32 research outputs found

    Global sensitivity analysis of stochastic computer models with joint metamodels

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    The global sensitivity analysis method used to quantify the influence of uncertain input variables on the variability in numerical model responses has already been applied to deterministic computer codes; deterministic means here that the same set of input variables gives always the same output value. This paper proposes a global sensitivity analysis methodology for stochastic computer codes, for which the result of each code run is itself random. The framework of the joint modeling of the mean and dispersion of heteroscedastic data is used. To deal with the complexity of computer experiment outputs, nonparametric joint models are discussed and a new Gaussian process-based joint model is proposed. The relevance of these models is analyzed based upon two case studies. Results show that the joint modeling approach yields accurate sensitivity index estimatiors even when heteroscedasticity is strong

    Outcomes from elective colorectal cancer surgery during the SARS-CoV-2 pandemic

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    This study aimed to describe the change in surgical practice and the impact of SARS-CoV-2 on mortality after surgical resection of colorectal cancer during the initial phases of the SARS-CoV-2 pandemic

    A Variation in the Position of the Mental Foramen: A Case Report

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    The most common position of mental foramen in the human mandible is apical to the second premolar. Literature reports that mental foramen lies either anterior to the first premolar or posterior to the first molar in only 1–2% of cases. A case with a rare variation in position of the mental foramen is presented here

    Influenza vaccination rates, knowledge, attitudes and behaviours of healthcare workers in Turkey: A multicentre study

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    PubMed: 32770856Aim: Influenza vaccination is the most effective method in prevention of influenza disease and its complications. Our study aimed to investigate the rates of vaccination and the behaviours and attitudes against the vaccine in healthcare workers in Turkey. Methods: This multicentre national survey is a descriptive study in which 12 475 healthcare workers. Healthcare workers were asked to answer the questionnaire consisting of 12 questions via the survey. Results: It was found that 6.7% of the healthcare workers regularly got vaccinated each year and that 55% had never had the influenza vaccine before. The biggest obstacle against getting vaccinated was determined as not believing in the necessity of the vaccine (53.1%). Conclusion: The rates of influenza vaccination in healthcare workers in Turkey are quite low. False knowledge and attitudes on the vaccine and disease are seen as the most important reasons to decline vaccination. It is important to detect reasons for anti-vaccination and set a course in order to increase the rates of vaccination. © 2020 John Wiley & Sons Lt
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