The latest news, developments and research findings from all fields of science including biology, chemistry, physics, psychology, sociology and space, including news on the latest policies regulating this sector.
Gwo-Shyh Song from Global Aqua Survey, with Hsiu-Wen Huang from National Taiwan University, walk us through the application of the marine magnetic survey.
Gábor Egry, Director-General at the Institute of Political History and NEPOSTRANS project principal investigator continues to explain the intricacies of the Habsburg Empire.
Professor Ken Saito and PhD candidate Yuki Takei, College of Science and Technology, Nihon University, tells us about a project they are working on to generate typical animal like actions in robots.
Here, Synthetic Biology Platform Lead at the Wyss Institute for Biologically Inspired Engineering, Richie Kohman, continues exploring the breakthroughs of Next Generation Sequencing (NGS).
Chris Girard, Associate Professor, Florida International University, explains how rural-urban cleavages in Afghanistan are revealed by coevolving informatics.
Athena Coustenis, Niklas Hedman and Gerhard Kminek for the COSPAR Panel on Planetary Protection discuss updates in the Planetary Protection Policy to ensure sustainable scientific lunar exploration.
This article focuses on Japan, as a country with a strong and distinctive strategy for delivering RM, and outlines efforts to build regenerative readiness.
Saku Tsuneta, National Astronomical Observatory of Japan, introduces the Subaru Telescope, Japan’s world-leading optical and infrared astronomy facility.
F Barry Dunning and Thomas C Killian from the Department of Physics & Astronomy at Rice University depict the benefits of research into the remarkable physical and chemical properties of Rydberg atoms.
Kim, Chang-Soo from Missouri University of Science and Technology with Stoecker, William V from Stoecker & Associates Technology, Rolla, Missouri, describe a breakthrough smart bandage by S&A Tech and Missouri S&T capable of detecting low tissue oxygen.
The study, published in The Lancet Digital Health, found that deep learning tech had an average accuracy of 88% when it came to diagnosing genetic syndromes.
