ST-GPINN: a spatio-temporal graph physics-informed neural network for enhanced water quality prediction in water distribution systems by Tianwei Mu, Feiyu Duan, Baokuan Ning, Bo Zhou, Junyu Liu, Manhong Huang

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Predicting Outcomes using DIGital TechnologY in patients with Interstitial Lung Disease (PRODIGY-ILD): Protocol for a Prospective Cohort Study by Peter Doran, Sinead Holden, Michael Keane, Emer Gunne, Cormac McCarthy, Alessandro N Franciosi

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A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study. by Abir Elbéji, Mégane Pizzimenti, Gloria Aguayo, Aurélie Fischer, Hanin Ayadi, Franck Mauvais-Jarvis, Jean-Pierre Riveline, Vladimir Despotovic, Guy Fagherazzi

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Nomograms predicting survival and patterns of failure in patients with cervical cancer treated with concurrent chemoradiotherapy: A special focus on lymph nodes metastases. by Weiping Wang, Xiaoliang Liu, Qingyu Meng, Fuquan Zhang, Ke Hu

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Imaging analysis using Artificial Intelligence to predict outcomes after endovascular aortic aneurysm repair: protocol for a retrospective cohort study by Athanasios Saratzis, Juliette Raffort, Robert J Hinchliffe, Jonathan Boyle, George A Antoniou, Arun Pherwani, Maarit Venermo, Fabien Lareyre, Stavros K Kakkos, Mario D’Oria, Bahaa Nasr, Matthias Trenner

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Variable selection strategies for genomic prediction of growth and carcass related traits in experimental Nellore cattle herds under different selection criteria by Lucio F. M. Mota, Leonardo M. Arikawa, Júlia P. S. Valente, Larissa F. S. Fonseca, Maria E. Z. Mercadante, Joslaine N. S. G. Cyrillo, Henrique N. Oliveira, Lucia G. Albuquerque

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A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê Plateau by Wanting Zeng, Li He, Zhengwei He, Yang Zhao, Yan Yuan, Jintai Pang, Jiahua Zhao

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Predicting mortality of geriatric trauma patients in Hong Kong—A comparison of scoring systems: GERtality score, Geriatric Trauma Outcome Score by Jeremy Ho Hei Chiu, Kai Yip Lai, Janice Hiu Hung Yeung, Chin San Leung

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Predicting the Potential for Natural Recovery of Atlantic Salmon (Salmo salar L.) Populations following the Introduction of Gyrodactylus salaris Malmberg, 1957 (Monogenea). by Scott J Denholm, Andrew S Hoyle, Andrew P Shinn, Giuseppe Paladini, Nick G H Taylor, Rachel A Norman

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Prediction of Breakdown Pressure Using a Multi-Layer Neural Network Based on Supercritical CO₂ Fracturing Data by Xiufeng Zhang, Min Zhang, Shuyuan Liu, Heyang Liu

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Predicting the presence of tephra layers in lacustrine deposits using spectral gamma ray data: An example from Lake Chalco, Mexico City. by Mehrdad Sardar Abadi, Christian Zeeden, Arne Ulfers, Alex Susan Meyer, Thomas Wonik, Mexidrill team

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Narrow Walk, Condition II, Semi-Tandem, Tandem, and Single Leg Stance Test Failure Could Predict Falls in Older Adults by Colleen Brown MPH, Marina Oktapodas Feiler PhD, Eric R Anson PhD, Eleanor M Simonsick PhD

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Unsupervised Machine Learning Approaches for Test Suite Reduction by Anila Sebastian, Hira Naseem, Cagatay Catal

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Predicting Surface Roughness and Grinding Forces in UNS S34700 Steel Grinding: A Machine Learning and Genetic Algorithm Approach to Coolant Effects by Mohsen Dehghanpour Abyaneh, Parviz Narimani, Mohammad Sadegh Javadi, Marzieh Golabchi, Samareh Attarsharghi, Mohammadjafar Hadad

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Predicted quality benefits of achievable performance benchmarks of chronic heart failure care in China: results from a nationwide observational study by Xi Li, Chao Wang, Jingkun Li, Yupeng Wang, Xiaoqiang Bao, Meina Liu, Qiuju Zhang, Chang Yin, Xudong Ma

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Agroclimatic Indicator Analysis Under Climate Change Conditions to Predict the Climatic Suitability for Wheat Production in the Upper Blue Nile Basin, Ethiopia by Wondimeneh Leul Demissew, Tadesse Terefe Zeleke, Kassahun Ture, Dejene K. Mengistu, Meaza Abera Fufa

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Implementation of microbiological monitoring for predicting the multidrug-resistant phenotype of respiratory isolates based on risk factor analysis in patients with community-acqui... by O. P. Bobrova, S. K. Zyryanov, V. V. Chernaya, M. V. Statsenko, O. A. Parygina

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Enhancing Fatigue Life Prediction Accuracy: A Parametric Study of Stress Ratios and Hole Position Using SMART Crack Growth Technology by Yahya Ali Fageehi, Abdulnaser M. Alshoaibi

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Development of novel nomograms for predicting prostate cancer in biopsy-naive patients with PSA < 10 ng/ml and PI-RADS ≤ 3 lesions by Jia-gui Chai, Yu-hang Li, Chang-xing Ke

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REGULATION OF THE RELATIONSHIP BETWEEN ADDITIVE REDUCTION AND METRICS METHODS by E. M. Aristova

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