Algas marinhas bentônicas do municipio de Ilhéus, Bahia, Brasil

In this qualitative survey of benthic algae, were identified 77 laxa distributed into 22 Chlorophyta, 15 Phaeophyta and 40 Rhodophyta. Pterosiphonia pennata (C. Agardh) Falkenberg and Caulerpa taxifolia (H. West in Vahl) C. Agardh were recorded in the first time for Bahia State.Levantamento qualitativo das algas marinhas bentônicas, totalizando 77 táxons distribuídos em 22 Chlorophyta, 15 Phaeophyta e 40 Rhodophyta. Pterosiphonia pennata (C. Agardh) Falkenberg e Caulerpa taxtfolia (H. West in Vahl) C. Agardh constituem-se em novas citações para o Estado da Bahia.

Reflexos do pagamento por desempenho na atuação do(a)s profissionais da Atenção Primária à Saúde, Paraíba, Brasil

O estudo buscou compreender a influência da estratégia do Pay for Performance (P4P), por meio do Programa Nacional de Melhoria do Acesso e Qualidade da Atenção Básica (PMAQ-AB), na atuação do(a)s trabalhadore(a)s. Trata-se de um estudo de caso qualitativo realizado com o(a)s trabalhadore(a)s das Estratégias de Saúde da Família. A análise foi realizada mediante a técnica de construção de narrativas. Constatou-se que o P4P contribuiu para qualificação do processo de trabalho, ao mesmo tempo que estimulou competição e conflito entre as equipes, aflorando sentimentos de culpa e injustiça e, devido à precarização do trabalho, o estímulo financeiro se descaracteriza, tornando-se complemento salarial. Problemas macroestruturais afetam as condições de trabalho e a motivação do(a)s trabalhadore(a)s, de modo que modelos de incentivo financeiro, isoladamente, não são suficientes para reverter tal cenário

Propriedades da Alcachofra com Ênfase na Composição Nutricional/Properties of Artichoke with Emphasis on Nutritional Composition

O uso de plantas medicinais consiste em uma das mais antigas formas de prática medicinal utilizada tanto, para o tratamento quanto, para a cura e prevenção de doenças. Dentre as plantas medicinais de maior relevância, a alcachofra (Cynara scolymus L.) tem recebido destaque, devido aos seus efeitos benéficos sob a saúde humana. Diante disso, o objetivo do estudo foi identificar as propriedades da alcachofra com ênfase na composição nutricional. Para isso, foi realizada uma revisão narrativa através da busca em bancos de dados eletrônicos acerca das propriedades da alcachofra. As bases de dados consultadas foram: Scientific Electronic Library Online (SciELO), Biblioteca Virtual em Saúde (BVS) e outras Revistas Eletrônicas de Saúde, com dimensão temporal entre 2001 e 2018, nos idiomas português e inglês. Pode-se verificar com os dados obtidos, que a alcachofra atua com benefícios frente a doenças hepáticas, saúde intestinal, diabetes, apetite e hipercolesterolemia e suas propriedades bioativas estão associadas diretamente a sua composição química

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

Acta Botánica Malacitana

p. 5-12Algas marinhas bentinticas do municipio de Ilhéus, Bahia, Brasil. Levantamento qualitativo das algas marinhas bent6nicas, totalizando 77 taxons distribuídos em 22 Chlorophyta, 15 Phaeophyta e 40 Rhodophyta. Pterosiphonia pennata (C. Agardh) Falkenberg e Caulerpa taxtfolia (H. West in Vahl) C. Agardh constituem-se em novas citacaes para o Estado da Bahia