Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.

Abstract: The present disclosure provides for a system (100) and method (250) that facilitates a robust and effective solution to an entity or an organization by enabling ingestion and processing of a set of data packets corresponding to large streaming and batched data in a big data eco-system that may be fast and may provide optimal throughput, rate control, throttle and embedded fault tolerance. The system (100) is equipped with a data ingestion module (110) to receive the set of data packets and extract a set of attributes pertaining to the nature of data from the set of data packets received and then poll a plurality of second computing devices (104) based on the set of attributes extracted; and, upon establishing polling, store the set of data packets in the plurality of second computing devices (104).

Abstract: A process for the production of a polyurethane foam having a resilience of at least 50%, said process comprising reacting (i) a first polyether polyol comprising polyether chains containing no more than 20% ethylene oxide content, and having a primary hydroxyl content of no more than 25%; (ii) a second polyether polyol comprising polyether chains containing at least 50% ethylene oxide content; and (iii) one or more aromatic polyisocyanates, in the presence of one or more catalysts having gelling and/or blowing activities.

Abstract: The present invention provides a robust and effective solution to an organization by enabling them to implement a system (110) for facilitating format preserving encryption capability such that the encrypted data will not be available with its original value in a big data system and render sensitive field data as non-sensitive. Thus, sensitive data may be hidden from data-stores/warehouses without worrying about downstream access to the data. The system (110) proposed may also preserve the data type and format of datasets but not limited to the like. The system encrypts a dataset with a unique key (404) and then allows a privileged user (902) to decrypt the encrypted dataset with the unique key (404) and view the decrypted values without getting access to the sensitive original dataset.

Abstract: This document relates to methods and materials for using 4-aminopyridine (4-AP) and/or one or more derivatives of 4-AP. For example, a composition containing 4-AP and/or one or more derivatives of 4-AP can be administered (e.g., orally administered) to a mammal to increase a level of bone morphogenetic protein 2 (BMP-2) polypeptides within the mammal. For example, a composition containing 4-AP and/or one or more derivatives of 4-AP can be administered (e.g., orally administered) to a mammal having bone loss to increase the level of BMP-2 within the mammal, thereby treating the mammal's bone loss.

Abstract: This document relates to methods and materials for treating burns. For example, compositions containing 4-aminopyridine (4-AP) and/or one or more derivatives of 4-AP can be administered (e.g., systemically administered) to a mammal having one o more burns to treat the burn(s) (e.g., to promote burn wound healing).

Abstract: A vehicle control system may determine a required tractive effort and/or a required braking effort to propel a vehicle system at a determined speed. The vehicle control system may determine a throttle setting or a brake setting to provide the required tractive effort and/or the required braking effort and communicate a control signal from a remote controller device to an onboard controller device. The vehicle control system may operate a propulsion system at the throttle setting and/or a brake system at the brake setting to move the vehicle system at the determined speed.

Abstract: An anomaly detection and analysis system generates analysis or summary of the anomalies detected from key performance indicators (KPIs). The system receives anomaly data reporting anomalies detected in key performance indicator (KPI) data. The system classifies the reported anomalies into a plurality of anomaly items, wherein anomalies from KPI data that share a set of features are assigned to one anomaly item. The system computes a ranking score for each anomaly item by assigning predefined weights for different anomaly types that are present in the anomaly item. The system sorts a list of anomaly items from the plurality of anomaly items into a sorted list of anomaly items according to the ranking scores computed for the plurality of anomaly items. The system sends the sorted list of anomaly items to a user device for presentation.

Abstract: Disclosed are methods and systems for supervised machine learning for automated assistants. An example method includes: receiving an automated assistant transcript comprising a plurality of records, wherein each record of the plurality of records comprises a query, a classification of the query, an intent associated with the query, and a responsive action associated with the intent; receiving, via a graphical user interface (GUI), a user input indicating an approval of a new automated assistant transcript record; comparing the new automated assistant transcript record to one or more records of the plurality of records; and responsive to detecting a conflict of the new automated assistant transcript record with one or more records of the plurality of records, displaying, via the GUI, a notification of the conflict.

Abstract: A method for a smart device management resource picker includes receiving an authorization request from a third party. The authorization request requests access to a user resource managed by the device manager. The device manager manages access controls associated with a plurality of user devises, the access controls are configured by a user. The method also includes determining whether the third party is authorized to access the user resource managed by the device manager. When the third party is authorized to access the user resource managed by the device manager, the method includes determining whether the user has configured access controls at the device manager that governs the user resource subject to the authorization request. When the user has configured a respective access control that governs the user resource subject to the authorization request, the method includes communicating a response to the authorization request based on the respective access control.

Abstract: In one embodiment, dynamic user private networks are virtually segmented within a shared virtual network. A network control system maintains the dynamic logical segmentation of the shared virtual network. User entities (e.g., user devices and/or services) are communicatively coupled to respective personal virtual networks via endpoints of access devices. Each of these endpoints is associated with a corresponding user private network. Responsive in real-time to automated processing of a received electronic particular user request, the network control system automatically modifies the dynamic logical segmentation of the shared virtual network to move a particular user entity on the shared virtual network to newly being on the first dynamic user private network without being disconnected from the shared virtual network. One embodiment uses different user private network identifiers (UPN-IDs) associated with endpoints and received packets to identify their respective user private network.

Abstract: A method for a smart device management resource picker includes receiving an authorization request from a third party. The authorization request requests access to a user resource managed by the device manager. The device manager manages access controls associated with a plurality of user devises, the access controls are configured by a user. The method also includes determining whether the third party is authorized to access the user resource managed by the device manager. When the third party is authorized to access the user resource managed by the device manager, the method includes determining whether the user has configured access controls at the device manager that governs the user resource subject to the authorization request. When the user has configured a respective access control that governs the user resource subject to the authorization request, the method includes communicating a response to the authorization request based on the respective access control.

Abstract: A spring brake actuator for a commercial vehicle includes a service brake portion (4) and a spring brake portion (6) that has a housing (8, 108) with a first end (10, 110) proximal to the service brake portion (4), a wall section (12, 112) extending from the first end (10, 110), a second end (14, 114) distal to the service brake portion (4), and a locking mechanism (16, 116) for locking the first and second ends (10, 110, 14, 114) to the wall section (12, 112). The locking mechanism (16, 116) is arranged between the wall section (12, 112) and the second end (14, 114) of the housing (8, 108).

Abstract: The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

Abstract: Techniques in the disclosure use non-wetting or wetting surfaces to promote or hinder separation of gas from solution in a liquid. The systems and processes promote bubble nucleation and/or promote separation of a gas or gases from a liquid using non-wetting surfaces. Also, the systems and processes suppress bubble nucleation in order to create supersaturated solutions of gas or gases in a liquid by using wetting surfaces.

Abstract: A network performance degradation detection system is provided. The system receives Key Performance Indicator (KPI) values for devices of different device types running different software versions. The system determines baseline values of a first device type by averaging the KPI values of the different software versions running on devices of the first device type. The system compares KPI values for a first software version running on devices of the first device type with the determined baseline values to produce a set of comparison results. The system applies the set of comparison results to a classification model to determine whether the first software version running on devices of the first device type causes network performance degradation.

Abstract: Remote automated assistant component(s) generate client device notification(s) based on a received IoT state change notification that indicates a change in at least one state associated with at least one IoT device. The generated client device notification(s) can each indicate the change in state associated with the at least one IoT device, and can optionally indicate the at least one IoT device. Further, the remote automated assistant component(s) can identify candidate assistant client devices that are associated with the at least one IoT device, and determine whether each of the one or more of the candidate assistant client device(s) should render a corresponding client device notification.

Abstract: In one embodiment, dynamic user private networks are virtually segmented within a shared virtual network. A network control system maintains the dynamic logical segmentation of the shared virtual network. User entities (e.g., user devices and/or services) are communicatively coupled to respective personal virtual networks via endpoints of access devices. Each of these endpoints is associated with a corresponding user private network. Responsive in real-time to automated processing of a received electronic particular user request, the network control system automatically modifies the dynamic logical segmentation of the shared virtual network to move a particular user entity on the shared virtual network to newly being on the first dynamic user private network without being disconnected from the shared virtual network. One embodiment uses different user private network identifiers (UPN-IDs) associated with endpoints and received packets to identify their respective user private network.

Abstract: The disclosed system identifies international calling performance issues of a wireless telecommunication network. The system receives network traffic data for international calls including information about call attempts to a country. The system categorizes the country into a major category and a minor category based on the call attempts information. For a subset of countries, and for each key performance indicator in a subset of selected key performance indicators, the system monitors performance using an anomaly detection model to identify an anomaly in network performance, determines an actual value of the key performance indicator for the detected anomaly, and computes a variation value of the determined actual value based on a predicted range of values. The system ranks countries using the computed variation values, to indicate problematic parts of the wireless telecommunication network.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to multichannel authentication and tokenization. A system comprises a first authentication system serving a plurality of in-store point of sale terminals and implementing a physical channel authentication policy and a second authentication system serving a plurality of user devices accessing an e-commerce service and implementing an e-commerce channel authentication policy, and a tokenization system. The tokenization system being configured to generate a first token in response to receiving a first user credential from an in-store point of sale terminal via the first authentication system, generate a second token in response to receiving a second user credential from a user device via the second authentication system, and forward the first token and the second token to the retailer backend system, wherein the first token and the second token are generated based on a same tokenization protocol.