Abstract: The present application relates to processes for the preparation of quinolone compounds and intermediates thereof, particularly to processes for the preparation of quinolones and pharmaceutical intermediates of the quinolones. In particular, the present application provides a process for the preparation of a compound of Formula I, and a process for the synthesis of quinolone compounds using the compound of Formula I as an intermediate.

Abstract: The present disclosure provides a display panel and a display apparatus.

Abstract: An improved method and system for image alignment of an inspection image are disclosed. An improved method comprises acquiring an inspection image, acquiring a reference image corresponding to the inspection image, acquiring a target alignment between the inspection image and the reference image based on characteristics of the inspection image and the reference image, estimating an alignment parameter based on the target alignment, and applying the alignment parameter to a subsequent inspection image.

Abstract: A method for assessing test adequacy of deep neural networks based on element decomposition is provided. The network testing is divided into black box testing and white box testing, of which key elements are decomposed and defined. Network parameters including a weight matrix and a bias vector are extracted. Importance values of neurons in individual layers of the deep neural network are calculated and clustered, and an importance value hot map of neurons in each layer is generated based on clustering results. Mutation testing, and index calculation and evaluation are performed.

Abstract: A method for rapidly acquiring multi-field response of mining-induced coal rock is provided. Based on 3D printing, the method achieves the control of material deformation and turns from 3D to 4D, thus saving manpower and material resources; further, repeated experiments may still be carried out under approximately the same conditions after each printing, so that the similarity of similarity simulations is greatly improved and a stable and reliable scientific law is conveniently obtained; besides, a BP neural network model may be built based on the data collected from similarity simulations to rapidly acquire an accurate and real coal seam mining response.