Abstract: A C-arm imaging system includes a C-arm, and a sliding support assembly. The C-arm includes a first end portion and a second end portion which are oppositely disposed. The first end portion is used to connect to the X-ray tube assembly, while the second end portion is used to connect to the detector assembly, and the X-ray tube assembly and the detector assembly are aligned. The sliding support assembly is connected to the C-arm, and the C-arm can slide relative to the sliding support assembly, wherein the C-arm rotates at a rotational angle of not less than 90 degrees relative to the sliding support assembly from a first position to the first end portion or the second end portion, the first position being a position where the line connecting the center of the detector assembly and the center of the X-ray tube assembly is in a vertical direction.

Abstract: Provided in the present application are a C-arm imaging system and a tube assembly mounting method. The C-arm imaging system includes a C-arm, a tube assembly, a detector assembly, and a rotation assembly. The C-arm includes an inner surface and an outer surface disposed opposite to each other. The tube assembly is located at a first end of the C-arm, and is mounted on the inner surface of the C-arm. The detector assembly is located at a second end of the C-arm opposite to the first end. The rotation assembly is mounted on the outer surface of the C-arm. The C-arm is movable relative to the rotation assembly, and an outer surface opposite to an inner surface on which the tube assembly is located is slidable relative to the rotation assembly.

Abstract: Provided is a drug combination of a quinoline derivative and a PD-1 monoclonal antibody, which contains a tyrosine kinase inhibitor and an immune checkpoint inhibitor, wherein the tyrosine kinase inhibitor is a compound represented by Formula I or a pharmaceutically acceptable salt thereof. The drug combination has good activity against endometrial tumors.

Abstract: A processor is configured with a learning framework to characterize the residuals of attribute information and its coherence with network information for improved anomaly detection.

Abstract: Various embodiments for systems and methods of tracking disaster footprints using social streaming media using nonnegative matrix factorization are disclosed herein. The system extracts a summarization output from historical data and compares the summarization output with incoming data to identify differing or similar topics within the data. The summarization output is projected to adjust a time-dependency of the summarization output to enable a more direct comparison. The system additionally uses the summarization output to encode topic data within historical data to reduce computational overhead.

Abstract: Systems and methods for exploiting link information in streaming feature selection, resulting in a novel unsupervised streaming feature selection framework are disclosed.

Abstract: A C-arm X-ray imaging system is provided. The C-arm X-ray imaging system includes a base, an extension arm, a first monitor coupled to the base via a first end of the extension arm, a support, and a second monitor coupled to the base via the support. The first end of the extension arm and the support are vertically aligned and configured to rotate about a common rotational axis to enable independent rotation of the first and second monitors.

Abstract: A processor is configured with a learning framework to characterize the residuals of attribute information and its coherence with network information for improved anomaly detection.

Abstract: Embodiments for systems and methods of sequential event prediction with noise-contrastive estimation for marked temporal point process are disclosed.

Abstract: A C-arm X-ray imaging system is provided. The C-arm X-ray imaging system includes a base, an extension arm, a first monitor coupled to the base via a first end of the extension arm, a support, and a second monitor coupled to the base via the support. The first end of the extension arm and the support are vertically aligned and configured to rotate about a common rotational axis to enable independent rotation of the first and second monitors.

Abstract: Systems and methods for exploiting link information in streaming feature selection, resulting in a novel unsupervised streaming feature selection framework are disclosed.