Abstract: A network environment includes a wireless base station, a repeater wireless station, and one or more mobile communication devices (a.k.a., user equipment). A communication management resource associated with the wireless base station receives a communication from a repeater wireless station. In response to the communication, the communication management resource establishes a wireless communication link between the wireless base station and the repeater wireless station. For example, the communication management resource associated with the wireless base station communicates beamforming control information from the wireless base station to the repeater wireless station. The beamforming control information controls beamforming functions of the repeater wireless station and corresponding wireless connectivity with a first mobile communication device.

Abstract: A network environment includes a wireless base station, a repeater wireless station, and one or more mobile communication devices (a.k.a., user equipment). A communication management resource associated with the wireless base station receives a communication from a repeater wireless station. In response to the communication, the communication management resource establishes a wireless communication link between the wireless base station and the repeater wireless station. For example, the communication management resource associated with the wireless base station communicates beamforming control information from the wireless base station to the repeater wireless station. The beamforming control information controls beamforming functions of the repeater wireless station and corresponding wireless connectivity with a first mobile communication device.

Abstract: An ultrasound system includes a processor and an ultrasound transducer array. The processor receives a first ultrasound image and a second ultrasound (1320) image from the transducer array. The first and second ultrasound images may be perpendicular to one another. The processor generates a score associated with the first ultrasound image and compares the score to a threshold score. Based on the score not satisfying the threshold score, the processor then determines a new imaging plane and directs the transducer array to obtain a third ultrasound image (1410) according to the new imaging plane. The third ultrasound image may also be perpendicular to the second ultrasound image. The processor circuit then displays the third ultrasound image and the second ultrasound image. The processor circuit also identifies an angle corresponding to the new imaging plane and displays an indicator (1342) overlaid over the second ultrasound image identifying the new imaging plane of the third ultrasound image.

Abstract: A workload adaptation service of a provider network may perform smart deployment of industrial an IoT workload across resources of a provider network and a client network. The workload adaptation service may receive, from a user, an indication of one or more constraints for performance of a workload (e.g., daily upload limit, maximum acceptable latency). The service determines a deployment for the workload across client resources and provider resources based at least on the constraints. The service deploys portions of the workload to the client network and other portions to the provider network according to the deployment. The workload adaptation service may also perform dynamic adaptation of the IoT workload by moving portions of the workload from the client network to the provider network or vice-versa, based on workload performance metrics or based on changes to the available resources.

Abstract: A membrane including a polymer substrate having pore channels and a metal-organic framework disposed on the polymer substrate. Methods of producing the membrane are described. Methods of separating gases using the membrane are also provided.

Abstract: The present disclosure relates to a device for predicting, detecting, monitoring, and controlling epilepsy and methods thereof. In particular, the present disclosure relates to early detection and control of epileptic seizures using sensor-based device. In some embodiments, the sensor-based device is wearable.

Abstract: Methods, systems, and computer-readable media for augmenting storage functionality using emulation of storage characteristics are disclosed. An access request for a data set is received. The access request is formatted according to a first protocol associated with a first data store, and the first data store is associated with first storage characteristics. The access request is translated into a translated access request. The translated access request is formatted according to a second protocol associated with a second data store, and the second data store is associated with second storage characteristics differing at least in part from the first storage characteristics. The translated access request is sent to the second data store. The translated access request is performed by the second data store on the data set using emulation of one or more of the first storage characteristics not included in the second storage characteristics.

Abstract: This disclosure presents systems and methods to provide telehealth and medical IoT communication. Exemplary implementations may: obtain health information characterizing physiological state of a user; obtain activity information characterizing physical activity of the user; identify potential occurrences of one or more medical-related events based on the health information and the activity information; in response to identifying the potential occurrences of the one or more medical-related events, generate and deliver one or more notifications to one or more computing platforms; and/or perform other features and/or functionality.

Abstract: A red blood cell extracellular vesicle (RBCEV) loaded with a nucleic acid cargo; method for preparing the loaded vesicle; and the therapeutic use of the vesicle thereof are disclosed. The nucleic acid cargoes may be DNA or RNA, single stranded or double stranded, as well as linear or circular.

Abstract: A system (101) for monitoring a physiological condition of a user (104) is disclosed herein. The system (101) includes a receiving module (110) configured to receive a plurality of short-term segments of Heart Rate Variability (HMI) (302) or short-term electrocardiogram (ECG) segments (402) or short voice recordings (602) from the user (104) recorded at different time points. The system includes a stitching module (114) for stitching the plurality of short-term segments and creating a stitched segment. The system further includes an extracting module (116) extracting feature from the stitched segment and a predicting module (118) for predict the physiological condition, based on the feature.

Abstract: A method of fixating carbon dioxide (CO2) to a substituted oxazolidinone. The method includes mixing a metal-organic framework (MOF), a co-catalyst, at least one para-substituted aromatic amine, and at least one epoxide to form a mixture. The method further includes contacting the mixture with a gas stream containing CO2 to react the CO2 in the gas stream with the epoxide and para-substituted aromatic amine to form a substituted oxazolidinone mixture. The MOF is a UiO-66-X MOF, where X is of formula (I) wherein at least one of R1 to R4 is an allyloxy group, and R1 to R4 are independently an allyloxy group or a hydrogen.

Abstract: A membrane including a polymer substrate having pore channels and a metal-organic framework disposed on the polymer substrate. Methods of producing the membrane are described. Methods of separating gases using the membrane are also provided.

Abstract: A membrane including a polymer substrate having pore channels and a metal-organic framework disposed on the polymer substrate. Methods of producing the membrane are described. Methods of separating gases using the membrane are also provided.

Abstract: An interface system for securing devices on a network gaining access to an external wide area network, such as Internet. The interface system includes a gateway, a vulnerability scanner, switch, cameras, network access controller, and machine learning module. The interface system detects any unusual activity from a device on the network and can take autonomous decisions based on calculated scores to allow or block the unusual activity.

Abstract: A taxi metering system includes an administrative component and a mobile meter app, respectively configured to run on a server and a mobile metering device. The mobile meter receives GPS data that is map-matched by a map-matching server and used, with other fare parameters to calculate a total fare. The mobile meter app calculates a fare amount in near real time and conveys information to the administrative component. The administrative component monitors and records fare parameters and corresponding fare attributes to generate a ride summary and receipt.

Abstract: In one embodiment, a method includes receiving parameter data associated with trajectories captured using at least one sensor associated with one or more vehicles, determining a parameter distribution associated with movement parameters for the parameter data based on the trajectories, adjusting the parameter distribution for the parameter data associated with the movement parameters up to a respective threshold constraint, wherein the respective threshold constraint is based on at least one of the parameter data, generating driving simulations that are based on the adjusted parameter distribution for the parameter data, and evaluating an autonomous-driving system using the driving simulations.

Abstract: Systems, methods and computer program products are described herein that can be used to help achieve a safe rollout of software in a production datacenter environment. In accordance with certain embodiments, cloud services requests from certain users of a cloud services system (e.g., users that are authorized to receive cloud services via computing devices running test versions of infrastructure software) are dynamically matched to clusters (groups of commonly-managed computing devices called nodes) that are capable of providing the requested services on nodes running test versions of infrastructure software. Within such clusters, the requested services are provided to the users on a subset of cluster nodes that run a test version of an infrastructure software component, while the remaining cluster nodes are not running the particular test version.

Abstract: A workload adaptation service of a provider network may perform smart deployment of industrial an IoT workload across resources of a provider network and a client network. The workload adaptation service may receive, from a user, an indication of one or more constraints for performance of a workload (e.g., daily upload limit, maximum acceptable latency). The service determines a deployment for the workload across client resources and provider resources based at least on the constraints. The service deploys portions of the workload to the client network and other portions to the provider network according to the deployment. The workload adaptation service may also perform dynamic adaptation of the IoT workload by moving portions of the workload from the client network to the provider network or vice-versa, based on workload performance metrics or based on changes to the available resources.

Abstract: A method includes generating a parameter of a trajectory associated with a scenario using a path planner. The parameter is generated based on a training dataset. The method includes comparing the parameter of the trajectory against a validation parameter associated with a validation dataset. The validation parameter is based on human-based vehicle driving trajectory data associated with scenarios that satisfy a level of similarity with the scenario. The method further includes determining a level of similarity between the parameter associated with the scenario and the validation parameter associated with the scenarios, and, subsequent to determining that the level of similarity fails to satisfy a similarity threshold, the method concludes with providing training data associated with the scenario to the training dataset so that a subsequent parameter of a subsequent trajectory generated by the path planner and associated with the scenario satisfies the level of similarity against the validation parameter.

Abstract: An interface system for securing devices on a network gaining access to an external wide area network, such as Internet. The interface system includes a gateway, a vulnerability scanner, switch, cameras, network access controller, and machine learning module. The interface system detects any unusual activity from a device on the network and can take autonomous decisions based on calculated scores to allow or block the unusual activity.