Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for transition-coded media, measuring engagement of transition-coded media, and distribution of components of transition-coded media. For instance, the method may include: obtaining a media file; determining whether the media file includes transition-coded media; in response to determining the media file includes the transition-coded media, setting up a dynamic media environment; detecting whether a user is interacting with the transition-coded media; and in response to detecting the user is interacting with the transition-coded media, executing the transition-coded media with the dynamic media environment.

Abstract: Disclosed herein are systems and methods that may generate so-called “honey credentials” that are transmitted to a “phishing” website, and are then stored into a honey credential database. The honey credentials appear to be valid credentials, but whenever a bad actor attempts to access an enterprise using the honey credentials, security appliances the enterprise may update the records of the honey credential database to include one or more unique identifiers for each bad actor device that attempts to access the enterprise network using the honey credentials. A server may automatically query the honey credential database to identify other accounts that have been accessed by devices that used the honey credentials to access the enterprise. The server may then flag the accounts and restrict their functionality.

Abstract: A computer-implemented method includes receiving an authentication request from an external device for authenticating an application on the external device, and receiving a plurality of information items in connection with the authentication request from a plurality of different externally residing information sources. The authentication request is then evaluated, which includes evaluating each of the plurality of information items, to determine an authentication status of the application. Based on the authentication status, the device is then selectively permitted access to private information through the application. A computer system and/or machine-readable media may be provided to perform some or all steps of the method.

Abstract: A method may include: providing a browser extension to user devices that is configured to: monitor data associated with website pages visited by the user devices; and in response to detecting that data associated with a website page is indicative of a presence of a platform, transmit a notification to an entity system, the notification including an identification of the website page and an identification of the platform; and in response to receiving the notification: generating and/or updating a database indicative of operation of the platform on one or more website pages based on the identification of the website page and the identification of the platform; quantifying a number of website pages on which the platform is operated based on the database; and determining a level of traffic to the website page.

Abstract: A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

Abstract: A nicotine lozenge includes a body that is partially or wholly receivable in an oral cavity. The body includes a soluble-fiber matrix and nicotine or a derivative thereof dispersed in the soluble-fiber matrix. A nicotine lozenge may include at least 40 weight percent of soluble fiber. Soluble fiber in a nicotine lozenge may include maltodextrin. The nicotine lozenge is adapted to release the nicotine or a derivative thereof from the body when the body is received within the oral cavity of an adult consumer and exposed to saliva. A method of making nicotine lozenges includes forming a molten mixture of at least 40 weight percent soluble fiber, nicotine, and less than 15 weight percent water while maintaining a mixture temperature of less than 150° C. and portioning the molten mixture into a plurality of nicotine lozenges. The ingredients can be mixed to form the molten mixture in an extruder.

Abstract: In some implementations, a device may process an image to identify one or more first lines of the image that extend in a first dimension. The device may process the image to identify one or more second lines of the image that extend in a second dimension orthogonal to the first dimension. The device may identify portions of the one or more first lines that do not intersect with the one or more second lines. The device may process the image to obtain a version of the image in which the portions of the one or more first lines are removed.

Abstract: Disclosed are devices and methods for delivering a sheet of tissue into the eye in such a way that damage to the tissue is minimized, damage to the eye during insertion and manipulation of the tissue is minimized, and the tissue is released and delivered in a precise and controlled fashion.

Abstract: The present invention provides methods of determining a survival predictor score of a subject having mantle cell lymphoma (MCL). The present invention also provides methods of predicting the survival outcome of a subject having MCL and provides methods of selecting a treatment for a subject having MCL.

Abstract: A device obtains image data associated with a document. Using a first machine learning model, the device determines, for the document, a first classification of one of a plurality of document types and a first confidence score associated with the first classification, and a second classification of one of the plurality of document types and a second confidence score associated with the second classification based on the image data. The device determines a difference between the first confidence score and the second confidence score, compares the difference and a threshold value, and accept the first classification of the document when the difference satisfies the threshold value.

Abstract: Disclosed herein are various embodiments for a vehicle listing generation and optimization system. An embodiment operates by receiving a request to generate a vehicle listing to sell a vehicle on a website. A plurality of vehicle listings similar to the vehicle associated with the request are determined, the plurality of vehicle listings including a plurality of features providing information about a respective vehicle featured in the vehicle listing and a sales time metric specifying a time it took to sell the respective vehicle featured in a respective vehicle listing. Clustering is performed on the set of vehicle listings based on the sales time metrics, and a first cluster is selected. It is identified which of the plurality of features are common amongst at least a subset of the vehicle listings of the selected cluster. A user interface of a sales template for the vehicle associated with the request is generated.

Abstract: A management system for managing the utilization of item receptacles in a distribution network. Items can be transferred to recipients at a limited number of item receptacles in unit delivery facilities of the distribution network. Item retrieval behavior is tracked to determine a recipient score for known recipients. Based on the recipient scores, subsequent items to be transferred can be placed in a receptacle or a storage area based on the associated recipient score. Placement in receptacles can be prioritized to recipients with low scores indicating that the item will likely be retrieved quickly, while items addressed to recipients with high scores may not be placed into a receptacle if receptacles are scarce.

Abstract: A system and method for recording healthcare information of an individual under care without deleting data, includes a device for capturing person centered data and transmitting an identification signal, a memory for storing device rules, a buffer, a database; and a processor. The processor receives the signal and data, and retrieves the rules from the memory. Based on the rules, the processor determines whether the data is to be stored in the database or the buffer, and based on the data content, it determines the device location, the data recordation time, whether the individual is identified, and the individual's activity, and based on the rules and the location, time, individual identification, and activity, it determines whether the data is to be stored in the database or eliminated from the buffer. The person-centered data may include goal, outcome, medication error data, non-person centered public data, or protected health information (PHI).

Abstract: A computer-implemented method of generating and processing electronic forms may include: generating and storing a plurality of prompts; receiving a first form request from a first user device; generating a first form including a first set of prompt instances; causing the first form to be displayed on the first user device; receiving a first set of user inputs, each of the first set of user inputs being associated with one or more of the first set of prompt instances; and storing the first set of prompt instances and the first set of user inputs while maintaining the plurality of prompts.

Abstract: Various embodiments are generally directed to a dynamic, flexible acronym decoder. A user may submit a query via one of a plurality of user interfaces. Information describing the user may be received to generate a context vector for the user. The query may be processed against a database of terms using the context vector, a machine learning model, and content tags applied to terms in the database. Processing the queries against the database may return a result set, and the ML model may be used to compute a score for each result. The results may be ordered based on the scores and returned as responsive to the query.

Abstract: A hydraulic fracturing system includes one or more battery trailers having one or more batteries for providing operational energy to one or more connected components. The system also includes a switchgear system and fracturing equipment to receive operational energy from the one or more batteries of the one or more battery trailers to perform one or more fracturing actions.

Abstract: Embodiments of the invention are directed to enabling access transaction systems to accept different communication protocols. In some embodiment, an access device receives, from a portable device, an indication that a transaction is to be performed by exchanging transaction information between the portable device and a remote computer, wherein the remote computer is configured to communicate using a first communication protocol. Next, the access device determines that the portable device is configured to communicate using a second communication protocol. The access device then converts communications between the portable device and the remote computer from the second communication protocol to the first communication protocol to assist the portable device and the remote computer in exchanging the transaction information.

Abstract: Systems and methods for formatting data are disclosed. For example, a system may include at least one memory storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving data comprising a plurality of sequences of data values and training a recurrent neural network model to output conditional probabilities of subsequent data values based on preceding data values in the data value sequences. The operations may include generating conditional probabilities using the trained recurrent neural network model and the received data. The operations may include determining a data format of a subset of the data value sequences, based on the generated conditional probabilities, and reformatting at least one of the data value sequences according to the determined data format.