	.	PUNCT
brj-22315	262	1	after	after	ADP
brj-22315	262	2	the	the	DET
brj-22315	262	3	log	log	NOUN
brj-22315	262	4	transform	transform	NOUN
brj-22315	262	5	,	,	PUNCT
brj-22315	262	6	this	this	PRON
brj-22315	262	7	is	be	AUX
brj-22315	262	8	additive	additive	ADJ
brj-22315	262	9	scattered	scatter	VERB
brj-22315	262	10	.	.	PUNCT
brj-22315	263	1	peer	peer	NOUN
brj-22315	263	2	-	-	PUNCT
brj-22315	263	3	reviewed	review	VERB
brj-22315	263	4	article	article	NOUN
brj-22315	263	5	bioresources.com	bioresources.com	X
brj-22315	263	6	jiang	jiang	PROPN
brj-22315	263	7	et	et	PROPN
brj-22315	263	8	al	al	PROPN
brj-22315	263	9	.	.	PROPN
brj-22315	263	10	(	(	PUNCT
brj-22315	263	11	2023	2023	NUM
brj-22315	263	12	)	)	PUNCT
brj-22315	263	13	.	.	PUNCT
brj-22315	264	1	“	"	PUNCT
brj-22315	264	2	non	non	ADJ
brj-22315	264	3	-	-	ADJ
brj-22315	264	4	destructive	destructive	ADJ
brj-22315	264	5	wood	wood	NOUN
brj-22315	264	6	testing	testing	NOUN
brj-22315	264	7	,	,	PUNCT
brj-22315	264	8	”	"	PUNCT
brj-22315	264	9	bioresources	bioresource	NOUN
brj-22315	264	10	18(2	18(2	NUM
brj-22315	264	11	)	)	PUNCT
brj-22315	264	12	,	,	PUNCT
brj-22315	264	13	3620	3620	NUM
brj-22315	264	14	-	-	SYM
brj-22315	264	15	3641	3641	NUM
brj-22315	264	16	.	.	PUNCT
brj-22315	265	1	3632	3632	NUM
brj-22315	265	2	fig	fig	NOUN
brj-22315	265	3	.	.	PUNCT
brj-22315	266	1	7	7	X
brj-22315	266	2	.	.	NUM
brj-22315	266	3	unprocessed	unprocesse	VERB
brj-22315	266	4	primary	primary	ADJ
brj-22315	266	5	spectra	spectra	ADJ
brj-22315	266	6	fig	fig	NOUN
brj-22315	266	7	.	.	PUNCT
brj-22315	267	1	8	8	NUM
brj-22315	267	2	.	.	NUM
brj-22315	267	3	unprocessed	unprocesse	VERB
brj-22315	267	4	secondary	secondary	ADJ
brj-22315	267	5	spectra	spectra	NOUN
brj-22315	267	6	in	in	ADP
brj-22315	267	7	this	this	DET
brj-22315	267	8	experiment	experiment	NOUN
brj-22315	267	9	,	,	PUNCT
brj-22315	267	10	we	we	PRON
brj-22315	267	11	used	use	VERB
brj-22315	267	12	two	two	NUM
brj-22315	267	13	classical	classical	ADJ
brj-22315	267	14	spectrum	spectrum	NOUN
brj-22315	267	15	preprocessing	preprocessing	NOUN
brj-22315	267	16	methods	method	NOUN
brj-22315	267	17	,	,	PUNCT
brj-22315	267	18	standard	standard	ADJ
brj-22315	267	19	normal	normal	ADJ
brj-22315	267	20	variate	variate	NOUN
brj-22315	267	21	(	(	PUNCT
brj-22315	267	22	snv	snv	PROPN
brj-22315	267	23	)	)	PUNCT
brj-22315	267	24	and	and	CCONJ
brj-22315	267	25	savitzky	savitzky	ADJ
brj-22315	267	26	golay	golay	NOUN
brj-22315	267	27	filter	filter	NOUN
brj-22315	267	28	(	(	PUNCT
brj-22315	267	29	s	s	NOUN
brj-22315	267	30	-	-	PUNCT
brj-22315	267	31	g	g	NOUN
brj-22315	267	32	)	)	PUNCT
brj-22315	267	33	,	,	PUNCT
brj-22315	267	34	to	to	PART
brj-22315	267	35	identify	identify	VERB
brj-22315	267	36	the	the	DET
brj-22315	267	37	spectral	spectral	ADJ
brj-22315	267	38	preprocessing	preprocessing	NOUN
brj-22315	267	39	approach	approach	NOUN
brj-22315	267	40	with	with	ADP
brj-22315	267	41	the	the	DET
brj-22315	267	42	greatest	great	ADJ
brj-22315	267	43	generalization	generalization	NOUN
brj-22315	267	44	capability	capability	NOUN
brj-22315	267	45	.	.	PUNCT
brj-22315	268	1	for	for	ADP
brj-22315	268	2	each	each	DET
brj-22315	268	3	spectrum	spectrum	NOUN
brj-22315	268	4	preprocessing	preprocessing	NOUN
brj-22315	268	5	approach	approach	NOUN
brj-22315	268	6	,	,	PUNCT
brj-22315	268	7	we	we	PRON
brj-22315	268	8	first	first	ADV
brj-22315	268	9	applied	apply	VERB
brj-22315	268	10	the	the	DET
brj-22315	268	11	identical	identical	ADJ
brj-22315	268	12	spectral	spectral	ADJ
brj-22315	268	13	preprocessing	preprocessing	NOUN
brj-22315	268	14	to	to	ADP
brj-22315	268	15	the	the	DET
brj-22315	268	16	source	source	NOUN
brj-22315	268	17	domain	domain	NOUN
brj-22315	268	18	and	and	CCONJ
brj-22315	268	19	the	the	DET
brj-22315	268	20	target	target	NOUN
brj-22315	268	21	domain	domain	NOUN
brj-22315	268	22	,	,	PUNCT
brj-22315	268	23	then	then	ADV
brj-22315	268	24	used	use	VERB
brj-22315	268	25	the	the	DET
brj-22315	268	26	processed	process	VERB
brj-22315	268	27	source	source	NOUN
brj-22315	268	28	domain	domain	NOUN
brj-22315	268	29	to	to	PART
brj-22315	268	30	create	create	VERB
brj-22315	268	31	the	the	DET
brj-22315	268	32	calibration	calibration	NOUN
brj-22315	268	33	transfer	transfer	NOUN
brj-22315	268	34	models	model	NOUN
brj-22315	268	35	and	and	CCONJ
brj-22315	268	36	the	the	DET
brj-22315	268	37	processed	process	VERB
brj-22315	268	38	source	source	NOUN
brj-22315	268	39	domain	domain	NOUN
brj-22315	268	40	and	and	CCONJ
brj-22315	268	41	target	target	NOUN
brj-22315	268	42	domain	domain	NOUN
brj-22315	268	43	to	to	PART
brj-22315	268	44	evaluate	evaluate	VERB
brj-22315	268	45	the	the	DET
brj-22315	268	46	performance	performance	NOUN
brj-22315	268	47	.	.	PUNCT
brj-22315	269	1	as	as	SCONJ
brj-22315	269	2	depicted	depict	VERB
brj-22315	269	3	in	in	ADP
brj-22315	269	4	figs	fig	NOUN
brj-22315	269	5	.	.	PUNCT
brj-22315	270	1	9	9	NUM
brj-22315	270	2	-	-	SYM
brj-22315	270	3	12	12	NUM
brj-22315	270	4	,	,	PUNCT
brj-22315	270	5	the	the	DET
brj-22315	270	6	spectra	spectra	NOUN
brj-22315	270	7	of	of	ADP
brj-22315	270	8	each	each	DET
brj-22315	270	9	dataset	dataset	NOUN
brj-22315	270	10	were	be	AUX
brj-22315	270	11	drawn	draw	VERB
brj-22315	270	12	following	follow	VERB
brj-22315	270	13	snv	snv	PROPN
brj-22315	270	14	-	-	PUNCT
brj-22315	270	15	sg	sg	PROPN
brj-22315	270	16	spectral	spectral	ADJ
brj-22315	270	17	preprocessing	preprocessing	NOUN
brj-22315	270	18	.	.	PUNCT
brj-22315	271	1	compared	compare	VERB
brj-22315	271	2	to	to	ADP
brj-22315	271	3	figs	fig	NOUN
brj-22315	271	4	.	.	PUNCT
brj-22315	272	1	7	7	NUM
brj-22315	272	2	,	,	PUNCT
brj-22315	272	3	8	8	NUM
brj-22315	272	4	,	,	PUNCT
brj-22315	272	5	the	the	DET
brj-22315	272	6	spectral	spectral	ADJ
brj-22315	272	7	gaps	gap	NOUN
brj-22315	272	8	between	between	ADP
brj-22315	272	9	the	the	DET
brj-22315	272	10	datasets	dataset	NOUN
brj-22315	272	11	were	be	AUX
brj-22315	272	12	substantially	substantially	ADV
brj-22315	272	13	decreased	decrease	VERB
brj-22315	272	14	,	,	PUNCT
brj-22315	272	15	and	and	CCONJ
brj-22315	272	16	the	the	DET
brj-22315	272	17	spectral	spectral	ADJ
brj-22315	272	18	signal	signal	NOUN
brj-22315	272	19	was	be	AUX
brj-22315	272	20	noticeably	noticeably	ADV
brj-22315	272	21	smoothed	smooth	VERB
brj-22315	272	22	.	.	PUNCT
brj-22315	273	1	wavelength	wavelength	NOUN
brj-22315	273	2	(	(	PUNCT
brj-22315	273	3	nm	nm	NOUN
brj-22315	273	4	)	)	PUNCT
brj-22315	273	5	wavelength	wavelength	NOUN
brj-22315	273	6	(	(	PUNCT
brj-22315	273	7	nm	nm	NOUN
brj-22315	273	8	)	)	PUNCT
brj-22315	273	9	a	a	DET
brj-22315	273	10	b	b	NOUN
brj-22315	273	11	s	s	PART
brj-22315	273	12	o	o	NOUN
brj-22315	273	13	rb	rb	NOUN
brj-22315	273	14	a	a	DET
brj-22315	273	15	n	n	NOUN
brj-22315	273	16	c	c	NOUN
brj-22315	273	17	e	e	X
brj-22315	273	18	(	(	PUNCT
brj-22315	273	19	a	a	DET
brj-22315	273	20	.u	.u	NOUN
brj-22315	273	21	.	.	PUNCT
brj-22315	273	22	)	)	PUNCT
brj-22315	274	1	a	a	DET
brj-22315	274	2	b	b	NOUN
brj-22315	274	3	s	s	PART
brj-22315	274	4	o	o	NOUN
brj-22315	274	5	rb	rb	NOUN
brj-22315	274	6	a	a	DET
brj-22315	274	7	n	n	NOUN
brj-22315	274	8	c	c	NOUN
brj-22315	274	9	e	e	X
brj-22315	274	10	(	(	PUNCT
brj-22315	274	11	a	a	DET
brj-22315	274	12	.u	.u	NOUN
brj-22315	274	13	.	.	PUNCT
brj-22315	274	14	)	)	PUNCT
brj-22315	275	1	peer	peer	NOUN
brj-22315	275	2	-	-	PUNCT
brj-22315	275	3	reviewed	review	VERB
brj-22315	275	4	article	article	NOUN
brj-22315	275	5	bioresources.com	bioresources.com	X
brj-22315	275	6	jiang	jiang	PROPN
brj-22315	275	7	et	et	PROPN
brj-22315	275	8	al	al	PROPN
brj-22315	275	9	.	.	PROPN
brj-22315	275	10	(	(	PUNCT
brj-22315	275	11	2023	2023	NUM
brj-22315	275	12	)	)	PUNCT
brj-22315	275	13	.	.	PUNCT
brj-22315	276	1	“	"	PUNCT
brj-22315	276	2	non	non	ADJ
brj-22315	276	3	-	-	ADJ
brj-22315	276	4	destructive	destructive	ADJ
brj-22315	276	5	wood	wood	NOUN
brj-22315	276	6	testing	testing	NOUN
brj-22315	276	7	,	,	PUNCT
brj-22315	276	8	”	"	PUNCT
brj-22315	276	9	bioresources	bioresource	NOUN
brj-22315	276	10	18(2	18(2	NUM
brj-22315	276	11	)	)	PUNCT
brj-22315	276	12	,	,	PUNCT
brj-22315	276	13	3620	3620	NUM
brj-22315	276	14	-	-	SYM
brj-22315	276	15	3641	3641	NUM
brj-22315	276	16	.	.	PUNCT
brj-22315	277	1	3633	3633	NUM
brj-22315	277	2	fig	fig	NOUN
brj-22315	277	3	.	.	PUNCT
brj-22315	278	1	9	9	X
brj-22315	278	2	.	.	X
brj-22315	278	3	primary	primary	ADJ
brj-22315	278	4	spectra	spectra	NOUN
brj-22315	278	5	pre	pre	VERB
brj-22315	278	6	-	-	VERB
brj-22315	278	7	processed	processed	ADJ
brj-22315	278	8	using	use	VERB
brj-22315	278	9	the	the	DET
brj-22315	278	10	snv	snv	PROPN
brj-22315	278	11	method	method	PROPN
brj-22315	278	12	fig	fig	PROPN
brj-22315	278	13	.	.	PUNCT
brj-22315	279	1	10	10	NUM
brj-22315	279	2	.	.	PUNCT
brj-22315	279	3	primary	primary	ADJ
brj-22315	279	4	spectra	spectra	NOUN
brj-22315	279	5	pre	pre	VERB
brj-22315	279	6	-	-	VERB
brj-22315	279	7	processed	processed	ADJ
brj-22315	279	8	using	use	VERB
brj-22315	279	9	the	the	DET
brj-22315	279	10	snv	snv	PROPN
brj-22315	279	11	-	-	PUNCT
brj-22315	279	12	sg	sg	PROPN
brj-22315	279	13	method	method	PROPN
brj-22315	279	14	fig	fig	NOUN
brj-22315	279	15	.	.	PUNCT
brj-22315	280	1	11	11	NUM
brj-22315	280	2	.	.	PUNCT
brj-22315	280	3	secondary	secondary	ADJ
brj-22315	280	4	spectra	spectra	ADJ
brj-22315	280	5	pre	pre	VERB
brj-22315	280	6	-	-	VERB
brj-22315	280	7	processed	processed	ADJ
brj-22315	280	8	using	use	VERB
brj-22315	280	9	the	the	DET
brj-22315	280	10	snv	snv	PROPN
brj-22315	280	11	method	method	PROPN
brj-22315	280	12	fig	fig	PROPN
brj-22315	280	13	.	.	PUNCT
brj-22315	281	1	12	12	NUM
brj-22315	281	2	.	.	PUNCT
brj-22315	281	3	secondary	secondary	ADJ
brj-22315	281	4	spectra	spectra	ADJ
brj-22315	281	5	pre	pre	VERB
brj-22315	281	6	-	-	VERB
brj-22315	281	7	processed	processed	ADJ
brj-22315	281	8	using	use	VERB
brj-22315	281	9	the	the	DET
brj-22315	281	10	snv	snv	NOUN
brj-22315	281	11	-	-	PUNCT
brj-22315	281	12	sg	sg	PROPN
brj-22315	281	13	method	method	NOUN
brj-22315	281	14	pls	pls	PROPN
brj-22315	281	15	-	-	PUNCT
brj-22315	281	16	sem	sem	NOUN
brj-22315	281	17	modeling	modeling	NOUN
brj-22315	281	18	process	process	NOUN
brj-22315	281	19	figures	figure	NOUN
brj-22315	281	20	13	13	NUM
brj-22315	281	21	and	and	CCONJ
brj-22315	281	22	14	14	NUM
brj-22315	281	23	depict	depict	NOUN
brj-22315	281	24	statistically	statistically	ADV
brj-22315	281	25	significant	significant	ADJ
brj-22315	281	26	relationships	relationship	NOUN
brj-22315	281	27	between	between	ADP
brj-22315	281	28	lignocellulose	lignocellulose	PROPN
brj-22315	281	29	,	,	PUNCT
brj-22315	281	30	lignin	lignin	NOUN
brj-22315	281	31	,	,	PUNCT
brj-22315	281	32	moisture	moisture	NOUN
brj-22315	281	33	content	content	NOUN
brj-22315	281	34	and	and	CCONJ
brj-22315	281	35	mechanical	mechanical	ADJ
brj-22315	281	36	characteristics	characteristic	NOUN
brj-22315	281	37	,	,	PUNCT
brj-22315	281	38	with	with	ADP
brj-22315	281	39	roundel	roundel	ADJ
brj-22315	281	40	symbols	symbol	NOUN
brj-22315	281	41	representing	represent	VERB
brj-22315	281	42	the	the	DET
brj-22315	281	43	pertinent	pertinent	ADJ
brj-22315	281	44	latent	latent	NOUN
brj-22315	281	45	variables	variable	NOUN
brj-22315	281	46	.	.	PUNCT
brj-22315	282	1	the	the	DET
brj-22315	282	2	inner	inner	ADJ
brj-22315	282	3	model	model	NOUN
brj-22315	282	4	displayed	display	VERB
brj-22315	282	5	nonnormalized	nonnormalize	VERB
brj-22315	282	6	path	path	NOUN
brj-22315	282	7	coefficients	coefficient	NOUN
brj-22315	282	8	,	,	PUNCT
brj-22315	282	9	then	then	ADV
brj-22315	282	10	the	the	DET
brj-22315	282	11	outer	outer	ADJ
brj-22315	282	12	model	model	NOUN
brj-22315	282	13	displayed	display	VERB
brj-22315	282	14	rescaled	rescale	VERB
brj-22315	282	15	outer	outer	ADJ
brj-22315	282	16	weights	weight	NOUN
brj-22315	282	17	.	.	PUNCT
brj-22315	283	1	numbers	number	NOUN
brj-22315	283	2	along	along	ADP
brj-22315	283	3	paths	path	NOUN
brj-22315	283	4	correspond	correspond	VERB
brj-22315	283	5	to	to	ADP
brj-22315	283	6	the	the	DET
brj-22315	283	7	weighted	weight	VERB
brj-22315	283	8	correlation	correlation	NOUN
brj-22315	283	9	coefficients	coefficient	NOUN
brj-22315	283	10	that	that	PRON
brj-22315	283	11	represent	represent	VERB
brj-22315	283	12	the	the	DET
brj-22315	283	13	strength	strength	NOUN
brj-22315	283	14	of	of	ADP
brj-22315	283	15	the	the	DET
brj-22315	283	16	relationship	relationship	NOUN
brj-22315	283	17	between	between	ADP
brj-22315	283	18	two	two	NUM
brj-22315	283	19	connected	connected	ADJ
brj-22315	283	20	variables	variable	NOUN
brj-22315	283	21	;	;	PUNCT
brj-22315	283	22	overall	overall	ADJ
brj-22315	283	23	impacts	impact	NOUN
brj-22315	283	24	can	can	AUX
brj-22315	283	25	be	be	AUX
brj-22315	283	26	determined	determine	VERB
brj-22315	283	27	by	by	ADP
brj-22315	283	28	multiplying	multiply	VERB
brj-22315	283	29	path	path	NOUN
brj-22315	283	30	coefficients	coefficient	NOUN
brj-22315	283	31	along	along	ADP
brj-22315	283	32	one	one	NUM
brj-22315	283	33	or	or	CCONJ
brj-22315	283	34	more	more	ADJ
brj-22315	283	35	segments	segment	NOUN
brj-22315	283	36	and	and	CCONJ
brj-22315	283	37	summing	sum	VERB
brj-22315	283	38	across	across	ADP
brj-22315	283	39	all	all	DET
brj-22315	283	40	feasible	feasible	ADJ
brj-22315	283	41	paths	path	NOUN
brj-22315	283	42	.	.	PUNCT
brj-22315	284	1	pls	pls	INTJ
brj-22315	284	2	-	-	PUNCT
brj-22315	284	3	sem	sem	PROPN
brj-22315	284	4	was	be	AUX
brj-22315	284	5	used	use	VERB
brj-22315	284	6	to	to	PART
brj-22315	284	7	examine	examine	VERB
brj-22315	284	8	the	the	DET
brj-22315	284	9	scale	scale	NOUN
brj-22315	284	10	’s	’s	PART
brj-22315	284	11	validity	validity	NOUN
brj-22315	284	12	and	and	CCONJ
brj-22315	284	13	reliability	reliability	NOUN
brj-22315	284	14	.	.	PUNCT
brj-22315	285	1	the	the	DET
brj-22315	285	2	composite	composite	ADJ
brj-22315	285	3	reliability	reliability	NOUN
brj-22315	285	4	(	(	PUNCT
brj-22315	285	5	cr	cr	NOUN
brj-22315	285	6	)	)	PUNCT
brj-22315	285	7	and	and	CCONJ
brj-22315	285	8	outer	outer	ADJ
brj-22315	285	9	loading	loading	NOUN
brj-22315	285	10	values	value	NOUN
brj-22315	285	11	were	be	AUX
brj-22315	285	12	used	use	VERB
brj-22315	285	13	to	to	PART
brj-22315	285	14	evaluate	evaluate	VERB
brj-22315	285	15	the	the	DET
brj-22315	285	16	scale	scale	NOUN
brj-22315	285	17	’s	’s	PART
brj-22315	285	18	dependability	dependability	NOUN
brj-22315	285	19	.	.	PUNCT
brj-22315	286	1	the	the	DET
brj-22315	286	2	average	average	ADJ
brj-22315	286	3	variance	variance	NOUN
brj-22315	286	4	extracted	extract	VERB
brj-22315	286	5	(	(	PUNCT
brj-22315	286	6	ave	ave	NOUN
brj-22315	286	7	)	)	PUNCT
brj-22315	286	8	values	value	NOUN
brj-22315	286	9	were	be	AUX
brj-22315	286	10	used	use	VERB
brj-22315	286	11	to	to	PART
brj-22315	286	12	evaluate	evaluate	VERB
brj-22315	286	13	the	the	DET
brj-22315	286	14	convergent	convergent	NOUN
brj-22315	286	15	validity	validity	NOUN
brj-22315	286	16	of	of	ADP
brj-22315	286	17	this	this	DET
brj-22315	286	18	scale	scale	NOUN
brj-22315	286	19	.	.	PUNCT
brj-22315	287	1	convergent	convergent	NOUN
brj-22315	287	2	validity	validity	NOUN
brj-22315	287	3	assesses	assess	VERB
brj-22315	287	4	the	the	DET
brj-22315	287	5	degree	degree	NOUN
brj-22315	287	6	of	of	ADP
brj-22315	287	7	correlation	correlation	NOUN
brj-22315	287	8	between	between	ADP
brj-22315	287	9	two	two	NUM
brj-22315	287	10	measures	measure	NOUN
brj-22315	287	11	of	of	ADP
brj-22315	287	12	the	the	DET
brj-22315	287	13	same	same	ADJ
brj-22315	287	14	notion	notion	NOUN
brj-22315	287	15	.	.	PUNCT
brj-22315	288	1	the	the	DET
brj-22315	288	2	acceptance	acceptance	NOUN
brj-22315	288	3	criteria	criterion	NOUN
brj-22315	288	4	for	for	ADP
brj-22315	288	5	the	the	DET
brj-22315	288	6	reported	report	VERB
brj-22315	288	7	values	value	NOUN
brj-22315	288	8	for	for	ADP
brj-22315	288	9	the	the	DET
brj-22315	288	10	scale	scale	NOUN
brj-22315	288	11	’s	’s	PART
brj-22315	288	12	validity	validity	NOUN
brj-22315	288	13	and	and	CCONJ
brj-22315	288	14	dependability	dependability	NOUN
brj-22315	288	15	are	be	AUX
brj-22315	288	16	listed	list	VERB
brj-22315	288	17	in	in	ADP
brj-22315	288	18	table	table	NOUN
brj-22315	288	19	1	1	NUM
brj-22315	288	20	.	.	PUNCT
brj-22315	289	1	values	value	NOUN
brj-22315	289	2	for	for	ADP
brj-22315	289	3	composite	composite	ADJ
brj-22315	289	4	reliability	reliability	NOUN
brj-22315	289	5	,	,	PUNCT
brj-22315	289	6	which	which	PRON
brj-22315	289	7	measure	measure	VERB
brj-22315	289	8	how	how	SCONJ
brj-22315	289	9	well	well	ADV
brj-22315	289	10	the	the	DET
brj-22315	289	11	construct	construct	NOUN
brj-22315	289	12	indicators	indicator	NOUN
brj-22315	289	13	reveal	reveal	VERB
brj-22315	289	14	the	the	DET
brj-22315	289	15	latent	latent	NOUN
brj-22315	289	16	variable	variable	NOUN
brj-22315	289	17	,	,	PUNCT
brj-22315	289	18	should	should	AUX
brj-22315	289	19	be	be	AUX
brj-22315	289	20	higher	high	ADJ
brj-22315	289	21	than	than	ADP
brj-22315	289	22	0.70	0.70	NUM
brj-22315	289	23	.	.	PUNCT
brj-22315	290	1	more	more	ADV
brj-22315	290	2	frequently	frequently	ADV
brj-22315	290	3	,	,	PUNCT
brj-22315	290	4	cr	cr	PROPN
brj-22315	290	5	is	be	AUX
brj-22315	290	6	expressed	express	VERB
brj-22315	290	7	as	as	SCONJ
brj-22315	290	8	follows	follow	VERB
brj-22315	290	9	:	:	PUNCT
brj-22315	290	10	peer	peer	NOUN
brj-22315	290	11	-	-	PUNCT
brj-22315	290	12	reviewed	review	VERB
brj-22315	290	13	article	article	NOUN
brj-22315	290	14	bioresources.com	bioresources.com	X
brj-22315	290	15	jiang	jiang	PROPN
brj-22315	290	16	et	et	PROPN
brj-22315	290	17	al	al	PROPN
brj-22315	290	18	.	.	PROPN
brj-22315	291	1	(	(	PUNCT
brj-22315	291	2	2023	2023	NUM
brj-22315	291	3	)	)	PUNCT
brj-22315	291	4	.	.	PUNCT
brj-22315	292	1	“	"	PUNCT
brj-22315	292	2	non	non	ADJ
brj-22315	292	3	-	-	ADJ
brj-22315	292	4	destructive	destructive	ADJ
brj-22315	292	5	wood	wood	NOUN
brj-22315	292	6	testing	testing	NOUN
brj-22315	292	7	,	,	PUNCT
brj-22315	292	8	”	"	PUNCT
brj-22315	292	9	bioresources	bioresource	NOUN
brj-22315	292	10	18(2	18(2	NUM
brj-22315	292	11	)	)	PUNCT
brj-22315	292	12	,	,	PUNCT
brj-22315	292	13	3620	3620	NUM
brj-22315	292	14	-	-	SYM
brj-22315	292	15	3641	3641	NUM
brj-22315	292	16	.	.	PUNCT
brj-22315	293	1	3634	3634	NUM
brj-22315	293	2	2	2	NUM
brj-22315	293	3	2	2	NUM
brj-22315	293	4	i	i	PRON
brj-22315	293	5	i	i	PRON
brj-22315	294	1	i	i	PRON
brj-22315	294	2	i	i	PRON
brj-22315	295	1	i	i	VERB
brj-22315	296	1	i	i	VERB
brj-22315	296	2	cr	cr	X
brj-22315	296	3	e	e	PROPN
brj-22315	296	4			X
brj-22315	296	5			ADJ
brj-22315	296	6			NOUN
brj-22315	296	7			PROPN
brj-22315	296	8			PROPN
brj-22315	296	9			PROPN
brj-22315	297	1			PROPN
brj-22315	297	2	=	=	PROPN
brj-22315	297	3			NOUN
brj-22315	297	4			NOUN
brj-22315	297	5	+	+	ADP
brj-22315	297	6			PROPN
brj-22315	297	7			CCONJ
brj-22315	297	8			PROPN
brj-22315	297	9			PROPN
brj-22315	297	10			X
brj-22315	297	11			X
brj-22315	297	12			X
brj-22315	297	13	(	(	PUNCT
brj-22315	297	14	40	40	NUM
brj-22315	297	15	)	)	PUNCT
brj-22315	297	16	the	the	DET
brj-22315	297	17	ave	ave	NOUN
brj-22315	297	18	loading	loading	NOUN
brj-22315	297	19	value	value	NOUN
brj-22315	297	20	higher	high	ADJ
brj-22315	297	21	than	than	SCONJ
brj-22315	297	22	0.50	0.50	NUM
brj-22315	297	23	was	be	AUX
brj-22315	297	24	advised	advise	VERB
brj-22315	297	25	to	to	PART
brj-22315	297	26	justify	justify	VERB
brj-22315	297	27	the	the	DET
brj-22315	297	28	use	use	NOUN
brj-22315	297	29	of	of	ADP
brj-22315	297	30	the	the	DET
brj-22315	297	31	construct	construct	NOUN
brj-22315	297	32	as	as	SCONJ
brj-22315	297	33	it	it	PRON
brj-22315	297	34	measures	measure	VERB
brj-22315	297	35	the	the	DET
brj-22315	297	36	variance	variance	NOUN
brj-22315	297	37	captured	capture	VERB
brj-22315	297	38	by	by	ADP
brj-22315	297	39	the	the	DET
brj-22315	297	40	indicators	indicator	NOUN
brj-22315	297	41	relative	relative	ADJ
brj-22315	297	42	to	to	ADP
brj-22315	297	43	measurement	measurement	NOUN
brj-22315	297	44	error	error	NOUN
brj-22315	297	45	.	.	PUNCT
brj-22315	298	1	more	more	ADV
brj-22315	298	2	frequently	frequently	ADV
brj-22315	298	3	,	,	PUNCT
brj-22315	298	4	ave	ave	PROPN
brj-22315	298	5	is	be	AUX
brj-22315	298	6	written	write	VERB
brj-22315	298	7	as	as	SCONJ
brj-22315	298	8	follows	follow	VERB
brj-22315	298	9	:	:	PUNCT
brj-22315	298	10	(	(	PUNCT
brj-22315	298	11	)	)	PUNCT
brj-22315	298	12	(	(	PUNCT
brj-22315	298	13	)	)	PUNCT
brj-22315	298	14	2	2	NUM
brj-22315	298	15	2	2	NUM
brj-22315	299	1	i	i	PRON
brj-22315	300	1	i	i	PRON
brj-22315	301	1	i	i	PRON
brj-22315	302	1	i	i	PRON
brj-22315	303	1	i	i	PRON
brj-22315	304	1	i	i	PRON
brj-22315	304	2	ave	ave	VERB
brj-22315	304	3	e	e	PROPN
brj-22315	304	4			X
brj-22315	304	5			ADJ
brj-22315	304	6	=	=	SYM
brj-22315	304	7	+	+	X
brj-22315	304	8			X
brj-22315	304	9			X
brj-22315	304	10			X
brj-22315	304	11	(	(	PUNCT
brj-22315	304	12	41	41	NUM
brj-22315	304	13	)	)	PUNCT
brj-22315	304	14	fig	fig	NOUN
brj-22315	304	15	.	.	PUNCT
brj-22315	305	1	13	13	NUM
brj-22315	305	2	.	.	PUNCT
brj-22315	306	1	structural	structural	ADJ
brj-22315	306	2	equation	equation	NOUN
brj-22315	306	3	path	path	NOUN
brj-22315	306	4	before	before	ADP
brj-22315	306	5	optimization	optimization	NOUN
brj-22315	306	6	fig	fig	NOUN
brj-22315	306	7	.	.	PUNCT
brj-22315	307	1	14	14	NUM
brj-22315	307	2	.	.	PUNCT
brj-22315	308	1	structural	structural	ADJ
brj-22315	308	2	equation	equation	NOUN
brj-22315	308	3	path	path	NOUN
brj-22315	308	4	after	after	ADP
brj-22315	308	5	optimization	optimization	NOUN
brj-22315	308	6	peer	peer	NOUN
brj-22315	308	7	-	-	PUNCT
brj-22315	308	8	reviewed	review	VERB
brj-22315	308	9	article	article	NOUN
brj-22315	308	10	bioresources.com	bioresources.com	X
brj-22315	308	11	jiang	jiang	PROPN
brj-22315	308	12	et	et	PROPN
brj-22315	308	13	al	al	PROPN
brj-22315	308	14	.	.	PROPN
brj-22315	308	15	(	(	PUNCT
brj-22315	308	16	2023	2023	NUM
brj-22315	308	17	)	)	PUNCT
brj-22315	308	18	.	.	PUNCT
brj-22315	309	1	“	"	PUNCT
brj-22315	309	2	non	non	ADJ
brj-22315	309	3	-	-	ADJ
brj-22315	309	4	destructive	destructive	ADJ
brj-22315	309	5	wood	wood	NOUN
brj-22315	309	6	testing	testing	NOUN
brj-22315	309	7	,	,	PUNCT
brj-22315	309	8	”	"	PUNCT
brj-22315	309	9	bioresources	bioresource	NOUN
brj-22315	309	10	18(2	18(2	NUM
brj-22315	309	11	)	)	PUNCT
brj-22315	309	12	,	,	PUNCT
brj-22315	309	13	3620	3620	NUM
brj-22315	309	14	-	-	SYM
brj-22315	309	15	3641	3641	NUM
brj-22315	309	16	.	.	PUNCT
brj-22315	310	1	3635	3635	NUM
brj-22315	310	2	the	the	DET
brj-22315	310	3	unoptimized	unoptimized	ADJ
brj-22315	310	4	fully	fully	ADV
brj-22315	310	5	connected	connected	ADJ
brj-22315	310	6	structural	structural	ADJ
brj-22315	310	7	equation	equation	NOUN
brj-22315	310	8	is	be	AUX
brj-22315	310	9	depicted	depict	VERB
brj-22315	310	10	in	in	ADP
brj-22315	310	11	fig	fig	NOUN
brj-22315	310	12	.	.	PUNCT
brj-22315	311	1	13	13	NUM
brj-22315	311	2	.	.	PUNCT
brj-22315	312	1	most	most	ADJ
brj-22315	312	2	of	of	ADP
brj-22315	312	3	the	the	DET
brj-22315	312	4	composite	composite	ADJ
brj-22315	312	5	reliability	reliability	NOUN
brj-22315	312	6	values	value	NOUN
brj-22315	312	7	in	in	ADP
brj-22315	312	8	this	this	DET
brj-22315	312	9	structural	structural	ADJ
brj-22315	312	10	equation	equation	NOUN
brj-22315	312	11	model	model	NOUN
brj-22315	312	12	less	less	ADJ
brj-22315	312	13	than	than	ADP
brj-22315	312	14	0.8	0.8	NUM
brj-22315	312	15	and	and	CCONJ
brj-22315	312	16	an	an	DET
brj-22315	312	17	ave	ave	NOUN
brj-22315	312	18	index	index	NOUN
brj-22315	312	19	less	less	ADJ
brj-22315	312	20	than	than	ADP
brj-22315	312	21	0.5	0.5	NUM
brj-22315	312	22	.	.	PUNCT
brj-22315	313	1	the	the	DET
brj-22315	313	2	structural	structural	ADJ
brj-22315	313	3	equation	equation	NOUN
brj-22315	313	4	model	model	NOUN
brj-22315	313	5	was	be	AUX
brj-22315	313	6	poor	poor	ADJ
brj-22315	313	7	quality	quality	NOUN
brj-22315	313	8	.	.	PUNCT
brj-22315	314	1	spectral	spectral	ADJ
brj-22315	314	2	bands	band	NOUN
brj-22315	314	3	with	with	ADP
brj-22315	314	4	poor	poor	ADJ
brj-22315	314	5	sem	sem	NOUN
brj-22315	314	6	contribution	contribution	NOUN
brj-22315	314	7	values	value	NOUN
brj-22315	314	8	should	should	AUX
brj-22315	314	9	be	be	AUX
brj-22315	314	10	deleted	delete	VERB
brj-22315	314	11	,	,	PUNCT
brj-22315	314	12	and	and	CCONJ
brj-22315	314	13	the	the	DET
brj-22315	314	14	structural	structural	ADJ
brj-22315	314	15	equation	equation	NOUN
brj-22315	314	16	path	path	NOUN
brj-22315	314	17	should	should	AUX
brj-22315	314	18	be	be	AUX
brj-22315	314	19	made	make	VERB
brj-22315	314	20	simpler	simple	ADJ
brj-22315	314	21	.	.	PUNCT
brj-22315	315	1	the	the	DET
brj-22315	315	2	optimized	optimize	VERB
brj-22315	315	3	structural	structural	ADJ
brj-22315	315	4	equation	equation	NOUN
brj-22315	315	5	model	model	NOUN
brj-22315	315	6	is	be	AUX
brj-22315	315	7	shown	show	VERB
brj-22315	315	8	in	in	ADP
brj-22315	315	9	fig	fig	NOUN
brj-22315	315	10	.	.	PUNCT
brj-22315	316	1	14	14	NUM
brj-22315	316	2	.	.	PUNCT
brj-22315	317	1	at	at	ADP
brj-22315	317	2	this	this	DET
brj-22315	317	3	point	point	NOUN
brj-22315	317	4	,	,	PUNCT
brj-22315	317	5	all	all	DET
brj-22315	317	6	the	the	DET
brj-22315	317	7	composite	composite	ADJ
brj-22315	317	8	reliability	reliability	NOUN
brj-22315	317	9	values	value	NOUN
brj-22315	317	10	ranged	range	VERB
brj-22315	317	11	from	from	ADP
brj-22315	317	12	0.774	0.774	NUM
brj-22315	317	13	to	to	ADP
brj-22315	317	14	0.825	0.825	NUM
brj-22315	317	15	,	,	PUNCT
brj-22315	317	16	indicating	indicate	VERB
brj-22315	317	17	good	good	ADJ
brj-22315	317	18	internal	internal	ADJ
brj-22315	317	19	consistency	consistency	NOUN
brj-22315	317	20	reliability	reliability	NOUN
brj-22315	317	21	;	;	PUNCT
brj-22315	317	22	the	the	DET
brj-22315	317	23	aves	ave	NOUN
brj-22315	317	24	ranged	range	VERB
brj-22315	317	25	from	from	ADP
brj-22315	317	26	0.632	0.632	NUM
brj-22315	317	27	to	to	ADP
brj-22315	317	28	0.703	0.703	NUM
brj-22315	317	29	,	,	PUNCT
brj-22315	317	30	which	which	PRON
brj-22315	317	31	were	be	AUX
brj-22315	317	32	all	all	ADV
brj-22315	317	33	within	within	ADP
brj-22315	317	34	the	the	DET
brj-22315	317	35	recommended	recommend	VERB
brj-22315	317	36	range	range	NOUN
brj-22315	317	37	as	as	SCONJ
brj-22315	317	38	presented	present	VERB
brj-22315	317	39	in	in	ADP
brj-22315	317	40	table	table	NOUN
brj-22315	317	41	1	1	NUM
brj-22315	317	42	.	.	PUNCT
brj-22315	318	1	therefore	therefore	ADV
brj-22315	318	2	,	,	PUNCT
brj-22315	318	3	the	the	DET
brj-22315	318	4	entire	entire	ADJ
brj-22315	318	5	latent	latent	NOUN
brj-22315	318	6	variables	variable	NOUN
brj-22315	318	7	fulfilled	fulfil	VERB
brj-22315	318	8	the	the	DET
brj-22315	318	9	threshold	threshold	NOUN
brj-22315	318	10	value	value	NOUN
brj-22315	318	11	and	and	CCONJ
brj-22315	318	12	met	meet	VERB
brj-22315	318	13	the	the	DET
brj-22315	318	14	standard	standard	NOUN
brj-22315	318	15	recommended	recommend	VERB
brj-22315	318	16	for	for	ADP
brj-22315	318	17	convergent	convergent	NOUN
brj-22315	318	18	validity	validity	NOUN
brj-22315	318	19	.	.	PUNCT
brj-22315	319	1	table	table	NOUN
brj-22315	319	2	1	1	NUM
brj-22315	319	3	.	.	PUNCT
brj-22315	320	1	results	result	NOUN
brj-22315	320	2	of	of	ADP
brj-22315	320	3	structural	structural	ADJ
brj-22315	320	4	equation	equation	NOUN
brj-22315	320	5	index	index	NOUN
brj-22315	320	6	:	:	PUNCT
brj-22315	320	7	unoptimized	unoptimized	ADJ
brj-22315	320	8	vs	vs	ADP
brj-22315	320	9	optimized	optimize	VERB
brj-22315	320	10	unoptimized	unoptimized	ADJ
brj-22315	320	11	optimized	optimize	VERB
brj-22315	320	12	composite	composite	ADJ
brj-22315	320	13	reliability	reliability	NOUN
brj-22315	320	14	ave	ave	NOUN
brj-22315	320	15	composite	composite	ADJ
brj-22315	320	16	reliability	reliability	NOUN
brj-22315	320	17	ave	ave	PROPN
brj-22315	320	18	latent	latent	PROPN
brj-22315	320	19	variable	variable	NOUN
brj-22315	320	20	1	1	NUM
brj-22315	320	21	0.685	0.685	NUM
brj-22315	320	22	0.362	0.362	NUM
brj-22315	320	23	0.774	0.774	NUM
brj-22315	320	24	0.632	0.632	NUM
brj-22315	320	25	latent	latent	NOUN
brj-22315	320	26	variable	variable	NOUN
brj-22315	320	27	2	2	NUM
brj-22315	320	28	0.747	0.747	NUM
brj-22315	320	29	0.438	0.438	NUM
brj-22315	320	30	0.825	0.825	NUM
brj-22315	320	31	0.703	0.703	NUM
brj-22315	320	32	latent	latent	NOUN
brj-22315	320	33	variable	variable	NOUN
brj-22315	320	34	3	3	NUM
brj-22315	320	35	0.617	0.617	NUM
brj-22315	320	36	0.289	0.289	NUM
brj-22315	320	37	0.81	0.81	NUM
brj-22315	320	38	0.681	0.681	NUM
brj-22315	320	39	latent	latent	NOUN
brj-22315	320	40	variable	variable	NOUN
brj-22315	320	41	4	4	NUM
brj-22315	320	42	0.728	0.728	NUM
brj-22315	320	43	0.476	0.476	NUM
brj-22315	320	44	0.787	0.787	NUM
brj-22315	320	45	0.649	0.649	NUM
brj-22315	320	46	latent	latent	NOUN
brj-22315	320	47	variable	variable	NOUN
brj-22315	320	48	5	5	NUM
brj-22315	320	49	0.705	0.705	NUM
brj-22315	320	50	0.42	0.42	NUM
brj-22315	320	51	0.795	0.795	NUM
brj-22315	320	52	0.664	0.664	NUM
brj-22315	320	53	latent	latent	NOUN
brj-22315	320	54	variable	variable	NOUN
brj-22315	320	55	6	6	NUM
brj-22315	320	56	0.803	0.803	NUM
brj-22315	320	57	0.672	0.672	NUM
brj-22315	320	58	0.803	0.803	NUM
brj-22315	320	59	0.671	0.671	NUM
brj-22315	320	60	the	the	DET
brj-22315	320	61	degree	degree	NOUN
brj-22315	320	62	of	of	ADP
brj-22315	320	63	correlation	correlation	NOUN
brj-22315	320	64	between	between	ADP
brj-22315	320	65	the	the	DET
brj-22315	320	66	formative	formative	ADJ
brj-22315	320	67	items	item	NOUN
brj-22315	320	68	and	and	CCONJ
brj-22315	320	69	the	the	DET
brj-22315	320	70	indicators	indicator	NOUN
brj-22315	320	71	is	be	AUX
brj-22315	320	72	known	know	VERB
brj-22315	320	73	as	as	ADP
brj-22315	320	74	multicollinearity	multicollinearity	NOUN
brj-22315	320	75	.	.	PUNCT
brj-22315	321	1	reflection	reflection	NOUN
brj-22315	321	2	indicators	indicator	NOUN
brj-22315	321	3	are	be	AUX
brj-22315	321	4	frequently	frequently	ADV
brj-22315	321	5	seen	see	VERB
brj-22315	321	6	as	as	ADP
brj-22315	321	7	interchangeable	interchangeable	ADJ
brj-22315	321	8	,	,	PUNCT
brj-22315	321	9	which	which	PRON
brj-22315	321	10	makes	make	VERB
brj-22315	321	11	high	high	ADJ
brj-22315	321	12	correlations	correlation	NOUN
brj-22315	321	13	expected	expect	VERB
brj-22315	321	14	.	.	PUNCT
brj-22315	322	1	however	however	ADV
brj-22315	322	2	,	,	PUNCT
brj-22315	322	3	multicollinearity	multicollinearity	NOUN
brj-22315	322	4	issues	issue	NOUN
brj-22315	322	5	are	be	AUX
brj-22315	322	6	brought	bring	VERB
brj-22315	322	7	on	on	ADP
brj-22315	322	8	by	by	ADP
brj-22315	322	9	significant	significant	ADJ
brj-22315	322	10	correlations	correlation	NOUN
brj-22315	322	11	between	between	ADP
brj-22315	322	12	formative	formative	ADJ
brj-22315	322	13	indicators	indicator	NOUN
brj-22315	322	14	.	.	PUNCT
brj-22315	323	1	more	more	ADV
brj-22315	323	2	frequently	frequently	ADV
brj-22315	323	3	,	,	PUNCT
brj-22315	323	4	vif	vif	PROPN
brj-22315	323	5	is	be	AUX
brj-22315	323	6	written	write	VERB
brj-22315	323	7	as	as	ADP
brj-22315	323	8	:	:	PUNCT
brj-22315	323	9	2	2	NUM
brj-22315	323	10	1	1	NUM
brj-22315	323	11	1	1	NUM
brj-22315	323	12	vif	vif	NOUN
brj-22315	323	13	r	r	NOUN
brj-22315	323	14	=	=	SYM
brj-22315	323	15	−	−	PROPN
brj-22315	323	16	(	(	PUNCT
brj-22315	323	17	42	42	NUM
brj-22315	323	18	)	)	PUNCT
brj-22315	323	19	a	a	DET
brj-22315	323	20	multiple	multiple	ADJ
brj-22315	323	21	regression	regression	NOUN
brj-22315	323	22	model	model	NOUN
brj-22315	323	23	is	be	AUX
brj-22315	323	24	used	use	VERB
brj-22315	323	25	to	to	PART
brj-22315	323	26	calculate	calculate	VERB
brj-22315	323	27	formative	formative	ADJ
brj-22315	323	28	construct	construct	NOUN
brj-22315	323	29	scores	score	NOUN
brj-22315	323	30	,	,	PUNCT
brj-22315	323	31	where	where	SCONJ
brj-22315	323	32	the	the	DET
brj-22315	323	33	formative	formative	ADJ
brj-22315	323	34	indicators	indicator	NOUN
brj-22315	323	35	are	be	AUX
brj-22315	323	36	the	the	DET
brj-22315	323	37	independent	independent	ADJ
brj-22315	323	38	variables	variable	NOUN
brj-22315	323	39	and	and	CCONJ
brj-22315	323	40	the	the	DET
brj-22315	323	41	construct	construct	NOUN
brj-22315	323	42	scores	score	NOUN
brj-22315	323	43	are	be	AUX
brj-22315	323	44	the	the	DET
brj-22315	323	45	dependent	dependent	ADJ
brj-22315	323	46	variable	variable	NOUN
brj-22315	323	47	.	.	PUNCT
brj-22315	324	1	the	the	DET
brj-22315	324	2	variance	variance	NOUN
brj-22315	324	3	inflation	inflation	NOUN
brj-22315	324	4	factor	factor	NOUN
brj-22315	324	5	(	(	PUNCT
brj-22315	324	6	vif	vif	PROPN
brj-22315	324	7	)	)	PUNCT
brj-22315	324	8	,	,	PUNCT
brj-22315	324	9	which	which	PRON
brj-22315	324	10	is	be	AUX
brj-22315	324	11	present	present	ADJ
brj-22315	324	12	in	in	ADP
brj-22315	324	13	most	most	ADJ
brj-22315	324	14	statistical	statistical	ADJ
brj-22315	324	15	software	software	NOUN
brj-22315	324	16	,	,	PUNCT
brj-22315	324	17	is	be	AUX
brj-22315	324	18	investigated	investigate	VERB
brj-22315	324	19	to	to	PART
brj-22315	324	20	ascertain	ascertain	VERB
brj-22315	324	21	whether	whether	SCONJ
brj-22315	324	22	multicollinearity	multicollinearity	NOUN
brj-22315	324	23	is	be	AUX
brj-22315	324	24	a	a	DET
brj-22315	324	25	problem	problem	NOUN
brj-22315	324	26	.	.	PUNCT
brj-22315	325	1	the	the	DET
brj-22315	325	2	vif	vif	NOUN
brj-22315	325	3	values	value	NOUN
brj-22315	325	4	of	of	ADP
brj-22315	325	5	each	each	DET
brj-22315	325	6	factor	factor	NOUN
brj-22315	325	7	are	be	AUX
brj-22315	325	8	shown	show	VERB
brj-22315	325	9	in	in	ADP
brj-22315	325	10	table	table	NOUN
brj-22315	325	11	2	2	NUM
brj-22315	325	12	,	,	PUNCT
brj-22315	325	13	and	and	CCONJ
brj-22315	325	14	multicollinearity	multicollinearity	NOUN
brj-22315	325	15	is	be	AUX
brj-22315	325	16	unlikely	unlikely	ADJ
brj-22315	325	17	to	to	PART
brj-22315	325	18	be	be	AUX
brj-22315	325	19	concerned	concern	VERB
brj-22315	325	20	if	if	SCONJ
brj-22315	325	21	the	the	DET
brj-22315	325	22	vif	vif	NOUN
brj-22315	325	23	is	be	AUX
brj-22315	325	24	3.0	3.0	NUM
brj-22315	325	25	or	or	CCONJ
brj-22315	325	26	less	less	ADJ
brj-22315	325	27	.	.	PUNCT
brj-22315	326	1	table	table	NOUN
brj-22315	326	2	2	2	NUM
brj-22315	326	3	.	.	PUNCT
brj-22315	326	4	vif	vif	NOUN
brj-22315	326	5	value	value	NOUN
brj-22315	326	6	of	of	ADP
brj-22315	326	7	each	each	DET
brj-22315	326	8	factor	factor	NOUN
brj-22315	326	9	factor	factor	NOUN
brj-22315	326	10	vif	vif	PROPN
brj-22315	326	11	ocean11	ocean11	ADV
brj-22315	326	12	1.098	1.098	NUM
brj-22315	326	13	ocean12	ocean12	NOUN
brj-22315	326	14	1.098	1.098	NUM
brj-22315	326	15	ocean2	ocean2	NOUN
brj-22315	326	16	1.042	1.042	NUM
brj-22315	326	17	ocean4	ocean4	NOUN
brj-22315	326	18	1.117	1.117	NUM
brj-22315	326	19	ocean6	ocean6	NOUN
brj-22315	326	20	1.151	1.151	NUM
brj-22315	326	21	ocean7	ocean7	ADJ
brj-22315	326	22	1.151	1.151	NUM
brj-22315	326	23	specim1	specim1	NOUN
brj-22315	326	24	1.22	1.22	NUM
brj-22315	326	25	specim10	specim10	NOUN
brj-22315	326	26	1.134	1.134	NUM
brj-22315	326	27	specim2	specim2	NOUN
brj-22315	326	28	1.22	1.22	NUM
brj-22315	326	29	specim6	specim6	NOUN
brj-22315	326	30	1.145	1.145	NUM
brj-22315	326	31	specim7	specim7	NOUN
brj-22315	326	32	1.145	1.145	NUM
brj-22315	326	33	specim9	specim9	NOUN
brj-22315	326	34	1.134	1.134	NUM
brj-22315	326	35	y	y	SYM
brj-22315	326	36	1	1	NUM
brj-22315	326	37	ocean1	ocean1	NOUN
brj-22315	326	38	1.077	1.077	NUM
brj-22315	326	39	peer	peer	NOUN
brj-22315	326	40	-	-	PUNCT
brj-22315	326	41	reviewed	review	VERB
brj-22315	326	42	article	article	NOUN
brj-22315	326	43	bioresources.com	bioresources.com	X
brj-22315	326	44	jiang	jiang	PROPN
brj-22315	326	45	et	et	PROPN
brj-22315	326	46	al	al	PROPN
brj-22315	326	47	.	.	PROPN
brj-22315	327	1	(	(	PUNCT
brj-22315	327	2	2023	2023	NUM
brj-22315	327	3	)	)	PUNCT
brj-22315	327	4	.	.	PUNCT
brj-22315	328	1	“	"	PUNCT
brj-22315	328	2	non	non	ADJ
brj-22315	328	3	-	-	ADJ
brj-22315	328	4	destructive	destructive	ADJ
brj-22315	328	5	wood	wood	NOUN
brj-22315	328	6	testing	testing	NOUN
brj-22315	328	7	,	,	PUNCT
brj-22315	328	8	”	"	PUNCT
brj-22315	328	9	bioresources	bioresource	NOUN
brj-22315	328	10	18(2	18(2	NUM
brj-22315	328	11	)	)	PUNCT
brj-22315	328	12	,	,	PUNCT
brj-22315	328	13	3620	3620	NUM
brj-22315	328	14	-	-	SYM
brj-22315	328	15	3641	3641	NUM
brj-22315	328	16	.	.	PUNCT
brj-22315	329	1	3636	3636	NUM
brj-22315	329	2	result	result	NOUN
brj-22315	329	3	of	of	ADP
brj-22315	329	4	wood	wood	NOUN
brj-22315	329	5	tensile	tensile	NOUN
brj-22315	329	6	strength	strength	NOUN
brj-22315	329	7	transfer	transfer	NOUN
brj-22315	329	8	model	model	NOUN
brj-22315	329	9	following	follow	VERB
brj-22315	329	10	snv	snv	PROPN
brj-22315	329	11	-	-	PUNCT
brj-22315	329	12	sg	sg	PRON
brj-22315	329	13	pre	pre	ADJ
brj-22315	329	14	-	-	ADJ
brj-22315	329	15	processing	processing	ADJ
brj-22315	329	16	,	,	PUNCT
brj-22315	329	17	transferable	transferable	ADJ
brj-22315	329	18	models	model	NOUN
brj-22315	329	19	based	base	VERB
brj-22315	329	20	on	on	ADP
brj-22315	329	21	the	the	DET
brj-22315	329	22	pls	pls	PROPN
brj-22315	329	23	-	-	PUNCT
brj-22315	329	24	sem	sem	NOUN
brj-22315	329	25	framework	framework	NOUN
brj-22315	329	26	from	from	ADP
brj-22315	329	27	nir	nir	NOUN
brj-22315	329	28	to	to	ADP
brj-22315	329	29	online	online	PROPN
brj-22315	329	30	hsi	hsi	PROPN
brj-22315	329	31	were	be	AUX
brj-22315	329	32	constructed	construct	VERB
brj-22315	329	33	by	by	ADP
brj-22315	329	34	employing	employ	VERB
brj-22315	329	35	several	several	ADJ
brj-22315	329	36	types	type	NOUN
brj-22315	329	37	of	of	ADP
brj-22315	329	38	calibration	calibration	NOUN
brj-22315	329	39	transfer	transfer	NOUN
brj-22315	329	40	method	method	NOUN
brj-22315	329	41	for	for	ADP
brj-22315	329	42	the	the	DET
brj-22315	329	43	prediction	prediction	NOUN
brj-22315	329	44	of	of	ADP
brj-22315	329	45	the	the	DET
brj-22315	329	46	solid	solid	ADJ
brj-22315	329	47	wood	wood	NOUN
brj-22315	329	48	panels	panel	NOUN
brj-22315	329	49	tensile	tensile	NOUN
brj-22315	329	50	strength	strength	NOUN
brj-22315	329	51	,	,	PUNCT
brj-22315	329	52	and	and	CCONJ
brj-22315	329	53	cca	cca	NOUN
brj-22315	329	54	and	and	CCONJ
brj-22315	329	55	sst	sst	PROPN
brj-22315	329	56	method	method	NOUN
brj-22315	329	57	were	be	AUX
brj-22315	329	58	compared	compare	VERB
brj-22315	329	59	.	.	PUNCT
brj-22315	330	1	the	the	DET
brj-22315	330	2	nir	nir	PROPN
brj-22315	330	3	-	-	PUNCT
brj-22315	330	4	hsi	hsi	PROPN
brj-22315	330	5	spectra	spectra	NOUN
brj-22315	330	6	of	of	ADP
brj-22315	330	7	the	the	DET
brj-22315	330	8	9	9	NUM
brj-22315	330	9	calibration	calibration	NOUN
brj-22315	330	10	samples	sample	NOUN
brj-22315	330	11	were	be	AUX
brj-22315	330	12	subjected	subject	VERB
brj-22315	330	13	to	to	ADP
brj-22315	330	14	each	each	DET
brj-22315	330	15	standardization	standardization	NOUN
brj-22315	330	16	procedure	procedure	NOUN
brj-22315	330	17	for	for	ADP
brj-22315	330	18	spectrum	spectrum	NOUN
brj-22315	330	19	correction	correction	NOUN
brj-22315	330	20	.	.	PUNCT
brj-22315	331	1	the	the	DET
brj-22315	331	2	prediction	prediction	NOUN
brj-22315	331	3	accuracy	accuracy	NOUN
brj-22315	331	4	in	in	ADP
brj-22315	331	5	terms	term	NOUN
brj-22315	331	6	of	of	ADP
brj-22315	331	7	r2	r2	PROPN
brj-22315	331	8	and	and	CCONJ
brj-22315	331	9	rmse	rmse	NOUN
brj-22315	331	10	was	be	AUX
brj-22315	331	11	used	use	VERB
brj-22315	331	12	to	to	PART
brj-22315	331	13	assess	assess	VERB
brj-22315	331	14	the	the	DET
brj-22315	331	15	effectiveness	effectiveness	NOUN
brj-22315	331	16	of	of	ADP
brj-22315	331	17	the	the	DET
brj-22315	331	18	calibration	calibration	NOUN
brj-22315	331	19	transfer	transfer	NOUN
brj-22315	331	20	.	.	PUNCT
brj-22315	332	1	fig	fig	NOUN
brj-22315	332	2	.	.	PUNCT
brj-22315	333	1	15	15	NUM
brj-22315	333	2	.	.	X
brj-22315	333	3	result	result	NOUN
brj-22315	333	4	of	of	ADP
brj-22315	333	5	tensile	tensile	NOUN
brj-22315	333	6	strength	strength	NOUN
brj-22315	333	7	testing	testing	NOUN
brj-22315	333	8	using	use	VERB
brj-22315	333	9	the	the	DET
brj-22315	333	10	sst	sst	NOUN
brj-22315	333	11	calibration	calibration	NOUN
brj-22315	333	12	transfer	transfer	NOUN
brj-22315	333	13	model	model	NOUN
brj-22315	333	14	fig	fig	NOUN
brj-22315	333	15	.	.	PUNCT
brj-22315	334	1	16	16	NUM
brj-22315	334	2	.	.	PUNCT
brj-22315	335	1	result	result	NOUN
brj-22315	335	2	of	of	ADP
brj-22315	335	3	tensile	tensile	NOUN
brj-22315	335	4	strength	strength	NOUN
brj-22315	335	5	testing	testing	NOUN
brj-22315	335	6	using	use	VERB
brj-22315	335	7	the	the	DET
brj-22315	335	8	cca	cca	PROPN
brj-22315	335	9	calibration	calibration	NOUN
brj-22315	335	10	transfer	transfer	NOUN
brj-22315	335	11	model	model	NOUN
brj-22315	335	12	fig	fig	NOUN
brj-22315	335	13	.	.	PUNCT
brj-22315	336	1	17	17	NUM
brj-22315	336	2	.	.	PUNCT
brj-22315	336	3	result	result	NOUN
brj-22315	336	4	of	of	ADP
brj-22315	336	5	tensile	tensile	NOUN
brj-22315	336	6	strength	strength	NOUN
brj-22315	336	7	testing	testing	NOUN
brj-22315	336	8	using	use	VERB
brj-22315	336	9	the	the	DET
brj-22315	336	10	efea	efea	ADJ
brj-22315	336	11	-	-	PUNCT
brj-22315	336	12	sst	sst	NOUN
brj-22315	336	13	calibration	calibration	NOUN
brj-22315	336	14	transfer	transfer	NOUN
brj-22315	336	15	model	model	NOUN
brj-22315	336	16	fig	fig	NOUN
brj-22315	336	17	.	.	PUNCT
brj-22315	337	1	18	18	NUM
brj-22315	337	2	.	.	PUNCT
brj-22315	337	3	result	result	NOUN
brj-22315	337	4	of	of	ADP
brj-22315	337	5	tensile	tensile	NOUN
brj-22315	337	6	strength	strength	NOUN
brj-22315	337	7	testing	testing	NOUN
brj-22315	337	8	using	use	VERB
brj-22315	337	9	the	the	DET
brj-22315	337	10	efea	efea	ADJ
brj-22315	337	11	-	-	PUNCT
brj-22315	337	12	fa	fa	NOUN
brj-22315	337	13	calibration	calibration	NOUN
brj-22315	337	14	transfer	transfer	NOUN
brj-22315	337	15	model	model	NOUN
brj-22315	337	16	figures	figure	NOUN
brj-22315	337	17	15	15	NUM
brj-22315	337	18	through	through	ADP
brj-22315	337	19	18	18	NUM
brj-22315	337	20	and	and	CCONJ
brj-22315	337	21	table	table	NOUN
brj-22315	337	22	3	3	NUM
brj-22315	337	23	depict	depict	VERB
brj-22315	337	24	the	the	DET
brj-22315	337	25	results	result	NOUN
brj-22315	337	26	.	.	PUNCT
brj-22315	338	1	different	different	ADJ
brj-22315	338	2	types	type	NOUN
brj-22315	338	3	of	of	ADP
brj-22315	338	4	calibration	calibration	NOUN
brj-22315	338	5	transfer	transfer	NOUN
brj-22315	338	6	methods	method	NOUN
brj-22315	338	7	have	have	VERB
brj-22315	338	8	a	a	DET
brj-22315	338	9	major	major	ADJ
brj-22315	338	10	impact	impact	NOUN
brj-22315	338	11	on	on	ADP
brj-22315	338	12	performance	performance	NOUN
brj-22315	338	13	.	.	PUNCT
brj-22315	339	1	for	for	ADP
brj-22315	339	2	example	example	NOUN
brj-22315	339	3	,	,	PUNCT
brj-22315	339	4	by	by	ADP
brj-22315	339	5	optimizing	optimize	VERB
brj-22315	339	6	the	the	DET
brj-22315	339	7	cca	cca	PROPN
brj-22315	339	8	methods	method	NOUN
brj-22315	339	9	with	with	ADP
brj-22315	339	10	the	the	DET
brj-22315	339	11	pls	pls	PROPN
brj-22315	339	12	-	-	PUNCT
brj-22315	339	13	sem	sem	NOUN
brj-22315	339	14	framework	framework	NOUN
brj-22315	339	15	,	,	PUNCT
brj-22315	339	16	the	the	DET
brj-22315	339	17	correlation	correlation	NOUN
brj-22315	339	18	coefficient	coefficient	NOUN
brj-22315	339	19	was	be	AUX
brj-22315	339	20	enhanced	enhance	VERB
brj-22315	339	21	from	from	ADP
brj-22315	339	22	0.792	0.792	NUM
brj-22315	339	23	to	to	ADP
brj-22315	339	24	0.813	0.813	NUM
brj-22315	339	25	.	.	PUNCT
brj-22315	340	1	the	the	DET
brj-22315	340	2	correlation	correlation	NOUN
brj-22315	340	3	coefficient	coefficient	NOUN
brj-22315	340	4	was	be	AUX
brj-22315	340	5	increased	increase	VERB
brj-22315	340	6	from	from	ADP
brj-22315	340	7	0.765	0.765	NUM
brj-22315	340	8	to	to	ADP
brj-22315	340	9	0.865	0.865	NUM
brj-22315	340	10	by	by	ADP
brj-22315	340	11	optimizing	optimize	VERB
brj-22315	340	12	the	the	DET
brj-22315	340	13	sst	sst	NOUN
brj-22315	340	14	approaches	approach	NOUN
brj-22315	340	15	with	with	ADP
brj-22315	340	16	this	this	DET
brj-22315	340	17	framework	framework	NOUN
brj-22315	340	18	.	.	PUNCT
brj-22315	341	1	when	when	SCONJ
brj-22315	341	2	compared	compare	VERB
brj-22315	341	3	to	to	ADP
brj-22315	341	4	the	the	DET
brj-22315	341	5	results	result	NOUN
brj-22315	341	6	of	of	ADP
brj-22315	341	7	the	the	DET
brj-22315	341	8	efea	efea	PROPN
brj-22315	341	9	-	-	PUNCT
brj-22315	341	10	fa	fa	NOUN
brj-22315	341	11	approach	approach	NOUN
brj-22315	341	12	of	of	ADP
brj-22315	341	13	validation	validation	NOUN
brj-22315	341	14	samples	sample	NOUN
brj-22315	341	15	(	(	PUNCT
brj-22315	341	16	rp=0.813	rp=0.813	NOUN
brj-22315	341	17	and	and	CCONJ
brj-22315	341	18	rmsep=16.646	rmsep=16.646	NOUN
brj-22315	341	19	,	,	PUNCT
brj-22315	341	20	the	the	DET
brj-22315	341	21	indicator	indicator	NOUN
brj-22315	341	22	of	of	ADP
brj-22315	341	23	efea	efea	ADJ
brj-22315	341	24	-	-	PUNCT
brj-22315	341	25	sst	sst	NOUN
brj-22315	341	26	standardization	standardization	NOUN
brj-22315	341	27	(	(	PUNCT
brj-22315	341	28	rp=0.865	rp=0.865	ADJ
brj-22315	341	29	and	and	CCONJ
brj-22315	341	30	rmsep=11.309	rmsep=11.309	NOUN
brj-22315	341	31	)	)	PUNCT
brj-22315	341	32	had	have	VERB
brj-22315	341	33	the	the	DET
brj-22315	341	34	best	good	ADJ
brj-22315	341	35	flexural	flexural	ADJ
brj-22315	341	36	strength	strength	NOUN
brj-22315	341	37	prediction	prediction	NOUN
brj-22315	341	38	accuracy	accuracy	NOUN
brj-22315	341	39	.	.	PUNCT
brj-22315	342	1	peer	peer	NOUN
brj-22315	342	2	-	-	PUNCT
brj-22315	342	3	reviewed	review	VERB
brj-22315	342	4	article	article	NOUN
brj-22315	342	5	bioresources.com	bioresources.com	X
brj-22315	342	6	jiang	jiang	PROPN
brj-22315	342	7	et	et	PROPN
brj-22315	342	8	al	al	PROPN
brj-22315	342	9	.	.	PROPN
brj-22315	342	10	(	(	PUNCT
brj-22315	342	11	2023	2023	NUM
brj-22315	342	12	)	)	PUNCT
brj-22315	342	13	.	.	PUNCT
brj-22315	343	1	“	"	PUNCT
brj-22315	343	2	non	non	ADJ
brj-22315	343	3	-	-	ADJ
brj-22315	343	4	destructive	destructive	ADJ
brj-22315	343	5	wood	wood	NOUN
brj-22315	343	6	testing	testing	NOUN
brj-22315	343	7	,	,	PUNCT
brj-22315	343	8	”	"	PUNCT
brj-22315	343	9	bioresources	bioresource	NOUN
brj-22315	343	10	18(2	18(2	NUM
brj-22315	343	11	)	)	PUNCT
brj-22315	343	12	,	,	PUNCT
brj-22315	343	13	3620	3620	NUM
brj-22315	343	14	-	-	SYM
brj-22315	343	15	3641	3641	NUM
brj-22315	343	16	.	.	PUNCT
brj-22315	344	1	3637	3637	NUM
brj-22315	344	2	table	table	NOUN
brj-22315	344	3	3	3	NUM
brj-22315	344	4	.	.	PUNCT
brj-22315	344	5	calibration	calibration	NOUN
brj-22315	344	6	transfer	transfer	NOUN
brj-22315	344	7	model	model	NOUN
brj-22315	344	8	prediction	prediction	NOUN
brj-22315	344	9	results	result	NOUN
brj-22315	344	10	of	of	ADP
brj-22315	344	11	timber	timber	NOUN
brj-22315	344	12	tensile	tensile	NOUN
brj-22315	344	13	strength	strength	NOUN
brj-22315	344	14	training	training	NOUN
brj-22315	344	15	set	set	NOUN
brj-22315	344	16	prediction	prediction	NOUN
brj-22315	344	17	set	set	VERB
brj-22315	344	18	rc	rc	PROPN
brj-22315	345	1	rmsec	rmsec	PROPN
brj-22315	345	2	rp	rp	PROPN
brj-22315	345	3	rmsep	rmsep	PROPN
brj-22315	345	4	sst	sst	NOUN
brj-22315	345	5	0.859	0.859	SYM
brj-22315	345	6	12.809	12.809	NUM
brj-22315	345	7	0.765	0.765	NUM
brj-22315	345	8	21.790	21.790	NUM
brj-22315	345	9	cca	cca	NOUN
brj-22315	345	10	0.865	0.865	NUM
brj-22315	345	11	11.404	11.404	NUM
brj-22315	345	12	0.792	0.792	NUM
brj-22315	345	13	24.810	24.810	NUM
brj-22315	345	14	efea	efea	PROPN
brj-22315	345	15	-	-	PUNCT
brj-22315	345	16	sst	sst	NOUN
brj-22315	345	17	0.958	0.958	NUM
brj-22315	345	18	3.337	3.337	NUM
brj-22315	345	19	0.865	0.865	NUM
brj-22315	345	20	11.309	11.309	NUM
brj-22315	345	21	efea	efea	PROPN
brj-22315	345	22	-	-	SYM
brj-22315	345	23	fa	fa	NOUN
brj-22315	345	24	0.960	0.960	NUM
brj-22315	345	25	3.316	3.316	NUM
brj-22315	345	26	0.813	0.813	NUM
brj-22315	345	27	16.646	16.646	NUM
brj-22315	345	28	result	result	NOUN
brj-22315	345	29	of	of	ADP
brj-22315	345	30	wood	wood	NOUN
brj-22315	345	31	flexural	flexural	ADJ
brj-22315	345	32	strength	strength	NOUN
brj-22315	345	33	transfer	transfer	NOUN
brj-22315	345	34	model	model	NOUN
brj-22315	345	35	similar	similar	ADJ
brj-22315	345	36	to	to	ADP
brj-22315	345	37	how	how	SCONJ
brj-22315	345	38	the	the	DET
brj-22315	345	39	tensile	tensile	NOUN
brj-22315	345	40	model	model	NOUN
brj-22315	345	41	is	be	AUX
brj-22315	345	42	built	build	VERB
brj-22315	345	43	,	,	PUNCT
brj-22315	345	44	the	the	DET
brj-22315	345	45	spectral	spectral	ADJ
brj-22315	345	46	transfer	transfer	NOUN
brj-22315	345	47	model	model	NOUN
brj-22315	345	48	for	for	ADP
brj-22315	345	49	wood	wood	NOUN
brj-22315	345	50	bending	bending	NOUN
brj-22315	345	51	is	be	AUX
brj-22315	345	52	built	build	VERB
brj-22315	345	53	.	.	PUNCT
brj-22315	346	1	after	after	SCONJ
brj-22315	346	2	snv	snv	PROPN
brj-22315	346	3	-	-	PUNCT
brj-22315	346	4	sg	sg	PRON
brj-22315	346	5	pre	pre	ADJ
brj-22315	346	6	-	-	ADJ
brj-22315	346	7	processing	processing	ADJ
brj-22315	346	8	,	,	PUNCT
brj-22315	346	9	transferable	transferable	ADJ
brj-22315	346	10	models	model	NOUN
brj-22315	346	11	based	base	VERB
brj-22315	346	12	on	on	ADP
brj-22315	346	13	the	the	DET
brj-22315	346	14	plssem	plssem	NOUN
brj-22315	346	15	framework	framework	NOUN
brj-22315	346	16	from	from	ADP
brj-22315	346	17	nir	nir	NOUN
brj-22315	346	18	to	to	ADP
brj-22315	346	19	online	online	PROPN
brj-22315	346	20	hsi	hsi	PROPN
brj-22315	346	21	were	be	AUX
brj-22315	346	22	built	build	VERB
brj-22315	346	23	using	use	VERB
brj-22315	346	24	a	a	DET
brj-22315	346	25	variety	variety	NOUN
brj-22315	346	26	of	of	ADP
brj-22315	346	27	calibration	calibration	NOUN
brj-22315	346	28	transfer	transfer	NOUN
brj-22315	346	29	methods	method	NOUN
brj-22315	346	30	to	to	PART
brj-22315	346	31	forecast	forecast	VERB
brj-22315	346	32	flexural	flexural	ADJ
brj-22315	346	33	strength	strength	NOUN
brj-22315	346	34	of	of	ADP
brj-22315	346	35	solid	solid	ADJ
brj-22315	346	36	wood	wood	NOUN
brj-22315	346	37	panels	panel	NOUN
brj-22315	346	38	,	,	PUNCT
brj-22315	346	39	and	and	CCONJ
brj-22315	346	40	the	the	DET
brj-22315	346	41	cca	cca	PROPN
brj-22315	346	42	and	and	CCONJ
brj-22315	346	43	sst	sst	NOUN
brj-22315	346	44	methods	method	NOUN
brj-22315	346	45	were	be	AUX
brj-22315	346	46	contrasted	contrast	VERB
brj-22315	346	47	.	.	PUNCT
brj-22315	347	1	fig	fig	NOUN
brj-22315	347	2	.	.	PUNCT
brj-22315	348	1	19	19	NUM
brj-22315	348	2	.	.	X
brj-22315	348	3	result	result	NOUN
brj-22315	348	4	of	of	ADP
brj-22315	348	5	flexural	flexural	ADJ
brj-22315	348	6	strength	strength	NOUN
brj-22315	348	7	testing	testing	NOUN
brj-22315	348	8	using	use	VERB
brj-22315	348	9	the	the	DET
brj-22315	348	10	sst	sst	NOUN
brj-22315	348	11	calibration	calibration	NOUN
brj-22315	348	12	transfer	transfer	NOUN
brj-22315	348	13	model	model	NOUN
brj-22315	348	14	fig	fig	NOUN
brj-22315	348	15	.	.	PUNCT
brj-22315	349	1	20	20	NUM
brj-22315	349	2	.	.	PUNCT
brj-22315	349	3	result	result	NOUN
brj-22315	349	4	of	of	ADP
brj-22315	349	5	flexural	flexural	ADJ
brj-22315	349	6	strength	strength	NOUN
brj-22315	349	7	testing	testing	NOUN
brj-22315	349	8	using	use	VERB
brj-22315	349	9	the	the	DET
brj-22315	349	10	cca	cca	PROPN
brj-22315	349	11	calibration	calibration	NOUN
brj-22315	349	12	transfer	transfer	NOUN
brj-22315	349	13	model	model	NOUN
brj-22315	349	14	fig	fig	NOUN
brj-22315	349	15	.	.	PUNCT
brj-22315	350	1	21	21	NUM
brj-22315	350	2	.	.	PUNCT
brj-22315	350	3	result	result	NOUN
brj-22315	350	4	of	of	ADP
brj-22315	350	5	flexural	flexural	ADJ
brj-22315	350	6	strength	strength	NOUN
brj-22315	350	7	testing	testing	NOUN
brj-22315	350	8	using	use	VERB
brj-22315	350	9	the	the	DET
brj-22315	350	10	efea	efea	ADJ
brj-22315	350	11	-	-	PUNCT
brj-22315	350	12	sst	sst	NOUN
brj-22315	350	13	calibration	calibration	NOUN
brj-22315	350	14	transfer	transfer	NOUN
brj-22315	350	15	model	model	NOUN
brj-22315	350	16	fig	fig	NOUN
brj-22315	350	17	.	.	PUNCT
brj-22315	351	1	22	22	NUM
brj-22315	351	2	.	.	PUNCT
brj-22315	352	1	result	result	NOUN
brj-22315	352	2	of	of	ADP
brj-22315	352	3	flexural	flexural	ADJ
brj-22315	352	4	strength	strength	NOUN
brj-22315	352	5	testing	testing	NOUN
brj-22315	352	6	using	use	VERB
brj-22315	352	7	the	the	DET
brj-22315	352	8	efea	efea	ADJ
brj-22315	352	9	-	-	PUNCT
brj-22315	352	10	fa	fa	NOUN
brj-22315	352	11	calibration	calibration	NOUN
brj-22315	352	12	transfer	transfer	NOUN
brj-22315	352	13	model	model	NOUN
brj-22315	352	14	the	the	DET
brj-22315	352	15	outcomes	outcome	NOUN
brj-22315	352	16	are	be	AUX
brj-22315	352	17	displayed	display	VERB
brj-22315	352	18	in	in	ADP
brj-22315	352	19	figs	fig	NOUN
brj-22315	352	20	.	.	PUNCT
brj-22315	353	1	19	19	NUM
brj-22315	353	2	through	through	ADP
brj-22315	353	3	22	22	NUM
brj-22315	353	4	and	and	CCONJ
brj-22315	353	5	table	table	NOUN
brj-22315	353	6	4	4	NUM
brj-22315	353	7	.	.	PUNCT
brj-22315	354	1	the	the	DET
brj-22315	354	2	performance	performance	NOUN
brj-22315	354	3	of	of	ADP
brj-22315	354	4	various	various	ADJ
brj-22315	354	5	calibration	calibration	NOUN
brj-22315	354	6	transfer	transfer	NOUN
brj-22315	354	7	methods	method	NOUN
brj-22315	354	8	varies	vary	VERB
brj-22315	354	9	significantly	significantly	ADV
brj-22315	354	10	.	.	PUNCT
brj-22315	355	1	in	in	ADP
brj-22315	355	2	particular	particular	ADJ
brj-22315	355	3	,	,	PUNCT
brj-22315	355	4	the	the	DET
brj-22315	355	5	correlation	correlation	NOUN
brj-22315	355	6	coefficient	coefficient	NOUN
brj-22315	355	7	of	of	ADP
brj-22315	355	8	the	the	DET
brj-22315	355	9	cca	cca	PROPN
brj-22315	355	10	approaches	approach	NOUN
brj-22315	355	11	was	be	AUX
brj-22315	355	12	improved	improve	VERB
brj-22315	355	13	from	from	ADP
brj-22315	355	14	0.795	0.795	NUM
brj-22315	355	15	to	to	ADP
brj-22315	355	16	0.912	0.912	NUM
brj-22315	355	17	with	with	ADP
brj-22315	355	18	the	the	DET
brj-22315	355	19	application	application	NOUN
brj-22315	355	20	of	of	ADP
brj-22315	355	21	the	the	DET
brj-22315	355	22	pls	pls	PROPN
brj-22315	355	23	-	-	PUNCT
brj-22315	355	24	sem	sem	NOUN
brj-22315	355	25	framework	framework	NOUN
brj-22315	355	26	.	.	PUNCT
brj-22315	356	1	the	the	DET
brj-22315	356	2	sst	sst	PROPN
brj-22315	356	3	techniques	technique	NOUN
brj-22315	356	4	’	'	PUNCT
brj-22315	356	5	correlation	correlation	NOUN
brj-22315	356	6	coefficient	coefficient	NOUN
brj-22315	356	7	was	be	AUX
brj-22315	356	8	improved	improve	VERB
brj-22315	356	9	using	use	VERB
brj-22315	356	10	this	this	DET
brj-22315	356	11	framework	framework	NOUN
brj-22315	356	12	,	,	PUNCT
brj-22315	356	13	going	go	VERB
brj-22315	356	14	from	from	ADP
brj-22315	356	15	0.778	0.778	NUM
brj-22315	356	16	to	to	ADP
brj-22315	356	17	0.843	0.843	NUM
brj-22315	356	18	.	.	PUNCT
brj-22315	357	1	when	when	SCONJ
brj-22315	357	2	compared	compare	VERB
brj-22315	357	3	to	to	ADP
brj-22315	357	4	the	the	DET
brj-22315	357	5	results	result	NOUN
brj-22315	357	6	obtained	obtain	VERB
brj-22315	357	7	peer	peer	NOUN
brj-22315	357	8	-	-	PUNCT
brj-22315	357	9	reviewed	review	VERB
brj-22315	357	10	article	article	NOUN
brj-22315	357	11	bioresources.com	bioresources.com	X
brj-22315	357	12	jiang	jiang	PROPN
brj-22315	357	13	et	et	PROPN
brj-22315	357	14	al	al	PROPN
brj-22315	357	15	.	.	PROPN
brj-22315	358	1	(	(	PUNCT
brj-22315	358	2	2023	2023	NUM
brj-22315	358	3	)	)	PUNCT
brj-22315	358	4	.	.	PUNCT
brj-22315	359	1	“	"	PUNCT
brj-22315	359	2	non	non	ADJ
brj-22315	359	3	-	-	ADJ
brj-22315	359	4	destructive	destructive	ADJ
brj-22315	359	5	wood	wood	NOUN
brj-22315	359	6	testing	testing	NOUN
brj-22315	359	7	,	,	PUNCT
brj-22315	359	8	”	"	PUNCT
brj-22315	359	9	bioresources	bioresource	NOUN
brj-22315	359	10	18(2	18(2	NUM
brj-22315	359	11	)	)	PUNCT
brj-22315	359	12	,	,	PUNCT
brj-22315	359	13	3620	3620	NUM
brj-22315	359	14	-	-	SYM
brj-22315	359	15	3641	3641	NUM
brj-22315	359	16	.	.	PUNCT
brj-22315	360	1	3638	3638	NUM
brj-22315	360	2	using	use	VERB
brj-22315	360	3	the	the	DET
brj-22315	360	4	efea	efea	ADJ
brj-22315	360	5	-	-	PUNCT
brj-22315	360	6	sst	sst	NOUN
brj-22315	360	7	technique	technique	NOUN
brj-22315	360	8	of	of	ADP
brj-22315	360	9	validation	validation	NOUN
brj-22315	360	10	samples	sample	NOUN
brj-22315	360	11	(	(	PUNCT
brj-22315	360	12	rp=0.843	rp=0.843	NOUN
brj-22315	360	13	and	and	CCONJ
brj-22315	360	14	rmsep	rmsep	NOUN
brj-22315	360	15	=	=	NOUN
brj-22315	360	16	15.178	15.178	NUM
brj-22315	360	17	)	)	PUNCT
brj-22315	361	1	,	,	PUNCT
brj-22315	361	2	the	the	DET
brj-22315	361	3	efea	efea	VERB
brj-22315	361	4	-	-	PUNCT
brj-22315	361	5	fa	fa	NOUN
brj-22315	361	6	standardization	standardization	NOUN
brj-22315	361	7	approach	approach	NOUN
brj-22315	361	8	produced	produce	VERB
brj-22315	361	9	an	an	DET
brj-22315	361	10	equivalent	equivalent	ADJ
brj-22315	361	11	flexural	flexural	ADJ
brj-22315	361	12	strength	strength	NOUN
brj-22315	361	13	prediction	prediction	NOUN
brj-22315	361	14	accuracy	accuracy	NOUN
brj-22315	361	15	of	of	ADP
brj-22315	361	16	rp	rp	NOUN
brj-22315	361	17	=	=	NOUN
brj-22315	361	18	0.912	0.912	NUM
brj-22315	361	19	and	and	CCONJ
brj-22315	361	20	rmsep	rmsep	NOUN
brj-22315	361	21	=	=	NOUN
brj-22315	361	22	10.653	10.653	NUM
brj-22315	361	23	.	.	PUNCT
brj-22315	361	24	table	table	NOUN
brj-22315	361	25	4	4	NUM
brj-22315	361	26	.	.	PUNCT
brj-22315	361	27	calibration	calibration	NOUN
brj-22315	361	28	transfer	transfer	NOUN
brj-22315	361	29	model	model	NOUN
brj-22315	361	30	prediction	prediction	NOUN
brj-22315	361	31	results	result	NOUN
brj-22315	361	32	of	of	ADP
brj-22315	361	33	timber	timber	NOUN
brj-22315	361	34	tensile	tensile	NOUN
brj-22315	361	35	strength	strength	NOUN
brj-22315	361	36	training	training	NOUN
brj-22315	361	37	set	set	NOUN
brj-22315	361	38	prediction	prediction	NOUN
brj-22315	361	39	set	set	VERB
brj-22315	361	40	rc	rc	PROPN
brj-22315	361	41	rmsec	rmsec	PROPN
brj-22315	362	1	rp	rp	PROPN
brj-22315	362	2	rmsep	rmsep	PROPN
brj-22315	362	3	sst	sst	PROPN
brj-22315	362	4	0.869	0.869	NUM
brj-22315	362	5	11.607	11.607	NUM
brj-22315	362	6	0.778	0.778	NUM
brj-22315	362	7	22.024	22.024	NUM
brj-22315	362	8	cca	cca	NOUN
brj-22315	362	9	0.872	0.872	NUM
brj-22315	362	10	11.985	11.985	NUM
brj-22315	362	11	0.795	0.795	NUM
brj-22315	362	12	25.847	25.847	NUM
brj-22315	362	13	efea	efea	PROPN
brj-22315	362	14	-	-	PUNCT
brj-22315	362	15	sst	sst	NOUN
brj-22315	362	16	0.964	0.964	NUM
brj-22315	362	17	2.792	2.792	NUM
brj-22315	362	18	0.843	0.843	NUM
brj-22315	362	19	15.178	15.178	NUM
brj-22315	362	20	efea	efea	PROPN
brj-22315	362	21	-	-	SYM
brj-22315	362	22	fa	fa	NOUN
brj-22315	362	23	0.939	0.939	NUM
brj-22315	362	24	4.752	4.752	NUM
brj-22315	362	25	0.912	0.912	NUM
brj-22315	362	26	10.653	10.653	NUM
brj-22315	362	27	conclusions	conclusion	NOUN
brj-22315	362	28	1	1	NUM
brj-22315	362	29	.	.	PUNCT
brj-22315	363	1	the	the	DET
brj-22315	363	2	current	current	ADJ
brj-22315	363	3	nirs	nirs	PROPN
brj-22315	363	4	calibrations	calibration	NOUN
brj-22315	363	5	model	model	NOUN
brj-22315	363	6	predicting	predict	VERB
brj-22315	363	7	flexural	flexural	ADJ
brj-22315	363	8	and	and	CCONJ
brj-22315	363	9	tensile	tensile	NOUN
brj-22315	363	10	strength	strength	NOUN
brj-22315	363	11	in	in	ADP
brj-22315	363	12	solid	solid	ADJ
brj-22315	363	13	wood	wood	NOUN
brj-22315	363	14	panels	panel	NOUN
brj-22315	363	15	was	be	AUX
brj-22315	363	16	successfully	successfully	ADV
brj-22315	363	17	transferred	transfer	VERB
brj-22315	363	18	using	use	VERB
brj-22315	363	19	all	all	DET
brj-22315	363	20	four	four	NUM
brj-22315	363	21	transfer	transfer	NOUN
brj-22315	363	22	methods	method	NOUN
brj-22315	363	23	(	(	PUNCT
brj-22315	363	24	efea	efea	PROPN
brj-22315	363	25	-	-	PUNCT
brj-22315	363	26	fa	fa	NOUN
brj-22315	363	27	,	,	PUNCT
brj-22315	363	28	efea	efea	PROPN
brj-22315	363	29	-	-	PUNCT
brj-22315	363	30	sst	sst	NOUN
brj-22315	363	31	,	,	PUNCT
brj-22315	363	32	cca	cca	PROPN
brj-22315	363	33	,	,	PUNCT
brj-22315	363	34	and	and	CCONJ
brj-22315	363	35	sst	sst	PROPN
brj-22315	363	36	)	)	PUNCT
brj-22315	363	37	.	.	PUNCT
brj-22315	364	1	the	the	DET
brj-22315	364	2	innovative	innovative	ADJ
brj-22315	364	3	method	method	NOUN
brj-22315	364	4	built	build	VERB
brj-22315	364	5	on	on	ADP
brj-22315	364	6	the	the	DET
brj-22315	364	7	pls	pls	PROPN
brj-22315	364	8	-	-	PUNCT
brj-22315	364	9	sem	sem	NOUN
brj-22315	364	10	framework	framework	NOUN
brj-22315	364	11	transfer	transfer	NOUN
brj-22315	364	12	demonstrated	demonstrate	VERB
brj-22315	364	13	the	the	DET
brj-22315	364	14	best	good	ADJ
brj-22315	364	15	calibration	calibration	NOUN
brj-22315	364	16	transfer	transfer	NOUN
brj-22315	364	17	performance	performance	NOUN
brj-22315	364	18	.	.	PUNCT
brj-22315	365	1	2	2	X
brj-22315	365	2	.	.	X
brj-22315	365	3	the	the	DET
brj-22315	365	4	best	good	ADJ
brj-22315	365	5	calibration	calibration	NOUN
brj-22315	365	6	transfer	transfer	NOUN
brj-22315	365	7	performance	performance	NOUN
brj-22315	365	8	was	be	AUX
brj-22315	365	9	found	find	VERB
brj-22315	365	10	when	when	SCONJ
brj-22315	365	11	the	the	DET
brj-22315	365	12	efea	efea	ADJ
brj-22315	365	13	-	-	PUNCT
brj-22315	365	14	fa	fa	NOUN
brj-22315	365	15	procedure	procedure	NOUN
brj-22315	365	16	was	be	AUX
brj-22315	365	17	applied	apply	VERB
brj-22315	365	18	predicting	predict	VERB
brj-22315	365	19	flexural	flexural	ADJ
brj-22315	365	20	strength	strength	NOUN
brj-22315	365	21	.	.	PUNCT
brj-22315	366	1	note	note	VERB
brj-22315	366	2	that	that	SCONJ
brj-22315	366	3	the	the	DET
brj-22315	366	4	rmsep	rmsep	ADJ
brj-22315	366	5	value	value	NOUN
brj-22315	366	6	after	after	SCONJ
brj-22315	366	7	efea	efea	PROPN
brj-22315	366	8	-	-	PUNCT
brj-22315	366	9	fa	fa	NOUN
brj-22315	366	10	standardization	standardization	NOUN
brj-22315	366	11	was	be	AUX
brj-22315	366	12	significantly	significantly	ADV
brj-22315	366	13	lower	low	ADJ
brj-22315	366	14	(	(	PUNCT
brj-22315	366	15	10.653	10.653	NUM
brj-22315	366	16	)	)	PUNCT
brj-22315	366	17	than	than	ADP
brj-22315	366	18	the	the	DET
brj-22315	366	19	error	error	NOUN
brj-22315	366	20	obtained	obtain	VERB
brj-22315	366	21	in	in	ADP
brj-22315	366	22	the	the	DET
brj-22315	366	23	original	original	ADJ
brj-22315	366	24	calibration	calibration	NOUN
brj-22315	366	25	(	(	PUNCT
brj-22315	366	26	rmsep=25.847	rmsep=25.847	NOUN
brj-22315	366	27	)	)	PUNCT
brj-22315	366	28	.	.	PUNCT
brj-22315	367	1	additionally	additionally	ADV
brj-22315	367	2	,	,	PUNCT
brj-22315	367	3	the	the	DET
brj-22315	367	4	r2	r2	PROPN
brj-22315	367	5	values	value	NOUN
brj-22315	367	6	increased	increase	VERB
brj-22315	367	7	from	from	ADP
brj-22315	367	8	0.795	0.795	NUM
brj-22315	367	9	to	to	ADP
brj-22315	367	10	0.912	0.912	NUM
brj-22315	367	11	.	.	PUNCT
brj-22315	368	1	3	3	X
brj-22315	368	2	.	.	X
brj-22315	368	3	in	in	ADP
brj-22315	368	4	the	the	DET
brj-22315	368	5	same	same	ADJ
brj-22315	368	6	way	way	NOUN
brj-22315	368	7	,	,	PUNCT
brj-22315	368	8	the	the	DET
brj-22315	368	9	application	application	NOUN
brj-22315	368	10	of	of	ADP
brj-22315	368	11	efea	efea	PROPN
brj-22315	368	12	-	-	PUNCT
brj-22315	368	13	sst	sst	NOUN
brj-22315	368	14	algorithm	algorithm	NOUN
brj-22315	368	15	allowed	allow	VERB
brj-22315	368	16	to	to	PART
brj-22315	368	17	obtain	obtain	VERB
brj-22315	368	18	the	the	DET
brj-22315	368	19	best	good	ADJ
brj-22315	368	20	prediction	prediction	NOUN
brj-22315	368	21	results	result	NOUN
brj-22315	368	22	for	for	ADP
brj-22315	368	23	the	the	DET
brj-22315	368	24	tensile	tensile	NOUN
brj-22315	368	25	strength	strength	NOUN
brj-22315	368	26	property	property	NOUN
brj-22315	368	27	.	.	PUNCT
brj-22315	369	1	the	the	DET
brj-22315	369	2	rmsep	rmsep	ADJ
brj-22315	369	3	value	value	NOUN
brj-22315	369	4	obtained	obtain	VERB
brj-22315	369	5	(	(	PUNCT
brj-22315	369	6	table	table	NOUN
brj-22315	369	7	3	3	NUM
brj-22315	369	8	)	)	PUNCT
brj-22315	369	9	indicated	indicate	VERB
brj-22315	369	10	that	that	SCONJ
brj-22315	369	11	the	the	DET
brj-22315	369	12	prediction	prediction	NOUN
brj-22315	369	13	of	of	ADP
brj-22315	369	14	tensile	tensile	NOUN
brj-22315	369	15	strength	strength	NOUN
brj-22315	369	16	was	be	AUX
brj-22315	369	17	greatly	greatly	ADV
brj-22315	369	18	improved	improve	VERB
brj-22315	369	19	using	use	VERB
brj-22315	369	20	efeasst	efeasst	NOUN
brj-22315	369	21	transferred	transfer	VERB
brj-22315	369	22	rather	rather	ADV
brj-22315	369	23	than	than	ADP
brj-22315	369	24	untransferred	untransferred	ADJ
brj-22315	369	25	models	model	NOUN
brj-22315	369	26	.	.	PUNCT
brj-22315	370	1	the	the	DET
brj-22315	370	2	prediction	prediction	NOUN
brj-22315	370	3	performed	perform	VERB
brj-22315	370	4	gave	give	VERB
brj-22315	370	5	a	a	DET
brj-22315	370	6	rmsep	rmsep	NOUN
brj-22315	370	7	of	of	ADP
brj-22315	370	8	11.309	11.309	NUM
brj-22315	370	9	,	,	PUNCT
brj-22315	370	10	and	and	CCONJ
brj-22315	370	11	a	a	DET
brj-22315	370	12	r2	r2	NOUN
brj-22315	370	13	of	of	ADP
brj-22315	370	14	0.865	0.865	NUM
brj-22315	370	15	.	.	PUNCT
brj-22315	371	1	acknowledgments	acknowledgment	NOUN
brj-22315	371	2	this	this	DET
brj-22315	371	3	research	research	NOUN
brj-22315	371	4	was	be	AUX
brj-22315	371	5	supported	support	VERB
brj-22315	371	6	of	of	ADP
brj-22315	371	7	the	the	DET
brj-22315	371	8	fundamental	fundamental	ADJ
brj-22315	371	9	research	research	NOUN
brj-22315	371	10	funds	fund	NOUN
brj-22315	371	11	for	for	ADP
brj-22315	371	12	the	the	DET
brj-22315	371	13	china	china	PROPN
brj-22315	371	14	state	state	PROPN
brj-22315	371	15	forestry	forestry	PROPN
brj-22315	371	16	administration	administration	PROPN
brj-22315	371	17	“	"	PUNCT
brj-22315	371	18	948	948	NUM
brj-22315	371	19	”	"	PUNCT
brj-22315	371	20	projects	project	NOUN
brj-22315	371	21	(	(	PUNCT
brj-22315	371	22	2015	2015	NUM
brj-22315	371	23	-	-	SYM
brj-22315	371	24	4	4	NUM
brj-22315	371	25	-	-	NUM
brj-22315	371	26	52	52	NUM
brj-22315	371	27	)	)	PUNCT
brj-22315	371	28	,	,	PUNCT
brj-22315	371	29	heilongjiang	heilongjiang	PROPN
brj-22315	371	30	natural	natural	PROPN
brj-22315	371	31	science	science	PROPN
brj-22315	371	32	foundation	foundation	NOUN
brj-22315	371	33	(	(	PUNCT
brj-22315	371	34	c2017005	c2017005	NOUN
brj-22315	371	35	)	)	PUNCT
brj-22315	371	36	.	.	PUNCT
brj-22315	372	1	references	reference	NOUN
brj-22315	372	2	cited	cite	VERB
brj-22315	372	3	chen	chen	PROPN
brj-22315	372	4	,	,	PUNCT
brj-22315	372	5	y.	y.	PROPN
brj-22315	372	6	,	,	PUNCT
brj-22315	372	7	wu	wu	PROPN
brj-22315	372	8	,	,	PUNCT
brj-22315	372	9	h.	h.	PROPN
brj-22315	372	10	l.	l.	PROPN
brj-22315	372	11	,	,	PUNCT
brj-22315	372	12	wang	wang	PROPN
brj-22315	372	13	,	,	PUNCT
brj-22315	372	14	t.	t.	PROPN
brj-22315	372	15	,	,	PUNCT
brj-22315	372	16	liu	liu	PROPN
brj-22315	372	17	,	,	PUNCT
brj-22315	372	18	b.	b.	PROPN
brj-22315	372	19	b.	b.	PROPN
brj-22315	372	20	,	,	PUNCT
brj-22315	372	21	ding	ding	PROPN
brj-22315	372	22	,	,	PUNCT
brj-22315	372	23	y.	y.	PROPN
brj-22315	372	24	j.	j.	PROPN
brj-22315	372	25	,	,	PUNCT
brj-22315	372	26	and	and	CCONJ
brj-22315	372	27	yu	yu	PROPN
brj-22315	372	28	,	,	PUNCT
brj-22315	372	29	r.	r.	PROPN
brj-22315	372	30	q.	q.	PROPN
brj-22315	372	31	(	(	PUNCT
brj-22315	372	32	2022	2022	NUM
brj-22315	372	33	)	)	PUNCT
brj-22315	372	34	.	.	PUNCT
brj-22315	373	1	“	"	PUNCT
brj-22315	373	2	piecewise	piecewise	VERB
brj-22315	373	3	direct	direct	ADJ
brj-22315	373	4	standardization	standardization	NOUN
brj-22315	373	5	assisted	assist	VERB
brj-22315	373	6	with	with	ADP
brj-22315	373	7	second	second	ADJ
brj-22315	373	8	-	-	PUNCT
brj-22315	373	9	order	order	NOUN
brj-22315	373	10	calibration	calibration	NOUN
brj-22315	373	11	methods	method	NOUN
brj-22315	373	12	to	to	PART
brj-22315	373	13	solve	solve	VERB
brj-22315	373	14	signal	signal	ADJ
brj-22315	373	15	instability	instability	NOUN
brj-22315	373	16	in	in	ADP
brj-22315	373	17	high	high	ADJ
brj-22315	373	18	-	-	PUNCT
brj-22315	373	19	performance	performance	NOUN
brj-22315	373	20	liquid	liquid	ADJ
brj-22315	373	21	chromatography	chromatography	NOUN
brj-22315	373	22	-	-	PUNCT
brj-22315	373	23	diode	diode	NOUN
brj-22315	373	24	array	array	NOUN
brj-22315	373	25	detection	detection	NOUN
brj-22315	373	26	systems	system	NOUN
brj-22315	373	27	,	,	PUNCT
brj-22315	373	28	”	"	PUNCT
brj-22315	373	29	journal	journal	NOUN
brj-22315	373	30	of	of	ADP
brj-22315	373	31	chromatography	chromatography	NOUN
brj-22315	373	32	a	a	DET
brj-22315	373	33	1667	1667	NUM
brj-22315	373	34	,	,	PUNCT
brj-22315	373	35	article	article	NOUN
brj-22315	373	36	462851	462851	NUM
brj-22315	373	37	.	.	PUNCT
brj-22315	374	1	doi	doi	NOUN
brj-22315	374	2	:	:	PUNCT
brj-22315	374	3	10.1016	10.1016	NUM
brj-22315	374	4	/	/	SYM
brj-22315	374	5	j.chroma.2022.462851	j.chroma.2022.462851	PROPN
brj-22315	374	6	peer	peer	NOUN
brj-22315	374	7	-	-	PUNCT
brj-22315	374	8	reviewed	review	VERB
brj-22315	374	9	article	article	NOUN
brj-22315	374	10	bioresources.com	bioresources.com	X
brj-22315	374	11	jiang	jiang	PROPN
brj-22315	374	12	et	et	PROPN
brj-22315	374	13	al	al	PROPN
brj-22315	374	14	.	.	PROPN
brj-22315	374	15	(	(	PUNCT
brj-22315	374	16	2023	2023	NUM
brj-22315	374	17	)	)	PUNCT
brj-22315	374	18	.	.	PUNCT
brj-22315	375	1	“	"	PUNCT
brj-22315	375	2	non	non	ADJ
brj-22315	375	3	-	-	ADJ
brj-22315	375	4	destructive	destructive	ADJ
brj-22315	375	5	wood	wood	NOUN
brj-22315	375	6	testing	testing	NOUN
brj-22315	375	7	,	,	PUNCT
brj-22315	375	8	”	"	PUNCT
brj-22315	375	9	bioresources	bioresource	NOUN
brj-22315	375	10	18(2	18(2	NUM
brj-22315	375	11	)	)	PUNCT
brj-22315	375	12	,	,	PUNCT
brj-22315	375	13	3620	3620	NUM
brj-22315	375	14	-	-	SYM
brj-22315	375	15	3641	3641	NUM
brj-22315	375	16	.	.	PUNCT
brj-22315	376	1	3639	3639	NUM
brj-22315	376	2	dash	dash	NOUN
brj-22315	376	3	,	,	PUNCT
brj-22315	376	4	g.	g.	NOUN
brj-22315	376	5	,	,	PUNCT
brj-22315	376	6	and	and	CCONJ
brj-22315	376	7	paul	paul	PROPN
brj-22315	376	8	,	,	PUNCT
brj-22315	376	9	j.	j.	PROPN
brj-22315	376	10	(	(	PUNCT
brj-22315	376	11	2021	2021	NUM
brj-22315	376	12	)	)	PUNCT
brj-22315	376	13	.	.	PUNCT
brj-22315	377	1	“	"	PUNCT
brj-22315	377	2	cb	cb	NOUN
brj-22315	377	3	-	-	PUNCT
brj-22315	377	4	sem	sem	PROPN
brj-22315	377	5	vs	vs	ADP
brj-22315	377	6	pls	pls	PROPN
brj-22315	377	7	-	-	PUNCT
brj-22315	377	8	sem	sem	NOUN
brj-22315	377	9	methods	method	NOUN
brj-22315	377	10	for	for	ADP
brj-22315	377	11	research	research	NOUN
brj-22315	377	12	in	in	ADP
brj-22315	377	13	social	social	ADJ
brj-22315	377	14	sciences	science	NOUN
brj-22315	377	15	and	and	CCONJ
brj-22315	377	16	technology	technology	NOUN
brj-22315	377	17	forecasting	forecasting	NOUN
brj-22315	377	18	,	,	PUNCT
brj-22315	377	19	”	"	PUNCT
brj-22315	377	20	technological	technological	ADJ
brj-22315	377	21	forecasting	forecasting	NOUN
brj-22315	377	22	and	and	CCONJ
brj-22315	377	23	social	social	ADJ
brj-22315	377	24	change	change	NOUN
brj-22315	377	25	173	173	NUM
brj-22315	377	26	,	,	PUNCT
brj-22315	377	27	article	article	NOUN
brj-22315	377	28	121092	121092	NUM
brj-22315	377	29	.	.	PUNCT
brj-22315	378	1	doi	doi	NOUN
brj-22315	378	2	:	:	PUNCT
brj-22315	378	3	10.1016	10.1016	NUM
brj-22315	378	4	/	/	SYM
brj-22315	378	5	j.techfore.2021.121092	j.techfore.2021.121092	PROPN
brj-22315	378	6	du	du	PROPN
brj-22315	378	7	,	,	PUNCT
brj-22315	378	8	w.	w.	PROPN
brj-22315	378	9	,	,	PUNCT
brj-22315	378	10	chen	chen	PROPN
brj-22315	378	11	,	,	PUNCT
brj-22315	378	12	z.	z.	PROPN
brj-22315	378	13	p.	p.	PROPN
brj-22315	378	14	,	,	PUNCT
brj-22315	378	15	zhong	zhong	PROPN
brj-22315	378	16	,	,	PUNCT
brj-22315	378	17	l.	l.	PROPN
brj-22315	378	18	j.	j.	PROPN
brj-22315	378	19	,	,	PUNCT
brj-22315	378	20	wang	wang	PROPN
brj-22315	378	21	,	,	PUNCT
brj-22315	378	22	s.	s.	PROPN
brj-22315	378	23	x.	x.	PROPN
brj-22315	378	24	,	,	PUNCT
brj-22315	378	25	yu	yu	PROPN
brj-22315	378	26	,	,	PUNCT
brj-22315	378	27	r.	r.	PROPN
brj-22315	378	28	q.	q.	PROPN
brj-22315	378	29	,	,	PUNCT
brj-22315	378	30	nordon	nordon	PROPN
brj-22315	378	31	,	,	PUNCT
brj-22315	378	32	a.	a.	PROPN
brj-22315	378	33	,	,	PUNCT
brj-22315	378	34	littlejohn	littlejohn	PROPN
brj-22315	378	35	,	,	PUNCT
brj-22315	378	36	d.	d.	PROPN
brj-22315	378	37	,	,	PUNCT
brj-22315	378	38	and	and	CCONJ
brj-22315	378	39	holden	holden	PROPN
brj-22315	378	40	,	,	PUNCT
brj-22315	378	41	m.	m.	NOUN
brj-22315	378	42	(	(	PUNCT
brj-22315	378	43	2011	2011	NUM
brj-22315	378	44	)	)	PUNCT
brj-22315	378	45	.	.	PUNCT
brj-22315	379	1	“	"	PUNCT
brj-22315	379	2	maintaining	maintain	VERB
brj-22315	379	3	the	the	DET
brj-22315	379	4	predictive	predictive	ADJ
brj-22315	379	5	abilities	ability	NOUN
brj-22315	379	6	of	of	ADP
brj-22315	379	7	multivariate	multivariate	NOUN
brj-22315	379	8	calibration	calibration	NOUN
brj-22315	379	9	models	model	NOUN
brj-22315	379	10	by	by	ADP
brj-22315	379	11	spectral	spectral	ADJ
brj-22315	379	12	space	space	NOUN
brj-22315	379	13	transformation	transformation	NOUN
brj-22315	379	14	,	,	PUNCT
brj-22315	379	15	”	"	PUNCT
brj-22315	379	16	analytica	analytica	PROPN
brj-22315	379	17	chimica	chimica	PROPN
brj-22315	379	18	acta	acta	PROPN
brj-22315	379	19	690(1	690(1	NUM
brj-22315	379	20	)	)	PUNCT
brj-22315	379	21	,	,	PUNCT
brj-22315	379	22	64	64	NUM
brj-22315	379	23	-	-	SYM
brj-22315	379	24	70	70	NUM
brj-22315	379	25	.	.	PUNCT
brj-22315	380	1	doi	doi	NOUN
brj-22315	380	2	:	:	PUNCT
brj-22315	380	3	10.1016	10.1016	NUM
brj-22315	380	4	/	/	SYM
brj-22315	380	5	j.aca.2011.02.014	j.aca.2011.02.014	PROPN
brj-22315	380	6	fan	fan	PROPN
brj-22315	380	7	,	,	PUNCT
brj-22315	380	8	w.	w.	PROPN
brj-22315	380	9	,	,	PUNCT
brj-22315	380	10	liang	liang	PROPN
brj-22315	380	11	,	,	PUNCT
brj-22315	380	12	y.	y.	PROPN
brj-22315	380	13	,	,	PUNCT
brj-22315	380	14	yuan	yuan	PROPN
brj-22315	380	15	,	,	PUNCT
brj-22315	380	16	d.	d.	PROPN
brj-22315	380	17	,	,	PUNCT
brj-22315	380	18	and	and	CCONJ
brj-22315	380	19	wang	wang	PROPN
brj-22315	380	20	,	,	PUNCT
brj-22315	380	21	j.	j.	PROPN
brj-22315	380	22	(	(	PUNCT
brj-22315	380	23	2008	2008	NUM
brj-22315	380	24	)	)	PUNCT
brj-22315	380	25	.	.	PUNCT
brj-22315	381	1	“	"	PUNCT
brj-22315	381	2	calibration	calibration	NOUN
brj-22315	381	3	model	model	NOUN
brj-22315	381	4	transfer	transfer	NOUN
brj-22315	381	5	for	for	ADP
brj-22315	381	6	nearinfrared	nearinfrared	ADJ
brj-22315	381	7	spectra	spectra	NOUN
brj-22315	381	8	based	base	VERB
brj-22315	381	9	on	on	ADP
brj-22315	381	10	canonical	canonical	ADJ
brj-22315	381	11	correlation	correlation	NOUN
brj-22315	381	12	analysis	analysis	NOUN
brj-22315	381	13	,	,	PUNCT
brj-22315	381	14	”	"	PUNCT
brj-22315	381	15	analytica	analytica	PROPN
brj-22315	381	16	chimica	chimica	PROPN
brj-22315	381	17	acta	acta	PROPN
brj-22315	381	18	623(1	623(1	NUM
brj-22315	381	19	)	)	PUNCT
brj-22315	381	20	,	,	PUNCT
brj-22315	381	21	22	22	NUM
brj-22315	381	22	-	-	SYM
brj-22315	381	23	29	29	NUM
brj-22315	381	24	.	.	PUNCT
brj-22315	382	1	doi	doi	NOUN
brj-22315	382	2	:	:	PUNCT
brj-22315	382	3	10.1016	10.1016	NUM
brj-22315	382	4	/	/	SYM
brj-22315	382	5	j.aca.2008.05.072	j.aca.2008.05.072	PROPN
brj-22315	382	6	fujimoto	fujimoto	PROPN
brj-22315	382	7	,	,	PUNCT
brj-22315	382	8	t.	t.	PROPN
brj-22315	382	9	,	,	PUNCT
brj-22315	382	10	kobori	kobori	PROPN
brj-22315	382	11	,	,	PUNCT
brj-22315	382	12	h.	h.	PROPN
brj-22315	382	13	,	,	PUNCT
brj-22315	382	14	and	and	CCONJ
brj-22315	382	15	tsuchikawa	tsuchikawa	PROPN
brj-22315	382	16	,	,	PUNCT
brj-22315	382	17	s.	s.	PROPN
brj-22315	382	18	(	(	PUNCT
brj-22315	382	19	2012	2012	NUM
brj-22315	382	20	)	)	PUNCT
brj-22315	382	21	.	.	PUNCT
brj-22315	383	1	“	"	PUNCT
brj-22315	383	2	prediction	prediction	NOUN
brj-22315	383	3	of	of	ADP
brj-22315	383	4	wood	wood	NOUN
brj-22315	383	5	density	density	NOUN
brj-22315	383	6	independently	independently	ADV
brj-22315	383	7	of	of	ADP
brj-22315	383	8	moisture	moisture	NOUN
brj-22315	383	9	conditions	condition	NOUN
brj-22315	383	10	using	use	VERB
brj-22315	383	11	near	near	ADP
brj-22315	383	12	infrared	infrared	ADJ
brj-22315	383	13	spectroscopy	spectroscopy	NOUN
brj-22315	383	14	,	,	PUNCT
brj-22315	383	15	”	"	PUNCT
brj-22315	383	16	journal	journal	NOUN
brj-22315	383	17	of	of	ADP
brj-22315	383	18	near	near	PROPN
brj-22315	383	19	infrared	infrared	ADJ
brj-22315	383	20	spectroscopy	spectroscopy	NOUN
brj-22315	383	21	20(3	20(3	NOUN
brj-22315	383	22	)	)	PUNCT
brj-22315	383	23	,	,	PUNCT
brj-22315	383	24	353	353	NUM
brj-22315	383	25	-	-	SYM
brj-22315	383	26	359	359	NUM
brj-22315	383	27	.	.	PUNCT
brj-22315	384	1	doi	doi	NOUN
brj-22315	384	2	:	:	PUNCT
brj-22315	384	3	10.1255	10.1255	NUM
brj-22315	384	4	/	/	SYM
brj-22315	384	5	jnirs.994	jnirs.994	ADJ
brj-22315	384	6	gb	gb	PROPN
brj-22315	384	7	/	/	SYM
brj-22315	384	8	t	t	NOUN
brj-22315	384	9	1928	1928	NUM
brj-22315	384	10	-	-	SYM
brj-22315	384	11	2009	2009	NUM
brj-22315	384	12	(	(	PUNCT
brj-22315	384	13	2009	2009	NUM
brj-22315	384	14	)	)	PUNCT
brj-22315	384	15	.	.	PUNCT
brj-22315	385	1	“	"	PUNCT
brj-22315	385	2	general	general	ADJ
brj-22315	385	3	requirements	requirement	NOUN
brj-22315	385	4	for	for	ADP
brj-22315	385	5	physical	physical	ADJ
brj-22315	385	6	and	and	CCONJ
brj-22315	385	7	mechanical	mechanical	ADJ
brj-22315	385	8	tests	test	NOUN
brj-22315	385	9	of	of	ADP
brj-22315	385	10	wood	wood	NOUN
brj-22315	385	11	,	,	PUNCT
brj-22315	385	12	”	"	PUNCT
brj-22315	385	13	the	the	DET
brj-22315	385	14	state	state	PROPN
brj-22315	385	15	forestry	forestry	PROPN
brj-22315	385	16	administration	administration	NOUN
brj-22315	385	17	of	of	ADP
brj-22315	385	18	the	the	DET
brj-22315	385	19	people	people	NOUN
brj-22315	385	20	's	's	PART
brj-22315	385	21	republic	republic	NOUN
brj-22315	385	22	of	of	ADP
brj-22315	385	23	china	china	PROPN
brj-22315	385	24	,	,	PUNCT
brj-22315	385	25	beijing	beijing	PROPN
brj-22315	385	26	,	,	PUNCT
brj-22315	385	27	china	china	PROPN
brj-22315	385	28	.	.	PUNCT
brj-22315	386	1	gb	gb	ADP
brj-22315	386	2	/	/	SYM
brj-22315	386	3	t	t	NOUN
brj-22315	386	4	1938.1	1938.1	NUM
brj-22315	386	5	-	-	SYM
brj-22315	386	6	2009	2009	NUM
brj-22315	386	7	(	(	PUNCT
brj-22315	386	8	2009	2009	NUM
brj-22315	386	9	)	)	PUNCT
brj-22315	386	10	.	.	PUNCT
brj-22315	387	1	“	"	PUNCT
brj-22315	387	2	method	method	NOUN
brj-22315	387	3	of	of	ADP
brj-22315	387	4	testing	testing	NOUN
brj-22315	387	5	in	in	ADP
brj-22315	387	6	tensile	tensile	NOUN
brj-22315	387	7	strength	strength	NOUN
brj-22315	387	8	parallel	parallel	ADJ
brj-22315	387	9	to	to	ADP
brj-22315	387	10	grain	grain	NOUN
brj-22315	387	11	of	of	ADP
brj-22315	387	12	wood	wood	NOUN
brj-22315	387	13	,	,	PUNCT
brj-22315	387	14	”	"	PUNCT
brj-22315	387	15	anhui	anhui	PROPN
brj-22315	387	16	agricultural	agricultural	PROPN
brj-22315	387	17	university	university	PROPN
brj-22315	387	18	,	,	PUNCT
brj-22315	387	19	anhui	anhui	PROPN
brj-22315	387	20	,	,	PUNCT
brj-22315	387	21	china	china	PROPN
brj-22315	387	22	.	.	PUNCT
brj-22315	388	1	gb	gb	PRON
brj-22315	388	2	1936.1	1936.1	NUM
brj-22315	388	3	-	-	SYM
brj-22315	388	4	2009	2009	NUM
brj-22315	388	5	(	(	PUNCT
brj-22315	388	6	2009	2009	NUM
brj-22315	388	7	)	)	PUNCT
brj-22315	388	8	.	.	PUNCT
brj-22315	389	1	“	"	PUNCT
brj-22315	389	2	method	method	NOUN
brj-22315	389	3	of	of	ADP
brj-22315	389	4	testing	testing	NOUN
brj-22315	389	5	in	in	ADP
brj-22315	389	6	bending	bend	VERB
brj-22315	389	7	strength	strength	NOUN
brj-22315	389	8	of	of	ADP
brj-22315	389	9	wood	wood	NOUN
brj-22315	389	10	,	,	PUNCT
brj-22315	389	11	”	"	PUNCT
brj-22315	389	12	chinese	chinese	PROPN
brj-22315	389	13	academy	academy	PROPN
brj-22315	389	14	of	of	ADP
brj-22315	389	15	forestry	forestry	PROPN
brj-22315	389	16	,	,	PUNCT
brj-22315	389	17	beijing	beijing	PROPN
brj-22315	389	18	,	,	PUNCT
brj-22315	389	19	china	china	PROPN
brj-22315	389	20	.	.	PUNCT
brj-22315	390	1	hair	hair	NOUN
brj-22315	390	2	,	,	PUNCT
brj-22315	390	3	j.	j.	PROPN
brj-22315	390	4	f.	f.	PROPN
brj-22315	390	5	,	,	PUNCT
brj-22315	390	6	howard	howard	PROPN
brj-22315	390	7	,	,	PUNCT
brj-22315	390	8	m.	m.	PROPN
brj-22315	390	9	c.	c.	PROPN
brj-22315	390	10	,	,	PUNCT
brj-22315	390	11	and	and	CCONJ
brj-22315	390	12	nitzl	nitzl	NOUN
brj-22315	390	13	,	,	PUNCT
brj-22315	390	14	c.	c.	PROPN
brj-22315	390	15	(	(	PUNCT
brj-22315	390	16	2020	2020	NUM
brj-22315	390	17	)	)	PUNCT
brj-22315	390	18	.	.	PUNCT
brj-22315	391	1	“	"	PUNCT
brj-22315	391	2	assessing	assess	VERB
brj-22315	391	3	measurement	measurement	NOUN
brj-22315	391	4	model	model	NOUN
brj-22315	391	5	quality	quality	NOUN
brj-22315	391	6	in	in	ADP
brj-22315	391	7	pls	pls	NOUN
brj-22315	391	8	-	-	PUNCT
brj-22315	391	9	sem	sem	NOUN
brj-22315	391	10	using	use	VERB
brj-22315	391	11	confirmatory	confirmatory	ADJ
brj-22315	391	12	composite	composite	ADJ
brj-22315	391	13	analysis	analysis	NOUN
brj-22315	391	14	,	,	PUNCT
brj-22315	391	15	”	"	PUNCT
brj-22315	391	16	journal	journal	NOUN
brj-22315	391	17	of	of	ADP
brj-22315	391	18	business	business	NOUN
brj-22315	391	19	research	research	PROPN
brj-22315	391	20	109	109	NUM
brj-22315	391	21	,	,	PUNCT
brj-22315	391	22	101	101	NUM
brj-22315	391	23	-	-	SYM
brj-22315	391	24	110	110	NUM
brj-22315	391	25	.	.	PUNCT
brj-22315	392	1	doi	doi	NOUN
brj-22315	392	2	:	:	PUNCT
brj-22315	392	3	10.1016	10.1016	NUM
brj-22315	392	4	/	/	SYM
brj-22315	392	5	j.jbusres.2019.11.069	j.jbusres.2019.11.069	PROPN
brj-22315	392	6	hair	hair	NOUN
brj-22315	392	7	,	,	PUNCT
brj-22315	392	8	j.	j.	PROPN
brj-22315	392	9	f.	f.	PROPN
brj-22315	392	10	,	,	PUNCT
brj-22315	392	11	hult	hult	PROPN
brj-22315	392	12	,	,	PUNCT
brj-22315	392	13	g.	g.	PROPN
brj-22315	392	14	t.	t.	PROPN
brj-22315	392	15	m.	m.	PROPN
brj-22315	392	16	,	,	PUNCT
brj-22315	392	17	ringle	ringle	PROPN
brj-22315	392	18	,	,	PUNCT
brj-22315	392	19	c.	c.	PROPN
brj-22315	392	20	m.	m.	NOUN
brj-22315	392	21	,	,	PUNCT
brj-22315	392	22	sarstedt	sarstedt	NOUN
brj-22315	392	23	,	,	PUNCT
brj-22315	392	24	m.	m.	NOUN
brj-22315	392	25	,	,	PUNCT
brj-22315	392	26	danks	danks	PROPN
brj-22315	392	27	,	,	PUNCT
brj-22315	392	28	n.	n.	PROPN
brj-22315	392	29	p.	p.	PROPN
brj-22315	392	30	,	,	PUNCT
brj-22315	392	31	and	and	CCONJ
brj-22315	392	32	ray	ray	PROPN
brj-22315	392	33	,	,	PUNCT
brj-22315	392	34	s.	s.	PROPN
brj-22315	392	35	(	(	PUNCT
brj-22315	392	36	2021	2021	NUM
brj-22315	392	37	)	)	PUNCT
brj-22315	392	38	.	.	PUNCT
brj-22315	393	1	partial	partial	ADJ
brj-22315	393	2	least	least	ADJ
brj-22315	393	3	squares	square	VERB
brj-22315	393	4	structural	structural	ADJ
brj-22315	393	5	equation	equation	NOUN
brj-22315	393	6	modeling	modeling	NOUN
brj-22315	393	7	(	(	PUNCT
brj-22315	393	8	pls	pls	INTJ
brj-22315	393	9	-	-	PUNCT
brj-22315	393	10	sem	sem	NOUN
brj-22315	393	11	)	)	PUNCT
brj-22315	393	12	using	use	VERB
brj-22315	393	13	r	r	NOUN
brj-22315	393	14	,	,	PUNCT
brj-22315	393	15	springer	springer	NOUN
brj-22315	393	16	,	,	PUNCT
brj-22315	393	17	berlin	berlin	PROPN
brj-22315	393	18	.	.	PUNCT
brj-22315	394	1	doi	doi	NOUN
brj-22315	394	2	:	:	PUNCT
brj-22315	394	3	10.1007/978	10.1007/978	NUM
brj-22315	394	4	-	-	SYM
brj-22315	394	5	3	3	NUM
brj-22315	394	6	-	-	PUNCT
brj-22315	394	7	030	030	NUM
brj-22315	394	8	-	-	PUNCT
brj-22315	394	9	80519	80519	NUM
brj-22315	394	10	-	-	SYM
brj-22315	394	11	7	7	NUM
brj-22315	394	12	henseler	henseler	NOUN
brj-22315	394	13	,	,	PUNCT
brj-22315	394	14	j.	j.	PROPN
brj-22315	394	15	,	,	PUNCT
brj-22315	394	16	dijkstra	dijkstra	PROPN
brj-22315	394	17	,	,	PUNCT
brj-22315	394	18	t.	t.	PROPN
brj-22315	394	19	k.	k.	PROPN
brj-22315	394	20	,	,	PUNCT
brj-22315	394	21	sarstedt	sarstedt	NOUN
brj-22315	394	22	,	,	PUNCT
brj-22315	394	23	m.	m.	NOUN
brj-22315	394	24	,	,	PUNCT
brj-22315	394	25	ringle	ringle	NOUN
brj-22315	394	26	,	,	PUNCT
brj-22315	394	27	c.	c.	PROPN
brj-22315	394	28	m.	m.	NOUN
brj-22315	394	29	,	,	PUNCT
brj-22315	394	30	diamantopoulos	diamantopoulos	PROPN
brj-22315	394	31	,	,	PUNCT
brj-22315	394	32	a.	a.	PROPN
brj-22315	394	33	,	,	PUNCT
brj-22315	394	34	straub	straub	PROPN
brj-22315	394	35	,	,	PUNCT
brj-22315	394	36	d.	d.	PROPN
brj-22315	394	37	w.	w.	PROPN
brj-22315	394	38	,	,	PUNCT
brj-22315	394	39	ketchen	ketchen	PROPN
brj-22315	394	40	,	,	PUNCT
brj-22315	394	41	d.	d.	PROPN
brj-22315	394	42	j.	j.	PROPN
brj-22315	394	43	,	,	PUNCT
brj-22315	394	44	hair	hair	NOUN
brj-22315	394	45	,	,	PUNCT
brj-22315	394	46	j.	j.	PROPN
brj-22315	394	47	f.	f.	PROPN
brj-22315	394	48	,	,	PUNCT
brj-22315	394	49	hult	hult	PROPN
brj-22315	394	50	,	,	PUNCT
brj-22315	394	51	g.	g.	PROPN
brj-22315	394	52	t.	t.	PROPN
brj-22315	394	53	m.	m.	NOUN
brj-22315	394	54	,	,	PUNCT
brj-22315	394	55	and	and	CCONJ
brj-22315	394	56	calantone	calantone	NOUN
brj-22315	394	57	,	,	PUNCT
brj-22315	394	58	r.	r.	PROPN
brj-22315	394	59	j.	j.	PROPN
brj-22315	394	60	(	(	PUNCT
brj-22315	394	61	2014	2014	NUM
brj-22315	394	62	)	)	PUNCT
brj-22315	394	63	.	.	PUNCT
brj-22315	395	1	“	"	PUNCT
brj-22315	395	2	common	common	ADJ
brj-22315	395	3	beliefs	belief	NOUN
brj-22315	395	4	and	and	CCONJ
brj-22315	395	5	reality	reality	NOUN
brj-22315	395	6	about	about	ADP
brj-22315	395	7	pls	pls	NOUN
brj-22315	395	8	:	:	PUNCT
brj-22315	395	9	comments	comment	NOUN
brj-22315	395	10	on	on	ADP
brj-22315	395	11	rönkkö	rönkkö	ADJ
brj-22315	395	12	and	and	CCONJ
brj-22315	395	13	evermann	evermann	PROPN
brj-22315	395	14	(	(	PUNCT
brj-22315	395	15	2013	2013	NUM
brj-22315	395	16	)	)	PUNCT
brj-22315	395	17	,	,	PUNCT
brj-22315	395	18	”	"	PUNCT
brj-22315	395	19	organizational	organizational	ADJ
brj-22315	395	20	research	research	NOUN
brj-22315	395	21	methods	method	NOUN
brj-22315	395	22	17(2	17(2	NUM
brj-22315	395	23	)	)	PUNCT
brj-22315	395	24	,	,	PUNCT
brj-22315	395	25	182	182	NUM
brj-22315	395	26	-	-	SYM
brj-22315	395	27	209	209	NUM
brj-22315	395	28	.	.	PUNCT
brj-22315	396	1	doi	doi	NOUN
brj-22315	396	2	:	:	PUNCT
brj-22315	396	3	10.1177/1094428114526928	10.1177/1094428114526928	NUM
brj-22315	396	4	horvath	horvath	PROPN
brj-22315	396	5	,	,	PUNCT
brj-22315	396	6	l.	l.	PROPN
brj-22315	396	7	,	,	PUNCT
brj-22315	396	8	peszlen	peszlen	PROPN
brj-22315	396	9	,	,	PUNCT
brj-22315	396	10	i.	i.	PROPN
brj-22315	396	11	,	,	PUNCT
brj-22315	396	12	peralta	peralta	PROPN
brj-22315	396	13	,	,	PUNCT
brj-22315	396	14	p.	p.	PROPN
brj-22315	396	15	,	,	PUNCT
brj-22315	396	16	and	and	CCONJ
brj-22315	396	17	kelley	kelley	PROPN
brj-22315	396	18	,	,	PUNCT
brj-22315	396	19	s.	s.	PROPN
brj-22315	396	20	(	(	PUNCT
brj-22315	396	21	2011	2011	NUM
brj-22315	396	22	)	)	PUNCT
brj-22315	396	23	.	.	PUNCT
brj-22315	397	1	“	"	PUNCT
brj-22315	397	2	use	use	NOUN
brj-22315	397	3	of	of	ADP
brj-22315	397	4	transmittance	transmittance	NOUN
brj-22315	397	5	nearinfrared	nearinfrare	VERB
brj-22315	397	6	spectroscopy	spectroscopy	NOUN
brj-22315	397	7	to	to	PART
brj-22315	397	8	predict	predict	VERB
brj-22315	397	9	the	the	DET
brj-22315	397	10	mechanical	mechanical	ADJ
brj-22315	397	11	properties	property	NOUN
brj-22315	397	12	of	of	ADP
brj-22315	397	13	1	1	NUM
brj-22315	397	14	-	-	PUNCT
brj-22315	397	15	and	and	CCONJ
brj-22315	397	16	2	2	NUM
brj-22315	397	17	-	-	PUNCT
brj-22315	397	18	year	year	NOUN
brj-22315	397	19	-	-	PUNCT
brj-22315	397	20	old	old	ADJ
brj-22315	397	21	transgenic	transgenic	NOUN
brj-22315	397	22	aspen	aspen	NOUN
brj-22315	397	23	,	,	PUNCT
brj-22315	397	24	”	"	PUNCT
brj-22315	397	25	wood	wood	NOUN
brj-22315	397	26	science	science	NOUN
brj-22315	397	27	and	and	CCONJ
brj-22315	397	28	technology	technology	NOUN
brj-22315	397	29	45(2	45(2	NOUN
brj-22315	397	30	)	)	PUNCT
brj-22315	397	31	,	,	PUNCT
brj-22315	397	32	303	303	NUM
brj-22315	397	33	-	-	SYM
brj-22315	397	34	314	314	NUM
brj-22315	397	35	.	.	PUNCT
brj-22315	398	1	doi	doi	NOUN
brj-22315	398	2	:	:	PUNCT
brj-22315	398	3	10.1007	10.1007	NUM
brj-22315	398	4	/	/	SYM
brj-22315	398	5	s00226	s00226	PROPN
brj-22315	398	6	-	-	PUNCT
brj-22315	398	7	010	010	NUM
brj-22315	398	8	-	-	PUNCT
brj-22315	398	9	0330	0330	NUM
brj-22315	398	10	-	-	PUNCT
brj-22315	398	11	x	x	SYM
brj-22315	398	12	jonckere	jonckere	ADV
brj-22315	398	13	,	,	PUNCT
brj-22315	398	14	j.	j.	PROPN
brj-22315	398	15	d.	d.	PROPN
brj-22315	398	16	,	,	PUNCT
brj-22315	398	17	and	and	CCONJ
brj-22315	398	18	rosseel	rosseel	NOUN
brj-22315	398	19	,	,	PUNCT
brj-22315	398	20	y.	y.	NOUN
brj-22315	398	21	(	(	PUNCT
brj-22315	398	22	2022	2022	NUM
brj-22315	398	23	)	)	PUNCT
brj-22315	398	24	.	.	PUNCT
brj-22315	399	1	“	"	PUNCT
brj-22315	399	2	using	use	VERB
brj-22315	399	3	bounded	bounded	ADJ
brj-22315	399	4	estimation	estimation	NOUN
brj-22315	399	5	to	to	PART
brj-22315	399	6	avoid	avoid	VERB
brj-22315	399	7	nonconvergence	nonconvergence	NOUN
brj-22315	399	8	in	in	ADP
brj-22315	399	9	small	small	ADJ
brj-22315	399	10	sample	sample	NOUN
brj-22315	399	11	structural	structural	ADJ
brj-22315	399	12	equation	equation	NOUN
brj-22315	399	13	modeling	modeling	NOUN
brj-22315	399	14	,	,	PUNCT
brj-22315	399	15	”	"	PUNCT
brj-22315	399	16	structural	structural	ADJ
brj-22315	399	17	equation	equation	NOUN
brj-22315	399	18	modeling	modeling	NOUN
brj-22315	399	19	:	:	PUNCT
brj-22315	399	20	a	a	DET
brj-22315	399	21	multidisciplinary	multidisciplinary	ADJ
brj-22315	399	22	journal	journal	NOUN
brj-22315	399	23	29(3	29(3	NUM
brj-22315	399	24	)	)	PUNCT
brj-22315	399	25	,	,	PUNCT
brj-22315	399	26	412	412	NUM
brj-22315	399	27	-	-	SYM
brj-22315	399	28	427	427	NUM
brj-22315	399	29	.	.	PUNCT
brj-22315	400	1	doi	doi	NOUN
brj-22315	400	2	:	:	PUNCT
brj-22315	400	3	10.1080/10705511.2021.1982716	10.1080/10705511.2021.1982716	NUM
brj-22315	400	4	li	li	PROPN
brj-22315	400	5	,	,	PUNCT
brj-22315	400	6	l.	l.	PROPN
brj-22315	400	7	,	,	PUNCT
brj-22315	400	8	huang	huang	PROPN
brj-22315	400	9	,	,	PUNCT
brj-22315	400	10	w.	w.	PROPN
brj-22315	400	11	,	,	PUNCT
brj-22315	400	12	wang	wang	PROPN
brj-22315	400	13	,	,	PUNCT
brj-22315	400	14	z.	z.	PROPN
brj-22315	400	15	,	,	PUNCT
brj-22315	400	16	liu	liu	PROPN
brj-22315	400	17	,	,	PUNCT
brj-22315	400	18	s.	s.	PROPN
brj-22315	400	19	,	,	PUNCT
brj-22315	400	20	he	he	PRON
brj-22315	400	21	,	,	PUNCT
brj-22315	400	22	x.	x.	NOUN
brj-22315	400	23	,	,	PUNCT
brj-22315	400	24	and	and	CCONJ
brj-22315	400	25	fan	fan	PROPN
brj-22315	400	26	,	,	PUNCT
brj-22315	400	27	s.	s.	PROPN
brj-22315	400	28	(	(	PUNCT
brj-22315	400	29	2022	2022	NUM
brj-22315	400	30	)	)	PUNCT
brj-22315	400	31	.	.	PUNCT
brj-22315	401	1	“	"	PUNCT
brj-22315	401	2	calibration	calibration	NOUN
brj-22315	401	3	transfer	transfer	NOUN
brj-22315	401	4	between	between	ADP
brj-22315	401	5	developed	develop	VERB
brj-22315	401	6	portable	portable	ADJ
brj-22315	401	7	vis	vis	X
brj-22315	401	8	/	/	SYM
brj-22315	401	9	nir	nir	ADJ
brj-22315	401	10	devices	device	NOUN
brj-22315	401	11	for	for	ADP
brj-22315	401	12	detection	detection	NOUN
brj-22315	401	13	of	of	ADP
brj-22315	401	14	soluble	soluble	ADJ
brj-22315	401	15	solids	solid	NOUN
brj-22315	401	16	contents	content	NOUN
brj-22315	401	17	in	in	ADP
brj-22315	401	18	apple	apple	NOUN
brj-22315	401	19	,	,	PUNCT
brj-22315	401	20	”	"	PUNCT
brj-22315	401	21	postharvest	postharvest	NOUN
brj-22315	401	22	biology	biology	NOUN
brj-22315	401	23	and	and	CCONJ
brj-22315	401	24	technology	technology	NOUN
brj-22315	401	25	183	183	NUM
brj-22315	401	26	,	,	PUNCT
brj-22315	401	27	article	article	NOUN
brj-22315	401	28	111720	111720	NUM
brj-22315	401	29	.	.	PUNCT
brj-22315	402	1	doi	doi	NOUN
brj-22315	402	2	:	:	PUNCT
brj-22315	402	3	10.1016	10.1016	NUM
brj-22315	402	4	/	/	SYM
brj-22315	402	5	j.postharvbio.2021.111720	j.postharvbio.2021.111720	PROPN
brj-22315	402	6	li	li	PROPN
brj-22315	402	7	,	,	PUNCT
brj-22315	402	8	x.	x.	PROPN
brj-22315	402	9	,	,	PUNCT
brj-22315	402	10	li	li	PROPN
brj-22315	402	11	,	,	PUNCT
brj-22315	402	12	z.	z.	PROPN
brj-22315	402	13	,	,	PUNCT
brj-22315	402	14	yang	yang	PROPN
brj-22315	402	15	,	,	PUNCT
brj-22315	402	16	x.	x.	PROPN
brj-22315	402	17	,	,	PUNCT
brj-22315	402	18	and	and	CCONJ
brj-22315	402	19	he	he	PRON
brj-22315	402	20	,	,	PUNCT
brj-22315	402	21	y.	y.	PROPN
brj-22315	402	22	(	(	PUNCT
brj-22315	402	23	2021	2021	NUM
brj-22315	402	24	)	)	PUNCT
brj-22315	402	25	.	.	PUNCT
brj-22315	403	1	“	"	PUNCT
brj-22315	403	2	boosting	boost	VERB
brj-22315	403	3	the	the	DET
brj-22315	403	4	generalization	generalization	NOUN
brj-22315	403	5	ability	ability	NOUN
brj-22315	403	6	of	of	ADP
brj-22315	403	7	visnir	visnir	NOUN
brj-22315	403	8	-	-	PUNCT
brj-22315	403	9	spectroscopy	spectroscopy	NOUN
brj-22315	403	10	-	-	PUNCT
brj-22315	403	11	based	base	VERB
brj-22315	403	12	regression	regression	NOUN
brj-22315	403	13	models	model	NOUN
brj-22315	403	14	through	through	ADP
brj-22315	403	15	dimension	dimension	NOUN
brj-22315	403	16	reduction	reduction	NOUN
brj-22315	403	17	and	and	CCONJ
brj-22315	403	18	transfer	transfer	NOUN
brj-22315	403	19	learning	learning	NOUN
brj-22315	403	20	,	,	PUNCT
brj-22315	403	21	”	"	PUNCT
brj-22315	403	22	computers	computer	NOUN
brj-22315	403	23	and	and	CCONJ
brj-22315	403	24	electronics	electronic	NOUN
brj-22315	403	25	in	in	ADP
brj-22315	403	26	agriculture	agriculture	NOUN
brj-22315	403	27	186	186	NUM
brj-22315	403	28	,	,	PUNCT
brj-22315	403	29	article	article	NOUN
brj-22315	403	30	106157	106157	NUM
brj-22315	403	31	.	.	PUNCT
brj-22315	404	1	doi	doi	NOUN
brj-22315	404	2	:	:	PUNCT
brj-22315	404	3	10.1016	10.1016	NUM
brj-22315	404	4	/	/	SYM
brj-22315	404	5	j.compag.2021.106157	j.compag.2021.106157	PROPN
brj-22315	404	6	lima	lima	PROPN
brj-22315	404	7	,	,	PUNCT
brj-22315	404	8	m.	m.	PROPN
brj-22315	404	9	d.	d.	PROPN
brj-22315	404	10	r.	r.	PROPN
brj-22315	404	11	,	,	PUNCT
brj-22315	404	12	guedes	guedes	PROPN
brj-22315	404	13	ramalho	ramalho	PROPN
brj-22315	404	14	,	,	PUNCT
brj-22315	404	15	f.	f.	PROPN
brj-22315	404	16	m.	m.	PROPN
brj-22315	404	17	,	,	PUNCT
brj-22315	404	18	trugilho	trugilho	NOUN
brj-22315	404	19	,	,	PUNCT
brj-22315	404	20	p.	p.	PROPN
brj-22315	404	21	f.	f.	PROPN
brj-22315	404	22	,	,	PUNCT
brj-22315	404	23	bufalino	bufalino	PROPN
brj-22315	404	24	,	,	PUNCT
brj-22315	404	25	l.	l.	PROPN
brj-22315	404	26	,	,	PUNCT
brj-22315	404	27	francisco	francisco	PROPN
brj-22315	404	28	dias	dias	PROPN
brj-22315	404	29	júnior	júnior	PROPN
brj-22315	404	30	,	,	PUNCT
brj-22315	404	31	a.	a.	NOUN
brj-22315	404	32	,	,	PUNCT
brj-22315	404	33	de	de	PROPN
brj-22315	404	34	paula	paula	PROPN
brj-22315	404	35	protásio	protásio	PROPN
brj-22315	404	36	,	,	PUNCT
brj-22315	404	37	t.	t.	PROPN
brj-22315	404	38	,	,	PUNCT
brj-22315	404	39	and	and	CCONJ
brj-22315	404	40	hein	hein	PROPN
brj-22315	404	41	,	,	PUNCT
brj-22315	405	1	p.	p.	PROPN
brj-22315	405	2	r.	r.	PROPN
brj-22315	405	3	g.	g.	PROPN
brj-22315	405	4	(	(	PUNCT
brj-22315	405	5	2022	2022	NUM
brj-22315	405	6	)	)	PUNCT
brj-22315	405	7	.	.	PUNCT
brj-22315	406	1	“	"	PUNCT
brj-22315	406	2	classifying	classify	VERB
brj-22315	406	3	waste	waste	NOUN
brj-22315	406	4	wood	wood	NOUN
brj-22315	406	5	peer	peer	NOUN
brj-22315	406	6	-	-	PUNCT
brj-22315	406	7	reviewed	review	VERB
brj-22315	406	8	article	article	NOUN
brj-22315	406	9	bioresources.com	bioresources.com	X
brj-22315	406	10	jiang	jiang	PROPN
brj-22315	406	11	et	et	PROPN
brj-22315	406	12	al	al	PROPN
brj-22315	406	13	.	.	PROPN
brj-22315	406	14	(	(	PUNCT
brj-22315	406	15	2023	2023	NUM
brj-22315	406	16	)	)	PUNCT
brj-22315	406	17	.	.	PUNCT
brj-22315	407	1	“	"	PUNCT
brj-22315	407	2	non	non	ADJ
brj-22315	407	3	-	-	ADJ
brj-22315	407	4	destructive	destructive	ADJ
brj-22315	407	5	wood	wood	NOUN
brj-22315	407	6	testing	testing	NOUN
brj-22315	407	7	,	,	PUNCT
brj-22315	407	8	”	"	PUNCT
brj-22315	407	9	bioresources	bioresource	NOUN
brj-22315	407	10	18(2	18(2	NUM
brj-22315	407	11	)	)	PUNCT
brj-22315	407	12	,	,	PUNCT
brj-22315	407	13	3620	3620	NUM
brj-22315	407	14	-	-	SYM
brj-22315	407	15	3641	3641	NUM
brj-22315	407	16	.	.	PUNCT
brj-22315	408	1	3640	3640	NUM
brj-22315	408	2	from	from	ADP
brj-22315	408	3	amazonian	amazonian	ADJ
brj-22315	408	4	species	specie	NOUN
brj-22315	408	5	by	by	ADP
brj-22315	408	6	near	near	ADV
brj-22315	408	7	-	-	PUNCT
brj-22315	408	8	infrared	infrared	ADJ
brj-22315	408	9	spectroscopy	spectroscopy	NOUN
brj-22315	408	10	(	(	PUNCT
brj-22315	408	11	nirs	nir	NOUN
brj-22315	408	12	)	)	PUNCT
brj-22315	408	13	to	to	PART
brj-22315	408	14	improve	improve	VERB
brj-22315	408	15	charcoal	charcoal	NOUN
brj-22315	408	16	production	production	NOUN
brj-22315	408	17	,	,	PUNCT
brj-22315	408	18	”	"	PUNCT
brj-22315	408	19	renewable	renewable	ADJ
brj-22315	408	20	energy	energy	NOUN
brj-22315	408	21	193	193	NUM
brj-22315	408	22	,	,	PUNCT
brj-22315	408	23	584	584	NUM
brj-22315	408	24	-	-	SYM
brj-22315	408	25	594	594	NUM
brj-22315	408	26	.	.	PUNCT
brj-22315	409	1	doi	doi	NOUN
brj-22315	409	2	:	:	PUNCT
brj-22315	409	3	10.1016	10.1016	NUM
brj-22315	409	4	/	/	SYM
brj-22315	409	5	j.renene.2022.05.048	j.renene.2022.05.048	PROPN
brj-22315	409	6	mendoza	mendoza	PROPN
brj-22315	409	7	,	,	PUNCT
brj-22315	409	8	f.	f.	PROPN
brj-22315	409	9	a.	a.	PROPN
brj-22315	409	10	,	,	PUNCT
brj-22315	409	11	cichy	cichy	PROPN
brj-22315	409	12	,	,	PUNCT
brj-22315	409	13	k.	k.	PROPN
brj-22315	409	14	a.	a.	PROPN
brj-22315	409	15	,	,	PUNCT
brj-22315	409	16	sprague	sprague	PROPN
brj-22315	409	17	,	,	PUNCT
brj-22315	409	18	c.	c.	PROPN
brj-22315	409	19	,	,	PUNCT
brj-22315	409	20	goffnett	goffnett	PROPN
brj-22315	409	21	,	,	PUNCT
brj-22315	409	22	a.	a.	PROPN
brj-22315	409	23	,	,	PUNCT
brj-22315	409	24	lu	lu	PROPN
brj-22315	409	25	,	,	PUNCT
brj-22315	409	26	r.	r.	PROPN
brj-22315	409	27	,	,	PUNCT
brj-22315	409	28	and	and	CCONJ
brj-22315	409	29	kelly	kelly	PROPN
brj-22315	409	30	,	,	PUNCT
brj-22315	409	31	j.	j.	PROPN
brj-22315	409	32	d.	d.	PROPN
brj-22315	409	33	(	(	PUNCT
brj-22315	409	34	2018	2018	NUM
brj-22315	409	35	)	)	PUNCT
brj-22315	409	36	.	.	PUNCT
brj-22315	410	1	“	"	PUNCT
brj-22315	410	2	prediction	prediction	NOUN
brj-22315	410	3	of	of	ADP
brj-22315	410	4	canned	can	VERB
brj-22315	410	5	black	black	ADJ
brj-22315	410	6	bean	bean	NOUN
brj-22315	410	7	texture	texture	NOUN
brj-22315	410	8	(	(	PUNCT
brj-22315	410	9	phaseolus	phaseolus	X
brj-22315	410	10	vulgaris	vulgaris	X
brj-22315	410	11	l.	l.	PROPN
brj-22315	410	12	)	)	PUNCT
brj-22315	410	13	from	from	ADP
brj-22315	410	14	intact	intact	ADJ
brj-22315	410	15	dry	dry	ADJ
brj-22315	410	16	seeds	seed	NOUN
brj-22315	410	17	using	use	VERB
brj-22315	410	18	visible	visible	ADJ
brj-22315	410	19	/	/	SYM
brj-22315	410	20	near	near	ADV
brj-22315	410	21	infrared	infrared	ADJ
brj-22315	410	22	spectroscopy	spectroscopy	NOUN
brj-22315	410	23	and	and	CCONJ
brj-22315	410	24	hyperspectral	hyperspectral	ADJ
brj-22315	410	25	imaging	imaging	NOUN
brj-22315	410	26	data	datum	NOUN
brj-22315	410	27	,	,	PUNCT
brj-22315	410	28	”	"	PUNCT
brj-22315	410	29	journal	journal	NOUN
brj-22315	410	30	of	of	ADP
brj-22315	410	31	the	the	DET
brj-22315	410	32	science	science	NOUN
brj-22315	410	33	of	of	ADP
brj-22315	410	34	food	food	NOUN
brj-22315	410	35	and	and	CCONJ
brj-22315	410	36	agriculture	agriculture	NOUN
brj-22315	410	37	98	98	NUM
brj-22315	410	38	(	(	PUNCT
brj-22315	410	39	1	1	NUM
brj-22315	410	40	)	)	PUNCT
brj-22315	410	41	,	,	PUNCT
brj-22315	410	42	283	283	NUM
brj-22315	410	43	-	-	SYM
brj-22315	410	44	290	290	NUM
brj-22315	410	45	.	.	PUNCT
brj-22315	411	1	doi	doi	NOUN
brj-22315	411	2	:	:	PUNCT
brj-22315	411	3	10.1002	10.1002	NUM
brj-22315	411	4	/	/	SYM
brj-22315	411	5	jsfa.8469	jsfa.8469	X
brj-22315	411	6	nakawajana	nakawajana	ADJ
brj-22315	411	7	,	,	PUNCT
brj-22315	411	8	n.	n.	NOUN
brj-22315	411	9	,	,	PUNCT
brj-22315	411	10	lerdwattanakitti	lerdwattanakitti	PROPN
brj-22315	411	11	,	,	PUNCT
brj-22315	411	12	p.	p.	PROPN
brj-22315	411	13	,	,	PUNCT
brj-22315	411	14	saechua	saechua	PROPN
brj-22315	411	15	,	,	PUNCT
brj-22315	411	16	w.	w.	PROPN
brj-22315	411	17	,	,	PUNCT
brj-22315	411	18	posom	posom	PROPN
brj-22315	411	19	,	,	PUNCT
brj-22315	411	20	j.	j.	PROPN
brj-22315	411	21	,	,	PUNCT
brj-22315	411	22	khwantri	khwantri	PROPN
brj-22315	411	23	,	,	PUNCT
brj-22315	411	24	s.	s.	PROPN
brj-22315	411	25	,	,	PUNCT
brj-22315	411	26	and	and	CCONJ
brj-22315	411	27	wongpichet	wongpichet	NOUN
brj-22315	411	28	,	,	PUNCT
brj-22315	411	29	s.	s.	PROPN
brj-22315	411	30	(	(	PUNCT
brj-22315	411	31	2021	2021	NUM
brj-22315	411	32	)	)	PUNCT
brj-22315	411	33	.	.	PUNCT
brj-22315	412	1	“	"	PUNCT
brj-22315	412	2	a	a	DET
brj-22315	412	3	low	low	ADJ
brj-22315	412	4	-	-	PUNCT
brj-22315	412	5	cost	cost	NOUN
brj-22315	412	6	system	system	NOUN
brj-22315	412	7	for	for	ADP
brj-22315	412	8	moisture	moisture	NOUN
brj-22315	412	9	content	content	NOUN
brj-22315	412	10	detection	detection	NOUN
brj-22315	412	11	of	of	ADP
brj-22315	412	12	bagasse	bagasse	NOUN
brj-22315	412	13	upon	upon	SCONJ
brj-22315	412	14	a	a	DET
brj-22315	412	15	conveyor	conveyor	NOUN
brj-22315	412	16	belt	belt	NOUN
brj-22315	412	17	with	with	ADP
brj-22315	412	18	multispectral	multispectral	ADJ
brj-22315	412	19	image	image	NOUN
brj-22315	412	20	and	and	CCONJ
brj-22315	412	21	various	various	ADJ
brj-22315	412	22	machine	machine	NOUN
brj-22315	412	23	learning	learning	NOUN
brj-22315	412	24	methods	method	NOUN
brj-22315	412	25	,	,	PUNCT
brj-22315	412	26	”	"	PUNCT
brj-22315	412	27	processes	process	NOUN
brj-22315	412	28	9(5	9(5	NUM
brj-22315	412	29	)	)	PUNCT
brj-22315	412	30	.	.	PUNCT
brj-22315	413	1	doi	doi	NOUN
brj-22315	413	2	:	:	PUNCT
brj-22315	413	3	10.3390	10.3390	NUM
brj-22315	413	4	/	/	SYM
brj-22315	413	5	pr9050777	pr9050777	PROPN
brj-22315	413	6	qiao	qiao	PROPN
brj-22315	413	7	,	,	PUNCT
brj-22315	413	8	l.	l.	PROPN
brj-22315	413	9	,	,	PUNCT
brj-22315	413	10	mu	mu	PROPN
brj-22315	413	11	,	,	PUNCT
brj-22315	413	12	y.	y.	PROPN
brj-22315	413	13	,	,	PUNCT
brj-22315	413	14	lu	lu	PROPN
brj-22315	413	15	,	,	PUNCT
brj-22315	413	16	b.	b.	PROPN
brj-22315	413	17	,	,	PUNCT
brj-22315	413	18	and	and	CCONJ
brj-22315	413	19	tang	tang	PROPN
brj-22315	413	20	,	,	PUNCT
brj-22315	413	21	x.	x.	NOUN
brj-22315	413	22	(	(	PUNCT
brj-22315	413	23	2021	2021	NUM
brj-22315	413	24	)	)	PUNCT
brj-22315	413	25	.	.	PUNCT
brj-22315	414	1	“	"	PUNCT
brj-22315	414	2	calibration	calibration	NOUN
brj-22315	414	3	maintenance	maintenance	NOUN
brj-22315	414	4	application	application	NOUN
brj-22315	414	5	of	of	ADP
brj-22315	414	6	near	near	ADV
brj-22315	414	7	-	-	PUNCT
brj-22315	414	8	infrared	infrared	ADJ
brj-22315	414	9	spectrometric	spectrometric	ADJ
brj-22315	414	10	model	model	NOUN
brj-22315	414	11	in	in	ADP
brj-22315	414	12	food	food	NOUN
brj-22315	414	13	analysis	analysis	NOUN
brj-22315	414	14	,	,	PUNCT
brj-22315	414	15	”	"	PUNCT
brj-22315	414	16	food	food	NOUN
brj-22315	414	17	reviews	review	NOUN
brj-22315	414	18	international	international	ADJ
brj-22315	414	19	2021	2021	NUM
brj-22315	414	20	,	,	PUNCT
brj-22315	414	21	1	1	NUM
brj-22315	414	22	-	-	SYM
brj-22315	414	23	17	17	NUM
brj-22315	414	24	.	.	PUNCT
brj-22315	415	1	doi	doi	NOUN
brj-22315	415	2	:	:	PUNCT
brj-22315	415	3	10.1080/87559129.2021.1935999	10.1080/87559129.2021.1935999	NUM
brj-22315	415	4	.	.	PUNCT
brj-22315	416	1	rehman	rehman	NOUN
brj-22315	416	2	,	,	PUNCT
brj-22315	416	3	t.	t.	PROPN
brj-22315	416	4	u.	u.	PROPN
brj-22315	416	5	,	,	PUNCT
brj-22315	416	6	zhang	zhang	PROPN
brj-22315	416	7	,	,	PUNCT
brj-22315	416	8	l.	l.	PROPN
brj-22315	416	9	,	,	PUNCT
brj-22315	416	10	ma	ma	PROPN
brj-22315	416	11	,	,	PUNCT
brj-22315	416	12	d.	d.	PROPN
brj-22315	416	13	,	,	PUNCT
brj-22315	416	14	and	and	CCONJ
brj-22315	416	15	jin	jin	NOUN
brj-22315	416	16	,	,	PUNCT
brj-22315	416	17	j.	j.	PROPN
brj-22315	416	18	(	(	PUNCT
brj-22315	416	19	2022	2022	NUM
brj-22315	416	20	)	)	PUNCT
brj-22315	416	21	.	.	PUNCT
brj-22315	417	1	“	"	PUNCT
brj-22315	417	2	common	common	ADJ
brj-22315	417	3	latent	latent	NOUN
brj-22315	417	4	space	space	NOUN
brj-22315	417	5	exploration	exploration	NOUN
brj-22315	417	6	for	for	ADP
brj-22315	417	7	calibration	calibration	NOUN
brj-22315	417	8	transfer	transfer	NOUN
brj-22315	417	9	across	across	ADP
brj-22315	417	10	hyperspectral	hyperspectral	ADJ
brj-22315	417	11	imaging	imaging	NOUN
brj-22315	417	12	-	-	PUNCT
brj-22315	417	13	based	base	VERB
brj-22315	417	14	phenotyping	phenotyping	NOUN
brj-22315	417	15	systems	system	NOUN
brj-22315	417	16	,	,	PUNCT
brj-22315	417	17	”	"	PUNCT
brj-22315	417	18	remote	remote	ADJ
brj-22315	417	19	sensing	sensing	NOUN
brj-22315	417	20	14(2	14(2	NUM
brj-22315	417	21	)	)	PUNCT
brj-22315	417	22	.	.	PUNCT
brj-22315	418	1	doi	doi	NOUN
brj-22315	418	2	:	:	PUNCT
brj-22315	418	3	10.3390	10.3390	NUM
brj-22315	418	4	/	/	SYM
brj-22315	418	5	rs14020319	rs14020319	PROPN
brj-22315	418	6	salguero	salguero	NOUN
brj-22315	418	7	-	-	PUNCT
brj-22315	418	8	chaparro	chaparro	PROPN
brj-22315	418	9	,	,	PUNCT
brj-22315	418	10	l.	l.	PROPN
brj-22315	418	11	,	,	PUNCT
brj-22315	418	12	palagos	palagos	PROPN
brj-22315	418	13	,	,	PUNCT
brj-22315	418	14	b.	b.	PROPN
brj-22315	418	15	,	,	PUNCT
brj-22315	418	16	peña	peña	PROPN
brj-22315	418	17	-	-	PUNCT
brj-22315	418	18	rodríguez	rodríguez	NOUN
brj-22315	418	19	,	,	PUNCT
brj-22315	418	20	f.	f.	PROPN
brj-22315	418	21	,	,	PUNCT
brj-22315	418	22	and	and	CCONJ
brj-22315	418	23	roger	roger	PROPN
brj-22315	418	24	,	,	PUNCT
brj-22315	418	25	j.	j.	PROPN
brj-22315	418	26	m.	m.	PROPN
brj-22315	418	27	(	(	PUNCT
brj-22315	418	28	2013	2013	NUM
brj-22315	418	29	)	)	PUNCT
brj-22315	418	30	.	.	PUNCT
brj-22315	419	1	“	"	PUNCT
brj-22315	419	2	calibration	calibration	NOUN
brj-22315	419	3	transfer	transfer	NOUN
brj-22315	419	4	of	of	ADP
brj-22315	419	5	intact	intact	ADJ
brj-22315	419	6	olive	olive	NOUN
brj-22315	419	7	nir	nir	X
brj-22315	419	8	spectra	spectra	NOUN
brj-22315	419	9	between	between	ADP
brj-22315	419	10	a	a	DET
brj-22315	419	11	pre	pre	ADJ
brj-22315	419	12	-	-	ADJ
brj-22315	419	13	dispersive	dispersive	ADJ
brj-22315	419	14	instrument	instrument	NOUN
brj-22315	419	15	and	and	CCONJ
brj-22315	419	16	a	a	DET
brj-22315	419	17	portable	portable	ADJ
brj-22315	419	18	spectrometer	spectrometer	NOUN
brj-22315	419	19	,	,	PUNCT
brj-22315	419	20	”	"	PUNCT
brj-22315	419	21	computers	computer	NOUN
brj-22315	419	22	and	and	CCONJ
brj-22315	419	23	electronics	electronic	NOUN
brj-22315	419	24	in	in	ADP
brj-22315	419	25	agriculture	agriculture	NOUN
brj-22315	419	26	96	96	NUM
brj-22315	419	27	,	,	PUNCT
brj-22315	419	28	202	202	NUM
brj-22315	419	29	-	-	SYM
brj-22315	419	30	208	208	NUM
brj-22315	419	31	.	.	PUNCT
brj-22315	420	1	doi	doi	NOUN
brj-22315	420	2	:	:	PUNCT
brj-22315	420	3	10.1016	10.1016	NUM
brj-22315	420	4	/	/	SYM
brj-22315	420	5	j.compag.2013.05.007	j.compag.2013.05.007	ADJ
brj-22315	420	6	sarstedt	sarstedt	NOUN
brj-22315	420	7	,	,	PUNCT
brj-22315	420	8	m.	m.	NOUN
brj-22315	420	9	,	,	PUNCT
brj-22315	420	10	and	and	CCONJ
brj-22315	420	11	cheah	cheah	PROPN
brj-22315	420	12	,	,	PUNCT
brj-22315	420	13	j.	j.	PROPN
brj-22315	420	14	h.	h.	PROPN
brj-22315	420	15	(	(	PUNCT
brj-22315	420	16	2019	2019	NUM
brj-22315	420	17	)	)	PUNCT
brj-22315	420	18	.	.	PUNCT
brj-22315	421	1	“	"	PUNCT
brj-22315	421	2	partial	partial	ADJ
brj-22315	421	3	least	least	ADJ
brj-22315	421	4	squares	square	VERB
brj-22315	421	5	structural	structural	ADJ
brj-22315	421	6	equation	equation	NOUN
brj-22315	421	7	modeling	modeling	NOUN
brj-22315	421	8	using	use	VERB
brj-22315	421	9	smartpls	smartpls	NOUN
brj-22315	421	10	:	:	PUNCT
brj-22315	421	11	a	a	DET
brj-22315	421	12	software	software	NOUN
brj-22315	421	13	review	review	NOUN
brj-22315	421	14	,	,	PUNCT
brj-22315	421	15	”	"	PUNCT
brj-22315	421	16	journal	journal	NOUN
brj-22315	421	17	of	of	ADP
brj-22315	421	18	marketing	marketing	NOUN
brj-22315	421	19	analytics	analytic	NOUN
brj-22315	421	20	7(3	7(3	NUM
brj-22315	421	21	)	)	PUNCT
brj-22315	421	22	,	,	PUNCT
brj-22315	421	23	196	196	NUM
brj-22315	421	24	-	-	SYM
brj-22315	421	25	202	202	NUM
brj-22315	421	26	.	.	PUNCT
brj-22315	422	1	doi	doi	NOUN
brj-22315	422	2	:	:	PUNCT
brj-22315	422	3	10.1057	10.1057	NUM
brj-22315	422	4	/	/	SYM
brj-22315	422	5	s41270	s41270	NUM
brj-22315	422	6	-	-	PUNCT
brj-22315	422	7	019	019	NUM
brj-22315	422	8	-	-	PUNCT
brj-22315	422	9	00058	00058	NUM
brj-22315	422	10	-	-	SYM
brj-22315	422	11	3	3	NUM
brj-22315	422	12	sarstedt	sarstedt	NOUN
brj-22315	422	13	,	,	PUNCT
brj-22315	422	14	m.	m.	NOUN
brj-22315	422	15	,	,	PUNCT
brj-22315	422	16	hair	hair	NOUN
brj-22315	422	17	,	,	PUNCT
brj-22315	422	18	j.	j.	PROPN
brj-22315	422	19	f.	f.	PROPN
brj-22315	422	20	,	,	PUNCT
brj-22315	422	21	pick	pick	VERB
brj-22315	422	22	,	,	PUNCT
brj-22315	422	23	m.	m.	NOUN
brj-22315	422	24	,	,	PUNCT
brj-22315	422	25	liengaard	liengaard	PROPN
brj-22315	422	26	,	,	PUNCT
brj-22315	422	27	b.	b.	PROPN
brj-22315	422	28	d.	d.	PROPN
brj-22315	422	29	,	,	PUNCT
brj-22315	422	30	radomir	radomir	PROPN
brj-22315	422	31	,	,	PUNCT
brj-22315	422	32	l.	l.	PROPN
brj-22315	422	33	,	,	PUNCT
brj-22315	422	34	and	and	CCONJ
brj-22315	422	35	ringle	ringle	NOUN
brj-22315	422	36	,	,	PUNCT
brj-22315	422	37	c.	c.	PROPN
brj-22315	422	38	m.	m.	NOUN
brj-22315	422	39	(	(	PUNCT
brj-22315	422	40	2022	2022	NUM
brj-22315	422	41	)	)	PUNCT
brj-22315	422	42	.	.	PUNCT
brj-22315	423	1	“	"	PUNCT
brj-22315	423	2	progress	progress	NOUN
brj-22315	423	3	in	in	ADP
brj-22315	423	4	partial	partial	ADJ
brj-22315	423	5	least	least	ADJ
brj-22315	423	6	squares	square	NOUN
brj-22315	423	7	structural	structural	ADJ
brj-22315	423	8	equation	equation	NOUN
brj-22315	423	9	modeling	model	VERB
brj-22315	423	10	use	use	NOUN
brj-22315	423	11	in	in	ADP
brj-22315	423	12	marketing	marketing	NOUN
brj-22315	423	13	research	research	NOUN
brj-22315	423	14	in	in	ADP
brj-22315	423	15	the	the	DET
brj-22315	423	16	last	last	ADJ
brj-22315	423	17	decade	decade	NOUN
brj-22315	423	18	,	,	PUNCT
brj-22315	423	19	”	"	PUNCT
brj-22315	423	20	psychology	psychology	NOUN
brj-22315	423	21	&	&	CCONJ
brj-22315	423	22	marketing	marketing	NOUN
brj-22315	423	23	39(5	39(5	NUM
brj-22315	423	24	)	)	PUNCT
brj-22315	423	25	,	,	PUNCT
brj-22315	423	26	1035	1035	NUM
brj-22315	423	27	-	-	SYM
brj-22315	423	28	1064	1064	NUM
brj-22315	423	29	.	.	PUNCT
brj-22315	424	1	doi	doi	NOUN
brj-22315	424	2	:	:	PUNCT
brj-22315	424	3	10.1002	10.1002	NUM
brj-22315	424	4	/	/	SYM
brj-22315	424	5	mar.21640	mar.21640	PRON
brj-22315	424	6	schuberth	schuberth	NOUN
brj-22315	424	7	,	,	PUNCT
brj-22315	424	8	f.	f.	PROPN
brj-22315	424	9	,	,	PUNCT
brj-22315	424	10	henseler	henseler	PROPN
brj-22315	424	11	,	,	PUNCT
brj-22315	424	12	j.	j.	PROPN
brj-22315	424	13	,	,	PUNCT
brj-22315	424	14	and	and	CCONJ
brj-22315	424	15	dijkstra	dijkstra	ADJ
brj-22315	424	16	,	,	PUNCT
brj-22315	424	17	t.	t.	PROPN
brj-22315	424	18	k.	k.	PROPN
brj-22315	424	19	(	(	PUNCT
brj-22315	424	20	2018	2018	NUM
brj-22315	424	21	)	)	PUNCT
brj-22315	424	22	.	.	PUNCT
brj-22315	425	1	“	"	PUNCT
brj-22315	425	2	confirmatory	confirmatory	ADJ
brj-22315	425	3	composite	composite	ADJ
brj-22315	425	4	analysis	analysis	NOUN
brj-22315	425	5	,	,	PUNCT
brj-22315	425	6	”	"	PUNCT
brj-22315	425	7	frontiers	frontier	NOUN
brj-22315	425	8	in	in	ADP
brj-22315	425	9	psychology	psychology	NOUN
brj-22315	425	10	9	9	NUM
brj-22315	425	11	.	.	PUNCT
brj-22315	425	12	doi	doi	NOUN
brj-22315	425	13	:	:	PUNCT
brj-22315	425	14	10.3389	10.3389	NUM
brj-22315	425	15	/	/	SYM
brj-22315	425	16	fpsyg.2018.02541	fpsyg.2018.02541	PROPN
brj-22315	425	17	.	.	PUNCT
brj-22315	426	1	shan	shan	PROPN
brj-22315	426	2	,	,	PUNCT
brj-22315	426	3	p.	p.	PROPN
brj-22315	426	4	,	,	PUNCT
brj-22315	426	5	zhao	zhao	PROPN
brj-22315	426	6	,	,	PUNCT
brj-22315	426	7	y.	y.	PROPN
brj-22315	426	8	,	,	PUNCT
brj-22315	426	9	wang	wang	PROPN
brj-22315	426	10	,	,	PUNCT
brj-22315	426	11	q.	q.	PROPN
brj-22315	426	12	,	,	PUNCT
brj-22315	426	13	ying	ying	PROPN
brj-22315	426	14	,	,	PUNCT
brj-22315	426	15	y.	y.	PROPN
brj-22315	426	16	,	,	PUNCT
brj-22315	426	17	and	and	CCONJ
brj-22315	426	18	peng	peng	PROPN
brj-22315	426	19	,	,	PUNCT
brj-22315	426	20	s.	s.	PROPN
brj-22315	426	21	(	(	PUNCT
brj-22315	426	22	2020	2020	NUM
brj-22315	426	23	)	)	PUNCT
brj-22315	426	24	.	.	PUNCT
brj-22315	427	1	“	"	PUNCT
brj-22315	427	2	principal	principal	ADJ
brj-22315	427	3	component	component	NOUN
brj-22315	427	4	analysis	analysis	NOUN
brj-22315	427	5	or	or	CCONJ
brj-22315	427	6	kernel	kernel	NOUN
brj-22315	427	7	principal	principal	ADJ
brj-22315	427	8	component	component	NOUN
brj-22315	427	9	analysis	analysis	NOUN
brj-22315	427	10	based	base	VERB
brj-22315	427	11	joint	joint	ADJ
brj-22315	427	12	spectral	spectral	ADJ
brj-22315	427	13	subspace	subspace	NOUN
brj-22315	427	14	method	method	NOUN
brj-22315	427	15	for	for	ADP
brj-22315	427	16	calibration	calibration	NOUN
brj-22315	427	17	transfer	transfer	NOUN
brj-22315	427	18	,	,	PUNCT
brj-22315	427	19	”	"	PUNCT
brj-22315	427	20	spectrochimica	spectrochimica	NOUN
brj-22315	427	21	acta	acta	PROPN
brj-22315	427	22	part	part	NOUN
brj-22315	427	23	a	a	PRON
brj-22315	427	24	:	:	PUNCT
brj-22315	427	25	molecular	molecular	ADJ
brj-22315	427	26	and	and	CCONJ
brj-22315	427	27	biomolecular	biomolecular	ADJ
brj-22315	427	28	spectroscopy	spectroscopy	VERB
brj-22315	427	29	227	227	NUM
brj-22315	427	30	,	,	PUNCT
brj-22315	427	31	article	article	NOUN
brj-22315	427	32	117653	117653	NUM
brj-22315	427	33	.	.	PUNCT
brj-22315	428	1	doi	doi	NOUN
brj-22315	428	2	:	:	PUNCT
brj-22315	428	3	10.1016	10.1016	NUM
brj-22315	428	4	/	/	SYM
brj-22315	428	5	j.saa.2019.117653	j.saa.2019.117653	PROPN
brj-22315	428	6	smith	smith	PROPN
brj-22315	428	7	,	,	PUNCT
brj-22315	428	8	l.	l.	PROPN
brj-22315	428	9	k.	k.	PROPN
brj-22315	428	10	,	,	PUNCT
brj-22315	428	11	nixon	nixon	PROPN
brj-22315	428	12	,	,	PUNCT
brj-22315	428	13	r.	r.	PROPN
brj-22315	428	14	s.	s.	PROPN
brj-22315	428	15	,	,	PUNCT
brj-22315	428	16	sudweeks	sudweek	NOUN
brj-22315	428	17	,	,	PUNCT
brj-22315	428	18	r.	r.	PROPN
brj-22315	428	19	r.	r.	PROPN
brj-22315	428	20	,	,	PUNCT
brj-22315	428	21	and	and	CCONJ
brj-22315	428	22	larsen	larsen	PROPN
brj-22315	428	23	r.	r.	PROPN
brj-22315	428	24	a.	a.	PROPN
brj-22315	428	25	(	(	PUNCT
brj-22315	428	26	2022	2022	NUM
brj-22315	428	27	)	)	PUNCT
brj-22315	428	28	.	.	PUNCT
brj-22315	429	1	“	"	PUNCT
brj-22315	429	2	elementary	elementary	ADJ
brj-22315	429	3	teacher	teacher	NOUN
brj-22315	429	4	characteristics	characteristic	NOUN
brj-22315	429	5	,	,	PUNCT
brj-22315	429	6	experiences	experience	NOUN
brj-22315	429	7	,	,	PUNCT
brj-22315	429	8	and	and	CCONJ
brj-22315	429	9	science	science	NOUN
brj-22315	429	10	subject	subject	NOUN
brj-22315	429	11	matter	matter	NOUN
brj-22315	429	12	knowledge	knowledge	NOUN
brj-22315	429	13	:	:	PUNCT
brj-22315	429	14	understanding	understand	VERB
brj-22315	429	15	the	the	DET
brj-22315	429	16	relationships	relationship	NOUN
brj-22315	429	17	through	through	ADP
brj-22315	429	18	structural	structural	ADJ
brj-22315	429	19	equation	equation	NOUN
brj-22315	429	20	modeling	modeling	NOUN
brj-22315	429	21	,	,	PUNCT
brj-22315	429	22	”	"	PUNCT
brj-22315	429	23	teaching	teaching	NOUN
brj-22315	429	24	and	and	CCONJ
brj-22315	429	25	teacher	teacher	NOUN
brj-22315	429	26	education	education	NOUN
brj-22315	429	27	113	113	NUM
brj-22315	429	28	,	,	PUNCT
brj-22315	429	29	article	article	NOUN
brj-22315	429	30	103661	103661	NUM
brj-22315	429	31	.	.	PUNCT
brj-22315	430	1	doi	doi	NOUN
brj-22315	430	2	:	:	PUNCT
brj-22315	430	3	10.1016	10.1016	NUM
brj-22315	430	4	/	/	SYM
brj-22315	430	5	j.tate.2022.103661	j.tate.2022.103661	PROPN
brj-22315	430	6	sun	sun	PROPN
brj-22315	430	7	,	,	PUNCT
brj-22315	430	8	x.	x.	PROPN
brj-22315	430	9	,	,	PUNCT
brj-22315	430	10	zhang	zhang	PROPN
brj-22315	430	11	,	,	PUNCT
brj-22315	430	12	p.	p.	PROPN
brj-22315	430	13	,	,	PUNCT
brj-22315	430	14	shen	shen	PROPN
brj-22315	430	15	,	,	PUNCT
brj-22315	430	16	z.	z.	PROPN
brj-22315	430	17	,	,	PUNCT
brj-22315	430	18	yuan	yuan	PROPN
brj-22315	430	19	,	,	PUNCT
brj-22315	430	20	h.	h.	PROPN
brj-22315	430	21	,	,	PUNCT
brj-22315	430	22	song	song	NOUN
brj-22315	430	23	,	,	PUNCT
brj-22315	430	24	c.	c.	PROPN
brj-22315	430	25	,	,	PUNCT
brj-22315	430	26	han	han	PROPN
brj-22315	430	27	,	,	PUNCT
brj-22315	430	28	x.	x.	PROPN
brj-22315	430	29	,	,	PUNCT
brj-22315	430	30	xiu	xiu	PROPN
brj-22315	430	31	,	,	PUNCT
brj-22315	430	32	y.	y.	PROPN
brj-22315	430	33	,	,	PUNCT
brj-22315	430	34	lv	lv	PROPN
brj-22315	430	35	,	,	PUNCT
brj-22315	430	36	z.	z.	PROPN
brj-22315	430	37	,	,	PUNCT
brj-22315	430	38	and	and	CCONJ
brj-22315	430	39	hu	hu	PROPN
brj-22315	430	40	,	,	PUNCT
brj-22315	430	41	a.	a.	NOUN
brj-22315	430	42	(	(	PUNCT
brj-22315	430	43	2021	2021	NUM
brj-22315	430	44	)	)	PUNCT
brj-22315	430	45	.	.	PUNCT
brj-22315	431	1	“	"	PUNCT
brj-22315	431	2	investigation	investigation	NOUN
brj-22315	431	3	on	on	ADP
brj-22315	431	4	spectral	spectral	ADJ
brj-22315	431	5	standardization	standardization	NOUN
brj-22315	431	6	among	among	ADP
brj-22315	431	7	multi	multi	ADJ
brj-22315	431	8	-	-	NOUN
brj-22315	431	9	channel	channel	NOUN
brj-22315	431	10	of	of	ADP
brj-22315	431	11	an	an	DET
brj-22315	431	12	on	on	ADP
brj-22315	431	13	-	-	PUNCT
brj-22315	431	14	line	line	NOUN
brj-22315	431	15	near	near	ADV
brj-22315	431	16	-	-	PUNCT
brj-22315	431	17	infrared	infrared	ADJ
brj-22315	431	18	spectrometer	spectrometer	NOUN
brj-22315	431	19	,	,	PUNCT
brj-22315	431	20	”	"	PUNCT
brj-22315	431	21	vibrational	vibrational	ADJ
brj-22315	431	22	spectroscopy	spectroscopy	NOUN
brj-22315	431	23	113	113	NUM
brj-22315	431	24	,	,	PUNCT
brj-22315	431	25	article	article	NOUN
brj-22315	431	26	103206	103206	NUM
brj-22315	431	27	.	.	PUNCT
brj-22315	432	1	doi	doi	NOUN
brj-22315	432	2	:	:	PUNCT
brj-22315	432	3	10.1016	10.1016	NUM
brj-22315	432	4	/	/	SYM
brj-22315	432	5	j.vibspec.2021.103206	j.vibspec.2021.103206	NOUN
brj-22315	432	6	tenenhaus	tenenhaus	NOUN
brj-22315	432	7	,	,	PUNCT
brj-22315	432	8	m.	m.	NOUN
brj-22315	432	9	,	,	PUNCT
brj-22315	432	10	and	and	CCONJ
brj-22315	432	11	hanafi	hanafi	NOUN
brj-22315	432	12	,	,	PUNCT
brj-22315	432	13	m.	m.	NOUN
brj-22315	432	14	(	(	PUNCT
brj-22315	432	15	2010	2010	NUM
brj-22315	432	16	)	)	PUNCT
brj-22315	432	17	.	.	PUNCT
brj-22315	433	1	“	"	PUNCT
brj-22315	433	2	a	a	DET
brj-22315	433	3	bridge	bridge	NOUN
brj-22315	433	4	between	between	ADP
brj-22315	433	5	pls	pls	NOUN
brj-22315	433	6	path	path	NOUN
brj-22315	433	7	modeling	modeling	NOUN
brj-22315	433	8	and	and	CCONJ
brj-22315	433	9	multiblock	multiblock	PROPN
brj-22315	433	10	data	datum	NOUN
brj-22315	433	11	analysis	analysis	NOUN
brj-22315	433	12	,	,	PUNCT
brj-22315	433	13	”	"	PUNCT
brj-22315	433	14	in	in	ADP
brj-22315	433	15	:	:	PUNCT
brj-22315	433	16	handbook	handbook	NOUN
brj-22315	433	17	of	of	ADP
brj-22315	433	18	least	least	ADJ
brj-22315	433	19	partial	partial	ADJ
brj-22315	433	20	squares	square	NOUN
brj-22315	433	21	,	,	PUNCT
brj-22315	433	22	v.	v.	PROPN
brj-22315	433	23	e.	e.	PROPN
brj-22315	433	24	vinzi	vinzi	PROPN
brj-22315	433	25	,	,	PUNCT
brj-22315	433	26	w.	w.	PROPN
brj-22315	433	27	w.	w.	PROPN
brj-22315	433	28	chin	chin	PROPN
brj-22315	433	29	,	,	PUNCT
brj-22315	433	30	j.	j.	PROPN
brj-22315	433	31	henseler	henseler	PROPN
brj-22315	433	32	,	,	PUNCT
brj-22315	433	33	and	and	CCONJ
brj-22315	433	34	h.	h.	PROPN
brj-22315	433	35	wang	wang	PROPN
brj-22315	433	36	(	(	PUNCT
brj-22315	433	37	eds	eds	PROPN
brj-22315	433	38	.	.	PUNCT
brj-22315	433	39	)	)	PUNCT
brj-22315	433	40	,	,	PUNCT
brj-22315	433	41	springer	springer	NOUN
brj-22315	433	42	,	,	PUNCT
brj-22315	433	43	berlin	berlin	PROPN
brj-22315	433	44	,	,	PUNCT
brj-22315	433	45	pp	pp	PROPN
brj-22315	433	46	.	.	PUNCT
brj-22315	434	1	99	99	NUM
brj-22315	434	2	-	-	SYM
brj-22315	434	3	123	123	NUM
brj-22315	434	4	.	.	PUNCT
brj-22315	435	1	doi	doi	NOUN
brj-22315	435	2	:	:	PUNCT
brj-22315	435	3	10.1007/978	10.1007/978	NUM
brj-22315	435	4	-	-	SYM
brj-22315	435	5	3	3	NUM
brj-22315	435	6	-	-	PUNCT
brj-22315	435	7	540	540	NUM
brj-22315	435	8	-	-	PUNCT
brj-22315	435	9	32827	32827	NUM
brj-22315	435	10	-	-	PUNCT
brj-22315	435	11	8_5	8_5	NUM
brj-22315	435	12	peer	peer	NOUN
brj-22315	435	13	-	-	PUNCT
brj-22315	435	14	reviewed	review	VERB
brj-22315	435	15	article	article	NOUN
brj-22315	435	16	bioresources.com	bioresources.com	X
brj-22315	435	17	jiang	jiang	PROPN
brj-22315	435	18	et	et	PROPN
brj-22315	435	19	al	al	PROPN
brj-22315	435	20	.	.	PROPN
brj-22315	435	21	(	(	PUNCT
brj-22315	435	22	2023	2023	NUM
brj-22315	435	23	)	)	PUNCT
brj-22315	435	24	.	.	PUNCT
brj-22315	436	1	“	"	PUNCT
brj-22315	436	2	non	non	ADJ
brj-22315	436	3	-	-	ADJ
brj-22315	436	4	destructive	destructive	ADJ
brj-22315	436	5	wood	wood	NOUN
brj-22315	436	6	testing	testing	NOUN
brj-22315	436	7	,	,	PUNCT
brj-22315	436	8	”	"	PUNCT
brj-22315	436	9	bioresources	bioresource	NOUN
brj-22315	436	10	18(2	18(2	NUM
brj-22315	436	11	)	)	PUNCT
brj-22315	436	12	,	,	PUNCT
brj-22315	436	13	3620	3620	NUM
brj-22315	436	14	-	-	SYM
brj-22315	436	15	3641	3641	NUM
brj-22315	436	16	.	.	PUNCT
brj-22315	437	1	3641	3641	NUM
brj-22315	437	2	tian	tian	PROPN
brj-22315	437	3	,	,	PUNCT
brj-22315	437	4	j.	j.	PROPN
brj-22315	437	5	,	,	PUNCT
brj-22315	437	6	chen	chen	PROPN
brj-22315	437	7	,	,	PUNCT
brj-22315	437	8	x.	x.	PROPN
brj-22315	437	9	,	,	PUNCT
brj-22315	437	10	liang	liang	PROPN
brj-22315	437	11	,	,	PUNCT
brj-22315	437	12	z.	z.	PROPN
brj-22315	437	13	,	,	PUNCT
brj-22315	437	14	qi	qi	PROPN
brj-22315	437	15	,	,	PUNCT
brj-22315	437	16	w.	w.	PROPN
brj-22315	437	17	,	,	PUNCT
brj-22315	437	18	zheng	zheng	PROPN
brj-22315	437	19	,	,	PUNCT
brj-22315	437	20	x.	x.	PROPN
brj-22315	437	21	,	,	PUNCT
brj-22315	437	22	lu	lu	PROPN
brj-22315	437	23	,	,	PUNCT
brj-22315	437	24	d.	d.	PROPN
brj-22315	437	25	,	,	PUNCT
brj-22315	437	26	and	and	CCONJ
brj-22315	437	27	chen	chen	PROPN
brj-22315	437	28	,	,	PUNCT
brj-22315	437	29	b.	b.	PROPN
brj-22315	437	30	(	(	PUNCT
brj-22315	437	31	2022	2022	NUM
brj-22315	437	32	)	)	PUNCT
brj-22315	437	33	.	.	PUNCT
brj-22315	438	1	“	"	PUNCT
brj-22315	438	2	application	application	NOUN
brj-22315	438	3	of	of	ADP
brj-22315	438	4	nir	nir	ADJ
brj-22315	438	5	spectral	spectral	ADJ
brj-22315	438	6	standardization	standardization	NOUN
brj-22315	438	7	based	base	VERB
brj-22315	438	8	on	on	ADP
brj-22315	438	9	principal	principal	ADJ
brj-22315	438	10	component	component	NOUN
brj-22315	438	11	score	score	NOUN
brj-22315	438	12	evaluation	evaluation	NOUN
brj-22315	438	13	in	in	ADP
brj-22315	438	14	wheat	wheat	NOUN
brj-22315	438	15	flour	flour	NOUN
brj-22315	438	16	crude	crude	ADJ
brj-22315	438	17	protein	protein	NOUN
brj-22315	438	18	model	model	NOUN
brj-22315	438	19	sharing	sharing	NOUN
brj-22315	438	20	,	,	PUNCT
brj-22315	438	21	”	"	PUNCT
brj-22315	438	22	journal	journal	NOUN
brj-22315	438	23	of	of	ADP
brj-22315	438	24	food	food	NOUN
brj-22315	438	25	quality	quality	NOUN
brj-22315	438	26	2022	2022	NUM
brj-22315	438	27	,	,	PUNCT
brj-22315	438	28	9009756	9009756	NUM
brj-22315	438	29	.	.	PUNCT
brj-22315	439	1	doi	doi	NOUN
brj-22315	439	2	:	:	PUNCT
brj-22315	439	3	10.1155/2022/9009756	10.1155/2022/9009756	NUM
brj-22315	439	4	tuncer	tuncer	NOUN
brj-22315	439	5	,	,	PUNCT
brj-22315	439	6	f.	f.	PROPN
brj-22315	439	7	d.	d.	PROPN
brj-22315	439	8	(	(	PUNCT
brj-22315	439	9	2022	2022	NUM
brj-22315	439	10	)	)	PUNCT
brj-22315	439	11	.	.	PUNCT
brj-22315	440	1	“	"	PUNCT
brj-22315	440	2	comparing	compare	VERB
brj-22315	440	3	modelling	modelling	NOUN
brj-22315	440	4	performance	performance	NOUN
brj-22315	440	5	of	of	ADP
brj-22315	440	6	chemometric	chemometric	ADJ
brj-22315	440	7	methods	method	NOUN
brj-22315	440	8	for	for	ADP
brj-22315	440	9	wood	wood	NOUN
brj-22315	440	10	discrimination	discrimination	NOUN
brj-22315	440	11	by	by	ADP
brj-22315	440	12	near	near	ADP
brj-22315	440	13	infrared	infrared	ADJ
brj-22315	440	14	spectroscopy	spectroscopy	NOUN
brj-22315	440	15	,	,	PUNCT
brj-22315	440	16	”	"	PUNCT
brj-22315	440	17	wood	wood	NOUN
brj-22315	440	18	material	material	NOUN
brj-22315	440	19	science	science	NOUN
brj-22315	440	20	&	&	CCONJ
brj-22315	440	21	engineering	engineering	NOUN
brj-22315	440	22	2022	2022	NUM
brj-22315	440	23	,	,	PUNCT
brj-22315	440	24	1	1	NUM
brj-22315	440	25	-	-	SYM
brj-22315	440	26	12	12	NUM
brj-22315	440	27	.	.	PUNCT
brj-22315	441	1	doi	doi	NOUN
brj-22315	441	2	:	:	PUNCT
brj-22315	441	3	10.1080/17480272.2022.2039960	10.1080/17480272.2022.2039960	NUM
brj-22315	441	4	tunny	tunny	PROPN
brj-22315	441	5	,	,	PUNCT
brj-22315	441	6	s.	s.	PROPN
brj-22315	441	7	s.	s.	PROPN
brj-22315	441	8	,	,	PUNCT
brj-22315	441	9	hamanah	hamanah	PROPN
brj-22315	441	10	,	,	PUNCT
brj-22315	441	11	h.	h.	PROPN
brj-22315	441	12	z.	z.	PROPN
brj-22315	441	13	,	,	PUNCT
brj-22315	441	14	faqeerzada	faqeerzada	PROPN
brj-22315	441	15	,	,	PUNCT
brj-22315	441	16	m.	m.	NOUN
brj-22315	441	17	a.	a.	PROPN
brj-22315	441	18	,	,	PUNCT
brj-22315	441	19	wakholi	wakholi	PROPN
brj-22315	441	20	,	,	PUNCT
brj-22315	441	21	c.	c.	PROPN
brj-22315	441	22	,	,	PUNCT
brj-22315	441	23	kim	kim	PROPN
brj-22315	441	24	,	,	PUNCT
brj-22315	441	25	m.	m.	NOUN
brj-22315	441	26	s.	s.	PROPN
brj-22315	441	27	,	,	PUNCT
brj-22315	441	28	baek	baek	PROPN
brj-22315	441	29	,	,	PUNCT
brj-22315	441	30	i.	i.	NOUN
brj-22315	441	31	,	,	PUNCT
brj-22315	441	32	and	and	CCONJ
brj-22315	441	33	cho	cho	PROPN
brj-22315	441	34	,	,	PUNCT
brj-22315	441	35	b.	b.	PROPN
brj-22315	441	36	k.	k.	PROPN
brj-22315	441	37	(	(	PUNCT
brj-22315	441	38	2022	2022	NUM
brj-22315	441	39	)	)	PUNCT
brj-22315	441	40	.	.	PUNCT
brj-22315	442	1	“	"	PUNCT
brj-22315	442	2	multispectral	multispectral	ADJ
brj-22315	442	3	wavebands	waveband	NOUN
brj-22315	442	4	selection	selection	NOUN
brj-22315	442	5	for	for	ADP
brj-22315	442	6	the	the	DET
brj-22315	442	7	detection	detection	NOUN
brj-22315	442	8	of	of	ADP
brj-22315	442	9	potential	potential	ADJ
brj-22315	442	10	foreign	foreign	ADJ
brj-22315	442	11	materials	material	NOUN
brj-22315	442	12	in	in	ADP
brj-22315	442	13	fresh	fresh	ADJ
brj-22315	442	14	-	-	PUNCT
brj-22315	442	15	cut	cut	VERB
brj-22315	442	16	vegetables	vegetable	NOUN
brj-22315	442	17	,	,	PUNCT
brj-22315	442	18	”	"	PUNCT
brj-22315	442	19	sensors	sensor	NOUN
brj-22315	442	20	22(5	22(5	NOUN
brj-22315	442	21	)	)	PUNCT
brj-22315	442	22	.	.	PUNCT
brj-22315	443	1	doi	doi	NOUN
brj-22315	443	2	:	:	PUNCT
brj-22315	443	3	10.3390	10.3390	NUM
brj-22315	443	4	/	/	SYM
brj-22315	443	5	s22051775	s22051775	NOUN
brj-22315	443	6	vidal	vidal	NOUN
brj-22315	443	7	,	,	PUNCT
brj-22315	443	8	c.	c.	NOUN
brj-22315	443	9	,	,	PUNCT
brj-22315	443	10	and	and	CCONJ
brj-22315	443	11	pasquini	pasquini	NOUN
brj-22315	443	12	,	,	PUNCT
brj-22315	443	13	c.	c.	NOUN
brj-22315	443	14	(	(	PUNCT
brj-22315	443	15	2021	2021	NUM
brj-22315	443	16	)	)	PUNCT
brj-22315	443	17	.	.	PUNCT
brj-22315	444	1	“	"	PUNCT
brj-22315	444	2	a	a	DET
brj-22315	444	3	comprehensive	comprehensive	ADJ
brj-22315	444	4	and	and	CCONJ
brj-22315	444	5	fast	fast	ADJ
brj-22315	444	6	microplastics	microplastic	NOUN
brj-22315	444	7	identification	identification	NOUN
brj-22315	444	8	based	base	VERB
brj-22315	444	9	on	on	ADP
brj-22315	444	10	near	near	ADV
brj-22315	444	11	-	-	PUNCT
brj-22315	444	12	infrared	infrared	ADJ
brj-22315	444	13	hyperspectral	hyperspectral	ADJ
brj-22315	444	14	imaging	imaging	NOUN
brj-22315	444	15	(	(	PUNCT
brj-22315	444	16	hsi	hsi	PROPN
brj-22315	444	17	-	-	PUNCT
brj-22315	444	18	nir	nir	NOUN
brj-22315	444	19	)	)	PUNCT
brj-22315	444	20	and	and	CCONJ
brj-22315	444	21	chemometrics	chemometric	NOUN
brj-22315	444	22	,	,	PUNCT
brj-22315	444	23	”	"	PUNCT
brj-22315	444	24	environmental	environmental	ADJ
brj-22315	444	25	pollution	pollution	NOUN
brj-22315	444	26	285	285	NUM
brj-22315	444	27	,	,	PUNCT
brj-22315	444	28	article	article	NOUN
brj-22315	444	29	117251	117251	NUM
brj-22315	444	30	.	.	PUNCT
brj-22315	445	1	doi	doi	NOUN
brj-22315	445	2	:	:	PUNCT
brj-22315	445	3	10.1016	10.1016	NUM
brj-22315	445	4	/	/	SYM
brj-22315	445	5	j.envpol.2021.117251	j.envpol.2021.117251	PROPN
brj-22315	445	6	wang	wang	PROPN
brj-22315	445	7	,	,	PUNCT
brj-22315	445	8	y.	y.	PROPN
brj-22315	445	9	,	,	PUNCT
brj-22315	445	10	ren	ren	PROPN
brj-22315	445	11	,	,	PUNCT
brj-22315	445	12	z.	z.	PROPN
brj-22315	445	13	,	,	PUNCT
brj-22315	445	14	li	li	PROPN
brj-22315	445	15	,	,	PUNCT
brj-22315	445	16	m.	m.	NOUN
brj-22315	445	17	,	,	PUNCT
brj-22315	445	18	lu	lu	PROPN
brj-22315	445	19	,	,	PUNCT
brj-22315	445	20	c.	c.	PROPN
brj-22315	445	21	,	,	PUNCT
brj-22315	445	22	deng	deng	PROPN
brj-22315	445	23	,	,	PUNCT
brj-22315	445	24	w.	w.	PROPN
brj-22315	445	25	w.	w.	PROPN
brj-22315	445	26	,	,	PUNCT
brj-22315	445	27	zhang	zhang	PROPN
brj-22315	445	28	,	,	PUNCT
brj-22315	445	29	z.	z.	PROPN
brj-22315	445	30	,	,	PUNCT
brj-22315	445	31	and	and	CCONJ
brj-22315	445	32	ning	ning	PROPN
brj-22315	445	33	.	.	PUNCT
brj-22315	446	1	j.	j.	PROPN
brj-22315	446	2	(	(	PUNCT
brj-22315	446	3	2023	2023	NUM
brj-22315	446	4	)	)	PUNCT
brj-22315	446	5	.	.	PUNCT
brj-22315	447	1	“	"	PUNCT
brj-22315	447	2	from	from	ADP
brj-22315	447	3	lab	lab	NOUN
brj-22315	447	4	to	to	ADP
brj-22315	447	5	factory	factory	NOUN
brj-22315	447	6	:	:	PUNCT
brj-22315	447	7	a	a	DET
brj-22315	447	8	calibration	calibration	NOUN
brj-22315	447	9	transfer	transfer	NOUN
brj-22315	447	10	strategy	strategy	NOUN
brj-22315	447	11	from	from	ADP
brj-22315	447	12	hsi	hsi	PROPN
brj-22315	447	13	to	to	ADP
brj-22315	447	14	online	online	PROPN
brj-22315	447	15	nir	nir	PROPN
brj-22315	447	16	optimized	optimize	VERB
brj-22315	447	17	for	for	ADP
brj-22315	447	18	quality	quality	NOUN
brj-22315	447	19	control	control	NOUN
brj-22315	447	20	of	of	ADP
brj-22315	447	21	green	green	ADJ
brj-22315	447	22	tea	tea	NOUN
brj-22315	447	23	fixation	fixation	NOUN
brj-22315	447	24	,	,	PUNCT
brj-22315	447	25	”	"	PUNCT
brj-22315	447	26	journal	journal	NOUN
brj-22315	447	27	of	of	ADP
brj-22315	447	28	food	food	NOUN
brj-22315	447	29	engineering	engineering	NOUN
brj-22315	447	30	339	339	NUM
brj-22315	447	31	,	,	PUNCT
brj-22315	447	32	article	article	NOUN
brj-22315	447	33	111284	111284	NUM
brj-22315	447	34	.	.	PUNCT
brj-22315	448	1	doi	doi	NOUN
brj-22315	448	2	:	:	PUNCT
brj-22315	448	3	10.1016	10.1016	NUM
brj-22315	448	4	/	/	SYM
brj-22315	448	5	j.jfoodeng.2022.111284	j.jfoodeng.2022.111284	PROPN
brj-22315	448	6	watanabe	watanabe	PROPN
brj-22315	448	7	,	,	PUNCT
brj-22315	448	8	k.	k.	PROPN
brj-22315	448	9	,	,	PUNCT
brj-22315	448	10	yamashita	yamashita	PROPN
brj-22315	448	11	,	,	PUNCT
brj-22315	448	12	k.	k.	PROPN
brj-22315	448	13	,	,	PUNCT
brj-22315	448	14	and	and	CCONJ
brj-22315	448	15	noshiro	noshiro	VERB
brj-22315	448	16	,	,	PUNCT
brj-22315	448	17	s.	s.	PROPN
brj-22315	448	18	(	(	PUNCT
brj-22315	448	19	2012	2012	NUM
brj-22315	448	20	)	)	PUNCT
brj-22315	448	21	.	.	PUNCT
brj-22315	449	1	“	"	PUNCT
brj-22315	449	2	non	non	ADJ
brj-22315	449	3	-	-	ADJ
brj-22315	449	4	destructive	destructive	ADJ
brj-22315	449	5	evaluation	evaluation	NOUN
brj-22315	449	6	of	of	ADP
brj-22315	449	7	surface	surface	NOUN
brj-22315	449	8	longitudinal	longitudinal	ADJ
brj-22315	449	9	growth	growth	NOUN
brj-22315	449	10	strain	strain	NOUN
brj-22315	449	11	on	on	ADP
brj-22315	449	12	sugi	sugi	PROPN
brj-22315	449	13	(	(	PUNCT
brj-22315	449	14	cryptomeria	cryptomeria	PROPN
brj-22315	449	15	japonica	japonica	PROPN
brj-22315	449	16	)	)	PUNCT
brj-22315	449	17	green	green	ADJ
brj-22315	449	18	logs	log	NOUN
brj-22315	449	19	using	use	VERB
brj-22315	449	20	near	near	ADV
brj-22315	449	21	-	-	PUNCT
brj-22315	449	22	infrared	infrared	ADJ
brj-22315	449	23	spectroscopy	spectroscopy	NOUN
brj-22315	449	24	,	,	PUNCT
brj-22315	449	25	”	"	PUNCT
brj-22315	449	26	journal	journal	NOUN
brj-22315	449	27	of	of	ADP
brj-22315	449	28	wood	wood	NOUN
brj-22315	449	29	science	science	NOUN
brj-22315	449	30	58	58	NUM
brj-22315	449	31	(	(	PUNCT
brj-22315	449	32	3	3	NUM
brj-22315	449	33	)	)	PUNCT
brj-22315	449	34	,	,	PUNCT
brj-22315	449	35	267	267	NUM
brj-22315	449	36	-	-	SYM
brj-22315	449	37	272	272	NUM
brj-22315	449	38	.	.	PUNCT
brj-22315	450	1	doi	doi	NOUN
brj-22315	450	2	:	:	PUNCT
brj-22315	450	3	10.1007	10.1007	NUM
brj-22315	450	4	/	/	SYM
brj-22315	450	5	s10086	s10086	PROPN
brj-22315	450	6	-	-	PUNCT
brj-22315	450	7	011	011	NUM
brj-22315	450	8	-	-	PUNCT
brj-22315	450	9	1238	1238	NUM
brj-22315	450	10	-	-	SYM
brj-22315	450	11	2	2	NUM
brj-22315	450	12	yakubu	yakubu	PROPN
brj-22315	450	13	,	,	PUNCT
brj-22315	450	14	h.	h.	PROPN
brj-22315	450	15	g.	g.	PROPN
brj-22315	450	16	,	,	PUNCT
brj-22315	450	17	kovacs	kovacs	PROPN
brj-22315	450	18	,	,	PUNCT
brj-22315	450	19	z.	z.	PROPN
brj-22315	450	20	,	,	PUNCT
brj-22315	450	21	toth	toth	PROPN
brj-22315	450	22	,	,	PUNCT
brj-22315	450	23	t.	t.	PROPN
brj-22315	450	24	,	,	PUNCT
brj-22315	450	25	and	and	CCONJ
brj-22315	450	26	bazar	bazar	PROPN
brj-22315	450	27	,	,	PUNCT
brj-22315	450	28	g.	g.	PROPN
brj-22315	450	29	(	(	PUNCT
brj-22315	450	30	2022	2022	NUM
brj-22315	450	31	)	)	PUNCT
brj-22315	450	32	.	.	PUNCT
brj-22315	451	1	“	"	PUNCT
brj-22315	451	2	the	the	DET
brj-22315	451	3	recent	recent	ADJ
brj-22315	451	4	advances	advance	NOUN
brj-22315	451	5	of	of	ADP
brj-22315	451	6	nearinfrared	nearinfrared	ADJ
brj-22315	451	7	spectroscopy	spectroscopy	NOUN
brj-22315	451	8	in	in	ADP
brj-22315	451	9	dairy	dairy	NOUN
brj-22315	451	10	production	production	NOUN
brj-22315	451	11	—	—	PUNCT
brj-22315	451	12	a	a	DET
brj-22315	451	13	review	review	NOUN
brj-22315	451	14	,	,	PUNCT
brj-22315	451	15	”	"	PUNCT
brj-22315	451	16	critical	critical	ADJ
brj-22315	451	17	reviews	review	NOUN
brj-22315	451	18	in	in	ADP
brj-22315	451	19	food	food	NOUN
brj-22315	451	20	science	science	NOUN
brj-22315	451	21	and	and	CCONJ
brj-22315	451	22	nutrition	nutrition	NOUN
brj-22315	451	23	62	62	NUM
brj-22315	451	24	(	(	PUNCT
brj-22315	451	25	3	3	NUM
brj-22315	451	26	)	)	PUNCT
brj-22315	451	27	,	,	PUNCT
brj-22315	451	28	810	810	NUM
brj-22315	451	29	-	-	SYM
brj-22315	451	30	831	831	NUM
brj-22315	451	31	.	.	PUNCT
brj-22315	452	1	doi	doi	NOUN
brj-22315	452	2	:	:	PUNCT
brj-22315	452	3	10.1080/10408398.2020.1829540	10.1080/10408398.2020.1829540	NUM
brj-22315	452	4	yap	yap	NOUN
brj-22315	452	5	,	,	PUNCT
brj-22315	452	6	x.	x.	PROPN
brj-22315	452	7	y.	y.	PROPN
brj-22315	452	8	,	,	PUNCT
brj-22315	452	9	chia	chia	PROPN
brj-22315	452	10	,	,	PUNCT
brj-22315	452	11	k.	k.	PROPN
brj-22315	452	12	s.	s.	PROPN
brj-22315	452	13	,	,	PUNCT
brj-22315	452	14	and	and	CCONJ
brj-22315	452	15	suarin	suarin	ADJ
brj-22315	452	16	,	,	PUNCT
brj-22315	452	17	n.	n.	PROPN
brj-22315	452	18	a.	a.	PROPN
brj-22315	452	19	s.	s.	PROPN
brj-22315	452	20	(	(	PUNCT
brj-22315	452	21	2022	2022	NUM
brj-22315	452	22	)	)	PUNCT
brj-22315	452	23	.	.	PUNCT
brj-22315	453	1	“	"	PUNCT
brj-22315	453	2	adaptive	adaptive	ADJ
brj-22315	453	3	artificial	artificial	ADJ
brj-22315	453	4	neural	neural	ADJ
brj-22315	453	5	network	network	NOUN
brj-22315	453	6	in	in	ADP
brj-22315	453	7	near	near	ADP
brj-22315	453	8	infrared	infrared	ADJ
brj-22315	453	9	spectroscopy	spectroscopy	NOUN
brj-22315	453	10	for	for	ADP
brj-22315	453	11	standard	standard	ADJ
brj-22315	453	12	-	-	PUNCT
brj-22315	453	13	free	free	ADJ
brj-22315	453	14	calibration	calibration	NOUN
brj-22315	453	15	transfer	transfer	NOUN
brj-22315	453	16	,	,	PUNCT
brj-22315	453	17	”	"	PUNCT
brj-22315	453	18	chemometrics	chemometric	NOUN
brj-22315	453	19	and	and	CCONJ
brj-22315	453	20	intelligent	intelligent	ADJ
brj-22315	453	21	laboratory	laboratory	NOUN
brj-22315	453	22	systems	system	NOUN
brj-22315	453	23	230	230	NUM
brj-22315	453	24	,	,	PUNCT
brj-22315	453	25	article	article	NOUN
brj-22315	453	26	104674	104674	NUM
brj-22315	453	27	.	.	PUNCT
brj-22315	454	1	doi	doi	NOUN
brj-22315	454	2	:	:	PUNCT
brj-22315	454	3	10.1016	10.1016	NUM
brj-22315	454	4	/	/	SYM
brj-22315	454	5	j.chemolab.2022.104674	j.chemolab.2022.104674	NOUN
brj-22315	454	6	zheng	zheng	PROPN
brj-22315	454	7	,	,	PUNCT
brj-22315	454	8	k.	k.	PROPN
brj-22315	454	9	,	,	PUNCT
brj-22315	454	10	zhang	zhang	PROPN
brj-22315	454	11	,	,	PUNCT
brj-22315	454	12	x.	x.	PROPN
brj-22315	454	13	,	,	PUNCT
brj-22315	454	14	iqbal	iqbal	PROPN
brj-22315	454	15	,	,	PUNCT
brj-22315	454	16	j.	j.	PROPN
brj-22315	454	17	,	,	PUNCT
brj-22315	454	18	fan	fan	PROPN
brj-22315	454	19	,	,	PUNCT
brj-22315	454	20	w.	w.	PROPN
brj-22315	454	21	,	,	PUNCT
brj-22315	454	22	wu	wu	PROPN
brj-22315	454	23	,	,	PUNCT
brj-22315	454	24	t.	t.	PROPN
brj-22315	454	25	,	,	PUNCT
brj-22315	454	26	du	du	PROPN
brj-22315	454	27	,	,	PUNCT
brj-22315	454	28	y.	y.	NOUN
brj-22315	454	29	,	,	PUNCT
brj-22315	454	30	and	and	CCONJ
brj-22315	454	31	liang	liang	PROPN
brj-22315	454	32	,	,	PUNCT
brj-22315	454	33	y.	y.	PROPN
brj-22315	454	34	(	(	PUNCT
brj-22315	454	35	2014	2014	NUM
brj-22315	454	36	)	)	PUNCT
brj-22315	454	37	.	.	PUNCT
brj-22315	455	1	“	"	PUNCT
brj-22315	455	2	calibration	calibration	NOUN
brj-22315	455	3	transfer	transfer	NOUN
brj-22315	455	4	of	of	ADP
brj-22315	455	5	near	near	ADV
brj-22315	455	6	-	-	PUNCT
brj-22315	455	7	infrared	infrared	ADJ
brj-22315	455	8	spectra	spectra	NOUN
brj-22315	455	9	for	for	ADP
brj-22315	455	10	extraction	extraction	NOUN
brj-22315	455	11	of	of	ADP
brj-22315	455	12	informative	informative	ADJ
brj-22315	455	13	components	component	NOUN
brj-22315	455	14	from	from	ADP
brj-22315	455	15	spectra	spectra	NOUN
brj-22315	455	16	with	with	ADP
brj-22315	455	17	canonical	canonical	ADJ
brj-22315	455	18	correlation	correlation	NOUN
brj-22315	455	19	analysis	analysis	NOUN
brj-22315	455	20	,	,	PUNCT
brj-22315	455	21	”	"	PUNCT
brj-22315	455	22	journal	journal	NOUN
brj-22315	455	23	of	of	ADP
brj-22315	455	24	chemometrics	chemometric	NOUN
brj-22315	455	25	28(10	28(10	NUM
brj-22315	455	26	)	)	PUNCT
brj-22315	455	27	,	,	PUNCT
brj-22315	455	28	773	773	NUM
brj-22315	455	29	-	-	SYM
brj-22315	455	30	784	784	NUM
brj-22315	455	31	.	.	PUNCT
brj-22315	456	1	doi	doi	NOUN
brj-22315	456	2	:	:	PUNCT
brj-22315	456	3	10.1002	10.1002	NUM
brj-22315	456	4	/	/	SYM
brj-22315	456	5	cem.2637	cem.2637	NUM
brj-22315	456	6	article	article	NOUN
brj-22315	456	7	submitted	submit	VERB
brj-22315	456	8	:	:	PUNCT
brj-22315	456	9	december	december	PROPN
brj-22315	456	10	12	12	NUM
brj-22315	456	11	,	,	PUNCT
brj-22315	456	12	2022	2022	NUM
brj-22315	456	13	;	;	PUNCT
brj-22315	456	14	peer	peer	NOUN
brj-22315	456	15	review	review	NOUN
brj-22315	456	16	completed	complete	VERB
brj-22315	456	17	:	:	PUNCT
brj-22315	456	18	february	february	PROPN
brj-22315	456	19	11	11	NUM
brj-22315	456	20	,	,	PUNCT
brj-22315	456	21	2023	2023	NUM
brj-22315	456	22	;	;	PUNCT
brj-22315	456	23	revised	revise	VERB
brj-22315	456	24	version	version	NOUN
brj-22315	456	25	received	receive	VERB
brj-22315	456	26	:	:	PUNCT
brj-22315	456	27	february	february	PROPN
brj-22315	456	28	22	22	NUM
brj-22315	456	29	,	,	PUNCT
brj-22315	456	30	2023	2023	NUM
brj-22315	456	31	;	;	PUNCT
brj-22315	456	32	accepted	accept	VERB
brj-22315	456	33	:	:	PUNCT
brj-22315	456	34	february	february	PROPN
brj-22315	456	35	23	23	NUM
brj-22315	456	36	,	,	PUNCT
brj-22315	456	37	2023	2023	NUM
brj-22315	456	38	;	;	PUNCT
brj-22315	456	39	published	publish	VERB
brj-22315	456	40	:	:	PUNCT
brj-22315	456	41	april	april	PROPN
brj-22315	456	42	6	6	NUM
brj-22315	456	43	,	,	PUNCT
brj-22315	456	44	2023	2023	NUM
brj-22315	456	45	.	.	PUNCT
brj-22315	457	1	doi	doi	NOUN
brj-22315	457	2	:	:	PUNCT
brj-22315	457	3	10.15376	10.15376	NUM
brj-22315	457	4	/	/	SYM
brj-22315	457	5	biores.18.2.3620	biores.18.2.3620	NOUN
brj-22315	457	6	-	-	PUNCT
brj-22315	457	7	3641	3641	NUM