Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Half Reaction	E°	$\begin{array}{c}\text{more easily reduced} \\\text{less easily oxidized} \\\downarrow \\\text{more easily oxidized} \\\text{less easily reduced}\end{array}$

$\text{F}_{2(\text{g})} + 2\text{e}^- \rightarrow 2\text{F}^-_{~~\text{(aq)}}$	2.87 V

$\text{Cl}_{2(\text{g})} + 2\text{e}^- \rightarrow 2\text{Cl}^-_{~~\text{(aq)}}$	1.36 V

$\mathrm{Ag}^{+}_{~~(aq)}+\mathrm{e}^-\to\mathrm{Ag}_{(s)}$	0.80 V

$\mathrm{Fe}^{3+}{}_{(\mathrm{aq})}+\mathrm{e}^{-}\rightarrow\mathrm{Fe}^{2+}{}_{(\mathrm{aq})}$	0.77 V

$\mathrm{Cu^{2+}}_{(aq)} + 2\mathrm{e^-} \to \mathrm{Cu_{(s)}}$	0.34 V

$\mathrm{Sn}^{4+}{}_{(aq)} + 2\mathrm{e}^- \to \mathrm{Sn}^{2+}{}_{(aq)}$	0.15 V

$2\mathrm{H}^{+}{}_{(\mathrm{aq})} + 2\mathrm{e}^- \to \mathrm{H}_{2(\mathrm{g})}$	0 V

${\mathrm{Pb^{2+}}_{(aq)}+2\mathrm{e^{-}\to Pb_{(s)}}}$	-0.13 V

$\mathrm{Ni}^{2+}_{~~~~(aq)} + 2\mathrm{e}^- \to \mathrm{Ni}_{(s)}$	-0.26 V

${\mathrm{Fe^{2+}}_{(\mathrm{aq})}+2\mathrm{e}^{-}\to\mathrm{Fe}_{(\mathrm{s})}}$	-0.44 V

$\mathrm{Zn}^{2+}{}_{(aq)}+2\mathrm{e}^{-}\rightarrow\mathrm{Zn}_{(s)}$	-0.76 V

$\mathrm{Al}^{3+}{}_{(\mathrm{aq})} + 3\mathrm{e}^- \to \mathrm{Al}_{(\mathrm{s})}$	-1.66 V

$\mathrm{Mg}^{2+}_{~~~(aq)} + 2 \mathrm{e}^- \rightarrow \mathrm{Mg}(\mathrm{s})$	-2.37 V

$\mathsf{Na}^{+}_{~~~(aq)}+\mathsf{e}^{-}\rightarrow\mathsf{Na}_{(s)}$	-2.71 V

$\mathrm{Li}^{+}_{~~~(\mathrm{aq})}+\mathrm{e}^{-}\to\mathrm{Li}_{(\mathrm{s})}$	-3.04 V


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Optimized criterion

	Transporttime/cost	 Workinghour costs	Numberof visits	Workloadbalancing	Waiting timefor patient	 Degree ofcompetence

[3]	X

[7]		X

[8]			X

[5]	X

[6]				X

[11]	X		X

[9]	X				X

[1]	X

[2]	X

[10]	X

our problem	X			X		X


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Synchrony metric

	Mean correlation($\rho$)	Kendall'sconcordance(W)	$\mathrm{LdM}(\phi)$	Concurrency(C)	Phasesynchrony (Q)

	Value	$P$-value	Value	$P$-value	Value	$P$-value	Value	$P$-value	Value	$P$-value

AR(2)	0.201	0·028	0·584	0·006	0.601	0.038	0.132	1.000	0·005	0.996

AR(2) + positively correlated noise	0.212	0·024 	0.591	0.003	0.606	0·009	0.504	0·001	0.052	0.001

Sinusoidal model + uncorrelated noise	0·450	0·085	0·735	0·000	0·725	0·043	0.338	0.388	0.041	0·049

Sinusoidal model + negatively correlated noise	-0.123	0·782	0·474	0·793	0.439	0.638	0.000	1.000	0.253	0·001


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Maternal complication	Normal delivery	Normal-complicated

	Mean	Standard deviation	Mean	Standard deviation	Mean	Standarderror

Panel A: Health seeking behaviour

Gave birth in a private health facility	0.707	0.456	0.035	0.185	-0.672***	0.031

Gave birth by caesarean section	0.777	0.417	0.000	0.000	-0.777***	0.026

Panel B: Income and loss of resources

Maternal health spending (Taka)	19532	12354	3122	3464	-16409***	808

Days of woman's labour lost (days)	36.1	16.6	21.3	14.4	-14.8***	1.4

Household earnings/capita atbaseline (Taka)	2897	3085	2410	4024	-486	336

Panel C: Household expenditure andchildren enrolled at school at baseline

Nonmedical expenditure/capita(Taka)	1969	1711	1832	2294	-137	190

Change in nonmedical expenditure/capita (Taka)	-95	1478	35	1999	130	165

Nonmedical recurrent expenditure/capita (Taka)	1513	829	1324	776	-189**	74

Food expenditure/capita (Taka)	900	400	787	318	-113***	33

Number of children enrolled atschool	1.00	1.01	0.96	0.99	-0.0431	0.092

Panel D: Coping strategies

Borrowing to pay for maternal care(Taka)	7663	11349	987	2601	-6676***	732

Sale of assets to pay for maternalcare (Taka)	1347	5371	97	826	-1250***	341

Transfers to pay for maternal care(Taka)	3646	6446	259	771	-3387***	407

Panel E: Demographic variables

Age	25.7	5.7	25.5	5.9	-0.2	0.5

Muslim	0.84	0.37	0.88	0.32	0.04	0.03

Asset wealth Q1	0.14	0.34	0.08	0.27	0.06**	0.03

$ \text{ Asset wealth Q2} $	0.14	0.35	0.16	0.37	0.02	0.03

$ \text { Asset wealth Q3 } $	0.13	0.34	0.22	0.42	0.09***	0.04

$ \text{ Asset wealth Q4} $	0.17	0.38	0.15	0.36	-0.02	0.03

$ \text{ Asset wealth Q5} $	0.38	0.49	0.23	0.42	-0.15***	0.04

Woman has no education	0.13	0.34	0.16	0.37	0.03	0.03

Woman has 1-3 years education	0.02	0.15	0.04	0.20	0.02	0.02

Woman has 4-7 years education	0.25	0.43	0.39	0.49	0.15***	0.04

Woman has more than 8 yearseducation	0.40	0.49	0.60	0.49	-0.20***	0.05

Family size	6.3	2.4	5.8	2.3	-0.5**	0.2

Dry season at first interview	0.29	0.46	0.28	0.45	-0.01	0.04

Wet season at first interview	0.27	0.45	0.23	0.42	-0.04	0.04

Number of observations	215	-	255	-	-	-


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Hawker and Connell (1989)	ANZECC (2000)	Present study

	Inshore	Offshore	Inshore	Offshore

Chlorophyll- $a\left(\mu \mathrm{gl}^{-1}\right)$	0.59	0.7-1.4	0.5-0.9	0.5-0.6	0.3-0.5

Phosphate (FRP) $\left(\mu \mathrm{g} 1^{-1}\right)$	0.25	5	2-5	3-8	3-4

Ammonium $\left(\mu \mathrm{gl}^{-1}\right)$	0.65	1-10	1-6

Nitrate + nitrite $\left(\mu \mathrm{gl}^{-1}\right)$	1.31	2-8	1-4

$DIN^a (\mu g l^{-1})$	2	3-18	2-10	1-5	1

$\mathrm{TP}\left(\mu \mathrm{gl}^{-1}\right)$		15	10	15-20	12-20

TN $\left(\mu \mathrm{gl}^{-1}\right)$		100	100	145-155	120-135


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Set A	Set B	Set C

Spectral range $\left(\mathrm{cm}^{-1}\right)$	14,000-	14,000-	13,500-

8000	8000	8500

Sample volume $\left(\mathrm{cm}^{3}\right)$	100	100	100

Optical path (cm)	10	10	10

Spectra resolution $\left(\mathrm{cm}^{-1}\right)$	16	8	8

Number of scans	64	64	72

Cell material	Quartz	Quartz	Quartz

Time of one measurement (min)	2-3	3-4	2-3

Number of measurements (persample)	3	3-5	3


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Variable	Model 1 OR	Model 2 OR	 % Change in OR(FromModel 1 to Model 2)

Youth gender	$1.027$	$1.018$

Age	$.833^{***}$	$.831^{***}$

CBCL total problem	$1.054^{***}$	$1.054^{* * *}$

Household income	$1.036^{***}$	$1.034^{* * *}$

Parental education	$1.318^{*}$	$1.278$

Parent gender	$1.162$	$1.176$

$\text{African Americans}^a$	$.835$	$.955$	14.4 14.4

$\text{Asian/Pacific Islanders}^a$	$.334^{**}$	$.385^{**}$	15.3

$\text{Latinos}^a$	$.705^{*}$	$.894$	26.8 26.8

$\text{Affinity to Alternative culture (medium)}^{b}$		$1.128$

$\text{Affinity to Alternative culture (high)}^{b}$		$.513^{**}$


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Nomenclature

k	thermal conductivity (W/(m K))	h	heat transfer coefficient $(\mathrm{W} / \mathrm{m}^{2} \mathrm{~K})$

$c_p$	specific heat $(\mathrm{J} /(\mathrm{kg} \mathrm{K}))$	T	temperature (at cable surface) $\left({ }^{\circ} \mathrm{C}\right)$

$c_w$	specific heat of liquid water $(\mathrm{J} /(\mathrm{kg} \mathrm{K}))$	$T_0$	reference temperature (ambient) $\left({ }^{\circ} \mathrm{C}\right)$

$μ$	dynamic viscosity (Pa s)	$l_e$	latent heat of evaporation $(\mathrm{J} / \mathrm{mol})$

$ρ$	density $\left(\mathrm{kg} / \mathrm{m}^{3}\right)$	$p_s$	saturation vapour pressure at cable surface (Pa)

$ρ_0$	density (reference) $\left(\mathrm{kg} / \mathrm{m}^{3}\right)$	$p_a$	saturation vapour pressure in atmosphere (Pa)

r	radius of cable (m)	p	vapour pressure (Pa)

$\tilde{r}$	effective cable radius (m)	$\kappa_i$	correction factor (number i) (-)

L	length of cable (m)	W	liquid water content (-)

$\nu$	wind velocity (local) $(\mathrm{m} / \mathrm{s})$	E	collection efficiency (-)

$v_0$	wind velocity (incoming) $(\mathrm{m} / \mathrm{s})$	Pr	Prandtl number (-)

R	resistance per meter cable (ohm/m)	Re	Reynolds number (-)

P	heating effect(W)	$θ$	angle between wind flow and cable (degrees)

$W_m$	heating effect per meter $(\mathrm{W} / \mathrm{m})$	$\sigma$	Stefan Boltzmann's constant $\left(\mathrm{W} / \mathrm{m}^{2} \mathrm{~K}^{4}\right)$

Q	heating effect per volume $\left(\mathrm{W} / \mathrm{m}^{3}\right)$	$\varepsilon_{\text{u}}$	emissivity (-)

I	applied current(A)	$k_eff$	resistive heating efficiency factor (-)


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Specifications	The range	Copper slag

Chemical requirements	Sulfur trioxide $(\mathrm{SO}_{3})$ (%)	Max, 4.0	0.72

Chloride (%)	Max, 0.1	0.09

MgO (%)	Max, 5	1-5

Loss on ignition (%)	Max, 10.0	0.3

$\mathrm{SiO}_2+\mathrm{Al}_2\mathrm{O}_3+\mathrm{Fe}_2\mathrm{O}_3$ (%)	Min, 70	76

Physical requirements	Moisture content (%)	Max, 3.0	0

Amount retained when wet-sieved on 45 μm sieve (%)	Max, 34	40

Strength activity index, at 7 days, percent of control (%)	Min, 75	75

Strength activity index, at 28 days, percent of control (%)	Min, 75	80


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Model Parameter	Symbol	Value	References

Rate of drinking LI V. cholerae	$\beta_L$	1.5/wk	a

Rate of drinking HI V. cholerae	$\beta_H$	Variable

Non-HI V. cholerae infectiousconcentration($IC_{50}$)	$\kappa_L$	$10^6$ cells/ml	[9]

HI V. cholerae infectiousconcentration($IC_{50}$)	$\kappa_H$	$\kappa_L$ ÷ 700	b

Natural human birth and death rate	b	$(30\ yr)^{-1}$	c

Rate of decay from hyper-to reducedinfectiousness	$\chi$	$(5\ h)^{-1}$	[7]

Rate of contribution to Hl V. choleraein aquatic environment	$\xi$	10cells/ml-day	[9]

Net death rate of non-Hl vibrios in theenvironment	$\delta_L$	$(30\ d)^{-1}$	[2,14]

Rate of recovery from cholera	$\gamma$	$(5\ d)^{-1}$	[14,15]


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Reference	Population studied	$BA^{-1}$ from marriagesof first cousinscompared withunrelated couples

racialclassifica-tion	location

Neel $(1963)^a$	Negroes	Brazil	6.9

Neel (1963)	Negroes	Brazil	7.6

Freire-Maia (1963)	Negroes	Brazil	9

Freire-Maia and Azevedo (1971)	Negroes	Brazil	3

Neel (1963)	Africans	Tanganyika	-1.0

Neel (1963)	Japanese	Hiroshima	6.3

Neel (1963)	Japanese	Nagasaki	1.7

Neel (1963)	Caucasians	Brazil	-0.0

Neel (1963)	Caucasians	Brazil	-0.6

Freire-Maia (1963)	Caucasians	Brazil	1.0

Freire-Maia and Azevedo (1971)	Caucasians	Brazil	3

Neel (1963)	Caucasians	U.S.A.	7.2

Neel (1963)	Caucasians	Chicago, U.S.A.	6.6

Neel (1963)	Caucasians	Mubihar, France	20.2

Neel (1963)	Caucasians	Loir-et-Cher, France	13.1

Neel (1963)	Caucasians	N. Sweden	-3.0

Neel (1963)	Japanese	Shizuoka rural	-0.1

Neel (1963)	Japanese	Shizuoka suburban	6.3

Neel (1963)	Japanese	Shizuoka urban	7.0

Kumar et al. (1967)	Indians	Kerala	20

Roberts $(1969)^b$	Indians	Kerala	14.8


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

用地分类	用地代码	类别名称	内 容

 城市建设用地	H	R	居住用地	住宅和相应服务设施的用地

A	公共管理与公共服务用地	行政、文化、教育、体育、卫生等机构和设施用地,不包括居住用地中的服务设施用地

B	商业服务设施用地	商业、商务、娱乐康体等设施用地，不包括居住用地中的服务设施用地

M	工业用地	工矿企业的生产车间、库房及其附属设施用地,包括专用铁路、码头和附属道路、停车场的用地,不包括露天矿用地

W	物流仓储用地	物资储备、中转、配送等用地,包括附属道路、停车场以及货运公司车队的站场等用地

S	道路与交通设施用地	城市道路、交通设施等用地，不包括居住用地、工业用地等内部的道路、停车场等

U	公用设施用地	供应、环境、安全等设施用地

G	绿地与广场用地	公园绿地、防护绿地、广场等公共开放空间用地

非建设用地	E	非建设用地	水域、农林用地及其他非建设用地


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

序	昔	游 戏 名 称	计票	序	昔	游 戏 名 称	计票

11	1	最终幻想 8 (PS、SQUARE、RPG)	29743	21	21	GT 赛车 2 (PS、SCEI、RAC)	3195

2	2	生物危机 3·最终逃脱（PS、CAPCOM、AVG）	24290	22	20	R4·山脊赛车类型4 (PS、NAMCO、RAC)	3117

3	3	寄生前夜 2 (PS、SQUARE、AVG+RPG)	16326	23	23	合金弹头X (ARC、SNK、STG)	3071

4	4	世界足球·实况胜利十一人4(PS、KONAMI、SPG)	13794	24	26	大航海时代4 (PS、KOEI、SLG)	2665

5	5	'99格斗之王·千年之战 (ARC、SNK、FTG)	12142	25	22	‘98格斗之王·梦战斗未结束（PS,SNK,FTG)	2646

6	6	生物危机 2(PS、CAPCOM、AVG)	11652	26	25	恐龙危机 （PS、CAPCOM、AVG）	2327

7	7	'97格斗之王 (ARC、SNK、FTG)	8637	27	27	仙剑奇侠传 （SS、SOFTSTAR、RPG）	2267

8	8	合金装备·索利德 (PS、KONAMI、ACT)	7498	28	33	北欧战神传 (PS、ENIX、RPG)	2076

9	9	最终幻想 7 (PS、SQUARE、RPG)	7144	29	30	彩之爱歌 （PS、KONAMI、AVG）	1974

10	11	龙骑士传说 (PS、SCEI、RPG)	6581	30	30	格兰蒂亚 (SS、GAME ARTS、RPG)	1943

11	10	穿越时空 (PS、SQUARE、RPG)	6538	31	31	宿命传说 (PS、NAMCO、RPG)	1767

12	13	口袋妖怪·金银(GB、NINTENDO、RPG)	6328	32	32 32	'97格斗之王 (SS、SNK、FTG)	1754

13	12	合金弹头 2 (ARC、SNK、STG)	5582	33	33	寂静岭 (PS、KONAMI、AVG)	1621

14 15	15	'98格斗之王·梦战斗未结束 (ARC、SNK、FTG)	4943	34	34	吞食天地2·赤壁之战 （ARC、CAPCOM、ACT)	1609

15 14	14	寄生前夜 (PS、SQUARE、RPG)	4865	35	35	侍魂·天草降临（ARC、SNK、FTG）	1454

16	17	铁拳 3 (PS、NAMCO、3D-FTG)	3790	36	新	放浪冒险谭 (PS、SQUARE、AVG + RPG)	1416

17	16	圣剑传说·玛娜传奇（PS、SQUARE、A·RPG）	3712	37	37	生物危机 (PS、CAPCOM、AVG)	1410

18	18	樱大战 2·望君珍重(SS、SEGA、AVG + SLG)	3609	38	36	铁拳 3 (ARC、NAMCO、3D FTG)	1354

19	19	'97格斗之王 (PS、SNK、FTG)	3316	39	38	月华的剑士 2 (MVS、SNK、FTG)	1329

20	24	'99格斗之王·千年之战 (PS、SNK、FTG)	3272	40	40	打击者 1945·2 (ARC、彩京、STG)	1316


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Glacier	Approximateelevationm a.s.l.	Periodof study	Accumulationratekg $m^{-2}~{year}^{-1}$	Ablationratekg $m^{-2}~{year}^{-1}$	 Reference

Barnes Ice Cap	450	1974-76		2 070	Ommanney (1977)

Devon ice cap	sea-level0-1 300	1961-761961-76		1 380	R. M. Koerner, on file

Melville Island		1963-75	230	350	Personal communicationfrom W. S. B. Paterson

Leffert	0- 500			900+	Personal communicationfrom G. Holdsworth

White Glacier	sea-level150- 850	1960-621960-62	150	2 9401 000	Müller (1963)Arnold (1965)

Meighen Ice Cap	50- 250	1959-76	200	300 	Personal communicationfrom W. S. B. Paterson

St Patrick Bay	c. $75^{\circ}-85^{\circ}$	1974-76	160	180 	Hattersley-Smith and Serson(1970)

Gilman Glacier	400-1 100	1956-59	70	510+ 	Hattersley-Smith and others(1960)

Ward Hunt Ice Rise	sea-level	1959-76*	130	250	Hattersley-Smith and Serson(1970); Ommanney(1977)

Per Ardua Glacier	450-1 150	1967-68		1 160	Ommanney (1977)

Decade Glacier	450-1 050	1965-70	210	680	Ommanney (1977)

Coburg Island	c. 50- 500	1974-75		1 100	Personal communicationfrom F. Müller


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Autoceja nosaukums	Satiksme ierobezota posma	erobezojuma veids	Datums, no kura ierobežota satiksme

No km	Lidz km

P23 Valka - Vireši	34.482	41.125	10 t	29.03.2018.

P34 Sinole -Zeltini -Silakrogs	21.120	40.540	10 t	atcelts

P39 Alüksne - Ape - Igaunijasrobeža	24.043	26.176	10 t/c.z.Nr.306	lerobezojumi speka visugadu

P41 Alüksne - Liepna	2.393	33.018	10 t	28.03.2018.

P42 Vilaka -Zaiceva -Krievijasrobeža	16.122	23.990	10 t	28.03.2018.

P42 Vilaka -Zaiceva -Krievijasrobeža	24.000	39.000	10 t	29.03.2018.

P42 Vilaka -Zaiceva -Krievijasrobeža	39.000	47.539	10 t	29.03.2018.

P44 Ilzene - Lizespasts	0.000	21.783	10 t	23.03.2018.

V368 Zvārtava - Vireši	0.000	1.464	10 t	19.03.2018.

V368 Zvārtava - Vireši	2.500	11.107	10 t	19.03.2018.

V371 Vireši - Dūre - Lejasciems	0.000	21.490	10 t	29.03.2018.

V372 Gaujiena - Lejaskrogs	0.000	8.129	10 t	19.03.2018.

V373 Gaujiena - Verasskola	0.000	2.350	10 t	lerobezojumi speka visugadu

V373 Gaujiena - Verasskola	4.100	5.052	10 t	19.03.2018.

V374 Mežslokas - Čonkas - Dūre	0.000	5.394	10 t	23.03.2018.

V375 Čonkas - Ilzenes muiža	0.000	4.308	10 t	23.03.2018.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Operating Parameters

Steam cycle pump isentropic efficiency	85%

Refrigerant turbine isentropic efficiency	80%

ORC pump isentropic efficiency (Ejector)	85%

Nozzle efficiency	90%

Mixing chamber efficiency	85%

ORC turbine isentropic efficiency	80%

ORC pump isentropic efficiency	85%

Compressor pressure ratio	12 (fixed)

Turbine inlet temperature	1000-1200 (°C)

Condenser pressure	0.06 (bar)

Pinch point temperature	30 (K)

Approach temperature	15 (℃)

Steam turbine inlet pressure	30 - 70 (bar)

Working fluid of ORC	R-113

ORC turbine inlet pressure	1.5-3.5 (MPa)

ORC turbine outlet pressure	0.05 (MPa)


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Category	Angiogenesis	Arteriogenesis	MR Technique

Morphology	Spatially heterogeneous, irregular diameter, arteriesand veins not differentiable, highly branched	Tortuous, corkscrewlike,dilated	Contrast-enhanced MR angiography, vessel size imaging

Function

Blood perfusion	Increased	Increased	Dynamic contrast-enhanced MR imaging, myocardialperfusion imaging

Blood flow	Increased, alternating direction	Increased, unidirectional,nonlaminar	Dynamic contrast-enhanced MR imaging with small-molecule contrast agent, myocardial perfusion imaging

Blood volume	Increased	Increased	Dynamic contrast-enhanced MR imaging withmacromolecular contrast agent, vessel size imaging

Permeability	Increased	Increased in early stage only	Dynamic contrast-enhanced MR imaging


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	2. 掌握油画棒材料并表现油画棒儿童画。

教学方法	讲授法、讨论法、案例分析法、任务驱动法等

任务成果	1.掌握油画棒表现儿童画的方法与技巧。2.呈现油画棒儿童画创作的相关作业图片。

模块三: 儿童绘本创作

任务 1: 儿童绘本场景表现	学时: 6

教学目标	素质目标	知识目标	能力目标

1.用心观察生活,丰富视觉、触觉和审美经验。2.有在绘画中自由表现的意识。3.有丰富的想象力与一定的创造表现力。	1.了解儿童绘本在儿童心智发展阶段的的意义与作用。2.了解儿童绘本的表现方法。3.了解儿童绘本的指导与评价方法。	1.掌握儿童绘本场景表现的方法。2.能选择合适的绘画材料表现的绘本场景。3.掌握儿童绘本的指导与评价的方法。

主要任务	1. 掌握儿童绘本场景表现的方法。2. 掌握儿童绘本指导与评价的方法。

教学方法	讲授法、讨论法、案例分析法、任务驱动法等

任务成果	1. 掌握儿童画中绘本场景的表现方法与技巧。2. 呈现单幅的绘本创作作品两幅。

任务 2: 儿童绘本故事表现	学时：6

教学目标	素质目标	知识目标	能力目标

1.用心观察生活, 丰富视觉、触觉和审美经验。2.有在绘画中自由表现的意识。3.有丰富的想象力与一定的创造力。	1.了解儿童绘本故事在儿童心智发展阶段的意义与作用。2.了解儿童绘本故事的表现方法。3.了解儿童绘本故事的指导与评价方法。	1.掌握儿童绘本故事绘画风格统一，内容表达完整的方法。2.能选择合适的绘画材料表现的绘本故事。3.掌握儿童绘本故事的指导与评价的方法。

主要任务	1. 掌握儿童绘本故事绘画风格统一，内容表达完整的方法。2. 掌握儿童绘本故事指导与评价的方法。

教学方法	讲授法、讨论法、案例分析法、任务驱动法等

任务成果	1. 掌握儿童画中绘本故事的表现方法与技巧。2. 呈现完整绘本故事创作作品两组 (四幅或八幅一组)。

模块四: 传统剪纸、现代刻纸创作

任务 1: 传统剪纸创作	学时: 4

教学目标	素质目标	知识目标	能力目标

1.唤起学生对传统民间美术的	1.了解、认识民间剪纸艺	1.掌握传统剪纸的造型


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Label	The cause of delay	Values

A	Value of works	Rational number (PLN)

B	Length of the section built	Rational number (km)

C	Planned duration of the project	Integer number (days)

E	Project scope	Binary: design and build=1; build=0

F	Project type	Binary: build=1; modernize, etc.=0

G	The total, average number of employees employed by contractor**	Integer number (person)

H	Half of the year of works commencement	Binary: first half=0; second half=1

I	The trend of the unemployment rate in Poland*	Binary: decreasing=0; increasing=1

J	The trend of price index in Polish construction industry*	Binary: decreasing=0; increasing=1

K	The trend of total sales in Polish construction industry*	Binary: decreasing=0; increasing=1

L	Number of partners in consortium (acting as contractor)	Integer number

M	Summarized yearly total sales of consortium partners**	Rational number (PLN)


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Growth parameter	Effect	Mean leafdamage	Proportion ofdamaged leaves

Stem length	Burial	0.62	0.28

Damage	0.82	4.05*

Interaction	2.71	1.02

Branch length	Burial	0.40	0.098

Damage	0.82	1.03

Interaction	0.16	0.024

Number of leaves	Burial	0.26	0.86

Damage	1.04	2.77

Interaction	2.86	6.26*


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Personality type	Beforetreatment	After 12weeks	Diff.	P

Schizoid	66	54	-12	$.00^{*}$

Avoidant	79	59	-20	$.00^{*}$

Dependent	79	72	-7	.22

Histrionic	45	51	+6	.08

Narcissistic	35	51	+16	$.00^{*}$

Antisocial	37	46	+9	.04

Compulsive	50	63	+ 13	$.00^{*}$

Passive aggressive	81	49	-32	$.00^{*}$

Schizotypal	61	54	-7	.08

Borderline	82	61	-21	$.00^{*}$

Paranoid	48	54	+6	.02


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

الدرجةالكلية	درجات المقرر	مدة امتحاننهاية الفصل(ساعة)	اسم المقرر	كود المقرر

نهايةالفصل	أعمالالسنة	نصفالفصل

100	50	30	20	2	مقدمة في هندسة القوي الكهربائية	EE 242

100	50	30	20	2	نبائط ودوائر الكترونية	EEE 214

100	50	30	20	2	تحليل عددي وامثال	EEC 224

100	50	30	20	2	كيمياء حيوية	AMD 222

100	50	30	20	2	تشريح وفسيولوجي (2)	AMD 223

100	50	30	20	2	 مقرر اختياري (2)ريادة أعمال - محاسبة- تكاليف ودراسة )(جدوى	Elective


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Income level	Availability

Readily	Not	Occasionally	Total

High	19	21	6	46

Medium	47	5	5	57

Low	46	0	6	52

Total	112	26	17	155


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Sector	Constrainedgroup	Encouragedgroup

2 Coal Mining and Dressing	40.95

4 Metal Ore Mining	11.33

5 Non-ferrous Mineral Mining		14.58

6 Manufacture of Food Productsand Tobacco Processing		1877.11

7 Textile		855.03

8 Wearing Apparel, Leather,Furs and Related Products		1105.52

9 Sawmills and Furniture		408.75

10 Paper and Paper Products, Printingand Reproduction		264.02

11 Petroleum Processing, Cokingand Nuclear Fuel Processing	141.12

13 Nonmetal Mineral Products	179.71

16 Common and Special Equipment		1875.35

17 Transportation Equipment		1454.04

22 Waste resources and MaterialsRecycling and Processing		3.17

24 Gas Production and Supply	32.72

25 Water Production andSupply	32.21

27 Transport and Warehousing	807.57

Ratio of final demand in GDP	$\omega_1$ = 0.0396	$\omega_2$ = 0.2500


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Variable	Zero	One

$X_1$ - board function	Mother board	Power Supply

$X_2$ - component	Surface Mount	Through-Hole

$X_3$ - redesign?	False	True

$X_4$ - in-circuit test?	False	True


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

化學藥品四百種	曲頸甑各科十三只

特號唱機一架 	形管十只

特號照像機一架	木塞五百

德國水平儀一架	鋅简二十只


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Score	0	1	2	3

Epidermal basal cell and parabasal cell hyperplasia: expressed as fold increase in thicknessof epidermal cell layer	Normal	2 fold	3 fold	≥3 fold

Flattening of secondary epidermal lamellae (SEL): expressed as % of length of unaffectedSEL remaining	100%	66-99%	50-66%	<50%

Mitotic figures: per high power field at 200x magnification in the most affected area	0	1	2	≥3

Inflammatory cell count surrounding the probe	0	1-50	50-100	>100

Fibroplasia: thickness of the fibrous tissue around the probe compared to the width ofunaffected primary epidermal lamellae (PEL)	0	<1 PEL width	1 PEL width	>1 PEL width

Collagen bundle formation	Absent	Mild	Moderate	Marked

Cellular debris	Absent	Mild	Moderate	Marked

Endotheliai reactivity: the number of vessels with reactive endothelium around the probe	0	1-20	21-50	>50

Lamellar necrosis: the number of necrotic PEL	0	1	2	≥3


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Primary Study	Category(Figure 8)	MT Type	MT Lang.	 OCLsupported	 DSLproposed	Oracle

Jiang et al. [64]	C-MT	M2M	ATL	*		C-M

Troya et al. [123, 124]	C-MT	M2M	ATL	*		C-A

He et al. [55]	C-MT	M2M	ATL	*		C-M

Du et al. [34]	C-MT	M2M	ATL	*		C-M

Cariou et al. [25]	C-OCL	M2M	Any	*		C-M

Braga et al. $[15,16]$	C-OCL	M2M	Any	*		C-M

Gogolla and Vallecillo (et al.) [44, 127]	 C-OCL	M2M	Any	*		C-M

Cariou et atl. [24, 72]	C-OCL	M2M	ATL	*		C-SA

Guerra et al. [48, 49, 52]	C-OCL	M2M	Any	*		C-A

Nguyen et al. [87, 88]	C-OCL	M2M	RTL	*		C-A

Selim et al. [105]	C-OCL	M2M	ATL	*		C-A

Cheng and Tisi [26, 27]	C-OCL	M2M	ATL	*		C-A

Sánchez-Cuadrado et al. [116]	C-OCL	M2M	ATL	*		C-A

Wimmer and Burgueño [134]	C-OCL	M2T/T2M	Any	*		C-M

Guerra et al.[51]	C-DSL	M2M	QVT-R	*	PAMOMO	C-M

Ciancone et al. [28, 29]	C-DSL	M2M	QVTO		MANTra	C-M

Rodriguez-Echeverria et al. [92]	C-DSL	M2M	ATL		MoTe	C-M

Anastasakis et al. [4]	C-DSL	M2M	Alloy	*	Alloy	C-M

Narayan and Karsai [85]	C-DSL	M2M	GReAT		GReAT	C-M

Tiso et al. [119]	C-DSL	M2T	Acceleo	*	Unnamed	C-M

Bonfanti et al. [14]	C-DSL	M2T	Xtext		AsmetaL	C-M

Guerra et al. [50]	C-EMT	M2M	ETL	*	transML	C-M

Mazanek et al. [78]	MC-E	M2M	Any			E-M

Wieber et al. [131]	MC-E	M2M	Any			E-A

Lin et al. [76]	MC-E	M2M	ECL			E-M

Tiso et al. [117]	MC-E	M2T	Acceleo			E-M

Stürmer et al. [113]	MC-S	M2T	TargetLink			E-A

Finot et al. [38, 81]	MC-S	M2M	Any			E-M

Kolovos [71]	MC-S	M2M			ECL	E-M

Kessentini et al. [68, 69]	BE/TB	M2M	Kermeta			E-A

Matragkas et al. [77]	BE/TB	M2M	ETL			Tr-A

Jörges and Steffen [66]	BE/TB	M2T	CG			Tr-A


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Paper.	Author(s)

83-034	Degani and Schiff

83-224	Sahu,Nietubicz, and Steger

83-226	Hsieh

83-235	Chyu and Ono

83-237	Nietubicz,Sturek, and Heavey

83-462	Deiwert

82-035	Chyu and Kuwahara

82-101	Nietubicz

82-290	Rizk,Chaussee,and McRae

82-1341	Sturek, Guidos, and Nietubicz

82-1358	Sahu,Nietubicz,and Steger

81-050	Chaussee,Patterson,Kutler,Pulliam, and Stegr

81-282	Davy, Green, and Lombard

81-1208	Srinivasan, Chyu, and Steger

81-1261	Rizk, Chaussee, and McRae

81-1262	Nietubicz

81-1900	Sturek and Mylin

80-063	Kutler,Pedelty, and Pulliam

80-066	Schiff and Sturek

80-067	Chaussee and Pulliam

80-1586	Sturek and Schiff

79-010	Nietubicz,Pulliam, and Stegr

79-130	Schiff and Steger

79-134	Steger and Bailey

78-010	Pulliam and Steger

78-213	Kutler,Chakravarthy, and Lombard

77-665	Steger


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Properties	Virtual Input

Virgin (as received)

Thermal conductivity constant, $k_{\mathrm{v}, \mathrm{A}}(\mathrm{W} / \mathrm{m} / \mathrm{K})$	0.312

Thermal conductivity constant, $k_{\mathrm{v}, B}\left(\mathrm{~W} / \mathrm{m} / \mathrm{K}^{2}\right)$	$ 4.405 \times 10^{-5} $

Density, $\rho_{v}\left(\mathrm{~kg} / \mathrm{m}^{3}\right)$	1683

Heat capacity constant, $C_{p, v, A}(\mathrm{~J} / \mathrm{kg} / \mathrm{K})$	1080

$ \text{Heat capacity constant,} C_{p, v, B}\left(\mathrm{~J} /\mathrm{kg} /\mathrm{K}^{2}\right) $	0.0452

Emissivity, $\varepsilon_{\mathrm{v}}$	0.94

Absorption coefficient, $\kappa_{\mathrm{v}}\left(\mathrm{m}^{-1}\right)$	10 000

Char

Thermal conductivity constant, $k_{c, A}(\mathrm{~W} / \mathrm{m} / \mathrm{K})$	0.0949

Thermal conductivity constant, $k_{c, B}\left(\mathrm{~W} / \mathrm{m} / \mathrm{K}^{2}\right)$	$ 2.83\times 10^{-4} $

Density, $\rho_{c}\left(\mathrm{~kg} / \mathrm{m}^{3}\right)$	1235

$ \text{Heat capacity constant,}~ C_{p, c, A}(J / k g / K)$	1041

Heat capacity constant, $C_{p, c, B}\left(\mathrm{~J} / \mathrm{kg} / \mathrm{K}^{2}\right)$	0.259

Emissivity, $\varepsilon_{c}$	0.94

Pyrolysis reactions

Reaction #1

Preexponential factor, $A_{pyro}\left(s^{-1}\right)$ 	$ 2.34\times 10^{12} $

Activation energy, $E_{\text {pyro }}(\mathrm{J} / \mathrm{Mol})$	$ 1.81\times 10^{5} $

Heat of reaction, $\Delta H_{\text {pyro }}(\mathrm{J} / \mathrm{kg})$	$ 1.0\times 10^{5} $

Reaction order, $\mathrm{n}_{\text {pyro }}$	1.0

Charring fraction, $\xi$	0.75

Reaction # 2

Preexponential factor, $A_{pyro}\left(s^{-1}\right)$ 	$ 7.5 \times 10^{13} $

Activation energy, $E_{\text {pyro }}(\mathrm{J} / \mathrm{Mol})$	$ 1.93\times 10^{5} $

Heat of reaction, $\Delta H_{\text {pyro }}(\mathrm{J} / \mathrm{kg})$	$ 2.0\times 10^{5} $

Reaction order, $\eta_{\text {pyro }}$	1.5

 Charring fraction, $\xi$	0.5

Reaction #3

Preexponential factor, $A_{\text {pyro }}\left(\mathrm{s}^{-1}\right)$	$ 9.2\times 10^{12} $

Activation energy, $E_{\text {pyro }}(\mathrm{J} / \mathrm{Mol})$	$ 1.75 \times 10^{5} $

$ \text{Heat of reaction,}\Delta H_{\text{pyro}}(\mathrm{J} /\mathrm{kg}) $	$ 4.0 \times 10^{5} $

Reaction order, $n_{\text {pyro }}$	3.0

Charring fraction, $\xi$	0.3


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

peptide	MW	% of helicalstructure(AGADIR)	 % of helicalstructure (frommolar ellipticityat 222 $nm)^b$	% of helical structurein aqueous solution(from TFE-titrations)$\left(\Delta G^{\mathrm{w}}, \mathrm{kcal} ~\mathrm{mol}{ }^{-1}\right)^c$	$\begin{gathered}{[\mathrm{TFE}]_{50 \%}} \\ (\mathrm{M})\end{gathered}$	$\begin{gathered}D \times 10^6\left(\mathrm{~cm}^2 \mathrm{~s}^{-1}\right) \\ \left(R_{\mathrm{h}}, \mathrm{A}\right)^d\end{gathered}$	$\begin{gathered}T_2 \text {-relaxation } \\ \text { time }(\mathrm{ms}) \\ (\text { molecular mass }, \mathrm{kDa})\end{gathered}$	$\begin{gathered}K_{\mathrm{SD}} \\ (\mu \mathrm{M})^e\end{gathered}$

VKNWMTETLLRQ(P-1)	1517.80	13.90	8.4	12.1±0.8 (1.2± 0.6)	17±3	2.2± 0.1 (8.4)	102.5 (3.9)	3.8±3.5

VKNWMTEYLLVQ(P-2)	1522.82	24.80	5.7	0.6±0.2${}^f$(4±1)	23±1	1.5±0.1 (12.2)	127.4 (3.1)	36±31

VKNWMTEYLLRQ1S(P-3)	1579.87	52.88	8.2	6.1±0.5 (1.6± 0.5)	15±1	1.98 ±0.02 (9.3)	122.5 (3.3)	5.2±4.1

VKNWMTETLLVQ	1460.75	4.59	6.9	1.4±0.8 (2.5±0.3)	20.4±0.8	1.93 ±0.02 (9.5)	122.5 (3.3)	3.6±0.7


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Parameter	Designation	Value	Units

Core width	$W_e$	0.050	[m]

Pole pitch	$\tau$	0.084	[m]

No. of primarypoles	P	4

No. of primary coils	q	2

No. of primary coilfractions	$\beta$	1

Secondary conduc-tor (copper) thick-ness	$T_s$	0.004	[m]

Secondary conduc-tor width	$W_s$	0.090	[m]

Mechanical gaplength	g	0.002	[m]

Rated frequency	f	20	[Hz]


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Basal length	127·0	123·0

Interorbital breadth	32·0	26·0

Width across postorbital processes	38·?	36·7

Intertemporal breadth	30·8	27·0

Intertemporal length	25·0	21·0

Mastoid breadth	-	-

Zygomatic width	101·?	93·?

Palatal length	65·4	65·3


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

国家	起讫点	线路总长(km)	车站数量	平均站距(km)	运输模式

法国	巴黎一里昂	426	4	142	高速客运

巴黎-南特	281	3	140	高速客运

里昂—瓦朗斯	121	2	121	高速客运

瓦朗斯一马赛	303	3	152	高速客运

巴黎一里尔	333	3	167	高速客运

德国	曼海姆一斯图加特	105	2	105	客货混用

汉诺威一威尔茨堡	327	5	82	客货混用

法兰克福一科隆	219	5	55	客货混用

汉诺威一柏林	264	5	66	客货混用

西班牙	西班牙—塞维利亚	471	7	78	客货混用

韩国	汉城一釜山	409	6	82	高速混运

中国	北京一上海	1 318	24	57	高速客运

武汉一广州	1 068	18	63	高速客运

海口一三亚	308	15	22	城际客运

福州一厦门	275	13	23	客货混用


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

青 霉 素	青霉素 G 钾	注 射 用	粉 剂

链 霉 素	硫酸双氢链霉素	注 射 用	粉 剂

金 霉 素	盐酸金霉素	口 服	粉 剂

四 环 素		口 服	粉 剂

土 霉 素		口 服	粉 剂

氯 霉 素		口 服	粉 剂

合 霉 素	混旋氯霉素	口 服	粉 剂

新 霉 素	硫酸新霉素	口 服	粉 剂

卡 那 霉 素	硫酸卡那霉素	注 射 用	粉 剂

红 霉 素	乳糖酸红霉素	注 射 用	粉 剂

多 粘 菌 素		注 射 用	粉 剂

杆 菌 肽		注 射 用	粉 剂

S T	ST 钠盐		粉 剂

S D	SD 钠盐		粉 剂

呋 喃 妥 因			粉 剂

呋 喃 西 林			粉 剂

痢 特 灵			粉 剂

庆 大 霉 素			粉 剂


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Variables	Description of Variables andIndex Construction	Mean	 Std.Deviation

Approve armedoverthrow	To what degree would you approve or disapprove [on a 10-point scale] thatpeople participate in a group that wants to overthrow an elected governmentusing violent means? Answer options range in 10 even increments from “ notat all = 0 to completely = 100. ”	17.10	27.45

Justify coup	This is an index calculated as the mean of respondent answers to the followingitems: “Some people say that under certain circumstances the military wouldbe justified in taking power via a coup d’etat [golpe de estado in thequestionnaire]. In your opinion, would you justify a coup by the military: 1.In the face of very high unemployment? In the face of a lot of social protest?In the face of high crime? In the face of high inflation, with excessive priceincreases? In the face of a lot of corruption? Do you think that some timethere could be sufficient reason for a coup, or do you think that there couldnever be sufficient reason for that?” Any answer approving of a coup isscored 100, any answer disapproving is scored zero. Range = 0-100	41.64 	39.65

Approve confrontationalpolitical tactics	This is an index calculated as the mean of respondent answers to the followingitems: “To what degree do you approve or disapprove: Of people taking overfactories, offices, and other buildings? Of people invading private propertyor land? Of people participating in a blockage of streets and highways?”Answer options range in 10 even increments from “not at all” = 0 to“completely” = 100. Range = 0–100. ”	19.28	22.29


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Ground colour	Over colour

Character state	Hue-Chroma	Character state	Hue-Chroma

1 very light green	5Y-7/8	1 non-visible	-

2 light yellow	2,5Y-7/8	2 orange	10YR-6/8

3 green	 $5GY-6/7$ 	3 brown and green	10YR-5/8 and 5Y-5/6

4 orange	 $10YR-6/8$ 	4 red	5R-4/8

5 olive	5Y-5/6	5 dark olive	5Y-5/6

6 red-brown	7,5YR-5/8	6 red and green	$ 10\mathrm{R}-4 / 8$ and $5\mathrm{Y}-5 / 6 $

7 orange-olive	 $10 \mathrm{YR}-6/8$ 	7 brown	10YR-5/8

8 orange-red-brown	10YR-5/6	8 red and brown	$5 \mathrm{R}-4 / 8$ and $10 \mathrm{YR}-5 / 8$

9 olive-red-brown	2,5Y-5/6


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

介质：空气	阀门口径	阀门口径

公称直径 (mm)	DN200~DN400	DN500~DN1000

试验压力 (MPa)	0.1	0.1

工作压力 (MPa)	≤0.05	≤0.05

电动装置	型号	DDI-20	DDI-10

启闭时间 (s)	1.2	1.2

电机功率 (kW)	0.37	0.55

手动启闭时间 (s)	5~6

气密泄漏量 (L/min)	正面	≤0.10	≤0.033

反面	≤0.10	≤0.033


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Compoundno.	MDL no. (MCMC 0000)	Name	SARS-CoV $3CL^{pro}$model	$SARS-CoV 3CL^{pro}$crystal structure$	Clinical application

$DOCK^a$	$AutoDock^b$	$DOCK^a$	$AutoDock^b$

1	0101	Benzpiperylon	-30.99	0.08	-29.78	0.02	Connective tissue disorders

2	1593	Cinanserin	-37.06	0.36	-32.20	0.39	5-HT receptor antagonist

3	3048	Fentiazac	-35.09	0.50	-36.44	0.39	Antiinflammatory

4	3248	Feclobuzone	-35.52	0.39	-24.50	0.35	Antiinflammatory

5	3266	Ridiflone	-32.52	0.10	-25.51	0.0076	Anxiolytic

6	3406	Halofenate	-34.60	2.82	-29.84	0.38	Hypolipidemic

7	3612	Trifezolac	-31.98	0.16	-39.52	0.12	Analgesic

8	4719	Butoconazole	-33.72	0.43	-29.97	0.36	Antifungal

9	4945	Pirazolac	-37.45	0.12	-34.79	0.67	Antirheumatic

10	5501	Flavoneacetic acid	-36.06	6.46	-34.90	2.29	Antineoplastic


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

WARES	COST

from Helm	1400

Iron Armor	1400

Bronze Shield	1200

Headguard	300

Leather Breastplate	300

Pointy Hat	300

Silken Shirt	300

Bronze Helm	700

Bronze Armor	700

Leather Shield	600


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Population	 Observedaverageheterozygos-$\text{ity}\ (\hat{H})$	$ \begin{aligned} & \text { Estimate } \\ & \text { of } V(h) \\ & {[ \hat{V}(h)] } \end{aligned} $	$\text{Expectation of }\hat{\mathcal{V}}(h)\text{ under}$

Infiniteallele model	Stepwisemutationmodel	$ \begin{array}{l}\text { Infinite } \\ \text { allele } \\ \text { model } \\ (k=2)\end{array} $

North Indians	0.140	0.033	0.034	0.032	0.030

Punjabis	0.141	0.029	 0.035	0.033	0.030

Marathis	0.137	0.029	0.033	0.030	0.029

Gujaratis	0.143	0.031	0.036	0.034	0.031

Hindus (MP) 	0.152	0.032	0.037	0.035	0.033

South Indians	0.127	0.024	0.031 	0.028	0.027

Bengalis	0.134	0.028	0.032	0.029	0.029


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Wirbel	Körper	Bogen-stiel	Wirbelloch

sagitt.	frontal	sagitt.	frontal

IV. Hals-	2·00	1·75	1·77	1·52	1·65

III. Brust-	2·11	2·30	1·50	1·36	1·65

VII. 	2·60	2·35	1·73	1·52	1·78

III. Lenden-	2·75	2·88	·	1 36	1·57


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

19 x 8 年	凭证编号	摘 要	借 方	贷 方	借/贷	余 额

月	日

4	1		期初余额			借	21 000

	30		耗料	20 000

			生产工人工资	7 000

			职工福利费	980

			结转制造费用	8 140

			结转完工产品成本		40 000

	30		本期发生额及余额	36 120	40 000	借	17 120


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Your Home Service	Option B

$\underline{Cost}$	$25.99 per month	$45 per month

$\underline{Speed}$	Fast	Slow

$\underline{Reliability}$	Very reliable	Very reliable

$\underline{Telehealth}$	No	Yes

Select the option youprefer	I would stay with my home service	I prefer option B


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Solvent	DN	Solvent	DN	Solvent	DN

Acetic acid	20	Dichloroethane	(0)	N-Methylformamide	49

Acetic anhydride	10.5	Diacetyl	11	2-Methyltetrahydrofuran	18

Acetil chloride	0.7	Diethylamine	50	Nitrobenzene	4.4 (11)

Acetone	17	Diethylether	19.2	Nitromethane	2.7 (6)

Acetonitrile	14.1	N,N-dimethylformamide	26.6	1-Pentanol	25

Acetophenone	15	Dimethylsolfoxide	29/8	3-Pentanone	15

Acrilonitrile	11	1,4-Dioxane	14.8	Phenol	11

Amonia	59 (4)	Ethanol	32 (19.2)	Piperidine	40

Aniline	35	Ethyl acetate	17.1	Pyridine-N-Oxide	32

Anisole	9	Ethyl benzoate	15	2-Propanol	36

Benzaldehyde	16	Ethylamine	40	1-Propylamine	38

Benzene	0.1 (3)	Ethylbenzene	6	Propylene carbonate	15.1

Benzonitrile	11.9	Ethylene glycol	20	Propionitrile	16.1

Benzophenone	18	Ethylenediamine	(55)	Pyridine	33.1

Benzyl alcohol	23	Flurobenzene	3	Quinoline	32

Benzyl cyanide	15.1	Formamide	36	Styrene	5

Bromobenzene	3	Formic acid	19	Sulfuryl chloride	0.1

Butyronitrile	16.6	Furan	6	Tetrahydrofuran	20

1-Butanol	29	Glycerol	19	Thionyl chloride	0.4

2-Butanone	17.4	Heamethylphosphor triamide	38.8	Toluene	0.1 (4)

Carbon disulfide	2	n-Hexane	0	Triethyl phosphate	26

Carbon tetrachloride	0	Hydrazine	(44)	Triethylamine	(61)

Cyclohexane	0	Iodobenzene	4	Tri-i-butylamine	50

Chlorobenzene	(3.3)	Mesitylene	10	Trimethyl phosphate	23

Chloroform	4	Methanol	(19) (30)	Trimethylamine	64

Cumene	6	Methyl acetate	16.3	Water	(18.0)

Cyclohexanone	18	Methylamine	39	Xylene	5

Cyclopentanone	18	Methylene chloride	1


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Level	Spell	Area of Effect	Duration	Range	Type

1)	Mentalist Tongue *	1 target + self	C	100'	Fm

2)

3)	Mind Tongue I *	1 target + self	C	100'	Fm

4)

5)

6)	Mind Tongue II *	1 target + self	C	500'	Fm

7)

8)

9)	 Mind Speech I *	10'R	C	self	Fm

10)	Mind Tongue III *	1 target + self	C	1,000'	Fm

11)

12)	Mind Speech II *	100'R	C	self	Fm

13)

14)	Friend Speech I *	10'R	C	self	Fm

15)	 Mind Speech III *	300'R	C	self	Fm

16)	Waiting Tongue	10'R	varies	100'	Fm

17)

18)	 Mind Tongue IV *	1 target + self	C	1 mile	Fm

19)	Friend Speech II *	100'R	C	self	Fm

20)	Mind Speech True 	2,000'R	C	self	Fm

25)	Mind Tongue True *	1 target + self	C	1 mi/lvl	Fm

30)	Waiting Speech	varies	varies	self	Fm

50)	Far Mind Speech *	10'R	C	I mi/lvl	Fm


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

	Primary Care Provided in:

	 ZipCode A	 ZipCode B	 ZipCode C	 ZipCode D	Total

Patients living in zip code A	0	10	0	40	50

Patients living in zip code B	0	90	0	10	100

Patients living in zip code C	0	25	0	15	40

Patients living in zip code D	0	10	0	190	200

Total patients provided primarycare from all zip codes	0	135	0	255


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Firm	Number ofBrokers	Revenue($ bn)	Revenue perBroker	Client Assets($ bn)

Morgan Stanley	18,043	$12.6	$742,000	$1,700

Bank of America/Merrill Lynch	16,722	$11.6	$694,000	$1,480

Wells Fargo/Wachovia	15,200	$6.9	$454,000	$1,200

UBS (U.S. division)	6,783	$5.3	$782,000	$715


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Parameter index	Parameters

1	Chen Heat Transfer Coefficient

2	Critical Heat Flux Model

3	Minimum Film Boiling Temperature

4	Film Boiling Lookup Table

5	Single Phase Forced Convection to Vapor

6	Fission Product Decay

7	Discharge Coefficient for Subcooled Liquid

8	Discharge Coefficient for Two Phase

9	Flow Resistance in Safety Injection Pump

10	Moderator Feedback Reactivity

11	Fuel Temperature Feedback Reactivity

12	Scram Reactivity

13	Pellet Conduction

14	Interfacial Heat Transfer Coefficient for Flashing

15	Gap Conductance

16	Fluidic Device Resistance

17	Interfacial Friction for Bubbly Flow

18	Interfacial Friction for Slug Flow

19	Interfacial Friction for Annular Flow

20	Interfacial Friction for Inverted Slug Flow

21	Interfacial Friction between Vapor and Droplet


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Sizem × n	$N_{ave}$

Surrogate Methods	Agmon Methods

S2	S3	S4	A1	A2

6 × 3	61	2	8	375	54

8 × 4	375	101	59	376	409

10 × 5	394	362	383	*	*

12 × 6	376	376	378	392	*

*Nonconvergence after 500 iterations.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

工 程 内 容	1. 基层处理2. 铺贴防水卷材3. 撒绿头砂

定 额 编 号	6-45

 项 目	单位	单价(元)	聚氯乙烯防水卷材

苏 J9501-627-E

数 量	合 价

 定额直接费	元			-27.68

其中	人 工 费	元

材 料 费	元			-26.41

机 械 费	元			-1.27

人工	 综合工日	工目	22.0

材料	聚氯乙烯防水卷材	$\mathbf{m}^3$	15.00	12.914	193.71

SBS 卷材	$\mathbf{m}^2$	10.00	-24.747	-247.47

 高强 APP粘结剂 A 型	kg	10.78	9.464	102.02

 高强 APP基底处理剂	kg	5.28	-14.143	-74.68

机械	垂直运输费	元			-1.27

其他机械费	元

备 注	 本定额采用江苏省建筑防水工程概算定额(1999年定额)


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Teachers’ mediational behavior	Boys	Girls

KeyMath	PART	KeyMath	PART

Focusing	0.16	0.05	0.32*	-0.02

Expanding	0.03	0.09	0.51**	0.08

Encouraging	-0.11	0.41**	0.22	-0.08

Regulating behavior	-0.08	0.09	0.31*	0.24

Affecting	-0.02	0.08	-0.16	0.12


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

spot kick	罚点球

free kick	罚任意球

throw-in	掷界外球

ball handling	控制球

block tackle	正面抢截

body check	身体阻挡

bullt	球门前混战

fair charge	合理冲撞

chesting	胸部挡球

close-marking defence	盯人防守

close pass; short pass	短传

consecutive passes	连续传球

deceptive movement	假动作

diving header	鱼跃顶球

flying header	跳起顶球

dribbling	盘球

finger-tip save	(守门员)托救球

clean catching	(守门员)接高球

flank pass	边线传球

high lobbing pass	高吊传球

scissor pass	交叉传球

volley pass	凌空传球

triangular pass	三角传球

rolling pass; ground pass	滚地传球

slide tackle	铲球

clearance kick	解除危险的球

to shoot	射门

grazing shot	贴地射门

close-range shot	近射

long drive	远射

mishit	未射中

offside	越位

to pass the ball	传球

to take a pass	接球

spot pass	球传到位

to trap	脚底停球


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Decision Center	Not less than	Not more than	 Warning number(maximum presumption)

Football	12.000	15.000	14.000

Basketball	1.500	2.500	2.000

Handball	600	700	650

Roller-skate hockey	500	650	600

Other sections	900	1.100	1.000

TOTALS	5.500	19.950	18.250


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

No.	Operation	Description

1	child(x,i)	Find the ith child of node x

2	child_rank(x)	Report the number of left siblings of node x

3	degree(x)	Report the degree of node x

4	depth(x)	Report the depth of node x

5	level_anc(x,i)	Find the ancestor of node x that is i levels above node x

6	subtree_size(x)	Report the number of nodes in the subtree rooted at node x

7	height(x)	Report the height of the subtree rooted at x

8	deepest_node(x)	Find the deepest node in the subtree rooted at node x

9	LCA(x, y)	Find the lowest common ancestor of nodes x and y

10	lmost_leaf(x) /rmost_leaf(x)	Find the leftmost/rightmost leaf of the subtree rooted at node x

11	leaf_rank(x)	Report the number of leaves before node x inpre order

12	leaf_select(i)	Find the ith leaf from left to right

13	pre_rank(x)/post_select(x)	Report the number of nodes preceding node x in preorder/postorder

14	pre_select/post_select(i)	Find the ith node in preorder/postorder

15	level_lmost(i)/level_rmost(i)	Find the leftmost/rightmost node among all nodes atdepth i

16	level_succ(x)/level_pred(x)	Find the node immediately to the left/rightof node x among all nodes at depth i

17	access(i)	Report P[i]

18	find_open(i)/find_close(i)	Find The matching parenthesis of P[i]

19	enclose(i)	Find the closest enclosing matching parenthesis pair for P[i]

20	rank_open(i)/rank_close(i)	Report the number of opening/closing parentheses in P[1..i]

21	select_open(i)/select_close(i)	Find theith opening/closing parenthesis


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Classification accuracy

Groups	Method 1RF accuracy	Method 1CV accuracy	Method 2RF accuracy	Method 2CV accuracy

Alzheimer's, old, young	61.0%	42.9%	65.9%	58.5%

Alzheimer's, old	63.0%	59.3%	70.4%	37.0%

Alzheimer's, young	81.5%	74.1%	81.4%	63.0%

Old, young	82.1%	71.4%	92.9%	71.4%

Schizophrenic, normal	80%	75%	90%	70%


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Item	Model	Full-scale

Length between P.S (m), L	4.000	300.0

Breadth (m)	0.533	40.0

Draft (m)	0.187	14.0

Block coefficient	0.65

Propeller diameter $(\mathrm{m}), D$	0.120	9.0

Propeller pitch/D	1.003

Rudder height/D	0.7692

W. S. area incl. rudder $\left(\mathrm{m}^{2}\right)$	2.82306	15879.7

Form factor, $1+k$	1.13

Thrust deduction coeff. $1-t$	0.832

$C_\text{w}-F_n$ curve 0th coeff.	-0.009093

$C_\text{w}-F_n$ curve 1st coeff.	-.001567

$C_\text{w}-F_n$ curve 2nd coeff.	1.153

$C_\text{w}-F_n$ curve 3rd coeff.	-7.125

 $C_{w}-F_{n}$ curve 4th coeff.	12.36

 $K_{T}-J$ curve 0th coeff.	0.4915	0.4927

 $K_{T}-J$ curve 1st coeff.	-0.3762	-0.3762

 $K_{T}-J$ curve 2nd coeff.	-0.0621	-0.0621

 $K_{Q}-J$ curve 0th coeff.	0.07309	0.07212

$K_{Q}-J$ curve 1st coeff.	-0.04306	-0.04306

 $K_{O}-J$ curve 2nd coeff.	-0.01559	-0.01557

Wake coeff. ratio, $\varepsilon$	1.0

$\text{Prop. race factor, } \kappa$	0.6

Longitudinal projected area above water $\left(\mathrm{m}^{2}\right), ~A_{r}$	0.2750	1547

Wind force coeff. in head wind condition, $C_{Xh}$	-0.604


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Collaboration	Target	Final state	No. points	Refs.

EMC	Proton	Inclusive	10	[21]

SMC	Proton, deuteron	Inclusive	12,12	[22]

E-143	Proton, deuteron	Inclusive	82,82	[23]

E-155	Proton, deuteron	Inclusive	24, 24	[24]

Hermes	Proton, helium	Inclusive	9,9	[10]

E-142	Helium	Inclusive	8	[25]

E-154	Helium	Inclusive	17	[26]

SMC	Proton, deuteron	$h^+,~h^-$	24, 24	[6]

Hermes	Proton, helium	$h^+,~h^-$	18,18	[10]


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

$[\text{M-Mn(acac)}_3]$	Relative intensities of ion currents, normalizedto the peak of $Mn(acac)_3^{+\bullet}$ (see Table 1), T = 373K

	Synthesis conditions	$[\mathrm{Mn}(\mathrm{acac})]^{+\bullet}$	$\left[\mathrm{Mn}(\mathrm{acac})_{2}\right]^{+\bullet}$	$\left[\mathrm{Mn}(\mathrm{acac})_{3}\right]^{+\bullet}$	$ \left[\mathrm{Mn}(\text { acac })_{3}\right]^{+\bullet } $

${\mathrm{Al}{-}\mathrm{Mn}(\mathrm{acac})_{3}}$	In situ	-	-	-	1

$\mathrm{AlH}_{3}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	0.24	1.73	0.11	1

$\mathrm{Cr}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	-	-	-	1

$\mathrm{Cu}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	0.40	0.85		1

$\mathrm{Fe}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	5.54	12.89	2.71	1

$\mathrm{Ga}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	0.03	0.35	0.01	1

Mechanic activation	420.9	34923.6	957.7	1

$\mathrm{Hf}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	In situ	-	-	-	1

$\mathrm{In}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	-	-	-	1

Mechanic activation	0.19	1.38	0.12	1**

$\mathrm{pb}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	In situ	10.9	2.00		1

Mechanic activation	0.85	0.17		1**

$\mathrm{Zn}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	In situ	80.4	71.6		1

$\mathrm{Zr}{-}\mathrm{Mn}(\mathrm{acac})_{3}$	"	-	-	-	1


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Constellation	1	2	3	4	5

Valueperspective	Value facilitation	Value facilitation	Value facilitation	Value co-creation	Value co-creation

Servicebusinessstrategy	After-sales service provider	Development partner	Customer servicestrategy	Customer supportservices strategy	Developmentpartner strategy

Serviceoffering	Customer support services	Development serviceofferings	Customer serviceoffering	Customer supportservice offering	Developmentservices

Empiricalexamples ofchallengesrelated toconstellation	Employees' valueperspectiveManagerial challengesSales force resistanceGoals without strategiesContinuous serviceinnovationCustomer resistanceRole in the value networkFinding profitable businessmodels	Employees' valueperspectiveManagerial challengesSales force resistanceGoals without strategiesContinuous serviceinnovationCustomer resistanceRole in the value networkFinding profitable businessmodels	No challenges. Due toa unique productionprocess, they did notwant to increase theirservice orientation.	Overcame most ofthe challenges. Stillstruggles withcustomer resistance.	Overcame most ofthe challenges. Stillstruggles withcustomer resistance.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

 concn of ND-PVAsolution used in spin-coating（wt %）	ND fraction in the composite (vol %)	$n_{C}^{a}$	thickness of single layer in themultilayer film (nm)	 $peak^c$ (nm)	$\text{reflectance}^\mathrm{d}\ (\%)$

ND	PVA	ND-PVA	$PMMA^b$

1	4	8.4	1.58	45	121	518	27

1.91	3.35	17	1.63	49	118	532	58

3.5	3	30	1.71	44	123	554	76


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

1768-1860	$p>\chi^2$

Equation	Excluded	HP filter	Growth rates

Wheat price	Birth rate	0.2881	0.0837

Wheat price	Death rate	0.4233	0.4831

Birth rate	Wheat price	0.2358	0.3363

Birth rate	Death rate	0.6513	0.6408

Death rate	Wheat price	0.5717	0.3803

Death rate	Birth rate	0.1037	0.3245


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

e$\alpha$$\Delta e$	NB	NM	NS	ZE	PS	PM	PB

NB	VB	VB	VB	B	SB	S	ZE

NM	VB	VB	B	B	MB	S	VS

NS	VB	MB	B	VB	VS	S	VS

ZE	S	SB	MB	ZE	MB	SB	S

PS	VS	S	VS	VB	B	MB	VB

PM	VS	S	MB	B	B	VB	VB

PB	ZE	S	SB	B	B	VB	VB


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.

Residue	C1	C2	C3	C4	C5	C‘6	$\mathrm{NAc}\left(\mathrm{CH}_{3}, \mathrm{CO}\right)$

OPS of S. dysenteriae type 3

$\beta$-D-Glcp4RLac-(1 $\longrightarrow$	103.6	74.3	77.0	78.5	76.0	62.0

$\longrightarrow$ 6)-$\alpha$-D-Glc$p$-(1 $\longrightarrow$	100.3	73.1	73.8	69.9 	71.6	69.1 69.1

$ \longrightarrow 3)-\beta-D-\operatorname{Gal} p-(1\longrightarrow $	104.6	72.0	81.8	76.6	76.4	61.0

$\longrightarrow$ 6)- $\beta$-D-Galf-(1 $\longrightarrow$	110.3	82.4	78.2	84.4	70.9	72.5

$\longrightarrow$ 3)- $\beta$ - $D$-Glc $p$ NAc-(1 $\longrightarrow$	104.6	52.5	79.4	69.1	76.0	62.4	23.5, 175.7

RLac	179.8	77.8	19.7

$\mathrm{LPS}_{\mathrm{NH}_{4} \mathrm{OH}}$ from S. dysenteriae type 9

$\longrightarrow$ 2)- $\beta-D-\mathrm{Gal} p^{\mathrm{I}} 3,4 R \mathrm{Pyr}-(1 \longrightarrow$	102.3	79.7	80.3	76.4	74.4	62.2

$\longrightarrow 4)-\beta$-$D$-Man$p$-(1$\longrightarrow$	102.3	71.4	73.0	78.9	76.3	61.9

$\longrightarrow 4)-\alpha-D-\operatorname{Gal} p^{\mathrm{II}}-(1 \longrightarrow$	100.7	69.1	70.7	77.6	71.7	61.5

$\longrightarrow$ 3)- $\beta$ - $D$-Glc $p$ NAc-(1 $\longrightarrow$	101.1	55.7	81.0	72.1	77.0	62.0	23.8, 175.9

RPyr	177.0	108.7	24.4

$ \mathrm{OPS}_{\mathrm{AcOH}}$ from S. dysenteriae type 9

 $\longrightarrow 2)$ - $\beta$ - $D$ - $G$ - $p^{I}$ -(1 $\longrightarrow$	103.1	78.8	75.1	70.3	76.7	62.4

$\longrightarrow 4)-\beta-D-\operatorname{Man} p-(1 \longrightarrow$	102.2	71.3	73.1	79.2	76.4	62.2

 $\longrightarrow 4)-\alpha-D-\operatorname{Gal} p^{\mathrm{II}}-(1 \longrightarrow$	100.8	69.9	70.8	77.6	71.8	61.5

$\longrightarrow$ 3)- $alpha$ - $D$-Glc $p$ NAc-(1 $\longrightarrow$	102.5	56.1	81.3	72.2	76.9	62.2	23.9, 175.5

OPS of S. boydii type 4

$\alpha$-D-Glc $p \cdot(1 \longrightarrow$	99.1	73.0	74.4	71.0	73.3	61.8

$\longrightarrow$ 2,3)-α-L-RhapI-(1\longrightarrow	99.7	77.7	79.7	73.3	71.2	17.8

 $\longrightarrow$ 4)- $\beta$ -$ D-G l c p A-(1\longrightarrow$	105.1	75.0	75.5	80.5	76.2	175.1

$\longrightarrow$ 3)-\beta- $L$-Rhap $^{I I}-(1 \longrightarrow$	101.9	71.9	83.9	72.6	73.4	18.3

$\longrightarrow$ 4)- $\beta$ - $D$-Glc $p$ NAc-(1 $\longrightarrow$	104.6	57.5	75.3	79.0	75.9	62.6	23.8, 176.0


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
Output only the results without any other words and explanation.