Activity recognition in a Physical Interactive RoboGame

In this paper, we investigate the possibility of human physical activity recognition in a robot game scenario. Being able to recognize types of activity is essential to enable robot behavior adaptation to support player engagement. Also, the introduction of this recognition system will allow for development of better models for prediction, planning and problem solving in PIRGs that can foster human-robot interaction. The experiments reported on this paper were performed on data collected from real in-game activity, where a human player faces a mobile robot. We use a custom single tri-axial accelerometer module attached to the player’s chest in order to capture motion information. The main characteristic of our approach is the extraction of features from patterns found on the motion variance rather than on raw data. Furthermore, we allow for the recognition of unconstrained motion given that we do not ask the players to perform target activities before hand: all detectable activities are derived from the free player motion during the game itself. To the best of our knowledge, this is the first paper to consider activity recognition in a physical interactive robogame

Comparison of denture microwave disinfection and conventional antifungal therapy in the treatment of denture stomatitis: a randomized clinical study

Objective. the aim of this study was to compare the effectiveness of denture microwave disinfection and antifungal therapy on treatment of denture stomatitis.Study Design. Sixty denture wearers with denture stomatitis (3 groups; n = 20 each), were treated with nystatin or denture microwave disinfection (1 or 3 times/wk) for 14 days. Mycologic samples from palates and dentures were quantified and identified with the use of Chromagar, and clinical photographs of palates were taken. Microbiologic and clinical data were analyzed with the use of a series of statistical tests (alpha = .05).Results. Both treatments similarly reduced clinical signs of denture stomatitis and growth on palates and dentures at days 14 and 30 (P > .05). At sequential appointments, the predominant species (P < .01) isolated was C. albicans (range 98%-53%), followed by C. glabrata (range 22%-12%) and C. tropicalis (range 25%-7%).Conclusions. Microwave disinfection, at once per week for 2 treatments, was as effective as topical antifungal therapy for treating denture stomatitis. (Oral Surg Oral Med Oral Pathol Oral Radiol 2012;114:469-479)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)CESMAC Univ Ctr, Sch Dent, Maceio, BrazilUniv Estadual Ponta Grossa, Dept Dent, Ponta Grossa, BrazilUniversidade Federal de São Paulo, Div Infect Dis, São Paulo, BrazilUNESP Univ Estadual Paulista, Araraquara Dent Sch, Araraquara, BrazilUniversidade Federal de São Paulo, Div Infect Dis, São Paulo, BrazilFAPESP: 2005/03211-6FAPESP: 2005/04695-7Web of Scienc

Bias and unfairness in machine learning models: a systematic literature review

One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study aims to examine existing knowledge on bias and unfairness in Machine Learning models, identifying mitigation methods, fairness metrics, and supporting tools. A Systematic Literature Review found 40 eligible articles published between 2017 and 2022 in the Scopus, IEEE Xplore, Web of Science, and Google Scholar knowledge bases. The results show numerous bias and unfairness detection and mitigation approaches for ML technologies, with clearly defined metrics in the literature, and varied metrics can be highlighted. We recommend further research to define the techniques and metrics that should be employed in each case to standardize and ensure the impartiality of the machine learning model, thus, allowing the most appropriate metric to detect bias and unfairness in a given context

Análise da saúde psíquica nos profissionais da saúde em tempos de Covid-19 / Analysis of psychic health in health professionals in times of Covid-19

A doença do coronavírus (COVID-19) surgiu em 2019 e em tão pouco tempo se tornou uma pandemia, onde causou inúmeros casos de contaminação e morte. O vírus permanece se espalhando pela população e embora haja medidas de segurança, como distanciamento social, uso de máscaras, isolamento social e vacinas eficazes contra a doença, o mesmo continua sofrendo mutações, que podem apresentar maior transmissibilidade e agressão. Com o aumento do número de infectados, a pandemia da COVID-19 causou um grande colapso hospitalar, gerando uma imensa preocupação e estresse entre os profissionais de saúde. O presente trabalho trata-se de uma revisão de literatura que tem como objetivo avaliar a saúde psíquica dos profissionais de saúde linha de frente na pandemia da COVID-19. Os estudos evidenciaram que, os profissionais na linha de frente à pandemia desenvolveram problemas psíquicos, como: ansiedade, depressão, insônia e outros. Diante do cenário pandêmico, a longa jornada de trabalho, o cansaço físico e psicológico afetam diretamente a saúde dos profissionais, principalmente os que trabalham na linha de frente, os quais desenvolveram síndrome de burnout, conhecida também como síndrome do esgotamento profissional, causada pelo estresse e exaustão. Segundo a Fundação Oswaldo Cruz (Fiocruz) e o Conselho Federal de Enfermagem (COFEN), muitos profissionais vieram a óbito e diversos se afastaram de suas atividades devido a COVID-19, essas informações afetam ainda mais o psicológico de outros profissionais. Contudo o trabalho dos mesmos no combate a COVID-19 são essenciais e sem eles seria impossível tratar ou prevenir a doença. Por isso, foram proporcionados meios de tratamento psíquicos a fim de minimizar os danos causados pela pandemia

Síndrome de Torsades de Pointes: análise de casos: Torsades de Pointes Syndrome: case analysis

A Síndrome de Torsades de Pointes (TdP) é uma taquiarritmia ventricular polimórfica de pacientes com um intervalo QT longo congênito ou induzido por fármacos, cujo eletrocardiograma possui aspecto de “torção das pontas” e os sinais e sintomas característicos são síncope, palpitação ou mesmo evolução para fibrilação ventricular e morte súbita. O sexo mais frequentemente acometido é o feminino, o diagnóstico se baseia no eletrocardiograma e o tratamento preconizado é o sulfato de magnésio (MgSO4) intravenoso, a correção dos distúrbios eletrolíticos, principalmente a hipocalemia e o tratamento da causa base, na TdP farmacoinduzida. O objetivo do estudo é analisar os casos de Síndrome de Torsades de Pointes em pacientes com alterações do intervalo QT no eletrocardiograma. Trata-se de uma revisão bibliográfica integrativa, do tipo quantitativa, que utilizou as plataformas do PubMed, SciELO e Cochrane Library como bases de dados para seleção dos artigos, todos na língua inglesa. Foram utilizadas literaturas publicadas com recorte temporal de 2017 a 2022. De acordo com as literaturas analisadas, conclui-se que a TdP é uma taquiarritmia ventricular polimórfica com um mau prognóstico se não tratada precocemente com o MgSO4 intravenoso e, por ter diversas etiologias, é primordial que o diagnóstico preciso seja estabelecido de forma rápida, devido ao alto índice de mortalidade. Pacientes portadores da síndrome do QT longo congênita, bradicardia sinusal e bloqueio atrioventricular de 1º grau possuem predisposição para o desenvolvimento de TdP. Observa-se escassez na literatura a respeito das formas adequadas de prevenção da TdP, já que muitos pacientes que participam das triagens, muitas das vezes inefetivas, adquirem a síndrome após o uso de drogas que a predispõem, com prolongamento do intervalo QT, ou não sabem que possuem uma SQTL pré-existente, obrigatória para o desenvolvimento da TdP

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Search for anomalous couplings in boosted WW/WZ -> l nu q(q)over-bar production in proton-proton collisions at root s=8TeV

Peer reviewe

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe

Electroweak production of two jets in association with a Z boson in proton-proton collisions root s =13 TeV

A measurement of the electroweak (EW) production of two jets in association with a Z boson in proton-proton collisions at root s = 13 TeV is presented, based on data recorded in 2016 by the CMS experiment at the LHC corresponding to an integrated luminosity of 35.9 fb(-1). The measurement is performed in the lljj final state with l including electrons and muons, and the jets j corresponding to the quarks produced in the hard interaction. The measured cross section in a kinematic region defined by invariant masses m(ll) > 50 GeV, m(jj) > 120 GeV, and transverse momenta P-Tj > 25 GeV is sigma(EW) (lljj) = 534 +/- 20 (stat) fb (syst) fb, in agreement with leading-order standard model predictions. The final state is also used to perform a search for anomalous trilinear gauge couplings. No evidence is found and limits on anomalous trilinear gauge couplings associated with dimension-six operators are given in the framework of an effective field theory. The corresponding 95% confidence level intervals are -2.6 <cwww/Lambda(2) <2.6 TeV-2 and -8.4 <cw/Lambda(2) <10.1 TeV-2. The additional jet activity of events in a signal-enriched region is also studied, and the measurements are in agreement with predictions.Peer reviewe