Abstract: Systems and methods are described for generating a blockchain-based user profile. In various aspects, one or more blockchain IDs associated with a user is received, where each blockchain ID is associated with a corresponding blockchain. One or more blockchain transactions are identified that are associated with the one or more blockchain IDs, where a trust profile for the user can be generated based on the one or more blockchain transactions. The trust profile can include user information determined from the one or more blockchain transactions.

Abstract: Disclosed systems and methods incorporate machine learning to assess damage to vehicles. An example method includes: accessing image data representing one or more digital images of damage to a vehicle; selecting, using one or more processors, an applicable machine learning algorithm from a plurality of different trained machine learning algorithms, wherein the plurality of different machine learning algorithms are trained for respective different combinations of one or more of vehicle make, vehicle model, vehicle year, or area of damage; processing the image data, with the applicable machine learning algorithm using one or more processors, to determine assessed damage for the vehicle; accessing actual damage information for the vehicle; determining, using one or more processors, differences between the actual damage and the assessed damage; and iterating, using one or more processors, the applicable machine learning algorithm based on the differences to improve its damage assessment accuracy.

Abstract: An apparatus may map one or more fields from a plurality of tables having a first table type to one or more mapped fields of a single table having a second table type and index the one or more mapped fields to correspond to a single index for the single table having the second table type. The apparatus may execute a first query using the single index corresponding to the one or more mapped fields to output a result for the first query. The apparatus may execute a second query for search activity that has occurred on the database since a last update to the single index and combine the result for the first query with the search activity that has occurred on the database since the last update to the single index to output a combined result based on the second query.

Abstract: An apparatus may map one or more fields from a plurality of tables having a first table type to one or more mapped fields of a single table having a second table type and index the one or more mapped fields to correspond to a single index for the single table having the second table type. The apparatus may execute a first query using the single index corresponding to the one or more mapped fields to output a result for the first query. The apparatus may execute a second query for search activity that has occurred on the database since a last update to the single index and combine the result for the first query with the search activity that has occurred on the database since the last update to the single index to output a combined result based on the second query.

Abstract: Methods and systems for recommending safe vehicle seats and/or predicting the replacement time of vehicle seats. The systems and methods may include (1) training a machine learning model using a set of characteristics of previously recommended vehicle seats to generate a vehicle seat recommendation score for one or more vehicle seats; (2) receiving a request for a vehicle seat recommendation; (3) receiving input data; (4) determining a set of characteristics of the input data; (5) applying the set of characteristics of the input data to the machine learning model to generate a vehicle seat recommendation score for the one or more vehicle seats; (6) ranking the one or more vehicle seats by vehicle seat recommendation score to generate a vehicle seat recommendation list; and/or (7) presenting the vehicle seat recommendation list to a client device.

Abstract: A display subsystem for a virtual image generation system for use by an end user comprises a planar waveguide apparatus, an optical fiber, at least one light source configured for emitting light from a distal end of the optical fiber, and a collimation element mounted to a distal end of the optical fiber for collimating light from the optical fiber. The virtual image generation system further comprises a mechanical drive assembly to which the optical fiber is mounted to the drive assembly. The mechanical drive assembly is configured for displacing the distal end of the optical fiber, along with the collimation element, in accordance with a scan pattern. The virtual image generation system further comprises an optical waveguide input apparatus configured for directing the collimated light from the collimation element down the planar waveguide apparatus, such that the planar waveguide apparatus displays image frames to the end user.

Abstract: Methods and systems for recommending safe vehicle seats and/or predicting the replacement time of vehicle seats. The systems and methods may include (1) training a machine learning model for predicting a replacement time of one or more vehicle seats using (i) a set of characteristics of a previously recommended vehicle seat and/or (ii) replacement times for the previously recommended vehicle seat; (2) receiving input data related to a previously recommended vehicle seat; (3) determining a set of characteristics of the input data; (4) applying the set of characteristics of the input data to the machine learning model to determine the predictive replacement time for replacing the one or more vehicle seats; and/or (5) providing an indication of the predictive replacement time for display on a client device.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, an identity of a vehicle operator may be determined and a vehicle operator profile and/or operating data regarding autonomous operation features of the vehicle may be received after the vehicle operator opts into a rewards program and agrees to share their data. Autonomous operation and vehicle operator risk levels associated with operation of the autonomous or semi-autonomous vehicle may be determined. Based upon the risk levels and/or comparison thereof, one or more autonomous operation features may be disengaged. A preparedness level of the vehicle operator to assume or reassume control of operating the vehicle is determined prior to disengagement. If satisfactory, an alert is presented to the vehicle operator prior to disengagement of the autonomous operation features.

Abstract: A computer-implemented method of monitoring water usage includes generating and receiving first water usage data indicating a first plurality of water usage events associated with a structure, each of the first plurality of water usage events being associated with a respective location and/or entity. The method may also include generating, based upon the first water usage data, a baseline water usage model representing water usage over time locations and/or entities, and generating second water usage data indicating a second plurality of water usage events associated with the structure, each of the second plurality of water usage events being associated with a respective location and/or entity. The method may also include detecting, based upon the second water usage data and the baseline water usage model, anomalous water usage associated with a particular location and/or entity, and causing an indication of the anomalous water usage to be presented to a user.

Abstract: A system for detecting water damage to a structure may include a plurality of energy-harvesting sensors on or within the structure, each sensor being configured to (i) generate sensor data indicative of one or more characteristics of air, construction materials, and/or water within the structure and (ii) generate power for operating the sensor responsively to an external stimulus other than an electrical power source. One or more processors of the system receive sensor data generated by the energy-harvesting sensors, detecting water damage to the structure by analyzing at least the sensor data, and cause an indication of the detected water damage to be presented to a user.

Abstract: One implementation of the present disclosure is a system including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a selection including a context and a twin function and generate an operation to monitor a graph based on the context, the operation identifying whether one or more new events are added to the graph, the one or more new events affecting a processing result. The instructions cause the one or more processors to cause the twin function to execute responsive to identifying the one or more new events added to the graph that affect the processing result, execute the twin function based on the one or more new events and the context to generate the processing result.

Abstract: In a computer-implemented method of detecting or predicting water damage within a structure, sensor data indicative of one or more conditions associated with the structure is generated. The condition(s) include at least one characteristic of air, construction materials, or water within the structure. The method may also include receiving the sensor data and data indicative of one or more other factors associated with an interior of the structure, detecting or predicting water damage to the structure by jointly analyzing the sensor data and the data indicative of the one or more other factors, and causing an indication of the detected or predicted water damage to be presented to a user.

Abstract: Systems and methods are presented herein for dynamic mapping and integration between one or more software applications via a meta-model definitional application platform. This may comprise receiving from a target system an at least one input data object or request; loading an at least one meaningful data object from a meta-model definitional application platform into a memory, the at least one meaningful data object containing one or more definitions; identifying, via a queue service manager, an integration type definition of the at least one input data object or request; loading, based on the integration type definition, the target specific mapping definition; preparing the at least one input data object or request for processing; generating an integration worker for transforming in sequence of the target specific mapping definition, where the transformations are done according to the one or more definitions; generating and transmitting, an at least one output data object.

Abstract: In a computer-implemented method of detecting or predicting water intrusion into a structure from an external environment, data indicative of one or more factors associated with the external environment is received. The method also includes detecting or predicting water intrusion into the structure by analyzing at least the data indicative of the one or more factors associated with the external environment, and causing an indication of the detected or predicted water intrusion to be presented to a user.

Abstract: A method for performing monitoring, commissioning, upgrading, analyzing, load balancing, remediating, and optimizing the operation, control, and maintenance of a plurality of remotely located RF signal repeater devices in a wireless network arranged to operate as an Internet of Things (IoT) network. Electronic RF signal repeater devices are employed as elements in the wireless network and communicate wireless radio frequency (RF) signals for a plurality of users. An RF signal repeater device may be arranged to operate as a donor unit device that provides RF signal communication between one or more remotely located wireless base stations, or other donor unit devices on the wireless network. Also, an RF signal repeater device may be arranged to operate as a service unit device that provides wireless RF signal communication between one or more user equipment devices (UEs) and a donor unit device or a wireless base station.

Abstract: Vehicles may have autonomous capabilities that permit the vehicle to navigate according to varying levels of participation by a human operator. A human operator may be associated with a driving capability profile and the environment surrounding a vehicle may be associated with an environmental risk profile. A vehicle, or another party in communication with a vehicle, may determine whether, based on the human operator's driving capability profile and the environmental risk profile, it is likely that the vehicle will be navigated more safely if there is a change to the vehicle's autonomous capabilities and a corresponding change to the human operator's driving responsibilities. If it is determined that a change in autonomous vehicle capability is likely to increase safe navigation of the vehicle, an insurer may offer an insurance premium cost reduction if the human operator agrees to the proposed change in autonomous capabilities.

Abstract: A system includes a computing device comprising a memory storing instructions configured to cause a processor to receive: purchase data associated with products purchased by a user, online activity data performed by the user and other users and associated with information pertaining to the products, and vendor information comprising retail sales data, after-market sales data, and product availability associated with the products. The processor determines one or more values of the products based on the purchase data, the online activity data, and the vendor information and whether the purchased products correspond to specialty products based on the purchase data, the online activity data, and the values of the products. The processor may then send a notification to the user comprising an offer for insurance for the products in response to determining the products correspond to specialty products.

Abstract: Systems and methods for providing real-time feedback to a driver of a vehicle based on real-time datasets is disclosed. The systems and methods include obtaining one or more sets of real-time data associated with a vehicle. Performing one or more operations on the set of real-time data, wherein the one or more operations are based on the set of real-time data. Generating, a feedback alert based on results of the one or more operations and one or more detected real-time behaviors of the vehicle. Providing the feedback alert for presentation at a user interface on-board the vehicle. The real-time data may include contextual data, environmental data, operating data, data for a plurality of drivers, or combinations thereof.

Abstract: The present invention is directed to, in part, fused heteroaryl compounds and compositions useful for preventing and/or treating a disease or condition relating to aberrant function of a voltage-gated, sodium ion channel, for example, abnormal late/persistent sodium current. Methods of treating a disease or condition relating to aberrant function of a sodium ion channel including neurological disorders (e.g., Dravet syndrome, epilepsy), pain, and neuromuscular disorders are also provided herein.

Abstract: The present invention generally relates to golf bags having a lightweight and durable top frame assembly. The lightweight top frame assembly can have handle and leg sub-assemblies. Three-dimensional printing methods can be used to form the top frame assembly or any portion thereof. The golf bags may include a cord assembly extending across the top frame to form one or more club dividers for organizing golf clubs.