INTERDISCIPLINARIDADE DO ESPANHOL COM A DISCIPLINA ASSOCIATIVISMO E COOPERATIVISMO NO CURSO TÉCNICO EM AGROPECUÁRIA INTEGRADO AO ENSINO MÉDIO DO CAMPUS MARABÁ RURAL – IFPA

Este trabalho apresenta informações de uma pesquisa feita durante as aulas de Espanhol para estudantes do Curso Técnico em Agropecuária Integrado ao Médio do Campus Rural de Marabá, semestre 2017-1. A mesma se deu na integração da disciplina da base comum Espanhol com a disciplina da base técnica Associativismo e Cooperativismo, após os professores apresentarem suas propostas de trabalho baseadas nas ementas das disciplinas, visando reforçar o a proposta da Educação do Campo, que prioriza o trabalho com a socialização dos conteúdos e integração de temas do Curso. A metodologia apresenta situações nas quais estudantes desenvolveram atividades diversificadas nas aulas de Espanhol usando apostilas escritas em Espanhol, que também foram trabalhadas na disciplina Associativismo e Cooperativismo. O objetivo deste trabalho foi integrar a disciplina da base comum com a disciplina da base técnica através da compreensão leitora, descrições dos elementos principais presentes nos textos, traduções, deduções e, principalmente o entendimento do tema apresentado, além da exploração dos elementos gramaticais e linguísticos. Essa proposta foi baseada na problemática: como o professor do CRMB pode adequar as ementas do PPC do CTA para trabalhar conforme as falas dos estudantes e integrá-los aos Temas Geradores? A pesquisa se apoia em teóricos como FAZENDA (1999; 2003; 2013), SCALABRIN (2011); MARINHO (2007); BARROS (2013); entre outros colaboradores no processo de ensino-aprendizagem

RECOVERY OF AN OXISOL DEGRADED BY THE CONSTRUCTION OF A HYDROELECTRIC POWER PLANT

ABSTRACT The removal of thick layers of soil under native scrubland (Cerrado) on the right bank of the Paraná River in Selvíria (State of Mato Grosso do Sul, Brazil) for construction of the Ilha Solteira Hydroelectric Power Plant caused environmental damage, affecting the revegetation process of the stripped soil. Over the years, various kinds of land use and management systems have been tried, and the aim of this study was to assess the effects of these attempts to restore the structural quality of the soil. The experiment was conducted considering five treatments and thirty replications. The following treatments were applied: stripped soil without anthropic intervention and total absence of plant cover; stripped soil treated with sewage sludge and planted to eucalyptus and grass a year ago; stripped soil developing natural secondary vegetation (capoeira) since 1969; pastureland since 1978, replacing the native vegetation; and soil under native vegetation (Cerrado). In the 0.00-0.20 m layer, the soil was chemically characterized for each experimental treatment. A 30-point sampling grid was used to assess soil porosity and bulk density, and to assess aggregate stability in terms of mean weight diameter (MWD) and geometric mean diameter (GMD). Aggregate stability was also determined using simulated rainfall. The results show that using sewage sludge incorporated with a rotary hoe improved the chemical fertility of the soil and produced more uniform soil pore size distribution. Leaving the land to develop secondary vegetation or turning it over to pastureland produced an intermediate level of structural soil quality, and these two treatments produced similar results. Stripped soil without anthropic intervention was of the lowest quality, with the lowest values for cation exchange capacity (CEC) and macroporosity, as well as the highest values of soil bulk density and percentage of aggregates with diameter size <0.50 mm, corroborated by its lower organic matter content. However, the percentage of larger aggregates was higher in the native vegetation treatment, which boosted MWD and GMD values. Therefore, assessment of some land use and management systems show that even decades after their implementation to mitigate the degenerative effects resulting from the installation of the Hydroelectric Plant, more efficient approaches are still required to recover the structural quality of the soil

Composição centesimal do fruto, extrato concentrado e da farinha da uva-do-japão Chemical composition of fruit, concentrated extract and flour from "Japanese grape"

A Hovenia dulcis, mais conhecida como uva-do-japão, pertence à família Rhamnaceae, é natural da China, Japão e Coréia, sendo largamente difundida no sul do Brasil. Rica em açúcares e bem aceita para consumo humano, pode ser consumida in natura ou processada. Não há na literatura relatos de seu aproveitamento em produtos alimentícios. O presente trabalho teve por objetivo determinar a composição centesimal do fruto, do extrato concentrado e da farinha. Foram obtidos teores em torno de 54,08, 52,44 e 19,08g 100g-1 para umidade; 2,16, 4,09 e 4,48g 100g-1 para cinzas; 3,74, 2,77 e 5,73g 100g-1 para proteína bruta; 1,42, 0,37 e 1,82g 100g-1 para extrato etéreo; 12,56, 3,33 e 25,62g 100g-1 para fibra alimentar; 19,46, 37,34 e 42,53g 100g-1 para açúcares totais, além do valor calórico de 105,56, 165,14 e 216,09kcal 100g-1, respectivamente, em fruto, extrato concentrado e farinha. A quantificação por cromatografia líquida confirmou o conteúdo dos açúcares redutores (frutose, 6,15g 100g-1 e glicose, 6,57g 100g-1) superior ao teor de açúcares não redutores no fruto (sacarose, 3,56g 100g-1). A farinha é rica em açúcares e possui elevado teor de fibra alimentar, podendo ser utilizada como um ingrediente alternativo em produtos de panificação. Em termos sensoriais, o extrato concentrado obteve um índice de aceitabilidade de 82% entre os julgadores, apresentando bom potencial para elaboração de geleias.<br>Hovenia dulcis, whose popular name is Japanese grape, belongs to the family Rhamnaceae, native of China, Japan and Korea, is widely distributed in southern Brazil. Rich in sugar and with good acceptance for human consumption it can be consumed fresh or processed. There are no literature reports of its use in food products. The aim of this study was to determine the chemical composition of the Japanese grape fruit, concentrated extract and flour. The contents for moisture (54.08, 52.44 e 19.08g 100g-1), ash (2.16, 4.09 e 4.48g 100g-1), protein (3.74, 2.77 e 5.73g 100g-1), ethereal extract (1.42, 0.37 e 1.82g 100g-1), dietary fiber (12.56, 3.33 and 25.62g 100g-1) and total sugars (19.46, 37.34 and 42.53g 100g-1) were obtained for the fruit, concentrated extract and flour, respectively. Quantification by liquid chromatography confirmed that the content of reducing sugars (fructose, 6.15g 100g-1 and glucose, 6.57g 100g-1) is higher than the non-reducing sugars content in fruit (sucrose, 3.56g 100g-1). Calories resulted in values of 105.56, 165.14 and 216.09kcal 100g-1 for fruit, concentrated extract and flour, respectively. The flour is rich in sugars and has a high content of dietary fiber being able to be used as an alternative ingredient in bakery products. Sensory analysis of the concentrated extract revealed an acceptability rate of 82% among the judges, showing good potential for jams' production

Em busca de um horizonte : narrativas sobre educação, artes e resistência

"APRESENTAÇÃO - Os textos reunidos no livro Em busca de um Horizonte: narrativas sobre educação, arte e resistência foram inspirados nos debates realizados durante o evento VI Simpósio Internacional Horizontes Humanos, que aconteceu na Faculdade de Educação da Universidade de Brasília, em 2018. O livro está dividido em quatro partes: Resistências cotidianas para além da utopia, Demasiado humano: as diferentes linguagens artísticas e culturais, A educação como um horizonte, Educação ambiental e ancestralidade: para continuar caminhando. Apesar da divisão em seções (sempre arbitrária), as produções - bastante diversas nas temáticas, metodologias e referenciais teóricos adotados – compartilham um alinhamento ao adotar um posicionamento político em defesa da diversidade, dos direitos humanos, da ancestralidade, do meio ambiente, da educação com valores democráticos, dos saberes populares e das diferentes linguagens artísticas. Assim, o livro se apresenta como um convite à resistência em tempos atrozes. Os organizadores

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved

At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods

By September 2022, more than 600 million cases of SARS-CoV-2 infection have been reported globally, resulting in over 6.5 million deaths. COVID-19 mortality risk estimators are often, however, developed with small unrepresentative samples and with methodological limitations. It is highly important to develop predictive tools for pulmonary embolism (PE) in COVID-19 patients as one of the most severe preventable complications of COVID-19. Early recognition can help provide life-saving targeted anti-coagulation therapy right at admission. Using a dataset of more than 800,000 COVID-19 patients from an international cohort, we propose a cost-sensitive gradient-boosted machine learning model that predicts occurrence of PE and death at admission. Logistic regression, Cox proportional hazards models, and Shapley values were used to identify key predictors for PE and death. Our prediction model had a test AUROC of 75.9% and 74.2%, and sensitivities of 67.5% and 72.7% for PE and all-cause mortality respectively on a highly diverse and held-out test set. The PE prediction model was also evaluated on patients in UK and Spain separately with test results of 74.5% AUROC, 63.5% sensitivity and 78.9% AUROC, 95.7% sensitivity. Age, sex, region of admission, comorbidities (chronic cardiac and pulmonary disease, dementia, diabetes, hypertension, cancer, obesity, smoking), and symptoms (any, confusion, chest pain, fatigue, headache, fever, muscle or joint pain, shortness of breath) were the most important clinical predictors at admission. Age, overall presence of symptoms, shortness of breath, and hypertension were found to be key predictors for PE using our extreme gradient boosted model. This analysis based on the, until now, largest global dataset for this set of problems can inform hospital prioritisation policy and guide long term clinical research and decision-making for COVID-19 patients globally. Our machine learning model developed from an international cohort can serve to better regulate hospital risk prioritisation of at-risk patients

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use