Repositório UFSCar

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.

Para mais informações, acesse: RI UFSCar

Instruções aos autores: Clique aqui.

Comunidades

Selecione uma comunidade para navegar por suas coleções

Agora exibindo 1 - 5 de 5

Submissões Recentes

A alfabetização de crianças no espectro autista: desafios e possibilidades à luz da literatura
(Universidade Federal de São Carlos, 2025-12-17) Santos, Natália Amaro dos; Dainez, Débora; http://lattes.cnpq.br/4671868444231806; https://orcid.org/0000-0002-8223-098X
This research aims to identify and analyze scientific publications on the literacy of students with autism spectrum disorder in journals in the field of Special Education, in order to understand the possibilities and challenges involved in this process. To this end, a bibliographic survey was conducted in 6 Special Education journals published between 2002 and 2025. The analysis of the results showed that most of the studies found focus on alphabetic systems; that is, the methodological focus on the code predominates in the literacy of students with autism spectrum disorder. It is considered that there is still a long way to go regarding the production of scientific knowledge on the literacy of students with autism spectrum disorder and methodologies that are inclusive, critical, and effective. This requires putting into perspective the pedagogical conception that underpins the teaching and learning process in the school context, as well as the concrete working conditions of the literacy teacher.
Fim iminente de um bioma? O avanço das queimadas no Pantanal brasileiro em um cenário de crise climática global
(Universidade Federal de São Carlos, 2025-11-24) Silva, Amanda Teles da; Sanches, Alexandra; http://lattes.cnpq.br/4999886032379825; https://orcid.org/0000-0002-0349-9228; http://lattes.cnpq.br/3212910963358145
The Pantanal has been subjected to increasing anthropogenic pressures, further exacerbated by extreme events driven by human activity. Since 2020, the occurrence of severe and recurrent fires has heightened concerns regarding environmental impacts and the implications for the conservation of the biome. This study aimed to analyze, based on the available literature, the context and effects of wildfires in the Brazilian Pantanal within a scenario of global climate crisis, identifying their main consequences and the future prospects for conservation.The study was conducted through a bibliographic review encompassing scientific articles, technical reports, official documents, and governmental and academic databases. The results indicate that the combination of more severe droughts, climate change, land-use transformations, and the expansion of human activities has contributed to the increased frequency and intensity of fires, thereby compromising the ecological resilience of the biome. Among the observed impacts, biodiversity loss, habitat degradation, and the reduction of flooded areas stand out.Thus, it is understood that the existing response mechanisms remain insufficient in the face of the magnitude of contemporary pressures, making the implementation of integrated public policies and evidence-based management strategies essential to ensure the conservation and ecological integrity of the Pantanal in the coming decades.
Um sistema de armazenamento e distribuição de dados georreferenciados para o Programa Bioma Stats
(Universidade Federal de São Carlos, 2025-12-05) Marques, Gustavo Bilia; Ferreira, Iuri Emmanuel de Paula; http://lattes.cnpq.br/5965827433093415
With the increasing volume of environmental data and the growing demand for effective and accessible tools to work with spatial information, the development of systems that improve the access to and processing of georeferenced data is essential. In this context, Bioma Stats emerges as an open-source tool built in the R language, aiming to centralize and automate environmental analyses. Executing the Bioma Stats workflow in its first version required manually downloading its database directly from the MapBiomas platform, forcing users to download the entire collection of land use and land cover data for Brazil and overloading their machines with unnecessary storage demands for analyzing their specific area of interest. Therefore, this work presents the implementation of a georeferenced data storage and distribution system that operates through a RESTful API developed using Node.js, Express, and MySQL. The system orchestrates the selective delivery of only the data corresponding to the user's territorial fragments of interest, which are stored in the cloud, thus replacing the dependency on centralized servers. The approach of using HTTP requests for communication between systems validates the integration between the R environment and the web API. The results demonstrate a significant improvement in download time compared to the traditional method, as well as greater system resilience and optimization of computational resource usage.
Análise de uso e ocupação do solo no município de Itapetininga-SP a partir do Programa Bioma Stats
(Universidade Federal de São Carlos, 2025-12-05) Santos, Luis Rodrigo Vieira dos; Ferreira, Iuri Emmanuel de Paula; http://lattes.cnpq.br/5965827433093415
The landscape is the result of the interaction between biological, physical, and human factors, with soil as one of its central elements. Over time, different forms of land use and occupation have shaped and transformed the Brazilian agricultural landscape. In this context, understanding the evolution of the landscape, land use, and occupation is essential for interpreting environmental and agricultural dynamics. The objective of this study was to quantitatively analyze the land use and occupation profile in the municipality of Itapetininga- SP, from 1985 to 2020, through the analysis of images from the MapBiomas database, using the Bioma Stats tool, based on the R programming language. The results indicated relevant changes in land use in the municipality, notably an increase in areas used for soybean production from 671.9 ha in 1985 to 28,890.7 ha in 2020 and a reduction in pasture areas from 82,366.40 ha in 1985 to 36,112.90 ha in 2020. It was found that most of the changes occurred due to changes in land use and occupation patterns, and not necessarily due to the opening of new areas or the deforestation of native areas to meet the new agricultural model. There was also a significant increase in areas devoted to planted forests, from 7,397.62 ha in 1985 to 24,262.05 ha in 2020, evidencing a reconfiguration in the agricultural and environmental use of the territory.
Plataforma de modelagem baseada em agentes (ABM) em R: simulação de abundância e revisão de métodos de controle de Sus scrofa
(Universidade Federal de São Carlos, 2025-12-09) Bassani, Vittoria Façanha; Ferreira, Iuri Emmanuel de Paula; http://lattes.cnpq.br/5965827433093415
The wild boar (Sus scrofa ) is considered one of the most impactful invasive species in the world, causing both environmental and economic damage. Control strategies for this animal have proven ineffective, often based on methods lacking adequate population monitoring and scientific basis. This work aimed to present an agent-based computational platform (ABM) developed in R, which performs fauna monitoring simulations via camera traps. The species Sus scrofa was chosen as a case study in a region of southwestern São Paulo state. 40,000 agent trails, representing herds of wild boars, were simulated, and the performance of Random Encounter Models (REM) in estimating population density was evaluated. The results revealed that the use of exclusion windows, a common practice in camera trapping studies, tends to overestimate population density and reduce agreement with real values, contradicting bibliographic recommendations. Furthermore, landscape structure was a determining factor in the accuracy of the estimates. In parallel, a review of control and monitoring methods highlighted the difficulty of controlling the species in Brazil. It is concluded that the MAB platform represents a promising tool for optimizing monitoring studies and that the effective management of Sus scrofa requires a transition to evidencebased strategies, integrating precision monitoring, predictive modeling, and planned control.