情浸丹青写名园——小谈郝永明的古建园林绘画艺术

郝永明古建园林绘画作品另辟蹊径，难能可贵。郝永明的画，不仅给我国美术宝库增加了一份积累，也给古建园林艺术增添了珍贵的资料。     

OFA-II型定量荧光仪在油气勘探中的应用

定量荧光仪在现场应用中受到各种因素的影响:如岩屑样品浸泡时的干、湿;图谱是否出现了淬灭;环境温度的影响等等。文章通过具体事例给出解决这些问题的办法。     

RSFM网络及其在信号滤波中的应用

介绍了一种适用于模式识别的新型神经网络模型--局部有监督特征映射（Reglonal Supervised Feature Mapping,RSFM）网络,描述了该网络的拓扑结构和学习算法,研究了网络的基本性能,最后将其应用到了信号滤波中.理论研究和仿真实验表明,该网络结构简单、算法简洁,收敛速度快、识别精度高,适用于需要大样本训练、随机干扰严重的复杂模式的分类与识别.     

降雨空间分布模式识别

以广东省内186个站点的年降雨量分布为基础，把模式识别的聚类分析理论方法引入降雨空间特征分类研究中，进行降雨特征空间分布模式识别，以预测无雨量站点的降雨模式，从而分析水资源的空间分布模式，以便制订有效的水资源利用方案。结果表明，广东省年降雨量在空间上的分布可划分为6类模式；同时基于BP人工神经网络算法，建立了以高程、气温、蒸发量为主要参数的可判别和预测无雨量测站区域的降雨空间分布模式所属类别的模型，经过模型的学习和验证，效果较好。     

先进电子化政府基本模式及实现

电子化政府是运用信息技术创新政府服务的整合概念。建构电子政府已经成为世界范围内政府再造的新趋势。这里讨论了电子化政府基本模式及规划的内容和特点,并具体提出实现的模式、技术路径及方法。     

东海区海洋渔业资源环境的空间聚类分析

采用空间动态聚类的方法从1987-1998年的海洋渔业数据及其对应的温度和温度梯度数据集中抽取其时空分布模式。从结果看，东海区的渔业资源密度数据和对应的温度环境数据存在一定的空间分布模式，并且随季节变化非常明显。同时，对于空间数据挖掘方法与GIS的结合在海洋渔业领域的应用也进行了深入地讨论，认为采用空间聚类方法，相对于离散的海洋渔业数据集较适宜。     

Remarks on different reviews of Chinese character recognition

This paper gives an introduction and remarks on two review papers for Chinese character recognition. One review is made by Chinese authors, another is from American scientists. They investigate Chinese character from different language environments; they do the research from different points of view. Thus, a more comprehensive view on Chinese character recognition, which is an important branch of pattern recognition, can be provided to the readers. Meantime, one article pays attention to online process, and other paper deals with offline recognition, which complement each other. The author is the Associate Editor-in-Chief of Frontiers of Computer Science in China     

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)     

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．