Two-Layer MPC Virtual Inertia Control Strategy for Small-Scale Variable-Speed Pumped Storage Unit with Full-Size Converter by Changhao XU, Weidong GUAN, Yue WANG, Jinshuai ZHANG, Peng WANG, Ning ZHOU, Bowen SHANG

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A comparative study on trajectory tracking control methods for automated vehicles by Dequan Zeng, Shicong Pan, Yinquan Yu, Yiming Hu, Jinwen Yang, Peizhi Zhang, Lu Xiong, Giuseppe Carbone, Letian Gao

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Prospective evaluation of mpMRI-derived nomograms for detecting prostate cancer in PI-RADS v2.1 upgraded and non-upgraded lesions by Ying Yi, Hang Wang, Dongliang Cheng, Zhifeng Xu, Xianhai Zhang, Chun Luo, Hai Zhao

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A higher preoperative total protein to albumin ratio independently predicted more severe postoperative acute kidney injury in patients with acute type A aortic dissection: a retros... by Xiuhua Wang, Hui Xu, Guowei Tu, Hao Lai, Jiarui Xu, Xin Li, Zhe Luo

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Assessment of large language models’ performances and hallucinations for Chinese postgraduate medical entrance examination by Hongfei Ye, Jian Xu, Danqing Huang, Meng Xie, Jinming Guo, Junrui Yang, Haiwei Bao, Mingzhi Zhang, Ce Zheng

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Analysis of long-term trends and 15-year predictions of smoking-related bladder cancer burden in china across different age and sex groups from 1990 to 2021 by Jieming Zuo, Junhao Chen, Zhiyong Tan, Xingcheng Zhu, Haifeng Wang, Shi Fu, Jiansong Wang

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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning by Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

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Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods by Mingyang Zang, Pooja Mukund, Britney Forsyth, Andrew F. Laine, Kaveri A. Thakoor

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A nomogram for predicting the risk of peritoneal dialysis-associated peritonitis in patients with end-stage renal disease undergoing peritoneal dialysis: model development and vali... by Yuehong Wang, Zhimin Wu, Liuqi Huang, Dan Suo, Min Zhang, Meifen Dai, Tianhui You, Jing Zheng

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Prediction of population aging trend and analysis of influencing factors based on grey fractional-order and grey relational models: a case study of Jiangsu Province, China by Xiaojun Guo, Ying Wu, Yueyue Wang, Houxue Shen, Yingjie Yang, Yun Fan

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Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

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Modest Insights from Grammar to Growth: A Neutrosophic Numbers Model for Measuring English Teaching Outcomes in University Contexts in a Preliminary Approach by Yisen Zhao

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Phytochemical profiling and network pharmacology-based prediction of Pelargonium graveolens essential oil in the context of Guillain-Barré syndrome by Abdullah Haikal, Abdelrahman Hamdi, Aya M. Almatary

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The construction of a risk prediction model for the impact of tidal volume in postoperative patients with intracerebral hemorrhage using neural-assisted mechanical ventilation base... by Zihao Zhou, Lin Yao, Cui Chen, Baosong Han, Rongrong Wu

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Structural bioinformatics approaches for predicting novel drug targets in hepatitis C virus proteins: a comprehensive analysis by Miao Qu, Mingzhu Gao, Xisheng Sang, Miao Yu, Zihe Guan, Weizhi Chang

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MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes by Awais Ahmed, Xiaoyang Zeng, Rui Xi, Mengshu Hou, Syed Attique Shah

“…To bridge these gaps, this study introduces a novel MED-Prompt framework that employs pretrained models such as BERT, BioBERT, and ClinicalBERT. The core of our framework lies in developing specialized prompts, which act as guiding instructions for the models during the prediction process. …”
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A data-driven supervised machine learning approach to estimating global ambient air pollution concentrations with associated prediction intervals by Liam Jordan Berrisford, Hugo Barbosa, Ronaldo Menezes

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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

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Photovoltaic Farm Power Generation Forecast Using Photovoltaic Battery Model with Machine Learning Capabilities by Agboola Benjamin Alao, Olatunji Matthew Adeyanju, Manohar Chamana, Stephen Bayne, Argenis Bilbao

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