The Late Triassic Tianqiaoling flora is well-known in China, and its discovery has changed our understanding of Chinese Late Triassic phytogeographical divisions. However, the accurate dating has still not been achieved. In this study, rhyolite samples were collected from the bottom of the Tianqiaoling Formation, which is conformally contacted the Tianqiaoling flora-bearing beds. The results of new dating were 212.8±2.5 Ma, indicating the Tianqiaoling flora in development occurred in the late Norian (~227-208.5 Ma).

A new global analysis says that greenhouse-gas emissions from food systems have long been systematically underestimated--and points to major opportunities to cut them. The authors estimate that activities connected to food production and consumption produced the equivalent of 16 billion metric tons of carbon dioxide in 2018--one third of the human-produced total, and an 8 percent increase since 1990.

In a study of healthy volunteers, National Institutes of Health researchers have mapped out the brain activity that flows when we learn a new skill, such as playing a new song on the piano, and discovered why taking short breaks from practice is a key to learning.

Today The Neuro (Montreal Neurological Institute-Hospital) is launching the Clinical Biospecimen Imaging and Genetic (C-BIG) Repository, one of the largest biorepositories of neurological disorders in the world, as an open access resource for the global scientific community.

An international team of scientists led from the Centre for Astrobiology (CAB, CSIC-INTA), with participation from the Instituto de Astrofísica de Canarias (IAC), has used the Gran Telescopio Canarias (GTC) to study a representative sample of galaxies, both disc and spheroidal, in a deep sky zone in the constellation of the Great Bear to characterize the properties of the stellar populations of galactic bulges.

ACM, the Association for Computing Machinery, and the IEEE Computer Society have named Margaret Martonosi, the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University, as the recipient of the 2021 Eckert-Mauchly Award for contributions to the design, modeling, and verification of power-efficient computer architecture.