Abstract: Provided is a lubricating oil composition that includes a major amount of a lubricant base oil and a minor amount of a viscosity index improver comprising a syndiotactic propylene-based ethylene-propylene copolymer comprising: a) 2 to 20% by weight of ethylene, b) 80 to 98% by weight of propylene; c) 50 to 99% of rr triads; and d) Mw (LS) of 10 to 250 kg/mol.

Abstract: A class of lactam-modified polypeptide compounds and the use thereof in the preparation of a drug for treating related diseases.

Abstract: A method for image transformation including receiving, from an electronic device, an input image having represented therein an object having a predefined region with a selected characteristic, extracting, from the input image, an isolated image corresponding to the predefined region, inputting the isolated image into a baseline generator, trained by an offline unbalanced neural network, that generates a new image that represents a modification to the predefined region in which the selected characteristic is replaced with a baseline characteristic, and generating an output image that reflects a modification of the input image to include a representation of the new image.

Abstract: The present disclosure relates to an asymmetric font pairing system that efficiently pairs digital fonts. For example, in one or more embodiments, the asymmetric font pairing system automatically identifies and provides users with visually aesthetic font pairs for use in different sections of an electronic document. In particular, the asymmetric font pairing system learns visually aesthetic font pairs using joint symmetric and asymmetric compatibility metric learning. In addition, the asymmetric font pairing system provides compact compatibility spaces (e.g., a symmetric compatibility space and an asymmetric compatibility space) to computing devices (e.g., client devices and server devices), which enable the computing devices to quickly and efficiently provide font pairs to users.

Abstract: The present disclosure relates to an asymmetric font pairing system that efficiently pairs digital fonts. For example, in one or more embodiments, the asymmetric font pairing system automatically identifies and provides users with visually aesthetic font pairs for use in different sections of an electronic document. In particular, the asymmetric font pairing system learns visually aesthetic font pairs using joint symmetric and asymmetric compatibility metric learning. In addition, the asymmetric font pairing system provides compact compatibility spaces (e.g., a symmetric compatibility space and an asymmetric compatibility space) to computing devices (e.g., client devices and server devices), which enable the computing devices to quickly and efficiently provide font pairs to users.