id	sid	tid	token	lemma	pos
ijassa-498	1	1	adv	adv	PROPN
ijassa-498	1	2	syst	syst	PROPN
ijassa-498	1	3	sci	sci	PROPN
ijassa-498	1	4	appl	appl	PROPN
ijassa-498	1	5	2017	2017	NUM
ijassa-498	1	6	;	;	PUNCT
ijassa-498	1	7	3:34–41	3:34–41	NUM
ijassa-498	1	8	published	publish	VERB
ijassa-498	1	9	online	online	ADV
ijassa-498	1	10	at	at	ADP
ijassa-498	1	11	http://ijassa.ipu.ru/ojs/ijassa/article/view/498	http://ijassa.ipu.ru/ojs/ijassa/article/view/498	PROPN
ijassa-498	1	12	dynamic	dynamic	ADJ
ijassa-498	1	13	fracture	fracture	NOUN
ijassa-498	1	14	tests	test	NOUN
ijassa-498	1	15	data	datum	NOUN
ijassa-498	1	16	analysis	analysis	NOUN
ijassa-498	1	17	based	base	VERB
ijassa-498	1	18	on	on	ADP
ijassa-498	1	19	the	the	DET
ijassa-498	1	20	randomized	randomized	ADJ
ijassa-498	1	21	approach	approach	NOUN
ijassa-498	1	22	marina	marina	NOUN
ijassa-498	1	23	v.	v.	PROPN
ijassa-498	1	24	volkova1∗	volkova1∗	PROPN
ijassa-498	1	25	,	,	PUNCT
ijassa-498	1	26	oleg	oleg	PROPN
ijassa-498	1	27	n.	n.	PROPN
ijassa-498	1	28	granichin1,2	granichin1,2	PROPN
ijassa-498	1	29	,	,	PUNCT
ijassa-498	1	30	yuri	yuri	PROPN
ijassa-498	1	31	v.	v.	PROPN
ijassa-498	1	32	petrov1,2	petrov1,2	PROPN
ijassa-498	1	33	,	,	PUNCT
ijassa-498	1	34	grigory	grigory	NOUN
ijassa-498	1	35	a.	a.	NOUN
ijassa-498	1	36	volkov1,2	volkov1,2	PROPN
ijassa-498	1	37	1saint	1saint	NUM
ijassa-498	1	38	petersburg	petersburg	PROPN
ijassa-498	1	39	state	state	PROPN
ijassa-498	1	40	university	university	PROPN
ijassa-498	1	41	,	,	PUNCT
ijassa-498	1	42	st	st	PROPN
ijassa-498	1	43	.	.	PROPN
ijassa-498	1	44	petersburg	petersburg	PROPN
ijassa-498	1	45	,	,	PUNCT
ijassa-498	1	46	russia	russia	PROPN
ijassa-498	1	47	2institute	2institute	NUM
ijassa-498	1	48	of	of	ADP
ijassa-498	1	49	problems	problem	NOUN
ijassa-498	1	50	of	of	ADP
ijassa-498	1	51	mechanical	mechanical	ADJ
ijassa-498	1	52	engineering	engineering	NOUN
ijassa-498	1	53	russian	russian	PROPN
ijassa-498	1	54	academy	academy	PROPN
ijassa-498	1	55	of	of	ADP
ijassa-498	1	56	sciences	sciences	PROPN
ijassa-498	1	57	,	,	PUNCT
ijassa-498	1	58	st	st	PROPN
ijassa-498	1	59	.	.	PROPN
ijassa-498	1	60	petersburg	petersburg	PROPN
ijassa-498	1	61	,	,	PUNCT
ijassa-498	1	62	russia	russia	PROPN
ijassa-498	1	63	abstract	abstract	NOUN
ijassa-498	1	64	:	:	PUNCT
ijassa-498	1	65	methods	method	NOUN
ijassa-498	1	66	of	of	ADP
ijassa-498	1	67	measurement	measurement	NOUN
ijassa-498	1	68	and	and	CCONJ
ijassa-498	1	69	prediction	prediction	NOUN
ijassa-498	1	70	of	of	ADP
ijassa-498	1	71	materials	material	NOUN
ijassa-498	1	72	dynamic	dynamic	ADJ
ijassa-498	1	73	strength	strength	NOUN
ijassa-498	1	74	are	be	AUX
ijassa-498	1	75	complicated	complicated	ADJ
ijassa-498	1	76	and	and	CCONJ
ijassa-498	1	77	not	not	PART
ijassa-498	1	78	standardized	standardize	VERB
ijassa-498	1	79	.	.	PUNCT
ijassa-498	2	1	usually	usually	ADV
ijassa-498	2	2	dynamic	dynamic	ADJ
ijassa-498	2	3	tests	test	NOUN
ijassa-498	2	4	are	be	AUX
ijassa-498	2	5	labour	labour	NOUN
ijassa-498	2	6	-	-	PUNCT
ijassa-498	2	7	consuming	consume	VERB
ijassa-498	2	8	and	and	CCONJ
ijassa-498	2	9	each	each	DET
ijassa-498	2	10	assay	assay	NOUN
ijassa-498	2	11	demands	demand	VERB
ijassa-498	2	12	a	a	DET
ijassa-498	2	13	lot	lot	NOUN
ijassa-498	2	14	of	of	ADP
ijassa-498	2	15	time	time	NOUN
ijassa-498	2	16	in	in	ADP
ijassa-498	2	17	contrast	contrast	NOUN
ijassa-498	2	18	to	to	ADP
ijassa-498	2	19	static	static	ADJ
ijassa-498	2	20	experiments	experiment	NOUN
ijassa-498	2	21	.	.	PUNCT
ijassa-498	3	1	the	the	DET
ijassa-498	3	2	way	way	NOUN
ijassa-498	3	3	of	of	ADP
ijassa-498	3	4	experimental	experimental	ADJ
ijassa-498	3	5	data	data	NOUN
ijassa-498	3	6	treatment	treatment	NOUN
ijassa-498	3	7	based	base	VERB
ijassa-498	3	8	on	on	ADP
ijassa-498	3	9	incubation	incubation	NOUN
ijassa-498	3	10	time	time	NOUN
ijassa-498	3	11	criterion	criterion	NOUN
ijassa-498	3	12	and	and	CCONJ
ijassa-498	3	13	randomized	randomized	ADJ
ijassa-498	3	14	approach	approach	NOUN
ijassa-498	3	15	of	of	ADP
ijassa-498	3	16	sign	sign	NOUN
ijassa-498	3	17	-	-	PUNCT
ijassa-498	3	18	perturbed	perturb	VERB
ijassa-498	3	19	sums	sum	NOUN
ijassa-498	3	20	is	be	AUX
ijassa-498	3	21	considered	consider	VERB
ijassa-498	3	22	.	.	PUNCT
ijassa-498	4	1	it	it	PRON
ijassa-498	4	2	is	be	AUX
ijassa-498	4	3	shown	show	VERB
ijassa-498	4	4	that	that	SCONJ
ijassa-498	4	5	a	a	DET
ijassa-498	4	6	few	few	ADJ
ijassa-498	4	7	experimental	experimental	ADJ
ijassa-498	4	8	points	point	NOUN
ijassa-498	4	9	are	be	AUX
ijassa-498	4	10	enough	enough	ADJ
ijassa-498	4	11	to	to	PART
ijassa-498	4	12	determine	determine	VERB
ijassa-498	4	13	strength	strength	NOUN
ijassa-498	4	14	parameter	parameter	NOUN
ijassa-498	4	15	with	with	ADP
ijassa-498	4	16	accuracy	accuracy	NOUN
ijassa-498	4	17	proper	proper	ADJ
ijassa-498	4	18	for	for	ADP
ijassa-498	4	19	engineering	engineering	NOUN
ijassa-498	4	20	.	.	PUNCT
ijassa-498	5	1	the	the	DET
ijassa-498	5	2	lack	lack	NOUN
ijassa-498	5	3	of	of	ADP
ijassa-498	5	4	real	real	ADJ
ijassa-498	5	5	experimental	experimental	ADJ
ijassa-498	5	6	data	datum	NOUN
ijassa-498	5	7	is	be	AUX
ijassa-498	5	8	compensated	compensate	VERB
ijassa-498	5	9	in	in	ADP
ijassa-498	5	10	spsalgorithm	spsalgorithm	NOUN
ijassa-498	5	11	by	by	ADP
ijassa-498	5	12	carrying	carry	VERB
ijassa-498	5	13	out	out	ADP
ijassa-498	5	14	a	a	DET
ijassa-498	5	15	large	large	ADJ
ijassa-498	5	16	number	number	NOUN
ijassa-498	5	17	of	of	ADP
ijassa-498	5	18	virtual	virtual	ADJ
ijassa-498	5	19	random	random	ADJ
ijassa-498	5	20	tests	test	NOUN
ijassa-498	5	21	in	in	ADP
ijassa-498	5	22	which	which	PRON
ijassa-498	5	23	the	the	DET
ijassa-498	5	24	bernulli	bernulli	ADJ
ijassa-498	5	25	signs	sign	NOUN
ijassa-498	5	26	are	be	AUX
ijassa-498	5	27	randomly	randomly	ADV
ijassa-498	5	28	generated	generate	VERB
ijassa-498	5	29	in	in	ADP
ijassa-498	5	30	this	this	DET
ijassa-498	5	31	method	method	NOUN
ijassa-498	5	32	.	.	PUNCT
ijassa-498	6	1	keywords	keyword	NOUN
ijassa-498	6	2	:	:	PUNCT
ijassa-498	6	3	sign	sign	NOUN
ijassa-498	6	4	-	-	PUNCT
ijassa-498	6	5	perturbed	perturb	VERB
ijassa-498	6	6	sums	sum	NOUN
ijassa-498	6	7	,	,	PUNCT
ijassa-498	6	8	incubation	incubation	NOUN
ijassa-498	6	9	time	time	NOUN
ijassa-498	6	10	,	,	PUNCT
ijassa-498	6	11	randomized	randomized	ADJ
ijassa-498	6	12	approach	approach	NOUN
ijassa-498	6	13	,	,	PUNCT
ijassa-498	6	14	data	datum	NOUN
ijassa-498	6	15	analysis	analysis	NOUN
ijassa-498	6	16	1	1	NUM
ijassa-498	6	17	.	.	PUNCT
ijassa-498	7	1	introduction	introduction	NOUN
ijassa-498	7	2	one	one	NUM
ijassa-498	7	3	of	of	ADP
ijassa-498	7	4	the	the	DET
ijassa-498	7	5	most	most	ADV
ijassa-498	7	6	important	important	ADJ
ijassa-498	7	7	problems	problem	NOUN
ijassa-498	7	8	in	in	ADP
ijassa-498	7	9	mechanical	mechanical	ADJ
ijassa-498	7	10	engineering	engineering	NOUN
ijassa-498	7	11	is	be	AUX
ijassa-498	7	12	measuring	measure	VERB
ijassa-498	7	13	the	the	DET
ijassa-498	7	14	strength	strength	NOUN
ijassa-498	7	15	and	and	CCONJ
ijassa-498	7	16	rheological	rheological	ADJ
ijassa-498	7	17	parameters	parameter	NOUN
ijassa-498	7	18	of	of	ADP
ijassa-498	7	19	materials	material	NOUN
ijassa-498	7	20	.	.	PUNCT
ijassa-498	8	1	determination	determination	NOUN
ijassa-498	8	2	of	of	ADP
ijassa-498	8	3	the	the	DET
ijassa-498	8	4	static	static	ADJ
ijassa-498	8	5	strength	strength	NOUN
ijassa-498	8	6	or	or	CCONJ
ijassa-498	8	7	young	young	ADJ
ijassa-498	8	8	modulus	modulus	NOUN
ijassa-498	8	9	is	be	AUX
ijassa-498	8	10	a	a	DET
ijassa-498	8	11	common	common	ADJ
ijassa-498	8	12	procedure	procedure	NOUN
ijassa-498	8	13	,	,	PUNCT
ijassa-498	8	14	because	because	SCONJ
ijassa-498	8	15	these	these	DET
ijassa-498	8	16	values	value	NOUN
ijassa-498	8	17	result	result	VERB
ijassa-498	8	18	from	from	ADP
ijassa-498	8	19	direct	direct	ADJ
ijassa-498	8	20	observation	observation	NOUN
ijassa-498	8	21	.	.	PUNCT
ijassa-498	9	1	there	there	PRON
ijassa-498	9	2	are	be	VERB
ijassa-498	9	3	standard	standard	ADJ
ijassa-498	9	4	measurement	measurement	NOUN
ijassa-498	9	5	techniques	technique	NOUN
ijassa-498	9	6	to	to	PART
ijassa-498	9	7	obtain	obtain	VERB
ijassa-498	9	8	the	the	DET
ijassa-498	9	9	average	average	ADJ
ijassa-498	9	10	value	value	NOUN
ijassa-498	9	11	of	of	ADP
ijassa-498	9	12	a	a	DET
ijassa-498	9	13	required	require	VERB
ijassa-498	9	14	parameter	parameter	NOUN
ijassa-498	9	15	with	with	ADP
ijassa-498	9	16	a	a	DET
ijassa-498	9	17	certain	certain	ADJ
ijassa-498	9	18	degree	degree	NOUN
ijassa-498	9	19	of	of	ADP
ijassa-498	9	20	accuracy	accuracy	NOUN
ijassa-498	9	21	,	,	PUNCT
ijassa-498	9	22	for	for	ADP
ijassa-498	9	23	example	example	NOUN
ijassa-498	9	24	σc	σc	PROPN
ijassa-498	9	25	∈	∈	PROPN
ijassa-498	10	1	[	[	X
ijassa-498	10	2	σc−;σc	σc−;σc	X
ijassa-498	11	1	+	+	NOUN
ijassa-498	11	2	]	]	X
ijassa-498	11	3	.	.	PUNCT
ijassa-498	12	1	also	also	ADV
ijassa-498	12	2	direct	direct	ADJ
ijassa-498	12	3	observations	observation	NOUN
ijassa-498	12	4	stipulate	stipulate	VERB
ijassa-498	12	5	that	that	SCONJ
ijassa-498	12	6	the	the	DET
ijassa-498	12	7	physical	physical	ADJ
ijassa-498	12	8	sense	sense	NOUN
ijassa-498	12	9	of	of	ADP
ijassa-498	12	10	the	the	DET
ijassa-498	12	11	measured	measure	VERB
ijassa-498	12	12	parameter	parameter	NOUN
ijassa-498	12	13	is	be	AUX
ijassa-498	12	14	established	establish	VERB
ijassa-498	12	15	and	and	CCONJ
ijassa-498	12	16	well	well	ADV
ijassa-498	12	17	-	-	PUNCT
ijassa-498	12	18	known	know	VERB
ijassa-498	12	19	,	,	PUNCT
ijassa-498	12	20	and	and	CCONJ
ijassa-498	12	21	all	all	DET
ijassa-498	12	22	researchers	researcher	NOUN
ijassa-498	12	23	have	have	VERB
ijassa-498	12	24	a	a	DET
ijassa-498	12	25	unified	unified	ADJ
ijassa-498	12	26	conception	conception	NOUN
ijassa-498	12	27	about	about	ADP
ijassa-498	12	28	the	the	DET
ijassa-498	12	29	final	final	ADJ
ijassa-498	12	30	result	result	NOUN
ijassa-498	12	31	.	.	PUNCT
ijassa-498	13	1	the	the	DET
ijassa-498	13	2	more	more	ADV
ijassa-498	13	3	complicated	complicated	ADJ
ijassa-498	13	4	situation	situation	NOUN
ijassa-498	13	5	is	be	AUX
ijassa-498	13	6	observed	observe	VERB
ijassa-498	13	7	in	in	ADP
ijassa-498	13	8	dynamics	dynamic	NOUN
ijassa-498	13	9	,	,	PUNCT
ijassa-498	13	10	where	where	SCONJ
ijassa-498	13	11	material	material	NOUN
ijassa-498	13	12	strength	strength	NOUN
ijassa-498	13	13	can	can	AUX
ijassa-498	13	14	not	not	PART
ijassa-498	13	15	be	be	AUX
ijassa-498	13	16	characterized	characterize	VERB
ijassa-498	13	17	by	by	ADP
ijassa-498	13	18	one	one	NUM
ijassa-498	13	19	parameter	parameter	NOUN
ijassa-498	13	20	of	of	ADP
ijassa-498	13	21	the	the	DET
ijassa-498	13	22	critical	critical	ADJ
ijassa-498	13	23	stress	stress	NOUN
ijassa-498	13	24	.	.	PUNCT
ijassa-498	14	1	experimental	experimental	ADJ
ijassa-498	14	2	test	test	NOUN
ijassa-498	14	3	results	result	NOUN
ijassa-498	14	4	demonstrate	demonstrate	VERB
ijassa-498	14	5	that	that	SCONJ
ijassa-498	14	6	under	under	ADP
ijassa-498	14	7	intensive	intensive	ADJ
ijassa-498	14	8	impacts	impact	NOUN
ijassa-498	14	9	,	,	PUNCT
ijassa-498	14	10	specimens	specimen	NOUN
ijassa-498	14	11	can	can	AUX
ijassa-498	14	12	resist	resist	VERB
ijassa-498	14	13	to	to	ADP
ijassa-498	14	14	stress	stress	NOUN
ijassa-498	14	15	level	level	NOUN
ijassa-498	14	16	significantly	significantly	ADV
ijassa-498	14	17	higher	high	ADJ
ijassa-498	14	18	than	than	ADP
ijassa-498	14	19	their	their	PRON
ijassa-498	14	20	static	static	ADJ
ijassa-498	14	21	strength	strength	NOUN
ijassa-498	14	22	σc	σc	PROPN
ijassa-498	14	23	and	and	CCONJ
ijassa-498	14	24	stress	stress	NOUN
ijassa-498	14	25	value	value	NOUN
ijassa-498	14	26	at	at	ADP
ijassa-498	14	27	fracture	fracture	PROPN
ijassa-498	14	28	moment	moment	NOUN
ijassa-498	14	29	σ∗	σ∗	NOUN
ijassa-498	14	30	depends	depend	VERB
ijassa-498	14	31	on	on	ADP
ijassa-498	14	32	the	the	DET
ijassa-498	14	33	rate	rate	NOUN
ijassa-498	14	34	of	of	ADP
ijassa-498	14	35	loading	loading	NOUN
ijassa-498	14	36	and	and	CCONJ
ijassa-498	14	37	the	the	DET
ijassa-498	14	38	shape	shape	NOUN
ijassa-498	14	39	of	of	ADP
ijassa-498	14	40	breaking	break	VERB
ijassa-498	14	41	pulse	pulse	NOUN
ijassa-498	15	1	[	[	X
ijassa-498	15	2	1–7	1–7	X
ijassa-498	15	3	]	]	PUNCT
ijassa-498	15	4	.	.	PUNCT
ijassa-498	16	1	these	these	DET
ijassa-498	16	2	strain	strain	ADJ
ijassa-498	16	3	-	-	PUNCT
ijassa-498	16	4	rate	rate	NOUN
ijassa-498	16	5	dependencies	dependency	NOUN
ijassa-498	16	6	are	be	AUX
ijassa-498	16	7	interpreted	interpret	VERB
ijassa-498	16	8	as	as	ADP
ijassa-498	16	9	passport	passport	NOUN
ijassa-498	16	10	specifications	specification	NOUN
ijassa-498	16	11	of	of	ADP
ijassa-498	16	12	materials	material	NOUN
ijassa-498	16	13	in	in	ADP
ijassa-498	16	14	certain	certain	ADJ
ijassa-498	16	15	theories	theory	NOUN
ijassa-498	16	16	.	.	PUNCT
ijassa-498	17	1	the	the	DET
ijassa-498	17	2	main	main	ADJ
ijassa-498	17	3	difficulty	difficulty	NOUN
ijassa-498	17	4	of	of	ADP
ijassa-498	17	5	these	these	DET
ijassa-498	17	6	approaches	approach	NOUN
ijassa-498	17	7	is	be	AUX
ijassa-498	17	8	that	that	SCONJ
ijassa-498	17	9	the	the	DET
ijassa-498	17	10	variety	variety	NOUN
ijassa-498	17	11	of	of	ADP
ijassa-498	17	12	strain	strain	NOUN
ijassa-498	17	13	-	-	PUNCT
ijassa-498	17	14	rate	rate	NOUN
ijassa-498	17	15	curves	curve	NOUN
ijassa-498	17	16	is	be	AUX
ijassa-498	17	17	infinite	infinite	ADJ
ijassa-498	17	18	due	due	ADJ
ijassa-498	17	19	to	to	ADP
ijassa-498	17	20	strong	strong	ADJ
ijassa-498	17	21	influence	influence	NOUN
ijassa-498	17	22	of	of	ADP
ijassa-498	17	23	impact	impact	NOUN
ijassa-498	17	24	conditions	condition	NOUN
ijassa-498	17	25	to	to	ADP
ijassa-498	17	26	σd	σd	PROPN
ijassa-498	17	27	value	value	NOUN
ijassa-498	17	28	.	.	PUNCT
ijassa-498	18	1	also	also	ADV
ijassa-498	18	2	it	it	PRON
ijassa-498	18	3	is	be	AUX
ijassa-498	18	4	impossible	impossible	ADJ
ijassa-498	18	5	to	to	PART
ijassa-498	18	6	describe	describe	VERB
ijassa-498	18	7	material	material	NOUN
ijassa-498	18	8	strength	strength	NOUN
ijassa-498	18	9	in	in	ADP
ijassa-498	18	10	the	the	DET
ijassa-498	18	11	same	same	ADJ
ijassa-498	18	12	way	way	NOUN
ijassa-498	18	13	when	when	SCONJ
ijassa-498	18	14	fracture	fracture	NOUN
ijassa-498	18	15	is	be	AUX
ijassa-498	18	16	initiated	initiate	VERB
ijassa-498	18	17	by	by	ADP
ijassa-498	18	18	threshold	threshold	NOUN
ijassa-498	18	19	impacts	impact	NOUN
ijassa-498	18	20	.	.	PUNCT
ijassa-498	19	1	in	in	ADP
ijassa-498	19	2	this	this	DET
ijassa-498	19	3	case	case	NOUN
ijassa-498	19	4	the	the	DET
ijassa-498	19	5	stress	stress	NOUN
ijassa-498	19	6	level	level	NOUN
ijassa-498	19	7	at	at	ADP
ijassa-498	19	8	the	the	DET
ijassa-498	19	9	breaking	break	VERB
ijassa-498	19	10	moment	moment	NOUN
ijassa-498	19	11	can	can	AUX
ijassa-498	19	12	be	be	AUX
ijassa-498	19	13	less	less	ADV
ijassa-498	19	14	even	even	ADV
ijassa-498	19	15	than	than	ADP
ijassa-498	19	16	the	the	DET
ijassa-498	19	17	static	static	ADJ
ijassa-498	19	18	strength	strength	NOUN
ijassa-498	19	19	,	,	PUNCT
ijassa-498	19	20	this	this	DET
ijassa-498	19	21	phenomenon	phenomenon	NOUN
ijassa-498	19	22	is	be	AUX
ijassa-498	19	23	called	call	VERB
ijassa-498	19	24	the	the	DET
ijassa-498	19	25	fracture	fracture	ADJ
ijassa-498	19	26	delay	delay	NOUN
ijassa-498	19	27	effect	effect	NOUN
ijassa-498	19	28	.	.	PUNCT
ijassa-498	20	1	the	the	DET
ijassa-498	20	2	structure	structure	NOUN
ijassa-498	20	3	-	-	PUNCT
ijassa-498	20	4	temporal	temporal	ADJ
ijassa-498	20	5	approach	approach	NOUN
ijassa-498	20	6	based	base	VERB
ijassa-498	20	7	on	on	ADP
ijassa-498	20	8	the	the	DET
ijassa-498	20	9	incubation	incubation	NOUN
ijassa-498	20	10	time	time	NOUN
ijassa-498	20	11	criterion	criterion	NOUN
ijassa-498	20	12	of	of	ADP
ijassa-498	20	13	fracture	fracture	NOUN
ijassa-498	20	14	[	[	X
ijassa-498	20	15	8,9	8,9	NUM
ijassa-498	20	16	]	]	PUNCT
ijassa-498	20	17	is	be	AUX
ijassa-498	20	18	considered	consider	VERB
ijassa-498	20	19	at	at	ADP
ijassa-498	20	20	the	the	DET
ijassa-498	20	21	present	present	ADJ
ijassa-498	20	22	work	work	NOUN
ijassa-498	20	23	.	.	PUNCT
ijassa-498	21	1	the	the	DET
ijassa-498	21	2	main	main	ADJ
ijassa-498	21	3	idea	idea	NOUN
ijassa-498	21	4	of	of	ADP
ijassa-498	21	5	this	this	DET
ijassa-498	21	6	criterion	criterion	NOUN
ijassa-498	21	7	is	be	AUX
ijassa-498	21	8	that	that	SCONJ
ijassa-498	21	9	fracture	fracture	NOUN
ijassa-498	21	10	does	do	AUX
ijassa-498	21	11	not	not	PART
ijassa-498	21	12	occur	occur	VERB
ijassa-498	21	13	instantly	instantly	ADV
ijassa-498	21	14	and	and	CCONJ
ijassa-498	21	15	there	there	PRON
ijassa-498	21	16	is	be	VERB
ijassa-498	21	17	some	some	DET
ijassa-498	21	18	characteristic	characteristic	ADJ
ijassa-498	21	19	time	time	NOUN
ijassa-498	21	20	for	for	ADP
ijassa-498	21	21	every	every	DET
ijassa-498	21	22	transient	transient	ADJ
ijassa-498	21	23	process	process	NOUN
ijassa-498	21	24	.	.	PUNCT
ijassa-498	22	1	implementation	implementation	NOUN
ijassa-498	22	2	of	of	ADP
ijassa-498	22	3	only	only	ADV
ijassa-498	22	4	one	one	NUM
ijassa-498	22	5	additional	additional	ADJ
ijassa-498	22	6	strength	strength	NOUN
ijassa-498	22	7	parameter	parameter	NOUN
ijassa-498	22	8	as	as	ADP
ijassa-498	22	9	the	the	DET
ijassa-498	22	10	incubation	incubation	NOUN
ijassa-498	22	11	time	time	NOUN
ijassa-498	22	12	τ	τ	PROPN
ijassa-498	22	13	permits	permit	VERB
ijassa-498	22	14	to	to	PART
ijassa-498	22	15	predict	predict	VERB
ijassa-498	22	16	fracture	fracture	NOUN
ijassa-498	22	17	∗corresponding	∗corresponde	VERB
ijassa-498	22	18	author	author	NOUN
ijassa-498	22	19	:	:	PUNCT
ijassa-498	22	20	m.volkova@spbu.ru	m.volkova@spbu.ru	X
ijassa-498	23	1	http://ijassa.ipu.ru/ojs/ijassa/article/view/498	http://ijassa.ipu.ru/ojs/ijassa/article/view/498	VERB
ijassa-498	23	2	dynamic	dynamic	ADJ
ijassa-498	23	3	fracture	fracture	NOUN
ijassa-498	23	4	tests	test	NOUN
ijassa-498	23	5	data	datum	NOUN
ijassa-498	23	6	analysis	analysis	NOUN
ijassa-498	23	7	based	base	VERB
ijassa-498	23	8	on	on	ADP
ijassa-498	23	9	the	the	DET
ijassa-498	23	10	randomized	randomized	ADJ
ijassa-498	23	11	approach	approach	NOUN
ijassa-498	23	12	35	35	NUM
ijassa-498	23	13	stress	stress	NOUN
ijassa-498	23	14	value	value	NOUN
ijassa-498	23	15	and	and	CCONJ
ijassa-498	23	16	calculate	calculate	VERB
ijassa-498	23	17	strain	strain	NOUN
ijassa-498	23	18	-	-	PUNCT
ijassa-498	23	19	rate	rate	NOUN
ijassa-498	23	20	dependencies	dependency	NOUN
ijassa-498	23	21	for	for	ADP
ijassa-498	23	22	all	all	DET
ijassa-498	23	23	types	type	NOUN
ijassa-498	23	24	of	of	ADP
ijassa-498	23	25	impacts	impact	NOUN
ijassa-498	23	26	.	.	PUNCT
ijassa-498	24	1	this	this	DET
ijassa-498	24	2	structuretemporal	structuretemporal	ADJ
ijassa-498	24	3	approach	approach	NOUN
ijassa-498	24	4	was	be	AUX
ijassa-498	24	5	successfully	successfully	ADV
ijassa-498	24	6	applied	apply	VERB
ijassa-498	24	7	for	for	ADP
ijassa-498	24	8	many	many	ADJ
ijassa-498	24	9	different	different	ADJ
ijassa-498	24	10	problems	problem	NOUN
ijassa-498	24	11	of	of	ADP
ijassa-498	24	12	dynamic	dynamic	ADJ
ijassa-498	24	13	strength	strength	NOUN
ijassa-498	24	14	estimation	estimation	NOUN
ijassa-498	24	15	for	for	ADP
ijassa-498	24	16	different	different	ADJ
ijassa-498	24	17	materials	material	NOUN
ijassa-498	24	18	and	and	CCONJ
ijassa-498	24	19	condensed	condense	VERB
ijassa-498	24	20	matters	matter	NOUN
ijassa-498	24	21	e.g.	e.g.	ADV
ijassa-498	24	22	dynamic	dynamic	ADJ
ijassa-498	24	23	fracture	fracture	NOUN
ijassa-498	24	24	of	of	ADP
ijassa-498	24	25	rocks	rock	NOUN
ijassa-498	24	26	and	and	CCONJ
ijassa-498	24	27	concretes	concrete	NOUN
ijassa-498	24	28	,	,	PUNCT
ijassa-498	24	29	dynamic	dynamic	ADJ
ijassa-498	24	30	yielding	yielding	NOUN
ijassa-498	24	31	of	of	ADP
ijassa-498	24	32	metals	metal	NOUN
ijassa-498	24	33	,	,	PUNCT
ijassa-498	24	34	acoustic	acoustic	ADJ
ijassa-498	24	35	ultrasonic	ultrasonic	ADJ
ijassa-498	24	36	cavitation	cavitation	NOUN
ijassa-498	24	37	of	of	ADP
ijassa-498	24	38	liquids	liquid	NOUN
ijassa-498	24	39	,	,	PUNCT
ijassa-498	24	40	etc	etc	X
ijassa-498	24	41	.	.	PUNCT
ijassa-498	25	1	[	[	X
ijassa-498	25	2	9–12	9–12	X
ijassa-498	25	3	]	]	PUNCT
ijassa-498	25	4	.	.	PUNCT
ijassa-498	26	1	the	the	DET
ijassa-498	26	2	tests	test	NOUN
ijassa-498	26	3	measuring	measure	VERB
ijassa-498	26	4	incubation	incubation	NOUN
ijassa-498	26	5	time	time	NOUN
ijassa-498	26	6	directly	directly	ADV
ijassa-498	26	7	are	be	AUX
ijassa-498	26	8	not	not	PART
ijassa-498	26	9	realized	realize	VERB
ijassa-498	26	10	,	,	PUNCT
ijassa-498	26	11	and	and	CCONJ
ijassa-498	26	12	now	now	ADV
ijassa-498	26	13	its	its	PRON
ijassa-498	26	14	value	value	NOUN
ijassa-498	26	15	could	could	AUX
ijassa-498	26	16	be	be	AUX
ijassa-498	26	17	obtained	obtain	VERB
ijassa-498	26	18	only	only	ADV
ijassa-498	26	19	implicitly	implicitly	ADV
ijassa-498	26	20	.	.	PUNCT
ijassa-498	27	1	the	the	DET
ijassa-498	27	2	simplest	simple	ADJ
ijassa-498	27	3	way	way	NOUN
ijassa-498	27	4	is	be	AUX
ijassa-498	27	5	to	to	PART
ijassa-498	27	6	select	select	VERB
ijassa-498	27	7	an	an	DET
ijassa-498	27	8	appropriate	appropriate	ADJ
ijassa-498	27	9	value	value	NOUN
ijassa-498	27	10	of	of	ADP
ijassa-498	27	11	τ	τ	PROPN
ijassa-498	27	12	ensuring	ensure	VERB
ijassa-498	27	13	good	good	ADJ
ijassa-498	27	14	correspondence	correspondence	NOUN
ijassa-498	27	15	between	between	ADP
ijassa-498	27	16	a	a	DET
ijassa-498	27	17	model	model	NOUN
ijassa-498	27	18	curve	curve	NOUN
ijassa-498	27	19	and	and	CCONJ
ijassa-498	27	20	a	a	DET
ijassa-498	27	21	scatter	scatter	NOUN
ijassa-498	27	22	of	of	ADP
ijassa-498	27	23	the	the	DET
ijassa-498	27	24	experimental	experimental	ADJ
ijassa-498	27	25	data	datum	NOUN
ijassa-498	27	26	.	.	PUNCT
ijassa-498	28	1	any	any	DET
ijassa-498	28	2	method	method	NOUN
ijassa-498	28	3	could	could	AUX
ijassa-498	28	4	be	be	AUX
ijassa-498	28	5	applied	apply	VERB
ijassa-498	28	6	for	for	ADP
ijassa-498	28	7	fitting	fitting	ADJ
ijassa-498	28	8	the	the	DET
ijassa-498	28	9	model	model	NOUN
ijassa-498	28	10	curve	curve	NOUN
ijassa-498	28	11	,	,	PUNCT
ijassa-498	28	12	e.g.	e.g.	ADV
ijassa-498	28	13	least	least	ADV
ijassa-498	28	14	mean	mean	VERB
ijassa-498	28	15	squares	square	NOUN
ijassa-498	28	16	(	(	PUNCT
ijassa-498	28	17	lms	lms	NOUN
ijassa-498	28	18	)	)	PUNCT
ijassa-498	28	19	method	method	NOUN
ijassa-498	28	20	,	,	PUNCT
ijassa-498	28	21	but	but	CCONJ
ijassa-498	28	22	it	it	PRON
ijassa-498	28	23	gives	give	VERB
ijassa-498	28	24	only	only	ADV
ijassa-498	28	25	one	one	NUM
ijassa-498	28	26	value	value	NOUN
ijassa-498	28	27	of	of	ADP
ijassa-498	28	28	the	the	DET
ijassa-498	28	29	incubation	incubation	NOUN
ijassa-498	28	30	time	time	NOUN
ijassa-498	28	31	and	and	CCONJ
ijassa-498	28	32	there	there	PRON
ijassa-498	28	33	is	be	VERB
ijassa-498	28	34	no	no	DET
ijassa-498	28	35	any	any	DET
ijassa-498	28	36	estimation	estimation	NOUN
ijassa-498	28	37	of	of	ADP
ijassa-498	28	38	inaccuracy	inaccuracy	NOUN
ijassa-498	28	39	when	when	SCONJ
ijassa-498	28	40	we	we	PRON
ijassa-498	28	41	have	have	VERB
ijassa-498	28	42	an	an	DET
ijassa-498	28	43	absence	absence	NOUN
ijassa-498	28	44	of	of	ADP
ijassa-498	28	45	any	any	DET
ijassa-498	28	46	adequate	adequate	ADJ
ijassa-498	28	47	variability	variability	NOUN
ijassa-498	28	48	in	in	ADP
ijassa-498	28	49	observations	observation	NOUN
ijassa-498	28	50	.	.	PUNCT
ijassa-498	29	1	standard	standard	ADJ
ijassa-498	29	2	estimation	estimation	NOUN
ijassa-498	29	3	algorithms	algorithm	NOUN
ijassa-498	29	4	use	use	VERB
ijassa-498	29	5	typically	typically	ADV
ijassa-498	29	6	the	the	DET
ijassa-498	29	7	condition	condition	NOUN
ijassa-498	29	8	of	of	ADP
ijassa-498	29	9	persistent	persistent	ADJ
ijassa-498	29	10	excitation	excitation	NOUN
ijassa-498	29	11	in	in	ADP
ijassa-498	29	12	data	datum	NOUN
ijassa-498	29	13	.	.	PUNCT
ijassa-498	30	1	however	however	ADV
ijassa-498	30	2	,	,	PUNCT
ijassa-498	30	3	this	this	DET
ijassa-498	30	4	condition	condition	NOUN
ijassa-498	30	5	is	be	AUX
ijassa-498	30	6	difficult	difficult	ADJ
ijassa-498	30	7	to	to	PART
ijassa-498	30	8	ensure	ensure	VERB
ijassa-498	30	9	in	in	ADP
ijassa-498	30	10	the	the	DET
ijassa-498	30	11	considered	consider	VERB
ijassa-498	30	12	problem	problem	NOUN
ijassa-498	30	13	since	since	SCONJ
ijassa-498	30	14	dynamic	dynamic	ADJ
ijassa-498	30	15	tests	test	NOUN
ijassa-498	30	16	are	be	AUX
ijassa-498	30	17	very	very	ADV
ijassa-498	30	18	complicated	complicated	ADJ
ijassa-498	30	19	and	and	CCONJ
ijassa-498	30	20	labour	labour	NOUN
ijassa-498	30	21	-	-	PUNCT
ijassa-498	30	22	consuming	consume	VERB
ijassa-498	30	23	,	,	PUNCT
ijassa-498	30	24	so	so	SCONJ
ijassa-498	30	25	usually	usually	ADV
ijassa-498	30	26	there	there	PRON
ijassa-498	30	27	are	be	VERB
ijassa-498	30	28	no	no	DET
ijassa-498	30	29	many	many	ADJ
ijassa-498	30	30	experimental	experimental	ADJ
ijassa-498	30	31	points	point	NOUN
ijassa-498	30	32	to	to	PART
ijassa-498	30	33	treat	treat	VERB
ijassa-498	30	34	.	.	PUNCT
ijassa-498	31	1	this	this	PRON
ijassa-498	31	2	often	often	ADV
ijassa-498	31	3	results	result	VERB
ijassa-498	31	4	in	in	ADP
ijassa-498	31	5	a	a	DET
ijassa-498	31	6	degenerate	degenerate	ADJ
ijassa-498	31	7	observation	observation	NOUN
ijassa-498	31	8	data	datum	NOUN
ijassa-498	31	9	and	and	CCONJ
ijassa-498	31	10	complicated	complicated	ADJ
ijassa-498	31	11	identification	identification	NOUN
ijassa-498	31	12	problems	problem	NOUN
ijassa-498	31	13	.	.	PUNCT
ijassa-498	32	1	the	the	DET
ijassa-498	32	2	wellknown	wellknown	ADJ
ijassa-498	32	3	set	set	NOUN
ijassa-498	32	4	-	-	PUNCT
ijassa-498	32	5	membership	membership	NOUN
ijassa-498	32	6	approach	approach	NOUN
ijassa-498	32	7	to	to	ADP
ijassa-498	32	8	identification	identification	NOUN
ijassa-498	32	9	uses	use	VERB
ijassa-498	32	10	no	no	DET
ijassa-498	32	11	statistical	statistical	ADJ
ijassa-498	32	12	properties	property	NOUN
ijassa-498	32	13	of	of	ADP
ijassa-498	32	14	the	the	DET
ijassa-498	32	15	noise	noise	NOUN
ijassa-498	32	16	,	,	PUNCT
ijassa-498	32	17	but	but	CCONJ
ijassa-498	32	18	assumes	assume	VERB
ijassa-498	32	19	some	some	DET
ijassa-498	32	20	known	know	VERB
ijassa-498	32	21	upper	upper	ADJ
ijassa-498	32	22	bounds	bound	NOUN
ijassa-498	32	23	on	on	ADP
ijassa-498	32	24	uncertain	uncertain	ADJ
ijassa-498	32	25	system	system	NOUN
ijassa-498	32	26	components	component	NOUN
ijassa-498	32	27	instead	instead	ADV
ijassa-498	32	28	.	.	PUNCT
ijassa-498	33	1	the	the	DET
ijassa-498	33	2	purpose	purpose	NOUN
ijassa-498	33	3	of	of	ADP
ijassa-498	33	4	the	the	DET
ijassa-498	33	5	approach	approach	NOUN
ijassa-498	33	6	is	be	AUX
ijassa-498	33	7	typically	typically	ADV
ijassa-498	33	8	to	to	PART
ijassa-498	33	9	compute	compute	VERB
ijassa-498	33	10	some	some	DET
ijassa-498	33	11	upper	upper	ADJ
ijassa-498	33	12	or	or	CCONJ
ijassa-498	33	13	lower	low	ADJ
ijassa-498	33	14	set	set	ADJ
ijassa-498	33	15	estimates	estimate	NOUN
ijassa-498	33	16	on	on	ADP
ijassa-498	33	17	the	the	DET
ijassa-498	33	18	set	set	NOUN
ijassa-498	33	19	of	of	ADP
ijassa-498	33	20	dataconsistent	dataconsistent	NOUN
ijassa-498	33	21	parameters	parameter	NOUN
ijassa-498	33	22	and	and	CCONJ
ijassa-498	33	23	no	no	DET
ijassa-498	33	24	convergence	convergence	NOUN
ijassa-498	33	25	of	of	ADP
ijassa-498	33	26	this	this	DET
ijassa-498	33	27	set	set	NOUN
ijassa-498	33	28	estimates	estimate	NOUN
ijassa-498	33	29	to	to	ADP
ijassa-498	33	30	the	the	DET
ijassa-498	33	31	true	true	ADJ
ijassa-498	33	32	unknown	unknown	ADJ
ijassa-498	33	33	parameter	parameter	NOUN
ijassa-498	33	34	vector	vector	NOUN
ijassa-498	33	35	can	can	AUX
ijassa-498	33	36	be	be	AUX
ijassa-498	33	37	achieved	achieve	VERB
ijassa-498	33	38	without	without	ADP
ijassa-498	33	39	any	any	DET
ijassa-498	33	40	significant	significant	ADJ
ijassa-498	33	41	additional	additional	ADJ
ijassa-498	33	42	assumptions	assumption	NOUN
ijassa-498	33	43	(	(	PUNCT
ijassa-498	33	44	see	see	VERB
ijassa-498	33	45	,	,	PUNCT
ijassa-498	33	46	e.g.	e.g.	ADV
ijassa-498	33	47	[	[	X
ijassa-498	33	48	13	13	NUM
ijassa-498	33	49	,	,	PUNCT
ijassa-498	33	50	14	14	NUM
ijassa-498	33	51	]	]	PUNCT
ijassa-498	33	52	)	)	PUNCT
ijassa-498	33	53	.	.	PUNCT
ijassa-498	34	1	in	in	ADP
ijassa-498	34	2	the	the	DET
ijassa-498	34	3	context	context	NOUN
ijassa-498	34	4	of	of	ADP
ijassa-498	34	5	the	the	DET
ijassa-498	34	6	considered	consider	VERB
ijassa-498	34	7	problem	problem	NOUN
ijassa-498	34	8	the	the	DET
ijassa-498	34	9	robust	robust	ADJ
ijassa-498	34	10	estimates	estimate	NOUN
ijassa-498	34	11	of	of	ADP
ijassa-498	34	12	min	min	PROPN
ijassa-498	34	13	&	&	CCONJ
ijassa-498	34	14	max	max	PROPN
ijassa-498	34	15	methods	method	NOUN
ijassa-498	34	16	give	give	VERB
ijassa-498	34	17	a	a	DET
ijassa-498	34	18	very	very	ADV
ijassa-498	34	19	wide	wide	ADJ
ijassa-498	34	20	interval	interval	NOUN
ijassa-498	34	21	for	for	ADP
ijassa-498	34	22	τ	τ	PROPN
ijassa-498	34	23	with	with	ADP
ijassa-498	34	24	high	high	ADJ
ijassa-498	34	25	inaccuracy	inaccuracy	NOUN
ijassa-498	34	26	and	and	CCONJ
ijassa-498	34	27	this	this	DET
ijassa-498	34	28	result	result	NOUN
ijassa-498	34	29	is	be	AUX
ijassa-498	34	30	very	very	ADV
ijassa-498	34	31	conservative	conservative	ADJ
ijassa-498	34	32	.	.	PUNCT
ijassa-498	35	1	randomness	randomness	NOUN
ijassa-498	35	2	of	of	ADP
ijassa-498	35	3	the	the	DET
ijassa-498	35	4	experimental	experimental	ADJ
ijassa-498	35	5	values	value	NOUN
ijassa-498	35	6	stipulates	stipulate	VERB
ijassa-498	35	7	to	to	PART
ijassa-498	35	8	use	use	VERB
ijassa-498	35	9	stochastic	stochastic	ADJ
ijassa-498	35	10	methods	method	NOUN
ijassa-498	35	11	for	for	ADP
ijassa-498	35	12	treatment	treatment	NOUN
ijassa-498	35	13	algorithms	algorithm	NOUN
ijassa-498	35	14	[	[	X
ijassa-498	35	15	15,16	15,16	NUM
ijassa-498	35	16	]	]	PUNCT
ijassa-498	35	17	.	.	PUNCT
ijassa-498	36	1	new	new	ADJ
ijassa-498	36	2	sps	sps	PROPN
ijassa-498	36	3	(	(	PUNCT
ijassa-498	36	4	sign	sign	NOUN
ijassa-498	36	5	-	-	PUNCT
ijassa-498	36	6	perturbed	perturb	VERB
ijassa-498	36	7	sums	sum	NOUN
ijassa-498	36	8	)	)	PUNCT
ijassa-498	36	9	procedure	procedure	NOUN
ijassa-498	36	10	proposed	propose	VERB
ijassa-498	36	11	in	in	ADP
ijassa-498	36	12	[	[	X
ijassa-498	36	13	17	17	NUM
ijassa-498	36	14	]	]	PUNCT
ijassa-498	36	15	provides	provide	VERB
ijassa-498	36	16	rigorously	rigorously	ADV
ijassa-498	36	17	guaranteed	guarantee	VERB
ijassa-498	36	18	non	non	ADJ
ijassa-498	36	19	-	-	ADJ
ijassa-498	36	20	asymptotic	asymptotic	ADJ
ijassa-498	36	21	confidence	confidence	NOUN
ijassa-498	36	22	regions	region	NOUN
ijassa-498	36	23	for	for	ADP
ijassa-498	36	24	the	the	DET
ijassa-498	36	25	unknown	unknown	ADJ
ijassa-498	36	26	parameters	parameter	NOUN
ijassa-498	36	27	τ	τ	X
ijassa-498	36	28	of	of	ADP
ijassa-498	36	29	a	a	DET
ijassa-498	36	30	linear	linear	ADJ
ijassa-498	36	31	dynamical	dynamical	ADJ
ijassa-498	36	32	control	control	NOUN
ijassa-498	36	33	plant	plant	NOUN
ijassa-498	36	34	in	in	ADP
ijassa-498	36	35	the	the	DET
ijassa-498	36	36	small	small	ADJ
ijassa-498	36	37	-	-	PUNCT
ijassa-498	36	38	sample	sample	NOUN
ijassa-498	36	39	setting	setting	NOUN
ijassa-498	36	40	.	.	PUNCT
ijassa-498	37	1	in	in	ADP
ijassa-498	37	2	this	this	DET
ijassa-498	37	3	paper	paper	NOUN
ijassa-498	37	4	we	we	PRON
ijassa-498	37	5	adopt	adopt	VERB
ijassa-498	37	6	this	this	DET
ijassa-498	37	7	approach	approach	NOUN
ijassa-498	37	8	to	to	ADP
ijassa-498	37	9	the	the	DET
ijassa-498	37	10	problem	problem	NOUN
ijassa-498	37	11	of	of	ADP
ijassa-498	37	12	the	the	DET
ijassa-498	37	13	incubation	incubation	NOUN
ijassa-498	37	14	time	time	NOUN
ijassa-498	37	15	evaluation	evaluation	NOUN
ijassa-498	37	16	.	.	PUNCT
ijassa-498	38	1	this	this	DET
ijassa-498	38	2	method	method	NOUN
ijassa-498	38	3	is	be	AUX
ijassa-498	38	4	applicable	applicable	ADJ
ijassa-498	38	5	to	to	ADP
ijassa-498	38	6	the	the	DET
ijassa-498	38	7	problem	problem	NOUN
ijassa-498	38	8	because	because	SCONJ
ijassa-498	38	9	it	it	PRON
ijassa-498	38	10	can	can	AUX
ijassa-498	38	11	provide	provide	VERB
ijassa-498	38	12	a	a	DET
ijassa-498	38	13	confidence	confidence	NOUN
ijassa-498	38	14	interval	interval	NOUN
ijassa-498	38	15	of	of	ADP
ijassa-498	38	16	τ	τ	PROPN
ijassa-498	38	17	with	with	ADP
ijassa-498	38	18	the	the	DET
ijassa-498	38	19	rate	rate	NOUN
ijassa-498	38	20	of	of	ADP
ijassa-498	38	21	accuracy	accuracy	NOUN
ijassa-498	38	22	admissible	admissible	ADJ
ijassa-498	38	23	for	for	ADP
ijassa-498	38	24	engineering	engineering	NOUN
ijassa-498	38	25	.	.	PUNCT
ijassa-498	39	1	approximately	approximately	ADV
ijassa-498	39	2	ten	ten	NUM
ijassa-498	39	3	data	datum	NOUN
ijassa-498	39	4	points	point	NOUN
ijassa-498	39	5	are	be	AUX
ijassa-498	39	6	enough	enough	ADJ
ijassa-498	39	7	to	to	PART
ijassa-498	39	8	determine	determine	VERB
ijassa-498	39	9	an	an	DET
ijassa-498	39	10	average	average	ADJ
ijassa-498	39	11	value	value	NOUN
ijassa-498	39	12	of	of	ADP
ijassa-498	39	13	incubation	incubation	NOUN
ijassa-498	39	14	time	time	NOUN
ijassa-498	39	15	with	with	ADP
ijassa-498	39	16	ε	ε	PROPN
ijassa-498	39	17	=	=	SYM
ijassa-498	39	18	20−	20−	NUM
ijassa-498	39	19	35	35	NUM
ijassa-498	39	20	%	%	NOUN
ijassa-498	39	21	.	.	PUNCT
ijassa-498	40	1	the	the	DET
ijassa-498	40	2	applicability	applicability	NOUN
ijassa-498	40	3	of	of	ADP
ijassa-498	40	4	the	the	DET
ijassa-498	40	5	new	new	ADJ
ijassa-498	40	6	algorithm	algorithm	NOUN
ijassa-498	40	7	to	to	ADP
ijassa-498	40	8	the	the	DET
ijassa-498	40	9	incubation	incubation	NOUN
ijassa-498	40	10	time	time	NOUN
ijassa-498	40	11	approach	approach	NOUN
ijassa-498	40	12	will	will	AUX
ijassa-498	40	13	be	be	AUX
ijassa-498	40	14	illustrated	illustrate	VERB
ijassa-498	40	15	on	on	ADP
ijassa-498	40	16	few	few	ADJ
ijassa-498	40	17	dynamic	dynamic	ADJ
ijassa-498	40	18	fracture	fracture	NOUN
ijassa-498	40	19	tests	test	NOUN
ijassa-498	40	20	of	of	ADP
ijassa-498	40	21	different	different	ADJ
ijassa-498	40	22	types	type	NOUN
ijassa-498	40	23	of	of	ADP
ijassa-498	40	24	rocks	rock	NOUN
ijassa-498	40	25	[	[	X
ijassa-498	40	26	18	18	NUM
ijassa-498	40	27	]	]	PUNCT
ijassa-498	40	28	.	.	PUNCT
ijassa-498	41	1	2	2	X
ijassa-498	41	2	.	.	X
ijassa-498	41	3	incubation	incubation	NOUN
ijassa-498	41	4	time	time	NOUN
ijassa-498	41	5	approach	approach	VERB
ijassa-498	41	6	the	the	DET
ijassa-498	41	7	main	main	ADJ
ijassa-498	41	8	features	feature	NOUN
ijassa-498	41	9	of	of	ADP
ijassa-498	41	10	the	the	DET
ijassa-498	41	11	structure	structure	NOUN
ijassa-498	41	12	-	-	PUNCT
ijassa-498	41	13	temporal	temporal	ADJ
ijassa-498	41	14	approach	approach	NOUN
ijassa-498	41	15	are	be	AUX
ijassa-498	41	16	the	the	DET
ijassa-498	41	17	following	following	NOUN
ijassa-498	41	18	.	.	PUNCT
ijassa-498	42	1	the	the	DET
ijassa-498	42	2	general	general	ADJ
ijassa-498	42	3	form	form	NOUN
ijassa-498	42	4	of	of	ADP
ijassa-498	42	5	the	the	DET
ijassa-498	42	6	incubation	incubation	NOUN
ijassa-498	42	7	time	time	NOUN
ijassa-498	42	8	criterion	criterion	NOUN
ijassa-498	42	9	is	be	AUX
ijassa-498	42	10	1	1	NUM
ijassa-498	42	11	τ	τ	NUM
ijassa-498	42	12	∫	∫	NOUN
ijassa-498	42	13	t	t	PROPN
ijassa-498	42	14	t−τ	t−τ	PROPN
ijassa-498	42	15	(	(	PUNCT
ijassa-498	42	16	σ(t′	σ(t′	NOUN
ijassa-498	42	17	)	)	PUNCT
ijassa-498	42	18	σc	σc	NOUN
ijassa-498	42	19	)	)	PUNCT
ijassa-498	42	20	α	α	NOUN
ijassa-498	42	21	dt′	dt′	NOUN
ijassa-498	42	22	≤	≤	NUM
ijassa-498	42	23	1	1	NUM
ijassa-498	42	24	(	(	PUNCT
ijassa-498	42	25	2.1	2.1	NUM
ijassa-498	42	26	)	)	PUNCT
ijassa-498	42	27	where	where	SCONJ
ijassa-498	42	28	σ(t′	σ(t′	NOUN
ijassa-498	42	29	)	)	PUNCT
ijassa-498	42	30	is	be	AUX
ijassa-498	42	31	the	the	DET
ijassa-498	42	32	loading	loading	NOUN
ijassa-498	42	33	stress	stress	NOUN
ijassa-498	42	34	function	function	NOUN
ijassa-498	42	35	,	,	PUNCT
ijassa-498	42	36	τ	τ	PROPN
ijassa-498	42	37	is	be	AUX
ijassa-498	42	38	the	the	DET
ijassa-498	42	39	incubation	incubation	NOUN
ijassa-498	42	40	time	time	NOUN
ijassa-498	42	41	of	of	ADP
ijassa-498	42	42	the	the	DET
ijassa-498	42	43	fracture	fracture	NOUN
ijassa-498	42	44	,	,	PUNCT
ijassa-498	42	45	α	α	PROPN
ijassa-498	42	46	is	be	AUX
ijassa-498	42	47	a	a	DET
ijassa-498	42	48	dimensionless	dimensionless	NOUN
ijassa-498	42	49	parameter	parameter	NOUN
ijassa-498	42	50	,	,	PUNCT
ijassa-498	42	51	for	for	ADP
ijassa-498	42	52	most	most	ADJ
ijassa-498	42	53	brittle	brittle	ADJ
ijassa-498	42	54	materials	material	NOUN
ijassa-498	42	55	α	α	NOUN
ijassa-498	42	56	=	=	SYM
ijassa-498	42	57	1	1	NUM
ijassa-498	42	58	.	.	PUNCT
ijassa-498	42	59	according	accord	VERB
ijassa-498	42	60	to	to	ADP
ijassa-498	42	61	(	(	PUNCT
ijassa-498	42	62	2.1	2.1	NUM
ijassa-498	42	63	)	)	PUNCT
ijassa-498	42	64	the	the	DET
ijassa-498	42	65	fracture	fracture	NOUN
ijassa-498	42	66	does	do	AUX
ijassa-498	42	67	not	not	PART
ijassa-498	42	68	occur	occur	VERB
ijassa-498	42	69	while	while	SCONJ
ijassa-498	42	70	left	leave	VERB
ijassa-498	42	71	part	part	NOUN
ijassa-498	42	72	of	of	ADP
ijassa-498	42	73	the	the	DET
ijassa-498	42	74	criterion	criterion	NOUN
ijassa-498	42	75	is	be	AUX
ijassa-498	42	76	less	less	ADJ
ijassa-498	42	77	than	than	ADP
ijassa-498	42	78	one	one	NUM
ijassa-498	42	79	and	and	CCONJ
ijassa-498	42	80	the	the	DET
ijassa-498	42	81	fracture	fracture	ADJ
ijassa-498	42	82	moment	moment	NOUN
ijassa-498	42	83	t∗	t∗	NOUN
ijassa-498	42	84	corresponds	correspond	VERB
ijassa-498	42	85	to	to	ADP
ijassa-498	42	86	equality	equality	NOUN
ijassa-498	42	87	.	.	PUNCT
ijassa-498	43	1	experimental	experimental	ADJ
ijassa-498	43	2	dynamic	dynamic	ADJ
ijassa-498	43	3	tests	test	NOUN
ijassa-498	43	4	are	be	AUX
ijassa-498	43	5	often	often	ADV
ijassa-498	43	6	carried	carry	VERB
ijassa-498	43	7	out	out	ADP
ijassa-498	43	8	in	in	ADP
ijassa-498	43	9	overthreshold	overthreshold	ADJ
ijassa-498	43	10	regimes	regime	NOUN
ijassa-498	43	11	hence	hence	ADV
ijassa-498	43	12	stresses	stress	NOUN
ijassa-498	43	13	grow	grow	VERB
ijassa-498	43	14	linearly	linearly	ADV
ijassa-498	43	15	until	until	ADP
ijassa-498	43	16	the	the	DET
ijassa-498	43	17	fracture	fracture	NOUN
ijassa-498	43	18	.	.	PUNCT
ijassa-498	44	1	then	then	ADV
ijassa-498	44	2	the	the	DET
ijassa-498	44	3	shape	shape	NOUN
ijassa-498	44	4	function	function	NOUN
ijassa-498	44	5	of	of	ADP
ijassa-498	44	6	the	the	DET
ijassa-498	44	7	loading	loading	NOUN
ijassa-498	44	8	impacts	impact	NOUN
ijassa-498	44	9	can	can	AUX
ijassa-498	44	10	be	be	AUX
ijassa-498	44	11	determined	determine	VERB
ijassa-498	44	12	by	by	ADP
ijassa-498	44	13	strain	strain	NOUN
ijassa-498	44	14	-	-	PUNCT
ijassa-498	44	15	rate	rate	NOUN
ijassa-498	44	16	of	of	ADP
ijassa-498	44	17	load	load	NOUN
ijassa-498	44	18	ε̇	ε̇	NOUN
ijassa-498	44	19	and	and	CCONJ
ijassa-498	44	20	elastic	elastic	ADJ
ijassa-498	44	21	modulus	modulus	NOUN
ijassa-498	44	22	k	k	NOUN
ijassa-498	44	23	:	:	PUNCT
ijassa-498	44	24	σ(t	σ(t	PROPN
ijassa-498	44	25	)	)	PUNCT
ijassa-498	45	1	=	=	SYM
ijassa-498	45	2	h(t)kε̇t	h(t)kε̇t	NOUN
ijassa-498	45	3	,	,	PUNCT
ijassa-498	45	4	(	(	PUNCT
ijassa-498	45	5	2.2	2.2	NUM
ijassa-498	45	6	)	)	PUNCT
ijassa-498	45	7	where	where	SCONJ
ijassa-498	45	8	h(t	h(t	PROPN
ijassa-498	45	9	)	)	PUNCT
ijassa-498	45	10	is	be	AUX
ijassa-498	45	11	heaviside	heaviside	ADJ
ijassa-498	45	12	step	step	NOUN
ijassa-498	45	13	function	function	NOUN
ijassa-498	45	14	.	.	PUNCT
ijassa-498	46	1	substitution	substitution	NOUN
ijassa-498	46	2	function	function	NOUN
ijassa-498	46	3	(	(	PUNCT
ijassa-498	46	4	2.2	2.2	NUM
ijassa-498	46	5	)	)	PUNCT
ijassa-498	46	6	to	to	ADP
ijassa-498	46	7	criterion	criterion	NOUN
ijassa-498	46	8	(	(	PUNCT
ijassa-498	46	9	2.1	2.1	NUM
ijassa-498	46	10	)	)	PUNCT
ijassa-498	46	11	leads	lead	VERB
ijassa-498	46	12	to	to	ADP
ijassa-498	46	13	the	the	DET
ijassa-498	46	14	following	follow	VERB
ijassa-498	46	15	equation	equation	NOUN
ijassa-498	46	16	for	for	ADP
ijassa-498	46	17	fracture	fracture	NOUN
ijassa-498	46	18	time	time	NOUN
ijassa-498	46	19	t∗	t∗	PROPN
ijassa-498	46	20	h(t∗	h(t∗	NOUN
ijassa-498	46	21	)	)	PUNCT
ijassa-498	46	22	(	(	PUNCT
ijassa-498	46	23	t∗	t∗	NOUN
ijassa-498	46	24	τ	τ	PROPN
ijassa-498	46	25	)	)	PUNCT
ijassa-498	47	1	α+1	α+1	NUM
ijassa-498	47	2	−	−	PROPN
ijassa-498	47	3	h(t∗	h(t∗	NOUN
ijassa-498	47	4	−	−	PROPN
ijassa-498	47	5	τ	τ	PROPN
ijassa-498	47	6	)	)	PUNCT
ijassa-498	47	7	(	(	PUNCT
ijassa-498	47	8	t∗	t∗	NOUN
ijassa-498	47	9	τ	τ	X
ijassa-498	47	10	−	−	NOUN
ijassa-498	47	11	1	1	NUM
ijassa-498	47	12	)	)	PUNCT
ijassa-498	47	13	α+1	α+1	NUM
ijassa-498	47	14	=	=	SYM
ijassa-498	47	15	s	s	X
ijassa-498	47	16	(	(	PUNCT
ijassa-498	47	17	2.3	2.3	NUM
ijassa-498	47	18	)	)	PUNCT
ijassa-498	47	19	copyright	copyright	NOUN
ijassa-498	47	20	c	c	ADP
ijassa-498	47	21	©	©	PROPN
ijassa-498	47	22	2017	2017	NUM
ijassa-498	47	23	assa	assa	NOUN
ijassa-498	47	24	.	.	PUNCT
ijassa-498	48	1	adv	adv	PROPN
ijassa-498	48	2	syst	syst	PROPN
ijassa-498	48	3	sci	sci	PROPN
ijassa-498	48	4	appl	appl	PROPN
ijassa-498	48	5	(	(	PUNCT
ijassa-498	48	6	2017	2017	NUM
ijassa-498	48	7	)	)	PUNCT
ijassa-498	48	8	36	36	NUM
ijassa-498	48	9	marina	marina	NOUN
ijassa-498	48	10	v.	v.	PROPN
ijassa-498	48	11	volkova	volkova	PROPN
ijassa-498	48	12	,	,	PUNCT
ijassa-498	48	13	oleg	oleg	PROPN
ijassa-498	48	14	n.	n.	PROPN
ijassa-498	48	15	granichin	granichin	PROPN
ijassa-498	48	16	,	,	PUNCT
ijassa-498	48	17	yuri.v	yuri.v	NOUN
ijassa-498	48	18	.	.	PUNCT
ijassa-498	49	1	petrov	petrov	PROPN
ijassa-498	49	2	,	,	PUNCT
ijassa-498	49	3	grigory.a	grigory.a	PROPN
ijassa-498	49	4	.	.	PUNCT
ijassa-498	50	1	volkov	volkov	PROPN
ijassa-498	50	2	fig	fig	PROPN
ijassa-498	50	3	.	.	PUNCT
ijassa-498	51	1	1	1	X
ijassa-498	51	2	.	.	X
ijassa-498	51	3	dynamic	dynamic	ADJ
ijassa-498	51	4	fracture	fracture	NOUN
ijassa-498	51	5	of	of	ADP
ijassa-498	51	6	gabbro	gabbro	NOUN
ijassa-498	51	7	-	-	PUNCT
ijassa-498	51	8	diabase	diabase	NOUN
ijassa-498	52	1	[	[	X
ijassa-498	52	2	18	18	NUM
ijassa-498	52	3	]	]	PUNCT
ijassa-498	52	4	.	.	PUNCT
ijassa-498	53	1	blue	blue	ADJ
ijassa-498	53	2	points	point	NOUN
ijassa-498	53	3	are	be	AUX
ijassa-498	53	4	experimental	experimental	ADJ
ijassa-498	53	5	data	datum	NOUN
ijassa-498	53	6	.	.	PUNCT
ijassa-498	54	1	lines	line	NOUN
ijassa-498	54	2	are	be	AUX
ijassa-498	54	3	theoretical	theoretical	ADJ
ijassa-498	54	4	curves	curve	NOUN
ijassa-498	54	5	plotted	plot	VERB
ijassa-498	54	6	by	by	ADP
ijassa-498	54	7	the	the	DET
ijassa-498	54	8	incubation	incubation	NOUN
ijassa-498	54	9	time	time	NOUN
ijassa-498	54	10	fracture	fracture	PROPN
ijassa-498	54	11	criterion	criterion	NOUN
ijassa-498	54	12	:	:	PUNCT
ijassa-498	54	13	solid	solid	ADJ
ijassa-498	54	14	line	line	NOUN
ijassa-498	54	15	least	least	ADV
ijassa-498	54	16	mean	mean	VERB
ijassa-498	54	17	squares	square	NOUN
ijassa-498	54	18	method	method	NOUN
ijassa-498	54	19	;	;	PUNCT
ijassa-498	54	20	dashed	dash	VERB
ijassa-498	54	21	lines	lines	PROPN
ijassa-498	54	22	min	min	PROPN
ijassa-498	54	23	&	&	CCONJ
ijassa-498	54	24	max	max	PROPN
ijassa-498	54	25	robust	robust	ADJ
ijassa-498	54	26	method	method	NOUN
ijassa-498	54	27	where	where	SCONJ
ijassa-498	54	28	s	s	VERB
ijassa-498	54	29	=	=	PUNCT
ijassa-498	54	30	(	(	PUNCT
ijassa-498	54	31	α	α	NOUN
ijassa-498	54	32	+	+	NOUN
ijassa-498	54	33	1	1	NUM
ijassa-498	54	34	)	)	PUNCT
ijassa-498	54	35	(	(	PUNCT
ijassa-498	54	36	σc/(kε̇τ	σc/(kε̇τ	PROPN
ijassa-498	54	37	)	)	PUNCT
ijassa-498	54	38	)	)	PUNCT
ijassa-498	55	1	α	α	PROPN
ijassa-498	55	2	is	be	AUX
ijassa-498	55	3	a	a	DET
ijassa-498	55	4	dimensionless	dimensionless	NOUN
ijassa-498	55	5	parameter	parameter	NOUN
ijassa-498	55	6	,	,	PUNCT
ijassa-498	55	7	which	which	DET
ijassa-498	55	8	value	value	NOUN
ijassa-498	55	9	depends	depend	VERB
ijassa-498	55	10	on	on	ADP
ijassa-498	55	11	strainrate	strainrate	NOUN
ijassa-498	55	12	of	of	ADP
ijassa-498	55	13	load	load	NOUN
ijassa-498	55	14	impacts	impact	NOUN
ijassa-498	55	15	.	.	PUNCT
ijassa-498	56	1	fracture	fracture	ADJ
ijassa-498	56	2	time	time	NOUN
ijassa-498	56	3	t∗	t∗	PROPN
ijassa-498	56	4	could	could	AUX
ijassa-498	56	5	not	not	PART
ijassa-498	56	6	be	be	AUX
ijassa-498	56	7	negative	negative	ADJ
ijassa-498	56	8	,	,	PUNCT
ijassa-498	56	9	hence	hence	ADV
ijassa-498	56	10	h(t∗	h(t∗	NOUN
ijassa-498	56	11	)	)	PUNCT
ijassa-498	56	12	=	=	SYM
ijassa-498	57	1	1	1	NUM
ijassa-498	58	1	and	and	CCONJ
ijassa-498	58	2	there	there	PRON
ijassa-498	58	3	are	be	VERB
ijassa-498	58	4	two	two	NUM
ijassa-498	58	5	cases	case	NOUN
ijassa-498	58	6	:	:	PUNCT
ijassa-498	58	7	when	when	SCONJ
ijassa-498	58	8	t∗	t∗	PROPN
ijassa-498	58	9	>	>	X
ijassa-498	58	10	τ	τ	PROPN
ijassa-498	58	11	or	or	CCONJ
ijassa-498	58	12	t∗	t∗	PROPN
ijassa-498	58	13	≤	≤	NUM
ijassa-498	58	14	τ	τ	X
ijassa-498	58	15	.	.	PUNCT
ijassa-498	59	1	from	from	ADP
ijassa-498	59	2	expression	expression	NOUN
ijassa-498	59	3	(	(	PUNCT
ijassa-498	59	4	2.3	2.3	NUM
ijassa-498	59	5	)	)	PUNCT
ijassa-498	59	6	it	it	PRON
ijassa-498	59	7	follows	follow	VERB
ijassa-498	59	8	that	that	PRON
ijassa-498	59	9	s	s	VERB
ijassa-498	59	10	=	=	SYM
ijassa-498	59	11	1	1	NUM
ijassa-498	59	12	for	for	ADP
ijassa-498	59	13	t∗	t∗	NOUN
ijassa-498	59	14	=	=	SYM
ijassa-498	59	15	τ	τ	PROPN
ijassa-498	59	16	,	,	PUNCT
ijassa-498	59	17	hence	hence	ADV
ijassa-498	59	18	the	the	DET
ijassa-498	59	19	final	final	ADJ
ijassa-498	59	20	equation	equation	NOUN
ijassa-498	59	21	set	set	VERB
ijassa-498	59	22	determining	determine	VERB
ijassa-498	59	23	fracture	fracture	ADJ
ijassa-498	59	24	moment	moment	NOUN
ijassa-498	59	25	t∗	t∗	NOUN
ijassa-498	59	26	is	be	AUX
ijassa-498	59	27	{	{	PUNCT
ijassa-498	59	28	(	(	PUNCT
ijassa-498	59	29	t∗/τ	t∗/τ	NOUN
ijassa-498	59	30	)	)	PUNCT
ijassa-498	59	31	α+1	α+1	NUM
ijassa-498	59	32	=	=	SYM
ijassa-498	59	33	s	s	X
ijassa-498	59	34	,	,	PUNCT
ijassa-498	59	35	s	s	PART
ijassa-498	59	36	<	<	X
ijassa-498	59	37	1	1	NUM
ijassa-498	59	38	,	,	PUNCT
ijassa-498	59	39	(	(	PUNCT
ijassa-498	59	40	t∗/τ	t∗/τ	NOUN
ijassa-498	59	41	)	)	PUNCT
ijassa-498	59	42	α+1	α+1	NUM
ijassa-498	59	43	−	−	PROPN
ijassa-498	59	44	(	(	PUNCT
ijassa-498	59	45	t∗/τ	t∗/τ	NOUN
ijassa-498	59	46	−	−	NOUN
ijassa-498	59	47	1)α+1	1)α+1	NUM
ijassa-498	59	48	=	=	SYM
ijassa-498	59	49	s	s	X
ijassa-498	59	50	,	,	PUNCT
ijassa-498	59	51	s	s	PART
ijassa-498	59	52	≥	≥	NOUN
ijassa-498	59	53	1	1	NUM
ijassa-498	59	54	.	.	PUNCT
ijassa-498	60	1	(	(	PUNCT
ijassa-498	60	2	2.4	2.4	NUM
ijassa-498	60	3	)	)	PUNCT
ijassa-498	60	4	thus	thus	ADV
ijassa-498	60	5	,	,	PUNCT
ijassa-498	60	6	incubation	incubation	NOUN
ijassa-498	60	7	time	time	NOUN
ijassa-498	60	8	approach	approach	NOUN
ijassa-498	60	9	is	be	AUX
ijassa-498	60	10	able	able	ADJ
ijassa-498	60	11	to	to	PART
ijassa-498	60	12	predict	predict	VERB
ijassa-498	60	13	strain	strain	NOUN
ijassa-498	60	14	-	-	PUNCT
ijassa-498	60	15	rate	rate	NOUN
ijassa-498	60	16	dependence	dependence	NOUN
ijassa-498	60	17	for	for	ADP
ijassa-498	60	18	the	the	DET
ijassa-498	60	19	dynamic	dynamic	ADJ
ijassa-498	60	20	threshold	threshold	NOUN
ijassa-498	60	21	of	of	ADP
ijassa-498	60	22	fracture	fracture	PROPN
ijassa-498	60	23	σ∗(ε̇	σ∗(ε̇	PROPN
ijassa-498	60	24	)	)	PUNCT
ijassa-498	61	1	=	=	VERB
ijassa-498	61	2	kε̇t∗.	kε̇t∗.	PROPN
ijassa-498	61	3	in	in	ADP
ijassa-498	61	4	most	most	ADJ
ijassa-498	61	5	cases	case	NOUN
ijassa-498	61	6	parameter	parameter	NOUN
ijassa-498	61	7	α	α	PRON
ijassa-498	61	8	equals	equal	VERB
ijassa-498	61	9	to	to	ADP
ijassa-498	61	10	1	1	NUM
ijassa-498	61	11	during	during	ADP
ijassa-498	61	12	calculation	calculation	NOUN
ijassa-498	61	13	of	of	ADP
ijassa-498	61	14	dynamic	dynamic	ADJ
ijassa-498	61	15	strength	strength	NOUN
ijassa-498	61	16	of	of	ADP
ijassa-498	61	17	brittle	brittle	ADJ
ijassa-498	61	18	materials	material	NOUN
ijassa-498	61	19	such	such	ADJ
ijassa-498	61	20	as	as	ADP
ijassa-498	61	21	rocks	rock	NOUN
ijassa-498	61	22	.	.	PUNCT
ijassa-498	62	1	then	then	ADV
ijassa-498	62	2	roots	root	NOUN
ijassa-498	62	3	of	of	ADP
ijassa-498	62	4	equation	equation	NOUN
ijassa-498	62	5	(	(	PUNCT
ijassa-498	62	6	2.4	2.4	NUM
ijassa-498	62	7	)	)	PUNCT
ijassa-498	62	8	could	could	AUX
ijassa-498	62	9	be	be	AUX
ijassa-498	62	10	expressed	express	VERB
ijassa-498	62	11	in	in	ADP
ijassa-498	62	12	an	an	DET
ijassa-498	62	13	explicit	explicit	ADJ
ijassa-498	62	14	form	form	NOUN
ijassa-498	62	15	and	and	CCONJ
ijassa-498	62	16	the	the	DET
ijassa-498	62	17	critical	critical	ADJ
ijassa-498	62	18	fracture	fracture	NOUN
ijassa-498	62	19	stress	stress	NOUN
ijassa-498	62	20	is	be	AUX
ijassa-498	62	21	the	the	DET
ijassa-498	62	22	following	follow	VERB
ijassa-498	62	23	:	:	PUNCT
ijassa-498	62	24	σ∗(ε̇	σ∗(ε̇	X
ijassa-498	62	25	)	)	PUNCT
ijassa-498	62	26	=	=	SYM
ijassa-498	62	27	ϕ(τ	ϕ(τ	PROPN
ijassa-498	62	28	,	,	PUNCT
ijassa-498	62	29	ε̇	ε̇	NOUN
ijassa-498	62	30	)	)	PUNCT
ijassa-498	62	31	=	=	PRON
ijassa-498	62	32	{	{	PUNCT
ijassa-498	62	33	σc	σc	PROPN
ijassa-498	62	34	+	+	PROPN
ijassa-498	62	35	τ	τ	X
ijassa-498	62	36	2	2	NUM
ijassa-498	62	37	kε̇	kε̇	NOUN
ijassa-498	62	38	,	,	PUNCT
ijassa-498	62	39	ε̇	ε̇	NOUN
ijassa-498	62	40	≤	≤	ADV
ijassa-498	62	41	2σc	2σc	ADJ
ijassa-498	62	42	/	/	SYM
ijassa-498	62	43	kτ,√	kτ,√	PROPN
ijassa-498	62	44	2σcτkε̇	2σcτkε̇	PROPN
ijassa-498	62	45	,	,	PUNCT
ijassa-498	62	46	ε̇	ε̇	NOUN
ijassa-498	62	47	>	>	X
ijassa-498	62	48	2σc	2σc	PROPN
ijassa-498	62	49	/	/	SYM
ijassa-498	62	50	kτ	kτ	PROPN
ijassa-498	62	51	.	.	PUNCT
ijassa-498	63	1	(	(	PUNCT
ijassa-498	63	2	2.5	2.5	NUM
ijassa-498	63	3	)	)	PUNCT
ijassa-498	63	4	an	an	DET
ijassa-498	63	5	application	application	NOUN
ijassa-498	63	6	of	of	ADP
ijassa-498	63	7	the	the	DET
ijassa-498	63	8	incubation	incubation	NOUN
ijassa-498	63	9	time	time	NOUN
ijassa-498	63	10	criterion	criterion	NOUN
ijassa-498	63	11	is	be	AUX
ijassa-498	63	12	demonstrated	demonstrate	VERB
ijassa-498	63	13	on	on	ADP
ijassa-498	63	14	the	the	DET
ijassa-498	63	15	example	example	NOUN
ijassa-498	63	16	of	of	ADP
ijassa-498	63	17	an	an	DET
ijassa-498	63	18	impact	impact	NOUN
ijassa-498	63	19	fracture	fracture	NOUN
ijassa-498	63	20	test	test	NOUN
ijassa-498	63	21	on	on	ADP
ijassa-498	63	22	gabbro	gabbro	NOUN
ijassa-498	63	23	-	-	PUNCT
ijassa-498	63	24	diabase	diabase	NOUN
ijassa-498	63	25	and	and	CCONJ
ijassa-498	63	26	marble	marble	NOUN
ijassa-498	63	27	.	.	PUNCT
ijassa-498	64	1	the	the	DET
ijassa-498	64	2	theoretical	theoretical	ADJ
ijassa-498	64	3	curve	curve	NOUN
ijassa-498	64	4	in	in	ADP
ijassa-498	64	5	comparison	comparison	NOUN
ijassa-498	64	6	with	with	ADP
ijassa-498	64	7	experimental	experimental	ADJ
ijassa-498	64	8	[	[	X
ijassa-498	64	9	18	18	NUM
ijassa-498	64	10	]	]	PUNCT
ijassa-498	64	11	points	point	NOUN
ijassa-498	64	12	is	be	AUX
ijassa-498	64	13	shown	show	VERB
ijassa-498	64	14	in	in	ADP
ijassa-498	64	15	fig	fig	NOUN
ijassa-498	64	16	.	.	PUNCT
ijassa-498	65	1	1	1	X
ijassa-498	65	2	.	.	X
ijassa-498	66	1	the	the	DET
ijassa-498	66	2	value	value	NOUN
ijassa-498	66	3	of	of	ADP
ijassa-498	66	4	τ	τ	PROPN
ijassa-498	66	5	=	=	SYM
ijassa-498	66	6	0.61	0.61	NUM
ijassa-498	66	7	µs	µs	X
ijassa-498	66	8	(	(	PUNCT
ijassa-498	66	9	solid	solid	ADJ
ijassa-498	66	10	line	line	NOUN
ijassa-498	66	11	)	)	PUNCT
ijassa-498	66	12	is	be	AUX
ijassa-498	66	13	calculated	calculate	VERB
ijassa-498	66	14	by	by	ADP
ijassa-498	66	15	lms	lm	NOUN
ijassa-498	66	16	method	method	NOUN
ijassa-498	66	17	,	,	PUNCT
ijassa-498	66	18	as	as	SCONJ
ijassa-498	66	19	it	it	PRON
ijassa-498	66	20	is	be	AUX
ijassa-498	66	21	mentioned	mention	VERB
ijassa-498	66	22	above	above	ADP
ijassa-498	66	23	this	this	DET
ijassa-498	66	24	result	result	NOUN
ijassa-498	66	25	does	do	AUX
ijassa-498	66	26	not	not	PART
ijassa-498	66	27	provide	provide	VERB
ijassa-498	66	28	any	any	DET
ijassa-498	66	29	information	information	NOUN
ijassa-498	66	30	about	about	ADP
ijassa-498	66	31	inaccuracy	inaccuracy	NOUN
ijassa-498	66	32	of	of	ADP
ijassa-498	66	33	this	this	DET
ijassa-498	66	34	value	value	NOUN
ijassa-498	66	35	.	.	PUNCT
ijassa-498	67	1	another	another	DET
ijassa-498	67	2	min	min	PROPN
ijassa-498	67	3	&	&	CCONJ
ijassa-498	67	4	max	max	PROPN
ijassa-498	67	5	method	method	PROPN
ijassa-498	67	6	gives	give	VERB
ijassa-498	67	7	very	very	ADV
ijassa-498	67	8	wide	wide	ADJ
ijassa-498	67	9	interval	interval	NOUN
ijassa-498	67	10	for	for	ADP
ijassa-498	67	11	incubation	incubation	NOUN
ijassa-498	67	12	time	time	NOUN
ijassa-498	67	13	value	value	NOUN
ijassa-498	67	14	τ	τ	PROPN
ijassa-498	67	15	∈	∈	PROPN
ijassa-498	68	1	[	[	X
ijassa-498	68	2	1.31	1.31	NUM
ijassa-498	68	3	;	;	PUNCT
ijassa-498	68	4	2.21	2.21	NUM
ijassa-498	68	5	]	]	PUNCT
ijassa-498	68	6	µs	µs	NOUN
ijassa-498	68	7	,	,	PUNCT
ijassa-498	68	8	and	and	CCONJ
ijassa-498	68	9	there	there	PRON
ijassa-498	68	10	is	be	VERB
ijassa-498	68	11	no	no	DET
ijassa-498	68	12	information	information	NOUN
ijassa-498	68	13	about	about	ADP
ijassa-498	68	14	properties	property	NOUN
ijassa-498	68	15	,	,	PUNCT
ijassa-498	68	16	that	that	SCONJ
ijassa-498	68	17	new	new	ADJ
ijassa-498	68	18	experimental	experimental	ADJ
ijassa-498	68	19	points	point	NOUN
ijassa-498	68	20	would	would	AUX
ijassa-498	68	21	lie	lie	VERB
ijassa-498	68	22	in	in	ADP
ijassa-498	68	23	this	this	DET
ijassa-498	68	24	interval	interval	NOUN
ijassa-498	68	25	.	.	PUNCT
ijassa-498	69	1	hence	hence	ADV
ijassa-498	69	2	,	,	PUNCT
ijassa-498	69	3	it	it	PRON
ijassa-498	69	4	is	be	AUX
ijassa-498	69	5	necessary	necessary	ADJ
ijassa-498	69	6	to	to	PART
ijassa-498	69	7	apply	apply	VERB
ijassa-498	69	8	some	some	DET
ijassa-498	69	9	method	method	NOUN
ijassa-498	69	10	of	of	ADP
ijassa-498	69	11	data	datum	NOUN
ijassa-498	69	12	analysis	analysis	NOUN
ijassa-498	69	13	,	,	PUNCT
ijassa-498	69	14	which	which	PRON
ijassa-498	69	15	gives	give	VERB
ijassa-498	69	16	,	,	PUNCT
ijassa-498	69	17	at	at	ADP
ijassa-498	69	18	first	first	ADV
ijassa-498	69	19	,	,	PUNCT
ijassa-498	69	20	a	a	DET
ijassa-498	69	21	more	more	ADV
ijassa-498	69	22	accurate	accurate	ADJ
ijassa-498	69	23	interval	interval	NOUN
ijassa-498	69	24	for	for	ADP
ijassa-498	69	25	possible	possible	ADJ
ijassa-498	69	26	values	value	NOUN
ijassa-498	69	27	of	of	ADP
ijassa-498	69	28	τ	τ	PROPN
ijassa-498	69	29	and	and	CCONJ
ijassa-498	69	30	,	,	PUNCT
ijassa-498	69	31	at	at	ADP
ijassa-498	69	32	second	second	ADJ
ijassa-498	69	33	,	,	PUNCT
ijassa-498	69	34	the	the	DET
ijassa-498	69	35	degree	degree	NOUN
ijassa-498	69	36	of	of	ADP
ijassa-498	69	37	confidence	confidence	NOUN
ijassa-498	69	38	in	in	ADP
ijassa-498	69	39	it	it	PRON
ijassa-498	69	40	.	.	PUNCT
ijassa-498	70	1	3	3	X
ijassa-498	70	2	.	.	X
ijassa-498	70	3	problem	problem	NOUN
ijassa-498	70	4	description	description	NOUN
ijassa-498	70	5	in	in	ADP
ijassa-498	70	6	dynamic	dynamic	ADJ
ijassa-498	70	7	test	test	NOUN
ijassa-498	70	8	experiments	experiment	NOUN
ijassa-498	70	9	we	we	PRON
ijassa-498	70	10	can	can	AUX
ijassa-498	70	11	choose	choose	VERB
ijassa-498	70	12	acting	acting	NOUN
ijassa-498	70	13	factor	factor	NOUN
ijassa-498	70	14	ε̇	ε̇	PROPN
ijassa-498	70	15	and	and	CCONJ
ijassa-498	70	16	to	to	PART
ijassa-498	70	17	get	get	VERB
ijassa-498	70	18	the	the	DET
ijassa-498	70	19	correspondent	correspondent	NOUN
ijassa-498	70	20	observation	observation	NOUN
ijassa-498	70	21	σ∗.	σ∗.	NOUN
ijassa-498	70	22	dynamic	dynamic	ADJ
ijassa-498	70	23	test	test	NOUN
ijassa-498	70	24	data	datum	NOUN
ijassa-498	70	25	are	be	AUX
ijassa-498	70	26	fitted	fit	VERB
ijassa-498	70	27	using	use	VERB
ijassa-498	70	28	the	the	DET
ijassa-498	70	29	following	follow	VERB
ijassa-498	70	30	model	model	NOUN
ijassa-498	70	31	of	of	ADP
ijassa-498	70	32	n	n	X
ijassa-498	70	33	noisy	noisy	ADJ
ijassa-498	70	34	copyright	copyright	NOUN
ijassa-498	71	1	c	c	ADP
ijassa-498	71	2	©	©	PROPN
ijassa-498	71	3	2017	2017	NUM
ijassa-498	71	4	assa	assa	NOUN
ijassa-498	71	5	.	.	PUNCT
ijassa-498	72	1	adv	adv	PROPN
ijassa-498	72	2	syst	syst	PROPN
ijassa-498	72	3	sci	sci	PROPN
ijassa-498	72	4	appl	appl	PROPN
ijassa-498	72	5	(	(	PUNCT
ijassa-498	72	6	2017	2017	NUM
ijassa-498	72	7	)	)	PUNCT
ijassa-498	72	8	dynamic	dynamic	ADJ
ijassa-498	72	9	fracture	fracture	NOUN
ijassa-498	72	10	tests	test	VERB
ijassa-498	72	11	data	datum	NOUN
ijassa-498	72	12	analysis	analysis	NOUN
ijassa-498	72	13	based	base	VERB
ijassa-498	72	14	on	on	ADP
ijassa-498	72	15	the	the	DET
ijassa-498	72	16	randomized	randomized	ADJ
ijassa-498	72	17	approach	approach	NOUN
ijassa-498	72	18	37	37	NUM
ijassa-498	72	19	observations	observation	NOUN
ijassa-498	72	20	:	:	PUNCT
ijassa-498	72	21	σ∗i	σ∗i	NUM
ijassa-498	72	22	=	=	SYM
ijassa-498	72	23	ϕ(τ	ϕ(τ	PROPN
ijassa-498	72	24	,	,	PUNCT
ijassa-498	72	25	ε̇i	ε̇i	PROPN
ijassa-498	72	26	)	)	PUNCT
ijassa-498	72	27	+	+	SYM
ijassa-498	72	28	vi	vi	X
ijassa-498	72	29	,	,	PUNCT
ijassa-498	72	30	i	i	PRON
ijassa-498	72	31	=	=	NOUN
ijassa-498	72	32	1	1	NUM
ijassa-498	72	33	,	,	PUNCT
ijassa-498	72	34	2	2	NUM
ijassa-498	72	35	,	,	PUNCT
ijassa-498	72	36	.	.	PUNCT
ijassa-498	72	37	.	.	PUNCT
ijassa-498	72	38	.	.	PUNCT
ijassa-498	73	1	,	,	PUNCT
ijassa-498	73	2	n	n	X
ijassa-498	73	3	(	(	PUNCT
ijassa-498	73	4	3.6	3.6	NUM
ijassa-498	73	5	)	)	PUNCT
ijassa-498	73	6	where	where	SCONJ
ijassa-498	73	7	vi	vi	PROPN
ijassa-498	73	8	is	be	AUX
ijassa-498	73	9	a	a	DET
ijassa-498	73	10	random	random	ADJ
ijassa-498	73	11	noise	noise	NOUN
ijassa-498	73	12	(	(	PUNCT
ijassa-498	73	13	an	an	DET
ijassa-498	73	14	inaccuracy	inaccuracy	NOUN
ijassa-498	73	15	)	)	PUNCT
ijassa-498	73	16	with	with	ADP
ijassa-498	73	17	symmetrical	symmetrical	ADJ
ijassa-498	73	18	distribution	distribution	NOUN
ijassa-498	73	19	.	.	PUNCT
ijassa-498	74	1	if	if	SCONJ
ijassa-498	74	2	the	the	DET
ijassa-498	74	3	strain	strain	ADJ
ijassa-498	74	4	-	-	PUNCT
ijassa-498	74	5	rate	rate	NOUN
ijassa-498	74	6	dependence	dependence	NOUN
ijassa-498	74	7	satisfies	satisfy	VERB
ijassa-498	74	8	the	the	DET
ijassa-498	74	9	principles	principle	NOUN
ijassa-498	74	10	of	of	ADP
ijassa-498	74	11	structure	structure	NOUN
ijassa-498	74	12	-	-	PUNCT
ijassa-498	74	13	temporal	temporal	ADJ
ijassa-498	74	14	approach	approach	NOUN
ijassa-498	74	15	,	,	PUNCT
ijassa-498	74	16	then	then	ADV
ijassa-498	74	17	function	function	VERB
ijassa-498	74	18	ϕ(τ	ϕ(τ	PROPN
ijassa-498	74	19	,	,	PUNCT
ijassa-498	74	20	ε̇i	ε̇i	PROPN
ijassa-498	74	21	)	)	PUNCT
ijassa-498	74	22	is	be	AUX
ijassa-498	74	23	ϕ(τ	ϕ(τ	PROPN
ijassa-498	74	24	,	,	PUNCT
ijassa-498	74	25	ε̇i	ε̇i	PROPN
ijassa-498	74	26	)	)	PUNCT
ijassa-498	75	1	=	=	SYM
ijassa-498	75	2	kε̇t∗(τ	kε̇t∗(τ	PROPN
ijassa-498	75	3	)	)	PUNCT
ijassa-498	75	4	,	,	PUNCT
ijassa-498	75	5	(	(	PUNCT
ijassa-498	75	6	3.7	3.7	NUM
ijassa-498	75	7	)	)	PUNCT
ijassa-498	75	8	where	where	SCONJ
ijassa-498	75	9	t∗	t∗	NOUN
ijassa-498	75	10	is	be	AUX
ijassa-498	75	11	the	the	DET
ijassa-498	75	12	fracture	fracture	ADJ
ijassa-498	75	13	time	time	NOUN
ijassa-498	75	14	predicted	predict	VERB
ijassa-498	75	15	by	by	ADP
ijassa-498	75	16	the	the	DET
ijassa-498	75	17	incubation	incubation	NOUN
ijassa-498	75	18	time	time	NOUN
ijassa-498	75	19	criterion	criterion	NOUN
ijassa-498	75	20	by	by	ADP
ijassa-498	75	21	solving	solve	VERB
ijassa-498	75	22	equation	equation	NOUN
ijassa-498	75	23	(	(	PUNCT
ijassa-498	75	24	2.4	2.4	NUM
ijassa-498	75	25	)	)	PUNCT
ijassa-498	75	26	.	.	PUNCT
ijassa-498	76	1	equation	equation	NOUN
ijassa-498	76	2	(	(	PUNCT
ijassa-498	76	3	3.7	3.7	NUM
ijassa-498	76	4	)	)	PUNCT
ijassa-498	76	5	allows	allow	VERB
ijassa-498	76	6	to	to	PART
ijassa-498	76	7	calculate	calculate	VERB
ijassa-498	76	8	fracture	fracture	NOUN
ijassa-498	76	9	stress	stress	NOUN
ijassa-498	76	10	for	for	ADP
ijassa-498	76	11	different	different	ADJ
ijassa-498	76	12	τ	τ	NOUN
ijassa-498	76	13	,	,	PUNCT
ijassa-498	76	14	then	then	ADV
ijassa-498	76	15	the	the	DET
ijassa-498	76	16	lms	lm	NOUN
ijassa-498	76	17	method	method	NOUN
ijassa-498	76	18	gives	give	VERB
ijassa-498	76	19	the	the	DET
ijassa-498	76	20	best	well	ADV
ijassa-498	76	21	fitted	fit	VERB
ijassa-498	76	22	value	value	NOUN
ijassa-498	76	23	of	of	ADP
ijassa-498	76	24	the	the	DET
ijassa-498	76	25	incubation	incubation	NOUN
ijassa-498	76	26	time	time	NOUN
ijassa-498	76	27	,	,	PUNCT
ijassa-498	76	28	for	for	ADP
ijassa-498	76	29	that	that	DET
ijassa-498	76	30	follow	follow	NOUN
ijassa-498	76	31	sum	sum	NOUN
ijassa-498	76	32	has	have	VERB
ijassa-498	76	33	a	a	DET
ijassa-498	76	34	minimum	minimum	ADJ
ijassa-498	76	35	value	value	NOUN
ijassa-498	76	36	n∑	n∑	PROPN
ijassa-498	76	37	i=1	i=1	PROPN
ijassa-498	77	1	(	(	PUNCT
ijassa-498	77	2	ϕ(τ	ϕ(τ	PROPN
ijassa-498	77	3	,	,	PUNCT
ijassa-498	77	4	ε̇i)−	ε̇i)−	PROPN
ijassa-498	77	5	σ∗i	σ∗i	NUM
ijassa-498	77	6	)	)	PUNCT
ijassa-498	77	7	2	2	NUM
ijassa-498	77	8	→	→	SYM
ijassa-498	77	9	min	min	X
ijassa-498	77	10	τ	τ	X
ijassa-498	77	11	.	.	PUNCT
ijassa-498	78	1	however	however	ADV
ijassa-498	78	2	,	,	PUNCT
ijassa-498	78	3	we	we	PRON
ijassa-498	78	4	are	be	AUX
ijassa-498	78	5	not	not	PART
ijassa-498	78	6	able	able	ADJ
ijassa-498	78	7	to	to	PART
ijassa-498	78	8	get	get	VERB
ijassa-498	78	9	a	a	DET
ijassa-498	78	10	sufficiently	sufficiently	ADV
ijassa-498	78	11	good	good	ADJ
ijassa-498	78	12	confidence	confidence	NOUN
ijassa-498	78	13	interval	interval	NOUN
ijassa-498	78	14	for	for	ADP
ijassa-498	78	15	unknown	unknown	ADJ
ijassa-498	78	16	τ	τ	PROPN
ijassa-498	78	17	without	without	ADP
ijassa-498	78	18	significant	significant	ADJ
ijassa-498	78	19	restrictions	restriction	NOUN
ijassa-498	78	20	for	for	ADP
ijassa-498	78	21	the	the	DET
ijassa-498	78	22	noise	noise	NOUN
ijassa-498	78	23	vi	vi	PROPN
ijassa-498	78	24	when	when	SCONJ
ijassa-498	78	25	n	n	X
ijassa-498	78	26	is	be	AUX
ijassa-498	78	27	small	small	ADJ
ijassa-498	78	28	.	.	PUNCT
ijassa-498	79	1	the	the	DET
ijassa-498	79	2	objective	objective	NOUN
ijassa-498	79	3	is	be	AUX
ijassa-498	79	4	to	to	PART
ijassa-498	79	5	construct	construct	VERB
ijassa-498	79	6	confidence	confidence	NOUN
ijassa-498	79	7	regions	region	NOUN
ijassa-498	79	8	for	for	ADP
ijassa-498	79	9	unknown	unknown	ADJ
ijassa-498	79	10	τ	τ	X
ijassa-498	79	11	that	that	PRON
ijassa-498	79	12	have	have	AUX
ijassa-498	79	13	guaranteed	guarantee	VERB
ijassa-498	79	14	userchosen	userchosen	ADJ
ijassa-498	79	15	confidence	confidence	NOUN
ijassa-498	79	16	probabilities	probability	NOUN
ijassa-498	79	17	for	for	ADP
ijassa-498	79	18	finite	finite	NOUN
ijassa-498	79	19	,	,	PUNCT
ijassa-498	79	20	and	and	CCONJ
ijassa-498	79	21	possibly	possibly	ADV
ijassa-498	79	22	small	small	ADJ
ijassa-498	79	23	number	number	NOUN
ijassa-498	79	24	of	of	ADP
ijassa-498	79	25	data	datum	NOUN
ijassa-498	79	26	points	point	NOUN
ijassa-498	79	27	.	.	PUNCT
ijassa-498	80	1	it	it	PRON
ijassa-498	80	2	must	must	AUX
ijassa-498	80	3	be	be	AUX
ijassa-498	80	4	defined	define	VERB
ijassa-498	80	5	by	by	ADP
ijassa-498	80	6	the	the	DET
ijassa-498	80	7	observations	observation	NOUN
ijassa-498	80	8	of	of	ADP
ijassa-498	80	9	outputs	output	NOUN
ijassa-498	80	10	{	{	PUNCT
ijassa-498	80	11	σ∗i}ni=1	σ∗i}ni=1	NOUN
ijassa-498	80	12	and	and	CCONJ
ijassa-498	80	13	known	known	ADJ
ijassa-498	80	14	acting	acting	NOUN
ijassa-498	80	15	factors	factor	NOUN
ijassa-498	80	16	{	{	PUNCT
ijassa-498	80	17	ε̇i}ni=1	ε̇i}ni=1	NOUN
ijassa-498	80	18	which	which	PRON
ijassa-498	80	19	may	may	AUX
ijassa-498	80	20	be	be	AUX
ijassa-498	80	21	chosen	choose	VERB
ijassa-498	80	22	.	.	PUNCT
ijassa-498	81	1	the	the	DET
ijassa-498	81	2	constructed	construct	VERB
ijassa-498	81	3	regions	region	NOUN
ijassa-498	81	4	are	be	AUX
ijassa-498	81	5	almost	almost	ADV
ijassa-498	81	6	distribution	distribution	NOUN
ijassa-498	81	7	-	-	PUNCT
ijassa-498	81	8	free	free	ADJ
ijassa-498	81	9	,	,	PUNCT
ijassa-498	81	10	as	as	SCONJ
ijassa-498	81	11	the	the	DET
ijassa-498	81	12	only	only	ADJ
ijassa-498	81	13	assumption	assumption	NOUN
ijassa-498	81	14	is	be	AUX
ijassa-498	81	15	the	the	DET
ijassa-498	81	16	noise	noise	NOUN
ijassa-498	81	17	to	to	PART
ijassa-498	81	18	have	have	AUX
ijassa-498	81	19	a	a	DET
ijassa-498	81	20	property	property	NOUN
ijassa-498	81	21	of	of	ADP
ijassa-498	81	22	symmetry	symmetry	NOUN
ijassa-498	81	23	.	.	PUNCT
ijassa-498	82	1	this	this	PRON
ijassa-498	82	2	is	be	AUX
ijassa-498	82	3	important	important	ADJ
ijassa-498	82	4	since	since	SCONJ
ijassa-498	82	5	in	in	ADP
ijassa-498	82	6	practice	practice	NOUN
ijassa-498	82	7	the	the	DET
ijassa-498	82	8	knowledge	knowledge	NOUN
ijassa-498	82	9	about	about	ADP
ijassa-498	82	10	the	the	DET
ijassa-498	82	11	noise	noise	NOUN
ijassa-498	82	12	distribution	distribution	NOUN
ijassa-498	82	13	is	be	AUX
ijassa-498	82	14	limited	limit	VERB
ijassa-498	82	15	.	.	PUNCT
ijassa-498	83	1	additionally	additionally	ADV
ijassa-498	83	2	,	,	PUNCT
ijassa-498	83	3	the	the	DET
ijassa-498	83	4	confidence	confidence	NOUN
ijassa-498	83	5	regions	region	NOUN
ijassa-498	83	6	should	should	AUX
ijassa-498	83	7	contain	contain	VERB
ijassa-498	83	8	the	the	DET
ijassa-498	83	9	least	least	ADJ
ijassa-498	83	10	-	-	PUNCT
ijassa-498	83	11	squares	square	NOUN
ijassa-498	83	12	point	point	NOUN
ijassa-498	83	13	estimate	estimate	NOUN
ijassa-498	83	14	.	.	PUNCT
ijassa-498	84	1	4	4	X
ijassa-498	84	2	.	.	X
ijassa-498	84	3	sps	sps	NOUN
ijassa-498	84	4	procedure	procedure	NOUN
ijassa-498	84	5	for	for	ADP
ijassa-498	84	6	constructing	constructing	NOUN
ijassa-498	84	7	of	of	ADP
ijassa-498	84	8	confidence	confidence	NOUN
ijassa-498	84	9	regions	region	NOUN
ijassa-498	84	10	for	for	ADP
ijassa-498	84	11	a	a	DET
ijassa-498	84	12	finite	finite	ADJ
ijassa-498	84	13	number	number	NOUN
ijassa-498	84	14	of	of	ADP
ijassa-498	84	15	observations	observation	NOUN
ijassa-498	84	16	we	we	PRON
ijassa-498	84	17	can	can	AUX
ijassa-498	84	18	use	use	VERB
ijassa-498	84	19	the	the	DET
ijassa-498	84	20	following	follow	VERB
ijassa-498	84	21	procedure	procedure	NOUN
ijassa-498	84	22	which	which	PRON
ijassa-498	84	23	is	be	AUX
ijassa-498	84	24	similar	similar	ADJ
ijassa-498	84	25	to	to	ADP
ijassa-498	84	26	sps	sps	NOUN
ijassa-498	84	27	procedure	procedure	NOUN
ijassa-498	84	28	from	from	ADP
ijassa-498	84	29	[	[	X
ijassa-498	84	30	17	17	NUM
ijassa-498	84	31	]	]	PUNCT
ijassa-498	84	32	:	:	PUNCT
ijassa-498	84	33	the	the	DET
ijassa-498	84	34	lms	lm	NOUN
ijassa-498	84	35	estimate	estimate	NOUN
ijassa-498	84	36	is	be	AUX
ijassa-498	84	37	obtained	obtain	VERB
ijassa-498	84	38	as	as	ADP
ijassa-498	84	39	the	the	DET
ijassa-498	84	40	solution	solution	NOUN
ijassa-498	84	41	of	of	ADP
ijassa-498	84	42	the	the	DET
ijassa-498	84	43	equation	equation	NOUN
ijassa-498	84	44	h0(τ	h0(τ	X
ijassa-498	84	45	)	)	PUNCT
ijassa-498	85	1	=	=	SYM
ijassa-498	85	2	n∑	n∑	NOUN
ijassa-498	85	3	i=1	i=1	PROPN
ijassa-498	86	1	(	(	PUNCT
ijassa-498	86	2	σ∗i	σ∗i	NUM
ijassa-498	86	3	−	−	PROPN
ijassa-498	86	4	ϕ(τ	ϕ(τ	PROPN
ijassa-498	86	5	,	,	PUNCT
ijassa-498	86	6	ε̇i	ε̇i	PROPN
ijassa-498	86	7	)	)	PUNCT
ijassa-498	86	8	)	)	PUNCT
ijassa-498	86	9	dϕ(τ	dϕ(τ	PROPN
ijassa-498	86	10	,	,	PUNCT
ijassa-498	86	11	ε̇i	ε̇i	PROPN
ijassa-498	86	12	)	)	PUNCT
ijassa-498	86	13	dτ	dτ	NOUN
ijassa-498	86	14	=	=	SYM
ijassa-498	86	15	0	0	PROPN
ijassa-498	86	16	,	,	PUNCT
ijassa-498	86	17	where	where	SCONJ
ijassa-498	86	18	dϕ(τ	dϕ(τ	NOUN
ijassa-498	86	19	,	,	PUNCT
ijassa-498	86	20	ε̇	ε̇	NOUN
ijassa-498	86	21	)	)	PUNCT
ijassa-498	86	22	dτ	dτ	NOUN
ijassa-498	87	1	=	=	NOUN
ijassa-498	87	2	{	{	PUNCT
ijassa-498	87	3	1	1	NUM
ijassa-498	87	4	2	2	NUM
ijassa-498	87	5	kε̇	kε̇	NOUN
ijassa-498	87	6	,	,	PUNCT
ijassa-498	87	7	ε̇	ε̇	NOUN
ijassa-498	87	8	≤	≤	ADV
ijassa-498	87	9	2σc	2σc	NOUN
ijassa-498	87	10	/	/	SYM
ijassa-498	87	11	kτ	kτ	PROPN
ijassa-498	87	12	,	,	PUNCT
ijassa-498	87	13	1√	1√	PROPN
ijassa-498	87	14	2τ	2τ	NUM
ijassa-498	87	15	√	√	NUM
ijassa-498	87	16	σckε̇	σckε̇	NOUN
ijassa-498	87	17	,	,	PUNCT
ijassa-498	87	18	ε̇	ε̇	PROPN
ijassa-498	87	19	>	>	X
ijassa-498	87	20	2σc	2σc	PROPN
ijassa-498	87	21	/	/	SYM
ijassa-498	87	22	kτ	kτ	PROPN
ijassa-498	87	23	.	.	PUNCT
ijassa-498	88	1	we	we	PRON
ijassa-498	88	2	will	will	AUX
ijassa-498	88	3	try	try	VERB
ijassa-498	88	4	to	to	PART
ijassa-498	88	5	exploit	exploit	VERB
ijassa-498	88	6	the	the	DET
ijassa-498	88	7	information	information	NOUN
ijassa-498	88	8	in	in	ADP
ijassa-498	88	9	the	the	DET
ijassa-498	88	10	data	datum	NOUN
ijassa-498	88	11	as	as	ADV
ijassa-498	88	12	much	much	ADV
ijassa-498	88	13	as	as	ADP
ijassa-498	88	14	possible	possible	ADJ
ijassa-498	88	15	while	while	SCONJ
ijassa-498	88	16	assuming	assume	VERB
ijassa-498	88	17	minimal	minimal	ADJ
ijassa-498	88	18	prior	prior	ADJ
ijassa-498	88	19	statistical	statistical	ADJ
ijassa-498	88	20	knowledge	knowledge	NOUN
ijassa-498	88	21	about	about	ADP
ijassa-498	88	22	the	the	DET
ijassa-498	88	23	noise	noise	NOUN
ijassa-498	88	24	.	.	PUNCT
ijassa-498	89	1	our	our	PRON
ijassa-498	89	2	core	core	NOUN
ijassa-498	89	3	assumption	assumption	NOUN
ijassa-498	89	4	is	be	AUX
ijassa-498	89	5	the	the	DET
ijassa-498	89	6	symmetry	symmetry	NOUN
ijassa-498	89	7	of	of	ADP
ijassa-498	89	8	the	the	DET
ijassa-498	89	9	noise	noise	NOUN
ijassa-498	89	10	.	.	PUNCT
ijassa-498	90	1	for	for	ADP
ijassa-498	90	2	some	some	DET
ijassa-498	90	3	m	m	NOUN
ijassa-498	90	4	>	>	X
ijassa-498	90	5	0	0	NUM
ijassa-498	90	6	we	we	PRON
ijassa-498	90	7	generate	generate	VERB
ijassa-498	90	8	n(m	n(m	PROPN
ijassa-498	90	9	−	−	NOUN
ijassa-498	90	10	1	1	NUM
ijassa-498	90	11	)	)	PUNCT
ijassa-498	90	12	bernoulli	bernoulli	NOUN
ijassa-498	90	13	random	random	ADJ
ijassa-498	90	14	values	value	NOUN
ijassa-498	90	15	βij	βij	VERB
ijassa-498	91	1	=	=	PUNCT
ijassa-498	91	2	±1	±1	VERB
ijassa-498	91	3	with	with	ADP
ijassa-498	91	4	probability	probability	NOUN
ijassa-498	91	5	of	of	ADP
ijassa-498	91	6	1/2	1/2	NUM
ijassa-498	91	7	,	,	PUNCT
ijassa-498	91	8	and	and	CCONJ
ijassa-498	91	9	introduce	introduce	VERB
ijassa-498	91	10	m	m	NOUN
ijassa-498	91	11	−	−	NUM
ijassa-498	91	12	1	1	NUM
ijassa-498	91	13	sign	sign	NOUN
ijassa-498	91	14	-	-	PUNCT
ijassa-498	91	15	perturbed	perturb	VERB
ijassa-498	91	16	sums	sum	NOUN
ijassa-498	91	17	hj(τ	hj(τ	NOUN
ijassa-498	91	18	)	)	PUNCT
ijassa-498	91	19	=	=	SYM
ijassa-498	92	1	n∑	n∑	NOUN
ijassa-498	92	2	i=1	i=1	X
ijassa-498	93	1	βij(σ∗i	βij(σ∗i	ADP
ijassa-498	93	2	−	−	PROPN
ijassa-498	93	3	ϕ(τ	ϕ(τ	PROPN
ijassa-498	93	4	,	,	PUNCT
ijassa-498	93	5	ε̇i	ε̇i	PROPN
ijassa-498	93	6	)	)	PUNCT
ijassa-498	93	7	)	)	PUNCT
ijassa-498	93	8	dϕ(τ	dϕ(τ	PROPN
ijassa-498	93	9	,	,	PUNCT
ijassa-498	93	10	ε̇i	ε̇i	PROPN
ijassa-498	93	11	)	)	PUNCT
ijassa-498	93	12	dτ	dτ	PROPN
ijassa-498	93	13	,	,	PUNCT
ijassa-498	93	14	j	j	PROPN
ijassa-498	93	15	=	=	SYM
ijassa-498	93	16	1	1	NUM
ijassa-498	93	17	,	,	PUNCT
ijassa-498	93	18	2	2	NUM
ijassa-498	93	19	,	,	PUNCT
ijassa-498	93	20	.	.	PUNCT
ijassa-498	93	21	.	.	PUNCT
ijassa-498	93	22	.	.	PUNCT
ijassa-498	94	1	,	,	PUNCT
ijassa-498	94	2	m	m	VERB
ijassa-498	94	3	−	−	NOUN
ijassa-498	95	1	1	1	NUM
ijassa-498	95	2	.	.	PUNCT
ijassa-498	96	1	if	if	SCONJ
ijassa-498	96	2	τ	τ	PROPN
ijassa-498	96	3	?	?	PUNCT
ijassa-498	96	4	is	be	AUX
ijassa-498	96	5	a	a	DET
ijassa-498	96	6	nominal	nominal	ADJ
ijassa-498	96	7	value	value	NOUN
ijassa-498	96	8	of	of	ADP
ijassa-498	96	9	τ	τ	PROPN
ijassa-498	96	10	then	then	ADV
ijassa-498	96	11	h0(τ	h0(τ	X
ijassa-498	96	12	?	?	PUNCT
ijassa-498	96	13	)	)	PUNCT
ijassa-498	96	14	and	and	CCONJ
ijassa-498	96	15	hj(τ	hj(τ	X
ijassa-498	96	16	?	?	PUNCT
ijassa-498	96	17	)	)	PUNCT
ijassa-498	96	18	have	have	VERB
ijassa-498	96	19	the	the	DET
ijassa-498	96	20	same	same	ADJ
ijassa-498	96	21	distribution	distribution	NOUN
ijassa-498	96	22	since	since	SCONJ
ijassa-498	96	23	{	{	PUNCT
ijassa-498	96	24	vi	vi	NOUN
ijassa-498	96	25	}	}	PUNCT
ijassa-498	96	26	are	be	AUX
ijassa-498	96	27	symmetric	symmetric	ADJ
ijassa-498	96	28	.	.	PUNCT
ijassa-498	97	1	therefore	therefore	ADV
ijassa-498	97	2	,	,	PUNCT
ijassa-498	97	3	there	there	PRON
ijassa-498	97	4	is	be	VERB
ijassa-498	97	5	no	no	DET
ijassa-498	97	6	reason	reason	NOUN
ijassa-498	97	7	why	why	SCONJ
ijassa-498	97	8	a	a	DET
ijassa-498	97	9	particular	particular	ADJ
ijassa-498	97	10	|hj(τ	|hj(τ	PROPN
ijassa-498	97	11	?	?	PUNCT
ijassa-498	97	12	)	)	PUNCT
ijassa-498	98	1	|	|	ADV
ijassa-498	98	2	should	should	AUX
ijassa-498	98	3	be	be	AUX
ijassa-498	98	4	bigger	big	ADJ
ijassa-498	98	5	or	or	CCONJ
ijassa-498	98	6	smaller	small	ADJ
ijassa-498	98	7	than	than	ADP
ijassa-498	98	8	another	another	DET
ijassa-498	98	9	|hj′(τ	|hj′(τ	NOUN
ijassa-498	98	10	?	?	PUNCT
ijassa-498	98	11	)	)	PUNCT
ijassa-498	99	1	|	|	ADV
ijassa-498	99	2	and	and	CCONJ
ijassa-498	99	3	the	the	DET
ijassa-498	99	4	probability	probability	NOUN
ijassa-498	99	5	that	that	SCONJ
ijassa-498	99	6	a	a	DET
ijassa-498	99	7	particular	particular	ADJ
ijassa-498	99	8	|hj(τ	|hj(τ	PROPN
ijassa-498	99	9	?	?	PUNCT
ijassa-498	99	10	)	)	PUNCT
ijassa-498	100	1	|	|	ADV
ijassa-498	100	2	is	be	AUX
ijassa-498	100	3	the	the	DET
ijassa-498	100	4	m	m	PROPN
ijassa-498	100	5	-	-	PUNCT
ijassa-498	100	6	th	th	VERB
ijassa-498	100	7	copyright	copyright	NOUN
ijassa-498	100	8	c	c	ADP
ijassa-498	100	9	©	©	PROPN
ijassa-498	100	10	2017	2017	NUM
ijassa-498	100	11	assa	assa	NOUN
ijassa-498	100	12	.	.	PUNCT
ijassa-498	101	1	adv	adv	PROPN
ijassa-498	101	2	syst	syst	PROPN
ijassa-498	101	3	sci	sci	PROPN
ijassa-498	101	4	appl	appl	PROPN
ijassa-498	101	5	(	(	PUNCT
ijassa-498	101	6	2017	2017	NUM
ijassa-498	101	7	)	)	PUNCT
ijassa-498	101	8	38	38	NUM
ijassa-498	101	9	marina	marina	NOUN
ijassa-498	101	10	v.	v.	PROPN
ijassa-498	101	11	volkova	volkova	PROPN
ijassa-498	101	12	,	,	PUNCT
ijassa-498	101	13	oleg	oleg	PROPN
ijassa-498	101	14	n.	n.	PROPN
ijassa-498	101	15	granichin	granichin	PROPN
ijassa-498	101	16	,	,	PUNCT
ijassa-498	101	17	yuri.v	yuri.v	NOUN
ijassa-498	101	18	.	.	PUNCT
ijassa-498	102	1	petrov	petrov	PROPN
ijassa-498	102	2	,	,	PUNCT
ijassa-498	102	3	grigory.a	grigory.a	PROPN
ijassa-498	102	4	.	.	PUNCT
ijassa-498	103	1	volkov	volkov	PROPN
ijassa-498	103	2	largest	large	ADJ
ijassa-498	103	3	one	one	NUM
ijassa-498	103	4	in	in	ADP
ijassa-498	103	5	the	the	DET
ijassa-498	103	6	ordering	ordering	NOUN
ijassa-498	103	7	of	of	ADP
ijassa-498	103	8	{	{	PUNCT
ijassa-498	103	9	|hj(τ	|hj(τ	PROPN
ijassa-498	103	10	?	?	PUNCT
ijassa-498	103	11	)	)	PUNCT
ijassa-498	103	12	|}m−1j=0	|}m−1j=0	NUM
ijassa-498	103	13	will	will	AUX
ijassa-498	103	14	be	be	AUX
ijassa-498	103	15	the	the	DET
ijassa-498	103	16	same	same	ADJ
ijassa-498	103	17	for	for	ADP
ijassa-498	103	18	all	all	DET
ijassa-498	103	19	j	j	NOUN
ijassa-498	103	20	,	,	PUNCT
ijassa-498	103	21	including	include	VERB
ijassa-498	103	22	j	j	PROPN
ijassa-498	103	23	=	=	SYM
ijassa-498	103	24	0	0	PUNCT
ijassa-498	103	25	(	(	PUNCT
ijassa-498	103	26	the	the	DET
ijassa-498	103	27	case	case	NOUN
ijassa-498	103	28	where	where	SCONJ
ijassa-498	103	29	there	there	PRON
ijassa-498	103	30	are	be	VERB
ijassa-498	103	31	no	no	DET
ijassa-498	103	32	sign	sign	NOUN
ijassa-498	103	33	-	-	PUNCT
ijassa-498	103	34	perturbations	perturbation	NOUN
ijassa-498	103	35	)	)	PUNCT
ijassa-498	103	36	.	.	PUNCT
ijassa-498	104	1	as	as	SCONJ
ijassa-498	104	2	it	it	PRON
ijassa-498	104	3	can	can	AUX
ijassa-498	104	4	take	take	VERB
ijassa-498	104	5	different	different	ADJ
ijassa-498	104	6	values	value	NOUN
ijassa-498	104	7	,	,	PUNCT
ijassa-498	104	8	this	this	DET
ijassa-498	104	9	probability	probability	NOUN
ijassa-498	104	10	is	be	AUX
ijassa-498	104	11	exactly	exactly	ADV
ijassa-498	104	12	1	1	NUM
ijassa-498	104	13	/	/	SYM
ijassa-498	104	14	m	m	NOUN
ijassa-498	104	15	.	.	PUNCT
ijassa-498	105	1	algorithm	algorithm	NOUN
ijassa-498	105	2	:	:	PUNCT
ijassa-498	105	3	1	1	X
ijassa-498	105	4	.	.	PUNCT
ijassa-498	105	5	given	give	VERB
ijassa-498	105	6	a	a	DET
ijassa-498	105	7	(	(	PUNCT
ijassa-498	105	8	rational	rational	ADJ
ijassa-498	105	9	)	)	PUNCT
ijassa-498	105	10	confidence	confidence	NOUN
ijassa-498	105	11	probability	probability	NOUN
ijassa-498	105	12	p	p	X
ijassa-498	105	13	∈	∈	PROPN
ijassa-498	105	14	(	(	PUNCT
ijassa-498	105	15	0	0	NUM
ijassa-498	105	16	,	,	PUNCT
ijassa-498	105	17	1	1	NUM
ijassa-498	105	18	)	)	PUNCT
ijassa-498	105	19	,	,	PUNCT
ijassa-498	105	20	set	set	VERB
ijassa-498	105	21	integers	integer	NOUN
ijassa-498	105	22	m	m	VERB
ijassa-498	105	23	>	>	X
ijassa-498	105	24	q	q	X
ijassa-498	105	25	>	>	X
ijassa-498	105	26	0	0	NUM
ijassa-498	106	1	such	such	ADJ
ijassa-498	106	2	that	that	SCONJ
ijassa-498	106	3	p	p	NOUN
ijassa-498	106	4	=	=	SYM
ijassa-498	106	5	1−	1−	NUM
ijassa-498	106	6	q	q	NOUN
ijassa-498	106	7	/	/	SYM
ijassa-498	106	8	m	m	NOUN
ijassa-498	106	9	.	.	PUNCT
ijassa-498	107	1	2	2	X
ijassa-498	107	2	.	.	X
ijassa-498	107	3	generate	generate	VERB
ijassa-498	107	4	n(m	n(m	PROPN
ijassa-498	107	5	−	−	ADP
ijassa-498	107	6	1	1	NUM
ijassa-498	107	7	)	)	PUNCT
ijassa-498	107	8	i.i.d	i.i.d	ADJ
ijassa-498	107	9	.	.	PUNCT
ijassa-498	108	1	random	random	ADJ
ijassa-498	108	2	signs	sign	NOUN
ijassa-498	108	3	{	{	PUNCT
ijassa-498	108	4	βij	βij	NOUN
ijassa-498	108	5	}	}	PUNCT
ijassa-498	108	6	with	with	ADP
ijassa-498	108	7	prob{βij	prob{βij	PROPN
ijassa-498	108	8	=	=	SYM
ijassa-498	108	9	1	1	NUM
ijassa-498	108	10	}	}	PUNCT
ijassa-498	108	11	=	=	NOUN
ijassa-498	108	12	=	=	SYM
ijassa-498	108	13	prob{βij	prob{βij	NUM
ijassa-498	108	14	=	=	SYM
ijassa-498	108	15	−1	−1	NOUN
ijassa-498	108	16	}	}	PUNCT
ijassa-498	108	17	=	=	SYM
ijassa-498	108	18	1/2	1/2	NUM
ijassa-498	108	19	for	for	ADP
ijassa-498	108	20	i	i	PRON
ijassa-498	108	21	=	=	NOUN
ijassa-498	108	22	1	1	NUM
ijassa-498	108	23	,	,	PUNCT
ijassa-498	108	24	2	2	NUM
ijassa-498	108	25	,	,	PUNCT
ijassa-498	108	26	.	.	PUNCT
ijassa-498	108	27	.	.	PUNCT
ijassa-498	108	28	.	.	PUNCT
ijassa-498	108	29	,	,	PUNCT
ijassa-498	108	30	n	n	PROPN
ijassa-498	108	31	and	and	CCONJ
ijassa-498	108	32	j	j	PROPN
ijassa-498	108	33	=	=	SYM
ijassa-498	108	34	1	1	NUM
ijassa-498	108	35	,	,	PUNCT
ijassa-498	108	36	2	2	NUM
ijassa-498	108	37	,	,	PUNCT
ijassa-498	108	38	.	.	PUNCT
ijassa-498	108	39	.	.	PUNCT
ijassa-498	108	40	.	.	PUNCT
ijassa-498	109	1	,	,	PUNCT
ijassa-498	109	2	m	m	VERB
ijassa-498	109	3	−	−	NOUN
ijassa-498	110	1	1	1	NUM
ijassa-498	110	2	.	.	X
ijassa-498	111	1	3	3	X
ijassa-498	111	2	.	.	X
ijassa-498	111	3	set	set	VERB
ijassa-498	111	4	t	t	PROPN
ijassa-498	111	5	:	:	PUNCT
ijassa-498	111	6	=	=	SYM
ijassa-498	111	7	{	{	PUNCT
ijassa-498	111	8	τ	τ	X
ijassa-498	111	9	:	:	PUNCT
ijassa-498	111	10	sps	sps	PROPN
ijassa-498	111	11	indicator(τ	indicator(τ	PROPN
ijassa-498	111	12	)	)	PUNCT
ijassa-498	111	13	=	=	PUNCT
ijassa-498	111	14	1	1	NUM
ijassa-498	111	15	}	}	PUNCT
ijassa-498	111	16	.	.	PUNCT
ijassa-498	112	1	procedure	procedure	NOUN
ijassa-498	112	2	:	:	PUNCT
ijassa-498	112	3	sps	sps	PROPN
ijassa-498	112	4	indicator(τ	indicator(τ	PROPN
ijassa-498	112	5	)	)	PUNCT
ijassa-498	112	6	1	1	NUM
ijassa-498	112	7	.	.	X
ijassa-498	113	1	for	for	ADP
ijassa-498	113	2	the	the	DET
ijassa-498	113	3	given	give	VERB
ijassa-498	113	4	τ	τ	PROPN
ijassa-498	113	5	compute	compute	VERB
ijassa-498	113	6	the	the	DET
ijassa-498	113	7	prediction	prediction	NOUN
ijassa-498	113	8	error	error	NOUN
ijassa-498	113	9	for	for	ADP
ijassa-498	113	10	i	i	PRON
ijassa-498	113	11	=	=	NOUN
ijassa-498	113	12	1	1	NUM
ijassa-498	113	13	,	,	PUNCT
ijassa-498	113	14	2	2	NUM
ijassa-498	113	15	,	,	PUNCT
ijassa-498	113	16	.	.	PUNCT
ijassa-498	113	17	.	.	PUNCT
ijassa-498	113	18	.	.	PUNCT
ijassa-498	114	1	,	,	PUNCT
ijassa-498	114	2	n	n	PRON
ijassa-498	114	3	δi(τ	δi(τ	NUM
ijassa-498	114	4	)	)	PUNCT
ijassa-498	114	5	=	=	SYM
ijassa-498	114	6	σ∗i	σ∗i	NUM
ijassa-498	114	7	−	−	PROPN
ijassa-498	114	8	ϕ(τ	ϕ(τ	PROPN
ijassa-498	114	9	,	,	PUNCT
ijassa-498	114	10	ε̇i	ε̇i	PROPN
ijassa-498	114	11	)	)	PUNCT
ijassa-498	114	12	.	.	PUNCT
ijassa-498	115	1	2	2	X
ijassa-498	115	2	.	.	X
ijassa-498	115	3	evaluate	evaluate	VERB
ijassa-498	115	4	h0(τ	h0(τ	SYM
ijassa-498	115	5	)	)	PUNCT
ijassa-498	116	1	=	=	SYM
ijassa-498	116	2	n∑	n∑	PROPN
ijassa-498	116	3	i=1	i=1	PROPN
ijassa-498	116	4	δi(τ	δi(τ	NUM
ijassa-498	116	5	)	)	PUNCT
ijassa-498	116	6	dϕ(τ	dϕ(τ	PROPN
ijassa-498	116	7	,	,	PUNCT
ijassa-498	116	8	ε̇i	ε̇i	PROPN
ijassa-498	116	9	)	)	PUNCT
ijassa-498	116	10	dτ	dτ	NOUN
ijassa-498	116	11	,	,	PUNCT
ijassa-498	116	12	hj(τ	hj(τ	NUM
ijassa-498	116	13	)	)	PUNCT
ijassa-498	117	1	=	=	PUNCT
ijassa-498	118	1	n∑	n∑	PROPN
ijassa-498	118	2	i=1	i=1	PROPN
ijassa-498	118	3	βijδi(τ	βijδi(τ	PROPN
ijassa-498	118	4	)	)	PUNCT
ijassa-498	118	5	dϕ(τ	dϕ(τ	PROPN
ijassa-498	118	6	,	,	PUNCT
ijassa-498	118	7	ε̇i	ε̇i	PROPN
ijassa-498	118	8	)	)	PUNCT
ijassa-498	118	9	dτ	dτ	NOUN
ijassa-498	118	10	,	,	PUNCT
ijassa-498	118	11	for	for	ADP
ijassa-498	118	12	j	j	PROPN
ijassa-498	118	13	=	=	SYM
ijassa-498	118	14	1	1	NUM
ijassa-498	118	15	,	,	PUNCT
ijassa-498	118	16	2	2	NUM
ijassa-498	118	17	,	,	PUNCT
ijassa-498	118	18	.	.	PUNCT
ijassa-498	118	19	.	.	PUNCT
ijassa-498	119	1	.	.	PUNCT
ijassa-498	120	1	,	,	PUNCT
ijassa-498	120	2	m	m	VERB
ijassa-498	120	3	−	−	NOUN
ijassa-498	121	1	1	1	NUM
ijassa-498	121	2	.	.	NOUN
ijassa-498	121	3	3	3	X
ijassa-498	121	4	.	.	X
ijassa-498	121	5	order	order	NOUN
ijassa-498	121	6	scalars	scalar	VERB
ijassa-498	121	7	|hj(τ)|	|hj(τ)|	ADV
ijassa-498	121	8	from	from	ADP
ijassa-498	121	9	smallest	small	ADJ
ijassa-498	121	10	to	to	AUX
ijassa-498	121	11	biggest	big	ADJ
ijassa-498	121	12	.	.	PUNCT
ijassa-498	122	1	4	4	X
ijassa-498	122	2	.	.	X
ijassa-498	122	3	compute	compute	VERB
ijassa-498	122	4	the	the	DET
ijassa-498	122	5	rank	rank	PROPN
ijassa-498	122	6	r(τ	r(τ	PROPN
ijassa-498	122	7	)	)	PUNCT
ijassa-498	122	8	of	of	ADP
ijassa-498	122	9	|h0(τ)|	|h0(τ)|	PROPN
ijassa-498	122	10	in	in	ADP
ijassa-498	122	11	the	the	DET
ijassa-498	122	12	ordering	ordering	NOUN
ijassa-498	122	13	,	,	PUNCT
ijassa-498	122	14	where	where	SCONJ
ijassa-498	122	15	r(τ	r(τ	NOUN
ijassa-498	122	16	)	)	PUNCT
ijassa-498	123	1	=	=	PUNCT
ijassa-498	123	2	1	1	NUM
ijassa-498	123	3	if	if	SCONJ
ijassa-498	123	4	|h0(τ)|	|h0(τ)|	PROPN
ijassa-498	123	5	is	be	AUX
ijassa-498	123	6	the	the	DET
ijassa-498	123	7	smallest	small	ADJ
ijassa-498	123	8	in	in	ADP
ijassa-498	123	9	the	the	DET
ijassa-498	123	10	ordering	ordering	NOUN
ijassa-498	123	11	,	,	PUNCT
ijassa-498	123	12	r(τ	r(τ	PROPN
ijassa-498	123	13	)	)	PUNCT
ijassa-498	124	1	=	=	SYM
ijassa-498	124	2	2	2	NUM
ijassa-498	124	3	if	if	SCONJ
ijassa-498	124	4	|h0(τ)|	|h0(τ)|	PROPN
ijassa-498	124	5	is	be	AUX
ijassa-498	124	6	the	the	DET
ijassa-498	124	7	second	second	ADJ
ijassa-498	124	8	smallest	small	ADJ
ijassa-498	124	9	,	,	PUNCT
ijassa-498	124	10	and	and	CCONJ
ijassa-498	124	11	so	so	ADV
ijassa-498	124	12	on	on	ADV
ijassa-498	124	13	.	.	PUNCT
ijassa-498	125	1	5	5	X
ijassa-498	125	2	.	.	X
ijassa-498	125	3	return	return	VERB
ijassa-498	125	4	1	1	NUM
ijassa-498	125	5	ifr(τ	ifr(τ	PROPN
ijassa-498	125	6	)	)	PUNCT
ijassa-498	125	7	≤m	≤m	NOUN
ijassa-498	126	1	−	−	PROPN
ijassa-498	127	1	q	q	NOUN
ijassa-498	127	2	,	,	PUNCT
ijassa-498	127	3	otherwise	otherwise	ADV
ijassa-498	127	4	return	return	VERB
ijassa-498	127	5	0	0	NUM
ijassa-498	127	6	.	.	PUNCT
ijassa-498	128	1	note	note	VERB
ijassa-498	128	2	that	that	SCONJ
ijassa-498	128	3	the	the	DET
ijassa-498	128	4	lms	lm	NOUN
ijassa-498	128	5	estimate	estimate	NOUN
ijassa-498	128	6	τ̂	τ̂	PUNCT
ijassa-498	128	7	has	have	VERB
ijassa-498	128	8	by	by	ADP
ijassa-498	128	9	definition	definition	NOUN
ijassa-498	128	10	the	the	DET
ijassa-498	128	11	property	property	NOUN
ijassa-498	128	12	that	that	PRON
ijassa-498	128	13	h0(τ̂	h0(τ̂	NOUN
ijassa-498	128	14	)	)	PUNCT
ijassa-498	128	15	=	=	SYM
ijassa-498	129	1	0	0	X
ijassa-498	129	2	.	.	PUNCT
ijassa-498	130	1	therefore	therefore	ADV
ijassa-498	130	2	,	,	PUNCT
ijassa-498	130	3	the	the	DET
ijassa-498	130	4	lms	lm	NOUN
ijassa-498	130	5	estimate	estimate	NOUN
ijassa-498	130	6	τ̂	τ̂	PUNCT
ijassa-498	130	7	is	be	AUX
ijassa-498	130	8	included	include	VERB
ijassa-498	130	9	in	in	ADP
ijassa-498	130	10	the	the	DET
ijassa-498	130	11	sps	sps	NOUN
ijassa-498	130	12	confidence	confidence	NOUN
ijassa-498	130	13	region	region	NOUN
ijassa-498	130	14	.	.	PUNCT
ijassa-498	131	1	the	the	DET
ijassa-498	131	2	probability	probability	NOUN
ijassa-498	131	3	that	that	SCONJ
ijassa-498	131	4	τ	τ	PROPN
ijassa-498	131	5	?	?	PUNCT
ijassa-498	131	6	belongs	belong	VERB
ijassa-498	131	7	to	to	ADP
ijassa-498	131	8	t	t	PROPN
ijassa-498	131	9	is	be	AUX
ijassa-498	131	10	given	give	VERB
ijassa-498	131	11	in	in	ADP
ijassa-498	131	12	the	the	DET
ijassa-498	131	13	following	follow	VERB
ijassa-498	131	14	theorem	theorem	NOUN
ijassa-498	131	15	.	.	PUNCT
ijassa-498	131	16	theorem	theorem	NOUN
ijassa-498	131	17	1	1	NUM
ijassa-498	131	18	:	:	PUNCT
ijassa-498	131	19	if	if	SCONJ
ijassa-498	131	20	the	the	DET
ijassa-498	131	21	observation	observation	NOUN
ijassa-498	131	22	noise	noise	NOUN
ijassa-498	131	23	in	in	ADP
ijassa-498	131	24	(	(	PUNCT
ijassa-498	131	25	3.6	3.6	NUM
ijassa-498	131	26	)	)	PUNCT
ijassa-498	131	27	is	be	AUX
ijassa-498	131	28	independent	independent	ADJ
ijassa-498	131	29	and	and	CCONJ
ijassa-498	131	30	it	it	PRON
ijassa-498	131	31	has	have	VERB
ijassa-498	131	32	a	a	DET
ijassa-498	131	33	property	property	NOUN
ijassa-498	131	34	of	of	ADP
ijassa-498	131	35	symmetry	symmetry	NOUN
ijassa-498	131	36	then	then	ADV
ijassa-498	131	37	for	for	ADP
ijassa-498	131	38	nominal	nominal	ADJ
ijassa-498	131	39	value	value	NOUN
ijassa-498	131	40	τ	τ	PROPN
ijassa-498	131	41	?	?	PUNCT
ijassa-498	132	1	of	of	ADP
ijassa-498	132	2	the	the	DET
ijassa-498	132	3	incubation	incubation	NOUN
ijassa-498	132	4	time	time	NOUN
ijassa-498	132	5	we	we	PRON
ijassa-498	132	6	have	have	VERB
ijassa-498	132	7	prob{τ	prob{τ	NOUN
ijassa-498	132	8	?	?	PUNCT
ijassa-498	133	1	∈	∈	PROPN
ijassa-498	133	2	t	t	PROPN
ijassa-498	133	3	}	}	PUNCT
ijassa-498	133	4	=	=	PUNCT
ijassa-498	134	1	1−	1−	NUM
ijassa-498	134	2	q	q	NOUN
ijassa-498	134	3	/	/	SYM
ijassa-498	134	4	m	m	PROPN
ijassa-498	134	5	,	,	PUNCT
ijassa-498	134	6	where	where	SCONJ
ijassa-498	134	7	m	m	VERB
ijassa-498	134	8	,	,	PUNCT
ijassa-498	134	9	q	q	ADJ
ijassa-498	134	10	,	,	PUNCT
ijassa-498	134	11	t	t	NOUN
ijassa-498	134	12	from	from	ADP
ijassa-498	134	13	steps	step	NOUN
ijassa-498	134	14	1	1	NUM
ijassa-498	134	15	3	3	NUM
ijassa-498	134	16	of	of	ADP
ijassa-498	134	17	the	the	DET
ijassa-498	134	18	algorithm	algorithm	NOUN
ijassa-498	134	19	described	describe	VERB
ijassa-498	134	20	above	above	ADV
ijassa-498	134	21	.	.	PUNCT
ijassa-498	135	1	the	the	DET
ijassa-498	135	2	proof	proof	NOUN
ijassa-498	135	3	of	of	ADP
ijassa-498	135	4	theorem	theorem	ADJ
ijassa-498	135	5	1	1	NUM
ijassa-498	135	6	is	be	AUX
ijassa-498	135	7	similar	similar	ADJ
ijassa-498	135	8	to	to	ADP
ijassa-498	135	9	the	the	DET
ijassa-498	135	10	correspondent	correspondent	NOUN
ijassa-498	135	11	one	one	NUM
ijassa-498	135	12	in	in	ADP
ijassa-498	135	13	[	[	X
ijassa-498	135	14	17	17	NUM
ijassa-498	135	15	]	]	PUNCT
ijassa-498	135	16	and	and	CCONJ
ijassa-498	135	17	it	it	PRON
ijassa-498	135	18	is	be	AUX
ijassa-498	135	19	provided	provide	VERB
ijassa-498	135	20	at	at	ADP
ijassa-498	135	21	the	the	DET
ijassa-498	135	22	expanded	expand	VERB
ijassa-498	135	23	version	version	NOUN
ijassa-498	135	24	of	of	ADP
ijassa-498	135	25	this	this	DET
ijassa-498	135	26	paper	paper	NOUN
ijassa-498	136	1	[	[	X
ijassa-498	136	2	19	19	NUM
ijassa-498	136	3	]	]	PUNCT
ijassa-498	136	4	.	.	PUNCT
ijassa-498	137	1	the	the	DET
ijassa-498	137	2	main	main	ADJ
ijassa-498	137	3	difference	difference	NOUN
ijassa-498	137	4	is	be	AUX
ijassa-498	137	5	the	the	DET
ijassa-498	137	6	nonlinearity	nonlinearity	NOUN
ijassa-498	137	7	of	of	ADP
ijassa-498	137	8	function	function	NOUN
ijassa-498	137	9	ϕ	ϕ	PROPN
ijassa-498	137	10	(	(	PUNCT
ijassa-498	137	11	·	·	PUNCT
ijassa-498	137	12	,	,	PUNCT
ijassa-498	137	13	·	·	PUNCT
ijassa-498	137	14	)	)	PUNCT
ijassa-498	137	15	from	from	ADP
ijassa-498	137	16	(	(	PUNCT
ijassa-498	137	17	2.5	2.5	NUM
ijassa-498	137	18	)	)	PUNCT
ijassa-498	137	19	,	,	PUNCT
ijassa-498	137	20	but	but	CCONJ
ijassa-498	137	21	it	it	PRON
ijassa-498	137	22	is	be	AUX
ijassa-498	137	23	a	a	DET
ijassa-498	137	24	convex	convex	ADJ
ijassa-498	137	25	function	function	NOUN
ijassa-498	137	26	with	with	ADP
ijassa-498	137	27	monotonic	monotonic	ADJ
ijassa-498	137	28	property	property	NOUN
ijassa-498	137	29	.	.	PUNCT
ijassa-498	138	1	5	5	X
ijassa-498	138	2	.	.	X
ijassa-498	138	3	experiments	experiment	NOUN
ijassa-498	138	4	results	result	NOUN
ijassa-498	138	5	of	of	ADP
ijassa-498	138	6	sps	sps	NOUN
ijassa-498	138	7	procedure	procedure	NOUN
ijassa-498	138	8	applied	apply	VERB
ijassa-498	138	9	to	to	ADP
ijassa-498	138	10	experimental	experimental	ADJ
ijassa-498	138	11	data	datum	NOUN
ijassa-498	138	12	of	of	ADP
ijassa-498	138	13	dynamic	dynamic	ADJ
ijassa-498	138	14	fracture	fracture	NOUN
ijassa-498	138	15	tests	test	NOUN
ijassa-498	138	16	for	for	ADP
ijassa-498	138	17	different	different	ADJ
ijassa-498	138	18	types	type	NOUN
ijassa-498	138	19	of	of	ADP
ijassa-498	138	20	rocks	rock	NOUN
ijassa-498	138	21	are	be	AUX
ijassa-498	138	22	shown	show	VERB
ijassa-498	138	23	in	in	ADP
ijassa-498	138	24	fig	fig	NOUN
ijassa-498	138	25	.	.	PUNCT
ijassa-498	139	1	2	2	NUM
ijassa-498	139	2	-	-	SYM
ijassa-498	139	3	4	4	NUM
ijassa-498	139	4	.	.	PUNCT
ijassa-498	140	1	there	there	PRON
ijassa-498	140	2	are	be	VERB
ijassa-498	140	3	different	different	ADJ
ijassa-498	140	4	amount	amount	NOUN
ijassa-498	140	5	of	of	ADP
ijassa-498	140	6	data	datum	NOUN
ijassa-498	140	7	points	point	NOUN
ijassa-498	140	8	for	for	ADP
ijassa-498	140	9	each	each	DET
ijassa-498	140	10	material	material	NOUN
ijassa-498	140	11	,	,	PUNCT
ijassa-498	140	12	but	but	CCONJ
ijassa-498	140	13	it	it	PRON
ijassa-498	140	14	does	do	AUX
ijassa-498	140	15	not	not	PART
ijassa-498	140	16	influence	influence	VERB
ijassa-498	140	17	the	the	DET
ijassa-498	140	18	applicability	applicability	NOUN
ijassa-498	140	19	of	of	ADP
ijassa-498	140	20	sps	sps	PROPN
ijassa-498	140	21	algorithm	algorithm	PROPN
ijassa-498	140	22	.	.	PUNCT
ijassa-498	141	1	it	it	PRON
ijassa-498	141	2	provides	provide	VERB
ijassa-498	141	3	values	value	NOUN
ijassa-498	141	4	of	of	ADP
ijassa-498	141	5	the	the	DET
ijassa-498	141	6	incubation	incubation	NOUN
ijassa-498	141	7	time	time	NOUN
ijassa-498	141	8	with	with	ADP
ijassa-498	141	9	the	the	DET
ijassa-498	141	10	proper	proper	ADJ
ijassa-498	141	11	degree	degree	NOUN
ijassa-498	141	12	of	of	ADP
ijassa-498	141	13	accuracy	accuracy	NOUN
ijassa-498	141	14	approximately	approximately	ADV
ijassa-498	141	15	20−	20−	NUM
ijassa-498	141	16	40	40	NUM
ijassa-498	141	17	%	%	NOUN
ijassa-498	141	18	.	.	PUNCT
ijassa-498	142	1	copyright	copyright	NOUN
ijassa-498	143	1	c	c	ADP
ijassa-498	143	2	©	©	PROPN
ijassa-498	143	3	2017	2017	NUM
ijassa-498	143	4	assa	assa	NOUN
ijassa-498	143	5	.	.	PUNCT
ijassa-498	144	1	adv	adv	PROPN
ijassa-498	144	2	syst	syst	PROPN
ijassa-498	144	3	sci	sci	PROPN
ijassa-498	144	4	appl	appl	PROPN
ijassa-498	144	5	(	(	PUNCT
ijassa-498	144	6	2017	2017	NUM
ijassa-498	144	7	)	)	PUNCT
ijassa-498	144	8	dynamic	dynamic	ADJ
ijassa-498	144	9	fracture	fracture	NOUN
ijassa-498	144	10	tests	test	VERB
ijassa-498	144	11	data	datum	NOUN
ijassa-498	144	12	analysis	analysis	NOUN
ijassa-498	144	13	based	base	VERB
ijassa-498	144	14	on	on	ADP
ijassa-498	144	15	the	the	DET
ijassa-498	144	16	randomized	randomized	ADJ
ijassa-498	144	17	approach	approach	NOUN
ijassa-498	144	18	39	39	NUM
ijassa-498	144	19	fig	fig	NOUN
ijassa-498	144	20	.	.	PUNCT
ijassa-498	145	1	2	2	X
ijassa-498	145	2	.	.	X
ijassa-498	145	3	dynamic	dynamic	ADJ
ijassa-498	145	4	fracture	fracture	NOUN
ijassa-498	145	5	of	of	ADP
ijassa-498	145	6	gabbro	gabbro	NOUN
ijassa-498	145	7	-	-	PUNCT
ijassa-498	145	8	diabase	diabase	NOUN
ijassa-498	146	1	[	[	X
ijassa-498	146	2	18	18	NUM
ijassa-498	146	3	]	]	PUNCT
ijassa-498	146	4	.	.	PUNCT
ijassa-498	147	1	red	red	ADJ
ijassa-498	147	2	line	line	NOUN
ijassa-498	147	3	is	be	AUX
ijassa-498	147	4	plotted	plot	VERB
ijassa-498	147	5	by	by	ADP
ijassa-498	147	6	lms	lm	NOUN
ijassa-498	147	7	method	method	NOUN
ijassa-498	147	8	;	;	PUNCT
ijassa-498	147	9	dotted	dotted	ADJ
ijassa-498	147	10	lines	line	NOUN
ijassa-498	147	11	are	be	AUX
ijassa-498	147	12	plotted	plot	VERB
ijassa-498	147	13	by	by	ADP
ijassa-498	147	14	sps	sps	NOUN
ijassa-498	147	15	procedure	procedure	NOUN
ijassa-498	147	16	for	for	ADP
ijassa-498	147	17	τ0.9	τ0.9	DET
ijassa-498	147	18	∈	∈	PROPN
ijassa-498	148	1	[	[	X
ijassa-498	148	2	0.39	0.39	NUM
ijassa-498	148	3	;	;	PUNCT
ijassa-498	148	4	0.89	0.89	NUM
ijassa-498	148	5	]	]	PUNCT
ijassa-498	148	6	µs	µs	X
ijassa-498	148	7	;	;	PUNCT
ijassa-498	148	8	dashed	dash	VERB
ijassa-498	148	9	lines	line	NOUN
ijassa-498	148	10	τ0.75	τ0.75	PROPN
ijassa-498	148	11	∈	∈	PROPN
ijassa-498	149	1	[	[	X
ijassa-498	149	2	0.48	0.48	NUM
ijassa-498	149	3	;	;	PUNCT
ijassa-498	149	4	0.78	0.78	NUM
ijassa-498	149	5	]	]	PUNCT
ijassa-498	149	6	µs	µs	NOUN
ijassa-498	149	7	in	in	ADP
ijassa-498	149	8	the	the	DET
ijassa-498	149	9	case	case	NOUN
ijassa-498	149	10	of	of	ADP
ijassa-498	149	11	gabbro	gabbro	NOUN
ijassa-498	149	12	-	-	PUNCT
ijassa-498	149	13	diabase	diabase	NOUN
ijassa-498	149	14	(	(	PUNCT
ijassa-498	149	15	see	see	VERB
ijassa-498	149	16	fig	fig	NOUN
ijassa-498	149	17	.	.	PUNCT
ijassa-498	149	18	2	2	X
ijassa-498	149	19	)	)	PUNCT
ijassa-498	149	20	two	two	NUM
ijassa-498	149	21	values	value	NOUN
ijassa-498	149	22	of	of	ADP
ijassa-498	149	23	confidence	confidence	NOUN
ijassa-498	149	24	probabilities	probability	NOUN
ijassa-498	149	25	90	90	NUM
ijassa-498	149	26	%	%	NOUN
ijassa-498	149	27	and	and	CCONJ
ijassa-498	149	28	75	75	NUM
ijassa-498	149	29	%	%	NOUN
ijassa-498	149	30	were	be	AUX
ijassa-498	149	31	achieved	achieve	VERB
ijassa-498	149	32	by	by	ADP
ijassa-498	149	33	the	the	DET
ijassa-498	149	34	following	follow	VERB
ijassa-498	149	35	values	value	NOUN
ijassa-498	149	36	of	of	ADP
ijassa-498	149	37	sps	sps	NOUN
ijassa-498	149	38	procedure	procedure	NOUN
ijassa-498	149	39	parameters	parameter	NOUN
ijassa-498	149	40	m	m	VERB
ijassa-498	149	41	=	=	NOUN
ijassa-498	149	42	200	200	NUM
ijassa-498	149	43	,	,	PUNCT
ijassa-498	149	44	q	q	NOUN
ijassa-498	150	1	=	=	SYM
ijassa-498	150	2	20	20	NUM
ijassa-498	150	3	and	and	CCONJ
ijassa-498	150	4	correspondingly	correspondingly	ADV
ijassa-498	150	5	m	m	VERB
ijassa-498	151	1	=	=	ADJ
ijassa-498	151	2	200	200	NUM
ijassa-498	151	3	,	,	PUNCT
ijassa-498	151	4	q	q	NOUN
ijassa-498	151	5	=	=	NOUN
ijassa-498	151	6	50	50	NUM
ijassa-498	151	7	.	.	PUNCT
ijassa-498	152	1	this	this	PRON
ijassa-498	152	2	gives	give	VERB
ijassa-498	152	3	us	we	PRON
ijassa-498	152	4	two	two	NUM
ijassa-498	152	5	intervals	interval	NOUN
ijassa-498	152	6	of	of	ADP
ijassa-498	152	7	the	the	DET
ijassa-498	152	8	incubation	incubation	NOUN
ijassa-498	152	9	fracture	fracture	NOUN
ijassa-498	152	10	time	time	NOUN
ijassa-498	152	11	τ0.9	τ0.9	PRON
ijassa-498	152	12	∈	∈	PROPN
ijassa-498	153	1	[	[	X
ijassa-498	153	2	0.39	0.39	NUM
ijassa-498	153	3	;	;	PUNCT
ijassa-498	153	4	0.89	0.89	NUM
ijassa-498	153	5	]	]	PUNCT
ijassa-498	153	6	µs	µs	NOUN
ijassa-498	154	1	and	and	CCONJ
ijassa-498	154	2	τ0.75	τ0.75	PROPN
ijassa-498	154	3	∈	∈	PROPN
ijassa-498	155	1	[	[	X
ijassa-498	155	2	0.48	0.48	NUM
ijassa-498	155	3	;	;	PUNCT
ijassa-498	155	4	0.78	0.78	NUM
ijassa-498	155	5	]	]	PUNCT
ijassa-498	155	6	µs	µs	X
ijassa-498	155	7	,	,	PUNCT
ijassa-498	155	8	while	while	SCONJ
ijassa-498	155	9	lms	lm	NOUN
ijassa-498	155	10	method	method	NOUN
ijassa-498	155	11	provides	provide	VERB
ijassa-498	155	12	τ	τ	X
ijassa-498	155	13	=	=	SYM
ijassa-498	155	14	0.61	0.61	NUM
ijassa-498	155	15	µs	µs	NOUN
ijassa-498	155	16	.	.	PUNCT
ijassa-498	156	1	thus	thus	ADV
ijassa-498	156	2	,	,	PUNCT
ijassa-498	156	3	sps	sps	NOUN
ijassa-498	156	4	procedure	procedure	NOUN
ijassa-498	156	5	allows	allow	VERB
ijassa-498	156	6	us	we	PRON
ijassa-498	156	7	to	to	PART
ijassa-498	156	8	calculate	calculate	VERB
ijassa-498	156	9	the	the	DET
ijassa-498	156	10	incubation	incubation	NOUN
ijassa-498	156	11	time	time	NOUN
ijassa-498	156	12	value	value	NOUN
ijassa-498	156	13	with	with	ADP
ijassa-498	156	14	relatively	relatively	ADV
ijassa-498	156	15	small	small	ADJ
ijassa-498	156	16	inaccuracy	inaccuracy	ADJ
ijassa-498	156	17	25	25	NUM
ijassa-498	156	18	%	%	NOUN
ijassa-498	156	19	and	and	CCONJ
ijassa-498	156	20	with	with	ADP
ijassa-498	156	21	sufficiently	sufficiently	ADV
ijassa-498	156	22	high	high	ADJ
ijassa-498	156	23	degree	degree	NOUN
ijassa-498	156	24	of	of	ADP
ijassa-498	156	25	confidence	confidence	NOUN
ijassa-498	156	26	75	75	NUM
ijassa-498	156	27	%	%	NOUN
ijassa-498	156	28	.	.	PUNCT
ijassa-498	157	1	fig	fig	NOUN
ijassa-498	157	2	.	.	PUNCT
ijassa-498	158	1	3	3	X
ijassa-498	158	2	.	.	X
ijassa-498	158	3	dynamic	dynamic	ADJ
ijassa-498	158	4	fracture	fracture	NOUN
ijassa-498	158	5	of	of	ADP
ijassa-498	158	6	coelga	coelga	NOUN
ijassa-498	158	7	marble	marble	NOUN
ijassa-498	159	1	[	[	X
ijassa-498	159	2	18	18	NUM
ijassa-498	159	3	]	]	PUNCT
ijassa-498	159	4	.	.	PUNCT
ijassa-498	160	1	red	red	ADJ
ijassa-498	160	2	line	line	NOUN
ijassa-498	160	3	is	be	AUX
ijassa-498	160	4	plotted	plot	VERB
ijassa-498	160	5	by	by	ADP
ijassa-498	160	6	lms	lm	NOUN
ijassa-498	160	7	method	method	NOUN
ijassa-498	160	8	;	;	PUNCT
ijassa-498	160	9	dotted	dotted	ADJ
ijassa-498	160	10	lines	line	NOUN
ijassa-498	160	11	are	be	AUX
ijassa-498	160	12	plotted	plot	VERB
ijassa-498	160	13	by	by	ADP
ijassa-498	160	14	sps	sps	NOUN
ijassa-498	160	15	procedure	procedure	NOUN
ijassa-498	160	16	for	for	ADP
ijassa-498	160	17	τ0.9	τ0.9	DET
ijassa-498	160	18	∈	∈	PROPN
ijassa-498	161	1	[	[	X
ijassa-498	161	2	0.39	0.39	NUM
ijassa-498	161	3	;	;	PUNCT
ijassa-498	161	4	0.89	0.89	NUM
ijassa-498	161	5	]	]	PUNCT
ijassa-498	161	6	µs	µs	X
ijassa-498	161	7	;	;	PUNCT
ijassa-498	161	8	dashed	dash	VERB
ijassa-498	161	9	lines	line	NOUN
ijassa-498	161	10	τ0.75	τ0.75	PROPN
ijassa-498	161	11	∈	∈	PROPN
ijassa-498	162	1	[	[	X
ijassa-498	162	2	0.48	0.48	NUM
ijassa-498	162	3	;	;	PUNCT
ijassa-498	162	4	0.78	0.78	NUM
ijassa-498	162	5	]	]	PUNCT
ijassa-498	162	6	µs	µs	NOUN
ijassa-498	162	7	in	in	ADP
ijassa-498	162	8	the	the	DET
ijassa-498	162	9	case	case	NOUN
ijassa-498	162	10	of	of	ADP
ijassa-498	162	11	coelga	coelga	NOUN
ijassa-498	162	12	marble	marble	NOUN
ijassa-498	162	13	(	(	PUNCT
ijassa-498	162	14	see	see	VERB
ijassa-498	162	15	fig	fig	NOUN
ijassa-498	162	16	.	.	PUNCT
ijassa-498	163	1	3	3	X
ijassa-498	163	2	)	)	PUNCT
ijassa-498	163	3	we	we	PRON
ijassa-498	163	4	have	have	VERB
ijassa-498	163	5	similar	similar	ADJ
ijassa-498	163	6	situation	situation	NOUN
ijassa-498	163	7	for	for	ADP
ijassa-498	163	8	following	follow	VERB
ijassa-498	163	9	values	value	NOUN
ijassa-498	163	10	of	of	ADP
ijassa-498	163	11	the	the	DET
ijassa-498	163	12	sps	sps	NOUN
ijassa-498	163	13	procedure	procedure	NOUN
ijassa-498	163	14	parameters	parameter	NOUN
ijassa-498	163	15	:	:	PUNCT
ijassa-498	163	16	m	m	VERB
ijassa-498	163	17	=	=	NOUN
ijassa-498	163	18	100	100	NUM
ijassa-498	163	19	,	,	PUNCT
ijassa-498	163	20	q	q	NOUN
ijassa-498	164	1	=	=	NOUN
ijassa-498	164	2	10	10	NUM
ijassa-498	164	3	for	for	ADP
ijassa-498	164	4	90	90	NUM
ijassa-498	164	5	%	%	NOUN
ijassa-498	164	6	and	and	CCONJ
ijassa-498	164	7	m	m	NOUN
ijassa-498	164	8	=	=	ADJ
ijassa-498	164	9	100	100	NUM
ijassa-498	164	10	,	,	PUNCT
ijassa-498	164	11	q	q	NOUN
ijassa-498	165	1	=	=	NUM
ijassa-498	165	2	25	25	NUM
ijassa-498	165	3	for	for	ADP
ijassa-498	165	4	75	75	NUM
ijassa-498	165	5	%	%	NOUN
ijassa-498	165	6	.	.	PUNCT
ijassa-498	166	1	the	the	DET
ijassa-498	166	2	inaccuracy	inaccuracy	NOUN
ijassa-498	166	3	does	do	AUX
ijassa-498	166	4	not	not	PART
ijassa-498	166	5	exceed	exceed	VERB
ijassa-498	166	6	acceptable	acceptable	ADJ
ijassa-498	166	7	for	for	ADP
ijassa-498	166	8	engineering	engineer	VERB
ijassa-498	166	9	30	30	NUM
ijassa-498	166	10	%	%	NOUN
ijassa-498	166	11	for	for	ADP
ijassa-498	166	12	both	both	CCONJ
ijassa-498	166	13	confident	confident	ADJ
ijassa-498	166	14	intervals	interval	NOUN
ijassa-498	166	15	of	of	ADP
ijassa-498	166	16	the	the	DET
ijassa-498	166	17	incubation	incubation	NOUN
ijassa-498	166	18	time	time	NOUN
ijassa-498	166	19	τ0.9	τ0.9	PRON
ijassa-498	166	20	∈	∈	PROPN
ijassa-498	167	1	[	[	X
ijassa-498	167	2	0.72	0.72	NUM
ijassa-498	167	3	;	;	PUNCT
ijassa-498	167	4	1.26	1.26	NUM
ijassa-498	167	5	]	]	PUNCT
ijassa-498	167	6	µs	µs	NOUN
ijassa-498	167	7	and	and	CCONJ
ijassa-498	167	8	τ0.75	τ0.75	PROPN
ijassa-498	167	9	∈	∈	PROPN
ijassa-498	168	1	[	[	X
ijassa-498	168	2	0.78	0.78	NUM
ijassa-498	168	3	;	;	PUNCT
ijassa-498	168	4	1.1	1.1	NUM
ijassa-498	168	5	]	]	PUNCT
ijassa-498	168	6	µs	µs	X
ijassa-498	168	7	,	,	PUNCT
ijassa-498	168	8	since	since	SCONJ
ijassa-498	168	9	lms	lm	NOUN
ijassa-498	168	10	method	method	NOUN
ijassa-498	168	11	gives	give	VERB
ijassa-498	168	12	us	we	PRON
ijassa-498	168	13	τ	τ	X
ijassa-498	168	14	=	=	NOUN
ijassa-498	168	15	0.91	0.91	NUM
ijassa-498	168	16	µs	µs	NOUN
ijassa-498	168	17	.	.	PUNCT
ijassa-498	169	1	sps	sps	PROPN
ijassa-498	169	2	algorithm	algorithm	PROPN
ijassa-498	169	3	also	also	ADV
ijassa-498	169	4	provides	provide	VERB
ijassa-498	169	5	good	good	ADJ
ijassa-498	169	6	results	result	NOUN
ijassa-498	169	7	for	for	ADP
ijassa-498	169	8	pervouralsky	pervouralsky	ADJ
ijassa-498	169	9	marble	marble	NOUN
ijassa-498	169	10	(	(	PUNCT
ijassa-498	169	11	see	see	VERB
ijassa-498	169	12	fig	fig	NOUN
ijassa-498	169	13	.	.	PUNCT
ijassa-498	170	1	4	4	NUM
ijassa-498	170	2	)	)	PUNCT
ijassa-498	170	3	despite	despite	SCONJ
ijassa-498	170	4	there	there	PRON
ijassa-498	170	5	are	be	VERB
ijassa-498	170	6	only	only	ADV
ijassa-498	170	7	five	five	NUM
ijassa-498	170	8	data	datum	NOUN
ijassa-498	170	9	points	point	NOUN
ijassa-498	170	10	and	and	CCONJ
ijassa-498	170	11	lms	lm	NOUN
ijassa-498	170	12	method	method	NOUN
ijassa-498	170	13	provides	provide	VERB
ijassa-498	170	14	τ	τ	X
ijassa-498	170	15	=	=	SYM
ijassa-498	170	16	1.81µs	1.81µs	NUM
ijassa-498	170	17	.	.	PUNCT
ijassa-498	171	1	copyright	copyright	NOUN
ijassa-498	171	2	c	c	ADP
ijassa-498	171	3	©	©	PROPN
ijassa-498	171	4	2017	2017	NUM
ijassa-498	171	5	assa	assa	NOUN
ijassa-498	171	6	.	.	PUNCT
ijassa-498	172	1	adv	adv	PROPN
ijassa-498	172	2	syst	syst	PROPN
ijassa-498	172	3	sci	sci	PROPN
ijassa-498	172	4	appl	appl	PROPN
ijassa-498	172	5	(	(	PUNCT
ijassa-498	172	6	2017	2017	NUM
ijassa-498	172	7	)	)	PUNCT
ijassa-498	172	8	40	40	NUM
ijassa-498	172	9	marina	marina	NOUN
ijassa-498	172	10	v.	v.	PROPN
ijassa-498	172	11	volkova	volkova	PROPN
ijassa-498	172	12	,	,	PUNCT
ijassa-498	172	13	oleg	oleg	PROPN
ijassa-498	172	14	n.	n.	PROPN
ijassa-498	172	15	granichin	granichin	PROPN
ijassa-498	172	16	,	,	PUNCT
ijassa-498	172	17	yuri.v	yuri.v	NOUN
ijassa-498	172	18	.	.	PUNCT
ijassa-498	173	1	petrov	petrov	PROPN
ijassa-498	173	2	,	,	PUNCT
ijassa-498	173	3	grigory.a	grigory.a	PROPN
ijassa-498	173	4	.	.	PUNCT
ijassa-498	174	1	volkov	volkov	PROPN
ijassa-498	174	2	fig	fig	PROPN
ijassa-498	174	3	.	.	PUNCT
ijassa-498	175	1	4	4	X
ijassa-498	175	2	.	.	X
ijassa-498	175	3	dynamic	dynamic	ADJ
ijassa-498	175	4	fracture	fracture	NOUN
ijassa-498	175	5	of	of	ADP
ijassa-498	175	6	pervouralsky	pervouralsky	ADJ
ijassa-498	175	7	marble	marble	NOUN
ijassa-498	176	1	[	[	X
ijassa-498	176	2	18	18	NUM
ijassa-498	176	3	]	]	PUNCT
ijassa-498	176	4	.	.	PUNCT
ijassa-498	177	1	red	red	ADJ
ijassa-498	177	2	line	line	NOUN
ijassa-498	177	3	is	be	AUX
ijassa-498	177	4	plotted	plot	VERB
ijassa-498	177	5	by	by	ADP
ijassa-498	177	6	lms	lm	NOUN
ijassa-498	177	7	method	method	NOUN
ijassa-498	177	8	;	;	PUNCT
ijassa-498	177	9	dotted	dotted	ADJ
ijassa-498	177	10	lines	line	NOUN
ijassa-498	177	11	are	be	AUX
ijassa-498	177	12	plotted	plot	VERB
ijassa-498	177	13	by	by	ADP
ijassa-498	177	14	sps	sps	NOUN
ijassa-498	177	15	procedure	procedure	NOUN
ijassa-498	177	16	for	for	ADP
ijassa-498	177	17	τ0.9	τ0.9	DET
ijassa-498	177	18	∈	∈	PROPN
ijassa-498	178	1	[	[	X
ijassa-498	178	2	0.39	0.39	NUM
ijassa-498	178	3	;	;	PUNCT
ijassa-498	178	4	0.89	0.89	NUM
ijassa-498	178	5	]	]	PUNCT
ijassa-498	178	6	µs	µs	X
ijassa-498	178	7	;	;	PUNCT
ijassa-498	178	8	dashed	dash	VERB
ijassa-498	178	9	lines	line	NOUN
ijassa-498	178	10	τ0.75	τ0.75	PROPN
ijassa-498	178	11	∈	∈	PROPN
ijassa-498	179	1	[	[	X
ijassa-498	179	2	0.48	0.48	NUM
ijassa-498	179	3	;	;	PUNCT
ijassa-498	179	4	0.78	0.78	NUM
ijassa-498	179	5	]	]	PUNCT
ijassa-498	179	6	µs	µs	ADP
ijassa-498	179	7	this	this	DET
ijassa-498	179	8	number	number	NOUN
ijassa-498	179	9	of	of	ADP
ijassa-498	179	10	points	point	NOUN
ijassa-498	179	11	leads	lead	VERB
ijassa-498	179	12	to	to	ADP
ijassa-498	179	13	relatively	relatively	ADV
ijassa-498	179	14	small	small	ADJ
ijassa-498	179	15	number	number	NOUN
ijassa-498	179	16	of	of	ADP
ijassa-498	179	17	iterations	iteration	NOUN
ijassa-498	179	18	m	m	VERB
ijassa-498	179	19	=	=	SYM
ijassa-498	179	20	20	20	NUM
ijassa-498	179	21	,	,	PUNCT
ijassa-498	179	22	so	so	ADV
ijassa-498	179	23	proper	proper	ADJ
ijassa-498	179	24	confidences	confidence	NOUN
ijassa-498	179	25	are	be	AUX
ijassa-498	179	26	achieved	achieve	VERB
ijassa-498	179	27	by	by	ADP
ijassa-498	179	28	follows	follow	VERB
ijassa-498	179	29	q	q	PROPN
ijassa-498	179	30	=	=	SYM
ijassa-498	179	31	2	2	NUM
ijassa-498	179	32	and	and	CCONJ
ijassa-498	179	33	q	q	NOUN
ijassa-498	179	34	=	=	NOUN
ijassa-498	179	35	5	5	X
ijassa-498	179	36	.	.	PUNCT
ijassa-498	180	1	these	these	DET
ijassa-498	180	2	parameters	parameter	NOUN
ijassa-498	180	3	give	give	VERB
ijassa-498	180	4	us	we	PRON
ijassa-498	180	5	incubation	incubation	NOUN
ijassa-498	180	6	time	time	NOUN
ijassa-498	180	7	intervals	interval	NOUN
ijassa-498	180	8	τ0.9	τ0.9	PRON
ijassa-498	180	9	∈	∈	PROPN
ijassa-498	181	1	[	[	X
ijassa-498	181	2	1.35	1.35	NUM
ijassa-498	181	3	;	;	PUNCT
ijassa-498	181	4	2.05	2.05	NUM
ijassa-498	181	5	]	]	PUNCT
ijassa-498	181	6	µs	µs	NOUN
ijassa-498	182	1	and	and	CCONJ
ijassa-498	182	2	τ0.75	τ0.75	PROPN
ijassa-498	182	3	∈	∈	PROPN
ijassa-498	183	1	[	[	X
ijassa-498	183	2	1.66	1.66	NUM
ijassa-498	183	3	;	;	PUNCT
ijassa-498	183	4	1.91	1.91	NUM
ijassa-498	183	5	]	]	PUNCT
ijassa-498	183	6	µs	µs	NOUN
ijassa-498	183	7	with	with	ADP
ijassa-498	183	8	inaccuracy	inaccuracy	NOUN
ijassa-498	183	9	less	less	ADJ
ijassa-498	183	10	than	than	ADP
ijassa-498	183	11	20	20	NUM
ijassa-498	183	12	%	%	NOUN
ijassa-498	183	13	.	.	PUNCT
ijassa-498	184	1	it	it	PRON
ijassa-498	184	2	should	should	AUX
ijassa-498	184	3	be	be	AUX
ijassa-498	184	4	noted	note	VERB
ijassa-498	184	5	,	,	PUNCT
ijassa-498	184	6	that	that	SCONJ
ijassa-498	184	7	90%-confident	90%-confident	NUM
ijassa-498	184	8	and	and	CCONJ
ijassa-498	184	9	min	min	PROPN
ijassa-498	184	10	&	&	CCONJ
ijassa-498	184	11	max	max	PROPN
ijassa-498	184	12	intervals	interval	NOUN
ijassa-498	184	13	for	for	ADP
ijassa-498	184	14	pervouralsky	pervouralsky	ADJ
ijassa-498	184	15	marble	marble	NOUN
ijassa-498	184	16	are	be	AUX
ijassa-498	184	17	approximately	approximately	ADV
ijassa-498	184	18	the	the	DET
ijassa-498	184	19	same	same	ADJ
ijassa-498	184	20	.	.	PUNCT
ijassa-498	185	1	the	the	DET
ijassa-498	185	2	advantage	advantage	NOUN
ijassa-498	185	3	of	of	ADP
ijassa-498	185	4	the	the	DET
ijassa-498	185	5	sps	sps	NOUN
ijassa-498	185	6	procedure	procedure	NOUN
ijassa-498	185	7	in	in	ADP
ijassa-498	185	8	comparison	comparison	NOUN
ijassa-498	185	9	with	with	ADP
ijassa-498	185	10	robust	robust	ADJ
ijassa-498	185	11	estimation	estimation	NOUN
ijassa-498	185	12	is	be	AUX
ijassa-498	185	13	that	that	SCONJ
ijassa-498	185	14	it	it	PRON
ijassa-498	185	15	gives	give	VERB
ijassa-498	185	16	additional	additional	ADJ
ijassa-498	185	17	information	information	NOUN
ijassa-498	185	18	about	about	ADP
ijassa-498	185	19	inaccuracy	inaccuracy	NOUN
ijassa-498	185	20	of	of	ADP
ijassa-498	185	21	the	the	DET
ijassa-498	185	22	determined	determined	ADJ
ijassa-498	185	23	interval	interval	NOUN
ijassa-498	185	24	.	.	PUNCT
ijassa-498	186	1	6	6	X
ijassa-498	186	2	.	.	X
ijassa-498	186	3	conclusion	conclusion	NOUN
ijassa-498	186	4	the	the	DET
ijassa-498	186	5	incubation	incubation	NOUN
ijassa-498	186	6	time	time	NOUN
ijassa-498	186	7	approach	approach	NOUN
ijassa-498	186	8	proved	prove	VERB
ijassa-498	186	9	itself	itself	PRON
ijassa-498	186	10	as	as	ADP
ijassa-498	186	11	a	a	DET
ijassa-498	186	12	good	good	ADJ
ijassa-498	186	13	instrument	instrument	NOUN
ijassa-498	186	14	to	to	PART
ijassa-498	186	15	estimate	estimate	VERB
ijassa-498	186	16	and	and	CCONJ
ijassa-498	186	17	predict	predict	VERB
ijassa-498	186	18	the	the	DET
ijassa-498	186	19	limit	limit	NOUN
ijassa-498	186	20	parameters	parameter	NOUN
ijassa-498	186	21	of	of	ADP
ijassa-498	186	22	loading	loading	NOUN
ijassa-498	186	23	impacts	impact	NOUN
ijassa-498	186	24	.	.	PUNCT
ijassa-498	187	1	the	the	DET
ijassa-498	187	2	main	main	ADJ
ijassa-498	187	3	problem	problem	NOUN
ijassa-498	187	4	is	be	AUX
ijassa-498	187	5	that	that	SCONJ
ijassa-498	187	6	there	there	PRON
ijassa-498	187	7	is	be	VERB
ijassa-498	187	8	no	no	DET
ijassa-498	187	9	standard	standard	ADJ
ijassa-498	187	10	procedure	procedure	NOUN
ijassa-498	187	11	to	to	PART
ijassa-498	187	12	determine	determine	VERB
ijassa-498	187	13	the	the	DET
ijassa-498	187	14	incubation	incubation	NOUN
ijassa-498	187	15	time	time	NOUN
ijassa-498	187	16	value	value	NOUN
ijassa-498	187	17	τ	τ	PROPN
ijassa-498	187	18	with	with	ADP
ijassa-498	187	19	estimation	estimation	NOUN
ijassa-498	187	20	of	of	ADP
ijassa-498	187	21	its	its	PRON
ijassa-498	187	22	inaccuracy	inaccuracy	ADJ
ijassa-498	187	23	ε	ε	PROPN
ijassa-498	187	24	.	.	PUNCT
ijassa-498	188	1	the	the	DET
ijassa-498	188	2	main	main	ADJ
ijassa-498	188	3	difficulty	difficulty	NOUN
ijassa-498	188	4	is	be	AUX
ijassa-498	188	5	that	that	SCONJ
ijassa-498	188	6	the	the	DET
ijassa-498	188	7	incubation	incubation	NOUN
ijassa-498	188	8	time	time	NOUN
ijassa-498	188	9	could	could	AUX
ijassa-498	188	10	be	be	AUX
ijassa-498	188	11	measured	measure	VERB
ijassa-498	188	12	only	only	ADV
ijassa-498	188	13	implicitly	implicitly	ADV
ijassa-498	188	14	and	and	CCONJ
ijassa-498	188	15	standard	standard	ADJ
ijassa-498	188	16	methods	method	NOUN
ijassa-498	188	17	of	of	ADP
ijassa-498	188	18	data	datum	NOUN
ijassa-498	188	19	analysis	analysis	NOUN
ijassa-498	188	20	do	do	AUX
ijassa-498	188	21	not	not	PART
ijassa-498	188	22	work	work	VERB
ijassa-498	188	23	.	.	PUNCT
ijassa-498	189	1	the	the	DET
ijassa-498	189	2	proposed	propose	VERB
ijassa-498	189	3	application	application	NOUN
ijassa-498	189	4	of	of	ADP
ijassa-498	189	5	sps	sps	NOUN
ijassa-498	189	6	procedure	procedure	NOUN
ijassa-498	189	7	demonstrates	demonstrate	VERB
ijassa-498	189	8	how	how	SCONJ
ijassa-498	189	9	to	to	PART
ijassa-498	189	10	calculate	calculate	VERB
ijassa-498	189	11	the	the	DET
ijassa-498	189	12	incubation	incubation	NOUN
ijassa-498	189	13	time	time	NOUN
ijassa-498	189	14	with	with	ADP
ijassa-498	189	15	certain	certain	ADJ
ijassa-498	189	16	inaccuracy	inaccuracy	ADJ
ijassa-498	189	17	ε	ε	PROPN
ijassa-498	189	18	under	under	ADP
ijassa-498	189	19	limited	limited	ADJ
ijassa-498	189	20	number	number	NOUN
ijassa-498	189	21	of	of	ADP
ijassa-498	189	22	experimental	experimental	ADJ
ijassa-498	189	23	points	point	NOUN
ijassa-498	189	24	.	.	PUNCT
ijassa-498	190	1	the	the	DET
ijassa-498	190	2	advantage	advantage	NOUN
ijassa-498	190	3	of	of	ADP
ijassa-498	190	4	this	this	DET
ijassa-498	190	5	method	method	NOUN
ijassa-498	190	6	is	be	AUX
ijassa-498	190	7	that	that	SCONJ
ijassa-498	190	8	it	it	PRON
ijassa-498	190	9	allows	allow	VERB
ijassa-498	190	10	us	we	PRON
ijassa-498	190	11	to	to	PART
ijassa-498	190	12	predetermine	predetermine	VERB
ijassa-498	190	13	the	the	DET
ijassa-498	190	14	confidence	confidence	NOUN
ijassa-498	190	15	of	of	ADP
ijassa-498	190	16	the	the	DET
ijassa-498	190	17	target	target	NOUN
ijassa-498	190	18	intervals	interval	NOUN
ijassa-498	190	19	for	for	ADP
ijassa-498	190	20	parameter	parameter	NOUN
ijassa-498	190	21	τ	τ	PROPN
ijassa-498	190	22	.	.	PUNCT
ijassa-498	191	1	the	the	DET
ijassa-498	191	2	incubation	incubation	NOUN
ijassa-498	191	3	time	time	NOUN
ijassa-498	191	4	approach	approach	NOUN
ijassa-498	191	5	complemented	complement	VERB
ijassa-498	191	6	by	by	ADP
ijassa-498	191	7	sps	sps	NOUN
ijassa-498	191	8	procedure	procedure	NOUN
ijassa-498	191	9	for	for	ADP
ijassa-498	191	10	data	datum	NOUN
ijassa-498	191	11	analysis	analysis	NOUN
ijassa-498	191	12	can	can	AUX
ijassa-498	191	13	become	become	VERB
ijassa-498	191	14	a	a	DET
ijassa-498	191	15	universal	universal	ADJ
ijassa-498	191	16	instrument	instrument	NOUN
ijassa-498	191	17	of	of	ADP
ijassa-498	191	18	engineering	engineering	NOUN
ijassa-498	191	19	to	to	PART
ijassa-498	191	20	determine	determine	VERB
ijassa-498	191	21	material	material	NOUN
ijassa-498	191	22	strength	strength	NOUN
ijassa-498	191	23	in	in	ADP
ijassa-498	191	24	dynamics	dynamic	NOUN
ijassa-498	191	25	.	.	PUNCT
ijassa-498	192	1	the	the	DET
ijassa-498	192	2	further	further	ADJ
ijassa-498	192	3	researches	research	NOUN
ijassa-498	192	4	are	be	AUX
ijassa-498	192	5	aimed	aim	VERB
ijassa-498	192	6	to	to	PART
ijassa-498	192	7	improve	improve	VERB
ijassa-498	192	8	developed	develop	VERB
ijassa-498	192	9	method	method	NOUN
ijassa-498	192	10	in	in	ADP
ijassa-498	192	11	case	case	NOUN
ijassa-498	192	12	of	of	ADP
ijassa-498	192	13	arbitrary	arbitrary	ADJ
ijassa-498	192	14	noises	noise	NOUN
ijassa-498	192	15	like	like	ADP
ijassa-498	192	16	in	in	ADP
ijassa-498	192	17	[	[	X
ijassa-498	192	18	20	20	NUM
ijassa-498	192	19	,	,	PUNCT
ijassa-498	192	20	21	21	NUM
ijassa-498	192	21	]	]	PUNCT
ijassa-498	192	22	acknowledgements	acknowledgement	NOUN
ijassa-498	192	23	this	this	DET
ijassa-498	192	24	work	work	NOUN
ijassa-498	192	25	was	be	AUX
ijassa-498	192	26	supported	support	VERB
ijassa-498	192	27	by	by	ADP
ijassa-498	192	28	russian	russian	ADJ
ijassa-498	192	29	science	science	PROPN
ijassa-498	192	30	foundation	foundation	PROPN
ijassa-498	192	31	(	(	PUNCT
ijassa-498	192	32	project	project	NOUN
ijassa-498	192	33	16	16	NUM
ijassa-498	192	34	-	-	SYM
ijassa-498	192	35	19	19	NUM
ijassa-498	192	36	-	-	PUNCT
ijassa-498	192	37	00057	00057	NUM
ijassa-498	192	38	)	)	PUNCT
ijassa-498	192	39	.	.	PUNCT
ijassa-498	193	1	references	reference	NOUN
ijassa-498	193	2	1	1	NUM
ijassa-498	193	3	.	.	PUNCT
ijassa-498	193	4	campbell	campbell	PROPN
ijassa-498	193	5	j.d	j.d	PROPN
ijassa-498	193	6	.	.	PROPN
ijassa-498	193	7	&	&	CCONJ
ijassa-498	193	8	ferguson	ferguson	PROPN
ijassa-498	193	9	w.g	w.g	PROPN
ijassa-498	193	10	.	.	PROPN
ijassa-498	193	11	(	(	PUNCT
ijassa-498	193	12	1970	1970	NUM
ijassa-498	193	13	)	)	PUNCT
ijassa-498	193	14	the	the	DET
ijassa-498	193	15	temperature	temperature	NOUN
ijassa-498	193	16	and	and	CCONJ
ijassa-498	193	17	strain	strain	ADJ
ijassa-498	193	18	-	-	PUNCT
ijassa-498	193	19	rate	rate	NOUN
ijassa-498	193	20	dependence	dependence	NOUN
ijassa-498	193	21	of	of	ADP
ijassa-498	193	22	shear	shear	NOUN
ijassa-498	193	23	strength	strength	NOUN
ijassa-498	193	24	of	of	ADP
ijassa-498	193	25	mild	mild	ADJ
ijassa-498	193	26	steel	steel	NOUN
ijassa-498	193	27	.	.	PUNCT
ijassa-498	194	1	the	the	DET
ijassa-498	194	2	philosophical	philosophical	ADJ
ijassa-498	194	3	magazine	magazine	NOUN
ijassa-498	194	4	,	,	PUNCT
ijassa-498	194	5	21	21	NUM
ijassa-498	194	6	(	(	PUNCT
ijassa-498	194	7	1	1	NUM
ijassa-498	194	8	)	)	PUNCT
ijassa-498	194	9	,	,	PUNCT
ijassa-498	194	10	63–82	63–82	NUM
ijassa-498	194	11	.	.	PUNCT
ijassa-498	195	1	copyright	copyright	NOUN
ijassa-498	195	2	c	c	ADP
ijassa-498	195	3	©	©	PROPN
ijassa-498	195	4	2017	2017	NUM
ijassa-498	195	5	assa	assa	NOUN
ijassa-498	195	6	.	.	PUNCT
ijassa-498	196	1	adv	adv	PROPN
ijassa-498	196	2	syst	syst	PROPN
ijassa-498	196	3	sci	sci	PROPN
ijassa-498	196	4	appl	appl	PROPN
ijassa-498	196	5	(	(	PUNCT
ijassa-498	196	6	2017	2017	NUM
ijassa-498	196	7	)	)	PUNCT
ijassa-498	196	8	dynamic	dynamic	ADJ
ijassa-498	196	9	fracture	fracture	NOUN
ijassa-498	196	10	tests	test	VERB
ijassa-498	196	11	data	datum	NOUN
ijassa-498	196	12	analysis	analysis	NOUN
ijassa-498	196	13	based	base	VERB
ijassa-498	196	14	on	on	ADP
ijassa-498	196	15	the	the	DET
ijassa-498	196	16	randomized	randomized	ADJ
ijassa-498	196	17	approach	approach	NOUN
ijassa-498	196	18	41	41	NUM
ijassa-498	196	19	2	2	NUM
ijassa-498	196	20	.	.	PUNCT
ijassa-498	196	21	rosakis	rosakis	PROPN
ijassa-498	196	22	a.j	a.j	PROPN
ijassa-498	196	23	.	.	PROPN
ijassa-498	196	24	,	,	PUNCT
ijassa-498	196	25	duffy	duffy	PROPN
ijassa-498	196	26	j.	j.	PROPN
ijassa-498	196	27	&	&	CCONJ
ijassa-498	196	28	freund	freund	PROPN
ijassa-498	196	29	l.b	l.b	PROPN
ijassa-498	196	30	.	.	PUNCT
ijassa-498	196	31	(	(	PUNCT
ijassa-498	196	32	1984	1984	NUM
ijassa-498	196	33	)	)	PUNCT
ijassa-498	196	34	the	the	DET
ijassa-498	196	35	determination	determination	NOUN
ijassa-498	196	36	of	of	ADP
ijassa-498	196	37	dynamic	dynamic	ADJ
ijassa-498	196	38	fracture	fracture	NOUN
ijassa-498	196	39	toughness	toughness	NOUN
ijassa-498	196	40	of	of	ADP
ijassa-498	196	41	alsi	alsi	PROPN
ijassa-498	196	42	4340	4340	NUM
ijassa-498	196	43	steel	steel	NOUN
ijassa-498	196	44	by	by	ADP
ijassa-498	196	45	the	the	DET
ijassa-498	196	46	shadow	shadow	NOUN
ijassa-498	196	47	spot	spot	NOUN
ijassa-498	196	48	method	method	NOUN
ijassa-498	196	49	.	.	PUNCT
ijassa-498	197	1	j.	j.	PROPN
ijassa-498	197	2	mech	mech	PROPN
ijassa-498	197	3	.	.	PUNCT
ijassa-498	198	1	phys	phy	NOUN
ijassa-498	198	2	.	.	PUNCT
ijassa-498	199	1	solids	solid	NOUN
ijassa-498	199	2	,	,	PUNCT
ijassa-498	199	3	32	32	NUM
ijassa-498	199	4	(	(	PUNCT
ijassa-498	199	5	4	4	NUM
ijassa-498	199	6	)	)	PUNCT
ijassa-498	199	7	,	,	PUNCT
ijassa-498	199	8	443–460	443–460	NUM
ijassa-498	199	9	.	.	PUNCT
ijassa-498	200	1	3	3	X
ijassa-498	200	2	.	.	X
ijassa-498	200	3	shockey	shockey	PROPN
ijassa-498	200	4	d.a	d.a	PROPN
ijassa-498	200	5	.	.	PROPN
ijassa-498	200	6	,	,	PUNCT
ijassa-498	200	7	seaman	seaman	PROPN
ijassa-498	200	8	l.	l.	PROPN
ijassa-498	200	9	&	&	CCONJ
ijassa-498	200	10	curran	curran	PROPN
ijassa-498	200	11	d.r	d.r	PROPN
ijassa-498	200	12	.	.	PROPN
ijassa-498	200	13	(	(	PUNCT
ijassa-498	200	14	1983	1983	NUM
ijassa-498	200	15	)	)	PUNCT
ijassa-498	200	16	advanced	advanced	ADJ
ijassa-498	200	17	mathematical	mathematical	ADJ
ijassa-498	200	18	tools	tool	NOUN
ijassa-498	200	19	for	for	ADP
ijassa-498	200	20	automatic	automatic	ADJ
ijassa-498	200	21	control	control	NOUN
ijassa-498	200	22	engineers	engineer	NOUN
ijassa-498	200	23	:	:	PUNCT
ijassa-498	200	24	deterministic	deterministic	ADJ
ijassa-498	200	25	techniques	technique	NOUN
ijassa-498	200	26	,	,	PUNCT
ijassa-498	200	27	new	new	PROPN
ijassa-498	200	28	york	york	PROPN
ijassa-498	200	29	,	,	PUNCT
ijassa-498	200	30	us	we	PRON
ijassa-498	200	31	:	:	PUNCT
ijassa-498	200	32	springer	springer	NOUN
ijassa-498	200	33	.	.	PUNCT
ijassa-498	201	1	4	4	X
ijassa-498	201	2	.	.	X
ijassa-498	201	3	nikiforovsky	nikiforovsky	PROPN
ijassa-498	201	4	v.s.	v.s.	PROPN
ijassa-498	201	5	&	&	CCONJ
ijassa-498	201	6	shemyakin	shemyakin	PROPN
ijassa-498	201	7	e.i	e.i	PROPN
ijassa-498	201	8	.	.	PUNCT
ijassa-498	201	9	(	(	PUNCT
ijassa-498	201	10	1979	1979	NUM
ijassa-498	201	11	)	)	PUNCT
ijassa-498	201	12	dynamic	dynamic	ADJ
ijassa-498	201	13	fracture	fracture	NOUN
ijassa-498	201	14	of	of	ADP
ijassa-498	201	15	solids	solid	NOUN
ijassa-498	201	16	[	[	X
ijassa-498	201	17	dinamicheskoe	dinamicheskoe	NOUN
ijassa-498	201	18	razrushenie	razrushenie	NOUN
ijassa-498	201	19	tverdyh	tverdyh	PROPN
ijassa-498	201	20	tel	tel	PROPN
ijassa-498	201	21	]	]	PUNCT
ijassa-498	201	22	,	,	PUNCT
ijassa-498	201	23	novosibirsk	novosibirsk	PROPN
ijassa-498	201	24	,	,	PUNCT
ijassa-498	201	25	ussr	ussr	PROPN
ijassa-498	201	26	:	:	PUNCT
ijassa-498	201	27	nauka	nauka	PROPN
ijassa-498	202	1	[	[	X
ijassa-498	202	2	in	in	ADP
ijassa-498	202	3	russian	russian	PROPN
ijassa-498	202	4	]	]	PUNCT
ijassa-498	202	5	.	.	PUNCT
ijassa-498	202	6	5	5	X
ijassa-498	202	7	.	.	X
ijassa-498	202	8	ravi	ravi	NOUN
ijassa-498	202	9	-	-	PUNCT
ijassa-498	202	10	chandar	chandar	NOUN
ijassa-498	202	11	k.	k.	NOUN
ijassa-498	203	1	(	(	PUNCT
ijassa-498	203	2	2001	2001	NUM
ijassa-498	203	3	)	)	PUNCT
ijassa-498	203	4	experimental	experimental	ADJ
ijassa-498	203	5	challenges	challenge	NOUN
ijassa-498	203	6	in	in	ADP
ijassa-498	203	7	the	the	DET
ijassa-498	203	8	investigation	investigation	NOUN
ijassa-498	203	9	of	of	ADP
ijassa-498	203	10	dynamic	dynamic	ADJ
ijassa-498	203	11	fracture	fracture	NOUN
ijassa-498	203	12	of	of	ADP
ijassa-498	203	13	brittle	brittle	ADJ
ijassa-498	203	14	materials	material	NOUN
ijassa-498	203	15	.	.	PUNCT
ijassa-498	204	1	physical	physical	ADJ
ijassa-498	204	2	aspects	aspect	NOUN
ijassa-498	204	3	of	of	ADP
ijassa-498	204	4	fracture	fracture	NOUN
ijassa-498	204	5	.	.	PUNCT
ijassa-498	205	1	nato	nato	PROPN
ijassa-498	205	2	science	science	PROPN
ijassa-498	205	3	series	series	PROPN
ijassa-498	205	4	,	,	PUNCT
ijassa-498	205	5	ser	ser	PROPN
ijassa-498	205	6	.	.	PUNCT
ijassa-498	206	1	ii	ii	PROPN
ijassa-498	206	2	:	:	PUNCT
ijassa-498	207	1	mathematics	mathematic	NOUN
ijassa-498	207	2	,	,	PUNCT
ijassa-498	207	3	physics	physics	NOUN
ijassa-498	207	4	and	and	CCONJ
ijassa-498	207	5	chemistry	chemistry	NOUN
ijassa-498	207	6	,	,	PUNCT
ijassa-498	207	7	32	32	NUM
ijassa-498	207	8	,	,	PUNCT
ijassa-498	207	9	323–342	323–342	NUM
ijassa-498	207	10	.	.	NOUN
ijassa-498	207	11	6	6	NUM
ijassa-498	207	12	.	.	X
ijassa-498	207	13	kalthoff	kalthoff	PROPN
ijassa-498	207	14	j.f	j.f	PROPN
ijassa-498	207	15	.	.	PROPN
ijassa-498	207	16	&	&	CCONJ
ijassa-498	207	17	wincler	wincler	PROPN
ijassa-498	207	18	s.	s.	PROPN
ijassa-498	207	19	(	(	PUNCT
ijassa-498	207	20	1987	1987	NUM
ijassa-498	207	21	)	)	PUNCT
ijassa-498	207	22	failure	failure	NOUN
ijassa-498	207	23	mode	mode	NOUN
ijassa-498	207	24	transition	transition	NOUN
ijassa-498	207	25	at	at	ADP
ijassa-498	207	26	high	high	ADJ
ijassa-498	207	27	rates	rate	NOUN
ijassa-498	207	28	of	of	ADP
ijassa-498	207	29	shear	shear	NOUN
ijassa-498	207	30	loading	loading	NOUN
ijassa-498	207	31	.	.	PUNCT
ijassa-498	208	1	international	international	ADJ
ijassa-498	208	2	conference	conference	NOUN
ijassa-498	208	3	on	on	ADP
ijassa-498	208	4	impact	impact	NOUN
ijassa-498	208	5	loading	loading	NOUN
ijassa-498	208	6	and	and	CCONJ
ijassa-498	208	7	dynamic	dynamic	ADJ
ijassa-498	208	8	behavior	behavior	NOUN
ijassa-498	208	9	of	of	ADP
ijassa-498	208	10	materials	material	NOUN
ijassa-498	208	11	(	(	PUNCT
ijassa-498	208	12	impact87	impact87	ADJ
ijassa-498	208	13	)	)	PUNCT
ijassa-498	208	14	,	,	PUNCT
ijassa-498	208	15	bremen	breman	NOUN
ijassa-498	208	16	,	,	PUNCT
ijassa-498	208	17	west	west	PROPN
ijassa-498	208	18	germany	germany	PROPN
ijassa-498	208	19	,	,	PUNCT
ijassa-498	208	20	161–176	161–176	NUM
ijassa-498	208	21	.	.	PUNCT
ijassa-498	209	1	7	7	X
ijassa-498	209	2	.	.	X
ijassa-498	209	3	kanel	kanel	PROPN
ijassa-498	209	4	g.i	g.i	PROPN
ijassa-498	209	5	.	.	PROPN
ijassa-498	209	6	,	,	PUNCT
ijassa-498	209	7	razorenov	razorenov	NOUN
ijassa-498	209	8	s.v	s.v	PROPN
ijassa-498	209	9	.	.	PROPN
ijassa-498	209	10	,	,	PUNCT
ijassa-498	209	11	baumung	baumung	PROPN
ijassa-498	209	12	k.	k.	PROPN
ijassa-498	209	13	&	&	CCONJ
ijassa-498	209	14	singer	singer	PROPN
ijassa-498	209	15	j.	j.	PROPN
ijassa-498	209	16	(	(	PUNCT
ijassa-498	209	17	2001	2001	NUM
ijassa-498	209	18	)	)	PUNCT
ijassa-498	209	19	dynamic	dynamic	ADJ
ijassa-498	209	20	yield	yield	NOUN
ijassa-498	209	21	and	and	CCONJ
ijassa-498	209	22	tensile	tensile	NOUN
ijassa-498	209	23	strength	strength	NOUN
ijassa-498	209	24	of	of	ADP
ijassa-498	209	25	aluminum	aluminum	NOUN
ijassa-498	209	26	single	single	ADJ
ijassa-498	209	27	crystals	crystal	NOUN
ijassa-498	209	28	at	at	ADP
ijassa-498	209	29	temperatures	temperature	NOUN
ijassa-498	209	30	up	up	ADP
ijassa-498	209	31	to	to	ADP
ijassa-498	209	32	the	the	DET
ijassa-498	209	33	melting	melting	NOUN
ijassa-498	209	34	point	point	NOUN
ijassa-498	209	35	.	.	PUNCT
ijassa-498	210	1	journal	journal	NOUN
ijassa-498	210	2	of	of	ADP
ijassa-498	210	3	applied	applied	ADJ
ijassa-498	210	4	physics	physic	NOUN
ijassa-498	210	5	,	,	PUNCT
ijassa-498	210	6	90	90	NUM
ijassa-498	210	7	(	(	PUNCT
ijassa-498	210	8	1	1	NUM
ijassa-498	210	9	)	)	PUNCT
ijassa-498	210	10	,	,	PUNCT
ijassa-498	210	11	136–143	136–143	NUM
ijassa-498	210	12	.	.	PUNCT
ijassa-498	211	1	8	8	NUM
ijassa-498	211	2	.	.	PUNCT
ijassa-498	212	1	petrov	petrov	PROPN
ijassa-498	212	2	y.v	y.v	PROPN
ijassa-498	212	3	.	.	PROPN
ijassa-498	212	4	&	&	CCONJ
ijassa-498	212	5	utkin	utkin	PROPN
ijassa-498	212	6	a.a	a.a	PROPN
ijassa-498	212	7	.	.	PROPN
ijassa-498	212	8	(	(	PUNCT
ijassa-498	212	9	1989	1989	NUM
ijassa-498	212	10	)	)	PUNCT
ijassa-498	212	11	dependence	dependence	NOUN
ijassa-498	212	12	of	of	ADP
ijassa-498	212	13	the	the	DET
ijassa-498	212	14	dynamic	dynamic	ADJ
ijassa-498	212	15	strength	strength	NOUN
ijassa-498	212	16	on	on	ADP
ijassa-498	212	17	loading	loading	NOUN
ijassa-498	212	18	rate	rate	NOUN
ijassa-498	212	19	.	.	PUNCT
ijassa-498	213	1	mater	mater	NOUN
ijassa-498	213	2	.	.	PUNCT
ijassa-498	214	1	science	science	NOUN
ijassa-498	214	2	,	,	PUNCT
ijassa-498	214	3	25	25	NUM
ijassa-498	214	4	(	(	PUNCT
ijassa-498	214	5	2	2	NUM
ijassa-498	214	6	)	)	PUNCT
ijassa-498	214	7	,	,	PUNCT
ijassa-498	214	8	153–156	153–156	NUM
ijassa-498	214	9	.	.	PUNCT
ijassa-498	215	1	9	9	NUM
ijassa-498	215	2	.	.	PUNCT
ijassa-498	216	1	petrov	petrov	PROPN
ijassa-498	216	2	y.v	y.v	PROPN
ijassa-498	216	3	.	.	PROPN
ijassa-498	216	4	(	(	PUNCT
ijassa-498	216	5	2004	2004	NUM
ijassa-498	216	6	)	)	PUNCT
ijassa-498	216	7	incubation	incubation	NOUN
ijassa-498	216	8	time	time	NOUN
ijassa-498	216	9	criterion	criterion	NOUN
ijassa-498	216	10	and	and	CCONJ
ijassa-498	216	11	the	the	DET
ijassa-498	216	12	pulsed	pulse	VERB
ijassa-498	216	13	strength	strength	NOUN
ijassa-498	216	14	of	of	ADP
ijassa-498	216	15	continua	continua	PROPN
ijassa-498	216	16	:	:	PUNCT
ijassa-498	216	17	fracture	fracture	NOUN
ijassa-498	216	18	,	,	PUNCT
ijassa-498	216	19	cavitation	cavitation	NOUN
ijassa-498	216	20	,	,	PUNCT
ijassa-498	216	21	and	and	CCONJ
ijassa-498	216	22	electrical	electrical	ADJ
ijassa-498	216	23	breakdown	breakdown	NOUN
ijassa-498	216	24	.	.	PUNCT
ijassa-498	217	1	doklady	doklady	PROPN
ijassa-498	217	2	physics	physics	PROPN
ijassa-498	217	3	,	,	PUNCT
ijassa-498	217	4	49	49	NUM
ijassa-498	217	5	(	(	PUNCT
ijassa-498	217	6	4	4	NUM
ijassa-498	217	7	)	)	PUNCT
ijassa-498	217	8	,	,	PUNCT
ijassa-498	217	9	246–249	246–249	NUM
ijassa-498	217	10	.	.	PUNCT
ijassa-498	218	1	10	10	NUM
ijassa-498	218	2	.	.	PUNCT
ijassa-498	219	1	gruzdkov	gruzdkov	PROPN
ijassa-498	219	2	a.a	a.a	PROPN
ijassa-498	219	3	.	.	PROPN
ijassa-498	219	4	&	&	CCONJ
ijassa-498	219	5	petrov	petrov	PROPN
ijassa-498	219	6	y.v	y.v	PROPN
ijassa-498	219	7	.	.	PROPN
ijassa-498	219	8	(	(	PUNCT
ijassa-498	219	9	2008	2008	NUM
ijassa-498	219	10	)	)	PUNCT
ijassa-498	219	11	cavitation	cavitation	NOUN
ijassa-498	219	12	breakup	breakup	NOUN
ijassa-498	219	13	of	of	ADP
ijassa-498	219	14	lowand	lowand	ADJ
ijassa-498	219	15	high	high	ADJ
ijassa-498	219	16	-	-	PUNCT
ijassa-498	219	17	viscosity	viscosity	NOUN
ijassa-498	219	18	liquids	liquid	NOUN
ijassa-498	219	19	.	.	PUNCT
ijassa-498	220	1	technical	technical	ADJ
ijassa-498	220	2	physics	physics	PROPN
ijassa-498	220	3	,	,	PUNCT
ijassa-498	220	4	53	53	NUM
ijassa-498	220	5	(	(	PUNCT
ijassa-498	220	6	3	3	NUM
ijassa-498	220	7	)	)	PUNCT
ijassa-498	220	8	,	,	PUNCT
ijassa-498	220	9	291–295	291–295	NUM
ijassa-498	220	10	.	.	NOUN
ijassa-498	220	11	11	11	NUM
ijassa-498	220	12	.	.	PUNCT
ijassa-498	221	1	pugno	pugno	PROPN
ijassa-498	221	2	n.m	n.m	PROPN
ijassa-498	221	3	.	.	PROPN
ijassa-498	221	4	(	(	PUNCT
ijassa-498	221	5	2006	2006	NUM
ijassa-498	221	6	)	)	PUNCT
ijassa-498	221	7	dynamic	dynamic	ADJ
ijassa-498	221	8	quantized	quantize	VERB
ijassa-498	221	9	fracture	fracture	NOUN
ijassa-498	221	10	mechanics	mechanic	NOUN
ijassa-498	221	11	.	.	PUNCT
ijassa-498	222	1	international	international	ADJ
ijassa-498	222	2	journal	journal	PROPN
ijassa-498	222	3	of	of	ADP
ijassa-498	222	4	fracture	fracture	NOUN
ijassa-498	222	5	,	,	PUNCT
ijassa-498	222	6	140	140	NUM
ijassa-498	222	7	(	(	PUNCT
ijassa-498	222	8	1	1	NUM
ijassa-498	222	9	-	-	SYM
ijassa-498	222	10	4	4	NUM
ijassa-498	222	11	)	)	PUNCT
ijassa-498	222	12	,	,	PUNCT
ijassa-498	222	13	159–168	159–168	NUM
ijassa-498	222	14	.	.	PUNCT
ijassa-498	223	1	12	12	NUM
ijassa-498	223	2	.	.	PUNCT
ijassa-498	224	1	wang	wang	PROPN
ijassa-498	224	2	q.z	q.z	PROPN
ijassa-498	224	3	.	.	PROPN
ijassa-498	224	4	,	,	PUNCT
ijassa-498	224	5	zhang	zhang	PROPN
ijassa-498	224	6	s.	s.	PROPN
ijassa-498	224	7	,	,	PUNCT
ijassa-498	224	8	&	&	CCONJ
ijassa-498	224	9	xie	xie	PROPN
ijassa-498	224	10	h.p	h.p	PROPN
ijassa-498	224	11	.	.	PROPN
ijassa-498	225	1	(	(	PUNCT
ijassa-498	225	2	2010	2010	NUM
ijassa-498	225	3	)	)	PUNCT
ijassa-498	225	4	rock	rock	NOUN
ijassa-498	225	5	dynamic	dynamic	ADJ
ijassa-498	225	6	fracture	fracture	NOUN
ijassa-498	225	7	toughness	toughness	NOUN
ijassa-498	225	8	tested	test	VERB
ijassa-498	225	9	with	with	ADP
ijassa-498	225	10	holed	hole	VERB
ijassa-498	225	11	-	-	PUNCT
ijassa-498	225	12	cracked	crack	VERB
ijassa-498	225	13	flattened	flatten	VERB
ijassa-498	225	14	brazilian	brazilian	ADJ
ijassa-498	225	15	discs	disc	NOUN
ijassa-498	225	16	diametrically	diametrically	ADV
ijassa-498	225	17	impacted	impact	VERB
ijassa-498	225	18	by	by	ADP
ijassa-498	225	19	sphb	sphb	NOUN
ijassa-498	225	20	and	and	CCONJ
ijassa-498	225	21	its	its	PRON
ijassa-498	225	22	size	size	NOUN
ijassa-498	225	23	effect	effect	NOUN
ijassa-498	225	24	.	.	PUNCT
ijassa-498	226	1	experimental	experimental	ADJ
ijassa-498	226	2	mechanics	mechanic	NOUN
ijassa-498	226	3	,	,	PUNCT
ijassa-498	226	4	50	50	NUM
ijassa-498	226	5	,	,	PUNCT
ijassa-498	226	6	877–885	877–885	NUM
ijassa-498	226	7	.	.	NOUN
ijassa-498	226	8	13	13	NUM
ijassa-498	226	9	.	.	PUNCT
ijassa-498	227	1	bai	bai	PROPN
ijassa-498	227	2	e.-w	e.-w	PROPN
ijassa-498	227	3	.	.	PROPN
ijassa-498	227	4	,	,	PUNCT
ijassa-498	227	5	nagpal	nagpal	PROPN
ijassa-498	227	6	k.m	k.m	PROPN
ijassa-498	227	7	.	.	PROPN
ijassa-498	227	8	&	&	CCONJ
ijassa-498	227	9	tempo	tempo	PROPN
ijassa-498	227	10	r.	r.	PROPN
ijassa-498	227	11	(	(	PUNCT
ijassa-498	227	12	1996	1996	NUM
ijassa-498	227	13	)	)	PUNCT
ijassa-498	227	14	bounded	bound	VERB
ijassa-498	227	15	-	-	PUNCT
ijassa-498	227	16	error	error	NOUN
ijassa-498	227	17	parameter	parameter	NOUN
ijassa-498	227	18	estimation	estimation	NOUN
ijassa-498	227	19	:	:	PUNCT
ijassa-498	227	20	noise	noise	NOUN
ijassa-498	227	21	models	model	NOUN
ijassa-498	227	22	and	and	CCONJ
ijassa-498	227	23	recursive	recursive	ADJ
ijassa-498	227	24	algorithms	algorithm	NOUN
ijassa-498	227	25	.	.	PUNCT
ijassa-498	228	1	automatica	automatica	PROPN
ijassa-498	228	2	,	,	PUNCT
ijassa-498	228	3	32	32	NUM
ijassa-498	228	4	(	(	PUNCT
ijassa-498	228	5	7	7	NUM
ijassa-498	228	6	)	)	PUNCT
ijassa-498	228	7	,	,	PUNCT
ijassa-498	228	8	985–999	985–999	NUM
ijassa-498	228	9	.	.	PUNCT
ijassa-498	229	1	14	14	NUM
ijassa-498	229	2	.	.	PUNCT
ijassa-498	230	1	blanchini	blanchini	PROPN
ijassa-498	230	2	f.	f.	PROPN
ijassa-498	230	3	&	&	CCONJ
ijassa-498	230	4	sznaier	sznaier	PROPN
ijassa-498	230	5	m.	m.	NOUN
ijassa-498	230	6	(	(	PUNCT
ijassa-498	230	7	2012	2012	NUM
ijassa-498	230	8	)	)	PUNCT
ijassa-498	230	9	a	a	DET
ijassa-498	230	10	convex	convex	NOUN
ijassa-498	230	11	optimization	optimization	NOUN
ijassa-498	230	12	approach	approach	NOUN
ijassa-498	230	13	to	to	ADP
ijassa-498	230	14	synthesizing	synthesize	VERB
ijassa-498	230	15	bounded	bounded	ADJ
ijassa-498	230	16	complexity	complexity	NOUN
ijassa-498	230	17	hinf	hinf	ADJ
ijassa-498	230	18	filters	filter	NOUN
ijassa-498	230	19	.	.	PUNCT
ijassa-498	231	1	ieee	ieee	NOUN
ijassa-498	231	2	transactions	transaction	NOUN
ijassa-498	231	3	on	on	ADP
ijassa-498	231	4	automatic	automatic	ADJ
ijassa-498	231	5	control	control	NOUN
ijassa-498	231	6	,	,	PUNCT
ijassa-498	231	7	57	57	NUM
ijassa-498	231	8	(	(	PUNCT
ijassa-498	231	9	1	1	NUM
ijassa-498	231	10	)	)	PUNCT
ijassa-498	231	11	,	,	PUNCT
ijassa-498	231	12	219	219	NUM
ijassa-498	231	13	–	–	PUNCT
ijassa-498	231	14	224	224	NUM
ijassa-498	231	15	.	.	PUNCT
ijassa-498	232	1	15	15	NUM
ijassa-498	232	2	.	.	PUNCT
ijassa-498	232	3	kolbin	kolbin	PROPN
ijassa-498	232	4	v.v	v.v	PROPN
ijassa-498	232	5	.	.	PROPN
ijassa-498	232	6	(	(	PUNCT
ijassa-498	232	7	2014	2014	NUM
ijassa-498	232	8	)	)	PUNCT
ijassa-498	232	9	generalized	generalized	ADJ
ijassa-498	232	10	mathematical	mathematical	ADJ
ijassa-498	232	11	programming	programming	NOUN
ijassa-498	232	12	as	as	ADP
ijassa-498	232	13	a	a	DET
ijassa-498	232	14	decision	decision	NOUN
ijassa-498	232	15	model	model	NOUN
ijassa-498	232	16	.	.	PUNCT
ijassa-498	233	1	applied	apply	VERB
ijassa-498	233	2	mathematical	mathematical	ADJ
ijassa-498	233	3	sciences	science	NOUN
ijassa-498	233	4	,	,	PUNCT
ijassa-498	233	5	8	8	NUM
ijassa-498	233	6	(	(	PUNCT
ijassa-498	233	7	69	69	NUM
ijassa-498	233	8	-	-	SYM
ijassa-498	233	9	72	72	NUM
ijassa-498	233	10	)	)	PUNCT
ijassa-498	233	11	,	,	PUNCT
ijassa-498	233	12	3469	3469	NUM
ijassa-498	233	13	-	-	SYM
ijassa-498	233	14	3476	3476	NUM
ijassa-498	233	15	.	.	PUNCT
ijassa-498	234	1	16	16	NUM
ijassa-498	234	2	.	.	PUNCT
ijassa-498	234	3	volkova	volkova	PROPN
ijassa-498	234	4	m.v	m.v	PROPN
ijassa-498	234	5	.	.	PROPN
ijassa-498	235	1	(	(	PUNCT
ijassa-498	235	2	2017	2017	NUM
ijassa-498	235	3	)	)	PUNCT
ijassa-498	235	4	one	one	NUM
ijassa-498	235	5	method	method	NOUN
ijassa-498	235	6	to	to	PART
ijassa-498	235	7	solve	solve	VERB
ijassa-498	235	8	a	a	DET
ijassa-498	235	9	problem	problem	NOUN
ijassa-498	235	10	of	of	ADP
ijassa-498	235	11	nonlinear	nonlinear	ADJ
ijassa-498	235	12	two	two	NUM
ijassa-498	235	13	-	-	PUNCT
ijassa-498	235	14	stage	stage	NOUN
ijassa-498	235	15	perspective	perspective	NOUN
ijassa-498	235	16	stochastic	stochastic	ADJ
ijassa-498	235	17	planning	planning	NOUN
ijassa-498	235	18	.	.	PUNCT
ijassa-498	236	1	international	international	ADJ
ijassa-498	236	2	journal	journal	NOUN
ijassa-498	236	3	of	of	ADP
ijassa-498	236	4	pure	pure	ADJ
ijassa-498	236	5	and	and	CCONJ
ijassa-498	236	6	applied	applied	ADJ
ijassa-498	236	7	mathematics	mathematic	NOUN
ijassa-498	236	8	,	,	PUNCT
ijassa-498	236	9	112	112	NUM
ijassa-498	236	10	(	(	PUNCT
ijassa-498	236	11	4	4	NUM
ijassa-498	236	12	)	)	PUNCT
ijassa-498	236	13	,	,	PUNCT
ijassa-498	236	14	817	817	NUM
ijassa-498	236	15	-	-	SYM
ijassa-498	236	16	826	826	NUM
ijassa-498	236	17	.	.	PUNCT
ijassa-498	237	1	17	17	NUM
ijassa-498	237	2	.	.	PUNCT
ijassa-498	237	3	csaji	csaji	PROPN
ijassa-498	237	4	b.	b.	PROPN
ijassa-498	237	5	,	,	PUNCT
ijassa-498	237	6	campi	campi	PROPN
ijassa-498	237	7	m.c	m.c	PROPN
ijassa-498	237	8	.	.	PROPN
ijassa-498	237	9	&	&	CCONJ
ijassa-498	237	10	weyer	weyer	PROPN
ijassa-498	237	11	e.	e.	PROPN
ijassa-498	237	12	(	(	PUNCT
ijassa-498	237	13	2015	2015	NUM
ijassa-498	237	14	)	)	PUNCT
ijassa-498	237	15	sign	sign	NOUN
ijassa-498	237	16	-	-	PUNCT
ijassa-498	237	17	perturbed	perturb	VERB
ijassa-498	237	18	sums	sum	NOUN
ijassa-498	237	19	:	:	PUNCT
ijassa-498	237	20	a	a	DET
ijassa-498	237	21	new	new	ADJ
ijassa-498	237	22	system	system	NOUN
ijassa-498	237	23	identificaiton	identificaiton	NOUN
ijassa-498	237	24	approach	approach	VERB
ijassa-498	237	25	for	for	ADP
ijassa-498	237	26	contructing	contructe	VERB
ijassa-498	237	27	exact	exact	ADJ
ijassa-498	237	28	non	non	ADJ
ijassa-498	237	29	-	-	ADJ
ijassa-498	237	30	asymptotic	asymptotic	ADJ
ijassa-498	237	31	confidence	confidence	NOUN
ijassa-498	237	32	regions	region	NOUN
ijassa-498	237	33	in	in	ADP
ijassa-498	237	34	linear	linear	PROPN
ijassa-498	237	35	regression	regression	NOUN
ijassa-498	237	36	models	model	NOUN
ijassa-498	237	37	.	.	PUNCT
ijassa-498	238	1	ieee	ieee	PROPN
ijassa-498	238	2	trans	trans	PROPN
ijassa-498	238	3	.	.	PUNCT
ijassa-498	239	1	on	on	ADP
ijassa-498	239	2	signal	signal	ADJ
ijassa-498	239	3	processing	processing	NOUN
ijassa-498	239	4	,	,	PUNCT
ijassa-498	239	5	63	63	NUM
ijassa-498	239	6	(	(	PUNCT
ijassa-498	239	7	1	1	NUM
ijassa-498	239	8	)	)	PUNCT
ijassa-498	239	9	,	,	PUNCT
ijassa-498	239	10	169–181	169–181	NUM
ijassa-498	239	11	.	.	PUNCT
ijassa-498	240	1	18	18	NUM
ijassa-498	240	2	.	.	X
ijassa-498	240	3	bragov	bragov	PROPN
ijassa-498	240	4	a.m.	a.m.	ADV
ijassa-498	240	5	,	,	PUNCT
ijassa-498	240	6	konstantinov	konstantinov	PROPN
ijassa-498	240	7	a.y	a.y	PROPN
ijassa-498	240	8	.	.	PROPN
ijassa-498	240	9	,	,	PUNCT
ijassa-498	240	10	petrov	petrov	PROPN
ijassa-498	240	11	y.v	y.v	PROPN
ijassa-498	240	12	.	.	PROPN
ijassa-498	240	13	&	&	CCONJ
ijassa-498	240	14	evstifeev	evstifeev	PROPN
ijassa-498	240	15	a.	a.	PROPN
ijassa-498	240	16	(	(	PUNCT
ijassa-498	240	17	2015	2015	NUM
ijassa-498	240	18	)	)	PUNCT
ijassa-498	240	19	structuraltemporal	structuraltemporal	ADJ
ijassa-498	240	20	approach	approach	NOUN
ijassa-498	240	21	for	for	ADP
ijassa-498	240	22	dynamic	dynamic	ADJ
ijassa-498	240	23	strength	strength	NOUN
ijassa-498	240	24	characterization	characterization	NOUN
ijassa-498	240	25	of	of	ADP
ijassa-498	240	26	rock	rock	NOUN
ijassa-498	240	27	.	.	PUNCT
ijassa-498	241	1	materials	material	NOUN
ijassa-498	241	2	physics	physic	NOUN
ijassa-498	241	3	and	and	CCONJ
ijassa-498	241	4	mechanics	mechanic	NOUN
ijassa-498	241	5	,	,	PUNCT
ijassa-498	241	6	23	23	NUM
ijassa-498	241	7	,	,	PUNCT
ijassa-498	241	8	61–65	61–65	NUM
ijassa-498	241	9	.	.	PUNCT
ijassa-498	242	1	19	19	NUM
ijassa-498	242	2	.	.	X
ijassa-498	242	3	volkova	volkova	PROPN
ijassa-498	242	4	m.	m.	PROPN
ijassa-498	242	5	,	,	PUNCT
ijassa-498	242	6	granichin	granichin	PROPN
ijassa-498	242	7	o.	o.	PROPN
ijassa-498	242	8	,	,	PUNCT
ijassa-498	242	9	petrov	petrov	PROPN
ijassa-498	242	10	y.	y.	PROPN
ijassa-498	242	11	&	&	CCONJ
ijassa-498	242	12	volkov	volkov	PROPN
ijassa-498	242	13	g.	g.	PROPN
ijassa-498	242	14	(	(	PUNCT
ijassa-498	242	15	2017	2017	NUM
ijassa-498	242	16	)	)	PUNCT
ijassa-498	242	17	sign	sign	NOUN
ijassa-498	242	18	-	-	PUNCT
ijassa-498	242	19	perturbed	perturb	VERB
ijassa-498	242	20	sums	sum	NOUN
ijassa-498	242	21	approach	approach	NOUN
ijassa-498	242	22	for	for	ADP
ijassa-498	242	23	data	data	NOUN
ijassa-498	242	24	treatment	treatment	NOUN
ijassa-498	242	25	of	of	ADP
ijassa-498	242	26	dynamic	dynamic	ADJ
ijassa-498	242	27	fracture	fracture	NOUN
ijassa-498	242	28	tests	test	NOUN
ijassa-498	242	29	.	.	PUNCT
ijassa-498	243	1	proc.of	proc.of	X
ijassa-498	243	2	the	the	DET
ijassa-498	243	3	56th	56th	ADJ
ijassa-498	243	4	ieee	ieee	NOUN
ijassa-498	243	5	conference	conference	NOUN
ijassa-498	243	6	on	on	ADP
ijassa-498	243	7	decision	decision	NOUN
ijassa-498	243	8	and	and	CCONJ
ijassa-498	243	9	control(cdc	control(cdc	NOUN
ijassa-498	243	10	)	)	PUNCT
ijassa-498	243	11	,	,	PUNCT
ijassa-498	243	12	melbourne	melbourne	PROPN
ijassa-498	243	13	,	,	PUNCT
ijassa-498	243	14	australia	australia	PROPN
ijassa-498	243	15	,	,	PUNCT
ijassa-498	243	16	1652	1652	NUM
ijassa-498	243	17	-	-	SYM
ijassa-498	243	18	1656	1656	NUM
ijassa-498	243	19	.	.	PUNCT
ijassa-498	244	1	20	20	NUM
ijassa-498	244	2	.	.	PUNCT
ijassa-498	245	1	senov	senov	PROPN
ijassa-498	245	2	a.	a.	PROPN
ijassa-498	245	3	,	,	PUNCT
ijassa-498	245	4	amelin	amelin	PROPN
ijassa-498	245	5	k.	k.	PROPN
ijassa-498	245	6	,	,	PUNCT
ijassa-498	245	7	amelina	amelina	PROPN
ijassa-498	245	8	n.	n.	PROPN
ijassa-498	245	9	&	&	CCONJ
ijassa-498	245	10	granichin	granichin	PROPN
ijassa-498	245	11	o.	o.	PROPN
ijassa-498	245	12	(	(	PUNCT
ijassa-498	245	13	2014	2014	NUM
ijassa-498	245	14	)	)	PUNCT
ijassa-498	245	15	exact	exact	ADJ
ijassa-498	245	16	confidence	confidence	NOUN
ijassa-498	245	17	regions	region	NOUN
ijassa-498	245	18	for	for	ADP
ijassa-498	245	19	linear	linear	ADJ
ijassa-498	245	20	regression	regression	NOUN
ijassa-498	245	21	parameter	parameter	NOUN
ijassa-498	245	22	under	under	ADP
ijassa-498	245	23	external	external	ADJ
ijassa-498	245	24	arbitrary	arbitrary	ADJ
ijassa-498	245	25	noise	noise	NOUN
ijassa-498	245	26	.	.	PUNCT
ijassa-498	246	1	proc.of	proc.of	PROPN
ijassa-498	246	2	the	the	DET
ijassa-498	246	3	2014	2014	NUM
ijassa-498	246	4	american	american	PROPN
ijassa-498	246	5	control	control	PROPN
ijassa-498	246	6	conference	conference	PROPN
ijassa-498	246	7	(	(	PUNCT
ijassa-498	246	8	acc	acc	PROPN
ijassa-498	246	9	)	)	PUNCT
ijassa-498	246	10	,	,	PUNCT
ijassa-498	246	11	portland	portland	PROPN
ijassa-498	246	12	,	,	PUNCT
ijassa-498	246	13	usa	usa	PROPN
ijassa-498	246	14	,	,	PUNCT
ijassa-498	246	15	5097–5102	5097–5102	NUM
ijassa-498	246	16	.	.	PUNCT
ijassa-498	247	1	21	21	NUM
ijassa-498	247	2	.	.	PUNCT
ijassa-498	248	1	senov	senov	PROPN
ijassa-498	248	2	a.a	a.a	PROPN
ijassa-498	248	3	.	.	PROPN
ijassa-498	248	4	&	&	CCONJ
ijassa-498	248	5	granichin	granichin	PROPN
ijassa-498	248	6	o.n	o.n	PROPN
ijassa-498	248	7	.	.	PUNCT
ijassa-498	248	8	(	(	PUNCT
ijassa-498	248	9	2014	2014	NUM
ijassa-498	248	10	)	)	PUNCT
ijassa-498	248	11	identifikacija	identifikacija	NOUN
ijassa-498	248	12	parametrov	parametrov	PROPN
ijassa-498	248	13	linejnoj	linejnoj	PROPN
ijassa-498	248	14	regressii	regressii	VERB
ijassa-498	248	15	pri	pri	PROPN
ijassa-498	248	16	proizvol’nyh	proizvol’nyh	NOUN
ijassa-498	248	17	vneshnih	vneshnih	PROPN
ijassa-498	248	18	pomehah	pomehah	PROPN
ijassa-498	248	19	v	v	ADP
ijassa-498	248	20	nabljudenijah	nabljudenijah	PROPN
ijassa-498	248	21	.	.	PUNCT
ijassa-498	249	1	xii	xii	PROPN
ijassa-498	249	2	vserossijskoe	vserossijskoe	PROPN
ijassa-498	249	3	soveshhanie	soveshhanie	PROPN
ijassa-498	249	4	po	po	PROPN
ijassa-498	249	5	problemam	problemam	ADJ
ijassa-498	249	6	upravlenija	upravlenija	ADJ
ijassa-498	249	7	(	(	PUNCT
ijassa-498	249	8	vspu-2014	vspu-2014	NOUN
ijassa-498	249	9	)	)	PUNCT
ijassa-498	249	10	,	,	PUNCT
ijassa-498	249	11	moscow	moscow	PROPN
ijassa-498	249	12	,	,	PUNCT
ijassa-498	249	13	russia	russia	PROPN
ijassa-498	249	14	,	,	PUNCT
ijassa-498	249	15	2708–2719	2708–2719	NUM
ijassa-498	250	1	[	[	X
ijassa-498	250	2	in	in	ADP
ijassa-498	250	3	russian	russian	PROPN
ijassa-498	250	4	]	]	PUNCT
ijassa-498	250	5	.	.	PUNCT
ijassa-498	251	1	copyright	copyright	NOUN
ijassa-498	252	1	c	c	ADP
ijassa-498	252	2	©	©	PROPN
ijassa-498	252	3	2017	2017	NUM
ijassa-498	252	4	assa	assa	NOUN
ijassa-498	252	5	.	.	PUNCT
ijassa-498	253	1	adv	adv	PROPN
ijassa-498	253	2	syst	syst	PROPN
ijassa-498	253	3	sci	sci	PROPN
ijassa-498	253	4	appl	appl	PROPN
ijassa-498	253	5	(	(	PUNCT
ijassa-498	253	6	2017	2017	NUM
ijassa-498	253	7	)	)	PUNCT
ijassa-498	253	8	introduction	introduction	NOUN
ijassa-498	253	9	incubation	incubation	NOUN
ijassa-498	253	10	time	time	NOUN
ijassa-498	253	11	approach	approach	NOUN
ijassa-498	253	12	problem	problem	NOUN
ijassa-498	253	13	description	description	NOUN
ijassa-498	253	14	sps	sps	NOUN
ijassa-498	253	15	procedure	procedure	NOUN
ijassa-498	253	16	for	for	ADP
ijassa-498	253	17	constructing	constructing	NOUN
ijassa-498	253	18	of	of	ADP
ijassa-498	253	19	confidence	confidence	NOUN
ijassa-498	253	20	regions	region	NOUN
ijassa-498	253	21	experiments	experiment	NOUN
ijassa-498	253	22	conclusion	conclusion	VERB