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Objective: To synthesize studies on the weight and height growth of infants (from 0 to 1 year old) whose mothers used cocaine and / or crack during the gestational period.Method: This is an integrative review that searched for articles with measures of weight, height and / or head circumference, up to the first year of life, in Scopus, Cinahl, Embase, Web of Science, PsycNET and Pubmed and BVS portals.Results: In the initial search, 567 studies, organized by the EndNote® platform, were identified. At the end of reading the materials were included seven studies, published between the years 1992 and 2011, in all of the United States. Exposed infants have lower values in growth measures when compared to the control group, which is more expressive at birth. Over the months, there was approximation in the values between the groups. The pattern of substance use was described in one study only, a factor that directly implies data analysis.Conclusion: According to the literature, the use of cocaine and / or crack during gestation period provides lower weight and height growth outcomes when compared to unexposed, with catch-up occurring between the sixth and twelfth month of life. Objetivo: sintetizar estudos sobre o crescimento pôndero-estatural de lactentes (de 0 até 1 ano) cujas mães fizeram uso de cocaína e/ou crack durante o período gestacional. Materiais e Método: trata-se de uma revisão integrativa que buscou artigos com medidas de peso, estatura e/ou perímetro cefálico, até o primeiro ano de vida, nas bases Scopus, Cinahl, Embase, Web of Science e PsycNET e nos portais Pubmed e BVS.Resultados: na busca inicial, foram identificados 567 estudos, organizados pela plataforma EndNote®. Ao fim da leitura dos materiais, foram incluindo 7 estudos, publicados entre os anos de 1992 e 2011, todos dos Estados Unidos. Os lactentes expostos apresentaram valores menores nas medidas de crescimento, quando comparados a grupo controle, sendo este dado mais expressivo ao nascimento. Com o passar dos meses, ocorreu aproximação nos valores entre os grupos. O padrão de consumo de substâncias foi descrito num estudo somente, fator que implica diretamente na análise dos dados.Conclusão: segundo a literatura, o uso de cocaína e/ou crack durante o período gestacional proporciona desfechos de crescimento pôndero-estatural menores, quando comparados a não expostos, ocorrendo catch-up entre o sexto e o décimo segundo mês de vida.

Submitted by Gustavo de Aquino e Aquino (gustavoaqui@gmail.com) on 2022-02-09T21:12:34Z No. of bitstreams: 1 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Rejected by PPGEE Engenharia El??trica (mestrado_engeletrica@ufam.edu.br), reason: Falta inserir os demais documentos, segue as orienta????es que te enviei. on 2022-02-10T14:04:23Z (GMT) Submitted by Gustavo de Aquino e Aquino (gustavoaqui@gmail.com) on 2022-02-10T19:04:40Z No. of bitstreams: 3 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) 2 - Documenta????o defesa disserta????o gustavo (ATA).pdf: 139490 bytes, checksum: 6059c6bd1c5b0b71b1d3779e1aba41ba (MD5) Rejected by PPGEE Engenharia El??trica (mestrado_engeletrica@ufam.edu.br), reason: Boa tarde! Est?? faltando inserir a Carta de Encaminhamento, a ATA de julgamento falta a assinatura do coordenador. on 2022-02-21T18:05:54Z (GMT) Submitted by Gustavo de Aquino e Aquino (gustavoaqui@gmail.com) on 2022-03-16T11:25:28Z No. of bitstreams: 4 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Approved for entry into archive by PPGEE Engenharia El??trica (mestrado_engeletrica@ufam.edu.br) on 2022-03-16T12:46:37Z (GMT) No. of bitstreams: 4 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Rejected by Divis??o de Documenta????o/BC Biblioteca Central (ddbc@ufam.edu.br), reason: No formul??rio da Ficha catalogr??fica, realizar os seguintes ajustes: a) No campo "??ltimo sobrenome" inserir: "Aquino" ; No campo "Nomes e primeiros sobrenomes", inserir: "Gustavo de Aquino e" ; b) O t??tulo deve come??ar com a primeira letra mai??scula e as demais min??sculas, exceto quando forem siglas ou nomes pr??prios. c) No t??tulo, onde se l?? "le??es", leia-se "les??es" ; d) No campo "Quantidade de folhas, inserir o n??mero da ??ltima folha numerada (88) ; e) Ajustar para CoorientadOR, onde consta CoorientadoRA on 2022-03-16T17:47:28Z (GMT) Submitted by Gustavo de Aquino e Aquino (gustavoaqui@gmail.com) on 2022-03-21T11:59:01Z No. of bitstreams: 4 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Approved for entry into archive by PPGEE Engenharia El??trica (mestrado_engeletrica@ufam.edu.br) on 2022-03-21T12:35:47Z (GMT) No. of bitstreams: 4 Disserta????o_gustavo_imprimir.pdf: 4362672 bytes, checksum: 96894b93e804014d546a5df1ea425494 (MD5) Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Rejected by Divis??o de Documenta????o/BC Biblioteca Central (ddbc@ufam.edu.br), reason: No formul??rio da Ficha catalogr??fica, realizar os seguintes ajustes: a) No campo "??ltimo sobrenome" inserir: Aquino ; No campo "Nomes e primeiros sobrenomes", inserir: Gustavo de Aquino e ; b) O t??tulo deve come??ar com a primeira letra mai??scula e as demais min??sculas, exceto quando forem siglas ou nomes pr??prios. c) No t??tulo, onde se l?? "le??es", leia-se "les??es" ; d) No campo "Quantidade de folhas, inserir o n??mero da ??ltima folha numerada (88) ; e) Ajustar para CoorientadOR, onde consta CoorientadoRA on 2022-03-21T18:03:39Z (GMT) Submitted by Gustavo de Aquino e Aquino (gustavoaqui@gmail.com) on 2022-03-23T15:14:01Z No. of bitstreams: 4 Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Disserta????o Final TEDE.pdf: 4368227 bytes, checksum: e4aed637488a9c9758becc3cadbe0de0 (MD5) Approved for entry into archive by PPGEE Engenharia El??trica (mestrado_engeletrica@ufam.edu.br) on 2022-03-25T18:07:34Z (GMT) No. of bitstreams: 4 Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Disserta????o Final TEDE.pdf: 4368227 bytes, checksum: e4aed637488a9c9758becc3cadbe0de0 (MD5) Approved for entry into archive by Divis??o de Documenta????o/BC Biblioteca Central (ddbc@ufam.edu.br) on 2022-03-28T18:02:40Z (GMT) No. of bitstreams: 4 Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Disserta????o Final TEDE.pdf: 4368227 bytes, checksum: e4aed637488a9c9758becc3cadbe0de0 (MD5) Made available in DSpace on 2022-03-28T18:02:40Z (GMT). No. of bitstreams: 4 Termo de Autoriza????o - Autodep??sito RIU-TEDE (1).pdf: 674524 bytes, checksum: 1046bf28048b5745178ab811f046b888 (MD5) ATA GUSTAVO AQUINO.pdf: 529745 bytes, checksum: 5e90a9c7edb496ec035b3f7f6d6593b3 (MD5) CartaEncaminhamentoAutodep??sito.pdf: 121737 bytes, checksum: 30cfda3630f8ab503dda8e6e1037791e (MD5) Disserta????o Final TEDE.pdf: 4368227 bytes, checksum: e4aed637488a9c9758becc3cadbe0de0 (MD5) Previous issue date: 2020-03-03 FAPEAM - Funda????o de Amparo ?? Pesquisa do Estado do Amazonas Breast cancer can be seen as a worldwide problem, which is responsible for a substantial number of deaths. Diagnosis through image analysis of the lesion is efficient, notably through the use of machine learning techniques. The success achieved in recent years has grown due to the use of convolutional networks. This method is capable of successfully performing computer vision tasks, such as the automatic segmentation of lesions in the most varied modalities of biomedical images. This stage, segmentation, supports later stages of a computer-aided diagnostic imaging system. In this dissertation, the performance of convolutional neural networks with direct acyclic graph architectures in the automatic segmentation of breast lesions in ultrasound images is evaluated. Four convolutional network architectures were implemented and tested, three of them with direct acyclic graphs (DAG) and one sequential. For the development and evaluation of the proposals, two banks of breast ultrasound images (bank A and bank B) were used. Some striking differences between these banks are the size, resolution, and quality of the images. Thus, the images were previously processed and adapted (cropping and resize). The training of these networks with a stop for the number of seasons proved to be unstable. This problem was overcome with the proposal of a training aid function, which allowed us to obtain the best performance point of the model. The best architecture was chosen based on metrics already established in the literature, such as global accuracy and the Dice coefficient. The four architectures tested achieved similar results, with a global accuracy of more than 94% each. The t-student statistical significance test showed that for both databases the best network architecture in the validation was U-net, reaching over 99% of global accuracy for database B and over 96% for the database A. The network with the best performance could be tested, with other input data, and its performance remained the same. It was possible to conclude that the cropping procedure was not crucial for good segmentation accuracy. Besides, the statistical analysis of the performance metrics showed that the use of better resolution images (bank B) did not cause statistically significant performance differences (p

Trata do problema da gestão de de estoques em empresas comerciais no Brasil, apontando o bom potencial de aumento do retorno pobre o investimento a ser proporcionado pela aplicação de técnicas administrativas e de gestão de estoques adequados, com especial destaque para a classificação ABC e o sistema de Revisão periódica. Ilustra aplicação destas técnicas através da apresentação de casos, desenvolve simplificações do modelo adotado e cria tabelas (GA) para facilitar a implementação do sistema proposto.

A presente Dissertação aborda a questão da localização varejista. Trata da temática da localização varejista em zonas urbanas, apresentando uma metodologia e o correspondente algoritmo que possibilitam ter uma visão global das áreas de uma zona urbana que representam possíveis oportunidades de negócio para estabelecimentos de auto-serviço alimentício, por apresentarem a demanda pior atendida pelas lojas instaladas, relativamente às demais áreas dessa zona urbana. Apresenta, ainda, a título de ilustração da aplicação do algoritmo, a situação existente na cidade de Uberlândia, MG.