AIMC Topic: Brazil

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An expert system model for mapping tropical wetlands and peatlands reveals South America as the largest contributor.

Global change biology May 9, 2017
Wetlands are important providers of ecosystem services and key regulators of climate change. They positively contribute to global warming through their greenhouse gas emissions, and negatively through the accumulation of organic material in histosols...
Expert Systems Brazil Climate Change Africa Wetlands Indonesia Asia
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A Fuzzy mathematical model to estimate the effects of global warming on the vitality of Laelia purpurata orchids.

Mathematical biosciences Mar 18, 2017
This study aimed to develop a fuzzy mathematical model to estimate the impacts of global warming on the vitality of Laelia purpurata growing in different Brazilian environmental conditions. In order to develop the mathematical model was considered as...
Sunlight Global Warming Darkness Crop Production Fuzzy Logic Humidity Orchidaceae Temperature Brazil
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Genetic Variation in CD36 Is Associated with Decreased Fat and Sugar Intake in Obese Children and Adolescents.

Journal of nutrigenetics and nutrigenomics Feb 25, 2017
BACKGROUND/AIMS: Taste is recognized as an important predictor of food choices. Thus, polymorphisms in genes encoding taste receptors may explain the variability in food preference and intake. Here, we aimed to determine whether genetic variation in ...
CD36 Antigens Taste Perception Dietary Fats Dietary Sugars Eating Food Preferences Feeding Behavior Cross-Sectional Studies Genetic Association Studies Adolescent Male Pediatric Obesity Child Brazil Polymorphism, Single Nucleotide Genetic Predisposition to Disease Humans Genotype Female Risk Factors
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Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability.

Genetics and molecular research : GMR Nov 3, 2016
Cowpea (Vigna unguiculata) is grown in three Brazilian regions: the Midwest, North, and Northeast, and is consumed by people on low incomes. It is important to investigate the genotype x environment (GE) interaction to provide accurate recommendation...
Genotype Seeds Analysis of Variance Vigna Environment Neural Networks, Computer Phenotype Brazil
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Modeling the reflection of Photosynthetically active radiation in a monodominant floodable forest in the Pantanal of Mato Grosso State using multivariate statistics and neural networks.

Anais da Academia Brasileira de Ciencias Aug 15, 2016
The study of radiation entrance and exit dynamics and energy consumption in a system is important for understanding the environmental processes that rule the biosphere-atmosphere interactions of all ecosystems. This study provides an analysis of the ...
Neural Networks, Computer Forests Seasons Wetlands Multivariate Analysis Wind Brazil Time Factors Radiation Humidity Rain Photosynthesis
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Feature Extraction and Machine Learning for the Classification of Brazilian Savannah Pollen Grains.

PloS one Jun 8, 2016
The classification of pollen species and types is an important task in many areas like forensic palynology, archaeological palynology and melissopalynology. This paper presents the first annotated image dataset for the Brazilian Savannah pollen types...
Machine Learning Brazil Grassland Pollen
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Artificial Intelligence Procedures for Tree Taper Estimation within a Complex Vegetation Mosaic in Brazil.

PloS one May 17, 2016
Tree stem form in native tropical forests is very irregular, posing a challenge to establishing taper equations that can accurately predict the diameter at any height along the stem and subsequently merchantable volume. Artificial intelligence approa...
Geography Neural Networks, Computer Models, Theoretical Artificial Intelligence Forests Algorithms Trees Ecosystem Brazil
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Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil.

Medical & biological engineering & computing Mar 25, 2016
Pulmonary tuberculosis (PTB) remains a worldwide public health problem. Diagnostic algorithms to identify the best combination of diagnostic tests for PTB in each setting are needed for resource optimization. We developed one artificial neural networ...
Predictive Value of Tests Models, Biological Tuberculosis, Pulmonary Male Middle Aged Brazil Humans Neural Networks, Computer Adult Sensitivity and Specificity Female Hospitalization
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Development of a quantitative PCR for the detection of Rangelia vitalii.

Veterinary parasitology Dec 28, 2015
The aim of this study was to develop and validate a SYBR Green qPCR assay to detect and quantify a fragment of the 18S rRNA gene of Rangelia vitalii in canine blood. Repeatability of the qPCR was determined by the intra- and inter-assay variations. T...
Sensitivity and Specificity Animals Veterinary Medicine Dog Diseases Brazil Piroplasmida RNA, Ribosomal, 18S Real-Time Polymerase Chain Reaction Protozoan Infections, Animal Dogs
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Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.

Nutrition research (New York, N.Y.) Dec 23, 2015
We hypothesized that dietary total fiber intake may be less than recommendations and that the intake of total, soluble, and insoluble fiber may be associated with demographic, lifestyle, and socioeconomic factors. Data were drawn from the Health Surv...
Dietary Fiber Sex Factors Income Adolescent Aged, 80 and over Smoking Humans Socioeconomic Factors Life Style Female Adult Body Mass Index Aged Cross-Sectional Studies Age Factors Middle Aged Male Diet Brazil
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