Failure Models
Mostrando 1-12 de 314 artigos, teses e dissertações.
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1. Development of a prognostic model for pediatric acute liver failure in a Brazilian center
Abstract Objective: Pediatric acute liver failure (PALF) is a heterogeneous, rare, and severe condition, which outcome is survival due to liver spontaneous recovery or death. The patients who do not recover may be allocated to liver transplantation, which is the standard treatment. This study aimed to build a prognostic model to support the clinical decisio
Jornal de Pediatria. Publicado em: 2022
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2. Unplanned dilution back analysis in an underground mine using numerical models
Abstract In underground mines, stability problems can cause unplanned dilution, increasing the costs of mining operations, such as loading, transport, crushing and grinding. This is usually dealt with by simply increasing investments with support. However, the design geometry of stopes and drifts also has a great effect on a stope’s stability. The use of e
REM - International Engineering Journal. Publicado em: 2022
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3. Physical Training Improves Cardiac Structure and Function of Rats After Doxorubicin-Induced Cardiomyopathy
Abstract Background: The use of doxorubicin in chemotherapy has been associated with cardiotoxicity and heart failure. Physical exercise produces favorable morphofunctional adaptations in the cardiovascular system and may reverse cardiac dysfunction in patients undergoing chemotherapy. Objective: To assess the effects of physical training on myocardial str
International Journal of Cardiovascular Sciences. Publicado em: 2022
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4. 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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5. Evaluation of the prevalence and factors associated with acute kidney injury in a pediatric intensive care unit
Abstract Objective To assess the prevalence of acute kidney injury in pediatric intensive care unit according to diagnostic criteria - pediatric risk, injury, failure, loss, end-stage renal disease, Acute Kidney Injury Network and Acute Kidney Injury Work Group, or Kidney Disease: Improving Global Outcomes -, and determining factors associated with acute ki
J. Pediatr. (Rio J.). Publicado em: 2021-08
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6. Long term outcomes of one-stage augmentation anterior urethroplasty: a systematic review and meta-analysis
ABSTRACT Objective: The objective is to summarize and characterize the long-term success of anterior augmentation urethroplasty (AU) in published series. The current literature on AU consists largely of retrospective series reporting intermediate follow-up and incompletely characterize the long term outcomes of AU. Materials and Methods: A systematic liter
Int. braz j urol.. Publicado em: 2021-03
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7. Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery
The increasing availability of extensive collections of chemical compounds associated with experimental data provides an opportunity to build predictive quantitative structure-activity relationship (QSAR) models using machine learning (ML) algorithms. These models can promote data-driven decisions and have the potential to speed up the drug discovery process
J. Braz. Chem. Soc.. Publicado em: 2021-01
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8. Mortality Trends from Cardiovascular Diseases in the State of Bahia, Brazil, between 2000 and 2015
Abstract Background: Mortality from cardiovascular diseases has reduced in Brazil in recent decades, but this phenomenon is not clear in the northeast region of the country. Objectives: To describe the mortality trends from cardiovascular disease in Bahia from 2000-2015, in total population and by sex and age groups, and by specific causes (ischemic heart
Int. J. Cardiovasc. Sci.. Publicado em: 2020-12
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9. APPARENT DENSITY AS AN ESTIMATOR OF WOOD PROPERTIES OBTAINED IN TESTS WHERE FAILURE IS FRAGILE
ABSTRACT The use of new wood species in construction requires knowledge of their properties for safer and more economical structural sizing. In Brazil, structural projects are carried out according to the standard document ABNT NBR 7190:1997. Tests required by this standard for the complete characterization of species require large machines with high costs,
Eng. Agríc.. Publicado em: 2020-02
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10. Características e preditores de doença crítica crônica na unidade de terapia intensiva
RESUMO Objetivo: Caracterizar os pacientes com doença crítica crônica e identificar os preditores relacionados à evolução para doença crítica crônica. Métodos: Coleta prospectiva de dados por 1 ano realizada na unidade de terapia intensiva de um hospital geral localizado na Região Sul do país. Construíram-se três modelos de regressão logíst
Rev. bras. ter. intensiva. Publicado em: 20/01/2020
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11. ANALYSIS OF GRADE REPETITION THROUGH MULTILEVEL MODELS: A STUDY FROM PORTUGAL
Resumo Este artigo investiga a retenção escolar em Portugal usando microdados. Com a aplicação de modelos multinível, analisa-se o número de retenções no ensino obrigatório - variável explicada -, considerando como potenciais variáveis explicativas - características individuais do aluno, seu contexto familiar em termos sociodemográficos e econó
Cad. Pesqui.. Publicado em: 09/12/2019
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12. Interfacial bond-slip relationship between Carbon Fiber Reinforced Polymer Plate and Concrete after High Temperature of Asphalt Paving Construction
Abstract The bond-slip relationship of Carbon Fiber Reinforced Polymer (CFRP) plate-concrete after the influence of high temperature action of Stone Mastic Asphalt (SMA) paving was investigated in this article. Two groups of double shear specimens with different bonding length were designed and tested. Based on the test results, the failure modes of specimen
Lat. Am. j. solids struct.. Publicado em: 25/11/2019