Study of the physical-chemical and sorption properties of SnO₂ prepared by mechanochemical and microwave routes by M. M. Samsonenko, O. I. Zakutevskyy, S. V. Khalameida, J. Skubiszewska-Zięba, M. F. Kovtun

“…The specific surface area, total volume of pores, mesoporous size are increased as a result of the mechanochemical and microwave treatments. …”
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Privacy-enhanced skin disease classification: integrating federated learning in an IoT-enabled edge computing by Nada Alasbali, Jawad Ahmad, Ali Akbar Siddique, Oumaima Saidani, Alanoud Al Mazroa, Asif Raza, Rahmat Ullah, Muhammad Shahbaz Khan

“…Most existing automated detection/classification approaches that utilize machine learning or deep learning poses privacy issues, as they involve centralized computing and require local storage for data training.MethodsKeeping the privacy of sensitive patient data as a primary objective, in addition to ensuring accuracy and efficiency, this paper presents an algorithm that integrates Federated learning techniques into an IoT-based edge-computing environment. …”
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ORUD-Detect: A Comprehensive Approach to Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning–Deep Learning Models with Embedding Techniques by Nisar Hussain, Amna Qasim, Gull Mehak, Olga Kolesnikova, Alexander Gelbukh, Grigori Sidorov

“…With the rapid expansion of social media, detecting offensive language has become critically important for healthy online interactions. This poses a considerable challenge for low-resource languages such as Roman Urdu which are widely spoken on platforms like Facebook. …”
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Surgical Management of Intrathoracic Triton Tumors: Insights into Emerging Molecular and Epigenetic Mechanisms with a Case Series of Three Patients by Alessandro Bonis, Alberto Busetto, Federica Pezzuto, Giulia Pagliarini, Vincenzo Verzeletti, Mario Pezzella, Giorgio Cannone, Eleonora Faccioli, Marco Mammana, Giovanni Maria Comacchio, Alessandro Rebusso, Marco Schiavon, Chiara Giraudo, Fiorella Calabrese, Andrea Dell’Amore, Samuele Nicotra, Angelo Paolo Dei Tos, Federico Rea

“…MTTs predominantly affect anatomical regions rich in large nerves, such as the limbs, spinal root, and cranial nerves. Mediastinal presentations are exceedingly rare, posing significant diagnostic and therapeutic challenges. …”
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Unified Multi-Abstraction-Level Functional Testing and Performance Measurements for Industrial IoT in Spatially Distributed Narrow Band-Wireless Wide Area Networks by Jubin Sebastian E, Fabian Sowieja, Axel Sikora

“…A detailed technical description of the prototype implementation and its evaluation is presented in this paper.…”
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Bioactive Inorganic Materials for Innervated Multi‐Tissue Regeneration by Hongjian Zhang, Ziyi Zhao, Chengtie Wu

“…Although several therapeutic strategies are there for tissue regeneration, the functional recovery of regenerated tissues still poses significant challenges due to the lack of concerns of tissue innervation. …”
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Machine learning assisted CFD optimization of fuel-staging natural gas burners for enhanced combustion efficiency and reduced NOx emissions by Muhammad Mubashir, Dekui Shen, Habib Kraiem, Aymen Flah, Nahar F. Alshammari, Muhammad Mubashar Hanif

“…Abstract Industrial combustion systems are among the primary contributors to nitrogen oxide (NOx) emissions, posing challenges for air quality management and regulatory compliance. …”
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High-yield DNA extraction protocol for Azadirachta indica: overcoming metabolite interference by Rimpee Garg, Supriya Kaler, Ashok Kumar, Rama Kant

“… Azadirachta indica (Neem), a tree of significant medicinal and ecological importance, poses challenges in genomic DNA extraction due to its high content of secondary metabolites, including polyphenols and polysaccharides, which impede downstream molecular applications. …”
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Investigation of Aloe vera mediated ZnO-β-CD nanocomposite for photocatalysis and antimicrobial applications by Arti Hadap, Vishal R. Panse, Serhii Tereshchuk

“…Abstract This study presents the green synthesis of an Aloe vera based ZnO-β-cyclodextrin (β-CD) nanocomposite for photocatalysis and antimicrobial applications. …”
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Machine Learning for Spatiotemporal Prediction of River Siltation in Typical Reach in Jiangxi, China by Yong Fu, Jin Luo, Die Zhang, Lingjia Liu, Gan Luo, Xiaofang Zu

“…The accumulation of sediment, combined with falling water levels, was found to significantly reduce the channel depth and width, particularly in the upstream sections, posing a potential risk to navigation safety. This study presents an initial, yet promising attempt to apply machine learning for spatially explicit siltation prediction in data-constrained river systems. …”
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A Cost-Effective Liquid Chromatography Method with Ultraviolet Detection for Identity Screening and Assay of Injectable Antibiotics by Haile Kassahun Desta, Gebremariam Ketema, Ann Van Schepdael, Erwin Adams

“…The presence of substandard and falsified (SF) medicines poses a significant challenge in resource-limited countries. …”
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Reactive Autonomous Ad Hoc Self-Organization of Homogeneous Teams of Unmanned Surface Vehicles for Sweep Coverage of a Passageway with an Obstacle Course by Petr Konovalov, Alexey Matveev, Kirill Gordievich

“…A computationally cheap control law is presented that attains the posed objectives when being individually run at every USV. …”
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Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting by Yang Wang, Weiye Wang, Deshan Chen

“…Despite the promise of multi-agent reinforcement learning (MARL) in continuous control problems, its low sample efficiency poses a challenge in unknown environments and complex control scenarios. …”
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The Old Amharic Treatise “Kinds of the Creation”: the text by Maria Bulakh, Iosif Fridman

“…The present publication constitutes the first edition of a previously unknown treatise entitled (in the incipit of the composition itself) “Kinds of the Creation”. …”
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Therapeutic Management of Ebola Virus: Targeting Oxidative Stress and Inflammatory Pathways by Martin Ndayambaje, Hicham Wahnou, Abdallah Naya, Mounia Oudghiri

“…The Ebola virus (EBOV), a highly lethal pathogen causing hemorrhagic fever, poses a persistent public health threat, with devastating multi-organ complications and high transmission potential through bodily fluids. …”
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PUBLIC HEALTH HAZARDS OF YERSINIA ENTEROCOLITICA ISOLATED FROM SHEEP AND GOAT MILK by Dhary Alewy Almashhadany, Bakhtawar Omer, Sarah Hameed, Hero Ismael Mohammed

“…These findings highlight the public health risks posed by Y. enterocolitica found in raw milk and underscore the need for improved food safety practices and antibiotic stewardship in the region.…”
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The Synthesis of B-Doped Porous Carbons via a Sodium Metaborate Tetrahydrate Activating Agent: A Novel Approach for CO₂ Adsorption by Junting Wang, Yingyi Wang, Xiaohan Liu, Qiang Xiao, Muslum Demir, Mohammed K. Almesfer, Suleyman Gokhan Colak, Linlin Wang, Xin Hu, Ya Liu

“…However, the conventional fabrication of porous carbons often relies on highly corrosive activating agents like KOH and ZnCl₂, posing environmental and safety concerns. To address this challenge, in the present work sodium metaborate tetrahydrate (NaBO₂·4H₂O) has been utilized as an alternative, eco-friendly activating agent for the first time. …”
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A Lean Six Sigma, Industry 4.0 and Circular Economy-driven methodology for wine supply chain process improvement by Alessandro Zironi, Pamela Danese, Pietro Romano, Roberto Zironi

“…Wine supply chains represent a strategic asset for the world economy and an ideal setting for the implementation of LSS, I4.0 and CE, but studies that integrate these three approaches to improve wine supply chain processes are lacking. The present research intends to demonstrate how wine supply chain processes (SCPs) can be improved by deploying the synergies between LSS, I4.0 and CE, so as to face the quality, efficiency and sustainability challenges modern competition poses to wine companies. …”
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Multiscale Information Fusion Based on Large Model Inspired Bacterial Detection by Zongduo Liu, Yan Huang, Jian Wang, Genji Yuan, Junjie Pang

“…Additionally, a newly designed feature fusion architecture, integrating Transformer modules, is proposed to enable the efficient fusion of global and multi-scale features, overcoming the bottlenecks posed by Feature Pyramid Networks (FPN) structures, which in turn reduces information transmission loss between feature layers. …”
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Dynamical axion misalignment from the Witten effect by Abhishek Banerjee, Manuel A. Buen-Abad

“…The proposal addresses the challenges posed to the axion dark matter scenario by an overabundance of axions overclosing the Universe, as well as by isocurvature constraints. …”
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