Heat stroke poses a significant health risk, especially during extreme temperature conditions. While social media posts have demonstrated potential for detection of infectious diseases, its reliability remains a challenge. Now, researchers from Japan demonstrate the potential of combining social media posts and deep learning models for early detection of heat stroke risks. This approach opens up new possibilities for leveraging real-time data in event-based surveillance, enabling timely detection and response to heat stroke threats.

Researchers from Osaka University found that peristaltic pump flow mechanically breaks supersaturation to induce amyloid formation by hen egg white lysozyme, a-synuclein, amyloid b 1-40, and b2-microglobulin. The high shear stresses induced by peristaltic flow likely reflect those that occur the blood and cerebrospinal fluid, suggesting that this factor could promote amyloidosis.

Researchers from Osaka University found that knockdown of the Adaptor Protein Complex 2, Alpha 1 Subunit (AP2A1) rejuvenates aging cells, while AP2A1 overexpression ages young cells. AP2A1 appears to mediate these effects by promoting integrin β1 translocation along enlarged stress fibers, which in turn creates large cell–substrate adhesions and strengthens cellular anchoring to the substrate, potentially explaining how senescent cells maintain their large size.

A groundbreaking study explores Ba-Si orthosilicate oxynitride-hydride (Ba₃SiO_5−xN_yH_z) as a sustainable catalyst for ammonia synthesis, offering a potential alternative to traditional transition metal-based systems. Synthesized through low-temperature solid-state reactions and enhanced with ruthenium nanoparticles, these compounds demonstrated improved catalytic performance under milder conditions, providing a more energy-efficient route to ammonia production. This approach also addresses the environmental challenges associated with conventional methods, signaling a shift toward greener industrial practices in ammonia production.