International Frameworks for Disaster Risk Reduction: Useful Guidance for Sustainable Mountain Development?

In recent decades, a number of global frameworks have been developed for disaster risk reduction (DRR). The Hyogo Framework for Action 2005–2015 and its successor document, the Sendai Framework for Disaster Risk Reduction, adopted in Japan in March 2015, provide general guidance for reducing risks from natural hazards. This is particularly important for mountainous areas, but DRR for mountain areas and sustainable mountain development received little attention in the recent policy debate. The question remains whether the Hyogo and Sendai frameworks can provide guidance for sustainable mountain development. This article evaluates the 2 frameworks in light of the special challenges of DRR in mountain areas and argues that, while the frameworks offer valuable guidance, they need to be further adapted for local contexts—particularly for mountain areas, which require special attention because of changing risk patterns like the effects of climate change and high land-use pressure.

Index Tracking Using Data-Mining Techniques and Mixed-Binary Linear Programming

Index tracking has become one of the most common strategies in asset management. The index-tracking problem consists of constructing a portfolio that replicates the future performance of an index by including only a subset of the index constituents in the portfolio. Finding the most representative subset is challenging when the number of stocks in the index is large. We introduce a new three-stage approach that at first identifies promising subsets by employing data-mining techniques, then determines the stock weights in the subsets using mixed-binary linear programming, and finally evaluates the subsets based on cross validation. The best subset is returned as the tracking portfolio. Our approach outperforms state-of-the-art methods in terms of out-of-sample performance and running times.

Fetal programming and epigenetic mechanisms in arterial hypertension.

PURPOSE OF REVIEW To provide an overview of available evidence of the potential role of epigenetics in the pathogenesis of hypertension and vascular dysfunction. RECENT FINDINGS Arterial hypertension is a highly heritable condition. Surprisingly, however, genetic variants only explain a tiny fraction of the phenotypic variation and the term 'missing heritability' has been coined to describe this phenomenon. Recent evidence suggests that phenotypic alteration that is unrelated to changes in DNA sequence (thereby escaping detection by classic genetic methodology) offers a potential explanation. Here, we present some basic information on epigenetics and review recent work consistent with the hypothesis of epigenetically induced arterial hypertension. SUMMARY New technologies that enable the rigorous assessment of epigenetic changes and their phenotypic consequences may provide the basis for explaining the missing heritability of arterial hypertension and offer new possibilities for treatment and/or prevention.

SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization

SOMS is a general surrogate-based multistart algorithm, which is used in combination with any local optimizer to find global optima for computationally expensive functions with multiple local minima. SOMS differs from previous multistart methods in that a surrogate approximation is used by the multistart algorithm to help reduce the number of function evaluations necessary to identify the most promising points from which to start each nonlinear programming local search. SOMS’s numerical results are compared with four well-known methods, namely, Multi-Level Single Linkage (MLSL), MATLAB’s MultiStart, MATLAB’s GlobalSearch, and GLOBAL. In addition, we propose a class of wavy test functions that mimic the wavy nature of objective functions arising in many black-box simulations. Extensive comparisons of algorithms on the wavy testfunctions and on earlier standard global-optimization test functions are done for a total of 19 different test problems. The numerical results indicate that SOMS performs favorably in comparison to alternative methods and does especially well on wavy functions when the number of function evaluations allowed is limited.

Comparability of Outcome Frameworks in Medical Education: Implications for framework development

Background: The demand for international harmonization in medical education increases with the growing mobility of students and health professionals. Many medical societies and governmental offices have issued outcome frameworks (OF), which describe aims and contents of medical education based on competencies. These national standards affect the development of curricula as well as assessment and licensing procedures. Comparing OF and identifying factors that limit their comparability may thus foster international harmonization of medical education. Summary of Work: We conducted a systematic search for national OF in MedLine, EmBase and the internet. We included all OF in German or English that resulted from a national consensus process and were published or endorsed by a national society or governmental body. We extracted information in five predetermined categories: history of origin, audience, formal structure, medical schooling system and key terms. Summary of Results: Out of 1816 results, 13 OF were included into further analyses. OF reference each other, often without addressing existing differences (e.g. in target audiences). The two most cited OF are “CanMEDs” and “Scottish Doctor”. OF differ especially in their level of detail as well as in the underlying educational system. Discussion and Conclusions: Based on our results we propose a two-step blueprint for OF, that may help to establish comparability for internationally aligned key features – so-called “core competencies” – while at the same time allowing for necessary regional adaptations in terms of “secondary competencies”. Take-home messages: Considerable differences in at least five categories of OF currently hinder the comparability of outcome frameworks.