Development of advanced containment thermal-hydraulic analysis methodology based on three-field model codes for APR1400 by Seong-ho Jee, Yong-Ju Cho, Kum-Ho Han, Jisu Kim, Sung-yong Kim, Je-woo Cho, Jehee Lee, Yeon-Jun Choo, Jeong-ju Kim, Chan-eok Park, Seok-jeong Park, Sun-Hong Yoon, Soon-Joon Hong

“…Advanced ME (Mass and Energy) release analysis methodology and PT (Pressure and Temperature) analysis methodology were developed using advanced thermal-hydraulic computer codes of three-field model for the Gen-III reactor, APR1400. …”
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Online Prediction and Correction of Static Voltage Stability Index Based on Extreme Gradient Boosting Algorithm by Huiling Qin, Shuang Li, Juncheng Zhang, Zhi Rao, Chengyu He, Zhijun Chen, Bo Li

“…The XGBoost algorithm is utilized to evaluate the real-time stability of grid static voltage, with the voltage stability L-index as the prediction target. …”
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Posttraumatic Isolated Diffuse SAH Because of Atlas (C1) Fracture Involving Transverse Process without Vertebral Artery Injury: A Case Report by Akshay Patil, Sandip Iratwar, Ashish Jha

“…He was evaluated by angiogram that was suggestive of no major vascular involvement. …”
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Case Report: Dental autotransplantation for the resolution of odontogenic sinusitis using 3D replication by Henry Paul Valverde Haro, Henry Paul Valverde Haro, Adriana Denisse Erazo Conde

“…A 27-year-old patient with no relevant medical history was evaluated for pain and discomfort in fractured teeth with previous endodontic treatments and odontogenic sinusitis. …”
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PyTomography: A python library for medical image reconstruction by Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro Esquinas, Arman Rahmim, Carlos Uribe

“…The purpose of this research was to create and evaluate a GPU-accelerated, open-source, and user-friendly image reconstruction library, designed to serve as a central platform for the development, validation, and deployment of various tomographic reconstruction algorithms. …”
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Measuring Semantic Relatedness between Flickr Images: From a Social Tag Based View by Zheng Xu, Xiangfeng Luo, Yunhuai Liu, Lin Mei, Chuanping Hu

“…Relatedness measurement between multimedia such as images and videos plays an important role in computer vision, which is a base for many multimedia related applications including clustering, searching, recommendation, and annotation. …”
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Closed form solutions of bending Bi-directional functionally graded tapered beams using Euler and Timoshenko theories by Omar K. Omar, Mohammad Alshawabkeh, H. Alkhatib

“…Employing both Euler-Bernoulli and Timoshenko beam theories, the research provides a step-by-step derivation methodology, validated through detailed formulations and computational tools such as Maple software. The analysis examines the effects of material gradation, geometric tapering, and shear deformation on beam behavior, offering comprehensive displacement and stress evaluations. …”
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Building an Adaptive AI-Powered Higher Education Class for the Future of Engineering: A Case Study from NTUA by Maria Karoglou, Ioana Ghergulescu, Marina Stramarkou, Christos Boukouvalas, Magdalyni Krokida

“…A group of undergraduate students evaluated the system’s usability and educational efficiency. …”
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Decom-UNet3+: A Retinal Vessel Segmentation Method Optimized With Decomposed Convolutions by Qun Li, Juntao Zhang, Licheng Hua, Songyin Fu, Chenjie Gu

“…The results demonstrates that Decom-UNet3+ effectively improves vascular segmentation performance with lower computational cost and parameter overhead, offering a more efficient and robust solution for automated retinal disease screening.…”
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Stable matching-enhanced MOEA/D for solving multi-objective optimal power flow problems by Ebrahim Akbari, Amin Khodabakhshian, Abolfazl Rahimnejad, Stephen Andrew Gadsden

“…The proposed method ensures a balanced and effective trade-off between solution accuracy and diversity in multi-objective optimization. Comparative evaluations against well-established algorithms demonstrate the superior performance of the proposed approach in approximating the Pareto front, improving computational efficiency, and maintaining solution diversity. …”
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Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer by En-Jui Liu, Yan-Hao Huang, Wei-Lun Lin, Chen-Kai Wen, Chun-I Lin

“…The PO’s performance is benchmarked against four advanced metaheuristic algorithms using convergence curves, error bars, and boxplots to evaluate its robustness. Results show that PO demonstrates strong adaptability and reliable performance in PV parameter optimization. …”
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Community Needs Assessment (CNA): Basis for community development in select communities in Gubat, Sorsogon, Philippines by Demetrio Esperanzate Castillo, Gilbert Egana Lopez, Rosemarie Romero Jadie, Rene Bailon Hermo

“…Community Needs Assessment (CNA) is an approach to evaluate the community’s needs systematically. This study presents the findings of the CNA, which were conducted primarily to assess the community needs as the basis for community development interventions in selected communities in the municipality of Gubat, Sorsogon, Philippines. …”
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Fast and accurate prediction of drug induced proarrhythmic risk with sex specific cardiac emulators by Paula Dominguez-Gomez, Alberto Zingaro, Laura Baldo-Canut, Caterina Balzotti, Borje Darpo, Christopher Morton, Mariano Vázquez, Jazmin Aguado-Sierra

“…Abstract In silico trials for drug safety assessment require many high-fidelity 3D cardiac simulations to predict drug-induced QT interval prolongation, which is often computationally prohibitive. To streamline this process, we developed sex-specific emulators for a fast prediction of QT interval, trained on a dataset of 900 simulations. …”
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Risk Factors of Severe Disease and Methods for Clinical Outcome Prediction in Patients with COVID-19 (Review) by S. V. Sokologorskiy, A. M. Ovechkin, I. V. Khapov, M. E. Politov, E. L. Bulanova

“…Large population studies using statistical analysis and mathematical computer modeling could be an effective tool in studying COVID-19. …”
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Quantifying Three-Dimensional Street Network Orientation Entropy in Chongqing, China: Implications for Urban Spatial Order and Environmental Perception by Hao Rao, Leyao Chen, Cui Liu

“…This study proposes a three-dimensional (3D) orientation entropy framework by integrating elevation data, providing a more comprehensive assessment of urban spatial complexity. We developed a computational workflow combining ArcGIS 10.8 for spatial data extraction and Python 3.10.10 for entropy calculation. …”
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Research on cutting mechanism and process optimization method of gear skiving by Peng Wang, Yuanchao Ni, Xiaoqiang Wu, Jiaxue Ji, Geng Li, Jiahao Wu

“…Then, an orthogonal experiment is designed and the method of range analysis is employed to evaluate the significance of each process parameter. …”
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Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system by A. Schierbaum, T. Neiss-Theuerkauff, T. Luhmann, F. Wallhoff, T. Sieberth

“…Knee arthroplasty benefits significantly from computer-assisted navigation, which improves the accuracy of prosthesis placement. …”
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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

“…Numerical experiments are conducted to evaluate the performance of clustering quality metrics such as profile coefficients. …”
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A Hybrid Methodology of Data Science and Decision Making Techniques: Lessons from COVID-19 Pandemic Management by mehdi dadehbeigi, ali taherinezhad, alireza alinezhad

“…Computational results are presented in detail and discussed in depth.…”
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Optimal Design of Ejector for Fuel Cell Engine by YUN Haitao, HU Shuai, LI Zhenghui, WEI Yongqi

“…Aiming at the application of the ejector in the fuel cell engine for vehicles, by fitting the experimental data of anode pressure drop of 40kwlevel proton exchange membrane fuel cell (PEMFC), the relationship expression between anode pressure drop and current was obtained The threedimensional ejector numerical model of anode hydrogen circulation system was established by the computational fluid dynamics (CFD) method, whose accuracy is verified by the experimental data Finally, the fitted anode pressure drop expression is applied to the simulation optimization of the model The performance of the ejector under the whole operating range of the target system was measured, and the optimum values of main sizes is determined, including nozzle throat diameter, mixing chamber diameter, mixing chamber length, and the nozzle position relative to the mixing section The simulation results show that, compared with the constant pressure drop model, the ejector model established in this paper can more accurately evaluate the operating performance of the ejector under the entire operating conditions, and at the same time, the optimized ejector under the studied operating conditions can maintain the hydrogen recirculation ratio above 12…”
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