Who's fault is it? I am not talking about going over time for 5-10 mins. I am talking about going over time for more than 20 mins! The speaker should respect his audience, so should the seminar chair. When it's one-hour seminar, the speaker should leave 15 mins for the audience. If you cannot do that, then at least do not go beyond one hour...
Someone needs work done fast, and someone needs work. I am six hours ahead of my clients in China, and my subcontractor on the east coast is six hours ahead of me. For the first time, I am really enjoying the time difference!
For a long time, I had long hair, because it's easier (and cheaper) to maintain. Then, in summer 2010 I was forced to get a fashionable short haircut in Qingdao. I was glad to have short hair in hot summer in China, which also made washing easier. But, the cost to maintain it is high (if you go to a decent hair salon in Kahala). Yesterday, a friend reminded me what we looked when we were younger, seven years younger, by sending me a picture taken at the Pali Lookout in 2005. OMG, I for the first time wish I had long hair.
【介绍一下】：老马是我师兄，数学出生，灰常牛，球也踢的很好~~ 原文地址：http://physics.aps.org/synopsis-for/10.1103/PhysRevLett.107.238701 Synopsis: You Don’t Cite Me Anymore M. Medo et al. , Phys. Rev. Lett. (2011) Temporal Effects in the Growth of Networks Matúš Medo, Giulio Cimini, and Stanislao Gualdi Phys. Rev. Lett. 107 , 238701 (2011) Published December 1, 2011 Simple models of citation statistics assume that highly cited papers have a better chance of being cited in new papers. However, this preference does not last very long, as evidenced in a new study in Physical Review Letters that examines data from American Physical Society (APS) journals. The authors show that citation models perform better when they account for the way the relevance of a paper decays with time. As scientists well know, not all papers get cited equally. An often-cited work typically attracts more citations, reflecting the economic maxim of “the rich get richer.” This so-called preferential attachment should yield a smooth power-law distribution in the number of citations to each paper, but literature studies reveal a greater complexity, in part because papers age. Classic treatises from Einstein or Hawking, for example, are no longer cited as they once were. The same is true for other growing networks like the internet, where old web pages attract fewer and fewer links. Matúš Medo and his colleagues from the University of Fribourg in Switzerland sought to address this age-dependence. They first investigated the citation statistics of 450,000 papers from APS journals that were published between 1893 and 2009. They found that a paper’s relevance—defined by how many new citations it receives over a given period—decreases dramatically a few years after its publication. By introducing a decaying relevancy factor, the team produced a generic model that could fit a wide variety of network behavior, including the citation distribution of papers from APS journals. – Michael Schirber
Enya是我最喜爱的女音乐人之一，她的作品凄美空灵，而且永远保持着一份浓郁的爱尔兰风情和忧郁。据说为了制造音乐里她的声音的那种独一无二的效果，每唱一首歌她都会录几十遍，然后她专用的录音师再一层一层把声音叠加起来。 在有歌词的作品里，我最喜欢她的Only Time，还曾经试着把它翻译成中文（歌词和译文以及MV链接在下面）。这首歌收录在Enya2000年出版的A Day without Rain里，当时非常流行，记得后来911事件发生后相当长一段时间，美国的电台电视里放得最多的可能也是这首歌。 有些感情，需要时间的沉淀。有些创伤，需要时间来埋葬。有些难题，只有时间知道答案。 音乐链接： http://www.enya.com/videos.php?vid=k Only Time Who can say where the road goes where the day flows only time And who can say if your love grows as your heart chose only time Who can say why your heart sighs as your love flies only time And who can say why your heart cries when your love lies only time Who can say when the roads meet that love might be in your heart And who can say when the day sleeps if the night keeps all your heart Night keeps all your heart Who can say if your love grows as your heart chose only time And who can say where the road goes where the day flows only time Who knows - only time 只有时间 谁可以说出 路会通向何方 时光如何流淌 只有时间 谁又可以说出 爱会不会生根发芽 如你所愿 只有时间 谁可以说出 心为什么会叹息 当爱在飞逝 谁又可以说出 为什么心会哭泣 当爱已不再真实 只有时间 谁可以说出 在路相交的一刻 或者爱 已在你心中 谁又可以说出 当白天已经睡去 夜幕降临 你的心可以依然完整 夜幕里 心依然完整 谁可以说出 爱会不会生根发芽 如你所愿 只有时间 谁又可以说出 路会通向何方 时光如何流淌 只有时间 谁会知道- 只有时间 照片来源：enya.com
10 Common Time Management Mistakes Avoiding Common Pitfalls http://www.mindtools.com/pages/article/time-management-mistakes.htm#np How well do you manage your time? If you're like many people, your answer may not be completely positive! Perhaps you feel overloaded, and you often have to work late to hit your deadlines. Or maybe your days seem to go from one crisis to another, and this is stressful and demoralizing. Many of us know that we could be managing our time more effectively; but it can be difficult to identify the mistakes that we're making, and to know how we could improve. When we do manage our time well, however, we're exceptionally productive at work, and our stress levels drop. We can devote time to the interesting, high-reward projects that can make a real difference to a career. In short, we're happier! In this article, we're looking at ten of the most common time management mistakes, as well as identifying strategies and tips that you can use to overcome them. These ten mistakes are: Mistake #1. Failing to Keep a To-Do List Do you ever have that nagging feeling that you've forgotten to do an important piece of work? If so, you probably don't use a To-Do List to keep on top of things. (Or, if you do, you might not be using it effectively!) The trick with using To-Do Lists effectively lies in prioritizing the tasks on your list. Many people use an A - F coding system (A for high priority items, F for very low priorities). Alternatively, you can simplify this by using A through D, or by using numbers. If you have large projects on your list, then, unless you're careful, the entries for these can be vague and ineffective. For instance, you may have written down "Start on budget proposal." But what does this entail? The lack of specifics here might cause you to procrastinate, or miss key steps. So make sure that you break large tasks or projects down into specific, actionable steps - then you won't overlook something important. You can also use Action Programs to manage your work when you have many large projects happening at once. (Action Programs are "industrial strength" versions of To-Do Lists.) Mistake #2. Not Setting Personal Goals Do you know where you'd like to be in six months? What about this time next year, or even 10 years from now? If not, it's time to set some personal goals! Personal goal setting is essential to managing your time well, because goals give you a destination and vision to work toward. When you know where you want to go, you can manage your priorities, time, and resources to get there. Goals also help you decide what's worth spending your time on, and what's just a distraction. To learn how to set SMART, effective goals, read up on Locke's Goal Setting Theory . Here, you'll learn how to set clearly defined goals that will keep you motivated. You might also enjoy our Book Insight into " Long Fuse, Big Bang " by Eric Haseltine. This book teaches you how to focus on your long-term goals without overlooking your short term priorities. Mistake #3. Not Prioritizing Your assistant has just walked in with a crisis that she needs you to deal with right now, but you're in the middle of brainstorming ideas for a new client. You're sure that you've almost come up with a brilliant idea for their marketing campaign, but now you risk losing the thread of your thinking because of this "emergency." Sometimes, it's hard to know how to prioritize , especially when you're facing a flood of seemingly-urgent tasks. However, it's essential to learn how to prioritize tasks effectively if you want to manage your time better. One tool that will help you prioritize effectively is the Urgent/Important Matrix . This helps you understand the difference between urgent activities, and important activities. You'll also learn how to overcome the tendency to focus on the urgent. The Action Priority Matrix is another useful tool, which will help you determine if a task is high-yield and high-priority, or low-value, "fill in" work. You'll manage your time much better during the day if you know the difference. You might also want to go through our Bite-Sized Training Class, How to Prioritize , to further enhance your skills. Mistake #4. Failing to Manage Distractions Do you know that some of us can lose as much as two hours a day to distractions? Think how much you could get done if you had that time back! Whether they come from emails, IM chats, colleagues in a crisis, or phone calls from clients, distractions prevent us from achieving flow , which is the satisfying and seemingly effortless work that we do when we're 100 percent engaged in a task. If you want to gain control of your day and do your best work, it's vital to know how to minimize distractions and manage interruptions effectively. For instance, turn off your IM chat when you need to focus, and let people know if they're distracting you too often. You should also learn how to improve your concentration , even when you're faced with distractions. Additionally, our article on managing email effectively teaches you how to gain control of your email, so that it doesn't eat up your entire day. Mistake #5. Procrastination Procrastination occurs when you put off tasks that you should be focusing on right now. When you procrastinate, you feel guilty that you haven't started; you come to dread doing the task; and, eventually, everything catches up with you when you fail to complete the work on time. Start by taking our Procrastination Quiz to find out if procrastination is a problem in your life. If it is, then learn the strategies you need to beat procrastination . For instance, one useful strategy is to tell yourself that you're only going to start on a project for ten minutes. Often, procrastinators feel that they have to complete a task from start to finish, and this high expectation makes them feel overwhelmed and anxious. Instead, focus on devoting a small amount of time to starting. That's all! You might also find it helpful to use Action Plans . These help you break large projects down into manageable steps, so that it's easy to see everything that you need to get done, and so that you can complete small chunks at a time. Doing this can stop you from feeling overwhelmed at the start of a new project. Tip: Our Bite-Sized Training session, Overcoming Procrastination , gives you more in-depth strategies and tips for dealing with procrastination. Mistake #6. Taking on too Much Are you a person who has a hard time saying "no" to people? If so, you probably have far too many projects and commitments on your plate. This can lead to poor performance, stress, and low morale. Or, you might be a micromanager : someone who insists on controlling or doing all of the work themselves, because they can't trust anyone else to do it correctly. (This can be a problem for everyone - not just managers!) Either way, taking on too much is a poor use of your time, and it can get you a reputation for producing rushed, sloppy work. To stop this, learn the subtle art of saying "yes" to the person, but "no" to the task . This skill helps you assert yourself, while still maintaining good feelings within the group. If the other person starts leaning on you to say "yes" to their request, learn how to think on your feet , and stay cool under pressure. Mistake #7. Thriving on "Busy" Some people get a rush from being busy. The narrowly-met deadlines, the endless emails, the piles of files needing attention on the desk, the frantic race to the meeting... What an adrenaline buzz! The problem is that an "addiction to busyness" rarely means that you're effective, and it can lead to stress. Instead, try to slow down, and learn to manage your time better. Tip: "Do More Great Work", by Michael Bungay Stanier, is full of ideas and tips to reduce the "busywork" that you're doing, so that you're more excited and engaged in the work that matters. Click here for our Book Insight on it. Mistake #8. Multitasking To get on top of her workload, Linda regularly writes emails while she chats on the phone to her clients. However, while Linda thinks that this is a good use of her time, the truth is that it can take 20-40 percent more time to finish a list of jobs when you multitask, compared with completing the same list of tasks in sequence. The result is also that she does both tasks poorly - her emails are full of errors, and her clients are frustrated by her lack of concentration. So, the best thing is to forget about multitasking , and, instead, focus on one task at a time. That way, you'll produce higher quality work. Our Expert Interview with Dave Crenshaw, looking at The Myth of Multitasking , will give you an enlightening look at multitasking, and will help you explore how you can manage simultaneous projects more effectively. Mistake #9. Not Taking Breaks It's nice to think that you can work for 8-10 hours straight, especially when you're working to a deadline. But it's impossible for anyone to focus and produce really high-quality work without giving their brains some time to rest and recharge. So, don't dismiss breaks as "wasting time." They provide valuable down-time, which will enable you to think creatively and work effectively. If it's hard for you to stop working, then schedule breaks for yourself, or set an alarm as a reminder. Go for a quick walk, grab a cup of coffee, or just sit and meditate at your desk. Try to take a five minute break every hour or two. And make sure that you give yourself ample time for lunch - you won't produce top quality work if you're hungry! Mistake #10. Ineffectively Scheduling Tasks Are you a morning person? Or do you find your energy picking up once the sun begins to set in the evening? All of us have different rhythms, that is, different times of day when we feel most productive and energetic. You can make best use of your time by scheduling high-value work during your peak time, and low-energy work (like returning phone calls and checking email), during your "down" time. Our article, Is This a Morning Task? will teach you how to do this. Key Points One of the most effective ways of improving your productivity is to recognize and rectify time management mistakes. When you take the time to overcome these mistakes, it will make a huge difference in your productivity - and you'll also be happier, and experience less stress!
Answer: It is commonly thought that BC stands for before Christ and AD stands for after death. This is only half correct. How could the year 1 B.C. have been before Christ and 1 A.D. been after death? BC does stand for before Christ. AD actually stands for the Latin phrase anno domini which means in the year of our Lord. The B.C. / A.D. dating system is not taught in the Bible. It actually was not fully implemented and accepted until several centuries after Jesus' death. It is interesting to note that the purpose of the BC / AD dating system was to make the birth of Jesus Christ the dividing point of world history. However, when the B.C. / A.D. system was being calculated, they actually made a mistake in pinpointing the year of Jesus' birth. Scholars later discovered that Jesus was actually born in around 4-6 BC, not 1 AD. That is not the crucial issue. The birth, life, ministry, death, and resurrection of Christ are the turning points in world history. It is fitting, therefore, that Jesus Christ is the separation of old and new. BC was before Christ and since His birth, we have been living in the year of our Lord. Philippians 2:10-11 , That at the name of Jesus every knee should bow, in heaven and on earth and under the earth, and every tongue confess that Jesus Christ is Lord, to the glory of God the Father. From http://www.gotquestions.org/BC-AD.html Blogger: So, scientists have lost in terms of the world's dating system.
Onthe bank of River Rhine I stood Blue was the distant forest I saw across the river in the opposite side From the Rhine to Ethiopian highland I traveled from the future to the past Time is blue Memory is in mist
Everybody knows what a bank is, right? Wrong! At least I didn't know what a time bank was until a few minutes ago... A few weeks ago, I contributed to a food bank . And this morning, I walked past a blood bank booth.
http://www.transinsight.com/ Time is money. Save it! Transinsight provides solutions for intelligent semantic searching. Our Enterprise Semantic Intelligence product suite covers all corporate search and information handling needs of small and medium size companies up to multinational enterprises like BASF, Unilever, Roche, Statoil and RWE. Profit from the advances of Transinsight's Semantic Access and Storage Architecture and save up to 90% of your valuable time. Discover values through better accessing data and determine hidden knowledge through exceptional semantic indexing and unparalleled navigation. Improve fact-finding with federated semantic enterprise wide search and benefit from integration of structured and unstructured data. Learn more about Transinsight's Enterprise Semantic Intelligence Knowledge Suite .
最近跟风 Nobel Prize ，去 The Nobel Foundation 的官方网站 http://nobelprize.org 看了看，发现 Nobel 经济奖与时间序列分析有关系。 在 The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2003 里 写着： http://nobelprize.org/nobel_prizes/economics/laureates/2003/index.html for methods of analyzing economic time series with time-varying volatility (ARCH) Robert F. Engle III ( November 10, 1942 ) for methods of analyzing economic time series with common trends (cointegration) Clive W.J. Granger (September 4, 1934 May 27, 2009) 这两位得主都是研究 analyzing economic time series 的。所以采用复杂时间序列分析新方法进行经济学研究（属于经济计量学 econometrics ），是有可能获得诺贝尔经济学奖。 Robert F. Engle III 研究的是：自回归条件异方差 (autoregressive conditional heteroskedasticity) 。 Clive W.J. Granger 研究的是：共整合 (cointegration) 。 他还是组合预测（ The combination of forecasts ）方法的主要提出者之一。 参考文献 ： Robert F. Engle, http://weber.ucsd.edu/~mbacci/engle/index.html Clive W.J. Granger, http://www.econ.ucsd.edu/~cgranger/ The combination of forecasts, with J. Bates, Operational Research Quarterly , 20, 1969, 451-468. http://dss.ucsd.edu/~cgranger/pubs.html 欢迎补充！ 欢迎纠正本博文的任何错误！ 相关链接： 《什么样的人品得到诺贝尔经济奖》 http://www.sciencenet.cn/m/user_content.aspx?id=265938
参考文献： Microarray data analysis and mining approaches Francesca Cordero , Marco Botta and Raffaele A. Calogero Corresponding author: Raffaele A. Calogero, Department of Clinical and Biological Sciences, University of Torino, Italy. Briefings in Functional Genomics and Proteomics 2008 6(4):265-281; doi:10.1093/bfgp/elm034 Although two-sample differential expression analysis is probably the most common experiment, multi-series time-course microarray experiments are useful approaches for exploring biological processes. In these types of experiments, the researcher is frequently interested in studying gene expression changes over time and in evaluating trend differences between the various experimental groups . The large amount of data, multiplicity of experimental conditions and the dynamic nature of the experiments pose great challenges to data analysis. A comprehensive review of research in time series expression data analysis was published by Bar-Joseph in 2004 . Recently, maSigPro Conesa has published two methods for time-course microarray data analysis . One is maSigPro , and is part of Bioconductor packages. ...This will ultimately be used to find what are the profile differences between experimental groups. ANOVA-SCA The other is ANOVA-SCA and combines ANOVA-modeling and a dimension reduction technique to extract targeted signals from data bypassing structural noise. ANOVA-SCA basically applies PCA to the estimated parameters in each source of variation of an ANOVA model. ANOVASCA seems an effective approach for separating the data variability present in a complex time course experiment to extract the signal of interest from noisy data . fully Bayesian approach Angelini and coworkers have recently described a fully Bayesian approach to detect differentially expressed genes in time-course experiments. Their approach allows to explicitly use biological prior information and deals with various technical difficulties that arise in microarray timecourse experiments such as a small number of observations, non-uniform sampling intervals, missing or multiple data and temporal dependence between observations for each gene. Authors compared their method with that implemented in R-package time course and in the EDGE software claiming that their algorithm provides results which are much closer to a biologists choice and delivers a lower percentage of false positive and negative answers than other algorithms . Fischer and coworkers have compared methods for identifying differentially expressed genes on time-series microarray data simulated from artificial gene networks. They suggest the use of ANOVA variants of Cui and Churchill on the bases of simulated data and Efron and Tibshiranis empirical Bayes Wilcoxon rank sum test in the case experimental background cannot be effectively corrected. CHPM Shi has instead proposed an approach, based on a probabilistic continuous hidden process model ( CHPM ), to identify the various biological processes involved in a specific biological experiment. This method integrates time series expression data with GO biological processes , modelling the observed gene expression levels as being generated by a combination of multiple GO biological processes whose activity levels vary over time. OTHER TOOLs： STEM Short Time-series Expression Miner (STEM) (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. DREM Dynamic Regulatory Events Miner (DREM) takes as input time series gene expression data and input that associates transcription factors with the genes they regulate . This regulatory information could come from Chromatin Immunoprecipitation (ChIP)-chip experiments or transcription factor binding site motif information. The transcription-factor gene regulation input does not need to be associated with specific time points. DREM after executing a computational method described in outputs an annotated dynamic regulatory map based on the data that can be interactively explored. The dynamic regulatory map highlights bifurcation events in the time series, that is places in the time series where sets of genes which previously had roughly similar expression level diverge. Often these bifurcation events can be explained by transcription factors selectively regulation a certain subset of genes. DREM annotates these events with transcription factors potentially responsible for them. DREM is related to another time series expression analysis software the Short Time-series Expression Miner ( STEM ) . While STEM focuses on identifying independent significant patterns in short time series data , DREM provides a global map of the gene regulation of the time series . The DREM method also incorporates in transcription factor-gene regulation information. DREM also is not limited to analyzing short time series data as STEM is. Some of the input file formats and options are the same in DREM as in STEM, in particular options related to gene filtering and the Gene Ontology analysis. For these aspects of DREM which are the same as in STEM, the relevant portions of the STEM manual have been incorporated into this manual. BiGGEsTS An integrated environment for the biclustering ( Madeira and Oliveira, 2004 ) analysis of time series gene expression data . Biclusters may be analyzed with Gene Ontology annotations to find out which contain statistically relevant biological information or even filtered or sorted according to several numerical and statistical criteria. 应用举例： STEM Comprehensive transcriptional profiling of NaCl-stressed Arabidopsis roots reveals novel classes of responsive genes Yuanqing Jiang and Michael K Deyholos* Address: Department of Biological Sciences, University of Alberta, Edmonton, Canada BMC Plant Biology 2006, 6:25 doi:10.1186/1471-2229-6-25 用STEM做了聚类，然后以GOTerm为层次标注各term中包含哪些cluster，有几个。 Combined analysis reveals a core set of cycling genes Yong Lu 1 , Shaun Mahony 2 , Panayiotis V Benos 2 , Roni Rosenfeld 3 , Itamar Simon 4 , Linda L Breeden 5 and Ziv Bar-Joseph 1 ,3 1 Department of Computer Science, Carnegie Mellon University, Forbes Avenue, Pittsburgh, Pennsylvania 15213, USA 2 Department of Computational Biology, University of Pittsburgh Medical School, Lothrop Street, Pittsburgh, Pennsylvania 15213, USA 3 Machine Learning Department, Carnegie Mellon University, Forbes Avenue, Pittsburgh, Pennsylvania 15213, USA 4 Department of Molecular Biology, Hebrew University Medical School, Jerusalem, Israel 91120 5 Basic Sciences Division, Fred Hutchinson Cancer Center, Fairview Avenue N, Seattle, Washington 98109, USA Genome Biology 2007, 8 : R146 doi:10.1186/gb-2007-8-7-r146 用STEM做了GO的显著性检验，P值，似乎大材小用 实战 STEM，总结如下： 1.用已经筛出来的差异基因做为输入，另外，用gene symbol来去除冗余（多个探针组对应同一蛋白，可以用UniRef）；GO注释文件也以Gene symbol为ID（GO注释本来就是 注释 蛋白的，而非基因本身），但不可带有基因列表以外的Gene symbol。 2.可选STEM Cluster Method和K-means，设定Cluster数，进行GO Term富集分析。
当幸福来敲门的时代来临了 The time of Pursuit of Happiness 历史会重演，历史也正在重演 ！就好像经济危机一样，反复循环 。面对当前的形势， 电影《当幸福来敲门》正是部很符合眼下的励志片。 很多的励志影片，阿甘，美丽心灵，肖申克的救赎，等等，此片正是需要眼下看的。励志题材的故事大抵都离不开这样的模式比如窘迫的处境、艰难的奋斗、没完没了的倒霉事 然后便会出现戏剧化的一丝机遇 虽然《当幸福来敲门》也不能落入俗套，也虽然这部电影没有靓丽的男女主演，没有唯美的画面与动人的背景音乐，但却仍不乏拥有一个好故事，并且，是一个足以将人打动的好故事。 电影简介： 1981 年。旧金山。 克里斯 加德纳是个聪明的医疗器械推销员，但在次经济萧条时期，他的日子很不好过。虽然每天奔波于各家医院和诊所，卖出一台仪器，可以当一个月的伙食。但医生们对他的骨密度扫描仪根本不感兴趣，因为这台仪器要比 X 光扫描仪贵出两倍。 这种不安定的生活已经影响到家庭的和睦，最终妻子琳达忍受不了经济上的压力，无法继续忍受艰难的生活，离开了克里斯，撇下他和 5 岁的儿子克里斯托夫相依为命。但加德纳父子两人的背运还没有结束，他们因为缴不起房租而被房东扫地出门，有时甚至要在地铁的卫生间里过夜。这时候克里斯银行帐户里只剩下 21 块钱，因为没钱付房租，他和儿子被撵出了公寓。 克里斯决心转行为有机会获得高收入的证券经纪人，费尽周折克里斯赢得了在一家声名显赫的股票投资公司实习的机会。他的努力和智慧打动了证券公司的经理杰 特维斯图，通过了初试，但是实习期间没有薪水，而且最终只有一人可以成功进入股票投资公司。为了通向幸福之路，克里斯决定走下去。此后的半年实习期加德纳父子的生活将更加艰难，因为实习期没有工资，而 20 个实习生中只有一个能留下来。他们暂时还得依靠那几台骨密度扫描仪过活为了省钱，每天晚上克里斯带着儿子去住收容所，吃饭靠领救济，他因交不上房租，而不得不义务粉墙；他因没钱交汽车罚单，而不得不在警察局里过夜；他因无处可去，而不得不抱着儿子在厕所过夜；他甚至不得不在下班后狂奔，那只为排队获得进收容所的机会但这些并没有摧毁父子间的亲情与他们的信念，他相信幸福总会落到自己的身上。而在复试中，因为出师不利，克里斯不得不穿着粉刷工的衣服来到面试现场。但只念过高中的他决心极大，最终，公司的几位合伙人还是觉得给他一个机会比较好，于是，他成为 20 个实习生之一。 凭借过人的智慧，与勤恳的努力，虽然面对了太多太多的 不得不 ，最终让克里斯 加德纳在获得工作机会的那一刻感到了莫大的幸福时刻 反复含着心酸的眼泪看着影片，含着幸福的眼泪结束影片的观赏 ! 这些让 我们有理由相信： Don't ever let somebody tell you ， you can't do something- 别让别人跟你说，你成不了大器； You got a dream,you have to pretend it- 你有梦想的话，就必须保护它； People can't do something themselves ， they wana tell you can't do it- 那些自己没有成才的人会说你也不能成才； You want something ， go get it- 你想要什么的话 , 就得努力去得到。 幸福到底是什么？人的一生能体验到多少份量的幸福，其实关键在于你对人生所持的态度。你认为尽责任是一种幸福，你就有了幸福的体验；你认为知足是一种幸福，你就有了知足常乐的幸福体验；你认为平淡简朴是一种幸福，你就有了比别人多得多的幸福体验。每个人在心中都有自己的幸福标准，只要达到了这个标准，你就是幸福的。别人的幸福不一定是你所想要的，而你的幸福别人或许也未必认同。幸福是一件私有产品，只有自己才能体会那片刻的快乐。如果非要给幸福下个定论。我觉得无非有两种：一是你拥有完美的生活；一是做你最喜欢的事情。 不管你的生活是多么的残酷，要对生活重新燃起希望！活在希望中的人们是幸福的！ 面对目前的经济不乐观和政治活跃等等的形势，我们有多少幸福？此外，黑人奥巴马当选美国总统所经历的曲曲折折，也会有幸福来敲门的时刻吧！这不仅是美国历史上，也是世界上的活生生的一个教材吧！ 电影当幸福来敲门： The Pursuit of Happiness 中所述的即是非常合适的场景 。 就像温家宝总理在前几天两会上说的那样：只有信心才能产生勇气和力量！ 也许，你时下找工作不如意，也许你目前收到了不少挫折，也许你的学业、生活、感情等等不顺利无论如何，你不可以没有梦想，要坚定我们的信念，坚信我们的幸福，拼搏加坚持就会成功！
标签: time
