How Can Drama Therapy Support the Military Spouse During A Deployment Cycle: A Literature Review

Between September 11th 2001 and 2013, over 2.5 million individuals in the American military have embarked on deployments to combat zones, with a recorded 55 percent of the active service members leaving behind significant others for anywhere between 4 to 24 months at a time (Kees, Nerenberg, Bachrach, & Sommer, 2015). There is very little empirical research focusing on the effect deployment has on spouses; but research thus far demonstrates that deployment has a significant impact on the mental health of spouses (Werner-Wilson et al., 2011). Studies in this review highlight general needs and the specific strains of depression, anxiety and isolation that often occurs for military spouses during deployment (Mansfield et al., 2010; Verdeli, Baily, Vousoura, & Belser, 2011). Relevant drama therapy publications are reviewed on group work with depression, anxiety and isolation resulting in positive “changes in mood and relationships” in older people with dementia, to include an observed increased willingness to interact and an overall brightening (Jennings, 2018, p. 224). This literature review investigates possibilities for using drama therapy to support spouses within the American military community during deployments, and points to future recommendations and research

One-Dimensional Turbulence Modeling of Soot Formation and Transport in Non-Premixed Turbulent Flames

Soot modeling in turbulent flames involves tightly coupled problems of combustion chemistry, particle transport, compressible fluid dynamics, and turbulence behavior in addition to soot chemistry and transport. Significant uncertainties accompany soot modeling and transport in such systems, hindering progress toward accurate combustion models and predictive simulation tools. The one-dimensional turbulence (ODT) model, using a stochastic approach to turbulence modeling, captures the full range of length and time scales in a simulation and provides detailed statistical data of the flow con-figuration, chemistry, and particle transport. Previously, ODT has demonstrated accuracy and computational efficiency compared to direct numerical simulation (DNS) of turbulent, non-premixed flames. We present ODT simulations of soot behavior and transport in non-premixed ethylene jet flames, representing late-flame regions and parameter spaces typically inaccessible to DNS. The simulation configurations are based on experimental cases presented by the International Sooting Flame (ISF) Work-shop, readily accessible online. We focus on soot chemistry and particle transport by implementing advanced soot models and quantifying gas temperature and soot volume fraction in order to evaluate the models used and gain insight into the nature of soot-flame interactions. Our simulations stimulate progress toward parametric studies of soot behavior and more comprehensive modeling

Elementary Educators\u27 Perceptions of Online Educational Resources in a Personalized Learning Classroom: A Phenomenological Study

The purpose of this transcendental phenomenological study was to understand the perceptions of elementary educators who had developed a personalized learning classroom through the use of virtual learning environments (VLE), an open educational resource (OER), as an instructional academic support for students. Guiding this study was Siemens’ 2005 connectivism learning theory, as it explains how students in the current era, the Knowledge Age, acquire knowledge and deepen understandings through digital learning. The central research question used to drive the study was: How do elementary educators explain their perceptions of the use of OER and VLE in personalized instruction for students? The data collection methods used in this study consisted of in-depth semi-structured interviews, observations, and document analysis of primary sources classified as instructional documents. The data analysis for this study included a conceptual framework used for coding, open coding, memoing, and final coding with winnowing. The data collected revealed that elementary educators perceived VLE as a supplemental support to their direct teaching and tutoring tool for digital learners in personalized learning classrooms. Educators felt that VLE was not able to meet the academic needs of students as a direct instruction tool. Findings revealed that educators perceived VLE to be inadequate and not appropriate when used with the special needs population of digital learning students

Problematising the concept of 'sustainability' in the supply chain through systematic literature review

The authors contend that there are two broad 'senses' in which 'sustainability' is currently understood in supply chain research and practice – responsibility (in terms of environmental and social practices) and continuity (in the face of twenty-first century uncertainty and disruption). Systematic review is used to illustrate the predominance of the responsibility 'sense' of sustainability in academic literature labelled 'sustainable supply chain.' The authors propose that parallel research into strategies for supply chain continuity (e.g. agility and resilience) be brought within the fold of the 'sustainable supply chain' research label for the sake of clarity of the 'sustainability' concept and the development of a truly sustainable supply chain, because a responsible supply chain might not necessarily be a resilient supply chain in the twenty-first century global environment

Effects on Depressive Symptoms of a Web-Based Cognitive Bias Modification-Interpretation (CBM-I) Program for Emotion Recognition: A Randomised Controlled Trial

Depression is a global problem, causing disability and economic burden. Many people currently do not obtain treatment. Development of more accessible, cost-effective treatments is essential. An identified mechanism by which depression treatments work is through modifying underlying negative cognitive biases, which mediate changes in mood. A specific negative information-processing bias in depression is a tendency to interpret ambiguous facial expressions as sad rather than happy. The emotion recognition task is a treatment paradigm developed as a cognitive bias modification intervention to target this emotion recognition bias. Previous studies showed promising signs that this novel intervention could modify biases in people with low mood outside of laboratory conditions and potential to increase positive affect within laboratory conditions. The current study built on these developments, aiming to investigate, using a randomised controlled trial with follow-up at 2 and 6 weeks, whether a web-based version of the emotion recognition task could reduce depressive symptoms in addition to modifying emotion recognition biases. An analogue sample of 124 participants with low mood was recruited. Evidence was found that the intervention modified participants’ biases, compared to the control group but there was no evidence of improvement in mood. Study limitations included a high rate of attrition and non-adherence to the intervention. Future recommendations include modifying the intervention to increase acceptability, investigating generalizability of increased positive bias to different stimuli, and identifying consistent reductions in symptoms of depression before examining its efficacy with a clinical population