工程项目代建制模式分析及发展对策

对工程项目代建制模式的优劣进行了探讨,指出实行代建制能够提高交易效率,改善工程建设市场的微观结构,铲除政府投资腐败现象等．同时揭示了代建制在推行过程中存在的一些问题,并针对具体问题给出了解决方案,强调应完善代建制的制度体系．加强代建企业自身建设及行业建设。     

变配电安装工程施工探讨

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发散思维教学与学生创新能力的培养

本文用发散思维方法于无机化学教学过程，从不同的方向，不同的侧面，不同的层次，横向拓展，纵向深入，将学生的思维积极引向探索创新，克服思维定势，激发思维潜能，有助于学生全面把握相关知识点的相互联系和创新能力的提高。     

西藏沙棘(Hippophae tibetana)的花期、花形态及其花朵数量的初步研究

文章通过对分布在西藏墨竹工卡县日多境内的西藏沙棘种群的样方调查,描述了西藏沙棘的花期、雌雄花的形态特征,比较两个不同海拔样带(4200m和4400m)内的西藏沙棘花朵数量的差异。结果表明,西藏沙棘在该研究地内的花期一般是5-6月,雄花比雌花的开放要早3～4天,一标准雄花枝产生的平均花朵数量比雌花枝平均花朵数量多,但两个海拔样带内的花朵数量无显著差异。     

浅议科技报刊编辑的素质培养

作为以传播科技信息为己任的行业报刊,要积极采取应对措施,努力提高科技报刊编辑人员的基本素质,加快新型编辑人才培养和队伍建设,是新的形势进一步推动科技类报刊编辑出版事业发展的关键.     

Performance prediction for Grid workflow activities based on features-ranked RBF network

Accurate performance prediction of Grid workflow activities can help Grid schedulers map activities to appropriate Grid sites.This paper describes an approach based on features-ranked RBF neural network to predict the performance of Grid workflow activities.Experimental results for two kinds of real world Grid workflow activities are presented to show effectiveness of our approach.     

新时期煤炭企业矿山管理新思路浅析

结合当前国内煤炭市场形势及国家煤炭企业综改政策，对新时期煤炭企业矿山管理的安全管理和经营管理等方面提出了创新性思考和可行性建议。     

形象思维与抽象思维相结合改进高中物理教学

教学中如果把抽象的物理概念、物理公式、物理过程同具体形象的物理实验、物理模型及可视性较强的情景图形联系起来,将形象思维与抽象思维巧妙地结合起来,引导学生在体验中学习、在实践中思考,不仅能有效地激发学生学习的积极性,提高学生的物理成绩,而且有利于培养学生的创新意识和实践能力。     

Community-Based User Domain Model Collaborative Recommendation Algorithm

Collaborative Filtering (CF) is a commonly used technique in recommendation systems. It can promote items of interest to a target user from a large selection of available items. It is divided into two broad classes: memory-based algorithms and model-based algorithms. The latter requires some time to build a model but recommends online items quickly, while the former is time-consuming but does not require pre-building time. Considering the shortcomings of the two types of algorithms, we propose a novel Community-based User domain Collaborative Recommendation Algorithm (CUCRA). The idea comes from the fact that recommendations are usually made by users with similar preferences. The first step is to build a user-user social network based on users’ preference data. The second step is to find communities with similar user preferences using a community detective algorithm. Finally, items are recommended to users by applying collaborative filtering on communities. Because we recommend items to users in communities instead of to an entire social network, the method has perfect online performance. Applying this method to a collaborative tagging system, experimental results show that the recommendation accuracy of CUCRA is relatively good, and the online time-complexity reduces to O.n/.     

Quantum programming: From theories to implementations

This paper surveys the new field of programming methodology and techniques for future quantum computers, including design of sequential and concurrent quantum programming languages, their semantics and implementations. Several verification methods for quantum programs and communication protocols are also reviewed. The potential applications of programming techniques and related formal methods in quantum engineering are pointed out.