(e,e'N) and (e,e'NN) experiments at NIKHEF, Mainz and JLab and open problems in one- and tw
全新版大学英语(第二版)综合教程1 Unit6课件
Paragraph Writing
Tips for Para. writing
Part I Pre-reading Task Listen to the recording two or three times and then think over the following questions: 1. What do you know about Michael Jackson? 2. How does he feel about Ben? Why? 3. Do you think the song Ben reveals something about the relationship between man and animals? If so, what is it? 4. Is the song related to the theme of the unit — animal intelligence? How?
Tale of a Whale Why would an animal want to cooperate with a human? Behaviorists would say that animals cooperate when they learn it is in their interest to do so. This is true, but I don't think it goes far enough. Gail Laule, a consultant on animal behavior, speaks of Orky, a killer whale, she knew. "Of all the animals I've worked with, he was the most intelligent," she says. "He would assess a situation and then do something based on the judgments he made." Like the time he helped save a family member. When Orky's mate, Corky, gave birth, the baby did not thrive at first, and keepers took the little whale out of the tank by stretcher for emergency care. Things began to go wrong when they returned the baby whale to the tank. As the workers halted the stretcher a few meters above the water, the baby suddenly began throwing up through its mouth. The keepers feared it would choke, but they could not reach the baby to help it. Apparently sizing up the problem, Orky swam under the stretcher and allowed one of the men to stand on his head, something he'd never been trained to do. Then, using his tail to keep steady, Orky let the keeper reach up and release the 420-pound baby so that it could slide into the water within reach of help.
翻译
2. We _______________(使我们的行为符合别人的)based on a constant mental process of appraisal and interpretation.
4. Only when the workers’ demands are satisfied
解析:本题考查only修饰的状语放在句首,主谓要倒装。Will they return to work已经给出暗示。此外,only+副词,only+介词短语置于句首,主谓也要倒装。如:Only with the aid of telescope can he observe the celestial bodies.(只有借助望远镜,他才能观测到天体。)值得注意的是:如果句首only修饰的是主语,则不需要倒装。如:Only Tom has been to the small island once before.(只有汤姆以前去过那个小岛一次。)
5. one of those who have witnessed the accident
解析:本题考查句型be one of… 与be the only one of…的辨析。但one前面有the only修饰时,从句中的谓语动词用单数,如:She is the only one of the girls who shows special aptitude in singing and dancing.(她是这些女孩子中唯一在歌舞方面有特长的人。)
5. The two countries broke off diplomatic relationship
【优秀】英语书面表达“五步成文法”导学案例
One possible version Glad to get your letter. I think I’m having a different life from th
Junior High School. In Junior we started classes at 8 a.m. and
• 第三步:选择合适的时态和语态,用恰当的英语句子,列出各要 点:
1I have made a survey about having extra lessons during the
• holidays.
2Both teachers and students are very tired and need holidays
第一步:仔细审题,提炼要点 第二步:根据要点,选择熟悉的词汇、短语或句式
1就……进行调查
make a survey on/about
2假假劳期期累需补b要e课休ti息redneehdavehoelidxtaryas
lessons to relax
and
rest
3.有益于
发展兴趣develop one’s interest
•
•第四步:选择恰当的相关连接词汇和过渡语句
•
•1根据这篇作文内容,选择如下词语和句子:
•最近recently
•2(过渡句)下面是调查结果
•The following is the result.
•3教师不同意假期补课 and来自learn something more
•4在他们看来in their opinion
•InTeJunaiocr hweerstsarted are classes aat g8 aai.nst giving extra
机械设计方面的外文参考文献
Set of NN weights w!p) li=1, ... ,NW;p=l, ... ,L
Stage III Computation of membership functions for NN weights
FuzyNN with weights membership functions Pi = p(w~p»
inequalities (l-2KIL)::;; IX < (l-2(K-I)/L , where: K = kLa . Ita - numbers of
weight values on the left or right hand sides of w, respectively. In case of a E
There are three possibilities to formulating fuzzy networks. The first one corresponds to the neural network with crisp parameters (called for short NN weights) and performing computations on interval variables [8]. Much advanced are NNs with crisp inputs and outputs but their processing is performed on fuzzyfied variables with fuzzy reasoning rules, cf. fuzzy inference systems [4]. The third class is associated with full fuzzification of transmitted signals, NN weights and neurons of a fuzzy NN [2]. A more numerically efficient approach depends on joining simple membership functions of signals and NN parameters with interval arithmetics [7].
高三英语情景对话完形填空题40题
高三英语情景对话完形填空题40题1A Day at SchoolToday was an exciting day at school. We had a lot of activities and discussions in our classes. In the morning, we had a lively debate in our history class. The students were actively engaged and shared their different opinions. After that, we had a break and I went to the cafeteria to have a snack. I met my friends there and we had a great time chatting and laughing.In the afternoon, we had a science experiment. We were all very curious and eager to see the results. The teacher explained the procedure clearly and we followed it step by step. It was really interesting to see how things worked. After school, I went to the library to study for my upcoming exams.1. I met my friends in the cafeteria and we had a great time ___ and laughing.A. chattingB. singingC. dancingD. reading答案:A。
7. Emission and Absorption
Welcome Unit 单词知识点 课件高中英语人教版(2019)必修第一册
Her most annoying habit was eating with her mouth open. 辨析: annoyed是-ed形容词,指及人的表情、声音等。 annoying是-ing形容词,指事物。
常用搭配 exchange student 交换生 in exchange for...作为··……的交换 exchange sth for sth 用某物交换某物 exchange sth with sb 与某人交换/交流某物 Lily gave me a book in exchange for a CD.莉莉给我一本书来 交换一张激光唱片。 I want to exchange my book for her map.我想拿我的书交换她 的地图。
frightened [ˈfraɪtnd]
awkward [ˈɔːkwəd]
annoyed [əˈnɔɪd]
lecture [ˈlɛkʧə]
experiment [ɪksˈpɛrɪmənt]
I was frightened and annoyed
to give lectures and organized
watching her.
尴尬的
核心词汇
10. confidence n.信心;信任 confident adj.自信的;有把握的;有信心的;确信的
常见搭配 be confident of/about (doing) sth对(做)某事有把握 be confident about sb对某人有信心 be confident (that)...确信……
Tukeyshonestlysignificantdifference(HSD)test
In Neil Salkind(Ed.),Encyclopedia of Research Design.Thousand Oaks,CA:Sage.2010Tukey’s Honestly Significant Difference(HSD)TestHerv´e Abdi·Lynne J.Williams1OverviewWhen an analysis of variance(anova)gives a significant result,this indicates that at least one group differs from the other groups.Yet,the omnibus test does not inform on the pattern of differences between the means.In order to analyze the pattern of difference between means,the anova is often followed by specific comparisons,and the most commonly used involves comparing two means(the so called“pairwise comparisons”).An easy and frequently used pairwise comparison technique was developed by Tukey under the name of the honestly significant difference(hsd)test.The main idea of the hsd is to compute the honestly significant difference(i.e.,the hsd) between two means using a statistical distribution defined by Student and called the q distribution.This distribution gives the exact sampling distribution of the largest difference between a set of means originating from the same population. All pairwise differences are evaluated using the same sampling distribution used for the largest difference.This makes the hsd approach quite conservative.Herv´e AbdiThe University of Texas at DallasLynne J.WilliamsThe University of Toronto ScarboroughAddress correspondence to:Herv´e AbdiProgram in Cognition and Neurosciences,MS:Gr.4.1,The University of Texas at Dallas,Richardson,TX75083–0688,USAE-mail:******************/∼herve2Tukey’s Honestly Significant Difference(HSD)Test 2NotationsThe data to be analyzed comprise A groups,a given group is denoted a.The number of observations of the a-th group is denoted S a.If all groups have the same size it is denoted S.The total number of observations is denoted N.The mean of Group a is denoted M a+.Obtained form a preliminary anova,the error source(i.e.,within group)is denoted S(A),the effect(i.e.,between group)is denoted A.The mean square of error is denoted MS S(A)and the mean square of effect is denoted MS A.3Least significant differenceThe rationale behind the hsd technique comes from the the observation that,when the null hypothesis is true,the value of the q statistics evaluating the difference between Groups a and a is equal toq=M a+−M a +12MS S(A)1S a+1S a,(1)and follows,a studentized range q distribution with a range of A and N−A degrees of freedom.The ratio t would therefore be declared significant at a givenαlevel if the value of q is larger than the critical value for theαlevel obtained from the q distribution and denoted q A,αwhereν=N−A is the number of degrees of freedom of the error,and A is the range(i.e.,the number of groups).This value can be obtained from a table of the Studentized range distribution.Rewriting Equation1shows that a difference between the means of Group a and a will be significant if|M a+−M a +|>hsd=q A,α12MS S(A)1S a+1S a(2)When there is an equal number of observation per group,Equation2can besimplified as:hsd=q A,αMS S(A)S(3)In order to evaluate the difference between the means of Groups a and a ,we take the absolute value of the difference between the means and compare it to the value of hsd.If|M a+−M a +|≥hsd,(4)A BDI&W ILLIAMS3 Table1Results for afictitious replication of Loftus&Palmer(1974)in miles per hourContact Hit Bump Collide Smash2123354439203035404426345233514651294547352054455013383230454134304639304442345142415049392635214455M.+3035384146then the comparison is declared significant at the chosenα-level(usually.05or.01).Then this procedure is repeated for all A(A−1)2comparisons.Note that hsd has less power than almost all other post-hoc comparison meth-ods(e.g.,Fisher’s lsd or Newmann-Keuls)except the Sheff´e approach and the Bonferonni method because theαlevel for each difference between means is set at the same level as the largest difference.4ExampleIn a series of experiments on eyewitness testimony,Elizabeth Loftus wanted to show that the wording of a question influenced witnesses’reports.She showed participants afilm of a car accident,then asked them a series of questions.Among the questions was one offive versions of a critical question asking about the speed the vehicles were traveling:1.How fast were the cars going when they hit each other?2.How fast were the cars going when they smashed into each other?3.How fast were the cars going when they collided with each other?4.How fast were the cars going when they bumped each other?5.How fast were the cars going when they contacted each other?The data from afictitious replication of Loftus’experiment are shown in Table1. We have A=4groups and S=10participants per group.The anova found an effect of the verb used on participants’responses.The anova table is shown in Table2.4Tukey’s Honestly Significant Difference (HSD)TestTable 2anova results for the replication of Loftus and Palmer (1974).Source d f SS MS F P r (F )Between:A 41,460.00365.00 4.56.0036Error:S (A )453,600.0080.00Total495,060.00Table 3Hsd .Difference between means and significance of pairwise comparisions from the (fictitious)replication of Loftus and Palmer (1974).Differences larger than 11.37are significant at the α=.05level and are indicated with ∗,differences larger than 13.86are significant at the α=.01level and are indicated with ∗∗.Experimental Group M 1.+M 2.+M 3.+M 4.+M 5.+Contact Hit 1Bump Collide Smash 3035384146M 1.+=30Contact 0.005.00ns 8.00ns 11.00ns 16.00∗∗M 2.+=35Hit 0.003.00ns 6.00ns 11.00ns M 3.+=38Bump 0.003.00ns 8.00ns M4.+=41Collide 0.005.00ns M 5.+=46Smash0.00For an αlevel of .05,the value of q .05,A is equal to 4.02and the hsd for these data is computed as:hsd =q α,AMS S (A )S =4.02×√8=11.37.(5)The value of q .01,A =4.90,and a similar computation will show that,for these data,the hsd for an αlevel of .01,is equal to hsd =4.90×√8=13.86.For example,the difference between M contact +and M hit +is declared non sig-nificant because|M contact +−M hit +|=|30−35|=5<11.37.(6)The differences and significance of all pairwise comparisons are shown in Table 3.Related entriesAnalysis of variance,Bonferroni procedure,Fisher’s least significant difference (lsd )test,Multiple comparison test,Newman-Keuls test,Pairwise comparisons,Post-hoc comparisons,Scheffe’s test.A BDI&W ILLIAMS5 Further readingsAbdi,H.,Edelman,B.,Valentin,D.,&Dowling,W.J.(2009).Experimental Design and Analysis for Psychology.Oxford:Oxford University Press.Hayter,A.J.(1986).The maximum familywise error rate of Fisher’s least signifi-cant difference test.Journal of the American Statistical Association,81,1001–1004.Seaman,M.A.,Levin,J.R.,&Serlin,R.C.(1991).New developments in pairwise multiple comparisons some powerful and practicable procedures.Psychological Bulletin,110,577–586.。
On the Measure of the Information in a Statistical Experiment
Bayesian Analysis(2007)2,Number1,pp.167–212On the Measure of the Information in aStatistical ExperimentJosep Ginebra∗Abstract.Setting aside experimental costs,the choice of an experiment is usu-ally formulated in terms of the maximization of a measure of information,oftenpresented as an optimality design criterion.However,there does not seem to bea universal agreement on what objects can qualify as a valid measure of the in-formation in an experiment.In this article we explicitly state a minimal set ofrequirements that must be satisfied by all such measures.Under that framework,the measure of the information in an experiment is equivalent to the measure ofthe variability of its likelihood ratio statistics or which is the same,it is equivalentto the measure of the variability of its posterior to prior ratio statistics and to themeasure of the variability of the distribution of the posterior distributions yieldedby it.The larger that variability,the more peaked the likelihood functions andposterior distributions that tend to be yielded by the experiment,and the moreinformative the experiment is.By going through various measures of variability,this paper uncovers the unifying link underlying well known information measuresas well as information measures that are not yet recognized as such.The measure of the information in an experiment is then related to the measure of the information in a given observation from it.In this framework,the choice ofexperiment based on statistical merit only,is posed as a decision problem where thereward is a likelihood ratio or posterior distribution,the utility function is convex,the utility of the reward is the information observed,and the expected utility is theinformation in an experiment.Finally,the information in an experiment is linkedto the information and to the uncertainty in a probability distribution,and wefindthat the measure of the information in an experiment is not always interpretableas the uncertainty in the prior minus the expected uncertainty in the posterior.Keywords:Convex ordering,design of experiments,divergence measure,Hellingertransform,likelihood ratio,measure of association,measure of diversity,measureof surprise,mutual information,optimal design,posterior to prior ratio,referenceprior,stochastic ordering,sufficiency,uncertainty,utility,value of information.1IntroductionIn the statistical science community there is a pervading feeling that the concept of “information carried by an experiment”is something intangible that can not be charac-terized.Review articles often list various measures,each addressing a particular aspect of what information means,but they do not identify any commonality among these mea-sures.Papaioannou(2001)describes the current understanding by stating that“While information is a basic and fundamental concept in statistics,there is no universal agree-168On the Measure of Information ment on how to define and measure it in a unique way”.Clearly,there exists a need for an agreement on what qualifies as an information measure and of the features that make an experiment more informative than another.Let E=(X;Pθ)denote a statistical experiment observing a random variable X with an unknown distribution Pθ,where the parameterθ∈Ωis an index for the list of possible distributions of X.When experimenting,the goal is to learn about the unknownθthat explains X.Since many aspects of the association between X andθhelp in identifying the Pθresponsible for producing an observation X=x,the information aboutθin E is typically a highly multidimensional concept that can not be possibly captured completely by any single real valued quantity.Nevertheless,to rank experiments in terms of the information“they carry”,one has to do it through real valued measures that capture the one aspect of the information in E that one cares the most.It follows the need for a framework that encompasses all valid measures of the information in E that can be used as scales to induce a total information ordering on the space of available experiments,and maybe choose one of them.This paper makes that framework explicit by building on the sufficiency ordering of experiments considered in Blackwell(1951,1953)and Le Cam(1964,1986).Section2introduces the background and notation on statistical experiments.Section 3reviews the sufficiency ordering of experiments,which is also called the‘always at least as informative’ordering.That section also presents the Blackwell-Sherman-Stein and Le Cam theorem,establishing that the sufficiency ordering of experiments is equivalent to the convex ordering of their likelihood ratio statistics and to the convex ordering of the distribution of the posterior distributions attained under a given prior.Definition4.1in Section4identifies a minimum set of requirements that must be satisfied by every measure of the information in E,making the sufficiency ordering into the only essential ingredient in the characterization of these measures.That character-ization does neither assume thatθis a random variable nor that the experiment will be used in a statistical decision problem,even though it can be given decision theoretic and/or Bayesian interpretations.Section5then explains how,as a consequence of this characterization,measuring the information aboutθin E is essentially the same as measuring the variability of its likelihood ratio statistics,as in Definition5.1-5.2.It follows that measuring the information in E is also the same as measuring the variability of its posterior to prior ratio statistics,and it is the same as measuring the variability of the distribution of the posterior distributions yielded by it.The larger that variability,the more peaked the likelihood functions and the posterior distributions that tend to be yielded by E,and the more informative E is.By considering various measures of the variability of these statistics,we present a broad spectrum of features associated to the informativity of E,and we uncover the framework underlying all the measures of the information being used by the design of experiments literature(DoE from now on),as well as measures of the information not yet recognized as such by them.In this manuscript the comparison of experiments is always made based on statisticalJosep Ginebra169 merit only,irrespective of experimental costs.In practice,choosing among experiments requires compromising between the information they carry and their cost,but when comparing experiments just in terms of the information in them,no apologies are to be made for doing as if their cost was the same.A source of confusion is that the term information aboutθis used to denote differing concepts.A secondary contribution of the paper is to help distinguish and relate •the measure of the information aboutθin experiment E=(X;Pθ),also recognized as the statistical information or the expected information in E,which is relevant for comparing experiments in terms of statistical merit,it is our main object of interest,and which is dealt with in Sections3to5and7,•the measure of the information aboutθin an observation X=x,also recognized as the observed information in X=x,which is relevant after the experiment is selected and carried out as a Bayesian model checking test statistic,and which is dealt with in Section6.1,and•the measure of the information aboutθin a given distribution h onΩ,also rec-ognized by Shannon as the self-information aboutθin its own distribution,which is relevant when assessing the strength of knowledge aboutθand as a measure of the homogeneity in a population h,and which is dealt with in Section6.2.Most of the statistical literature concentrates on inference for a given experiment and as a consequence,its main focus is the measure of the information in X=x.In the non-Bayesian DoE literature the information in E is then typically measured through real valued transformations of Fisher information matrices introduced in Kiefer(1959),and through divergence measures introduced in Csisz´a r(1963,1967).On the other hand,the information theory literature stemming from Shannon(1948)starts by characterizing the information about a random variable in its own distribution through the negative of its entropy.In the Bayesian DoE literature the information in E is then measured through the cross entropy between X andθas in Lindley(1956),in an approach general-ized in Raiffa and Schlaiffer(1961)and in DeGroot(1962,1984),where the information in E is measured through the negative of the Bayes risk and it is interpreted as the uncertainty in the prior minus the expected uncertainty in the posterior.Different from that,this manuscript starts from and focuses on a characterization of the measure of the information in experiment E that encompasses as special cases the measures of information in Kiefer(1959),Csisz´a r(1963,1967),Lindley(1956),Raiffa and Schlaiffer(1961)and DeGroot(1962).In Section6.1,the measure of the information aboutθin an observation X=x from E is defined to be a non-negative convex function of the corresponding likelihood ratio or posterior distribution,in Definition6.1-6.2.All added,it turns that the choice of the most informative experiment can be posed as a decision problem where the reward from choosing experiment E is its likelihood ratio or posterior distribution statistic,the utility function is convex,the utility of the reward is the information in the observed outcome,and the expected utility from choosing E is the information in E.170On the Measure of Information In Section6.2,the information aboutθin a distribution h onΩis defined to be the information in an observed outcome that updates a baseline prior into a posterior h.The uncertainty aboutθin h is then measured as the information in a one-point distribution minus the information in h.Section7explores the relationship between the information in E and the expected impact of E on the uncertainty aboutθin its own distribution.By showing that the information in E is not always interpretable as the uncertainty in the prior minus the expected uncertainty in the posterior,this section clarifies the sense in which our definition of information generalizes the definition of information proposed in De Groot (1962)and adopted most often in Bayesian DoE.Section8illustrates through an example how the framework described in this manuscript allows for a unified approach to the selection of an experiment,to the construction of a reference prior for a given experiment,to the assessment of the validity of the model and to the quantification of the impact of X=x on the knowledge about θ.It is important to emphasize that even though this manuscript might look like a review paper to some,Definitions4.1,5.1-5.2and6.1-6.2,their motivation,some ex-amples and the interpretation of Proposition3.1are new.Readers mainly interested in statistical inference might want to read Sections3.2.1,6.1and5first,because they provide a more intuitive starting point to the manuscript that does not rely on the ax-iomatic framework built in Sections3and4.In that alternative presentation onefirst defines the measure of the information in a given observation X=x,and then presents the measure of the information in experiment E as the average of the information in all the observations that could have been yielded by it.2Background and notation2.1Statistical experimentsDefinition2.1.A statistical experiment E={(X,S X);(Pθ,Ω)}yields an observation on a random variable X defined on S X,with an unknown probability distribution that is known to be in the family(Pθ,θ∈Ω).Following Wald(1950)and Blackwell(1951),here an experiment E is considered to be a family of probability measures,(Pθ,θ∈Ω),on a common sample space,S X, one of which is assumed to be the distribution of X.One might think of eachθin Ωas representing a possible explaining“theory”and the parameter spaceΩas rep-resenting the set of all conceivable“theories”.When comparing experiments E and F={(Y,S Y);(Qθ,Ω)},the only necessary common thread between them is that the parameter space be the same,and that the same unknownθgoverns the distribution of X and Y.Note that here,a statistical experiment coincides with what the inference literature calls a parametric model.Thus,“a measure of the information aboutθin experimentJosep Ginebra171 E”is synonymous of“a measure of the information aboutθin the statistical model (Pθ,θ∈Ω)”.To avoid measure theoretical details,throughout this paper we assume that the probability measures(Pθ,θ∈Ω)are dominated by aσ-finite measureµ(i.e., that there is a measureµsuch that events ofµ-measure zero also have Pθ-measure zero), and thus the corresponding density functions,pθ,will always exist.We also assume that sample spaces are complete separable metric spaces.That covers all situations faced in the usual statistical inference and design of experiments practice.As an example,linear normal experiments are the ones that yield X∈R n distributed as a N n(Aβ,σ2I),where A is a known n×p design matrix andβis a vector of regression parameters.Hereθdenotes eitherβwithΩ=R p or(β,σ)withΩ=R p×[0,∞), depending on whetherσis assumed known or unknown,and selecting an experimentconsists of choosing a design matrix A.An experiment is said to be totally non-informative,denoted by E tni,if the distri-butions of X are the same for allθ.One can not learn aboutθby observing from E tni, and it is the baseline relative to which the information in every experiment is measured. At the other end,an experiment is said to be totally informative,denoted by E ti,if forevery pair(θi,θj)∈Ω×Ωthe intersection of the support sets for Pθi and Pθjis anempty set,and thus if it is a family of mutually singular distributions.After performing E ti,the Pθthat generated X=x can be identified with certainty.In Bayesian setups,the uncertainty aboutθ∈Ωis modelled through a prior distribu-tionπonΩ,which allows one to represent the experiment or statistical model(Pθ,θ∈Ω) through the marginal distribution of X,Pπ,with density function pπ(x)=Eπ[pθ(x)], and to construct the joint distribution for(X,θ)with density functionfπ(x,θ)=pθ(x)π(θ)=pπ(x)πE(θ|x),(1) whereπE(θ|x)denotes the density of the posterior distribution ofθ.Let the sampling, predictive and posterior densities of F=(Y;Qθ)be denoted by qθ(y),qπ(y)andπF(θ|y).Note that when designing an experiment,data as well as parameters are unknown and the reasons against treating them symmetrically by considering both X andθas random and by averaging over both parameter and sample spaces are a lot less compelling than for inference problems.In fact,it is our perception that the only difference between the Bayesian and the non-Bayesian way of planning for an experiment is in the way one interprets the optimality design criteria available.2.2Likelihood functions attainable and information in EGiven an observation X=x yielded by experiment E,likelihood functions,l x(θ),are functions ofθproportional to pθ(x)with the constant of proportionality being arbitrary. Before performing the experiment,l X(θ)can be regarded as a random function onΩ. For totally non-informative experiments,E tni,likelihood functions are always constant, while for totally informative experiments,E ti,likelihood functions are always zero ev-erywhere except for one valueθinΩ.For any experiment,the relatively“flatter”the attainable likelihoods,the harder it is to identify theθthat explains the observations,172On the Measure of Information and the worse that experiment is for inferential purposes.Adherents to likelihood based inference will recognize informative experiments to be the ones that provide highly concentrated likelihood functions.Given a choice,they will prefer experiments that tend to produce likelihoods with more pronounced peak(s) and the measures of the information in E should quantify this ments in this direction can be found in Barnard(1959),in Barnard,Jenkins,and Winsten(1962, p.323),and in Birnbaum(1962,pp.293,304).Whenθis real valued andΩis open,the relative peakedness of the likelihood atθcan be measured through the squared relative rate of change of the likelihood function,r x(θ)=(˙l x(θ)/l x(θ))2=(˙pθ(x)/pθ(x))2,(2) where the dot indicates the derivative with respect toθ.Before the experiment is performed,x is unobserved and r X(θ)is a random function onΩwith possibly a different distribution under each pθ.Under regularity conditions(see,e.g.,Lehmann1983),one can assess the information aboutθin E through the average of r X(θ)under pθ,IθF i(E)=E pθ[(˙pθ(x)pθ(x)],(3)which was introduced in Fisher(1922)and is called the Fisher information in E.Thelarger IθF i (E),the smaller the asymptotic variance for the maximum likelihood estimatorofθ,and the more informative E is.WhenΩis an open subset of R p,the Fisher information is defined to be the covariance matrix of the vector of ratios between the partial derivatives of l x(θ)and l x(θ).The DoE literature largely focuses on using real valued transformations of the Fisher information matrix,introduced in Kiefer(1959).However,Fisher information might not exist and when it does exist,it typically depends on the unknown value ofθ,in which case different experiments could be optimal for different values ofθ.Furthermore,the performance of E for tasks other than estimation under squared error loss should be assessed on the basis of how well those tasks can be performed,which may involve aspects of the association between X andθnot captured by Fisher information.3Sufficiency ordering of experiments and information In statistical decision theoretic terms,the information aboutθin an experiment E de-pends on the performance of E in relation to the terminal consequences of the statistical decisions made based on the data obtained from it.Sometimes one needs to select an experiment E based on its expected performance on a given decision problem with loss function L(θ,d)defined onΩ×D,where d is a decision and D is the space of decisions.To make a decision based on data from E=(X;Pθ)one selects a decision rule,δ(x), that assigns to each x∈S X a possible decision d,and the performance ofδ(X)under eachθ∈Ωis appraised through its risk function,R E(θ,δ)=E pθ[L(θ,δ(x))].Josep Ginebra173 In principle,one could assess the performance of E on that given terminal decision problem through the class of risk functions of its admissible rules(i.e.,the rules that can not be improved upon for everyθ),but that does not lead to any clear cut choice between two experiments.To narrow that choice down,one could compare experiments E and F on the basis of the risk function of a given pair of admissible rules,like their respective Bayes rules(minimizing the weighted average of R E(θ,δ)under a given distribution on Ω),or their minimax rules(minimizing the maximum of R E(θ,δ)overΩ).Most often though,one would stillfind E to be either better or worse than F depending on the value ofθ.To attain a total ordering of the experiments available,one must compare them on the basis of a real number like the average risk for their Bayes rules(i.e.,their Bayes risk),or the maximum risk for their minimax rule(i.e.,their minimax risk).By considering the choice between any two experiments,E and F,based on the Bayes or the minimax risk for a specific terminal decision problem,one might chose experiment E or F depending on the problem at hand.However,sometimes by observing X from E one can do at least as well as by observing Y from F for every terminal decision problem,and thus in particular for every statistical inference problem.These situations lead to the ordering of experiments considered next.3.1When is experiment E“sufficient for”or“always at least asinformative as”experiment F?Definition3.1(Blackwell1951,1953).Experiment E=(X;Pθ)is said to be“suf-ficient for”F=(Y;Qθ)if there exists a stochastic transformation of X to a random variable W(X)such that W(X)and Y have identical distribution under eachθ∈Ω.Lehmann(1988,p.521)re-phrases this by stating that“experiment E is sufficient for F if there exists a random variable Z with a known distribution and a function g(·,·) such that for allθ∈Ω,X being distributed as Pθimplies that g(X,Z)is distributed as Qθ.”In fact,there is no loss of generality in assuming that the distribution of Z is uniform on(0,1)and independent of X.Thus,E is“sufficient for”F whenever by using a realization X=x of experiment E and an auxiliary randomization,Z,one can simulate data distributed as Y without knowingθ.The sufficiency ordering of experiments is the central subject of study of the com-parison of experiments literature stemming out of Blackwell’s seminal papers.Brief expositions can be found in Blackwell and Girshik(1954),Savage(1954),Lehmann (1959,1988),DeGroot(1970),LeCam(1975,1996),Torgersen(1976),Vajda(1989), Shiryaev and Spokoiny(2000)and Gollier(2001).For a thorough presentation,see Heyer(1982),Strasser(1985),LeCam(1986)or Torgersen(1991a).For a review with an exhaustive list of references and examples,see Goel and Ginebra(2003).In statistical inference,experiment E=(X;Pθ)is typicallyfixed and given and discussions are limited to the comparison between E and the sub-experiment E T that yields a statistic based on X,T(X).Clearly E is always“sufficient for”E T in the sense of Definition3.1.Furthermore,when T(X)is a sufficient statistic for X,once174On the Measure of Information given T(x)=t one can also generate data distributed as X without knowingθ,and hence in that case experiment E T is also“sufficient for”E.Therefore,stating that a statistic T(X)is sufficient for X is equivalent to stating that experiments E and E T are“sufficient for”each other.But Definition3.1applies more generally,since it allows for the comparison of experiments on unrelated sample spaces.(In fact,as remarked in Le Cam(1975),‘to state that E is“sufficient for”F is the same as to state that there exists an experiment EF yielding(X,Y)for which X is a sufficient statistic for EF’).As an example of a sufficiency ordering of experiments,let E and F be a pair oflinear normal experiments that observe X and Y from N nE (Aβ,σ2I)and N nF(Bβ,σ2I)respectively,where A and B are known n E×p and n F×p matrices.Hansen and Torgersen(1974)prove that whenσ2is known E is“sufficient for”F if and only if IθF i(E)−IθF i(F)=A A−B B is non-negative definite,and that for unknownσ2an additional condition is that n E≥n F+rank(A A−B B).The Definition3.1making E sufficient for F if one can derive from X a random variable with the same distribution as Y using a known random mechanism that only depends on X,is grounded on a randomization argument seemingly devoid of statistical meaning.Nevertheless,that meaning follows from the well established fact that E is “sufficient for”F if,and only if E is“always at least as good as”F in the sense that for every decision problem and for every decision ruleδ(Y)based on F,there exists a decision ruleδ∗(X)based on E such that R E(θ,δ∗(x))≤R F(θ,δ(y))for allθ. Consequently,when E is“sufficient for”F the Bayes and minimax risks under E are at most as large as the ones under F for every prior and loss.Therefore,E is“sufficient for”F if and only if E is preferable to F for every sta-tistical decision problem with a loss defined onΩ×D,which includes non-sequential estimation,testing,classification,the prediction of future observations and any other purely inferential problem,where learning aboutθis the single goal of experimenting. Hence,the phrase“E is always at least as informative as F”is used as a synonym for “E is sufficient for F”(see,e.g.,Blackwell and Girshik1954;Lehmann1988).This also explains why any ordering of experiments that respects the sufficiency ordering is called an information ordering in Torgersen(1991a),and why the sufficiency ordering will be essential in the characterization of the measure of the information in an experiment.Comparisons in the sense of this sufficiency ordering are always made on the basis of statistical merit only,ignoring experimental costs.By stating that E is“sufficient for”or“always at least as informative as”F if and only if E is preferable to F for every decision problem with a loss onΩ×D,one excludes from consideration the comparison of experiments under one-period bandit and stochastic control type problems,which have loss functions defined onΩ×S X(see,e.g.,Gonzalez and Ginebra2001),and the comparison under mixed problems with the goal of maximizing both information about θand outcome,which have loss functions defined onΩ×D×S X(see,e.g.,Verdinelli and Kadane1992).One also excludes the comparison of experiments in terms of their performance under problems with loss functions that depend on the experiment itself, like the ones that include in the loss experimental costs that depend on sample size.Josep Ginebra 1753.2Variability of likelihood ratio statistics and information in EThe Blackwell-Sherman-Stein and Le Cam theorems presented below establish the equivalence between the sufficiency ordering of experiments,the convex ordering of their likelihood ratio statistics,and the convex ordering of the distribution of the posterior distributions attained under a given prior.That will enable us to propose measuring the information in E through measures of the variability of its likelihood ratio and posterior distribution statistics,as described in Section 5.Here we focus on the case where Ωhas a finite number of elements,Ω={θ1,...,θk },because it is an important case in its own (under it,Fisher information is not even defined),and because it provides the basic tool for the cases where Ωis infinite.3.2.1The vector of likelihood ratios as a likelihood functionLet E =(X ;P θ)be an experiment on Ω,and let P π= k i =1πi P θi be a convex combi-nation of the elements in (P θi ,θi ∈Ω)that dominates all the elements in that family (i.e.,P πis such that any measurable set of P π-measure zero has P θi -measure zero forall i ).In that case,the ‘likelihood to averaged likelihood ratio statistic’T π(X )=1E π[l X (θ)](l X (θ1),...,l X (θk )),(4)is minimal sufficient for E (see,e.g.,Basu 1975;Lehmann 1983),and its distribution characterizes the statistical properties of E .In particular,P πcan be any convex com-bination with strictly positive weights (i.e.with πi >0for i =1,...,k ),and we focus on this case,but when all measures in E are dominated by one of them,say P θ1,thenT θ1(X )=1176On the Measure of Information Remark:A choice of a particular set of weights,(π1,...,πk),is just a matter of choice of a dominating measure Pπ,and of a version of standardized likelihood function Tπ(x),and all that can be devoid of any Bayesian connotation.In fact,in the sufficiency ordering literature one typically restricts attention to uniform weights,πi=1/k.On the other hand,in Bayesian terms one is entitled to interpretπas a prior distribution and Tπ(X)as the‘posterior to prior ratio statistic’,Tπ(X)=(πE(θ1|X)πk).(7)3.2.2The Blackwell-Sherman-Stein and Le Cam theoremHere,we compare the experiments onΩE=(X;Pθ)and F=(Y;Qθ),through the distribution of their corresponding likelihood ratio statistics,Tπ(X)and Sπ(Y). For totally non-informative experiments,E tni,the likelihood function is constant,andTπ(X)=(1,...,1)with probability one.For totally informative experiments,E ti,the likelihood is zero everywhere except at oneθj∈Ω,and Tπ(X)=(0,...,1/πj,...,0), which is an extreme point of Kπ.In general,the further Tπ(X)tends to fall away from(1,...,1)towards an extreme point of Kπ,the easier it is to guessθand the more informative E is.Given that for every experimentE pπ[Tπ(x)]=(1,...,1),(8) the more informative E is,the more spread out is the distribution of Tπ(X)(under X∼Pπ)away from(1,...,1)towards extreme points of Kπ.Therefore it should not come as a surprise that the Blackwell-Sherman-Stein theorem,enunciated next,relates “E being always at least as informative as F”to the distribution of Tπ(X)when X is Pπ-distributed being more variable than the distribution of Sπ(Y)when Y is Qπ-distributed,where Qπ= k i=1πi Qθi.Proposition3.1.Experiment E=(X;Pθ)is“sufficient for”experiment F=(Y;Qθ)if and only if for some strictly positive set of weightsπ,E pπ[φ(Tπ(x))]≥E qπ[φ(Sπ(y))](9)for every convex functionφ(·)on Kπ.Equivalently,this proposition can be re-stated in terms of the convex ordering of likelihood ratio statistics as“experiment E is sufficient for F if and only if the distri-bution of Tπ(X)when X∼Pπis larger in the convex order than the distribution of Sπ(Y)when Y∼Qπ,i.e.,if and only ifTπ(X)|pπ≥cx Sπ(Y)|qπ.”(10) Since convex functions take on their larger values over“extreme regions”,any measure of the form E[φ(U)]with a convexφ(·)can be interpreted as a measure of the dispersion of the random variable U.Consequently,“E is sufficient for F”is equivalent to“the。
北师大版2019高中英语选择性必修第一册U1 Lesson 1
Though he had known Graham was very difficult, he made everything interesting in his
teaching to attract his attention by setting up experiments.
Possible answers.
1. Mr Jenkins said, “… it's important to understand that there's no such thing as a good or a bad student.” How did he do? Find evidence from the texts to support your opinion.
2. What made Graham a successful person? Find evidence from the texts to support your opinion.
3. What made Mr Jenkins a good teacher? Write down one or two of his qualities and give your reasons.
I think that teachers should explain things with
practicaUl esxeamthpelepsharnadseins sbimelpolwe ltaonghuealpgey. ou.
to understand students to be patient to be creative to make friends with students Now, letot'ms arkeaedsttuwdoenttesxfteseltcoonlefaidrnent to etxhpelarienlathtiionngsshwipith practical betweeenxaamsptluedseanntdainndsaimtpelaeclhaenrg.uage
doi10.1016j.nlm.2005.09.005 ARTICLE IN PRESS Neurobiology of Learning and Memory xxx (2005)
Received 15 March 2005; revised 27 September 2005; accepted 28 September 2005
Abstract Cholinergic modulation of synaptic transmission is vital to memory processes and may be responsible for setting network dynamics in the hippocampus appropriate for encoding of information. Sheridan and Sutor (1990) found evidence suggesting M1 receptors cause presynaptic inhibition of glutamatergic transmission, while Dutar and Nicoll (1988a) research supports a role of the M2 receptor. We examined muscarinic inhibition of fEPSPs in stratum radiatum of mice lacking m1 subtype receptors (KO) compared to wild type (WT) controls. WT mice exhibit greater suppression of transmission by muscarine as compared to KO in a dose dependent fashion. Oxotremorine shows no signiWcant diVerence in suppression between WT and KO, while MCN-A-343, an M1 agonist, exhibits a signiWcant diVerence between KO and WT, with KO showing no suppression. One hundred micromolar SGS-742, a selective GABAB antagonist, fails to aVect either normal transmission or muscarinic suppression in either WT or KO suggesting that diVerences in suppression between the groups is not attributable to diVerences in GABAB receptor activation due to muscarinic activation of GABAergic interneurons. These Wndings support a role for presynaptic m1 mAChRs in modulation of synaptic transmission in CA1, but indicate that other muscarinic receptor subtypes, such as M2, are also involved in suppression of synaptic potentials. 2005 Elsevier Inc. All rights reserved.
2024届高考一轮复习英语高考题型组合练(人教版)Unit3TheInternet
必修第二册Unit 3The Internet高考题型组合练Ⅰ.阅读理解AFor recreation league athletes,there’s nothing worse than when one of your teammates drops out at the last a recreation league ice hockey(冰上曲棍球) team in Edmonton needed a goalie(守门员),they got a save from an unlikely hero.Nelson Rego,who is 100% blind,plays blind ice hockey for the Edmonton “SeeHawks”and accidentally met another goalie,John Hunter,who was inquiring online about a chest Hunter got injured,and trying to help his team find a goalie for a league game,he reached out on the Edmonton Goalies Facebook page.“Nelson calls me,and he starts out with,‘Hey,how’s the chest protector going?’”Hunter later shared about the remarkable story.“Then Nelson continues,‘By the way,I’m not sure if this is a good idea but I’ve learned that you’re looking for a goalie substitute for your league game do you think about me playing?’”The team was “all in”,so Rego got ready for his first-ever sighted league match.According to the players,they didn’t tell the referee until the puck(冰球) drop that their goalie was blind—information with which he didn’t really know what to do.In an interview with CTV Edmonton,Rego explains he keeps himself centered in the goal by measuring the distance between the posts with his stick and his he uses sound to key into where the puck is and if it’s being challenged,all the while he follows verbal instructions from his loving wife Emelinda,in the stands telling the action.The game was by no means a washout for Rego,because even though Rego’s team lost,he hung in there and earned the respect and admiration of the team.This remarkable night is just one step in Rego’s hockey career and he wants to go says,“If it’s something you want to do,just do ’s amazing to watch hockey,but it’s even better to play it.”1.Why did Nelson Rego make a call to John Hunter?A.To apply to be a goalie substitute.B.To send him a nice chest protector.C.To invite him to an ice hockey game.D.To ask him to look for a sighted goalie.答案 A解析细节理解题。
+Starter+Lesson+22024-2025学年外研版(2024)七年级英语上册
library 图书馆
Students can read books and spend time there.
floor 楼层
the first floor
一楼
the second floor 二楼
the third floor
三楼
teaching building dining hall playground
表转折关系的连词有:but等。
Step 2: 读句子,懂用法
Write down the conjunctions can be used to connect the sentences.
Some popcorn is in the 选择 shape of butterflies.
Let me show you around our school.
Vocabulary
Our school is not big but beautiful. There are three buildings and a playground in it. We love our school.
three floors
This is the teaching building. It has three floors. All the classrooms are in this building.
This is Building 2. On the first floor, we have science and computer labs, Music rooms, art rooms and a dance hall are on the second floor. And there's also a library. lt‘ s on the third floor.
小学上册第14次英语第5单元寒假试卷
小学上册英语第5单元寒假试卷英语试题一、综合题(本题有100小题,每小题1分,共100分.每小题不选、错误,均不给分)1.We have ______ at the picnic. (sandwiches)2.What is the bright area surrounding the sun called during an eclipse?A. HaloB. CoronaC. AuraD. Atmosphere3. A saturated solution is one that can no longer ______.4.What do we call the main part of a tree?A. BranchB. TrunkC. LeafD. RootB5. A ______ is a scientific statement that summarizes a pattern.6.I planted some ______ (花) in my garden. I water them every ______ (天).7.She has long ________.8.The train is _____ the station. (at)9.I like to ________ cartoons.10.My puppy loves to snuggle on my ______ (腿).11.The _______ (狗) is loyal to its owner.12.The _____ (海豹) has a streamlined body for swimming.13.The main gas we breathe is __________.14.We have a _____ (运动会) at school.15. A ______ is a small rodent that loves to eat cheese.16.The chemical reaction that occurs in batteries is an example of a _____ reaction.17.My ________ (玩具) helps me learn about colors.18.Which day comes after Friday?A. SaturdayB. SundayC. ThursdayD. Monday19.I want to ______ (travel) around the world.20.The _____ (broccoli) is a nutritious vegetable.21. A sinkhole can form when underground water erodes ______ rock.22.What is the name of the place where you can buy groceries?A. StoreB. MallC. MarketD. SupermarketD23.What is the freezing point of water in degrees Celsius?A. 0B. 32C. 100D. -32A24.I saw a _____ (小猫) sleeping in a sunny spot.25.The first electric motor was invented by _______. (法拉第)26.The _____ (gardenia) has a sweet fragrance.27.My favorite fruit is _______ (梨).28.What is the opposite of 'hot'?A. WarmB. ColdC. CoolD. FreezingB29.The process of combining different elements to form a compound is known as_______.30.My brother enjoys building ____ (models) of cars.31.The ancient Sumerians are credited with creating the first system of ______ (文字).32.My favorite movie is _______ (动画片).33.The library has many ______ (books) to read.34.n Wall was a symbol of the __________ (冷战). The Berl35.The ______ (气候变化) poses challenges to plant survival.36.The _______ of a magnet is strongest at its poles.37.How many hours are in a day?A. 24B. 12C. 48D. 36A38.What is the name of the famous landmark in Egypt?A. Great WallB. Eiffel TowerC. Pyramids of GizaD. ColosseumC39.The __________ (历史书籍) provide insights into our past.40.The cake is ___. (delicious)41.The cat is ______ on the window. (sitting)42. A chemical property describes how a substance _____ with others.43.The ______ (秋风) can cause leaves to fall.44.The ______ (果汁的提取) can be done in various ways.45.I like to ride my ________ (摩托车).46.What do we call the person who leads a choir?A. ConductorB. DirectorC. MaestroD. Performer47.The chemical formula for ethyl alcohol is ______.48.The cheetah is the _________ animal on land. (最快)49.The __________ (历史的回响) resonates with truth.50.What do you call a young male owl?A. OwletB. ChickC. CubD. Kit51.What is the capital of Saudi Arabia?A. RiyadhB. MeccaC. MedinaD. Jeddah52. A plant's ______ (生长势头) can vary with seasons.53.What is 5 + 2?A. 6B. 7C. 8D. 9B54.The dog is ________ (跟我走).55.What do we call the study of weather?A. GeologyB. AstronomyC. MeteorologyD. Biology56.What do we call a person who speaks many languages?A. LinguistB. TeacherC. ScholarD. Professor57.The _____ (山羊) climbs steep hills easily. It is very agile. 山羊能轻松攀爬陡峭的山丘。
七年级英语科学理解单选题30题
七年级英语科学理解单选题30题1.There are many ( ) in the laboratory.A.equipmentsB.equipmentC.pieces of equipmentD.piece of equipments答案:C。
本题考查名词的用法。
equipment 是不可数名词,不能用复数形式,也不能用many 修饰,A 和 D 选项错误。
B 选项equipment 前没有量词修饰,也不符合语法。
C 选项pieces of equipment 表示“几件设备”,符合语法。
2.The scientist is ( ) an experiment.A.doingB.makingC.carryingD.taking答案:A。
本题考查动词的用法。
do an experiment 是固定搭配,表示“做实验”,B 选项make 通常不与experiment 搭配,C 选项carry 表示“携带”,D 选项take 表示“拿”,都不符合题意。
3.The experiment is very ( ).A.interestingB.interestedC.interestD.interests答案:A。
本题考查形容词的用法。
interesting 表示“有趣的”,通常用来形容事物;interested 表示“感兴趣的”,通常用来形容人。
interest 是名词或动词,interests 是名词的复数形式。
这里experiment 是事物,所以用interesting。
4.We need some ( ) to do the experiment.A.toolB.toolsC.instrumentD.instruments答案:D。
本题考查名词的用法。
tool 通常指手工工具,instrument 通常指科学仪器。
这里做实验需要科学仪器,A 和 B 选项错误。
instrument 是可数名词,some 后面要用复数形式instruments。
常规动物麻醉药作用于雄性小鼠不同时间血液指标变化的分析
第38卷第2期202丨年4月实验动物科学LABORATORY ANIMAL SCIENCEVol.38 No.2April 2021$研究简报令常规动物麻醉药作用于雄性小鼠不同时间血液指标变化的分析刘燕彭薪元丁洁夏天娇徐力致(南京大学医学院,南京2丨0023)摘要:目的实验动物麻醉是动物实验中一个重要的环节,我们前期关注到,使用麻醉药1h左右会对小鼠的白细 胞总数造成一定的影响因此,本研究观察了 :.种常用动物麻醉药物(氨基甲酸乙酯、水合氯醛和戊巴比妥钠)对 雄性小鼠血糖和血液常规指标的影响,并观察了同一麻醉药随时间延长而引起的血常规变化情况方法采用腹 腔注射麻醉小鼠,分别在注射前、注射后15 min和60 min,从小鼠尾静脉取血测定血糖值和血常规值结果氨基 甲酸乙酯能明显提高小鼠血糖,水合氯醛与戊巴比妥钠对血糖无明显影响。
氨基甲酸乙酯和戊巴比妥钠可使小鼠1'丨细胞总数增加,并主要表现在中性粒细胞数和单核细胞数的升高,水合氯醛的影响表现为白细胞总数下降,中性 粒细胞数和淋巴细胞数的减少显著:结论在血糖州关研究中,应避免使用氨基甲酸乙酯=在涉及白细胞相关研究过程中,氨基甲酸乙酯、水合氯醛和戊巴比妥钠的使用需进行细节性设计,以避免由于麻醉药导致的数据干扰。
关键词:小鼠;麻醉;氨基甲酸乙酯;水合氯醛;戊巴比妥钠;血液学中图分类号:H614 文献标识码:A文章编号:丨006-6丨79( 2021 )02-0057-04DOI:10. 3969/j.issn. 1006-6179. 2021. 02. 010动物实验与生物医学进程息息相关,在生命科 学领域的发展历程中有着重大的作用:,伴随着人类 文明的进步,人们也同样关注动物生存福利。
因此 实验动物伦理学应运而生,倡导“减少(r e d u c t i o n)、替代(r e p l a c e m e n t)、优化(r e f i n e m e n t)” 的 “3R’’ 原 则。
新版现代大学英语第12课A_Fundamental_Technique_in_Handling_People
From what aspects did the author do in studying Lincoln’s success in dealing with people? Exhausitive Did he criticize people? Evidence: as a young man….. As a practicing lawyer…. indulge Practicing lawyer Then what happened? He did this just once too often Challenge Fight to the death
Third example: Thomas Hardy
Who is Thomas Hardy? Thomas Hardy, (2 June 1840 – 11 January 1928) was an English novelist and poet. he was influenced both in his novels and in his poetry 《德伯家的苔丝》 《远离尘嚣》 by Romanticism. He was highly critical of much <卡斯特桥市长> in Victorian society, though Hardy focused more <无名的裘德> on a declining rural society. Do you know some of his great works? Far from the Madding Crowd (1874), The Mayor of Casterbridge (1886), Tess of the d'Urbervilles (1891), and Jude the Obscure (1895). What happened to his w(A proofreader‟s attempt to “improve my spelling and
【课件】Unit+3+My+School+SectionA+1a~1d课件-人教版七年级上册
Our classroom building is beautiful . We have classes there every day.
Guess game!
What place is there in the school?
There are offices and our teachers work there.
Conversation 2 Peter: Excuse me. Where’s Ms Gao’s office? Woman: Her office is in the teachers’ building. Peter: And where’s that? Woman: The teachers’ building is across from the school hall. Peter: Great. Thank you.
人教版(2024)七年级英语 上册
Unit 3 My School SectionA 1a-1d
In this unit, you will: 1. talk about places in school.谈论学校
的场所。 2. describe locations using there be
stucture and prepositions of position. 用There be 结构和介词描述位置。 3. introduce and talk about your school. 介绍并谈论你的学校。 4. decribe the places you like in your school and explain why. 描述你喜欢 的学校场所并解释原因。
1 Look at the map. Let’s read! b
20-21版:Reading and Thinking—Comprehending(步步高)
太空:最后的边境 “我们是否孤独?太空以外是什么?” 仰望星空,人们一直想更多 地了解太空,科学家们也在努力寻找答案。他们制造运载勇敢的人进入 太空的交通工具来探索宇宙的秘密。他们也非常希望发现其他适合生命 存在的行星。
在20世纪中叶之前,大多数人都认为进入太空是不可能实现的梦想。 然而,有些科学家下定决心要帮助人类实现探索太空的梦想。1.无数次实 验之后,他们终于成功研制出能够摆脱地心引力的火箭。1957年10月4日, 苏联发射了人造卫星“旅伴一号”,并成功环绕地球运行。之后,苏联专 注于载人太空飞行。1961年4月12日,尤里·加加林成为世界上进入太空的 第一人。八年后的1969年7月20日,美国宇航员尼尔·阿姆斯特朗登上月球, 他说过一句名言:“对一个人来说,这是一小步;对于全人类来说,这是 一次巨大飞跃。”在此之后,又实现了更多的目标。例如,美国的国家航 空与航天局于1977年9月5日发射了“旅行者一号”,用于研究外太空,如 今它仍在传输数据。
2.尽管科学家们努力确保万无一失,但是意外还是可能发生。苏联 “联盟11号”和美国“挑战者”号航天飞机上的所有宇航员都在执行任 务时死亡。这些灾难让每个人都感到悲伤和失望,但是探索宇宙的渴望 却从未停止过。这是因为尽管风险巨大,人类还是坚信太空探索极为重 要。仍在工作的一个例子是国际空间站。它环绕地球运行,搭载了来自 不同国家的宇航员,使得人类能够持续在太空中开展工作。
UNIT 4
SPACE EXPLORATION
内容索引
Reading and Thinking—Comprehending
课 文 预 读 原文呈现 读文清障释疑
SPACE:THE FINAL FRONTIER “Are we alone? What’s out there?” Looking up at the stars, people have always wanted to learn more about space,and scientists work hard to find answers.They make vehicles to carry brave people into space to find out the secrets of the universe.They also really wish to discover other planets that are suitable enough to support life.
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a rXiv:n ucl-t h /1767v126Jul21(E,E ′N)AND (E,E ′NN)EXPERIMENTS AT NIKHEF,MAINZ AND JLAB AND OPEN PROBLEMS IN ONE-AND TWO-NUCLEON EMISSIONS S.BOFFI Dipartimento di Fisica Nucleare e Teorica,Universit`a degli Studi di Pavia,and Istituto Nazionale di Fisica Nucleare,Sezione di Pavia,I-27100Pavia,Italy A critical review is presented of recent data on direct one-and two-nucleon emis-sion obtained in electron scattering at NIKHEF,Mainz and JLab.In the case of (e,e ′p)reactions attention is focussed on extracting spectroscopic factors,looking at medium effects on the bound nucleon form factors,and investigating nuclear transparency.The possibility of obtaining information on nucleon-nucleon corre-lations in (e,e ′pp)and (e,e ′pn)reactions is also discussed.1Introduction Electron scattering has been used for many years as a clean tool to explore nuclear structure.In the one-photon-exchange approximation,where the in-cident electron exchanges a photon of momentum q and energy ωwith the target,the response of atomic nuclei as a function of Q 2=| q |2−ω2and ωcan nicely be separated because the electromagnetic probe and its interaction are well under control.In addition,in direct one-and two-nucleon emission one may access to the single-particle properties of nuclei and nucleon-nucleon correlations,respectively (see,e.g.,Ref.1).In recent years,a great amount of data have been collected in laboratories in Europe and the USA.The Amsterdam Pulse Stretcher and Storage-ring facility (AmPS)at the Dutch National Institute for Nuclear Physics and High-Energy Physics (NIKHEF)entered the phase of regular operations in 1993providing beams of longitudinally polarized electrons of 900MeV with stored currents of 150mA and a state-of-the-art experimental facility with high-density,polarized inter-nal targets.After a short period of intense and qualified work the AmPS fa-cility has been decommissioned in January 1999due to budgetary constraints and following the decision of the Dutch Research Council.Some part of the physics programme,such as the two-nucleon emission programme,together with some parts of the detectors,such as the Hadron3detector originally de-signed to study reactions with a small cross section,has been transferred to Mainz.In Mainz electron scattering experiments are performed by the A1col-boffi:submitted to World Scientific on February 8,20081laboration using a three-spectrometer setup to detect one or two charged particles in coincidence with the scattered electron coming from the855MeV (polarized)beam of the MAMI racetrack microtron.An upgrade to1.6GeV (MAMI-C)is under development and the new complex is planned to run in Spring2004.a For the present purposes the experiments on(e,e′pp)and (e,e′pn)proposed under Refs.2,3,respectively,as well as the completed ex-periment(e,e′p)under Ref.4will be considered.In the USA,besides the MIT-Bates laboratory operating with its1GeV electron beam,the Jefferson Laboratory(JLab)in Newport News,Virginia, began conducting experiments in November1995with its high-energy beams (up to6GeV at present,with possible upgrade to12GeV)of the Contin-uous Electron Beam Accelerator Facility(CEBAF).One-proton emission in electron scattering offa complex nucleus is studied in Halls A and C.In Hall A cross sections of charged particles detected in coincidence with the scat-tered electron can be measured with high precision with the available two identical High-Resolution Spectrometers.In Hall C a variety of experiments requiring high luminosity,but moderate resolution,is possible with the High-Momentum Spectrometer and the Short-Orbit Spectrometer.b Among others, of relevance here are the(e,e′p)experiments5,6,7,8in Hall A,as well as the proposal under Ref.9in Hall C and some corresponding results10,11.The proposal by van den Brand et al.12in Hall A will extend the Mainz data of Ref.4from Q2=0.8to4.0GeV2.In this review attention will be drawn to open problems more than to a successful interpretation of data.2(e,e′N)In plane-wave impulse approximation(PWIA),i.e.neglectingfinal-state in-teractions(FSI)of the ejected particle,the coincidence(e,e′p)cross section in the one-photon exchange approximation is factorized1,13as a product of the (off-shell)electron-nucleon cross sectionσeN and the nuclear spectral density,S( p,E)= αSα(E)|φα( p)|2.(1)prog/generated/apphalla.html, /expAt each removal energy E the p dependence of S( p,E)is given by the momen-tum distribution of the quasi-hole statesαproduced in the target nucleus at that energy and described by the(normalized)overlap functionsφαbetween the target(A-particle)nucleus ground state and the(A−1)-particle states of the residual nucleus.The spectroscopic factor Sαgives the probability that the such a quasi-hole stateαbe a pure hole state in the target nucleus.In an independent-particle shell model(IPSM)φαare just the single-particle states of the model,and Sα=1(0)for occupied(empty)states.In reality, the strength of a quasi-hole state is fragmented over a set of single-particle states due to correlations,and0≤Sα<1.With FSI such a factorization in the cross section is no longer possible, but in the past data were always organized in bins characterized by| p|and E by on-line dividing the counting rates by(a model dependent)σeN.Thus afive-fold cross section was converted into a two-fold reduced cross section and compared with a(distorted)spectral density S D(| p|,E)including FSI described by an optical model potential.In the discrete spectrum of the residual nucleus at each excitation energy the| p|dependence of the reduced cross section is given by the corresponding model quasi-hole state and the normalization factor necessary to adjust S D(| p|,E)to data is interpreted as the value of the spectroscopic factor extracted from experiment.2.1Spectroscopic factors and relativistic effectsTwo majorfindings came out of these studies.First,the valence quasi-hole statesφαalmost overlap the IPSM functions with only a slight(∼10%)en-largement of their rms radius.Second,a systematic suppression of the single-particle strength of valence states as compared to IPSM has been observed all over the periodic table.A quenching of spectroscopic factors is naturally conceived in nuclear many-body theory in terms of nucleon-nucleon correla-tions.However,model calculations produce spectroscopic factors Sαmuch larger than those extracted in low-energy(e,e′p)data.As an example,for the p-shell holes in16O a Green function approach to the spectral density14givesS p1/2=0.890and S p3/2=0.914,while from experiment one has S p1/2=0.644and S p3/2=0.537.A recent reanalysis15of the12C(e,e′p)data at Q2≤0.3 GeV2has found a very substantial reduction of the s-and p-shell strength by the factor0.57±0.02.In fact,the most general form of the coincidence cross section in the one-photon-exchange approximation is the contraction of a lepton tensor Lµνwith a hadron tensor Wµνand involves nine structure functions1,13,that describe the response of the target system to the absorption of a longitudinal(L)orboffi:submitted to World Scientific on February8,20083transverse(T)photon.Each individual structure function is a bilinear form of the hadron current Jµ,i.e.Jµ= d rFigure1.Separated structure functions for the reaction16O(e,e′p)15N g.s.with an emitted proton with100MeV kinetic energy.Solid(dashed)lines are relativistic(nonrelativistic) results(from Ref.23).peak of the momentum distribution at low p-values(≤300MeV)is reduced and correspondingly the extracted spectroscopic factors are increased(by∼10–15%,as already estimated through the socalled Darwin term21).Second, the shape at high p-values(≥300MeV)is also modified.In addition,as the low components also depend on a σ· p factor,a different behaviour is expected for the spin-orbit partner shells,j=l±12(e.g.p1/2in16O)than for the stretched j=l+12.2TransparencyThe(e,e′p)reaction under quasi-free kinematics is also a valuable tool to study nucleon propagation in the nuclear medium.Data are available for Q2 up to7GeV2on a variety of target nuclei26.A systematic study has recently been accomplished10for proton kinetic energies in the range between300 and1800MeV that includes the minimum of the nucleon-nucleon total cross section and its rapid rise above the pion production threshold.These features are partially reflected in the energy-dependent attenuation of the protonflux. This attenuation is measured by the transparency ratioT=∆Ed E ∆ p d pσexp( p,E)2.3Polarization observablesThe measurement of proton polarization is simpler than the separation of the (polarized)structure functions and less affected by experimental errors,as it is obtained through the determination of asymmetries.With polarized incident electrons and polarized recoiling nucleons with spin directed alongˆs the cross section for a proton detected in the solid angle dΩp in coincidence with the electron of energy E′scattered in dΩ′can also be writtend3σσ0 1+ P·ˆs+h A+ P′·ˆs ,(4)2whereσ0is the unpolarized differential cross section, P the outgoing nucleon polarization,h the electron helicity,A the electron analyzing power,and P′the polarization transfer.In coplanar kinematics,only the component P N of P normal to the scattering plane survives,and P′lies within the scattering plane with components P′L and P′S,parallel(longitudinal)and perpendicular (sideways)to the outgoing proton momentum,respectively.Without FSI,P N=0.Therefore P N is a good candidate to look at when studying nuclear transparency,as its Q2dependence reflects the energy depen-dence of FSI.Afirst experiment has been performed on12C at MIT-Bates29 for(ω,q)=(194,756)MeV.Relativistic DWIA results are indeed sensitiveFigure2.The induced polarization of the p3/2proton hole in the12C(e,e′ p)reaction as a function of the missing momentum p m.Data from Ref.29.Solid(dotted)line with the EDAD1(EDAI-C)optical potential of Ref.30.Dashed line obtained with EDAD1after removing the negative-energy components in the bound state(from Ref.23).boffi:submitted to World Scientific on February8,20087to the model used to simulate FSI.In Fig.2they are compared with data using two versions of an optical model potential based on empirical effective interactions 30.The role of relativity is appreciated by removing the negative-energy components in the bound state (dashed line),while sensitivity to FSI is shown by the difference between solid and dotted lines.In particular,these data are dominated by the real part of the spin-orbit optical potential 29,31.Polarization transfer is a powerful technique to investigate the behaviour of the nucleon in vacuum and in the nucleus.The ratio P ′S /P ′L for a free proton is directly proportional to the ratio between the electric and magnetic form factors through a factor depending on the electron kinematics only:G pE P ′L E +E ′2θ).(5)The two recoil polarization components were measured simultaneously up to 6GeV 2at JLab 32with the surprising result that the ratio (5)decreases linearly with Q 2starting around 0.8GeV 2.This implies that G p E decreases much faster than the dipole form factor and nonrelativistically this means that the electric charge distribution in the proton extends to larger distances than the magnetization one.This trend is well reproduced in a chiral constituent-quark model where covariance is ensured in a point-form approach 33(Fig.3).For a nucleon embedded in the nuclear medium one would expect some effects on the spatial distribution of its constituents due to the close proximity0.010.110.40.60.81.0MilbrathJonesAndivahisWalkerHoehler µp G E p / G M pFigure 3.The ratio G pE /G p M rescaled by the theoretical proton magnetic moment µp ina (covariant)point-form approach with the Goldstone-boson-exchange quark model,com-pared to data as indicated (from Ref.33).boffi:submitted to World Scientific on February 8,20088Figure4.The observed super-ratio of Eq.(6)compared with the calculated one with(solid) and without(dashed)medium modified form factors.See text(courtesy of S.Dieterich). of the other nucleons.To observe such effects the ratio R T/R L has been proposed,as for a free nucleon it is proportional to G p M/G p E.However,it has proven to be a very difficult task to disentangle changes of the nucleon structure from other conventional nuclear effects,such as meson-exchange currents,isobar configurations and FSI,because the nucleon form factors of a bound nucleon are not observable(see Ref.11and references therein).Polarization observables are less sensitive to systematic uncertainties and model ambiguities than cross sections.In afirst experiment7on16O the ratio P′S/P′L at Q2=0.8GeV2has been found in good agreement with calcula-tions based on the free proton form factors with an experimental uncertainty of about18%.A more precise measurement involves the super-ratio|P′S/P′L|AR=3(e,e′NN)There is accumulating evidence for enhanced(e,e′p)transverse strength of non-single particle origin at high missing energies36,11.New data6on 16O(e,e′p)cross section and separated responses at Q2=0.8GeV2indicatea clear1s peak at40MeV missing energy at small missing momenta p m,but at larger p m there is no peak and the DWIA knockout cross section becomes much smaller than the data.For p m>200MeV the cross section is almost constant,(e,e′pp)and(e,e′pn)contributing by about one half of the mea-sured cross section37.Besides testing the limits of the single-particle model in one-nucleon knockout8,experiments are also proposed to directly observe two nucleons ejected in coincidence with the scattered electron.Exclusive two-nucleon emission by an electromagnetic probe has been proposed long time ago38to study nucleon-nucleon correlations.Due to the difficulty of measuring exceedingly small cross sections in triple coincidence, only with the advent of high-duty-cycle electron beams has a systematic in-vestigation become possible.At present,only a few pioneering measurements have been carried out39,40,41,2,42,but the prospects are very encouraging.The general theoretical framework involves the two-hole spectral den-sity43,1,44,whose strength gives the probability of removing two nucleons from the target,leaving the residual nucleus at some excitation energy.Integrating the two-hole spectral density over the energy of the residual nucleus one ob-tains the two-body density matrix incorporating nucleon-nucleon correlations. The triple coincidence cross section is again a contraction between a lepton and a hadron tensor,which contains the two-hole spectral density through bilinear products of hadron currents Jµof the type(2)suitably adapted to a final state with two ejected nucleons.FSI in principle require the solution of a three-body problem in the continuum.Thus one usually approximate FSI by an attenuatedflux of each ejectile due to an optical model potential.Even without FSI the two-hole spectral density is not factorized in the triple coincidence cross section.This makes a difficult task to extract informa-tion on correlations from data,and models are required to investigate suitable kinematic conditions where the cross section is particularly sensitive to corre-lations.A priori one may envisage that two-nucleon knockout is due to one-and two-body currents.Of course,one-body currents are only effective if cor-relations are present so that the nucleon interacting with the incident electron can be knockout together with another(correlated)nucleon.In contrast,two-body currents,typically due to meson exchanges and isobar configurations, lead naturally to two-nucleon emission even in an independent-particle shell model.boffi:submitted to World Scientific on February8,200810Two-body currents are mainly transverse and preferentially involve a proton-neutron pair.Thus reactions like(γ,pn)and(e,e′pn)are particu-larly sensitive to their effects.In contrast,(e,e′pp)reactions,where two-body currents play a minor role,are better suited to look for correlations,and res-olution of discretefinal states has been shown to provide an interesting tool to discriminate between contributions of different mechanisms responsible for two-nucleon emission46.The shape of the angular distribution of the two emitted nucleons mainly reflects the momentum distribution of their c.m.total angular momentum L inside the target nucleus.When removing two protons from the16O ground state,the relative1S0wave of the two protons is combined with L=0or2to give0+or2+states of the residual14C nucleus,respectively,while the relative 3P waves occur always combined with a L=1wave function giving rise to0+,1+,2+bining the reaction description of Ref.44with the many-body calculation of the two-particle spectral function in16O of Ref.45, in Ref.46the cross section for the0+ground state,and to a lesser extent also for thefirst2+state of14C,was shown to receive a major contribution from the1S0knockout.Such transitions are therefore most sensitive to short-range correlations.This is indeed the case,as seen in two exploratory studies performed at NIKHEF39,40,and confirmed in Ref.41.As the calculations give significantly different results for different correlation functions,precise data could give important constraint when modelling the off-shell behavior of the nucleon-nucleon potential.Superparallel kinematics has been preferred at Mainz42,with one proton ejected along the virtual photon direction and the other in the opposite direc-tion.In this kinematics only the pure longitudinal and pure transverse struc-ture functions occur in the cross section,and a Rosenbluth L/T separation becomes possible.The effect of two-body currents is further suppressed by looking at the longitudinal structure function that is most sensitive to short-range correlations.The data are still preliminary and require further analysis before a fully reliable comparison with calculations can be done.Nevertheless they show distinctive features predicted by calculations46,47.Tensor correlations are expected to play a major role in(e,e′pn)reactions where,however,the proton-neutron pair is ejected by a much more compli-cated mechanism involving two-body currents.In the superparallel kinematics of the proposed Mainz experiment3with(ω,q)=(215,316)MeV the pre-dicted cross sections for(e,e′pn)are about one order of magnitude larger than the corresponding cross sections for(e,e′pp)reactions49.This enhancement is partly due to meson-exchange currents and partly to tensor correlations. Quite different results are predicted depending on these correlations beingboffi:submitted to World Scientific on February8,200811included or not.An accurate determination of the two-hole spectral density is thus most desirable in order to disentangle the effects of two-body currents from those of nuclear correlations.Experimentally,additional and precise information will come from mea-surement of the recoil polarization of the ejected proton in either(e,e′pp)or (e,e′pn).Resolving differentfinal states is a precisefilter to disentangle and separately investigate the different processes due to correlations and/or two-body currents.The general formalism is available48and has been extended to study polarization observables also in the case of two nucleons emitted by a real photon50.4ConclusionsThe advent of high-energy continuous electron beams coupled to high-resolution spectrometers has opened a new era in the study of basic nuclear properties such as single-particle behaviour and nucleon-nucleon correlations by means of one-and two-nucleon emission.In parallel new relativistic the-oretical approaches have been developed showing that relativistic effects are most important and affect the interpretation of data even at moderate energies of the emitted particles.A striking feature coming out of the present analysis of(e,e′p)world data is an apparent Q2dependence of the extracted spectro-scopic factors.This is clearly not acceptable and indicates that something is missing in the theoretical treatment of the reaction mechanism.However,it is also rather important to measure cross sections directly without introducing a model-dependent treatment of data as was done in the past at low Q2in order to produce reduced cross sections or at high Q2when looking at the nuclear transparency.Polarization observables are most useful to gain information about hadron currents andfinal-state interactions.As the normal recoil polarization P N vanishes without FSI,its Q2dependence in exclusive(e,e′p)reactions deserves a detailed study in connection with the problem of nuclear transparency and, ultimately,of color transparency.Measuring the components of the induced (transfer)polarization,on the other side,gives important information about possible medium modification of the nucleon electromagnetic form factors. Ultimately,a complete determination of the scattering amplitudes is only possible with polarization measurements.Exclusive experiments with two-nucleon emission in electron scattering require triple coincidences with three spectrometers.This is now possible and thefirst experiments have been performed.By an appropriate selection of kinematic conditions and specific nuclear transitions,it has been shown that boffi:submitted to World Scientific on February8,200812data are sensitive to nuclear correlations.In turn these strictly depend on the nucleon-nucleon potential.Therefore,two-nucleon emission is a promising field deserving further investigation both experimentally and theoretically in order to solve a longstanding problem in nuclear physics.In conclusion,it is clear that thefield of electron scattering on complex nuclei offers a wide spectrum of still open problems in understanding the nuclear behaviour.5AcknowledgementsI would like to thank the organizers for a most pleasant workshop and their warm hospitality.I also would like to thank the Institute for Nuclear Theory at the University of Washington for its hospitality and the Department of Energy for partial support during the completion of this work.References1.S.Boffi,C.Giusti,F.D.Pacati and M.Radici,Electromagnetic Responseof Atomic Nuclei,Clarendon Press,Oxford,1996.2.A1/1-97:G.Rosner and J.Friedrich,spokemen.3.A1/5-98:P.Grabmayr and G.Rosner,spokemen.4.S.Dieterich et al.,Phys.Lett.B500,47(2001);A1/2-93:J.Friedrich,R.Ransome,G.Rosner and H.Schmieden,spokesmen.5.J.Gao et al.,Phys.Rev.Lett.84,3265(2000);E-89-003: A.Saha,W.Bertozzi,R.W.Lourie and L.B.Weinstein,spokemen.6.N.Liyanage et al.(E-89-003),Phys.Rev.Lett.86,5671(2001).7.S.Malov et al.,Phys.Rev.C62,057302(2000);E-89-033:C.Glashaus-ser,C.C.Chang,S.Nanda and R.Rutt,spokemen.8.E-00-102:A.Saha,W.Bertozzi,L.B.Weinstein and K.Fissum,spoke-men(an update to E89-003).9.E-91-013:D.Geesaman,spokeman.10.D.Abbott et al.,Phys.Rev.Lett.80,5072(1998).11.D.Dutta et al.,Phys.Rev.C61,061602(R)(2000).12.E-93-049:J.van den Brand,R.Ent and P.E.Ulmer,spokemen.13.S.Boffi,C.Giusti and F.D.Pacati,Phys.Rep.226,1(1993).14.A.Polls et al.,Phys.Rev.C55,810(1997).pik´a s et al.,Phys.Rev.C61,064325(2000).16.T.de Forest,Nucl.Phys.A392,232(1983).17.J.J.Kelly,Phys.Rev.C56,2672(1997).18.J.M.Ud´ıas et al.,Phys.Rev.C64,024614(2001).boffi:submitted to World Scientific on February8,20081319.S.Gardner and J.Piekarewicz,Phys.Rev.C50,2822(1994).20.J.A.Caballero et al.,Nucl.Phys.A632,323(1998).21.S.Boffiet al.,Nuovo Cim.A98,291(1987).22.J.A.Caballero et al.,Nucl.Phys.A643,189(1998).23.A.Meucci,C.Giusti and F.D.Pacati,Phys.Rev.C64,014604(2001).24.J.M.Ud´ıas et al.,Phys.Rev.Lett.83,5451(1999).25.J.J.Kelly,Phys.Rev.C60,044609(1999).26.D.F.Geesaman et al.,Phys.Rev.Lett.63,734(1989);G.Garino et al.,Phys.Rev.C45,780(1992);N.C.R.Makins et al.,Phys.Rev.Lett.72,1986(1994);T.G.O’Neill et al.,Phys.Lett.B351,87(1995).27.L.Frankfurt,M.Strikman and M.Zhalov,Phys.Lett.B503,73(2001).28.Y.S.Golubeva et al.,Phys.Rev.C57,2618(1998).29.R.J.Woo et al.,Phys.Rev.Lett.80,456(1998).30.E.D.Cooper et al.,Phys.Rev.C47,297(1993).31.J.M.Ud´ıas and J.R.Vignote,Phys.Rev.C62,034302(2000).32.M.K.Jones et al.,Phys.Rev.Lett.84,1398(2000);E-99-007:E.Brash,M.Jones,G.F.Perdrisat and V.Punjabi,spokemen.33.R.F.Wagenbrunn et al.,Phys.Lett.B511,33(2001).34.D.H.Lu et al.,Phys.Rev.C60,068201(1999).35.PR-01-013:S.Strauch,E.Brash,C.Glashausser and R.Ransome,spoke-men.36.P.E.Ulmer et al.,Phys.Rev.Lett.59,2259(1987);R.W.Lourie et al.,Phys.Rev.C57,R444(1993);M.Holtrop et al.,Phys.Rev.C58,3205 (1998).37.S.Janssen et al.,Nucl.Phys.A672,285(2000).38.K.Gottfried,Nucl.Phys.5,557(1958).39.C.J.G.Onderwater et al.,Phys.Rev.Lett.78,4893(1997).40.C.J.G.Onderwater et al.,Phys.Rev.Lett.81,2213(1998).41.R.Starink et al.,Phys.Lett.B474,33(2000).42.G.Rosner,Prog.Part.Nucl.Phys.44,99(2000).43.S.Boffi,in Two-nucleon Emission Reactions,ed.by O.Benhar andA.Fabrocini(ETS Editrice,Pisa,1990),p.87.44.C.Giusti and F.D.Pacati,Nucl.Phys.A615,373(1997).45.W.J.W.Geurts et al.,Phys.Rev.C54,1144(1996).46.C.Giusti et al.,Phys.Rev.C57,1691(1998).47.J.Ryckebusch et al.,Phys.Lett.B441,1(1998).48.C.Giusti and F.D.Pacati,Phys.Rev.C61,054617(2000).49.C.Giusti et al.,Phys.Rev.C60,054608(1999).50.C.Giusti and F.D.Pacati,nucl-th/0102036.boffi:submitted to World Scientific on February8,200814。