Results 151 to 160 of about 33,386 (268)
Retraction: Effect of rumex dentatus on gastrointestinal protection and toxicology in rodents via investigating H+/K+-ATPase, calcium channels, and PDE mediated signaling. [PDF]
Frontiers Editorial Office.
europepmc +1 more source
Background and Purpose Metabolic dysfunction‐associated steatohepatitis (MASH) is linked to activation of hepatic stellate cells (HSCs) to α‐smooth muscle actin–positive myofibroblasts that produce collagen and proinflammatory cytokines. Quiescent HSCs express the NO‐cGMP signalling axis.
Krithika Rajeeth +14 more
wiley +1 more source
The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification. [PDF]
Abda M +7 more
europepmc +1 more source
Adenosine A2A receptor (ADORA2A); phosphodiesterase-2 (PDE-2); PDE-3; PDE-4; PDE-7 [PDF]
openaire +1 more source
Background and Purpose Colorectal cancer is one of the most prevalent cancers worldwide, and novel precision medicine approaches are rapidly improving patient outcomes. Phosphodiesterase 4B (PDE4B) is a member of an enzyme family (PDE4) that hydrolyses intracellular cAMP to control spatial and temporal signalling cues.
Alina Zorn +11 more
wiley +1 more source
Data-driven, ML-assisted approaches to problem well-posedness. [PDF]
Bertalan T +5 more
europepmc +1 more source
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Biological implications and therapeutic potential of phosphodiesterase inhibitors: A review. [PDF]
Alnazari M +6 more
europepmc +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source

