Abstract: A social networking system identifies a set of groups of which a user of the social networking system is not a member and selects a group for recommendation to the user based on a predicted affinity of the user for each identified group. The social networking system computes an affinity score of the user for each of one or more members of the selected group based at least in part on information describing a set of connections between the user and each member. Based on the scores, the social networking system selects a set of members of the group and generates a recommendation unit, wherein images associated with the selected members are arranged based on their scores and overlay at least a portion of an image associated with the group. The recommendation unit is communicated to the user to suggest that the user join the recommended group.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of posts associated with a group. One or more respective attributes can be determined for each of the posts. The posts can be categorized based at least in part on their respective attributes. One or more options for accessing the categorized posts can be provided through a page associated with the group, the page being accessible through a content provider system.

Abstract: A social networking system identifies a set of groups of which a user of the social networking system is not a member and selects a group for recommendation to the user based on a predicted affinity of the user for each identified group. The social networking system computes an affinity score of the user for each of one or more members of the selected group based at least in part on information describing a set of connections between the user and each member. Based on the scores, the social networking system selects a set of members of the group and generates a recommendation unit, wherein images associated with the selected members are arranged based on their scores and overlay at least a portion of an image associated with the group. The recommendation unit is communicated to the user to suggest that the user join the recommended group.

Abstract: Provided herein are graft co-polymers of lignin and poly(lactic acid) (lignin-g-PLA copolymer), thermoset and thermoplastic polymers including them, methods of preparing these polymers, and articles of manufacture including such polymers.

Abstract: Described herein is an adhesive formulation comprising lignin, a cross-linker, and optionally a dispersant, or obtained by mixing a composition comprising lignin, a cross-linker, and optionally a dispersant. Preferably in the adhesive formulation, at least about 50 wt. % of the composition is waste lignin, extracted lignin, or synthetic lignin; the lignin is not pre-activated, pre-fractionated, or pre-functionalized; the cross-linker is glycerol diglycidyl ether or poly(ethylene glycol)diglycidyl ether; and the dispersant is gamma-valerolactone, propylene carbonate, ethylene carbonate, or triacetin. Also described are methods for using the adhesive formulation for making plywood assemblies, lignin-fiber composites, and lignin-waste wood composites.

Abstract: Provided herein are graft co-polymers of lignin and poly(lactic acid) (lignin-g-PLA copolymer), thermoset and thermoplastic polymers including them, methods of preparing these polymers, and articles of manufacture including such polymers.