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: A system for acquiring a test-and-measurement signal from a device under test (DUT) including a test-and-measurement probe, a user interface, a robot, and a controller. The probe is configured to acquire an electronic signal from the DUT. The user interface displays a digital representation of a physical electronic circuit of the DUT, including portrayals of virtual nodes that correspond to actual nodes on the DUT. The robot is configured to automatically position the probe with respect to the DUT. The controller is configured to receive from the user interface an electronic indication of a selected node of the digital representation of the physical electronic circuit, where the selected node is one of the virtual nodes. The controller is further configured to provide instructions to the robot to automatically position the probe to a position on the physical electronic circuit corresponding to the actual node.

Abstract: Combine harvesters are provided for use in harvesting seed corn from corn plants in fields. In connection therewith, a method for producing such 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 one of the combine harvesters, 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 bite block and method of using the same in an animal's mouth. The bite block includes a gripping region, a bite receiving region and a transition region therebetween. A person's middle finger is inserted through an aperture defined in the gripping region. The person's index finger rests in an indentation in a top of the gripping region above the aperture. A lingual plate on the bite receiving region is elliptically-shaped and has a concave end wall that rests against the animal's tongue. Upper and lower troughs are located between the bite receiving and transition regions to receive maxillary and mandibular teeth, respectively, therein. The lingual plate is transversely-oriented relative to the bite block's longitudinal axis. The lingual plate is generally elliptical in shape when the bite block is viewed from a second end, being wider than tall, and includes a concave end face that is seated against the tongue.

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: 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 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 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 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.