Abstract: Systems and methods for running an application program on a database host is disclosed. According to some embodiments, the system comprises an agent installed on the database host. The system further comprises an application engine installed on an application server. The application engine is configured to create and deploy the agent to the database host to be installed. The agent is configured to command a daemon installed on the database host to download a container image of the application program based on a container image name received from the application server.

Abstract: The disclosed Hi-C protocol can identify genomic loci that are spatially co-located in vivo. These spatial co-locations may include, but are not limited to, intrachromosomal interactions and/or interchromosomal interactions. Hi-C techniques may be applied to many different scales of interest. For example, on a large scale, Hi-C techniques can be used to identify long-range interactions between distant genomic loci.

Abstract: The invention relates to an authentication interface located at a branch location comprising: a recognition unit, positioned in a direction towards an entrance of the branch location, that identifies a visitor based on a physical biometric, the recognition unit comprising at least one camera that receives image data associated with the visitor and performs a facial recognition based on the image data; a processing unit, coupled to the recognition unit, that identifies the visitor as a customer based on the facial recognition, the customer having a customer identifier associated with a customer profile; the processing unit generates a customer interaction event based on the customer profile and places the customer in a queue for servicing; and an interactive display, coupled to the queuing unit and processing unit, that displays a customized message to address the customer interaction event.

Abstract: Systems and methods for identifying financial transaction opportunities for individualized offers are disclosed. In one embodiment a method for offering rewards to a customer of a financial institution may include (1) a server comprising at least one computer processor identifying a customer spending opportunity for a customer to use a financial instrument issued by a financial institution to conduct a transaction involving the customer spending opportunity; (2) the server determining an incentive to offer the customer for using the financial instrument issued by the financial institution to conduct the transaction involving the customer spending opportunity; and (3) the server communicating the incentive to an electronic device associated with the customer.

Abstract: The present invention is directed to processes for preparing beta 3 agonists of Formula (I) and Formula (II) and their intermediates. The beta 3 agonists are useful in the treatment of certain disorders, including overactive bladder, urinary incontinence, and urinary urgency.

Abstract: Cameras capture time-stamped images of predefined areas. Occluded images that represent obstructed views of items are processed using a combination of machine-learning and a probabilistic approach based on a planogram for the items and the items' location within a store. Output from the machine-learning and probabilistic approach are item identifiers that identify the items as known items to the store.

Abstract: Cameras capture time-stamped images of predefined areas. The predefined areas are assigned to one or more zones. The images are processed to recognize items and persons within the zones. Custom metrics with respect to each zone relative to at least time durations, items, and persons are logged in a data store. An interface is provided to custom define queries that are processed against the data store. In an embodiment, the data store is mined to discover relationships between the metrics for each zone, and real-time actions are processed when predefined conditions are discovered from the metrics.

Abstract: A method of planning the correction of spinal deformations of a subject, by performing segmentation on a three dimensional image of the subject's spine in its erect neutral position, such that the positions and orientations of the vertebrae in a region of interest are characterized. Parameters relating to the alignment and position of the vertebrae are derived from the segmentation, followed by determining whether the parameters fall within an acceptable range desired for the spine of the subject. If not within the acceptable range, an alignment optimization is performed on the vertebrae to bring the parameters within the acceptable range, to reduce the spinal deformations of the subject's spine. The alignment optimization is performed by taking into consideration limitations arising from the dynamic range of motion of the vertebrae as determined by analyzing images of the subject's spine, while the subject is in positions of maximum bending.

Abstract: Digital cross-marketing into digital channels is triggered by a cue message in a linear and non-linear television programming stream. The cue message provides advance warning to a local service provider about an upcoming break in the programming stream and also provides information about the break. In addition to triggering insertion of a local ad into the programming stream in accord with the instructions in the cue message, the cue message also initiates action to run one or more ads in other digital media. For example, the cue message may trigger ads in mobile media, Internet-based media, the Internet of Things, and other media.

Abstract: The system and method discussed herein can capture images from one or more video streams of a store area, can use deep learning to identify people in the images as being a store employee or a shopper, and can use the deep learning to track movement of the people within the store. The tracked movement can provide information that is useful to operators of the store, such as where store employees are, how long they have been in certain areas of the store, which areas of the store need more employees, where most shoppers are concentrated within the store, which areas of the store are popular, and so forth. The system and method can provide instructions to employees on mobile devices or kiosks, in response to the employee locations and activity in the store area. The system and method can also log the movement information, for downstream use.

Abstract: A person's fall risk may be determined based on machine learning algorithms. The fall risk information can be used to notify the person and/or a third party monitoring person (e.g. doctor, physical therapist, personal trainer, etc.) of the person's fall risk. This information may be used to monitor and track changes in fall risk that may be impacted by changes in health status, lifestyle behaviors or medical treatment. Furthermore, the fall risk classification may help individuals be more careful on the days they are more at risk for falling. The fall risk may be estimated using machine learning algorithms that process data from load sensors by computing basic and advanced punctuated equilibrium model (PEM) stability metrics.

Abstract: Disclosed embodiments provide a technical improvement for providing visualization of vehicle speed via a speedometer in an instrument cluster of a vehicle/driver interface of a transportation vehicle by providing multiple indicia of vehicle speed and rate of change of speed in a manner that connotes vehicle motion so as to enhance the driving experience for the driver and improve safety.

Abstract: An apparatus in one embodiment comprises at least one processing platform including a plurality of processing devices. The processing platform is configured to execute a cloud-native application utilizing a plurality of micro-services each associated with a different set of one or more underlying databases, to capture state of the cloud-native application for a particular point in time, and to perform operational recovery of the cloud-native application for the particular point in time utilizing the captured state. Capturing state of the cloud-native application for the particular point in time comprises capturing the state in accordance with a directional dependency graph that characterizes relationships between the micro-services and the associated databases utilized in executing the cloud-native application in order to ensure directional consistency between the databases in the captured state.

Abstract: Systems and methods for backing up and restoring serverless applications are provided. A serverless application is queried to identify the functions and services used. These functions and services are transformed into a manifest or graph that allows the relationships of the serverless application to be identified in an automated manner. The serverless application can be backed up and/or restored using the manifest.

Abstract: An electronic medical record (EMR) analysis machine automatically clusters electronic medical records to produce an initial EMR analysis model and to identify high-value EMR documents such that human analysts can focus effort on labeling only high-value EMR documents to iteratively and extremely efficiently train an EMR analysis model. High-value sample EMR documents are identified as those whose membership in one or more clusters is most ambiguous, i.e., nearest the cluster boundary.

Abstract: A system for tracking telephone calls made in response to advertising campaigns in electronic or other media is provided. The system permits an advertiser to associate specific and distinct telephone numbers with associated advertising campaigns. The system further modifies advertiser-provided information in response to the advertising campaign to which a potential customer responds, and includes the associated telephone number in the modified advertiser information. The system processes telephone calls made to the selected telephone numbers, and provides reports to advertisers of call data associated with the respective advertising campaigns.

Abstract: Variable digital optical images may be fabricated using generic optical matrices. A generic optical matrix may have pixels corresponding to color and subpixels corresponding to noncolor effects. The pixels may include first pixels corresponding to a first color and second pixels corresponding to a second color. The subpixels may include first subpixels corresponding to a first noncolor effect and second subpixels corresponding to a second noncolor effect. Individual ones of the pixels and/or subpixels of the generic optical matrix may be obliterated according to a negative while remaining pixels and/or subpixels may be preserved. The remaining pixels and/or subpixels may form an optical image corresponding to a base image. The optical image may be colored based on the remaining pixels. The optical image may exhibit noncolor effects corresponding to the remaining subpixels. The optical image may comprise a hologram or a stereo image.

Abstract: In a method of searching for cases, a list of topics is presented by a computer for selection of one of the topics by a user. The one selected topic relates to a first object and is associated with a goal. At least one second object is determined by the computer. The at least one second object differs from the first object but includes a same attribute as the first object. The computer searches for cases that teach solutions for achieving the goal for the at least one second object. Cases that resulted from the searching are presented by the computer to the user.

Abstract: Cameras capture time-stamped images of predefined areas. The images are processed to make decisions as to when a person depicted in the images takes possession of or is disposed of an item depicted in the images. Possessed items are added to a shopping cart maintained for the person and dispossessed items are removed from the shopping cart.