Abstract: There is a need for more effective and efficient anomaly detection. This need can be addressed by, for example, solutions for performing/executing graph convolutional anomaly detection. In one example, a method includes identifying related graph database input data associated with a predictive entity; generating related graph feature data for the predictive entity; generating, based on the related graph feature data and using a graph convolutional neural network model, an anomaly detection score for the predictive entity, wherein at least a portion of the graph convolutional neural network model is trained using confirmation feedback data; performing an anomaly confirmation to generate the confirmation feedback data object for the predictive entity, and integrating the confirmation feedback data object for the predictive entity into the confirmation feedback data associated with the graph convolutional anomaly detection.

Abstract: The present invention relates to processes for preparing a Compound (1): or a pharmaceutically acceptable salt or solvate thereof. Compound (1) is useful as in many pharmaceutical agents, especially is useful as key intermediate in the synthesis of certain SARS-CoV-2 3CLpro inhibitors.

Abstract: An interconnection is provided for a human body implant having a polymeric articular surface member supported by a substantially rigid, metallic base plate. Reversely tapered apertures in the supporting base plate enclose portions of the unitary polymeric surface member, which portions protrude past the general interface of the surface member and base plate.