Abstract: Examples provide systems and methods for detecting vehicle tamper events without relying on a clear line-of-sight. Namely, examples leverage an intelligent insight that many types of vehicle tamper events have unique audio signatures. Accordingly, examples detect/classify vehicle tamper events based on these unique audio signatures. Moreover, examples can verify these audio-based classifications by analyzing acceleration-related data (e.g., relative acceleration data for a body of a vehicle, relative jerk data for a body of a vehicle, etc.) to determine suspicious movement of a body of a vehicle during a potential/suspected vehicle tamper event. This acceleration-related verification step can reduce occurrence of false positive audio-based classifications caused by other noise events proximate to the vehicle that have similar audio signatures to vehicle tamper events (e.g., drilling or other noise from a construction site, rain, etc.).

Abstract: Vehicles, vehicle seat arrangements, and methods for manufacturing modal blocks for use with vehicle seats in vehicles are provided. A method for manufacturing a modal block for use with a vehicle seat in a vehicle includes identifying a frequency range of output frequencies of the vehicle; determining a natural frequency of the vehicle seat; designing a modal block configured to adjust the natural frequency of the vehicle seat; and locating the modal block between the vehicle and the vehicle seat to adjust the natural frequency of the vehicle seat.

Abstract: Techniques and devices for device deduplication between home networks are described for generating a unique identifier in which an electronic device detects a factory reset and in response to the detecting, generates the unique identifier. The electronic device sends the unique identifier to a first cloud service, the sending being effective to cause the first cloud service to forward the unique identifier to a second cloud service, and the electronic device sends the unique identifier to a hub device in a Matter network, the sending being effective to cause the hub device to forward the unique identifier to the second cloud service.

Abstract: The present invention provides an edible soft dental chew for preventing or inhibiting dental plaque accumulation and/or dental calculus formation in a non-human animal. The edible soft dental chew includes an edible body that includes astaxanthin. The edible body has an average Shore A hardness of less than about 60. The present invention further provides a method of preventing or inhibiting dental plaque accumulation and/or dental calculus formation in a subject in need thereof.

Abstract: A high dynamic range (HDR) imaging system is disclosed in which the speed of digitizing and storing image data is increased by efficient signal management, without a need for additional resources. By managing the data transfer process in a successive approximation register (SAR) analog-to-digital converter (ADC) circuit, using techniques such as synchronization of control signals, multi-stage memory, and time-multiplexing, higher frame rates can be achieved without relying on increasing bandwidth with additional channels, or increasing power consumption or complexity of the imaging system.

Abstract: The disclosed technology is generally directed to a distributed query-and-command system. In one example of the technology, in a trusted execution environment (TEE) of a first node, database code of the first node and distributed ledger code of the first node is executed, such that execution of the distributed ledger code of the first node instantiates a first instance of a distributed ledger of a consortium blockchain, and such that execution of the query-and-command code of the first node instantiates a first instance of a query-and-command system. The consortium blockchain is distributed among a plurality of nodes, and the query-and-command system is distributed among the plurality of nodes. A first transaction that is associated with modifying the query-and-command system is received. The first transaction is executed. Changes associated with the first transaction to the distributed ledger are persisted.

Abstract: An RF charging system for implantable medical devices. The RF charging system includes a radio frequency (RF) signal, a first antenna configured to transmit the RF signal, a second antenna configured to receive the RF signal transmitted by the first antenna, tune characteristics of the RF signal, and improve power transfer with impedance matching circuitry, an RF to direct current (DC) converter configured to convert the RF signal of the second antenna into a DC signal, and a battery management circuit configured to receive the DC signal and provide voltage to a battery.

Abstract: In one embodiment, systems and methods for implementing a soft-duplex architecture utilizing a shared spectrum that may selectively and alternately be used to communicate upstream and downstream signals, and where one subscriber may receive a downstream signal from a device over the shared spectrum while another subscriber may deliver an upstream signal to the same device over the shared spectrum.

Abstract: Systems and methods are provided for monitoring and detecting unauthorized access to a vehicle. The systems and methods may receive surveillance data of the vehicle using a sensor. The systems and methods may detect, from the surveillance data, an intrusion to the vehicle by an entity. The systems and methods may transition the sensor out of a minimal power state upon detecting the intrusion to the vehicle. The systems and methods may perform a scan of the vehicle to obtain information indicating a type of the intrusion using the sensor. The systems and methods may determine, from the scan, the type of the intrusion to the vehicle is a threat intrusion by determining the entity causing the intrusion is unauthorized and the entity is performing an unauthorized action. The systems and methods may perform a safety action to interfere with the threat intrusion.

Abstract: A method for planning and cost engineering using an artificial intelligence may be provided. The method may include receiving one or more input documents, the input documents including at least architectural design information. The method may further include converting the input documents into an image file and automatically setting a scale unit based on at least one known measurement of the input documents. The method may further verify the scale unit, automatically measure one or more lengths and one or more areas of the image file based on the architectural design information; and automatically label the one or more measured lengths and one or more measured areas on the image file to generate a labeled image.

Abstract: Boat centering kits, boat centering systems, and methods of the like are described. An example boat centering kit has a first support member, a first pivot, a first alignment member, a second alignment member, a second support member, a second pivot, a third alignment member, and a fourth alignment member. The first pivot is attachable to the first support member and the second pivot is attachable to the second support member. The first alignment member and the second alignment member are attachable to the first support member. The third alignment member and the fourth alignment member are attachable to the second support member.

Abstract: Systems and methods for troubleshooting issues based on historical resolution data. In one implementation, the disclosed system includes at least one processor and at least one non-transitory memory containing software code configured to cause the processor to: receive source data from a plurality of data sources; extract a plurality of keywords from the source data; store the plurality of keywords in a database; receive a natural-language user issue input from a chatbot; determine whether the received user input matches the keywords in the database, wherein a comparison result is inputted into a trained model; input the user issue input into the trained model; in response to the determining, transmit the resolution from the trained model to the chatbot.

Abstract: A machine gun comprising a gun housing; a rotor assembly positioned within the gun housing; a barrel cluster including a plurality of barrels extending forward from the rotor assembly; one or more vents providing a path for expulsion away from the rotor assembly of gases emanating from a cartridge chambered in one of the plurality of barrels; and one or more of a rotor lock mechanism, a feed mechanism, a delinking and transfer mechanism, a searing mechanism, a drive system, a self-contained hardware barrel clamp, a threaded adapter barrel clamp, integrated mounts, and/or multiple feed inlet locations.

Abstract: A gutter system having a gutter, a plurality of brackets, and a cover. The plurality of brackets comprise a support portion and a connector portion for operatively coupling the bracket to the gutter and the cover. The support portion comprises a cover support portion that is operatively coupled to a contoured nose of the cover and a gutter support portion that is operatively coupled to a lip of the gutter. The connector portion comprises a gutter hanger portion that is configured to receive a portion of a rear wall of the gutter and a cover engaging portion that is configured to receive a portion of the cover. The cover comprises a plurality of louvers having one or more louver arms that extend towards an interior of the gutter when the cover is operatively coupled to the gutter.

Abstract: A tool for installing a blind fastener including a bolt and a nut includes a collet, a socket assembly, a drive body and a mode clutch. The collet is configured to selectively engage a tool engagement portion of the nut. The socket assembly includes a socket housing and a plurality of rollers. The socket housing defines a bore disposed about the axis. A surface of each roller is configured to engage a cylindrical tool engagement portion of the bolt within a bore to rotate the bolt about an axis. The drive body is coupled to the socket housing and configured to rotate the socket housing about the axis. The mode clutch is operable in an engaged mode in which the socket housing is coupled to the collet for common rotation about the axis and a disengaged mode in which the socket housing is rotatable relative to the collet.

Abstract: Biodegradable melanoidin polymers of varying solubility prepared from non-fossil fuel-based ingredients by a method that includes at least the following steps: a) mixing by application of shear force a quantity of a reducing carbohydrate source and a quantity of an amino group-containing compound to provide a mixture, wherein neither the carbohydrates nor the amino acid group compounds are isolated from fossil fuels; b) heating the mixture for a sufficient amount of time at a sufficient temperature and pressure with sufficient moisture so that a Maillard reaction occurs between the amino groups and the reducing carbohydrate source provides a Maillard reaction product that will effectively yield a bioplastic; c) stopping the reaction before it proceeds significantly beyond the melanoidin-formation steps of the Maillard reaction to limit the formation of acrylamides; and d) vacuum-dehydrating the bioplastic reaction product under reduced pressure.

Abstract: A vehicle fragrance device has a fragrance assembly comprising a fragrance unit with a fragrance medium, a carrier for carrying the fragrance unit and a sealing unit. An actuating assembly comprises a movable actuator that triggers the sealing unit to switch the fragrance assembly between a sealed state and a non-sealed state. After triggering the sealing unit, the movable actuator disengages from the sealing unit and the fragrance assembly remains in the triggered state.

Abstract: A system and method for predicting and optimizing an athlete's race performance using a wearable device is disclosed. The method involves measuring intermediate times at predetermined distances utilizing an inertial sensor and/or positional sensor within the wearable device. A race profile, modeled as a non-linear function of time over distance, is retrieved from stored historical race data of multiple athletes. The system determines a predicted race time based on the retrieved race profile and real-time performance data, calculates a probability score indicating the likelihood of achieving a preset target time, and provides real-time feedback through the wearable device. The system further incorporates machine learning models to classify race profiles, refine predictions based on environmental conditions, and adapt pacing recommendations based on detected fatigue indicators.

Abstract: A computer-implemented approach for assessing and managing risk of a cloud service is disclosed. Cloud computing resource data for a cloud service is received. A risk assessment framework is applied to the cloud computing resource data. The risk assessment framework includes a set of security criteria including a subset of data plane criteria and a subset of control plane criteria. The risk assessment framework assigns an individual risk score to each security criteria of the set. The individual risk scores of the set of security criteria are aggregated to generate an overall risk score for the cloud service. A graphical user interface including the overall risk score is visually presented via a display. A computer-automated risk management operation that automatically adjusts security settings of the cloud service based at least on the cloud computing resource data for the cloud service is executed to enhance security of the cloud service.

Abstract: Natural language generators (NLGs), including large language models, are powerful technologies that are in widespread use. However, typically, as NLGs become more powerful and sophisticated, their correspondingly increased complexity requires substantial processing resources. The present disclosure provides automated techniques for dynamically routing queries between at least two NLGs based on an assessment of query difficulty. Less difficult queries can be routed to a less resource intensive NLG, while more difficult queries are routed to a more sophisticated, but more resource intensive NLG. Routing less difficult queries to a less resource intensive model can thus conserve computing resources, while providing little to no drop in response quality, and in some cases providing improved response quality.