课堂教学质量的模糊综合评价

采用模糊数学法建立课堂教学质量模糊评价模型，对课堂教学质量进行了二级综合评价，并通过范例分析得出了评价过程和结论．提示对通过学生调查问卷得出的课堂教学质量评价结果运用模糊数学法进行分析，可得出较为客观、合理的分析结果。     

基于多元统计理论的干部评价模型与实证分析

以多元统计分析原理为依据，运用聚类分析、主成分分析、碎石检验准则对高校党政管理干部做出综合评价及实证分析，可以得出干部的分类和综合排序情况，为高校组织部门和人事部门考核、选拔、任用干部提供科学的测评依据。     

从样本数据中提取模糊规则的算法研究

如何从大量数据中提取或“挖掘”知识是数据挖掘领域中的研究热点之一。利用神经网络在提取规则时的优势从样本数据中提取模糊规则。介绍了一系列算法 ,其中朴素提取规则仅是对样本数据粗糙的挖掘。参照模糊控制中的模糊化思路 ,可在挖掘问题中引入模糊语言变量。根据隶属函数的训练 ,模糊语言的筛选 ,属性间是否存在相关性的判断等问题 ,利用神经网络中的BP算法提出了双向训练算法。在已完成训练的网络进行网络剪裁 ,最后在完成剪裁的网络上 ,先确定候选规则再利用聚类结果从候选规则中提取模糊规则。     

Thermal behaviour and particle size evaluation of primary clusters in a water-based magnetic fluid

This paper reports the experimental research on thermal behaviour and particle size evaluation of primary clusters of ferromagnetic nano-particles in a water-based magnetic fluid. The magnetic fluids are suspensions of ultra fine particles coated with a molecular layer of dispersant in a liquid carrier such as water or kerosene. The particles are coated with single- or double-layer of surfactant to achieve stable dispersion. Numerous experimental studies have indicated the existence of the primary cluster of ferromagnetic nano-particles in a water-based magnetic fluid. The purpose of this research is to evaluate the particle size of the primary clusters by applying the Einstein's equation for Brownian motion assuming that the primary cluster has a spherical-shape. The thermal behaviour of ferromagnetic nano-particles in magnetic fluids is investigated through the micro visualization using the optical darkfield microscope system and particle tracking velocimetry data processing system. Real-time visualization of the Brownian motion of primary clusters in a water-based magnetic fluid was carried out. The experimental results clarified that the primary cluster size depends upon the concentration of the ferromagnetic nano-particle in the magnetic fluid.     

Vibration Control of Wind-Excited Tall Buildings Using Sliding Mode Fuzzy Control

A sliding mode fuzzy control (SMFC) is proposed to design a controller for the third-generation benchmark problem on wind-excited buildings. A distinctive feature in vibration control of large civil infrastructure is the existence of large disturbances, such as wind, earthquake, and sea wave forces. Those disturbances govern the behavior of the structure; however, they cannot be precisely measured, especially for the case of wind excitations. Since the structural accelerations are measured only at a limited number of locations without the measurement of the wind forces, the structure of the conventional control may have the feedback loop only. The general structure of the SMFC, proposed herein, is composed of a compensation part and a convergent part. The compensation part prevents the system from diverging, and the convergent part directs the system to the sliding surface. The compensation part uses not only the structural response measurement but also the disturbance measurement, so the SMFC has a feedback loop and a feedforward loop. To realize the virtual feedforward loop for the wind-induced vibration control, a disturbance estimation filter is introduced. The structure of the filter is constructed based on an autoregressive model for the stochastic wind force. This filter estimates the wind force at each time instance based on the measured structural responses and the stochastic information of the wind force. For verification of the proposed algorithm, numerical simulation is carried out on the benchmark problem for wind-excited buildings. The results indicate that the present control algorithm is efficient for reducing the wind-induced vibration.     

Structure of Anxiety and Depression in Urban Youth: An Examination of the Tripartite Model.

In this study, the authors examined the validity of the tripartite model of anxiety and depression (L. A. Clark & D. Watson, 1991) in a community epidemiological sample of 467 urban African American youth. Participants completed the Baltimore How I Feel (N. S. Ialongo, S. G. Kellam, & J. Poduska, 1999), a measure of anxiety and depressive symptoms, in Grades 6 and 9. Confirmatory factor analyses indicated that a 3-factor model representing the tripartite model fit the data well and better than competing models. Longitudinal confirmatory factor analysis revealed configural invariance of the tripartite factor structure. However, a predicted divergence among dimensions over time was not evidenced. High correlations among the tripartite dimensions suggest that anxiety and mood symptoms may not differentiate in urban youth. Results are discussed in terms of the ethnicity and urban context of this community sample. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Identifying Psychopathy Subtypes on the Basis of Personality Structure.

The authors used model-based cluster analysis to identify subtypes of criminal psychopaths on the basis of differences in personality structure. Participants included 96 male prisoners diagnosed as psychopathic, using the Psychopathy Checklist Revised (PCL-R; R. D. Hare, 1991). Personality was assessed using the brief form of the Multidimensional Personality Questionnaire (MPQ-BF; C. J. Patrick, J. J. Curtin, & A. Tellegen, 2002). The best-fitting model yielded two clusters. Emotionally stable psychopaths were characterized by low Stress Reaction and high Agency. Aggressive psychopaths were characterized by high Negative Emotionality, low Constraint, and low Communion. These results suggest that psychopaths as defined by the PCL-R includes distinct subtypes, distinguishable in terms of personality structure, that may reflect different etiologies. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The Validity of the Five-Factor Model Prototypes for Personality Disorders in Two Clinical Samples.

The authors examined the validity of D. R. Lynam and T. A. Widiger's (2001) prototypes for personality disorders (PDs) derived from the facets of the 5-factor model (FFM) of personality in 2 clinical samples. In the 1st sample (N = 94), there was good agreement between the prototypes generated by experts and the profiles reported by patients. These FFM PD similarity scores also demonstrated good convergent and discriminant validity with results from a semistructured interview and a self-report measure of Axis II pathology. In the 2nd sample (N = 132), the FFM PD similarity scores demonstrated excellent longitudinal stability and good predictive validity with regard to consensus ratings of PD features. The implications of these findings are discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Psychometric Evaluation of the Parent Situation Inventory: A Role-Play Measure of Coping in Parents of Substance-Using Adolescents.

This article reports on the generalizability, reliability, and construct validity of the Parent Situation Inventory (PSI), a role-play measure of coping skills in parents experiencing problems from an adolescent's drug and alcohol use. Generalizability was robust (.80) and alternate form and test-retest reliability were satisfactory. PSI skillfulness was negatively related to the parent's own substance use and to the adolescent's alcohol use. The PSI shows promise as a reliable and potentially valid measure of coping in this population and has direct implications for developing and evaluating skill-based parent training programs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)