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.

ROGUE 	MALICE

HONOR THYSELF	FIVE DAYS IN PARIS

AMAZING GRACE	LIGHTNING

BUNGALOW 2	WINGS

SISTERS	THE GIFT

 H.R.H	ACCIDENT

COMING OUT	VANISHED

THE HOUSE	MIXED BLESSINGS

TOXIC BACHELORS	JEWELS

MIRACLE	NO GREATER LOVE

IMPOSSIBLE	HEARTBEAT

ECHOES	MESSAGE FROM NAM

SECOND CHANCE	DADDY

RANSOM	STAR

SAFE HARBOUR	ZOYA

JOHNNY ANGEL	KALEIDOSCOPE

DATING GAME	FINE THINGS

ANSWERED PRAYERS	WANDERLUST

SUNSET IN ST. TROPEZ	SECRETS

THE COTTAGE	SECRETS

THE KISS	FULL CIRCLE

LEAP OF FAITH	CHANGES

LONE EAGLE	THURSTON HOUSE

JOURNEY	CROSSINGS

THE HOUSE ON HOPE STREET	ONCE IN A LIFETIME

THE WEDDING	A PERFECT STRANGER

IRRESISTIBLE FORCES	REMEMBRANCE

GRANNY DAN	PALOMINO

BITTERSWEET	LOVE POEMS

MIRROR IMAGE	THE RING

HIS BRIGHT LIGHT:	LOVING

The Story of Nick Traina	TO LOVE AGAIN

THE KLONE AND I	SUMMER'S END

THE LONG ROAD HOME	SEASON OF PASSION

THE GHOST	THE PROMISE

SPECIAL DELIVERY	NOW AND FOREVER

THE RANCH	PASSION'S PROMISE

SILENT HONOR	GOING HOME


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.

Total result on	Symptoma-tic patients	 Symptom-free patients

 ordinaryexamination	amplified examination

+	+ or not performed WR and KR both $\geqq 6$	180	81.8	68	80.9

+	+ or not performed WR and KR both $\geqq 3$$butone\leqq5$	16	7.3	8	9.5

±	+	6		1

			6.8		4.8

± 	not performed	9		3

± 	±	2		1

-	± 	2	3.2	0	3.6

Negative, ? or not performed	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.

Set	Phase I	Phase II	Nb. videos/client	Nb. videos

Laptop data	Mobile data	Mobile data	Mobile data

 Session-01	Session-01	Sessions 02-06	Sessions 07–12

Videos/client	Videos/client	(Videos/client)/sess.	(Videos/client)/sess.

Train	-	$ 5p + 10f + 5r + 1I$	$5 p+10 f+5 r+11$	$5p+5f+1I$	192	9600

Enrol	-	5p	-	-	5	500

Test	-	-	$10 \mathrm{f}+5 \mathrm{r}$	5f	105	10,500


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.

Formula	${MgB_{2}C_{2}}$

Molecular weight $\left(\mathrm{g}~ \mathrm{moI}^{-1}\right)$	69.946

Crystal size(mm)	$0.23 \times 0.19 \times 0.08$

Crystal shape	Truncated hexagonal pyramid

Colour	Transparent dark red,silver metallic lustre

Unit cell	$a=10.922(2)~\text{Å} ,b=9.461(2)~\text{Å} ,\\~~ c=7.459(1)~\text{Å} $

Volume $（\text{Å}^{3}）$	770.8(3)

Formula units per cell	16

Space group	Cmca- $D_{2 h}{ }^{18}$ (No. 64)

Density $\rho_{\text {calc }}, \rho_{\text {exp }}\left(\mathrm{g}~ \mathrm{cm}^{-3}\right)$	2.411, 2.360

$\mu\left(\mathrm{cm}^{-1}\right)$	3.41

Temperature $\left({ }^{\circ} \mathrm{C}\right)$	25

Data collection	$Four-circle diffractometer\\~STOE~~ STADI ~~4\\~graphite monochromator\\~\lambda~\ (\text{Mo}K\alpha) = 0.71073~\ \text{Å}$

Scan width $\left({}^{\circ}\right)(50$ steps)	1.5$~\omega-\theta$ scan, $~ for~ 3^{\circ} \leqslant 2 \theta \leqslant 65^{\circ}$$~\omega-2 \theta$ scan, for $65^{\circ} \leqslant 2 \theta \leqslant 90^{\circ}$

Time intervals per step (s)	0.5-2.0

Standard reflections	0 0 4, 0 -4 -2, -4 2 2

 Min./max. $\mathbf{2} \theta$	 $3^{\circ}\leqslant 2\theta\leqslant 90^{\circ}$

hkl range	$0 \leqslant h \leqslant 21,~-18 \leqslant k \leqslant 18,~-14 \leqslant l \leqslant 14$

No. of measured reflections	5895

No. of unique reflections	1569

$R_{int.}$	0.025

No. of reflections with$~F^{2}>3 \sigma\left(F^{2}\right)$	836

Structure solution	SHELXS-86 (direct methods) [20]

Refinement	SHELXS-76 [21]

No. of parameters	52

 Max. shift/ESD	0.086

Max./min. peak indifference map$（e\text{Å}^{-3}）$	$0.6 /-0.47$

$R^{\mathrm{a}}$	0.025

$R_{w}{ }^{\mathrm{b}}$	 $0.024\left(k^{\mathrm{c}}=0.6251, g^{\mathrm{c}}=0.0005\right)$

${ }^{a}R=\frac{\sum\left(\left||F_{\mathrm{o}}\right|-\left|F_{\mathrm{c}}\right||\right)}{\sum\left|F_{\mathrm{o}}\right|}$${\cdot}$

$\mathrm{^b}R_w = \frac{\sum \left(||F_o| - |F_c||\sqrt{w}\right)}{\sum \left(|F_o|\sqrt{w}\right)}$${\cdot}$

$\mathrm{^c}w = \frac{k}{\sigma^2(F_o) + |g| \cdot |F_o|^{2^{·}}}$


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.

Metrics	Unit	Range	Formula and Description

NP	None	NP ≥ 0	NP = $n_i$

NP equals the number of patches of the corresponding patchtype (class)

LPI	Percent	0 < LPI ≤ 100	$LPI = \frac{\max\limits_{1 \leq j \leq n} a_{ij}}{A} (100)$

LPI equals the area (m²) of the largest patch of thecorresponding patch type, divided by total landscape area (m²),multiplied by 100 (to convert to a percentage)

ED	Meters per hectare	ED ≥ 0	$ED = \frac{\sum_{k=1}^{m} e_{ik}}{A} (10,000)$

ED equals the sum of the lengths (m) of all edge segmentsinvolving the corresponding patch type, divided by the totallandscape area (m²), multiplied by 10,000 (to convert tohectares)

MPS	Hectares	MPS > 0	$MPS = \frac{\sum_{j=1}^{n} a_{ij}}{n_i} \left(\frac{1}{100,000}\right)$

MPS equals the sum of areas (m²) of all patches of thecorresponding patch type, divided by the number of patches ofthe same type, divided by 10,000 (to convert to hectares)

AWMPFD	None	1 < AWMPFD ≤ 2	$AWMPFD = \sum_{j=1}^{n} \left\{ \left[ \frac{2\ln(0.25p_{ij})}{\ln a_{ij}} \right] \left( \frac{a_{ij}}{\sum_{j=1}^{n} a_{ij}} \right) \right\}$

AWMPFD equals the sum, across all patches of thecorresponding patch type,of two times the logarithm of 0.25 thetimes patch perimeter (m), divided by the logarithm of patcharea $(\text{m}^2)$,multiplied by the patch area $(\text{m}^2)$ divided by totalclass area

AWMENND	Meters	AWMENND ≥ 0	$AWMENND = \sum_{j=1}^{n} \left[ h_{ij} \left( \frac{a_{ij}}{\sum_{j=1}^{n} a_{ij}} \right) \right]$

AWMENND equals the sum, across all patches of thecorresponding patch type,of the nearest neighbor distance ofeach patch, multiplied by the proportional abundance of thepatch (i.e. patch area divided by the sum of patch areas)


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.

序 号	项 目	标 准 值

1	生化需氧量 (BOD) $\leqslant$	80

2	化学需氧量 (COD) $\leqslant$	150

3	悬浮物 $\leqslant$	100

4	阴离子表面活性剂(LAS) $\leqslant$	5.0

5	凯氏氮 $\leqslant$	30

6	总磷 （以P计算）$\leqslant$	10

7	水温 $\left({}^{\circ} C\right)\leqslant$ 	35

8	pH $\leqslant$	$5.5 \sim 8.5$

9	全盐量 $\leqslant$	1000 (非盐碱土地区)2000 (盐碱土地区)有条件的地区可适当放宽

	氯化物 $\leqslant$	250

10	硫化物 $\leqslant$	1.0

11	总汞 $\leqslant$	0.001

12	总镉 $\leqslant$	0.005

13	总砷 $\leqslant$	0.05

14	六价铬 $\leqslant$	0.1

15	总铅 $\leqslant$	0.1

16	总铜 $\leqslant$	1.0

17	总锌 $\leqslant$	2.0

18	总硒 $\leqslant$	0.02

19	氟化物 $\leqslant$	3.0 (高氟区) 2.0 (低氟区)

20	氰化物 $\leqslant$	0.5

21	石油类 $\leqslant$	0.05

22	挥发酚 $\leqslant$	1.0

23	苯 $\leqslant$	2.5

24	三氯乙醛 $\leqslant$	1.0

25	丙烯醛 $\leqslant$	0.05

26	硼 $\leqslant$	1.0 (敏感作物：马铃薯、韭菜、洋葱)2.0(忍受力较强的:辣椒、小白菜、蒜等3.0(忍受力强的:萝卜、油菜、甘蓝等)

27

28	粪大肠菌群数 $\leqslant$	10 000

29	蛔虫卵数（个/升） $\leqslant$	2


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.

申请人	姓名	年龄	性别	籍贯	到职日	与死亡员工关系	住址

死亡员工							工资及津贴总数

伤亡经过

适用条文

请发抚恤款数	抚恤金 个月 总计 元扣除劳保给付计 实付 元

死亡证书

保证	保证人姓 名		职业	与申请人关系		身份证字号码		地址

保证公司		法人代表	与申请人关系		营业证字 号		地址

总经理签章			服务单位主管					人事部门财务部门	签章

申请人:身份证号码: 年 月 日

备注：(1)遗属申请抚恤者，应向人事部门请领申请表，照表填明呈报核实。(2)主管人员应严加审核。(3)保证人应以死亡员工的同事或朋友为限。(4)本表一式三份，一份存服务单位，一份存财务部门，一份呈报总公司。


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.

Кислота,	Субстргэт	 Микроорга-низм	Носитель	!Примечания 	С!сылка

1	2	3	4	5	6

Уксусная	этанол	Aoetobacter *aceti, смешан-ные культурыAoetobaotersp.	древеснаястружка,$Ti0_2$,,ZK>$_2$,хлопок,ке-рамика,стек-ло, DEAE-,TEAE-.DEPHAJB-ЕСТКОЬА-ЦРЛ -люлоза, вклю-чение в кол-лаген,карра-гинан	иммобили-зованныеклетки при-МЕНЯЮТСЯ Впромышлен-НОСТИ*	[9,20]

YKCyCHaA	$CO_r$,E^	 Acetobacterwoodi.Clost-ridiuin ace-tioum

Молочная	глюкоза(крах-мал)МОЛОЧ -ная сы-воротка	 Lactobaoil-lus delbru-okii, Rhyzo-pus orizae	C!а-альгинат,агароза.ПААГ,полые волокнамембранные реакторы	выпуска-ется в.Промышленноммасштабе(СК)*	[18,351


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.

工程名称

施工单位		支护方式

序号	验收项目	验收内容	验收结果

1	施工方案	有支护方案并经上级审批，针对性强，能指导施工，有专项安全技术交底

2	临边防护	坑槽开挖深度不足2m,按规定放坡;超过2m时,应有临边防护设施

3	坑壁支护	坑槽开挖设置安全边坡应符合规范或设计要求;特殊支护做法符合设计要求

4	排水措施	有效排水措施坑外降水有防止临边建筑危险沉降措施

5	坑边荷载	堆放置物料、器具应符合设计要求;不符合规定要求时应有加固措施

6	上下通道	人员上下应设专用通道并有防滑措施

7	作业环境	基坑内作业人员必须有安全可靠立足点垂直作业，必须有切实可行的隔离防护措施;光线不足时应设置足够的照明

8	基坑支护的监测	有对支护变形和对毗邻建筑物及重要管线、道路的沉降观测方案和措施

验收意见:年 月 日	项目负责人

技术负责人

施工负责人

安 全 员

分包单位负 责 人


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.

选挡杆位置	挡位	离合器	制动器	单向离合器

$\mathrm{C}_{0}$	$\mathrm{C}_{1}$	$\mathrm{C}_{2}$	$\mathrm{B}_{0}$	$\mathrm{B}_{1}$	$\mathrm{B}_{2}$	$\mathrm{B}_{3}$	$\mathrm{F}_{0}$	$\mathrm{F}_{1}$	$\mathrm{F}_{2}$

内圈	外圈	内圈	外圈

P	停车	$\bigcirc$							$\bigcirc$	$\bigcirc$	$\bigcirc$

$\mathrm{R}$	倒车	$\bigcirc$		$\bigcirc$	$\bigcirc$				$\bigcirc$	$\bigcirc$	$\bigcirc$

N	空挡	$\bigcirc$									$\bigcirc$

D	1 挡	$\bigcirc$	$\bigcirc$					$\bigcirc$			$\bigcirc$		$\bigcirc$

2 挡	$\bigcirc$	$\bigcirc$					$\bigcirc$			$\bigcirc$	$\bigcirc$

3 挡	$\bigcirc$	$\bigcirc$		$\bigcirc$			$\bigcirc$			$\bigcirc$

4 挡		$\bigcirc$		$\bigcirc$	$\bigcirc$		$\bigcirc$

2	1 挡	$\bigcirc$	$\bigcirc$								$\bigcirc$		$\bigcirc$

2 挡	$\bigcirc$	$\bigcirc$				$\bigcirc$	$\bigcirc$	$\bigcirc$		$\bigcirc$	$\bigcirc$

L	1 挡	$\bigcirc$	$\bigcirc$						$\bigcirc$	$\bigcirc$	$\bigcirc$		$\bigcirc$


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.

課程名稱 :	中文名稱 ：上瘾、藥物、咖啡因

英文名稱 ：Addiction: The Most Used and Abused Drugs

授課年段 :	二下	學分總數：1

課程屬性 :	實作(實驗)及探索體驗

師資來源 :	校內單科

課綱核心素養：	A自主行動：A1.身心素質與自我精進, A2.系統思考與問題解決, A3.規劃執行與創新應變

B 溥通互動：B2.科技資訊與媒體素養，B3.藝術涵養與美感素養

C 社會參與:C1.道德實踐與公民意識, C2.人際關係與團隊合作, C3.多元文化與國際理解

學生圖像 :	整合力，實踐力

學習目標 :	能分辨衛服定義的藥物，說出對人體的影響及其作用機制，並實際操作相關實驗、分析科學數據、繪製科學圖表。

教學大綱 :	週次	單元/主題	內容綱要

第一週	上癮	介紹常見的成癮物質與其生理機制

第二週	乙醇簡介	介紹歷史上乙醇的製作、用途與毒性；實驗預講

第三週	實作-1	乙醇 、乙酸製作

第四週	實作討論-1	分析實驗結果、製作圖表與結報

第五週	麴菌簡介	介紹麴菌及其在生活中的應用；實作預講

第六週	實作-2	酒釀製作

第七週	實作討論-2	分析實驗結果、製作圖表與結報

第八週	期中報告	分組報告

第九週	咖啡因簡介	介紹咖啡因的歷史及對人體的影響機制


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.

		ACh-inducedcontraction	ACh-inducedcontraction	NA-inducedcontraction

		in duodenum	in vas deferens

% reactivity

Control	N	100	100	100

S	167	117	81

Adrenalectomy	N	99	103	87

S	142	109	88

Adrenalectomy

 +Dexamethasone	N	123

S	168

% recovery* by adrenalectomy	35.8%	64.7%	105.3 %

Rate of relation* of dexamethasone	-4.6%


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.

	 Functionaldeterioration	Institutionalization	Death

Predictor	Point	Score	Point	Score	Point	Score

Baseline characteristics

Age

65-74	0		0		0

75-84	4		11		7

≥85	7		18		14

Gender

Male	-2		-3		5

Female	0		0		0

Race

Non-Hispanic white	0		0		0

Non-Hispanic black	0		9		4

Hispanic	0		13		4

Other	0		0		0

Education

 ≥High schooldiploma	0		0		0

 Below high schooldiploma	2		0		2

Living arrangement

With spouse	0		0		0

With children	2		0		3

With others	0		6		0

Alone	1		6		2

 Retirementcommunity	0		12		3

Dual eligibility

Medicare only	-2		-6		-2

 Medicare plusMedicaid	0		0		0

Proxy interviewed

Beneficiary	0		0		0

Proxy	4		0		4

Health conditions

Alzheimer'sdisease/dementia	7		16		9

Anginapectoris/coronaryartery disease	1		-5		0

Complete/partialparalysis	0		5		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.

$~~K_1$$\text{GGC(Gly)} \longrightarrow \text{ter}$	$~~K_2$$\text{GGC(Gly)} \longrightarrow \text{ter}$	$~~K_3$$\text{GGC(Gly)} \longrightarrow \text{ter}$	$~~K_4$$\text{ATA(Ile)} \longrightarrow \text{ter}$

MetAla (1)ATGGCNter	Trp (4)TGGACCTer	MetPro (1)ATGCCNTer	IleTyr (3)ATYTATAXATter

TrpAla (1)TGGGCNter		TrpPro (1)TGGCCNTer	IleMet (5)ATYATGTAXTACter

TrpHis (2)TGGCAYter		TrpAla (3)TGGGCNACCCGTer	IleAsn (5)ATYAAYTAXTTter

TrpGln (2)TGGCAXter		MetAla (3)ATGGCNTACCGTer

TrpPro (2)TGGCCNter		IleLys (5)ATYAAXTAXTTter

MetPro (3)ATGCCNTACGGter			IleIle (5)ATYATYTAXTAter

TrpPro (3)TGGCCNACCGGter			IleThr (5)ATYACNTAXTGter


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.

Source	df	SS	MS	$F_s$	P

For homogeneity of regression slopes

Nettle population X nettle size	1	0.907	0.907	1.034	0.315

Residual	43	37.741	0.878

For main effect of nettle population

Nettle size	1	16.489	16.489	18.773	<0.001

Nettle population	1	1.233	1.233	1.404	0.242

Residual	44	38.648	0.878


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.

Q6	Q5	Q4	Q3	Q 2	Q1	Questions	Importance(orpreference) ofone mainattribute overanother

S2	S1	S1	O	O	O	Attributes

						(7/2, 4, 9/2) Absolute

		X				 (5/2, 3, 7/2) Very strong

			X	X		(3/2, 2, 5/2) Strong

X	X				X	(2/3, 1, 3/2) Fairly strong

						(1，1，1) Equal

						(2/3, 1, 3/2) Fairly strong

						(3/2, 2, 5/2) Strong

						(5/2, 3, 7/2) Very strong

D	D	S2	D	S2	S1	(7/2, 4, 9/2) Absolute


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.

Flowmetertotal-errorexpectedlimit	Measure-ment-rangetype	$\begin{aligned} & \text { Volume of } n_{c} \cdot n_{r} \text { calibra- } \\ & \text { tions for an approximating } \\ & \text { equation of type }\end{aligned}$

Q=bx	Q=a+bx	Q=a+bx++cx$^{2}$

below 0,5	W	—	5×5	8×5

N	5×5	5×5	5×5

L	3×5	3×5	—

from 0.5to 1.5	W	5×5	5×5	8×5

N	3×5	5×5	—

L	3×5	3×5	—

from 1.5to 3	W	5x5	5×5	—

N	3×5	5×5	—

L	3×5	-	—

above 3	W	3×5	5×5	—

N	3×3	3×5	—

L	—	—	—


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.

Specimenidentity	Measured .failureload (kN)	Measuredcentral meanstrain atfailure $(\mu\varepsilon)$	Calculated loadwith mean strainat failure (kN)	 Differencebetween twoloads (%)	Calculated meanstrain withfailure load $(\mu\varepsilon)$	 Differencebetween twostrains (%)

Control 0	135.7	7110	145.5	+	6630	-7

Control 1	147.2	7410	151.7	+3	7192	-3

Control 2	169.2	一	一	一	一	一

Control 3	125.8	5825	119.2	-5	6146	+6

		$7200^{a}$	147.4	-17	一	一

Average	144.5 ± 19	68886 ± 719	141.0 ± 15	-4	6656 ± 523	-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.

项 目	行 次	本年计划	上年实际	本年实际

1、工资

2、职工福利费

3、折旧

4、办公费

5、差旅费

6、运输费

7、保险费

8、租赁费

9、修理费

10、咨询费

11、诉讼费

12、排污费

13、绿化费

14、物料消耗

15、低值易耗品摊销

16、无形资产摊销

17、递延费用摊销

18、坏帐损失

19、研究开发费。

20、技术转让费

21、业务招待费

22、工会经费

23、职工教育经费

24、待业保险费

25、劳动保险费

26、税金房产税车船使用税土地使用税印花税

27、土地损失补偿费

其 他

管理费用合计


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	Division in survey	Regression label

Age	16-24	LOW_AGE

25-34	MED_LOW_AGE

35-49	MED_AGE

50-64	MED_HIGH_AGE

65-	Excluded category

Income	0-210 000	LOW_INCOME

210 001-365 000	MED_LOW_INCOME

365 001-621 000	MED_HIGH_INCOME

621 001-	Excluded category

	MISSING_INCOME

Education	Basic	LOW_EDUCATION

Upper secondary	MED_EDUCATION

Tertiary	Excluded category

Type of housing	Owned apartment	Combined to OWN_HOUSE_APT

Owned house	Combined to OWN_HOUSE_APT

Rental apartment	Combined to excluded category

Other	Combined to excluded category

Employment	Unemployed	UNEMPLOYED

Employed	Excluded category

Sex	Female	FEMALE

	Male	Excluded category

Family	Single without children	HH_SINGLE

Single with children	HH_SINGLE_CHILD

Married/cohabiting with children	HH_MARRIED_CHILD

Other	HH_OTHER

Married/cohabiting without children	Excluded category

Region	Big city county	CITY

	Forest county	Excluded category

	Other	LOCATION_OTHER


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. 遵循浇注系统的设计原则。3. 工作页引导。4. 查阅学习资料。5. 小组讨论。6. 教师指导。7. 模流分析。8. 客户反馈。

五、教学难点及其化解方法

教学难点：计算浇注系统各组成部分的相关设计参数，与客户沟通协调，修改设计参数，优化设计方案。化解方法：1. 仔细分析塑件，对比浇注系统各组成部分不同结构形式的利与弊。2. 遵循浇注系统的设计原则。3. 查阅学习资料。4. 小组讨论。5. 模流分析。6. 教师指导。7. 客户反馈。

六、教学策略选择与设计

1.引导文学习: 学生在工作页的引导下, 认真思考, 积极参与并动手实践。2.创设教学情境: 以生产企业的真实产品为载体, 构建教学项目, 创设与企业真实设计一致的设计环境。

企业设计环境	学校学习环境

模具设计人员工作条件	一台电脑	学生在校学习条件	每人一台电脑

模具设计人员工作内容	设计模具	学生在校学习方式	设计模具

模具设计人员设计模具	用于塑料制品生产	学生在校设计的模具	从企业实际生产中选择

模具设计人员使用软件	Pro/E 或 UG	学生设计使用的软件	UG

 3. 任务驱动法: 以真实产品的真实模具设计工作过程为导向, 学生在完成“注射模浇注系统的设计”任务的驱动下, 通过对任务分析、讨论, 明确它涉及的知识以及需要解决的问题; 在老师的指导和帮助下, 通过对学习资源的主动应用, 在自主探索和互动协作的学习过程中, 找出完成任务的方法, 最后通过任务的完成情况检验学习效果。4. 小组合作学习: 培养学生良好的团队意识、合作学习的习惯,促进学生个性发展等。

七、教学环境及资源准备

资源准备:学材、注射模注塑原理视频、课件、《注塑模具设计师速查手册》、参考书、塑件、注射模一套、卧式注射机、模具拆装工具。


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.

Description	$\begin{matrix}H_s \\(m)\end{matrix}$	$I_{Hs}$

Most spots are flat	<0.5	0

Most spots present small wave height	0.5-1	2.5

Only exposed spots present optimal surfable wave height	1-1.5	7.5

Most spots present optimal surfable wave height	1.5-5	10

Only most sheltered spots present optimal surfable wave height	>5	5

Description	W(m/s),βw°	$I_w$

Calms or suitable offshore winds	$0^\circ \leq \beta_W \leq 90\ \&\ W \leq 3$	1

- 180 $<\beta_{W}<0 \& W \leq 15$

Choppy onshore or unpleasant offshore winds	$0 \leq \beta_{W} \leq 90 \& 5<W<10$	0.5

$ -180<\beta_{W}<0\& 20<W<25 $

Too windy for surfing	$ 0\leq\beta_{W}\leq 90\& W\geq 15-180<\beta_{W}<0\& W\geq 30 $	0

Description	$T_p$	$I_{Tp}$

(s)

Unsurfable	<6	 0

Bad quality surf	6-8	2.5

Can create some good surfing conditions in exposed beach breaks	8-10	5

Create good surfing conditions in many beach and point breaks	10-12	7.5

Create good surfing conditions in point and reef breaks. Beach breaks use to close out	>14	10

Description	SST	Ic

(℃)

Extremely uncomfortable, even with wetsuit (6 mm), booties, gloves and hood	<4	0.5

Uncomfortable, even with wetsuit $(5 \mathrm{~mm})$, booties, gloves and hood	4-8	0.75

Moderately comfortable. Wetsuit (4 mm), booties, gloves and hood are needed	8-12	0.8

Moderately comfortable. Wetsuit (4 mm) is needed	12-16	0.85

Comfitable. Spring sui t(3 mm) is needed	16-20	0.9

Ideal conditions. Spring suit, shortly or no wetsuit	>20	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.

省 份	发布主体	文件名称

安 徽	安 徽 省 人 民 政 府	《安徽省人民政府关于加强地方政府性债务管理的实施意见》

福 建	福 建 省 人 民 政 府	《福建省人民政府关于加强政府性债务管理的实施意见》

福 建 省 财 政 厅	《福建省财政厅关于对地方政府债务实行限额管理的实施意见》

甘 肃	甘 肃 省 人 民 政 府	《关于妥善解决地方政府融资平台公司在建项目后续融资问题的通知》

甘 肃 省 人 民 政 府	《甘肃省人民政府关于加强政府性债务管理的实施意见》

广 西	广 西 壮 族 自 治 区人 民 政 府 办 公 厅	《关于开展地方政府存量债务清理甄别工作的通知》

广 西 壮 族 自 治 区 人民 政 府	《广西壮族自治区人民政府关于进一步加强政府性债务管理的意见》

河 北	河北省人民政府	《河北省人民政府关于加强政府性债务管理工作的意见》

河 北 省 财 政 厅	《河北省财政厅关于进一步加强政府性债务管理的通知》

黑 龙 江	黑 龙 江 财 政 厅 	《 2015 年黑龙江政府一般债券发行管理办法》

黑 龙 江 财 政 厅	《 2015 年黑龙江政府专项债券发行管理办法》

吉林	吉 林 省 人 民 政 府	《吉林省政府债务管理办法 ( 试行 ) 》

吉 林 省 人 民 政 府	《吉林省人民政府关于进一步加强政府性债务管理的实施意见》

吉 林 省 财 政 厅	《吉林省地方政府性债务规模管理和风险预警指标监测管理办法》

吉林省财政厅	《吉林省地方政府性债务收支计划编制办法》

吉林省财政厅	《吉林省地方政府性债务举借核准管理办法》

吉林省财政厅	《吉林省地方政府性债务偿债准备金管理办法》

吉林省财政厅	《吉林省地方政府融资平台公司财务管理办法》

吉林省人民政府	《吉林省政府债务管理办法 ( 试行 ) 》

江西	江西省人民政府办公厅	《江西省政府性债务管理暂行办法的通知》

江西省财政厅	《关于对地方政府债务实行限额管理的实施意见》

宁夏	宁夏回族自治区人民政府	《宁夏回族自治区政府性债务管理办法》

青海	青海省财政厅	《青海省地方政府债务实行限额管理办法》

青海省政府办公厅	《青海省人民政府关于深化政府性债务管理改革的意见》

青海省政府办公厅	《青海省地方政府债务风险评估和预警暂行办法》


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.

 PCI局部基址的偏移地址	 为确保与PCI 9052 系列的其他版本的软件兼容性以及为确保与未来功能增强的兼容性,将所有的未用位写为“0”	PCI 和串行EEPROM可写

31 0

00h	局部地址空间 0 范围寄存器	Y

04h	局部地址空间 1 范围寄存器	Y

08h	局部地址空间 2 范围寄存器	Y

0Ch	局部地址空间 3 范围寄存器	Y

10h	局部扩展 ROM 范围寄存器	Y

14h	局部地址空间 0 的局部基址(再映射)寄存器	Y

18h	局部地址空间 1 的局部基址(再映射)寄存器	Y

1Ch	局部地址空间 2 的局部基址(再映射)寄存器	Y

20h	局部地址空间 3 的局部基址(再映射)寄存器	Y

24h	扩展 ROM 的局部基址(再映射)寄存器	Y

28h	局部地址空间 0 的总线区域描述符寄存器	Y


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.

Point	Anatomical structure	Nomenclature

1	Linea Alba	LA

2	Rectus Abdominis muscle	RA

Posterior rectus sheath	F post RA

3	Anterior fascia of external oblique muscle	F ant EO MAM

External Oblique muscle	EO MAM

Fascia between external and internal oblique muscles	F EO-IO MAM

Internal Oblique muscle	IO MAM

Fascia between internal oblique and transversus abdominis muscles	F IO-TA MAM

Transversus Abdominis muscles	TA MAM

Posterior fascia of transversus abdominis muscles	F post TA MAM

4	Anterior fasciaof external oblique muscle	F ant EO AXIL

External Oblique muscle	EO AXIL

Fascia between external and internal oblique muscles	F EO-IO AXIL

Internal Oblique muscle	IO AXIL

Fascia between internal oblique and transversus abdominis muscles	F IO-TA AXIL

Transversus Abdominis muscles	TA AXIL

Posterior fascia of transversus abdominis muscles	F post TA AXIL


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	$R(e^+)$	momentum transfer roughness function

A	heat transfer surface area, $\mathrm{m}^{2}$	$r_s$	ratio of resistance of smooth outer surfaceto that of inner surface

$C_P$	specific heat, kJ/kg °C

d	tube inside diameter, m	St	Stanton number

$d_o$	tube outside diameter, m	T	temperature, °C

$E_{ho}$	ratio of outer surface heat transfer coeffi-cient of enhanced tube to that of smoothtube	$T_{sat}$	saturated steam temperature, °C

		U	overall heat transfer coefficient, $W/m^{2}$ °C

e	roughness height, m	Greek symbols

$e^+$	roughness Reynolds number	$\alpha$	helix angle, deg

f	friction factor	$\mu$	dynamic viscosity, kg/m s

G	mass velocity, $\mathrm{kg} / \mathrm{m}^{2} \mathrm{~s}$	$\rho$	fluid density, kg/$m^{3}$

$G\left(e^{+}, P r\right)$	heat transfer roughness function	Subscripts

h	heat transfer coefficient, W/$m^{2}$ °C	a	enhanced tube

$h_i$	tube-side heat transfer coefficient, W/$m^{2}$ °C	b	bulk condition

L	tube length, m	oa	outer surface of the enhanced tube

m	mass flow rate, kg/s	os	outer surface of the smooth tube

P	dissipating power, W	s	smooth tube

Pr	Prandtl number	w	wall condition

p	pitch of corrugation, m

$\Delta p$	pressure drop, Pa	Superscripts

$Q$	heat duty, W	'	tube-side inlet

Re	Reynolds number	"	tube-side outlet


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.

	Type of exchanger	Fluid type (fluid components)	Operationmode	Linearmassfluxrange(kg m$^{-1}~s^{-1})$

Lee et al.(2008)	Horizontal smooth tube,falling film	Ammonia-water	Absorption	0.0163	0.0291

Owens (1978)	Horizontal smooth tube,falling film	Ammonia-water	Evaporation	0.0089	0.7413

HuandJacobi(1996)	Horizontalsmoothtube,falling film	Water,ethylene glycol, glycol-water, oil,alcohol	Isothermal	0.0038	0.22

Hu and Jacobi,1996	Horizontal smooth and sandblasted tube,falling film	Water, ethylene glycol, glycol-water	Evaporation	0.0019	0.72

Lee et al. (2012)	Horizontal smooth tube,falling film	Ammonia-water	Absorption	(0.002)0.008	0.014


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.

Site	Dominant clay minerals [weight %]	Other minerals	Approximate overburden depth (m)	Porosity (%)

Frio, USA (Hovorka, 2009;Lynch, 1997)	Illite-smectite ~45%	Calcite	1450	8-10

Illite ~10%

Kaolinite 13%

Chlorite ~3%

Sleipner, Norway (Bøe andZweigel, 2001; Chadwicket al., 2004; Pilliteri et al.,2003)	Mica-Illite ~25%	Calcite 1-3%Siderite 2%	750	35

Kaolinite 14-18%

Smectite 3-9%

Chlorite 1-4%

Krechba, Algeria (Armitageet al., 2010; Mathieson et al.,2010)	Muscovite-illite ~25-50%	Siderite ~15-0%	1850	1.8-11.3

Chlorite ~20-4%

Kaolonite ~8-4%

Otway, Australia (Watson et al.,2005)	Kaolinite 44-17%	Siderite 35-2%	1980	2.5-7.5

Illite 6-1%

Smectite 3-1%

SACROC, USA (Carey et al.,2007; Han et al., 2010)	Illite-smectite 62%	Calcite 2.5%	2000	1.3

	Dolomite 2%

	Halite 0.1%

Rousse, France (Tonnet et al.,2011)	Illite 2.2-14.5%	Calcite 30-65%	4000	0.5-3

Kaolinite 0.3-4.1%	Dolomite 3-63%

Chlorite 0.1-2%	Siderite 0.1-6.2%

Carnarvon, Australia(Dewhurst et al., 2002)	Illite-smectite 30-25%		1100	21

Illite 15-20%	Siderite 1-4%

Kaolinite ~15%

Chlorite ~5%

Ketzin, Germany (Förster et al.,2007)	Ilite 42-74%	Dolomite 4-35%	600	10

Chlorite 1-3%	Halite (small fraction)


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.

Main variables	Group	n	Mean (SD)	t

Age	Non-wanderer	34	$75(6 \cdot 9)$	-2·04*

Wanderer	43	$78(8 \cdot 5)$

Cognitive impairment	Non-wanderer	34	$ 15\cdot 2(5\cdot 8) $	$2 \cdot 20^*$

Wanderer	43	$12 \cdot 2(6 \cdot 1)$

Familiarity	Non-wanderer	34	 $3\cdot 6(0\cdot 35)$ 	$3 \cdot 96^{* * *}$

Wanderer	43	$3 \cdot 1(0 \cdot 66)$

Physical dependency in ADLs	Non-wanderer	34	$ 16\cdot 9(9\cdot 5) $	$-2 \cdot 48^*$

Wanderer	41	$22 \cdot 6(10 \cdot 5)$

Duration of living in currentplace（months）	Non-wanderer	 34	$268 \cdot 9(255 \cdot 4)$	$3 \cdot 95^{* * *}$

Wanderer	43	$92 \cdot 8(126 \cdot 9)$


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.

Company:	Department:	Approved by:Karen Smith	Date:

#	Goals	 Actionsto achieve Goal	Accountablechampion	Metrics	Completiondates	Evaluationresults

1	 Reducecomputer-generatedreportssignificantlybyMay 30

 A. Attach arequest card toevery report byMarch 16, askingthe recipientto the attachedrequest card byApril 16 if heor she wishesto continueto receive thenamed report.	John Doe	 Noticessent out byMarch 16	March 16

 B. Eliminatefrom the systemany report thathas no RequestCards returnedby April 30th.	Any reportwith norequest cardsis eliminatedby April 30	April 30

 C. Delete fromthe send to listany recipient whohas not returneda request card fora specific reportby May 12.	 Deletednonresponsiverecipientsfrom thesend to listby May 12	May 12

 D. Reduce thenumber ofreports printedaccordingly, andreport the resultsby May 30.	 Send out areport of the# of fewerreports beingsent out byMay 30	May 30


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.

Related physicalproper	Physical Parameter	Similarity

Geometric	Length	1/3

Linear displacement	1/3

Acreage	1/9

Angular displacement	1

Strain	1

Material	Intensity	1

Modulus of Elasticity	1

Stress	1

Density	1

Mass	1/3

Load	Acceleration of gravity	1

Concentrated load	1/9

Line load	1/3

Area load	1

Moment	1/27

Shear force	1/9

Reinforcement	Longitudinal reinforcement beamand column	1/9


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.

	WEEKLY EARNINGS SHEET: WEEK OF MAY 12 - MAY 19

	Name	HourlyPay	RegularHoursWorked	RegularPay	OvertimeRate	HourlyOvertimePay	Hours ofOvertime	OvertimePay	GrossWeeklyEarnings

(a)	Jill	$3.10	40		$1\frac{1}{2}$		8

(b)	Kevin	$3.85	40		$1\frac{1}{2}$		7

(c)	Ethel	$4.15	40		$1\frac{1}{2}$		5

(d)	Mary	$4.25	35		$1\frac{1}{2}$		0

(e)	Janet	$4.85	40		$1\frac{1}{2}$		3

(f)	Margo	$5.15	35		$1\frac{1}{2}$		0

(g)	Will	$5.35	40		$1\frac{1}{2}$		2

(h)	Tom	$6.25	40		$1\frac{1}{2}$		9


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.

故 障 种 类	产 生 原 因	消 除 方 法

后落棉杂质少	(1) 小漏底入口隔距过大或出口隔距过小	(1) 适当校正隔距

(2) 除尘刀角度 (刀背与水平面夹角）过大	(2) 适当調整角度

（3）刺辊偏心	(3) 檢修刺辊

(4) 刺辊锯齿过纯或高低不一	(4) 錫齿进行平磨

(5) 刺辊速度过慢	(5) 調整速度

(6) 小漏底弧度过长	(6) 适当縮短小漏底

后落棉白花多	(1) 小漏底入口隔距过小或出口隔距过大	(1) 适当校正隔距

(2) 銹齿过鈍或倒齿	(2) 锯齿进行检修、磨碾、刷光或换新

(3) 除尘刀位置过低	(3) 适当抬高除尘刀

(4) 小漏底圆弧度不正和网眼堵塞	(4) 对小漏底圆弧度进行檢修与擦光并加强淸扫工作

(5) 小漏底尘棒变形、不光滑	(5) 檢修尘棒

(6) 大小漏底接口不平齐、有缝隙	(6) 檢修或校正漏底接口处

(7) 锯齿上沾油花	(7) 清除油花

盖板花过厚或过薄	(1) 前上罩板上口至錫林間隔距過大則厚，過小則薄	(1) 校正隔距

(2) 鏈条伸长过多	(2) 檢修或調換鏈条

(3) 盖板針長、 銳利而錫林針短,則厚；反之則薄	(3) 適當調整或磨礪

盖板花左右厚薄不均或部分断裂	(1) 前上罩板上口弯曲不平	(1) 校直

(2) 前上罩板高低左右不一	(2) 校装高低一致

(3) 星形导盘至曲軌間距离左右不一	(3) 校正


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.

	Maandag	Dinsdag	Woensdag	Donderdag	Vrijdag	Zaterdag	Zondag

18					1Dag van de arbeid	2	3

19	4Dodenherdenking	5Bevrijdingsdag	6	7	8	9	10Moederda

20	11	12	13	14Hemelvaartsdag	15	16	17

21	18	19	20	21	22	23	241e Pinksterdag

22	252e Pinksterdag	26	27	28	29	30	31


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.

Sampleno.	Species	Part	Losson$drying^a $(%)	$Content^b$ (mg/g from drymaterial)

Neosalacinol(3）	Neokotalanol(4)

SCS-1	S. chinensis	Stem	4.0	0.022 ± 0.003	0.257 ± 0.006

SCR-1	Root	8.7	0.010 ± 0.001	0.035 ± 0.008

SCL-1	Leaf	8.2	$-^c$	0.018 ± 0.004

SCF-1	Fruit	11.7	$-^c$	$-^c$

SRR-1	S. reticulata	Root	10.4	0.022 ± 0.002	0.082 ± 0.003

SOR-1	S. oblonga	Root	9.7	0.024 ± 0.005	0.103 ± 0.003


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	Effect of	Conditions	 Mean inflow rate(IVC + SVC) (L/min)	IVC:SVC flowratio (%)	LPA:RPA flowratio (%)	IVC pulsatility(%)

#1	Respiration	BH	Patient-specific	3.2	75.1	45.9	33.4

FB	Patient-specific	4.04	76.3	56.4	84.8

Exercise	FB	Patient-specific	4.04	76.3	56.4	84.8

EX	${Half-peak pulsatile^{a}$	5.95	77.8	46.1	93.4

Peak patient-specific	7.90	79.3	43.1	101.1

#2	Respiration	BH	Patient-specific	3.10	76.8	23.0	31.9

FB	Patient-specific	4.96	43.8	25.3	115.2

Exercise	FB	Patient-specific	4.96	43.8	25.3	115.2

EX	$Half-peak pulsatile^{a}$	6.20	47.4	25.1	118.4

Peak patient-specific	7.08	48.2	25.3	126.4


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

$A_{c}$	total debris casualty area

$A_{frag}$	surviving fragment cross-section

 $\mathrm{A}_{h}$ 	projected human cross-section $\left(A_{h}=0.36 m^{2}\right)$

$A_{ref}$	reference area

 $A_{S}$ 	surface area

B	ballistic coefficient $\left(k_{g} / m^{2}\right)$

$C_{lam}$	laminar hypersonic heating constant $(C_{lam}=1.23\times10^{-4}$$kg^{0.5}/m)$

$c_{p}$	specific heat capacity

$E_{c}$	casualty expectancy

h	altitude

$H_{0}$	density scale height (m)

$h_{m}$	latent heat of melting

$k_{av}$	shape dependent scaling factor $\left(k_{av}=\frac{1}{A_{ref}}\int_{S}\frac{\dot{q}_{local}}{\dot{q}_{stag}}dS\right)$

Kn	Knudsen number

L	characteristic length

m	mass

$\dot{m}$	mass rate of change

Q	total heat absorbed

$\dot{Q}$	heat flux

$\dot{q}$	heat flux per unit area

$R_{N}$	nose radius

$Re_2$	Reynolds number behind the shock

St	Stanton number

T	temperature

$T_{m}$	melting temperature

$\dot{T}$	rate of change in temperature

u	ratio between release and circular orbit velocity

v	velocity

$v_{E}$	entry velocity

$\nu_{\infty}$	free-stream velocity

$\epsilon$	emissivity

 $\theta$ 	flight path angle

$\rho$	atmospheric density

$\rho_{0}$	atmospheric density at sea-level

 $\rho_{P}$ 	population density

$\rho_{\infty}$	free-stream density

$\sigma$	Stefan-Boltzmann constant


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.

序号	字段名	字段类型	字段宽度 小数位数

1	工号	C	5

2	姓名	 C	10

3	性别	 $\mathrm{C}$	2

4	出生日期	D	8

5	工龄	N	3

5	职称	C	10

6	基本工资	N	5

7	婚否	L	1

8	简历	M	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.

	Model I	Model 2

	b	$SE^a$	b	$SE^a$

Race-ethnicity

NH white	Ref		Ref

NH black	$-.313^{* *}$	.100	$-.404^{* * *}$	.110

Hispanic	-.084	.117	-.084	.125

Acute discrimination

Low	Ref		Ref

Moderate	$-.132^*$	.063	$-.153^{+}$	.091

High	$-.251^{* *}$	.075	$-.437^{***}$	.121

Race × acute discrimination

NH black × moderate			.118	.140

NH black × high			$.357^*$	.166

Hispanic × moderate			-.085	.176

Hispanic × high			.138	.212

Self-rated health at age 40	$.997^{* * *}$	.051	$.997^{***}$	.051

Marital status

Currently married	Ref		Ref

Never married	$-.246^{+}$	.146	$-.246^{+}$	.146

Previously married	$-.22 \mathrm{l}^{*}$	.092	$-.218^{*}$	.092

Region of residence

North	Ref		Ref

Midwest	-.168	.125	-.173	.125

South	-.058	.117	-.055	.117

West	.022	.149	.026	.149

Employment status

Employed	Ref		Ref

Unemployed	-.285	.253	-.282	.254

Out of labor force	$-.245^{*}$	.104	$-246^*$	.104

Years of education	$.100^{***}$	.020	$.099^{***}$	.020

N children	5,604	5,604

N mothers	2,771	2,771


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.

	Proportion of CommunityWith Family in theUnited States	(1)	(2)	(3)	(4)

Wife's Proportion of Assets	>1/3	0.767

[0.98]

<1/3	0.418*

[2.14]

Wife's Proportion ofNonlabor Income	>1/3		0.687

	[1.25]

<1/3		0.388*

	[1.99]

Wife's Proportion of MajorHousehold Decisions	>1/3			0.504

		[1.34]

<1/3			$0.301^{\dagger}$

		[1.72]

Number of Domains in WhichHusband's Values > Wife's	>1/3				 $1.212^{\dagger}$

			[1.95]

<1/3				1.236

			[1.02]

More Than One-Third ofCommunity Has Familyin the United States		2.291*	3.365**	2.977**	3.704**

	[2.02]	[5.68]	[2.76]	[4.01]

Chi-Squared (28)		220.60	212.94	193.17	203.86

McFadden's $R^{2}$		.113	.111	.111	.111


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	SE	Standard (Uncoated) Engine

BTE	Brake Thermal Efficiency

FE	Fennel seed	CO	Carbon Monoxide

LHR	Low Heat Rejection	HC	Hydrocarbon

SEM	Scanning Electron Microscope	NA	Naturally Aspirated

FE-30	Fennel Seed Oil%30 + Diesel Fuel%70	NOx	Nitrogen Oxides

FE-50	Fennel Seed Oil%50 + Diesel Fuel%50	Ppm	Part Per Million

HFE-30	Heated fennel Seed Oil%30 + Diesel Fuel%70	Rpm	Revolution Per Minute

HFE-50	Heated fennel Seed Oil%50 + Diesel Fuel%50	CO	Carbon Monoxide

ASTM	American Society for Testing and Materials	TBC	Thermal Barrier Coating

EGT	Exhaust Gas Temperature	HDF	Heated Diesel Fuel

CE	Coated Engine	μm	Micron Meter


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.

Qualification	Number	$Percentage (\%)$

a MBBS	80	16

b) BTech	80	16

c）BCom	80	16

d）BSc	90	17

e) BSc-H	97	19

f）BA	80	16

Total	507	100

2. Religion

a) Hindu	82	16

b) Muslim	425	84

c) Sikh	-	-

d) Christian	-	-

Total	507	100

3. Age of Respondents

a) 20-25years	427	84

b) 26-30years	80	16

Total	507	100

4. Monthly Income of Family

a) Below 5,000	105	21

b) 5,000-15,000	171	34

c) 15,000-50,000	169	33

d) Above 50,000	62	12

Total	507	100


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.

Dependent variable		Tree component	Measurement	Units

1	THI	Top	Height increment	$\mathrm{cm}~\mathrm{yr}^{-1}$

2	New	Branches, all	New branches > 2 cm	count

3	TMI	Aboveground, all	Mass increment	$\mathrm{kg}~\mathrm{yr}^{-1}$

4	WVI	Main trunk, all	Wood volume increment	$\mathrm{m}^{3} ~\mathrm{yr}^{-1}$

5	SVI	Main trunk, all	Radial increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

6	DBHI	Main trunk at BH	Diameter increment	$\mathrm{mm} \mathrm{yr}^{-1}$

7	DTBI	Main trunk at TB	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

8	BMI-U	Branches, upper crown	Mass increment	$\mathrm{kg}~\mathrm{yr}^{-1}$

9	BMI-L	Branches, lower crown	Mass increment	$\mathrm{kg}~\mathrm{yr}^{-1}$

10	BDI-U1	Branches, upper crown	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

11	BDI-U2	Branches, upper crown	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

12	BDI-U3	Branches, upper crown	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

13	BDI-L	Branches, lower crown	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

14	SC-U1	Branches, upper crown	3-yr slope change	degrees

15	SC-U2	Branches, upper crown	3-yr slope change	degrees

16	SC-U3	Branches, upper crown	3-yr slope change	degrees

17	SC-L	Branches, lower crown	3-yr slope change	degrees

18	Orthos	Target branches	Orthotropic reiteration	count

19	BDI-sub	Target branches	Diameter increment	$\mathrm{mm}~\mathrm{yr}^{-1}$

20	BMI-sub	Target branches	Mass increment	$\mathrm{kg}~\mathrm{yr}^{-1}$


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.

Sl. no.	Parameter	CAC [17]	BFS AC

	Proximate analysis

1	Moisture	6.11	9.34

2	Volatile matter	72.29	61.08

3	Fixed carbon	21.02	28.73

4	Ash	0.58	0.85

Sl. no.	Parameter	CAC [18]	BFS AC

	Elemental analysis

1	Carbon	88	58.68

2	Hydrogen	0.4	4.05

3	Sulphur	-	0.00

4	Nitrogen	2.1	0.43

5	$Oxygen^a$	9.5	36.84


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.

Reaction	Frequencyfactor*	Activationenergy$(kcal \ mole^{-1})$	Rateconstant*at 570°C	Reference

[1i]	$1.0\times10^{14}$	50	11.0	Estimated

[2]	$7.7\times10^{11}$	10.4	$1.55\times10^9$	Est.from Boddy andSteacie (21)

[3]	$6.5\times10^{11}$	24.0	$3.92\times10^5$	Gruver andCalvert (22)

[4]	$1.6\times10^{11}$	22.0	$3.18\times10^5$	Kerr and Trotman-Dickenson (23)

[5]	$2.7\times10^{11}$	9.0	$1.26\times10^9$	Jones andSteacie (24)

[6]	$3.0\times10^{14}$	39.5	$1.74\times10^4$	Bywater andSteacie (25)

[7]	$1.0\times10^{14}$	7.9	$8.97\times10^11$	Schiff andSteacie (26)

[11]	$3.0\times10^{11}$	0	$3.00\times10^11$	Estimated

[12]	$5.0\times10^{14}$	59		$2.56\times10^-1$	Est. from McKenney,Wojciechowski,andLaidler (4)and Gowenlock,Trotman, andBatt (27)

[13]	$7.0\times10^9$	0	$7.0\times10^9$	Estimated

[14]	$1.9\times10^16$	48	$6.90\times10^3$	Calc.from Clyneand Thrush (28)using S =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.

Species	n	Frequency	Occurrence	Mean MaxN whenpresent

Sebastes melanops	177	0.5	Common	3

Sebastesmystinus/diaconus	94	0.27	Common	3.76

Enophrys bison	1	<0.01	Rare	1

Scorpaenichthysmarmoratus	12	0.03	Rare	1

Sebastes pinniger	13	0.04	Rare	2.15

Sebastes nebulosus	4	0.01	Rare	1

Hexagrammosdecagrammus	189	0.54	Common	1.15

Ophiodon elongatus	97	0.27	Common	1.12

Oxylebius pictus	2	0.01	Rare	1

Rhacochilus vacca	67	0.19	Rare	1.42

Sebastes maliger	1	<0.01	Rare	1

Embiotoca lateralis	116	0.33	Common	2.09

Anarrhichthys ocellatus	2	0.01	Rare	1

Sebastes ruberrimus	1	<0.01	Rare	1

Sebastes flavidus	11	0.03	Rare	2.27


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.

杂质/残余物	除杂质的有效性

有效	较有限	无效

极 性 	手印盐	X

松香活化剂	X

活化剂残渣	X

切割油		X

暂时性焊印/焊接中止印	X

焊接盐	X

残渣镀敷	X

残渣浸蚀盐	X

中和器	X

乙醇胺	X

非极性	松香固定纹	X

石蜡		X

焊接油	X

切割油	X

手印油	X

焊剂松脂、松香	X

标记		X

手油		X

硅有机树脂			X

狭带残渣			X

暂时焊印/焊接中止印	X

有机溶剂膜	X

表面活化剂	X

粒子	松脂和玻璃纤维屑			X

金属和塑料加工废渣			X

尘埃	X

堆放污物		X

纤维屑		X

绝缘尘		X

头发/皮肤		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.

	NotPresent	Present

Style	n	%	n	%

Freestyle	182	74.3	63	25.7

Greco-Roman	189	84.4	35	15.6

Just started wrestling	193	89.4	23	10.6

Total	564	82.3	121	17.7


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.

Features	Chandukala et al. (2011)	Srinivasan, Vanhuele,and Pauwels (2010)	This Study

Modeling Aspects

Dependent variables	Univariate(purchase intent)	Multivariate vector(brand salesand mind-set metrics)	Multivariate vector(brand salesand mind-set metrics)

Objective data on brandperformance and advertising input	Self-reported survey data	Yes	Yes

Incorporates dynamicadvertising-sales response	Only static on purchase intent	Yes	Yes

Incorporates permutations of(C, E, A) factors	Brand beliefs and intendedactions	Only for items	Yes

Advertising triggers all factors	Triggers brand beliefs	Only for items	Yes

Incorporates purchase reinforcement	No	Only for items	Yes

Incorporates factor dynamics	No	Only for items	Yes

Allows for lagged or concurrentfactor dynamics	No	No	Yes

Allows for consumer segments	Yes	No	No

Bridges advertising-salesresponse and hierarchy of effects	Direct and indirecteffects of advertising	Only for items	Yes

Methodological Aspects

Ensures consistency by denoisingmetrics	No	No	Yes

Extracts nonorthogonal factors	No	No	Yes

Rotates factors orthogonally	No	No	Yes

Tests factor retention(i.e., need for one or more factors)	No	No	Through RJ-MCMC

Bayesian estimation, inference, andselection (to discover operatinghierarchy)	Yes	No	Yes


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.

Compound	$ΔE(S_1-T_1)$$~ ~ {cm}^{-~1}$	Liquid	Polymer	Surface*

name	$I_2 / I_1$	$\tau_{\text{in}},$$\mu\text{sec}$	name	$I_2 / I_1$	$\tau_{\text{in}},$$\mu\text{sec}$	$I_2 / I_1$	$\tau_{\text{in}},$$\mu\text{sec}$

Eosin	2800	$\mathrm{H}_2 \mathrm{O}$	20	5	PVB	2	30

Propanol	68	30	OMC	4	40	70	5

Acetone	5,5	15	OEC	2,5	35

Erythrosine	2200	$\mathrm{H}_2 \mathrm{O}$	20	5	OMC	4	35

Propanol	12,5	12	OPC	4	20

Acetone	10	10	OEC	3	20

Methyiene blue	2510				PVB	1,2

Rhodamine 6G	3400				PVB	1		350	8

Acriflavine	3100				PVB	3,6	40	220	6

Acridine orange	2900				PVB	3	30	120	3

Anthracene	12000	Propanol	1		PVB	7,6	20

Pyrene	10000	Propanol	1		PVB	12,5	20

1,2-Benzanthracene	9500	Propanol	1,6		PVB	16	25

Chrysene	7700				PVB	4,5	25


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.

General factors (mean values)	Clustered groups/disturbance levels

G2	G1	G3	G5	G4

D0	D1	D2	D3	D4

Number of plots	14	9	6	8	5

Slope steepness	29°	32°	36°	19°	18°

$\text{Slope direction}^\mathrm{a}$	7.7	2.3	6.7	6.8	2

$\text{Slope position}^\mathrm{b}$	1.5	1.8	1.6	2.3	2.2

Altitude (m)	839	821	730.7	664.8	668.4

$\text{Basal area }(\mathrm{m}^{2}\ \mathrm{~ha}^{-1})^{\mathrm{c}}$	31.6	29	31	23.1	20.7

$\text{Distance to habitation (m)}^{\mathrm{d}}$	2,557	2,178	1,622	1,663	2,040

$\text{Distance to roads (m)}^{\mathrm{e}}$	855.7	622.2	295.6	107.5	240

$\text{Basal area impact }D_{B}$	1.6	1.8	1.6	2.3	2.4

$\text{Habitation impact }D_{H}$	1.4	1.6	2.2	2.2	1.8

$\text{Road impact }D_{R}$	3.6	4	11.2	21.5	24.3

$\text{Disturbance regime }D_{B}+D_{H}+D_{R}$	6.6	7.8	15	26	34.3


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.

	 Grade	Number ofstudents	 Percent

	5	6	7	8	9

PSP from 5 to 9	1	1	1	1	1	23	16

Movement out of PSP	1	1	1	1	0	1	.5

1	1	1	0	0	4	3

1	1	0	0	0	5	4

1	0	0	0	0	4	3

Movement into PSP	0	1	1	1	1	10	7

0	0	1	1	1	8	5.5

0	0	0	1	1	3	2

0	0	0	0	1	3	2

Never in PSP	0	0	0	0	0	46	33

Various patterns of zeros and onesending in one	10	7

Various patterns of zeros and onesending in zero	24	17

					141	100


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.

Grade	Subject	Group	Statistic	2009 (Placeb

	Math	All	Difference	0.02

	p-value	0.30

	Black	Difference	0.04

	p-value	0.32

	Highpoverty	Difference	0.04

	p-value	0.10

	Reading	All	Difference	0.05

	p-value	0.00

	Black	Difference	0.09

	p-value	0.02

	Highpoverty	Difference	0.05

	p-value	0.00


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.

Farmer name / fieldSourcelocator as receied	Season code asKASPPA codeVarietyassigned for ELISA or equivalent	Number of tubers	Bacterial Wiltpositive tubers	% Infection

Boshi Alfred	KASPPA $1^{\text {st }}$	1	001	Victoria	250	2	0.8

Boshi Alfred 7b	KASPPA $1^{\text {st }}$	2	001	Victoria	250	2	0.8

Chemutia Fred 2.5b	KASPPA $1^{\text {st }}$	3	002	Victoria	500	2	0.4

Chemutia Fred 7.5b	KASPPA $1^{\text {st }}$	4	002	Victoria	500	2	0.4

Chemusto Wilson	KASPFA $1^{\text {st }}$	14	003	Victoria	500	11	2.2

Cheruto Edward	KASPPA $1^{\text {st }}$	5	004	Victoria	500	0	0

Kaptekin Miriamlb	KASPPA $1^{\text {st }}$	6	005	Victoria	500	0	0

Kaptekin Miriam 7b	KASPPA $1^{\text {st }}$	7	005	#################

Kwemoi Rose	KASPPA $1^{\text {st }}$	11	006	Victoria	500	0	0

Labou Juliet	KASPPA $1^{\text {st }}$	10	007	Victoria	500	4	0.8

Malinga DickSomikwa Scovia (1）	KASPFA $1^{\text {st }}$	12	008	Victoria	500	2	0.4

6b	KASPPA $1^{\text {st }}$	8	009	Victoria	500	0	0

Somikwa Scovia 23b	KASPFA $1^{\text {st }}$	9	009	Victoria	500	2	0.4

Takwar Charles	KASPPA $1^{\text {st }}$	13	010	Victoria	500	0	0

Chemutai Phyllis	KASPPA $1^{\text {st }}$	No code	011	Victoria	500	0	0

Sub total/mean	6500	27	0.42

Cheruto Edward	KASP A $2^{\text {nd }}$	15	004	Victoria	250	0	0

Kwemoi Rose	KASPPA $2^{\text {nd }}$	16	006	Victoria	500	0	0

Takwar Charles	KASPPA $2^{\text {nd }}$	17	010	Victoria	500	2	0.4

Sub total/mean	1250	2	0.16

Total/mean	KASPPA Level	7750	29	0.37

Juliet Labou	UNSPPA	18	No code

Wilson Chemusto	UNSPPA	19	No code	Victoria	500	1	0.2

Total/mean	UNSPPA level	500	1	0.20


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.

U		E

	NL	NM	NS	Z	PS	PM	PL

CE	NL	NL	NL	NL	NL	NM	NS	Z

NM	NL	NL	NL	NM	NS	Z	PS

NS	NL	NL	NM	NS	Z	PS	PM

Z	NL	NM	NS	Z	PS	PM	PL

PS	NM	NS	Z	PS	PM	PL	PL

PM	NS	Z	PS	PM	PL	PL	PL

PL	Z	PS	PM	PL	PL	PL	PL


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.

Forces andtorques	Symbols	Equations

Normal elastic force	$\mathbf{f}_{cn,ij}$	$-\frac{4}{3}E^{*}\sqrt{R^{*}}\delta_{n}^{3/2}\mathbf{n}$

Normal damping force	$\mathbf{f}_{dn,ij}$	$-c_n\left(8m_{ij}E^*\sqrt{R^*\delta_n}\right)^{1/2}\mathbf{V}_{n,ij}$

Tangential elastic force	$\mathbf{f}_{ct,ij}$	$-\mu_s|\mathbf{f}_{cn,ij}|\left(1-\left(1-\delta_t/\delta_{t,max}\right)^{3/2}\right)\hat{\mathbf{\delta}}_t\quad\left(\delta_t{<}\delta_{t,max}\right)$

Tangential damping force	$\mathbf{f}_{dt,ij}$	$-c_{t}\left(6\mu_{s}m_{ij}\left|\mathbf{f}_{cn,ij}\right|\sqrt{1-|\mathbf{v}_{t}|/\delta_{t,max}}/\delta_{t,max}\right)^{1/2}\mathbf{V}_{t,ij}\quad\left(\delta_{t}<\delta_{t,max}\right)$

Coulumb friction force	$\mathbf{f}_{t,ij}$	$-\mu_{s}|\mathbf{f}_{cn,ij}|\hat{\delta}_{t}\quad(\delta_{t}\geq\delta_{t,\max})$

Torque by tangential forces	$\mathbf{M}_{t,ij}$	$\mathbf{R}_{ij}\times(\mathbf{f}_{ct,ij}+\mathbf{f}_{dt,ij})$

Rolling friction torque	$\mathbf{M}_{r,ij}$	$\mu_{r,ij}|\mathbf{f}_{n,ij}|\hat{\mathbf{\omega}}_{t,ij}^{n}$

$\text{where R* is the reduced radius of the particle i and j at the contact point.}\frac{1}{R^{*}}=\frac{1}{|\mathbf{R}_{i}|}+\frac{1}{|\mathbf{R}_{j}|},E^{*}=\frac{E}{2(1-\nu^{2})^{*}},\hat{\boldsymbol{\omega}}_{t,j,j}=\frac{\boldsymbol{\phi}_{i,j}}{\left|\boldsymbol{\omega}_{i,j}\right|},\boldsymbol{\delta}_{t}=\frac{\boldsymbol{b}_{j}}{|\mathbf{\omega}_{t,j}|},\delta_{t,\max}=\mu_{s}\frac{2-\nu}{2(1-\nu)}\delta_{n},\mathbf{V}_{ij}=\mathbf{V}_{j}-\mathbf{V}_{i}+\mathbf{\omega}_{j}\times\mathbf{R}_{j}-\mathbf{\omega}_{i}\times\mathbf{R}_{i},\mathbf{V}_{n,ij}=(\mathbf{V}_{ij}\cdot\\~~~\mathbf{n})\cdot \mathbf{n},\mathbf{V}_{t,ij}=(\mathbf{V}_{ij}\times\mathbf{n})\times\mathbf{n}\text{ Note that tangential forces }(\mathbf{f}_{ct,ij}+\mathbf{f}_{dt,ij})\text{ should be replaced by }\mathbf{f}_{t,ij}\text{ when }\delta_{t}\geq\delta_{t,max}.$


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.

Parameters	Bldg-1

No.of Floor	3

Total Area	4075 $m^2$

Floor Height	3.7 m

Orientation	East to West

External walls	200 mm concrete masonry units (CMU) block-24 mm ofplaster inside and outside

Wall area	North: 485 $m^2$ East: 300 $m^2$ South 585 $m^2$ West: 300 $m^2$

Internal wall	2 × 25 mm gypsum plaster with 100 mm cavity

Roof	200 mm concrete, slab 50 mm screed, 50 mm sand and 10 mmceramic tiles

WWR	North: 0.37 East: 0.30 South: 0.24 West: 0.30

Glazing	6 mm double reflective glass

Glazing Area	North: 285 $m^2$ East: 125 $m^2$ South 185 $m^2$ West: 125$m^2$

Infiltration rate	5.0 $m^3$/h/$m^2$

Ventilation rate	7.5 L/s/person

ThermalZones	Multi-zones

Equipment	20 W/$m^2$

Lighting	18 W/$m^2$

HVAC	Central

Set point	(22-24 °C) Summer

temperature	(20-22 °C) Winter

Occupancy	4.5 $m^2$/p


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.

Sensory	 Symptomaticamplitude (μV)	Symptomaticlatency (ms)	 Recoveryamplitude (μV)	 Recoverylatency (ms)

Right sural	15.1	2.5	13.7	1.9

Left sural	14.6	2.5	12.5	1.6

Right median	3.0*	2.8	2.5*	2.9

Left median	2.9*	3.1	10.3*	3.0

Right ulnar	3.4*	2.6	7.0*	2.6

Left ulnar	3.4*	2.8	6.8*	2.8

Motor	 Symptomaticamplitude (mV)	Symptomaticlatency (ms)	SymptomaticCV (m/s)	 Recoveryamplitude(mV)	 Recoverylatency (ms) 	RecoveryCV (m/s)

Right tibial	1.9*	21.1*	32.3*	4.3	17.1	38.1

Left tibial	2.1*	21.0*	34.6*	4.4	17.0 	37.7

Right median	5.5	9.0	49.5	9.8	8.8 	55.9

Left median	2.6*	9.4	50.0	9.5	8.6 	53.9

Right ulnar	10.5	9.4	57.5	9.2	10.4 	50.0

Left ulnar	11.8	9.3	55.6	10.4	9.8 	52.4


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	Model 2

Coeff	SE	Coeff	SE

Secondary and above	$ -0.11 $*	0.043	$-0.11$**	0.043

Interaction terms

$\mathrm{Male}\times\mathrm{education}$

Primary and below	$-$	$-$	$-0.33$**	0.13

Senior high/technical and above	$-$	$-$	0.12	0.15

$\text{Male }\times\text{urbanicity}$

Rural residence	$-$	$-$	$-$0.16	0.11

Urban residence and Hukou	$-$	$-$	$-0.31$**	0.1

$\mathrm{Education}\times\mathrm{urbanicity}$

$\text{Primary and below }\times\text{rural residence}$	$-$	$-$	0.036	0.1

$\text{Primary and below }\times\text{urban residence and Hukou}$	$-$	$-$	$-$0.09	0.11

$\text{Senior high/technical/tertiary }\times\text{rural residence}$	$-$	$-$	0.23	0.16

$\begin{aligned}&\text{Senior high/technical/tertiary }\times\text{urban residence and}\\&~~~\text{Hukou}\end{aligned}$	$-$	$-$	0.26*	0.12

$\text{Education }\times\text{urbanicity }\times\text{male}$

$\text{Primary and below }\times\text{rural residence }\times\text{male}$	$-$	$-$	$-$0.12	0.15

$\begin{aligned}&\text{Primary and below }\times\text{urban residence and}\\&~~\text{Hukou }\times\text{male}\end{aligned}$	$-$	$-$	0.26	0.17

Senior high/technical/tertiary $\times$ ruralresidence $\times$ male	$-$	$-$	$-$0.13	0.2

Senior high/technical/tertiary $\times$ urban residence andHukou $\times$ male	$-$	$-$	$-$0.03	0.16

$-$2 Pseudo LL	16,089.6		16,007

BIC	16,340.8		16,378.9

Number of cases	23,186		23,186


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.

Cross	Proposed parentalgenotypes	S%	R%	Progeny phenotypes	% Recombination

♀	♂

	♀	♂	+	dt	$w^{r e}$	$\begin{gathered}d t \\w^{r e}\end{gathered}$	+	dt	$w^{r e}$	$\begin{gathered}d t \\w^{r e}\end{gathered}$	$d t-w^{r e}$	$w^{r e}-M$	$d t-M$

I	$\frac{d t \quad w^{r e}}{d t \quad w^{r e}} \times \frac{d t \quad w^{r e}}{+\quad+} \alpha$	2.8	67.3	52	2	72	230	318	93	1	38	20.8**	$11.5^{* *}$	$31.6^{* *}$

J	$\frac{d t \quad w^{r e}}{d t \quad w^{r e}} \times \frac{d t \quad w^{r e}}{+\quad+} \beta$	6.9	70.9	161	44	46	173	173	38	32	164	19.2**	51.7	47.4


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.


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.

Declination (degrees)	Dates (from 1964 Nautical Almanac)

23.5 	21 June

20	24 July 	20 May

15	12 August	1 May

10	27 August 	16 April

5	10 September 	2 April

0	23 September 	21 March

-5	6 October 	8 March

-10	19 October	24 February

-15	3 November 	9 February

-20	22 November	22 January

-23.5	22 December


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.

Liquids	Flash point in air(present work) (℃)	Flash point in oxygen(present work) (℃)	Flash point in air(reference) (℃)

Methyl alcohol	7.0 to 7.7	7.3 to 8.1	11.0 [10]

Ethyl alcohol	11.3$12.4^a$	11.0 to 11.1	13.0 [10]

Isopropyl alcohol	10.5 to 10.6	8.7 to 9.6	12.0 [10]

Toluene	3.9 to 4.0	1.9 to 2.6	4.0 [10]

Tetrahydrofuran	-20.8 to -20.6	-20.6	-17.0 [10]

Ethyl acetate	-6.9 to -6.8	-6.4 to -5.9	-4.0 [10]

Dichloromethane	$^{\_\mathrm{b}}$	-7.1	30.0 [15]

			102.8 [16]


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.

#	Study	Location	N	Sample Descriptor	[Agerange]MeanAge, SD	%racialorethnicminorities	Cross-Sectionalv.longitudinal v.RCT	Approach

Adult Sample Populations

ICD Code for Gender Dysphoria

(1)	Blosnich et al.(2013)	U.S.-wide	1326	Veterans with ICD Code for genderidentity disorder (FY00-FY11)	n.r.$^b$	n.r.	Cross-Sectional	ChartReview

(2)	Blosnich et al.(2014)	U.S.-wide	5117	Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY98-FY13)	n.r.$^b$	n.r.	Cross-Sectional	ChartReview

(3)	Blosnich et al.(2016)	U.S.-wide	1640	Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism with 1 past-yearmedical visit (FY13)	[n.r.] 54.8,13.2	18.8	Cross-Sectional	ChartReview

(4)	Brown& Jones(2014)*	U.S.-wide	5135	Veterans with ICD Code for genderidentity disorder (FY96-FY13)	White TG:[n.r.]56.7,13.2Black TG:[n.r.]51.2,13.9	7.5	Cross-Sectional	ChartReview

(5)	Brown& Jones(2015)	U.S.-wide	4793	Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY00-FY13)	[n.r.] 55.5,13.5	19.4	Cross-Sectional	ChartReview

(6)	Brown& Jones(2016)*	U.S.-wide	5135	Veterans with ICD Codes for genderidentity disorder, transsexualism, ortransvestic fetishism (FY96-FY13)	[n.r.] 55.8,13.5	19.8	Cross-Sectional	ChartReview

(7)	Lindsayet al.(2016)	U.S.-wide	332	Veterans who served in Afghanistan withICD Codes for gender identity disorder,transsexualism, transsexualism withasexual history; transsexual withhomosexual history; transsexual withheterosexual history (FY00-FY13)	[n.r.] 33.9,8	27.5	Cross-Sectional	ChartReview

(8)	Reisneret al.(2014)	Boston, MA	23	Transmen who tested positive forsexually transmitted infection	[n.r.] 32,7.3	52.2	Cross-Sectional	ChartReview

Presenting for Services

(9)	Keo-Meier etal.(2015)	Houston, TX	43	Transmen presenting for hormonetreatment	[n.r.] 26.6,8.4	26	Prospective	Survey pre-posttreatment

(10)	Leinunget al.(2013)	Albany, NY	$ \begin{aligned} & 242\\ & (n=192\\ & T W, 50 \mathrm{~TM}) \end{aligned} $	Transgender clients who receivedhormone treatments	[n.r.] 36.3,12.3TW: [n.r.]38, 12.5TM: [n.r.]29.9, 9.9	n.r.	Cross-Sectional	ChartReview

(11)	Nemoto et al.(2005)	San Francisco, CA	109	Transwomen who participated in aworkshop series (health, mental health,substance use, connection to services)hosted by community organization	n.r.$^b$	n.r.	Prospective	Survey pre-posttreatment

Presenting for Services; Self-Identified

(12)	Cole etal.(1997)	n.r.	435	Transgender clients who presented forgender-related services	TW: [n.r.]32,9TM: [n.r.]30,8	n.r.	Cross-Sectional	Chartreview

Self-Identified


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.

property	fluid	T, °C	pressure effect	ref

one-phaseregion	two-phaseregion

${W_o}^{sat}$	ethanepropane	37	$na^a$	large	32, this work

25	na	large	19, this work

app hydro-dynamic radius	ethanepropane	37	small	see text	45

	25	small	see text	45

$λ_{max}$ Of pyridineN-oxide	ethane	37	small	large	18, this work

solubility oftryptophan	ethane	37	small	large	18

FTIR spectra ofwater	propane	25	small	notstudied	19

$λ_{max}$ of thymol blue	ethane	25,37	small	notstudied	26

emission max ofANS	ethanepropane	37	small	large	this work

	25	small	large	this work

emission intensity ofANS	ethanepropane	37	small	large	this work

	25	small	large	this work


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.

Vessel	 No.Cats	Superior MesentericArtery	Diameter

Flow,ml/min perkg	 Escape in-dex, resist-ance	Basel,$\mathbf{\mu m}$	 Constric-tion, % con-trol	Escape, $\%$control	 Escape in-dex,diame-ter

Small mes-enteric ar-tery	6	24.5	0.53	727.5	73.0	93.7	0.81

±4.9	±0.12	±27.0	±4.5	±4.0	±0.14

Muscle ar-teriole	7	21.9	0.62	34.5	75.9	106.9	1.28

±4.6	±0.09	±4.6	±4.9	±4.8	±0.16

Submucosalarteriole	11	24.5	0.66	41.2	72.7	92.6	0.67

±5.4	±0.09	±2.9	±4.6	±4.0	±0.09


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.