Browsing by Issue Date, starting with "2025-12-01"
Now showing 1 - 20 of 1124
- Results Per Page
- Sort Options
Item type:Item, Analise preditiva dos spreads de crédito no mercado de debêntures do IDEX-CDI JGP por meio de machine learning(Universidade Federal de São Carlos, 2025-12-01) ;Albuqerque, Gabriel de ;Cardoso, Claudio Antoniohttps://lattes.cnpq.br/0332061570052918The Brazilian private credit market has gained increasing relevance as an alternative source of corporate financing, driven by the rise in debenture issuances and the growing role of fixed income investment funds. In this context, understanding the dynamics of credit spreads and their relationship with net fund flows becomes essential for portfolio management. This study analyzes this relationship using the Idex–CDI JGP, a representative index of liquid debentures indexed to the CDI, as a benchmark for measuring spread behavior. The methodology combines econometric and machine learning techniques, beginning with a correlation analysis between spreads and net fund flows using different lags and deseasonalized series. A moderate negative short-term correlation was observed, consistent with higher risk aversion, but it strengthens significantly after deseasonalization, reaching a Pearson coefficient above 0.82 at around a ten-month lag. The Weighted Least Squares (WLS) model delivered an excellent fit, with an R² above 0.90, and showed that the lagged spread is a strong determinant of net fund flows. To forecast the spreads, both univariate models (spread only) and multivariate models (spread and net fund flows) were tested within a three-stage pipeline: an autoregressive model with Elastic Net, a correction step, and a final horizon-based forecasting stage using the HistGradientBoostingRegressor, along with Spearman selection, clipping, and calibration. The univariate model performed strongly in the very short term but lost accuracy over longer horizons. The incorporation of flow-related variables produced limited gains at short horizons, but it improved predictive accuracy over longer forecasting windows, indicating that net fund flows contribute to identifying different phases of the credit cycle.Item type:Item, Análise do impacto ambiental ocasionado pelo acionamento do sinal sonoro do trem nas passagens de nível em área urbana(Universidade Federal de São Carlos, 2025-12-01) ;Farias, Cátia Araujo ;Oliveira, Celso Maran de ;Bourscheidt, Vandoir ;https://lattes.cnpq.br/7118826005431208https://lattes.cnpq.br/9911833172043700Objetivo - Analisar os impactos ambientais (1ª e 2ª ordens) do acionamento da buzina de trem em passagens de nível urbanas sobre a qualidade de vida e saúde dos moradores. Metodologia - Questionário online aplicado pelo Ministério Público (1.147 respondentes), tratamento em Excel com geocodificação residencial e elaboração de mapas temáticos no ArcGIS Pro. Originalidade/relevância - Preenche lacuna sobre ruído ferroviário noturno em contextos urbanos brasileiros, relevante para políticas de mitigação sonora e saúde pública. Resultados - 72% acordam com buzina (22h-6h); 62% com insônia; impactos incluem estresse, irritabilidade e redução de qualidade de vida, concentrados em áreas adjacentes à via. Contribuições teóricas/metodológicas - Valida matriz de impactos de 1ª/2ª ordens (Sánchez, 2013) com abordagem geoespacial para ruído urbano. Contribuições sociais e ambientais - Propõe medidas mitigadoras (barreiras acústicas, treinamento de condutores), promovendo sossego público e qualidade ambiental urbana.Item type:Item, Processo de regularização e aquisição do título definitivo da terra em assentamento de reforma agrária(Universidade Federal de São Carlos, 2025-12-01) ;Pereira, Bárbara Shaitch Silva ;Pimentel, Andréa Eloisa Bueno ;https://lattes.cnpq.br/9330438553830026 ;https://orcid.org/0000-0001-5915-925Xhttps://lattes.cnpq.br/4342161372691065This paper examines the process of land regularization and the acquisition of definitive land title within the scope of Agrarian Reform in Brazil, emphasizing its historical, legal and institutional foundations. The research, of a qualitative nature, is based on a bibliographic and documentary review, with the objective of analyzing the stages that make up the settlement policy, as well as the challenges faced by the beneficiary families from the initial occupation to the titling of the lot. The investigation shows that the Brazilian land structure remains marked by the historical concentration of land, and that the consolidation of settlements depends on complex procedures, such as georeferencing, cadastral updating and compliance with the normative requirements of the National Institute of Colonization and Agrarian Reform (INCRA). The results indicate that the titling represents a fundamental milestone for the guarantee of legal certainty, for the strengthening of family farming and for access to public policies essential to rural development. In addition, it is highlighted that the path to the definitive title is permeated by administrative obstacles, structural limitations and historical inequalities, which reaffirms the need for continuous improvement of public policies for Agrarian Reform in the country.Item type:Item, Incremento de biomassa e carbono de espécies arbóreas usadas na restauração da Mata Atlântica(Universidade Federal de São Carlos, 2025-12-01) ;José, Aline Hipananiro Apolinário ;Viani, Ricardo Augusto Gorne ;https://lattes.cnpq.br/3250752369062840BaniwaClimate change mitigation requires not only reducing emissions but also strengthening carbon sinks through strategies such as ecological restoration. In Brazil, the Atlantic Forest remains highly fragmented, with mature remnants restricted to a small portion of the biome’s legally defined area, reinforcing the importance of conservation and restoration efforts. This study quantified biomass and carbon stocks and their increments for tree species in an Atlantic Forest restoration area four years (53 months) after establishment, using allometric equations suitable for young forests within the biome. Diameter at 30 cm above ground and total height were measured, and biomass was estimated by species; carbon was derived from biomass. The system reached a mean biomass stock of 51.3 Mg ha⁻¹ and a mean carbon stock of 25.6 Mg C ha⁻¹, resulting in a mean annual carbon increment of 5.8 Mg C ha⁻¹ year⁻¹. Species-level variation was observed, with a wide range of individual biomass and annual carbon increments, indicating differences in early performance and contribution to short-term carbon gains during the initial years of restoration. Guazuma ulmifolia showed the highest biomass and carbon stock and increment due to its rapid growth, being recommended for carbon capture in young restoration areas, whereas Cariniana legalis presented the lowest values. The results contribute to future restoration actions, particularly those focused on carbon sequestration.Item type:Item, Distribuição da floresta urbana e sua relação com índices socioeconômicos no município de Araras (SP)(Universidade Federal de São Carlos, 2025-12-01) ;Fonzar, Camila Santos ;Lima, Marcos Vinícius da Silva Alves de ;https://lattes.cnpq.br/1846113572614788 ;Viani, Ricardo Augusto Gornehttps://lattes.cnpq.br/3250752369062840The implementation of urban forests in Brazil was intensified from the 1930s, driven by public policies aimed at modernizing urban centers. However, medium and small Brazilian cities, in particular, still show an unequal distribution of this component, with tree cover concentrated in central and higher-income areas. In this context, this research aimed to evaluate the urban forest of the city of Araras (SP), relating the distribution of the tree component to socioeconomic indicators. The methodology employed a quantitative and spatial approach, analyzing urban census tracts using IBGE data and the UrbVerde platform to calculate accessibility, with the 3/30/300 rule as a background. The statistical analysis sought to correlate compliance with the rule’s components with average income and the proportion of children and elderly in each sector. The results indicate that the municipality’s performance regarding the rule is heterogeneous. The accessibility criterion, the “300” component, had the highest adherence, reaching 32% of the evaluated sectors. Next was the visibility criterion, with 13% adherence, and finally, the tree cover criterion, which had the lowest adherence rate at only 9%. The combined analysis showed that no census tract fully meets all three components. The analysis revealed a positive and significant correlation between income and tree cover, the “30” component, indicating that lower-income areas are less wooded. In contrast, no statistically significant correlations were observed between income and the other components of the rule. Demographic analyses indicated that sectors with a higher proportion of elderly residents had a lower perception of tree cover in their surroundings (component “3”), while sectors with a higher proportion of children tended to be farther from public green areas, revealing specific environmental vulnerabilities for each group. It is concluded that the 3/30/300 rule proved to be an effective diagnostic tool for identifying green infrastructure deficits and guiding urban public policies that promote socio-environmental justice and climate resilience in medium-sized cities.Item type:Item, Diagnóstico da atuação do Ministério Público do Estado de São Paulo em São José do Rio Pardo a partir de conflitos ambientais institucionalizados(Universidade Federal de São Carlos, 2025-12-01) ;Sousa, Isabel Cristina Nunes de ;Sousa, Maria Carolina Chaves de ;Oliveira, Celso Maran de ;https://lattes.cnpq.br/8572329722251988https://lattes.cnpq.br/0164488794718542Objetivo – Neste estudo são analisados os dados dos procedimentos ambientais instaurados e conduzidos pela Promotoria de Justiça de São José do Rio Pardo, vinculada ao Ministério Público do Estado de São Paulo (MPSP), no período de 2016 a 2023. O objetivo é contribuir para um diagnóstico da atuação do MPSP no município, a partir da análise dos conflitos ambientais institucionalizados, destacando as principais questões ambientais enfrentadas. Metodologia – Trata-se de uma pesquisa exploratória e descritiva, embasada em uma revisão bibliográfica e na análise de documentos fornecidos pela Promotoria de São José do Rio Pardo. Originalidade/relevância – A importância deste estudo é evidenciada pelo fato de que, em 2021, o MPSP em São José do Rio Pardo foi identificado como um dos agentes propensos a facilitar a promoção de instrumentos de democracia participativa em procedimentos ambientais da instituição. Resultados – Durante o período, o MPSP instaurou 127 procedimentos, dos quais 55 foram Inquéritos Civis (ICs), Ações Civis Públicas (ACPs) ou Procedimentos Administrativos de Acompanhamento (PAAs). A maior parte desses procedimentos relaciona-se à área de Habitação e Urbanismo, com destaque para a categoria “Ordenamento Urbano e Patrimônio Cultural”. Contribuições teóricas/metodológicas - A necessidade de analisar a distribuição das perturbações no ambiente é fundamental para o planejamento de políticas públicas ambientais. Essa análise permite a elaboração de diagnósticos baseados em dados empíricos, contribuindo assim para a formulação de estratégias mais eficientes e eficazes.Contribuições sociais e ambientais – Esses resultados oferecem uma visão abrangente da atuação do MPSP em São José do Rio Pardo, podendo contribuir para o envolvimento do poder público e da sociedade nas discussões voltadas à elaboração e/ou aprimoramento de políticas públicas.Item type:Item, Ajuste de modelos de Cox e de florestas aleatórias em análise de sobrevivência(Universidade Federal de São Carlos, 2025-12-01) ;Melo, Mathews Siqueira ;Martins Dias, Teresa Cristina ;http://lattes.cnpq.br/0187724276640668http://lattes.cnpq.br/1753543115560585This final course project explores the application and comparison of classical statistical methods and machine learning in the context of survival analysis. A detailed theoretical review of the fundamentals of time-to-event data analysis was conducted, addressing concepts such as censoring, survival and hazard functions, the non-parametric Kaplan-Meier estimator, and the Cox semiparametric proportional hazards model. In parallel, the principles of machine learning were studied, focusing on the structure of decision trees and the robustness of ensemble methods, such as random forests. To evaluate the performance of the models, consolidated metrics were used, including the C-index for discrimination, the Brier score for probabilistic accuracy, and metrics derived from the confusion matrix, such as accuracy, sensitivity, and specificity. The practical application of the methodologies was carried out through two case studies: the first, with real data from a clinical study, illustrated the workflow for the adjustment and validation of a Cox model; A second experiment, using simulated data, allowed for a direct comparison of the predictive performance between an optimized decision tree and a random forest in a controlled scenario. The results highlight the contrast between the interpretability of classical models and the predictive performance of machine learning models, discussing the scenarios in which each approach may be more advantageous.Item type:Item, Questões linguísticas no ensino fundamental ii na Guiné-Bissau: entrevistas com agentes educacionais(Universidade Federal de São Carlos, 2025-12-01) ;Balde, Maimuna ;Martins, Maria Sílvia Cintra ;http://lattes.cnpq.br/9241992645160356 ;https://lattes.cnpq.br/1299711560330474Viana, NelsonThis work aims to understand the perceptions of educational agents regarding linguistic issues in primary education in Guinea-Bissau. Given that the country is considered multilingual, children are taught in Portuguese in school environments, although for most of them, this is not their first language. The methodology of this work is qualitative and quantitative, through a bibliographic and ethnographic approach based on the theories of Cabral (1976), Almeida Filho (2005), Couto and Embaló (2010). In addition, we conducted interviews with teachers and principals from two schools. The hypothesis of this work contextualizes the challenges in the process of learning the Portuguese language in primary education in Guinea-Bissau, which negatively impact the learning of content by Guinean students. We started from the assumption that it would be necessary to readapt the method applied in elementary school II (basic education) in relation to the Portuguese language, in order to establish mechanisms that bring students closer to the content, starting with the inclusion of Guinean alongside Portuguese. Regarding the analysis of research data generated with the teaching staff, it is pointed out that the Portuguese language generates enormous challenges for students, including some teachers, since a significant portion of the teachers themselves claim to have greater command of Guinean, even those with a degree in Letters/Portuguese Language. However, despite showing greater linguistic fluency in Guinean, they argue that it is necessary to learn the Portuguese language because it is the official language of the State, justifying that, based on this premise of official status, all citizens have the right to learn it. We understand that, to minimize the linguistic challenges for teachers and students, and also to advance the learning process of languages of various statuses, each with its role in the lives of citizens, it is important to balance both in teaching (Portuguese and Guinean). Therefore, we conclude that there is a huge need for the government to implement bilingual education, considering the linguistic context of the countryItem type:Item, Eficácia de diferentes aplicativos para smartphones na identificação de espécies de árvores nativas usadas na restauração da Mata Atlântica(Universidade Federal de São Carlos, 2025-12-01) ;Fernandes, Gabriel Henrique de Aguilar ;Viani, Ricardo Augusto Gornehttps://lattes.cnpq.br/3250752369062840Botanical identification is extremely important in various stages of ecological restoration, whether in complying with legal requirements, ecological monitoring, or ensuring the success of restoration actions. Many methods are available for this purpose, and more recently, the use of artificial intelligence (AI) in species recognition has become prominent, such as in smartphone applications. This study evaluated the effectiveness of the PlantNet, iNaturalist, and Google Lens applications in identifying native tree species used in Atlantic Forest restoration. Leaves, flowers, and fruits were photographed and submitted to the applications under standardized conditions. The results indicated better performance by iNaturalist, followed by PlantNet, both with high accuracy rates on the first suggestion and low error rates, while Google Lens showed lower reliability, with a high frequency of incorrect suggestions. Greater accuracy was observed when using images of flowers, although this condition is not always available. The use of artificial backgrounds in the photographs decreased accuracy. In conclusion, although specialized applications represent promising tools to support identification activities in ecological restoration, their isolated use does not replace botanical knowledge, and validation of the suggestions is necessary to avoid errors that could compromise properly identification of restoration stages.Item type:Item, Atividade fotocatalítica das heteroestruturas de g-C3N4:NB2O5 na degradação de fármacos(Universidade Federal de São Carlos, 2025-12-01) ;Silva, Júlia Duarte Praxedes ;Souza, Ernesto Chaves Pereira de ;https://lattes.cnpq.br/1505400360366643 ;https://orcid.org/0000-0003-1058-302XIn recent years, the frequent detection of emerging contaminants in aquatic matrices has raised concerns, as these substances are difficult to remove and may pose various risks to human health and aquatic life, since there is no effective control over them. These pollutants belong to different classes, such as industrial residues, personal care products, and chemical compounds, with pharmaceuticals standing out—such as fluoxetine (FLX), an antidepressant used worldwide—which has been detected in water and wastewater treatment plants. These facilities were not designed for the efficient removal of such compounds, resulting in their persistence in water even after conventional treatments.Thus, the development of techniques for the removal of these contaminants has become necessary, and Advanced Oxidation Processes (AOPs) are an example. This is a sustainable and effective method for removing these substances, as hotocatalysis generates free radicals, such as hydroxyl radicals (•OH), which promote the degradation of pollutants, transforming them into less toxic and simpler species, such as carbon dioxide, water, or other easily removable compounds. The development of photocatalysts using low-cost materials and visible radiation is a way to make this technique more accessible and promising. Therefore, the objective of this work was to evaluate, through the literature, the degradation of FLX by heterogeneous photocatalysis using a heterostructure of carbon nitride (g-C₃N₄) and niobium pentoxide (Nb₂O₅), which can be synthesized by a microwave-assisted hydrothermal method, with both materials being abundant and low-cost. The results obtained from the studies reviewed in the literature showed that the method was efficient for the degradation of the pharmaceutical and, consequently, for its removal from wastewater, indicating the possibility of application in the treatment of effluents contaminated with medications. In view of this, the importance of monitoring emerging contaminants and their effects is evident, as well as the need for environmental remediation alternatives aimed at preserving the environment.Item type:Item, Unlocking rapid electrocoagulation: performance of 3D porous aluminum electrodes for industrial textile wastewater treatment(Universidade Federal de São Carlos, 2025-12-01) ;Sgarbi, Ricardo ;Ruotolo, Luis Augusto Martins ;https://lattes.cnpq.br/2388966785886132https://lattes.cnpq.br/6167735734348703In this work, a novel designed electrocoagulation (EC) reactor utilizing three-dimensional (3D) aluminum electrodes was investigated for industrial textile wastewater treatment. Statistical analysis revealed that operational parameters (current density, coagulation time, and flow rate) had a greater influence on process performance than wastewater properties (pH and conductivity), avoiding the need for chemical inputs. Optimal performance was achieved with shortest coagulation time, promoted by dual features: (i) a balanced combination of flotation and sedimentation for pollutant removal, and (ii) sufficient aluminum coagulant release and mixing turbulence promoted by the operational conditions. Thus, the operation achieved high removal efficiencies, 90 % for turbidity, 89 % for total organic carbon (TOC), and 69 % for color, within just 4 min, coupled with a low energy demand of ca. 1.1 kWh m−3. Furthermore, in-situ electrochemical potential profiling across the 3D Al electrode thickness confirmed the existence of a region between the cathode and anode that enhances collisions between released aluminum coagulant and pollutants, thus promoting floc formation and posterior segregation via sedimentation and flotation.Item type:Item, Ações coletivas ambientais e participação popular: um estudo de caso na região administrativa de Barretos/SP(Universidade Federal de São Carlos, 2025-12-01) ;Ribeiro, Elen Pessoa de Queiroz ;Oliveira, Celso Maran de ;Amarante Junior, Ozelito Possidonio de ;https://lattes.cnpq.br/9911833172043700https://lattes.cnpq.br/1314612121213589Este trabalho examina a evolução e efetividade das ações coletivas (ACPs, ações populares) no Brasil, destacando sua aplicação em matéria ambiental. Discute competências, legitimidade ativa (MP, associações, cidadãos) e desafios como prescrição coletiva e execução. Propõe melhorias para maior eficiência judicial, alinhando à expertise em direito ambiental da UFSCar.Item type:Item, Probabilidade em alta dimensão com aplicações em ciência de dados(Universidade Federal de São Carlos, 2025-12-01) ;Giacomini, Felipe Luis ;Ramos, Thiago Rodrigo ;https://lattes.cnpq.br/1634196230063965https://lattes.cnpq.br/0923225076571076With the advancement of machine learning, new challenges have arisen in the creation and analysis of efficient predictive algorithms. One of the main obstacles is the curse of dimensionality, in which the increase in the number of variables compromises the performance of usual models. This loss of predictive power arises from the behavior of random variables in high dimensions, a phenomenon that can be explained through results from probability and statistical learning theory. In this work, we present and demonstrate these foundations, highlighting the central role of measure concentration in their deductions. To make understanding more intuitive, we perform simulations that illustrate these concepts. Finally, we discuss how this theory can support methods capable of mitigating the challenges imposed by high dimensionality.Item type:Item, Mapeamento da produção acadêmica sobre analogia no ensino de química (2011-2021)(Universidade Federal de São Carlos, 2025-12) ;Santos, Mariana Ferreira dos ;Rosa, José Víctor Acioli da ;Souza, Gahelyka Aghta Pantano ;https://lattes.cnpq.br/5717478112353570https://lattes.cnpq.br/9400201255687070Este estudo faz parte de uma pesquisa maior, desenvolvida a nível de mestrado. Cujo objetivo foi o de explorar a produção acadêmica (teses e dissertações) sobre o uso de análogias no ensino de química, abrangendo o período de 2011 a 2021. Compreende-se as analogias como recursospedagógicosna Educação em Ciências, especialmente no ensino de Química. Com abordagem metodológica de uma pesquisa qualitativa do tipo revisão sistemática, apesquisa analisa teses e dissertações produzidas entre 2011 e 2021, destacando a importância das analogias na construção de modelos científicos e na promoção da criatividade entre os pesquisadores. Baseando-se nos trabalhos de Mozzer e Justi, bem como de Curtis e Reigeluth, o estudo reitera que o raciocínio analógico é essencial para a compreensão dos conceitos científicos e está intrinsecamente ligado às diversas teorias científicas. As representações analógicas são importantesdesde a antiguidade, facilitando a interação e a compreensão dos conceitos a serem ensinados.Item type:Item, Seleção de melhor desempenho de genótipos de brócolis ramoso roxo em condições tropicais(Universidade Federal de São Carlos, 2025-12-01) ;Pereira, Nara Rubia ;Sala, Fernando Césarhttps://lattes.cnpq.br/6771975466075202The main objective of this study was to evaluate the agronomic characteristics of purple sprouting broccoli lines (Brassica oleracea var. italica), aiming to identify materials with better adaptation to tropical conditions and potential for use in genetic breeding programs focused on developing tropicalized cultivars. The experiment was conducted at the Center for Agrarian Sciences of the Federal University of São Carlos (UFSCar) – Araras Campus, using a randomized block design with ten genotypes, plus the commercial hybrid ‘Seattle’ and the cultivar ‘Piracicaba Precoce’ as controls. The parameters evaluated included inflorescence coloration, bead size, total fresh mass, average number of inflorescences, and the length and diameter of primary and secondary inflorescences. Data were analyzed using the Scott-Knott test at 5% significance. ‘Seattle’ presented the highest yield in total fresh mass (0.675 kg\plant) and number of inflorescences (21.3), while lines 204-21 and 7101/10 demonstrated fine bead size, good purple coloration, and productive performance with statistically similar values—characteristics of great interest for the market and for crosses in hybrid production. The results highlight the potential of lines 204-21 and 7101/10 as promising materials for the development of tropicalized purple sprouting broccoli hybrids, a type of cultivar still unprecedented in the Brazilian market. Thus, the study contributes to the advancement of national genetic breeding, promoting greater diversification, sustainability, and competitiveness in horticulture in warm climate regions.Item type:Item, Exposição aos microplásticos em ambientes internos: revisão sobre as fontes e impactos à saúde humana(Universidade Federal de São Carlos, 2025-12-01) ;Souza, Luís Gustavo Diniz de ;Urban, Roberta Cerasi ;https://lattes.cnpq.br/7313670290572985https://orcid.org/0000-0001-6328-6972The continuous degradation of plastic waste, driven by physical and chemical processes, has resulted in the dispersion of microplastics (MPs) across diverse environmental compartments. However, scientific literature has prioritized outdoor environments, while indoor environments where MP concentrations frequently exceed those found outdoors do not receive the same attention. This work conducts a literature review on MP exposure in indoor environments, analyzing their sources, characteristics, and potential health risks. The review identifies that indoor spaces are accumulation zones, dominated by fibers of textile origin, such as polyethylene terephthalate (PET) and polypropylene (PP), and that exposure occurs primarily through inhalation and dust ingestion. Toxicological evidence points to risks such as oxidative stress and inflammation, with the finding that MPs can translocate into the bloodstream and have already been detected in tissues such as the lungs, liver, and human placentas. Therefore, indoor air quality is established as a relevant public health issue, and mitigation requires a coordinated approach.Item type:Item, Desafios e Oportunidades das Estratégias de Reativação de Clientes Inativos em Atacados Alimentícios de Campinas(Universidade Federal de São Carlos, 2025-12-01) ;Silva, Celso Cantarazo Gimenes ;Guimarães, Márcia Regina Neves ;https://lattes.cnpq.br/9250214706491925https://orcid.org/0000-0001-8471-3216Reactivating inactive customers is a central challenge for food wholesalers in Campinas, given the intense competition and constant changes in consumer behavior. This qualitative, exploratory, and descriptive study interviewed marketing, CRM, and operations managers to understand how companies define inactivity, manage customer data, segment portfolios, and conduct reactivation campaigns. The findings highlight a critical issue: incomplete and poorly integrated databases, which make it difficult to identify customer profiles, personalize approaches, and measure results accurately. The use of predictive analysis and customer lifetime metrics remains limited, with an excessive focus on short-term returns. On the other hand, promising opportunities are emerging — such as process automation, artificial intelligence for early inactivity detection, personalized multichannel communication, and compliance with data protection laws as a trust-building element. The application of the Ishikawa Diagram and SWOT Matrix clarified root causes and strategic priorities. Based on the study’s findings, it is concluded that reactivation is no longer a one- time effort but a continuous process supported by reliable data, thoughtful communication, and technological integration; when these pillars evolve together, return rates increase, reactivation costs decrease, and long-term relationships in the wholesale food sector are strengthened.Item type:Item, Práticas significativas no atendimento de adolescentes em cumprimento de medidas socioeducativas de internação: uma análise a partir da realidade do Estado de São Paulo(Universidade Federal de São Carlos, 2025-12-01) ;Rico, Ariane Stamboni ;Pessoa, Alex Sandro Gomes ;https://lattes.cnpq.br/4333565964821090 ;https://lattes.cnpq.br/5508877355124819Murgo, Camélia SantinaStarting from the argumentative premise that studies conducted on the topic of socioeducational measures have focused on the counterproductive aspects of the measures, thus necessitating research aimed at significant practices that can contribute to service improvement, the objective of this research was to analyze, based on the indication of adolescents serving socio-educational measures of deprivation of liberty at Fundação CASA, which professionals, significant practices, and theoretical-methodological conceptions underpin the services provided to these groups in institutional settings. The epistemological approach adopted in this investigation was consistent with authors in Community Social Psychology. Three studies were conducted, utilizing qualitative, descriptive-exploratory designs with a cross-sectional approach. The study involved 202 adolescents serving institutional placement measures, who responded to a questionnaire, indicating, among other things, a professional whose actions made a difference in their lives and helped them cope with the adversities resulting from the infraction and the institutional placement measure. Subsequently, the two most frequently mentioned professionals from each unit (totaling 10 participants) and two adolescents who cited these professionals (24 adolescents) were interviewed. The results highlighted that the practices considered significant by adolescents were not based on scientific intervention methodologies but were related to welcoming/care and cordial treatment. Furthermore, several challenges to professional performance were identified, such as unit overcrowding, difficulty in articulating work with other institutions in the protection network, and a lack of human and material resources. Adolescents, on the other hand, pointed to practices such as conversations and advice, in addition to practices expected from certain professions, as significant. Considering the history of multiple rights violations to which the adolescents have been subjected, it is expected that emotional support, respectful treatment, praise, and advice on life change are understood as significant in assisting with the fulfillment of the measure, even though there is no evidence that such actions have a significant impact on a change in the trajectory of delinquency. Therefore, the recommendation is to conduct studies focused on the impact of these practices after the fulfillment of the measure, in addition to psychosocial interventions that consider the adolescents' needs before, during, and especially postmeasure, ensuring access to public policies and development conditions that enable reflection and criticality regarding the political, social, and economic context in which these adolescents are subjectivated.Item type:Item, Processamento de linguagem natural aplicado a notícias futebolísticas(Universidade Federal de São Carlos, 2025-12-01) ;Franzotti, Murilo Rejani ;Ramos, Thiago Rodrigohttps://lattes.cnpq.br/1634196230063965Natural Language Processing (NLP) is an important set of techniques and tools suitable for text analysis and, when combined with the efficient use of data collection procedures from the internet, web scraping, they form effective processes for their analysis. In the context of football, sports news plays a significant role in events, as it describes and, in many cases, causes such facts. Analyzing these texts results in significant indicators about football-related events, as they reflect the desires and thoughts of fans. Furthermore, from a temporal perspective, it is possible to distinguish when an event impacts the football world, either through an increase in the number of news articles or through the strengthening of relationships between one word and another. With this in mind, analyzing the similarity between players and coaches and their respective clubs and national teams leads to conclusions regarding how impactful an event was for the audience that follows the sport. Thus, through news articles, it is possible to obtain relevant indicators from the end of 2023 until the penultimate quarter of 2025. For example, the fact that the player Neymar transferred to Santos corroborated his media exposure, and with Messi moving to play in the United States, rumors of his retirement increased, as the spotlight is no longer focused on the player. In addition, titles significantly increase a club’s appearance in the media, such as Botafogo’s victories in the Brazilian Championship and the Copa Libertadores at the end of 2024. These and other events impact the football world, and it is possible to analyze this through this type of data, namely, news articles..Item type:Item, Investigação de sistemas granulares supercondutores utilizando a formulação T-A(Universidade Federal de São Carlos, 2025-12-01) ;Motta, Gabriel Lemes Molizane ;Chaves, Davi Araujo Dalbuquerque ;https://lattes.cnpq.br/5212502063961840 ;https://orcid.org/0000-0001-6998-3154Motta, MayconGranular superconducting materials are consisted of grains, with superior superconducting properties, and weak links (WL) regions, with reduced superconducting properties. Those WLs limit the transport current capacity of a superconductor, but they also exhibit effects that can be explored in possible superconducting devices. A granular system containing two grains and a single WL on a thin film shows a magnetic response similar to those observed in granular materials, allowing one to study grain-intergrain relations by this system. In this work, we implemented the T-A formulation, commonly used to model high critical temperature superconducting cables, to model the granular system mentioned, with 45°, 60°, and 90° tilted WLs. The results we obtained showed that the T-A formulation is able to reproduce experimental results of magnetic field distribution through the samples with orthogonal and tilted WL observed when subject to a perpendicular applied magnetic field. In particular, the relationship between transparency and the angle between discontinuity lines (d-lines), τ = cos θ, was recovered from the simulated model.