Browsing by Autor "Cristina Bravo Bravo"

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    ARQUITECTURA DE REFERENCIA PARA INTEGRACIÓN EN EMPRESAS DE PRODUCCIÓN INDUSTRIAL BASADA EN LA INTELIGENCIA ARTIFICIAL DISTRIBUIDA
    (Springer Nature, 2010) Cristina Bravo Bravo; José Aguilar; Addison Ríos Bolívar; Joseph Aguilar Martín; Francklin Rivas
    The inability to repair the damaged membrane may be one of the key mechanisms underlying the severe neuronal degeneration and overall functional loss seen in in vivo spinal cord injury and traumatic axonal injury in blunt head trauma. Promoting membrane resealing following damage may therefore constitute a potential effective therapeutic intervention in treating head trauma and spinal cord injuries. In our previous studies, we have shown that the axolemma failed to reseal following transection in clinically related situations, such as low extracellular calcium and low temperature. Our current studies indicate that DMSO is capable of rendering significant improvement in guinea pig axonal membrane resealing following transection in both 0.5 mM [Ca(2+)](0) and 25 degrees C situations. This was demonstrated physiologically by monitoring membrane potential recovery and anatomically by conducting HRP-exclusion assays 60 minutes after injury. Further, we have shown that the addition of DMSO in normal Krebs' solution (2 mM [Ca(2+)](0) and 37 degrees C) resulted in a decrease in membrane repair following injury. This indicates that DMSO-mediated membrane repair is sensitive to temperature and calcium. This study suggests the role of DMSO in axonal membrane resealing in clinically relevant conditions and raises the possibility of using DMSO in combination with other more established therapies in spinal cord injury treatment.
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    Diseño de una arquitectura de automatización industrial basada en sistemas multi-agentes
    (2004) Cristina Bravo Bravo; L C José Aguilar; Ioar Rivas
    The new paradigms on industrial automation tend to the intelligence distribution between the components of the production chain, and the integration between different systems and applications existing in the companies, with the purpose of improve the processes, and have real time information that allow to make right and well informed decisions. This work propose an industrial automation architecture, based on multi-agents systems, which makes use of the framework SCDIA as its bases for this architecture.