Magnetic Field-Driven Interface Hydroxylation via the Vibrational Stark Effect Boosts Alkaline Hydrogen Evolution Reaction by Xiayan Yao, Jianwei Guo, Zhi Wang, Guoyu Qian, XiangYu Wang, Dong Wang, Xuzhong Gong

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Boosting the Development and Management of Wind Energy: Self-Organizing Map Neural Networks for Clustering Wind Power Outputs by Yanqian Li, Yanlai Zhou, Yuxuan Luo, Zhihao Ning, Chong-Yu Xu

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Boosting anionic redox of TiS4 via Se anion doping for high-performance Al-ion batteries by Junfeng Li, Yunshan Zheng, Kwan San Hui, Kaixi Wang, Chenyang Zha, Sambasivam Sangaraju, Xi Fan, Yanli Chen, Guangmin Zhou, Kwun Nam Hui

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Unlocking tumor barrier: annexin A2-mediated transcytosis boosts drug delivery in pancreatic and breast tumors by Yanyan Liu, Qikai Wang, Zhenhan Feng, Mengmeng Qin, Zhenyu Zhang, Jinhong Jiang, Tongxiang Ren, Xiangsheng Liu, C. Jeffrey Brinker, Yuliang Zhao, Huan Meng

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Group 2 innate lymphoid cells boost CD8+ T-cell activation in anti-tumor immune responses by Jing Wen, Shipeng Cheng, Ran Wang, Yuying Huang, Long Xu, Liyan Ma, Zhiyang Ling, Jinfu Xu, Deping Zhao, Yaguang Zhang, Bing Sun

“…In this study, we showed that IL-33-activated ILC2s could boost CD8+ T-cell function through direct antigen cross-presentation. …”
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Accurate Modeling and Efficiency Optimization of High Frequency BCM Mode Boost Converter Based on GaN Devices by Yifeng Wang, Zhongjie Wang, Bo Chen, Hao Wang

“…Aiming at improving efficiency of synchronous rectification boost topology, this paper first discusses advantages of boost converter operating in boundary conduction mode (BCM). …”
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Methodology for detecting anomalies in cyber attack assessment data using Random Forest and Gradient Boosting in machine learning by A. S. Kechedzhiev, O. L. Tsvetkova, A. I. Dubrovina

“…The research is carried out using two machine learning algorithms: Random Forest and gradient boosting. The process includes analyzing important metrics, visualizing solutions, evaluating the performance of each model, and analyzing error matrices for attack categories. …”
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MoS2-confined Rh-Zn atomic pair boosts photo-driven methane carbonylation to acetic acid by Yanan Li, Huan Liu, Jun Mao, Meng Gao, Yunlong Zhang, Qiao Zhao, Meng Liu, Yao Song, Jingting Hu, Wangwang Zhang, Rui Huang, Wu Zhou, Kaifeng Wu, Wei Liu, Liang Yu, Xiaoju Cui, Dehui Deng

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Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data by Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez

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Hybrid Renewable Energy System with High Gain Modified Z-Source Boost Converter for Grid-Tied Applications by Sathish Ch., Chidambaram I.A., Manikandan M.

“…In a hybrid renewable system, a conventional boost converter produces more losses at the time of the energy conversion process due to this, the performance of the hybrid system is reduced total harmonic distortion is increased, and the hybrid microgrid outcome is reduced. …”
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Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…Our approach replaces the traditional optimization process developed in our previous work, with a regression method, utilizing an in silico-generated dataset of various hemodynamic profiles to create a gradient boosting regression-enabled SV estimator. …”
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An adjuvanted chimeric spike antigen boosts lung-resident memory T-cells and induces pan-sarbecovirus protective immunity by Claudio Counoupas, Elizabeth Chan, Paco Pino, Joshua Armitano, Matt D. Johansen, Lachlan J. Smith, Caroline L. Ashley, Eva Estapé, Jean Troyon, Sibel Alca, Stefan Miemczyk, Nicole G. Hansbro, Gabriella Scandurra, Warwick J. Britton, Thomas Courant, Patrice M. Dubois, Nicolas Collin, V. Krishna Mohan, Philip M. Hansbro, Maria J. Wurm, Florian M. Wurm, Megan Steain, James A. Triccas

“…Boosting with CoVEXS5 via systemic delivery elicited CD4+ lung-resident memory T cells, typically associated with mucosal immunisation strategies, which were not detected following mRNA-XBB boosting. …”
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Seed priming with salicylic acid enhances salt stress tolerance by boosting antioxidant defense in Phaseolus vulgaris genotypes by Mohammad Reza Karimi, Manijeh Sabokdast, Hamid Korang Beheshti, Ali Reza Abbasi, Mohammad Reza Bihamta

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Machine learning approach in predicting water saturation using well data at “TM” Niger Delta by Oluwakemi Y. Adeogun, Mukthar O. Abdulwaheed, Lukumon Adeoti, Olawale J. Allo, Olawunmi O. Fasakin, Oluwafemi O. Okunowo

“…Five ML models (XGBoost, AdaBoost, CatBoost, LightGBM, and Gradient Boost) were deployed using well log data (caliper, gamma-ray, neutron, porosity, density, and shale volume) to estimate Sw at “TM” Field, Niger-Delta. …”
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Boosting mechanical durability under high humidity by bioinspired multisite polymer for high-efficiency flexible perovskite solar cells by Zhihao Li, Chunmei Jia, Zhi Wan, Junchao Cao, Jishan Shi, Jiayi Xue, Xirui Liu, Hongzhuo Wu, Chuanxiao Xiao, Can Li, Meng Li, Chao Zhang, Zhen Li

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Catalytic cooperation between Ru and Pd atoms on hierarchical porous Ce-based oxide for boosting engine exhaust purification by Linsheng Xu, Tian Qin, Yuanfeng Li, Hao Guo, Qiao Hu, Jing Xiong, Yaxiao Ma, Peng Zhang, Xiaolin Yu, Xi Liu, Yunpeng Liu, Zhen Zhao, Jianping Zou, Yuechang Wei

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Quality Boost and Shelf-Life Prolongation of African Catfish Fillet Using Lepidium sativum Mucilage Extract and Selenium Nanoparticles by Manar M. Shehab, Zizy I. Elbialy, Ahmed A. Tayel, Shaaban H. Moussa, Ibrahim I. Al-Hawary

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Use of machine learning techniques for modeling of snow depth by G. V. Ayzel

“…The purposeful character of learning process for models of the gradient boosting type, their ensemble character, and use of combined redundancy of a test sample in learning procedure makes this type of models a good and sustainable research tool. …”
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Integration of LSTM networks with gradient boosting machines (GBM) for assessing heating and cooling load requirements in building energy efficiency by Reenu Batra, Shakti Arora, Mayank Mohan Sharma, Sonu Rana, Kanishka Raheja, Abeer Saber, Mohd Asif Shah

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A Seismic Response and AdaBoost Regressor-Based Vulnerability Analysis of an ±800 kV Suspended Filter Capacitor by Quan Zhou, Yongheng Mao, Zhongkai Yin, Chang He, Ting Yang

“…A new approach for vulnerability assessment based on an adaptive boosting (AdaBoost) regressor is proposed considering the uncertainties of multiple material parameters of the suspension insulators. …”
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