INOVAÇÃO SOCIAL NA SUPERAÇÃO DA VIOLÊNCIA DOMÉSTICA E FAMILIAR CONTRA A MULHER MEDIANTE SUPORTE DE POLÍTICAS PÚBLICAS INTEGRADAS

O objetivo deste trabalho é identificar a contextualização histórica mundial e nacional de conquistas relacionadas à superação da violência doméstica e familiar contra a mulher, até a promulgação da Lei da Penha e, a partir dela as políticas públicas formuladas em âmbito federal para serem operacionalizadas de forma integrada em níveis locais, com disseminação dos impactos positivos numa perspectiva multinível

INOVAÇÃO SOCIAL NA SUPERAÇÃO DA VIOLÊNCIA DOMÉSTICA E FAMILIAR CONTRA A MULHER MEDIANTE SUPORTE DE POLÍTICAS PÚBLICAS INTEGRADAS

O objetivo deste trabalho é identificar a contextualização histórica mundial e nacional de conquistas relacionadas à superação da violência doméstica e familiar contra a mulher, até a promulgação da Lei da Penha e, a partir dela as políticas públicas formuladas em âmbito federal para serem operacionalizadas de forma integrada em níveis locais, com disseminação dos impactos positivos numa perspectiva multinível

RED EUGLENOID BLOOMS: A BIOMARKER OF ENVIRONMENTAL IMPACT IN FLOODED RICE FIELDS

The nutrient load introduced into flooded rice fields is one of the main factorsthat impact this type of ecosystem, contributing to the development of bloomsof pigmented euglenoids. This study was carried out to investigate thebehavior of red euglenas, a group of pigmented euglenoids, forming blooms inthis type of environment. Sedimented spores in the soil after water drainage,as well as water samples from vegetative cells in living blooms were collected.The collected material was inoculated into a culturing medium for microalgaeand incubated for three weeks. The cultures grown in nutrient medium wereused for morphometric analysis to identify the species. In order to characterizethe water environment, chemical and physical parameters were alsomonitored "in situ". The results indicated Euglena sanguinea Ehr. as thebloom-forming species and nitrogen as a key element in the behavior of thisspecies in this type of ecosystem. It was suggested, however, that more studiesare needed to indicate the use of red euglenas as biomarkers of nitrogenoverload in flooded rice fields

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

Educomunicação e alfabetização midiática: conceitos, práticas e interlocuções

O livro organizado por Ismar de Oliveira Soares, Claudemir Edson Viana e Jurema Brasil Xavier apresenta uma série de artigos sobre o tema divididos em quatro partes: 1-Atualizando conceitos e práticas; 2-A educação midiática em diálogo com o currículo escolar; 3-A Educomunicação em interlocução com as políticas públicas; e, 4-A Educomunicação em interlocução com as políticas públicas. A obra dedica seus 24 artigos especificamente aos saberes e às práticas inerentes ao tema da alfabetização midiática. Numa perspectiva multidisciplinar, os leitores aqui encontrarão experiências alimentadas tanto pelos referenciais da mídia-educação quanto pelo paradigma da Educomunicação, que emerge dos movimentos sociais da América Latina, na confluência entre a comunicação alternativa e a educação popular freiriana, a partir dos anos de 1960 e 1970

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