Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: The present invention relates to computerized (“smart”) mobile electronic devices and more particularly, to a system and methods of diagnosing and repairing malfunctions in smart mobile electronic devices, including a diagnostic process that utilizes decisions based on Big Data that holds information of multiple devices and offers a “disable components” (i.e., turn-off components) solution in order to overcome the problem without flashing a firmware or doing a factory-reset.

Abstract: Novel tools and techniques are provided for implementing Inference as a Service. In various embodiments, a computing system may receive a request to perform an AI/ML task on first data, the request including desired parameters, in some cases, without information regarding any of specific hardware, specific hardware type, specific location, or specific network for providing network services for performing the requested AI/ML task. The computing system may identify edge compute nodes within a network based on the desired parameters and/or unused processing capacity of each node. The computing system may identify AI/ML pipelines capable of performing the AI/ML task, the pipelines including neural networks utilizing pre-trained AI/ML models. The computing system may cause the identified nodes to run the identified pipelines to perform the AI/ML task.

Abstract: A method and system for assessing the risk of a cardiac event in a patient which utilizes real-time and historical data from Electronic Medical Record (EMR) systems is described. A risk of a cardiac event is estimated, in real-time or near-real-time, for a patient who is currently in a hospital emergency department. Batch data for one or more past patients is extracted from EMRs into a machine learning model. Using the machine learning model, a risk level for one or more past patients is calculated. A real-time database is constructed from streams of real-time Health Level 7 (HL7) clinical data, wherein at least one stream of real-time HL7 clinical data is associated with the current patient, and a risk prediction is estimated by joining the calculated risk level for the patient in the machine learning model with the real-time HL7 clinical data from the patient.

Abstract: Local execution of smart device mesh automations with cloud-based failover is described herein. Embodiments operate in context of network-connected devices in a smart device mesh with a local automation system, where all devices communicate with cloud-based automation, and at least some also communicate with local automation. A determination is made whether to claim each automation routine for local automation, or to automatically execute the automation by the cloud when triggered. Triggered locally claimed automation routines cause attempted default execution locally by local automation with automatic failover execution by the cloud-based automation. Some embodiments further involve electing an executor device as part of claiming an automation routine and/or monitoring execution of automation routines to determine when to automatically de-claim locally claimed automation routines with poor local execution success rates.

Abstract: This document relates to automating detecting anomalies in network behavior of an application Generally, the disclosed techniques can obtain network flow data for an application. A machine learning model can be used to process the network flow data to detect anomalies. The machine learning model can be retrained over time to adapt to changing network behavior of the application. In some cases, a graph neural network is employed to detect the anomalies.

Abstract: A hearing assist device enhances the voice of a speaker and provides an amplified version of the speaker's voice presented to a listener. The device comprises a detector which preferentially receives voice sounds from a speaker and which detector has at least one microphone for receiving the voice sounds and producing a signal representation thereof. The detector may comprise a tube having an input end which receives the voice sounds and at an output end of the tube which detector provides a signal representation of the voice sounds to an amplifier which in turn drives a loudspeaker.

Abstract: An agricultural harvester includes a straw hood having a hollow interior space for receiving material other than grain (MOG) from a threshing and separating system of the harvester and chaff from a sieve of a cleaning system of the harvester. A weed seed mill is mounted to the straw hood. An access door is moveably mounted to the straw hood between a lowered operational position and a raised service position. In the lowered operational position, the access door is positioned to direct the stream of chaff either into or towards the inlet of the weed seed mill. In the raised service position, a user-accessible passageway is formed from an exterior of the agricultural harvester to the sieve such that a user can access the sieve from an exterior of the harvester.

Abstract: Techniques and apparatuses are described that perform audioplethysmography calibration. Provided according to one or more preferred embodiments is a hearable, such as an earbud, that is capable of performing a novel physiological monitoring process termed herein audioplethysmography, an active acoustic method capable of sensing subtle physiologically-related changes observable at a user's outer and middle ear. The hearable can utilize audioplethysmography to monitor a user's biometrics, recognize facial behaviors, and/or sense an environment using acoustic signals. The techniques for audioplethysmography calibration enable the hearable to dynamically select frequencies that improve the performance of audioplethysmography. With audioplethysmography calibration, the hearable may utilize different frequencies for different ears and these frequencies may change over time.

Abstract: Tobacco harm reduction (THR) products according to the present disclosure include both dermally and orally administered products, each comprising at least one substituted pyridine compound according to Formula (I), with excipients and optional substrate customized to a physical form or a function of the product. In various examples, THR products include (a) a transdermal patch, (b) a dissolving film, (c) a lozenge, (d) a chewing gum, (e) an oral pouch, (f) impregnated toothpicks, (g) impregnated or coated dental floss, (h) a mouthwash, (i) a gummy candy, (j) sublingual disintegrating tablets, or (k) a topical/transdermal cream.

Abstract: Systems and methods for detecting abusive behavior. In some aspects, a method includes receiving first transfer data for a first transfer associated with a second category of resources and a first indication whether the first transfer is associated with abusive behavior. The first transfer data may be processed using a first machine learning model to generate a first prediction regarding whether the first transfer is associated with abusive behavior. In response to determining that the first prediction does not match the first indication, the first machine learning model may be updated to generate a second machine learning model for the second category of resources. The method may include receiving second transfer data for a second transfer associated with a second category of resources and processing the second transfer data using the second machine learning model to generate a second prediction regarding whether the second transfer is associated with abusive behavior.

Abstract: A dispensing system is disclosed. The dispensing system may include a plurality of compartments configured to store medicines associated with a patient. The dispensing system may further include a medicine management unit that may include a transceiver and a processor. The transceiver may be configured to receive a medicine delivery schedule associated with the patient. The processor may be configured to obtain the medicine delivery schedule from the transceiver and identify a medicine and a medicine delivery time. The processor may be further configured to output a notification at the medicine delivery time to indicate to the patient to collect the medicine. In addition, the processor may be further configured to determine that the patient is in proximity to a dispensing system front portion responsive to outputting the notification and cause a compartment to move from a closed position to an open position.

Abstract: The invention comprises a product. The product comprises a carbonation aid or a microporous material or a combination thereof and a carbonatable mineral containing one or more of un-carbonated Ca, Mg, Na, K, Fe, wherein the carbonation aid facilitates the conversion of one or more of CaO, MgO, Na2O, K2O or FeO to a carbonate or a CO3 containing mineral in the presence of CO2, wherein the carbonatable mineral has a volume-based mean particle size of less than or equal to 100 ?m and wherein one or more of the carbonation aid or a microporous material or a combination thereof or the carbonatable mineral has carbon dioxide bound thereto at a concentration greater than its atmospheric concentration.

Abstract: The invention modernizes abandoned or inefficient petrochemical plants for the production of jet fuel, diesel, naphtha, drilling fuels and wax. It utilizes an amine system shifted in a brownfield situation and a PRISM unit to cleanse incoming syngas and obtain an optimal H2:CO ratio for conversion. The refit and repurposing introduces novel heat transfer elements to a Fischer-Tropsch (FT) reactor and embarks a proprietary FT catalyst for the production of GTL products. It also incorporates unique FT analyzers to monitor hydrocarbon streams and aid production and Coriolis flow meters for precise measurements of liquid wax flow, unaffected by wax congestion or vibration.

Abstract: A system and method are disclosed for centralized monitoring and control of a hydraulic fracturing operation. The system includes an electric powered fracturing fleet and a centralized control unit coupled to the electric powered fracturing fleet. The electric powered fracturing fleet can include a combination of one or more of: electric powered pumps, turbine generators, blenders, sand silos, chemical storage units, conveyor belts, manifold trailers, hydration units, variable frequency drives, switchgear, transformers, and compressors. The centralized control unit can be configured to monitor and/or control one or more operating characteristics of the electric powered fracturing fleet.

Abstract: The present disclosure generally relates to a bearing hub assembly of a rail guide wheel apparatus for a rail vehicle. The bearing hub assembly may couple rail wheels to the rail guide wheel apparatus. The rail guide wheel apparatus may be included on a Hi-Rail vehicle or any other vehicle configured to travel along railroad tracks. The bearing hub assembly includes a sensor that is integrally mounted within the bearing hub assembly. The sensor collects information associated with rotation of the rail wheels. Information collected by the sensor may be used to determine a speed, direction, location, and/or distance traveled of the rail vehicle.

Abstract: A method for controlling deployment of network configuration changes includes receiving, by centralized network management system executed by a processor and memory, configuration change instructions to alter a configuration of a network; computing, by the centralized network management system, a weighted impact of the configuration change instructions; determining, by the centralized network management system, whether the weighted impact of the configuration change instructions exceeds a threshold impact level; and in response to determining that the weighted impact does not exceed the threshold impact level, executing the configuration change instructions.

Abstract: A closed bottom vaporizer pod prevents vaporizable material from exiting the pod and entering into a heat source of a vaporizer. A closed bottom vaporizer pod further reduces contamination and/or fouling of a vaporizer and comprises a closed bottom capsule, at least one air inlet for drawing air into the closed bottom capsule, and at least one air outlet for drawing air out of the closed bottom capsule. An air flow path is created from the at least one air inlet, the closed bottom capsule, and the air outlet which prevents contamination of the vaporizer.

Abstract: Methods and systems for generating synthetic data. In some aspects, the system receives a first set of candidate behaviors, each of which comprises plain text. The system processes the first set of candidate behaviors using a first language processing model to generate a set of representations in an embedding space. For each representation in the set of representations, the system processes the representation using a second language processing model to generate a first sequence of behavioral tokens representative of a timeline of user activities. Using the set of representations and first sequence of behavior tokens, the system updates the second language processing model. Using the updated second language processing model, the system processes a second set of candidate behaviors to generate a second sequence of behavior tokens.

Abstract: A method can include generating, based at least in part on telematics data of a user, a first travel pattern for a first day of a week including one or more first locations. The method can also include comparing the first travel pattern and one or more transportation routes. The method can further include receiving a selection from the user of a transportation schedule from one or more transportation schedules that are based in part on the first travel pattern. The method can additionally include determining an actual travel route associated with the user to determine a percentage of time the user follows the transportation schedule. The method can also include, when the percentage of the time is below a predetermined threshold: transmitting for display, a prompt to an electronic device of the user to provide a reason for why the user is not following the transportation schedule, and updating the transportation schedule associated with the user based in part on the reason provided by the user.