Abstract: A method for producing seed corn from the corn plants, for use in growing subsequent corn plants, includes measuring a moisture content of corn kernels on ears of the corn plants in the field and removing, by a combine harvester, the ears of corn from the corn plants when the moisture content satisfies a threshold moisture content. The method then includes separating the corn kernels from cobs of the ears of corn onboard the combine harvester and collecting the separated corn kernels for use as seed corn, whereby one or more subsequent corn plants can be grown from the collected corn kernels.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: The disclosure relates to an apparatus and method for liquid cooling of an electronic component. A housing includes an insertion slot and defines at least one component chamber for carrying the electronic component. A fluid inlet and fluid outlet are provided on the housing. A liquid coolant circuit passes through the housing at least from the inlet to the outlet.

Abstract: Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.

Abstract: Systems and methods for matching content elements to surfaces in a spatially organized 3D environment. The method includes receiving content, identifying one or more elements in the content, determining one or more surfaces, matching the one or more elements to the one or more surfaces, and displaying the one or more elements as virtual content onto the one or more surfaces.

Abstract: A multivariate predictive system processes usage based data that includes a database engine that provides access to a plurality of database management systems that mine diverse sources of usage based data. A digital filter selectively filters data streams that include usage based data. A sampler automatically divides the filtered data into sample groups and stores the sample groups in a memory. The sampler divides the filtered data according to insurance rating variables processed by a processor programmed to underwrite an insurance product and rate that insurance product. Some samplers store the divided filter data in a local memory. A multiplier multiples rating factors preprogrammed with the insurance rating variables with a base rate of insurance to determine an insured's insurance premium.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: A method for indicating a probing target for a fabricated electronic circuit including: generating an electronic, three-dimensional model based on manufacturing layout information of a fabricated circuit; obtaining, with a vision system, visual environment information for the fabricated circuit; scaling and orienting the three-dimensional model by a scaler and mapper based on the visual environment information; overlaying the three-dimensional model with the visual environment information to produce a correlated image; obtaining an identification of a desired network node of the fabricated circuit; and indicating a probing target, the probing target corresponding to the desired network node of the fabricated circuit.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.

Abstract: A test and measurement system can include a data store configured to store augmentation settings for dynamically augmenting a physical testing environment and a computing device coupled to the data store. The computing device can be configured to receive an input feed from the physical testing environment, create an augmentation image based on the augmentation settings and the input feed, and output the augmented image to be overlaid on the physical testing environment to augment a user's view of the physical testing environment.

Abstract: A method comprising categorizing nodes of a fabricated circuit as being priority nodes and nodes as being inferior nodes; evaluating a first priority node by automatically designating for verification the first priority node, and ascertaining whether a measured signal from the first priority node meets a pass-fail criterion for the first priority node; evaluating, when the measured signal from the first priority node meets the pass-fail criterion, a second priority node by automatically designating for verification the second priority node, and ascertaining whether a measured signal from the second priority node meets a pass-fail criterion for the second priority node; and evaluating, when the measured signal from the first priority node does not meet the pass-fail criterion, a first inferior node, by automatically designating for verification the first inferior node, and ascertaining whether a measured signal from the first inferior node meets a pass-fail criterion for the first inferior node.

Abstract: A wirelessly operable cooking appliance for cooking food products includes a wireless communication device. A computing device, such as a smartphone, can wirelessly communicate with the cooking appliance to control and monitor the cooking appliance.

Abstract: A test and measurement system can include a data store configured to store augmentation settings for dynamically augmenting a physical testing environment and a computing device coupled to the data store. The computing device can be configured to receive an input feed from the physical testing environment, create an augmentation image based on the augmentation settings and the input feed, and output the augmented image to be overlaid on the physical testing environment to augment a user's view of the physical testing environment.

Abstract: A wirelessly operable cooking appliance for cooking food products includes a wireless communication device. A computing device, such as a smartphone, can wirelessly communicate with the cooking appliance to control and monitor the cooking appliance.

Abstract: A method for indicating a probing target for a fabricated electronic circuit including: generating an electronic, three-dimensional model based on manufacturing layout information of a fabricated circuit; obtaining, with a vision system, visual environment information for the fabricated circuit; scaling and orienting the three-dimensional model by a scaler and mapper based on the visual environment information; overlaying the three-dimensional model with the visual environment information to produce a correlated image; obtaining an identification of a desired network node of the fabricated circuit; and indicating a probing target, the probing target corresponding to the desired network node of the fabricated circuit.

Abstract: A system for verifying signals in electronic circuits that includes a waveform translator and a test-and-measurement instrument. The waveform translator is configured to receive a simulated waveform for a node of a simulated prototype circuit and to translate the simulated waveform into a translated waveform. The test-and-measurement instrument is configured to obtain a measured waveform and to determine a deviation of the measured waveform from the simulated waveform using the translated waveform.

Abstract: A method comprising categorizing nodes of a fabricated circuit as being priority nodes and nodes as being inferior nodes; evaluating a first priority node by automatically designating for verification the first priority node, and ascertaining whether a measured signal from the first priority node meets a pass-fail criterion for the first priority node; evaluating, when the measured signal from the first priority node meets the pass-fail criterion, a second priority node by automatically designating for verification the second priority node, and ascertaining whether a measured signal from the second priority node meets a pass-fail criterion for the second priority node; and evaluating, when the measured signal from the first priority node does not meet the pass-fail criterion, a first inferior node, by automatically designating for verification the first inferior node, and ascertaining whether a measured signal from the first inferior node meets a pass-fail criterion for the first inferior node.

Abstract: A test and measurement system can include a data store configured to store augmentation settings for dynamically augmenting a physical testing environment and a computing device coupled to the data store. The computing device can be configured to receive an input feed from the physical testing environment, create an augmentation image based on the augmentation settings and the input feed, and output the augmented image to be overlaid on the physical testing environment to augment a user's view of the physical testing environment.

Abstract: A method for managing vulnerability data may include: (1) ingesting, by a data ingestion engine, vulnerability data from a plurality of sources; (2) normalizing, by a data normalizer module, the vulnerability data into a plurality of data records; (3) generating, by a data processing module, a dynamic risk score for each data record; (4) storing, by a risk record register, a risk record for each data record, wherein the risk record may include the dynamic risk score, a priority level, an identifier for a software application, and a software dependency; (5) selecting, by a control policy selection engine, a control policy based on one of the dynamic risk scores; (6) implementing, by the risk record register, the selected control policy; (7) monitoring, by the risk record register, implementation of the control policy; and (8) updating, by the risk record register, the control policy selection engine based on the monitoring.