The INFLUENCE 3.0 model: Updated predictions of locoregional recurrence and contralateral breast cancer, now also suitable for patients treated with neoadjuvant systemic therapy by M.C. Van Maaren, T.A. Hueting, D.J.P. van Uden, M. van Hezewijk, L. de Munck, M.A.M. Mureau, P.A. Seegers, Q.J.M. Voorham, M.K. Schmidt, G.S. Sonke, C.G.M. Groothuis-Oudshoorn, S. Siesling

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Transformer network for time series prediction via wavelet packet decomposition by Zhichao Wu, Aiye Shi, Yan Ping Tao

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Development and validation of a risk score to predict adverse birth outcomes using maternal characteristics in northwest Ethiopia: a retrospective follow-up study by Rahel Mulatie Anteneh, Getayeneh Antehunegn Tesema, Ayenew Molla Lakew, Sefineh Fenta Feleke

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Development and Validation of a Nomogram for Predicting the Survival of Patients with Ovarian Yolk Sac Tumor: A Surveillance, Epidemiology, and End Results-Based Retrospective Stud... by Haiyan Chen, Dan Zhong, Dake Li

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Prediction of Groundwater Fluctuations Using Meshless Local Petrov-Galerkin Numerical Method in a Field Aquifer (Birjand Aquifer) by A. Mohtashami, S. A. Hashemi Monfared, Gh. Azizyan, A. Akbarpour

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Computation and prediction of sectorial arch width and arch perimeter changes of maxillary arch by graphical method of Ramanujan’s equation for the ellipse by Rishitha Gundeboina, Yamini Priyanka JS, Lekha Indukuru, Ravuru Divya, Vivek Reddy Ganugapanta, Gowri Sankar Singaraju, Prasad Mandava

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Development and external validation of a machine learning-based model to predict postoperative recurrence in patients with duodenal adenocarcinoma: a multicenter, retrospective coh... by Xu Liu, Qifeng Xiao, Zongting Gu, Xin Wu, Chunhui Yuan, Xiaolong Tang, Fanbin Meng, Dong Wang, Ren Lang, Kaiqing Guo, Xiaodong Tian, Yu Zhang, Enhong Zhao, Zhenzhou Wu, Jingyong Xu, Ying Xing, Feng Cao, Chengfeng Wang, Jianwei Zhang

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Parallel Networks to Predict TIMP and Protease Cell Activity of Nucleus Pulposus Cells Exposed and Not Exposed to Pro‐Inflammatory Cytokines by L. Baumgartner, S. Witta, J. Noailly

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Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements by Cheng Chen, Guan-Nian Chen, Song Feng, Xiao-Zhen Fan, Liang-Tong Zhan, Yun-Min Chen

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Nonparametric Estimation of Dynamic Value-at-Risk: Multifunctional GARCH Model Case by Zouaoui Chikr-Elmezouar, Ali Laksaci, Ibrahim M. Almanjahie, Fatimah Alshahrani

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Efficiency improvement and the carbon-reduction effects of transport restructuring in China by Wenjun Xiao, Dan Wu, Li Liu, Ziye Cheng

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Beyond condoms: unpacking the complex web of stigma, cost and gender disparities in STI healthcare-seeking among high-risk subgroups in Sub-Saharan Africa by Joseph Opeolu Ashaolu, Steven Ogunbola, Kehinde R. Odewumi, Oluwayemisi Bukola Tanimowo, Sylvain Y. M. Some

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Optimizing sowing date, fertilization, and irrigation strategies for winter wheat in Tensift Al Haouz (Morocco) using the DSSAT-CERES-wheat model by Lahoucine Ech-chatir, Salah Er-Raki, Julio Cesar Rodriguez, Abdelilah Meddich, Abdelghani Chehbouni

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Comment on “Improving Bayesian Model Averaging for Ensemble Flood Modeling Using Multiple Markov Chains Monte Carlo Sampling” by Jasper A. Vrugt

“…Abstract Huang and Merwade (2023), https://doi.org/10.1029/2023wr034947, hereafter conveniently referred to as HM23, wrongly claim improvement of their method for postprocessing multi‐model water stage predictions using Bayesian Model Averaging (BMA). …”
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Research on scraper conveyor load prediction method based on wavelet transform and BP neural network by Dan Zhang, Jiafeng Qin, Weidong Wu, Yongtao Zhu, Weijie Guo

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Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data by Anya H. Fries, Eunji Choi, Summer S. Han

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Highway Rest Area Truck Parking Occupancy Prediction Using Machine Learning: A Case Study from Poland by Artur Budzyński, Maria Cieśla

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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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Optimized prediction of diabetes complications using ensemble learning with Bayesian optimization: a cost-efficient laboratory-based approach by Dapeng Yan, Xiaohan Li, Yifan Wang, Zhikuang Cai

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Merging Real-Time NIR and Process Parameter Measurements in a Fluidized Bed Granulation Process to Predict Particle Size by Ozren Jovic, Marcus O’Mahony, Samuel Solomon, David Egan, Chris O’Callaghan, Caroline McCormack, Ian Jones, Patrick Cronin, Gavin M. Walker, Rabah Mouras

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