Controlo das trajetórias de um robô móvel de alto desempenho

A movimentação de um robô a elevadas velocidades é devera um problema complexo. Assim, com esta dissertação pretende-se o desenvolvimento de um algoritmo de seguimento de trajectórias com precisão, que podem ser estáticas ou geradas dinamicamente, de acordo com o estado global dos obstáculos, em perseguição de um determinado alvo

Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models

Purpose: Visual perception enables robots to perceive the environment. Visual data is processed using computer vision algorithms that are usually time-expensive and require powerful devices to process the visual data in real-time, which is unfeasible for open-field robots with limited energy. This work benchmarks the performance of different heterogeneous platforms for object detection in real-time. This research benchmarks three architectures: embedded GPU -- Graphical Processing Units (such as NVIDIA Jetson Nano 2 GB and 4 GB, and NVIDIA Jetson TX2), TPU -- Tensor Processing Unit (such as Coral Dev Board TPU), and DPU -- Deep Learning Processor Unit (such as in AMD-Xilinx ZCU104 Development Board, and AMD-Xilinx Kria KV260 Starter Kit). Method: The authors used the RetinaNet ResNet-50 fine-tuned using the natural VineSet dataset. After the trained model was converted and compiled for target-specific hardware formats to improve the execution efficiency. Conclusions and Results: The platforms were assessed in terms of performance of the evaluation metrics and efficiency (time of inference). Graphical Processing Units (GPUs) were the slowest devices, running at 3 FPS to 5 FPS, and Field Programmable Gate Arrays (FPGAs) were the fastest devices, running at 14 FPS to 25 FPS. The efficiency of the Tensor Processing Unit (TPU) is irrelevant and similar to NVIDIA Jetson TX2. TPU and GPU are the most power-efficient, consuming about 5W. The performance differences, in the evaluation metrics, across devices are irrelevant and have an F1 of about 70 % and mean Average Precision (mAP) of about 60 %

Effect of indolebutyric acid on rooting and budding of cuttings of Glyicidium sepium

Studies carried out with the use of gliricidia biomass found that green manure contributes to increasing the productivity of forest crops when compared to the incorporation of other legumes. This study aimed to evaluate the viability of vegetative propagation by cuttings in the development of rooting and budding of Glyicidium sepium in different concentrations of indolebutyric acid (IBA). The experiment was carried out in a greenhouse with an entirely randomized block design and increasing concentrations of IBA 0, 625, 1250, and 3000 mg.L-1 with six replicates. The cuttings were standardized in length and diameter, then treated with sodium hypochlorite and immersed in different concentrations of IBA. The parameters plant evaluated were the sprouts number, sprouts length, sprouts diameter, sprouts dry weight, and roots dry weight. The concentration of IBA was shown to be effective in increasing all parameters studied at the IBA concentration of 2100 mg.L-1, and the higher concentrations did not offer any cost-benefit advantages for the production of gliricidia by cutting

AVALIAÇÃO DA FUNÇÃO RESPIRATÓRIA E QUALIDADE DE VIDA EM PACIENTES COM DOENÇA DE PARKINSON SUBMETIDOS À REABILITAÇÃO FISIOTERAPÊUTICA

Objetivo: Analisar a função respiratória em pacientes com Doença de Parkinson e correlacionar com qualidade de vida (QV). Metodologia: Estudo transversal descritivo. Foram selecionados pacientes com diagnóstico de Doença de Parkinson que estivessem em atendimento fisioterapêutico em um Centro de Reabilitação. Os pacientes foram submetidos a avaliação da função respiratória (força inspiratória e expiratória, pico de fluxo de tosse e avaliação da percepção da dispneia) e da qualidade de vida através do Parkinson Disease Questionary – 39 (PQD-39). Os dados foram analisados através do software Statistical Package for Social Science 22 e apresentados como média e desvio padrão. Teste de Correlação de Pearson foi utilizado para correlacionar as variáveis respiratórias com QV. Resultados: Valores de função pulmonar abaixo daqueles estabelecidos para a idade foram encontrados, exceto para dispneia. Os piores escores de QV foram desconforto e apoio social, seguidos de atividade de vida diária e mobilidade. Os dados entre as variáveis respiratórias e a qualidade de vida não mostraram correlação. Conclusão: Pacientes com Doença de Parkinson apresentaram alterações na função pulmonar, redução no pico de fluxo de tosse e comprometimento na QV, com piores escores para os domínios de desconforto, apoio social, atividade de vida diária e mobilidade. Não foram observadas alterações nas variáveis fisiológicas, exceto para frequência cardíaca. Também não encontramos correlação entre as variáveis respiratórias e QV

Comparação analítica entre resultados da glicemia em bovinos obtidos com glicosímetro portátil vs método enzimático.

Changes in glycemic levels can negatively affect the body. Several techniques for the measurement of blood glucose have been described, but the enzymatic method is considered standard and more accurate in both humans and animals. The College of American Pathologists recommends the use of portable glucometers (PGs), which are routinely used in human medicine because this is an easy, relatively inexpensive method that delivers results quickly. The aim of this study was to compare the results of the measurement of blood glucose in cattle obtained using portable Accu-Check® glucometer with the enzymatic method (EM), which is still considered standard

PPSUS: Use of Technology of Information in Primary Care Through the Virtual Mobile Clinic System in the State of Amazonas

The Amazon is a large state, which hinders access to healthcare for residents of the most remote areas. The project evaluated the use of Information and Communication Technologies in primary care, through the virtual clinic system mobile and a mobile communication device (tablet). The project was developed over 24 months. In the first 12 months the virtual clinic was developed, technical teams were capacitated and participation of municipalities approved. In all, 30 municipalities where selected with 15 receiving the tablet and 15 only having access to the virtual clinic. Over the following 12 months the teleconsultation and tele-education activities were monitoring, and project evaluation undertaken. Between June 2015 and July 2016 there were 386 teleconsultation, of which 250 (64.8%) came from the participating municipalities of the PPSUS project using the tablet, 21 (5.4%) from those without tablet and 115 (29.8%) were from municipalities not participating in the project. The advantages of use of both the mobile device and the virtual clinic were verified through the analysis of the evaluation forms and the data of Telehealth Platform. The need for innovation in health practices, especially with regard to care in the State of Amazonas was also verified. There is a strong need to institutionalise the use of Telehealth Platform, and improve available technology with updated tools and good Internet connection. The project was successful in developing the project and collecting data, providing evidence of the need to improve the health services offered to the population and the importance of general medical monitoring as a precursor of teleconsultation by medical experts in order to minimise social and financial impacts, avoid unnecessary travel and procedures

Ambulatory and hospitalized patients with suspected and confirmed mpox: an observational cohort study from BrazilResearch in context

Summary: Background: By October 30, 2022, 76,871 cases of mpox were reported worldwide, with 20,614 cases in Latin America. This study reports characteristics of a case series of suspected and confirmed mpox cases at a referral infectious diseases center in Rio de Janeiro, Brazil. Methods: This was a single-center, prospective, observational cohort study that enrolled all patients with suspected mpox between June 12 and August 19, 2022. Mpox was confirmed by a PCR test. We compared characteristics of confirmed and non-confirmed cases, and among confirmed cases according to HIV status using distribution tests. Kernel estimation was used for exploratory spatial analysis. Findings: Of 342 individuals with suspected mpox, 208 (60.8%) were confirmed cases. Compared to non-confirmed cases, confirmed cases were more frequent among individuals aged 30–39 years, cisgender men (96.2% vs. 66.4%; p < 0.0001), reporting recent sexual intercourse (95.0% vs. 69.4%; p < 0.0001) and using PrEP (31.6% vs. 10.1%; p < 0.0001). HIV (53.2% vs. 20.2%; p < 0.0001), HCV (9.8% vs. 1.1%; p = 0.0046), syphilis (21.2% vs. 16.3%; p = 0.43) and other STIs (33.0% vs. 21.6%; p = 0.042) were more frequent among confirmed mpox cases. Confirmed cases presented more genital (77.3% vs. 39.8%; p < 0.0001) and anal lesions (33.1% vs. 11.5%; p < 0.0001), proctitis (37.1% vs. 13.3%; p < 0.0001) and systemic signs and symptoms (83.2% vs. 64.5%; p = 0.0003) than non-confirmed cases. Compared to confirmed mpox HIV-negative, HIV-positive individuals were older, had more HCV coinfection (15.2% vs. 3.7%; p = 0.011), anal lesions (45.7% vs. 20.5%; p < 0.001) and clinical features of proctitis (45.2% vs. 29.3%; p = 0.058). Interpretation: Mpox transmission in Rio de Janeiro, Brazil, rapidly evolved into a local epidemic, with sexual contact playing a crucial role in its dynamics and high rates of coinfections with other STI. Preventive measures must address stigma and social vulnerabilities. Funding: Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz (INI-Fiocruz)

Establishment and cryptic transmission of Zika virus in Brazil and the Americas

University of Oxford. Department of Zoology, Oxford, UK / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.University of Birmingham. Institute of Microbiology and Infection. Birmingham, UK.University of Oxford. Department of Zoology. Oxford UK.University of Oxford. Department of Zoology. Oxford, UK / Harvard Medical School. Boston, MA, USA / Boston Children's Hospital. Boston, MA, USA.University of Oxford. Department of Zoology. Oxford, UK.Fred Hutchinson Cancer Research Center. Vaccine and Infectious Disease Division. Seattle, WA, USA / University of Washington. Department of Epidemiology. Seattle, WA, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.University of Oxford. Department of Statistics. Oxford, UK.University of Oxford. Department of Zoology. Oxford, UK.Institut Pasteur. Biostatistics and Integrative Biology. Mathematical Modelling of Infectious Diseases and Center of Bioinformatics. Paris, FR / Centre National de la Recherche Scientifique. Paris, FR.University of Oxford. Department of Zoology. Oxford, UK.Ministry of Health. Coordenação dos Laboratórios de Saúde. Brasília, DF, Brazil.Ministry of Health. Coordenação Geral de Vigilância e Resposta às Emergências em Saúde Pública. Brasília, DF, Brazil / Fundação Oswaldo Cruz. Center of Data and Knowledge Integration for Health. Salvador, BA, Brazil.Ministry of Health. Departamento de Vigilância das Doenças Transmissíveis. Brasilia, DF, Brazil.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, Brazil / Pan American Health Organization (PAHO). Buenos Aires, AR.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, Brazil / Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.Ministry of Health. Coordenação Geral dos Programas de Controle e Prevenção da Malária e das Doenças Transmitidas pelo Aedes. Brasília, DF, BrazilMinistry of Health. Departamento de Vigilância das Doenças Transmissíveis. Brasilia, DF, Brazil.Ontario Institute for Cancer Research. Toronto, ON, Canada.University of Nottingham. Nottingham, UKThe Scripps Research Institute. Department of Immunology and Microbial Science. La Jolla, CA, USA.The Scripps Research Institute. Department of Immunology and Microbial Science. La Jolla, CA, USA.University of California. Departments of Laboratory Medicine and Medicine & Infectious Diseases. San Francisco, CA, USA.University of California. Departments of Laboratory Medicine and Medicine & Infectious Diseases. San Francisco, CA, USA.Instituto Mexicano del Seguro Social. División de Laboratorios de Vigilancia e Investigación Epidemiológica. Ciudad de México, MC.Instituto Mexicano del Seguro Social. División de Laboratorios de Vigilancia e Investigación Epidemiológica. Ciudad de México, MC.Universidad Nacional Autónoma de México. Instituto de Biotecnología. Cuernavaca, MC.Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.Paul-Ehrlich-Institut. Langen, Germany.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Laboratório Central de Saúde Pública Noel Nutels. Rio de Janeiro, RJ, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil / Universidade Potiguar. Natal, RN, Brazil.Laboratório Central de Saúde Pública. Natal, RN, Brazil / Faculdade Natalense de Ensino e Cultura. Natal, RN, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Laboratório Central de Saúde Pública. João Pessoa, PB, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil.Fundação Oswaldo Cruz. Recife, PE, Brazil / Colorado State University. Department of Microbiology, Immunology &Pathology. Fort Collins, CO, USA.Fundação Oswaldo Cruz. Recife, PE, Brazil.Heidelberg University Hospital. Department for Infectious Diseases. Section Clinical Tropical Medicine. Heidelberg, Germany.Fundação Oswaldo Cruz. Recife, PE, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Laboratório Central de Saúde Pública. Maceió, AL, Brazil.Universidade Estadual de Feira de Santana. Feira de Santana, BA, Brazil.Secretaria de Saúde de Feira de Santana. Feira de Santana, BA, Brazil.Universidade Federal do Amazonas. Manaus, AM, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Hospital São Francisco. Ribeirão Preto, SP, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Universidade Federal do Tocantins. Palmas, TO, Brazil.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.University of Sydney. Sydney, Australia.University of Edinburgh. Institute of Evolutionary Biology. Edinburgh, UK / National Institutes of Health. Fogarty International Center. Bethesda, MD, USA.Fred Hutchinson Cancer Research Center. Vaccine and Infectious Disease Division. Seattle, WA, USA.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil / University of Texas Medical Branch. Department of Pathology. Galveston, TX, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.University of Birmingham. Institute of Microbiology and Infection. Birmingham, UK.University of Oxford. Department of Zoology, Oxford, UK / Metabiota. San Francisco, CA, USA.University of São Paulo. School of Medicine &Institute of Tropical Medicine. Department of Infectious Disease. São Paulo, SP, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil.Fundação Oswaldo Cruz. Salvador, BA, Brazil / University of Rome Tor Vergata. Rome, Italy.Transmission of Zika virus (ZIKV) in the Americas was first confirmed in May 2015 in northeast Brazil. Brazil has had the highest number of reported ZIKV cases worldwide (more than 200,000 by 24 December 2016) and the most cases associated with microcephaly and other birth defects (2,366 confirmed by 31 December 2016). Since the initial detection of ZIKV in Brazil, more than 45 countries in the Americas have reported local ZIKV transmission, with 24 of these reporting severe ZIKV-associated disease. However, the origin and epidemic history of ZIKV in Brazil and the Americas remain poorly understood, despite the value of this information for interpreting observed trends in reported microcephaly. Here we address this issue by generating 54 complete or partial ZIKV genomes, mostly from Brazil, and reporting data generated by a mobile genomics laboratory that travelled across northeast Brazil in 2016. One sequence represents the earliest confirmed ZIKV infection in Brazil. Analyses of viral genomes with ecological and epidemiological data yield an estimate that ZIKV was present in northeast Brazil by February 2014 and is likely to have disseminated from there, nationally and internationally, before the first detection of ZIKV in the Americas. Estimated dates for the international spread of ZIKV from Brazil indicate the duration of pre-detection cryptic transmission in recipient regions. The role of northeast Brazil in the establishment of ZIKV in the Americas is further supported by geographic analysis of ZIKV transmission potential and by estimates of the basic reproduction number of the virus

Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology

The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction