A Decade of Sub-national Pro-poor Growth in Pakistan

The literature on subjective well-being has highlighted the negative effects associated with the restrictions and inequality imposed by the hukou system on China’s rural population. However, quantifying the cost of holding a rural hukou has generally been challenging because it can reflect unobserved individual characteristics related to educational and occupational choices. Thanks to RUMiC, a new longitudinal database on China, this limitation can be overcome by exploiting exogenous changes in hukou status due to land expropriation. The results support that receiving an urban hukou substantially enhances subjective well-being within the household, especially for males. The results complement a growing literature on subjective well-being focusing on China.     

English as a medium of instruction and the discursive construction of elite identity

Debates over medium of instruction, as ideological skirmishes, showcase discursive identity construction, reproduction, and contestation by different social groups. Drawing on such debates in letters to the editor and internet‐based newsgroup posts written by Bangladeshi English‐medium (EM) and Bangla‐medium (BM) educated writers, this article examines the construction of elite identity by the EM educated group. It illustrates how this group drew on changing discourses of elitism, language ideologies, and other identity resources to construct self‐identity that emphasized the achievement of qualifications and attributes rather than unearned social privilege, and how the territorially bound elite identity was transformed into deterritorialized cosmopolitan identity in the process. The article contributes to our understanding of the relationship between language, identity, and society by illustrating struggles for identity and status maintenance in education that is increasingly being dominated by English and English as a medium of instruction under the influence of neoliberal globalization. It also suggests how English and national languages may relate to (post)colonialism, nationalism, national identity, and social class in a globalized world.     

Convention on the Elimination of Discrimination Against Women and the Prospect of Development of Muslim Personal Law in Singapore

This paper examines Singapore's partial reservations to Articles 2 and 16 of the United Nations Convention on the Elimination of Discrimination against Women (CEDAW). It contends that the reservations justified on the basis of protecting the rights of the Muslim minority community to practice its personal law has unwittingly impeded the potential of reviewing and addressing significant gaps and limitations in the ways in which the laws are conceived and administered. More pertinently, the policy reinforces the dominance of traditionalism in the thinking of dominant stakeholders of the law. Taking the standpoint that the values of equality and non-discrimination on the basis of gender espoused by CEDAW are compatible with the objectives of Muslim law, this paper maintains that ratifying the relevant Articles of CEDAW will strengthen the process of the development of the Muslim personal law and address essentialist presumptions of the law. This perspective departs from the dominant discourse on the Muslim law and CEDAW which is framed in terms of conflict and polarity between the law and human rights, religious law and women's rights, and universal values versus cultural relativism.     

A clustering approach to detect multiple outliers in linear functional relationship model for circular data

Outlier detection has been used extensively in data analysis to detect anomalous observation in data. It has important applications such as in fraud detection and robust analysis, among others. In this paper, we propose a method in detecting multiple outliers in linear functional relationship model for circular variables. Using the residual values of the Caires and Wyatt model, we applied the hierarchical clustering approach. With the use of a tree diagram, we illustrate the detection of outliers graphically. A Monte Carlo simulation study is done to verify the accuracy of the proposed method. Low probability of masking and swamping effects indicate the validity of the proposed approach. Also, the illustrations to two sets of real data are given to show its practical applicability.     

Growth Effects of Religion Dependent Social Capital: An Empirical Evidence

Social Indicators Research - There is an imperceptible laxity in literature in finding socio economic effects of social capital by integrating role of religion. However, international surveys data...     

Exercise training in thermo-mineral spring water has beneficial effects on hemodynamic and health-related factors in young-older hypertensive women: A randomized control trial

ABSTRACT

The aim of the study was to evaluate the effects of an 8-week aerobic training in mineral geothermal water on hemodynamic variables, VO_2max, and body composition in sedentary hypertensive women. Twenty postmenopausal women (58.55 ± 3.28 years) were divided into an exercise group (2 days/week, 30–40 minutes, 60%–75% of HR_max) and control group. Compared to the control group, a signi?cant reduction in systolic blood pressure, heart rate, rate pressure product, body fat percent, and a signi?cant improvement in VO_2max values was found. Aerobic training in thermo-mineral spring water is a safe and effective training modality in the young-older hypertensive population.     

Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling

Abstract

In this article, we propose the best linear unbiased estimators (BLUEs) and best linear invariant estimators (BLIEs) for the unknown parameters of location-scale family of distributions based on double-ranked set sampling (DRSS) using perfect and imperfect rankings. These estimators are then compared with the BLUEs and BLIEs based on ranked set sampling (RSS). It is shown that under perfect ranking, the proposed estimators are uniformly better than the BLUEs and BLIEs obtained via RSS. We also propose the best linear unbiased quantile (BLUQ) and the best linear invariant quantile (BLIQ) estimators for normal distribution under DRSS. It is observed that the proposed quantile estimators are more efficient than the BLUQ and BLIQ estimators based on RSS for both perfect and imperfect orderings.     

Integration of process planning and production planning and control in cellular manufacturing

Organisations willing to succeed in global competition have to integrate their internal and external processes. This especially includes planning and production control (PPC) processes. Optimised allocation of the production resources and quick response to demand changes result in lower cost and improvement of production performance. Practitioners and researchers have been trying to achieve these goals using production planning techniques. Although the results are significant, it seems necessary to integrate production operations in order to improve the production performance. The goals, information and decisions taken in production planning and control and process planning are often very different and difficult to integrate in Cellular Manufacturing (CM) environments. Designing an efficient PPC system and integrating it with process planning in a cellular environment is of the same importance. The following paper proposes first a comprehensive framework of integrated process planning and production planning and control in CM. Then, with respect to this framework and utilising the domain knowledge in the area of CM systems, an integrated model based on Integrated Definition Modeling Language is developed. The application of the models has been considered as a case study for a production system in electronics and telecommunication sector in a plant in Iran. The validity and completeness of the proposed model is tested by a panel of experts in the areas of production planning and control in CM environments.     

Finding paths with minimum shared edges

Motivated by a security problem in geographic information systems, we study the following graph theoretical problem: given a graph G, two special nodes s and t in G, and a number k, find k paths from s to t in G so as to minimize the number of edges shared among the paths. This is a generalization of the well-known disjoint paths problem. While disjoint paths can be computed efficiently, we show that finding paths with minimum shared edges is NP-hard. Moreover, we show that it is even hard to approximate the minimum number of shared edges within a factor of $2^{\log^{1-\varepsilon}n}$ , for any constant ε>0. On the positive side, we show that there exists a (k?1)-approximation algorithm for the problem, using an adaption of a network flow algorithm. We design some heuristics to improve the quality of the output, and provide empirical results.