Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating intertwined digital designs according to the visual order of structural graph nodes. In particular, in one or more embodiments, the disclosed systems generate, by at least one processor, a structural graph of a digital design that represents overlapping surfaces of objects in the digital design as nodes and object paths between the overlapping surfaces as edges. Further, the disclosed systems assign, by the at least one processor, a visual order to the nodes based on a configuration of the structural graph. Moreover, the disclosed systems generate, by the at least one processor, an intertwined digital design by ordering the overlapping surfaces of the objects in accordance with the assigned visual order of the nodes.

Abstract: In implementations of systems for visual reordering of partial vector objects, a computing device implements an order system to receive input data describing a region specified relative to a group of vector objects that includes a portion of a first vector object and a portion of second vector object. A visual order as between the portion of the first vector object and the portion of the second vector object within the region is determined. The order system computes a modified visual order as between the portion of the first vector object and the portion of the second vector object within the region based on the visual order. The order system generates the group of vector objects for display in a user interface using a render surface and a sentinel value to render pixels within the region in the modified visual order.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

Abstract: A biofuel includes a mixture of a gasoil generated from hydropyrolysis and hydroconversion of a solid biomass containing lignocellulose. The gasoil has a cetane index less than 46. The biofuel also includes a hydroprocessed ester fatty acid (HEFA) generated from hydrotreating a renewable resource having fats and oils. A cetane index of the biofuel is greater than 46.

Abstract: A data platform receives data associated with activities in an environment, generates a logical graph using at least a portion of the received data, the logical graph representative of launch behaviors of components in the environment, detects an anomaly based on the logical graph, and generates an alert based on the anomaly. In some embodiments, the data platform may provide data representative of a portion of the logical graph to a computer, the data configured to be processed by the computer to display a visualization of the portion of the logical graph.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may provide a client device a collection of data objects in a subset of the plurality of collections of data objects. The program may receive a selection of a data object in the collection of data objects. The program may determine a set of policies associated with the data object. The program may apply the set of policies on the data object. Based on the application of the set of policies on the data object, the program may determine whether to process the data object.

Abstract: Systems and methods include reception of a plurality of item descriptions associated with a respective hierarchical code which includes a plurality of group codes, extraction of a respective plurality of phrases from each item description, assignment, for each item description, a phrase embedding determined for each of the extracted respective plurality of phrases to each of the plurality group codes included in the hierarchical code associated with the item description, generation of a composite embedding for each of the plurality of group codes based on the phrase embeddings assigned to the group code, and storage of each composite embedding in association with the group code for which the composite embedding was generated.

Abstract: Apparatus for correcting machine learning model predictions and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive a cardiac signal having a plurality of segments, generate, for at least a segment of the plurality of segments, a label representing at least a signal feature, generate at least an automated annotation as a function of the label using an annotation machine learning model, generate, using a correction module, at least a correction upon detecting an absence of annotations, receive, using a user interface, an input from a user, create a user annotation within the cardiac signal using the input, update the cardiac signal and the annotation machine learning model as a function of the correction and the user annotation, and display, using the user interface, the updated cardiac signal to the user.

Abstract: A system, method, and device for representing a firewall configuration is disclosed. The method includes (i) generating a graph model using a model generator for a security policy configuration that includes a plurality of network parameters; and (ii) processing a query and generating a response using the graph model.

Abstract: A network controller communicates a wildcard domain name defined by a tenant and IP addresses of data centers for which a tenant has configured that wildcard to network elements of a network fabric through which the data centers are accessible. Each network element creates a rule to forward DNS requests with FQDNs that match the wildcard to each data center IP address. When a network element receives a DNS request indicating a FQDN that matches the wildcard, the network element forwards the DNS request to each data center IP address. Each data center element associated with one of the IP addresses receives the DNS request and determines if the FQDN can be resolved to an IP address in that data center. Data center elements for which domain name resolution is successful notify the network controller, which onboards the resource corresponding to the FQDN in that data center.

Abstract: The present invention relates to efficient deployment and utilization of Small Language Models (SLMs) in biomedical devices, nano-devices, and mobile portals. The proposed solution leverages Small Language Models (SLMs) to deliver efficient, real-time, and privacy-preserving AI capabilities in resource-constrained environments. This approach targets three critical domains—biomedical devices, nano-devices, and mobile portals—transforming their operations and enhancing user interactions.

Abstract: A vehicle occupant restraint system comprises a passenger airbag (10) which includes first and second inflatable chambers (24, 26), wherein the second chamber (26) is provided to cushion the head (28) of a vehicle occupant (14) associated with the passenger airbag (10). In a state of the passenger airbag (10) fully filled and arranged in a vehicle, the first chamber (24) has a higher internal pressure than the second chamber (26). In a baffle (20) of the passenger airbag (10), when viewed along a vehicle longitudinal direction (L), the first chamber (24) has a V shape with two arms (34) and a tip (38), the second chamber (26) being disposed between the arms (34) of the V, and the tip (38) of the V facing downwards with respect to a vehicle vertical direction (H).

Abstract: A biofuel includes a mixture of a gasoil generated from hydropyrolysis and hydroconversion of a solid biomass containing lignocellulose. The gasoil has a cetane index less than 46. The biofuel also includes a hydroprocessed ester fatty acid (HEFA) generated from hydrotreating a renewable resource having fats and oils. A cetane index of the biofuel is greater than 46.

Abstract: Systems and methods include receipt of search terms, determination of an embedding for each of the search terms, generation of a composite embedding based on the determined embeddings, determination of similarities between the composite embedding and second composite embeddings associated with each of a plurality of hierarchical group codes, determination of a hierarchical group code of the plurality of hierarchical group codes based on the determined similarities, and generation of search results based on the search terms and the hierarchical group code.

Abstract: A method includes generating a reference voltage by periodically switching direction of current flow in a diagnostic sensor, where the reference voltage is a non-sinusoidal differential voltage of which an amplitude alternates between minimum and maximum values, and where the reference voltage includes a diagnostic sensor output voltage component responsive to an external magnetic field and a diagnostic sensor offset voltage component responsive to a mismatch of the diagnostic sensor. The method also includes amplifying the reference voltage to produce an amplified reference voltage, where the amplified reference voltage is a differential voltage having an amplifier offset voltage component. Additionally, the method includes demodulating the amplified reference voltage by filtering the diagnostic sensor offset voltage component and the amplifier offset voltage component to produce a demodulated voltage. Also, the method includes digitizing the demodulated voltage to produce a digitized voltage.

Abstract: Embodiments of the present disclosure relate to a base station and method for communication in a communication network. The method comprising signalling a DMRS-configuration or SRS-configuration to at least one UE. The DMRS-configuration comprises signalling at least one antenna port number from multiple antenna port numbers, each antenna port number indicates location of occupied subcarriers and null subcarriers associated with a DMRS transmission of the at least one UE. The SRS-configuration comprises signalling of parameters associated with a time, a frequency and a code. The method also comprises receiving a data and DMRS signals, or SRS signals corresponding to the at least one UE. Further, grouping a subset of the signals corresponding to a subset of antennas to generate a plurality of signal groups. Next, performing first stage filtering at RU followed by second stage filtering at DU of the signals associated with each signal groups to obtain filtered signals.

Abstract: Digital representation techniques of intertwined vector objects are described. These techniques support a non-destructive representation of intertwined digital objects. Additionally, these techniques support editing of overlaps to change a visual ordering in an intuitive and efficient manner. Optimization operations are also implemented that remove redundancy, combine overlaps into a single representation, address visual artifacts at borders between the intertwined objected, and so forth.

Abstract: Described herein are systems and methods for responding to user input using an agent orchestrator. A system may include a cardiac catheter, a user interface, and a computing device configured to receive, from the user interface, a first user input, receive, from the catheter, the procedure data, determine, using an agent orchestrator, a first agent selection datum, wherein determining the first agent selection datum includes generating the first agent selection datum as a function of the first user input using a trained agent selection machine learning model, using a first agent corresponding to the first agent selection datum, determine a first agent output, wherein determining the first agent output includes inputting into the first agent the procedure data, and receiving, as an output from the first agent, the first agent output, and display, using the user interface, the first agent output.

Abstract: Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.

Abstract: A circuit includes an anisotropic magnetoresistance (AMR) sensor; an operational amplifier; and a calibration circuit. The AMR sensor has a first terminal, a second terminal, a third terminal, and a fourth terminal. The operational amplifier has a first terminal, a second terminal, a third terminal, and a fourth terminal. The first terminal of the operational amplifier is coupled to the second terminal of the AMR sensor. The second terminal of the operational amplifier is coupled to the third terminal of the AMR sensor. The calibration circuit is coupled to the first terminal of the operational amplifier. The calibration circuit is configured to provide an adjustable offset trim voltage at the first terminal of the operational amplifier to cancel out an offset voltage generated by the AMR sensor.