Abstract: For each discovered smart socket, the smart socket is automatically added to a supervisor database and a predetermined set of two or more objects for the smart socket are automatically added to the supervisor database. One or more predetermined alarm extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. One or more predetermined history extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. Predetermined ones of the two or more objects and/or extensions of each of the discovered smart sockets are automatically mapped to a predetermined dashboard.

Abstract: Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Abstract: Systems and methods of Exact Data Matching (EDM) include receiving customer specific sensitive data for a customer, wherein the customer specific sensitive data are converted into a plurality of tokens; receiving a configuration for exact data matching of the plurality of tokens; performing inline monitoring of a user associated with the customer; detecting a presence of one or more tokens of the plurality of tokens based on the inline monitoring; and, responsive to the detecting, performing an action based on the configuration.

Abstract: A device may receive an image and may process the image, with a first model or a second model, to convert the image into a binary image. The device may generate an identifier that identifies the first model, or identifies the second model and a color removed from the image, and may utilize clustering to cluster pixels of the binary image and to generate a segmented image with a quantity of segments. The device may generate a particular number of segments to select, and may select the particular number of segments, as selected segments, from the quantity of segments. The device may mask the selected segments to generate a protected image with masked segments, and may associate the protected image with the identifier and with original pixel data of the masked segments. The device may store the protected image, the identifier, and the original pixel data in a data structure.

Abstract: Compounds as inhibitors of Activating Transcription Factor 6 (ATF6) are provided. The compounds may find use as therapeutic agents for the treatment of diseases or disorders mediated by ATF6 and may find particular use in the treatment of viral infections, neurodegenerative diseases, vascular diseases, or cancer.

Abstract: The present application relates to an RNA interference (RNAi) agent for inhibiting the expression of hepatitis B virus and uses thereof, and to an RNAi agent that inhibits the expression of hepatitis B virus and a pharmaceutical composition including the RNAi agent for amelioration or treatment of diseases caused by hepatitis B virus infection.

Abstract: An embodiment includes detecting a set of anomalies recorded during a first predefined window of time in log entries for a computer environment. The embodiment also includes generating cluster data representative of a cluster of anomalies from among the set of anomalies, where the cluster is formed using a lattice clustering algorithm that spatially distinguishes the cluster of anomalies from other anomalies in the set of anomalies. The embodiment also includes composing an explanation using log templates generated from log entries associated with the cluster of anomalies.

Abstract: Provided herein are recombinant nucleic acids encoding a T cell receptor (TCR) fusion protein (TFP) and an interleukin-15 (IL-15) polypeptide and/or an interleukin-15 receptor alpha (IL-15R?) polypeptide, modified T cells expressing the encoded molecules, and methods of use thereof for the treatment of diseases, including cancer.

Abstract: The present invention discloses a system and method for non-intrusive monitoring and prediction of cardiac function of a user. The system (100) comprises a sensor device (102), a data capturing device (104), a data receiver module (106), an acoustic engine (108) and user devices (110), which communicate by using communication network (112). The sensor device (102) comprises a sensor array to capture micro-vibrations of physiological parameters of a user through a surface/mattress under which the sensor device (102) is positioned. The acoustic engine (108) converts the digital time-based vibration signals into frequency-based acoustic outputs such as physiological condition acoustic signals. Further, the acoustic engine (108) is configured to determine the user's current and future health issues based on the physiological condition acoustic signals. does not require trained medical practitioners to analyze the vibration signal of the user to determine the physiological conditions of the user.

Abstract: Systems and methods described herein provide an online constraint optimizing service that evaluates user requests and inquiries for telecommunications services in the context of a real-time constraint-based analysis. According to an implementation, a network device receives a function for an analytic event and a constraint. The function applies different user attributes for a telecommunications network. The network device generates a training data set using offline constrained optimization of the function. The network device develops a predictive model for utilization of network resources in the telecommunications network using the training data set. The network device receives a user request that corresponds to the analytic event addressed by the predictive model and conducts an online prescriptive analysis using the predictive model. The network device optimizes allocation of the network resources to the user based on the prescriptive analysis.

Abstract: The present invention provides for building a knowledgebase of dependencies between Configuration Items(CIs) associated with IT computing environment. In operation, the present invention provides for mapping a plurality of Configuration Items(CI) with respective one or more actions. The present invention further provides for tracking and capturing of one or more actions performed on one or more CIs in relation to resolving an activity related to a reported CI. Further, the present invention provides for identifying dependencies between one or more CIs and the reported CI based on the captured one or more actions. Furthermore, the present invention provides for building a knowledgebase of dependencies between CIs of the computing environment based on the identified dependencies between one or more CIs and the reported CI. Yet further, the present invention provides for generating visual representations of dependencies between CIs.

Abstract: Systems and methods for rendering spatial audio in accordance with embodiments of the invention are illustrated. One embodiment includes a spatial audio system, including a primary network connected speaker, including a plurality of sets of drivers, where each set of drivers is oriented in a different direction, a processor system, memory containing an audio player application, wherein the audio player application configures the processor system to obtain an audio source stream from an audio source via the network interface, spatially encode the audio source, decode the spatially encoded audio source to obtain driver inputs for the individual drivers in the plurality of sets of drivers, where the driver inputs cause the drivers to generate directional audio.

Abstract: Method of generating a funnel interface starts with a processor receiving, from client devices, user activity data associated with interactions by users with a website displayed on the client devices. The website comprises webpages displayed during sessions. The processor receives from a user associated with a display device a plurality of steps of a funnel. Each of the steps comprising one or more of the plurality of webpages. The processor causes a funnel interface to be displayed on the display device. The funnel interface includes a visualization of at least one of a plurality of metrics associated each of the plurality of steps based on the user activity data. The metrics include a completion rate, a conversion rate, a drop off rate, or any combination thereof. Other embodiments described herein.

Abstract: This disclosure provides systems, methods, and devices for image signal processing that support compression of image data from image sensors with different color filter array (CFA) configurations. In a first aspect, a method of image processing includes receiving, by a processor, first image data from a first image sensor having a first color filter configuration, the first image data comprising a plurality of values organized according to the first color filter; determining, by the processor, second image data by re-arranging the plurality of values of the first image data; determining, by the processor, third image data by compressing the second image data; and storing, by the processor, the third image data into memory. Other aspects and features are also claimed and described.

Abstract: Virtual Machine (VM) creation based on a dynamically-calculated feature set. A plurality of feature sets are identified. Each feature set in the plurality of feature sets corresponds to a different VM host node of a plurality of VM host nodes that are part of a common VM migration group, and indicates a set of features available at a corresponding VM host node. From the plurality of feature sets, a group feature set is calculated. The group feature set includes a subset of features that are common among the plurality of feature sets. A VM created within the plurality of VM host nodes is configured to use the group feature set.

Abstract: Embodiments described herein may include apparatus, systems, techniques, or processes that are directed to semiconductor interconnects, such as on-package die-to-die (D2D) interconnects, for example. Specifically, embodiments herein may relate to on-package D2D interconnects for memory that use or relate to the Universal Chiplet Interconnect Express (UCIe) adapter or physical layer (PHY). Other embodiments are described and claimed.

Abstract: Aspects of data management are described. During an update procedure for serially updating a cluster of storage nodes, a storage node of the cluster of storage nodes may enter a quiescent state. While in the quiescent state, the storage node may refrain from obtaining new jobs and may continue to execute jobs that were initiated at the storage node prior to entering the quiescent state. The storage node may enter the quiescent state while another storage node enters an update state for installing the update version. The storage node may also post, to a job queue, jobs running at the storage node that are terminated at an end of the quiescent state.

Abstract: The disclosed wearable device systems include several features for alerting and guiding persons who are approaching or near to potentially hazardous or high-risk conditions in their nearby environment. Sensor data from wearable devices (also referred to herein as “wearables”) are used to determine the presence of various unsafe environmental conditions and phenomenon, including dangerous terrain or other unusual conditions. The wearable would be used to warn a person, for example via auditory or haptic-based feedback, if the person is about to encounter an unsafe condition. In particular, the proposed systems can be of great benefit to the visually impaired, those persons with physical disabilities, or persons otherwise vulnerable to particular environmental conditions.