Abstract: A computing device may represent dialog for output by a chatbot as a response graph. The graph may consist of nodes and edges, both of which may have attributes. The graph may be linked with another graph. There may be one or more traversal paths through the graph. The computing device may represent each traversal path as a row in a database table. Each column in the table row may correspond to: one or more nodes in the traversal path, a condition value, weight, and/or other filtering condition. A computing device may display a graphical user interface that allows a user to add, edit, and/or delete nodes and/or edges of the graph. The user interface may also allow the user to compare two or more graphs. The user interface may generate visualizations of traversal paths of a response graph.

Abstract: In one implementation, systems and methods are provided for processing digital experience information. A computer-implemented system for processing digital experience information may comprise a central data location. The central data location may comprise a connector that may be configured to receive information belonging to a category from an information source; an event backbone that may be configured to route the information received by the connector based on the category; a translator that may be configured to transform the received information into a common data model; and a database that may be configured to store the received information. The event backbone may be further configured to send information to the connector from the event backbone and the database based on one or more criteria.

Abstract: A system may include a processor that may receive account information having a plurality of transactions associated with a bank account. The processor may then determine an expected burn rate of funds based on the account information, determine an expected savings balance at a first time based on the account information and the expected burn rate, generate an event in response to the expected savings balance being below a threshold, and send an alert including the event to a computing device associated with the user. The alert may indicate a status of the expected savings balance via an electronic display of the computing device.

Abstract: Systems and methods are disclosed for selecting a drill bit design that reduces or eliminates bit induced stick-slip. In some embodiments, each of a set of test drill bits is correlated with stick-slip events, wherein each of the test drill bits has a different design pattern comprising a combination of structural attributes. The design pattern stick-slip correlation includes, for each of the test drill bits, detecting variations in motion of the test drill bit during drilling operation. Stick-slip for each of the test drill bits is detected based on the detected variations in motion of the test drill bits during operation. The correlation further includes in response to detecting stick-slip, recording a stick-slip event in association with the corresponding test drill bit.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for authenticating a first computing device to access a secure account. Receiving a request from a second computing device to be authorized to access the secure account. Providing, to the second computing, first data that represents a first machine-readable code for presentation by the second computing device. Receiving, from the first computing device, second data that represents a second machine-readable code as read by the first computing device. Authorizing the second computing device to access the secure account in response to determining that the second data accurately represents the first machine-readable code as sent to the second computing device.

Abstract: Apparatuses, methods, and systems are provided for making sequential recommendations using transition regularized non-negative matrix factorization. A non-application specific collaborative filtering based personalized recommender system can recommend a next logical item from a series of related items to a user. The recommender system can recommend a next desirable or series of next desirable new items to the user based on the historical sequence of all user-item preferences and a user's most recent interaction with an item. An asymmetric item-to-item transition matrix can capture aggregate sequential user-item interactions to design a loss function for matrix factorization that incorporates the transition information during decomposition into low-rank factor matrices.

Abstract: Provided is a computer-implemented method for determining a dominant account profile of an account. The method may include receiving transaction data associated with a plurality of payment transactions conducted within a predetermined time interval of activation of an account involved in the plurality of payment transactions, generating a dominant account profile classification model, determining a plurality of prediction scores for the account based on the dominant account profile classification model and the transaction data, where determining the plurality of prediction scores includes determining, for the user, a prediction score for each dominant account profile, where a prediction score includes a prediction of whether the user will conduct a threshold value of payment transactions using the account in one or more payment transaction categories of a plurality of payment transaction categories, and communicating data associated with the plurality of prediction scores.

Abstract: Embodiments are described herein for systems and methods for continuously monitoring a network structure of one or more networks using a cloud-based network monitoring system, and rearranging, using the cloud-based network monitoring system, the network structure of the one or more networks to protect confidential and/or prioritized assets of the one or more networks based at least in part on the monitoring of the network structure of the one or more networks. In certain embodiments, the cloud-based network monitoring system is configured to continuously monitor a network structure of one or more networks, and to automatically rearrange the network structure of the one or more networks to protect confidential and/or prioritized assets of the one or more networks based at least in part on the continuous monitoring of the network structure of the one or more networks.

Abstract: The method includes first defining at least one channel within a first housing of a heater assembly, the at least one channel extending from a first end to a second end of the first housing, second defining a cavity in the first end of the first housing, third defining a first reservoir in the second end of the first housing, the at least one channel being in fluid communication with the first reservoir, and fourth defining an opening within a first wall within the first housing, the opening causing the first reservoir and the cavity to be in communication with each other.

Abstract: A thin client may be utilized to facilitate data exchanges between two devices (e.g., a remote computer and a portable device). In some embodiments, the two devices may utilize differing communications protocols. The thin client may further be configured with a rules engine that determines one or more actions to be performed in response to one or more stimuli. The thin client may manage the processing flow between the two devices according to one or more predefined rules that are interpretable by the rules engine. The rules may be pushed to the thin client via any suitable device enabling the functionality of the thin client to be configured and/or modified without having to update the hardware and/or software of the thin client.

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: A method including receiving a request based on a sender initiating a funds transfer, wherein the funds transfer is for the sender to make a payment to a non-financial institution. The sender has a sender account at a sender financial institution. The method also can include obtaining sender identifying information from the sender. The method additionally can include sending at least a recipient public identifier and a payment amount for the payment to the sender financial institution to cause the sender financial institution to send a funds transfer request to a computer-implemented funds transfer network to initiate the payment from the sender account at the sender financial institution to a recipient account at a recipient financial institution. The funds transfer request does not include an account number of the recipient account. The computer-implemented funds transfer network is operated by an entity that is different from the recipient financial institution and the sender financial institution.

Abstract: This disclosure relates generally to method and system for live video streaming with integrated encoding and transmission semantics. The system receives a set of frames associated with a live video stream encoded to generate a set of data fragments using a reference encoder and a delta encoder. Transmitter unit of the live video streaming protocol transmits each packet of the set of full frames and the set of delta frames in sequence with a payload specific header based on a packet mode. Further, the receiver unit receives each packet of the full frames and each packet of the delta frames based on the packet mode to reconstruct an original sequence from the foreground pixels by estimating a total number of packets expected at each frame interval and loss incurred in each packet of the set of full frames and the set of delta frames.

Abstract: Systems and methods for on demand service integration. A system includes at least one processor and a storage medium storing instructions that, when executed by the one or more processors, cause the at least one processor to perform operations including receiving from a customer system a request to integrate a partner service with an integrator instance at the customer system and searching an integrator database for a partner service communication template based on the received request. The operations also include configuring the integrator instance to receive communications from a partner service instance based on the communication template and establishing a communication link between the integrator instance and the partner service instance.

Abstract: Methods are disclosed for treating a subject with a tumor. These methods include administering to the subject a therapeutically effective amount of CD8+CD39+CD103+ T cells. Methods also are disclosed for isolating a nucleic acid encoding a T cell receptor (TCR) that specifically binds a tumor cell antigen. These methods include isolating CD8+CD39+CD103+ T cells from a sample from a subject with a tumor expressing the tumor cell antigen, and cloning a nucleic acid molecule encoding a TCR from the CD8+CD39+CD103+ T cells. In addition, methods are disclosed for expanding CD8+CD39+CD103+ T cells. In additional embodiments, methods are disclosed for determining if a subject with a tumor will respond to a checkpoint inhibitor. The methods include detecting the presence of CD8+CD39+CD103+ T cells in a biological sample from a subject.

Abstract: Systems for partitioning text are disclosed. The system can receive a text string. A delimiter can be identified based on the text string. Based on identifying the delimiter, a character sequence to the left and/or right of the delimiter can be identified. The identification can occur up to a predetermined number/length of characters. Using a trained model, the system can determine whether the character sequence indicates the delimiter is part of a continuous string of text. Based on determining whether or not the delimiter is part of the continuous string of text, the system can generate a token representing the continuous string of text or the delimiter.

Abstract: Disclosed are systems and methods for providing a hybrid mobile application. The method may include: receiving specification of at least one feature of a mobile application. The mobile application may be specific to a first programming platform. The method may further include generating the at least one feature based on the specification. The at least one feature may be written in a programming language specific to a second programming platform, and the second programming platform may be different from the first programming platform. The method may also include compiling a programming wrapper based on the at least one feature of the mobile application, combining the at least one feature and the programming wrapper into a programming component, packaging the programming component into the mobile application, and distributing the mobile application in a repository of the first programming platform.

Abstract: Orders received by an electronic trading system are processed in batches based on the instrument to which an order relates. An incoming order is assigned to a queue of a queue set that makes up the batch according to a random process. Where orders are received from related trading parties, they are assigned to the same queue set according to their time of receipt. The batch has a random duration within defined minimum and maximum durations and at the end of the batch, the orders held in the queues are transferred to a matching thread of the trading system sequentially with one order being removed from each queue and a number of passes of the queues completed until orders have been removed.

Abstract: Various embodiments are generally directed to performing an authentication persistence check and, based on the check, allowing a previously successful authentication to persist on a user apparatus. The check may involve a stability check on the user apparatus. If the user apparatus is stable, device fingerprinting on the apparatus may be performed, the result of which may be compared to a snapshot of apparatus taken at the time of successful authentication. If the comparison reveals changes or drifts that are within a predetermined threshold, then the persistence of the authentication is allowed.

Abstract: A method may comprise forming a data matrix, extracting chromatographs of a mud filtrate and a formation fluid, extracting concentration profiles of the mud filtrate and the formation fluid, and decomposing a data set on an information handling machine using a bilinear model. A system may comprise a downhole fluid sampling tool and an information handling tool. The downhole fluid sampling tool may comprise one or more multi-chamber sections, one or more fluid module sections, one or more gas chromatographers, wherein the one or more gas chromatographers are disposed in the one or more fluid module sections, and an information handling system.