The Declaration of Independence IN CONGRESS, JULY 4, 1776 THE UNANIMOUS DECLARATION OF THE THIRTEEN UNITED STATES OF AMERAICA When in the course of human events, it becomes necessary for one people to dissolve the political bands which have connected them with another, and to assume among the powers of the earth, the separate and equal station to which the laws Nature and Nature’s God entitle them, a decent respect to the opinions of mankind requires that they should declare the causes which impel them to the separation. We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable rights, that they are among these are life, liberty and the pursuit of happiness. That to secure these rights, governments are instituted among them, deriving their just power from the consent of the governed. That whenever any form of government becomes destructive of these ends, it is the right of the people to alter or to abolish it, and to institute new government, laying its foundation on such principles and organizing its powers in such form, as to them shall seem most likely to effect their safety and happiness. Prudence, indeed, will dictate that governments long established should not be changed for light and transient causes; and accordingly all experience hath shown that mankind are more disposed to suffer, while evils are sufferable, than t right themselves by abolishing the forms to which they are accustomed. But when a long train of abuses and usurpations, pursuing invariably the same object evinces a design to reduce them under absolute despotism, it is their right, it is their duty, to throw off such government, and to provide new guards for their future security. Such has been the patient sufferance of these Colonies; and such is now the necessity, which constrains them to alter their former systems of government. The history of the present King of Great Britain is usurpations, all having in direct object tyranny over these States. To prove this, let facts be submitted to a candid world. He has refused his assent to laws, the most wholesome and necessary for the public good. He has forbidden his Governors to pass laws of immediate andpressing importance, unless suspended in their operation till his assent should be obtained; and when so suspended, he has utterly neglected to attend them. He has refused to pass other laws for the accommodation of large districts of people, unless those people would relinquish the right of representation in the Legislature, a right inestimable to them and formidable to tyrants only. He has called together legislative bodies at places unusual, uncomfortable, and distant from the depository of their public records, for the sole purpose of fatiguing them into compliance with his measures. He has dissolved representative houses repeatedly, for opposing with manly firmness his invasion on the rights of the people. He has refused for a long time, after such dissolution, to cause others to be elected ; whereby the legislative powers, incapable of annihilation, have returned to the people at large for their exercise; the State remaining in the meantime exposed to all the dangers of invasion from without and convulsion within. He has endeavored to prevent the population of these states; for that purpose obstructing the laws of naturalizing of foreigners; refusing to pass others to encourage their migration hither, and raising the condition of new appropriations of lands. He has obstructed the administration of justice, by refusing his assent of laws for establishing judiciary powers. He has made judges dependent on his will alone, for the tenure of their office, and the amount and payment of their salary. He has erected a multitude of new officers, and sent hither swarms of officers to harass our people, and eat out our substances. He has kept among us, in times of peace, standing armies without the consent of our legislatures. He has affected to render the military independent of and superior to the civil power. He has combined with others to subject us to a jurisdiction foreign to our constitution, and unacknowledged by our laws; giving his assent to their acts of pretended legislation. For quartering large bodies of armed troops among us; For protecting them, by a mock trial, from punishment for any murder which they should commit on the inhabitants of these States. For cutting off our trade with all parts of the world; For imposing taxes on us without our consent; For depriving us in many cases, of the benefits of trial by jury; For transporting us beyond seas to be tried for pretended offenses; For abolishing the free systems of English laws in a neighboring Province, establishing therein an arbitrary government, and enlarging its boundaries so as to render it at once an example and fit instrument for introducing the same absolute rule these Colonies; For taking away our Charters, abolishing our most valuable laws, and altering fundamentally the forms of our governments; For suspending our own Legislatures, and declaring themselves invested with power to legislate for us in all cases whatsoever. He has abdicated government here, by declaring us out of his protection and waging war against us. He has plundered our seas, ravaged our coasts, burnt our towns, and destroyed the lives of our people. He is at this time transporting large armies of foreign mercenaries to complete the works of death, desolation and tyranny, already begun with circumstances of cruelty and perfidy scarcely parallel in the most barbarous ages, and totally unworthy the head of a civilized nation. He has constrained our fellow citizens taken captive on the high seas to bear arms against their country, to become the executioners of their friends and brethren, or to fall themselves by their hands. He has excited domestic insurrection amongst us, and has endeavored to bring on the inhabitants of our frontiers, the merciless Indian savages, whose known rule of warfare, is an undistinguished destruction of all ages, sexes, and conditions. In every stage of these oppressions we have petitioned for redress in the most humble terms: our repeated petition have been answered only by repeated injury. A prince whose character is thus marked by every act which may define a tyrant is unfit to be the ruler of a free people. Nor have we been wanting in attention to our British brethren. We have warned them from time to time of attempts by their legislature to extend an unwarrantable jurisdiction over us. We have reminded them of the circumstances of our emigration and settlement here. We have appealed to their native justice and magnanimity, and we have conjured them by the ties of our common kindred to disavow these usurpation, which would inevitably interrupt our connections and correspondence. They too have been deaf to the voice of justice and of consanguinity. We must, therefore, acquiesce in the necessity, which denounces our separation, and hold them., as we hold the rest of mankind, enemies in war, in peace friends. We, therefore, the Representatives of the United States of America, in General Congress assembled , appealing to the supreme Judge of the world for the rectitude of our intentions, do, in the name, and by authority of the good people of these Colonies, solemnly publish and declare, That these United States Colonies and Independent States; that they are absolved by from all allegiance to the British Crown, and that all political connection between them and the State, they have full power to levy war, conclude peace, contract alliances, establish commerce, and to do all other acts and things which Independent States may of right do. And for the support of this declaration, with a firm reliance on the protection of Divine Providence, we mutually pledge to each other our lives, our fortunes, and our sacred honor. 在人类事务发展的过程中，当一个民族必须解除同另一个民族的联系，并按照自然法则和上帝的旨意，以独立平等的身份立于世界列国之林时，出于对人类舆论的尊重，必须把驱使他们独立的原因予以宣布。 我们认为下述真理是不言而喻的：人人生而平等，造物主赋予他们若干不可让与的权利，其中包括生存权、自由权和追求幸福的权利。为了保障这些权利，人们才在他们中间建立政府，而政府的正当权利，则是经被统治者同意授予的。任何形式的政府一旦对这些目标的实现起破坏作用时，人民便有权予以更换或废除，以建立一个新的政府。新政府所依据的原则和组织其权利的方式，务使人民认为唯有这样才最有可能使他们获得安全和幸福。若真要审慎的来说，成立多年的政府是不应当由于无关紧要的和一时的原因而予以更换的。过去的一切经验都说明，任何苦难，只要尚能忍受，人类还是情愿忍受，也不想为申冤而废除他们久已习惯了的政府形式。然而，当始终追求同一目标的一系列滥用职权和强取豪夺的行为表明政府企图把人民至于专制暴政之下时，人民就有权也有义务去推翻这样的政府，并为其未来的安全提供新的保障。这就是这些殖民地过去忍受苦难的经过，也是他们现在不得不改变政府制度的原因。当今大不列颠王国的历史，就是屡屡伤害和掠夺这些殖民地的历史，其直接目标就是要在各州之上建立一个独裁暴政。为了证明上述句句属实，现将事实公诸于世，让公正的世人作出评判。 他拒绝批准对公众利益最有益、最必需的法律。 他禁止他的殖民总督批准刻不容缓、极端重要的法律，要不就先行搁置这些法律直至征得他的同意，而这些法律被搁置以后，他又完全置之不理。 他拒绝批准便利大地区人民的其他的法律，除非这些地区的人民情愿放弃自己在自己在立法机构中的代表权；而代表权对人民是无比珍贵的，只有暴君才畏惧它。 他把各州的立法委员召集到一个异乎寻常、极不舒适而有远离他们的档案库的地方去开会，其目的无非是使他们疲惫不堪，被迫就范。 他一再解散各州的众议院，因为后者坚决反对他侵犯人民的权利。 他在解散众议院之后，又长期拒绝另选他人，于是这项不可剥夺的立法权便归由普通人民来行使，致使在这其间各州仍处于外敌入侵和内部骚乱的种种危险之中。 他力图阻止各州增加人口，为此目的，他阻挠外国人入籍法的通过，拒绝批准其他鼓励移民的法律，并提高分配新土地的条件。 他拒绝批准建立司法权利的法律，以阻挠司法的执行。 他迫使法官为了保住任期、薪金的数额和支付而置于他个人意志的支配之下。 他滥设新官署，委派大批官员到这里骚扰我们的人民，吞噬他们的财物。 他在和平时期，未经我们立法机构同意，就在我们中间维持其常备军。 他施加影响，使军队独立于文官政权之外，并凌驾于文官政权之上。 他同他人勾结，把我们置于一种既不符合我们的法规也未经我们法律承认的管辖之下，而且还批准他们炮制的各种伪法案，以便任其在我们中间驻扎大批武装部队；不论这些人对我们各州居民犯下何等严重的谋杀罪，他可用加审判来庇护他们，让他们逍遥法外；他可以切断我们同世界各地的贸易；未经我们同意便向我们强行征税；在许多案件中剥夺我们享有陪审制的权益；以莫须有的罪名把我们押送海外受审；他在一个邻省废除了英国法律的自由制度，在那里建立专制政府，扩大其疆域，使其立即成为一个样板和合适的工具，以便向这里各殖民地推行同样的专制统治；他取消我们的许多特许状，废除我们最珍贵的法律并从根本上改变我们各州政府的形式；他终止我们立法机构行使权力，宣称他们自己拥有在任何情况下为我们制定法律的权力。 他们放弃设在这里的政府，宣称我们已不属他们保护之列，并向我们发动战争。 他在我们的海域里大肆掠夺，蹂躏我们的沿海地区，烧毁我们的城镇，残害我们人民的生命。 他此时正在运送大批外国雇佣兵，来从事其制造死亡、荒凉和暴政的勾当，其残忍与卑劣从一开始就连最野蛮的时代也难以相比，他已完全不配当一个文明国家的元首。 他强迫我们在公海被他们俘虏的同胞拿起武器反对自己的国家，使他们成为残杀自己亲友的刽子手，或使他们死于自己亲友的手下。 他在我们中间煽动内乱，并竭力挑唆残酷无情的印地安蛮子来对付我们边疆的居民，而众所周知，印地安人作战的准则是不分男女老幼、是非曲直，格杀勿论。 在遭受这些压迫的每一阶段，我们都曾以最谦卑的言辞吁请予以纠正。而我们一次又一次的情愿，却只是被报以一次又一次的伤害。 一个君主，其品格被他的每一个只有暴君才干的出的行为所暴露时，就不配君临自由的人民。 我们并不是没有想到我们英国的弟兄。他们的立法机关想把无理的管辖权扩展到我们这里来，我们时常把这个企图通知他们。我们也曾把我们移民来这里和在这里定居的情况告诉他们。我们曾恳求他们天生的正义感和雅量，念在同种同宗的分上，弃绝这些掠夺行为，因为这些掠夺行为难免会使我们之间的关系和来往中断。可他们对这种正义和同宗的呼声也同样充耳不闻。因此，我们不得不宣布脱离他们，以对待世界上其他民族的态度对待他们：同我交战者，就是敌人；同我和好者，即为朋友。 因此我们这些在大陆会议上集会的美利坚合众国的代表们，以各殖民地善良人民的名义，并经他们授权，向世界最高裁判者申诉，说明我们的严重意向，同时郑重宣布： 我们这些联合起来的殖民地现在是，而且按公理也应该是，独立自由的国家；我们对英国王室效忠的全部义务，我们与大不列颠王国之间大不列颠一切政治联系全部断绝，而且必须断绝。 作为一个独立自由的国家，我们完全有权宣战、缔和、结盟、通商和采取独立国家有权采取的一切行动。 我们坚定地信赖神明上帝的保佑，同时以我们的生命、财产和神圣的名誉彼此宣誓来支持这一宣言。
我们都知道，测序本身并不难，难就难在基因组的后续组装拼接，因为它涉及到大量需要考虑的问题，如重复、到位、覆盖率等等，于是如何有效的得到最后的序列或者有意义的Scaffold是做基因组面临的一个很大问题。不同的人去做会得到不同的结果，如N50、N90，scaffold数量等等。 下面简单介绍一下SOAPdenovo组装的一般过程： Schematic overview of the assembly algorithm. (A) Genomic DNA was fragmented randomly and sequenced using paired-end technology.Short clones with sizes between 150 and 500 bp were amplifiedand sequenced directly; while long range (2–10 kb) paired-end libraries were constructed by circularizing DNA, fragmentation, and then purifying fragments with sizes in the range of 400–600 bp for cluster formation. (B) The raw or precorrected reads were then loaded into computer memory and de Bruijn graph data structure was used to represent the overlap among the reads. (C) The graph was simplified by removing erroneous connections (in red color on the graph) and solving tiny repeats by readpath: (i) Clipping the short tips, (ii) removing low-coverage links,(iii) solving tiny repeats by read path, and (iv) merging the bubbles thatwere caused by repeats or heterozygotes of diploid chromosomes. (D) On the simplified graph, we broke the connections at repeat boundaries and output the unambiguous sequence fragments as contigs. (E)We realigned the reads onto the contigs and used the paired-end information to join the unique contigs into scaffolds. (F) Finally, we filled in the intrascaffold gaps,which were most likely comprised by repeats, using the paired-end extracted reads. 更多内容 http://www.seq.cn/forum.php?mod=viewthreadtid=3451
在我们撰写论文时经常需要列举和举例，为了让句法表达更多样，表达得更地道，不妨来学习一下下面的指南，这是摘录自英国Manchester大学的学术论文语料库（Phrase Bank）和香港大学的学术论文工具箱。 Giving Examples Writers may give specific examples as evidence to support their general claims or arguments. Examples can also be used to help the reader or listener understand unfamiliar or difficult concepts, and they tend to be easier to remember. For this reason, they are often used in teaching. Finally, students may be required to give examples in their work to demonstrate that they have understood a complex problem or concept. Many paragraphs in academic writing show development from general statements to specific details or examples. In most paragraphs, therefore, examples usually come after a more general statement, as in the short extract below. Many words can often acquire a more narrow meaning over time, or may come to be chiefly used in one special sense. A classic example of this practice is the word doctor. There were doctors (i.e., learned men) in theology, law, and many other fields beside medicine, but nowadays when we send for the doctor we mean a member of only one profession. Examples as the main information in a sentence: For example / instance, the word doctor used to mean a learned man. For example , Smith and Jones (2004) conducted a series of semi-structured interviews in ...... By way of illustration , Smith (2003) shows how the data for ..... A classic / well-known example of this is ....... An example of this is the study carried out by Smith (2004) in which ....... X is a good example / illustration of ....... X illustrates this point / shows this point clearly. This can be illustrated briefly by ....... Young people begin smoking for a variety of reasons. They may, for example , be influenced by their peers, or they may see their parents as role models. The evidence of X can be clearly seen in the case of..… Another example of what is meant by X is ...... Diseases that can result at least in part from stress include arthritis, asthma, migrane, headaches and ulcers. Examples as additional information in a sentence Young people begin smoking for a variety of reasons, such as pressure from peers and the role model of parents. Pavlov found that if some other stimulus, for example the ringing of a bell, preceded the food, the dog would start salivating. In Paris, Gassendi kept in close contact with many other prominent scholars such as Kepler, Galileo, Hobbes, and Descartes. The prices of resources, such as copper, iron ore, oil, coal and aluminium, have declined in real terms over the past 20 years. Many diseases can result at least in part from stress, including: arthritis, asthma, migrane, headaches and ulcers.
通常，一份英文的研究计划大约1~2千字，虽然没有明文规定的要求，但是还是建议大家考虑以下几点： A typical research proposal will be somewhere between one and two thousand words. While we do not insist on a definite format, we encourage students to keep the following in mind: The proposal should begin by explaining the subject area in which the research is to be located, and providing an indication of the key theoretical, policy or empirical debates it plans to address. The proposal should then present a brief review of the literature you plan to contribute to in conducting your own research. You need to demonstrate a familiarity with the relevant academic literature and theories relating to your research proposal, and an awareness of the major lines of argument that have been developed in your chosen research field. You then need to discuss the research questions you plan to address. Importantly, you need to demonstrate the manner in which your research questions emanate from: gaps in the existing empirical literature; from the application of a particular theory in a specific industry or national context; or from a synthesis of a number of bodies of literature, for example. Although not essential, research questions that are topical or have policy relevance will be particularly welcome. You research proposal should be as specific and focused as possible. If your research is being driven by gaps in the existing literature, which of these gaps will you attempt to address? If your research is being driven by theoretical or policy debates, which specific points of these debates are you going to focus on? The research proposal can also provide some explanation of what led you to the topic. Thus, if your topic emerges from a long-standing interest or from interests you developed while studying for a former qualification, do not hesitate to impart this information - it will help to convey your motivation for pursuing doctoral studies. Depending on the nature of your subject, it is desirable to give some indication of the research methods that will be used to conduct the research. A variety of different research methods exists, so you should seek to identify the method that is most suited to your area of research - econometric modelling, participant observation, survey data analysis, case-study analysis, the analysis of historical records, for example. Most doctoral work involves empirical research. The successful completion of doctoral work in the time allotted thus often depends on the ability to obtain the data needed. If your proposed research involves empirical work you should provide an indication of how you might collect any relevant data. For example, you might like to say something about access to particular sources of information (whether you will need on-line access to databases, whether you can use relevant archives etc). You could also comment on the country or geographical region in which the study will take place and explain why you have chosen this country/ region. It might also be worth saying something about unit of analysis for the research (whether you are looking at individuals, groups, workplaces, companies etc) and provide some justification for your choice of unit of analysis. Importantly, you need to explain the manner in which the data you collect will enable you to address your research questions. You should give special attention to the feasibility of data collection. Your proposal may contain interesting and highly relevant research questions, and it may be well grounded in the literature, but it may not be a practical research enterprise. You must balance the scope of your proposal against the practical problems of data gathering. Does your research proposal call for special access to managers or organisations? How many potential variables or factors does it require you to address? Can you examine all of them? Students whose projects involve data gathering in countries other than the UK are advised to pay close attention to the issue of feasibility. Students whose projects depend on data that are not available in the UK should indicate in their proposal how they propose to finance their data gathering. Although no indication of the research findings can be presented, it is often beneficial to conclude the research proposal by indicating the contribution you envisage that your research will make to the literature in your particular subject area, or by indicating the potential practical or policy implications of your research. This means providing an indication of the extent to which you feel your research will make an original contribution, suggesting how it may fill gaps in existing research, and showing how it may extend understanding of particular topics. While your research proposal is judged mainly on content, it must also look professional. It should be typed and written in good English. If you are submitting a photocopy, make sure it is of the highest quality. Particular attention will be paid to clarity of expression and also the structure, coherence and flow of argument. Finally, always include a bibliography (in a standard format – e.g. Harvard) with your research proposal that lists books and articles to which you make reference in your proposal. Finally, it is natural for ideas to evolve and change, so you will not be obliged to adhere to the specifics of your proposal if you are offered a place on the programme. However, the proposal is the foundation of your working relationship with your supervisors and thus it cannot be radically altered without discussion and consultation with your supervisors. 【参考资料】 http://www.education.monash.edu.au/students/current/study-resources/proposalwriting.html http://www.ssdd.bcu.ac.uk/learner/writingguides/1.07.htm http://www.geog.ox.ac.uk/graduate/apply/research_proposal.html
Sentence-Combining Skills The Need to Combine Sentences Sentences have to be combined to avoid the monotony that would surely result if all sentences were brief and of equal length. (If you haven't already read them, see the sections on Avoiding Primer Style and Sentence Variety .) Part of the writer's task is to employ whatever music is available to him or her in language, and part of language's music lies within the rhythms of varied sentence length and structure. Even poets who write within the formal limits and sameness of an iambic pentameter beat will sometimes strike a chord against that beat and vary the structure of their clauses and sentence length, thus keeping the text alive and the reader awake. This section will explore some of the techniques we ordinary writers use to combine sentences. Compounding Sentences A compound sentence consists of two or more independent clauses . That means that there are at least two units of thought within the sentence, either one of which can stand by itself as its own sentence. The clauses of a compound sentence are either separated by a semicolon (relatively rare) or connected by a coordinating conjunction (which is, more often than not, preceded by a comma). And the two most common coordinating conjunctions are and and but. (The others are or, for, yet, and so. ) This is the simplest technique we have for combining ideas: Meriwether Lewis is justly famous for his expedition into the territory of the Louisiana Purchase and beyond , but few people know of his contributions to natural science. Lewis had been well trained by scientists in Philadelphia prior to his expedition , and he was a curious man by nature. Notice that the and does little more than link one idea to another; the but also links, but it does more work in terms of establishing an interesting relationship between ideas. The and is part of the immediate language arsenal of children and of dreams: one thing simply comes after another and the logical relationship between the ideas is not always evident or important. The word but (and the other coordinators) is at a slightly higher level of argument. Compounding Sentence Elements Within a sentence, ideas can be connected by compounding various sentence elements: subjects, verbs, objects or whole predicates, modifiers, etc. Notice that when two such elements of a sentence are compounded with a coordinating conjunction (as opposed to the two independent clauses of a compound sentence), the conjunction is usually adequate and no comma is required. Subjects: When two or more subjects are doing parallel things, they can often be combined as a compounded subject. Working together, President Jefferson and Meriwether Lewis convinced Congress to raise money for the expedition. Objects: When the subject(s) is/are acting upon two or more things in parallel, the objects can be combined. President Jefferson believed that the headwaters of the Missouri reached all the way to the Canadian border. He also believed that meant he could claim all that land for the United States. President Jefferson believed that the headwaters of the Missouri might reach all the way to the Canadian border and that he could claim all that land for the United States. Notice that the objects must be parallel in construction: Jefferson believed that this was true and that was true. If the objects are not parallel (Jefferson was convinced of two things: that the Missouri reached all the way to the Canadian border and wanted to begin the expedition during his term in office.) the sentence can go awry. Click here to review the principles of parallelism. Verbs and verbals: When the subject(s) is/are doing two things at once, ideas can sometimes be combined by compounding verbs and verb forms. He studied the biological and natural sciences. He learned how to categorize and draw animals accurately. He studied the biological and natural sciences and learned how to categorize and draw animals accurately. Notice that there is no comma preceding the "and learned" connecting the compounded elements above. In Philadelphia, Lewis learned to chart the movement of the stars. He also learned to analyze their movements with mathematical precision. In Philadelphia, Lewis learned to chart and analyze the movement of the stars with mathematical precision. OR — In Philadelphia, Lewis learned to chart the stars and analyze their movements with mathematical precision. (Notice in this second version that we don't have to repeat the "to" of the infinitive to maintain parallel form.) Modifiers: Whenever it is appropriate, modifiers such as prepositional phrases can be compounded. Lewis and Clark recruited some of their adventurers from river-town bars. They also used recruits from various military outposts. Lewis and Clark recruited their adventurers from river-town bars and various military outposts. Notice that we do not need to repeat the preposition from to make the ideas successfully parallel in form. Subordinating One Clause to Another The act of coordinating clauses simply links ideas; subordinating one clause to another establishes a more complex relationship between ideas, showing that one idea depends on another in some way: a chronological development, a cause-and-effect relationship, a conditional relationship, etc. William Clark was not officially granted the rank of captain prior to the expedition's departure. Captain Lewis more or less ignored this technicality and treated Clark as his equal in authority and rank. Although William Clark was not officially granted the rank of captain prior to the expedition's departure , Captain Lewis more or less ignored this technicality and treated Clark as his equal in authority and rank. The explorers approached the headwaters of the Missouri. They discovered, to their horror, that the Rocky Mountain range stood between them and their goal, a passage to the Pacific. As the explorers approached the headwaters of the Missouri , they discovered, to their horror, that the Rocky Mountain range stood between them and their goal, a passage to the Pacific. When we use subordination of clauses to combine ideas, the rules of punctuation are very important. It might be a good idea to review the definition of clauses at this point and the uses of the comma in setting off introductory and parenthetical elements. Using Appositives to Connect Ideas The appositive is probably the most efficient technique we have for combining ideas. An appositive or appositive phrase is a renaming, a re-identification, of something earlier in the text. You can think of an appositive as a modifying clause from which the clausal machinery (usually a relative pronoun and a linking verb) has been removed. An appositive is often, but not always, a parenthetical element which requires a pair of commas to set it off from the rest of the sentence. Sacagawea, who was one of the Indian wives of Charbonneau, who was a French fur-trader, accompanied the expedition as a translator. A pregnant, fifteen-year-old Indian woman , Sacagawea, one of the wives of the French fur-trader Charbonneau , accompanied the expedition as a translator. Notice that in the second sentence, above, Sacagawea's name is a parenthetical element (structurally, the sentence adequately identifies her as "a pregnant, fifteen-year-old Indian woman"), and thus her name is set off by commas; Charbonneau's name, however, is essential to the meaning of the sentence (otherwise, which fur-trader are we talking about?) and is not set off by a pair of commas. Click here for additional help identifying and punctuating around parenthetical elements. Using Participial Phrases to Connect Ideas A writer can integrate the idea of one sentence into a larger structure by turning that idea into a modifying phrase. Captain Lewis allowed his men to make important decisions in a democratic manner. This democratic attitude fostered a spirit of togetherness and commitment on the part of Lewis's fellow explorers. Allowing his men to make important decisions in a democratic manner, Lewis fostered a spirit of togetherness and commitment among his fellow explorers. In the sentence above, the participial phrase modifies the subject of the sentence, Lewis. Phrases like this are usually set off from the rest of the sentence with a comma. The expeditionary force was completely out of touch with their families for over two years. They put their faith entirely in Lewis and Clark's leadership. They never once rebelled against their authority. Completely out of touch with their families for over two years, the men of the expedition put their faith in Lewis and Clark's leadership and never once rebelled against their authority. Using Absolute Phrases to Connect Ideas Perhaps the most elegant — and most misunderstood — method of combining ideas is the absolute phrase . This phrase, which is often found at the beginning of sentence, is made up of a noun (the phrase's "subject") followed, more often than not, by a participle. Other modifiers might also be part of the phrase. There is no true verb in an absolute phrase, however, and it is always treated as a parenthetical element, an introductory modifier, which is set off by a comma. The absolute phrase might be confused with a participial phrase, and the difference between them is structurally slight but significant. The participial phrase does not contain the subject-participle relationship of the absolute phrase; it modifies the subject of the the independent clause that follows. The absolute phrase, on the other hand, is said to modify the entire clause that follows. In the first combined sentence below, for instance, the absolute phrase modifies the subject Lewis, but it also modifies the verb, telling us "under what conditions" or "in what way" or "how" he disappointed the world. The absolute phrase thus modifies the entire subsequent clause and should not be confused with a dangling participle , which must modify the subject which immediately follows. Lewis's fame and fortune was virtually guaranteed by his exploits. Lewis disappointed the entire world by inexplicably failing to publish his journals. His fame and fortune virtually guaranteed by his exploits, Lewis disappointed the entire world by inexplicably failing to publish his journals. Lewis's long journey was finally completed. His men in the Corps of Discovery were dispersed. Lewis died a few years later on his way back to Washington, D.C., completely alone. His long journey completed and his men in the Corps of Discovery dispersed, Lewis died a few years later on his way back to Washington, D.C., completely alone.
PDF016The Searle Research Center both in China and USA.pdf 附录1 ： John Searle （约翰 塞尔）Slusser Professor of Philosophy http://socrates.berkeley.edu/~jsearle/ http://en.wikipedia.org/wiki/John_Searle 附录2 ： 融智学 如何把的 哲学 大框架转变为 科学 的 文化基因系统工程 (2012-06-01 22:13) http://blog.sina.com.cn/s/blog_65197d9301010dbv.html 邹晓辉《软件》杂志2011年第5-9期五篇论文的全文下载地址 http://youth.sciencenet.cn/blog-94143-508331.html 交流彼此关于哲学大框架的基本观点（即“语言-心智-世界”三大基本范畴的相互关系）并达成一致的理解 塞尔：I like that （指黑板上写的和彼此就哲学大框架“语言-心智-世界”三大基本范畴的相互关系达成的一致理解）
From: alerts@aaas-science.org To: XIAOHUIZOU@HOTMAIL.COM Date: Thu, 31 May 2012 19:15:07 -0400 Subject: Science Table of Contents Text for 01 June 2012; Vol. 336, No. 6085 View on mobile or on web page - - - - - Sponsored by BD Biosciences - - - - - Enhanced biological safety for flow cytometry Biosafety cabinets developed for BD flow cytometry instruments provide a high standard of safety , protecting people, products, and the environment. Learn more about the innovations from BD that can improve your workflow, results, and provide the highest level of safety in your lab. bdbiosciences.com/go/biosafety Science | Science Signaling | Science Translational Medicine | Science Express | Science Classic Science , 01 June 2012 (Volume 336, Issue 6085) http://www.sciencemag.org/content/vol336/issue6085/index.dtl?etoc Also online at Science : : Science Express -- selected papers published in advance of print Daily News -- daily postings from Science 's award-winning news team Science Signaling -- online cell signaling journal and knowledge environment Science Careers -- job postings and career advice for scientists Science Translational Medicine -- integrating medicine and science Recommend to Your Library Science Podcast A quantum approach to quantum field theories, motion restoration after spinal cord injury, the mysteries of astronomy, and more. Listen now . Science Video Portal Featuring contributions from our authors and the staff at Science . Tumor Blocker May Fight Fibrosis The Milky Way's Oldest and Wisest Stars Occupy the Neolithic Distant Planets, Protein Folding, and Esoteric Mathematics Net Shaw Prizes In this week's issue: Research Summaries This Week in Science Editor summaries of this week papers. http://www.sciencemag.org/content/vol336/issue6085/twis.dtl Editors' Choice Highlights of the recent literature. http://www.sciencemag.org/content/vol336/issue6085/twil.dtl Editorial Competitions to Support STEM Arthur Eisenkraft http://www.sciencemag.org/cgi/content/summary/336/6085/1079 News of the Week This Week's Section http://www.sciencemag.org/cgi/content/summary/336/6085/1082-a Around the World In science news around the world this week, France's latest attempt to keep genetically modified crops from its fields was rebuked by a scientific panel at the European Food Safety Authority; a Senate committee wants to sink the U.S. military's biofuels program; police prevented U.K. activists from destroying an experiment to test a strain of genetically modified wheat; and the European Commission said that open access "will be the norm" for studies funded through Europe's 80 billion Horizon 2020 research program. http://www.sciencemag.org/cgi/content/summary/336/6085/1082-b Random Sample The Innovative Medicines Initiative has launched a new
海啸灾难难道又要重现印度洋？？？下面是来自美国地震局的消息 Magnitude 8.7 - OFF THE WEST COAST OF NORTHERN SUMATRA2012 April 11 08:38:38 UTC Details Maps Tsunami Earthquake Details This event has been reviewed by a seismologist. Magnitude 8.7 Date-Time Wednesday, April 11, 2012 at 08:38:38 UTC Wednesday, April 11, 2012 at 02:38:38 PM at epicenter Location 2.348°N, 93.073°E Depth 33 km (20.5 miles) Region OFF THE WEST COAST OF NORTHERN SUMATRA Distances 431 km (268 miles) SW (216°) from Banda Aceh, Sumatra, Indonesia 962 km (598 miles) W (265°) from KUALA LUMPUR, Malaysia Location Uncertainty horizontal +/- 14 km (8.7 miles); depth +/- 2.8 km (1.7 miles) Parameters NST=243, Nph=243, Dmin=514.3 km, Rmss=1.67 sec, Gp= 36°, M-type=regional moment magnitude (Mw), Version=8 Source Magnitude: USGS NEIC (WDCS-D) Location: USGS NEIC (WDCS-D) Event ID usc000905e
我们是浙江宁波的，预约的是12月30号在上海面签。因此，我，老婆，二岁的儿子和一个女同事（照顾儿子的）于29号晚上就赶到了上海，入住了梅隆广场附近的锦江之星（恒隆广场店），感觉这个宾馆还可以，离签证的地方近，出来左转向着南南京西路的方向直接走，过2个路口，到奉贤路上（恒隆广场口上），然后左转，直接走，过了江宁路就到，是什么剧院的对面。当天晚上我们和儿子一起还去侦查了下情况。第二天上午7点起床，收拾一下大概也8点多了，于是开始向梅隆广场进军。期间把儿子还在宾馆睡觉，估计他醒来后，看不到妈妈不知道会如何表现。事后问了下同事，那表现的是相当的听话。 我们到了那里，已经排开了长队，足足有200多人。排队期间，工作人员还给我们发了EMS单子，把相应的信息都写上，特别是护照号不要错了，错了也没有关系，再跟他要一张即可。8：30左右开始放人，拿号。这里注意一下，放人的时候，工作人员还要说预约时间早点的，让早进。我预约的是9：30，但也跟9：00的人混进来了。拿到号以后，跟着人流，直接坐电梯上8楼，脱衣服安检后，进入签证大厅。不得提一下，检查资料的MM,人涨的漂亮，态度还特别好。交完材料，接下来就是排队。等着叫号，3号取回来刚才交的东西，然后去4号录指纹。晕，此时才发现DS-2019表给搞错了，把错误的表给他们的，自己动手把正确的换上。接下来就是蛇形排除，终于轮到我们了。 我们被分到10号窗口，是一个黑人的哥哥，表情还算严肃。一上来，我就说 Good morning, Sir，I want to apply for J1 visa and this is my wife, she want to apply for J2. 此时，黑人哥哥打断我，说Where are you going?我回了一句，你的导师是谁，我立即把导师的CV送上去，他看了一眼，说Chinese? 我说yes. 然后我说Here is my CV，Prof. CV, invited letter, Research Plan. 不过这里得批评一下这个VO,他离Micro比较远，when and Why说的太轻而且也有点快，让我Pardon了好几次，特别是有一个问题When are you coming back?我听成了Why are you coming back. 真羡慕11号窗口的白人MM,那嗓门真大，而且发音真标准还不快，有个兄弟也是去作博士后，问了几句MM直接上来就中文了。 接下来问，what is your major, 我说Physics, 接下来问，what will you do after back, 我说 do my job, 接下来问，what is your job, 我说，Teacher, 在哪个学校 接下来问，what do you teach, 我说 physics, 接下来问，有多少学生，我说，about 100, 接下来他说，it is a big class, 我说 two classes 期间冷了十来seconds,我就说 would you like to see our photos? VO: No, 接着他就说wait a second? 心想不好，这要去干什么，果然过去拿了个粉色的单子过来，然后就扔出来了，当时脑子一片空白，本想问问这是Check吗？也没有问出来，前面什么也没有听到，就听到three weeks, 娘地，看来经验还是不够呀。忘记说了VO留下我们一家三口的护照，Research Plan, Prof. CV, DS-160, 不知道为什么没有收Invited letter和我的CV. 就这样，和老婆出来了，期间VO一句话也没有问老婆。大体情况是这样，主要是纪念一下这个过程吧，有点乱，孩子还在旁边捣乱，不好意思大家将就看吧。祝愿自己能早日CLEAR，多谢大家的捧场。
BRMIX: very serious problems the old and the new charge density differ 解决方案汇总（google,baidu的前10个搜索结果）： 1，ISYM=0； Set ISYM = 0 explicitly in the INCAR file. (I had ADDGRID added as well). Helped me with VASP 4.6 and VASP 5.2.2 2， 1) 增大PREC。please have a look whether the grid for the Broyden mixing is lage enough (WARNING: grid for Broyden might be to small in OUTCAR). If so, increase PREC and check if the error persists 2) 增大K点。in case you use a tetrahedron method for BZ integration your k-mesh should be large enough to fill the (I)BZ with tetrahedra completely 3，降低优化选项 1) The problem disappears after reducing optimization level from -O4 to -O3. 2) The parallel version only works if I reduce optimization flag to -O1 at which point the serial version is faster anyways. 3) OFLAG=-O3 -xW 改成 OFLAG=-O1 看看 或许是优化参数的问题 4，在K点中加入Gamma点 We found that there's an error in the way VASP calculates k-points when using the Monkhorst-pack scheme and that the problem would be fixed if we used Gamma centered instead. 5，修改编译器 用ifort10就会出现这个问题，vasp论坛上说这个说的很多了。改用ifort9或者最新的ifort11都可以完美解决这个问题。
pilot study，准确点说就是“预试验”，且看它在经济学里面的应用 Consumer-research study done on a trial basis to determine the potential of a larger and more in-depth survey of the same subject matter; also called pilot survey. A pilot study is used in segmentation product usage, and attitudinal, motivational, and other types of market research studies. For example, a market researcher may conduct a pilot study on a sample of 500 mothers to determine their attitudes about a certain type of diaper. If the study results show that the mothers responded favorably to the new brand, another study may be conducted with a larger sample size to determine other factors, such as diaper usage. 而在公卫领域中就要提JOHN M. LAST 给的定义了， A pilot study is a small-scale methodological test（小规模的方法学研究）intended to ensure that proposed methods and procedures will work in practice before being applied in a large, expensive investigation. Pilot studies provide an opportunity to make adjustments and revisions before investing in, and incurring, the heavy costs associated with a large study.
观测真的可以改变系统吗？？？？舍此之外，无更经典的解释？？？ Important in the field of quantum mechanics , the Stern–Gerlach experiment , named after Otto Stern and Walther Gerlach , is a 1922 experiment on the deflection of particles , often used to illustrate basic principles of quantum mechanics. It can be used to demonstrate that electrons and atoms have intrinsically quantum properties, and how measurement in quantum mechanics affects the system being measured. Contents 1 Basic theory and description 2 Sequential experiments 3 History 4 Impact 5 See also 6 References 7 Further reading 8 External links Basic theory and description See also: Spin quantum number Basic elements of the Stern–Gerlach experiment. The Stern–Gerlach experiment involves sending a beam of particles through an inhomogeneous magnetic field and observing their deflection. The results show that particles possess an intrinsic angular momentum that is most closely analogous to the angular momentum of a classically spinning object, but that takes only certain quantized values. The experiment is normally conducted using electrically neutral particles or atoms. This avoids the large deflection to the orbit of a charged particle moving through a magnetic field and allows spin-dependent effects to dominate. If the particle is treated as a classical spinning dipole , it will precess in a magnetic field because of the torque that the magnetic field exerts on the dipole (see torque-induced precession ). If it moves through a homogeneous magnetic field, the forces exerted on opposite ends of the dipole cancel each other out and the trajectory of the particle is unaffected. However, if the magnetic field is inhomogeneous then the force on one end of the dipole will be slightly greater than the opposing force on the other end, so that there is a net force which deflects the particle's trajectory. If the particles were classical spinning objects, one would expect the distribution of their spin angular momentum vectors to be random and continuous. Each particle would be deflected by a different amount, producing a smooth distribution on the detector screen. Instead, the particles passing through the Stern-Gerlach apparatus are deflected either up or down by a specific amount. This result indicates that spin angular momentum is quantized (i.e., it can only take on discrete values), so that there is not a continuous distribution of possible angular momenta. If the experiment is conducted using charged particles like electrons, there will be a Lorentz force that tends to bend the trajectory in a circle (see cyclotron motion ). This force can be cancelled by an electric field of appropriate magnitude oriented transverse to the charged particle's path. Spin values for fermions. Electrons are spin- 1 ⁄ 2 particles. These have only two possible spin angular momentum values measured along any axis, +ħ/2 or −ħ/2. If this value arises as a result of the particles rotating the way a planet rotates, then the individual particles would have to be spinning impossibly fast. Even if the electron radius were as large as 2.8 fm (the classical electron radius ), its surface would have to be rotating at 2.3 × 10 11 m/s . The speed of rotation at the surface would be in excess of the speed of light, 2.998 × 10 8 m/s , and is thus impossible. Instead, the spin angular momentum is a purely quantum mechanical phenomenon. Because its value is always the same, it is regarded as an intrinsic property of electrons, and is sometimes known as "intrinsic angular momentum" (to distinguish it from orbital angular momentum, which can vary and depends on the presence of other particles). For electrons there are two possible values for spin angular momentum measured along an axis. The same is true for the proton and the neutron , which are composite particles made up of three quarks each (which are themselves spin- 1 ⁄ 2 particles). Other particles have a different number of possible spin values. Delta baryons ( Δ ++ , Δ + , Δ 0 , Δ − ), for example, are spin + 3 ⁄ 2 particles and have four possible values for spin angular momentum. Vector mesons , as well as photons , W and Z bosons and gluons are spin +1 particles and have three possible values for spin angular momentum. To describe the experiment with spin + 1 ⁄ 2 particles mathematically, it is easiest to use Dirac 's bra-ket notation. As the particles pass through the Stern–Gerlach device, they are "being observed." The act of observation in quantum mechanics is equivalent to measuring them. Our observation device is the detector and in this case we can observe one of two possible values, either spin up or spin down. These are described by the angular momentum quantum number j , which can take on one of the two possible allowed values, either +ħ/2 or −ħ/2. The act of observing (measuring) the momentum along the z axis corresponds to the operator J z . In mathematical terms, The constants c 1 and c 2 are complex numbers. The squares of their absolute values (| c 1 | 2 and | c 2 | 2 )determine the probabilities that in the state one of the two possible values of j is found. The constants must also be normalized in order that the probability of finding either one of the values be unity. However, this information is not sufficient to determine the values of c 1 and c 2 , because they may in fact be complex numbers. Therefore the measurement yields only the absolute values of the constants. Sequential experiments If we link multiple Stern–Gerlach apparatuses, we can clearly see that they do not act as simple selectors, but alter the states observed (as in light polarization ), according to quantum mechanical law: History A plaque at the Frankfurt institute commemorating the experiment The Stern–Gerlach experiment was performed in Frankfurt , Germany in 1922 by Otto Stern and Walther Gerlach . At the time, Stern was an assistant to Max Born at the University of Frankfurt 's Institute for Theoretical Physics , and Gerlach was an assistant at the same university's Institute for Experimental Physics . At the time of the experiment, the most prevalent model for describing the atom was the Bohr model , which described electrons as going around the positively-charged nucleus only in certain discrete atomic orbitals or energy levels . Since the electron was quantized to be only in certain positions in space, the separation into distinct orbits was referred to as space quantization . The Stern–Gerlach experiment was meant to test the Bohr–Sommerfeld hypothesis that the direction of the angular momentum of a silver atom is quantized. Note that the experiment was performed several years before Uhlenbeck and Goudsmit formulated their hypothesis of the existence of the electron spin . Even though the result of the Stern−Gerlach experiment has later turned out to be in agreement with the predictions of quantum mechanics for a spin- 1 ⁄ 2 particle, the experiment should be seen as a corroboration of the Bohr-Sommerfeld theory . In 1927, T.E. Phipps and J.B. Taylor reproduced the effect using hydrogen atoms in their ground state, thereby eliminating any doubts that may have been caused by the use of silver atoms. (In 1926 the non-relativistic Schrödinger equation had incorrectly predicted the magnetic moment of hydrogen to be zero in its ground state. To correct this problem Pauli introduced "by hand" so to speak, the 3 spin matrices which now bear his name, but which were then later shown by Dirac in 1928 to be intrinsic in his relativistic equation.) Impact The Stern–Gerlach experiment had one of the biggest impacts on modern physics: In the decade that followed, scientists showed using similar techniques, that the nuclei of some atoms also have quantized angular momentum. It is the interaction of this nuclear angular momentum with the spin of the electron that is responsible for the hyperfine structure of the spectroscopic lines. In the thirties, using an extended version of the Stern–Gerlach apparatus, Isidor Rabi and colleagues showed that by using a varying magnetic field, one can force the magnetic momentum to go from one state to the other. The series of experiments culminated in 1937 when they discovered that state transitions could be induced using time varying fields or RF fields . The so called Rabi oscillation is the working mechanism for the Magnetic Resonance Imaging equipment found in hospitals. Norman F. Ramsey later modified the Rabi apparatus to increase the interaction time with the field. The extreme sensitivity due to the frequency of the radiation makes this very useful for keeping accurate time, and it is still used today in atomic clocks . In the early sixties, Ramsey and Daniel Kleppner used a Stern–Gerlach system to produce a beam of polarized hydrogen as the source of energy for the hydrogen Maser , which is still one of the most popular atomic clocks. The direct observation of the spin is the most direct evidence of quantization in quantum mechanics. The Stern–Gerlach experiment has become a paradigm of quantum measurement . In particular, it has been assumed to satisfy von Neumann projection . According to more recent insights, based on a quantum mechanical description of the influence of the inhomogeneous magnetic field, this can be true only in an approximate sense. Von Neumann projection can be rigorously satisfied only if the magnetic field is homogeneous. Hence, von Neumann projection is even incompatible with a proper functioning of the Stern–Gerlach device as an instrument for measuring spin.
看了普林斯顿大学主页的介绍，有一点很让我很惊讶。这个世界第四古老的大学，居然只有1132个员工，7000多个学生。这在中国也就是一个专科学校的规模。可普林斯顿的产出与排名均在世界前三名内。 Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering. As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching. Today, more than 1,100 faculty members instruct approximately 5,000 undergraduate students and 2,500 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education. Academics Faculty, including full time, part time and visiting: 1,132 (spring 2010) Undergraduate student to faculty ratio: 6:1 Departments: 34 Interdisciplinary certificate programs: 46 Schools within the University: School of Architecture, School of Engineering and Applied Science, Woodrow Wilson School of Public and International Affairs Library holdings: More than 13 million in 11 libraries Students Student enrollment: 7,494 total; 5,044 undergraduate; 2,450 graduate (2009-10) Undergraduate admission rate in 2010-11: 8.8 percent Undergraduate students on financial aid: 60 percent Average financial aid grant for the class of 2014: $36,650 Students from more than 98 countries American minorities make up approximately 37 percent of the undergraduate student body
以色列一科学家质疑100多篇关于Runx3的文章。Science 28 October 2011: Vol. 334 no. 6055 pp. 442-443 DOI: 10.1126/science.334.6055.442 NEWS ANALYSIS CANCER RESEARCH Dispute Over Tumor Suppressor Gene Runx3 Boils Over Dennis Normile A key, decade-old finding by a prominent Japanese cancer researcher based at the National University of Singapore (NUS) is under fire from a group in Israel that calls it “irreproducible.” If the challenge overturns the original work, which identified a gene called Runx3 as a tumor suppressor, hundreds of scientific papers might be affected. The dispute began with a scientific disagreement almost a decade ago and escalated sharply after the group in Israel filed a formal complaint earlier this fall with NUS, which recently launched an investigation. View larger version: In this page In a new window Confident. Yoshiaki Ito says his designation of Runx3 as a tumor suppressor will stand up to scrutiny. CREDIT: D. NORMILE/ SCIENCE The challenge comes from a group led by Yoram Groner of the Weizmann Institute of Science in Rehovot, Israel. In 2001, Groner's group published a paper in Mechanisms of Development cataloging, among other things, the tissues in which Runx3 is expressed; they did not find it in gastrointestinal tract epithelium. Little was then known about Runx3 's function. A year later, a team of researchers at institutes in Japan and South Korea led by Yoshiaki Ito, then at Kyoto University, published a paper in Cell claiming that Runx3 is expressed in gastrointestinal tract epithelium and that it functions as a tumor suppressor, concluding that “a lack of Runx3 function is causally related to the genesis and progression of human gastric cancer.” The two groups have defended their clashing results ever since. Groner and his colleagues launched their recent salvo in a paper first published online on 8 August by EMBO Molecular Medicine . In it, they claim that “using seven different stringent measures, we herein provide compelling evidences that not only directly, definitely and unequivocally rule out the possibility that Runx3 is expressed in , but also challenge the notion that Runx3 functions in this tissue as a TSG .” The team reported that it tried but failed to replicate the results of the original Cell paper using the same line of knockout mice Ito's team used. In supplemental material published with the EMBO Molecular Medicine paper, Groner's team lists 286 papers that the team says are based at least partly on the 2002 Cell paper by Ito's group. “None of the previous reports has gone back and carefully examined, using a variety of highly stringent measures, whether Runx3 is actually expressed in the tissue in which it was reported to be expressed,” the team writes. Groner's group claims that 145 of those papers rely on an analysis of the status of Runx3 DNA methylation that “does not and cannot represent a proof or even a credible indication/suggestion that the methylated gene is a TSG.” Other papers, according to the challengers, got unreliable results, and some failed to find Runx3 expression in the gastrointestinal tract epithelium. At the request of an official at NUS, Groner says, he filed a formal complaint with the university. The Ito group's results “are irreproducible, and because of the nature of the irreproducibility, and they cannot be reproduced in the original mice that they are supposed to be reproduced in, the only conclusion could not possibly be reached in the first place,” Groner says. The university confirmed in a statement that Groner “has contacted us and an inquiry is in process according to the university's research integrity code” but declined further comment. The inquiry came to light when Singapore's Straits Times newspaper reported it on 19 October. In response, Ito says, “I strongly believe that scientific disagreements can be solved only in the scientific arena.” Shortly after publishing the Cell paper in 2002, Ito and several members of his team moved to the Institute of Molecular and Cell Biology, part of Singapore's Agency for Science, Technology and Research, and later to the Cancer Science Institute of Singapore at NUS. Ito concedes that his group cannot now replicate a key experiment from the 2002 Cell paper in the line of mice originally used. This is an “embarrassment,” he says. The mouse line has been bred continuously for 10 years; he says it's possible that the marker gene inserted into the genome could have been deleted or silenced. In a long rebuttal submitted to EMBO Molecular Medicine and provided to Science , Ito points to other studies supporting his group's work, particularly their own 2005 paper in Cancer Research finding Runx3 in the human gastrointestinal tract, a finding he says has been replicated by at least one other group. Groner's team did not address these results, Ito says, adding that Groner's EMBO Molecular Medicine paper “is full of flaws.” Many Runx researchers find the latest twist in the saga unfortunate. “Differences in gene-targeting strategies and quirks of antibody reactivity could not be excluded as the source of discrepancies” between the two groups, says James Neil, a cancer researcher who has studied the Runx genes for over 10 years at the University of Glasgow in the United Kingdom. He says the Groner group's recent results “are impressively negative.” He adds: “Proving a negative is not an easy task in biology.” Still, the findings, although not conclusive, “may have shifted the burden of proof towards those who believe Runx3 to be a tumor suppressor.” View larger version: In this page In a new window Skeptical. Yoram Groner says key Runx3 findings are irreproducible. CREDIT: YIVSAM AZGAD, THE WEIZMANN INSTITUTE MAGAZINE If Groner's conclusions hold up, “it will have a significant bearing on our interpretation of the role of Runx3 in epithelial cancers,” Neil says. He explains that researchers have been receptive to the concept of Runx3 as a tumor suppressor because of several lines of evidence, particularly the extensively replicated observation that Runx3 's promoter is methylated in epithelial and other cancers, indicating that the promoter and therefore the gene were switched off. He says this is supportive circumstantial evidence but “not definitive evidence of a causal role” for Runx3 . Just what the results could mean for the 286 papers Groner's group identifies as based on the Ito team's 2002 Cell paper is not clear. According to the supplemental material, the Groner team searched PubMed using the terms “Runx3” and “cancer” and evaluated papers returned for relevancy. But an author of 18 of those papers, Shuji Ogino, a cancer researcher at the Dana-Farber Cancer Institute and Harvard Medical School in Boston, says his papers shouldn't be on the list. They use Runx3 simply as a biological marker and are not focusing on its function at all. “My papers are not based on that Cell paper,” he says. Neil thinks the only way to resolve the impasse is by conducting experiments with knockout mice in which Runx3 is specifically inactivated in epithelial cells. Ito says he is now laying plans to develop the required mice, but that will take time. Meanwhile, Neil says, “I suspect that most in the Runx community remain open-minded.”
1.This moment will nap ,you will have a dream; But this moment study,you will interpret a dream. 此刻打盹，你将做梦；此刻学习，你将圆梦。 2. I leave uncultivated today,was precisely yesterday perishestomorrow which person of the body implored. 我荒废的今日，正是昨日殒身之人祈求的明日。 3.Thought is already is late,exactlly is the earliest time. 觉得为时已晚时，恰恰是最早的时候。 4. Not matteer of the today will drog tomorrow. 勿将今日之事拖到明日。 5.Time the study pain is temporary,has not learned the pain is life-long. 学习时的痛苦是暂时的，而没学到的痛苦是终身的。 6. Studies this matter,lacks the time,butis lacks diligently. 学习这件事不是缺少时间，而是缺少努力。 7. Perhaps happiness does not arrange the position,but succeeds mustarrange the position. 幸福或许不排名次，而成功必排名次。 8. The study certainly is not the life complete.But,sincecontinually life part of-studies also is unable to conquer, what but also can make? 学习并不是人生的全部。但，既然连人生的一部分——学习也无法征服，还能做什么呢？ 9. Please enjoy the pain which is unable to avoid. 请享受无法回避的痛苦。 10. Only has compared to the others early,diligently diligently ,canfeel the successful taste. 只有比别人更早、更勤奋的努力，才能尝到成功的滋味。 11. Nobody can casually succeed,it comes from the thorough self-control and the will. 没有人能随随便便成功，他来自彻底的自我管理和意志。 12. The time is passing. 时间在流逝.... 13. Now drips the saliva,will become tomorrow the tear. 现在淌的哈喇子，将成为明天的眼泪。 14. The dog equally study,the gentleman equally plays. 狗一样的学。绅士一样的玩。 15. Today does not walk,will have to ran tomorrow. 今天不走，明天就不得不跑。 16. The investment future person willl be,will be loyal to the realityperson. 投资未来的人是忠于现实的人。 17. The education level represents the income. 教育程度代表收入。 18. One day, has not been able again to come. 一天过完，不会再来。 19. Even if the present,the match does not stop changes the page. 即便是现在，对手也没有停止翻书本。 20. Has not been difficult, then does not have attains. 没有艰辛，便没有收获。
2011年度诺贝尔生理学或医学奖授予Bruce A. Beutler, Jules A. Hoffmann an和Ralph M. Steinman. Bruce A. Beutle(布鲁斯·比尤特勒)r和Jules A. Hoffmann(朱尔斯-霍夫曼)因为“他们在先天免疫活化方面的发现”而获此殊荣；另一半奖金给了Ralph M. Steinman(拉尔夫·斯坦曼)，因为他发现了树突状细胞在过激免疫中的作用。 “今年的诺贝尔医学奖获得者发现了免疫活化的关键原理，这彻底改变了我们对于免疫系统的理解。”诺贝尔官方称。 布鲁斯·比尤特勒1957年出生于美国芝加哥，是美国免疫学家和遗传学者。他目前是加州拉霍亚斯克利普斯研究所遗传学学系主任。 朱尔斯-霍夫曼1941年生于卢森堡埃希特纳赫，1969年在法国斯特拉斯堡大学获得生物学博士学位，从1993年-2005年期间，他出任斯特拉斯堡的法国科学研究中心下属分子和细胞生物学学院负责人。他还在多个法国和国际科学委员会中任职。 拉尔夫·斯坦曼生于1943年，是一位来自洛克菲勒大学的免疫学家和细胞生物学家，他在1973年提出了树突状细胞的概念，其时他在赞威尔-A-科恩的实验室做博士后。他因对树突状细胞的研究获得一系列奖项，他还是美国医学会和美国国家科学院会员。
纽约时报的报道： http://www.nytimes.com/2011/07/25/world/asia/25train.html?_r=1ref=asia 最后一段话： Fears that transparency and safety have become secondary to other concerns was present in many Weibo postings on Sunday. One blogger in particular posted an eloquent appeal for more care and caution in China’s rapid development: “China, please stop your flying pace, wait for your people, wait for your soul, wait for your morality, wait for your conscience! Don’t let the train run out off track, don’t let the bridges collapse, don’t let the roads become traps, don’t let houses become ruins. Walk slowly, allowing every life to have freedom and dignity. No one should be left behind by our era.”
(1994) Infinite Languages, Finite Minds: Connectionism, Learning and Linguistic Structure. PhD thesis, University of Edinburgh, Scotland. Abstract This thesis presents a connectionist theory of how infinite languages may fit within nite minds. Arguments are presented against the distinction between linguistic competence and observable language performance. It is suggested that certain kinds of finite state automata--i.e., recurrent neural networks|are likely to have sufficient computational power, and the necessary generalization capability, to serve as models for the processing and acquisition of linguistic structure. These arguments are further corroborated by a number of computer simulations, demonstrating that recurrent connectionist models are able to learn complex recursive regularities and have powerful generalization abilities. Importantly, the performance evinced by the networks are comparable with observed human behavior on similar aspects of language. Moreover, an evolutionary account is provided, advocating a learning and processing based explanation of the origin and subsequent phylogenetic development of language. This view construes language as a nonobligate symbiant, arguing that language has evolved to fit human learning and processing mechanisms, rather than vice versa. As such, this perspective promises to explain linguistic universals in functional terms, and motivates an account of language acquisition which incorporates innate, but not language-specific constraints on the learning process. The purported poverty of the stimulus is re-appraised in this light, and it is concluded that linguistic structure may be learnable by bottom-up statistical learning models, such as, connectionist neural networks. BibTex http://www.isrl.illinois.edu/~amag/langev/paper/christiansen94phd.html http://www.isrl.illinois.edu/~amag/langev/index.html Language Evolution and Computation Bibliography Introduction Additions Corrections License !-- Technology -- Acknowledgements 1709 references !-- For author query, it is suggested to use the last name. -- Author Title Any 30 50 All Sorted by Year Author Citation Author By last name | By number of publication Year 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 ... Type Journal Book BookChapter Conference MS Thesis PhD Thesis Tech Report !-- Category Keyword language evolution evolution language communication evolutionary linguistics language acquisition cultural evolution syntax language games self-organization language change linguistics cultural transmission semantics agents ... -- Citation Cross-year 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 ... !-- Complete collection: BibTex format (1180K) | APA Reference format (1095K) -- OTHER RESOURCES conference newsreport overview researchgroup software video !--- External links Newsletter People -- !-- Maintained by Jun Wang . -- Maintained by Jun Wang. :: email: junwang4 you-know-at gmail.com :: Last update: 6/11/11
Knowledge Translation Models Knowledge Translation Models CIHR Model of Knowledge Translation Other Models and Frameworks Applicable to Knowledge Translation Interaction-Focused Frameworks Understanding-User-Context Framework Context-Focused Models and Frameworks The Ottawa Model of Research Use The Knowledge-to-Action Process Framework The Promoting Action on Research Implementation in Health Services Framework The Coordinated Implementation Model Individual-Focused Models The Stetler Model of Research Utilization Table of Contents Knowledge Translation: Introduction to Models, Strategies, and Measures CIHR Model of Knowledge Translation CIHR (2005) proposed a global KT model, based on a research cycle, that could be used as a conceptual guide for the overall KT process. CIHR identified six opportunities within the research cycle at which the interactions, communications, and partnerships that will help facilitate KT could occur. Those opportunities are the following: KT1: Defining research questions and methodologies KT2: Conducting research (as in the case of participatory research) KT3: Publishing research findings in plain language and accessible formats KT4: Placing research findings in the context of other knowledge and sociocultural norms KT5: Making decisions and taking action informed by research findings KT6: Influencing subsequent rounds of research based on the impacts of knowledge use Figure 1 shows a graphical model in which the six opportunities listed here were superimposed on CIHR's depiction of the knowledge cycle. D Figure 1. CIHR research cycle superimposed by the six opportunities to facilitate KT (Source: Canadian Institutes of Health Research Knowledge Translation within the Research Cycle Chart. Ottawa: Canadian Institutes of Health Research, 2007. Reproduced with the permission of the Minister of Public Works and Government Services Canada, 2007). Other Models and Frameworks Applicable to Knowledge Translation The CIHR's KT model offers a global picture of the overall KT process as integrated within the research knowledge production and application cycle. However, the use of other models and/or frameworks with more working details may be necessary to implement each part of the CIHR conceptual model successfully. Such details could be used to augment an understanding of the specific components, chronological stages, and contextual factors that must be taken into consideration to facilitate successful communications, interactions, partnerships, and desired outcomes during each of the KT opportunities. Selected comprehensive models that could be used to augment the CIHR's KT model are described in this section. An effective KT framework requires not only the environmental organizational view, but also the microperspective of an individual (Davis, 2005). Therefore, models and frameworks that represent an individual user's perspective, as well as those that address contextual factors, are included. Interaction-Focused Framework Understanding-User-Context Framework: This framework for knowledge translation (Jacobson et al., 2003) was derived from a review of literature and the authors' experience. It provides practical guidelines that can be used by researchers and others to engage in the knowledge translation process by increasing their familiarity with and understanding of the intended user groups. Specifically, this framework can be used as a guide for establishing interactions required by the KT process illustrated in the CIHR's model. The framework contains five domains that should be taken into consideration when establishing interactions with users: The user group The issue The research The researcher–user relationship The dissemination strategies Each domain includes a series of questions. The purpose of these questions is to provide a way to organize what the researcher already knows about the user group and knowledge translation, identify what is still unknown, and flag what is important to know. The following paragraphs and lists describe the foci and sample questions for each domain. The user group domain focuses on understanding several aspects of the user group, such as the group's operational context, morphology, decision-making practices, access to information sources, attitudes towards research and researchers, and experiences with knowledge translation. Sample questions for the user group domain are as follows: In what formal or informal structures is the user group embedded? What is the political climate surrounding the user group? What kinds of decisions does the user group make? What criteria does the user group use to make decisions? The issue domain focuses on the characteristics and context of the issue intended to be resolved through the knowledge translation effort. Sample questions for the issue domain are as follows: How does the user group currently deal with this issue? For which other groups is the issue salient? How much conflict surrounds the issue? Is it necessary to possess a particular expertise to understand this issue? The research domain focuses on the research characteristics, the user group's orientations toward research, and the relevance, congruence, and compatibility of the research (at hand) to the user group. Sample questions for the research domain are as follows: What research is available? What is the quality of the research? How relevant is the research to the user group? Does the research have implications that are incompatible with existing user-group expectations or priorities? The research–user relationship domain focuses on the description of relationships between the researcher and the user group. Sample questions for the research–user relationship domain are as follows: How much trust and rapport exist between the researcher and the user group? Do the researcher and the user group have a history of working together? Will the researcher be interacting with the designated representative of the user group? Will that representative remain the same throughout the life of the project? How frequently will the researcher have contact with the user group? The dissemination strategies domain focuses on practical strategies for disseminating the research knowledge. Sample questions for the dissemination strategies domain are as follows: What is the most appropriate mode of interaction: written or oral, formal or informal? What level of detail will the user group want to see? How much information can the user group assimilate per interaction? Should the researcher pretest or invite feedback on the selected format from representatives of the user group before finalizing presentation plans? As suggested by Jacobson et al. (2003), these questions may help raise awareness of the type of information about the user group that may be useful for the knowledge translation process. The scope in obtaining this information will depend on each knowledge translation circumstance. This framework offers a comprehensive approach to guide the interaction of knowledge creators and knowledge users. However, the focus of these interactions was on the implementation of existing knowledge (K4 and K5 in the CIHR's KT model). Additional frameworks that illuminate the mechanisms, considerations, and influencing factors of the interaction between the knowledge creators and the knowledge users through all steps in the process of knowledge translation are certainly needed. Context-Focused Models and Frameworks These selected models and frameworks can be used to understand the contextual factors that could play important roles in the success or failure of the knowledge translation effort and should be taken into consideration in all stages of the KT process. The Ottawa Model of Research Use: The Ottawa Model of Research Use (OMRU) is an interactive model developed by Logan and Graham (1998). The feasibility and effectiveness of using the OMRU in actual practice contexts was supported by findings from a number of studies (Hogan Logan, 2004; Logan, Harrison, Graham, Dunn, Bissonnette, 1999; Stacey, Pomey, O'Conner, Graham, 2006). The OMRU views research use as a dynamic process of interconnected decisions and actions by different individuals relating to each of the model elements (Logan Graham, 1998). This model addresses the implementation of existing research knowledge (KT4 and KT5 in the CIHR's KT model). The model has gone through some revisions since its inception. The most recent version of the OMRU (Graham Logan, 2004) includes six key elements: Evidence-based innovation Potential adopters The practice environment Implementation of interventions Adoption of the innovation Outcomes resulting from implementation of the innovation The relationships among the six elements are illustrated in Figure 2. D Large image of Figure 2 Figure 2. The Ottawa Model of Research Use (Reprinted with permission from Canadian Journal of Nursing Research, Vol. 36, Graham, I. D. Logan, J., Innovations in knowledge transfer and continuity of care, pp. 89–103, copyright 2004) According to Graham and Logan (2004), the OMRU relies on the process of assessing, monitoring, and evaluating each element before, during, and after the decision to implement an innovation. Barrier assessments must be conducted on the innovation, the potential adopters, and the practice environment to identify factors that could hinder or support the uptake of the innovation. The implementation plan is then selected and tailored to overcome the barriers and enhance the supports identified. Introduction of the implementation plan is monitored to ensure that the potential adopters learn about the innovation and what is expected of them. The monitoring is ongoing to help determine whether any change in the current implementation or a new implementation plan is required. Finally, the implementation outcomes are evaluated to determine whether the innovation is producing the intended effect or any unintended consequences. The Knowledge-to-Action Process Framework: Graham et al. (2006) proposed the knowledge-to-action (KTA) process conceptual framework that could be useful for facilitating the use of research knowledge by several stakeholders, such as practitioners, policymakers, patients, and the public. The KTA process has two components: (1) knowledge creation and (2) action. Each component contains several phases. The authors conceptualized the KTA process to be complex and dynamic, with no definite boundaries between the two components and among their phases. The phases of the action component may occur sequentially or simultaneously, and the knowledge-creation-component phases may also influence the action phases. In the KTA process, knowledge is mainly conceptualized as empirically derived (research-based) knowledge; however, it encompasses other forms of knowing, such as experiential knowledge. The KTA framework also emphasizes the collaboration between the knowledge producers and knowledge users throughout the KTA process. The visual presentation of the KTA process is shown in Figure 3. D Large image of Figure 3 Figure 3 . The Knowledge-to-Action Process (Reprinted from the Journal of Continuing Education in the Health Professions, Vol. 26, No. 1, Graham, I. D. et al., Lost in knowledge translation: Time for a map, pp. 13–24, copyright 2006, with permission from John Wiley Sons, Inc.) Knowledge creation consists of three phases: (1) knowledge inquiry, (2) knowledge synthesis, and (3) knowledge tools/products. Knowledge creation was conceptualized as an inverted funnel, with a vast number of knowledge pieces present in the knowledge inquiry process in the beginning. Those pieces are then reduced in number through knowledge syntheses and, finally, to an even a smaller number of tools or products to facilitate implementation of the knowledge. The authors stated that as knowledge moves through the funnel, it becomes more distilled and refined, and presumably becomes more useful to the stakeholders. The needs of potential knowledge users can be incorporated into each phase of knowledge creation, such as tailoring the research questions to address the problems identified by the users, customizing the message for different intended users, and customizing the method of dissemination to better reach them. The action cycle represents the activities needed for knowledge application. Graham et al. (2006) conceptualized the action cycle as a dynamic process in which all phases in the cycle can influence one another and can also be influenced by the knowledge creation process. The action cycle often starts with an individual or group identifying the problem or issue, as well as the knowledge relevant to solving it. Included in this phase is the appraisal of the knowledge itself in terms of its validity and usefulness for the problem or issue at hand. The knowledge then is adapted to fit the local context. The next step is to assess the barriers and facilitators related to the knowledge to be adopted, the potential adopters, and the context or setting in which the knowledge is to be used. This information is then used to develop and execute the plan and strategies to facilitate and promote awareness and implementation of the knowledge. Once the plan is developed and executed, the next stage is to monitor knowledge use or application according to types of knowledge use identified (conceptual use, involving changes in levels of knowledge, understanding, or attitudes; instrumental use, involving changes in behavior or practice; or strategic use, involving the manipulation of knowledge to attain specific power or profit goals). This step is necessary to determine the effectiveness of the strategies and plan so they can be adjusted or modified accordingly. During the KTA process, it is also necessary to evaluate the impact of using the knowledge to determine if such use has made a difference on desired outcomes for patients, practitioners, or the system. A plan also needs to be in place to sustain the use of the knowledge in changing environments as time passes. As stated by Graham and colleagues (2006), the relationships between the action phases within the cycle are not unidirectional. Rather, each action phase can be influenced by the phase that precedes it and vice versa. For example, knowledge not being adopted and used as intended could indicate the need to review the plans and strategies again to improve the uptake of knowledge. The phases in the action process of the KTA are those also presented in the OMRU, as delineated in the previous section. The KTA process framework presents a more comprehensive picture of KT than the OMRU because it incorporates the knowledge creation process. The framework also incorporates the need to adapt the knowledge to fit with the local context (which has also been indicated in the CIHR's KT model) and the need to sustain knowledge use by anticipating changes and adapting accordingly. However, the KTA process framework does not provide additional details in the knowledge action process aside from what has already been outlined by the OMRU. Nevertheless, it is a comprehensive framework that begins to incorporate the full cycle of knowledge translation from knowledge creation through implementation and impact. The Promoting Action on Research Implementation in Health Services Framework: The Promoting Action on Research Implementation in Health Services (PARIHS) (Kitson, Harvey, McCormack, 1998; Rycroft-Malone, 2004; Rycroft-Malone et al., 2002) is a conceptual model describing the implementation of research in practice. According to the model, a successful implementation of research into practice is a function of the interplay of three core elements: (1) the level and nature of the evidence to be used, (2) the context or environment in which the research is to be placed, and (3) the method by which the research implementation process is to be facilitated. These three elements have equal importance in determining the success of the research use. Each of the elements is positioned on a low-to-high continuum, and the model predicts that the most successful implementation occurs when all elements are on the high end of the continuum. Evidence is defined as a combination of research, clinical experience, patient experience, and local data or information. For each type of evidence, there is a range of conditions from "low evidence" to "high evidence." An example of high evidence would be that the research is valued as evidence, well conceived, and well conducted; the clinical experience is seen as a part of the decision; the patient experience is relevant; and the local data or information is evaluated and reflected on. Context refers to the environment or setting in which people receive health-care services or the environment or setting in which the proposed change is to be implemented. Context can include physical environment in which the practice occurs; characteristics that are conducive to research utilization, such as operational boundaries, decision-making processes, patterns of power and authority, and resources; organizational culture; and evaluation for the purpose of monitoring and feedback. The PARIHS specifies three key themes under context as (1) culture, (2) leadership, and (3) evaluation. The low-to-high continuum was specified for each theme. A low context would be predictive of unsuccessful research utilization, and a high context would be predictive of successful utilization. An example of a high context would be a culture that values individual staff and clients, the leadership within effective teamwork, and the use of multiple methods of evaluation. Facilitation is defined as a technique by which one person makes things easier for others. The framework authors believe that facilitators have a key role in helping individuals and teams understand what and how they need to change to apply evidence to practice. The role of a facilitator is an appointed one (rather than one arising from personal influence) that could be internal or external to the organization. The function of this role is about helping and enabling, as opposed to telling or persuading. It can encompass a broad spectrum of purposes, ranging from helping achieve a specific task to helping individuals and groups better understand themselves in terms of attributes that are important to achieve those tasks, such as attitudes, habits, skills, ways of thinking, and ways of working. According to the framework, there are three themes of facilitation: (1) purpose, (2) roles, and (3) skills and attributes. Same as the previous elements, each theme has dimensions of low and high. In PARIHS, high facilitation relates to the presence of appropriate facilitation depending on the needs of the situation. The PARIHS framework is unique in that it identifies facilitation as one of the main elements in the research utilization process and provides much detail in determining the potential of success based on the prediction structure of the model. However, similar to most models reviewed so far, the emphasis is on the implementation component within the knowledge translation process. PARIHS does not discuss elements or factors related to the knowledge creation process, although creation is also an important part of knowledge translation. Although the PARIHS model is highly complex and likely to be comprehensive in explaining factors and elements related to the use of research and practice, more demonstration of how the model could be applied in an actual practice environment is needed. The most updated version (Rycroft-Malone, 2004) is substantially more complex than the original (Kitson et al., 1998). All elements were revised based on concept analysis of each element (evidence, context, facilitation) through extracting various dimensions of the elements from extensive literature to form a comprehensive definition and scope. Although doing so has undoubtedly increased the level of complexity of the model, it is not certain how that would affect the actual use of the model as a general framework to guide research utilization in everyday practice settings. The Coordinated Implementation Model: Lomas (1993) proposed a model of research implementation that outlines the overall practice environment to capture schematically the competing factors of influence to the implementation process. According to the author, this model demonstrates some of the additional and largely unexploited routes through which research information could influence clinical practice. The factors of influence to the implementation process were illustrated in the model diagram in Figure 4. D Large image of Figure 4 Figure 4 . The Coordinated Implementation Model (Reprinted from The Milbank Quarterly, Vol. 71, Lomas, J., Retailing research: Increasing the role of evidence in clinical services for childbirth, pg. 439–475, copyright 1993, with permission from Blackwell Publishing) As discussed by Lomas (1993), the approaches used to transfer research knowledge into practice must take into account the views, activities, and available implementation instruments of at least four potential groups. Those include community interest groups, administrators, public policymakers, and clinical policymakers. Although the influences on the use of research from these groups (public pressure, regulation, economic incentives, education, and social influence) are exerted through different venues, they form a system in which, when they work together, the sum of their effects is greater than their parts. This model holds that patients, either as individuals or groups, can also strongly influence practitioners' decisions. This model helps increase awareness of factors that should be taken into consideration in the implementation effort within the knowledge translation process. Having similar models that outline the contextual factors that could influence the knowledge translation process in other steps would also be extremely helpful and add more to the understanding of the process. Individual-Focused Models The Stetler Model of Research Utilization: The Stetler Model of Research Utilization is the practitioner-oriented model, expected to be used by individual practitioners as a procedural and conceptual guide for the application of research in practice. The model was first developed as the Stetler/Marram Model of Research Utilization (Stetler Marram, 1976) and later revised and renamed the Stetler Model of Research Utilization (Stetler, 1994, 2001). The latest version of this model consists of two parts. The first part is the graphic model containing five phases of research utilization. The second part contains clarifying information and options for each phase. The graphic model is illustrated in Figure 5. D Large image of Figure 5 Figure 5 . The Stetler Model of Research Utilization (Reprinted from Nursing Outlook, Vol. 49, Stetler, C. B., Updating the Stetler model of research utilization to facilitate evidence-based practice, pg. 272–279, copyright 2001, with permission from Elsevier) The Stetler model was developed as a prescriptive approach designed to facilitate safe and effective use of research findings (Stetler, 2001). The model is based on six basic assumptions: The formal organization may or may not be involved in an individual's utilization of research. Utilization may be instrumental, conceptual, and/or symbolic. Other types of evidence and/or non-research-related information are likely to be combined with research findings to facilitate decision making or problem solving. Internal and external factors can influence an individual's or group's view and use of evidence. Research and evaluation provide us with probabilistic information, not absolutes. Lack of knowledge and skills pertaining to research utilization and evidence-based practice can inhibit appropriate and effective use. The updated model directs users to be conscious of the types of research evidence and suggests that users seek already published systematic reviews whenever possible instead of using primary studies. The following paragraphs provide descriptions of activities within each of the five phases in the graphic model shown in Figure 5 (Stetler, 1994, 2001). Phase I focuses on the purpose, context, and sources of research evidence. The practitioner identifies potential issues or problems and verifies their priority; decides whether to involve others; considers other influential internal and external factors, such as beliefs, resources, or time lines; seeks evidence in the form of systematic reviews; and selects research sources with conceptual fit. Phase II focuses on the validation of findings and includes activities such as critiquing a systematic review, rating the quality of each evidence source, and determining the clinical significance of the evidence. The evaluation is utilization-focused, and the decision is made whether to accept or reject the evidence (rather than using the traditional critique to determine simply whether the evidence is weak or strong). If there is no evidence or the evidence is insufficient, the process will be terminated when the evidence is rejected. Otherwise, the evidence is accepted and the practitioner progresses to Phase III. Phase III focuses on the four criteria used together as a gestalt to determine whether it is desirable to use the validated evidence in the practice setting. Substantiating evidence is meant to recognize the potential value of both research and additional non-research-based information as a supplement. Fit of setting refers to how similar the characteristics of the sample and study environment are to the population and setting of the practitioner. Feasibility entails the evaluation of r isk factors, need for r esources, and r eadiness of others involved ("r, r, r," as stated in the graphic model shown in Figure 5). Current practice entails a comparison between the current practice and the new practice (that may be introduced) to determine whether it will be worthwhile to change the practice. A decision is then made whether to "use," "consider use," or "not use" the evidence considered. Phase IV focuses on the evidence implementation process, beginning with the confirmation of type of use (conceptual, instrumental, symbolic), method of use (informal/formal, direct/indirect), and level of use (individual, group, organization). Next, the operational details are specified as to who should do what, when, and how. In this phase, a decision is made regarding whether to use or to consider the use of the evidence. Phase V focuses on the evaluation of the use, with two separate processes to evaluate the case of "use" and the case of "consider use" as decided in Phase IV. The evaluation of the "consider use" option requires pilot testing to enable further evaluation of the feasibility of the change in practice. Pilot data are then used to decide whether the evidence will be formally used. In the case of a "use" decision, the implementation process will be formally evaluated. This model was originally developed for use with nurses. However, the same principles could conceivably apply readily to other practitioners, including in those in rehabilitation. The Stetler model is highly comprehensive and provides procedures to help guide practitioners through all steps in the research use process while taking into consideration the practical (utilization-focused) aspects of clinical decisions. Effectiveness of Knowledge Translation Strategies Effectiveness of Knowledge Translation Strategies Overall Effectiveness of Implementation Strategies Effectiveness of Specific Implementation Strategies Audit and Feedback Tailored Interventions Organizational Structures Interactive Strategies Evidence in Rehabilitation Table of Contents Knowledge Translation: Introduction to Models, Strategies, and Measures Many strategies related to knowledge translation were reported in the literature. The majority of these strategies focused on the dissemination and implementation of existing knowledge. Only a few studies reported strategies involving knowledge creation. Those studies, however, mainly described the strategies that were used and their successes, but not the measurable outcomes of such strategies. The evidence on the effectiveness of knowledge dissemination and implementation strategies came largely from studies on physicians, with a much smaller portion coming from other allied health professions, such as nursing, physician assistants, and other staff. In addition, the knowledge targeted for implementation in these studies was not all research-based. However, much can be learned about what might influence changes in providers' practice behavior. Ultimately, the translation of research knowledge into practice implies a need for change in providers' behavior to enable adoption and use of the new research-based knowledge. Overall Effectiveness of Implementation Strategies A considerable number of studies are available in the area of implementation strategies' effectiveness, and several systematic reviews of those studies have been conducted. Also available are the overviews of systematic reviews. Bero et al. (1998) conducted an overview of 18 systematic reviews, published between 1989 and 1995, to investigate the effectiveness of dissemination and implementation strategies of research findings. The systematic reviews were obtained from searches in MEDLINE records from 1966 to June 1995 (the Cochrane Library was also searched, but no relevant reviews were located). To be included, the reviews had to focus on interventions to improve professional performance, report explicit selection criteria, and measure changes in performance or outcome. The researchers found the following consistent themes from their review: Most of the reviews reported modest improvements in performance after interventions. Passive dissemination of information was generally ineffective in altering practices, no matter how important the issue or how valid the assessment methods. Multifaceted interventions, a combination of methods including two or more interventions, seemed to be more effective than single interventions. Bero et al. (1998) also categorized three tiers of specific interventions based on their level of effectiveness in promoting behavioral change among health professionals: (1) consistently effective interventions, (2) interventions of variable effectiveness, (3) and interventions that have little or no effect. These levels of effectiveness are elaborated below: Consistently effective interventions included educational outreach visits for prescribing in North America; manual or computerized reminders; multifaceted interventions such as two or more approaches of audit and feedback, reminders, local census processing, or marketing; and interactive educational meetings. Interventions of variable effectiveness included audit and feedback, the use of local opinion leaders, local consensus processes, and patient-mediated interventions. Interventions that have little or no effect included educational materials and didactic educational meetings. The authors concluded that the use of specific strategies to implement research-based recommendations seems necessary to promote practice changes and that more intensive efforts are generally more successful. The authors also indicated a need to conduct studies to evaluate two or more interventions in a specific setting to clarify the circumstances likely to modify the effectiveness of such interventions. In an updated version of the Bero et al. overview (1998), Grimshaw et al. (2001) conducted an overview of 41 systematic reviews published between 1989 and 1998 to examine the effectiveness of intervention strategies in changing providers' behavior to improve quality of care. Similar inclusion criteria were used, although the searches for systematic reviews were expanded to include the Health Star database and feedback from the Cochrane Effective Practice and Organization of Care group's Listserv of potentially relevant published reviews that might have been omitted. The systematic reviews included in this overview were found to be widely dispersed across 27 different medical journals and covered a wide range of interventions. Similar to the findings from the original overview (Bero et al., 1998), Grimshaw et al. (2001) found that, in general, passive approaches are ineffective and unlikely to result in behavior change (although they could be useful in raising awareness). Also, as previously reported, multifaceted interventions that targeted several barriers to change are more likely to be effective than single interventions. Specifically, the interventions of variable effectiveness included audit and feedback and use of local opinion leaders, whereas the interventions that were generally effective included educational outreach and reminders. However, most of the interventions were effective under some circumstances, and none were effective under all circumstances. The researchers noted considerable overlap across the reviews in terms of original studies included, and they found that one reason for such overlap could be the lack of agreement within the research community on the theoretical or empirical framework for classifying interventions aimed at facilitating professional behavior change. In addition, although the findings indicated that multifaceted interventions are more likely to be successful, it is difficult to disentangle which components of such interventions led to success. Therefore, Grimshaw et al. (2001) suggested that more research is needed to facilitate a further understanding about the components contributing to the effectiveness of the multifaceted interventions. Grol (2001) reported on experiences with more than 10 years of development and dissemination of clinical guidelines for family medicine in the Netherlands, arguably one of the most comprehensive programs for evidence-based guidelines development and implementation in the world. A stepwise approach was used for guidelines development and dissemination. First, a relevant topic was selected by an independent advisory board of practitioners. Second, researchers and practitioners worked together to develop guidelines that were later tested for feasibility and acceptability through a written survey and external reviewers who were specialized on the topic, and the guidelines were then revised. Next, the guidelines were presented to an independent scientific board for official approval. After approval, the final version of the guidelines was published in a scientific journal for family physicians. In addition to the formal publication, the dissemination activities included developing special educational programs and packages for each set of the guidelines and sending them to regional and local coordinators for continuing medical education and quality improvement. Support materials, such as summaries of the guidelines for receptionists, leaflets, letters for patients, and consensus agreements with specialists' societies, were also developed and disseminated. Several aspects of these experiences were empirically investigated, including knowledge and acceptance of the guidelines, the use of the guidelines, barriers to their implementation, and intervention effects. Grol (2001) concluded that the development of clinical guidelines is feasible and accepted by the target group when such development is owned and operated by the profession itself. Second, a comprehensive strategy to disseminate the guidelines through various channels appears to be very important. Third, a program to implement a guideline should be well designed, well prepared, and preferably pilot-tested for use. Grimshaw et al. (2004) conducted a comprehensive systematic review of 235 original studies to evaluate the effectiveness and efficiency of guideline dissemination and implementation strategies. Literature searches were conducted in MEDLINE (1966–1998), Health Star (1975–1988), Cochrane Controlled Trial Register (4th ed., 1998), EMBASE (1980–1998), SIGLE (1980–1988), and the specialized register of the Cochrane Effective Practice and Organization of Care group. The studies included in this review employed randomized controlled trials, controlled clinical trials, controlled before-and-after studies, and interrupted time series methodologies. They also included medically qualified health-care professionals, used guideline dissemination and implementation strategies, and used objective measures of provider behavior and/or patient outcome. The researchers found that the majority of interventions produced modest to moderate improvements in care, with a considerable variation both within and across interventions. Commonly evaluated single interventions were reminders, dissemination of educational materials, and audit and feedback. For multifaceted interventions, no relationship was found between the number of components in the interventions and the effects of such interventions. Fewer than one third of the 309 comparisons within the included studies reported economic data. Grimshaw et al. (2004) concluded that there is an imperfect evidence base to support decisions about which guideline dissemination and implementation strategies are likely to be efficient under different circumstances. In addition, there is also a need to develop and validate a coherent theoretical framework of health-professional behaviors, organizational behaviors, and behavior change to better inform appropriate choices for dissemination and implementation strategies and to better estimate the efficiency of such strategies. Effectiveness of Specific Implementation Strategies Audit and Feedback To further investigate the features or contextual factors that determine the effectiveness of audit and feedback, Jamtvedt, Young, Kristoffersen, O'Brien, and Oxman (2006) conducted a systematic review to investigate the effects of audit and feedback on both professional practice and health outcomes using 118 randomized controlled trials (RCTs) published between 1977 and 2004. The original studies were located through the Cochrane Effective Practice and Organization of Care register for 2004, MEDLINE from January 1966 to April 2000, and the Research and Development Resource Base in Continuing Medical Education. The RCTs in this review included participants who were health-care professionals responsible for patient care; used audit and feedback as one of the interventions; and objectively measured provider performance in a health-care setting or measured health outcomes. Audit and feedback was defined as any summary of clinical performance of health care over a specified period of time, with information given in a written, electronic, or verbal format. The findings showed that the effects of audit and feedback on compliance with the desired practice varied from negative effect to a very large positive effect, and the differences in effects were not found to relate to study quality. Some possible explanations offered by the authors for the differences included the level of baseline compliance of the targeted behavior, the intensity of audit and feedback, and the level of motivation of health professionals to change the targeted behavior (not assessed due to lack of sufficient data from original studies). The authors concluded that audit and feedback could be effective in improving professional practice, although the degree of effectiveness is likely to be greater in cases where the baseline adherence to recommended practice is low and the delivery intensity of audit and feedback is high. However, the results do not support mandatory use of audit and feedback as an intervention to change practice. Recently, Hysong, Best, and Pugh (2006) used a purposeful sample of six Veterans Affairs Medical Centers to further investigate the impact of feedback's characteristics on its effectiveness, comparing facilities with high adherence to six clinical practice guidelines to those with low adherence. Data were obtained through individual and group interviews of all levels of staff at each facility, including facility leadership, middle management and support management, and outpatient clinic personnel. The researchers found four discernible characteristics that distinguished the high- and low-performing facilities: (1) the timeliness with which the providers received feedback, (2) the degree to which providers received feedback individually, (3) the punitive or nonpunitive nature of the feedback, and (4) the customization of feedback in ways that made it meaningful to individual providers. Based on these findings, the authors proposed a model of actionable feedback in which feedback should be provided in a timely fashion; feedback should be about the clinician's individual performance rather than aggregated performance at a clinic or facility level; feedback should be nonpunitive; and the individual should be engaged as an active participant in the process rather than be merely a passive recipient of information. Tailored Interventions Shaw et al. (2005) conducted a systematic review of 15 randomized controlled trials, published between 1983 and 2002, to assess the effectiveness of planning and delivery interventions tailored to address specific and prospectively identified barriers to changing professional practice and health outcomes. The pool of studies was retrieved from the Cochrane Collaboration Effective Practice and Organization of Care group's specialized register and pending files until the end of December 2002. Studies in this review were RCTs that included participants who were health-care professionals responsible for patient care; included at least one group that received an intervention tailored to address explicitly and prospectively identified barriers to change; either involved a comparison group that did not receive a tailored intervention or compared a tailored intervention addressing individual barriers with an intervention addressing both individual and social- or organizational-level barriers; and included objectively measured professional performance (excluding self-report). A tailored intervention was defined as an intervention chosen to overcome barriers identified before the design and delivery of the intervention. A meta-analysis method was used to synthesize subsets of the studies when possible. The authors concluded that the effectiveness of tailored interventions is not conclusive and more rigorous trials are needed before the effectiveness of such an approach can be established. In addition, because of the small number of studies limited to a small number of organizational settings, the authors stated that it was not possible to determine whether interventions targeting both individual and organizational barriers are more effective than those targeting only individual barriers. Based on the review, the authors concluded that decisions about whether the tailored intervention approach is likely to be effective for specific problems should be made based on the knowledge of the problem in each setting and other practical considerations. Organizational Structures Foxcroft and Cole (2000) conducted a systematic review to determine the extent to which change in organizational structures would promote the implementation of high-quality research evidence in nursing. Literature searches were performed in the following databases: the Cochrane library, MEDLINE, EMBASE, CINAHL, SIGLE, HEALTHLINE, the National Research Register, the Nuffield Database of Health Outcomes, and the NIH Database up to August 2002 (the review was updated in 2003). Hand searches were performed in the periodicals Journal of Advanced Nursing, Applied Nursing Research, and Journal of Nursing Administration (to 1999). Reference lists of the articles obtained were also checked. In addition, experts in the field and relevant Internet groups were contacted for any other potential studies. To be included in this review, each study had to employ randomized controlled trial, controlled clinical trial, or interrupted-time-series research designs; include health-care organizations (where nurses practiced) as participants and measure and report nursing practice outcomes separately; evaluate an entire or identified component of organizational infrastructure aimed at promoting effective nursing interventions; and use objective measures of evidence-based practice. Foxcroft and Cole (2000) found that no studies were sufficiently rigorous to be included in the formal systematic review, neither at that time nor when they updated the review in 2003. Therefore, they reported on seven studies that did not meet the design quality required but had evaluated organizational infrastructural interventions to establish the evidence baseline in this area. All of these studies were retrospective case reports. The researchers found that although positive results were reported, there was no offering of any substantive evidence to support the studies' conclusions. Therefore, no clear implication for practice can yet be drawn based on the findings of those studies. Interactive Strategies Vingillis et al. (2003) reported the use of knowledge translation strategies that integrated knowledge generation with knowledge diffusion and utilization. During the project's 3-year period, the researchers developed the initial research proposal in response to frustration expressed by local professionals. The researchers also built into the original research proposal a series of three colloquia of potential knowledge users, and they established an open-door policy so that interested parties could request meetings with the team. Vingillis et al. used a partnership culture model in which researchers and potential knowledge users develop a partnership of trust, respect, ownership, and common ground as the fundamental first step to successful knowledge dissemination and utilization. The strategies used by this group included viewing research as the means and not as the end, linking the university and research services to the community, using a participatory research approach, embracing transdisciplinary research and interactions, and using connectors to assist potential knowledge users in identifying knowledge needs and to assist researchers in translating knowledge to users. However, the effectiveness of these strategies in promoting knowledge translation was not reported. Evidence in Rehabilitation The evidence to support or dispute the effectiveness of knowledge translation strategies in rehabilitation is very limited and available in the form of original studies only (as opposed to systematic reviews or overviews seen in medicine). Thomas, Cullum, McColl, Rousseau, and Steen (1999), in their searches of primary studies to conduct a systematic review to evaluate the effectiveness of practice guidelines in professions allied to medicine, could not locate such studies in rehabilitation. At present, the studies of knowledge translation strategies' effectiveness in rehabilitation continues to be scarce. Wolfe, Stojcevic, Rudd, Warburton, and Beech (1997) investigated the uptake of stroke guidelines in a district of southern England using the 18-month audit process. The guidelines were developed through an interdisciplinary collaboration and included rehabilitation standards of services for physiotherapy, occupational therapy, and speech therapy. The guidelines were made available for participating hospitals, although no other specific strategies appeared to have been used to facilitate the adoption of the guidelines. The researchers found that, over the period of 18 months, only modest changes in practice occurred according to the guidelines, and the overall level of rehabilitation service remained low despite the significant increase in occupational therapy services within 72 hours of acute stroke episode. The researchers concluded that despite local development and feedback, adherence to guidelines was relatively poor, there was little improvement over time, and a considerable amount of unmet need continued to exist. Heinemann et al. (2003) evaluated the effectiveness of a lecture-based educational program about post-stroke rehabilitation guidelines. The knowledge and referral practice questionnaire was used to assess changes in knowledge and practice of physicians and allied health professionals who provided services in acute care settings. The findings indicated no significant increase in knowledge or referrals at 6 months following the educational program. The researchers concluded that simply providing information about the guidelines did not result in an increase in knowledge and referrals. Fritz, Delitto, and Erhard (2003) conducted a randomized clinical trial comparing the effectiveness of providing therapy based on a classification system matching patients to specific interventions with providing therapy based on the Agency for Health Research and Quality guidelines. At 4 weeks after treatment, the researchers found that the patients who received classification-based therapy showed greater improvement on the general health measure (SF-36) on the physical component score, greater satisfaction, and increased likelihood of returning to full-duty work status. At 1 year, however, there were no statistical differences between the groups in all outcomes. Pennington et al. (2005) evaluated the effectiveness of two training strategies to promote the use of research evidence in speech and language therapy management of post-stroke dysphagia. The first strategy was the training on critical appraisal of published research papers and practice guidelines, and the second strategy was the same training plus additional training on management of change in clinical practice. The researchers found that, overall, there was no significant change in the adherence to clinical practice guidelines within 6 months of intervention. No other outcomes were measured. Bekkering et al. (2005), using a cluster-randomized controlled trial, compared an active strategy for implementation of the Dutch guidelines for patients with low back pain with the standard passive method of dissemination of the same guidelines in 113 primary-care physical therapists who treated a total of 500 patients. The passive method group received the guidelines by mail, and the active method group received an additional active training strategy consisting of two sessions of education, group discussion, role-playing, feedback, and reminders. The outcomes were measured through self-reported patients' questionnaires on physical functioning, pain, sick leave, coping, and beliefs. The researchers found that physical functioning and pain in both groups improved substantially in the first 12 weeks but there were no significant differences between the two groups. At a follow-up at 12 months, there continued to be no difference between the two strategies. The researchers concluded that there was no additional benefit to applying active strategy to implement the physical therapy guidelines for patients with low back pain. Because of the limited evidence, no conclusion or even pattern can be drawn from these studies at this time. The knowledge translation inquiry in rehabilitation appears to be in the beginning stage, and further development in this area is clearly needed. Although some information is available from other health-care fields, such as medicine and nursing, it is not certain how applicable those findings would be for rehabilitation, because of the conceivable difference in practice focus, culture, methods, and contexts. Measures of Knowledge Use Measures of Knowledge Use Background Information Types of Knowledge Use Considerations in Measuring Knowledge Use Framework in Evaluating Knowledge Use Methodologies and Focus of Measuring Knowledge Use Examples of Approaches in Measuring Knowledge Use Table of Contents Knowledge Translation: Introduction to Models, Strategies, and Measures Background Information Backer (1993) defined knowledge utilization as " a variety of interventions aimed at increasing the use of knowledge to solve human problems" (p. 217). Backer envisioned that knowledge utilization embraces a number of subtopics such as technology transfer, information dissemination and utilization, research utilization, innovation diffusion, sociology of knowledge, organizational change, policy research, and interpersonal and mass communication. The use (application) of research knowledge is certainly the goal of knowledge translation. The expected outcome of such application/use would be a positive impact on the health and well-being of the intended beneficiaries (CIHR, 2004; NIDRR, 2005). The inquiry related to the use (or lack thereof) of research knowledge has been the subject of interest of the multidisciplinary communities since the late 1960s (Paisley Lunin, 1993). This interest has intensified in recent years, in parallel to increased recognition of the difficulties in moving research to be used in practice. Types of Knowledge Use There are three main types of use: (1) instrumental use, (2) conceptual use, and (3) symbolic use. As described by Beyer (1997), instrumental use involves applying research results in specific and direct ways; conceptual use involves using research results for general enlightenment; and symbolic use involves using research results to legitimatize and sustain predetermined positions. Instrumental use has been linked to the decision-making process, in which a direct, demonstrable instrumental use of research is meant to solve clearly predefined problems. Estabrooks (1999) referred to instrumental use as a concrete application of research, in which research is translated into material in usable forms, such as a protocol that is used to make specific decisions. Conceptual use, according to Estabrooks, occurs when the research may change one's thinking but not necessarily one's particular action. In this type of use, the research helps inform and enlighten the decision maker. Symbolic use, in Estabrooks' view, is the use of research as a political tool to legitimatize opposition or practice. The conceptual structure of research utilization was investigated empirically in a study with 600 registered nurses in western Canada (Estabrooks, 1999). Using Structural Equation Modeling for data analysis, Estabrooks demonstrated that the instrumental, conceptual, and symbolic research utilization influenced the overall research utilization, with more than 70% of the variance explained. The researcher also asserted that research utilization can be measured with relatively simple questions, as demonstrated by the questions used in this study, which measured each type of research utilization with only one question. Emerging evidence shows that each type of use should be considered separately, as they may be associated with different predicting factors. In a survey of 833 government officials, Amara, Ouimet, and Landry (2004) found that, in general, the three types of research use simultaneously played a significant role in government agencies and were commonly associated with the same set of factors. However, a small number of factors explained the increase of instrumental, conceptual, and symbolic utilization of research in different ways. Higher conceptual use was significantly associated with the qualitative research products and individuals with graduate studies. Higher instrumental use was significantly associated with research products that focused on advancement of scholarly knowledge and adaptation of research for the user's need. Finally, higher symbolic use was associated with the respondents from provincial government agencies (as opposed to those from the federal government agencies) and also the adaptation of research products to users' needs. Milner, Estabrooks, and Humphrey (2005), in their survey of nurses in Alberta, Canada, also found that different factors predicted different types of research use. Factors such as having a degree in nursing, attitude, awareness, and involvement in research significantly predicted the instrumental research utilization. Having a degree in nursing also predicted the conceptual research utilization, whereas attitude and awareness did not. Localite communication, on the other hand, significantly predicted the conceptual research utilization but not instrumental research utilization. For symbolic research utilization, attitude, awareness, and involvement in research significantly predicted research use. Mass media were also found to significantly predict symbolic research use, though not other types of use. Certainly, more studies in this area are needed to further understand the subject. These preliminary findings seem to indicate that it may be beneficial to take a precise, analytical approach when investigating knowledge use. To successfully facilitate the use of knowledge (as it is the focus of KT), it may be essential to predetermine specifically the type of use in which the knowledge user is likely to engage (or a specific use that would be the focus of that knowledge translation effort), consider specific factors that likely influence such use, derive appropriate knowledge translation strategies accordingly, and measure that specific type of use when evaluating the outcome. Considerations in Measuring Knowledge Use Early research assumed that utilization occurred when an entire set of recommendations was implemented in the form suggested by the researcher (Larsen, 1980). However, Larsen argued that knowledge can be modified, partially used, used in an alternative way, or justifiably not used at all. Complete adoption of knowledge is generally the exception and not the rule. As Larsen further stated, in some settings, knowledge may not be used if implemented in its original form but may work very well if changed to meet the user's circumstances. A recent example is an implementation study of Constraint-Induced Therapy (Sterr, Szameitat, Shen, Freivogel, 2006), in which the treatment protocol (as previously developed in research) was locally tested and adapted to fit the needs, preferences, and logistics of the users in a local setting. In addition, what constitutes an effective use is debatable. Often, the focus is on the use of research as it is intended. However, effective use can occur in ways that are not previously considered (SEDL, 2001). The time line in measuring use—whether it is retrospective or prospective—can also influence the results (Conner, 1981). Framework in Evaluating Knowledge Use Knowledge use is not a single discrete event occurring at one point in time. Rather, it is a process consisting of several events (Rich, 1991). Therefore, evaluating the use of knowledge can be complex and requires a multidimensional and systematic approach. Having a framework to guide the process when designing activities to evaluate the use of knowledge can be helpful. An example of a comprehensive framework that can be used to guide the evaluation of knowledge use is that developed by Conner (1980). Conner proposed a conceptual model for research utilization evaluation, with the emphasis on four general aspects that are important for the evaluator to consider: (1) goals, (2) inputs, (3) processes, and (4) outcomes. The model is represented by the visual scheme in Figure 6. D Large image of Figure 6 Figure 6. Conner's conceptual model for research-utilization evaluation (Source: Handbook of Criminal Justice Evaluation , Conner, R. F., The evaluation of research utilization, pp. 629–653, copyright 1980, reprinted with permission from Sage Publications) According to Conner (1980), the first step of evaluating research utilization is to set up goals one would like to achieve as a result of the research-utilization effort. Without goals, it will be impossible to evaluate the success of such effort. The goals for utilization should be set up at the beginning of the research program. However, goal setting is perceived as a dynamic process in which goal changes can occur during the course of the research as better insight emerges. One of the main reasons for setting goals, according to Conner, is to know who will be the primary and secondary targets of the utilization effort. Once the target groups have been identified, they should be consulted at the outset of the research program to make sure that the information will be realistic for use by them and to learn of the type of information that would provide convincing evidence for them to use. In this model, the primary inputs for a utilization effort are research findings. The research findings need to be evaluated in two aspects: quality and importance. Quality of the research findings relates to their sufficiently high validity and reliability, which could be verified by either consultation with other researchers or replication of the research in a similar setting. Determination of importance can also be obtained in several ways, such as the potential users' rating on the degree of importance; assessing socially significant implications; and assessing the clarity of recommendation for action—that is, whether it can be understood by the users. According to Conner (1980), other inputs should also be considered in addition to the research findings. The materials to be disseminated should be assessed for their appeal, clarity, and appropriateness for the target users. The people who will direct the utilization effort should be assessed for whether their skills and temperament would be suitable to conduct such an effort. As the model was later updated (Kirkhart Conner, 1983), a consideration for resources—whether there are sufficient resources pertaining to the quality of materials or personnel involved in the planned change process—was added to the input component. For the process component, Conner (1980) suggested that there is a need to monitor and document the course of dissemination and utilization efforts, particularly because the course could change from what was originally planned. Documenting the deviations from the plan will help in adjusting the evaluation to reflect the program that was actually implemented rather than one that was planned to be implemented. The monitoring includes documenting who received the information to be utilized; their opinions of the information and their judgment of subsequent use of such information (pattern); their reasons for use or nonuse of the information (rationale); and the organizational arrangement and personal state and situation of the potential users (state of utilizers). The attitudes and capability of individuals adopting the innovation were later added to the process component of the model (Kirkhart Conner, 1983). The central question of this evaluation process is whether the results of the research are utilized. Conner (1980) indicated that evaluation of outcomes must occur for the type, level, and timing of the utilization process. This information can be determined in part by analyzing who has used the information (level of utilization), how the information was used (type of utilization), and the various time frames of utilization activities (timing of utilization). Outcomes assessment could focus on one of the two target groups: the actual targets (people who have been the direct target of utilization efforts) and the potential targets (people who are most relevant for utilization of the findings although they may not be the direct targets of the utilization efforts). The focus on potential targets is intended to address the issue of self-selection bias that could perceivably occur should the assessment focus on the actual targets, who tend to be more involved. Conner (1980) concluded that evaluating research utilization has five benefits: Determines the effectiveness of the utilization efforts using a critical review process Increases recognition of the importance of dissemination-utilization process as a distinct activity rather than just being the last step in a research project Increases attention to utilization goals and objectives, which will help in the development of utilization efforts Provides more understanding of the process, including what may facilitate and/or hinder research utilization, which will aid in developing conceptual models of the utilization process that can be empirically tested Increases the amount of interaction between researchers and users through a neutral third party (presumably the people who conduct the utilization efforts) Methodologies and Focus of Measuring Knowledge Use Dunn (1983 ) conducted an 18-month project involving a review of existing literature to develop an inventory of concepts, procedures, and measures available for conducting empirical research on knowledge use. Dunn found that there were widely varied linguistic usages that made it difficult or impossible to compare, contrast, and evaluate essential variations in the concepts, methods, and measures in this area. However, three basic dimensions were found to underlie different concepts of knowledge use: (1) composition, a dimension that distinguishes between individual (for decision making) and collective (for enlightenment) uses of knowledge; (2) expected effects, a dimension that contrasts conceptual and instrumental use of knowledge; and (3) scope, a dimension that contrasts processes of use in terms of their generality (general use of knowledge) and specificity (e.g., use of specific recommendations of a program evaluation). As indicated by Dunn, the scope of use may also be viewed as a continuum ranging from general processes of being familiar with or aware of something to specific processes of being able to explain or perform some action. More than 60 procedures used to study knowledge utilization were identified through this review and were categorized into three main methods of inquiry: (1) naturalistic observation; (2) content analysis; and (3) questionnaires and interviews. Within the questionnaires and interviews, there were three categories of procedures: (1) relatively structured procedures; (2) semistructured procedures; and (3) relatively unstructured procedures. As reported by Dunn (1983), at least 30 different questionnaires and interviews or schedules were employed to study various aspects of knowledge use, and these were the most frequently used method of the studies included in this review. Naturalistic observation was rarely employed. Content analyses were employed with various kinds of documents, including research reports, case materials, and other records of experience. Recently, Hakkennes and Green (2006) conducted a structured review of 228 original studies published in peer-reviewed journals to identify the outcome measures used to determine effectiveness of strategies aimed at improving development, dissemination, and implementation of clinical practice guidelines. Three types of data were collected from the included studies: (1) the measures used to assess the effectiveness of the intervention; (2) the methods used for such assessment; and (3) the reliability and validity of those outcome measures when reported. Hakkennes and Green (2006) grouped the outcome measures into three main categories of measurement, at (1) patient level, (2) health practitioner level, and (3) organizational or process level. The outcome measures that focused on patient level were further categorized into those that measure the actual change in health status of the patient, such as mortality, quality of life, and actual symptom change, and those that use surrogate measures of the patient's change in health status, such as patient satisfaction, length of hospital stay, or number of health-care visits and hospitalizations. The outcome measures at the health practitioner level also followed the same pattern of either measuring actual change in health practice of the practitioner, such as their compliance (or noncompliance) with the implemented guidelines, or surrogate measures, such as measurement of the practitioner's knowledge or attitudes. For the organizational or process level, the focus was on measuring change in the health system, such as to cost, policy and procedures, and the time spent by the practitioner. As indicated by the authors, only a small number (20%) of the studies reported the reliability or validity of the outcome measures. For studies included in the review (Hakkennes Green, 2006), several methods were used to collect data, including medical record audit; computerized medical records audit; health practitioners survey, questionnaire, or interview; patient survey, questionnaire, or interview; computerized database; log books, department records, or registers; encounter charts, request slips, or diaries; and others (such as clinical examination, results of blood tests, and video- and audiotaping of consultations). The authors reported that approximately half of the included studies used a medical record audit to collect data for the outcomes. Overall, the measures of change in health practitioner behavior were the most common, followed by the measures that assess change at a patient level (either actual measures of change or surrogate measures of change), health practitioners' knowledge and attitudes, and changes at an organizational level. Examples of Approaches in Measuring Knowledge Use Several approaches employed to measure knowledge use were reported in the literature. One approach is to measure users' discrete behaviors related to the use of research-based knowledge. Pelz and Horseley (1981) used survey questionnaire items (that were part of an 18-page questionnaire) to measure research utilization by nursing staff. Five items on the questionnaire directly measured research utilization activities, and the mean score of those five items was used as an index of research utilization. A response scale of 0, 1, 2–4, and 5 or more times in the past year was used for each activity. The Cronbach's alpha of this research utilization index (representing the internal consistency) was reported to be .87. The five research utilization activities are as follows: Reviewing research literature to identify knowledge for use in practice Evaluating research study to determine its value for practice Transferring the research knowledge into useful practice activities Planning for the implementation and evaluation of such practices Discontinuing or rejecting practice activities because of the research knowledge learned Vercoe and Hilton (1995), in a study investigating factors affecting acute-care nurses' use of research findings, measured both general use of research and use of specific research findings. For general use, nurses were asked to rate 10 statements using the scale of 1 = not at all , 2 = sometimes , 3 = frequently , and 4 = always. However, the actual statements were not reported. For use of specific research findings, nurses were asked to rate their use of 10 findings on a scale of 1 = never, 2 = sometimes , 3 = always, or, if the finding was inappropriate for their area of practice, not applicable. As reported by the authors, internal consistency of the items was .87. Content validity was tested through peer review. A different approach is to view knowledge use as a chronological process. In this approach, each step within the process could be measured to gauge the progress on the knowledge use continuum, as opposed to just measuring whether the use of knowledge occurs at the end of the process. Using this approach, Hall, Loucks, Rutherford, and Newlove (1975) developed the Levels of Use Scale to measure levels of use of innovation. The scale addresses only the behavioral aspect of use and does not focus on other aspects of use, such as attitudinal, motivational, or affective. The Levels of Use Scale consists of eight levels. Decision points were also provided to distinguish each level. The descriptions of those levels are as follows: Level 0—Nonuse: State in which the user has little or no knowledge of the innovation and no involvement with the innovation and is doing nothing toward becoming involved. Level I—Orientation: State in which the user has acquired or is acquiring information about the innovation and/or has explored or is exploring its value orientation and its demands on user and user system. Level II—Preparation: State in which the user is preparing for first use of the innovation. Level III—Mechanical use: State in which the user focuses most effort on the short-term, day-to-day use of the innovation, with little time for reflection. Changes in use are made more to meet the user needs than the client needs. The user is primarily engaged in a stepwise attempt to master the tasks required to use the innovation, often resulting in disjointed and superficial use. Level IV A—Routine: Use of the innovation is stabilized. Few if any changes are being made in ongoing use. Little preparation or thought is being given to improving innovation use or its consequences. Level IV B—Refinement: State in which the user varies the use of the innovation to increase the impact on clients within the immediate sphere of influence. Variations are based on knowledge of both short- and long-term consequences for clients. Level V—Integration: State in which the user is combining own efforts to use the innovation with related activities of colleagues to achieve a collective impact on clients within their common sphere of influence. Level VI—Renewal: State in which the user reevaluates the quality of use of the innovation, seeks major modifications of or alternatives to present innovation to achieve increased impact on clients, examines new developments in the field, and explores new goals for self and the system. As presented by Hall et al. (1975), each level of use of innovation is accompanied by seven categories to describe the range of behaviors within each level. The seven categories are (1) knowledge, (2) acquiring information, (3) sharing, (4) assessing, (5) planning, (6) status reporting, and (7) performing. For example, within Level I (orientation stage), each category was described as follows: Category 1—Knowledge: Knows general information about the innovation, such as origin, characteristics, and implementation requirements Category 2—Acquiring information: Seeks descriptive material about the innovation; seeks opinions and knowledge of others through discussions, visits, or workshops Category 3—Sharing: Discusses the innovation in general terms and/or exchanges descriptive information, materials, or ideas about the innovation and possible implications of its use Category 4—Assessing: Analyzes and compares materials, content, requirements for use, evaluation reports, potential outcomes, and strengths and weaknesses for the purpose of making a decision about use of the innovation Category 5—Planning: Plans to gather necessary information and resources as needed to make a decision for or against use of the innovation Category 6—Status reporting: Reports presently orienting self to what the innovation is and is not Category 7—Performing: Explores the innovation and requirements for its use by talking to others about it, reviewing descriptive information and sample materials, attending orientation sessions, and observing others using it The psychometric properties of the Levels of Use Scale (Hall et al., 1975) were not reported. However, the scale is one of the most comprehensive in measuring use and could conceivably be quite sensitive in detecting small increments of progress in knowledge use. Particularly, the scale would be useful in evaluating steps taken toward implementation even when the full implementation has not yet occurred. Larsen (1982) developed a utilization scale containing seven ranked stages of knowledge use and non-use. A piece of information (whether it be a research finding, an idea, a suggestion, or a recommendation) is assigned a rank value based on an ordinal scale outlined in the following list. No reliability or validity were reported. Considered and rejected: Some discussion takes place, but the information is rejected. Nothing done: No action, not even discussion, is taken. Under consideration: Information has not been used but is being discussed and considered. Steps toward implementation: Although information has not been used, the decision to do so has been made and initial planning steps have been taken. Partially implemented: Certain features of information have been used, whereas others have been disregarded. Implemented as presented: The information is used in the form in which it was originally presented. Implemented and adapted: Information is modified or adapted to fit the local situation. Brett (1987) developed the Nursing Practice Questionnaire (NPQ) to measure use of specific research findings. Brief descriptions of 14 innovations were provided in the questionnaire. Using Rogers' stages of innovation adoption (Rogers, 1983) as a guide, seven questions measuring the nurse's stage of innovation adoption were developed to be used with each of the 14 nursing practices. The seven questions, as later described by Michel and Sneed (1995), are listed here: Have you read about this nursing practice? Have you heard about this nursing practice? Have you observed this practice in use? Have you learned about this practice from any other source? If appropriate to the practice setting, do you believe a nurse should use this nursing practice? How often do you use this nursing practice? Are you aware of any policies concerning this nursing practice in your workplace? These questions address the four stages of innovation adoption identified in the Diffusion of Innovation framework: (1) knowledge (awareness), (2) persuasion, (3) decision, and (4) implementation (Rogers, 1983). Each question represents a specific stage of the innovation adoption: Questions 1 through 4 measure the level of awareness of the recommended practice. An answer of "yes" to at least one of these questions indicates involvement in the awareness stage and is scored 1. Question 5 measures the nurse's attitude about the innovation. An affirmative response indicates a positive attitude about the innovation and is scored 1. A "no" or an "undecided" answer is scored 0. This question is designed to measure the persuasion stage of the innovation adoption. Question 6 assesses the nurse's achievement of the implementation stage. Two levels of use of the innovation are measured: "sometimes," which is scored 1; and "always," which is scored 2. Question 7 measures the knowledge of institutional policies and/or procedures concerning the innovation. A range of score is assigned for the extent of the dissemination of each research finding (innovation). The points given for each stage (unaware = 0; aware = 1; persuasion = 1; used sometimes = 1; used always = 2) are totaled and averaged. The ranges of possible scores assigned to the various stages of adoption are as follows: Unaware = 0–0.49 Aware = 0.5–1.49 Persuasion = 1.5–2.49 Used sometimes = 2.5–3.49 Used always = 3.5–4.0 As reported by Brett (1987), the test–retest reliability using a 1-week interval was r = .83. The overall internal consistency (Cronbach's alpha) was .95, whereas the coefficients of the individual innovation scales ranged from .68 to .95. Content validity was assumed because the 14 innovations were derived from published nursing research reports using specific criteria. The NPQ, in both its original form and in a modified form, was used in a number of studies (Berta, 1995; Brett, 1987, 1989; Coyle Sokop, 1990; Michel Sneed, 1995; Rodgers, 2000). Also following the stages-of-use approach, Landry, Amara, and Lamari (2001) measured the use of social science research with a scale derived from the Knott and Wildavsky (1980) stages of knowledge utilization. However, this scale measures knowledge utilization from the perspective of the knowledge producers (who were university researchers) rather that of the knowledge users. A question was posed to the respondents as to what had become of their research of the last 5 years. They then were asked to respond to six statements representing the six stages of knowledge utilization using a five-point scale of 1 = never, 2 = rarely, 3 = sometimes, 4 = usually, and 5 = always. No psychometric properties were reported. The six stages are listed here: I transmitted my research results to the practitioners and professionals concerned ( transmission ). My research reports were read and understood by the practitioners and professionals concerned ( cognition ). My work has been cited as a reference in the reports, studies, and strategies of action elaborated by practitioners and professionals ( reference ). Efforts were made to adopt the results of my research by practitioners and professionals ( effort ). My research results influenced the choices and decisions of practitioners and professionals ( influence ). My results gave rise to applications and extension by the practitioners and professionals concerned ( application). A similar scale was developed to measure knowledge utilization as reported by policymakers (Landry, Lamari, Amara, 2003). The items representing the six stages of knowledge utilization are listed as follows. No psychometric properties were reported. I received the university research pertinent to my work. I read and understood the university research that I received. I participated in meetings for discussion and popularization of the aforementioned university research. I cited university research studies as references in my own professional reports or documents. I made efforts to favor the use of university research results. University research results influenced decisions in my administrative unit. Another approach is to measure not only the behavioral aspect of the knowledge user, but also other aspects related to knowledge use. Anderson, Ciarlo, and Brodie (1980) used a structured interview method to measure knowledge utilization in the behavioral, cognitive, and affective dimensions. The behavioral aspect was measured by examining reported changes in the activities, practices, or policies that resulted from the researchers' feedback based on their program evaluation for the participating organization. The researchers used two questions, one open-ended and one recommendation-cued, to gather information for behavior change. In the open-ended question, they asked the respondents to describe specific instances of any activities undertaken related to the issues being evaluated. In the recommendation-cued question, they read each respondent a list of the recommendations from their evaluation research and then asked the respondent to cite specific instances of activities relevant to the recommendations. Information was then extracted and coded by category of utilization derived by the research team. The authors stated that after each set of interviews was coded, a measure of the interrater reliability of the coding was computed. However, the reliability results were not reported. The coding was nominal in nature, and the evaluation of knowledge use was descriptive rather than statistical. To measure the cognitive aspect, the researchers compared the rating of the respondents' beliefs about various aspects of the issue they were studying. Those themes were extracted from the coding of the pre-intervention interviews. The participants were asked to rate their agreement with each of the themes earlier in the project and at 1-month and 6-month intervals after the completion of their intervention. In addition to the original themes obtained from the pre-intervention interviews, a list of "data themes," or statements based on the actual data analysis, was added. In some cases, as stated by the authors, an original theme may also become a data theme. For data themes not originally generated in the pre-intervention interview, the researchers examined whether the postevaluation views of the panel were in agreement or in conflict with those themes. For the affective aspect, respondents were asked to rate their concern about the problem or issue and their satisfaction with the team's solutions. The timing and rating comparisons were the same as the methods outlined in the cognitive change measurement. Using a similar orientation, Champion and Leach (1989) developed a scale to measure nurses' research utilization in their study to determine variables related to research utilization in nursing. Four sets of items were measured: (1) attitude, (2) availability, (3) support, and (4) research utilization. The attitude items measured feelings about incorporating research into practice. The availability items measured the opportunity a nurse had to access research findings in his or her institution. The support items measured the degree to which a nurse's administrative leaders and professional colleagues encouraged research utilization. The research utilization items measured the degree to which the nurse felt he or she incorporated findings into practice. The respondents were asked to rate each item using a Likert scale ranging from strongly agree (= 5) to strongly disagree (= 1). The questionnaire consists of 38 items, with 21 items measuring attitude, 7 measuring availability, 8 measuring support, and 10 measuring use. Examples of items representing each of the four aspects are provided below: Attitude: I would change my practice based on research findings. I want to base my practice on research. Using research helps me meet my goal as a nurse. Availability: I have access to research findings where I work. I have access to research findings on my floor. I have time to read about research while I am on duty. Use: I base my practice on research. My nursing care decisions are based on research. I do not use research in my day-to-day practice. Support: Nurses in my work area. Unit director (Head Nurse). Chairman. As reported by the authors, the content validity was judged by experts. Internal consistency as measured by Cronbach's alpha ranged from .84 to .94. Another possible approach in measuring research use is to separately measure each type of use, including conceptual, instrumental, and symbolic use. As discussed earlier, preliminary evidence (Amara, Ouimet, Landry, 2004; Milner, Estabrooks, Humphrey, 2005) has shown that each type of use may be uniquely influenced by different factors. Therefore, it seems logical to measure each type of use separately. Estabrooks (1999) developed a measurement scale using four questions to measure overall research utilization, direct research utilization (instrumental use), indirect research utilization (conceptual use), and persuasive research utilization (symbolic use). The overall-research-utilization question was "Overall, in the past year, how often have you used research in some aspect of your nursing practice?" The question was asked four times throughout the questionnaire. Each time, the question was preceded by the definition of overall research utilization as "The use of any kind of research findings (nursing and non-nursing) in any aspect of your work as a registered nurse. Do not count as research things you learned in nursing school where you did your basic nursing training." The direct-research-utilization question was "Overall, in the past year, how often have you used research findings in this direct way in some aspect of your nursing practice?" This question was preceded by a definition of direct research utilization as "The use of any kind of research findings (nursing and non-nursing) where you directly use the findings in giving patient care and/or client interventions. Do not count as research things you learned in your basic training." Examples of direct research utilization were provided immediately following the definition. The indirect-research-utilization question was "Overall, in the past year, how often have you used research findings in this nondirect way in some aspect of your nursing practice?" Similar to the previous two areas, the question was preceded by the definition of indirect research utilization as "The use of any kind of research findings (nursing and non-nursing) to change your thinking or your opinions about how to approach certain patient care or client situations. Do not count as research things you learned in your basic training." Examples were also provided. The persuasive-research-utilization question was "Overall, in the past year, how often have you used research findings in this persuasive way?" The question was preceded by the definition of persuasive research utilization as "The use of research findings (nursing and non-nursing) to persuade others, who are usually in decision-making positions, to make changes in conditions, policies, or practices relevant to nurses, patients/clients, and/or the health of individuals or groups. Do not count as research things you learned in your basic training." As for the other areas, examples were provided. The response choices for each question included the scale of 1 = never, 2 = on one or two shifts, 3 = (unlabeled), 4 = (unlabeled), 5 = on about half of the shifts, 6 = (unlabeled), 7 = nearly every shift, and 8 = do not know. This measure was used in other studies (Estabrooks, Chong, Birdsell, 2003; Milner et al., 2005) with slight modifications in administrative methods, scale, and wording of the questions. Amara et al. (2004), in an approach similar to that of Estabrooks' measurement of research utilization, developed questions that they included in a survey instrument to distinguish the degree of policymakers' instrumental use, conceptual use, and symbolic use of university research. The instrumental use was described as "The use of university research led to concrete action in my field of work." The conceptual use was described as "The use of university research served to shed light on situations and problems in my field of work." The symbolic use was described as "The use of university research served to confirm choices already made in my field of work." These questions were part of a larger questionnaire. The participants were asked to indicate the level of importance of each type of utilization using the Likert-type scale of 0 = does not apply and does not know, 1 = negligible, 2 = somewhat negligible , 3 = moderately important, 4 = very important , and 5 = decisive. Focusing on the product of research use rather than on users' behavior, Hanney, Gonzalez-Block, Buxton, and Kogan (2003) proposed a draft scale to measure research utilization in policymaking by directly examining the policy of interest in four areas: Consistency of policy with research findings Degree of influence of research on policy agenda setting Degree of influence of research on policy formulation Degree of influence of research on policy implementation The first area, c onsistency of policy with research findings, concerns the agreement between the policy and the body of international research. The policy would be examined, using documentary analysis, on its consistency with research findings by determining the level of agreement between the policy and the findings of the research. The second area, degree of influence of research on policy agenda setting, relates to the extent that research helps in getting the issue onto policymakers' agendas, such as by showing the existence of a problem, pointing to actions to be taken and having those actions turned into policy, or enlightening policymakers on the importance of the issue. This information would be obtained via interviews, documentary analysis, and questionnaires to determine degree of influence of research findings on the policy agenda setting. The third area, degree of influence of research on policy formulation, concerns the actual influence that the research had during the policy formulating process. The actual influence, as indicated by Hanney et al. (2003), includes not only the direct use of research findings to develop the policy content, but also other possible impacts, such as the gradual development of insights, theories, concepts, and perspectives in the enlightenment mode (conceptual use). The degree of influence of research on the policy content, either for instrumental impact or enlightenment, would be determined primarily via interviews but also through survey and documentary data. The fourth area,degree of influence of research on policy implementation, concerns the use of research in policy implementation, either to determine appropriate implementation strategies or to secure support for the policy in terms of financial resources, political commitment, and public opinion. Information in this area will come from interviews and documentary analysis. For each area, the ranking scale of considerable, moderate, limited, or no indication is used to measure the degree of research utilization in the four areas indicated above. Epilogue As evidenced in this review, knowledge translation (KT) is a complex and multifaceted construct that requires a consideration of a multitude of dimensions together to form a comprehensive picture. It should be noted that the literature included in this review came mostly from disciplines other than rehabilitation. Although the information from such literature could provide some understanding of KT in general, its direct applicability to KT in rehabilitation is not known. For instance, the degree of similarity between the context of policymaking, of which a substantial amount of information contributes to the body of the literature in this area, and the context of everyday practice in rehabilitation is not clear. Can it be assumed that the same influencing factors exist and play similar roles in both environments? Are the types of knowledge use similar in both contexts? Do practitioners and policymakers make the same kind of decisions? It is certainly important to create a body of empirical knowledge that is directly relevant and applicable to rehabilitation. Future questions may include the following: What types of use occur in practice settings, and how prevalent are they? 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A STATISTICAL APPROACH TO MACHINE TRANSLATION - 文件格式: PDF/Adobe Acrobat - 快速查看 作者：PF Brown - 1990 - 被引用次数：1251 - 相关文章 In this paper, we present a statistical approach to machine translation . We describe the application of our approach to translation from French to English ... www.ldc.upenn.edu/acl/J/J90/J90-2002.pdf The Mathematics of Statistical Machine Translation: Parameter ... - 文件格式: PDF/Adobe Acrobat - 快速查看 作者：PE Brown - 被引用次数：2598 - 相关文章 The Mathematics of Statistical Machine. Translation: Parameter Estimation. Peter E Brown*. IBM T.J. Watson Research Center. Vincent J. Della Pietra* ... www.ldc.upenn.edu/acl/J/J93/J93-2003.pdf A Statistical MT Tutorial Workbook Kevin Knig - 文件格式: PDF/Adobe Acrobat - 快速查看 A Statistical MT Tutorial Workbook . Kevin Knight prepared in connection with the JHU summer workshop. April 30, 1999 ... www2.denizyuret.com/ref/knight/wkbk.pdf Discriminative Training and Maximum Entropy Models for Statistical ... - 文件格式: PDF/Adobe Acrobat - 快速查看 作者：FJ Och - 被引用次数：649 - 相关文章 Discriminative Training and Maximum Entropy Models for Statistical. Machine Translation. Franz Josef Och and Hermann Ney. Lehrstuhl für Informatik VI, ... www.ldc.upenn.edu/acl/P/P02/P02-1038.pdf Statistical Phrase-Based Translation - 文件格式: PDF/Adobe Acrobat - 快速查看 作者：P Koehn - 被引用次数：1282 - 相关文章 Statistical Phrase-Based Translation . Philipp Koehn, Franz Josef Och, Daniel Marcu. Information Sciences Institute. Department of Computer Science ... www.isi.edu/~marcu/papers/phrases-hlt2003.pd BLEU: a Method for Automatic Evaluation of Machine Translation - 文件格式: PDF/Adobe Acrobat - 快速查看 作者：K Papineni - 被引用次数：2412 - 相关文章 BLEU: a Method for Automatic Evaluation of Machine Translation . Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu ... www.ldc.upenn.edu/acl/P/P02/P02-1040.pdf 附录： 统计机器翻译中的几篇经典文献 分类 机器翻译 MIT人工智能实验室的《如何做研究》建议阅读本领域中最本质的几篇论文：“如果你对AI的某个子领域感兴趣，向该领域的高年级研究生请教本领域最重要的十篇论文是什么”。 阅读经典论文，对于了解感兴趣的领域非常重要。而关于统计机器翻译，最经典的几篇论文又是什么呢？以下是我根据自己的经验总结的几篇经典论文，如有遗漏，欢迎补充。 1．A Statistical Approach to Machine Translation 简称Brown90，这是统计机器翻译的奠基之作，是了解统计机器翻译基本思想的必读，文章中最主要的思想是把机器翻译看成是一个信息传输的过程，用一种信源信道模型对机器翻译进行解释。另外文章主要是对统计机器翻译三部分（翻译模型、语言模型及解码）的宏观介绍，涉及的数学理论并没有过多的详细解释，因此读来比较轻松。 2. The Mathematics of Machine Translation: Parameter Estimation 简称Brown93，主要针对Brown90中翻译模型的参数估计进行了详细的数学解释，需要一定的数学基础和耐心，不过Kevin Knight 99年JHU（约翰霍普金斯大学）夏季机器翻译研讨班上的《A Statistical MT Tutorial Workbook》对Brown93用例子及通俗的方式进行了讲解，读来比较容易理解，值得对照阅读。 3. Discriminative Training and Maximum Entropy Models for Statistical Machine Translation 这是统计机器翻译领域中传奇人物Franz Josef Och 在2002年ACL会议上发表的论文，他提出了基于最大熵模型的统计机器翻译方法，是对Brown信源信道模型的极大扩展，开阔了统计机器翻译的视野，并为研究者提供了一个融合其它知识到统计机器翻译中的研究框架，这篇论文获得了当年的ACL最佳论文奖。 4. Statistical Phrase-Based Translation 这是统计机器翻译领域另一个大牛Philipp Koehn 2003年与Och合著的文章，已涉及了具体的方法而不是理论框架：基于短语的统计机器翻译。之所以选在这里，与Koehn 2004年发布的具有广泛影响力的解码器Pharaoh不无关系，Pharoah现在已被Koehn领导的另一个开源项目Moses所取代。 5. BLEU: A Method for Automatic Evaluation of Machine Translation 这是目前用得最广的机器翻译自动评测方法BLEU的原始论文，之所以选在这里，因为评测方法的好坏对于机器翻译的研究具有很大的影响，BLEU理应作为评测方法的代表入选。 统计机器翻译中其实还有好多经典文献，恕本人学识有限，这里只将自己能力范围之内的重要文章放在这里，欢迎大家探讨和补充！这些文章都可以在Google中搜到，所以这里就不附下载连接了。 http://blog.52nlp.org/statistical-machine-translation-classic-literature
附录1： Chrome 10 seeds Google's Cloud OS ambitions - 9 Mar 2011 ... Chrome 10 seeds Google's Cloud OS ambitions .... I had similar user experience when opening a PDF document last night. ... The funny thing is Google is leaning toward cloud computing in certain ways but then there is ... www.betanews.com/joewilcox/article/Chrome.../1299692509 - Cloud High Club - Chrome OS , Web Apps Online Services - May 31st, 2011 Posted in Cloud OS News ... We have seen cloud -based operation systems like Chrome OS and Joli OS which are feature-rich. ... cloudhighclub.com/ 附录2： Google Chrome OS - Wikipedia, the free encyclopedia - 【1】 However, the cloud service would entail installing a piece of software, called a proxy, as part of Chrome OS . The proxy would register the printer with the ... en.wikipedia.org/wiki/Google_Chrome_OS - 网页快照 - 类似结果 Cloud MapReduce: a MapReduce Implementation on top of a Cloud ... - 【2】 文件格式: PDF/Adobe Acrobat - 快速查看 作者：H Liu - 被引用次数：4 - 相关文章 Like a traditional Operating System ( OS ), a cloud OS is ...... BREWER, E. A. Towards robust distributed systems (abstract). ... citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.177.4059... Toward a Cloud Operating System - 【3】 文件格式: PDF/Adobe Acrobat - 作者：FPPBA Duminuco - TOWARD A CLOUD OPERATING SYSTEM . In this section, we present the architecture and functional building blocks of the Cloud OS . Our current design ap- ... www.moritzsteiner.de/papers/CloudOS.pdf 6d501 Cloud - Cisco Services Part 1 -【4】 文件格式: PDF/Adobe Acrobat - Cisco Cloud OS and Open Cloud Architecture. Resource Management ..... toward virtualization and ability to realize benefits of cloud computing ... www.cisco-tw.com/.../20110308_Q3FY11_DCoF_03_Cisco_Luis_Chang.pdf
Ontology【汉语译文：知识本体（in computer science） 本体论（in philosophy）】 这个术语表达的概念， 不仅在自然人形上哲学领域已经有了显著进展， 而且在计算机人工智能领域更得到了长足发展。 附件1： http://en.wikipedia.org/wiki/Ontology Ontology (from the Greek ὄν , genitive ὄντος : "of that which is", and -λογία , -logia : science , study , theory ) is the philosophical study of the nature of being , existence or reality as such, as well as the basic categories of being and their relations. Traditionally listed as a part of the major branch of philosophy known as metaphysics , ontology deals with questions concerning what entities exist or can be said to exist, and how such entities can be grouped, related within a hierarchy , and subdivided according to similarities and differences. Contents 1 Overview 1.1 Some fundamental questions 1.2 Concepts 2 History of ontology 2.1 Etymology 2.2 Origins 2.2.1 Parmenides and Monism 2.2.2 Ontological pluralism 2.2.3 Plato 2.2.4 Aristotle 3 Other ontological topics 3.1 Ontological and epistemological certainty 3.2 Body and environment, questioning the meaning of being 4 Prominent ontologists 5 See also 6 References 7 External links 附件2： http://en.wikipedia.org/wiki/Ontology_(information_science ) 附件3 ： http://www-ksl.stanford.edu/kst/what-is-an-ontology.html In computer science and information science , an ontology is a formal representation of knowledge as a set of concepts within a domain , and the relationships between those concepts. It is used to reason about the entities within that domain, and may be used to describe the domain. In theory, an ontology is a "formal, explicit specification of a shared conceptualisation". An ontology provides a shared vocabulary, which can be used to model a domain — that is, the type of objects and/or concepts that exist, and their properties and relations. Ontologies are the structural frameworks for organizing information and are used in artificial intelligence , the Semantic Web , systems engineering , software engineering , biomedical informatics , library science , enterprise bookmarking , and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework . Contents 1 Overview 2 History 3 Ontology components 4 Domain ontologies and upper ontologies 5 Ontology engineering 6 Ontology languages 7 Examples of published ontologies 8 Ontology libraries 9 Examples of applications using ontology engines 10 See also 11 References 12 Further reading 13 External links What is an Ontology? This definition was originally proposed in 1992 and posted as shown below. See an updated definition of ontology (computer science) that accounts for the literature before and after that posting, with links to further readings. Tom Gruber gruber@ksl.stanford.edu Short answer: An ontology is a specification of a conceptualization. The word "ontology" seems to generate a lot of controversy in discussions about AI. It has a long history in philosophy, in which it refers to the subject of existence. It is also often confused with epistemology, which is about knowledge and knowing. In the context of knowledge sharing, I use the term ontology to mean a specification of a conceptualization . That is, an ontology is a description (like a formal specification of a program) of the concepts and relationships that can exist for an agent or a community of agents. This definition is consistent with the usage of ontology as set-of-concept-definitions, but more general. And it is certainly a different sense of the word than its use in philosophy. What is important is what an ontology is for . My colleagues and I have been designing ontologies for the purpose of enabling knowledge sharing and reuse. In that context, an ontology is a specification used for making ontological commitments. The formal definition of ontological commitment is given below. For pragmetic reasons, we choose to write an ontology as a set of definitions of formal vocabulary. Although this isn't the only way to specify a conceptualization, it has some nice properties for knowledge sharing among AI software (e.g., semantics independent of reader and context). Practically, an ontological commitment is an agreement to use a vocabulary (i.e., ask queries and make assertions) in a way that is consistent (but not complete) with respect to the theory specified by an ontology. We build agents that commit to ontologies. We design ontologies so we can share knowledge with and among these agents. This definition is given in the article: T. R. Gruber. A translation approach to portable ontologies. Knowledge Acquisition , 5(2):199-220, 1993. Available on line . A more detailed description is given in T. R. Gruber. Toward principles for the design of ontologies used for knowledge sharing. Presented at the Padua workshop on Formal Ontology, March 1993, later published in International Journal of Human-Computer Studies , Vol. 43, Issues 4-5, November 1995, pp. 907-928. Available online . With an excerpt attached. Ontologies as a specification mechanism A body of formally represented knowledge is based on a conceptualization : the objects, concepts, and other entities that are assumed to exist in some area of interest and the relationships that hold among them (Genesereth Nilsson, 1987) . A conceptualization is an abstract, simplified view of the world that we wish to represent for some purpose. Every knowledge base, knowledge-based system, or knowledge-level agent is committed to some conceptualization, explicitly or implicitly. An ontology is an explicit specification of a conceptualization. The term is borrowed from philosophy, where an Ontology is a systematic account of Existence. For AI systems, what "exists" is that which can be represented. When the knowledge of a domain is represented in a declarative formalism, the set of objects that can be represented is called the universe of discourse. This set of objects, and the describable relationships among them, are reflected in the representational vocabulary with which a knowledge-based program represents knowledge. Thus, in the context of AI, we can describe the ontology of a program by defining a set of representational terms. In such an ontology, definitions associate the names of entities in the universe of discourse (e.g., classes, relations, functions, or other objects) with human-readable text describing what the names mean, and formal axioms that constrain the interpretation and well-formed use of these terms. Formally, an ontology is the statement of a logical theory. We use common ontologies to describe ontological commitments for a set of agents so that they can communicate about a domain of discourse without necessarily operating on a globally shared theory. We say that an agent commits to an ontology if its observable actions are consistent with the definitions in the ontology. The idea of ontological commitments is based on the Knowledge-Level perspective (Newell, 1982) . The Knowledge Level is a level of description of the knowledge of an agent that is independent of the symbol-level representation used internally by the agent. Knowledge is attributed to agents by observing their actions; an agent "knows" something if it acts as if it had the information and is acting rationally to achieve its goals. The "actions" of agents---including knowledge base servers and knowledge-based systems--- can be seen through a tell and ask functional interface (Levesque, 1984) , where a client interacts with an agent by making logical assertions (tell), and posing queries (ask). Pragmatically, a common ontology defines the vocabulary with which queries and assertions are exchanged among agents. Ontological commitments are agreements to use the shared vocabulary in a coherent and consistent manner. The agents sharing a vocabulary need not share a knowledge base; each knows things the other does not, and an agent that commits to an ontology is not required to answer all queries that can be formulated in the shared vocabulary. In short, a commitment to a common ontology is a guarantee of consistency, but not completeness, with respect to queries and assertions using the vocabulary defined in the ontology. Notes Ontologies are often equated with taxonomic hierarchies of classes, but class definitions, and the subsumption relation, but ontologies need not be limited to these forms. Ontologies are also not limited to conservative definitions, that is, definitions in the traditional logic sense that only introduce terminology and do not add any knowledge about the world (Enderton, 1972) . To specify a conceptualization one needs to state axioms that do constrain the possible interpretations for the defined terms. 附件:4： http://tomgruber.org/writing/ontology-definition-2007.htm Ontology by Tom Gruber in the Encyclopedia of Database Systems , Ling Liu and M. Tamer zsu (Eds.), Springer- Verlag , 2009. Synonyms computational ontology, semantic data model, ontological engineering Definition In the context of computer and information sciences, an ontology defines a set of representational primitives with which to model a domain of knowledge or discourse. The representational primitives are typically classes (or sets), attributes (or properties), and relationships (or relations among class members). The definitions of the representational primitives include information about their meaning and constraints on their logically consistent application. In the context of database systems, ontology can be viewed as a level of abstraction of data models, analogous to hierarchical and relational models, but intended for modeling knowledge about individuals, their attributes, and their relationships to other individuals. Ontologies are typically specified in languages that allow abstraction away from data structures and implementation strategies; in practice, the languages of ontologies are closer in expressive power to first-order logic than languages used to model databases. For this reason, ontologies are said to be at the "semantic" level, whereas database schema are models of data at the "logical" or "physical" level. Due to their independence from lower level data models, ontologies are used for integrating heterogeneous databases, enabling interoperability among disparate systems, and specifying interfaces to independent, knowledge-based services. In the technology stack of the Semantic Web standards , ontologies are called out as an explicit layer. There are now standard languages and a variety of commercial and open source tools for creating and working with ontologies. Historical Background The term "ontology" comes from the field of philosophy that is concerned with the study of being or existence. In philosophy, one can talk about an ontology as a theory of the nature of existence (e.g., Aristotle's ontology offers primitive categories, such as substance and quality, which were presumed to account for All That Is). In computer and information science, ontology is a technical term denoting an artifact that is designed for a purpose, which is to enable the modeling of knowledge about some domain, real or imagined. The term had been adopted by early Artificial Intelligence (AI) researchers, who recognized the applicability of the work from mathematical logic and argued that AI researchers could create new ontologies as computational models that enable certain kinds of automated reasoning . In the 1980's the AI community came to use the term ontology to refer to both a theory of a modeled world (e.g., a Nave Physics ) and a component of knowledge systems. Some researchers, drawing inspiration from philosophical ontologies, viewed computational ontology as a kind of applied philosophy . In the early 1990's, an effort to create interoperability standards identified a technology stack that called out the ontology layer as a standard component of knowledge systems . A widely cited web page and paper associated with that effort is credited with a deliberate definition of ontology as a technical term in computer science. The paper defines ontology as an "explicit specification of a conceptualization," which is, in turn, "the objects, concepts, and other entities that are presumed to exist in some area of interest and the relationships that hold among them." While the terms specification and conceptualization have caused much debate, the essential points of this definition of ontology are An ontology defines (specifies) the concepts, relationships, and other distinctions that are relevant for modeling a domain. The specification takes the form of the definitions of representational vocabulary (classes, relations, and so forth), which provide meanings for the vocabulary and formal constraints on its coherent use. One objection to this definition is that it is overly broad, allowing for a range of specifications from simple glossaries to logical theories couched in predicate calculus . But this holds true for data models of any complexity; for example, a relational database of a single table and column is still an instance of the relational data model. Taking a more pragmatic view, one can say that ontology is a tool and product of engineering and thereby defined by its use. From this perspective, what matters is the use of ontologies to provide the representational machinery with which to instantiate domain models in knowledge bases, make queries to knowledge-based services, and represent the results of calling such services. For example, an API to a search service might offer no more than a textual glossary of terms with which to formulate queries, and this would act as an ontology . On the other hand, today's W3C Semantic Web standard suggests a specific formalism for encoding ontologies (OWL), in several variants that vary in expressive power . This reflects the intent that an ontology is a specification of an abstract data model (the domain conceptualization) that is independent of its particular form. Scientific Fundamentals Ontology is discussed here in the applied context of software and database engineering, yet it has a theoretical grounding as well. An ontology specifies a vocabulary with which to make assertions, which may be inputs or outputs of knowledge agents (such as a software program). As an interface specification , the ontology provides a language for communicating with the agent. An agent supporting this interface is not required to use the terms of the ontology as an internal encoding of its knowledge. Nonetheless, the definitions and formal constraints of the ontology do put restrictions on what can be meaningfully stated in this language. In essence, committing to an ontology (e.g. supporting an interface using the ontology's vocabulary) requires that statements that are asserted on inputs and outputs be logically consistent with the definitions and constraints of the ontology . This is analogous to the requirement that rows of a database table (or insert statements in SQL) must be consistent with integrity constraints, which are stated declaratively and independently of internal data formats. Similarly, while an ontology must be formulated in some representation language, it is intended to be a semantic level specification -- that is, it is independent of data modeling strategy or implementation. For instance, a conventional database model may represent the identity of individuals using a primary key that assigns a unique identifier to each individual. However, the primary key identifier is an artifact of the modeling process and does not denote something in the domain. Ontologies are typically formulated in languages which are closer in expressive power to logical formalisms such as the predicate calculus. This allows the ontology designer to be able to state semantic constraints without forcing a particular encoding strategy. For example, in typical ontology formalisms one would be able to say that an individual was a member of class or has some attribute value without referring to any implementation patterns such as the use of primary key identifiers. Similarly, in an ontology one might represent constraints that hold across relations in a simple declaration (A is a subclass of B), which might be encoded as a join on foreign keys in the relational model. Ontology engineering is concerned with making representational choices that capture the relevant distinctions of a domain at the highest level of abstraction while still being as clear as possible about the meanings of terms. As in other forms of data modeling, there is knowledge and skill required. The heritage of computational ontology in philosophical ontology is a rich body of theory about how to make ontological distinctions in a systematic and coherent manner. For example, many of the insights of "formal ontology" motivated by understanding "the real world" can be applied when building computational ontologies for worlds of data . When ontologies are encoded in standard formalisms, it is also possible to reuse large, previously designed ontologies motivated by systematic accounts of human knowledge or language . In this context, ontologies embody the results of academic research, and offer an operational method to put theory to practice in database systems. Key Applications Ontologies are part of the W3C standards stack for the Semantic Web, in which they are used to specify standard conceptual vocabularies in which to exchange data among systems, provide services for answering queries, publish reusable knowledge bases, and offer services to facilitate interoperability across multiple, heterogeneous systems and databases. The key role of ontologies with respect to database systems is to specify a data modeling representation at a level of abstraction above specific database designs (logical or physical), so that data can be exported, translated, queried, and unified across independently developed systems and services. Successful applications to date include database interoperability, cross database search, and the integration of web services. Cross References data model, data modeling, knowledge base, knowledge engineering Recommended Reading Berners-Lee, T., Hendler , J. and Lassila, O. The Semantic Web , Scientific American , May 2001. Also http://www.w3.org/2001/sw/ Gruber, T. R., A Translation Approach to Portable Ontology Specifications . Knowledge Acquisition , 5(2):199-220, 1993. See also What is an Ontology? http://www-ksl.stanford.edu/kst/what-is-an-ontology.html Gruber, T. R., Toward Principles for the Design of Ontologies Used for Knowledge Sharing . International Journal Human-Computer Studies , 43(5-6):907-928, 1995. Guarino , N. Formal Ontology, Conceptual Analysis and Knowledge Representation , International Journal of Human-Computer Studies , 43(5-6):625–640, 1995. Hayes, P. J. The Second Naive Physics Manifesto, in Hobbs and Moore (eds.), Formal Theories of the Common-Sense World , Norwood: Ablex , 1985. McCarthy, J. Circumscription -- A Form of Non-Monotonic Reasoning , Artificial Intelligence , 5(13): 27-39, 1980. McGuinness, D. L. and van Harmelen , F. OWL Web Ontology Language . W3C Recommendation 10 February 2004. http://www.w3.org/TR/owl-features/ Neches , R., Fikes , R. E., Finin, T., Gruber, T. R., Patil , R., Senator, T., Swartout , W. R. Enabling technology for knowledge sharing . AI Magazine , 12(3):16-36, 1991. Smith, B. and Welty , C. Ontology---towards a new synthesis . Proceedings of the International Conference on Formal Ontology in Information Systems (FOIS2001). ACM Press, 2001. Sowa, J. F. Conceptual Structures. Information Processing in Mind and Machine, Reading, MA: Addison Wesley, 1984. Standard Upper Ontology Working Group (SUO) IEEE P1600.1, http://suo.ieee.org/ Encyclopedia of Database Systems
机器翻译【Machine translation (MT) 】和翻译记忆【Translation Memory (TM)】相结合，是一种相当有效的计算机辅助翻译方式。 因此，对这两方面的研究进展以及实际应用的情况都值得关注。 附件1 Machine translation (MT) is the application of computers to the task of translating texts from one natural language to another. One of the very earliest pursuits in computer science, MT has proved to be an elusive goal, but today a number of systems are available which produce output which, if not perfect, is of sufficient quality to be useful in a number of specific domains." A definition from the European Association for Machine Translation (EAMT), "an organization that serves the growing community of people interested in MT and translation tools, including users, developers, and researchers of this increasingly viable technology." http://www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/MachineTranslation http://en.wikipedia.org/wiki/Machine_translation Language and Machines: Computers in Translation and Linguistics (1966) http://blog.sina.com.cn/s/blog_65197d930100rtlc.html Statistical Machine Translation http://www.statmt.org/ This website is dedicated to research in statistical machine translation, i.e. the translation of text from one human language to another by a computer that learned how to translate from vast amounts of translated text. Introduction to Statistical MT Research The Mathematics of Statistical Machine Translation by Brown, Della Petra, Della Pietra, and Mercer Statistical MT Handbook by Kevin Knight SMT Tutorial (2003) by Kevin Knight and Philipp Koehn ESSLLI Summer Course on SMT (2005), day1 , 2 , 3 , 4 , 5 by Chris Callison-Burch and Philipp Koehn. MT Archive by John Hutchins, electronic repository and bibliography of articles, books and papers on topics in machine translation and computer-based translation tools Conferences and Workshops See comprehensive list of NLP meetings . Software Giza++ a training tool for IBM Model 1-5 (version for gcc-4) Moses , a complete SMT system Pharaoh a decoder for phrase-based SMT Rewrite a decoder for IBM Model 4 BLEU scoring tool for machine translation evaluation Parallel Corpora LDC Linguistic Data Consortium Canadian Hansards Europarl Acquis Communitaire ELRA 附件2 A translation memory is a linguistic database that continually captures your translations as you work for future use. All previous translations are accumulated within the translation memory (in source and target language pairs called translation units) and reused so that you never have to translate the same sentence twice. The more you build up your translation memory, the faster you can translate subsequent translations, enabling you to take on more projects and increase your revenue. http://www.translationzone.com/en/translator-solutions/translation-memory/ http://en.wikipedia.org/wiki/Translation_memory The concept of a translation memory has been around for a long time--more than twenty years--but only recently has it become a significant commercial entity. Basically, a translation memory is a system which scans a source text and tries to match strings (a sentence or part thereof) against a database of paired source and target language strings with the aim of reusing previously translated materials. Some translation memories attempt only literal matching, ie can only retrieve the exact match of a sentence, while others employ fuzzy matching algorithms to retrieve similar target language strings, flagging differences. The flexibility and robustness of the matching algorithm largely determine the performance of the system, although for some applications (ie, highly repetitive material) the recall rate of exact matches can be high enough to justify the literal approach. Translation memories are typically integrated into translation workstation packages, where they can be used in tandem with a terminology management system, a multilingual dictionary, and even raw MT output. http://www.issco.unige.ch/en/research/projects/ewg95//node149.html
昨晚观看了一部印度电影——《 三傻大闹宝莱坞 》，虽说名字不怎么文雅，但看过之后首先他就使 我明白了在面对未来的时候该用什么态度，在面对迷茫的时候应该如何应对（as si well），这又让我想起原先父亲推荐给我的一本书——《The secret》。每个人都会有恐惧，而不敢去面对，当我们以一颗平常心去对待时也许会柳暗花明又一村…… 对于学习，对于现在的论文，对于就业…… 想想现在很多地方都像电影中的ICE学院那样 ，评价学生的唯一标准就只有成绩，似乎第二就没有出路，成绩不好就意味着没有未来！但影片中的主人公刚进校园就用所学的物理知识（尿液是良导体）来教训了本想欺负新生的的学长，这就是我们需要的理论联系实际，他还用他的执着探索去完成了没有完成毕业论文而自杀的同学的发明，他用他的智慧、幽默打破了学院墨守成规的传统观念，改变了大家对于学习的态度。主人公的善良、开朗、幽默、智慧与其他人的恐惧、虚心假意（被迫）形成了鲜明的对比，并最终影响了他人，鼓励帮助朋友实现了他们一直不敢超越的界限而最终打破传统观念实现了自己的梦想。 那些生动的场景不禁引发了我对于我们大学四年的思考。 这四年我们到底是如何学习的？是混文凭？还是学方法技能？ 面对即将到来的研究生生活是像很多人那样混？还是真正为了自己当初英语面试时常说的那句：I wish to devote my whole life to the knowledge的誓言而执着努力？ 在这个现实的社会，对于生活是像影片中的每个同学那样为了一份体面的工作去追求第一？还是为了自己的爱好去追求梦想？ 对于科研，我们是为了职称去造假？为了顺利毕业去伪造毕业论文数据？还是像钱学森那样为了祖国的强大、像袁隆平那样为了人类的粮食问题而奉献自己？ 从复试回来就整天呆在实验室的我仅仅是想在规定期限完成一份比较漂亮的毕业论文，课题是我看电视时发现这块儿目前遇到了问题而自己选的题，试验方法是参考几百篇文章后确定下来的，但从去年开始就做论文的我昨日把数据汇总后竟发现我的数据和之前参考的数据几乎是相反的结论，当然实验的细节不大相同，但数据变化的趋势却几乎是截然相反的，我是该相信自己还是为了尽快了结实验而去编造数据？从前天开始一连三天呆在实验台前做蛋白质的纯化，但实验条件有限，层析柱却是漏的，只能自力更生地自己造，用棉线、滤纸、移液管一点点的做，一天下来好不容易除了一张图，最后却又发现波形图很糟糕…… 静下心来想想还是一步一步的小结来看自己存在的问题、分析问题吧…… 因为在这之中我还是学到的比直接编写体会到的更多啊……
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