Delayed wound healing in skin is strongly correlated with excessive reactive oxygen species (ROS) generation. Corn peptides (CPs) have robust antioxidant and anti-inflammatory effects. Therefore, the study sought to evaluate the wound healing effect of topical application of CPs embedded in wound dressings fabricated using the coaxial electrospinning technique. A special structure, which was a co-axial structure with a Janus-structured sheath, was displayed on the fiber. The fibers exhibited stable thermal properties, suitable tensile properties, high wettability, excellent biocompatibility, and free radical scavenging capability. Additionally, a first-order release profile of CPs from the fibers showed that approximately 92% of the drug was released within 80 min. In vivo experiments indicated that CPs-loaded fibrous membranes significantly improved the wound healing ratio, thickened the re-epithelialization layer, enhanced fibroblast proliferation, and increased the production of regenerated hair follicles and capillaries. Overall, it is promising that the combination of CPs and fibrous membranes with special structures applies in skin tissue engineering to promote wound repair.
Bone defects from tumors, trauma, or inflammation present major clinical challenges. Traditional autografts and solid metal implants are limited by donor-site morbidity and stress shielding. Porous scaffolds with triply periodic minimal surface (TPMS) architectures improve osseointegration by matching bone elasticity and facilitating tissue ingrowth. Recent evidence highlights curvature as a critical biophysical cue, with high-curvature regions promoting osteogenic proliferation and differentiation. Conventional Schwarz P structures, however, exhibit poor 3D interconnectivity and unfavorable low-curvature regions. To address this, we compared two designs: a mechanics-informed P1 scaffold (removing low-stress areas) and a curvature-guided P2 scaffold (eliminating low-curvature regions). CFD simulations, WSS mapping, and permeability analysis revealed enhanced fluid transport in both designs. Mechanical testing, finite element analysis, and Gibson-Ashby modeling demonstrated superior strength and energy absorption in P2. In vitro, P2 scaffolds promoted deep-layer cell migration and osteogenic differentiation, while in vivo they upregulated angiogenesis markers. Collectively, these findings highlight the potential of curvature-guided TPMS scaffolds to simultaneously enhance osseointegration and vascularization, representing a promising metamaterial strategy for bone regeneration.
Under complex working conditions, multidirectional vibration and impact seriously restrict the stable operation and service life of engineering structures and precision equipment. Traditional cushioning and vibration isolation systems focus on single‐direction nonzero stiffness design, which is difficult to meet the needs of multidimensional impact and vibration coupling conditions. For this reason, this work draws inspiration from efficient energy‐absorbing structures in nature and proposes an integrated bionic quasi‐zero‐stiffness (QZS) structure design strategy that incorporates cuttlefish bone‐mimicking S‐shaped structure with a beetle shell‐mimicking center ring cross structure. It is shown that the S‐shaped cubic cross center ring‐cross structure (S‐CCCRCS) developed through this design strategy exhibits a distinct QZS plateau and achieves outstanding energy absorption performance in the X, Y, and Z directions. Under impact loading, the S‐CCCRCS structure shows excellent cushioning performance with the lowest peak impact loads in all three directions; at the same time, due to its three‐dimensional QZS, the structure achieves highly efficient vibration isolation in the multidirectional low‐frequency range. The bionic composite QZS structure proposed in this work provides a feasible solution for high‐performance, multidirectional cushioning and vibration isolation in the fields such as rehabilitation medicine and smart devices.
This study develops and evaluates an artificial intelligence-based method for classifying skin tumors using clinical and dermoscopic images across seven benign and malignant types. Building on this dataset, we propose an optimized Vision Transformer (ViT) architecture incorporating two key modules: a data preprocessing module, CrossNorm and SelfNorm (CNSN), and a feature adaptation module, Multi-cognitive Visual Adapter (MONA), to enhance model performance and generalization. Comparative and ablation experiments were conducted, with rigorous evaluation using accuracy, precision, recall, F1-score, and area under the curve (AUC). Results demonstrate that the improved ViT achieves a classification accuracy of 92.14%, surpassing other neural network models by 0.13-18.75 percentage points, with precision, recall, F1-score, and AUC of 88.27%, 84.80%, 86.41%, and 99.38%, respectively. Ablation studies show that integrating CNSN and MONA increases accuracy, precision, recall, F1-score, and AUC by 1.12, 1.63, 3.48, 2.71, and 0.03 percentage points compared with the baseline ViT. The proposed model effectively supports physicians in diagnosis, offering more precise and efficient decision-making and holds significant potential for advancing skin tumor diagnostic technologies.
Hydrogel-based flexible strain sensors are gaining widespread attention for wearable sensing due to their flexibility, designability, and biocompatibility. However, achieving high mechanical strength, self-healing, and recyclability simultaneously remains challenging. This study is based on a dual crosslinking strategy combining physical interactions and dynamic covalent crosslinking. Natural functional components, including silk fibroin, tannic acid, and matrine, are incorporated into a polyvinyl alcohol (PVA)/borax system to construct a robust yet dynamic network, which leads to the development of a hydrogel strain sensor. Its compressive strength reaches 4.91 MPa, over 30 times higher than that of the original PVA (0.14 MPa) hydrogel, while also exhibiting about 60% self-healing efficiency. The reversible PVA crystalline domains formed via freeze-thaw processing work in concert with dynamic boronate ester bonds, enabling excellent recyclability. After reshaping and reprocessing, the hydrogel retains over 85% of its original mechanical and sensing performance. Additionally, the hydrogel can degrade rapidly within 24 h in an enzymatic environment, enabling eco-friendly disposal. This study provides a feasible and sustainable strategy for designing multifunctional hydrogel-based strain sensors, showcasing great potential for flexible electronics and wearable sensing systems.
