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Institution

University of Fortaleza

EducationFortaleza, Brazil
About: University of Fortaleza is a education organization based out in Fortaleza, Brazil. It is known for research contribution in the topics: Population & Health care. The organization has 3921 authors who have published 5177 publications receiving 44732 citations.


Papers
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Journal ArticleDOI
TL;DR: The estimates suggest that melioidosis is severely underreported in the 45 countries in which it is known to be endemic and that it is probably endemic in a further 34 countries that have never reported the disease.
Abstract: Burkholderia pseudomallei, a highly pathogenic bacterium that causes melioidosis, is commonly found in soil in Southeast Asia and Northern Australia1,2. Melioidosis can be difficult to diagnose due to its diverse clinical manifestations and the inadequacy of conventional bacterial identification methods3. The bacterium is intrinsically resistant to a wide range of antimicrobials, and treatment with ineffective antimicrobials may result in case fatality rates (CFRs) exceeding 70%4,5. The importation of infected animals has, in the past, spread melioidosis to non-endemic areas6,7. The global distribution of B. pseudomallei and burden of melioidosis, however, remain poorly understood. Here, we map documented human and animal cases, and the presence of environmental B. pseudomallei, and combine this in a formal modelling framework8-10 to estimate the global burden of melioidosis. We estimate there to be 165,000 (95% credible interval 68,000-412,000) human melioidosis cases per year worldwide, of which 89,000 (36,000-227,000) die. Our estimates suggest that melioidosis is severely underreported in the 45 countries in which it is known to be endemic and that melioidosis is likely endemic in a further 34 countries which have never reported the disease. The large numbers of estimated cases and fatalities emphasise that the disease warrants renewed attention from public health officials and policy makers.

653 citations

Journal ArticleDOI
TL;DR: In this article, the importance of education actions in health is highlighted as an integrating strategy of a collective knowledge that translates in the individual his autonomy and emancipation, based on this comprehension the study aims to reflect on the principle of the integrality as an axis director of the education actions.
Abstract: We understand the integrality in people's care, groups and collectivity having the client as a historical, social and political subject, integrated to his family context, to the environment and the society in which he is inserted. In this scenery the importance of education actions in health is highlighted as an integrating strategy of a collective knowledge that translates in the individual his autonomy and emancipation. Based on this comprehension the study aims to reflect on the principle of the integrality as an axis director of the education actions in health. The education in health as a pedagogical and political process requests the development of a critical and reflexive thinking, allowing to reveal the reality and to propose transforming actions, while historical and social subject able to propose and to give opinions in the decisions of health for his own care, of his family and of the collectivity.

401 citations

Journal ArticleDOI
TL;DR: Among infants with prenatal exposure to Zika virus, the absence of microcephaly at birth does not exclude congenital Zika virus infection or the presence of Zika-related brain and other abnormalities, and this findings support the recommendation for comprehensive medical and developmental follow-up of infants exposed to Zikairus prenatally.
Abstract: Congenital Zika virus infection can cause microcephaly and severe brain abnormalities (1). Congenital Zika syndrome comprises a spectrum of clinical features (2); however, as is the case with most newly recognized teratogens, the earliest documented clinical presentation is expected to be the most severe. Initial descriptions of the effects of in utero Zika virus infection centered prominently on the finding of congenital microcephaly (3). To assess the possibility of clinical presentations that do not include congenital microcephaly, a retrospective assessment of 13 infants from the Brazilian states of Pernambuco and Ceara with normal head size at birth and laboratory evidence of congenital Zika virus infection was conducted. All infants had brain abnormalities on neuroimaging consistent with congenital Zika syndrome, including decreased brain volume, ventriculomegaly, subcortical calcifications, and cortical malformations. The earliest evaluation occurred on the second day of life. Among all infants, head growth was documented to have decelerated as early as 5 months of age, and 11 infants had microcephaly. These findings provide evidence that among infants with prenatal exposure to Zika virus, the absence of microcephaly at birth does not exclude congenital Zika virus infection or the presence of Zika-related brain and other abnormalities. These findings support the recommendation for comprehensive medical and developmental follow-up of infants exposed to Zika virus prenatally. Early neuroimaging might identify brain abnormalities related to congenital Zika infection even among infants with a normal head circumference (4).

381 citations

Journal ArticleDOI
TL;DR: This paper presents a detailed analysis of Colaboratory regarding hardware resources, performance, and limitations and shows that the performance reached using this cloud service is equivalent to the performance of the dedicated testbeds, given similar resources.
Abstract: Google Colaboratory (also known as Colab) is a cloud service based on Jupyter Notebooks for disseminating machine learning education and research. It provides a runtime fully configured for deep learning and free-of-charge access to a robust GPU. This paper presents a detailed analysis of Colaboratory regarding hardware resources, performance, and limitations. This analysis is performed through the use of Colaboratory for accelerating deep learning for computer vision and other GPU-centric applications. The chosen test-cases are a parallel tree-based combinatorial search and two computer vision applications: object detection/classification and object localization/segmentation. The hardware under the accelerated runtime is compared with a mainstream workstation and a robust Linux server equipped with 20 physical cores. Results show that the performance reached using this cloud service is equivalent to the performance of the dedicated testbeds, given similar resources. Thus, this service can be effectively exploited to accelerate not only deep learning but also other classes of GPU-centric applications. For instance, it is faster to train a CNN on Colaboratory’s accelerated runtime than using 20 physical cores of a Linux server. The performance of the GPU made available by Colaboratory may be enough for several profiles of researchers and students. However, these free-of-charge hardware resources are far from enough to solve demanding real-world problems and are not scalable. The most significant limitation found is the lack of CPU cores. Finally, several strengths and limitations of this cloud service are discussed, which might be useful for helping potential users.

360 citations

Journal ArticleDOI
TL;DR: This article examines microservice evolution from the technological and architectural perspectives and discusses key challenges facing future microservice developments.
Abstract: Microservices are an architectural approach emerging out of service-oriented architecture, emphasizing self-management and lightweightness as the means to improve software agility, scalability, and autonomy. This article examines microservice evolution from the technological and architectural perspectives and discusses key challenges facing future microservice developments.

323 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202230
2021391
2020495
2019416
2018451