2results about How to "Build security" patented technology

This invention relates to the field of biomedical materials technology. It discloses a metal-organic hydrogel-mediated soluble microneedle patch, its preparation method, and its applications. The microneedle patch comprises a matrix and needles, wherein the matrix and needles contain a metal-organic hydrogel, polydimethylsiloxane, and a poorly soluble target drug. This application innovatively applies a metal-organic hydrogel to the preparation of a soluble microneedle patch, constructing an amphiphilic matrix with polydimethylsiloxane. This enables the preparation of soluble microneedle formulations containing uniformly distributed poorly soluble drugs, expanding the application scenarios for poorly soluble drugs and improving resource utilization. It has significant value in the formulation preparation of poorly soluble drugs.

The invention discloses a low-voltage distribution network power failure area studying and judging method based on graph neural network and fuzzy feature fusion, and the method comprises the following steps: collecting multi-source measurement data, carrying out the normalization, time alignment and feature construction, and forming node features; modeling the abnormal degree of the measured data based on a fuzzy membership function, and fusing multi-dimensional observation information by using soft union operation to generate a user side-superior side multi-source fuzzy evidence; introducing a time decay adjacency matrix, a node type embedding matrix and a power balance consistency constraint, and establishing a power distribution network dynamic representation model based on a space-time diagram neural network; and the node features are input into a double-task output structure, so that intelligent identification and user-level research and judgment of the power failure area are realized. According to the method, a fuzzy evidence fusion mechanism and a physical consistency constraint mechanism are introduced into a space-time diagram neural network framework, a dynamic multi-layer research and judgment system for the low-voltage power distribution network is constructed, and collaborative optimization of a data layer, a model layer and a reasoning layer is achieved.