The article utilizes the friction electromagnetic induction coupling mechanism to design a single fiber based Fibre-WBAN it converts the mechanical energy generated by the human body movement into electrical signals and uses the fiber coils to convert the low-frequency time-domain signals into high-frequency frequency-domain signals (40 MHz) for wireless data transmission.

A research team led by Academician YU Shuhong from the University of Science and Technology of China (USTC) of Chinese Academy of Sciences (CAS) reported a new strategy for preparing the nacre-like ceramic-metal composites (ceramets) based on deformable alumina microspheres coated with nickel salt. The material has excellent bending strength and fracture toughness, and can be mass-produced in various shapes through simple techniques. This research was published in National Science Review.

Research teams led by Prof. LUO Xisheng and Prof. SI Ting from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) established a theoretical method for designing smooth curved wall surfaces with variable cross-section shock tubes, and developed an integrated, high-intensity multifunctional shock tube device. The study was published in Review of Scientific Instruments.

Based on the device and techniques, the research team further developed a discontinuous perturbation interface generation technology, pioneering the experimental and mechanistic study of strong shock wave impact on single-mode fluid interface instability in shock tubes. The results were published in Journal of Fluid Mechanics in the form of Rapids.

Recently, researchers from the University of Science and Technology of China (USTC) reveals that not all forms of quantum nonlocality guarantee intrinsic randomness. They demonstrated that violating two-input Bell inequalities is both necessary and sufficient for certifying randomness, but this equivalence breaks down in scenarios involving multiple inputs. This finding has been published in Physical Review Letters

A research team led by Prof. SHI Long and Prof. ZHANG Heping from the University of Science and Technology of China (USTC) of Chinese Academy of Sciences (CAS) established the most comprehensive city-level fire incident database to date, covering 20.6% of the global population and quantified the intrinsic link between climate change and urban fire risks. The study was published in Nature Cities.