Tohoku University researchers discovered some new principles that aid the electrochemical conversion of nitrate waste, an unwanted byproduct of modern day ammonia production. Their discovery will advance cleaner, more sustainable forms of ammonia production. 

Researchers from Japan and France have successfully reconstituted the development of mouse egg cells, known as oocytes, from embryonic stem cells entirely in vitro, without the need for ovarian support cells. This new method offers researchers a powerful new platform to investigate the molecular mechanisms that control oogenesis, the process by which egg cells develop, and lays important groundwork for future applications in human reproductive biology.

A team from The University of Osaka found that the intestinal flora works together with the OTUD3 and STING genes to aggravate ulcerative colitis, a disease with no cure that causes major intestinal pain and bloody diarrhea. When the OTUD3 gene is mutated, microbes in the intestinal flora trigger STING signalingOTUD, leading to inflammation in the colon. The intestinal flora and STING signaling may be important new targets for ulcerative colitis treatment.

A new international study suggests that ancient viral DNA embedded in our genome, which were long dismissed as genetic “junk”, may actually play powerful roles in regulating gene expression. Focusing on a family of sequences called MER11, researchers from Japan, China, Canada, and the US have shown that these elements have evolved to influence how genes turn on and off, particularly in early human development.

Rabi-like splitting is one of the key concepts in modern quantum technology. Fully understanding it can help us advance our knowledge in quantum information processing.

For many years, scientists have struggled to understand the mechanisms behind palladium/platinum catalysts for propylene electrooxidation, a sustainable means of producing valuable oxygen-containing organic compounds used in various industrial processes. Yet a research group has further clarified the matter in a recently published journal.

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under different conditions. The results may help design high-performance catalysts that can take harmful carbon dioxide and convert it into green, carbon-based fuels.

Researchers have explored how  artificial intelligence and machine learning are helping scientists identify catalysts for methane pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide.