Student portfolios as windows into intercultural knowledge and knowing

This research paper deals with intercultural knowledge and knowing as displayed in higher education student portfolios. The portfolios were written by student pairs taking a global education course at Centria University of Applied Sciences, Finland, during seven academic years. Conceptual metaphor theory and metaphor analysis were utilised to explore intercultural knowledge and knowing in the portfolio texts. The study is one of the few metaphor analyses conducted in the context of intercultural/global education. For the analysis, we selected a sample of student portfolios that represented both degree-taking students and exchange students. In this study, interculturality was defined as interaction of people representing various cultural backgrounds, world-views and identities. The research questions were the following: What conceptual metaphors and metonymies do the students utilise when writing about culture and interculturality? What main conceptions of culture and interculturality do the metaphors and metonymies reflect? In the result section of this paper, we provide citations of portfolio text to discuss the four most frequently occurring metaphors and metonymies. We also discuss our interpretations about the underlying conceptions of culture and their significance for the practice of intercultural education.     

Does Size Matter? A Study of Risk Perceptions of Global Population Growth

The global human population now exceeds 7 billion and is projected to reach 10 billion around 2060. While population growth has been associated with certain benefits (e.g., economies of scale, technological advancements), theoretical models, probabilistic projections, and empirical evidence also indicate that this growth could increase the likelihood of many adverse events (e.g., climate change, resource shortages) and the impact of these events, as more people are exposed to the outcomes. While concerns about these issues are well‐documented in the academic literature, there is little evidence concerning the public's perceptions of the risks associated with global population growth (GPG) and how these perceptions are likely to influence related decisions. To address these issues, we conducted a U.K.‐based study that examined respondents’ risk perceptions of GPG, their willingness to embrace mitigation/precautionary behaviors, and reasons for variations in these two factors. We found that GPG is perceived as a moderate‐to‐high risk, with concerns about the increased likelihood of resource shortages, ecological damage, and violent conflict being foremost. Respondents believed that the worst effects of GPG would arrive around 2050 and would be experienced by the world's poorest people. Respondents who perceived greater levels of risk from GPG were generally those who indicated a greater willingness to embrace mitigation behaviors (e.g., reduce resource consumption) and preventative actions (e.g., support political action to limit growth). We discuss how our findings might be utilized to better manage the potential challenges associated with GPG and we suggest several directions for further research.     

Psychological Well-Being and Adolescents’ Internet Addiction: A School-Based Cross-Sectional Study in Hong Kong

This study examines the correlations of adolescents’ self-esteem, loneliness and depression with their internet use behaviors with a sample of 665 adolescents from seven secondary schools in Hong Kong. The results suggest that frequent online gaming is more strongly correlated to internet addiction and such correlation is higher than other predictors of internet addiction in online behaviors including social interactions or viewing of pornographic materials. Male adolescents tend to spend more time on online gaming than female counterparts. In terms of the effect of internet addiction on adolescents’ psychological well-being, self-esteem is negatively correlated with internet addiction, whereas depression and loneliness are positively correlated with internet addiction. Comparatively, depression had stronger correlation with internet addiction than loneliness or self-esteem. A standardized definition and assessment tool for identifying internet addiction appears to be an unmet need. Findings from this study provide insights for social workers and teachers on designing preventive programs for adolescents susceptible to internet addiction, as well as emotional disturbance arising from internet addiction.     

Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease

In this paper, the goal of identifying disease subgroups based on differences in observed symptom profile is considered. Commonly referred to as phenotype identification, solutions to this task often involve the application of unsupervised clustering techniques. In this paper, we investigate the application of a Dirichlet process mixture model for this task. This model is defined by the placement of the Dirichlet process on the unknown components of a mixture model, allowing for the expression of uncertainty about the partitioning of observed data into homogeneous subgroups. To exemplify this approach, an application to phenotype identification in Parkinson's disease is considered, with symptom profiles collected using the Unified Parkinson's Disease Rating Scale.     

What Happens on Islands,doesn’t Stay on Islands: Patterns of Synchronicity in Mosquito Nuisance and Host-Seeking Activity between a Mangrove Island and Adjacent Coastal Development

Urban Ecosystems - Coastal development is expanding globally in response to mass human migration, yet urban planning guidelines often overlook the problems that human encroachment on or near...     

Using Attachment to Better Understand the Therapy Alliance: The Attachment Based Alliance Questionnaire

Questionnaires on the therapeutic alliance are available, but most show inflated scores, limited variability, and few significant findings on the bonds domain. Results of a study of 251 clinical couples, on the development of an Attachment Based Alliance Questionnaire (ABAQ), are presented. Factor analysis (EFA and CFA), show that a one‐factor or two‐factor structure fit the data, with more support for a one‐factor model. Both models map closely with attachment constructs. Results also show that the ABAQ is predictive of changes couples make early in therapy and demonstrated adequate reliability and validity. The ABAQ provides a tool for clinicians as they learn how to attune to relationships in couple therapy and is helpful to researchers in understanding the alliance.     

Implementation of the Family Violence Option 20 Years Later: A Review of State Welfare Rules for Domestic Violence Survivors

The Family Violence Option (FVO) was included in the 1996 welfare reform legislation to ensure that domestic violence survivors are not subject to unfair penalties resulting from compliance with the new requirements. This study presents a comprehensive review of the states’ different approaches to address domestic violence. Our findings identified variation in implementation and practice, from the decision to adopt the FVO to the process of granting waivers. Although not contradictory to the federal legislation, the variation is indicative of the limited research on best practices and lack of national discussions on how state FVO processes relate to one another.     

The Role of Parenting and Family Factors in the Developmental Catch-Up for Children Adopted Internationally

Internationally adopted children are at greater risk for cognitive difficulties. While age at adoption is an established significant predictor of cognitive outcomes, considerable variation persists. The present study focused on whether parenting and family factors explain additional variance in cognitive and linguistic catch-up in this group of children. In total, 46 children were examined at two time points, approximately 12 months apart. Cognitive and linguistic abilities were measured at both time points, with parenting and family factors examined at follow-up, using hierarchical linear regression. Age at adoption and baseline cognitive abilities were the best predictors of cognitive and linguistic catch-up; parenting and family factors generally did not account for a significant increase in explained variance.