Abstract: A medical device includes an electrode shaft and an insulation tip. The electrode shaft is configured to deliver energy to a target site and includes an electrode shaft lumen configured to deliver fluid to the target site. The insulation tip is coupled to a distal tip of the electrode shaft. The insulation tip includes an insulation tip lumen fluidly connected to the electrode shaft lumen and configured to deliver fluid to the target site. The insulation tip covers an entirety of the distal tip of the electrode shaft.

Abstract: Systems and methods enable machine learning (ML) feature prioritization to reduce image noise in a virtual environment. In embodiments, a method includes providing a device access to a virtual environment via a graphical user interface (GUI), the environment including images of objects and a navigation tool enabling a user to navigate the environment and interact with the images; monitoring interaction data of the user; calculating priority values for predefined areas of a first object in the environment, using an ML model trained with historic user interaction data and object data; processing image data of one or more of the predefined areas of the first object using image processing to generate new data based on display specifications of the client device and the priority values; and pre-loading the new data in a buffer, such that the new data is available prior to display of the new data to the user.

Abstract: A medical device includes an electrode shaft and an insulation tip. The electrode shaft is configured to deliver energy to a target site and includes an electrode shaft lumen configured to deliver fluid to the target site. The insulation tip is coupled to a distal tip of the electrode shaft. The insulation tip includes an insulation tip lumen fluidly connected to the electrode shaft lumen and configured to deliver fluid to the target site. The insulation tip covers an entirety of the distal tip of the electrode shaft.

Abstract: A medical device includes a shaft, an end cap, and an electrode. The shaft includes a conductive element. The end cap is coupled to a distal end of the shaft. The electrode is coupled to the distal end of the shaft and passes through the end cap. The electrode includes an electrode shaft and a distal tip, and the electrode is electrically connected to the conductive element. The end cap includes a visualization feature.

Abstract: First event data is obtained from a first computer system and second event data is obtained from a second computer system. A first shape of the first event data is identified, and a second shape of the second event data is identified. A shape similarity between the first shape and the second shape is calculated. The shape similarity is determined to be above a similarity threshold. Training features are generated from the first event data and the second event data based on the determining. The training features are input into an anomaly-detection model.

Abstract: Techniques are described with regard to managing transaction size during a database replication process. An associated computer-implemented method includes identifying each of at least one transaction associated with at least one source database stored in a replication capture memory, identifying at least one potential excessive memory transaction by applying, via at least one machine learning pattern detection model, pattern detection to each of the at least one transaction stored in the replication capture memory, and constructing at least one compact data unit associated with each of the at least one potential excessive memory transaction. The computer-implemented method further includes facilitating compact data unit transmission to a replication apply server system in order to replicate the at least one compact data unit associated with each of the at least one potential excessive memory transaction to at least one target database via a replication apply server application.

Abstract: Methods, computer program products, systems are provided for securely performing electronic transactions over a network. An acoustic wave signal is received. The acoustic wave signal is encoded with at least an identifier of a payer of a transaction and transaction information of the transaction. The identifier of the payer and the transaction information is then obtained from the acoustic wave signal. A bone conduction characteristic of the payer is retrieved based on the identifier of the payer and based on the received bone conduction characteristic of the payer, the payer is verified. Completion of the transaction is allowed based on the transaction information in response to the payer being verified.

Abstract: A system and method for autonomous navigation. The system includes a computing device having a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: provide a three dimensional (3D) point cloud; generate a two dimensional (2D) height map of the 3D point cloud in a region of interest; generate normalized ray length histogram from the height map for each ground pixel; determine an intersection based on the normalized ray length histogram; and determine an intersection of the region of interest based on the number of ground pixels having a type of intersection.

Abstract: In an approach for road section recognition using multi-modal cognitive mechanism, a processor receives an audio signal from a road test. A processor processes the audio signal to generate an acoustic spectrum density distribution map to identify a respective at least one road section switching point in a first mode. A processor processes a spectrogram of the audio signal to identify the respective at least one road section switching point in a second mode. A processor uses a machine learning model to predict an expected sound at each frame of the audio signal, to calculate a similarity between the expected sound and an actual sound, and to identify the respective at least one road switching point when the similarity is lower than a pre-set similarity threshold in a third mode. A processor combines results of the three modes to obtain a final set of road section switching points.

Abstract: Techniques are described with regard to managing transaction size during a database replication process. An associated computer-implemented method includes identifying each of at least one transaction associated with at least one source database stored in a replication capture memory, identifying at least one potential excessive memory transaction by applying, via at least one machine learning pattern detection model, pattern detection to each of the at least one transaction stored in the replication capture memory, and constructing at least one compact data unit associated with each of the at least one potential excessive memory transaction. The computer-implemented method further includes facilitating compact data unit transmission to a replication apply server system in order to replicate the at least one compact data unit associated with each of the at least one potential excessive memory transaction to at least one target database via a replication apply server application.

Abstract: By analyzing a content of a first message, a confidentiality level of the first message is determined. An encryption rule for a first computational complexity level corresponding to the confidentiality level of the first message is selected. The first message is encoded according to the encryption rule. The encoded first message and the confidentiality level of the first message are caused to be sent to a recipient.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification. One example method of operation may comprise one or more of identifying shipment locations for a product shipment, storing the shipment locations in a local blockchain, transmitting the shipment locations to a remote blockchain, comparing the shipment locations of the remote blockchain with the shipment locations stored in the local blockchain, and verifying the shipment locations of the remote blockchain are consistent with the shipment locations stored in the local blockchain.

Abstract: Embodiments of the disclosure provide methods, systems, computer program products for accessing web pages interactively are disclosed. According to the method, a web page comprising a plurality of user interface elements is accessed. Then information comprising identifications of the plurality of user interface elements and hot keys corresponding to the plurality of user interface elements is obtained. And then the information is sent to an assistive tool for being read out. In response to a hot key corresponding to a user interface element being input, an action corresponding to the user interface element is executed.

Abstract: Embodiments of the disclosure provide methods, systems, computer program products for accessing web pages interactively are disclosed. According to the method, a web page comprising a plurality of user interface elements is accessed. Then information comprising identifications of the plurality of user interface elements and hot keys corresponding to the plurality of user interface elements is obtained. And then the information is sent to an assistive tool for being read out. In response to a hot key corresponding to a user interface element being input, an action corresponding to the user interface element is executed.

Abstract: By analyzing a content of a first message, a confidentiality level of the first message is determined. An encryption rule for a first computational complexity level corresponding to the confidentiality level of the first message is selected. The first message is encoded according to the encryption rule. The encoded first message and the confidentiality level of the first message are caused to be sent to a recipient.

Abstract: An anti-peep screen is provided. The anti-peep screen includes a casing, a plurality of microspheres within the casing, wherein each of the microspheres includes a colorless transparent fluid fill and a plurality of charged particles, and a base electrode within the casing adjacent to the plurality of microspheres.

Abstract: Ranking system metrics for monitoring by sorting members of a set of system metrics into correlation groups according to correlations among historic time series data, determining a sensitivity of the members of the set of system metrics, determining an importance of the members of the set of system metrics according to the correlation groups and sensitivity, and ranking the members of the set of system metrics according to the importance.

Abstract: Ranking system metrics for monitoring by sorting members of a set of system metrics into correlation groups according to correlations among historic time series data, determining a sensitivity of the members of the set of system metrics, determining an importance of the members of the set of system metrics according to the correlation groups and sensitivity, and ranking the members of the set of system metrics according to the importance.

Abstract: In an approach, a processor determines respective resolution levels for a plurality of objects, presented in a video segment to be rendered, based on a relationship between a primary object and at least one remaining object of the plurality of objects. A processors, determines, from the video segment, a plurality of object-based video elements at the determined respective resolution levels, each of the plurality of object-based video elements corresponding to one of the plurality of objects. A processor causes the plurality of object-based video elements to be delivered for rendering the video segment.

Abstract: Methods, apparatus, computer program products for pausing playback of a video based on competency assessment of a user are provided. In response to receiving a request to play a video from a user, a processor obtains corresponding competency values for the user, wherein each competency values indicate a competency assessment of the user imitating a content of the video. A processor determines one or more nodes from respective split nodes of adjacent segments in the video as pausing nodes based on the competency values and correlation of the adjacent segments, wherein the split nodes and the correlation of the adjacent segments are determined based on the content of the video. A processor pauses a playback of the video based on the pausing nodes during the playback of the video for the user.