甘薯几个主要性状的通径分析与育种选择

用徐著18X绵粉一号的F1代实生苗植株对甘薯的七个性状进行了通径分析。结果表明：薯干产量与鲜苕产量关系最密切（r＝0．9332**），与烘干率相关不显著（r＝0．1894），分枝数与鲜苕产量极显著相关（r=0．5078**），对鲜苕产量的贡献最大（直接贡献量0.8599）。分枝数可作为甘薯育种中著干产量选择的参考指标，以提高选择的准确性。     

我国网络经济的发展及其对工业信息化的驱动

本文论述了网络经济的信息化特征 ;提出了发展我国网络经济的若干条件 ,并就网络经济对我国工业信息化的驱动作用进行了探讨 ;阐明了发展网络经济 ,有利于加快我国工业化步伐 ,有利于推进我国传统产业的信息化 ,有利于实现我国企业管理网络化     

论高职教育发展的新生长点

网络教育的 4个特征 ,决定了其独有的优势与生命力。网络教育是一个系统工程 ,其涉及面广 ,覆盖面宽 ,影响面大 ,需要政企学诸方面协调合作。加盟网络教育是高职院校发展新的生长点。就如何合作开展网络教育提出若干思路。     

对马克思主义哲学教科书改革的几点思考

目前 ,高校迫切需要一部质量相当的适合年轻人阅读的马克思主义哲学教科书或参考书。编辑一部这样的书必须处理好五个方面的关系 :高雅与通俗的关系 ,功利与超越的关系 ,传承与创新的关系 ,简约与繁杂的关系 ,抽象与现实的关系     

兴奋剂现象——奥林匹克思想体系的悖论

奥林匹克运动有今天这样的地位和作用,是由于有了奥林匹克主义、精神、宗旨、格言等理论作为其强大的思想基础。但自从竞技运动职业化、商业化以及政治对奥林匹克的影响,兴奋剂成为困扰奥林匹克运动的一大难题。服用兴奋剂既违背了奥林匹克公平竞争的原则,又是对奥林匹克精神的挑战,是对其存在的基础——奥林匹克思想体系的动摇。     

大众文化传播与学校道德教育

本文从大众文化传播对青少年道德价值心理和道德观念影响的角度,深入剖析了大众文化传播对学校德育提出的挑战。指出,这种挑战实质上是对德育现代化的历史要求,德育现代化不只意味着方法、手段的现代化,更为重要的是价值体系的现代化。大众传媒应有不可推卸的责任。     

$$(\alpha , \tau )$$-Monitoring for event detection in wireless sensor networks

Detecting abnormal events is one of the fundamental issues in wireless sensor networks (WSNs). In this paper, we investigate \((\alpha ,\tau )\)-monitoring in WSNs. For a given monitored threshold \(\alpha \), we prove that (i) the tight upper bound of \(\Pr [{S(t)} \ge \alpha ]\) is \(O\left( {\exp \left\{ { - n\ell \left( {\frac{\alpha }{{nsup}},\frac{{\mu (t)}}{{nsup}}} \right) } \right\} } \right) \), if \(\mu (t) < \alpha \); and (ii) the tight upper bound of \(\Pr [{S(t)} \le \alpha ]\) is \(O\left( {\exp \left\{ { - n\ell \left( {\frac{\alpha }{{nsup}},\frac{{\mu (t)}}{{nsup}}} \right) } \right\} } \right) \), if \(\mu (t) > \alpha \), where \(\Pr [X]\) is the probability of random event \(X,\, S(t)\) is the sum of the monitored area at time \(t,\, n\) is the number of the sensor nodes, \(sup\) is the upper bound of sensed data, \( \mu (t)\) is the expectation of \(S(t)\), and \(\ell ({x_1},{x_2}) = {x_1}\ln \left( {\frac{{{x_1}}}{{{x_2}}}} \right) + (1 - {x_1})\ln \left( {\frac{{1 - {x_1}}}{{1 - {x_2}}}} \right) \). An instant \((\alpha ,\tau )\)-monitoring scheme is then developed based on the upper bound. Moreover, approximate continuous \((\alpha , \tau )\)-monitoring is investigated. We prove that the probability of false negative alarm is \(\delta \), if the sample size is Open image in new window for a given precision requirement, where Open image in new window is the Open image in new window fractile of a standard normal distribution. Finally, the performance of the proposed algorithms is validated through experiments.     

Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE

Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an assumed preference model, that are compatible with preference information elicited by a Decision Maker (DM). As a result of ROR, one gets necessary and possible preference relations in the set of alternatives, which hold for all compatible sets of parameters, or for at least one compatible set of parameters, respectively. In this paper, we propose an extension of ELECTRE and PROMETHEE methods to the case of the hierarchy of criteria, which was never considered before. Then, we adapt ROR to the hierarchical versions of ELECTRE and PROMETHEE methods.     

RNA multiple structural alignment with longest common subsequences

In this paper, we present a new model for RNA multiple sequence structural alignment based on the longest common subsequence. We consider both the off-line and on-line cases. For the off-line case, i.e., when the longest common subsequence is given as a linear graph with n vertices, we first present a polynomial O(n ²) time algorithm to compute its maximum nested loop. We then consider a slightly different problem—the Maximum Loop Chain problem and present an algorithm which runs in O(n ⁵) time. For the on-line case, i.e., given m RNA sequences of lengths n, compute the longest common subsequence of them such that this subsequence either induces a maximum nested loop or the maximum number of matches, we present efficient algorithms using dynamic programming when m is small. This research is partially supported by EPSCOR Visiting Scholar's Program and MSU Short-term Professional Development Program.     

On the analysis of experiments in affine resolvable designs

The paper gives explicit formulae for analysing an experiment carried out in an affine resolvable proper block design. They follow from a randomization model, decomposed into stratum submodels. Analyses within the four relevant strata, and then the combined analysis, are considered in details. The paper is essentially an extension of some results presented in recent books, by Caliński and Kageyama [2000. Block Designs: A Randomization Approach, Volume I: Analysis. Lecture Notes in Statistics, vol. 150. Springer, New York; 2003. Block Designs: A Randomization Approach, Volume II: Design. Lecture Notes in Statistics, vol. 170. Springer, New York].