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。     

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/.     

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.     

基于遗传算法SVM的基因表达谱数据分析

提出一种基于遗传算法的数据挖掘方法——TGASVM,它能够尽可能少地选出分类能力强的信息基因.实验表明与同类的算法相比,TGASVM算法无论是分类准确率,还是挑选信息基因数目都优于同类算法.     

反相高效液相色谱法测定化妆品中的酮麝香

 酮麝香是化妆品中的限用物质,对人体有致癌作用,因此,有必要对其含量进行分析。采用超声辅助提取法对不同基质类型的化妆品样品进行预处理。利用反相高效液相色谱法测定化妆品中的酮麝香。色谱条件为Kromasil C₁₈(250mm×4.6mm i.d.,5μm)色谱柱,流动相V(乙腈):V(水)= 80:20,流速1.0mL/min,检测波长235nm。结果表明,在此条件下,酮麝香在0.5-150 μg/mL范围内与相应的峰面积具有良好的线性关系(相关系数r为0.9998),线性回归方程为A=13500ρ-4829,回收率为90.5%-102.5%,RSD为0.45%-0.98%。因此,研究建立的利用反相高效液相色谱法测定化妆品中的酮麝香的方法准确、可靠、适用性广,可为酮麝香的分析及国家相关法规的制定提供一定的参考。     

灰潮土油菜复肥的产量品质效益

速效磷钾含量中上等的灰潮上研究,施用氮磷复肥能增强油菜植株氮磷的吸收能力,促进营养物质积累,增加角果数和粒数,增产极显著;并明显提高油菜籽粒蛋白质及氨基酸含量,降低硫甙含量。在氮磷复肥基础上配合施钾肥则能显著提高产油量,降低芥酸含量。     

高温冷却柴油机的燃油喷射特性和喷雾特性

目前,为了进一步提高车用涡轮增压柴油机的功率,而又不至于增大其散热器的尺寸,有利于车辆动力舱的布置,趋向于采用高温冷却发动机的气缸和燃烧室组件的技术。在高温冷却下,发动机的冷却水温度从80～90℃提高到120℃。这样可以减少冷却水所传走的热量,达到适当控制其冷却水散热器的尺寸的目的。 本文主要研究高温冷却柴油机在整机温度和环境温度提高之后,柴油机燃料密度和可压缩性的变化对燃油喷射和雾化特性的影响。     

直线滚动导轨考虑滑块体弹性变形时的刚度计算

本文应用赫兹（Hertz）弹性接触变形理论,以及有限元方法,分析了直线滚动导轨考虑滑块体弹性变形时的工作机理,即物理关系和几何关系,导出了承受垂直载荷时的刚度计算方法,并通过实验验证了本计算方法的有效性.