Background In low-gradient severe aortic stenosis (AS), reduced left ventricular ejection fraction (LVEF <50%) is practically used to define low flow and prompt dobutamine stress echocardiography to ...
Interstitial fluid flow within the osteonal lacunar-canalicular system (LCS) is crucial for osteocyte mechanotransduction and bone remodeling. This study aims to develop a three-dimensional finite ...
Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...
While methods exist for aligning flow matching models — a popular and effective class of generative models — with human preferences, existing approaches fail to achieve both adaptation efficiency and ...
Abstract: This paper presents the Gradient Flow (GF) decoding for LDPC codes. GF decoding, a continuous-time methodology based on gradient flow, employs a potential energy function associated with ...
The Vortex Particle Method (VPM), a meshless vortex flow simulation approach, is gaining traction for its efficient simulation of unsteady vortex wakes evolution that is shed by aircrafts, rotors and ...
Recently, the ConFIG method has also been applied to train physics-constrained generative models: Flow Matching Meets PDEs: A Unified Framework for Physics-Constrained Generation, Giacomo Baldan, ...
Abstract: This paper discusses the application of quaternion representation in attitude control for quadrotor UAVs. We use a fixed-time gradient flow method to design ...
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