Dataset
Mostrando 1-12 de 351 artigos, teses e dissertações.
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1. ECG Signals Classification Using Overlapping Variables to Detect Atrial Fibrillation
ABSTRACT In the present work a method for the detection of the cardiac pathology known as atrial fibrillation is proposed by calculating different information, statistics and other nonlinear measures over ECG signals. The original database contains records corresponding to patients who are diagnosed with this disease as well as healthy subjects. To formulate
Trends in Computational and Applied Mathematics. Publicado em: 2022
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2. A note on inattention: Evidence from library services in São Paulo
Abstract This note provides evidence on inattention in an information commons. Employing a large dataset compiling daily transactions in libraries, we compare a specific compliance behavior of library users over weekdays. If inattention affects rule compliance, then one would plausibly expect greater return delays in periods of potentially higher inattention
Revista Brasileira de Economia. Publicado em: 2022
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3. Main and moderated effects of multimorbidity and depressive symptoms on cognition
Objective: Multimorbidity, or the occurrence of two or more chronic conditions, is a global challenge, with implications for mortality, morbidity, disability, and life quality. Psychiatric disorders are common among the chronic diseases that affect patients with multimorbidity. It is still not well understood whether psychiatric symptoms, especially depressi
Brazilian Journal of Psychiatry. Publicado em: 2022
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4. Testing the consumption-based CAPM using the stochastic discount factor
Abstract This article investigates the problem of optimal intertemporal consumption in the CCAPM setup from a new empirical perspective. The econometric analysis is based on use of the equality between the stochastic discount factor (SDF) and the marginal rate of intertemporal substitution of consumption, which in the CCAPM is equivalent to the Euler equatio
Revista Brasileira de Economia. Publicado em: 2022
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5. Enthesitis-related arthritis: monitoring and specific tools
Abstract Objective: In this article, the authors aimed to review the different tools used in the monitoring of enthesitis-related arthritis. Sources: The authors performed a literature review on PubMed, Google Scholar, and Scopus databases. The dataset included the original research and the reviews including patients with enthesitis-related arthritis or ju
Jornal de Pediatria. Publicado em: 2022
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6. Lysosomal acid lipase deficiency in pediatric patients: a scoping review
Abstract Objective: Lysosomal acid lipase deficiency (LAL-D) is an underdiagnosed autosomal recessive disease with onset between the first years of life and adulthood. Early diagnosis is crucial for effective therapy and long-term survival. The objective of this article is to recognize warning signs among the clinical and laboratory characteristics of LAL-D
Jornal de Pediatria. Publicado em: 2022
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7. 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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8. Urethral reconstruction and genitoplasty highlighted in International Brazilian Journal of Urology
ABSTRACT Objective: Interstitial cystitis (IC)/bladder pain syndrome (BPS) is a chronic inflammatory disease that can cause bladder pain and accompanying symptoms, such as long-term urinary frequency and urgency. IC/BPS can be ulcerative or non-ulcerative. The aim of this study was to explore the core genes involved in the pathogenesis of ulcerative IC, and
Int. braz j urol.. Publicado em: 2021-08
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9. Exploration of the core genes in ulcerative interstitial cystitis/bladder pain syndrome
ABSTRACT Objective: Interstitial cystitis (IC)/bladder pain syndrome (BPS) is a chronic inflammatory disease that can cause bladder pain and accompanying symptoms, such as long-term urinary frequency and urgency. IC/BPS can be ulcerative or non-ulcerative. The aim of this study was to explore the core genes involved in the pathogenesis of ulcerative IC, and
Int. braz j urol.. Publicado em: 2021-08
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10. Geostatistical simulations with heterotopic hard and soft data without modeling the linear model of coregionalization
Abstract Most mining decisions are based on models estimated/simulated given the information obtained from samples. During the exploration stage, samples are commonly taken using diamond drill holes which are accurate and precise. These samples are considered hard data. In the production stage, new samples are added. These last are cheaper and more abundant
REM, Int. Eng. J.. Publicado em: 2021-06
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11. Dynamic anisotropy and non-linear geostatistics supporting short term modelling of structurally complex gold mineralization
Abstract Non-linear geostatistical methods are known to deal appropriately with the geological and geometrical complexity of gold deposits. This article reports the results related to an investigation to improve the gold content estimate based on restricted ore modeling to honor the structural aspects that control the mineralization. The grade domains are de
REM, Int. Eng. J.. Publicado em: 2021-06
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12. EFFECT OF WAVELET DE-NOISING ON THE CLASSIFICATION OF PIG BEHAVIOUR
ABSTRACT To efficiently eliminate the noise generated by the triaxial accelerometer when collecting pigs’ behavioural data, this paper adopted SNR and MSE as the indexes to evaluate the de-noising effect of pigs’ acceleration signal under various combinations of wavelet basis, decomposition layer, threshold rule and threshold function. Based on the optim
Eng. Agríc.. Publicado em: 2021-05