高校科研档案管理存在问题及对策研究

《高等学校档案管理办法》的颁布实施,为高校科研档案管理提供了重要的制度保障和法规依据。为了适应形势的发展,促进高校科研档案管理水平的提高,在分析当前科研档案管理存在问题的基础上,提出增强科研档案意识,完善科研档案管理制度,开发科研档案信息资源等改进对策。     

Firm-level correlates of emergent green supply chain management practices in the Chinese context

Greening the supply chain is increasingly a concern for many business enterprises and a challenge for logistics management in the 21st century. Of particular concern is how to arouse organizational environmental awareness and put environmental activities into practice in the logistics activities of their supply chains. This paper investigates the correlation of two major factors, organizational learning and management support, with the extent of adoption of green supply chain management (GSCM) practices in Chinese manufacturing firms, where their inbound and outbound logistics activities are potential polluters to the environment. Organizational and operational learning was derived from the firm's experience with programs such as total quality management and environmental management systems. Management support included support for GSCM ideas and practices from top and middle-level management and cooperation across organizational functions. We find significant positive relationships between organizational learning mechanisms, organizational support and the adoption of GSCM practices, after controlling for a number of other influences including regulations, marketing, supplier, cost pressures, industry levels of the relevant practice and organizational size. Implications of our findings on logistics management are discussed.     

Researchers experience of misconduct in research in Malaysian higher education institutions

This article offers a qualitative analysis of research misconduct witnessed by researchers during their careers, either by research students or fellow researchers, when conducting or supervising research in their respective departments. Interviews were conducted with 21 participants from various research backgrounds and with a range of research experience, from selected universities in Malaysia. Our study found that misbehavior such as manipulating research data, misrepresentation of research outcomes, plagiarism, authorship disputes, breaching of research protocols, and unethical research management was witnessed by participants among junior and senior researchers, albeit for different reasons. This indicates that despite the steps taken by the institutions to monitor research misconduct, it still occurs in the research community in Malaysian institution of higher education. Therefore, it is important to admit that misconduct still occurs and to create awareness and knowledge of it, particularly among the younger generation of researchers. The study concludes that it is better for researchers to be aware of the behaviors that are considered misconduct as well as the factors that contribute to misconduct to solve this problem.     

论道德适应的衍化逻辑

道德适应是一种道德流动的过程,其逻辑起点是我们对新的道德环境的需要与价值认同,是他者世界与道德发展之间的良性互动;道德适应的逻辑可能主要是从道德适应的形式之维与实质规定两方面加以展开,道德适应的形式主要细分为道德传播与道德涵化;道德适应的逻辑衍化以融合和分离的状态显现,最终分化为道德认同、道德学习、道德实践、道德内化四个阶段。     

The relative performance of ensemble methods with deep convolutional neural networks for image classification

Artificial neural networks have been successfully applied to a variety of machine learning tasks, including image recognition, semantic segmentation, and machine translation. However, few studies fully investigated ensembles of artificial neural networks. In this work, we investigated multiple widely used ensemble methods, including unweighted averaging, majority voting, the Bayes Optimal Classifier, and the (discrete) Super Learner, for image recognition tasks, with deep neural networks as candidate algorithms. We designed several experiments, with the candidate algorithms being the same network structure with different model checkpoints within a single training process, networks with same structure but trained multiple times stochastically, and networks with different structure. In addition, we further studied the overconfidence phenomenon of the neural networks, as well as its impact on the ensemble methods. Across all of our experiments, the Super Learner achieved best performance among all the ensemble methods in this study.     

Binary discrimination methods for high-dimensional data with a geometric representation

Four binary discrimination methods are studied in the context of high-dimension, low sample size data with an asymptotic geometric representation, when the dimension increases while the sample sizes of the classes are fixed. We show that the methods support vector machine, mean difference, distance-weighted discrimination, and maximal data piling have the same asymptotic behavior as the dimension increases. We study the consistent, inconsistent, and strongly inconsistent cases in terms of angles between the normal vectors of the separating hyperplanes of the methods and the optimal direction for classification. A simulation study is done to assess the theoretical results.     

高职工科与商科课程的项目驱动教学模式比较研究

工科与商科课程项目驱动教学模式有不同个性,这从工科《固体废物处理与利用》和商科《报关实务》的课程设计比较中可看出。这两门课程教学实践的比较,对其他工科与商科的高职教育课程改革也有一定的借鉴意义。     

Elite,exclusive and elusive: transgovernmental policy networks and iterative policy transfer in the Anglosphere

ABSTRACT

The prominent corridor of bilateral policy transfer between Australia and the UK is underpinned by a long-standing cultural and political proximity. While ad hoc cases of transfer have in recent years been the subject to concerted attention from transfer theorists, much less attention has been given to the rise of multilateral, or transgovernmental, policy networks based on similar cultural and political amity amongst the ‘Anglosphere’ group of states including Australia, Canada, New Zealand, the UK and the US. Populated by policy elites and regularly interacting, these networks represent potentially important modes of policy transfer yet little is known about how they operate, with what purposes or what outcomes. This article therefore sets out research findings that offer an insight into 23 identified networks, suggesting that understanding the emergence of these networks are crucial to explaining any bilateral transfer between Anglosphere states in general, and specifically Australia and the UK. The article contends that a consideration of these networks provides insight into (i) the substantive landscape of Anglosphere policy learning and collaboration, (ii) the attendant dynamics of collaborative policy networks as elite, elusive and exclusive and (iii) iterative policy transfers.     

物流企业与供应链成员多边合作价值创造机理及实现——基于组织间学习效应视角

物流企业与上下游企业构成的供应链本质上是一个集知识获取、知识共享与利用为一体的学习系统,知识在供应链中的转移是一个非线性的过程。在物流企业与供应链成员多边合作的过程中,供应链整体的知识吸收能力对供应链成员间学习产生直接的影响,通过供应链成员间的学习实现了基于供应链的知识共享与知识创新,而知识共享与知识创新对于供应链价值具有明显的增值效应。物流企业与供应链成员的多边合作需要从“为顾客解决问题”的知识共享与创新视角出发,建立和完善供应链内部的知识体系及学习机制,由此实现供应链的价值创造。