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Uma abordagem experimental do efeito estufa no ensino médio utilizando internet das coisas
(Universidade Federal de São Carlos, 2024-09-05)
Raffa, Rodrigo Felipe
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Soares, Antônio Augusto
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https://lattes.cnpq.br/8093480629202515
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Cantão, Renato Fernandes
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https://lattes.cnpq.br/3016268479248046
This work aims to propose a low-cost experimental activity using Internet of Things (IoT) technology to address the greenhouse effect in Physics education. The study seeks to develop scientific and technological skills and competencies in high school students, in accordance with the National Common Curricular Base (BNCC). The proposed methodology uses the ESP32 microcontroller as a tool for data collection on the greenhouse effect, aiming to foster understanding and reflection on the causes and consequences of this phenomenon, as well as to stimulate the formation of a critical and responsible environmental awareness. The proposed experimental activity integrates theory and practice, allowing students to have an interactive and applicable learning experience in their daily lives. The use of the ESP32 enables the creation of a real-time monitoring system of the variables involved in the greenhouse effect, focusing on temperature. With this, students can visualize and analyze the collected data, understanding more concretely the impacts of the greenhouse effect. The development of the experimental activity was guided by the need to meet the BNCC guidelines, which emphasize the importance of scientific and technological education in high school. The proposed approach seeks to develop practical skills and stimulate critical thinking in students. The integration of IoT in Physics education allows the creation of more dynamic learning environments, where students can explore scientific concepts in a practical and contextualized manner. The use of emerging technologies, such as the ESP32, contributes to the formation of an education more connected with contemporary demands and the needs of an increasingly technological society. The expected results include improving students' understanding of scientific concepts related to the greenhouse effect and increasing engagement in sustainability issues. The proposed experimental activity aims to demonstrate that it is possible to teach Science in an innovative and effective way, using accessible and low-cost technological resources. The dissertation concludes that the implementation of experimental activities based on IoT can significantly contribute to scientific education in high school, preparing students to face environmental and technological challenges of the future.
Comparação de modelos de redes neurais na segmentação de vasos sanguíneos em imagens médicas
(Universidade Federal de São Carlos, 2024-09-05)
Calvo, Ivan Duarte
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Comin, Cesar Henrique
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https://lattes.cnpq.br/9563440403120931
;
https://orcid.org/0000-0003-1207-4982
;
https://lattes.cnpq.br/5545908640929244
The analysis of blood vessels is responsible for extracting various important pieces of information in the healthcare field, and the impact of more precise analyses on disease studies and diagnoses holds positive potential. However, performing these analyses manually involves significant time and resource consumption. The segmentation of blood vessels in images represents a large part of this difficulty and cost. Technological advancements have enabled the implementation of machine learning techniques to carry out this crucial task, particularly through the use of neural networks, which has marked a significant evolution in the field. This work analyzes and compares various neural network models that have recently garnered significant attention, such as ResNet and EfficientNet, for example. The goal of this analysis and comparison is to obtain important insights into the advantages and disadvantages of applying each investigated model, such as situations where the models have lower accuracy and the influence of preprocessing and training stages on the models. The impact of varying the size and number of parameters in the models is also investigated, as smaller models may deliver very satisfactory results while consuming fewer computational resources and much less time. Finally, the tests indicated a good result with the models implemented with U-Net, especially RegNet and DenseNet. Also noteworthy were the results obtained by smaller models, like RegNetY_002, for instance, which in several cases achieved similar results in IoU and clDice as models with approximately five times more parameters.
Compreensão das práticas de ensino de ciências experimentais por professores dos anos iniciais do ensino fundamental de uma rede municipal: uma análise do ponto de vista dos saberes docentes
(Universidade Federal de São Carlos, 2024-09-05)
Esteter, Querina Costa
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Silva, João Ricardo Neves da
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https://lattes.cnpq.br/5821775579111920
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https://orcid.org/0000-0003-1311-0199
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https://lattes.cnpq.br/6529531208830455
This study aims to understand how Science teaching practices occur in the initial years of Elementary School and what difficulties are encountered by the different elements that make up the educational scenario. To this end, the speeches of teachers and managers in different functions in a municipal network in a city in the interior of São Paulo were analyzed, in order to verify which knowledge is mobilized by teachers in the development of content in this area, seeking specific objectives to analyze the elements of teaching knowledge present about the need and practices of teaching natural sciences, characterize the elements of teaching knowledge present in the reports on the difficulties and possibilities of practices and characterize the relationship between the categories of knowledge expressed and the teaching system, including the municipality's official curriculum and the continuing teacher training process. To meet the proposed objectives, the study is characterized as descriptive and exploratory, using as a research strategy the analysis of semi-structured interviews, which were carried out with 12 professionals, teachers and professionals from the school management team and the data was assessed through content analysis, as presented by Bardin (1977). From this analysis, the elements were coded and organized into four categories, namely: inside Science teaching, teacher training in Science teaching, planning in Science teaching and the involvement of emotions. Furthermore, the data revealed the importance of interactions between the elements participating in the educational process and the curriculum, as a way of guiding the development of learning.
Métodos de estimação de modelos de mistura para dados com Distribuição Poisson
(Universidade Federal de São Carlos, 2024-09-05)
Almeida, Claudio Henrique Leão de
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Milan, Luis Aparecido
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https://lattes.cnpq.br/7435391829973844
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https://orcid.org/0000-0001-6466-7865
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https://lattes.cnpq.br/4118501720281480
Mixture models are only used when population data can be partitioned into subpopulations. This methodology allows the use of multiple probability distributions, so that each one determines the behavior of each subpopulation. In this work we study mixture model estimation methods for contagion data, focusing on the Bayesian approach. Two methods are presented here: EM (expectation-maximization algorithm), MH (Metropolis-Hasting). The first mentioned is based on maximum likelihood, there is no Bayesian inference. Applications were made using the EM and MH methods, in simulated databases with even variables. The methodologies are also applied to a real database. From two results, there are possible indications that the methods will perform well when the parameters are close. These estimates are even better for distant parameters. I also verified that as the sample size increases, these estimates are smaller, or what was expected.
Óleo essencial de citros no controle de Diaphorina citri Kuwayama
(Universidade Federal de São Carlos, 2024-09-05)
Campos, Sabrina dos Santos
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Devite, Fernando Trevizan
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https://lattes.cnpq.br/4867480557280424
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Conceição, Patrícia Marluci da
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https://lattes.cnpq.br/6623193710607120
Previous studies have demonstrated the effectiveness of citrus essential oils (EOs) in pest control due to the effects of their components. Thus, the present study aimed to evaluate the efficacy of essential oils extracted from different citrus species, such as lemon (Citrus limon), orange (Citrus sinensis), and Tahiti lime (Citrus latifolia), in controlling the citrus psyllid (Diaphorina citri), the main vector of the disease Huanglongbing (HLB). The focus of this study was to investigate the action of these EOs at different concentrations (0.0%, 0.5%, 1.5%, 3%, and 6%) and modes of application (preventive and curative) against the psyllid. The experiment consisted of two trials, both conducted in a greenhouse. The first trial used EOs extracted from the Eureka and Amber lemon genotypes, while the second evaluated the EOs from orange and Tahiti lime, provided by Cisol do Brasil®. The trials were carried out in a completely randomized design with three replications, in a factorial scheme of 2x5x2 (two genotyp
Automação de implantação de ambiente de computação em nuvem
(Universidade Federal de São Carlos, 2024-09-05)
Dantas, Gabriel de Jesus
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Guardia, Hélio Crestana
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https://lattes.cnpq.br/1780902767520967
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https://orcid.org/0000-0001-5010-747X
Cloud computing is a frequently used technology today, but one which is very complex in the process of implementing, stabilizing and maintaining environments (clusters) available to users. For OpenStack-based environments, this process results from a constant flow of human interaction, ranging on average from 2 to 4 hours of processing in average cases, without interference and debugging, and can take days in the worst cases, taking into account the processing done by the machine in this environment. In order to facilitate the implementation flow of a cloud infrastructure, the automation of this process is considered, aiming to reduce human interaction as much as possible, sending the installation, configuration and communication of software used in the cloud computing environment as an automatic task to the machine. Using Application Programming Interfaces (APIs) and software libraries for managing bare metal servers and Virtual Machines, and an orchestration engine, the goal is to transform the process of connecting and completely configuring the cloud environment into an automated script. As a result, this work generated strategies for building an API for deploying a cloud computing environment, strategies for adding new computers to a stable, functioning cloud environment, and a validation script that, when executed, configures a complete OpenStack infrastructure on a controller machine that initially has only an operating system and some type of Internet access.
Estudo comparativo entre replicação e erasure coding no armazenamento de dados em nuvem
(Universidade Federal de São Carlos, 2024-09-05)
Silva, Sara Ferreira Bento da
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Guardia, Hélio Crestana
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https://lattes.cnpq.br/1780902767520967
;
https://orcid.org/0000-0001-5010-747X
;
https://lattes.cnpq.br/7936781650637000
The amount and diversity of digitally generated data has increased exponentially, leading to the increasing use of cloud storage services due to their scalability, high performance, and convenience. However, storing large volumes of data poses significant challenges to the infrastructure, especially in terms of financial costs and performance. This study compares two data protection methods used in cloud storage systems: replication and erasure coding. Replication creates copies of the data in different hardware locations, aiming to increase availability and reduce bandwidth during transmission, but results in high storage costs. In contrast, erasure codes offer lower storage costs by fragmenting the data, and are widely adopted in large-scale systems such as Microsoft Azure Storage and Google Cloud Storage. However, they present a high computational cost due to encoding and decoding operations. This study investigates the performance of OpenStack Swift with different erasure codes, analyzing how replication and erasure coding policies affect read and write operations and space usage. The results indicate that 2-copy replication is more efficient for small files, while 3-copy replication excels for larger files. On the other hand, erasure codes with (4,2) configuration show better efficiency in terms of storage space, with performance comparable to or superior to replication under certain conditions. The detailed analysis of the experimental results produced provides insights for choosing the most appropriate storage policy, considering different contexts and needs.
Análise das métricas SMART em HDDs para modelos de predição de falha nos discos usados em data centers para a nuvem
(Universidade Federal de São Carlos, 2024-09-05)
Baleeiro, Pedro Freire
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Guardia, Hélio Crestana
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https://lattes.cnpq.br/1780902767520967
;
https://orcid.org/0000-0001-5010-747X
;
https://lattes.cnpq.br/5189907384996909
Cloud data storage is one of the main activities of large cloud infrastructure providers. Objects (unstructured data) make up a large part of what is stored, and Hard Drives (HDs) are still the most widely used media to achieve significant amounts of storage at the best cost-benefit. The entire cloud service infrastructure must be redundant so that the data and the mechanism as a whole are reliable, durable, and available to the maximum. Thus, a significant aspect that has not yet been sufficiently explored and which is the subject of this work is the predictive maintenance of hard drives. In this work, the mechanisms behind this subject are explained by comparing redundancy strategies (Replication and Erasure Coding), monitoring SMART metrics and system reliability, calculating the Lifetime Value (RUL) of devices, and developing Machine Learning models to predict imminent failures in disks of a model. Furthermore, an experiment described in the article “Interpretable predictive maintenance for hard drives” [1] is replicated for a different disk model and range. Finally, considerations are gathered about the effectiveness of this model to treat the data in question and provide greater durability and reliability for a storage system based on hard drives. As a result, we seek to provide a broad knowledge of the subjects involved in this work.
Fundos offshore no Brasil: Uma análise entre 2006 e 2023
(Universidade Federal de São Carlos, 2024-09-05)
Souza, Giulia Mateus de
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Carrara, Aniela Fagundes
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https://lattes.cnpq.br/2348376949393246
Considering the significance of personal investments in Brazil, this study aims to examine the landscape of offshore funds in Brazil between 2006 and 2023, with the objective of gathering economic data on this type of investment and understanding the amount of net assets they manage, as well as the possible relationship with the country's macroeconomic environment. To achieve this, a comparison with fixed-income funds, which are widely traditional in Brazil, was employed. The methodology used was descriptive data analysis, incorporating statistical measures and stationarity tests to understand the behavior of the analyzed net asset time series. The results suggest that offshore funds exhibit distinct dynamics compared to fixed-income funds, as offshore funds appear to carry a higher degree of randomness in the movement of their net assets.
Aderência e satisfação às intervenções e mudanças neuropsicológicas em pessoas idosas: ensaio clínico randomizado
(Universidade Federal de São Carlos, 2024-09-06)
Pereira, Graziele Norberto
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Gramani-Say, Karina
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https://lattes.cnpq.br/5096508613057074
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Ansai, Juliana Hotta
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https://lattes.cnpq.br/1028110691131464
Purpose:To assess the impacts of adherence and satisfaction with interventions on changes in neuropsychological risk factors for falls in older adults with a history of falls. Methods: This controlled, randomized, single-center clinical trial was conducted with Brazilian community-dwelling older adults with a history of at least 2 falls in the past 12 months. Participants were divided into two groups: the Intervention Group (IG) and the Control Group (CG), with assessments at baseline and after 16 weeks. The IG participated in a case management program, including a multidimensional assessment, explanation of fall risk factors, an individualized intervention plan, and monitoring. The CG received monthly health-related guidance. Evaluations included clinical and sociodemographic data, neuropsychological measures (cognition, depressive and anxiety symptoms, fear of falling), adherence to intervention and satisfaction with interventions. Results: The study recruited 523 individuals, of whom 62 were randomized. In the end, 55 participants completed the study, with 26 in the control group (CG) and 29 in the intervention group (IG). Over the 16-week period, 7 participants dropped out, and the average adherence rate was 80.27%. The intervention showed higher satisfaction in the IG compared to the CG (p=0.046), but there was no significant impact on fall risk factors between the groups. No adverse effects were reported. Conclusion: It is concluded that adherence and satisfaction did not significantly influence changes in fall risk factors.
Um estudo sobre testes Flaky em projetos Python
(Universidade Federal de São Carlos, 2024-09-06)
Tararam, Gabriel Mari
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Endo, André Takeshi
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https://lattes.cnpq.br/4221336619791961
Understanding the behavior of automated tests is crucial for improving software development practices. This study focuses on investigating the incidence of flaky tests in Python projects. The research involved analyzing a diverse set of Python projects to address the proposed research questions. The results indicated that 19.44% of the analyzed projects exhibited flaky tests, a significantly higher rate than the 4.5% reported by Gruber et al. (2021). The analysis showed that the majority (85.1%) of the identified flaky tests depended on the order of execution, emphasizing the need to ensure independence between tests to minimize the chance of flakiness. Non-order-dependent \textit{flaky} tests were less frequent but exhibited inconsistencies mainly due to dependencies on external APIs and execution time limits of libraries. These findings suggest that test stability can be compromised by external factors, such as the availability of external services and the variability in responses from these APIs. Future work could be carried out to expand the FlaPy tool to enable the installation and verification of a broader range of projects.
Estudo e comparação de algoritmos para seleção de nós sobre o Problema de Escalonamento de Drone Paralelos com o Caixeiro Viajante
(Universidade Federal de São Carlos, 2024-09-06)
Maia, Lorenzo Correia
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Valejo, Alan Demétrius Baria
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https://lattes.cnpq.br/9546164790189830
The famous Traveling Salesman Problem (TSP) is a challenge that often arises in large companies that handle deliveries, and a new variable is being added to this issue: drones, small unmanned aerial vehicles. Their use has contributed to a new way of thinking about the classic Traveling Salesman Problem. It is now possible to make deliveries with a delivery person and a drone working together to mutually assist each other. This work will address a variant of the problem, called Parallel Drone Scheduling with the Traveling Salesman Problem (PDSTSP). The goal of this new problem is to integrate the use of a drone into a delivery route that was previously served only by a human delivery person. While the person follows the route designed by the Traveling Salesman, they no longer need to visit certain customers because the drone will cover them. Specifically, this work will explore the question of which pre-selection model better chooses the customers that the drone should visit and return directly to the origin. To perform this comparison, two algorithms will be developed: a greedy algorithm and a random algorithm. Python libraries will be used to solve the TSP. Finally, we will obtain a value corresponding to the time it takes for the last vehicle to return to the origin after completing its tasks. The results indicated that the greedy algorithm performed better in the pre-selection of nodes.
Seleção de aços e de lubrificação para rolamentos usados em sistema de exaustão industrial
(Universidade Federal de São Carlos, 2024-09-06)
Rocha, Rodolfo Martins
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Spinelli, José Eduardo
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https://lattes.cnpq.br/8882038118634925
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https://orcid.org/0000-0003-0611-1038
Industrial exhaust systems are of extreme importance for the proper functioning of an industry. Responsible for removing polluting gases from an internal environment to the external environment, industrial exhaust fans have the function of transporting air with the objective of controlling temperature, humidity, moving particles, and other environmental elements to the outside through air displacement. For this to be possible, the fan must be coupled to a system composed of motors, shafts, and bearings. For this system to operate, the components must be capable of functioning in the given environment, as many of these environments are considered corrosive and abrasive, leading to surface wear of the components and, eventually, system failure. One component that must be considered is the bearings, as they are responsible for moving the fan shafts and must withstand high loads, high speeds, and vibrations. Lack of maintenance and misalignment of the fans are some of the causes of surface defects in bearings and, consequently, the bending of the device. Since bearings are made of an articulated structure, they require materials that can withstand, in addition to loads, high speeds and large numbers of rotations, requiring materials with high fatigue resistance and hardness. The most commonly used materials for manufacturing these devices are steels. Among the different types of steels in the materials field, the most used for bearings are high-carbon steels and tool steels. Due to the presence of carbon and other alloying elements, these materials exhibit good hardness and fatigue resistance. In addition to steels, another important material for the proper functioning of bearings is lubricants. Responsible for reducing friction between the rolling surfaces of the bearing, lubricants function by replacing direct friction (metal on metal) with fluid friction (metal with a thin layer of lubricant), thereby increasing the bearing's service life and preventing structural damage. Thus, this study seeks to select alternative steels and lubricants applicable to bearings through the GRANTA Edupack software (for steels only) and classify the best option selected using the TOPSIS method. For the steels, the properties important for application in bearings were considered in two scenarios: reference scenario and priority scenario. Among the options presented, the cold-work AISI D3 steel (C: 2.00% / Mn: 0.30% / Si: 0.25% / Cr: 11.50%) received the best classification, and for the lubricant, LGMT 2 lubricant, whose thickener is lithium soap based on mineral oil, ranked highest.
Análise da cobertura vacinal entre idosos indígenas no município de Carnaubeira da Penha: desafios e perspectivas (2012–2022)
(Universidade Federal de São Carlos, 2024-09-06)
Silva, Amanda Vitória da
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Luna, Willian Fernandes
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Malvezzi, Cecilia
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https://lattes.cnpq.br/4002542600895632
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Itria, Alexander
Indigenous peoples in Brazil face significant challenges, especially in relation to limited access to health services and cultural barriers. The epidemiological profile of these populations is complex, with infectious and parasitic diseases still being one of the main causes of morbidity and mortality. Vaccination against certain infectious diseases is an example of preventive intervention that has a crucial impact on reducing mortality. This study aims to evaluate the vaccination coverage of indigenous elderly people in the municipality of Carnaubeira da Penha, in Pernambuco, seeking to identify possible difficulties and the strategies used to guarantee comprehensive care for this population. To this end, searches were carried out in DATASUS, using data from the National Immunization Program Information System (SI-PNI), based on the vaccination booklet and existing vaccination policies.
IPMC electromechanical behaviuor using platinum layer aiming green economy
(Universidade Federal de São Carlos, 2024-09-06)
Dardis, Thiago Petrilli Maffei
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Scuracchio, Carlos Henrique
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https://lattes.cnpq.br/0896060959622431
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https://lattes.cnpq.br/6555000363761645
Ionomeric Polymer-Metal Composites (IPMCs) are smart materials formed by an electroactive polymer membrane coated on both sides by noble metal electrodes. When an electrical stimulus is applied, an electric field is generated between electrodes, and solvated ions migrate inside the polymeric membrane, causing an internal pressure gradient and bending the device. Despite numerous advantages, it is exceedingly expensive to use noble metals, such as gold and platinum. In addition, the deposition process generates a large amount of toxic waste. Thus, in this work, a Nafion®-based IPMC with a reduced platinum layer (PRIPMC) was prepared and electromechanically tested, comparing it with a reference IPMC (RIPMC). The analyses were performed under precise relative humidity (RH) control. Blocking force and current response were used to evaluate its performance, and the morphology of the Pt layer was evaluated through Scanning Electron Microscopy (SEM). The PR-IPMC presented a 60% thinner electrode layer. The devices performed better when RH = 90%. However, there is just 40% less blocking force compared to R-IPMC. Besides, the reduced amount of platinum complex used to obtain the device represents a saving of reactants and less waste generation, with satisfactory mechanical performance
Desenvolvimento seguro em plataformas de fantasy game: InterREP manager
(Universidade Federal de São Carlos, 2024-09-06)
Faria, Ricardo Augusto Lopes de
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Matias, Paulo
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https://lattes.cnpq.br/3792055796261017
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https://orcid.org/0000-0002-6504-5141
This work addresses the development of a front-end web application for the InterREP tournament's fantasy game, focusing on user experience and information security. The application interface was designed following Nielsen's Heuristics, seeking clarity, consistency, and ease of use. Furthermore, security measures were implemented to protect user data and ensure system integrity. The application development utilized modern technologies, such as the Next.js 14 framework, the pnpm package manager, and the Shadcn/UI component library, providing an efficient development experience and a high-quality final product. The application is expected to enhance the experience of InterREP participants, strengthening the tournament and promoting integration among student republics.
Estudo de adoção da ETE descentralizada de Porto Cubatão (Cananéia-SP)
(Universidade Federal de São Carlos, 2024-09-06)
Nakazawa, Emerson Khin Pereira
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Kellner, Erich
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https://lattes.cnpq.br/6855091004957784
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https://orcid.org/0000-0002-7592-5580
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https://lattes.cnpq.br/0572915062609028
With the promulgation of Federal Law No. 14,026/2020, which changes the Legal Framework for Basic Sanitation, and the new goal of universalizing the basic sanitation system, populations increasingly distant from urban centers must be covered by the collection and treatment of sewage, however the inclusion of this portion of the population introduces new challenges, because they are located far from existing networks, it may not be viable to interconnect these collection points. Decentralized ETEs are one of the solutions used, as they have a lower implementation cost, smaller occupation area in these more isolated areas, and high efficiency in removing quality parameters, as can be seen through the data made available by the concessionaire in the region studied. Ribeira Valley.
Regressão multi alvo via agrupamento hierárquico das variáveis dependentes
(Universidade Federal de São Carlos, 2024-09-06)
Borges, Yan Gimenez
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Cerri, Ricardo
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https://lattes.cnpq.br/6266519868438512
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Levada, Alexandre Luis Magalhães
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https://lattes.cnpq.br/3341441596395463
Multi-target regression is a crucial technique in machine learning, applied to problems where multiple dependent variables need to be predicted simultaneously. In this work, a new approach is proposed that utilizes hierarchical clustering of the dependent variables to explore and model the complex relationships between the multiple targets. The methodology involves identifying underlying hierarchical structures in the output data, enabling more accurate and interpretable modeling of the interdependencies among the dependent variables. The approach was evaluated through extensive experiments on various datasets, comparing its performance with traditional multi-target regression methods. The main contribution is the introduction of hierarchical clustering techniques in the context of multi-target regression, providing a versatile framework that can be applied across different domains. Despite promising results, statistical analyses indicate that the use of hierarchical clustering did not show statistically significant variation in the efficacy of multi-target regression, highlighting the need for the use of other dissimilarity metrics.
Perspectivas teórico-metodológicas de docentes do curso de graduação em Terapia Ocupacional da Universidade Federal de São Carlos: análise qualitativa
(Universidade Federal de São Carlos, 2024-09-06)
Garcia, Rafael Eras
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Figueiredo, Mirela de Oliveira
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https://lattes.cnpq.br/3660487766535040
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https://orcid.org/0000-0003-0101-0115
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https://lattes.cnpq.br/2779928001935817
Occupational Therapy is a relatively young profession that emerged in the early 20th century with the aim of promoting health and well-being through occupation. Since the formal inception of the profession, various authors from different countries and contexts have sought to understand, categorize, and organize both theoretical and practical knowledge, contributing to the professional identity of an occupational therapist. Due to sociocultural and political differences between countries and among diverse groups within the same region, the adoption of theoretical and methodological frameworks varies significantly. Focusing on the investigation of this variability, this thesis aimed to identify and describe the theoretical and methodological frameworks adopted by faculty members of the Department of Occupational Therapy at the Federal University of São Carlos (DTO-UFSCar) in their teaching practices. Specifically, it sought to characterize the academic and professional background of the faculty, how this background influenced the use of theoretical and methodological frameworks in teaching, and the differences and similarities among these frameworks. This research is qualitative, with a descriptive-exploratory design. The sample consisted of seven faculty members from DTO-UFSCar, and data collection was conducted through semi-structured interviews, validated by a group of expert judges. The faculty members' responses were transcribed and analyzed based on seven codes/themes defined for this study, namely: Approaches, Practice Framework, Professional Philosophy, Practice Model, Research and Extension, Frames of Reference, and Professional Theories. The responses, associated with the codes/themes, were subjected to Thematic Content Analysis, with the support of ATLAS.ti® software for the coding process. This software evaluated the frequency (magnitude) with which the seven codes/themes appeared in isolation, their interrelationships (density), and their co-occurrence. Among the results, "Professional Theories" and "Research and Extension" were the most prominent themes, mainly associated with "Approaches," "Professional Philosophy," and "Frames of Reference." The theme "Practice Framework" was one of the least mentioned, which may be related to the fact that the adoption of a structure for professional practice is not unanimously agreed upon among faculty members in the Brazilian context. It is concluded that the results obtained reveal numerous similarities and differences in the adoption and teaching of theoretical and methodological frameworks to occupational therapy students. These results are related to each faculty member's undergraduate and graduate education and previous professional activities.
Influência da atividade física no desempenho do potencial cognitivo P300 em pessoas idosas: um estudo transversal
(Universidade Federal de São Carlos, 2024-09-06)
Paula, Luana Tomazella de
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Bomfim, Ana Júlia de Lima
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https://orcid.org/0000-0001-7512-6343
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Costa-Guarisco, Letícia Pimenta
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https://lattes.cnpq.br/9170509383468366
Introduction: During the aging process, the body goes through different changes such as muscle loss, decreased efficiency of the body's systems, among others. Therefore, practicing physical activity during the period of senescence is extremely important as it brings several vital benefits such as lower risk of diseases, improved cardiovascular capacity, among others. Objective: This study aimed to verify the relationship between physical activity and the P300 long latency evoked potential in elderly people. Methodology: This is a cross-sectional, quantitative and observational study with a sample consisting of 28 participants. Two groups were organized according to the practice of physical activities, based on the answers obtained in the Modified Baecke Questionnaire for the Elderly (QBMI). The active and sedentary groups were compared according to age, education, latency and amplitude of the P300 wave. Results: The sample consisted predominantly of women who were married or in a stable union, highly educated, retired/housewives. The sedentary group showed greater latency of the P300 wave in the Pz channel, compared to the active group. The correlations between the level of physical activity and its components with the P300 latency and amplitude variables were studied, but no statistical significance was found. Conclusion: It is concluded that there is a relationship between the latency of the P300 wave and the practice of physical activity, suggesting that more active elderly people have greater speed in processing information and responding to external stimuli.