马克思的劳动价值论及在新经济时代的发展

马克思的劳动价值理论不仅是科学的,而且避免了主流经济学关于供求变化与价格变化相互关系的混乱状况。在新经济时代坚持和发展马克思劳动价值理论,必须在正确理解马克思劳动价值理论的基础上结合新经济时代的实际进行理论创新。     

马克思市民社会理论再析——马克思人类解放思想与我国和谐社会的建立

马克思市民社会理论是对黑格尔市民社会理论的批判与超越,其价值指向是人类解放。马克思的人类解放思想对我国目前创建社会主义和谐社会具有理论与实践的双重指导意义。     

马克思社会革命思想的理论阐释及其当代意义

以斗争为生命要素的马克思是一位伟大的革命家。在唯物史观和政治经济学批判的双重运思中,马克思确证了社会革命是“政治的最高行动”“天下最权威的东西”和“人民权利的法律根据”,同时还回应了工业革命和资本逻辑背景之下反对旧的社会关系和联合的革命行动何以可能的问题。在马克思的致思理路中,他先后聚焦物质利益、异化劳动、生产力和交往形式之间的矛盾、劳动和资本的关系而分别阐发了他的社会革命思想。马克思的社会革命思想是与众不同的,它既是革命理念与革命行动、政治革命与社会革命、经济革命与人类解放、阶级革命与民族解放相统一的总体性革命,又是历史地回应时代之问的人民革命。在新时代,我们必须高扬马克思的社会革命思想和精神,在理论上肃清消解、否弃、拒斥革命的误识,在实践中继续推进伟大的社会革命和自我革命。     

物象化、物化与马克思的拜物教批判

考察马克思的拜物教批判,需要区分物象化一般与生产关系的物象化、物化一般与社会生产规定的物化,需要区分商品、货币和资本的拜物教性质与竖立其上的拜物教观念。生产关系的物象化是指生产关系表现为物象与物象之间的关系;社会生产规定的物化是指物在特定社会关系中获得的社会性质,表现为它作为物就具有的属性。资本的拜物教性质非常复杂,远不是生产关系的物象化和社会生产规定的物化能够透彻地说明的。拜物教观念指的是一种把物在一定的社会生产关系中获得的规定性看作物的自然属性的错认,它直接与社会生产规定的物化而不是生产关系的物象化有关。在拜物教观念的支配下,资本主义生产当事人混淆了生产的物质内容与社会形式,把资本主义生产方式抽象化、永恒化了。     

Use of multiple cluster analysis methods to explore the validity of a community outcomes concept map

Concept mapping is now a commonly-used technique for articulating and evaluating programmatic outcomes. However, research regarding validity of knowledge and outcomes produced with concept mapping is sparse. The current study describes quantitative validity analyses using a concept mapping dataset. We sought to increase the validity of concept mapping evaluation results by running multiple cluster analysis methods and then using several metrics to choose from among solutions. We present four different clustering methods based on analyses using the R statistical software package: partitioning around medoids (PAM), fuzzy analysis (FANNY), agglomerative nesting (AGNES) and divisive analysis (DIANA). We then used the Dunn and Davies-Bouldin indices to assist in choosing a valid cluster solution for a concept mapping outcomes evaluation. We conclude that the validity of the outcomes map is high, based on the analyses described. Finally, we discuss areas for further concept mapping methods research.     

研发过程中知识产权风险的控制

企业知识产权包括商标、专利和著作权等，它是企业重要的无形资产。目前，国内大多数企业还不够重视企业的知识产权保护，尤其是专利保护。在研发过程中的专利申请及保护不及时、不到位，导致企业从项目研发到市场占有的整个过程蒙受巨大风险。从知识产权保护角度，探讨了企业研发过程中有关风险的防范措施。     

中国由ICT渠道获取的国际R&D溢出门槛效应

采用2003-2012年中国除西藏外30个省市自治区的面板数据,考察信息通信技术渠道国际R & D溢出效应。运用面板单位根检验、协整检验、相关性分析、格兰杰因果检验、随机效应模型等计量方法,研究中国通过信息通信技术渠道获得的国际R & D溢出与当地全要素生产率之间的关系;建立Hansen非动态面板门槛模型,采用稳健标准差回归,检验各省份由信息通信技术渠道获得的国际R & D溢出门槛效应,并从产业转型升级和信息化建设角度分析存在门槛效应的原因。结果表明,中国大部分省份通过信息通信技术渠道获取的国际R & D溢出与全要素生产率有正相关关系;通过信息通信技术渠道获得的国际R & D溢出对当地技术进步的影响存在明显的地区差异和门槛效应。     

马克思恩格斯思想政治教育实践研究

马克思和恩格斯在革命时期与工人运动紧密结合,从事大量的理论宣传和教育实践活动,为当时的革命起到了非常重要的领航作用.他们从事思想政治教育工作,形式和方法多种多样:举办讲座,发表演说,创办报刊杂志,利用书信、谈心,利用议会等合法组织,同非马克思主义流派展开了思想和理论上的斗争.     

R-CMap—An open-source software for concept mapping

Planning and evaluating projects often involves input from many stakeholders. Fusing and organizing many different ideas, opinions, and interpretations into a coherent and acceptable plan or project evaluation is challenging. This is especially true when seeking contributions from a large number of participants, especially when not all can participate in group discussions, or when some prefer to contribute their perspectives anonymously. One of the major breakthroughs in the area of evaluation and program planning has been the use of graphical tools to represent the brainstorming process. This provides a quantitative framework for organizing ideas and general concepts into simple-to-interpret graphs. We developed a new, open-source concept mapping software called R-CMap, which is implemented in R. This software provides a graphical user interface to guide users through the analytical process of concept mapping. The R-CMap software allows users to generate a variety of plots, including cluster maps, point rating and cluster rating maps, as well as pattern matching and go-zone plots. Additionally, R-CMap is capable of generating detailed reports that contain useful statistical summaries of the data. The plots and reports can be embedded in Microsoft Office tools such as Word and PowerPoint, where users may manually adjust various plot and table features to achieve the best visual results in their presentations and official reports. The graphical user interface of R-CMap allows users to define cluster names, change the number of clusters, select rating variables for relevant plots, and importantly, select subsets of respondents by demographic criteria. The latter is particularly useful to project managers in order to identify different patterns of preferences by subpopulations. R-CMap is user-friendly, and does not require any programming experience. However, proficient R users can add to its functionality by directly accessing built-in functions in R and sharing new features with the concept mapping community.