Análise dos Incêndios Florestais num período de 30 anos (1990-2017). Caso de estudo Concelho de Mação (Portugal)

As mudanças climáticas globais são uma temática de grande destaque na nossa sociedade, surgindo, inevitavelmente, associado a esta preocupação, o aumento dos gases de efeito de estufa (GEE) presentes na atmosfera. Segundo Chuvieco et al. (2007) os incêndios florestais são responsáveis por quase 40% das emissões totais de CO2, aumentando significativamente na contribuição dos GEE na atmosfera. Uma forma de compreender os fluxos associados ao carbono é o estudo da quantificação da biomassa florestal, que atua como sumidouro. Ao ocorrer um incêndio florestal, esta dinâmica fica profundamente afetada (Celes et al., 2013).Este artigo é financiado por Fundos Nacionais através da FCT - Fundação para a Ciência e a Tecnologia no âmbito do projeto UID/SOC/04020/2013.info:eu-repo/semantics/publishedVersio

An assessment of forest fires and CO2 gross primary production from 1991 to 2019 in Mação (Portugal)

Forest-fire rates have increased in Southern European landscapes. These fires damage forest ecosystems and alter their development. During the last few decades, an increase in fast-growing and highly fuel-bearing plant species such as bush, Eucalyptus globulus Labill., and Pinus pinaster Ait. has been observable in the interior of Portugal. This study aims to verify this assumption by the quantification of the biomass carbon sink in the forests of the Mação municipality. Maps of fire severity and forest biomass evolution after a wildfire event were produced for the period of 1991 to 2019. To quantify carbon retention in this region, this evolution was correlated with gross primary production (GPP) on the basis of satellite imagery from Landsat 5, Landsat 8, and MODIS MYD17A2H. Results show that wildfires in Mação increased in area and severity with each passing decade due to the large accumulation of biomass promoted by the abandonment of rural areas. Before the large fires of 2003, 2017, and 2019, carbon rates reached a daily maximum of 5.4, 5.3, and 4.7 gC/m2/day, respectively, showing a trend of forest-biomass accumulation in the Mação municipality.UIDB/04020/2020; UIDB/04292/2020info:eu-repo/semantics/publishedVersio

Análise de planos de ensino de educação (alimentar e) nutricional nos cursos de nutrição

Objetivo: analisar os planos de ensino da disciplina de Educação Nutricional em cursos de Nutrição no Brasil. Métodos: trata-se de um estudo qualitativo, exploratório e descritivo, de caráter transversal, tipo survey, realizado por meio de carta-convite às instituições que possuíam turmas formadas até o término do primeiro semestre de 2010 e que disponibilizaram planos de ensino da disciplina de Educação Nutricional. Para a realização da análise textual dos planos de ensino, foi utilizado o software Análise de Dados Textuais (Image, Toulouse, França) versão 4.7 e foi adotada a teoria das representações sociais como modelo teórico. Resultados: os dados da pesquisa foram oriundos de 46 instituições (11,7%), das quais 18 eram públicas. A análise lexical revelou a formação de dois eixos independentes, compostos, respectivamente, por palavras originárias das bibliografias apresentadas nas ementas da disciplina e por palavras relacionadas ao programa da mesma, representando uma falta de associação entre 'referências' e 'texto'. Quanto ao conteúdo programático, observou-se que o processo educacional deve ser composto por análise, planejamento e implementação, mas essas três etapas (definidas por classes) não parecem estar articuladas, revelando uma fragmentação no ensino da educação (alimentar e) nutricional. Conclusão: esta análise revelou a necessidade de reestruturação das ementas da disciplina Educação Nutricional no sentido de promover uma maior integração do binômio teoria-prática. Contudo, para uma maior efetividade de atuação dos futuros profissionais, sugere-se um repensar mais amplo, que envolva os planos políticos pedagógicos dos cursos e as Diretrizes Curriculares Nacionais.Objective: to analyze the Nutrition Education discipline syllabus in Nutrition undergraduate courses in Brazil. Methods: this is a qualitative, exploratory, descriptive cross-sectional study, carried out in the form of survey. A letter of invitation was sent to higher education institutions that had at least one class that graduated by the end of the first semester of 2010 and provided the Nutrition education discipline syllabus. The software Analyse Lexicale par Contexte d'un Ensemble de Segments de Texte (Image, Toulouse, França) version 4.7 was used in the textual data analysis of the syllabuses, and the social representation theory was adopted as the theoretical model. Results: data were obtained from 46 participant higher education institutions (11.7%), of which 18 were public institutions. Lexical analysis revealed the formation of two independent axes, which were composed respectively of words from the reference list of relevant books and articles included in the discipline syllabus and words related to the discipline program, indicating a lack of association between "reference list" and "text". As for the syllabus content, it was observed that the educational process should be composed of analysis, planning, and implementation, but these three steps (defined by classes) do not seem to be related or connected to each other, demonstrating a nutrition (and food) education teaching gap. Conclusion: this analysis revealed the need to restructure the nutrition education syllabuses to promote greater integration between theory and practice. However, in order to ensure higher qualification and competence of future professionals, it is suggested deeper consideration including the political-pedagogical projects of nutrition undergraduate programs and the Diretrizes Curriculares Nacionais (National Curriculum Guidelines)

Body dissatisfaction, dieting and risk behaviors for eating disorders among mothers living in Santos

OBJETIVO: Avaliar a insatisfação corporal, a prática de dietas e os comportamentos de risco para transtornos alimentares em uma amostra de mães residentes no município de Santos. MÉTODOS: Foi realizado um estudo transversal, de base populacional, com 453 mães de filhos com até 10 anos de idade. As mães responderam ao Teste de Atitudes Alimentares (EAT-26), à Escala de Figuras de Stunkard e a uma questão sobre a prática atual de dietas. RESULTADOS: Das mães, 29,9% apresentaram escore positivo para os comportamentos de risco para transtornos alimentares e 21,8% estavam fazendo dieta para emagrecer no momento da entrevista. No tocante à imagem corporal, 17,5% das mães estavam satisfeitas com o seu tamanho corporal, 71,5% gostariam de diminuir seu tamanho corporal e 11,0% gostariam de aumentá-lo. Os comportamentos de risco para transtornos alimentares foram mais frequentes nas mães insatisfeitas com seus tamanhos corporais (p < 0,0001). CONCLUSÃO: A maioria das mães investigadas estava insatisfeita com os seus tamanhos corporais. A frequência de mães que praticavam dietas ou tinham comportamentos de risco para transtornos alimentares foi similar ou superior aos demais estudos nacionais, conduzidos, em sua maioria, com populações consideradas de risco, como meninas adolescentes e jovens universitárias

Post-intervention Status in Patients With Refractory Myasthenia Gravis Treated With Eculizumab During REGAIN and Its Open-Label Extension

OBJECTIVE: To evaluate whether eculizumab helps patients with anti-acetylcholine receptor-positive (AChR+) refractory generalized myasthenia gravis (gMG) achieve the Myasthenia Gravis Foundation of America (MGFA) post-intervention status of minimal manifestations (MM), we assessed patients' status throughout REGAIN (Safety and Efficacy of Eculizumab in AChR+ Refractory Generalized Myasthenia Gravis) and its open-label extension. METHODS: Patients who completed the REGAIN randomized controlled trial and continued into the open-label extension were included in this tertiary endpoint analysis. Patients were assessed for the MGFA post-intervention status of improved, unchanged, worse, MM, and pharmacologic remission at defined time points during REGAIN and through week 130 of the open-label study. RESULTS: A total of 117 patients completed REGAIN and continued into the open-label study (eculizumab/eculizumab: 56; placebo/eculizumab: 61). At week 26 of REGAIN, more eculizumab-treated patients than placebo-treated patients achieved a status of improved (60.7% vs 41.7%) or MM (25.0% vs 13.3%; common OR: 2.3; 95% CI: 1.1-4.5). After 130 weeks of eculizumab treatment, 88.0% of patients achieved improved status and 57.3% of patients achieved MM status. The safety profile of eculizumab was consistent with its known profile and no new safety signals were detected. CONCLUSION: Eculizumab led to rapid and sustained achievement of MM in patients with AChR+ refractory gMG. These findings support the use of eculizumab in this previously difficult-to-treat patient population. CLINICALTRIALSGOV IDENTIFIER: REGAIN, NCT01997229; REGAIN open-label extension, NCT02301624. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that, after 26 weeks of eculizumab treatment, 25.0% of adults with AChR+ refractory gMG achieved MM, compared with 13.3% who received placebo

Minimal Symptom Expression' in Patients With Acetylcholine Receptor Antibody-Positive Refractory Generalized Myasthenia Gravis Treated With Eculizumab

The efficacy and tolerability of eculizumab were assessed in REGAIN, a 26-week, phase 3, randomized, double-blind, placebo-controlled study in anti-acetylcholine receptor antibody-positive (AChR+) refractory generalized myasthenia gravis (gMG), and its open-label extension

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