略论化学教学中的素质教育

中学化学教育是基础教育的重要组成部分,实施素质教育我国社会主义现代化建设事业的需要,它体现了基础教育的性质、宗旨与任务.这里从转变教育思想、提高自身素质、改革课堂教学方法、注重实验教学和学生的学习兴趣等方面对中学化学教育中的素质教育进行了探讨.     

General Job Satisfaction From a Developmental Perspective: Exploring Choice—Job Matches at Two Career Stages

The authors explored predictions of general job satisfaction at early and middle adulthood and uncovered several findings about developmental processes associated with job satisfaction. Tests of life‐span career theory propositions revealed that neither choice‐job congruence nor gender added significantly to predictions of job satisfaction at 2 career stages. Earlier occupational choice and current job added to predictions of midcareer (modal age 43 years) job satisfaction, especially for men. The predictability of job satisfaction is apparently influenced by the career stage when satisfaction is appraised.     

Interfamily economic exchange: A function of culture or economics?

This study explores differences in inter-household exchange of goods and services in Anglo- and Mexican-American families controlling for income level and for ethnicity. The extent of such exchange, its perceived importance to the family's quality of life, satisfaction with the exchange, and the relation of persons in the exchange process are examined. Significant differences are found more often between higher income Anglo- and Mexican-Americans than between low-income families, both in the family providing goods and services for others and in the receipt of them. Higher income Mexican-American families are more likely than their Anglo- counterparts to exchange with relatives. Ethnic effects are more prevalent in higher income households than in low-income households. Economic effects are more predominant than ethnic effects.This study contributes to interregional Agricultural Experiment Station Research Project NC-128, Quality of Life as Influenced by Area of Residence. Cooperating states: Arizona, California, Colorado, Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Nevada, Ohio, Texas.Flora L. Williams' current research interests include income adequacy, financial problems, and indicators of change in economic well-being. She is an Associate Professor, Consumer Sciences and Retailing, Purdue University, West Lafayette, IN 47907.     

Gendered Elements of the Alternative Agriculture Paradigm

Abstract The alternative agriculture paradigm has been a useful device to both define and direct a social movement toward a more sustainable agriculture. But because that paradigm was defined by male movement leaders, it reflects their gendered perspective and may be lacking elements that make it more useful for both women and men. In-depth interviews of women involved in sustainable farming organizations and on family farms experimenting with new practices validated the elements of the Beus and Dunlap paradigm: independence, decentralization, community, harmony with nature, diversity, and restraint, but also suggested the addition of two other elements that the women identified as part of an alternative agriculture vision: quality family life and spirituality. The highly gendered nature of agriculture in the V.S. and Canada, where male identity is highly conflated with the role of farmer in the conventional paradigm, may make it more difficult for men who have just joined the' movement to articulate the aspects of quality family life and spirituality which the women saw as critical.     

Chinese version of the OSI: A validation study

This article examines the construct validity of the Occupational Stress Indicator (OSI) in its Chinese version as well as its criterion-oriented validity against self-reported data on absenteeism and accidents, using a final sample of 1054 workers in the Chinese manufacturing and power industries. The divergent and convergent validities of five of the OSI scales—Job satisfaction, Physical ill-health, Mental ill-health, Type A behaviour and Control—were examined by a multimethod-multitrait matrix technique. Results indicated that the Chinese OSI had fairly good validity in relation to other well-established measures as well as relevant organizational behaviours.     

Is Tattooing a Risk Factor for Adolescents’ Criminal Behavior? Empirical Evidence from an Administrative Data Set of Juvenile Detainees in Taiwan

Juvenile crime affects not only the victims of the crime but also the delinquents’ future. How to prevent adolescent criminal behavior has become an important public policy issue. This study contributes to this interesting issue by examining the relationship between tattooing and adolescents’ criminal behavior. In particular, this study investigates whether or not having a tattoo/tattoos is connected to the incidence of various criminal activities, including: larceny, robbery, fraud, assault, drug use, and homicide. A unique sample of 973 juvenile detainees drawn from the administrative profiles in Taiwan and the coarsened exact matching method were utilized. Results show that compared to their nontattooed counterparts, tattooed juvenile detainees were significantly more likely to commit fraud, assault, drug abuse, and homicide by 3%, 13%, 9%, and 9%, respectively. In contrast, tattooing was not significantly associated with larceny or robbery. From a policy perspective, given the significant link between tattooing and criminal behavior, the presence of a tattoo in adolescents may serve as a valuable indicator regarding adolescents’ high probability of committing crimes.     

Information Seeking about Global Climate Change among Adolescents: The Role of Risk Perceptions, Efficacy Beliefs and Parental Influences

Global climate change is likely to have significant impacts on public health. Effective communication is critical to informing public decision making and behavior to mitigate climate change. An effective method of audience segmentation, the risk perception attitude (RPA) framework has been previously tested with other health behaviors and classifies people into 4 groups on the basis of their perceptions of risk and beliefs about personal efficacy. The 4 groups - indifference (low risk, weak efficacy), proactive (low risk, strong efficacy), avoidance (high risk, weak efficacy), and responsive (high risk, strong efficacy) - are hypothesized to differ in their self-protective behaviors and in their motivations to seek information. In this paper, we extend the RPA framework in two ways. First, we use it at the household level to determine whether parental classifications into the 4 groups are associated with their teenage children's classification into the same 4 groups. Second, we predict adolescent information-seeking behaviors on the basis of their and their parents' membership in the 4 RPA groups. Results (N = 523 parent-adolescent pairs) indicated that parental membership in the 4 RPA groups was significantly associated with children's membership in the same 4 groups. Furthermore, the RPA framework was a significant predictor of adolescent information-seeking: those in the responsive and avoidance groups sought more information on climate change than the indifference group. Family communication on global warming was positively associated with adolescents' information-seeking. Implications for interventions are discussed.     

Comparison between method of moments and entropy regularization algorithm applied to parameter estimation for mixed-Weibull distribution

Mixed-Weibull distribution has been used to model a wide range of failure data sets, and in many practical situations the number of components in a mixture model is unknown. Thus, the parameter estimation of a mixed-Weibull distribution is considered and the important issue of how to determine the number of components is discussed. Two approaches are proposed to solve this problem. One is the method of moments and the other is a regularization type of fuzzy clustering algorithm. Finally, numerical examples and two real data sets are given to illustrate the features of the proposed approaches.     

Two-Group Classification Using Neural Networks*

Artificial neural networks are new methods for classification. We investigate two important issues in building neural network models; network architecture and size of training samples. Experiments were designed and carried out on two-group classification problems to find answers to these model building questions. The first experiment deals with selection of architecture and sample size for different classification problems. Results show that choice of architecture and choice of sample size depend on the objective: to maximize the classification rate of training samples, or to maximize the generalizability of neural networks. The second experiment compares neural network models with classical models such as linear discriminant analysis and quadratic discriminant analysis, and nonparametric methods such as k-nearest-neighbor and linear programming. Results show that neural networks are comparable to, if not better than, these other methods in terms of classification rates in the training samples but not in the test samples.