论金评本《西厢记》对朝鲜半岛汉文小说的影响——以汉文小说《广寒楼记》为例

金评本《西厢记》对朝鲜半岛汉文小说产生的影响,以《广寒楼记》为最。《广寒楼记》从小说的结构布局、手法和语言风格等方面都从《西厢记》中吸取有益的成分,或直接征引,或化用,对丰富小说人物起了一定的作用,然亦有生搬硬套的毛病。由于《广寒楼记》是在中国古代小说普遍传播朝鲜半岛、并形成巨大影响的情况下接受金评本《西厢记》的,所以,它的接受更加全面地吸收了中国文学中有益的成分,拓宽了朝鲜汉文小说的表现空间,为朝鲜本民族的文学和文化积淀作出了不可磨灭的贡献。     

沉默权制度应予确立

沉默权是无罪推定的核心内容,是保障犯罪嫌疑人、被告人的正当权利,实现司法公正的重要体现。根据沉默权的起源、发展的历程,借鉴国际社会采用沉默权制度的经验,分析法学界对沉默权的不同观点和态度,结合我国的国情和司法实践,所得结论是应当在我国确立沉默权制度,以推进我国的法治建设,体现人权保障和人文关怀。同时,对沉默权制度不可照抄照搬,盲目采用,而应充分考虑我国的国情和司法实践,创立有中国特色的沉默权制度,从而构建社会主义和谐社会。     

网络传播对大学生思想道德的影响

网络传播就像一把双刃剑,它既有利于大学生增强主体意识,形成开放的精神,更新学习观念,增强自主学习能力,推动大学生的社会化进程,也容易使大学生的民族认同感弱化,形成思维惰性,模糊大学生的道德评价标准,影响其自律意识的形成。论题分析了网络传播对大学生思想道德的影响,提出了相应的对策与建议。     

网络的外部性分析

以网络外部性来作为分析网络经济效果的切入点 ,不但能清楚了解网络的特性与优势 ,更能对网络优势与其所造成的冲击进行经济分析。无排他性与普遍性是网络最重要也最特殊的特性 ,网络外部性有互依性与非补偿性两项重要的特性。网络的供需调整方式与传统一般产业的供需均衡分析有着很大的差异     

A reflected feature space for CART

We present an algorithm for learning oblique decision trees, called HHCART(G). Our decision tree combines learning concepts from two classification trees, HHCART and Geometric Decision Tree (GDT). HHCART(G) is a simplified HHCART algorithm that uses linear structure in the training examples, captured by a modified GDT angle bisector, to define splitting directions. At each node, we reflect the training examples with respect to the modified angle bisector to align this linear structure with the coordinate axes. Searching axis parallel splits in this reflected feature space provides an efficient and effective way of finding oblique splits in the original feature space. Our method is much simpler than HHCART because it only considers one reflected feature space for node splitting. HHCART considers multiple reflected feature spaces for node splitting making it more computationally intensive to build. Experimental results show that HHCART(G) is an effective classifier, producing compact trees with similar or better results than several other decision trees, including GDT and HHCART trees.     

Innovative approaches to regulating decent work for domestic workers in Côte d'Ivoire: Labour administration and the judiciary under a general labour code

The authors offer a contextualized analysis of judicial decisions rendered during 1971–2013 in Côte d'Ivoire, where domestic work is regulated by a general labour code. Assessments of those decisions, alongside qualitative interviews of institutional actors, elucidate how innovative practices were mainly derived from the code by attentive inspectors and by jurisprudence evolving to treat domestic work like any other. Yet limitations emanating from the inability to grapple with the specificity of domestic work are also identified. Reaffirming that the regulation of domestic work must embrace its duality (work like any other and work like no other), the authors conclude with a call for an international community of learning on decent work for domestic workers.     

The Career Decision‐Making Difficulties Questionnaire: A Case for Item‐Level Interpretation

The Career Decision‐Making Difficulties Questionnaire (CDDQ; Gati, Krausz, & Osipow, 1996) has long been demonstrated as a useful instrument for career counseling practice. Several case studies have demonstrated how and why using the CDDQ facilitates the career counseling process (e.g., Amir, Gati, & Kleiman, 2008; Gati & Levin, 2014; Levin & Gati, 2014). This study explores how an in‐depth analysis of a case study conducted at the item level can provide career counselors with a richer understanding of their clients’ needs. The case study also emphasizes how administering and providing feedback on the CDDQ in career counseling sessions is likely to foster working alliances. The study concludes by presenting an intervention map based on the CDDQ taxonomy.     

属性集容量确定的夹挤式测度模式及其推算模型

迄今,为解决多属性偏好关联决策属性集容量判断指数复杂性难题所提出的λ模糊测度模式与k-可加模糊测度模式,以及建构在它们之上的属性集容量确定的推算模型,尚存在着适用性差的技术不足。为此,以平衡容量判断的可操作性和容量推算的准确性为视角,提出了一种新容量测度模式,即关于容量判断与推算的夹挤式测度模式,并在此基础上通过引入决策者较易判断给出的容量序信息构建了相应的容量推算模型。基于数值模拟的对比分析表明：新模式不仅在应用可行性上高于k-可加模糊测度模式,而且从容量推算的准确性上看也明显优于λ模糊测度模式和k-可加模糊测度模式,因而对实际决策具有更强的适用性。     

需求分布规律变化情况下的报童订货策略

在需求分布规律变化情况下,报童在进行订货决策时会因为错误判断需求分布规律而导致期望库存成本增加。为了解决这一问题,本文集成传统历史需求信息和非传统需求信息以正确地认知需求分布规律,在此基础上决策订货量。假设需求服从均值不同、方差相同的两种类型的正态分布,每一种正态分布的概率已知。利用信号检测理论构建基于历史需求信息与需求分布概率的报童最优订货策略,并与只基于需求分布概率的直觉规则订货策略进行对比。结果表明：只要排除需求分布概率很大或很小两种极端情况,最优订货策略比直觉规则订货策略在控制期望库存成本方面的作用更明显,即利用历史需求信息可以有效修正报童对实际需求分布的检测结果,从而提高实际订货决策的准确性。研究结果对传统历史需求信息和非传统需求信息的集成以及需求信息交换等有一定的管理学启示和应用价值。