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O Livro de Jó na literarura brasileira: reflexões sobre resas do Diabo de Wenceslau de Queiroz
(Universidade Federal de São Carlos, 2025-09-15) Santos, Petronio Matias dos; Rodrigues, Raquel Terezinha; https://lattes.cnpq.br/2468134516070432; https://lattes.cnpq.br/5221190118638342; Ferreira, Carla Alexandra; Gomes, Izaquiel Mateus Macedo; https://lattes.cnpq.br/5522506928191940; https://lattes.cnpq.br/7087622691252971
This dissertation presents a critical reading of Rezas do Diabo (1939), by Wenceslau de Queiroz (1863–1921), by articulating elements of Brazilian Symbolism, the decadentist tradition, and literary Satanism, while also examining the critical reception of the text. It is based on the hypothesis that Rezas do Diabo represents a kind of rewriting of the Book of Job from the biblical tradition, inverting its spiritual logic and producing a “bible in reverse.” The main objective of this study is to recover and critically analyze Queiroz’s poetic work, placing it within the context of Brazilian Symbolist literature and investigating its critical reception over time. To this end, the research outlines a historical and conceptual panorama of Symbolism, from its origins in France—with authors such as Charles Baudelaire and the philosophical influences of Schopenhauer, Swedenborg, and Eduard von Hartmann—to its reception in Brazil. The study discusses how Symbolism incorporated elements of religious mysticism and Satanism as forms of critique against modern rationality, scientism, and bourgeois morality. Brazilian authors such as Cruz e Sousa, Alphonsus de Guimaraens, and Augusto dos Anjos are also highlighted throughout the analysis. As the study advances toward the work of Wenceslau de Queiroz, it seeks to recover biographical aspects, forgotten works, and pseudonyms used by the author, as well as his role as critic, professor, and writer. Focusing especially on Rezas do Diabo, the dissertation proposes a revaluation of the work through a critical reading that highlights its originality and aesthetic boldness. Ultimately, it aims to demonstrate how the book dialogues with the Faustian myth and subverts the traditional biblical narrative, employing resources such as synesthesia, allegory, and the grotesque to construct a provocative poetics. The final aim is to reaffirm Wenceslau de Queiroz’s relevance in Brazilian literature, positioning his work as an example of aesthetic resistance and questioning of religious, moral, and literary conventions.
Avaliação do impacto da forma, textura e campo receptivo na segmentação de vasos sanguíneos
(Universidade Federal de São Carlos, 2025-09-15) Silva, Weslley dos Santos; Comin, Cesar Henrique; https://lattes.cnpq.br/9563440403120931; https://orcid.org/0000-0003-1207-4982; https://lattes.cnpq.br/9350913025137253; Levada, Alexandre Luis Magalhães; Saqui, Diego; https://lattes.cnpq.br/3341441596395463; https://lattes.cnpq.br/4408364907687419; https://orcid.org/0000-0001-8253-2729; https://orcid.org/0000-0002-9927-7063
Blood vessel segmentation in medical images is a crucial step for the diagnosis of a wide range of pathologies, but it presents unique challenges due to the complexity and variability of the structures involved. Moreover, the lack of interpretability of Convolutional Neural Networks (CNNs) represents a significant barrier to clinical adoption, as it complicates model debugging, limits design improvements, and can reduce diagnostic confidence. In this study, we conducted systematic experiments to separately evaluate the contributions of shape, texture, and receptive field to the performance of CNNs in blood vessel segmentation. First, to assess the role of texture and pixel intensity, these features were selectively removed from image patches using pixel shuffling and normalization. Next, to isolate the influence of shape, segmentation models were trained using only the vessels’ outer contours or centerlines as input, thereby removing internal texture information. Finally, we investigated the amount of context required for robust segmentation by systematically varying the network’s theoretical receptive field. We found that, although pixel intensity is more relevant than vessel texture, CNNs can still maintain high performance even in the absence of both features. In addition, the networks are not able to easily extrapolate the full vessel shape when provided only with contours or centerlines as input. Finally, we observed that the effective receptive field used by the networks is approximately 20 pixels in the datasets employed, although global information can lead to a slight improvement in accuracy for fundus images.