Low-cost synthetic model for training and simulation of nipple-areola complex (NAC) reconstruction by Pedro Lucena de Aquino, Arthur Antunes Coimbra Pinheiro Pacífico, Letícia Fontenelle Fernandes, Giselle Ferreira de Souza, Sarah Gurgel Ponte Fontenelle, Ana Heloísa Feitosa de Macêdo Pereira, Pâmella Christine de Souza Munhoz, Letícia Castelo Branco de Oliveira

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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…The results highlight the unique advantages of each model. The XGBoost model demonstrates good predictive performance, achieving high coefficient of determination (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>), index of agreement (IA), Kling–Gupta efficiency (KGE) values, and low error values while effectively explaining the impact of input parameters on Vs. …”
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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation stud... by Ying Tang, Ting Wu, Xiufen Wang, Xi Wu, Anqun Chen, Guochun Chen, Chengyuan Tang, Liyu He, Yuting Liu, Meiyu Zeng, Xiaoqin Luo, Shaobin Duan

“…The SHapley Additive exPlanations method provided interpretability for the DNN models. A web-based tool was established to help clinicians stratify the risk of PC-AKI (https://xydsbakigroup.streamlit.app/).Conclusion The explainable DNN models serve as promising tools for predicting PC-AKI in CKD patients undergoing coronary angiography and intervention, which is crucial for risk stratification and clinical descion-making.…”
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Impact of educational process innovation on the satisfaction of higher education students in Ecuador by Danny Xavier Arevalo Avecillas, Rober Anibal Luciano Alipio, Carmen Paola Padilla Lozano, Manuel Esteban Arevalo Avecillas, Hugo Daniel García Juárez

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Downscaling for Rainfall Prediction in the Aburrá River Valley and its Supplying Watersheds in Antioquia (Colombia) Using Non-Homogeneous Hidden Markov Models by Diego Felipe Osorio Giraldo, Luis Fernando Carvajal Serna, Juli´án David Rojo Hernández

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Self-assessment of Сompetencies as a Tool for Assessing the Effectiveness of Corporate Educational Programs by Dmitrieva M.M., Umnov S.V., Podolsky D.A.

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THE RELATIONSHIP BETWEEN EDUCATION AND TEXT SIMILARITY CHECKING PROCESS ACROSS COUNTRIES: A QUANTITATIVE ANALYSIS by Artem Artyukhov, Olena Churikanova, Oleksandr Dluhopolskyi, Kseniia Bliumska-Danko

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The BETTER model-based counseling on sexual activity among women with multiple sclerosis by Faezeh Ghafoori, Nahid Dehghan Nayeri

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Microqualification Programs at Universities: A New Educational Trajectory for Adult Education by M. O. Shepel, S. B. Veledinskaya, E. A. Diyskaya, A. V. Feshchenko, I. A. Korshunov, N. N. Shirkova

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Transitivity of Educational Environment of Modern Russian School as Psychological and Educational Problem by A. D. Andreyeva

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Multi-strategy enhanced artificial rabbits optimization for prediction of grades in tourism service communication courses by Xiaodan Qu, Zhuyin Jia

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Model for predicting risk of developing drug-induced liver injury during remdesivir therapy: observational prospective open case-control study by Yu. V. Shevchuk, A. V. Kryukov, I. I. Temirbulatov, I. V. Sychev, K. B. Mirzaev, N. P. Denisenko, Sh. P. Abdullaev, S. N. Tuchkova, V. I. Vechorko, O. V. Averkov, D. A. Sychev

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History of education in Greece: towards a new material culture of education? by Georgios Tzartzas

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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

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Method for predicting the ice cover parameters in the waters of the Far-Eastern Seas with a long lead time by G. I. Anzhina, A. N. Vrazhkin

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Interpretable Machine Learning Framework for Non-Destructive Concrete Strength Prediction with Physics-Consistent Feature Analysis by Teerapun Saeheaw

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The Characteristics and Trend Prediction of Water and Sediment Evolution at the Toudaoguai Station on the Yellow River from 1960 to 2019 by Chao Li, Jing Guo, Xinlei Guo, Hui Fu

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Performance Analysis of Battery State Prediction Based on Improved Transformer and Time Delay Second Estimation Algorithm by Bo Gao, Xiangjun Li, Fang Guo, Xiping Wang

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Enhancing Photovoltaic System Performance Prediction: A Synergistic Approach with Fuzzy Logic and Response Surface Methodology by Muataz Al Hazza, Hussain Attia, Khaled Hossin

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