Results 71 to 80 of about 34,460 (284)

Pathological Copper Overload Reprograms SOD1 Activation via COMMD1 to Promote Senescence and Fibrosis

Advanced Science, EarlyView.
This study uncovers a previously unrecognized copper‐COMMD1‐SOD1 regulatory axis, revealing that pathological copper overload paradoxically suppresses SOD1 activity by promoting COMMD1‐dependent disruption of SOD1 homodimerization. These findings redefine the regulatory role of copper in SOD1 biology and provide novel mechanistic insight into the ...
Yuqing Liu, Jing Liu, Wenqian Zhou, Yangyang Niu, Yan Zheng, Yiguo Liu, Yingying Zhang, Chen Yu   +7 more
wiley   +1 more source

Multiscale Modelling of the Electrocatalysis of Microenzymes: Insights Into the Performance of Microperoxidase at an Aqueous/Graphene Interface and Their Exploitation to Improve Performance

Advanced Science, EarlyView.
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic, Cheng Hu, Yuhui Sun, Matthew J. Penna, Meisam V. Kiamahalleh, Wenrong Yang, Mark J. Biggs   +6 more
wiley   +1 more source

Anomalies, VMD and the Enjl Model

, 1993
8 pages, plain LaTeX, preprint NORDITA - 93/69 N,P and NBI-93 ...
Bijnens, Johan, Prades, Joaquim
openaire   +2 more sources

Explainable Spectrum Prediction Based on VMD-LSTM [PDF]

To improve the accuracy and interpretability of neural network enabled spectrum prediction, an explainable spectrum prediction framework based on Variational Mode Decomposition (VMD) and Long Short-Term Memory (LSTM) networks, integrated with the Shapley
Xu, W., Su, Z., Zhang, J.
core   +1 more source

TRAF6 Lactylation in Glycolytic Macrophages Drives NF‐κB Signaling and M1 Polarization During Orthodontic Tooth Movement

Advanced Science, EarlyView.
Schematic diagram showing compressive stress triggers glycolytic reprogramming and lactate accumulation in macrophages. Lactate mediates TRAF6 lactylation at K171/K180 dual sites, which enhances its K63‐linked ubiquitination to activate the NF‑κB pathway and promote M1 polarization. This cascade drives orthodontic tooth movement (OTM) and alveolar bone
Xinyi He, Guodong Zhao, Yun Hu, Wenya Bai, Hao Tan, Shuai Yuan, Sihan Yang, Ye Zhu, Xiaohui Xu, Leilei Zheng   +9 more
wiley   +1 more source

Optimization method for remaining life prediction of conventional circuit breaker based on deep learning

Diance yu yibiao
In the context of smart grid, aiming at the condition monitoring of conventional circuit breakers with complex mechanical actions, an optimization method for remaining life prediction of conventional circuit breaker based on deep learning is proposed ...
SUN Shuguang, WEI Shuo, WANG Jingqin, SHAO Xu, SUN Liang, GAO Hui   +5 more
doaj   +1 more source

Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff

Atmosphere, 2018
Accurate modeling for nonlinear and nonstationary rainfall-runoff processes is essential for performing hydrologic practices effectively. This paper proposes two hybrid machine learning models (MLMs) coupled with variational mode decomposition (VMD) to ...
Youngmin Seo, Sungwon Kim, Vijay P. Singh   +2 more
doaj   +1 more source

An insight on VMD for diagnosing wind turbine blade faults using C4.5 as feature selection and discriminating through multilayer perceptron

Alexandria Engineering Journal, 2020
This paper presents a pioneer study of identifying the wind turbine blade condition based on its vibration pattern. The study used variational mode decomposition (VMD) for signal pre-processing.
A. Joshuva, R. Sathish Kumar, S. Sivakumar, G. Deenadayalan, R. Vishnuvardhan   +4 more
doaj   +1 more source

VMD Documentation

, 2018
In this documentation, the basic and intermediate documentation of VMD molecular dynamics visualization software from University of Illinois at Urbana-Champaign are provided. This documentation includes user guide for opening and loading molecular structure files, change drawing options of molecular structures like CPK, tube, ribbon and etc., change ...
openaire   +2 more sources

Flow of SSA-VMD-WST model.

In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning.
Xinyi Xu (505530), Shaojuan Ma (12750125), Huiqiang Su (18405484)   +2 more
core   +1 more source