Abstract: Disclosed are systems, methods, and articles for determining compatibility of a mobile application and operating system on a mobile device. In some aspects, a method includes receiving one or more data values from a mobile device having a mobile medical software application installed thereon, the data value(s) characterizing a version of the software application, a version of an operating system installed on the mobile device, and one or more attributes of the mobile device; determining whether the mobile medical software application is compatible with the operating system by at least comparing the received data value(s) to one or more test values in a configuration file; and sending a message to the mobile device based on the determining, the message causing the software application to operate in one or more of a normal mode, a safe mode, and a non-operational mode.

Abstract: Three-dimensional (3D) visualization of multi-layer networks include receiving data associated with a network, wherein the network includes interconnected network elements that operate at a plurality of levels that include any of network layers and encapsulations; displaying a plurality of three-dimensional icons each represent one of a plurality of network elements of the interconnected network elements; and displaying links between the plurality of three-dimensional icons each link representing one of a network layer connection and an encapsulation connection.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: An online concierge system includes sponsored content items in an interface including different slots for displaying content items. A sponsored content item may be displayed in a single slot or in multiple adjacent slots. The online concierge system determines a content score for various sponsored content items indicating a likelihood of a user interacting with a sponsored content item and a position bias for slots in the interface indicating a likelihood of the user interacting with a slot independent of content in the slot. Position biases are different dependent on a number of slots in which a content item is displayed. The online concierge system generates a graph identifying potential placements of sponsored content items in slots by selecting content items in an order according to their content scores. Sponsored content items are positioned in slots according to a path through the graph that has the highest overall expected value.

Abstract: One or more computing devices, systems, and/or methods for message classification are provided. For example, a set of messages is clustered into a set of clusters. A cluster comprises messages with similar features (e.g., similar subject lines, message body content, sender information, recipient information, structure, user action such as reading or deleting, spam vote information, etc.). Cluster features are computed for the clusters based upon features of messages within such clusters. A first table, comprising cluster entries corresponding cluster features of clusters, and a second table, comprising message entries corresponding to clusters to which messages are assigned, are created. Message features of a message are created, using the first table and second table, based upon features of the message and cluster features of clusters to which the message is assigned. A message classifier is used to classify the message (e.g., spam, safe, a threat, etc.) based upon the message features.

Abstract: One or more computing devices, systems, and/or methods for message classification are provided. For example, a set of messages is clustered into a set of clusters. A cluster comprises messages with similar features (e.g., similar subject lines, message body content, sender information, recipient information, structure, user action such as reading or deleting, spam vote information, etc.). Cluster features are computed for the clusters based upon features of messages within such clusters. A first table, comprising cluster entries corresponding cluster features of clusters, and a second table, comprising message entries corresponding to clusters to which messages are assigned, are created. Message features of a message are created, using the first table and second table, based upon features of the message and cluster features of clusters to which the message is assigned. A message classifier is used to classify the message (e.g., spam, safe, a threat, etc.) based upon the message features.

Abstract: Example systems may include: receiving a request for allocation of a content inventory unit; receiving two or more bids for the content inventory unit, each bid being subject to a respective sharing fraction; determining one or more adjusted bids, where each adjusted bid is determined based on one of the two or more bids and the respective sharing fraction for the bid; allocating the content inventory unit to a buyer that submitted a highest bid from among the two or more bids; determining a payment from the buyer as a maximum member of a first set of prices that comprises at least one of the two or more bids; determining a payment to a seller as a maximum member of a second set of prices that includes at least one of the adjusted bids; and transmitting data reflecting the allocation of the content inventory unit to the buyer.

Abstract: The present invention comprises an irrigation/aeration method and related device utilizing the optimal substrate air pocket properties of pea gravel and sub-pavement irrigation/aeration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for allocating content. In one aspect, a method includes identifying bids for a plurality of eligible bidders that are eligible to provide a content item in response to a content item request. From among the eligible bidders, a set of passback bidders having a passback capability are identified. The passback capability provides passback bidders an option refuse to provide a content item. From among the bidders, a set of general bidders, for which the passback capability is not enabled, are identified. A bidder chain that includes a highest general bidder and passback bidders is generated. A highest bidder in the bidder chain that does not refuse to provide a content item after being identified as the winning bidder is selected as the final bidder.