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A Descriptive Study of Military Family Needs Following a Polytraumatic InjuryHarmon, Anna Lisa 01 January 2007 (has links)
Family members of service personnel with polytraumatic injuries face a wide range of challenges. Research has shown that family member adaptation and adjustment to the caregiver role has a significant impact on the well-being of the person with the injuries. The Veterans Health Administration is rapidly developing services to meet the needs of severely injured service personnel and their family members. The purpose of the present study was to test the feasibility of a method of assessment to identify the needs of individual family members of service personnel and veterans receiving inpatient rehabilitation services at the Polytrauma Rehabilitation Center (PRC) located within the Hunter Holmes McGuire Veterans Affairs Medical Center in Richmond, Virginia. Family member needs and emotional distress levels were quantitatively assessed. Qualitative data was collected with the intent of gaining a better understanding of the needs of families of individuals with severe injury from within a military cultural context. Results of this study suggest emotional distress levels of family members of persons receiving treatment on the PRC are not clinically significant. Study participants report overwhelming satisfaction with the program of care offered to patients and family members on the PRC. Furthermore, results of this study suggest that family members benefited from participating in the study. A strength-based family care pathway that utilizes an individual assessment of family needs is proposed and recommended for use with family members of individuals enrolled in the Veterans Health Administration polytrauma network services.
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Analyse des incertitudes dans une estimation probabiliste de l'aléa sismique, exemple de la FranceBeauval, Céline 16 December 2003 (has links) (PDF)
Cette thèse propose une nouvelle méthodologie permettant d'une part d'identifier les paramètres clefs qui contrôlent l'estimation de l'aléa sismique probabiliste, et d'autre part de quantifier l'impact des incertitudes de ces paramètres sur les estimations d'aléa. La méthode de Cornell-McGuire est utilisée dans cette étude. Tout d'abord, les incertitudes sur les déterminations de magnitude et de localisation sont modélisées et quantifiées : la variabilité résultante sur les estimations d'aléa est comprise entre 5 et 25% (=COV), selon le site et la période de retour considérés. Une étude est ensuite menée afin de hiérarchiser les impacts sur l'aléa liés aux choix de quatre paramètres : corrélation intensité-magnitude, magnitudes minimales et maximales, troncature de la relation d'atténuation du mouvement du sol. Les résultats à 34 Hz (PGA) indiquent que la magnitude maximale est le paramètre le moins influent (de 100 à 10000 ans) ; tandis que la corrélation I-M et la troncature des prédictions du mouvement du sol (>2¾) jouent un rôle clef quelle que soit la période de retour considérée (diminution de l'aléa jusqu'à 30% à 10000 ans). Une augmentation de la magnitude minimale contribuant à l'aléa, de 3.5 à 4.5, peut également produire des impacts non négligeables à courtes périodes de retour (diminution des valeurs d'aléa jusqu'à 20% à 475 ans). Enfin, la variabilité totale des estimations d'aléa, due aux choix combinés des quatre paramètres, peut atteindre 30% (COV, à 34 Hz). Pour des fréquences plus faibles (<5Hz), la variabilité totale augmente et la magnitude maximale devient un paramètre important. Ainsi, la variabilité des estimations due aux incertitudes de catalogue et aux choix de ces quatre paramètres doit être prise en compte dans toute étude d'estimation de l'aléa sismique probabiliste en France. Cette variabilité pourra être réduite en élaborant une corrélation intensité-magnitude plus appropriée, et en recherchant une manière plus réaliste de prendre en compte la dispersion du mouvement du sol.
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Essays on regulatory impact in electricity and internet marketsRoderick, Thomas Edward 26 June 2014 (has links)
This dissertation details regulation's impact in networked markets, notably in deregulated electricity and internet service markets. These markets represent basic infrastructure in the modern economy; their innate networked structures make for rich fields of economic research on regulatory impact. The first chapter models deregulated electricity industries with a focus on the Texas market. Optimal economic benchmarks are considered for markets with regulated delivery and interrelated network costs. Using a model of regulator, consumer, and firm interaction, I determine the efficiency of the current rate formalization compared to Ramsey-Boiteux prices and two-part tariffs. I find within Texas's market increases to generator surplus up to 55% of subsidies could be achieved under Ramsey-Boiteux pricing or two-part tariffs, respectively. The second chapter presents a framework to analyze dynamic processes and long-run outcomes in two-sided markets, specifically dynamic platform and firm investment incentives within the internet-service platform/content provision market. I use the Ericson-Pakes framework applied within a platform that chooses fees on either side of its two-sided market. This chapter determines the impact of network neutrality on platform investment incentives, specifically whether to improve the platform. I use a parameterized calibration from engineering reports and current ISP literature to determine welfare outcomes and industry behavior under network neutral and non-neutral regimes. My final chapter explores retail firm failure within the deregulated Texas retail electricity market. This chapter investigates determinants of retail electric firm failures using duration analysis frameworks. In particular, this chapter investigates the impact of these determinants on firms with extant experience versus unsophisticated entrants. Understanding these determinants is an important component in evaluating whether deregulation achieves the impetus of competitive electricity market restructuring. Knowing which economic events decrease a market's competitiveness helps regulators to effectively evaluate policy implementations. I find that experience does benefit a firm's duration, but generally that benefit assists firm duration in an adverse macroeconomic environment rather than in response to adverse market conditions such as higher wholesale prices or increased transmission congestion. Additionally, I find evidence that within the Texas market entering earlier results in a longer likelihood of duration. / text
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