对国有企业改革中资本运营问题的一些思考

利用资本运营对国有资产进行战略性改组 ,是当前深化国有企业改革 ,提高经济效益的一个根本途径。通过对资本运营的一般性分析 ,可深入解读国有企业资本结构的现状及存在的问题 ,并在此基础上提出通过培育资本市场来搞好资本运营 ,以实现国有企业脱困的根本目标     

浅析高校党外知识分子在教育和文化中的作用

根据高校党外知识分子的特点，高等学校应以党外知识分子的基本构成情况为出发点，加强自身建设，促进教育和文化事业的改革和发展；以爱国主义为结合点，提高高校党外知识分子教学，科研质量，为教育和文化事业的改革，发展、稳定服务；以“尊重知识、尊重人才”为切入点，在法律、制度上保证党外知识分子各方面的待遇，使他们留得住，安得下心，更好地为教育和文化事业而工作。     

高校后勤社会化改革的现实意义

高等学校后勤社会化改革是适应市场经济体制与日益发展的高等教育需要之间的唯一出路，也是我国高等教育发展史上的一场深刻革命。     

我国信贷资本市场运作分析

资本市场是市场经济的产物。我国的信贷资本市场是整个资本市场的重要组成部分，它运作的好坏，机制是否健全、灵活、高效，不仅决定着信贷资本的供求双方资本的质量和数量，而又在某种意义上也对国家的金融风险和经济安全产生巨大影响。     

山西省入境旅游市场竞争态及转移分析

山西是全国旅游资源大省之一，拥有众多品位极高的旅游资源，但强大的资源优势并没有很好的转化为经济优势，这些年入境旅游业绩一直位居全国中下游．为了尽快改变这种状况，使山西入境旅游业得以加速发展，分析研究其市场状况就是很有必要的了．本文借助市场竞争态模型对2000年～2002年和2003年～2005年山西省入境旅游客源市场的竞争态势进行对比分析，并对山西省入境旅游市场竞争态进行动态分析．在分析的基础上，提出了拓展山西入境旅游市场的几点建议．     

浅议临猗县枣业发展的现状与出路

文章论述了临猗县枣业发展的历程，通过总结经验、探寻原因和市场调查各方面的分析，认为枣业的发展大有前途。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

神经网络在可靠性分析中的应用

应用人工神经网络对舰炮发生故障的发射炮弹数进行了预测。借助前馈神经网络对非线性函数的逼近能力，对发生故障的发射炮弹数进行了单步预测，并与使用灰色数列预测的结果进行了对比，验证了人工神经网络进行可靠性预测的可行性。     

斜坡变形破坏的预测及防护

通过对斜坡变形破坏和影响因素的研究，探讨工程建设中斜坡变形破坏的预测及防护。