Abstract: Methods are provided for sharing patient information by way of an online collaboration system. A requesting clinician, through an online networking system, identifies one or more clinicians with whom the requesting clinician wishes to collaborate by sending at least one patient-focused clinical data element. For the clinicians who have been identified as not being authorized to access patient-identifying data, the at least one patient-focused clinical data element is de-identified such that it no longer includes any patient-identifying data. The de-identified patient-focused clinical data element is then communicated to the clinicians not allowed access to the patient-identifying information.

Abstract: A user enters into a subscription to receive footwear having one or more specified performance characteristics. As the user finishes wearing one set of footwear, the user can obtain a replacement set of footwear that also will have one or more specified performance characteristics. The performance characteristics may be consistent for each set of footwear provided according to the subscription. Alternately, the footwear performance characteristics may vary over the life of the subscription. Thus, the footwear provider may periodically obtain biometric information describing the user's athletic activities or performance. The footwear provider then can tailor the performance characteristics of footwear provided under the subscription to match the user's athletic activities or performance.

Abstract: A pro-active mobile refueling service uses a multiple agents and targets solution to assign mobile service agents to re-fuel moving vehicles. A subscription service continually monitors the fuel consumption and fuel reserves of subscribed moving vehicles to predict when a subscribed vehicle will need fuel replenishing.

Abstract: Systems and methods for multi-resource scheduling are disclosed and described. An example apparatus includes a scheduler engine configured to enable clinical system(s) to operate with the scheduler engine in an analytical mode and an operating mode. When in the analytical mode, the scheduler engine is to dynamically calculate one or more binding constraints on the one or more clinical systems for scheduling. When in the operating mode, the scheduler engine is to manage and output a schedule for the one or more clinical systems based on the one or more binding constraints calculated in the analytical mode. The example scheduler engine is to dynamically switch between the analytical mode and the operating mode based at least in part on a probabilistic determination of delay associated with the schedule.

Abstract: A transportation company uses transportation vehicles. The transportation company receives a plurality of transportation needs. These transportation needs are received from user accounts. The transportation needs are based on states of users gathered without user intervention. Each transportation needs include time parameters and location parameters. The transportation company determines a probabilistic model for transportation needs. The probabilistic model is based on the plurality of transportation needs. The first probabilistic model relate to respective probabilities of transportation needs occurring at the locations and times of the plurality of transportation needs. The transportation company determines which transportation vehicles are currently available. The company then determines a plan which includes some of the vehicles going to some of the locations at some of the times. This plan is based on the probabilistic model.

Abstract: Techniques for determining a new industry classification for a company are described. An industry classifier can access company data of a company and profile data of an employee of the company. Additionally, a plurality of updated classifications associated with the company can be accessed from an industry taxonomy database. A featurization process can calculate a classification score for each updated classification based on the accessed data. Additionally, the featurization process can determine a new industry classification for the company based on the calculation. Subsequently, a company page updater can update a company page associated with the company by adding the new industry classification to the company page.

Abstract: In an approach to event mapping, one or more computer processors extract, from one or more social networks, data, uploaded by one or more users, corresponding to an event, where the event is nature related. The one or more computer processors extract metadata associated with the data extracted from the one or more social networks. The one or more computer processors determine, based, at least in part, on the data extracted from the one or more social networks and on the extracted metadata associated with the data extracted from the one or more social networks, a current state of the event, where the current state of the event includes at least a condition of the event relative to at least a corresponding condition of a pre-defined optimal state of the event.

Abstract: A service provider may obtain information about a plurality of items offered for acquisition by a merchant. The service provider may identify one or more items of the plurality of items that are the same as one or more respective items included in a catalog of items associated with the service provider. The items included in the catalog of items may be available for acquisition via the service provider. Additionally, the service provider may communicate with the merchant to offer services in relation to the items included in the service provider catalog of items that match the items offered by the merchant.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from online media (e.g., web sites, mobile apps and other forms of online media such as virtual or augmented reality environments) to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary online media to any other arbitrary online media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: A workload change evaluator may receive workload metrics characterizing a plurality of workloads executed within a license environment during a license period, and cost metrics characterizing license costs incurred by license environment during the license period. A baseline model generator may generate a baseline model providing a time-based contribution of each of the plurality of workloads to the license cost during the license period. A cost estimator may receive a potential workload change, and may estimate a license cost change caused by the potential workload change, based on the baseline model.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from content sources (e.g., web sites, mobile apps, in-store product pictures, etc.) to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary content sources to any other arbitrary web site, mobile app, network, Internet TV channel, and various forms of online and offline target media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: A network device includes a memory, a display, a processor, and a network communication module configured to receive vehicle data, driver information, and driver communications from a plurality of portable wireless data transfer and display device via a long-range wireless network, each portable wireless data transfer and display device being associated with a corresponding one of a plurality of vehicles. The memory configured to store the vehicle data, the driver information, and the driver communications. The processor is configured to process at least one of: the vehicle data, the driver information, and the driver communication into summary electronic reports and present the summary electronic report of the plurality of vehicles in real-time by location via the display. The network device is configured to allow for selection of the drivers presented and is configured to send work requests to wireless devices in use by the selection of the drivers presented.

Abstract: A computer method enable retail businesses to manage their customers using personal communication devices. The method assigns a customer to a tail of a first wait list when the customer is at a location remote from the store and registers through a software application on a personal communication device. The method also sends a message to the personal communication device when a length of a second wait list is shorter than a predetermined length and the customer is at a head of the first wait list and ready to be moved to a transition pool. The method also moves the customer from the transition pool to the second wait list after the customer arrives at the store, and removes the customer from the second wait list in response to an action by the store.

Abstract: Methods and systems for creating and operating a web-based resource productivity tracking application are disclosed. The resource productivity tracking application enables monitoring of resource productivity efficiency metrics by receiving inputs of productivity efficiency targets. The resource productivity tracking application further receives information tracking the resource task allocations and activity allocations for determining capacity utilization, backlogs, critical queues and throughputs.

Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the discretized historical data; and outputting, by the computer, a report of a detected experiment from the discretized historical data.

Abstract: In a remote technical support system, a technical support controller receives an indication of a maximum number of support sessions to be serviced by a remote technician. Thereafter, the technical support controller receives a service request for a user device, which service request is classified into a category and added to a preliminary queue corresponding to the category. The technical support controller determines if handling of the service request by the remote technician would cause the number of support sessions currently being handled by the remote technician to exceed the previously-indicated maximum number of support sessions. If not, the service request is added to a work queue for the remote technician and removed from the preliminary queue.

Abstract: A method and system to provide fonts for electronic publications is described. An example method includes receiving a request for an electronic publication from a user device, retrieving a font identifier of a font from the electronic publication, providing the electronic publication to the user device, determining, based on the font identifier, that at least one font file of the font is not stored on the user device, and providing the at least one font file of the font to the user device.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from online media (e.g., web sites, mobile apps and other forms of online media) to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary online media to any other arbitrary online media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: Embodiments disclosed herein can leverage dynamic data, fields and implied information from online media (e.g., web sites, mobile apps, Internet of things, bots, etc.) to create a universal variable map and automatically generate deep-linked ads utilizing the universal variable map, linking any arbitrary online media to any other arbitrary online media. The automatically generated deep-linked ads can be inserted into any ad server and served out from there in real-time. A deep-linked ad thus presented to a user can take the user from a starting page on one site or application where the ad is displayed directly to a resulting page such as a checkout page on another site or mobile application, with pertinent information already pre-populated, and action already initiated for the user.

Abstract: A method and system may automatically detect failures and schedule repairs for home equipment in a smart home environment when the property owner is away from the property. A smart home controller may receive sensor data from each of several pieces of smart home equipment to detect whether any failures have occurred. If the smart home controller detects a failure in one of the pieces of smart home equipment based on the sensor data, the smart home controller may determine that a first piece of smart home equipment needs to be repaired based on a collective analysis of first and second sets of sensor data from the first piece of smart home equipment and a second piece of smart home equipment, respectively. Then the smart home controller may provide a control signal to the first piece of smart home equipment to shut down or limit operation.