recommendation form资料非常多,小编这里为您筛选了一些可以优先参考的资料

分析化学第 21章 高效液相色谱法 High-Performance Liquid Chromatography, HPLC 70年代迅速发展不挥发有机物约占 70% 80年代以来 HPLC文献量 21% ( 89年)仪器销售量 25% ( 12 亿)( 89年)应用领域 拓展(化工、环保、临床、药品、生命)超过 GC第 21章 高效液相色谱 法 High-Performance Liquid Chromatography, HPLC21- 1 高效液相仪21- 2 固定相和流动相21- 3 色谱峰扩展及其影响因素21- 4 高效液相色谱法和主要分离类型21- 5 超临界流色谱第 21章 高效液相色谱 法 High-Performance Liquid Chromatography, HPLC1 高效液相色仪2 固定相和流动相 3 高效液相色谱法和主要分离类型4 超临界流体色谱第 21章 高效液相色谱 法21-1 高效液相色谱仪1、仪器结构、仪器结构单柱塞泵结构示意图 第 21章 高效液相色谱 法 21-1 高效液相色谱仪1、仪器结构 HPLC与 GC比较 a. 柱 长 :10—50 cm 内径 :2—5 mm 微柱◎ 填充柱微 HPLC 柱 0.5~1.0 m m毛细管 HPLC 柱 100~500 μm纳级 HPLC 柱 10~100 μm◎ 拉制 HPLC 柱 50~200μm◎ 开管 HPLC 柱 5~10μm第 21章 高效液相色谱 法 21-1 高效液相色谱仪2、掌握要点 微柱的优越性 :1、 消耗少(样、流动相、固定相)2、灵敏(溶质在柱上稀释比下降)3、分离效率高(可装长柱)4、操作条件易选择5、其它分离联用易第 21章 高效液相色谱 法 21-1 高效液相色谱仪2、掌握要点b、检测系统常用 UV光度检测(包括它的现代方法)引人注目:荧光检测 选择性 10-9~10-11 g/ml质谱检测 通用性 10-8 g/ml蛋白质分析生物质谱第 21章 高效液相色谱 法 21-1 高效液相色谱仪2、掌握要点C、 梯度林洗装置作用:让流动相的组成随时间而改变,以调节流动相的极性、离子强度或 pH, 使样品组分的相对保留值得以改变,从而提高分离效率。与 GC的程序升温技术比较 第 21章 高效液相色谱 法 21-1 高效液相色谱仪2、掌握要点 1、固定相分类材料的刚性 ( 刚性固体、硬质凝胶)
Biomonitoring?air?toxics?using?lichens.??Linda?Geiser,?US?Dept.?of?Agriculture-Forest?Service,?Pacific?Northwest?Region?Air?Resource?Management,?PO?Box?1148,?Corvallis?OR?97330Examples from US nationaWhat are lichens?Lichens?are??dual?organisms?consisting?of?a?fungus?and?an?alga+/or?cyanobacterium.British soldiers Button lichen Lung lichenWhat physiological properties make lichens useful indicators of air quality? ? High surface area and no roots.?Epiphytic?lichens?obtain?nutrients?from?the?air,?precipitation,?and?substrate?run-off.??TLichen monitoring methods used by the US Forest Service?Tissue?analysis?Community?analysis**?Not?covered?in?this?presentationTissue analysis ? The?best?target?species?are?pollution?tolerant,?abundant,?large,?and?broadly?distributed.? Baselines?should?be?established?over?3-4?years.? To?reduce?within-site?variation?and?obtainExamples from the western US and Alaska, 1989-2000#1. Establishing clean site ranges and delineating geographic areas of concernAlaska and Pacific Northwest RegionsRed?dots?indicate?monitoring?locations?where?lichen?community?surveys?and?tissue?analPacific Northwest and Alaska RegionsREFERENCE:?See?http://www.fs.fed.us/r6/aq?for?provisional?clean?site?ranges.Values?for?most?elements?had?similar?ranges?across?a?wide?geographic?and?climatic?gradie? For?management?purposes,?we?need?a?line–?what?range?is?typical?of?clean?sites???Above?what?value?should?tissue?concentrations?be?considered?elevated?? Created?clean?sites?database?by?removing?plots?Pacific Northwest and Al
The?Role?of?Lichens?in?Air?Quality?Monitoringon?Federal?LandsLinda?Geiser,?US?Dept.?of?Agriculture-Forest?Service,?Pacific?Northwest?Region?Air?Resource?Management,?PO?Box?1148,?Corvallis?OR?97330What information can lichen monitoring provide to air resource managers?What are lichens?Lichens?are??symbiotic?organisms?consisting?of?a?fungus?and?an?alga?and/or?a?cyanobacterium.British soldiers Button lichen Lung lichenWhat physiological properties make lichens useful indicators of air quality? ? Range of air pollution sensitivities across species. ?Lichens?exhibit?a?range?of?sensitivities?to?S-?&?N?compounds?in?acid?rain,?sulfur?dioxide,?ammonia,?and?fluoride.??Changes?in?distribution?or?populations?of?the?most?sensitive?lichens?provide?an?early?warning?that?air?pollution?is?beginning?to?adversely?affect?the?ecosystem.??The mix of species and abundances at any one site can be used to position the site along an air quality gradient.? High surface area and no roots.?Lichens?on?trees?and?shrubs?obtain?nutrients?from?the?air,?precipitation,?and?substrate?run-off.??Tissue levels of many pollutants are correlated with ambient atmospheric levels.?? Readily absorb water and lack specialized barriers to prevent vapor loss.??Daily?cycles?of?wetting?and?drying?produce?a?dynamic?equilibrium?between?concentration?and?leaching?of?pollutants. As pollution concentrations change, so do concentrations in lichens.??Mobile?elements:??S,?N,?K,?Ca,?Mg,?Na.?–?can?change?significantly?over?a?few?months.??Less?mobile?elements:??Pb,?Cd,?Ni—ch

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web presentation of lemon monitoring information 15P

web presentation of lemon monitoring information.ppt

Lemon Web MonitoringMiroslav ?iketCERN IT/FIOhttp://cern.ch/lemon-status26/05/2004 1HEPIX, Edinburgh, May 24-28Outlinen Conceptsn Design and architecturen Web visualizationn Deploymentn Current development26/05/2004 2HEPIX, Edinburgh, May 24-28Concepts of Monitoringn Monitoring information in Computer Centersn CERN ~ 2000 computers and ~70 clustersn Huge amount of data ~150 metrics per hostn High demand on organization of the information in easily accessible way and easily to parse n Variety of views for different groups of users – sysadmins, users, managersn Lemon – tries to do the job by incorporating many relatively new technologies26/05/2004 3HEPIX, Edinburgh, May 24-28Monitoring informationn We have generally three types of data:n Performance metrics:n CPU usage, load averages, memory use, disk use/performance, sockets, network, …n Exceptions:n High load, swap use over 90%, service down,… n Status information:n Uptime, boot time, kernel version,…n Heartbeatn All is gathered with different frequencies from 60s to 1 day/on boot.n About 1GB of data a day26/05/2004 4HEPIX, Edinburgh, May 24-28Lemon Architecture26/05/2004 5HEPIX, Edinburgh, May 24-28Components (I)n MSA (Monitoring Sensor Agent) and MS (Monitoring Sensor) - MS measures data and MSA provides transport to MRn MR (Monitoring Repository) with backend to Oracle, MySQL, flat file,…n Correlation Engine – framework for creating metric correlationsn Alarm Broker (prototype) – daemon for handling exceptions and communication between alarm GUI and MR26/05/2004

上传时间:2019/10/16 15:56:01 / 30帮币 / 页数15
view the ect registration information seminar - victorian institute of 24P

view the ect registration information seminar - victorian institute of.ppt

Registering?Early?Childhood?TeachersInformation?seminars??MAY/JUNE?2015Early Childhood Teacher RegistrationSeptember?2014Welcome?to?the?professionWhy?do?early?childhood?teachers?need?to?be?registered?? Recognition?as?teaching?professionals? Support?for?early?childhood?teachers?new?to?the?profession? Provides?protection?to?the?public?and?the?profession? Reduction?of?the?regulatory?burdenEarly Childhood Teacher RegistrationSeptember?2014Welcome?to?the?professionWhat?benefits?does?registration?provide?for?early?childhood?teachers?Recognition?as?a?teaching?professional?who?is:? Qualified? Suitable?to?teach?(including?a?clear?criminal?record)? Maintains?current?practiceEarly Childhood Teacher RegistrationSeptember?2014Information?session:?program1. The?Victorian?Institute?of?Teaching?–?what?does?it?do?2. What?does?the?register?look?like?3. Who?is?eligible?for?registration?4. Who?has?to?be?registered?5. What?are?the?requirements?to?register?6. Timeline7. Other?information8. QuestionsEarly Childhood Teacher RegistrationSeptember?2014What?is?the?Institute?? Regulates the Victorian teaching profession in the public interest? Independent government statutory authority? Reports to the Victorian Parliament through the Minister for Education? Self-fundedEarly Childhood Teacher RegistrationSeptember?2014Governance?structureCouncil?of?the?Institute?of?Teaching12?members?with?relevant?skills,?experience?and?qualifications?? 11?appointed?by?the?Governor?in?Council? from?which?the?Minister?nominates?a?Chairperson?and?Deputy?Chairper

上传时间:2019/10/16 15:56:01 / 30帮币 / 页数24
tcp performance monitoring 32P

tcp performance monitoring.ppt

Jennifer RexfordFall 2014 (TTh 3:00-4:20 in CS 105)COS 561: Advanced Computer Networkshttp://www.cs.princeton.edu/courses/archive/fall14/cos561/TCP Performance Monitoring(and Pyretic background)Assignments?Buffer bloat–Extension till 3pm Tuesday October 14?Next assignment: two options–BGP measurement? Study BGP (in)stability “in the wild”? If you haven’t taken COS 461? TA: Linpeng Tang –SDN firewall? Build an SDN controller application on Pyretic? If you haven’t taken the fall 2013 SDN grad seminar? TA: Xin Jin –If you didn’t take either course, you can pick one!2Applications Inside Data Centers3Front end ServerAggregator Workers….…. …. ….Challenges of Datacenter Diagnosis?Large complex applications–Hundreds of application components–Tens of thousands of servers?New performance problems–Update code to add features or ?x bugs–Change components while app is in operation?Old performance problems (Human factors)–Developers may not understand network well –Small packets, delayed ACK, etc.4Diagnosis in Data Centers5HostAppOS Packet snifferApp logs:#Reqs/secResponse time1% req.>200ms delaySwitch logs:#bytes/pkts per minutePacket trace:Filter out trace for long delay req.SNAP:Diagnose net-app interactionsApplication-specificToo expensiveToo coarse-grainedGeneric, fine-grained, and lightweightCollect Data in TCP Stack? TCP understands net-app interactions–Flow control: How much data apps want to read/write–Congestion control: Network delay and congestion? Collect TCP-level statistics–Defined by RFC 4898–Already exists in to

上传时间:2019/10/16 15:55:01 / 30帮币 / 页数32
monitoring and information systems 29P

monitoring and information systems.ppt

Monitoring and Information Systemsn Project monitoring definedn The plan-monitor-control cyclen Designing the monitoring systemn Behavioral aspects of monitoringn Earned value analysisn Earned value examples1Project Monitoring Definedn Collecting, recording, and reporting information concerning any and all aspects of project performance that the project manager or others wish to know2Effective Monitoring Precedes Controln In Chapter 11, we’ll look at Project Controln Ensuring that actuals mesh with the plann But effective control requires good informationn Such pertinent and timely information comes from an accurate monitoring system3Monitoring Has Several Usesn The primary use is project controln Ensuring that decision-makers have timely information enabling effective control over the projectn Project Monitoring has secondary usesn Project auditingn “Lessons learned”n Reporting to client and senior management4The Planning-Monitoring-Controlling Cyclen Effective monitoring and control begins with good project planningn What are the critical areas?n How and when can progress be measured?n Who gathers and reports info, to whom?n The plan-monitor-control cycle continues through the entire project5Project Control Information Flow, Figure 10-16Designing the Monitoring Systemn 1. Start with the key factors to be controlledn Pareto analysis: a relatively few activities determine most of the project’s successn Use the project plan to identify items to be monitoredn Although other areas might be added also7Designing the M

上传时间:2019/10/16 15:52:01 / 30帮币 / 页数29
jefferson blood glucose monitoring - accu-chek inform ii 33P

jefferson blood glucose monitoring - accu-chek inform ii.ppt

Jefferson Blood Glucose Monitoring -Accu-Chek Inform IIContent Experts:Lilah Evans MT (ASCP),Sue Gallo MT (ASCP),Terri Schwartz MSN, RNLearning ObjectivesAt?the?conclusion,?participants?should?be?able?to:?Demonstrate?how?to?perform?a?patient?test?on?the?Accu-chek?Inform?II?glucose?meter.?Discuss?how?to?perform?Quality?Control?testing?on?the?Accu-chek?Inform?II?glucose?meter.?Recall?how?to?properly?handle?glucose?reagents.?Discuss?cleaning?and?troubleshooting?of?the?meters.Glucose System Components?Accu-Chek?Inform?II?meter?w/?rechargeable?battery?Base?unit–charges?battery,?receives?patient?&?reagent?info?from?system?Storage?Case?–?conveniently?stores?and?transports?meter?and?supplies?Quality?Control?–?2?vials?of?liquid?quality?control?(“hi/lo”)?Testing?Strips?–?small?sample?volumeOverview of Front of Glucose MeterTest?strip?portAlphanumeric?touch?screenPower?buttonGlucose Meter Base Unit? Return?the?Inform?II?meter?to?any?base?unit?when?finished?with?patient?testing?to?charge?the?battery.? A?drained?battery?will?take?1?hour?to?reach?full?charge.? Docking?the?meter?also?synchronizes?the?information?in?the?meter?with?the?system?(patient?lists,?operator?lists,?strips?and?controls).Glucose Reagents?Only?Accu-Chek?Inform?II?Test?Strips?and?Glucose?Control?Solutions?can?be?used?with?the?hospital?Inform?II?glucose?meter.Glucose Test Strip? Test?strips?are?stored?in?the?tightly?capped?original?container.??There?is?a?dessicant?in?the?cap?that?keeps?the?strips?from?being?exposed?to?humidity.? The?container?must?remain?closed

上传时间:2019/10/16 15:51:01 / 30帮币 / 页数33
assessmentprogress monitoring using informal reading 32P

assessmentprogress monitoring using informal reading.ppt

FLUENCYAssessing & Teaching this KEY Reading SkillJan Hasbrouck, Ph.D.Seattle, WAWHAT IS READING FLUENCY?The ability to read§ accurately§quickly §with expressionWHO ARE THESE STUDENTS? DESCRIPTORS:§ Read haltingly§ Slow, laborious readers§ Read word—by—word§ Uncertain of sight words§ Ignore punctuationREAL TARGET: Comprehension & Motivation Multiple Causes of Comprehension Problems:§ Lack of sufficient background knowledge§ Lack of sufficient language foundation§ Fails to organize & use information to understand--Does not realize when s/he fails to understand§ Decoding/fluency skills poorNational Reading Panel (2000)Five Key Instructional Components§ Phonemic Awareness§ Phonics§ Fluency§ Vocabulary§ Comprehension StrategiesWHY IS FLUENCY SO IMPORTANT? § Comprehension limited by labored, inefficient reading (working memory)§ Lack of fluency = lack of motivation = fewer words read = smaller vocabulary = limited comprehension (self-perpetuating)§ “There is no comprehension strategy that compensates for difficulty reading words accurately & fluently.” (Torgeson, 2003)Bridge to ComprehensionFluency forms the bridge between word recognition & comprehensionIdentifying WordsConstructingMeaningFLUENCYMEASURING READING FLUENCYthe number of words in text read correctly per minute (wcpm) or…letters, sounds, words#1 FINDING students who may need intervention assistance in reading#2 DIAGNOSING fluency

上传时间:2019/10/16 15:48:00 / 30帮币 / 页数32
flag–hsl7catalysestheformationofmmaincalfthymus 1P

flag–hsl7catalysestheformationofmmaincalfthymus.ppt

FLAG–Hsl7?catalyses?the?formation?of?MMA?in?calf?thymus?histone?H2A?Substrates?were?incubated?with?[3H]AdoMet?and?enzyme,?and?the?reaction?mixture?was?precipitated?with?trichloroacetic?acid,?acid-hydrolysed?and?analysed?by?amino?acid?analysis?as?described?i...Tina?Branscombe?Miranda?et?al.?Biochem.?J.?2006;395:563-570?2006 by Portland Press Ltd

上传时间:2019/10/16 15:32:00 / 8帮币 / 页数1
determiningtheempiricalformulaofcopperchloride 22P

determiningtheempiricalformulaofcopperchloride.ppt

Determining the Empirical Formula of Copper ChloridePurpose of the ExperimentDetermine the empirical formula of a compound containing only copper and chlorineThe molecular weight is the mass, in grams, of one mole of a compound.Molar Mass or Molecular WeightH2O MWt = 18.0148 g/molAlCl3 MWt = 133.341 g/molPercentage CompositionThe percentage composition is the percent of a compound’s mass that results from each of its constituent elements.For ethanol, C2H5OH,2 ? 12.011 g/mol C = 24.022 g/mol of C2H5OH6 ? 1.008 g/mol H = 6.048 g/mol of C2H5OH1 ? 15.999 g/mol O = 15.999 g/mol of C2H5OHMolecular Weight = the sum = 46.069 g/mol of C2H5OH % C = (24.022 g/mol ÷ 46.069 g/mol) ??102 = 52.14 %% H = ( 6.048 g/mol ÷ 46.069 g/mol) ??102 = 13.13 %?% O = (15.999 g/mol ÷ 46.069 g/mol) ??102 = 34.73 % Sum = 100 %Empirical FormulaThe empirical formula is the simplest whole-number ratio of the atoms in a compound. Examples: benzene, CHphosphorus pentoxide, P2O5Molecular FormulaThe molecular formula is the simplest whole-number ratio of the atoms in a single molecule of a compound.Examples: benzene, C6H6phosphorus pentoxide, P4O10Schematic diagram of the combustion device used to analyze substances for carbon and hydrogenCxHy + O2 -- y/2H2O + xCO2excess A white compound has been analyzed and found to contain 43.6 wt. % phosphorous and 56.4 wt. % oxygen. In a separate study it molecular weight has been found to be 284 g/mol. What is the empirical formula of this compound?Assume exactly 100 g of the compound, then one has43

上传时间:2019/10/16 15:31:00 / 8帮币 / 页数22
第四章快速傅立叶变换fastfouriertransform 61P

第四章快速傅立叶变换fastfouriertransform.ppt

第四章第四章 快速傅立叶变换快速傅立叶变换Fast Fourier Transform 第一节 直接计算 DFT的问题及改进途径1、问题的提出 设有限长序列 x(n), 非零值长度为 N, 若对 x(n)进行一次 DFT运算,共需 多大的运算工作量 ?计算成本 ?计算速度 ?2. DFT的运算量 回忆 DFT和 IDFT的变换式: 1) x(n)为 复数 , 也为 复数 。2) DFT与 IDFT的 计算量相当。注意: 计算机运算时(编程实现): N次复乘,次复乘, N-1次复加次复加 N个点个点 以 DFT为例: 复数乘法 复数加法一个 X(k) N N – 1N个 X(k)(N点 DFT)N 2 N (N – 1)实 数乘法 实 数加法一次复乘 4 2一次复加 2一个 X (k) 4N 2N+2 (N – 1)=2 (2N – 1)N个 X (k)(N点 DFT)4N 2 2N (2N – 1)运算量(a+jb)(c+jd)=(ac-bd)+j(bc+ad)例:计算一个 N点 DFT , 共需 N2次复乘 。以做一次复乘 1μs计,若 N =4096, 所需时间为例:石油勘探,有 24个通道的记录,每通道波形记录长度为 5秒,若每秒抽样 500点 /秒,1)每道总抽样点数: 500*5=2500点 2) 24道总抽样点数: 24*2500=6万点3) DFT复乘运算时间: N2=(60000)2=36*108次 由于计算量大,且要求 相当大的内存 , 难以实现实时处理 ,限制了 DFT的应用。长期以来,人们一直在寻求一种能 提高 DFT运算速度 的方法。FFT便是 Cooley & Tukey 在 1965 年提出的的快速算法,它可以使运算速度提高几百倍,从而使数字信号处理学科成为一个新兴的应用学科。第二节 改善 DFT运算效率的基本途径1、利用 DFT运算的系数 的固有对称性和周期性,改善 DFT的运算效率。1)对称性2) 周期性3)可约性2、将长序列 DFT利用对称性和周期性分解为短序列 DFT的 思路因为 DFT的运算量与 N2成正比的,如果一个 大点数 N的 DFT能分解为 若干小点数 DFT的组合 ,则显然可以达到 减少运算工作量 的效果。N点DFTN/2点DFTN/2点DFTN/4点DFTN/4点DFTN/4点DFTN/4点DFT…….复乘: FFT算法的基本思想:? 利用 DFT系数的特性,合并 DFT运算中的某些项? 把长序列 DFT→ 短序列 DFT, 从而减少运算量。FFT算法分类 :时间抽选法DIT: Decimation-In-Time频率抽选法DIF: Decimation-In-Frequency第三节 按时间抽选的基 2-FFT算法1、算法原理设输入序列长度为 N=2M(M为正整数,将该序列按时间顺序的奇偶分解 为越来越短的子序列,称为基 2按时间抽取的 FFT算法。也称为 Coolkey-Tukey算法。其中 基 2表示: N=2M, M为整数 .若不满足这个条件,可以人为地加上若干零值( 加零补长 )使其达到 N=2M。先将 x(n)按 n的奇偶分为两组,作变量置换 :当 n=偶数时,令 n=2r;当 n=奇数时,令 n=2r+1;? 分组,变量置换2、算法步骤得到:? 带入 DFT中所以 由于? X1(k)、 X2(k)只有 N/2个点,以 N/2为周期;而 X (k)却有 N个点,以 N为周期。要用 X1(k)、 X2(k)表达全部的X (k) 值

上传时间:2019/10/16 15:26:00 / 10帮币 / 页数61
管理信息系统 information systems in business today 43P

管理信息系统 information systems in business today.ppt

Management Information SystemsMANAGING THE DIGITAL FIRM, 12TH EDITION, GLOBAL EDITIONINFORMATION SYSTEMS IN BUSINESS TODAYChapter 1VIDEO CASESCase 1: UPS Global Operations with the DIAD IVCase 2: IBM,Management Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAY? Understanding the effects of information systems on business and their relationship to globalization.? Explain why inforManagement Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAY? Define complementary assets and explain how they ensure that information systems provide genuine value to an organizatioManagement Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAY? Problem: How to keep in contact with the various parties of the wood production and procurement chain? Solutions: Use inManagement Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAY? How information systems are transforming business– Increase in wireless technology use, Web sites– Increased business usManagement Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAYThe Role of Information Systems in Business TodayInformation Technology Capital InvestmentInformation technology capital iManagement Information SystemsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TODAY? In the emerging, fully digital firm– Significant business relationships are digitally enabled and mediated– Core businesManagement Information SystemsRead the Interactive Session and discuss the following questionsCHAPTER 1: INFORMATION IN BUSINESS SYSTEMS TOD

上传时间:2019/10/16 15:20:00 / 15帮币 / 页数43
麦肯光明-asymmetric information 30P

麦肯光明-asymmetric information.ppt

Asymmetric Information? asymmetric v imperfect information? strategic misrepresentation? adverse selection? appraisal? screening? signalingManagerial Economics 1Zhigang TaoQuestion-1? “Life insurance for everyone: No questions asked, no medical examination.” Good or bad deal?Managerial Economics 2Zhigang TaoQuestion-2? Suppose a medical insurer decides to cover pregnancy, should it offer pregnancy as an option or as part of the basic program? Managerial Economics 3Zhigang TaoQuestion-3? How to convince a potential employer that you are loyal and productive? Managerial Economics 4Zhigang TaoImperfect Information? distinguish:– imperfect information– asymmetric information? risk: uncertainty about benefits or costs– arises from imperfect information – risk aversion– insurance Managerial Economics 5Zhigang TaoBargain Over a Trade? The buyer’s value is expected to be either $1 (20%) or $3 (80%). ? The seller’s cost is expected to be either $0 (80%) or $2 (20%). ? Only the buyer knows the true value, and only the seller knows the true cost. Managerial Economics 6Zhigang TaoEfficient OutcomesManagerial Economics 7Zhigang TaoStrategic Misrepresentation? Sometimes it is impossible to find any prices that always make it in the parties’ individual interest to report truthfully and to trade whenever trade is value increasing. ? Efficient trade is more difficult to achieve when the probability of seller (buyer) having low cost (high value) is higher.Managerial Economics 8Zhigang TaoA Paradox? It is possible and profitable for

上传时间:2019/10/16 15:09:00 / 30帮币 / 页数30
+-ag+-cosynonymssediment-hostedstratiformcopper, 49P

+-ag+-cosynonymssediment-hostedstratiformcopper,.ppt

SEDIMENT-HOSTED Cu +/-Ag +/-CoSYNONYMS:?Sediment-hosted?stratiform?copper,?shale-hosted?copper,?Kupferschiefer-type,?redbed Cu,?Cu-shale,?sandstone?Cu.COMMODITIES (BYPRODUCTS):?Cu, Ag?(Co,?Pb,?Zn,?rarBlack carbonaceous shale-hosted copper deposits These?stratiform?deposits?account?for?a?significant?proportion?of?the?world''s?copper?reserves.?Two?main copper provinces:?the Upper Proterozoic Zambian The?main sulphides?of?the?unmetamorphosed?Kupferschiefer?are?fine-grained?pyrite, chalcocite, galena, sphalerite, digenite, djurleite, bornite, chalcopyrite and covelline.?Minor minerals?include?aniliSedimentary-hosted copper deposits.??Galena?(white,?bottom?right)?cements?quartz?(dark?grey,?well?polished,?right)?and?feldspar?(dark?grey,?less?well?polished,?centre).?An?aggregate?of?small?pyrite?(yRed bed copper deposits.??Chalcopyrite?(yellow,?centre?top)?is?the?main?cement?and?is?altered?along?its?edges?to?covelline?(deep?blue,?centre?left)?and?limonite?(medium?grey,?centre?top).?Sphalerite?(GEOLOGICAL CHARACTERISTICSDESCRIPTION:?Stratabound?disseminations?of?native copper, chalcocite, bornite and chalcopyrite?in?a?variety?of?continental sedimentary rocks?including?black?shale,?sandstone?DEPOSITIONAL ENVIRONMENT / GEOLOGICAL SETTING:?The?characteristic?presence?of?redbed and evaporite sequences points to deposition of sediments in a hot, arid to semi-arid paleoclimate near the paleoeqSediment-hosted Cu depositsZechstein,?Germany,?Poland260?MaCopperbelt,Zaire,?Zambia900?MaRedbed Cu depositsBolivia,45?MaCopperbelt,Zaire,?Z

上传时间:2019/10/16 15:02:00 / 8帮币 / 页数49
highefficiencytransformationoftallfescuewithagrobacterium 16P

highefficiencytransformationoftallfescuewithagrobacterium.ppt

High efficiency transformation of tall fescue withAgrobacterium tumefaciensShujie Dong, Rongda Qu *Plant Science 168 (2005) 1453–1458生科四甲 李廷原 91390604High efficiency transformation of tall fescue withAgrobacterium tumefaciensPlant Science 168 (2005) 1453–1458Shujie Dong, Rongda Qu *Department of Crop Science, North Carolina State University, Raleigh, NC 27695-7620, USAReceived 22 December 2004; accepted 14 January 2005Available online 2 February 2005IntroductionImprovement on important agronomic traits, such as disease resistance and abiotic stress tolerance, would be very helpful for agronomic.Genetic engineering has opened new avenues to the modification,and provides us an alternative approach to meet specific breeding goals .Establishment of high frequency transformation system would greatlyfacilitate the efforts for grass improvement via genetic engineering.First attempts to introduce foreign DNA into tall fescue were through the protoplast and Agrobacterium tumefaciens-mediated transformation of tall fescue . Materials and methodsn Plant materials and tissue culture conditionn Agrobacterium strains and vectorsn Transformation proceduren GUS histochemical assay and Southern analysisn Inheritance study of the transgenic plantMaterials and methodsn Plant materials and tissue culture conditionn Agrobacterium strains and vectorsn Transformation proceduren GUS histochemical assay and Southern analysisn Inheritance study of the transgenic plantpCAMBIA R-gene plantsR-gene bacteriaPolylinker ReporterGeneT-DNA size (b

上传时间:2019/10/16 14:56:00 / 8帮币 / 页数16
tmc performance monitoring, evaluation, & reporting 43P

tmc performance monitoring, evaluation, & reporting.ppt

TMS Performance Monitoring, Evaluation, & ReportingUniversity of Virginia&SAICPresentation Outline? Subject overview? Performance measures? Performance measurement program? Data? Performance monitoring, evaluation, and reporting? Handbook informationTransportation Management Systems? The deployed form of ITS, along with human resource contribution, toward transportation management? Includes computer hardware, software, communications, surveillance technology? TMC is a physical facility that houses central equipment, software, and personnel that operate TMSPerformance Monitoring, Evaluation, & Reporting? Monitoring is ongoing internal process where system conditions are examined through collected data? Evaluation is process where collected data is analyzed and compared to set benchmarks.? Reporting provides the results of the evaluation for the stakeholders.Performance Measures? Provide quantifiable indicators of program effectiveness and efficiency? Help to determine progress toward specific program goals and objectives? Help to determine priority projects, goal/objective refinements, and fund allocationPerformance Measure Types? Inputn Supply of resources? Outputn Delivery of transportation programs, projects, and services? Outcomen Degree to which transportation system meets policy goals and objectivesPerformance Measure TypesCriteria for Defining Performance Measures? Purpose? Validity? Precision? Accuracy? Cost-effectivenessTMS/TMC Functions? Incident Management – General MeasuresMetric Type Supplementary Notes

上传时间:2019/10/16 14:54:00 / 30帮币 / 页数43
生命情報学-kyotouniversitybioinformaticscenter 43P

生命情報学-kyotouniversitybioinformaticscenter.ppt

生命情報学 (7)タンパク質構造解析阿久津 達也京都大学 化学研究所バイオインフォマティクスセンタータンパク質立体構造アミノ酸とタンパク質n アミノ酸:20種類n タンパク質:アミノ酸の鎖(短いものはペプチドと呼ばれる)タンパク質の種類と高次構造n タンパク質の分類q 球状タンパク質q 繊維状タンパク質q 膜タンパク質n 一次構造(アミノ酸配列)n 二次構造 (α、β、それ以外(ループ、コイル))n 三次構造(三次元構造、立体構造)n 四次構造(複数の鎖)タンパク質立体構造の決定n 主に X線結晶解析か NMR解析によるq 一般に X線解析の方が精度が高いq しかし、結晶中の構造しかわからないn アミノ酸配列決定より困難q 半年から1年くらいかかることも珍しく無いn 既知アミノ酸配列 >> 10万n 既知立体構造 < 数万タンパク質立体構造の特徴n 基本的には鎖(ひも)状n 二種類の特徴的な構造が頻繁に現れ、立体構造の骨格(コア)を作るq αへリックス (らせん状の部分)q βシート(ひも状の部分が並んだ部分)タンパク質立体構造の例(1)立体構造 :Cα原子の座標列で概要がわかるαへリックスと βシートが構造の骨格を形成タンパク質立体構造の例(2)タンパク質立体構造の例(3)構造とアミノ酸の種類の関係n (球状)タンパク質q 内側:疎水性アミノ酸 外側:親水性アミノ酸n αへリックスq 内側:疎水性 外側:親水性n βストランドq 疎水性と親水性が交互に現れるn ループ領域q 親水性が高い立体構造アラインメントタンパク質立体構造比較の必要性n 立体構造と機能の間には密接な関係n 配列が似ていなくても構造類似の タンパク 質が多数存在n 構造分類データベースq SCOP(人間が分類)q FSSP(DALIプログラムにより分類)q CATH(SSAPプログラムなどにより分類)立体構造アラインメントn 立体構造の 類似性判定 のために有用n どのように 回転、平行移動 すれば、 最適な残基間の対応づけ (アラインメント)が得られるかを計算n 配列アラインメントの場合と異なり、決定版というようなアルゴリズムが無い構造アラインメント例 ヘモグロビンミオグロビンRMSD(Root Mean Square Deviation)n 点( e.g., Cα原子)の 対応関係がわかっている場合に最適な重ね合わせ となる回転?平行移動 を計算n 行列計算により O(n) 時間 で計算可能p1p2p3p4q1q2q3q4T構造アラインメントプログラム : stralignn 広くは利用されていないが、理論(計算幾何学)的考察に基づいてアルゴリズムが設計されている問題の定義入力 : 3次元点列 : P=( p1,…, pm ), Q=(q1,…, qn),および、 実数 δ   (m ≦ n とする)出力 : 以下を満たし、かつ、長さ(アラインされる点のペアの個数)が最大となる P,Q 間のアラインメント M (および、付随する平行?回転移動 T )stralign の基本アルゴリズム n M0← {}n for all triplets PP=(pi1,pi2,pi3) from P don for all triplets QQ=(qj1,qj2,qj3) from Q don Compute rigid motion TPP,QQ from PP to QQn Compute alignment M between TPP,QQ(P) and Qn if |M| > |

上传时间:2019/10/16 14:54:00 / 10帮币 / 页数43
objectives formative and summative assessment - missouri state 41P

objectives formative and summative assessment - missouri state.ppt

Learning Goals, Objectives and State StandardsElementary?Teacher?Education?ProgramMissouri?State?University? Guiding?Question:?What?is?a?standards-based?learning?goal?and?objective??Learning?Goal?1:??The?TC?will?know?that?a?learning?goal?states?the?standards-based?information?students?will?know?when?the?lesson?is?complete;?learning?goals?are?stated?in?the?“The?student?will?know?tLearning?Goal?1----Objectives:??Obj.?1.??The?TC?will?identify?(select)?all?well-written?standards-based?learning?goals?when?reviewing?his/her?own?TWS.Obj.?2???The?TC?will?identify?(select)?all?learninLearning?Goal?2----Objectives:??Obj.?1.??The?TC?will?identify?(choose)?all?well-written?standards-based?objectives?when?reviewing?his/her?own?TWS.Obj.?2???The?TC?will?identify?(choose)?all?objectives?A well written learning goal……Focuses on the standards-based concepts and information the student will learn……not?on?learning?activities?he?or?she?will?do.Focus?on?CONCEPTS,?rather?than?on?activities.Learning Goals are…? . . . specificLearning?goals?are?very specific.?This?means?that?they?should?describe?precisely?the?standards-based?information,?concepts?or?ideas?the?learner?is?expected?to?know?aLearning Goals…? . . .describe the knowledge students will acquire through lesson activities. Learning?goals?describe the knowledge the student will construct in his/her brain.?This?means?that?learninLearning?GoalSS?1.1.A.K?-----Identify?why?laws?and?rules?are?made.LG-----The?student?will?know?that?laws?ands?rules?are?made?to?keep?us?safe.??Parents,?teache

上传时间:2019/10/16 14:50:00 / 30帮币 / 页数41
monitoring information system 20P

monitoring information system.ppt

Monitoring Information SystemMember State: ITALYProgramming Period 2000/2006PresuppositionsThe construction of Monitoring information system for the programming period 2000/2006 was based on the following key factors: ?previous italian experience gained during the programming period 1994/99?new regulations by the E.U. Council on the Structural Funds?improvements in information tecnology and internet communicationsObjectivesItalian monitoring information system is aimed at:?providing the Monitoring Commettees with the information about the implemention of the interventions financed by the Funds?providing the evaluation operations, the declarations of expenditure/requests of payment with the necessary data?filling a central database with the data related to the implemention of assistanceFunctionsFunctions managed by the Italian monitoring information system include:? entering data per operation, made by final beneficiaries? collecting and aggregating data by measures and interventions, made by management authorities? storing data at the Ministry of Treasury’s database, responsible for spreading official information on the implementation of assistanceTools?software distributed at the management authorities and the final beneficiaries, to enter data concerning the implementation of the interventions?central database at the Ministry of Treasury Information System, to collect and stock data?communication networks, to allow both the management authorities to forward data to the central database and Italy to exchange the

上传时间:2019/10/16 14:49:00 / 30帮币 / 页数20
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