Abstract: An embodiment of the present invention provides a nanocarrier in a micelle structure, a pharmaceutical composition for diagnosis of cancer, comprising the same nanocarrier, and a method for preparing the same nanocarrier. The nanocarrier is obtained by dispersing a water-in-oil nanoemulsion containing an oil phase ingredient, a surfactant, and an aqueous phase ingredient inclusive of a cancer cell fluorescence-inducing substance and a cancer cell-targeting polysaccharide in water to remove the oil phase ingredient, whereby the nanocarrier includes the aqueous phase ingredient.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.

Abstract: One embodiment of the present invention relates to a nanoemulsion and a preparation method therefor, the nanoemulsion comprising an oil component, a surfactant, and an aqueous component, wherein the aqueous component comprises a water-soluble active ingredient, a polysaccharide, and hyaluronic acid.

Abstract: One embodiment of the present invention relates to a nanoemulsion and a preparation method therefor, the nanoemulsion comprising an oil component, a surfactant, and an aqueous component, wherein the aqueous component comprises a water-soluble active ingredient, a polysaccharide, and hyaluronic acid.

Abstract: An embodiment of the present invention provides a nanocarrier in a micelle structure, a pharmaceutical composition for diagnosis of cancer, comprising the same nanocarrier, and a method for preparing the same nanocarrier. The nanocarrier is obtained by dispersing a water-in-oil nanoemulsion containing an oil phase ingredient, a surfactant, and an aqueous phase ingredient inclusive of a cancer cell fluorescence-inducing substance and a cancer cell-targeting polysaccharide in water to remove the oil phase ingredient, whereby the nanocarrier includes the aqueous phase ingredient.

Abstract: In one embodiment, a computing system may receive, from a first user device, a request to post content on an online social network. In response, the system may generate contextual information associated with the content. The system may receive a content request from a second user device. The system may determine that the content is to be presented to the second user and send instructions configured to cause the second user device to display the content with an indicator indicating that contextual information is available. Upon detecting a first interest indicator representing that the content is being viewed, the second device may be instructed to transform the indicator into a contextual highlight. Upon detecting a second interest indicator representing user interest in the available contextual information, the second device may display the contextual information.

Abstract: The disclosed computer-implemented method may include (1) sampling links from an online system, (2) receiving, from a human labeler for each of the links, a label indicating whether the human labeler considers a landing page of the link to be a low-quality webpage, (3) deriving features from a landing page of each of the links, (4) using the label and the features of each of the links to train a model configured to predict a likelihood that a link is to a low-quality webpage, (5) identifying content items that are candidates for a content feed of a user of the online system, (6) applying the model to a link of each of the content items to determine a ranking of the content items, and (7) displaying the content items in the content feed of the user based on the ranking. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The present disclosure relates to techniques for determining trustworthiness of a domain among users. The determination may be based upon trust scores provided by the users for the domain. When all users have specified a trust score for the domain, an overall trust score may be computed based upon the specified trust scores. When some users have not specified a trust score for the domain, trust scores may be computed for the users based upon the specified trust scores, and an overall trust score may be computed based upon the specified trust scores and the computed trust scores. Based on the overall trust score, a social networking system may send content to users of the social networking system.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a uniform resource locator. A time and one or more features associated with the uniform resource locator can be provided to a first machine learning model. A prediction relating to a quantity of views the uniform resource locator achieves by the time can be received from the first machine learning model.

Abstract: A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

Abstract: A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

Abstract: A display having each portion thereof equivalent to a predetermined food portion size for providing an individual with a visual reference to estimate an amount of food the individual is eating. The display includes at least one figurine having a body member with a predetermined shape. The body member includes a label for identifying a portion size that it is equivalent to. A head member, having a predetermined shape, is attached to the body member. The head member includes a label for identifying a portion size that it is equivalent to. A predetermined plurality of at least one of leg members and arm members, having a predetermined shape, are attached to the body member. Each one of the predetermined pluralities of at least one of leg members and arm members includes a label for identifying a portion size that each one is equivalent to.

Abstract: A display having each portion thereof equivalent to a predetermined food portion size for providing an individual with a visual reference to estimate an amount of food the individual is eating. The display includes at least one figurine having a body member with a predetermined shape. The body member includes a label for identifying a portion size that it is equivalent to. A head member, having a predetermined shape, is attached to the body member. The head member includes a label for identifying a portion size that it is equivalent to. A predetermined plurality of at least one of leg members and arm members, having a predetermined shape, are attached to the body member. Each one of the predetermined pluralities of at least one of leg members and arm members includes a label for identifying a portion size that each one is equivalent to.