Abstract: A bone material removal device, including a tubular element comprising a proximal end and a distal end, a shaft received within the tubular element and comprising a proximal end and a distal end, a cutting tooth movably coupled to the distal end of the shaft and a shaft displacement actuator at the proximal end of the tubular element rotatably coupled to the shaft, wherein at least partial rotation of the actuator in a first direction brings the cutting tooth to travel from a closed retracted position to an open extended position.

Abstract: An approach is provided for determining vehicle maneuver events. The approach, for example, involves determining sensor data from a sensor of a device associated with a vehicle. The sensor data includes a maneuver parameter represented using a device frame of reference. The approach also involves transforming the maneuver parameter from the device frame of reference to an Earth frame of reference. The approach further involves automatically detecting a maneuver event of the vehicle based on the maneuver parameter as transformed to the Earth frame of reference. The approach further involves providing the detected maneuver event to a signaling unit associated with the vehicle.

Abstract: The invention relates to the field of nuclear technologies, in particular to an oxide-based uranium-plutonium nuclear fuel for an atomic power station with thermal neutron reactors. The technical result of the invention is the development of a REMIX-type fuel composition formulation making it possible, in the nuclear fuel cycle, to involve fissile nuclear materials regenerated from spent nuclear fuel with the simultaneous use of enriched natural uranium, and also moreover providing a solution to the problems of separately using previously isolated plutonium (including weapons-grade plutonium), of reducing the quantity of spent nuclear fuel by recycling fissile materials from spent nuclear fuel during the lifespan of a nuclear reactor (up to 5 recyclings), of economizing on natural uranium for manufacturing fuel and, as a result, of making the nuclear fuel cycle self-sustainable.

Abstract: A method for use in a communication network is provided.

Abstract: A method includes receiving a plurality of data points including electrophysiological (EP) values measured at respective positions in at least a portion of an organ of a patient. Some of the EP values are classified as outlier values in accordance with a defined criterion. A visual representation of at least the portion of the organ is derived from the plurality of data points. The visual representation represents the EP values with respective colors, and visualizes less than all the outlier values, by performing one or both of (a) identifying outlier values that deviate from respective neighboring EP values by less than a defined deviation, and representing the outlier values using colors that match the neighboring EP values, and (b) setting for the visual representation a mapping, which maps the EP values to the colors and which excludes at least some of the outlier values.

Abstract: An approach is provided for generating synthetic image data for machine learning. The approach, for instance, involves determining, by a processor, a set of parameters for indicating an action by one or more objects. The action is a dynamic movement of the one or more objects through a geographic space over a period of time. The approach also involves processing the set of parameters to generate synthetic image data. The synthetic image data includes a computer-generated image sequence of the one or more objects performing the action in the geographic space over the period of time. The approach further involves automatically labeling the synthetic image data with at least one label representing the action, the set of parameters, or a combination thereof. The approach further involves providing the labeled synthetic image data for training or evaluating a machine learning model to detect the action.

Abstract: A system and method for detecting abnormal device traffic behavior. The method includes creating a baseline clustering model for a device based on a training data set including traffic data for the device, wherein the baseline clustering model includes a plurality of clusters, each cluster representing a discrete state and including a plurality of first data points of the training data set; sampling a plurality of second data points with respect to windows of time in order to create at least one sample, each sample including at least a portion of the plurality of second data points, wherein the plurality of second data points are related to traffic involving the device; and detecting anomalous traffic behavior of the device based on the at least one sample and the baseline clustering model.

Abstract: The present invention provides a novel gene editing composition comprising at least one fusion protein, which comprises a retrotransposon-encoded protein portion linked to a CRISPR nuclease portion, and an RNA template molecule comprising an insert template sequence.

Abstract: A bone material removal device, including a tubular element comprising a proximal end and a distal end, a shaft received within the tubular element and comprising a proximal end and a distal end, a cutting tooth movably coupled to the distal end of the shaft and a shaft displacement actuator at the proximal end of the tubular element rotatably coupled to the shaft, wherein at least partial rotation of the actuator in a first direction brings the cutting tooth to travel from a closed retracted position to an open extended position.

Abstract: Provided herein are systems and methods for applying adaptive classes thresholds to enhance object detection Machine Learning (ML) models by receiving a plurality of labeled feature vectors extracted from a plurality of images associated with a plurality of objects, one or more subsets of the plurality of feature vectors are associated with respective object(s) and labeled accordingly, computing an adaptive threshold for each object in a plurality of iterations, each iteration comprising: (1) computing deviation of a respective feature vector of the subset from an aggregated feature vector, (2) computing, in case the deviation is within a predefined value, a threshold enclosing the respective feature vector, and (3) adjusting the adaptive threshold to enclose the threshold of the respective feature vector and outputting the adaptive threshold(s) for classifying unlabeled feature vectors to class(s) of respective object(s) associated with the adaptive threshold(s) in which the unlabeled feature vectors fall.

Abstract: A system, a method, and a computer program product are provided for determining emergency data in a region. The system may include a processor configured to execute computer program code instructions stored in a memory to obtain live video data associated with the vehicle in the region and determine the emergency data of the vehicle from the live video data using a three-dimensional convolution neural network (3D-CNN) model. The live video data may include one or more video clips. The 3D-CNN model may include a plurality of convolution layers, a plurality of pooling layers, and a plurality of fully connected layers. The processor is further configured to generate an emergency notification based on the emergency data and providing the emergency notification to one or more subjects.

Abstract: In one embodiment, an ablation system includes a probe to be inserted into a heart and including an electrode to apply radiofrequency (RF) power so as to ablate a myocardium, an RF signal generator, a tracking module to compute a relative location and orientation of the probe, and a processor to receive a signal from at least one user input device indicating an actuation of a serial ablation procedure including performing ablations at different locations of the myocardium, and control the serial ablation procedure so that for each ablation the processor is configured to check whether the relative location and orientation of the probe are steady, automatically compute an ablation duration, automatically control the RF signal generator to generate the RF power for the computed ablation duration, and render a user interface screen including a time indicator indicating a time remaining until an end of the ablation duration.

Abstract: Methods, apparatus, and systems for medical procedures are disclosed herein. For example, a plurality of analog sensor signals and an analog reference signal are received by an analog-to-digital converter to produce respective digitized versions of the analog sensor signals. The respective digitized versions of the analog sensor signals are digital filtered to produce respective filtered digitized versions of the analog sensor signals. The filtered digitized versions of the analog sensor signals are output to a visualization system to provide real time display thereof. The filtered digitized versions of the analog sensor signals are communicated to a digital-to-analog converter to produce an analog version of the filtered digitized versions of the analog sensor signals. The analog version of the filtered digitized versions of the analog sensor signals along with the analog reference signal are output to a recordation system to provide supplemental processing and storage thereof.

Abstract: A method for use in a communication network is provided.

Abstract: An augmented reality system for viewing a static physical object includes a movable unit receiving signals from, a static tracking base station for obtaining the six-dimensional absolute position of the movable unit. The relative position of the movable unit relatively to the static physical object is calculated from the absolute positions of the movable unit and the static physical object. The relative unit-object position is then used for rendering and displaying an augmented image or projecting a virtual object on the static physical object.

Abstract: A system for early predicting of impending data overflow situations in data networks, comprising one or more sensors being networked computers that do not provide services, for collecting monitored data regarding network traffic volume from content providers to an Internet Service Provider (ISP) entering or exiting the ISP via peering autonomous systems connected to the ISP via physical links; one or more processors executing one or more deep learning models, being adapted to: identify over the data network being handovers alternative peering links, which are not inherent Private Network Interconnects (PNI) between the content providers and the ISP; determine static or dynamic threshold for dataflow anomaly associated with overflow; for each alternative handover, predict impending overflow situation by applying ML algorithms to the collected data that corresponds to the each alternative handover.

Abstract: A system for electrophysiological measurement includes a probe having a distal end configured for insertion into a body cavity of a living subject and including an array of electrodes that are disposed along the distal end and are configured to contact tissue at multiple locations within the body cavity. A processor is configured to acquire signals from the electrodes over a period of time during which the probe moves within the body cavity, to compute, in response the signals, metrics that are indicative of a respective quality of contact between each of the electrodes and the tissue over the period of time, and to output an indication of the metrics to a user of the system.

Abstract: A drill device including a shaft having a proximal end and a distal end, one or more first reaming heads configured to be positioned along the shaft adjacent the distal end and one or more second reaming heads configured to be positioned along the shaft at a location axially proximally spaced from the first reaming head.

Abstract: The present invention provides fire-retarded rigid polyurethane foam comprising the reaction product of polyol and isocyanate foam forming components and a dialkyl phosphorus-containing compound, namely a reactive mono-hydroxyl-functional dialkyl phosphinates, as flame retardant, serving as highly efficient reactive flame retardant in said rigid polyurethane foam.

Abstract: A system for electrophysiological measurement includes a probe having a distal end configured for insertion into a body cavity of a patient and including electrodes that are disposed along the distal end and are configured to contact tissue at multiple locations within the body cavity while an operator manipulates the probe. A processor is configured to acquire electrophysiological (EP) signals from the electrodes within the body cavity, to apply one or more filtering criteria to the EP signals in order to select a first set of the EP signals while rejecting a second set of the EP signals, to render an image to a display based on the EP signals in the first set, and to output to the operator an indication of a reason for the rejection of the EP signals in the second set.