Abstract: A power supply unit supplies power to a load, and the power supply unit includes a power factor corrector, a DC conversion module, and an isolated conversion module. The power factor corrector is plugged into a first main circuit board and converts an AC power into a DC power. The DC conversion module is plugged into the first main circuit board and converts the DC power into a main power. The isolated conversion module includes a bus capacitor, the bus capacitor is coupled to the DC conversion module through a first power copper bar, and coupled to the power factor corrector through a second power copper bar. The first power copper bar and the second power copper bar are arranged on a side opposite to the first main circuit board, and are arranged in parallel with the first main circuit board.

Abstract: Provided is a pharmaceutical composition including gastrodin and a use thereof for the prevention or the treatment of amyotrophic lateral sclerosis. The pharmaceutical composition is effective in reducing neuronal axon degeneration and neurofibromin accumulation, improving symptoms of amyotrophic lateral sclerosis and extending life of patients of amyotrophic lateral sclerosis.

Abstract: A method for detecting a three-dimensional object in a two-dimensional image includes: inputting the two-dimensional image into an object detection model, and obtaining a resulting detection depth dataset; obtaining, based on the detection depth dataset, coordinate sets of a number of points-of-interest each associated with a to-be-detected object in a 3D camera centered coordinate system; and converting the coordinate sets of the number of points-of-interest in the 3D camera centered coordinate system into a number of coordinate sets in a 3D global coordinate system. Embodiments of this disclosure may be utilized in the field of self-driving cars with roadside traffic cameras.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; determining the booths in the all of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; identifying shared ones of the selected records; determining the booths in the shared ones of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; determining the booths in the all of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting several of the records according to the determined similarity level; identifying shared ones of the selected records; determining the booths in the shared ones of the selected records not yet visited by the user; adding the determined booths to a candidate list; and presenting at least one of the booths in the candidate list to the user.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting one of the records according to the determined similarity level; determining the booths in the selected record not yet visited by the user; obtaining the user's current location in the exhibition; determining a target booth, from the booths not yet visited by the user, by referring to the current location and a map database; and sending to the user a message indicative of the target booth.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user, comprising the following steps: accessing a user record, wherein the user record includes data indicative of booths which a user corresponding to the user record has visited in an exhibition; determining similarity level between records in a history database and the user record, the records in the history database including data indicative of the booths visited by previous visitors in the exhibition; selecting one of the records according to the determined similarity level; determining the booths in the selected record not yet visited by the user; obtaining the user's current location in the exhibition; determining a target booth, from the booths not yet visited by the user, by referring to the current location and a map database; and sending to the user a message indicative of the target booth.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user. The method includes: accessing a map database of an exhibition; accessing a history database that stores a plurality of records indicative of booths visited by a previous visitor in the exhibition; accessing a user record that includes data indicative of the booths which the user has visited; determining similarity level between each record in the history database and the user record, selecting one of the records according to the determined similarity level so as for the selected record to function as a reference record, usable to determine the booths not yet visited by the user; obtaining the user's current location in the exhibition, and determining a target booth, from the booths not yet visited by the user, by referring to the current location and the map database; and sending to the user a message indicative of the target booth.

Abstract: Disclosed is a computer-implemented method for recommending booths-to-visit to a user. The method includes: accessing a map database of an exhibition; accessing a history database that stores a plurality of records indicative of booths visited by a previous visitor in the exhibition; accessing a user record that includes data indicative of the booths which the user has visited; determining similarity level between each record in the history database and the user record, selecting one of the records according to the determined similarity level so as for the selected record to function as a reference record, usable to determine the booths not yet visited by the user; obtaining the user's current location in the exhibition, and determining a target booth, from the booths not yet visited by the user, by referring to the current location and the map database; and sending to the user a message indicative of the target booth.

Abstract: An automatic replenishing mechanism for a pet drinking fountain is a container having a water injection element, a float, a linkage set, and a sealing plug. The water injection element, connected to the container, has a water inlet and a base. The float, connected by a link bar to the base, is located underneath the water inlet and limited by a guiding portion to float longitudinally. The sealing plug is mounted on the link bar near the water inlet. When water level rises to elevate the float, the link bar rotates to push the sealing plug. When the float floats to a predetermined level, the sealing plug blocks the water inlet to stop water supply. When a pet drinks water and the water level drops, the float sinks from the predetermined level. The link bar rotates to retreat the sealing plug from the water inlet, thereby automatically replenishing water.

Abstract: An automatic replenishing mechanism for a pet drinking fountain is a container having a water injection element, a float, a linkage set, and a sealing plug. The water injection element, connected to the container, has a water inlet and a base. The float, connected by a link bar to the base, is located underneath the water inlet and limited by a guiding portion to float longitudinally. The sealing plug is mounted on the link bar near the water inlet. When water level rises to elevate the float, the link bar rotates to push the sealing plug. When the float floats to a predetermined level, the sealing plug blocks the water inlet to stop water supply. When a pet drinks water and the water level drops, the float sinks from the predetermined level. The link bar rotates to retreat the sealing plug from the water inlet, thereby automatically replenishing water.