51 resultados para Molina, Enrique


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Para los ingenieros, Betancourt es un arquetipo en cuanto a virtudes personales y actitud profesional. En cuanto a las primeras es admirable el equilibrio mostrado a lo largo de toda su vida entre el trabajo en taller, la cultura artística y la curiosidad científica. Esta última especialmente basada en la observación de todo lo nuevo que llegaba a su conocimiento y alcance pero también en el estudio continuo de la ciencia básica, es decir: "observación y cálculo", como ordena la divisa de la Academia de Ciencias. Respecto a la actitud profesional impresionan su audacia y su capacidad de creación de equipos de trabajo. La audacia se refleja en su capacidad de acción sin complejos, a nivel nacional e internacional, que le permite la adquisición de conocimientos y la incorporación a los circuitos técnicos y científicos internacionales, pero también contribuye a su capacidad de convicción cuando trata con autoridades, promotores, científicos e ingenieros. Esas virtudes han sido transmitidas a través de las tremendas vicisitudes del siglo XIX español, aunque en algunos temas, como la participación con publicaciones e invenciones en el esfuerzo científico y técnico mundial, la ingeniería española moderna no haya estado siempre a la altura de nuestro personaje.

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Como complemento al Acto de Homenaje en su ciudad natal y a las sesiones académicas dedicadas a Agustín de Betancourt, la Fundación "Pro Rebus Academiae" ha propuesto el reconocimiento público y solemne a cuatro figuras relevantes. Dos de ellas desgraciadamente fallecidas el pasado año: Antonio Rumeu de Armas e Ignacio González Tascón, que nos dieron a conocer al personaje y su ambiente mediante investigaciones profundas, organizando exposiciones que popularizaron a Betancourt y nos descubrieron una parte fundamental de nuestra historia técnica. La Real Academia de Ingeniería, que pretende contribuir al esfuerzo de conocimiento de nuestro pasado ingenieril, no podía dejar pasar este encuentro sin entregar a sus familiares un recuerdo físico del respeto y agradecimiento con que considera su trabajo.

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En primer lugar se presenta una laudatio a Enrique Alarcón Álvarez, realizada por D. Javier Aracil Santonja, y posteriormente se recoge la lección magistral del Prof. Dr. D. Enrique Alarcón en la que, además de referirse a su trayectoria y vivencias en Escuela de Ingenieros Industriales de Sevilla, trata del tema de la ingeniería sísmica.

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In the last decades, neuropsychological theories tend to consider cognitive functions as a result of the whole brainwork and not as individual local areas of its cortex. Studies based on neuroimaging techniques have increased in the last years, promoting an exponential growth of the body of knowledge about relations between cognitive functions and brain structures [1]. However, so fast evolution make complicated to integrate them in verifiable theories and, even more, translated in to cognitive rehabilitation. The aim of this research work is to develop a cognitive process-modeling tool. The purpose of this system is, in the first term, to represent multidimensional data, from structural and functional connectivity, neuroimaging, data from lesion studies and derived data from clinical intervention [2][3]. This will allow to identify consolidated knowledge, hypothesis, experimental designs, new data from ongoing studies and emerging results from clinical interventions. In the second term, we pursuit to use Artificial Intelligence to assist in decision making allowing to advance towards evidence based and personalized treatments in cognitive rehabilitation. This work presents the knowledge base design of the knowledge representation tool. It is compound of two different taxonomies (structure and function) and a set of tags linking both taxonomies at different levels of structural and functional organization. The remainder of the abstract is organized as follows: Section 2 presents the web application used for gathering necessary information for generating the knowledge base, Section 3 describes knowledge base structure and finally Section 4 expounds reached conclusions.

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Versatile and accurate motion capture systems, with the required properties to be integrated within both clinical and domiciliary environments, would represent a significant advance in following the progress of the patients as well as in allowing the incorporation of new data exploitation and analysis methods to enhance the functional neurorehabilitation therapeutic processes. Besides, these systems would permit the later development of new applications focused on the automatization of the therapeutic tasks in order to increase the therapist/patient ratio, thus decreasing the costs [1]. However, current motion capture systems are not still ready to work within uncontrolled environments.

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In order to improve the body of knowledge about brain injury impairment is essential to develop image database with different types of injuries. This paper proposes a new methodology to model three types of brain injury: stroke, tumor and traumatic brain injury; and implements a system to navigate among simulated MRI studies. These studies can be used on research studies, to validate new processing methods and as an educational tool, to show different types of brain injury and how they affect to neuroanatomic structures.

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The number and grade of injured neuroanatomic structures and the type of injury determine the degree of impairment after a brain injury event and the recovery options of the patient. However, the body of knowledge and clinical intervention guides are basically focused on functional disorder and they still do not take into account the location of injuries. The prognostic value of location information is not known in detail either. This paper proposes a feature-based detection algorithm, named Neuroanatomic-Based Detection Algorithm (NBDA), based on SURF (Speeded Up Robust Feature) to label anatomical brain structures on cortical and sub-cortical areas. Themain goal is to register injured neuroanatomic structures to generate a database containing patient?s structural impairment profile. This kind of information permits to establish a relation with functional disorders and the prognostic evolution during neurorehabilitation procedures.

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Acquired Brain Injury (ABI) has become one of the most common causes of neurological disability in developed countries. Cognitive disorders result in a loss of independence and therefore patients? quality of life. Cognitive rehabilitation aims to promote patients? skills to achieve their highest degree of personal autonomy. New technologies such as interactive video, whereby real situations of daily living are reproduced within a controlled virtual environment, enable the design of personalized therapies with a high level of generalization and a great ecological validity. This paper presents a graphical tool that allows neuropsychologists to design, modify, and configure interactive video therapeutic activities, through the combination of graphic and natural language. The tool has been validated creating several Activities of Daily Living and a preliminary usability evaluation has been performed showing a good clinical acceptance in the definition of complex interactive video therapies for cognitive rehabilitation.

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The study of the effectiveness of the cognitive rehabilitation processes and the identification of cognitive profiles, in order to define comparable populations, is a controversial area, but concurrently it is strongly needed in order to improve therapies. There is limited evidence about cognitive rehabilitation efficacy. Many of the trials conclude that in spite of an apparent clinical good response, differences do not show statistical significance. The common feature in all these trials is heterogeneity among populations. In this situation, observational studies on very well controlled cohort of studies, together with innovative methods in knowledge extraction, could provide methodological insights for the design of more accurate comparative trials. Some correlation studies between neuropsychological tests and patients capacities have been carried out -1---2- and also correlation between tests and morphological changes in the brain -3-. The procedures efficacy depends on three main factors: the affectation profile, the scheduled tasks and the execution results. The relationship between them makes up the cognitive rehabilitation as a discipline, but its structure is not properly defined. In this work we present a clustering method used in Neuro Personal Trainer (NPT) to group patients into cognitive profiles using data mining techniques. The system uses these clusters to personalize treatments, using the patients assigned cluster to select which tasks are more suitable for its concrete needs, by comparing the results obtained in the past by patients with the same profile.

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Acquired brain injury (ABI) 1-2 refers to any brain damage occurring after birth. It usually causes certain damage to portions of the brain. ABI may result in a significant impairment of an individuals physical, cognitive and/or psychosocial functioning. The main causes are traumatic brain injury (TBI), cerebrovascular accident (CVA) and brain tumors. The main consequence of ABI is a dramatic change in the individuals daily life. This change involves a disruption of the family, a loss of future income capacity and an increase of lifetime cost. One of the main challenges in neurorehabilitation is to obtain a dysfunctional profile of each patient in order to personalize the treatment. This paper proposes a system to generate a patient s dysfunctional profile by integrating theoretical, structural and neuropsychological information on a 3D brain imaging-based model. The main goal of this dysfunctional profile is to help therapists design the most suitable treatment for each patient. At the same time, the results obtained are a source of clinical evidence to improve the accuracy and quality of our rehabilitation system. Figure 1 shows the diagram of the system. This system is composed of four main modules: image-based extraction of parameters, theoretical modeling, classification and co-registration and visualization module.

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El ceremonial para la investidura como Doctores Honoris Causa por la Universidad de Zaragoza de los profesores Enrique Alarcón Álvarez, Donald S. Scott y Tilo Pfeifer consta de una primera parte de elogios a los Doctorandos seguida por el ceremonal de investidura, y finaliza con los discursos pronunciados por los nuevos doctores. El Dr. D. Manuel Doblaré Castellano realiza el elogio del Dr. D. Enrique Alarcón Álvarez ; el Dr. D. Fernando Torres Leza el del Dr. D. Tilo Pfeifer y el Dr. D. Jesús Arauzo Pérez el del Dr. D. Donald S. Scott.

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Sean mis primeras palabras de agradecimiento a la Universidad Carlos III y en particular a los Departamentos de Mecánica de los Medios Continuos y de Matemáticas por el honor concedido al otorgarme el grado de Doctor. Honor debido, más que a méritos propios, a la amistad con que siempre me han distinguido el equipo rectoral, y los compañeros de los Departamentos citados especialmente los profesores Carlos Navarro y Francisco Marcellán con los que he tenido la fortuna de compartir ideales de enseñanza e investigación. La Universidad Carlos III fue creada en un esfuerzo por redistribuir los nuevos núcleos culturales en zonas tradicionalmente utilizadas como ciudades-dormitorio, contribuir a su desarrollo, descentralizar los focos de saber establecidos y provocar la competencia intelectual mediante la incorporación de profesores jóvenes y en posesión de experiencia internacional. Todo lo ha cumplido con exceso en las diferentes ramas del saber a que se dedica y ello, unido a una intensa actividad cultural paralela, la ha transformado en uno de los polos más atractivos para la juventud estudiosa y el mundo científico de la Comunidad de Madrid. En la medida de mis posibilidades y desde su fundación he colaborado con la Universidad en la búsqueda de profesores adecuados y en el análisis de la evolución de sus grupos de ingeniería. Si antes la motivación estribaba en la curiosidad intelectual ante una experiencia tan interesante como el desarrollo ex novo de una Universidad, ahora mi interés estará reforzado por el agradecimiento a esta distinción y por la deuda de gratitud a la que sólo puedo corresponder ofreciendo públicamente mi disponibilidad a colaborar con aquélla en lo que se considere pueda ser útil.

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The authors present a very interesting criterion for choosing a rectangular foundation.The writers should like to point out that the obtention of minimum area can be reduced to the problem of finding the minimum of x*+y*, subjected to the condition x*.y*=k2 whose solution is evidently x*=y*=k

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Enrique Alarcón Álvarez responde a diversas preguntas sobre su vocación técnica y sus comienzos en el ejercicio de su profesión, su percepción de la Real Academia de Ingeniería y su papel en la misma, así como otros aspectos relativos a los Colegios Profesionales, el Espacio Europeo de Educación Superior y la situación de la ingeniería en España. Ya que en los momentos en que se realiza la entrevista es el Presidente de la Real Academia de Ingeniería muchas preguntas giran respecto a esta institución: las iniciativas surgidas en la década de los 90 que culminaron con su creación, los fines fundamentales a partir de los cuáles se crea y se estructura, sus relaciones con el ámbito docente, colegial, empresarial y con otras instituciones similares a nivel internacional.

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This paper presents the design, development and first evaluation of an algorithm, named Intelligent Therapy Assistant (ITA), which automatically selects, configures and schedules rehabilitation tasks for patients with cognitive impairments after an episode of Acquired Brain Injury. The ITA is integrated in "Guttmann, Neuro Personal Trainer" (GNPT), a cognitive tele-rehabilitation platform that provides neuropsychological services.