Data Model
Mostrando 1-12 de 12115 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. Effect of preoperative anxiety level on postoperative pain, analgesic consumption in patients undergoing laparoscopic sleeve gastrectomy: an observational cohort study
Abstract Backgraund: This prospective observational cohort study aimed to investigate the relationship between preoperative anxiety levels and postoperative pain and analgesic requirement in patients undergoing laparoscopic sleeve gastrectomy. Methods: Forty two female patients with body mass index ≥ 35, who underwent laparoscopic sleeve gastrectomy for
Brazilian Journal of Anesthesiology. Publicado em: 2023
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3. Rethinking abusive supervision: antecedents and reparative mechanisms of abusive supervision, including supervisor frustration, coworker support, guilt, and supervisor OCB in a mediated-moderation model
Abstract Purpose Drawing on affective events theory, this study positions role overload and supervisor frustration as antecedents of abusive supervision, leading to supervisor-led organizational citizenship behavior. In a mediated-moderation-sed analysis, we question whether coworker support moderates the relationship between supervisor frustration and abus
Revista Brasileira de Gestão de Negócios. Publicado em: 2023
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4. Violent behavior, perceived safety, and assault experiences among adolescents: results from the Brazilian National Adolescent School-based Health Survey
Objective To investigate factors associated with violent behavior in a large nationally representative sample of Brazilian adolescents. Methods The data were derived from the 2015 National Adolescent School-based Health Survey (Pesquisa Nacional de Saúde do Escolar [PeNSE]). The independent variables of interest included feelings of safety while on the way
Brazilian Journal of Psychiatry. Publicado em: 2023
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5. ADSORPTION OF ATRAZINE IN RICE HUSK BIOCHARS: A PHENOMENOLOGICAL MODEL APPLIED TO EQUILIBRIUM AND KINETIC STUDIES
ABSTRACT Atrazine is an herbicide used to remove weeds in agricultural crops; however, because it is considered toxic, options for removing it from the environment are needed. Adsorption on biochar is an efficient technique for removing organic contaminants. In this study, the atrazine adsorption capacities of two biochars (BCA400 and BCA700) produced from r
Engenharia Agrícola. Publicado em: 2022
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6. Predictive model for difficult laryngoscopy using machine learning: retrospective cohort study
Abstract Background Both predictions and predictors of difficult laryngoscopy are controversial. Machine learning is an excellent alternative method for predicting difficult laryngoscopy. This study aimed to develop and validate practical predictive models for difficult laryngoscopy through machine learning. Methods Variables for the prediction of difficul
Brazilian Journal of Anesthesiology. Publicado em: 2022
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7. Derivation and validation of a national multicenter mortality risk stratification model - the ExCare model: a study protocol
Abstract Introduction Surgical care is essential for proper management of various diseases. However, it can result in unfavorable outcomes. In order to identify patients at higher risk of complications, several risk stratification models have been developed. Ideally, these tools should be simple, reproducible, accurate, and externally validated. Unfortunate
Brazilian Journal of Anesthesiology. Publicado em: 2022
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8. Health Professionals and the Dynamics of COVID-19 in Manaus during the First Wave
ABSTRACT A model is made for the dynamics of the transmission of the new SARS-CoV-2 coronavirus, which caused the COVID-19 pandemic. This model is based on the Susceptible-Infectious-Recovered model with heterogeneity in the susceptible population and in the infectious population. The susceptible population is divided into two subpopulations: individuals who
Trends in Computational and Applied Mathematics. Publicado em: 2022
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9. Comparative Study of Some Numerical Schemes for a Fractional Order Model of HIV Infection Treatment
ABSTRACT A fractional order mathematical model that already exists in the literature, was considered. This model was established to study the effects of medicinal treatment in people infected with the human immunodeficiency virus (HIV). The importance of this study is that the model evaluates, among other parameters, the density of healthy and HIV-infected C
Trends in Computational and Applied Mathematics. Publicado em: 2022
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10. A Novel In Silico Monte Carlo Approach to Optimize a PSD Estimation Problem. Generation of Data Fusion Experiment Rules
ABSTRACT This article analyzes the performance of combining information from Scanning Electron Microscopy (SEM) micrographs with Static Light Scattering (SLS) measurements for retrieving the so-called Particle Size Distribution (PSD) in terms of experimental features. The corresponding data fusion is implemented using a novel Monte Carlo-based method consist
Trends in Computational and Applied Mathematics. Publicado em: 2022
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11. A Finite-Difference Time-Domain Formulation for Modeling Air Ionization Breakdown Streamers
Abstract A numerical model based on the finite-difference time-domain (FDTD) method is developed for calculating discharge currents and fields produced due air ionization between two electrodes. Electric conductivity σ of the ionized channel between two electrodes is calculated using non-linear equations, i.e., σ is obtained using functions of time. The fu
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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12. Clinical Significance of HSCARG for Atherosclerotic Coronary Heart Disease and Reduced ROS-Oxidative Stress in in Vivo and in Vitro Models via p47phox by NF-κB Activity
ABSTRACT Introduction: Coronary heart disease (CHD) is a dynamic process in which there are interactions between endothelial dysfunction, oxidative stress, and inflammatory responses. The aim of the present study was to investigate the function and mechanism of HSCARG in the treatment of CHD. Methods: Male apolipoprotein E/low-density lipoprotein receptor-
Brazilian Journal of Cardiovascular Surgery. Publicado em: 2022