2,368 research outputs found

    Open-identity sperm donation: how does offering donor-identifying information relate to donor-conceived offspring’s wishes and needs?

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    Over the past years, a growing number of countries have legislated open-identity donation, in which donor-conceived offspring are given access to the donor's identity once the child has reached maturity. It is held that donor anonymity creates identity problems for such children similar to the "genealogical bewilderment" described within the adoption context. The study of the social and psychological effects of open-identity donation is still very much in its infancy, but what has been left unquestioned is whether (and to what extent) offering access to the donor's name and address is an adequate response to such effects. This study has two goals: First, we aim to provide a systematic review of the reasons why donor-conceived (DC) offspring want to know the identity of their sperm donor. Second, we examine to what extent the provision of donor-identifying information can satisfy the reasons mentioned. The most important motivations appear to be: (1) to avoid medical risks and consanguineous relationships; (2) to satisfy curiosity; (3) to learn more about the self or to complete one's identity; (4) to learn more about what kind of person the donor is (biographical information, why he donated, etc.); (5) to form a relationship with the donor and/or his family; and (6) to learn about one's ancestry/genealogy. Our analysis shows that for nearly all of these reasons access to the donor's identity is not necessary. In those cases where it is, moreover, donor identification is not sufficient. What is really needed is (extended) contact with the donor, rather than the mere provision of his name

    Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss

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    We consider a deep matrix factorization model of covariance matrices trained with the Bures-Wasserstein distance. While recent works have made important advances in the study of the optimization problem for overparametrized low-rank matrix approximation, much emphasis has been placed on discriminative settings and the square loss. In contrast, our model considers another interesting type of loss and connects with the generative setting. We characterize the critical points and minimizers of the Bures-Wasserstein distance over the space of rank-bounded matrices. For low-rank matrices the Hessian of this loss can theoretically blow up, which creates challenges to analyze convergence of optimizaton methods. We establish convergence results for gradient flow using a smooth perturbative version of the loss and convergence results for finite step size gradient descent under certain assumptions on the initial weights.Comment: 35 pages, 1 figure, accepted at ICML 202

    A Cognitive-Behavioural Program (One Day a Week) for Patients With Obesity and Binge Eating Disorder: Short-Term Follow-up Data

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    This paper describes an innovative cognitive behavioural program for the treatment of patients with binge eating disorder in the University Psychiatric Center K.U. Leuven Campus Kortenberg in Belgium. The program runs one day a week during 6 months and consists of 24 sessions. The most important therapeutic goals are: (1) normalization of eating habits and stopping the binge eating episodes; (2) promoting physical activity and a positive body experience; (3) learning specific skills such as assertivity, installing a functional self-evaluation system; learning to identify, tolerate and express negative emotions, promoting self-esteem and prevention of relapse. Overall, the goal is to promote both physical and psychological well-being and quality of life. Some preliminary research data on the effectiveness of this program are described. Despite a rather limited weight loss, the number of binges per week decreased significantly, which was the main therapeutic goal of the treatment. Furthermore, the results show some promising improvements on different psychological parameters in BED patients

    The Robust Price of Anarchy of Altruistic Games

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    Robust Price of Anarchy for Atomic Games with Altruistic Players

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    We study the inefficiency of equilibria for various classes of games when players are (partially) altruistic. We model altruistic behavior by assuming that player i's perceived cost is a convex combination of 1-\beta_i times his direct cost and \beta_i times the social cost. Tuning the parameters \beta_i allows smooth interpolation between purely selfish and purely altruistic behavior. Within this framework, we study altruistic extensions of linear congestion games, fair cost-sharing games and valid utility games. We derive (tight) bounds on the price of anarchy of these games for several solution concepts. Thereto, we suitably adapt the smoothness notion introduced by Roughgarden and show that it captures the essential properties to determine the robust price of anarchy of these games. Our bounds reveal that for congestion games and cost-sharing games the worst-case robust price of anarchy increases with increasing altruism, while for valid utility games it remains constant and is not affected by altruism. We also show that the increase in price of anarchy is not a universal phenomenon: for symmetric singleton linear congestion games we derive a bound on the price of anarchy for pure Nash equilibria that decreases as the level of altruism increases. Since the bound is also strictly lower than the robust price of anarchy, it exhibits a natural example in which Nash equilibria are more efficient than more permissive notions of equilibrium

    Altruism and its impact on the price of anarchy

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    Heat in Germany: Health risks and preventive measures

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    Background: Climate change has already led to a significant temperature increase in Germany. The average temperature in the past decade was approximately 2°C above the pre-industrial level and eight of the ten hottest summers since the beginning of systematic weather records in 1881 were recorded in the last 30 years. Methods: Based on a selective literature search and authors’ evaluations, the article summarises the current state of knowledge on heat and its health impacts for Germany, addresses adaptation measures, and gives an outlook on implementation and research questions. Results: Heat can aggravate pre-existing conditions such as diseases of the cardiovascular system, the respiratory tract, or the kidneys and trigger potentially harmful side effects for numerous medications. A significant increase in mortality is regularly observed during heat events. Previous approaches to mitigate the health impact of high temperatures include, for example, the heat alerts of the German Meteorological Service and recommendations for the preparation of heat-health action plans. Conclusions: Evidence on health impacts of heat and awareness of the need for heat-related health protection have grown in recent years, but there is still a need for further action and research. This is part of a series of articles that constitute the German Status Report on Climate Change and Health 2023

    A toolbox for the comprehensive analysis of small volume human intestinal samples that can be used with gastrointestinal sampling capsules

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    Detailed knowledge on the fate of dietary components inside the human intestinal tract is lacking. Access to this inner world of digestion is now possible through novel human gastrointestinal sampling capsules. Due to the novelty of such devices, no methodology has been published to stabilise and analyse the resulting samples. A complicating factor is that excretion of such capsules in faeces may take days, while degradation of the dietary components continues. Therefore a stabilising reagent should be pre-loaded in the capsule to ensure the measurement of a representative sample. Considering the small volume of recovered samples, analytical methods must be optimized to collect as many data as possible from little material. We present a complete workflow for stabilising and analysing the fermentation status of dietary fibres in such samples, including microbiota, fibre degradation, and short chain fatty acids. The final quenching reagent was designed based on safety and effectiveness to inhibit fructo- and galacto-oligosaccharides degradation and short chain fatty acids production by human ileostomy microbiota, and subsequently validated in faecal samples. The final composition of the stock quenching reagent is 175 mM Tris, 525 mM NaCl, 35 mM EDTA, 12% SDS, and 8 M urea at pH 8.5.</p
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