Sistema Embarcado para transferência de sinais vitais usando o padrão Health Level 7 (HL7) / Embedded System for transferring vital signs using the Health Level 7 (HL7) standard

Aplicações pervasivas na assistência domiciliar à saúde são importantes e crescentes, contudo, em geral, são desenvolvidos sem seguir um padrão de comunicação com clínicas e hospitais, além de demandar uma infraestrutura especializada de hardware e software. Nesse contexto, coletar, transmitir e processar os dados do paciente remotamente se torna um desafio considerando o monitoramento remoto de saúde. Tomando como base o uso de tecnologia embarcada, o presente trabalho visa apresentar por meio de uma plataforma embarcada capaz de realizar o monitoramento de sinais vitais de aparelhos distintos a possibilidade de empacotar esses dados no protocolo HL7 (Health Level 7), que é um padrão internacionalmente utilizado em equipamentos de saúde para permitir a troca de informações através de mensagens mesmo entre aplicações distintas.  Nesse cenário o sistema viabiliza a transmissão de dados para uma aplicação servidora ou mesmo monitores multiparamétricos, oferecendo assim segurança e usabilidade, assim como a transmissão de dados clínicos que possibilitará um monitoramento que permita avaliar os sinais vitais do paciente

Um modelo para análise socioeconômica da criminalidade no município de Aracaju

Este trabalho tem por objetivo investigar as razões socioeconômicas da criminalidade em Aracaju, a partir de fontes primárias e secundárias de informação. Para tanto, parte-se de uma análise teórica, na qual foram identificadas quatro hipóteses explicativas para a criminalidade: (i) ato racional deliberado; (ii) relacionada com o ciclo econômico; (iii) decorrente da maior desigualdade social existente na economia contemporânea e; (iv) não diretamente relacionada com variáveis socioeconômicas. A seção seguinte descreve a metodologia empregada para a construção do banco de dados e para a análise por meio de regressão do tipo stepwise. Na última seção são apresentados os resultados: o modelo explica 90% do comportamento dos crimes contra o patrimônio, e as variáveis responsáveis por tal comportamento são: a concentração de renda, características da infra-estrutura existente nos bairros, a baixa densidade demográfica e a menor participação dos jovens no total da população.________________________________________________________________________________________ ABSTRACT: This paper aims to investigate the socioeconomic reasons of criminality in Aracaju/SE, using primary and secondary sources of information. Beginning with a theoretical analysis, we identified four hyphotesis to the criminality which are: (i) a deliberated rational action; (ii) related to the economic cycle; (iii) consequence of the growing social inequality in the contemporary economy and (iv) not directly related to the socioeconomic reasons. The next section describes the methodology employed to construct the database and for analysis through stepwise regression. The results are presented in the last section: our model explains 90% of the property crime behavior, mainly due: income inequality, existing characteristics of infrastructure in the city districts, low demographic density and low rate of youths participation in the whole population

Measurement of the top quark-pair production cross section with ATLAS in pp collisions at \sqrt{s}=7\TeV

A measurement of the production cross-section for top quark pairs(\ttbar) in $pp$ collisions at \sqrt{s}=7 \TeV is presented using data recorded with the ATLAS detector at the Large Hadron Collider. Events are selected in two different topologies: single lepton (electron $e$ or muon $\mu$) with large missing transverse energy and at least four jets, and dilepton ($ee$, $\mu\mu$ or $e\mu$) with large missing transverse energy and at least two jets. In a data sample of 2.9 pb-1, 37 candidate events are observed in the single-lepton topology and 9 events in the dilepton topology. The corresponding expected backgrounds from non-\ttbar Standard Model processes are estimated using data-driven methods and determined to be $12.2 \pm 3.9$ events and $2.5 \pm 0.6$ events, respectively. The kinematic properties of the selected events are consistent with SM \ttbar production. The inclusive top quark pair production cross-section is measured to be \sigmattbar=145 \pm 31 ^{+42}_{-27} pb where the first uncertainty is statistical and the second systematic. The measurement agrees with perturbative QCD calculations.Comment: 30 pages plus author list (50 pages total), 9 figures, 11 tables, CERN-PH number and final journal adde

Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H →γ γ, H → Z Z∗ →4l and H →W W∗ →lνlν. The results are based on the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of √s = 7 TeV and √s = 8 TeV, corresponding to an integrated luminosity of about 25 fb−1. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined fits probing Higgs boson couplings to fermions and bosons, as well as anomalous contributions to loop-induced production and decay modes, are presented. All measurements are consistent with expectations for the Standard Model Higgs boson

Measurement of the top quark pair cross section with ATLAS in pp collisions at √s=7 TeV using final states with an electron or a muon and a hadronically decaying τ lepton

A measurement of the cross section of top quark pair production in proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy of 7 TeV is reported. The data sample used corresponds to an integrated luminosity of 2.05 fb -1. Events with an isolated electron or muon and a τ lepton decaying hadronically are used. In addition, a large missing transverse momentum and two or more energetic jets are required. At least one of the jets must be identified as originating from a b quark. The measured cross section, σtt-=186±13(stat.)±20(syst.)±7(lumi.) pb, is in good agreement with the Standard Model prediction

Standalone vertex finding in the ATLAS muon spectrometer

A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at √s = 7 TeV collected with the ATLAS detector at the LHC during 2011

Hunt for new phenomena using large jet multiplicities and missing transverse momentum with ATLAS in 4.7 fb−1 of √s=7 TeV proton-proton collisions

Results are presented of a search for new particles decaying to large numbers of jets in association with missing transverse momentum, using 4.7 fb−1 of pp collision data at s√=7TeV collected by the ATLAS experiment at the Large Hadron Collider in 2011. The event selection requires missing transverse momentum, no isolated electrons or muons, and from ≥6 to ≥9 jets. No evidence is found for physics beyond the Standard Model. The results are interpreted in the context of a MSUGRA/CMSSM supersymmetric model, where, for large universal scalar mass m 0, gluino masses smaller than 840 GeV are excluded at the 95% confidence level, extending previously published limits. Within a simplified model containing only a gluino octet and a neutralino, gluino masses smaller than 870 GeV are similarly excluded for neutralino masses below 100 GeV

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio