The evolution of the human brain has long been framed in terms of sexual selection, with an emphasis on consistent but small on-average volumetric differences between males and females. In this revie…

Information geometry has emerged from the study of the invariant structure in families of probability distributions. This invariance uniquely determines a second-order symmetric tensor g and third-order symmetric tensor T in a manifold of probability distributions. A pair of these tensors (g, T) defines a Riemannian metric and a pair of affine connections which together preserve the metric. Information geometry involves studying a Riemannian manifold having a pair of dual affine connections. Such a structure also arises from an asymmetric divergence function and affine differential geometry. A dually flat Riemannian manifold is particularly useful for various applications, because a generalized Pythagorean theorem and projection theorem hold. The Wasserstein distance gives another important geometry on probability distributions, which is non-invariant but responsible for the metric properties of a sample space. I attempt to construct information geometry of the entropy-regularized Wasserstein distance.
TOQUERVILLE, Washington County — The Hurricane-based robotics company IME Automation recently announced the purchase of 6.5 acres of land at Anderson Junction in Toquerville, where the company has broken ground for its new 20,000-square-foot facility.
IME Automation develops custom robotic systems for manufacturing operations worldwide. This new facility will expand its capabilities and footprint in the region.
The land was acquired approximately eight months ago during the summer of 2024, brokered by sales agent Brandon Price with the commercial real estate agency NAI Excel. Price said he delayed putting out information about the acquisition until IME Automation was completely ready to break ground.
The human brain is made up of billions of interconnected cells that are constantly talking to each other. A new study published in Nature zooms in to the single-cell level to see how this cellular communication may be going wrong in brains affected by post-traumatic stress disorder (PTSD).
Until recently, researchers did not have the technology to study genetic variation within individual cells. But now that it’s available, a team led by Matthew Girgenti, Ph.D., assistant professor of psychiatry at Yale School of Medicine, has been analyzing brain cells to uncover genetic variants that might be associated with psychiatric diseases such as major depressive disorder (MDD) and PTSD.
Their latest study is one of the first to examine a major psychiatric disorder, PTSD, at the single-cell level. For years, doctors have been prescribing antidepressants to treat the condition because there are currently no drugs specifically designed for PTSD. Girgenti hopes that identifying novel molecular signatures associated with the psychiatric disease can help researchers learn how to develop new drugs or repurpose existing ones to treat it more effectively.