Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...

Abstract: As High Voltage Direct Current (HVDC) technology becomes increasingly important for the integration of large-scale renewable energy sources and to ensure efficient long-distance power ...

Greg Daugherty has worked 25+ years as an editor and writer for major publications and websites. He is also the author of two books. Katie Miller is a consumer financial services expert. She worked ...

Abstract: We investigate the impact of point-spread in the silicon CCD sensor of a BT Imaging LIS-R1 luminescence imaging system. It is found that an experimental definition of the point-spread ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Charge state deconvolution is essential for efficient and effective protein mass ...

Prefer Newsweek on Google to see more of our trusted coverage when you search. COVID-19 vaccination has been the subject of immense scrutiny and misinformation since the vaccines were first ...

Researchers have long disagreed over what constitutes open-source AI. An influential group has offered up an answer. Open-source AI is everywhere right now. The problem is, no one agrees on what it ...

a. MRA helps resolve the dense actin filaments with SIM imaging. b. MRA helps resolve the mitochondrial cristae cluster with LiveSR imaging. c. SecMRA helps better section the ER tubule structure. d.

This post was co-authored by Erin Marshall. In life, it can be easy to get caught up in the pursuit of success. We have been conditioned to believe that we need to be faster, smarter, richer, better, ...

A sweeping new definition of long COVID could help affected people get recognition of their condition and improve diagnosis and treatment. The U.S. National Academies of Sciences, Engineering and ...

This study makes a valuable contribution to spatial transcriptomics by rigorously benchmarking cell-type deconvolution methods, assessing their performance across diverse datasets with a focus on ...