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O Repositório Institucional da UFSCar (RI UFSCar) é um sistema de informação que visa armazenar, preservar, organizar e disseminar amplamente a produção intelectual dos diversos setores e segmentos da comunidade da UFSCar, provendo o acesso aberto à informação produzida na instituição e registrada como científica, tecnológica, didática, artístico-cultural e técnico-administrativa.

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Modelos para séries temporais com dados discretos
(Universidade Federal de São Carlos, 2026-03-19) Cherobim, Guilherme de Oliveira; Andrade Filho, Marinho Gomes de; http://lattes.cnpq.br/4126245980112687; https://orcid.org/0000-0002-7224-7585; http://lattes.cnpq.br/8154297786821127; https://orcid.org/0000-0001-8428-0414; Andrade Filho, Marinho Gomes de; Sáfadi, Thelma; Silva, Danilo Alvares da; http://lattes.cnpq.br/4126245980112687; http://lattes.cnpq.br/9821585244827807; http://lattes.cnpq.br/6725871336446527; https://orcid.org/0000-0002-7224-7585; https://orcid.org/0000-0002-4918-300X
Time series for discrete data are frequently encountered in various practical applications. In many cases, the data exhibit changes in the frequency of zeros, such as inflation or deflation, and need to be properly handled. To accommodate such characteristics, this work proposes the GARMA Zero-Modified Discrete model family. The major methodological difference is the incorporation of a dynamic and time-variable zero-modification parameter, allowing the model to transition to different zero-modifications at each instant in time. As a main contribution, the GARMA Zero-Modified Skellam model is presented, which extends the formulation to encompass time series in the set of integers. Under the Bayesian paradigm, inference and parameter estimation are performed using the Stochastic Gradient Monte Carlo Hamiltonian algorithm. Sampler efficiency was evaluated in simulation studies for parameter recovery. The applicability and versatility of the models are illustrated in the analysis of three real datasets with distinct behaviors. The results demonstrate that the proposed models adequately capture the structural and dynamic changes in the series' zero modifications, also showing good predictive capacity.
Os campos de experiência nas aulas de educação física na educação infantil: narrativas de um professor pesquisador
(Universidade Federal de São Carlos, 2026-02-07) Assis, Luiz Henrique do Nascimento; Godoi Jacomassi, Daniela; http://lattes.cnpq.br/7699007812483790; http://lattes.cnpq.br/8304860992796713; https://orcid.org/0009-0004-4315-0030; Souza Junior, Osmar Moreira de; Vargas, Aline Fernanda Ferreira; http://lattes.cnpq.br/9176123942671062; http://lattes.cnpq.br/6755721553720775
This research emerged from the researcher's teaching trajectory and engaged with normative documents in the field, the Brazilian National Common Curriculum Base (BNCC, 2017), and studies that discuss space as a pedagogical element. Therefore, the objective of this research was to understand the process of developing and implementing a didactic unit, carried out in spaces "beyond the sports court," in Physical Education classes for students in Early Childhood Education, considering its articulation with the fields of experience foreseen in the BNCC (2017). Methodologically, a teacher-researcher's narrative was used as a qualitative approach, through classroom diaries produced after each intervention, video recordings, and systematic observations of daily school life. This study was developed in a Municipal Early Childhood Education School (E.M.E.I.) of the Municipal Education Network of Carapicuíba, located in the State of São Paulo. The target audience for the research was the Preschool II classes, with children aged 4 to 5 years and 11 months, comprising 40 children in the research group. The results showed that the use of spaces beyond the playground, such as the patio, lawn, corridors, and outdoor areas, expanded the pedagogical possibilities of Physical Education in Early Childhood Education. The children demonstrated high engagement, creativity, autonomy, and the ability to reinterpret environments, while developing motor, expressive, and socio-emotional skills foreseen in the BNCC (2017) Fields of Experience. The analyses also revealed that physical space, when understood as a pedagogical object, acts as a mediator of interactions, playful exploration, and the construction of meaning by children. The narrative writing of the teacher-researcher was configured as a central formative and analytical tool, allowing the identification of nuances in the educational process, daily challenges, and opportunities for pedagogical reinvention. Among the main challenges, the structural limitations of school spaces, the constant need for methodological adaptations, and the interferences resulting from sharing environments with other classes stood out. Even so, these challenges did not compromise the objectives of the proposal; on the contrary, they reinforced the importance of teacher intentionality and the valuing of childhood culture. It is concluded that pedagogical practice that extends "beyond the playground" promotes meaningful and contextualized bodily experiences, contributing to the integral development of children and to the strengthening of Physical Education in Early Childhood Education. The research points to the need for institutional investment in qualified environments, as well as for the development of new investigations that explore different scenarios, participatory methodologies, and the voice of the children themselves.
Percepções de indivíduos com Transtorno do Espectro Autista sobre jogos digitais: perspectivas centradas no usuário
(Universidade Federal de São Carlos, 2026-02-26) Thomazini, Eduardo; Pedro, Ketilin Mayra; http://lattes.cnpq.br/0991868156805558; https://lattes.cnpq.br/2826480627292462; Pedro, Ketilin Mayra; Gonçalves, Adriana Garcia; Hummel, Eromi; http://lattes.cnpq.br/0991868156805558; http://lattes.cnpq.br/3907378784787581; http://lattes.cnpq.br/0729013084742634
Digital games, driven by technological advances and intensified by the COVID-19 pandemic, have been increasingly used. Among the different audiences, the community of people with Autism Spectrum Disorder (ASD) stands out, as these individuals have, over the years, shown great interest in the use of technologies, especially electronic games. With the increased access to technology and the internet in recent years, digital games have become more than mere entertainment, serving for many as spaces for socialization or even learning. Thus, the present research has the general objective of understanding the experience of people with ASD in commercial digital gaming environments and, as specific objectives, identifying the motivations of people with ASD regarding digital games and describing the positive and negative aspects of their experiences in these games. The study is characterized as exploratory, in which three young adults with ASD, aged over 18 and users of commercial digital games, were interviewed using a semi-structured interview guide. The data were analyzed based on the principles of content analysis. Regarding the results, it was observed that, for the participants, games provide much more than mere entertainment; since their first experiences with these products, these individuals have used them as a form of companionship, even when playing alone. They spend a large portion of their time in digital environments, which become means of social interaction. It was also noted that games promote learning and personal development for these individuals and are very important in their lives. The participants indicated that, although digital games may present potential harm and lead to social isolation when used inappropriately, they are, for them, beneficial, as they provide comfort and rest, allow socialization according to individual needs, stimulate the acquisition of knowledge and the exploration of new activities, and, moreover, enable the establishment of new friendships. Furthermore, the research highlighted relevant aspects of the participants’ use of digital games, such as emotional regulation, personal development, entertainment, and social interactions according to their individual needs, emphasizing the importance of these products in their lives and thus presenting potential to serve as a basis for future research on the emerging use of digital games by people.
Efeito residual de inseticidas aplicados via tratamento de sementes no controle de Dalbulus maidis
(Universidade Federal de São Carlos, 2025-12-09) Mendonça, Stéfany Lauren; Marques, Rodrigo Neves; http://lattes.cnpq.br/8945237946471247
The corn leafhopper, Dalbulus maidis (DeLong & Wolcott, 1923), is one of the most critical phytosanitary challenges in maize production, particularly due to its ability to transmit mollicutes and viruses associated with the maize stunt complex. The increase in its incidence is closely linked to intensified cropping systems, the persistence of volunteer plants, and the continuous availability of suitable hosts. In this context, seed treatment with systemic insecticides represents an important strategy to protect maize during the early growth stages, although the persistence of its protective effect remains poorly understood. This study evaluated the mortality of D. maidis on maize plants originating from seeds treated with thiamethoxam and thiamethoxam + lambda-cyhalothrin across three consecutive exposure periods, totaling twelve days of assessment. The experiment was conducted under greenhouse and laboratory conditions, using individual confinement cages, ten replicates per treatment, and periodic replacement of insects every 96 hours. Mortality was recorded at 24, 48, 72, and 96 hours within each period, and data were analyzed using generalized linear models with a binomial distribution, along with mortality correction. The results showed that both insecticides caused high mortality only during the first period, with reductions exceeding 45% after 72 and 96 hours, whereas no statistical differences from the control were observed in the subsequent periods. The sharp decline in mortality across later periods revealed the rapid reduction of residual activity, associated with plant physiological dynamics and inherent limitations of systemic insecticides. Thus, the limited persistence of these products highlights the need for complementary and well-planned management strategies, particularly in regions with a history of maize stunt diseases and reinforces the importance of understanding this temporal dynamic to support more precise agronomic decision-making and reduce the epidemiological risks associated with the corn leafhopper.
Predição conforme para dados composicionais
(Universidade Federal de São Carlos, 2026-02-24) Amaral, Lucas Pereira do; Pereira , Gustavo Henrique de Araújo; http://lattes.cnpq.br/4536501674241631; http://lattes.cnpq.br/5766650248246940; Carvalho, Helton Graziadei de; Magalhães, Tiago Maia; http://lattes.cnpq.br/8787163012039005; http://lattes.cnpq.br/7953363504273397
Dirichlet regression models are suitable for compositional data, in which the response variable represents proportions that sum to one. However, there are still no well-established methods for constructing valid prediction sets in this context, especially considering the geometry of the compositional space. In this work, we investigate conformal prediction-based strategies for constructing valid predictive regions in Dirichlet regression models. We evaluate three distinct approaches: a method based on quantile residuals, an approximate construction of highest density regions (HDR), and an adaptation of the approximate HDR using grid-based discretization over the simplex. The performance of the methods was analyzed through simulation studies under different scenarios, varying the model complexity, response dimensionality, and covariate structure. The results indicated that the HDR approximation approach exhibits good robustness in terms of coverage, while the grid discretization proved effective in reducing overcoverage and the area of the prediction region compared to the original method. The quantile method provided larger prediction regions compared to the grid method, while maintaining adequate coverage. The methodologies were also applied to two real datasets: one concerning sleep stages and another on biomass allocation in plants. In both cases, the proposed methods demonstrated practical feasibility and produced coherent interpretations within the compositional space. Finally, we discuss possible extensions of this work.