Incidência da síndrome pré-menstrual na prática de esportes: aspectos atuais: Incidence of pre-menstrual syndrome in sports: current aspects

A síndrome pré-menstrual (SPM) é uma constelação complexa de alterações de humor, comportamentais e físicas que se limitam à fase pré-menstrual. Esses sintomas se recuperam dentro de alguns dias após o início da menstruação.  Assim, o objetivo desse estudo é demonstrar a incidência da síndrome pré-menstrual na prática de esportes a partir de uma revisão integrativa sobre o tema. Para isso, foi realizado uma revisão integrativa sobre o tema, onde foi considerado textos publicados desde 2010, em inglês e português e que estejam disponíveis para leitura, no PUBMED, LILACs e Scielo. Esta revisão sistemática fornece algum suporte adicional para diretrizes clínicas que recomendam o exercício como um tratamento eficaz para a TPM. As análises secundárias realizadas também fornecem novas evidências de que o exercício pode ser útil no alívio de sintomas psicológicos, físicos e comportamentais específicos associados à TPM, além de auxiliar no gerenciamento do perfil global de sintomas

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

Alcoolismo em pacientes submetidos a cirurgia bariátrica: uma revisão sistemática: Alcoholism in patients undergoing bariatric surgery: a systematic review

A Cirurgia bariátrica tem sido uma opção de muitas pessoas que visam superar a obesidade e garantir qualidade de vida e saúde. No entanto, casos de complicações clínicas após operação tem ocorrido, sendo comum a incidência de alcoolismo. Este estudo teve como objetivo refletir sobre as causas da incidência de alcoolismo entre pacientes que foram submetidos a cirurgias bariátricas. Para o alcance dessa finalidade, realizou-se uma revisão sistemática de literatura, selecionando-se fontes das bases de dados Scielo Brasil, PubMed e Biblioteca Virtual em Saúde (BVS), publicados em língua portuguesa, nos anos de 2017 a 2022. Realizando-se a análise dos dados concluiu-se que o transtorno do uso de álcool em pessoas submetidas à cirurgia bariátrica tem sido recorrente, especialmente entre homens de baixa renda e que fizeram a cirurgia do tipo bypass gástrico. Observou-se também que o consumo de álcool é maior no pós-operatório e que boa parte dos pacientes que se submeteu a esse tipo de cirurgia ignorava o risco de desenvolver o referido transtorno. Em função disso, boa parte dos estudos que integraram esta revisão reconhece a necessidade do acompanhamento, pela equipe de saúde, dos pacientes logo após a cirurgia bariátrica e a adesão desses ao tratamento devido, visando prevenir o transtorno do uso de álcool

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

Estudo do melhor m?todo de extrapola??o de regress?o m?ltipla para constru??o do modelo geometal?rgico de uma mina de fosfato brasileira.

A constru??o de modelos de blocos com estimativa dos teores in situ ? uma pr?tica rotineira durante a avalia??o de recursos, mas estas informa??es n?o s?o suficientes para entender o comportamento do min?rio no processo de beneficiamento. A geometalurgia prop?e a adi??o da resposta metal?rgica do min?rio no modelo de blocos, tornando-o mais confi?vel e aderente no que diz respeito ? capacidade de produ??o, gerando ganhos financeiros e reduzindo riscos. Uma vari?vel metal?rgica importante para o planejamento econ?mico e de mina ? a recupera??o m?ssica, informa??o muitas vezes subutilizada devido ? escassez de dados, o que dificulta sua aplica??o no planejamento. Visando um melhor aproveitamento das informa??es dispon?veis, empregou-se a t?cnica de an?lise de regress?o m?ltipla para desenvolver um modelo estat?stico que relacionasse a recupera??o m?ssica com teores in situ de uma mina de fosfato em estudo. O modelo constru?do mostrou que quanto maior o teor de P2O5 e quanto menores os teores de Fe2O3, SiO2 e TiO2 no ROM, maior era a recupera??o m?ssica obtida no processo de beneficiamento, e devido ? qualidade do modelo tornou-se poss?vel estimar esta resposta metal?rgica tendo somente a an?lise qu?mica dos teores in situ. O estudo da melhor forma de se aplicar o modelo de regress?o constru?do para a estimativa da recupera??o m?ssica m?dia dos blocos foi o foco desta disserta??o. Duas formas foram estudadas. A primeira delas consiste em aplicar o modelo nas amostras do banco de dados com an?lise qu?mica das vari?veis independentes P2O5, Fe2O3, SiO2 e TiO2, obtendo assim uma estimativa da recupera??o m?ssica em cada amostra, seguida de variografia e krigagem dos blocos. A segunda maneira consiste em variografar e krigar todas as vari?veis independentes do modelo constru?do, e aplicar a equa??o da regress?o bloco a bloco. Para avaliar as duas formas de se utilizar a equa??o constru?da foi elaborado um estudo que contemplou desde a coleta de amostras at? a reconcilia??o com a produ??o da usina, o que permitiu a identifica??o do melhor m?todo de extrapola??o do modelo de regress?o.The construction of block models with an estimation of their grades in situ is a common practice throughout the resource evaluation. However, this information is not enough to understand the behavior of the ore in the beneficiation process. Geometallurgy proposes the addition of ore?s metallurgical behavior in the block model, making it more dependable and adhering when it comes to the production capacity, which generates financial earnings and reduces risks. The mass recovery is an important metallurgical variable for the economic and mine planning. This is often underused due to the lack of data, which makes it hard to use it in the planning process. In order to reach a better use of the available data, the multiple regression analysis technique was used to develop a statistic model that would relate the mass recovery with the in situ grades observed in the phosphate mine under study. Through the constructed model was possible to realize that an increase in P2O5 grades and a decrease in Fe2O3, SiO2 and TiO2 grades leads to a greater mass recovery in the beneficiation process, so that it became possible to estimate this metalurgical variable having only the chemical analysis of in situ grades. The study of the best way to use the regression model was this thesis focus, since there are two ways to do it. The first one consists in applying the equation in dataset samples that contain chemistry analysis of the independent variables P2O5, Fe2O3, SiO2 and TiO2, generating an estimated mass recovery in each sample, allowing the geostatistic study of this metallurgical variable. The second way consists in doing the variography and the kriging of all the independent variables, making possible the use of the equation in each block, allowing a spatial understanding of mass recovery. To evaluate the both ways cited above a study was developed covering since samples obtainment until the reconciliation with the plant production, allowing the identification of the best application method of the regression model

Regression model utilization to estimate the mass recovery of a phosphate mine in Brazil.

The construction of block models with an estimation of grades in situ is a common practice throughout resource evaluation. However, this information is not enough to understand the behavior of the ore in the beneficiation process. Geometallurgy proposes the addition of the ore?s metallurgical behavior in the block model, making it more dependable and adhering when it comes to production capacity, which generates financial earnings and brings risks down. Mass recovery is an important metallurgical variable for economic and mine planning. This is often underused, due to the lack of data, making it hard to use in the planning process. In order to achieve better use of the data available, the multiple regression analysis technique was used so as to develop a statistic model that would relate the mass recovery with the in situ grades, allowing that deposit regions with no available metallurgical information have an estimation of this variable?s values

A Central Role For Neuronal Amp-activated Protein Kinase (ampk) And Mammalian Target Of Rapamycin (mtor) In High-protein Diet-induced Weight Loss.

A high-protein diet (HPD) is known to promote the reduction of body fat, but the mechanisms underlying this change are unclear. AMP-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR) function as majors regulators of cellular metabolism that respond to changes in energy status, and recent data demonstrated that they also play a critical role in systemic energy balance. Here, we sought to determine whether the response of the AMPK and mTOR pathways could contribute to the molecular effects of an HPD. Western blotting, confocal microscopy, chromatography, light microscopy, and RT-PCR assays were combined to explore the anorexigenic effects of an HPD. An HPD reduced food intake and induced weight loss in both normal rats and ob/ob mice. The intracerebroventricular administration of leucine reduced food intake, and the magnitude of weight loss and reduction of food intake in a leucine-supplemented diet are similar to that achieved by HPD in normal rats and in ob/ob mice, suggesting that leucine is a major component of the effects of an HPD. Leucine and HPD decrease AMPK and increase mTOR activity in the hypothalamus, leading to inhibition of neuropeptide Y and stimulation of pro-opiomelanocortin expression. Consistent with a cross-regulation between AMPK and mTOR to control food intake, our data show that the activation of these enzymes occurs in the same specific neuronal subtypes. These findings provide support for the hypothesis that AMPK and mTOR interact in the hypothalamus to regulate feeding during HPD in a leucine-dependent manner.57594-60

Perfil de medicamentos descartados pelos usuários do sistema único de saúde no município de Divinópolis-MG

O objetivo do estudo foi orientar profissionais e usuários do Sistema Único de Saúde (SUS) sobre o descarte e armazenamento de medicamentos, além de identificar o perfil de medicamentos descartados, em Divinópolis, Minas Gerais. As quatro etapas do estudo foram desenvolvidas de Março a Dezembro de 2014, a saber: 1) a escolha de doze Unidades de Saúde (Unidade Básica de Saúde ou Estratégia de Saúde da Família); 2)contato com a unidade de saúde para agendamento da palestra educativa; 3) realização da palestra e coleta dos medicamentos descartados; 4) Análise do perfil dos medicamentos coletados. Foram recolhidas 11.518 unidades de medicamentos, sendo 9.729 vencidos (84,5%). A forma farmacêutica mais encontrada foi o comprimido (95,2%). As classes farmacológicas mais coletadas foram os anti-hipertensivos (22,0%), hipoglicemiante oral (10,7%) e antiagregante plaquetário (10,6%). Observou-se elevada frequência de medicamentos vencidos, o que evidencia a necessidade de estratégias educativas para pacientes e equipe de saúde