不同类型智障学生步态特征的运动学分析

运用运动生物力学的录像解析法,对烟台市辅读学校三种不同类型轻度智障学生(各1名)进行了步态的运动学参数的分析,分别对其步态的时间、空间、时空参数进行了比较.结果显示:脑瘫学生在各参数中均存在异常;自闭症学生各参数与正常人差异不大;多动症学生在缓冲阶段脚尖主动下压明显,导致重心不稳定.     

An Ecological Model for Quantitative Risk Assessment for Schistosomiasis: The Case of a Patchy Environment in the Coastal Tropical Area of Northeastern Brazil

We developed a stochastic model for quantitative risk assessment for the Schistosoma mansoni (SM) parasite, which causes an endemic disease of public concern. The model provides answers in a useful format for public health decisions, uses data and expert opinion, and can be applied to any landscape where the snail Biomphalaria glabrata is the main intermediate host (South and Central America, the Caribbean, and Africa). It incorporates several realistic and case‐specific features: stage‐structured parasite populations, periodic praziquantel (PZQ) drug treatment for humans, density dependence, extreme events (prolonged rainfall), site‐specific sanitation quality, environmental stochasticity, monthly rainfall variation, uncertainty in parameters, and spatial dynamics. We parameterize the model through a real‐world application in the district of Porto de Galinhas (PG), one of the main touristic destinations in Brazil, where previous studies identified four parasite populations within the metapopulation. The results provide a good approximation of the dynamics of the system and are in agreement with our field observations, i.e., the lack of basic infrastructure (sanitation level and health programs) makes PG a suitable habitat for the persistence and growth of a parasite metapopulation. We quantify the risk of SM metapopulation explosion and quasi‐extinction and the time to metapopulation explosion and quasi‐extinction. We evaluate the sensitivity of the results under varying scenarios of future periodic PZQ treatment (based on the Brazilian Ministry of Health's plan) and sanitation quality. We conclude that the plan might be useful to slow SM metapopulation growth but not to control it. Additional investments in better sanitation are necessary.     

The Political Economy of Moral Conflict: An Empirical Study of Learning and Law Enforcement Under Prohibition

The U.S. Prohibition experience shows a remarkable policy reversal. In only 14 years, a drastic shift in public opinion required two constitutional amendments. I develop and estimate a model of endogenous law enforcement, determined by beliefs about the Prohibition‐crime nexus and alcohol‐related moral views. In turn, the policy outcomes shape subsequent learning about Prohibition enforcement costs. I estimate the model through maximum likelihood on Prohibition Era city‐level data on police enforcement, crime, and alcohol‐related legislation. The model can account for the variation in public opinion changes, and the heterogeneous responses of law enforcement and violence across cities. Results show that a 15% increase in the homicide rate can be attributed to Prohibition enforcement. The subsequent learning‐driven adjustment of local law enforcement allowed for the alcohol market to rebound to 60% of its pre‐Prohibition size. I conclude with counterfactual exercises exploring the welfare implications of policy learning, prior beliefs, preference polarization, and alternative political environments. Results illustrate the importance of incorporating the endogenous nature of law enforcement into our understanding of policy failure and policy success.     

The Comparison of Performances of Widely Used Cointegration Tests

The aim of this study is to compare performances of commonly cointegration tests used in literature in terms of their empirical power and type I error probabilty for various sample sizes. As a result of the study, it has been found that some tests are not appropriate in testing cointegration in terms of empirical power and type I error probability. As a result of simulation study, λ_max test for any values of ρ and sample sizes have been found most appropriate test in conclusion.     

New Shrinkage Parameters for the Liu-type Logistic Estimators

The binary logistic regression is a widely used statistical method when the dependent variable has two categories. In most of the situations of logistic regression, independent variables are collinear which is called the multicollinearity problem. It is known that multicollinearity affects the variance of maximum likelihood estimator (MLE) negatively. Therefore, this article introduces new shrinkage parameters for the Liu-type estimators in the Liu (2003) in the logistic regression model defined by Huang (2012) in order to decrease the variance and overcome the problem of multicollinearity. A Monte Carlo study is designed to show the goodness of the proposed estimators over MLE in the sense of mean squared error (MSE) and mean absolute error (MAE). Moreover, a real data case is given to demonstrate the advantages of the new shrinkage parameters.     

Assessing the relevance of higher education courses

The establishment of the European Higher Education Area has involved specifying lists of professional competencies that programs are expected to develop, and with this the need for procedures to measure how every course within a higher education program is aligned with the program's competencies. We propose an instrument for characterizing this alignment, a process that we call assessing the relevance of a course. Using information from the course syllabus (objectives, contents and assessment scheme), our instrument produces indicators for characterizing the syllabus in terms of a competence list and for assessing its coherence. Because assessment involves quality, the results obtained can also be used to revise and improve the course syllabus. We illustrate this process with an example of a methods course from a mathematics teacher education program at a Spanish university.     

How Satisfied are Spouses with their Leisure Time? Evidence from Europe

This paper first identifies the determinants of spouses’ satisfaction levels within the household with respect to their leisure time and, secondly, characterizes whether their preferences have some degree of altruistic or egoistic character in regard to this particular satisfaction. To that end, it formulates a theoretical framework from the collective family model whose stochastic formulations are estimated for 14 EU countries. The general empirical results first reveal that the presence of children has a significantly negative impact on the leisure satisfaction of both spouses. Then, increases in individual incomes lead to lower own leisure satisfaction levels. Both husbands and wives show egoistic behavior with respect to the labor and non-labor incomes (wage rate) of their respective spouses’ satisfaction levels.

What is Integration? A Comparative View from Immigrants and Municipal Policy

The ongoing project of citizenship construction in societies receiving international immigration demands a perspective that takes into account the interests, views and needs of all socio-demographic groups, including those of newcomers as potential new citizens. We interviewed representatives of 16 immigrant associations operating in the Spanish autonomous community of Galicia, reviewed immigration policy in 13 Spanish (Galician) municipalities, and interviewed 20 municipal government staff members who put these into practice. With this research, we aim to explore the perspectives of immigrants with respect to their own integration and to examine how these compare with local policies designed to facilitate these processes. By comparing the immigrant representatives' perceptions with local policy discourses and practice, our study reveals how local integration practice is not only inconsistent with its own policy discourse but also fails to consider and include immigrants' own understandings of what integration means and how it can be achieved.     

Multivariate partially linear regression in the presence of measurement error

AStA Advances in Statistical Analysis - In this paper, multivariate partially linear model with error in the explanatory variable of nonparametric part, where the response variable is m...     

Life Domain Satisfaction: A Portugal–France Comparison

The study was aimed at replicating on a Portuguese sample the seven-factor model of life appraisal (physical autonomy, love life, family life, social life, occupational life, finances, and leisure life) that was suggested by Salvatore and Munoz Sastre Social Indicators Research 53:229–255 (2001). A sample of 1,111 Portuguese participants, aged 17–85, was presented with the Appraisal of Life Questionnaire. The “domain” model of life appraisal satisfactorily accounted for the data gathered on the Portuguese sample. Regarding finances and occupational life, Portuguese scores were lower than French scores. Regarding the occupational score and the leisure score, a clear linear decrease as a function of age was evidenced in the Portuguese sample. Finally, regarding the family score and the financial score, a non-linear relationship with age was found. An increase was observed from young adult age to adult age, and a decrease was observed from adult age to older age. A strong decrease in the physical autonomy scores among Portuguese females was also observed.