Hydrophilic deep eutectic solvents show potential for more sustainable dissolving pulp production
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A perspective published in the Journal of Bioresources and Bioproducts examines the emerging role of silk fibroin (SF)/polylactic acid (PLA) composite scaffolds in bone and related tissue regeneration. The review brings together evidence on material chemistry, scaffold architecture, interfacial bonding, degradation, mechanotransduction, osteogenesis, angiogenesis and immunomodulation. Rather than treating fabrication methods or biological responses separately, the authors discuss how these factors interact to determine scaffold performance. The review also assesses evidence across in vitro, animal and translational studies, concluding that substantial work remains before SF/PLA scaffolds can move toward human clinical applications.
In today's electric vehicle batteries, a single weak cell can limit the life of the entire battery pack, even when the other cells are still working well. The goal is for future batteries to be able to bypass weak cells and make better use of the remaining capacity. A study, led by researchers at Chalmers University of Technology, in Sweden, now shows that a new ‘smart battery architecture’, under optimal conditions, can give electric vehicle batteries over 20 percent longer life in certain vehicles. At the same time, the total cost can be reduced over the battery's lifetime.
A new perspective organizes ten frontier questions into an integrated roadmap for nuclear science and technology. The framework connects fundamental questions - from the origin of visible mass to the cosmic production of the elements - with enabling theories and facilities, practical technologies, and the long-term governance needed to sustain the field.
Illinois physicists devise a new way to define and categorize non-equilibrium mixed-state phases of matter, providing an alternative definition that solves issues plaguing existing classification methods.
Researchers discover a fully deterministic, nonchaotic model that is initially unpredictable yet gives rise to predictability that gradually self-organizes through the model’s dynamics.