373 research outputs found

    Recovery from Substance Abuse: The Role of Unsupportive Social Interactions

    Get PDF
    ABSTRACTRECOVERY FROM SUBSTANCE ABUSE: THE ROLE OF UNSUPPORTIVE SOCIAL INTERATIONSBy Michelle M. Schmitt, M.A., M.S. A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University.Virginia Commonwealth University, 2003Major Director: Kathleen M. Ingram, Ph.D., Assistant Professor, Department of Psychology It has been estimated that over 20 million individuals struggle with substance abuse and/or dependence each year. Theories of addiction and recovery have long incorporated the notion of social support and helping relationships to facilitate adjustment. However, the literature investigating the role of social support is fraught with contradictions. In addition, in substance abusing populations, researchers have just begun to investigate social support as having negative, as well as positive implications. Historically with these populations, interpersonal conflict and loss of relationships were investigated as negative life events, rather than types of unsupportive social interactions. This study was designed to explore how positive and negative social relationships are associated with adjustment among individuals struggling with addiction. Ninety-seven individuals, who were currently participants in two Drug Court programs, completed measures of global positive social support (the 6-item Social Support Questionnaire), recovery-specific positive social support (Important People & Activities Instrument, brief version), recovery-specific unsupportive social interactions (Unsupportive Social Interactions Inventory), recovery-specific cognitive threat appraisals, and well-being (Situational Confidence Questionnaire and Center for Epidemiologic Studies Depression Scale). Information regarding treatment attendance and positive urine toxicology reports was gleaned from treatment records. Results suggested that global positive social support accounted for the greatest proportion of variance in the well-being outcomes of self-efficacy for recovery and depression. Global positive social support eclipsed the role of recovery-specific unsupportive social interactions in relation to well-being. However, recovery-specific unsupportive social interactions were found pertinent to this population. None of the survey variables were significantly related to treatment attendance, and only self-efficacy for recovery was related to continued drug use (urine toxicology screenings). Implications for future research and interventions to enhance the well-being of individuals in recovery are discussed

    Investigating German Higher Education Institutions\u27 Transfer Activities: New Measurements Based on Web Mining

    Get PDF
    In recent years, higher education institutions (HEI) have expanded their involvement in diverse transfer activities (TA), extending beyond traditional teaching and research roles. These TA are often heterogeneous and informal, which makes measuring their full scope and effects challenging. In this article, we propose a new and straightforward to implement approach for mastering this task. In a first step, we theoretically derive three different dimensions of transfer, namely the transfer of knowledge, technology and personnel. For each of these categories, we develop an artificial intelligence (AI) optimized keyword list. Finally, we use these lists and apply web mining techniques and natural language processing (NLP) to measure TA from German HEI. To this end, we analyze a total of 299,229 texts from 376 German HEI websites. Our study shows that our proposed approach represents an effective and valuable tool for measuring TA from HEI and provides a foundation for further research

    Mind Your Meds: Safe Opioid Disposal Awareness

    Get PDF
    Driven by the effects of the opioid epidemic on friends, family members, students, and patients, members of the 2019 GEHLI Team “Mission Possible” are dedicated to bolstering educational awareness of safe leftover opioid disposal methods to decrease the supply of opioids in our community. On average, over 2/3 of opioid prescription medications are leftover and lead to later misuse or abuse (JAMA Survey). Despite a decrease in prescription writing for pain medication over the years, the mortality rate from overdose, and the rate of infants born to mothers with opioid abuse continues to steadily increase in Virginia (VDH). Team Mission Possible seeks to promote awareness of both the need and resources available for safe opioid disposal by educating prescribers in the VCU Health system and spreading knowledge to VCU patients, students, faculty, staff, and members of the surrounding community through: educational events on the Monroe Park and Medical campuses; teaming up with Miss Virginia’s “Mind your Meds campaign”; live Facebook interviews; and educational flyers

    Research priorities in cardiovascular imaging.

    Get PDF
    AIM: A modified Delphi approach was used to develop consensus opinion among British Society for Cardiac Imaging/British Society of Cardiac CT (BSCI/BSCCT) members in order to prioritise research questions in cardiovascular imaging. METHODS: All members of the BSCI/BSCCT were invited to submit research questions that they considered to be of the highest clinical and/or academic priority in the field of cardiovascular imaging (phase 1). Subsequently a steering committee removed duplicate questions and combined questions of a similar theme by consensus agreement where appropriate. BSCI/BSCCT members were invited to rank the resulting research questions in two further iterative rounds (phases 2 and 3) to determine a final list of high-priority research questions. RESULTS: A total of 111 research questions were submitted in phase 1 by 30 BSCI/BSCCT members. While there was a broad range of topics, from determining the optimal features/markers of the vulnerable plaque to investigating how cardiac imaging can best be used to maximise clinical outcomes and economic costs, multimodality imaging-related (n=44, 40%) questions dominated the categories and coronary artery imaging (n=40, 36%) was the most common topic. Over two iterative rounds of prioritisation of these research questions, the original 111 were reduced to 75 questions in round 2, and 25 in round 3. From these 25 a final Top 10 list was distilled by consensus grouping. CONCLUSION: This study has identified and ranked the top research priorities in cardiovascular imaging, as identified by the BSCI/BSCCT membership. This is a first step towards identifying the cardiovascular imaging research priorities within the UK and may assist researchers and funding bodies alike in setting priorities

    From Anecdotal Evidence to Quantitative Evaluation Methods:A Systematic Review on Evaluating Explainable AI

    Get PDF
    The rising popularity of explainable artificial intelligence (XAI) to understand high-performing black boxes, also raised the question of how to evaluate explanations of machine learning (ML) models. While interpretability and explainability are often presented as a subjectively validated binary property, we consider it a multi-faceted concept. We identify 12 conceptual properties, such as Compactness and Correctness, that should be evaluated for comprehensively assessing the quality of an explanation. Our so-called Co-12 properties serve as categorization scheme for systematically reviewing the evaluation practice of more than 300 papers published in the last 7 years at major AI and ML conferences that introduce an XAI method. We find that 1 in 3 papers evaluate exclusively with anecdotal evidence, and 1 in 5 papers evaluate with users. We also contribute to the call for objective, quantifiable evaluation methods by presenting an extensive overview of quantitative XAI evaluation methods. This systematic collection of evaluation methods provides researchers and practitioners with concrete tools to thoroughly validate, benchmark and compare new and existing XAI methods. This also opens up opportunities to include quantitative metrics as optimization criteria during model training in order to optimize for accuracy and interpretability simultaneously.Comment: Link to website added: https://utwente-dmb.github.io/xai-papers

    Sex Differences in the Frequencies of B and T Cell Subpopulations of Human Cord Blood

    Get PDF
    Cord blood represents a link between intrauterine and early extrauterine development. Cord blood cells map an important time frame in human immune imprinting processes. It is unknown whether the sex of the newborn affects the lymphocyte subpopulations in the cord blood. Nine B and twenty-one T cell subpopulations were characterized using flow cytometry in human cord blood from sixteen male and twenty-one female newborns, respectively. Except for transitional B cells and naïve B cells, frequencies of B cell counts across all subsets was higher in the cord blood of male newborns than in female newborns. The frequency of naïve thymus-negative Th cells was significantly higher in male cord blood, whereas the remaining T cell subpopulations showed a higher count in the cord blood of female newborns. Our study is the first revealing sex differences in the B and T cell subpopulations of human cord blood. These results indicate that sex might have a higher impact for the developing immune system, urging the need to expand research in this area

    Caveolin 1 is overexpressed and amplified in a subset of basal-like and metaplastic breast carcinomas: a morphologic, ultrastructural, immunohistochemical, and in situ hybridization analysis

    Get PDF
    The distribution and significance of caveolin 1 (CAV1) expression in different breast cell types and role in breast carcinogenesis remain poorly understood. Both tumor-suppressive and oncogenic roles have been proposed for this protein. The aims of this study were to characterize the distribution of CAV1 in normal breast, benign breast lesions, breast cancer precursors, and metaplastic breast carcinomas; to assess the prognostic significance of CAV1 expression in invasive breast carcinomas; and to define whether CAV1 gene amplification is the underlying genetic mechanism driving CAV1 overexpression in breast carcinomas. Purpose: The distribution and significance of caveolin 1 (CAV1) expression in different breast cell types and role in breast carcinogenesis remain poorly understood. Both tumor-suppressive and oncogenic roles have been proposed for this protein. The aims of this study were to characterize the distribution of CAV1 in normal breast, benign breast lesions, breast cancer precursors, and metaplastic breast carcinomas; to assess the prognostic significance of CAV1 expression in invasive breast carcinomas; and to define whether CAV1 gene amplification is the underlying genetic mechanism driving CAV1 overexpression in breast carcinomas. Experimental Design: CAV1 distribution in frozen and paraffin-embedded whole tissue sections of normal breast was evaluated using immunohistochemistry, immunofluorescence, and immunoelectron microscopy. CAV1 expression was immunohistochemically analyzed in benign lesions, breast cancer precursors, and metaplastic breast carcinomas and in a cohort of 245 invasive breast carcinomas from patients treated with surgery followed by anthracycline-based chemotherapy. In 25 cases, CAV1 gene amplification was assessed by chromogenic in situ hybridization. Results: In normal breast, CAV1 was expressed in myoepithelial cells, endothelial cells, and a subset of fibroblasts. Luminal epithelial cells showed negligible staining. CAV1 was expressed in 90% of 39 metaplastic breast carcinomas and in 9.4% of 245 invasive breast cancers. In the later cohort, CAV1 expression was significantly associated with ‘basal-like’ immunophenotype and with shorter disease-free and overall survival on univariate analysis. CAV1 gene amplification was found in 13% of cases with strong CAV1 expression. Conclusions: The concurrent CAV1 amplification and overexpression call into question its tumor-suppressive effects in basal-like breast carcinomas
    corecore