Abstract: A device may process data associated with a first entity and a second entity, using one or more machine learning techniques, to identify a set of trends associated with a set of documents. The device may receive new documents associated with the first entity and the second entity. The device may generate, based on the set of trends, a first set of exceptions indicating that a new document is associated with a first type of error. The device may generate, using a similarity analysis technique, a second set of exceptions indicating that a new document is associated with a second type of error. The device may communicate with one or more systems to perform one or more actions associated with correction or prevention of processing errors relating to the new document based a claim relating to the first set of exceptions or the second set of exceptions.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. There is disclosed a method, for a first network entity, for informing a change in coverage enhancement usage in a network comprising the first network entity and a user equipment (UE). The method comprises, in response to determining that a restriction on the use of coverage enhancement has changed for the UE, transmitting, to the UE, a first message including an indication of the change.

Abstract: In some implementations, a system may receive, from a barcode reader, read data associated with the barcode reader reading a barcode associated with a product. The system may receive, from an imager, image data associated with an image that depicts packaging of the product. The system may decode the read data to obtain product information that is associated with the product. The system may generate a product entry that associates the product information with the image data. The system may perform an action associated with the product entry to enable an image processing model to identify the product information based on the packaging depicted in the image.

Abstract: A system for monitoring networked computing devices with integrated electronic data encryption and decryption mechanism is provided. In particular, the system may comprise one or more host applications which may interact with an API layer to transmit encrypted host-related data through a secure data rails to a consolidated data repository. One or more downstream monitoring applications may retrieve and decrypt the host-related data from the consolidated data repository for analysis. In this way, the system may provide a secure, scalable way to monitor host computing systems and flow of sensitive electronic data.

Abstract: A computer-implemented system, platform, computer program product, tool, and/or method for capturing data and metadata for providing traceability of data analytic pipeline runs that includes: triggering a first pipeline run; obtaining a pipeline configuration for the first pipeline run, including one or more tasks; capturing and storing the pipeline configuration and starting inputs for the first pipeline run; executing the first pipeline run; capturing, before each task in the first pipeline run is executed, input data and input metadata for each task; capturing, after each task in the first pipeline run is executed, output data and output metadata for each task; and capturing the alerts for the first pipeline run.

Abstract: This disclosure relates generally to a sunscreen composition containing visibly transparent biocompatible ultraviolet blocking polymer nanoparticles. The sunscreen composition comprising polydimethylsiloxane (PDMS) nanoparticles, at least one flavoring agent, at least one coloring agent, at least one stabilizer, and at least one preservative, in a defined form, wherein size of the PDMS nanoparticles ranging from 200 to 1200 nm. The size of the PDMS nanoparticles ranging from 200 to 500 nm for air medium and from 800 to 1200 nm for water medium. The PDMS nanoparticles comprise a PDMS polymer having terminal functional group selected from alkyl, alkoxy, vinyl, hydroxyl, or a combination thereof. The sunscreen composition is available in the defined form selected from a group consisting of a skin cream, a skin lotion, a powder, a gel, and a sprayable liquid.

Abstract: A method includes receiving, by a computing device, metrics identifying vulnerabilities in an application; collecting, by the computing device, information related to the vulnerabilities; assigning, by the computing device, weights to the metrics using collected information; applying, by the computing device, a machine learning model on the weighted metrics; and generating, by the computing device, a predictive score for the vulnerabilities using the machine learning model.

Abstract: A process for purification of antibody or fusion protein by affinity chromatography wherein the elution is performed with high salt concentration which reduce turbidity in protein mixture during neutralization steps. The present invention provides an improved process of purifying antibodies through affinity chromatography using high salt-based elution.

Abstract: In one embodiment, a device forms a plurality of clusters of network paths used to convey traffic for an online application by applying clustering to telemetry data for those network paths. The device determines a predictability metric for a particular cluster in the plurality of clusters. The device provides an indication of the predictability metric for the particular cluster for display. The device enables, based in part on the predictability metric, predictive routing for the network paths in the particular cluster.

Abstract: Active emissive layers (e.g., of a light-emitting electrochemical cell (LEC)) are provided and can comprise zero-dimensional (0D) perovskite material in combination with a three-dimensional (3D) perovskite material, as well as electroluminescent devices (e.g., LECs) utilizing such active emissive layers and methods of fabricating and using such active emissive layers and electroluminescent devices. The 0D perovskite material can be incorporated into a matrix film of the 3D perovskite material. The 0D perovskite material can be, for example, perovskite nanocrystals (PNCs). The 0D perovskite material can be, for example, Cs4PbBr6, and the 3D perovskite material can be, for example, CsPbBr3.

Abstract: In one embodiment, a device obtains telemetry data for a path in a network that is used to convey traffic associated with an online application. The device identifies, based on the telemetry data, oscillations of the path between a first state in which the path provides acceptable user experience for the online application and a second state in which the path does not provide acceptable user experience for the online application. The device determines a stability metric that quantifies the oscillations of the path. The device provides an indication of the oscillations of the path, based in part on the stability metric.

Abstract: A flow angle sensor includes a sensing element, a background component connected to and movable with the sensing element, the background component having a marker, a lens adjacent the disk, an image sensor axially aligned with the lens, a light source positioned to illuminate the disk, and an image processing system connected to the image sensor. The image processing system provides an angle of attack output based on a location of the marker sensed by the image sensor.

Abstract: A method of estimating available bandwidth for a network comprising a transmitting device and a receiving device, the method comprising: transmitting a media packet stream over the network to the receiving device, the media packets comprising media data for streaming media at the receiving device; transmitting one or more probe packets over the network so as to test the available bandwidth of the network, wherein the probe packets comprise duplicate data of the media packet stream; and determining, during transmission of the probe packets, a measure of network bandwidth availability in dependence on one or more metrics associated with receiving the media packet stream at the receiving device.

Abstract: The present invention relates to novel inhibitors of salt-inducible kinase-3 (SIK3), methods of preparing them, pharmaceutical compositions containing them and methods for the treatment and/or prevention of kinase mediated diseases or disorders using them.

Abstract: An access network can include a plurality of remote nodes connected to a principal controller. The principal controller can experience an event storm when one or more of the plurality of remote nodes report an access network event at the same or substantially the same time. One or more remote nodes can mitigate such an event storm at the principal core by delaying by an event reporting delay the reporting of the access network event to the principal core. The event reporting delay can be based on an event delay policy associated with a given remote node. The even reporting delay can be different for each remote node or a group of remote nodes so that the principal core does not receive reports from the plurality of remote nodes so as to cause an event storm which can negatively impact the access network, one or more network devices, or both.

Abstract: A surgical smoke evacuation system includes an imaging device configured to capture an image of a surgical site, a smoke evacuator in communication with the imaging device and including a suction generator configured to create a vacuum pressure, an electrosurgical pencil including a nozzle, a suction conduit coupling the nozzle to the smoke evacuator, a processor, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the surgical smoke evacuation system to: identify a feature in the captured image of the surgical site; classify an amount of smoke in the image using a machine learning network based on the identified feature; and dynamically adjust the vacuum pressure generated by the smoke evacuator based on the classified amount of smoke in the image.

Abstract: A computing device is provided, including a storage device configured to store image data and a processor coupled to a memory that stores instructions, which, upon execution by the processor, cause the processor to select a target image from the image data. The processor is further configured to display conversion possibility information that indicates that the target image can be converted into a larger image that has a larger field of view by stitching other images together with at least a portion of the target image and an associated selector. The processor is further configured to display the larger image upon receiving a user selection of the selector.

Abstract: A method for facilitating session data persistence and management is disclosed. The method includes receiving a first indication from an application, the first indication relating to an initiation of a first session; compiling session data from the application, the session data relating to a state of the application; receiving a termination indication from the application, the termination indication relating to a termination of the first session; persisting, in a session cache, the session data based on the termination indication; receiving a second indication from the application, the second indication relating to an initiation of a second session; identifying the corresponding session data in the session cache by using the second indication; and automatically injecting the identified session data into the application.

Abstract: This disclosure relates to method and system for optimally fitting shapes in a 2-Dimensional (2D) sheet. The method includes receiving discretized geometric data corresponding to a 2D shape; generating a pair of copies of the 2D shape including a first copy and a second copy using the discretized geometric data; determining an optimal arrangement of the first copy and the second copy on the 2D sheet to obtain an optimally arranged pair; generating first copy of the optimally arranged pair and second copy of the optimally arranged pair; determining a pair combination with a minimum distance between the first copy and the second copy; calculating a maximum number of repetitions possible for the pair combination on the 2D sheet based on sheet dimensions and a set of pair combination parameters; and identifying an optimal pair combination from a plurality of pair combinations based on the maximum number of repetitions.

Abstract: Methods and systems are described herein for a mechanism for detecting model bias using a test model to compare predictions for specific categories of data. Thus, the system may detect category-specific model bias and/or present alternative predictions, for example, via overfitted and alternative machine learning models. Another mechanism for detecting model bias is to use residual data from predictions obtained from a machine learning model as the machine learning model processes different datasets (e.g., a training dataset and a compare dataset).