生命的毁灭与生命的尊严——记奥斯维辛之行

一个民族不为自己犯过的错误和罪行真诚检讨,这个民族就不会进步,一旦有合适的土壤,历史一定会重复自己。     

寻找人类避免失误的密钥

在国外管理跨国公司时，我们要求每个人同样的错误不能重犯。但是到现在，我们还无法要求人们不能重犯其他人犯过的错误。     

叶培贵：奔跑在书法的路上

他温和谦逊。他说自己是个笨人，就是老实写字，因为笨人不敢出格。他把自己多部著作当作日记，“本质上都是学习笔记。”。他谦虚地说。我和我的字一样，仍在路上，所以不敢说有什么代表作。他谨记恩师欧阳中石先生的话：“社会每时每刻都在给每个人打分，它是公平的。历史也是公平的。”     

做最好的创新型企业——“全球IT新领导”韩永飞博士获奖感言

刚才主持人也说了新东方是一所没有围墙的大学，我感到很高兴。也许我们会有勇气，也许我们还能够有足够的时间有所作为，把新东方在未来真正建成一所好的私立大学，现在还不敢说。但我们会一直努力。在我们新东方一直有一首歌，是从来不敢忘记的，就是在年轻时听到的一首歌叫做“永远相信未来。永远相信梦想”。面对中关村、中国的现实，其实我们每个人都要承担自己的重任，我觉得中关村像根扁担。     

说给自己和朋友的告别

我庆幸自己这辈子当上了一个教书育人的老师。人生是一个漫漫的旅程．一个知识分子的人生更是”一山才过一山拦，一梦方醒一梦醉”。     

坚信理想的力量

新东方就是一帮卑微的人实现的一个伟大的梦想。在新东方，很少有“官二代”和“富二代”，我们每一个人都从草根出身起，我们每个人都有席丝情怀，但是我们每一个人都从来没有忘记过，有更高的山可以爬，更长的路可以走。我们一路走来。取得了一些成功，这些成功依靠我们自己的努力，但也不全部是凭我们自己的力量。     

《中关村创新谱》一个贺满的“，”

2007年1月7日,21世纪的第七个年头的第七天，北京这座国际性大都市，刚刚下过一场大雪。在这场接连几天的大雪之后。天气变得格外的寒冷，传统的中国人似乎依然记得那句“瑞雪兆丰年”谚语，也许每个人都在内心默默地为自己祈祷过，来年会有一个好兆头。当天下午4时，我应邀参加一个新书发布会，活动的地点选择在北京市海淀图书城的第三极书局8楼多功能厅。说实话。如果不是活动主办方的再三邀请，在那样一个室外气温在零下几摄氏度的大冷天，我宁愿在家里做自己喜欢的事，再说，做我们这一行的，各种大大小小的活动实在是司空见惯，一个新书发布会对我实在没什么特别的吸引力。不过。既然答应了主办方的邀请，还是得如约而至，这是做人最起码的诚信。     

未来手机游戏推广:3分打品牌 7分抓流量

我一直在寻找分众跟手机游戏生态产业链之间的关系。现在100个手机用户中,就有30个智能手机用户。我自己从来不玩游戏,尽管我是很多游戏公司的独立董事。但手机游戏我会玩五六种,说明手机游戏已经变成一种快消品,几乎每个人都跟它有关系。游戏的推广很值得研究。以前,游戏公     

张毅 找准自己的角色

每个人,都会在某一个时间或空间,扮演某一种角色,选择一个定位,演绎别样人生。 每个人,也都会有自己期望的角色。生活总会让人有些无奈,期望的并不一定可以得到。张毅是幸运的,因为,对于自己理想中的角色,她说,“我找到了!”     

“大经济学家”厉以宁的“小算盘”为解决就业难题出实招

＂共同富裕＂的关键是充分解决就业难题。国家每年保持8%以上的增长速度,某种程度上来讲,就是要确保就业的＂底线＂。日前,著名经济学家厉以宁说：＂农民进城,就业问题怎样解决？＂这位＂大经济学家＂扒拉“小算盘”，给出一个切实可行的办法：“大家想想看，把政策放宽点，每一个中小企业多雇三五个人，全国的中小企业大概有1000万家，个体户全国就3000万个，每个人从自己的家里人当中增加一到两个帮手，就可以增加好几千万人就业。     

A Statistical Analysis Between Consumer Behavior and a Social Network Service: A Case Study of Used-Car Demand Following the Great East Japan Earthquake and Tsunami of 2011

When a large-scale disaster hits a community, especially a water-related disaster, there is a scarcity of automobiles and a sudden increase in the demand for used cars in the damaged areas. This paper conducts a case study of a recent massive natural disaster, the Great East Japan Earthquake and Tsunami of 2011 to understand those car scarcities and demand in the aftermath of the catastrophe. We analyze the reasons for the increase in demand for used cars and how social media can predict people’s demand for used automobiles. In other words, this paper explores whether social media data can be used as a sensor of socio-economic recovery status in damaged areas during large-scale water-related disaster-recovery phases. For this purpose, we use social media communication as a proxy for estimating indicators of people’s activities in the real world. This study conducts both qualitative analysis and quantitative analysis. For the qualitative research, we carry out semi-structured interviews with used-car dealers in the tsunami-stricken area and unveil why people in the area demanded used cars. For the quantitative analysis, we collected Facebook page communication data and used-car market data before and after the Great East Japan Earthquake and Tsunami of 2011. By combining and analyzing these two types of data, we find that social media communication correlates with people’s activities in the real world. Furthermore, this study suggests that different types of communication on social media have different types of correlations with people’s activities. More precisely, we find that social media communication related to people’s activities for rebuilding and for emotional support is positively correlated with the demand for used cars after the Great East Japan Earthquake and Tsunami. On the other hand, communication about anxiety and information seeking correlates negatively with the demand for used cars.     

大唐电信：赢在平台

在金融与安全产业、移动互联网产业方面,大唐电信将在现有基础上,取得行业领先地位,并在细分领域成为主流供应商;在物联网和三网融合产业方面,大唐电信的业务将遍地开花,用＂大终端＋大服务＂的整体解决方案全面迎接智慧城市、智能商业中心等各种大规模行业应用时代的到来。     

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.     

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.     

从海淀文联换届选举看中国艺术的文化力量——记海淀区文学艺术界联合会第三次代表大会

在推动文化大繁荣大发展的时代背景下．海淀区文学艺术界联合会召开了第三次代表大会。会议审议通过了海淀文联工作报告．修订了《海淀区文学艺术界联合会章程》，选举产生了新一届领导机构。从一个区域的活动，我们看到了中国艺术的文化力量。     

Personal Authentication Using a Kinect Sensor

This article proposes a new approach to personal authentication by exploring the features of a person’s face and voice. Microsoft’s Kinect sensor is used for facial and voice recognition. Parts of the face including the eyes, nose, and mouth, etc., are analyzed as position vectors. For voice recognition, a Kinect microphone array is adopted to record personal voices. Mel-frequency cepstrum coefficients, logarithmic power, and related values involved in the analysis of personal voice are also estimated from the voices. Neural networks,support vector machines and principal components analysis are employed and compared for personal authentication. To achieve accurate results, 20 examinees were selected for face and voice data used for training the authentication models. The experimental results show that the best accuracy is achieved when the model is trained by a support vector machine using both facial and voice features.     

The Role of Cross-Border Networks of Skilled Labor in Offshore Outsourcing: Empirical Evidence Based on the Network Theory

This study investigates the determinant role of the cross-border movement of skilled labor in the expansion of service trade between the US, and both developed and developing countries. For this purpose, we employ the key concepts of network theory as an analytical framework and conduct panel data analysis and graphical modeling analysis for 31 countries from 1999 to 2008. In this decade, offshore outsourcing in the service trade took off worldwide. We use data for each country’s service exports to the US, number of H-1B visas issued, GNI per-capita, network readiness index, and an English dummy for the official language. We illustrate the trajectory and interactions between these factors. These analyses yield three observations. First, service trade with the US is more intensive among higher income countries. Second, the number of H-1B visas issued has a positive effect on service exports to the US. Third, individuals in lower income countries tend to desire H-1B visas and create intensive skilled labor networks with the US, the path through which developing countries such as India expanded their service exports to the US.     

Evaluation of a Multi-robot Cafe Based on Service Quality Dimensions

While AI applications are popular in many domains, they should work harmoniously with domain exerts and end users. Furthermore, to develop such harmonious AI applications, we need agile AI platforms for not only developers, but also domain experts. Currently, we have developed PRactical INTElligent aPplicationS (PRINTEPS), which is a user-centric platform to develop integrated intelligent applications. This paper reports on a multi-robot cafe as a practical application of PRINTEPS and evaluates its service quality at a university festival. It is not clear if robotic services are perceived as attractive and/or valuable, and how the concept of robotic services could lead to customer satisfaction. Therefore, the evaluation of the quality of such services is necessary to identify the key factors that could contribute to improving customer satisfaction. The purpose of this research is to identify key factors in improving customer satisfaction in robotic services by evaluating the service quality of the multi-robot cafe. We designed questionnaire items based on SERVQUAL which is one of the service quality evaluation measurement methods and conducted a questionnaire survey at a multi-robot cafe held at a university festival. From the collected data, we modeled and evaluated the relationship between service quality and customer satisfaction to identify key factors in robotic services using a Bayesian network. In addition, the experiment confirms the usefulness of PRINTEPS.     

A Pricing Strategy with Consumption Externality when the Reference Group is Large

This paper provides an analysis of firms’ optimal prices when individual utility exhibits both material and other consumer effects. We construct a model and conduct an analysis in the following four steps: (1) By using a conjoint analysis of data, we set up a hierarchical Bayesian model and estimate its parameters, which are composed of individual utility functions. (2) We calculate the number of sales in each time period and derive the total sales throughout the given period. (3) We estimate the demand functions in the presence and absence of consumption externalities. (4) Finally, we calculate the profit functions and derive the optimal prices taking into account various product attributes. By applying our analysis to the book market of Japan, we find that the optimal price is lower when an externality is present than when absent. The intuition behind this result is that pricing low and selling a large number of books from an early stage increases the externality effect, yielding a higher profit for firms.     

The Perceptual Gaps Between Companies’ and University Students’ Views on Fundamental Competencies

This study examines the gap between the competencies that companies expect of university students and those that university students believe companies are seeking. We find that a gap exists between companies’ and students’ evaluations of the competencies required in the workplace. Surprisingly, companies’ and students’ priorities related to competencies are different. Our results show that both companies and students highly value versatile personal competencies as essential skills for employees. Teamwork skills are not a top priority for companies although students value them highest of the various attributes. Gaps also exist between the two groups regarding their evaluation of personality traits. These findings contribute to the development of appropriate curricula for universities and career education.