Optimization of two-stage methanogenesis regime based on the Pontryagin’s maximum principle *** by S. A. Korolev, D. V. Maykov

“…When optimizing, a hybrid genetic algorithm was used with an additional search in the neighborhood of the best solution through the conjugate gradient method.Research Results. …”
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Finding dense sublattices as low energy states of a Hamiltonian by Júlia Barberà-Rodríguez, Nicolas Gama, Anand Kumar Narayanan, David Joseph

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Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation by Don Arai, Ken N. Okada, Yuichiro Nakano, Kosuke Mitarai, Keisuke Fujii

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High-throughput phenotyping tools for blueberry count, weight, and size estimation based on modified YOLOv5s by Xingjian Li, Sushan Ru, Zixuan He, James D. Spiers, Lirong Xiang

“…The first pipeline used traditional algorithms such as Hough Transform, Watershed, and filtering. …”
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A coordinated control strategy for active transient voltage support in DFIG-based wind farms by Song Yuyan, Liu Yang, Zhang Yongjie, Zhang Shuai, Wang Xiaodi, Liu Fang, Su Yunche

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Voltage regulation in distribution networks by electrical vehicles with online parameter estimation by Shukang Lyu, Huachun Han, Jingyan Li, Xiaodong Yuan, Wenyue Wang

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Global Three‐Dimensional Water Vapor Feature‐Tracking for Horizontal Winds Using Hyperspectral Infrared Sounder Data From Overlapped Tracks of Two Satellites by Amir Ouyed, Nadia Smith, Xubin Zeng, Thomas Galarneau Jr., Hui Su, Ross D. Dixon

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Development and Validation of the Promising PPAR Signaling Pathway-Based Prognostic Prediction Model in Uterine Cervical Cancer by Yan Zhang, Xing Li, Jun Zhang, Lin Mao, Zou Wen, Mingliang Cao, Xuefeng Mu

“…In addition, the single-sample gene set enrichment analysis (ssGSEA) algorithm was applied to calculate the PPAR score of patients with cervical cancer. …”
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Improved Water Level Retrieval in Complex Riverine Environments: Sentinel‐3 and Sentinel‐6 Altimetry Over China's Rivers by Chenqi Fang, Di Long, Qi Huang, Fanyu Zhao, Huaichuan Liu, Xingwu Duan, Aizhong Hou

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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…Thus, the k-nearest neighbor algorithm and SVM can be used to predict the rheological parameters of polymers as an alternative to artificial neural networks and the CatBoost algorithm, requiring less effort to preset adjustment. …”
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Hydrogen leakage localization technology in hydrogen refueling stations combining RL and hidden Markov models by Jun Wang, Lei Wang, Ding Wang, Xiang Yu

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Bidirectional Q-learning for recycling path planning of used appliances under strong and weak constraints by Yang Qi, Jinxin Cao, Baijing Wu

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Sensitivity of biological sewage disposal efficiency functional to parameters of biogen concentration dynamics model by Е. S. Zhmenya, N. S. Buzalo

“…A brief review of the existing estimation techniques is carried out. And further on, an algorithm for studying the functional sensitivity characterizing the water quality to the parameters of the water ecosystem model is formulated using methods of the theory of small perturbations and conjugate equations.Research Results. …”
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Calculation of the Respiratory Modulation of the Photoplethysmogram (DPOP) Incorporating a Correction for Low Perfusion by Paul S. Addison, Rui Wang, Scott J. McGonigle, Alberto A. Uribe, Sergio D. Bergese

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Brown adipose tissue machine learning nnU-Net V2 network using TriDFusion (3DF) by Daniel Lafontaine, Stephanie Chahwan, Gustavo Barraza, Burcin Agridag Ucpinar, Gunjan Kayal, Nicolás Gómez-Banoy, Paul Cohen, John L. Humm, Heiko Schöder

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TRANS: a prediction model for EGFR mutation status in NSCLC based on radiomics and clinical features by Zhigang Chen, Huiying Lu, Ao Liu, Jia Weng, Lei Gan, Lina Zhou, Xiao Ding, Shicheng Li

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AI may help to predict thyroid nodule malignancy based on radiomics features from [18F]FDG PET/CT by Krystian Ślusarz, Mikolaj Buchwald, Adrian Szczeszek, Szymon Kupinski, Anna Gramek-Jedwabna, Wojciech Andrzejewski, Juliusz Pukacki, Robert Pękal, Marek Ruchała, Rafał Czepczyński, Cezary Mazurek

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Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation by Zhou C, Xiang T, Yu Y, Ma H, Liu C, Yang F, Yang L

“…The new algorithm provided reliable predictions, demonstrating its potential to enhance the design and evaluation of TCM formulations. …”
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Identification of cytokine release syndrome and indicators of severity in retrospective databases among patients receiving immunotherapy by Scott F. Huntington, Dee Lin, Marie‐Hélène Lafeuille, Philippe Thompson‐Leduc, Aditi Shah, Nina Kim, Laura Hester, Anabelle Tardif‐Samson, Bronwyn Moore, Jessica Fowler, Alexander Marshall, Xinke Zhang, Dina Gifkins, Bingcao Wu

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Optimizing a Personalized Health Approach for Virtually Treating High-Risk Caregivers of Children With Neurogenetic Conditions (Project WellCAST): Protocol for a Randomized Control... by Bridgette Kelleher, Kaleb Emerson, Lyndsey N Graham, Veronika Vozka, Anne Wheeler, William Fadel, Daniel Foti, Isha Metzger, Mandy Rispoli, Wendy Machalicek, Laurie McLay, Sean Lane, Wei Siong Neo, Allie Carter, Lisa Brown, Jennifer Brown, Laura Lee McIntyre, Elizabeth Salwitz, Gloria Dietz, Riley Naughton, Katlyn Peek, Nicole Hollins, Emma Woodford

“…Preregistered analyses will contrast feasibility, efficacy, and acceptability across algorithms and coaching assignments. Multiple waves of data collection will allow us to continually optimize the algorithm and test incremental improvements across project phases. …”
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