Feature Models
Mostrando 1-12 de 193 artigos, teses e dissertações.
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1. Encoding of Luminescent Ink Markers Using Low-Level Data Fusion and Chemometrics
The identification and analysis of documentary fraud is always a challenge for forensic science. Document analysis has proven to be an important branch of forensics in elucidating the authenticity of documents. The development and incorporation of luminescent inks in authentic documents have proved to be an excellent security feature. This paper purposes the
Journal of the Brazilian Chemical Society. Publicado em: 2023
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2. Exploring Major Themes in Applied Linguistics: Local and Global Contexts
Abstract This study aims at showing how L1 word stress affects L2 word naming for cognates and non-cognates in two lexical stress languages, Brazilian Portuguese (BP, L1) and American English (AE, L2). Based on the bilingualism literature, there are indications that the access to the lexicon is non-selective, thus, cognate words would have a facilitation eff
Ilha Desterro. Publicado em: 2020-04
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3. Retrieving L2 word stress from orthography: Evidence from word naming and cross-modal priming
Abstract This study aims at showing how L1 word stress affects L2 word naming for cognates and non-cognates in two lexical stress languages, Brazilian Portuguese (BP, L1) and American English (AE, L2). Based on the bilingualism literature, there are indications that the access to the lexicon is non-selective, thus, cognate words would have a facilitation eff
Ilha Desterro. Publicado em: 2020-04
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4. Role of Adiponectin in prostate cancer
ABSTRACT Obesity is defined as a chronic and excessive growth of adipose tissue. It has been associated with a high risk for development and progression of obesity-associated malignancies, while adipokines may mediate this association. Adiponectin is an adipose tissue-derived adipokines, with significant anti-diabetic, anti-inflammatory, anti-atherosclerotic
Int. braz j urol.. Publicado em: 27/05/2019
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5. Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria
Efficient evaluation of biotoxicity of organics is of vital significance to resource utilization and environmental protection. In this study, toxicity of 110 alcohol compounds to tadpoles of Rana temporaria is adopted as the dependent variable and 1388 physiochemical parameters (features) calculated by PCLIENT are used for representing each compound. A featu
J. Braz. Chem. Soc.. Publicado em: 2019-02
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6. Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved in soil mapping. This paper investigated the performance of
Rev. Bras. Ciênc. Solo. Publicado em: 14/11/2018
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7. Lessons and perspectives for applications of stochastic models in biological and cancer research
The effects of randomness, an unavoidable feature of intracellular environments, are observed at higher hierarchical levels of living matter organization, such as cells, tissues, and organisms. Additionally, the many compounds interacting as a well-orchestrated network of reactions increase the difficulties of assessing these systems using only experiments.
Clinics. Publicado em: 21/09/2018
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8. Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti
ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map soils in western Haiti and compare the performance of the Multinomial Logistic Regression (MLR) with Random Forest (RF) to
Rev. Bras. Ciênc. Solo. Publicado em: 02/07/2018
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9. Using rodogram function to characterize hurst coefficient in rock profiles
Abstract Roughness is a fundamental feature to define rock deformability and resistance. A detailed characterization of discontinuity surface geometry is essential for understanding some of the rock’s mechanical behaviors. Fractal geometry has been used by several authors to correlate parameters such as the Hurst coefficient for JRC (Joint Roughness coeffi
REM, Int. Eng. J.. Publicado em: 2018-07
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10. Primary and secondary modeling of Brochothrix thermosphacta growth under different temperature and ph values
Abstract Bochothrix thermosphacta is an optional aerobic psychrotrophic related to the meat deterioration and consequently loss of a refrigerated cargo contaminated. Predictive microbiology can be used as a quality assurance tool, since it allows the prediction of microbial response based in pass observations. This work aimed model the growth of B. thermosph
Food Sci. Technol. Publicado em: 11/06/2018
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11. Eggshell Qualities as Indicative of Eggshell Strength for Layer Selection
ABSTRACT The study aimed at investigating which of four traits is the most representative of eggshell strength (destructive eggshell thickness measurement, eggshell weight, egg specific gravity, ultrasonic measurement of eggshell thickness) and could be used for selection purposes. To date, investigations focused mostly on pairwise (eggshell strength vs. ano
Rev. Bras. Cienc. Avic.. Publicado em: 2018-03
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12. Hybrid Geoid Model: Theory and Application in Brazil
Determination of the ellipsoidal height by Global Navigation Satellite Systems (GNSS) is becoming better known and used for purposes of leveling with the aid of geoid models. However, the disadvantage of this method is the quality of the geoid models, which degrade heights and limit the application of the method. In order to provide better quality in transfo
An. Acad. Bras. Ciênc.. Publicado em: 2017-09