Diagnosis Aids in Multivariate Multiple Linear Regression Profiles Monitoring

Diagnosis aids in addition to detecting the out-of-control state is an important issue in multivariate multiple linear regression profiles monitoring; because a large number of parameters and profiles in this structure are involved. In this paper, we specifically concentrate on identification of profile(s) and parameter(s) which have changed during the process in multivariate multiple linear regression profiles structure in Phase II. We demonstrate the effectiveness of our proposed approaches through Monte Carlo simulations and a real case study in terms of accuracy percent.     

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...     

Effectiveness of Narrative Therapy on Communication Patterns for Women Experiencing Low Marital Satisfaction

The current study was designed as quasi-experimental with a pretest and post-test evaluating the efficacy of narrative therapy on communication patterns for women experiencing low marital satisfaction. Thirty women experiencing low marital satisfaction were chosen using convenience sampling and were randomly assigned to an intervention and waiting list group. The intervention group was treated individually by narrative therapy in eight 45-minute sessions. Results from repeated measurement ANOVA revealed significant differences between and within the groups and interaction between and within groups. Independent and paired t-test results showed significant improvement in the intervention group in their marital satisfaction, male-demand/female-withdraw, and total demand/withdraw with maintenance at eight weeks follow-up. Results included increased marital satisfaction, reduced male-demand/female-withdraw, and reduced total demand/withdraw. Thus, results show that narrative therapy is effective in increasing the marital satisfaction indicators of male-demand/female-withdraw, total demand/withdraw, and marital satisfaction.     

Domestic Violence in Nusa Tenggara Barat,Indonesia: Married Women's Definitions and Experiences of Violence in the Home

This article contributes to cross-cultural understandings of gender-based violence by examining women's definitions and experiences of domestic violence in Eastern Indonesia. The research was part of a larger study of human rights in maternal and neonatal health and involved a survey that integrated common anthropological practices in its development and delivery. This survey measured the prevalence of emotional and physical abuse, violence during pregnancy, unwanted sex and fear of violence among a sub-sample of 504 married Muslim women. Standard human rights definitions of violence were adapted to create locally appropriate definitions of economic violence, husband infidelity and unwanted sex within marriage. Survey responses indicated that the majority of women believed verbal abuse, threats of harm, economic violence, physical violence, control of women's mobility and a husband's public infidelity to constitute domestic violence. Our exploration of how Indonesian women understand domestic violence reinforces the salience of cultural specificity for different women's definitions of violence, as well as the applicability of internationally recognised definitions of gender-based violence.     

Mothers' Education and Survival of Female Children in a Rural Area of Bangladesh

In this paper it is investigated whether the positive effect of mothers' education on child survival is similar for boys and girls in Matlab, Bangladesh. The study is based on follow-up of 7,913 live births that occurred in the study area during the whole of 1982. The five independent variables included in the analysis are: sex of children, mother's education, mother's age at the time of birth, household economic condition, and health programme block. Hazard analysis shows that the positive effect of mother's education on child survival is different for boys and girls. For boys, a change in mother's education from no schooling to 1–5 years resulted in reducing the predicted risk of death by 45 per cent, while for the girls the reduction came to only seven per cent. Similarly, a change in mother's education from no schooling to six or more years of schooling resulted in a reduction of risk of 70 per cent for boys, while for girls it was only 32 per cent.     

Sectarian terrorism in Pakistan: Causes,impact and remedies

Although terrorism has been widely studied for its impact and potential determinants in Pakistan, the answer to the policy question regarding the role of external factors in influencing specifically the sectarian terrorism is not empirically well researched. The study, particularly, analyses the role of Pakistan’s regional foreign policy towards neighbouring India, Afghan wars, and the relations with bi-polar fundamental Muslim Block, the Kingdom of Saudi Arabia (KSA) and Iran, on sectarian (religious) terrorist incidents for the period 1973–2017. The findings suggest that economic cooperation with India which drive peace-making relations increases the sectarian terrorism. Both the bilateral loans disbursed by the KSA and trade relations with Iran, significantly increase the chances of sectarian terrorism in Pakistan by activating extremist (proxy) groups. However, the Afghan Wars that call for Pak-US strategic partnership helps Pakistan to control the religious terrorism.     

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.