Tech & Engineering
Updates every hour. Last Updated: 3-Apr-2026 08:15 ET (3-Apr-2026 12:15 GMT/UTC)
Encoding adaptive intelligence in molecular matter by design
Indian Institute of Science (IISc)Peer-Reviewed Publication
- Journal
- Advanced Materials
EdUHK research team develops novel material to enhance cancer immunotherapy
The Education University of Hong KongReports and Proceedings
KIST develops eco-friendly palladium recovery technology to safeguard resource security
National Research Council of Science & TechnologyPeer-Reviewed Publication
A research team led by Dr. Jae-Woo Choi from the Water Resources Recycling Research Group and Dr. Jin Young Kim from the Center for Hydrogen and Fuel Cells at the Korea Institute of Science and Technology (KIST, President Sangrok Oh) has developed an eco-friendly palladium recovery technology based on titanium-based maxene material ('TiOx/Ti3C2Tx') nanosheets. Existing overseas technologies operated only in strongly acidic environments, limiting their applicability to weakly acidic wastewater commonly found in industrial settings.
- Journal
- Advanced Functional Materials
- Funder
- Ministry of Science and ICT
A new AI-based method advances solid oxide cell modeling by improving physical consistency and computational efficiency
ELSPPeer-Reviewed Publication
- Journal
- AI & Materials
Uncovering the Secrets of Brain Aging: A Shanxi University team reveals joint functional-structural aging patterns from 27,793 samples
ResearchPeer-Reviewed Publication
Healthy aging induces parallel changes in brain functional activity and structural morphology, yet the interplay between these changes remains unclear. Prof. Yuhui Du’s team at the College of Computer and Information Technology, Shanxi University, in collaboration with Prof. Vince D. Calhoun (Georgia State University), analyzed multimodal neuroimaging data from 27,793 healthy subjects (aged 49-76 years) in the UK Biobank. They proposed a unified framework for single-modal and multimodal brain-age prediction and joint functional-structural aging analysis, systematically characterizing diverse synergistic vs. contradictory aging patterns between functional network connectivity (FNC) and gray matter volume (GMV). Importantly, these joint patterns were further linked to specific cognitive decline. The study, titled “Joint aging patterns in brain function and structure revealed using 27,793 samples” was published in Research (2025, 8:0887; DOI: 10.34133/research.0887).
- Journal
- Research
- Funder
- National Institutes of Health, National Science Foundation of the United States, Shanxi Provincial Natural Science Foundation, Sanjin Talent Science and Technology Innovation Leading Talent Project
Digital reshaping of banking stability: the dual role of transformation in systemic risk
Shanghai Jiao Tong University Journal CenterPeer-Reviewed Publication
Abstract
Purpose – The impact of digital transformation on banks’ systemic risk merits thorough investigation.
Design/methodology/approach – This study examines the influence of digital transformation on banks’ systemic risk based on the fixed effect model with quarterly unbalanced panel data on 36 listed commercial banks in China from 2011 to 2020.
Findings – Results show that digital transformation has a negative impact on banks’ systemic risk by reducing both bank-specific tail risk and systemic linkage to extreme market shocks. Heterogeneity analysis suggests that digital transformation can significantly reduce systemic risk in national commercial banks relative to regional commercial banks, mediated through lowered management costs. Finally, this study finds an asymmetric relationship between digital transformation and banks’ systemic risk. Particularly, a desirable level of digital transformation can reduce systemic risk, while excessive digital transformation may exacerbate it.
Originality/value – These findings provide valuable guidance for promoting digital transformation for banks and mitigating systemic risk from digitalization.
- Journal
- China Finance Review International