882 resultados para Computer-assisted instruction
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Introducción: El éxito de la artroplastia total de cadera depende de la orientación del componente acetabular; como alternativa para su corrección se han generado diferentes herramientas quirúrgicas, una de ella se asienta en los sistemas de cirugía asistidos por computador, el cual corrige y perfecciona la orientación de la copa acetabular. Objetivo: Comparar la inclinación y la anteversión de la copa acetabular implantadas por técnica convencional versus la realizada por cirugía asistida por computador Materiales y Métodos: Estudio descriptivo de comparación de dos cohortes de pacientes. Se evaluaron pacientes sometidos a reemplazo total de cadera en hospital Santa Clara desde Enero del 2009 a Diciembre del 2009 determinando el ángulo de inclinación acetabular y la anteversión acetabular, según las medidas establecidas en radiografía convencional postoperatoria. Resultados: No se encontraron diferencias estadísticamente significativas en la comparación de las puntuaciones promedio en anteversión e inclinación acetabular cuando se realiza cirugía tradicional o con la tecnología de navegación por computador. Conclusiones: El uso de navegadores por computador en la cirugía de reemplazo de cadera es especialmente útil para ortopedistas en entrenamiento y para aquellas situaciones donde la posición de los componentes acetabulares pueda garantizar buen resultado a largo plazo
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The educational software and computer assisted learning has been used in schools to promote the interest of students in new ways of thinking and learning so it can be useful in the reading learning process. Experimental studies performed in preschool and school age population have shown a better yield and a positive effect in reading, mathematics and cognitive skills in children who use educative software for fi fteen to twenty minutes a day periods. The goal of this study was to evaluate the progression in verbal, visual-motor integration and reading skills in children who were using educational software to compare them with a group in traditional pedagogic methodology. Results: All children were evaluated before using any kind of pedagogic approach. Initial evaluation revealed a lower–age score in all applied test. 11% of them were at high risk for learning disorders. There was a second evaluation that showed a significant positive change compared with the fi rst one. Nevertheless, despite some items, there were no general differences comparing the groups according if they were using or not a computer. In conclusion, policies on using educational software and computers must be revaluated due to the fact that children in our public schools come from a deprived environment with a lack of opportunities to use technologies.
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Introducción: En la práctica neuroquirurgica el uso de tornillos pediculares torácicos ha venido en aumento en el tratamiento de diferentes patologías de la espinales. Desde la descripción original, se confirma la adecuada canalización del trayecto mediante el uso del palpador, sin embargo la validez y seguridad de dicho instrumento es limitada y existe riesgo de complicaciones complejas. En este estudio se comprueba la seguridad y validez del uso del palpador para diagnosticar la integridad del trayecto pedicular torácico. Metodología: Se canalizaron pedículos torácicos en especímenes cadavéricos los cuales de manera aleatoria se clasificaron como normales (íntegros) o anormales (violados). Posteriormente cuatro cirujanos de columna, con diferentes grados de experticia, evaluaron el trayecto pedicular. Se realizaron estudios de concordancia obteniendo coeficiente Kappa, porcentaje total de precisión, sensibilidad, especificidad, VPP y VPN y el área bajo la curva ROC para determinar la precisión de la prueba. Resultados: La precisión y validez en el diagnostico del trayecto pedicular y localización del sitio de violación tienen relación directa con la experiencia y entrenamiento del cirujano, el evaluador con mayor experiencia obtuvo los mejores resultados. El uso del palpador tiene una buena precisión, área bajo la curva ROC 0.86, para el diagnostico de las lesiones pediculares. Discusión: La evaluación precisa del trayecto pedicular, presencia o ausencia de una violación, es dependiente del grado de experiencia del cirujano, adicionalmente la precisión diagnostica de la violación varía según la localización de esta.
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Número homenaje a: Isabel Azcárate Ristori, Carmen García Surrallés, Carmen Pereda del Collado y Máximo Pajares Barón. Resumen basado en el de la revista
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En este ensayo se habla de la importancia del ordenador, de la informática y del uso didáctico del ordenador, para la educación. Se repasa la historia del primer ordenador y del uso de la informática para enlazar con el fenómeno de la enseñanza asistida por ordenador, Computer Assited Instruction (CAI) y los proyectos educativos que se desarrollaron en torno a esta idea. En España, el Ministerio de Educación y Ciencia, en colaboración con la Unesco, elaboró un proyecto de implantación de CAI, cuyo objetivo era la formación del profesorado y el establecimiento de un marco estructural que permitiera llevar a cabo innovaciones pedagógicas y la introducción del sistema CAI en los centros de enseñanza de los distintos niveles.
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Resumen basado en el de la publicación
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Monográfico con el título: 'Nuevas perspectivas en la sección de idiomas de la Prueba de Acceso a la Universidad'. Resumen basado en el de la publicación
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Resumen basado en el de la publicaci??n
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For fifty years, computer chess has pursued an original goal of Artificial Intelligence, to produce a chess-engine to compete at the highest level. The goal has arguably been achieved, but that success has made it harder to answer questions about the relative playing strengths of man and machine. The proposal here is to approach such questions in a counter-intuitive way, handicapping or stopping-down chess engines so that they play less well. The intrinsic lack of man-machine games may be side-stepped by analysing existing games to place computer engines as accurately as possible on the FIDE ELO scale of human play. Move-sequences may also be assessed for likelihood if computer-assisted cheating is suspected.
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Objective: This paper presents a detailed study of fractal-based methods for texture characterization of mammographic mass lesions and architectural distortion. The purpose of this study is to explore the use of fractal and lacunarity analysis for the characterization and classification of both tumor lesions and normal breast parenchyma in mammography. Materials and methods: We conducted comparative evaluations of five popular fractal dimension estimation methods for the characterization of the texture of mass lesions and architectural distortion. We applied the concept of lacunarity to the description of the spatial distribution of the pixel intensities in mammographic images. These methods were tested with a set of 57 breast masses and 60 normal breast parenchyma (dataset1), and with another set of 19 architectural distortions and 41 normal breast parenchyma (dataset2). Support vector machines (SVM) were used as a pattern classification method for tumor classification. Results: Experimental results showed that the fractal dimension of region of interest (ROIs) depicting mass lesions and architectural distortion was statistically significantly lower than that of normal breast parenchyma for all five methods. Receiver operating characteristic (ROC) analysis showed that fractional Brownian motion (FBM) method generated the highest area under ROC curve (A z = 0.839 for dataset1, 0.828 for dataset2, respectively) among five methods for both datasets. Lacunarity analysis showed that the ROIs depicting mass lesions and architectural distortion had higher lacunarities than those of ROIs depicting normal breast parenchyma. The combination of FBM fractal dimension and lacunarity yielded the highest A z value (0.903 and 0.875, respectively) than those based on single feature alone for both given datasets. The application of the SVM improved the performance of the fractal-based features in differentiating tumor lesions from normal breast parenchyma by generating higher A z value. Conclusion: FBM texture model is the most appropriate model for characterizing mammographic images due to self-affinity assumption of the method being a better approximation. Lacunarity is an effective counterpart measure of the fractal dimension in texture feature extraction in mammographic images. The classification results obtained in this work suggest that the SVM is an effective method with great potential for classification in mammographic image analysis.
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The recent increase in short messaging system (SMS) text messaging, often using abbreviated, non-conventional ‘textisms’ (e.g. ‘2nite’), in school-aged children has raised fears of negative consequences of such technology for literacy. The current research used a paradigm developed by Dixon and Kaminska, who showed that exposure to phonetically plausible misspellings (e.g. ‘recieve’) negatively affected subsequent spelling performance, though this was true only with adults, not children. The current research extends this work to directly investigate the effects of exposure to textisms, misspellings and correctly spelledwords on adults’ spelling. Spelling of a set of key words was assessed both before and after an exposure phase where participants read the same key words, presented either as textisms (e.g. ‘2nite’), correctly spelled (e.g. ‘tonight’) or misspelled (e.g. 'tonite’)words. Analysis showed that scores decreased from pre- to post-test following exposure to misspellings, whereas performance improved following exposure to correctly spelled words and, interestingly, to textisms. Data suggest that exposure to textisms, unlike misspellings, had a positive effect on adults’ spelling. These findings are interpreted in light of other recent research suggesting a positive relationship between texting and some literacy measures in school-aged children.
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BACKGROUND & AIMS: The mechanisms underlying abdominal pain perception in irritable bowel syndrome (IBS) are poorly understood. Intestinal mast cell infiltration may perturb nerve function leading to symptom perception. We assessed colonic mast cell infiltration, mediator release, and spatial interactions with mucosal innervation and their correlation with abdominal pain in IBS patients. METHODS: IBS patients were diagnosed according to Rome II criteria and abdominal pain quantified according to a validated questionnaire. Colonic mucosal mast cells were identified immunohistochemically and quantified with a computer-assisted counting method. Mast cell tryptase and histamine release were analyzed immunoenzymatically. Intestinal nerve to mast cell distance was assessed with electron microscopy. RESULTS: Thirty-four out of 44 IBS patients (77%) showed an increased area of mucosa occupied by mast cells as compared with controls (9.2% +/- 2.5% vs. 3.3 +/- 0.8%, respectively; P < 0.001). There was a 150% increase in the number of degranulating mast cells (4.76 +/- 3.18/field vs. 2.42 +/- 2.26/field, respectively; P = 0.026). Mucosal content of tryptase was increased in IBS and mast cells spontaneously released more tryptase (3.22 +/- 3.48 pmol/min/mg vs. 0.87 +/- 0.65 pmol/min/mg, respectively; P = 0.015) and histamine (339.7 +/- 59.0 ng/g vs. 169.3 +/- 130.6 ng/g, respectively; P = 0.015). Mast cells located within 5 microm of nerve fibers were 7.14 +/- 3.87/field vs. 2.27 +/- 1.63/field in IBS vs. controls (P < 0.001). Only mast cells in close proximity to nerves were significantly correlated with severity and frequency of abdominal pain/discomfort (P < 0.001 and P = 0.003, respectively). CONCLUSIONS: Colonic mast cell infiltration and mediator release in proximity to mucosal innervation may contribute to abdominal pain perception in IBS patients.
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Monitoring nutritional intake is an important aspect of the care of older people, particularly for those at risk of malnutrition. Current practice for monitoring food intake relies on hand written food charts that have several inadequacies. We describe the design and validation of a tool for computer-assisted visual assessment of patient food and nutrient intake. To estimate food consumption, the application compares the pixels the user rubbed out against predefined graphical masks. Weight of food consumed is calculated as a percentage of pixels rubbed out against pixels in the mask. Results suggest that the application may be a useful tool for the conservative assessment of nutritional intake in hospitals.
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Recent studies showed that features extracted from brain MRIs can well discriminate Alzheimer’s disease from Mild Cognitive Impairment. This study provides an algorithm that sequentially applies advanced feature selection methods for findings the best subset of features in terms of binary classification accuracy. The classifiers that provided the highest accuracies, have been then used for solving a multi-class problem by the one-versus-one strategy. Although several approaches based on Regions of Interest (ROIs) extraction exist, the prediction power of features has not yet investigated by comparing filter and wrapper techniques. The findings of this work suggest that (i) the IntraCranial Volume (ICV) normalization can lead to overfitting and worst the accuracy prediction of test set and (ii) the combined use of a Random Forest-based filter with a Support Vector Machines-based wrapper, improves accuracy of binary classification.