Results 151 to 160 of about 9,566 (254)

A contemporary simple risk score for prediction of severe acute kidney injury after heart transplantation

ESC Heart Failure, Volume 12, Issue 2, Page 1166-1175, April 2025.
A contemporary simple risk score for prediction of severe AKI after HT. Abstract Background The aim of this study was to develop a simple risk score to estimate severe acute kidney injury (AKI) risk based on a large contemporary heart transplantation (HT) cohort.
Shuangshuang Zhu, Weihua Qiao, Yixuan Wang, Ying Zhou, Yin Xu, Shijie Wang, Tian Xia, Guohua Wang, Si Chen, Jiawei Shi, Nianguo Dong   +10 more
wiley   +1 more source

A unified Erdős-Pósa theorem for cycles in graphs labelled by multiple abelian groups. [PDF]

Math Ann
Gollin JP, Hendrey K, Kwon OJ, Oum SI, Yoo Y.   +4 more
europepmc   +1 more source

A MacMahon analysis view of cylindric partitions. [PDF]

Ramanujan J
Li R, Uncu AK.
europepmc   +1 more source

Research on Thermal Runaway Multiphysics Coupling Simulation and Sensor Optimization Layout of Lithium Iron Phosphate Energy Storage Battery Packs

Energy Science &Engineering, EarlyView.
This study explores thermal runaway in lithium‐iron‐phosphate energy storage battery packs through multi‐physics coupling simulation. Thermal runaway evolves from battery cells (experiencing overcharge, bulging, safety valve opening, and gas venting) to battery clusters (a) and propagates within the battery pack (b). Simulation results indicate: stress
Dongliang Guo, Lei Sun, Rong Sun, Jun Jia, Peng Xiao, Hailong Ruan, Xin Jiang   +6 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

SRAM based Gaussian noise generation for post quantum cryptography. [PDF]

Sci Rep
Kim MS, Jeon SB, Kim S.
europepmc   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Edge states jointly determined by eigenvalue and eigenstate winding. [PDF]

Light Sci Appl
Hu J, Sha Y, Yang Y.
europepmc   +1 more source

Intelligent Control Framework of District Heating Systems Considering Waste Heat Utilization in Data Centers

Energy Science &Engineering, EarlyView.
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen, Ruifan Zheng, Shengyuan Zhong, Lei Gu, Dongfang Yang, Jun Zhao   +5 more
wiley   +1 more source

A multidimensional, efficient, and secure data query based on privacy preservation in vehicular ad hoc networks. [PDF]

PLoS One
Zhao X, Dong G.
europepmc   +1 more source