Abstract: A communication device and method for automatic profile configuration is provided. The communication device receives, from a server, a first profile including a first set of features or settings of the communication device. The first profile is configured to control the electronic device. The communication device uses a location sensor associated with the communication device to track a location of the communication device. The communication device determines whether the communication device is beyond a predefined distance from a predefined location. The communication device receives, from the server, ownership update information indicative of an event of an ownership change associated with the communication device. The communication device removes the generated first profile from the communication device, based on the determination that the tracked location is beyond the predefined distance and the ownership update information.

Abstract: A method of providing continuous user authentication for resource access control includes launching a continuous authentication service at a boot time of a first device, wherein the first device includes a processor, a memory, and one or more sensors configured to collect authentication information. Additionally, the method includes receiving authentication information comprising one or more of explicit authentication information or implicit authentication information, and receiving a request for access to a resource of the first device. Further, the method includes the operations of determining, by the continuous authentication service, a current value of a security state, the current value of the security state based in part on a time interval between a receipt time of the authentication information and a current time and controlling access to the resource based on the current value of the security state.

Abstract: Systems and methods for incident response using artificial intelligence for information technology operations are disclosed. In one embodiment, a method may include an incident response computer program executed by an electronic device: (1) receiving an incident ticket for an incident involving a computer product or a computer system within an organization from a service management platform for the computer product or the computer system; (2) providing incident information from the incident ticket to a trained incident response machine learning engine, wherein the trained incident response machine learning engine is trained to predict a solution for the incident based on historical incident data; (3) receiving, from the trained incident response machine learning engine, a predicted solution for the incident; and (4) providing the predicted solution to the service management platform. The service management platform provides the predicted solution to the computer product or the computer system.

Abstract: In some embodiments, in connection with a user input of a user, a set of selective parameters to be configured by the user for a structured data query may be determined. As an example, the set of selective parameters may be a first set of selective parameters for the structured data query in response to the set of permissions being a first set of permissions. As another example, the set of selective parameters may be a second set of selective parameters different from the first set of selective parameters in response to the set of permissions being a second set of permissions. One or more input fields for configuring one or more selective parameters of the set of selective parameters may be generated for display, and an executable data query may be generated based on configuration information (related to the selective parameters) that is obtained via the input fields.

Abstract: A silica aerogel having a mean pore size less than 5 nm with a standard deviation of 3 nm. The silica aerogel may have greater than 95% solar-weighted transmittance at a thickness of 8 mm for wavelengths in the range of 250 nm to 2500 nm, and a 400° C. black-body weighted specific extinction coefficient of greater than 8 m2/kg for wavelengths of 1.5 ?m to 15 ?m. Silica aerogel synthesis methods are described. A solar thermal aerogel receiver (STAR) may include an opaque frame defining an opening, an aerogel layer disposed in the opaque frame, with at least a portion of the aerogel layer being proximate the opening, and a heat transfer fluid pipe in thermal contact with and proximate the aerogel layer. A concentrating solar energy system may include a STAR and at least one reflector to direct sunlight to an opening in the STAR.

Abstract: A method includes: creating a training data set based on user input, the training data set including time series data of a price of an asset and stochastic event data of events related to the asset; creating an event intensity model that models an event intensity parameter of one of the events, wherein the event intensity model is based on a multivariate Hawkes process, and the creating the event intensity model includes learning parameters of the event intensity model using machine learning and the training data set; creating a probabilistic time series model that predicts a probability distribution of a return of the asset, wherein the creating the probabilistic time series model includes learning parameters of the probabilistic time series model using machine learning and the training data set; and predicting a future return of the asset for a future time period using the probabilistic time series model.

Abstract: A method for growing bulk boron arsenide (BA) crystals, the method comprising utilizing a seeded chemical vapor transport (CVT) growth mechanism to produce single BAs crystals which are used for further CVT growth, wherein a sparsity of nucleation centers is controlled during the further CVT growth. Also disclosed are bulk BAs crystals produced via the method.

Abstract: Apparatus include a first laser diode situated to emit a beam from an exit facet along an optical axis, the beam as emitted having perpendicular fast and slow axes perpendicular to the optical axis, a first fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the first laser diode, a second laser diode situated to emit a beam from an exit facet of the second laser diode along an optical axis parallel to the optical axis of the first laser diode and with a slow axis in a common plane with the slow axis of the first laser diode, and a second fast axis collimator (FAC) optically coupled to the beam as emitted from the exit facet of the second laser diode and configured to direct the beam along a redirected beam axis having a non-zero angle with respect to the optical axis of the second laser diode.

Abstract: A system and process for generating, on-site, a sustained C6+C7 aromatic rich solvent stream for tar solvation within the olefin plant employing a two-fuel oil tower system receiving a hydrocarbon feed from a quench water separator drum, where the two-fuel oil tower system is configured to make a sufficient solvent stream containing C6+C7 aromatic rich hydrocarbons that is recycled and mixed with quench water going to the quench water separator drum to assist in removing tar molecules out of the quench water.

Abstract: Systems and methods for phenotyping clinical data are provided. The method includes obtaining episodic records comprising unstructured clinical data from an electronic medical record (EMR) or electronic health record (EHR) for patients. The method also includes filtering the episodic records by language pattern recognition to identify episodic records that each includes an expression related to a clinical condition. The method also includes splitting each episodic record to obtain snippets comprising tokens. The method also includes predicting if an episodic record represents an instance of the clinical condition using a trained classifier. The trained classifier includes an aggregation function that aggregates the snippets to output a corresponding representation for the episodic record, and an interpretation function that interprets the corresponding representation to output a corresponding prediction for whether the episodic record represents an instance of the clinical condition.

Abstract: A method may select a surviving storage node based on environmental conditions. A request for exclusive access to a volume is received. A score based on data associated with an environment of the node is determined for each node in a cluster. Based on the scores, a node to grant exclusive access to the volume is identified, and such exclusive access is granted to the identified node.

Abstract: Radio frequency front end modules are provided. In one aspect, a front end system includes at least one power amplifier configured to amplify a transmit radio frequency signal, at least one low noise amplifier configured to receive a receive radio frequency signal, an output node coupled to an antenna. The front end system further includes at least one switch configured to selectively couple the output node to the at least one power amplifier during a transmit period and to the at least one low noise amplifier during a receive period, at least one transmit filter coupled between the power amplifier and the at least one switch, and at least one receive filter coupled between the low noise amplifier and the at least one switch.

Abstract: An input module includes a carrier shelf for supporting a receptacle carrier, a retrieval dock configured to receive one receptacle from a carrier supported on the carrier shelf and present the receptacle for removal by a receptacle transport apparatus, and a pusher configured to push receptacles on the carrier to one end of the carrier and to push one receptacle at a time off the end of the carrier and onto the retrieval dock. A method for determining a number of receptacles on a carrier includes placing the carrier on a carrier shelf, pushing receptacles on the carrier to one end of the carrier with a packer, detecting a position of the packer the receptacles have been pushed to the end of the carrier, and determining the number of receptacles on the carrier from the position of the packer.

Abstract: Appliances for intraoral delivery of agents are provided. In some embodiments, an appliance includes a shell having an inner surface and an outer surface, the inner surface defining a plurality of tooth-receiving cavities configured to apply a repositioning force to a patient's teeth, and the outer surface oriented away from the patient's teeth. The appliance can also include a reservoir integrally formed in the outer surface of the shell, the reservoir being configured to store at least one agent. The appliance can further include a membrane covering at least a portion of the reservoir to control release of the agent into an intraoral cavity of the patient. The membrane can include a plurality of pores that are configured to open based at least in part on a temperature of the patient's intraoral cavity to allow the at least one agent to pass therethrough.

Abstract: A connector for electrically connecting to conductive structures formed on a semiconductor device includes a core including an isolation layer and signal vias and ground vias formed in the isolation layer; a first ground plane formed on a surface of or in the core and electrically connected to the ground vias; a first set of contact elements formed on a first surface of the core and electrically connected to the signal vias to form signal pins; a second set of contact elements formed on the first surface and electrically connected to a subset of the ground vias to form ground pins. The remaining ground vias without contact elements form buried ground vias. The first and second sets of contact elements are arranged on the first surface of the core to surround each signal pin by at least one adjacent ground pin and one or more adjacent buried ground vias.

Abstract: Methods, systems, and computer program products for translating text using generated visual representations and artificial intelligence are provided herein. A computer-implemented method includes generating a tokenized form of at least a portion of input text in a first language; generating at least one visual representation of at least a portion of the input text using a first set of artificial intelligence techniques; generating a tokenized form of at least a portion of the at least one visual representation; and generating an output including a translated version of the input text into at least a second language by processing, using a second set of artificial intelligence techniques, at least a portion of the tokenized form of the at least a portion of the input text and at least a portion of the tokenized form of the at least a portion of the at least one visual representation.

Abstract: Disclosed embodiments may include a method for generic aspect-based sentiment analysis. The system may receive training data, which is used to train one or more machine learning models. The system may receive data, which may be transcribed call data. The system may extract one or more aspects from the call data using one machine learning model. For each aspect, the system may determine a sentiment polarity. The system may filter the aspects and sentiment polarities and analyze trends based on the filtered aspects and sentiment polarities. The system may output a result to a dynamic graphical user interface based on the trends. This may allow a user to detect customer attitudes toward a variety of subjects and trends over time without training machine learning models for specific domains.

Abstract: Provided herein are systems and methods for converting CO2 and a reduction gas such as H2 or a hydrocarbon to mixtures of paraffins and aromatics suitable for use as aviation fuel.

Abstract: Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.