Análise qualitativa de dados de entrevista: uma proposta

A abordagem qualitativa em pesquisa nas áreas da Educação e Ciências Sociais tem representado um caminho alternativo à rigidez positivista. Entretanto, vem preocupando os pesquisadores brasileiros pela sua característica de não sistematização. Face a isso, o presente trabalho visa contribuir para uma discussão metodológica sobre análise qualitativa ao relatar um procedimento sequenciado, sistematizado e passível de ser aplicado a dados de entrevista semi-estruturada e livre, que compreende todos os passos, da construção do instrumento para coleta de dados à apreensão do significado das falas dos sujeitos, terminando numa redação precisa, dentro do enfoque teórico do pesquisador.The qualitative approach in educational and social sciences research has presented an alternative way to positivism rigidity. However, its lack of sistematization worries Brazilian researchers. Than, this paper is devoted to a methodological discussion about qualitative analysis through the account of one sequence of procedures, applicable to interview data (guide free and part structured). The system comprisses some degress from the data collection to the subjects speech aprehension of meaning and adds a precise report, respected the researcher theoretical approach

Praticas de educação da criança na família: a emergência do saber técnico-científico

Face ao grande conjunto de dúvidas e inseguranças evidenciadas pelos adultos quando se deparam com a tarefa de educar as gerações mais novas, propôs-se este estudo contribuir para o aprofundamento da análise do processo de alteração das concepções que norteiam as atitudes assumidas pelos socializadores, ao longo deste século no Brasil, ai incluidos os fatores a ela associados bem como as orientações que costumam procurar. Dados de três pesquisas são analisados, e eles têm por base o relato oral e/ou a informação veiculada pela imprensa escrita. Os resultados mostram o surgimento e a busca do Conhecimento Cientifico a partir da década de 50, que se faz acompanhar de alterações profundas nas formas de criar e educar crianças na familia e permitem que se levante explicações para o faro de, na sociedade brasileira contemporânea, os pais terem tantas dúvidas quanto à melhor maneira de educar sua prole.Young parents currently have many doubts ahout how to rear their children, searching for orientation with professionals such as the pediatrician, the Psychologist, the Teacher. As thisis a new situation, a study was carried out with two objetives: the first one is to contribute to the analysis of the process of change in the childrearing conceptions that guided the socializers attitudes during this century in Brazil; the second one is to discuss the possible social variables, present in the context, that correlate with the observed changes. Data of three pieces of research - two done through Oral Reports (mothers between 28 and 75 years old were interviewed abouttheir childrearing practices) and one througl^1 Written Reports (176 numbers of The Christian Family Magazine from 1935 to 1988 were studied) - were selected to be analysed and acategorization of the reports was prepared before the application of three types of analysis: Quantitative Descriptive, Quantitative- Interpretative and Qualitative. The results were reported following some themes: 1. The evolution in the search for orientation to rear children in the XX Century; 2. The different kinds of orientation followed by the family; 3. The orientations that were given to the families to rear well their children; 4.The satisfaction and security to rear children in this century.The results show that before the 1 950’s a ‘Folk Wisdom’ predominated although the Pediatrician was beginning to be sought to give orientations to the mothers; afterwards,there are big changes in urbanization and industrialization in the Brazilian society and the ‘Scientific Knowledge’ started to be seen as the only one able to promote development and adequacy to a’modern’ society. This brought deep alterations in the way children used to be reared in the family and, as a consequence, parents’insecurity appears when-the ‘folk wisdom’ is rejected by the new generations

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

Mitochondrial physiology

As the knowledge base and importance of mitochondrial physiology to evolution, health and disease expands, the necessity for harmonizing the terminology concerning mitochondrial respiratory states and rates has become increasingly apparent. The chemiosmotic theory establishes the mechanism of energy transformation and coupling in oxidative phosphorylation. The unifying concept of the protonmotive force provides the framework for developing a consistent theoretical foundation of mitochondrial physiology and bioenergetics. We follow the latest SI guidelines and those of the International Union of Pure and Applied Chemistry (IUPAC) on terminology in physical chemistry, extended by considerations of open systems and thermodynamics of irreversible processes. The concept-driven constructive terminology incorporates the meaning of each quantity and aligns concepts and symbols with the nomenclature of classical bioenergetics. We endeavour to provide a balanced view of mitochondrial respiratory control and a critical discussion on reporting data of mitochondrial respiration in terms of metabolic flows and fluxes. Uniform standards for evaluation of respiratory states and rates will ultimately contribute to reproducibility between laboratories and thus support the development of data repositories of mitochondrial respiratory function in species, tissues, and cells. Clarity of concept and consistency of nomenclature facilitate effective transdisciplinary communication, education, and ultimately further discovery

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library

Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years of operation (2014 July–2017 July). This is the third data release for SDSS-IV, and the 15th from SDSS (Data Release Fifteen; DR15). New data come from MaNGA—we release 4824 data cubes, as well as the first stellar spectra in the MaNGA Stellar Library (MaStar), the first set of survey-supported analysis products (e.g., stellar and gas kinematics, emission-line and other maps) from the MaNGA Data Analysis Pipeline, and a new data visualization and access tool we call "Marvin." The next data release, DR16, will include new data from both APOGEE-2 and eBOSS; those surveys release no new data here, but we document updates and corrections to their data processing pipelines. The release is cumulative; it also includes the most recent reductions and calibrations of all data taken by SDSS since first light. In this paper, we describe the location and format of the data and tools and cite technical references describing how it was obtained and processed. The SDSS website (www.sdss.org) has also been updated, providing links to data downloads, tutorials, and examples of data use. Although SDSS-IV will continue to collect astronomical data until 2020, and will be followed by SDSS-V (2020–2025), we end this paper by describing plans to ensure the sustainability of the SDSS data archive for many years beyond the collection of data