Abstract: Embodiments of a risk assessment and intervention platform architecture are disclosed, where the risk assessment and intervention platform can predict and reduce negative medical outcomes. Embodiments of the risk assessment and intervention platform may include components with controls or interface elements to receive instructions from clinicians to set parameters for interventions and then to enroll, track, and monitor patient activity through the medical treatment plans. Embodiments of a scoring engine are configured based on a specific medical treatment plan and intervention protocols to initiate intervention as needed.

Abstract: A core-shell microcapsule comprising a core containing a functional ingredient and a shell surrounding or at least partially surrounding said core, the shell comprising a thermosetting resin formed by the reaction of shell-forming monomers comprising a polyamine and a material comprising a plurality of olefinic double bonds capable of reacting with the polyamine.

Abstract: Portable fitness monitoring methods are disclosed. In an embodiment, a portable fitness monitoring method includes a method for providing audible output to a user during an athletic activity using a portable fitness monitoring device. The method includes the steps of receiving an audio feedback file package that includes a first audio feedback file, updating the audio feedback file package, and processing the updated audio feedback file package to provide audible output to the user through an audio output device during the athletic activity.

Abstract: The present invention relates to a method for product identification comprising subjecting a sample to cyclic voltammetry, wherein the sample is subjected to a plurality of voltammetric cycles to obtain a data set for each cycle and wherein the data sets comprise data points; and comparing the data set for each cycle with a data set for a corresponding cycle of at least one known product to determine whether the sample is the known product. The present invention further relates to a method for determining a profile for a known product, which may be used in determining the identity of a sample.

Abstract: A measuring wheel may include a wheel assembly comprising a first wheel and a second wheel, a handle operably coupled to a shaft, a housing to which the shaft and the wheel assembly are operably coupled, and a fixed stand disposed at a portion of the housing substantially between the first and second wheels.

Abstract: An apparatus comprises processing circuitry 14 to perform data processing in response to instructions, the processing circuitry supporting speculative processing of read operations for reading data from a memory system 20, 22; and control circuitry 12, 14, 20 to identify whether a sequence of instructions to be processed by the processing circuitry includes a speculative side-channel hint instruction indicative of whether there is a risk of information leakage if at least one subsequent read operation is processed speculatively, and to determine whether to trigger a speculative side-channel mitigation measure depending on whether the instructions include the speculative side-channel hint instruction. This can help to reduce the performance impact of measures taken to protect against speculative side-channel attacks.

Abstract: A method for determining a trust indicator is provided. The method may include interpreting, via an Internet of Things Universal Identifier (IoT UID) processing circuit, an IoT UID corresponding to a device and identifying, via a record management circuit and based at least in part on the IoT UID, a record in a database corresponding to the device. The method may further include determining, via a trust analysis circuit and based at least in part on the record, a risk indicator of the device and transmitting, via an indicator provisioning circuit, the risk indicator.

Abstract: A method, system, and computer-usable medium for analyzing security data formatted in STIX™ format. Data related to actions performed by one or more users is captured. Individual tasks, such as analytics or extract, transform, load (ETL) tasks related to the captured data is created. Individual tasks are registered to a workflow for executing particular security threat or incident analysis. The workflow is executed and visualized to perform the security threat or incident analysis.

Abstract: A storage compartment for a vehicle includes a body defining a sterilization volume configured to receive an item to be sterilized. The body includes a lower wall, and a side wall extending from the lower wall. A lid is coupled with the at least one of the walls and is configured to selectively close the sterilization volume. A lighting assembly is provided, to direct emitted light into the sterilization volume.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting an optimal feature point in a continuous domain for a group of agents. A computer-implemented system obtains, for each of a plurality of agents, respective training data that comprises a respective utility score for each of a plurality of discrete points in the continuous domain. The system trains, for each of the plurality of agents and on the respective training data for the agents, a respective neural network that is configured to receive an input comprising a point in the continuous domain and to generate as output a predicted utility score for the agent at the point.

Abstract: An encapsulated perfume composition comprising a slurry of core-shell microcapsules in a suspending medium, the core comprising at least one perfume ingredient, and the shell comprising a thermosetting resin formed by the reaction of shell-forming materials selected from monomers, pre-polymers and/or pre-condensates, and wherein the encapsulated perfume composition comprises a polymeric stabilizer that is a reaction product of a polymeric surfactant, and a silane that contains functional groups capable of forming covalent bonds with the shell.

Abstract: Mechanisms are provided to determine a susceptibility of a trained machine learning model to a cybersecurity threat. The mechanisms execute a trained machine learning model on a test dataset to generate test results output data, and determine an overfit measure of the trained machine learning model based on the generated test results output data. The overfit measure quantifies an amount of overfitting of the trained machine learning model to a specific sub-portion of the test dataset. The mechanisms apply analytics to the overfit measure to determine a susceptibility probability that indicates a likelihood that the trained machine learning model is susceptible to a cybersecurity threat based on the determined amount of overfitting of the trained machine learning model. The mechanisms perform a corrective action based on the determined susceptibility probability.

Abstract: An apparatus for an Internet of Things (IoT) device registry is provided. The apparatus includes an Internet of Things Universal Identification (IoT UID) processing circuit, a record management circuit, and a record provisioning circuit. The IoT UID processing circuit is structured to interpret an IoT UID and device property data. The record management circuit is structured to associate the IoT UID with the device property data via a record. The record provisioning circuit is structured to transmit the record. In embodiments, the device property data includes an owner identifier value, a manufacturer identifier value, a trusted platform module key, a media access control address, a software version identifier, and/or or a firmware identifier.

Abstract: An apparatus for detecting fraudulent activity includes a device property data processing circuit, a security analysis circuit, an alert circuit, and an alert provisioning circuit. The device property data processing circuit is structured to interpret device property data corresponding to a device registered with an Internet of Things (IoT) device registry. The security analysis circuit is structured to determine, based at least in part on the device property data, that the device is subject to a fraud event. The alert circuit is structured to generate, responsive to the determined fraud event, a message that identifies the device. The alert provisioning circuit is structured to transmit the message.

Abstract: An apparatus including a device property data processing circuit, a change detection circuit, an alert circuit, and an alert provisioning circuit. The device property data processing circuit is structured to at a first time, interpret, device property data corresponding to a device registered with an IoT device registry, and at a second time, interpret, the device property data corresponding to the device registered with the IoT device registry. The change detection circuit is structured to detect a change in the device property data between the first time and the second time. The alert circuit is structured to generate, responsive to the detected change, a message that identifies the device corresponding to the device property data. The alert provisioning circuit is structured to transmit the message.

Abstract: An apparatus for an Internet of Things (IoT) device registry is provided. The apparatus includes an Internet of Things Universal Identification (IoT UID) processing circuit, a record management circuit, an ownership analysis circuit, and an ownership provisioning circuit. The IoT UID processing circuit is structured to interpret an IoT UID corresponding to a device. The record management circuit is structured to identify, based at least in part on the IoT UID, a record in a database, the record including device ownership data associated with the device. The ownership analysis circuit is structured to interpret, based at least in part on the record, the device ownership data associated with the device. The ownership provisioning circuit is structured to transmit the device ownership data.

Abstract: An apparatus for provisioning embedded Internet of Things Universal IDs (IoT UIDs) in Brownfield devices. The apparatus includes a display circuit, a requestor circuit, a request provisioning circuit, an IoT UID processing circuit, and an IoT UID provisioning circuit. The display circuit generates a graphical user interface (GUI) configured to receive one or more user input command values corresponding to device property data for one or more Brownfield devices. The requestor circuit generates a registration request that includes the device property data. The request provisioning circuit transmits the registration request to an IoT device registrar server. The IoT UID processing circuit interprets one or more IoT UIDs generated by the IoT device registrar server in response to the registration request. The IoT UID provisioning circuit at least one of: transmits the one or more IoT UIDs, or displays the one or more IoT UIDs on an electronic display.

Abstract: Apparatuses and methods for an Internet of Things (IoT) device registry are provided. An apparatus for an IoT device registry includes a property-monitoring circuit structured to generate a query for device property data for an IoT device to an IoT device registrar server; interpret the device property data received from the IoT device registrar server to determine whether there is a change in the device property data; if the property-monitoring circuit determines that there is a change in the device property data, generate a notification of the change; and transmit the notification of the change to the IoT device registrar server.

Abstract: A method for registering one or more Brownfield devices via a virtual Internet of Things Universal Identifier (IoT UID) is provided. The method includes identifying one or more Brownfield devices, generating device property data based at least in part on the one or more Brownfield devices, and transmitting, to an IoT device registrar server, a registration request that includes the device property data. The method further includes interpreting one or more IoT UIDs generated in response to the transmitting of the registration request.

Abstract: A method for registering one or more Greenfield devices via a virtual Internet of Things Universal Identifier (IoT UID) is provided. The method includes identifying one or more Brownfield devices, generating device property data based at least in part on the one or more Brownfield devices, and transmitting, to an IoT device registrar server, a registration request that includes the device property data. The method further includes interpreting one or more IoT UIDs generated in response to the transmitting of the registration request.