公路桥梁施工的招投标管理研究

在市场经济体制下,招投标管理对公路桥梁施工起到了极大的促进作用,文章从招投标管理的积极作用入手,分析了现阶段招投标管理的一些问题,并提出建议。     

HMCM-56分子筛催化苯酚与异丙醇烷基化反应的研究

研究HMCM-56分子筛上苯酚与异丙醇烷基化反应,探讨了反应条件包括温度,原料配比,催化剂的装填量,空速对催化剂催化性能的影响．通过X射线衍射、研究催化剂的酸性及晶相．得到最佳反应条件：T=220℃,WHSV=3．0h^-1,Catalyst Loading=0．3g,n（IPA）／n（Phenol）=0．8,苯酚的转...     

用硫酸铵母液联产湿法磷酸的可行性分析

研究探讨了将大型燃煤锅炉烟气氨法脱硫装置副产的硫酸铵母液送至磷酸铵装置联产湿法磷酸的可行性。经论证得出:硫酸铵母液联产湿法磷酸既可保持烟气脱硫装置长周期稳定运行,实现锅炉烟气达标排放,又可回收利用烟气中的硫资源;如果企业同时拥有烟气脱硫装置和磷复肥装置且相距较近,则联产的成功率更高。     

变配电安装工程施工探讨

变配电安装工程施工质量是保障电力安全运行的关键,关系到人民的生产生活。文章就变配电安装工程施工的技术要点进行具体阐述,并提出应注意的安装事项。     

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。     

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/.