A research paper by scientists at City University of Hong Kong presented a 3-level intelligent framework for multijoint upper-limb assistance based on electromyography (EMG) to support the daily living activities of older adults..

The research paper, published on Jul 15, 2026 in the journal Cyborg and Bionic Systems.

With the widespread adoption of 5G communication and smart devices, electromagnetic radiation and interference have become critical issues affecting electronic equipment operation and human health. A research team led by Professor Guanglei Wu and Associate Professor Zirui Jia from Qingdao University has developed a novel CoS₂/NiS₂@HCNFs composite material. By employing an innovative strategy that combines bimetallic sulfide heterointerfaces with sulfur vacancies, they have successfully resolved the core challenge of balancing impedance matching and loss capability in traditional electromagnetic wave (EMW) absorbing materials. This material achieves an ultra-wide absorption bandwidth of 10.08 GHz at a minimal thickness of 2.6 mm, representing a 61% performance improvement over single-metal systems. It offers a lightweight, high-efficiency solution for electromagnetic protection, stealth technology, and 5G device shielding.

What makes a diet healthy—or not? According to a new study, nutritional quality matters more than processing level when it comes to long-term health. The study of over 200,000 people found that the overall quality of a person’s diet was strongly associated with their risk of heart disease, type 2 diabetes, and death. However, these associations did not appear to substantially differ based on food processing levels.

High-nickel batteries with manganese-rich protective shells are emerging as a cheaper and more sustainable alternative for electric vehicles. However, a study at Hanyang University reveals that exposing battery precursor materials to air alters manganese chemistry, creating reactive surface defects that accelerate electrolyte breakdown and cause battery degradation. A simple adjustment in lithium content during synthesis can suppress these defects and restore stability, helping manufacturers develop longer-lasting, high-energy batteries for future electric vehicles.

Modern natural language processing (NLP) systems face challenges in adaptability, privacy, and require immense computational resources, limiting real-world deplorability beyond the cloud. A new comprehensive review analyzes how recent paradigms of federated learning, reinforcement learning and their integration into NLP can address these issues and become the foundation of emerging intelligent systems (EIS), making AI more reliable, safer and deployable on grounded devices.

Spin waves, or magnons, have attracted attention as information carriers with potential applications in logic circuits, memory devices, and related technologies. Magnonic crystals (MCs) are important platforms for controlling magnon propagation and can be tailored for specific applications. However, general design rules for optimizing targeted properties in MCs remain unclear. In a new study, researchers developed an inverse-design framework to discover optimized MC structures based on target properties and help establish more effective design rules.