Abstract: An autonomous vehicle includes vehicle sensors that detect driving conditions and a communication interface communicatively coupled with a driving condition database via a communication network. The driving condition database stores vehicle sensor information indicative of first driving conditions and mobile device sensor information indicative of second driving conditions. Additionally, in response to a connection rating determination logic determining that a connection rating between the communication interface and the communication network below a threshold, a controller of the autonomous vehicle gathers, processes, and stores the vehicle sensor information and the mobile device sensor information for subsequent communication to the driving condition database and operates the autonomous vehicle based on the vehicle sensor information and the mobile device sensor information.

Abstract: In an embodiment, a semiconductor device is disclosed that includes at least one processing device and firmware including a dynamic demodulation engine. The dynamic demodulation engine, when executed by the at least one processing device, is configured to obtain a digital signal waveform, dynamically select a bit detection method based at least in part on a characteristic of the digital signal waveform, perform demodulation of the digital signal waveform using the selected bit detection method and generate decoded packets based at least in part on the demodulation.

Abstract: Systems and methods are provided for customizing a profile page. A first user profile and a second user profile are accessed by a computing device. First and second pluralities of content items associated with the first and second user are identified. Based on the first and second user profiles, first and second subsets of content items of the first and second plurality of content items are selected. For each content item of the first subset of content items, an image associated with the content item is identified. For each content item of the second subset of content items, an image associated with the content item is identified. Based on the identified images, first and second image collages are generated for the first and second user profiles. The first and second image collages and first and second indicators corresponding to the first and second user profiles are generated for display.

Abstract: Systems and methods are provided for generating for display, with a media asset, one or more preview images. If a preview image corresponding to an advanced play position, relative to a current play position, provides a spoiler, an alternative preview image is generated for display. The alternative image may be a modified version of the original image in which at least a portion is removed or masked, or a replacement image, e.g., an image from another play position, a promotional image, or an indication that the preview image is not displayed. A different alternative image or modification may be used when a subsequent play position has been reached if the unmodified preview image contains a different spoiler, and/or a previous modification is no longer required, e.g., if, at the subsequent play position, the original image is no longer a spoiler, the original image may be used as a preview image.

Abstract: The instant invention discloses a closed-system, serum-free, microcarrier-based up-stream process to produce dengue virus. The process comprises a closed-system cell expansion comprising cell passages taking place in closed-system containers. These cell expansions represent a closed process, with replacement media, a cell-detachment agent, and quench medium added though sterile, weldable tubing (a closed-system environment) to eliminate all open aseptic processing following the initial vial thaw of the adherent cells. The viral production takes place in a closed-system bioreactor in adherent cell culture grown on microcarriers providing sufficient cell mass to support the production of dengue virus.

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: 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: 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: 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: 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: 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: 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 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: 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.