Radiological Assessment of Charcot Neuro-Osteoarthropathy in Diabetic Foot: A Narrative Review by Antonio Mascio, Chiara Comisi, Virginia Cinelli, Dario Pitocco, Tommaso Greco, Giulio Maccauro, Carlo Perisano

“…While plain radiographs remain the cornerstone of initial imaging, advanced modalities such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) have significantly enhanced diagnostic accuracy. …”
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Acetabular osteophyte formation in dysplastic hip osteoarthritis by Hiroto Funahashi, Yusuke Osawa, Yasuhiko Takegami, Yuto Ozawa, Hiroaki Ido, Takamune Asamoto, Shiro Imagama

“…We measured the periacetabular osteophyte using computed tomography. The correlation coefficient between SP or LT and the length of each osteophyte were investigated. …”
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GeoBM: A Python-based tool for integrated visualization of global bibliometric data by Chun Chong Fu, Jorge Fleta-Asín, Fernando Muñoz, Carlos Sáenz-Royo, Loo Keat Wei

“…To address these methodological shortcomings, we propose GeoBM (Geographic Bibliometric Mapping), a computational framework that enables enhanced geovisualization of global scientific output and collaboration patterns. …”
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Noise Reduction Method for Partial Discharge Fluorescence Fiber Sensors Based on Optimized Empirical Wavelet Transform by Chengyong Hu, Yi Huang, Chuanlu Deng, Ming Jia, Qi Zhang, Peng Wu, Yuncai Lu, Qun Li, Xiaobei Zhang, Tingyun Wang

“…Simulated and experimental results demonstrate that the proposed method possesses a superior noise reduction effect compared to the other four methods while restoring the detail of the PD fluorescence signal flooded by serious noise and consuming reduced computational cost.…”
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A Structured AHP-Based Approach for Effective Error Diagnosis in Mathematics: Selecting Classification Models in Engineering Education by Milton Garcia Tobar, Natalia Gonzalez Alvarez, Margarita Martinez Bustamante

“…Five established classification models—Newman, Kastolan, Watson, Hadar, and Polya—were evaluated using six pedagogical criteria: precision in error identification, ease of application, focus on conceptual and procedural errors, response validation, and viability in improvement strategies. …”
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Mathematical, electrochemical, spectroscopic and microscopic monitoring of the adsorption effect of expired drugs on zinc corrosion in 3.5% NaCl solution by Arafat Toghan, Omar K. Alduaij, Nada Alqarni, Emad M. Masoud, Hanan Alhussain, Ayman M. Mostafa, Ahmed A. Farag, Ahmed Fawzy

“…The experimental results of all the techniques used and the statistical and computational analysis were in remarkable agreement with each other.…”
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Towards Automatic Expressive Pipa Music Transcription Using Morphological Analysis of Photoelectric Signals by Yuancheng Wang, Xuanzhe Li, Yunxiao Zhang, Qiao Wang

“…Our zero-crossing-based pitch estimator achieved a performance comparable to short-time methods with a far better computational efficiency, demonstrating its suitability for use in a lightweight algorithm in future work.…”
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On efficiency of methods and algorithms for solving optimization problems considering objective function specifics by E. N. Ostroukh, Yu. O. Chernyshev, L. N. Evich, P. A. Panasenko

“…New methods to solve the specified problem are developed. A computer experiment was conducted on a number of test functions; its analysis was performed, showing the efficiency of various combinations on various functions.Research Results. …”
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Climate action on Twitter: perceived barriers for actions and actors, and sentiments during COP26 by Xinran Wang, Madeline Judge, Linda Steg

“…By incorporating big data computational methods with a theory-based qualitative analysis, we aimed to identify climate actions and actors at the international, national, local, and individual levels, and systematically evaluate the perceived barriers and enablers in taking action and related public sentiments. …”
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BETAV: A Unified BEV-Transformer and Bézier Optimization Framework for Jointly Optimized End-to-End Autonomous Driving by Rui Zhao, Ziguo Chen, Yuze Fan, Fei Gao, Yuzhuo Men

“…Experimental evaluations on Nuscences benchmark datasets and simulations demonstrate that our framework achieves state-of-the-art performance in trajectory prediction and planning tasks, exhibiting superior robustness and generalization across diverse and challenging Bench2Drive driving scenarios.…”
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Transmission and Generation Expansion Planning Considering Virtual Power Lines/Plants, Distributed Energy Injection and Demand Response Flexibility from TSO-DSO Interface by Flávio Arthur Leal Ferreira, Clodomiro Unsihuay-Vila, Rafael A. Núñez-Rodríguez

“…Case studies using a Garver 6-node system and the IEEE RTS-GMLC were carried out to validate the model and evaluate the values and impacts of local flexibility on transmission system expansion. …”
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Simulation and Optimization of Conveying Parameters for Vertical Screw Conveyor Based on CFD + DEM by Xiao Mei, Xiaoyu Fang, Liyang Zhang, Yandi Wang, Yuan Tian

“…A combined simulation approach integrating the Discrete Element Method and Computational Fluid Dynamics was employed to model both single-phase particle flow and gas–solid two-phase flow. …”
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Quantitative CT Assessment of Pulmonary Fibrosis Severity in Patients with Connective Tissue Disease-associated Interstitial Lung Disease by Ke WANG, Zitao HU, Lulu CUI, Shengya GUO, Xiaoqi HUANG

“…Pulmonary fibrosis was evaluated using the Warrick score and the 3D slicer-based density histogram method. …”
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An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing by Estefania Alfaro-Mejia, Carlos J. Delgado, Vidya Manian

“…An elliptical kernel is then applied to compute spectral distances and generate an adjacency matrix based on elliptical neighborhoods. …”
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Development of the PeeR Investigators Mentoring Experiences in Research (PRIMER) program: a peer mentoring initiative to increase mentoring in CUREs by Samuel H. Neely, Raquel Meyer Nunes, Arlene Garcia, Charles Donate, Rocio Benabentos, Melissa McCartney, Jessica Siltberg-Liberles

“…This program leverages PRIMER’s prior research experience in computational biology courses to mentor students in our bioinformatics-focused CUREs. …”
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Wind farm control part II: Model requirements to design and test wind farm flow control by Adam Stock, Scott Dallas, Valentin Chabaud, Konstanze Kölle, Laurence Morgan, John Olav Tande, Olimpo Anaya‐Lara

“…Abstract Wind farm flow control (WFFC) is an emerging technology involving coordinated operation of wind turbines within a wind farm to achieve collective goals. To design and evaluate controllers, wind farm flow models are used that capture the key aerodynamics of the system whilst remaining computationally efficient for iterative controller design. …”
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CKAN-YOLOv8: A Lightweight Multi-Task Network for Underwater Target Detection and Segmentation in Side-Scan Sonar by Yao Xiao, Hualong Yang, Dongchen Dai, Hongjian Wang, Ziqi Shan, Hao Wu

“…Underwater target detection and segmentation in Side-Scan Sonar (SSS) imagery is challenged by low signal-to-noise ratios, geometric distortions, and Unmanned Underwater Vehicles (UUVs)’ computational constraints. This paper proposes CKAN-YOLOv8, a lightweight multi-task network integrating Kolmogorov–Arnold Networks Convolution (KANConv) into YOLOv8. …”
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DSR-YOLO: A lightweight and efficient YOLOv8 model for enhanced pedestrian detection by Mustapha Oussouaddi, Omar Bouazizi, Aimad El mourabit, Zine el Abidine Alaoui Ismaili, Yassine Attaoui, Mohamed Chentouf

“…Evaluated on the CityPersons dataset, DSR-YOLO outperformed YOLOv8n with a 14.9 % increase in mAP@50 and 6.3 % increase in mAP@50:95, while maintaining competitive FLOPS, parameter counts, and inference speed.…”
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Comparison of QCT and DXA: Osteoporosis Detection Rates in Postmenopausal Women by Na Li, Xin-min Li, Li Xu, Wei-jie Sun, Xiao-guang Cheng, Wei Tian

“…Lumbar CT images of patients who had a discrepancy between QCT and DXA findings were reviewed to evaluate vertebral fractures, spinal degeneration, and abdominal aortic calcification. …”
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Engineering End-to-End Remote Labs Using IoT-Based Retrofitting by Savitha Viswanadh Kandala, Akshit Gureja, Nagesh Walchatwar, Rishabh Agrawal, Shiven Sinha, Sachin Chaudhari, Karthik Vaidhyanathan, Venkatesh Choppella, Prabhakar Bhimalapuram, Harikumar Kandath, Aftab Hussain

“…RLabs is qualitatively evaluated against seven non-functional attributes - affordability, portability, scalability, compatibility, maintainability, usability, and universality. …”
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