Webtelejornalismo no Paraná: O Telejornal Convencional no Ciberespaço

O presente estudo verifica como o telejornalismo do Paraná se configura na Web. Focaliza a transposição de telejornais produzidos para a televisão convencional em páginas de Internet de duas emissoras paranaenses, a RPC TV e a TV Tarobá. Descreve e analisa a transposição das reportagens dos telejornais Paraná TV 1ª Edição, e O Jornal Tarobá 1ª Edição. Identifica e classifica os modelos virtuais utilizados pelas emissoras bem como acompanha os momentos e as mudanças da transposição dos elementos destes dois telejornais para o ciberespaço

O discurso publicitário: análise e implicações para o Dia dos Namorados

Na publicidade utiliza-se de discursos previsíveis que, no caso do Dia dos Namorados, podem antecipar algumas manifestações.Palavras-chaves: publicidade, datas comemorativas, campanha

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

Aspectos ecológicos da leishmaniose tegumentar americana: 9. Prevalência/incidência da infecção humana nos municípios de Pedro de Toledo e Miracatu, São Paulo, Brasil

The epidemiological study was conducted during the 1973-1984 period. The clinical prospective exam and Montenegro skin, immunoflurescent and passive hemagglutination tests have been carried out in three small localities between Pedro de Toledo e Miracatu municipalities, São Paulo, Brazil. The retrospective study of human-cases involved 108 and 65 cases registered in Pedro de Toledo e Miracatu, respectively. In the three communities studied, 273 people were examinated clinically and serologically. Twenty two individuals had had signals of cutaneous leishmaniasis; 10.2 and 12.8% were seropositive to IF and HA. Leishmanin skin testing of a sample of 154 people residents in Pedra do Largo showed prevalence of Leishmania infection in 25.5%. This result involved individual of all ages and sex. However, 5.8% of them were from 0 to 9 years old. The data confirmed that active parasite transmission didn't occur every year, either. The human infection seems not to depend on man contact with a forest. The incidence relatively low suggests low endemic area for cutaneous leishmaniasis and an explosive behavior of the cases. The temporal distribution of disease was irregular and the epidemiological pattern seen was different from the other endemic area of South AmericaEste trabalho apresenta aspectos epidemiológicos da leishmaniose tegumentar nos municípios de Pedro de Toledo e Miracatu, região do Vale do Ribeira, estado de São Paulo, referente ao período 1973-1984. Foi feita uma análise retrospectiva de 108 e 65 casos humanos, respectivamente, para os dois municípios acima. Outro estudo prospectivo foi realizado através do exame clínico e testes de Montenegro, imunofluorescência indireta (IF) e hemaglutinação passiva (HA). Duzentos e setenta e três pessoas foram examinadas, sendo que 22 tinham leishmaniose clínica; 10,2 e 12,8% foram soropositivos à IF e HA, respectivamente. O teste de Montenegro foi aplicado em 154 indivíduos residentes em Pedra do Largo, com prevalência de 25,5% de infecção humana. Destes, 5,8% eram crianças com idade entre 0 e 9 anos. A morbidade mostrou-se variável no tempo, manifestada sob a forma de surtos epidêmicos explosivos e sugerindo feição cíclica ainda mal definida. Notou-se tendência para incidência nula em período subseqüente a cada surto. O aspecto epidemiológico geral mostra uma leishmaniose tegumentar com baixa endemicidade. O padrão de transmissão pareceu não depender do contato do homem com a floresta e a infecção humana sem distinção entre crianças e adulto