Scientists have developed an innovative ‘liquid-phase carbonization’ method to recycle waste polyethylene terephthalate into porous micro/nanostructured hard carbon enriched with intrinsic carbon defects. This material exhibits high specific capacity (355 mAh g^-1 at 0.1 A g^-1), superfast charging capability (132.6 mAh g^-1 input within 13 s of charging), and ultralong cycling stability (100,000 stable cycles at 50 A g^-1) as an anode for sodium-ion batteries. These findings are expected to have broader applications in energy storage and waste management.

Treating brain diseases like tumors and Alzheimer's is notoriously difficult due to the blood-brain barrier (BBB), which blocks most drugs. While nanomedicine offers a promising solution, its path to the brain is a complex, multi-stage journey fraught with obstacles. A new comprehensive review published in Nano Research provides a "roadmap" for this journey, systematically breaking down the entire process—from surviving in the bloodstream to crossing the BBB and precisely targeting diseased cells. By detailing the challenges at each step and highlighting innovative strategies to overcome them, this work serves as a crucial guide to accelerate the development of effective brain-targeted therapies.

As an innovative integrated practice in the field of digital traditional Chinese medicine (TCM), TCM Phenomics 2.0 deeply integrates the core technologies and values of digital medicine. Leveraging cutting-edge technologies such as artificial intelligence and medical digital twins, it addresses the developmental bottlenecks of the first-generation TCM phenomics, and constructs a systematic closed-loop diagnosis and treatment system. It not only upgrades TCM diagnosis and treatment toward digitization and standardization, but also builds a pivotal bridge for the integration of TCM and Western medicine, pioneering an entirely new paradigm for the advancement of precision medicine. 

This article investigates the classical limit of the Jarzynski equality in quantum systems, specifically using a nonlinear Jaynes-Cummings model representing a superconducting optical cavity with Kerr nonlinearity.

Key Findings:

Two Distinct Regimes: The study reveals a classical regime at high temperatures and low Kerr intensities where the Jarzynski equality holds, and a quantum regime at low temperatures and high Kerr intensities where it fails.

Quantum Resource Identification: The Kerr nonlinearity term creates quantum behavior that can be identified as a quantum resource for quantum computing advantages in non-zero temperature environments.

Work Operator Definition: The authors use a work operator in the interaction picture and apply Dyson expansion to evaluate the averaged exponentiated work.

Temperature-Nonlinearity Interplay: An intricate relationship between Kerr nonlinearity and temperature governs the quantum-to-classical transition and determines the validity domain of the Jarzynski equality.

Nonclassical Behavior: External work increases the state's nonclassicality, with deviations from Jarzynski equality serving as evidence of quantum behavior.