75 resultados para Electronic Gaming Machines


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Monitoring of posture allocations and activities enables accurate estimation of energy expenditure and may aid in obesity prevention and treatment. At present, accurate devices rely on multiple sensors distributed on the body and thus may be too obtrusive for everyday use. This paper presents a novel wearable sensor, which is capable of very accurate recognition of common postures and activities. The patterns of heel acceleration and plantar pressure uniquely characterize postures and typical activities while requiring minimal preprocessing and no feature extraction. The shoe sensor was tested in nine adults performing sitting and standing postures and while walking, running, stair ascent/descent and cycling. Support vector machines (SVMs) were used for classification. A fourfold validation of a six-class subject-independent group model showed 95.2% average accuracy of posture/activity classification on full sensor set and over 98% on optimized sensor set. Using a combination of acceleration/pressure also enabled a pronounced reduction of the sampling frequency (25 to 1 Hz) without significant loss of accuracy (98% versus 93%). Subjects had shoe sizes (US) M9.5-11 and W7-9 and body mass index from 18.1 to 39.4 kg/m2 and thus suggesting that the device can be used by individuals with varying anthropometric characteristics.

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The present study aims to analyze attitudes and beliefs of the French-speaking general Swiss population (n = 2500; female n = 1280; mean age = 43 years) as regards gambling, which are to date almost exclusively studied in the North American and Australian contexts. Beliefs related to gambling include the perception of the effectiveness of preventive measures toward gambling, the comparative risk assessment of different addictive behaviors, the perceived risks of different types of gambling and attitudes are related to the gambler's personality. The general population perceived gambling rather negatively and was conscious of the potential risks of gambling; indeed, 59.0% of the sample identified gambling as an addictive practice. Slot machines were estimated to bear the highest risk. Compared with women and older people, men and young people indicated more positive beliefs about gambling; they perceived gambling as less addictive, supported structural preventive measures less often, and perceived gambling as a less serious problem for society. Gamblers were more likely to put their practices into perspective, perceiving gambling more positively than non-gamblers. General population surveys on such beliefs can deliver insights into preventive actions that should be targeted to young men who showed more favorable views of gambling, which have been shown to be associated with increased risk for problematic gambling.

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The paper proposes an approach aimed at detecting optimal model parameter combinations to achieve the most representative description of uncertainty in the model performance. A classification problem is posed to find the regions of good fitting models according to the values of a cost function. Support Vector Machine (SVM) classification in the parameter space is applied to decide if a forward model simulation is to be computed for a particular generated model. SVM is particularly designed to tackle classification problems in high-dimensional space in a non-parametric and non-linear way. SVM decision boundaries determine the regions that are subject to the largest uncertainty in the cost function classification, and, therefore, provide guidelines for further iterative exploration of the model space. The proposed approach is illustrated by a synthetic example of fluid flow through porous media, which features highly variable response due to the parameter values' combination.

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To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of support vector machines to MRI for detection of a variety of disease states. The aims of this study were to assess how successfully support vector machines assigned individual diagnoses and to determine whether data-sets combined from multiple scanners and different centres could be used to obtain effective classification of scans. We used linear support vector machines to classify the grey matter segment of T1-weighted MR scans from pathologically proven AD patients and cognitively normal elderly individuals obtained from two centres with different scanning equipment. Because the clinical diagnosis of mild AD is difficult we also tested the ability of support vector machines to differentiate control scans from patients without post-mortem confirmation. Finally we sought to use these methods to differentiate scans between patients suffering from AD from those with frontotemporal lobar degeneration. Up to 96% of pathologically verified AD patients were correctly classified using whole brain images. Data from different centres were successfully combined achieving comparable results from the separate analyses. Importantly, data from one centre could be used to train a support vector machine to accurately differentiate AD and normal ageing scans obtained from another centre with different subjects and different scanner equipment. Patients with mild, clinically probable AD and age/sex matched controls were correctly separated in 89% of cases which is compatible with published diagnosis rates in the best clinical centres. This method correctly assigned 89% of patients with post-mortem confirmed diagnosis of either AD or frontotemporal lobar degeneration to their respective group. Our study leads to three conclusions: Firstly, support vector machines successfully separate patients with AD from healthy aging subjects. Secondly, they perform well in the differential diagnosis of two different forms of dementia. Thirdly, the method is robust and can be generalized across different centres. This suggests an important role for computer based diagnostic image analysis for clinical practice.

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BACKGROUND: With the large amount of biological data that is currently publicly available, many investigators combine multiple data sets to increase the sample size and potentially also the power of their analyses. However, technical differences ("batch effects") as well as differences in sample composition between the data sets may significantly affect the ability to draw generalizable conclusions from such studies. FOCUS: The current study focuses on the construction of classifiers, and the use of cross-validation to estimate their performance. In particular, we investigate the impact of batch effects and differences in sample composition between batches on the accuracy of the classification performance estimate obtained via cross-validation. The focus on estimation bias is a main difference compared to previous studies, which have mostly focused on the predictive performance and how it relates to the presence of batch effects. DATA: We work on simulated data sets. To have realistic intensity distributions, we use real gene expression data as the basis for our simulation. Random samples from this expression matrix are selected and assigned to group 1 (e.g., 'control') or group 2 (e.g., 'treated'). We introduce batch effects and select some features to be differentially expressed between the two groups. We consider several scenarios for our study, most importantly different levels of confounding between groups and batch effects. METHODS: We focus on well-known classifiers: logistic regression, Support Vector Machines (SVM), k-nearest neighbors (kNN) and Random Forests (RF). Feature selection is performed with the Wilcoxon test or the lasso. Parameter tuning and feature selection, as well as the estimation of the prediction performance of each classifier, is performed within a nested cross-validation scheme. The estimated classification performance is then compared to what is obtained when applying the classifier to independent data.

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Introduction and objectives: The AMS 800TM is considered the gold standard for sphincter replacement. However, the one-ring design can erode the urethra and lead to severe complications. A mechanism that could alternatively compress successive segments of the urethra would limit such deleterious outcome. We report 12 weeks animal urethral tissue analysis following implantation of a new modular artificial sphincter. METHODS: The device is composed by three parts: the contractile unit, two rings and an integrated microprocessor. The contractile unit is made of Nitinol fibers. The rings are placed around the urethra to control the flow of urine by squeezing the urethra. They work in a sequential alternative mode and are controlled by a microprocessor connected to an external computer. The computer can reveal specific failure of device components. The device was impkanted in eight male sheep. The rings were positioned around the urethra and the control unit was placed 5cm away. The device was working twenty hours per day; it was open 10min. per hour to allow urination. The animals were sacrificed after 12 weeks. The urethra and the tissues surrounding the control unit were macroscopically and microscopically examined. Two transversal sections crossing the sphincter and two transversal sections crossing the urethra alone were obtained and stained with modified Paragon after resin embedding. Urethra was also embedded in paraffin. The first section was stained with safranin-hematoxylin-eosin, the second section was stained with Masson's Trichrome and the remaining eight sections were available for immunolabelling of the macrophages.Results: The chronic study went uneventful. No clinical infection or pain was observed. The computer registered no specific failure in ring function, Nitinol wires and tube connectors. At explantation, except for a slight grade of lymphocytes in two out of eight specimens, no urethral stricture or atrophy could be observed. Immunohistochemistry confirmed the absence of macrophages. Tissue structure and organization of the urethra with and without artificial sphincter were similar. No migration of the device was observed.Conclusions: The study clearly showed no tissue damage or inflammation of the urethra. Electronic design, preservation of urethral vascularisation and adjustability after implantation are the key ideas to improve the actual AUS. Further studies will be carried out to evaluate this potential.

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Résumé Cette recherche analyse les transformations de la gouvernance d'entreprise et des relations industrielles entre 1970 et 2008 dans le contexte suisse, en mettant l'accent sur les changements survenus depuis les années 1990. Elle se centre sur le secteur de l'industrie des machines, de l'électrotechnique et de la métallurgie -noyau historique du capitalisme helvétique et principal employeur et exportateur industriel du pays - et discute l'hypothèse de la convergence des économies coordonnées vers le modèle libéral. Elle examine d'abord les formes de coordination hors-marché qui se sont consolidées entre les élites économiques suisses au cours de la période d'après-guerre. Les stratégies d'innovation incrémentale des grandes sociétés étaient soutenues par une gouvernance marquée par la faible pression des marchés des capitaux, en raison notamment de la forte concentration de l'actionnariat, de mécanismes protectionnistes en matière d'accès au contrôle des sociétés, ainsi que d'une grande interdépendance entre banques et entreprises. Cette interdépendance apparaît dans la forte densité du réseau d'interconnexions des Conseils d'administration, où les principales banques tiennent une place centrale. Le réseau met également en relation les sociétés du secteur entre elles, ainsi qu'avec des firmes actives sur d'autres marchés, ce qui témoigne de l'irréductibilité des stratégies industrielles à une pure logique de compétition centrée sur les marchés. Les stratégies à long terme du management peuvent également s'appuyer sur un système pacifié de relations industrielles, caractérisé par l'autorégulation des acteurs privés dans le cadre d'un partenariat social de branche entre des associations aux stratégies modérées, « néocorporatistes ». Nous analysons alors l'impact de la libéralisation et de la financiarisation de l'économie suisse sur la coordination des élites économiques durant les années 1990. Nous montrons que l'affirmation des fonds d'investissement a déstabilisé le système traditionnel de gouvernance d'entreprise. Ce dernier a ainsi été marqué par l'émergence d'un marché pour le contrôle de l'entreprise -fin du «capital patient » -, la dissolution de l'interdépendance entre banques et industries et plus globalement des formes de coordination hors-marché reposant sur le réseau d'interconnexions des Conseils d'administration, ainsi que par de profondes restructurations des grandes sociétés orientées vers la création de richesse pour les actionnaires. La recherche explore alors les logiques d'interactions entre la sphère de la gouvernance d'entreprise et celle des relations industrielles, l'affirmation du capital financier faisant pression sur le partenariat social dans le sens d'une flexibilisation et déréglementation du marché du travail. Par ailleurs, nous mettons en perspective le rôle central des élites dans le changement institutionnel. Loin de subir la pression des actionnaires, les préférences d'une nouvelle élite managériale au profil financier ont convergé avec les intérêts des investisseurs dans le processus de financiarisation. Ces préférences ont également participé à l'érosion du partenariat social de branche. Du côté syndical, l'émergence -ici aussi - d'une nouvelle élite, académique et issue de la gauche politique, au cours des années 1990, a remis en cause les recettes de l'ancienne génération de syndicalistes ouvriers. La principale association du secteur a ainsi diversifié ses registres d'action en investissant la sphère politique et en relativisant la paix absolue du travail, deux stratégies activement rejetées par le syndicat au cours du régime de croissance d'après-guerre. Tout en mettant la sociologie des élites au service d'une meilleure compréhension des processus de changement institutionnel dans les capitalismes contemporains, cette recherche souligne des logiques de changement différentes dans les sphères sous revue :changement disruptif dans la gouvernance d'entreprise, incrémentai dans les relations industrielles. L'analyse s'est appuyée sur le croisement de différentes méthodes : analyse documentaire, entretiens semi-directifs, analyse du parcours et profil des élites, analyse de réseau, études de cas.