赋予针织服装个性魅力的女红工艺

将富于变化的女红工艺与单调的针织服装相结合，会使针织服装由平淡变为丰富，由呆板变为活泼。文章论述了在针织服装中运用女红图案、色彩、材料、针法的原理。     

Analytic methods for modeling longitudinal data from rolling therapy groups with membership turnover.

Interventions for a variety of emotional and behavioral problems are commonly delivered in the context of treatment groups, with many using rolling admission to sustain membership (i.e., admission, dropout, and discharge from group are perpetual and ongoing). The authors present an overview of the analytic challenges inherent in rolling group data and outline commonly used (but flawed) analytic and design approaches to addressing (or sidestepping) these issues. Moreover, the authors propose use of latent class pattern mixture models (LCPMMs) as a statistically and conceptually defensible approach for modeling treatment data from rolling groups. The LCPMM approach is illustrated with rolling group data from a group-based alcoholism pilot treatment trial (N = 128). Different inferences were made with regard to treatment efficacy under LCPMM vs. the commonly used standard group-clustered latent growth model (LGM); coupled with other preliminary findings in this area, inferences from LGMs may be overly liberal when applied to data from rolling groups. Continued work on data analytic difficulties in groups with membership turnover is critical for furthering the ecological validity of research on behavioral treatments. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

CSP连铸机大型液压缸的故障分析与改进

论述引进德国SMS连铸机大包托臂液压缸存在的寿命短问题，分析设计制造缺陷．通过增大缸头密封支持面、(φ600)内圆孔倒角、再增加一道软支撑环、缸头导向部分开润滑槽、改进球杆的润滑流道、柱塞杆整体淬火等措施，消除了原来的问题．同时分析了此项改进的技术经济效果．     

膜结构裁剪膜片展开的二次测地线法

本首先对目前应用较广的膜结构裁剪方法，即裁剪线生成与图形展开的方法进行了比较研究，并在此基础上提出了一种新的裁剪方法——二次测地线法．通过对有理论解算例的分析及对不同形式的膜结构进行裁剪，验证了本方法的正确性、可靠性及广泛适用性．     

组织协同进化分类算法用于雷达目标一维像识别

针对雷达目标一维像识别问题，提出了一种基于组织协同进化分类算法的识别方法．该方法与现有进化分类方法的不同之处在于它的进化操作直接作用于样本而不是规则，采用了一种自下而上的搜索机制，即先使若干样本的集合得到进化，再从进化结果中提取规则．这样有利于避免在进化过程中产生无意义的规则．该方法不需要进行特征提取；对于高维数据，不需要预先进行降维处理；没有复杂的运算，训练和识别的速度都很快．对3种飞机微波暗室实测数据的识别实验表明，该方法性能稳定，优于基于支撑矢量机与子波核函数的方法，识别率均达到了96％以上．实验中还对算法的抗噪能力进行了测试，获得了良好的效果．     

Symbolic control of visual attention: The role of working memory and attentional control settings.

This study examined how 1 symbol is selected to control the allocation of attention when several symbols appear in the visual field. In Experiments 1-3, the critical target feature was color, and it was found that uninformative central arrows that matched the color of the target were selected and produced unintentional shifts of attention (i.e., involuntary, initiated slowly, producing long-lasting facilitatory effects). Experiment 4 tested whether such selection is the result of an attentional filter or of a competition bias due to a match of incoming information against integrated object representations stored in working memory. Here, the critical feature was shape and color was irrelevant, but matching color arrows were still selected. Thus, features of objects in working memory will bias the selection of symbols in the visual field, and such selected symbols are capable of producing unintentional shifts of attention. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

埕东油田埕913断块沙三段砂砾岩油藏储层特征研究

以井点分析为基础，利用棱磁共振测井等资料，对埕东油田埕913断块沙三段储层岩石进行分类；应用岩石铸体薄片、扫描电镜、压汞、CT等资料，以砂砾岩储层孔隙结构特征为重点，对其储层特征进行了研究。通过CT分析，确定了储层孔隙度，为落实储量规模提供了依据。     

枣35断块沙三段玄武岩储层特征及成藏条件分析

从地质、地震、测井及试油试采等方面入手，并采用新技术，对自来屯构造枣35断块沙三段玄武岩储层特征及成藏条件进行了分析。其结果为该区下一步勘探、开发及进一步研究奠定了基础。     

基于自然地理形态的道路测设及其曲线方程的拟合

在山区村镇及风景旅游名胜区的建设中，其道路的曲线测设，往往要基于自然地理形态进行，也就是路径的选择，有时具有不可选择性，且要求与实地具有最大的符合性。因此，其测设的作业方法不同于一般意义的道路测设；其曲线方程的建立，也是极其困难的。本就基于自然地理形态的道路测设工作的曲线类型的选择、曲线的拟合方法、曲线方程的建立及其数据的计算，提出了利用CAD技术进行曲线拟合、曲线方程的建立、曲线计算的实用技术方法。     

Simultaneous translation of lectures and speeches

With increasing globalization, communication across language and cultural boundaries is becoming an essential requirement of doing business, delivering education, and providing public services. Due to the considerable cost of human translation services, only a small fraction of text documents and an even smaller percentage of spoken encounters, such as international meetings and conferences, are translated, with most resorting to the use of a common language (e.g. English) or not taking place at all. Technology may provide a potentially revolutionary way out if real-time, domain-independent, simultaneous speech translation can be realized. In this paper, we present a simultaneous speech translation system based on statistical recognition and translation technology. We discuss the technology, various system improvements and propose mechanisms for user-friendly delivery of the result. Over extensive component and end-to-end system evaluations and comparisons with human translation performance, we conclude that machines can already deliver comprehensible simultaneous translation output. Moreover, while machine performance is affected by recognition errors (and thus can be improved), human performance is limited by the cognitive challenge of performing the task in real time.