Cavity expansion theory with state-dependent mohr-coulomb model and its application to cone penetration tests. [PDF]
Li B +5 more
europepmc +1 more source
Evaluation of preclinical antipsychotic models used to support first‐in‐human clinical trials
Abstract Schizophrenia is regarded as a complex and heterogeneous psychiatric disorder, characterised by diverse symptoms and comorbidities, which complicate both clinical management and drug development. Current pharmacological treatment, primarily based on dopamine D2 receptor antagonism or partial agonism, which has not markedly progressed since the
Thi Viet Ha Nguyen +2 more
wiley +1 more source
Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
Mortezanejad SAF +2 more
europepmc +1 more source
A role for epithelium‐derived 6‐nitrodopamine on human ureter contractility
Abstract Background and Purpose To investigate the basal release of 6‐nitrodopamine (6‐ND) from human isolated ureter and the role of this novel catecholamine in the ureter contractility. Experimental Approach Ureters from 67 brain‐dead organ donors (40 males and 27 females) were used during kidney transplantation procedures.
Wilmar Azal Neto +12 more
wiley +1 more source
Physics-informed neural networks with hybrid Kolmogorov-Arnold network and augmented Lagrangian function for solving partial differential equations. [PDF]
Zhang Z +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
Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network. [PDF]
Mehtaj N, Banerjee S.
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
Time fractional modeling of MHD natural convection flow between parallel plates via caputo-fabrizio integral. [PDF]
Masood K.
europepmc +1 more source
Summary Background and Objectives Preventive tuberculosis (TB) therapy before initiating MTX or IL‐17/IL‐23/IL‐12/23p40 inhibitors for latent tuberculosis infection (LTBI) is supported by indirect evidence of TB reactivations with TNF inhibitors. However, direct evidence for MTX or IL‐17/IL‐23/IL‐12/23p40 inhibitors is limited.
Christoph Zeyen +4 more
wiley +1 more source

