Social environmental selection as a mediator of gender, ethnic, and personality effects on college student drinking.

Structural equation modeling was used to test the mediational role of social environmental selection on alcohol use in cross-sectional samples of 447 students from a rural state university and 421 students from an urban private university. Results showed that male gender, White ethnicity, and sensation seeking were uniquely associated with greater alcohol use. Mediational analyses indicated that socioenvironmental factors (i.e., Greek involvement, friends' approval of drinking/getting drunk) were positively associated with alcohol use and significantly accounted for parts of the effects of ethnicity and sensation seeking, but not gender, on alcohol use. Results suggest that White students and those high on sensation seeking may drink more heavily in college, in part because they select social environments in which alcohol use is encouraged. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Youth gambling behaviors: An examination of the role of resilience.

The study of resilient children has overturned many deficit-focused models concerning the ontogenesis of children raised in adversity. This study explored the relationship between risk and protective factors, resilience, and youth gambling behavior. More specifically, this study examined the relative contribution of various risk and protective domains in relation to problem gambling behavior and examined whether youth identified as resilient (high risk exposure- high internalized protection) were as likely as those identified as vulnerable (high risk exposure-low internalized protection) to engage in excessive gambling behavior. The sample consisted of 1,273 students ages 12 to 19. The findings demonstrated that risk and protective factors each provide a unique contribution to the prediction model of gambling problems. Resilient and vulnerable youth differed significantly in their self-reported gambling severity. As well, resilient youth were not statistically distinguishable from low-risk exposure groups in terms of their gambling severity. Findings are interpreted with respect to resilience and prevention research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

建立气井产能方程及计算地层压力的新方法

气井产量取决于井底流动压力，所以气井产能方程应该能够直接描述流压与产量的关系。文中基于气井二项式产能方程，提出了可以直接反映流压与产量之间关系的二元回归形式的产能方程模型。介绍了该模型的基本原理并进行了实例分析。该模型可以预测地层压力。     

基于神经网络的降雨径流预报

本文将人工神经网络应用于二滩水电站以上支流鱼河的降雨径流预报，通过建模、计算、比较和分析可知，其非线性映射能力、自学习能力和灵活性，均能较好地反映降雨径流之间的非线性的、复杂的转换关系，结合流域水文特性并合理处理建模数据，值得进一步深入研究。     

洪水预报调度决策系统在抗击台风中的作用

洪水预报调度决策系统近年来在全国各地得到广泛的应用。简单介绍了洪水预报系统的系统组成及功能,分析了系统在抗击台风过程中的作用与效益,总结了系统多年的运行和维护经验。根据多年的运行经验,系统能及时提供雨、水情数据和高效的调度会商决策,提高防御台风、突发性暴雨等自然灾害的能力。     

试谈配料方案与质量预测的优化

主要探讨了以理论推算为主，根据物料成分建立不同配比方案，再以实践累积经验为辅组建系统配料方案。此系统方案的建立，克服了烧结原料品种变换频繁带来的质量波动，稳定了混匀料和烧结矿的化学成分。     

边坡稳定影响因素及稳定分析方法探讨

在明确边坡稳定性取决于边坡自身的结构特性、水、振动、人类活动、气候条件、风化及植被等内外因素综合作用的前提下,对边坡的稳定分析方法从定性到定量的发展过程进行了分析。定性分析法主要有地质历史力学分析法、工程经验类比法和图解法等;定量分析法主要有极限平衡法、有限单元法、能量平衡法、控制理论分析法、智能技术分析法以及综合分析法等。针对现有边坡稳定分析方法存在的利弊,提出了需要深入研究的问题,以完善边坡稳定性的研究内容。     

Determining stress intensity factors of composites using crack opening displacement

The main purpose of this paper is to find the mixed-mode stress intensity factors of composite materials using the crack opening displacement (COD). First, a series solution of the composite material with a crack was used to evaluate COD values. Then, the least-squares method was used to calculate mixed-mode stress intensity factors. This algorithm can be applied to any method that generates or measures COD values. The major advantage of this method is that COD values very near the crack tip are not necessary. Both finite element simulations and laboratory experiments were applied to validate this least-squares method with acceptable accuracy if the even terms of the series solution are removed.     

陕西南部路基病害分布特征及主要控制因素探讨

在统计分析的基础上,归纳总结了陕西南部各类路基病害的分布特征,并从自然因素和人为因素两个方面分析了各类路基病害发生的主要控制因素。     

Survivability of systems under multiple factor impact

The paper considers vulnerable multi-state series-parallel systems operating under influence of external impacts. Both the external impacts and internal failures affect system survivability, which is determined as the probability of meeting a given demand. The external impacts are characterized by several destructive factors affecting the system or its parts simultaneously.In order to increase the system's survivability a multilevel protection against the destructive factors can be applied to its subsystems. In such systems, the protected subsystems can be destroyed only if all of the levels of their protection are destroyed.The paper presents an algorithm for evaluating the survivability of series-parallel systems with arbitrary configuration of multilevel protection against multiple destructive factor impacts. The algorithm is based on a composition of Boolean and the Universal Generating Function techniques.Illustrative examples are presented.