A research paper by scientists from Huazhong University of Science and Technology presented a jellyfish-inspired magnetic soft robot (J-MSR) capable of ultrafast swimming and seamless multimodal motion transitions in liquid environments.

The new research paper, published on Apr. 3 in the journal Cyborg and Bionic Systems, developed a jellyfish‑inspired magnetic soft robot (J‑MSR) that combining record‑breaking speed with seamless multimodal motion and functional integration.

A new study published in Research describes a deep-learning system designed to assist lumbar spine MRI at the point of image acquisition rather than only after scanning. The system, named Lumbar VNet Pro (LVP), was embedded directly into the MRI workflow and evaluated in a multicenter clinical setting. According to the study, the platform supports automated anatomical localization, scan-plane optimization, and real-time structural analysis during MRI scanning, offering a possible route toward more standardized and intelligent imaging workflows.

A collaborative team led by Professor Zeng-Bing Chen from Nanjing University and Associate Professor Hua-Lei Yin from Renmin University of China has experimentally demonstrated an efficient multiuser source-independent (SI) QCKA protocol based on Bell state distribution.

To investigate the role of KIF13B in SICD, a research team led by Prof. Xunde Xian from Peking University conducted a series of experiments using mouse models of sepsis and cultured cardiomyocytes.

This study represents the first report of loading TIG onto hemoglobin (HB) nanoparticles. This system utilizes the iron dependence of K. pneumoniae to enhance the targeting ability of TIG and increase the drug concentration at the infection site, thereby enhancing the antibacterial activity and providing a promising strategy for combating drug-resistant gram-negative bacterial pneumonia.