Insatisfação resignada: comentários sobre A flor da Inglaterra, de George Orwell

O objetivo desde artigo é comentar alguns aspectos referentes ao romance A Flor da Inglaterra, de George Orwell. Concentraremos nossa atenção no personagem central, Gordon Comstock. Nossa intenção é compreender algumas das escolhas e atitudes do personagem a partir de elementos internos à narrativa, bem como sugerir possíveis ligações com aspectos sociais e históricos. Isso talvez contribua para a compreensão daquilo que chamamos de insatisfação resignada, algo exemplificado pelo personagem.This article aims at commenting on some aspects of George Orwell's novel Keep the Aspidistra Flying. We will focus our attention on the central character, Gordon Comstock. Our intention is to understand some of the character's choices and attitudes based on inner elements from the narrative, as well as to suggest possible connections with social and historical aspects. This may contribute to the understanding of what we call resigned dissatisfaction, something exemplified by the character

Literatura e História em duas obras de George Orwell

A obra de George Orwell frequentemente estabelece conexões entre panorama histórico e forma literária. Tendo em vista um olhar crítico sobre a realidade, os narradores orwellianos tecem uma rede de estórias que refletem a fundo a Inglaterra dos anos 1930. No romance A Flor da Inglaterra e no ensaio documental O Caminho Para Wigan Pier está presente a discussão sobre o socialismo em diferentes camadas sociais, uma reverberação da tensão do período entre as Guerras Mundiais. Cada obra, à sua maneira, nos leva a algumas conclusões sobre as pontes entre história e literatura como ferramentas analíticas

A amamentação como prevenção da obesidade infantil: Uma revisão narrativa / Breastfeeding as prevention of childhood obesity: A narrative review

Objetivo: Avaliar a relação entre o aleitamento materno e a obesidade infantil, bem como suas consequências. Referencial bibliográfico: A alimentação recebida no início da vida impacta diretamente na origem dos desvios nutricionais na infância, sabe-se que o leite humano reúne os componentes ideais, com balanceamento adequado de nutrientes, sendo desnecessária a oferta de outros alimentos antes dos seis meses de vida. Por outro lado, a introdução alimentar precoce e consequentemente o desmame, pode acarretar sobrepeso, obesidade, doenças crônicas, alergias, diarreias, comorbidades gastrointestinais e respiratórias. A introdução precoce do leite não materno está relacionada a um excesso de oferta proteica, além disso a introdução alimentar muitas vezes é feita de forma inadequada com alimentos com potencial obesogênico, acarretando desta forma os distúrbios nutricionais. Considerações finais: A obesidade é um fator de risco para o desenvolvimento de inúmeras doenças e complicações, sendo cada vez mais prevalente na população infantil. Há uma relação direta desse distúrbio, com o desmame precoce e alimentação complementar inadequada e/ou precoce. Portanto faz-se necessário o incentivo à amamentação, como medida de prevenção ao sobrepeso e obesidade infantil

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 suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others