时效和重新训练对Cu－Zn－Al合金组织与记忆性能的影响

用约束训练法对时效后的Ｃｕ－Ｚｎ－Ａｌ形状记忆合金进行了重新训练。结果表明，在未发生贝氏体转变的条件下，时效所导致的记忆衰减可以通过重新训练予以改善。透射电镜分析指出，重新训练后，发生了马氏体的再取向，因时效而导致的细条状、台阶状变体大部分消除，且变体间的结合方式变为自协作性良好的孪晶关系，从而改善了合金的记忆性能。     

MCM用氮化铝共烧多层陶瓷基板的研究

通过实验优化AlN(氮化铝)瓷料配方及排胶工艺,对共烧W(钨)导体浆料性能及AlN多层基板的高温共烧工艺进行了研究,并对AlN多层基板的界面进行了扫描电镜分析。采用AlN流延生瓷片与W高温共烧的方法,成功地制备出了高热导率的AlN多层陶瓷基板,其热导率为190 W/(m·K),线膨胀系数为4.6106℃1(RT~400℃),布线层数9层,W导体方阻为9.8 m,翘曲度为0.01 mm/50 mm,完全满足高功率MCM的使用要求。     

有机电沉积涂料的新动向

阴极电沉积涂料是 2 0世纪 70年代以来发展起来的一种新的涂装方法 ,具有挥发性有机物 (VOCs)和有害空气污染物(HAPs)含量低、防蚀能力强、漆膜质量好、涂料利用率高、适合涂装结构复杂的构件和设备等特点。介绍了近年来阴极电沉积涂料研发的新动向。它们主要集中在有机双层电涂和高分子 聚电解质 /低聚物电解质复合物多层电涂体系 ,这些新的电涂体系在涂料的稳定性以及涂层的物理化学性质和力学性能方面具有明显的改进。     

基于HMM方法的动态手势轨迹训练性能研究

基于HMM(Hidden Markov Model,隐形马尔可夫模型)对动态手势轨迹的训练是手势识别的关键技术之一。本文对HMM的模型训练采用Baum.Welch算法,并分别从迭代次数,样本个数选取,以及模型初值选取等方面对动态手势轨迹的训练性能进行了研究。实验结果表明HMM方法对具有时空特性的动态手势轨迹识别是非常有效的。     

多层复合膜的成型技术

阐述了用AutoLisp程序模拟塑料熔体在2层复合膜机头内的流动情况，并介绍了复合膜机头的内部结构。     

Does the alliance cause good outcome? Recommendations for future research on the alliance.

Research has consistently documented that the quality of the therapeutic alliance is related to the outcome of diverse psychotherapies. Insufficient attention, however, has been directed at identifying the nature and magnitude of the causal relationship between the alliance and outcome. In this commentary, we discuss the major threats to causal interpretation of alliance-outcome correlations and provide suggestions for future research that would help clarify the extent to which the alliance causes positive outcomes. Assuming the alliance is a causal factor in relation to outcome, we provide recommendations for research on the alliance that would attempt to improve patient care by enhancing the alliance. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

新型埽工--笼埽在黄河控导工程中的应用

介绍了新型埽工——笼埽的结构形式、施工方法，其优点为：(1)克服传统埽工施工工序复杂、速度慢、效率低的缺点；(2)笼埽可工厂化生产，减少现场作业工序和作业面后移；(3)充分利用大型施工机械进行大体积单个笼埽结合机械化施工，作埽速度快、强度高；(4)减少柳料用量，利于环境保护．结合在兰考蔡集控导工程水中进占工程中的应用，从施工准备、机械配合与人员安排及施工流程等方面对笼埽施工技术作进一步说明，并总结了施工注意事项．最后，进行了效益评价并提出了扩大技术应用范围和进行水槽实验的完善思路．     

Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons

In this paper, we propose and investigate a new category of neurofuzzy networks—fuzzy polynomial neural networks (FPNN) endowed with fuzzy set-based polynomial neurons (FSPNs) We develop a comprehensive design methodology involving mechanisms of genetic optimization, and genetic algorithms (GAs) in particular. The conventional FPNNs developed so far are based on the mechanisms of self-organization, fuzzy neurocomputing, and evolutionary optimization. The design of the network exploits the FSPNs as well as the extended group method of data handling (GMDH). Let us stress that in the previous development strategies some essential parameters of the networks (such as the number of input variables, the order of the polynomial, the number of membership functions, and a collection of the specific subset of input variables) being available within the network are provided by the designer in advance and kept fixed throughout the overall development process. This restriction may hamper a possibility of developing an optimal architecture of the model. The design proposed in this study addresses this issue. The augmented and genetically developed FPNN (gFPNN) results in a structurally optimized structure and comes with a higher level of flexibility in comparison to the one we encounter in the conventional FPNNs. The GA-based design procedure being applied at each layer of the FPNN leads to the selection of the most suitable nodes (or FSPNs) available within the FPNN. In the sequel, two general optimization mechanisms are explored. First, the structural optimization is realized via GAs whereas the ensuing detailed parametric optimization is carried out in the setting of a standard least square method-based learning. The performance of the gFPNN is quantified through experimentation in which we use a number of modeling benchmarks—synthetic and experimental data being commonly used in fuzzy or neurofuzzy modeling. The obtained results demonstrate the superiority of the proposed networks over the models existing in the references.     

中式快餐发展战略与人才培养

本文讨论了我国快餐业的发展现状,进一步研究中式快餐发展战略,以及中式快餐业有关人才的培养现状和满足发展各类人才培养途径。