Mechanism investigation on the solid-solid phase transition of CL-20 induced by water vapor.

Energetic materials often possess different polymorphs that exhibit distinguishable performances. As a typical energetic material, hexanitrohexaazaisowurtzitane (CL-20 or HNIW) is one of the most powerful explosives nowadays. Phase transition of CL-20 induced by ubiquitous water vapor leading to an increase in sensitivity and a decrease in energy level is a key bottleneck that limits the widespread application of CL-20-based explosives.

A shear-responsive and lubricating hyaluronic acid-chondroitin sulfate-decellularized matrix hydrogel for articular cartilage regeneration.

The high-dynamic, high-loading environment in the joint cavity puts urgent demands on the cartilage regenerative materials with shear responsiveness and lubrication. Here, a new type of injectable hydrogel composed of oxidized hyaluronic acid (OHA), adipic dihydrazide-grafted hyaluronic acid (HA-ADH), oxidized chondroitin sulfate (OChs), and decellularized extracellular matrix methacrylate (dECMMA) was fabricated. The aldehyde groups in OHA and OChs reacted with the amino groups in HA-ADH to form a dynamic hydrogel, which was then covalently crosslinked with dECMMA to create a dual-crosslinked hydrogel with sufficient mechanical strength.

Comparative analysis of cavitation erosion behavior in wire-arc directed energy deposition and cast nickel-aluminum bronze alloys.

In this study, the cavitation erosion (CE) behavior of wire-arc directed energy deposition (DED) nickel-aluminum bronze (NAB) alloys is compared with that of cast alloys, and the synergistic effect between corrosion and CE is investigated. The CE resistance of the wire-arc DED NAB alloy is better than that of the cast alloys. The CE of NAB alloys preferentially occurs at the boundaries of the α-Cu and residual β phases, and in the matrix around the κ phase.

Effects and Safety of Botulinum Toxin Injection in Treatment of Androgenetic Alopecia: A Meta-analysis and Systematic Review.

Background: Androgenetic alopecia (AGA) is a prevalent condition that significantly affects the psychosocial well-being of many individuals, and its treatment remains a clinical challenge. Botulinum toxin (BTX) injections have been reported to have a therapeutic effect on AGA. Although several studies have explored the efficacy and safety of this novel treatment, most are clinical studies with small sample sizes.

Mfgnn: Multi-Scale Feature-Attentive Graph Neural Networks for Molecular Property Prediction.

In the realm of artificial intelligence-driven drug discovery (AIDD), accurately predicting the influence of molecular structures on their properties is a critical research focus. While deep learning models based on graph neural networks (GNNs) have made significant advancements in this area, prior studies have primarily concentrated on molecule-level representations, often neglecting the impact of functional group structures and the potential relationships between fragments on molecular property predictions. To address this gap, we introduce the multi-scale feature attention graph neural network (MfGNN), which enhances traditional atom-based molecular graph representations by incorporating fragment-level representations derived from chemically synthesizable BRICS fragments.