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Use of Unmanned Aerial Vehicles (UAVs) for Transport Pavement Inspection
Publication . Santos, Bertha; Gavinhos, Pedro; Almeida, Pedro G.; Nery, Dayane; Rujikiatkamjorn, C.; Xue, J.; Indraratna, B.
Technological evolution has allowed the use of unmanned aerial vehicles (UAVs) in an easier and more diversified way, creating opportunities for its application in various fields of engineering, namely in the inspection of transport infrastructures. The present study begins with the analysis of the main practices that resort to the use of UAVs, in order to frame its application in the field of transport pavement inspection. A review of studies and other available literature served as a starting point to define the methodology adopted for the development of the case study presented. The methodology includes the collection of images of a flexible road pavement section, its processing, and the creation of an orthoimage and a 3D model from which it was possible to identify and characterize the distresses present on the pavement surface. The main results obtained point to planimetric and altimetric deviations of less than 2 and 10 mm, respectively, for the images collected by theMavic 2 Pro drone at 3 and 20mhigh.With the collected data, itwas also possible to calculate the global quality index PCI for the inspected pavement section. Under these conditions, it is possible to conclude that the accuracy is very good and suitable for the intended purpose, allowing fast data collection at low cost. This new technological approach supports infrastructure managers in the design of maintenance programs and in the scheduling of interventions, thus contributing to the increase of the durability and safety levels of the inspected pavements.
Automated Geographic Information System Multi-Criteria Decision Tool to Assess Urban Road Suitability for ActiveMobility
Publication . Santos, Bertha; Ferreira, Sandro Alfaro ; Lucena, Pollyana;
The planning of greener, more accessible, and safer cities is the focus of several strategies that aim to improve the population’s quality of life. This concern for the environment and the population’s quality of life has led to the implementation of active mobility policies. The effectiveness of the mobility solutions that are sought heavily depends on the identification of the main factors that favor their use, as well as how adequate urban spaces are in minimizing existing difficulties. This study presents an automated geographic information system (GIS) decision support tool that allows the identification of the level of suitability of urban transportation networks for the use of active modes. The tool is based on the determination of a set of mobility indices: walkability, bikeability, e-bikeability, and active mobility (a combination of walking and cycling suitability). The indices are obtained through a spatial multi-criteria analysis that considers the geometric features of roads, population density, and the location and attractiveness of the city’s main trip-generation points. The treatment, representation, and study of the variables considered in the analysis are carried out with the aid of geoprocessing, using the spatial and network analysis tools available in the GIS. The Model Builder functionality available in ArcGIS® was used to automate the various processes required to calculate walking, cycling, and e-biking travel times, as well as the mobility indices. The developed tool was tested and validated through its application to a case study involving the road network of the urban perimeter of the medium-sized city of Covilhã, Portugal. However, the tool is designed to be applied with minimal adaptation to different scenarios and levels of known input information, providing average or typical values when specific information is not available. As a result, a flexible and automated GIS-based tool was obtained to support urban space and mobility managers in the implementation of efficient measures compatible with each city’s scenario.
Desenvolvimento de Soluções Sustentáveis para Resíduos Têxteis Hospitalares
Publication . Mendes, Carla Manuela Fonseca; Belino, Nuno José Ramos; Barata, Teresa Raquel Aurélio da Silva Nunes
Atualmente, as preocupações relacionadas com o consumo excessivo de recursos e com os danos causados ao meio ambiente têm aumentado significativamente, o que contrasta, de maneira marcante, com os padrões observados há alguns anos. Discutir esses fatores implica abordar conceitos como sustentabilidade, economia circular e controlo de resíduos. As instituições públicas não são exceção a essa dinâmica. O desperdício de qualquer material deve ser evitado por uma série de razões, tanto económicas, quanto ambientais. Embora os hospitais sejam unidades operacionais distintas de outras instituições, a prestação de cuidados de saúde não pode ser utilizada como justificativa para o desinteresse na adoção de políticas de controlo de resíduos e recursos. Embora já existam diversas iniciativas voltadas para a contenção e controlo de recursos nas instituições de saúde, é cada vez mais imperativo promover a implementação dessas medidas e incentivar ações de melhoria contínua nesse contexto. Hospitais são produtores de toneladas de resíduos, incluindo resíduos têxteis que, por se classificarem como hospitalares, são eliminados sem qualquer valorização. Foi nesse enquadramento que foram desenvolvidos têxteis que poderão ser usados em ambiente hospitalar e geriátrico, aproveitando resíduos têxteis provenientes de unidades de saúde, nomeadamente, fardamentos e têxteis provenientes das unidades dos doentes, cujo destino seria o aterro ou incineração. A investigação procurou aplicar os princípios da economia circular, criando várias estruturas têxteis a partir de resíduos de têxteis reutilizáveis e descartáveis, por meio da reciclagem mecânica e termomecânica, originando artigos que poderão ser utilizados em ambiente de prestação de cuidados, com características semelhantes aos produtos originais. A possibilidade de reciclagem deste tipo de resíduo apresenta uma mais valia, não só para as unidades de saúde, que deixam de ter que pagar para eliminar os resíduos têxteis, mas também representa um ganho para o ambiente, transformando um material tido como um resíduo, numa matéria prima.
Reverse Logistics: A Mixed-Methods Analysis of Barriers, Strategies, and Key Determinants
Publication . Soares, Miguel Norberto Mendes; Paço, Arminda Maria Finisterra do; Braga, Alexandra Maria Silva
Growing concern about the environmental impacts of supply chain activities have stimulated the adoption of more sustainable models, highlighting the transition from a linear paradigm to a circular model. In this context, Reverse Logistics (RL) emerges as a fundamental strategic tool, allowing the recovery, re-use and recycling of products and material at the end of their life-cycle, and contributing to environmental, social and economic sustainability. Despite the recognised importance of RL as a strategic tool to promote the sustainability of supply chains, many companies, especially Small and Medium-Sized Enterprises (SMEs) in the textile and footwear sectors in Portugal, find effective implementation difficult. Therefore, this study aimed to identify and analyse the main barriers hindering adoption of RL in these industries, as well as exploring strategies to implement viable and effective RL networks. To do so, and to increase knowledge about the implementation of RL in textile and footwear SMEs, a mixed methodological approach was adopted, including quantitative and qualitative methods in the five studies making up this thesis. The study began with a Systematic Literature Review (SLR) (first study), following the Denyer and Tranfield (2009) protocol, to map existing scientific knowledge about RL and sustainability. The search carried out in May 2023 on the Web of Science and Scopus databases used the key-words “Reverse Logistics” and “Sustainability. The second study applied the Fuzzy Delphi method to validate and categorize in terms of relevance the barriers to implementing RL. This method allowed validation of a number of barriers with a negative impact on implementation of an efficient reverse flow network. The third study combined Interpretive Structural Modeling (ISM) and Matrices d’Impacts Cross-Multiplication Appliqúe a Classmate (MICMAC) analysis to map hierarchical relations among the barriers. A focus group with eight RL specialists, carried out via Zoom, developed a graphic model of interdependences. The MICMAC analysis classified the barriers in four quadrants (autonomous, dependent, linking and independent), identifying those with the biggest impact. The fourth study focused on SMEs in the textile and footwear sectors, using semistructured interviews with supply chain managers. The intentional sample was formed of participants with practical experience of RL, meaning the themes addressed could be dealt with in depth. The interviews lasted 30 minutes on average and explored specific barriers in the SME context and strategies to overcome them. Finally, the fifth study included the Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy F-MARCOS to prioritize RL implementation strategies. FAHP attributed weights and criteria based on specialists’ linguistic evaluations, while Fuzzy Measurement of Alternatives and Ranking according to Compromise Solution (F-MARCOS) ordered the strategic alternatives, handling uncertainties inherent to multi-criteria decisions. The main research trends in this area were identified, namely, the development of optimization models, performance assessment, outsourcing activities and the challenges of implementation. The most significant barriers to implementation of RL were found to be categorized in seven groups, highlighting the uncertainty in returning products, high costs and the lack of management commitment as the main factors preventing effective implementation. Analysis of the inter-relations among barriers, using ISM and MICMAC methods, showed that the "lack of an appropriate organisational structure" has the greatest influence, with a direct effect on social responsibility. In the textile and footwear sector, the reasons for adopting RL include environmental sustainability, economic benefits and social responsibility. Nevertheless, companies face challenges such as high operational costs and a lack of collaboration. To overcome these obstacles, this study proposes strategies such as the outsourcing of RL activities and developing strategic partnerships.
SGLT2i and GLP1RA: Safety and Effectiveness Profiles Evaluation using Real-World Patient Data
Publication . Lopes, António Luís Martins Coutinho Cabral e; Morgado, Manuel Augusto Nunes Vicente Passos; Lourenço, Olga Maria Marques; Roque, Maria de Fátima dos Santos Marques
Type 2 Diabetes Mellitus (T2DM) is a highly prevalent chronic disease associated with substantial morbidity and mortality, largely driven by cardiovascular (CV) complications, chronic kidney disease (CKD), and obesity. The global burden of T2DM continues to rise, fueled by aging populations, urbanization, and lifestyle-related risk factors. In this context, newer therapeutic classes such as sodium-glucose cotransporter2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP1RA) have transformed the management of T2DM by providing benefits that extend far beyond glycemic control. Robust evidence demonstrates that these agents reduce the risk of major adverse cardiovascular events (MACE), slow CKD progression, promote weight loss, and improve metabolic parameters. As a result, both drug classes have been increasingly repositioned and approved for new clinical indications, broadening their use to diverse and often complex patient populations. Despite substantial evidence from randomized controlled trials, real-world data on the safety and effectiveness of SGLT2i and GLP1RA remain essential, particularly in older individuals, polymedicated patients, and those with multiple comorbidities—groups often underrepresented in clinical trials. Post-marketing safety signals, including genitourinary infections with SGLT2i and gastrointestinal adverse effects with GLP1RA, underscore the need for continued pharmacovigilance. Understanding how these medicines perform in routine care settings is critical to optimizing therapeutic strategies and supporting clinical decision-making. This doctoral thesis aimed to evaluate the safety and effectiveness profiles of SGLT2i and GLP1RA using real-world data from hospital settings and pharmacovigilance reports. Retrospective observational studies were conducted across emergency departments, inpatient hospitalizations, and outpatient consultations, complemented by an analysis of adverse drug reaction (ADR) reports from the EudraVigilance (EV) database. Key findings highlight the effectiveness of SGLT2i in improving renal function, reducing systolic blood pressure, and lowering hospitalization rates for heart failure (HF). GLP1RA were particularly effective in achieving significant weight loss and reducing CV risk scores. Both drug classes demonstrated substantial reductions in glycated hemoglobin (HbA1c), consistent with clinical trial data. Safety analyses revealed low incidences of acute kidney injury (AKI) and major CV events, with gastrointestinal side effects being the most frequently reported ADRs for GLP1RA. These results underscore the critical role of SGLT2i and GLP1RA in comprehensive T2DM management, particularly for high-risk populations with multiple comorbidities. The findings also emphasize the need for ongoing pharmacovigilance and tailored therapeutic strategies to optimize patient outcomes. Future research should focus on mitigating adverse effects and validating these findings across diverse populations and healthcare settings.