Optimization of snowmaking in high mountains ski resort

Ski resorts are deploying more and more systems of artificial snow. These tools are necessary to ensure an important economic activity for the high alpine valleys. However, artificial snow raises important environmental issues that can be reduced by an optimization of its production. This paper presents a software prototype based on artificial intelligence to help ski resorts better manage their snowpack. It combines on one hand a General Neural Network for the analysis of the snow cover and the spatial prediction, with on the other hand a multiagent simulation of skiers for the analysis of the spatial impact of ski practice. The prototype has been tested on the ski resort of Verbier (Switzerland).

Etude de mentions manuscrites apposées dans des conditions non conventionnelles (dans le cadre des articles 322-1 à 322-4 du nouveau code pénal français)

Résumé Les experts forensiques en documents peuvent être confrontés à des écritures réalisées en conditions non conventionnelles. Ces circonstances atypiques pourraient être à l'origine d'une plus grande variabilité de la forme de l'écriture, en particulier lorsque des positions à priori inhabituelles du corps et / ou du support sont impliquées. En effet, en dépit de son aspect stéréotypé /standardisé évident, résultat d'un apprentissage par un modèle, notre écriture est caractérisée par une variabilité intrinsèque de la forme, qui évolue au cours du temps et qui, dans sa dimension qualitative, confère à l'écriture son caractère individuel. En d'autres termes, nous n'écrivons jamais deux fois de la même façon. Cette variabilité intraindividuelle (ou intra-variabilité) observée en condition conventionnelle, c'est-à-dire assis devant un support horizontal, pourrait augmenter en conditions non conventionnelles, par exemple dans une position inconfortable. Cela pourrait rendre plus difficile l'identification d'écrits apposés dans une condition non conventionnelle ou inconnue. Ne pas connaître les circonstances d'apposition d'une mention manuscrite ou ne pas s'interroger sur ces dernières, pourrait conduire l'expert à faire des erreurs d'appréciation. Et le simple fait d'étudier une trace sur laquelle le corps peut exercer une influence fait de l'expertise en écriture une spécialité qui se distingue des autres disciplines forensiques. En cela, la trace écrite diffère des autres types de traces "inanimées" (physiques, chimiques, bigchimiques) considérées comme invariables (mais potentiellement sensibles à d'autres phénomènes tels que la température, la pression atmosphérique...). En effet, le mouvement d'écriture étant commandé et contrôlé par le cerveau, cela lui confère une certaine variabilité. Il est donc assez logique de penser que la connaissance des mécanismes neuroscientifiques à l'origine de ce mouvement facilitera la compréhension des phénomènes observés d'un point de vue forensique. Deux expériences ont été menées afin de comparer les performances de sujets écrivant dans différentes conditions (conventionnelle vs. non conventionnelles). Les résultats ont montré que cinq des sept conditions non conventionnelles n'avaient pas d'impact significatif sur la variabilité d'écriture. L'ensemble des résultats fournit aux experts forensiques des pistes leur permettant de mieux appréhender les écritures rédigées dans des conditions inhabituelles.

Agreed upon procedures report on the Department of Human Services' compliance with Chapter 249J.22 of the Code of Iowa for the year ended June 30, 2012

Agreed upon procedures report on the Department of Human Services' compliance with Chapter 249J.22 of the Code of Iowa for the year ended June 30, 2012

Report of the Code Commission : to accompany the code as reported to the Twenty-sixth General Assembly of Iowa, in accordance with the provisions of chapter one hundred and fifteen of the acts of the Twenty-fifth General Assembly,1895.

This is the Report of the Code Commissioners to the Twenty-fifth General Assembly of the State of Iowa

How Much Does It Cost? Optimization of Costs in Sequence Analysis of Social Science Data

One major methodological problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this problem is currently not optimally dealt with in the social sciences, it has some similarity with problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification problem of cost schemes.

Jaundice-Should "yellow" be a red code?

Objective: Jaundice is the clinical manifestation, of hyperbilirubinemia. It is considered as a sign of either a liver disease or, less often, of a hemolytic disorder. It can be divided into obstructive and non obstructive type, involving increase of indirect (non-conjugated) bilirubin or increase of direct (conjugated) bilirubin, respectively, but it can be also manifested as mixed type. Methods: This article updates the current knoweledge concerning the jaundice's etiology, pathophysiological mechanisms, and complications ant treatment by reviewing of the latest medical literature. It also presents an approach of jaundice's treatment and pathogenesis, in special populations as in neonates and pregnant women. Results: The treatment is consistent in the management of the subjective diseases responsible for the jaundice and its complications.The clinical prognosis of the jaundice depends on the etiology. Surgical treatment of jaundiced patients is associated with high mortality and morbidity rates. Studies have shown that the severity of jaundice and the presence of malignant disease are importan risk factors for post-operative mortality. Conclusions: Early detection of jaundice is of vital importance because of its involvement in malignancy or in other benign conditions requiring immediate treatment in order to avoid further complications.

Ecological-economic optimization of biodiversity conservation under climate change

Substantial investment in climate change research has led to dire predictions of the impacts and risks to biodiversity. The Intergovernmental Panel on Climate Change fourth assessment report(1) cites 28,586 studies demonstrating significant biological changes in terrestrial systems(2). Already high extinction rates, driven primarily by habitat loss, are predicted to increase under climate change(3-6). Yet there is little specific advice or precedent in the literature to guide climate adaptation investment for conserving biodiversity within realistic economic constraints(7). Here we present a systematic ecological and economic analysis of a climate adaptation problem in one of the world's most species-rich and threatened ecosystems: the South African fynbos. We discover a counterintuitive optimal investment strategy that switches twice between options as the available adaptation budget increases. We demonstrate that optimal investment is nonlinearly dependent on available resources, making the choice of how much to invest as important as determining where to invest and what actions to take. Our study emphasizes the importance of a sound analytical framework for prioritizing adaptation investments(4). Integrating ecological predictions in an economic decision framework will help support complex choices between adaptation options under severe uncertainty. Our prioritization method can be applied at any scale to minimize species loss and to evaluate the robustness of decisions to uncertainty about key assumptions.