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Artigo
As pautas feministas ameaçam a unidade classista? Uma análise marxista das desigualdades de gênero no capitalismo com foco na conjuntura brasileira
(2023-12) Bulhões, Larissa Figueiredo Salmen Seixlack
The article criticizes the fetish of economic laws that supports the thesis of dual systems, and defends the advancement of the Social Reproduction Theory which explains the inherence of oppression in the shaping of the bourgeois social order. It analyzes the impacts of gender inequalities on the reality of Brazilian working women, on the process of bourgeois subjectivation and on the role of feminist collectives in class organizations. In the correlation between anti-gender offensives and the rise of the extreme right in Brazil, it exposes the centrality of feminist, LGBTQIAPN+ and anti-racist agendas in the anti-capitalist struggle.
Artigo
Artificial intelligence tools and a diagrammatic scale for evaluating the quality of coating in treated soybean seeds
(2023-11-28) Andrade, Dayliane Bernardes de; Carvalho, Everson Reis; Pires, Raquel Maria de Oliveira; Rocha, Debora Kelli; Pereira, Wilson Vicente Souza; Von Pinho, Édila Vilela de Resende
Image analysis combined with artificial intelligence has enabled efficient evaluation of the quality of seed lots during the production process. In the treatment stage, the evaluation of seed coverage is performed by visual analysis, which is considered subjective and of low standard. With the aim of helping producers and those responsible for treatment in classifying the coating of soybean seeds, the objective of this research was to investigate the efficiency of artificial intelligence tools for analyzing the quality of coating of soybean seeds submitted to chemical treatment and develop a diagrammatic scale for the standardization of the evaluation for this characteristic. To obtain the different levels of coating, excellent, good, medium and poor, images were captured and processed using the GroundEye® system, version S800, of samples of industrially treated soybean seeds (TSI) and treated on the farm (on-farm). The quantification of seed coverage was performed by adding the percentages of the red and pink color dominance characteristics detected in the seeds. Subsequently, artificial intelligence tools, classifiers and a decision network were used to help classify the coating quality. From the results obtained and considering the maximum and minimum values of quantification of the coating observed in the image bank obtained from the samples, a diagrammatic scale was established for the visual evaluation of the quantity and quality of the coating of the seeds with the chemical treatment. The use of artificial intelligence tools was efficient for evaluating the quality of soybean seed coatings.
Artigo
Artificial Intelligence text generators for overcoming language barriers in ecological research communication
(2023-08-21) Zenni, Rafael D.; Andrew, Nigel R.
Language barriers can impede the dissemination of research findings, restrict collaboration and exclude non-English-speaking researchers from the global scientific community. To overcome this challenge, we explore the potential of Generative Artificial Intelligence (GenAI) text generators to assist non-anglophone researchers in producing high-quality academic texts for publication in scientific journals, with a focus on the field of ecological research. These tools can produce grammatically correct, coherent and contextually appropriate text, improving scientific communication quality. Improving scientific communication is vital in Ecology, where research findings can have important implications for the environment and public policy. GenAI text generators can generate summaries of research findings, abstracts and social media posts promoting research findings. Nonetheless, researchers must exercise caution and use these tools together with human review and editing to ensure accuracy and clarity. As natural language processing and machine learning continue to evolve, the use of GenAI text generators in scientific communication is poised to become increasingly important.
Artigo
Arte e resistência: possibilidades de divulgação científica e cultural a partir da música Boca da Noite
(2024-01-15) Ticle, Erika Mara Nogueira Santana; Gonçalves, Laise Vieira; Nascimento Júnior, Antônio Fernandes
The present work aims to discuss visions of nature raised from the song Boca da Noite, by Paulo Vanzolini and Toquinho, seeking to understand the potential that it brings us for critical reflection, adding our concerns of studying the sciences and resistance of national culture, with those presented as the motto of the 9th edition of the Science and Culture Dissemination Meeting (EDICC), “Occupy and Resist”. Attentive to the objective reality that forces us to take a critical look at the social standards that surround us and try to shape our existence, alienating us and keeping us submissive to the dominant neoliberal ideology, the music was analyzed in order to answer the following question: what is the vision of nature expressed in the music Boca da Noite and its possibilities for the dissemination of science and culture? The proposed methodological framework had a qualitative nature and the music was analyzed according to the content analysis methodology. Thus, it was possible to find two categories: “Nature and environment – water cycle” and “Man connected to nature”. It was observed that the proposed song had the potential to provoke discussions on subjects related to the study of biology, keeping a critical eye on the vision of nature present in the lyrics, while, at the same time, it has the potential to promote the dissemination of artistic works by relevance for Brazilian popular culture, as a way of (re)occupying the space of music as an artistic expression and (re)existing, or resisting, the cultural standardization movement.
Artigo
Armazenamento de café especial em acondicionamentos com atmosfera artificial
(2023-11-23) Ribeiro, Fabiana Carmanini; Borém, Flávio Meira; Figueiredo, Luísa Pereira; Giomo, Gerson Silva; Malta, Marcelo Ribeiro
The preservation of the quality of coffee depends essentially on the storage conditions, the most important factors being the temperature and the relative humidity of the environment, the water content of the product and the composition of the intergranular air. The study was conducted with the aim of evaluating the physical, chemical and sensory composition of the coffee benefited, classified as special, stored in different types of packaging, for 12 months. The experiment was installed in entirely casualized design, with three repetitions in factorial scheme (5x8), corresponds to five storage times and eight packaging methods. The plastic bag similar to GrainPro® was shown to be gas permeable. Grains packed in jute bags in the conventional warehouse and in a controlled chamber showed an increase and a decrease in the water content, respectively, during storage. Values of electrical conductivity and potassium leaching increased in all packaging methods. The levels of organic acids were maintained in the different packaging methods after 12 months of storage. The coffee beans lose sensory quality, regardless of the method of packaging, after 12 months of storage. The coffee beans packaged in the aluminized packaging with an actively modified atmosphere (10% CO2 injection) showed the smallest oscillation of the notes in the sensoryevaluation, during the storage period. Grains packed in jute bags in the conventional warehouse did not qualify for special coffee after 12 months of storage.