突出毛泽东思想活的灵魂的主导地位——《毛泽东思想概论》课程教学探索

这篇教学探讨文章 ,把毛泽东思想的活的灵魂实事求是、群众路线、独立自主作为《毛泽东思想概论》课程教学的最重要内容。在简明讲述有关基本原理的基础上 ,把着重点放在结合现实生活和学生的实际情况上     

清代外国科技人员管理法令探析

为适应中西科技交流的需要,清政府不断制定政策,加强对来华科技人员的管理,在科技人员的选送程序、通信审查、身份认证、活动范围以及服务年限等方面均作出严格规定。因管理过于严苛,在一定程度上限制了西方科技人员作用的发挥,影响了中外科技交流的成效。     

重婚罪的界定

"事实婚姻"、"事实重婚"、"非法同居"以及"事实婚"是各自有着不同内涵的概念,对其的混乱使用导致理论界的矛盾与纷争,文章理清了四个概念的不同内涵,把重婚罪的客观方面界定为前婚必须有效婚姻,后婚必须是无效婚姻,但并非所有的重婚行为都是犯罪,重婚罪的界定还要立足于法律体系这个整体,在民法、行政法规定的基础上去认定重婚罪的成立与否。     

基层政府在解决农村土地承包纠纷中的作用

随着农业生产效益的显著提高,农民法律意识增强,农村土地承包纠纷越来越多。如果不能及时、妥善地解决这些纠纷,将会严重影响安定和谐的社会秩序。基层政府贴近农民,在解决农村土地承包纠纷中具有特殊的作用。因此,应提高认识,激发热情,充分调动基层政府的积极性。     

金融发展对经济增长的传导机制:人力资本、技术进步效应的分解

本文考虑人力资本积累和技术进步间的关联性,并将这两种渠道同时纳入内生增长框架,扩充为包含物质资料生产部门、人力资本部门、研发部门和金融部门的四部门内生增长模型;同时,运用比较静态分析方法分析经济体系达到稳态时对金融外生冲击的敏感度,并将这两种渠道的传导效应进行分解与对比。结果发现,金融发展促进经济增长,且经济体系对金融发展的变化存在一定的时滞。面对金融外生冲击,物质、人力和研发资本及总产出的增长率均是一个渐变的过程。值得注意的是,金融发展通过人力资本积累和技术进步两大渠道促进经济增长,但两种渠道效应的差异性取决于人力资本部门和研发部门的生产效率及两种要素在最终产品部门中的产出弹性的大小。     

论违约责任的替代

承担违约责任的方式可概括为实际履行和损害赔偿,二者之间具有可替代性。即当一种违约责任不能由违约人承担时,由其承担另一种违约责任,违约责任的替代需具备一定的条件。本文研究各国法律的不同规定,结合我国《合同法》就违约责任能否替代及何种条件下可以替代的问题进行了深入的探讨。     

经验抑或逻辑:对知识产权客体与对象之争的反思

"客体"与"对象"在词义上存在混用,法学中的"客体"与"对象"应参照哲学认识论作同义理解。刑法的客体理论基础存在逻辑上的失恰性,刑法客体与对象之分作为知识产权客体与对象之争的论据并不充分。民法中的权利客体结构实为一种双重构造体系,"平面"罗列式扭曲的权利客体难堪重任。从知识产权权能构造层面来看,知识产权客体也是一种双重构造体系,包括知识产权的支配、使用客体(信息)和知识产权的处分客体——知识产权(利益)。知识产权"客体"与"对象"之争实际上演变成形式逻辑与历史(经验)逻辑之争的命题。     

Perpetuating Old Exclusions and Producing New Ones: Digital Exclusion in an Information Society

This article presents a study that measures the degree of digital exclusion—or, conversely, the degree of digital inclusion—in Hong Kong, a developed city in East Asia. Governments in the region are among the most active in the developed world in pushing ahead in developing knowledge economies and information societies. The major concern is to improve/maintain their competitiveness in the new knowledge economy created by the process of globalization and the advancement in information technology. Many countries in the region have established themselves in the top ranks of a number of indexes and measurements comparing digital readiness, digital access, information and communication technology penetration, and others. However, not all the citizens in the region share the benefits and promises of the information society. People who are traditionally disadvantaged, such as the elderly and those on a low income, are further excluded from the information society. Such exclusion affects other social groups as well. This study creates a new digital inclusion index to measures the degree of inclusion of various disadvantaged groups in an information society. Data regarding seven disadvantaged groups were collected through a household survey (N = 2,312). The index captures information about access, knowledge, usage, and affordability ininformation and communication technology of the disadvantaged in comparison with mainstream society (N = 284).     

Composable models for online Bayesian analysis of streaming data

Data is rapidly increasing in volume and velocity and the Internet of Things (IoT) is one important source of this data. The IoT is a collection of connected devices (things) which are constantly recording data from their surroundings using on-board sensors. These devices can record and stream data to the cloud at a very high rate, leading to high storage and analysis costs. In order to ameliorate these costs, the data is modelled as a stream and analysed online to learn about the underlying process, perform interpolation and smoothing and make forecasts and predictions. Conventional state space modelling tools assume the observations occur on a fixed regular time grid. However, many sensors change their sampling frequency, sometimes adaptively, or get interrupted and re-started out of sync with the previous sampling grid, or just generate event data at irregular times. It is therefore desirable to model the system as a partially and irregularly observed Markov process which evolves in continuous time. Both the process and the observation model are potentially non-linear. Particle filters therefore represent the simplest approach to online analysis. A functional Scala library of composable continuous time Markov process models has been developed in order to model the wide variety of data captured in the IoT.