142 research outputs found

    Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning

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    Transferring knowledge in cross-domain reinforcement learning is a challenging setting in which learning is accelerated by reusing knowledge from a task with different observation and/or action space. However, it is often necessary to carefully select the source of knowledge for the receiving end to benefit from the transfer process. In this article, we study how to measure the similarity between cross-domain reinforcement learning tasks to select a source of knowledge that will improve the performance of the learning agent. We developed a semi-supervised alignment loss to match different spaces with a set of encoder-decoders, and use them to measure similarity and transfer policies across tasks. In comparison to prior works, our method does not require data to be aligned, paired or collected by expert policies. Experimental results, on a set of varied Mujoco control tasks, show the robustness of our method in effectively selecting and transferring knowledge, without the supervision of a tailored set of source tasks.Comment: 30 pages, 7 figure

    High level 3D structure extraction from a single image using a CNN-based approach

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    High-Level Structure (HLS) extraction in a set of images consists of recognizing 3D elements with useful information to the user or application. There are several approaches to HLS extraction. However, most of these approaches are based on processing two or more images captured from different camera views or on processing 3D data in the form of point clouds extracted from the camera images. In contrast and motivated by the extensive work developed for the problem of depth estimation in a single image, where parallax constraints are not required, in this work, we propose a novel methodology towards HLS extraction from a single image with promising results. For that, our method has four steps. First, we use a CNN to predict the depth for a single image. Second, we propose a region-wise analysis to refine depth estimates. Third, we introduce a graph analysis to segment the depth in semantic orientations aiming at identifying potential HLS. Finally, the depth sections are provided to a new CNN architecture that predicts HLS in the shape of cubes and rectangular parallelepipeds

    Calidad de vida y autocuidado en adultos mayores de un Asentamiento humano. Trujillo, 2022

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    La presente investigación tuvo como objetivo determinar la relación entre la calidad de vida y el autocuidado en los adultos mayores del asentamiento humano Bendición de Dios, El Porvenir, Trujillo 2022. Estudio de tipo básico, diseño no experimental, de nivel descriptivo correlacional; con una muestra de 104 adultos mayores. Se utilizó el cuestionario WHOQOL-BREF y la Escala Valoración de Agencia de Autocuidado (ASA), validado mediante juicio de expertos y una prueba piloto a 29 adultos mayores obteniéndose un coeficiente de alfa de Cronbach de 0.816. Los resultados respecto a la calidad de vida fueron de nivel medio en un 67%, nivel bajo 23% y alto con un 10%; en cuanto al autocuidado fue de nivel regular 67%, nivel bajo 23% y nivel alto con un 10%; existiendo una correlación significativa entre la calidad de vida y el autocuidado (rho = 0.839 y Sig.= 0.00). Se concluyó que en los adultos mayores predominó una calidad de vida y autocuidado en nivel medio y que ambas variables guardan una relación estadistica significativ

    Estudio comparativo del tratamiento del aneurisma de aorta abdominal mediante cirugía abierta y cirugía endovascular

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    Contexto: El aneurisma de aorta abdominal consiste en la dilatación en más del 50% del diámetro arterial. De todos ellos, los más frecuentes son los localizados a nivel infrarrenal, con una prevalencia aproximada del 4% en los mayores de 50 años (predominantemente varones). La mayoría de ellos son asintomáticos, aunque su complicación más grave es la ruptura del mismo, con una mortalidad cercana al 80%. Problemas: El tratamiento precoz permite prevenir la rotura de la pared arterial y, por lo tanto, disminuir la mortalidad asociada a esta patología. La cirugía abierta ha constituido desde siempre el tratamiento de elección, sin embargo esta técnica también conlleva una morbi-mortalidad elevada. El desarrollo de técnicas endovasculares permite realizar la exclusión del aneurisma mediante la implantación de una endoprótesis de forma menos invasiva, y por lo tanto, con un menor riesgo quirúrgico. Sin embargo, esta técnica no está indicada en todos los pacientes, ya que dicho tratamiento dependerá de una serie de factores como la edad y las características anatómicas del aneurisma. Objetivos de la propuesta: Realizar un estudio comparativo entre los pacientes tratados mediante cirugía abierta o cirugía endovascular en los últimos 5 años. Realizaremos un análisis epidemiológico de los factores de riesgo asociados a esta patología y analizaremos las complicaciones asociadas a dichas técnicas quirúrgicas a corto y largo plazo

    Description of a hamartoma-type odontoma in Angelfish (Pterophyllum scalare)

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    Archivo de memoriaFish present the same variety of tumors as described in mammals and birds. Odontogenic tumors are related to alterations in epithelial and/or mesenchymal tissues involved in the formation and development of teeth. Histologically, the odontoma is a tumor characterized by abortive tooth formations and dental tissues (i.e. enamel, dentin, and cementum) that are normally formed but present a more or less disorganized pattern. In small fish species, odontogenic tumors have almost exclusively been described in angelfish (Pterophyllum scalare) and ocellaris clownfish (Amphiprion ocellaris). These tumors are macroscopically characterized as a nodular mass located in the frontal regions of the mouth. In angelfish these tumors have been described only as individual cases either as lip fibroma (in captive specimens) or as ameloblastoma (in wild specimens), but in this report we describe the occurrence of tumors in the frontal region of the mouth in a group of twenty aquarium angelfish.Conacyt, proyecto 287537 (UAEM 4618-2018-C

    Pulmonary artery mycotic aneurism owing to aspergillus in SARS-CoV-2 convalescent: a case report and literature review

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    Invasive aspergillosis is a severe illness described in immune-compromised and critically ill non-immuno-compromised patients. Aspergillosis and COVID-19 co-infection cases harbor multiple unfavorable prognostic factors, with a 44% mortality versus 19% without aspergillosis. We presented the case of a 61-year-old man known with hypertension, diabetes, and smoking that went through COVID-19 infection, during the convalescent period presented multiple hemoptoic events due to A. fumigatus mycotic pseudoaneurysm, successfully resolved by selective angioembolization. Selective angioembolization is an effective alternative for high surgical risk due to comorbidities in the treatment of pulmonary mycotic aneurism
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