Abstract: A method and system for inspecting deviation in dynamic characteristics of a feeding system are provided, and the method includes: exciting the feeding system and detecting vibrations of a subcomponent of a component to be inspected of the feeding system to generate a monitoring excitation signal in a monitoring mode; calculating, by a modal analysis method, monitoring eigenvalues and monitoring eigenvectors of the monitoring excitation signal; determining, by a modal verification method, similarity between the monitoring eigenvalues and standard eigenvalues of a digital twin model and similarity between the monitoring eigenvectors and standard eigenvectors of the digital twin model; determining that the dynamic characteristics of the subcomponent are deviated, when the monitoring eigenvalues and monitoring eigenvectors are not similar to the standard eigenvalues and standard eigenvectors. Therefore, the subcomponent whose dynamic characteristics are deviated can be sensed remotely and precisely.

Abstract: Methods, systems, and storage media for searching for compiling digital media into a collection of digital content are disclosed. Exemplary implementations may: access digital media on a device of a user based on approval from the user to access the digital media; determine, based on the accessed digital media, at least one property for each of the digital media; select a subset of the digital media based on the at least one property; generate a collection of digital content comprising at least the subset of the digital media; apply at least one of a plurality of special effects to the collection of digital content; and cause display of the collection of digital content to the user.

Abstract: Exemplary methods, apparatuses, and systems to make suggestions regarding posts are detailed. For example, in an embodiment, a social networking system receives a user post from a first user, publishes the user post on behalf of the first user, receives and tracks interactions by other users with the user post, analyzes the received and tracked interactions to determine suggestion regarding the post, and provides the suggestion regarding the user post to the first user in a graphical user interface.

Abstract: In one embodiment, a method includes retrieving one or more previous communications associated with a first user of an online social network, each of the previous communications having been made on a date in the past, and filtering out each of one or more of the previous communications based on one or more criteria, wherein the criteria are associated with a likelihood that the filtered-out previous communication will cause an unwanted emotional reaction by the user. The method also includes calculating a distribution-probability score for each of one or more remaining previous communications, wherein the distribution-probability score reflects a probability that the previous communication will be shared on the online social network by the first user, and sending at least one remaining previous communication to a client system of the first user, wherein the distribution-probability score for the previous communication satisfies a threshold.

Abstract: In one embodiment, a method includes retrieving a previous communication associated with a user on an online social network, the previous communication having been made on a date in the past; calculating a distribution-probability score for the previous communication reflecting a probability that the previous communication will be shared on the online social network by the user; and sending the previous communication to the user, wherein the distribution-probability score for the previous communication satisfies a threshold.

Abstract: In one embodiment, a method includes retrieving a previous communication associated with a user on an online social network, the previous communication having been made on a date in the past; calculating a distribution-probability score for the previous communication reflecting a probability that the previous communication will be shared on the online social network by the user; and sending the previous communication to the user, wherein the distribution-probability score for the previous communication satisfies a threshold.

Abstract: Systems, methods, and non-transitory computer-readable media can receive a request to create a call to action for a page within a social networking system. Information associated with the page can be acquired from the social networking system. One or more options for creating the call to action for the page can be provided based on the information associated with the page.

Abstract: Exemplary methods, apparatuses, and systems for highlighting an administrator tool are describe. In some embodiments, an administrator tool highlighting engine receives a plurality of signals, at an administrator tool highlighting engine executing on a hardware processor, relating to at least one of a social networking page, behavior of an administrator of the page, and a user base of the page, determines an administrator tool to highlight based on the signals, generates a graphical user interface highlighting the administrator tool, and provides the graphical user interface to a user.

Abstract: Exemplary methods, apparatuses, and systems to make suggestions regarding posts are detailed. For example, in an embodiment, a social networking system receives a user post from a first user, publishes the user post on behalf of the first user, receives and tracks interactions by other users with the user post, analyzes the received and tracked interactions to determine suggestion regarding the post, and provides the suggestion regarding the user post to the first user in a graphical user interface.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire information associated with a user who is accessing a page within a social networking system. The page can be associated with a page entity. At least one call to action can be selected, out of a set of calls to action, based at least in part on the information associated with the user. The at least one call to action can be associated with the page entity. The at least one call to action can be presented to the user via the page within the social networking system. A user interaction performed with respect to the at least one call to action can be detected. An operation associated with the at least one call to action can be executed. The operation can correspond to one of a plurality of operations executable for the at least one call to action.

Abstract: Systems, methods, and non-transitory computer-readable media can acquire information associated with a user who is accessing a page within a social networking system. The page can be associated with a page entity. At least one call to action can be selected, out of a set of calls to action, based at least in part on the information associated with the user. The at least one call to action can be associated with the page entity. The at least one call to action can be presented to the user via the page within the social networking system. A user interaction performed with respect to the at least one call to action can be detected. An operation associated with the at least one call to action can be executed. The operation can correspond to one of a plurality of operations executable for the at least one call to action.

Abstract: A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.

Abstract: A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.