Abstract: The present disclosure relates to semiconductor structures and, more particularly, to series inductors and methods of manufacture. A structure includes a plurality of wiring levels each of which include a wiring structure connected in series to one another. A second wiring level being located above a first wiring level of the plurality of wiring levels. A wiring structure on the second wiring level being at least partially outside boundaries of the wiring structure of the first wiring level.

Abstract: A system includes a memory, and at least one processing device, operatively coupled to the memory, to facilitate an etch recipe development process by performing operations including obtaining, from an optical detector, first material thickness data for a first material and second material thickness data for a second material resulting from an iteration of an etch process using an etch recipe. The first material is located at a first reflectometry measurement point and the second material is located at a second reflectometry measurement point different from the first reflectometry measurement point. The operations further include determining one or more etch parameters based on at least the first material thickness data and the second material thickness data.

Abstract: A device is configured to detect a communication error between a first network device and a second network device. The device is further configured to identify a first node in a computer network map corresponding with the first network device and to identify node properties for the first node. Error correction instructions in the node properties for the first node include an address for rerouting data traffic to a third network device. The device is further configured to apply the error correction instructions where applying the error correction instructions suspends data traffic to the second network device and reroutes data traffic to the third network device.

Abstract: Described is a method for preparing a NOx storage-reduction catalyst article that includes a ruthenium composite as an active ingredient, and an exhaust treatment system including same. Proposed is a stable preparation method or an on-site simultaneous preparation method which is simplified as well as capable of preparing an NSR article exhibiting an equal level of activity, the method in which the NSR article is prepared by preliminarily preparing a heat-resistant ruthenium composition, mixing the same with de-NOxing components and applying same on a carrier.

Abstract: Systems and methods for providing user-induced variable identification of end-to-end computing system security impact information via a user interface are disclosed. The system receives at a graphical user interface (GUI), a user calibration of a graphical security vulnerability element. The system then determines a set of computing system components that interact with data associated with the network operation based on a transmission of the network operation associated with a computing system. The system then determines a set of security vulnerabilities associated with each computing system component of the set of computing system components using a third-party resource. The system then applies a decision engine on the set of security vulnerabilities to determine a set of impacted computing-aspects associated with the set of computing system components.

Abstract: Systems and methods for determining and displaying platform-specific end-to-end security vulnerabilities via a graphical user interface (GUI) are disclosed. To provide users with visual indications of vulnerable computing aspects associated with a computing platform, the system identifies computing aspects associated with a platform. The system then obtains from a security entity, security-vulnerability descriptions that are associated with the platform. Using the security-vulnerability descriptions, the system then determines threat levels for each security-vulnerability description and then, using the determined threat levels, determines a computing aspect impact level for each computing aspect associated with the platform. The system then generates for display on a GUI, a graphical layout comprising each computing aspect impact level for each computing aspect associated with the platform.

Abstract: A device is configured to detect a triggering event within a network that is associated with a communication error between a first network device and a second network device. The device is further configured to identify a first node in a computer network map corresponding with the first network device and to identify node properties for the first node. The device is further configured to identify the error correction instructions in the node properties for the first node that include an address for rerouting data traffic to a third network device. The device is further configured to apply the error correction instructions where applying the error correction instructions suspends data traffic to the second network device and reroutes data traffic to the third network device.

Abstract: An automated process for multi-feed video systems comprises receiving a plurality of video feeds from a plurality of video-capture devices. The video feeds each have a quality parameter set to an initial value. A priority feed is selected from the video feeds. A quality parameter of the priority feed is set to a priority value in response to selecting the priority feed. The video-capture devices are instructed to format the video feeds based on the quality parameter of each video feed. The quality parameter for each video feed comprises a bitrate or a resolution for the video feed. The priority feed is streamed as a video output. The video feeds are displayed for selection in an interface, and the interface comprises a map including a location of the video-capture devices.

Abstract: A device is configured to obtain network traffic information that is associated with a first network device and to identify a second network device that communicates data with the first network device. The device is further configured to identify device settings for sending data traffic to the second network device and to identify error correction instructions for rerouting data traffic to another network device. The device is further configured to generate node properties for the first network device that include a first network device identifier, a second network device identifier, the device settings for the second network device, and the error correction instructions. The device is further configured to add a first node to a computer network map for the first network device and to associate the node properties with the first node and output the computer network map.

Abstract: A device is configured to obtain network traffic information that is associated with a first network device and to identify a second network device that communicates data with the first network device. The device is further configured to identify device settings for sending data traffic to the second network device and to identify error correction instructions for rerouting data traffic to another network device. The device is further configured to generate node properties for the first network device that include a first network device identifier, a second network device identifier, the device settings for the second network device, and the error correction instructions. The device is further configured to add a first node to a computer network map for the first network device and to associate the node properties with the first node and output the computer network map.

Abstract: A device is configured to detect a triggering event within a network that is associated with a communication error between a first network device and a second network device. The device is further configured to identify a first node in a computer network map corresponding with the first network device and to identify node properties for the first node. The device is further configured to identify the error correction instructions in the node properties for the first node that include an address for rerouting data traffic to a third network device. The device is further configured to apply the error correction instructions where applying the error correction instructions suspends data traffic to the second network device and reroutes data traffic to the third network device.

Abstract: Systems and methods for determining and displaying comparative platform-specific security vulnerabilities with respect to cloud-based computing platforms are disclosed. To compare platform-specific security vulnerabilities of cloud-based computing platforms, the system detects a user interaction at a webpage for a network operation. The system then determines a first set of computing aspects associated with a set of cloud-based computing platforms using response data received from a processing of the network operation. The system then identifies a second set of computing aspects associated with a comparative cloud-based computing system platform and determines an overall-computing aspect impact level for associated computing aspects of the second set of computing aspects.

Abstract: A method including: receiving a chargeback message from a processor (or offering the service to tenants who can submit chargeback details over AP's), selecting from a database data configuration parameters corresponding to the processor; receiving a first data file via a graphical user interface, wherein the first data file includes evidence responsive to the chargeback message; converting the first data file from a first format to a second format according to the data configuration parameters; after converting the first data file, generating a representment data structure that includes the first data file in the second format; and transmitting the representment data structure to the processor.

Abstract: Systems and methods for determining and displaying platform-specific end-to-end security vulnerabilities via a graphical user interface (GUI) are disclosed. To provide users with visual indications of vulnerable computing aspects associated with a computing platform, the system identifies computing aspects associated with a platform. The system then obtains from a security entity, security-vulnerability descriptions that are associated with the platform. Using the security-vulnerability descriptions, the system then determines threat levels for each security-vulnerability description and then, using the determined threat levels, determines a computing aspect impact level for each computing aspect associated with the platform. The system then generates for display on a GUI, a graphical layout comprising each computing aspect impact level for each computing aspect associated with the platform.

Abstract: A machine learning computing system identifies a vulnerability associated with a server. Based on information associated with the server and a knowledge base, the computing system schedules an interval for patching the server in a centralized tracking module. Based on the knowledge base and the vulnerability, the computing system creates, validates, and deploys the patch job. During patch job execution, the computing system monitors the status of the patch job at the server and transmits status updates to a user interface module. After expiration of the interval, the computing system generates an assessment report for the executed patch job. The computing system updates the knowledge base based on the assessment report to improve future decisioning processes. Based on the success or failure of the patch job, the computing system, upon a failure indication, automatically reschedules an interval for patching the server.

Abstract: An method of operating a video production device receives a plurality of video input streams from a plurality of different video capture devices, and selects one of the video input streams as a current video output stream. In response to the selection, the method determines a prioritization scheme for the plurality of video input streams, generates video format instructions for each of the plurality of different video capture devices, in accordance with the determined prioritization scheme; and sends the video format instructions from the video production device to the plurality of different video capture devices. The video format instructions are configurable to be executed by the video capture devices to confirm or adjust at least one video quality setting of the video input streams, such that the current video output stream is of higher quality relative to unselected video input streams of the plurality of video input streams.

Abstract: Systems, methods, and computer program products are provided for monitoring network processing using node analysis. The method includes receiving node operation information relating to a node command from one or more nodes. The one or more nodes are grouped into a cluster. The method also includes determining one or more node characteristics based on the node operation information. The method further includes comparing the node characteristic(s) of the node command to expected node characteristic(s). The method still further includes determining a node outage likelihood. The node outage likelihood indicates the likelihood the given node will experience a node outage. The method also includes determining a cluster node operation plan. The cluster node operation plan is configured to determine the nodes of the cluster that must be in operation in an event of the node outage of the given node.

Abstract: Disclosed are compounds of Formula (I): or a salt thereof, wherein: R1, R2, R3, R4, R5, and m are defined herein. Also disclosed are methods of using such compounds to inhibit the activity of one or both of diacylglycerol kinase alpha (DGK?) and diacylglycerol kinase zeta (DGK?), and pharmaceutical compositions comprising such compounds. These compounds are useful in the treatment of viral infections and proliferative disorders, such as cancer.

Abstract: A structure includes a first layer having inductor windings. An inner area of the first layer is at least partially enclosed by the inductor windings and an outer area of the first layer is separated from the inner area by the inductor windings. This structure further includes a second layer having structural fill elements. The first layer and the second layer are parallel, and the second layer is relatively below the first layer in a direction perpendicular to the first layer. The density of the structural fill elements aligned below the inner area is less than the density of the structural fill elements aligned below the outer area.

Abstract: A machine learning computing system identifies a vulnerability associated with a server. Based on information associated with the server and a knowledge base, the computing system schedules an interval for patching the server in a centralized tracking module. Based on the knowledge base and the vulnerability, the computing system creates, validates, and deploys the patch job. During patch job execution, the computing system monitors the status of the patch job at the server and transmits status updates to a user interface module. After expiration of the interval, the computing system generates an assessment report for the executed patch job. The computing system updates the knowledge base based on the assessment report to improve future decisioning processes. Based on the success or failure of the patch job, the computing system, upon a failure indication, automatically reschedules an interval for patching the server.