Models To Predict
Mostrando 13-24 de 667 artigos, teses e dissertações.
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13. USE OF AIC AND BIC IN DESORPTION ISOTHERMS OF TAMARIND SEEDS (Tamarindus indica L.)
ABSTRACT The knowledge of hygroscopicity is essential for the storage of tamarind seeds, but there is a limitation of a judicious statistical parameter to define the best mathematical model to adjust the isotherms of plant products. Therefore, this study aimed to determine the desorption isotherms of tamarind seeds and test the Akaike information criterion (
Eng. Agríc.. Publicado em: 2020-08
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14. Low expression of microRNA-328 can predict sepsis and alleviate sepsis-induced cardiac dysfunction and inflammatory response
Sepsis often leads to cardiac dysfunction and inflammation. This study investigated the clinical value of microRNA-328 (miR-328) in sepsis and its role in cardiac dysfunction and inflammation caused by sepsis. The expression level of miR-328 in the serum of the subjects was detected by qRT-PCR. Receiver operating characteristic (ROC) curve measured the diagn
Braz J Med Biol Res. Publicado em: 2020-08
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15. Fast Verification of Buffalo’s Milk Authenticity by Mid-Infrared Spectroscopy, Analytical Measurements and Multivariate Calibration
Mid-infrared spectroscopy (MID), chemical composition and physicochemical characteristics associated with chemometrics were used to rapidly detect and quantify the amount of cow’s milk added in buffalo’s milk. A total of 165 samples, divided into buffalo’s milk, buffalo’s milk added with cow’s milk (10 to 90%) and cow’s milk were evaluated to obt
J. Braz. Chem. Soc.. Publicado em: 2020-07
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16. Prediction of quality parameters of food residues using NIR spectroscopy and PLS models based on proximate analysis
Abstract The real-time prediction in biorefinery industries has become essential. Models using partial least square regression (PLS) were developed to predict moisture, ash, volatile matter, fixed carbon and organic matter of coconut and coffee residues. In this study, 49 samples were collected and near infrared spectroscopy were applied to predict moisture,
Food Sci. Technol. Publicado em: 2020-06
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17. THE ROLE OF CHAR FORMATION IN EQUILIBRIUM MODELING OF GASIFICATION PROCESSES
ABSTRACT This work aims to develop and validate a model based on chemical equilibrium to predict the composition of syngas produced by gasification of woody biomass (sawdust). The model uses Gibbs Energy minimization to evaluate the composition of the system in chemical equilibrium. The results are validated by comparison between experimental data from a gas
Eng. Agríc.. Publicado em: 2020-04
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18. Progresso da queima das pontas das folhas da cebola sob diferentes programas de aplicação de fungicidas
RESUMO A queima das pontas das folhas da cebola, causada por Botrytis squamosa, é controlada por meio de pulverizações foliares com fungicidas seguindo um calendário fixo, sem considerar o progresso da doença. O regime de pulverização baseado em um sistema de previsão pode prever seu progresso e com isso possibilitar a redução do número de pulveri
Summa phytopathol.. Publicado em: 17/01/2020
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19. Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
RESUMO. O presente trabalho tem como objetivo estudar a eficácia da aplicação do Sistema de Triagem de Manchester para melhorar o fluxo de pacientes em um hospital brasileiro possibilitando obter um serviço mais acolhedor e decisivo. Desta forma, técnicas de análise de sobrevivência são aplicadas com base em modelos de regressão paramétricos cujo o
TEMA (São Carlos). Publicado em: 20/12/2019
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20. PREDIÇÃO DE CENÁRIO FUTURO UTILIZANDO AUTÔMATOS CELULARES E CADEIAS DE MARKOV EM ÁREA DE EXPANSÃO DA SILVICULTURA SOBRE O CERRADO BRASILEIRO
Resumo Os modelos preditivos para detecção de mudanças na paisagem tem sido utilizados como instrumento relevante de aporte ao planejamento e análise ambiental. Diversos modelos para simulação de cenários futuros coexistem na literatura, contudo o método que combina as Cadeias de Markov com os autômatos celulares tem demonstrado resultados excelente
Mercator (Fortaleza). Publicado em: 09/12/2019
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21. Austenitic Grain Size Prediction in Hot Forging of a 20MnCr5 Steel by Numerical Simulation Using the JMAK Model for Industrial Applications
Yield strength and toughness in steels are directly associated with hot forging processes, especially by controlling austenitic grain size and cooling conditions. The phenomenological JMAK model in macroscale has been applied in different material classes to predict grain size after hot forming. However, on an industrial application, there is still a lack of
Mat. Res.. Publicado em: 05/12/2019
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22. Do climate changes alter the distribution and transmission of malaria? Evidence assessment and recommendations for future studies
Abstract Malaria, a mosquito-borne infectious disease, is considered a significant global health burden. Climate changes or different weather conditions may impact infectious diseases, specifically those transmitted by insect vectors and contaminated water. Based on the current predictions for climate change associated with the increase in carbon dioxide con
Rev. Soc. Bras. Med. Trop.. Publicado em: 02/12/2019
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23. Feedstock and inoculum characteristics and process parameters as predictors for methane yield in mesophilic solid-state anaerobic digestion
Abstract: In this study, several linear regression models were tested to predict the cumulative 30-day methane yield produced in mesophilic solid-state anaerobic digestion, employing diverse lignocellulosic biomass sources. Data collected from 13 studies were utilized, totalizing 86 experimental points, divided into regression and validation. Models containi
An. Acad. Bras. Ciênc.. Publicado em: 28/11/2019
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24. 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