“跌倒了，算什么，爬起来，再创业”——有感于褚时健85岁成为亿万富翁

往事并非如烟。如我辈之当代人，对褚时健这个名字十分熟悉。一代“烟王”，名震神州。30年前，褚时健曾出任云南玉溪卷烟厂厂长，历经20年的打拼，他将一个濒临倒闭的小烟厂打造成亚洲独占鳖头的云烟托拉斯。对烟民而言，“吞云驾雾，胜似神仙”；褚时健则靠着云烟的品牌成为一代枭雄!天有不测风云，人有旦夕祸福。褚时健临近退休时，却因贪污巨款而倒在了“孔方兄”的胯下，折戟沉沙，锒铛入狱。铁窗中的褚时健，仰望星空，闭门思过．忧虑过度，终染沉疴，于75岁时，保外就医。     

凤凰岭雅集赋

京西有山，名凤凰岭，自古为京都胜地。山坳藏佛寺。峰巅矗道观，向为文人学士访道参禅之幽区。更有一渠自西东引，渠右桃红李白，渠左稻香蛙鸣，一片江南。行行白杨，掩映些古村落，犹闻鸡犬之声，排排广厦。组成个航天城，可探宇宙之穷。山间小径时遇幽人，原野宽途往来华车，此海淀后山之大观也。君不见，六环边上，大觉寺旁，桃林深处，山溪之畔，     

名人“药方”难成“经国之大业”

一位著名画家接受记者访谈时，在《光大传统文化，抵御后现代主义消极影响》的主题下，提出很多具有真知灼见的意见，诸如“中国文化的发展振兴，首先要继承中华文化精华的部分，使之充分发展，不断创新，我们才有一个健康的文化振兴”。可是，通读全篇，细细品味，窃以为，也有一些说法不好“消化”，宛如一副“中药”的“配伍禁忌”。不揣浅陋，求教于“大家”。     

当代大学生热衷研读“厚黑学”现象透视

因为人到中年，我家有儿子正上大学，即将毕业走向职场，走向社会。因此，对于目前流行于社会、学校和家庭中的所谓“励志江湖”、“职场宝典”、“做人与处世”之类的书籍，比较关注。可是。近些年来。此类书籍，可谓五花八门，令人目不暇接，而备受家长推崇的所谓“教子经”也是五彩缤纷的，让人眼花缭乱。莫衷一是。不过。这几年笔者所浏览的各类“职场经”和“教子经”，尽管形形色色，但是并不“出格”，只不过仁者见仁，智者见智罢了。     

李金华：“真言勇士”的谢幕箴言

审计署长李金华是一个敢说真话的人。他自比为“国家的看门狗”，在老百姓中有极好的口碑。他替纳税人看着管理国家的部委怎么花钱，他和他的战友们恪尽职守，帮助咱们老百姓看好共用的“钱袋子”。审计署长这个部级“大官”，名声好听,其实是个极易得罪人的差事。李金华在位10年，铁面无私，敢讲真话，享誉“真言勇士”的雅号，自有其因。他在离任感言中动情地说，“我在工厂的时候，全厂职工拼死拼活，干一年，最多有二三百万元的利润。1985年，我到了审计机关，一看，有些部门一出问题就是几百万、几千万，心里很不平衡。当时,我就有一种无形的压力，用四个字来说，就是‘我的责任’。”     

福建省高速公路建设管理系统的构建与应用

交通建设管理涉及多个工程参建单位，众多工作岗位。由于环节多，现场条件制约，很多情况下工作耽误在流程过程中，影响工作效率。信息化管理避免了人为因素造成工作的随意性，规范了工作程序；工程建设管理主要业务网上作业，可以通过信息实时流转，方便异地办公。进入二十一世纪后，我们充分认识到，要全面提高高速公路建设的整体管理水平，必须要坚持改革创新，进一步依靠科技提升管理水平，依靠科技提高投资效益，依靠科技保证工程质量，依靠科技强化现代化管理模式，尽快实现高速公路建设整体水平的飞跃。     

“借我借我一双慧眼吧……”

日前，“被别人忽悠又忽悠别人”的著名小品演员范伟，“因代言涉嫌欺诈的致富网站而被曝光”；不过，范伟生性老实，态度“贼”好，立马自责，获得谅解。而与之联袂共舞的另外两位名人，厚黑老道，谙熟沉默是金的招数，装聋作哑，熬过几日，风声过后，天下依然太平。名人代言虚假广告而闹出恶劣影响的丑闻，时有发生，伤疤未好却忘了痛，好像患了“健忘症”。一位国人脸熟的影视演员，为“亿霖”传销做形象代言人，东窗事发，“破财免灾”罢了；     

陈沛的人间搏弈

2003年底，中国网民数量7800万，而在半年前，这个数字还是6800万，显然，中国互联网正处在高速发展期。调查表明，网站75％的访问量来自搜索引擎的推荐。随着搜索服务成为网络广告的方向，互联网进入搜索时代。目前，中国搜索市场规模5亿元人民币，以此速度，三年之内就能成长到20亿元人民币。而以这个速度甚至超出这个速度扩军的人，就是陈沛。2002年上半年，他领军的慧聪搜索还在人们的视野之外，但仅仅一年，便甩下百度，撼动Google在中文搜索领域的地位，并成立中国搜索(http：／／WWW．zhongsou．corn)，推出新闻中心，使整个中国互联网业界充满变数。那么，在这个充满变数的时代，谁能一执牛耳，成为互联网搜索时代的盟主?     

初创企业最好不要去启动需求

在找投资人时，创业者要准备两份商业计划书（BusinessPlan）。一份详细的，20-40页，把准备做什么事，市场前景、规模，竞争对手情况，自身团队情况，目前每个月烧多少钱（burnrate），融资多少，用来干什么等内容详细说清楚。一份简单的，5—10页，全是干货，5分钟能讲完。见面时讲简单的那份。主要说清楚3个问题：用户有何需求，碰到什么问题；你的企业是如何帮助解决问题的，其中包含企业的特点；盈利模式。     

“从心所欲”更要“不逾矩”

李零教授研读《论语》后，有“雷语”传世，“任何怀抱理想，在现实世界找不到精神家园的人，都是丧家狗。”李教授对《论语》不以为然，“此书杂乱无章，淡流寡水，看到后边，前边就忘了，还有很多地方，没头没尾，不知所云，除了道德教训，还是道德教训，论哲理，论文采，论幽默，论机智，都没什么过人之处。”对《论语》的兴衰，更有独到的见解，“近百年来，尊孔批孔，互为因果，互为表里，经常翻烙饼。     

创业投资引领战略性新兴产业发展潮流

国务院批复中关村建设国家自主创新示范区以来，中关村上市公司总数已达209家。近几年，中关村新增的上市公司中，75％以上均获得过创业投资的支持。2010年中关村新增上市公司40家，其中34家曾获创业投资支持；2011年中关村新增上市公司26家，其中16家获得创业投资支持。创业投资在支持示范区企业走向资本市场和做强做大方面已发挥重要作用。     

索英电气：让能源“绿”起来!

艾默生、GE、华为、中兴、比亚迪、台达、长虹、TCL、康佳、雅达等一大批全球知名企业在节能转换装置的应用上都选择了索英电气。作为这个领域的全球老大,索英电气每年可为客户企业减少高达8000多万度的电力开销,相当于每年减排8万多吨CO2。     

大败局：知名企业的失败教训

中国企业的悲哀之处，不在于挫折与失败，而在于迷失自我，最后使自己成了自己的囚徒。     

真实坦诚最能感动读者——读《俞敏洪口述：在痛苦的世界中尽力而为》感言

当在《参考消息》上看到“新东方在美遭投资者集体诉讼”的报道时，我联想起刚刚拜读完的《俞敏洪口述：在痛苦的世界中尽力而为》。2006年9月7日10月45分，美国纽约交易所，     

A New Type of Computer Premium and Its Correlation to Individual Wages

This paper examines statistical correlations between workers?? income levels or wages, and Information and Communication Technology (ICT). The analyzed data set is micro data collected through the Web in 2008 and 2010 by the Research Institute for Socionetwork Strategies. This micro data estimates the rank correlation of income classes with respect to three types of ICT labor service. Next, multiple linear regression functions are estimated for the wage levels with respect to age, sex, years of continuous employment, and three types of ICT labor service over all industries and in the manufacturing industry or service industry. Finally, a multiple regression analysis is conducted for individual utility levels with respect to income, leisure, and three types of ICT labor service. The results show that, first, the coefficients of rank correlation for all pooled data are positive and statistically significant. Second, individual ICT labor services have positive effects on workers?? wage levels, and the partial regression coefficients are statistically significant. Third, the partial regression coefficient of personal computer operation time decreased but the partial regression coefficient of mobile computer operation time related to work increased drastically from 2008 to 2010. Fourth, the use of the personal and mobile computer shifts the utility function upward with respect to income and leisure.     

Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms

The main purpose of this paper is to do a comparative analysis of prediction models using various machine learning techniques. The models will be used to predict whether a movie will be a hit or flop before it is actually released. The techniques used for comparisons are decision tree, random forest (RF), support vector machine, logistics regression, adaptive tree boosting, and artificial neural network algorithms. The major predictors used in the models are the ratings of the lead actor, IMDb ranking of a movie, music rank of the movie, and total number of screens planned for the release of a movie. The results of most models indicated a reasonable accuracy, ranging from 80 to 90%. However, models based on two techniques, RF and logistic regression, achieved an accuracy of 92%. From the results, the most important predictors of a movie’s success are music rating, followed by its IMDb rating and total screens used for release.

     

Data Mining Approach for Direct Marketing of Banking Products with Profit/Cost Analysis

Nowadays, many businesses, such as banks, use direct marketing methods to reach customers to minimize the campaigning cost and maximize the return rate. To achieve this, huge customer data should be analyzed to determine the most appropriate product offer for each customer and the most effective channel to reach her/him. However, since only a very small amount of responses collected from the customers are positive to the offers, the dataset is very imbalanced. This decreases sensitivity ratio of prediction results and makes it difficult to make a successful product and channel selection for the offer. In this paper, we propose a hybrid system, which first classifies the customers to decide if s/he is interested in the offered product, and then clusters them for product and channel suggestions. Experiments with real life banking data show very promising accuracy results for predicting the proper product and channel for the customers. Moreover, cost-profit analysis is also added to this problem. Our experiment results show that the proposed method decreases a fraction of the total profit, but since the decrease in the total cost is very large, there is a huge increase in the overall profit/cost ratio.     

An Interactive Independent Topic Analysis for a Mass Document Review Service

In this paper, we propose an interactive constrained independent topic analysis in text data mining. Independent topic analysis (ITA) is a method for extracting independent topics from document data using independent component analysis. In this independent topic analysis, the most independent topics between each topic are extracted. By extracting the independent topic, managing documents with a large number of text data is easy with document access support systems and document management systems. However, the topics extracted by ITA are often different from the topics a user requests. For the system to be of service to users, an interactive system that reflects the user’s requests is necessary. Thus, we propose an interactive ITA that works for the user. For example, if there are three topics, i.e., topic A, topic B, and topic C, and a user choose the content from topics A and B, a user can merge those topics into one topic D. In addition, if a user wants to analyze topic A in more detail, a user could separate topic A into topics E and topic F. To that end, we define Merge Link constraints and Separate Link constraints as user requests. The Merge Link constraint is a constraint that merges two topics into one topic. The Separate Link constraint is a constraint that separates two topics from one topic. In this paper, we propose a method for extracting a highly independent topic that meets these constraints. We conducted evaluation experiments on our proposed methods, and obtained results to show the effectiveness of our approach.     

The Boosting Effect of E-WOM on Macro-level Consumption: A Cross-Industry Empirical Analysis in Japan

In this study, we carry out an empirical analysis on how electronic word-of-mouth (hereinafter “e-WOM”) marketing on e-WOM websites and electronic-commerce websites on the Internet boosts consumption on a macro-level. In our analysis, we conduct a model analysis of consumer behavior using data composed of more than 30,000 questionnaire surveys and quantitatively find the elasticity coefficient of the boost to consumption by performing a two-step GMM (generalized method of moments), which uses instrumental variables. The results of the analysis show e-WOM significantly increased expenditures in six fields: computers, electrical appliances, etc.; music; hobbies; clothing, accessories, etc.; beauty products, etc.; and goods for everyday life, etc. Furthermore, there was no field that had a significantly negative value. These results showed that, in the majority of the target fields, e-WOM had not only the effect of winning customers from the competition, but also the effect of boosting consumption on a macro-level. In addition, even from people’s subjective evaluations, there were many in all the generational groups who said that e-WOM boosted expenditures.     

Implementation issues in a grid-based multi-agent simulation system used for increasing labor supply

This paper describes issues of implementation for a Grid-based multi-agent simulation used to support decision-makers in making their decisions. Recently, social scientists including sociologists, economists, and social psychologists, have become interested in large- scale multi-agent simulation. However, users who are not familiar with operating large-scale computing resources may have a difficult time implementing these simulations. Therefore, the authors have developed a computing environment with a task-control support framework for a day care center allocation problem. In addition, we show how to implement the Grid-based multi-agent simulation system. In this paper, we examine the effectiveness of the proposed system using experiments with human subjects. By using the proposed prototype system, decision-makers were able to find near optimal solutions without examining all possible tasks.