Abstract: Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

Abstract: A processor receives a request to communicate a source data using a preferred communication channel and obtains a first set of communication templates that correspond to a type of the source data and the preferred communication channel. The processor obtains an overall performance indicator associated with each communication template from the first set of communication template and selects from the first set of communication templates, one or more communication templates that are associated with a value of the overall performance indicator that equals or exceeds a first threshold value. The processor then obtains an individual performance indicator associated with each multimedia component included in the selected one or more communication templates and generates a custom communication template by adding multimedia components having high individual performance indicators.

Abstract: Aspects of the disclosure relate to intelligent processing of broken or failed ATM transactions. In some embodiments, a computing platform may receive transaction data associated with a pending transaction initiated on a mobile computing device and generate hash information corresponding to the received transaction data. Then, the computing platform may identify ATMs previously visited by the user. Based on performing analytics on those previously visited ATMs, the computing platform may identify, from those previously visited ATMs, one or more alternate ATMs for completing the pending transaction. Next, the computing platform may send a notification to the mobile computing device that includes navigation information. Thereafter, the computing platform may cause the alternate ATMs to await input from the user by sending the generated hash information.

Abstract: Herein is a self-tuning database management system (DBMS) storing JavaScript object notation (JSON) documents and operating a JSON datatype as native to the DBMS. In an embodiment, a computer hosts a DBMS that executes a data definition language (DDL) statement that defines, in a database dictionary of the DBMS, a JSON document column of a database table that stores JSON documents as instances of the JSON datatype that is native in the DBMS. The DBMS may autonomously set or adjust configuration settings that control behaviors such as a default width of a JSON document column, in lining or not of the JSON document column, kind and scope and duration of indexing of the JSON document column, and/or caching of the JSON document column such as in an in memory columnar unit (IMCU). The DBMS may use the various configuration settings to control how JSON documents and the native JSON datatype are stored and/or processed.

Abstract: Disclosed are compounds and compositions for the activation or induction of expression of a pattern recognition receptor (e.g., STING, RIG-I, MDA5), and methods of use thereof.

Abstract: Disclosed are compounds and compositions for the activation or induction of expression of a pattern recognition receptor (e.g., STING, RIG-I, MDA5), and methods of use thereof.

Abstract: Systems and methods for classifying a traffic flow on a network to determine parameters are described herein. The systems and methods use a policy API of a cellular network to allow entities to self-identify when, for example, their traffic flows may be encrypted or the identity of the originating location is obfuscated. The requesting entity accesses the policy API and transmits a self-identification request for a particular set of parameters to be used for subsequent traffic flows from the self-identification requesting entity. The cellular network may use the self-identification requests to allocate resources according to the parameters listed in the self-identification request without requiring the cellular network to decrypt the transmissions or analyze the transmissions to determine parameters.

Abstract: A configured application for authorizing a credit card by a user and a method that may include receiving an electronic request to pair a mobile device associated with a user with a credit card of the user. The credit card may include a location tracking circuitry to remotely communicate a location of the credit card to a remote electronic recipient. The location of the credit card may be received by a processor from the remote electronic recipient. A proximity multi-factor authentication may verify that the user is an authorized user of the credit card. The mobile device associated with the user may be paired with the credit card of the user after verifying that the user is the authorized user. The processor may receive the location of the credit card paired with the mobile device from the remote electronic recipient. The location of the credit card may be displayed on a display of the mobile device associated with the user.

Abstract: Systems, methods, and computer-readable storage media for quantifying meeting effectiveness for an individual. A system configured as disclosed herein uses data from multiple meetings in which a user participated to create a user profile for the user. The system then receives data related to a new meeting in which the user participated, processes the new meeting data into segments using natural language processing, tags the resulting segments based on contexts, and compares the tagged segments to the user profile to generate a meeting effectiveness score for the new meeting which is specific to the user. The system can use machine learning to iteratively improve an ability of the system to generate the tagged segments using historical meeting data and updating that historical meeting data with each iteration of scoring a meeting's effectiveness.

Abstract: The present disclosure relates to compounds that inhibit Ly6K. Also disclosed are methods of using such compounds to inhibit activity of Ly6K protein in a cell, to inhibit cell proliferation, to modulate expression of a gene in a cell, to reduce suppression of the immune response to cancer in a subject, to decrease tumorigenic growth of a cancer in a subject, and to treat or prevent in a subject a disorder mediated by Ly6K protein.

Abstract: Disclosed are compounds and compositions for the activation or induction of expression of a pattern recognition receptor (e.g., STING, RIG-I, MDA5), and methods of use thereof.

Abstract: Methods, systems, and computer readable media for resource cleanup in communications networks are disclosed. One method for resource cleanup in a communications network comprises: at a policy control function (PCF) comprising at least one processor: receiving, from a binding support function (BSF), a first notification indicating a potentially stale or inactive first binding record, wherein the first notification includes context data associated with the first binding record; determining that resource cleanup associated with the first binding record should be performed; and initiating, using the context data, resource cleanup associated with the first binding record at one or more network entities.

Abstract: The present disclosure provides fuel additives including Mannich-based quaternary ammonium salt additives, fuel compositions including such additives, and Methods of improving performance of fuel injector using such additives.

Abstract: The present disclosure provides fuel additives including Mannich-based quaternary ammonium salt additives, fuel compositions including such additives, and Mehtods of improving performance of fuel injector using such additives.

Abstract: Disclosed are compounds and compositions for the activation or induction of expression of a pattern recognition receptor (e.g., STING, RIG-I, MDA5), and methods of use thereof.

Abstract: Solid films and articles having a surface with discrete regions patterned with a deposited low molecular weight organic compound, such as pharmaceutical actives and new chemical entities, are provided. The organic compound may be present at ? about 99 mass % in the one or more discrete regions and may be crystalline or amorphous. The deposited organic compound may be deposited as a film having high surface area. The deposited organic compound exhibits enhanced solubility and bioavailability, by way of non-limiting example. Methods of organic vapor jet printing deposition method of such a low molecular weight organic compound in an inert gas stream are also provided.

Abstract: Analyzing communications to determine appropriateness and provide recommendations based on prior communications. Prior communications may create a baseline tone based on the sentiment, words, or phrases used in previous communications between the user and the intended recipient and/or other user recipient pairs. Machine learning techniques may be used to continuously update a baseline tone.

Abstract: Methods and systems are disclosed for improvements in cloud services by sharing estimated and actual usage data of cloud services recipients with the cloud services provider. The sharing of this data allows the cloud services provider to better apportion cloud resources between multiple cloud services recipients. By analyzing information included in the shared data (e.g., information about one or more applications that use the cloud resources), the cloud services provider may categorize the applications and/or the functions of those applications into authorized and unauthorized uses, the determination of which, is used to further efficiently apportion the cloud services resources.

Abstract: Systems and methods provide micro-credential accreditation. The systems and methods analyze, using one or more prediction models, received text submissions received from applicants via interaction with an applicant device. The prediction model(s) fit one or more micro-credentials to the received text submission, which may collectively or independently qualify the applicant for one or more accreditation credits. By processing the received text submission, the systems and methods allow for consistent and standard output of micro-credentials by the prediction model(s). Furthermore, the systems and methods provide for monitoring the prediction model output(s) to ensure ethical fairness across varying demographic groups of applicants.

Abstract: Methods, systems, and computer readable media for resource cleanup in communications networks are disclosed. One method for resource cleanup in a communications network comprises: at a policy control function (PCF) comprising at least one processor: receiving, from a binding support function (BSF), a first notification indicating a potentially stale or inactive first binding record, wherein the first notification includes context data associated with the first binding record; determining that resource cleanup associated with the first binding record should be performed; and initiating, using the context data, resource cleanup associated with the first binding record at one or more network entities.