Burden, trends, and predictions of five major musculoskeletal disorders in China, Japan, and South Korea: analysis based on the Global Burden of Disease Study 2021 by Xinyue Yin, Tingting Deng, Rui Ma, Xiaomei Fu, Ying Yin, Xuemin Jia, Fanjie Liu

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Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for Staphylococcus aureus via metagenomic sequencing by Xuefeng Jia, Yongfen Xiong, Yanping Xu, Fangyuan Chen, Peng Han, Jieming Qu, Quanli He, Guanhua Rao

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A pediatric emergency prediction model using natural language process in the pediatric emergency department by Arum Choi, Chohee Kim, Jisu Ryoo, Jangyeong Jeon, Sangyeon Cho, Dongjoon Lee, Junyeong Kim, Changhee Lee, Woori Bae

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Evaluation of Shelf Life Prediction for Broccoli Based on Multispectral Imaging and Multi-Feature Data Fusion by Xiaoshuo Cui, Xiaoxue Sun, Shuxin Xuan, Jinyu Liu, Dongfang Zhang, Jun Zhang, Xiaofei Fan, Xuesong Suo

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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

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Beyond admission scores: evaluating GAT, SAAT, and English proficiency as predictors of physics performance in health science education by Abdulaziz Althewini

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Prevalence, associated risk factors and satellite imagery analysis in predicting soil-transmitted helminth infection in Nakhon Si Thammarat Province, Thailand by Jarawadee Muenjak, Jutarat Thongrod, Chanakan Choodamdee, Pongphan Pongpanitanont, Manachai Yingklang, Tongjit Thanchomnang, Sakhone Laymanivong, Penchom Janwan

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Explainable artificial intelligence for predicting medical students’ performance in comprehensive assessments by Haniye Mastour, Toktam Dehghani, Ehsan Moradi, Saeid Eslami

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Analytical prediction of groundwater loss in deep coal mines induced by ground vibration by Pieride Mabe Fogang, Bingjie Huo, Hervé Losaladjome Mboyo, Rong Hai, Songtao Zhang, Lesly Dasilva Wandji Djouonkep, Dieudonné Bisso

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OPTIMIZED FACEBOOK PROPHET FOR MPOX FORECASTING: ENHANCING PREDICTIVE ACCURACY WITH HYPERPARAMETER TUNING by Nur Alamsyah, Venia Restreva Danestiara, Budiman Budiman, Reni Nursyanti, Elia Setiana, Acep Hendra

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Machine Learning Models for Tracking Blood Loss and Resuscitation in a Hemorrhagic Shock Swine Injury Model by Jose M. Gonzalez, Ryan Ortiz, Lawrence Holland, Austin Ruiz, Evan Ross, Eric J. Snider

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Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome o... by Jakob Blaß, Benjamin Iffland, Philipp Herzog, Tim Kaiser, Thomas Elbert, Carolin Steuwe

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Predicted oxaloacetate activity, gene expression and viability of human dermal fibroblasts by Nataliya A. Kolotyeva, Larisa V. Limareva, Frida N. Gilmiyarova, Violetta V. Boltovskaya, Pavel V. Ilyasov, Oksana A. Gusyakova, Vasily V. Remizov

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Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks by Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar, Arindam Biswas, Hiroaki Satoh, Gurudas Mandal, Vitaliy Maksimenko, Victor Krishtop

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Role of telomere maintenance genes as a predictive biomarker for colorectal cancer immunotherapy response and prognosis by Zhikai Wang, Chunyan Zhao, Yifen Huang, Chong Li

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A predictive nomogram for incomplete clinical success after unilateral adrenalectomy in patients with primary aldosteronism by Pin Wang, Limei Liu, Sen Lu, Xianjun Zhu, Rui Zhu, Yan Yang, Guangpeng Zhou, Xu Cao

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Prediction and design of thermostable proteins with a desired melting temperature by Purva Tijare, Nishant Kumar, Gajendra P. S. Raghava

“…We created a user-friendly web server, and a Python package for predicting and designing thermostable proteins is available at https://webs.iiitd.edu.in/raghava/pptstab , https://github.com/raghavagps/pptstab .…”
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Prediction of vaccination coverage levels in populations with increasing levels of heterogeneity by Fan Bai

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Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

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Development and validation of a deep learning algorithm for prediction of pediatric recurrent intussusception in ultrasound images and radiographs by Yu-feng Qian, Wan-liang Guo

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