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Now showing 1 - 20 of 2013

Comercialização de alimentos: convergências entre agroecologia e economia solidária
(Universidade Federal de São Carlos, 2025-05-30)
Poncio, Aline
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Marjotta-Maistro, Marta Cristina
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https://lattes.cnpq.br/3987280258617095
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Montebello, Adriana Estela Sanjuan
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https://lattes.cnpq.br/4326971138357942
Family farming is extremely relevant and strategic for Brazil, playing a fundamental role in food production and local development. In recent years, initiatives aimed at expanding its autonomy and presence in markets have been strengthened through the creation of alternative forms of commercialization. Increasingly, farmers are developing alternative approaches to market food, while at the same time organizations are emerging that seek new forms of consumption and prioritize solidarity-based relationships. The commercialization of food using principles of solidarity economy arises as an alternative to conventional markets, seeking a more equitable and fair socioeconomic relationship among farmers, intermediaries, and consumers. This research aimed to understand how solidarity economy has been studied in different agricultural contexts through bibliometric analysis and, through a case study, to present the incubation process and the operation of a market that applies solidarity economy principles in food commercialization and organizational structure, which may serve as a model and alternative in different localities.
Abordagens de aprendizado de máquina e redes complexas na classificação de transtornos mentais
(Universidade Federal de São Carlos, 2025-05-30)
Sallum, Loriz Francisco
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Alves, Caroline Lourenço
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https://lattes.cnpq.br/2509241559871646
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Rodrigues, Francisco Aparecido
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https://lattes.cnpq.br/2153014839354888
Complex network science has emerged as a powerful tool for studying the structural and functional organization of the brain under normal conditions and in pathological contexts. In recent years, network-based approaches have been widely used to understand how mental and neurodevelopmental disorders influence brain organization and alter its functionality. The integration of graph theory, functional neuroimaging techniques, and computational methods enables the reconstruction of brain networks and contributes to understanding the impacts of various disorders at the individual level. Moreover, advances in automated diagnosis using machine learning have shown promising results in predicting and characterizing a range of disorders based on the analysis of functional connectivity obtained from time series of brain activity. This project aims to classify different mental disorders through the reconstruction of complex networks from time series extracted from neuroimaging data. The goal is to assess which connectivity metric is most suitable for reconstructing the brain network topology associated with each mental disorder, as well as the one that achieves the best classification performance. Machine learning models were used to analyze functional connectivity matrices in order to characterize the brain topology associated with each condition and to identify disorder-specific connectivity patterns. For major depressive disorder (MDD), Spearman correlation was the most suitable metric for reconstructing brain networks. The results suggest that alterations in connectivity are related to deficits in attention, memory, and decision-making. For autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD), transfer entropy was used to build the connectivity matrix, revealing altered patterns in brain regions associated with attention and impulse control in ADHD, and impairments in social and cognitive areas in ASD. Connectivity patterns were also analyzed to understand the progression of Parkinson’s disease (PD). In its early stages, the patterns resembled those of healthy individuals, while in later stages, a reduction in synchronization between brain regions and disease progression was observed. Therefore, the findings of this study contribute to more accurate diagnoses and to the development of personalized intervention strategies, promoting advances in the understanding and treatment of these conditions.
Formação e consultoria colaborativa escolar para professores especializados de alunos com Transtorno do Espectro Autista
(Universidade Federal de São Carlos, 2025-05-30)
Pereira, Amanda Cristina dos Santos
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Domeniconi, Camila
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https://lattes.cnpq.br/9684535663947328
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https://orcid.org/0000-0003-0486-3543
;
https://lattes.cnpq.br/0951106943534543
Considering the challenges in the schooling of students with Autism Spectrum Disorder (ASD) reported in the Brazilian scientific literature, the present study aimed to investigate the effects of teacher training procedures for educators working in inclusive regular education settings, across two separate studies. Study 1 aimed to design, implement, and evaluate the effects of an online, lecture-based training program for participants regarding basic theoretical knowledge of Behavior Analysis, specifically related to the management of challenging behaviors in students with ASD. An A-B-A experimental design was employed. The dependent variable was the participants' performance on theoretical questions about managing challenging behavior, while the independent variable was the training delivered by the researcher. Five teachers from a municipal school district in the interior of São Paulo state participated in this study. The data collection procedure comprised four stages conducted online and synchronously. The results indicated that the training increased participants’ theoretical repertoire and stimulated reflection on their educational practices, leading them to consider evidence-based practices grounded in Applied Behavior Analysis (ABA). Study 2 aimed to evaluate the effects of a collaborative consultation on the development of documents related to the schooling of students with ASD, focusing on ABA-based practices within the regular school context. The specific objectives were: (a) to identify challenges in implementing the collaborative consultation for intervention planning through the development of the following documents: Assessment Report, Individualized Education Plan (IEP), and Challenging Behavior Management Plan in the School Context; and (b) to assess participants’ perceptions regarding the importance and feasibility of implementing these documents in their school settings. This was a collaborative research study, involving three teachers. The dependent variable was the behavior of one participant in the development of the Assessment Report, IEP, and Challenging Behavior Management Plan for their students, and the independent variable was the collaborative consultation with the researcher. The data collection procedure included nine stages, and the consultation sessions were conducted online and synchronously. The results showed that the participant demonstrated an increased repertoire of target behaviors related to the development of each document. Additionally, social validity was established through the other participants’ positive evaluations of the importance and feasibility of implementing the documents in school settings. Therefore, it can be concluded that both studies—teacher training on theoretical foundations and collaborative consultation for teachers of students with ASD in regular education—can be effective services for fostering reflection and improving pedagogical practices. However, further research is needed to develop and validate procedures and outcomes, improve working conditions for teachers, and promote legislation that encompasses evidence-based practice in education.
Meta-análise em rede na comparação de anticoagulantes para tratamento de tromboembolia venosa associada ao câncer
(Universidade Federal de São Carlos, 2025-05-30)
Silva, Fernanda Borim da
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Zuanetti, Daiane Aparecida
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https://lattes.cnpq.br/8352484284929824
;
https://orcid.org/0000-0003-1591-959X
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https://lattes.cnpq.br/3854402882770424
Cancer-associated venous thromboembolism (CAVTE) is a common complication in oncology patients and is associated with a high risk of morbidity and mortality. Several anticoagulants are used for its treatment; however, the lack of direct comparisons among all available therapeutic options makes the optimal clinical choice challenging. In this context, this study conducted a network meta-analysis using a Bayesian hierarchical approach to compare the efficacy and safety of the anticoagulants Dalteparin, Apixaban, Rivaroxaban, and Edoxaban, integrating both direct and indirect evidence from six randomized clinical trials. The modeling was carried out using a random-effects binomial framework and Monte Carlo Markov Chain (MCMC) algorithms implemented in the R software. The results indicate that Apixaban performs best in terms of efficacy, while Dalteparin shows a superior safety profile, especially concerning non-major clinically relevant bleeding events. The findings reinforce the value of network meta-analysis as a decision-support tool in clinical contexts involving multiple therapeutic alternatives.
Avaliação da funcionalidade pós-COVID-19: da tradução à aplicação clínica da escala Post COVID-19 Functional Scale (PCFS) no Brasil
(Universidade Federal de São Carlos, 2025-05-30)
Facio, Carina Araujo de
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Guimarães, Fernando Silva
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https://lattes.cnpq.br/4190757874421966
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https://orcid.org/0000-0003-1277-9325
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Di Lorenzo, Valéria Amorim Pires
Introduction: Post-COVID-19 syndrome, characterized by the persistence of symptoms and functional impairments after the acute phase of SARS-CoV-2 infection, represents a clinical and public health challenge. The Post-COVID-19 Functional Status (PCFS) Scale has emerged as a tool to assess post-COVID-19 functional limitations, but no Portuguese version was available for use in Brazil. Objective: This thesis aimed to translate, culturally adapt, and validate the PCFS Scale for use in Brazil, as well as to explore its clinical applicability in the post-COVID-19 population. Methods: The research was conducted in two phases: (I) translation and cross-cultural adaptation of the PCFS Scale, following international guidelines, and assessment of its measurement properties (construct validity, internal consistency, intra- and inter-rater reliability), using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) as a reference; (II) application of the Brazilian version of the PCFS in an online cross-sectional study involving participants with a confirmed diagnosis of COVID-19. Results: The Brazilian version of the PCFS demonstrated excellent internal consistency (α = 0.85), reliability (ICC > 0.8), and strong correlation with WHODAS 2.0 (r = 0.73–0.84). Its clinical application revealed that 40% of the sample exhibited functional impairment, along with a longer duration of symptoms, a greater number of symptoms, and a higher proportion of persistent symptoms. Conclusion: The Brazilian version of the PCFS Scale is valid and reliable for clinical and scientific use, representing a relevant tool for assessing and guiding rehabilitation programs in the post-COVID-19 population in Brazil. This thesis provides support for clinical practice, future research, and public health policies.
Tabela de dados morfométricos e merísiticos: peixes Priocharax de diferentes drenagens da Amazônia
(Universidade Federal de São Carlos, 2025-05-30)
Mattox, George Mendes Taliaferro
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https://lattes.cnpq.br/4453900943293186
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https://orcid.org/0000-0003-4748-472X
Transa (1972): a canção de exílio de Caetano Veloso
(Universidade Federal de São Carlos, 2025-05-30)
Colombari, Rodolfo José
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Salgado, Luciana Salazar
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https://lattes.cnpq.br/5206927424265495
;
Brasileiro
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https://lattes.cnpq.br/7535565756243595
This study aims to analyze Caetano Veloso's album Transa (1972), composed and produced at the time of his exile in London due to the military dictatorship established in Brazil since 1964, aggravated after the AI-5, in order to perceive it as a song from exile. Based on Bernd's study (1992), we understand Transa as a desacralizing work in the construction of a national identity, since it is composed of an anthropophagic mixture (Andrade, 1928) of elements that refer to the popular, the historically excluded classes and Afro-Brazilian ancestral culture, while incorporating Gregório de Matos, Dorival Caymmi and João Gilberto with elements of mass culture such as the Beatles' rock'n roll and the English language. Orality, the means by which popular culture has been transmitted through time, finds a way to materialize on the record and in the composition of songs, forming a double body of the medium (Debray, 2000) made up of the institutional dimension (materialized organization) and its material dimension (organized matter), in other words, the object responsible for the transmission and crystallization of certain ideas that refer to the popular and oral culture of the excluded classes, such as blacks, mestizos and indigenous people, and which are mobilized and organized by Caetano Veloso in order to sing about his country as an exile.
Modelagem e previsão de índice S&P 500 utilizando redes neurais recorrentes
(Universidade Federal de São Carlos, 2025-06-01)
Brandão, Theodora Luísa
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Moreira, Pedro Augusto Franco Pinheiro
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https://lattes.cnpq.br/5964404207962453
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https://orcid.org/0000-0003-2843-775X
The present study aims to develop a predictive model for the S&P 500 index using Long Short-Term Memory (LSTM) Recurrent Neural Networks, due to their ability to capture long-term temporal patterns in financial time series. The index comprises the 500 largest publicly traded companies in the United States and serves as a key indicator of the performance of the U.S. stock market and, by extension, the global economy. It is widely used as a benchmark by institutional investors, fund managers, and economic analysts around the world. The methodology adopted in this work involved the collection and preprocessing of historical S&P 500 data, time series decomposition, and the modeling and forecasting of the index. The results demonstrate that the LSTM model was able to capture the dynamics of the S&P 500 index with reasonable accuracy, effectively tracking its trends and variations in the test set. The graphical comparison between actual and predicted values revealed strong alignment during periods of stability and growth, although performance declined during times of heightened volatility. The time series decomposition reinforced the presence of a long-term upward trend, stable seasonality, and a significant influence of macroeconomic events, highlighting the complexity of the series and the importance of considering its structural components in predictive modeling.
Podcasts e dupla excepcionalidade: uma análise documental sobre a disseminação de informações no Brasil
(Universidade Federal de São Carlos, 2025-06-01)
Barraca, Lígia Martins
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Rangni, Rosemeire de Araújo
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https://lattes.cnpq.br/6399149504309769
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https://orcid.org/0000-0002-8752-9745
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https://lattes.cnpq.br/6238666394179727
Recently, there has been growing a production and circulation of content in podcast format, along with an increasing use of this tool as a way of discovering new topics and conducting research for various purposes. One of the themes that has been gaining notoriety in this context is Twice Exceptionality. With that established, the main objective of this work was to analyze Brazilian podcasts that specifically address the topic of Twice Exceptionality, and, as a secondary objective, to investigate what content is covered in these podcasts and what purposes these materials serve when addressing the topic in question. This research has a documentary nature and was based on the collection and analysis of podcast episodes published between 2014 to 2024. The selection criteria included the presence of the terms “Dupla Excepcionalidade” (Twice Exceptionality) or “Dupla Condição” (Dual Condition) in the titles, the use of Brazilian Portuguese, and publication on the most widely used platforms in the country. The episodes were listened to and described, taking into account aspects such as the profile of the participants, the language used, and the target audience. The data indicate 17 productions found through the established criteria, and most episodes were produced by professionals in Psychology and Psychopedagogy, aimed at professionals in Education and Health as well as individuals with Twice Exceptionality Education. It was also found that there is a scarcity of specific content on the topic with the theme being explored in a superficial manner. The data collected highlighted the relevance of podcasts as an accessible and potentially effective tool for disseminating knowledge. Despite the limitations, it is inferred that there is a growing interest in the topic and, as a result, a possible trend toward the expansion of more in-depth content production on twice exceptionality.
Estudo in vitro e in vivo de complexos fosfínicos de Ru(II) com atividades anticancerígenas
(Universidade Federal de São Carlos, 2025-06)
Mello, Marcos Vinícius Palmeira de
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https://lattes.cnpq.br/8894654634441028
;
https://orcid.org/0000-0003-2550-5315
From p to n type-semiconductor and metallic material: one-step route using femtosecond pulsed laser to produce Ag3VO4/AgVO3/Ag heterostructure
(Universidade Federal de São Carlos, 2025-06)
Cruvinel, Guilherme Henrique
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Garcia, Rafael de Queiroz
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Pinatti, Ivo Mateus
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Ribeiro, Renan Augusto Pontes
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De Boni, Leonardo
The advent of femtosecond pulsed lasers has revolutionized materials science by enabling intense, ultrashort light pulses, facilitating nonlinear optical phenomena and structural modifications in materials. Ag3VO4, with its narrow band-gap, faces challenges such as charge recombination, leading to the exploration of doped and composite materials to improve efficiency in its applications. This work introduces a femtosecond laser irradiation method to produce intrinsic p-type (Ag3VO4)/n type (AgVO3) semiconductor heterostructures, along with metallic silver (Ag0) with plasmon effect in one-step for the first time. The heterostructures were experimentally characterized (X-ray diffraction, Raman and Ultraviolet-visible spectroscopies, Field Emission Scanning Electron Microscope and Transmission Electron Microscopy) and discussed through quantum-mechanical, which provide insights into their structural, electronic, and vibrational properties and morphological analysis. X-ray diffraction and Raman spectroscopy indicated the presence of metallic Ag and β-AgVO3, with plasmon effects, along with Ag3VO4. A detailed theoretical analysis revealed structural distortions and atomic environment influencing atomic charges, with β-AgVO3 exhibiting more ionic Ag and V cations and significant O atom charge variations compared to Ag3VO4. Unexpected argentophilic and anion-anion interactions in β-AgVO3 were identified, which may help in the understanding of silver nanoparticle growth under electron irradiation. The described production procedure provides the obtention of a new heterostructure, which may have the potential to its applications be explored.
Estágio curricular supervisionado em Educação Física: uma revisão sistemática
(Universidade Federal de São Carlos, 2025-06-01)
Oliveira, Carolina Machado
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Casotte, Liliane Dias Heringer
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Farias, Gelcemar Oliveira
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http://lattes.cnpq.br/2386337600032881
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http://lattes.cnpq.br/4345611767871369
Esta revisão sistemática tem como objetivo sintetizar a produção do conhecimento sobre o Estágio Curricular Supervisionado na área da Educação Física, entre os anos de 2002 e 2022. Para a coleta das informações foram utilizadas como fontes de consulta as bases de dados indexadas à Scopus e Web of Science, mediante o elenco de descritores em inglês, utilizando os operadores booleanos AND e OR. Resultaram para análise 34 artigos sobre o Estágio Curricular Supervisionado, considerando o ano de publicação, periódico, autoria, método e foco dos estudos. No que se refere aos anos de publicação o período de 2011 a 2016 foi o mais acentuado, juntamente com o ano 2020. No cenário internacional a European Physical Education Review teve o seu destaque, sendo as Revistas Movimento e Motriz aquelas que mais publicaram os estudos sobre a temática a nível nacional. Em relação a autoria o maior contingente de publicações é de autores estrangeiros (como González-Calvo; Batista; Moen e Standal). As opções metodológicas centraram-se em estudos qualitativos e com a população de estagiários, professores e agentes vinculados aos estágios. Por fim, o foco dos estudos estava centrado na percepção dos estudantes-estagiários acerca do estágio em sua grande maioria. Conclui-se, então, que, embora tivessem sido encontrados um número considerável de estudos, há a necessidade da interlocução e da fundamentação de investigações na área da Educação Física para a qualificação da intervenção no Estágio Curricular Supervisionado.
Mean curvature flow into an ambient Riemannian manifold evolving by Ricci flow coupled with harmonic map heat flow
(Universidade Federal de São Carlos, 2025-06-02)
Sousa, Carlos Maurício de
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Gomes, José Nazareno Vieira
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https://lattes.cnpq.br/5896951132632512
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https://orcid.org/0000-0001-5678-4789
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https://lattes.cnpq.br/3083818365308525
The main objective of this thesis is to study the mean curvature flow into an ambient compact smooth manifold M with boundary and with a Riemannian metric that evolves by a self-similar solution of the Ricci flow coupled with the harmonic map heat flow of a map from M to a Riemannian manifold N. In this context, we address a functional associated with the Ricci flow coupled with the harmonic map heat flow and calculate its variation along parameters that preserve the weighted volume measure. So, an extension of the Harnack-Hamilton differential appears by considering the boundary of M evolving by mean curvature flow, which must vanish on the gradient steady soliton case. Next, we obtain a Huisken monotonicity-type formula for the mean curvature flow in the proposed background. As an application, we consider the associated normalized family of the mean curvature flow to obtain results of convergence in the Cheeger-Gromov sense in the compact and noncompact cases. Moreover, we show how to construct a family of mean curvature solitons and we establish a characterization of such a family
Microencapsulação de KNO₃ com amido de milho nativo e modificado por atomização
(Universidade Federal de São Carlos, 2025-06-03)
Jesus, Isabella Mikules de
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Santos, Rodrigo Ragazzi dos
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https://lattes.cnpq.br/0570139033358988
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https://orcid.org/0009-0000-0814-7259
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Faez, Roselena
The continuous growth of the global population has demanded increased food production, leading to the excessive use of fertilizers and worsening environmental damage. A promising way to mitigate these impacts is the use of enhanced efficiency fertilizers (EEFs), which consist of nutrients encapsulated in polymeric, ceramic, or composite matrices that control the release of nutrients into the soil. In this study, corn starch (modified or not) was evaluated as a matrix for encapsulating nutrients (K and N in the form of KNO₃) using the spray drying technique. The variation in the equimolar ratio of the encapsulated salts was analyzed, and in the case of amphoteric starch (with both positive and negative charges), its net charge and the degree of substitution of the cationic (3-chloro-2-hydroxypropyltrimethylammonium chloride) and anionic (phosphate) functional groups were determined. Before spray drying, citric acid was directly added to the starch/KNO₃ solution, allowing for the formation of microcapsules with and without crosslinking. This approach aimed to promote in situ crosslinking of the biopolymers, with the goal of delaying nutrient release and enhancing the structural resistance of the microcapsules. Additionally, swelling tests were conducted to assess the effects of crosslinking on the physicochemical properties of the materials. The results indicated that crosslinked corn starch showed greater resistance to solubility and better control of nutrient release, proving more effective in simulated agricultural applications. In contrast, amphoteric starch was less efficient due to its high solubility in water, which compromised its controlled release capacity. Besides, the study proposes a pedagogical approach for high school education, based on the theme “The Chemistry of Fertilizers: Environmental Impacts and Polymer-Based Solutions,” using the STS (Science, Technology, and Society) perspective as a didactic resource.
Avaliação do impacto da amostragem, proporção massa/solvente e equipamento de extração na análise de pesticidas em alimentos
(Universidade Federal de São Carlos, 2025-06-03)
José, Wesley Felipe de Paula
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Fadini, Pedro Sérgio
;
lattes.cnpq.br/3255060531838427
;
https://lattes.cnpq.br/6896958965365140
This study aimed to investigate the applicability of miniaturization of conventional analytical methods for the analysis of pesticide residues in foods. With the growing demand for faster, more cost-effective, and environmentally sustainable analytical methods, there is a need to improve the procedures used for pesticide residue analysis. In classical methods employed by the agrochemical industry and private laboratories, the use of advanced instrumental techniques for separation, detection, and quantification of analytes contrasts with the tedious, time consuming and manual methods used for sample preparation, which can delay and increase the cost of the entire analytical process. Therefore, this research project investigated how different variables employed during the extraction of pesticide residues in foods can influence the levels of residues found in these samples, with the aim of automating the analytical methods. For this purpose, results of six active ingredients (mefentrifluconazole, pyraclostrobin, fluxapyroxad, teflubenzuron, boscalid, and dimoxystrobin) were evaluated in four different matrices (tomato, citrus, cotton, and rice). A full factorial design (23) was utilized, considering the extraction techniques (Ultra Turrax and vortex mixer), sample mass (0.20 g and 2.50 g), and mass/sample volume ratio (1:8 and 1:20). The results obtained indicated that, even with small sample masses, comparable standard deviations were achieved compared to conventional methods. Furthermore, the mass/sample volume ratio showed low significance in the variation of results for the tested levels. Although some variables, such as sample mass and equipment, presented significant effects, these effects were within the expected variability for pesticide analyses. Additional experiments were performed to validate the applicability of miniaturization and automation of the analytical methods.
Agrupamento profundo de grafos usando redes neurais de grafos e seleção de sementes
(Universidade Federal de São Carlos, 2025-06-04)
Lopes Filho, Carlos Pereira
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Valejo, Alan Demétrius Baria
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https://lattes.cnpq.br/9546164790189830
;
https://orcid.org/0000-0002-9046-9499
;
https://lattes.cnpq.br/4073822253624796
Clustering plays a fundamental role in attributed graphs, which incorporate both topological structure and node attributes represented as feature vectors. Deep clustering methods based on Graph Neural Networks (GNNs) have proven effective in extracting patterns from such data. Most existing approaches use a traditional clustering algorithm to identify representative elements, which are later employed in the training of the GNN and the clustering task. However, when selecting representative elements, these clustering algorithms consider only the feature vector of each instance, neglecting topological information. This limitation negatively impacts the GNN learning process. To address this issue, we propose Deep Graph Clustering via Graph Neural Network and Seed Selection (DGCSS), a model consisting of three modules: (1) the seed selection module, which iden- tifies representative nodes; (2) the embedding module, which employs a graph attentional network to capture global topological information; and (3) the self-supervised module, which leverages the representative nodes to guide the clustering task. An advantage of our algorithm is that it integrates both the topological structure and node attributes across all modules to identify representative elements. This is the first GNN-based clustering algorithm that incorporates seed selection, establishing a significant reference for future research. The empirical analysis of real world graphs provides evidence that the use of seeds is competitive when compared to traditional algorithms, such as K-Means combined with GNNs.
Dimensionamento da pasteurização para a obtenção de um caldo de cana destinado à produção de frozen de cana: um estudo de caso
(Universidade Federal de São Carlos, 2025-06-04)
Oka, Yasmin Naomi Gushiken
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Neves, Isabelle Cristina Oliveira
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https://lattes.cnpq.br/3479449098249392
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Furtado, Guilherme de Figueiredo
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https://lattes.cnpq.br/6217162662863550
Sugarcane juice, also known as "garapa," is a traditional beverage widely consumed in Brazil, especially at open-air markets, and is obtained by extracting the liquid from sugarcane stalks. Aiming to diversify its consumption, a startup developed the concept of frozen sugarcane juice, in which the freshly extracted juice is immediately frozen to extend its shelf life. However, this process does not fully ensure the product’s quality and safety, and it requires thawing before being processed in the frozen beverage equipment. In this context, the present study aimed to evaluate the feasibility of applying pasteurization as an alternative to freezing, allowing shelf life extension, while maintaining microbiological safety and improving process efficiency. To achieve this, a fictional heat exchanger was designed and dimensioned for the pasteurization of raw sugarcane juice, using thermodynamic calculations and physical-chemical parameters. The proposed plate heat exchanger demonstrated thermal efficiencies ranging from 77% to 81%, values consistent with technical references. It is concluded that the adoption of pasteurization, supported by the use of plate heat exchangers, presents a promising alternative for the sugarcane juice processing industry, offering benefits in both food safety and operational cost reduction.
Desenvolvimento e avaliação de um programa de habilidades cognitivas e emocionais para promoção do equilíbrio trabalho-vida pessoal
(Universidade Federal de São Carlos, 2025-06-04)
Santos, Gabriela Trombeta
;
Barham, Elizabeth Joan
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https://lattes.cnpq.br/9868595523538592
;
https://orcid.org/0000-0002-7270-4918
;
https://lattes.cnpq.br/5875147172625110
Many workers struggle to conciliate paid work demands with the rest of their lives, leading to negative effects on their health and well-being. However, there are few studies evaluating the effectiveness of intervention programs to improve work-life balance, which makes it difficult for professionals, organizations and public policy makers to implement evidence-based interventions. The aims of this research were to: (a) develop an intervention program on work-life balance – "Caminho do Equilíbrio Trabalho-Vida", for use via a cell phone app, and (b) evaluate the usability, acceptability, and effects of this program. The program involves a sequential learning experience covering: (a) self-monitoring, (b) psychoeducation on topics related to balancing work and personal life demands, (c) activities to increase specific cognitive and emotional skills through mindfulness training, and (d) written activities to stimulate the analysis and development of plans for improving the fit between work and personal life involvements. First, the process of developing the program and the cell phone app is presented, including a systematic literature review on the effects of mindfulness programs on work-life balance. Second, the process of evaluating this program is described, based on two pilot studies and a randomized controlled trial (RCT). The RCT was conducted with 474 Brazilian workers over the age of 18, with access to Android or iOS cell phones. Participants were randomly assigned to the intervention group (who received the program via the app) or the control group. Although retention rates were low in both groups, there were statistically significant effects indicating gains, with moderate to large effect sizes, for the group using the app, compared to the control group. These gains included increases in: mindfulness (p < 0.001, d = 1.07), satisfaction with work-life balance (p < 0.001, d = 0.94), psychological detachment from work during off-work hours (p = 0.014, rb = 0.32), satisfaction with activities for relaxation (p = 0.003, rb = 0.38), satisfaction with work productivity (p = 0.002, d = 0.72), and levels of well-being (p = 0.019, d = 0.69), as well as a significant reduction of work-to-life interference (p < 0.001, d = 0.95). No significant differences were found between the groups concerning their perceptions of life-to-work interference or of the benefits of combining work-life involvements. Six weeks after completing the program, findings for the app group were still significantly better than on the pre-test, indicating that program benefits were maintained. The main contributions of this research include: (a) an analysis of the literature on the effectiveness of mindfulness-based programs for work-life balance, and the development of a model of the relationship between mindfulness and perceptions of balance, important to support the work of professionals in this area, (b) a methodological contribution involving the creation of a mindfulness program integrated with issues of work-life balance, and (c) the evaluation of the effects of this program, indicating its potential to promote the well-being of Brazilian workers.
Análise de fotocondução e efeito de memória resistiva em filmes finos de ZnO dopados com sódio
(Universidade Federal de São Carlos, 2025-06-04)
Magalhães, Bruno Trefilio
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Godoy, Marcio Peron Franco de
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https://lattes.cnpq.br/2609654784637427
;
https://orcid.org/0000-0002-8376-8642
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https://lattes.cnpq.br/7547498992247322
With the increasing use of computational resources in everyday life, the continuous search for materials that can lead to advances in electronic devices and computing in general is necessary, whether in terms of computational or energy efficiency. In particular, zinc oxide (ZnO) presents favorable properties for applications in both photonics and the development of memristors. The investigation of the operating and performance characteristics of materials with memristive properties can improve the way we store information, and new computational architectures can be established, such as neuromorphic computing. In this work, the photoconduction characteristics and the memristive effect under the influence of ultraviolet light and different atmospheres on a thin film of 𝑍𝑛𝑂 doped with sodium (ZnO:Na) are investigated. The photoconductivity of the film was evaluated in several atmospheres - argon, synthetic air, free atmosphere, nitrogen, oxygen, carbon dioxide and vacuum - as well as the role of different light stimuli in photoconduction. In the absence of oxygen, the persistence of photoconductivity (PPC) phenomenon is observed more intensely in vacuum and carbon dioxide, with half-lives longer than one hour. The presence of oxygen is destructive to the conductivity of the film, impairing the retention of long-term memory (LTM). For the memristive effect, voltage versus current scans (I-V scans) were performed on the sample immersed in dry atmospheres (synthetic air and carbon dioxide) and in a free atmosphere. Lighting enhances the memristive effect, as seen in the larger internal areas when illuminated: 219𝜇A in synthetic air, 147𝜇A in a free atmosphere and 17𝜇A in carbon dioxide, compared to initial areas of around 0.1𝜇A. The memristive characteristics of the film are not altered by lighting but by the atmosphere, reinforcing that memristance is a surface effect.
Impacto na eficiência energética em sistemas de irrigação sem manutenção: estudo de caso
(Universidade Federal de São Carlos, 2025-06-05)
Breda, Júlio César da Silva
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Gonçalves, Amilcar Flamarion Querubini
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https://lattes.cnpq.br/1742343294433199
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https://orcid.org/0000-0003-0280-9711
The pursuit of energy efficiency is essential in agriculture, as electricity represents one of the sector’s main inputs. This study analyzes the impact of the lack of maintenance on the energy efficiency of irrigation systems using water pumping. The research is based on a case study conducted on a farm, where data were collected on energy consumption, hydraulic performance, and system losses. The methodology involved measurements of current, voltage, and pressure, as well as calculations using the Hazen-Williams equation and the pump performance curve. The results showed that the lack of maintenance leads to a significant increase in energy consumption and a reduction in system efficiency. After a partial intervention, an improvement in pump performance and a decrease in operational costs were observed. It is concluded that preventive maintenance is essential to ensure energy efficiency and reduce waste in the agricultural sector.