Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey by Karthik Ramesh, BS, Aaron Boussina, PhD, Supreeth P. Shashikumar, PhD, Atul Malhotra, MD, Christopher A. Longhurst, MD, MS, Christopher S. Josef, MD, Kimberly Quintero, RN, MS, Jake Del Rosso, MD, Shamim Nemati, PhD, Gabriel Wardi, MD, MPH

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Risk factors for biometry prediction error by Barrett Universal II intraocular lens formula in Chinese patients by Xu-Hao Chen, Ying Hong, Xiang-Han Ke, Si-Jia Song, Yu-Jie Cen, Chun Zhang

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Predicting Unsteady Flow Parameters in a Subsonic Air Diffuser Using MacCormack’s Explicit Method by Tawfeeq Wasmi M. Salih

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Heavy Study Investment in Indonesian College Students: Do Studyholism and Study Engagement Predict Academic Resilience? by M. Fadli Nugraha, Yura Loscalzo

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Short-term Price Prediction in Initial Public Offerings Using XGBoost: Bist Technology Sector Example by Ayse Merve Acılar, Gamze Şekeroğlu

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Year patterns of climate impact models' performance: Long-term simulation of rainfed spring wheat production using five crop models under various climate patterns by Funian Zhao, Qiang Zhang, Heling Wang, Kai Zhang

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Development of a risk score for prediction of poor treatment outcomes among patients with multidrug-resistant tuberculosis. by Kefyalew Addis Alene, Kerri Viney, Darren J Gray, Emma S McBryde, Zuhui Xu, Archie C A Clements

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Analyzing and Predicting LUCC and Carbon Storage Changes in Xinjiang’s Arid Ecosystems Under the Carbon Neutrality Goal by Jie Song, Xin He, Fei Zhang, Xu Ma, Chi Yung Jim, Brian Alan Johnson, Ngai Weng Chan

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A nicotinamide metabolism-related gene signature for predicting immunotherapy response and prognosis in lung adenocarcinoma patients by Meng Wang, Wei Li, Fang Zhou, Zheng Wang, Xiaoteng Jia, Xingpeng Han

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Phenology analysis for trait prediction using UAVs in a MAGIC rice population with different transplanting protocols by Shoji Taniguchi, Toshihiro Sakamoto, Haruki Nakamura, Yasunori Nonoue, Di Guan, Akari Fukuda, Hirofumi Fukuda, Kaede C. Wada, Takuro Ishii, Jun-Ichi Yonemaru, Daisuke Ogawa

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Low expression of CADPS predicts poor prognosis in pediatric acute lymphoblastic leukemia without fusion genes by Bin Zhang, Chaoran Shi, Xiuxiu Wang, Jiajia Mi, Runan Wang, Shuang Li, Jiawei Yang, Qiuying He, Yujiao Wang, Zuofei Chi, Liangchun Hao

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Development and validation of a nomogram for predicting cancer-related fatigue in patients with glioma: a multicenter study by Qiuxia Wu, Cuiqun Su, Manxia Xing, Liangmei Ouyang

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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

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A lipid metabolism-related gene signature for risk stratification and prognosis prediction in patients with breast cancer by Wuqian Mai, Yayi Jiao, Tuo Deng

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Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI by Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood

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The Effectiveness of a Race-Based Stress Reduction Intervention on Improving Stress-Related Symptoms and Inflammation in African American Women at Risk for Cardiometabolic Disease:... by Karen L Saban, Cara Joyce, Alexandria Nyembwe, Linda Janusek, Dina Tell, Paula de la Pena, Darnell Motley, Lamise Shawahin, Laura Prescott, Stephanie Potts-Thompson, Jacquelyn Y Taylor

“…Trial RegistrationClinicalTrials.gov NCT05902741; https://www.clinicaltrials.gov/study/NCT05902741…”
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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

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A Review of the Knowledge Worker as Prompt Engineer: How Good is AI at Societal Analysis and Future Predictions? by Klaus Solberg Söilen

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A Neutrosophic Logic Ruled Based Machine Learning Approaches for Chronic Kidney Disease Risk Prediction by Bhabani S. Mohanty, Krishna Priya R, Liya Alias, R. Vijaya Kumar Reddy, Prasanta Kumar Raut, Samson Isaac, Manibharathi.D, C. Saravanakumar, Nihar Ranjan Panda, Said Broumi

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Development and approval of a Lasso score based on nutritional and inflammatory parameters to predict prognosis in patients with glioma by Huixian Li, Hui Hong, Jinling Zhang

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