Superimpose Material Deprivation Study on Poverty Old Age People in Hong Kong Study

Due to a range of shortcomings of income-based measures of poverty in older people, an alternative approach is proposed to counteract those shortcomings. Hong Kong index of material deprivation aims to identify a consensus-based list of goods and services that are necessities in society and to establish that these goods and services are not available due to their lack of affordability. This paper reports on the validation of Hong Kong index of material deprivation based on an approach proposed by Townsend (Poverty in the United Kingdom, Penguin Books, London, 1979) in Hong Kong. Through a survey of 2339 older Chinese people aged 65 and older, we found that a broad consensus regarding the necessities in their daily lives exists and Hong Kong index of material deprivation is a reliable and valid measure of poverty because its reliability and validity is good and acceptable. Finally, we have shown that the overlap between the poor in terms of income and the deprived is moderate and the profiles of those who are core poor (both poor in terms of income and the deprived) are more similar to those who are deprived than those who are poor in terms of income. Hong Kong index of material deprivation index has been developed, which offers a supplementary measure of poverty other than income poor and provides future avenues for improved understandings of poverty in old age.     

Child Poverty Among Hong Kong Ethnic Minorities

This paper analyzes the data from the Population Census of 2011 to identify the characteristics of poor ethnic minority groups in Hong Kong and the factors that are associated with child poverty among these ethnic minorities. The results show that the child poverty level varies between different ethnic groups and that ethnic minorities from developing nations are likely to have a higher poverty level. In particular, Pakistani children have the highest poverty rate among all ethnic groups. The results also show that Pakistani, Nepalese, and Mixed (Chinese and Asian) nationalities have a higher child poverty rate than that of Chinese individuals who constitute the majority of the Hong Kong population. The main reason for this is that, unlike their Chinese counterparts, some of these ethnic minority households have not benefited from their own human capital or their length of exposure in the local society in Hong Kong. And even if they have benefited, the positive impact of these factors on ethnic minority households was much weaker compared to that of Chinese households. These results suggest that ethnic minorities need to be categorized as a separate group in order to assess their specific needs, and assimilation policies, especially support on Chinese language learning, need to be an integral part of the government’s poverty reduction strategy to reduce child poverty among ethnic minorities.     

Disability beliefs and help-seeking behavior of depressed Chinese-American patients in a primary care setting

In this study the authors assessed the effects of disability beliefs, conceptualization and labeling of emotional disabilities, and perceived barriers on help-seeking behaviors among depressed Chinese Americans in a primary care setting. Forty-two Chinese Americans participated in semistructured interviews using established psychological measures and open-ended questions adapted from the Explanatory Model Interview Catalogue. The authors found that care utilization appears to be complicated by somatization of emotional problems, variations in causal attribution to depression, barriers to receiving mental health care, and the burden of comorbid physical conditions. Their findings highlight the importance of addressing these issues and educating patients about body-mind dialectic common to depression.     

Decomposition of K m,n into 4-cycles and 2t-cycles

In this paper we show the sufficient conditions for the decomposition of the complete bipartite graphs K _2m,2n and K _2n+1,2n+1−F into cycles of two different lengths 4 and 2t, t>2, where F is a 1-factor of K _2n+1,2n+1. After that we prove that the results are true for t=5 and 6. Dedicated to Frank K. Hwang on the occasion of his 65th birthday. An erratum to this article can be found at     

智能控制系统研究现状与展望

控制理论的发展正面临着新的突破，智能控制将成为控制理论发展中的一个新阶段．本文以近年来智能控制领域的研究成果为基础，结合国际上一些比较值得注意的动向，分析了智能控制系统的结构特点，对其研究现状进行了综述，进一步探讨了相关问题，并提出了智能控制系统今后可能的发展方向．     

Critique on the notion of model minority: an alternative racism to Asian American?

This research note attempts to probe how contemporary racism has evolved to replace physical characteristics with cultural traits by examining the notion of model minority in America. The analysis begins by positing that this notion manifests a problematic deployment of cultural differences. A short historical review justifies that model minority is generated and maintained by a stereotyped understanding of Asian tradition, especially Confucianism. Racial antagonism and class consciousness are then invoked by fostering essentialist ideas of cultural traditions. While America advocates its democratic system of inclusion, the logic of ‘model minority’ suggests an ‘internal exclusion’. The implications of model minority are thus that: (1) ‘race’ is replaced by ‘cultural difference’ – when cultural racism replaces biological racism, race is subsumed into a pure realm of cultural difference and race as a sociohistorical category becomes obscured; (2) the deployment of cultural differences creates an illusion that US society has already reached ‘color-blind’, and therefore neglects the social oppression and inequality along racial lines; (3) in the transforming process from a biologistic conception of race to a culturalist one, cultural differences are deployed to differentiate Asia(n) from American(n). Cultural differences are by all means essentialized, and race is furthermore reduced to essentialized cultural differences.     

Misspecification of a binary dependent variable in the logistic model controlling for the repeated longitudinal measures

Many medical applications are interested to know the disease status. The disease status can be related to multiple serial measurements. Nevertheless, owing to various reasons, the binary outcome can be measured incorrectly. The estimators derived from the misspecified outcome can be biased. This paper derives the complete data likelihood function to incorporate both the multiple serial measurements and the misspecified outcome. Owing to the latent variables, EM algorithm is used to derive the maximum-likelihood estimators. Monte Carlo simulations are conducted to compare the impact of misspecification on the estimates. A retrospective data for the recurrence of atrial fibrillation is used to illustrate the usage of the proposed model.     

Decomposition of Scatter Ratios Used in Monitoring Multivariate Process Variability

Wilks’ ratio statistic can be defined in terms of the ratio of the sample generalized variances of two non-independent estimators of the same covariance matrix. Recently this statistic has been proposed as a control statistic for monitoring changes in the covariance matrix of a multivariate normal process in a Phase II situation, particularly when the dimension is larger than the sample size. In this article we derive a technique for decomposing Wilks’ ratio statistic into the product of independent factors that can be associated with the components of the covariance matrix. With these results, we demonstrate that, when a signal is detected in a control procedure for the Phase II monitoring of process variability using the ratio statistic, the signaling value can be decomposed and the process variables contributing to the signal can be specifically identified.     

Detection and Interpretation of a Multivariate Signal Using Combined Charts

A control procedure is presented in this article that is based on jointly using two separate control statistics in the detection and interpretation of signals in a multivariate normal process. The procedure detects the following three situations: (i) a mean vector shift without a shift in the covariance matrix; (ii) a shift in process variation (covariance matrix) without a mean vector shift; and (iii) both a simultaneous shift in the mean vector and covariance matrix as the result of a change in the parameters of some key process variables. It is shown that, following the occurrence of a signal on either of the separate control charts, the values from both of the corresponding signaling statistics can be decomposed into interpretable elements. Viewing the two decompositions together helps one to specifically identify the individual components and associated variables that are being affected. These components may include individual means or variances of the process variables as well as the correlations between or among variables. An industrial data set is used to illustrate the procedure.