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- Sparse mixture of experts enhanced transformer architecture for short-term hydroelectric reservoir volume predictionPublication . Seman, Laio Oriel; Yow, Kin-Choong; Stefenon, Stefano FrizzoIn hydroelectric-based systems, effective energy generation planning relies heavily on precise forecasting of reservoir water levels. This paper proposes a novel hybrid forecasting framework that integrates multiple preprocessing strategies with a sparse Mixture of Experts enhanced Transformer architecture for short-term reservoir volume prediction. When evaluated on 19 interconnected reservoirs across two major river basins in southern Brazil using real operational data from the Brazilian National System Operator, the proposed model achieves a mean squared error of 0.062 and a mean absolute error of 0.145. Comprehensive benchmarking against 18 state-of-the-art deep learning methods demonstrates that the proposed approach significantly outperforms existing methods while maintaining computational efficiency through sparse expert routing. Our results confirm that combining diverse preprocessing strategies with conditional computation mechanisms provides superior forecasting accuracy for reservoir management in hydroelectric power systems.
- Aspergillus spp. in woodworking settings: implications for occupational health and safetyPublication . Dias, Marta; Rodriguez, Margarida; Riesenberger, Bruna; Marques, Liliana; Carolino, Elisabete; Twarużek, Magdalena; Kosicki, Robert; Gonçalves, Lídia; Caetano, Liliana Aranha; Alastruey-Izquierdo, Ana; Viegas, Susana; Viegas, CarlaWoodworkers are exposed to several potentially harmful agents, including microorganisms that grow in the wood. The most common fungal species in woodworking environments are Aspergillus, Penicillium, and Cladosporium spp., with occupational exposure to Aspergillus spp. posing a significant respiratory risk. This study aimed to assess exposure to Aspergillus spp. in two Portuguese woodworking environments and to perform a thorough analysis of Aspergillus fumigatus complex isolates collected from 13 DIY stores and 6 Carpentries in the Lisbon Metropolitan Area. Sampling combined active and passive methods to assess microbial contamination. Aspergillus fumigatus isolates were analysed for their antifungal susceptibility, resistant mechanisms, mycotoxin production, and cytotoxic potential in lung (A459) and liver (HepG2) cell lines. The MAS-100 presented Aspergillus sections Aspergilli and Flavi with the highest prevalence in DIY stores and Carpentries, respectively. A total of 1185 Aspergillus spp. were recovered, 270 identified as Aspergillus fumigatus sensu stricto growing at 37 °C. None of those isolates was resistant to azoles, 99.07% of them produced gliotoxin, and 39.9% of them produced cytotoxic effects in at least one cell line. This study comprehended a multi-approach that considered not only sampling methods but also the laboratory assays to be applied in the Aspergillus section Fumigati isolates recovered from two different woodworking environments, allowing a complete and robust analysis of this specific environment and species. Overall, the findings indicate that woodworkers are exposed to A. fumigatus isolates with relevant pathogenic traits, despite the absence of azole resistance, underscoring the need for continued environmental and occupational monitoring.
- Old molecules, new hope: a scoping review and bibliometric analysis of drug repurposing for lung cancerPublication . Ragassi, Wellington Martins; Alves, Fernando Miguel; Lazo, Raul Edison; Tonin, Fernanda; Pontarolo, Roberto; Sari, Marcel Henrique; Ferreira, Luana MotaDrug repurposing has gained prominence in oncology by enabling the investigation of approved drugs for new therapeutic purposes. In lung cancer, this strategy may reduce the time and costs associated with drug development. This study aimed to map the landscape of in silico, in vitro, in vivo, and clinical research on drug repurposing for lung cancer, while identifying key molecular targets and research gaps. A systematic search was conducted in PubMed, Embase, and Web of Science, following Joanna Briggs Institute and PRISMA-ScR guidelines. Two reviewers independently selected and extracted the data. A total of 58 studies, published between 2010 and 2024, mainly from the United Kingdom (19%) and the United States (17%), were included. Most studies used in vitro models (53%), followed by in vivo (31%) and in silico (16%), with frequent combinations of methods. The most investigated drug classes were antibiotics (10%), antipsychotics (9%), antidiabetics (8%), anthelmintics (6%), and antihistamines (6%). Frequently studied drugs included niclosamide, metformin, atorvastatin, and doxazosin, targeting pathways such as PI3K/AKT/mTOR, apoptosis, and autophagy. Bibliometric analysis revealed increasing scientific output, with emphasis on combination therapies, cellular mechanisms, and technologies like molecular docking and nanosystems. These findings highlight the growing relevance of drug repurposing in lung cancer, especially in accelerating effective therapy discovery using approved compounds. Progress in this field depends on integrating diverse methodologies and fostering interdisciplinary collaboration. As a next step, rigorous clinical trials are essential to confirm the efficacy and safety of promising repurposed agents in oncology.