Abstract: The present disclosure relates to a composition comprising an active ingredient or drug for degenerative disorders, one or more plant-derived neuroprotective ingredients and one or more nutraceutically or pharmaceutically acceptable excipient and a method of preparing the same. The composition delivers the active ingredient or the drug to the predetermined location of the body with success.

Abstract: Systems and methods can evaluate candidates for eligibility to take part in trials. For example, a system may receive a request related to a candidate and access a database that includes a collection of data related to the candidate. In addition, the system may receive an update to the collection of data to generate an updated collection of data and automatically evaluate the updated collection of data against a plurality of trial criteria. In some examples, the system may determining at least one potential trial for the candidate based on the evaluation and convert the updated collection of data into one or more criteria sections and may subsequently automatically generate, substantially contemporaneous to determining the at least one potential trial, a graphical user interface (GUI) including the one or more criteria sections and automatically display, within the GUI, a message to one or more users related to eligibility of the candidate for the at least one potential trial.

Abstract: A power circuit for a computer system is disclosed. The power circuit includes a voltage regulator circuit and a pull-down circuit. While activated, the voltage regulator circuit generates a particular voltage level on a regulated power supply node. In response to the voltage regulator circuit being deactivated, the pull-down circuit couples a first resistor between the regulated power supply node and a ground supply node. After a period of time has elapsed since the deactivation of the voltage regulator circuit, the pull-down circuit decouples the first resistor, and couples a second resistor, whose value is greater than the first resistor, between the regulated power supply node and the ground supply node.

Abstract: A bandgap tuneable p-GaN high electron mobility transistor (HEMT) having a structure stacked on a silicon carbide substrate. The device incorporates an indium nitride nucleation layer, followed by an aluminum nitride nucleation layer, and a first aluminum gallium nitride buffer layer. A gallium nitride channel layer is deposited on this stack, with an aluminum source and a drain contact at either end. The bandgap tuneable p-GaN HEMT includes a two-dimensional molybdenum disulfide layer over the channel, covered by a second AlGaN buffer layer. A p-type gallium nitride cap layer and a platinum gate contact complete the structure. This configuration facilitates bandgap tuning and strain engineering, enhancing electron mobility and density in the two-dimensional electron gas region, making it suitable for high-power and high-frequency applications.

Abstract: For a seamless and robust artificial intelligence-based assistant experience, an intent-based query and response router has been designed to operate as an intelligent layer between a user and multiple backend services that may respond to one or more queries over the course of a conversation with the user. The query router interacts with an intent classification service to obtain an intent classification for a prompt that is based on a user query. The query router uses the intent classification, which is used as an identifier of a backend service, to route the user query to an appropriate one (or more) of the backend services. When a response is detected, the query router determines a corresponding conversation and provides the response for the conversation.

Abstract: System and method are provided for identification and classification of multilingual messages that would be considered inappropriate in an online interactive portal. The system may include processors to generate a set of data of intended inappropriate multilingual messages to train classification model. The set of data with labels is classified by assigning unique identifiers. The system includes pre-processing module to eliminate unwanted characters from set of data to train classification model. The classification model may be trained by multilingual representation module based at least in part on set of data with labels. The classification model determines whether set of data with one or more labels includes intended inappropriate multilingual messages. Furthermore, feedback loop module is utilised to retrain classification model recurrently to update set of data.

Abstract: Disclosed herein are systems and methods for providing mobile call authentication. For instance, a token indicative of a call request can be received from a calling party. The token can include a called party number and a time of the request. A subscriber database can be accessed to determine identifying information associated with the calling party based at least in part on the token. The token can be authenticated based at least in part on the identifying information and using one or more predefined authentication protocols. The token can be stored in a call session registry storing data indicative of a plurality of active telephone call events. A verification request for the call request can be received from the called party. The call request can be verified based at least in part on the token. The called party can be notified that the call request has been verified.

Abstract: A service analyzes impact of new software updates for various network elements and performs tailored recommendation of software updates to a customer having a network element(s) deployed. The service analyzes impact of a software update based on evaluation of documentation published for the update and data of issues that are at least potentially associated with the software update (e.g., software bugs, vulnerabilities, etc.) to obtain software update metadata and data indicating changes in functionality and/or potential issues affecting the software. The service parses configuration data for the network element(s) based on the update impact data/metadata to extract a subset that is relevant to available software updates.

Abstract: At least one electrical brain signal is received from a patient and is demultiplexed into an efferent motor intention signal and at least one afferent sensory signal (such as an afferent touch sense signal and/or an afferent proprioception signal). A demultiplexed afferent touch sense signal may be used to control a haptic device.

Abstract: An example computing system is configured to (i) receive information indicating a set of tests, each test comprising a request to and response from an API that collectively define an API test contract, (ii) based on the set of tests, determine a set of API test contracts, (iii) receive information indicating API production traffic comprising a set of requests to, and responses from, the API, wherein each production request and corresponding production response collectively define an API production contract, (iv) based on the production traffic for the API, determine a set of API production contracts, (v) compare the API test contracts with the API production contracts, (vi) based on the comparison, determine an inconsistency between the sets of API contracts; and (vii) based on the determined inconsistency, cause a change in (a) an extent of the set of tests, or (b) an extent of functionality of the API.

Abstract: The present application discloses a method, system, and computer system for managing policy configurations. The method includes (i) receiving a set of predefined security policy rules, (ii) determining, based at least in part on the set of predefined security policy rules, one or more security policy rules that do not satisfy one or more predefined requirements, (iii) performing a priority or position analysis to determine a relationship among a plurality of security policy rules, and (iv) providing a report pertaining to the one or more security policy rules.

Abstract: A security configuration gap analysis system described herein infers roles of source and destination entities of a zone in a network at an organization. The system infers the roles by generating feature values from clustering traffic logs and extracting fields from configuration files of the zone and applying rules to the feature values that output a source/destination role pair. The system additionally compares the identified role pair to best practices to identify security services not implemented or correctly implemented at the firewall for the zone.

Abstract: A system as disclosed herein analyzes unresolved vulnerabilities against current configurations of devices of a network to generate an impact analysis report which provides a comprehensive view of the impact of the vulnerabilities on the network. This provides a manageable perspective of risk assessment and remediation for the network. To maintain a current view of device configurations, telemetry data streams are collected from the devices. A listing of outstanding or unresolved cybersecurity vulnerabilities is also maintained. When an analysis trigger is detected, the system extracts values of configuration properties for devices from the telemetry data streams and analyses them against the list of vulnerabilities to determine devices affected by the vulnerabilities. Tracking data are maintained according to the determinations of affected devices across vulnerabilities. This data is aggregated into an impact report that indicates impact of vulnerabilities to the network.

Abstract: State of the art techniques have challenges for recoloring a product, which includes non-realistic images, incorrect color mapping, structural distortion, color spilling into background, and in handling multi-color, multi-apparel and multi-product scenario images. Embodiments of the present disclosure provide a method and system for recoloring a product using a dual attention (DA) U-Net based on a generative adversarial network (GAN) framework to generate a recolored product with a target color from an input image. The disclosed DAU-Net enables recoloring (i) a single-color in a single-product scenario, (ii) a plurality of colors in a single-product scenario, and (iii) multi-product scenario with a human model.

Abstract: Apparatus and methods disclosed herein provide an optimal viewpoint from which a virtual camera views a scene in an environment surrounding an ego vehicle. A first value is determined indicating an extent to which a first view from a default viewpoint of the virtual camera satisfies first and second view observation objectives. A second value is determined indicating an extent to which a second view from an alternative viewpoint of the virtual camera satisfies the first and second view observation objectives. If the second value exceeds the first value by an amount greater than a specified criterion value, the alternative viewpoint is selected for the virtual camera. If the second value does not exceed the first value by an amount greater than the specified criterion value, the default viewpoint is selected for the virtual camera.

Abstract: At least one electrical brain signal is received from a patient and is demultiplexed into an efferent motor intention signal and at least one afferent sensory signal (such as an afferent touch sense signal and/or an afferent proprioception signal). A functional electrical stimulation (FES) device is controlled to apply FES to control a paralyzed portion of the patient that is paralyzed due to a spinal cord injury of the patient. The controlling of the FES device is based on at least the efferent motor intention signal. A demultiplexed afferent touch sense signal may be used to control a haptic device. The afferent sensory signal(s) may be used to adjust the FES control.

Abstract: The present disclosure relates to microbial-triggered small and large intestinal drug delivery (SLIDD) oral formulation and method of preparation thereof. The formulation delivers the active ingredient or the drug to the predetermined location in the GI tract with success.

Abstract: The present subject matter provides a method for de-noising an audio visual speech. The method includes modeling a noise in the audio visual speech using a noisy speech from audio data associated with the audio visual speech to generate a reconstructed noise signal. The method includes estimating the reconstructed noise signal in the audio visual speech using an audio signal and a plurality of visual frames. The method includes partitioning the reconstructed noise signal into a plurality of windows and calculate an energy associated with each window. The method includes estimating a noise strength in each window by performing a soft max operation to obtain one or more refined audio features. The method includes fusing the one or more refined audio features and one or more visual features using the noise strength to generate an output that is passed through a decoder to obtain a de-noised audio visual speech.

Abstract: A method for activating a lock in a vehicle includes capturing an image of an interior of a vehicle, the image comprising an occupant on a seat of the vehicle, detecting a weight value of the occupant on a respective seat of the vehicle, processing the image for determining whether the occupant is a human or an object or an animal, processing, in response to the determination that the occupant is the human, the image for determining a parameter of the human, and activating a lock based on the parameter, or the weight value and the parameter.

Abstract: Disclosed herein are systems and methods for providing mobile call authentication. For instance, a token indicative of a call request can be received from a calling party. The token can include a called party number and a time of the request. A subscriber database can be accessed to determine identifying information associated with the calling party based at least in part on the token. The token can be authenticated based at least in part on the identifying information and using one or more predefined authentication protocols. The token can be stored in a call session registry storing data indicative of a plurality of active telephone call events. A verification request for the call request can be received from the called party. The call request can be verified based at least in part on the token. The called party can be notified that the call request has been verified.