向普及科技知识和科学精神者致敬

带动我国科学技术有效发展的是两个轮子,一是科技创新,一是科技普及。作为一个门外汉,我就科普问题谈点感受。一鸦片战争失败以来,为了从根本上摆脱国家贫     

Characteristics of Internet use in relation to game genre in Korean adolescents.

As the number of internet users increases, a new game genre using the internet as a networking tool is emerging. Some game genres are regarded as having greater addiction potentials than others. Games and the internet are closely related. We investigated games frequently used by adolescents and classified each of them with the help of game professionals. We also examined internet use patterns to identify relationships between game genre and internet use patterns. 627 middle school and high school students (male 488, female 139) completed questionnaires concerning computer and game use patterns and Korean internet addiction scales. Game genres were divided into eight criteria (simulation, role playing game, web board, community, action, adventure, shooting, and sports). Using Korean internet addiction scales, 627 participants were divided into a normal group (474), a potential risk group (128), and a high-risk group (25). Each group showed significant differences in total internet addiction scores. We classified players into specific game users based upon the game types they most prefer. Role playing game users showed significantly higher internet addiction scores than web board and sports game users. Game and internet addictions are also connected with interpersonal relationship patterns. We suggest that users of some game genre have unique psychological addiction potentials that are different from others and that this influences both game selection and internet use.     

中小学生师生关系发展特征研究

本研究从学生角度去探讨中小学师生关系在亲密性、主动性和合作性等方面的特点。研究结果表明：师生关系亲密性总体呈随年级升高下降的趋势,女生在师生关系亲密性上得分比男生高;师生关系主动性总体随年级升高而降低,年级X性别的交互作用在中小学都很明提;师生关系合作性总体随年级升高而降低,年级X性别的交互作用最明显出现在小四至初二阶段;师生关系的亲密性、合作性和主动性三方面并非平均发展,合作性表现最高,主动性表现最低,亲密性居中。     

体育专业大学生网络心理特点研究

目的:探讨体育专业大学生网络心理的特点。方法:采用自编大学生网络心理问卷,对某省236名体育专业大学生和331名非体育专业大学生的网络心理进行调查和比较。结果:(1)体育专业大学生网络喜好程度显著低于非体育专业大学生。(2)体育专业大学生对网络依恋程度低于非体育专业大学生。(3)体育专业大学生对网络人际交往依赖程度低于非体育专业大学生。(4)体育专业大学生在上网目的性上表现为"学习需要"等,非体育专业大学生上网是为了"寻求自信"等。     

POWER STRATEGIES IN INTERPERSONAL RELATIONSHIPS The Effects of Expertise and Gender

The present study was designed to examine the effects of both power and gender in the use of influence strategies. Women and men responded to three scenarios in which they interacted with an imagined partner in situations with different levels of interpersonal power: more power than their partner (expert), less power (novice), and the same amount of power (equivalent). Partners were either same sex or other sex. Participants used more direct strategies when they were experts and more indirect strategies when they were novices, and women and men were very similar in the strategies they selected. Overall, power differences had a more profound effect than gender in predicting the choice of influence strategies. What are often construed as gender differences in social influence probably are perceived power differences. As such, gender differences in behavior must be understood within a context of status and power.     

投资行为中的突显、过度自信、高估现象研究

本研究采用知觉突显(物理、熟悉、背景突显)与过度自信及股价估值匹配的测试方法,比较突显是否存在高估及过度自信现象.研究发现物理突显、熟悉、背景突显均存在高估现象、新股民、低学历、女性突显造成的知觉错觉更高;高突显同时具有高过度自信,对熟悉的股票具有高过度自信且估值高,老股民、高学历、男性,过度自信高.     

Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of fMRI Data in Economic Decision Making Study

Decision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we analyze functional magnetic resonance imaging (fMRI) data on 17 subjects who were exposed to an investment decision task from Mohr, Biele, Krugel, Li, and Heekeren (in NeuroImage 49, 2556–2563, 2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park, Mammen, Wolfgang, and Borak (in Journal of the American Statistical Association 104(485), 284–298, 2009) and identify task-related activations in space and dynamics in time. With the panel DSFM (PDSFM) we can capture the dynamic behavior of the specific brain regions common for all subjects and represent the high-dimensional time-series data in easily interpretable low-dimensional dynamic factors without large loss of variability. Further, we classify the risk attitudes of all subjects based on the estimated low-dimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects’ decision behavior.