Results 51 to 60 of about 1,361,221 (313)

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit   +11 more
wiley   +1 more source

Grid forming H control for HVDC diode rectifier-connected wind power plants [PDF]

open access: yes, 2023
[EN] Grid forming controllers need to operate with a large variation of grid parameters and grid structure, for instance, during black-start operation, connection to HVDC diode rectifiers, etc.
Martínez-Turégano, Jaime   +2 more
core   +1 more source

Review of transient control strategies for grid-forming converters under grid voltage sag conditions

open access: yes电力工程技术
As a large amount of renewable energy is integrated into the grid via power electronic converters,the power system is faced with challenges,such as reduced inertia,diminished disturbance resistance,and declining transient support capabilities.
Yuxuan LIN, Wei LI, Ling ZHU, Chong REN
doaj   +1 more source

Research on operation optimization of grid-forming charging spot based on stochastic matching

open access: yesDiance yu yibiao
In response to the operation problem of electric vehicle charging spots with grid forming capabilities within grid-connected micro-grids, this paper studies an optimization method for the operation of grid-forming charging spots based on stochastic ...
GE Jun   +4 more
doaj   +1 more source

Improved Dual Closed-Loop Control for Modular Multilevel Converters Based on Voltage Drop on Grid Impedance [PDF]

open access: yesDianli jianshe
[Objective] As renewable power bases gradually expand from load centers to remote areas such as deep offshore, deserts, and barren lands, using grid-forming voltage source converter-based high voltage direct current (VSC-HVDC) transmission technology is ...
LIU Shan, LIU Qi, ZHU Lin, YAN Jun, CHI Chengbin, SUN Zengjie
doaj   +1 more source

Mechanochemical Synthesis and Characterization of Nanostructured ErB4 and NdB4 Rare‐Earth Tetraborides

open access: yesAdvanced Engineering Materials, Volume 27, Issue 6, March 2025.
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur   +5 more
wiley   +1 more source

Load demand fulfillment through GFM-inverter based modified droop-control under various network conditions

open access: yesEnergy Reports
This paper offers a systematic approach to understanding the performance of the grid-forming inverter in both isolated and hybrid configuration with a grid-following inverter in low-voltage distribution network. While most existing studies concentrate on
Qusay Salem   +4 more
doaj   +1 more source

A Comprehensive Review on Grid-forming Inverter: Potential and Future Trends

open access: yesMajlesi Journal of Electrical Engineering, 2023
There is growing commitment to phase-out the conventional fossil-fuel based power stations to decentralized power generation with high share of renewable energy sources that is based on low-emission to meet the various techno-economic, environmental and ...
SAMUEL YUSUF, ADAMU ABUBAKAR
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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