87 results on '"PREDICTION models"'
Search Results
2. Proposta de algoritmo para desenvolvimento de modelos de previsão: aplicação numa série de dados de uma revenda de tintas.
- Author
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Milnitz, Diego and Johnas Marchi, Jamur
- Abstract
Copyright of GeSec: Revista de Gestao e Secretariado is the property of Sindicato das Secretarias e Secretarios do Estado de Sao Paulo (SINSESP) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
- Full Text
- View/download PDF
3. Optimization of density and durability of pellets using the response surface methodology in ultrasonic vibration-assisted pelleting of corn stover
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Wentao Li, Chenxi Li, Bo Zhang, Guixia Zhou, and Dan Liu
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pellet properties ,process parameters ,prediction models ,crop residues ,Agriculture (General) ,S1-972 - Abstract
ABSTRACT Top-quality pellets can significantly increase density and durability of agricultural residues, reducing logistic costs. However, these pellets depend on numerous parameters, including feedstock properties and production conditions. To ensure high-quality pellets, a single-factor experiment and the response surface methodology were used to investigate the effects of particle size, moisture content, molding pressure, pelleting time, ultrasonic power, and interaction effects between variables on density and durability of pellets for ultrasonic vibration-assisted pelleting of corn stover. The response surface models between variables and response were established. The results showed that all variables affect the density and durability of pellets. An optimal condition for density and durability was obtained, and a further experiment was conducted to validate the values. The results suggested that desirability (0.999) under optimal conditions confirmed the validation of models. The optimal combination of process parameters included particle size of 1.5 mm, moisture content of 10 %, molding pressure of 379 kPa, pelleting time of 80 s, ultrasonic power of 250 W, with values of 1,381.14 kg m–3 and 97.58 % for density and durability of pellets, respectively.
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- 2023
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4. MODELO PREDITIVO PARA GERAÇÃO DE INFORMAÇÕES GERENCIAIS PARA EMPRESAS PATROCINADORAS DE ENTIDADES FECHADAS DE PREVIDÊNCIA COMPLEMENTAR.
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Lúcia Cruz, Vera, Guerra Leone, Rodrigo José, e Silva Filho, Telmo de Menezes, and Ney Matos, Fátima Regina
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PREDICTION models - Abstract
The objective of this study is to carry out a comparative analysis with the application of two models, the Autoregressive Integrated Moving Average (ARIMA) and the Vectorial Autoregression (VAR), in the sponsoring companies of the Entidades Fechadas de Previdência Complementar, listed in Brasil, Bolsa, Balcão (B3). Through a quasi-experimental action, two models were utilized, the Autoregressive Integrated Moving Average (ARIMA) and the Vector Autoregression model (ARV). Based on the predictive results of these models, it was possible to identify that the data run by the ARIMA method did not present a good fit, it was possible to conclude that the model created by ARV was more robust in predicting future situations of the analyzed companies, and that, decisions based on predictive models, pointed to the need to anticipate decisions on the discount rate, the inflation rate, the rate of salary increase and on the guaranteeing assets. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Prediction of live weight in growing hair sheep using the body volume formula
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R. Salazar-Cuytun, R. Portillo-Salgado, R.A. García-Herrera, E. Camacho-Pérez, C.V. Zaragoza-Vera, A.L.C. Gurgel, G.A. Muñoz-Osorio, and A.J. Chay-Canul
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biometric measurements ,mathematical equations ,prediction models ,Animal culture ,SF1-1100 - Abstract
ABSTRACT Due to the conditions in which traditional sheep production systems operate, the evaluation of animal growth from live weight (LW) is limited by the high cost of the livestock scale as well as the sophisticated maintenance required. In this scenario, in recent years, biometric measurements have been investigated as an accurate indirect method to predict the LW of farm animals. Therefore, the present study was undertaken to examine different models for predicting the body weight of growing lambs using the body volume (BV) formula. Body volume, heart girth (HG) and body length (BL) data of 290 lambs aged between two and eight months were recorded. Body volume was calculated from HG and BL data using a formula that calculates the volume of a cylinder. The estimation of LW from the BV formula was achieved through regression equations using three mathematical models (linear, quadratic and exponential). The mean values of LW, HG, BL and BV of the lambs were 29.12±12.04kg, 70.00±11.69cm, 38.40±6.43cm and 23.93±9.90dm3, respectively. The correlation coefficient between LW and BV was r = 0.96 (P
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- 2022
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6. Machine learning approaches to predict the match result: Brazilian futsal league case
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Denio Duarte and Jefferson Alexandre Coppini
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supervised machine learning ,prediction models ,futsal ,Sports ,GV557-1198.995 - Abstract
The use of machine learning approaches in sports has been grown in the last decade. Sports analytics, outcome match results, and possible player’s injury are examples of machine learning applications. Accordingly, this work aims to use machine learning techniques to build models to predict FutSal National League (LNF) results (win/loss/draw) based on data collected in the first half of a match. To accomplish that, we extract the data from the LNF website, and, based on the data, we propose six new features using the concept of team strength. The data correspond to the 2016 to 2019 seasons. The models are built usimg machine learning approaches, and they are validated through an accuracy metric. We build ten models, and the predictions are organized as follows: the individual performance of each model and a voting approach (committee) based on the majority of the predicted results. The results show that the individual models get better performance when predicting a single result (e.g., home win) with 95% accuracy. On the other hand, the committee gets a better performance regarding the overall results. The win, loss, and draw results reach almost 79% accuracy.
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- 2021
7. Previsão da Recuperação Judicial de Empresas no Brasil: Uma Investigação Empírica.
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Américo Schio, Thyago and Vaz Sampaio, Armando
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PREDICTION models , *JUDICIAL process , *DEBT , *LIQUIDITY (Economics) , *FORECASTING - Abstract
This paper investigates the phenomenon of judicial reorganization in Brazil between the years 2013 to 2018, identifying key factors that explain the process of judicial reorganization. Specifically, this research answers to the following question: for the Brazilian case, what are the relevant variables to forecast judicial reorganization? Thus, it seeks to put down an existing gap, since no work has been found in the literature dealing with the forecast of judicial reorganization in Brazil. This research is justified by the following factors: relevance and growth of judicial reorganization, seen from the perspective of the Brazilian reorganization law; the scarce empirical literature that deals with judicial reorganization in Brazil; the importance of the existence of quantitative models that explain with high precision the judicial reorganization of companies in Brazil. This research advances the frontier on judicial recovery in Brazil and increases the empirical knowledge about the applicability of Brazilian Law 11.101/2005. To answer the question above, two predictive models were developed, comparing them, a Cox model and a logistic model. The results show the use and effectiveness of both methods, although highlights the superiority of the logistic model as the predictive method of judicial reorganization in Brazil, based in indicators of liquidity, profitability, indebtedness and rotativity. [ABSTRACT FROM AUTHOR]
- Published
- 2022
8. Determinação de amido e carboidratos em folhas de mangueira com o uso espectroscopia Vis-NIR.
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Alves Santana, Elisson, dos Santos Costa, Daniel, and de Medeiros, José Francismar
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PARTIAL least squares regression , *MANGO , *FISHER discriminant analysis , *PLANT development , *REGRESSION analysis , *PREDICTION models , *CORNSTARCH - Abstract
Mango production presents challenges, such as the maturation of the mango branches, which, combined with good nutrition and biochemicals involved in this process, such as carbohydrate and starch favor the development of the plant. Therefore, the use of non-destructive, fast techniques to determine the levels of these components in the plant, such as spectroscopy, can optimize the analysis of these components. Therefore, this work aimed to develop predictive models for determination of starch and carbohydrate contents in "Palmer" mango leaves using vis-nir spectroscopy subjected to different potassium sources. The work was carried out in the region of San Francisco Valley, using the following steps: (1) leaf sampling; (2) spectral analysis; (3) lab determination of carbohydrate and starch contents; and (4) development of predictive regression and classification models. The predictive regression models used were Principal Components Regression (PCR) and Partial Least Squares Regression (PLSR). Supervised discriminant models were also developed to classify mango leaves according to different potassium sources used, using linear discriminant analysis (LDA). Vis-NIR spectroscopy showed low values for the non-destructive evaluation of "Palmer" mango leaves using PCR and PLSR for carbohydrate and starch prediction with R2 of 0.58 lower than the models considered excellent (R² >0.90); The development of classification models did not allow the discrimination of different sources of potassium in "Palmer" mango leaves with an accuracy of 64.2%. [ABSTRACT FROM AUTHOR]
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- 2022
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9. Estimando a aceleração da expansão do Universo com o SimECosmo.
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Pereira Raymundo, Iuri Baranov, de Oliveira Baraúna Ferreira, Luan Orion, Wolney Mello, Matheus Monteiro, and Pigozzo, Cássio
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TYPE I supernovae , *USER interfaces , *PHYSICAL cosmology , *ACCELERATION (Mechanics) , *PREDICTION models , *COMPILERS (Computer programs) ,UNIVERSE - Abstract
We present a review of how Type Ia Supernovae (SN Ia) are used in cosmology to estimate cosmological models parameters. In particular, we discuss how they helped with the paradigm shift observed at the turn of the last century to this one: the Universe is in an accelerated expansion rate. For this, we will discuss how to delimit cosmological parameters, especially the deceleration parameter, with the definition of a type of distance in cosmology, which is calculated knowing the luminosity of astrophysical objects. We developed a software to be used with this article by teachers in their classes or orientations, as well as by students in their individual studies. The SimECosmo, acronym for Simulador para o Ensino de Cosmologia, has a user interface and allows the visualization of how cosmological parameters affect model predictions, comparing with SN Ia data from the Union 2.1 and Pantheon Sample compilations. [ABSTRACT FROM AUTHOR]
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- 2022
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10. Digital mapping of soil attributes using machine learning
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Patrícia Morais da Matta Campbell, Márcio Rocha Francelino, Elpídio Inácio Fernandes Filho, Pablo de Azevedo Rocha, and Bruno Campbell de Azevedo
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XRF ,Spatial approach ,Prediction models ,Agriculture (General) ,S1-972 - Abstract
ABSTRACT Mapping the chemical attributes of the soil on a large scale can result in gains when planning the use and occupation of the land. There are different techniques available for this purpose, whose performance should be tested for different types of landscapes. The aim of this study was to spatialize chemical attributes of the soil, comparing eight methods of prediction. Forty morphometric attributes, generated from a digital elevation model, were used as independent variables, in addition to geophysical data, images from the Landsat 8 satellite and the NDVI. All possible combinations between the satellite bands were calculated, generating 28 new variables. Combinations between the Th, U and K bands obtained from the geophysical data were also calculated, generating a further three variables. The final variables to be calculated were the distances between the four points of the edges of the basin (d1, d2, d3 and d4). The dependent variables for the model were Al, Ca, Fe, K, Mg, Na, Si, Ti, Cr, Cu, Mn, Ni, P, Pb, V, Zn, Zr, S and Cl. A total of 200 soil samples were used, which were collected from 100 points at two depths (0-10 and 10-30 cm); the total elements were determined using an X-ray fluorescence analyzer. The Random Forest algorithm proved to be superior to the others in predicting the chemical attributes of the soil at both depths, and is suitable for predicting soil attributes in the study region. Spatial variables are essential, and should be considered when modelling chemical elements in the soil. Using the methods under test, it is possible to predict elements with R2 values ranging from 0.32 to 0.62.
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- 2019
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11. Ordenação de Algoritmos para Modelagem Preditiva de Churn: Analisando o Problema a Partir dos Métodos Sapevo-M e Vikor.
- Author
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Carlos Silva Júnior, Antônio, Pereira de Almeida, Isaque David, dos Santos, Marcos, and Santiago Quintal, Renato
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BUSINESS models , *LOGISTIC regression analysis , *PREDICTION models , *ALGORITHMS , *DECISION making - Abstract
Predictive modeling for customer churn classification is a common practice among companies from different sectors, however even though it is a widely explored subject, choosing a suitable classifier may be a difficult task, given the particularities of each company and the variety of available algorithms. Therefore, the purpose of this article is to choice of an algorithm for customer churn predictive modeling in a Brazilian startup. The decision-making process used the SAPEVO-M method to obtain the weights of criteria and to define an interpretability measure for the evaluated algorithms, and the VIKOR method was used to evaluate the alternatives. After applying the methods, the classifiers trained with SVM (radial kernel) and Logistic Regression algorithms were considered the most suitable for the business model of the company in question. [ABSTRACT FROM AUTHOR]
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- 2021
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12. PREVISÃO DA PRODUÇÃO DE MILHO NO BRASIL POR MEIO DE MODELOS ESTATÍSTICOS LINEARES.
- Author
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Maria, MARTINELLO Larissa, Bellido, RODRIGUES Samuel, Tásia, HICKMANN, Marlon, CORRÊA Jairo, Venâncio, THOMAZ Diego, and da Silva, RIBEIRO Lucas
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BOX-Jenkins forecasting , *TIME series analysis , *FREEWARE (Computer software) , *RURAL planning , *PREDICTION models , *AGRICULTURAL forecasts - Abstract
Knowledge of techniques to obtain information on the future production trend is essential for rural managers. Therefore, the purpose of this work was to make predictions. For that, time series models implemented in free software R of Brazilian corn production for the 2017/2018, 2018/2019 and 2019/2020 harvests were used. ARIMA (Autoregressive Integrated Moving Average) and ETS (Error, Trend, Seasonal - Error, Trend, Seasonal) methodologies were applied. Both models proved to be suitable. The model that presented the best forecast results was ARIMA, whose mean absolute percentage error of the predictions was less than that presented in the ETS model, when compared with the data reserved for verifying the predictive efficiency of the adjusted models. The results demonstrate the applicability of prediction models and computational tools that are easy to use. Such techniques aim to contribute to the decision-making and planning process by the rural manager, who has seen the corn crop in recent years, present production records and be one of the main cultivars that contributes to the Brazilian economy. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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13. Relações entre as características morfométricas da carcaça e a produção de cortes comerciais de novilhas da raça Nelore.
- Author
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Sanches, L. M., Fernandes, A. R. M., and Borquis, R. R. A.
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MEAT cuts , *LINEAR equations , *HEIFERS , *BODY weight , *PREDICTION models , *MULTIPLE regression analysis , *FAT - Abstract
A study of correlations was conducted to determine the main morphometric measurements of the carcass that influence the determination of the commercial cuts from the forequarter and hindquarter in Nellore heifers. Eighty-one Nellore heifers, randomly chosen form a commercial herd, were slaughtered according to the actual regulation. The animal's body weight was measured before the slaughter. After the slaughtering, the hot and cold carcasses were determined and then divided into half-carcasses and weighed after cooling. The morphometric measurements evaluated were the internal carcass length, width, perimeter and depth of leg, chest depth, ribeye area, and subcutaneous fat thickness. The half-carcasses were divided into forequarter and hindquarter to establish the commercial meat cuts. The data were analysed using Pearson's correlation (p<0,05), followed by the development of multiple linear equations using the stepwise method. The highest positive correlations (> 0.60) were found in the variable weight, as the best correlation between the cuts of the forequarter and hindquarter was with the half carcass weight. The variables related to length, width, depth, and perimeter presented low to moderate correlations (<0.40) as the ribeye area showed a moderate and positive correlation (<0.40), yet the subcutaneous fat thickness did not correlate with the commercial meat cuts. The weight of the half carcass was the first variable that participated in the multiple linear regression model for the forequarter and hindquarte, and the other tested variables did not show a high increase in the prediction model. The observed and predicted values were calculated and compared, and they were broadly similar, thus showing the high prediction of the regression equations, and it can be well applied to estimate the cuts of the forequarter and hindquarter. The most important variable to predict the commercial cuts of Nellore heifers was the half-carcass weight. [ABSTRACT FROM AUTHOR]
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- 2021
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14. Aplicação de Modelos Matemáticos para Previsão de Recalques do Aterro de Nova Iguaçu - RJ, Brasil.
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Corrêa Klink, Annik Frasso, Pereira van Elk, Ana Ghislane Henriques, and Cesar da Silva, Júlio
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SOLID waste ,PREDICTION models ,COMPRESSIBILITY ,LANDFILLS ,FORECASTING ,LANDFILL gases - Abstract
Copyright of Anuario do Instituto de Geociencias is the property of Universidade Federal do Rio de Janeiro, Instituto de Geociencias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2021
- Full Text
- View/download PDF
15. Predicting the carcass characteristics of Morada Nova lambs using biometric measurements
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Roberto Germano Costa, Anny Graycy Vasconcelos de Oliveira Lima, Neila Lidiany Ribeiro, Ariosvaldo Nunes de Medeiros, Geovergue Rodrigues de Medeiros, Severino Gonzaga Neto, and Ronaldo Lopes Oliveira
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biometry ,carcass quality ,lamb carcass ,Morada Nova ,prediction models ,Animal culture ,SF1-1100 - Abstract
ABSTRACT The objective of this work was to use biometric measurements to predict carcass characteristics of lambs of the Morada Nova breed. We used 48 lambs with mean initial body weight (BW) of 15.0±0.04 kg and slaughter body weight (SBW) of 26.37±2.43 kg. The animals were weighed weekly and underwent a period of adaptation of 15 days before slaughter. The biometric measurements were obtained the day before slaughter, comprising body length, withers height, rump height, thigh length, breast width, rump width, thigh perimeter, rump perimeter, thorax perimeter, leg length, and body condition score. Additional measurements included slaughter BW and empty BW (EBW). The data recorded at slaughter comprised the weights of the viscera, carcass, and internal fat and offal. The in vivo measurements of body length were present in most of the equations for predicting the SBW, EBW, hot carcass weight (HCW), and cold carcass weight (CCW). The SBW and EBW presented a variation of approximately 9%. The variables that evaluated the carcass, HCW, and CCW demonstrated less data variation than SBW and EBW, which was probably because these measurements were obtained following evisceration and skinning, thus removing factors of more significant variation in vivo . The prediction models found in the present study varied with an R² of 0.49-0.93, indicating high levels of variation. In sum, biometric measurements can be used to predict the carcass characteristics of Morada Nova lambs with different body conditions.
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- 2020
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16. Mapeamento de Suscetibilidade a Movimentos de Massa a partir de Redes Neurais Artificiais.
- Author
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Pacheco Quevedo, Renata, Garcia de Oliveira, Guilherme, and Guasselli, Laurindo Antonio
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ARTIFICIAL neural networks ,NATURAL disasters ,PREDICTIVE tests ,STATISTICAL sampling ,PREDICTION models ,LANDSLIDES ,LANDSLIDE hazard analysis ,HAZARD mitigation - Abstract
Copyright of Anuario do Instituto de Geociencias is the property of Universidade Federal do Rio de Janeiro, Instituto de Geociencias and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
- Full Text
- View/download PDF
17. ESTUDO BIBLIOMÉTRICO SOBRE O USO DE GEOTECNOLOGIAS APLICADAS AO PLANEJAMENTO DE CIDADES MÉDIAS.
- Author
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Maciel Guirra, Alesson Pires, Nogueira Yallouz, Gisele Aparecida, and Taborda Silva, Isadora
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URBAN growth , *ECOLOGICAL assessment , *GEOTECHNICAL engineering , *GEOGRAPHIC information systems , *PREDICTION models - Abstract
This work is based on a bibliometric review aiming to provide an overview of the use of geotechnology applied to plan and management in medium-sized cities, as outlining the main trends and gaps, Scopus was selected as the key database for this study, considering its global use in the academic setting. The researched key terms appear only in 2007, evidencing the lack of papers about medium cities in highperformance journals. It was highlighted predictive models of urban sprawl and assessment of the ecological safety level of cities. Major innovations have adopted multiple satellite data sources, programming validation and optimization routines of image classifying algorithms, as well as the increment of semi-automated open and open-source processing chains. Given the various applications derived from geotechnologies, the adoption of these tools by municipal secretariats is essential to replace the archaic or inefficient territorial planning and management. [ABSTRACT FROM AUTHOR]
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- 2020
- Full Text
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18. Análise preditiva em bases desbalanceadas e comparação de técnicas de pré-processamento - Estudo de caso MOOC.
- Author
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Bastos Stoll, Bruno, Cury, Davidson, Varo Daros, Lucas, and Silva de Menezes, Crediné
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ONLINE education ,FIELDWORK (Educational method) ,PREDICTION models ,DATA mining ,MACHINE learning - Abstract
Copyright of Computing & System Journal (C&S) / Revista de Sistemas e Computação (RSC) is the property of FACS Servicos Educacionais S.A. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
19. Inteligência artificial aplicada a pequenas empresas: o uso da engenharia automática de recursos e do aprendizado de máquina para um planejamento mais preciso.
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Moreira Nascimento, Alexandre, Veloso de Melo, Vinicius, Muller Queiroz, Anna Carolina, Brashear-Alejandro, Thomas, and de Souza Meirelles, Fernando
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BUSINESS planning ,MACHINE learning ,SMALL business ,PREDICTION models ,ARTIFICIAL intelligence - Abstract
Copyright of Revista de Contabilidade e Organizações is the property of Revista de Contabilidade e Organizacoes and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2020
- Full Text
- View/download PDF
20. Thermoregulatory responses of sindhi and guzerat heifers under shade in a tropical environment
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Vinícius de França Carvalho Fonsêca, Ebson Pereira Cândido, Severino Gonzaga Neto, Edilson Paes Saraiva, Dermeval Araújo Furtado, Jean Francisco Pereira Gama, George Vieira do Nascimento, Carla Aparecida Soares Saraiva, and Gabriel Henrique Oliveira Almeida
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Heat tolerance ,Physiological parameters ,Prediction models ,Zebu cattle. ,Agriculture (General) ,S1-972 - Abstract
This study characterized the thermal environment and assessed the physiological aspects of acclimatization of Sindhi and Guzerat heifers in a tropical environment (Brazil) under shade. Eight Sindhi and eight Guzerat purebred heifers (Bos indicus) had their physiological traits measured twice a day (9:00 a.m. and 2:00 p.m.). Environmental data during the experimental period were collected at two-hour intervals between 5:00 a.m. and 5:00 p.m. The temperature-humidity (THI) and the black globe temperature-humidity (BGHI) indices were calculated, and surface temperature (St), respiratory rate (Rr), and rectal temperature (Rt) were collected, being used to estimate heat loss by cutaneous (Ec) and respiratory (Er) evaporation. In the warmer parts of the day (1:00 and 3:00 p.m.), the THI and BGHI reached values of 80.26 and 81.25, respectively. There was no significant difference in rectal temperatures between the breeds, but higher values were observed in the afternoon. Heat transfer by cutaneous evaporation reached 118.71±12.91 W.m-2 and 103.43±6.82 W.m-2 at 2:00 p.m. for the Sindhi and Guzerat heifers, respectively. Under these conditions (air temperature was between 29 and 30°C), 84% of the total latent heat loss in Sindhi and Guzerat heifers was represented by Ec. It can be concluded that Sindhi and Guzerat heifers can maintain homeothermy with minimal thermoregulatory effort under shade conditions in a tropical environment.
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- 2016
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21. ANÁLISE COMPARATIVA DE CARGAS DE LAMINAÇÃO A QUENTE INDUSTRIAIS COM AS OBTIDAS ATRAVÉS DE MODELAMENTO MATEMÁTICO.
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Diniz Dias, Evaldo, de Castro, Jose Adilson, de Oliveira Araújo, Fabio, Roberto Xavier, Carlos, and Pimentel Sampaio, Alexandre
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HOT rolling , *MANUFACTURING processes , *NIOBIUM , *PREDICTION models , *STEEL walls - Abstract
A comparison between the rolling loads calculated through the theoretical models of Sims, Orowan-Pascoe and Ekelund is performed in order to verify the performance of the models compared to the real values recorded during the processing of plain carbon-manganese steels and niobium steels during the finish rolling in the hot strip mill. To determine the hot deformation resistance, the equations of Shida, Poliak & Siciliano, Siciliano, Marini & Bruna, Siciliano, Leduc & Hensger, Misaka and Siciliano & Jonas are used. In the direct comparison between the calculated values and the actual values the best level of precision is obtained when the load prediction models are combined with the Shida equation, respectively Sims, Orowan-Pascoe and Ekelund. In order to better adjust calculated loads to the reality of the industrial process, adjustment factors are proposed for each of the seven stands of the finishing mill. With the application of the adjustment factors, the load prediction equations presented global mean errors in the finishing mill, varying between 4.3 and 5.6% for C-Mn steels and 4.6 and 6.3% for niobium steels. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
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22. Perfil epidemiológico e análise de tendência do HIV/AIDS.
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Ferraz Trindade, Felipe, Teixeira Fernandes, Gizely, Ferreira Nascimento, Rubens Henrique, Gouvêa Jabbur, Iann Fernando, and de Souza Cardoso, Anamaria
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AGE groups , *REGRESSION analysis , *AIDS , *PREDICTION models , *QUANTITATIVE research , *EPIDEMICS - Abstract
Objective: to trace epidemiological profile of HIV / AIDS in Montes Claros, Minas Gerais and analyze the trend line of growth of the disease. Method: it is an epidemiological, cross-sectional, descriptive-analytical study with a quantitative approach. The data were collected through DATASUS, SINAN and SIM, referring to the period between 1986 and 2016. The analysis of the predictive model was by Simple Linear Regression, for which the validation assumptions were met. Results: since the first diagnosis notified in 1986, there was a great spread of the disease, totaling 523 confirmed cases. The distribution was 59.8% (313) for men; 31.9% (167) in the 30-39-year age group; 33.7% (176) in brown-skinned; and 48.4% (256) of heterosexual sexual contact exposure. Mortality corresponds to 71.9% (23) of males; 43.8% (14) in the age range of 30-39 years. The trend curve of the epidemic denotes a progressive increase in incidence according to the function of -2227.779 + 1.122* (year). Conclusion: the data show that the HIV / AIDS epidemic is still expanding. However, since its onset, the sociodemographic profile of the disease assumes a changing character, which requires constant vigilance for adequacy of control policies. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
23. Spatial analysis and prediction models of human visceral leishmaniasis in Maranhão State
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PIMENTEL, Karen Brayner Andrade, SILVA, Antônio Rafael da, GONÇALVES, Eloisa da Graça do Rosário, AQUINO JÚNIOR, José, BRANCO, Maria dos Remédios Freitas Carvalho, and MOURA, Maria Edileuza Soares
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estudos de séries temporais ,time series studies ,modelos de predição ,prediction models ,leishmaniose visceral ,Doenças Infecciosas e Parasitárias ,visceral leishmaniasis - Abstract
Submitted by Jonathan Sousa de Almeida (jonathan.sousa@ufma.br) on 2022-11-21T17:03:40Z No. of bitstreams: 1 KARENBRAYNERANDRADEPIMENTEL.pdf: 1773595 bytes, checksum: 62ec4486fea5246b1f3fe6c79dedf8a3 (MD5) Made available in DSpace on 2022-11-21T17:03:40Z (GMT). No. of bitstreams: 1 KARENBRAYNERANDRADEPIMENTEL.pdf: 1773595 bytes, checksum: 62ec4486fea5246b1f3fe6c79dedf8a3 (MD5) Previous issue date: 2021-12-28 FAPEMA Introduction: Human visceral leishmaniasis is an infectious disease, prevalent in tropical countries. Prediction of the occurrence of infectious diseases through epidemiological modeling, the use of geoprocessing and sophisticated statistical methods incorporated into the analysis of spatial data are health tools that aim to understand their occurrence dynamics, guiding the conducts regarding the control of this disease. Objective: Analyze the spatial dynamics and develop a prediction model for the occurrence of LVH for the state of Maranhão, 2001 to 2018. Methods: Monthly data on LVH cases were collected through the Notifiable Disease Information System corresponding to the period 2001 to 2018. For the prediction model, the Box-Jenkins method was applied to adjust a SARIMA prediction model for general incidence and by sex (male and female) of LVH for the period from January 2019 to December 2023. For the analysis of the spatial pattern, the Moran Global Index and the Local Indicators of Spatial Association (LISA) were calculated. Results: During the 216-month period of this time series, 10,431 cases of VHL were registered in Maranhão, with an average of 579 cases per year. In relation to age group, there was a greater number of records in the pediatric population (0 to 14 years old). There was a predominance of males, with 6437 cases (61.7%). The Box-Pierce test values for general incidence, male and female, reinforced by the results of the Ljung-Box test suggest that the autocorrelations of residues present a white noise behavior. For general monthly incidence and by male and female, the SARIMA models (2.0.0) (2.0.0), (0.1.1) (0.1.1) and (0.1.1) (2, 0, 0) were the ones that best fit the data, respectively. The behavior of the time series, according to the SARIMA model, in general, for the total incidence, a decreasing trend was observed. However, in women, there was a trend towards an increase in incidence for the forecast period. The global spatial autocorrelation analyzes showed that the Moran Global Index of LVH incidence in Maranhão varied significantly, indicating the presence of spatial clusters during the study period. Univariate LISA analysis identified clusters of transmission of LVH predominant in the east and west portions of the state. LVH in Maranhão throughout this historical series had an important spread of its occurrence, with the emergence of new clusters of cases. In the period considered, the disease was registered in 206 of the 217 municipalities. Conclusion: The SARIMA model and the Global Moran Index and the local Moran index proved to be adequate tools for forecasting and trending the incidence of LVH in Maranhão and analyzing the spatial dynamics, revealing that the disease will persist as a public health problem in the coming years, reinforcing the need for prevention and control measures. The determination of temporal variation and its prediction are crucial in guiding health intervention measures. Introdução: A leishmaniose visceral humana (LVH) é uma doença de natureza infecciosa, predominante em países de zonas tropicais. A predição de ocorrência de doenças infecciosas através da modelagem epidemiológica, a utilização do geoprocessamento e métodos estatísticos sofisticados incorporados a análise de dados espaciais são ferramentas na saúde que visam o entendimento de sua dinâmica de ocorrência direcionando as condutas a respeito do controle dessa doença. Objetivo: Analisar a dinâmica espacial e desenvolver um modelo de predição de ocorrência de LVH para o estado do Maranhão, 2001 a 2018. Métodos: Foram coletados os dados mensais de casos de LVH através do Sistema de Informação de Agravos de Notificação (SINAN) correspondentes ao período de 2001 a 2018. Para o modelo de predição, o método de Box-Jenkins foi aplicado para ajustar um modelo de predição SARIMA para incidência geral e por sexo (masculino e feminino) de LVH para o período de janeiro de 2019 a dezembro de 2023. Para análise do padrão espacial foram calculados os Índices de Moran Global e o Local Indicators of Spatial Association (LISA). Resultados: Durante o período de 216 meses dessa série temporal, foram registrados 10.431 casos de LVH no Maranhão, com uma média de 579 casos por ano. Em relação à faixa etária, houve maior registro no público pediátrico (0 a 14 anos). Houve predominância do sexo masculino, com 6437 casos (61,7%). Os valores do teste de Box-Pierce para incidência geral, sexo masculino e feminino reforçados pelos resultados do teste Ljung-Box sugerem que as autocorrelações de resíduos apresentam um comportamento de ruído branco. Para incidência mensal geral e por sexo masculino e feminino, os modelos SARIMA (2,0,0) (2,0,0), (0,1,1) (0,1,1) e (0,1,1) (2, 0, 0) foram os que mais se ajustaram aos dados, respectivamente. O comportamento das séries temporais, segundo o modelo SARIMA, de modo geral, para a incidência total foi observado uma tendência decrescente. No entanto, em mulheres, foi verificada uma tendência de aumento na incidência para o período da previsão. As análises de autocorrelação espacial global mostraram que o Índice de Moran Global da incidência de LVH no Maranhão variou de forma significativa, indicando a presença de agrupamentos espaciais durante o período do estudo. A análise univariada do LISA identificou conglomerados de transmissão da LVH predominante na porção leste e oeste do Estado. A LVH no Maranhão ao longo desta série histórica teve uma importante capilarização de sua ocorrência, com surgimento de novos conglomerados de casos. No período considerado, a doença foi registrada em 206 dos 217 municípios. Conclusão: O modelo SARIMA e os Índices de Moran Global e o índice de Moran local se mostraram ferramentas adequadas de previsão e da tendência de incidência da LVH no Maranhão e análise da dinâmica espacial, revelando que a doença persistirá como um problema de saúde pública nos próximos anos, reforçando a necessidade de medidas de prevenção e controle. A determinação da variação temporal e sua predição são determinantes no norteamento de medidas de intervenção em saúde.
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- 2021
24. Uso de enfoques de aprendizaje automático para predecir los resultados de los juegos: el caso de la liga nacional de fútbol sala
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Duarte, Denio and Coppini, Jefferson Alexandre
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Prediction Models ,Futsal ,Aprendizado de Máquina Supervisionado ,Supervised Machine Learning ,Modelo de Predição - Abstract
The use of machine learning approaches in sports has been grown in the last decade. Sports analytics, outcome match results, and possible player’s injury are examples of machine learning applications. Accordingly, this work aims to use machine learning techniques to build models to predict FutSal National League (LNF) results (win/loss/draw) based on data collected in the first half of a match. To accomplish that, we extract the data from the LNF website, and, based on the data, we propose six new features using the concept of team strength. The data correspond to the 2016 to 2019 seasons. The models are built usimg machine learning approaches, and they are validated through an accuracy metric. We build ten models, and the predictions are organized as follows: the individual performance of each model and a voting approach (committee) based on the majority of the predicted results. The results show that the individual models get better performance when predicting a single result (e.g., home win) with 95% accuracy. On the other hand, the committee gets a better performance regarding the overall results. The win, loss, and draw results reach almost 79% accuracy. O uso de técnicas de aprendizado de máquina na área esportiva cresce dia a dia. Áreas como análise esportiva, previsão de resultados e prevenção de contusões se apoiam cada mais nessas técnicas para obterem resultados mais eficazes. Neste contexto, este trabalho tem como objetivo prever os resultados de partidas de futsal da Liga Nacional de Futsal (LNF) (vencedor mandante, vencedor visitante e empate) utilizando os dados gerados durante o primeiro tempo da partida. Os dados foram extraídos do sítio da LNF e, além, dos atributos extraídos, seis novos atributos baseados na força dos times foram propostos. Os dados correspondem às temporadas de 2016 a 2019. A previsão dos resultados é feita através de modelos construídos por algoritmos de aprendizado de máquina. A validação do modelo foi feita através da acurácia dos resultados de previsão. Foram criados dez modelos de previsão e os resultados foram organizados da seguinte forma: o desempenho individual de cada modelo e um comitê de votação em que o resultado mais votado é o resultado utilizado na previsão. Resultados apontam que os modelos individuais possuem melhores desempenhos em prever um resultado específico (e.g., vitória do mandante) chegando a 95% de acurácia. Por outro lado, o comitê obteve um melhor desempenho nos resultados agrupados, chegando a quase 79% de acurácia.
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- 2021
25. Predicción de la erosión eólica potencial con el modelo EWEQ en dos suelos loesicos: efectos de las condiciones climáticas Wind erosion prediction with the EWEQ model in two loess soils: effects of climatic condition
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Silvia Beatriz Aimar, Mariano Javier Méndez, and Daniel Eduardo Buschiazzo
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Erosión Eólica ,Regiones Semiáridas ,Modelo EWEQ ,Wind Erosion ,Semiarid Regions ,Prediction Models ,Agriculture (General) ,S1-972 ,Plant culture ,SB1-1110 - Abstract
La erosión eólica potencial del suelo (EEP) es un dato básico utilizado en varios modelos de predicción para calcular la erosión eólica de suelos agrícolas. El objetivo de este estudio fue cuantificar la EEP de un Haplustol y un Ustipsammente de la Región Semiárida Pampeana (RSP) y compararla con las predicciones del modelo Ecuación de Erosión Eólica en Español (EWEQ), realizadas con diferentes factores climáticos (C). Se efectuaron mediciones de EEP a campo durante un año en ambos suelos, mantenidos sin cobertura y con mínima rugosidad. Los resultados indicaron que la EEP medida a campo fue mayor en el Ustipsammente (270 Mg ha-1 año-1) que en el Haplustol (40 Mg ha-1 año -1 ), con una reducción en el espesor del horizonte de 21,3 y 3,1 mm, respectivamente. La erosión del Ustipsammente fue dos veces mayor en primavera-verano que en otoño-invierno. Este efecto no se observó en el Haplustol, debido a su menor desecamiento y mayores contenidos de humedad luego de las lluvias. La erosión del Haplustol, por desecarse más lentamente luego de una lluvia, fue más condicionada por las precipitaciones que la del Ustipsammente. Un 40% de la erosión de ambos suelos fue definida por la duración de las tormentas. Las tasas de erosión (EEP por unidad de tiempo, Qt) se correlacionaron positivamente con la velocidad promedio del viento (V), ajustando a una función polinómica en ambos suelos. A la misma V, Qt fue siempre mayor en el Ustipsammente. La EEP calculada con la EWEQ, utilizando el factor C correspondiente al año de muestreo (30,3), fue la más semejante a la erosión medida a campo, aunque el modelo la subestimó en un 43% en el Haplustol y en un 18% en el Ustipsammente. La EWEQ deberá ofrecer al usuario distintos factores C para poder predecir EEP en escenarios climáticos variables.The potential wind erosion of a soil (EEP) is a basic data for predicting wind erosion of agricultural soils in most wind erosion prediction models. The objective of this study was to compare the predicted EEP of two soils by means of the Spanish Version of the Wind Erosion Equation (EWEQ), with field-measured EEP in a semiarid environment of Argentina, loaded with different climatic C factors. Wind erosion measurements were carried out along one year in a Typic Ustipsammment and an Entic Haplustoll, both maintained bare and flat along the sampling period. Results indicated that EEP was higher in the Ustipsamment (270 Mg ha-1 yr-1) than in the Haplustoll (40 Mg ha-1 yr-1). These amounts represented 21,3 and 3,1 mm losses of the topsoil. Wind erosion of the Ustipsamment was twice in Spring-Summer than in Autumn-Winter. This effect was not observed in the Haplustoll, due to a slower drying rate after a rainfall event, which maintained the soil surface moist during a longer period of time. Storm duration explained 40% of the wind erosion variability in both soils. Wind erosion rates (Qt, EEP per unit time) correlated positively with the mean wind speed in both soils. At similar wind speeds, Qt was always higher in the Typic Ustipsamment. The EEP calculated with a C factor corresponding to the sampling period (30,3) was the most similar to field measurements, but EWEQ underestimated wind erosion by 43% for the Haplustoll and by 18% for the Ustipsamment. The EWEQ model should include different climatic C factors in order to offer the user the prediction of wind erosion under variable climatic scenarios.
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- 2011
26. Avaliação do modelo CNCPS na predição do consumo de matéria seca em vacas da raça Holandesa em pastejo Evaluation of the Cornell Net Carbohydrate and Protein System on the prediction of dry matter intake of grazing lactating Holstein cows
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Ana Cristina Wyllie Elyas, Paulo César de Aguiar Paiva, Fernando César Ferraz Lopes, Duarte Vilela, Pedro Braga Arcuri, and Mirton José Frota Morenz
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ingestão de matéria seca ,modelos de predição ,sistema de pastejo ,vacas em lactação ,dry matter intake ,grazing systems ,lactating cows ,prediction models ,Animal culture ,SF1-1100 - Abstract
Este trabalho foi realizado com o objetivo de avaliar o modelo Cornell Net Carbohydrate and Protein System (CNCPS), versão 5.0, na predição do consumo de matéria seca de vacas da raça Holandesa, lactantes, em pastagem de capim coast-cross suplementada com silagem de milho e concentrado (3 ou 6 kg/vaca.dia). Foram realizados seis ensaios experimentais, cada um com 12 vacas. Em três das avaliações, os animais receberam, além do concentrado, 17 kg de silagem de milho/dia (base natural). As coletas de forragem selecionada na pastagem para análise da composição química foram realizadas por uma vaca com fístula esofágica. A estimativa do consumo voluntário foi realizada com sesquióxido de cromo (Cr2O3), administrado em doses de 5 g, duas vezes ao dia. Foram fornecidos ao programa dados (inputs) referentes aos animais (peso vivo corporal, escore corporal, idade, produção e composição do leite e tipo racial), ao ambiente (temperatura, umidade relativa do ar e manejo) e à composição do alimento em cada período experimental. Os valores preditos pelo CNCPS para a ingestão voluntária de matéria seca foram próximos àqueles estimados, havendo pequena tendência do modelo em subestimar o valor determinado com o indicador.The aim of this work was to evaluate the ability of the Cornell Net Carbohydrate and Protein System (CNCPS) version 5.0 to estimate the dry matter intake (DMI) of grazing lactating Holstein cows, grazing coast-cross pasture supplemented with corn silage and concentrate (3 or 6 kg/cow/day). Six experiments were carried out, with 12 cows each. The cows were fed 17 kg/cow/day of corn ensilage in three experiments. The chemical composition of extrusa samples of forage was determined, obtained using an esophageous fistulated cow. The intake estimates were obtained using 5 g of chromium oxide (Cr2O3) methodology supplied two times a day. Data corresponding to animals (body weight, age, milk yield and composition and racial type), environment (temperature, air relative humidity and management condition) and the feed chemical composition in each experimental period were provided to the program. The DMI values predicted by the CNCPS model were close to those obtained by the chromium oxide methodology.
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- 2009
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27. Avaliação in silico do potencial de atividade de lignanas e neolignanas frente a doenças negligenciadas e neurodegenerativas
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Maia, Mayara dos Santos and Scotti, Marcus Tullius
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Leishmania ,Schistossoma mansoni ,Neolignanas ,Molecular dynamics simulations ,Trypanossoma cruzi ,Modelos de predição ,Cálculos de energia livre ,Prediction models ,Docking consenso ,Lignans ,CIENCIAS BIOLOGICAS::FARMACOLOGIA [CNPQ] ,Molecular docking ,Alzheimer ,Neolignans ,Free energy calculations ,Lignanas ,Simulações de dinâmica molecular ,Docking molecular ,Consensus docking - Abstract
Natural products are considered potential sources of new therapeutic agents due to the diversity of structures and their properties. Among the natural products, lignans and neolignans stand out, which have a variety of biological activities, but due to their structural diversity, it is necessary to identify and investigate new sources of pharmacological effects. Neglected diseases threaten and affect millions of people around the world. Among them, leishmaniasis, Chagas disease and schistosomiasis, whose available chemotherapy treatments are highly toxic and hardly effective in the chronic phase of the disease. Degenerative diseases have also affected many people, with Alzheimer’s being the most common. Treatment is also limited as it does not prevent disease progression. Several computational approaches in Chemo and Bioinformatics can help, mediate, guide and identify new compounds for the treatment of various diseases. Therefore, the objective of this work is to evaluate the pharmacological potential of lignans and neolignans against neglected and neurodegenerative diseases with the help of several computational tools and approaches. In chapter 2, lignans were evaluated from the ChEMBL database and applied approaches such as pharmacokinetic profiling, combined analysis based on ligand and structure, homology modeling, resistance prediction and molecular dynamics simulations. Four of the lignans selected in the screening were isolated and tested against promastigote forms of Leishmania major and L. (Viannia) braziliensis. The results showed that the most active compound, (159) epipinoresinol-4-O-β-D-glucopyranoside, had an IC50 value of 5.39 µM for L. braziliensis and an IC50 value of 36.51 µM for L. major. In Chapter 3, we predicted the trypanocidal potential of 47 neolignans using predictive models, molecular docking, molecular dynamics simulations, and free energy calculations. Of the compounds analyzed, two were isolated and showed to inhibit the growth of epimastigote forms at concentrations of 9.64 and 8.72 µM, and trypomastigote forms at 4.88 and 2.73 µM. While in Chapter 4, in silico approaches using pharmacokinetic profile analysis, consensus docking, consensus predictive models, molecular dynamics simulations and free energy calculations were also used to select potential and selective lignans against an important target of Schistosoma mansoni. Four lignans had excellent results and we suggest that they are a therapeutic alternative in cases of resistance. In chapter 5, lignans were analyzed with the aim of identifying potential and multitarget compounds for the treatment of Alzheimer’s. A combined analysis, based on ligand and structure, followed by prediction of absorption, distribution, metabolism, excretion and toxicity (ADMET) properties was performed. The results showed that the combined analysis was able to select 139 potentially active and multitarget lignans, providing treatment alternatives through neuroprotective and antioxidant activity. Chapter 6 is a review that describes various studies, approaches, and methods of consensus docking. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES Os produtos naturais são considerados potenciais fontes de novos agentes terapêuticos devido à diversidade de estruturas e suas propriedades. Dentre os produtos naturais, destacam-se as lignanas e neolignanas, que possuem uma variedade de atividades biológicas, mas que devido à diversidade estrutural, se faz necessário identificar e investigar novas fontes de efeitos farmacológicos. As doenças negligenciadas ameaçam e atingem milhões de pessoas ao redor do mundo. Dentre elas, a leishmaniose, a doença de Chagas e a esquistossomose, cujo os tratamentos quimioterápicos disponíveis apresentam alta toxicidade e dificilmente apresentam eficácia na fase crônica da doença. As doenças degenerativas também têm acometido diversas pessoas, sendo o Alzheimer mais comum. O tratamento também é limitado, pois não evita a progressão da doença. Variadas abordagens computacionais da Quimio e Bioinformática podem auxiliar, mediar, orientar e identificar novos compostos para o tratamento de diversas doenças. Portanto, o objetivo deste trabalho é avaliar o potencial farmacológico de lignanas e neolignanas frente a doenças negligenciadas e neurodegenerativas com o auxílio de ferramentas e abordagens computacionais. No capítulo 2, foram avaliadas lignanas a partir do banco de dados ChEMBL e aplicado abordagens como perfil farmacocinético, análise combinada baseada no ligante e na estrutura, modelagem por homologia, predição de resistência e simulações de dinâmica molecular. Quatro dentre as lignanas selecionadas na triagem, foram isoladas e testadas contra formas promastigotas de Leishmania major e L. (Viannia) braziliensis. Os resultados mostraram que o composto mais ativo, o (159) epipinoresinol-4-O-β-D-glucopiranosídeo, apresentou um valor IC50 de 5,39 µM para L. braziliensis e valor IC50 de 36,51 µM para L. major. No capítulo 3, previmos o potencial tripanomicida de 47 neolignanas usando modelos preditivos, docking molecular, simulações de dinâmica molecular e cálculos de energia livre. Dos compostos analisados, dois foram isolados e mostraram inibir o crescimento de formas epimastigotas em concentrações de 9,64 e 8,72 µM, e formas tripomastigotas em 4,88 e 2,73 µM. Enquanto que no capítulo 4, abordagens in silico, usando análise de perfil farmacocinético, docking consenso, modelos preditivos consenso, simulações de dinâmica molecular e cálculos de energia livre também foram utilizados para selecionar lignanas potenciais e seletivas contra um importante alvo do Schistossoma mansoni. Quatro lignanas obtiveram excelentes resultados e sugerimos ser um alternativa terapêutica em casos de resistência. No capítulo 5, lignanas foram analisadas com o objetivo de identificar compostos potenciais e multi-target para o tratamento do Alzheimer. Uma análise combinada, com base no ligante e na estrutura, seguida pela previsão das propriedades de absorção, distribuição, metabolismo, excreção e toxicidade (ADMET) foi realizada. Os resultados mostraram que a análise combinada foi capaz de selecionar 139 lignanas potencialmente ativas e multitarget, conferirindo alternativas de tratamento através da atividade neuroprotetiva e antioxidante. O capítulo 6 é uma revisão que descreve vários estudos, abordagens e métodos de docking consenso.
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- 2021
28. Neural network and state-space models for studying relationships among soil properties Redes neurais e modelos de espaço de estados para o estudo da relação entre propriedades do solo
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Luís Carlos Timm, Daniel Takata Gomes, Emanuel Pimentel Barbosa, Klaus Reichardt, Manoel Dornelas de Souza, and José Flávio Dynia
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atributos do solo ,modelos de predição ,transeção espacial ,variáveis latentes ,soil attributes ,prediction models ,spatial transect ,latent variables ,Agriculture (General) ,S1-972 - Abstract
The study of soil property relationships is of great importance in agronomy aiming for a rational management of environmental resources and an improvement of agricultural productivity. Studies of this kind are traditionally performed using static regression models, which do not take into account the involved spatial structure. This work has the objective of evaluating the relation between a time-consuming and "expensive" variable (like soil total nitrogen) and other simple, easier to measure variables (as for instance, soil organic carbon, pH, etc.). Two important classes of models (linear state-space and neural networks) are used for prediction and compared with standard uni- and multivariate regression models, used as reference. For an oat crop cultivated area, situated in Jaguariuna, SP, Brazil (22º41' S, 47º00' W) soil samples of a Typic Haplustox were collected from the plow layer at points spaced 2 m apart along a 194 m spatial transect. Recurrent neural networks and standard state-space models had a better predictive performance of soil total nitrogen as compared to the standard regression models. Among the standard regression models the Vector Auto-Regression model had a better predictive performance for soil total nitrogen.O estudo da relação entre as propriedades do solo é de grande importância na área agronômica objetivando um manejo racional dos recursos naturais do meio ambiente e um aumento na produtividade agrícola. Tradicionalmente este estudo tem sido realizado usando modelos de regressão estática os quais não levam em consideração a estrutura espacial envolvida. Este trabalho teve o objetivo de avaliar a relação entre uma variável de determinação mais cara e demorada (por exemplo, nitrogênio total do solo) e outras de mais barata e rápida determinação (p.e., carbono orgânico do solo, pH, etc.). Duas importantes classes de modelos (espaço de estados linear e redes neurais) são usadas para predição e comparadas aos modelos de regressão uni- e multivariados aqui usados como referência. Para tal, em uma área experimental cultivada com aveia, situada em Jaguariúna, SP (22º41' S e 47º00' W), amostras de um solo classificado como Latossolo foram coletadas na camada arável ao longo de uma transeção espacial de 194 m, eqüidistantes de 2 m. Os modelos de rede neural recorrente e de espaço de estados padrão tiveram uma melhor performance preditiva da variável nitrogênio total do solo quando comparados aos modelos de regressão padrão. Entre os modelos de regressão padrão o Autoregressivo Vetorial teve um melhor desempenho preditivo da variável nitrogênio total do solo.
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- 2006
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29. Análise de textos por meio de processos estocásticos na representação word2vec
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Gabriela Massoni, Rafael Bassi Stern, Andressa Cerqueira, Marcos Oliveira Prates, and Stern, Rafael Bassi
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Representação vetorial de palavras ,PROBABILIDADE E ESTATISTICA::ESTATISTICA::INFERENCIA EM PROCESSOS ESTOCASTICOS [CIENCIAS EXATAS E DA TERRA] ,Natural language processing ,media_common.quotation_subject ,Modelos de predição ,Word vector representation ,PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOS [CIENCIAS EXATAS E DA TERRA] ,Processos estocásticos ,Art ,Prediction models ,Stochastic process ,Processamento de linguagem natural ,media_common - Abstract
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Within the field of Natural Language Processing (NLP), the word2vec model has been extensively explored in the field of vector representation of words. It is a neural network that is based on the hypothesis that similar words have similar contexts. In the literature in general, the text is represented by the mean vector of the representations of its words, which, in turn, is used as an explanatory variable in predictive models. An alternative is, in addition to averages, to use other measures, such as standard deviation and position measures. However, the use of these measures assumes the order of the words does not matter. Thus, in this dissertation we explore the use of stochastic processes, in particular, Time Series Models and Hidden Markov Models (HMM), to incorporate the "chronological" order of words in the construction of explanatory variables from the vector representation given by word2vec. The impact of this approach is measured with the quality of the predictive models of real data and compared to the usual ones. For the analysed data, the proposed approaches have a result that is superior to or equivalent to the usual approaches in most cases. Dentro do campo de Processamento de Linguagem Natural (NLP), o modelo word2vec vêm sendo bastante explorado no campo da representação vetorial de palavras. Ele é uma rede neural que se baseia na hipótese de que palavras semelhantes tem contextos semelhantes. Na literatura em geral, o texto é representado pelo vetor de médias das representações das suas palavras, que, por sua vez, é utilizado como variável explicativa em modelos preditivos. Um alternativa é, além da médias, utilizar outras medidas, como desvio-padrão e medidas de posição. Porém, o uso destas medidas supõe que a ordem das palavras não importa. Assim, nesta dissertação exploramos o uso de processos estocásticos, em particular, Modelos de Série Temporal e Modelos Ocultos de Markov (HMM), para incorporar a ordem "cronológica" das palavras na construção das variáveis explicativas a partir da representação vetorial dada pelo word2vec. O impacto desta abordagem é medido com a qualidade dos modelos preditivos aplicados à dados reais e comparado às abordagens usuais. Para os dados analisados, as abordagens propostas tiveram um resultado superior ou equivalente às abordagens usuais na maioria dos casos. CNPQ: 131978/2019-5
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- 2021
30. The influence of suction on the deformability of Highway subgrades: effects of moisture variation, compaction method and soil genesis
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Santos, Thaís Aquino dos, Pinheiro, Rinaldo Jose Barbosa, Motta, Laura Maria Goretti da, Specht, Luciano Pivoto, Baroni, Magnos, and Núñez, Washington Peres
- Subjects
Deformação permanente ,Módulo de resiliência ,Unsaturated soils ,Solos não saturados ,Matric suction ,Modelos de previsão ,Resilient modulus ,Permanent deformation ,Prediction models ,ENGENHARIAS::ENGENHARIA CIVIL [CNPQ] ,Sucção matricial - Abstract
ANP/Petrobras This thesis presents a study on the influence of suction on the resilient and plastic characteristics of highway subgrade soils. The main focus was to evaluate the variation of suction as a function of postcompaction moisture variations, associated with seasonal fluctuations and the equilibrium moisture content of the subgrade. However, other conditioning factors, related to the initial compaction characteristics, were also evaluated. For this purpose, three soils from the state of Rio Grande do Sul were defined, with distinct geological and geotechnical characteristics. The experimental program consisted of physical, chemical, mineralogical, microstructural and hydromechanical characterization tests. Among the most relevant tests, it is mentioned the obtaining of the soil-water characteristic curves using the filter paper technique and the repeated load triaxial tests to obtain the resilient modulus and permanent deformation. To simulate the range of moisture changes in the field, postcompaction moisture content variations of -4%, -2% and + 2% were adopted, according to the equilibrium moisture content observed on the subgrades of Brazilian highways. In addition to postconstruction moisture variation, other variables of interest associated with the compaction process were evaluated: moisture, effort and compaction method. It was found that the compaction method does not impact in the soil microstructure and, therefore, does not influence the evaluated properties of interest (stiffness and soil infiltrability). With the increase in compaction effort, a better arrangement of the particles was noted, resulting in an increase in the resilient modulus and a greater water holding capacity by the materials. The variation in compaction moisture content also caused microstructural changes, influencing the infiltration capacity, expansion, stiffness and plastic behavior of the soils: the higher the initial moisture content, the lower infiltration rate, expansion and stiffness of the materials and the greater their permanent deformations. Regarding the effects of postcompaction moisture variation, it was found that with drying there was an increase in the stiffness of the soils, while with wetting there was a reduction in that stiffness and a greater accumulation of permanent deformations of these materials, showing the influence of the matric suction variation on the performance of the three soils studied. Suction, as a fundamental parameter for understanding the behavior of unsaturated soils, was related to all the properties of interest evaluated in this work, corroborating its relevance in the study of this type of material. In addition, it proved to be the best variable to represent the effects of moisture variation on the elastic and plastic behavior of soils subjected to cyclical loads. In view of this, models for predicting the resilient modulus and permanent deformation were proposed with the inclusion of this parameter. The models proved to be highly predictive, constituting important tools to be incorporated into the current mechanistic-empirical design methods. Furthermore, it was found that permanent deformation is not a major factor in the performance of the studied soils used as subgrade of conventional flexible pavements, because for stress levels acting on this layer, deformations were low and, in general, tended to the shakedown state. Esta tese apresenta um estudo sobre a influência da sucção nas características resilientes e plásticas de solos de subleitos rodoviários. O enfoque principal foi avaliar a dinâmica da sucção em função das variações de umidade pós-compactação, associadas às flutuações sazonais e à umidade de equilíbrio do subleito. Não obstante, outros fatores condicionantes, relacionados às características iniciais de compactação, também foram avaliados. Para tanto, foram definidos três solos do estado do Rio Grande do Sul, com características geológicasgeotécnicas distintas. O programa experimental foi composto de ensaios de caracterização física, química, mineralógica, microestrutural e hidromecânica. Dentre os ensaios mais relevantes, podem-se citar a obtenção das curvas característica solo-água por meio da técnica do papel filtro e os ensaios triaxiais de cargas repetidas para obtenção do módulo de resiliência e da deformação permanente. Para simular a faixa de variação de umidade em campo, adotaram-se variações de umidade pós-compactação de -4%, -2% e +2%, consoantes às umidades de equilíbrio atuantes nos subleitos de rodovias brasileiras. Além das oscilações de umidade pós-construção, avaliaram-se outras variáveis de interesse associadas ao processo de compactação: umidade, energia e método de compactação. Verificou-se que o método de compactação não impacta na microestrutura dos solos e, portanto, não influencia nas propriedades de interesse avaliadas (rigidez e infiltrabilidade). Com o acréscimo da energia de compactação, notou-se um melhor arranjo das partículas, resultando em um acréscimo no módulo de resiliência e em uma maior capacidade de retenção de água por parte dos materiais. A variação de umidade de compactação também ocasionou mudanças microestruturais, influenciando na infiltrabilidade, expansão, rigidez e comportamento plástico dos solos: quanto maior o teor de umidade inicial, menor a infiltrabilidade, a expansão e a rigidez dos materiais e maiores as suas deformações permanentes acumuladas. No que tange aos efeitos da variação de umidade pós-compactação, constatou-se que com a secagem houve um aumento na rigidez dos solos, ao passo que com o umedecimento verificou-se a redução dessa rigidez e um maior acúmulo das deformações permanentes desses materiais, evidenciando a influência da variação da sucção matricial no desempenho dos três solos estudados. A sucção, como um parâmetro fundamental à compreensão do comportamento dos solos não saturados, apresentou relação com todas as propriedades de interesse avaliadas nesse trabalho, corroborando sua relevância no estudo desse tipo de material. Além disso, demonstrou ser a melhor variável para representar os efeitos da variação de umidade no comportamento elástico e plástico dos solos submetidos a carregamentos cíclicos. À vista disso, propuseram-se modelos de previsão de módulo de resiliência e deformação permanente com a inclusão desse parâmetro. Os modelos mostraram-se altamente preditivos, constituindo importantes ferramentas a serem incorporadas aos métodos de dimensionamento mecanístico-empíricos atuais. Ademais, verificou-se que a deformação permanente não é um fator preponderante no desempenho dos solos desse estudo utilizados como subleitos de pavimentos flexíveis convencionais, pois para níveis de tensões atuantes nessa camada, as deformações foram baixas e, no geral, tenderam ao estado de shakedown.
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- 2020
31. Enxaqueca e Estresse em Mulheres no Contexto da Atenção Primária.
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Leonetti Correia, Luciana and Martins Linhares, Maria Beatriz
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MIGRAINE , *PSYCHOLOGICAL stress research , *PSYCHOLOGY of women , *PSYCHOLOGICAL tests , *PREDICTION models - Abstract
The aim of the present study was to verify the relation between migraine and stress, and to identify the best predictor model for migraine, considering personal and environment variables. Migraine was identified applying the Test of the Brazilian Headache Society to 75 women without psychiatric history. Stress was identified by the Stress Symptom for Adults Inventory. Simultaneously, life events, socioeconomic level, and sample characteristics were assessed. According to the results, 55% of women presented migraine and 59% showed stress. The prediction model revealed that the presence of stress was the only predictor of the presence of migraine in women. These findings suggest an association between migraine and stress, which should be considered in the health assistance of women. [ABSTRACT FROM AUTHOR]
- Published
- 2014
- Full Text
- View/download PDF
32. SELEÇÃO DE ATRIBUTOS NA PREVISÃO DE INSOLVÊNCIA: APLICAÇÃO E AVALIAÇÃO USANDO DADOS BRASILEIROS RECENTES.
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MATHIASI HORTA, RUI AMÉRICO, DOS SANTOS ALVES, FRANCISCO JOSÉ, and AZEVEDO DE CARVALHO, FREDERICO ANTÔNIO
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BANKRUPTCY , *FINANCIAL institutions , *DECISION making , *PREDICTION models , *ECONOMIC indicators , *DATA analysis - Abstract
Bankruptcy prediction may have great utility to financial and nonfinancial institutions with regard to take in advance the best possible decisions regarding loans or investments. In specific literature, many bankruptcy prediction models have made use of data mining. The preprocessing step is important to select good quality data for use in mining operations. Still, although the selection of attributes can be very beneficial to pre-select representative data to improve the forecast performance end, it is not known which method is the best selection. This work has as main objective to compare two approaches for evaluating subsets of attributes: Filter and Wrapper. Despite being based on data mining techniques and widely used in the step of feature selection in bankruptcy prediction models, these techniques are rarely used to treat data from financial statements of Brazilian companies. Therefore the empirical basis of this study consists of a sample of Brazilian industrial and commercial enterprises, collecting data for the period 2004 to 2011. The results indicated that, in this sample, the filter approach was more efficient, providing better classification results both for logistic regression (91,80%) and for neural networks (93,98%). It was shown also the importance of making explicit the evaluation stage of the selection of attributes for achieving better results in applications of data mining techniques to predict insolvency. A specific conclusion about the advantages of the filter approach shows that it may be preferred to assess the attributes that will make predictive models. [ABSTRACT FROM AUTHOR]
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- 2014
- Full Text
- View/download PDF
33. RELAÇÃO ENTRE CULTURA ORGANIZACIONAL E ESTRATÉGIAS.
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DANJOUR, M. F., OLIVEIRA, P. W. S., and AÑEZ, M. E. M.
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CORPORATE culture , *HIGHER education & state , *UNIVERSITIES & colleges , *PREDICTION models - Abstract
This study presents as objective to establish the causal relationships between culture and organizational strategies adopted by the Higher Education Institutions (HEIs) of the Rio Grande do Norte state. It was a study of the explanatory type, predominantly quantitative with the thirty-one institutions. The data were treated by means of a predictive model of canonical correlation. The results indicated the existence of an entrepreneurial cultural style and a prospective strategic outlook as the predominant type. The canonical correlation results indicated a strong relationship between the variables, so that it was possible to identify that the 77.88% linear variation of the compound (organizational strategy) of the first function was influenced by the variation of another compound (organizational culture) that make it up. Finally, it can be concluded that this study confirms the relationship between the styles of organizational culture types and organizational strategies of the HEIs. [ABSTRACT FROM AUTHOR]
- Published
- 2014
34. Modelos de previsão de quebras de folha para a industria da pasta e papel
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Dias, Márcia Vanessa Pereira and Moniz, Samuel de Oliveira
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Pulp and paper industry ,Tissue machine ,Web breaks ,Decision trees ,Quebras de folha ,Modelos de previsão ,Árvores de decisão ,Máquina de papel ,Indústria da pasta e papel ,Prediction models - Abstract
Dissertação de Mestrado em Engenharia e Gestão Industrial apresentada à Faculdade de Ciências e Tecnologia Web breaks are one of the biggest problems in the pulp and paper industry, not only affecting the performance of the process, but also the quality and value of the final product. Therefore, being able to predict and avoid web breaks means significant gains in productivity and efficiency. In collaboration with The Navigator Company, this dissertation aims at creating a prediction model for the risk of web breaks in a tissue machine. Firstly, a system analysis is made in order to identify the essential characteristics of the problem. This step is followed by a data analysis that seeks to understand the relationships between selected variables. Besides that, it seeks to prepare the dataset for the learning phase of the model. Finally, decision trees are used in order to build the prediction model. It is noticed that making a solid web break prediction is hampered by the complexity of the process and that each condition cannot be explained by a small set of variables. A prediction model is achieved and it is tested with new and unknown data. It has accuracy greater than eighty percent and it only uses nineteen independent variables in its final version. A total of seven variables with the highest importance are identified and it should be the focus of attention in case of increased risk: pH value of white water, utilisation of the cleaning blade, grammage of the paper web, speed of the tissue machine, percentage of broke in the hood layer, vacuum of the suction roll and pH value of slush pulp. As quebras de folha apresentam-se como um dos maiores problemas na indústria da pasta e do papel, influenciando não só o desempenho do processo mas também a qualidade e valor do produto final. Assim, conseguir prever e evitar uma quebra de folha pode significar ganhos significativos de produtividade e eficiência. Com a colaboração da The Navigator Company, o presente trabalho visa construir um modelo de previsão do risco de ocorrer uma quebra de folha na máquina de papel tissue. Numa primeira fase, procede-se a uma análise do sistema de forma a identificar variáveis importantes ao problema. Segue-se uma análise de dados que procura conhecer a relação entre as variáveis selecionadas e que, para além disso, procura preparar a amostra que será usada na fase de aprendizagem do modelo. Por último, recorre-se a árvores de decisão de forma a construir o modelo de previsão. Percebe-se que fazer uma previsão sólida é dificultada pela complexidade do fabrico de tissue e que cada condição não consegue ser explicada por um pequeno conjunto de variáveis. Alcança-se um modelo de previsão que apresenta uma exatidão superior a 80% numa fase de teste com dados novos e desconhecidos para o mesmo, sendo que se recorre apenas a 19 variáveis independentes na sua versão final. São identificadas sete variáveis com o maior poder decisivo e que devem ser o foco de atenção perante o crescimento de risco de quebra: pH das águas brancas, lâmina de limpeza, gramagem, velocidade, percentagem de broke no hood layer, vácuo de sucção e pH da pasta slush.
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- 2020
35. Bioimpedance to predict lamb carcass composition and their retail cuts
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Moro, Anderson Bortoluzzi, Silva, Leila Picolli da, Pires, Cleber Cassol, Bertemes Filho, Pedro, Montanholi, Yuri Regis, and Kozloski, Gilberto Vilmar
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Resistive and reactive density ,Sheep ,Composição de carne ,Modelos de predição ,Bioimpedância elétrica ,CIENCIAS AGRARIAS::ZOOTECNIA [CNPQ] ,Meat composition ,Prediction models ,Bioimpedance electrical ,Densidade resistiva e reativa ,Ovinos - Abstract
Bioimpedance analysis (BIA) used to predict lamb carcass composition or their cuts is based on the different levels of opposition to the passage of an ionic current through its different constituents. Thus, the objective of this research was to evaluate the BIA potential to predict the composition of lamb carcasses and their cuts using accessory variables. Thirty-one lambs were slaughtered at predefined weights of 20, 26, 32 or 38 kg of live weight. Measurements of weight, length, resistance and reactance were collected from hot and cold carcasses and from the retail cuts (leg, rib, shoulder, and neck) and the longissimus dorsi muscle of the right half carcasses. From these measurements, other accessory variables of the BIA were calculated. The cuts were deboned to obtain the soft tissue mass (edible portion) of each cut and of the cold carcasses. Representative samples of each cut and of the longissimus dorsi muscle were chemically analyzed to obtain moisture, ash, protein, and fat masses. These compounds were used to determine the lean mass and the crude energy content of the longissimus dorsi muscle, of each cut and of the cold carcasses. The respective resistance, reactance, impedance, phase angle, bioelectric volume, resistive density and reactive density were used as independent variables to predict the composition of the longissimus dorsi muscle, the retail cuts, or the lamb carcasses. Leave-one-out cross validation was performed to assess the precision and accuracy of the predictive models. The prediction models of BIA in hot and cold carcasses resulted in 85.9% to 99.8% of the variation of the soft tissue constituents in lamb carcasses. The predictive models from the segmental BIA explained 53.3% to 99.9% of the variation of their components in the cuts and from 69.5% to 98.2% to predict the edible portion of lamb carcasses. However, the prediction models of BIA at longissimus dorsi muscle to estimate its own composition accounted for 67.5% to 99.1% in the variation of its constituents and for 82.8% to 91.7% in the variation of soft tissue constituents of the lamb carcasses. Resistive or reactive densities explained most of the variation in the prediction models obtained. These variables, together with bioelectric volume, improved the prediction models of the quantitative components either in hot as in cold carcasses. Furthermore, they were essential to estimate the composition of the edible portion of retail cuts from lamb carcasses and the compounds of the longissimus dorsi muscle. However, greater accuracy is expected with the use of BIA in cold carcasses compared to hot carcasses. Additionally, shoulder was the best predictive cut of the edible components of lamb carcasses by segmental BIA. Therefore, BIA is a simple technique, non-destructive, and it produces accurate results in predicting lamb carcass components and it might be incorporated both into research centers as in the lamb meat industry. A análise de bioimpedância (BIA) voltada a análise da composição de cortes ou da carcaça de cordeiros baseia-se nos diferentes níveis de oposição à passagem de uma corrente iônica pelos seus diferentes constituintes. Neste sentido, o objetivo desta pesquisa foi avaliar o potencial da BIA em estimar a composição da carcaça de cordeiros e de seus cortes com o uso de variáveis acessórias. Trinta e um cordeiros foram abatidos em pesos pré-definidos de 20, 26, 32 ou 38 kg de peso vivo. Medidas de peso, comprimento, resistência e reatância foram coletadas nas carcaças quente e fria e nos cortes regionais (pernil, costilhar, paleta e pescoço) e no músculo longissimus dorsi das meias-carcaças direitas. A partir dessas medidas, outras variáveis acessórias da BIA foram calculadas. Os cortes foram desossados para obter a massa dos tecidos moles (porção comestível) dos cortes e na carcaça fria. Amostras representativas de cada corte e do músculo longissimus dorsi foram analisadas quimicamente, para obter a massa de umidade, minerais, proteínas, gordura e para determinar a massa magra e o conteúdo de energia bruta de cada amostra e da carcaça fria de cordeiros. A resistência, reatância, impedância, ângulo de fase, volume bioelétrico, densidade resistiva e densidade reativa foram utilizadas como variáveis independentes para predizer os constituintes dos cortes e da carcaça de cordeiros. Análises de regressão múltipla foram realizadas para calibrar os modelos de BIA. A validação cruzada leave-one-out foi realizada para avaliar a precisão e exatidão desses modelos. Os modelos de predição da BIA na carcaça quente e fria resultaram em 85,9% até 99,8% da variação dos constituintes da porção comestível nas carcaças de cordeiros. Os modelos de predição da BIA segmentar para estimar a composição dos próprios cortes explicaram 53,3% até 99,9% da variação de seus componentes nos cortes e 69,5% até 98,2% na carcaça de cordeiros. Já os modelos de predição da BIA no músculo longissimus dorsi, para estimar sua própria composição, contabilizaram em 67,5% até 99,1% na variação de seus constituintes e 82,8% até 91,7% na variação dos componentes da carcaça. As densidades resistivas ou reativas explicaram a maior parte dessa variação nos modelos de predição obtidos. Essas variáveis, juntamente com o volume bioelétrico, melhoram os modelos de predição dos componentes quantitativos na carcaça quente e fria, e foram essenciais para estimar a composição da porção comestível de cortes regionais da carcaça de cordeiros e do músculo longissimus dorsi. No entanto, maior precisão e exatidão são esperadas com o uso da BIA nas carcaças frias em comparação com as carcaças quentes. Adicionalmente, a paleta foi o melhor corte preditivo dos componentes comestíveis das carcaças de cordeiros através da BIA. Neste sentido, a BIA é uma técnica simples, não destrutiva, que produz resultados precisos na estimativa de componentes da carcaça de cordeiros e pode ser incorporada em centros de pesquisa e na indústria da carne de cordeiros.
- Published
- 2020
36. ANÁLISE COMPARATIVA ENTRE OS PROTOCOLOS DE BANCO E EQUAÇÃO PREDITIVA PARA AVALIAÇÃO INDIRETA DO CONSUMO MÁXIMO DE OXIGÊNIO (VO2MÁX), E SUAS APLICAÇÕES PRÁTICAS.
- Author
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Benassi, Raphael, Silva Fontes, Carlos Augusto, Oliveira Gonçalves, Luis Carlos, de Oliveira, Artur Luis Bessa, and de Araujo, Alexandre Herculano Borges
- Subjects
OXYGEN in the body ,AEROBIC exercises ,PHYSICAL fitness ,CARDIOPULMONARY fitness ,COMPARATIVE studies ,PREDICTION models - Abstract
Copyright of Revista Brasileira de Prescrição e Fisiologia do Exercício is the property of Instituto Brasileiro de Pesquisa e Ensino em Fisiologia do Exercicio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2013
37. AVALIAÇÃO DE PARÂMETROS PREDITIVOS DE DESMAME VENTILATÓRIO E A SUA RELAÇÃO COM O DESFECHO PÓS-EXTUBAÇÃO.
- Author
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Uzeloto, Juliana Souza, Calciolari Rossi e Silva, Renata, Najas, Claudio Spinola, Lopes Pacagnelli, Francis, and Mungo Pissulin, Flávio Danilo
- Subjects
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PREDICTION models , *PARAMETERS (Statistics) , *EXTUBATION , *HEALTH outcome assessment , *RESPIRATION , *DECISION making - Abstract
The withdrawal of artificial respiration in the hospital environment is not always easy, so this decision should be based on the study of the patient in relation to clinical criteria, which will elect him to the spontaneous breathing test. Having success in this step, therefore, absence of signs that lead to interruption of the test, the team of intensivists should then begin the weaning attempt. Despite the existence of criteria in conducting the weaning process, the clinical aspects prevail for decision making, which shows doubt in usage. The aims of this study were: (1) examine the criteria used to choose patients to spontaneous breathing trial, (2) determine the criteria that lead to interruption of the spontaneous breathing test, (3) analyze the parameters observed before extubation and (4) relate items previously described with the outcome of each patient. Data from eight patient records were collected. Eligibility criteria for spontaneous breathing were noted, the parameters used for the disruption of the spontaneous breathing trial and extubation criteria as before. Moreover, the post-extubation regarding successful weaning outcome, the High Intensive Care Unit (ICU) and hospital deaths were recorded. The majority (87.5% to 100%) were positive for election to the spontaneous breathing test criteria. A minority (12.5% to 0%) showed the presence of criteria that lead to interruption of spontaneous breathing test. From the extubated patients (50%), all presented parameters predictive of extubation (seen before extubation) that was associated with positive outcome post-extubation. Non extubated patients (50%) died during hospitalization. It was concluded that could not observe an association between the criteria used to choose patients to spontaneous breathing and those employed to interrupt the spontaneous breathing with the number of individual extubated. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
38. INOVAÇÃO, ESTRATÉGIA, ORIENTAÇÃO PARA O MERCADO E EMPREENDEDORISMO: IDENTIFICAÇÃO DE CLUSTERS DE EMPRESAS E TESTE DE MODELO DE PREDIÇÃO DO DESEMPENHO NOS NEGÓCIOS.
- Author
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Gonçalves Filho, Cid, Veit, Mara Regina, and Reis Monteiro, Plínio Rafael
- Subjects
INNOVATIONS in business ,STRATEGIC planning ,MARKET orientation ,ENTREPRENEURSHIP ,ORGANIZATIONAL performance ,SMALL business ,PREDICTION models - Abstract
Copyright of Revista de Administração e Inovação (RAI) is the property of Revista de Administracao e Inovacao- RAI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2013
- Full Text
- View/download PDF
39. COMPOSIÇÃO QUÍMICA E VALORES DE ENERGIA METABOLIZÁVEL DE INGREDIENTES ALTERNATIVOS PARA FRANGOS DE CORTE.
- Author
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DOS SANTOS, MARCOS JOSÉBATISTA, MARQUES LUDKE, MARIA CARMO MOHAUPT, LUDKE, JORGE VITOR, TORRES, THAYSA RODRIGUES, DOS SANTOS LOPES, LETÍCIA, and BRITO, MARIANY SOUZA
- Subjects
METABOLIZABLE energy values ,BROILER chickens ,COTTONSEED meal as feed ,SORGHUM ,PREDICTION models - Abstract
Copyright of Ciência Animal Brasileira is the property of Universidade Federal de Goias, Escola de Veterinaria and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2013
- Full Text
- View/download PDF
40. Análise e validação de modelos probabilísticos de malignidade de nódulo pulmonar solitário em uma população no Brasil.
- Author
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de Carvalho Melo, Cromwell Barbosa, Juliano Perfeito, João Aléssio, Daud, Danilo Félix, Costa Júnior, Altair da Silva, Santoro, Ilka Lopes, and Villaça Leão, Luiz Eduardo
- Subjects
SMALL cell lung cancer ,CANCER risk factors ,CANCER histopathology ,CANCER radiotherapy ,RETROSPECTIVE studies ,POPULATION ,PREDICTION models ,DIAGNOSIS - Abstract
Copyright of Brazilian Journal of Pulmonology / Jornal Brasileiro de Pneumologia is the property of Sociedade Brasileira de Pneumologia e Tisiologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2012
- Full Text
- View/download PDF
41. Validação de modelos de predição das concentrações de nitrogênio ureico no leite do rebanho de vacas holandesas.
- Author
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MEYER, Paula Marques, MACHADO, Paulo Fernando, COLDEBELLA, Arlei, CASSOLI, Laerte Dagher, COELHO, Karyne Oliveira, and RODRIGUES, Paulo Henrique Mazza
- Subjects
PREDICTION models ,COMPOSITION of milk ,DAIRY cattle feeding & feeds ,FEED utilization efficiency of cattle ,HOLSTEIN-Friesian cattle ,MILK yield ,CATTLE weight - Abstract
Copyright of Revista Brasileira de Saúde e Produção Animal (RBSPA) is the property of Revista Brasileira de Saude e Producao Animal (RBSPA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2012
- Full Text
- View/download PDF
42. TEORIA FUNCIONALISTA DOS VALORES HUMANOS: EVIDÊNCIAS DE SUA ADEQUAÇÃO NO CONTEXTO PARAIBANO.
- Author
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DE MEDEIROS, EMERSON DIÓGENES, GOUVEIA, VALDINEY VELOSO, GUSMÃO, ESTEFÂNEA ÉLIDA DA SILVA, MILFONT, TACIANO LEMOS, FONSECA, PATRÍCIA NUNES DA, and DE AQUINO, THIAGO ANTONIO AVELLAR
- Subjects
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DIFFERENTIAL values inventory , *BRAZILIAN states , *FUNCTIONAL analysis , *CONFIRMATORY factor analysis , *ECONOMIC structure , *PREDICTION models , *ECONOMIC indicators - Abstract
This study examined the adequacy of the functional theory of human values in the Brazilian state of Paraiba, focusing on the content and structure hypotheses derived from the theory. The first predicts the saturation of three value-items in each of the six theorized value subfunctions. The second predicts a duplex structure for the spatial representation of values based on two specific dimensions, type of orientation (personal, central and social) and type of motivator (materialist and idealist). Participants were 12,706 individuals from the general population with a mean age of 20 years, and in their majority female (58.5%), single (38.3%) and with a high school qualification (41.8%). Confirmatory factor analysis tested the content hypothesis, assuming that six value subfunctions would account for the variance among the 18 value-items (predicted model), compared to alternative factor structures with one, two, three or five factors. As expected, the proposed model had good fit to the data (AGFI = 0.94, CFI = 0.88, and RMSEA = 0.05) and was better fitting than alternative models. The structure hypothesis was tested by means of confirmatory multidimensional scaling (Proxscal), using the Tucker Phi (φ) as an indicator of model fit. This fit indicator was above the recommended cut-off (φ = 0.94), indicating that values can be represented in a 3 (type of orientation: personal, central, or social) x 2 (type of motivator: materialist or idealist) bi-dimensional space. Even with limitations, such as the use of a convenience sample instead of a probability sample, it can be concluded that the results support the adequacy of this theory in the studied Brazilian context. [ABSTRACT FROM AUTHOR]
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- 2012
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43. AVALIAÇÃO DE MUDANÇAS NA FREQUÊNCIA DE SISTEMAS FRONTAIS SOBRE O SUL DA AMÉRICA DO SUL EM PROJEÇÕES DO CLIMA FUTURO.
- Author
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Kelen Martins Andrade, Müller, Gabriela V., Cavalcanti, Iracema F.A, Fernandez Long, María E., Bidegain, Mario, and Berri, Guillermo
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CLIMATE change , *PREDICTION models , *MERIDIONAL winds , *FRONTS (Meteorology) - Abstract
The frequency of frontal systems reaching the south of South America is compared with reanalysis NCEP/NCAR and results of GFDL and Hadley models for the future climate. Three regions were analyzed to identify the frontal systems, in areas of Brazil, Uruguay, Paraguay and Argentina. The following criteria were used: increase of sea surface pressure, reduction of the temperature and change of the meridional wind at 850hPa, in two consecutive days. Selected cases with temperature drop above five degrees, considered the most intense, were also analyzed. For the present climate it was observed that the models simulated well the synoptic characteristics of frontal systems. However, when comparing the frequency of frontal occurrence between reanalysis data and models simulations, the GFDL and Hadley models overestimated their numbers. The Hadley model overestimates further more than the NCEP and GFDL in present climate. The positive trend observed in area 3 (65°W-60°W, 33°S-38°S) from NCEP reanalysis is not simulated by the models. When the most intense systems are selected, the GFDL model shows higher overestimation in number of frontal systems. Both models indicate an increase of frontal systems frequency in future in the three areas, although less in area 3. [ABSTRACT FROM AUTHOR]
- Published
- 2012
44. Modelos de predição de chuvas intensas para o estado do Mato Grosso, Brasil.
- Author
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Coutinho de Oliveira, Luiz Fernando, Ribeiro Viola, Marcelo, Pereira, Sidney, and Rúbia de Morais, Nara
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RAINFALL ,RAINFALL intensity duration frequencies ,PREDICTION models ,RAINFALL frequencies - Abstract
Copyright of Revista Ambiente e Água is the property of Revista Ambiente e Agua and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2011
- Full Text
- View/download PDF
45. DISCLOSURE DE ESTRATÉGIA EM RELATÓRIOS ANUAIS: UMA ANÁLISE DE DIMENSÕES CULTURAIS, DE SISTEMA LEGAL E DE GOVERNANÇA CORPORATIVA EM EMPRESAS DE QUATRO PAÍSES.
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PAGLIARUSSI, MARCELO SANCHES and LIBERATO, GIULIANA BRONZONI
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FINANCIAL planning , *CORPORATION reports , *CORPORATE governance , *SOCIOCULTURAL factors , *JUSTICE administration , *PREDICTION models , *HYPOTHESIS , *CONTENT analysis - Abstract
This study aimed at offering explanations for the differences observed in the level of disclosure of aspects related to the strategy identified in the annual reports of a sample of companies of the United States, the United kingdom, France, and Brazil. Three core theoretical elements were connected to explain the variations in the level of disclosure within the sample: cultural dimensions, legal system, and corporate governance. we built a prediction matrix based on the theoretical assumptions and the strategy disclosure was approached in each report through the technique of thematic content analysis. The sample consisted of 73 annual reports of companies of four countries in 2006. The hypotheses were tested through linear regression analysis and non-parametric tests of mean equalities. The results partially supported the hypothesis presented, which states that there is a significant influence from the cultural variables, the legal system, and the corporate governance of each country on the levels of strategy disclosure observed in the annual reports. The most significant differences are related to each country's legal system. The companies of the sample trading in the United States and the United kingdom, countries that follow a consuetudinary law (Common Law), presented higher levels of strategy disclosure than those trading in France and Brazil, countries that follow the Roman law (Civil Law). This study contributes to the literature on strategy disclosure providing empirical evidence that the legal system does influence on the quantity of strategic information revealed by the open capital companies. However, the process of manual content analysis adopted here is a constraint regarding the sample size. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
46. Avaliação de um modelo de predição para apneia do sono em pacientes submetidos a polissonografia.
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Musman, Silvio, De Azeredo Passos, Valéria Maria, Silva, Izabella Barreto Romualdo, and Barreto, Sandhi Maria
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PREDICTION models ,SLEEP apnea syndromes ,POLYSOMNOGRAPHY ,SOCIODEMOGRAPHIC factors ,BODY mass index ,LOGISTIC regression analysis - Abstract
Copyright of Brazilian Journal of Pulmonology / Jornal Brasileiro de Pneumologia is the property of Sociedade Brasileira de Pneumologia e Tisiologia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2011
- Full Text
- View/download PDF
47. Comparison between Manual and Software Surgical Planning Predictions in Orthognathic Surgery.
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Ordobazari, Morteza, Davoudian, Masoude, and Ordobazari, Atousa
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JAW surgery ,COMPUTER software ,CEPHALOMETRY ,ORTHODONTICS ,MALOCCLUSION ,COMPARATIVE studies ,PREDICTION models - Abstract
Copyright of Pesquisa Brasileira em Odontopediatria e Clinica Integrada is the property of Pesquisa Brasileira em Odontopediatria e Clinica Integrada Journal (Brazil) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2010
- Full Text
- View/download PDF
48. Precisão das equações preditivas de 1-RM em praticantes não competitivos de treino de força.
- Author
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Lacio, M. L., Damasceno, V. O., Vianna, J. M., Lima, J. R. P., Reis, V. M., Brito, J. P., and Filho, J. Fernandes
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MUSCLE strength testing , *PHYSICAL fitness research , *PREDICTION models , *ANALYSIS of variance , *BENCH press , *STRENGTH training - Abstract
The purpose of this study was to assess the precision of the 1-RM prediction equations proposed by Adams (1994), Baechle and Groves (2000), Brzycki (1993), Epley (1985), Lander (1985) and O’Conner et al. (1989) for strength assessment in fitness programs. Thirty one healthy regular strength training male practitioners (mean ± SD: 21.8 ± 4.0 years of age; 75.9 ± 8.4 kg of weight; and 178.1 ± 6.4 cm of height) performed two tests on the bench press exercise: (a) maximum test - determination of the 1-RM load; and (b) submaximum test - determination of the load matching 4 to 10 maximum repetitions. Analysis of variance (ANOVA) found no significant difference (p > .05) between maximum load determination through prediction equations or through the 1-RM test. The coefficient of determination (r2) varied from .94 to .96. The prediction equations had small standard error of estimate (2.7 to 3.2 kg). Results indicate that the 1-RM prediction equations could be used to determine the maximum load at the bench press exercise in subjects with low strength training experience. [ABSTRACT FROM AUTHOR]
- Published
- 2010
49. PROBABILIDADE BAYESIANA E RE GRESSÃO LOGÍSTICA NA AVALIAÇÃO DA SUSCEPTIBILIDADE DE OCORRÊNCIA DE INCÊNDIOS DE GRANDE MAGNITUDE.
- Author
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Bergonse, Rafaello V. and Bidarra, João M.
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WILDFIRES , *BAYESIAN analysis , *FIRE risk assessment , *FOREST fires , *LOGISTIC regression analysis , *PREDICTION models , *ENVIRONMENTAL degradation - Abstract
The aim of this paper is to apply a susceptibility model to high magnitude wildfires - with the latter defined as the small fraction of the total number of occurrences that causes most of the annual damage. This type of frequency/ magnitude relation is characteristic of wildfire regimes in southern European countries. Drawing on the analysis of burnt-area maps for the period 1990-2007 in the Castelo Branco district, a wildfire classification method is put forth and a model is tested using two alternative data integration techniques: one based on Logistic Regression, the other on Bayesian probability. The results indicate that the Bayesian technique has slightly greater predictive capability and confirm that the proposed model is adjusted to the behaviour of wildfires considered to be of high magnitude. Although the suggested model may usefully undergo future improvements in order to increase its predictive capability, it can already be used to complement other forms of susceptibility/ hazard analysis, by highlighting the areas that are most likely to be affected by the most destructive wildfire events. [ABSTRACT FROM AUTHOR]
- Published
- 2010
50. Avaliação da sonda Grassmaster II como ferramenta para estimativa da produtividade de pastagens de sequeiro no Alentejo
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Serrano, João, Carreira, Emanuel, Fonseca, André, Shahidian, S., Marques da Silva, J., and SCAP
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sonda ,dry matter ,permanent pastures ,prediction models ,matéria seca ,probe ,differential management ,gestão diferenciada ,pastagens permanentes ,modelos de previsão - Abstract
A estimativa da produtividade das pastagens ao longo do seu ciclo vegetativo é um indicador de grande interesse para os agricultores para efeitos de planeamento e apoio à tomada de decisão. A gestão do pastoreio animal, em termos de encabeçamento em cada parcela, da rotação dos animais entre estas, do cálculo das necessidades de aprovisionamento de forragem e de suplementação alimentar, baseia-se na produtividade. O método tradicional para medir a produtividade da pastagem envolve o corte da matéria verde numa determinada área, o que constitui um processo demorado e caro para recolher um número de amostras representativo. Neste trabalho apresentam-se os resultados de ensaios realizados entre 2007 e 2018 para calibrar uma sonda (Grassmaster II) em três parcelas agrícolas de montado no Alentejo. Foi utilizada a sonda em 1279 pontos de amostragem, nos quais se recolheram amostras de pastagem para determinação da produtividade (biomassa total e produção de matéria seca). Foi realizada uma análise de regressão mensal entre as leituras corrigidas da sonda (Corrected Meter Reading, CMR) e os valores de matéria verde e de matéria seca da pastagem (respectivamente, MV e MS, em kg ha-1). Os resultados obtidos mostraram fortes correlações entre a produtividade da pastagem e as leituras da sonda, especialmente nos meses de Fevereiro (r=0,936; p, Revista de Ciências Agrárias, vol. 41 n.º 4 (2018)
- Published
- 2019
- Full Text
- View/download PDF
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