News from Japan
Updates every hour. Last Updated: 31-Oct-2025 08:11 ET (31-Oct-2025 12:11 GMT/UTC)
Computationally accelerated organic synthesis – Optimal ligand prediction for generating reactive alkyl ketone radicals
Hokkaido UniversityPeer-Reviewed Publication
- Journal
- Journal of the American Chemical Society
- Funder
- Japan Science and Technology Agency, Japan Society for the Promotion of Science
Discovery of a new principle: chiral molecules adhere to magnets
Institute for Solid State Physics, the University of TokyoPeer-Reviewed Publication
A research group at The University of Tokyo has discovered a new principle by which helical chiral molecules acquire spin through molecular vibrations, enabling them to adhere to magnets. Until now, it was believed that chiral molecules could only exhibit magnetic properties when an electric current was applied. This discovery overturns that conventional understanding.
- Journal
- Science Advances
Quantum jam sessions teach quantum and jamming
Kobe UniversityReports and Proceedings
- Meeting
- 3rd International Symposium on Quantum Computing and Musical Creativity
Groundwater decline and land subsidence threaten India’s big cities
United Nations UniversityPeer-Reviewed Publication
- Journal
- Nature Sustainability
Fibroblasts: Hidden drivers of heart failure progression
Okayama UniversityPeer-Reviewed Publication
Heart failure (HF) has long been blamed on weakened heart muscle cells, but new research shows that support cells called fibroblasts may be a key factor. Researchers found that fibroblasts send harmful signals through the MYC–CXCL1–CXCR2 pathway, interfering with heart function. Blocking this pathway in mice improved their cardiac performance, with similar changes observed in human heart tissue. These findings highlight a new potential target for treating severe HF.
- Journal
- Nature Cardiovascular Research
- Funder
- Japan Society for the Promotion of Science, SENSHIN Medical Research Foundation, Keio University Grant-in-Aid for Encouragement of Young Medical Scientists, Ushioda Memorial Foundation for Keio Doctoral Student Research Support Programme, Daiwa Securities Health Foundation, Grant for Basic Research of the Japanese Circulation Society (2020), Japan Heart Foundation Research Grant, Japanese Heart Failure Society Basic Research Grant, Sakakibara Heart Foundation Grant, Cardiovascular Innovative Conference Grant, Novartis Pharma Grants for Basic Research 2022, The Bayer Scholarship for Cardiovascular Research, Mochida Memorial Foundation for Medical and Pharmaceutical Research Grants, MSD Life Science Foundation, Takeda Science Foundation, Chugai Foundation for Innovative Drug Discovery Science: C-FINDs, Mitsubishi Foundation, Astellas Foundation for Research on Metabolic Disorders, UTEC-Utokyo FSI Research Grant Programme, JST FOREST Programme, Japan Agency for Medical Research and Development
Thankful at work: A two-week gratitude journal boosts employee engagement
Ritsumeikan UniversityPeer-Reviewed Publication
A new study from Ritsumeikan University found that a 12-day online gratitude journaling exercise significantly boosted work engagement among Japanese employees. Participants who daily noted things they were grateful for became more aware of colleague support, supervisor feedback, and opportunities to take initiative: reflecting greater recognition of job resources. These findings suggest that intentionally cultivating gratitude provides individuals and organizations with a low-cost, effective approach for enhancing workplace engagement through greater awareness of available resources.
- Journal
- BMC Psychology
Faster and more reliable crystal structure prediction of organic molecules
Waseda UniversityPeer-Reviewed Publication
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and time-consuming. Now, researchers from Japan have developed a new workflow: SPaDe-CSP that accelerates CSP by machine learning-based prediction of most probable space groups and crystal densities and employing an efficient neural network potential for structure refinement. It achieved faster and more reliable CSP than conventional methods.
- Journal
- Digital Discovery
Molecules in motion: pioneering the era of supramolecular robotics
Keio University Global Research InstitutePeer-Reviewed Publication
In nature, living systems effortlessly sense, move, and adapt to changing environments. Replicating such dynamic behavior in artificial materials has long challenged scientists. A recent study introduces supramolecular robotics—a molecular design strategy that enables soft materials to exhibit autonomous motion, reversible transformations, and tissue-like organization. This innovation marks a key step toward creating programmable, life-like systems that blur the line between chemistry and robotics.
- Journal
- Accounts of Materials Research
- Funder
- Japan Society for the Promotion of Science
GLIS model as a predictor of outcomes in older adults with heart failure
Juntendo University Research Promotion CenterPeer-Reviewed Publication
As populations age worldwide, heart failure and sarcopenia—the loss of muscle mass and strength—pose growing risks to older adults. Existing diagnostic criteria for sarcopenia are inconsistent and may miss high-risk patients. Researchers from Japan analyzed older patients with heart failure in the FRAGILE-HF study and found that the new Global Leadership Initiative on Sarcopenia (GLIS) model identified impaired physical performance and predicted two-year all-cause mortality more accurately than the widely used AWGS2019 criteria.
- Journal
- European Journal of Preventive Cardiology
