Ebsen Raahauge (yewrecord61)

Aim of the study To collect and analyse data obtained from HCV opinion leaders/experts from central European countries, on factors which can affect the WHO target of HCV elimination by 2030. Material and methods Data were collected from opinion leaders/experts involved in management of HCV infections in Central European countries which participated in 9th Conference of the Central European Hepatologic Collaboration (Warsaw, 10-11 October 2019). A dedicated questionnaire collected current information related to HCV elimination in Bulgaria, Croatia, the Czech Republic, Hungary, Latvia, Lithuania, Poland and Slovakia. Results The HCV prevalence rate in particular countries varied from 0.2% to 1.7%. In most central European countries all the HCV infected population is eligible for reimbursement of treatment. selleck products However, in some countries there are still some limitations related to the stage of the disease and people who inject drugs. All countries have access to at least one pangenotypic regimen. The most common barrier to HCV elimination in all countries is insufficient political will to establish priority for HCV. None of the reporting countries has established a national screening programme. Conclusions Access to therapy for HCV is similar and the majority of patients in Central Europe can be treated according to the current guidelines. Unfortunately there are still some limitations and a lack of political will to implement national screening programmes. According to collected data HCV elimination will not be possible in the region by 2030. Copyright © 2020 Clinical and Experimental Hepatology.Flipped classroom (FCR) is an active learning pedagogical method in which the students prepare prior to class using different modalities, for example, reading materials and videos, and afterward spend the time in class discussing the content and reinforcing the concepts. We chose to replace one problem-based case on "Shock" with flipped-style teaching in the respiration circulation module of a private medical university. Our objective was to use the clinical presentation of "Shock" to open a window to interrelate basic science concepts of cardiovascular physiology and pathology. It aimed to merge the case-based discussion with small-group discussions in the form of FCR activity. The qualitative study gives an overview of comments of facilitators, observers, and leadership of the Department and University obtained during focus group discussions and in-depth interviews. Thematic analysis of responses emphasized the importance of FCR as an effective teaching learning modality, which can be made more effective by careful selection of topic and provision of facilities to support technology-enhanced learning. The discussions with facilitators, observers, and leadership revealed its usefulness through student's engagement and increased participation to build learning of the key concepts. Student satisfaction in these activities can be enhanced by construction of knowledge acquired in non-face-to-face component with substantial pre-reading materials, videos, peer discussions, quizzes, and prompt feedback. © The Author(s) 2020.Traditionally, statistical procedures have been derived via analytic calculations whose validity often relies on sample size growing to infinity. We use tools from deep learning to develop a new approach, adversarial Monte Carlo meta-learning, for constructing optimal statistical procedures. Statistical problems are framed as two-player games in which Nature adversarially selects a distribution that makes it difficult for a statistician to answer the scientific question using data drawn from this distribution. The players' strategies are parameterized via neural networks, and optimal play is learned by modifying the network weights over many repetitions of the game. Given sufficient computing time, the statistician's strategy is (nearly) optimal at the finite observed sample size, rather than in the hypothe