O Ministério Público na nova lei de falência : visão crítica

Aborda a Lei de Falências em vigor desde fevereiro de 2005, tratando do interesse público compreendido pela lei, destacando a necessidade de intervenção do Ministério Público no processo falimentar

La administración electrónica como herramienta de inclusión digital

¿Puede ser la administración electrónica una herramienta de inclusión digital? ¿Qué puede aportar la administración electrónica para avanzar en la inclusión digital? ¿Qué podemos hacer, cada uno desde nuestra actividad, para favorecer la inclusión digital? Estas son algunas de las preguntas que se formulaban los participantes en las III Jornadas sobre Derecho y Tecnología así como al XI Encuentro de Gobierno Electrónico e Inclusión Digital, celebrados en Zaragoza los días 23 y 24 de mayo de 2011. Cada uno, desde su perspectiva, trató de aportar ideas en esa línea que marcamos en la convocatoria del evento: «La administración electrónica como herramienta de inclusión digital». Estas aportaciones están recogidas en este libro, agrupadas en tres bloques diferentes. En el primero, bajo el título Políticas de inclusión digital desde la perspectiva de la administración electrónica, tienen cabida aquellas reflexiones sobre qué hacer para favorecer la inclusión digital desde la administración electrónica, con enfoques concretos en Brasil o Iberoamérica, o de tipo general, aplicable en cualquier país. En el segundo, el título Casos reales de inclusión digital desde la perspectiva de la administración electrónica reúne experiencias concretas llevadas a cabo en España y Brasil. Por último, y no menos importante, el título Inclusión digital desde las aulas universitarias recoge propuestas para fomentar la inclusión digital desde las aulas universitarias

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Evaluation of the neonatal outcomes of the kangaroo mother method in Brazil

Objetivo: Avaliar os resultados do método canguru no Brasil. Métodos: Estudo de coorte prospectivo comparando 16 unidades que possuíam ou não a segunda fase do método canguru: oito eram centros nacionais de referência para o método canguru (grupo estudo), e oito faziam parte daRede Brasileira de Pesquisas Neonatais (grupo controle). Foramincluídos 985 recém-nascidos pesando entre 500 e 1.749 g. Na análise multivariada, utilizou-se a regressão linear múltipla e a regressão de Poisson com ajuste robusto. Resultados:Naanálise ajustada (para peso de nascimento, idade gestacional, Score for Neonatal Acute Physiology Perinatal Extension II, Neonatal Therapeutic Intervention Scoring System, idade e escolaridade maternas), o tempo médio de internação (p = 0,14) e intercorrências clínicas na unidade intermediária ou canguru foram iguais entre os grupos. Peso (p = 0,012), comprimento (p = 0,039) e perímetro cefálico (p = 0,006) com 36 semanas de idade gestacional corrigida forammenores nas unidades canguru. As unidades canguru tiveram desempenho superior em relação ao aleitamento materno exclusivo na alta (69,2 versus 23,8%, p = 0,022). Conclusão: As evidências sugerem que a estratégia de humanização adotada pelo Ministério da Saúde é uma alternativa segura ao tratamento convencional e uma boa estratégia para a promoção do aleitamento materno.Objective: To evaluate the results of the kangaroo mother method in Brazil. Methods: A prospective cohort study comparing 16 units that have or do not have the second phase of the kangaroo mother method: eight were national centers of excellence for the kangaroo mother method (study group) and eight were part of the Brazilian Neonatal Research Network (control group). A total of 985 newborn infants with birth weights of 500 to 1,749 g were enrolled. Multivariate analyses employedmultiple linear regression and Poisson regression with robust adjustment. Results: The adjusted analysis (controlled for birth weight, gestational age, Score for Neonatal Acute Physiology Perinatal Extension II, Neonatal Therapeutic Intervention ScoringSystem, and maternal age and educational level) demonstrated that mean length of hospital stay (p = 0.14) and intercurrent clinical conditions in the intermediate or kangaroo unit were equal for both groups. Weight (p = 0.012), length (p = 0.039) and head circumference (p = 0.006) at 36 weeks’ corrected gestational age were all lower at the kangaroo units. The kangaroo units exhibited superior performance in relation to exclusive breastfeeding at discharge (69.2 vs. 23.8%, p=0.022). Conclusions: The evidence suggests that the humanization strategy adopted by the Brazilian Ministry of Health is a safe alternative to conventional treatment and a good strategy for promoting breastfeeding

Evaluation of the neonatal outcomes of the kangaroo mother method in Brazil

Objetivo: Avaliar os resultados do método canguru no Brasil. Métodos: Estudo de coorte prospectivo comparando 16 unidades que possuíam ou não a segunda fase do método canguru: oito eram centros nacionais de referência para o método canguru (grupo estudo), e oito faziam parte daRede Brasileira de Pesquisas Neonatais (grupo controle). Foramincluídos 985 recém-nascidos pesando entre 500 e 1.749 g. Na análise multivariada, utilizou-se a regressão linear múltipla e a regressão de Poisson com ajuste robusto. Resultados:Naanálise ajustada (para peso de nascimento, idade gestacional, Score for Neonatal Acute Physiology Perinatal Extension II, Neonatal Therapeutic Intervention Scoring System, idade e escolaridade maternas), o tempo médio de internação (p = 0,14) e intercorrências clínicas na unidade intermediária ou canguru foram iguais entre os grupos. Peso (p = 0,012), comprimento (p = 0,039) e perímetro cefálico (p = 0,006) com 36 semanas de idade gestacional corrigida forammenores nas unidades canguru. As unidades canguru tiveram desempenho superior em relação ao aleitamento materno exclusivo na alta (69,2 versus 23,8%, p = 0,022). Conclusão: As evidências sugerem que a estratégia de humanização adotada pelo Ministério da Saúde é uma alternativa segura ao tratamento convencional e uma boa estratégia para a promoção do aleitamento materno.Objective: To evaluate the results of the kangaroo mother method in Brazil. Methods: A prospective cohort study comparing 16 units that have or do not have the second phase of the kangaroo mother method: eight were national centers of excellence for the kangaroo mother method (study group) and eight were part of the Brazilian Neonatal Research Network (control group). A total of 985 newborn infants with birth weights of 500 to 1,749 g were enrolled. Multivariate analyses employedmultiple linear regression and Poisson regression with robust adjustment. Results: The adjusted analysis (controlled for birth weight, gestational age, Score for Neonatal Acute Physiology Perinatal Extension II, Neonatal Therapeutic Intervention ScoringSystem, and maternal age and educational level) demonstrated that mean length of hospital stay (p = 0.14) and intercurrent clinical conditions in the intermediate or kangaroo unit were equal for both groups. Weight (p = 0.012), length (p = 0.039) and head circumference (p = 0.006) at 36 weeks’ corrected gestational age were all lower at the kangaroo units. The kangaroo units exhibited superior performance in relation to exclusive breastfeeding at discharge (69.2 vs. 23.8%, p=0.022). Conclusions: The evidence suggests that the humanization strategy adopted by the Brazilian Ministry of Health is a safe alternative to conventional treatment and a good strategy for promoting breastfeeding