Data Models
Mostrando 1-12 de 4918 artigos, teses e dissertações.
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1. Qual a definição de urgência em saúde mental para atendimento na Atenção Primária na Saúde?
Segundo o Ministério da Saúde
(1)
as urgências em saúde mental podem ser consideradas, no contexto da Atenção Primária em Saúde (APS), como situações de crise. No geral, os vários tipos de crise têm como expressões mais comuns o alvoroço, desorganização, confusão, comportamento violento, insegurança, tristeza, apatia, med
Núcleo de Telessaúde Mato Grosso do Sul. Publicado em: 12/06/2023
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2. Ultra-processed foods and the nutritional quality of the diet of Brazilian pregnant women
SUMMARY OBJECTIVE: The aim of this study was to evaluate the consumption of ultra-processed foods by Brazilian pregnant women and its association with the nutritional quality of the diet. METHODS: This is a prospective and cross-sectional study with food consumption data of Brazilian pregnant women from the 2017 to 2018 Family Budgets Survey (Pesquisa de O
Revista da Associação Médica Brasileira. Publicado em: 2023
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3. 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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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. Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Abstract Objective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Methods: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care
Jornal de Pediatria. Publicado em: 2023
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6. NATURAL LANGUAGE AT A CROSSROADS: FORMAL AND PROBABILISTIC APPROACHES IN PHILOSOPHY AND COMPUTER SCIENCE
Abstract Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, computer science has been increasingly favoring probabilistic models. After presenting these two approaches in more detail, we discuss some of their m
Manuscrito. Publicado em: 2022
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7. Three-Dimensional Printing in Minimally Invasive Cardiac Surgery: Optimizing Surgical Planning and Education with Life-Like Models
Abstract Over recent years, the surgical community has demonstrated a growing interest in imaging advancements that enable more detailed and accurate preoperative diagnoses. Alongside with traditional imaging methods, three-dimensional (3-D) printing emerged as an attractive tool to complement pathology assessment and surgical planning. Minimally invasive ca
Brazilian Journal of Cardiovascular Surgery. Publicado em: 2022
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8. Mobilizing a pluralist theoretical approach to understand microlending digital platforms: the AfricaMC case
Abstract Purpose This study aims to explore how a microlending digital platform connects social investors in developed countries and micro-entrepreneurs in Africa. However, additional research is necessary to discuss how online auction models are designed and implemented and how existing theories can explain their use in the so-called developing countries.
RAUSP Management Journal. Publicado em: 2022
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9. Rapid Recognizing the Producing Area of a Tobacco Leaf Using Near-Infrared Technology and a Multi-Layer Extreme Learning Machine Algorithm
A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the ac
Journal of the Brazilian Chemical Society. Publicado em: 2022
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10. 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
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11. Blockchain in education: the influence of trust on adoption and implementation
Abstract Purpose This paper aims to investigate the influence of trust on adopting and implementing blockchain technology in higher education institutions (HEIs) in Brazil. Design/methodology/approach This study uses an exploratory qualitative approach to understand the construct of trust in the context of the educational sector. Data were collected throug
RAUSP Management Journal. Publicado em: 2022
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12. 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