HKUST researchers develop novel model to unveil deep-sea black coral symbiotic system
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Jan-2026 16:11 ET (26-Jan-2026 21:11 GMT/UTC)
The therapeutic use of human calcitonin (CT) in humans is limited by rapid receptor desensitization (tachyphylaxis), which requires short-term dosing despite the need for long-term treatment. In contrast, fish CT-CT receptors (CTR) exhibit extraordinary resistance to desensitization, enabling lifelong calcium regulation in high-Ca2+ marine environments. Here, we analyze the evolutionary, structural, and functional distinctions between fish and human CT systems. We propose that the unique molecular structure of fish CT and CTR may provide templates for engineering durable therapeutic agents to overcome tachyphylaxis.
Harnessing solar energy to enhance the rechargeable zinc–air batteries (RZABs) performance is a promising avenue toward sustainable energy storage and conversion. Simultaneously enhancing light-absorption capacity and carrier separation efficiency in nanomaterials, as well as improving electrical conductivity and configuration for electrocatalysis, presents a formidable challenge due to inherent trade-offs and interdependencies. Here, we have developed a Janus dual-atom catalyst (JDAC) with bifunctional centers for efficient charge separation and electrocatalytic performance through a bipolar doping strategy. The in situ X-ray absorption near-edge structure and Raman spectroscopy analyses demonstrated that the Ni and Fe centers in JDAC not only function as effective sites for oxygen evolution reaction and oxygen reduction reaction, respectively, but also serve as efficient hole and electron enrichment sites, effectively suppressing photoelectron recombination while enhancing photocurrent generation. As a result, the assembled JDAC-based light-assisted RZABs exhibited extraordinary stability at large current densities. This work delivers pivotal insight to design Janus dual-atom catalysts that efficiently convert solar energy into electric and chemical energy.
A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence (AI) device that exploits ion behavior to perform information processing. The team succeeded in reducing the computational load to about 1/100 of that required for conventional deep learning. The technology is expected to contribute to enhancing the information processing performance of "edge AI" operating directly on terminal equipment (an edge device). This research was published in ACS Nano on October 14, 2025.
This study systematically elucidates the drug resistance mechanisms of five highly pathogenic viruses, proposes five innovative anti-resistance strategies, and integrates artificial intelligence technology to establish a next-generation antiviral drug research and development framework, thereby providing critical theoretical support and transformative pathways for addressing clinical challenges associated with drug resistance.