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Abstract Objective To analyze the death of Brazilian pregnant and postpartum women due to COVID-19 or unspecific cause. Methods This is retrospective, descriptive-exploratory, population-based study carried out with ...

Abstract Purpose To assess the impact of pre-pregnancy obesity (body mass index [BMI] ≥30 kg/m2) on the gestational and perinatal outcomes. Methods Retrospective cohort study of 731 pregnant women with a BMI ≥30 ...

In the last decades, colocalization analysis of fluorescently tagged biomolecules has proven to be a powerful approach to studying functional relationships between these biomolecules. However, in many cases, to give this...

El coeficiente alfa de Cronbach es el modo más habitual de estimar la fiabilidad de pruebas basadas en Teoría Clásica de los Test. En dicha estimación, los investigadores usualmente omiten informar intervalos de conf...

Various phenomenological generalizations of the foundational equation in quantum physics have been proposed in prior studies. This paper presents a rigorous analytical derivation, grounded in first principles, that eluci...

Credit scoring has become an important issue because competition among financial institutions is intense and even a small improvement in predictive accuracy can result in significant savings. Financial...

This article identifies and describes the types of cognitive language learning strategies used by learners of Spanish. Sample consisted of 665 participants, adult learners of Spanish from 60 universities and institutions...

Abstract Strong lighting from above is common in everyday environments and this statistical regularity has shaped the function of the human visual system. Here we investigate the influence of vertical asymmetries in illu...

Abstract While the amount of telecommunications services grows rapidly in the whole world, humans get potentially more exposed to Non-Ionizing Radiation (NIR) from a number of different sources. Measurements of NIR level...

This Campbell systematic review examines the impacts of police strategies to reduce illegal possession and carrying of firearms on gun crime. Examples include gun detection patrols in high‐crime areas, enhanced surveil...

This Campbell systematic review assesses the effects of psychosocial interventions for school refusal. The review summarizes the findings from eight studies. Medium quality evidence shows that cognitive‐behavioural the...

IntroductionThe United States Immunodeficiency Network (USIDNET) collects de-identified patient data from hospitals across the country to study inborn errors of immunity (IEI). The registry contains records on >6,000 pat...

At the beginning of the computing era it was a great challenge to write a running program in order to solve different mathematical, statistical tasks, and to get the appropriate results by using a computer. At the univer...

El análisis estadístico es fundamental en el campo de la investigación epidemiológica. De todas maneras, el software comercial para análisis estadístico es demasiado caro para un uso personal. Algunos programas gra...

Fire modelling is used by engineers and scientists to understand and to predict possible fire behaviour. Empirical, semi-empirical, and physical models have been developed to predict wildfire behaviour. Any of these can ...

We develop a simple model for computing planetary formation based on the core instability model for the gas accretion and the oligarchic growth regime for the accretion of the solid core. In this model several planets ca...

Magnetic Resonance Imaging is one of the most important medical imaging techniques for the investigating diseases of the human brain. A novel method for automatic segmentation Magnetic resonance brain image framework is ...

Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. Inside this one, the notion of reduct is a very significant one, but to obtain a reduct in a decision system is an expensi...

Fighting fires is a very risky job, where loss of life is a real possibility. Proper training is essential. Several firemen academies offer courses and programs whose goal is to enhance the ability of fire and emergency ...

Photonic reservoirs are machine learning based systems that boast energy efficiency and speediness. Thus they can be deployed as optical processors in fiber communication systems to aid or replace digital signal equaliza...

As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take advantage of data-driven training methods used in deep learning to devise light–matter interaction in 3D for performing a desired s...

IntroductionThIntrusion Detection Systems (IDS) for Internet of Things (IoT) and edge environments require datasets with unambiguous labels, yet existing datasets often mix benign and malicious traffic within the same ca...

In this paper we describe a framework to uncover potential causal relations between event mentions from streaming text of news media. This framework relies on a dataset of manually labeled events to train a recurrent neu...

Abstract Multi-label chest X-ray classification faces three critical challenges: (i) inadequate modeling of inter-pathology dependencies despite clinical co-occurrence patterns, (ii) severe class imbalance (11.2−47.6...