822 resultados para Disaster Resilience


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Global projections for climate change impacts produce a startling picture of the future for low-lying coastal communities. The United States’ Chesapeake Bay region and especially marginalized and rural communities will be severely impacted by sea level rise and other changes over the next one hundred years. The concept of resilience has been theorized as a measure of social-ecological system health and as a unifying framework under which people can work together towards climate change adaptation. But it has also been critiqued for the way in which it does not adequately take into account local perspective and experiences, bringing into question the value of this concept as a tool for local communities. We must be sure that the concerns, weaknesses, and strengths of particular local communities are part of the climate change adaptation, decision-making, and planning process in which communities participate. An example of this type of planning process is the Deal Island Marsh and Community Project (DIMCP), a grant funded initiative to build resilience within marsh ecosystems and communities of the Deal Island Peninsula area of Maryland (USA) to environmental and social impacts from climate change. I argue it is important to have well-developed understandings of vulnerabilities and resiliencies identified by local residents and others to accomplish this type of work. This dissertation explores vulnerability and resilience to climate change using an engaged and ethnographic anthropological perspective. Utilizing participant observation, semi-structured and structured interviews, text analysis, and cultural domain analysis I produce an in-depth perspective of what vulnerability and resilience means to the DIMCP stakeholder network. Findings highlight significant vulnerabilities and resiliencies inherent in the local area and how these interface with additional vulnerabilities and resiliencies seen from a nonlocal perspective. I conclude that vulnerability and resilience are highly dynamic and context-specific for the local community. Vulnerabilities relate to climate change and other social and environmental changes. Resilience is a long-standing way of life, not a new concept related specifically to climate change. This ethnographic insight into vulnerability and resilience provides a basis for stronger engagement in collaboration and planning for the future.

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Transportation system resilience has been the subject of several recent studies. To assess the resilience of a transportation network, however, it is essential to model its interactions with and reliance on other lifelines. In this work, a bi-level, mixed-integer, stochastic program is presented for quantifying the resilience of a coupled traffic-power network under a host of potential natural or anthropogenic hazard-impact scenarios. A two-layer network representation is employed that includes details of both systems. Interdependencies between the urban traffic and electric power distribution systems are captured through linking variables and logical constraints. The modeling approach was applied on a case study developed on a portion of the signalized traffic-power distribution system in southern Minneapolis. The results of the case study show the importance of explicitly considering interdependencies between critical infrastructures in transportation resilience estimation. The results also provide insights on lifeline performance from an alternative power perspective.

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This thesis deals with quantifying the resilience of a network of pavements. Calculations were carried out by modeling network performance under a set of possible damage-meteorological scenarios with known probability of occurrence. Resilience evaluation was performed a priori while accounting for optimal preparedness decisions and additional response actions that can be taken under each of the scenarios. Unlike the common assumption that the pre-event condition of all system components is uniform, fixed, and pristine, component condition evolution was incorporated herein. For this purpose, the health of the individual system components immediately prior to hazard event impact, under all considered scenarios, was associated with a serviceability rating. This rating was projected to reflect both natural deterioration and any intermittent improvements due to maintenance. The scheme was demonstrated for a hypothetical case study involving Laguardia Airport. Results show that resilience can be impacted by the condition of the infrastructure elements, their natural deterioration processes, and prevailing maintenance plans. The findings imply that, in general, upper bound values are reported in ordinary resilience work, and that including evolving component conditions is of value.

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This dissertation examines the quality of hazard mitigation elements in a coastal, hazard prone state. I answer two questions. First, in a state with a strong mandate for hazard mitigation elements in comprehensive plans, does plan quality differ among county governments? Second, if such variation exists, what drives this variation? My research focuses primarily on Florida’s 35 coastal counties, which are all at risk for hurricane and flood hazards, and all fall under Florida’s mandate to have a comprehensive plan that includes a hazard mitigation element. Research methods included document review to rate the hazard mitigation elements of all 35 coastal county plans and subsequent analysis against demographic and hazard history factors. Following this, I conducted an electronic, nationwide survey of planning professionals and academics, informed by interviews of planning leaders in Florida counties. I found that hazard mitigation element quality varied widely among the 35 Florida coastal counties, but were close to a normal distribution. No plans were of exceptionally high quality. Overall, historical hazard effects did not correlate with hazard mitigation element quality, but some demographic variables that are associated with urban populations did. The variance in hazard mitigation element quality indicates that while state law may mandate, and even prescribe, hazard mitigation in local comprehensive plans, not all plans will result in equal, or even adequate, protection for people. Furthermore, the mixed correlations with demographic variables representing social and disaster vulnerability shows that, at least at the county level, vulnerability to hazards does not have a strong effect on hazard mitigation element quality. From a theory perspective, my research is significant because it compares assumptions about vulnerability based on hazard history and demographics to plan quality. The only vulnerability-related variables that appeared to correlate, and at that mildly so, with hazard mitigation element quality, were those typically representing more urban areas. In terms of the theory of Neo-Institutionalism and theories related to learning organizations, my research shows that planning departments appear to have set norms and rules of operating that preclude both significant public involvement and learning from prior hazard events.

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Prior resilience research typically focuses on either the individual or the organisational level of analysis, emphasises resilience in relation to day-to-day stressors rather than extreme events and is empirically under-developed. In response, our study inductively theorises about the relationships between individual and organisational resilience, drawing upon a large-scale study of resilience work in UK and French organisations. Our first-hand accounts of resilience work reveal the micro-processes involved in producing resilient organisations, and highlight the challenges experienced in doing resilience work in large organisations. We show that these micro-processes have significant implications for resilience at both individual and organisational levels, and draw implications for how HRM interventions can help to promote individual, and thus organisational, resilience.

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Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to differentiate patients with BD from healthy individuals and from individuals at familial risk for BD who either remain well or develop other psychopathology, most commonly Major Depressive Disorder (MDD). These issues are particularly pertinent to the development of translational applications of neuroimaging as they represent challenges for which clinical observation alone is insufficient. We therefore applied pattern classification to task-based functional magnetic resonance imaging (fMRI) data of the n-back working memory task, to test their predictive value in differentiating patients with BD (n=30) from healthy individuals (n=30) and from patients' relatives who were either diagnosed with MDD (n=30) or were free of any personal lifetime history of psychopathology (n=30). Diagnostic stability in these groups was confirmed with 4-year prospective follow-up. Task-based activation patterns from the fMRI data were analyzed with Gaussian Process Classifiers (GPC), a machine learning approach to detecting multivariate patterns in neuroimaging datasets. Consistent significant classification results were only obtained using data from the 3-back versus 0-back contrast. Using contrast, patients with BD were correctly classified compared to unrelated healthy individuals with an accuracy of 83.5%, sensitivity of 84.6% and specificity of 92.3%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their relatives with MDD, were respectively 73.1%, 53.9% and 94.5%. Classification accuracy, sensitivity and specificity when comparing patients with BD to their healthy relatives were respectively 81.8%, 72.7% and 90.9%. We show that significant individual classification can be achieved using whole brain pattern analysis of task-based working memory fMRI data. The high accuracy and specificity achieved by all three classifiers suggest that multivariate pattern recognition analyses can aid clinicians in the clinical care of BD in situations of true clinical uncertainty regarding the diagnosis and prognosis.

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Research in human computer interaction (HCI) covers both technological and human behavioural concerns. As a consequence, the contributions made in HCI research tend to be aware to either engineering or the social sciences. In HCI the purpose of practical research contributions is to reveal unknown insights about human behaviour and its relationship to technology. Practical research methods normally used in HCI include formal experiments, field experiments, field studies, interviews, focus groups, surveys, usability tests, case studies, diary studies, ethnography, contextual inquiry, experience sampling, and automated data collection. In this paper, we report on our experience using the evaluation methods focus groups, surveys and interviews and how we adopted these methods to develop artefacts: either interface’s design or information and technological systems. Four projects are examples of the different methods application to gather information about user’s wants, habits, practices, concerns and preferences. The goal was to build an understanding of the attitudes and satisfaction of the people who might interact with a technological artefact or information system. Conversely, we intended to design for information systems and technological applications, to promote resilience in organisations (a set of routines that allow to recover from obstacles) and user’s experiences. Organisations can here also be viewed within a system approach, which means that the system perturbations even failures could be characterized and improved. The term resilience has been applied to everything from the real estate, to the economy, sports, events, business, psychology, and more. In this study, we highlight that resilience is also made up of a number of different skills and abilities (self-awareness, creating meaning from other experiences, self-efficacy, optimism, and building strong relationships) that are a few foundational ingredients, which people should use along with the process of enhancing an organisation’s resilience. Resilience enhances knowledge of resources available to people confronting existing problems.

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Introduction: Resilience is a core variable in the context of studies on the psychosocial adjustment and school children and teenagers, and should be considered in the context of strategies to promote their well- being and quality of life. Objectives: To know the relationship between resilience, parental support and some sociodemographic variables; outline socio-educational intervention strategies in contexts of children’s lives. Methods: This is a non-experimental, correlational and cross-sectional study, having used a non- probabilistic convenience sample consisting of 150 children, aged between 10 and 16 years old, attending the 2nd and 3rd cycles of Basic Education. The gathering instruments were the Sociodemographic Questionnaire, Inventory Measuring State and Child Resilience (Martins, 2005) and Perception Parental Support Scale (Veiga, 2011). Results: Results show that there are signiicant differences in the values of the current, past and overall resilience, between the age groups children, revealing that children aged between 10 and 11 years have higher results in resilience than young people aged between 14 and 16 years. We also observed signiicant differences in the current resilience, depending on the parents’ marital status (higher when parents are married). We also observed positive and signiicant correlations between resilience and perception of parental support. Conclusions: Results are in line with the scientiic literature in the ield that highlights the key role of resilience in school and psychosocial adjustment of children, and should be considered within the design of socio-educational intervention strategies. Keywords: Resilience. Parental support. Attachment

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This review was initiated based upon allegations from multiple sources of possible fraud in the Disaster Supplemental Nutrition Assistance Program (D-SNAP) administered by the South Carolina Department of Social Services (SCDSS), which was implemented in response to the 10/3/2015 statewide flooding from Hurricane Joaquin. This review’s scope and objectives were: Assess SCDSS’s D-SNAP implementation for compliance with federal guidelines, with emphasis on fraud preventative controls; Assess the SCDSS’s post-disaster review and audit methodology for compliance with federal guidelines, with emphasis on understanding the fraud risks and resolution strategies; and Identify residual risk/suspected fraud not addressed through the SCDSS review and available opportunities to address.

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Last decade is characterized by different types of crises and shocs in the socioeconomic systems, creating a turbulent context and calling for a better understanding of what the dynamic perspective of change is. For countries, regions and cities a better understanding of governance urges and calls for action.

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Diese Dissertation beschäftigt sich mit dem Konzept der Resilienz im Arbeitsumfeld. Drei Forschungsarbeiten liefern einen Beitrag zur Literatur im Bereich der Arbeits- und Organisationspsychologie. In der ersten Studie werden Resilienzskalen miteinander verglichen und im Arbeitskontext validiert. Es wird eine Empfehlung ausgesprochen, welches Messinstrument sich am besten zur Erfassung von Resilienz im Arbeitskontext eignet. Die zweite Studie stellt die Unterschiede zwischen den beiden ähnlichen Konzepten Resilienz und Core Self-Evaluations dar. Zusätzlich wird die kognitive Bewertung von Situationen (Cognitive Appraisal) als Resilienzmechanismus in einem Tagebuchdesign betrachtet. In der dritten Studie wird der regulatorische Fokus von Personen als weiterer Resilienzmechanismus analysiert, um die Zusammenhänge zwischen Resilienz und positiven arbeitsbezogenen Ergebnissen zu erklären. Die Gesamtdiskussion baut auf den Erkenntnissen aus den drei Studien auf und fasst die theoretischen und praktischen Implikationen zusammen. Zusätzlich werden Ideen für die zukünftige Erforschung von Resilienz im Arbeitskontext diskutiert.

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El cambio hoy se reconoce como el principal reto que enfrentan las empresas. Desde diversas ciencias como la biología, la psicología y la dirección se vienen estudiando las diferentes variables que tienen relación con los procesos de ajuste y adaptación que los individuos y las organizaciones desarrollan cuando disrupciones de diverso tipo se materializan en el entorno. En las últimas décadas se ha contemplado el estudio de la resiliencia como una característica que pueden desarrollar las organizaciones. Por ello, es un tema de estudio interesante, tanto desde los individuos como desde las organizaciones. Se revisan en este artículo los conceptos de resiliencia, resiliencia individual y organizacional, así como las relaciones que surgen entre dichos conceptos para explicar el desempeño organizacional.