送变电企业文化建设的现状与对策研究

企业文化是指在一定的社会经济条件下通过社会实践所形成的并为全体成员遵循的共同意识、价值观念、职业道德、行为规范和准则的总和,是一个企业或一个组织在自身发展过程中形成的以价值为核心的独特的文化管理模式。中国加入WTO后,正式融入了世界经济主流和经济全球化进程。作为基础产业的电力基建行业,将直面全球化的竞争。企业的经营环境将发生重大而深刻的变化,生存环境将更加复杂,基建市场、企业内部资源等更大范围内的竞争变得十分激烈。送变电企业只有加强企业文化建设,教育和引导员工转变观念,不断加固员工的忠诚和归属感,不断提升员工技术水平和素质,才能留住人才,稳住人心,企业才能发展,才能保证改革的顺利进行。     

劳模文化的社会效应及其价值趋向

经过劳模群体长期实践所形成的劳模文化,具有巨大的潜在价值。从劳模文化的本质内涵、劳模文化的社会效应及影响力、劳模文化的价值趋向加以论述,可以看出它以潜移默化的功能作用促进着经济社会的发展。劳模文化在当今时代越来越显示出它的社会作用及其影响力,对于构建和谐社会,推动我们的事业发展有着重要的理论意义和现实意义。     

实事求是的典范 --纪念陈云诞辰100周年

陈云是伟大的马克思主义者,无产阶级革命家、政治家.他的实事求是的思想和作风,为全党和全国人民树立了光辉的典范.他提出的"不唯上、不唯书、只唯实,交换、比较、反复",闪耀着唯物辩证法的灿烂光辉.     

犯罪构成模型论

犯罪构成是立法者依据一定的利益需求与价值观念而将生活中之危害行为加以类型化形成的 ,表现为通过刑法规范所确认的认定犯罪之规格、标准或最低度条件———本文称之为模型。它同构成犯罪的事实 (原型 )是不同层面之范畴。注释刑法学应以刑法条文中静态存在的模型意义上的犯罪与刑罚为研究对象。同两大法系的构成体系相比较 ,在现阶段国情下我国几十年所形成的通说体系具有直观、简单、易操作的特点 ,并无重新构造之当务必要。     

试析劳模工作中的辩证法

做好劳模工作,在全社会弘扬劳模精神是一项系统工程,它既包括对劳模的选树、培养,又包括对劳模精神的宣传与学习。只有牢牢把握唯物辩证法,客观、全面、辩证、系统地处理好各种关系,才能使劳模工作达到最佳效应。     

德日犯罪论体系思维模式探究

任何犯罪论体系的建构都需要一定的思维模式作为其支撑点。目前 ,德日刑法学界普遍认为应以目的合理性为基础建构犯罪论体系 ,并对范畴论体系提出了批判。然而 ,作为目的合理性的实现途径是建构形式合理化的犯罪论体系还是实质合理化的犯罪论体系 ,见解并不一致 ,论争仍在继续。从当前德日通说体系各要素的功能和运作方式来看 ,形式合理化和实质合理化在体系中都有所体现。而在该体系中 ,行为概念并不是体系的要素而是体系运作的逻辑起点。     

A simulation for exploring the effects of the "trait list" method's subjectivity on consistency and accuracy of ancestry estimations

The nonmetric "trait list" methodology is widely used for estimating ancestry of skeletal remains. However, the effects of the method's embedded subjectivity on subsequent accuracy and consistency are largely unknown. We develop a mathematical simulation to test whether variation in the application of the "trait list" method alters the ancestry estimation for a given case. Our simulation explores how variations in (i) trait selection, (ii) number of traits employed, and (iii) ancestry choice thresholds affect the ancestry estimation of an unidentified skeleton. Using two temporally and geographically diverse samples, the simulation demonstrates that trait selection, trait quantity, threshold choices, and the exclusion of high-frequency traits had minimal effect on estimation of general ancestry. For all data sets and Runs, Accuracy(AS) was maintained above 90%. The authors close with a discussion on the logistical issues present when choosing traits, and how to avoid ancestry bias.     

Validating TrueAllele® DNA mixture interpretation

Abstract: DNA mixtures with two or more contributors are a prevalent form of biological evidence. Mixture interpretation is complicated by the possibility of different genotype combinations that can explain the short tandem repeat (STR) data. Current human review simplifies this interpretation by applying thresholds to qualitatively treat STR data peaks as all‐or‐none events and assigning allele pairs equal likelihood. Computer review, however, can work instead with all the quantitative data to preserve more identification information. The present study examined the extent to which quantitative computer interpretation could elicit more identification information than human review from the same adjudicated two‐person mixture data. The base 10 logarithm of a DNA match statistic is a standard information measure that permits such a comparison. On eight mixtures having two unknown contributors, we found that quantitative computer interpretation gave an average information increase of 6.24 log units (min = 2.32, max = 10.49) over qualitative human review. On eight other mixtures with a known victim reference and one unknown contributor, quantitative interpretation averaged a 4.67 log factor increase (min = 1.00, max = 11.31) over qualitative review. This study provides a general treatment of DNA interpretation methods (including mixtures) that encompasses both quantitative and qualitative review. Validation methods are introduced that can assess the efficacy and reproducibility of any DNA interpretation method. An in‐depth case example highlights 10 reasons (at 10 different loci) why quantitative probability modeling preserves more identification information than qualitative threshold methods. The results validate TrueAllele^® DNA mixture interpretation and establish a significant information improvement over human review.     

General and maladaptive traits and anger in a combined forensic psychiatric and general population sample

The present study examines the associations between anger and general and maladaptive traits in a combined forensic psychiatric and community sample of men. Thirty-four male forensic psychiatric patients and 219 men from the general population completed the Novaco Anger Scale (NAS; Novaco, 1994), the NEO-PI-R (Costa & McCrae, 1992), the ADP-IV (Schotte & De Doncker, 1994) and the VKP (Duijsens, Haringsma, & EurelingsBontekoe, 1999) at two measurement occasions with a one-year interval. The results of a series of multiple regression analyses showed that general and maladaptive traits accounted for a substantial amount of variance in anger scores. Neuroticism, Agreeableness and Externalizing traits were most prominent in the prediction of anger, while Conscientiousness was acting as a suppressor variable in the regression models. Strengths and limitations of the present study and implications for further research and clinical practice are discussed.     

Optimizing risk mitigation in management of sexual offenders: a structural model

Sexual violence is an insidious and pervasive problem that insinuates itself into all aspects of contemporary society. It can neither be mitigated nor adequately controlled through current socio-legal practices. A more promising approach must embrace four integrated elements: (1) public policy, (2) primary prevention, (3) statutory management, and (3) secondary intervention. In the present paper we tackle the 3rd and 4th elements by proposing an integrated model for reducing and managing sexual violence among known sex offenders. Relying on the highly effective Risk-Need-Responsivity (RNR) model as the core of our Sex Offender Risk Mitigation and Management Model (SORM³), we draw together evidence based practices from clinical interventions and risk assessment strategies. Developed by Andrews & Bonta (2006), RNR has a strong empirical track record of efficacy when applied to diverse samples of offenders, including sex offenders (Hanson, Bourgon, Helmus, & Hodgson, 2009). We offer a detailed structural model that seeks to provide a more seamless integration of risk assessment with management and discretionary decisions, including a primary focus on RNR-based post-release aftercare. We end with the mantra that sex offender treatment alone will never effectively mitigate sexual violence in society, since the problem is not confined to the handful of offenders who spend time in prison and are offered some limited exposure to treatment. Any truly effective model must go well beyond the management of those known to be violent and embrace a comprehensive and integrated approach that begins by recognizing the seeds of sexual violence sown by society. Such a public health paradigm places victims - not offenders - at the center, forcing society to come to address the full gamut of hazards that fuel sexual violence.