Um best seller real: Uma análise literária do primeiro volume da série “O Diário da Princesa”

O Diário da Princesa, romance da escritora estadunidense Meg Cabot, atingiu o número de 5 milhões de exemplares vendidos e foi publicado em 38 países. Tal êxito confere ao livro o rótulo de best seller, expressão que envolve questões relacionadas aos aspectos editoriais quantitativos e ao mesmo tempo aspectos qualitativos e juízos de valor, os quais pressupõem a divisão entre uma alta literatura e uma baixa literatura. Dessa forma, o que se pretende nesse artigo é um estudo que se desvincule de uma defesa da alta literatura, analisando a construção do best selller O Diário da Princesa à luz do conceito de realismo formal proposto pelo crítico Ian Watt

A recepção e circulação dos romances de Jane Austen na Inglaterra, França e Brasil no período de 1811 a 1914

Jane Austen é, provavelmente, uma das romancistas do século XIX mais reconhecidas e aclamadas tanto pelo público quanto pela crítica atual. Com diversas releituras, filmes e séries televisivas baseadas em seus seis livros publicados, é difícil imaginar que Austen não tenha desfrutado de tanto reconhecimento em vida. Mas romances, especialmente os escritos por mulheres, eram mal vistos pela crítica. A publicação de seus romances, até o ano de 1914, esteve restrita, principalmente, à Inglaterra e França, e a primeira tradução brasileira de Orgulho e Preconceito, um de seus romances mais conhecidos, foi lançada apenas em 1940. Com este trabalho, pretendemos fazer uma breve apresentação acerca da recepção e da circulação dos romances de Jane Austen no século XIX e início do século XX

Amor nos tempos de Internet: do correio elegante ao Spotted

Se compararmos as interações sociais que ocorriam há vinte anos com as de hoje, veremos que nos socializamos de maneiras diferentes de outrora, já que, graças às redes sociais, as relações interpessoais e as produções de conteúdos estão sendo mediadas, moldadas, influenciadas e proporcionadas pelas novas tecnologias. Neste artigo, buscaremos descrever e analisar a página Spotted 2.0 – Because true love never dies, criada em julho de 2013 para alunos da Unicamp, através da qual os usuários podem procurar pessoas novas, mas que pertencem a um mesmo contexto geográfico e institucional, para a construção de uma amizade ou de um relacionamento amoroso com base nos interesses em comum. Para isso, partiremos da hipótese de que essa ferramenta se apresenta como uma versão online e melhorada do Correio Elegante

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

Advanced Stage at Diagnosis and Worse Clinicopathologic Features in Young Women with Breast Cancer in Brazil: A Subanalysis of the AMAZONA III Study (GBECAM 0115)

PURPOSE: Breast cancer (BC) in young women is uncommon and tends to present with more aggressive characteristics. To better understand and characterize this scenario in Brazil through real-world data, we performed a subanalysis of AMAZONA III study (ClinicalTrials.gov identifier: NCT02663973). METHODS: The AMAZONA III study (GBECAM 0115) is a prospective registry that included 2,950 women newly diagnosed with invasive BC in Brazil from January 2016 until March 2018 at 22 sites. Valid data were obtained from 2,888 patients regarding age at diagnosis and complete baseline information. To compare epidemiologic and clinicopathological features at the time of diagnosis, patients with BC were divided into two groups according to age: ≤ 40 years and > 40 years. Quantitative variables were described as means, and categorical variables were described as frequencies and percentages and compared using the Pearson's χ2 test. RESULTS: Of 2,888 women diagnosed with BC, 486 (17%) were ≤ 40 years old. Young women had higher educational level, most were employed and a significant number were married (P < .001 for all associations). Younger patients were more symptomatic at BC diagnosis (P < .001), and they also presented more frequently with stage III, T3/T4, grade 3 tumors, HER-2-positive, luminal B, and triple-negative subtypes. CONCLUSION: Brazilian women younger than age 40 years have unfavorable clinicopathological features of BC at diagnosis, with more aggressive subtypes and advanced stage when compared with older women. These differences are not explained by socioeconomic or ethnic imbalances. The causes of a higher prevalence of BC among young women in Brazil deserve additional investigation.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Resumos concluídos - Medicina

Resumos concluídos - Medicin