Saia! Vestes e contradições de uma performance

Este trabalho traz a linguagem da performance como um lugar de criação de novas realidades, uma brecha para falar das características da sociedade tradicionalista gaúcha e, consequentemente, de nossas próprias contradições, tendo a performance (Con)tradição como fio condutor e reflexivo da escrita. O processo criativo trouxe à tona a potencialidade da performance de criar territórios novos, fazendo com que por meio da arte seja possível refletir sobre nossas histórias e modos de ação cotidianos

Importância do manejo adequado da dor para pacientes em cuidados paliativos

O artigo em questão é uma revisão sistemática que aborda a importância do manejo adequado da dor em pacientes em cuidados paliativos. A pesquisa foi conduzida em bases de dados como Pubmed, Scielo e BVS, considerando artigos publicados entre 2018 e 2021. O estudo identificou que os principais tipos de dor enfrentados pelos pacientes em cuidados paliativos são dor visceral, dor neuropática e dor musculoesquelética. Além disso, foram encontrados diversos medicamentos utilizados no manejo da dor, como opióides, antidepressivos, anticonvulsivantes, anestésicos locais e anti-inflamatórios não esteroides. Para que o manejo da dor seja efetivo, é importante que haja uma abordagem individualizada de cada paciente, levando em conta suas condições clínicas, idade, sintomas e preferências pessoais. Contudo, os efeitos colaterais dos medicamentos também devem ser considerados, pois podem trazer prejuízos à qualidade de vida do paciente. Conclui-se que os cuidados paliativos têm um papel fundamental na melhora da qualidade de vida dos pacientes, principalmente no que se refere ao alívio da dor. Por isso, é importante que haja um esforço conjunto para garantir que esses pacientes recebam o tratamento adequado e personalizado que merecem

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

Skirt! Dresses and contradictions of a performance.

Este trabalho traz a linguagem da performance como um lugar de criação de novas realidades, uma brecha para falar das características da sociedade tradicionalista gaúcha e, consequentemente, de nossas próprias contradições, tendo a performance (Con)tradição como fio condutor e reflexivo da escrita. O processo criativo trouxe à tona a potencialidade da performance de criar territórios novos, fazendo com que por meio da arte seja possível refletir sobre nossas histórias e modos de ação cotidianos