Recent advancements in the tribovoltaic effect for human motion energy harvesting and wearable self-powered sensing
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Oct-2026 07:16 ET (26-Oct-2026 11:16 GMT/UTC)
In a review, researchers summarize tribovoltaic nanogenerators for harvesting human motion energy. These systems not only produce stable direct-current electricity with high power density but also enable self-powered sensing for real-time motion and physiological monitoring. Advanced materials, interface engineering, and textile designs further enhance flexibility, durability, and performance for wearable applications.
Regular physical activity is a cost-effective strategy for cardiovascular health. However, comprehensive evidence on the specific impact of different exercise types remains limited. Now, a team of researchers from Fuwai Hospital, Chinese Academy of Medical Sciences published a review in Medicine Plus. It elucidates the effects of aerobic, muscle-strengthening, and combined exercises on cardiovascular diseases, summarizes underlying mechanisms, and highlights the critical value of personalized exercise strategies in health promotion.
As researchers seek better batteries beyond today’s lithium-ion technology, black phosphorus is drawing growing attention as a high-capacity anode material for lithium-, sodium-, and potassium-ion storage. A new Science Bulletin review examines both the promise and the practical barriers of this material, from structural instability to interfacial degradation, and highlights emerging strategies to address them. The article provides a clear roadmap for developing more durable, scalable, and higher-energy battery anodes for future energy-storage systems.
From workplace assistants to negotiating bots, AI is increasingly expected to work with people. But humans often cooperate less with machines than with other humans. A new study finds that AI can overcome this “machine penalty” — but only when it acts fairly, not when it is merely nice or purely self-interested.
A recent study published in National Science Review has revealed new insights into the global riverine carbon cycle. This study constructed global maps of riverine dissolved organic carbon (DOC) concentration, along with its radiocarbon (Δ14C) and stable carbon isotope (δ13C) signatures, based on a comprehensive global database and machine learning approaches. It systematically elucidates the sources, spatial distribution, and age characteristics of riverine DOC, quantifies the contributions of different endmembers, and reveals how its age and origin are dynamically regulated by climate conditions, hydrological processes, and soil properties. The results show that soil carbon residence time plays a key role in determining the age of dissolved organic matter transported by global rivers. In particular, warming-induced permafrost thaw is accelerating the release of long-preserved “old carbon” into river systems. Once mobilized, this aged carbon can be transported downstream and participate in aquatic biogeochemical processes, potentially enhancing carbon cycle feedbacks to the climate system.
To address the long-standing challenges of difficult mass-production and low phase purity in high-entropy sodium vanadium fluorophosphates (HE-NVPF), this study developed a microfluidic system integrated with in-situ Raman spectroscopy. This setup allows for the high-throughput optimization of reaction conditions, achieving an iteration efficiency 400 times higher than traditional methods. Based on these insights, the author developed a microfluidic-assisted spray drying technique, enabling the kilogram-scale production of various HE-NVPF cathode materials . The resulting cathodes demonstrate record-breaking rate performance in sodium-ion batteries, proving the universal potential of this microfluidic synthesis platform.
Boundary states in topological states of matter are determined by bulk topological invariants. The conventional bulk–boundary correspondence typically maps a single invariant to a specific boundary mode, which complicates the description of systems hosting multiple coexisting topological phases. Now, writing in the journal National Science Review, researchers proposed a unified characterization of strong, weak, and higher-order topological boundary states in two-dimensional Floquet systems using three complementary one-dimensional winding numbers, offering new insights into the prediction and manipulation of complex topological phases.