African American Adolescents’ Psychological Well-Being: The Impact of Parents’ Religious Socialization on Adolescents’ Religiosity

The dearth of research literature on the religious beliefs and practices of African American adolescents has led to increased empirical inquiry, yet a lack of research considers African American adolescents’ religious beliefs and practices as an important developmental milestone. This study explored how African American parents’ religious socialization affected youth religious experiences and served as a culturally specific strength-based asset that promotes psychological well-being. Our sample included a socioeconomically diverse sample of 154 African American families. Accounting for demographics, adolescents’ relationship and communication with God were found to be associated with a healthier psychological well-being. Additionally, parents’ religious socialization impacted the relationship between youths religious beliefs and practice and psychological well-being. Overall, results suggest that parents’ and adolescents’ religious beliefs can promote psychological well-being.     

Mosque-Based Social Support and Collective and Personal Self-Esteem Among Young Muslim American Adults

This study investigated the association between congregational relationships and personal and collective self-esteem among young Muslim American adults. Mosque-based emotional support and negative interactions with congregants were assessed in relation to personal and collective self-esteem. Data analysis was based on a sample of 231 respondents residing in southeast Michigan. Results indicated that receiving emotional support from congregants was associated with higher levels of collective self-esteem but was unassociated with personal self-esteem. Negative interaction with congregants was associated with personal self-esteem. Together, these findings indicate that mosque-based emotional support and negative interactions function differently for personal and collective self-esteem, which provides evidence that although personal and collective self-esteem are interrelated constructs, they are also conceptually discrete aspects self-evaluations.     

Was <Emphasis Type="Italic">that</Emphasis> Racist? An Experimental Study of Microaggression Ambiguity and Emotional Reactions for Racial–Ethnic Minority and White Individuals

This study examined racial–ethnic minority and white identified participants’ perceptions of racial microaggressions in four video scenarios involving a white professor and a black student. Participants (N = 261) were randomly assigned to observe a one of the four video conditions. The video involved an interaction with no microaggression, a very ambiguous microaggression, an ambiguous microaggression, or an overt microaggression. Participants rated their observations of (a) negative emotions toward the committer (white professor) and receiver (black student) of the microaggression, (b) positive emotions toward the committer and receiver of the microaggression, (c) perceptions on the degree of biasedness of committer, and (d) degree of positive perceptions of the committer. Analysis compared ratings of two groups, including racial–ethnic minority and white observers. We found a significant difference between the overt condition and other three conditions on negative emotions, positive emotions, and attributions of the professor (i.e., cultural biasedness and positive perceptions). However, there were no differences between the no microaggression, very ambiguous, and ambiguous conditions. No significant differences between racial–ethnic minority and white participants’ ratings were detected. Implications for training, practice, and future research are offered in our discussion.     

Who is More Likely to “Not See Race”? Individual Differences in Racial Colorblindness

Many Americans endorse a colorblind racial ideology, meaning they strive to “not see race” and emphasize sameness and equal distribution of resources across racial lines. Currently, there is an absence of studies examining the personality and individual difference correlates of racial colorblindness. The current study investigated the association between three different aspects of racial colorblindness (unawareness of racial privilege, unawareness of institutional discrimination, and unawareness of blatant racism) and the Big 5, empathy, and aggression in white undergraduates. Our results revealed two divergent patterns. Unawareness of racial privilege was related to lower openness and perspective taking, but more empathic concern, whereas unawareness of blatant racism and unawareness of institutional discrimination were related to lower agreeableness, perspective taking, and empathic concern. These results are discussed in relation to the broader literature on prejudice and personality.     

(Dis)locating nations in the World Cup: football fandom and the global geopolitics of affect

The World Cup, as a tournament that pits national teams against one another, initially seems to be a site where support for sports is tied to nations. However, situating this sporting event at the intersection of discourses of globalization, transnational circulation of capital and populations, and theories of fandom, our examination of diasporic populations found that the choice is not a simple one between ‘origin nation’ and ‘residence nation.’ Instead, the decision of which team to support relies much more on an attenuated, complex notion that we call transnational affinity. We examine this concept in relation to the context of transnational flow of players, media, spectators, and capital, contending that locating nations or national preference in the World Cup requires understanding the contemporary de- or trans-nationalization of not only sports but identity itself beyond the binary of national and global.     

Estimation of Deprivation Level Functions using a Numerical Rating Scale

Evaluating and quantifying human suffering in humanitarian operations offers an innovative and potentially powerful way to assess the performance of humanitarian logistics (HL) and help build optimization models. Previous studies have suggested deprivation cost as a metric and have estimated deprivation cost functions for water using willingness‐to‐pay. Our study proposes deprivation levels, defined as the degree of human suffering caused by lack of access to a good or service, and estimates deprivation level functions using a numerical rating scale. Analyzing data collected from respondents with and without disaster experience, we find that individuals in the latter category estimate deprivation differently from the beneficiaries of disaster relief. Our study demonstrates that deprivation levels can be expressed as logistic growth functions with a typical S‐shape, and that these can be integrated into HL optimization models to better account for human suffering.     

The Role of Media Exposure on Coordination in the Humanitarian Setting

Despite high demand and resource limitations, humanitarian organizations (HOs) typically do not share resources and/or coordinate in the field. While coordination enhances operational performance and saves costs, the general perception is that it dilutes the media attention that individual organizations might receive, and negatively influences their future donation income. In this study, we empirically unveil the impact of media exposure and operational performance on the donations obtained by HOs. Then, based on the empirical results, we develop a stylized model to characterize the structure of preferred coordination policies with respect to an organization's funding source and main mandate. Our findings shed light on the incentives and dynamics that drive behaviors in humanitarian operations and provide insights for policy makers on designing and implementing mechanisms that encourage humanitarian coordination.     

On the kidney exchange problem: cardinality constrained cycle and chain problems on directed graphs: a survey of integer programming approaches

The Kidney Exchange Problem (KEP) is a combinatorial optimization problem and has attracted the attention from the community of integer programming/combinatorial optimisation in the past few years. Defined on a directed graph, the KEP has two variations: one concerns cycles only, and the other, cycles as well as chains on the same graph. We call the former a Cardinality Constrained Multi-cycle Problem (CCMcP) and the latter a Cardinality Constrained Cycles and Chains Problem (CCCCP). The cardinality for cycles is restricted in both CCMcP and CCCCP. As for chains, some studies in the literature considered cardinality restrictions, whereas others did not. The CCMcP can be viewed as an Asymmetric Travelling Salesman Problem that does allow subtours, however these subtours are constrained by cardinality, and that it is not necessary to visit all vertices. In existing literature of the KEP, the cardinality constraint for cycles is usually considered to be small (to the best of our knowledge, no more than six). In a CCCCP, each vertex on the directed graph can be included in at most one cycle or chain, but not both. The CCMcP and the CCCCP are interesting and challenging combinatorial optimization problems in their own rights, particularly due to their similarities to some travelling salesman- and vehicle routing-family of problems. In this paper, our main focus is to review the existing mathematical programming models and solution methods in the literature, analyse the performance of these models, and identify future research directions. Further, we propose a polynomial-sized and an exponential-sized mixed-integer linear programming model, discuss a number of stronger constraints for cardinality-infeasible-cycle elimination for the latter, and present some preliminary numerical results.     

Generating a smallest binary tree by proper selection of the longest edges to bisect in a unit simplex refinement

In several areas like global optimization using branch-and-bound methods for mixture design, the unit n-simplex is refined by longest edge bisection (LEB). This process provides a binary search tree. For \(n>2\), simplices appearing during the refinement process can have more than one longest edge (LE). The size of the resulting binary tree depends on the specific sequence of bisected longest edges. The questions are how to calculate the size of one of the smallest binary trees generated by LEB and how to find the corresponding sequence of LEs to bisect, which can be represented by a set of LE indices. Algorithms answering these questions are presented here. We focus on sets of LE indices that are repeated at a level of the binary tree. A set of LEs was presented in Aparicio et al. (Informatica 26(1):17–32, 2015), for \(n=3\). An additional question is whether this set is the best one under the so-called \(m_k\)-valid condition.