Research has shown the ineffectiveness of video surveillance operators in detecting crimes through security cameras, which is a challenge due to their physical limitations. On the other hand, it was shown that computer vision, although promising, faces difficulties in real-time crime detection due to the large amount of data needed to build reliable models. This study presents three key innovations: a gun dataset extracted from the Grand Theft Auto V game, a computer vision model trained on this data, and a video surveillance application that employs the model for automatic gun crime detection. The main challenge was to collect images representing various scenarios and angles to reinforce the computer vision model. The video editor of the Grand Theft Auto V game was used to obtain the necessary images. These images were used to train the model, which was implemented in a desktop applicat...

Se hace una revisión descriptiva, y retrospectiva de 277 pacientes con diagnóstico de fasciolosis. Estos fueron atendidos en el Hospital Nacional Cayetano Heredia entre 1970-2002; 240 (86.6%) presentaron la fase crónica y 37 (13.3%) la forma aguda. El grupo de 20-29 años fue el más afectado (24%). Los principales lugares de infestación pertenecen a los valles interandinos de Lima, Ancash y Junín. De 277 pacientes, los síntomas principales fueron: dolor abdominal en (236%), naúseas y/o vómitos en (106%), y diarrea (100%); de los signos físicos principales: hepatomegalia (56%), palidez en (44%) y fiebre en (23%). La eosinofilia se presentó en 47% (80 de 169 casos), aumento de fosfatasa alcalina en 38/82 (46%) y anemia en 52/169 (31%).