Comparative Analysis of Wear Models for Accurate Wear Predictions by Guntis Springis, Irina Boiko

“…Throughout history, various methodological approaches have been developed to model wear, primarily categorised into analytical calculations and experimental investigations. Analytical methods, including Archard’s equation and its variations, provide a theoretical basis for wear estimation. …”
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Enhancing coastal bathymetric mapping with physics-informed recurrent neural networks synergizing Gaofen satellite imagery and ICESat-2 lidar data: A case in the South China Sea by Congshuang Xie, Siqi Zhang, Zhenhua Zhang, Peng Chen, Delu Pan

“…The key steps in our process included developing a new algorithm to extract accurate seafloor data from ICESat-2 laser measurements, and a neural network that incorporated both spectral information from satellite images and the physical principles of light interaction in water bodies. We tested our method in the South China Sea, where it produced highly accurate results with a coefficient of variation (R2) value >0.93 and a root mean square error (RMSE) < 0.83 m when compared to actual measurements from an island in the area. …”
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Barriers and facilitators to implementing a task-sharing mental health intervention for Sickle Cell Disease populations in low- and middle-income countries: a qualitative analysis... by John Patena, Leah Elster, Tania Hameed, Sumedha Kulkarni, Alden Yuanhong Lai, Annika C. Sweetland, Joyce Gyamfi, Temitope Ojo, Angela Odoms-Young, Charmaine Royal, Emmanuel Peprah

“…Conversely, facilitators included the potential receptiveness of SCD populations to mental health care delivered by task-sharing providers, the integration of mental health services within SCD clinics to avoid external referrals, and the cultural adaptability of PST-based interventions.DiscussionChallenges associated with implementing task-sharing mental health interventions stem from larger systemic issues within healthcare systems and the integration of care. …”
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Direction-of-Arrival Estimation for a Floating HFSWR Through Iterative Adaptive Beamforming of Focusing Concept by Xianzhou Yi, Min Qu, Zhihui Li, Shuyun Shi, Li Wang, Xiongbin Wu, Liang Yu

“…However, for high-frequency radars with long coherence integration times, the yaw angle variations during this period can have a significant impact on the accuracy of direction-of-arrival estimation. …”
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Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond by Mohamed Rafik Aymene Berkani, Ammar Chouchane, Yassine Himeur, Abdelmalik Ouamane, Sami Miniaoui, Shadi Atalla, Wathiq Mansoor, Hussain Al-Ahmad

“…Future research directions highlight the development of adaptive learning methods, robust privacy measures, and hybrid architectures to fully leverage FL’s potential in driving innovative, secure, and efficient intelligence for the next generation of smart buildings.…”
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Adaptive Global Super-Twisting Sliding Mode Control for Trajectory Tracking of Two-Link Flexible Manipulators by Kshetrimayum Lochan, Lakmal Seneviratne, Irfan Hussain

“…By tuning the gains of the new adaptive method, the controller can handle the flexible manipulator&#x2019;s parametric variations and avoid the aggressive control inputs. …”
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Customized Generative Adversarial Imitation Learning for Driving Behavior Modeling in Traffic Simulation by Zhongyuan Zhu, Zhuoxuan Jiang, Xuefeng Zhang, Jifu Guo, Kai Xian, Tianyang Zhang, Jiawei Ren

“…However, the performance of such models can be affected by numerous factors often overlooked by the existing methods, including the complexity of real-world road environments and driver characteristics. …”
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Recent advances in deep learning for protein-protein interaction: a review by Jiafu Cui, Siqi Yang, Litai Yi, Qilemuge Xi, Dezhi Yang, Yongchun Zuo

“…Therefore, there is an urgent need for a comprehensive review and assessment of recent developments to improve analytical methods and open up a wider range of biomedical applications. …”
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Angle-controllable RNA tiles for programable array assembly and RNA sensing by Qi Yang, Xu Chang, Jung Yeon Lee, Henry Wisniewski, You Zhou, Ashley D. Bernstein, Edward M. Bonder, Jason T. Kaelber, Teresa Wu, Giulia Pedrielli, Fei Zhang

“…We investigate the design strategies that affect array assembly including T-loop configuration, sticky end pairing, structural diversification, and variations in annealing methods. Additionally, one single-stranded TC-RNA tile is designed and folded co-transcriptionally, suggesting promising applications in synthetic biology and molecular engineering. …”
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Bus Signal Priority Solution for Non-Uniform Vehicle Arrival Conditions by Nazia Tazin Imran, Lelitha Devi Vanajakshi

“…The solution was evaluated by integrating it with VISSIM and compared for both intra-cycle and inter-cycle flow variations for three scenarios: using basic Webster equation, using Webster&#x2019;s random delay term for non-uniform arrivals, and using the IQA method for non-uniform arrivals. …”
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Comparative analysis of high-resolution UAV photogrammetry and terrestrial laser scanning for detecting and quantifying urban vegetation changes by O. B. Shafaat, H. Kauhanen, A. Julin, M. Vaaja

“…Extensive urban expansion has significantly impacted green spaces leading to the degradation of urban vegetation. Hence, monitoring variations in vegetation using remote sensing methods is essential. …”
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RecNet: Reinforcement Common Feature Mapping Network for Fast Template Matching in Visible-LWIR Images by Donyung Kim, Seungeon Lee, Inho Park, Geonjong Kim, Sungho Kim

“…Our key innovation lies in the seamless integration of Zero-mean normalized cross correlation (ZNCC), which is well-validated for handling nonlinear intensity variations, with CNN-based shape difference learning. …”
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Comprehensive regional study of ESBL Escherichia coli: genomic insights into antimicrobial resistance and inter-source dissemination of ESBL genes by Lisa Di Marcantonio, Sofia Chiatamone Ranieri, Michela Toro, Alice Marchegiano, Francesca Cito, Nadia Sulli, Ilaria Del Matto, Valeria Di Lollo, Alessandra Alessiani, Giovanni Foschi, Ilenia Platone, Massimiliano Paoletti, Nicola D’Alterio, Giuliano Garofolo, Anna Janowicz

“…Multilocus sequence typing (MLST) was used to identify sequence types (STs), and plasmid profiling alongside synteny analysis was conducted to investigate horizontal gene transfer and resistance gene integration. Spatial analysis was also carried out to identify hotspots of ESBL-positive isolates.ResultsAn overall ESBL-E. coli occurrence of 14.1% (135/956 samples) was found, with significant variation across hosts: companion animals exhibited the highest occurrence (16.2%), followed by livestock and food matrices (14.6%), and wildlife (7.0%). …”
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Micro-screw extrusion 3D printing of multiscale ternary nanocomposite absorbers – Part II: Design and process simulation of the extrusion system by Jiahang Zhang, Dongsheng Li, Mingming Wang

“…However, conventional FFF methods face limitations. This research explores the melt flow behavior of multiscale ternary nanocomposites via a customized Micro-screw 3D printing system. …”
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Investigation on the Role of Artificial Intelligence in Measurement System by P. A. Rezvy, Venkata Lakshmi Narayana Komanapalli

“…When transmitters measure process variables like temperature, pressure, flow, level, and quality in process industries, due to wear and tear, ambient conditions, process variations and electromagnetic interference, measured values always deviate from their actual value, and controlled variables will start to oscillate near setpoint. …”
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Evaluation of the Compliance of Urban Functions in Sofia City with the 15-minute City Concept by D. Petrova-Antonova, B. Monticelli, S. Ilieva

“…Existing studies predominantly rely on either survey-based assessments or algorithmic approaches, often overlooking the integration of both methods and the micro-scale walkability factors that impact accessibility.…”
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Enhanced People Re-identification in CCTV Surveillance Using Deep Learning: A Framework for Real-World Applications by Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary

“…Compared to existing methods, our approach consistently outperforms in both accuracy and scalability, making it suitable for integration into large-scale CCTV systems. …”
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Quantum-Inspired Multi-Scale Object Detection in UAV Imagery: Advancing Ultra-Small Object Accuracy and Efficiency for Real-Time Applications by Muhammad Muzammul, Muhammad Assam, Ayman Qahmash

“…Ultra-small object detection in UAV imagery presents significant challenges due to scale variation, environmental complexity, and computational constraints. …”
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Trends in the development of vocabulary for emotion and cognition in English: A millennial perspective by Kateryna Krykoniuk, Sara M. Pons-Sanz

“…To annotate the lexical items in our sample, we used the methods of formal-morphological analysis (e.g., Tyschenko [2003]; Krykoniuk [2022]) and semantic analysis (e.g., Pons-Sanz [2022]; HTE [2023]). …”
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Orbital-Scale Modulation of the Middle Miocene Third-Order Eustatic Sequences from the Northern South China Sea by Haichun Xu, Nan Wu, Xinyan Xu, Bo Yu, Ke Xu

“…However, challenges such as bias in current sequence stratigraphic schemes, limitations in high-resolution stratigraphic schemes, and incomplete understanding of genetic mechanisms may present obstacles for refining hydrocarbon exploration strategies. This study integrates gamma ray (GR) logging data, lithological variations, sequence stratigraphy, and cyclostratigraphy to delineate connections between sequence stratigraphy and astronomical forcing. …”
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