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

$ \mathrm{Min}_{i}^{L}/\mathrm{Max}_{i}^{L} $	Minimum/maximum longitudinal centre of gravity at displacement interval $i \in \mathcal{I}$

$\mathrm{D}_{b}^{\{L, V\}}$	Longitudinal $(L)$, and Vertical $(V)$ centre of gravity of block $b \in \mathcal{B}$

$\quad D_{t}^{\{L, V, T\}}$	Longitudinal $(L)$, Vertical $(V)$, and transversal $(T)$ centre of gravity of ballast tank $t \in \mathcal{T}$

Max$^{V}$	Maximum vertical moment possible for the vessel

 $LM^{O}$ 	Longitudinal moment of the empty vessel including constant weights

 $VM^{O}$ 	Vertical moment of the empty vessel including constant weights

 $TM^{O}$ 	Transversal moment of the empty vessel including constant weights

Bending/shearing parameters

$ {W_{f\alpha}^{S}} $	Constant weights fore or aft of frame $f \in \mathcal{F}$

$G_{\{b,t,bs\}f}^\alpha$	Fraction of block $b$, ballast tank $t$, and buoyancy section between bonjean stations $b s$ and $b s+1$that lies fore or aft frame $f$

$ W_{f\alpha}^{B} $	Bending components of the constant weight fore or aft of frame $f \in \mathcal{F}$

$D_b^{Bs}$	Distance in meters between bonjean stations $bs$ and $bs+1$ multiplied by the density of water

$ \quad A_{\{b, t, b s\} f}^{\alpha} $	Fore or aft distance from frame $f$ to the longitudinal centre of gravity of block $b$, ballast tank $t$,buoyancy section between bonjean stations $bs$ and $bs+1$

$G_{f}$	Fore-based fraction of frame $f \in \mathcal{F}$, where $G_{f} \in[0 ; 1], G_{f}=1$ when $f$ is the first frame at the bow,and $G_{f}=0$ when $f$ is the first frame at the stern

$ \operatorname{Min}_{f}^{\{S,B\}} $	Lower bound for shear force $(S)$ and bending moment $(B)$ at frame $f \in \mathcal{F}$

$\operatorname{Max}_{f}^{\{S, B\}}$	Upper bound for shear force $(S)$ and bending moment $(B)$ at frame $f \in \mathcal{F}$


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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	检查项目	扣分标准	应得分数	扣减分数	实得分数

		小计		60

7	一般项目	班前安全活动	 未建立班前安全活动制度,扣 10 分,班前安全活动无记录,扣 2 分	10

8	特种作业持证上岗	一人未经培训从事特种作业，扣 4 分一人未持操作证上岗，扣 2 分	10

9	工伤事故处理	工伤事故未按规定报告,扣3 ~5 分工伤事故未按事故调查分析规定处理,扣 10 分未建立工伤事故档案,扣 4 分	10

10	安全标志	无现场安全标志布置平面图，扣 5 分现场未按安全标志总平面图设置安全标志的，扣 5 分	10

	小计		40

检查项目合计		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.


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


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


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


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

Statistical parameters

Training set

$R^{2}$	0.9983

AAPRE	0.6766

APRE	-0.1140

RMSE	0.0104

Number of data points	1482

Validation set

$R^{2}$	0.9991

AAPRE	0.6233

APRE	-0.1976

RMSE	0.0077

Number of data points	318

Test set

$R^{2}$	0.9986

AAPRE	0.7602

APRE	-0.1896

RMSE	0.0103

Number of data points	318

Total

$R^{2}$	0.9984

AAPRE	0.6812

APRE	-0.1379

RMSE	0.0100

Number of data points	2118


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

Specimen	Stiffness	Strength

$K_{ini} \ (kNm/rad)$	$K_{ini}/({EI}_{b}/{L}_{b})$	Classification	$M_{max} \ (kNm)$	$M_{max}/M_{b,pl}$	Classification

D8L290W8	2958	3.72	Semi-rigid	12.9	0.17	Nominal-pinned

D8L240W16	3715	4.67	Semi-rigid	17.7	0.24	Nominal-pinned

D12L290W8	6828	8.59	$Semi-rigid^{a}$	27.5	0.37	Partial-strength

D8L240	1788	2.25	Semi-rigid	9.5	0.13	Nominal-pinned


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


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


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


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


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

Mass of Half Body	M${_B}$	95.7 kg

Mass of Wheelset	M${_W}$	7.4 kg

Inertia Moment of Half Body	I${_B}$	$3.1 \mathrm{~kgm}^{2}$

Inertia Moment of Wheelset	I${_W}$	$ 0.17 ~kgm^2 $

Dimensions(see Fig. 1, 2)	b${_1}$	11.0 cm

$b_2$	19.3 cm

h${_1}$	23.3 cm

h${_2}$	6.4 cm

r	8.3 cm

y${_G}$	0.0 cm

l${_1}$	25.5 cm

l${_2}$	25.5 cm


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


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


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


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


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


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


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


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


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


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


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


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

Practice	$\mathrm{Type~^a}$	Weight %	Farmers (n = 265)

No. of Respondents	% of Total

Incorporation of crop varieties resistant to droughts	Cr	85.7	2	0.7

Use of drip and sprinkler	I	83.3	31	11.7

Incorporation of crops resistant to high temperatures	Cr	80.9	2	0.7

Changes in planting and harvesting dates	Cr	78.6	110	41.5

Afforestation	WSC	76.2	5	1.9

Zero tillage	WSC	69.0	3	1.1

Use of water accumulation systems	I	66.7	38	14.3

Use of green manure	WSC	66.0	33	12.4

Use of mulching	WSC	61.9	24	9.0

Use of cover crops	WSC	61.9	16	6.0

Other WSC practices	WSC	61.9	16	6.0

Use of hoses and pumps for irrigation	I	59.5	52	19.6

Implementation of infiltration trenches	WSC	57.1	19	7.1

Cleaning of canals	WSC	54.8	60	22.6


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


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


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


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


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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	Refs

(R1)	$ \mathrm{O}_{2}+\mathrm{h} \nu \rightarrow \mathrm{O}+\mathrm{O} $	1

(R2)	the $\mathrm{O}_{3}+\mathrm{h} \nu \rightarrow \mathrm{O}\left({ }^{1} \mathrm{D}\right)+\mathrm{O}_{2}$	1

(R3)	$ \mathrm{O}_{3}+\mathrm{h}\nu\rightarrow\mathrm{O}+\mathrm{O}_{2} $ 	1

(R4)	 $N_{2} O+h \nu \rightarrow O\left({ }^{1} D\right)+N_{2}$ 	1

(R5)	$NO~+~hv~→~N+O$	1

(R6)	$ \mathrm{NO}_{2}+\mathrm{h} \nu+\mathrm{NO}+\mathrm{O} $	1

(R7)	$ \mathrm{N}_{2} \mathrm{O}_{5}+\mathrm{h} \nu \rightarrow \mathrm{NO}_{2}+\mathrm{NO}_{3} $	1

(R8)	$ HNO_{3}+h\nu\rightarrow NO_{2}+OH $	1

(R9)	$\mathrm{NO}_{3}+\mathrm{h} \nu \rightarrow 0.89 \mathrm{NO}_{2}+0.11 \mathrm{NO}+0.89 \mathrm{O}_{3}$	2

(R10)	$HO_2NO_2+hv~→~NO_2+HO_2$	1

(R11)	 $\mathrm{CH}_{3}\mathrm{OOH}+\mathrm{h}\nu\rightarrow\mathrm{CH}_{2}\mathrm{O}+\mathrm{HO}_{2}+\mathrm{OH}$ 	1

(R12)	 $\mathrm{CH}_{2} \mathrm{O}+\mathrm{h} \nu \rightarrow \mathrm{CO}+2 \mathrm{HO}_{2}$ 	1

(R13)	$ CH_2O+h\nu\rightarrow CO+H_2 $	1

(R14)	$H_2O+hv→OH+HO_2$	1

(R15)	$\mathrm{H_2O_2+h\nu\to OH+OH}$	1

(R16)	$ \mathrm{CH}_{3} \mathrm{CHO}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{3} \mathrm{O}_{2}+\mathrm{CO}+\mathrm{HO}_{2} $	2

(R17)	$ \mathrm{C}_{3} \mathrm{H}_{6} \mathrm{OOOH}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{3} \mathrm{CHO}+\mathrm{CH}_{2} \mathrm{O}+\mathrm{HO}_{2}+\mathrm{OH} $	3

(R18)	$ \mathrm{CH}_{3} \mathrm{COOH}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{3} \mathrm{O}_{2}+\mathrm{OH} $	3

(R19)	$ \mathrm{PAN}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{3} \mathrm{CO}_{3}+\mathrm{NO}_{2} $	1

(R20)	MPAN $+\mathrm{h} \nu \rightarrow \mathrm{MCO}_{3}+\mathrm{NO}_{2}$	3

(R21)	$ \mathrm{CH}_{2} \mathrm{OHCHO}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{2} \mathrm{O}+\mathrm{CO}+2 \mathrm{HO}_{2} $	3

(R22)	$\mathrm{MACR}+\mathrm{h} \nu \rightarrow \mathrm{MCO}_{3}+\mathrm{CO}+0.6 \mathrm{CH}_{3} \mathrm{COCHO}+0.4 \mathrm{CH}_{3} \mathrm{CO}_{3}+0.4 \mathrm{CH}_{2} \mathrm{O}+2.6 \mathrm{HO}_{2}$	3

(R23)	$ MVK+h\nu\rightarrow CH_3 CO_3+HO_2+0.25 CH_2 O+0.25 CO $	3

(R24)	 $\mathrm{C}_{2}\mathrm{H}_{5}\mathrm{OOH}+\mathrm{h}\nu\rightarrow\mathrm{CH}_{3}\mathrm{CHO}+\mathrm{HO}_{2}+\mathrm{OH}$ 	3

(R25)	$C_{3} H_{7} O O H+h \nu \rightarrow 0.82 \mathrm{CH}_{3} \mathrm{COCH}_{3}+O H+H O_{2}$	4

(R26)	$ CH_3COCH_2OOH+hl\nu\rightarrow CH_3COCH_2O+OH $ 	4

(R27)	$ \mathrm{CH}_{3} \mathrm{COCH}_{3}+\mathrm{h} \nu \rightarrow \mathrm{CH}_{3} \mathrm{CO}_{3}+\mathrm{CH}_{3} \mathrm{O}_{2} $	5

(R28)	$ CH_3 COCHO+ h\nu\rightarrow CH_3 CO_3+ CO+ HO_2 $	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.

Penetrationtime (s)	Waterrepellency	Equivalent θ* (degrees)

Sand	Loam	Siltloam

<5	Hydrophilic	0	0-20	0-20

6-60	Slight	0-80$^a$	20-100	20-60

60-600	Moderate	80-110	100-120	60-120

600-3600	Severe

>3600	Extreme	>110	>120	>130


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


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

Table 4-Summary of SMR in the FBMR with tubular$Pd-Ag/ZrO_2$ membranes prepared atTECNALIA at 1.3 bara several temperatures.

Day of membrane tests	Day 1	Day 2

System pressure (bar)	1.3	1.3	1.3	1.3

System temperature(°C)	500	550	550	600

$CH_4$ eq.Conversion (%)	55.7	73.0	73.0	88.1

u/$u_{mf}$(-)	1.3	1.3	1.3	1.3

Volumetric flow rate in reactor(l/min)	20.9	22.3	22.3	24

$CH_4$ conversion (%)	55.5	73.1	76.4	89.3

$Exhaust/ H_2/CO$ ratio (-)	22.6	16.1	15.8	11

CO selectivity(-)	0.12	0.16	0.18	0.25

$H_2$ selectivity (-)	3.85	3.79	3.83	3.74

$H_2$ recovery factor (HRF) (-)	0.17	0.22	0.2	0.23

$H_2$ separation factor (HSF) (-)	0.31	0.31	0.28	0.28

Hydrogen permeate impurity (ppm CO)	50	70	120	200

Hydrogen permeate flow (Nml/min)	550	740	700	800


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


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

 时间项目	2012 年度	2013 年度	合 计

第二季度	第三季度	第四季度	第一季度

直接人工预算总工时(小时)	12 100	(略)	(略)	11 720	48 420

变动制造费用

间接人工费用	A	(略)	(略)	B	(略)

水电与维修费用	C	(略)	(略)	D	(略)

小计	(略)	(略)	(略)	(略)	493 884

固定制造费用

设备租金	E	(略)	(略)	(略)	(略)

管理人员工资	F	(略)	(略)	(略)	(略)

小计	(略)	(略)	(略)	(略)	(略)

制造费用合计	171 700	(略)	(略)	(略)	687 004


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

类 别	关 键 字	说 明

数据类型	char	字符型

const	表明这个量在程序执行过程中不可变

double	双精度实型

enum	枚举型

float	单精度实型

int	整型

long	长整型

short	短整型

signed	有符号类型

struct	结构体

union	共用体

unsigned	无符号类型

void	空类型

volatile	表明这个量在程序执行中可被隐含地改变

typedef	定义同义数据类型

存储类型	auto	自动变量

extern	外部变量

register	寄存器变量

static	静态变量

流程控制	break	跳出循环或 switch 语句

case	switch 语句中的分支选择

continue	跳出本次循环

default	switch 语句中的其余情况标号

do	在do...while循环中的循环起始标记

else	if 语句中的另一种选择

for	for循环语句

goto	跳转到标号指定的语句

if	语句的执行条件

return	函数调用的返回

switch	从所有列出的选择分支中作出选择

while	在 while 和 do... while 循环中语句的执行条件

运算符	sizoof	计算字节数


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


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

总部	分部	办事处、事务所	职能定义

总裁、董事长			公司的代表

本部长、董事			 董事会成员,负责全公司的管理与经营

 总辖技师长(总工程师)、总辖计划长、总辖业务长统括部长副统括部长、中心主任、理事	分部长副分部长理事	所长理事	高级管理人员,负责整个部门的管理与经营

部长、副理事	 部长、分部次长、副理事	 部长、次长、副理事	中高级管理人员并参与经营

副部长	 副部长、分部长代理	 副部长、所长代理	 作为上一层级的助手参与管理与经营

主席课长	主席课长	主席课长	 项目负责人,作为公司代表与业主等的沟通

课长	课长	课长	 设计小组的主管,日常业务的总负责

课长代理	课长代理	课长代理	 高级专业职员，设计的中坚力量，有专业执照

主任	主任	主任	有一定经验的中级技术职员

一般职员	一般职员	一般职员	初级技术职员，无专业执照


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


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

Outboard TEF Control Function	$δ_1$	$δ_1$	$δ_0$	$δ_0$

Objective function	$J_2$	$J_2+θ_p$	$J_2$	$J_2+θ_p$

Pitch bearing stiffness (ft-lb/rad)	1161	1161	934	934

[Torsion frequency] (/rev)	[1.38]	[1.38]	[1.31]	[1.31]

Blade pitch index (deg)	22.3	24.3	25.8	27.8

Inboard TEF chord	0.235c	0.235c	0.238c	0.238c

Outboard TEF chord	0.228c	0.228c	0.205c	0.205c

Radial location of inboardTEF center	0.775R	0.775R	0.775R	0.775R

Radial location of outboardTEF center	0.925R	0.925R	0.925R	0.925R


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


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

Current injection	Voltage measurement

Number of channels	16 independent channels	Number of channels	80 independent channels

Resolution	12 bits	ADC resolution	14 bits

Frequency range	1 kHz-120 kHz	ADC input voltage	$\pm$1.25V,$\pm$2.5V,

Amplitude range	0-5 mA	range	$\pm$5.0V,$\pm$10V

Waveform type	Arbitrary	PGA gain	1,10 or 100

Output impedance	17 $\mathrm{M}{\Omega}$ at 15 kHz	Demodulation	Digital

Target resistance	$50~\Omega-20~k\Omega$	Sensitivity	0.15 mV at PGA gain =1at input voltage $\text{土}$1.25V


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


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


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

Table 2. Solvolysis of AB.

Eq.	Solvolysis	Reaction	GHSC $[\mathrm{wt}\%\mathrm{H}_2]$

5	hydrolysis	$NH_3BH_3+2H_2O\rightarrow NH_4^++BO_2^-+3H_2$	9.0

6	hydrolysis	$NH_3BH_3+4H_2O\rightarrow NH_4^++B(OH)_4^-+3H_2$	5.8

7	hydrolysis	$\mathrm{NH_{3}BH_{3}+(2+x)H_{2}O\rightarrow NH_{4}^{+}+B(OH)_{4}^{-}+3H_{2}+(x-4)H_{2}O}$	<5.8

8	methanolysis	$NH_3BH_3+4CH_3OH\to NH_4^++B(OCH_3)_4^-+3H_2$	3.8

9	$methanolysis^{[\mathrm{a}]}$	$5NH_{3}BH_{3}+22CH_{3}OH\to[NH_{4}B(OCH_{3})_{4}]_{5}\cdot2CH_{3}OH+15H_{2}$	3.5

[a] See Ref. [7b].


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


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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	AM1	B3LYP

TS	Product	Frequency 	TS	Product	Frequency

M1 neutral $+\mathrm{H}_{2} \mathrm{O}$	-	-	-	304	4	-629

M1 neutral	220	209	-247	219	16	-164

M1 N-protonated	58	-7	-469	74	64	-186

M1 O-protonated	80	2	-465	64	33	-117

M2 neutral	172	151	-196	186	4	-81

M2 N-protonated	32	-30	-387	79	60	-85

M2 O-protonated	 42	-77	-419	-	-	-


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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國別代碼	中文國別(地區)名稱	英文國別(地區)名稱	洲别名稱

307	丹麥	Denmark	歐洲

309	芬蘭	Finland	歐洲

310	法國	France	歐洲

311	希臘	Greece	歐洲

312	教廷	Holy See	歐洲

313	匈牙利	Hungary	歐洲

314	冰島	Iceland	歐洲

315	愛爾蘭	Ireland	歐洲

316	義大利	Italy	歐洲

317	列支敦斯登	Liechtenstein	歐洲

318	盧森堡	Luxembourg	歐洲

319	馬爾他	Malta	歐洲

320	摩納哥	Monaco	歐洲

321	荷蘭	Netherlands	歐洲

322	挪威	Norway	歐洲

323	波蘭	Poland	歐洲

324	葡萄牙	Portugal	歐洲

325	羅馬尼亞	Romania	歐洲

326	聖馬利諾	San Marino	歐洲

327	西班牙	Spain	歐洲

328	瑞典	Sweden	歐洲

329	瑞士	Switzerland	歐洲

330	英國	United Kingdom	歐洲

332	德國	Germany	歐洲

334	克羅埃西亞	Croatia	歐洲

344	愛沙尼亞	Estonia	歐洲

348	拉脫維亞	Latvia	歐洲


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

国家和地 区	Country orArea	货币名称	货币符号	辅币进位制

中文	英文	原 有旧符号	国际标准编码	中文	英文

中国	China	人民币元	Renminbi Yuan	RMB¥	CNY	元 = 10 角 =100分	Chinese Yuan=10Jiao=100Fen

中国香港	HongKong,China	港元	HongKong Dollars	HK $	HKD	港元=100 仙	Hong Kong Dollar= 100 Cents

中国澳门	Macao,China	澳门元	Macao pataca	PAT. ; P.	MOP	澳 门 元 = 100仙	Macao Pataca =100 Cents

中国台湾	Taiwan,China	新台币	New Taiwan Dollar	NT$、NTD	TWD	新 台 币 = 100分	New Taiwan Dollar=100 Cents

阿富汗	Afghanistan	阿富汗尼	Afghani	Af	AFA	阿富汗尼 = 100普尔	Afghani=100Puls

亚美尼亚	Armenia	亚美尼亚德拉姆	Armenian Dram	DRAM	AMD	德 拉 姆 = 100鲁马	 Dram=100Luma

阿塞拜疆	Azerbaijan	阿塞拜疆马纳特	Azerbaijani Manat	AZM	AZM	马 纳 特 = 100开比克	Azerbaijan Manat=100Gepik

巴林	Bahrain	巴林第纳尔	Bahrain Dinar	BD	BHD	巴林第纳尔 =100费尔斯	Bahrain Dinar =100Fils

孟加拉国	Bangladesh	孟加拉塔卡	Bangladeshi Taka	TK	BDT	塔 卡 = 100 波依夏	Taka=100Poisha

不丹	Bhutan	不丹努尔特鲁姆	Bhutanese Ngul-trum	Nu	BTN	努 扎 姆 = 100吉扎姆	Ngultrum = 100Chhetrum

文莱	 BruneiDarussalam	文莱林吉特	Brunei Ringgit	BR $	BND	文莱林吉特 =100 分	Brunei Ringgit =100Cents

柬埔寨	KingdomofCambodia	瑞尔	Camboddian Riel	CR; JRI.	KHR	瑞尔 = 10 角 =100 仙	Riel = 10Kak =100Sen

塞浦路斯	Cyprus	塞浦路斯镑	Cyprus Pund	£C.	CYP	塞浦路斯镑	Cyprus Pound


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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$ \begin{gathered} \text { boronic/borinic esters } \\ \mathrm{R}^{*} \mathrm{BO}_{2}\left(\mathrm{CH}_{3}\right)_{2} / \mathrm{R}_{2}{ }^{*} \mathrm{BOCH}_{3}, \mathrm{R}^{*}=\end{gathered} $	acetylenes $\mathrm{R}^{\star} \mathrm{C} \equiv \mathrm{CSiMe}_{3} / \mathrm{R}^{\star} \mathrm{C} \equiv \mathrm{CH}$	 config ofacetylenes	$\alpha^{23}{ }_{\mathrm{D}}$, deg ${ }^{d}$	% ee	yield, $\%$$\text{(isolated)}^f$

$ (R)-2-butyl^a $	1-(trimethylsilyl)-3-methyl-1-pentyne (13)	R	-26.2	≥99	70

(S)-3-methyl-2-butyl $^a$	1-(trimethylsilyl)-3,4-dimethyl-1-pentyne (14)	S	+16.7	≥99	64

(R)-3-lexyl $^{a}$	1-(trimethylsilyl)-3-ethyl-1-hexyne (15)	R	-4.3	≥99	73

(1S,2S)-trans-2-methylcyclopentyl $^{a}$	trans-(2-methylcyclopentyl)ethyne (18)	1S,2S	$+111.7^{e}$	≥99	62

$(1 S, 2 S)$-trans-2-phenylcyclopentyl ${ }^{a}$	trans-(2-phenylcyclopentyl)ethyne (19)	1S,2S	-170.2	≥99	59

(2S,3R)-isopinocampheyl$^b$	trans-isopinocampheylethyne (20)	$1 R, 2 R, 3 R, 5 S$	-43.2	≥99	75$^g$

$(2 R, 3 S)$-isopinocampheyl$^c$	trans-isopinocampheylethyne	$1 S, 2 S, 3 S, 5 R$	+43.1	≥99	74$^g$


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


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

	颁布时间	法规名称	制定部门

法律	1986. 4	《民法通则》	全国人大常委会

1995. 5	《商业银行法》	全国人大常委会

1995. 6	《担保法》	全国人大常委会

1999. 3	《合同法》	全国人大常委会

部门规章及规范性文件等	1996.	《贷款通则》	中国人民银行

1999. 5. 13	《关于国家助学贷款的管理规定(试行)》	中 国 人 民 银 行、教育部、财政部

1999	《国家助学贷款管理操作规程(试行)》	教育部

1999. 12. 23	《关于助学贷款管理的若干意见》	中 国 人 民 银 行、教育部、财政部

2000. 8. 26	《中国人民银行助学贷款管理办法》	中国人民银行

2000. 8. 22	《关于助学贷款管理的补充意见》	中 国 人 民 银 行、教育部、财政部


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


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

$DESCRIPTION:^{*}$	OPTION $RMN:^{*}$

Power Supply (Worldwide except India & China)	A9T80-60008


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


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


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


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

IndependentVariable	Pooling Over	df	N	$\chi^2$	p

configuration	none	12	1690	64.28	<.001	$***$

magnitude	point and type	2	1690	3.80	.06	~

point	magnitude and type	3	1690	17.37	<.001	$***$

type	magnitude and point	2	1690	13.66	.01	$**$

magnitude and type	point	4	1690	23.97	<.001	$***$

type and point	magnitude	6	1690	35.21	<.001	$***$

magnitude and point	type	6	1690	38.46	<.001	$***$


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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用药分组	病情	值	P值

轻	中	重	合计

T

C


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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Descriptor	Description

$\mathrm{TPSA}^{[a]}$	Topological polar surface area

HDon_$N{}^{[a]}$	Number of hydrogen bonding donors derived from the sum of nitrogen atoms in the molecule

$\mathrm{Eccentric}^{[a]}$	Molecular eccentricity

$\mathrm{InertiaX}^{[a,b]}$	Principal component of the inertia tensor in X-direction in $[\mathrm{Da}·Å^2]$

$\mathrm{Aspheric}^{[b]}$	Molecular asphericity

2DACorr_SigEN_$1^{[a]}$	2D autocorrelation weighted by σ atom electronegativity, where d = 0.

2DACorr_SigChg_$1^{[b]}$	2D autocorrelation weighted by σ atom charges, where d = 0.

2DACorr_SigChg_$5^{[b]}$	2D autocorrelation weighted by σ atom charges, where d = 4.

2DACorr_TotChg_$1^{[b]}$	2D autocorrelation weighted by total atom charges (sum of σ and π charges), where d = 0.

2DACorr_TotChg_$5^{[a,b]}$	2D autocorrelation weighted by total atom charges (sum of σ and π charges), where d = 4.

RDF_PiEN_$68^{[a]}$	Radial distribution functions weighted by π atom electronegativities, where r is in the range of 6.7-6.8 Å.

RDF_SigEN_$11^{[a]}$	Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 1.0-1.1 Å.

RDF_SigEN_$52^{[a]}$	Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 5.1-5.2 Å.

RDF_SigEN_$78^{[b]}$	Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 7.7-7.8 Å.

RDF_SigEN_$115^{[b]}$	Radial distribution functions weighted by σ atom electronegativities, where r is in the range of 11.4-11.5 Å.

RDF_LpEN_$37^{[b]}$	Radial distribution functions weighted by lone pair electronegativities, where r is in the range of 3.6-3.7 Å.

RDF_LpEN_$70^{[b]}$	Radial distribution functions weighted by lone pair electronegativities, where r is in the range of 6.9-7.0 Å.

RDF_PiChg_$76^{[a]}$	Radial distribution functions weighted by π atom charges, where r is in the range of 7.5-7.6 Å.

RDF_TotChg_$46^{[a]}$	Radial distribution functions weighted by the total atom charges (sum of σ and π charges), where r is in the rangeof 4.5-4.6 Å.

RDF_Ident_$124^{[b]}$	Radial distribution functions weighted by atom idendities, where r is in the range of 12.3-12.4 Å.

RDF_Polariz_$35^{[b]}$	Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 3.4-3.5 Å.

RDF_Polariz_$104^{[b]}$	Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 10.3-10.4 Å.

RDF_Polariz_$127^{[b]}$	Radial distribution functions weighted by effective atom polarizabilities, where r is in the range of 12.6-12.7 Å.


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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

$E_{act}$	Activation energy $(J~mol^{-1})$

f	$f = n_e F / \mathfrak{R} T (V^{-1})$

$f_{geo}$	Geometric factor $(m^2~m^{-3})$

F	Faraday's constant (96487 C $mol^{-1}$)

$i_0$	Exchange current density (A $m^{-2}$)

I	Operating current density (A $m^{-2}$)

$I_n$	The first kind of n-order modified Bessel function

j	Electrochemical reaction rate (A $m^{-3}$)

$k_{0,C},~k_{0,P}$	Dimensionless variable in Eq. (8) and (16)

$K_n$	The second kind of n-order modified Bessel function

l	Electrode thickness (m)

$n_e$	Electrons transferred per reacting molecule, $n_e = 2$

p	Pressure (Pa)

r	Radius (m)

$\mathfrak{R}$	Universal gas constant $(8.314J~mol^{-1}~K^{-1})$

T	Temperature (K)

x	Coordinates (m)

y	Dimensionless overpotential, y = fη

Greek

$\alpha$ 	Anodic transfer coefficient

$\beta$	Cathodic transfer coefficient

$\eta $	Overpotential (V)

$\phi$ 	Potential (V)

$\lambda$	Dimensionless variable in Eq. (18)

$\sigma$ 	Conductivity (S $m^{-1}$)

$\psi _{0}, \psi _{1}$	Direction variable

Subscripts and superscripts

el	Electronic conducting phase

E/C	Electrode/flow channel interface

E/E	Electrode/electrolyte layer interface

ion	Ionic conducting phase

ref	Reference

t	Total or overall


Question:
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IPS speed	$(\mathbf{km}\ \mathbf{s}^{-1})$	5.6	6.3	7.4	8.2	9.0

Shock-tube filling pressure	(kPa)	6.8	3.3	1.7	0.8	0.4

Calculated PSS speed	$(\mathbf{km}\ \mathbf{s}^{-1})$	6.85	7.92	8.37	8.76	9.50

Measured PSS speed	$(\mathbf{km}\ \mathbf{s}^{-1})$	6.5	7.6	8.0	8.3	9.8

$\mathbf{T}_{\mathbf{ABLE}}$ 1. PSS velocity - comparison with experiments for air


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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Compound$^{\dagger}$	Temperature of weightloss in the oxidation ofthe sample to CO and $\mathrm{CO}_2{ }^{\circ} \mathrm{C}$

0%	3%	5%

Ar-O-Ar-CO-Ar-O-Ar-CO-Ar-O-Ar (VII)	385	431	438

Ar-O-Ar-CO-Ar-CO-Ar-O-Ar (I)	375	411	428

Ar-Ar-CO-Ar-CO-Ar-Ar (II)	370	429	-

R-CO-Ar-CO-R (III)	345	425	-

 $\mathrm{C}_{6} \mathrm{H}_{6}$ [17]	340	397	403

Ar-Ar [17]	340	402	410

Ar-Ar-Ar-Ar [17]	343	403	414

Ar-O-Ar	385	424	431

Ar-CO-Ar	345	398	408

Dibenzofuran	310	359	374


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


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


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

Primary particle	Gamma	Electron

Zenith angle (°）	0	20	40	60	0	20	40	60

Energy range (GeV)	$5-10^4$	$5-10^4$

Scatter radius (m)	400	450	500	550	400	450	500	550

View cone angle(°）	-	-	-	-	4	4.5	5	5.5

Primary particle	Proton	α particle

Zenith angle (°）	0	20	40	60	0	20	40	60

Energy range (GeV)	$10-10^4$	$20-10^4$	$10-10^4$	$20-10^4$

Scatter radius (m)	500	550	600	650	500	550	600	650

View cone angle (°）	4	4.5	5	5.5	5	5.5	5.5	6


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


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


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


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


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

Sample	$-T\left(\frac{\partial^{2}\ln\sigma}{\partial P^{2}}\right)_{T}\left(\mathrm{expt}\right)$$(K/kbar^2)$	$-T\left(\frac{\partial^{2}\ln\sigma}{\partial P^{2}}\right)_{T}\left(\mathrm{theory}\right)$$(K/kbar^2)$	f	$\lambda J$(eV)

Single crystals $\alpha$ phase	0.66 ± $0.3^a$	0.35	2.74	0.029

Single crystals $\beta$ phase	0.66 ± 0.3	0.97	2.74	0.079

Pellets $\alpha$ phase	1.09 ± 0.3	1.23	1.50	0.10

Pellets $\beta$ phase	1.96 ± 0.6	1.84	1.50	0.15


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


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


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


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

Parameter	Symbol	Value	Units	Notes

Boltzmann's constant	$k_B$	1.38 × $10^{-23}$	$m^2$ kg $s^{-2}~ K^{-1}$

Planck's constant	$\hbar$	1.04 × $10^{-34}$	$m^2$ kg $s^{-1}$

Elementary charge	$\underline{q}$	1.60 × $10^{-19}$	C

Applied potential difference	$\Phi$	0.6	V

Glass layer thickness	L	$10^{-8}-10^{-6}$	m

Temperature	T	300	K

Absolute permittivity	$\epsilon$	3.45 × $10^{-11}$	F $m^{-1}$	(1)

Effective electron mass	$m_n$	9.11 × $10^{-31}$	kg	(2)

Statistical factor	$r_n$	3	一	(3)

Interfacial electron density	$n_1$	～$10^{25}$	$m^{-3}$	(4)


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You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to analyze the table image and generate the result in HTML format using specified tags.
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ELECTRICITY GENERATION TWh

Coal	30	38	61	25	23	18

Gas	53	72	120	107	234	309

Nuclear, oil, diesel	454	453	409	350	153	0

Renewable	90	125	135	98	145	189

Total electricitygeneration (TWh)	628 TWh 	688 TWh	724 TWh	578 TWh	555 TWh	517 TWh


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


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


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


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

Samples	Spiked urine	Spiked plasma

Amountadded$\left(\mathrm{ng}~ \mathrm{mL}^{-1}\right)$	Amountfound$\left(\mathrm{ng}~ \mathrm{mL}^{-1}\right)$	Preconcentrationfactor	Recovery $(\%) \pm$ S.D.	Amountadded$\left(\mathrm{ng}~ \mathrm{mL}^{-1}\right)$	Amountfound$\left(\mathrm{ng}~ \mathrm{mL}^{-1}\right)$	Preconcentrationfactor	Recovery $(\%) \pm$ S.D.

CHE	5.0	4.9	15.7	$98.8 \pm 1.6$	5.0	5.04	1.7	$100.8 \pm 1.7$

10.0	10.1	17.1	$ 101.2\pm 1.5 $	10.0	9.88	1.9	$98.8 \pm 1.1$

50.0	49.8	18.6	99.7 ± 1.3	50.0	49.55	2.1	$99.1 \pm 1.4$


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.

Isomer	Equilibrium	pK$_a$	$\begin{gathered}\mathrm{pK}_{\mathrm{a}}{ }^* \\ (\mathrm{abs})\end{gathered}$	$\begin{gathered}\mathrm{p} K_{\mathrm{a}}{ }^* \\ (\mathrm{flu})\end{gathered}$	$\underset{(\mathrm{pH})}{\mathrm{pK}_{\mathrm{a}}{ }^*}$

3-Hydroxy-quinoline$^a$	$\mathrm{C} \rightleftharpoons \mathrm{N}$	4·33	6·4		(4·2)

$\mathrm{C} \rightleftharpoons \mathrm{Z}$	5·52	-0·1	-0·7	-0·2

$\mathrm{N} \rightleftharpoons \mathrm{A}$	8·03	4·5		(8·1)

$\mathrm{Z} \rightleftharpoons \mathrm{A}$	6·84	11·1	11·3	12·2

$\mathrm{N} \rightleftharpoons \mathrm{Z}$	1·19	-6·6

6-Hydroxy-quinoline$^a$	$\mathrm{C} \rightleftharpoons \mathrm{N}$	5·18	8·4	14·2	(5·2)

$\mathrm{C} \rightleftharpoons \mathrm{Z}$	7·03	-2·7	0·8	-4·5

$\mathrm{N} \rightleftharpoons \mathrm{A}$	8·87	4·0	 -1·9	(8·8)

$\mathrm{Z} \rightleftharpoons \mathrm{A}$	7·02	14·5	10·6	~16

$\mathrm{N} \rightleftharpoons \mathrm{Z}$	1·85	-11.1	-13·0

7-Hydroxy-quinoline$^a$	$\mathrm{C} \rightleftharpoons \mathrm{N}$	5·64	8·8	13·5	(5·4)

$\mathrm{C} \rightleftharpoons \mathrm{Z}$	6·01	-2·8	-1.4	-2.2

$\mathrm{N} \rightleftharpoons \mathrm{A}$	8·67	3.5	-2.7	(8·7)

$\mathrm{Z} \rightleftharpoons \mathrm{A}$	8·32	15·3	11·4	14·4

$\mathrm{N} \rightleftharpoons \mathrm{Z}$	0·37	-11.6	-13·3


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.

	Units	Scen. P	Scen. BE	Scen. O

Solar thermal 2.5 M€/MW

ESOLAR (FLUID+DECARB)	M€	42.5	41.25	40.5

EDRY	M€	4	3	2

EFLUID	M€	1.9	1.5	1.15

EO&M	M€	4.84	4.58	4.37

$E_{TOT}$	M€	51.34	48.83	46.87

Solar thermal 3 M€/MW

ESOLAR (FLUID+DECARB)	M€	51	49.5	48.6

EDRY	M€	4	3	2

EFLUID	M€	1.9	1.5	1.15

EO&M	M€	5.69	5.4	5.18

ETOT	M€	60.69	57.9	55.78

Solar thermal 3.5 M€/MW

ESOLAR (FLUID+DECARB)	M€	59.5	57.75	56.7

EDRY	M€	4	3	2

EFLUID	M€	1.9	1.5	1.15

EO&M	M€	6.54	6.23	5.98

ETOT	M€	70.04	66.98	64.68


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


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


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


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


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


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

Sample No	Sodium Percentage (Na%)

Pre-monsoon	Water quality	Post- monsoon	Water quality

1	51	Permissible	36	Good

2	66	Doubtful	73	Doubtful

3	79	Doubtful	80	Doubtful

4	86	Unsuitable	67	Doubtful

5	85	Unsuitable	16	Excellent

6	47	Permissible	65	Doubtful

7	34	Good	34	Good

8	40	Good	68	Doubtful

9	30	Good	24	Good

10	17	Excellent	54	Permissible

11	32	Good	24	Good

12	27	Good	17	Excellent

13	45	Permissible	41	Permissible

14	67	Doubtful	44	Permissible

15	26	Good	73	Doubtful

16	20	Excellent	41	Permissible

17	24	Good	39	Good

18	16	Excellent	63	Doubtful

19	28	Good	36	Good

20	29	Good	49	Permissible


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


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


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


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


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

Casestudy	 Buses	Branches	Generators	Size of measurementvector

RTU	PMU	RTU	RTU

$U_m$	$U_{pm}$	$A_{pm}$	$P_{fl~s}$	$Q_{fl~s}$	$P_{\mathrm{g}}$	$Q_{\mathrm{g}}$

IEEE 39bus	39	4	4	46	46	10	10	$1 \times 159$

IEEE 118bus	118	12	12	186	186	54	54	$1 \times 622$


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


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


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

Combinationnumber	Cracking statein Direction $1^{\mathrm{a}}$	Cracking statein Direction 2	Cracking statein Direction 3

1	Crushed	Crushed	Crushed

2	Open	Intact	Intact

3	Closed	Intact	Intact

4	Open	Open	Intact

5	Open	Open	Open

6	Closed	Open	Open

7	Closed	Open	Intact

8	Open	Closed	Open

9	Closed	Closed	Open

10	Open	Closed	Intact

11	Open	Open	Closed

12	Closed	Open	Closed

13	 Closed	Closed	Intact

14	 Open	Closed	Closed

15	Closed	Closed	Closed

16	Intact	Intact	Intact


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


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


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


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


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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	Electronic Nose	μGC/μPC/μPDHID	GC-MS

Specific VOC identified?	No	Yes	Yes

Instruments comparable?	No	Yes	No

Signals comparable?	No	Yes	No

Onboard pattern analysis	Yes	Yes	No

Sensitivity limits	ppm-to-ppb	ppb-to-ppt	ppt-ppq

Sensor drifts?	Yes	No	No

Sensor poisoning?	Yes	No	No

Responses are variable?	Yes	No	No

Individual VOC quantifiable?	No	Yes	Yes

Power requirements	Low-to-moderate	Low-to-moderate	High

Skill / training of operator	Moderate	Moderate	High

Portability?	Yes	Yes	No


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


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


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


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

명칭	서가유형	자료배열	자료수장 상자(tray)	자료출납 장비

ReCAP	수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)	크기별(16종)	사용(16종)	order picker

WRLC	수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)	크기별	사용. 시청각/마이크로/기록물자료는 box 사용	order picker

NRLF	맞춤형 수동 고밀집서가$^{91)}$	크기별(4종)+2줄 배가	일부자료에 한해 사용	사다리

SRLF	맞춤형 수동 고밀집서가 $^{92)}$ +이동식밀집서가(영화필름 등)	크기별+2줄 배가	최근 마이크로필름과 작은 책을플라스틱 상자(tray)에 수납	사다리

PASCAL	수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)	크기별(5종)	사용(5종)$^{93})$	order picker

SWORD	수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)	크기별	언급없음. 홈페이지 이미지 확인결과, 사용	order picker

NEORD	수동 고밀집서가(Harvard)(높이 : 30ft/9.1m)	.	언급없음. 홈페이지 이미지 확인결과,사용	order picker

NWORBD	수동 고밀집서가(Harvard)(높이 : 33ft/10.1m)	크기별(5종)	사용(5종). 특수자료, 기록물 등box 사용	order picker

FCLD	이동식 밀집서가(전동식)(높이 : 12ft/3.7m)	크기별(3종)	사용	사다리(7-steprolling ladders)

MLAC	맞춤형 수동 고밀집서가(높이 : 16.7ft/5.1m)94)	크기별	사용	order picker

FLARE(예정)	수동 고밀집서가(Harvard)(높이 : 35ft/10.7m)	크기별	.	order picker

URRSA	맞춤형 수동 고밀집서가(높이: 3m)	크기별(5종)	언급없음. 홈페이지 이미지 확인결과, 상자는 사용하지 않음	사다리

$CARM^{95)}$	맞춤형 수동 고밀집서가(3층) +수동고밀집서가(Harvard)(높이 : 13m)	 크기별(CARM1) +청구기호순(CARM2)	CARM1은 크기별 여러 상자를사용. CARM2는 상자를 사용하지 않고 일반도서관과 동일 배가	리프트와사다리 사용

CTLes	수동 고밀집서가(Harvard) (높이 : 10m) + 밀집서가 	.	중성(mode-neutral) 자료수납 용기(box) 사용	order picker

GEPA	맞춤형 수동 고밀집서가(층고 : 일반건물 1개층 수준)	크기별	사용	높은 서가 접근을위해 특수 차량 이용

경기평생교육학습관	이동식 밀집서가(전동식)오동나무 일반서가(8대) : 귀중서 보관	도서관람 +동목연호순	사용 안함	사용하지 않음


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

Missouri	Dexter	6th November 2011	360	0.07g	1.14	*1.807	-	0.638

Missouri	Dexter	6thNovember 2011	360	0.1g	1.14	*1.807	-	0.638

Missouri	Dexter	6th November 2011	360	${ }^{\dagger} 0.5 g$	1.14	*1.807	-	0.638

Missouri	Dexter	6th November 2011	360	${ }^{\dagger} 0.8 g$	1.14	*1.807	-	0.638

Oklahoma	SW Harper	19th November 2015	90	0.0009g	Multiple peaks	0.108

Oklahoma	SW Harper	19th November 2015	90	0.04g	Multiple peaks	0.108

Oklahoma	SW Harper	19th November 2015	90	0.08g	Multiple peaks	0.108

Oklahoma	SW Harper	19th November 2015	90	${ }^{\dagger} 0.25 g$	Multiple peaks	0.108

Oklahoma	Mehan	7th November 2016	90	0.15g	2.39	5.03	*9.57	0.128

Oklahoma	Mehan	7th November 2016	90	0.4g	2.39	5.03	*9.57	0.128

Oklahoma	Mehan	7th November 2016	90	${ }^{\dagger} 0.65 g$	2.39	5.03	*9.57	0.128

Oklahoma	Mehan	7th November 2016	90	${ }^{\dagger} 1.5 g$	2.39	5.03	*9.57	0.128


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


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

Specific weight,$g/cm^{3}$	Thermal stability	\begin{gathered}K_{\text{Ic}} \\\text{MPa} \cdot \text{m}^{0.5}\end{gathered}	Vickers hardness,GPa	Ref.

				[46]

				[47]

	 2507 cycles(1200–25°C)27% higher than forYSZ	Low sinterability	[48]

				[49]

				[50]

5.1-5.96.1-6.96.3-6.45.6-5.7	$\mathrm{La}_{2} \mathrm{Zr}_{2} \mathrm{O}_{7}$ and $\mathrm{Gd}_{2} \mathrm{Zr}_{2} \mathrm{O}_{7}$ are the most thermally stable phases	[51]

		1346 cycles(1350-25℃）		[52]

6.036-6.147				[53]

		3700 cycles(25-1350℃)	~8.8	[54]

	32 cycles(1250–22°C)			[55]

		1.5-3	8	[56]


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


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

Inhibitor	Quantity(ng)	% Inhibition ofbinding Ab-2anti-anti-Idreactions

RabbitNo. 1	RabbitNo. 2

HBsAg	2500	38	52

250	19	31

25	2	5

Ovalbumin	2500	2	4

250	1	1

25	0	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.


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


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

$\begin{array}{l}{\mathrm{Eluat}}\\{\mathrm{Nr.}}\end{array}$	Gewicht in mg	Smp.	Farbreaktionen

$konz. H_{2}SO_{4}$	$FeCl_{3}$

$20^0$	$100^0$

1	34	110—$112^0$	gelb	dunkelgelb	griun

2	166	108—$110^0$	gelb	dunkelgelb	griun

3	426	94—$100^0$	gelb	dunkelgelb	braungriin

4	890	141—$143^0$	gelb	rotbraun	braunschwarz

5	1350	143—$144^0$	gelb	rotbraun	braunschwarz

6	651	142—$143^0$	gelb	braun	braunschwarz

7	598	141—$143^0$	gelb	braun	braunschwarz

8	430	107—$124^0$	gelb	hellbraun	braunschwarz

9	371	115—$122^0$	gelb	gelb	braunschwarz

10	313	115—$122^0$	gelb	gelb	braunschwarz

11	217	120—$123^0$	gelb	gelb	braunschwarz

12	207	122—$123^0$	gelb	gelb	braunschwarz

13	220	120—$124^0$	gelb	gelb	braunschwarz

14	235	112—$122^0$	gelb	orange	braunschwarz

15	70	$\ddot{\text{o}}\text{lig}$	—	—	—


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

药物	立即毒性	近期毒性

恶心	呕吐	其他	骨髓移植	其他

阿霉素	+	+	局部刺激	+++	脱发、黏膜炎、口炎、心脏毒性"

博来霉素	+	-	发热、过敏反应	-	皮肤色素沉着、皮硬、脱发、肺纤维化* *

卡莫司汀	++	+		+++	肝损伤、肺纤维化* * *

环磷酰胺	++	+		++	药物性膀胱炎、脱发

氮烯咪胺	+	+		++

鬼白乙叉甙	+	+	直立性低血压、局部刺激	++	脱发

氟尿嘧啶	+	-	腹泻	+	咽炎

环己亚硝脲	+	+		+++	肝损伤、肺纤维化

米尔法兰	+	-		+++

氨甲喋呤	+	-		++	黏膜炎

丝裂霉素	++	+	局部刺激	+++

顺铂	++	++		++	肾损伤、耳及周围神经毒性

甲基环已亚硝脲	+	+	+++	肝损伤

喃呋啶	+	-	腹泻	++	神经毒性

噻替派	+	-		++

长春碱	+	+	局部刺激	++	周围神经毒性

长春新碱	+	-	局部刺激	-	周围神经毒性、脱发

长春碱酰胺	+	-		++	周围神经毒性


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

Anionof	Alkyl halide	Yield,%	EIMS, m/e	 Monoacid salts

M	B 	Mp, ℃	Crystn solvent	Ref 	Registry no.

12a	$\mathrm{CH}_3 ~\mathrm{I}$	100	154	58	227—229 $\operatorname{dec}^a$	Ethanol	10,22	14789-40-3

12a	$\mathrm{C}_2 ~\mathrm{H}_5 ~\mathrm{Br}$	74	168	58	$189—90^a$	Acetone	23,d

12a	$n-\mathrm{C}_4 ~\mathrm{H}_9 ~\mathrm{Br}$	100			129—$131^b$	Ethyl acetate-ether	d

12a	$\mathrm{c}-\mathrm{C}_6~ \mathrm{H}_{1~1}~\mathrm{CH}_2 \mathrm{Br}$	75	236	58	$163.5-166$$~~\operatorname{dec}^c$	Acetone	d

12b	$n-\mathrm{C}_4 ~\mathrm{H}_9 ~\mathrm{Br}$	100			94.5—$95.5^a$	Ethyl acetate-petroleumether	d


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


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

Specimen	$f'_c$at testday(MPa)	Theoreticalflexuralstrength(plain RC)(kN)	Theoreticalflexuralstrength(FRP-reinforced)(kN)	Shear strength against diagonaltension failure	FRP contributionto shear strengthEq. (1) (kN)	Shear strengthof FRP-reinforcedshear wall minimum(columns 4,5,6) + FRPcontribution (kN)	Maximumtestload,P$_{max}$ (KN)

ACI-318seismicprovisions$(kN)^{a}$	CSAA23.3-94modifiedequation$(kN)^{b}$	Wood'smodel$(kN)^{c}$

Phase 1

CW-1 	40	197 	-	583	474	463	0	463	188

RW-1	40	197	392	583	474	463	0	463	322

SW1-1	42	232	395	588	484	468	0	468	260

SW2-1 	40	230 	561	581 	470	461	230	690	450

Phase 2

CW-2	36	191 	-	571	 449	451	0	449	204

RW-2	36	191	386	571	449	451	0	449	284

SW1-2 	36	192 	386	572	451	452	0	451	313

SW2-2 	39	194	560	580	467	459	0	459	426

SW3-2 	39 	193 	684 	578 	464 	458 	230 	688 	542


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

Mean Diameter(nm)	Standard Deviation	 Volume SwellingRatio(VCM/oil)	CalculatedMeanDiameter	Measured MeanDiameter	Standard Deviation

217	73	42	632	604	390

217	73	84	797	782	452

217	73	94	827	827	446

227	70	42	661	669	490

227	70	84	833	804	465

227	70	94	865	870	514


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


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


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


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


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

Component	Cost balance equations

Air compressor	$\dot{C}_{1}+\dot{C}_{W,AC}+\dot{Z}_{AC}=\dot{C}_{2}$

Combustion chamber	$\dot{C}_2+\dot{C}_4+\dot{Z}_{CC}=\dot{C}_5$

Gas turbine	$\dot{C}_5+\dot{Z}_{GT}=\dot{C}_6+\dot{C}_{W,GT}$

Reheater	$\dot{C}_{7}+\dot{C}_{30}+\dot{Z}_{RH}=\dot{C}_{8}+\dot{C}_{31}$

High pressure superheater	$\dot{C}_9+\dot{C}_{42}+\dot{Z}_{HPSH}=\dot{C}_{10}+\dot{C}_{43}$

High pressure evaporator	$\dot{C}_{11}+\dot{C}_{41}+\dot{Z}_{HPEVAP}=\dot{C}_{12}+\dot{C}_{42}$

High pressure economizer	$\dot{C}_{12}+\dot{C}_{40}+\dot{Z}_{HPECPN}=\dot{C}_{13}+\dot{C}_{41}$

Intermediate pressure superheater	$\dot{C}_{13}+\dot{C}_{27}+\dot{Z}_{IPSH}=\dot{C}_{14}+\dot{C}_{28}$

Intermediate pressure evaporator	$\dot{C}_{14}+\dot{C}_{26}+\dot{Z}_{IPEVAP}=\dot{C}_{15}+\dot{C}_{27}$

Intermediate pressure economizer	$\dot{C}_{15}+\dot{C}_{25}+\dot{Z}_{IPECON}=\dot{C}_{16}+\dot{C}_{26}$

Low pressure superheater	$\dot{C}_{16}+\dot{C}_{34}+\dot{Z}_{LPSH}=\dot{C}_{17}+\dot{C}_{33}$

Low pressure evaporator	$\dot{C}_{17}+\dot{C}_{37}+\dot{Z}_{LPEVAP}=\dot{C}_{18}+\dot{C}_{38}$

Low pressure economizer	$\dot{C}_{18}+\dot{C}_{20}+\dot{Z}_{LPECON}=\dot{C}_{19}+\dot{C}_{21}$

High pressure steam turbine	$\dot{C}_{43}+\dot{Z}_{HPST}=\dot{C}_{44}+\dot{C}_{W,HPST}$

Intermediate pressure steam turbine	$\dot{C}_{31}+\dot{Z}_{IPST}=\dot{C}_{32}+\dot{C}_{W,IPST}$

Low pressure steam turbine	$\dot{C}_{45}+\dot{Z}_{LPST}=\dot{C}_{46}+\dot{C}_{W,LPST}$

High pressure pump	$\dot{C}_{39}+\dot{C}_{W,HPP}+\dot{Z}_{HPP}=\dot{C}_{40}$

Intermediate pressure pump	$\dot{C}_{24}+\dot{C}_{W,IPP}+\dot{Z}_{IPP}=\dot{C}_{25}$

Low pressure pump	$\dot{C}_{36}+\dot{C}_{W,LPP}+\dot{Z}_{LPP}=\dot{C}_{37}$

Condenser pump	$\dot{C}_{29}+\dot{C}_{W,CONDPUMP}+\dot{Z}_{CONDPUMP}=\dot{C}_{20}$


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.

Experiment	$β/f$	Vertical coupling	Environmental flow	$V_{\nu}~\left(\mathrm{m} \mathrm{~s}^{-1}\right)$

βNI	β	no heating	$-$	1.38

$βD0$	β	diabatic heating	$-$	1.50

$βD20$	β	diabatic heating + vertical diffusion	$-$	1.50

CONT	$f$	diabatic heating	uniform zonal flow $3\ \text{m}\ \text{s}^{-1}$	0.05

WF	$f$	diabatic heating	linear westerly shear	0.61

$WF0$	$f$	no heating	linear westerly shear	0.52

$WF0A$	$f$	no heating, lower stability	linear westerly shear	0.79

WFS	$f$	stronger diabatic heating	linear westerly shear	1.14

WFI	$f$	diabatic heating	westerly shear between 500 and 300 mb	-0.77

WB	β	diabatic heating	linear westerly shear	1.74

EF	$f$	diabatic heating	linear easterly shear	-0.61

EB	β	diabatic heating	linear easterly shear	1.44


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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 of levels	Symbols	Factors

F	S	M

Lower	-1	1600	100	20

Central	0	2100	300	60

Upper	+1	2600	500	100

Interval of variation	△X	1000	400	80


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


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


Question:
You are an AI specialized in recognizing and extracting table from images. Your mission is to 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	$k[cm^3~molecule^{-1}~s^{-1}]$	$\tau$

$\mathrm{NO}_{2}+\mathrm{OH}(+\mathrm{M})\rightarrow\mathrm{HNO}_{3}(+\mathrm{M})$	$1.5\times10^{-11}$	18 h

$\mathrm{NO}_{2}+\mathrm{HO}_{2}(+\mathrm{M})\rightarrow\mathrm{HO}_{2}\mathrm{NO}_{2}(+\mathrm{M})$	$10^{-12}$	[b]

$\mathrm{NO}_2+\mathrm{CH}_3\mathrm{O}\to\mathrm{CH}_3\mathrm{ONO}_2$	$3\times10^{-13}$	80 d

$\mathrm{CH_{3}CO(O_{2})+NO_{2}\rightarrow CH_{3}CO(O_{2})NO_{2}}$(PAN)	-	several h

$NO_2+hv\to NO+O$	$J=8\times10^{-3}\:s^{-1}\:[a]$	2 min


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


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


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

Soilextrac-tion/Solutiontreatment	Cu removed (%)	Initial EDTA conc.$(g\ L^{-1})$	EDTA conc.afterextraction($(g\ L^{-1})$)	EDTA conc.aftertreatment($(g\ L^{-1})$)	Lost EDTA -extraction (%)	Lost EDTA -treatment (%)	EDTA extractionpotential (%)

Fresh soil

1.Ext./treat.	44	8.5	8.4	8.2	1.6	1.6	100

2.Ext./treat.	32	8.2	7.2	6.1	13	15	82

3.Ext./treat.	26	6.1	5.7	5.4	6	6	69

4.Ext./treat.	25	5.4	5.1	/	5	/	69

Continuously extracted soil

1.Ext./treat.	44	8.5	8.4	8.2	1.6	1.6	/

2.Ext./treat.	19	8.2	7.1	6.3	13	11	/

3.Ext./treat.	8	6.3	5.6	5.3	6	6	/

4.Ext./treat.	5	5.3	5.0	/	5	/	/

Total Cu extracted	76


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


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

Frequency andpolarization	 Antennatemperature(K)	 Derivative withincidence angle (K/deg)

6.6 V	146.1	 2.20

6.6 H	79.3	-1.16

10.7 V	155.7	 2.23

10.7 H	 86.4	-1.09

18 V	181.3	 2.27

18 H	118.3	-0.45

21 V	216.9	 2.08

21 H	174.5	 0.63

37 V	212.5	 2.14

37 H	156.4	-0.01

 Parameters	 Baseline

 Surface temperature	23℃

Wind speed	 0 m/s

Water vapor	 40 $\mathrm{kg/m^{2}}$

Liquid water	 0 $\mathrm{kg/m^{2}}$


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.

		Throttle position

		VS	S	M	B	VB

Vehiclespeed	VS	S	M	B	VB	VB

S	S	S	M	B	VB

M	VS	S	S	M	B

B	VS	VS	VS	S	M

VB	VS	VS	VS	VS	S


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


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


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


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


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


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


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

$\frac{\partial \theta}{\partial x}=\frac{-\cos \theta}{2 L}+\frac{\sin \theta}{2 L \tan \chi}+\frac{\sin \theta}{L \tan \kappa_r^{\prime}}$	$\frac{\partial L}{\partial x}=-\frac{\cos \theta}{2 \tan \chi}-\frac{\cos \theta}{\tan \kappa_r^{\prime}}-\frac{\sin \theta}{2}$	$\frac{\partial A}{\partial x}=-L \cos \theta$

$\frac{\partial \theta}{\partial x_\tau}=\frac{-\cos \theta}{2 L}+\frac{\sin \theta}{2 L \tan \chi}$	$\frac{\partial L}{\partial x_\tau}=\frac{-\sin \theta}{2}+\frac{\cos \theta}{2 \tan \chi}$	$\frac{\partial A}{\partial x_\tau}=L \cos \theta-c$

$\frac{\partial \theta}{\partial y}=\frac{\tan \chi \cos \theta}{2 L}+\frac{\sin \theta}{2 L}$	$\frac{\partial L}{\partial y}=-\frac{\cos \theta}{2}+\frac{\tan \chi \sin \theta}{2}$	$\frac{\partial A}{\partial y}=-L \sin \theta$

$\frac{\partial \theta}{\partial y_\tau}=-\frac{\tan \chi \cos \theta}{2 L}-\frac{\sin \theta}{2 L}$	$\frac{\partial L}{\partial y_\tau}=\frac{\cos \theta}{2}-\frac{\tan \chi \sin \theta}{2}$	$\frac{\partial A}{\partial y_\tau}=L \sin \theta$


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


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


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


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


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


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


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


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

 PerformanceMethod	Timing Complexity	Area Complexity

Initial clock latency(input to first output)	Critical Path	Output Latency

BBS [12]	2$n$+5 clock	$2(T_{2oa}+T_{mux})$	2$n$+5 clock	$2A_{3oa}+A_{2oa}+A_{mux4}+3A_{mux2}+4_{reg}+A_{FSM}$

CLCG	1 clock	$T_{3oa}+T_{mux}$	1 clock	$2A_{LCG}+A_{cmp}=2(A_{3oa}+A_{mux}+A_{reg})+A_{cmp}$

Dual-CLCG	$2^{n}$ clock	$T_{3oa}+T_{mux}$	2 clock	$4(A_{3oa}+A_{mux}+A_{reg})+2A_{cmp}+A_{tri}+A_{mem}+A_{FSM}$

Proposed PRBG Method	1 clock	$T_{3oa}+T_{mux}$	1 clock	$4(A_{3oa}+A_{mux}+A_{reg})+2A_{cmp}+A_{X}$


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


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


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

Catalyst	XRD	Textural properties	Maximumyield (%)

 Unit cell$\text{parameter (Å)}^a$	Crystallite$\text{size (nm)}^a$	$\text{Structure}^a$	Surface area$~ ~ (\mathrm{m}^2/\mathrm{g})$	Pore volume$~ ~ (\mathrm{cm}^3/\mathrm{g})^b$	 Average porediameter $(\mathrm{nm})^c$

CZA	5.42	3.70	Cubic	77	0.150	7.5	68

CZS	6.29	3.90	Cubic	104	0.187	6.3	77

CZT	5.38	3.05	Cubic	61	0.108	6.4	23


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


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


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

DeMartini 1963	Various	750-1000 ft. cdls.	Daylight	Normal (San Fran-cisco area)

Dungal 1951	Various	100 watt bulb12-16 ft. fromflasks	Incandescent

Ernst 1966a	DendrobiumphalaenopsisFitzgerald	600-1000 ft. cdls.	Daylight

Griffith &Link 1957	Cattleyaskinneri,Cattleyamossiae	675-725 ft. cdls.	Provided by three 40 watt warm whitefluorescent bulbs and three 40 wattwhite, inside-frosted incandescent lightbulbs	12 hours. Between6 P.M. and 6 A.M.

Hager 1954	Cattleya	200 ft. cdls.	Gradually increased following germina-tion to 400 ft. cdls.	16 hours

Halpin &Farrar 1965	Cattleya,Laelioattleya,Brassocattleya,Vanda	40 watt lamps,16 inches fromplants	Wide spectrum Gro-Lux,Gro-Lux, warm white, cool white	16 hours

Hamilton 1965	Cymbidium		Gro-Lux

Hey 1966a	Various, "rare"		Warm white fluorescent

Hill 1961a, b,1965	Various	150-200 ft.cdls. at first,300-400 ft.cdls. followinggermination

Ilsley 1966	Various	900-1000 ft. cdls.	Natural daylight	Natural daylength

Kano 1965	Paphiopedilumcallosum		Dim light better than darkness


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


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

零 件	钢材选用	热处理要求	说 明

 动、定模座板、上、下模座板、动、定模板、上、下模板、支承板、模套、垫块	45 钢、S50C	不进行热处理或调质至$230 \sim 270 \mathrm{HBS}$

 浇口套、拉料杆、分流锥	$\begin{array}{l}\mathrm{T} 10\mathrm{~A}、9\mathrm{Mn} 2\mathrm{~V}、\\\ \ 7\mathrm{CrSiMnMoV}\end{array} $	 淬硬$50 \sim 55 \mathrm{HRC}$

 导柱、导套、推板导柱、推板导套	20 钢	 渗碳淬硬56~60HRC

 T8A、7CrSiMnMoV	 淬硬50~55HRC

 斜销、滑块、锁紧楔	 T8A、7CrSiMnMoV	 淬硬$54 \sim 58$ HRC

推杆、推管	 T8A、7CrSiMnMoV	 淬硬54~58HRC

复位杆	45 钢	 淬硬43~48HRC

 推杆固定板、推板	45 钢

加料室、柱塞	T8A、 $7 \mathrm{CrSiMnMoV}$	 淬硬50~55HRC


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


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

Quantity	Symbol	Unit	Value	Standarduncertainty

Concentration of the solution 1	$C_{1}$	mg $L^{-1}$	0.50	0.00

Concentration of the solution 2	$C_{2}$	mg $L^{-1}$	1.00	0.00

Concentration of the solution 3	$C_{3}$	mg $L^{-1}$	2.00	0.01

Concentration of the solution 4	$C_{4}$	mg $L^{-1}$	3.00	0.01

Concentration of the solution 5	$C_{5}$	mg $L^{-1}$	4.00	0.01

Concentration of the solution 6	$C_{6}$	mg $L^{-1}$	5.00	0.02

Concentration of the solution 7	$C_{7}$	mg $L^{-1}$	6.00	0.02

Concentration of the solution 8	$C_{8}$	mg $L^{-1}$	7.00	0.02

Peak area of the reference solution 1	$A_{1}$	$-$	51437	76

Peak area of the reference solution 2	$A_{2}$	$-$	98583	204

Peak area of the reference solution 3	$A_{3}$	$-$	200037	151

Peak area of the reference solution 4	$A_{4}$	$-$	305822	312

Peak area of the reference solution 5	$A_{5}$	$-$	418793	315

Peab kea of the reference solution 6	$A_{6}$	$-$	531318	712

Peak area of the reference solution 7	$A_{7}$	$-$	645226	716

Peak area of the reference solution 8	$A_{8}$	$-$	767727	295

Peak area of the sample	A	$-$	537123	5371

Recovery	R	$-$	1	0.014

Dilution factor	$F_{dil}$	$-$	5	0.01

Nitrate concentration	$X_{ref}$	mg $L^{-1}$	21.5	$0.4^{a}$


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

Condition	ITER	CTF	DEMO

$\begin{aligned}&\text{14-MeV neutron flux through}\\&\text{chamber surface, }\Gamma_{\mathrm{n}}\\&(10^{13}\mathrm{n/s/cm}^{2})\end{aligned}$	~2.6	>4.4	~18

$\begin{aligned}&\text{14-MeV neutron heat flux}\\&\text{through chamber surface}\\&(\mathrm{W/cm}^{2})\end{aligned}$	~60	>100	~400

Depth of energetic (>1 keV)neutron-material interactions(cm)	~50	>50	~50

Transverse spatial scale ofinterest to energetic (>1 keV)neutron-material interactions(cm)	~1000	~500	~1000

Total chamber systemsdisplacement per atom, dpa	~3	$\le60$	~60

Dpa per full-flux-year, D	~6	>10	~40

Duration of sustained neutroninteractions (s)	$\sim10^{3}$	$>10^{6}$	$\sim10^{7}$

Tritium self-sufficiency goal(%)	～？	~90	>100

Duty factor, $F_D$ (%)	2.5	30	75


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


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


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

Acquisition protocols	Energy	PMMAthickness	Slicethickness	Pixelsize	Number ofprojections	DoseCTDI

(cm)	(mm)	(mm)	(一)	(mGy)

Conventionalclinical CT	Standard head (patient)	120 kVp	n.a.	1.25	0.44	n.a	33

250 mA

Inner ear (phantom)	120 kVp	n.a.	0.625	0.44	n.a	183

350 mA

SR-CT	Patient acquisition	80 keV	14.5	2	0.35	1024	93

191 mA

$\begin{array}{l}\text { ‘Low dose' (phantom) } \\ \end{array}$	80 keV	18	0.625	0.35	340	14.8


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

	亥卯未年马癸巳	阳贵人丁酉	阴贵人己亥

正月	艮	震	中

二月	兑	坤	巽

三月	乾	坤	震

四月	中	离	坤

五月	坎	艮	坎

夏至后	离	坤	离

六月	坎	震	坎

七月	坤	巽	坤

八月	震	中	震

九月	巽	离	巽

十月	中	坎	中

十一月	乾	坤	离

冬至后	巽	艮	坎

十二月	震	兑	离


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


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

	药 名	途 径	剂 量	备 注

4	米雅 A	PO	1/3~1/2包,每日3次	 本品主要成分为宫人菌芽孢,宫人菌能与双歧杆菌及乳酸杆菌等肠内有益菌共生,能产生低聚糖等促进双歧杆菌发育的因子,有一定的抗药性,可与抗生素同服

5	金双歧片	PO	1/3~1/2片，每日3次	 合双歧杆菌、乳酸杆菌和粪链球菌，属人体肠道内正常菌群，忌与抗生素同服。藏于冷及干燥处

6	黄 连 素(Berberin)	PO	10mg/kg·d	 为广谱抗菌药物。对多种革兰阳性菌和阴性菌均有抑制作用，包括溶血性链球菌、金黄色葡萄球菌、脑膜炎球菌、肺炎球菌、霍乱弧菌、炭疽杆菌、白喉杆菌、痢疾杆菌、弯曲杆菌及阿米巴原虫均有一定抑制作用，其中溶血性链球菌、金黄色葡萄球菌、痢疾杆菌对本品易产生耐药性副作用:口服不良反应较少而轻，偶见恶心、呕吐、皮疹和药热，停药后可消失

7	10% 葡 萄糖 酸 钙(10%Calci-um glu-conate)	POIV	0.5~1g/d第1次1~2ml/kg,静脉慢注1ml/min,必要时6~8小时后重复1次(总钙量可达每日25~35mg/kg),交换输血时每次0.1g(10% 1ml)	 10%葡萄糖酸钙，相当于9mg/ml元素钙副作用:静脉外溢时引起组织坏死

8	硫酸镁溶液(Magne-sium sulfatesolution)	IM	25%溶液0.2~0.4ml/kg(早产儿不用 IM)	 镁缺乏时一般注射1~4次惊厥即止副作用:镁过量时表现深反射消失、呼吸抑制，此时即刻静注10%葡萄糖酸钙2ml/kg

IV	2.5%溶液2~4ml/kg,速度每分钟不超过 1ml

PO	10%溶液每次1~2ml/kg，每日2~3次


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

Density dependence in model	Model designation	$\beta$	No. post-larvae	No. juveniles

Fecundity	F	0.069	1.2	0.36

Juvenile mortality	M1	$2.0×10^{-3} $	92	19

Post-larval and juvenile mortality	M2	$5.1 × 10^{-4} $	92	0.53

Juvenile growth	G1	$2.2×10^{-3} $	92	74

Juvenile growth(effective density = biomass)	Gb1	$2.2×10^{-4}$	92	74

Growth: post-larvae, juveniles and first adult size class	G2	$5.9 × 10^{-4}$	105	0.75

Growth of post-larvae, juveniles and first adult size class(Effectivedensity = biomass for juvenile and adult growth)	Gb2	$8.1 × 10^{-5}$	52	7.5

As above,but growth of post-larvae depends on juvenile biomass	Gb3	$7.5×10^{-5}$	54	6.9


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.

Axis of Comparison	Systems Compared	n	$V_{f}(\mathrm{m\ y}^{-1})$	SD

Overall mean		24	5.7	7.8

Trophic Status	Eutrophic	10	11.2*	6.7

Non-eutrophic	14	1.8*	6.1

System type	Lakes	15	4.0	3.7

Reservoirs	9	8.6	11.6

Surface Area	>50 $\mathrm{km}^{2}$	9	4.3	11.4

<50 $\mathrm{km}^{2}$	15	6.5	4.9

Latitude	Boreal	9	3.2	3.5

Temperate	14	7.2	9.6

Tropical	1	6.9	N/A


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


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

デ ー タ 分 類	陸域を主な対象とするもの	海岸線を主な対象とするもの	海域をな对とするもの

自 然 条 件	気 象 条 件

地 象 条 件	平均高度, 起伏值, 平均斜度, 土地条件	砂浜規模, 水際線形状, 河川規模,浅海干潟, 陸域勾配, 表層地質, 地形分類, 土壤分類, 海岸形状, 海浜性状, 侵食状況

海 象 条 件		海域勾配，潮位	平均深度，海底地質，暗礁，瀬，離岸距離，航路

生 物 環 境		保安林延長

社 会 条 件	空 間 利 用	土地利用現況，指定公園	民有地率	漁業榷，航路航行義務区

立 地 施 設		県営種苗センター, 漁港, 防波堤防潮堤, 臨海工業施設, 港湾施設率マリーナ, 海水浴場, 公共施設, レクリエーション施設	人口種苗共同生産施設, アサリ種苗放流位置, 送電線, 送油管,シーバース・ノリ養殖場

資 源$\begin{pmatrix}\text{文}& \text{化} \\\text{天}& \text{然}\end{pmatrix}$	史跡天然記念物		漁場, 藻場

環 境 条 件		地盤沈下，水質基準，鳥獣保護区	透明度, PH, COD, DO, 塩分量,総チッソ量

交 通 条 件	名古屋までの時間距離,主要都市までの時間距離,主要港湾までの時間距離

災 害		高潮災害，津波災害

法 律 関 連

人間活動条件	人 口 条 件	総人口, 流入人口, 労働力人口, 就業者数, 業種別人口, 世帶数	人口集中地区域，背後地人口

產 業 活 動		漁業經常体

生 活 条 件

そ の 他	|ァーツ・データ


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

Guidelines for Choosing Valve Characteristics

Process	Application	Best Inherent Characteristics

Pressure	Liquid Pressure	Equal Percent

	Gas Pressure, Small Volume	Equal Percent

	Gas Pressure, Large VolumeMax $\Delta P$ Less than 5X Min $\Delta P$	Linear

	Gas Pressure Large VolumeMax $\Delta P$ Greater than 5X Min $\Delta P$	Equal Percent

Temperature	Most Applications	Equal Percent

Flow	Load Changes	Equal Percent

	Set Point Changes	Linear

Liquid Level	Max $\Delta P$ Less than 5X Min $\Delta P$	Linear

	Max $\Delta P$ Greater than 5X Min $\Delta P$	Equal Percent

Back Pressure	Constant $\Delta P$	Linear


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


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

Dataset	B.faecium	S.aureus

Library	Paired-end	Jumping	Paired-end	Jumping

Number of reads	13 M	41 M	38 M	41 M

Average coverage	400×	1100×	1050×	1050×

Coverage span	$210-570 \times$	$0-3000 \times$	$0-3500 \times$	$0-3500 \times$

Insert size	270 bp	7.5kb	210 bp	1.8kb

Insert span	$150-400 \mathrm{bp}$	$6-10 \mathrm{~kb}$	$180-230 \mathrm{bp}$	$0.5-4 \mathrm{~kb}$

Chimeric read-pairs $(\%)$	1	9	3	50

Unaligned read-pairs $(\%)$	16	10	6	28


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


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


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

Condition	Ten subjects	Eight subjects	Two subjects

$R^2$	Residual errors	$R^2$	Residual errors	$R^2$	Residual errors

Front target

Target visible, hand visible	0.67***	12.15	0.82***	6.49 	0.60**	15.85

Target visible, hand not-visible	0.56***	11.13	0.73***	8.00	0.84***	6.68

Target not-visible, hand visible	0.60***	9.35	0.71***	5.77	0.92***	5.27

Target not-visible，hand not-visible	0.51***	11.06	0.64***	9.15 	0.87***	5.65

Left target

Target visible, hand visible	0.83***	9.68	0.92***	4.91	0.92***	11.11

Target visible, hand not-visible	0.86***	 7.19	0.86***	6.63	0.98***	3.84

Target not-visible, hand visible	0.83***	 8.27	0.82***	7.47	0.95***	6.21

Target not-visible, hand not-visible	0.64***	10.01	0.57***	10.05	0.91***	5.62


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


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


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


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


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


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


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


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