Relato de experiência de um projeto de extensão com universitários/as campesinos/as em tempos de pandemia: formação para pesquisa

ABSTRACT. In view of the pandemic scenario, caused by the new coronavirus (SARS-CoV-2), the Degree in Rural Education at the Federal University of Minas Gerais promoted, through the extension project “Povos do Campo and the COVID-19 Pandemic”, actions aimed at bringing the University closer to the reality of the peasant population. Among the activities promoted, the mini-course “ABNT Standards for Academic Works and Academic Research Tools” was offered, whose main objectives, meeting the needs of students, help graduates, especially those in the process of writing the monograph, to master techniques of academic research, writing, formatting and standardization, as well as making them aware of the importance of academic research for society. The results of the mini-course showed that, even in pandemic times and in the midst of great difficulties in accessing resources, it was possible to promote strategies aimed at the inclusion of peasant peoples and overcoming social inequalities.ABSTRACT. In view of the pandemic scenario, caused by the new coronavirus (SARS-CoV-2), the Degree in Rural Education at the Federal University of Minas Gerais promoted, through the extension project “Povos do Campo and the COVID-19 Pandemic”, actions aimed at bringing the University closer to the reality of the peasant population. Among the activities promoted, the mini-course “ABNT Standards for Academic Works and Academic Research Tools” was offered, whose main objectives, meeting the needs of students, help graduates, especially those in the process of writing the monograph, to master techniques of academic research, writing, formatting and standardization, as well as making them aware of the importance of academic research for society. The results of the mini-course showed that, even in pandemic times and in the midst of great difficulties in accessing resources, it was possible to promote strategies aimed at the inclusion of peasant peoples and overcoming social inequalities.RESUMEN. Ante el escenario de pandemia, provocado por el nuevo coronavirus (SARS-CoV-2), la Licenciatura en Educación Rural de la Universidad Federal de Minas Gerais promovió, a través del proyecto de extensión “Povos do Campo y la Pandemia del COVID-19”, acciones encaminadas a acercar la Universidad a la realidad de la población campesina. Entre las actividades promovidas, se ofreció el minicurso “Estándares ABNT para Trabajos Académicos y Herramientas de Investigación Académica”, cuyos principales objetivos, atendiendo las necesidades de los ‘Lecampinos’, ayudar a los graduados, especialmente a aquellos en proceso de redacción de la monografía, a dominar técnicas de investigación académica, redacción, formato y estandarización, así como concienciarlos sobre la importancia de la investigación académica para la sociedad. Los resultados del minicurso mostraron que, aún en tiempos de pandemia y en medio de grandes dificultades para acceder a los recursos, fue posible impulsar estrategias encaminadas a la inclusión de los pueblos campesinos y la superación de las desigualdades sociales.ABSTRACT. In view of the pandemic scenario, caused by the new coronavirus (SARS-CoV-2), the Degree in Rural Education at the Federal University of Minas Gerais promoted, through the extension project “Povos do Campo and the COVID-19 Pandemic”, actions aimed at bringing the University closer to the reality of the peasant population. Among the activities promoted, the mini-course “ABNT Standards for Academic Works and Academic Research Tools” was offered, whose main objectives, meeting the needs of students, help graduates, especially those in the process of writing the monograph, to master techniques of academic research, writing, formatting and standardization, as well as making them aware of the importance of academic research for society. The results of the mini-course showed that, even in pandemic times and in the midst of great difficulties in accessing resources, it was possible to promote strategies aimed at the inclusion of peasant peoples and overcoming social inequalities.Tendo em vista o cenário pandêmico causado pelo novo coronavírus (SARS-CoV-2), a Licenciatura em Educação do Campo da Universidade Federal de Minas Gerais promoveu, por meio do projeto de extensão “Povos do Campo e a Pandemia da COVID-19”, ações que visavam a aproximação da Universidade com a realidade da população campesina. Dentre as atividades promovidas, foi ofertado o minicurso “Normas da ABNT para Trabalhos Acadêmicos e Ferramentas de Pesquisa Acadêmica” que teve como objetivos principais, atendendo às necessidades dos estudantes da Licenciatura em Educação do Campo (lecampinos e lecampinas), auxiliar aos licenciados, principalmente àqueles em processo de escrita da monografia, a dominarem técnicas de pesquisa, escrita, formatação e normalização acadêmica, bem como conscientizá-los sobre a importância da pesquisa para a sociedade. Os resultados do minicurso evidenciaram que, mesmo em tempos pandêmicos e em meio a grandes dificuldades de acesso a recursos, foi possível promover estratégias que visam à inclusão dos povos campesinos e à superação das desigualdades sociais. Palavras-chave: licenciatura em Educação do Campo, formação de professores, monitoria no Ensino Superior, pandemia.   Experience report on an extension project with rural university students in times of a pandemic: training for research                          ABSTRACT. In view of the pandemic scenario, caused by the new coronavirus (SARS-CoV-2), the Degree in Rural Education at the Federal University of Minas Gerais promoted, through the extension project “Povos do Campo and the COVID-19 Pandemic”, actions aimed at bringing the University closer to the reality of the peasant population. Among the activities promoted, the mini-course “ABNT Standards for Academic Works and Academic Research Tools” was offered, whose main objectives, meeting the needs of students, help graduates, especially those in the process of writing the monograph, to master techniques of academic research, writing, formatting and standardization, as well as making them aware of the importance of academic research for society. The results of the mini-course showed that, even in pandemic times and in the midst of great difficulties in accessing resources, it was possible to promote strategies aimed at the inclusion of peasant peoples and overcoming social inequalities. Keywords: degree in rural education, teacher training, monitoring in higher education, pandemic.   Informe de experiencia sobre un proyecto de extensión con universitarios rurales en tiempos de pandemia: formación para la investigación RESUMEN. Ante el escenario de pandemia, provocado por el nuevo coronavirus (SARS-CoV-2), la Licenciatura en Educación Rural de la Universidad Federal de Minas Gerais promovió, a través del proyecto de extensión “Povos do Campo y la Pandemia del COVID-19”, acciones encaminadas a acercar la Universidad a la realidad de la población campesina. Entre las actividades promovidas, se ofreció el minicurso “Estándares ABNT para Trabajos Académicos y Herramientas de Investigación Académica”, cuyos principales objetivos, atendiendo las necesidades de los ‘Lecampinos’, ayudar a los graduados, especialmente a aquellos en proceso de redacción de la monografía, a dominar técnicas de investigación académica, redacción, formato y estandarización, así como concienciarlos sobre la importancia de la investigación académica para la sociedad. Los resultados del minicurso mostraron que, aún en tiempos de pandemia y en medio de grandes dificultades para acceder a los recursos, fue posible impulsar estrategias encaminadas a la inclusión de los pueblos campesinos y la superación de las desigualdades sociales. Palabras clave: licenciatura en educación rural, formación docente, seguimiento en educación superior, pandemia

Chemical characterization, cytotoxicity, antimicrobial and antioxidant potential of Justicia pectoralis Jacq and Croton jacobinensis Baill extracts

In this research, aqueous and ethanolic extracts from Justicia pectoralis Jacq and Croton Jacobinensis Baill were characterized. The UPLC-QTOF-MSE analysis was performed on the extracts identified, predominantly, flavonoids, tannins and acids. The extracts did not indicate toxicity in human epithelial cells. C. jacobinensis presented a concentration of phenolics 60.5% higher than J. pectoralis in all scenarios evaluated and, for both samples, the hydroalcoholic extract at 70% exhibited the best efficiency in the extraction (14501.3 and 32521.5 mg GAE 100 g-1 for J. pectoralis and C. jacobinensis, respectively). The antioxidant activity presented a positive correlation with the concentration of phenolics, being 1.186,1 and 1.507,9 μM of Trolox for J. pectoralis and C. jacobinensis at 70% of ethanol; however, it was not verified statistical difference between the ethanolic solutions (p < 0.05). The antimicrobial activity of J. pectoralis extracts was highlighted once was the most effective against gram-positive bacteria. The results suggest that both J. pectoralis and C. jacobinensis extracts present the potential to be applied as natural additives due to their antioxidant and antimicrobial activity and safety. Thus, it is suggesting the development of studies that could investigate the interaction of these plant extracts with food matrices is required

Deep neural network-estimated electrocardiographic age as a mortality predictor

The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can be a measure of cardiovascular health. A deep neural network is trained to predict a patient’s age from the 12-lead ECG in the CODE study cohort (n = 1,558,415 patients). On a 15% hold-out split, patients with ECG-age more than 8 years greater than the chronological age have a higher mortality rate (hazard ratio (HR) 1.79, p < 0.001), whereas those with ECG-age more than 8 years smaller, have a lower mortality rate (HR 0.78, p < 0.001). Similar results are obtained in the external cohorts ELSA-Brasil (n = 14,236) and SaMi-Trop (n = 1,631). Moreover, even for apparent normal ECGs, the predicted ECG-age gap from the chronological age remains a statistically significant risk predictor. These results show that the AI-enabled analysis of the ECG can add prognostic information

Reconhecimento de Emoções em Expressões Faciais: Estudo Exploratório Envolvendo Adultos

O presente trabalho relata a realização de um estudo exploratório sobre o reconhecimento de emoções em expressões faciais (REEF) em uma amostra de adultos brasileiros. Participaram do estudo 118 estudantes universitários. Foram utilizados dois instrumentos para a avaliação do reconhecimento de emoções: O DANVA2, um instrumento amplamente utilizado na literatura internacional e um segundo instrumento desenvolvido pelos autores (EREEF). Os participantes completaram ainda escalas para avaliação sintomatologia para depressão e de bem-estar subjetivo e qualidade de interação com os pais. Corroborando estudos anteriores, participantes do sexo feminino apresentaram maior capacidade de reconhecimento de emoções em expressões faciais quando comparados a participantes do sexo masculino. Esses dois grupos não diferiram significativamente em nenhuma das outras medidas estudadas. Não foram identificadas correlações significativas entre as medidas de reconhecimento de emoções e as medidas de sintomatologia para depressão e de bem-estar subjetivo e qualidade de interação com os pais

Um Estudo sobre o Controle por Realimentação de Estado com Alocação de Polos em um Pêndulo Furuta / A Study on Control using State Feedback with Pole Placement in a Furuta Pendulum

Este trabalho apresenta o projeto de um controlador por alocação de polos aplicado aos modelos linear e não linear de um pêndulo invertido rotacional (pêndulo Furuta). O controlador foi projetado a partir do modelo linearizado de um pêndulo invertido rotacional em torno de um ponto de operação e tem por finalidade estabilizar o pêndulo na posição vertical invertida. O controlador projetado foi testado nos modelos linear e não linear do sistema por meio de simulações que consideram três condições iniciais distintas, a fim de verificar a eficiência do controlador nas situações propostas. Os resultados apresentados neste trabalho são promissores e indicam que a estratégia de controle utilizada é uma opção válida para este tipo de aplicação

Tele-electrocardiography and bigdata: the CODE (Clinical Outcomes in Digital Electrocardiography) study

Digital electrocardiographs are now widely available and a large number of digital electrocardiograms (ECGs) have been recorded and stored. The present study describes the development and clinical applications of a large database of such digital ECGs, namely the CODE (Clinical Outcomes in Digital Electrocardiology) study. ECGs obtained by the Telehealth Network of Minas Gerais, Brazil, from 2010 to 17, were organized in a structured database. A hierarchical free-text machine learning algorithm recognized specific ECG diagnoses from cardiologist reports. The Glasgow ECG Analysis Program provided Minnesota Codes and automatic diagnostic statements. The presence of a specific ECG abnormality was considered when both automatic and medical diagnosis were concordant; cases of discordance were decided using heuristisc rules and manual review. The ECG database was linked to the national mortality information system using probabilistic linkage methods. From 2,470,424 ECGs, 1,773,689 patients were identified. After excluding the ECGs with technical problems and patients &lt;16 years-old, 1,558,415 patients were studied. High performance measures were obtained using an end-to-end deep neural network trained to detect 6 types of ECG abnormalities, with F1 scores &gt;80% and specificity &gt;99% in an independent test dataset. We also evaluated the risk of mortality associated with the presence of atrial fibrillation (AF), which showed that AF was a strong predictor of cardiovascular mortality and mortality for all causes, with increased risk in women. In conclusion, a large database that comprises all ECGs performed by a large telehealth network can be useful for further developments in the field of digital electrocardiography, clinical cardiology and cardiovascular epidemiology

Conceptualization, Definition and Assessment of Internal Logistics through Different Approaches Using Artificial Intelligence

The aim of this chapter is to develop a new concept of internal logistics, its components parts and how to evaluate it. To quantify the level of performance of the internal logistics of a company is an important issue to gain competitiveness. There are few papers now at days that analyze how to quantify this issue. In recent years, it has been developed numerous applications of Fuzzy logic and Neural Networks to solve diverse problems of Engineering. Fuzzy logic is a mathematical tool that emulates the method used for humans for managing and processing information and Neural Networks are computing systems inspired by the biological neural networks that constitute human brains. Such systems “learn” to perform tasks by considering examples, generally without being programmed with task-specific rules. This chapter offers a new definition of internal logistics and shows the procedure to evaluate its level in a company. This procedure for assessing the internal logistics was developed through an Excel tab, a fuzzy inference system and a neural network. To validate this procedure, it was applied to 93 companies in the Industrial Pole of Manaus. Results obtained by different approaches are very similar, demonstrating the validity of the procedure developed

Conhecimento de discentes e enfermeiros acerca da política nacional dos direitos LGBT+ / Knowledge of discents and nurses about the national policy on LGBT rights+

Objetivou-se avaliar o conhecimento de discentes e enfermeiros acerca da política nacional dos direitos LGBT+, bem como, realizar educação em saúde como proposta educativa. Trata-se de uma pesquisa descritiva, exploratória com abordagem educativa, realizada em uma Instituição de Ensino Superior (IES) de Sergipe. A amostra foi composta por discentes do curso de graduação em enfermagem e professores enfermeiros do curso. A coleta de dados ocorreu por meio de um instrumento criado pelos pesquisadores logo após a realização do Workshop. O estudo foi aprovado por Comitê de Ética em Pesquisa. Participaram do Workshop 63 sujeitos e apenas 52,38% responderam à pesquisa de opinião. 36,37% demonstrou saber da existência da Política Nacional de Saúde Integral da população LGBT. A maioria (66,66%), ficaram satisfeitos com a abordagem do Workshop e 33,34% citaram sentir a necessidade de alguns assuntos.  78,78% se sentiu melhor preparado para atender aos usuários LGBT+ após a intervenção e 72,72% demonstraram pretensão em multiplicar os conhecimentos adquirido. Ao considerar que o assunto abordado na educação em saúde é de relevância social, sugere-se que novos estudos sejam realizados acerca deste tema com o intuito de apresentar novas informações e dados, contribuindo para que a sociedade tenha um conhecimento maior acerca da temática

Processo de produção de (ALFA)-Hidroxi-Ésteres

Em 13/02/2017: Cumprimento de exigência em 1ª instânciaDepositadaCompostos produzidos através de redução seletiva utilizando enzimas redutases produzidas por microorganismos pertencentes às famílias Saccharomycetaceae e/ou Dothioraceae

Classification of schizophrenic traits in transcriptions of audio spectra from patient literature: artificial intelligence models enhanced by geometric properties

Schizophrenia is a severe mental illness that affects approximately 1% of the global population and presents significant challenges for patients, families, and healthcare professionals. Characterized by symptoms such as delusions, hallucinations, disorganized speech or behavior, and cognitive impairment, this condition has an early onset and chronic trajectory, making it a debilitating challenge. Schizophrenia also imposes a substantial burden on society, exacerbated by the stigma associated with mental disorders. Technological advancements, such as computerized semantic, linguistic, and acoustic analyses, are revolutionizing the understanding and assessment of communication alterations, a significant aspect in various severe mental illnesses. Early and accurate diagnosis is crucial for improving prognosis and implementing appropriate treatments. In this context, the advancement of Artificial Intelligence (AI) has provided new perspectives for the treatment of schizophrenia, with machine learning techniques and natural language processing allowing a more detailed analysis of clinical, neurological, and behavioral data sets. The present article aims to present a proposal for computational models for the identification of schizophrenic traits in texts.&nbsp; The database used in this article was created with 139 excerpts of patients' speeches reported in the book “Memories of My Nervous Disease” by German judge Daniel Paul Schreber, classifying them into three categories: 1 - schizophrenic, 2 - with schizophrenic traits and 3 - without any relation to the disorder. Of these speeches, 104 were used for training the models and the others 35 for validation.Three classification models were implemented using features based on geometric properties of graphs (number of vertices, number of cycles, girth, vertex of maximum degree, maximum clique size) and text entropy. Promising results were observed in the classification, with the Decision Tree-based model [1] achieving 100% accuracy, the KNN- k-Nearest Neighbor model observed with 62.8% accuracy, and the 'centrality-based' model with 59% precision. The high precision rates, observed when geometric properties are incorporated into Artificial Intelligence Models, suggest that the models can be improved to the point of capturing the language deviation traits that are indicative of schizophrenic disorders. In summary, this study paves the way for significant advances in the use of geometric properties in the field of psychiatry, offering a new data-based approach to the understanding and therapy of schizophrenia