4 research outputs found

    CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction

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    Pedestrian path prediction is an essential topic in computer vision and video understanding. Having insight into the movement of pedestrians is crucial for ensuring safe operation in a variety of applications including autonomous vehicles, social robots, and environmental monitoring. Current works in this area utilize complex generative or recurrent methods to capture many possible futures. However, despite the inherent real-time nature of predicting future paths, little work has been done to explore accurate and computationally efficient approaches for this task. To this end, we propose a convolutional approach for real-time pedestrian path prediction, CARPe. It utilizes a variation of Graph Isomorphism Networks in combination with an agile convolutional neural network design to form a fast and accurate path prediction approach. Notable results in both inference speed and prediction accuracy are achieved, improving FPS considerably in comparison to current state-of-the-art methods while delivering competitive accuracy on well-known path prediction datasets.Comment: AAAI-21 Camera Read

    OCURRENCIA DE ENFERMEDADES GASTROINTESTINALES EN TURISTAS NACIONALES E INTERNACIONALES ENTRE 2014-2018, EN MAZATLAN, SINALOA, MEXICO

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    The objective of this study was to describe the occurrence of gastrointestinal diseases cases related to the practice of gastronomic tourism in Mazatlán, Sinaloa, on the Mexican Pacifi c coast, in a 60 months period of analysis spanning the years 2014-2018. A total of 39 patient clinical records in a health private institution as analysed, 32% are national tourists and 68% international; 71% of the cases were female and 29% male. Of the cases reported in this work, the patients with hypertension were the most vulnerable group. A total 84.6% of the patients were diagnosed with acute infectious gastroenteritis, 5% gastroenterocolitis, 2.6% with intestinal amoebiasis, typhoid fever, rotavirus and food poisoning, respectively. Regarding signs and symptoms, 100% had diarrhoea, 33% dehydration, 41% nausea, 37.5% vomiting, 46% abdominal pain, 20% presented fever. In the coproparasitological examinations, 33.3% had Entamoeba histolytica (Schaudinn, 1903), Salmonella typhi (Salmon, 1885) (2.6%), bacteria (20.0%), Clostridium diffi cile (Hall & O’Toole, 1935). (6.6%), Endolimax nana (Wenyon & O’Connor, 1917) (3.3%) and Entamoeba coli (Echerich, 1885) (3.3%). Th e results indicate that E. histolytica is the most frequent pathogen in the diagnosis of gastrointestinal disease due to seafood consumption in Mazatlán, Sinaloa on the Mexican Pacifi c coast. It is concluded that; a) gastrointestinal diseases are a public health problem; b) eff ective regulations must be adopted to prevent infection; c) people should desist from consuming raw or undercooked shellfi sh in places with poor hygiene; d) the absence of anthropometric data collection limits the analysis of the nutritional status of the population, and e) describes the implications for the tourism sector and public health in Mazatlán, Sinaloa, a coastline society with great regional and gastronomic identity.El presente estudio tuvo por objetivo describir la ocurrencia de casos de enfermedades gastrointestinales, relacionadas a la práctica del turismo gastronómico en el puerto de Mazatlán, Sinaloa, en las costas del Pacífico mexicano, en un periodo de análisis de 60 meses, 2014-2018. De un total de 39 expedientes clínicos (39 pacientes) de una institución de salud privada, el 32% son turistas nacionales y el 68% internacionales. El 71% de los casos femeninos y 29% masculinos. Los pacientes con hipertensión arterial fueron el grupo más vulnerable. El 84.6% de los pacientes fueron diagnosticados con gastroenteritis aguda infecciosa, 5% gastroentero-colitis, 2,6 % con amebiasis intestinal, fiebre tifoidea, rotavirus e intoxicaciones alimentarias, respectivamente. En cuanto a los signos y síntomas, el 100% presenta diarrea, 33% deshidratación, 41% nausea, 37.5% vómito, 46% dolor abdominal, 20% presentó fiebre. En los exámenes coproparasitológicos se encontró que el 33,3% tenía Entamoeba histolytica (Schaudinn, 1903), Salmonella typhi (Salmon, 1885) (2,6%), bacterias (20,0%), Closstridium difficile (Hall & O’Toole, 1935) (6,6%), Endolimax nana (Wenyon & O’Connor, 1917), (3,3%) y Entamoeba coli (Echerich, 1885) (3,3%). Los resultados nos indican que E. histolytica es el agente patógeno más frecuente en los diagnósticos de enfermedad gastrointestinal por consumo de marisco en Mazatlán, Sinaloa en las costas del Pacífico mexicano. Se concluye que; a) las enfermedades gastrointestinales constituyen un problema de salud pública; b) se deben adoptar regulaciones efectivas para prevenir la infección; c) las personas deben abstenerse de consumir mariscos crudos o poco cocidos en lugares de poca higiene; d) la ausencia de la recopilación de datos antropométricos limitan el análisis del estado nutricional de la población, y e) se describen de las implicaciones para el sector turístico y la salud pública en Mazatlán, Sinaloa, por ser una sociedad costera con gran regionalización e identidad gastronómica

    Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic

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    During the first year of the SARS-CoV-2 pandemic in Mexico, more than two million people were infected. In this study, we analyzed full genome sequences from 27 February 2020 to 28 February 2021 to characterize the geographical and temporal distribution of SARS-CoV-2 lineages and identify the most common circulating lineages during this period. We defined six different geographical regions with particular dynamics of lineage circulation. The Northeast and Northwest regions were the ones that exhibited the highest lineage diversity, while the Central south and South/Southeast regions presented less diversity with predominance of a certain lineage. Additionally, by late February 2021, lineage B.1.1.519 represented more than 89% of all circulating lineages in the country
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