Abstract: A method for detecting abnormal direct current voltage measurement in a modular multilevel converter high voltage direct current transmission system is provided. In the method, a valve group voltage at a detection pole is obtained, voltages at voltage measurement points at the detection pole are collected, and comparison and determination are performed based on the actual arrangement of the voltage measurement points, and then whether an abnormal measurement occurs at each of the voltage measurement points is determined.

Abstract: The present invention provides a method for determining the prognosis of cancer in a subject. The method comprises measuring the amount of megakaryocytes in a sample from the subject. Usually, the sample is a blood sample. The method may also comprise measuring the number of circulating tumour cells (CTCs) in the sample, and in some embodiments a comparison of the number of megakaryocytes and CTCs in the sample. The present invention also provides methods of treatment for cancer in a patient for whom a poor prognosis is predicted using a method of prognosis of the invention.

Abstract: Embodiments of this application disclose a model structure, a method for training a model, an image enhancement method, and a device, and may be applied to the computer vision field in the artificial intelligence field. The model structure includes: a selection module, a plurality of first neural network layers, a segmentation module, a transformer module, a recombination module, and a plurality of second neural network layers. The model overcomes a limitation that the transformer module can only be used to process a natural language task, and may be applied to a low-level vision task. The model includes the plurality of first/second neural network layers, and different first/second neural network layers correspond to different image enhancement tasks. Therefore, after being trained, the model can be used to process different image enhancement tasks.

Abstract: The present invention provides a method for determining the prognosis of cancer in a subject. The method comprises measuring the amount of megakaryocytes in a sample from the subject. Usually, the sample is a blood sample. The method may also comprise measuring the number of circulating tumour cells (CTCs) in the sample, and in some embodiments a comparison of the number of megakaryocytes and CTCs in the sample. The present invention also provides methods of treatment for cancer in a patient for whom a poor prognosis is predicted using a method of prognosis of the invention.

Abstract: The present invention provides a method for determining the prognosis of cancer in a subject. The method comprises measuring the amount of megakaryocytes in a sample from the subject. Usually, the sample is a blood sample. The method may also comprise measuring the number of circulating tumour cells (CTCs) in the sample, and in some embodiments a comparison of the number of megakaryocytes and CTCs in the sample. The present invention also provides methods of treatment for cancer in a patient for whom a poor prognosis is predicted using a method of prognosis of the invention.