id	sid	tid	token	lemma	pos
brj-23197	1	1	peer	peer	NOUN
brj-23197	1	2	-	-	PUNCT
brj-23197	1	3	review	review	NOUN
brj-23197	1	4	article	article	NOUN
brj-23197	1	5	peer	peer	NOUN
brj-23197	1	6	-	-	PUNCT
brj-23197	1	7	reviewed	review	VERB
brj-23197	1	8	article	article	NOUN
brj-23197	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	1	10	wang	wang	PROPN
brj-23197	1	11	et	et	PROPN
brj-23197	1	12	al	al	PROPN
brj-23197	1	13	.	.	PROPN
brj-23197	2	1	(	(	PUNCT
brj-23197	2	2	2024	2024	NUM
brj-23197	2	3	)	)	PUNCT
brj-23197	2	4	.	.	PUNCT
brj-23197	3	1	“	"	PUNCT
brj-23197	3	2	wood	wood	NOUN
brj-23197	3	3	moisture	moisture	NOUN
brj-23197	3	4	prediction	prediction	NOUN
brj-23197	3	5	,	,	PUNCT
brj-23197	3	6	”	"	PUNCT
brj-23197	3	7	bioresources	bioresource	NOUN
brj-23197	3	8	19(2	19(2	NUM
brj-23197	3	9	)	)	PUNCT
brj-23197	3	10	,	,	PUNCT
brj-23197	3	11	3001	3001	NUM
brj-23197	3	12	-	-	SYM
brj-23197	3	13	3009	3009	NUM
brj-23197	3	14	.	.	PUNCT
brj-23197	4	1	3001	3001	NUM
brj-23197	4	2	species	specie	NOUN
brj-23197	4	3	-	-	PUNCT
brj-23197	4	4	specific	specific	ADJ
brj-23197	4	5	prediction	prediction	NOUN
brj-23197	4	6	model	model	NOUN
brj-23197	4	7	of	of	ADP
brj-23197	4	8	wood	wood	NOUN
brj-23197	4	9	moisture	moisture	NOUN
brj-23197	4	10	content	content	NOUN
brj-23197	4	11	based	base	VERB
brj-23197	4	12	on	on	ADP
brj-23197	4	13	electromagnetic	electromagnetic	ADJ
brj-23197	4	14	wave	wave	NOUN
brj-23197	4	15	propagation	propagation	NOUN
brj-23197	4	16	time	time	NOUN
brj-23197	4	17	peng	peng	PROPN
brj-23197	4	18	wang	wang	PROPN
brj-23197	4	19	,	,	PUNCT
brj-23197	4	20	#	#	NOUN
brj-23197	4	21	ruixia	ruixia	NOUN
brj-23197	4	22	qin	qin	PROPN
brj-23197	4	23	,	,	PUNCT
brj-23197	4	24	#	#	PROPN
brj-23197	4	25	jiaxing	jiaxing	PROPN
brj-23197	4	26	guo	guo	PROPN
brj-23197	4	27	,	,	PUNCT
brj-23197	4	28	jiedong	jiedong	PROPN
brj-23197	4	29	wei	wei	PROPN
brj-23197	4	30	,	,	PUNCT
brj-23197	4	31	and	and	CCONJ
brj-23197	4	32	huadong	huadong	INTJ
brj-23197	4	33	xu	xu	PROPN
brj-23197	4	34	*	*	PUNCT
brj-23197	4	35	laboratory	laboratory	NOUN
brj-23197	4	36	and	and	CCONJ
brj-23197	4	37	field	field	NOUN
brj-23197	4	38	experiments	experiment	NOUN
brj-23197	4	39	were	be	AUX
brj-23197	4	40	performed	perform	VERB
brj-23197	4	41	to	to	PART
brj-23197	4	42	examine	examine	VERB
brj-23197	4	43	the	the	DET
brj-23197	4	44	feasibility	feasibility	NOUN
brj-23197	4	45	of	of	ADP
brj-23197	4	46	using	use	VERB
brj-23197	4	47	time	time	NOUN
brj-23197	4	48	domain	domain	NOUN
brj-23197	4	49	reflectometry	reflectometry	NOUN
brj-23197	4	50	(	(	PUNCT
brj-23197	4	51	tdr	tdr	PROPN
brj-23197	4	52	)	)	PUNCT
brj-23197	4	53	to	to	PART
brj-23197	4	54	monitor	monitor	VERB
brj-23197	4	55	moisture	moisture	NOUN
brj-23197	4	56	content	content	NOUN
brj-23197	4	57	(	(	PUNCT
brj-23197	4	58	mc	mc	NOUN
brj-23197	4	59	)	)	PUNCT
brj-23197	4	60	of	of	ADP
brj-23197	4	61	wood	wood	NOUN
brj-23197	4	62	and	and	CCONJ
brj-23197	4	63	standing	standing	NOUN
brj-23197	4	64	trees	tree	NOUN
brj-23197	4	65	.	.	PUNCT
brj-23197	5	1	the	the	DET
brj-23197	5	2	tdr	tdr	PROPN
brj-23197	5	3	was	be	AUX
brj-23197	5	4	used	use	VERB
brj-23197	5	5	to	to	PART
brj-23197	5	6	detect	detect	VERB
brj-23197	5	7	the	the	DET
brj-23197	5	8	electromagnetic	electromagnetic	ADJ
brj-23197	5	9	wave	wave	NOUN
brj-23197	5	10	propagation	propagation	NOUN
brj-23197	5	11	time	time	NOUN
brj-23197	5	12	of	of	ADP
brj-23197	5	13	four	four	NUM
brj-23197	5	14	tree	tree	NOUN
brj-23197	5	15	species	specie	NOUN
brj-23197	5	16	(	(	PUNCT
brj-23197	5	17	betula	betula	ADJ
brj-23197	5	18	platyphylla	platyphylla	NOUN
brj-23197	5	19	,	,	PUNCT
brj-23197	5	20	tilia	tilia	PROPN
brj-23197	5	21	tuan	tuan	PROPN
brj-23197	5	22	,	,	PUNCT
brj-23197	5	23	picea	picea	NOUN
brj-23197	5	24	asperata	asperata	NOUN
brj-23197	5	25	,	,	PUNCT
brj-23197	5	26	and	and	CCONJ
brj-23197	5	27	fraxinus	fraxinus	PROPN
brj-23197	5	28	mandshurica	mandshurica	PROPN
brj-23197	5	29	)	)	PUNCT
brj-23197	5	30	at	at	ADP
brj-23197	5	31	different	different	ADJ
brj-23197	5	32	mcs	mcs	PROPN
brj-23197	5	33	.	.	PUNCT
brj-23197	6	1	during	during	ADP
brj-23197	6	2	the	the	DET
brj-23197	6	3	tdr	tdr	PROPN
brj-23197	6	4	test	test	NOUN
brj-23197	6	5	,	,	PUNCT
brj-23197	6	6	effects	effect	NOUN
brj-23197	6	7	of	of	ADP
brj-23197	6	8	probe	probe	NOUN
brj-23197	6	9	insertion	insertion	NOUN
brj-23197	6	10	depths	depth	NOUN
brj-23197	6	11	on	on	ADP
brj-23197	6	12	mc	mc	PROPN
brj-23197	6	13	predictive	predictive	ADJ
brj-23197	6	14	accuracy	accuracy	NOUN
brj-23197	6	15	were	be	AUX
brj-23197	6	16	considered	consider	VERB
brj-23197	6	17	.	.	PUNCT
brj-23197	7	1	the	the	DET
brj-23197	7	2	best	good	ADJ
brj-23197	7	3	results	result	NOUN
brj-23197	7	4	were	be	AUX
brj-23197	7	5	obtained	obtain	VERB
brj-23197	7	6	at	at	ADP
brj-23197	7	7	an	an	DET
brj-23197	7	8	insertion	insertion	NOUN
brj-23197	7	9	depth	depth	NOUN
brj-23197	7	10	of	of	ADP
brj-23197	7	11	8	8	NUM
brj-23197	7	12	cm	cm	NOUN
brj-23197	7	13	.	.	PUNCT
brj-23197	8	1	at	at	ADP
brj-23197	8	2	the	the	DET
brj-23197	8	3	selective	selective	ADJ
brj-23197	8	4	8	8	NUM
brj-23197	8	5	cm	cm	NOUN
brj-23197	8	6	insertion	insertion	NOUN
brj-23197	8	7	depth	depth	NOUN
brj-23197	8	8	,	,	PUNCT
brj-23197	8	9	a	a	DET
brj-23197	8	10	species	species	NOUN
brj-23197	8	11	-	-	PUNCT
brj-23197	8	12	specific	specific	ADJ
brj-23197	8	13	mc	mc	PROPN
brj-23197	8	14	prediction	prediction	NOUN
brj-23197	8	15	model	model	NOUN
brj-23197	8	16	(	(	PUNCT
brj-23197	8	17	0.94	0.94	NUM
brj-23197	8	18	≤	≤	NUM
brj-23197	8	19	r2	r2	NOUN
brj-23197	8	20	≤	≤	NUM
brj-23197	8	21	0.98	0.98	NUM
brj-23197	8	22	)	)	PUNCT
brj-23197	8	23	,	,	PUNCT
brj-23197	8	24	a	a	DET
brj-23197	8	25	generalized	generalized	ADJ
brj-23197	8	26	model	model	NOUN
brj-23197	8	27	for	for	ADP
brj-23197	8	28	the	the	DET
brj-23197	8	29	four	four	NUM
brj-23197	8	30	species	specie	NOUN
brj-23197	8	31	(	(	PUNCT
brj-23197	8	32	r2	r2	PROPN
brj-23197	8	33	=	=	SYM
brj-23197	8	34	0.65	0.65	NUM
brj-23197	8	35	)	)	PUNCT
brj-23197	8	36	,	,	PUNCT
brj-23197	8	37	and	and	CCONJ
brj-23197	8	38	a	a	DET
brj-23197	8	39	hybrid	hybrid	ADJ
brj-23197	8	40	model	model	NOUN
brj-23197	8	41	for	for	ADP
brj-23197	8	42	the	the	DET
brj-23197	8	43	species	specie	NOUN
brj-23197	8	44	with	with	ADP
brj-23197	8	45	similar	similar	ADJ
brj-23197	8	46	densities	density	NOUN
brj-23197	8	47	(	(	PUNCT
brj-23197	8	48	0.80	0.80	NUM
brj-23197	8	49	≤	≤	NUM
brj-23197	8	50	r2	r2	PROPN
brj-23197	8	51	≤	≤	ADV
brj-23197	8	52	0.96	0.96	NUM
brj-23197	8	53	)	)	PUNCT
brj-23197	8	54	were	be	AUX
brj-23197	8	55	constructed	construct	VERB
brj-23197	8	56	,	,	PUNCT
brj-23197	8	57	respectively	respectively	ADV
brj-23197	8	58	.	.	PUNCT
brj-23197	9	1	overall	overall	ADV
brj-23197	9	2	,	,	PUNCT
brj-23197	9	3	the	the	DET
brj-23197	9	4	species	species	NOUN
brj-23197	9	5	-	-	PUNCT
brj-23197	9	6	specific	specific	ADJ
brj-23197	9	7	mc	mc	PROPN
brj-23197	9	8	prediction	prediction	NOUN
brj-23197	9	9	model	model	NOUN
brj-23197	9	10	showed	show	VERB
brj-23197	9	11	good	good	ADJ
brj-23197	9	12	predictive	predictive	ADJ
brj-23197	9	13	ability	ability	NOUN
brj-23197	9	14	for	for	ADP
brj-23197	9	15	both	both	DET
brj-23197	9	16	tree	tree	NOUN
brj-23197	9	17	and	and	CCONJ
brj-23197	9	18	wood	wood	NOUN
brj-23197	9	19	disc	disc	NOUN
brj-23197	9	20	samples	sample	NOUN
brj-23197	9	21	,	,	PUNCT
brj-23197	9	22	including	include	VERB
brj-23197	9	23	that	that	SCONJ
brj-23197	9	24	tdr	tdr	PROPN
brj-23197	9	25	can	can	AUX
brj-23197	9	26	be	be	AUX
brj-23197	9	27	used	use	VERB
brj-23197	9	28	to	to	PART
brj-23197	9	29	detect	detect	VERB
brj-23197	9	30	wood	wood	NOUN
brj-23197	9	31	and	and	CCONJ
brj-23197	9	32	standing	stand	VERB
brj-23197	9	33	tree	tree	PROPN
brj-23197	9	34	mc	mc	PROPN
brj-23197	9	35	.	.	PUNCT
brj-23197	10	1	if	if	SCONJ
brj-23197	10	2	possible	possible	ADJ
brj-23197	10	3	,	,	PUNCT
brj-23197	10	4	the	the	DET
brj-23197	10	5	hybrid	hybrid	NOUN
brj-23197	10	6	model	model	NOUN
brj-23197	10	7	can	can	AUX
brj-23197	10	8	be	be	AUX
brj-23197	10	9	used	use	VERB
brj-23197	10	10	for	for	ADP
brj-23197	10	11	species	specie	NOUN
brj-23197	10	12	with	with	ADP
brj-23197	10	13	similar	similar	ADJ
brj-23197	10	14	density	density	NOUN
brj-23197	10	15	.	.	PUNCT
brj-23197	11	1	doi	doi	NOUN
brj-23197	11	2	:	:	PUNCT
brj-23197	11	3	10.15376	10.15376	NUM
brj-23197	11	4	/	/	SYM
brj-23197	11	5	biores.19.2.3001	biores.19.2.3001	PROPN
brj-23197	11	6	-	-	PUNCT
brj-23197	11	7	3009	3009	NUM
brj-23197	11	8	keywords	keyword	NOUN
brj-23197	11	9	:	:	PUNCT
brj-23197	11	10	time	time	NOUN
brj-23197	11	11	domain	domain	NOUN
brj-23197	11	12	reflectometry	reflectometry	NOUN
brj-23197	11	13	;	;	PUNCT
brj-23197	11	14	species	species	NOUN
brj-23197	11	15	-	-	PUNCT
brj-23197	11	16	specific	specific	ADJ
brj-23197	11	17	model	model	NOUN
brj-23197	11	18	;	;	PUNCT
brj-23197	11	19	moisture	moisture	NOUN
brj-23197	11	20	content	content	NOUN
brj-23197	11	21	;	;	PUNCT
brj-23197	11	22	wood	wood	NOUN
brj-23197	11	23	;	;	PUNCT
brj-23197	11	24	standing	stand	VERB
brj-23197	11	25	tree	tree	NOUN
brj-23197	11	26	contact	contact	NOUN
brj-23197	11	27	information	information	NOUN
brj-23197	11	28	:	:	PUNCT
brj-23197	11	29	northeast	northeast	ADJ
brj-23197	11	30	forestry	forestry	PROPN
brj-23197	11	31	university	university	PROPN
brj-23197	11	32	,	,	PUNCT
brj-23197	11	33	harbin	harbin	PROPN
brj-23197	11	34	,	,	PUNCT
brj-23197	11	35	china	china	PROPN
brj-23197	11	36	;	;	PUNCT
brj-23197	11	37	#	#	NOUN
brj-23197	11	38	these	these	DET
brj-23197	11	39	authors	author	NOUN
brj-23197	11	40	contributed	contribute	VERB
brj-23197	11	41	equally	equally	ADV
brj-23197	11	42	to	to	ADP
brj-23197	11	43	this	this	DET
brj-23197	11	44	work	work	NOUN
brj-23197	11	45	.	.	PUNCT
brj-23197	12	1	corresponding	correspond	VERB
brj-23197	12	2	author	author	NOUN
brj-23197	12	3	:	:	PUNCT
brj-23197	12	4	huadong	huadong	PROPN
brj-23197	12	5	xu	xu	INTJ
brj-23197	12	6	,	,	PUNCT
brj-23197	12	7	*	*	PUNCT
brj-23197	12	8	orcid	orcid	NOUN
brj-23197	12	9	0000	0000	NUM
brj-23197	12	10	-	-	PUNCT
brj-23197	12	11	0001	0001	NUM
brj-23197	12	12	-	-	PUNCT
brj-23197	12	13	6511	6511	NUM
brj-23197	12	14	-	-	PUNCT
brj-23197	12	15	3186	3186	NUM
brj-23197	12	16	,	,	PUNCT
brj-23197	12	17	huadongxu@nefu.edu.cn	huadongxu@nefu.edu.cn	NOUN
brj-23197	12	18	introduction	introduction	NOUN
brj-23197	12	19	time	time	NOUN
brj-23197	12	20	domain	domain	NOUN
brj-23197	12	21	reflectometry	reflectometry	NOUN
brj-23197	12	22	(	(	PUNCT
brj-23197	12	23	tdr	tdr	PROPN
brj-23197	12	24	)	)	PUNCT
brj-23197	12	25	is	be	AUX
brj-23197	12	26	an	an	DET
brj-23197	12	27	electronic	electronic	ADJ
brj-23197	12	28	measurement	measurement	NOUN
brj-23197	12	29	technique	technique	NOUN
brj-23197	12	30	that	that	PRON
brj-23197	12	31	measures	measure	VERB
brj-23197	12	32	electrical	electrical	ADJ
brj-23197	12	33	parameters	parameter	NOUN
brj-23197	12	34	such	such	ADJ
brj-23197	12	35	as	as	ADP
brj-23197	12	36	the	the	DET
brj-23197	12	37	dielectric	dielectric	ADJ
brj-23197	12	38	constant	constant	ADJ
brj-23197	12	39	and	and	CCONJ
brj-23197	12	40	resistivity	resistivity	NOUN
brj-23197	12	41	of	of	ADP
brj-23197	12	42	a	a	DET
brj-23197	12	43	medium	medium	NOUN
brj-23197	12	44	by	by	ADP
brj-23197	12	45	measuring	measure	VERB
brj-23197	12	46	the	the	DET
brj-23197	12	47	propagation	propagation	NOUN
brj-23197	12	48	time	time	NOUN
brj-23197	12	49	of	of	ADP
brj-23197	12	50	an	an	DET
brj-23197	12	51	electromagnetic	electromagnetic	ADJ
brj-23197	12	52	pulse	pulse	NOUN
brj-23197	12	53	(	(	PUNCT
brj-23197	12	54	hernández	hernández	PROPN
brj-23197	12	55	-	-	PUNCT
brj-23197	12	56	santana	santana	PROPN
brj-23197	12	57	et	et	PROPN
brj-23197	12	58	al	al	PROPN
brj-23197	12	59	.	.	PROPN
brj-23197	12	60	2008	2008	NUM
brj-23197	12	61	;	;	PUNCT
brj-23197	12	62	schimleck	schimleck	NOUN
brj-23197	12	63	et	et	PROPN
brj-23197	12	64	al	al	PROPN
brj-23197	12	65	.	.	PROPN
brj-23197	12	66	2011	2011	NUM
brj-23197	12	67	;	;	PUNCT
brj-23197	12	68	dahlen	dahlen	VERB
brj-23197	12	69	et	et	PROPN
brj-23197	12	70	al	al	PROPN
brj-23197	12	71	.	.	PROPN
brj-23197	12	72	2015	2015	NUM
brj-23197	12	73	)	)	PUNCT
brj-23197	12	74	.	.	PUNCT
brj-23197	13	1	as	as	ADP
brj-23197	13	2	a	a	DET
brj-23197	13	3	new	new	ADJ
brj-23197	13	4	detection	detection	NOUN
brj-23197	13	5	technology	technology	NOUN
brj-23197	13	6	,	,	PUNCT
brj-23197	13	7	tdr	tdr	PROPN
brj-23197	13	8	,	,	PUNCT
brj-23197	13	9	has	have	AUX
brj-23197	13	10	been	be	AUX
brj-23197	13	11	widely	widely	ADV
brj-23197	13	12	applied	apply	VERB
brj-23197	13	13	in	in	ADP
brj-23197	13	14	soil	soil	NOUN
brj-23197	13	15	mc	mc	PROPN
brj-23197	13	16	testing	testing	PROPN
brj-23197	13	17	.	.	PUNCT
brj-23197	14	1	because	because	SCONJ
brj-23197	14	2	the	the	DET
brj-23197	14	3	bulk	bulk	ADJ
brj-23197	14	4	permittivity	permittivity	NOUN
brj-23197	14	5	of	of	ADP
brj-23197	14	6	a	a	DET
brj-23197	14	7	composite	composite	ADJ
brj-23197	14	8	material	material	NOUN
brj-23197	14	9	(	(	PUNCT
brj-23197	14	10	e.g.	e.g.	ADV
brj-23197	14	11	,	,	PUNCT
brj-23197	14	12	a	a	DET
brj-23197	14	13	porous	porous	ADJ
brj-23197	14	14	medium	medium	NOUN
brj-23197	14	15	)	)	PUNCT
brj-23197	14	16	is	be	AUX
brj-23197	14	17	a	a	DET
brj-23197	14	18	composite	composite	ADJ
brj-23197	14	19	average	average	NOUN
brj-23197	14	20	of	of	ADP
brj-23197	14	21	the	the	DET
brj-23197	14	22	permittivity	permittivity	NOUN
brj-23197	14	23	of	of	ADP
brj-23197	14	24	the	the	DET
brj-23197	14	25	components	component	NOUN
brj-23197	14	26	in	in	ADP
brj-23197	14	27	the	the	DET
brj-23197	14	28	composite	composite	NOUN
brj-23197	14	29	,	,	PUNCT
brj-23197	14	30	it	it	PRON
brj-23197	14	31	is	be	AUX
brj-23197	14	32	usually	usually	ADV
brj-23197	14	33	simulated	simulate	VERB
brj-23197	14	34	by	by	ADP
brj-23197	14	35	a	a	DET
brj-23197	14	36	dielectric	dielectric	ADJ
brj-23197	14	37	mixing	mix	VERB
brj-23197	14	38	model	model	NOUN
brj-23197	14	39	.	.	PUNCT
brj-23197	15	1	water	water	NOUN
brj-23197	15	2	,	,	PUNCT
brj-23197	15	3	however	however	ADV
brj-23197	15	4	,	,	PUNCT
brj-23197	15	5	has	have	VERB
brj-23197	15	6	a	a	DET
brj-23197	15	7	high	high	ADJ
brj-23197	15	8	dielectric	dielectric	ADJ
brj-23197	15	9	constant	constant	ADJ
brj-23197	15	10	,	,	PUNCT
brj-23197	15	11	much	much	ADV
brj-23197	15	12	higher	high	ADJ
brj-23197	15	13	than	than	ADP
brj-23197	15	14	that	that	PRON
brj-23197	15	15	of	of	ADP
brj-23197	15	16	the	the	DET
brj-23197	15	17	other	other	ADJ
brj-23197	15	18	soil	soil	NOUN
brj-23197	15	19	components	component	NOUN
brj-23197	15	20	,	,	PUNCT
brj-23197	15	21	so	so	ADV
brj-23197	15	22	soil	soil	NOUN
brj-23197	15	23	mc	mc	PROPN
brj-23197	15	24	can	can	AUX
brj-23197	15	25	be	be	AUX
brj-23197	15	26	measured	measure	VERB
brj-23197	15	27	by	by	ADP
brj-23197	15	28	the	the	DET
brj-23197	15	29	reflected	reflect	VERB
brj-23197	15	30	signal	signal	NOUN
brj-23197	15	31	of	of	ADP
brj-23197	15	32	the	the	DET
brj-23197	15	33	tdr	tdr	PROPN
brj-23197	15	34	input	input	NOUN
brj-23197	15	35	transmission	transmission	NOUN
brj-23197	15	36	line	line	NOUN
brj-23197	15	37	pulse	pulse	NOUN
brj-23197	15	38	signal	signal	PROPN
brj-23197	15	39	(	(	PUNCT
brj-23197	15	40	jones	jones	PROPN
brj-23197	15	41	et	et	PROPN
brj-23197	15	42	al	al	PROPN
brj-23197	15	43	.	.	PROPN
brj-23197	15	44	2002	2002	NUM
brj-23197	15	45	)	)	PUNCT
brj-23197	15	46	.	.	PUNCT
brj-23197	16	1	theoretically	theoretically	ADV
brj-23197	16	2	,	,	PUNCT
brj-23197	16	3	tdr	tdr	PROPN
brj-23197	16	4	can	can	AUX
brj-23197	16	5	be	be	AUX
brj-23197	16	6	applied	apply	VERB
brj-23197	16	7	to	to	PART
brj-23197	16	8	monitor	monitor	VERB
brj-23197	16	9	mc	mc	PROPN
brj-23197	16	10	in	in	ADP
brj-23197	16	11	any	any	DET
brj-23197	16	12	porous	porous	ADJ
brj-23197	16	13	material	material	NOUN
brj-23197	16	14	,	,	PUNCT
brj-23197	16	15	such	such	ADJ
brj-23197	16	16	as	as	ADP
brj-23197	16	17	a	a	DET
brj-23197	16	18	standing	stand	VERB
brj-23197	16	19	tree	tree	NOUN
brj-23197	16	20	(	(	PUNCT
brj-23197	16	21	dahlen	dahlen	VERB
brj-23197	16	22	et	et	PROPN
brj-23197	16	23	al	al	PROPN
brj-23197	16	24	.	.	PROPN
brj-23197	16	25	2015	2015	NUM
brj-23197	16	26	)	)	PUNCT
brj-23197	16	27	.	.	PUNCT
brj-23197	17	1	a	a	DET
brj-23197	17	2	standing	stand	VERB
brj-23197	17	3	tree	tree	NOUN
brj-23197	17	4	can	can	AUX
brj-23197	17	5	be	be	AUX
brj-23197	17	6	regarded	regard	VERB
brj-23197	17	7	as	as	ADP
brj-23197	17	8	a	a	DET
brj-23197	17	9	three	three	NUM
brj-23197	17	10	-	-	PUNCT
brj-23197	17	11	phase	phase	NOUN
brj-23197	17	12	inhomogeneous	inhomogeneous	ADJ
brj-23197	17	13	system	system	NOUN
brj-23197	17	14	of	of	ADP
brj-23197	17	15	wood	wood	NOUN
brj-23197	17	16	-	-	PUNCT
brj-23197	17	17	water	water	NOUN
brj-23197	17	18	-	-	PUNCT
brj-23197	17	19	air	air	NOUN
brj-23197	17	20	,	,	PUNCT
brj-23197	17	21	and	and	CCONJ
brj-23197	17	22	at	at	ADP
brj-23197	17	23	room	room	NOUN
brj-23197	17	24	temperature	temperature	NOUN
brj-23197	17	25	the	the	DET
brj-23197	17	26	dielectric	dielectric	ADJ
brj-23197	17	27	constant	constant	ADJ
brj-23197	17	28	of	of	ADP
brj-23197	17	29	water	water	NOUN
brj-23197	17	30	(	(	PUNCT
brj-23197	17	31	80	80	NUM
brj-23197	17	32	)	)	PUNCT
brj-23197	17	33	is	be	AUX
brj-23197	17	34	much	much	ADV
brj-23197	17	35	higher	high	ADJ
brj-23197	17	36	than	than	ADP
brj-23197	17	37	that	that	PRON
brj-23197	17	38	of	of	ADP
brj-23197	17	39	dry	dry	ADJ
brj-23197	17	40	wood	wood	NOUN
brj-23197	17	41	(	(	PUNCT
brj-23197	17	42	2	2	NUM
brj-23197	17	43	to	to	PART
brj-23197	17	44	6	6	NUM
brj-23197	17	45	)	)	PUNCT
brj-23197	17	46	and	and	CCONJ
brj-23197	17	47	air	air	NOUN
brj-23197	17	48	(	(	PUNCT
brj-23197	17	49	1	1	NUM
brj-23197	17	50	)	)	PUNCT
brj-23197	17	51	,	,	PUNCT
brj-23197	17	52	making	make	VERB
brj-23197	17	53	the	the	DET
brj-23197	17	54	tdr	tdr	PROPN
brj-23197	17	55	also	also	ADV
brj-23197	17	56	suited	suit	VERB
brj-23197	17	57	for	for	ADP
brj-23197	17	58	measuring	measure	VERB
brj-23197	17	59	mc	mc	PROPN
brj-23197	17	60	in	in	ADP
brj-23197	17	61	trees	tree	NOUN
brj-23197	17	62	(	(	PUNCT
brj-23197	17	63	ishida	ishida	PROPN
brj-23197	17	64	et	et	PROPN
brj-23197	17	65	al	al	PROPN
brj-23197	17	66	.	.	PROPN
brj-23197	17	67	1959	1959	NUM
brj-23197	17	68	;	;	PUNCT
brj-23197	17	69	schimleck	schimleck	NOUN
brj-23197	17	70	et	et	PROPN
brj-23197	17	71	al	al	PROPN
brj-23197	17	72	.	.	PROPN
brj-23197	17	73	2011	2011	NUM
brj-23197	17	74	)	)	PUNCT
brj-23197	17	75	.	.	PUNCT
brj-23197	18	1	researchers	researcher	NOUN
brj-23197	18	2	have	have	AUX
brj-23197	18	3	been	be	AUX
brj-23197	18	4	working	work	VERB
brj-23197	18	5	to	to	PART
brj-23197	18	6	determine	determine	VERB
brj-23197	18	7	the	the	DET
brj-23197	18	8	feasibility	feasibility	NOUN
brj-23197	18	9	of	of	ADP
brj-23197	18	10	the	the	DET
brj-23197	18	11	tdr	tdr	PROPN
brj-23197	18	12	for	for	ADP
brj-23197	18	13	detecting	detect	VERB
brj-23197	18	14	mc	mc	PROPN
brj-23197	18	15	in	in	ADP
brj-23197	18	16	standing	stand	VERB
brj-23197	18	17	trees	tree	NOUN
brj-23197	18	18	.	.	PUNCT
brj-23197	19	1	in	in	ADP
brj-23197	19	2	1996	1996	NUM
brj-23197	19	3	,	,	PUNCT
brj-23197	19	4	wullschleger	wullschleg	ADJ
brj-23197	19	5	et	et	PROPN
brj-23197	19	6	al	al	PROPN
brj-23197	19	7	.	.	PROPN
brj-23197	19	8	used	use	VERB
brj-23197	19	9	tdr	tdr	PROPN
brj-23197	19	10	equipment	equipment	NOUN
brj-23197	19	11	to	to	ADP
brj-23197	19	12	peer	peer	NOUN
brj-23197	19	13	-	-	PUNCT
brj-23197	19	14	reviewed	review	VERB
brj-23197	19	15	article	article	NOUN
brj-23197	19	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	19	17	wang	wang	PROPN
brj-23197	19	18	et	et	PROPN
brj-23197	19	19	al	al	PROPN
brj-23197	19	20	.	.	PROPN
brj-23197	20	1	(	(	PUNCT
brj-23197	20	2	2024	2024	NUM
brj-23197	20	3	)	)	PUNCT
brj-23197	20	4	.	.	PUNCT
brj-23197	21	1	“	"	PUNCT
brj-23197	21	2	wood	wood	NOUN
brj-23197	21	3	moisture	moisture	NOUN
brj-23197	21	4	prediction	prediction	NOUN
brj-23197	21	5	,	,	PUNCT
brj-23197	21	6	”	"	PUNCT
brj-23197	21	7	bioresources	bioresource	NOUN
brj-23197	21	8	19(2	19(2	NUM
brj-23197	21	9	)	)	PUNCT
brj-23197	21	10	,	,	PUNCT
brj-23197	21	11	3001	3001	NUM
brj-23197	21	12	-	-	SYM
brj-23197	21	13	3009	3009	NUM
brj-23197	21	14	.	.	PUNCT
brj-23197	21	15	3002	3002	NUM
brj-23197	21	16	monitor	monitor	VERB
brj-23197	21	17	the	the	DET
brj-23197	21	18	mc	mc	PROPN
brj-23197	21	19	of	of	ADP
brj-23197	21	20	a	a	DET
brj-23197	21	21	total	total	NOUN
brj-23197	21	22	of	of	ADP
brj-23197	21	23	160	160	NUM
brj-23197	21	24	sample	sample	NOUN
brj-23197	21	25	trees	tree	NOUN
brj-23197	21	26	of	of	ADP
brj-23197	21	27	several	several	ADJ
brj-23197	21	28	hardwood	hardwood	NOUN
brj-23197	21	29	species	specie	NOUN
brj-23197	21	30	over	over	ADP
brj-23197	21	31	a	a	DET
brj-23197	21	32	long	long	ADJ
brj-23197	21	33	period	period	NOUN
brj-23197	21	34	of	of	ADP
brj-23197	21	35	time	time	NOUN
brj-23197	21	36	.	.	PUNCT
brj-23197	22	1	they	they	PRON
brj-23197	22	2	established	establish	VERB
brj-23197	22	3	a	a	DET
brj-23197	22	4	general	general	ADJ
brj-23197	22	5	calibration	calibration	NOUN
brj-23197	22	6	equation	equation	NOUN
brj-23197	22	7	for	for	ADP
brj-23197	22	8	mc	mc	PROPN
brj-23197	22	9	versus	versus	ADP
brj-23197	22	10	dielectric	dielectric	ADJ
brj-23197	22	11	constant	constant	ADJ
brj-23197	22	12	,	,	PUNCT
brj-23197	22	13	where	where	SCONJ
brj-23197	22	14	r2	r2	PROPN
brj-23197	22	15	=	=	NOUN
brj-23197	22	16	0.89	0.89	NUM
brj-23197	22	17	(	(	PUNCT
brj-23197	22	18	gao	gao	PROPN
brj-23197	22	19	et	et	PROPN
brj-23197	22	20	al	al	PROPN
brj-23197	22	21	.	.	PROPN
brj-23197	22	22	2019	2019	NUM
brj-23197	22	23	;	;	PUNCT
brj-23197	22	24	he	he	PRON
brj-23197	22	25	et	et	PROPN
brj-23197	22	26	al	al	PROPN
brj-23197	22	27	.	.	PROPN
brj-23197	22	28	2021	2021	NUM
brj-23197	22	29	)	)	PUNCT
brj-23197	22	30	.	.	PUNCT
brj-23197	23	1	schimleck	schimleck	PROPN
brj-23197	23	2	et	et	PROPN
brj-23197	23	3	al	al	PROPN
brj-23197	23	4	.	.	PROPN
brj-23197	24	1	(	(	PUNCT
brj-23197	24	2	2011	2011	NUM
brj-23197	24	3	)	)	PUNCT
brj-23197	24	4	investigated	investigate	VERB
brj-23197	24	5	the	the	DET
brj-23197	24	6	effect	effect	NOUN
brj-23197	24	7	of	of	ADP
brj-23197	24	8	irrigation	irrigation	NOUN
brj-23197	24	9	and	and	CCONJ
brj-23197	24	10	other	other	ADJ
brj-23197	24	11	storage	storage	NOUN
brj-23197	24	12	or	or	CCONJ
brj-23197	24	13	environmental	environmental	ADJ
brj-23197	24	14	factors	factor	NOUN
brj-23197	24	15	on	on	ADP
brj-23197	24	16	mc	mc	PROPN
brj-23197	24	17	of	of	ADP
brj-23197	24	18	wet	wet	NOUN
brj-23197	24	19	-	-	PUNCT
brj-23197	24	20	stored	store	VERB
brj-23197	24	21	logs	log	NOUN
brj-23197	24	22	using	use	VERB
brj-23197	24	23	tdr	tdr	PROPN
brj-23197	24	24	equipment	equipment	NOUN
brj-23197	24	25	to	to	PART
brj-23197	24	26	continuously	continuously	ADV
brj-23197	24	27	monitor	monitor	VERB
brj-23197	24	28	wet	wet	ADJ
brj-23197	24	29	-	-	PUNCT
brj-23197	24	30	stored	store	VERB
brj-23197	24	31	logs	log	NOUN
brj-23197	24	32	,	,	PUNCT
brj-23197	24	33	demonstrating	demonstrate	VERB
brj-23197	24	34	that	that	SCONJ
brj-23197	24	35	tdr	tdr	PROPN
brj-23197	24	36	can	can	AUX
brj-23197	24	37	accurately	accurately	ADV
brj-23197	24	38	respond	respond	VERB
brj-23197	24	39	to	to	ADP
brj-23197	24	40	changes	change	NOUN
brj-23197	24	41	in	in	ADP
brj-23197	24	42	mc	mc	PROPN
brj-23197	24	43	.	.	PUNCT
brj-23197	25	1	while	while	SCONJ
brj-23197	25	2	each	each	PRON
brj-23197	25	3	of	of	ADP
brj-23197	25	4	these	these	DET
brj-23197	25	5	studies	study	NOUN
brj-23197	25	6	showed	show	VERB
brj-23197	25	7	potential	potential	NOUN
brj-23197	25	8	for	for	ADP
brj-23197	25	9	tdr	tdr	PROPN
brj-23197	25	10	as	as	ADP
brj-23197	25	11	a	a	DET
brj-23197	25	12	means	means	NOUN
brj-23197	25	13	of	of	ADP
brj-23197	25	14	measuring	measure	VERB
brj-23197	25	15	mc	mc	PROPN
brj-23197	25	16	in	in	ADP
brj-23197	25	17	standing	stand	VERB
brj-23197	25	18	trees	tree	NOUN
brj-23197	25	19	,	,	PUNCT
brj-23197	25	20	it	it	PRON
brj-23197	25	21	should	should	AUX
brj-23197	25	22	be	be	AUX
brj-23197	25	23	noted	note	VERB
brj-23197	25	24	that	that	SCONJ
brj-23197	25	25	probe	probe	NOUN
brj-23197	25	26	length	length	NOUN
brj-23197	25	27	can	can	AUX
brj-23197	25	28	have	have	VERB
brj-23197	25	29	an	an	DET
brj-23197	25	30	impact	impact	NOUN
brj-23197	25	31	on	on	ADP
brj-23197	25	32	the	the	DET
brj-23197	25	33	results	result	NOUN
brj-23197	25	34	in	in	ADP
brj-23197	25	35	different	different	ADJ
brj-23197	25	36	experiments	experiment	NOUN
brj-23197	25	37	.	.	PUNCT
brj-23197	26	1	in	in	ADP
brj-23197	26	2	most	most	ADJ
brj-23197	26	3	studies	study	NOUN
brj-23197	26	4	,	,	PUNCT
brj-23197	26	5	the	the	DET
brj-23197	26	6	probe	probe	NOUN
brj-23197	26	7	length	length	NOUN
brj-23197	26	8	of	of	ADP
brj-23197	26	9	the	the	DET
brj-23197	26	10	tdr	tdr	PROPN
brj-23197	26	11	equipment	equipment	NOUN
brj-23197	26	12	ranged	range	VERB
brj-23197	26	13	from	from	ADP
brj-23197	26	14	2	2	NUM
brj-23197	26	15	to	to	ADP
brj-23197	26	16	20	20	NUM
brj-23197	26	17	cm	cm	NOUN
brj-23197	26	18	)	)	PUNCT
brj-23197	27	1	(	(	PUNCT
brj-23197	27	2	xu	xu	INTJ
brj-23197	27	3	and	and	CCONJ
brj-23197	27	4	wang	wang	PROPN
brj-23197	27	5	2014	2014	NUM
brj-23197	27	6	)	)	PUNCT
brj-23197	27	7	.	.	PUNCT
brj-23197	28	1	probe	probe	PROPN
brj-23197	28	2	length	length	NOUN
brj-23197	28	3	affects	affect	VERB
brj-23197	28	4	the	the	DET
brj-23197	28	5	effectiveness	effectiveness	NOUN
brj-23197	28	6	of	of	ADP
brj-23197	28	7	the	the	DET
brj-23197	28	8	detection	detection	NOUN
brj-23197	28	9	,	,	PUNCT
brj-23197	28	10	with	with	ADP
brj-23197	28	11	long	long	ADJ
brj-23197	28	12	probes	probe	NOUN
brj-23197	28	13	resulting	result	VERB
brj-23197	28	14	in	in	ADP
brj-23197	28	15	signal	signal	ADJ
brj-23197	28	16	attenuation	attenuation	NOUN
brj-23197	28	17	and	and	CCONJ
brj-23197	28	18	short	short	ADJ
brj-23197	28	19	probes	probe	NOUN
brj-23197	28	20	resulting	result	VERB
brj-23197	28	21	in	in	ADP
brj-23197	28	22	lower	low	ADJ
brj-23197	28	23	signal	signal	NOUN
brj-23197	28	24	resolution	resolution	NOUN
brj-23197	28	25	(	(	PUNCT
brj-23197	28	26	guo	guo	PROPN
brj-23197	28	27	et	et	PROPN
brj-23197	28	28	al	al	PROPN
brj-23197	28	29	.	.	PROPN
brj-23197	28	30	2023	2023	NUM
brj-23197	28	31	;	;	PUNCT
brj-23197	29	1	he	he	PRON
brj-23197	29	2	et	et	PROPN
brj-23197	29	3	al	al	PROPN
brj-23197	29	4	.	.	PROPN
brj-23197	29	5	2021	2021	NUM
brj-23197	29	6	;	;	PUNCT
brj-23197	29	7	jones	jones	PROPN
brj-23197	29	8	et	et	PROPN
brj-23197	29	9	al	al	PROPN
brj-23197	29	10	.	.	PROPN
brj-23197	29	11	2002	2002	NUM
brj-23197	29	12	;	;	PUNCT
brj-23197	29	13	schimleck	schimleck	NOUN
brj-23197	29	14	et	et	PROPN
brj-23197	29	15	al	al	PROPN
brj-23197	29	16	.	.	PROPN
brj-23197	29	17	2011	2011	NUM
brj-23197	29	18	)	)	PUNCT
brj-23197	29	19	.	.	PUNCT
brj-23197	30	1	in	in	ADP
brj-23197	30	2	order	order	NOUN
brj-23197	30	3	to	to	PART
brj-23197	30	4	accurately	accurately	ADV
brj-23197	30	5	use	use	VERB
brj-23197	30	6	tdr	tdr	NOUN
brj-23197	30	7	to	to	PART
brj-23197	30	8	detect	detect	VERB
brj-23197	30	9	trunk	trunk	NOUN
brj-23197	30	10	mc	mc	PROPN
brj-23197	30	11	,	,	PUNCT
brj-23197	30	12	a	a	DET
brj-23197	30	13	probe	probe	NOUN
brj-23197	30	14	of	of	ADP
brj-23197	30	15	at	at	ADV
brj-23197	30	16	least	least	ADV
brj-23197	30	17	10	10	NUM
brj-23197	30	18	cm	cm	NOUN
brj-23197	30	19	needs	need	VERB
brj-23197	30	20	to	to	PART
brj-23197	30	21	be	be	AUX
brj-23197	30	22	used	use	VERB
brj-23197	30	23	.	.	PUNCT
brj-23197	31	1	however	however	ADV
brj-23197	31	2	,	,	PUNCT
brj-23197	31	3	tdr	tdr	PROPN
brj-23197	31	4	probe	probe	NOUN
brj-23197	31	5	lengths	length	NOUN
brj-23197	31	6	can	can	AUX
brj-23197	31	7	be	be	AUX
brj-23197	31	8	limited	limit	VERB
brj-23197	31	9	by	by	ADP
brj-23197	31	10	trunk	trunk	NOUN
brj-23197	31	11	diameter	diameter	NOUN
brj-23197	31	12	,	,	PUNCT
brj-23197	31	13	and	and	CCONJ
brj-23197	31	14	long	long	ADJ
brj-23197	31	15	probes	probe	NOUN
brj-23197	31	16	are	be	AUX
brj-23197	31	17	difficult	difficult	ADJ
brj-23197	31	18	to	to	PART
brj-23197	31	19	insert	insert	VERB
brj-23197	31	20	into	into	ADP
brj-23197	31	21	the	the	DET
brj-23197	31	22	trunk	trunk	NOUN
brj-23197	31	23	.	.	PUNCT
brj-23197	32	1	existing	exist	VERB
brj-23197	32	2	calibration	calibration	NOUN
brj-23197	32	3	equations	equation	NOUN
brj-23197	32	4	may	may	AUX
brj-23197	32	5	not	not	PART
brj-23197	32	6	apply	apply	VERB
brj-23197	32	7	if	if	SCONJ
brj-23197	32	8	measurements	measurement	NOUN
brj-23197	32	9	are	be	AUX
brj-23197	32	10	made	make	VERB
brj-23197	32	11	with	with	ADP
brj-23197	32	12	short	short	ADJ
brj-23197	32	13	probes	probe	NOUN
brj-23197	32	14	(	(	PUNCT
brj-23197	32	15	gao	gao	PROPN
brj-23197	32	16	et	et	PROPN
brj-23197	32	17	al	al	PROPN
brj-23197	32	18	.	.	PROPN
brj-23197	32	19	2019	2019	NUM
brj-23197	32	20	)	)	PUNCT
brj-23197	32	21	.	.	PUNCT
brj-23197	33	1	therefore	therefore	ADV
brj-23197	33	2	,	,	PUNCT
brj-23197	33	3	in	in	ADP
brj-23197	33	4	order	order	NOUN
brj-23197	33	5	to	to	PART
brj-23197	33	6	implement	implement	VERB
brj-23197	33	7	tdr	tdr	PROPN
brj-23197	33	8	as	as	ADP
brj-23197	33	9	a	a	DET
brj-23197	33	10	basis	basis	NOUN
brj-23197	33	11	for	for	ADP
brj-23197	33	12	monitoring	monitor	VERB
brj-23197	33	13	standing	standing	NOUN
brj-23197	33	14	trees	tree	NOUN
brj-23197	33	15	mc	mc	PROPN
brj-23197	33	16	,	,	PUNCT
brj-23197	33	17	it	it	PRON
brj-23197	33	18	was	be	AUX
brj-23197	33	19	first	first	ADV
brj-23197	33	20	necessary	necessary	ADJ
brj-23197	33	21	to	to	PART
brj-23197	33	22	determine	determine	VERB
brj-23197	33	23	what	what	PRON
brj-23197	33	24	probe	probe	NOUN
brj-23197	33	25	length	length	NOUN
brj-23197	33	26	is	be	AUX
brj-23197	33	27	the	the	DET
brj-23197	33	28	most	most	ADV
brj-23197	33	29	conducive	conducive	ADJ
brj-23197	33	30	for	for	ADP
brj-23197	33	31	predicting	predict	VERB
brj-23197	33	32	mc	mc	PROPN
brj-23197	33	33	and	and	CCONJ
brj-23197	33	34	carry	carry	VERB
brj-23197	33	35	out	out	ADP
brj-23197	33	36	a	a	DET
brj-23197	33	37	calibration	calibration	NOUN
brj-23197	33	38	study	study	NOUN
brj-23197	33	39	(	(	PUNCT
brj-23197	33	40	castiglione	castiglione	NOUN
brj-23197	33	41	et	et	PROPN
brj-23197	33	42	al	al	PROPN
brj-23197	33	43	.	.	PROPN
brj-23197	33	44	2006	2006	NUM
brj-23197	33	45	)	)	PUNCT
brj-23197	33	46	.	.	PUNCT
brj-23197	34	1	the	the	DET
brj-23197	34	2	aim	aim	NOUN
brj-23197	34	3	of	of	ADP
brj-23197	34	4	this	this	DET
brj-23197	34	5	study	study	NOUN
brj-23197	34	6	was	be	AUX
brj-23197	34	7	to	to	PART
brj-23197	34	8	attempt	attempt	VERB
brj-23197	34	9	to	to	PART
brj-23197	34	10	establish	establish	VERB
brj-23197	34	11	a	a	DET
brj-23197	34	12	species	species	NOUN
brj-23197	34	13	-	-	PUNCT
brj-23197	34	14	specific	specific	ADJ
brj-23197	34	15	mc	mc	PROPN
brj-23197	34	16	prediction	prediction	NOUN
brj-23197	34	17	model	model	NOUN
brj-23197	34	18	to	to	PART
brj-23197	34	19	accurately	accurately	ADV
brj-23197	34	20	monitor	monitor	VERB
brj-23197	34	21	standing	stand	VERB
brj-23197	34	22	trees	tree	NOUN
brj-23197	34	23	mc	mc	PROPN
brj-23197	34	24	in	in	ADP
brj-23197	34	25	real	real	ADJ
brj-23197	34	26	time	time	NOUN
brj-23197	34	27	using	use	VERB
brj-23197	34	28	tdr	tdr	PROPN
brj-23197	34	29	,	,	PUNCT
brj-23197	34	30	on	on	ADP
brj-23197	34	31	the	the	DET
brj-23197	34	32	basis	basis	NOUN
brj-23197	34	33	of	of	ADP
brj-23197	34	34	analyzing	analyze	VERB
brj-23197	34	35	effects	effect	NOUN
brj-23197	34	36	of	of	ADP
brj-23197	34	37	different	different	ADJ
brj-23197	34	38	probes	probe	NOUN
brj-23197	34	39	insertion	insertion	NOUN
brj-23197	34	40	depths	depth	NOUN
brj-23197	34	41	and	and	CCONJ
brj-23197	34	42	mcs	mcs	PROPN
brj-23197	34	43	on	on	ADP
brj-23197	34	44	the	the	DET
brj-23197	34	45	test	test	NOUN
brj-23197	34	46	results	result	NOUN
brj-23197	34	47	,	,	PUNCT
brj-23197	34	48	which	which	PRON
brj-23197	34	49	may	may	AUX
brj-23197	34	50	provide	provide	VERB
brj-23197	34	51	data	data	NOUN
brj-23197	34	52	support	support	NOUN
brj-23197	34	53	for	for	ADP
brj-23197	34	54	estimating	estimate	VERB
brj-23197	34	55	the	the	DET
brj-23197	34	56	mc	mc	PROPN
brj-23197	34	57	of	of	ADP
brj-23197	34	58	all	all	DET
brj-23197	34	59	tree	tree	NOUN
brj-23197	34	60	species	specie	NOUN
brj-23197	34	61	.	.	PUNCT
brj-23197	35	1	experimental	experimental	ADJ
brj-23197	35	2	materials	material	NOUN
brj-23197	35	3	four	four	NUM
brj-23197	35	4	tree	tree	NOUN
brj-23197	35	5	species	specie	NOUN
brj-23197	35	6	,	,	PUNCT
brj-23197	35	7	betula	betula	ADJ
brj-23197	35	8	platyphylla	platyphylla	PROPN
brj-23197	35	9	,	,	PUNCT
brj-23197	35	10	tilia	tilia	PROPN
brj-23197	35	11	tuan	tuan	PROPN
brj-23197	35	12	,	,	PUNCT
brj-23197	35	13	picea	picea	NOUN
brj-23197	35	14	asperata	asperata	NOUN
brj-23197	35	15	,	,	PUNCT
brj-23197	35	16	and	and	CCONJ
brj-23197	35	17	fraxinus	fraxinus	PROPN
brj-23197	35	18	mandshurica	mandshurica	PROPN
brj-23197	35	19	were	be	AUX
brj-23197	35	20	used	use	VERB
brj-23197	35	21	in	in	ADP
brj-23197	35	22	this	this	DET
brj-23197	35	23	study	study	NOUN
brj-23197	35	24	.	.	PUNCT
brj-23197	36	1	all	all	DET
brj-23197	36	2	samples	sample	NOUN
brj-23197	36	3	were	be	AUX
brj-23197	36	4	obtained	obtain	VERB
brj-23197	36	5	from	from	ADP
brj-23197	36	6	yichun	yichun	PROPN
brj-23197	36	7	city	city	PROPN
brj-23197	36	8	,	,	PUNCT
brj-23197	36	9	heilongjiang	heilongjiang	PROPN
brj-23197	36	10	province	province	PROPN
brj-23197	36	11	,	,	PUNCT
brj-23197	36	12	china	china	PROPN
brj-23197	36	13	.	.	PUNCT
brj-23197	37	1	standing	stand	VERB
brj-23197	37	2	trees	tree	NOUN
brj-23197	37	3	with	with	ADP
brj-23197	37	4	a	a	DET
brj-23197	37	5	diameter	diameter	NOUN
brj-23197	37	6	at	at	ADP
brj-23197	37	7	breast	breast	NOUN
brj-23197	37	8	height	height	NOUN
brj-23197	37	9	of	of	ADP
brj-23197	37	10	120	120	NUM
brj-23197	37	11	to	to	PART
brj-23197	37	12	160	160	NUM
brj-23197	37	13	mm	mm	NOUN
brj-23197	37	14	were	be	AUX
brj-23197	37	15	selected	select	VERB
brj-23197	37	16	from	from	ADP
brj-23197	37	17	sample	sample	NOUN
brj-23197	37	18	plots	plot	NOUN
brj-23197	37	19	of	of	ADP
brj-23197	37	20	an	an	DET
brj-23197	37	21	artificial	artificial	ADJ
brj-23197	37	22	forest	forest	NOUN
brj-23197	37	23	aged	age	VERB
brj-23197	37	24	30	30	NUM
brj-23197	37	25	to	to	PART
brj-23197	37	26	50	50	NUM
brj-23197	37	27	years	year	NOUN
brj-23197	37	28	,	,	PUNCT
brj-23197	37	29	25	25	NUM
brj-23197	37	30	trees	tree	NOUN
brj-23197	37	31	of	of	ADP
brj-23197	37	32	each	each	DET
brj-23197	37	33	species	specie	NOUN
brj-23197	37	34	.	.	PUNCT
brj-23197	38	1	then	then	ADV
brj-23197	38	2	,	,	PUNCT
brj-23197	38	3	for	for	ADP
brj-23197	38	4	each	each	DET
brj-23197	38	5	tree	tree	NOUN
brj-23197	38	6	species	specie	NOUN
brj-23197	38	7	,	,	PUNCT
brj-23197	38	8	five	five	NUM
brj-23197	38	9	wood	wood	NOUN
brj-23197	38	10	disks	disk	NOUN
brj-23197	38	11	with	with	ADP
brj-23197	38	12	a	a	DET
brj-23197	38	13	thickness	thickness	NOUN
brj-23197	38	14	of	of	ADP
brj-23197	38	15	50	50	NUM
brj-23197	38	16	mm	mm	NOUN
brj-23197	38	17	at	at	ADP
brj-23197	38	18	breast	breast	NOUN
brj-23197	38	19	diameter	diameter	NOUN
brj-23197	38	20	were	be	AUX
brj-23197	38	21	selected	select	VERB
brj-23197	38	22	for	for	ADP
brj-23197	38	23	indoor	indoor	ADJ
brj-23197	38	24	experiments	experiment	NOUN
brj-23197	38	25	,	,	PUNCT
brj-23197	38	26	and	and	CCONJ
brj-23197	38	27	the	the	DET
brj-23197	38	28	rest	rest	NOUN
brj-23197	38	29	of	of	ADP
brj-23197	38	30	the	the	DET
brj-23197	38	31	standing	stand	VERB
brj-23197	38	32	trees	tree	NOUN
brj-23197	38	33	were	be	AUX
brj-23197	38	34	used	use	VERB
brj-23197	38	35	for	for	ADP
brj-23197	38	36	outdoor	outdoor	ADJ
brj-23197	38	37	experiments	experiment	NOUN
brj-23197	38	38	.	.	PUNCT
brj-23197	39	1	methods	method	NOUN
brj-23197	39	2	fresh	fresh	ADJ
brj-23197	39	3	wood	wood	NOUN
brj-23197	39	4	discs	disc	NOUN
brj-23197	39	5	were	be	AUX
brj-23197	39	6	stored	store	VERB
brj-23197	39	7	in	in	ADP
brj-23197	39	8	a	a	DET
brj-23197	39	9	refrigerator	refrigerator	NOUN
brj-23197	39	10	at	at	ADP
brj-23197	39	11	-5	-5	NOUN
brj-23197	39	12	°	°	NOUN
brj-23197	39	13	c	c	NOUN
brj-23197	39	14	,	,	PUNCT
brj-23197	39	15	from	from	ADP
brj-23197	39	16	which	which	PRON
brj-23197	39	17	all	all	DET
brj-23197	39	18	samples	sample	NOUN
brj-23197	39	19	of	of	ADP
brj-23197	39	20	one	one	NUM
brj-23197	39	21	species	specie	NOUN
brj-23197	39	22	were	be	AUX
brj-23197	39	23	taken	take	VERB
brj-23197	39	24	at	at	ADP
brj-23197	39	25	a	a	DET
brj-23197	39	26	time	time	NOUN
brj-23197	39	27	for	for	ADP
brj-23197	39	28	the	the	DET
brj-23197	39	29	experiment	experiment	NOUN
brj-23197	39	30	.	.	PUNCT
brj-23197	40	1	firstly	firstly	ADV
brj-23197	40	2	,	,	PUNCT
brj-23197	40	3	the	the	DET
brj-23197	40	4	disc	disc	NOUN
brj-23197	40	5	samples	sample	NOUN
brj-23197	40	6	were	be	AUX
brj-23197	40	7	taken	take	VERB
brj-23197	40	8	and	and	CCONJ
brj-23197	40	9	placed	place	VERB
brj-23197	40	10	in	in	ADP
brj-23197	40	11	a	a	DET
brj-23197	40	12	cool	cool	ADJ
brj-23197	40	13	place	place	NOUN
brj-23197	40	14	to	to	ADP
brj-23197	40	15	thaw	thaw	NOUN
brj-23197	40	16	for	for	SCONJ
brj-23197	40	17	24	24	NUM
brj-23197	40	18	h.	h.	NOUN
brj-23197	40	19	wood	wood	NOUN
brj-23197	40	20	samples	sample	NOUN
brj-23197	40	21	were	be	AUX
brj-23197	40	22	hydrated	hydrated	ADJ
brj-23197	40	23	in	in	ADP
brj-23197	40	24	a	a	DET
brj-23197	40	25	saturation	saturation	NOUN
brj-23197	40	26	tank	tank	NOUN
brj-23197	40	27	for	for	ADP
brj-23197	40	28	one	one	NUM
brj-23197	40	29	month	month	NOUN
brj-23197	40	30	prior	prior	ADV
brj-23197	40	31	to	to	ADP
brj-23197	40	32	the	the	DET
brj-23197	40	33	start	start	NOUN
brj-23197	40	34	of	of	ADP
brj-23197	40	35	the	the	DET
brj-23197	40	36	experiment	experiment	NOUN
brj-23197	40	37	.	.	PUNCT
brj-23197	41	1	following	follow	VERB
brj-23197	41	2	saturation	saturation	NOUN
brj-23197	41	3	,	,	PUNCT
brj-23197	41	4	wood	wood	NOUN
brj-23197	41	5	sample	sample	NOUN
brj-23197	41	6	weight	weight	NOUN
brj-23197	41	7	was	be	AUX
brj-23197	41	8	measured	measure	VERB
brj-23197	41	9	.	.	PUNCT
brj-23197	42	1	then	then	ADV
brj-23197	42	2	,	,	PUNCT
brj-23197	42	3	two	two	NUM
brj-23197	42	4	small	small	ADJ
brj-23197	42	5	holes	hole	NOUN
brj-23197	42	6	with	with	ADP
brj-23197	42	7	a	a	DET
brj-23197	42	8	depth	depth	NOUN
brj-23197	42	9	of	of	ADP
brj-23197	42	10	120	120	NUM
brj-23197	42	11	mm	mm	NOUN
brj-23197	42	12	were	be	AUX
brj-23197	42	13	drilled	drill	VERB
brj-23197	42	14	at	at	ADP
brj-23197	42	15	the	the	DET
brj-23197	42	16	middle	middle	ADJ
brj-23197	42	17	height	height	NOUN
brj-23197	42	18	of	of	ADP
brj-23197	42	19	the	the	DET
brj-23197	42	20	disk	disk	NOUN
brj-23197	42	21	using	use	VERB
brj-23197	42	22	an	an	DET
brj-23197	42	23	electric	electric	ADJ
brj-23197	42	24	drill	drill	NOUN
brj-23197	42	25	,	,	PUNCT
brj-23197	42	26	with	with	ADP
brj-23197	42	27	the	the	DET
brj-23197	42	28	diameter	diameter	NOUN
brj-23197	42	29	(	(	PUNCT
brj-23197	42	30	3.5	3.5	NUM
brj-23197	42	31	mm	mm	NOUN
brj-23197	42	32	)	)	PUNCT
brj-23197	42	33	and	and	CCONJ
brj-23197	42	34	spacing	space	VERB
brj-23197	42	35	(	(	PUNCT
brj-23197	42	36	30	30	NUM
brj-23197	42	37	mm	mm	NOUN
brj-23197	42	38	)	)	PUNCT
brj-23197	42	39	of	of	ADP
brj-23197	42	40	the	the	DET
brj-23197	42	41	holes	hole	NOUN
brj-23197	42	42	matching	match	VERB
brj-23197	42	43	the	the	DET
brj-23197	42	44	diameter	diameter	NOUN
brj-23197	42	45	and	and	CCONJ
brj-23197	42	46	spacing	spacing	NOUN
brj-23197	42	47	of	of	ADP
brj-23197	42	48	the	the	DET
brj-23197	42	49	two	two	NUM
brj-23197	42	50	probes	probe	NOUN
brj-23197	42	51	of	of	ADP
brj-23197	42	52	tdr	tdr	PROPN
brj-23197	42	53	,	,	PUNCT
brj-23197	42	54	and	and	CCONJ
brj-23197	42	55	probe	probe	NOUN
brj-23197	42	56	orientation	orientation	NOUN
brj-23197	42	57	was	be	AUX
brj-23197	42	58	parallel	parallel	ADJ
brj-23197	42	59	to	to	ADP
brj-23197	42	60	the	the	DET
brj-23197	42	61	grain	grain	NOUN
brj-23197	42	62	.	.	PUNCT
brj-23197	43	1	the	the	DET
brj-23197	43	2	tdr	tdr	PROPN
brj-23197	43	3	equipment	equipment	NOUN
brj-23197	43	4	used	use	VERB
brj-23197	43	5	for	for	ADP
brj-23197	43	6	the	the	DET
brj-23197	43	7	experiment	experiment	NOUN
brj-23197	43	8	was	be	AUX
brj-23197	43	9	a	a	DET
brj-23197	43	10	cs616	cs616	PROPN
brj-23197	43	11	moisture	moisture	NOUN
brj-23197	43	12	sensor	sensor	NOUN
brj-23197	43	13	(	(	PUNCT
brj-23197	43	14	double	double	ADJ
brj-23197	43	15	probe	probe	NOUN
brj-23197	43	16	,	,	PUNCT
brj-23197	43	17	30	30	NUM
brj-23197	43	18	cm	cm	NOUN
brj-23197	43	19	long	long	ADV
brj-23197	43	20	)	)	PUNCT
brj-23197	43	21	and	and	CCONJ
brj-23197	43	22	cr800	cr800	PROPN
brj-23197	43	23	data	data	NOUN
brj-23197	43	24	collector	collector	NOUN
brj-23197	43	25	(	(	PUNCT
brj-23197	43	26	fig.1	fig.1	PROPN
brj-23197	43	27	)	)	PUNCT
brj-23197	43	28	.	.	PUNCT
brj-23197	44	1	once	once	SCONJ
brj-23197	44	2	the	the	DET
brj-23197	44	3	holes	hole	NOUN
brj-23197	44	4	were	be	AUX
brj-23197	44	5	drilled	drill	VERB
brj-23197	44	6	,	,	PUNCT
brj-23197	44	7	the	the	DET
brj-23197	44	8	double	double	ADJ
brj-23197	44	9	probe	probe	NOUN
brj-23197	44	10	was	be	AUX
brj-23197	44	11	inserted	insert	VERB
brj-23197	44	12	,	,	PUNCT
brj-23197	44	13	the	the	DET
brj-23197	44	14	insertion	insertion	NOUN
brj-23197	44	15	depth	depth	NOUN
brj-23197	44	16	was	be	AUX
brj-23197	44	17	increased	increase	VERB
brj-23197	44	18	sequentially	sequentially	ADV
brj-23197	44	19	(	(	PUNCT
brj-23197	44	20	4	4	NUM
brj-23197	44	21	,	,	PUNCT
brj-23197	44	22	6	6	NUM
brj-23197	44	23	,	,	PUNCT
brj-23197	44	24	8	8	NUM
brj-23197	44	25	,	,	PUNCT
brj-23197	44	26	10	10	NUM
brj-23197	44	27	,	,	PUNCT
brj-23197	44	28	and	and	CCONJ
brj-23197	44	29	12	12	NUM
brj-23197	44	30	cm	cm	NOUN
brj-23197	44	31	)	)	PUNCT
brj-23197	44	32	,	,	PUNCT
brj-23197	44	33	and	and	CCONJ
brj-23197	44	34	the	the	DET
brj-23197	44	35	first	first	ADJ
brj-23197	44	36	waveform	waveform	NOUN
brj-23197	44	37	readings	reading	NOUN
brj-23197	44	38	were	be	AUX
brj-23197	44	39	taken	take	VERB
brj-23197	44	40	peer	peer	NOUN
brj-23197	44	41	-	-	PUNCT
brj-23197	44	42	reviewed	review	VERB
brj-23197	44	43	article	article	NOUN
brj-23197	44	44	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	44	45	wang	wang	PROPN
brj-23197	44	46	et	et	PROPN
brj-23197	44	47	al	al	PROPN
brj-23197	44	48	.	.	PROPN
brj-23197	45	1	(	(	PUNCT
brj-23197	45	2	2024	2024	NUM
brj-23197	45	3	)	)	PUNCT
brj-23197	45	4	.	.	PUNCT
brj-23197	46	1	“	"	PUNCT
brj-23197	46	2	wood	wood	NOUN
brj-23197	46	3	moisture	moisture	NOUN
brj-23197	46	4	prediction	prediction	NOUN
brj-23197	46	5	,	,	PUNCT
brj-23197	46	6	”	"	PUNCT
brj-23197	46	7	bioresources	bioresource	NOUN
brj-23197	46	8	19(2	19(2	NUM
brj-23197	46	9	)	)	PUNCT
brj-23197	46	10	,	,	PUNCT
brj-23197	46	11	3001	3001	NUM
brj-23197	46	12	-	-	SYM
brj-23197	46	13	3009	3009	NUM
brj-23197	46	14	.	.	PUNCT
brj-23197	47	1	3003	3003	NUM
brj-23197	47	2	at	at	ADP
brj-23197	47	3	each	each	DET
brj-23197	47	4	insertion	insertion	NOUN
brj-23197	47	5	depth	depth	NOUN
brj-23197	47	6	.	.	PUNCT
brj-23197	48	1	the	the	DET
brj-23197	48	2	samples	sample	NOUN
brj-23197	48	3	were	be	AUX
brj-23197	48	4	then	then	ADV
brj-23197	48	5	allowed	allow	VERB
brj-23197	48	6	to	to	PART
brj-23197	48	7	dry	dry	VERB
brj-23197	48	8	naturally	naturally	ADV
brj-23197	48	9	and	and	CCONJ
brj-23197	48	10	weighed	weigh	VERB
brj-23197	48	11	every	every	DET
brj-23197	48	12	12	12	NUM
brj-23197	48	13	h.	h.	NOUN
brj-23197	48	14	when	when	SCONJ
brj-23197	48	15	the	the	DET
brj-23197	48	16	sample	sample	NOUN
brj-23197	48	17	mass	mass	NOUN
brj-23197	48	18	was	be	AUX
brj-23197	48	19	reduced	reduce	VERB
brj-23197	48	20	to	to	ADP
brj-23197	48	21	less	less	ADJ
brj-23197	48	22	than	than	ADP
brj-23197	48	23	50	50	NUM
brj-23197	48	24	g	g	NOUN
brj-23197	48	25	within	within	ADP
brj-23197	48	26	12	12	NUM
brj-23197	48	27	h	h	NOUN
brj-23197	48	28	,	,	PUNCT
brj-23197	48	29	the	the	DET
brj-23197	48	30	sample	sample	NOUN
brj-23197	48	31	was	be	AUX
brj-23197	48	32	dried	dry	VERB
brj-23197	48	33	in	in	ADP
brj-23197	48	34	an	an	DET
brj-23197	48	35	oven	oven	NOUN
brj-23197	48	36	at	at	ADP
brj-23197	48	37	105	105	NUM
brj-23197	48	38	°	°	ADP
brj-23197	48	39	c	c	NOUN
brj-23197	48	40	for	for	ADP
brj-23197	48	41	24	24	NUM
brj-23197	48	42	h	h	NOUN
brj-23197	48	43	each	each	DET
brj-23197	48	44	time	time	NOUN
brj-23197	48	45	.	.	PUNCT
brj-23197	49	1	after	after	ADP
brj-23197	49	2	each	each	DET
brj-23197	49	3	drying	dry	VERB
brj-23197	49	4	and	and	CCONJ
brj-23197	49	5	weighing	weighing	NOUN
brj-23197	49	6	,	,	PUNCT
brj-23197	49	7	the	the	DET
brj-23197	49	8	tdr	tdr	PROPN
brj-23197	49	9	test	test	NOUN
brj-23197	49	10	procedure	procedure	NOUN
brj-23197	49	11	was	be	AUX
brj-23197	49	12	repeated	repeat	VERB
brj-23197	49	13	until	until	SCONJ
brj-23197	49	14	the	the	DET
brj-23197	49	15	sample	sample	NOUN
brj-23197	49	16	was	be	AUX
brj-23197	49	17	absolutely	absolutely	ADV
brj-23197	49	18	dry	dry	ADJ
brj-23197	49	19	.	.	PUNCT
brj-23197	50	1	the	the	DET
brj-23197	50	2	absolute	absolute	ADJ
brj-23197	50	3	dry	dry	ADJ
brj-23197	50	4	mass	mass	NOUN
brj-23197	50	5	was	be	AUX
brj-23197	50	6	recorded	record	VERB
brj-23197	50	7	and	and	CCONJ
brj-23197	50	8	the	the	DET
brj-23197	50	9	corresponding	corresponding	ADJ
brj-23197	50	10	mc	mc	PROPN
brj-23197	50	11	was	be	AUX
brj-23197	50	12	calculated	calculate	VERB
brj-23197	50	13	.	.	PUNCT
brj-23197	51	1	boreholes	borehole	NOUN
brj-23197	51	2	were	be	AUX
brj-23197	51	3	drilled	drill	VERB
brj-23197	51	4	at	at	ADP
brj-23197	51	5	the	the	DET
brj-23197	51	6	breast	breast	NOUN
brj-23197	51	7	diameter	diameter	NOUN
brj-23197	51	8	of	of	ADP
brj-23197	51	9	standing	stand	VERB
brj-23197	51	10	trees	tree	NOUN
brj-23197	51	11	and	and	CCONJ
brj-23197	51	12	tdr	tdr	PROPN
brj-23197	51	13	tests	test	NOUN
brj-23197	51	14	were	be	AUX
brj-23197	51	15	performed	perform	VERB
brj-23197	51	16	in	in	ADP
brj-23197	51	17	the	the	DET
brj-23197	51	18	same	same	ADJ
brj-23197	51	19	way	way	NOUN
brj-23197	51	20	as	as	ADP
brj-23197	51	21	in	in	ADP
brj-23197	51	22	the	the	DET
brj-23197	51	23	indoor	indoor	ADJ
brj-23197	51	24	experiment	experiment	NOUN
brj-23197	51	25	.	.	PUNCT
brj-23197	52	1	mc	mc	PROPN
brj-23197	52	2	of	of	ADP
brj-23197	52	3	standing	standing	PROPN
brj-23197	52	4	trees	tree	NOUN
brj-23197	52	5	was	be	AUX
brj-23197	52	6	measured	measure	VERB
brj-23197	52	7	using	use	VERB
brj-23197	52	8	growth	growth	NOUN
brj-23197	52	9	cones	cone	NOUN
brj-23197	52	10	to	to	PART
brj-23197	52	11	take	take	VERB
brj-23197	52	12	cores	core	NOUN
brj-23197	52	13	.	.	PUNCT
brj-23197	53	1	fig	fig	NOUN
brj-23197	53	2	.	.	PUNCT
brj-23197	54	1	1	1	NUM
brj-23197	54	2	.	.	X
brj-23197	54	3	schematic	schematic	ADJ
brj-23197	54	4	diagram	diagram	NOUN
brj-23197	54	5	of	of	ADP
brj-23197	54	6	experiment	experiment	NOUN
brj-23197	54	7	results	result	NOUN
brj-23197	54	8	and	and	CCONJ
brj-23197	54	9	discussion	discussion	NOUN
brj-23197	54	10	construction	construction	NOUN
brj-23197	54	11	of	of	ADP
brj-23197	54	12	species	specie	NOUN
brj-23197	54	13	-	-	PUNCT
brj-23197	54	14	specific	specific	ADJ
brj-23197	54	15	mc	mc	PROPN
brj-23197	54	16	prediction	prediction	NOUN
brj-23197	54	17	model	model	NOUN
brj-23197	54	18	the	the	DET
brj-23197	54	19	regression	regression	NOUN
brj-23197	54	20	models	model	NOUN
brj-23197	54	21	(	(	PUNCT
brj-23197	54	22	linear	linear	ADJ
brj-23197	54	23	,	,	PUNCT
brj-23197	54	24	quadratic	quadratic	ADJ
brj-23197	54	25	polynomial	polynomial	ADJ
brj-23197	54	26	,	,	PUNCT
brj-23197	54	27	logarithmic	logarithmic	ADJ
brj-23197	54	28	,	,	PUNCT
brj-23197	54	29	exponential	exponential	NOUN
brj-23197	54	30	,	,	PUNCT
brj-23197	54	31	and	and	CCONJ
brj-23197	54	32	power	power	NOUN
brj-23197	54	33	function	function	NOUN
brj-23197	54	34	models	model	NOUN
brj-23197	54	35	)	)	PUNCT
brj-23197	54	36	of	of	ADP
brj-23197	54	37	mc	mc	PROPN
brj-23197	54	38	and	and	CCONJ
brj-23197	54	39	electromagnetic	electromagnetic	ADJ
brj-23197	54	40	wave	wave	NOUN
brj-23197	54	41	propagation	propagation	NOUN
brj-23197	54	42	time	time	NOUN
brj-23197	54	43	(	(	PUNCT
brj-23197	54	44	ewpt	ewpt	X
brj-23197	54	45	)	)	PUNCT
brj-23197	54	46	were	be	AUX
brj-23197	54	47	computed	compute	VERB
brj-23197	54	48	and	and	CCONJ
brj-23197	54	49	analyzed	analyze	VERB
brj-23197	54	50	using	use	VERB
brj-23197	54	51	statistical	statistical	ADJ
brj-23197	54	52	analysis	analysis	NOUN
brj-23197	54	53	,	,	PUNCT
brj-23197	54	54	and	and	CCONJ
brj-23197	54	55	the	the	DET
brj-23197	54	56	coefficient	coefficient	NOUN
brj-23197	54	57	of	of	ADP
brj-23197	54	58	determination	determination	NOUN
brj-23197	54	59	(	(	PUNCT
brj-23197	54	60	r2	r2	PROPN
brj-23197	54	61	)	)	PUNCT
brj-23197	54	62	,	,	PUNCT
brj-23197	54	63	residual	residual	ADJ
brj-23197	54	64	sum	sum	NOUN
brj-23197	54	65	of	of	ADP
brj-23197	54	66	squares	square	NOUN
brj-23197	54	67	(	(	PUNCT
brj-23197	54	68	q	q	NOUN
brj-23197	54	69	)	)	PUNCT
brj-23197	54	70	,	,	PUNCT
brj-23197	54	71	f	f	X
brj-23197	54	72	-	-	PUNCT
brj-23197	54	73	value	value	NOUN
brj-23197	54	74	,	,	PUNCT
brj-23197	54	75	and	and	CCONJ
brj-23197	54	76	significance	significance	NOUN
brj-23197	54	77	(	(	PUNCT
brj-23197	54	78	sig	sig	NOUN
brj-23197	54	79	.	.	PUNCT
brj-23197	54	80	)	)	PUNCT
brj-23197	54	81	were	be	AUX
brj-23197	54	82	selected	select	VERB
brj-23197	54	83	as	as	ADP
brj-23197	54	84	the	the	DET
brj-23197	54	85	indicators	indicator	NOUN
brj-23197	54	86	for	for	ADP
brj-23197	54	87	evaluating	evaluate	VERB
brj-23197	54	88	the	the	DET
brj-23197	54	89	models	model	NOUN
brj-23197	54	90	.	.	PUNCT
brj-23197	55	1	the	the	DET
brj-23197	55	2	r2	r2	PROPN
brj-23197	55	3	of	of	ADP
brj-23197	55	4	the	the	DET
brj-23197	55	5	regression	regression	NOUN
brj-23197	55	6	models	model	NOUN
brj-23197	55	7	for	for	ADP
brj-23197	55	8	the	the	DET
brj-23197	55	9	four	four	NUM
brj-23197	55	10	tree	tree	NOUN
brj-23197	55	11	species	specie	NOUN
brj-23197	55	12	at	at	ADP
brj-23197	55	13	different	different	ADJ
brj-23197	55	14	insertion	insertion	NOUN
brj-23197	55	15	depths	depth	NOUN
brj-23197	55	16	of	of	ADP
brj-23197	55	17	the	the	DET
brj-23197	55	18	probes	probe	NOUN
brj-23197	55	19	are	be	AUX
brj-23197	55	20	shown	show	VERB
brj-23197	55	21	in	in	ADP
brj-23197	55	22	table	table	NOUN
brj-23197	55	23	1	1	NUM
brj-23197	55	24	.	.	PUNCT
brj-23197	56	1	both	both	CCONJ
brj-23197	56	2	linear	linear	ADJ
brj-23197	56	3	and	and	CCONJ
brj-23197	56	4	quadratic	quadratic	ADJ
brj-23197	56	5	polynomial	polynomial	ADJ
brj-23197	56	6	models	model	NOUN
brj-23197	56	7	showed	show	VERB
brj-23197	56	8	r2	r2	NOUN
brj-23197	56	9	greater	great	ADJ
brj-23197	56	10	than	than	ADP
brj-23197	56	11	0.90	0.90	NUM
brj-23197	56	12	,	,	PUNCT
brj-23197	56	13	so	so	SCONJ
brj-23197	56	14	these	these	DET
brj-23197	56	15	models	model	NOUN
brj-23197	56	16	were	be	AUX
brj-23197	56	17	chosen	choose	VERB
brj-23197	56	18	.	.	PUNCT
brj-23197	57	1	to	to	PART
brj-23197	57	2	investigate	investigate	VERB
brj-23197	57	3	the	the	DET
brj-23197	57	4	effect	effect	NOUN
brj-23197	57	5	of	of	ADP
brj-23197	57	6	tdr	tdr	PROPN
brj-23197	57	7	probe	probe	NOUN
brj-23197	57	8	insertion	insertion	NOUN
brj-23197	57	9	depth	depth	NOUN
brj-23197	57	10	on	on	ADP
brj-23197	57	11	model	model	NOUN
brj-23197	57	12	construction	construction	NOUN
brj-23197	57	13	,	,	PUNCT
brj-23197	57	14	the	the	DET
brj-23197	57	15	evaluation	evaluation	NOUN
brj-23197	57	16	indices	index	NOUN
brj-23197	57	17	of	of	ADP
brj-23197	57	18	different	different	ADJ
brj-23197	57	19	tree	tree	NOUN
brj-23197	57	20	species	specie	NOUN
brj-23197	57	21	were	be	AUX
brj-23197	57	22	compared	compare	VERB
brj-23197	57	23	at	at	ADP
brj-23197	57	24	4	4	NUM
brj-23197	57	25	,	,	PUNCT
brj-23197	57	26	6	6	NUM
brj-23197	57	27	,	,	PUNCT
brj-23197	57	28	8	8	NUM
brj-23197	57	29	,	,	PUNCT
brj-23197	57	30	10	10	NUM
brj-23197	57	31	,	,	PUNCT
brj-23197	57	32	and	and	CCONJ
brj-23197	57	33	12	12	NUM
brj-23197	57	34	cm	cm	NOUN
brj-23197	57	35	depths	depth	NOUN
brj-23197	57	36	,	,	PUNCT
brj-23197	57	37	and	and	CCONJ
brj-23197	57	38	sig	sig	NOUN
brj-23197	57	39	.	.	PUNCT
brj-23197	58	1	of	of	ADP
brj-23197	58	2	all	all	DET
brj-23197	58	3	models	model	NOUN
brj-23197	58	4	were	be	AUX
brj-23197	58	5	obtained	obtain	VERB
brj-23197	58	6	<	<	X
brj-23197	58	7	0.01	0.01	NUM
brj-23197	58	8	.	.	PUNCT
brj-23197	59	1	r2	r2	PROPN
brj-23197	59	2	and	and	CCONJ
brj-23197	59	3	f	f	X
brj-23197	59	4	-	-	PUNCT
brj-23197	59	5	values	value	NOUN
brj-23197	59	6	were	be	AUX
brj-23197	59	7	largest	large	ADJ
brj-23197	59	8	at	at	ADP
brj-23197	59	9	insertion	insertion	NOUN
brj-23197	59	10	depths	depth	NOUN
brj-23197	59	11	of	of	ADP
brj-23197	59	12	8	8	NUM
brj-23197	59	13	cm	cm	NOUN
brj-23197	59	14	or	or	CCONJ
brj-23197	59	15	10	10	NUM
brj-23197	59	16	cm	cm	NOUN
brj-23197	59	17	,	,	PUNCT
brj-23197	59	18	which	which	PRON
brj-23197	59	19	means	mean	VERB
brj-23197	59	20	that	that	SCONJ
brj-23197	59	21	the	the	DET
brj-23197	59	22	inversion	inversion	NOUN
brj-23197	59	23	model	model	NOUN
brj-23197	59	24	fits	fit	VERB
brj-23197	59	25	better	well	ADJ
brj-23197	59	26	at	at	ADP
brj-23197	59	27	these	these	DET
brj-23197	59	28	two	two	NUM
brj-23197	59	29	insertion	insertion	NOUN
brj-23197	59	30	depths	depth	NOUN
brj-23197	59	31	(	(	PUNCT
brj-23197	59	32	table	table	NOUN
brj-23197	59	33	1	1	NUM
brj-23197	59	34	)	)	PUNCT
brj-23197	59	35	.	.	PUNCT
brj-23197	60	1	considering	consider	VERB
brj-23197	60	2	the	the	DET
brj-23197	60	3	difficulty	difficulty	NOUN
brj-23197	60	4	of	of	ADP
brj-23197	60	5	drilling	drill	VERB
brj-23197	60	6	holes	hole	NOUN
brj-23197	60	7	,	,	PUNCT
brj-23197	60	8	reducing	reduce	VERB
brj-23197	60	9	the	the	DET
brj-23197	60	10	damage	damage	NOUN
brj-23197	60	11	to	to	ADP
brj-23197	60	12	trees	tree	NOUN
brj-23197	60	13	and	and	CCONJ
brj-23197	60	14	other	other	ADJ
brj-23197	60	15	practical	practical	ADJ
brj-23197	60	16	issues	issue	NOUN
brj-23197	60	17	,	,	PUNCT
brj-23197	60	18	the	the	DET
brj-23197	60	19	data	datum	NOUN
brj-23197	60	20	of	of	ADP
brj-23197	60	21	8	8	NUM
brj-23197	60	22	cm	cm	NOUN
brj-23197	60	23	insertion	insertion	NOUN
brj-23197	60	24	depth	depth	NOUN
brj-23197	60	25	was	be	AUX
brj-23197	60	26	chosen	choose	VERB
brj-23197	60	27	to	to	PART
brj-23197	60	28	construct	construct	VERB
brj-23197	60	29	a	a	DET
brj-23197	60	30	species	species	NOUN
brj-23197	60	31	-	-	PUNCT
brj-23197	60	32	specific	specific	ADJ
brj-23197	60	33	mc	mc	PROPN
brj-23197	60	34	prediction	prediction	NOUN
brj-23197	60	35	model	model	NOUN
brj-23197	60	36	,	,	PUNCT
brj-23197	60	37	as	as	SCONJ
brj-23197	60	38	follows	follow	VERB
brj-23197	60	39	,	,	PUNCT
brj-23197	61	1	y	y	PROPN
brj-23197	61	2	=	=	SYM
brj-23197	61	3	ax2	ax2	NOUN
brj-23197	61	4	+	+	CCONJ
brj-23197	61	5	bx	bx	X
brj-23197	62	1	+	+	CCONJ
brj-23197	62	2	c	c	X
brj-23197	62	3	(	(	PUNCT
brj-23197	62	4	1	1	NUM
brj-23197	62	5	)	)	PUNCT
brj-23197	62	6	y	y	NOUN
brj-23197	62	7	=	=	PUNCT
brj-23197	62	8	dx	dx	PROPN
brj-23197	63	1	+	+	CCONJ
brj-23197	63	2	e	e	X
brj-23197	63	3	(	(	PUNCT
brj-23197	63	4	2	2	NUM
brj-23197	63	5	)	)	PUNCT
brj-23197	63	6	where	where	SCONJ
brj-23197	63	7	y	y	PROPN
brj-23197	63	8	is	be	AUX
brj-23197	63	9	the	the	DET
brj-23197	63	10	mc	mc	PROPN
brj-23197	63	11	,	,	PUNCT
brj-23197	63	12	x	x	PROPN
brj-23197	63	13	is	be	AUX
brj-23197	63	14	the	the	DET
brj-23197	63	15	ewpt	ewpt	NOUN
brj-23197	63	16	.	.	PUNCT
brj-23197	64	1	the	the	DET
brj-23197	64	2	coefficients	coefficient	NOUN
brj-23197	64	3	a	a	DET
brj-23197	64	4	,	,	PUNCT
brj-23197	64	5	b	b	NOUN
brj-23197	64	6	,	,	PUNCT
brj-23197	64	7	and	and	CCONJ
brj-23197	64	8	c	c	NOUN
brj-23197	64	9	are	be	AUX
brj-23197	64	10	given	give	VERB
brj-23197	64	11	in	in	ADP
brj-23197	64	12	table	table	NOUN
brj-23197	64	13	2	2	NUM
brj-23197	64	14	.	.	PUNCT
brj-23197	64	15	peer	peer	NOUN
brj-23197	64	16	-	-	PUNCT
brj-23197	64	17	reviewed	review	VERB
brj-23197	64	18	article	article	NOUN
brj-23197	64	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	64	20	wang	wang	PROPN
brj-23197	64	21	et	et	PROPN
brj-23197	64	22	al	al	PROPN
brj-23197	64	23	.	.	PROPN
brj-23197	65	1	(	(	PUNCT
brj-23197	65	2	2024	2024	NUM
brj-23197	65	3	)	)	PUNCT
brj-23197	65	4	.	.	PUNCT
brj-23197	66	1	“	"	PUNCT
brj-23197	66	2	wood	wood	NOUN
brj-23197	66	3	moisture	moisture	NOUN
brj-23197	66	4	prediction	prediction	NOUN
brj-23197	66	5	,	,	PUNCT
brj-23197	66	6	”	"	PUNCT
brj-23197	66	7	bioresources	bioresource	NOUN
brj-23197	66	8	19(2	19(2	NUM
brj-23197	66	9	)	)	PUNCT
brj-23197	66	10	,	,	PUNCT
brj-23197	66	11	3001	3001	NUM
brj-23197	66	12	-	-	SYM
brj-23197	66	13	3009	3009	NUM
brj-23197	66	14	.	.	PUNCT
brj-23197	67	1	3004	3004	NUM
brj-23197	67	2	for	for	ADP
brj-23197	67	3	the	the	DET
brj-23197	67	4	four	four	NUM
brj-23197	67	5	tree	tree	NOUN
brj-23197	67	6	species	specie	NOUN
brj-23197	67	7	,	,	PUNCT
brj-23197	67	8	the	the	DET
brj-23197	67	9	relationship	relationship	NOUN
brj-23197	67	10	between	between	ADP
brj-23197	67	11	ewpt	ewpt	NOUN
brj-23197	67	12	and	and	CCONJ
brj-23197	67	13	mc	mc	PROPN
brj-23197	67	14	and	and	CCONJ
brj-23197	67	15	the	the	DET
brj-23197	67	16	two	two	NUM
brj-23197	67	17	species	specie	NOUN
brj-23197	67	18	-	-	PUNCT
brj-23197	67	19	specific	specific	ADJ
brj-23197	67	20	mc	mc	NOUN
brj-23197	67	21	prediction	prediction	NOUN
brj-23197	67	22	models	model	NOUN
brj-23197	67	23	are	be	AUX
brj-23197	67	24	shown	show	VERB
brj-23197	67	25	in	in	ADP
brj-23197	67	26	fig	fig	NOUN
brj-23197	67	27	.	.	PUNCT
brj-23197	68	1	2	2	X
brj-23197	68	2	.	.	X
brj-23197	68	3	the	the	DET
brj-23197	68	4	strong	strong	ADJ
brj-23197	68	5	correlation	correlation	NOUN
brj-23197	68	6	between	between	ADP
brj-23197	68	7	ewpt	ewpt	NOUN
brj-23197	68	8	and	and	CCONJ
brj-23197	68	9	mc	mc	PROPN
brj-23197	68	10	can	can	AUX
brj-23197	68	11	be	be	AUX
brj-23197	68	12	visualized	visualize	VERB
brj-23197	68	13	in	in	ADP
brj-23197	68	14	fig	fig	NOUN
brj-23197	68	15	.	.	PUNCT
brj-23197	69	1	2	2	X
brj-23197	69	2	.	.	X
brj-23197	69	3	the	the	DET
brj-23197	69	4	fitting	fitting	NOUN
brj-23197	69	5	of	of	ADP
brj-23197	69	6	the	the	DET
brj-23197	69	7	two	two	NUM
brj-23197	69	8	models	model	NOUN
brj-23197	69	9	for	for	ADP
brj-23197	69	10	each	each	DET
brj-23197	69	11	tree	tree	NOUN
brj-23197	69	12	species	specie	NOUN
brj-23197	69	13	was	be	AUX
brj-23197	69	14	also	also	ADV
brj-23197	69	15	relatively	relatively	ADV
brj-23197	69	16	similar	similar	ADJ
brj-23197	69	17	,	,	PUNCT
brj-23197	69	18	but	but	CCONJ
brj-23197	69	19	there	there	PRON
brj-23197	69	20	were	be	VERB
brj-23197	69	21	differences	difference	NOUN
brj-23197	69	22	in	in	ADP
brj-23197	69	23	the	the	DET
brj-23197	69	24	models	model	NOUN
brj-23197	69	25	for	for	ADP
brj-23197	69	26	different	different	ADJ
brj-23197	69	27	tree	tree	NOUN
brj-23197	69	28	species	specie	NOUN
brj-23197	69	29	.	.	PUNCT
brj-23197	70	1	under	under	ADP
brj-23197	70	2	the	the	DET
brj-23197	70	3	same	same	ADJ
brj-23197	70	4	ewpt	ewpt	NOUN
brj-23197	70	5	,	,	PUNCT
brj-23197	70	6	the	the	DET
brj-23197	70	7	mc	mc	PROPN
brj-23197	70	8	from	from	ADP
brj-23197	70	9	largest	large	ADJ
brj-23197	70	10	to	to	ADP
brj-23197	70	11	smallest	small	ADJ
brj-23197	70	12	was	be	AUX
brj-23197	70	13	always	always	ADV
brj-23197	70	14	:	:	PUNCT
brj-23197	70	15	picea	picea	NOUN
brj-23197	70	16	asperata	asperata	PROPN
brj-23197	70	17	,	,	PUNCT
brj-23197	70	18	tilia	tilia	PROPN
brj-23197	70	19	tuan	tuan	PROPN
brj-23197	70	20	,	,	PUNCT
brj-23197	70	21	betula	betula	PROPN
brj-23197	70	22	platyphylla	platyphylla	NOUN
brj-23197	70	23	,	,	PUNCT
brj-23197	70	24	and	and	CCONJ
brj-23197	70	25	fraxinus	fraxinus	PROPN
brj-23197	70	26	mandshurica	mandshurica	PROPN
brj-23197	70	27	.	.	PUNCT
brj-23197	71	1	table	table	NOUN
brj-23197	71	2	1	1	NUM
brj-23197	71	3	.	.	PUNCT
brj-23197	72	1	r2	r2	NOUN
brj-23197	72	2	for	for	ADP
brj-23197	72	3	different	different	ADJ
brj-23197	72	4	models	model	NOUN
brj-23197	72	5	for	for	ADP
brj-23197	72	6	4	4	NUM
brj-23197	72	7	tree	tree	NOUN
brj-23197	72	8	species	specie	NOUN
brj-23197	72	9	at	at	ADP
brj-23197	72	10	different	different	ADJ
brj-23197	72	11	insertion	insertion	NOUN
brj-23197	72	12	depths	depth	VERB
brj-23197	72	13	species	species	NOUN
brj-23197	72	14	depth	depth	NOUN
brj-23197	72	15	linear	linear	ADJ
brj-23197	72	16	quadratic	quadratic	ADJ
brj-23197	72	17	logarithmic	logarithmic	ADJ
brj-23197	72	18	exponential	exponential	ADJ
brj-23197	72	19	idempotent	idempotent	ADJ
brj-23197	72	20	picea	picea	NOUN
brj-23197	72	21	asperata	asperata	NOUN
brj-23197	72	22	4	4	NUM
brj-23197	72	23	0.962	0.962	NUM
brj-23197	72	24	0.981	0.981	NUM
brj-23197	72	25	0.944	0.944	NUM
brj-23197	72	26	0.791	0.791	NUM
brj-23197	72	27	0.830	0.830	NUM
brj-23197	72	28	6	6	NUM
brj-23197	72	29	0.977	0.977	NUM
brj-23197	72	30	0.980	0.980	NUM
brj-23197	72	31	0.933	0.933	NUM
brj-23197	72	32	0.858	0.858	NUM
brj-23197	72	33	0.848	0.848	NUM
brj-23197	72	34	8	8	NUM
brj-23197	72	35	0.942	0.942	NUM
brj-23197	72	36	0.945	0.945	NUM
brj-23197	72	37	0.944	0.944	NUM
brj-23197	72	38	0.791	0.791	NUM
brj-23197	72	39	0.831	0.831	NUM
brj-23197	72	40	10	10	NUM
brj-23197	72	41	0.955	0.955	NUM
brj-23197	72	42	0.955	0.955	NUM
brj-23197	72	43	0.953	0.953	NUM
brj-23197	72	44	0.810	0.810	NUM
brj-23197	72	45	0.853	0.853	NUM
brj-23197	72	46	12	12	NUM
brj-23197	72	47	0.942	0.942	NUM
brj-23197	72	48	0.942	0.942	NUM
brj-23197	72	49	0.939	0.939	NUM
brj-23197	72	50	0.805	0.805	NUM
brj-23197	72	51	0.851	0.851	NUM
brj-23197	72	52	tilia	tilia	X
brj-23197	72	53	tuan	tuan	PROPN
brj-23197	72	54	4	4	NUM
brj-23197	72	55	0.936	0.936	NUM
brj-23197	72	56	0.976	0.976	NUM
brj-23197	72	57	0.924	0.924	NUM
brj-23197	72	58	0.777	0.777	NUM
brj-23197	72	59	0.833	0.833	NUM
brj-23197	72	60	6	6	NUM
brj-23197	72	61	0.959	0.959	NUM
brj-23197	72	62	0.973	0.973	NUM
brj-23197	72	63	0.948	0.948	NUM
brj-23197	72	64	0.868	0.868	NUM
brj-23197	72	65	0.855	0.855	NUM
brj-23197	72	66	8	8	NUM
brj-23197	72	67	0.981	0.981	NUM
brj-23197	72	68	0.980	0.980	NUM
brj-23197	72	69	0.974	0.974	NUM
brj-23197	72	70	0.777	0.777	NUM
brj-23197	72	71	0.833	0.833	NUM
brj-23197	72	72	10	10	NUM
brj-23197	72	73	0.979	0.979	NUM
brj-23197	72	74	0.980	0.980	NUM
brj-23197	72	75	0.967	0.967	NUM
brj-23197	72	76	0.803	0.803	NUM
brj-23197	72	77	0.862	0.862	NUM
brj-23197	72	78	12	12	NUM
brj-23197	72	79	0.973	0.973	NUM
brj-23197	72	80	0.976	0.976	NUM
brj-23197	72	81	0.955	0.955	NUM
brj-23197	72	82	0.825	0.825	NUM
brj-23197	72	83	0.884	0.884	NUM
brj-23197	72	84	betula	betula	ADJ
brj-23197	72	85	platyphylla	platyphylla	NOUN
brj-23197	72	86	4	4	NUM
brj-23197	72	87	0.961	0.961	NUM
brj-23197	72	88	0.971	0.971	NUM
brj-23197	72	89	0.965	0.965	NUM
brj-23197	72	90	0.746	0.746	NUM
brj-23197	72	91	0.890	0.890	NUM
brj-23197	72	92	6	6	NUM
brj-23197	72	93	0.977	0.977	NUM
brj-23197	72	94	0.978	0.978	NUM
brj-23197	72	95	0.976	0.976	NUM
brj-23197	72	96	0.798	0.798	NUM
brj-23197	72	97	0.830	0.830	NUM
brj-23197	72	98	8	8	NUM
brj-23197	72	99	0.984	0.984	NUM
brj-23197	72	100	0.985	0.985	NUM
brj-23197	72	101	0.978	0.978	NUM
brj-23197	72	102	0.825	0.825	NUM
brj-23197	72	103	0.861	0.861	NUM
brj-23197	72	104	10	10	NUM
brj-23197	72	105	0.978	0.978	NUM
brj-23197	72	106	0.981	0.981	NUM
brj-23197	72	107	0.968	0.968	NUM
brj-23197	72	108	0.840	0.840	NUM
brj-23197	72	109	0.879	0.879	NUM
brj-23197	72	110	12	12	NUM
brj-23197	72	111	0.979	0.979	NUM
brj-23197	72	112	0.980	0.980	NUM
brj-23197	72	113	0.957	0.957	NUM
brj-23197	72	114	0.858	0.858	NUM
brj-23197	72	115	0.899	0.899	NUM
brj-23197	72	116	fraxinus	fraxinus	NOUN
brj-23197	72	117	mandshurica	mandshurica	PROPN
brj-23197	72	118	4	4	NUM
brj-23197	72	119	0.936	0.936	NUM
brj-23197	72	120	0.973	0.973	NUM
brj-23197	72	121	0.935	0.935	NUM
brj-23197	72	122	0.867	0.867	NUM
brj-23197	72	123	0.884	0.884	NUM
brj-23197	72	124	6	6	NUM
brj-23197	72	125	0.965	0.965	NUM
brj-23197	72	126	0.959	0.959	NUM
brj-23197	72	127	0.955	0.955	NUM
brj-23197	72	128	0.880	0.880	NUM
brj-23197	72	129	0.907	0.907	NUM
brj-23197	72	130	8	8	NUM
brj-23197	72	131	0.971	0.971	NUM
brj-23197	72	132	0.971	0.971	NUM
brj-23197	72	133	0.963	0.963	NUM
brj-23197	72	134	0.886	0.886	NUM
brj-23197	72	135	0.884	0.884	NUM
brj-23197	72	136	10	10	NUM
brj-23197	72	137	0.972	0.972	NUM
brj-23197	72	138	0.976	0.976	NUM
brj-23197	72	139	0.958	0.958	NUM
brj-23197	72	140	0.909	0.909	NUM
brj-23197	72	141	0.937	0.937	NUM
brj-23197	72	142	12	12	NUM
brj-23197	72	143	0.963	0.963	NUM
brj-23197	72	144	0.973	0.973	NUM
brj-23197	72	145	0.943	0.943	NUM
brj-23197	72	146	0.919	0.919	NUM
brj-23197	72	147	0.944	0.944	NUM
brj-23197	72	148	fig	fig	NOUN
brj-23197	72	149	.	.	PUNCT
brj-23197	73	1	2	2	X
brj-23197	73	2	.	.	X
brj-23197	73	3	linear	linear	ADJ
brj-23197	73	4	and	and	CCONJ
brj-23197	73	5	quadratic	quadratic	ADJ
brj-23197	73	6	polynomial	polynomial	ADJ
brj-23197	73	7	species	specie	NOUN
brj-23197	73	8	-	-	PUNCT
brj-23197	73	9	specific	specific	ADJ
brj-23197	73	10	mc	mc	NOUN
brj-23197	73	11	prediction	prediction	NOUN
brj-23197	73	12	models	model	NOUN
brj-23197	73	13	peer	peer	NOUN
brj-23197	73	14	-	-	PUNCT
brj-23197	73	15	reviewed	review	VERB
brj-23197	73	16	article	article	NOUN
brj-23197	73	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	73	18	wang	wang	PROPN
brj-23197	73	19	et	et	PROPN
brj-23197	73	20	al	al	PROPN
brj-23197	73	21	.	.	PROPN
brj-23197	74	1	(	(	PUNCT
brj-23197	74	2	2024	2024	NUM
brj-23197	74	3	)	)	PUNCT
brj-23197	74	4	.	.	PUNCT
brj-23197	75	1	“	"	PUNCT
brj-23197	75	2	wood	wood	NOUN
brj-23197	75	3	moisture	moisture	NOUN
brj-23197	75	4	prediction	prediction	NOUN
brj-23197	75	5	,	,	PUNCT
brj-23197	75	6	”	"	PUNCT
brj-23197	75	7	bioresources	bioresource	NOUN
brj-23197	75	8	19(2	19(2	NUM
brj-23197	75	9	)	)	PUNCT
brj-23197	75	10	,	,	PUNCT
brj-23197	75	11	3001	3001	NUM
brj-23197	75	12	-	-	SYM
brj-23197	75	13	3009	3009	NUM
brj-23197	75	14	.	.	PUNCT
brj-23197	76	1	3005	3005	NUM
brj-23197	76	2	table	table	NOUN
brj-23197	76	3	2	2	NUM
brj-23197	76	4	.	.	PUNCT
brj-23197	76	5	coefficients	coefficient	NOUN
brj-23197	76	6	of	of	ADP
brj-23197	76	7	selective	selective	ADJ
brj-23197	76	8	models	model	NOUN
brj-23197	76	9	for	for	ADP
brj-23197	76	10	four	four	NUM
brj-23197	76	11	tree	tree	NOUN
brj-23197	76	12	species	specie	NOUN
brj-23197	76	13	at	at	ADP
brj-23197	76	14	8	8	NUM
brj-23197	76	15	cm	cm	NOUN
brj-23197	76	16	insertion	insertion	NOUN
brj-23197	76	17	depths	depth	VERB
brj-23197	76	18	species	specie	NOUN
brj-23197	76	19	species	specie	NOUN
brj-23197	76	20	quadratic	quadratic	ADJ
brj-23197	76	21	polynomial	polynomial	ADJ
brj-23197	76	22	models	model	NOUN
brj-23197	76	23	a	a	DET
brj-23197	76	24	quadratic	quadratic	ADJ
brj-23197	76	25	polynomial	polynomial	ADJ
brj-23197	76	26	models	model	NOUN
brj-23197	76	27	b	b	ADP
brj-23197	76	28	quadratic	quadratic	ADJ
brj-23197	76	29	polynomial	polynomial	ADJ
brj-23197	76	30	models	model	NOUN
brj-23197	76	31	c	c	NOUN
brj-23197	76	32	linear	linear	NOUN
brj-23197	76	33	models	model	NOUN
brj-23197	76	34	d	d	ADP
brj-23197	76	35	linear	linear	NOUN
brj-23197	76	36	models	model	NOUN
brj-23197	76	37	e	e	PROPN
brj-23197	76	38	tilia	tilia	PROPN
brj-23197	76	39	tuan	tuan	PROPN
brj-23197	76	40	tilia	tilia	PROPN
brj-23197	76	41	-0.001	-0.001	PUNCT
brj-23197	76	42	0.229	0.229	NUM
brj-23197	76	43	-3.212	-3.212	PUNCT
brj-23197	76	44	0.189	0.189	NUM
brj-23197	76	45	-2.841	-2.841	PUNCT
brj-23197	76	46	picea	picea	NOUN
brj-23197	76	47	asperata	asperata	NOUN
brj-23197	76	48	spruce	spruce	NOUN
brj-23197	76	49	-0.005	-0.005	PUNCT
brj-23197	76	50	0.401	0.401	NUM
brj-23197	76	51	-4.861	-4.861	NUM
brj-23197	77	1	0.213	0.213	NUM
brj-23197	77	2	-3.163	-3.163	NUM
brj-23197	77	3	fraxinus	fraxinus	NOUN
brj-23197	77	4	mandshurica	mandshurica	NOUN
brj-23197	77	5	ash	ash	NOUN
brj-23197	77	6	0.005	0.005	NUM
brj-23197	77	7	-0.104	-0.104	NOUN
brj-23197	77	8	0.478	0.478	NUM
brj-23197	77	9	0.097	0.097	NUM
brj-23197	77	10	-1.471	-1.471	PROPN
brj-23197	77	11	betula	betula	ADJ
brj-23197	77	12	platyphylla	platyphylla	PROPN
brj-23197	77	13	birch	birch	PROPN
brj-23197	77	14	0.002	0.002	NUM
brj-23197	77	15	0.061	0.061	NUM
brj-23197	77	16	-1.437	-1.437	NUM
brj-23197	77	17	0.144	0.144	NUM
brj-23197	77	18	-2.179	-2.179	PUNCT
brj-23197	77	19	construction	construction	NOUN
brj-23197	77	20	of	of	ADP
brj-23197	77	21	generic	generic	PROPN
brj-23197	77	22	mc	mc	PROPN
brj-23197	77	23	prediction	prediction	NOUN
brj-23197	77	24	model	model	NOUN
brj-23197	77	25	the	the	DET
brj-23197	77	26	species	species	NOUN
brj-23197	77	27	-	-	PUNCT
brj-23197	77	28	specific	specific	ADJ
brj-23197	77	29	mc	mc	PROPN
brj-23197	77	30	prediction	prediction	NOUN
brj-23197	77	31	model	model	NOUN
brj-23197	77	32	is	be	AUX
brj-23197	77	33	only	only	ADV
brj-23197	77	34	applicable	applicable	ADJ
brj-23197	77	35	to	to	ADP
brj-23197	77	36	certain	certain	ADJ
brj-23197	77	37	tree	tree	NOUN
brj-23197	77	38	species	specie	NOUN
brj-23197	77	39	,	,	PUNCT
brj-23197	77	40	which	which	PRON
brj-23197	77	41	limits	limit	VERB
brj-23197	77	42	the	the	DET
brj-23197	77	43	application	application	NOUN
brj-23197	77	44	of	of	ADP
brj-23197	77	45	tdr	tdr	PROPN
brj-23197	77	46	.	.	PROPN
brj-23197	78	1	during	during	ADP
brj-23197	78	2	the	the	DET
brj-23197	78	3	analysis	analysis	NOUN
brj-23197	78	4	,	,	PUNCT
brj-23197	78	5	it	it	PRON
brj-23197	78	6	was	be	AUX
brj-23197	78	7	found	find	VERB
brj-23197	78	8	the	the	DET
brj-23197	78	9	species	specie	NOUN
brj-23197	78	10	-	-	PUNCT
brj-23197	78	11	specific	specific	ADJ
brj-23197	78	12	mc	mc	NOUN
brj-23197	78	13	models	model	NOUN
brj-23197	78	14	were	be	AUX
brj-23197	78	15	different	different	ADJ
brj-23197	78	16	for	for	ADP
brj-23197	78	17	different	different	ADJ
brj-23197	78	18	tree	tree	NOUN
brj-23197	78	19	species	specie	NOUN
brj-23197	78	20	,	,	PUNCT
brj-23197	78	21	but	but	CCONJ
brj-23197	78	22	the	the	DET
brj-23197	78	23	variation	variation	NOUN
brj-23197	78	24	pattern	pattern	NOUN
brj-23197	78	25	of	of	ADP
brj-23197	78	26	ewpt	ewpt	NOUN
brj-23197	78	27	with	with	ADP
brj-23197	78	28	mc	mc	PROPN
brj-23197	78	29	is	be	AUX
brj-23197	78	30	identical	identical	ADJ
brj-23197	78	31	.	.	PUNCT
brj-23197	79	1	for	for	ADP
brj-23197	79	2	a	a	DET
brj-23197	79	3	generic	generic	ADJ
brj-23197	79	4	mc	mc	PROPN
brj-23197	79	5	prediction	prediction	NOUN
brj-23197	79	6	model	model	NOUN
brj-23197	79	7	that	that	PRON
brj-23197	79	8	can	can	AUX
brj-23197	79	9	be	be	AUX
brj-23197	79	10	widely	widely	ADV
brj-23197	79	11	applied	apply	VERB
brj-23197	79	12	for	for	ADP
brj-23197	79	13	four	four	NUM
brj-23197	79	14	tree	tree	NOUN
brj-23197	79	15	species	specie	NOUN
brj-23197	79	16	,	,	PUNCT
brj-23197	79	17	a	a	DET
brj-23197	79	18	quadratic	quadratic	ADJ
brj-23197	79	19	polynomial	polynomial	ADJ
brj-23197	79	20	model	model	NOUN
brj-23197	79	21	was	be	AUX
brj-23197	79	22	constructed	construct	VERB
brj-23197	79	23	,	,	PUNCT
brj-23197	79	24	as	as	SCONJ
brj-23197	79	25	follows	follow	VERB
brj-23197	79	26	.	.	PUNCT
brj-23197	80	1	y	y	NOUN
brj-23197	80	2	=	=	PUNCT
brj-23197	81	1	-0.0003x2	-0.0003x2	PROPN
brj-23197	81	2	+	+	NUM
brj-23197	81	3	0.124x	0.124x	PROPN
brj-23197	81	4	–	–	PUNCT
brj-23197	81	5	1.853	1.853	NUM
brj-23197	81	6	(	(	PUNCT
brj-23197	81	7	3	3	NUM
brj-23197	81	8	)	)	PUNCT
brj-23197	81	9	the	the	DET
brj-23197	81	10	anova	anova	PROPN
brj-23197	81	11	of	of	ADP
brj-23197	81	12	the	the	DET
brj-23197	81	13	generic	generic	PROPN
brj-23197	81	14	mc	mc	PROPN
brj-23197	81	15	prediction	prediction	NOUN
brj-23197	81	16	model	model	NOUN
brj-23197	81	17	is	be	AUX
brj-23197	81	18	shown	show	VERB
brj-23197	81	19	in	in	ADP
brj-23197	81	20	table	table	NOUN
brj-23197	81	21	3	3	NUM
brj-23197	81	22	,	,	PUNCT
brj-23197	81	23	where	where	SCONJ
brj-23197	81	24	sig	sig	X
brj-23197	81	25	.	.	PUNCT
brj-23197	82	1	<	<	X
brj-23197	82	2	0.01	0.01	NUM
brj-23197	82	3	,	,	PUNCT
brj-23197	82	4	indicating	indicate	VERB
brj-23197	82	5	a	a	DET
brj-23197	82	6	significant	significant	ADJ
brj-23197	82	7	model	model	NOUN
brj-23197	82	8	.	.	PUNCT
brj-23197	83	1	r2	r2	PROPN
brj-23197	83	2	was	be	AUX
brj-23197	83	3	0.65	0.65	NUM
brj-23197	83	4	,	,	PUNCT
brj-23197	83	5	and	and	CCONJ
brj-23197	83	6	the	the	PRON
brj-23197	83	7	goodness	goodness	NOUN
brj-23197	83	8	-	-	PUNCT
brj-23197	83	9	of	of	ADP
brj-23197	83	10	-	-	PUNCT
brj-23197	83	11	fit	fit	NOUN
brj-23197	83	12	was	be	AUX
brj-23197	83	13	lower	low	ADJ
brj-23197	83	14	than	than	ADP
brj-23197	83	15	that	that	PRON
brj-23197	83	16	of	of	ADP
brj-23197	83	17	the	the	DET
brj-23197	83	18	species	species	NOUN
brj-23197	83	19	-	-	PUNCT
brj-23197	83	20	specific	specific	ADJ
brj-23197	83	21	mc	mc	PROPN
brj-23197	83	22	prediction	prediction	NOUN
brj-23197	83	23	model	model	NOUN
brj-23197	83	24	.	.	PUNCT
brj-23197	83	25	table	table	NOUN
brj-23197	83	26	3	3	NUM
brj-23197	83	27	.	.	PUNCT
brj-23197	83	28	anova	anova	PROPN
brj-23197	83	29	of	of	ADP
brj-23197	83	30	generic	generic	PROPN
brj-23197	83	31	mc	mc	PROPN
brj-23197	83	32	prediction	prediction	PROPN
brj-23197	83	33	model	model	NOUN
brj-23197	83	34	variance	variance	NOUN
brj-23197	83	35	sum	sum	NOUN
brj-23197	83	36	df	df	PROPN
brj-23197	83	37	ms	ms	PROPN
brj-23197	83	38	f	f	PROPN
brj-23197	83	39	sig	sig	PROPN
brj-23197	83	40	regression	regression	VERB
brj-23197	83	41	23.078	23.078	NUM
brj-23197	83	42	2	2	NUM
brj-23197	83	43	11.539	11.539	NUM
brj-23197	83	44	176.024	176.024	NUM
brj-23197	83	45	0	0	NUM
brj-23197	83	46	residuals	residual	NOUN
brj-23197	83	47	12.258	12.258	NUM
brj-23197	83	48	187	187	NUM
brj-23197	83	49	0.066	0.066	NUM
brj-23197	83	50	—	—	PUNCT
brj-23197	83	51	—	—	PUNCT
brj-23197	83	52	total	total	VERB
brj-23197	83	53	35.336	35.336	NUM
brj-23197	83	54	189	189	NUM
brj-23197	83	55	—	—	PUNCT
brj-23197	83	56	—	—	PUNCT
brj-23197	83	57	—	—	PUNCT
brj-23197	83	58	when	when	SCONJ
brj-23197	83	59	comparing	compare	VERB
brj-23197	83	60	the	the	DET
brj-23197	83	61	physical	physical	ADJ
brj-23197	83	62	properties	property	NOUN
brj-23197	83	63	of	of	ADP
brj-23197	83	64	tree	tree	NOUN
brj-23197	83	65	species	specie	NOUN
brj-23197	83	66	,	,	PUNCT
brj-23197	83	67	the	the	DET
brj-23197	83	68	differences	difference	NOUN
brj-23197	83	69	between	between	ADP
brj-23197	83	70	four	four	NUM
brj-23197	83	71	species	specie	NOUN
brj-23197	83	72	-	-	PUNCT
brj-23197	83	73	specific	specific	ADJ
brj-23197	83	74	mc	mc	NOUN
brj-23197	83	75	prediction	prediction	NOUN
brj-23197	83	76	models	model	NOUN
brj-23197	83	77	were	be	AUX
brj-23197	83	78	related	relate	VERB
brj-23197	83	79	to	to	ADP
brj-23197	83	80	air	air	NOUN
brj-23197	83	81	-	-	PUNCT
brj-23197	83	82	dry	dry	ADJ
brj-23197	83	83	density	density	NOUN
brj-23197	83	84	.	.	PUNCT
brj-23197	84	1	the	the	DET
brj-23197	84	2	air	air	NOUN
brj-23197	84	3	-	-	PUNCT
brj-23197	84	4	dry	dry	ADJ
brj-23197	84	5	densities	density	NOUN
brj-23197	84	6	of	of	ADP
brj-23197	84	7	the	the	DET
brj-23197	84	8	four	four	NUM
brj-23197	84	9	species	specie	NOUN
brj-23197	84	10	tested	test	VERB
brj-23197	84	11	were	be	AUX
brj-23197	84	12	,	,	PUNCT
brj-23197	84	13	in	in	ADP
brj-23197	84	14	decreasing	decrease	VERB
brj-23197	84	15	order	order	NOUN
brj-23197	84	16	,	,	PUNCT
brj-23197	84	17	0.70	0.70	NUM
brj-23197	84	18	g	g	NOUN
brj-23197	84	19	/	/	SYM
brj-23197	84	20	cm3	cm3	NOUN
brj-23197	84	21	for	for	ADP
brj-23197	84	22	ash	ash	NOUN
brj-23197	84	23	,	,	PUNCT
brj-23197	84	24	0.60	0.60	NUM
brj-23197	84	25	to	to	PART
brj-23197	84	26	0.70	0.70	NUM
brj-23197	84	27	g	g	NOUN
brj-23197	84	28	/	/	SYM
brj-23197	84	29	cm3	cm3	NOUN
brj-23197	84	30	for	for	ADP
brj-23197	84	31	birch	birch	NOUN
brj-23197	84	32	,	,	PUNCT
brj-23197	84	33	0.42	0.42	NUM
brj-23197	84	34	to	to	ADP
brj-23197	84	35	0.56	0.56	NUM
brj-23197	84	36	g	g	NOUN
brj-23197	84	37	/	/	SYM
brj-23197	84	38	cm3	cm3	NOUN
brj-23197	84	39	for	for	ADP
brj-23197	84	40	tilia	tilia	PROPN
brj-23197	84	41	tuan	tuan	PROPN
brj-23197	84	42	,	,	PUNCT
brj-23197	84	43	and	and	CCONJ
brj-23197	84	44	0.40	0.40	NUM
brj-23197	84	45	to	to	ADP
brj-23197	84	46	0.52	0.52	NUM
brj-23197	84	47	g	g	NOUN
brj-23197	84	48	/	/	SYM
brj-23197	84	49	cm3	cm3	NOUN
brj-23197	84	50	for	for	ADP
brj-23197	84	51	spruce	spruce	NOUN
brj-23197	84	52	.	.	PUNCT
brj-23197	85	1	in	in	ADP
brj-23197	85	2	the	the	DET
brj-23197	85	3	species	species	NOUN
brj-23197	85	4	-	-	PUNCT
brj-23197	85	5	specific	specific	ADJ
brj-23197	85	6	mc	mc	PROPN
brj-23197	85	7	prediction	prediction	NOUN
brj-23197	85	8	model	model	NOUN
brj-23197	85	9	,	,	PUNCT
brj-23197	85	10	the	the	DET
brj-23197	85	11	predicted	predict	VERB
brj-23197	85	12	values	value	NOUN
brj-23197	85	13	of	of	ADP
brj-23197	85	14	mc	mc	PROPN
brj-23197	85	15	at	at	ADP
brj-23197	85	16	the	the	DET
brj-23197	85	17	same	same	ADJ
brj-23197	85	18	ewpt	ewpt	NOUN
brj-23197	85	19	for	for	ADP
brj-23197	85	20	different	different	ADJ
brj-23197	85	21	tree	tree	NOUN
brj-23197	85	22	species	specie	NOUN
brj-23197	85	23	showed	show	VERB
brj-23197	85	24	a	a	DET
brj-23197	85	25	negative	negative	ADJ
brj-23197	85	26	correlation	correlation	NOUN
brj-23197	85	27	with	with	ADP
brj-23197	85	28	density	density	NOUN
brj-23197	85	29	.	.	PUNCT
brj-23197	86	1	in	in	ADP
brj-23197	86	2	this	this	DET
brj-23197	86	3	case	case	NOUN
brj-23197	86	4	,	,	PUNCT
brj-23197	86	5	the	the	DET
brj-23197	86	6	difference	difference	NOUN
brj-23197	86	7	in	in	ADP
brj-23197	86	8	air	air	NOUN
brj-23197	86	9	-	-	PUNCT
brj-23197	86	10	dry	dry	ADJ
brj-23197	86	11	density	density	NOUN
brj-23197	86	12	between	between	ADP
brj-23197	86	13	ash	ash	NOUN
brj-23197	86	14	and	and	CCONJ
brj-23197	86	15	spruce	spruce	NOUN
brj-23197	86	16	was	be	AUX
brj-23197	86	17	large	large	ADJ
brj-23197	86	18	,	,	PUNCT
brj-23197	86	19	so	so	ADV
brj-23197	86	20	it	it	PRON
brj-23197	86	21	resulted	result	VERB
brj-23197	86	22	in	in	ADP
brj-23197	86	23	a	a	DET
brj-23197	86	24	lower	low	ADJ
brj-23197	86	25	goodness	goodness	NOUN
brj-23197	86	26	of	of	ADP
brj-23197	86	27	fit	fit	NOUN
brj-23197	86	28	for	for	ADP
brj-23197	86	29	the	the	DET
brj-23197	86	30	generic	generic	PROPN
brj-23197	86	31	mc	mc	PROPN
brj-23197	86	32	prediction	prediction	NOUN
brj-23197	86	33	model	model	NOUN
brj-23197	86	34	.	.	PUNCT
brj-23197	87	1	the	the	DET
brj-23197	87	2	differences	difference	NOUN
brj-23197	87	3	between	between	ADP
brj-23197	87	4	the	the	DET
brj-23197	87	5	speciesspecific	speciesspecific	PROPN
brj-23197	87	6	mc	mc	PROPN
brj-23197	87	7	prediction	prediction	NOUN
brj-23197	87	8	models	model	NOUN
brj-23197	87	9	for	for	ADP
brj-23197	87	10	ash	ash	NOUN
brj-23197	87	11	and	and	CCONJ
brj-23197	87	12	spruce	spruce	NOUN
brj-23197	87	13	,	,	PUNCT
brj-23197	87	14	and	and	CCONJ
brj-23197	87	15	the	the	DET
brj-23197	87	16	generic	generic	PROPN
brj-23197	87	17	mc	mc	PROPN
brj-23197	87	18	prediction	prediction	NOUN
brj-23197	87	19	models	model	NOUN
brj-23197	87	20	for	for	ADP
brj-23197	87	21	the	the	DET
brj-23197	87	22	four	four	NUM
brj-23197	87	23	tree	tree	NOUN
brj-23197	87	24	species	specie	NOUN
brj-23197	87	25	are	be	AUX
brj-23197	87	26	shown	show	VERB
brj-23197	87	27	in	in	ADP
brj-23197	87	28	fig	fig	NOUN
brj-23197	87	29	.	.	PUNCT
brj-23197	88	1	3	3	X
brj-23197	88	2	.	.	PUNCT
brj-23197	88	3	based	base	VERB
brj-23197	88	4	on	on	ADP
brj-23197	88	5	the	the	DET
brj-23197	88	6	above	above	ADJ
brj-23197	88	7	analysis	analysis	NOUN
brj-23197	88	8	,	,	PUNCT
brj-23197	88	9	birch	birch	NOUN
brj-23197	88	10	(	(	PUNCT
brj-23197	88	11	0.60	0.60	NUM
brj-23197	88	12	to	to	PART
brj-23197	88	13	0.70	0.70	NUM
brj-23197	88	14	g	g	NOUN
brj-23197	88	15	/	/	SYM
brj-23197	88	16	cm3	cm3	NOUN
brj-23197	88	17	)	)	PUNCT
brj-23197	88	18	,	,	PUNCT
brj-23197	88	19	tilia	tilia	PROPN
brj-23197	88	20	tuan	tuan	PROPN
brj-23197	88	21	(	(	PUNCT
brj-23197	88	22	0.42	0.42	NUM
brj-23197	88	23	to	to	ADP
brj-23197	88	24	0.56	0.56	NUM
brj-23197	88	25	g	g	NOUN
brj-23197	88	26	/	/	SYM
brj-23197	88	27	cm3	cm3	NOUN
brj-23197	88	28	)	)	PUNCT
brj-23197	88	29	and	and	CCONJ
brj-23197	88	30	picea	picea	NOUN
brj-23197	88	31	asperata	asperata	NOUN
brj-23197	88	32	(	(	PUNCT
brj-23197	88	33	0.40	0.40	NUM
brj-23197	88	34	to	to	ADP
brj-23197	88	35	0.52	0.52	NUM
brj-23197	88	36	g	g	NOUN
brj-23197	88	37	/	/	SYM
brj-23197	88	38	cm3	cm3	NOUN
brj-23197	88	39	)	)	PUNCT
brj-23197	88	40	species	specie	NOUN
brj-23197	88	41	with	with	ADP
brj-23197	88	42	similar	similar	ADJ
brj-23197	88	43	air	air	NOUN
brj-23197	88	44	-	-	PUNCT
brj-23197	88	45	dry	dry	ADJ
brj-23197	88	46	densities	density	NOUN
brj-23197	88	47	were	be	AUX
brj-23197	88	48	selected	select	VERB
brj-23197	88	49	,	,	PUNCT
brj-23197	88	50	and	and	CCONJ
brj-23197	88	51	a	a	DET
brj-23197	88	52	hybrid	hybrid	ADJ
brj-23197	88	53	model	model	NOUN
brj-23197	88	54	was	be	AUX
brj-23197	88	55	established	establish	VERB
brj-23197	88	56	between	between	ADP
brj-23197	88	57	each	each	DET
brj-23197	88	58	two	two	NUM
brj-23197	88	59	species	specie	NOUN
brj-23197	88	60	.	.	PUNCT
brj-23197	89	1	the	the	DET
brj-23197	89	2	three	three	NUM
brj-23197	89	3	hybrid	hybrid	ADJ
brj-23197	89	4	models	model	NOUN
brj-23197	89	5	and	and	CCONJ
brj-23197	89	6	their	their	PRON
brj-23197	89	7	evaluation	evaluation	NOUN
brj-23197	89	8	indexes	index	NOUN
brj-23197	89	9	are	be	AUX
brj-23197	89	10	shown	show	VERB
brj-23197	89	11	in	in	ADP
brj-23197	89	12	table	table	NOUN
brj-23197	89	13	4	4	NUM
brj-23197	89	14	.	.	PUNCT
brj-23197	90	1	the	the	DET
brj-23197	90	2	r2	r2	PROPN
brj-23197	90	3	of	of	ADP
brj-23197	90	4	the	the	DET
brj-23197	90	5	three	three	NUM
brj-23197	90	6	hybrid	hybrid	ADJ
brj-23197	90	7	models	model	NOUN
brj-23197	90	8	were	be	AUX
brj-23197	90	9	all	all	ADV
brj-23197	90	10	greater	great	ADJ
brj-23197	90	11	than	than	ADP
brj-23197	90	12	0.8	0.8	NUM
brj-23197	90	13	,	,	PUNCT
brj-23197	90	14	indicating	indicate	VERB
brj-23197	90	15	a	a	DET
brj-23197	90	16	high	high	ADJ
brj-23197	90	17	degree	degree	NOUN
brj-23197	90	18	of	of	ADP
brj-23197	90	19	fit	fit	ADJ
brj-23197	90	20	and	and	CCONJ
brj-23197	90	21	much	much	ADV
brj-23197	90	22	higher	high	ADJ
brj-23197	90	23	than	than	ADP
brj-23197	90	24	the	the	DET
brj-23197	90	25	generic	generic	PROPN
brj-23197	90	26	mc	mc	PROPN
brj-23197	90	27	prediction	prediction	NOUN
brj-23197	90	28	model	model	NOUN
brj-23197	90	29	.	.	PUNCT
brj-23197	91	1	however	however	ADV
brj-23197	91	2	,	,	PUNCT
brj-23197	91	3	compared	compare	VERB
brj-23197	91	4	with	with	ADP
brj-23197	91	5	the	the	DET
brj-23197	91	6	picea	picea	NOUN
brj-23197	91	7	asperata	asperata	PROPN
brj-23197	91	8	-	-	PUNCT
brj-23197	91	9	tilia	tilia	NOUN
brj-23197	91	10	tuan	tuan	PROPN
brj-23197	91	11	and	and	CCONJ
brj-23197	91	12	tilia	tilia	PROPN
brj-23197	91	13	tuan	tuan	PROPN
brj-23197	91	14	-	-	PUNCT
brj-23197	91	15	betula	betula	PROPN
brj-23197	91	16	platyphylla	platyphylla	NOUN
brj-23197	91	17	hybrid	hybrid	NOUN
brj-23197	91	18	models	model	NOUN
brj-23197	91	19	,	,	PUNCT
brj-23197	91	20	the	the	DET
brj-23197	91	21	r2	r2	PROPN
brj-23197	91	22	and	and	CCONJ
brj-23197	91	23	f	f	NOUN
brj-23197	91	24	-	-	PUNCT
brj-23197	91	25	values	value	NOUN
brj-23197	91	26	of	of	ADP
brj-23197	91	27	the	the	DET
brj-23197	91	28	picea	picea	NOUN
brj-23197	91	29	asperata	asperata	PROPN
brj-23197	91	30	peer	peer	NOUN
brj-23197	91	31	-	-	PUNCT
brj-23197	91	32	reviewed	review	VERB
brj-23197	91	33	article	article	NOUN
brj-23197	91	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	91	35	wang	wang	PROPN
brj-23197	91	36	et	et	PROPN
brj-23197	91	37	al	al	PROPN
brj-23197	91	38	.	.	PROPN
brj-23197	92	1	(	(	PUNCT
brj-23197	92	2	2024	2024	NUM
brj-23197	92	3	)	)	PUNCT
brj-23197	92	4	.	.	PUNCT
brj-23197	93	1	“	"	PUNCT
brj-23197	93	2	wood	wood	NOUN
brj-23197	93	3	moisture	moisture	NOUN
brj-23197	93	4	prediction	prediction	NOUN
brj-23197	93	5	,	,	PUNCT
brj-23197	93	6	”	"	PUNCT
brj-23197	93	7	bioresources	bioresource	NOUN
brj-23197	93	8	19(2	19(2	NUM
brj-23197	93	9	)	)	PUNCT
brj-23197	93	10	,	,	PUNCT
brj-23197	93	11	3001	3001	NUM
brj-23197	93	12	-	-	SYM
brj-23197	93	13	3009	3009	NUM
brj-23197	93	14	.	.	PUNCT
brj-23197	94	1	3006	3006	NUM
brj-23197	94	2	betula	betula	PROPN
brj-23197	94	3	platyphylla	platyphylla	PROPN
brj-23197	94	4	hybrid	hybrid	PROPN
brj-23197	94	5	model	model	NOUN
brj-23197	94	6	were	be	AUX
brj-23197	94	7	lower	low	ADJ
brj-23197	94	8	,	,	PUNCT
brj-23197	94	9	and	and	CCONJ
brj-23197	94	10	the	the	DET
brj-23197	94	11	q	q	NOUN
brj-23197	94	12	value	value	NOUN
brj-23197	94	13	was	be	AUX
brj-23197	94	14	twice	twice	ADV
brj-23197	94	15	that	that	PRON
brj-23197	94	16	of	of	ADP
brj-23197	94	17	the	the	DET
brj-23197	94	18	other	other	ADJ
brj-23197	94	19	two	two	NUM
brj-23197	94	20	hybrid	hybrid	ADJ
brj-23197	94	21	models	model	NOUN
brj-23197	94	22	.	.	PUNCT
brj-23197	95	1	the	the	PRON
brj-23197	95	2	was	be	AUX
brj-23197	95	3	attributed	attribute	VERB
brj-23197	95	4	to	to	ADP
brj-23197	95	5	the	the	DET
brj-23197	95	6	relatively	relatively	ADV
brj-23197	95	7	large	large	ADJ
brj-23197	95	8	difference	difference	NOUN
brj-23197	95	9	in	in	ADP
brj-23197	95	10	the	the	DET
brj-23197	95	11	air	air	NOUN
brj-23197	95	12	-	-	PUNCT
brj-23197	95	13	dry	dry	ADJ
brj-23197	95	14	densities	density	NOUN
brj-23197	95	15	of	of	ADP
brj-23197	95	16	spruce	spruce	NOUN
brj-23197	95	17	and	and	CCONJ
brj-23197	95	18	birch	birch	NOUN
brj-23197	95	19	.	.	PUNCT
brj-23197	96	1	therefore	therefore	ADV
brj-23197	96	2	,	,	PUNCT
brj-23197	96	3	if	if	SCONJ
brj-23197	96	4	the	the	DET
brj-23197	96	5	air	air	NOUN
brj-23197	96	6	-	-	PUNCT
brj-23197	96	7	dry	dry	ADJ
brj-23197	96	8	densities	density	NOUN
brj-23197	96	9	of	of	ADP
brj-23197	96	10	different	different	ADJ
brj-23197	96	11	tree	tree	NOUN
brj-23197	96	12	species	specie	NOUN
brj-23197	96	13	are	be	AUX
brj-23197	96	14	essentially	essentially	ADV
brj-23197	96	15	the	the	DET
brj-23197	96	16	same	same	ADJ
brj-23197	96	17	,	,	PUNCT
brj-23197	96	18	a	a	DET
brj-23197	96	19	generic	generic	ADJ
brj-23197	96	20	mc	mc	PROPN
brj-23197	96	21	prediction	prediction	NOUN
brj-23197	96	22	model	model	NOUN
brj-23197	96	23	can	can	AUX
brj-23197	96	24	be	be	AUX
brj-23197	96	25	constructed	construct	VERB
brj-23197	96	26	.	.	PUNCT
brj-23197	97	1	fig	fig	NOUN
brj-23197	97	2	.	.	PUNCT
brj-23197	98	1	3	3	X
brj-23197	98	2	.	.	X
brj-23197	98	3	species	specie	NOUN
brj-23197	98	4	-	-	PUNCT
brj-23197	98	5	specific	specific	ADJ
brj-23197	98	6	mc	mc	NOUN
brj-23197	98	7	prediction	prediction	NOUN
brj-23197	98	8	models	model	NOUN
brj-23197	98	9	for	for	ADP
brj-23197	98	10	ash	ash	NOUN
brj-23197	98	11	and	and	CCONJ
brj-23197	98	12	spruce	spruce	NOUN
brj-23197	98	13	and	and	CCONJ
brj-23197	98	14	a	a	DET
brj-23197	98	15	generic	generic	ADJ
brj-23197	98	16	mc	mc	PROPN
brj-23197	98	17	prediction	prediction	NOUN
brj-23197	98	18	model	model	NOUN
brj-23197	98	19	for	for	ADP
brj-23197	98	20	the	the	DET
brj-23197	98	21	four	four	NUM
brj-23197	98	22	tree	tree	NOUN
brj-23197	98	23	species	specie	NOUN
brj-23197	98	24	table	table	NOUN
brj-23197	98	25	4	4	NUM
brj-23197	98	26	.	.	PUNCT
brj-23197	98	27	hybrid	hybrid	ADJ
brj-23197	98	28	models	model	NOUN
brj-23197	98	29	and	and	CCONJ
brj-23197	98	30	evaluation	evaluation	NOUN
brj-23197	98	31	indicators	indicator	NOUN
brj-23197	98	32	name	name	VERB
brj-23197	98	33	model	model	NOUN
brj-23197	98	34	r2	r2	PROPN
brj-23197	98	35	q	q	PROPN
brj-23197	98	36	f	f	PROPN
brj-23197	98	37	picea	picea	PROPN
brj-23197	98	38	asperatatilia	asperatatilia	PROPN
brj-23197	98	39	tuan	tuan	PROPN
brj-23197	98	40	y	y	PROPN
brj-23197	98	41	=	=	PUNCT
brj-23197	99	1	-0.003x2	-0.003x2	PROPN
brj-23197	100	1	+	+	X
brj-23197	100	2	0.296x	0.296x	NUM
brj-23197	100	3	–	–	PUNCT
brj-23197	100	4	3.812	3.812	NUM
brj-23197	100	5	0.96	0.96	NUM
brj-23197	100	6	1.012	1.012	NUM
brj-23197	100	7	1139.1	1139.1	NUM
brj-23197	100	8	tilia	tilia	PROPN
brj-23197	100	9	tuan	tuan	PROPN
brj-23197	100	10	-	-	PUNCT
brj-23197	100	11	betula	betula	PROPN
brj-23197	100	12	platyphylla	platyphylla	NOUN
brj-23197	100	13	y	y	PROPN
brj-23197	100	14	=	=	PUNCT
brj-23197	100	15	-0.0037x2	-0.0037x2	PROPN
brj-23197	100	16	+	+	CCONJ
brj-23197	100	17	0.044x	0.044x	NUM
brj-23197	100	18	–	–	PUNCT
brj-23197	100	19	1.499	1.499	NUM
brj-23197	100	20	0.95	0.95	NUM
brj-23197	100	21	1.033	1.033	NUM
brj-23197	100	22	901.8	901.8	NUM
brj-23197	100	23	picea	picea	NOUN
brj-23197	100	24	asperatabetula	asperatabetula	VERB
brj-23197	100	25	platyphylla	platyphylla	NOUN
brj-23197	100	26	y	y	PROPN
brj-23197	100	27	=	=	PUNCT
brj-23197	100	28	-0.0003x2	-0.0003x2	PROPN
brj-23197	100	29	+	+	NUM
brj-23197	100	30	0.194x	0.194x	NUM
brj-23197	100	31	–	–	PUNCT
brj-23197	100	32	2.813	2.813	NUM
brj-23197	100	33	0.80	0.80	NUM
brj-23197	100	34	2.156	2.156	NUM
brj-23197	100	35	158.2	158.2	NUM
brj-23197	100	36	field	field	NOUN
brj-23197	100	37	calibration	calibration	NOUN
brj-23197	100	38	of	of	ADP
brj-23197	100	39	species	specie	NOUN
brj-23197	100	40	-	-	PUNCT
brj-23197	100	41	specific	specific	ADJ
brj-23197	100	42	mc	mc	PROPN
brj-23197	100	43	model	model	NOUN
brj-23197	100	44	to	to	PART
brj-23197	100	45	accurately	accurately	ADV
brj-23197	100	46	monitor	monitor	VERB
brj-23197	100	47	mc	mc	PROPN
brj-23197	100	48	of	of	ADP
brj-23197	100	49	standing	stand	VERB
brj-23197	100	50	trees	tree	NOUN
brj-23197	100	51	in	in	ADP
brj-23197	100	52	real	real	ADJ
brj-23197	100	53	time	time	NOUN
brj-23197	100	54	,	,	PUNCT
brj-23197	100	55	four	four	NUM
brj-23197	100	56	species	specie	NOUN
brj-23197	100	57	-	-	PUNCT
brj-23197	100	58	specific	specific	ADJ
brj-23197	100	59	mc	mc	NOUN
brj-23197	100	60	prediction	prediction	NOUN
brj-23197	100	61	models	model	NOUN
brj-23197	100	62	were	be	AUX
brj-23197	100	63	applied	apply	VERB
brj-23197	100	64	to	to	ADP
brj-23197	100	65	the	the	DET
brj-23197	100	66	field	field	NOUN
brj-23197	100	67	tests	test	NOUN
brj-23197	100	68	.	.	PUNCT
brj-23197	101	1	the	the	DET
brj-23197	101	2	relationship	relationship	NOUN
brj-23197	101	3	between	between	ADP
brj-23197	101	4	ewpt	ewpt	NOUN
brj-23197	101	5	and	and	CCONJ
brj-23197	101	6	actual	actual	ADJ
brj-23197	101	7	values	value	NOUN
brj-23197	101	8	of	of	ADP
brj-23197	101	9	mc	mc	PROPN
brj-23197	101	10	in	in	ADP
brj-23197	101	11	standing	stand	VERB
brj-23197	101	12	trees	tree	NOUN
brj-23197	101	13	,	,	PUNCT
brj-23197	101	14	as	as	ADV
brj-23197	101	15	well	well	ADV
brj-23197	101	16	as	as	ADP
brj-23197	101	17	the	the	DET
brj-23197	101	18	predicted	predict	VERB
brj-23197	101	19	values	value	NOUN
brj-23197	101	20	of	of	ADP
brj-23197	101	21	the	the	DET
brj-23197	101	22	species	species	NOUN
brj-23197	101	23	-	-	PUNCT
brj-23197	101	24	specific	specific	ADJ
brj-23197	101	25	mc	mc	NOUN
brj-23197	101	26	prediction	prediction	NOUN
brj-23197	101	27	models	model	NOUN
brj-23197	101	28	are	be	AUX
brj-23197	101	29	shown	show	VERB
brj-23197	101	30	in	in	ADP
brj-23197	101	31	fig	fig	NOUN
brj-23197	101	32	.	.	PUNCT
brj-23197	102	1	4	4	X
brj-23197	102	2	.	.	X
brj-23197	102	3	the	the	DET
brj-23197	102	4	relationship	relationship	NOUN
brj-23197	102	5	between	between	ADP
brj-23197	102	6	ewpt	ewpt	NOUN
brj-23197	102	7	and	and	CCONJ
brj-23197	102	8	mc	mc	PROPN
brj-23197	102	9	in	in	ADP
brj-23197	102	10	standing	stand	VERB
brj-23197	102	11	trees	tree	NOUN
brj-23197	102	12	showed	show	VERB
brj-23197	102	13	a	a	DET
brj-23197	102	14	similar	similar	ADJ
brj-23197	102	15	trend	trend	NOUN
brj-23197	102	16	to	to	ADP
brj-23197	102	17	that	that	PRON
brj-23197	102	18	of	of	ADP
brj-23197	102	19	the	the	DET
brj-23197	102	20	indoor	indoor	ADJ
brj-23197	102	21	experimental	experimental	ADJ
brj-23197	102	22	data	datum	NOUN
brj-23197	102	23	,	,	PUNCT
brj-23197	102	24	which	which	PRON
brj-23197	102	25	also	also	ADV
brj-23197	102	26	supports	support	VERB
brj-23197	102	27	the	the	DET
brj-23197	102	28	feasibility	feasibility	NOUN
brj-23197	102	29	of	of	ADP
brj-23197	102	30	using	use	VERB
brj-23197	102	31	tdr	tdr	PROPN
brj-23197	102	32	to	to	PART
brj-23197	102	33	monitor	monitor	VERB
brj-23197	102	34	the	the	DET
brj-23197	102	35	mc	mc	PROPN
brj-23197	102	36	of	of	ADP
brj-23197	102	37	standing	standing	PROPN
brj-23197	102	38	trees	tree	NOUN
brj-23197	102	39	.	.	PUNCT
brj-23197	103	1	using	use	VERB
brj-23197	103	2	the	the	DET
brj-23197	103	3	species	specie	NOUN
brj-23197	103	4	-	-	PUNCT
brj-23197	103	5	specific	specific	ADJ
brj-23197	103	6	mc	mc	PROPN
brj-23197	103	7	prediction	prediction	NOUN
brj-23197	103	8	model	model	NOUN
brj-23197	103	9	obtained	obtain	VERB
brj-23197	103	10	from	from	ADP
brj-23197	103	11	the	the	DET
brj-23197	103	12	indoor	indoor	ADJ
brj-23197	103	13	experiments	experiment	NOUN
brj-23197	103	14	to	to	PART
brj-23197	103	15	calculate	calculate	VERB
brj-23197	103	16	the	the	DET
brj-23197	103	17	predicted	predict	VERB
brj-23197	103	18	values	value	NOUN
brj-23197	103	19	of	of	ADP
brj-23197	103	20	standing	standing	PROPN
brj-23197	103	21	trees	trees	PROPN
brj-23197	103	22	mc	mc	PROPN
brj-23197	103	23	,	,	PUNCT
brj-23197	103	24	the	the	DET
brj-23197	103	25	results	result	NOUN
brj-23197	103	26	showed	show	VERB
brj-23197	103	27	that	that	SCONJ
brj-23197	103	28	the	the	DET
brj-23197	103	29	predicted	predict	VERB
brj-23197	103	30	values	value	NOUN
brj-23197	103	31	of	of	ADP
brj-23197	103	32	white	white	PROPN
brj-23197	103	33	birch	birch	PROPN
brj-23197	103	34	had	have	VERB
brj-23197	103	35	the	the	DET
brj-23197	103	36	smallest	small	ADJ
brj-23197	103	37	difference	difference	NOUN
brj-23197	103	38	from	from	ADP
brj-23197	103	39	the	the	DET
brj-23197	103	40	true	true	ADJ
brj-23197	103	41	values	value	NOUN
brj-23197	103	42	,	,	PUNCT
brj-23197	103	43	with	with	ADP
brj-23197	103	44	an	an	DET
brj-23197	103	45	average	average	ADJ
brj-23197	103	46	difference	difference	NOUN
brj-23197	103	47	of	of	ADP
brj-23197	103	48	10.8	10.8	NUM
brj-23197	103	49	%	%	NOUN
brj-23197	103	50	,	,	PUNCT
brj-23197	103	51	and	and	CCONJ
brj-23197	103	52	the	the	DET
brj-23197	103	53	predicted	predict	VERB
brj-23197	103	54	values	value	NOUN
brj-23197	103	55	of	of	ADP
brj-23197	103	56	spruce	spruce	NOUN
brj-23197	103	57	had	have	VERB
brj-23197	103	58	the	the	DET
brj-23197	103	59	largest	large	ADJ
brj-23197	103	60	difference	difference	NOUN
brj-23197	103	61	from	from	ADP
brj-23197	103	62	the	the	DET
brj-23197	103	63	true	true	ADJ
brj-23197	103	64	values	value	NOUN
brj-23197	103	65	,	,	PUNCT
brj-23197	103	66	with	with	ADP
brj-23197	103	67	an	an	DET
brj-23197	103	68	average	average	ADJ
brj-23197	103	69	difference	difference	NOUN
brj-23197	103	70	of	of	ADP
brj-23197	103	71	58.8	58.8	NUM
brj-23197	103	72	%	%	NOUN
brj-23197	103	73	.	.	PUNCT
brj-23197	104	1	in	in	ADP
brj-23197	104	2	addition	addition	NOUN
brj-23197	104	3	,	,	PUNCT
brj-23197	104	4	the	the	DET
brj-23197	104	5	predicted	predict	VERB
brj-23197	104	6	values	value	NOUN
brj-23197	104	7	of	of	ADP
brj-23197	104	8	all	all	DET
brj-23197	104	9	tree	tree	NOUN
brj-23197	104	10	species	specie	NOUN
brj-23197	104	11	were	be	AUX
brj-23197	104	12	larger	large	ADJ
brj-23197	104	13	than	than	ADP
brj-23197	104	14	the	the	DET
brj-23197	104	15	true	true	ADJ
brj-23197	104	16	values	value	NOUN
brj-23197	104	17	,	,	PUNCT
brj-23197	104	18	which	which	PRON
brj-23197	104	19	may	may	AUX
brj-23197	104	20	be	be	AUX
brj-23197	104	21	induced	induce	VERB
brj-23197	104	22	by	by	ADP
brj-23197	104	23	many	many	ADJ
brj-23197	104	24	factors	factor	NOUN
brj-23197	104	25	,	,	PUNCT
brj-23197	104	26	such	such	ADJ
brj-23197	104	27	as	as	ADP
brj-23197	104	28	complex	complex	ADJ
brj-23197	104	29	environmental	environmental	ADJ
brj-23197	104	30	factors	factor	NOUN
brj-23197	104	31	,	,	PUNCT
brj-23197	104	32	loss	loss	NOUN
brj-23197	104	33	of	of	ADP
brj-23197	104	34	sap	sap	NOUN
brj-23197	104	35	during	during	ADP
brj-23197	104	36	drilling	drilling	NOUN
brj-23197	104	37	process	process	NOUN
brj-23197	104	38	and	and	CCONJ
brj-23197	104	39	relative	relative	ADJ
brj-23197	104	40	concentrated	concentrate	VERB
brj-23197	104	41	mc	mc	PROPN
brj-23197	104	42	variation	variation	NOUN
brj-23197	104	43	range	range	NOUN
brj-23197	104	44	of	of	ADP
brj-23197	104	45	standing	standing	NOUN
brj-23197	104	46	tree	tree	NOUN
brj-23197	104	47	.	.	PUNCT
brj-23197	105	1	in	in	ADP
brj-23197	105	2	addition	addition	NOUN
brj-23197	105	3	,	,	PUNCT
brj-23197	105	4	the	the	DET
brj-23197	105	5	distribution	distribution	NOUN
brj-23197	105	6	of	of	ADP
brj-23197	105	7	moisture	moisture	NOUN
brj-23197	105	8	in	in	ADP
brj-23197	105	9	standing	stand	VERB
brj-23197	105	10	trees	tree	NOUN
brj-23197	105	11	can	can	AUX
brj-23197	105	12	be	be	AUX
brj-23197	105	13	very	very	ADV
brj-23197	105	14	different	different	ADJ
brj-23197	105	15	from	from	ADP
brj-23197	105	16	that	that	PRON
brj-23197	105	17	in	in	ADP
brj-23197	105	18	progressively	progressively	ADV
brj-23197	105	19	drying	dry	VERB
brj-23197	105	20	discs	disc	NOUN
brj-23197	105	21	of	of	ADP
brj-23197	105	22	wood	wood	NOUN
brj-23197	105	23	after	after	ADP
brj-23197	105	24	soaking	soak	VERB
brj-23197	105	25	,	,	PUNCT
brj-23197	105	26	so	so	CCONJ
brj-23197	105	27	the	the	DET
brj-23197	105	28	indoor	indoor	ADJ
brj-23197	105	29	model	model	NOUN
brj-23197	105	30	can	can	AUX
brj-23197	105	31	produce	produce	VERB
brj-23197	105	32	large	large	ADJ
brj-23197	105	33	peer	peer	NOUN
brj-23197	105	34	-	-	PUNCT
brj-23197	105	35	reviewed	review	VERB
brj-23197	105	36	article	article	NOUN
brj-23197	105	37	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	105	38	wang	wang	PROPN
brj-23197	105	39	et	et	PROPN
brj-23197	105	40	al	al	PROPN
brj-23197	105	41	.	.	PROPN
brj-23197	106	1	(	(	PUNCT
brj-23197	106	2	2024	2024	NUM
brj-23197	106	3	)	)	PUNCT
brj-23197	106	4	.	.	PUNCT
brj-23197	107	1	“	"	PUNCT
brj-23197	107	2	wood	wood	NOUN
brj-23197	107	3	moisture	moisture	NOUN
brj-23197	107	4	prediction	prediction	NOUN
brj-23197	107	5	,	,	PUNCT
brj-23197	107	6	”	"	PUNCT
brj-23197	107	7	bioresources	bioresource	NOUN
brj-23197	107	8	19(2	19(2	NUM
brj-23197	107	9	)	)	PUNCT
brj-23197	107	10	,	,	PUNCT
brj-23197	107	11	3001	3001	NUM
brj-23197	107	12	-	-	SYM
brj-23197	107	13	3009	3009	NUM
brj-23197	107	14	.	.	PUNCT
brj-23197	108	1	3007	3007	NUM
brj-23197	108	2	errors	error	NOUN
brj-23197	108	3	when	when	SCONJ
brj-23197	108	4	used	use	VERB
brj-23197	108	5	as	as	ADP
brj-23197	108	6	a	a	DET
brj-23197	108	7	predictor	predictor	NOUN
brj-23197	108	8	for	for	ADP
brj-23197	108	9	outdoor	outdoor	ADJ
brj-23197	108	10	experiments	experiment	NOUN
brj-23197	108	11	.	.	PUNCT
brj-23197	109	1	thus	thus	ADV
brj-23197	109	2	further	further	ADJ
brj-23197	109	3	study	study	NOUN
brj-23197	109	4	is	be	AUX
brj-23197	109	5	needed	need	VERB
brj-23197	109	6	for	for	ADP
brj-23197	109	7	accurately	accurately	ADV
brj-23197	109	8	estimating	estimate	VERB
brj-23197	109	9	tree	tree	NOUN
brj-23197	109	10	mc	mc	PROPN
brj-23197	109	11	.	.	PROPN
brj-23197	109	12	overall	overall	PROPN
brj-23197	109	13	,	,	PUNCT
brj-23197	109	14	field	field	NOUN
brj-23197	109	15	test	test	NOUN
brj-23197	109	16	data	datum	NOUN
brj-23197	109	17	proved	prove	VERB
brj-23197	109	18	that	that	SCONJ
brj-23197	109	19	tdr	tdr	PROPN
brj-23197	109	20	can	can	AUX
brj-23197	109	21	be	be	AUX
brj-23197	109	22	used	use	VERB
brj-23197	109	23	to	to	PART
brj-23197	109	24	detect	detect	VERB
brj-23197	109	25	tree	tree	NOUN
brj-23197	109	26	mc	mc	PROPN
brj-23197	109	27	.	.	PROPN
brj-23197	109	28	fig	fig	PROPN
brj-23197	109	29	.	.	PUNCT
brj-23197	110	1	4	4	X
brj-23197	110	2	.	.	X
brj-23197	110	3	actual	actual	ADJ
brj-23197	110	4	(	(	PUNCT
brj-23197	110	5	point	point	NOUN
brj-23197	110	6	)	)	PUNCT
brj-23197	110	7	vs.	vs.	CCONJ
brj-23197	110	8	predicted	predict	VERB
brj-23197	110	9	(	(	PUNCT
brj-23197	110	10	line	line	NOUN
brj-23197	110	11	)	)	PUNCT
brj-23197	110	12	mc	mc	PROPN
brj-23197	110	13	of	of	ADP
brj-23197	110	14	standing	standing	PROPN
brj-23197	110	15	trees	tree	NOUN
brj-23197	110	16	conclusions	conclusion	NOUN
brj-23197	110	17	1	1	NUM
brj-23197	110	18	.	.	PUNCT
brj-23197	110	19	indoor	indoor	ADJ
brj-23197	110	20	and	and	CCONJ
brj-23197	110	21	field	field	NOUN
brj-23197	110	22	experiments	experiment	NOUN
brj-23197	110	23	on	on	ADP
brj-23197	110	24	moisture	moisture	NOUN
brj-23197	110	25	content	content	NOUN
brj-23197	110	26	(	(	PUNCT
brj-23197	110	27	mc	mc	PROPN
brj-23197	110	28	)	)	PUNCT
brj-23197	110	29	detection	detection	NOUN
brj-23197	110	30	of	of	ADP
brj-23197	110	31	betula	betula	ADJ
brj-23197	110	32	platyphylla	platyphylla	PROPN
brj-23197	110	33	,	,	PUNCT
brj-23197	110	34	tilia	tilia	PROPN
brj-23197	110	35	tuan	tuan	PROPN
brj-23197	110	36	,	,	PUNCT
brj-23197	110	37	picea	picea	NOUN
brj-23197	110	38	asperata	asperata	NOUN
brj-23197	110	39	,	,	PUNCT
brj-23197	110	40	and	and	CCONJ
brj-23197	110	41	fraxinus	fraxinus	PROPN
brj-23197	110	42	mandshurica	mandshurica	PROPN
brj-23197	110	43	showed	show	VERB
brj-23197	110	44	that	that	SCONJ
brj-23197	110	45	there	there	PRON
brj-23197	110	46	was	be	VERB
brj-23197	110	47	a	a	DET
brj-23197	110	48	strong	strong	ADJ
brj-23197	110	49	correlation	correlation	NOUN
brj-23197	110	50	between	between	ADP
brj-23197	110	51	electromagnetic	electromagnetic	ADJ
brj-23197	110	52	wave	wave	NOUN
brj-23197	110	53	propagation	propagation	NOUN
brj-23197	110	54	time	time	NOUN
brj-23197	110	55	(	(	PUNCT
brj-23197	110	56	ewpt	ewpt	INTJ
brj-23197	110	57	)	)	PUNCT
brj-23197	110	58	and	and	CCONJ
brj-23197	110	59	mc	mc	PROPN
brj-23197	110	60	,	,	PUNCT
brj-23197	110	61	and	and	CCONJ
brj-23197	110	62	the	the	DET
brj-23197	110	63	correlation	correlation	NOUN
brj-23197	110	64	was	be	AUX
brj-23197	110	65	affected	affect	VERB
brj-23197	110	66	by	by	ADP
brj-23197	110	67	the	the	DET
brj-23197	110	68	insertion	insertion	NOUN
brj-23197	110	69	depth	depth	NOUN
brj-23197	110	70	of	of	ADP
brj-23197	110	71	the	the	DET
brj-23197	110	72	probe	probe	NOUN
brj-23197	110	73	.	.	PUNCT
brj-23197	111	1	2	2	X
brj-23197	111	2	.	.	X
brj-23197	111	3	species	specie	NOUN
brj-23197	111	4	-	-	PUNCT
brj-23197	111	5	specific	specific	ADJ
brj-23197	111	6	mc	mc	NOUN
brj-23197	111	7	prediction	prediction	NOUN
brj-23197	111	8	models	model	NOUN
brj-23197	111	9	with	with	ADP
brj-23197	111	10	different	different	ADJ
brj-23197	111	11	insertion	insertion	NOUN
brj-23197	111	12	depths	depth	NOUN
brj-23197	111	13	were	be	AUX
brj-23197	111	14	constructed	construct	VERB
brj-23197	111	15	based	base	VERB
brj-23197	111	16	on	on	ADP
brj-23197	111	17	the	the	DET
brj-23197	111	18	data	datum	NOUN
brj-23197	111	19	from	from	ADP
brj-23197	111	20	the	the	DET
brj-23197	111	21	indoor	indoor	ADJ
brj-23197	111	22	experiments	experiment	NOUN
brj-23197	111	23	.	.	PUNCT
brj-23197	112	1	the	the	DET
brj-23197	112	2	results	result	NOUN
brj-23197	112	3	showed	show	VERB
brj-23197	112	4	that	that	SCONJ
brj-23197	112	5	the	the	DET
brj-23197	112	6	linear	linear	ADJ
brj-23197	112	7	and	and	CCONJ
brj-23197	112	8	quadratic	quadratic	ADJ
brj-23197	112	9	polynomial	polynomial	ADJ
brj-23197	112	10	models	model	NOUN
brj-23197	112	11	constructed	construct	VERB
brj-23197	112	12	at	at	ADP
brj-23197	112	13	an	an	DET
brj-23197	112	14	insertion	insertion	NOUN
brj-23197	112	15	depth	depth	NOUN
brj-23197	112	16	of	of	ADP
brj-23197	112	17	8	8	NUM
brj-23197	112	18	cm	cm	NOUN
brj-23197	112	19	were	be	AUX
brj-23197	112	20	highly	highly	ADV
brj-23197	112	21	predictive	predictive	ADJ
brj-23197	112	22	.	.	PUNCT
brj-23197	113	1	3	3	X
brj-23197	113	2	.	.	X
brj-23197	113	3	the	the	DET
brj-23197	113	4	quadratic	quadratic	ADJ
brj-23197	113	5	polynomial	polynomial	ADJ
brj-23197	113	6	model	model	NOUN
brj-23197	113	7	was	be	AUX
brj-23197	113	8	utilized	utilize	VERB
brj-23197	113	9	to	to	PART
brj-23197	113	10	construct	construct	VERB
brj-23197	113	11	a	a	DET
brj-23197	113	12	generic	generic	ADJ
brj-23197	113	13	mc	mc	PROPN
brj-23197	113	14	prediction	prediction	NOUN
brj-23197	113	15	model	model	NOUN
brj-23197	113	16	for	for	ADP
brj-23197	113	17	the	the	DET
brj-23197	113	18	four	four	NUM
brj-23197	113	19	tree	tree	NOUN
brj-23197	113	20	species	specie	NOUN
brj-23197	113	21	,	,	PUNCT
brj-23197	113	22	but	but	CCONJ
brj-23197	113	23	with	with	ADP
brj-23197	113	24	a	a	DET
brj-23197	113	25	lower	low	ADJ
brj-23197	113	26	accuracy	accuracy	NOUN
brj-23197	113	27	(	(	PUNCT
brj-23197	113	28	r2	r2	PROPN
brj-23197	113	29	=	=	SYM
brj-23197	113	30	0.65	0.65	NUM
brj-23197	113	31	)	)	PUNCT
brj-23197	113	32	.	.	PUNCT
brj-23197	114	1	this	this	PRON
brj-23197	114	2	may	may	AUX
brj-23197	114	3	be	be	AUX
brj-23197	114	4	related	relate	VERB
brj-23197	114	5	to	to	ADP
brj-23197	114	6	the	the	DET
brj-23197	114	7	differences	difference	NOUN
brj-23197	114	8	in	in	ADP
brj-23197	114	9	air	air	NOUN
brj-23197	114	10	-	-	PUNCT
brj-23197	114	11	dry	dry	ADJ
brj-23197	114	12	density	density	NOUN
brj-23197	114	13	of	of	ADP
brj-23197	114	14	different	different	ADJ
brj-23197	114	15	tree	tree	NOUN
brj-23197	114	16	species	specie	NOUN
brj-23197	114	17	.	.	PUNCT
brj-23197	115	1	the	the	DET
brj-23197	115	2	data	datum	NOUN
brj-23197	115	3	of	of	ADP
brj-23197	115	4	tree	tree	NOUN
brj-23197	115	5	species	specie	NOUN
brj-23197	115	6	with	with	ADP
brj-23197	115	7	similar	similar	ADJ
brj-23197	115	8	air	air	NOUN
brj-23197	115	9	-	-	PUNCT
brj-23197	115	10	dry	dry	ADJ
brj-23197	115	11	density	density	NOUN
brj-23197	115	12	were	be	AUX
brj-23197	115	13	used	use	VERB
brj-23197	115	14	to	to	PART
brj-23197	115	15	construct	construct	VERB
brj-23197	115	16	picea	picea	NOUN
brj-23197	115	17	asperata	asperata	PROPN
brj-23197	115	18	-	-	PUNCT
brj-23197	115	19	tilia	tilia	PROPN
brj-23197	115	20	tuan	tuan	PROPN
brj-23197	115	21	,	,	PUNCT
brj-23197	115	22	tilia	tilia	PROPN
brj-23197	115	23	tuan	tuan	PROPN
brj-23197	115	24	-	-	PUNCT
brj-23197	115	25	betula	betula	PROPN
brj-23197	115	26	platyphylla	platyphylla	NOUN
brj-23197	115	27	,	,	PUNCT
brj-23197	115	28	and	and	CCONJ
brj-23197	115	29	picea	picea	NOUN
brj-23197	115	30	asperata	asperata	NOUN
brj-23197	115	31	-	-	PUNCT
brj-23197	115	32	betula	betula	PROPN
brj-23197	115	33	platyphylla	platyphylla	NOUN
brj-23197	115	34	hybrid	hybrid	NOUN
brj-23197	115	35	models	model	NOUN
brj-23197	115	36	,	,	PUNCT
brj-23197	115	37	and	and	CCONJ
brj-23197	115	38	the	the	DET
brj-23197	115	39	r2	r2	PROPN
brj-23197	115	40	was	be	AUX
brj-23197	115	41	0.96	0.96	NUM
brj-23197	115	42	,	,	PUNCT
brj-23197	115	43	0.95	0.95	NUM
brj-23197	115	44	,	,	PUNCT
brj-23197	115	45	and	and	CCONJ
brj-23197	115	46	0.80	0.80	NUM
brj-23197	115	47	,	,	PUNCT
brj-23197	115	48	respectively	respectively	ADV
brj-23197	115	49	.	.	PUNCT
brj-23197	116	1	this	this	PRON
brj-23197	116	2	means	mean	VERB
brj-23197	116	3	that	that	SCONJ
brj-23197	116	4	the	the	DET
brj-23197	116	5	same	same	ADJ
brj-23197	116	6	mc	mc	PROPN
brj-23197	116	7	prediction	prediction	NOUN
brj-23197	116	8	model	model	NOUN
brj-23197	116	9	could	could	AUX
brj-23197	116	10	be	be	AUX
brj-23197	116	11	used	use	VERB
brj-23197	116	12	for	for	ADP
brj-23197	116	13	tree	tree	NOUN
brj-23197	116	14	species	specie	NOUN
brj-23197	116	15	with	with	ADP
brj-23197	116	16	similar	similar	ADJ
brj-23197	116	17	density	density	NOUN
brj-23197	116	18	.	.	PUNCT
brj-23197	117	1	4	4	X
brj-23197	117	2	.	.	X
brj-23197	117	3	in	in	ADP
brj-23197	117	4	the	the	DET
brj-23197	117	5	field	field	NOUN
brj-23197	117	6	experiments	experiment	NOUN
brj-23197	117	7	,	,	PUNCT
brj-23197	117	8	the	the	DET
brj-23197	117	9	ewpt	ewpt	NOUN
brj-23197	117	10	and	and	CCONJ
brj-23197	117	11	mc	mc	PROPN
brj-23197	117	12	also	also	ADV
brj-23197	117	13	had	have	VERB
brj-23197	117	14	a	a	DET
brj-23197	117	15	similar	similar	ADJ
brj-23197	117	16	trend	trend	NOUN
brj-23197	117	17	to	to	ADP
brj-23197	117	18	the	the	DET
brj-23197	117	19	indoor	indoor	ADJ
brj-23197	117	20	experiments	experiment	NOUN
brj-23197	117	21	,	,	PUNCT
brj-23197	117	22	but	but	CCONJ
brj-23197	117	23	the	the	DET
brj-23197	117	24	mc	mc	PROPN
brj-23197	117	25	calculated	calculate	VERB
brj-23197	117	26	using	use	VERB
brj-23197	117	27	the	the	DET
brj-23197	117	28	species	specie	NOUN
brj-23197	117	29	-	-	PUNCT
brj-23197	117	30	specific	specific	ADJ
brj-23197	117	31	mc	mc	PROPN
brj-23197	117	32	prediction	prediction	NOUN
brj-23197	117	33	model	model	NOUN
brj-23197	117	34	was	be	AUX
brj-23197	117	35	higher	high	ADJ
brj-23197	117	36	than	than	ADP
brj-23197	117	37	the	the	DET
brj-23197	117	38	actual	actual	ADJ
brj-23197	117	39	value	value	NOUN
brj-23197	117	40	,	,	PUNCT
brj-23197	117	41	which	which	PRON
brj-23197	117	42	may	may	AUX
brj-23197	117	43	be	be	AUX
brj-23197	117	44	related	relate	VERB
brj-23197	117	45	to	to	ADP
brj-23197	117	46	environmental	environmental	ADJ
brj-23197	117	47	factors	factor	NOUN
brj-23197	117	48	and	and	CCONJ
brj-23197	117	49	sap	sap	PROPN
brj-23197	117	50	loss	loss	NOUN
brj-23197	117	51	after	after	ADP
brj-23197	117	52	drilling	drill	VERB
brj-23197	117	53	.	.	PUNCT
brj-23197	118	1	5	5	X
brj-23197	118	2	.	.	X
brj-23197	118	3	the	the	DET
brj-23197	118	4	natural	natural	ADJ
brj-23197	118	5	variability	variability	NOUN
brj-23197	118	6	and	and	CCONJ
brj-23197	118	7	density	density	NOUN
brj-23197	118	8	differences	difference	NOUN
brj-23197	118	9	in	in	ADP
brj-23197	118	10	the	the	DET
brj-23197	118	11	trunks	trunk	NOUN
brj-23197	118	12	of	of	ADP
brj-23197	118	13	different	different	ADJ
brj-23197	118	14	tree	tree	NOUN
brj-23197	118	15	species	specie	NOUN
brj-23197	118	16	can	can	AUX
brj-23197	118	17	lead	lead	VERB
brj-23197	118	18	to	to	ADP
brj-23197	118	19	variations	variation	NOUN
brj-23197	118	20	in	in	ADP
brj-23197	118	21	trunk	trunk	NOUN
brj-23197	118	22	moisture	moisture	NOUN
brj-23197	118	23	distribution	distribution	NOUN
brj-23197	118	24	,	,	PUNCT
brj-23197	118	25	resulting	result	VERB
brj-23197	118	26	in	in	ADP
brj-23197	118	27	large	large	ADJ
brj-23197	118	28	differences	difference	NOUN
brj-23197	118	29	in	in	ADP
brj-23197	118	30	mc	mc	PROPN
brj-23197	118	31	,	,	PUNCT
brj-23197	118	32	peer	peer	NOUN
brj-23197	118	33	-	-	PUNCT
brj-23197	118	34	reviewed	review	VERB
brj-23197	118	35	article	article	NOUN
brj-23197	118	36	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	118	37	wang	wang	PROPN
brj-23197	118	38	et	et	PROPN
brj-23197	118	39	al	al	PROPN
brj-23197	118	40	.	.	PROPN
brj-23197	119	1	(	(	PUNCT
brj-23197	119	2	2024	2024	NUM
brj-23197	119	3	)	)	PUNCT
brj-23197	119	4	.	.	PUNCT
brj-23197	120	1	“	"	PUNCT
brj-23197	120	2	wood	wood	NOUN
brj-23197	120	3	moisture	moisture	NOUN
brj-23197	120	4	prediction	prediction	NOUN
brj-23197	120	5	,	,	PUNCT
brj-23197	120	6	”	"	PUNCT
brj-23197	120	7	bioresources	bioresource	NOUN
brj-23197	120	8	19(2	19(2	NUM
brj-23197	120	9	)	)	PUNCT
brj-23197	120	10	,	,	PUNCT
brj-23197	120	11	3001	3001	NUM
brj-23197	120	12	-	-	SYM
brj-23197	120	13	3009	3009	NUM
brj-23197	120	14	.	.	PUNCT
brj-23197	120	15	3008	3008	NUM
brj-23197	120	16	which	which	PRON
brj-23197	120	17	makes	make	VERB
brj-23197	120	18	time	time	NOUN
brj-23197	120	19	domain	domain	NOUN
brj-23197	120	20	reflectometry	reflectometry	NOUN
brj-23197	120	21	(	(	PUNCT
brj-23197	120	22	tdr	tdr	PROPN
brj-23197	120	23	)	)	PUNCT
brj-23197	120	24	field	field	NOUN
brj-23197	120	25	monitoring	monitor	VERB
brj-23197	120	26	difficult	difficult	ADJ
brj-23197	120	27	.	.	PUNCT
brj-23197	121	1	the	the	DET
brj-23197	121	2	indoor	indoor	ADJ
brj-23197	121	3	model	model	NOUN
brj-23197	121	4	constructed	construct	VERB
brj-23197	121	5	in	in	ADP
brj-23197	121	6	this	this	DET
brj-23197	121	7	paper	paper	NOUN
brj-23197	121	8	can	can	AUX
brj-23197	121	9	not	not	PART
brj-23197	121	10	be	be	AUX
brj-23197	121	11	used	use	VERB
brj-23197	121	12	for	for	ADP
brj-23197	121	13	all	all	DET
brj-23197	121	14	tree	tree	NOUN
brj-23197	121	15	species	specie	NOUN
brj-23197	121	16	in	in	ADP
brj-23197	121	17	the	the	DET
brj-23197	121	18	field	field	NOUN
brj-23197	121	19	,	,	PUNCT
brj-23197	121	20	but	but	CCONJ
brj-23197	121	21	it	it	PRON
brj-23197	121	22	can	can	AUX
brj-23197	121	23	provide	provide	VERB
brj-23197	121	24	a	a	DET
brj-23197	121	25	reference	reference	NOUN
brj-23197	121	26	for	for	ADP
brj-23197	121	27	the	the	DET
brj-23197	121	28	detection	detection	NOUN
brj-23197	121	29	of	of	ADP
brj-23197	121	30	water	water	NOUN
brj-23197	121	31	content	content	NOUN
brj-23197	121	32	in	in	ADP
brj-23197	121	33	standing	stand	VERB
brj-23197	121	34	trees	tree	NOUN
brj-23197	121	35	.	.	PUNCT
brj-23197	122	1	in	in	ADP
brj-23197	122	2	order	order	NOUN
brj-23197	122	3	for	for	SCONJ
brj-23197	122	4	tdr	tdr	PROPN
brj-23197	122	5	to	to	PART
brj-23197	122	6	be	be	AUX
brj-23197	122	7	accurately	accurately	ADV
brj-23197	122	8	applied	apply	VERB
brj-23197	122	9	to	to	ADP
brj-23197	122	10	mc	mc	PROPN
brj-23197	122	11	detection	detection	NOUN
brj-23197	122	12	in	in	ADP
brj-23197	122	13	standing	stand	VERB
brj-23197	122	14	trees	tree	NOUN
brj-23197	122	15	,	,	PUNCT
brj-23197	122	16	a	a	DET
brj-23197	122	17	large	large	ADJ
brj-23197	122	18	number	number	NOUN
brj-23197	122	19	of	of	ADP
brj-23197	122	20	experiments	experiment	NOUN
brj-23197	122	21	need	need	VERB
brj-23197	122	22	to	to	PART
brj-23197	122	23	be	be	AUX
brj-23197	122	24	conducted	conduct	VERB
brj-23197	122	25	in	in	ADP
brj-23197	122	26	the	the	DET
brj-23197	122	27	field	field	NOUN
brj-23197	122	28	.	.	PUNCT
brj-23197	123	1	acknowledgments	acknowledgment	NOUN
brj-23197	123	2	the	the	DET
brj-23197	123	3	authors	author	NOUN
brj-23197	123	4	gratefully	gratefully	ADV
brj-23197	123	5	acknowledge	acknowledge	VERB
brj-23197	123	6	lihai	lihai	PROPN
brj-23197	123	7	wang	wang	PROPN
brj-23197	123	8	from	from	ADP
brj-23197	123	9	northeast	northeast	PROPN
brj-23197	123	10	forestry	forestry	PROPN
brj-23197	123	11	university	university	PROPN
brj-23197	123	12	,	,	PUNCT
brj-23197	123	13	harbin	harbin	PROPN
brj-23197	123	14	,	,	PUNCT
brj-23197	123	15	china	china	PROPN
brj-23197	123	16	,	,	PUNCT
brj-23197	123	17	for	for	ADP
brj-23197	123	18	his	his	PRON
brj-23197	123	19	guidance	guidance	NOUN
brj-23197	123	20	on	on	ADP
brj-23197	123	21	experiments	experiment	NOUN
brj-23197	123	22	.	.	PUNCT
brj-23197	124	1	this	this	DET
brj-23197	124	2	work	work	NOUN
brj-23197	124	3	was	be	AUX
brj-23197	124	4	financially	financially	ADV
brj-23197	124	5	supported	support	VERB
brj-23197	124	6	by	by	ADP
brj-23197	124	7	the	the	DET
brj-23197	124	8	fundamental	fundamental	ADJ
brj-23197	124	9	research	research	NOUN
brj-23197	124	10	funds	fund	NOUN
brj-23197	124	11	for	for	ADP
brj-23197	124	12	the	the	DET
brj-23197	124	13	central	central	ADJ
brj-23197	124	14	universities	university	NOUN
brj-23197	124	15	(	(	PUNCT
brj-23197	124	16	grant	grant	VERB
brj-23197	124	17	no	no	NOUN
brj-23197	124	18	.	.	NOUN
brj-23197	124	19	2572023aw64	2572023aw64	NUM
brj-23197	124	20	and	and	CCONJ
brj-23197	124	21	2572022aw46	2572022aw46	NUM
brj-23197	124	22	)	)	PUNCT
brj-23197	124	23	,	,	PUNCT
brj-23197	124	24	the	the	DET
brj-23197	124	25	national	national	ADJ
brj-23197	124	26	natural	natural	PROPN
brj-23197	124	27	science	science	PROPN
brj-23197	124	28	foundation	foundation	PROPN
brj-23197	124	29	of	of	ADP
brj-23197	124	30	china	china	PROPN
brj-23197	124	31	(	(	PUNCT
brj-23197	124	32	grant	grant	VERB
brj-23197	124	33	no	no	NOUN
brj-23197	124	34	.	.	NOUN
brj-23197	124	35	31870537	31870537	NUM
brj-23197	124	36	)	)	PUNCT
brj-23197	124	37	and	and	CCONJ
brj-23197	124	38	the	the	DET
brj-23197	124	39	national	national	ADJ
brj-23197	124	40	key	key	ADJ
brj-23197	124	41	research	research	NOUN
brj-23197	124	42	and	and	CCONJ
brj-23197	124	43	development	development	NOUN
brj-23197	124	44	program	program	NOUN
brj-23197	124	45	of	of	ADP
brj-23197	124	46	china	china	PROPN
brj-23197	124	47	(	(	PUNCT
brj-23197	124	48	grant	grant	VERB
brj-23197	124	49	no	no	INTJ
brj-23197	124	50	.	.	PUNCT
brj-23197	124	51	2021yfd2201205	2021yfd2201205	NUM
brj-23197	124	52	)	)	PUNCT
brj-23197	124	53	.	.	PUNCT
brj-23197	125	1	author	author	NOUN
brj-23197	125	2	contributions	contribution	VERB
brj-23197	125	3	peng	peng	PROPN
brj-23197	125	4	wang	wang	PROPN
brj-23197	125	5	and	and	CCONJ
brj-23197	125	6	huadong	huadong	PROPN
brj-23197	125	7	xu	xu	PROPN
brj-23197	125	8	designed	design	VERB
brj-23197	125	9	the	the	DET
brj-23197	125	10	experiments	experiment	NOUN
brj-23197	125	11	;	;	PUNCT
brj-23197	125	12	jiedong	jiedong	PROPN
brj-23197	125	13	wei	wei	PROPN
brj-23197	125	14	and	and	CCONJ
brj-23197	125	15	peng	peng	PROPN
brj-23197	125	16	wang	wang	PROPN
brj-23197	125	17	,	,	PUNCT
brj-23197	125	18	performed	perform	VERB
brj-23197	125	19	laboratory	laboratory	NOUN
brj-23197	125	20	test	test	NOUN
brj-23197	125	21	;	;	PUNCT
brj-23197	125	22	jiaxing	jiaxing	PROPN
brj-23197	125	23	guo	guo	PROPN
brj-23197	125	24	,	,	PUNCT
brj-23197	125	25	peng	peng	PROPN
brj-23197	125	26	wang	wang	PROPN
brj-23197	125	27	,	,	PUNCT
brj-23197	125	28	and	and	CCONJ
brj-23197	125	29	ruixia	ruixia	PROPN
brj-23197	125	30	qin	qin	PROPN
brj-23197	125	31	performed	perform	VERB
brj-23197	125	32	data	data	NOUN
brj-23197	125	33	curation	curation	NOUN
brj-23197	125	34	and	and	CCONJ
brj-23197	125	35	investigation	investigation	NOUN
brj-23197	125	36	;	;	PUNCT
brj-23197	125	37	peng	peng	PROPN
brj-23197	125	38	wang	wang	PROPN
brj-23197	125	39	and	and	CCONJ
brj-23197	125	40	ruixia	ruixia	PROPN
brj-23197	125	41	qin	qin	PROPN
brj-23197	125	42	wrote	write	VERB
brj-23197	125	43	the	the	DET
brj-23197	125	44	paper	paper	NOUN
brj-23197	125	45	.	.	PUNCT
brj-23197	126	1	these	these	DET
brj-23197	126	2	authors	author	NOUN
brj-23197	126	3	contributed	contribute	VERB
brj-23197	126	4	equally	equally	ADV
brj-23197	126	5	to	to	ADP
brj-23197	126	6	this	this	DET
brj-23197	126	7	work	work	NOUN
brj-23197	126	8	.	.	PUNCT
brj-23197	127	1	huadong	huadong	PROPN
brj-23197	127	2	xu	xu	PROPN
brj-23197	127	3	reviewed	review	VERB
brj-23197	127	4	the	the	DET
brj-23197	127	5	manuscript	manuscript	NOUN
brj-23197	127	6	.	.	PUNCT
brj-23197	128	1	references	reference	NOUN
brj-23197	128	2	cited	cite	VERB
brj-23197	128	3	castiglione	castiglione	NOUN
brj-23197	128	4	,	,	PUNCT
brj-23197	128	5	p.	p.	NOUN
brj-23197	128	6	,	,	PUNCT
brj-23197	128	7	shouse	shouse	PROPN
brj-23197	128	8	,	,	PUNCT
brj-23197	128	9	p.	p.	PROPN
brj-23197	128	10	j.	j.	PROPN
brj-23197	128	11	,	,	PUNCT
brj-23197	128	12	and	and	CCONJ
brj-23197	128	13	wraith	wraith	NOUN
brj-23197	128	14	,	,	PUNCT
brj-23197	128	15	j.	j.	PROPN
brj-23197	128	16	m.	m.	PROPN
brj-23197	128	17	(	(	PUNCT
brj-23197	128	18	2006	2006	NUM
brj-23197	128	19	)	)	PUNCT
brj-23197	128	20	.	.	PUNCT
brj-23197	129	1	“	"	PUNCT
brj-23197	129	2	multiplexer	multiplexer	NOUN
brj-23197	129	3	-	-	PUNCT
brj-23197	129	4	induced	induce	VERB
brj-23197	129	5	interference	interference	NOUN
brj-23197	129	6	on	on	ADP
brj-23197	129	7	tdr	tdr	PROPN
brj-23197	129	8	measurements	measurement	NOUN
brj-23197	129	9	of	of	ADP
brj-23197	129	10	electrical	electrical	ADJ
brj-23197	129	11	conductivity	conductivity	NOUN
brj-23197	129	12	,	,	PUNCT
brj-23197	129	13	”	"	PUNCT
brj-23197	129	14	soil	soil	NOUN
brj-23197	129	15	sci	sci	PROPN
brj-23197	129	16	.	.	PUNCT
brj-23197	129	17	soc	soc	PROPN
brj-23197	129	18	.	.	PUNCT
brj-23197	130	1	am	be	AUX
brj-23197	130	2	.	.	PUNCT
brj-23197	131	1	j.	j.	PROPN
brj-23197	131	2	70(5	70(5	PROPN
brj-23197	131	3	)	)	PUNCT
brj-23197	131	4	,	,	PUNCT
brj-23197	131	5	1453	1453	NUM
brj-23197	131	6	-	-	SYM
brj-23197	131	7	1458	1458	NUM
brj-23197	131	8	.	.	PUNCT
brj-23197	132	1	doi	doi	NOUN
brj-23197	132	2	:	:	PUNCT
brj-23197	132	3	10.2136	10.2136	NUM
brj-23197	132	4	/	/	SYM
brj-23197	132	5	sssaj2005.0169	sssaj2005.0169	PROPN
brj-23197	132	6	dahlen	dahlen	PROPN
brj-23197	132	7	,	,	PUNCT
brj-23197	132	8	j.	j.	PROPN
brj-23197	132	9	,	,	PUNCT
brj-23197	132	10	antony	antony	PROPN
brj-23197	132	11	,	,	PUNCT
brj-23197	132	12	f.	f.	PROPN
brj-23197	132	13	,	,	PUNCT
brj-23197	132	14	li	li	PROPN
brj-23197	132	15	,	,	PUNCT
brj-23197	132	16	a.	a.	NOUN
brj-23197	132	17	,	,	PUNCT
brj-23197	132	18	love	love	NOUN
brj-23197	132	19	-	-	PUNCT
brj-23197	132	20	myers	myers	PROPN
brj-23197	132	21	,	,	PUNCT
brj-23197	132	22	k.	k.	PROPN
brj-23197	132	23	,	,	PUNCT
brj-23197	132	24	schimleck	schimleck	PROPN
brj-23197	132	25	,	,	PUNCT
brj-23197	132	26	l.	l.	PROPN
brj-23197	132	27	,	,	PUNCT
brj-23197	132	28	and	and	CCONJ
brj-23197	132	29	schilling	schilling	NOUN
brj-23197	132	30	,	,	PUNCT
brj-23197	132	31	e.	e.	PROPN
brj-23197	132	32	b.	b.	PROPN
brj-23197	132	33	(	(	PUNCT
brj-23197	132	34	2015	2015	NUM
brj-23197	132	35	)	)	PUNCT
brj-23197	132	36	.	.	PUNCT
brj-23197	133	1	“	"	PUNCT
brj-23197	133	2	time	time	NOUN
brj-23197	133	3	-	-	PUNCT
brj-23197	133	4	domain	domain	NOUN
brj-23197	133	5	reflectometry	reflectometry	NOUN
brj-23197	133	6	for	for	ADP
brj-23197	133	7	the	the	DET
brj-23197	133	8	prediction	prediction	NOUN
brj-23197	133	9	of	of	ADP
brj-23197	133	10	loblolly	loblolly	ADV
brj-23197	133	11	pine	pine	ADJ
brj-23197	133	12	and	and	CCONJ
brj-23197	133	13	sweetgum	sweetgum	ADJ
brj-23197	133	14	moisture	moisture	NOUN
brj-23197	133	15	content	content	NOUN
brj-23197	133	16	,	,	PUNCT
brj-23197	133	17	”	"	PUNCT
brj-23197	133	18	bioresources	bioresource	NOUN
brj-23197	133	19	10(3	10(3	NUM
brj-23197	133	20	)	)	PUNCT
brj-23197	133	21	,	,	PUNCT
brj-23197	133	22	4947	4947	NUM
brj-23197	133	23	-	-	SYM
brj-23197	133	24	4960	4960	NUM
brj-23197	133	25	.	.	PUNCT
brj-23197	134	1	doi	doi	NOUN
brj-23197	134	2	:	:	PUNCT
brj-23197	134	3	10.15376	10.15376	NUM
brj-23197	134	4	/	/	SYM
brj-23197	134	5	biores.10.3.49474960	biores.10.3.49474960	ADJ
brj-23197	134	6	gao	gao	PROPN
brj-23197	134	7	,	,	PUNCT
brj-23197	134	8	c.	c.	PROPN
brj-23197	134	9	,	,	PUNCT
brj-23197	134	10	zhao	zhao	PROPN
brj-23197	134	11	,	,	PUNCT
brj-23197	134	12	y.	y.	PROPN
brj-23197	134	13	,	,	PUNCT
brj-23197	134	14	and	and	CCONJ
brj-23197	134	15	zhao	zhao	PROPN
brj-23197	134	16	,	,	PUNCT
brj-23197	134	17	y.	y.	PROPN
brj-23197	134	18	(	(	PUNCT
brj-23197	134	19	2019	2019	NUM
brj-23197	134	20	)	)	PUNCT
brj-23197	134	21	.	.	PUNCT
brj-23197	135	1	“	"	PUNCT
brj-23197	135	2	a	a	DET
brj-23197	135	3	novel	novel	ADJ
brj-23197	135	4	sensor	sensor	NOUN
brj-23197	135	5	for	for	ADP
brj-23197	135	6	noninvasive	noninvasive	ADJ
brj-23197	135	7	detection	detection	NOUN
brj-23197	135	8	of	of	ADP
brj-23197	135	9	in	in	ADP
brj-23197	135	10	situ	situ	ADJ
brj-23197	135	11	stem	stem	NOUN
brj-23197	135	12	water	water	NOUN
brj-23197	135	13	content	content	NOUN
brj-23197	135	14	based	base	VERB
brj-23197	135	15	on	on	ADP
brj-23197	135	16	standing	standing	PROPN
brj-23197	135	17	wave	wave	NOUN
brj-23197	135	18	ratio	ratio	NOUN
brj-23197	135	19	,	,	PUNCT
brj-23197	135	20	”	"	PUNCT
brj-23197	135	21	j.	j.	PROPN
brj-23197	135	22	sensors	sensor	NOUN
brj-23197	135	23	2019	2019	NUM
brj-23197	135	24	,	,	PUNCT
brj-23197	135	25	article	article	NOUN
brj-23197	135	26	3594964	3594964	NUM
brj-23197	135	27	.	.	PUNCT
brj-23197	136	1	doi	doi	NOUN
brj-23197	136	2	:	:	PUNCT
brj-23197	136	3	10.1155/2019/3594964	10.1155/2019/3594964	NUM
brj-23197	136	4	guo	guo	PROPN
brj-23197	136	5	,	,	PUNCT
brj-23197	136	6	j.	j.	PROPN
brj-23197	136	7	,	,	PUNCT
brj-23197	136	8	wang	wang	PROPN
brj-23197	136	9	,	,	PUNCT
brj-23197	136	10	p.	p.	PROPN
brj-23197	136	11	,	,	PUNCT
brj-23197	136	12	wang	wang	PROPN
brj-23197	136	13	,	,	PUNCT
brj-23197	136	14	y.	y.	PROPN
brj-23197	136	15	,	,	PUNCT
brj-23197	136	16	and	and	CCONJ
brj-23197	136	17	xu	xu	PROPN
brj-23197	136	18	,	,	PUNCT
brj-23197	136	19	h.	h.	PROPN
brj-23197	136	20	(	(	PUNCT
brj-23197	136	21	2023	2023	NUM
brj-23197	136	22	)	)	PUNCT
brj-23197	136	23	.	.	PUNCT
brj-23197	137	1	“	"	PUNCT
brj-23197	137	2	improving	improve	VERB
brj-23197	137	3	tree	tree	NOUN
brj-23197	137	4	health	health	NOUN
brj-23197	137	5	assessment	assessment	NOUN
brj-23197	137	6	accuracy	accuracy	NOUN
brj-23197	137	7	at	at	ADP
brj-23197	137	8	low	low	ADJ
brj-23197	137	9	temperatures	temperature	NOUN
brj-23197	137	10	:	:	PUNCT
brj-23197	137	11	considering	consider	VERB
brj-23197	137	12	the	the	DET
brj-23197	137	13	effect	effect	NOUN
brj-23197	137	14	of	of	ADP
brj-23197	137	15	trunk	trunk	NOUN
brj-23197	137	16	ice	ice	NOUN
brj-23197	137	17	content	content	NOUN
brj-23197	137	18	on	on	ADP
brj-23197	137	19	electrical	electrical	ADJ
brj-23197	137	20	resistance	resistance	NOUN
brj-23197	137	21	and	and	CCONJ
brj-23197	137	22	stress	stress	NOUN
brj-23197	137	23	wave	wave	NOUN
brj-23197	137	24	tomography	tomography	NOUN
brj-23197	137	25	,	,	PUNCT
brj-23197	137	26	”	"	PUNCT
brj-23197	137	27	j.	j.	PROPN
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brj-23197	138	1	res	re	NOUN
brj-23197	138	2	.	.	PUNCT
brj-23197	139	1	34(5	34(5	NUM
brj-23197	139	2	)	)	PUNCT
brj-23197	139	3	,	,	PUNCT
brj-23197	139	4	1503	1503	NUM
brj-23197	139	5	-	-	SYM
brj-23197	139	6	1510	1510	NUM
brj-23197	139	7	.	.	PUNCT
brj-23197	140	1	doi	doi	NOUN
brj-23197	140	2	:	:	PUNCT
brj-23197	140	3	10.1007	10.1007	NUM
brj-23197	140	4	/	/	SYM
brj-23197	140	5	s11676	s11676	NUM
brj-23197	140	6	-	-	NOUN
brj-23197	140	7	022	022	NUM
brj-23197	140	8	-	-	PUNCT
brj-23197	140	9	01577	01577	NUM
brj-23197	140	10	-	-	PUNCT
brj-23197	140	11	z	z	NOUN
brj-23197	140	12	he	he	PRON
brj-23197	140	13	,	,	PUNCT
brj-23197	140	14	h.	h.	PROPN
brj-23197	140	15	,	,	PUNCT
brj-23197	140	16	turner	turner	PROPN
brj-23197	140	17	,	,	PUNCT
brj-23197	140	18	n.	n.	PROPN
brj-23197	140	19	c.	c.	PROPN
brj-23197	140	20	,	,	PUNCT
brj-23197	140	21	aogu	aogu	NOUN
brj-23197	140	22	,	,	PUNCT
brj-23197	140	23	k.	k.	PROPN
brj-23197	140	24	,	,	PUNCT
brj-23197	140	25	dyck	dyck	ADJ
brj-23197	140	26	,	,	PUNCT
brj-23197	140	27	m.	m.	NOUN
brj-23197	140	28	,	,	PUNCT
brj-23197	140	29	feng	feng	PROPN
brj-23197	140	30	,	,	PUNCT
brj-23197	140	31	h.	h.	PROPN
brj-23197	140	32	,	,	PUNCT
brj-23197	140	33	si	si	PROPN
brj-23197	140	34	,	,	PUNCT
brj-23197	140	35	b.	b.	PROPN
brj-23197	140	36	,	,	PUNCT
brj-23197	140	37	wang	wang	PROPN
brj-23197	140	38	,	,	PUNCT
brj-23197	140	39	j.	j.	PROPN
brj-23197	140	40	,	,	PUNCT
brj-23197	140	41	and	and	CCONJ
brj-23197	140	42	lv	lv	PROPN
brj-23197	140	43	,	,	PUNCT
brj-23197	140	44	j.	j.	PROPN
brj-23197	140	45	(	(	PUNCT
brj-23197	140	46	2021	2021	NUM
brj-23197	140	47	)	)	PUNCT
brj-23197	140	48	.	.	PUNCT
brj-23197	141	1	“	"	PUNCT
brj-23197	141	2	time	time	NOUN
brj-23197	141	3	and	and	CCONJ
brj-23197	141	4	frequency	frequency	NOUN
brj-23197	141	5	domain	domain	NOUN
brj-23197	141	6	reflectometry	reflectometry	NOUN
brj-23197	141	7	for	for	ADP
brj-23197	141	8	the	the	DET
brj-23197	141	9	measurement	measurement	NOUN
brj-23197	141	10	of	of	ADP
brj-23197	141	11	tree	tree	NOUN
brj-23197	141	12	stem	stem	NOUN
brj-23197	141	13	water	water	NOUN
brj-23197	141	14	content	content	NOUN
brj-23197	141	15	:	:	PUNCT
brj-23197	141	16	a	a	DET
brj-23197	141	17	review	review	NOUN
brj-23197	141	18	,	,	PUNCT
brj-23197	141	19	evaluation	evaluation	NOUN
brj-23197	141	20	,	,	PUNCT
brj-23197	141	21	and	and	CCONJ
brj-23197	141	22	future	future	ADJ
brj-23197	141	23	perspectives	perspective	NOUN
brj-23197	141	24	,	,	PUNCT
brj-23197	141	25	”	"	PUNCT
brj-23197	141	26	agric	agric	NOUN
brj-23197	141	27	.	.	PUNCT
brj-23197	142	1	for	for	ADP
brj-23197	142	2	.	.	PUNCT
brj-23197	142	3	meteorol	meteorol	NOUN
brj-23197	142	4	.	.	PUNCT
brj-23197	143	1	306	306	NUM
brj-23197	143	2	,	,	PUNCT
brj-23197	143	3	article	article	NOUN
brj-23197	143	4	108442	108442	NUM
brj-23197	143	5	.	.	PUNCT
brj-23197	144	1	doi	doi	NOUN
brj-23197	144	2	:	:	PUNCT
brj-23197	144	3	10.1016	10.1016	NUM
brj-23197	144	4	/	/	SYM
brj-23197	144	5	j.agrformet.2021.108442	j.agrformet.2021.108442	PROPN
brj-23197	144	6	hernández	hernández	PROPN
brj-23197	144	7	-	-	PUNCT
brj-23197	144	8	santana	santana	PROPN
brj-23197	144	9	,	,	PUNCT
brj-23197	144	10	v.	v.	PROPN
brj-23197	144	11	,	,	PUNCT
brj-23197	144	12	martínez	martínez	NOUN
brj-23197	144	13	-	-	PUNCT
brj-23197	144	14	fernández	fernández	PROPN
brj-23197	144	15	,	,	PUNCT
brj-23197	144	16	j.	j.	PROPN
brj-23197	144	17	,	,	PUNCT
brj-23197	144	18	and	and	CCONJ
brj-23197	144	19	morán	morán	PROPN
brj-23197	144	20	,	,	PUNCT
brj-23197	144	21	c.	c.	NOUN
brj-23197	144	22	(	(	PUNCT
brj-23197	144	23	2008	2008	NUM
brj-23197	144	24	)	)	PUNCT
brj-23197	144	25	.	.	PUNCT
brj-23197	145	1	“	"	PUNCT
brj-23197	145	2	estimation	estimation	NOUN
brj-23197	145	3	of	of	ADP
brj-23197	145	4	tree	tree	NOUN
brj-23197	145	5	water	water	NOUN
brj-23197	145	6	stress	stress	NOUN
brj-23197	145	7	from	from	ADP
brj-23197	145	8	stem	stem	NOUN
brj-23197	145	9	and	and	CCONJ
brj-23197	145	10	soil	soil	NOUN
brj-23197	145	11	water	water	NOUN
brj-23197	145	12	monitoring	monitoring	NOUN
brj-23197	145	13	with	with	ADP
brj-23197	145	14	time	time	NOUN
brj-23197	145	15	-	-	PUNCT
brj-23197	145	16	domain	domain	NOUN
brj-23197	145	17	reflectometry	reflectometry	NOUN
brj-23197	145	18	in	in	ADP
brj-23197	145	19	two	two	NUM
brj-23197	145	20	small	small	ADJ
brj-23197	145	21	forested	forest	VERB
brj-23197	145	22	basins	basin	NOUN
brj-23197	145	23	in	in	ADP
brj-23197	145	24	spain	spain	PROPN
brj-23197	145	25	,	,	PUNCT
brj-23197	145	26	”	"	PUNCT
brj-23197	145	27	hydrol	hydrol	NOUN
brj-23197	145	28	process	process	NOUN
brj-23197	145	29	22(14	22(14	PROPN
brj-23197	145	30	)	)	PUNCT
brj-23197	145	31	,	,	PUNCT
brj-23197	145	32	2493	2493	NUM
brj-23197	145	33	-	-	SYM
brj-23197	145	34	2501	2501	NUM
brj-23197	145	35	.	.	PUNCT
brj-23197	146	1	doi	doi	NOUN
brj-23197	146	2	:	:	PUNCT
brj-23197	146	3	10.1002	10.1002	NUM
brj-23197	146	4	/	/	SYM
brj-23197	146	5	hyp.6845	hyp.6845	NUM
brj-23197	146	6	peer	peer	NOUN
brj-23197	146	7	-	-	PUNCT
brj-23197	146	8	reviewed	review	VERB
brj-23197	146	9	article	article	NOUN
brj-23197	146	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23197	146	11	wang	wang	PROPN
brj-23197	146	12	et	et	PROPN
brj-23197	146	13	al	al	PROPN
brj-23197	146	14	.	.	PROPN
brj-23197	146	15	(	(	PUNCT
brj-23197	146	16	2024	2024	NUM
brj-23197	146	17	)	)	PUNCT
brj-23197	146	18	.	.	PUNCT
brj-23197	147	1	“	"	PUNCT
brj-23197	147	2	wood	wood	NOUN
brj-23197	147	3	moisture	moisture	NOUN
brj-23197	147	4	prediction	prediction	NOUN
brj-23197	147	5	,	,	PUNCT
brj-23197	147	6	”	"	PUNCT
brj-23197	147	7	bioresources	bioresource	NOUN
brj-23197	147	8	19(2	19(2	NUM
brj-23197	147	9	)	)	PUNCT
brj-23197	147	10	,	,	PUNCT
brj-23197	147	11	3001	3001	NUM
brj-23197	147	12	-	-	SYM
brj-23197	147	13	3009	3009	NUM
brj-23197	147	14	.	.	PUNCT
brj-23197	148	1	3009	3009	NUM
brj-23197	148	2	ishida	ishida	PROPN
brj-23197	148	3	,	,	PUNCT
brj-23197	148	4	y.	y.	PROPN
brj-23197	148	5	,	,	PUNCT
brj-23197	148	6	yōshino	yōshino	PROPN
brj-23197	148	7	,	,	PUNCT
brj-23197	148	8	m.	m.	NOUN
brj-23197	148	9	,	,	PUNCT
brj-23197	148	10	takayanagi	takayanagi	NOUN
brj-23197	148	11	,	,	PUNCT
brj-23197	148	12	m.	m.	NOUN
brj-23197	148	13	,	,	PUNCT
brj-23197	148	14	and	and	CCONJ
brj-23197	148	15	irie	irie	PROPN
brj-23197	148	16	,	,	PUNCT
brj-23197	148	17	f.	f.	PROPN
brj-23197	148	18	(	(	PUNCT
brj-23197	148	19	1959	1959	NUM
brj-23197	148	20	)	)	PUNCT
brj-23197	148	21	.	.	PUNCT
brj-23197	149	1	“	"	PUNCT
brj-23197	149	2	dielectric	dielectric	ADJ
brj-23197	149	3	studies	study	NOUN
brj-23197	149	4	on	on	ADP
brj-23197	149	5	cellulose	cellulose	NOUN
brj-23197	149	6	fibers	fiber	NOUN
brj-23197	149	7	,	,	PUNCT
brj-23197	149	8	”	"	PUNCT
brj-23197	149	9	j.	j.	PROPN
brj-23197	149	10	appl	appl	PROPN
brj-23197	149	11	.	.	PUNCT
brj-23197	150	1	polym	polym	PROPN
brj-23197	150	2	.	.	PUNCT
brj-23197	151	1	sci	sci	PROPN
brj-23197	151	2	.	.	PROPN
brj-23197	151	3	1(2	1(2	NUM
brj-23197	151	4	)	)	PUNCT
brj-23197	151	5	,	,	PUNCT
brj-23197	151	6	227	227	NUM
brj-23197	151	7	-	-	SYM
brj-23197	151	8	235	235	NUM
brj-23197	151	9	.	.	PUNCT
brj-23197	151	10	doi	doi	NOUN
brj-23197	151	11	:	:	PUNCT
brj-23197	151	12	10.1002	10.1002	NUM
brj-23197	151	13	/	/	SYM
brj-23197	151	14	app.1959.070010213	app.1959.070010213	NUM
brj-23197	151	15	jones	jones	PROPN
brj-23197	151	16	,	,	PUNCT
brj-23197	151	17	s.	s.	PROPN
brj-23197	151	18	b.	b.	PROPN
brj-23197	151	19	,	,	PUNCT
brj-23197	151	20	wraith	wraith	PROPN
brj-23197	151	21	,	,	PUNCT
brj-23197	151	22	j.	j.	PROPN
brj-23197	151	23	m.	m.	PROPN
brj-23197	151	24	,	,	PUNCT
brj-23197	151	25	and	and	CCONJ
brj-23197	151	26	or	or	CCONJ
brj-23197	151	27	,	,	PUNCT
brj-23197	151	28	d.	d.	PROPN
brj-23197	151	29	(	(	PUNCT
brj-23197	151	30	2002	2002	NUM
brj-23197	151	31	)	)	PUNCT
brj-23197	151	32	.	.	PUNCT
brj-23197	152	1	“	"	PUNCT
brj-23197	152	2	time	time	NOUN
brj-23197	152	3	domain	domain	NOUN
brj-23197	152	4	reflectometry	reflectometry	NOUN
brj-23197	152	5	measurement	measurement	NOUN
brj-23197	152	6	principles	principle	NOUN
brj-23197	152	7	and	and	CCONJ
brj-23197	152	8	applications	application	NOUN
brj-23197	152	9	,	,	PUNCT
brj-23197	152	10	”	"	PUNCT
brj-23197	152	11	hydrol	hydrol	NOUN
brj-23197	152	12	.	.	PUNCT
brj-23197	153	1	process	process	NOUN
brj-23197	153	2	16	16	NUM
brj-23197	153	3	(	(	PUNCT
brj-23197	153	4	1	1	NUM
brj-23197	153	5	)	)	PUNCT
brj-23197	153	6	,	,	PUNCT
brj-23197	153	7	141	141	NUM
brj-23197	153	8	-	-	SYM
brj-23197	153	9	153	153	NUM
brj-23197	153	10	.	.	PUNCT
brj-23197	154	1	doi	doi	NOUN
brj-23197	154	2	:	:	PUNCT
brj-23197	154	3	10.1002	10.1002	NUM
brj-23197	154	4	/	/	SYM
brj-23197	154	5	hyp.513	hyp.513	NOUN
brj-23197	154	6	schimleck	schimleck	NOUN
brj-23197	154	7	,	,	PUNCT
brj-23197	154	8	l.	l.	PROPN
brj-23197	154	9	,	,	PUNCT
brj-23197	154	10	love	love	PROPN
brj-23197	154	11	,	,	PUNCT
brj-23197	154	12	k.	k.	PROPN
brj-23197	154	13	,	,	PUNCT
brj-23197	154	14	sanders	sanders	PROPN
brj-23197	154	15	,	,	PUNCT
brj-23197	154	16	j.	j.	PROPN
brj-23197	154	17	,	,	PUNCT
brj-23197	154	18	raybon	raybon	PROPN
brj-23197	154	19	,	,	PUNCT
brj-23197	154	20	h.	h.	PROPN
brj-23197	154	21	,	,	PUNCT
brj-23197	154	22	daniels	daniels	PROPN
brj-23197	154	23	,	,	PUNCT
brj-23197	154	24	r.	r.	PROPN
brj-23197	154	25	,	,	PUNCT
brj-23197	154	26	mahon	mahon	PROPN
brj-23197	154	27	,	,	PUNCT
brj-23197	154	28	j.	j.	PROPN
brj-23197	154	29	,	,	PUNCT
brj-23197	154	30	andrews	andrews	PROPN
brj-23197	154	31	,	,	PUNCT
brj-23197	154	32	e.	e.	PROPN
brj-23197	154	33	,	,	PUNCT
brj-23197	154	34	and	and	CCONJ
brj-23197	154	35	schilling	schilling	NOUN
brj-23197	154	36	,	,	PUNCT
brj-23197	154	37	e.	e.	PROPN
brj-23197	154	38	(	(	PUNCT
brj-23197	154	39	2011	2011	NUM
brj-23197	154	40	)	)	PUNCT
brj-23197	154	41	.	.	PUNCT
brj-23197	155	1	“	"	PUNCT
brj-23197	155	2	measuring	measure	VERB
brj-23197	155	3	the	the	DET
brj-23197	155	4	moisture	moisture	NOUN
brj-23197	155	5	content	content	NOUN
brj-23197	155	6	of	of	ADP
brj-23197	155	7	green	green	ADJ
brj-23197	155	8	wood	wood	NOUN
brj-23197	155	9	using	use	VERB
brj-23197	155	10	time	time	NOUN
brj-23197	155	11	domain	domain	NOUN
brj-23197	155	12	reflectometry	reflectometry	NOUN
brj-23197	155	13	,	,	PUNCT
brj-23197	155	14	”	"	PUNCT
brj-23197	155	15	forest	forest	NOUN
brj-23197	155	16	prod	prod	NOUN
brj-23197	155	17	.	.	PUNCT
brj-23197	156	1	j.	j.	PROPN
brj-23197	156	2	61	61	NUM
brj-23197	156	3	,	,	PUNCT
brj-23197	156	4	428	428	NUM
brj-23197	156	5	-	-	SYM
brj-23197	156	6	434	434	NUM
brj-23197	156	7	.	.	PUNCT
brj-23197	157	1	doi	doi	NOUN
brj-23197	157	2	:	:	PUNCT
brj-23197	157	3	10.13073/0015	10.13073/0015	NUM
brj-23197	157	4	-	-	SYM
brj-23197	157	5	747361.6.428	747361.6.428	NUM
brj-23197	157	6	xu	xu	PROPN
brj-23197	157	7	,	,	PUNCT
brj-23197	157	8	h.	h.	PROPN
brj-23197	157	9	,	,	PUNCT
brj-23197	157	10	and	and	CCONJ
brj-23197	157	11	wang	wang	PROPN
brj-23197	157	12	,	,	PUNCT
brj-23197	157	13	l.	l.	PROPN
brj-23197	157	14	(	(	PUNCT
brj-23197	157	15	2014	2014	NUM
brj-23197	157	16	)	)	PUNCT
brj-23197	157	17	.	.	PUNCT
brj-23197	158	1	“	"	PUNCT
brj-23197	158	2	analysis	analysis	NOUN
brj-23197	158	3	of	of	ADP
brj-23197	158	4	cold	cold	ADJ
brj-23197	158	5	temperature	temperature	NOUN
brj-23197	158	6	effect	effect	NOUN
brj-23197	158	7	on	on	ADP
brj-23197	158	8	stress	stress	NOUN
brj-23197	158	9	wave	wave	NOUN
brj-23197	158	10	velocity	velocity	NOUN
brj-23197	158	11	in	in	ADP
brj-23197	158	12	green	green	ADJ
brj-23197	158	13	wood	wood	NOUN
brj-23197	158	14	,	,	PUNCT
brj-23197	158	15	”	"	PUNCT
brj-23197	158	16	holzforschung	holzforschung	PROPN
brj-23197	158	17	68	68	NUM
brj-23197	158	18	(	(	PUNCT
brj-23197	158	19	6	6	NUM
brj-23197	158	20	)	)	PUNCT
brj-23197	158	21	,	,	PUNCT
brj-23197	158	22	693	693	NUM
brj-23197	158	23	-	-	SYM
brj-23197	158	24	698	698	NUM
brj-23197	158	25	.	.	PUNCT
brj-23197	159	1	article	article	NOUN
brj-23197	159	2	submitted	submit	VERB
brj-23197	159	3	:	:	PUNCT
brj-23197	159	4	december	december	PROPN
brj-23197	159	5	10	10	NUM
brj-23197	159	6	,	,	PUNCT
brj-23197	159	7	2023	2023	NUM
brj-23197	159	8	;	;	PUNCT
brj-23197	159	9	peer	peer	NOUN
brj-23197	159	10	review	review	NOUN
brj-23197	159	11	completed	complete	VERB
brj-23197	159	12	:	:	PUNCT
brj-23197	159	13	january	january	PROPN
brj-23197	159	14	3	3	NUM
brj-23197	159	15	,	,	PUNCT
brj-23197	159	16	2024	2024	NUM
brj-23197	159	17	;	;	PUNCT
brj-23197	159	18	revised	revise	VERB
brj-23197	159	19	version	version	NOUN
brj-23197	159	20	received	receive	VERB
brj-23197	159	21	and	and	CCONJ
brj-23197	159	22	accepted	accept	VERB
brj-23197	159	23	:	:	PUNCT
brj-23197	159	24	march	march	PROPN
brj-23197	159	25	13	13	NUM
brj-23197	159	26	,	,	PUNCT
brj-23197	159	27	2024	2024	NUM
brj-23197	159	28	;	;	PUNCT
brj-23197	159	29	published	publish	VERB
brj-23197	159	30	:	:	PUNCT
brj-23197	159	31	march	march	PROPN
brj-23197	159	32	25	25	NUM
brj-23197	159	33	,	,	PUNCT
brj-23197	159	34	2024	2024	NUM
brj-23197	159	35	.	.	PUNCT
brj-23197	160	1	doi	doi	NOUN
brj-23197	160	2	:	:	PUNCT
brj-23197	160	3	10.15376	10.15376	NUM
brj-23197	160	4	/	/	SYM
brj-23197	160	5	biores.19.2.3001	biores.19.2.3001	PROPN
brj-23197	160	6	-	-	PUNCT
brj-23197	160	7	3009	3009	NUM