Classification rules for identifying individuals at high risk of developing myocardial infarction based on ApoB,ApoA1 and the ratio were determined using a Bayesian approach

We have developed a new approach to determine the threshold of a biomarker that maximizes the classification accuracy of a disease. We consider a Bayesian estimation procedure for this purpose and illustrate the method using a real data set. In particular, we determine the threshold for Apolipoprotein B (ApoB), Apolipoprotein A1 (ApoA1) and the ratio for the classification of myocardial infarction (MI). We first conduct a literature review and construct prior distributions. We then develop classification rules based on the posterior distribution of the location and scale parameters for these biomarkers. We identify the threshold for ApoB and ApoA1, and the ratio as 0.908 (gram/liter), 1.138 (gram/liter) and 0.808, respectively. We also observe that the threshold for disease classification varies substantially across different age and ethnic groups. Next, we identify the most informative predictor for MI among the three biomarkers. Based on this analysis, ApoA1 appeared to be a stronger predictor than ApoB for MI classification. Given that we have used this data set for illustration only, the results will require further investigation for use in clinical applications. However, the approach developed in this article can be used to determine the threshold of any continuous biomarker for a binary disease classification.     

Microcredit for rural poverty alleviation and social well‐being: A study of Sabah,Malaysia

Microcredit is an influential intervention used to alleviate poverty and improve social well‐being in rural communities in Sabah, Malaysia. This study examined the effects of a microcredit scheme, Amanah Ikhtiar Malaysia (AIM), on the well‐being of these communities. Using a survey method, a pre‐tested interview schedule was administered to 277 AIM recipients in Sabah, Malaysia. Social well‐being was examined based on the three indicators of Midgley's social development approach: the management of problems, the fulfillment of basic needs, and social opportunities provided. AIM microcredit schemes were successful in improving the well‐being of AIM recipients, although the recipients faced a number of problems, including unemployment, lack of education, and access to public services and healthcare facilities. The findings of this study represent a useful guideline to the AIM authority, development practitioners, policymakers, and governmental organization and non‐governmental organization workers.     

Social harmony and community wellbeing

This special issue explores social harmony and community wellbeing with some examples of Asian countries. These are essential tools to fight against many social problems and meet elucidation. While these concepts are not documented well in social work literature, the articles on this special issue will provide thoughtful and valuable guidelines to the readers, academics, policy makers and researchers for expanding and improving social and community services.     

A speciation-based bilevel niching method for multimodal truss design problems

Truss design is a well-known structural optimization problem that has important practical applications in various fields. Truss design problems are typically multimodal by nature, meaning that it offers multiple optimal solutions concerning the topology (combinatorial optimization problem) and/or sizes (continuous optimization problem) of the members, but they are evaluated to have similar or equally good objective function values. From a practical standpoint, it is desirable to find as many alternative designs as possible, rather than finding a single design, as often practiced. Several techniques based on classical and metaheuristic optimization methods have been developed for simultaneous optimization of topology and size of a truss. However, all these methods unable to find multiple topologies and their corresponding size solutions in a single run. A few metaheuristics incorporating niching techniques have been developed for finding multiple topologies for the truss design problem, but these studies ignored the fact that for each known topology, multiple design solutions in terms of size can be found. To address this issue, this paper proposes a bi-level truss formulation and subsequently a speciation-based bilevel niching method (BiL-NM) using such a formulation. The BiL-NM consists of a modified SPSO niching method which is robust to find multiple topologies and a canonical PSO for their corresponding size solutions. Extensive empirical studies are carried out to analyze the accuracy, robustness, and efficiency of the BiL-NM. The results confirm that the proposed BiL-NM is superior in all these three aspects over the state-of-the-art methods on several low to high-dimensional truss design problems.

     

Intersectional oppression: A reflexive dialogue between Muslim academics and their experiences of Islamophobia and exclusion in UK Higher Education

Islamophobia has seen a disturbing rise in British and international contexts; however, we see limited attention being afforded to this in the context of Higher Education (HE), particularly the impacts of this through the lens of staff members. HE continues to frame itself as a post-racial, secular, progressive, and inclusive space, yet is perpetually opposed due to its surreptitious and violent incidences of racism, classism, sexism and ableism. We discuss here, using liberatory-based and autoethnographic methodologies, Muslim staff members' experiences and insights of Islamophobia in UK HE institutions (HEIs)—a severely underrepresented group and largely invisible issue in the academy. We highlight the need to expose, challenge, question, and destabilise the continuous victimisation of Muslims within these spaces and beyond. We unpick issues related to intersectionality and different levels of exclusion by exploring the sense of belonging felt by Muslim staff; specific challenges and episodes of Islamophobia faced; and ways the sector can dismantle Islamophobia and begin developing practices to genuinely support anti-Muslim, anti-racist inclusion and social justice.     

Computational Social Science for Nonprofit Studies: Developing a Toolbox and Knowledge Base for the Field

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - How can computational social science (CSS) methods be applied in nonprofit and philanthropic studies? This paper...