A dimensionality reduction method of continuous dependent variables based supervised Laplacian eigenmaps

Dimensionality reduction is one of the important preprocessing steps in high-dimensional data analysis. In this paper we propose a supervised manifold learning method, it makes use of the information of continuous dependent variables to distinguish intrinsic neighbourhood and extrinsic neighbourhood of data samples, and construct two graphs according to these two kinds of neighbourhoods. Following the idea of Laplacian eigenmaps, we reveal that on the low-dimensional manifold the neighbourhood structure can be preserved or even improved. Our approach has two important characteristics: (i) it uses dependent variables to find an informative low-dimensional projection which is robust to noisy independent variables and (ii) the objective function simultaneously enlarges the distance between dissimilar samples and pushes similar samples close to each other according to the graph constructed with the help of continuous dependent variables. Our experiments demonstrate that the effectiveness of our method is over their traditional rivals.     

Community-based arts research for people with learning disabilities: challenging misconceptions about learning disabilities

This article presents some of the community-based artwork of a group of men with learning disabilities, who aimed to challenge some of the misconceptions associated with learning disabilities. People with learning disabilities regularly face many forms of direct and indirect stigma. The consequences of such negative perceptions may affect individuals’ social relationships and ensure that barriers are strengthened which prevent their full inclusion. The men in this project used a series of visual and creative methods to challenge some of these misconceptions by telling stories through art, demonstrating skill through photography, using poetry to talk about sexual identity and improvising drama and filmmaking to challenge stigma, and through sculpture expressed their voices. Thus, by doing so, they were able to challenge some of the stigma associated with learning disabilities, indicating that community-based arts research is a valuable way in which to promote the voices of people with learning disabilities.     

Everything for the Children: Orphans Growing Up in Informal Adoptive Families in China

Most orphaned children in China are cared for by their extended families or become state wards under the guardianship of child welfare institutions. Some exceptions are children who are found and cared for by families in the community, without a formalized adoption or foster relationship. In some locations, institutions now accept guardianship for these children and support the informal adoptive family to continue to care for them. This article examines the outcomes for these children as they became young adults by comparing these 12 children raised within the system as they approach or have approached young adulthood (now aged 16–40 years-old). Some of the participants were either informally adopted or lived in institutional care. The results of this study found that the family environment was more conducive to the young people’s wellbeing as they approached or entered adulthood. The participants raised in informal care appeared to be treated similar to the biological children in these families. When the institution formalized the state guardianship responsibility, it also meant the families had state resources for support to protect the children’s rights to economic security, education, health care, and social participation. This practice by the institution supported the addition of informal adoption, as one step closer to permanency than foster care. Future implications include considering this option to help promote the family system assisting these children, families, and the state.     

The need for knowledge modification in technology change: a framework to consider changes in domain complexity,knowledge and productivity

This paper researches productivity in relation to domain complexity and the present knowledge capacity in an organisational context. The study is based on five very different case studies. Three studies are conducted in Denmark, Germany, Mexico and China and are related to knowledge transfer in the relocation of manufacturing facilities. Two studies investigate operation and automation of oil and gas production in the North Sea. The case study method involves semi-structured interviews, surveys, an analysis of historical production data and observations. Based on the findings from the field studies, the paper develops a conceptual framework that management can use for discussions of productivity, development of knowledge and design of learning programmes when considering changes in the complexity of a domain or a change in knowledge.     

The Indirect Effect of Child Maltreatment Severity on Adult PTSD Symptoms through Anxiety Sensitivity

Although the rate of posttraumatic stress disorder (PTSD) among survivors of child maltreatment is high, individuals differ in symptom severity and many do not experience clinically significant levels of psychopathology. The present study tested the indirect effects of child maltreatment severity on adult PTSD, suicidal ideations, and alcohol dependence via anxiety sensitivity. A sample of 336 participants (mean age of 22.81 years, SD = 8.93; 70.2% female) completed an online survey of child abuse and neglect, anxiety sensitivity, PTSD symptom severity, suicidal ideation severity, and alcohol dependence severity. The results revealed significant indirect effects of child maltreatment on PTSD symptom severity through cognitive and social concerns, but not physical concerns. No direct or indirect effects were demonstrated for suicidal ideations or alcohol dependence severity. These findings elucidate mechanisms in the robust relationship between child maltreatment and adult PTSD symptoms and can potentially inform future research on mechanisms of change in psychotherapy.     

Possibilities towards a socially just pedagogy: New tasks and challenges

This paper contributes to an emerging debate on what it means to transform teaching and learning in higher education and to renew the social justice mission of universities. By focusing on the teaching and learning environment, we set the stage for the special issue, exploring the idea of socially just pedagogy, where it comes from and what it means in the present day. The social justice-pedagogy nexus as taken up in this paper aims at using pedagogy as a change process to transform higher education. We offer new considerations arguing that to adopt socially just pedagogies it is important that teachers consider the personal dimensions of pedagogy, the politics of difference, and the relationship between pedagogy and agency. In doing this, the chance that universities remain places of possibility, rather than turning into divisive spaces, becomes more plausible.     

When difference creates dissonance: understanding the ‘engine’ of intercultural learning in study abroad

Why do some study abroad students improve their intercultural skills, while others revert to less sophisticated ways of making sense of cultural difference? Both intercultural competence theory and transformative learning theory attempt to explain why student intercultural learning occurs, but they only provide partial answers. Building on our previous study assessing intercultural competence in a 2015 field school in India, this article applies the concept of cognitive dissonance to explain the process behind intercultural learning. In the context of study abroad, students experience cognitive dissonance when they encounter cultural differences or similarities that confound previously held expectations about culture. Adapting Maertz, Hassan, and Magnusson’s cognitive dissonance resolution framework, we employ qualitative analysis of students’ written reflections to show how the resolution of cognitive dissonance could act as the ‘engine’ of intercultural learning.     

Machine Learning for Drug Overdose Surveillance

ABSTRACT

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan (Herlands, McFowland, Wilson, & Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) enables early detection of emerging patterns in spatio-temporal data, accounting for both the complex, correlated nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and multiple time steps. We apply this approach to 17 years of county-aggregated data for monthly opioid overdose deaths in the New York City metropolitan area, showing clear advantages in the utility of discovered patterns as compared to typical anomaly detection approaches. To detect and characterize emerging overdose patterns that differentially affect a subpopulation of the data, including geographic, demographic, and behavioral patterns (e.g., which combinations of drugs are involved), we apply the Multidimensional Tensor Scan (Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) to 8 years of case-level overdose data from Allegheny County, Pennsylvania. We discover previously unidentified overdose patterns which reveal unusual demographic clusters, show impacts of drug legislation, and demonstrate potential for early detection and targeted intervention. These approaches to early detection of overdose patterns can inform prevention and response efforts, as well as understanding the effects of policy changes.     

When children’s testimonies are used as evidence: how children’s accounts may impact child custodial decisions

Abstract

In child custody cases, children oftentimes provide allegations of experienced trauma against one of their parents. Such allegations can happen before any investigative interviews (e.g., by the police or child protective services) have taken place. A central theme here concerns how to appraise such allegations and make certain that children’s accounts are taken seriously. In the current special issue, the focus is on new work on the functioning of children’s memory and its relation to trauma or work on children’s suggestibility and memory when they are traumatized. Specifically, key experts in the field of children’s memory provided contributions on: (1) the impact of interviewer support and rapport building on children’s testimonies, (2) the role of parental alienation in children’s testimonial accuracy, and (3) different types of false memories in children’s memory reports.     

Psychometric properties of the “parent-child relationship inventory” (PCRI) in a portuguese forensic sample

In Portugal, there is a gap regarding psychological tests validated for forensic contexts, particularly those related to child custody issues. The Parent–Child Relationship Inventory (PCRI) is one of the most used instruments in child custody contexts. This study aimed to analyze the psychometric properties of PCRI in a Portuguese forensic sample. PCRI factorial structure and psychometric properties were analyzed in a sample of 144 parents involved in child custody assessments. The questionnaire showed good internal consistency, except for the parental support, autonomy, and role orientation scales. It also showed good discriminant capacity. The confirmatory factor analysis did not replicate the 7-factor model proposed by Gerard. The results were discussed based on the use of PCRI in the context of child custody assessment.