浅谈燃气企业的局域网管理

从燃气企业的角度,介绍了企业局域网规划的重要性和网络安全,详述了使用AD活动目录进行集中管理、内网中安装WSUS服务器等两种网络系统的管理和维护方法。     

棘腹蛙繁殖生态的初步研究

本文报道了湘西棘腹蛙繁殖生态的初步研究结果。棘腹蛙多数在3月中、下旬出蛰，5月至8月为每繁殖期，6月至7月为繁殖盛期。同时，对棘腹蛙天然产卵场及其环境条件、第二性征与性成熟年龄，怀卵量与成熟系数、生殖行为和卵群形态等方面进行了研究。所获得的资料，为人工养殖棘腹腹蛙提供了理论依据。     

“透明的荒诞”与“纯洁的逻辑”——论《卡利古拉》中的暴虐启蒙

加缪戏剧主人公古罗马暴君卡利古拉对于"不可能之域"的追求,是以对价值领域里的"不可能性"的突破来代替对事实领域的"不可能性"的征服,两者的错位进一步凸显了存在的荒诞性。卡利古拉的所有暴行皆意在某种表达,这种表达采取了一贯的纯粹而执著的逻辑形式,以"求真去蔽"为目的,这一切构成某种关于存在之荒诞真相的"暴虐启蒙"。     

Power analysis for clustered non-continuous responses in multicenter trials

Power analysis for multi-center randomized control trials is quite difficult to perform for non-continuous responses when site differences are modeled by random effects using the generalized linear mixed-effects model (GLMM). First, it is not possible to construct power functions analytically, because of the extreme complexity of the sampling distribution of parameter estimates. Second, Monte Carlo (MC) simulation, a popular option for estimating power for complex models, does not work within the current context because of a lack of methods and software packages that would provide reliable estimates for fitting such GLMMs. For example, even statistical packages from software giants like SAS do not provide reliable estimates at the time of writing. Another major limitation of MC simulation is the lengthy running time, especially for complex models such as GLMM, especially when estimating power for multiple scenarios of interest. We present a new approach to address such limitations. The proposed approach defines a marginal model to approximate the GLMM and estimates power without relying on MC simulation. The approach is illustrated with both real and simulated data, with the simulation study demonstrating good performance of the method.     

基于高维波动率网络模型的股票市场风险特征研究

波动率是金融风险管理研究的重要内容之一。本文基于复杂网络理论和数据挖掘技术提出股票市场的高维波动率网络模型。首先运用互信息度量不同股票价格波动之间的相关关系,其次对股票市场不同周期下的波动情况建立度的中心势、平均距离、幂律分布等网络拓扑指标,再次根据这些指标利用Prim算法构建出高维波动率网络模型,最后运用Newman-Girvan算法对股票价格波动率的相关性进行分层研究。高维波动率网络模型突破了传统波动率模型关于变量维数的限制,能够在依赖少量假设的基础上,挖掘出多个金融市场主体间的相互关系,反映金融市场的风险特征及网络拓扑性质。实证结果发现：与常用的Pearson相关系数法相比,在互信息框架下,股价波动的非线性相关关系得到了更好的度量;股票市场的整体波动性与个股波动率相关性变化趋势相反,市场处在高波动时期资产组合分散化效果较好;网络中存在少量度数大的关键节点和中心节点,风险通过这些节点可以迅速传递到整个市场;股票市场的运行具有明显的行业聚集现象;网络分层研究进一步直观的展现了风险在层与层之间的传递规律和与之对应的行业特征。高维波动率网络模型为挖掘股票市场的风险特征与管理金融风险提供了一个新的工具。     

制度分析:对新制度主义的一种解读

从近代制度经济学到新制度经济学,从经济学领域到社会学领域,组织研究中的制度分析一直体现出很强的学术解释能力,同时不断地扩大着自己的适用范围。本文以新制度主义的经济学背景为起点,探讨了制度分析在不同学科领域中体现出来的视角差异,并重点阐述了组织社会学中的新制度主义理论学派及其相关实证研究的发展,旨在从根本上理解制度分析如何成为一种广为接受的跨学科研究范式。     

Challenges in Meeting the Mental Health Needs of Urban Asian American Adolescents: Service Providers’ Perspectives

Although Asian American youth are often viewed as the model minority group who are doing well, research with youths, parents, and school personnel have documented significant unmet mental health needs among this population. However, little is known about the perspectives of service providers who work with Asian American youth in afterschool and mental health care settings with respect to what they perceive as challenges meeting the psychosocial needs of the population. The current exploratory study used Consensual Qualitative Research to analyze in-depth interviews with mental health providers, educators, and advocates working with Asian American youths in a multiethnic large urban environment. Results found that service providers were attuned to the multiple needs of the community but also spoke of challenges in meeting basic and psychological needs due to difficult family dynamics, structural stressors (e.g., economic and legal), and societal stigma and discrimination. We draw implications for providing more integrated services across different levels of urban Asian American adolescents’ ecological system to better meet the psychosocial challenges facing this population.     

互联网金融发展对中国经济增长影响的实证

文章从内生增长理论视角出发,在线性内生增长AK模型的基础上,将影响中国宏观经济增长的关键变量简化为资本边际产出率、储蓄-投资转换率和储蓄率,进而结合中国互联网金融发展指数以及中国2011-2015年的有关时间序列数据,对互联网金融发展指数和上述变量相关性进行实证研究,结果表明互联网金融的发展对上述变量均能产生正向影响,互联网金融的发展能够有效促进中国宏观经济的增长.     

A transnational networked public sphere of air pollution: analysis of a Twitter network of PM2.5 from the risk society perspective

ABSTRACT

Drawing on digitaltrace data, publicly accessible government documents, and journalistic reports, this research integrates Beck’s risk society theory with digital media theories to examine the mediated process of risk definition and assessment of PM2.5 (particulate matters with a diameter less than 2.5 micrometers) in a networked public sphere. Network and content analysis of a PM2.5 Twitter network shows that political and professional elite remained the most powerful producers of risk definition. Established media played a key role, yet faced challenges from a variety of actors who disseminated and filtered information. Laypersons, while peripheral, actively interacted with elite and established media. The blurring geographic boundary in the PM2.5 Twitter network revealed an emerging transnational public sphere, which, however, was segregated by language. This research advances a layered understanding of the contingent, paradoxical media impact for social changes in a risk society.     

中国的碳减排路径与战略选择——基于八大行业部门碳排放量的指数分解分析

在中国现实国情下,如何实现低碳发展事关国家的长远发展战略。研究结果发现:经济规模每增长1个百分点,碳排放量平均增加15百万吨(MT),但是不同行业间经济增长的边际碳排放量差异很大;经济结构重型化加剧碳排放的增加,制造业比重每增加1个百分点,碳排放量平均增加56MT;技术进步推动能源强度下降,是减少碳排放的核心动力,能源强度每下降1个百分点,碳排放量平均减少33MT;以煤炭为主的能源结构导致碳排放密度居高不下,能源结构变化的减排效应并不显著,但是,综合碳排放密度下降是一个积极的信号,显现出能源结构优化的迹象。推动产业结构调整、能源结构优化,促进节能技术与工艺创新、走新型工业化道路,是实现中国低碳发展的必经之路。