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Modifications of physical and electrical properties of the vertical double‐diffused metal oxide semiconductor (VDMOS) transistor are observed on using the device under some conditions of “functional” stress. This paper presents the characterization and the 2D simulation for the pre‐ and post‐stressed device, to point out the degraded parameters due to the functional stress, and to analyze their effects on the degradation of the VDMOS static and dynamic characteristics.

Research into the interpretability and explainability of data analytics and artificial intelligence (AI) systems is on the rise. However, most recent studies either solely promote the benefits of explainability or criticize it due to its counterproductive effects. This study addresses this polarized space and aims to identify opposing effects of the explainability of AI and the tensions between them and propose how to manage this tension to optimize AI system performance and trustworthiness.

The author systematically reviews the literature and synthesizes it using a contingency theory lens to develop a framework for managing the opposing effects of AI explainability.

The author finds five opposing effects of explainability: comprehensibility, conduct, confidentiality, completeness and confidence in AI (5Cs). The author also proposes six perspectives on managing the tensions between the 5Cs: pragmatism in explanation, contextualization of the explanation, cohabitation of human agency and AI agency, metrics and standardization, regulatory and ethical principles, and other emerging solutions (i.e. AI enveloping, blockchain and AI fuzzy systems).

As in other systematic literature review studies, the results are limited by the content of the selected papers.

The findings show how AI owners and developers can manage tensions between profitability, prediction accuracy and system performance via visibility, accountability and maintaining the “social goodness” of AI. The results guide practitioners in developing metrics and standards for AI explainability, with the context of AI operation as the focus.

This study addresses polarized beliefs amongst scholars and practitioners about the benefits of AI explainability versus its counterproductive effects. It poses that there is no single best way to maximize AI explainability. Instead, the co-existence of enabling and constraining effects must be managed.

The purpose of this paper is to examine how a transnational immigrant youth’s engagement on social media supported her identity formation and allowed space to advance more just framing of Islam across school and online communities.

This qualitative study draws on data collected across two years, including interviews, classroom observations and social media posts. Using digital religion and counterstorying as a constructive theoretical frame, the authors asked: What was the role of social media in supporting a transnational immigrant youth’s critical media literacy practices within and beyond school. How, if at all, did these practices shift over time?

Findings highlight how I. Mohamud used social media in support of her identity development as a female, Muslim youth in a political climate antithetical to such liberation and how through an online community she engaged in counter stories to negative framing of Islam.

Our collaborative writing answers Lam and Warriner’s (2012) call for research exploring how individuals from migrant backgrounds interact with “diverse media representations and mobilize different interpretive frames for understanding societal events and personal experiences” (p. 207). Moreover, this study further answers El-Haj and Bonet (2012) call for research investigating “ways that youth inhabit particular identities in specific contexts and interactions and across time” (p. 41).

This paper aims to identify key factors for a contextualised Systemic Risk Governance (SRG) framework and subsequently explore how systemic risks can be managed and how local institutional mechanisms can be tweaked to deal with the complex Indonesian risk landscape.

Using a case study from Palu triple-disasters in Central Sulawesi, Indonesia, the authors demonstrate how inland earthquakes in 2018 created cascading secondary hazards, namely tsunamis, liquefactions and landslides, caused unprecedented disasters for the communities and the nation. A qualitative analysis was conducted using the data collected through a long-term observation since 2002.

The authors argue that Indonesia has yet to incorporate an SRG approach in its responses to the Palu triple-disasters. Political will is required to adopt more appropriate risk governance modes that promote the systemic risk paradigm. Change needs to occur incrementally through hybrid governance arrangements ranging from formal/informal methods to self- and horizontal and vertical modes of governance deemed more realistic and feasible. The authors recommend that this be done by focusing on productive transition and local transformation.

There is growing awareness and recognition of the importance of systemic and cascading risks in disaster risk studies. However, there are still gaps between research, policy and practice. The current progress of disaster risk governance is not sufficient to achieve the Sendai Framework for Disaster Risk Reduction (2015–2030) unless there is an effective governing system in place at the local level that allow actors and institutions to simultaneously manage the interplays of multi-hazards, multi-temporal, multi-dimensions of vulnerabilities and residual risks. This paper contributes to these knowledge gaps.

The purpose of this paper is to apply a negative gate bias stress in order to study instabilities of threshold voltage in N‐channel power vertical double‐diffused metal‐oxide‐semiconductor field effect transistor (VDMOSFET). Variations in gate oxide trapped charge and interface trap densities are also calculated.

A threshold voltage shift is detected; the oxide and interface trap densities were evaluated based on a direct measurement of the gate to source capacitance and conductance.

Results presented show that the threshold voltage is decreasing with stress time, the capacitance and conductance curves are altered by applied stress, also the oxide traps and the interface traps densities are increasing with stress time.

The positive bias stress seems to be more destructive in the case of the studied devices.

Improving the nutritious quality of diets for individuals and populations is a central goal of many public health advocates and intergovernmental organizations. Yet the outcome of healthy eating has been shown to systematically vary across individual-level socioeconomic lines, and across countries in different locations of the food system. We therefore assess variation in the association between eating nutritionally dense fresh fruits and vegetables and both self-rated health (SRH) and body mass index (BMI) across individual income and country locations in the food system.

We use nationally representative survey data from 31 countries drawn from the International Social Survey Programme’s 2011 Health module. We estimate the effect of the frequency of eating fresh fruits and vegetables using random-intercept, random-coefficient multilevel mixed-effects regression models.

We confirm that eating nutritionally dense fresh fruits and vegetables frequently associates with more positive health outcomes. However, this general conclusion masks substantial individual- and country-level heterogeneity. For both SRH and BMI, the largest beneficial associations are concentrated among the most affluent individuals in the most affluent countries. Moving away from either reduces the positive association of healthy eating.

Our results provide an important wrinkle for policies aimed at changing the nutritional quality of diets. Adjustments to diets without taking into account fundamental causes of socioeconomic status will likely be met with attenuated results.

We compare two important health outcomes across a wide variety of types of countries. We demonstrate that our main conclusions are only detectable when employing a flexible multilevel methodological design.

Using the data from a unique sample of Mexican-American adults from the U.S.-Mexico border area, this chapter offers explanations for Mexican-American obesity, with the special focus on immigrant generation status, income, and gender. On a theoretical plane, this study attempts to apply the nutrition transition theory to the study of immigrant assimilation in a regional context. Considered are the most important structural dimensions of immigrant assimilation – country of birth (the United States vs. Mexico) and age of arrival. Of the two aforementioned factors, age of arrival is found to be a stronger predictor of obesity that country of birth. As Mexican-American immigrants’ length of residence increases, so does their Body Mass Index (BMI) that reflects the adoption of less diverse diet and sedentary lifestyles. Through the use of multilevel hierarchical modeling, I also found sizeable variation in obesity by income, gender, and family history of obesity. The analyses suggest that the interventions aimed at reducing overweight and obesity among Mexican-Americans in the U.S.-Mexico border region should be better targeted by focusing on women and low-income households.

In this chapter, we draw on health lifestyle, human capital, and health commodity theories to examine the effects of educational attainment on a wide range of individual dietary behaviors and dietary lifestyles.

Using data from the 2005-2006 iteration of the National Health and Nutrition Examination Survey (n = 2,135), we employ negative binomial regression and binary logistic regression to model three dietary lifestyle indices and thirteen healthy dietary behaviors.

We find that having a college degree or higher is associated with seven of the thirteen healthy dietary behaviors, including greater attention to nutrition information (general nutrition, serving size, calories, and total fat) and consumption of vegetables, protein, and dairy products. For the most part, education is unrelated to the inspection of cholesterol and sodium information and consumption of fruits/grains/sweets, and daily caloric intake. We observe that having a college degree is associated with healthier dietary lifestyles, the contemporaneous practice of multiple healthy dietary behaviors (label checking and eating behaviors). Remarkably, household income and the poverty-to-income ratio are unrelated to dietary lifestyles and have virtually no impact on the magnitude of the association between education and dietary lifestyles.

Our findings are consistent with predictions derived from health lifestyle and human capital theories. We find no support for health commodity theory, the idea that people who are advantaged in terms of education live healthier lifestyles because they tend to have the financial resources to purchase the elements of a healthy lifestyle.

Social scientists often speculate that both acculturation and socioeconomic status are factors that may explain differences in the body weight between Mexican Americans and whites and between Mexican Americans and Mexican immigrants, yet prior research has not explicitly theorized and tested the pathways that lead both of these upstream factors to contribute to ethnic/nativity disparities in weight. We make this contribution to the literature by developing a conceptual model drawing from Glass and McAtee’s (2006) risk regulation framework. We test this model by analyzing data from the 1999–2012 National Health and Nutrition Examination Survey (NHANES). Our conceptual model treats acculturation and socioeconomic status as risk regulators, or social factors that place individuals in positions where they are at risk for health risk behaviors that negatively influence health outcomes. We specifically argue that acculturation and low socioeconomic status contribute to less healthy diets, lower physical activity, and chronic stress, which then increases the risk of weight gain. We further contend that pathways from ethnicity/nativity and through acculturation and socioeconomic status likely explain disparities in weight gain between Mexican Americans and whites and between Mexican immigrants and whites. Study results largely support our conceptual model and have implications for thinking about solutions for reducing ethnic/nativity disparities in weight.

The purpose of this paper is to examine the influence of one personal variable (locus of control) and two relationship variables (leader-member exchange and co-worker cooperation) on perceptions of organizational politics in Lebanese small and medium-sized enterprises (SMEs).

Survey data was collected from 300 Lebanese employees from different SMEs located between Tripoli and Beirut.

Results of regression analysis indicated that all the three variables were significant predictors of perceptions of politics, and that perceptions of politics affected employee outcomes. More specifically, higher levels of politics are associated with higher turnover intention and lower job satisfaction.

Results of this study raise several implications for companies and employers. Perceptions of politics were found to have a negative impact on employee attitudinal and behavioral outcomes. Therefore, employers must examine the factors that affect employee perceptions of politics in the workplace. Since leader-member exchange and co-worker cooperation were found to predict politics, management's efforts should focalize on improving the relationships between employees and their supervisor as well as their relationships with each other. Management should develop strategies to create an atmosphere of cooperation and support in the organization.

There is paucity of studies on organizational politics in Arabic cultures. This study extends the organizational politics literature by investigating antecedents and outcomes of politics in Lebanon, a country that differs in its culture from US and European contexts.