A transformação da tecnologia: mudanças das rotinas de edição da notícia nos telejornais do Brasil e de Portugal

A tese "A transformação da tecnologia: mudanças nas rotinas de edição da notícia nos telejornais do Brasil e de Portugal" corresponde a uma investigação que analisa a mudança promovida pela tecnologia com a introdução do sistema digital de edição não linear para realizar práticas profissionais do jornalismo televisivo. A alteração do processo de editar a notícia promovida pelo uso da tecnologia digital modifica a forma do jornalista atuar ao estabelecer novas rotinas para produzir e realizar os telejornais. O jornalista redefine as tarefas, marcadas pela divisão da atividade com um profissional especializado, apto pelo reconhecimento da competência técnica e o domínio da linguagem audiovisual. O sistema digital não linear incorpora através do computador procedimentos e recursos adotados para editar assimilados do cinema, desde o surgimento da televisão, o que permite ao jornalista intervir no processo de maneira direta. A análise baseia-se em um estudo comparativo entre telejornais do Brasil e de Portugal, exibidos no prime time por emissoras generalistas e segmentadas, especializada em transmitir notícia. A finalidade é avaliar a transformação de uma prática do jornalismo para elaborar a notícia como forma discursiva, influenciada pela tecnologia e a cultura profissional, como parte das rotinas produtivas. Compreender a mudança sobre a edição da notícia promovida pela tecnologia permite avaliar a modificação refletida na atuação e no perfil do jornalista – a condição de um profissional polivalente - em um ambiente influenciado por sucessivas alterações.The thesis "Transformation of technology: changes in news editing routines on the evening news from Brazil and Portugal" corresponds to an investigation that analyzes the change promoted by technology with the introduction of digital nonlinear editing system to perform professional television journalism practices. Changing the process of editing the news promoted by the use of digital technology changes the way the journalist act to establish new routines to produce and deliver the television news programs. The journalist redefines the tasks, marked by division of activity with a specialist, fit for the recognition of the competence and the field of audiovisual language. The nonlinear digital system incorporates through computer procedures and remedies taken assimilated to edit the film, since the advent of television, which allows the journalist to intervene in a direct way process. The analysis is based on a comparative study of TV news from Brazil and Portugal, shown in prime time by general and targeted stations, specializing in broadcast news. The purpose is to evaluate the transformation of a practice of journalism to develop the news as a discursive way, influenced by technology and the professional culture as part of the productive routines. Understanding the change on the issue of news promoted by technology allows evaluating the change reflected in the performance and journalist profile - the condition of a multi skill professional - in a setting influenced by successive amendments

Modeling of Dengue by Cluster Analysis and Probability Distribution Functions in the State of Alagoas in Brazilian

Abstract Dengue is a viral disease whose number of cases has increased in Brazil. This study aimed to characterize the spatio-temporal distribution patterns of the reported dengue infection cases in the state of Alagoas (AL), Northeastern Brazil (NEB). The data of the officially reported dengue cases from 2000 to 2015 was retrieved from the State Health Secretariat of Alagoas (SESAL), which captures national demographic and health data from the System for the Reporting of Notifiable Conditions (SINAN). After applying the Kernel Density Estimation (KDE) function, maps were generated based on the Inverse Distance Weighting (IDW) interpolation method. By using the clusters analysis (CA) technique, three homogeneous groups of dengue in AL were determined. Next, the LN (Lognormal), GUM (Gumbel) and GEV (Generalized Extreme Value) probability distributions were applied to monthly model dengue case data in AL, with the LN continuous probability distribution standing out. Maceió and Arapiraca have a higher number of dengue cases than other cities, being the main reason for their interpretation as separate groups. The coefficients of determination (R2) of dengue cases analysis as a function of month of each year for the studied years were low (between 0.03 and 0.63) and many regression slopes were not significant. Pearson's correlation coefficient (r) between dengue and the Human Development Index (HDI) of LA was considered moderate (0.53) and the correlation between dengue and demographic density was high (0.76). The importance of constant monitoring and assistance for these areas is reinforced

Historical Evolution of the Use of Digital Technology in Teaching Mathematics in Brazilian Classrooms

Digital technologies are important tools to adapt the teaching of mathematics to students, but even with a wide use there are few studies historically detailing this mode of teaching, so this work aims to historically demonstrate the evolution of the technologies used. To achieve this objective, a bibliographic review was carried out in the SCIELO, SBEM, SBM and PROFMAT databases, obtaining as a result 15 articles that use some resources of digital technology as a tool for teaching mathematics, thus managing to have a timeline that includes the computer, diskette, CD/DVD, webcam, digitizing tablet, video projector, digital whiteboard, and some mathematical software, concluding that teachers already use digital technology in the classroom as a means of improving the teaching-learning process

Rainfall in the urban area and its impact on climatology and population growth

Due to the scarcity of studies linking the variability of rainfall and population growth in the capital cities of Northeastern Brazil (NEB), the purpose of this study is to evaluate the variability and multiscale interaction (annual and seasonal), and in addition, to detect their trends and the impact of urban growth. For this, monthly rainfall data between 1960 and 2020 were used. In addition, the detection of rainfall trends on annual and seasonal scales was performed using the Mann–Kendall (MK) test and compared with the phases of El Niño-Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO). The relationship between population growth data and rainfall data for different decades was established. Results indicate that the variability of multiscale urban rainfall is directly associated with the ENSO and PDO phases, followed by the performance of rain-producing meteorological systems in the NEB. In addition, the anthropic influence is shown in the relational pattern between population growth and the variability of decennial rainfall in the capitals of the NEB. However, no capital showed a significant trend of increasing annual rainfall (as in the case of Aracaju, Maceió, and Salvador). The observed population increase in the last decades in the capitals of the NEB and the notable decreasing trend of rainfall could compromise the region’s water security. Moreover, if there is no strategic planning about water bodies, these changes in the rainfall pattern could be compromising

O clickbait no ciberjornalismo português e brasileiro: o caso brasileiro

O trabalho tem como proposta analisar a incidência de "clickbait" no jornalismo online português e brasileiro. Faz parte de uma atividade realizada em conjunto por pesquisadores brasileiros e portugueses, em que cada grupo efetuou a verificação em 18 veículos de informação geral do seu país com abrangência nacional, com produção própria e atualizada frequentemente, tanto nas páginas Web, assim como no Facebook. Este artigo traz os resultados encontrados na amostra brasileira que apontam um alto índice de "clickbait" ao se verificar os dados gerais, com 54,4% da amostra com ocorrência desta prática. Ao mesmo tempo, os valores se reduzem ao olharmos os 32 indicadores individualmente, em que apenas três tiveram índices superiores a 10%.The paper aims to analyze the incidence of clickbait in Portuguese and Brazilian online journalism. It is part of an activity carried out jointly by Brazilian and Portuguese researchers, in which each group carried out the verification in the Web and Facebook pages of 18 general information vehicles of such countries, each having national coverage, as well as its own production and frequent updates. This article presents the results found in the Brazilian sample that shows a high clickbait index, of 54.4%, when crosschecking the general data. On the other hand, the values are reduced when we look at the 32 indicators individually, in which only three had rates above 10%

O clickbait no ciberjornalismo português e brasileiro: o caso português

A investigação que aqui se apresenta partiu da proposta de analisar a incidência de clickbait no ciberjornalismo português e brasileiro. Faz parte de um projeto desenvolvido em conjunto por investigadores brasileiros e portugueses, em que cada grupo efetuou a verificação em 18 cibermeios de informação geral do seu país com abrangência nacional e com produção própria e atualizada frequentemente, tanto nas páginas Web como no Facebook. Neste artigo apresentamos os resultados encontrados nos 270 títulos/conteúdos que constituíram a amostra portuguesa, que apontam para um índice de clickbait de 39,6%. Analisando individualmente os 32 indicadores, verificamos que nenhum chega aos 10%, destacando-se como valor mais alto a "Informação empolada", presente em 8,5% da amostra.The paper aims to analyze the incidence of clickbait in Portuguese and Brazilian online journalism. It is part of an activity carried out jointly by Brazilian and Portuguese researchers, in which each group carried out the verification in the Web and Facebook pages of 18 general information vehicles of such countries, each having national coverage, as well as its own production and frequent updates. This article presents the results found in the Portuguese sample that shows a high clickbait index, of 39,6%, when cross-checking the general data. On the other hand, the values are reduced when we look at the 32 indicators individually, all of them with rates below 10%

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