Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

Adverse outcome pathway Bayesian networks (AOPBNs) are a promising avenue for developing predictive toxicology and risk assessment tools based on adverse outcome pathways (AOPs). Here, we describe a process for developing AOPBNs. AOPBNs use causal networks and Bayesian statistics to integrate evidence across key events. In this article, we use our AOPBN to predict the occurrence of steatosis under different chemical exposures. Since it is an expert-driven model, we use external data (i.e., data not used for modeling) from the literature to validate predictions of the AOPBN model. The AOPBN accurately predicts steatosis for the chemicals from our external data. In addition, we demonstrate how end users can utilize the model to simulate the confidence (based on posterior probability) associated with predicting steatosis. We demonstrate how the network topology impacts predictions across the AOPBN, and how the AOPBN helps us identify the most informative key events that should be monitored for predicting steatosis. We close with a discussion of how the model can be used to predict potential effects of mixtures and how to model susceptible populations (e.g., where a mutation or stressor may change the conditional probability tables in the AOPBN). Using this approach for developing expert AOPBNs will facilitate the prediction of chemical toxicity, facilitate the identification of assay batteries, and greatly improve chemical hazard screening strategies.     

Barriers to Economic Security: Disability,Employment, and Asset Disparities in Canada

Although ample research shows that people with disabilities face significant labor market barriers, questions remain about whether and how disadvantages in employment and earnings contribute to economic insecurity. We use 1999 to 2012 Canadian Survey of Financial Security data to study disparities in nonhousing assets, which include household savings, stocks, and pensions, across households with and without disabilities. We find that households where the respondent or their spouse reported a disability held 25 percent less in nonhousing assets after accounting for key employment, education, and demographic factors. Demonstrating the more complicated relationship between disability, employment, and assets, these direct effects were further strengthened by disability's indirect effects on assets through its relationship with employment income.     

Opportunity Theory and Agricultural Crime Victimization*

Abstract A growing body of research lends support to opportunity theory and its variants, but has yet to focus systematically on a number of specific offenses and contexts. Typically, the more crimes and contexts to which a theory applies, the broader its scope and range, respectively, and thus generalizability. In this paper, we focus on agricultural crime victimization— including theft of farm equipment, crops, livestock, and chemicals—an offense that opportunity theory appears well‐situated to explain. Specifically, we examine whether key dimensions of the theory are empirically associated with the likelihood of victimization and also examine factors associated with farmers' use of guardianship measures. In contrast to much previous research, we combine multiple individual‐level measures of these dimensions. We conclude that the theory partially accounts for variation in agricultural crime victimization, depending on the type of crime, and that greater work is needed investigating how key dimensions of opportunity theory should be conceptualized and operationalized in rural contexts. The study's implications for theory and practice are discussed.     

Variation in Cancer Risk Estimates for Exposure to Powerline Frequency Electromagnetic Fields: A Meta-Analysis Comparing EMF Measurement Methods

We used meta-analysis to synthesize the findings from eleven case-control studies on cancer risks in humans exposed to 50-60 Hertz powerline electromagnetic fields (EMFs). Pooled estimates of risk are derived for different EMF measurement methods and types of cancer. EMF measurement methods are classified as: wiring configuration codes, distance to power distribution equipment, spot measurements of magnetic fields, and calculated indices based on distance to power distribution equipment and historic load data. Pooled odds ratios depicting the risk of cancer by each measurement type are presented for all cancers combined, leukemia for all age groups and childhood leukemia. The wire code measurement technique was associated with a significantly increased risk for all three cancer types, while spot measures consistently showed non-significant odds ratios. Distance measures and the calculated indices produced risk estimates which were significant only for leukemia.     

Gender inequality in childhood: Toward a life course perspective

Gender inequality does not begin with adulthood, yet scholarship has dealt most appreciably with indicators summarizing patterns for adults. Life course differences need to be recognized and incorporated into the study of gender inequality. I propose various societal practices (such as female infanticide, harsher punishment, social ceremonies, and inclusion) and beliefs (such as son preference, affection, and evaluation) as cross-cultural indicators of gender inequality in childhood. The analysis of preindustrial societies in the Standard Cross-Cultural Sample (Murdock and White, 1969) finds that childhood gender inequality is related to hunger, warfare, patrilocality, and the economic contribution and control of women. Childhood gender inequality shares some similarities with adulthood gender inequality but differs in theoretically relevant ways; for example, familial explanations, which are often relegated to secondary status in gender inequality theory, are high-lighted. The implications of focusing on childhood and the life course for gender inequality theory are discussed. Much of her recent work is on gender inequalities in the labor force, including labor force participation, occupational segregation, and affirmative action     

Team leadership

Despite the ubiquity of leadership influences on organizational team performance and the large literatures on leadership and team/group dynamics, we know surprisingly little about how leaders create and handle effective teams. In this article, we focus on leader–team dynamics through the lens of “functional leadership.” This approach essentially asserts that the leader's main job is to do, or get done, whatever functions are not being handled adequately in terms of group needs. We explicate this functional leadership approach in terms of 4 superordinate and 13 subordinate leadership dimensions and relate these to team effectiveness and a range of team processes. We also develop a number of guiding propositions. A key point in considering such relationships is the reciprocal influence, whereby both leadership and team processes influence each other.     

Democracy as a transitional compass: women’s participation in South Africa and Kerala,India

ABSTRACT

In this article I explore the attempts by the states in South Africa and Kerala to create spaces for public participation by specifically focusing on women’s involvement in local spaces. Democracy is a crucial part of any emancipatory future that seeks to challenge and overcome inequality. I show that both states have ‘invited’ participation by women in various ways, but that the transformative potential of this participation is limited by national political economy, bureaucratization, and the lack of political will. In South Africa, the invited spaces eventually transformed into avenues for delivery and in response the women in this study shifted to inventing ways to engage in development in their personal lives. By using a double comparison – South Africa over time and South Africa compared to India – I argue that transformative politics requires a combination of invented and invited spaces.