867 resultados para SOCIAL NETWORK ANALYSIS
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This paper presents the platform developed in the PANACEA project, a distributed factory that automates the stages involved in the acquisition, production, updating and maintenance of Language Resources required by Machine Translation and other Language Technologies. We adopt a set of tools that have been successfully used in the Bioinformatics field, they are adapted to the needs of our field and used to deploy web services, which can be combined to build more complex processing chains (workflows). This paper describes the platform and its different components (web services, registry, workflows, social network and interoperability). We demonstrate the scalability of the platform by carrying out a set of massive data experiments. Finally, a validation of the platform across a set of required criteria proves its usability for different types of users (non-technical users and providers).
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Until the 1990's, Switzerland could be classified as either a corporatist, cooperative or coordinated market economy where non-market mechanisms of coordination among economic and political actors were very important. In this respect, Business Interest Associations (BIAs) played a key role. The aim of this paper is to look at the historical evolution of the five main peak Swiss BIAs through network analysis for five assorted dates during the 20th century (1910, 1937, 1957, 1980 and 2000) while relying on a database that includes more than 12,000 people. First, we examine the logic of membership in these associations, which allows us to analyze their position and function within the network of the Swiss economic elite. Until the 1980's, BIAs took part in the emergence and consolidation of a closely meshed national network, which declined during the two last decades of the 20th century. Second, we investigate the logic of influence of these associations by looking at the links they maintained with the political and administrative worlds through their links to the political parties and Parliament, and to the administration via the extra-parliamentary commissions (corporatist bodies). In both cases, the recent dynamic of globalization called into question the traditional role of BIAs.
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Main developmental programs are highly conserved among species of the animal kingdom. Improper execution of these programs often leads to progression of various diseases and disorders. Here we focused on Drosophila wing tissue morphogenesis, a fairly complex developmental program, one of the steps of which - apposition of the dorsal and ventral wing sheets during metamorphosis - is mediated by integrins. Disruption of this apposition leads to wing blistering which serves as an easily screenable phenotype for components regulating this process. By means of RNAi-silencing technique and the blister phenotype as readout, we identify numerous novel proteins potentially involved in wing sheet adhesion. Remarkably, our results reveal not only participants of the integrin-mediated machinery, but also components of other cellular processes, e.g. cell cycle, RNA splicing, and vesicular trafficking. With the use of bioinformatics tools, these data are assembled into a large blisterome network. Analysis of human orthologues of the Drosophila blisterome components shows that many disease-related genes may contribute to cell adhesion implementation, providing hints on possible mechanisms of these human pathologies.
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Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature systems and storage formats. In particular, there is an important need for data unification in the study and use of protein-protein interactions. Without good integration strategies, it is difficult to analyze the whole set of available data and its properties.Results: We introduce BIANA (Biologic Interactions and Network Analysis), a tool for biological information integration and network management. BIANA is a Python framework designed to achieve two major goals: i) the integration of multiple sources of biological information, including biological entities and their relationships, and ii) the management of biological information as a network where entities are nodes and relationships are edges. Moreover, BIANA uses properties of proteins and genes to infer latent biomolecular relationships by transferring edges to entities sharing similar properties. BIANA is also provided as a plugin for Cytoscape, which allows users to visualize and interactively manage the data. A web interface to BIANA providing basic functionalities is also available. The software can be downloaded under GNU GPL license from http://sbi.imim.es/web/BIANA.php.Conclusions: BIANA's approach to data unification solves many of the nomenclature issues common to systems dealing with biological data. BIANA can easily be extended to handle new specific data repositories and new specific data types. The unification protocol allows BIANA to be a flexible tool suitable for different user requirements: non-expert users can use a suggested unification protocol while expert users can define their own specific unification rules.
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INTRODUCTION: Interindividual variations in regional structural properties covary across the brain, thus forming networks that change as a result of aging and accompanying neurological conditions. The alterations of superficial white matter (SWM) in Alzheimer's disease (AD) are of special interest, since they follow the AD-specific pattern characterized by the strongest neurodegeneration of the medial temporal lobe and association cortices. METHODS: Here, we present an SWM network analysis in comparison with SWM topography based on the myelin content quantified with magnetization transfer ratio (MTR) for 39 areas in each hemisphere in 15 AD patients and 15 controls. The networks are represented by graphs, in which nodes correspond to the areas, and edges denote statistical associations between them. RESULTS: In both groups, the networks were characterized by asymmetrically distributed edges (predominantly in the left hemisphere). The AD-related differences were also leftward. The edges lost due to AD tended to connect nodes in the temporal lobe to other lobes or nodes within or between the latter lobes. The newly gained edges were mostly confined to the temporal and paralimbic regions, which manifest demyelination of SWM already in mild AD. CONCLUSION: This pattern suggests that the AD pathological process coordinates SWM demyelination in the temporal and paralimbic regions, but not elsewhere. A comparison of the MTR maps with MTR-based networks shows that although, in general, the changes in network architecture in AD recapitulate the topography of (de)myelination, some aspects of structural covariance (including the interhemispheric asymmetry of networks) have no immediate reflection in the myelination pattern.
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Conservation of mayflies (Insecta, Ephemeroptera) in Espírito Santo, southeastern Brazil. Ephemeroptera exhibits great diversity among bodies of freshwater in the Atlantic Forest, a biome that is suffering from massive human impact. Within this context, the creation of conservation units using biological information is more recommended than economic, cultural, or political criteria. The distribution pattern of 76 Ephemeroptera species was analyzed using the biogeographical methods Parsimony Analysis of Endemicity and Network Analysis Method in order to infer relevant areas for conservation of the mayfly community in Espírito Santo. The results obtained from both analyses were largely congruent, and pointed out four relevant areas for conservation: two in the south of the state, where conservation units or priority areas for conservation are well established; and two in the north, a region in the state where little conservation efforts have been historically done. Therefore, based on our analyses on mayflies, we recommend the expansion of the existing APCs or the creation of new APCs on the north of Espírito Santo.
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El projecte proposa un sistema d’entrenament per l’escalada, donant noves solucions adaptades a les noves tendències socials i de mercat. La millora en la comunicació usuari-producte i el seguiment del progrés en l’entrenament són les bases d’aquest projecte, entorn a les quals giren totes les solucions plantejades. Donat l’increment exponencial dels usuaris de sales d’entrenament i aficionats a l’escalada en els últims deu anys, on m’incloc, aquest projecte pretén donar una nova visió més real de l’entrenament, plantejant un producte versàtil i canviant, el qual s’adequa a les necessitats concretes de cada usuari, a l’hora que proposa diferents muntatges segons les possibilitats de l’espai d’instal·lació. L’interès personal per l’escalada i l’experiència durants els últims anys en sales d’entrenament m’han fet plantejar-me la funció de diferents elements dins d’aquests espais. L’ús de noves tecnologies i de sistemes de programació específics donen a l’usuari l’oportunitat d’endinsar-se en tota una experiència diferent d’entrenament, on pot dissenyar el seu propi pla, tenir un seguiment estadístic de la seva evolució i ser partícip d’una xarxa social de contactes, recomanacions, actualitzacions d’exercicis i plantejament de nous reptes. Naixent les sales d’entrenament a la dècada dels seixanta, avui dia són més de 40 les empreses dedicades a la producció i fabricació de material per elles. Només un 11% inverteixen en innovació i disseny i, tot i així, els resultats, en la majoria dels casos, no es desmarquen gaire d’allò que ja existeix. Amb aquest projecte es vol obrir un nou paradigma en el sector, donar la volta a allò existent i mostrar que fent un bon estudi de necessitats es poden plantejar solucions molt més reals, adaptables i personalitzables.
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The human behavior is giving the entire picture of a person. The behavior is based on a complex combination of personal innate factors, experience and education and the social network within which the individual is integrated. Each moment the complex individual factors face external and internal environmental aspects which in turn, generate proactive and retroactive reactions. The adoption process is an important and challenging social experiment, bringing to the adopted child a new affiliation, social network, experiences and educational standards. This comes in his/her life after the trauma of losing his biological affiliation and social and emotional support. Which are the significant characteristics of the adopted child's behavior? Which are the behavioral characteristics of the adoptive child that guarantee the success of the domestic adoptions in Romania? These are the questions we are going to answer here based on the research done within FISAN(6) project. The 32 children, 11-16 years old, adopted by Romanian families, during the early ages (0-4 years), were evaluated with complex evaluation tools for children and parents. The adoptive families participating in the research live in the Western counties of Romania.Successful adoption is defined as secure attachment of the adopted child. The conclusions emphasize the importance of: the pro-social behavior, the loving behavior showed to the parents, the assertive behavior, the differentiations between parents and people outside the family, and between the two parents, and the humor. These behaviors displayed by the adopted children are the ingredients of a successful integration within the adoptive family.
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El objetivo principal de este trabajo es determinar si las comunidades virtuales de práctica son un espacio adecuado para la autoformación de los docentes. Con este fin, primero se especifican algunos conceptos clave que ayuden a contextualizar el tema de la formación; en segundo lugar se recogen los rasgos que se consideran hoy necesarios para llevar a cabo la labor docente, dibujándose así el perfil “ideal” del profesor en el contexto actual desde distintos ángulos de vista; y por último, se narran algunas experiencias personales en las redes sociales para ilustrar el funcionamiento de este nuevo paradigma social.
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Des équipes mobiles de psychiatrie ont été développées dans les trois âges pour répondre aux besoins de personnes qui devraient bénéficier d'une évaluation ou de soins spécialisés, lorsque ceux-ci doivent avoir lieu à domicile. Pour arriver à ce but, les équipes tissent de forts liens de partenariat dans le réseau, que ce soit avec les proches ou avec les professionnels impliqués. Les principes généraux d'intervention sont semblables entre les âges : une population cible définie, une intervention à domicile au bénéfice également des proches et des soins de proximité, des équipes pluridisciplinaires avec une charge de cas limitée pour garantir leur disponibilité. Les spécificités de chaque âge seront analysées. Mobile teams have been developed for the three ages to meet the needs of people who should receive--but do not access to--a psychiatric assessment or to specialized care. To achieve this goal, the teams built a strong partnership within the social network, both with relatives and professionals involved. The general principles of intervention are similar between the ages: a focused target population, assertive outreach which benefits also relatives and carers, multidisciplinary teams with a limited caseload to ensure availability. The specificities of each age will be analyzed
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Nuclear orphan receptor TLX (NR2E1) functions primarily as a transcriptional repressor and its pivotal role in brain development, glioblastoma, mental retardation and retinopathologies make it an attractive drug target. TLX is expressed in the neural stem cells (NSCs) of the subventricular zone and the hippocampus subgranular zone, regions with persistent neurogenesis in the adult brain, and functions as an essential regulator of NSCs maintenance and self-renewal. Little is known about the TLX social network of interactors and only few TLX coregulators are described. To identify and characterize novel TLX-binders and possible coregulators, we performed yeast-two-hybrid (Y2H) screens of a human adult brain cDNA library using different TLX constructs as baits. Our screens identified multiple clones of Atrophin-1 (ATN1), a previously described TLX interactor. In addition, we identified an interaction with the oncoprotein and zinc finger transcription factor BCL11A (CTIP1/Evi9), a key player in the hematopoietic system and in major blood-related malignancies. This interaction was validated by expression and coimmunoprecipitation in human cells. BCL11A potentiated the transrepressive function of TLX in an in vitro reporter gene assay. Our work suggests that BCL11A is a novel TLX coregulator that might be involved in TLX-dependent gene regulation in the brain.
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Ce travail porte sur le développement des compétences sociales et des cercles sociaux à l'adolescence. Il s'intéresse plus particulièrement à l'effet au cours du temps que peuvent avoir les nouveaux moyens de communication électronique (MCE) sur ces deux aspects de la socialisation. Trois parties principales se dégagent de ce travail. La première partie présente le développement d'un outil multidimensionnel destiné à l'évaluation des compétences sociales et permettant de les distinguer en fonction du contexte d'interaction (online vs. offline). La seconde partie porte sur la comparaison des compétences sociales et de la taille du cercle social de 329 adolescents de 7e et de 8e année primaire, en fonction de leur utilisation, ou non, des MCE. Elle met en évidence que ces deux aspects diffèrent de manière statistiquement significative entre les deux groupes, en faveur des utilisateurs de MCE. La troisième partie se centre sur l'utilisation de différents MCE et sur les effets différentiels qu'ils peuvent avoir au cours du temps sur ces deux aspects de la socialisation. Les analyses des données longitudinales mettent en évidence que l'utilisation de sites de réseaux sociaux (SRS) est particulièrement susceptible d'améliorer les compétences sociales et d'augmenter la taille du cercle social. Un modèle dans lequel les compétences sociales jouent un rôle de médiateur entre l'utilisation de SRS et la taille du cercle social est finalement postulé. - This work's topic concerns the development of social skills and social network size during adolescence. It examines more particularly the effects that new online communication media (OCM) may have on these two aspects of adolescent socialization. It is subdivided in three distinct parts. The first part presents the development of a multidimensional tool designed to assess social skills in two different contexts of interaction (online vs. offline). The second part compares the social skills and social network size of 329 adolescents depending on their use, or not, of OCM. It highlights significant differences on these two aspects between users and non-users, in favor of OCM users. The third part focuses on the differential effects that six OCM may have over time on these two aspects of socialization. Longitudinal data analyses highlight that the use of social network sites (SNS) is particularly likely to improve social skills and to increase social network size. A model in which social skills mediate the relationship between SNS use and social network size is finally postulated.
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Résumé La théorie de l'autocatégorisation est une théorie de psychologie sociale qui porte sur la relation entre l'individu et le groupe. Elle explique le comportement de groupe par la conception de soi et des autres en tant que membres de catégories sociales, et par l'attribution aux individus des caractéristiques prototypiques de ces catégories. Il s'agit donc d'une théorie de l'individu qui est censée expliquer des phénomènes collectifs. Les situations dans lesquelles un grand nombre d'individus interagissent de manière non triviale génèrent typiquement des comportements collectifs complexes qui sont difficiles à prévoir sur la base des comportements individuels. La simulation informatique de tels systèmes est un moyen fiable d'explorer de manière systématique la dynamique du comportement collectif en fonction des spécifications individuelles. Dans cette thèse, nous présentons un modèle formel d'une partie de la théorie de l'autocatégorisation appelée principe du métacontraste. À partir de la distribution d'un ensemble d'individus sur une ou plusieurs dimensions comparatives, le modèle génère les catégories et les prototypes associés. Nous montrons que le modèle se comporte de manière cohérente par rapport à la théorie et est capable de répliquer des données expérimentales concernant divers phénomènes de groupe, dont par exemple la polarisation. De plus, il permet de décrire systématiquement les prédictions de la théorie dont il dérive, notamment dans des situations nouvelles. Au niveau collectif, plusieurs dynamiques peuvent être observées, dont la convergence vers le consensus, vers une fragmentation ou vers l'émergence d'attitudes extrêmes. Nous étudions également l'effet du réseau social sur la dynamique et montrons qu'à l'exception de la vitesse de convergence, qui augmente lorsque les distances moyennes du réseau diminuent, les types de convergences dépendent peu du réseau choisi. Nous constatons d'autre part que les individus qui se situent à la frontière des groupes (dans le réseau social ou spatialement) ont une influence déterminante sur l'issue de la dynamique. Le modèle peut par ailleurs être utilisé comme un algorithme de classification automatique. Il identifie des prototypes autour desquels sont construits des groupes. Les prototypes sont positionnés de sorte à accentuer les caractéristiques typiques des groupes, et ne sont pas forcément centraux. Enfin, si l'on considère l'ensemble des pixels d'une image comme des individus dans un espace de couleur tridimensionnel, le modèle fournit un filtre qui permet d'atténuer du bruit, d'aider à la détection d'objets et de simuler des biais de perception comme l'induction chromatique. Abstract Self-categorization theory is a social psychology theory dealing with the relation between the individual and the group. It explains group behaviour through self- and others' conception as members of social categories, and through the attribution of the proto-typical categories' characteristics to the individuals. Hence, it is a theory of the individual that intends to explain collective phenomena. Situations involving a large number of non-trivially interacting individuals typically generate complex collective behaviours, which are difficult to anticipate on the basis of individual behaviour. Computer simulation of such systems is a reliable way of systematically exploring the dynamics of the collective behaviour depending on individual specifications. In this thesis, we present a formal model of a part of self-categorization theory named metacontrast principle. Given the distribution of a set of individuals on one or several comparison dimensions, the model generates categories and their associated prototypes. We show that the model behaves coherently with respect to the theory and is able to replicate experimental data concerning various group phenomena, for example polarization. Moreover, it allows to systematically describe the predictions of the theory from which it is derived, specially in unencountered situations. At the collective level, several dynamics can be observed, among which convergence towards consensus, towards frag-mentation or towards the emergence of extreme attitudes. We also study the effect of the social network on the dynamics and show that, except for the convergence speed which raises as the mean distances on the network decrease, the observed convergence types do not depend much on the chosen network. We further note that individuals located at the border of the groups (whether in the social network or spatially) have a decisive influence on the dynamics' issue. In addition, the model can be used as an automatic classification algorithm. It identifies prototypes around which groups are built. Prototypes are positioned such as to accentuate groups' typical characteristics and are not necessarily central. Finally, if we consider the set of pixels of an image as individuals in a three-dimensional color space, the model provides a filter that allows to lessen noise, to help detecting objects and to simulate perception biases such as chromatic induction.
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Psychotic patients to not access easily to psychiatric care. First, psychotic disorders are difficult to identify among a great number of non psychotic depressive and anxious disorders. Second, inpatient care has shortened and now focus on acute care rather than long stay. For some psychotic patients, desinstitutionalization means exclusion and marginalization. Intensive case management can answer these needs in collaboration with relatives and professionals of patient's social network. Results and care's steps of intensive case management as practiced in Lausanne are described and illustrated with cases vignettes.
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Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/