EVZ - Escola de Veterinária e Zootecnia
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Item Máquina de aprendizado extremo para predição de ganho médio diário à desmama em bovinos(Universidade Federal de Goiás, 2022-12-20) Lisboa, Giovanna Rodrigues; Bertazzo, Rodrigo Possa; http://lattes.cnpq.br/7503210823802793; Mascioli, Arthur dos Santos; http://lattes.cnpq.br/6557055478323026; Arnhold, Emmanuel; http://lattes.cnpq.br/7156945506134934; Arnhold, Emmanuel; Leite, Carla Daniela Suguimoto; Hellmeister Filho, PauloExtreme Learning Machines, Extreme Machine Learning (EML/IGASE), unlike other Artificial Neural Network (ANN) training algorithms that adjust network parameters through the iterative presentation of training patterns, include intermediate neuron numbers and perform projection random in the hidden layer, in general of high dimensionality in the complex connections with the other variables of direct inputs, the weights are selected in a random way injected and bijected in the complex composite functions, without need of training. The over- sizing of the EML/IGASE becomes necessary for the smoothing of the response, guarantees the capacity of generalization and transfers of complex functions in the temporal series of phenotypic expressions of the animals. The objective of this work is to predict the average weight gain at weaning (GMPD) phenotype as a function of direct variables measured in animals within and between seasons (SF) and farms (FAZ), using EML/IGASE. 8,812 progeny records were used for 11 harvests, descendants of 272 bulls, from 09 farms located in different states of the federation, Mato Grosso (MT), Mato Grosso do Sul (MS), Paraná (PR) and São Paulo (SP). ). The phenotypes studied were weight at weaning (PD), average weight gain at weaning (GMPD), conformation at weaning (CPD), musc ulature at weaning (MPD) and early weaning (PPD). Extreme Machine Learning (EML/IGASE) was able to predict the mean weight gain at weaning (GMPD) phenotype, based on the other variables measured in the animals within and between seasons and farms studied, with low Mean Squared Error (MSE) in the robust interactions and transfers of complex functions from multi-input neural architectures and different levels of environmental attributables to the expressed phenotypes. In the univariate analyzes with the input variable weights at weaning (PD) transferring to the average weight gain at weaning (GMPD) the EML/IGASE performed complex numeric al predictions in 08 productive harvests of the 09 farms, where the Mean Squared Errors (EQM) between predicted and actual variables of GMPD ranged from 0.09 to 13.96%. For the multivariate analyzes with the four input variables weight at weaning (PD), conformation at weaning (CPD), musc ulature at weaning (MPD) and precocity at weaning (PPD) in 09 harvests of the 09 productive farms, the Mean Squared Errors (NDE) between predicted and actual GMPD variables ranged from 0.08 to 26.30%. The complex transfer functions were robust to noise tests up to the second decimal place in the numeric al predictions considered in the study.Item Maus-tratos animais no contexto de violência doméstica na região metropolitana de Goiânia(Universidade Federal de Goiás, 2022-02-03) Soares, Fernanda Bastos; Machado, Ingrid Bueno Atayde; Souza, Tatiana Machiavelli Carmo; http://lattes.cnpq.br/3120018580121934; Jayme, Valéria de Sá; http://lattes.cnpq.br/0603234425928309; Jayme, Valéria de Sá; Modena, Celina Maria; Hellmeister Filho, PauloVeterinary Medicine is one of the professions that integrate the health area. From this assumption, that professionals have the possibility to intervene in situations which cause damage to animal and human health, just as domestic violence and animal abuse. Studies show that individuals who are violent with animals tend to commit violent crimes against people, or people who are violent with others may commit crimes against animals. However, there are few studies within Veterinary Medicine that assess such behaviors and their consequences. This study evaluated the perception of the link between domestic and animal violence, which has a public health character and has closely linked components, as they act as indicators of various social problems, such as domestic violence and social vulnerability. A total of 117 questionnaires were applied, 80 of which were applied to Veterinary Medicine students, 34 to veterinarians and three to women. Data were collected about the crimes of animal abuse and domestic violence, through the Public Security Observatory of the State of Goiás, in which the dynamics between the analyzed crimes was observed, signaling that before the aggression to the human being, the animal is the first victim. It was found that Veterinary Medicine and its professionals are not prepared to combat crimes of animal abuse and, consequently, help to break the cycle of domestic violence, just as the women participating in the research showed that their aggressors have traces of aggression against animals