992 resultados para neural architecture


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Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.

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Liver diseases have severe patients’ consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.

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About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It is our intention to develop a hybrid decision support system under a formal framework based on Logic Programming for knowledge representation and reasoning, complemented with an approach to computing centered on Artificial Neural Networks, to evaluate the risk of developing breast cancer and the respective Degree-of-Confidence that one has on such a happening.

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Many of our everyday tasks require the control of the serial order and the timing of component actions. Using the dynamic neural field (DNF) framework, we address the learning of representations that support the performance of precisely time action sequences. In continuation of previous modeling work and robotics implementations, we ask specifically the question how feedback about executed actions might be used by the learning system to fine tune a joint memory representation of the ordinal and the temporal structure which has been initially acquired by observation. The perceptual memory is represented by a self-stabilized, multi-bump activity pattern of neurons encoding instances of a sensory event (e.g., color, position or pitch) which guides sequence learning. The strength of the population representation of each event is a function of elapsed time since sequence onset. We propose and test in simulations a simple learning rule that detects a mismatch between the expected and realized timing of events and adapts the activation strengths in order to compensate for the movement time needed to achieve the desired effect. The simulation results show that the effector-specific memory representation can be robustly recalled. We discuss the impact of the fast, activation-based learning that the DNF framework provides for robotics applications.

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There are only a few treatments available for Tourette syndrome (TS). These treatments frequently do notwork in patients with moderate to severe TS [1]. Neuroimaging studies show a correlation between tics severity and increased activation over motor pathways, along with reduced activation over the control areas of the cortico-striato-thalamo-cortical circuits [2]. Moreover, the temporal pattern of tic generation suggests that cortical activation especially in the SMA precedes subcortical activation [3]. Following this assumption, here we explored the brain effects of 10-daily sessions of cathodal transcranial Direct Current Stimulation (tDCS) delivered over the pre-SMA in a patient with refractory and severe TS and also assessed whether those changes were long lasting (up to 6 months).

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Cartilage tissue is a complex nonlinear, viscoelastic, anisotropic, and multiphasic material with a very low coefficient of friction, which allows to withstand millions of cycles of joint loading over decades of wear. Upon damage, cartilage tissue has a low self-reparative capacity due to the lack of neural connections, vascularization, and a latent pool of stem/chondroprogenitor cells. Therefore, the healing of articular cartilage defects remains a significant clinical challenge, affecting millions of people worldwide. A plethora of biomaterials have been proposed to fabricate devices for cartilage regeneration, assuming a wide range of forms and structures, such as sponges, hydrogels, capsules, fibers, and microparticles. In common, the fabricated devices were designed taking in consideration that to fully achieve the regeneration of functional cartilage it is mandatory a well-orchestrated interplay of biomechanical properties, unique hierarchical structures, extracellular matrix (ECM), and bioactive factors. In fact, the main challenge in cartilage tissue engineering is to design an engineered device able to mimic the highly organized zonal architecture of articular cartilage, specifically its spatiomechanical properties and ECM composition, while inducing chondrogenesis, either by the proliferation of chondrocytes or by stimulating the chondrogenic differentiation  of stem/chondro-progenitor cells. In this chapter we present the recent advances in the development of innovative and complex biomaterials that fulfill the required structural key elements for cartilage regeneration. In particular, multiphasic, multiscale, multilayered, and hierarchical strategies composed by single or multiple biomaterials combined in a welldefined structure will be addressed. Those strategies include biomimetic scaffolds mimicking the structure of articular cartilage or engineered scaffolds as models of research to fully understand the biological mechanisms that influence the regeneration of cartilage tissue.

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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)

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Recently, environmental architecture and sustainable construction has been ranked on top of the worldâ s interests. Making use of natural resources helps in reducing energy consumption and costs associated with the operation of buildings. The current architectural approaches and designs in Palestine are far away from environmental concepts, copying and simulating abroad approaches, without taking into account the culture, climate, and inhabitant's needs. On the contrast, vernacular architecture has achieved environmental concepts and has given suitable approaches and samples - without any need to simulate or copy - which come from people and land. This paper discusses how the Palestinian socio-cultural context shaped the residential vernacular architecture in Palestine, taking the old city of Nablus as a case-study. The research concept depends on analysing and trying to understand the effect of the socio-cultural context on vernacular architecture and trying to reach some rules or understandings of how it works in order to reach a modern environmental dwelling that is suitable to this concept. The research method goes through analysing study cases from the traditional architecture models and the Nablus city is selected as a case study. This analytical and qualitative method can lead to deep understanding for how to benefit from vernacular architecture in Palestine in finding the future environmental residential construction. One of the main findings of this research is to set general and special rules for building sustainable buildings in Palestine from the socio-cultural point view, in order to be a reference for designers, stakeholders, ministry of planning, and municipalities.

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Tese de Doutoramento em Engenharia Biomédica.

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Dissertação de Mestrado (Programa Doutoral em Informática)

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Current data mining engines are difficult to use, requiring optimizations by data mining experts in order to provide optimal results. To solve this problem a new concept was devised, by maintaining the functionality of current data mining tools and adding pervasive characteristics such as invisibility and ubiquity which focus on their users, providing better ease of use and usefulness, by providing autonomous and intelligent data mining processes. This article introduces an architecture to implement a data mining engine, composed by four major components: database; Middleware (control); Middleware (processing); and interface. These components are interlinked but provide independent scaling, allowing for a system that adapts to the user’s needs. A prototype has been developed in order to test the architecture. The results are very promising and showed their functionality and the need for further improvements.

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En la etapa embrionaria temprana de los vertebrados, las células de la cresta neural (CCN) se segregan del tubo neural y se distribuyen con patrones temporales y espaciales muy precisos, contribuyendo a la formación de muchos derivados: neuronas y glía del sistema nervioso periférico, parte del sistema endócrino, sistema pigmentario y la mayor parte de los tejidos cráneo-faciales. Las bases morfogenéticas de esta movilización de las CCN se asocian con la disponibilidad de componentes de la matriz extracelular, con fenómenos de apoptosis selectiva, y con la expresión de genes homeóticos, de proteínas transportadoras de retinoides y de receptores de ácido retinoico (AR). En consecuencia, el mecanismo que define el comportamiento de las CCN migratorias asume una especial importancia, desde que cualquier fallo producido en estos "reguladores topográficos" podrá alterar la ordenada traslocación de CN, induciendo una dismorfogénesis. (...) Objetivos: 1) Analizar el comportamiento dinámico de la etapa migratoria temprana de las CCN de niveles cefálico y troncal expuestas a etanol o AR in vitro. 2) Evaluar la posible reversibilidad de los efectos del etanol y del AR sobre la morfología y dinámica migratoria de las CCN de niveles cefálico y troncal in vitro. 3) Analizar los componentes del citoesqueleto asociados con los cambios de forma y motilidad celular en CCN de niveles cefálico y troncal expuestas a etanol y AR in vitro. Los resultados del proyecto permitirán aportar al conocimiento de los mecanismos básicos que regulan la movilidad de poblaciones celulares de gran importancia para el desarrollo humano. Los datos obtenidos servirán de base para futuros enfoques de biología molecular tendientes a innovar aspectos del diagnóstico, pronóstico y prevención de patologías humanas de creciente prevalencia provocadas por el etanol (FAS) y los retinoides (RAE).

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El presente plan tiene como objetivo general la caracterización de factores celulares y moleculares que afecten la sobrevida, la diferenciación neural y la regeneración axonal en células del sistema nervioso central (SNC). Las neuronas maduras de vertebrados superiores son incapaces de regenerar sus axones dañados, razón por la cual todo estudio experimental de regeneración axonal "in vitro", si bien aporta conocimientos básicos, tiene potenciales aplicaciones prácticas en relación a la recuperación de la función neuronal. Diversos estudios de regeneración axonal, especialmente para las células gangionares (CGR) han sido realizados con cultivos de células retinales. Estos cultivos están compuestos por diversos tipos de neuronas, lo que hace que cuando se quiere determinar los efectos de un agente trófico, no sea éste el mejor sistema dado que los efectos observados pueden estar afectados por otros tipos celulares del cultivo. Por ello, para optimizar un modelo para estos estudios, hemos desarrollado un método de cultivo para las CGR purificadas por "panning" de retinas de embrión de pollo de diverso desarrollo ontogénico. Las CGR son sembradas a baja densidad en un medio sintético que especialmente hemos formulado (BP5). (...) En base a la experiencia adquirida, y utilizando las técnicas puestas en marcha en nuestro laboratorio, nos proponemos caracterizar, mediante el análisis de parámetros bioquímicos y de video-microscopía con analizador de la diferenciación y el crecimiento axonal de las CGR purificadas. Las CGR serán cultivadas en condiciones basales con el medio PB5, o en presencia de diversos factores de crecimiento, sustancias de la matriz extracelular y gangliósidos exógenos, agregados individualmente o en combinación. En estas condiciones se correlacionarán los efectos observados con los cambios en los "patterns" de síntesis y expresión de los gangliósidos y con el flujo intracelular de Ca2+.

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La motilidad celular orientada (o mecanismo quimiotáctico de orientación), es una respuesta celular a señales moleculares de su micro-ambiente necesaria para modular la distribución celular en sitios específicos y con elevada precisión. Nuestra hipótesis establece que la migración orientada de células neurales es regulada por gradientes de concentración de moléculas solubles liberadas por sus regiones "blanco". Este proyecto es continuación del estudio de la quimiotaxis de células de cresta neural (CCN) y de neuronas ventriculares (NV) inducida respectivamente por factores difusibles de la región del futuro ganglio ciliar y del bulbo olfatorio.En el sistema de CCN, hemos caracterizado como moléculas quimiotácticas a la quimioquina Stromal Cell-Derived Factor-1, y los factores tróficos Stem Cell Factor y Neurotrophic Factor-3, habiendo determinado la expresión de sus respectivos receptores CXCR4, TrkC y p75 en la población de CCN mesencefálicas de ambrión de pollo. Actualmente, estamos desarrollando experimentos con el Ciliary Neurotrophic Factor y factores de la familia Bone Morphogenetic Proteins. Además de la estrategia experimental in vitro, hemos determinado en el embrión entero la expresión de las moléculas quimioatractantes mediante hibridación in situ del ARNm y la presencia de las respectivas proteínas mediante inmunocitoquímica. En el sistema de NV, estamos analizando la motilidad celular en relación con moléculas liberadas por el bulbo olfatorio. En los dos sistemas biológicos, estamos analizando elementos de la transducción de señales y cambios en el citoesqueleto, en ambos casos asociados con la respuesta temprana en la orientación quimiotáctica de la célula. Asimismo, en ambos sistemas biológicos, evaluamos los efectos del etanol sobre la migración y distribución celular, en condiciones equivalentes a las que inducen el Sindrome Fetal Alcohólico en mamíferos.En base a resultados ya obtenidos en experimentos in vitro, en la presente etapa intentaremos su caracterización in vivo mediante el bloqueo funcional de las moléculas quimiotácticas (y/o sus receptores) sobre embriones enteros, mediante silenciamiento con ARNsi (o morfolinos específicos) mediante electroporación, y posterior determinación de la distribución celular mediante marcadores específicos anti-CCN (o lipofílicos de tipo DiI).Los resultados permitirán mejorar el conocimiento del mecanismo de la migración celular orientada y aportar al diseño de recursos diagnósticos, terapéuticos o de control de anomalías embrionarias o patologías tumorales por mala distribución celular como las Neurocristopatías, o inducidas por tóxicos exógenos como el Sindrome Fetal Alcohólico.