Three-dimensional digital design of orthopedic surgery for idiopathic scoliosis deformity: A case series by Bao Liu, Lu-Lu Huang, Huan-Wen Ding, Xian-Ming Zeng, Ge-Qin Sun, Mi-Weng Jiang, Ying-Qiang Liao, Hai-Ru Qi

“…Objective To establish a new method of three-dimensional digital design for orthopedic surgery of idiopathic scoliosis deformity and evaluate its application value in surgical treatment. …”
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Trade-Off Studies of a Radiantly Integrated TPV-Microreactor (RITMS) Design by Naiki Kaffezakis, Dan Kotlyar

“…While providing an introduction to the concept, the early RITMS work lacked an integrated computational sequence and economics-by-design approach, resulting in a failure to fully capture the physics of the system or to properly evaluate design parameter importance. …”
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Using Eye-Movement Events to Determine the Mental Workload of Surgical Residents by Gonca Gökçe Menekşe Dalveren, Nergiz Ercil Cagiltay

“…This information might be very critical to properly design and organize instructional materials for endo-neurosurgery, and also to better guide and evaluate the progress of trainees in computer simulation-based skill training environments.…”
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ONLINE and multi-objective trajectory planner for robotic systems by Habib Mohamad, Sadjaad Ozgoli

“…Given the need for efficient real-time implementation with low computational demands, the kinematic method is indispensable. …”
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Conversational LLM-Based Decision Support for Defect Classification in AFM Images by Angona Biswas, Jaydeep Rade, Nabila Masud, Md Hasibul Hasan Hasib, Aditya Balu, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

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Using multiple drug similarity networks to promote adverse drug event detection by Biswajit Padhi, Ruoqi Liu, Yuedi Yang, Xueqiao Peng, Lang Li, Pengyue Zhang, Ping Zhang

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Intelligent Course Plan Recommendation for Higher Education: A Framework of Decision Tree by Xiaoliang Chen, Jianzhong Zheng, Yajun Du, Mingwei Tang

“…The issue of how to timely update the talent training plans for computer major in a university has received considerable critical attention. …”
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Review on Distribution System State Estimation Considering Renewable Energy Sources by Hanshan Qing, Abhinav Kumar Singh, Efstratios Batzelis

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Analysis of the Effectiveness of the Use of Liquid Crystal Glasses in the Functional Treatment of Congenital Partial Atrophy of the Optic Nerve by I. E. Aznauryan, S. I. Rychkova, S. G. Agagulyan, V. O. Balasanyan, N. I. Kurysheva, A. B. Laver

“…Along with a standard ophthalmological examination, the deviation value and amplitude of fusion were evaluated using the computer program “Klinok”, as well as visual memory indicators were determined using the computer program “Expo”. …”
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An Agglomerative Clustering Combined with an Unsupervised Feature Selection Approach for Structural Health Monitoring by Tales Boratto, Heder Soares Bernardino, Alex Borges Vieira, Tiago Silveira Gontijo, Matteo Bodini, Dmitriy A. Martyushev, Camila Martins Saporetti, Alexandre Cury, Flávio Barbosa, Leonardo Goliatt

“…In addition, these features are also evaluated in terms of their relevance, and the most important ones are selected for a new execution of the computational procedure. …”
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Large Language Model-Powered Protected Interface Evasion: Automated Discovery of Broken Access Control Vulnerabilities in Internet of Things Devices by Enze Wang, Wei Xie, Shuhuan Li, Runhao Liu, Yuan Zhou, Zhenhua Wang, Shuoyoucheng Ma, Wantong Yang, Baosheng Wang

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Research on knowledge tracing based on learner fatigue state by Haoyu Wang, Qianxi Wu, Chengke Bao, Weidong Ji, Guohui Zhou

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Identification of Influential Nodes via Effective Distance-based Centrality Mechanism in Complex Networks by Aman Ullah, Bin wang, Jinfang Sheng, Jun Long, Nasrullah Khan

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HIDS-RPL: A Hybrid Deep Learning-Based Intrusion Detection System for RPL in Internet of Medical Things Network by Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi

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Tackling Blind Spot Challenges in Metaheuristics Algorithms Through Exploration and Exploitation by Matej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik

“…The experimental results show that LTMA+ improves the success rates for all the tested MAs on the Blind Spot benchmark statistically significantly, enhances solution accuracy, and accelerates convergence to the global optima compared to standard MAs with and without LTMA. Furthermore, evaluations on standard benchmarks without blind spots, such as CEC’15 and the soil model problem, confirm that LTMA+ maintains strong optimization performance without introducing significant computational overhead.…”
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A novel Fractional fuzzy approach for multi-criteria decision-making in medical waste management by Muhammad Amad Sarwar, Yuezheng Gong, Sarah A. Alzakari, Amel Ali Alhussan

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EnGCI: enhancing GPCR-compound interaction prediction via large molecular models and KAN network by Weihao Liu, Xiaoli Li, Bo Hang, Pu Wang

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Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? by Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian

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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

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L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling by Emmanuel Oluwatobi Asani, Mojiire Oluwaseun Ayoola, Emmanuel Tunbosun Aderemi, Victoria Oluwaseyi Adedayo-Ajayi, Joyce A. Ayoola, Oluwatobi Noah Akande, Jide Kehinde Adeniyi, Oluwambo Tolulope Olowe

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