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    <link>https://repositorio.ufba.br/handle/ufba/556</link>
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        <rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/44286" />
        <rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/44099" />
        <rdf:li rdf:resource="https://repositorio.ufba.br/handle/ri/44096" />
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    <dc:date>2026-04-17T11:37:00Z</dc:date>
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  <item rdf:about="https://repositorio.ufba.br/handle/ri/44286">
    <title>Bioprospecção de uma cianobactéria isolada no rio Joanes/BA para síntese de produtos visando aplicações biotecnológicas</title>
    <link>https://repositorio.ufba.br/handle/ri/44286</link>
    <description>Título: Bioprospecção de uma cianobactéria isolada no rio Joanes/BA para síntese de produtos visando aplicações biotecnológicas
Autor(es): Pinheiro, Maria Teresa Araujo
Primeiro Orientador: Sales, Emerson Andrade
Abstract: Cyanobacteria represent the most diverse group of photosynthetic organisms on the planet and hold high potential for the discovery of novel bioactive compounds. Their pigments have well-established applications in food and nutraceutical products and also serve as valuable sources of proteins and other biomolecules. These characteristics broaden their potential use in sectors such as biofuels, food, animal feed, and, more recently, in the emerging field of phyconanotechnology. In this context, the aim of this study was to isolate a cyanobacterial strain from a river located in northeastern Brazil, analyze its potential for cyanotoxin production, and evaluate its application potential for obtaining bioproducts such as phycocyanin and carotenoids, as well as for the synthesis of carbon dots from laboratory-cultivated biomass and post-extraction residual biomass.&#xD;
The strain was isolated using a thermal method. Identification was carried out through a polyphasic approach, and cyanotoxin production potential was assessed by molecular and chemical methods (PCR and LC-MS²). Cultivation and growth kinetics were conducted under controlled temperature and light conditions to produce biomass, which was subsequently used for phycocyanin extraction, carotenoid identification, and carbon dot synthesis from residual biomass after bioactive extraction.&#xD;
The isolated and laboratory-cultivated strain was identified as Leptolyngbya boryana and was non-toxigenic. Phycocyanin extraction followed a protocol combining different solvents with freeze–thaw cycles. The most efficient extraction method employed calcium lactate at pH 9.47, yielding the highest phycocyanin content (153.24 mg/g of biomass). HPLC analysis revealed the presence of echinenone and chlorophyll a homologs in the biomass. Additionally, carbon dots were synthesized via a hydrothermal process from the cultivated species’ biomass (both before and after bioactive extraction), as well as from Chlorella vulgaris for comparison. Characterization of the carbon dot nanomaterials showed high fluorescence, photostability, and consistent performance in potential applications such as bioimaging, fluorescent sensors, and optoelectronic devices. Overall, the results indicate that the identified L. boryana strain possesses significant biotechnological potential, both for the production of phycocyanin and carotenoids and for the generation of nanomaterials of interest, highlighting the prospects for valorizing biomass into high-value products and commercial applications.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Tese</description>
    <dc:date>2026-03-06T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufba.br/handle/ri/44099">
    <title>Estudo do estágio de maturidade da cultura de segurança de uma rede de revendas de GLP em Salvador - Bahia</title>
    <link>https://repositorio.ufba.br/handle/ri/44099</link>
    <description>Título: Estudo do estágio de maturidade da cultura de segurança de uma rede de revendas de GLP em Salvador - Bahia
Autor(es): Mendes, Allen Greyson Gomes
Primeiro Orientador: Gonçalves Filho, Anastácio Pinto
Abstract: The Liquefied Petroleum Gas (LPG) distribution industry in Brazil faces significant challenges regarding operational safety, particularly within reseller networks. Despite the product’s importance for the national energy matrix and both residential and commercial supply, incidents related to inadequate handling, lack of standardized procedures, and the low maturity level of safety culture are still recurrent in part of the sector. In this context, the present study aimed to study the maturity stage of the safety culture in an LPG reseller network located in Salvador, Bahia. The research is grounded in well-established theoretical models that conceptualize safety culture as a set of values, practices, and collective behaviors that evolve through maturity stages. A mixed-methods approach was employed, combining quantitative and qualitative techniques. Data collection involved questionnaires covering six dimensions (leadership, commitment, involvement, information, communication, and organizational learning), along with a documentary evidence checklist. The sample consisted of 289 workers from 82 reseller companies. Results indicated an intermediate stage of safety culture maturity, between the reactive and bureaucratic stages, with significant variations across sociodemographic and organizational profiles. Positive correlations were identified between safety culture maturity and education level, age, and length of employment. Smaller resellers demonstrated higher levels of safety culture maturity. The findings suggest that advancing the maturity of safety culture within resellers depends on consolidating clear policies, implementing continuous training programs, and strengthening safety-oriented leadership. Furthermore, the development of monitoring tools and performance indicators is recommended to systematically track safety culture progress. This study contributes to the understanding of the current panorama of safety culture in the LPG distribution sector and provides practical insights for managers seeking to enhance operational reliability and reduce risks associated with reseller activities.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</description>
    <dc:date>0004-02-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufba.br/handle/ri/44096">
    <title>Utilização da simulação no contexto da Learning Factory: aplicação inserida na fase 1 do gêmeo digital</title>
    <link>https://repositorio.ufba.br/handle/ri/44096</link>
    <description>Título: Utilização da simulação no contexto da Learning Factory: aplicação inserida na fase 1 do gêmeo digital
Autor(es): Araujo, Andressa Clara Barbosa de
Primeiro Orientador: Pimentel, Cristiane Agra
Abstract: Industry 4.0 has driven profound transformations in production models, standing out for the use of enabling technologies such as simulation and digital twins. In this context, the objective of this dissertation was to develop a computational model representing the manufacturing flow of a product in a Learning Factory, using simulation as Phase I of the Digital Twin. The study is justified by the growing demand for industrial digitalization and by the lack of practical cases of implementation of technologies such as Digital Twins, especially in low-automation environments. Thus, the research proposes the use of simulation as an initial stage for the development of digital twins in Learning Factories, contributing to local innovation and to applied studies in the field. Methodologically, the study adopted an applied and explanatory approach, with a quantitative basis and technical procedures involving case study and action research. Discrete-event simulation was employed using the FlexSim® software, version 24.2.1. The model development followed DMAIC methodology (Define, Measure, Analyze, Improve, and Control), integrating Industry 4.0 concepts and emerging digital technologies. The simulated environment was a 60 m² Learning Factory with 19 workstations and capacity for 17 operators, arranged in a serial production layout. The results obtained from the simulation made it possible to validate the proposed Learning Factory layout and to perform productivity analyses based on simulated data, providing support for optimizing production flows without interventions in the real environment. The computational model proved viable for testing different improvement scenarios, anticipating bottlenecks, and facilitating the planning of physical and operational changes. Computational simulation is an efficient tool for the development of digital models of production environments, playing a strategic role in the first phase of Digital Twin implementation. The study highlights the importance of Learning Factories as innovation laboratories and demonstrates the applicability of simulation for process optimization and support for industrial digitalization, contributing to the advancement of Industry 4.0 in the national context.
Editora / Evento / Instituição: Universidade Federal da Bahia
Tipo: Dissertação</description>
    <dc:date>2026-01-28T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://repositorio.ufba.br/handle/ri/44037">
    <title>Qualidade, eficiência e sustentabilidade na educação superior: uma análise comparativa entre países em relação ao progresso desigual em direção ao Objetivo de Desenvolvimento Sustentável 4</title>
    <link>https://repositorio.ufba.br/handle/ri/44037</link>
    <description>Título: Qualidade, eficiência e sustentabilidade na educação superior: uma análise comparativa entre países em relação ao progresso desigual em direção ao Objetivo de Desenvolvimento Sustentável 4
Autor(es): Oliveira-Melo, Felipe Guilherme
Primeiro Orientador: Sant’Anna, Ângelo Márcio Oliveira
Abstract: This doctoral thesis aims to develop a comprehensive understanding of countries’ progress toward SDG 4 Target 4.3 by analyzing performance typologies and estimating the efficiency with which tertiary education systems generate outcomes related to access to higher education, participation in vocational education, and engagement in lifelong learning. It is structured as article-based research comprising three independent yet interrelated studies. Grounded in Institutional Theory, Resource Dependence Theory, and the Capability Approach, the research adopts a comparative, multi-level, and cross-national design that integrates qualitative evidence synthesis with quantitative modeling based on secondary data. The first article presents a scoping review that systematically maps how tertiary education institutions operationalize quality and efficiency in support of SDG 4. Following the Joanna Briggs Institute methodology and the PRISMA-ScR protocol, 26 empirical studies published between 2015 and 2024 were analyzed using inductive qualitative content analysis. The findings reveal a growing diversity of strategies combining technological innovation, institutional reform, and collaborative partnerships. However, they also highlight persistent challenges related to fragmented governance, conceptual misalignment between quality and efficiency frameworks, and unequal institutional capacities across contexts. This study contributes by proposing a multi-level analytical framework linking micro-, meso-, and macro-level dimensions of quality and efficiency in tertiary education for sustainable development. The second article empirically investigates global performance patterns related to SDG 4 Target 4.3 by developing a cross-national typology of higher education systems. Using recent data (2022–2024) from the United Nations Educational, Scientific and Cultural Organization (UNESCO) Institute for Statistics for 71 countries, the study applies a two-stage clustering approach that combines self-organizing maps and hierarchical clustering. The results identify four distinct clusters of countries, revealing marked differences in access to tertiary education, vocational training participation, lifelong learning engagement, and gender equity. The analysis shows that countries with integrated lifelong learning policies and stronger institutional arrangements tend to exhibit more inclusive and balanced outcomes, while others face persistent gender gaps and limited vocational integration. This article advances the literature by providing an updated empirical typology and by theoretically linking institutional configurations to capability expansion in higher education systems. The third article assesses the relative efficiency with which national higher education systems transform educational resources into outcomes aligned with SDG 4 Target 4.3. Drawing on data from UNESCO and the World Bank for 112 countries, the study applies an output-oriented bootstrap Data Envelopment Analysis model to account for statistical noise and improve the robustness of efficiency estimates. The findings reveal substantial global disparities: while high-efficiency systems are associated with effective governance and strategic resource allocation, many low- and middle-income countries face structural constraints that limit performance. Notably, several countries with lower levels of economic development outperform wealthier peers, indicating that efficiency is more closely related to governance quality than to income level alone. The doctoral thesis demonstrates that global progress toward SDG 4 Target 4.3 has been uneven and only partially convergent. Although access to higher education has expanded worldwide, this quantitative growth has not consistently translated into improved equity, employability, or lifelong learning opportunities. A pronounced asymmetry persists between the Global North and the Global South. These systemic disparities threaten the achievement of Target 4.3 by 2030 and suggest that, without structural reforms, global inequalities in access and inclusion may persist and potentially deepen. The research provides a comprehensive and evidence-based understanding of the uneven progress toward SDG 4, offering actionable insights for policymakers seeking to enhance the equity, effectiveness, and sustainability of higher education worldwide.
Editora / Evento / Instituição: Universidade Federal a Bahia
Tipo: Tese</description>
    <dc:date>2025-12-17T00:00:00Z</dc:date>
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