765 research outputs found

    MOBILIZAÇÃO ARTICULAR DE MAITLAND COMO TRATAMENTO DA CERVICALGIA CRÔNICA: REVISÃO NARRATIVA DA LITERATURA

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    Introduction: Chronic neck pain is a common multifactorial musculoskeletal disorder that can cause disability. The limitations generated by neck pain compromise the individual's biopsychosocial well-being. Among the therapeutic approaches, joint mobilization stands out through the Maitland technique. Objective: To verify the effects of the Maitland technique as a treatment of chronic neck pain. Methodology: This is a narrative review of the literature. The data were taken from studies published in English and Portuguese in the period from 2013 to 2023, in the Pubmed, Pedro, Lilacs, Scielo databases, using the following descriptors in Portuguese: neck pain, neck pain, manual therapy and Maitland, as well as in English: neck pain, neck ache, manual therapy and Maitland. A total of 990 articles were pre-selected and after applying the eligibility criteria, 5 were included. Results and Discussion: The Maitland technique alone or associated with other therapies promotes pain reduction, gains in ROM and improvements in neck disability. Conclusion: Maitland is effective in treating chronic neck pain in adults, promoting symptom improvement.Introducción: El dolor crónico de cuello es un trastorno musculoesquelético multifactorial común que puede causar incapacidad. Las limitaciones que genera el dolor de cuello comprometen el bienestar biopsicosocial del individuo. Entre los abordajes terapéuticos destaca la movilización articular de Maitland. Objetivo: Verificar los efectos de la técnica Maitland como tratamiento para dolor crónico de cuello. Metodología: Esta es una revisión narrativa de la literatura. Los datos fueron tomados de estudios publicados en inglés y portugués en el período de 2013 a 2023, en las bases de datos Pubmed, Pedro, Lilacs, Scielo, utilizando los siguientes descriptores en portugués: dolor de cuello, dolor de cuello, terapia manual y Maitland, además como en inglés: dolor de cuello, dolor de cuello, terapia manual y Maitland. Se preseleccionaron un total de 990 artículos y tras aplicar los criterios de elegibilidad se incluyeron 5. Resultados y Discusión: La técnica de Maitland sola o asociada con otras terapias promueve la reducción del dolor, ganancias en el ROM y mejoras en la discapacidad del cuello. Conclusión: Maitland es eficaz en el tratamiento del dolor crónico de cuello en adultos, promoviendo la mejora de los sintomas.Introdução: A cervicalgia crônica é um distúrbio musculoesquelético multifatorial comum que pode gerar incapacidade. As limitações geradas pela dor no pescoço comprometem o bem-estar biopsicossocial do indivíduo. Dentre as condutas terapêuticas destaca-se a mobilização articular por meio da técnica de Maitland. Objetivo: Verificar os efeitos da técnica de Maitland como tratamento da cervicalgia crônica. Metodologia: Trata-se de uma revisão narrativa da literatura.  Os dados foram retirados de estudos publicados nos idiomas inglês e português no período de 2013 a 2023, nas bases de dados Pubmed, Pedro, Lilacs, Scielo, por meio dos seguintes descritores em português: cervicalgia, dor no pescoço, terapia manual e Maitland, bem como em inglês: neck pain, neck ache, manual therapy e Maitland. Um total de 990 artigos foram pré selecionados e após a aplicação dos critérios de elegibilidade, 5 foram incluídos. Resultados e Discussão: A técnica de Maitland isolada ou associada a outras terapêuticas promove diminuição da dor, ganho de ADM e melhora da incapacidade do pescoço. Conclusão: Maitland é eficaz no tratamento da cervicalgia crônica em adultos, promovendo melhora dos sintomas

    Resíduos sólidos, mais que uma Questão Ambiental, uma Questão Social

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    Este Trabalho visa relatar a experiência e os conhecimentos obtidos sobre o gerenciamento de resíduos sólidos, a partir de  um diagnóstico realizado no Instituto Federal de Educação Ciência e Tecnologia de Mato Grosso (IFMT - CAMPUS CUIABÁ),  Campus Octayde Jorge da Silva. O projeto de extensão contou com apoio financeiro do CNPq, Chamada CNPq/VALE S.A. Nº 05/2012 - Forma-Engenharia, projeto nº 454837/2012-7 e  integrou o Projeto Gestão dos Recursos Hídricos e Resíduos sólidos. Este projeto teve duração de 14 meses e foi dividido em três etapas. Na primeira etapa foi realizado o levantamento das  normas técnicas relativas a resíduos sólidos. Na segunda foi feito o diagnóstico da produção de resíduos sólidos na Instituição, tanto no quesito qualidade, quanto no quesito quantidade. Na terceira etapa realizou-se a análise das informações e  o desenvolvimento de algumas técnicas de educação ambiental com o intuito de contribuir na conscientização dos frequentadores do IFMT - CAMPUS CUIABÁ. Durante o desenvolvimento da pesquisa notaram-se várias irregularidades com relação ao armazenamento e o destino dos resíduos sólidos produzidos na Instituição. Os dados levantados, assim como as medidas tomadas com o intuito de minimizar os problemas que apareceram de forma cotidiana no Campus serão apresentados ao longo do artigo. Observou-se que as ações de educação ambiental adotadas não surtiram o efeito esperado junto à comunidade da instituição avaliada, talvez devido ao tempo curto ou à forma de abordagem. O artigo traz um breve relato sobre a importância da reciclagem dos resíduos sólidos na área da construção civil, inclusive analisando a visita à Eco Ambiental, empresa responsável pelo recolhimento e pela reciclagem de todos os resíduos sólidos referentes à construção civil da grande Cuiabá

    Hybrid Approach in Microscale Transport Phenomena: Application to Biodiesel Synthesis in Micro-reactors

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    A hybrid engineering approach to the study of transport phenomena, based on the synergy among computational, analytical, and experimental methodologies is reviewed. The focus of the chapter is on fundamental analysis and proof of concept developments in the use of nano- and micro-technologies for energy efficiency and heat and mass transfer enhancement applications. The hybrid approach described herein combines improved lumped-differential modeling, hybrid numericalanalytical solution methods, mixed symbolic-numerical computations, and advanced experimental techniques for micro-scale transport phenomena. An application dealing with micro-reactors for continuous synthesis of biodiesel is selected to demonstrate the instrumental role of the hybrid approach in achieving improved design and enhanced performance

    Pervasive gaps in Amazonian ecological research

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    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

    Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

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    Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented. Heavy-flavour jet identification algorithms have been improved compared to those used previously at centre-of-mass energies of 7 and 8 TeV. For jets with transverse momenta in the range expected in simulated tt\mathrm{t}\overline{\mathrm{t}} events, these new developments result in an efficiency of 68% for the correct identification of a b jet for a probability of 1% of misidentifying a light-flavour jet. The improvement in relative efficiency at this misidentification probability is about 15%, compared to previous CMS algorithms. In addition, for the first time algorithms have been developed to identify jets containing two b hadrons in Lorentz-boosted event topologies, as well as to tag c jets. The large data sample recorded in 2016 at a centre-of-mass energy of 13 TeV has also allowed the development of new methods to measure the efficiency and misidentification probability of heavy-flavour jet identification algorithms. The heavy-flavour jet identification efficiency is measured with a precision of a few per cent at moderate jet transverse momenta (between 30 and 300 GeV) and about 5% at the highest jet transverse momenta (between 500 and 1000 GeV)

    Evidence for the Higgs boson decay to a bottom quark–antiquark pair

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    Pervasive gaps in Amazonian ecological research

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    In COVID-19 Health Messaging, Loss Framing Increases Anxiety with Little-to-No Concomitant Benefits: Experimental Evidence from 84 Countries

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    The COVID-19 pandemic (and its aftermath) highlights a critical need to communicate health information effectively to the global public. Given that subtle differences in information framing can have meaningful effects on behavior, behavioral science research highlights a pressing question: Is it more effective to frame COVID-19 health messages in terms of potential losses (e.g., "If you do not practice these steps, you can endanger yourself and others") or potential gains (e.g., "If you practice these steps, you can protect yourself and others")? Collecting data in 48 languages from 15,929 participants in 84 countries, we experimentally tested the effects of message framing on COVID-19-related judgments, intentions, and feelings. Loss- (vs. gain-) framed messages increased self-reported anxiety among participants cross-nationally with little-to-no impact on policy attitudes, behavioral intentions, or information seeking relevant to pandemic risks. These results were consistent across 84 countries, three variations of the message framing wording, and 560 data processing and analytic choices. Thus, results provide an empirical answer to a global communication question and highlight the emotional toll of loss-framed messages. Critically, this work demonstrates the importance of considering unintended affective consequences when evaluating nudge-style interventions

    A global experiment on motivating social distancing during the COVID-19 pandemic

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    Finding communication strategies that effectively motivate social distancing continues to be a global public health priority during the COVID-19 pandemic. This cross-country, preregistered experiment (n = 25,718 from 89 countries) tested hypotheses concerning generalizable positive and negative outcomes of social distancing messages that promoted personal agency and reflective choices (i.e., an autonomy-supportive message) or were restrictive and shaming (i.e., a controlling message) compared with no message at all. Results partially supported experimental hypotheses in that the controlling message increased controlled motivation (a poorly internalized form of motivation relying on shame, guilt, and fear of social consequences) relative to no message. On the other hand, the autonomy-supportive message lowered feelings of defiance compared with the controlling message, but the controlling message did not differ from receiving no message at all. Unexpectedly, messages did not influence autonomous motivation (a highly internalized form of motivation relying on one’s core values) or behavioral intentions. Results supported hypothesized associations between people’s existing autonomous and controlled motivations and self-reported behavioral intentions to engage in social distancing. Controlled motivation was associated with more defiance and less long-term behavioral intention to engage in social distancing, whereas autonomous motivation was associated with less defiance and more short- and long-term intentions to social distance. Overall, this work highlights the potential harm of using shaming and pressuring language in public health communication, with implications for the current and future global health challenges

    Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

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    Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio
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