2,417 research outputs found

    Integration of Digital Twins and Virtual Reality for Data Visualisation.

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    Mechanical and Mechatronic Engineerin

    Covid-19 Dynamic Monitoring and Real-Time Spatio-Temporal Forecasting

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    Background: Periodically, humanity is often faced with new and emerging viruses that can be a significant global threat. It has already been over a century post—the Spanish Flu pandemic, and we are witnessing a new type of coronavirus, the SARS-CoV-2, which is responsible for Covid-19. It emerged from the city of Wuhan (China) in December 2019, and within a few months, the virus propagated itself globally now resulting more than 50 million cases with over 1 million deaths. The high infection rates coupled with dynamic population movement demands for tools, especially within a Brazilian context, that will support health managers to develop policies for controlling and combating the new virus. / Methods: In this work, we propose a tool for real-time spatio-temporal analysis using a machine learning approach. The COVID-SGIS system brings together routinely collected health data on Covid-19 distributed across public health systems in Brazil, as well as taking to under consideration the geographic and time-dependent features of Covid-19 so as to make spatio-temporal predictions. The data are sub-divided by federative unit and municipality. In our case study, we made spatio-temporal predictions of the distribution of cases and deaths in Brazil and in each federative unit. Four regression methods were investigated: linear regression, support vector machines (polynomial kernels and RBF), multilayer perceptrons, and random forests. We use the percentage RMSE and the correlation coefficient as quality metrics. / Results: For qualitative evaluation, we made spatio-temporal predictions for the period from 25 to 27 May 2020. Considering qualitatively and quantitatively the case of the State of Pernambuco and Brazil as a whole, linear regression presented the best prediction results (thematic maps with good data distribution, correlation coefficient >0.99 and RMSE (%) <4% for Pernambuco and around 5% for Brazil) with low training time: [0.00; 0.04 ms], CI 95%. / Conclusion: Spatio-temporal analysis provided a broader assessment of those in the regions where the accumulated confirmed cases of Covid-19 were concentrated. It was possible to differentiate in the thematic maps the regions with the highest concentration of cases from the regions with low concentration and regions in the transition range. This approach is fundamental to support health managers and epidemiologists to elaborate policies and plans to control the Covid-19 pandemics

    COVID-SGIS: A Smart Tool for Dynamic Monitoring and Temporal Forecasting of Covid-19

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    Background: The global burden of the new coronavirus SARS-CoV-2 is increasing at an unprecedented rate. The current spread of Covid-19 in Brazil is problematic causing a huge public health burden to its population and national health-care service. To evaluate strategies for alleviating such problems, it is necessary to forecast the number of cases and deaths in order to aid the stakeholders in the process of making decisions against the disease. We propose a novel system for real-time forecast of the cumulative cases of Covid-19 in Brazil. / Methods: We developed the novel COVID-SGIS application for the real-time surveillance, forecast and spatial visualization of Covid-19 for Brazil. This system captures routinely reported Covid-19 information from 27 federative units from the Brazil.io database. It utilizes all Covid-19 confirmed case data that have been notified through the National Notification System, from March to May 2020. Time series ARIMA models were integrated for the forecast of cumulative number of Covid-19 cases and deaths. These include 6-days forecasts as graphical outputs for each federative unit in Brazil, separately, with its corresponding 95% CI for statistical significance. In addition, a worst and best scenarios are presented. / Results: The following federative units (out of 27) were flagged by our ARIMA models showing statistically significant increasing temporal patterns of Covid-19 cases during the specified day-to-day period: Bahia, Maranhão, Piauí, Rio Grande do Norte, Amapá, Rondônia, where their day-to-day forecasts were within the 95% CI limits. Equally, the same findings were observed for Espírito Santo, Minas Gerais, Paraná, and Santa Catarina. The overall percentage error between the forecasted values and the actual values varied between 2.56 and 6.50%. For the days when the forecasts fell outside the forecast interval, the percentage errors in relation to the worst case scenario were below 5%. / Conclusion: The proposed method for dynamic forecasting may be used to guide social policies and plan direct interventions in a cost-effective, concise, and robust manner. This novel tools can play an important role for guiding the course of action against the Covid-19 pandemic for Brazil and country neighbors in South America

    mir152 hypomethylation as a mechanism for non-syndromic cleft lip and palate

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    Non-syndromic cleft lip with or without cleft palate (NSCLP), the most common human craniofacial malformation, is a complex disorder given its genetic heterogeneity and multifactorial component revealed by genetic, epidemiological, and epigenetic findings. Epigenetic variations associated with NSCLP have been identified; however, functional investigation has been limited. Here, we combined a reanalysis of NSCLP methylome data with genetic analysis and used both in vitro and in vivo approaches to dissect the functional effects of epigenetic changes. We found a region in mir152 that is frequently hypomethylated in NSCLP cohorts (21–26%), leading to mir152 overexpression. mir152 overexpression in human neural crest cells led to downregulation of spliceosomal, ribosomal, and adherens junction genes. In vivo analysis using zebrafish embryos revealed that mir152 upregulation leads to craniofacial cartilage impairment. Also, we suggest that zebrafish embryonic hypoxia leads to mir152 upregulation combined with mir152 hypomethylation and also analogous palatal alterations. We therefore propose that mir152 hypomethylation, potentially induced by hypoxia in early development, is a novel and frequent predisposing factor to NSCLP

    Emanuele Tesauro nos trópicos: caminhos de uma tradução e crítica teórico-histórica em Organização do Conhecimento

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    After a series of historical-epistemological studies, focused on the Knowledge Organization (KO), which call attention to the thought of Emanuele Tesauro, a seventeenth-century theoretician, the urgency of bringing to discussion about the importance of translation, as a way of updating, his work. The present reflection tries to understand the Brazilian studies on Tesauro developed centrally in the last years, from the epistemological-historical perspective and the philosophy of the language, leading to the (necessary) interpretative experience of translation of the theoretical. The corpus of the proposal is focused on the introductory paragraph of the Categorical Index, a discourse that places Tesauro at the heart of the historical construction of the KO and, at the same time, at the forefront of the challenges of innovation in the contemporary domain. The Tesaurian Index is present in the third chapter, “Cagioni Instrumentali delle argutezze oratorie simboliche et lapidarie”, of his work Il Cannocchiale Aristotelico, published in 1670, an essential treatise for the modern understanding of metaphor as a possibility of understanding the world through language. One of the ways to enable this theoretical and epistemological deepening is the translation of his work, which can be considered a way of interpretation and updating, since it is a work of the seventeenth century. Starting from the point of view that the translation is an exercise of communication between different languages, epochs, histories, finally, cultures, that is to relate the meaning of a word with other words that do not belong to the same culture, the work was done involving four phases: definition of the scope of translation focusing on the relationship between Tesauro and KO, reaching the Categorical Index; first contact with the work with appropriation of the Introduction and the Categorical Index; translation proper, which corresponds to the creative part of the translation; evaluation of the translation in light of the KO lexicon. The Tesauro’s research practice and its work in KO seems immediately adherent, mainly by the (co) incidence of the name between subject and instrument (documentary language). The Tesauro’s metalinguistic character evokes not only a way of understanding Aristotelian rhetoric, but of establishing a writing practice, as well as, together with the presentation of the method of such a practice, filled with the interweaving of information, concepts, practices. This is, in short, Emanuele's twist: he is using logical (analytic-conceptual) Aristotle, but under a rhetorical (discursive) Aristotle's theory to indicate the dynamics of words in relation to things. With epistemological-historical lenses, focused on the constant instance of recontextualization, via the slow and necessary process of translation, Tesauro's thinking opens up, establishing itself not only as adherent, but as co-founder (among many margins of theoretical construction of the domain) of the OC. From the metaphorical plane, we can see that Emanuele Tesauro enters the heart of the most difficult and instigating dilemmas, current and historical, of the KO itself

    Field Theory for a Deuteron Quantum Liquid

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    Based on general symmetry principles we study an effective Lagrangian for a neutral system of condensed spin-1 deuteron nuclei and electrons, at greater-than-atomic but less-than-nuclear densities. We expect such matter to be present in thin layers within certain low-mass brown dwarfs. It may also be produced in future shock-wave-compression experiments as an effective fuel for laser induced nuclear fusion. We find a background solution of the effective theory describing a net spin zero condensate of deuterons with their spins aligned and anti-aligned in a certain spontaneously emerged preferred direction. The spectrum of low energy collective excitations contains two spin waves with linear dispersions -- like in antiferromagnets -- as well as gapped longitudinal and transverse modes related to the Meissner effect -- like in superconductors. We show that counting of the Nambu-Goldstone modes of spontaneously broken internal and space-time symmetries obeys, in a nontrivial way, the rules of the Goldstone theorem for Lorentz non-invariant systems. We discuss thermodynamic properties of the condensate, and its potential manifestation in the low-mass brown dwarfs.Comment: 19 LaTeX pages; v2: 2 refs added, JHEP versio

    The elastic constants of MgSiO3 perovskite at pressures and temperatures of the Earth's mantle

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    The temperature anomalies in the Earth's mantle associated with thermal convection1 can be inferred from seismic tomography, provided that the elastic properties of mantle minerals are known as a function of temperature at mantle pressures. At present, however, such information is difficult to obtain directly through laboratory experiments. We have therefore taken advantage of recent advances in computer technology, and have performed finite-temperature ab initio molecular dynamics simulations of the elastic properties of MgSiO3 perovskite, the major mineral of the lower mantle, at relevant thermodynamic conditions. When combined with the results from tomographic images of the mantle, our results indicate that the lower mantle is either significantly anelastic or compositionally heterogeneous on large scales. We found the temperature contrast between the coldest and hottest regions of the mantle, at a given depth, to be about 800K at 1000 km, 1500K at 2000 km, and possibly over 2000K at the core-mantle boundary.Comment: Published in: Nature 411, 934-937 (2001
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