Techniques Network
Mostrando 1-12 de 406 artigos, teses e dissertações.
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1. High-throughput phenotyping as an auxiliary tool in the selection of corn hybrids for agronomic traits
ABSTRACT High-throughput phenotyping (HTP) using vegetation indices (VIs) is an important data source for managing plant breeding programs and can be a promising tool in indirect selection. This study hypothesized that VIs are correlated with agronomic traits in corn, and therefore, HTP can be an auxiliary tool for selecting superior genotypes. The objective
Revista Ceres. Publicado em: 2023
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2. Recent dengue virus infection: epidemiological survey on risk factors associated with infection in a medium-sized city in Mato Grosso
ABSTRACT BACKGROUND: Dengue is considered to be the most important arbovirus worldwide, with important complications that increase its lethality. In Brazil, an endemic country, the disease reaches significant incidence levels, with occurrences of serious cases and high costs of hospitalizations for its treatment. OBJECTIVE: To analyze risk factors among in
Sao Paulo Medical Journal. Publicado em: 2022
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3. Anais Brasileiros de Dermatologia: 2021-2025 Term. Work and Challenges
Abstract The technological advancement of the pharmaceutical industry, resulting from the techniques of molecular biology and expansion of the knowledge of immunopathogenesis, has modified the therapeutic arsenal used in dermatology. Scientific research and regulatory standards cause drug costs to rise, thus making their use impossible in most public policie
An. Bras. Dermatol.. Publicado em: 2021-03
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4. Socioeconomic impact of high-cost drugs in Brazilian dermatology. Legal and financial aspects, and impact on clinical practice
Abstract The technological advancement of the pharmaceutical industry, resulting from the techniques of molecular biology and expansion of the knowledge of immunopathogenesis, has modified the therapeutic arsenal used in dermatology. Scientific research and regulatory standards cause drug costs to rise, thus making their use impossible in most public policie
An. Bras. Dermatol.. Publicado em: 2021-03
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5. Forecasting mass and metallurgical balance at a gold processing plant using modern multivariate statistics
Abstract Knowing the quantity and the quality of products and tailings generated by a beneficiation plant, even before ore processing, can make the mining operations more sustainable, more profitable, and safer. To forecast these values, it is necessary to submit samples to batch tests which mimic the processing workflow used on an industrial scale. Then, th
REM, Int. Eng. J.. Publicado em: 2020-12
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6. Open stope stability assessment through artificial intelligence
Abstract Underground mining is a set of methods that allows the extraction of ore in depth, ensuring sustainability and economic viability. One of the problems that arise in underground mine operations is open stope stability. The method for assessing stabil ity of open stopes is the stability graph proposed by Mathews et al. (1981). It is possible to estima
REM, Int. Eng. J.. Publicado em: 2020-09
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7. Efficiency of electricity distribution companies
Abstract Purpose After assessing papers on efficiency, most of the studies available are focused on the analysis of efficiency measures, without providing a deep discussion of the factors that determine efficiency. This study aims to evaluate the efficiency of Brazilian electricity distribution companies based on a structural model that enables the identifi
RAUSP Manag. J.. Publicado em: 2020-06
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8. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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9. Prediction of restrained shrinkage crack width of slag mortar composites using data mining techniques
ABSTRACT The purpose of this study is to develop data mining models to predict restrained shrinkage crack widths of slag mortar cementitious composites. A database published by BILIR et al. [1] was used to develop these models. As a modelling tool R environment was used to apply these data mining (DM) techniques. Several algorithms were tested and analyzed u
Matéria (Rio J.). Publicado em: 25/11/2019
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10. Aplicação de análise multivariada no estudo da frequência de amostragem e do número de estações de monitoramento de qualidade da água
RESUMO O cerne do presente trabalho consistiu em aplicar ferramentas de análise exploratória multivariada objetivando avaliar o número de estações de monitoramento de qualidade da água e a frequência de amostragem. Para tal, utilizou-se banco de dados disponibilizado pelo Instituto Mineiro de Gestão das Águas (IGAM) referente à Bacia do Rio das Vel
Eng. Sanit. Ambient.. Publicado em: 25/11/2019
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11. Perception and knowledge about oral health of caregivers of children with microcephaly
RESUMO Objetivo: Compreender a percepção e o conhecimento das cuidadoras de crianças com microcefalia sobre cuidados de saúde bucal Métodos: Trata-se de um estudo qualitativo, com método pesquisa-ação, no qual se adotou como técnicas para coleta de dados e intervenção as entrevistas semiestruturadas - diagnóstica e avaliativa - e oficina de sa�
RGO, Rev. Gaúch. Odontol.. Publicado em: 28/10/2019
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12. Desfecho dos casos de tuberculose em pessoas com HIV: subsídios para intervenção
Resumo Objetivo Analisar os aspectos associados ao desfecho dos casos de tuberculose nas pessoas que vivem com HIV. Métodos Estudo transversal, realizado entre 2010 a 2014 em um município de grande porte localizado no interior do estado de São Paulo, o qual é considerado prioritário para o controle da tuberculose. Utilizou-se dados secundários coleta
Acta paul. enferm.. Publicado em: 10/10/2019