Abstract: A method comprising receiving incoming data destined to a line associated with a user, determining a security parameter associated with the incoming data based on at least one of a source of the incoming data or a content of the incoming data, in which the security parameter indicates a security level of the incoming data, storing, in a second data store accessible to the data application, the incoming data in association with the security parameter, receiving a sync request for the incoming data comprising an access token indicating an authentication type associated with a second factor of authentication used to authenticate the client with an authorization server, transmitting the incoming data to the client when the client is permitted to retrieve the incoming data from a data store.

Abstract: A directional speaker apparatus has a source speaker for emitting a source sound; and a suppression speaker for emitting a suppression sound. A method for directional sound emission includes emitting a source sound from a source speaker; and emitting a suppression sound from a suppression speaker.

Abstract: A fireplace grill system having a hollow cabinet with a bottom wall, side walls, a front wall and back wall, and an open top. An opening in the front wall extends from the bottom wall to a termination point short of the open top. A plurality of support legs extend downwardly and away from the bottom wall.

Abstract: A method comprising receiving incoming data destined to a line associated with a user, determining a security parameter associated with the incoming data based on at least one of a source of the incoming data or a content of the incoming data, in which the security parameter indicates a security level of the incoming data, storing, in a second data store accessible to the data application, the incoming data in association with the security parameter, receiving a sync request for the incoming data comprising an access token indicating an authentication type associated with a second factor of authentication used to authenticate the client with an authorization server, transmitting the incoming data to the client when the client is permitted to retrieve the incoming data from a data store.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A method comprising receiving incoming data destined to a line associated with a user, determining a security parameter associated with the incoming data based on at least one of a source of the incoming data or a content of the incoming data, in which the security parameter indicates a security level of the incoming data, storing, in a second data store accessible to the data application, the incoming data in association with the security parameter, receiving a sync request for the incoming data comprising an access token indicating an authentication type associated with a second factor of authentication used to authenticate the client with an authorization server, transmitting the incoming data to the client when the client is permitted to retrieve the incoming data from a data store.

Abstract: A method comprises performing, by a core access network element in a core network, a registration of a first client with the IMS core network based on an identifier of the first client and an access token associated with the first client, maintaining, by the core access network element, the registration of the first client with the IMS core network, receiving, by the core access network element, an access request from the first client, wherein the access request comprises the access token of the first client and the identifier of the first client, authenticating, by an authorization server, the access token in association with the first client, verifying, by an identity management server, a permission associated with the first client to use the access token to access the core network.

Abstract: The present disclosure provides methods, nanosensor devices, and uses for in vivo tissue measurement of mitochondrial physiology, including tissue oxygen and other readouts, such as in mitochondrial myopathy, disease, diagnosis, biomarker assessment, and monitoring of interventions and therapies.

Abstract: Techniques related to integrating carrier-grade call services to Internet-of-Things (IoT) devices are disclosed. In one example aspect, a system configured to integrate a call service to an IoT device of a user includes a call service network in a core network, a gateway server in communication with the IoT device and the call service network, and a communication plugin. The gateway server is configured to facilitate an exchange of one or more call signaling messages between the IoT device and the call service network. The communication plugin is deployed on a mobile device of the user to direct a service integration request from the user to the call service network to enable integration of an IoT service account of the user and a call service account of the user.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: A photodetector which comprises a measurement layer (15) and at least a first photoactive layer (11) which covers the measurement layer (15). The measurement layer (15) may be a transistor channel or a charge accumulation electrode. The conductivity type of the measurement layer is n-type, p-type or ambipolar and the first photoactive layer (11) exhibits intrinsic semiconductivity.

Abstract: Methods for calculating nutrient content information. In one embodiment, the methods comprise: receiving a recipe having a list of ingredients and quantities, for each of the ingredients a corresponding record is found within a database of known records, the records are associated to quantities and nutritional values. The units of measurement of the recipe ingredients and the identified record are compared. When the units are the same, no conversion is performed. When the units are different, the units of the known record are converted using a conversion factor derived from a relationship between the differing units of measurement. In one variant, the conversion factor may be identified from a table of conversion factors relating various units of measurement to one another. Finally, the converted or the known nutritional values are multiplied by a ratio of the quantity of the ingredient in the recipe to the quantity of the known record.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Embodiments include semiconductor packages and methods to form the semiconductor packages. A semiconductor package includes a plurality of first dies on a substrate, an interface layer over the first dies, a backside metallization (BSM) layer directly on the interface layer, where the BSM layer includes first, second, and third conductive layer, and a heat spreader over the BSM layer. The first conductive layer includes a titanium material. The second conductive layer includes a nickel-vanadium material. The third conductive layer includes a gold material, a silver material, or a copper material. The copper material may include copper bumps. The semiconductor package may include a plurality of second dies on a package substrate. The substrate may be on the package substrate. The second dies may have top surfaces substantially coplanar to top surface of the first dies. The BSM and interface layers may be respectively over the first and second dies.

Abstract: An apparatus including an array of field-effect transistors, each field-effect transistor including a channel, source and drain electrodes, and a gate electrode configured to enable the flow of electrical current to be varied, the gate electrode separated from the channel by a dielectric material configured to inhibit a flow of electrical current between the channel and gate electrode, wherein the gate electrode of each field-effect transistor is connected in parallel to the gate electrodes of the other field-effect transistors in the array, and wherein a respective two-terminal current-limiting component is coupled to each gate electrode such that, in the event that a defect in the dielectric material of a particular field-effect transistor allows a leakage current to flow between the channel and gate electrode of that field-effect transistor, the respective two-terminal current-limiting component limits the magnitude of the leakage current.

Abstract: A photodetector which comprises a measurement layer (15) and at least a first photoactive layer (11) which covers the measurement layer (15). The measurement layer (15) may be a transistor channel or a charge accumulation electrode. The conductivity type of the measurement layer is n-type, p-type or ambipolar and the first photoactive layer (11) exhibits intrinsic semiconductivity.

Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.

Abstract: Methods for calculating nutrient content information. In one embodiment, the methods comprise: receiving a recipe having a list of ingredients and quantities, for each of the ingredients a corresponding record is found within a database of known records, the records are associated to quantities and nutritional values. The units of measurement of the recipe ingredients and the identified record are compared. When the units are the same, no conversion is performed. When the units are different, the units of the known record are converted using a conversion factor derived from a relationship between the differing units of measurement. In one variant, the conversion factor may be identified from a table of conversion factors relating various units of measurement to one another. Finally, the converted or the known nutritional values are multiplied by a ratio of the quantity of the ingredient in the recipe to the quantity of the known record.

Abstract: A wheel rim guard includes a body having an outer surface and an inner surface each radiating from a central point and the outer surface and the inner surface each co-terminating and defining a circumferential peripheral edge. The guard also includes a returnably-resilient seal disposed along the circumferential peripheral edge, the seal engaging a wheel rim berm. The guard also includes a handle depending from the outer surface of the body.