Abstract: A fluid delivery device has a syringe barrel-type reservoir with plunger, and plunger driver assembly comprising double-acting, telescoping lead screws that is located behind and outside of the barrel. Simultaneously and counter-rotating sleeve screw and center screw telescope out of a nested configuration of the plunger driver assembly and into the reservoir at a rate of double their individual and equal pitch and lead parameters when the sleeve screw is rotated. A threaded nut and gear anchor disposed on an end of the barrel receive the sleeve screw and the threaded nut causes the sleeve screw to translate and rotate in response to motor operation. A distal end of the center screw can be keyed to a plunger pusher for anti-rotation constraint when the motor is imparting rotation on the threaded nut and sleeve screw.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Disclosed is a medication delivery system comprising: a container for a medium: a plunger disposed in the container; and a lead screw axially fixed with respect to the container and in threaded engagement with the plunger, where the lead screw is disposed inside of the container, and the rotation of the lead screw causes axial displacement of the plunger with respect to the container. A patch pump comprising the medication delivery system and a medicament delivery device comprising the medication delivery system are also disclosed.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to receive a set of images associated with a candidate, wherein each image is a visual work created by the candidate, and process the set of images using one or more machine learning techniques, artificial intelligence techniques, or both, to add the set of images to a search index.

Abstract: Systems and methods are provided for receiving a request to generate a media overlay corresponding to a home of a first user, and for generating the media overlay corresponding to the home of the first user using media content received in the request. The systems and methods further provide for associating, with the media overlay, a location of the home of the first user and a selection of users to grant permission to access the media overlay corresponding to the home of the first user. The systems and methods further provide for determining whether a second user and a location corresponding to the second computing device trigger access to the media overlay and providing the media overlay to the second computing device, based on determining that the second user and location corresponding to the second computing device trigger access to the media overlay.

Abstract: Systems and methods are provided for receiving a request to generate a media overlay corresponding to a home of a first user, and for generating the media overlay corresponding to the home of the first user using media content received in the request. The systems and methods further provide for associating, with the media overlay, a location of the home of the first user and a selection of users to grant permission to access the media overlay corresponding to the home of the first user. The systems and methods further provide for determining whether a second user and a location corresponding to the second computing device trigger access to the media overlay and providing the media overlay to the second computing device, based on determining that the second user and location corresponding to the second computing device trigger access to the media overlay.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Various aspects and embodiments of dwelling automation administration are described. Among other aspects or features of the embodiments, a dwelling automation system in a computing device authenticates a user. A management interface in the dwelling automation system generates a user interface for administering a plurality of automation devices at different dwellings based on access and control rights of the user. The user interface can grant the user access to at least one automation device associated with a hub associated with at least one dwelling.

Abstract: A system and method of operation of a computing system comprising: receiving a current location; determining a travel path based on the current location; determining a directionality along the travel path while in a free drive navigation mode; predicting a connectivity area based on the directionality; generating map information for a connectivity segment in the connectivity area with a low connectivity; and communicating the map information for storing onto a device for displaying when the connectivity segment is at a surrounding geographic adjacent area relative to the current location and while in the free drive navigation mode.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.

Abstract: Systems and methods are provided for receiving a request to generate a media overlay corresponding to a home of a first user, and for generating the media overlay corresponding to the home of the first user using media content received in the request. The systems and methods further provide for associating, with the media overlay, a location of the home of the first user and a selection of users to grant permission to access the media overlay corresponding to the home of the first user. The systems and methods further provide for determining whether a second user and a location corresponding to the second computing device trigger access to the media overlay and providing the media overlay to the second computing device, based on determining that the second user and location corresponding to the second computing device trigger access to the media overlay.

Abstract: Systems and methods are provided for receiving a request to generate a media overlay corresponding to a home of a first user, and for generating the media overlay corresponding to the home of the first user using media content received in the request. The systems and methods further provide for associating, with the media overlay, a location of the home of the first user and a selection of users to grant permission to access the media overlay corresponding to the home of the first user. The systems and methods further provide for determining whether a second user and a location corresponding to the second computing device trigger access to the media overlay and providing the media overlay to the second computing device, based on determining that the second user and location corresponding to the second computing device trigger access to the media overlay.

Abstract: Systems and methods to determine the status of transmitted audio packets. The audio packets can include digital components that are presented by a client computing device. Based on presentation variables and determinations of presentation status, the system can generate a predictive model that can be used to dynamically determines presentation values of audio packets prior to their transmission to a client computing device.

Abstract: Utilizing social information for recommending an application includes providing an application recommendation system based on social characterizations, and responsive to a user searching for an application meeting a criteria, utilizing the application recommendation system by searching for applications meeting the criteria, characterizing the applications according to a social proximity factor to the user, and presenting the applications ordered by the social proximity factor.

Abstract: Various aspects and embodiments of dwelling automation administration are described. Among other aspects or features of the embodiments, a dwelling automation system in a computing device authenticates a user. A management interface in the dwelling automation system generates a user interface for administering a plurality of automation devices at different dwellings based on access and control rights of the user. The user interface can grant the user access to at least one automation device associated with a hub associated with at least one dwelling.

Abstract: A recommendation engine for works of literature uses patterns of flow and element similarities for scoring a first user-rated work of literature against one or more recommendation candidate works of literature. Cluster models are created using meta-data modeling the works of literature, the meta-data having literary element categories and instances within each category. Each instance is described by an index value (position in the literature) and significance value (e.g. weight or significance). Cluster finding process(es) invoked for each instance in each category find Similarity Concept clusters and Consistency Trend clusters, which are recorded into the cluster models representing each work of literature. The cluster model can be printed or displayed so that a user can visually understand the ebb and flow of each literary element in the literature, and may be digitally compared to other cluster models of other works of literature for potential recommendation to a user.

Abstract: A recommendation engine for works of literature uses patterns of flow and element similarities for scoring a first user-rated work of literature against one or more recommendation candidate works of literature. Cluster models are created using meta-data modeling the works of literature, the meta-data having literary element categories and instances within each category. Each instance is described by an index value (position in the literature) and significance value (e.g. weight or significance). Cluster finding process(es) invoked for each instance in each category find Similarity Concept clusters and Consistency Trend clusters, which are recorded into the cluster models representing each work of literature. The cluster model can be printed or displayed so that a user can visually understand the ebb and flow of each literary element in the literature, and may be digitally compared to other cluster models of other works of literature for potential recommendation to a user.

Abstract: Various aspects and embodiments of dwelling automation administration are described. Among other aspects or features of the embodiments, a dwelling automation system in a computing device authenticates a user. A management interface in the dwelling automation system generates a user interface for administering a plurality of automation devices at different dwellings based on access and control rights of the user. The user interface can grant the user access to at least one automation device associated with a hub associated with at least one dwelling.

Abstract: A visualization of literary elements of a work of literature, such as a novel or short story, is generated from meta-data records representing a digital work of literature including literary elements (humor, drama, adventure, etc.), characters, and plot devices related to a position within the work of literature where each appears. A significance level is determined for each of the elements, characters and plot devices at each position within the work of literature, and these are plotted into a sequential graph having position (e.g. timeline) axis and a significance level axis. The sequential graph is then output for printing or display. Human-generated and machine-generated meta-data may be ingested equally well by the method. Colors, line thickness, and a broken line patterns may be employed for greater visual meaning. And, the sequential graph may be annotated according to segments (e.g. chapters, sections) and dominant genre within each segment.