Abstract: An antibody that binds to the PD-L1 protein or CD137 protein, an antigen-binding fragment or a variant thereof, as well as a bispecific antibody that can bind to both the PD-L1 protein and the CD137 protein. The bispecific antibody has a strong ability to specifically recognize the PD-L1 protein and the CD137 protein, and can enhance T-cell activity. The antibody or the antigen-binding fragment or the variant thereof and the bispecific antibody may be used in the prevention and treatment of tumors.

Abstract: A linear vibration motor with S-shaped leaf springs includes an upper enclosure and a lower enclosure, wherein a mover assembly and a stator assembly correspondingly cooperating with the mover assembly are disposed in a space defined by the upper enclosure and the lower enclosure. The stator assembly is located below the mover assembly and is fixedly disposed on the lower enclosure. Two ends, in an X direction, of the mover assembly are elastically connected with the upper enclosure by the S-shaped leaf springs. Each S-shaped leaf spring includes elastic arms located on an upper layer and a lower layer and the elastic arms connected with the upper enclosure and a fixing part located on a middle layer and the fixing part connected with the mover assembly, the elastic arms are connected with the fixing part by first bent parts.

Abstract: A viewing user is provided with sponsored stories describes actions of a user connected to the viewing user associated with an object promoted by an advertiser or actions otherwise promoted by the advertiser. Based on a performance metric, the social networking system selects the user or action to be described by the sponsored story. For example, the social networking system ranks candidate sponsored stories describing different actions or users and selects a candidate sponsored story to increase the likelihood of a viewing user interacting with the selected candidate sponsored story.

Abstract: An advertising system may enable an advertiser to associate multiple targeting criteria bids with an advertisement. The targeting criteria bids include a bid amount and a targeting criteria defining a group of users who may be delivered the advertisement. The cost for the advertisement is the sum of the bid amounts associated with the targeting criteria that match the user profile of the viewing user.

Abstract: An advertising system may enable an advertiser to associate multiple targeting criteria bids with an advertisement. The targeting criteria bids include a bid amount and a targeting criteria defining a group of users who may be delivered the advertisement. The cost for the advertisement is the sum of the bid amounts associated with the targeting criteria that match the user profile of the viewing user.

Abstract: A social networking system may identify a first set of users as part of a training cluster and identify a second set of users that is similar to the first set of users for purposes of targeting advertisements related to the advertiser. Using past engagement history (e.g., click-through rates), demographic information, and keywords associated with the training cluster of users, a social networking system may generate a training model specific to the training cluster. Confidence scores may be used to identify similar users across the total population of users of the social networking system for creating a targeting cluster of users for the advertisement. A revenue sharing scheme may be used induce page administrators to increase their fan base by enabling advertisers to target advertisements to users that have expressed interest in pages associated with the page administrators.

Abstract: Solutions for solving a problem experienced by a user are retrieved. In response to receiving a query from the user describing the problem, relevant candidate solutions to the problem are sent to the user. In response to receiving a selection of one relevant candidate solution from the relevant candidate solutions, instructions steps within the one relevant candidate solution selected by the user are analyzed. An instruction step similarity is calculated between the instruction steps within the one relevant candidate solution selected and other instructions steps within other solutions stored in a storage device. Then, similar solutions are sent to the user containing similar instruction steps to the instruction steps contained within the one relevant candidate solution selected based on the calculated instruction step similarity.

Abstract: Solutions for solving a problem experienced by a user are retrieved. In response to receiving a query from the user describing the problem, relevant candidate solutions to the problem are sent to the user. In response to receiving a selection of one relevant candidate solution from the relevant candidate solutions, instructions steps within the one relevant candidate solution selected by the user are analyzed. An instruction step similarity is calculated between the instruction steps within the one relevant candidate solution selected and other instructions steps within other solutions stored in a storage device. Then, similar solutions are sent to the user containing similar instruction steps to the instruction steps contained within the one relevant candidate solution selected based on the calculated instruction step similarity.