Caracterização estrutural e bioquímica do colmo das espécies brasileiras do gênero Saccharum L. (POACEAE)

Devido à sua posição de destaque na economia global, a cultura da cana-de-açúcar é constantemente estudada em programas de melhoramento, acreditamos que as espécies nativas de Saccharum podem servir como diversidade de germoplasma, uma vez que em várias outras culturas é comum a utilização de espécies nativas não cultivadas. No Brasil ocorrem três espécies nativas de Saccharum (S. angustifolium, S. asperum e S. villosum), mas as informações sobre elas são escassas e a identificação é baseada nas inflorescências e lâminas foliares, estruturas que nem sempre estão presentes ou portando as características diagnósticas. A anatomia pode ser uma ferramenta para subsidiar a taxonomia das gramíneas, para as espécies supracitadas há poucos estudos anatômicos, e estes não apresentam fins taxonômicos. Este trabalho teve como objetivo descrever a estrutura do colmo, quantificar açúcares solúveis, amido, lignina e silício e analisar a organização das paredes celulares dessas espécies nativas, tendo como parâmetro duas cultivares de cana-de-açúcar (RB 86-7515 e SP 79-1011) para auxiliar a implementação de novas estratégias de melhoramento da cultura da cana-de-açúcar. Dentre as espécies, S. villosum é a que apresenta maior distribuição geográfica, sendo que diferentes populações desta espécie podem apresentar alta variabilidade em suas características anatômicas e morfológicas, o que pode dificultar sua identificação. A epiderme foi o tecido que mostrou maior diversidade, populações de S. villosum de uma mesma região podem possuir diferentes tipos de tricomas e proporções distintas de esclerênquima, enquanto populações de regiões distantes podem ser bastante semelhantes. Saccharum asperum possui células comuns longas maiores, enquanto as células silicificadas, espinhos, microtricomas e macrotricomas são menores e significativamente diferentes das demais espécies. Os maiores microtricomas estão presentes em S. angustifolium. É proposta uma nova espécie para o gênero, suas principais diferenças em relação às demais já descritas estão relacionadas a maiores complexos estomáticos, comprimento total e espessura da parede do colmo e comprimento dos 2º e 3º entrenós. Saccharum villosum apresenta a maior quantidade de características desejáveis para melhoria da cultura da cana-de-açúcar, como espessura das paredes secundárias das fibras, baixos teores de amido e lignina insolúvel. _______________________________________________________________________________________ ABSTRACTDue to its prominent position in the global economy, sugarcane culture is constantly studied in breeding programs, we believe that Saccharum native species can be used as germplasm diversity, as in many others cultures it is common the use of uncultivated natives. In Brazil there are three native species of Saccharum (S. angustifolium, S. asperum and S. villosum), but information about them is scarce and identification is based on inflorescence and leaf blades, structures that are not always present or carrying the diagnostic features. The anatomy can be a tool to support the taxonomy of grasses, for the above species there are few anatomical studies, and they didn`t have taxonomic purposes. This study aimed to describe the structure of the stem, quantify soluble sugars, starch, lignin and silicon and analyze the organization of the cell walls of these native species, having as parameter two cultivars of sugarcane (RB 86-7515 and SP 79 -1011) to help to implement new strategies to improve the culture of sugarcane. Among the species, S. villosum is the one with the greatest geographic distribution, and different populations of this species may exhibit high variability in their anatomical and morphological characteristics, which can hinder identification. Epidermis is the tissue that showed greater diversity, populations of S. villosum from the same region may have different types of trichomes and different proportions of sclerenchyma, while populations in distant areas may be quite similar. Saccharum asperum has the largest epidermal long cells while silica cells, prickles, micro and macro-hairs are smaller and significantly different from the other species. The largest micro-hairs are present in S. angustifolium. It is proposed a new species for the genus, its main differences from the others already described are related to higher stomatal complexes, total length, culm wall thickness and length of the 2nd and 3rd internodes. Saccharum villosum has the highest number of desirable features to improve sugarcane culture such as thickness of the secondary wall of the fiber, little starch and insoluble lignin

CARACTERIZAÇÃO DE PACIENTES COM DOENÇA CEREBROVASCULAR: uma avaliação retrospectiva

O presente estudo teve como objetivo descrever características demográficas  e clínicas dos pacientes com doença cerebrovascular e caracterizar os fatores de risco para o desenvolvimento da doença. Trata-se de estudo descritivo , observacional e retrospectivo que fez uma revisão de todos os prontuários médicos dos pacientes com doença cerebrovascular que estiveram internados em um Hospital Universitário em São Luís-Maran hão no período de 1992 a 2010, totalizando 346 pacientes. Os resultados evidenciaram que a maioria dos pacientes com DCV são homens, na faixa etária de 51 a 80 anos. Os principais fatores de risco para o desenvolvimento das DVC são hipertensão arterial, dislipidemias, diabetes, tabagismo e etilismo, independentemente do sexo e faixa etária. Os dados descritos neste estudo serão importantes para despertar um maior interesse para as doenças cerebrovasculares na cidade de São Luís e auxiliar outros pesquisadores desta instituição no planejamento de condutas, implantação de melhorias nos atendimentos e criação de programas e estrat égias de preven ção mais específica. A elabora ção de um protocolo de intervenção clínica para atendimento de pacientes acometidos por doença cerebrovascular foi a contribuição para a equipe.Palavras-chave: Doença cerebrovascular. Prontuários. Fatores de risco.CHARACTERIZATION OF PATIENTS WITH CEREBROVASCULAR DISEASE: a retrospective reviewAbstract: This study aimed to describe demograp hic and clinical characteristics of patients with cerebrovascular disease and characteri ze the risk factors for developing the disease. It is a descriptive , observational and retrospective study that did a review of all medical records of patients with cerebrovascular disease who were admitted to a universit y hospital in São Luís, Maran hão from 1992 to 2010, totaling 346 patients. The results showed that most patients with CVD are men, aged 51-80 years, the main risk factors for the development of CVD were hypertension, dyslipidemia, diabetes, smoking, and alcoholism regardless of gender and age. The data described in this study will be important to awaken a greater interest for cerebrovascular disease in the city of São Luís-MA, and help other researchers at this institution conducts planning, implementing improvements in the care and creation of programs and prevention strategies more specific. The development of a protocol for clinical intervention for treating patients suffering from cerebrovascular disease was the contribution to the team.Keywords: Cerebrovascular disease. Medical Records. Risk factorsCARACTERIZACIÓN DE LOS PACIENTES CON ENFERMEDAD CEREBROVASCULAR: una evaluación retrospectiva Resumen: Este estudio tuvo como objetivo describir las características demográficas y clínicas de los pacientes con enfermedad cerebrovascular y caracteri zar los factores de riesgo para desarrollar la enfermedad. Se trata de un estudio descriptivo , observacional y retrospectivo producto de una revisión de los registros médicos de los pacientes con enfermedad cerebrovascular ingresados en un hospital universitario de São Luís, Maran hão desde 1992 hasta 2010, un total de 346 pacientes. Los resultados mostraron que la mayoría de los pacientes con ECV son hombres, con edades entre 51-80 años. Los principales factores de riesgo para el desarrollo de las enfermedades cerebrovasculares son la hipertensión, la dislipidemia , la diabetes, el tabaquismo, independientemente del sexo y edad. Los datos que se describen  en este estudio serán importantes para despertar un mayor interés para la enfermedad cerebrovascular en la ciudad de São Luis, y ayudar a otros investigadores de esta institución para llevar a cabo la planificación, la implementación de mejoras en el cuidado y la creación de programas y estrategias de prevenci ón más específicas. El desarrollo de un protocolo de intervenci ón clínica para el tratamiento de pacientes que sufren de enfermedad cerebrovascular fue la contribución para el equipo.Palabras clave: Enfermedad Cerebrovascular. Registros Médicos. Factores de Riesgo

Matching pollution with adaptive changes in mangrove plants by multivariate statistics. A case study, Rhizophora mangle from four neotropical mangroves in Brazil

Roots of mangrove trees have an important role in depurating water and sediments by retaining metals that may accumulate in different plant tissues, affecting physiological processes and anatomy. The present study aimed to evaluate adaptive changes in root of Rhizophora mangle in response to different levels of chemical elements (metals/metalloids) in interstitial water and sediments from four neotropical mangroves in Brazil. What sets this study apart from other studies is that we not only investigate adaptive modifications in R. mangle but also changes in environments where this plant grows, evaluating correspondence between physical, chemical and biological issues by a combined set of multivariate statistical methods (pattern recognition). Thus, we looked to match changes in the environment with adaptations in plants. Multivariate statistics highlighted that the lignified periderm and the air gaps are directly related to the environmental contamination. Current results provide new evidences of root anatomical strategies to deal with contaminated environments. Multivariate statistics greatly contributes to extrapolate results from complex data matrixes obtained when analyzing environmental issues, pointing out parameters involved in environmental changes and also evidencing the adaptive response of the exposed biota. © 2014 Elsevier Ltd.Fil: Souza, Iara da Costa. Universidade Federal do São Carlos; BrasilFil: Morozesk, Mariana. Universidade Federal do Espírito Santo; BrasilFil: Duarte, Ian Drumond. Universidade Federal do Espírito Santo; BrasilFil: Bonomo, Marina Marques. Universidade Federal do Espírito Santo; BrasilFil: Rocha, Lívia Dorsch. Universidade Federal do Espírito Santo; BrasilFil: Furlan, Larissa Maria. Universidade Federal do Espírito Santo; BrasilFil: Arrivabene, Hiulana Pereira. Universidade Federal do Espírito Santo; BrasilFil: Monferran, Magdalena Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; ArgentinaFil: Matsumoto, Silvia Tamie. Universidade Federal do Espírito Santo; BrasilFil: Milanez, Camilla Rozindo Dias. Universidade Federal do Espírito Santo; BrasilFil: Wunderlin, Daniel Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Ciencia y Tecnología de Alimentos Córdoba. Universidad Nacional de Córdoba. Facultad de Ciencias Químicas. Instituto de Ciencia y Tecnología de Alimentos Córdoba; ArgentinaFil: Fernandes, Marisa Narciso. Universidade Federal do São Carlos; Brasi

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

Assessment of risk scores to predict mortality of COVID-19 patients admitted to the intensive care unit

ObjectivesTo assess the ABC2-SPH score in predicting COVID-19 in-hospital mortality, during intensive care unit (ICU) admission, and to compare its performance with other scores (SOFA, SAPS-3, NEWS2, 4C Mortality Score, SOARS, CURB-65, modified CHA2DS2-VASc, and a novel severity score).Materials and methodsConsecutive patients (≥ 18 years) with laboratory-confirmed COVID-19 admitted to ICUs of 25 hospitals, located in 17 Brazilian cities, from October 2020 to March 2022, were included. Overall performance of the scores was evaluated using the Brier score. ABC2-SPH was used as the reference score, and comparisons between ABC2-SPH and the other scores were performed by using the Bonferroni method of correction. The primary outcome was in-hospital mortality.ResultsABC2-SPH had an area under the curve of 0.716 (95% CI 0.693–0.738), significantly higher than CURB-65, SOFA, NEWS2, SOARS, and modified CHA2DS2-VASc scores. There was no statistically significant difference between ABC2-SPH and SAPS-3, 4C Mortality Score, and the novel severity score.ConclusionABC2-SPH was superior to other risk scores, but it still did not demonstrate an excellent predictive ability for mortality in critically ill COVID-19 patients. Our results indicate the need to develop a new score, for this subset of patients

Educomunicação e suas áreas de intervenção: Novos paradigmas para o diálogo intercultural

oai:omp.abpeducom.org.br:publicationFormat/1O material aqui divulgado representa, em essência, a contribuição do VII Encontro Brasileiro de Educomunicação ao V Global MIL Week, da UNESCO, ocorrido na ECA/USP, entre 3 e 5 de novembro de 2016. Estamos diante de um conjunto de 104 papers executivos, com uma média de entre 7 e 10 páginas, cada um. Com este rico e abundante material, chegamos ao sétimo e-book publicado pela ABPEducom, em seus seis primeiros anos de existência. A especificidade desta obra é a de trazer as “Áreas de Intervenção” do campo da Educomunicação, colocando-as a serviço de uma meta essencial ao agir educomunicativo: o diálogo intercultural, trabalhado na linha do tema geral do evento internacional: Media and Information Literacy: New Paradigms for Intercultural Dialogue

Updated cardiovascular prevention guideline of the Brazilian Society of Cardiology: 2019

Sem informação113478788

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