Compósito sustentável de polipropileno pós-consumo e resíduo de rocha ornamental / Sustainable Composite from polypropylene post-consumer and dimension stone waste

Neste trabalho, compósitos com foco ambiental foram preparados através da incorporação de resíduos de mármore Bege Bahia (BB) em polipropileno (PP) pós-consumo. Inicialmente os materiais foram caracterizados quimicamente e o PP pós-consumo foi processado em extrusora dupla-rosca, para maior homogeneização do resíduo, obtendo-se então o PP reciclado (PP-r) em pellets. O processamento das formulações de PP-r/BB (100/0 e 90/10 e 70/30 % m/m) e do PP virgem (100 % m/m), que foi processado para efeito de comparação, foi realizado em misturador Haake. Os ensaios de resistência ao impacto Izod foram realizados conforme a norma ASTM D-256. O aumento da resistência ao Impacto foi observado no compósito com 10 % (m/m) de calcário em comparação ao PP virgem. Sugere-se o uso do material obtido na indústria moveleira e de construção civil

Serviços de atenção básica frente à pandemia de covid-19 / Basic care services in front of the covid-19 pandemic

Objetivo: analisar a literatura científica acerca do papel dos serviços de atenção básica frente à pandemia da COVID-19. Método: trata-se de uma revisão integrativa, realizada no período de outubro e novembro de 2020, a partir de fontes secundárias, selecionadas nas bases de dados da MEDLINE, LILACS, BVS, PUBMED e SciELO. Os dados obtidos foram organizados em quadro e fluxograma. Resultados: Dos treze artigos selecionados para este estudo, 100% dos artigos foram publicados em 2020, sendo 69% em periódicos internacionais e 31% em periódicos nacionais. Em relação à base de dados/ biblioteca virtual selecionada, 92% dos artigos podem ser encontrados na BVS, 42% na SciElo e 8% na PubMed. Conclusão: O papel dos serviços de atenção básica frente à pandemia do COVID-19 consiste em monitorar, notificar e fornecer dados sobre a doença. Devendo agir com rapidez na detecção dos sintomas e encaminhamento dos pacientes que ocasionalmente evoluem de uma infecção leve ou moderada para grave, para unidades hospitalares de referência.

O discurso dos ingressantes nos cursos de biblioteconomia de Santa Catarina: suas motivações para a escolha do curso

Este artigo tem por objetivo identificar o que motivou os alunos das atuais fases iniciais dos cursos de graduação em Biblioteconomia em Santa Catarina a ingressarem no curso. O estudo foi pensando tendo em vista as comemorações de 50 anos de regulamentação profissional e os 40 anos da Associação Catarinense de Bibliotecários (ACB). Acredita-se que este é um momento oportuno para se pensar a Biblioteconomia e refletir sobre a identidade profissional do bibliotecário. Apresenta revisão de literatura sobre o desenvolvimento da Biblioteconomia no Brasil e os fatores históricos que contribuíram para a consolidação deste campo de conhecimento teórico e prático. Enquanto fundamentação teórico-metodológica foram abordadas teorias referentes à construção social da realidade de Berger e Luckmann e as representações sociais de Moscovici. Os procedimentos metodológicos empregados estão voltados para a técnica do Discurso do Sujeito Coletivo (DSC), na qual foram coletados discursos, através de entrevistas com alunos das primeiras fases dos cursos de biblioteconomia da Universidade do Estado de Santa Catarina e da Universidade Federal de Santa Catarina

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

International audienceThe Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. The experiment consists of a near detector, sited close to the source of the beam, and a far detector, sited along the beam at a large distance. This document, the DUNE Near Detector Conceptual Design Report (CDR), describes the design of the DUNE near detector and the science program that drives the design and technology choices. The goals and requirements underlying the design, along with projected performance are given. It serves as a starting point for a more detailed design that will be described in future documents

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Separation of track- and shower-like energy deposits in ProtoDUNE-SP using a convolutional neural network

International audienceLiquid argon time projection chamber detector technology provides high spatial and calorimetric resolutions on the charged particles traversing liquid argon. As a result, the technology has been used in a number of recent neutrino experiments, and is the technology of choice for the Deep Underground Neutrino Experiment (DUNE). In order to perform high precision measurements of neutrinos in the detector, final state particles need to be effectively identified, and their energy accurately reconstructed. This article proposes an algorithm based on a convolutional neural network to perform the classification of energy deposits and reconstructed particles as track-like or arising from electromagnetic cascades. Results from testing the algorithm on experimental data from ProtoDUNE-SP, a prototype of the DUNE far detector, are presented. The network identifies track- and shower-like particles, as well as Michel electrons, with high efficiency. The performance of the algorithm is consistent between experimental data and simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6 $\times$ 6 $\times$ 6 m$^3$ liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019–2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties.DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6x6x6m3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties