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A Distributed Deep Reinforcement Learning Approach for Reactive Power Optimization of Distribution Networks

IEEE access, 2024, Vol.12, p.113898-113909

2024

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Correlation of muscle strength, working memory, and activities of daily living in older adults

Frontiers in aging neuroscience, 2024-09, Vol.16, p.1453527

2024

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Matrix metalloproteinase-10 protects against acute kidney injury by augmenting epidermal growth factor receptor signaling

Cell death & disease, 2021-01, Vol.12 (1), p.70-70, Article 70

2021

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A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances

Journal of advanced transportation, 2020-12, Vol.2020 (2020), p.1-14

2020

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Collaborative configuration of renewable energy and energy storage under fixed investment in the decarbonization process

Frontiers in energy research, 2024-02, Vol.12

2024

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Construction of a resting EEG-based depression recognition model for college students and possible mechanisms of action of different types of exercise

BMC psychiatry, 2023-11, Vol.23 (1), p.1-849, Article 849

2023

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ACDRL: An actor–critic deep reinforcement learning approach for solving the energy-aimed train timetable rescheduling problem under random disturbances

Energy reports, 2022-11, Vol.8, p.1350-1357

2022

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Single-Cell and Spatial Transcriptome Profiling Identifies a Tenascin C-Enriched Niche Promoting Kidney Inflammation: FR-PO1176

Journal of the American Society of Nephrology, 2024-10, Vol.35 (10S)

2024

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Tenascin-C promotes acute kidney injury to chronic kidney disease progression by impairing tubular integrity via αvβ6 integrin signaling

Kidney international, 2020-05, Vol.97 (5), p.1017-1031

2020

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Matrix metalloproteinase-7 protects against acute kidney injury by priming renal tubules for survival and regeneration

Kidney international, 2019-05, Vol.95 (5), p.1167-1180

2019

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Two-layer optimization configuration method for distributed photovoltaic and energy storage systems based on IDEC-K clustering

Energy reports, 2024-06, Vol.11, p.5172-5188

2024

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A Deep Reinforcement Learning Approach for the Energy-Aimed Train Timetable Rescheduling Problem Under Disturbances

IEEE transactions on transportation electrification, 2021-12, Vol.7 (4), p.3096-3109

2021

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Collaborative Optimization Planning Method for Distribution Network Considering "Hydropower, Photovoltaic, Storage and Charging"

IEEE access, 2024-10, p.1-1

2024

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Energy-saving optimization strategy of multi-train metro timetable based on dual decision variables: A case study of Shanghai Metro line one

Journal of rail transport planning & management, 2021-03, Vol.17, p.100234, Article 100234

2021

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Tenascin-C protects against acute kidney injury by recruiting Wnt ligands

Kidney international, 2019-01, Vol.95 (1), p.62-74

2019

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Short-term PV Power Generation Prediction Based on QFWA-SVM Model

2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2023, p.1281-1284

2023

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Myeloid-derived Wnts play an indispensible role in macrophage and fibroblast activation and kidney fibrosis

International journal of biological sciences, 2024-01, Vol.20 (6), p.2310-2322

2024

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Macrophage promotes fibroblast activation and kidney fibrosis by assembling a vitronectin-enriched microenvironment

Theranostics, 2023-01, Vol.13 (11), p.3897-3913

2023

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Fibrillin-1-enriched microenvironment drives endothelial injury and vascular rarefaction in chronic kidney disease

Science advances, 2021-01, Vol.7 (5)

2021

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Optimal Configuration of Capacity for Hybrid Energy Storage Based on ISDPC-K-means Clustering and Cluster Division

2023 Panda Forum on Power and Energy (PandaFPE), 2023, p.1526-1532

2023

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Risk Probability Assessment Method of Distribution Network with Integration of High-Proportion of Distributed Photovoltaic via Monte Carlo Simulation

2023 5th International Conference on Power and Energy Technology (ICPET), 2023, p.612-617

2023

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A Control Model for Metro Train Movements: The Piecewise Nonlinear Time-domain Model

Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering, 2022, p.85-91

2022

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NONLINEAR OPTICAL PROPERTY OF SOME ORGANO-TITANIUM AND -ZIRCONIUM COMPOUNDS

Frontiers of Materials Research: Electronic and Optical Materials, 1991, p.409-412

1991

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Template-free synthesis of porous graphitic carbon nitride microspheres for enhanced photocatalytic hydrogen generation with high stability

Applied catalysis. B, Environmental, 2015-04, Vol.165, p.503-510

2015

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Nrf2-mediated macrophage function in benign prostatic hyperplasia: Novel molecular insights and implications

Biomedicine & pharmacotherapy, 2023-11, Vol.167, p.115566-115566, Article 115566

2023

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A Distributed Deep Reinforcement Learning Approach for Reactive Power Optimization of Distribution Networks

Correlation of muscle strength, working memory, and activities of daily living in older adults

Matrix metalloproteinase-10 protects against acute kidney injury by augmenting epidermal growth factor receptor signaling

A Real-Time Train Timetable Rescheduling Method Based on Deep Learning for Metro Systems Energy Optimization under Random Disturbances

Collaborative configuration of renewable energy and energy storage under fixed investment in the decarbonization process

Construction of a resting EEG-based depression recognition model for college students and possible mechanisms of action of different types of exercise

ACDRL: An actor–critic deep reinforcement learning approach for solving the energy-aimed train timetable rescheduling problem under random disturbances

Single-Cell and Spatial Transcriptome Profiling Identifies a Tenascin C-Enriched Niche Promoting Kidney Inflammation: FR-PO1176

Tenascin-C promotes acute kidney injury to chronic kidney disease progression by impairing tubular integrity via αvβ6 integrin signaling

Matrix metalloproteinase-7 protects against acute kidney injury by priming renal tubules for survival and regeneration

Two-layer optimization configuration method for distributed photovoltaic and energy storage systems based on IDEC-K clustering

A Deep Reinforcement Learning Approach for the Energy-Aimed Train Timetable Rescheduling Problem Under Disturbances

Collaborative Optimization Planning Method for Distribution Network Considering "Hydropower, Photovoltaic, Storage and Charging"

Energy-saving optimization strategy of multi-train metro timetable based on dual decision variables: A case study of Shanghai Metro line one

Tenascin-C protects against acute kidney injury by recruiting Wnt ligands

Short-term PV Power Generation Prediction Based on QFWA-SVM Model

Myeloid-derived Wnts play an indispensible role in macrophage and fibroblast activation and kidney fibrosis

Macrophage promotes fibroblast activation and kidney fibrosis by assembling a vitronectin-enriched microenvironment

Fibrillin-1-enriched microenvironment drives endothelial injury and vascular rarefaction in chronic kidney disease

Optimal Configuration of Capacity for Hybrid Energy Storage Based on ISDPC-K-means Clustering and Cluster Division

Risk Probability Assessment Method of Distribution Network with Integration of High-Proportion of Distributed Photovoltaic via Monte Carlo Simulation

A Control Model for Metro Train Movements: The Piecewise Nonlinear Time-domain Model

NONLINEAR OPTICAL PROPERTY OF SOME ORGANO-TITANIUM AND -ZIRCONIUM COMPOUNDS

Template-free synthesis of porous graphitic carbon nitride microspheres for enhanced photocatalytic hydrogen generation with high stability

Nrf2-mediated macrophage function in benign prostatic hyperplasia: Novel molecular insights and implications

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