Citizens’ Initiatives for Crisis Management and the Use of Social Media: An Analysis of COVID-19 Crisis in Bangladesh

Public Organization Review - This study analyses different social media-based citizens’ initiatives taken during the COVID-19 crisis in Bangladesh. By applying netnography on various Facebook...     

Unaddressed problems and research perspectives in scheduling blood collection from donors

Many optimisation problems arise in managing the Blood Donation (BD) supply chain. Most of them have been addressed in the literature, while other problems, e.g. donation scheduling, have not been sufficiently addressed so far. However, blood collection from donors may have a disruptive impact on the entire BD supply chain if not properly managed. For example, scheduling donation appointments based on some system metrics may improve the flow of blood units through the BD supply chain and increase the quality of service perceived by donors. In this short communication, we present the donation scheduling problem and highlight the lack of work in the literature that deals with this problem. Then, we analyse the impact of an unbalanced flow of blood units on the BD system and the benefits that may derive from a suitable appointment scheduling. Finally, we propose suggestions for future research in BD collection scheduling that may improve the BD process.     

Coming out within transnational families: intimate confessions under Western eyes*

This article is about ‘coming out’ and the process of disclosure of queer migrants within their transnational families. Despite debates about the decreasing relevance of coming out in contemporary western societies, we argue that the process of coming out continues to be a central mode of belonging and identity construction for queers in the context of transnational migration. Interviews with migrants from Poland, Russia and Turkey in Germany on their coming out experiences show that people rely on a variety of boundaries, i.e. gender, class and ethnicity, to construct a desired way of life. Theoretically, these insights indicate the need to reframe post-structuralist theories on power, most prominently advanced by Pierre Bourdieu and Michel Foucault, from an intersectional perspective. The findings in this paper pinpoint to the challenges of transnational social life queer migrants are confronted with through empirical illustrations of perceptions of differences and ambiguities between immigration and emigration contexts. Furthermore, we advocate that sexuality is a crucial dimension of migration processes determining self-definition in relation to people and places, which makes their stories of coming out always also stories of ‘coming home’.     

New Shrinkage Parameters for the Liu-type Logistic Estimators

The binary logistic regression is a widely used statistical method when the dependent variable has two categories. In most of the situations of logistic regression, independent variables are collinear which is called the multicollinearity problem. It is known that multicollinearity affects the variance of maximum likelihood estimator (MLE) negatively. Therefore, this article introduces new shrinkage parameters for the Liu-type estimators in the Liu (2003) in the logistic regression model defined by Huang (2012) in order to decrease the variance and overcome the problem of multicollinearity. A Monte Carlo study is designed to show the goodness of the proposed estimators over MLE in the sense of mean squared error (MSE) and mean absolute error (MAE). Moreover, a real data case is given to demonstrate the advantages of the new shrinkage parameters.     

Comparative Study of Generalized Estimating Equations and Logistic Regressions on Different Sample Sizes and Correlation Levels

In this study, it was aimed to determine accuracy of generalized estimating equations versus logistic regressions on different correlation levels and sample sizes. For this aim, two methods were compared with different sample sizes 10, 25, 50 and 100 and correlation levels 0.0, 0.3, 0.5 and 0.8. Result of this study showed that using generalized estimating equations could be preferred versus logistic regression when the sample size is over than 25 and correlation level is higher than 0.3 on data taken from studies with repeated measurements, but logistic regression could be better when the autocorrelations do not exist.     

The nested joint clustering via Dirichlet process mixture model

This article focuses on the clustering problem based on Dirichlet process (DP) mixtures. To model both time invariant and temporal patterns, different from other existing clustering methods, the proposed semi-parametric model is flexible in that both the common and unique patterns are taken into account simultaneously. Furthermore, by jointly clustering subjects and the associated variables, the intrinsic complex shared patterns among subjects and among variables are expected to be captured. The number of clusters and cluster assignments are directly inferred with the use of DP. Simulation studies illustrate the effectiveness of the proposed method. An application to wheal size data is discussed with an aim of identifying novel temporal patterns among allergens within subject clusters.     

Exploring the role of faith in resettlement among Muslim Syrian refugees

ABSTRACT

Over 95% of the refugees from Syria who have resettled in the United States are Muslim. The purpose of this qualitative study was to explore the role of the Islamic faith in contributing to resiliency among recently resettled refugees from Syria. Ten in-depth, semi-structured interviews were conducted with Syrian adults who had arrived in the United States between 3 months and 2 years prior to the study. Findings emphasized the primary role of the Islamic faith in the lives of participants. For participants in this study, identifying as Muslim was an essential part of their identity and served as a source of comfort, strength, pride, and humility. Parents in the study expressed fears that their children would lose their connection to their culture and would grow up to devalue the Islamic faith and traditional religious practices due to their exposure to American values which they viewed less strict regarding dress, alcohol consumption, and faith practices. Understanding the important role that the Islamic faith can have in providing a source of comfort, strength, and empowerment for Syrian refugees, and working to build infrastructure to support and sustain these faith traditions is an essential component of refugee resettlement in the United States.     

Prevalence of Sexual Aggression Victimization and Perpetration in a Sample of Female and Male College Students in Turkey

In Turkey, there is a shortage of studies on the prevalence of sexual aggression among young adults. The present study examined sexual aggression victimization and perpetration since the age of 15 in a convenience sample of N = 1,376 college students (886 women) from four public universities in Ankara, Turkey. Prevalence rates for different coercive strategies, victim-perpetrator constellations, and sexual acts were measured with a Turkish version of the Sexual Aggression and Victimization Scale (SAV-S). Overall, 77.6% of women and 65.5% of men reported at least one instance of sexual aggression victimization, and 28.9% of men and 14.2% of women reported at least one instance of sexual aggression perpetration. Prevalence rates of sexual aggression victimization and perpetration were highest for current or former partners, followed by acquaintances/friends and strangers. Alcohol was involved in a substantial proportion of the reported incidents. The findings are the first to provide systematic evidence on sexual aggression perpetration and victimization among college students in Turkey, including both women and men.