Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach by Ankita Maurya, Rahul Haripriya, Manish Pandey, Jaytrilok Choudhary, Dhirendra Pratap Singh, Surendra Solanki, Duansh Sharma

“…The system was evaluated on both synthetic and MIMIC-III datasets using CatBoost, XGBoost, and TabNet across multiple threshold configurations and client setups. …”
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Complex multivariate model predictions for coral diversity with climatic change by Tim R. McClanahan, Maxwell K. Azali, Nyawira A. Muthiga, Sean N. Porter, Michael H. Schleyer, Mireille M. M. Guillaume

“…A number of these aspects were evaluated using boosted regression tree models of numbers of coral taxa trained on ~1000 field surveys and 35 spatially complete influential environmental proxies at moderate scales (~6.25 km2). …”
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Helminth reshapes host gut microbiota and immunoregulation by deploying an antimicrobial program of innate immunity by Yang Zou, Lixia Pu, Aijiang Guo, Yaqi Li, Yihui Liu, Yugui Wang, Yingying Ding, Xiaowei Du, Xiaola Guo, Shaohua Zhang, Xuepeng Cai, Shuai Wang

“…Helminths can manipulate their host’s gut microbiota, with the expansion of the lactobacilli population being a common feature. This process profoundly influences host immunoregulation, yet the underlying mechanisms remain almost unknown. …”
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A Chemoinformatics Investigation of Spectral and Quantum Chemistry Patterns for Discovering New Drug Leads from Natural Products Targeting the PD-1/PD-L1 Immune Checkpoint, with a... by Henrique Rabelo, Ayana Tsimiante, Yuri Binev, Florbela Pereira

“…The LightGBM (Light Gradient-Boosted Machine), a tree-based ML technique, emerged as the most effective approach and was used for building the quantitative structure–activity relationship (QSAR) classification model. (3) Conclusions: The model incorporating 570 spectral descriptors from NMR SPINUS was selected for the optimization process, and this approach yielded results for the external test set with a sensitivity of 0.74, specificity of 0.81, overall predictive accuracy of 0.78, and Matthews correlation coefficient (MCC) of 0.55. …”
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Metabolic conversion of phenol to polyhydroxyalkanoate (PHA) for addressing dual environmental challenges: A review by Izzati Sabri, Mohd Zulkhairi Mohd Yusoff, Nor Azlan Nor Muhammad, Li Sim Ho, Norhayati Ramli

“…Utilizing phenol as a carbon feedstock for PHB accumulation could offer a viable approach to boost PHA's commercialization while addressing the issue of phenol pollution.…”
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Electrochemical CO2 reduction in ionic liquids: a 3D modeling approach by Inês S Fernandes, Sofia Messias, Rodrigo Martins, Manuel J Mendes, Ana S Reis-Machado

“…An unprecedented 3D model for porous cathodes was designed for the co-electrolysis of CO _2 and water to produce syngas, particularly considering aqueous and ionic liquid (IL) electrolytes to increase CO _2 solubility in the electrolyte while lowering its density and kinematic viscosity to boost ECR process performance. The structural parameters of the cathode, i.e. porosity and pores geometry, were investigated, together with the effects of operational parameters such as type of electrolyte, flow rate, temperature and pressure. …”
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Unveiling the roles, mechanisms and prospects of soil microbial communities in sustainable agriculture by Kelvin Kiprotich, Esther Muema, Clabe Wekesa, Tavasi Ndombi, John Muoma, Dennis Omayio, Dennis Ochieno, Hamond Motsi, Sipho Mncedi, Janet Tarus

“…Abstract Soil hosts diverse microbial communities including bacteria, fungi, archaea, protozoans and nematodes among others, which are fundamental to sustainable agriculture and drive essential processes that underpin soil fertility, plant health, and ecosystem resilience. …”
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Ytterbium-laser-driven THz generation in thin lithium niobate at 1.9 kW average power in a passive enhancement cavity by Edoardo Suerra, Francesco Canella, Dario Giannotti, Mohsen Khalili, Yicheng Wang, Kore Hasse, Sergiy Suntsov, Detlef Kip, Clara Saraceno, Simone Cialdi, Gianluca Galzerano

“…However, as the repetition rate increases toward hundreds of MHz, the conversion efficiency typically decreases, as most laser systems do not reach sufficiently high average powers to correspondingly enhance the peak power to drive the nonlinear conversion process efficiently. An alternative approach to achieving a sufficiently high average power at a high repetition rate is based on passive enhancement cavities, which boost the pulse energy of standard watt-level ytterbium lasers by orders of magnitude. …”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…This network facilitates the supervised extraction process by modeling pond boundaries and the distances from internal points to these boundaries. …”
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Deep Pseudogene Categorization and Genome-Wide Transcription Prediction Using GANP-Based Feature Selection and TabNet Interpretability by Zeeshan Ahmed, Kashif Munir, Muhammad Usama Tanveer, Syed Rizwan Hassan, Ateeq Ur Rehman, Habib Hamam

“…Pseudogenes, once regarded as genomic relics, have emerged as critical regulators of gene expression, influencing cancer, neurodegenerative disorders, and developmental processes. This study introduces an advanced framework for pseudogene classification, leveraging deep learning to address the challenges of large-scale transcriptomic analysis. …”
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Leaf area index-based phenotypic assessment of sweet potato varieties using UAV multispectral imagery and a hybrid retrieval approach by Philemon Tsele, Abel Ramoelo, Lucy Moleleki, Sunette Laurie, Whelma Mphela, Natasha Tshuma

“…This study tested the boosted regression trees (BRT) and kernel ridge regression (KRR) for inversion of the PROSAIL RTM to retrieve LAI across 20 sweet potato varieties during peak growth stage. …”
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Janus Ag/Fe-HfO2 nanoparticles for enhanced radio-photothermal tumor therapy via magnetic resonance imaging and multienzyme activity by Xinying Liu, Baohui Liu, Conglong Chen, Chaowei Hong, Jia Xu, Yixuan Ruan, Ling Huang, Shanni Hong, Wei Chen, Ye Kuang

“…The surfaces have been meticulously engineered with PEG to boost biocompatibility and adorned with RGD-targeting peptides that selectively target tumor cells (Ag/Fe-HfO2-PEG-RGD). …”
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Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

“…The forward diffusion process introduces Gaussian noise incrementally, while the reverse process employs a U-Net architecture to progressively denoise the images, conditioned on the low-resolution input image.ResultsWe trained and validated the model on a retrospective dataset of dynamic contrast-enhanced (DCE) perfusion MRI, consisting of both stress and rest images from 47 patients with heart disease. …”
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FILM AND TELEVISION: FINANCIAL SUPPORT FACILITIES IN MODERN EUROPE / КИНО И ТЕЛЕВИДЕНИЕ: МЕХАНИЗМЫ ПОДДЕРЖКИ В СОВРЕМЕННОЙ ЕВРОПЕ... by YUSUPOVA GALIYA M. / ЮСУПОВА Г.М.

“…The emergence and popularity of video-on-demand platforms has boosted broadcasters’ financial commitments. The article also provides information on the technical details of this multi-step process: the author classifies the existing types of broadcasters’ obligations, and analyzes the mechanisms of financial support for film production by television channels. …”
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The vitamin D receptor is essential for the replication of pseudorabies virus by Lei Zeng, Shu-Yi Wang, Meng-Hua Du, Bei-Bei Chu, Sheng-Li Ming

“…Although VDR’s influence spans multiple biological processes, its relationship with viral infections, particularly pseudorabies virus (PRV), remains underexplored. …”
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Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study by Mark Hewko, Vincent Gagnon Shaigetz, Michael S Smith, Elicia Kohlenberg, Pooria Ahmadi, Maria Elena Hernandez Hernandez, Catherine Proulx, Anne Cabral, Melanie Segado, Trisha Chakrabarty, Nusrat Choudhury

“…Gamification may play a role in addressing this as it can boost adherence. However, careful consideration is required in its application to promote user motivation intrinsically. …”
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Automated classification of chest X-rays: a deep learning approach with attention mechanisms by Burcu Oltu, Selda Güney, Seniha Esen Yuksel, Berna Dengiz

“…Furthermore, Grad-CAM-based visualizations are integrated to enhance the interpretability of the model, offering valuable insights into its decision-making process. This innovative framework not only boosts classification accuracy but also sets a new benchmark in CXR-based disease diagnosis.…”
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Accelerated wound healing efficacy of hyaluronic acid-coated silver nanoparticles loaded with vancomycin: preparation, in vitro characterization, optimization, and in vivo assessme... by Esraa Taha, Samia A. Nour, Marwa S. Khattab, Aya M. Yassin, Naglaa A. AbdElkader, Mai M. El Taweel

“…In vivo study on surgically induced wounds in dogs manifested that the optimum drug-loaded system significantly boosted the wound healing process compared to plain system, drug solution, or control group providing rapid and complete skin regeneration. …”
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Energy transfer aspects of chemically reactive Casson fluid between a conical gap of cone-disk system with multiple rotations by M. Qamar, M. Khan, A.S. Alqahtani, M.Y. Malik

“…It is noted that the thermal distribution profile is boosted as the thermal conductivity parameter increases resulting in a strong thermal effect within the flow field. …”
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AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems by Oriol Chacón-Albero, Mario Campos-Mocholí, Cédric Marco-Detchart, Vicente Julian, Jaime Andrés Rincon, Vicent Botti

“…Additionally, we explore ensemble strategies using aggregation functions to boost classification performance, and validate selected models on real embedded hardware and under simulated lighting variations. …”
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