979 resultados para Machines à vecteurs de support


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AbstractOBJECTIVEAnalyze adolescents' perceptions about support networks and their health needs.METHODAnalytical and interpretive study using focus groups conducted in municipal state schools in Fortaleza, in the State of Ceará during the first semester of 2012. The sample comprised 36 male and female adolescents aged between 13 and 16 years attending the ninth grade of the second phase of elementary school.RESULTSThematic analysis revealed that the health care support network and interaction between health professionals, education professionals and family members was insufficient, constituting a lack of an integrated network to enable and provide support for health promotion.CONCLUSIONCoordination between education, health and family services has the potential to act as a support network to help meet adolescents' healthcare needs and demands.

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Calcium-dependent exocytosis of synaptic vesicles mediates the release of neurotransmitters. Important proteins in this process have been identified such as the SNAREs, synaptotagmins, complexins, Munc18 and Munc13. Structural and functional studies have yielded a wealth of information about the physiological role of these proteins. However, it has been surprisingly difficult to arrive at a unified picture of the molecular sequence of events from vesicle docking to calcium-triggered membrane fusion. Using mainly a biochemical and biophysical perspective, we briefly survey the molecular mechanisms in an attempt to functionally integrate the key proteins into the emerging picture of the neuronal fusion machine.

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BACKGROUND AND PURPOSE: MCI was recently subdivided into sd-aMCI, sd-fMCI, and md-aMCI. The current investigation aimed to discriminate between MCI subtypes by using DTI. MATERIALS AND METHODS: Sixty-six prospective participants were included: 18 with sd-aMCI, 13 with sd-fMCI, and 35 with md-aMCI. Statistics included group comparisons using TBSS and individual classification using SVMs. RESULTS: The group-level analysis revealed a decrease in FA in md-aMCI versus sd-aMCI in an extensive bilateral, right-dominant network, and a more pronounced reduction of FA in md-aMCI compared with sd-fMCI in right inferior fronto-occipital fasciculus and inferior longitudinal fasciculus. The comparison between sd-fMCI and sd-aMCI, as well as the analysis of the other diffusion parameters, yielded no significant group differences. The individual-level SVM analysis provided discrimination between the MCI subtypes with accuracies around 97%. The major limitation is the relatively small number of cases of MCI. CONCLUSIONS: Our data show that, at the group level, the md-aMCI subgroup has the most pronounced damage in white matter integrity. Individually, SVM analysis of white matter FA provided highly accurate classification of MCI subtypes.

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Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of large datasets from environmental monitoring networks. Several typical problems of the environmental sciences and their solutions provided by kernel-based methods are considered: classification of categorical data (soil type classification), mapping of environmental and pollution continuous information (pollution of soil by radionuclides), mapping with auxiliary information (climatic data from Aral Sea region). The promising developments, such as automatic emergency hot spot detection and monitoring network optimization are discussed as well.

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The aim of this essay is to deal with economic voting in contexts ofmultilevel governance and to be a contribution to the debate on attribution of responsibilities in popularity functions literature. We use aggregate and individual data from Catalonia in order to analyse the relation between the state of the economy and the support for a sub-state government. The empirical analysis shows that the responsibility hypothesis works in regional governments without explicit macroeconomic competencies. We have also considered the evaluations of government performance on certain specific policies in order to clarify and determine the factors that drive Catalan government support. The article considers the implications of the findings for future attempts to model party support in a context of the European Union.

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SUMMARY (Français au-dessous)After the Second World War, the role of the victim in criminal conflict became an objectof interest for academics. But it was only in the 1960s that the importance of providingprotection and assistance to crime victims was highlighted in particular by the victims'movement, which inaugurated a new era of criminal justice in systems throughout the world.Moving beyond just the role of controlling crime and punishing the offender, the criminaljustice system also began to contribute to the victims' rehabilitation and to help the victim tomove on from the event psychologically and emotionally.Although some criminological research has been conducted, to date the effect that thecriminal justice system and victim support services have on the well-being of crime victims isstill uncertain.The current study sought to understand better the healing process of victims of crime, thepotential consequences of their participation on the criminal justice system, and the supportof victim centers. Moreover, it aimed to find out whether the existence of a Victim SupportAct would change the treatment that the victim receives in the criminal justice system. Thusthis research was conducted based in two countries - Switzerland and Brazil - where theoutcome of the victims' movement on the criminal justice system was different, as was theparticipation of the victim in the criminal justice system and the government's provision ofsupport.In order to conduct this research we employed the qualitative method, which is the mostefficient to gather sensitive information. Interviews with crime victims were the main sourceof information. Hearing observation and document research were used as complementarysources.The results of this research show that victims who have contact with the criminal justicesystem and victim services are not more likely to recover than those who had no contact. Thisis to say, the support offered has no major effects; the influence of the criminal justice systemand the victim support services in the emotional well-being of crime victims is rather neutral.However, considering that the sample is not representative, findings are not expected to begeneralized. Instead, findings may give insight to practitioners or to future criminal justicepolicy makers, suggesting what may work to improve the emotional well-being of crimevictims, as well as suggesting further studies.________________________________________________________________________________RÉSUMÉAprès la deuxième guerre mondiale, le rôle de la victime est devenu un objet d'intérêtpour les académiciens. Par contre, c'est seulement dans les années 60 que l'importance defournir de la protection et de l'appui aux victimes d'infractions a été accentuée, en particulierpar un mouvement ― victims' mouvement ―, qui a inauguré un nouveau temps dans lajustice pénale des systèmes juridiques du monde entier. A part la fonction de contrôler lecrime et de punir le délinquant, le système de justice pénale joue également un rôle dans laréhabilitation des victimes.Malgré la réalisation de plusieurs recherches criminologiques sur ce sujet, les effets que lesystème de la justice pénale et les centres d'aides aux victimes ont sur le bien-être desvictimes d'infractions est encore incertain.Ainsi cette étude cherche à mieux comprendre le processus de réhabilitation des victimesd'infraction, les conséquences de leur participation dans le système de justice pénale ainsique la portée de l'appui des centres d'aide. De plus, l'étude vise à découvrir si l'existenced'une loi d'aide aux victimes, particulièrement la Loi d'Aide aux Victimes d'InfractionsLAVI, est susceptible de changer le traitement que la victime reçoit dans le système de lajustice pénale. Pour cela, elle a été conduite dans deux pays - la Suisse et le Brésil - où lesconséquences du mouvement des victimes sur le système de la justice pénale a eu undéveloppement différent; il en va de même pour la participation de la victime dans laprocédure pénale et pour l'appui offert par l'Etat.Cette étude utilise la méthode qualitative qui est la plus efficace pour le recueild'informations sensibles. La plus importante source des données sont les interviews avec lesvictimes. L'observation des audiences et l'analyse de documents ont été utilisés en tant quesources d'information complementáire.Les résultats de cette recherche montrent que les victimes qui ont porté plainte et qui ontreçu l'appui des centres d'aides ne sont pas mieux rétablies que celles qui n'ont rien fait. C'estainsi que nous avons conclu que les services offerts n'ont aucune influence dans ce processus.Cependant, considérant que notre échantillon n'est pas représentatif, il n'est pas possible degénéraliser nos résultats. Néanmoins, ceux-ci peuvent éclairer les praticiens ou les futursdécideurs politiques de la justice pénale, suggérant ce qui peut fonctionner pour lerétablissement des victimes d'infraction, aussi bien que suggérer d'autres études.

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The human primary auditory cortex (AI) is surrounded by several other auditory areas, which can be identified by cyto-, myelo- and chemoarchitectonic criteria. We report here on the pattern of calcium-binding protein immunoreactivity within these areas. The supratemporal regions of four normal human brains (eight hemispheres) were processed histologically, and serial sections were stained for parvalbumin, calretinin or calbindin. Each calcium-binding protein yielded a specific pattern of labelling, which differed between auditory areas. In AI, defined as area TC [see C. von Economo and L. Horn (1930) Z. Ges. Neurol. Psychiatr.,130, 678-757], parvalbumin labelling was dark in layer IV; several parvalbumin-positive multipolar neurons were distributed in layers III and IV. Calbindin yielded dark labelling in layers I-III and V; it revealed numerous multipolar and pyramidal neurons in layers II and III. Calretinin labelling was lighter than that of parvalbumin or calbindin in AI; calretinin-positive bipolar and bitufted neurons were present in supragranular layers. In non-primary auditory areas, the intensity of labelling tended to become progressively lighter while moving away from AI, with qualitative differences between the cytoarchitectonically defined areas. In analogy to non-human primates, our results suggest differences in intrinsic organization between auditory areas that are compatible with parallel and hierarchical processing of auditory information.

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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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Registering originative business contracts allows entrepreneurs and creditors to choose, andcourts to enforce market-friendly contract rules that protect innocent third parties whenadjudicating disputes on subsequent contracts. This reduces information asymmetry for thirdparties, which enhances impersonal trade. It does so without seriously weakening property rights,because it is rightholders who choose or activate the legal rules and can, therefore, minimize thecost of any possible weakening. Registries are essential not only to make the chosen rules publicbut to ensure rightholders commitment and avoid rule-gaming, because independent registriesmake rightholders choices verifiable by courts. The theory is supported by comparative andhistorical analyses.

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Body condition can affect coloration of traits used in sexual selection and parent-offspring communication by inducing rapid internal changes in pigment concentration or aggregation, thickness of collagen arrays, or blood flux. The recent "makeup hypothesis" proposes an alternative honesty-reinforcing mechanism, with behaviorally mediated deposition of substances on body surfaces ("cosmetics") generating covariation between body condition and coloration. In birds, the uropygial gland wax is actively spread on feathers using the bill and changes in its deposition rate may cause rapid changes in bill and plumage coloration. Using tawny owl nestlings, we tested 3 predictions of the makeup hypothesis, namely that 1) quantity of preen wax deposited accounts for variation in bill coloration, 2) an immune stimulation (induced by injection of a lipopolysaccharide [LPS]) impairs uropygial gland wax production, and 3) different intensities of immune stimulations (strong vs. weak stimulations induced by injections of either LPS or phytohemagglutinin [PHA], respectively) and high versus low food availabilities result in different bill colorations. We found that 1) preen wax reduced bill brightness, 2) a challenge with LPS impaired uropygial gland development, and 3) nestlings challenged with LPS had a brighter bill than PHA-injected nestlings, whereas diet manipulation had no significant effect. Altogether, these results suggest that a strong immune challenge may decrease preen wax deposition rate on the bill of nestling birds, at least by impairing gland wax production, which causes a change in bill coloration. Our study therefore highlights that cosmetic colors might signal short-term variation in immunological status.

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Distributional patterns of the Neotropical genus Thecomyia Perty (Diptera, Sciomyzidae) and phylogenetic support. The distributional pattern of the genus Thecomyia Perty, 1833 was defined using panbiogeographic tools, and analyzed based on the phylogeny of the group. This study sought to establish biogeographical homologies in the Neotropical region between different species of the genus, based on their distribution pattern and later corroboration through its phylogeny. Eight individual tracks and 16 generalized tracks were identified, established along nearly the entire swath of the Neotropics. Individual tracks are the basic units of a panbiogeographic study, and correspond to the hypothesis of minimum distribution of the organisms involved. The generalized tracks, obtained from the spatial congruence between two or more individual tracks, are important in the identification of smaller areas of endemism. Thus, we found evidence from the generalized tracks in support of previous classification for the Neotropical region. The Amazon domain is indicated as an area of outstanding importance in the diversification of the group, by the confluence of generalized tracks and biogeographic nodes in the region. Most of the generalized tracks and biogeographical nodes were congruent with the phylogenetic hypothesis of the genus, indicating support of the primary biogeographical homologies originally defined by the track analysis.

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L'objectiu principal del projecte és la creació d'una aplicació per a telèfons intel·ligents que intenti predir la volatilitat no atribuïble al mercat per tal de permetre a l'usuari crear portfolios òptims utilitzant tècniques d'intel·ligència artificial com són les Support Vector Machines (SVM). Una vegada s'hagi predit aquesta volatilitat es crearà un portfolio òptim amb el pes adequat de cada un dels valors, per tal d'obtenir una inversió amb el mínim risc possible.

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In recent years there has been an explosive growth in the development of adaptive and data driven methods. One of the efficient and data-driven approaches is based on statistical learning theory (Vapnik 1998). The theory is based on Structural Risk Minimisation (SRM) principle and has a solid statistical background. When applying SRM we are trying not only to reduce training error ? to fit the available data with a model, but also to reduce the complexity of the model and to reduce generalisation error. Many nonlinear learning procedures recently developed in neural networks and statistics can be understood and interpreted in terms of the structural risk minimisation inductive principle. A recent methodology based on SRM is called Support Vector Machines (SVM). At present SLT is still under intensive development and SVM find new areas of application (www.kernel-machines.org). SVM develop robust and non linear data models with excellent generalisation abilities that is very important both for monitoring and forecasting. SVM are extremely good when input space is high dimensional and training data set i not big enough to develop corresponding nonlinear model. Moreover, SVM use only support vectors to derive decision boundaries. It opens a way to sampling optimization, estimation of noise in data, quantification of data redundancy etc. Presentation of SVM for spatially distributed data is given in (Kanevski and Maignan 2004).