Abstract: A system and method for analysis of potential cybersecurity threats in an engineered system combines a functional simulation of the system with a cyberattack information layer. The cyberattack information layer informs the simulation with respect to the effects of a potential cyberattack on devices and links in the system. An iterative AI-based sequential decision-making optimization identifies a sequence of attacker steps for carrying out a cyberattack which has the greatest impact on a key performance indicator relating to operation of the system. The cyberattack information layer includes information relating to a topology and devices in the system from a computer network perspective and includes information on an amount of effort required to carry out possible attacks affecting each device or communication link in the system. The decision-making optimization may be run iteratively between the simulation and the cyberattack information layer to find a most impactful sequence of attacker actions.

Abstract: The present application relates to devices and components including apparatus, systems, and methods for reporting random access configuration information in wireless networks.

Abstract: Systems and methods are disclosed for improving common mode transient immunity in silicon digital isolators using capacitive barrier for galvanic isolation. The systems include transmitters and receivers that include differential amplifiers. The differential amplifier may include a first transistor electrically coupled between a first input of the transmitter and a first output of the transmitter, a second transistor electrically coupled between a second input of the transmitter and a second output of the transmitter, a first passive load electrically coupled between the first output of the transmitter and a source rail, and a second passive load electrically coupled between the second output of the transmitter and the source rail, wherein the first and second passive loads have the same impedance; and a bias voltage source configured to bias a gate of the first transistor and a gate of the second transistor.

Abstract: Systems and methods for reducing network traffic associated with generating event predictions based on cognitive image analysis are disclosed. The system receives a user input indicating a location identifier of a location of interest. The system queries a data store to determine whether an image associated with the location of interest satisfies a data recency criterion. In response to the image failing to satisfy the data recency criterion, the system queries a remote data store to determine whether another, additional image associated with the location of interest satisfies the data recency criterion. In response to the additional image satisfying the data recency criterion, the system extracts one or more image-based attributes of the additional image and determines a distance between objects of the image. The system generates an event prediction based on the image-based attributes, the distance, and location-based attributes using a machine learning model to be displayed.

Abstract: Various embodiments disclosed include, for each entity in a portfolio, receiving entity data indicative of attributes of an entity, determining the received entity data for at least some entities is missing a portion of the entity data required to perform a cyber risk analysis; and synthesizing the missing portion. The method may further include comparing the received entity data and synthesized missing portion for each of the entities to each other; locating clusters of similar entity data shared between two or more of the entities; and calculating a cyber risk score representing how different the entities are to one another based on the entity data that are not shared between entities. Some embodiments include comparing entities that are missing some entity data to entities which have complete entity data, and generating a synthesized portfolio by selecting entities having complete entity data to replace the entities that are missing entity data.

Abstract: Systems and methods of generating a personalized study plan with remedial content are disclosed. A first interface is generated including one or more sets of interface elements. The first interface allows selection of one interface element in each of the one or more sets of interface elements. The selected one interface element for each of the one or more sets of interface elements and a set of user preferences is obtained. Each of the selected one interface element is associated with the one or more factors including a tag and a semantic text. One or more opportunity areas based on the set of answers of the user data is determined and a plurality of content based on the one or more factors is identified. A second interface is generated. The second interface is comprised of one or more study features based on the one or more opportunity areas, the plurality of content, and the set of user preferences of the user.

Abstract: A system and method are provided for automating preparation of compound prescription at workstations having a user interface and a quantity input hardware, based on forecasted quantities, ordered quantities and simultaneous usage data. The method may include obtaining orders for compound prescriptions, via web clients, tracking information related to inventories, generating compounding tasks corresponding to the orders by analyzing ingredients necessary, prioritizing and assigning the compounding tasks to workstations, based on forecast demand, available supply, capacity, and the inventories, providing graphical user interfaces for users to process the orders at the workstations. In response to detecting a user of processing an order, the method may also include updating the inventories, updating the compounding tasks, and/or providing an update on the graphical user interfaces regarding a next compounding task performable at the workstation.

Abstract: A system may include a multi-level power converter comprising a power inductor and a plurality of switches and a controller configured to control the plurality of switches such that the multi-level power converter generates a regulated output voltage from an input voltage to the multi-level power converter, monitor an average inductor current through the power inductor, and operate the multi-level power converter in one of a continuous conduction mode and a discontinuous conduction mode based on the average inductor current.

Abstract: Mac learning for cross-site layer-2 connectivity. Some embodiments provide a method for enabling data traffic to be sent between across which a logical network spans. A logical network segment (i.e., a layer-2 network segment such as a logical switch) spans at least two sites via tunnels between network elements deployed in the sites that operate as bridges (or 2-port switches) to pass data traffic between the sites without leaving the logical network segment. Because these network elements operate similarly to bridges, they are not assigned network (layer 3) addresses (e.g., IP addresses). In order to send address resolution protocol (ARP) requests to a router in one site, the network element in another site uses a network address of one of the data compute nodes (DCNs) operating in its site that is connected to the logical network segment spanning the two sites.

Abstract: A method may include, when in a low-power mode of a power converter, monitoring an output voltage of the power converter; comparing, with a single comparator, the output voltage to a first threshold voltage and cause the power converter to enter a magnetization phase of the low-power mode responsive to the output voltage falling below the first threshold voltage; and during the magnetization phase and a demagnetization phase of the low-power mode, comparing, with the single comparator, the output voltage to a second threshold voltage lower than the first threshold voltage and cause the power converter to enter the high-power mode responsive to the output voltage falling below the second threshold voltage.

Abstract: Systems and methods are provided for providing advanced personalization in query systems.

Abstract: An apparatus includes an inertial measurement unit (IMU) configured to detect motion characteristics of a vehicle. The apparatus also includes an odometry system configured to detect a wheel speed of each wheel of the vehicle. The apparatus further includes at least one processor communicatively connected to the IMU and the odometry system, the at least one processor configured to determine first parameters for predicting a path of the vehicle, determine second parameters for predicting the path of the vehicle, and predict the path of the vehicle using a combination of the first parameters and the second parameters, wherein the combination is weighted based on a longitudinal acceleration of the vehicle obtained using the IMU.

Abstract: Systems and methods to analyze and identify adaptations to document based on an audience of the document to improve a document quality are disclosed. Exemplary implementations may: analyze individual documents to determine its active lexicon from lexicons stored in electronic storage that the individual documents are comprised of; store the documents in correlation with the determined active lexicons in the electronic storage; generate, based on the lexicons and the correlations, audience scores for individual ones of the documents; store the audience scores in the electronic storage; receive a request to obtain a document; and effectuate presentation of the document and the audiences scores corresponding to the document.

Abstract: Aspects of the invention provide a method, system, and computer program product for retrieval augmented generation. In one aspect, the method includes receiving a query. The method further includes classifying the query to a first domain within a plurality of domains. The method additionally includes determining an ambiguity associated with classifying the query. The method also includes retrieving an index of domain-specific vector embeddings corresponding to the domains when the ambiguity does not exceed a threshold for ambiguity. The method further includes prompting a large language model with the query and the domain-specific vector embeddings. The method also includes receiving a query response from the large language model as grounded with the most relevant index results. The method further includes forwarding the query response.

Abstract: An aqueous NFC containing tail-seal adhesive includes: (a) water; (b) nanofibrillated cellulose; and (c) one or more of: (i) a water-soluble cellulose derivative; or (ii) a water soluble polyol; or (iii) a viscosity modifier other than a water soluble cellulose derivative.

Abstract: Disclosed examples create at least first and second database shards in a leader node, the leader node located in a consensus ring; and cause replication of first namespace metadata in the at least the first and second database shards of the leader node and in at least first and second database shards in a follower node, the follower node located in the consensus ring.

Abstract: A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive a first top-view image of an area obtained from a sensor external to a vehicle, generate a second top-view image of the area based on data from a camera of the vehicle, and determine an estimated location of the vehicle in the area based on comparing the first top-view image and the second top-view image.

Abstract: This application sets forth techniques for managing push notifications for a reserve electronic subscriber identity module (eSIM) connection for a wireless device. A reserve eSIM is installed in the wireless device to provide a limited functionality connectivity option for essential services, such as device activation, user eSIM provisioning, user eSIM transfer, and user subscription account management. When a reserve eSIM is active, push notifications for a limited set of push notification topics are allowed to be communicated to the wireless device via the reserve eSIM connection.

Abstract: A method for restoration of a captured image includes: blurring the captured image based on removing high spatial frequency content and maintaining colour characteristics of the captured image; generating a global colour attention map corresponding to the blurred captured image, where the global colour attention map indicates spatial representation of colour composition among regions within the blurred captured image; splitting the captured image into a plurality of patches; extracting one or more task features from the plurality of patches, where the one or more task features indicate characteristics related to a corresponding task; and generating stitched features corresponding to the plurality of patches, respectively, based on correlating the one or more task features and the global colour attention map, where the stitched features indicate an integrated representation of the captured image based on a global context and the corresponding task.