As práticas integrativas e complementares em saúde e a qualidade de vida de idosos: revisão integrativa / Integrative and complementary practices in health and the quality of life of the elderly: integrative review

O processo de envelhecimento da população desafia os sistemas de saúde, sendo necessário ampliar os investimentos em ações de promoção da saúde e prevenção de doenças Nesse sentido, destacam-se as práticas que visam o bem-estar global do individuo, para além do alívio de sinais e sintomas. como as Práticas Integrativas e Complementares (PICs). Nesse sentido, o objetivo deste estudo é identificar as evidências disponíveis nas produções científicas sobre a qualidade de vida de idosos que utilizam as PICS. Trata-se, portanto, de estudo de revisão integrativa, fundamentada na Prática Baseada em Evidências. Utilizou-se a estratégia PICO, resultando num corpus de revisão composto por 16 publicações. Os dados foram organizados em um quadro sinóptico com as principais informações dos estudos selecionados. A avaliação crítica dos dados possibilitou a emersão da seguinte categoria: As principais PICS utilizadas em idosos para melhorar a qualidade de vida. Resultados: As principais PICS encontradas nas publicações que proprorcionaram a melhor qualidade de vida dos idosos foram: Medicina Ayurvédica, capoterapia, meditação/mindfulness, Reiki, Ioga, Intervenções comportamentais, musicoterapia, arteterapia, sauna ioga, relaxamento muscular/massoterapia, protocolo samba, Tai chi Qigong. Conclui-se que a utilização de práticas integrativas está diretamente relacionada ao bem estar e melhoria da qualidade de vida dos idosos

Transfusão sanguínea autóloga: revisão sistemática

Objetivo: determinar as indicações e vantagens da transfusão sanguínea autóloga. Método: Revisão sistemática de estudos, que abordaram a autotransfusão sanguínea, publicados entre o período de 2015 a 2020. Resultados: A pesquisa gerou 8.696 resultados e destes, foram selecionados 2 artigos que preencheram os critérios de seleção pré-estabelecidos. Nos estudos, autotransfusão foi indicada em casos de anemia hemolítica imune induzida por drogas, pressão arterial e frequência cardíaca baixas (devido a perda sanguínea), antecipação de perda de sangue > 1 litro, necessidade de uma ou mais unidades de transfusão de sangue alogênicas no período pós-operatório, recusas religiosas, hemotórax traumático e choque hemorrágico seguido de cirurgia toracoscópica. As vantagens descritas foram: ausência de reações transfusionais, tratamento de vítimas que requerem sangue no ponto de lesão e redução da necessidade de doadores. Não foram observadas complicações relacionadas. Conclusão: Apesar das vantagens da transfusão autóloga, ainda há uma quantidade escassa de artigos publicados sobre o tema. Dessa forma, é visto necessário a realização de ensaios clínicos adicionais que comparem os dois métodos, para esclarecer elegibilidade das diversas perspectivas de aplicação clínica de cada método no cenário de trauma

As manifestações clínicas do portador de paralisia facial

Introdução: A paralisia facial e um sintoma de um transtorno de base resultante em imobilidade e incapacidade de executar a mímica facial e a expressão emotiva. São várias as etiologias deste acometimento, sendo a classificação em paralisia facial periférica, representada classicamente pela paralisia de Bell e a central, pelo acidente vascular encefálico, adotada para auxiliar na investigação e seguimento clínico adequado. Objetivo: Descrever sobre a paralisia facial, com foco em características clínicas que propiciem ao diagnóstico precoce, medidas terapêuticas e restauração imediata. Metodologia: Revisão narrativa que selecionou artigos disponibilizados na íntegra publicados no recorte temporal de 2008 até 2022. Resultados: Dos 10 artigos incluídos neste estudo, todos realizaram uma ampla análise sobre a temática, a qual propiciou a disseminação de informações atualizadas sobre conceito, diagnóstico diferencial entre duas condições clínicas opostas resultantes em paralisia facial, manifestações, avaliação clínica e manejo adequado. Conclusão: Estudos ainda urgem em ser feitos no intuito de orientar melhor os profissionais e a comunidade a respeito da paralisia facial e a importância que possui o acompanhamento e seguimento precoce. Destarte,

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

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

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 understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Consistent patterns of common species across tropical tree communities

Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees.Publisher PDFPeer reviewe

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

Peer reviewe