
Principais Coleções do Repositório
Submissões Recentes
Livro
Extensão em direito previdenciário: desafios tecnológicos e experiências
(Editora UFLA, 2026-09-10) Rainer Bomfim; Pedro Henrique de Oliveira
...
dissertação
Mapeamento de processos como estratégia para a gestão patrimonial em uma superintendência regional de ensino do estado de Minas Gerais
(Universidade Federal de Lavras, 2026-06-26) Silva, Karla Daniele Soares; Oliveira, Denis Renato; Barbosa, Deborah Mara Siade; Ferolla, Luna Marques
The general objective of this research is to analyze the influence of process mapping techniques on improving the asset management of permanent goods acquired by state schools within a Regional Superintendence of Education in the State of Minas Gerais, Brazil. More specifically, the study aims to map and validate the current asset management process (AS-IS) of a Regional Superintendence of Education in Minas Gerais; analyze the main challenges of the current asset management process for goods acquired by School Funds, considering the theoretical approach of state capacity; optimize the asset management process through the design of a future-state process (TO-BE); and identify, based on managers’ perceptions, the influence of the new process on the efficiency of asset management in schools.This research is exploratory and descriptive in nature and adopts a qualitative approach. The study employs document analysis, action research, and interviews as data collection methods. Interviews were conducted with the Coordinator of the Asset Management Directorate of the State Department of Education (SEE/MG), the Financial Director of a Regional Superintendence of Education in Minas Gerais, the Coordinator of the Asset Management Sector of a Regional Superintendence of Education, and the principals of 17 state schools belonging to a Regional Superintendence of Education in Minas Gerais.The results revealed that the current asset management process presents weaknesses related to excessive bureaucracy, delays in process execution, insufficient continuous monitoring, inconsistencies in asset records, difficulties in formalizing donations, limitations in inventory and asset disposal processes, and shortcomings in the coordination among schools, the Regional Superintendence of Education (RSE), and the State Department of Education (SEE/MG). From the perspective of the state capacity approach, it was found that although financial resources, legal frameworks, and institutional structures are available, challenges persist in the legal, administrative, political-relational, and public policy dimensions, compromising the effectiveness of asset management.The mapping and validation of the current process (AS-IS) enabled the identification of operational bottlenecks and opportunities for improvement, providing support for the redesign of the future-state process (TO-BE). The proposed model incorporated mechanisms for continuous monitoring, clear definition of responsibilities, standardization of procedures, and strengthening of asset control practices. According to the perceptions of the managers interviewed, the redesigned process has the potential to increase efficiency, transparency, traceability, and reliability of asset information, contributing to the reduction of inconsistencies and the improvement of public asset management in state schools. As a contribution, the research offers an asset management model based on process mapping, applicable to the context of state schools in Minas Gerais, while also expanding the understanding of asset management from the perspective of state capacity. The findings provide support for improving control mechanisms, monitoring practices, and decision-making processes in educational public administration, thereby contributing to the strengthening of administrative efficiency, transparency, and asset governance.
dissertação
Política pública de regionalização do turismo: um olhar sobre os circuitos Encantos de Minas e Trilha dos Inconfidentes
(Universidade Federal de Lavras, 2026-05-29) Carvalho, Taísa Barbosa; Chiodi, Rafael Eduardo; Anjos, Mark Pereira dos; Silveira Junior, Wanderley Jorge da
This study analyzes the implementation and development processes of the Região Encantos de Minas and Trilha dos Inconfidentes Tourist Circuits, among the 48 tourist circuits established in the state of Minas Gerais, Brazil. Tourism has increasingly consolidated itself in Brazil as a sector capable of generating social and economic benefits. In this context, the research aimed to examine aspects related to the tourism regionalization policy in Minas Gerais through the analysis of these two case studies, as well as to understand how their associations contributed to this process through interactions with public authorities and other social actors, in addition to identifying the challenges faced between 2001 and 2024. A qualitative approach was adopted, using the case study method and relying on both primary and secondary data sources. Primary data were collected through semi-structured interviews conducted with current and former members of the associations responsible for promoting the studied circuits. Secondary data sources included documents, meeting minutes, internal regulations of the associations, and literature review. The results indicate that the establishment of a public policy by the state, without adequate technical and financial support, does not guarantee its effectiveness or success. The Trilha dos Inconfidentes Circuit Association achieved greater progress in its activities over the years; however, the Região Encantos de Minas Association faced greater difficulties, and its progress was more limited and occasional.
dissertação
Aplicação de métodos baseados em lógica fuzzy e de aprendizado de máquina para a previsão de preços de commodities
(Universidade Federal de Lavras, 2026-02-06) Souza, João Vitor Andrade Alves de; Pereira, Geraldo Magela da Cruz; Simão, Sérgio Domingos; Silva, Gabi Nunes; Oliveira, Anderson Castro Soares de
Corn and soybeans are two of the main agricultural commodities in Brazil, playing a strategic role in the Brazilian economy. Forecasting their prices is of utmost importance to support decision-making in the agro-industrial sector. This study aims to evaluate the use of Fuzzy Time Series (FTS) methods for forecasting the prices of these commodities, considering univariate and multivariate approaches. These models were applied and compared to Machine Learning (ML) algorithms, such as Random Forest, XGBoost, LightGBM, among others. The dataset used in the first article comprises daily corn price data for the period from 2007 to 2025, in the state of Minas Gerais, with three subsets, beginning in 2007, 2014, and 2021. The data used in the second article refer to the global price of soybeans, other commodities, and their derivatives, collected monthly from 1960 to 2025. After partitioning the data into training and test sets, the FTS models and machine learning algorithms were trained and evaluated on the test set. Performance evaluation metrics were used, such as Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), Mean Directional Accuracy (MDA), among other measures widely used in the evaluation of forecasting models. In the univariate case, the results indicate that the Probabilistic Weighted FTS (PWFTS) model presented the best performance, with lower forecasting errors and higher directional accuracy when trained with data beginning in 2014, and with a one-day forecasting horizon. In contrast, the high order FTS (HOFTS) and Weighted HOFTS (WHOFTS) models presented slightly lower performance than that observed for PWFTS. Nevertheless, HOFTS and WHOFTS maintained consistent performance, although with variations among the different training strategies used. For the multivariate case, the results indicated that the models based on fuzzy logic, especially the Weighted Multivariate FTS (WMVFTS) with 20% of test data and 60 partitions, obtained the best overall performance, presenting the lowest forecasting errors and high directional accuracy. It is concluded that Fuzzy Time Series methods constitute a good alternative for forecasting agricultural commodity prices, proving to be suitable both in univariate and multivariate contexts and at different time scales.
Artigo
Comparação de recursos pedagógicos em ações de educação alimentar e nutricional com crianças
(2022-11-21) Inácio, Monique Louise Cassimiro; Santos, Anabele Pires; Pereira, Rafaela Corrêa; Pereira, Michel Cardoso de Angelis
Food and Nutrition Education (FNE) has become an important strategy designed to promote better food choices and to prevent diseases. The aim of this study was to evaluate three pedagogical resources used in FNE interventions. Fifty-six children were invited to participate. They were divided into three groups. After applying exclusion criteria, the group division were A (n = 20), B (n = 12) and C (n = 13). The study consisted of: initial assessment (t = 0), interventions, second assessment (t = 1) and third assessment performed three weeks later (t = 2). To evaluate the interventions outcomes, it were used 24h food recall and questionnaire. Each group received an intervention based on different theory. The lecture represented the traditional pedagogy. Workshop for juice elaboration was developed through bases of Johaan Henrich Pestalozzi’s theory and the history book, contemplated bases of theoretical framework of Paulo Freire. The results showed, in general, all interventions got great outcomes in increasing the level of knowledge about food and nutrition, however the lecture and the development of a juice using the bases of the intuitive method proposed by Pestalozzi, respectively, showed lower levels of forgetfulness.
