Abstract: A scan circuit is provided. The scan circuit includes a plurality of stages. A respective stage of the scan circuit includes a second processing subcircuit, which includes a first capacitor, a sixth transistor, and a seventh transistor. The respective stage of the scan circuit further includes a sixth connecting line connecting a first electrode of the seventh transistor, a second electrode of the sixth transistor, and a second capacitor electrode of the first capacitor together. The sixth connecting line crosses over both the first capacitor electrode and the second capacitor electrode of the first capacitor.

Abstract: A pixel circuit includes a light-emitting element, a driving circuit, a first light-emitting control circuit, a compensation control circuit and a resetting circuit. The resetting circuit is configured to write an initial voltage into the first electrode of the light-emitting element under the control of a first light-emitting control signal, the first light-emitting control circuit is configured to control the first electrode of the light-emitting element to be electrically connected to the first terminal of the driving circuit under the control of a second light-emitting control signal, and the compensation control circuit is configured to control the control terminal of the driving circuit to be electrically connected to the first terminal of the driving circuit under the control of a first scanning signal.

Abstract: The present disclosure provides systems and methods for improving a product conversion rate based on federated learning and blockchain. The system may in response to receiving a federated learning request sent by an initiator node, broadcast the federated learning request within a blockchain federation; in response to obtaining a response to the federated learning request from at least one node in the blockchain federation, determine at least one participant node; obtain first representation data related to first user data from the initiator node and second representation data related to second user data from the at least one participant node; determine a federated learning strategy corresponding to the federated learning request based on the first representation data and the second representation data; and coordinate the initiator node and the at least one participant node for federated learning based on the federated learning strategy to generate a trained conversion rate model.

Abstract: It is provided a joint receiver and receiving method for navigation signals located at adjacent frequencies. The joint receiving method includes: receiving a first navigation signal and a second navigation signal which are located at adjacent frequencies (S1); and calculating a frequency estimation of a virtual wideband navigation signal constructed based on the first navigation signal and the second navigation signal (S2), wherein the virtual wideband navigation signal is an asymmetric BOC-like navigation signal having a virtual carrier and a virtual sub-carrier. With the joint receiver and joint receiving method, not only power gain but also bandwidth gain can be obtained, and the ranging precision can be significantly improved.

Abstract: It is provided a joint receiver and receiving method for navigation signals located at adjacent frequencies. The joint receiving method includes: receiving a first navigation signal and a second navigation signal which are located at adjacent frequencies (S1); and calculating a frequency estimation of a virtual wideband navigation signal constructed based on the first navigation signal and the second navigation signal (S2), wherein the virtual wideband navigation signal is an asymmetric BOC-like navigation signal having a virtual carrier and a virtual sub-carrier. With the joint receiver and joint receiving method, not only power gain but also bandwidth gain can be obtained, and the ranging precision can be significantly improved.