A AGROINDÚSTRIA DE ALIMENTOS DE FRUTAS E HORTALIÇAS NO NORDESTE E NORTE DOS ESTADOS DE MINAS GERAIS E ESPÍRITO SANTO

A Região Nordeste tornou-se a maior produtora de frutas irrigadas e de sequeiro, resultando na instalação de unidades de processamento distribuídas em todos os estados da área de atuação do Banco do Nordeste do Brasil – BNB (Região Nordeste e norte dos Estados de Minas Gerais e Espírito Santo). Como principal órgão de desenvolvimento dessa Região, o BNB necessita conhecer as características e problemas do processamento agroindustrial de alimentos em sua área de atuação, contribuindo para suas ações e políticas em relação ao setor, sendo este o objetivo desta pesquisa. As fontes de informações para o trabalho foram entrevistas com agroindustriais, intermediários, produtores rurais, centros de pesquisa e supermercados. Os resultados permitem concluir que existem diferenças entre as categorias de agroindústria pesquisadas, principalmente no que diz respeito às formas de gestão, organização, linhas de produção, acesso à tecnologia, informações e participação no mercado. --------------------------------------------------The Northeast Region became it bigger producer of irrigated fruits and dry land, resulting in the installation of units of processing distributed in all the states of the area of performance of the Banco do Nordeste do Brasil - BNB (Northeast Region and north of the States of Minas Gerais and Espirito Santo). As main agency of development of this Region, the BNB needs to know the characteristics and problems of the agro-industrial food processing in its area of performance, contributing for its action and politics in relation to the sector, being this the objective of this research. The sources of information for the work had been agro-industrial, intermediate, producing interviews with agricultural, centers of research and supermarkets. The results allow to conclude that differences between the searched categories of agroindustry exist, mainly in that it says respect to the management forms, organization, lines of production, access to the technology, information and participation in the market.Agroindústria de alimentos, Processamento de frutas e hortaliças, Região Nordeste, Foods’ agroindustry, Processing of fruits and vegetable. Northeast Region, Agribusiness, Crop Production/Industries,

A AGROINDÚSTRIA DE ALIMENTOS DERIVADOS DE CACAU NO NORDESTE BRASILEIRO

O objetivo deste artigo é caracterizar o setor agroindustrial de alimentos derivados de cacau no Nordeste Brasileiro. O trabalho foi desenvolvido com base na metodologia de pesquisa descritiva e explicativa, focado na identificação das características e nas inter-relações entre os elos dessa atividade econômica no Nordeste. A agroindústria de derivados de cacau no Nordeste tem se expandido e apresentado maior integração com as cadeias produtivas do setor rural. Porém, o fortalecimento do setor agroindustrial depende, ainda, do fornecimento de matérias-primas com qualidade e regularidade; estabelecimento, disseminação e fiscalização de controles de qualidade e de normas e padrões sanitários; profissionalização de dirigentes nas áreas administrativas e de agronegócios; qualificação da mão-de-obra; assistência técnica com qualidade; regulamentação da concorrência; simplificação de normas fitossanitárias; educação e conscientização de consumidores, além da elevação de renda da população.---------------------------------------------------------------- ---------------The objective of this article is to characterize the agro-industrial food sector derived of cacao from Brazilian Northeast. The work was developed on the basis of the characteristics and the Inter-relations between the links of this economic activity from northeast. The agro-industry of derivatives of cacao in the Northeast if has expanded and presented bigger integration with the productive chains of the agricultural sector. However, to fortify the agro-industrial sector depends, still, of the raw material supply with quality and regularity; establishment, dissemination and fiscalization of norm and quality control and sanitary standards; professionalization of controllers in the administrative areas and agribusiness; qualification of the worker; assistance technique with quality; regulation of the competition; simplification of fitossanitaries norms; education and awareness of consumers, beyond the rise of income of the population.Agroindústria, Cacau, Nordeste Brasileiro, Agro-industry, Cacao, Brazilian Northeast, Agribusiness, Crop Production/Industries,

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

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

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

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

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