3results about How to "Controllable growth" patented technology

This invention belongs to the field of core-shell material technology and discloses a core-shell material based on nickel-manganese oxide / nickel-manganese organic framework and its preparation method, including the following steps: mixing nickel salt, manganese salt and organic ligand solution, and carrying out a hydrothermal reaction under alkaline conditions to synthesize a nickel-manganese organic framework precursor; subjecting the nickel-manganese organic framework precursor to programmed temperature heat treatment in a mixture of inert gas and oxygen to obtain a heterogeneous nanostructured nickel-manganese oxide / nickel-manganese organic framework core-shell material. By precisely controlling the concentration of the organic ligand solution and the pH value of the reaction system, and by optimizing the synthesis conditions, uniform and controllable growth of the nickel-manganese organic framework core is achieved.

The application discloses application of bile acids in weaning piglet feeding and relates to the field of piglet breeding, and aims to solve the problem that different types of bile acids have unclear effects on piglets in the prior art. The technical scheme is that optimal bile acids corresponding to different purposes are provided in the growth process of piglets. By selecting optimal bile acids for different biological sign improvement targets, the use of different types of bile acids is more clear, and the growth of piglets is more controllable.

The application discloses a kind of tunnel lining crack detection method and system based on improved YOLO model, constructs the tunnel lining crack detection model based on improved YOLO (including but not limited to YOLOv8-YOLOv12 and its derivative architecture), including in the feature extraction module of main network Backbone, introduction expansion residual network DWR;Variable convolution and channel-space double attention mechanism are introduced in detection head network Head;Optimize bounding box regression loss function, and boundary box regression loss is calculated using Inner-CIoU loss function.The application realizes the high-precision, real-time detection of multi-scale cracks, especially fine cracks, under the premise of not significantly increasing the computing overhead, through the multi-level, collaborative improvement of network structure.This method is not only suitable for tunnel lining crack detection, but also can be widely used in the detection of other fine crack defects such as bridges, roads and building exterior walls.