Abstract: In one embodiment, a device trains, using feedback from a reference cohort of users of an online application, a prediction model to predict a quality of experience metric for the online application based on network telemetry. The device uses the prediction model to predict quality of experience metrics for different cohorts of users of the online application. The device makes one or more comparisons between performance metrics for the prediction model for the different cohorts of users, based on the quality of experience metrics predicted for the different cohorts of users. The device retrains, based on the one or more comparisons, the prediction model using feedback from the reference cohort and a particular cohort from among the different cohorts of users.

Abstract: The invention relates to a liquid recovery system for a motor vehicle where such a recovery system includes at least one liquid intake that communicates with a tank, which is designed to store liquid from the liquid intake, and is designed with an arrangement below the motor vehicle's beltline.

Abstract: In various embodiments, a device obtains a set of device classification rules. Each device classification rule specifies one or more attributes from a set of attributes and being configured to assign a device type to an endpoint in a network when the endpoint exhibits the one or more attributes specified by that rule. The device forms a graphical representation of the set of attributes. The device performs an analysis of the graphical representation of the set of attributes. The device provides a result of the analysis to a user interface.

Abstract: In one embodiment, a device associates one or more performance metrics with a particular session of an online application. The device makes a determination that a user of the online application associated with the particular session should be queried for feedback regarding their application experience. The device obtains, based on the determination, feedback from the user regarding their application experience, by causing a chatbot to be presented to the user and query the user for feedback regarding their application experience. The device associates the feedback from the user regarding their application experience with the one or more performance metrics.

Abstract: A system for managing advertisements in an in-flight entertainment (“IFE”) system operating on an airplane can include an inventory processing device and a non-transitory computer readable medium. The non-transitory computer readable medium can be communicatively coupled to the inventory processing device to cause the inventory processing device to perform operations. The operations can include determining an inventory of targeted advertisements for future flights. The operations can further include receiving a request to use a portion of the inventory for advertisements associated with an advertiser. The operations can further include transmitting instructions to an IFE controller on-board the airplane to cause the IFE controller to provide the advertisements during targeted advertisement opportunities during a flight.

Abstract: The present disclosure provides a bidirectional power converter capable of receiving and delivering AC and DC power from and to multiple ports in accordance to its different embodiments. The AC or DC input receives power and at least two power conversion circuits work with a plurality of switches for connecting provides DC or AC current at multiple ports. The power conversion circuits may be rectifier inverters and have module form that connect to the AC and DC ports via a backplane having multiple connectors. The apparatus may also provide DC to DC conversion using a buck/boost circuit.

Abstract: A sports helmet has: a shell; a face protector; and a face mask disposed on an inner side of the face protector, the face mask having a body overlapping a nose and a mouth and defining a volume between the face and the body, the body defining a top edge for engaging the face and a bottom edge opposed to the top edge and disposed proximate a chin, the bottom edge secured to a lower portion of the face protector at a location spaced apart from the face to define a gap therebetween, and lateral straps secured to one or both of the face protector and the shell for biasing the top edge against the face of the wearer, the body made of a material offering a flow resistance such that an exhalation flow from the wearer is deviated towards the gap and away from the face protector.

Abstract: Propulsion system (2) for a helicopter (1) comprising a main engine (9), a main rotor (3), a main gearbox (4) including an output mechanically connected to the main rotor (3), a reduction gearbox (13) mechanically coupled between the main engine (9) and a first input of the main gearbox (4), and an assistance device (10). The assistance device (10) comprises a first electric machine mechanically coupled to the reduction gearbox (13) and configured to operate as an electric generator to take off energy produced by the main engine (9), and a second electric machine mechanically coupled to a second input of the main gearbox (4), the second electric machine being supplied with electrical power by the first electric machine and configured to operate as an electric motor to deliver additional mechanical power to the main gearbox (4).

Abstract: In one embodiment, a device obtains a first set of measurements of a path metric for a path in a network that are measured using periodic probing of the path. The device obtains a second set of measurements of the path metric for the path that are measured using fine-grained probing of the path at a higher frequency than that of the periodic probing. The device generates a predictive model that predicts values of the path metric, based on the first set of measurements and on the second set of measurements. The device causes, based on a value of the path metric predicted by the predictive model, traffic to be rerouted from the path to another path in the network.

Abstract: In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

Abstract: Example embodiments of aspects of the present disclosure provide an example computer-implemented method for improved prompting of a machine-learned model. The example method can include obtaining an instructive sequence descriptive of an instructive query, an instructive response, and an instructive trace of intermediate states from the instructive query to the instructive response. The example method can include inputting, to a machine-learned model, the instructive sequence and an operative query, wherein the machine-learned model is configured to process the operative query with attention over the instructive sequence. The example method can include generating, using the machine-learned model and responsive to the operative query, an operative response.

Abstract: In an embodiment, an apparatus includes a first baseband section to receive a calibration signal; a first radio frequency (RF) section configured to generate a RF calibration signal based on modulating the calibration signal. The calibration signal comprises an orthogonal code based signal. The apparatus includes a second RF section to receive the RF calibration signal and generate a received calibration signal based on demodulating the RF calibration signal; a calibration section; a first antenna electrically coupled to the first RF section and configured to transmit the RF calibration signal; and a second antenna electrically coupled to the second RF section and configured to receive the RF calibration signal. The calibration section is configured to determine one or more of gain, baseband delay, or RF delay to calibrate the first RF section; and the second antenna is switchable between receiving the RF calibration signal and transmitting an encoded data signal.

Abstract: Systems and methods are described for a streaming data processing system that defers processing of some data based on a determined importance of the data. A streaming data processing system can ingest a data stream that contains multiple events, and can extract data field values from individual events and process the data field values to determine event importance. The streaming data processing system can then do further processing and indexing of high importance events, and can generate a storage prefix for each low importance event that determines where to store the low importance event in a data storage system. The streaming data processing system can then process queries by retrieving the indexed high importance events, and can extract the data field values from a high importance event to determine the storage prefix for retrieving corresponding low importance events from the data storage system.

Abstract: A sintered rod-shaped proppant and anti-flowback agent possesses high strength and high conductivity. The sintered rods comprise between about 0.2% by weight and about 4% by weight aluminum titanate. In some embodiments, the sintered rods are made by mixing bauxitic and non-bauxitic sources of alumina that may also contain several so-called impurities (such as TiO2), extruding the mixture, and sintering it. The starting material may optionally be milled to achieve better compacity and crush resistance in the final sintered rod. A fracturing fluid may comprise the sintered rods alone or in combination with a proppant, preferably a proppant of a different shape.

Abstract: Methods, systems and devices for the creation, management and retirement of a carbon-linked security within a distributed ledger system. In an example, a method for administering at least one carbon-linked security product includes receiving a carbon footprint associated with an issuer and a confirmation of a deposit of an underlying security associated with the issuer, calculating a carbon offset amount from a ratio derived from at least the carbon footprint or an issuance of the underlying security, linking the carbon offset amount to the underlying security to create at least one carbon-linked security product, receiving a notification of a corporate action by the issuer, determining that the corporate action has an impact on the ratio, and automatically updating, based on the corporate action and the determining, the carbon offset amount in the distributed ledger.

Abstract: The invention relates to a capsule for the preparation of a beverage in a beverage machine by feeding liquid in the capsule and extracting a beverage out of the capsule, wherein the capsule comprises containment walls forming an interior cavity containing beverage precursor; wherein the beverage precursor comprises a combination of non-compacted beverage extractable powder and pellets of compacted beverage extractable powder and wherein the largest dimension of each pellet is at least 3.5 millimeters. The invention enables to confer different beverage characteristics, for example, change the beverage extraction and aroma release kinetics, make more intense beverages and/or improve the beverage flow released from the capsule.

Abstract: A machine data validation system can track and validate the integrity of machine data generated by machines. The system can generate hashes for the items and batch hashes that can be validated using an immutable data store, such as a blockchain. The system can implement a tiered blockchain structure to efficiently store and reference the hashes to validate the machine data at different times or upon request from an end-user.

Abstract: An example method for pretraining a machine-learned model is provided. The example method includes obtaining a plurality of different combinations of configuration parameters of a pretraining objective framework. The example method includes generating, using the pretraining objective framework, a plurality of corrupted training examples from one or more training examples, wherein the plurality of corrupted training examples are respectively generated according to the plurality of different combinations. The example method includes inputting the plurality of corrupted training examples into the machine-learned model, wherein the machine-learned model is configured to generate uncorrupted subportions corresponding to corrupted subportions of the corrupted training examples. The example method includes obtaining, from the machine-learned model, a plurality of outputs respectively generated by the machine-learned model based on the plurality of corrupted training examples.

Abstract: In an embodiment, an apparatus includes a transmit section including a first baseband section and a first radio frequency (RF) section, wherein the transmit section is configured to receive a calibration signal, the first RF section is configured to generate a RF calibration signal based on modulating the calibration signal. The calibration signal comprises an orthogonal code based signal; and a receive section configured to receive the RF calibration signal over-the-air, the receive section includes a second RF section and a calibration section, the second RF section is configured to generate a received calibration signal based on the RF calibration signal, the received calibration signal and a reference signal associated with the RF calibration signal comprise inputs to the calibration section and the calibration section is configured to determine one or more of gain, baseband delay, or RF delay compensation values, based on the inputs, to calibrate the transmit section.