New plastic turns into a gas when heated – then reforms once cooled
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 16:16 ET (27-Oct-2026 20:16 GMT/UTC)
What if the key difference between human intelligence and AI isn’t computing power, but the chemistry of memory? New research proposes that the brain may not simply transmit information electrically, it may also “write” and “read” memories chemically, through interactions among neurons, astrocytes and their surrounding molecular environment. The theory connects memory with emotion and thought, raising a timely question as AI grows more sophisticated: Can computation alone ever produce the kind of consciousness generated by a living brain?
Researchers have developed a dopamine-enhanced soft electrode that helps wearable drug-delivery patches operate more reliably in wet conditions. The additive improves the electrode’s structure, protects it during electrical operation and strengthens its attachment to the device. In laboratory tests using pig skin, the electrode delivered model compounds more effectively and remained functional during repeated use, offering a potential route to longer-lasting iontophoresis patches.
CSwinUKAN, a crack-segmentation model for tunnel linings that combines Swin Transformer and Tokenized KAN within an enhanced U-Net, is introduced in the study. The model outperformed multiple baselines and delivered notably higher recall, reducing missed detections in safety-critical inspections.
>Solving the problem of mRNA-loaded lipid nanoparticles accumulating in the liver and causing unintended expression of pharmacologically active proteins
>By coating the walls of intrahepatic capillaries (liver sinusoidal walls), the accumulation of lipid nanoparticles in the liver is prevented (demonstrated in animal studies)
>Improved efficacy and safety in infectious prevention vaccines, cancer treatment vaccines, and cytokine therapies
>Substances with established clinical safety profiles are used as coating agents (enabling rapid clinical trials)
>Published online in ACS Nano: http://doi.org/10.1021/acsnano.6c08403
The study introduces an integrated engineering framework that combines transcriptomic analysis with a transcriptome-constrained genome-scale metabolic model (GEM) to identify metabolic engineering targets for enhanced bioplastic production. Rather than relying on conventional trial-and-error strain engineering, the approach predicts genetic modifications that redirect metabolic flux toward product biosynthesis, providing a new strategy for agricultural waste valorization and sustainable biomanufacturing.