This important study shows that the activity of hypothalamic hypocretin/orexin neurons (HONs) correlates with body movement over multiple behaviors. Sophisticated techniques and analyses showcase this ...

We employed XGBoost, a gradient-boosting ML algorithm, to identify core URGs and construct a diagnostic model. The model’s performance was evaluated using ... clustering for disease subgroup mining, ...

Landlords in Maryland would be prohibited from using controversial algorithmic software to set rents under legislation scheduled to be introduced Tuesday, a response to allegations that one ...

Physicists have developed a novel approach to maintain special quantum characteristics, even in 3D materials, with potential applications in optical systems and advanced computing.

Oxytocin receptor (Oxtr) signaling influences complex social behaviors in diverse species, including social monogamy in prairie voles. How Oxtr regulates specific components of social attachment ...

During the discussions, it was revealed that DepEd already implements the CSE, using Republic Act No. 10354 ... as they want it in K-12,” he said. “So since it did not go through our committee ...

This makes them more adept than earlier language models at solving scientific problems, and means they could be useful ... can study and build on the algorithm. Published under an MIT licence ...

The Visio start page offers a variety of templates to start from. Using templates is the easiest way to begin making diagrams in Visio. I’ll walk you through three of the most common Microsoft ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...

Abstract: The investigation for incomplete multi-modal 3D shape clustering is evolving as a promising task for the field of recognizing massive unlabeled 3D shapes. As two widely adopted 3D shape ...

A Tensorflow implementation of the paper: Mousavian, Arsalan, et al. 3D Bounding Box Estimation Using Deep Learning and Geometry by Fu-Hsiang Chan. The aim of this project is to predict the size of ...