Abstract: Systems, computer-implemented methods, and computer program products that facilitate synthetic system fault generation are provided. According to an embodiment, a system can comprise a processor that executes the following computer-executable components stored in a non-transitory computer readable medium: a generator component that employs a trained artificial intelligence (AI) model to generate a synthetic system fault, represented as a combination of discrete parameters and continuous parameters that define a system state; and a fault assembler component that analyzes the synthetic system fault and generates textual content corresponding to the synthetic system fault.

Abstract: Medical device packages are disclosed. An example package may include an elongate carrier tube capable of having a medical device disposed therein. The carrier tube may include an elastomeric material. The carrier tube may include a tube wall and a slit may be formed in the tube wall.

Abstract: Methods, systems, and computer program products for mining multi-party collaboration platforms to create triaging trees and playbooks are provided herein. A computer-implemented method includes obtaining, from a multi-user platform, conversations related to at least one technical issue; generating a plurality of triaging trees by analyzing the conversations, wherein each of the triaging trees stores information corresponding to temporal sequences of steps related to diagnosing and resolving said at least one technical issue; and deriving a playbook for resolving said at least one technical issue at least in part by combining two or more of the plurality of triaging trees.

Abstract: Methods, systems, and computer program products for fault localization for cloud-native applications are provided herein. A computer-implemented method includes classifying an event-related alert directed to at least one system by processing one or more characteristics of the event-related alert; obtaining and processing multiple application logs based at least in part on the classification of the event-related alert; identifying error logs among the multiple application logs based at least in part on the processing of the multiple application logs; ordering the error logs using one or more prioritization techniques; and performing at least one automated action based at least in part on the ordering of the error logs.

Abstract: Real-time job distribution software architectures for high bandwidth, hybrid processor computation systems for semiconductor inspection and metrology are disclosed. The imaging processing computer architecture can be scalable by changing the number of CPUs and GPUs to meet computing needs. The architecture is defined using a master node and one or more worker nodes to run image processing jobs in parallel for maximum throughput. The master node can receive input image data from a semiconductor wafer or reticle. Jobs based on the input image data are distributed to one of the worker nodes. Each worker node can include at least one CPU and at least one GPU. The image processing job can contain multiple tasks, and each of the tasks can be assigned to one of the CPU or GPU in the worker node using a worker job manager to process the image.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to align network traffic to improve power consumption. Example instructions cause one or more processors to classify a workload based on network packets obtained via a wireless communication; determine heuristics of platform activities corresponding to the workload; and schedule network interrupts based on hardware-based wake interrupts from a sleep mode using the heuristics.

Abstract: Embodiments provide systems, methods, and computer-readable storage media for automated and objective testing of applications or processes. Graphical representations of the application may be analyzed to derive attribute data and identify flows (e.g., possible processing paths that may be accessed during utilization of the application by a user). Test cases may be automatically generated based on the attribute data and the identified flows. Additionally, testing scripts for testing the portions of the application corresponding to each identified flow may be generated using machine learning logic. Once generated, the testing scripts may be executed against the application to test different portions of the application functionality (or processes). Execution of the testing scripts may be monitored to generate feedback used to train the machine learning logic. Reports may be generated based on the monitoring and provided to users to enable the users to resolve any errors encountered during the testing.

Abstract: A drainage catheter may include a polymeric tubular member and a braided reinforcement that is disposed about the polymeric tubular member. The braided reinforcement may include a repeating braid pattern that extends over a first portion of a length of the drainage catheter and a modified braid pattern that extends over a second portion of the length of the drainage catheter, the modified braid pattern providing a region without any braid filaments. The drainage catheter may include a drainage hole that extends through the polymeric tubular member within the region without any braid filaments.

Abstract: Certain aspects of the present disclosure provide techniques for enumerating relationships in an object graph using traversal context objects that are decoupled from the implementation details of an object graph and the objects stored therein. An example method generally includes receiving a request to traverse an object graph, the object graph including a plurality of objects. A root context object is generated, and a traversal context object associated with a root node of the object graph is generated. The traversal context object is linked to the root context object and added to a traversal data structure. The graph is traversed by adding and removing traversal context objects to and from the traversal data structure until a terminating event occurs.

Abstract: A user equipment (UE) may transmit a UE-generated uplink message to a base station to request resources for an uplink transmission. The UE may be configured to send the message (e.g., a scheduling request (SR)) using different transmission modes. For example, the UE may transmit the SR using a scheduled mode where the UE conveys the SR along with another uplink message (e.g., a control message). In some examples, the UE may transmit the SR using an autonomous mode where the UE transmits the SR in resources reserved for SR transmissions. The UE may determine which transmission mode to use based on certain characteristics of the SR or the data associated with the SR.

Abstract: Methods, systems, and devices for wireless communications are described. The described techniques provide for detecting when a control link between a user equipment (UE) and a base station is lost and recovering the control link. In one example, a UE may detect that a control link with a base station is lost based on a timer or counter expiring or based on failing to receive signaling from the base station. In another example, a UE may be configured to transmit uplink transmissions to a base station to maintain a control link with the base station, and the base station may detect that a control link with the UE is lost if the base station fails to receive one or more uplink transmissions from the UE. If the control link is lost, the base station and the UE may communicate to re-establish the control link.

Abstract: Example medical devices are disclosed. An example medical device includes an elongate member having a proximal end region, a distal end region and an outer surface. The medical device also includes a plurality of filaments braided together in a first braided pattern along a first braided region of the elongate member, wherein the plurality of filaments extend continuously to a second braided region along the elongate member, wherein the plurality of filaments along the second braided region form a second braided pattern different from the first braided pattern.

Abstract: One embodiment provides a method, including: obtaining a plurality of previously submitted application documents, wherein each of the previously submitted application documents comprises information provided by a user who initiated a given previously submitted application document; clustering the plurality of previously submitted application documents into clusters of application documents based upon topics of the previously submitted application documents; selecting a representative application document; identifying entities contained within a given representative application document, wherein each of the entities corresponds to information to be entered into a new application document created from the given representative application document; and engaging in a dialogue with a user to create the new application document utilizing a similar representative application document to request information from the user, wherein the similar representative application document comprises a representative application d

Abstract: Certain aspects of the present disclosure provide techniques for an extended feature indication in new radio (NR), such as for slice specific extension (SSE). Aspects provide a method that may be performed by a transmitter device, such as a user equipment (UE) or a network node (e.g., a base station (BS)). The method generally includes determining a network node supports an extended feature, the extended feature being associated with an extended feature identifier. The transmitter device transmits a message, the message including the extended feature identifier and an indication that the apparatus is using the extended feature. A receiver device can receive the message and process the message and/or one or more subsequent messages based on the indication that the transmitter device is using the extended feature and the extended feature identifier.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive, from a base station, an indication of a resource allocation for a data communication having a known payload, the known payload comprising data associated with a machine learning process; and communicate with the base station based at least in part on the resource allocation. Numerous other aspects are provided.

Abstract: A method of wireless communication, executed by a user equipment (UE), receives, from a base station, a broadcast or multicast message including a known payload, as well as a configuration for the known payload. The method also trains an artificial neural network with the known payload. A method of wireless communication, executed by a base station, configures a known payload for multiple UEs and signals, to the UEs, an indication of which physical channel will include the known payload, as well as time/frequency resources of the known payload. The method also broadcasts or multicasts the known payload to facilitate neural network training at the UEs.

Abstract: The present disclosure describes a method, an apparatus, and a computer-readable medium for a random access channel (RACH) procedure at a user equipment. For example, the method may select a two-step RACH procedure or a four-step RACH procedure at the UE based at least on RACH configuration information received from a base station or the RACH configuration information at the UE. The example method may further include transmitting, from the UE, one or more messages associated with the two-step RACH procedure or the four-step RACH procedure based on the selection.

Abstract: Aspects of the disclosure relate to determining channel state information (CSI) on a component carrier. In an example operation, a device determines a mapping between first time-frequency resources corresponding to a first component carrier (CC) and second time-frequency resources corresponding to a second CC using a prediction algorithm. The device receives, from a base station, a channel state information reference signal (CSI-RS) on the first time-frequency resources corresponding to the first CC and measures first CSI on the first time-frequency resources corresponding to the first CC based on the received CSI-RS. The device further predicts second CSI on the second time-frequency resources corresponding to the second CC based on the measured first CSI using the prediction algorithm. The device then generates a CSI report based on the predicted second CSI and sends the CSI report to the base station.

Abstract: Methods, systems, and devices for wireless communications are described. A base station may explicitly or implicitly identify one or more parameters associated with a user equipment (UE), and may classify the UE into a cluster of UEs based on identifying the one or more parameters. The base station may determine a customized function block based on classifying the UE into the cluster of UEs. For example, the base station may determine the customized function block based on determining whether the cluster of UEs is associated with a pre-trained customized function block. The base station may then transmit the customized function block to the UE. The UE may receive the customized function block and may process one or more signals at the UE based on the received customized function block.

Abstract: A method of wireless communication by a user equipment (UE) may include receiving a message requesting estimated channel characteristics of a secondary band based on measuring characteristics of a channel in the primary band. The method also includes measuring characteristics of the channel in the primary band. The method estimates channel characteristics of the secondary band based on the primary band characteristics measurements. The estimating may occur without measuring signals in the secondary band. Further, the method may report the estimated channel characteristics of the secondary band and receive an indication of a secondary cell group, based on the estimated channel characteristics of the secondary band.