Abstract: In some embodiments, one or more user interfaces for facilitating personal payment transactions may be provided. In some embodiments, one or more first interfaces may be generated for a payer to effectuate a personal payment transaction. A location of a user device associated with the payer may be obtained. Based on the obtained location of the user device, one or more suggested payees for presentation on the first interfaces may be provided. An indication of a selected payee (from the suggested payees) may be obtained from the payer via the first interfaces. Options to fund a personal payment to the selected payee may be provided for presentation on the first interfaces. One or more options for routing the personal payment associated with the personal payment transaction may be provided to the payer via the first interfaces.

Abstract: A computer-implemented method includes, receiving, with at least one processor, payment transaction data, extracting, using the at least one processor, catastrophic event data from a network, generating, with the at least one processor, a catastrophic event score based on the payment transaction data and the catastrophic event data, and adjusting financial fraud rules used to decline or approve financial transactions. The financial fraud rules may be adjusted by adding a catastrophic event threshold to the financial fraud rules that utilize the catastrophic event score to determine whether a financial transaction is fraudulent.

Abstract: All the model-driven systems may not have capability to perform designing and execution of experiments, which limits functionality of such model-driven systems. The disclosure herein generally relates to Design of Experiments (DOE), and, more particularly, to a model driven sub-system for design and execution of experiments. The sub-system when plugged into the model driven system, uses legacy components as well components of the sub-system to perform designing and execution of the design of experiments.

Abstract: This disclosure relates generally to method and system for predicting batch processes. Conventional batch schedulers provide a single point of control for defining and monitoring background executions in a distributed network. The method of the present disclosure obtains a set of batch jobs from one or more users to generate a set of batch graphs by deriving a metadata. Further, a set of batch models is generated for the set of batch graphs. The set of batch models includes at least one of a forecasting model, a job-job regression model, and a job-workload regression model. Further, a batch job schedule is generated for the set of batch graphs to predict a revised batch job schedule with a real time feed and the set of batch models. Additionally, a proactive notification is sent to each user alarming one or more unexpected delays indicating the revised batch job schedule.

Abstract: A system includes a processor and a non-transitory computer readable medium coupled to the processor. The non-transitory computer readable medium includes code, that when executed by the processor, causes the processor to receive input from a user of a user device to generate an optimal payment location on an application display, generate a first boundary of the optimal payment location on the application display of the user device based upon a first motion of a payment enabled card in a first direction and generate a second boundary of the optimal payment location on the application display of the user device based upon a second motion of the payment enabled card in a second direction. The first boundary and the second boundary combine to form defining edges of the optimal payment location.

Abstract: Systems and methods are provided for calculating a savings amount for loan refinancing. According to one implementation, a method includes displaying a graphic user interface comprising a widget at a client device and receiving input data from a user regarding a loan. In some embodiments, the input data may include the user's credit level and the current monthly payment, APR, and payoff amount associated with the user's current loan. The method further includes determining a saving amount based on a comparison of the input data with historical savings data accessible to the widget, and displaying the savings amount in the graphic user interface.

Abstract: Methods of preparing a hemicellulose-product and a holocellulose-product from a carbohydrate-rich material, including spend coffee grounds, are described. Hemicellulose-products and holocellulose-products produced according to these methods are also described.

Abstract: Disclosed herein is an identity network that provides a universal, digital identity for users to be authenticated by an identity provider for relying parties upon sign-in to the relying party. The identity network receives the sign-in request from a relying party for a user using a user device. The identity network can provide a session identifier to the relying party for the request and launch an identity provider application associated with the user via a software development kit in the relying party application. The user may sign-in to the identity provider via the software development kit, thereby authenticating the user for the relying party. Additionally, the identity provider may generate a risk validation score and provide it to the relying party that provides a confidence value that the user is validly using the user device and a risk score based on device activity on the identity network.

Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.

Abstract: Systems, methods, articles of manufacture, and computer-readable media. A server may receive a phone call and generate a uniform resource locator (URL) comprising a session identifier for an account. The server may transmit the URL to a client device. The server may receive, from a web browser, a request comprising the URL. The server may determine that the session identifier in the URL of the request matches the session identifier for the account, and transmit, to the web browser, a web page at the URL. The server may receive, from the web browser, a cryptogram read by the web page via a card reader of the client device and decrypt the cryptogram. The server may authenticate the identity of the caller for the call based on decrypting the cryptogram and the session identifier of the URL matching the session identifier of the account.

Abstract: Provided is a method for configuring at least one rule, e.g., using a graphical user interface. The method may include displaying a graphical user interface including a polygon having at least three edges and an icon at a first position within the polygon. Each edge of the polygon may be associated with a potential outcome of at least one rule. An input to move the icon to a second position within the polygon may be received. The graphical user interface may be displayed with the icon at the second position within the polygon. A distance from the second position of the icon to each edge of the polygon may be determined. The rule(s) may be adjusted based on the distance from the second position of the icon to each edge of the polygon. A system and computer program product are also disclosed.

Abstract: A docking board removably coupled to a processor board that does not function when not operatively coupled to the docking board. The docking board sends power to and receive a control signal from the processor board when operatively coupled to the processor board and does not send power and does not receive a control signal when not operatively coupled to the processor board. The docking board is removably coupled to an expansion board that performs a computer function that is not performed by the processor board and the docking board. The docking board sends power and a control signal to the expansion board when the docking board is operatively coupled to the processor board and the expansion board, and does not send power and does not send a control signal to the expansion board when the docking board is not operatively coupled to the processor board and the expansion board.

Abstract: A system is disclosed for coordinating multiple software component deployments, upgrades, or migrations simultaneously or individually across a multiple-location/cloud platform. The system includes an application gateway router that routes incoming API requests based on an identifier in headers of the request that is associated with a swimlane construct, the swimlane containing multiple software components. By associating a swimlane's possible destinations with a timestamp or time range indicating when they are in effect, all of the components in the swimlane can be simultaneously upgraded or migrated by changing the API endpoint to which requests will be forwarded, with zero downtime. This solution is technology-, platform-, and cloud-agnostic and can be extended and applied to any organization using software.

Abstract: The disclosed embodiments include methods, systems, and articles of manufacture for enabling beta testing of new features within a native application. In one embodiment, a native application executed by a client device may include executable instructions that are activated and executed only upon indication of a user belonging to a beta test group. The client device may receive a signal from a service or content provider that includes test group information indicating whether a user is a member of a test group. The client device may process the received signal to determine whether the user is a member of a test group and, if so, activates and executes certain instructions received as part of the native application that define a user interface enabling access to additional functionality unavailable to a user determined not to be a member of a test group.

Abstract: A method for training a neural network model includes generating a training dataset with a plurality of data types and word samples belonging to each data type. A plurality of character strings stored in a plurality of data fields in a first data file are received where the plurality of character strings includes at least one word belonging to at least one data type in the plurality of data types. The at least one word from each of the plurality of character strings in each of the data fields are split and matched to the at least one data type using the neural network model. An ad hoc second data file with a plurality of data vectors is constructed based on a user selection of data field labels where each data vector includes words matched to a data type with a respective data field label.

Abstract: A rotating cutter apparatus including a housing having a housing interior surface defining a housing bore, a shaft extending through the housing bore such that an annular space is provided between the housing interior surface and the shaft, and at least one cutter carried on the shaft. The shaft is rotatable relative to the housing about a shaft axis. The at least one cutter extends radially toward the housing interior surface and is rotatable relative to the housing about the shaft axis. A method for reducing a size of solid objects contained in a fluid, including providing a rotating cutter apparatus, introducing the fluid containing the solid objects into the rotating cutter apparatus, and rotating a shaft and at least one cutter in order to reduce the size of the solid objects while passing the fluid through the rotating cutter apparatus.

Abstract: Disclosed herein are methods for treating an Ebola virus and inhibiting the transmission and propagation thereof.

Abstract: An apparatus comprising a housing having a housing throughbore extending therethrough along a central axis; a motor drive shaft disposed in the housing throughbore; a component drive shaft disposed in the housing throughbore; and an alignment coupler mechanically coupling the motor drive shaft with the component drive shaft. The alignment coupler comprises: an alignment coupler body having an alignment coupler body throughbore extending therethrough; a spherical bolt comprising a spherical first end and an elongated section extending from the spherical first end to a second end; a thermally expandable material (TEM) section; a spring section comprising one or more springs; and one or more spherical spacers. The alignment coupler enables alignment of the motor drive shaft and the component drive shaft within the apparatus during assembly of the apparatus, and heating of the TEM provides rigidity to the assembled apparatus prior to use.

Abstract: A computer-implemented method for determining alternative plans for a user may include: determining an event status of an event based on one or more parameters, wherein the event status comprises a target event indicator, wherein the one or more parameters comprise event population; obtaining event data of a target event; obtaining transactional data of the user, wherein the transactional data includes transaction time and transaction location; determining, via one or more processors, a likelihood of a potential transaction of the user associated with the target event by processing the transactional data and the event data using a trained machine learning model; and transmitting, to the user, a notification based on the determined likelihood of the potential transaction, wherein the notification includes a suggestion for alternative travel plans of the user.

Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.