13 research outputs found

    Refugee Women’s Experiences of Violence and Resilience: Early Explorations

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    Refugee experiences of violence are well known and may include violence in the country of origin, in refugee camps, countries of detention and, especially for women and children, in their own families before and after resettlement. The resilience of former refugees to violence has been noted in recent times by a range of agencies. Across Australia, a number of initiatives are in place to deal with experiences of violence in these communities, including policing programs, settlement support services, community support groups and torture and trauma survival services. This paper will report on the preliminary findings of a qualitative project investigating the relationship between refugee women, violence and resilience in the context of resettlement. Focusing on interviews with service providers, the paper will explore how resilience is understood within, and may impact on, service provision.Sydney Institute of Criminology; School of Social Sciences at the University of Western Sydne

    Virtualización del Título Propio en Olivicultura y Elaiotecnia. Elaboración de Materiales

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    Es conocido que España es primer país productor de aceite de oliva del mundo, con un 40 % de la producción mundial y el 50 % de la producción de la Unión Europea, siendo la provincia de Jaén, con el 38,4 % de la producción española, la mayor zona productora del mundo en aceite de oliva. Sin embargo, se trata de un sector en el que la escasa profesionalización es, tal vez, su mayor debilidad.La Universidad de Jaén, consciente del importante papel que ha de jugar como Institución dinamizadora del desarrollo de su entorno, en el que el sector del olivar y del aceite de oliva tiene una enorme importancia, considera que es urgente formar titulados universitarios de grado superior que posean conocimientos integrales y solventes en olivicultura y elaiotecnia de modo que incorporados a las empresas del sector del olivar y el aceite de oliva o creando las suyas propias, lo modernicen y desarrollen, contribuyendo a dotarlo de cultura empresarial y al desarrollo socioeconómico y, por ende, al bienestar de los ciudadanos de la provincia

    Stratification for Identification of Prognostic Categories In the Acute RESpiratory Distress Syndrome (SPIRES) Score

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    OBJECTIVES: To develop a scoring model for stratifying patients with acute respiratory distress syndrome into risk categories (Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score) for early prediction of death in the ICU, independent of the underlying disease and cause of death. DESIGN: A development and validation study using clinical data from four prospective, multicenter, observational cohorts. SETTING: A network of multidisciplinary ICUs. PATIENTS: One-thousand three-hundred one patients with moderate-to-severe acute respiratory distress syndrome managed with lung-protective ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The study followed Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guidelines for prediction models. We performed logistic regression analysis, bootstrapping, and internal-external validation of prediction models with variables collected within 24 hours of acute respiratory distress syndrome diagnosis in 1,000 patients for model development. Primary outcome was ICU death. The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score was based on patient's age, number of extrapulmonary organ failures, values of end-inspiratory plateau pressure, and ratio of Pao(2) to Fio(2) assessed at 24 hours of acute respiratory distress syndrome diagnosis. The pooled area under the receiver operating characteristic curve across internal-external validations was 0.860 (95% CI, 0.831-0.890). External validation in a new cohort of 301 acute respiratory distress syndrome patients confirmed the accuracy and robustness of the scoring model (area under the receiver operating characteristic curve = 0.870; 95% CI, 0.829-0.911). The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score stratified patients in three distinct prognostic classes and achieved better prediction of ICU death than ratio of Pao(2) to Fio(2) at acute respiratory distress syndrome onset or at 24 hours, Acute Physiology and Chronic Health Evaluation II score, or Sequential Organ Failure Assessment scale. CONCLUSIONS: The Stratification for identification of Prognostic categories In the acute RESpiratory distress syndrome score represents a novel strategy for early stratification of acute respiratory distress syndrome patients into prognostic categories and for selecting patients for therapeutic trials.Analysis and support of clinical decision makingDevelopment and application of statistical models for medical scientific researc
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