Abstract: A seal assembly for a rotary machine, such as a turbine engine, may include a seal rotor comprising a rotor face, a seal slider comprising a slider face, a seal stator, wherein the seal slider is slidably coupled to the seal stator, and wherein the slider face and the rotor face define a primary seal. The seal slider may be configured to slidably engage and retract the slider face with respect to the rotor face. The seal assembly may further include a secondary seal disposed between the seal slider and the seal stator. The secondary seal may be configured to compress and rebound and/or to expand and rebound, over at least a portion of a range of motion of the seal slider.

Abstract: Techniques for providing remote patient assistance when network connectivity is unavailable include receiving, from a provider-side side remote patient monitoring (RPM) platform, a healthcare plan assigned to a patient; and while disconnected from the provider-side RPM platform: monitoring the patient; in response to the monitoring, determining whether to provide the medical information to the patient; and presenting the medical information to the patient, wherein the medical information is based on the healthcare plan and the monitoring.

Abstract: A hamburger bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, a filling, a bun and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited for the delivery of healthy ingredients.

Abstract: An everything bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, an aperture, a filling and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited for the delivery of healthy ingredients.

Abstract: A hot dog bone pet treat for providing nutrition for a dog is presented. The pet treat has a top, a bottom, a filling, a bun and one or more toppings. The filling may include one or more ingredients such as wheat flour, corn syrup, glycerin, gelatin, wheat protein lecithin, rosemary extract, potato flour and vegetable glycerin. Toppings are placed upon the top of the pet treat. The toppings include at least one of meat, cheese powder, potato, sweet potato, oatmeal. The meat is preferably bacon, beef, salmon, chicken, etc. The pet treats are highly palatable to pets and therefore very well-suited to delivery of health ingredients.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for programmatically determining and adjusting electronic bid values for a digital content object using a machine learning model.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for programmatically determining and adjusting electronic bid values for a digital content object using a machine learning model.

Abstract: A system to analyze heart data includes a memory configured to store echocardiographic strain image data. The system also includes a processor operatively coupled to the memory and configured to segment the echocardiographic strain image data. The processor is also configured to analyze the segmented echocardiograph strain image data to generate a point cluster of pixels. The processor is also configured to stitch together points in the point cluster to generate a continuous curve that represents the echocardiographic strain image data. The processor is further configured to analyze the continuous curve to identify a heart condition.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for programmatically determining and adjusting electronic bid values for a digital content object based on different conversion rates during different network time periods.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for programmatically determining and adjusting electronic bid values for a digital content object based on different conversion rates during different network time periods.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: An illustrated view of an exemplary ball pod for holding and transporting balls, such as tennis balls, baseballs, etc. is presented. The ball pod is useful for allowing easy access to the balls and refreshments while playing or practicing a game. The ball pod is easy to transport the balls from one location to another location and is efficient in use and accessibility. Furthermore, the ball pod is useful for securely holding refreshments for the player in order to refresh or hydrate the player during the game or the practice. The ball pod may also hold other items such as various player's garments (warm-up tops, bottoms, etc.), towels, personal items (smart phones, keys, wallet), etc. The ball pod has further uses such as, but not limited to, poolside holding refreshments, personal items, towels, street clothes), bar-b-que (holding utensils, condiments, aprons, towels, items to be grilled etc.

Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.

Abstract: Embodiments of the present disclosure provide methods, systems, and apparatuses for computing a channel incrementality ratio using a machine learning model.