Bio-inspired anatomy for autonomous DPWS-compliant automation components

Dissertação apresentada na Faculdade de Ciências e Engenharia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de ComputadoresThis thesis approaches the use of the DPWS technology to implement web-services on small devices, addresses its limitations, and explains an architecture to solve it. An approach to an autonomous device’s simple architecture was realized, using DPWS, and was called Simple DPWS. The objective was to implement/simplify some features in a device in a way that the device can work on its own. The designed architecture is based on that each component has its framework of modules, having always at least the skeleton modules communication and Event Router-Scheduler. The communication module controls all the communication between the devices and the ERS is the responsible for the other modules’ real-time communication. The DPWS toolkit offers no capability of interacting with run-time-appearing services. Thus there was a necessity to do enhancements over the DPWS toolkit to have a dynamic stub and skeleton. This service was called the dynamic service. An experience was done connecting a DPWS toolkit sample service with the corresponding hand-created dynamic service. It was used the lighting service that consists on turning a lamp ON or OFF and getting its status. A GUI was done for the application to be more user-friendly. The results were satisfactory, as the connection worked

Anticipated Memories and Adaptation from Past Flood Events in Gregório Creek Basin, Brazil

In this research we used walking interviews to investigate the measures used by shopkeepers as protection against floods. The concept of anticipated memory has been used to identify the relationship between their learning from previous events and the adaptive measures they have taken to reduce risk of future flooding in Gregório Creek basin. The area is affected by major flooding issues in the city of São Carlos, southeastern Brazil. Twenty-three (23) downtown merchants shared their experience of the extreme rainfall that occurred on 12 January 2020, characterized by a return period of 103 years. Comparing our findings with November 2015 and March 2018 floods (Interviews 37 and 52 respectively), we noted that due to the enhanced level of threat, people had changed their adaptation strategy by increasing the sum of floodgate height more than 4-fold (870 cm to 3830 cm) between 2015 to 2020. Our results showed that despite frequent flooding, the shopkeepers downtown were reluctant to move away from the area; rather, they preferred to improve their individual protection. The substantial increase in the height of the floodgates represents the population’s feedback in the face of a new level of threat

estudio descriptivo, 2020-2021

Publisher Copyright: © 2022, Ministry of Health. All rights reserved.Objective: To describe the profile and temporal variation of hospital admissions and deaths due to severe acute respiratory syndrome (SARS) caused by COVID-19 in Piauí, Brazil, according to place of hospitalization. Methods: We performed a descriptive study using data from the Influenza Surveillance Information System between 2020 and 2021. Case fatality ratio among hospital records with outcome and respective 95% confidence intervals (95%CI) were calculated. Results: We included 12,649 individuals who were mostly male (57.1%), Black (61.2%) and had one or two comorbidities (30.5%). Case fatality ratio among hospital records with outcome was higher in the state’s interior region than in its capital, with proportion of 44.1% (95%CI 42.0;46.3) for those who were hospitalized, 82.3% (95%CI 79.7;84.8) for those admitted to intensive care units and 96.6% (95%CI 94.9;97.8) for those undergoing invasive mechanical ventilation. Conclusion: The study enabled characterization of the profile of SARS hospitalizations due to COVID-19 in Piauí and demonstrated high case fatality ratio, among hospital records with outcome, which remained high during the study period, especially in the interior of the state.publishersversionpublishe

Anticipated Memories and Adaptation from Past Flood Events in Gregório Creek Basin, Brazil

From MDPI via Jisc Publications RouterHistory: accepted 2021-11-23, pub-electronic 2021-12-01Publication status: PublishedIn this research we used walking interviews to investigate the measures used by shopkeepers as protection against floods. The concept of anticipated memory has been used to identify the relationship between their learning from previous events and the adaptive measures they have taken to reduce risk of future flooding in Gregório Creek basin. The area is affected by major flooding issues in the city of São Carlos, southeastern Brazil. Twenty-three (23) downtown merchants shared their experience of the extreme rainfall that occurred on 12 January 2020, characterized by a return period of 103 years. Comparing our findings with November 2015 and March 2018 floods (Interviews 37 and 52 respectively), we noted that due to the enhanced level of threat, people had changed their adaptation strategy by increasing the sum of floodgate height more than 4-fold (870 cm to 3830 cm) between 2015 to 2020. Our results showed that despite frequent flooding, the shopkeepers downtown were reluctant to move away from the area; rather, they preferred to improve their individual protection. The substantial increase in the height of the floodgates represents the population’s feedback in the face of a new level of threat

Artificial neural network model of soil heat flux over multiple land covers in South America

Soil heat flux (G) is an important component for the closure of the surface energy balance (SEB) and the estimation of evapotranspiration (ET) by remote sensing algorithms. Over the last decades, efforts have been focused on parameterizing empirical models for G prediction, based on biophysical parameters estimated by remote sensing. However, due to the existing models’ empirical nature and the restricted conditions in which they were developed, using these models in large-scale applications may lead to significant errors. Thus, the objective of this study was to assess the ability of the artificial neural network (ANN) to predict mid-morning G using extensive remote sensing and meteorological reanalysis data over a broad range of climates and land covers in South America. Surface temperature (Ts), albedo (α), and enhanced vegetation index (EVI), obtained from a moderate resolution imaging spectroradiometer (MODIS), and net radiation (Rn) from the global land data assimilation system 2.1 (GLDAS 2.1) product, were used as inputs. The ANN’s predictions were validated against measurements obtained by 23 flux towers over multiple land cover types in South America, and their performance was compared to that of existing and commonly used models. The Jackson et al. (1987) and Bastiaanssen (1995) G prediction models were calibrated using the flux tower data for quadratic errors minimization. The ANN outperformed existing models, with mean absolute error (MAE) reductions of 43% and 36%, respectively. Additionally, the inclusion of land cover information as an input in the ANN reduced MAE by 22%. This study indicates that the ANN’s structure is more suited for large-scale G prediction than existing models, which can potentially refine SEB fluxes and ET estimates in South America

Rarity of monodominance in hyperdiverse Amazonian forests.

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such "monodominant" forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors

Highlights of the Brazilian Thoracic Association guidelines for interstitial lung diseases

Interstitial lung diseases (ILDs) are heterogeneous disorders, involving a large number of conditions, the approach to which continues to pose an enormous challenge for pulmonologists. The 2012 Brazilian Thoracic Association ILD Guidelines were established in order to provide Brazilian pulmonologists with an instrument that can facilitate the management of patients with ILDs, standardizing the criteria used for the diagnosis of different conditions and offering guidance on the best treatment in various situations. The objective of this article was to briefly describe the highlights of those guidelines.As doenças pulmonares intersticiais (DPIs) são afecções heterogêneas, envolvendo um elevado número de condições, cuja abordagem ainda é um grande desafio para o pneumologista. As Diretrizes de DPIs da Sociedade Brasileira de Pneumologia e Tisiologia, publicadas em 2012, foram estabelecidas com o intuito de fornecer aos pneumologistas brasileiros um instrumento que possa facilitar a abordagem dos pacientes com DPIs, padronizando-se os critérios utilizados para a definição diagnóstica das diferentes condições, além de orientar sobre o melhor tratamento nas diferentes situações. Esse artigo teve como objetivo descrever resumidamente os principais destaques dessas diretrizes.Universidade de São Paulo Faculdade de Medicina Hospital das ClínicasUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Curso de Pós-Graduação de Doenças Pulmonares IntersticiaisUniversidade Federal de Ciências da Saúde de Porto AlegreSanta Casa de Porto Alegre Ambulatório de Doenças IntersticiaisSES Hospital Regional da Asa Norte Serviço de Doenças TorácicasFundação Jorge Duprat Figueiredo de Segurança e Medicina do Trabalho Serviço de MedicinaUniversidade Estadual de Campinas Faculdade de Ciências Médicas Departamento de Clínica MédicaUniversidade Federal do Estado do Rio de JaneiroUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de Medicina Departamento de PatologiaHospital do Servidor Público Estadual de São Paulo Serviço de Anatomia PatológicaUniversidade Federal de São Paulo (UNIFESP) Escola Paulista de MedicinaUniversidade de São Paulo Faculdade de Medicina de Ribeirão Preto Divisão de PneumologiaUniversidade Federal de Santa Catarina Departamento de Clínica MédicaUniversidade Federal de Santa Catarina Hospital UniversitárioHospital de Messejana Ambulatório de Doenças IntersticiaisHospital do Servidor Público Estadual de São Paulo Ambulatório de Doenças IntersticiaisUniversidade de São Paulo Faculdade de Medicina Instituto do CoraçãoUniversidade Federal FluminenseUniversidade de São Paulo Faculdade de MedicinaHospital Sírio Libanês Núcleo Avançado de TóraxUniversidade Federal da BahiaHospital do Servidor Público Estadual de São PauloHospital do Câncer Antônio Cândido CamargoUNIFESP, EPM, Curso de Pós-Graduação de Doenças Pulmonares IntersticiaisUNIFESP, EPM, Depto. de PatologiaUNIFESP, EPMSciEL