id	sid	tid	token	lemma	pos
brj-22938	1	1	peer	peer	NOUN
brj-22938	1	2	-	-	PUNCT
brj-22938	1	3	review	review	NOUN
brj-22938	1	4	article	article	NOUN
brj-22938	1	5	peer	peer	NOUN
brj-22938	1	6	-	-	PUNCT
brj-22938	1	7	reviewed	review	VERB
brj-22938	1	8	article	article	NOUN
brj-22938	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	1	10	fredriksson	fredriksson	NOUN
brj-22938	1	11	(	(	PUNCT
brj-22938	1	12	2024	2024	NUM
brj-22938	1	13	)	)	PUNCT
brj-22938	1	14	.	.	PUNCT
brj-22938	2	1	“	"	PUNCT
brj-22938	2	2	board	board	NOUN
brj-22938	2	3	strength	strength	NOUN
brj-22938	2	4	&	&	CCONJ
brj-22938	2	5	log	log	PROPN
brj-22938	2	6	data	data	PROPN
brj-22938	2	7	,	,	PUNCT
brj-22938	2	8	”	"	PUNCT
brj-22938	2	9	bioresources	bioresource	NOUN
brj-22938	2	10	19(1	19(1	NUM
brj-22938	2	11	)	)	PUNCT
brj-22938	2	12	,	,	PUNCT
brj-22938	2	13	1777	1777	NUM
brj-22938	2	14	-	-	SYM
brj-22938	2	15	1788	1788	NUM
brj-22938	2	16	.	.	PUNCT
brj-22938	3	1	1777	1777	NUM
brj-22938	3	2	predicting	predict	VERB
brj-22938	3	3	strength	strength	NOUN
brj-22938	3	4	of	of	ADP
brj-22938	3	5	norway	norway	PROPN
brj-22938	3	6	spruce	spruce	NOUN
brj-22938	3	7	and	and	CCONJ
brj-22938	3	8	scots	scot	NOUN
brj-22938	3	9	pine	pine	ADJ
brj-22938	3	10	sawn	sawn	NOUN
brj-22938	3	11	timber	timber	NOUN
brj-22938	3	12	using	use	VERB
brj-22938	3	13	discrete	discrete	ADJ
brj-22938	3	14	x	x	NOUN
brj-22938	3	15	-	-	NOUN
brj-22938	3	16	ray	ray	NOUN
brj-22938	3	17	log	log	NOUN
brj-22938	3	18	scanning	scanning	NOUN
brj-22938	3	19	,	,	PUNCT
brj-22938	3	20	optical	optical	ADJ
brj-22938	3	21	board	board	NOUN
brj-22938	3	22	scanning	scanning	NOUN
brj-22938	3	23	,	,	PUNCT
brj-22938	3	24	traceability	traceability	NOUN
brj-22938	3	25	,	,	PUNCT
brj-22938	3	26	and	and	CCONJ
brj-22938	3	27	partial	partial	ADJ
brj-22938	3	28	least	least	ADJ
brj-22938	3	29	squares	square	NOUN
brj-22938	3	30	regression	regression	VERB
brj-22938	3	31	magnus	magnus	PROPN
brj-22938	3	32	fredriksson	fredriksson	PROPN
brj-22938	3	33	*	*	PUNCT
brj-22938	3	34	recently	recently	ADV
brj-22938	3	35	developed	develop	VERB
brj-22938	3	36	technology	technology	NOUN
brj-22938	3	37	in	in	ADP
brj-22938	3	38	sawmills	sawmill	NOUN
brj-22938	3	39	such	such	ADJ
brj-22938	3	40	as	as	ADP
brj-22938	3	41	advanced	advanced	ADJ
brj-22938	3	42	log	log	NOUN
brj-22938	3	43	scanning	scanning	NOUN
brj-22938	3	44	and	and	CCONJ
brj-22938	3	45	traceability	traceability	NOUN
brj-22938	3	46	concepts	concept	NOUN
brj-22938	3	47	enable	enable	VERB
brj-22938	3	48	new	new	ADJ
brj-22938	3	49	ways	way	NOUN
brj-22938	3	50	of	of	ADP
brj-22938	3	51	grading	grade	VERB
brj-22938	3	52	logs	log	NOUN
brj-22938	3	53	and	and	CCONJ
brj-22938	3	54	boards	board	NOUN
brj-22938	3	55	.	.	PUNCT
brj-22938	4	1	when	when	SCONJ
brj-22938	4	2	it	it	PRON
brj-22938	4	3	comes	come	VERB
brj-22938	4	4	to	to	ADP
brj-22938	4	5	strength	strength	NOUN
brj-22938	4	6	grading	grade	VERB
brj-22938	4	7	,	,	PUNCT
brj-22938	4	8	this	this	PRON
brj-22938	4	9	is	be	AUX
brj-22938	4	10	often	often	ADV
brj-22938	4	11	done	do	VERB
brj-22938	4	12	on	on	ADP
brj-22938	4	13	sawn	sawn	NOUN
brj-22938	4	14	boards	board	NOUN
brj-22938	4	15	using	use	VERB
brj-22938	4	16	automatic	automatic	ADJ
brj-22938	4	17	scanning	scanning	NOUN
brj-22938	4	18	systems	system	NOUN
brj-22938	4	19	.	.	PUNCT
brj-22938	5	1	however	however	ADV
brj-22938	5	2	,	,	PUNCT
brj-22938	5	3	if	if	SCONJ
brj-22938	5	4	board	board	NOUN
brj-22938	5	5	scanners	scanner	NOUN
brj-22938	5	6	were	be	AUX
brj-22938	5	7	to	to	PART
brj-22938	5	8	be	be	AUX
brj-22938	5	9	augmented	augment	VERB
brj-22938	5	10	with	with	ADP
brj-22938	5	11	data	datum	NOUN
brj-22938	5	12	from	from	ADP
brj-22938	5	13	log	log	NOUN
brj-22938	5	14	scanners	scanner	NOUN
brj-22938	5	15	by	by	ADP
brj-22938	5	16	using	use	VERB
brj-22938	5	17	traceability	traceability	NOUN
brj-22938	5	18	,	,	PUNCT
brj-22938	5	19	more	more	ADJ
brj-22938	5	20	information	information	NOUN
brj-22938	5	21	on	on	ADP
brj-22938	5	22	the	the	DET
brj-22938	5	23	wood	wood	NOUN
brj-22938	5	24	properties	property	NOUN
brj-22938	5	25	is	be	AUX
brj-22938	5	26	available	available	ADJ
brj-22938	5	27	.	.	PUNCT
brj-22938	6	1	in	in	ADP
brj-22938	6	2	this	this	DET
brj-22938	6	3	study	study	NOUN
brj-22938	6	4	,	,	PUNCT
brj-22938	6	5	the	the	DET
brj-22938	6	6	main	main	ADJ
brj-22938	6	7	objective	objective	NOUN
brj-22938	6	8	was	be	AUX
brj-22938	6	9	to	to	PART
brj-22938	6	10	compare	compare	VERB
brj-22938	6	11	the	the	DET
brj-22938	6	12	strength	strength	NOUN
brj-22938	6	13	prediction	prediction	NOUN
brj-22938	6	14	capability	capability	NOUN
brj-22938	6	15	of	of	ADP
brj-22938	6	16	board	board	NOUN
brj-22938	6	17	scanning	scanning	NOUN
brj-22938	6	18	alone	alone	ADV
brj-22938	6	19	,	,	PUNCT
brj-22938	6	20	to	to	PART
brj-22938	6	21	board	board	NOUN
brj-22938	6	22	scanning	scanning	NOUN
brj-22938	6	23	augmented	augment	VERB
brj-22938	6	24	with	with	ADP
brj-22938	6	25	x	x	NOUN
brj-22938	6	26	-	-	NOUN
brj-22938	6	27	ray	ray	NOUN
brj-22938	6	28	and	and	CCONJ
brj-22938	6	29	3d	3d	NUM
brj-22938	6	30	data	datum	NOUN
brj-22938	6	31	from	from	ADP
brj-22938	6	32	log	log	NOUN
brj-22938	6	33	scanning	scanning	NOUN
brj-22938	6	34	,	,	PUNCT
brj-22938	6	35	for	for	ADP
brj-22938	6	36	norway	norway	NOUN
brj-22938	6	37	spruce	spruce	NOUN
brj-22938	6	38	(	(	PUNCT
brj-22938	6	39	picea	picea	NOUN
brj-22938	6	40	abies	abie	NOUN
brj-22938	6	41	l.	l.	PROPN
brj-22938	6	42	karst	karst	PROPN
brj-22938	6	43	.	.	PUNCT
brj-22938	6	44	)	)	PUNCT
brj-22938	7	1	and	and	CCONJ
brj-22938	7	2	scots	scot	NOUN
brj-22938	7	3	pine	pine	NOUN
brj-22938	7	4	(	(	PUNCT
brj-22938	7	5	pinus	pinus	NOUN
brj-22938	7	6	sylvestris	sylvestris	NOUN
brj-22938	7	7	l.	l.	PROPN
brj-22938	7	8	)	)	PUNCT
brj-22938	7	9	.	.	PUNCT
brj-22938	8	1	in	in	ADP
brj-22938	8	2	that	that	DET
brj-22938	8	3	case	case	NOUN
brj-22938	8	4	,	,	PUNCT
brj-22938	8	5	data	datum	NOUN
brj-22938	8	6	from	from	ADP
brj-22938	8	7	three	three	NUM
brj-22938	8	8	different	different	ADJ
brj-22938	8	9	scanning	scanning	NOUN
brj-22938	8	10	systems	system	NOUN
brj-22938	8	11	was	be	AUX
brj-22938	8	12	combined	combine	VERB
brj-22938	8	13	,	,	PUNCT
brj-22938	8	14	two	two	NUM
brj-22938	8	15	for	for	ADP
brj-22938	8	16	logs	log	NOUN
brj-22938	8	17	and	and	CCONJ
brj-22938	8	18	one	one	NUM
brj-22938	8	19	for	for	ADP
brj-22938	8	20	boards	board	NOUN
brj-22938	8	21	.	.	PUNCT
brj-22938	9	1	a	a	DET
brj-22938	9	2	further	further	ADJ
brj-22938	9	3	objective	objective	NOUN
brj-22938	9	4	was	be	AUX
brj-22938	9	5	to	to	PART
brj-22938	9	6	investigate	investigate	VERB
brj-22938	9	7	whether	whether	SCONJ
brj-22938	9	8	pre	pre	ADJ
brj-22938	9	9	-	-	ADJ
brj-22938	9	10	sorting	sorting	ADJ
brj-22938	9	11	logs	log	NOUN
brj-22938	9	12	for	for	ADP
brj-22938	9	13	strength	strength	NOUN
brj-22938	9	14	grading	grade	VERB
brj-22938	9	15	can	can	AUX
brj-22938	9	16	be	be	AUX
brj-22938	9	17	done	do	VERB
brj-22938	9	18	using	use	VERB
brj-22938	9	19	either	either	CCONJ
brj-22938	9	20	3d	3d	NUM
brj-22938	9	21	log	log	NOUN
brj-22938	9	22	data	datum	NOUN
brj-22938	9	23	alone	alone	ADV
brj-22938	9	24	,	,	PUNCT
brj-22938	9	25	or	or	CCONJ
brj-22938	9	26	3d	3d	NUM
brj-22938	9	27	log	log	NOUN
brj-22938	9	28	data	datum	NOUN
brj-22938	9	29	augmented	augment	VERB
brj-22938	9	30	with	with	ADP
brj-22938	9	31	x	x	ADJ
brj-22938	9	32	-	-	NOUN
brj-22938	9	33	ray	ray	NOUN
brj-22938	9	34	data	datum	NOUN
brj-22938	9	35	.	.	PUNCT
brj-22938	10	1	the	the	DET
brj-22938	10	2	results	result	NOUN
brj-22938	10	3	show	show	VERB
brj-22938	10	4	an	an	DET
brj-22938	10	5	improved	improved	ADJ
brj-22938	10	6	strength	strength	NOUN
brj-22938	10	7	prediction	prediction	NOUN
brj-22938	10	8	when	when	SCONJ
brj-22938	10	9	adding	add	VERB
brj-22938	10	10	log	log	NOUN
brj-22938	10	11	data	datum	NOUN
brj-22938	10	12	to	to	ADP
brj-22938	10	13	board	board	NOUN
brj-22938	10	14	data	datum	NOUN
brj-22938	10	15	,	,	PUNCT
brj-22938	10	16	and	and	CCONJ
brj-22938	10	17	that	that	SCONJ
brj-22938	10	18	3d	3d	PROPN
brj-22938	10	19	log	log	NOUN
brj-22938	10	20	data	datum	NOUN
brj-22938	10	21	alone	alone	ADV
brj-22938	10	22	is	be	AUX
brj-22938	10	23	not	not	PART
brj-22938	10	24	enough	enough	ADJ
brj-22938	10	25	to	to	PART
brj-22938	10	26	pre	pre	VERB
brj-22938	10	27	-	-	ADJ
brj-22938	10	28	sort	sort	ADJ
brj-22938	10	29	logs	log	NOUN
brj-22938	10	30	for	for	ADP
brj-22938	10	31	strength	strength	NOUN
brj-22938	10	32	,	,	PUNCT
brj-22938	10	33	while	while	SCONJ
brj-22938	10	34	adding	add	VERB
brj-22938	10	35	x	x	NOUN
brj-22938	10	36	-	-	NOUN
brj-22938	10	37	ray	ray	NOUN
brj-22938	10	38	log	log	NOUN
brj-22938	10	39	data	datum	NOUN
brj-22938	10	40	makes	make	VERB
brj-22938	10	41	it	it	PRON
brj-22938	10	42	possible	possible	ADJ
brj-22938	10	43	.	.	PUNCT
brj-22938	11	1	strength	strength	NOUN
brj-22938	11	2	prediction	prediction	NOUN
brj-22938	11	3	on	on	ADP
brj-22938	11	4	scots	scot	NOUN
brj-22938	11	5	pine	pine	NOUN
brj-22938	11	6	performed	perform	VERB
brj-22938	11	7	somewhat	somewhat	ADV
brj-22938	11	8	better	well	ADJ
brj-22938	11	9	than	than	ADP
brj-22938	11	10	prediction	prediction	NOUN
brj-22938	11	11	on	on	ADP
brj-22938	11	12	norway	norway	PROPN
brj-22938	11	13	spruce	spruce	NOUN
brj-22938	11	14	.	.	PUNCT
brj-22938	12	1	doi	doi	NOUN
brj-22938	12	2	:	:	PUNCT
brj-22938	12	3	10.15376	10.15376	NUM
brj-22938	12	4	/	/	SYM
brj-22938	12	5	biores.19.1.1777	biores.19.1.1777	PROPN
brj-22938	12	6	-	-	PUNCT
brj-22938	12	7	1788	1788	NUM
brj-22938	12	8	keywords	keyword	NOUN
brj-22938	12	9	:	:	PUNCT
brj-22938	12	10	3d	3d	NUM
brj-22938	12	11	scanning	scanning	NOUN
brj-22938	12	12	;	;	PUNCT
brj-22938	12	13	board	board	NOUN
brj-22938	12	14	scanning	scanning	NOUN
brj-22938	12	15	;	;	PUNCT
brj-22938	12	16	log	log	NOUN
brj-22938	12	17	scanning	scanning	NOUN
brj-22938	12	18	;	;	PUNCT
brj-22938	12	19	norway	norway	NOUN
brj-22938	12	20	spruce	spruce	NOUN
brj-22938	12	21	;	;	PUNCT
brj-22938	12	22	sawmills	sawmill	NOUN
brj-22938	12	23	;	;	PUNCT
brj-22938	12	24	scots	scot	NOUN
brj-22938	12	25	pine	pine	NOUN
brj-22938	12	26	;	;	PUNCT
brj-22938	12	27	strength	strength	NOUN
brj-22938	12	28	grading	grading	NOUN
brj-22938	12	29	;	;	PUNCT
brj-22938	12	30	traceability	traceability	NOUN
brj-22938	12	31	,	,	PUNCT
brj-22938	12	32	x	x	NOUN
brj-22938	12	33	-	-	NOUN
brj-22938	12	34	ray	ray	NOUN
brj-22938	12	35	scanning	scanning	NOUN
brj-22938	12	36	contact	contact	NOUN
brj-22938	12	37	information	information	NOUN
brj-22938	12	38	:	:	PUNCT
brj-22938	12	39	luleå	luleå	PROPN
brj-22938	12	40	university	university	PROPN
brj-22938	12	41	of	of	ADP
brj-22938	12	42	technology	technology	PROPN
brj-22938	12	43	,	,	PUNCT
brj-22938	12	44	forskargatan	forskargatan	ADJ
brj-22938	12	45	1	1	NUM
brj-22938	12	46	,	,	PUNCT
brj-22938	12	47	931	931	NUM
brj-22938	12	48	87	87	NUM
brj-22938	12	49	skellefteå	skellefteå	NOUN
brj-22938	12	50	,	,	PUNCT
brj-22938	12	51	sweden	sweden	ADJ
brj-22938	12	52	;	;	PUNCT
brj-22938	12	53	*	*	PUNCT
brj-22938	12	54	corresponding	correspond	VERB
brj-22938	12	55	author	author	NOUN
brj-22938	12	56	:	:	PUNCT
brj-22938	12	57	magnus.1.fredriksson@ltu.se	magnus.1.fredriksson@ltu.se	ADJ
brj-22938	12	58	introduction	introduction	NOUN
brj-22938	12	59	using	use	VERB
brj-22938	12	60	wood	wood	NOUN
brj-22938	12	61	as	as	ADP
brj-22938	12	62	a	a	DET
brj-22938	12	63	construction	construction	NOUN
brj-22938	12	64	material	material	NOUN
brj-22938	12	65	requires	require	VERB
brj-22938	12	66	that	that	SCONJ
brj-22938	12	67	it	it	PRON
brj-22938	12	68	is	be	AUX
brj-22938	12	69	classified	classify	VERB
brj-22938	12	70	and	and	CCONJ
brj-22938	12	71	graded	grade	VERB
brj-22938	12	72	regarding	regard	VERB
brj-22938	12	73	strength	strength	NOUN
brj-22938	12	74	.	.	PUNCT
brj-22938	13	1	the	the	DET
brj-22938	13	2	reason	reason	NOUN
brj-22938	13	3	for	for	ADP
brj-22938	13	4	this	this	PRON
brj-22938	13	5	is	be	AUX
brj-22938	13	6	to	to	PART
brj-22938	13	7	avoid	avoid	VERB
brj-22938	13	8	failures	failure	NOUN
brj-22938	13	9	of	of	ADP
brj-22938	13	10	the	the	DET
brj-22938	13	11	construction	construction	NOUN
brj-22938	13	12	and	and	CCONJ
brj-22938	13	13	ensure	ensure	VERB
brj-22938	13	14	proper	proper	ADJ
brj-22938	13	15	dimensioning	dimensioning	NOUN
brj-22938	13	16	.	.	PUNCT
brj-22938	14	1	traditionally	traditionally	ADV
brj-22938	14	2	in	in	ADP
brj-22938	14	3	the	the	DET
brj-22938	14	4	nordic	nordic	ADJ
brj-22938	14	5	countries	country	NOUN
brj-22938	14	6	,	,	PUNCT
brj-22938	14	7	strength	strength	NOUN
brj-22938	14	8	grading	grading	NOUN
brj-22938	14	9	has	have	AUX
brj-22938	14	10	been	be	AUX
brj-22938	14	11	done	do	VERB
brj-22938	14	12	on	on	ADP
brj-22938	14	13	mainly	mainly	ADV
brj-22938	14	14	norway	norway	NOUN
brj-22938	14	15	spruce	spruce	NOUN
brj-22938	14	16	(	(	PUNCT
brj-22938	14	17	picea	picea	NOUN
brj-22938	14	18	abies	abie	NOUN
brj-22938	14	19	l.	l.	PROPN
brj-22938	14	20	karst	karst	PROPN
brj-22938	14	21	.	.	PUNCT
brj-22938	14	22	)	)	PUNCT
brj-22938	15	1	using	use	VERB
brj-22938	15	2	either	either	CCONJ
brj-22938	15	3	visual	visual	ADJ
brj-22938	15	4	grading	grade	VERB
brj-22938	15	5	on	on	ADP
brj-22938	15	6	features	feature	NOUN
brj-22938	15	7	that	that	PRON
brj-22938	15	8	can	can	AUX
brj-22938	15	9	be	be	AUX
brj-22938	15	10	seen	see	VERB
brj-22938	15	11	on	on	ADP
brj-22938	15	12	the	the	DET
brj-22938	15	13	surface	surface	NOUN
brj-22938	15	14	,	,	PUNCT
brj-22938	15	15	or	or	CCONJ
brj-22938	15	16	by	by	ADP
brj-22938	15	17	mechanical	mechanical	ADJ
brj-22938	15	18	testing	testing	NOUN
brj-22938	15	19	.	.	PUNCT
brj-22938	16	1	grading	grade	VERB
brj-22938	16	2	can	can	AUX
brj-22938	16	3	be	be	AUX
brj-22938	16	4	done	do	VERB
brj-22938	16	5	manually	manually	ADV
brj-22938	16	6	or	or	CCONJ
brj-22938	16	7	automatically	automatically	ADV
brj-22938	16	8	,	,	PUNCT
brj-22938	16	9	and	and	CCONJ
brj-22938	16	10	in	in	ADP
brj-22938	16	11	europe	europe	PROPN
brj-22938	16	12	,	,	PUNCT
brj-22938	16	13	the	the	DET
brj-22938	16	14	harmonized	harmonized	ADJ
brj-22938	16	15	standard	standard	NOUN
brj-22938	16	16	en	en	ADP
brj-22938	16	17	14081	14081	NUM
brj-22938	16	18	(	(	PUNCT
brj-22938	16	19	2019	2019	NUM
brj-22938	16	20	)	)	PUNCT
brj-22938	16	21	is	be	AUX
brj-22938	16	22	used	use	VERB
brj-22938	16	23	for	for	ADP
brj-22938	16	24	structural	structural	ADJ
brj-22938	16	25	timber	timber	NOUN
brj-22938	16	26	.	.	PUNCT
brj-22938	17	1	scanning	scan	VERB
brj-22938	17	2	systems	system	NOUN
brj-22938	17	3	used	use	VERB
brj-22938	17	4	for	for	ADP
brj-22938	17	5	industrial	industrial	ADJ
brj-22938	17	6	automatic	automatic	ADJ
brj-22938	17	7	strength	strength	NOUN
brj-22938	17	8	grading	grade	VERB
brj-22938	17	9	of	of	ADP
brj-22938	17	10	sawn	sawn	NOUN
brj-22938	17	11	timber	timber	NOUN
brj-22938	17	12	can	can	AUX
brj-22938	17	13	be	be	AUX
brj-22938	17	14	based	base	VERB
brj-22938	17	15	on	on	ADP
brj-22938	17	16	visual	visual	ADJ
brj-22938	17	17	light	light	NOUN
brj-22938	17	18	,	,	PUNCT
brj-22938	17	19	often	often	ADV
brj-22938	17	20	complemented	complement	VERB
brj-22938	17	21	with	with	ADP
brj-22938	17	22	a	a	DET
brj-22938	17	23	laser	laser	NOUN
brj-22938	17	24	line	line	NOUN
brj-22938	17	25	or	or	CCONJ
brj-22938	17	26	laser	laser	NOUN
brj-22938	17	27	dots	dot	NOUN
brj-22938	17	28	,	,	PUNCT
brj-22938	17	29	or	or	CCONJ
brj-22938	17	30	x	x	X
brj-22938	17	31	-	-	NOUN
brj-22938	17	32	ray	ray	NOUN
brj-22938	17	33	scanning	scanning	NOUN
brj-22938	17	34	.	.	PUNCT
brj-22938	18	1	many	many	ADJ
brj-22938	18	2	times	time	NOUN
brj-22938	18	3	,	,	PUNCT
brj-22938	18	4	different	different	ADJ
brj-22938	18	5	technologies	technology	NOUN
brj-22938	18	6	are	be	AUX
brj-22938	18	7	used	use	VERB
brj-22938	18	8	in	in	ADP
brj-22938	18	9	combination	combination	NOUN
brj-22938	18	10	,	,	PUNCT
brj-22938	18	11	or	or	CCONJ
brj-22938	18	12	together	together	ADV
brj-22938	18	13	with	with	ADP
brj-22938	18	14	mechanical	mechanical	ADJ
brj-22938	18	15	test	test	NOUN
brj-22938	18	16	methods	method	NOUN
brj-22938	18	17	such	such	ADJ
brj-22938	18	18	as	as	ADP
brj-22938	18	19	dynamic	dynamic	ADJ
brj-22938	18	20	stiffness	stiffness	NOUN
brj-22938	18	21	measurement	measurement	NOUN
brj-22938	18	22	(	(	PUNCT
brj-22938	18	23	olsson	olsson	NOUN
brj-22938	18	24	et	et	PROPN
brj-22938	18	25	al	al	PROPN
brj-22938	18	26	.	.	PROPN
brj-22938	18	27	2012	2012	NUM
brj-22938	18	28	)	)	PUNCT
brj-22938	18	29	.	.	PUNCT
brj-22938	19	1	the	the	DET
brj-22938	19	2	sawmill	sawmill	NOUN
brj-22938	19	3	process	process	NOUN
brj-22938	19	4	is	be	AUX
brj-22938	19	5	a	a	DET
brj-22938	19	6	non	non	ADJ
brj-22938	19	7	-	-	ADJ
brj-22938	19	8	continuous	continuous	ADJ
brj-22938	19	9	process	process	NOUN
brj-22938	19	10	,	,	PUNCT
brj-22938	19	11	meaning	mean	VERB
brj-22938	19	12	that	that	SCONJ
brj-22938	19	13	material	material	NOUN
brj-22938	19	14	is	be	AUX
brj-22938	19	15	resorted	resort	VERB
brj-22938	19	16	,	,	PUNCT
brj-22938	19	17	stored	store	VERB
brj-22938	19	18	,	,	PUNCT
brj-22938	19	19	and	and	CCONJ
brj-22938	19	20	transported	transport	VERB
brj-22938	19	21	between	between	ADP
brj-22938	19	22	production	production	NOUN
brj-22938	19	23	stations	station	NOUN
brj-22938	19	24	,	,	PUNCT
brj-22938	19	25	not	not	PART
brj-22938	19	26	necessarily	necessarily	ADV
brj-22938	19	27	arriving	arrive	VERB
brj-22938	19	28	in	in	ADP
brj-22938	19	29	the	the	DET
brj-22938	19	30	peer	peer	NOUN
brj-22938	19	31	-	-	PUNCT
brj-22938	19	32	reviewed	review	VERB
brj-22938	19	33	article	article	NOUN
brj-22938	19	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	19	35	fredriksson	fredriksson	NOUN
brj-22938	19	36	(	(	PUNCT
brj-22938	19	37	2024	2024	NUM
brj-22938	19	38	)	)	PUNCT
brj-22938	19	39	.	.	PUNCT
brj-22938	20	1	“	"	PUNCT
brj-22938	20	2	board	board	NOUN
brj-22938	20	3	strength	strength	NOUN
brj-22938	20	4	&	&	CCONJ
brj-22938	20	5	log	log	PROPN
brj-22938	20	6	data	data	PROPN
brj-22938	20	7	,	,	PUNCT
brj-22938	20	8	”	"	PUNCT
brj-22938	20	9	bioresources	bioresource	NOUN
brj-22938	20	10	19(1	19(1	NUM
brj-22938	20	11	)	)	PUNCT
brj-22938	20	12	,	,	PUNCT
brj-22938	20	13	1777	1777	NUM
brj-22938	20	14	-	-	SYM
brj-22938	20	15	1788	1788	NUM
brj-22938	20	16	.	.	PUNCT
brj-22938	21	1	1778	1778	NUM
brj-22938	21	2	same	same	ADJ
brj-22938	21	3	order	order	NOUN
brj-22938	21	4	as	as	SCONJ
brj-22938	21	5	it	it	PRON
brj-22938	21	6	left	leave	VERB
brj-22938	21	7	the	the	DET
brj-22938	21	8	previous	previous	ADJ
brj-22938	21	9	station	station	NOUN
brj-22938	21	10	.	.	PUNCT
brj-22938	22	1	this	this	PRON
brj-22938	22	2	is	be	AUX
brj-22938	22	3	often	often	ADV
brj-22938	22	4	a	a	DET
brj-22938	22	5	practical	practical	ADJ
brj-22938	22	6	necessity	necessity	NOUN
brj-22938	22	7	,	,	PUNCT
brj-22938	22	8	for	for	ADP
brj-22938	22	9	instance	instance	NOUN
brj-22938	22	10	in	in	ADP
brj-22938	22	11	the	the	DET
brj-22938	22	12	case	case	NOUN
brj-22938	22	13	of	of	ADP
brj-22938	22	14	kiln	kiln	NOUN
brj-22938	22	15	drying	drying	NOUN
brj-22938	22	16	.	.	PUNCT
brj-22938	23	1	this	this	PRON
brj-22938	23	2	also	also	ADV
brj-22938	23	3	means	mean	VERB
brj-22938	23	4	that	that	SCONJ
brj-22938	23	5	it	it	PRON
brj-22938	23	6	is	be	AUX
brj-22938	23	7	difficult	difficult	ADJ
brj-22938	23	8	to	to	PART
brj-22938	23	9	retain	retain	VERB
brj-22938	23	10	information	information	NOUN
brj-22938	23	11	on	on	ADP
brj-22938	23	12	individual	individual	ADJ
brj-22938	23	13	pieces	piece	NOUN
brj-22938	23	14	of	of	ADP
brj-22938	23	15	material	material	NOUN
brj-22938	23	16	(	(	PUNCT
brj-22938	23	17	logs	log	NOUN
brj-22938	23	18	and	and	CCONJ
brj-22938	23	19	boards	board	NOUN
brj-22938	23	20	)	)	PUNCT
brj-22938	23	21	.	.	PUNCT
brj-22938	24	1	each	each	DET
brj-22938	24	2	new	new	ADJ
brj-22938	24	3	production	production	NOUN
brj-22938	24	4	station	station	NOUN
brj-22938	24	5	then	then	ADV
brj-22938	24	6	requires	require	VERB
brj-22938	24	7	new	new	ADJ
brj-22938	24	8	measurements	measurement	NOUN
brj-22938	24	9	,	,	PUNCT
brj-22938	24	10	without	without	ADP
brj-22938	24	11	any	any	DET
brj-22938	24	12	knowledge	knowledge	NOUN
brj-22938	24	13	of	of	ADP
brj-22938	24	14	what	what	PRON
brj-22938	24	15	happened	happen	VERB
brj-22938	24	16	in	in	ADP
brj-22938	24	17	previous	previous	ADJ
brj-22938	24	18	steps	step	NOUN
brj-22938	24	19	.	.	PUNCT
brj-22938	25	1	therefore	therefore	ADV
brj-22938	25	2	,	,	PUNCT
brj-22938	25	3	strength	strength	NOUN
brj-22938	25	4	grading	grading	NOUN
brj-22938	25	5	of	of	ADP
brj-22938	25	6	wood	wood	NOUN
brj-22938	25	7	is	be	AUX
brj-22938	25	8	normally	normally	ADV
brj-22938	25	9	based	base	VERB
brj-22938	25	10	on	on	ADP
brj-22938	25	11	measurements	measurement	NOUN
brj-22938	25	12	on	on	ADP
brj-22938	25	13	the	the	DET
brj-22938	25	14	sawn	sawn	NOUN
brj-22938	25	15	timber	timber	NOUN
brj-22938	25	16	alone	alone	ADV
brj-22938	25	17	.	.	PUNCT
brj-22938	26	1	developments	development	NOUN
brj-22938	26	2	in	in	ADP
brj-22938	26	3	measurement	measurement	NOUN
brj-22938	26	4	technology	technology	NOUN
brj-22938	26	5	and	and	CCONJ
brj-22938	26	6	data	datum	NOUN
brj-22938	26	7	handling	handling	NOUN
brj-22938	26	8	and	and	CCONJ
brj-22938	26	9	analysis	analysis	NOUN
brj-22938	26	10	in	in	ADP
brj-22938	26	11	sawmills	sawmill	NOUN
brj-22938	26	12	mean	mean	VERB
brj-22938	26	13	possibilities	possibility	NOUN
brj-22938	26	14	to	to	PART
brj-22938	26	15	improve	improve	VERB
brj-22938	26	16	industrial	industrial	ADJ
brj-22938	26	17	strength	strength	NOUN
brj-22938	26	18	grading	grade	VERB
brj-22938	26	19	of	of	ADP
brj-22938	26	20	wood	wood	NOUN
brj-22938	26	21	,	,	PUNCT
brj-22938	26	22	as	as	SCONJ
brj-22938	26	23	more	more	ADJ
brj-22938	26	24	information	information	NOUN
brj-22938	26	25	on	on	ADP
brj-22938	26	26	the	the	DET
brj-22938	26	27	wood	wood	NOUN
brj-22938	26	28	material	material	NOUN
brj-22938	26	29	is	be	AUX
brj-22938	26	30	available	available	ADJ
brj-22938	26	31	than	than	ADP
brj-22938	26	32	before	before	ADV
brj-22938	26	33	.	.	PUNCT
brj-22938	27	1	one	one	NUM
brj-22938	27	2	example	example	NOUN
brj-22938	27	3	is	be	AUX
brj-22938	27	4	computed	compute	VERB
brj-22938	27	5	tomography	tomography	NOUN
brj-22938	27	6	x	x	NOUN
brj-22938	27	7	-	-	NOUN
brj-22938	27	8	ray	ray	NOUN
brj-22938	27	9	scanning	scanning	NOUN
brj-22938	27	10	of	of	ADP
brj-22938	27	11	logs	log	NOUN
brj-22938	27	12	(	(	PUNCT
brj-22938	27	13	fredriksson	fredriksson	NOUN
brj-22938	27	14	et	et	PROPN
brj-22938	27	15	al	al	PROPN
brj-22938	27	16	.	.	PROPN
brj-22938	27	17	2017	2017	NUM
brj-22938	27	18	)	)	PUNCT
brj-22938	27	19	.	.	PUNCT
brj-22938	28	1	implementation	implementation	NOUN
brj-22938	28	2	of	of	ADP
brj-22938	28	3	such	such	ADJ
brj-22938	28	4	technology	technology	NOUN
brj-22938	28	5	is	be	AUX
brj-22938	28	6	creating	create	VERB
brj-22938	28	7	opportunities	opportunity	NOUN
brj-22938	28	8	to	to	PART
brj-22938	28	9	measure	measure	VERB
brj-22938	28	10	and	and	CCONJ
brj-22938	28	11	classify	classify	VERB
brj-22938	28	12	logs	log	NOUN
brj-22938	28	13	at	at	ADP
brj-22938	28	14	an	an	DET
brj-22938	28	15	early	early	ADJ
brj-22938	28	16	stage	stage	NOUN
brj-22938	28	17	of	of	ADP
brj-22938	28	18	the	the	DET
brj-22938	28	19	sawmill	sawmill	NOUN
brj-22938	28	20	process	process	NOUN
brj-22938	28	21	,	,	PUNCT
brj-22938	28	22	using	use	VERB
brj-22938	28	23	detailed	detailed	ADJ
brj-22938	28	24	information	information	NOUN
brj-22938	28	25	on	on	ADP
brj-22938	28	26	internal	internal	ADJ
brj-22938	28	27	features	feature	NOUN
brj-22938	28	28	of	of	ADP
brj-22938	28	29	the	the	DET
brj-22938	28	30	logs	log	NOUN
brj-22938	28	31	.	.	PUNCT
brj-22938	29	1	other	other	ADJ
brj-22938	29	2	existing	exist	VERB
brj-22938	29	3	log	log	NOUN
brj-22938	29	4	scanning	scanning	NOUN
brj-22938	29	5	technologies	technology	NOUN
brj-22938	29	6	used	use	VERB
brj-22938	29	7	for	for	ADP
brj-22938	29	8	grading	grade	VERB
brj-22938	29	9	and	and	CCONJ
brj-22938	29	10	sorting	sorting	NOUN
brj-22938	29	11	include	include	VERB
brj-22938	29	12	discrete	discrete	ADJ
brj-22938	29	13	x	x	ADJ
brj-22938	29	14	-	-	NOUN
brj-22938	29	15	ray	ray	NOUN
brj-22938	29	16	scanners	scanner	NOUN
brj-22938	29	17	(	(	PUNCT
brj-22938	29	18	grundberg	grundberg	PROPN
brj-22938	29	19	1999	1999	NUM
brj-22938	29	20	;	;	PUNCT
brj-22938	29	21	skog	skog	NOUN
brj-22938	29	22	and	and	CCONJ
brj-22938	29	23	oja	oja	NOUN
brj-22938	29	24	2009	2009	NUM
brj-22938	29	25	)	)	PUNCT
brj-22938	29	26	,	,	PUNCT
brj-22938	29	27	optical	optical	ADJ
brj-22938	29	28	3d	3d	NOUN
brj-22938	29	29	scanners	scanner	NOUN
brj-22938	29	30	using	use	VERB
brj-22938	29	31	laser	laser	NOUN
brj-22938	29	32	triangulation	triangulation	NOUN
brj-22938	29	33	(	(	PUNCT
brj-22938	29	34	jäppinen	jäppinen	NOUN
brj-22938	29	35	2000	2000	NUM
brj-22938	29	36	)	)	PUNCT
brj-22938	29	37	,	,	PUNCT
brj-22938	29	38	and	and	CCONJ
brj-22938	29	39	simpler	simple	ADJ
brj-22938	29	40	shadow	shadow	NOUN
brj-22938	29	41	scanners	scanner	NOUN
brj-22938	29	42	(	(	PUNCT
brj-22938	29	43	mongeau	mongeau	ADV
brj-22938	29	44	et	et	PROPN
brj-22938	29	45	al	al	PROPN
brj-22938	29	46	.	.	PROPN
brj-22938	29	47	1993	1993	NUM
brj-22938	29	48	;	;	PUNCT
brj-22938	29	49	skatter	skatter	PROPN
brj-22938	29	50	et	et	PROPN
brj-22938	29	51	al	al	PROPN
brj-22938	29	52	.	.	PROPN
brj-22938	29	53	1998	1998	NUM
brj-22938	29	54	)	)	PUNCT
brj-22938	29	55	.	.	PUNCT
brj-22938	30	1	discrete	discrete	ADJ
brj-22938	30	2	x	x	NOUN
brj-22938	30	3	-	-	NOUN
brj-22938	30	4	ray	ray	NOUN
brj-22938	30	5	scanners	scanner	NOUN
brj-22938	30	6	give	give	VERB
brj-22938	30	7	density	density	NOUN
brj-22938	30	8	information	information	NOUN
brj-22938	30	9	on	on	ADP
brj-22938	30	10	the	the	DET
brj-22938	30	11	log	log	NOUN
brj-22938	30	12	and	and	CCONJ
brj-22938	30	13	some	some	DET
brj-22938	30	14	internal	internal	ADJ
brj-22938	30	15	information	information	NOUN
brj-22938	30	16	such	such	ADJ
brj-22938	30	17	as	as	ADP
brj-22938	30	18	knot	knot	NOUN
brj-22938	30	19	whorl	whorl	NOUN
brj-22938	30	20	positions	position	NOUN
brj-22938	30	21	and	and	CCONJ
brj-22938	30	22	size	size	NOUN
brj-22938	30	23	,	,	PUNCT
brj-22938	30	24	while	while	SCONJ
brj-22938	30	25	the	the	DET
brj-22938	30	26	different	different	ADJ
brj-22938	30	27	3d	3d	NOUN
brj-22938	30	28	scanners	scanner	NOUN
brj-22938	30	29	give	give	VERB
brj-22938	30	30	information	information	NOUN
brj-22938	30	31	on	on	ADP
brj-22938	30	32	the	the	DET
brj-22938	30	33	log	log	NOUN
brj-22938	30	34	shape	shape	NOUN
brj-22938	30	35	,	,	PUNCT
brj-22938	30	36	measuring	measure	VERB
brj-22938	30	37	e.g.	e.g.	ADV
brj-22938	30	38	,	,	PUNCT
brj-22938	30	39	taper	taper	NOUN
brj-22938	30	40	,	,	PUNCT
brj-22938	30	41	ovality	ovality	NOUN
brj-22938	30	42	,	,	PUNCT
brj-22938	30	43	diameter	diameter	NOUN
brj-22938	30	44	,	,	PUNCT
brj-22938	30	45	length	length	NOUN
brj-22938	30	46	,	,	PUNCT
brj-22938	30	47	etc	etc	X
brj-22938	30	48	.	.	X
brj-22938	31	1	these	these	DET
brj-22938	31	2	technologies	technology	NOUN
brj-22938	31	3	have	have	AUX
brj-22938	31	4	been	be	AUX
brj-22938	31	5	in	in	ADP
brj-22938	31	6	use	use	NOUN
brj-22938	31	7	for	for	ADP
brj-22938	31	8	several	several	ADJ
brj-22938	31	9	decades	decade	NOUN
brj-22938	31	10	but	but	CCONJ
brj-22938	31	11	are	be	AUX
brj-22938	31	12	constantly	constantly	ADV
brj-22938	31	13	improving	improve	VERB
brj-22938	31	14	.	.	PUNCT
brj-22938	32	1	studies	study	NOUN
brj-22938	32	2	have	have	AUX
brj-22938	32	3	been	be	AUX
brj-22938	32	4	made	make	VERB
brj-22938	32	5	on	on	ADP
brj-22938	32	6	the	the	DET
brj-22938	32	7	performance	performance	NOUN
brj-22938	32	8	of	of	ADP
brj-22938	32	9	x	x	NOUN
brj-22938	32	10	-	-	NOUN
brj-22938	32	11	ray	ray	NOUN
brj-22938	32	12	log	log	NOUN
brj-22938	32	13	scanning	scanning	NOUN
brj-22938	32	14	for	for	ADP
brj-22938	32	15	strength	strength	NOUN
brj-22938	32	16	grading	grade	VERB
brj-22938	32	17	(	(	PUNCT
brj-22938	32	18	brännström	brännström	NOUN
brj-22938	32	19	et	et	PROPN
brj-22938	32	20	al	al	PROPN
brj-22938	32	21	.	.	PROPN
brj-22938	32	22	2007	2007	NUM
brj-22938	32	23	;	;	PUNCT
brj-22938	32	24	brännström	brännström	NOUN
brj-22938	32	25	2009	2009	NUM
brj-22938	32	26	)	)	PUNCT
brj-22938	32	27	,	,	PUNCT
brj-22938	32	28	but	but	CCONJ
brj-22938	32	29	since	since	SCONJ
brj-22938	32	30	then	then	ADV
brj-22938	32	31	the	the	DET
brj-22938	32	32	scanning	scanning	NOUN
brj-22938	32	33	technology	technology	NOUN
brj-22938	32	34	has	have	AUX
brj-22938	32	35	improved	improve	VERB
brj-22938	32	36	and	and	CCONJ
brj-22938	32	37	other	other	ADJ
brj-22938	32	38	advances	advance	NOUN
brj-22938	32	39	have	have	AUX
brj-22938	32	40	been	be	AUX
brj-22938	32	41	made	make	VERB
brj-22938	32	42	.	.	PUNCT
brj-22938	33	1	johansson	johansson	PROPN
brj-22938	33	2	et	et	PROPN
brj-22938	33	3	al	al	PROPN
brj-22938	33	4	.	.	PROPN
brj-22938	34	1	(	(	PUNCT
brj-22938	34	2	2016	2016	NUM
brj-22938	34	3	)	)	PUNCT
brj-22938	34	4	made	make	VERB
brj-22938	34	5	strength	strength	NOUN
brj-22938	34	6	prediction	prediction	NOUN
brj-22938	34	7	based	base	VERB
brj-22938	34	8	on	on	ADP
brj-22938	34	9	various	various	ADJ
brj-22938	34	10	scanning	scanning	NOUN
brj-22938	34	11	technologies	technology	NOUN
brj-22938	34	12	with	with	ADP
brj-22938	34	13	good	good	ADJ
brj-22938	34	14	results	result	NOUN
brj-22938	34	15	,	,	PUNCT
brj-22938	34	16	but	but	CCONJ
brj-22938	34	17	on	on	ADP
brj-22938	34	18	a	a	DET
brj-22938	34	19	small	small	ADJ
brj-22938	34	20	number	number	NOUN
brj-22938	34	21	of	of	ADP
brj-22938	34	22	logs	log	NOUN
brj-22938	34	23	and	and	CCONJ
brj-22938	34	24	possible	possible	ADJ
brj-22938	34	25	overfitting	overfitting	NOUN
brj-22938	34	26	of	of	ADP
brj-22938	34	27	their	their	PRON
brj-22938	34	28	models	model	NOUN
brj-22938	34	29	.	.	PUNCT
brj-22938	35	1	one	one	NUM
brj-22938	35	2	example	example	NOUN
brj-22938	35	3	of	of	ADP
brj-22938	35	4	such	such	ADJ
brj-22938	35	5	recent	recent	ADJ
brj-22938	35	6	development	development	NOUN
brj-22938	35	7	is	be	AUX
brj-22938	35	8	fingerprint	fingerprint	NOUN
brj-22938	35	9	traceability	traceability	NOUN
brj-22938	35	10	in	in	ADP
brj-22938	35	11	the	the	DET
brj-22938	35	12	sawmill	sawmill	NOUN
brj-22938	35	13	process	process	NOUN
brj-22938	35	14	,	,	PUNCT
brj-22938	35	15	meaning	mean	VERB
brj-22938	35	16	that	that	SCONJ
brj-22938	35	17	individual	individual	ADJ
brj-22938	35	18	sawn	sawn	NOUN
brj-22938	35	19	boards	board	NOUN
brj-22938	35	20	can	can	AUX
brj-22938	35	21	be	be	AUX
brj-22938	35	22	traced	trace	VERB
brj-22938	35	23	back	back	ADV
brj-22938	35	24	to	to	ADP
brj-22938	35	25	their	their	PRON
brj-22938	35	26	log	log	NOUN
brj-22938	35	27	of	of	ADP
brj-22938	35	28	origin	origin	NOUN
brj-22938	35	29	,	,	PUNCT
brj-22938	35	30	and	and	CCONJ
brj-22938	35	31	more	more	ADV
brj-22938	35	32	importantly	importantly	ADV
brj-22938	35	33	,	,	PUNCT
brj-22938	35	34	measurements	measurement	NOUN
brj-22938	35	35	made	make	VERB
brj-22938	35	36	on	on	ADP
brj-22938	35	37	the	the	DET
brj-22938	35	38	log	log	NOUN
brj-22938	35	39	can	can	AUX
brj-22938	35	40	be	be	AUX
brj-22938	35	41	connected	connect	VERB
brj-22938	35	42	to	to	ADP
brj-22938	35	43	measurements	measurement	NOUN
brj-22938	35	44	on	on	ADP
brj-22938	35	45	the	the	DET
brj-22938	35	46	sawn	sawn	NOUN
brj-22938	35	47	board	board	NOUN
brj-22938	35	48	(	(	PUNCT
brj-22938	35	49	skog	skog	PROPN
brj-22938	35	50	et	et	PROPN
brj-22938	35	51	al	al	PROPN
brj-22938	35	52	.	.	PROPN
brj-22938	35	53	2017	2017	NUM
brj-22938	35	54	)	)	PUNCT
brj-22938	35	55	.	.	PUNCT
brj-22938	36	1	the	the	DET
brj-22938	36	2	working	work	VERB
brj-22938	36	3	principle	principle	NOUN
brj-22938	36	4	of	of	ADP
brj-22938	36	5	the	the	DET
brj-22938	36	6	method	method	NOUN
brj-22938	36	7	is	be	AUX
brj-22938	36	8	that	that	SCONJ
brj-22938	36	9	the	the	DET
brj-22938	36	10	lengthwise	lengthwise	NOUN
brj-22938	36	11	position	position	NOUN
brj-22938	36	12	of	of	ADP
brj-22938	36	13	knot	knot	ADJ
brj-22938	36	14	clusters	cluster	NOUN
brj-22938	36	15	detected	detect	VERB
brj-22938	36	16	in	in	ADP
brj-22938	36	17	x	x	ADJ
brj-22938	36	18	-	-	NOUN
brj-22938	36	19	ray	ray	NOUN
brj-22938	36	20	images	image	NOUN
brj-22938	36	21	of	of	ADP
brj-22938	36	22	logs	log	NOUN
brj-22938	36	23	are	be	AUX
brj-22938	36	24	matched	match	VERB
brj-22938	36	25	with	with	ADP
brj-22938	36	26	knot	knot	NOUN
brj-22938	36	27	positions	position	NOUN
brj-22938	36	28	detected	detect	VERB
brj-22938	36	29	using	use	VERB
brj-22938	36	30	camera	camera	NOUN
brj-22938	36	31	measurements	measurement	NOUN
brj-22938	36	32	on	on	ADP
brj-22938	36	33	sawn	sawn	NOUN
brj-22938	36	34	boards	board	NOUN
brj-22938	36	35	.	.	PUNCT
brj-22938	37	1	logs	log	NOUN
brj-22938	37	2	and	and	CCONJ
brj-22938	37	3	sawn	sawn	NOUN
brj-22938	37	4	boards	board	NOUN
brj-22938	37	5	are	be	AUX
brj-22938	37	6	therefore	therefore	ADV
brj-22938	37	7	matched	match	VERB
brj-22938	37	8	even	even	ADV
brj-22938	37	9	though	though	SCONJ
brj-22938	37	10	their	their	PRON
brj-22938	37	11	process	process	NOUN
brj-22938	37	12	order	order	NOUN
brj-22938	37	13	might	might	AUX
brj-22938	37	14	have	have	AUX
brj-22938	37	15	changed	change	VERB
brj-22938	37	16	between	between	ADP
brj-22938	37	17	e.g.	e.g.	ADV
brj-22938	37	18	,	,	PUNCT
brj-22938	37	19	a	a	DET
brj-22938	37	20	log	log	NOUN
brj-22938	37	21	yard	yard	NOUN
brj-22938	37	22	and	and	CCONJ
brj-22938	37	23	a	a	DET
brj-22938	37	24	drying	dry	VERB
brj-22938	37	25	and	and	CCONJ
brj-22938	37	26	trimming	trim	VERB
brj-22938	37	27	plant	plant	NOUN
brj-22938	37	28	.	.	PUNCT
brj-22938	38	1	this	this	PRON
brj-22938	38	2	also	also	ADV
brj-22938	38	3	means	mean	VERB
brj-22938	38	4	that	that	SCONJ
brj-22938	38	5	data	datum	NOUN
brj-22938	38	6	from	from	ADP
brj-22938	38	7	log	log	NOUN
brj-22938	38	8	scanners	scanner	NOUN
brj-22938	38	9	can	can	AUX
brj-22938	38	10	be	be	AUX
brj-22938	38	11	used	use	VERB
brj-22938	38	12	to	to	PART
brj-22938	38	13	complement	complement	VERB
brj-22938	38	14	and	and	CCONJ
brj-22938	38	15	strengthen	strengthen	VERB
brj-22938	38	16	board	board	NOUN
brj-22938	38	17	measurements	measurement	NOUN
brj-22938	38	18	,	,	PUNCT
brj-22938	38	19	creating	create	VERB
brj-22938	38	20	synergy	synergy	NOUN
brj-22938	38	21	effects	effect	NOUN
brj-22938	38	22	and	and	CCONJ
brj-22938	38	23	improved	improved	ADJ
brj-22938	38	24	control	control	NOUN
brj-22938	38	25	.	.	PUNCT
brj-22938	39	1	for	for	ADP
brj-22938	39	2	instance	instance	NOUN
brj-22938	39	3	,	,	PUNCT
brj-22938	39	4	many	many	ADJ
brj-22938	39	5	board	board	NOUN
brj-22938	39	6	scanner	scanner	NOUN
brj-22938	39	7	systems	system	NOUN
brj-22938	39	8	lack	lack	VERB
brj-22938	39	9	x	x	ADJ
brj-22938	39	10	-	-	NOUN
brj-22938	39	11	ray	ray	NOUN
brj-22938	39	12	capabilities	capability	NOUN
brj-22938	39	13	,	,	PUNCT
brj-22938	39	14	but	but	CCONJ
brj-22938	39	15	x	x	X
brj-22938	39	16	-	-	NOUN
brj-22938	39	17	ray	ray	NOUN
brj-22938	39	18	scanning	scanning	NOUN
brj-22938	39	19	of	of	ADP
brj-22938	39	20	logs	log	NOUN
brj-22938	39	21	is	be	AUX
brj-22938	39	22	becoming	become	VERB
brj-22938	39	23	more	more	ADV
brj-22938	39	24	and	and	CCONJ
brj-22938	39	25	more	more	ADV
brj-22938	39	26	common	common	ADJ
brj-22938	39	27	.	.	PUNCT
brj-22938	40	1	if	if	SCONJ
brj-22938	40	2	x	x	NOUN
brj-22938	40	3	-	-	NOUN
brj-22938	40	4	ray	ray	NOUN
brj-22938	40	5	log	log	NOUN
brj-22938	40	6	data	datum	NOUN
brj-22938	40	7	could	could	AUX
brj-22938	40	8	complement	complement	VERB
brj-22938	40	9	strength	strength	NOUN
brj-22938	40	10	grading	grading	NOUN
brj-22938	40	11	done	do	VERB
brj-22938	40	12	by	by	ADP
brj-22938	40	13	board	board	NOUN
brj-22938	40	14	scanners	scanner	NOUN
brj-22938	40	15	,	,	PUNCT
brj-22938	40	16	then	then	ADV
brj-22938	40	17	a	a	DET
brj-22938	40	18	lot	lot	NOUN
brj-22938	40	19	more	more	ADJ
brj-22938	40	20	information	information	NOUN
brj-22938	40	21	on	on	ADP
brj-22938	40	22	e.g.	e.g.	ADV
brj-22938	40	23	,	,	PUNCT
brj-22938	40	24	wood	wood	NOUN
brj-22938	40	25	density	density	NOUN
brj-22938	40	26	would	would	AUX
brj-22938	40	27	be	be	AUX
brj-22938	40	28	available	available	ADJ
brj-22938	40	29	when	when	SCONJ
brj-22938	40	30	grading	grade	VERB
brj-22938	40	31	.	.	PUNCT
brj-22938	41	1	both	both	PRON
brj-22938	41	2	improved	improve	VERB
brj-22938	41	3	log	log	NOUN
brj-22938	41	4	scanning	scanning	NOUN
brj-22938	41	5	using	use	VERB
brj-22938	41	6	more	more	ADJ
brj-22938	41	7	modern	modern	ADJ
brj-22938	41	8	x	x	ADJ
brj-22938	41	9	-	-	NOUN
brj-22938	41	10	ray	ray	NOUN
brj-22938	41	11	scanners	scanner	NOUN
brj-22938	41	12	,	,	PUNCT
brj-22938	41	13	as	as	ADV
brj-22938	41	14	well	well	ADV
brj-22938	41	15	as	as	ADP
brj-22938	41	16	traceability	traceability	NOUN
brj-22938	41	17	methods	method	NOUN
brj-22938	41	18	to	to	PART
brj-22938	41	19	aggregate	aggregate	VERB
brj-22938	41	20	data	datum	NOUN
brj-22938	41	21	and	and	CCONJ
brj-22938	41	22	thus	thus	ADV
brj-22938	41	23	increase	increase	VERB
brj-22938	41	24	the	the	DET
brj-22938	41	25	amount	amount	NOUN
brj-22938	41	26	of	of	ADP
brj-22938	41	27	information	information	NOUN
brj-22938	41	28	available	available	ADJ
brj-22938	41	29	at	at	ADP
brj-22938	41	30	a	a	DET
brj-22938	41	31	certain	certain	ADJ
brj-22938	41	32	point	point	NOUN
brj-22938	41	33	in	in	ADP
brj-22938	41	34	the	the	DET
brj-22938	41	35	sawmill	sawmill	NOUN
brj-22938	41	36	process	process	NOUN
brj-22938	41	37	,	,	PUNCT
brj-22938	41	38	mean	mean	VERB
brj-22938	41	39	possibilities	possibility	NOUN
brj-22938	41	40	to	to	PART
brj-22938	41	41	improve	improve	VERB
brj-22938	41	42	the	the	DET
brj-22938	41	43	decisions	decision	NOUN
brj-22938	41	44	taken	take	VERB
brj-22938	41	45	–	–	PUNCT
brj-22938	41	46	strength	strength	NOUN
brj-22938	41	47	grading	grade	VERB
brj-22938	41	48	being	be	AUX
brj-22938	41	49	one	one	NUM
brj-22938	41	50	important	important	ADJ
brj-22938	41	51	example	example	NOUN
brj-22938	41	52	.	.	PUNCT
brj-22938	42	1	most	most	ADJ
brj-22938	42	2	previous	previous	ADJ
brj-22938	42	3	studies	study	NOUN
brj-22938	42	4	on	on	ADP
brj-22938	42	5	strength	strength	NOUN
brj-22938	42	6	grading	grade	VERB
brj-22938	42	7	of	of	ADP
brj-22938	42	8	softwood	softwood	NOUN
brj-22938	42	9	species	specie	NOUN
brj-22938	42	10	used	use	VERB
brj-22938	42	11	in	in	ADP
brj-22938	42	12	northern	northern	ADJ
brj-22938	42	13	europe	europe	PROPN
brj-22938	42	14	have	have	AUX
brj-22938	42	15	focused	focus	VERB
brj-22938	42	16	on	on	ADP
brj-22938	42	17	norway	norway	PROPN
brj-22938	42	18	spruce	spruce	NOUN
brj-22938	42	19	,	,	PUNCT
brj-22938	42	20	since	since	SCONJ
brj-22938	42	21	this	this	PRON
brj-22938	42	22	is	be	AUX
brj-22938	42	23	the	the	DET
brj-22938	42	24	species	specie	NOUN
brj-22938	42	25	traditionally	traditionally	ADV
brj-22938	42	26	used	use	VERB
brj-22938	42	27	for	for	ADP
brj-22938	42	28	construction	construction	NOUN
brj-22938	42	29	purposes	purpose	NOUN
brj-22938	42	30	.	.	PUNCT
brj-22938	43	1	however	however	ADV
brj-22938	43	2	,	,	PUNCT
brj-22938	43	3	a	a	DET
brj-22938	43	4	large	large	ADJ
brj-22938	43	5	amount	amount	NOUN
brj-22938	43	6	of	of	ADP
brj-22938	43	7	scots	scot	NOUN
brj-22938	43	8	pine	pine	NOUN
brj-22938	43	9	(	(	PUNCT
brj-22938	43	10	pinus	pinus	NOUN
brj-22938	43	11	sylvestris	sylvestris	NOUN
brj-22938	43	12	l.	l.	PROPN
brj-22938	43	13	)	)	PUNCT
brj-22938	43	14	is	be	AUX
brj-22938	43	15	also	also	ADV
brj-22938	43	16	grown	grow	VERB
brj-22938	43	17	in	in	ADP
brj-22938	43	18	e.g.	e.g.	ADV
brj-22938	43	19	,	,	PUNCT
brj-22938	43	20	the	the	DET
brj-22938	43	21	nordic	nordic	ADJ
brj-22938	43	22	countries	country	NOUN
brj-22938	43	23	,	,	PUNCT
brj-22938	43	24	so	so	CCONJ
brj-22938	43	25	there	there	PRON
brj-22938	43	26	is	be	VERB
brj-22938	43	27	a	a	DET
brj-22938	43	28	potential	potential	NOUN
brj-22938	43	29	to	to	PART
brj-22938	43	30	use	use	VERB
brj-22938	43	31	this	this	DET
brj-22938	43	32	species	specie	NOUN
brj-22938	43	33	for	for	ADP
brj-22938	43	34	construction	construction	NOUN
brj-22938	43	35	purposes	purpose	NOUN
brj-22938	43	36	.	.	PUNCT
brj-22938	44	1	therefore	therefore	ADV
brj-22938	44	2	,	,	PUNCT
brj-22938	44	3	it	it	PRON
brj-22938	44	4	is	be	AUX
brj-22938	44	5	of	of	ADP
brj-22938	44	6	interest	interest	NOUN
brj-22938	44	7	to	to	PART
brj-22938	44	8	develop	develop	VERB
brj-22938	44	9	prediction	prediction	NOUN
brj-22938	44	10	models	model	NOUN
brj-22938	44	11	for	for	ADP
brj-22938	44	12	strength	strength	NOUN
brj-22938	44	13	of	of	ADP
brj-22938	44	14	scots	scot	NOUN
brj-22938	44	15	pine	pine	VERB
brj-22938	44	16	timber	timber	NOUN
brj-22938	44	17	as	as	ADV
brj-22938	44	18	well	well	ADV
brj-22938	44	19	.	.	PUNCT
brj-22938	45	1	the	the	DET
brj-22938	45	2	objective	objective	NOUN
brj-22938	45	3	of	of	ADP
brj-22938	45	4	this	this	DET
brj-22938	45	5	study	study	NOUN
brj-22938	45	6	was	be	AUX
brj-22938	45	7	therefore	therefore	ADV
brj-22938	45	8	to	to	PART
brj-22938	45	9	compare	compare	VERB
brj-22938	45	10	the	the	DET
brj-22938	45	11	strength	strength	NOUN
brj-22938	45	12	prediction	prediction	NOUN
brj-22938	45	13	capability	capability	NOUN
brj-22938	45	14	of	of	ADP
brj-22938	45	15	board	board	NOUN
brj-22938	45	16	scanning	scanning	NOUN
brj-22938	45	17	alone	alone	ADV
brj-22938	45	18	,	,	PUNCT
brj-22938	45	19	to	to	PART
brj-22938	45	20	board	board	NOUN
brj-22938	45	21	scanning	scanning	NOUN
brj-22938	45	22	augmented	augment	VERB
brj-22938	45	23	with	with	ADP
brj-22938	45	24	x	x	NOUN
brj-22938	45	25	-	-	NOUN
brj-22938	45	26	ray	ray	NOUN
brj-22938	45	27	and	and	CCONJ
brj-22938	45	28	3d	3d	PROPN
brj-22938	45	29	data	datum	NOUN
brj-22938	45	30	peer	peer	NOUN
brj-22938	45	31	-	-	PUNCT
brj-22938	45	32	reviewed	review	VERB
brj-22938	45	33	article	article	NOUN
brj-22938	45	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	45	35	fredriksson	fredriksson	NOUN
brj-22938	45	36	(	(	PUNCT
brj-22938	45	37	2024	2024	NUM
brj-22938	45	38	)	)	PUNCT
brj-22938	45	39	.	.	PUNCT
brj-22938	46	1	“	"	PUNCT
brj-22938	46	2	board	board	NOUN
brj-22938	46	3	strength	strength	NOUN
brj-22938	46	4	&	&	CCONJ
brj-22938	46	5	log	log	PROPN
brj-22938	46	6	data	data	PROPN
brj-22938	46	7	,	,	PUNCT
brj-22938	46	8	”	"	PUNCT
brj-22938	46	9	bioresources	bioresource	NOUN
brj-22938	46	10	19(1	19(1	NUM
brj-22938	46	11	)	)	PUNCT
brj-22938	46	12	,	,	PUNCT
brj-22938	46	13	1777	1777	NUM
brj-22938	46	14	-	-	SYM
brj-22938	46	15	1788	1788	NUM
brj-22938	46	16	.	.	PUNCT
brj-22938	47	1	1779	1779	NUM
brj-22938	47	2	from	from	ADP
brj-22938	47	3	log	log	NOUN
brj-22938	47	4	scanning	scanning	NOUN
brj-22938	47	5	.	.	PUNCT
brj-22938	48	1	this	this	PRON
brj-22938	48	2	was	be	AUX
brj-22938	48	3	achieved	achieve	VERB
brj-22938	48	4	using	use	VERB
brj-22938	48	5	partial	partial	ADJ
brj-22938	48	6	least	least	ADJ
brj-22938	48	7	squares	square	NOUN
brj-22938	48	8	regression	regression	NOUN
brj-22938	48	9	models	model	NOUN
brj-22938	48	10	predicting	predict	VERB
brj-22938	48	11	bending	bend	VERB
brj-22938	48	12	strength	strength	NOUN
brj-22938	48	13	,	,	PUNCT
brj-22938	48	14	stiffness	stiffness	NOUN
brj-22938	48	15	,	,	PUNCT
brj-22938	48	16	and	and	CCONJ
brj-22938	48	17	density	density	NOUN
brj-22938	48	18	of	of	ADP
brj-22938	48	19	scots	scot	NOUN
brj-22938	48	20	pine	pine	NOUN
brj-22938	48	21	and	and	CCONJ
brj-22938	48	22	norway	norway	NOUN
brj-22938	48	23	spruce	spruce	NOUN
brj-22938	48	24	boards	board	NOUN
brj-22938	48	25	based	base	VERB
brj-22938	48	26	on	on	ADP
brj-22938	48	27	measurement	measurement	NOUN
brj-22938	48	28	data	datum	NOUN
brj-22938	48	29	from	from	ADP
brj-22938	48	30	log	log	NOUN
brj-22938	48	31	and	and	CCONJ
brj-22938	48	32	board	board	NOUN
brj-22938	48	33	scanning	scanning	NOUN
brj-22938	48	34	technologies	technology	NOUN
brj-22938	48	35	,	,	PUNCT
brj-22938	48	36	both	both	CCONJ
brj-22938	48	37	separate	separate	ADJ
brj-22938	48	38	and	and	CCONJ
brj-22938	48	39	combined	combined	ADJ
brj-22938	48	40	.	.	PUNCT
brj-22938	49	1	the	the	DET
brj-22938	49	2	latter	latter	ADJ
brj-22938	49	3	case	case	NOUN
brj-22938	49	4	corresponds	correspond	VERB
brj-22938	49	5	to	to	ADP
brj-22938	49	6	a	a	DET
brj-22938	49	7	situation	situation	NOUN
brj-22938	49	8	where	where	SCONJ
brj-22938	49	9	log	log	NOUN
brj-22938	49	10	data	data	NOUN
brj-22938	49	11	is	be	AUX
brj-22938	49	12	available	available	ADJ
brj-22938	49	13	at	at	ADP
brj-22938	49	14	the	the	DET
brj-22938	49	15	board	board	NOUN
brj-22938	49	16	scanning	scanning	NOUN
brj-22938	49	17	stage	stage	NOUN
brj-22938	49	18	,	,	PUNCT
brj-22938	49	19	using	use	VERB
brj-22938	49	20	real	real	ADJ
brj-22938	49	21	-	-	PUNCT
brj-22938	49	22	time	time	NOUN
brj-22938	49	23	fingerprint	fingerprint	NOUN
brj-22938	49	24	traceability	traceability	NOUN
brj-22938	49	25	within	within	ADP
brj-22938	49	26	the	the	DET
brj-22938	49	27	sawmill	sawmill	NOUN
brj-22938	49	28	.	.	PUNCT
brj-22938	50	1	a	a	DET
brj-22938	50	2	further	further	ADJ
brj-22938	50	3	objective	objective	NOUN
brj-22938	50	4	was	be	AUX
brj-22938	50	5	to	to	PART
brj-22938	50	6	investigate	investigate	VERB
brj-22938	50	7	whether	whether	SCONJ
brj-22938	50	8	pre	pre	ADJ
brj-22938	50	9	-	-	ADJ
brj-22938	50	10	sorting	sorting	ADJ
brj-22938	50	11	logs	log	NOUN
brj-22938	50	12	for	for	ADP
brj-22938	50	13	strength	strength	NOUN
brj-22938	50	14	grading	grade	VERB
brj-22938	50	15	can	can	AUX
brj-22938	50	16	be	be	AUX
brj-22938	50	17	done	do	VERB
brj-22938	50	18	using	use	VERB
brj-22938	50	19	either	either	CCONJ
brj-22938	50	20	3d	3d	NUM
brj-22938	50	21	data	datum	NOUN
brj-22938	50	22	alone	alone	ADV
brj-22938	50	23	,	,	PUNCT
brj-22938	50	24	or	or	CCONJ
brj-22938	50	25	3d	3d	NUM
brj-22938	50	26	data	datum	NOUN
brj-22938	50	27	augmented	augment	VERB
brj-22938	50	28	with	with	ADP
brj-22938	50	29	x	x	ADJ
brj-22938	50	30	-	-	NOUN
brj-22938	50	31	ray	ray	NOUN
brj-22938	50	32	data	datum	NOUN
brj-22938	50	33	,	,	PUNCT
brj-22938	50	34	for	for	ADP
brj-22938	50	35	both	both	DET
brj-22938	50	36	wood	wood	NOUN
brj-22938	50	37	species	specie	NOUN
brj-22938	50	38	.	.	PUNCT
brj-22938	51	1	experimental	experimental	ADJ
brj-22938	51	2	material	material	NOUN
brj-22938	51	3	and	and	CCONJ
brj-22938	51	4	data	datum	NOUN
brj-22938	51	5	collection	collection	NOUN
brj-22938	51	6	a	a	DET
brj-22938	51	7	total	total	NOUN
brj-22938	51	8	of	of	ADP
brj-22938	51	9	600	600	NUM
brj-22938	51	10	logs	log	NOUN
brj-22938	51	11	were	be	AUX
brj-22938	51	12	used	use	VERB
brj-22938	51	13	,	,	PUNCT
brj-22938	51	14	from	from	ADP
brj-22938	51	15	two	two	NUM
brj-22938	51	16	different	different	ADJ
brj-22938	51	17	species	specie	NOUN
brj-22938	51	18	,	,	PUNCT
brj-22938	51	19	scots	scot	NOUN
brj-22938	51	20	pine	pine	NOUN
brj-22938	51	21	and	and	CCONJ
brj-22938	51	22	norway	norway	NOUN
brj-22938	51	23	spruce	spruce	NOUN
brj-22938	51	24	.	.	PUNCT
brj-22938	52	1	they	they	PRON
brj-22938	52	2	were	be	AUX
brj-22938	52	3	collected	collect	VERB
brj-22938	52	4	at	at	ADP
brj-22938	52	5	the	the	DET
brj-22938	52	6	log	log	NOUN
brj-22938	52	7	yard	yard	NOUN
brj-22938	52	8	of	of	ADP
brj-22938	52	9	a	a	DET
brj-22938	52	10	sawmill	sawmill	NOUN
brj-22938	52	11	in	in	ADP
brj-22938	52	12	northern	northern	ADJ
brj-22938	52	13	sweden	sweden	PROPN
brj-22938	52	14	,	,	PUNCT
brj-22938	52	15	from	from	ADP
brj-22938	52	16	the	the	DET
brj-22938	52	17	sawmill	sawmill	NOUN
brj-22938	52	18	’s	’s	PART
brj-22938	52	19	normal	normal	ADJ
brj-22938	52	20	storage	storage	NOUN
brj-22938	52	21	of	of	ADP
brj-22938	52	22	logs	log	NOUN
brj-22938	52	23	for	for	ADP
brj-22938	52	24	production	production	NOUN
brj-22938	52	25	.	.	PUNCT
brj-22938	53	1	the	the	DET
brj-22938	53	2	logs	log	NOUN
brj-22938	53	3	were	be	AUX
brj-22938	53	4	categorized	categorize	VERB
brj-22938	53	5	as	as	ADP
brj-22938	53	6	butt	butt	NOUN
brj-22938	53	7	logs	log	NOUN
brj-22938	53	8	,	,	PUNCT
brj-22938	53	9	middle	middle	ADJ
brj-22938	53	10	logs	log	NOUN
brj-22938	53	11	,	,	PUNCT
brj-22938	53	12	and	and	CCONJ
brj-22938	53	13	top	top	ADJ
brj-22938	53	14	logs	log	NOUN
brj-22938	53	15	,	,	PUNCT
brj-22938	53	16	using	use	VERB
brj-22938	53	17	visual	visual	ADJ
brj-22938	53	18	assessment	assessment	NOUN
brj-22938	53	19	by	by	ADP
brj-22938	53	20	an	an	DET
brj-22938	53	21	expert	expert	NOUN
brj-22938	53	22	grader	grader	NOUN
brj-22938	53	23	,	,	PUNCT
brj-22938	53	24	and	and	CCONJ
brj-22938	53	25	100	100	NUM
brj-22938	53	26	logs	log	NOUN
brj-22938	53	27	from	from	ADP
brj-22938	53	28	each	each	DET
brj-22938	53	29	log	log	NOUN
brj-22938	53	30	type	type	NOUN
brj-22938	53	31	and	and	CCONJ
brj-22938	53	32	species	specie	NOUN
brj-22938	53	33	were	be	AUX
brj-22938	53	34	sampled	sample	VERB
brj-22938	53	35	.	.	PUNCT
brj-22938	54	1	the	the	DET
brj-22938	54	2	top	top	ADJ
brj-22938	54	3	diameter	diameter	NOUN
brj-22938	54	4	ranges	range	NOUN
brj-22938	54	5	were	be	AUX
brj-22938	54	6	155	155	NUM
brj-22938	54	7	to	to	PART
brj-22938	54	8	172	172	NUM
brj-22938	54	9	mm	mm	NOUN
brj-22938	54	10	for	for	ADP
brj-22938	54	11	scots	scot	NOUN
brj-22938	54	12	pine	pine	NOUN
brj-22938	54	13	and	and	CCONJ
brj-22938	54	14	169	169	NUM
brj-22938	54	15	to	to	PART
brj-22938	54	16	175	175	NUM
brj-22938	54	17	mm	mm	NOUN
brj-22938	54	18	for	for	ADP
brj-22938	54	19	norway	norway	PROPN
brj-22938	54	20	spruce	spruce	NOUN
brj-22938	54	21	.	.	PUNCT
brj-22938	55	1	apart	apart	ADV
brj-22938	55	2	from	from	ADP
brj-22938	55	3	this	this	PRON
brj-22938	55	4	,	,	PUNCT
brj-22938	55	5	no	no	DET
brj-22938	55	6	other	other	ADJ
brj-22938	55	7	selection	selection	NOUN
brj-22938	55	8	was	be	AUX
brj-22938	55	9	made	make	VERB
brj-22938	55	10	.	.	PUNCT
brj-22938	56	1	all	all	DET
brj-22938	56	2	logs	log	NOUN
brj-22938	56	3	were	be	AUX
brj-22938	56	4	marked	mark	VERB
brj-22938	56	5	with	with	ADP
brj-22938	56	6	color	color	NOUN
brj-22938	56	7	and	and	CCONJ
brj-22938	56	8	a	a	DET
brj-22938	56	9	number	number	NOUN
brj-22938	56	10	at	at	ADP
brj-22938	56	11	the	the	DET
brj-22938	56	12	butt	butt	NOUN
brj-22938	56	13	end	end	VERB
brj-22938	56	14	to	to	PART
brj-22938	56	15	ensure	ensure	VERB
brj-22938	56	16	full	full	ADJ
brj-22938	56	17	traceability	traceability	NOUN
brj-22938	56	18	,	,	PUNCT
brj-22938	56	19	as	as	SCONJ
brj-22938	56	20	shown	show	VERB
brj-22938	56	21	in	in	ADP
brj-22938	56	22	fig	fig	NOUN
brj-22938	56	23	.	.	PUNCT
brj-22938	57	1	1	1	X
brj-22938	57	2	.	.	PUNCT
brj-22938	57	3	the	the	DET
brj-22938	57	4	color	color	NOUN
brj-22938	57	5	and	and	CCONJ
brj-22938	57	6	number	number	NOUN
brj-22938	57	7	were	be	AUX
brj-22938	57	8	visible	visible	ADJ
brj-22938	57	9	also	also	ADV
brj-22938	57	10	on	on	ADP
brj-22938	57	11	the	the	DET
brj-22938	57	12	sawn	sawn	NOUN
brj-22938	57	13	timber	timber	NOUN
brj-22938	57	14	after	after	ADP
brj-22938	57	15	sawing	saw	VERB
brj-22938	57	16	.	.	PUNCT
brj-22938	58	1	fig	fig	NOUN
brj-22938	58	2	.	.	PUNCT
brj-22938	59	1	1	1	NUM
brj-22938	59	2	.	.	X
brj-22938	59	3	half	half	NOUN
brj-22938	59	4	of	of	ADP
brj-22938	59	5	the	the	DET
brj-22938	59	6	logs	log	NOUN
brj-22938	59	7	tested	test	VERB
brj-22938	59	8	(	(	PUNCT
brj-22938	59	9	scots	scot	NOUN
brj-22938	59	10	pine	pine	NOUN
brj-22938	59	11	)	)	PUNCT
brj-22938	59	12	,	,	PUNCT
brj-22938	59	13	colored	color	VERB
brj-22938	59	14	and	and	CCONJ
brj-22938	59	15	i	i	PROPN
brj-22938	59	16	d	d	PROPN
brj-22938	59	17	marked	mark	VERB
brj-22938	59	18	to	to	PART
brj-22938	59	19	ensure	ensure	VERB
brj-22938	59	20	full	full	ADJ
brj-22938	59	21	traceability	traceability	NOUN
brj-22938	59	22	through	through	ADP
brj-22938	59	23	the	the	DET
brj-22938	59	24	saw	saw	NOUN
brj-22938	59	25	line	line	NOUN
brj-22938	59	26	.	.	PUNCT
brj-22938	60	1	the	the	DET
brj-22938	60	2	logs	log	NOUN
brj-22938	60	3	were	be	AUX
brj-22938	60	4	transported	transport	VERB
brj-22938	60	5	to	to	ADP
brj-22938	60	6	another	another	DET
brj-22938	60	7	sawmill	sawmill	NOUN
brj-22938	60	8	around	around	ADV
brj-22938	60	9	230	230	NUM
brj-22938	60	10	km	km	NOUN
brj-22938	60	11	away	away	ADV
brj-22938	60	12	,	,	PUNCT
brj-22938	60	13	for	for	ADP
brj-22938	60	14	scanning	scanning	NOUN
brj-22938	60	15	.	.	PUNCT
brj-22938	61	1	they	they	PRON
brj-22938	61	2	were	be	AUX
brj-22938	61	3	scanned	scan	VERB
brj-22938	61	4	using	use	VERB
brj-22938	61	5	a	a	DET
brj-22938	61	6	log	log	NOUN
brj-22938	61	7	3d	3d	NUM
brj-22938	61	8	scanner	scanner	NOUN
brj-22938	61	9	(	(	PUNCT
brj-22938	61	10	sawco	sawco	NOUN
brj-22938	61	11	proscan	proscan	PROPN
brj-22938	61	12	,	,	PUNCT
brj-22938	61	13	nyköping	nyköping	NOUN
brj-22938	61	14	,	,	PUNCT
brj-22938	61	15	sweden	sweden	PROPN
brj-22938	61	16	)	)	PUNCT
brj-22938	61	17	,	,	PUNCT
brj-22938	61	18	measuring	measure	VERB
brj-22938	61	19	the	the	DET
brj-22938	61	20	outer	outer	ADJ
brj-22938	61	21	shape	shape	NOUN
brj-22938	61	22	of	of	ADP
brj-22938	61	23	the	the	DET
brj-22938	61	24	log	log	NOUN
brj-22938	61	25	,	,	PUNCT
brj-22938	61	26	and	and	CCONJ
brj-22938	61	27	a	a	DET
brj-22938	61	28	log	log	NOUN
brj-22938	61	29	x	x	NOUN
brj-22938	61	30	-	-	NOUN
brj-22938	61	31	ray	ray	NOUN
brj-22938	61	32	scanner	scanner	NOUN
brj-22938	61	33	(	(	PUNCT
brj-22938	61	34	remasawco	remasawco	NOUN
brj-22938	61	35	rs	rs	PROPN
brj-22938	61	36	-	-	PUNCT
brj-22938	61	37	xray	xray	ADJ
brj-22938	61	38	,	,	PUNCT
brj-22938	61	39	linköping	linköpe	VERB
brj-22938	61	40	,	,	PUNCT
brj-22938	61	41	sweden	sweden	PROPN
brj-22938	61	42	)	)	PUNCT
brj-22938	61	43	measuring	measure	VERB
brj-22938	61	44	inner	inner	ADJ
brj-22938	61	45	properties	property	NOUN
brj-22938	61	46	of	of	ADP
brj-22938	61	47	the	the	DET
brj-22938	61	48	log	log	NOUN
brj-22938	61	49	using	use	VERB
brj-22938	61	50	two	two	NUM
brj-22938	61	51	fixed	fix	VERB
brj-22938	61	52	x	x	NOUN
brj-22938	61	53	-	-	NOUN
brj-22938	61	54	ray	ray	NOUN
brj-22938	61	55	directions	direction	NOUN
brj-22938	61	56	.	.	PUNCT
brj-22938	62	1	the	the	DET
brj-22938	62	2	measurements	measurement	NOUN
brj-22938	62	3	were	be	AUX
brj-22938	62	4	used	use	VERB
brj-22938	62	5	to	to	PART
brj-22938	62	6	calculate	calculate	VERB
brj-22938	62	7	log	log	NOUN
brj-22938	62	8	properties	property	NOUN
brj-22938	62	9	such	such	ADJ
brj-22938	62	10	as	as	ADP
brj-22938	62	11	length	length	NOUN
brj-22938	62	12	,	,	PUNCT
brj-22938	62	13	various	various	ADJ
brj-22938	62	14	diameters	diameter	NOUN
brj-22938	62	15	along	along	ADP
brj-22938	62	16	the	the	DET
brj-22938	62	17	log	log	NOUN
brj-22938	62	18	,	,	PUNCT
brj-22938	62	19	taper	taper	NOUN
brj-22938	62	20	,	,	PUNCT
brj-22938	62	21	sweep	sweep	NOUN
brj-22938	62	22	,	,	PUNCT
brj-22938	62	23	ovality	ovality	NOUN
brj-22938	62	24	,	,	PUNCT
brj-22938	62	25	volume	volume	NOUN
brj-22938	62	26	,	,	PUNCT
brj-22938	62	27	knot	knot	NOUN
brj-22938	62	28	volume	volume	NOUN
brj-22938	62	29	,	,	PUNCT
brj-22938	62	30	heartwood	heartwood	NOUN
brj-22938	62	31	content	content	PROPN
brj-22938	62	32	,	,	PUNCT
brj-22938	62	33	density	density	NOUN
brj-22938	62	34	,	,	PUNCT
brj-22938	62	35	and	and	CCONJ
brj-22938	62	36	quality	quality	NOUN
brj-22938	62	37	grades	grade	NOUN
brj-22938	62	38	of	of	ADP
brj-22938	62	39	each	each	DET
brj-22938	62	40	log	log	NOUN
brj-22938	62	41	.	.	PUNCT
brj-22938	63	1	this	this	PRON
brj-22938	63	2	was	be	AUX
brj-22938	63	3	done	do	VERB
brj-22938	63	4	using	use	VERB
brj-22938	63	5	automatic	automatic	ADJ
brj-22938	63	6	image	image	NOUN
brj-22938	63	7	processing	processing	NOUN
brj-22938	63	8	algorithms	algorithm	NOUN
brj-22938	63	9	built	build	VERB
brj-22938	63	10	into	into	ADP
brj-22938	63	11	the	the	DET
brj-22938	63	12	commercial	commercial	ADJ
brj-22938	63	13	scanning	scanning	NOUN
brj-22938	63	14	programs	program	NOUN
brj-22938	63	15	(	(	PUNCT
brj-22938	63	16	3d	3d	NOUN
brj-22938	63	17	and	and	CCONJ
brj-22938	63	18	x	x	NOUN
brj-22938	63	19	-	-	NOUN
brj-22938	63	20	ray	ray	NOUN
brj-22938	63	21	,	,	PUNCT
brj-22938	63	22	respectively	respectively	ADV
brj-22938	63	23	)	)	PUNCT
brj-22938	63	24	.	.	PUNCT
brj-22938	64	1	the	the	DET
brj-22938	64	2	logs	log	NOUN
brj-22938	64	3	were	be	AUX
brj-22938	64	4	sawn	saw	VERB
brj-22938	64	5	into	into	ADP
brj-22938	64	6	boards	board	NOUN
brj-22938	64	7	,	,	PUNCT
brj-22938	64	8	with	with	ADP
brj-22938	64	9	two	two	NUM
brj-22938	64	10	centerpieces	centerpiece	NOUN
brj-22938	64	11	produced	produce	VERB
brj-22938	64	12	from	from	ADP
brj-22938	64	13	each	each	DET
brj-22938	64	14	log	log	NOUN
brj-22938	64	15	,	,	PUNCT
brj-22938	64	16	at	at	ADP
brj-22938	64	17	a	a	DET
brj-22938	64	18	nominal	nominal	ADJ
brj-22938	64	19	size	size	NOUN
brj-22938	64	20	of	of	ADP
brj-22938	64	21	50	50	NUM
brj-22938	64	22	×	×	NOUN
brj-22938	64	23	100	100	NUM
brj-22938	64	24	mm	mm	NOUN
brj-22938	64	25	thickness	thickness	NOUN
brj-22938	64	26	and	and	CCONJ
brj-22938	64	27	width	width	NOUN
brj-22938	64	28	.	.	PUNCT
brj-22938	65	1	sideboards	sideboard	NOUN
brj-22938	65	2	were	be	AUX
brj-22938	65	3	not	not	PART
brj-22938	65	4	used	use	VERB
brj-22938	65	5	in	in	ADP
brj-22938	65	6	this	this	DET
brj-22938	65	7	study	study	NOUN
brj-22938	65	8	.	.	PUNCT
brj-22938	66	1	the	the	DET
brj-22938	66	2	centerboards	centerboard	NOUN
brj-22938	66	3	were	be	AUX
brj-22938	66	4	dried	dry	VERB
brj-22938	66	5	to	to	ADP
brj-22938	66	6	a	a	DET
brj-22938	66	7	nominal	nominal	ADJ
brj-22938	66	8	moisture	moisture	NOUN
brj-22938	66	9	content	content	NOUN
brj-22938	66	10	of	of	ADP
brj-22938	66	11	12	12	NUM
brj-22938	66	12	%	%	NOUN
brj-22938	66	13	.	.	PUNCT
brj-22938	67	1	they	they	PRON
brj-22938	67	2	were	be	AUX
brj-22938	67	3	transported	transport	VERB
brj-22938	67	4	to	to	ADP
brj-22938	67	5	a	a	DET
brj-22938	67	6	third	third	ADJ
brj-22938	67	7	sawmill	sawmill	NOUN
brj-22938	67	8	in	in	ADP
brj-22938	67	9	southern	southern	ADJ
brj-22938	67	10	sweden	sweden	PROPN
brj-22938	67	11	where	where	SCONJ
brj-22938	67	12	they	they	PRON
brj-22938	67	13	were	be	AUX
brj-22938	67	14	scanned	scan	VERB
brj-22938	67	15	using	use	VERB
brj-22938	67	16	a	a	DET
brj-22938	67	17	board	board	NOUN
brj-22938	67	18	scanner	scanner	NOUN
brj-22938	67	19	(	(	PUNCT
brj-22938	67	20	remasawco	remasawco	NOUN
brj-22938	67	21	rs	rs	NOUN
brj-22938	67	22	-	-	PUNCT
brj-22938	67	23	boardscannerq	boardscannerq	VERB
brj-22938	67	24	,	,	PUNCT
brj-22938	67	25	linköping	linköpe	VERB
brj-22938	67	26	,	,	PUNCT
brj-22938	67	27	sweden	sweden	PROPN
brj-22938	67	28	)	)	PUNCT
brj-22938	67	29	with	with	ADP
brj-22938	67	30	rgb	rgb	PROPN
brj-22938	67	31	cameras	camera	NOUN
brj-22938	67	32	and	and	CCONJ
brj-22938	67	33	laser	laser	NOUN
brj-22938	67	34	triangulation	triangulation	NOUN
brj-22938	67	35	to	to	PART
brj-22938	67	36	measure	measure	VERB
brj-22938	67	37	shape	shape	NOUN
brj-22938	67	38	and	and	CCONJ
brj-22938	67	39	visual	visual	ADJ
brj-22938	67	40	features	feature	NOUN
brj-22938	67	41	on	on	ADP
brj-22938	67	42	the	the	DET
brj-22938	67	43	board	board	NOUN
brj-22938	67	44	surfaces	surface	NOUN
brj-22938	67	45	.	.	PUNCT
brj-22938	68	1	features	feature	NOUN
brj-22938	68	2	such	such	ADJ
brj-22938	68	3	as	as	ADP
brj-22938	68	4	knots	knot	NOUN
brj-22938	68	5	,	,	PUNCT
brj-22938	68	6	cracks	crack	NOUN
brj-22938	68	7	,	,	PUNCT
brj-22938	68	8	rot	rot	NOUN
brj-22938	68	9	,	,	PUNCT
brj-22938	68	10	wane	wane	NOUN
brj-22938	68	11	,	,	PUNCT
brj-22938	68	12	bark	bark	NOUN
brj-22938	68	13	,	,	PUNCT
brj-22938	68	14	resin	resin	NOUN
brj-22938	68	15	wood	wood	NOUN
brj-22938	68	16	,	,	PUNCT
brj-22938	68	17	pitch	pitch	NOUN
brj-22938	68	18	pockets	pocket	NOUN
brj-22938	68	19	and	and	CCONJ
brj-22938	68	20	pith	pith	NOUN
brj-22938	68	21	were	be	AUX
brj-22938	68	22	detected	detect	VERB
brj-22938	68	23	and	and	CCONJ
brj-22938	68	24	peer	peer	NOUN
brj-22938	68	25	-	-	PUNCT
brj-22938	68	26	reviewed	review	VERB
brj-22938	68	27	article	article	NOUN
brj-22938	68	28	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	68	29	fredriksson	fredriksson	NOUN
brj-22938	68	30	(	(	PUNCT
brj-22938	68	31	2024	2024	NUM
brj-22938	68	32	)	)	PUNCT
brj-22938	68	33	.	.	PUNCT
brj-22938	69	1	“	"	PUNCT
brj-22938	69	2	board	board	NOUN
brj-22938	69	3	strength	strength	NOUN
brj-22938	69	4	&	&	CCONJ
brj-22938	69	5	log	log	PROPN
brj-22938	69	6	data	data	PROPN
brj-22938	69	7	,	,	PUNCT
brj-22938	69	8	”	"	PUNCT
brj-22938	69	9	bioresources	bioresource	NOUN
brj-22938	69	10	19(1	19(1	NUM
brj-22938	69	11	)	)	PUNCT
brj-22938	69	12	,	,	PUNCT
brj-22938	69	13	1777	1777	NUM
brj-22938	69	14	-	-	SYM
brj-22938	69	15	1788	1788	NUM
brj-22938	69	16	.	.	PUNCT
brj-22938	70	1	1780	1780	NUM
brj-22938	70	2	measured	measure	VERB
brj-22938	70	3	using	use	VERB
brj-22938	70	4	automatic	automatic	ADJ
brj-22938	70	5	image	image	NOUN
brj-22938	70	6	processing	processing	NOUN
brj-22938	70	7	algorithms	algorithm	NOUN
brj-22938	70	8	built	build	VERB
brj-22938	70	9	into	into	ADP
brj-22938	70	10	the	the	DET
brj-22938	70	11	board	board	NOUN
brj-22938	70	12	scanning	scan	VERB
brj-22938	70	13	system	system	NOUN
brj-22938	70	14	.	.	PUNCT
brj-22938	71	1	due	due	ADP
brj-22938	71	2	to	to	ADP
brj-22938	71	3	drying	dry	VERB
brj-22938	71	4	time	time	NOUN
brj-22938	71	5	,	,	PUNCT
brj-22938	71	6	transportation	transportation	NOUN
brj-22938	71	7	,	,	PUNCT
brj-22938	71	8	and	and	CCONJ
brj-22938	71	9	various	various	ADJ
brj-22938	71	10	tests	test	NOUN
brj-22938	71	11	being	be	AUX
brj-22938	71	12	made	make	VERB
brj-22938	71	13	,	,	PUNCT
brj-22938	71	14	the	the	DET
brj-22938	71	15	time	time	NOUN
brj-22938	71	16	between	between	ADP
brj-22938	71	17	log	log	NOUN
brj-22938	71	18	scanning	scanning	NOUN
brj-22938	71	19	and	and	CCONJ
brj-22938	71	20	board	board	NOUN
brj-22938	71	21	scanning	scanning	NOUN
brj-22938	71	22	was	be	AUX
brj-22938	71	23	approximately	approximately	ADV
brj-22938	71	24	two	two	NUM
brj-22938	71	25	months	month	NOUN
brj-22938	71	26	.	.	PUNCT
brj-22938	72	1	finally	finally	ADV
brj-22938	72	2	,	,	PUNCT
brj-22938	72	3	destructive	destructive	ADJ
brj-22938	72	4	testing	testing	NOUN
brj-22938	72	5	was	be	AUX
brj-22938	72	6	made	make	VERB
brj-22938	72	7	in	in	ADP
brj-22938	72	8	edgewise	edgewise	NOUN
brj-22938	72	9	bending	bend	VERB
brj-22938	72	10	according	accord	VERB
brj-22938	72	11	to	to	ADP
brj-22938	72	12	the	the	DET
brj-22938	72	13	standard	standard	NOUN
brj-22938	72	14	en	en	ADP
brj-22938	72	15	408	408	NUM
brj-22938	72	16	(	(	PUNCT
brj-22938	72	17	2012	2012	NUM
brj-22938	72	18	)	)	PUNCT
brj-22938	72	19	.	.	PUNCT
brj-22938	73	1	the	the	DET
brj-22938	73	2	average	average	ADJ
brj-22938	73	3	oven	oven	VERB
brj-22938	73	4	-	-	PUNCT
brj-22938	73	5	dry	dry	ADJ
brj-22938	73	6	moisture	moisture	NOUN
brj-22938	73	7	content	content	NOUN
brj-22938	73	8	was	be	AUX
brj-22938	73	9	11.3	11.3	NUM
brj-22938	73	10	%	%	NOUN
brj-22938	73	11	for	for	ADP
brj-22938	73	12	the	the	DET
brj-22938	73	13	scots	scot	NOUN
brj-22938	73	14	pine	pine	NOUN
brj-22938	73	15	samples	sample	NOUN
brj-22938	73	16	and	and	CCONJ
brj-22938	73	17	11.5	11.5	NUM
brj-22938	73	18	%	%	NOUN
brj-22938	73	19	for	for	ADP
brj-22938	73	20	the	the	DET
brj-22938	73	21	norway	norway	PROPN
brj-22938	73	22	spruce	spruce	NOUN
brj-22938	73	23	samples	sample	NOUN
brj-22938	73	24	.	.	PUNCT
brj-22938	74	1	no	no	DET
brj-22938	74	2	sample	sample	NOUN
brj-22938	74	3	had	have	VERB
brj-22938	74	4	below	below	ADP
brj-22938	74	5	10.0	10.0	NUM
brj-22938	74	6	%	%	NOUN
brj-22938	74	7	or	or	CCONJ
brj-22938	74	8	above	above	ADP
brj-22938	74	9	14.0	14.0	NUM
brj-22938	74	10	%	%	NOUN
brj-22938	74	11	moisture	moisture	NOUN
brj-22938	74	12	content	content	NOUN
brj-22938	74	13	.	.	PUNCT
brj-22938	75	1	bending	bend	VERB
brj-22938	75	2	strength	strength	NOUN
brj-22938	75	3	(	(	PUNCT
brj-22938	75	4	fm	fm	NOUN
brj-22938	75	5	)	)	PUNCT
brj-22938	75	6	and	and	CCONJ
brj-22938	75	7	global	global	ADJ
brj-22938	75	8	modulus	modulus	NOUN
brj-22938	75	9	of	of	ADP
brj-22938	75	10	elasticity	elasticity	NOUN
brj-22938	75	11	moe	moe	NOUN
brj-22938	75	12	(	(	PUNCT
brj-22938	75	13	em	em	NOUN
brj-22938	75	14	,	,	PUNCT
brj-22938	75	15	g	g	NOUN
brj-22938	75	16	)	)	PUNCT
brj-22938	75	17	were	be	AUX
brj-22938	75	18	derived	derive	VERB
brj-22938	75	19	for	for	ADP
brj-22938	75	20	each	each	DET
brj-22938	75	21	board	board	NOUN
brj-22938	75	22	according	accord	VERB
brj-22938	75	23	to	to	ADP
brj-22938	75	24	the	the	DET
brj-22938	75	25	standard	standard	NOUN
brj-22938	75	26	en	en	ADP
brj-22938	75	27	384	384	NUM
brj-22938	75	28	(	(	PUNCT
brj-22938	75	29	2018	2018	NUM
brj-22938	75	30	)	)	PUNCT
brj-22938	75	31	.	.	PUNCT
brj-22938	76	1	density	density	NOUN
brj-22938	76	2	was	be	AUX
brj-22938	76	3	measured	measure	VERB
brj-22938	76	4	by	by	ADP
brj-22938	76	5	removing	remove	VERB
brj-22938	76	6	a	a	DET
brj-22938	76	7	cross	cross	NOUN
brj-22938	76	8	section	section	NOUN
brj-22938	76	9	sample	sample	NOUN
brj-22938	76	10	as	as	ADV
brj-22938	76	11	close	close	ADV
brj-22938	76	12	to	to	ADP
brj-22938	76	13	the	the	DET
brj-22938	76	14	failure	failure	NOUN
brj-22938	76	15	as	as	ADP
brj-22938	76	16	possible	possible	ADJ
brj-22938	76	17	.	.	PUNCT
brj-22938	77	1	the	the	DET
brj-22938	77	2	sample	sample	NOUN
brj-22938	77	3	was	be	AUX
brj-22938	77	4	oven	oven	AUX
brj-22938	77	5	dried	dry	VERB
brj-22938	77	6	to	to	ADP
brj-22938	77	7	zero	zero	NUM
brj-22938	77	8	moisture	moisture	NOUN
brj-22938	77	9	content	content	NOUN
brj-22938	77	10	and	and	CCONJ
brj-22938	77	11	the	the	DET
brj-22938	77	12	density	density	NOUN
brj-22938	77	13	at	at	ADP
brj-22938	77	14	testing	testing	NOUN
brj-22938	77	15	time	time	NOUN
brj-22938	77	16	and	and	CCONJ
brj-22938	77	17	nominal	nominal	ADJ
brj-22938	77	18	density	density	NOUN
brj-22938	77	19	at	at	ADP
brj-22938	77	20	12	12	NUM
brj-22938	77	21	%	%	NOUN
brj-22938	77	22	moisture	moisture	NOUN
brj-22938	77	23	content	content	NOUN
brj-22938	77	24	were	be	AUX
brj-22938	77	25	calculated	calculate	VERB
brj-22938	77	26	for	for	ADP
brj-22938	77	27	each	each	DET
brj-22938	77	28	board	board	NOUN
brj-22938	77	29	.	.	PUNCT
brj-22938	78	1	because	because	SCONJ
brj-22938	78	2	each	each	DET
brj-22938	78	3	log	log	NOUN
brj-22938	78	4	was	be	AUX
brj-22938	78	5	sawn	saw	VERB
brj-22938	78	6	into	into	ADP
brj-22938	78	7	two	two	NUM
brj-22938	78	8	centerpieces	centerpiece	NOUN
brj-22938	78	9	,	,	PUNCT
brj-22938	78	10	and	and	CCONJ
brj-22938	78	11	due	due	ADP
brj-22938	78	12	to	to	ADP
brj-22938	78	13	breakages	breakage	NOUN
brj-22938	78	14	and	and	CCONJ
brj-22938	78	15	other	other	ADJ
brj-22938	78	16	lost	lose	VERB
brj-22938	78	17	material	material	NOUN
brj-22938	78	18	during	during	ADP
brj-22938	78	19	transportation	transportation	NOUN
brj-22938	78	20	and	and	CCONJ
brj-22938	78	21	handling	handling	NOUN
brj-22938	78	22	,	,	PUNCT
brj-22938	78	23	286	286	NUM
brj-22938	78	24	pine	pine	NOUN
brj-22938	78	25	boards	board	NOUN
brj-22938	78	26	from	from	ADP
brj-22938	78	27	141	141	NUM
brj-22938	78	28	logs	log	NOUN
brj-22938	78	29	and	and	CCONJ
brj-22938	78	30	297	297	NUM
brj-22938	78	31	spruce	spruce	NOUN
brj-22938	78	32	boards	board	NOUN
brj-22938	78	33	from	from	ADP
brj-22938	78	34	148	148	NUM
brj-22938	78	35	logs	log	NOUN
brj-22938	78	36	were	be	AUX
brj-22938	78	37	used	use	VERB
brj-22938	78	38	.	.	PUNCT
brj-22938	79	1	note	note	VERB
brj-22938	79	2	that	that	SCONJ
brj-22938	79	3	in	in	ADP
brj-22938	79	4	some	some	DET
brj-22938	79	5	cases	case	NOUN
brj-22938	79	6	only	only	ADV
brj-22938	79	7	one	one	NUM
brj-22938	79	8	board	board	NOUN
brj-22938	79	9	of	of	ADP
brj-22938	79	10	the	the	DET
brj-22938	79	11	two	two	NUM
brj-22938	79	12	from	from	ADP
brj-22938	79	13	an	an	DET
brj-22938	79	14	individual	individual	ADJ
brj-22938	79	15	log	log	NOUN
brj-22938	79	16	was	be	AUX
brj-22938	79	17	lost	lose	VERB
brj-22938	79	18	.	.	PUNCT
brj-22938	80	1	data	datum	NOUN
brj-22938	80	2	processing	processing	NOUN
brj-22938	80	3	and	and	CCONJ
brj-22938	80	4	modelling	model	VERB
brj-22938	80	5	multivariate	multivariate	NOUN
brj-22938	80	6	partial	partial	ADJ
brj-22938	80	7	least	least	ADJ
brj-22938	80	8	squares	square	NOUN
brj-22938	80	9	(	(	PUNCT
brj-22938	80	10	pls	pls	INTJ
brj-22938	80	11	)	)	PUNCT
brj-22938	80	12	statistical	statistical	ADJ
brj-22938	80	13	models	model	NOUN
brj-22938	80	14	(	(	PUNCT
brj-22938	80	15	wold	wold	X
brj-22938	80	16	et	et	PROPN
brj-22938	80	17	al	al	PROPN
brj-22938	80	18	.	.	PROPN
brj-22938	80	19	2001	2001	NUM
brj-22938	80	20	)	)	PUNCT
brj-22938	80	21	were	be	AUX
brj-22938	80	22	developed	develop	VERB
brj-22938	80	23	with	with	ADP
brj-22938	80	24	the	the	DET
brj-22938	80	25	aim	aim	NOUN
brj-22938	80	26	of	of	ADP
brj-22938	80	27	testing	test	VERB
brj-22938	80	28	three	three	NUM
brj-22938	80	29	different	different	ADJ
brj-22938	80	30	grading	grade	VERB
brj-22938	80	31	scenarios	scenario	NOUN
brj-22938	80	32	:	:	PUNCT
brj-22938	80	33	log	log	NOUN
brj-22938	80	34	grading	grading	NOUN
brj-22938	80	35	,	,	PUNCT
brj-22938	80	36	board	board	NOUN
brj-22938	80	37	grading	grading	NOUN
brj-22938	80	38	,	,	PUNCT
brj-22938	80	39	and	and	CCONJ
brj-22938	80	40	integrated	integrated	ADJ
brj-22938	80	41	grading	grading	NOUN
brj-22938	80	42	,	,	PUNCT
brj-22938	80	43	using	use	VERB
brj-22938	80	44	both	both	CCONJ
brj-22938	80	45	log	log	NOUN
brj-22938	80	46	and	and	CCONJ
brj-22938	80	47	board	board	NOUN
brj-22938	80	48	data	datum	NOUN
brj-22938	80	49	.	.	PUNCT
brj-22938	81	1	log	log	NOUN
brj-22938	81	2	grading	grade	VERB
brj-22938	81	3	was	be	AUX
brj-22938	81	4	tested	test	VERB
brj-22938	81	5	using	use	VERB
brj-22938	81	6	two	two	NUM
brj-22938	81	7	different	different	ADJ
brj-22938	81	8	setups	setup	NOUN
brj-22938	81	9	of	of	ADP
brj-22938	81	10	equipment	equipment	NOUN
brj-22938	81	11	:	:	PUNCT
brj-22938	81	12	solely	solely	ADV
brj-22938	81	13	data	datum	NOUN
brj-22938	81	14	from	from	ADP
brj-22938	81	15	the	the	DET
brj-22938	81	16	3d	3d	NUM
brj-22938	81	17	optical	optical	ADJ
brj-22938	81	18	scanner	scanner	NOUN
brj-22938	81	19	;	;	PUNCT
brj-22938	81	20	and	and	CCONJ
brj-22938	81	21	3d	3d	NUM
brj-22938	81	22	data	datum	NOUN
brj-22938	81	23	combined	combine	VERB
brj-22938	81	24	with	with	ADP
brj-22938	81	25	data	datum	NOUN
brj-22938	81	26	from	from	ADP
brj-22938	81	27	the	the	DET
brj-22938	81	28	x	x	NOUN
brj-22938	81	29	-	-	NOUN
brj-22938	81	30	ray	ray	NOUN
brj-22938	81	31	log	log	NOUN
brj-22938	81	32	scanner	scanner	NOUN
brj-22938	81	33	.	.	PUNCT
brj-22938	82	1	the	the	DET
brj-22938	82	2	reason	reason	NOUN
brj-22938	82	3	for	for	ADP
brj-22938	82	4	not	not	PART
brj-22938	82	5	investigating	investigate	VERB
brj-22938	82	6	xray	xray	NOUN
brj-22938	82	7	alone	alone	ADV
brj-22938	82	8	was	be	AUX
brj-22938	82	9	that	that	SCONJ
brj-22938	82	10	it	it	PRON
brj-22938	82	11	is	be	AUX
brj-22938	82	12	seldom	seldom	ADV
brj-22938	82	13	used	use	VERB
brj-22938	82	14	alone	alone	ADV
brj-22938	82	15	in	in	ADP
brj-22938	82	16	sawmill	sawmill	NOUN
brj-22938	82	17	log	log	NOUN
brj-22938	82	18	sorting	sorting	NOUN
brj-22938	82	19	stations	station	NOUN
brj-22938	82	20	.	.	PUNCT
brj-22938	83	1	thus	thus	ADV
brj-22938	83	2	,	,	PUNCT
brj-22938	83	3	in	in	ADP
brj-22938	83	4	total	total	ADJ
brj-22938	83	5	four	four	NUM
brj-22938	83	6	grading	grade	VERB
brj-22938	83	7	scenarios	scenario	NOUN
brj-22938	83	8	were	be	AUX
brj-22938	83	9	investigated	investigate	VERB
brj-22938	83	10	,	,	PUNCT
brj-22938	83	11	as	as	SCONJ
brj-22938	83	12	shown	show	VERB
brj-22938	83	13	in	in	ADP
brj-22938	83	14	table	table	NOUN
brj-22938	83	15	1	1	NUM
brj-22938	83	16	.	.	PUNCT
brj-22938	84	1	these	these	PRON
brj-22938	84	2	were	be	AUX
brj-22938	84	3	based	base	VERB
brj-22938	84	4	on	on	ADP
brj-22938	84	5	in	in	ADP
brj-22938	84	6	total	total	ADJ
brj-22938	84	7	three	three	NUM
brj-22938	84	8	scanning	scanning	NOUN
brj-22938	84	9	systems	system	NOUN
brj-22938	84	10	,	,	PUNCT
brj-22938	84	11	of	of	ADP
brj-22938	84	12	which	which	PRON
brj-22938	84	13	all	all	DET
brj-22938	84	14	three	three	NUM
brj-22938	84	15	are	be	AUX
brj-22938	84	16	combined	combine	VERB
brj-22938	84	17	in	in	ADP
brj-22938	84	18	the	the	DET
brj-22938	84	19	bs3dx	bs3dx	NUM
brj-22938	84	20	scenario	scenario	NOUN
brj-22938	84	21	.	.	PUNCT
brj-22938	85	1	the	the	DET
brj-22938	85	2	bs	bs	PROPN
brj-22938	85	3	scenario	scenario	NOUN
brj-22938	85	4	represents	represent	VERB
brj-22938	85	5	how	how	SCONJ
brj-22938	85	6	grading	grading	NOUN
brj-22938	85	7	is	be	AUX
brj-22938	85	8	done	do	VERB
brj-22938	85	9	today	today	NOUN
brj-22938	85	10	.	.	PUNCT
brj-22938	86	1	table	table	NOUN
brj-22938	86	2	1	1	NUM
brj-22938	86	3	.	.	PUNCT
brj-22938	87	1	grading	grade	VERB
brj-22938	87	2	scenarios	scenario	NOUN
brj-22938	87	3	scenario	scenario	NOUN
brj-22938	87	4	data	datum	NOUN
brj-22938	87	5	from	from	ADP
brj-22938	87	6	system(s	system(s	NOUN
brj-22938	87	7	)	)	PUNCT
brj-22938	87	8	prediction	prediction	NOUN
brj-22938	87	9	on	on	ADP
brj-22938	87	10	grading	grade	VERB
brj-22938	87	11	type	type	NOUN
brj-22938	87	12	3d	3d	PROPN
brj-22938	87	13	3d	3d	PROPN
brj-22938	87	14	logs	log	NOUN
brj-22938	87	15	(	(	PUNCT
brj-22938	87	16	average	average	ADJ
brj-22938	87	17	strength	strength	NOUN
brj-22938	87	18	)	)	PUNCT
brj-22938	87	19	log	log	VERB
brj-22938	87	20	3dx	3dx	ADJ
brj-22938	87	21	3d	3d	NOUN
brj-22938	88	1	+	+	CCONJ
brj-22938	88	2	x	x	X
brj-22938	88	3	-	-	NOUN
brj-22938	88	4	ray	ray	NOUN
brj-22938	88	5	logs	log	NOUN
brj-22938	88	6	(	(	PUNCT
brj-22938	88	7	average	average	ADJ
brj-22938	88	8	strength	strength	NOUN
brj-22938	88	9	)	)	PUNCT
brj-22938	88	10	log	log	VERB
brj-22938	88	11	bs	bs	PROPN
brj-22938	88	12	boardscanner	boardscanner	NOUN
brj-22938	88	13	boards	board	NOUN
brj-22938	88	14	board	board	VERB
brj-22938	88	15	bs3dx	bs3dx	DET
brj-22938	88	16	3d	3d	NOUN
brj-22938	89	1	+	+	CCONJ
brj-22938	89	2	x	x	X
brj-22938	89	3	-	-	NOUN
brj-22938	89	4	ray	ray	NOUN
brj-22938	89	5	+	+	NUM
brj-22938	89	6	boardscanner	boardscanner	NOUN
brj-22938	89	7	boards	board	NOUN
brj-22938	89	8	integrated	integrate	VERB
brj-22938	89	9	3d	3d	NOUN
brj-22938	89	10	=	=	SYM
brj-22938	89	11	log	log	NOUN
brj-22938	89	12	grading	grade	VERB
brj-22938	89	13	using	use	VERB
brj-22938	89	14	only	only	ADV
brj-22938	89	15	3d	3d	NUM
brj-22938	89	16	data	datum	NOUN
brj-22938	89	17	of	of	ADP
brj-22938	89	18	logs	log	NOUN
brj-22938	89	19	,	,	PUNCT
brj-22938	89	20	3dx	3dx	NOUN
brj-22938	89	21	=	=	X
brj-22938	89	22	log	log	NOUN
brj-22938	89	23	grading	grade	VERB
brj-22938	89	24	using	use	VERB
brj-22938	89	25	3d	3d	NOUN
brj-22938	89	26	and	and	CCONJ
brj-22938	89	27	x	x	NOUN
brj-22938	89	28	-	-	NOUN
brj-22938	89	29	ray	ray	NOUN
brj-22938	89	30	data	datum	NOUN
brj-22938	89	31	of	of	ADP
brj-22938	89	32	logs	log	NOUN
brj-22938	89	33	,	,	PUNCT
brj-22938	89	34	bs	bs	PROPN
brj-22938	89	35	=	=	PUNCT
brj-22938	89	36	board	board	NOUN
brj-22938	89	37	grading	grade	VERB
brj-22938	89	38	using	use	VERB
brj-22938	89	39	data	datum	NOUN
brj-22938	89	40	from	from	ADP
brj-22938	89	41	a	a	DET
brj-22938	89	42	camera	camera	NOUN
brj-22938	89	43	-	-	PUNCT
brj-22938	89	44	based	base	VERB
brj-22938	89	45	board	board	NOUN
brj-22938	89	46	scanning	scanning	NOUN
brj-22938	89	47	system	system	NOUN
brj-22938	89	48	,	,	PUNCT
brj-22938	89	49	bs3dx	bs3dx	NOUN
brj-22938	89	50	=	=	NUM
brj-22938	89	51	combining	combine	VERB
brj-22938	89	52	all	all	DET
brj-22938	89	53	systems	system	NOUN
brj-22938	89	54	together	together	ADV
brj-22938	89	55	using	use	VERB
brj-22938	89	56	traceability	traceability	NOUN
brj-22938	89	57	.	.	PUNCT
brj-22938	90	1	the	the	DET
brj-22938	90	2	aim	aim	NOUN
brj-22938	90	3	of	of	ADP
brj-22938	90	4	each	each	DET
brj-22938	90	5	model	model	NOUN
brj-22938	90	6	was	be	AUX
brj-22938	90	7	to	to	PART
brj-22938	90	8	predict	predict	VERB
brj-22938	90	9	the	the	DET
brj-22938	90	10	bending	bend	VERB
brj-22938	90	11	strength	strength	NOUN
brj-22938	90	12	(	(	PUNCT
brj-22938	90	13	dependent	dependent	ADJ
brj-22938	90	14	variable	variable	NOUN
brj-22938	90	15	)	)	PUNCT
brj-22938	90	16	using	use	VERB
brj-22938	90	17	the	the	DET
brj-22938	90	18	available	available	ADJ
brj-22938	90	19	log	log	NOUN
brj-22938	90	20	and/or	and/or	CCONJ
brj-22938	90	21	board	board	NOUN
brj-22938	90	22	measurement	measurement	NOUN
brj-22938	90	23	data	datum	NOUN
brj-22938	90	24	(	(	PUNCT
brj-22938	90	25	predictor	predictor	NOUN
brj-22938	90	26	variables	variable	NOUN
brj-22938	90	27	)	)	PUNCT
brj-22938	90	28	.	.	PUNCT
brj-22938	91	1	the	the	DET
brj-22938	91	2	features	feature	NOUN
brj-22938	91	3	forming	form	VERB
brj-22938	91	4	the	the	DET
brj-22938	91	5	basis	basis	NOUN
brj-22938	91	6	of	of	ADP
brj-22938	91	7	predictor	predictor	NOUN
brj-22938	91	8	variables	variable	NOUN
brj-22938	91	9	are	be	AUX
brj-22938	91	10	described	describe	VERB
brj-22938	91	11	in	in	ADP
brj-22938	91	12	brief	brief	ADJ
brj-22938	91	13	form	form	NOUN
brj-22938	91	14	in	in	ADP
brj-22938	91	15	table	table	NOUN
brj-22938	91	16	2	2	NUM
brj-22938	91	17	.	.	PUNCT
brj-22938	91	18	table	table	NOUN
brj-22938	91	19	2	2	NUM
brj-22938	91	20	.	.	PUNCT
brj-22938	91	21	example	example	NOUN
brj-22938	91	22	log	log	NOUN
brj-22938	91	23	and	and	CCONJ
brj-22938	91	24	board	board	NOUN
brj-22938	91	25	features	feature	VERB
brj-22938	91	26	forming	form	VERB
brj-22938	91	27	predictor	predictor	NOUN
brj-22938	91	28	variables	variable	NOUN
brj-22938	91	29	in	in	ADP
brj-22938	91	30	the	the	DET
brj-22938	91	31	models	model	NOUN
brj-22938	91	32	scenario	scenario	PROPN
brj-22938	91	33	example	example	NOUN
brj-22938	91	34	features	feature	VERB
brj-22938	91	35	3d	3d	PROPN
brj-22938	91	36	taper	taper	NOUN
brj-22938	91	37	,	,	PUNCT
brj-22938	91	38	ovality	ovality	NOUN
brj-22938	91	39	,	,	PUNCT
brj-22938	91	40	diameter	diameter	NOUN
brj-22938	91	41	,	,	PUNCT
brj-22938	91	42	length	length	NOUN
brj-22938	91	43	,	,	PUNCT
brj-22938	91	44	sweep	sweep	VERB
brj-22938	91	45	3dx	3dx	ADJ
brj-22938	91	46	3d	3d	NOUN
brj-22938	91	47	combined	combine	VERB
brj-22938	91	48	with	with	ADP
brj-22938	91	49	density	density	NOUN
brj-22938	91	50	,	,	PUNCT
brj-22938	91	51	log	log	NOUN
brj-22938	91	52	type	type	NOUN
brj-22938	91	53	,	,	PUNCT
brj-22938	91	54	knot	knot	NOUN
brj-22938	91	55	volume	volume	NOUN
brj-22938	91	56	,	,	PUNCT
brj-22938	91	57	quality	quality	NOUN
brj-22938	91	58	bs	bs	NOUN
brj-22938	91	59	knots	knot	NOUN
brj-22938	91	60	,	,	PUNCT
brj-22938	91	61	cracks	crack	NOUN
brj-22938	91	62	,	,	PUNCT
brj-22938	91	63	wane	wane	NOUN
brj-22938	91	64	,	,	PUNCT
brj-22938	91	65	holes	hole	NOUN
brj-22938	91	66	,	,	PUNCT
brj-22938	91	67	pith	pith	NOUN
brj-22938	92	1	bs3dx	bs3dx	NUM
brj-22938	92	2	bs	bs	NOUN
brj-22938	92	3	+	+	CCONJ
brj-22938	92	4	3dx	3dx	ADJ
brj-22938	92	5	combined	combined	ADJ
brj-22938	92	6	peer	peer	NOUN
brj-22938	92	7	-	-	PUNCT
brj-22938	92	8	reviewed	review	VERB
brj-22938	92	9	article	article	NOUN
brj-22938	92	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	92	11	fredriksson	fredriksson	NOUN
brj-22938	92	12	(	(	PUNCT
brj-22938	92	13	2024	2024	NUM
brj-22938	92	14	)	)	PUNCT
brj-22938	92	15	.	.	PUNCT
brj-22938	93	1	“	"	PUNCT
brj-22938	93	2	board	board	NOUN
brj-22938	93	3	strength	strength	NOUN
brj-22938	93	4	&	&	CCONJ
brj-22938	93	5	log	log	PROPN
brj-22938	93	6	data	data	PROPN
brj-22938	93	7	,	,	PUNCT
brj-22938	93	8	”	"	PUNCT
brj-22938	93	9	bioresources	bioresource	NOUN
brj-22938	93	10	19(1	19(1	NUM
brj-22938	93	11	)	)	PUNCT
brj-22938	93	12	,	,	PUNCT
brj-22938	93	13	1777	1777	NUM
brj-22938	93	14	-	-	SYM
brj-22938	93	15	1788	1788	NUM
brj-22938	93	16	.	.	PUNCT
brj-22938	93	17	1781	1781	NUM
brj-22938	93	18	because	because	SCONJ
brj-22938	93	19	several	several	ADJ
brj-22938	93	20	thousands	thousand	NOUN
brj-22938	93	21	of	of	ADP
brj-22938	93	22	variables	variable	NOUN
brj-22938	93	23	were	be	AUX
brj-22938	93	24	used	use	VERB
brj-22938	93	25	,	,	PUNCT
brj-22938	93	26	they	they	PRON
brj-22938	93	27	can	can	AUX
brj-22938	93	28	not	not	PART
brj-22938	93	29	be	be	AUX
brj-22938	93	30	described	describe	VERB
brj-22938	93	31	in	in	ADP
brj-22938	93	32	their	their	PRON
brj-22938	93	33	full	full	ADJ
brj-22938	93	34	form	form	NOUN
brj-22938	93	35	here	here	ADV
brj-22938	93	36	.	.	PUNCT
brj-22938	94	1	calculations	calculation	NOUN
brj-22938	94	2	of	of	ADP
brj-22938	94	3	variables	variable	NOUN
brj-22938	94	4	are	be	AUX
brj-22938	94	5	further	far	ADV
brj-22938	94	6	described	describe	VERB
brj-22938	94	7	in	in	ADP
brj-22938	94	8	the	the	DET
brj-22938	94	9	coming	come	VERB
brj-22938	94	10	sections	section	NOUN
brj-22938	94	11	.	.	PUNCT
brj-22938	95	1	before	before	ADP
brj-22938	95	2	developing	develop	VERB
brj-22938	95	3	the	the	DET
brj-22938	95	4	models	model	NOUN
brj-22938	95	5	,	,	PUNCT
brj-22938	95	6	the	the	DET
brj-22938	95	7	data	datum	NOUN
brj-22938	95	8	was	be	AUX
brj-22938	95	9	pre	pre	VERB
brj-22938	95	10	-	-	VERB
brj-22938	95	11	processed	process	VERB
brj-22938	95	12	in	in	ADP
brj-22938	95	13	different	different	ADJ
brj-22938	95	14	ways	way	NOUN
brj-22938	95	15	.	.	PUNCT
brj-22938	96	1	pre	pre	ADJ
brj-22938	96	2	-	-	ADJ
brj-22938	96	3	processing	processing	NOUN
brj-22938	96	4	of	of	ADP
brj-22938	96	5	boardscanner	boardscanner	PROPN
brj-22938	96	6	data	data	PROPN
brj-22938	96	7	data	datum	NOUN
brj-22938	96	8	received	receive	VERB
brj-22938	96	9	from	from	ADP
brj-22938	96	10	the	the	DET
brj-22938	96	11	board	board	NOUN
brj-22938	96	12	scanning	scanning	NOUN
brj-22938	96	13	system	system	NOUN
brj-22938	96	14	was	be	AUX
brj-22938	96	15	processed	process	VERB
brj-22938	96	16	to	to	PART
brj-22938	96	17	anonymize	anonymize	VERB
brj-22938	96	18	it	it	PRON
brj-22938	96	19	and	and	CCONJ
brj-22938	96	20	separate	separate	VERB
brj-22938	96	21	it	it	PRON
brj-22938	96	22	from	from	ADP
brj-22938	96	23	the	the	DET
brj-22938	96	24	data	datum	NOUN
brj-22938	96	25	used	use	VERB
brj-22938	96	26	commercially	commercially	ADV
brj-22938	96	27	–	–	PUNCT
brj-22938	96	28	the	the	DET
brj-22938	96	29	aim	aim	NOUN
brj-22938	96	30	of	of	ADP
brj-22938	96	31	this	this	DET
brj-22938	96	32	study	study	NOUN
brj-22938	96	33	was	be	AUX
brj-22938	96	34	not	not	PART
brj-22938	96	35	to	to	PART
brj-22938	96	36	analyze	analyze	VERB
brj-22938	96	37	the	the	DET
brj-22938	96	38	performance	performance	NOUN
brj-22938	96	39	of	of	ADP
brj-22938	96	40	the	the	DET
brj-22938	96	41	commercial	commercial	ADJ
brj-22938	96	42	system	system	NOUN
brj-22938	96	43	but	but	CCONJ
brj-22938	96	44	to	to	PART
brj-22938	96	45	investigate	investigate	VERB
brj-22938	96	46	how	how	SCONJ
brj-22938	96	47	an	an	DET
brj-22938	96	48	augmentation	augmentation	NOUN
brj-22938	96	49	with	with	ADP
brj-22938	96	50	log	log	NOUN
brj-22938	96	51	scanner	scanner	NOUN
brj-22938	96	52	data	datum	NOUN
brj-22938	96	53	can	can	AUX
brj-22938	96	54	improve	improve	VERB
brj-22938	96	55	board	board	NOUN
brj-22938	96	56	scanner	scanner	NOUN
brj-22938	96	57	data	datum	NOUN
brj-22938	96	58	.	.	PUNCT
brj-22938	97	1	from	from	ADP
brj-22938	97	2	the	the	DET
brj-22938	97	3	board	board	NOUN
brj-22938	97	4	scanner	scanner	NOUN
brj-22938	97	5	,	,	PUNCT
brj-22938	97	6	defect	defect	VERB
brj-22938	97	7	information	information	NOUN
brj-22938	97	8	was	be	AUX
brj-22938	97	9	exported	export	VERB
brj-22938	97	10	,	,	PUNCT
brj-22938	97	11	containing	contain	VERB
brj-22938	97	12	a	a	DET
brj-22938	97	13	description	description	NOUN
brj-22938	97	14	of	of	ADP
brj-22938	97	15	the	the	DET
brj-22938	97	16	type	type	NOUN
brj-22938	97	17	of	of	ADP
brj-22938	97	18	defect	defect	NOUN
brj-22938	97	19	,	,	PUNCT
brj-22938	97	20	position	position	NOUN
brj-22938	97	21	on	on	ADP
brj-22938	97	22	the	the	DET
brj-22938	97	23	board	board	NOUN
brj-22938	97	24	face	face	NOUN
brj-22938	97	25	(	(	PUNCT
brj-22938	97	26	lengthwise	lengthwise	VERB
brj-22938	97	27	and	and	CCONJ
brj-22938	97	28	crosswise	crosswise	VERB
brj-22938	97	29	from	from	ADP
brj-22938	97	30	one	one	NUM
brj-22938	97	31	corner	corner	NOUN
brj-22938	97	32	)	)	PUNCT
brj-22938	97	33	,	,	PUNCT
brj-22938	97	34	width	width	ADJ
brj-22938	97	35	,	,	PUNCT
brj-22938	97	36	and	and	CCONJ
brj-22938	97	37	length	length	NOUN
brj-22938	97	38	,	,	PUNCT
brj-22938	97	39	for	for	ADP
brj-22938	97	40	all	all	DET
brj-22938	97	41	defects	defect	NOUN
brj-22938	97	42	detected	detect	VERB
brj-22938	97	43	by	by	ADP
brj-22938	97	44	the	the	DET
brj-22938	97	45	camera	camera	NOUN
brj-22938	97	46	system	system	NOUN
brj-22938	97	47	.	.	PUNCT
brj-22938	98	1	in	in	ADP
brj-22938	98	2	other	other	ADJ
brj-22938	98	3	words	word	NOUN
brj-22938	98	4	,	,	PUNCT
brj-22938	98	5	the	the	DET
brj-22938	98	6	defect	defect	NOUN
brj-22938	98	7	size	size	NOUN
brj-22938	98	8	was	be	AUX
brj-22938	98	9	described	describe	VERB
brj-22938	98	10	using	use	VERB
brj-22938	98	11	a	a	DET
brj-22938	98	12	rectangular	rectangular	ADJ
brj-22938	98	13	bounding	bounding	NOUN
brj-22938	98	14	box	box	NOUN
brj-22938	98	15	of	of	ADP
brj-22938	98	16	a	a	DET
brj-22938	98	17	certain	certain	ADJ
brj-22938	98	18	width	width	NOUN
brj-22938	98	19	and	and	CCONJ
brj-22938	98	20	length	length	NOUN
brj-22938	98	21	.	.	PUNCT
brj-22938	99	1	using	use	VERB
brj-22938	99	2	this	this	DET
brj-22938	99	3	information	information	NOUN
brj-22938	99	4	,	,	PUNCT
brj-22938	99	5	descriptive	descriptive	ADJ
brj-22938	99	6	variables	variable	NOUN
brj-22938	99	7	were	be	AUX
brj-22938	99	8	calculated	calculate	VERB
brj-22938	99	9	and	and	CCONJ
brj-22938	99	10	used	use	VERB
brj-22938	99	11	as	as	ADP
brj-22938	99	12	predictor	predictor	NOUN
brj-22938	99	13	variables	variable	NOUN
brj-22938	99	14	in	in	ADP
brj-22938	99	15	the	the	DET
brj-22938	99	16	pls	pls	PROPN
brj-22938	99	17	models	model	NOUN
brj-22938	99	18	.	.	PUNCT
brj-22938	100	1	this	this	PRON
brj-22938	100	2	was	be	AUX
brj-22938	100	3	done	do	VERB
brj-22938	100	4	as	as	SCONJ
brj-22938	100	5	follows	follow	VERB
brj-22938	100	6	:	:	PUNCT
brj-22938	100	7	•	•	ADP
brj-22938	100	8	the	the	DET
brj-22938	100	9	board	board	NOUN
brj-22938	100	10	was	be	AUX
brj-22938	100	11	divided	divide	VERB
brj-22938	100	12	into	into	ADP
brj-22938	100	13	six	six	NUM
brj-22938	100	14	zones	zone	NOUN
brj-22938	100	15	(	(	PUNCT
brj-22938	100	16	fig	fig	NOUN
brj-22938	100	17	.	.	NOUN
brj-22938	100	18	2	2	X
brj-22938	100	19	)	)	PUNCT
brj-22938	100	20	separated	separate	VERB
brj-22938	100	21	on	on	ADP
brj-22938	100	22	o	o	PROPN
brj-22938	100	23	flat	flat	ADJ
brj-22938	100	24	face	face	NOUN
brj-22938	100	25	or	or	CCONJ
brj-22938	100	26	edge	edge	NOUN
brj-22938	100	27	face	face	NOUN
brj-22938	100	28	,	,	PUNCT
brj-22938	100	29	with	with	ADP
brj-22938	100	30	both	both	CCONJ
brj-22938	100	31	flat	flat	ADJ
brj-22938	100	32	faces	face	NOUN
brj-22938	100	33	and	and	CCONJ
brj-22938	100	34	both	both	DET
brj-22938	100	35	edge	edge	NOUN
brj-22938	100	36	faces	face	NOUN
brj-22938	100	37	treated	treat	VERB
brj-22938	100	38	as	as	ADP
brj-22938	100	39	the	the	DET
brj-22938	100	40	same	same	ADJ
brj-22938	100	41	“	"	PUNCT
brj-22938	100	42	face	face	NOUN
brj-22938	100	43	”	"	PUNCT
brj-22938	100	44	.	.	PUNCT
brj-22938	101	1	o	o	NOUN
brj-22938	101	2	butt	butt	NOUN
brj-22938	101	3	,	,	PUNCT
brj-22938	101	4	middle	middle	ADJ
brj-22938	101	5	or	or	CCONJ
brj-22938	101	6	top	top	ADJ
brj-22938	101	7	zone	zone	NOUN
brj-22938	101	8	,	,	PUNCT
brj-22938	101	9	each	each	PRON
brj-22938	101	10	representing	represent	VERB
brj-22938	101	11	one	one	NUM
brj-22938	101	12	third	third	NOUN
brj-22938	101	13	of	of	ADP
brj-22938	101	14	the	the	DET
brj-22938	101	15	board	board	NOUN
brj-22938	101	16	length	length	NOUN
brj-22938	101	17	.	.	PUNCT
brj-22938	102	1	•	•	NOUN
brj-22938	102	2	defects	defect	NOUN
brj-22938	102	3	were	be	AUX
brj-22938	102	4	then	then	ADV
brj-22938	102	5	sorted	sort	VERB
brj-22938	102	6	into	into	ADP
brj-22938	102	7	groups	group	NOUN
brj-22938	102	8	based	base	VERB
brj-22938	102	9	on	on	ADP
brj-22938	102	10	their	their	PRON
brj-22938	102	11	type	type	NOUN
brj-22938	102	12	and	and	CCONJ
brj-22938	102	13	which	which	DET
brj-22938	102	14	zone	zone	NOUN
brj-22938	102	15	they	they	PRON
brj-22938	102	16	were	be	AUX
brj-22938	102	17	in	in	ADP
brj-22938	102	18	.	.	PUNCT
brj-22938	103	1	•	•	NUM
brj-22938	103	2	an	an	DET
brj-22938	103	3	area	area	NOUN
brj-22938	103	4	of	of	ADP
brj-22938	103	5	each	each	DET
brj-22938	103	6	defect	defect	NOUN
brj-22938	103	7	was	be	AUX
brj-22938	103	8	calculated	calculate	VERB
brj-22938	103	9	,	,	PUNCT
brj-22938	103	10	as	as	ADP
brj-22938	103	11	width	width	ADJ
brj-22938	103	12	×	×	NOUN
brj-22938	103	13	length	length	NOUN
brj-22938	103	14	.	.	PUNCT
brj-22938	104	1	•	•	NUM
brj-22938	104	2	a	a	DET
brj-22938	104	3	diagonal	diagonal	NOUN
brj-22938	104	4	of	of	ADP
brj-22938	104	5	each	each	DET
brj-22938	104	6	defect	defect	NOUN
brj-22938	104	7	was	be	AUX
brj-22938	104	8	calculated	calculate	VERB
brj-22938	104	9	,	,	PUNCT
brj-22938	104	10	as	as	ADP
brj-22938	104	11	√𝑤𝑖𝑑𝑡ℎ2	√𝑤𝑖𝑑𝑡ℎ2	ADP
brj-22938	104	12	+	+	NUM
brj-22938	104	13	𝑙𝑒𝑛𝑔𝑡ℎ2	𝑙𝑒𝑛𝑔𝑡ℎ2	NOUN
brj-22938	104	14	,	,	PUNCT
brj-22938	104	15	i.e.	i.e.	X
brj-22938	104	16	,	,	PUNCT
brj-22938	104	17	a	a	DET
brj-22938	104	18	corner	corner	NOUN
brj-22938	104	19	-	-	PUNCT
brj-22938	104	20	to	to	ADP
brj-22938	104	21	-	-	PUNCT
brj-22938	104	22	corner	corner	NOUN
brj-22938	104	23	diagonal	diagonal	ADJ
brj-22938	104	24	measurement	measurement	NOUN
brj-22938	104	25	of	of	ADP
brj-22938	104	26	the	the	DET
brj-22938	104	27	defect	defect	NOUN
brj-22938	104	28	bounding	bounding	NOUN
brj-22938	104	29	box	box	NOUN
brj-22938	104	30	.	.	PUNCT
brj-22938	105	1	•	•	NUM
brj-22938	105	2	for	for	ADP
brj-22938	105	3	each	each	DET
brj-22938	105	4	defect	defect	ADJ
brj-22938	105	5	group	group	NOUN
brj-22938	105	6	on	on	ADP
brj-22938	105	7	each	each	DET
brj-22938	105	8	board	board	NOUN
brj-22938	105	9	,	,	PUNCT
brj-22938	105	10	the	the	DET
brj-22938	105	11	following	follow	VERB
brj-22938	105	12	aggregated	aggregate	VERB
brj-22938	105	13	variables	variable	NOUN
brj-22938	105	14	were	be	AUX
brj-22938	105	15	calculated	calculate	VERB
brj-22938	105	16	:	:	PUNCT
brj-22938	105	17	o	o	NOUN
brj-22938	105	18	number	number	NOUN
brj-22938	105	19	of	of	ADP
brj-22938	105	20	defects	defect	NOUN
brj-22938	105	21	o	o	X
brj-22938	105	22	20th	20th	ADJ
brj-22938	105	23	percentile	percentile	NOUN
brj-22938	105	24	of	of	ADP
brj-22938	105	25	diagonal	diagonal	ADJ
brj-22938	105	26	,	,	PUNCT
brj-22938	105	27	length	length	NOUN
brj-22938	105	28	,	,	PUNCT
brj-22938	105	29	and	and	CCONJ
brj-22938	105	30	width	width	ADJ
brj-22938	105	31	,	,	PUNCT
brj-22938	105	32	respectively	respectively	ADV
brj-22938	105	33	o	o	X
brj-22938	105	34	80th	80th	ADJ
brj-22938	105	35	percentile	percentile	NOUN
brj-22938	105	36	of	of	ADP
brj-22938	105	37	diagonal	diagonal	ADJ
brj-22938	105	38	,	,	PUNCT
brj-22938	105	39	length	length	NOUN
brj-22938	105	40	,	,	PUNCT
brj-22938	105	41	and	and	CCONJ
brj-22938	105	42	width	width	ADJ
brj-22938	105	43	,	,	PUNCT
brj-22938	105	44	respectively	respectively	ADV
brj-22938	105	45	o	o	NOUN
brj-22938	105	46	median	median	NOUN
brj-22938	105	47	of	of	ADP
brj-22938	105	48	diagonal	diagonal	ADJ
brj-22938	105	49	,	,	PUNCT
brj-22938	105	50	length	length	NOUN
brj-22938	105	51	,	,	PUNCT
brj-22938	105	52	and	and	CCONJ
brj-22938	105	53	width	width	ADJ
brj-22938	105	54	,	,	PUNCT
brj-22938	105	55	respectively	respectively	ADV
brj-22938	105	56	o	o	NOUN
brj-22938	105	57	average	average	NOUN
brj-22938	105	58	of	of	ADP
brj-22938	105	59	diagonal	diagonal	ADJ
brj-22938	105	60	,	,	PUNCT
brj-22938	105	61	length	length	NOUN
brj-22938	105	62	,	,	PUNCT
brj-22938	105	63	and	and	CCONJ
brj-22938	105	64	width	width	ADJ
brj-22938	105	65	,	,	PUNCT
brj-22938	105	66	respectively	respectively	ADV
brj-22938	105	67	o	o	X
brj-22938	105	68	maximum	maximum	ADJ
brj-22938	105	69	diagonal	diagonal	ADJ
brj-22938	105	70	,	,	PUNCT
brj-22938	105	71	length	length	NOUN
brj-22938	105	72	and	and	CCONJ
brj-22938	105	73	width	width	ADJ
brj-22938	105	74	,	,	PUNCT
brj-22938	105	75	respectively	respectively	ADV
brj-22938	105	76	o	o	NOUN
brj-22938	105	77	minimum	minimum	ADJ
brj-22938	105	78	diagonal	diagonal	ADJ
brj-22938	105	79	,	,	PUNCT
brj-22938	105	80	length	length	NOUN
brj-22938	105	81	and	and	CCONJ
brj-22938	105	82	width	width	ADJ
brj-22938	105	83	,	,	PUNCT
brj-22938	105	84	respectively	respectively	ADV
brj-22938	105	85	o	o	X
brj-22938	105	86	standard	standard	ADJ
brj-22938	105	87	deviation	deviation	NOUN
brj-22938	105	88	of	of	ADP
brj-22938	105	89	diagonal	diagonal	ADJ
brj-22938	105	90	,	,	PUNCT
brj-22938	105	91	length	length	NOUN
brj-22938	105	92	and	and	CCONJ
brj-22938	105	93	width	width	ADJ
brj-22938	105	94	,	,	PUNCT
brj-22938	105	95	respectively	respectively	ADV
brj-22938	105	96	o	o	NOUN
brj-22938	105	97	total	total	ADJ
brj-22938	105	98	area	area	NOUN
brj-22938	105	99	o	o	NOUN
brj-22938	105	100	total	total	ADJ
brj-22938	105	101	area	area	NOUN
brj-22938	105	102	on	on	ADP
brj-22938	105	103	the	the	DET
brj-22938	105	104	25	25	NUM
brj-22938	105	105	cm	cm	PROPN
brj-22938	105	106	board	board	NOUN
brj-22938	105	107	length	length	NOUN
brj-22938	105	108	containing	contain	VERB
brj-22938	105	109	the	the	DET
brj-22938	105	110	largest	large	ADJ
brj-22938	105	111	defect	defect	NOUN
brj-22938	105	112	area	area	NOUN
brj-22938	105	113	,	,	PUNCT
brj-22938	105	114	i.e.	i.e.	X
brj-22938	105	115	,	,	PUNCT
brj-22938	105	116	a	a	DET
brj-22938	105	117	“	"	PUNCT
brj-22938	105	118	worst	bad	ADJ
brj-22938	105	119	25	25	NUM
brj-22938	105	120	cm	cm	NOUN
brj-22938	105	121	”	"	PUNCT
brj-22938	105	122	this	this	PRON
brj-22938	105	123	resulted	result	VERB
brj-22938	105	124	in	in	ADP
brj-22938	105	125	a	a	DET
brj-22938	105	126	total	total	NOUN
brj-22938	105	127	of	of	ADP
brj-22938	105	128	6	6	NUM
brj-22938	105	129	×	×	NOUN
brj-22938	105	130	24	24	NUM
brj-22938	105	131	=	=	SYM
brj-22938	105	132	144	144	NUM
brj-22938	105	133	variables	variable	NOUN
brj-22938	105	134	per	per	ADP
brj-22938	105	135	defect	defect	NOUN
brj-22938	105	136	type	type	NOUN
brj-22938	105	137	,	,	PUNCT
brj-22938	105	138	for	for	ADP
brj-22938	105	139	37	37	NUM
brj-22938	105	140	different	different	ADJ
brj-22938	105	141	defect	defect	NOUN
brj-22938	105	142	types	type	NOUN
brj-22938	105	143	.	.	PUNCT
brj-22938	106	1	also	also	ADV
brj-22938	106	2	included	include	VERB
brj-22938	106	3	were	be	AUX
brj-22938	106	4	length	length	NOUN
brj-22938	106	5	,	,	PUNCT
brj-22938	106	6	width	width	ADJ
brj-22938	106	7	,	,	PUNCT
brj-22938	106	8	and	and	CCONJ
brj-22938	106	9	thickness	thickness	NOUN
brj-22938	106	10	,	,	PUNCT
brj-22938	106	11	as	as	ADV
brj-22938	106	12	well	well	ADV
brj-22938	106	13	as	as	ADP
brj-22938	106	14	a	a	DET
brj-22938	106	15	so	so	ADV
brj-22938	106	16	-	-	PUNCT
brj-22938	106	17	called	call	VERB
brj-22938	106	18	indicating	indicate	VERB
brj-22938	106	19	property	property	NOUN
brj-22938	106	20	(	(	PUNCT
brj-22938	106	21	lukacevic	lukacevic	PROPN
brj-22938	106	22	et	et	PROPN
brj-22938	106	23	al	al	PROPN
brj-22938	106	24	.	.	PROPN
brj-22938	106	25	2015	2015	NUM
brj-22938	106	26	)	)	PUNCT
brj-22938	106	27	calculated	calculate	VERB
brj-22938	106	28	by	by	ADP
brj-22938	106	29	the	the	DET
brj-22938	106	30	scanner	scanner	NOUN
brj-22938	106	31	software	software	NOUN
brj-22938	106	32	.	.	PUNCT
brj-22938	107	1	fig	fig	NOUN
brj-22938	107	2	.	.	PUNCT
brj-22938	108	1	2	2	X
brj-22938	108	2	.	.	X
brj-22938	108	3	division	division	NOUN
brj-22938	108	4	of	of	ADP
brj-22938	108	5	board	board	NOUN
brj-22938	108	6	into	into	ADP
brj-22938	108	7	six	six	NUM
brj-22938	108	8	zones	zone	NOUN
brj-22938	108	9	based	base	VERB
brj-22938	108	10	on	on	ADP
brj-22938	108	11	flat	flat	ADJ
brj-22938	108	12	/	/	SYM
brj-22938	108	13	edge	edge	NOUN
brj-22938	108	14	face	face	NOUN
brj-22938	108	15	,	,	PUNCT
brj-22938	108	16	and	and	CCONJ
brj-22938	108	17	butt	butt	NOUN
brj-22938	108	18	/	/	SYM
brj-22938	108	19	middle	middle	ADJ
brj-22938	108	20	/	/	SYM
brj-22938	108	21	top	top	ADJ
brj-22938	108	22	third	third	ADJ
brj-22938	108	23	peer	peer	NOUN
brj-22938	108	24	-	-	PUNCT
brj-22938	108	25	reviewed	review	VERB
brj-22938	108	26	article	article	NOUN
brj-22938	108	27	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	108	28	fredriksson	fredriksson	NOUN
brj-22938	108	29	(	(	PUNCT
brj-22938	108	30	2024	2024	NUM
brj-22938	108	31	)	)	PUNCT
brj-22938	108	32	.	.	PUNCT
brj-22938	109	1	“	"	PUNCT
brj-22938	109	2	board	board	NOUN
brj-22938	109	3	strength	strength	NOUN
brj-22938	109	4	&	&	CCONJ
brj-22938	109	5	log	log	PROPN
brj-22938	109	6	data	data	PROPN
brj-22938	109	7	,	,	PUNCT
brj-22938	109	8	”	"	PUNCT
brj-22938	109	9	bioresources	bioresource	NOUN
brj-22938	109	10	19(1	19(1	NUM
brj-22938	109	11	)	)	PUNCT
brj-22938	109	12	,	,	PUNCT
brj-22938	109	13	1777	1777	NUM
brj-22938	109	14	-	-	SYM
brj-22938	109	15	1788	1788	NUM
brj-22938	109	16	.	.	PUNCT
brj-22938	110	1	1782	1782	NUM
brj-22938	110	2	overall	overall	ADJ
brj-22938	110	3	,	,	PUNCT
brj-22938	110	4	the	the	DET
brj-22938	110	5	number	number	NOUN
brj-22938	110	6	of	of	ADP
brj-22938	110	7	predictor	predictor	NOUN
brj-22938	110	8	variables	variable	NOUN
brj-22938	110	9	were	be	AUX
brj-22938	110	10	50	50	NUM
brj-22938	110	11	from	from	ADP
brj-22938	110	12	the	the	DET
brj-22938	110	13	x	x	NOUN
brj-22938	110	14	-	-	NOUN
brj-22938	110	15	ray	ray	NOUN
brj-22938	110	16	log	log	NOUN
brj-22938	110	17	scanner	scanner	NOUN
brj-22938	110	18	,	,	PUNCT
brj-22938	110	19	33	33	NUM
brj-22938	110	20	from	from	ADP
brj-22938	110	21	the	the	DET
brj-22938	110	22	3d	3d	NUM
brj-22938	110	23	log	log	NOUN
brj-22938	110	24	scanner	scanner	NOUN
brj-22938	110	25	,	,	PUNCT
brj-22938	110	26	and	and	CCONJ
brj-22938	110	27	5332	5332	NUM
brj-22938	110	28	from	from	ADP
brj-22938	110	29	the	the	DET
brj-22938	110	30	board	board	NOUN
brj-22938	110	31	scanner	scanner	NOUN
brj-22938	110	32	.	.	PUNCT
brj-22938	111	1	pre	pre	ADJ
brj-22938	111	2	-	-	ADJ
brj-22938	111	3	processing	processing	NOUN
brj-22938	111	4	of	of	ADP
brj-22938	111	5	bending	bend	VERB
brj-22938	111	6	test	test	NOUN
brj-22938	111	7	data	datum	NOUN
brj-22938	111	8	since	since	SCONJ
brj-22938	111	9	the	the	DET
brj-22938	111	10	x	x	NOUN
brj-22938	111	11	-	-	NOUN
brj-22938	111	12	ray	ray	NOUN
brj-22938	111	13	scanner	scanner	NOUN
brj-22938	111	14	used	use	VERB
brj-22938	111	15	was	be	AUX
brj-22938	111	16	two	two	NUM
brj-22938	111	17	directional	directional	ADJ
brj-22938	111	18	and	and	CCONJ
brj-22938	111	19	not	not	PART
brj-22938	111	20	a	a	DET
brj-22938	111	21	computed	compute	VERB
brj-22938	111	22	tomography	tomography	NOUN
brj-22938	111	23	scanner	scanner	NOUN
brj-22938	111	24	,	,	PUNCT
brj-22938	111	25	features	feature	NOUN
brj-22938	111	26	were	be	AUX
brj-22938	111	27	measured	measure	VERB
brj-22938	111	28	on	on	ADP
brj-22938	111	29	the	the	DET
brj-22938	111	30	log	log	NOUN
brj-22938	111	31	level	level	NOUN
brj-22938	111	32	rather	rather	ADV
brj-22938	111	33	than	than	ADP
brj-22938	111	34	for	for	ADP
brj-22938	111	35	individual	individual	ADJ
brj-22938	111	36	boards	board	NOUN
brj-22938	111	37	or	or	CCONJ
brj-22938	111	38	parts	part	NOUN
brj-22938	111	39	of	of	ADP
brj-22938	111	40	the	the	DET
brj-22938	111	41	log	log	NOUN
brj-22938	111	42	cross	cross	NOUN
brj-22938	111	43	-	-	NOUN
brj-22938	111	44	section	section	NOUN
brj-22938	111	45	.	.	PUNCT
brj-22938	112	1	therefore	therefore	ADV
brj-22938	112	2	,	,	PUNCT
brj-22938	112	3	the	the	DET
brj-22938	112	4	average	average	ADJ
brj-22938	112	5	value	value	NOUN
brj-22938	112	6	of	of	ADP
brj-22938	112	7	the	the	DET
brj-22938	112	8	bending	bend	VERB
brj-22938	112	9	strength	strength	NOUN
brj-22938	112	10	was	be	AUX
brj-22938	112	11	used	use	VERB
brj-22938	112	12	for	for	ADP
brj-22938	112	13	all	all	DET
brj-22938	112	14	models	model	NOUN
brj-22938	112	15	predicting	predict	VERB
brj-22938	112	16	on	on	ADP
brj-22938	112	17	the	the	DET
brj-22938	112	18	log	log	NOUN
brj-22938	112	19	level	level	NOUN
brj-22938	112	20	.	.	PUNCT
brj-22938	113	1	for	for	ADP
brj-22938	113	2	the	the	DET
brj-22938	113	3	models	model	NOUN
brj-22938	113	4	making	make	VERB
brj-22938	113	5	predictions	prediction	NOUN
brj-22938	113	6	on	on	ADP
brj-22938	113	7	the	the	DET
brj-22938	113	8	board	board	NOUN
brj-22938	113	9	level	level	NOUN
brj-22938	113	10	,	,	PUNCT
brj-22938	113	11	strength	strength	NOUN
brj-22938	113	12	values	value	NOUN
brj-22938	113	13	for	for	ADP
brj-22938	113	14	individual	individual	ADJ
brj-22938	113	15	boards	board	NOUN
brj-22938	113	16	were	be	AUX
brj-22938	113	17	used	use	VERB
brj-22938	113	18	.	.	PUNCT
brj-22938	114	1	pls	pls	PROPN
brj-22938	114	2	models	model	VERB
brj-22938	114	3	the	the	DET
brj-22938	114	4	models	model	NOUN
brj-22938	114	5	were	be	AUX
brj-22938	114	6	developed	develop	VERB
brj-22938	114	7	using	use	VERB
brj-22938	114	8	simca	simca	PROPN
brj-22938	114	9	14	14	NUM
brj-22938	114	10	(	(	PUNCT
brj-22938	114	11	sartorius	sartorius	NOUN
brj-22938	114	12	2023	2023	NUM
brj-22938	114	13	)	)	PUNCT
brj-22938	114	14	.	.	PUNCT
brj-22938	115	1	variables	variable	NOUN
brj-22938	115	2	were	be	AUX
brj-22938	115	3	scaled	scale	VERB
brj-22938	115	4	and	and	CCONJ
brj-22938	115	5	centered	center	VERB
brj-22938	115	6	before	before	ADP
brj-22938	115	7	training	train	VERB
brj-22938	115	8	the	the	DET
brj-22938	115	9	models	model	NOUN
brj-22938	115	10	,	,	PUNCT
brj-22938	115	11	by	by	ADP
brj-22938	115	12	subtracting	subtract	VERB
brj-22938	115	13	the	the	DET
brj-22938	115	14	mean	mean	NOUN
brj-22938	115	15	and	and	CCONJ
brj-22938	115	16	dividing	dividing	NOUN
brj-22938	115	17	by	by	ADP
brj-22938	115	18	the	the	DET
brj-22938	115	19	standard	standard	ADJ
brj-22938	115	20	deviation	deviation	NOUN
brj-22938	115	21	.	.	PUNCT
brj-22938	116	1	separate	separate	ADJ
brj-22938	116	2	training	training	NOUN
brj-22938	116	3	sets	set	NOUN
brj-22938	116	4	containing	contain	VERB
brj-22938	116	5	a	a	DET
brj-22938	116	6	randomized	randomized	ADJ
brj-22938	116	7	set	set	NOUN
brj-22938	116	8	with	with	ADP
brj-22938	116	9	90	90	NUM
brj-22938	116	10	%	%	NOUN
brj-22938	116	11	of	of	ADP
brj-22938	116	12	the	the	DET
brj-22938	116	13	observations	observation	NOUN
brj-22938	116	14	were	be	AUX
brj-22938	116	15	used	use	VERB
brj-22938	116	16	.	.	PUNCT
brj-22938	117	1	the	the	DET
brj-22938	117	2	models	model	NOUN
brj-22938	117	3	were	be	AUX
brj-22938	117	4	evaluated	evaluate	VERB
brj-22938	117	5	using	use	VERB
brj-22938	117	6	a	a	DET
brj-22938	117	7	test	test	NOUN
brj-22938	117	8	set	set	NOUN
brj-22938	117	9	containing	contain	VERB
brj-22938	117	10	the	the	DET
brj-22938	117	11	remaining	remain	VERB
brj-22938	117	12	10	10	NUM
brj-22938	117	13	%	%	NOUN
brj-22938	117	14	of	of	ADP
brj-22938	117	15	observations	observation	NOUN
brj-22938	117	16	.	.	PUNCT
brj-22938	118	1	this	this	PRON
brj-22938	118	2	was	be	AUX
brj-22938	118	3	repeated	repeat	VERB
brj-22938	118	4	ten	ten	NUM
brj-22938	118	5	times	time	NOUN
brj-22938	118	6	,	,	PUNCT
brj-22938	118	7	ensuring	ensure	VERB
brj-22938	118	8	that	that	SCONJ
brj-22938	118	9	all	all	DET
brj-22938	118	10	observations	observation	NOUN
brj-22938	118	11	were	be	AUX
brj-22938	118	12	part	part	NOUN
brj-22938	118	13	of	of	ADP
brj-22938	118	14	the	the	DET
brj-22938	118	15	test	test	NOUN
brj-22938	118	16	set	set	VERB
brj-22938	118	17	exactly	exactly	ADV
brj-22938	118	18	once	once	ADV
brj-22938	118	19	,	,	PUNCT
brj-22938	118	20	thus	thus	ADV
brj-22938	118	21	forming	form	VERB
brj-22938	118	22	part	part	NOUN
brj-22938	118	23	of	of	ADP
brj-22938	118	24	the	the	DET
brj-22938	118	25	training	training	NOUN
brj-22938	118	26	set	set	VERB
brj-22938	118	27	the	the	DET
brj-22938	118	28	other	other	ADJ
brj-22938	118	29	nine	nine	NUM
brj-22938	118	30	times	time	NOUN
brj-22938	118	31	.	.	PUNCT
brj-22938	119	1	simca	simca	PROPN
brj-22938	119	2	’s	’s	PART
brj-22938	119	3	automatic	automatic	ADJ
brj-22938	119	4	functionality	functionality	NOUN
brj-22938	119	5	for	for	ADP
brj-22938	119	6	finding	find	VERB
brj-22938	119	7	a	a	DET
brj-22938	119	8	suitable	suitable	ADJ
brj-22938	119	9	number	number	NOUN
brj-22938	119	10	of	of	ADP
brj-22938	119	11	principal	principal	ADJ
brj-22938	119	12	components	component	NOUN
brj-22938	119	13	was	be	AUX
brj-22938	119	14	used	use	VERB
brj-22938	119	15	,	,	PUNCT
brj-22938	119	16	i.e.	i.e.	X
brj-22938	119	17	,	,	PUNCT
brj-22938	119	18	adding	add	VERB
brj-22938	119	19	one	one	NUM
brj-22938	119	20	principal	principal	ADJ
brj-22938	119	21	component	component	NOUN
brj-22938	119	22	at	at	ADP
brj-22938	119	23	a	a	DET
brj-22938	119	24	time	time	NOUN
brj-22938	119	25	until	until	SCONJ
brj-22938	119	26	the	the	DET
brj-22938	119	27	calculated	calculated	ADJ
brj-22938	119	28	q2	q2	NOUN
brj-22938	119	29	(	(	PUNCT
brj-22938	119	30	cross	cross	ADJ
brj-22938	119	31	-	-	ADJ
brj-22938	119	32	validated	validated	ADJ
brj-22938	119	33	coefficient	coefficient	NOUN
brj-22938	119	34	of	of	ADP
brj-22938	119	35	determination	determination	NOUN
brj-22938	119	36	r2	r2	PROPN
brj-22938	119	37	,	,	PUNCT
brj-22938	119	38	eriksson	eriksson	PROPN
brj-22938	119	39	et	et	PROPN
brj-22938	119	40	al	al	PROPN
brj-22938	119	41	.	.	PROPN
brj-22938	119	42	2013	2013	NUM
brj-22938	119	43	)	)	PUNCT
brj-22938	119	44	value	value	NOUN
brj-22938	119	45	begins	begin	VERB
brj-22938	119	46	to	to	PART
brj-22938	119	47	recede	recede	VERB
brj-22938	119	48	.	.	PUNCT
brj-22938	120	1	all	all	DET
brj-22938	120	2	models	model	NOUN
brj-22938	120	3	were	be	AUX
brj-22938	120	4	evaluated	evaluate	VERB
brj-22938	120	5	on	on	ADP
brj-22938	120	6	average	average	ADJ
brj-22938	120	7	,	,	PUNCT
brj-22938	120	8	median	median	ADJ
brj-22938	120	9	and	and	CCONJ
brj-22938	120	10	standard	standard	ADJ
brj-22938	120	11	deviation	deviation	NOUN
brj-22938	120	12	of	of	ADP
brj-22938	120	13	the	the	DET
brj-22938	120	14	coefficient	coefficient	NOUN
brj-22938	120	15	of	of	ADP
brj-22938	120	16	determination	determination	NOUN
brj-22938	120	17	r2	r2	NOUN
brj-22938	120	18	and	and	CCONJ
brj-22938	120	19	root	root	NOUN
brj-22938	120	20	-	-	PUNCT
brj-22938	120	21	mean	mean	ADJ
brj-22938	120	22	-	-	PUNCT
brj-22938	120	23	square	square	NOUN
brj-22938	120	24	error	error	NOUN
brj-22938	120	25	(	(	PUNCT
brj-22938	120	26	rmse	rmse	NOUN
brj-22938	120	27	)	)	PUNCT
brj-22938	120	28	respectively	respectively	ADV
brj-22938	120	29	.	.	PUNCT
brj-22938	121	1	each	each	DET
brj-22938	121	2	model	model	NOUN
brj-22938	121	3	was	be	AUX
brj-22938	121	4	created	create	VERB
brj-22938	121	5	in	in	ADP
brj-22938	121	6	a	a	DET
brj-22938	121	7	hierarchical	hierarchical	ADJ
brj-22938	121	8	way	way	NOUN
brj-22938	121	9	,	,	PUNCT
brj-22938	121	10	in	in	ADP
brj-22938	121	11	three	three	NUM
brj-22938	121	12	steps	step	NOUN
brj-22938	121	13	.	.	PUNCT
brj-22938	122	1	first	first	ADV
brj-22938	122	2	,	,	PUNCT
brj-22938	122	3	a	a	DET
brj-22938	122	4	model	model	NOUN
brj-22938	122	5	predicting	predict	VERB
brj-22938	122	6	the	the	DET
brj-22938	122	7	density	density	NOUN
brj-22938	122	8	of	of	ADP
brj-22938	122	9	the	the	DET
brj-22938	122	10	board	board	NOUN
brj-22938	122	11	(	(	PUNCT
brj-22938	122	12	or	or	CCONJ
brj-22938	122	13	average	average	ADJ
brj-22938	122	14	in	in	ADP
brj-22938	122	15	the	the	DET
brj-22938	122	16	case	case	NOUN
brj-22938	122	17	of	of	ADP
brj-22938	122	18	prediction	prediction	NOUN
brj-22938	122	19	on	on	ADP
brj-22938	122	20	logs	log	NOUN
brj-22938	122	21	)	)	PUNCT
brj-22938	122	22	was	be	AUX
brj-22938	122	23	created	create	VERB
brj-22938	122	24	.	.	PUNCT
brj-22938	123	1	secondly	secondly	ADV
brj-22938	123	2	,	,	PUNCT
brj-22938	123	3	a	a	DET
brj-22938	123	4	model	model	NOUN
brj-22938	123	5	predicting	predict	VERB
brj-22938	123	6	the	the	DET
brj-22938	123	7	moe	moe	NOUN
brj-22938	123	8	was	be	AUX
brj-22938	123	9	created	create	VERB
brj-22938	123	10	,	,	PUNCT
brj-22938	123	11	including	include	VERB
brj-22938	123	12	the	the	DET
brj-22938	123	13	predicted	predict	VERB
brj-22938	123	14	density	density	NOUN
brj-22938	123	15	from	from	ADP
brj-22938	123	16	the	the	DET
brj-22938	123	17	first	first	ADJ
brj-22938	123	18	model	model	NOUN
brj-22938	123	19	as	as	ADP
brj-22938	123	20	a	a	DET
brj-22938	123	21	predictor	predictor	NOUN
brj-22938	123	22	variable	variable	NOUN
brj-22938	123	23	together	together	ADV
brj-22938	123	24	with	with	ADP
brj-22938	123	25	all	all	DET
brj-22938	123	26	others	other	NOUN
brj-22938	123	27	.	.	PUNCT
brj-22938	124	1	thirdly	thirdly	ADV
brj-22938	124	2	,	,	PUNCT
brj-22938	124	3	a	a	DET
brj-22938	124	4	model	model	NOUN
brj-22938	124	5	predicting	predict	VERB
brj-22938	124	6	bending	bending	NOUN
brj-22938	124	7	strength	strength	NOUN
brj-22938	124	8	was	be	AUX
brj-22938	124	9	created	create	VERB
brj-22938	124	10	using	use	VERB
brj-22938	124	11	both	both	PRON
brj-22938	124	12	predicted	predict	VERB
brj-22938	124	13	density	density	NOUN
brj-22938	124	14	and	and	CCONJ
brj-22938	124	15	moe	moe	NOUN
brj-22938	124	16	as	as	ADP
brj-22938	124	17	predictor	predictor	NOUN
brj-22938	124	18	variables	variable	NOUN
brj-22938	124	19	with	with	ADP
brj-22938	124	20	all	all	DET
brj-22938	124	21	others	other	NOUN
brj-22938	124	22	.	.	PUNCT
brj-22938	125	1	for	for	ADP
brj-22938	125	2	all	all	DET
brj-22938	125	3	models	model	NOUN
brj-22938	125	4	,	,	PUNCT
brj-22938	125	5	a	a	DET
brj-22938	125	6	variable	variable	ADJ
brj-22938	125	7	reduction	reduction	NOUN
brj-22938	125	8	step	step	NOUN
brj-22938	125	9	was	be	AUX
brj-22938	125	10	made	make	VERB
brj-22938	125	11	,	,	PUNCT
brj-22938	125	12	in	in	ADP
brj-22938	125	13	which	which	PRON
brj-22938	125	14	the	the	DET
brj-22938	125	15	thirty	thirty	NUM
brj-22938	125	16	most	most	ADV
brj-22938	125	17	important	important	ADJ
brj-22938	125	18	predictor	predictor	NOUN
brj-22938	125	19	variables	variable	NOUN
brj-22938	125	20	were	be	AUX
brj-22938	125	21	retained	retain	VERB
brj-22938	125	22	.	.	PUNCT
brj-22938	126	1	the	the	DET
brj-22938	126	2	selection	selection	NOUN
brj-22938	126	3	was	be	AUX
brj-22938	126	4	made	make	VERB
brj-22938	126	5	by	by	ADP
brj-22938	126	6	creating	create	VERB
brj-22938	126	7	a	a	DET
brj-22938	126	8	basic	basic	ADJ
brj-22938	126	9	model	model	NOUN
brj-22938	126	10	in	in	ADP
brj-22938	126	11	simca	simca	PROPN
brj-22938	126	12	,	,	PUNCT
brj-22938	126	13	then	then	ADV
brj-22938	126	14	sorting	sort	VERB
brj-22938	126	15	the	the	DET
brj-22938	126	16	variables	variable	NOUN
brj-22938	126	17	on	on	ADP
brj-22938	126	18	their	their	PRON
brj-22938	126	19	influence	influence	NOUN
brj-22938	126	20	on	on	ADP
brj-22938	126	21	projection	projection	NOUN
brj-22938	126	22	(	(	PUNCT
brj-22938	126	23	vip	vip	PROPN
brj-22938	126	24	,	,	PUNCT
brj-22938	126	25	eriksson	eriksson	PROPN
brj-22938	126	26	et	et	PROPN
brj-22938	126	27	al	al	PROPN
brj-22938	126	28	.	.	PROPN
brj-22938	126	29	2013	2013	NUM
brj-22938	126	30	)	)	PUNCT
brj-22938	126	31	value	value	NOUN
brj-22938	126	32	and	and	CCONJ
brj-22938	126	33	retaining	retain	VERB
brj-22938	126	34	the	the	DET
brj-22938	126	35	top	top	ADJ
brj-22938	126	36	thirty	thirty	NUM
brj-22938	126	37	.	.	PUNCT
brj-22938	127	1	for	for	ADP
brj-22938	127	2	the	the	DET
brj-22938	127	3	3d	3d	PROPN
brj-22938	127	4	scenario	scenario	NOUN
brj-22938	127	5	,	,	PUNCT
brj-22938	127	6	this	this	DET
brj-22938	127	7	number	number	NOUN
brj-22938	127	8	was	be	AUX
brj-22938	127	9	reduced	reduce	VERB
brj-22938	127	10	to	to	ADP
brj-22938	127	11	ten	ten	NUM
brj-22938	127	12	variables	variable	NOUN
brj-22938	127	13	since	since	SCONJ
brj-22938	127	14	the	the	DET
brj-22938	127	15	amount	amount	NOUN
brj-22938	127	16	of	of	ADP
brj-22938	127	17	available	available	ADJ
brj-22938	127	18	predictor	predictor	NOUN
brj-22938	127	19	variables	variable	NOUN
brj-22938	127	20	were	be	AUX
brj-22938	127	21	just	just	ADV
brj-22938	127	22	32	32	NUM
brj-22938	127	23	.	.	PUNCT
brj-22938	128	1	for	for	ADP
brj-22938	128	2	each	each	DET
brj-22938	128	3	prediction	prediction	NOUN
brj-22938	128	4	model	model	NOUN
brj-22938	128	5	,	,	PUNCT
brj-22938	128	6	r2	r2	PROPN
brj-22938	128	7	was	be	AUX
brj-22938	128	8	calculated	calculate	VERB
brj-22938	128	9	on	on	ADP
brj-22938	128	10	the	the	DET
brj-22938	128	11	test	test	NOUN
brj-22938	128	12	set	set	VERB
brj-22938	128	13	according	accord	VERB
brj-22938	128	14	to	to	ADP
brj-22938	128	15	eq	eq	PROPN
brj-22938	128	16	.	.	PROPN
brj-22938	128	17	1	1	NUM
brj-22938	128	18	,	,	PUNCT
brj-22938	128	19	1	1	NUM
brj-22938	129	1	−	−	PROPN
brj-22938	129	2	𝑆𝑆𝑟𝑒𝑠	𝑆𝑆𝑟𝑒𝑠	PROPN
brj-22938	129	3	𝑆𝑆𝑡𝑜𝑡	𝑆𝑆𝑡𝑜𝑡	PROPN
brj-22938	129	4	(	(	PUNCT
brj-22938	129	5	1	1	X
brj-22938	129	6	)	)	PUNCT
brj-22938	129	7	where	where	SCONJ
brj-22938	129	8	ssres	ssre	NOUN
brj-22938	129	9	is	be	AUX
brj-22938	129	10	the	the	DET
brj-22938	129	11	residual	residual	ADJ
brj-22938	129	12	sum	sum	NOUN
brj-22938	129	13	of	of	ADP
brj-22938	129	14	squares	square	NOUN
brj-22938	129	15	and	and	CCONJ
brj-22938	129	16	sstot	sstot	VERB
brj-22938	129	17	is	be	AUX
brj-22938	129	18	the	the	DET
brj-22938	129	19	total	total	ADJ
brj-22938	129	20	sum	sum	NOUN
brj-22938	129	21	of	of	ADP
brj-22938	129	22	squares	square	NOUN
brj-22938	129	23	.	.	PUNCT
brj-22938	130	1	the	the	DET
brj-22938	130	2	rmse	rmse	NOUN
brj-22938	130	3	was	be	AUX
brj-22938	130	4	calculated	calculate	VERB
brj-22938	130	5	according	accord	VERB
brj-22938	130	6	to	to	ADP
brj-22938	130	7	eq	eq	NOUN
brj-22938	130	8	.	.	PROPN
brj-22938	130	9	2	2	NUM
brj-22938	130	10	,	,	PUNCT
brj-22938	130	11	√	√	ADV
brj-22938	130	12	∑	∑	PROPN
brj-22938	130	13	(	(	PUNCT
brj-22938	130	14	�	�	NOUN
brj-22938	130	15	̅	̅	NOUN
brj-22938	130	16	�	�	NOUN
brj-22938	130	17	−𝑦𝑖	−𝑦𝑖	NOUN
brj-22938	130	18	)	)	PUNCT
brj-22938	130	19	2𝑛	2𝑛	PROPN
brj-22938	130	20	1	1	NUM
brj-22938	130	21	𝑛	𝑛	PROPN
brj-22938	130	22	(	(	PUNCT
brj-22938	130	23	2	2	NUM
brj-22938	130	24	)	)	PUNCT
brj-22938	130	25	where	where	SCONJ
brj-22938	130	26	n	n	PRON
brj-22938	130	27	is	be	AUX
brj-22938	130	28	the	the	DET
brj-22938	130	29	number	number	NOUN
brj-22938	130	30	of	of	ADP
brj-22938	130	31	observations	observation	NOUN
brj-22938	130	32	,	,	PUNCT
brj-22938	130	33	ȳ	ȳ	PROPN
brj-22938	130	34	is	be	AUX
brj-22938	130	35	the	the	DET
brj-22938	130	36	observed	observed	ADJ
brj-22938	130	37	average	average	NOUN
brj-22938	130	38	of	of	ADP
brj-22938	130	39	the	the	DET
brj-22938	130	40	dependent	dependent	ADJ
brj-22938	130	41	variable	variable	NOUN
brj-22938	130	42	,	,	PUNCT
brj-22938	130	43	and	and	CCONJ
brj-22938	130	44	yi	yi	PROPN
brj-22938	130	45	is	be	AUX
brj-22938	130	46	the	the	DET
brj-22938	130	47	predicted	predict	VERB
brj-22938	130	48	dependent	dependent	ADJ
brj-22938	130	49	variable	variable	NOUN
brj-22938	130	50	for	for	ADP
brj-22938	130	51	observation	observation	NOUN
brj-22938	130	52	i.	i.	PROPN
brj-22938	130	53	average	average	PROPN
brj-22938	130	54	,	,	PUNCT
brj-22938	130	55	median	median	ADJ
brj-22938	130	56	,	,	PUNCT
brj-22938	130	57	and	and	CCONJ
brj-22938	130	58	standard	standard	ADJ
brj-22938	130	59	deviation	deviation	NOUN
brj-22938	130	60	of	of	ADP
brj-22938	130	61	r2	r2	PROPN
brj-22938	130	62	and	and	CCONJ
brj-22938	130	63	rmse	rmse	NOUN
brj-22938	130	64	was	be	AUX
brj-22938	130	65	calculated	calculate	VERB
brj-22938	130	66	for	for	ADP
brj-22938	130	67	the	the	DET
brj-22938	130	68	ten	ten	NUM
brj-22938	130	69	model	model	NOUN
brj-22938	130	70	permutations	permutation	NOUN
brj-22938	130	71	,	,	PUNCT
brj-22938	130	72	for	for	ADP
brj-22938	130	73	each	each	PRON
brj-22938	130	74	of	of	ADP
brj-22938	130	75	the	the	DET
brj-22938	130	76	four	four	NUM
brj-22938	130	77	scenarios	scenario	NOUN
brj-22938	130	78	in	in	ADP
brj-22938	130	79	table	table	NOUN
brj-22938	130	80	1	1	NUM
brj-22938	130	81	.	.	PUNCT
brj-22938	130	82	peer	peer	NOUN
brj-22938	130	83	-	-	PUNCT
brj-22938	130	84	reviewed	review	VERB
brj-22938	130	85	article	article	NOUN
brj-22938	130	86	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	130	87	fredriksson	fredriksson	NOUN
brj-22938	130	88	(	(	PUNCT
brj-22938	130	89	2024	2024	NUM
brj-22938	130	90	)	)	PUNCT
brj-22938	130	91	.	.	PUNCT
brj-22938	131	1	“	"	PUNCT
brj-22938	131	2	board	board	NOUN
brj-22938	131	3	strength	strength	NOUN
brj-22938	131	4	&	&	CCONJ
brj-22938	131	5	log	log	PROPN
brj-22938	131	6	data	data	PROPN
brj-22938	131	7	,	,	PUNCT
brj-22938	131	8	”	"	PUNCT
brj-22938	131	9	bioresources	bioresource	NOUN
brj-22938	131	10	19(1	19(1	NUM
brj-22938	131	11	)	)	PUNCT
brj-22938	131	12	,	,	PUNCT
brj-22938	131	13	1777	1777	NUM
brj-22938	131	14	-	-	SYM
brj-22938	131	15	1788	1788	NUM
brj-22938	131	16	.	.	PUNCT
brj-22938	132	1	1783	1783	NUM
brj-22938	132	2	results	result	NOUN
brj-22938	132	3	and	and	CCONJ
brj-22938	132	4	discussion	discussion	VERB
brj-22938	132	5	the	the	DET
brj-22938	132	6	prediction	prediction	NOUN
brj-22938	132	7	strength	strength	NOUN
brj-22938	132	8	of	of	ADP
brj-22938	132	9	each	each	PRON
brj-22938	132	10	of	of	ADP
brj-22938	132	11	the	the	DET
brj-22938	132	12	developed	develop	VERB
brj-22938	132	13	models	model	NOUN
brj-22938	132	14	is	be	AUX
brj-22938	132	15	summarized	summarize	VERB
brj-22938	132	16	in	in	ADP
brj-22938	132	17	table	table	NOUN
brj-22938	132	18	3	3	NUM
brj-22938	132	19	for	for	ADP
brj-22938	132	20	norway	norway	NOUN
brj-22938	132	21	spruce	spruce	NOUN
brj-22938	132	22	and	and	CCONJ
brj-22938	132	23	table	table	NOUN
brj-22938	132	24	4	4	NUM
brj-22938	132	25	for	for	ADP
brj-22938	132	26	scots	scot	NOUN
brj-22938	132	27	pine	pine	NOUN
brj-22938	132	28	.	.	PUNCT
brj-22938	133	1	note	note	VERB
brj-22938	133	2	that	that	SCONJ
brj-22938	133	3	the	the	DET
brj-22938	133	4	models	model	NOUN
brj-22938	133	5	created	create	VERB
brj-22938	133	6	on	on	ADP
brj-22938	133	7	the	the	DET
brj-22938	133	8	log	log	NOUN
brj-22938	133	9	level	level	NOUN
brj-22938	133	10	(	(	PUNCT
brj-22938	133	11	3d	3d	NOUN
brj-22938	133	12	,	,	PUNCT
brj-22938	133	13	3dx	3dx	NOUN
brj-22938	133	14	)	)	PUNCT
brj-22938	133	15	predict	predict	VERB
brj-22938	133	16	the	the	DET
brj-22938	133	17	average	average	ADJ
brj-22938	133	18	strength	strength	NOUN
brj-22938	133	19	of	of	ADP
brj-22938	133	20	the	the	DET
brj-22938	133	21	boards	board	NOUN
brj-22938	133	22	produced	produce	VERB
brj-22938	133	23	from	from	ADP
brj-22938	133	24	the	the	DET
brj-22938	133	25	log	log	NOUN
brj-22938	133	26	,	,	PUNCT
brj-22938	133	27	while	while	SCONJ
brj-22938	133	28	the	the	DET
brj-22938	133	29	models	model	NOUN
brj-22938	133	30	on	on	ADP
brj-22938	133	31	the	the	DET
brj-22938	133	32	board	board	NOUN
brj-22938	133	33	level	level	NOUN
brj-22938	133	34	(	(	PUNCT
brj-22938	133	35	bs	bs	NOUN
brj-22938	133	36	,	,	PUNCT
brj-22938	133	37	bs3dx	bs3dx	NUM
brj-22938	133	38	)	)	PUNCT
brj-22938	133	39	predict	predict	VERB
brj-22938	133	40	individual	individual	ADJ
brj-22938	133	41	strength	strength	NOUN
brj-22938	133	42	of	of	ADP
brj-22938	133	43	boards	board	NOUN
brj-22938	133	44	.	.	PUNCT
brj-22938	134	1	there	there	PRON
brj-22938	134	2	was	be	VERB
brj-22938	134	3	an	an	DET
brj-22938	134	4	increase	increase	NOUN
brj-22938	134	5	of	of	ADP
brj-22938	134	6	the	the	DET
brj-22938	134	7	average	average	ADJ
brj-22938	134	8	r2	r2	NOUN
brj-22938	134	9	values	value	NOUN
brj-22938	134	10	by	by	ADP
brj-22938	134	11	0.04	0.04	NUM
brj-22938	134	12	to	to	ADP
brj-22938	134	13	0.19	0.19	NUM
brj-22938	134	14	when	when	SCONJ
brj-22938	134	15	augmenting	augment	VERB
brj-22938	134	16	board	board	NOUN
brj-22938	134	17	scanner	scanner	NOUN
brj-22938	134	18	data	datum	NOUN
brj-22938	134	19	with	with	ADP
brj-22938	134	20	x	x	NOUN
brj-22938	134	21	-	-	NOUN
brj-22938	134	22	ray	ray	NOUN
brj-22938	134	23	and	and	CCONJ
brj-22938	134	24	3d	3d	NUM
brj-22938	134	25	log	log	NOUN
brj-22938	134	26	data	datum	NOUN
brj-22938	134	27	,	,	PUNCT
brj-22938	134	28	and	and	CCONJ
brj-22938	134	29	a	a	DET
brj-22938	134	30	decrease	decrease	NOUN
brj-22938	134	31	of	of	ADP
brj-22938	134	32	the	the	DET
brj-22938	134	33	average	average	ADJ
brj-22938	134	34	rmse	rmse	NOUN
brj-22938	134	35	of	of	ADP
brj-22938	134	36	the	the	DET
brj-22938	134	37	bending	bend	VERB
brj-22938	134	38	strength	strength	NOUN
brj-22938	134	39	by	by	ADP
brj-22938	134	40	0.28	0.28	NUM
brj-22938	134	41	to	to	PART
brj-22938	134	42	1.09	1.09	NUM
brj-22938	134	43	mpa	mpa	NOUN
brj-22938	134	44	.	.	PUNCT
brj-22938	135	1	doing	do	VERB
brj-22938	135	2	a	a	DET
brj-22938	135	3	two	two	NUM
brj-22938	135	4	-	-	PUNCT
brj-22938	135	5	sample	sample	NOUN
brj-22938	135	6	t	t	PROPN
brj-22938	135	7	-	-	PUNCT
brj-22938	135	8	test	test	NOUN
brj-22938	135	9	showed	show	VERB
brj-22938	135	10	that	that	SCONJ
brj-22938	135	11	the	the	DET
brj-22938	135	12	null	null	ADJ
brj-22938	135	13	hypotheses	hypothesis	NOUN
brj-22938	135	14	of	of	ADP
brj-22938	135	15	equal	equal	ADJ
brj-22938	135	16	average	average	ADJ
brj-22938	135	17	r2	r2	NOUN
brj-22938	135	18	and	and	CCONJ
brj-22938	135	19	rmse	rmse	ADJ
brj-22938	135	20	values	value	NOUN
brj-22938	135	21	between	between	ADP
brj-22938	135	22	bs	bs	NOUN
brj-22938	135	23	and	and	CCONJ
brj-22938	135	24	bs3dx	bs3dx	NUM
brj-22938	135	25	could	could	AUX
brj-22938	135	26	both	both	PRON
brj-22938	135	27	be	be	AUX
brj-22938	135	28	rejected	reject	VERB
brj-22938	135	29	at	at	ADP
brj-22938	135	30	a	a	DET
brj-22938	135	31	confidence	confidence	NOUN
brj-22938	135	32	level	level	NOUN
brj-22938	135	33	of	of	ADP
brj-22938	135	34	95	95	NUM
brj-22938	135	35	%	%	NOUN
brj-22938	135	36	for	for	ADP
brj-22938	135	37	spruce	spruce	NOUN
brj-22938	135	38	,	,	PUNCT
brj-22938	135	39	but	but	CCONJ
brj-22938	135	40	not	not	PART
brj-22938	135	41	for	for	ADP
brj-22938	135	42	pine	pine	NOUN
brj-22938	135	43	.	.	PUNCT
brj-22938	136	1	stating	state	VERB
brj-22938	136	2	a	a	DET
brj-22938	136	3	null	null	ADJ
brj-22938	136	4	hypothesis	hypothesis	NOUN
brj-22938	136	5	of	of	ADP
brj-22938	136	6	no	no	DET
brj-22938	136	7	difference	difference	NOUN
brj-22938	136	8	between	between	ADP
brj-22938	136	9	the	the	DET
brj-22938	136	10	species	specie	NOUN
brj-22938	136	11	for	for	ADP
brj-22938	136	12	all	all	DET
brj-22938	136	13	average	average	ADJ
brj-22938	136	14	r2	r2	NOUN
brj-22938	136	15	and	and	CCONJ
brj-22938	136	16	rmse	rmse	ADJ
brj-22938	136	17	values	value	NOUN
brj-22938	136	18	and	and	CCONJ
brj-22938	136	19	performing	perform	VERB
brj-22938	136	20	a	a	DET
brj-22938	136	21	t	t	NOUN
brj-22938	136	22	-	-	PUNCT
brj-22938	136	23	test	test	NOUN
brj-22938	136	24	does	do	AUX
brj-22938	136	25	not	not	PART
brj-22938	136	26	support	support	VERB
brj-22938	136	27	a	a	DET
brj-22938	136	28	rejection	rejection	NOUN
brj-22938	136	29	of	of	ADP
brj-22938	136	30	the	the	DET
brj-22938	136	31	null	null	ADJ
brj-22938	136	32	hypothesis	hypothesis	NOUN
brj-22938	136	33	,	,	PUNCT
brj-22938	136	34	except	except	SCONJ
brj-22938	136	35	possibly	possibly	ADV
brj-22938	136	36	in	in	ADP
brj-22938	136	37	the	the	DET
brj-22938	136	38	bs	bs	PROPN
brj-22938	136	39	scenario	scenario	NOUN
brj-22938	136	40	.	.	PUNCT
brj-22938	137	1	care	care	NOUN
brj-22938	137	2	should	should	AUX
brj-22938	137	3	be	be	AUX
brj-22938	137	4	taken	take	VERB
brj-22938	137	5	when	when	SCONJ
brj-22938	137	6	interpreting	interpret	VERB
brj-22938	137	7	p	p	NOUN
brj-22938	137	8	-	-	PUNCT
brj-22938	137	9	values	value	NOUN
brj-22938	137	10	however	however	ADV
brj-22938	137	11	(	(	PUNCT
brj-22938	137	12	colquhoun	colquhoun	NOUN
brj-22938	137	13	2014	2014	NUM
brj-22938	137	14	)	)	PUNCT
brj-22938	137	15	,	,	PUNCT
brj-22938	137	16	and	and	CCONJ
brj-22938	137	17	in	in	ADP
brj-22938	137	18	all	all	DET
brj-22938	137	19	the	the	DET
brj-22938	137	20	investigated	investigate	VERB
brj-22938	137	21	cases	case	NOUN
brj-22938	137	22	the	the	DET
brj-22938	137	23	addition	addition	NOUN
brj-22938	137	24	of	of	ADP
brj-22938	137	25	log	log	NOUN
brj-22938	137	26	3d	3d	NOUN
brj-22938	137	27	and	and	CCONJ
brj-22938	137	28	x	x	NOUN
brj-22938	137	29	-	-	NOUN
brj-22938	137	30	ray	ray	NOUN
brj-22938	137	31	data	datum	NOUN
brj-22938	137	32	to	to	ADP
brj-22938	137	33	board	board	NOUN
brj-22938	137	34	data	datum	NOUN
brj-22938	137	35	resulted	result	VERB
brj-22938	137	36	in	in	ADP
brj-22938	137	37	an	an	DET
brj-22938	137	38	improvement	improvement	NOUN
brj-22938	137	39	of	of	ADP
brj-22938	137	40	the	the	DET
brj-22938	137	41	strength	strength	NOUN
brj-22938	137	42	prediction	prediction	NOUN
brj-22938	137	43	.	.	PUNCT
brj-22938	138	1	table	table	NOUN
brj-22938	138	2	3	3	NUM
brj-22938	138	3	.	.	PUNCT
brj-22938	138	4	prediction	prediction	NOUN
brj-22938	138	5	results	result	NOUN
brj-22938	138	6	for	for	ADP
brj-22938	138	7	norway	norway	NOUN
brj-22938	138	8	spruce	spruce	NOUN
brj-22938	138	9	r2	r2	PROPN
brj-22938	138	10	rmse	rmse	NOUN
brj-22938	138	11	(	(	PUNCT
brj-22938	138	12	mpa	mpa	PROPN
brj-22938	138	13	)	)	PUNCT
brj-22938	138	14	scenario	scenario	NOUN
brj-22938	138	15	average	average	ADJ
brj-22938	138	16	median	median	PROPN
brj-22938	138	17	sd	sd	ADP
brj-22938	138	18	average	average	ADJ
brj-22938	138	19	median	median	PROPN
brj-22938	138	20	sd	sd	ADP
brj-22938	138	21	3d	3d	PROPN
brj-22938	138	22	0.028	0.028	NUM
brj-22938	138	23	-0.025	-0.025	NOUN
brj-22938	138	24	0.32	0.32	NUM
brj-22938	138	25	8.3	8.3	NUM
brj-22938	138	26	7.8	7.8	NUM
brj-22938	138	27	1.9	1.9	NUM
brj-22938	138	28	3dx	3dx	NOUN
brj-22938	138	29	0.34	0.34	NUM
brj-22938	138	30	0.50	0.50	NUM
brj-22938	138	31	0.36	0.36	NUM
brj-22938	138	32	6.7	6.7	NUM
brj-22938	138	33	6.1	6.1	NUM
brj-22938	138	34	1.9	1.9	NUM
brj-22938	138	35	bs	bs	NOUN
brj-22938	138	36	0.33	0.33	NUM
brj-22938	138	37	0.33	0.33	NUM
brj-22938	138	38	0.16	0.16	NUM
brj-22938	138	39	7.7	7.7	NUM
brj-22938	138	40	7.9	7.9	NUM
brj-22938	138	41	0.90	0.90	NUM
brj-22938	138	42	bs3dx	bs3dx	NUM
brj-22938	138	43	0.50	0.50	NUM
brj-22938	138	44	0.52	0.52	NUM
brj-22938	138	45	0.16	0.16	NUM
brj-22938	138	46	6.6	6.6	NUM
brj-22938	138	47	6.9	6.9	NUM
brj-22938	138	48	1.1	1.1	NUM
brj-22938	138	49	rmse	rmse	NOUN
brj-22938	138	50	=	=	SYM
brj-22938	139	1	root	root	NOUN
brj-22938	139	2	mean	mean	VERB
brj-22938	139	3	square	square	NOUN
brj-22938	139	4	error	error	NOUN
brj-22938	139	5	.	.	PUNCT
brj-22938	140	1	sd	sd	NOUN
brj-22938	140	2	=	=	PUNCT
brj-22938	140	3	standard	standard	ADJ
brj-22938	140	4	deviation	deviation	NOUN
brj-22938	140	5	.	.	PUNCT
brj-22938	141	1	the	the	DET
brj-22938	141	2	numbers	number	NOUN
brj-22938	141	3	were	be	AUX
brj-22938	141	4	calculated	calculate	VERB
brj-22938	141	5	for	for	ADP
brj-22938	141	6	ten	ten	NUM
brj-22938	141	7	permutations	permutation	NOUN
brj-22938	141	8	of	of	ADP
brj-22938	141	9	different	different	ADJ
brj-22938	141	10	trainingand	trainingand	NOUN
brj-22938	141	11	test	test	NOUN
brj-22938	141	12	sets	set	NOUN
brj-22938	141	13	.	.	PUNCT
brj-22938	142	1	table	table	NOUN
brj-22938	142	2	4	4	NUM
brj-22938	142	3	.	.	PUNCT
brj-22938	142	4	prediction	prediction	NOUN
brj-22938	142	5	results	result	NOUN
brj-22938	142	6	for	for	ADP
brj-22938	142	7	scots	scot	NOUN
brj-22938	142	8	pine	pine	ADJ
brj-22938	142	9	r2	r2	PROPN
brj-22938	142	10	rmse	rmse	NOUN
brj-22938	142	11	(	(	PUNCT
brj-22938	142	12	mpa	mpa	PROPN
brj-22938	142	13	)	)	PUNCT
brj-22938	142	14	scenario	scenario	NOUN
brj-22938	142	15	average	average	ADJ
brj-22938	142	16	median	median	PROPN
brj-22938	142	17	sd	sd	ADP
brj-22938	142	18	average	average	ADJ
brj-22938	142	19	median	median	PROPN
brj-22938	142	20	sd	sd	ADP
brj-22938	142	21	3d	3d	PROPN
brj-22938	142	22	-0.10	-0.10	NUM
brj-22938	142	23	0.23	0.23	NUM
brj-22938	142	24	0.58	0.58	NUM
brj-22938	142	25	9.6	9.6	NUM
brj-22938	142	26	9.9	9.9	NUM
brj-22938	142	27	1.4	1.4	NUM
brj-22938	142	28	3dx	3dx	ADJ
brj-22938	142	29	0.55	0.55	NUM
brj-22938	142	30	0.60	0.60	NUM
brj-22938	142	31	0.27	0.27	NUM
brj-22938	142	32	6.2	6.2	NUM
brj-22938	142	33	6.5	6.5	NUM
brj-22938	142	34	0.78	0.78	NUM
brj-22938	142	35	bs	bs	NOUN
brj-22938	142	36	0.55	0.55	NUM
brj-22938	142	37	0.57	0.57	NUM
brj-22938	142	38	0.12	0.12	NUM
brj-22938	142	39	7.4	7.4	NUM
brj-22938	142	40	7.5	7.5	NUM
brj-22938	142	41	0.74	0.74	NUM
brj-22938	142	42	bs3dx	bs3dx	NUM
brj-22938	142	43	0.59	0.59	NUM
brj-22938	142	44	0.63	0.63	NUM
brj-22938	142	45	0.093	0.093	NUM
brj-22938	142	46	7.1	7.1	NUM
brj-22938	142	47	7.2	7.2	NUM
brj-22938	142	48	1.1	1.1	NUM
brj-22938	142	49	rmse	rmse	NOUN
brj-22938	143	1	=	=	SYM
brj-22938	143	2	root	root	NOUN
brj-22938	143	3	mean	mean	VERB
brj-22938	143	4	square	square	NOUN
brj-22938	143	5	error	error	NOUN
brj-22938	143	6	.	.	PUNCT
brj-22938	144	1	sd	sd	NOUN
brj-22938	144	2	=	=	PUNCT
brj-22938	144	3	standard	standard	ADJ
brj-22938	144	4	deviation	deviation	NOUN
brj-22938	144	5	.	.	PUNCT
brj-22938	145	1	the	the	DET
brj-22938	145	2	numbers	number	NOUN
brj-22938	145	3	were	be	AUX
brj-22938	145	4	calculated	calculate	VERB
brj-22938	145	5	for	for	ADP
brj-22938	145	6	ten	ten	NUM
brj-22938	145	7	permutations	permutation	NOUN
brj-22938	145	8	of	of	ADP
brj-22938	145	9	different	different	ADJ
brj-22938	145	10	trainingand	trainingand	NOUN
brj-22938	145	11	test	test	NOUN
brj-22938	145	12	sets	set	NOUN
brj-22938	145	13	.	.	PUNCT
brj-22938	146	1	individual	individual	ADJ
brj-22938	146	2	observations	observation	NOUN
brj-22938	146	3	of	of	ADP
brj-22938	146	4	strength	strength	NOUN
brj-22938	146	5	and	and	CCONJ
brj-22938	146	6	the	the	DET
brj-22938	146	7	model	model	NOUN
brj-22938	146	8	predicted	predict	VERB
brj-22938	146	9	values	value	NOUN
brj-22938	146	10	for	for	ADP
brj-22938	146	11	boards	board	NOUN
brj-22938	146	12	and	and	CCONJ
brj-22938	146	13	logs	log	NOUN
brj-22938	146	14	are	be	AUX
brj-22938	146	15	presented	present	VERB
brj-22938	146	16	in	in	ADP
brj-22938	146	17	figs	fig	NOUN
brj-22938	146	18	.	.	PUNCT
brj-22938	147	1	3	3	NUM
brj-22938	147	2	and	and	CCONJ
brj-22938	147	3	4	4	NUM
brj-22938	147	4	.	.	X
brj-22938	148	1	a	a	DET
brj-22938	148	2	t	t	NOUN
brj-22938	148	3	-	-	PUNCT
brj-22938	148	4	test	test	NOUN
brj-22938	148	5	was	be	AUX
brj-22938	148	6	performed	perform	VERB
brj-22938	148	7	for	for	ADP
brj-22938	148	8	the	the	DET
brj-22938	148	9	slope	slope	NOUN
brj-22938	148	10	coefficient	coefficient	NOUN
brj-22938	148	11	of	of	ADP
brj-22938	148	12	the	the	DET
brj-22938	148	13	least	least	ADJ
brj-22938	148	14	squares	square	NOUN
brj-22938	148	15	linear	linear	ADJ
brj-22938	148	16	regression	regression	NOUN
brj-22938	148	17	performed	perform	VERB
brj-22938	148	18	on	on	ADP
brj-22938	148	19	each	each	PRON
brj-22938	148	20	of	of	ADP
brj-22938	148	21	the	the	DET
brj-22938	148	22	plots	plot	NOUN
brj-22938	148	23	,	,	PUNCT
brj-22938	148	24	with	with	ADP
brj-22938	148	25	the	the	DET
brj-22938	148	26	null	null	ADJ
brj-22938	148	27	hypothesis	hypothesis	NOUN
brj-22938	148	28	of	of	ADP
brj-22938	148	29	the	the	DET
brj-22938	148	30	slope	slope	NOUN
brj-22938	148	31	being	be	AUX
brj-22938	148	32	zero	zero	NUM
brj-22938	148	33	,	,	PUNCT
brj-22938	148	34	i.e.	i.e.	X
brj-22938	148	35	,	,	PUNCT
brj-22938	148	36	no	no	DET
brj-22938	148	37	significant	significant	ADJ
brj-22938	148	38	trend	trend	NOUN
brj-22938	148	39	between	between	ADP
brj-22938	148	40	observed	observed	ADJ
brj-22938	148	41	and	and	CCONJ
brj-22938	148	42	predicted	predict	VERB
brj-22938	148	43	value	value	NOUN
brj-22938	148	44	.	.	PUNCT
brj-22938	149	1	the	the	DET
brj-22938	149	2	largest	large	ADJ
brj-22938	149	3	p	p	NOUN
brj-22938	149	4	value	value	NOUN
brj-22938	149	5	found	find	VERB
brj-22938	149	6	was	be	AUX
brj-22938	149	7	3×10	3×10	NUM
brj-22938	149	8	-	-	SYM
brj-22938	149	9	8	8	NUM
brj-22938	149	10	,	,	PUNCT
brj-22938	149	11	for	for	ADP
brj-22938	149	12	the	the	DET
brj-22938	149	13	3d	3d	PROPN
brj-22938	149	14	plot	plot	NOUN
brj-22938	149	15	for	for	ADP
brj-22938	149	16	scots	scot	NOUN
brj-22938	149	17	pine	pine	NOUN
brj-22938	149	18	.	.	PUNCT
brj-22938	150	1	the	the	DET
brj-22938	150	2	results	result	NOUN
brj-22938	150	3	indicate	indicate	VERB
brj-22938	150	4	that	that	SCONJ
brj-22938	150	5	augmenting	augment	VERB
brj-22938	150	6	board	board	NOUN
brj-22938	150	7	scanner	scanner	NOUN
brj-22938	150	8	data	datum	NOUN
brj-22938	150	9	with	with	ADP
brj-22938	150	10	log	log	NOUN
brj-22938	150	11	scanner	scanner	NOUN
brj-22938	150	12	data	datum	NOUN
brj-22938	150	13	by	by	ADP
brj-22938	150	14	using	use	VERB
brj-22938	150	15	traceability	traceability	NOUN
brj-22938	150	16	can	can	AUX
brj-22938	150	17	improve	improve	VERB
brj-22938	150	18	the	the	DET
brj-22938	150	19	results	result	NOUN
brj-22938	150	20	for	for	ADP
brj-22938	150	21	strength	strength	NOUN
brj-22938	150	22	prediction	prediction	NOUN
brj-22938	150	23	.	.	PUNCT
brj-22938	151	1	r2	r2	PROPN
brj-22938	151	2	values	value	NOUN
brj-22938	151	3	are	be	AUX
brj-22938	151	4	higher	high	ADJ
brj-22938	151	5	for	for	ADP
brj-22938	151	6	the	the	DET
brj-22938	151	7	bs3dx	bs3dx	NUM
brj-22938	151	8	scenario	scenario	NOUN
brj-22938	151	9	than	than	ADP
brj-22938	151	10	the	the	DET
brj-22938	151	11	bs	bs	PROPN
brj-22938	151	12	scenario	scenario	NOUN
brj-22938	151	13	,	,	PUNCT
brj-22938	151	14	and	and	CCONJ
brj-22938	151	15	rmse	rmse	ADJ
brj-22938	151	16	values	value	NOUN
brj-22938	151	17	are	be	AUX
brj-22938	151	18	lower	low	ADJ
brj-22938	151	19	.	.	PUNCT
brj-22938	152	1	specifically	specifically	ADV
brj-22938	152	2	,	,	PUNCT
brj-22938	152	3	this	this	DET
brj-22938	152	4	type	type	NOUN
brj-22938	152	5	of	of	ADP
brj-22938	152	6	board	board	NOUN
brj-22938	152	7	scanner	scanner	NOUN
brj-22938	152	8	lacked	lack	VERB
brj-22938	152	9	sensing	sense	VERB
brj-22938	152	10	technology	technology	NOUN
brj-22938	152	11	to	to	PART
brj-22938	152	12	detect	detect	VERB
brj-22938	152	13	the	the	DET
brj-22938	152	14	wood	wood	NOUN
brj-22938	152	15	density	density	NOUN
brj-22938	152	16	–	–	PUNCT
brj-22938	152	17	adding	add	VERB
brj-22938	152	18	x	x	NOUN
brj-22938	152	19	-	-	NOUN
brj-22938	152	20	ray	ray	NOUN
brj-22938	152	21	data	datum	NOUN
brj-22938	152	22	for	for	ADP
brj-22938	152	23	the	the	DET
brj-22938	152	24	log	log	NOUN
brj-22938	152	25	meant	mean	VERB
brj-22938	152	26	that	that	SCONJ
brj-22938	152	27	density	density	NOUN
brj-22938	152	28	information	information	NOUN
brj-22938	152	29	was	be	AUX
brj-22938	152	30	available	available	ADJ
brj-22938	152	31	.	.	PUNCT
brj-22938	153	1	furthermore	furthermore	ADV
brj-22938	153	2	,	,	PUNCT
brj-22938	153	3	certain	certain	ADJ
brj-22938	153	4	log	log	NOUN
brj-22938	153	5	features	feature	NOUN
brj-22938	153	6	that	that	PRON
brj-22938	153	7	are	be	AUX
brj-22938	153	8	difficult	difficult	ADJ
brj-22938	153	9	to	to	PART
brj-22938	153	10	detect	detect	VERB
brj-22938	153	11	at	at	ADP
brj-22938	153	12	the	the	DET
brj-22938	153	13	board	board	NOUN
brj-22938	153	14	level	level	NOUN
brj-22938	153	15	improved	improve	VERB
brj-22938	153	16	the	the	DET
brj-22938	153	17	results	result	NOUN
brj-22938	153	18	,	,	PUNCT
brj-22938	153	19	such	such	ADJ
brj-22938	153	20	as	as	ADP
brj-22938	153	21	log	log	NOUN
brj-22938	153	22	type	type	NOUN
brj-22938	153	23	,	,	PUNCT
brj-22938	153	24	heartwood	heartwood	NOUN
brj-22938	153	25	content	content	NOUN
brj-22938	153	26	,	,	PUNCT
brj-22938	153	27	distance	distance	NOUN
brj-22938	153	28	between	between	ADP
brj-22938	153	29	knot	knot	ADJ
brj-22938	153	30	whorls	whorl	NOUN
brj-22938	153	31	and	and	CCONJ
brj-22938	153	32	so	so	ADV
brj-22938	153	33	on	on	ADV
brj-22938	153	34	.	.	PUNCT
brj-22938	154	1	this	this	DET
brj-22938	154	2	effect	effect	NOUN
brj-22938	154	3	was	be	AUX
brj-22938	154	4	stronger	strong	ADJ
brj-22938	154	5	for	for	ADP
brj-22938	154	6	norway	norway	NOUN
brj-22938	154	7	spruce	spruce	NOUN
brj-22938	154	8	than	than	ADP
brj-22938	154	9	for	for	ADP
brj-22938	154	10	scots	scot	NOUN
brj-22938	154	11	peer	peer	NOUN
brj-22938	154	12	-	-	PUNCT
brj-22938	154	13	reviewed	review	VERB
brj-22938	154	14	article	article	NOUN
brj-22938	154	15	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	154	16	fredriksson	fredriksson	NOUN
brj-22938	154	17	(	(	PUNCT
brj-22938	154	18	2024	2024	NUM
brj-22938	154	19	)	)	PUNCT
brj-22938	154	20	.	.	PUNCT
brj-22938	155	1	“	"	PUNCT
brj-22938	155	2	board	board	NOUN
brj-22938	155	3	strength	strength	NOUN
brj-22938	155	4	&	&	CCONJ
brj-22938	155	5	log	log	PROPN
brj-22938	155	6	data	data	PROPN
brj-22938	155	7	,	,	PUNCT
brj-22938	155	8	”	"	PUNCT
brj-22938	155	9	bioresources	bioresource	NOUN
brj-22938	155	10	19(1	19(1	NUM
brj-22938	155	11	)	)	PUNCT
brj-22938	155	12	,	,	PUNCT
brj-22938	155	13	1777	1777	NUM
brj-22938	155	14	-	-	SYM
brj-22938	155	15	1788	1788	NUM
brj-22938	155	16	.	.	PUNCT
brj-22938	156	1	1784	1784	NUM
brj-22938	156	2	pine	pine	NOUN
brj-22938	156	3	,	,	PUNCT
brj-22938	156	4	possibly	possibly	ADV
brj-22938	156	5	indicating	indicate	VERB
brj-22938	156	6	a	a	DET
brj-22938	156	7	larger	large	ADJ
brj-22938	156	8	influence	influence	NOUN
brj-22938	156	9	of	of	ADP
brj-22938	156	10	individual	individual	ADJ
brj-22938	156	11	knots	knot	NOUN
brj-22938	156	12	in	in	ADP
brj-22938	156	13	scots	scot	NOUN
brj-22938	156	14	pine	pine	VERB
brj-22938	156	15	–	–	PUNCT
brj-22938	156	16	a	a	DET
brj-22938	156	17	feature	feature	NOUN
brj-22938	156	18	that	that	PRON
brj-22938	156	19	is	be	AUX
brj-22938	156	20	possible	possible	ADJ
brj-22938	156	21	to	to	PART
brj-22938	156	22	detect	detect	VERB
brj-22938	156	23	using	use	VERB
brj-22938	156	24	board	board	NOUN
brj-22938	156	25	scanners	scanner	NOUN
brj-22938	156	26	.	.	PUNCT
brj-22938	157	1	for	for	ADP
brj-22938	157	2	prediction	prediction	NOUN
brj-22938	157	3	of	of	ADP
brj-22938	157	4	strength	strength	NOUN
brj-22938	157	5	based	base	VERB
brj-22938	157	6	on	on	ADP
brj-22938	157	7	log	log	PROPN
brj-22938	157	8	data	datum	NOUN
brj-22938	157	9	alone	alone	ADV
brj-22938	157	10	,	,	PUNCT
brj-22938	157	11	a	a	DET
brj-22938	157	12	3d	3d	NUM
brj-22938	157	13	-	-	PUNCT
brj-22938	157	14	x	x	NOUN
brj-22938	157	15	-	-	NOUN
brj-22938	157	16	ray	ray	NOUN
brj-22938	157	17	combination	combination	NOUN
brj-22938	157	18	performed	perform	VERB
brj-22938	157	19	well	well	ADV
brj-22938	157	20	enough	enough	ADV
brj-22938	157	21	to	to	PART
brj-22938	157	22	potentially	potentially	ADV
brj-22938	157	23	be	be	AUX
brj-22938	157	24	used	use	VERB
brj-22938	157	25	for	for	ADP
brj-22938	157	26	log	log	NOUN
brj-22938	157	27	presorting	presorting	NOUN
brj-22938	157	28	,	,	PUNCT
brj-22938	157	29	while	while	SCONJ
brj-22938	157	30	a	a	DET
brj-22938	157	31	3d	3d	NUM
brj-22938	157	32	scanner	scanner	NOUN
brj-22938	157	33	alone	alone	ADV
brj-22938	157	34	was	be	AUX
brj-22938	157	35	not	not	PART
brj-22938	157	36	enough	enough	ADJ
brj-22938	157	37	.	.	PUNCT
brj-22938	158	1	there	there	PRON
brj-22938	158	2	were	be	VERB
brj-22938	158	3	differences	difference	NOUN
brj-22938	158	4	between	between	ADP
brj-22938	158	5	the	the	DET
brj-22938	158	6	two	two	NUM
brj-22938	158	7	species	specie	NOUN
brj-22938	158	8	in	in	ADP
brj-22938	158	9	this	this	DET
brj-22938	158	10	study	study	NOUN
brj-22938	158	11	,	,	PUNCT
brj-22938	158	12	when	when	SCONJ
brj-22938	158	13	it	it	PRON
brj-22938	158	14	comes	come	VERB
brj-22938	158	15	to	to	ADP
brj-22938	158	16	the	the	DET
brj-22938	158	17	model	model	NOUN
brj-22938	158	18	prediction	prediction	NOUN
brj-22938	158	19	performance	performance	NOUN
brj-22938	158	20	.	.	PUNCT
brj-22938	159	1	scots	scot	NOUN
brj-22938	159	2	pine	pine	NOUN
brj-22938	159	3	models	model	NOUN
brj-22938	159	4	generally	generally	ADV
brj-22938	159	5	performed	perform	VERB
brj-22938	159	6	better	well	ADV
brj-22938	159	7	than	than	ADP
brj-22938	159	8	the	the	DET
brj-22938	159	9	corresponding	corresponding	ADJ
brj-22938	159	10	norway	norway	NOUN
brj-22938	159	11	spruce	spruce	NOUN
brj-22938	159	12	models	model	NOUN
brj-22938	159	13	.	.	PUNCT
brj-22938	160	1	the	the	DET
brj-22938	160	2	only	only	ADV
brj-22938	160	3	larger	large	ADJ
brj-22938	160	4	difference	difference	NOUN
brj-22938	160	5	between	between	ADP
brj-22938	160	6	the	the	DET
brj-22938	160	7	species	specie	NOUN
brj-22938	160	8	was	be	AUX
brj-22938	160	9	when	when	SCONJ
brj-22938	160	10	only	only	ADV
brj-22938	160	11	using	use	VERB
brj-22938	160	12	board	board	NOUN
brj-22938	160	13	scanner	scanner	NOUN
brj-22938	160	14	data	datum	NOUN
brj-22938	160	15	,	,	PUNCT
brj-22938	160	16	however	however	ADV
brj-22938	160	17	.	.	PUNCT
brj-22938	161	1	there	there	PRON
brj-22938	161	2	are	be	VERB
brj-22938	161	3	several	several	ADJ
brj-22938	161	4	possible	possible	ADJ
brj-22938	161	5	explanations	explanation	NOUN
brj-22938	161	6	for	for	ADP
brj-22938	161	7	the	the	DET
brj-22938	161	8	differences	difference	NOUN
brj-22938	161	9	.	.	PUNCT
brj-22938	162	1	one	one	NUM
brj-22938	162	2	is	be	AUX
brj-22938	162	3	the	the	DET
brj-22938	162	4	collected	collect	VERB
brj-22938	162	5	data	datum	NOUN
brj-22938	162	6	;	;	PUNCT
brj-22938	162	7	the	the	DET
brj-22938	162	8	spread	spread	NOUN
brj-22938	162	9	of	of	ADP
brj-22938	162	10	the	the	DET
brj-22938	162	11	measured	measure	VERB
brj-22938	162	12	strength	strength	NOUN
brj-22938	162	13	was	be	AUX
brj-22938	162	14	higher	high	ADJ
brj-22938	162	15	in	in	ADP
brj-22938	162	16	pine	pine	NOUN
brj-22938	162	17	than	than	ADP
brj-22938	162	18	spruce	spruce	NOUN
brj-22938	162	19	,	,	PUNCT
brj-22938	162	20	with	with	ADP
brj-22938	162	21	no	no	DET
brj-22938	162	22	spruce	spruce	NOUN
brj-22938	162	23	board	board	NOUN
brj-22938	162	24	falling	fall	VERB
brj-22938	162	25	below	below	ADP
brj-22938	162	26	20	20	NUM
brj-22938	162	27	mpa	mpa	NOUN
brj-22938	162	28	bending	bend	VERB
brj-22938	162	29	strength	strength	NOUN
brj-22938	162	30	for	for	ADP
brj-22938	162	31	instance	instance	NOUN
brj-22938	162	32	.	.	PUNCT
brj-22938	163	1	this	this	PRON
brj-22938	163	2	made	make	VERB
brj-22938	163	3	training	training	NOUN
brj-22938	163	4	of	of	ADP
brj-22938	163	5	a	a	DET
brj-22938	163	6	linear	linear	ADJ
brj-22938	163	7	model	model	NOUN
brj-22938	163	8	more	more	ADV
brj-22938	163	9	difficult	difficult	ADJ
brj-22938	163	10	.	.	PUNCT
brj-22938	164	1	one	one	NUM
brj-22938	164	2	other	other	ADJ
brj-22938	164	3	possible	possible	ADJ
brj-22938	164	4	explanation	explanation	NOUN
brj-22938	164	5	is	be	AUX
brj-22938	164	6	that	that	SCONJ
brj-22938	164	7	scots	scot	NOUN
brj-22938	164	8	pine	pine	NOUN
brj-22938	164	9	has	have	AUX
brj-22938	164	10	been	be	AUX
brj-22938	164	11	found	find	VERB
brj-22938	164	12	to	to	PART
brj-22938	164	13	have	have	VERB
brj-22938	164	14	larger	large	ADJ
brj-22938	164	15	knots	knot	NOUN
brj-22938	164	16	than	than	ADP
brj-22938	164	17	norway	norway	NOUN
brj-22938	164	18	spruce	spruce	NOUN
brj-22938	164	19	(	(	PUNCT
brj-22938	164	20	nylinder	nylinder	NOUN
brj-22938	164	21	1959	1959	NUM
brj-22938	164	22	;	;	PUNCT
brj-22938	164	23	charpentier	charpentier	PROPN
brj-22938	164	24	et	et	PROPN
brj-22938	164	25	al	al	PROPN
brj-22938	164	26	.	.	PROPN
brj-22938	164	27	2013	2013	NUM
brj-22938	164	28	)	)	PUNCT
brj-22938	164	29	,	,	PUNCT
brj-22938	164	30	so	so	SCONJ
brj-22938	164	31	knots	knot	NOUN
brj-22938	164	32	will	will	AUX
brj-22938	164	33	be	be	AUX
brj-22938	164	34	easier	easy	ADJ
brj-22938	164	35	to	to	PART
brj-22938	164	36	detect	detect	VERB
brj-22938	164	37	and	and	CCONJ
brj-22938	164	38	could	could	AUX
brj-22938	164	39	hypothetically	hypothetically	ADV
brj-22938	164	40	have	have	VERB
brj-22938	164	41	a	a	DET
brj-22938	164	42	larger	large	ADJ
brj-22938	164	43	effect	effect	NOUN
brj-22938	164	44	on	on	ADP
brj-22938	164	45	the	the	DET
brj-22938	164	46	bending	bend	VERB
brj-22938	164	47	strength	strength	NOUN
brj-22938	164	48	in	in	ADP
brj-22938	164	49	scots	scot	NOUN
brj-22938	164	50	pine	pine	NOUN
brj-22938	164	51	than	than	ADP
brj-22938	164	52	norway	norway	PROPN
brj-22938	164	53	spruce	spruce	NOUN
brj-22938	164	54	.	.	PUNCT
brj-22938	165	1	it	it	PRON
brj-22938	165	2	was	be	AUX
brj-22938	165	3	possible	possible	ADJ
brj-22938	165	4	to	to	PART
brj-22938	165	5	observe	observe	VERB
brj-22938	165	6	higher	high	ADJ
brj-22938	165	7	average	average	ADJ
brj-22938	165	8	measured	measure	VERB
brj-22938	165	9	knot	knot	NOUN
brj-22938	165	10	sizes	size	NOUN
brj-22938	165	11	in	in	ADP
brj-22938	165	12	the	the	DET
brj-22938	165	13	material	material	NOUN
brj-22938	165	14	for	for	ADP
brj-22938	165	15	scots	scot	NOUN
brj-22938	165	16	pine	pine	VERB
brj-22938	165	17	than	than	ADP
brj-22938	165	18	for	for	ADP
brj-22938	165	19	norway	norway	NOUN
brj-22938	165	20	spruce	spruce	NOUN
brj-22938	165	21	,	,	PUNCT
brj-22938	165	22	but	but	CCONJ
brj-22938	165	23	given	give	VERB
brj-22938	165	24	the	the	DET
brj-22938	165	25	limited	limited	ADJ
brj-22938	165	26	sample	sample	NOUN
brj-22938	165	27	size	size	NOUN
brj-22938	165	28	,	,	PUNCT
brj-22938	165	29	generalizations	generalization	NOUN
brj-22938	165	30	are	be	AUX
brj-22938	165	31	difficult	difficult	ADJ
brj-22938	165	32	to	to	PART
brj-22938	165	33	make	make	VERB
brj-22938	165	34	.	.	PUNCT
brj-22938	166	1	fig	fig	NOUN
brj-22938	166	2	.	.	PUNCT
brj-22938	167	1	3	3	X
brj-22938	167	2	.	.	X
brj-22938	167	3	scatter	scatter	NOUN
brj-22938	167	4	plots	plot	NOUN
brj-22938	167	5	of	of	ADP
brj-22938	167	6	observed	observed	ADJ
brj-22938	167	7	and	and	CCONJ
brj-22938	167	8	predicted	predict	VERB
brj-22938	167	9	values	value	NOUN
brj-22938	167	10	of	of	ADP
brj-22938	167	11	bending	bend	VERB
brj-22938	167	12	strength	strength	NOUN
brj-22938	167	13	of	of	ADP
brj-22938	167	14	norway	norway	NOUN
brj-22938	167	15	spruce	spruce	NOUN
brj-22938	167	16	boards	board	NOUN
brj-22938	167	17	,	,	PUNCT
brj-22938	167	18	for	for	ADP
brj-22938	167	19	the	the	DET
brj-22938	167	20	ten	ten	NUM
brj-22938	167	21	model	model	NOUN
brj-22938	167	22	permutations	permutation	NOUN
brj-22938	167	23	used	use	VERB
brj-22938	167	24	.	.	PUNCT
brj-22938	168	1	the	the	DET
brj-22938	168	2	top	top	PROPN
brj-22938	168	3	row	row	NOUN
brj-22938	168	4	shows	show	VERB
brj-22938	168	5	data	datum	NOUN
brj-22938	168	6	for	for	ADP
brj-22938	168	7	logs	log	NOUN
brj-22938	168	8	which	which	PRON
brj-22938	168	9	means	mean	VERB
brj-22938	168	10	that	that	SCONJ
brj-22938	168	11	average	average	ADJ
brj-22938	168	12	strength	strength	NOUN
brj-22938	168	13	values	value	NOUN
brj-22938	168	14	for	for	ADP
brj-22938	168	15	the	the	DET
brj-22938	168	16	two	two	NUM
brj-22938	168	17	sawn	sawn	NOUN
brj-22938	168	18	center	center	NOUN
brj-22938	168	19	boards	board	NOUN
brj-22938	168	20	have	have	AUX
brj-22938	168	21	been	be	AUX
brj-22938	168	22	used	use	VERB
brj-22938	168	23	,	,	PUNCT
brj-22938	168	24	while	while	SCONJ
brj-22938	168	25	the	the	DET
brj-22938	168	26	bottom	bottom	NOUN
brj-22938	168	27	row	row	NOUN
brj-22938	168	28	shows	show	VERB
brj-22938	168	29	individual	individual	ADJ
brj-22938	168	30	board	board	PROPN
brj-22938	168	31	data	datum	NOUN
brj-22938	168	32	.	.	PUNCT
brj-22938	169	1	the	the	DET
brj-22938	169	2	title	title	NOUN
brj-22938	169	3	of	of	ADP
brj-22938	169	4	each	each	DET
brj-22938	169	5	plot	plot	NOUN
brj-22938	169	6	describes	describe	VERB
brj-22938	169	7	the	the	DET
brj-22938	169	8	scenario	scenario	NOUN
brj-22938	169	9	i.e.	i.e.	X
brj-22938	169	10	,	,	PUNCT
brj-22938	169	11	which	which	PRON
brj-22938	169	12	data	data	VERB
brj-22938	169	13	source	source	NOUN
brj-22938	169	14	or	or	CCONJ
brj-22938	169	15	combination	combination	NOUN
brj-22938	169	16	of	of	ADP
brj-22938	169	17	data	datum	NOUN
brj-22938	169	18	sources	source	NOUN
brj-22938	169	19	that	that	PRON
brj-22938	169	20	was	be	AUX
brj-22938	169	21	used	use	VERB
brj-22938	169	22	.	.	PUNCT
brj-22938	170	1	rmse	rmse	PROPN
brj-22938	170	2	for	for	ADP
brj-22938	170	3	the	the	DET
brj-22938	170	4	plots	plot	NOUN
brj-22938	170	5	are	be	AUX
brj-22938	170	6	for	for	ADP
brj-22938	170	7	3d	3d	PROPN
brj-22938	170	8	8.4	8.4	NUM
brj-22938	170	9	,	,	PUNCT
brj-22938	170	10	3dx	3dx	NOUN
brj-22938	170	11	6.9	6.9	NUM
brj-22938	170	12	,	,	PUNCT
brj-22938	170	13	bs	bs	PROPN
brj-22938	170	14	7.8	7.8	NUM
brj-22938	170	15	and	and	CCONJ
brj-22938	170	16	bs3dx	bs3dx	NUM
brj-22938	170	17	6.7	6.7	NUM
brj-22938	170	18	.	.	PUNCT
brj-22938	171	1	peer	peer	NOUN
brj-22938	171	2	-	-	PUNCT
brj-22938	171	3	reviewed	review	VERB
brj-22938	171	4	article	article	NOUN
brj-22938	171	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	171	6	fredriksson	fredriksson	NOUN
brj-22938	171	7	(	(	PUNCT
brj-22938	171	8	2024	2024	NUM
brj-22938	171	9	)	)	PUNCT
brj-22938	171	10	.	.	PUNCT
brj-22938	172	1	“	"	PUNCT
brj-22938	172	2	board	board	NOUN
brj-22938	172	3	strength	strength	NOUN
brj-22938	172	4	&	&	CCONJ
brj-22938	172	5	log	log	PROPN
brj-22938	172	6	data	data	PROPN
brj-22938	172	7	,	,	PUNCT
brj-22938	172	8	”	"	PUNCT
brj-22938	172	9	bioresources	bioresource	NOUN
brj-22938	172	10	19(1	19(1	NUM
brj-22938	172	11	)	)	PUNCT
brj-22938	172	12	,	,	PUNCT
brj-22938	172	13	1777	1777	NUM
brj-22938	172	14	-	-	SYM
brj-22938	172	15	1788	1788	NUM
brj-22938	172	16	.	.	PUNCT
brj-22938	172	17	1785	1785	NUM
brj-22938	173	1	the	the	DET
brj-22938	173	2	limited	limit	VERB
brj-22938	173	3	amount	amount	NOUN
brj-22938	173	4	of	of	ADP
brj-22938	173	5	data	datum	NOUN
brj-22938	173	6	used	use	VERB
brj-22938	173	7	for	for	ADP
brj-22938	173	8	training	training	NOUN
brj-22938	173	9	in	in	ADP
brj-22938	173	10	this	this	DET
brj-22938	173	11	study	study	NOUN
brj-22938	173	12	mean	mean	VERB
brj-22938	173	13	that	that	SCONJ
brj-22938	173	14	the	the	DET
brj-22938	173	15	model	model	NOUN
brj-22938	173	16	prediction	prediction	NOUN
brj-22938	173	17	strength	strength	NOUN
brj-22938	173	18	is	be	AUX
brj-22938	173	19	potentially	potentially	ADV
brj-22938	173	20	lower	low	ADJ
brj-22938	173	21	than	than	SCONJ
brj-22938	173	22	would	would	AUX
brj-22938	173	23	be	be	AUX
brj-22938	173	24	the	the	DET
brj-22938	173	25	case	case	NOUN
brj-22938	173	26	if	if	SCONJ
brj-22938	173	27	training	training	NOUN
brj-22938	173	28	was	be	AUX
brj-22938	173	29	done	do	VERB
brj-22938	173	30	on	on	ADP
brj-22938	173	31	a	a	DET
brj-22938	173	32	larger	large	ADJ
brj-22938	173	33	set	set	NOUN
brj-22938	173	34	,	,	PUNCT
brj-22938	173	35	which	which	PRON
brj-22938	173	36	would	would	AUX
brj-22938	173	37	probably	probably	ADV
brj-22938	173	38	be	be	AUX
brj-22938	173	39	the	the	DET
brj-22938	173	40	case	case	NOUN
brj-22938	173	41	if	if	SCONJ
brj-22938	173	42	this	this	PRON
brj-22938	173	43	was	be	AUX
brj-22938	173	44	to	to	PART
brj-22938	173	45	be	be	AUX
brj-22938	173	46	done	do	VERB
brj-22938	173	47	for	for	ADP
brj-22938	173	48	an	an	DET
brj-22938	173	49	industrial	industrial	ADJ
brj-22938	173	50	application	application	NOUN
brj-22938	173	51	.	.	PUNCT
brj-22938	174	1	however	however	ADV
brj-22938	174	2	,	,	PUNCT
brj-22938	174	3	comparisons	comparison	NOUN
brj-22938	174	4	between	between	ADP
brj-22938	174	5	the	the	DET
brj-22938	174	6	different	different	ADJ
brj-22938	174	7	methods	method	NOUN
brj-22938	174	8	and	and	CCONJ
brj-22938	174	9	scanning	scan	VERB
brj-22938	174	10	technologies	technology	NOUN
brj-22938	174	11	are	be	AUX
brj-22938	174	12	still	still	ADV
brj-22938	174	13	valid	valid	ADJ
brj-22938	174	14	and	and	CCONJ
brj-22938	174	15	any	any	DET
brj-22938	174	16	models	model	NOUN
brj-22938	174	17	based	base	VERB
brj-22938	174	18	on	on	ADP
brj-22938	174	19	more	more	ADJ
brj-22938	174	20	data	datum	NOUN
brj-22938	174	21	can	can	AUX
brj-22938	174	22	be	be	AUX
brj-22938	174	23	expected	expect	VERB
brj-22938	174	24	to	to	PART
brj-22938	174	25	perform	perform	VERB
brj-22938	174	26	equally	equally	ADV
brj-22938	174	27	well	well	ADV
brj-22938	174	28	or	or	CCONJ
brj-22938	174	29	better	well	ADJ
brj-22938	174	30	.	.	PUNCT
brj-22938	175	1	there	there	PRON
brj-22938	175	2	was	be	VERB
brj-22938	175	3	a	a	DET
brj-22938	175	4	large	large	ADJ
brj-22938	175	5	difference	difference	NOUN
brj-22938	175	6	between	between	ADP
brj-22938	175	7	the	the	DET
brj-22938	175	8	median	median	ADJ
brj-22938	175	9	and	and	CCONJ
brj-22938	175	10	average	average	ADJ
brj-22938	175	11	r2	r2	NOUN
brj-22938	175	12	for	for	ADP
brj-22938	175	13	the	the	DET
brj-22938	175	14	spruce	spruce	NOUN
brj-22938	175	15	prediction	prediction	NOUN
brj-22938	175	16	results	result	NOUN
brj-22938	175	17	using	use	VERB
brj-22938	175	18	log	log	NOUN
brj-22938	175	19	data	datum	NOUN
brj-22938	175	20	,	,	PUNCT
brj-22938	175	21	indicating	indicate	VERB
brj-22938	175	22	that	that	SCONJ
brj-22938	175	23	there	there	PRON
brj-22938	175	24	was	be	VERB
brj-22938	175	25	a	a	DET
brj-22938	175	26	small	small	ADJ
brj-22938	175	27	number	number	NOUN
brj-22938	175	28	of	of	ADP
brj-22938	175	29	repetitions	repetition	NOUN
brj-22938	175	30	with	with	ADP
brj-22938	175	31	a	a	DET
brj-22938	175	32	very	very	ADV
brj-22938	175	33	low	low	ADJ
brj-22938	175	34	prediction	prediction	NOUN
brj-22938	175	35	strength	strength	NOUN
brj-22938	175	36	compared	compare	VERB
brj-22938	175	37	to	to	ADP
brj-22938	175	38	the	the	DET
brj-22938	175	39	others	other	NOUN
brj-22938	175	40	,	,	PUNCT
brj-22938	175	41	which	which	PRON
brj-22938	175	42	possibly	possibly	ADV
brj-22938	175	43	can	can	AUX
brj-22938	175	44	be	be	AUX
brj-22938	175	45	attributed	attribute	VERB
brj-22938	175	46	to	to	ADP
brj-22938	175	47	a	a	DET
brj-22938	175	48	few	few	ADJ
brj-22938	175	49	individual	individual	ADJ
brj-22938	175	50	logs	log	NOUN
brj-22938	175	51	that	that	PRON
brj-22938	175	52	contain	contain	VERB
brj-22938	175	53	features	feature	NOUN
brj-22938	175	54	not	not	PART
brj-22938	175	55	included	include	VERB
brj-22938	175	56	in	in	ADP
brj-22938	175	57	the	the	DET
brj-22938	175	58	prediction	prediction	NOUN
brj-22938	175	59	set	set	NOUN
brj-22938	175	60	.	.	PUNCT
brj-22938	176	1	this	this	PRON
brj-22938	176	2	is	be	AUX
brj-22938	176	3	also	also	ADV
brj-22938	176	4	indicated	indicate	VERB
brj-22938	176	5	by	by	ADP
brj-22938	176	6	the	the	DET
brj-22938	176	7	higher	high	ADJ
brj-22938	176	8	standard	standard	ADJ
brj-22938	176	9	deviation	deviation	NOUN
brj-22938	176	10	for	for	ADP
brj-22938	176	11	the	the	DET
brj-22938	176	12	r2	r2	NOUN
brj-22938	176	13	compared	compare	VERB
brj-22938	176	14	to	to	ADP
brj-22938	176	15	other	other	ADJ
brj-22938	176	16	models	model	NOUN
brj-22938	176	17	,	,	PUNCT
brj-22938	176	18	and	and	CCONJ
brj-22938	176	19	a	a	DET
brj-22938	176	20	couple	couple	NOUN
brj-22938	176	21	of	of	ADP
brj-22938	176	22	outliers	outlier	NOUN
brj-22938	176	23	can	can	AUX
brj-22938	176	24	be	be	AUX
brj-22938	176	25	seen	see	VERB
brj-22938	176	26	in	in	ADP
brj-22938	176	27	the	the	DET
brj-22938	176	28	fig	fig	NOUN
brj-22938	176	29	.	.	PUNCT
brj-22938	177	1	3	3	NUM
brj-22938	177	2	3dx	3dx	ADJ
brj-22938	177	3	plot	plot	NOUN
brj-22938	177	4	.	.	PUNCT
brj-22938	178	1	with	with	ADP
brj-22938	178	2	a	a	DET
brj-22938	178	3	larger	large	ADJ
brj-22938	178	4	training	training	NOUN
brj-22938	178	5	set	set	NOUN
brj-22938	178	6	,	,	PUNCT
brj-22938	178	7	this	this	DET
brj-22938	178	8	situation	situation	NOUN
brj-22938	178	9	could	could	AUX
brj-22938	178	10	hypothetically	hypothetically	ADV
brj-22938	178	11	be	be	AUX
brj-22938	178	12	avoided	avoid	VERB
brj-22938	178	13	.	.	PUNCT
brj-22938	179	1	the	the	DET
brj-22938	179	2	fact	fact	NOUN
brj-22938	179	3	that	that	SCONJ
brj-22938	179	4	logs	log	NOUN
brj-22938	179	5	were	be	AUX
brj-22938	179	6	taken	take	VERB
brj-22938	179	7	from	from	ADP
brj-22938	179	8	a	a	DET
brj-22938	179	9	specific	specific	ADJ
brj-22938	179	10	diameter	diameter	NOUN
brj-22938	179	11	interval	interval	NOUN
brj-22938	179	12	can	can	AUX
brj-22938	179	13	affect	affect	VERB
brj-22938	179	14	the	the	DET
brj-22938	179	15	results	result	NOUN
brj-22938	179	16	,	,	PUNCT
brj-22938	179	17	since	since	SCONJ
brj-22938	179	18	the	the	DET
brj-22938	179	19	variation	variation	NOUN
brj-22938	179	20	in	in	ADP
brj-22938	179	21	size	size	NOUN
brj-22938	179	22	is	be	AUX
brj-22938	179	23	lower	low	ADJ
brj-22938	179	24	than	than	SCONJ
brj-22938	179	25	if	if	SCONJ
brj-22938	179	26	a	a	DET
brj-22938	179	27	completely	completely	ADV
brj-22938	179	28	random	random	ADJ
brj-22938	179	29	set	set	NOUN
brj-22938	179	30	of	of	ADP
brj-22938	179	31	logs	log	NOUN
brj-22938	179	32	were	be	AUX
brj-22938	179	33	used	use	VERB
brj-22938	179	34	.	.	PUNCT
brj-22938	180	1	larger	large	ADJ
brj-22938	180	2	logs	log	NOUN
brj-22938	180	3	in	in	ADP
brj-22938	180	4	many	many	ADJ
brj-22938	180	5	cases	case	NOUN
brj-22938	180	6	mean	mean	VERB
brj-22938	180	7	butt	butt	NOUN
brj-22938	180	8	logs	log	VERB
brj-22938	180	9	with	with	ADP
brj-22938	180	10	a	a	DET
brj-22938	180	11	different	different	ADJ
brj-22938	180	12	structure	structure	NOUN
brj-22938	180	13	than	than	ADP
brj-22938	180	14	for	for	ADP
brj-22938	180	15	instance	instance	NOUN
brj-22938	180	16	top	top	ADJ
brj-22938	180	17	logs	log	NOUN
brj-22938	180	18	,	,	PUNCT
brj-22938	180	19	which	which	PRON
brj-22938	180	20	are	be	AUX
brj-22938	180	21	smaller	small	ADJ
brj-22938	180	22	on	on	ADP
brj-22938	180	23	average	average	ADJ
brj-22938	180	24	.	.	PUNCT
brj-22938	181	1	however	however	ADV
brj-22938	181	2	,	,	PUNCT
brj-22938	181	3	it	it	PRON
brj-22938	181	4	is	be	AUX
brj-22938	181	5	entirely	entirely	ADV
brj-22938	181	6	possible	possible	ADJ
brj-22938	181	7	to	to	PART
brj-22938	181	8	use	use	VERB
brj-22938	181	9	different	different	ADJ
brj-22938	181	10	models	model	NOUN
brj-22938	181	11	for	for	ADP
brj-22938	181	12	different	different	ADJ
brj-22938	181	13	log	log	NOUN
brj-22938	181	14	classes	class	NOUN
brj-22938	181	15	also	also	ADV
brj-22938	181	16	in	in	ADP
brj-22938	181	17	practice	practice	NOUN
brj-22938	181	18	.	.	PUNCT
brj-22938	182	1	fig	fig	NOUN
brj-22938	182	2	.	.	PUNCT
brj-22938	183	1	4	4	X
brj-22938	183	2	.	.	X
brj-22938	183	3	scatter	scatter	NOUN
brj-22938	183	4	plots	plot	NOUN
brj-22938	183	5	of	of	ADP
brj-22938	183	6	observed	observed	ADJ
brj-22938	183	7	and	and	CCONJ
brj-22938	183	8	predicted	predict	VERB
brj-22938	183	9	values	value	NOUN
brj-22938	183	10	of	of	ADP
brj-22938	183	11	bending	bend	VERB
brj-22938	183	12	strength	strength	NOUN
brj-22938	183	13	of	of	ADP
brj-22938	183	14	scots	scot	NOUN
brj-22938	183	15	pine	pine	NOUN
brj-22938	183	16	boards	board	NOUN
brj-22938	183	17	,	,	PUNCT
brj-22938	183	18	for	for	ADP
brj-22938	183	19	the	the	DET
brj-22938	183	20	ten	ten	NUM
brj-22938	183	21	model	model	NOUN
brj-22938	183	22	permutations	permutation	NOUN
brj-22938	183	23	used	use	VERB
brj-22938	183	24	.	.	PUNCT
brj-22938	184	1	the	the	DET
brj-22938	184	2	top	top	PROPN
brj-22938	184	3	row	row	NOUN
brj-22938	184	4	shows	show	VERB
brj-22938	184	5	data	datum	NOUN
brj-22938	184	6	for	for	ADP
brj-22938	184	7	logs	log	NOUN
brj-22938	184	8	which	which	PRON
brj-22938	184	9	means	mean	VERB
brj-22938	184	10	that	that	SCONJ
brj-22938	184	11	average	average	ADJ
brj-22938	184	12	strength	strength	NOUN
brj-22938	184	13	values	value	NOUN
brj-22938	184	14	for	for	ADP
brj-22938	184	15	the	the	DET
brj-22938	184	16	two	two	NUM
brj-22938	184	17	sawn	sawn	NOUN
brj-22938	184	18	center	center	NOUN
brj-22938	184	19	boards	board	NOUN
brj-22938	184	20	has	have	AUX
brj-22938	184	21	been	be	AUX
brj-22938	184	22	used	use	VERB
brj-22938	184	23	,	,	PUNCT
brj-22938	184	24	while	while	SCONJ
brj-22938	184	25	the	the	DET
brj-22938	184	26	bottom	bottom	NOUN
brj-22938	184	27	row	row	NOUN
brj-22938	184	28	shows	show	VERB
brj-22938	184	29	individual	individual	ADJ
brj-22938	184	30	board	board	PROPN
brj-22938	184	31	data	datum	NOUN
brj-22938	184	32	.	.	PUNCT
brj-22938	185	1	the	the	DET
brj-22938	185	2	title	title	NOUN
brj-22938	185	3	of	of	ADP
brj-22938	185	4	each	each	DET
brj-22938	185	5	plot	plot	NOUN
brj-22938	185	6	describes	describe	VERB
brj-22938	185	7	the	the	DET
brj-22938	185	8	scenario	scenario	NOUN
brj-22938	185	9	i.e.	i.e.	X
brj-22938	185	10	,	,	PUNCT
brj-22938	185	11	which	which	PRON
brj-22938	185	12	data	data	VERB
brj-22938	185	13	source	source	NOUN
brj-22938	185	14	or	or	CCONJ
brj-22938	185	15	combination	combination	NOUN
brj-22938	185	16	of	of	ADP
brj-22938	185	17	data	datum	NOUN
brj-22938	185	18	sources	source	NOUN
brj-22938	185	19	that	that	PRON
brj-22938	185	20	was	be	AUX
brj-22938	185	21	used	use	VERB
brj-22938	185	22	.	.	PUNCT
brj-22938	186	1	rmse	rmse	PROPN
brj-22938	186	2	for	for	ADP
brj-22938	186	3	the	the	DET
brj-22938	186	4	plots	plot	NOUN
brj-22938	186	5	are	be	AUX
brj-22938	186	6	for	for	ADP
brj-22938	186	7	3d	3d	PROPN
brj-22938	186	8	9.6	9.6	NUM
brj-22938	186	9	,	,	PUNCT
brj-22938	186	10	3dx	3dx	ADJ
brj-22938	186	11	6.2	6.2	NUM
brj-22938	186	12	,	,	PUNCT
brj-22938	186	13	bs	bs	NOUN
brj-22938	186	14	7.4	7.4	NUM
brj-22938	186	15	and	and	CCONJ
brj-22938	186	16	bs3dx	bs3dx	NUM
brj-22938	186	17	7.2	7.2	NUM
brj-22938	186	18	.	.	PUNCT
brj-22938	187	1	peer	peer	NOUN
brj-22938	187	2	-	-	PUNCT
brj-22938	187	3	reviewed	review	VERB
brj-22938	187	4	article	article	NOUN
brj-22938	187	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	187	6	fredriksson	fredriksson	NOUN
brj-22938	187	7	(	(	PUNCT
brj-22938	187	8	2024	2024	NUM
brj-22938	187	9	)	)	PUNCT
brj-22938	187	10	.	.	PUNCT
brj-22938	188	1	“	"	PUNCT
brj-22938	188	2	board	board	NOUN
brj-22938	188	3	strength	strength	NOUN
brj-22938	188	4	&	&	CCONJ
brj-22938	188	5	log	log	PROPN
brj-22938	188	6	data	data	PROPN
brj-22938	188	7	,	,	PUNCT
brj-22938	188	8	”	"	PUNCT
brj-22938	188	9	bioresources	bioresource	NOUN
brj-22938	188	10	19(1	19(1	NUM
brj-22938	188	11	)	)	PUNCT
brj-22938	188	12	,	,	PUNCT
brj-22938	188	13	1777	1777	NUM
brj-22938	188	14	-	-	SYM
brj-22938	188	15	1788	1788	NUM
brj-22938	188	16	.	.	PUNCT
brj-22938	188	17	1786	1786	NUM
brj-22938	188	18	for	for	ADP
brj-22938	188	19	the	the	DET
brj-22938	188	20	variable	variable	ADJ
brj-22938	188	21	reduction	reduction	NOUN
brj-22938	188	22	,	,	PUNCT
brj-22938	188	23	the	the	DET
brj-22938	188	24	choice	choice	NOUN
brj-22938	188	25	of	of	ADP
brj-22938	188	26	doing	do	VERB
brj-22938	188	27	a	a	DET
brj-22938	188	28	flat	flat	ADJ
brj-22938	188	29	reduction	reduction	NOUN
brj-22938	188	30	down	down	ADP
brj-22938	188	31	to	to	ADP
brj-22938	188	32	thirty	thirty	NUM
brj-22938	188	33	or	or	CCONJ
brj-22938	188	34	ten	ten	NUM
brj-22938	188	35	predictor	predictor	NOUN
brj-22938	188	36	variables	variable	NOUN
brj-22938	188	37	can	can	AUX
brj-22938	188	38	be	be	AUX
brj-22938	188	39	discussed	discuss	VERB
brj-22938	188	40	.	.	PUNCT
brj-22938	189	1	given	give	VERB
brj-22938	189	2	the	the	DET
brj-22938	189	3	time	time	NOUN
brj-22938	189	4	constraints	constraint	NOUN
brj-22938	189	5	of	of	ADP
brj-22938	189	6	the	the	DET
brj-22938	189	7	project	project	NOUN
brj-22938	189	8	,	,	PUNCT
brj-22938	189	9	software	software	NOUN
brj-22938	189	10	limitations	limitation	NOUN
brj-22938	189	11	,	,	PUNCT
brj-22938	189	12	number	number	NOUN
brj-22938	189	13	of	of	ADP
brj-22938	189	14	variables	variable	NOUN
brj-22938	189	15	,	,	PUNCT
brj-22938	189	16	and	and	CCONJ
brj-22938	189	17	the	the	DET
brj-22938	189	18	need	need	NOUN
brj-22938	189	19	to	to	PART
brj-22938	189	20	develop	develop	VERB
brj-22938	189	21	several	several	ADJ
brj-22938	189	22	different	different	ADJ
brj-22938	189	23	prediction	prediction	NOUN
brj-22938	189	24	models	model	NOUN
brj-22938	189	25	,	,	PUNCT
brj-22938	189	26	this	this	DET
brj-22938	189	27	strategy	strategy	NOUN
brj-22938	189	28	was	be	AUX
brj-22938	189	29	selected	select	VERB
brj-22938	189	30	to	to	PART
brj-22938	189	31	be	be	AUX
brj-22938	189	32	able	able	ADJ
brj-22938	189	33	to	to	PART
brj-22938	189	34	finalize	finalize	VERB
brj-22938	189	35	the	the	DET
brj-22938	189	36	models	model	NOUN
brj-22938	189	37	on	on	ADP
brj-22938	189	38	time	time	NOUN
brj-22938	189	39	.	.	PUNCT
brj-22938	190	1	it	it	PRON
brj-22938	190	2	is	be	AUX
brj-22938	190	3	entirely	entirely	ADV
brj-22938	190	4	possible	possible	ADJ
brj-22938	190	5	to	to	PART
brj-22938	190	6	do	do	VERB
brj-22938	190	7	a	a	DET
brj-22938	190	8	manual	manual	ADJ
brj-22938	190	9	variable	variable	ADJ
brj-22938	190	10	reduction	reduction	NOUN
brj-22938	190	11	based	base	VERB
brj-22938	190	12	on	on	ADP
brj-22938	190	13	maximizing	maximize	VERB
brj-22938	190	14	the	the	DET
brj-22938	190	15	q2	q2	NOUN
brj-22938	190	16	value	value	NOUN
brj-22938	190	17	,	,	PUNCT
brj-22938	190	18	such	such	ADJ
brj-22938	190	19	as	as	ADP
brj-22938	190	20	in	in	ADP
brj-22938	190	21	johansson	johansson	PROPN
brj-22938	190	22	et	et	PROPN
brj-22938	190	23	al	al	PROPN
brj-22938	190	24	.	.	PROPN
brj-22938	191	1	(	(	PUNCT
brj-22938	191	2	2016	2016	NUM
brj-22938	191	3	)	)	PUNCT
brj-22938	191	4	,	,	PUNCT
brj-22938	191	5	which	which	PRON
brj-22938	191	6	might	might	AUX
brj-22938	191	7	produce	produce	VERB
brj-22938	191	8	better	well	ADJ
brj-22938	191	9	results	result	NOUN
brj-22938	191	10	in	in	ADP
brj-22938	191	11	the	the	DET
brj-22938	191	12	end	end	NOUN
brj-22938	191	13	but	but	CCONJ
brj-22938	191	14	be	be	AUX
brj-22938	191	15	more	more	ADJ
brj-22938	191	16	time	time	NOUN
brj-22938	191	17	consuming	consume	VERB
brj-22938	191	18	.	.	PUNCT
brj-22938	192	1	the	the	DET
brj-22938	192	2	results	result	NOUN
brj-22938	192	3	presented	present	VERB
brj-22938	192	4	by	by	ADP
brj-22938	192	5	johansson	johansson	PROPN
brj-22938	192	6	et	et	PROPN
brj-22938	192	7	al	al	PROPN
brj-22938	192	8	.	.	PROPN
brj-22938	193	1	(	(	PUNCT
brj-22938	193	2	2016	2016	NUM
brj-22938	193	3	)	)	PUNCT
brj-22938	193	4	are	be	AUX
brj-22938	193	5	better	well	ADJ
brj-22938	193	6	than	than	ADP
brj-22938	193	7	in	in	ADP
brj-22938	193	8	the	the	DET
brj-22938	193	9	present	present	ADJ
brj-22938	193	10	study	study	NOUN
brj-22938	193	11	when	when	SCONJ
brj-22938	193	12	it	it	PRON
brj-22938	193	13	comes	come	VERB
brj-22938	193	14	to	to	ADP
brj-22938	193	15	strength	strength	NOUN
brj-22938	193	16	prediction	prediction	NOUN
brj-22938	193	17	based	base	VERB
brj-22938	193	18	on	on	ADP
brj-22938	193	19	discrete	discrete	ADJ
brj-22938	193	20	x	x	ADJ
brj-22938	193	21	-	-	NOUN
brj-22938	193	22	ray	ray	NOUN
brj-22938	193	23	scanning	scanning	NOUN
brj-22938	193	24	,	,	PUNCT
brj-22938	193	25	but	but	CCONJ
brj-22938	193	26	as	as	SCONJ
brj-22938	193	27	those	those	DET
brj-22938	193	28	authors	author	NOUN
brj-22938	193	29	point	point	VERB
brj-22938	193	30	out	out	ADP
brj-22938	193	31	,	,	PUNCT
brj-22938	193	32	they	they	PRON
brj-22938	193	33	are	be	AUX
brj-22938	193	34	wary	wary	ADJ
brj-22938	193	35	of	of	ADP
brj-22938	193	36	the	the	DET
brj-22938	193	37	small	small	ADJ
brj-22938	193	38	data	datum	NOUN
brj-22938	193	39	set	set	VERB
brj-22938	193	40	and	and	CCONJ
brj-22938	193	41	the	the	DET
brj-22938	193	42	risk	risk	NOUN
brj-22938	193	43	of	of	ADP
brj-22938	193	44	overfitting	overfitte	VERB
brj-22938	193	45	,	,	PUNCT
brj-22938	193	46	since	since	SCONJ
brj-22938	193	47	they	they	PRON
brj-22938	193	48	did	do	AUX
brj-22938	193	49	not	not	PART
brj-22938	193	50	test	test	VERB
brj-22938	193	51	their	their	PRON
brj-22938	193	52	models	model	NOUN
brj-22938	193	53	on	on	ADP
brj-22938	193	54	an	an	DET
brj-22938	193	55	external	external	ADJ
brj-22938	193	56	test	test	NOUN
brj-22938	193	57	set	set	NOUN
brj-22938	193	58	.	.	PUNCT
brj-22938	194	1	other	other	ADJ
brj-22938	194	2	studies	study	NOUN
brj-22938	194	3	include	include	VERB
brj-22938	194	4	brännström	brännström	NOUN
brj-22938	194	5	et	et	PROPN
brj-22938	194	6	al	al	PROPN
brj-22938	194	7	.	.	PUNCT
brj-22938	195	1	(	(	PUNCT
brj-22938	195	2	2007	2007	NUM
brj-22938	195	3	)	)	PUNCT
brj-22938	195	4	,	,	PUNCT
brj-22938	195	5	where	where	SCONJ
brj-22938	195	6	the	the	DET
brj-22938	195	7	results	result	NOUN
brj-22938	195	8	are	be	AUX
brj-22938	195	9	in	in	ADP
brj-22938	195	10	a	a	DET
brj-22938	195	11	similar	similar	ADJ
brj-22938	195	12	range	range	NOUN
brj-22938	195	13	as	as	ADP
brj-22938	195	14	those	those	PRON
brj-22938	195	15	presented	present	VERB
brj-22938	195	16	here	here	ADV
brj-22938	195	17	for	for	ADP
brj-22938	195	18	x	x	NOUN
brj-22938	195	19	-	-	NOUN
brj-22938	195	20	ray	ray	NOUN
brj-22938	195	21	data	datum	NOUN
brj-22938	195	22	and	and	CCONJ
brj-22938	195	23	spruce	spruce	NOUN
brj-22938	195	24	,	,	PUNCT
brj-22938	195	25	with	with	ADP
brj-22938	195	26	a	a	DET
brj-22938	195	27	better	well	ADJ
brj-22938	195	28	r2	r2	NOUN
brj-22938	195	29	and	and	CCONJ
brj-22938	195	30	a	a	DET
brj-22938	195	31	worse	bad	ADJ
brj-22938	195	32	rmse	rmse	NOUN
brj-22938	195	33	.	.	PUNCT
brj-22938	196	1	in	in	ADP
brj-22938	196	2	their	their	PRON
brj-22938	196	3	study	study	NOUN
brj-22938	196	4	,	,	PUNCT
brj-22938	196	5	only	only	ADV
brj-22938	196	6	one	one	NUM
brj-22938	196	7	iteration	iteration	NOUN
brj-22938	196	8	of	of	ADP
brj-22938	196	9	prediction	prediction	NOUN
brj-22938	196	10	set	set	VERB
brj-22938	196	11	–	–	PUNCT
brj-22938	196	12	test	test	NOUN
brj-22938	196	13	set	set	NOUN
brj-22938	196	14	was	be	AUX
brj-22938	196	15	made	make	VERB
brj-22938	196	16	.	.	PUNCT
brj-22938	197	1	those	those	DET
brj-22938	197	2	studies	study	NOUN
brj-22938	197	3	were	be	AUX
brj-22938	197	4	only	only	ADV
brj-22938	197	5	made	make	VERB
brj-22938	197	6	on	on	ADP
brj-22938	197	7	norway	norway	NOUN
brj-22938	197	8	spruce	spruce	NOUN
brj-22938	197	9	and	and	CCONJ
brj-22938	197	10	did	do	AUX
brj-22938	197	11	not	not	PART
brj-22938	197	12	include	include	VERB
brj-22938	197	13	scots	scot	NOUN
brj-22938	197	14	pine	pine	NOUN
brj-22938	197	15	.	.	PUNCT
brj-22938	198	1	conclusions	conclusion	NOUN
brj-22938	198	2	1	1	X
brj-22938	198	3	.	.	X
brj-22938	198	4	traceability	traceability	NOUN
brj-22938	198	5	within	within	ADP
brj-22938	198	6	sawmills	sawmill	NOUN
brj-22938	198	7	,	,	PUNCT
brj-22938	198	8	connecting	connect	VERB
brj-22938	198	9	log	log	NOUN
brj-22938	198	10	data	datum	NOUN
brj-22938	198	11	to	to	ADP
brj-22938	198	12	measurements	measurement	NOUN
brj-22938	198	13	of	of	ADP
brj-22938	198	14	sawn	sawn	NOUN
brj-22938	198	15	and	and	CCONJ
brj-22938	198	16	dried	dry	VERB
brj-22938	198	17	boards	board	NOUN
brj-22938	198	18	,	,	PUNCT
brj-22938	198	19	improves	improve	VERB
brj-22938	198	20	prediction	prediction	NOUN
brj-22938	198	21	models	model	NOUN
brj-22938	198	22	for	for	ADP
brj-22938	198	23	bending	bend	VERB
brj-22938	198	24	strength	strength	NOUN
brj-22938	198	25	,	,	PUNCT
brj-22938	198	26	compared	compare	VERB
brj-22938	198	27	to	to	ADP
brj-22938	198	28	using	use	VERB
brj-22938	198	29	only	only	ADJ
brj-22938	198	30	board	board	NOUN
brj-22938	198	31	data	datum	NOUN
brj-22938	198	32	.	.	PUNCT
brj-22938	199	1	the	the	DET
brj-22938	199	2	effect	effect	NOUN
brj-22938	199	3	is	be	AUX
brj-22938	199	4	considerable	considerable	ADJ
brj-22938	199	5	for	for	ADP
brj-22938	199	6	norway	norway	NOUN
brj-22938	199	7	spruce	spruce	NOUN
brj-22938	199	8	and	and	CCONJ
brj-22938	199	9	smaller	small	ADJ
brj-22938	199	10	for	for	ADP
brj-22938	199	11	scots	scot	NOUN
brj-22938	199	12	pine	pine	NOUN
brj-22938	199	13	.	.	PUNCT
brj-22938	200	1	this	this	PRON
brj-22938	200	2	is	be	AUX
brj-22938	200	3	shown	show	VERB
brj-22938	200	4	in	in	ADP
brj-22938	200	5	a	a	DET
brj-22938	200	6	comparison	comparison	NOUN
brj-22938	200	7	between	between	ADP
brj-22938	200	8	the	the	DET
brj-22938	200	9	“	"	PUNCT
brj-22938	200	10	3d	3d	NOUN
brj-22938	200	11	+	+	CCONJ
brj-22938	200	12	x	x	X
brj-22938	200	13	-	-	NOUN
brj-22938	200	14	ray	ray	NOUN
brj-22938	200	15	+	+	NUM
brj-22938	200	16	boardscanner	boardscanner	NOUN
brj-22938	200	17	”	"	PUNCT
brj-22938	200	18	(	(	PUNCT
brj-22938	200	19	bs3dx	bs3dx	NUM
brj-22938	200	20	)	)	PUNCT
brj-22938	200	21	and	and	CCONJ
brj-22938	200	22	the	the	DET
brj-22938	200	23	sole	sole	ADJ
brj-22938	200	24	reliance	reliance	NOUN
brj-22938	200	25	on	on	ADP
brj-22938	200	26	the	the	DET
brj-22938	200	27	boardscanner	boardscanner	NOUN
brj-22938	200	28	(	(	PUNCT
brj-22938	200	29	bs	bs	NOUN
brj-22938	200	30	)	)	PUNCT
brj-22938	200	31	scenarios	scenario	NOUN
brj-22938	200	32	in	in	ADP
brj-22938	200	33	this	this	DET
brj-22938	200	34	study	study	NOUN
brj-22938	200	35	,	,	PUNCT
brj-22938	200	36	in	in	ADP
brj-22938	200	37	terms	term	NOUN
brj-22938	200	38	of	of	ADP
brj-22938	200	39	root	root	NOUN
brj-22938	200	40	mean	mean	ADJ
brj-22938	200	41	square	square	ADJ
brj-22938	200	42	error	error	NOUN
brj-22938	200	43	(	(	PUNCT
brj-22938	200	44	rmse	rmse	NOUN
brj-22938	200	45	)	)	PUNCT
brj-22938	200	46	and	and	CCONJ
brj-22938	200	47	coefficient	coefficient	NOUN
brj-22938	200	48	of	of	ADP
brj-22938	200	49	determination	determination	NOUN
brj-22938	200	50	(	(	PUNCT
brj-22938	200	51	r2	r2	PROPN
brj-22938	200	52	)	)	PUNCT
brj-22938	200	53	.	.	PUNCT
brj-22938	201	1	2	2	X
brj-22938	201	2	.	.	X
brj-22938	201	3	strength	strength	NOUN
brj-22938	201	4	prediction	prediction	NOUN
brj-22938	201	5	of	of	ADP
brj-22938	201	6	scots	scot	NOUN
brj-22938	201	7	pine	pine	NOUN
brj-22938	201	8	performed	perform	VERB
brj-22938	201	9	equally	equally	ADV
brj-22938	201	10	well	well	ADV
brj-22938	201	11	or	or	CCONJ
brj-22938	201	12	better	well	ADJ
brj-22938	201	13	than	than	ADP
brj-22938	201	14	the	the	DET
brj-22938	201	15	same	same	ADJ
brj-22938	201	16	predictions	prediction	NOUN
brj-22938	201	17	on	on	ADP
brj-22938	201	18	norway	norway	PROPN
brj-22938	201	19	spruce	spruce	NOUN
brj-22938	201	20	.	.	PUNCT
brj-22938	202	1	this	this	PRON
brj-22938	202	2	is	be	AUX
brj-22938	202	3	reflected	reflect	VERB
brj-22938	202	4	in	in	ADP
brj-22938	202	5	the	the	DET
brj-22938	202	6	quantitative	quantitative	ADJ
brj-22938	202	7	evaluations	evaluation	NOUN
brj-22938	202	8	of	of	ADP
brj-22938	202	9	the	the	DET
brj-22938	202	10	prediction	prediction	NOUN
brj-22938	202	11	models	model	NOUN
brj-22938	202	12	,	,	PUNCT
brj-22938	202	13	be	be	AUX
brj-22938	202	14	it	it	PRON
brj-22938	202	15	rmse	rmse	ADJ
brj-22938	202	16	or	or	CCONJ
brj-22938	202	17	r2	r2	NOUN
brj-22938	202	18	.	.	PUNCT
brj-22938	203	1	3	3	X
brj-22938	203	2	.	.	X
brj-22938	203	3	discrete	discrete	ADJ
brj-22938	203	4	x	x	ADJ
brj-22938	203	5	-	-	NOUN
brj-22938	203	6	ray	ray	NOUN
brj-22938	203	7	scanners	scanner	NOUN
brj-22938	203	8	in	in	ADP
brj-22938	203	9	combination	combination	NOUN
brj-22938	203	10	with	with	ADP
brj-22938	203	11	three	three	NUM
brj-22938	203	12	-	-	PUNCT
brj-22938	203	13	dimensional	dimensional	ADJ
brj-22938	203	14	(	(	PUNCT
brj-22938	203	15	3d	3d	NOUN
brj-22938	203	16	)	)	PUNCT
brj-22938	203	17	scanners	scanner	NOUN
brj-22938	203	18	can	can	AUX
brj-22938	203	19	be	be	AUX
brj-22938	203	20	used	use	VERB
brj-22938	203	21	for	for	ADP
brj-22938	203	22	strength	strength	NOUN
brj-22938	203	23	sorting	sorting	NOUN
brj-22938	203	24	of	of	ADP
brj-22938	203	25	scots	scot	NOUN
brj-22938	203	26	pine	pine	NOUN
brj-22938	203	27	and	and	CCONJ
brj-22938	203	28	norway	norway	NOUN
brj-22938	203	29	spruce	spruce	NOUN
brj-22938	203	30	logs	log	NOUN
brj-22938	203	31	.	.	PUNCT
brj-22938	204	1	4	4	X
brj-22938	204	2	.	.	X
brj-22938	204	3	optical	optical	ADJ
brj-22938	204	4	3d	3d	PROPN
brj-22938	204	5	scanners	scanner	NOUN
brj-22938	204	6	of	of	ADP
brj-22938	204	7	this	this	DET
brj-22938	204	8	type	type	NOUN
brj-22938	204	9	do	do	AUX
brj-22938	204	10	not	not	PART
brj-22938	204	11	provide	provide	VERB
brj-22938	204	12	enough	enough	ADJ
brj-22938	204	13	information	information	NOUN
brj-22938	204	14	for	for	ADP
brj-22938	204	15	strength	strength	NOUN
brj-22938	204	16	sorting	sorting	NOUN
brj-22938	204	17	of	of	ADP
brj-22938	204	18	logs	log	NOUN
brj-22938	204	19	.	.	PUNCT
brj-22938	205	1	acknowledgments	acknowledgment	NOUN
brj-22938	205	2	the	the	DET
brj-22938	205	3	research	research	NOUN
brj-22938	205	4	leading	lead	VERB
brj-22938	205	5	to	to	ADP
brj-22938	205	6	these	these	DET
brj-22938	205	7	results	result	NOUN
brj-22938	205	8	has	have	AUX
brj-22938	205	9	received	receive	VERB
brj-22938	205	10	funding	funding	NOUN
brj-22938	205	11	from	from	ADP
brj-22938	205	12	the	the	DET
brj-22938	205	13	forestvalue	forestvalue	ADJ
brj-22938	205	14	research	research	NOUN
brj-22938	205	15	programme	programme	NOUN
brj-22938	205	16	which	which	PRON
brj-22938	205	17	is	be	AUX
brj-22938	205	18	a	a	DET
brj-22938	205	19	transnational	transnational	ADJ
brj-22938	205	20	research	research	NOUN
brj-22938	205	21	,	,	PUNCT
brj-22938	205	22	development	development	NOUN
brj-22938	205	23	and	and	CCONJ
brj-22938	205	24	innovation	innovation	NOUN
brj-22938	205	25	programme	programme	NOUN
brj-22938	205	26	jointly	jointly	ADV
brj-22938	205	27	funded	fund	VERB
brj-22938	205	28	by	by	ADP
brj-22938	205	29	national	national	ADJ
brj-22938	205	30	funding	funding	NOUN
brj-22938	205	31	organisations	organisation	NOUN
brj-22938	205	32	within	within	ADP
brj-22938	205	33	the	the	DET
brj-22938	205	34	framework	framework	NOUN
brj-22938	205	35	of	of	ADP
brj-22938	205	36	the	the	DET
brj-22938	205	37	era	era	NOUN
brj-22938	205	38	-	-	PUNCT
brj-22938	205	39	net	net	ADJ
brj-22938	205	40	cofund	cofund	NOUN
brj-22938	205	41	‘	'	PUNCT
brj-22938	205	42	forestvalue	forestvalue	ADJ
brj-22938	205	43	–	–	PUNCT
brj-22938	205	44	innovating	innovate	VERB
brj-22938	205	45	forest	forest	NOUN
brj-22938	205	46	-	-	PUNCT
brj-22938	205	47	based	base	VERB
brj-22938	205	48	bioeconomy	bioeconomy	NOUN
brj-22938	205	49	’	'	PUNCT
brj-22938	205	50	.	.	PUNCT
brj-22938	206	1	the	the	DET
brj-22938	206	2	author	author	NOUN
brj-22938	206	3	would	would	AUX
brj-22938	206	4	like	like	VERB
brj-22938	206	5	to	to	PART
brj-22938	206	6	thank	thank	VERB
brj-22938	206	7	the	the	DET
brj-22938	206	8	staff	staff	NOUN
brj-22938	206	9	at	at	ADP
brj-22938	206	10	the	the	DET
brj-22938	206	11	sawmills	sawmill	NOUN
brj-22938	206	12	at	at	ADP
brj-22938	206	13	stenvalls	stenvall	NOUN
brj-22938	206	14	trä	trä	PROPN
brj-22938	206	15	in	in	ADP
brj-22938	206	16	sikfors	sikfor	NOUN
brj-22938	206	17	,	,	PUNCT
brj-22938	206	18	hållanders	hållander	NOUN
brj-22938	206	19	sågverk	sågverk	VERB
brj-22938	206	20	in	in	ADP
brj-22938	206	21	dalstorp	dalstorp	NOUN
brj-22938	206	22	,	,	PUNCT
brj-22938	206	23	and	and	CCONJ
brj-22938	206	24	at	at	ADP
brj-22938	206	25	remasawco	remasawco	PROPN
brj-22938	206	26	ab	ab	PROPN
brj-22938	206	27	for	for	ADP
brj-22938	206	28	the	the	DET
brj-22938	206	29	help	help	NOUN
brj-22938	206	30	to	to	PART
brj-22938	206	31	carry	carry	VERB
brj-22938	206	32	out	out	ADP
brj-22938	206	33	this	this	DET
brj-22938	206	34	study	study	NOUN
brj-22938	206	35	,	,	PUNCT
brj-22938	206	36	by	by	ADP
brj-22938	206	37	practical	practical	ADJ
brj-22938	206	38	tasks	task	NOUN
brj-22938	206	39	such	such	ADJ
brj-22938	206	40	as	as	ADP
brj-22938	206	41	moving	move	VERB
brj-22938	206	42	material	material	NOUN
brj-22938	206	43	,	,	PUNCT
brj-22938	206	44	downloading	download	VERB
brj-22938	206	45	data	datum	NOUN
brj-22938	206	46	,	,	PUNCT
brj-22938	206	47	setting	set	VERB
brj-22938	206	48	up	up	ADP
brj-22938	206	49	equipment	equipment	NOUN
brj-22938	206	50	,	,	PUNCT
brj-22938	206	51	etc	etc	X
brj-22938	206	52	.	.	X
brj-22938	206	53	peer	peer	NOUN
brj-22938	206	54	-	-	PUNCT
brj-22938	206	55	reviewed	review	VERB
brj-22938	206	56	article	article	NOUN
brj-22938	206	57	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-22938	206	58	fredriksson	fredriksson	NOUN
brj-22938	206	59	(	(	PUNCT
brj-22938	206	60	2024	2024	NUM
brj-22938	206	61	)	)	PUNCT
brj-22938	206	62	.	.	PUNCT
brj-22938	207	1	“	"	PUNCT
brj-22938	207	2	board	board	NOUN
brj-22938	207	3	strength	strength	NOUN
brj-22938	207	4	&	&	CCONJ
brj-22938	207	5	log	log	PROPN
brj-22938	207	6	data	data	PROPN
brj-22938	207	7	,	,	PUNCT
brj-22938	207	8	”	"	PUNCT
brj-22938	207	9	bioresources	bioresource	NOUN
brj-22938	207	10	19(1	19(1	NUM
brj-22938	207	11	)	)	PUNCT
brj-22938	207	12	,	,	PUNCT
brj-22938	207	13	1777	1777	NUM
brj-22938	207	14	-	-	SYM
brj-22938	207	15	1788	1788	NUM
brj-22938	207	16	.	.	PUNCT
brj-22938	208	1	1787	1787	NUM
brj-22938	208	2	references	reference	NOUN
brj-22938	208	3	cited	cite	VERB
brj-22938	208	4	brännström	brännström	NOUN
brj-22938	208	5	,	,	PUNCT
brj-22938	208	6	m.	m.	NOUN
brj-22938	208	7	(	(	PUNCT
brj-22938	208	8	2009	2009	NUM
brj-22938	208	9	)	)	PUNCT
brj-22938	208	10	.	.	PUNCT
brj-22938	209	1	“	"	PUNCT
brj-22938	209	2	the	the	DET
brj-22938	209	3	impact	impact	NOUN
brj-22938	209	4	of	of	ADP
brj-22938	209	5	a	a	DET
brj-22938	209	6	strength	strength	NOUN
brj-22938	209	7	grading	grade	VERB
brj-22938	209	8	process	process	NOUN
brj-22938	209	9	on	on	ADP
brj-22938	209	10	sawmill	sawmill	NOUN
brj-22938	209	11	profitability	profitability	NOUN
brj-22938	209	12	and	and	CCONJ
brj-22938	209	13	product	product	NOUN
brj-22938	209	14	quality	quality	NOUN
brj-22938	209	15	,	,	PUNCT
brj-22938	209	16	”	"	PUNCT
brj-22938	209	17	bioresources	bioresource	NOUN
brj-22938	209	18	4(4	4(4	NUM
brj-22938	209	19	)	)	PUNCT
brj-22938	209	20	,	,	PUNCT
brj-22938	209	21	1430	1430	NUM
brj-22938	209	22	-	-	SYM
brj-22938	209	23	1454	1454	NUM
brj-22938	209	24	.	.	PUNCT
brj-22938	210	1	doi	doi	NOUN
brj-22938	210	2	:	:	PUNCT
brj-22938	210	3	10.15376	10.15376	NUM
brj-22938	210	4	/	/	SYM
brj-22938	210	5	biores.4.4.1430	biores.4.4.1430	NOUN
brj-22938	210	6	-	-	PUNCT
brj-22938	210	7	1454	1454	NUM
brj-22938	210	8	brännström	brännström	NOUN
brj-22938	210	9	,	,	PUNCT
brj-22938	210	10	m.	m.	NOUN
brj-22938	210	11	,	,	PUNCT
brj-22938	210	12	oja	oja	PROPN
brj-22938	210	13	,	,	PUNCT
brj-22938	210	14	j.	j.	PROPN
brj-22938	210	15	,	,	PUNCT
brj-22938	210	16	and	and	CCONJ
brj-22938	210	17	grönlund	grönlund	NOUN
brj-22938	210	18	,	,	PUNCT
brj-22938	210	19	a.	a.	NOUN
brj-22938	210	20	(	(	PUNCT
brj-22938	210	21	2007	2007	NUM
brj-22938	210	22	)	)	PUNCT
brj-22938	210	23	.	.	PUNCT
brj-22938	211	1	“	"	PUNCT
brj-22938	211	2	predicting	predict	VERB
brj-22938	211	3	board	board	NOUN
brj-22938	211	4	strength	strength	NOUN
brj-22938	211	5	by	by	ADP
brj-22938	211	6	x	x	NOUN
brj-22938	211	7	-	-	NOUN
brj-22938	211	8	ray	ray	NOUN
brj-22938	211	9	scanning	scanning	NOUN
brj-22938	211	10	of	of	ADP
brj-22938	211	11	logs	log	NOUN
brj-22938	211	12	:	:	PUNCT
brj-22938	211	13	the	the	DET
brj-22938	211	14	impact	impact	NOUN
brj-22938	211	15	of	of	ADP
brj-22938	211	16	different	different	ADJ
brj-22938	211	17	measurement	measurement	NOUN
brj-22938	211	18	concepts	concept	NOUN
brj-22938	211	19	,	,	PUNCT
brj-22938	211	20	”	"	PUNCT
brj-22938	211	21	scand	scand	PROPN
brj-22938	211	22	.	.	PUNCT
brj-22938	212	1	j.	j.	PROPN
brj-22938	212	2	for	for	PROPN
brj-22938	212	3	.	.	PUNCT
brj-22938	213	1	res	re	NOUN
brj-22938	213	2	.	.	PUNCT
brj-22938	214	1	22(1	22(1	NUM
brj-22938	214	2	)	)	PUNCT
brj-22938	214	3	,	,	PUNCT
brj-22938	214	4	60	60	NUM
brj-22938	214	5	-	-	SYM
brj-22938	214	6	70	70	NUM
brj-22938	214	7	.	.	PUNCT
brj-22938	215	1	doi	doi	NOUN
brj-22938	215	2	:	:	PUNCT
brj-22938	215	3	10.1080/02827580601137928	10.1080/02827580601137928	NUM
brj-22938	215	4	charpentier	charpentier	NOUN
brj-22938	215	5	,	,	PUNCT
brj-22938	215	6	p.	p.	NOUN
brj-22938	215	7	,	,	PUNCT
brj-22938	215	8	chubinsky	chubinsky	NOUN
brj-22938	215	9	,	,	PUNCT
brj-22938	215	10	a.	a.	NOUN
brj-22938	215	11	,	,	PUNCT
brj-22938	215	12	bombardier	bombardier	PROPN
brj-22938	215	13	,	,	PUNCT
brj-22938	215	14	v.	v.	ADV
brj-22938	215	15	,	,	PUNCT
brj-22938	215	16	longuetaud	longuetaud	PROPN
brj-22938	215	17	,	,	PUNCT
brj-22938	215	18	f.	f.	PROPN
brj-22938	215	19	,	,	PUNCT
brj-22938	215	20	mothe	mothe	PROPN
brj-22938	215	21	,	,	PUNCT
brj-22938	215	22	f.	f.	PROPN
brj-22938	215	23	,	,	PUNCT
brj-22938	215	24	tambi	tambi	PROPN
brj-22938	215	25	,	,	PUNCT
brj-22938	215	26	a.	a.	NOUN
brj-22938	215	27	,	,	PUNCT
brj-22938	215	28	and	and	CCONJ
brj-22938	215	29	bakhshieva	bakhshieva	PROPN
brj-22938	215	30	,	,	PUNCT
brj-22938	215	31	m.	m.	NOUN
brj-22938	215	32	(	(	PUNCT
brj-22938	215	33	2013	2013	NUM
brj-22938	215	34	)	)	PUNCT
brj-22938	215	35	.	.	PUNCT
brj-22938	216	1	“	"	PUNCT
brj-22938	216	2	study	study	VERB
brj-22938	216	3	on	on	ADP
brj-22938	216	4	wood	wood	NOUN
brj-22938	216	5	species	species	NOUN
brj-22938	216	6	identification	identification	NOUN
brj-22938	216	7	by	by	ADP
brj-22938	216	8	using	use	VERB
brj-22938	216	9	computed	computed	ADJ
brj-22938	216	10	tomography	tomography	NOUN
brj-22938	216	11	,	,	PUNCT
brj-22938	216	12	”	"	PUNCT
brj-22938	216	13	actes	actes	X
brj-22938	216	14	forêts	forêts	PROPN
brj-22938	216	15	de	de	PROPN
brj-22938	216	16	l'académie	l'académie	PROPN
brj-22938	216	17	technique	technique	NOUN
brj-22938	216	18	saint	saint	PROPN
brj-22938	216	19	-	-	PUNCT
brj-22938	216	20	pétersbourg	pétersbourg	PROPN
brj-22938	216	21	202	202	NUM
brj-22938	216	22	,	,	PUNCT
brj-22938	216	23	158	158	NUM
brj-22938	216	24	-	-	SYM
brj-22938	216	25	167	167	NUM
brj-22938	216	26	.	.	PUNCT
brj-22938	217	1	colquhoun	colquhoun	PROPN
brj-22938	217	2	,	,	PUNCT
brj-22938	217	3	d.	d.	PROPN
brj-22938	217	4	(	(	PUNCT
brj-22938	217	5	2014	2014	NUM
brj-22938	217	6	)	)	PUNCT
brj-22938	217	7	.	.	PUNCT
brj-22938	218	1	“	"	PUNCT
brj-22938	218	2	an	an	DET
brj-22938	218	3	investigation	investigation	NOUN
brj-22938	218	4	of	of	ADP
brj-22938	218	5	the	the	DET
brj-22938	218	6	false	false	ADJ
brj-22938	218	7	discovery	discovery	NOUN
brj-22938	218	8	rate	rate	NOUN
brj-22938	218	9	and	and	CCONJ
brj-22938	218	10	the	the	DET
brj-22938	218	11	misinterpretation	misinterpretation	NOUN
brj-22938	218	12	of	of	ADP
brj-22938	218	13	p	p	NOUN
brj-22938	218	14	-	-	PUNCT
brj-22938	218	15	values	value	NOUN
brj-22938	218	16	,	,	PUNCT
brj-22938	218	17	”	"	PUNCT
brj-22938	218	18	roy	roy	PROPN
brj-22938	218	19	.	.	PROPN
brj-22938	218	20	soc	soc	PROPN
brj-22938	218	21	.	.	PUNCT
brj-22938	219	1	open	open	PROPN
brj-22938	219	2	sci	sci	PROPN
brj-22938	219	3	.	.	PROPN
brj-22938	219	4	1(3	1(3	NUM
brj-22938	219	5	)	)	PUNCT
brj-22938	219	6	.	.	PUNCT
brj-22938	220	1	doi	doi	NOUN
brj-22938	220	2	:	:	PUNCT
brj-22938	220	3	10.1098	10.1098	NUM
brj-22938	220	4	/	/	SYM
brj-22938	220	5	rsos.140216	rsos.140216	NOUN
brj-22938	220	6	en	en	ADP
brj-22938	220	7	14081	14081	NUM
brj-22938	220	8	(	(	PUNCT
brj-22938	220	9	2019	2019	NUM
brj-22938	220	10	)	)	PUNCT
brj-22938	220	11	.	.	PUNCT
brj-22938	221	1	“	"	PUNCT
brj-22938	221	2	timber	timber	NOUN
brj-22938	221	3	structures	structure	NOUN
brj-22938	221	4	–	–	PUNCT
brj-22938	221	5	strength	strength	NOUN
brj-22938	221	6	graded	grade	VERB
brj-22938	221	7	structural	structural	ADJ
brj-22938	221	8	timber	timber	NOUN
brj-22938	221	9	with	with	ADP
brj-22938	221	10	rectangular	rectangular	PROPN
brj-22938	221	11	cross	cross	NOUN
brj-22938	221	12	section	section	NOUN
brj-22938	221	13	,	,	PUNCT
brj-22938	221	14	”	"	PUNCT
brj-22938	221	15	parts	part	NOUN
brj-22938	221	16	1	1	NUM
brj-22938	221	17	to	to	PART
brj-22938	221	18	3	3	NUM
brj-22938	221	19	.	.	PUNCT
brj-22938	222	1	cen	cen	PROPN
brj-22938	222	2	,	,	PUNCT
brj-22938	222	3	brussels	brussels	PROPN
brj-22938	222	4	,	,	PUNCT
brj-22938	222	5	belgium	belgium	PROPN
brj-22938	222	6	.	.	PUNCT
brj-22938	223	1	en	en	PROPN
brj-22938	223	2	384:2016+a1:2018	384:2016+a1:2018	NUM
brj-22938	223	3	(	(	PUNCT
brj-22938	223	4	2018	2018	NUM
brj-22938	223	5	)	)	PUNCT
brj-22938	223	6	.	.	PUNCT
brj-22938	224	1	“	"	PUNCT
brj-22938	224	2	structural	structural	ADJ
brj-22938	224	3	timber	timber	NOUN
brj-22938	224	4	–	–	PUNCT
brj-22938	224	5	determination	determination	NOUN
brj-22938	224	6	of	of	ADP
brj-22938	224	7	characteristic	characteristic	ADJ
brj-22938	224	8	values	value	NOUN
brj-22938	224	9	of	of	ADP
brj-22938	224	10	mechanical	mechanical	ADJ
brj-22938	224	11	properties	property	NOUN
brj-22938	224	12	and	and	CCONJ
brj-22938	224	13	density	density	NOUN
brj-22938	224	14	,	,	PUNCT
brj-22938	224	15	”	"	PUNCT
brj-22938	224	16	cen	cen	NOUN
brj-22938	224	17	,	,	PUNCT
brj-22938	224	18	brussels	brussels	PROPN
brj-22938	224	19	,	,	PUNCT
brj-22938	224	20	belgium	belgium	PROPN
brj-22938	224	21	.	.	PUNCT
brj-22938	225	1	en	en	PROPN
brj-22938	225	2	408:2010+a1:2012	408:2010+a1:2012	NUM
brj-22938	225	3	(	(	PUNCT
brj-22938	225	4	2012	2012	NUM
brj-22938	225	5	)	)	PUNCT
brj-22938	225	6	.	.	PUNCT
brj-22938	226	1	“	"	PUNCT
brj-22938	226	2	timber	timber	NOUN
brj-22938	226	3	structures	structure	NOUN
brj-22938	226	4	–	–	PUNCT
brj-22938	226	5	structural	structural	ADJ
brj-22938	226	6	timber	timber	NOUN
brj-22938	226	7	and	and	CCONJ
brj-22938	226	8	glued	glue	VERB
brj-22938	226	9	laminated	laminate	VERB
brj-22938	226	10	timber	timber	NOUN
brj-22938	226	11	–	–	PUNCT
brj-22938	226	12	determination	determination	NOUN
brj-22938	226	13	of	of	ADP
brj-22938	226	14	some	some	DET
brj-22938	226	15	physical	physical	ADJ
brj-22938	226	16	and	and	CCONJ
brj-22938	226	17	mechanical	mechanical	ADJ
brj-22938	226	18	properties	property	NOUN
brj-22938	226	19	,	,	PUNCT
brj-22938	226	20	”	"	PUNCT
brj-22938	226	21	cen	cen	NOUN
brj-22938	226	22	,	,	PUNCT
brj-22938	226	23	brussels	brussels	PROPN
brj-22938	226	24	,	,	PUNCT
brj-22938	226	25	belgium	belgium	PROPN
brj-22938	226	26	.	.	PUNCT
brj-22938	226	27	eriksson	eriksson	PROPN
brj-22938	226	28	,	,	PUNCT
brj-22938	226	29	l.	l.	PROPN
brj-22938	226	30	,	,	PUNCT
brj-22938	226	31	byrne	byrne	NOUN
brj-22938	226	32	,	,	PUNCT
brj-22938	226	33	t.	t.	PROPN
brj-22938	226	34	,	,	PUNCT
brj-22938	226	35	johansson	johansson	PROPN
brj-22938	226	36	,	,	PUNCT
brj-22938	226	37	e.	e.	PROPN
brj-22938	226	38	,	,	PUNCT
brj-22938	226	39	trygg	trygg	ADV
brj-22938	226	40	,	,	PUNCT
brj-22938	226	41	j.	j.	PROPN
brj-22938	226	42	,	,	PUNCT
brj-22938	226	43	and	and	CCONJ
brj-22938	226	44	vikström	vikström	ADV
brj-22938	226	45	,	,	PUNCT
brj-22938	226	46	c.	c.	PROPN
brj-22938	226	47	(	(	PUNCT
brj-22938	226	48	2013	2013	NUM
brj-22938	226	49	)	)	PUNCT
brj-22938	226	50	.	.	PUNCT
brj-22938	227	1	multi	multi	ADJ
brj-22938	227	2	-	-	ADJ
brj-22938	227	3	and	and	CCONJ
brj-22938	227	4	megavariate	megavariate	ADJ
brj-22938	227	5	data	datum	NOUN
brj-22938	227	6	analysis	analysis	NOUN
brj-22938	227	7	basic	basic	ADJ
brj-22938	227	8	principles	principle	NOUN
brj-22938	227	9	and	and	CCONJ
brj-22938	227	10	applications	application	NOUN
brj-22938	227	11	(	(	PUNCT
brj-22938	227	12	vol	vol	NOUN
brj-22938	227	13	.	.	NOUN
brj-22938	227	14	1	1	NUM
brj-22938	227	15	)	)	PUNCT
brj-22938	227	16	,	,	PUNCT
brj-22938	227	17	umetrics	umetrics	PROPN
brj-22938	227	18	academy	academy	PROPN
brj-22938	227	19	,	,	PUNCT
brj-22938	227	20	sweden	sweden	PROPN
brj-22938	227	21	.	.	PUNCT
brj-22938	228	1	fredriksson	fredriksson	PROPN
brj-22938	228	2	,	,	PUNCT
brj-22938	228	3	m.	m.	NOUN
brj-22938	228	4	,	,	PUNCT
brj-22938	228	5	broman	broman	NOUN
brj-22938	228	6	,	,	PUNCT
brj-22938	228	7	o.	o.	PROPN
brj-22938	228	8	,	,	PUNCT
brj-22938	228	9	and	and	CCONJ
brj-22938	228	10	sandberg	sandberg	PROPN
brj-22938	228	11	,	,	PUNCT
brj-22938	228	12	d.	d.	PROPN
brj-22938	228	13	(	(	PUNCT
brj-22938	228	14	2017	2017	NUM
brj-22938	228	15	)	)	PUNCT
brj-22938	228	16	.	.	PUNCT
brj-22938	229	1	“	"	PUNCT
brj-22938	229	2	the	the	DET
brj-22938	229	3	use	use	NOUN
brj-22938	229	4	of	of	ADP
brj-22938	229	5	ct	ct	NOUN
brj-22938	229	6	-	-	PUNCT
brj-22938	229	7	scanning	scan	VERB
brj-22938	229	8	technology	technology	NOUN
brj-22938	229	9	in	in	ADP
brj-22938	229	10	wood	wood	NOUN
brj-22938	229	11	value	value	NOUN
brj-22938	229	12	-	-	PUNCT
brj-22938	229	13	chain	chain	NOUN
brj-22938	229	14	research	research	NOUN
brj-22938	229	15	and	and	CCONJ
brj-22938	229	16	in	in	ADP
brj-22938	229	17	wood	wood	NOUN
brj-22938	229	18	industry	industry	NOUN
brj-22938	229	19	:	:	PUNCT
brj-22938	229	20	a	a	DET
brj-22938	229	21	state	state	NOUN
brj-22938	229	22	of	of	ADP
brj-22938	229	23	the	the	DET
brj-22938	229	24	art	art	NOUN
brj-22938	229	25	,	,	PUNCT
brj-22938	229	26	”	"	PUNCT
brj-22938	229	27	pro	pro	X
brj-22938	229	28	ligno	ligno	PROPN
brj-22938	229	29	13(4	13(4	PROPN
brj-22938	229	30	)	)	PUNCT
brj-22938	229	31	,	,	PUNCT
brj-22938	229	32	533	533	NUM
brj-22938	229	33	-	-	SYM
brj-22938	229	34	539	539	NUM
brj-22938	229	35	.	.	PUNCT
brj-22938	230	1	grundberg	grundberg	PROPN
brj-22938	230	2	,	,	PUNCT
brj-22938	230	3	s.	s.	PROPN
brj-22938	230	4	(	(	PUNCT
brj-22938	230	5	1999	1999	NUM
brj-22938	230	6	)	)	PUNCT
brj-22938	230	7	.	.	PUNCT
brj-22938	231	1	an	an	DET
brj-22938	231	2	x	x	ADJ
brj-22938	231	3	-	-	NOUN
brj-22938	231	4	ray	ray	NOUN
brj-22938	231	5	logscanner	logscanner	NOUN
brj-22938	231	6	:	:	PUNCT
brj-22938	231	7	a	a	DET
brj-22938	231	8	tool	tool	NOUN
brj-22938	231	9	for	for	ADP
brj-22938	231	10	control	control	NOUN
brj-22938	231	11	of	of	ADP
brj-22938	231	12	the	the	DET
brj-22938	231	13	sawmill	sawmill	NOUN
brj-22938	231	14	process	process	NOUN
brj-22938	231	15	,	,	PUNCT
brj-22938	231	16	ph.d	ph.d	PROPN
brj-22938	231	17	.	.	PUNCT
brj-22938	231	18	dissertation	dissertation	NOUN
brj-22938	231	19	,	,	PUNCT
brj-22938	231	20	luleå	luleå	PROPN
brj-22938	231	21	university	university	PROPN
brj-22938	231	22	of	of	ADP
brj-22938	231	23	technology	technology	NOUN
brj-22938	231	24	,	,	PUNCT
brj-22938	231	25	skellefteå	skellefteå	NOUN
brj-22938	231	26	,	,	PUNCT
brj-22938	231	27	sweden	sweden	PROPN
brj-22938	231	28	.	.	PUNCT
brj-22938	232	1	jäppinen	jäppinen	PROPN
brj-22938	232	2	,	,	PUNCT
brj-22938	232	3	a.	a.	NOUN
brj-22938	232	4	(	(	PUNCT
brj-22938	232	5	2000	2000	NUM
brj-22938	232	6	)	)	PUNCT
brj-22938	232	7	.	.	PUNCT
brj-22938	233	1	automatic	automatic	ADJ
brj-22938	233	2	sorting	sorting	NOUN
brj-22938	233	3	of	of	ADP
brj-22938	233	4	sawlogs	sawlog	NOUN
brj-22938	233	5	by	by	ADP
brj-22938	233	6	grade	grade	NOUN
brj-22938	233	7	,	,	PUNCT
brj-22938	233	8	ph.d	ph.d	PROPN
brj-22938	233	9	.	.	PUNCT
brj-22938	233	10	dissertation	dissertation	NOUN
brj-22938	233	11	,	,	PUNCT
brj-22938	233	12	swedish	swedish	ADJ
brj-22938	233	13	university	university	PROPN
brj-22938	233	14	of	of	ADP
brj-22938	233	15	agricultural	agricultural	ADJ
brj-22938	233	16	sciences	science	NOUN
brj-22938	233	17	,	,	PUNCT
brj-22938	233	18	uppsala	uppsala	PROPN
brj-22938	233	19	,	,	PUNCT
brj-22938	233	20	sweden	sweden	PROPN
brj-22938	233	21	.	.	PUNCT
brj-22938	234	1	johansson	johansson	PROPN
brj-22938	234	2	,	,	PUNCT
brj-22938	234	3	e.	e.	PROPN
brj-22938	234	4	,	,	PUNCT
brj-22938	234	5	berglund	berglund	PROPN
brj-22938	234	6	,	,	PUNCT
brj-22938	234	7	a.	a.	NOUN
brj-22938	234	8	,	,	PUNCT
brj-22938	234	9	and	and	CCONJ
brj-22938	234	10	skog	skog	PROPN
brj-22938	234	11	,	,	PUNCT
brj-22938	234	12	j.	j.	PROPN
brj-22938	234	13	(	(	PUNCT
brj-22938	234	14	2016	2016	NUM
brj-22938	234	15	)	)	PUNCT
brj-22938	234	16	.	.	PUNCT
brj-22938	235	1	“	"	PUNCT
brj-22938	235	2	comparing	compare	VERB
brj-22938	235	3	predictability	predictability	NOUN
brj-22938	235	4	of	of	ADP
brj-22938	235	5	board	board	NOUN
brj-22938	235	6	strength	strength	NOUN
brj-22938	235	7	between	between	ADP
brj-22938	235	8	computed	compute	VERB
brj-22938	235	9	tomography	tomography	NOUN
brj-22938	235	10	,	,	PUNCT
brj-22938	235	11	discrete	discrete	ADJ
brj-22938	235	12	x	x	NOUN
brj-22938	235	13	-	-	NOUN
brj-22938	235	14	ray	ray	NOUN
brj-22938	235	15	,	,	PUNCT
brj-22938	235	16	and	and	CCONJ
brj-22938	235	17	3d	3d	NUM
brj-22938	235	18	scanning	scanning	NOUN
brj-22938	235	19	of	of	ADP
brj-22938	235	20	norway	norway	NOUN
brj-22938	235	21	spruce	spruce	NOUN
brj-22938	235	22	logs	log	NOUN
brj-22938	235	23	,	,	PUNCT
brj-22938	235	24	”	"	PUNCT
brj-22938	235	25	wood	wood	NOUN
brj-22938	235	26	mater	mater	NOUN
brj-22938	235	27	sci	sci	PROPN
brj-22938	235	28	eng	eng	PROPN
brj-22938	235	29	11(2	11(2	NUM
brj-22938	235	30	)	)	PUNCT
brj-22938	235	31	,	,	PUNCT
brj-22938	235	32	116	116	NUM
brj-22938	235	33	-	-	SYM
brj-22938	235	34	125	125	NUM
brj-22938	235	35	.	.	PUNCT
brj-22938	236	1	doi	doi	NOUN
brj-22938	236	2	:	:	PUNCT
brj-22938	236	3	10.1080/17480272.2015.1022875	10.1080/17480272.2015.1022875	NUM
brj-22938	236	4	lukacevic	lukacevic	ADJ
brj-22938	236	5	,	,	PUNCT
brj-22938	236	6	m.	m.	NOUN
brj-22938	236	7	,	,	PUNCT
brj-22938	236	8	füssl	füssl	PROPN
brj-22938	236	9	,	,	PUNCT
brj-22938	236	10	j.	j.	PROPN
brj-22938	236	11	,	,	PUNCT
brj-22938	236	12	and	and	CCONJ
brj-22938	236	13	eberhardsteiner	eberhardsteiner	NOUN
brj-22938	236	14	,	,	PUNCT
brj-22938	236	15	j.	j.	PROPN
brj-22938	236	16	(	(	PUNCT
brj-22938	236	17	2015	2015	NUM
brj-22938	236	18	)	)	PUNCT
brj-22938	236	19	.	.	PUNCT
brj-22938	237	1	“	"	PUNCT
brj-22938	237	2	discussion	discussion	NOUN
brj-22938	237	3	of	of	ADP
brj-22938	237	4	common	common	ADJ
brj-22938	237	5	and	and	CCONJ
brj-22938	237	6	new	new	ADJ
brj-22938	237	7	indicating	indicating	ADJ
brj-22938	237	8	properties	property	NOUN
brj-22938	237	9	for	for	ADP
brj-22938	237	10	the	the	DET
brj-22938	237	11	strength	strength	NOUN
brj-22938	237	12	grading	grade	VERB
brj-22938	237	13	of	of	ADP
brj-22938	237	14	wooden	wooden	ADJ
brj-22938	237	15	boards	board	NOUN
brj-22938	237	16	,	,	PUNCT
brj-22938	237	17	”	"	PUNCT
brj-22938	237	18	wood	wood	NOUN
brj-22938	237	19	sci	sci	PROPN
brj-22938	237	20	technol	technol	NOUN
brj-22938	237	21	49	49	NUM
brj-22938	237	22	,	,	PUNCT
brj-22938	237	23	551	551	NUM
brj-22938	237	24	-	-	SYM
brj-22938	237	25	576	576	NUM
brj-22938	237	26	.	.	PUNCT
brj-22938	238	1	doi	doi	NOUN
brj-22938	238	2	:	:	PUNCT
brj-22938	238	3	10.1007	10.1007	NUM
brj-22938	238	4	/	/	SYM
brj-22938	238	5	s00226	s00226	PROPN
brj-22938	238	6	-	-	PUNCT
brj-22938	238	7	015	015	NUM
brj-22938	238	8	-	-	PUNCT
brj-22938	238	9	0712	0712	NUM
brj-22938	238	10	-	-	PUNCT
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brj-22938	238	13	,	,	PUNCT
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brj-22938	238	19	r.	r.	PROPN
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brj-22938	238	23	,	,	PUNCT
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brj-22938	238	28	)	)	PUNCT
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brj-22938	239	1	“	"	PUNCT
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brj-22938	239	9	,	,	PUNCT
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brj-22938	239	15	,	,	PUNCT
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brj-22938	239	17	-	-	SYM
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brj-22938	239	19	.	.	PUNCT
brj-22938	240	1	doi	doi	NOUN
brj-22938	240	2	:	:	PUNCT
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brj-22938	240	4	/	/	SYM
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brj-22938	240	7	,	,	PUNCT
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brj-22938	240	9	(	(	PUNCT
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brj-22938	240	11	)	)	PUNCT
brj-22938	240	12	.	.	PUNCT
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brj-22938	241	5	(	(	PUNCT
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brj-22938	241	7	)	)	PUNCT
brj-22938	241	8	,	,	PUNCT
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brj-22938	242	1	[	[	X
brj-22938	242	2	in	in	ADP
brj-22938	242	3	swedish	swedish	PROPN
brj-22938	242	4	]	]	PUNCT
brj-22938	242	5	.	.	PUNCT
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brj-22938	243	2	,	,	PUNCT
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brj-22938	243	4	,	,	PUNCT
brj-22938	243	5	oscarsson	oscarsson	PROPN
brj-22938	243	6	,	,	PUNCT
brj-22938	243	7	j.	j.	PROPN
brj-22938	243	8	,	,	PUNCT
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brj-22938	243	10	,	,	PUNCT
brj-22938	243	11	m.	m.	NOUN
brj-22938	243	12	,	,	PUNCT
brj-22938	243	13	and	and	CCONJ
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brj-22938	243	15	,	,	PUNCT
brj-22938	243	16	b.	b.	PROPN
brj-22938	243	17	(	(	PUNCT
brj-22938	243	18	2012	2012	NUM
brj-22938	243	19	)	)	PUNCT
brj-22938	243	20	.	.	PUNCT
brj-22938	244	1	“	"	PUNCT
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brj-22938	244	4	timber	timber	NOUN
brj-22938	244	5	bending	bend	VERB
brj-22938	244	6	strength	strength	NOUN
brj-22938	244	7	on	on	ADP
brj-22938	244	8	basis	basis	NOUN
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brj-22938	244	10	bending	bend	VERB
brj-22938	244	11	stiffness	stiffness	NOUN
brj-22938	244	12	and	and	CCONJ
brj-22938	244	13	material	material	NOUN
brj-22938	244	14	homogeneity	homogeneity	NOUN
brj-22938	244	15	assessed	assess	VERB
brj-22938	244	16	from	from	ADP
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brj-22938	244	19	,	,	PUNCT
brj-22938	244	20	”	"	PUNCT
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brj-22938	244	22	sci	sci	PROPN
brj-22938	244	23	technol	technol	PROPN
brj-22938	244	24	46(4	46(4	PROPN
brj-22938	244	25	)	)	PUNCT
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brj-22938	244	28	-	-	SYM
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brj-22938	244	30	.	.	PUNCT
brj-22938	245	1	doi	doi	NOUN
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brj-22938	245	3	10.1007	10.1007	NUM
brj-22938	245	4	/	/	SYM
brj-22938	245	5	s00226011	s00226011	NUM
brj-22938	245	6	-	-	PUNCT
brj-22938	245	7	0427	0427	NUM
brj-22938	245	8	-	-	PUNCT
brj-22938	245	9	x	x	VERB
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brj-22938	245	11	.	.	PUNCT
brj-22938	246	1	(	(	PUNCT
brj-22938	246	2	2023	2023	NUM
brj-22938	246	3	)	)	PUNCT
brj-22938	246	4	.	.	PUNCT
brj-22938	247	1	“	"	PUNCT
brj-22938	247	2	simca	simca	PROPN
brj-22938	247	3	,	,	PUNCT
brj-22938	247	4	”	"	PUNCT
brj-22938	247	5	(	(	PUNCT
brj-22938	247	6	https://www.sartorius.com/en/products/process-analyticaltechnology/data-analytics-software/mvda-software/simca	https://www.sartorius.com/en/products/process-analyticaltechnology/data-analytics-software/mvda-software/simca	PROPN
brj-22938	247	7	)	)	PUNCT
brj-22938	247	8	,	,	PUNCT
brj-22938	247	9	accessed	access	VERB
brj-22938	247	10	9	9	NUM
brj-22938	247	11	august	august	PROPN
brj-22938	247	12	2023	2023	NUM
brj-22938	247	13	.	.	PUNCT
brj-22938	248	1	peer	peer	NOUN
brj-22938	248	2	-	-	PUNCT
brj-22938	248	3	reviewed	review	VERB
brj-22938	248	4	article	article	NOUN
brj-22938	248	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
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brj-22938	248	7	(	(	PUNCT
brj-22938	248	8	2024	2024	NUM
brj-22938	248	9	)	)	PUNCT
brj-22938	248	10	.	.	PUNCT
brj-22938	249	1	“	"	PUNCT
brj-22938	249	2	board	board	NOUN
brj-22938	249	3	strength	strength	NOUN
brj-22938	249	4	&	&	CCONJ
brj-22938	249	5	log	log	PROPN
brj-22938	249	6	data	data	PROPN
brj-22938	249	7	,	,	PUNCT
brj-22938	249	8	”	"	PUNCT
brj-22938	249	9	bioresources	bioresource	NOUN
brj-22938	249	10	19(1	19(1	NUM
brj-22938	249	11	)	)	PUNCT
brj-22938	249	12	,	,	PUNCT
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brj-22938	249	14	-	-	SYM
brj-22938	249	15	1788	1788	NUM
brj-22938	249	16	.	.	PUNCT
brj-22938	250	1	1788	1788	NUM
brj-22938	250	2	skatter	skatter	NOUN
brj-22938	250	3	,	,	PUNCT
brj-22938	250	4	s.	s.	PROPN
brj-22938	250	5	,	,	PUNCT
brj-22938	250	6	høibø	høibø	NOUN
brj-22938	250	7	,	,	PUNCT
brj-22938	250	8	o.	o.	NOUN
brj-22938	250	9	a.	a.	PROPN
brj-22938	250	10	,	,	PUNCT
brj-22938	250	11	and	and	CCONJ
brj-22938	250	12	gjerdum	gjerdum	NOUN
brj-22938	250	13	,	,	PUNCT
brj-22938	250	14	p.	p.	NOUN
brj-22938	250	15	(	(	PUNCT
brj-22938	250	16	1998	1998	NUM
brj-22938	250	17	)	)	PUNCT
brj-22938	250	18	.	.	PUNCT
brj-22938	251	1	“	"	PUNCT
brj-22938	251	2	simulated	simulate	VERB
brj-22938	251	3	yield	yield	NOUN
brj-22938	251	4	in	in	ADP
brj-22938	251	5	a	a	DET
brj-22938	251	6	sawmill	sawmill	NOUN
brj-22938	251	7	using	use	VERB
brj-22938	251	8	different	different	ADJ
brj-22938	251	9	measurement	measurement	NOUN
brj-22938	251	10	technologies	technology	NOUN
brj-22938	251	11	,	,	PUNCT
brj-22938	251	12	”	"	PUNCT
brj-22938	251	13	holz	holz	PROPN
brj-22938	251	14	roh	roh	PROPN
brj-22938	251	15	werkst	werkst	PROPN
brj-22938	251	16	56(4	56(4	PROPN
brj-22938	251	17	)	)	PUNCT
brj-22938	251	18	,	,	PUNCT
brj-22938	251	19	267	267	NUM
brj-22938	251	20	-	-	SYM
brj-22938	251	21	274	274	NUM
brj-22938	251	22	.	.	PUNCT
brj-22938	252	1	doi	doi	NOUN
brj-22938	252	2	:	:	PUNCT
brj-22938	252	3	10.1007	10.1007	NUM
brj-22938	252	4	/	/	SYM
brj-22938	252	5	s001070050317	s001070050317	ADJ
brj-22938	252	6	skog	skog	PROPN
brj-22938	252	7	,	,	PUNCT
brj-22938	252	8	j.	j.	PROPN
brj-22938	252	9	,	,	PUNCT
brj-22938	252	10	and	and	CCONJ
brj-22938	252	11	oja	oja	NOUN
brj-22938	252	12	,	,	PUNCT
brj-22938	252	13	j.	j.	PROPN
brj-22938	252	14	(	(	PUNCT
brj-22938	252	15	2009	2009	NUM
brj-22938	252	16	)	)	PUNCT
brj-22938	252	17	.	.	PUNCT
brj-22938	253	1	“	"	PUNCT
brj-22938	253	2	heartwood	heartwood	ADJ
brj-22938	253	3	diameter	diameter	NOUN
brj-22938	253	4	measurements	measurement	NOUN
brj-22938	253	5	in	in	ADP
brj-22938	253	6	pinus	pinus	NOUN
brj-22938	253	7	sylvestris	sylvestris	NOUN
brj-22938	253	8	sawlogs	sawlog	NOUN
brj-22938	253	9	combining	combine	VERB
brj-22938	253	10	x	x	NOUN
brj-22938	253	11	-	-	NOUN
brj-22938	253	12	ray	ray	NOUN
brj-22938	253	13	and	and	CCONJ
brj-22938	253	14	three	three	NUM
brj-22938	253	15	-	-	PUNCT
brj-22938	253	16	dimensional	dimensional	ADJ
brj-22938	253	17	scanning	scanning	NOUN
brj-22938	253	18	,	,	PUNCT
brj-22938	253	19	”	"	PUNCT
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brj-22938	253	21	.	.	PUNCT
brj-22938	254	1	j.	j.	PROPN
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brj-22938	254	3	.	.	PUNCT
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brj-22938	255	2	.	.	PUNCT
brj-22938	256	1	24(2	24(2	NUM
brj-22938	256	2	)	)	PUNCT
brj-22938	256	3	,	,	PUNCT
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brj-22938	256	5	-	-	SYM
brj-22938	256	6	188	188	NUM
brj-22938	256	7	.	.	PUNCT
brj-22938	257	1	doi	doi	NOUN
brj-22938	257	2	:	:	PUNCT
brj-22938	257	3	10.1080/02827580902806585	10.1080/02827580902806585	NUM
brj-22938	257	4	skog	skog	NOUN
brj-22938	257	5	,	,	PUNCT
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brj-22938	257	7	,	,	PUNCT
brj-22938	257	8	jacobsson	jacobsson	PROPN
brj-22938	257	9	,	,	PUNCT
brj-22938	257	10	m.	m.	NOUN
brj-22938	257	11	,	,	PUNCT
brj-22938	257	12	and	and	CCONJ
brj-22938	257	13	lycken	lycken	PROPN
brj-22938	257	14	,	,	PUNCT
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brj-22938	257	16	(	(	PUNCT
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brj-22938	257	18	)	)	PUNCT
brj-22938	257	19	.	.	PUNCT
brj-22938	258	1	“	"	PUNCT
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brj-22938	258	14	13(4	13(4	PROPN
brj-22938	258	15	)	)	PUNCT
brj-22938	258	16	,	,	PUNCT
brj-22938	258	17	162	162	NUM
brj-22938	258	18	-	-	SYM
brj-22938	258	19	167	167	NUM
brj-22938	258	20	.	.	PUNCT
brj-22938	259	1	wold	wold	PROPN
brj-22938	259	2	,	,	PUNCT
brj-22938	259	3	s.	s.	PROPN
brj-22938	259	4	,	,	PUNCT
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brj-22938	259	6	,	,	PUNCT
brj-22938	259	7	m.	m.	NOUN
brj-22938	259	8	,	,	PUNCT
brj-22938	259	9	and	and	CCONJ
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brj-22938	259	11	,	,	PUNCT
brj-22938	259	12	l.	l.	PROPN
brj-22938	259	13	(	(	PUNCT
brj-22938	259	14	2001	2001	NUM
brj-22938	259	15	)	)	PUNCT
brj-22938	259	16	.	.	PUNCT
brj-22938	260	1	“	"	PUNCT
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brj-22938	260	3	-	-	PUNCT
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brj-22938	260	5	:	:	PUNCT
brj-22938	260	6	a	a	DET
brj-22938	260	7	basic	basic	ADJ
brj-22938	260	8	tool	tool	NOUN
brj-22938	260	9	of	of	ADP
brj-22938	260	10	chemometrics	chemometric	NOUN
brj-22938	260	11	,	,	PUNCT
brj-22938	260	12	”	"	PUNCT
brj-22938	260	13	chemom	chemom	NOUN
brj-22938	260	14	.	.	PUNCT
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brj-22938	261	2	.	.	PUNCT
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brj-22938	263	4	,	,	PUNCT
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brj-22938	263	6	-	-	SYM
brj-22938	263	7	130	130	NUM
brj-22938	263	8	.	.	PUNCT
brj-22938	264	1	doi	doi	NOUN
brj-22938	264	2	:	:	PUNCT
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brj-22938	264	6	-	-	PUNCT
brj-22938	264	7	1	1	NUM
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brj-22938	264	10	:	:	PUNCT
brj-22938	264	11	august	august	PROPN
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brj-22938	264	13	,	,	PUNCT
brj-22938	264	14	2023	2023	NUM
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brj-22938	264	19	:	:	PUNCT
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brj-22938	264	37	:	:	PUNCT
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brj-22938	264	40	,	,	PUNCT
brj-22938	264	41	2024	2024	NUM
brj-22938	264	42	.	.	PUNCT
brj-22938	265	1	doi	doi	NOUN
brj-22938	265	2	:	:	PUNCT
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brj-22938	265	4	/	/	SYM
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