Abstract: A highly glycosylated human blood-clotting factor VIII (FVIII) fusion protein, and a manufacturing method and application of same. The fusion protein comprises, from the N-terminus to the C-terminus, a human (FVIII), a flexible peptide connector, at least one rigid unit of a human chorionic gonadotropin ?-subunit carboxyl terminal peptide, and a half-life extending portion (preferentially selected from a human IgG Fc variant). The fusion protein has a similar level of biological activity as a recombinant (FVIII) and an extended in vivo half-life, thereby improving pharmacokinetics and drug efficacy.

Abstract: In various examples, reinforcement learning is used to train at least one machine learning model (MLM) to control a vehicle by leveraging a deep neural network (DNN) trained on real-world data by using imitation learning to predict movements of one or more actors to define a world model. The DNN may be trained from real-world data to predict attributes of actors, such as locations and/or movements, from input attributes. The predictions may define states of the environment in a simulator, and one or more attributes of one or more actors input into the DNN may be modified or controlled by the simulator to simulate conditions that may otherwise be unfeasible. The MLM(s) may leverage predictions made by the DNN to predict one or more actions for the vehicle.

Abstract: A highly glycosylated human blood-clotting factor VIII (FVIII) fusion protein, and a manufacturing method and application of same. The fusion protein comprises, from the N-terminus to the C-terminus, a human (FVIII), a flexible peptide connector, at least one rigid unit of a human chorionic gonadotropin ?-subunit carboxyl terminal peptide, and a half-life extending portion (preferentially selected from a human IgG Fc variant). The fusion protein has a similar level of biological activity as a recombinant (FVIII) and an extended in vivo half-life, thereby improving pharmacokinetics and drug efficacy.