Submitted by Marco Antonio Oliveira da Silva (maosilva@ipen.br) on 2016-08-25T18:15:44Z No. of bitstreams: 0 / Made available in DSpace on 2016-08-25T18:15:44Z (GMT). No. of bitstreams: 0 / Com o escopo de fornecer subsídios para compreender como o processo de colaboração científica ocorre e se desenvolve em uma instituição de pesquisas, particularmente o IPEN, o trabalho utilizou duas abordagens metodológicas. A primeira utilizou a técnica de análise de redes sociais (ARS) para mapear as redes de colaboração científica em P&D do IPEN. Os dados utilizados na ARS foram extraídos da base de dados digitais de publicações técnico-científicas do IPEN, com o auxílio de um programa computacional, e basearam-se em coautoria compreendendo o período de 2001 a 2010. Esses dados foram agrupados em intervalos consecutivos de dois anos gerando cinco redes bienais. Essa primeira abordagem revelou várias características estruturais relacionadas às redes de colaboração, destacando-se os autores mais proeminentes, distribuição dos componentes, densidade, boundary spanners e aspectos relacionados à distância e agrupamento para definir um estado de redes mundo pequeno (small world). A segunda utilizou o método dos mínimos quadrados parciais, uma variante da técnica de modelagem por equações estruturais, para avaliar e testar um modelo conceitual, apoiado em fatores pessoais, sociais, culturais e circunstanciais, para identificar aqueles que melhor explicam a propensão de um autor do IPEN em estabelecer vínculos de colaboração em ambientes de P&D. A partir do modelo consolidado, avaliou-se o quanto ele explica a posição estrutural que um autor ocupa na rede com base em indicadores de ARS. Nesta segunda parte, os dados foram coletados por meio de uma pesquisa de levantamento com a utilização de um questionário. Os resultados mostraram que o modelo explica aproximadamente 41% da propensão de um autor do IPEN em colaborar com outros autores e em relação à posição estrutural de um autor na rede o poder de explicação variou entre 3% e 3,6%. Outros resultados mostraram que a colaboração entre autores do IPEN tem uma correlação positiva com intensidade moderada com a produtividade, da mesma forma que, os autores mais centrais na rede tendem a ampliar a sua visibilidade. Por fim, vários outros indicadores estatísticos bibliométricos referentes à rede de colaboração em P&D do IPEN foram determinados e revelados, como, a média de autores por publicação, média de publicações por autores do IPEN, total de publicações, total de autores e não autores do IPEN, entre outros. Com isso, esse trabalho fornece uma contribuição teórica e empírica aos estudos relacionados à colaboração científica e ao processo de transferência e preservação de conhecimento, assim como, vários subsídios que contribuem para o contexto de tomada de decisão em ambientes de P&D. / Tese (Doutorado em Tecnologia Nuclear) / IPEN/T / Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

Cette thèse s’articule autour de deux séries de travaux motivés par des expériences sur des fourmis. Bien qu’inspirés par labiologie, les modèles que nous développons utilisent une terminologie et une approche typique de l’informatique théorique.Le premier modèle s’inspire du transport collaboratif de nourriture au sein de l’espèce P. Longicornis. Certains aspectsfondamentaux du processus peuvent être décrits par un problème de recherche sur un graphe en présence d’un certain typed’indications bruitées à chaque noeud. Ces indications représentent de courtes traces de phéromones déposées devant l’objettransporté afin de faciliter la navigation. Dans cette thèse, nous donnons une analyse complète du problème lorsque le graphesous-jacent est un arbre, une hypothèse pertinente dans un cadre informatique. En particulier, notre modèle peut être vucomme une généralisation de la recherche binaire aux arbres, en présence de bruit. De manière surprenante, lescomportements des algorithmes optimaux dans ce cadre diffèrent suivant le type de garantie que l’on étudie : convergence enmoyenne ou avec grande probabilité.Le deuxième modèle présenté dans cette thèse a été conçu pour décrire la dissémination d’informations au sein de fourmis dudésert. Dans notre modèle, les échanges ont lieu uniformément au hasard, et sont sujets à du bruit. Nous prouvons une borneinférieure sur le nombre d’interactions requis en fonction de la taille du groupe. La borne, de même que les hypothèses dumodèle, semblent compatible avec les données expérimentales.Une conséquence théorique de ce résultat est une séparation dans ce cadre des variantes PUSH et PULL pour le problème du broadcast avec bruit. Nous étudions aussi une version du problème avec des garanties de convergence plus fortes. Dans cecas, le problème peut-être résolu efficacement, même si les échanges d’information au cours de chaque interaction sont très limités / This thesis is built around two series of works, each motivated by experiments on ants. We derive and analyse new models,that use computer science concepts and methodology, despite their biological roots and motivation.The first model studied in this thesis takes its inspiration in collaborative transport of food in the P. Longicornis species. Wefind that some key aspects of the process are well described by a graph search problem with noisy advice. The advicecorresponds to characteristic short scent marks laid in front of the load in order to facilitate its navigation. In this thesis, weprovide detailed analysis of the model on trees, which are relevant graph structures from a computer science standpoint. Inparticular our model may be viewed as a noisy extension of binary search to trees. Tight results in expectation and highprobability are derived with matching upper and lower bounds. Interestingly, there is a sharp phase transition phenomenon forthe expected runtime, but not when the algorithms are only required to succeed with high probability.The second model we work with was initially designed to capture information broadcast amongst desert ants. The model usesa stochastic meeting pattern and noise in the interactions, in a way that matches experimental data. Within this theoreticalmodel, we present in this document a strong lower bound on the number of interactions required before information can bespread reliably. Experimentally, we see that the time required for the recruitment process of even few ants increases sharplywith the group size, in accordance with our result. A theoretical consequence of the lower bound is a separation between theuniform noisy PUSH and PULL models of interaction. We also study a close variant of broadcast, without noise this time butunder more strict convergence requirements and show that in this case, the problem can be solved efficiently, even with verylimited exchange of information on each interaction.

De nos jours, les médias sociaux en ligne ont transformé notre façon de créer, de partager et d'accéder à l'information. Ces plateformes reposent sur de gigantesques réseaux favorisent le libre échange d'informations entre des centaines de millions de personnes à travers le monde entier, et cela de manière instantanée.Qu'ils soient en lien avec un évènement global ou en lien avec un évènement local, ces messages peuvent influencer une société et peuvent contenir des informations utiles pour la détection ou la prédiction de phénomènes du monde réel.Cependant, certains messages diffusés peuvent avoir un impact très négatif dans la vie réelle. Ces messages contenant une « infox » peuvent avoir des conséquences désastreuses.Pour éviter et anticiper ces situations dramatiques, suivre les rumeurs, éviter les mauvaises réputations, il est nécessaire d'étudier puis de modéliser la propagation de l'information.Or, la plupart des modèles de diffusion introduits reposent sur des hypothèses axiomatiques représentées par des modèles mathématiques. Par conséquent, ces modèles sont éloignés des comportements de diffusion des utilisateurs dans la mesure où ils n’intègrent pas les observations faites sur des cas concrets de diffusion. Dans nos travaux, nous étudions le phénomène de diffusion de l’information à deux échelles. À une échelle microscopique, nous avons observé les comportements de diffusion selon des traits de personnalité des utilisateurs en analysant les messages qu'ils publient en termes de sentiments et d'émotions. À une échelle macroscopique, nous avons analysé l'évolution du phénomène de diffusion en prenant en compte la dimension géographique des utilisateurs. / Nowadays, online social media has transformed the way we create, share and access information. These platforms rely on gigantic networks that promote the free exchange of information between hundreds of millions of people around the world, and this instantly.Whether related to a global event or in connection with a local event, these messages may influence a society and may contain information useful for the detection or prediction of real-world phenomena.However, some broadcast messages can have a very negative impact in real life. These messages containing false information can have disastrous consequences.To avoid and anticipate these dramatic situations, follow rumors, avoid bad reputations, it is necessary to study and then model the propagation of information.However, most of the diffusion models introduced are based on axiomatic hypotheses represented by mathematical models. As a result, these models are far removed from the users' dissemination behaviors in that they do not incorporate observations made on concrete dissemination cases. In our work, we study the phenomenon of diffusion of information at two scales. On a microscopic scale, we observed diffusion behaviors based on the personality traits of users by analyzing the messages they post in terms of feelings and emotions. On a macroscopic scale, we analyzed the evolution of the diffusion phenomenon by taking into account the geographical dimension of the users.

Problematic substance use is a pressing global health problem, and dissemination and implementation of accurate health information regarding prevention, treatment, and recovery are vital. In many nations, especially the US, many people are involved in religious groups or faith communities, and this offers a potential route to positively affect health through health information dissemination in communities that may have limited health resources. Health information related to addiction will be used as the backdrop issue for this discussion, but many health arenas could be substituted. This article evaluates the utility of commonly used health communication theories for communicating health information about addiction in religious settings and identifies their shortcomings. A lack of trusting, equally contributing, bidirectional collaboration among representatives of the clinical/scientific community and religious/faith communities in the development and dissemination of health information is identified as a potential impediment to effectiveness. The Substance Abuse and Mental Health Services Administration's (SAMHSA) tenets of trauma-informed practice, although developed for one-on-one use with those who have experienced trauma or adversity, are presented as a much more broadly applicable framework to improve communication between groups such as organizations or communities. As an example, we focus on health communication within, with, and through religious groups and particularly within churches.

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Introduction : Les pressions sont fortes envers les professionnels de la santé pour qu’ils appliquent une pratique factuelle. Toutefois, un écart important demeure entre les résultats des recherches et la réalité clinique. Par son aspect interactif, le Web 2.0 peut contribuer à l’application des données probantes en facilitant l’accès et l’échange de connaissances. Objectif : Ce projet de recherche s’inscrit dans une étude visant à élaborer une plateforme informatisée pour les professionnels travaillant avec la clientèle ayant subi un accident vasculaire cérébral (AVC). L’objectif de la présente étude est de décrire la perception des professionnels de la santé face à l’introduction du Web 2.0 dans leur pratique. Méthode : Un devis de recherche qualitatif avec une approche phénoménologique a été utilisé. Des entrevues individuelles semi-structurées ont été menées auprès de 24 professionnels et gestionnaires. Résultats : Les personnes interviewées étaient toutes des femmes avec un âge moyen de 45 ans (± 18). Le transfert des connaissances est l’utilité du Web 2.0 qui émerge des participants comme étant la plus importante. Les répondants ont également exprimé avoir besoin d'une plateforme conviviale. Les résultats soulignent également un paradoxe lié au temps. En effet, les répondants estiment que le Web 2.0 pourrait leur permettre de sauver du temps, cependant ils affirment qu'ils n'auront pas le temps de l'utiliser. Conclusion : Bien que le Web 2.0 demeure un outil de transfert de connaissances peu intégré dans la pratique, les professionnels travaillant avec la clientèle AVC perçoivent généralement positivement son introduction dans leur pratique. / Introduction: Health professionals are increasingly encouraged to adopt an evidence-based practice. However, gaps continue to be observed between scientific evidence and practice. Through its interactive capabilities, Web 2.0 can contribute to an evidence-based practice by improving exchange of relevant clinical and scientific information’s. Objective: This study is a part of a project that wants to design a Web 2.0 platform for health professionals working with stroke patients. The aim is to gain a better understanding of professionals’ perceptions of Web 2.0 before platform development. Methods: A qualitative study following the phenomenological approach was chosen. We conducted individual semi-structured interviews with 24 clinicians and managers. Results: Interviewed people were all women with a mean age of 45 years (± 18). Knowledge transfer was identified to be the most useful outcome of a Web 2.0 platform. Respondents also expressed their need for a user-friendly platform. Results also highlight a time paradox. Clinicians feel that the Web 2.0 will help them save time while they argue that they will not have time to use it. Conclusion: While Web 2.0 remains a knowledge transfer tool not yet integrated in clinical practice, professionals working with stroke patients generally receive its implementation positively.

Made available in DSpace on 2016-04-04T18:36:32Z (GMT). No. of bitstreams: 1 Mateus Pereira Dias.pdf: 6665392 bytes, checksum: e3195a7b8b0ea5d32fc6d23b9a2831fc (MD5) Previous issue date: 2007-05-24 / Digitally filed information is presented to its users in several different ways, thanks to computer resources available now. Under this context, the availability of information as images and graphics was increased to enable user s comprehension about something unknown. One field that has been concerned with this subject is the Visualization of Information, which aim is to potentialize the appropriation of information to the user by means of graphic resources known as Visualization of Information Structures. This work aims to study the behavior of such available structures for an efficient use by the Information Science. It initially offers an analysis of the technical referential about the Visualization of Information area, showing its structures, features and reflexes on the cognitive systems of its users. Finally, the most used types of Visualization of Information and the suggestions to their use at Information Science are presented in a detailed way / As informa??es armazenadas em meios digitais s?o apresentadas aos seus usu?rios de diversas formas, gra?as aos recursos computacionais dispon?veis na atualidade. Sob esse contexto, ampliou-se a disponibiliza??o de informa??es na forma de imagens e gr?ficos, com o objetivo de facilitar a compreens?o do usu?rio sobre algum conhecimento. Uma ?rea que tem se preocupado com esse assunto ? a da Visualiza??o da Informa??o, cujo fim ? o de potencializar a apropria??o de informa??o ao usu?rio, por meio de recursos gr?ficos conhecidos como Estruturas de Visualiza??o de Informa??o. Este trabalho visa a estudar o comportamento de tais estruturas dispon?veis para a utiliza??o eficiente pela Ci?ncia da Informa??o. Inicialmente, oferece uma an?lise do referencial te?rico sobre a ?rea da Visualiza??o da Informa??o, apresenta suas estruturas, caracter?sticas e reflexos no sistema cognitivo dos seus usu?rios. Finalmente, s?o apresentados, de forma detalhada, os tipos de estruturas de Visualiza??o de Informa??es mais utilizados e as sugest?es para o uso de cada um deles para a Ci?ncia da Informa??o

La dissémination d’information dans les réseaux VANET est une opération fondamentale pour la sécurité routière. Il est dès lors nécessaire de concevoir et mettre en oeuvre des algorithmes efficaces et adaptatifs pour la dissémination d’informations sélectives et pertinentes.Dans ce travail, des approches Bio-inspirées sont proposées, à partir des comportements auto-organisés des essaims comme les colonies de fourmis et d’abeilles. Ces approches visent à fournir à chaque véhicule des informations en provenance de son environnement et alerter les conducteurs. Dans la première approche, le système de communication direct et indirect des fourmis est utilisé. Les fourmis partagent les informations sur les sources de nourriture avec des membres de la colonie en sécrétant la phéromone sur leurs chemins. La deuxième approche est inspirée par le système de communication des abeilles. Les abeilles partagent les informations à propos des sources de nourriture avec les autres membres de la ruche par des messages spécifiques, selon l’importance de ces sources.Une nouvelle mesure de "pertinence" associée aux messages est définie, par analogie à la sécrétion des phéromones des fourmis et au niveau de l’intensité des messages pour les abeilles, pour disséminer des informations de sécurité dans une zone géographique. Les simulations sont effectuées en utilisant le simulateur NS2 pour mesurer l’efficacité des approches proposées sous différentes conditions, en particulier en termes de densités et vitesses des véhicules. / Information dissemination in Vehicular Ad hoc Networks (VANETs) is a fundamental operation to increase the safety awareness among vehicles on roads. Thus, the design and implementation of efficient and scalable algorithms for relevant information dissemination constitutes a major issue that should be tackled.In this work, bio-inspired information dissemination approaches are proposed, that use self-organization principles of swarms such as Ant and Honey Bee colonies. These approaches are targeted to provide each vehicle with the required information about its surrounding and assist drivers to be aware of undesirable road conditions. In the first approach, Ant’s direct and indirect communication systems are used. Ants share information about food findings with colony members by throwing pheromone on the returning to the nest. The second, an RSU-based approach is inspired by the Bee communication system. Bees share profitable food sources with hive-mates in their hive by specific messages.A “relevance” value associated to the emergency messages is defined as an analogue to pheromone throwing in Ant colony, and as an analogue to profitability level in Bee colony, to disseminate safety information within a geographical area. Simulations are conducted using NS2 network simulator and relevant metrics are evaluated under different node speeds and network densities to show the effectiveness of the proposed approaches.

In public warning message systems, information dissemination across the network is a critical aspect that has to be addressed. Dissemination of warning messages should be such that it reaches as many nodes in the network in a short time. In communication networks those based on device to device interactions, dissemination of the information has lately picked up lot of interest and the need for self organization of the network has been brought up. Self organization leads to local behaviors and interactions that have global effects and helps in addressing scaling issues. The use of self organized features allows autonomous behavior with low memory usage. Some examples of self organization phenomenon that are observed in nature are Lateral Inhibition and Flocking. In order to provide self organized features to communication networks, insights from such naturally occurring phenomenon is used. Achieving small world properties is an attractive way to enhance information dissemination across the network. In small world model rewiring of links in the network is performed by altering the length and the direction of the existing links. In an autonomous wireless environment such organization can be achieved using self organized phenomenon like Lateral inhibition and Flocking and beamforming (a concept in communication). Towards this, we first use Lateral Inhibition, analogy to Flocking behavior and beamforming to show how dissemination of information can be enhanced. Lateral Inhibition is used to create virtual regions in the network. Then using the analogy of Flocking rules, beam properties of the nodes in the regions are set. We then prove that small world properties are achieved using average path length metric. However, the proposed algorithm is applicable to static networks and Flocking and Lateral Inhibition concepts, if used in a mobile scenario, will be highly complex in terms of computation and memory. In a mobile scenario such as human mobility aided networks, the network structure changes frequently. In such conditions dissemination of information is highly impacted as new connections are made and old ones are broken. We thus use stability concept in mobile networks with beamforming to show how information dissemination process can be enhanced. In the algorithm, we first predict the stability of a node in the mobile network using locally available information and then uses it to identify beamforming nodes. In the algorithm, the low stability nodes are allowed to beamform towards the nodes with high stability. The difference between high and low stability nodes is based on threshold value. The algorithm is developed such that it does not require any global knowledge about the network and works using only local information. The results are validated using how quickly more number of nodes receive the information and different state of the art algorithms. We also show the effect of various parameters such as number of sources, number of packets, mobility parameters and antenna parameters etc. on the information dissemination process in the network. In realistic scenarios however, the dynamicity in the network is not only related to mobility. Dynamic conditions also arise due to change in density of nodes at a given time. To address effect of such scenario on the dissemination of information related to public safety in a metapopulation, we use the concepts of epidemic model, beamforming and the countrywide mobility pattern extracted from the $D4D$ dataset. Here, we also propose the addition of three latent states to the existing epidemic model ($SIR$ model). We study the transient states towards the evolution of the number of devices having the information and the difference in the number of devices having the information when compared with different cases to evaluate the results. Through the results we show that enhancements in the dissemination process can be achieved in the addressed scenario

Introduction : Les pressions sont fortes envers les professionnels de la santé pour qu’ils appliquent une pratique factuelle. Toutefois, un écart important demeure entre les résultats des recherches et la réalité clinique. Par son aspect interactif, le Web 2.0 peut contribuer à l’application des données probantes en facilitant l’accès et l’échange de connaissances. Objectif : Ce projet de recherche s’inscrit dans une étude visant à élaborer une plateforme informatisée pour les professionnels travaillant avec la clientèle ayant subi un accident vasculaire cérébral (AVC). L’objectif de la présente étude est de décrire la perception des professionnels de la santé face à l’introduction du Web 2.0 dans leur pratique. Méthode : Un devis de recherche qualitatif avec une approche phénoménologique a été utilisé. Des entrevues individuelles semi-structurées ont été menées auprès de 24 professionnels et gestionnaires. Résultats : Les personnes interviewées étaient toutes des femmes avec un âge moyen de 45 ans (± 18). Le transfert des connaissances est l’utilité du Web 2.0 qui émerge des participants comme étant la plus importante. Les répondants ont également exprimé avoir besoin d'une plateforme conviviale. Les résultats soulignent également un paradoxe lié au temps. En effet, les répondants estiment que le Web 2.0 pourrait leur permettre de sauver du temps, cependant ils affirment qu'ils n'auront pas le temps de l'utiliser. Conclusion : Bien que le Web 2.0 demeure un outil de transfert de connaissances peu intégré dans la pratique, les professionnels travaillant avec la clientèle AVC perçoivent généralement positivement son introduction dans leur pratique. / Introduction: Health professionals are increasingly encouraged to adopt an evidence-based practice. However, gaps continue to be observed between scientific evidence and practice. Through its interactive capabilities, Web 2.0 can contribute to an evidence-based practice by improving exchange of relevant clinical and scientific information’s. Objective: This study is a part of a project that wants to design a Web 2.0 platform for health professionals working with stroke patients. The aim is to gain a better understanding of professionals’ perceptions of Web 2.0 before platform development. Methods: A qualitative study following the phenomenological approach was chosen. We conducted individual semi-structured interviews with 24 clinicians and managers. Results: Interviewed people were all women with a mean age of 45 years (± 18). Knowledge transfer was identified to be the most useful outcome of a Web 2.0 platform. Respondents also expressed their need for a user-friendly platform. Results also highlight a time paradox. Clinicians feel that the Web 2.0 will help them save time while they argue that they will not have time to use it. Conclusion: While Web 2.0 remains a knowledge transfer tool not yet integrated in clinical practice, professionals working with stroke patients generally receive its implementation positively.