Results 61 to 70 of about 53,814 (292)

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Grid Forming Inverter as an Advanced Smart Inverter for Augmented Ancillary Services in a Low Inertia and a Weak Grid System Towards Grid Modernization

open access: yesClean Technologies
Grid dynamics and control mechanisms have improved as smart grids have used more inverter-based renewable energy resources (IBRs). Modern converter technologies try to improve converters’ capacities to compensate for grid assistance, but their inertia ...
Shriram S. Rangarajan   +2 more
doaj   +1 more source

Nonlinear Control of an AC-connected DC MicroGrid [PDF]

open access: yes, 2016
New connection constraints for the power network (Grid Codes) require more flexible and reliable systems, with robust solutions to cope with uncertainties and intermittence from renewable energy sources (renewables), such as photovoltaic arrays.
Damm, Gilney   +4 more
core   +3 more sources

ALDOA Promotes Glycolysis and NLRP3/GSDMD Pyroptosis to Accelerate ALS Progression

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is characterized by progressive motor neuron degeneration. Glycolytic dysregulation is implicated in disease progression, yet the underlying mechanisms remain unclear. This study investigates how Aldolase A (ALDOA) drives ALS progression through glycolysis‐mediated motor neuron pyroptosis.
Kaixin Yan   +9 more
wiley   +1 more source

Low Voltage Ride-Through Capability of Grid-Connected PV Systems: A Comparative Study of Grid-Following and Grid-Forming Converters Under Current Limits

open access: yesIEEE Access
This study investigates the Low Voltage Ride-Through (LVRT) capabilities of grid-connected photovoltaic (PV) systems, focusing on the comparative performance of Grid-Following (GFL) and Grid-Forming (GFM) converters under current limit constraints.
Zainab M. Almesri   +2 more
doaj   +1 more source

Hybrid and modular multilevel converter designs for isolated HVDC–DC converters [PDF]

open access: yes, 2018
Efficient medium and high-voltage dc-dc conversion is critical for future dc grids. This paper proposes a hybrid multilevel dc-ac converter structure that is used as the kernel of dc-dc conversion systems.
Adam, G.P.   +4 more
core   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai   +2 more
wiley   +1 more source

Adaptive hybrid synchronization control of grid-connected converters in renewable power plants and its small-signal stability analysis

open access: yesZhejiang dianli
As the capacity of renewable power plants connected to the grid increases year by year, optimizing the control strategies for their converters becomes crucial for enhancing system stability.
GONG Kai   +5 more
doaj   +1 more source

Direct control strategy for a four-level three-phase flying-capacitor inverter [PDF]

open access: yes, 2010
A direct predictive control strategy is proposed for a three-phase four-level flying-capacitor (FC) inverter in this paper. The balancing of the FC voltages, a challenge in applications with small capacitors and low switching frequencies, is done without
Defaÿ, François   +2 more
core   +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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