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    <link>http://repositorio.ufgd.edu.br/jspui/handle/prefix/33</link>
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    <pubDate>Sat, 05 Sep 2026 00:31:45 GMT</pubDate>
    <dc:date>2026-09-05T00:31:45Z</dc:date>
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      <title>“Impactos das variáveis climáticas sobre a produtividade da soja e do milho no Brasil entre 2012 e 2024: evidências da adaptação climática"</title>
      <link>http://repositorio.ufgd.edu.br/jspui/handle/prefix/7054</link>
      <description>Título: “Impactos das variáveis climáticas sobre a produtividade da soja e do milho no Brasil entre 2012 e 2024: evidências da adaptação climática"
Autor(es): Morais, Leucivaldo Carneiro
Primeiro Orientador: Silva, Jonathan Gonçalves da
Abstract: Climate change represents one of the main challenges facing Brazilian agriculture, particularly strategic crops such as soybeans and corn, whose productivity depends directly on temperature and precipitation conditions. This dissertation aimed to analyze the impacts of climate variables on soybean and corn productivity in Brazil, considering potential nonlinear effects and evidence of climate adaptation from 2012 to 2024. Data were obtained from the IBGE System of Automatic Recovery (SIDRA/IBGE), the &#xD;
Brazilian National Institute of Meteorology (INMET), and the Agricultural Activity Guarantee Program (Proagro/MAPA), and organized into a panel dataset comprising 701 observations. The empirical strategy was based on the estimation of fixed-effects panel data models, including a baseline model, a climate nonlinearity model, and a climate adaptation model, selected through specification tests and evaluated through residual diagnostic tests. The results indicated that average temperature has a &#xD;
negative effect on agricultural productivity, whereas precipitation has a positive effect, with corn being the crop most sensitive to climate variations. In the baseline model, a 1°C increase in temperature was associated with an approximately 6.09% reduction in corn productivity, while a 1 mm increase in precipitation was associated with an approximately 0.31% increase in productivity. The nonlinearity models provided evidence of diminishing returns to precipitation for corn, but no robust evidence of &#xD;
temperature nonlinearity. For soybeans, no statistically significant nonlinear effects were identified. The climate adaptation model showed a partial reduction in corn vulnerability to the adverse effects of temperature over the period analyzed, suggesting that technological advances and improvements in agricultural management contributed to mitigating some of the negative climate impacts. For soybeans, &#xD;
however, no statistically significant evidence of climate adaptation was found. The findings indicate that climate change significantly affects Brazilian agricultural productivity, particularly corn production, reinforcing the need for public policies focused on climate adaptation, technological development, and strengthening the resilience of agricultural production systems in response to the increasing frequency &#xD;
of extreme climate events.
Editor: Universidade Federal da Grande Dourados
Tipo: Tese</description>
      <pubDate>Mon, 24 Aug 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufgd.edu.br/jspui/handle/prefix/7054</guid>
      <dc:date>2026-08-24T00:00:00Z</dc:date>
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    <item>
      <title>Atenção oncológica no sistema único de saúde em Mato Grosso do Sul: fluxos assistenciais, deslocamentos e desigualdades regionais</title>
      <link>http://repositorio.ufgd.edu.br/jspui/handle/prefix/6997</link>
      <description>Título: Atenção oncológica no sistema único de saúde em Mato Grosso do Sul: fluxos assistenciais, deslocamentos e desigualdades regionais
Autor(es): Lourenção,  Marcos Luís Faleiros
Primeiro Orientador: Nogueira, Maria Aparecida Farias de Souza
Abstract: This study analyzes the effects of the territorial distribution of oncology care services in Mato Grosso do Sul on the care pathway and displacement of patients undergoing treatment within the Brazilian Unified Health System (SUS), with an emphasis on the Southern Cone macroregion. Despite the relevance of the topic, there is a scarcity of in-depth analysis in health regions that integrates installed capacity, care flows, and patient displacement. This is a quantitative, descriptive, comparative, and spatial study, based on secondary data from the SIH, SIA, CNES, and IBGE systems from 2019 to 2024. Frequencies, rates, and locations of care were analyzed, including estimates of patient displacement. The results show a concentration of oncology services in the capital (Campo Grande), a lack of care in the Southern Cone region, and significant patient flows to other states (São Paulo and Paraná), which can exceed 900 km for continuous treatments (chemotherapy and radiotherapy). The scenario in the Southern Cone region represents a significant barrier that influences access and is reflected in clinical outcomes. There has been a 38% increase in cancer-related deaths in the state; among residents of the Southern Cone region, this increase is more pronounced, reaching 201%. There is a moderate correlation between the death rate and the distance traveled to treatment destinations. With an adjusted coefficient of determination (R²) of 26%, the study did not establish a definitive causal relationship between distances traveled and death rates, but it contributes by presenting relevant empirical evidence that can support decisions regarding network expansion, resource allocation, and reorganization of the oncology care pathway. The study suggests the need for short-term actions in the areas of prevention, early diagnosis, and timely treatment.
Editor: Universidade Federal da Grande Dourados
Tipo: Dissertação</description>
      <pubDate>Mon, 27 Jul 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufgd.edu.br/jspui/handle/prefix/6997</guid>
      <dc:date>2026-07-27T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Motivação e fatores de evasão nos cursos de negócios em uma universidade pública brasileira</title>
      <link>http://repositorio.ufgd.edu.br/jspui/handle/prefix/6996</link>
      <description>Título: Motivação e fatores de evasão nos cursos de negócios em uma universidade pública brasileira
Autor(es): Pontes,  Francielli de Oliveira Pereira
Primeiro Orientador: Mendonça, Jane Corrêa Alves
Abstract: Student dropout in higher education is a multifactorial phenomenon that compromises human capital development and the quality of the academic environment. This study aimed to identify and understand the factors associated with student dropout and the motivations underlying withdrawal among students enrolled in the Business Administration, Accounting, and Economics programs at the Federal University of Grande Dourados (UFGD), Brazil. Adopting a qualitative approach, the research was based on documentary analysis and interviews with students who withdrew from their programs between 2014 and 2024. The study was conducted in two stages: the first focused on identifying the factors associated with dropout, while the second examined the more recent motivations reported by former students. The findings indicate that dropout is a process of disengagement, often preceded by emotional distress, frustration with the dynamics of university life, and a perceived lack of belonging. Limited student assistance policies and socioeconomic challenges further intensify this process. The study concludes that student retention depends not only on institutional factors but also on subjective experiences of support, inclusion, and recognition. These findings highlight the need for public and institutional policies that integrate emotional support, academic guidance, and active listening in order to foster a more inclusive and transformative university environment.
Editor: Universidade Federal da Grande Dourados
Tipo: Dissertação</description>
      <pubDate>Wed, 29 Oct 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufgd.edu.br/jspui/handle/prefix/6996</guid>
      <dc:date>2025-10-29T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Construindo formas para análise de conteúdo: o plano plurianual participativo e o software Iramuteq em questão</title>
      <link>http://repositorio.ufgd.edu.br/jspui/handle/prefix/6995</link>
      <description>Título: Construindo formas para análise de conteúdo: o plano plurianual participativo e o software Iramuteq em questão
Autor(es): Garcia, Bruno Mazer
Primeiro Orientador: Riedo , Ijean Gomes
Abstract: This dissertation investigates the application of content analysis techniques using the IRAMUTEQ software for interpreting large volumes of textual data. The central objective is to analyze the use of the software in the categorization and interpretation of proposals submitted to the Participatory Multi-Year Plan (Plano Plurianual Participativo – PPA), as well as to systematically review its application in academic literature. The rationale for the research stems from the growing need for systematic and replicable methods for analyzing large qualitative data sets, especially in the context of public administration and social participation. To achieve the proposed objectives, two complementary studies were conducted. The first consisted of a systematic literature review, analyzing academic works that used the software for content analysis, allowing the identification of its main uses, advantages, and limitations. The second study involved the empirical application of the methodology to a real dataset composed of proposals submitted to the Brasil Participativo platform, enabling the identification of thematic patterns. The results showed that the software allows for efficient organization of textual data, enabling the automated categorization of information and ensuring transparency in data processing. Furthermore, limitations were observed related to the need to complement the automated analysis with qualitative interpretation by the researcher. The contributions of this study include the presentation of a &#xD;
systematized technique for qualitative analysis, applicable to both academic research and public management. Additionally, the study offers guidelines for future research, suggesting the combination of the software with other analytical approaches to enhance data interpretation. The findings reinforce the importance of using computational tools to optimize content analysis and broaden access to rigorous methods for large-scale text interpretation.
Editor: Universidade Federal da Grande Dourados
Tipo: Dissertação</description>
      <pubDate>Thu, 24 Jul 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://repositorio.ufgd.edu.br/jspui/handle/prefix/6995</guid>
      <dc:date>2025-07-24T00:00:00Z</dc:date>
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