1990—2021年中国归因于高LDL-C的卒中死亡负担变化趋势及预测分析 Trends and Predictive Analysis of the Burden of Stroke Deaths Attributable to High LDL-C in China from 1990 to 2021... by 张永庆1，2，李娜1，2，高伊丽1，2，秦佳文1，2，俞海萍1，2，赵婷婷3 (ZHANG Yongqing1,2, LI Na1,2, GAO Yili1,2, QIN Jiawen1,2, YU Haiping1,2, ZHAO Tingting3 )

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Queuing Delay Reduction based on Network Traffic Patterns: A Predictive QoS Framework For Point-To-Point Communications by Espinal Albert, Sanchez Padilla V.

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Modelling Tyre-Road Noise with Data Mining Techniques by Elisabete Fraga FREITAS, Joaquim TINOCO, Francisco SOARES, Jocilene COSTA, Paulo CORTEZ, Paulo PEREIRA

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Dual prompt personalized federated learning in foundation models by Ying Chang, Xiaohu Shi, Xiaohui Zhao, Zhaohuang Chen, Deyin Ma

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Efficient equivariant model for machine learning interatomic potentials by Ziduo Yang, Xian Wang, Yifan Li, Qiujie Lv, Calvin Yu-Chian Chen, Lei Shen

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Classroom Teachers' Competencies in Using Web 2.0 Tools: Predictive Roles of Individual Innovative Characteristics and Socio-demographic Variables by Dilek Üstün Konur, Hasan Fehmi Özdemir, Ömer Nayci

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Reply to Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper Vrugt by Tao Huang, Venkatesh Merwade

“…Jasper Vrugt on the Metropolis‐Hastings (M‐H) algorithm with multiple independent Markov chains proposed by Huang and Merwade (2023a), https://doi.org/10.1029/2023wr034947 concerning the validity of the methodology in estimating Bayesian model averaging (BMA) parameters (weights and variances) of the framework proposed by Raftery et al. (2005), https://doi.org/10.1175/mwr2906.1. …”
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An Empirical Comparison of Urban Road Travel Time Prediction Methods—Deep Learning, Ensemble Strategies and Performance Evaluation by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

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Atmospheric Transport Modeling of CO2 With Neural Networks by Vitus Benson, Ana Bastos, Christian Reimers, Alexander J. Winkler, Fanny Yang, Markus Reichstein

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Developing an Automated Model-Based Software Testing Tool From the Design Phase by Rasha Gh. Alsarraj, Atica M. Altaie, Esra Zuhair Majeed

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Visual tracking by matching points using diffusion model by Mohamad Alansari, Iyyakutti Iyappan Ganapathi, Sara Alansari, Hasan Al Marzouqi, Sajid Javed

“…In the second stage, the predicted regions are input into the Segment Anything Model 2 (SAM2), which refines them into accurate per-frame segmentation masks. …”
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Enhanced Prediction of Bond Strength in Corroded RC Structures Using Advanced Feature Selection and Ensemble Learning Framework by Jin-Yang Gui, Zhao-Hui Lu, Chun-Qing Li

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Perceptions of Students, Instructors and Teachers of Three University Programs Regarding Virtualization and In-person Human Anatomy Courses During the COVID-19 Pandemic in 2020 and... by Suárez Escudero, Juan Camilo, Ocampo Ramírez, Sara Manuela, Goldfeder de Gracia, Sydney Stephanie

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Social support and anxiety, a moderated mediating model by Liyuan Yang, Ning Wang, Dan Li, Xuesen Zhao, Mofei Wen, Yichi Zhang, Yang Liu

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Inertial sensor-based heel strike and energy expenditure prediction using a hybrid machine learning approach by Kethohalli R Vidyarani, Viswanath Talasila, Raafay Umar, Venkatesan Prem, Ravi Prasad K Jagannath, Gurusiddappa R Prashanth

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Suitable Planting Area Prediction for Two <i>Arnebia</i> Species: An Analysis Based on Habitat and Phytochemical Suitability by Yanlin Wang, Shuo Yan, Shanshan Gao, Huanchu Liu, Qi Wang

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The Dark Side of Leisure Time: Analysis of the Predictive Effects Between Boredom, Internet Usage Habits, and Gambling Behaviors by Esra Emir, Elif Akça, Adela Badau, Dana Badau

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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

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Prediction of progressive fibrosing interstitial lung disease in patients with systemic sclerosis: insight from the CRDC cohort study by Xiaofeng Zeng, Yong Hou, Qian Wang, Jiuliang Zhao, Mengtao Li, Dong Xu, Xinwang Duan, Jiaxin Zhou, Min Hui

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Possibilities and challenges of collaborative teaching networks between university and school: a multi-case study by Almudena Ocaña-Fernández, Analía E. Leite-Méndez, José L. Del Río-Fernández, Virgina Martagón-Vázquez

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