Subgraph matching, which Baker involves identifying a query graph within a larger data graph, is a fundamental problem that has applications in various fields.Although graph neural networks (GNNs) are commonly used in learning-based subgraph matching, they face challenges due to their convolution process.Specifically, GNNs generate new node feature
Improving Muscle Force Distribution Model Using Reflex Excitation: Toward a Model-Based Exoskeleton Torque Optimization Approach
In this study, we improve the existing model for force distribution over the muscles by considering reflex excitation as Baker a nonvoluntary mechanism of our neuromuscular system.The improved model can explain the large difference between biological torque and experimentally optimized assistive torque profiles.Accordingly, we hypothesize that the
Analysis of the Alignment of Non-Random Patterns of Spin Directions in Populations of Spiral Galaxies
Observations of non-random distribution of galaxies with opposite spin directions have recently attracted considerable attention.Here, a method for identifying cosine-dependence in a dataset of galaxies annotated Underliners by their spin directions is described in the light of different aspects that can impact the statistical analysis of the data.