Aplicación de la Shear Wave Elastography en la patología músculo esquelética

La Elastografía, unida a la técnica con ultrasonidos, es un nueva modalidad de técnica de imagen, con la que se reflejan en tiempo real los parámetros relacionados con la organización estructural de los tejidos (elasticidad) respecto de los tejidos adyacentes. De esta manera, aporta una información que junto a las propiedades morfológicas que proporciona la ecografía convencional y el modo- Doppler puede resultar útil en la práctica clínica. Aunque la Shear Wave Elastography (SWE) , fue inicialmente introducida en otro tipo de localizaciones anatómicas, como próstata, mama o hígado, ha crecido la evidencia en los últimos años, de que puede convertirse en una herramienta muy útil para la evaluación de las propiedades elásticas en el aparato locomotor y para el diagnóstico de diversas patologías dentro de él. A día de hoy, los resultados que se observan en los múltiples estudios realizados en el sistema músculo esquelético, plantean la posibilidad de que esta técnica constituya el futuro tercer pilar de la imagen en la ecografía. En este trabajo se pretende realizar una revisión de lo que es la Elastografía y específicamente de la modalidad, Shear Wave Elastograhy (SWE), y defender su validez en su aplicación al diagnóstico sistema musculo esquelético y en el seguimiento de la regeneración de lesiones traumáticas.Grado en Medicin

Integrity: A Vital Tool for the 21st Century Church Leaders in Nigeria

The increasing level of moral decadence such as rape, fraud, covetousness, sexual misconduct, character assassination, cultic activities, bloodshed, idolatry, syncretism among some church leaders in the 21st century has caused lots of reproach to the sacred order and arose varieties of questioning to the sanctity of the call of some church leaders in the present age. More worrisome also is the fact that while some church leaders in the 21st century spend more effort in theological formation, little or no attention is given to moral discipline. What should be the attitude of church leaders in matters of morality at home, society and church? Shouldn’t the church leaders be honest and consistent in all things? Pauline discourse on the qualification of church leaders in 1 Timothy 3:1-7 is used as a guide. The paper employs phenomenological and historical-critical method. The essence of the paper is to remind church leaders in the 21st-century church that a high level of moral responsibility is demanded of them if they must thrive and be a voice in the present age

Agents that learn how to generate arguments from other agents

Learning how to argue is a key ability for a negotiator agent. In this paper, we propose an approach that allows agents to learn how to build arguments by observing how other agents argue in a negotiation context. Particularly, our approach enables the agent to infer the rulesfor argument generation that other agents apply to build their arguments. To carry out this goal, the agent stores the arguments uttered by other agents and the facts of the negotiation context where each argument is uttered. Then, an algorithm for fuzzy generalized association rules is applied to discover the desired rules. This kind of algorithm allows us (a) to obtain general rules that can be applied to dierent negotiation contexts; and (b) to deal with the uncertainty about the knowledge of what facts of the context are taken into account by the agents. The experimental results showed that it is possible to infer argument generation rules from a reduced number of observed arguments.Fil: Amandi, Analia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Monteserin, Ariel José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentin

Collaborative Learning Team Formation Considering Team Roles: An Evolutionary Approach based on Adaptive Crossover, Mutation and Simulated Annealing

In this paper, a hybrid evolutionary algorithm is proposed to solve a collaborative learning team formation problem in higher education contexts. This problem involves a grouping criterion evaluated satisfactorily in a great variety of higher education courses as well as training programs. This criterion is based on the team roles of students, and implies forming well-balanced teams respecting the team roles of their members. The hybrid evolutionary algorithm uses adaptive crossover, mutation and simulated annealing processes, in order to improve the performance of the evolutionary search. These processes adapt their behavior regarding the state of the evolutionary search. The performance of the hybrid evolutionary algorithm is exhaustively evaluated on data sets with very different complexity levels, and after that, is compared with those of the algorithms previously reported in the literature to solve the addressed problem. The results obtained from the performance comparison indicate that the hybrid evolutionary algorithm significantly outperforms the algorithms previously reported, in both effectiveness and efficiency.Fil: Yannibelli, Virginia Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Sistemas Tandil; ArgentinaFil: Amandi, Analia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto Superior de Ingeniería del Software. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto Superior de Ingeniería del Software; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Instituto de Sistemas Tandil; Argentin

Learning browsing patterns for context-aware recommendation

The success of personal information agents depends on their capacity to both identify relevant information for users and proactively recommend context-relevant information. In this paper, we propose an approach to enable proactive context-aware recommendation based on the knowledge of both user interests and browsing patterns. The pro- posed approach analyzes the browsing behavior of users to derive a semantically enhanced context that points out the information which is likely to be relevant for a user according to its current activities.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1Red de Universidades con Carreras en Informática (RedUNCI

A Reinforcement Learning Approach to Improve the Argument Selection Effectiveness in Argumentation-based Negotiation

Argument selection is considered the essence of the strategy in argumentation-based negotiation. An agent, which is arguing during a negotiation, must decide what arguments are the best to persuade the opponent. In fact, in each negotiation step, the agent must select an argument from a set of candidate arguments by applying some selection policy. Following this policy, the agent observes some factors of the negotiation context, for instance: trust in the opponent and expected utility of the negotiated agreement, among others. Usually, argument selection policies are dened statically. However, as the negotiation context varies from a negotiation to another, dening a static selection policy it is not useful. Therefore, the agent should modify its selection policy in order to adapt it to the dierent negotiation contexts as the agent´s experience increases. In this paper, we present a reinforcement learning approach that allows the agent to improve the argument selection eciency by updating the argument selection policy. To carry out this goal, the argument selection mechanism is represented as a reinforcement learning model. We tested this approach in a multiagent system, in a stationary as well as in a dynamic environment, and obtained promising results in both.Fil: Amandi, Analia Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; ArgentinaFil: Monteserin, Ariel José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Tandil. Instituto Superior de Ingenieria del Software; Argentin

A reputation-based scheme for announcement messages in vehicular networks

English: Vehicular Ad-Hoc Networks (VANETs) are shaping up as the next step to provide information and safety services to vehicles. These networks are characterized for being variable in terms of connectivity and delay due to continuous changes in the topology. These conditions are acceptable for developing best effort information systems, no bounded in delay or rate. However, when dealing with critical safety applications, as emergency accident reports, some improvements are needed in terms of reliability and security. In this thesis, we present and classify the incoming VANETs services and the techniques to enable nodes to trust their neighbours'announcements in an efficient and secure manner. To overcome the limitations, we propose a reputation-aware system for VANETs based on digital credentials conveying the reputation value assigned to users. Finally we evaluate the costs and accuracy of this new proposal by itself and combined with the existing ones based on revocation lists.Castellano: Las redes vehiculares ad-hoc (VANET) se perfilan como el próximo paso para proporcionar información y servicios de seguridad en vehículos. Estas redes se caracterizan por ser variables en términos de conectividad y latencia debido sobre todo a los continuos cambios de topología. Estas condiciones son aceptables para el desarrollo de sistemas de información sin calidad predeterminada ó 'Best-Effort', sin limitación en el retraso o en la tasa con la que se intercambian los datos. Sin embargo, cuando se trata de aplicaciones críticas de seguridad, como los avisos de emergencia en caso de accidente, se hacen necesarias algunas mejoras en términos de fiabilidad y seguridad. En esta tesis, vamos a presentar y clasificar los servicios VANET incipientes y las técnicas para que los nodos puedan confiar en los anuncios de sus vecinos de un modo eficiente y seguro. Para superar estas limitaciones, se propone un sistema de reputación para las VANET sobre la base de credenciales digitales conteniendo el valor de reputación asignado al usuario. Finalmente, evaluamos los costes y la exactitud de esta nueva propuesta en sí misma y en combinación con las ya existentes basadas en listas de revocación.Català: Les xarxes vehiculars Ad-hoc (VANET) es perfilan com el proper pas per proporcionar informació i serveis de seguretat als vehicles. Aquestes xarxes es caracteritzen per ser variables en termes de connectivitat i de retard a causa dels continus canvis de topologia. Aquestes condicions són acceptables per al desenvolupament de sistemes de informació del tipus 'Best Effort', no limitats en terms de retard o taxa de dades. No obstant això, quan es tracta d'aplicacions crítiques de seguretat, com son els informes d'accidents d'emergència, algunes millores són necessàries en termes de fiabilitat i seguretat. En aquesta tesi, presentarem i classificarem els propers serveis per les VANET i les tècniques per permetrán que els nodes tingin confiança quan es comuniquin ambs els seus veïns d'una manera eficient i segura. Per superar les limitacions, es proposa un sistema de reputació, tant per VANET sobre la base de les credencials digitals que transmetin el valor assignat a la reputació dels usuaris. Finalment, avaluarem els costos i la precisió d'aquesta nova proposta en si mateixa i en combinació amb les ja existents sobre la base de les llistes de revocació

Ambientes personalizados de e-learning: considerando os contextos dos alunos

A personalização em sistemas de e-learning é fundamental, uma vez que esses são utilizados por uma grande variedade de alunos, com características diferentes. Há várias abordagens que visam personalizar ambientes e- learning. No entanto, esses se concentram principalmen- te na tecnologia e / ou em detalhes da rede, sem levar em consideração os aspectos contextuais. Eles consideram apenas uma versão limitada do contexto, proporcionando personalização. Em nosso trabalho, o objetivo é melhorar a personalização do ambiente de aprendizagem e-learning, fazendo uso de uma melhor compreensão e modelagem do contexto educacional e tecnológico do usuário, utilizando ontologias. Mostramos um exemplo do uso da nossa pro- posta no sistema AdaptWeb, na qual o conteúdo e as re- comendações de navegação fornecidas dependem do con- texto do aluno

The IONWI algorithm: learning when and when not to interrupt

One of the key issues for an interface agent to succeed at assisting a user is learning when and when not to interrupt him to provide him assistance. Unwanted or irrelevant interruptions hinder the user’s work and make him dislike the agent because it is being intrusive and impolite. The IONWI algorithm enables interface agents to learn a user’s preferences and priorities regarding interruptions. The resulting user profile is then used by the agent to personalize the modality of the assistance, that is, assisting the user with an interruption or without an interruption depending on the user’s context. Experiments were conducted in the calendar management domain, obtaining promising results.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1Red de Universidades con Carreras en Informática (RedUNCI