Value of a combined magnetic resonance-enhanced and diffusion-weighted imaging dual-sequence radiomics model in predicting the efficacy of high-intensity focused ultrasound ablatio... by Xiao Huang, Li Shen, Yuyao Liu, Qingxue Li, Shanwei Bai, Fang Wang, Quan Yang

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A prognostic PET radiomic model for risk stratification in non-small cell lung cancer: integrating radiogenomics and clinical features to predict survival and uncover tumor biology... by Parisa Taheri, Aaron Golden

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Reduction of air-sea momentum flux due to whitecap residual foam observed during a laboratory experiment by Meng Lyu, Henry Potter, Peisen Tan, Brian K. Haus, Milan Curcic, Xin Yang

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Quantifying Seepage and Evaporation Loss Reductions through Canal Lining: A Field Study from Nakada, Egypt by Hassan Ahmed, Muhammad Gaber, Hassan Mohamed, Wael El Sadek

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Machine learning-driven prognostic prediction model for composite small cell lung cancer: identifying risk factors with network tools and validation using SEER data and external co... by Fei Li, Mengfan Zhao, Linlin Cao, Shuai Qie

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Development of a Diagnostic Prediction Model for Post‐Stroke Cognitive Impairment in Acute Large Vessel Occlusion Stroke Using Multimodal MRI and PET/CT: A Study Protocol by Junhao Li, Yuding Luo, Pingchuan Liu, Jiali Zhang, Chuanxi Duan, Hai Xiong, Maoxia Li, Binyang Zhang, Lu Li, Lulu Gong, Yupeng Niu, Bo Zheng, Jian Wang

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Developing and validating a machine learning-based model for predicting in-hospital mortality among ICU-admitted heart failure patients: A study utilizing the MIMIC-III database by De Su, Jie Zheng, Yue-kai Shao, Jun-ya Liu, Xin-xin Liu, Kun Yu, Bang-hai Feng, Hong Mei, Song Qin

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The Roles of Growth Language Mindset, Metacognitive Strategies, and Language Learning Self-Efficacy in Predicting L2 Willingness to Communicate: A Network Analysis and a Chain Medi... by Yuk-Hong Ho, Aitao Lu, Siyi Liu, Wanyi Chen, Jingtao Huang, Minyun Zheng

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Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy perfor... by Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA

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Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of <i>Michelia chapensis</i> by Chenbin Shen, Xi Chen, Chao Zhou, Lingzi Xu, Mingyi Qian, Hongbo Zhao, Kun Li

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Development of a multidimensional prediction model for long-term prognostic risk in patients with acute coronary syndromes after percutaneous coronary intervention: A retrospective... by Bojian Wang, Yanwei Du, Pengyu Cao, Min Liu, Jinting Yang, Ningning Zhang, Wangshu Shao, Lijing Zhao, Rongyu Li, Lin Wang

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Generating Rainfall IDF Curves Using IMD Reduction Formula and Choosing the Best Distribution for Babylon City, Iraq by Sajad Khalil Al‐Jalili, Haider M. Zwain, Ali Mohsen Hayder

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Nec‐1 alleviates cognitive impairment with reduction of Aβ and tau abnormalities in APP/PS1 mice by Seung‐Hoon Yang, Dongkeun Kenneth Lee, Jisu Shin, Sejin Lee, Seungyeop Baek, Jiyoon Kim, Hoyong Jung, Jung‐Mi Hah, YoungSoo Kim

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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

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Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and laboratory pa... by Jing Zhang, Cheng Zhang, Xi Zhang, Wuchen Yang, Jingya Liu, Yang Gou, Xingqin Huang, Maoshan Chen, Dezhi Huang, Shengwang Wu, Shuiqing Liu, Xiangui Peng

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The development of a C5.0 machine learning model in a limited data set to predict early mortality in patients with ARDS undergoing an initial session of prone positioning by David M. Hannon, Jaffar David Abbas Syed, Bairbre McNicholas, Michael Madden, John G. Laffey

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Assessment of Information predictability of stochastic processes by A. V. Ausiannikau

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Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally v... by Takayuki Fujii, Koichi Murata, Hirohiko Kohjitani, Akira Onishi, Kosaku Murakami, Masao Tanaka, Wataru Yamamoto, Koji Nagai, Ayaka Yoshikawa, Yuki Etani, Yasutaka Okita, Naofumi Yoshida, Hideki Amuro, Tadashi Okano, Yo Ueda, Takaichi Okano, Ryota Hara, Motomu Hashimoto, Akio Morinobu, Shuichi Matsuda

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Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemora... by Jinyu Shi, Lian Wang, Min Zhou, Shushan Ge, Shushan Ge, Bin Zhang, Jiangqin Han, Jihui Li, Shengming Deng, Shengming Deng

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Fumarate and nitrate reduction regulator (FNR) modulates hypermucoviscosity and virulence in hypervirulent Klebsiella pneumoniae through anaerobic adaptation by Yidan Xu, Ruolan Guo, Ruomei Wang, Zhe Su, Yulu Wu, Chengbin Xie, Pinjia Wang

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