Evaluating the accuracy of generative artificial intelligence models in dental age estimation based on the Demirjian's method by Allan Abuabara, Thais Vilalba Paniagua Machado do Nascimento, Seandra Maria Trentini, Angela Mairane Costa Gonçalves, Maria Angélica Hueb de Menezes-Oliveira, Isabela Ribeiro Madalena, Svenja Beisel-Memmert, Christian Kirschneck, Livia Azeredo Alves Antunes, Cristiano Miranda de Araujo, Flares Baratto-Filho, Flares Baratto-Filho, Erika Calvano Küchler

“…Large language models (LLM) are increasingly being recognized for their potential applications in Dentistry. This study aimed to compare the performance of currently available generative artificial intelligence LLM technologies in estimating dental age using the Demirjian's scores.MethodsPanoramic radiographs were analyzed using Demirjian's method (1973), with each left permanent mandibular tooth classified from stage A to H. …”
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Numerical evaluation for SLAP type II tear in shoulder abduction applying the finite element method by Maria de la Luz Suarez-Hernandez, Guillermo Urriolagoitia-Sosa, Beatriz Romero-Ángeles, Francisco Carrasco-Hernández, Jacobo Martínez-Reyes, Francisco Javier Gallegos-Funes, Erick Velázquez-Lozada, Martin Ivan Correa-Corona, Jesus Manuel German-Carcaño, Guillermo Manuel Urriolagoitia-Calderón

“…The main objective was to analyze the effects of loading on the labrum and joint capsule tissues by applying an external load on the humerus, simulating the shoulder abduction movement, and obtaining stress and von Mises stress results. A case study of a healthy shoulder joint structure is developed for comparison. …”
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Method of Dynamic Modeling and Robust Optimization for Chain Transmission Mechanism with Time-Varying Load Uncertainty by Taisu Liu, Yuan Liu, Peitong Liu, Xiaofei Du

“…A robust optimization design model for the chain transmission process is formulated, with transmission accuracy and consistency as objectives. Finally, case studies are used to verify the effectiveness of the proposed method. …”
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Residual Stresses of Small-Bore Butt-Welded Piping Measured by Quantum Beam Hybrid Method by Kenji Suzuki, Yasufumi Miura, Hidenori Toyokawa, Ayumi Shiro, Takahisa Shobu, Satoshi Morooka, Yuki Shibayama

“…A quantum beam hybrid method (QBHM) was proposed that uses the circumferential residual stresses obtained by neutrons and the residual stresses obtained by the double-exposure method in a complementary use. …”
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Toward a modeling and analysis method of cyber-physical systems architecture evolution based on bigraph by Chaoze Lu, Qifeng Zou, Jianchao Zhou

“…Finally, experiments are conducted using the evolution of a smart meeting system and a vehicular networking system as case studies, validating the effectiveness of the proposed model and algorithms.…”
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Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model by Huanchun Peng, Weidong Yang

“…Then, the logic diagram is sorted out to obtain the hidden fault knowledge in the logic diagram, which is used to construct a fault knowledge graph to help achieve cause localization and rapid troubleshooting. The methods proposed in this paper are all validated through case studies of abnormal low-pressure faults in domestic commercial aircraft hydraulic systems. …”
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An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points by Weihua Zhou, Bin Liu, Nabil Mohammed, Behrooz Bahrani

“…Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs. …”
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Uncertain Particle Filtering: A New Real-Time State Estimation Method for Failure Prognostics by Jingyu Liang, Yinghua Shao, Waichon Lio, Jie Liu, Rui Kang

“…Resampling techniques are introduced to mitigate particle phagocytosis, thereby improving computational accuracy and efficiency. Two case studies, addressing the degradation of the capacitor in an enhanced electromagnetic railgun and the degradation of the battery, are conducted to verify the effectiveness of the proposed UPF method. …”
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A New Method of Seismic Source Parameter Estimation of a Locked-Segment Cracking Event by Bai-Cun Yang, Jian-Xin Bai, Yong-Ting Duan, null Cheng Cheng

“…Using this equation, we established a mechanical relationship between the earthquake magnitude and the stress drop or shear strain increment (or maximum coseismic displacement) of a locked-segment cracking event. Typical case studies of rock slope and rock underground engineering showed that the proposed calculation method of seismic source parameters was reliable. …”
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Optimal Identification for Dynamic PV Cell Parameter Based on a Data-Extension-Driven Method by Yun Long, Youfei Lu, Li Wang, Tao Bao, Chen Chen

“…To confirm the performance of the proposed algorithm in this paper, this paper expands based on the actual external characteristic data of different proportions and uses the general PV simulation model to conduct comparative tests on various commonly used algorithms. The case studies under different scenarios show that the proposed algorithm can provide a more reliable and well-represented fitness function to the metaheuristic algorithms. …”
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Method for Increasing the Energy Efficiency of the Gear Teeth Cutting Process by Smoothing the Cutting Force Variation by Gabriel Radu Frumusanu, Mihail Bordeanu, Florin Susac

“…A technical solution for method implementation in practice is also presented.…”
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A Data-Driven Method for Deriving the Dynamic Characteristics of Marginal Carbon Emissions for Power Systems by Bing Fang, Jiayi Zhang, Shuangyin Chen, Li Li, Shanli Wang, Mingzhe Wen

“…Then, a Graphical Neural Network (GNN) is adopted to map both the spatial and temporal relationship between nodal marginal emission and other features, thereby identifying the marginal emission characteristics for different nodes of power transmission systems. Through case studies, fine-tuned GNNs estimate all nodal marginal emission factor (NMEF) values for power systems without the requirement of OPF simulation and achieve a 5.75% Normalized Root Mean Squared Error (nRMSE) and 2.52% Normalized Mean Absolute Error (nMAE). …”
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Research on High-Speed Modeling Method of Modular Multilevel Converter Valve Based on Data Derivation by Jun Zhang, Shuhong Wang, Youpeng Huangfu, Ruting Tang

“…Finally, the effectiveness and practicality of the high-speed modeling method for the MMC valve are verified through comprehensive case studies conducted on the ±320 kV onshore MMC-HVDC valve. …”
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A data-driven modeling method for secondary frequency regulation characteristic of thermal power units by LI Zhijun, SHA Qianli, YAN Xinrong, YAN Gangui, ZHU Lin, FANG Zheng, LI Junhui

“…Adaptive parameters for the three response stages during the unit's response process are determined using particle swarm optimization （PSO）. Finally， case studies are designed to validate the effectiveness and superiority of the proposed model.…”
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Power system corrective control considering topology adjustment: An evolution-enhanced reinforcement learning method by Haoran Zhang, Peidong Xu, Ji Qiao, Yuxin Dai, Yuyang Bai, Tianlu Gao, Fan Yang, Jun Zhang, Jun Hao, Wenzhong Gao

“…Furthermore, we propose the top-K strategy to ensure that generated actions comply with complex operational constraints and the Monte Carlo evaluation method to enhance training stability. Case studies conducted on 36-node and 118-node power systems demonstrate that the proposed method can ensure stable system operations via topology adjustment, re-dispatching generators, and dispatching energy storage systems. …”
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Energy Interaction and Energy Storage Sharing Optimization Method for Users, Base Stations, and Charging Stations by HU Long, FANG Baling, FAN Feilong, CHEN Dawei, LI Xinxi, ZENG Run

“…Finally, case studies validate that optimizing the energy storage and energy dispatch of industrial users, base stations, and charging stations in different time periods can effectively leverage their complementarity, enhance the economic benefits of each entity, improve the utilization of idle flexible resources, and enhance the overall energy self-consistency of the system.…”
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Steroid lifting method during endoscopic submucosal dissection: A novel strategy for stricture prevention by Masami Omae, Henrik Maltzman, Miroslav Vujasinovic, Naining Wang, Francisco Baldaque‐Silva

“…The “steroid lifting method” might be an option in this context. Large prospective studies addressing stricture formation and preventive measures on BE ESD are necessary.…”
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Vehicle Trajectory Reconstruction Method for Urban Arterial Roads Based on Multi-Source Data Fusion by Zhanhang Shi, Dong Guo, Lili Bian, Yvbin Liu, Bin Zhou, Feng Sun

“…Second, a particle filter-based trajectory self-optimization algorithm is proposed, integrating upstream and downstream fixed sensor data to iteratively correct and optimize the initial trajectories by minimizing errors, thereby enhancing trajectory accuracy and smoothness. Case studies demonstrate that the proposed method achieves outstanding performance under low PV penetration rates and in complex traffic environments. …”
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Analysis of Static Stability of Earth-Rockfill Dam Slope Based on PSO-PR-IE Method by LIU Qiankun, PAN Shiyang, LI Tongchun, LIU Baoyong

“…Firstly, through case analysis, the characteristics of the algorithm were thoroughly studied, and the similarities and dissimilarities in the outcomes between the PR-IE method and the conventional analytical methods were further elucidated. …”
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A New Two‐Stage Probabilistic Remaining Useful Life Prediction Method for Wind Turbines by Weifei Hu, Xuewei Zhou, Qing Jiao, Feng Zhao, Ning Tang, Ke Li, Zili Wang

“…The effectiveness of the proposed method is validated by two case studies using a publicly available dataset and real WT data, respectively. …”
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