Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface Nprediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

Abstract: The present invention relates to the field of data identification, and in particular to two-dimensional code technology. Provided in the present invention is a two-dimensional code-based file acquisition method, comprising: step 1, parsing a two-dimensional code to acquire two-dimensional code encoded data, wherein the encoded data comprises a first unique value, encrypted data, and signature data; step 2, verifying the signature data; step 3, decrypting the encrypted data to acquire a file address and an. nth data segment In; step 4, acquiring an. encrypted file according to the nth data segment In and the file address; step 5, verifying the encrypted file according to the first unique value to acquire a decrypted file. The present invention solves the technical problems of easy tampering and poor security when data is stored and acquired on the basis of a two-dimensional code, and implements secure and reliable information protection.

Abstract: The present disclosure provides a method for separating a neural crest derived cell from peripheral blood. In the present disclosure, a mononuclear cell is separated from the peripheral blood and then directly cultured, thereby maximizing use of a neural crest stem cell with a differentiation potential to avoid loss of the neural crest stem cell. In the method of the present disclosure, a sample to be separated is derived from the peripheral blood. The method shows less trauma and low cost. Most importantly, compared to extracting the neural crest derived cell from tissues, the neural crest derived cell extracted from the peripheral blood can be used clinically as a type of biomarker.

Abstract: The present invention relates to the field of data identification, and in particular to two-dimensional code technology. Provided in the present invention is a two-dimensional code-based file acquisition method, comprising: step 1, parsing a two-dimensional code to acquire two-dimensional code encoded data, wherein the encoded data comprises a first unique value, encrypted data, and signature data; step 2, verifying the signature data; step 3, decrypting the encrypted data to acquire a file address and an. nth data segment In; step 4, acquiring an. encrypted file according to the nth data segment In and the file address; step 5, verifying the encrypted file according to the first unique value to acquire a decrypted file. The present invention solves the technical problems of easy tampering and poor security when data is stored and acquired on the basis of a two-dimensional code, and implements secure and reliable information protection.