Abstract: Systems and methods of the present disclosure enable the prediction of activity distribution across mediums of activities by employing processors that receive an activity record history across channels of mediums of activity. A candidate activity channel profile of a future activity channel is received that includes candidate channel attributes including: a medium attribute identifying the medium, and an activity category attribute identifying a category of activities of the future activity channel. Cannibalization forecasting models are used to predict channel metrics based on the candidate channel attributes and model parameters trained on the activity record history. New candidate channel attributes are automatically generated that improve the at least one channel metric based on the at least one channel metric, and a new candidate activity channel profile is automatically modified using the new candidate channel attributes. The channel metrics are displayed on computing devices associated with users.

Abstract: Systems and methods of improving the operation of a transaction network and transaction network devices are disclosed. An online purchase autofill plugin includes various modules and engines. The fields of online forms may be identified and the fields of online forms may be automatically filled. The user experience may be improved, and data security enhanced so that the transaction network more properly functions according to approved parameters, such as protecting the integrity of sensitive data.

Abstract: Methods and apparatus for facilitating video search are disclosed. An example apparatus includes one or more processors to execute instructions to process first metadata associated with video to identify the video as corresponding to an episode of a television show, the video made available by a first device. The example one or more processors are to update a database to include first information concerning the episode of the television show based on the first metadata and access second metadata associated with the video, the second metadata collected from a second device. Additionally, the example one or more processors are to process the second metadata to determine second information about the episode of the television show and augment the database with the second information about the episode of the television show.

Abstract: The present disclosure relates to an improved sieve tray assembly for a liquid-liquid treating column. The tray is a modular design with inlet and outlet downcomer assemblies that are mounted flush to or raised above the sieve deck upper surface. The raised downcomer assemblies provide increased surface area for light liquid upflow perforations and enhanced liquid-liquid contacting capacity and efficiency.

Abstract: A method is disclosed. A computer may receive a request message from an access device. The computer may search a supplemental database for updated supplemental data corresponding to a real credential. The supplemental database may store the real credential, supplemental data, and the updated supplemental data. The updated supplemental data may be provided to the supplemental database in connection with authorization processing involving the real credential. The computer may receive the updated supplemental data associated with the real credential. The computer may transmit a response message to the access device including the updated supplemental data. The request message may be, as examples, an authorization request message comprising a token or a token request message comprising a token.

Abstract: A downhole device for applying and regulating pressure to a hydraulic device. The downhole device includes a relief check valve, a pressure transfer check valve, a hydraulic chamber, an output port, and a fluid separator. Pressure from the hydraulic chamber is applied to the hydraulic device to actuate the hydraulic device.

Abstract: Systems and methods are described to facilitate an efficient on-boarding experience for users joining a financial institution, while maintaining the integrity of certain operations to determine whether the users are eligible for certain financial products based on the personal information of the users. For instance, a first server may perform an approval process by receiving a request to verify an identity of the user using a digital identity service, sending to a second server a request to obtain one or more categories of personal information about the user, receiving personal information associated with the one or more categories selected by or authorized by the user, determining, based on at least some of the received personal information, that the user is approved for a payment card, and sending information associated with the payment card to a mobile device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, to provide digital identification. One of these methods includes receiving a request for a digital document from a digital wallet executing on a mobile device. The method includes identifying a digital document provider capable of providing the requested document. The method includes sending the request for the digital document to the identified digital document provider. The method includes receiving, from the digital document provider, information that enables the mobile device to view the digital document and does not enable the computer system to view the digital document.

Abstract: The method includes defining a duct within a capillary medium, first forming an air impingement structure, the air impingement structure including electrically conductive filaments, and connecting a first surface of the capillary medium to a second surface of the air impingement structure to form an assembly, a first end of the duct abutting the second surface, at least one first portion of the air impingement structure extending into the first surface.

Abstract: Methods and systems are described herein for generating dynamic conversational responses. For example, dynamic conversational responses may facilitate an interactive exchange with users. Therefore, the methods and systems used specialized methods to enriched data that may be indicative of a user's intent prior to processing that data through the machine learning model, as well as a specialized architecture for the machine learning models that take advantage of the user interface format.

Abstract: In some embodiments, a plurality of devices may be respectively mapped to a plurality of interaction types. Statistical models may be generated, where the statistical models are indicative of relationships between aggregated interaction data related to the interaction types and aggregated resource utilization data related to the devices. With respect to each interaction type of the interaction types, the statistical models may be scored based on strength of one or more of the relationships. A subset of the statistical models may be selected based on the scoring for the interaction types. As an example, a first statistical model is included in the subset based on the scoring related to a first interaction type and a second statistical model is included in the subset based on the scoring related to a second interaction type different from the first interaction type. One or more of the devices may be remapped to one or more interaction types based on the selected subset of the statistical models.

Abstract: A method or system for generating recommendations based on detected correlations of static and dynamic data. For example, the system generates feature inputs for the machine learning model that is based on labeled static data as well as dynamic data indicating current usage. Notably, the dynamic data is not retrieved from a data store of known training data, but instead is streamed in real time from active databases accessible to the network. Furthermore, the system provides a formatting mechanism that translates user selected requirements and parameters from a human-readable format indicating particular attributes of a database to optimize (e.g., database performance, security, compliance, capacity planning, etc.) into data that may be included in a machine learning feature input that specifies which correlations to use (e.g., server operational statistics data, server log data, monitoring metrics, etc.).

Abstract: A container includes a rigid outer box and a rigid inner box wherein a pull tab is configured to reseal a pre-cut opening in the inner box. The pull tab includes a cover layer larger than the pre-cut opening. The cover layer can be a piece of bundle wrap with a paper layer of the bundle wrap contacting the consumer goods inside the box. The outer box has a hinged lid permanently attached to a connecting tab of the pull tab whereby opening the hinged lid simultaneously opens the pre-cut opening in the inner box by lifting the pull tab. The connecting tab includes adhesive which is partially deadened to decrease adhesion of the connecting tab to the inner box. The pull tab can also include one or more machine readable markings to enhance automated application of the pull tab to an inner box blank during manufacturing of the container.

Abstract: Provided is an inner string, an outer string, and a well system. The outer string, in one aspect, includes an outer tubular configured to extend at least partially around an inner tubular, the outer tubular including a seal surface. The outer string, according to one aspect, further includes two radial orientation slots located along an inside surface of the outer tubular, the two radial orientation slots offset from one another by a distance (d1), the two radial orientation slots configured to align with an orientation port in the inner tubular that it is configured to engage with to provide two pressure readings indicative of a relative location of the inner tubular to the outer tubular.

Abstract: An apparatus is provided for detecting duplicate travel. The apparatus may include at least one memory and at least one processor configured to detect a travel path of a vehicle based in part on received items of location data. The processor is also configured to determine whether the travel path is associated with a defined street segment including a plurality of location points corresponding to a street. The processor is further configured to determine whether the vehicle travels the street multiple times in a predefined time period. The processor is further configured to superimpose visible indicia on the defined street segment in response to detecting that the vehicle traveled the street multiple times during the predefined time period. Corresponding computer program products and methods are also provided.

Abstract: A multi-plunger coordinated gas lift liquid drainage system and liquid drainage method thereof, the system operates in a reciprocating manner. A large-section liquid column and a gas column within a tubing is divided into multiple units of liquid columns, plungers and gas columns by a plurality of plungers; the units form a series connection, and the plungers in the tubing move up and down respectively to transfer the liquid load cooperatively. A liquid is drained from a wellbore step by step, and the pressure formed by a small section of liquid column disappears each time a small section of liquid column is drained. The pressure of each stage of gas column thereunder is reduced, and the gas columns are expanded step by step.

Abstract: Invert emulsions can be used in oil and gas operations. A fluid loss control additive (FLCA) is a component of the fluid that can be utilized to control or minimize fluid loss into a subterranean formation. The FLCA can be a chemically modified vegetable oil that is biodegradable. Vegetable oils having some or all of the functional groups sulfonated can be used as FLCA. A water-soluble salt that has been dissolved in the discontinuous phase of the invert emulsion can combine with the FLCA to form a wax-like, solid mass.

Abstract: A set of queries from an application executing on a client computing device is obtained. A first database based on the set of queries is searched to select a set of event types. A set of predicted parameters associated with the set of event types is sent to the application. The application includes instructions to obtain a first parameter and the set of predicted parameters via a user interface of the application and generate a message comprising the first parameter and an indicator identifying the set of predicted parameters. The first parameter and the indicator are obtained via the second message. A combined query including the first parameter and the set of predicted parameters is generated in response to obtaining the indicator. A vehicle record from the vehicle database is obtained based on the combined query. Values of the vehicle record are sent to the client computing device.

Abstract: Generally, embodiments of the present invention provide systems and methods that can identify the location of a consignee's vehicle and deliver an item to the location of the vehicle.

Abstract: An intelligent voice assistant privacy regulating system may include a controller including: a device processor; and a non-transitory computer readable medium including instructions executable by the device processor to perform the following steps: receiving a selection from a user as to one or more privacy settings limiting the transmission of data from an intelligent voice assistant; and regulating transmissions from the intelligent voice assistant based on the selection.