浅议常人方法学视角下的社会性别研究

常人方法学重视对日常生活实践活动的研究，其对表层规则规范下和语言逻辑下的互动这种独特研究方式，及其理论的批判性和反思性的架构，对于社会性别研究有着独特的适应性。因此试图在常人方法学的理论视角下来看待社会性别问题，运用加芬克尔的相关研究及常人方法学的相关理论视角来分析和探讨性别研究的发展，并结合建构主义理论，试图解释社会性别研究面临困境的原因，为解决社会性别研究发展所面临的困境提供参考。     

Leadership Dimensions,the Critical Link for the Evolution of Collaboration

Abstract

This article traces the history of one community's efforts to coordinate services to address family violence. The current mazeof organizations in communities is overwhelming to the professionals who work in them, the political leaders who authorize them, the foundations and United Ways who fund them, and, most assuredly, to the persons for whom the various organizations were established. A review of the literature on coordination and collaboration is included as well as a discussion of leadership challenges during the various stages in the evolutionary process to provide confidential, culturally sensitive, comprehensive, accountable, and user-friendly community social service systems.     

采用汇文系统实现统编工作的探索

统一编目工作是促进图书馆业务工作自动化与标准化的重要技术,笔者从采用汇文系统进行统编工作的实践尝试中,探讨了统编工作中存在的一些实际问题,并提出了解决方案.     

聚酯聚合反应分层温度控制系统

介绍了聚合釜聚酯聚合反应温度过程控制系统及其设计方法。控制系统以高性能单片机系统为直控机（DDC）,PC机为上位机（MIS）,直控机负责聚合釜釜温及夹套温度采集、分析、控制,并将参数送上位机。上位机负责控制过程的时间及温度值设定、温度监测、工作过程监控。     

纸机传动控制系统的配置与控制原理

针对纸机日益高速化、大型化的发展趋势，设计了国内先进的全数字化通信网络传动控制系统。系统采用西门子全集成自动化解决方案，实现造纸生产过程的全线集成控制。高可靠的工业现场总线PROFIBUS—DP和工业以太网相结合的网络结构，有效地实现了数据共享，全面解决了整个工艺过程的控制。文章详细介绍了控制系统的配置和功能，重点阐述了速度链、负荷分配控制、张力控制等主要控制原理。     

汉初皇帝利益追求的策略——在制度的利益分析框架之下的探讨

与秦始皇一样,汉初的皇帝也追求个人利益最大化,但他们追求最大化利益的手段越来越巧妙。汉承秦制,刘氏家族重新确立被放弃的皇帝制度,从制度上保证自己获取最大利益的同时,巧妙运用其他的社会制度,巩固其既得的利益。他们在追求最大利益的同时,也追求最安心、最长久的利益享受。从这个角度看,汉初的皇帝追求个人利益的策略要比秦始皇略高一筹。     

契科夫笔下“小人物”的解构

契科夫是十九世纪俄国批判现实主义作家。他在作品中塑造了众多的“小人物”形象。这些“小人物”身上具有一些共性：人性的异化与思想的套子，而这些共性对于今天的我们具有警示作用。     

同构为美——中国古代美学关于美的心理本质的界说

中国古代美学资料说:“同声相应,同气相求。”“物固以类相召。”人性“爱同憎异”,“会己则嗟讽,异我则沮弃。”这些是异质同构为美思想的明确注脚;也是中国古代关于美的心理本质的固有思想。它与西方美学异质同构为美的思想异曲同工。究其成因,渊源于中国古代“天人合一”的文化模式。     

管仲改革与梭伦改革之不同历史价值

管仲与棱伦分别是先秦齐国和古希腊城邦影响最大的政治家,也是中西政治思想史、化史上的重要人物。在二的改革与实践中,都蕴涵着极其丰富的历史价值。但是,由于管仲采取“法自君出”政策,强调君主专制制度;梭伦采取“主权在民”,建立民主制度;加之二改革所依托的社会载体不同,致使二的改革在民主思想观念等方面形成极大差异,也直接影响中西民主思想的历史进程。     

Machine learning for multi-criteria inventory classification applied to intermittent demand

Multi-criteria inventory classification groups inventory items into classes, each of which is managed by a specific re-order policy according to its priority. However, the tasks of inventory classification and control are not carried out jointly if the classification criteria and the classification approach are not robustly established from an inventory-cost perspective. Exhaustive simulations at the single item level of the inventory system would directly solve this issue by searching for the best re-order policy per item, thus achieving the subsequent optimal classification without resorting to any multi-criteria classification method. However, this would be very time-consuming in real settings, where a large number of items need to be managed simultaneously.

In this article, a reduction in simulation effort is achieved by extracting from the population of items a sample on which to perform an exhaustive search of best re-order policies per item; the lowest cost classification of in-sample items is, therefore, achieved. Then, in line with the increasing need for ICT tools in the production management of Industry 4.0 systems, supervised classifiers from the machine learning research field (i.e. support vector machines with a Gaussian kernel and deep neural networks) are trained on these in-sample items to learn to classify the out-of-sample items solely based on the values they show on the features (i.e. classification criteria). The inventory system adopted here is suitable for intermittent demands, but it may also suit non-intermittent demands, thus providing great flexibility. The experimental analysis of two large datasets showed an excellent accuracy, which suggests that machine learning classifiers could be implemented in advanced inventory classification systems.