Abstract: Techniques for creating a user network based on user interest in a product are described. For example, a first search query is received from a first client device. The first client device is associated with a first user. A second search query is received from a second client device. The second client device is associated with a second user. The first search query is matched to a product. The second search query is matched to the product. A user network corresponding to the product is created. The first user is added to the user network based on the matching of the first search query to the product. The second user is added to the user network based on the matching of the second search query to the product.

Abstract: An assembly of a medical delivery device includes an inner sleeve including a flange at a proximal end. The flange includes one or more through holes. The assembly also includes an outer sleeve movably coupled to the inner sleeve. A distal tip of the outer sleeve includes a plurality of openings for delivering an adhesive to a treatment site. The assembly further includes a cavity formed between the inner sleeve and the outer sleeve and configured to hold the adhesive prior to the delivering. The assembly yet further includes one or more actuators connected to a proximal end of the outer sleeve and extended via the one or more through holes to a handle of the medical delivery device. Actuation of the one or more actuators moves one of the inner sleeve or the outer sleeve relative to the other to cause the delivering of the adhesive.

Abstract: Techniques described herein may be used to identify anomalies in a joined region of two datasets. For example, a computer system may determine an elevation anomaly data point in based on an elevation criterion. The computer system may determine a set of buffer points surrounding the elevation anomaly data points. The computer system may user the set of buffer points to reduce the number of data points for adjusting. The computer system may determine a reduction factor based on the buffer points. The computer system may then apply the reduction factor to points in the buffer points and other points.

Abstract: Various embodiments are directed to processing conversions of digital assets to other digital assets. An example method includes determining a source exchange rate for a source digital asset and a fiat currency, determining a target exchange rate for a target digital asset and a fiat currency, and generating an aggregated conversion rate for the source digital asset and the target digital asset using the source exchange rate and the target exchange rate. The method further includes executing a digital asset conversion, which includes causing source digital asset units to be debited from a source digital asset user account and causing target digital asset units to be credited to a target digital asset user account, and subsequently executing fiat currency transactions (e.g., settlements) with a first digital asset exchange system associated with the source digital asset and a second digital asset exchange system associated with the target digital asset.

Abstract: The present disclosure relates to methods and apparatus for graphics processing. Aspects of the disclosure are directed to a method for accessing secure memory ranges. In some examples, the method includes reserving a first memory address range within a 32-bit address range for non-secure memory. In some examples, the method includes reserving a second memory address range within a 64-bit address range and outside the 32-bit address range for secure memory. In some examples, the method includes receiving, by a 64-bit kernel, a first command from a 32-bit application for accessing the secure memory. In some examples, the method includes preparing, by the 64-bit kernel, a 64-bit memory access command based on the first command. In some examples, the method includes transmitting, by the 64-bit kernel, the 64-bit memory access command to a graphics processing unit (GPU).

Abstract: A medical device may comprise a handle, wherein the handle includes a movable body and a main body; a cap configured to be coupled to a distal end of a scope; a patch, wherein the patch is moveable relative to the cap; and a petal body. The patch may be removably coupled to the petal body. The medical device may further comprise an actuator body coupling the patch to the moveable body such that movement of the moveable body extends the patch from the cap. The petal body may be configured to transition between a closed configuration in which the patch is retracted, and an open configuration in which the patch is extended radially-outward from a central longitudinal axis of the scope.

Abstract: A biopsy forceps device includes a control member; a yoke coupled to the member; jaws coupled to the yoke; and a capsule. In an open configuration, the jaws are separated to receive target tissue. In a closed configuration, cutting edges of the jaws are moved toward one another to cut tissue. The capsule slidably receives the yoke and a portion of the jaws. The jaws are constrained to the closed configuration when withdrawn proximally to a first position within the capsule. When the jaws are moved to a second position, portions of the jaws are freed from the constraint capsule and spread apart. When the yoke and the jaws are moved distally and the jaws move to the open configuration, a tissue contacting structure of the yoke extends distally to engage tissue between the jaws to anchor the engaged tissue again lateral movement as the jaws contact the tissue.

Abstract: In described examples, a digital-to-analog converter includes an output, multiple most significant bit (MSB) connector resistors each having a resistance R??R, multiple least significant bit (LSB) connector resistors each having a resistance R, and multiple binary arm resistors each having a resistance 2R. The MSB connector resistors are coupled in a series beginning with the output and ending with a first one of the LSB connector resistors, and the LSB connector resistors are coupled in a series beginning with the first LSB connector resistor. A terminal of one of the binary arm resistors is coupled to an ending of the LSB connector resistor series, and a terminal of each of different remaining ones of the binary arm resistors is coupled between a different pair of the MSB and/or LSB connector resistors.

Abstract: An apparatus for audio communication includes a memory configured to receive audio data from a user of a voice communication, and one or more processors in communication with the memory. The one or more processors are configured to receive the audio data for the voice communication, which includes voice data of the user and background audio data. The processors are further configured to classify the background audio data into a plurality of types of background audio data, determine to not suppress a subset of the plurality of types of background audio data, process the audio data to not suppress the subset of the plurality of types of background audio data to generate output audio data, and transmit the output audio data.

Abstract: A medical device may include a handle including a fixed body and a movable body. The movable body may be movable relative to the fixed body. The medical device may include a shaft extending from the fixed body and an end effector at a distal end of the shaft. Rotation of the movable body relative to the fixed body may permit rotation of the end effector relative to the shaft, and rotation of the movable body with rotation of the fixed body may permit rotation of the end effector with the shaft. Deflection of the movable body relative to the fixed body may permit deflection of the end effector relative to the fixed body.

Abstract: The present disclosure provides a novel peptide as potent inhibitor of protein aggregation. A peptide for an inhibition of protein aggregation having the general Formula 1, [XiSACX1]mHHHH[X2X3CGG]m (SEQ ID NO. 9) is provided. The m is 0 or 1; Xi is an acetyl group; X1 is a hydrophilic polar uncharged amide group containing amino acid; X2 is His or Leu; and X3 is His or Ser. The present disclosure specifically relates to peptide-based inhibitors useful in treatment of amyloid related disorders.

Abstract: A medical device comprises a handle, wherein the handle includes a primary actuator and a secondary actuator, an end cap configured to be coupled to a distal end of another medical device, wherein the end cap includes a stationary portion and a movable portion, a patch, wherein the patch is coupled to the movable portion of the end cap, one or more control elements coupling the primary actuator to the movable portion of the end cap, and an actuation element, wherein the actuation element extends distally from the secondary actuator and the actuation element is configured to be coupled to the patch, wherein movement of the primary actuator moves the movable portion of the end cap relative to the stationary portion of the end cap, and wherein movement of the secondary actuator at least partially deploys the patch from the movable portion of the end cap.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: A medical device includes opposing first and second end effectors coupled together to move from an open configuration to a closed configuration, a first link with a distal end pivotally connected to a proximal end of the first end effector, the first link including a first slot at a proximal end of the first link, a second link with a distal end pivotally connected to a proximal end of the second end effector, and a first actuator pin slidable within the first slot.

Abstract: A system for template invariant information extraction. The system comprises of processor, a first neural network model and a second neural network model. The processor is configured to recognize and extract entities and location of the entities in the input document using the first neural network model. The processor is further configured to classify whether the input document belongs to at least a template of the documents of the first training dataset using the second neural network model. The second neural network model comprises a linear classifier configured to generate a plurality of confidence scores for the input document corresponding to a unique template of the documents of the first training dataset. A threshold value to classify the input document belonging to template of the documents of the first training dataset is determined, Classification is done by comparing the confidence score with the threshold value.

Abstract: A blood flow meter includes a rotor configured to be placed within a flow of blood and to be driven to rotate by the flow of blood; a magnetic encoder configured to sense the rotation of the rotor and to generate a rotation signal based on the sensed rotation of the rotor; a first pressure sensor configured to measure an upstream pressure; a second pressure sensor configured to measure a downstream pressure; and a control unit. The control unit is configured to determine a differential pressure, the differential pressure including a difference between the downstream pressure and the upstream pressure; and cause an alteration to the rotation of the rotor based on the differential pressure.

Abstract: A system to calculate a reconfigured confidence score is configured to receive a text, a plurality of labels, and a plurality of confidence scores from a plurality of models and assign a weightage to the inputs received from the plurality of models. The system is configured to select a first text with a first label and retrieve a second text, a third text, and a second label. The system is further configured to generate a first, second and third output confidence score for the first text, second text and third text, and corresponding labels. The system compares the plurality of output confidence scores and generates an output which comprises of the first text, the first label, and a final confidence score, wherein the final confidence score is one among the first, second and third output confidence scores.

Abstract: An example system for performing root cause analysis for a plurality of network devices includes one or more processors implemented in circuitry and configured to: receive telemetry data from the plurality of network devices; apply an artificial intelligence (AI) anomaly detection model, trained on historical telemetry data to detect anomalies in the historical telemetry data, to the received telemetry data to detect one or more anomalies in the received telemetry data; and apply an AI root cause analysis mode, trained on historical data, to the anomalies to determine a root cause of an issue causing the one or more anomalies.

Abstract: Disclosed are various embodiments facilitating a holistic engagement with a user across multiple communication channels of an organization or an enterprise based at least in part on a determined user intent. As users interact with various services associated with the organization through one or more communication channels, interaction data can be captured and stored. In various examples, the interaction data that is stored by the various services can be obtained and organized according to a predefined schema. The organized interaction data can be applied to a trained intent model that outputs a user intent based at least in part on observations of other users with similar histories. The predicted intent can be provided to the different services such that subsequent interactions between the user and the organization can be based at least in part on the intent in a consistent manner, regardless of the communication channel associated with the interaction.

Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.