Abstract: The present disclosure relates to compounds that are capable of inhibiting the ENPP1 gene and treating a variety of cardiac conditions. The disclosure further relates to methods of treating or preventing cardiac conditions, such as myocardial infarction and heart failure.

Abstract: This invention concerns a sole element for a cleated article of footwear, in particular for a football shoe. The sole element includes a composite element with an anisotropic bending property. The sole element further includes a polymer element, and the polymer element at least partially covers the composite element of the sole element.

Abstract: A system can monitor event data corresponding to a current user experience of a requesting user during a current application session with a network service. Based on the event data, the system generates one or more representations corresponding to the current user experience of the requesting user, and executes a machine learning model to process the one or more representations in order to predict a negative user experience for the requesting user within a future time frame during the current application session. In response to predicting the negative user experience, the system implements one or more corrective actions during the current application session through the service application to prevent or mitigate the predicted negative user experience.

Abstract: An instrument comprising a body comprising a distal end spaced apart from a proximal end relative to a longitudinal axis and a handle coupling located near the proximal end, the body defining a channel miming between the distal end to the proximal end; a drive comprising a first connector located adjacent the distal end and adapted to be connected to a driven instrument, a second connector located adjacent the proximal end and adapted to be connected to a driving instrument, and a drive shaft arranged in the channel, the drive shaft coupling the second connector to the first connector; and an adjustable handle located near the distal end, the adjustable handle comprising a grip spacing apart a leading end from a trailing end along a handle axis, the leading end coupling the handle to the handle coupling, the trailing end shaped to define an impaction plate; wherein the adjustable handle is arrangeable relative to the body in a first and a second position, in the first position the leading end is arranged rela

Abstract: Methods and systems are described for implementing a photodynamic therapy. An example method may comprise determining, during photodynamic therapy and using a plurality of optical probes spatially distributed within a patient, data indicative of one or more of a photodynamic therapy dosage, a fluence rate of a photodynamic therapy treatment light, or a reactive oxygen species concentration associated with corresponding locations of the plurality of optical probes. The example method may comprise changing, based on the data, one or more treatment parameters associated with providing a photodynamic therapy.

Abstract: The present invention provides novel methods for exponential amplification of nucleic acid's fluorescence in situ hybridization (FISH) signal with high sensitivity and specificity. The present method thereby allows for FISH to be used in high-throughput screening methods and diagnostics. In one aspect, the invention comprises designing a primary click-amplifying FISH (clampFISH) probe for binding to a target sequence.

Abstract: An apparatus for generating a three-dimensional (3D) model of cardiac anatomy via machine-learning, wherein the apparatus includes a process and a memory containing instructions configuring the processor to receive a set of images of a cardiac anatomy pertaining to a subject, generate an 3D data structure representing the cardiac anatomy as a function of the set of images using a cardiac anatomy modeling model, generate an initial 3D model of the cardiac anatomy, refine the generated initial 3D model of the cardiac anatomy as a function of the 3D data structure representing the cardiac anatomy, and generate a subsequent 3D model of the cardiac anatomy as a function of the refinement.

Abstract: A method is disclosed which includes receiving an incoming time-varying signal as ambient signal, applying a signal cancellation filter to the incoming time-varying signal to thereby generate an attenuated version of the incoming time-varying signal, selectively choosing one or more selected classes of signals to be broadcasted while other signals are to be attenuated, continually applying the incoming time-varying signal to a classifier to identify presence of the one or more selected classes in the incoming time-varying signal, adding a snippet of a pre-recorded signal associated with each of the identified classes to thereby generate a string of signal snippets associated with the identified classes, and repeating in a loop, combining the attenuated version of the received time-varying signal with the repeated string of signal snippets and broadcasting the combination.

Abstract: The present invention facilitates efficient and effective information storage device operations. In one embodiment, a system comprises: a plurality of processing cores configured to process information and a debug system coupled to the plurality of cores. The plurality of processing cores are configured to perform respective test operations on the respective processing cores. The debug system is configured to gather results of the test operations on a flexible compaction basis, wherein a compacted indication of a passing test result is available at a debug cluster basis and compacted indications of a failed test result available at the debug cluster basis are further resolved to identify a failing processing core within the cluster. The processing cores are organized in clusters, wherein a set comprising more than one of the plurality of processing cores and less than all of the processing cores is considered a cluster.

Abstract: A framework for interpreting machine learning models is proposed that utilizes interpretability methods to determine the contribution of groups of input variables to the output of the model. Input variables are grouped based on dependencies with other input variables. The groups are identified by processing a training data set with a clustering algorithm. Once the groups of input variables are defined, scores related to each group of input variables for a given instance of the input vector processed by the model are calculated according to one or more algorithms. The algorithms can utilize group Partial Dependence Plot (PDP) values, Shapley Additive Explanations (SHAP) values, and Banzhaf values, and their extensions among others, and a score for each group can be calculated for a given instance of an input vector per group. These scores can then be sorted, ranked, and then combined into one hybrid ranking.

Abstract: A method, comprising: receiving, by a computing device, a user indication to start a teaching mode in which the user can teach an instance of a process; configuring the computing device to start the teaching mode in response to receiving the indication; capturing, when in the teaching mode, first information corresponding to a first stream of events captured by the computing device during performance of a first plurality of actions by the user when interacting with the computing device to perform the process; generating, using the first information, a first visualization of at least some of the first plurality of actions; and displaying the first visualization on a graphical user interface of the computing device.

Abstract: A method of detecting improper routing of a seat belt having a lap belt portion and a shoulder belt portion by an occupant of a vehicle includes detecting a movement of the seat belt indicating that the shoulder belt portion was placed behind a back of the occupant, and providing a warning indicting improper routing of the shoulder belt portion of the seat belt if the movement of the seat belt indicates that the shoulder belt portion was placed behind the back of the occupant.

Abstract: Systems, computer program products, and methods are described herein for tracking network traffic data and identifying rogue access patterns in an electronic network. The present invention is configured to receive a plurality of peer user accounts; receiving a plurality of peer user data associated with the plurality of peer user accounts; generating a relational mapping based at least on the predetermined group; and generating a plurality of peer historical data access patterns based on the plurality of peer user data over the historical predetermined period. The present invention may further be configured to receive a primary user account; receive a plurality of primary user data; generate a plurality of primary user access patterns; compare the plurality of peer historical data access patterns and the plurality of primary user access patterns to generate an abnormality score; and determine whether the abnormality score meets the abnormality threshold.

Abstract: Described are example systems and methods generally directed to systems and methods for a real-time content recommendation service employing active guidance to facilitate efficient and effective recommendations of content to a user. A plurality of characteristic information associated with content items from a corpus of content items can be obtained and used to generate a content graph and a discovery map/decision tree. The discovery maps/decision trees may include content items and/or segments of content items that are arranged and connected in the discovery maps/decision trees based on their associated characteristic information to facilitate guided recommendations of content based on user interactions. The discovery map/decision tree may then be accessed to provide guided recommendations of content.

Abstract: Systems, methods, and devices for high-throughput data ingestion from a plurality of disparate and independent sources, and decentralized normalization, storage, and analysis of ingested data. A system includes a shared permissioned ledger comprising a plurality of independent ledger instances. The system includes a processor in communication with the shared permissioned ledger, wherein the processor matches a plurality of data entries stored on the shared permissioned ledger that each pertain to a transaction between a first client and a second client. The processor determines whether each of the plurality of data entries agree with each other to a threshold degree regarding the transaction between the first client and the second client.

Abstract: Described are examples for calculating and exposing network capacity and congestion to applications. A network entity such as a radio access network (RAN) intelligent controller (RIC) or virtual base station component receives measurements of a signal quality for a plurality of user devices connected to a RAN. The network entity estimates a deliverable throughput of a wireless link for a user device of the plurality of user devices based on at least the measurements. The network entity can consider other factors such as a number of competing users, queue sizes of the user device and of the competing users, or a scheduling policy. The network entity provides the deliverable throughput to an application server for an application of the user device communicating with the application server via the RAN. The application server can adapt a data rate for the application and the user device based on the deliverable throughput.

Abstract: A method for 2D semantic keypoint detection and tracking is described. The method includes learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. The method also includes predicting, using a shared image encoder backbone, salient object keypoints within a current image of a video stream. The method further includes inferring an object represented by the predicted, salient object keypoints within the current image of the video stream. The method also includes tracking the inferred object by matching embedded descriptors of the predicted, salient object keypoints representing the inferred object within the previous images of the video stream based on the descriptor embedding space model.

Abstract: Provided herein are devices comprising: a bottom plate comprising one or more electrodes configured for performing droplet operations in a droplet operations gap formed between the bottom plate and a top plate, the top plate having a top surface comprising one or more irregularities or protrusions such the top surface is non-planar; and a cover plate configured to be disposed over the top plate, the cover plate comprising one or more alignment features for positioning the cover plate with respect to the one or more irregularities or protrusions of the top surface of the top plate.

Abstract: The technology disclosed relates to method and system of monitoring and controlling exfiltration of enterprise data stored on the cloud computing service (CCS). The method and system includes using a cross-application monitor to detect a could service application programming interface (API) in use and a function or activity being performed via the CCS API. The method and system determines the function or activity by parsing a data stream based on the CCS API and identifies a content of the enterprise data subject to content control by the application of a content inspection rule data subject to content control. The method and system selects a security action being applied to the enterprise data to prevent exfiltration based on the classification of the inspected data and policies applicable to the content subject to content control.

Abstract: A device for processing signals indicative of health in a subject, the device comprising circuitry operable to receive input comprising a first signal indicative of health and a signal indicative of health process the first signal indicative of health process the second signal indicative of health and provide an output arising from the processing of the first signal indicative of health and the second signal indicative of health.