Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.

Abstract: An energy dissipation activation management (EDAM) system for a vehicle includes at least one requestor system, at least one dissipator system, and an EDAM module. The at least one requestor system is configured to generate a request to burn energy stored in at least one battery pack of the vehicle. The at least one dissipator system is configured to burn energy stored in the at least one battery pack. The EDAM module is configured to receive the request, determine a status of the at least one requestor system, and based on the request and the status of the at least one requestor system, signal the at least one dissipator system to burn energy stored in the at least one battery pack.

Abstract: An example hub and registry module can be programmed to determine if a plurality of micro front-ends is conformant with one or more experience rules, register one or more of the plurality of micro front-ends in response to determining that the one or more micro front-ends are conformant with the one or more experience rules, compose one or more micro front-ends into an experience for a user, and monitor performance of the one or more micro front-ends within the experience.

Abstract: A system including at least one processor and non-transitory computer-readable storage storing instructions that, when executed by the at least one processor, cause the system to: generate a context configuration module programmed to compose a user experience based on a user context and a registry of micro front-ends; and generate a rendering module programmed to render one or more micro front-ends from the registry of micro front-ends into a framework to deliver the user experience.

Abstract: A system for detecting actuator misconfiguration in a vehicle includes actuators and a control module. Each actuator is assigned a unique identifier. The control module includes interface ports in communication with the actuators via serial data links. Each interface port is in communication with two of the actuators. Each actuator is in communication with two of the interface ports. The control module is configured to receive a message from an actuator installed at a location of the vehicle, the message including the unique identifier assigned to the actuator, compare the received unique identifier assigned to the actuator to a stored identifier specific to the location of the vehicle, and in response to the received unique identifier being different than the stored identifier, transmit an error signal indicating a failure associated with the actuator. Other examples systems and methods for detecting actuator misconfiguration in vehicles are also disclosed.

Abstract: A method of determining haematocrit or haemoglobin concentration of a blood sample comprises calculating, based on a plurality of complex capacitance values of the blood sample, a complex capacitance at a predetermined imaginary component value, each of the plurality of complex capacitance values of the blood sample having a corresponding frequency; and determining the haematocrit or haemoglobin concentration based on the calculated complex capacitance or a real component of the calculated complex capacitance.

Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.

Abstract: The present invention relates to compositions suitable for use in immunoassays and method of conducting immunoassays using compositions of the invention. The present invention relates to compositions comprising block co-polymers and/or chaotropic agents which are useful as buffer, diluent and/or washing solutions in immunoassays and immunoassay methods.

Abstract: A computer-implemented method for determining a frequency response of an audio system, the method comprising: training a Generative Adversarial Network, GAN, discriminator on a first training dataset comprising measured frequency responses of reference audio systems to a test signal and an evaluator scoring of the audio system to predict a predicted scoring for the reference audio systems, training a GAN generator on a second training dataset comprising evaluator scorings to predict a predicted frequency response for the reference audio systems, wherein training the GAN generator comprises processing the predicted frequency response by the trained GAN discriminator to predict a predicted scoring; and processing a production dataset comprising an input scoring of a production audio system by the trained GAN generator to predict a frequency response of the production audio system.

Abstract: A system for calibrating a headphone fixture includes one or more headphones disposed at the headphone fixture and a controller configured to generate a test electroacoustic performance signal based on an audio signal obtained from the one or more headphones, obtain a reference electroacoustic performance signal associated with one or more test subjects and the one or more headphones, determine an electroacoustic performance difference signal based on the test electroacoustic performance signal and the reference electroacoustic performance signal, define a compensation filter based on the electroacoustic performance difference signal, and determine whether the one or more headphones satisfy a performance criteria based on one or more additional test electroacoustic performance signals and the compensation filter.

Abstract: Systems, computer program products, and methods are described herein for centralized analysis and monitoring of process data via baseline data mapping. The system is configured to retrieve a plurality of backend processes and store baseline data, wherein the baseline data comprises data from a database indicating a status of each of a plurality of enabled backend processes. The system is further configured to monitor the plurality of backend processes at a predetermined interval, and in response to monitoring, store, in a database, monitoring data, wherein the monitoring data comprises data indicating a status for each of the plurality of backend processes. The system is further configured to access the database, at the predetermined interval, to compare the status for each of the plurality of backend processes to the corresponding baseline data and generate at least one of a report and an update to a process status portal.

Abstract: Systems and methods for generating response records for individual users based on user responses to prompts. Exemplary implementations may: provide prompts to individual users, receive user input from individual ones of the users indicating responses to the one or more provided prompts; determine, based on the received user input from individual ones of the users, response information for individual ones of the responses to the prompts; aggregate the individual responses and corresponding response information to generate response records for individual ones of the users; store the response records for individual ones in the users; and/or other exemplary implementations.

Abstract: A computer-implemented method for determining a scoring indicative of a sound quality of an audio system, the method comprising: sending at least one test signal to at least one reference audio system; measuring a first frequency response of the reference audio system to the test signal; receiving at least one reference scoring indicative of a sound quality of the reference audio system; supplying a training dataset comprising the first frequency response and the reference scoring to an artificial neural network; training the artificial neural network on the training dataset to predict a scoring for the audio system; sending at least one test signal to at least one production audio system; measuring a second frequency response of the production audio system; and processing an input dataset comprising the second frequency response by the artificial neural network to predict a scoring indicative of a sound quality of the production audio system.

Abstract: A system and method for implementing and executing a blockchain-based electronic document vault for electronic document storage, access and management. As such, users may define, submit, deploy, and execute their electronic document storage, access and management in a fully transparent and secure fashion. Validating the electronic document and generating a document hash leads to the minting and tokenizing using an NFT of the encrypted electronic document in combination with an associated document hash providing for the formation of a digital document vault which is one of a plurality of digital document vaults of an electronic storage vault residing on a private blockchain. These individual digital document vaults of the electronic storage vault provides for the security of the electronic document (e.g., prevent unauthorized modifications) and controls access to only authorized individual(s) after their authentication.

Abstract: Systems, computer program products, and methods are described herein for automated failure resolution in virtual machines. The present disclosure is configured to provide a one-click restart automation across both lower and production environments for various virtual machines. This leads to consistent and predictable virtual machine outages and leverages a secure application programming interface service for reliable, automated virtual machine health validation. The process is standardized, centralized, and updatable or upgradable over time. In addition, the process is also transparent, in that success or failure reporting with error codes is provided via detailed notification processing architecture.

Abstract: A method by smart mobility platform includes a mobile application executing on a mobile device, an authentication server, a mobile application server, and a driving telemetry service. The mobile application registers and activates a user account for driving monitoring and rewards. Trip detection is enabled and raw data is transformed to driving factors by the driving telemetry service. The mobile application server converts the driving factors to a safe driving score. The score may be combined with a customer value to determine reward payout. The platform authenticates users and validates requests using electronic mail and short messaging services to ensure privacy and security.

Abstract: A system of orchestrating a peer-to-peer network of vehicles for data transmission comprises a peer-to-peer (p2p) network orchestrator device and a first computing device associated with a vehicle. The p2p network orchestrator device receives vehicle data that includes locations and wireless fidelity (WiFi) capability indicators of vehicles. The p2p network orchestrator device generates a security token for each vehicle. The p2p network orchestrator device establishes a blockchain ledger that includes the vehicle data and the security tokens. The first computing device receives a copy of the blockchain ledger. The first computing device receives, from a second computing device, a request to forward a data packet to a base station, the request includes a security token of a second vehicle. The first computing device determines that the security token is valid. In response, the first computing device accepts the data packet and forwards it to the base station.

Abstract: A system for road accident avoidance receives sensor data from computing devices associated with vehicles traveling on a road. The system communicates the sensor data to a blockchain network as blockchain records. The system determines that the sensor data includes an indication of a road accident. The system determines a location of the road accident from the sensor data. The system communicates, to the blockchain ledger, data that indicates the location of the road accident. The system identifies one or more vehicles within a threshold distance of the road accident that are traveling toward the road accident. The system communicates an alert signal that comprises the location of the road accident to each vehicle. The system determines a routing recommendation for each vehicle based on the location of the vehicle and the location of the road accident. The system communicates the routing recommendation to the vehicle.

Abstract: Systems and methods for providing a user interface that facilitates application development. The applications may utilize one or more underlying machine-learning models to perform application functions. Exemplary implementations may: effectuate presentation of an application development interface to developers through client computing platforms associated with the developers; receive, from client computing devices, input information indicating feature values entered and/or selected by the developers via the user interface fields; responsive to receipt of first input information, configure a first application in accordance with the feature values included in a first feature values set; provide the configured application for user by one or more users; and/or other exemplary implementations.

Abstract: An example system can include: at least one processor; and non-transitory computer-readable storage storing instructions that, when executed by the at least one processor, cause the system to: provide an individualized contextual module programmed to capture individual information associated with a user, the individual information including personal information about the user; provide an artificial intelligence module programmed to use artificial intelligence to tailor an experience for the user based upon the personal information; and provide a sub-component assembly module programmed to select sub-components based upon the experience to generate a contextual interface for the user.