A federal judge in Texas made news in January when he allowed a suit filed by Idaho, Kansas, and Missouri to proceed against the Food and Drug Administration’s approval of medication abortion, based ...

This paper develops a novel method to identify the causal contribution of managers to team performance. The method requires repeated random assignment of managers to multiple teams and controls for ...

Abstract: In order to demonstrate and test new concepts and methods for the future grids, power engineers and researchers need appropriate randomly generated grid network topologies for Monte Carlo ...

2 School of Health Sciences, The University of Melbourne, Parkville, Victoria, Australia Correspondence to Dr Jon J Ford, Low Back Research Team, Faculty of Health Sciences, La Trobe University, ...

Chemical shift transfer (CST) is a well-established technique in NMR spectroscopy that utilizes the chemical shift assignment of one protein (source) to identify chemical shifts of another (target).

Update: There is a new version of the code base available here, which incorporates both the code for DFC from the paper "Credit Assignment in Neural Networks through Deep Feedback Control", and the ...

People learn adaptively from feedback, but the rate of such learning differs drastically across individuals and contexts. Here, we examine whether this variability reflects differences in what is ...

PPA-GCN is a deep learning framework based on a graph convolutional model (Figure 1). Gene synteny information from the selected genome is used to construct edges in a network, while genes sharing ...

Abstract: This study focuses on the problem of target assignment when a phased-array radar network detects hypersonic-glide vehicles in near-space and proposes a method for target assignment based on ...

Credit assignment (CA) to relevant actions poses a challenge because one is often flooded with reward feedback that is not easily causally attributed. We addressed this issue in a reinforcement ...