Diabetes affects millions worldwide, causing both nerve and metabolic complications. A recent study suggests that diabetic nerve damage may also lead to impaired bone health. Using a mouse model of Type 2 Diabetes, researchers uncovered that sensory nerve loss in tissues surrounding bones disrupts key cell signaling pathways in bone tissue—leading to reduced strength and regenerative capacity. The study offers new insights on the link between neuropathy and skeletal deterioration.

This breakthrough research from Shanghai Jiao Tong University overcomes critical barriers to silicon micro-ring resonator (MRR) commercialization. By heterogeneously integrating low-loss phase-change material Sb₂Se₃, the team created non-volatile, "smart-programmable" transceivers enabling precise, full-spectral-range wavelength tuning via electrical pulses. Crucially, the technique preserves high performance, achieving 100 Gbps per MRR (400 Gbps total for 4 cascaded rings) and introducing an innovative thermal compensation scheme for stability. This work provides a robust solution for high-density, low-power optical interconnects, accelerating MRR technology from the lab towards transformative applications in data centers and high-speed networks, while showcasing the power of multidisciplinary innovation.

Gene delivery is a key area in biomedicine, where nucleic acids are delivered into cells to treat diseases by modulating genes. The low micelle concentration, effective nucleic acid complexation, and low immunogenicity make Gemini surfactants promising gene delivery vectors. Recently, a paper published in MedComm-Future Medicine summarizes strategies to improve the transfection efficiency or biocompatibility of Gemini surfactant vectors and explores their delivery mechanisms, thereby offering new insights into the field's development.

Research on the optical coherence manipulation has made significant progress, but the modulation rate of conventional tailoring technology is too low, which has become a key factor hindering its transition from laboratory to practical application. Here, we utilize lithium niobate films (LNF) modulator to achieve high-speed optical coherence manipulation based on its high-speed electro-optical modulation capability. Our experimental modulation rate reaches 350 kHz, which is about 20 times higher than the fastest modulation rate reported so far. This design strategy provides a simple rule for high-speed optical coherence manipulation based on electro-optical modulation, paving the way for further practical applications of optical coherence manipulation technology.

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting diode (OLED) materials used in next-generation display and lighting technologies, but these performance goals are increasingly difficult to reach with conventional trial-and-error design methods. In a new review published in Science Bulletin, researchers from Beijing Jiaotong University and Sichuan University present "Integrating AI into OLED Material Design: A Comprehensive Review of Computational Frameworks, Challenges, and Opportunities." The paper discusses how artificial intelligence (AI) can help overcome the limitations of traditional approaches, accelerate OLED material discovery, and offers a practical multi-level framework to guide future research in this field.

Research teams from Zhaoqing University and South China Normal University have provided an overview of the development of metal-organic framework (MOF)-derived lithium-ion battery (LIB) cathode materials. By the use of the MOF-mediated approach, the multiscale design of LIB cathodes from morphology, composition, and atomic/electronic configuration can be realized, resulting in a significant enhancement in lithium storage. This review provides valuable insights into the directional design of next-generation LIB cathodes.

Focusing on the research progress of electro-synthetic value-added chemicals, this comment proposes lab strategies to enhance energy conversion efficiency, including catalyst screening, process monitoring, interface optimization, and mass transfer design, with analysis of implementation challenges. It also emphasizes that for industrial application of electrosynthesis technology, breakthroughs are needed in performance, lifespan, and cost, and multidimensional challenges such as modular integration, thermal and mass management, smart control, power configuration, and material separation must be addressed.