reweighting method

液相色谱方法的建立

高丽萍 June 4,20111

目 录1.HPLC方法建立过程中的常见问题 方法建立过程中的常见问题 1. 2.HPLC建立的一般程序 建立的一般程序 2. 3.色谱条件的建立 3.色谱条件的建立3.1 色谱柱的选择 A.色谱柱的归类 A.色谱柱的归类 B.C18色谱柱的性能影响因素 B.C18色谱柱的性能影响因素 C.固定相种类的选择 C.固定相种类的选择 3.2 流动相的选择 A.流动相中的酸 A.流动相中的酸 B.流动相PH值与样品保留时间的关系 流动相PH B.流动相PH值与样品保留时间的关系 C.流动相中的缓冲盐 C.流动相中的缓冲盐 D.流动相中的离子对试剂 D.流动相中的离子对试剂 E.流动相中的其他组分 E.流动相中的其他组分

一、HPLC方法建立过程中的常见问题 HPLC方法建立过程中的常见问题对HPLC方法的所要达到的目标不明确 (如可能检测到多少个杂质，检测到什么水平) 对杂质的相关工作太粗 (杂质的ID,响应因子，杂质是否会在体系中进一步降解等) 方法建立时选择的样品不合适 (如选择了精制后的样品) 没有注意样品的处理方法 (如超声/在溶剂中的降解过程/进入色谱柱后发生水解等) 没有考虑色谱柱能否长期满

液相色谱方法的建立

高丽萍 June 4,20111

目 录1.HPLC方法建立过程中的常见问题 方法建立过程中的常见问题 1. 2.HPLC建立的一般程序 建立的一般程序 2. 3.色谱条件的建立 3.色谱条件的建立3.1 色谱柱的选择 A.色谱柱的归类 A.色谱柱的归类 B.C18色谱柱的性能影响因素 B.C18色谱柱的性能影响因素 C.固定相种类的选择 C.固定相种类的选择 3.2 流动相的选择 A.流动相中的酸 A.流动相中的酸 B.流动相PH值与样品保留时间的关系 流动相PH B.流动相PH值与样品保留时间的关系 C.流动相中的缓冲盐 C.流动相中的缓冲盐 D.流动相中的离子对试剂 D.流动相中的离子对试剂 E.流动相中的其他组分 E.流动相中的其他组分

一、HPLC方法建立过程中的常见问题 HPLC方法建立过程中的常见问题对HPLC方法的所要达到的目标不明确 (如可能检测到多少个杂质，检测到什么水平) 对杂质的相关工作太粗 (杂质的ID,响应因子，杂质是否会在体系中进一步降解等) 方法建立时选择的样品不合适 (如选择了精制后的样品) 没有注意样品的处理方法 (如超声/在溶剂中的降解过程/进入色谱柱后发生水解等) 没有考虑色谱柱能否长期满

英语教学法

THE AUDIOLINGUAL METHOD

The Audiolingual Method is also called Aural-oral or Structure Approach.We all know that the procedure of learning English is listening, speaking,reading and writing. From the order of this procedure, we can see obviously that the Audiolingual Method is the first step to learn English and this method attach much importance on listening and speaking before reading and writing. In order to improve the two skills,what should the teachers emphasize in the classroom? They are dialogues and patten dri

bootstrap统计方法的excel应用,里面可以用F9动态演示bootstrap统计方法,本例用bootstrap估计了均值

Bootstrap sampling

Original sample 81 32 49 54 44 74 98 42 54 51 69 49 43 5 1 5 35 55 4 20 25 34 31 65 46 92 2 4 41 38 Bootstrap samples 41 5 31 2 2 1 51 92 46 55 34 74 98 20 81 81 55 49 98 5 81 49 55 34 74 98 25 92 35 41 55 38 65 2 49 2 31 54 31 2 5 25 42 69 44 42 98 4 32 4 38 65 32 54 35 54 49 49 41 44 38 49 1 98 49 25 38 54 5 98 46 5 55 74 92 1 44 5 65 54 5 5 38 49 32 54 5 31 54 55 69 65 31 31 43 4 92 54 51 32 4 34 4 43 51 65 65 81 51 1 41 41 31 49 98 49 51 4

Reweighting AT-SAT to Mitigate Group Score Differences Andrew R. Dattel Raymond E. King Civil Aerospace Medical Institute Federal Aviation Administration Oklahoma City, OK 73125

July 2006

Final Report DOT/FAA/AM-06/16Office of Aerospace Medicine

Washington, DC 20591

NOTICE

This document is disseminated under the sponsorship

of the U.S. Department of Transportation in the interest

of information exchange. The United States Government

assumes no liability for the contents thereof.

___________

This publication and all Office of Aerospac

测试方法

The following is some information about the test method used by Intertek Testing Services, Hong Kong Limited, Toys, Food and Hardlines Division (if not specified by client) for the specific items.

Test Category: Toys and Children’s Articles

Country: United States Toys CPSC -- Marking requirements for toy guns

CPSC – Small ball test CPSC -- Bouncer ,Walker, Jumper

CPSC – Labelling requirement for marbles, small balls,

balloons and other small parts CPSC -- Flash point Test CPSC – Determination of sound pressure level CPSC – A

We show how to use the method of orthogonal polynomials for integrating, in the planar approximation, the partition function of one-matrix models with a potential with even or odd vertices, or any combination of them.

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aORTHOGONALPOLYNOMIALMETHODANDODDVERTICESINMATRIXMODELSEttoreMinguzzi1DipartimentodiFisicadell’Universit`a,Pisa56100,ItalyandINFN,SezionediPisaAbstract.Weshowhowtousethemethodoforthogonalpoly-nomialsforintegrating,intheplanarapproximation,thepartitionfunctionofone-matrixmodelswithap

LDPC码

IEEECOMMUNICATIONSLETTERS,VOL.9,NO.9,SEPTEMBER2005823

ACombiningMethodofQuasi-CyclicLDPCCodesbytheChineseRemainderTheorem

SehoMyungandKyeongcheolYang,Member,IEEE

Abstract—Inthispaperweproposeamethodofconstructingquasi-cycliclow-densityparity-check(QC-LDPC)codesoflargelengthbycombiningQC-LDPCcodesofsmalllengthastheircomponentcodes,viatheChineseRemainderTheorem.ThegirthoftheQC-LDPCcodesobtainedbytheproposedmethodisalwayslargerthanorequaltothatofeachcomponentcode.Byapplyingthemethodtoarraycodes,wepresentafamilyofhigh-ratereg

We show how to use the method of orthogonal polynomials for integrating, in the planar approximation, the partition function of one-matrix models with a potential with even or odd vertices, or any combination of them.

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Au

8

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1

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aORTHOGONALPOLYNOMIALMETHODANDODDVERTICESINMATRIXMODELSEttoreMinguzzi1DipartimentodiFisicadell’Universit`a,Pisa56100,ItalyandINFN,SezionediPisaAbstract.Weshowhowtousethemethodoforthogonalpoly-nomialsforintegrating,intheplanarapproximation,thepartitionfunctionofone-matrixmodelswithap

有关ADMM的相关内容

Alternating Direction Method of Multipliers

Prof S. BoydEE364b, Stanford University

source: Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers (Boyd, Parikh, Chu, Peleato, Eckstein)1

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Goals

robust methods for

arbitrary-scale optimization– machine learning/statistics with huge data-sets– dynamic optimization on large-scale network

decentralized optimization– devices/processors/agents coordinate to solve large problem, by passing relatively small messages

有关ADM