Social determinants of under-five mortality in urban Bangladesh

Journal of Population Research - Rapid urbanization and persistent health inequity are two significant phenomena in contemporary developing world. Urban population, albeit with more modern...     

Optimising correlated QCHs in robust design using principal components analysis and DEA techniques

Taguchi method is found efficient for optimising process performance with a single quality characteristic (QCH) of a product or process. In practice, however, customers are concerned about multiple QCHs, which are usually correlated. This research proposes and implements an approach using principal components analysis (PCA) and two data envelopment analysis (DEA) models, including CCR and super efficiency, for optimising multiple correlated QCHs in robust design. The PCA is first utilised to obtain multiple uncorrelated linear combinations of principal components, which are the same number of QCHs and hence avoid the loss of information by ignoring some principal components. Then, these components are utilised in two DEA models to decide optimal factor levels. Three real case studies are provided for illustration; in all of which the proposed approach is found more efficient than some other techniques in literature, including engineering judgement, PCA, PCA and grey analysis, and utility concept. In conclusion, the proposed approach shall provide a great assistance to process/product engineers for obtaining robust design with multiple correlated QCHs.     

Compound-Estimator Based Cause-Selecting Control Chart for Monitoring Multistage Processes

Although there exists an increasing interest in monitoring and diagnosing multistage processes through the recent years, this issue has been overlooked to a large extent in cascade processes where the quality characteristics are liable to outliers. The presence of outliers has a debilitating effect on the detect-ability of the traditional cause selecting control charts and thus makes them unreliable. Therefore, the purpose of this article is to provide a robust approach to quality control in multistage processes. It is assumed that the process consists of two stages and the historical data with regard to both dependent quality characteristics contain outliers. A robust fitting procedure based on compound-estimator is employed to build the relationship between the quality variables and a robust monitoring approach is presented. Subsequently, simulation studies are undertaken to assess the performance of the robust scheme by means of the average run length (ARL) criterion. It is shown that the proposed robust procedure can much faster detect diverse types of shift.     

Testing fuzzy hypotheses based on vague observations: a <Emphasis Type="Italic">p</Emphasis>-value approach

This paper deals with the problem of testing statistical hypotheses when both the hypotheses and data are fuzzy. To this end, we first introduce the concept of fuzzy p-value and then develop an approach for testing fuzzy hypotheses by comparing a fuzzy p-value and a fuzzy significance level. Numerical examples are provided to illustrate the approach for different cases.     

The “Trojan Horse” Plot and the Fear of Muslim Power in British State Schools

In 2014, an alleged “Trojan Horse” plot to Islamise education in a number of schools attended predominantly by diverse Muslim pupils in the inner city wards of Birmingham raised considerable questions. Ofsted investigations of 21 schools explored these concerns at the behest of the then Secretary of State for Education, Michael Gove MP. At the head of this so-called plot, a certain Tahir Alam, once a darling of New Labour’s policies on British Muslim schools, faced the brunt of the media and political furore. Based on a series of face-to-face interviews with Alam in 2015 and 2016, this paper provides a detailed insight into the allegations, the context in which they emerged and the implications raised for young Muslims in the education system. Ultimately, as part of the government’s counter-terrorism policy the accusations of the “Islamisation” of education in these “Trojan Horse” schools foreshadowed the additional securitisation of all sectors of education. However, there was neither the evidence nor the legal justification to ratchet up anti-extremism education measures that eventually followed; namely the Counter-Terrorism and Security Act 2015. The consequences of the negative attention heightened existing Islamophobia but, paradoxically, they also limited the opportunities for de-radicalisation through education.     

Linking Food Security with Household’s Adaptive Capacity and Drought Risk: Implications for Sustainable Rural Development

In spite of green revolution and rapid economic growth, India’s vast population still suffers from hunger and poverty, especially in the rural areas. Moreover, drought adversely affects India’s economy by declining agricultural production and purchasing power. It also escalates rural unemployment which ultimately affects household food security. Our study investigated the food security of drought prone rural households in a broader context by linking the dimensions of food security with dimensions of climate change vulnerability. We used the primary data of 157 drought prone rural households of Odisha state in India for analysis. This study employed polychoric principal component analysis to construct an aggregate food security index. An ordered probit model was used to estimate the determinants of food security. The FSI showed that three-fourth of the respondents were facing food security issues with varying degrees. The estimates of ordered probit model indicated that joint family, education, migration and health insurance are key variables that determine food security, whereas drought adversely affected food security of rural households. Overarching strategies are required to effectively address food security issues in the wake of increased drought risk. This study provides an insight for policy makers in India and in similar south Asian countries who must consider food security in the light of drought.

     

Qualitative inquiry into women's menopause experiences in southeastern Iran

Menopause is defined as amenorrhea for one year. Signs and symptoms are categorized as physical and psychological changes, including depression, hot flushes and ageing. Woman's responses to menopause are governed by lifestyle factors. The purpose of this study was to determine how Iranian women experience menopause and hormone therapy. A qualitative inquiry was conducted through semistructured, in-depth interviews to explore study questions in 11 menopausal women. Participants had positive and negative menopause experiences. Negative menopause experiences are due to severity of symptoms. Menopause can be facilitated by increasing women's knowledge about this phase and ways to cope with it.     

Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros

Count data with excess zeros often occurs in areas such as public health, epidemiology, psychology, sociology, engineering, and agriculture. Zero-inflated Poisson (ZIP) regression and zero-inflated negative binomial (ZINB) regression are useful for modeling such data, but because of hierarchical study design or the data collection procedure, zero-inflation and correlation may occur simultaneously. To overcome these challenges ZIP or ZINB may still be used. In this paper, multilevel ZINB regression is used to overcome these problems. The method of parameter estimation is an expectation-maximization algorithm in conjunction with the penalized likelihood and restricted maximum likelihood estimates for variance components. Alternative modeling strategies, namely the ZIP distribution are also considered. An application of the proposed model is shown on decayed, missing, and filled teeth of children aged 12 years old.