The collapse of a community lies in its failure to configure the world, esp. in the weighing of interest clashes.And no man is disinterested, and if anyone is with enough strength, there is the invision and dispute.So the crux is, who is to take a lead and who is to dig under others' feet.Therefore, the ups and downs are correlating with the correct constrcuting and deconstructing of foes.If we don't check them up and study their mentalites, there comes the disaster.However, Confucius suggests we not to guess what others' think.All craps! But what you said is what others' have heard.Here comes the game theory of loss or gain. If the gain is worthwhile, and you risk and get the truth, the detected fruit is priceless.Otherwise, you stake is too high. Since everyone has a perspective, who is to believe the narration?Any credulity brings forth the loss to the candid and the gains to liers.Therefore, we have some points to clarify here, that is why is one to lie or to act abusively?I believe, in addition to character, there is a motive to gain from the aggressive action. Therefore, on the one hand, there should be a strategy to pre-empt schemes, such as a lie or a purposeful bullying.On the other hand, there should be some disorders arise when the preemptive effort esclates into a war, and the one responding to a provocation loses much when defeated.When the latent snake is carefully controlled and we leave no chance for them to take a lead in a provocation, we are in the up wind. The point is, when the vigilence is accused of as a fuss, there is the collusion nearby.If people at hand are not carefully controlled, what is the value of human resources and management?We have to closely study the decision to make friends, that is, bad guys are possibly mixed in.First, it's not always a good reason to make friends.Moreover, it's not always a good reason to treat kindness as kindness.Second, it is neccessary break the limitations.But who is to be trusted?This is the rut.No plan is a plan.The unsaided is saided and a habit is a bad habit.An expectation is a bad habit.Here comes the truth underneath the seemingly peacefulness, if you want sth, you take the bait.A bait, and you are the fish. Any expectation of gains will make you a fish, but who is the Old Man?And the forks and ropes, where are they, why they are there.They are there because they want to be there.There must be something gathers them there.The whys hint that sth should be valueable to attract them there.But if you win and stay with the valueable, you will find there is still a net covering all, and behind the net is another hand.Or stay clean and no trivail in life. Or stay clear and no trivial to a lie. However, there should be some truth behind a lie.A lie, a story, a stroryteller and conflicts.If we cann't find anything in this planet, where the value of life lies?If there is a truth behind anything, why should we back off and take the rue?But there is the judgement and the scrupulous contact, perchance you win, perchance you lose.So the predetermined rule of nonaction should be complemented with rational practice.This is the paradox of life. translating and context, a narratve account Mona Baker
http://matpalm.com/blog/2010/08/06/my-list-of-cool-machine-learning-books/ 0) " Machine Learning: a Probabilistic Perspective " byKevin Patrick Murphy Now available amazon.com and other vendors. Electronic versions (e.g., for Kindle) will be available later in the Fall. Table of contents Chapter 1 (Introduction) Information for instructors from MIT Press . If you are an official instructor, you can request an e-copy, which can help you decide if the book is suitable for your class. You can also request the solutions manual. Errata Matlab software All the figures , together with matlab code to generate them 1) "programming collective intelligence" by toby segaran if you know nothing about machine learning and haven't done maths since high school then this is the book for you. it's a fantastically accesible introduction to the field. includes almost no theory and explains algorithms using actual python implementations. 2) "data mining" by witten and frank this book covers quite a bit more than programming c.i. while still being extremely practical (ie very few formula). about a fifth of the book is dedicated to weka, a machine learning workbench which was written by the authors. apart from the weka section this book has no code. i made a little screencast on weka awhile back if you're after a summary. 3) "introduction to data mining" by tan, steinbach and kumar covers almost the same material as the witten/frank text but delves a little bit deeper and with more rigour. includes no code (none of the books do from now on) with algorithms described by formula. has a number of appendices on linear algebra, probability, statistics etc so that you can read up if you're a bit rusty or new to the fields (the witten/frank text lack these). some people might argue having both of these books is a waste since they cover so much of the same ground but i've always found multiple explanations from different authors to be a great way to help understand a topic. i read the witten/frank text first and am glad i did but if i could only keep one i'd keep this one. intermission at this point you've probably got enough mental firepower to handle some of the uni level machine learning course notes that are floating about online. if you're keen to get a better foundation of the maths side of things it'd be worth working through andrew ng's lecture series on machine learning. (20 hours of a second year stanford course on machine learning) i also found andrew moore's lecture slides really great. (they do though require a reasonable understanding of the basics) 4) "foundations of statistical natural language processing" by manning and schutze not a machine learning book as such but great for learning to deal with one of the most common types of data around; text. since most of machine learning theory is about maths (ie numbers) this is awesome in helping to understanding how to deal with text in a mathematical context. 5) "introduction to machine learning" by ethem alpaydin covers generally the same sort of topics as the data mining books but with much more rigour and theory (derivations, proofs, etc). i think this is a good thing though since understanding how things work at a low level gives you the ability to tweak and modify as required. loads more formulas but again with appendixs that introduce the basics in enough detail to get by. 6) "all of statistics" by larry wasserman by this stage you'll probably have an appreciation of how important statistics is for this domain and it might be worth foccussing on it for a bit. personally i found this book to be a great read and though i've only read certain sections in depth i'm looking forward to when i get a chance to work through it cover to cover 7) "the elements of statistical learning" by hastie, tibshirani and friedman. with a bit more stats under your belt you might have a chance of getting through this one; the most complex of the lot. this book is absolutely beautifully presented and now that it's FREE to download you've got no reason not to have a crack at it. a remarkable piece of work and one i've yet to get through fully cover to cover, it's quite hardcore and right on the border of my level of understanding ( which makes it perfect for me :P ) ps. books i haven't read that are in the mail "machine learning" by tom mitchell have been wanting to read this one for awhile, i'm a big fan of tom mitchell , but couldn't justify the cost however just found out the other day the paperback is a third of the price of the hardback i was looking at!! the book's in the mail "pattern recognition and machine learning" by chris bishop all of a sudden seemed like everyone was reading this but me so it was time to jump on the bandwagon 《模式分类》如果是计算机、物理背景的 ,先看 Bishop的Machine Learning and Pattern Recognition ,然后看T. Hastie的 Elements of Statistical Learning 如果是数学、统计背景的,调转个顺序就可以了。Bishop的那本太厚推荐Jordan的统计学习的课件,全面,难度适中 http://www.cs.berkeley.edu/~jordan/courses/281B-spring04/ 如果实在对英文没兴趣,可以看看李航的那本统计学习,比较基础 如果仅仅想看看这方面的应用情景,推荐吴军的数学之美 以上内容转自 http://www.zhizhihu.com/html/y2012/4019.html
这是一个best practice。 形式和内容如下: —————————————————————— Dear Dr.XX You are listed as a coauthor on the above manuscript, which has recently been submitted to XXX . According toXXXpolicy, all authors must have seen and approved the submission of their manuscript. If you have seen the manuscript and approved its submission, no action is necessary. If you have not read this paper and do not approve its submission to XXX, please let us know as soon as possible. Please refer to the manuscript number listed above in any correspondence (you can just reply to this message). Your manuscript is now undergoing an initial screening to determine whether it will be sent for in-depth review. We will notify the corresponding author of our decision as soon as possible.
想来,我该把我的主办的研讨会也写个记录了。 Sparkling synergies: bringing research and practice together Conference of the “American Society for Information Science Technology”, held from October 28 October till November 2 2005 (Charlotte, NC, USA). Keynote speakers: Matthew Szulik (Red Hat: Linux) and Pattie Maes (Flemish female scientist working at MIT – Multimedia Lab and one of the “100 Americans to watch for” according to Newsweek ; I wrote an article about software agents with her (in Dutch)). Besides these keynote presentations there were a number of social activities, among which the most important one was the awarding of some prestigious prizes. Yue Weiping received the ASIST award of best doctoral dissertation of the year. I am very happy for her. There were further 60 talks and panel discussions. They dealt with the following subjects: information behavior, foundations of information science, social informatics, interface design, multimedia, information resources, scholarly work and scientific communication, methods for studying online searching, digital libraries, standards, information organization, information science education, medical information, knowledge management and international issues in digital libraries. There were also more than 50 poster presentations. I gave a talk under Scholarly Work and Scientific Communication , with as title “Q-measures for binary divided networks: an investigation within the field of informetrics”. The conference proceedings are available on CD-ROM (I have a copy). Many Chinese studying or living in the USA and Canada were present, and also some from Mainland China and Taiwan. Most of them are not working in quantitative research so I do not know them. The ones I do know or talked to at the conference are: Yue Weiping (now ISI Beijing), Zhao Dangzhi (living now in Canada), Chu Heting, Fu Xin (male student at Chapel Hill, formerly Peking University where he attended a talk by me) and Hu Xiao (female student at University of Illinois, student of Qiu Junping).
Plagiarism is incredibly common — 40% of students admit to doing it in written assignments4. Some offenders rationalize the practice by claiming ignorance about what distinguishes acceptable paraphrasing from plagiarism, or by complaining that “ there are only so many ways to say the same thing ”. Providing a footnote to verbatim text won’t suffice. 文中标示出来的句子中的only是什么意思?整句话是什么意思? 凭感觉,这句话应该是: 说同一个东西,就那么几种表达方式,我还能变出什么别的花样来? 原文见 任先生博文提供的 附件。 谢谢xiaohong, zuojun等,也谢谢任先生提供的一样理解。
JOHN L. DANIELS University of North Carolina at CharlotteCharlotte, NC SALLY L. WOOD Santa Clara UniversitySan Jose, CA and SUSAN C. KEMNITZER Directorate for Engineering Division of Engineering Education and Centers Arlington, VA APPENDIX Engineering education directly supports the nation’s capacity for economic growth, infrastructure renewal, and security, as well as environmental and human health. Numerous reports haverecommended federal support to advance our understanding of how students learn, how facultyteach, and how teaching and learning are assessed. The U.S. National Science Foundation (NSF)funded eight Engineering Education Coalitions comprising 49 universities from 1990 to 2005 toencourage implementation of report findings. The NSF Department Level Reform (DLR) programwas designed to build on the efforts of the coalitions with funding provided to 20 universitiesto reformulate and update their engineering programs from 2004-2008. In this paper, the authors provide a brief summary of the coalition effort, an overview of the DLR program, highlightsfrom selected DLR implementation efforts and comments on future directions of engineeringeducation and research. Keywords: Department level reform, National Science Foundation INTRODUCTION The state of research and practice in engineering education is the result of many individuals and organizations. Jesiek et al. (2009) provided a summary of the history and origins of U.S. engineering education research, noting the intertwined influence of key authors, reports and activities, many of which were associated with the National Academies, National Science Board, National Science Foundation, ABET Inc., Engineering Deans Council and American Society of Engineering Education. Seely (2005) has summarized changes in the practice of engineering education, noting thatperiodic calls for reform have been documented since the latter part of the nineteenth century. Aconvergence of such calls in the late 1980s (e.g., NRC 1985, NSB 1986, ASEE 1986, 1987, ABET 1986)led to the Belmont Conference (Willenbrock 1989) at which significant federal investment into “thedevelopment of consortia of educational institutions” was recommended “as a national imperative.” In response, the Division of Engineering Education and Centers within the Directorate for Engineering (EEC/ENG) and Division for Undergraduate Education in the Directorate for Education and Human Resources (DUE/EHR) at the NSF developed a program to fund several multi-institution Engineering Education Coalitions (NSF 1989). This funding model was changed in 2002 to focus on department level reform at individual institutions. The primary purpose of this manuscript is to provide an overview of the Department Level Reform (DLR) program. This manuscript also briefly summarizes the Engineering Education Coalitions program because it immediately preceded and influenced the DLR program. Background discussion is limited to the coalitions and DLR, although other NSF investments through the EEC/ENG Engineering Research Centers (ERC) program, various programs in the DUE/EHR (e.g., Course, Curriculum, and Laboratory Improvement (CCLI)) as well as other federal support (e.g., Department of Education Fund for the Improvement of Postsecondary Education (FIPSE)) have all contributed to the development of engineering education. 原文见 http://advances.asee.org/vol02/issue04/papers/aee-vol02-issue04-p03.pdf
i.e. 是拉丁文 id est 的缩写,它的意思就是“那就是说,换句话说”,等同于“that is,in other words” ,目的是用来 进一步 解释前面所说的观点。 e.g. 是拉丁文 exempli gratia 的缩写,它的意思是“举个例子,比如”,等同与“for example”,目的就是用几个例子来说明前面的观点。 etc.就比较好理解了,它是 etcetera 的缩写,意思是“等等”,相当于“and so on” e.g. 和 etc. 不能出现在同一句话中,因为 e.g. 是表示泛泛的举几个例子,并没有囊括所有的实例,其中就已经包含“等等”,如果再加一个 etc. 就画蛇添足了,例如下面这句话就是错的: Writing instructors focus on a number of complex skills that require extensive practice (e.g., organization, clear expression, logical thinking, etc.)
(I just want to do some practice to improve my poor English. Wish everyone help me!) One of my favorite books is Dream of the red chamber by Cao Xueqing, a very famous book in the world, which is one of Chinese Four Great Classical Novels. A lot of people have studied the book since it came out. There are many arguments about the main idea of the book; however, they do not hamper us to read it because we need to have our own opinions. What I appreciate most is the beautiful love descriptions in the book, so I'd prefer to treat it as a novel of love. With many different kinds of love in the dream, the author mainly describes the love story of Bao, Dai and Chai, the most important three people of hundreds of characters in this book. Every one of Twelve Beauties in Jinling represents a kind of love which Corresponding to a fate. Through these descriptions of different kinds of love, the author try to tell us that there are only one kind which should be considered as true love. As a reader of the stories which are unfolding in the novel, you should know the characteristics of the different kinds of love, and should be able to distinguish true love from the other kinds. True love should be mutual and without any post conditions but not be possessive and taking without giving, just like the love between Bao and Dai beautiful but sad. Of course, the book also contains many other wonderful points besides love. There are a lot of excellent writings about people’s clothing and daily life for ancient times in this book, which is very detailed and full of historical significance, so you will like the novel if you like history. We can say that it is not only a book but a precious deposit, because you can get a lot from it. In this book, you can enjoy great stories and taste what is the essence of love. Among the words and between the lines, you can find the great charm of our country. I hope more people can read this book “Dream of the red chamber”. Wish you can dig out many useful things belonging to your own from it.
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Good Laboratory Practice Regulations Third Edition, Revised and Expanded Sandy Weinberg ISBN: 0824708911 | Year 2003 | English 264pages | pdf | size:2,83Mb Exploring the role of Good Laboratory Practices (GLP) in the assurance of safety, quality, and control in regulated arenas, this reference details specific standards and general guidelines for the management of efficient and effective research environments-presenting essential theoretical principles for anticipating new and emerging interpretations of GLP in a variety of laboratory settings. The Third Edition of Good Laboratory Practice Regulations contains current material on the utilization and implementation of 21 CFR Part 11 guidelines for LIMS and other computerized laboratory system? the effects of automation of GLP practices??and the application of GLP standards to non-GLP laboratories??and analyzes GLP enforcement??the FDA`s GLP Inspection Program??the ability of GLP to advance along with the ever-changing functions of laboratory operation, supervision, and maintenance??and the impact of GLP on research, production, and clinical testing. Table of Contents: Historical Perspective by Jean M. Taylor and Gary C. Stein FDA/ GLP Regulations by Wendell A. Peterson Applying 21 CFR Part 11 to the Laboratory Environment by Sandy Weinberg The Good Automated Laboratory Practices by Gerald J. Whartenby, Paul L. Robinson, and Sandy Weinberg Implementing GLPs in a Non-GLP Analytical Laboratory by Stephanie A. Olexa Computer Systems Validation by Sandy Weinberg The FDAs GLP Inspection Program by George W. James The Future by Sandy Weinberg Bibliography Index Download: Good Laboratory Practice Regulations,Third Edition