Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: Provided herein are methods and systems for use in identifying a subject with inflammatory bowel disease based on certain criteria, including genetics or serological markers measured in a sample obtained from the subject. Also provided are methods and systems for treatment of the inflammatory bowel disease in the subject. The systems described herein may include polygenic risk score (PRS), which is useful for determining the relative risk of the subject as compared with a reference population.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are methods, apparatus, and computer program products for suppressing content from ranked positioning in electronic correspondence based on rules-based scoring.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A method of determining a likelihood of presence of at least one type of arthritis in a hand of a patient is provided, the method comprising capturing an image of a hand of the patient, processing the hand image to determine at least one first predictive value indicative of presence or absence of arthritis in the hand based on presence or absence of a plurality of identifiable hand features in the hand image, the identifiable hand features including visible physical hand features that are usable to diagnose arthritis in the hand, receiving patient information from the patient, the patient information comprising a plurality of responses to a plurality of respective questions that are relevant to diagnosing arthritis in the hand, and determining a likelihood of presence of at least one type of arthritis in the hand using the at least one first predictive value and the patient information.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.

Abstract: A walking aid in the form of a walking stick 10 with a handle part 12 and a foldable support part 14. A rechargeable battery is provided in the handle part 12 to selectively illuminate a lighting element in the form of a plurality of LED's 28 in a lowermost section 16A of the support part 14.

Abstract: Provided herein are a method and apparatus configured to determine one or more consumer deals to present to a consumer. The method and apparatus may include receiving contextual data; accessing one or more databases containing consumer deals; determining a context under which to present a consumer deal to a consumer, the determined context selected from a plurality of contexts; selecting a set of workflow rules under which to determine the consumer deal to present to the consumer; analyzing the plurality of consumer deals based at least in part on the selected set of workflow rules; determining a selected consumer deal to present to the consumer; generating an electronic correspondence comprising the selected consumer deal; and transmitting the electronic correspondence to the consumer device for presenting the selected consumer deal to the consumer.

Abstract: Embodiments disclosed herein provide methods for modulating intestinal epithelial cell integrity, migration, proliferation, differentiation, maintenance and/or function in which the expression of Cp1orf106 or its protein product are modulated such that the stability of the protein is altered. In certain example embodiments, increasing the stability or preventing a decrease in the stability of Cp1orf106 protein increases the overall integrity of the intestinal epithelium, thereby resulting in a decreased incidence of inflammatory disease. Increased integrity or stability of the epithelium may prevent invasion of migratory cells such as cancer cells.

Abstract: In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Abstract: The present invention features a highly sensitive assay for detecting frameshift mutations for high throughput use. Also provided herein are methods for diagnosing or determining a predisposition for developing medullary cystic kidney disease type 1 (MCKD1) in a subject by detecting a frameshift mutation in the GC-rich variable number of tandem repeats (VNTR) sequence of the mucin 1 gene (MUC-1).

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Abstract: Provided herein are systems, methods and computer readable media for determining whether to suppress presentation of a promotion from a promotion program in an electronic correspondence to a consumer. An example system may performing operations comprising receiving a set of promotions selected for presentation to the consumer in the electronic correspondence, each promotion respectively associated with a promotion score representing an estimated acceptance of the associated promotion by the consumer, determining, using a rules-based filter comprising a set of rules, whether to modify the promotion score, including geofencing data and the consumer's previous promotion purchasing history, in an instance in which the promotion score is modified, determining whether to suppress presentation of the promotion in the electronic correspondence based at least in part on the modified promotion score.