A one-stop integrated natural antimicrobial microneedles with anti-inflammatory, pro-angiogenic and long-term moisturizing properties to accelerate diabetic wound healing.

Diabetic ulcers present a formidable obstacle in diabetes management, typically leading to high mortality and amputation rates. To overcome traditional monotherapy drawbacks, We developed a novel microneedle strategy for combined antimicrobial action: ingeniously integrating quercetin with Platelet-derived Growth Factor-BB(PDGF-BB) and Sucrose Octasulfate(SOS) into the microneedle system(QPS MN). This method allows to penetrate through biofilms, administering quercetin nanocrystals and PDGF-BB deep into the tissue to combat microbial infection, mitigate inflammation, and promote angiogenesis.

Analysis of AM-to-PM conversion in MUTC photodiodes based on an equivalent circuit model.

High-speed, high power-handling photodiodes with sufficiently low amplitude-to-phase (AM-to-PM) conversion coefficients are critical components in the systems that generate ultra-stable microwave signals. This paper reports the AM-to-PM conversion in modified uni-traveling carrier photodiodes (MUTC-PDs) with 20 µm and 40 µm diameters. The contributions of AM-to-PM conversions from the carrier transit-time and impedance were quantified systematically based on a photocurrent-dependent nonlinear equivalent circuit model.

Facial Expression Emotion Recognition Model Integrating Philosophy and Machine Learning Theory.

Facial expression emotion recognition is an intuitive reflection of a person's mental state, which contains rich emotional information, and is one of the most important forms of interpersonal communication. It can be used in various fields, including psychology. As a celebrity in ancient China, Zeng Guofan's wisdom involves facial emotion recognition techniques.

Dark current suppression of MgZnO metal-semiconductor-metal solar-blind ultraviolet photodetector by asymmetric electrode structures.

The application of asymmetric Schottky barrier and electrode area in an MgZnO metal-semiconductor-metal (MSM) solar-blind ultraviolet photodetector has been investigated by a physical-based numerical model in which the electron mobility is obtained by an ensemble Monte Carlo simulation combined with first principle calculations using the density functional theory. Compared with the experimental data of symmetric and asymmetric MSM structures based on ZnO substrate, the validity of this model is verified. The asymmetric Schottky barrier and electrode area devices exhibit reductions of 20 times and 1.