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Solidão acompanhada: a dinâmica paradoxal das redes sociais no capitalismo de vigilância
(Universidade Federal de São Carlos, 2024-09-04)
Chini, Gabriela
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Lima, Jacob Carlos
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https://lattes.cnpq.br/9244132532446607
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https://orcid.org/0000-0001-6475-9575
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https://lattes.cnpq.br/5937789946217085
Technological innovations made possible by the expansion of internet use influence and restructure society, implying the movement of continuous and endless information and data that are transformed into commodities aimed at predicting and shaping people's behavior as the foundation of surveillance capitalism. The objective of this study is to analyze the dynamics of interpersonal relationships shaped by social networks and how communication technologies modify subjectivities and promote the maintenance of relationships of dependence that will enable this feedback from the capitalist system. The study methodology is based on bibliographical research with a descriptive approach. From the research it was found that hyperconnection in digital media goes far beyond the implicit collection of data that is used to perpetuate the system. Social networks keep people in their comfort zone with superficial interactions that do not create intimacy or deep friendships, generating feelings of loneliness and reduced relationships. The exposure of intimacy becomes an attraction to keep internet users connected, isolated and lonely for long periods, influencing the way they think and act, consolidating the paradox of surveillance capitalism.
Desafios da gestão contra a evasão escolar dos anos iniciais do ensino fundamental das escolas públicas
(Universidade Federal de São Carlos, 2024-09-04)
Oliveira, Verônica Heloisa
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Reis, Denise Maria
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https://lattes.cnpq.br/1224343794340576
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https://orcid.org/0000-0001-9172-3711
A evasão escolar nos anos iniciais do ensino fundamental refere-se ao abandono ou à ausência prolongada discente das atividades escolares e é um fenômeno que pode ocorrer por diversas razões com impactos significativos para os estudantes, para a instituição escolar e para a sociedade. O presente artigo tem como objetivo compreender os desafios do cotidiano da gestão escolar em relação a essa temática, em especial, nas escolas públicas, por meio de pesquisa bibliográfica e análise qualitativa. Os resultados indicam que a evasão escolar é uma combinação de fatores individuais, familiares, institucionais e políticos. Soluções de enfretamento eficazes parecem exigir da equipe gestora uma abordagem abrangente e integral que contemple todos esses aspectos, além de estratégias flexíveis, devolutivas constantes e de levar em conta as potencialidades dos estudantes para favorecer a permanência e o êxito estudantis.
Refinando a experiência de busca: uma análise detalhada de algoritmos de classificação e estratégias de ranqueamento
(Universidade Federal de São Carlos, 2024-09-04)
Sousa, Emilia Silva de
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Lucrédio, Daniel
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https://lattes.cnpq.br/9090396559596221
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https://orcid.org/0000-0002-1360-4036
In recent years, an online presence has become indispensable for organizations and individuals seeking visibility and relevance in an increasingly digital environment. Ranking algorithms are the backbone of modern search engines, shaping the user experience by prioritizing and presenting information efficiently. In this context, search engine optimization (SEO) emerges as an essential tool for achieving and maintaining a prominent position in online search engines. This study addresses the relevance of ranking algorithms and SEO techniques to optimize the visibility and position of web pages in search engine results.
Reaproveitamento de refratário Al2O3-ZrO2-SiO2 (AZS) como agregado em concretos aluminosos
(Universidade Federal de São Carlos, 2024-09-04)
Xaraba, Julia Alves
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Bezerra, Breno Parente
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Luz, Ana Paula da
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https://lattes.cnpq.br/3470395641242374
The refractory industry plays a significant role in various industrial sectors, being essential for production processes conducted at high temperatures and under adverse conditions, such as in the presence of corrosive environments, high mechanical wear, and involving substantial deformations and stresses. However, these ceramics have a limited service life, generating waste that is currently underutilized and applied in situations that do not take advantage of the high added value of these materials. This study evaluated a potential alternative for better waste management. For this purpose, the effects of incorporating different amounts of recycled alumina-zirconia-silica (AZS) refractory aggregate (originating from the glass industry) into alumina-based concretes were investigated. Initially, the recycled aggregate was characterized regarding its chemical composition and the crystalline phases present. Subsequently, various castables were prepared and evaluated for their flowability, apparent porosity and density, linear dimensional variation, flexural strength, and thermal shock resistance. After firing at 1400°C, an increase in mechanical strength was observed in the composition containing 10 wt.% of recycled AZS aggregates (44.50 MPa) compared to the reference castable (23.73 MPa). Additionally, higher thermal shock resistance was obtained for the composition containing 5 wt.% of recycled aggregates, with a decrease in samples’ stiffness of only 13.31% after 10 thermal shock cycles (ΔT ~ 1000°C). Thus, this work demonstrates the potential for reusing alumina-zirconia-silica refractories at the end of their service life, as they can be incorporated as recycled aggregates into alumina-based refractory castables, providing benefits to the properties of these products.
“Em busca de um patrocínio”: uma análise sobre o produto “relacionamentos sugar” em mídias digitais brasileiras
(Universidade Federal de São Carlos, 2024-09-04)
Barbosa, Bruno Henrique Benichio Alves
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Leite Júnior, Jorge
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ttp://lattes.cnpq.br/7253561448346772
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https://orcid.org/0000-0001-6234-9169
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https://lattes.cnpq.br/6247043084122986
Relationships that combine financial support and affective exchange have been extensively studied in national and international research on sexual economies. With the popularization of digital media in Brazil over the last decade, this relationship model has spread through online dating services that use terms such as “sugar relationships”, “sugar daddies” and “sugar babies” to refer to a type of affective-sexual engagement in which wealthy men provide financial support to women. Drawing on theoretical frameworks from gender and sexuality studies and on methodological approaches used in ethnographies in digital contexts, this study interviewed nine sugar babies, analyzed advertisements from two sugar dating websites and one hundred female profiles registered on these sites, as well as the content of two digital influencers engaged in the sugar theme. In this vein, the research: I) Mapped the profiles of the women interviewed and those registered on two sugar dating websites from an intersectional perspective and reflected on their experiences in these engagements in terms of intertwined inequalities of class, gender, race, age, body, and region; II) Examined the meanings they insert into the ideal sugar baby model conveyed by the websites; III) Explored their purposes for seeking these relationships; and IV) Analyzed the business model of these platforms. Overall, the research sheds light on an emerging segment of commercial exploration in the line of dating websites and applications that circumvent unequal scenarios through ideals of entrepreneurship and female empowerment. In this sense, it can contribute to future research on sexual economies, power relations, and their processes of platformization and mediatization in line with neoliberalism.
Algoritmos racistas: a representação das crianças negras da educação infantil nos bancos de imagens digitais
(Universidade Federal de São Carlos, 2024-09-04)
Silva, Gabriela Barbosa da
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Camargo, Andreia Regina de Oliveira
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https://lattes.cnpq.br/0936098182171676
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https://orcid.org/0000-0002-1158-2814
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Santos, Maria Walburga dos
This study investigated racial presence and representativeness in images related to early childhood education available on digital image banks such as Unsplash, Freepik, Pexels, and Pixabay. The primary objective was to determine whether search algorithms, potentially imbued with racial bias, influence the representation of Black children in early childhood education and contribute to the perpetuation of racism. The methodology involved mapping and analyzing images obtained from searches using terms such as "Early Childhood Education," "Daycare," "Young Child," "Child," "Black Child," and "Preschool." The research addressed concepts of algorithmic oppression and algorithmic racism, discussing the importance of an anti-racist early childhood education. The results revealed a predominance of images of white children, with limited representation of Black children. Searches for terms like "Daycare" and "Early Childhood Education" yielded a significant number of images featuring white children. In contrast, images of Black children, when found, often depicted them in a negative light or with serious expressions. This qualitative and documentary-focused research raises the following question: What are the social and pedagogical implications of stereotypical or negative representations of Black children in the context of early childhood education linked to digital image banks? The study aims to promote reflection on how the absence or under-representation of Black children can impact their self-esteem and identity, sustaining prejudices and creating an unequal educational environment. This study suggests that search algorithms in digital image banks may reinforce a Eurocentric view of early childhood education, preserving and reproducing racial exclusion in various contexts where these images may be shared and/or commercialized.
Modificação superficial de polímeros via feixe de elétrons e plasma
(Universidade Federal de São Carlos, 2024-09-04)
Bozzo, Luíza Melchert
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Cruz, Sandra Andrea
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https://lattes.cnpq.br/9632409046763256
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https://orcid.org/0000-0002-5548-0166
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Homem, Manoel Gustavo Petrucelli
Polymers have gained a significant foothold in the technology market due to their advantages over other materials such as steel, aluminum, and glass, particularly in terms of weight and cost. Additionally, they offer high versatility thanks to characteristics such as high mechanical and chemical resistance, ease of handling due to their flexibility, the possibility of adding additives, and recyclability. In this context, surface modification plays a crucial role in expanding the versatility of these materials and in the development of new technologies, as it allows new properties to be conferred to polymers without altering their bulk properties. In other words, it is possible to modify the polymer surface without the need to develop an entirely new material. In this way, surface modification techniques can enhance properties such as surface energy, wettability, and adhesion, thereby expanding the range of industrial applications. Among the surface modification techniques, plasma-based methods and irradiation with charged particle beams, particularly electrons, stand out. The first method offers advantages such as operational simplicity and low cost, with particular emphasis on the use of cold plasma. On the other hand, charged particle beam irradiation, although more complex, provides greater control over the reaction mechanisms involved, particularly when using low-energy beams (E < 20-30 eV), allowing modification of only the material’s surface.
Trajetória da riqueza, composição em espécies e grupos funcionais de aves ao longo de 14 anos numa extensa área restaurada
(Universidade Federal de São Carlos, 2024-09-04)
Oliveira, Yasmin Carolina Lopes de
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Souza, Andréa Lúcia Teixeira de
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https://lattes.cnpq.br/5216112068627151
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https://lattes.cnpq.br/6185779921525238
Riparian environments have high habitat heterogeneity and species diversity, contributing significantly to regional biodiversity. The composition and structure of bird communities can respond rapidly to changes in forest structure throughout succession, and can thus be a good indicator of ecosystem restoration. Thus, the objective of this study was to evaluate changes in the terrestrial bird community that occurred annually over a 14-year period since the first inventory conducted in 2009, and to evaluate the effect of forest restoration actions on the richness, species composition and characteristics of avifauna in a restored area on the banks of the Anhanguera Small Hydroelectric Plant (SHP) reservoir. The Anhanguera Small Hydroelectric Plant (SHP) is located on the Sapucaí Mirim River, in the northeastern region of the state of São Paulo. The terrestrial avifauna survey was carried out in the riparian forests surrounding the Anhanguera Small Hydroelectric Plant (SHP) reservoir, taking into account the remaining forest fragments and in the forest restoration areas comprising a total area of approximately 70 ha. Terrestrial bird species were characterized according to their diet, forest dependence and foraging stratum. Our results showed that forest restoration actions resulted in a significant increase in bird species richness and similarity in species composition after 14 years. The increase in bird richness was strongly dependent on the increase in biomass of individual tree species over time. The proportion of species with high and medium forest dependence and the proportion of birds foraging in tree canopies increased strongly in the restored area over time. We also detected a significant increase in frugivorous birds and the emergence of nectarivores, suggesting that restoration after 14 years follows a trajectory towards reference forests. Our results showed that bird species composition varied greatly throughout the development of the forest, from the restoration action towards the reference areas. Identifying changes in species composition and functional groups of birds can help guide forest recovery and conservation actions for tropical birds.
A produção bovina e sua relação com o PIB municipal no estado de Rondônia: Uma avaliação por meio de análise exploratória de dados espaciais
(Universidade Federal de São Carlos, 2024-09-04)
Oliveira, Matheus Sápiras de
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Carrara, Aniela Fagundes
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https://lattes.cnpq.br/2348376949393246
The present study aims to perform a spatial analysis of cattle production in Rondônia in order to assess whether such activity presents spatial concentration and whether there is a spatial relationship between this activity and the economic growth of the municipalities. In order to achieve this objective, descriptive statistics analysis was used, as well as Exploratory Analysis of Spatial Data (AEDE), using as a basis data on cattle production for each municipality of Rondônia, as well as municipal data on GDP and GDP per capita for that state. As the main results obtained, it was possible to find spatial autocorrelation for cattle production and GDP per capita among the municipalities, although not uniformly within the state.
Adaptação dos algoritmos ROCKET e MiniRocket para classificação de tumores cerebrais
(Universidade Federal de São Carlos, 2024-09-04)
Arcencio, Guilherme Gomes
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Levada, Alexandre Luis Magalhães
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https://lattes.cnpq.br/3341441596395463
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https://lattes.cnpq.br/5079378686582819
One of the main methods of brain tumor diagnosis is the magnetic resonance imaging of a patient’s head. Identifying a tumor’s type using those images is important for its adequate treatment, and one of the most relevant means of automating this process is the use of Machine Learning, in particular deep learning and convolutional neural networks. However, those models may be expensive in terms of training time and data. Therefore, this work proposed the adaptation of two time series classification algorithms to the image classification task: ROCKET and MiniRocket, which do not employ deep learning. We showed that, in spite of simplistic experimental procedures presented throughout most of the literature, both proposed algorithms exhibit state of the art performance and, furthermore, MiniRocket requires a fraction of convolutional networks’ training time to achieve great results.
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
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https://orcid.org/0000-0003-1207-4982
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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
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https://orcid.org/0000-0001-5010-747X
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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
;
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.