20,602 research outputs found

    Resilience–Recovery Factors in Post-traumatic Stress Disorder Among Female and Male Vietnam Veterans: Hardiness, Postwar Social Support, and Additional Stressful Life Events

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    Structural equation modeling procedures were used to examine relationships among several war zone stressor dimensions, resilience-recovery factors, and post-traumatic stress disorder symptoms in a national sample of 1,632 Vietnam veterans (26% women and 74% men). A 9-factor measurement model was specified on a mixed-gender subsample of the data and then replicated on separate subsamples of female and male veterans. For both genders, the structural models supported strong mediation effects for the intrapersonal resource characteristic of hardiness, postwar structural and functional social support, and additional negative life events in the postwar period. Support for moderator effects or buffering in terms of interactions between war zone stressor level and resiliencerecovery factors was minimal

    Older Adults’ Social Relations: Life Satisfaction to Widowhood

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    Abstract The objective of this study was to examine the breadth and depth of relationships with relatives and friends and the possible implications of those relationships with regards to life satisfaction to widowhood. Data from the National Social Life, Health, and Aging Project (NSHAP) survey were used, which sampled persons 57-85 years of age (N=3005). It was hypothesized that older widowed adults have greater quality of both family and friend relationships than do older married adults. Structural Equational Modeling analysis results supported these hypotheses, revealing that older widowed adults reported higher quality of engagement in family and friend relations compared to older married adults, possibly enabling greater life satisfaction to widowhood. Key words: widowed older adults, life satisfaction to widowhood, family and friend relations in widowhoo

    Moving from medical to health systems classifications of deaths : extending verbal autopsy to collect information on the circumstances of mortality

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    Acknowledgements The authors would also like to acknowledge the field staff at the MRC, SA/Wits Agincourt Unit, particularly Sizzy Ngobeni. The authors also acknowledge Drs Malin Eriksson and Edward Fottrell at UmeĂĄ Centre for Global Health Research *UCGHR) who contributed to the development of the SF-VA indicators, Dr Nawi Ng at UCGHR who advised on the cause of death categories, and Dr Kerstin Edin at UCGHR who provided comments on the manuscript categories, and Dr Kerstin Edin who provided comments on the manuscript. Funding A Health Systems Research Initiative Development Grant from the UK Department for International Development (DFID), Economic and Social Research Council (ESRC), Medical Research Council (MRC (and the Wellcome Trust (MR/N005597/1) funds the research presented in this paper. Support for the Agincourt HDSS including verbal autopsies was provided by The Wellcome Trust, UK (grants 058893/Z/99/A; 069683/Z/02/Z; 085477/Z/08/Z; 085477/B/08/Z), and the University of the Witwatersrand and Medical Research Council, South Africa.Peer reviewedPublisher PD

    ILR Faculty Publications 2003-04

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    The production of scholarly research continues to be one of the primary missions of the ILR School. During a typical academic year, ILR faculty members published or had accepted for publication over 25 books, edited volumes, and monographs, 170 articles and chapters in edited volumes, numerous book reviews. In addition, a large number of manuscripts were submitted for publication, presented at professional association meetings, or circulated in working paper form. Our faculty's research continues to find its way into the very best industrial relations, social science and statistics journals.Faculty_Publications_2003_04.pdf: 30 downloads, before Oct. 1, 2020

    Aerosol Data Sources and Their Roles within PARAGON

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    We briefly but systematically review major sources of aerosol data, emphasizing suites of measurements that seem most likely to contribute to assessments of global aerosol climate forcing. The strengths and limitations of existing satellite, surface, and aircraft remote sensing systems are described, along with those of direct sampling networks and ship-based stations. It is evident that an enormous number of aerosol-related observations have been made, on a wide range of spatial and temporal sampling scales, and that many of the key gaps in this collection of data could be filled by technologies that either exist or are expected to be available in the near future. Emphasis must be given to combining remote sensing and in situ active and passive observations and integrating them with aerosol chemical transport models, in order to create a more complete environmental picture, having sufficient detail to address current climate forcing questions. The Progressive Aerosol Retrieval and Assimilation Global Observing Network (PARAGON) initiative would provide an organizational framework to meet this goal

    Data centric trust evaluation and prediction framework for IOT

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    © 2017 ITU. Application of trust principals in internet of things (IoT) has allowed to provide more trustworthy services among the corresponding stakeholders. The most common method of assessing trust in IoT applications is to estimate trust level of the end entities (entity-centric) relative to the trustor. In these systems, trust level of the data is assumed to be the same as the trust level of the data source. However, most of the IoT based systems are data centric and operate in dynamic environments, which need immediate actions without waiting for a trust report from end entities. We address this challenge by extending our previous proposals on trust establishment for entities based on their reputation, experience and knowledge, to trust estimation of data items [1-3]. First, we present a hybrid trust framework for evaluating both data trust and entity trust, which will be enhanced as a standardization for future data driven society. The modules including data trust metric extraction, data trust aggregation, evaluation and prediction are elaborated inside the proposed framework. Finally, a possible design model is described to implement the proposed ideas

    Managing engagement behaviors in a network of customers and stakeholders: evidence from the nursing home sector

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    Firms striving for long-term profitability need to build stronger customer-firm relationships by getting their customers more engaged with the firm. One path to this end is introducing practices to manage different forms of customer engagement behaviors (CEBs). To develop more effective and efficient CEB management practices, this research proposes and empirically tests a theoretical model on managerial and psychological processes to encourage CEBs that are embedded in a broader network of customers and stakeholders. Based on qualitative and quantitative studies in nursing homes, we demonstrate that organizational support and overall service quality toward significant others influence some forms of CEBs—more particularly feedback and positive word of mouth (WOM) behaviors—through customer affect toward the organization. It is interesting to note that customer affect toward the organization encouragesWOMbehaviors, while it discourages feedback behaviors. Conversely, managerial processes that increase customer role readiness—such as organizational socialization and support from other customers—were found to have a positive impact on all forms of CEBs. This research helps managers of nursing homes and other services with a broad network of customers and stakeholders to improve existing CEB management practices and develop new CEB management practices that are beneficial for the firm and its stakeholders
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