Abstract: An embodiment includes an orthopedic fusion system comprising: a cage; a curved first channel coupling a lateral wall of the cage to a superior surface of the cage; a curved second channel coupling the lateral wall of the cage to an inferior surface of the cage; a third channel coupling the superior surface of the cage to the inferior surface of the cage; a curved first anchor configured to slide within the first channel; a curved second anchor configured to slide within the second channel; and a resilient member comprising a resilient first arm that projects across a portion of the first channel and a resilient second arm that projects across a portion of the second channel. Other embodiments are described herein.

Abstract: A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each media item of a plurality of media items, the server system determines a year associated with the media item. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, for content from the year associated with the media item. The server system provides the selected content to a client device associated with the user.

Abstract: A rotor assembly for an electric motor includes a rotor core and a plurality of magnets. The rotor core defines a rotation axis. Each of the magnets includes a magnet stem portion and a magnet arm portion. The magnet stem portion extends radially relative to the rotational axis to present a radially outermost stem end. The magnet arm portion is located at least in part radially outward from the stem end. In addition, the magnet arm portion extends circumferentially in opposite directions relative to the magnet stem portion.

Abstract: A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each track of a plurality of tracks, the server system determines a year associated with the track. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system provides the selected content to a client device associated with the user.

Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device receives, over a time window, an indication of user selection of the track to compile a listening history of the user and determines, based on the listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score corresponding to an average preference of the user for selecting previously unconsumed tracks. In response to determining that an amount of use of the media-providing service by the user does not satisfy a use threshold, the electronic device forgoes recommending tracks to the user based on the discovery score.

Abstract: A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each track of a plurality of tracks, the server system determines a year associated with the track. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system provides the selected content to a client device associated with the user.

Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device receives, over a time window, an indication of user selection of the track to compile a listening history of the user and determines, based on the listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score corresponding to an average preference of the user for selecting previously unconsumed tracks. In response to determining that an amount of use of the media-providing service by the user does not satisfy a use threshold, the electronic device forgoes recommending tracks to the user based on the discovery score.

Abstract: A portable safe that includes a lower shell having a sidewall surrounding a bottom wall and defining an internal cavity and includes a cover rotatably and lockably coupled to the lower shell, wherein the cover has at least one photovoltaic cell directly coupled thereto and has a top surface defining at least one solar intake aperture exposing the at least one photovoltaic cell to an ambient environment and configured to convert solar energy to energy usable by the portable safe. The lower shell or the cover defines a cable aperture for receiving a cable that is operably configured to form a loop for surrounding a structural object. The safe has a locked position with the cable longitudinally retained by at least one of the cover and the lower shell and an article loading position with a portion of the cover removed from the lower shell and exposing the internal cavity.

Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.

Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.

Abstract: A server system accesses a profile of a user of the media-providing service. The profile indicates a demographic group of the user. For each track of a plurality of tracks, the server system determines a year associated with the track. The server system selects content for the user based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system provides the selected content to a client device associated with the user.

Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.

Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system determines a year associated with the track and calculates a first metric based at least in part of an affinity of members of a demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.

Abstract: An electronic device accesses a listening history of a user of a media-providing service. For each characteristic of a set of characteristics describing tracks provided by the media-providing service, the electronic device determines, for the user, a measure of divergence indicating a degree of lack of uniformity in the listening history of the user with respect to listening contexts. The electronic device identifies a characteristic, of the set of characteristics, having a respective measure of divergence that satisfies a threshold.

Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system determines a year associated with the track and calculates a first metric based at least in part of an affinity of members of a demographic group, as compared to members of other demographic groups, of music from the year associated with the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.

Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device receives, over a time window, an indication of user selection of the track to compile a listening history of the user and determines, based on the listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score corresponding to an average preference of the user for selecting previously unconsumed tracks. In response to determining that an amount of use of the media-providing service by the user does not satisfy a use threshold, the electronic device forgoes recommending tracks to the user based on the discovery score.

Abstract: A server system accesses a listening history of a user of the media-providing service, where the user is in a demographic group. For each track of a plurality of tracks in the listening history of the user, the server system calculates a first metric based at least in part on an affinity of members of the demographic group, as compared to members of other demographic groups, for the track. The server system selects content for the user based on the first metric and provides the selected content to a client device associated with the user.

Abstract: An electronic device accesses a listening history of a user of a media-providing service, and for each characteristic of a set of characteristics describing tracks provided by the media-providing service, determines a measure of divergence with respect to listening contexts for the listening history of the user. The electronic device identifies a characteristic that has a respective measure of divergence that satisfies a threshold indicative of a lack of uniformity in the listening history with respect to the listening contexts. The electronic device determines a representative value of the identified characteristic for a listening context corresponding to a current listening context of the user. The electronic device provides personalized content to a client device of the user based on the current listening context and representative value of the identified characteristic.

Abstract: A server system divides respective groups of a plurality of groups of sessions for multiple users of the media-providing service into respective pluralities of clusters. The server system tracks user interaction with a client device during a user session and identifies the user session as belonging to a first cluster of the pluralities of clusters based at least in part on the user interaction. The server system personalizes content for the user session using one or more content criteria associated with the first cluster, in accordance with identifying that the user session belongs to the first cluster.

Abstract: An electronic device associated with a media-providing service assigns one or more characteristics of media items to at least one respective personality trait of a plurality of personality traits. The media items are provided by the media-providing service. The electronic device assigns one or more user behaviors to a first personality trait and tracks behavior of a user. The electronic device determines that a tracked behavior of the user corresponds to a first user behavior of the one or more user behaviors and assigns the first personality trait to the user based at least in part on determining that the tracked behavior of the user corresponds to the first user behavior. The electronic device provides personalized content to the user in accordance with a determination that the degree to which the tracked behavior of the user corresponds to the first user behavior satisfies a threshold.