https://ri.ufs.br/jspui/handle/riufs/2145 Mon, 06 Apr 2026 13:10:10 GMT 2026-04-06T13:10:10Z https://ri.ufs.br/jspui/handle/riufs/24794 Título: Por uma escuta desobediente: psicanálise e antipsiquiatria em guerra (e em pacto) Autor(es): Guimarães, Silvio Gabriel Linhares Abstract: This dissertation took as its central axis the relationships between psychoanalysis and antipsychiatry, highlighting their specific approximations, disputes, tensions, and circumstantial alliances. Starting from a controversial history in which psychoanalysis influenced and was influenced by psychiatric practices, the research sought to make explicit how this ambivalence opened space, at the same time, for complicities and resistances. Nowadays, this discussion acquires urgency in times of frank psychiatric expansion, when diagnostic identities begin to circulate as rapid explanations for the administration of conduct. The social value of suffering and the moralization it underwent in different phases of the construction of the psy knowledges were also highlighted. In this scenario, antipsychiatry was taken as a critical position toward psychiatric power, the violence perpetrated in the form of treatment, and the asylum logic that becomes established without the need for walls. Finally, possibilities for counter-hegemonic practices were pointed out as forms of demedicalizing practices with which psychoanalysis could ally itself. Tue, 10 Feb 2026 00:00:00 GMT https://ri.ufs.br/jspui/handle/riufs/24794 2026-02-10T00:00:00Z https://ri.ufs.br/jspui/handle/riufs/24793 Título: Convergência de agile e design: um framework integrativo para eficiência, inovação e melhorias contínuas na experiência do usuário Autor(es): Dantas, Silvio Mario Felix Abstract: Agile is a software development framework that focuses on putting the customer first, prioritizing functional projects over comprehensive documentation, valuing active customer participation, and incorporating feedback through incremental deliveries. The goal is to provide a good user experience. However, research points to shortcomings in problem understanding and solution-finding in projects that adopt Agile. Therefore, its application in conjunction with other approaches is recommended to address these deficiencies. In this context, considering design management approaches as complementary methodologies can generate a valuable combination, integrating design, innovation, and technology. This research aims to create a framework model that integrates characteristics of Design Thinking and User-Centered Design, seeking to enhance the agile SCRUM development process. To this end, literature reviews were conducted on the proposed themes, as well as a systematic literature mapping to build the state of the art. A survey was also conducted with leaders, managers, and developers involved in agile development, in addition to analyzing the points of convergence between design management practices and Agile, forming the necessary basis for the conceptual design of the framework. Based on the findings, a data triangulation is proposed to obtain meaningful insights for the development model. Multidisciplinary frameworks provide a broader perspective for problem-solving; the adoption of such practices represents a significant advancement in the creation of software and products with strategic differentiation and a focus on solving feasible user problems. Mon, 28 Jul 2025 00:00:00 GMT https://ri.ufs.br/jspui/handle/riufs/24793 2025-07-28T00:00:00Z https://ri.ufs.br/jspui/handle/riufs/24792 Título: Guidelines para adoção do Event Storming com foco em arquitetura de microsserviços Autor(es): Santos, Marcos Cesar Barbosa dos Abstract: Context: Agile development teams require well-defined requirements to maintain productivity. Event Storming serves as a dynamic technique for producing this type of visual documentation with low formalism and compatible with the microservices architecture. Problem: As it is a relatively recent technique with few rules when compared to more established documentation, such as UML, both agile teams and managers may show resistance in using Event Storming. Solution: As a proof of effectiveness, the construction of guidelines for the adoption of Event Storming during the requirements phase will facilitate both the conduct of the technique by new development teams and will increase the reliability of the entire approach, potentially reducing the resistance faced by development and management teams. Method: With the aim of building knowledge from the design of experimental and evolutionary artifacts, this research is based on the methodology of Design Science Research. Thu, 28 Aug 2025 00:00:00 GMT https://ri.ufs.br/jspui/handle/riufs/24792 2025-08-28T00:00:00Z https://ri.ufs.br/jspui/handle/riufs/24791 Título: A novel approach to use Multi-Armed Bandit for feature selection Autor(es): Monteiro, Keomas da Silva Abstract: This work explores the application of Multi-Armed Bandit (MAB) algorithms for feature selection (FS) in machine learning, aiming to address the challenges posed by high-dimensional data, such as computational complexity and overfitting. While traditional FS methods are widely used, the integration of MAB in this context remains unexplored. This research proposes novel MAB-based algorithms, specifically adapting the Epsilon-greedy (MAB-EgreedyFS) and Upper Confidence Bound (MAB-UCBFS) algorithms, to dynamically manage feature inclusion and exclusion. In this way, the feature set is formed with the aim of providing the best accuracy for the classifier in the classification task. For this, each feature’s status is treated as an "arm" in the bandit problem approach that abstracts the search for the best features as the exploration-exploitation dilemma. During the process a Support Vector Machine (SVM) is applied as the classifier to evaluate the methods. A experimental set was performed, the proposed methods were evaluated in seven dataset and compared against established FS methods: SVM-RFE, extra-trees-based method, genetic algorithm-based method a ANOVA filter method. The results indicate that MAB-UCBFS consistently achieved strong performance, notably ranking as the "Best Method" for most of the evaluated data sets. While not universally superior, MAB-UCBFS demonstrated robust and competitive performance across most scenarios. Statistical analysis using Conover test heatmaps further corroborated these findings, highlighting significant differences between MAB-UCBFS and other techniques on several datasets. This study successfully validates the viability and strong performance of MAB-based algorithms, particularly MAB-UCBFS, as innovative and effective solutions for feature selection. Fri, 29 Aug 2025 00:00:00 GMT https://ri.ufs.br/jspui/handle/riufs/24791 2025-08-29T00:00:00Z