Abstract: Various methods, apparatuses/systems, and media for implementing a smart cloud deployment module is disclosed. A datacenter stores information data of all availability zones (AZs) associated with deployment of an application. A processor builds an availability zone (AZ) application programming interface (API) and calls the AZ API to retrieve the information data from the datacenter; dynamically and automatically determines, in response to calling the AZ API, prior to deploying the application, whether a first AZ defined in a deployment pipeline among the AZs within the datacenter is healthy for deployment of the application; and deploys the application utilizing the deployment pipeline when it is determined that the first AZ defined in the deployment pipeline is healthy. The processor also checks for another healthy AZ within the same datacenter or within other regions outside of the datacenter when it is determined that the first AZ is not healthy.

Abstract: Embodiments can include receiving, by a data processing system, digital teaching content monitoring, by the data processing system, user gaze of the digital teaching content.

Abstract: Aspects of the disclosure relate to preserving text and speech semantics using real-time virtual corpora in live interactive chatbot sessions. A computing platform may receive user input and may determine whether characteristics of the input are identifiable. Based on determining the characteristics are identifiable, the computing platform may populate the characteristics using a global corpora and may use the populated characteristics to generate a response to the input. Alternatively, based on determining the characteristics are unidentifiable, the computing platform may determine whether the same or a similar input is stored in a virtual corpora. If the same or a similar input is stored in the virtual corpora, the computing platform may generate a response to the input using the virtual corpora. Alternatively, if the same or a similar input was not previously received, the computing platform may gather information from the user to generate a response to the input.

Abstract: Remote power supply systems are provided for motor vehicles for powering auxiliary devices separate from the vehicles. Exemplary remote power supply systems may include one or more exportable power outlet boxes that include electrical power outlets for connecting the auxiliary devices. The electrical power outlets may be powered by a generator system of the vehicle. A retractable power extension cord may be connected to one or more of the electrical power outlets for repositioning the electrical power outlets at a distance away from the vehicle. Users may also supply their own extension cord, in which case a human machine interface of the system may allow the users to enter extension cord-related parameters. A control module of the system may determine a maximum recommended power limit of the extension cord based on known cord-related parameters. The control module may further issue alerts or power shutdown commands when certain extension cord overload or overtemperature conditions exist.

Abstract: Systems and methods are disclosed herein for applying behavioral-based parental controls for media assets. The disclosed techniques herein discuss determining a media asset viewed by a user and character actions of a character within the media asset. Behavioral user data is received which includes a user action. A determination is made whether the user action matches one of the character actions. If a match is found, a parental control restriction setting for the media asset is applied and this parental control restriction is stored in memory.

Abstract: The present disclosure relates generally to improving surgical safety, and more specifically to techniques for automated detection of non-compliance to surgical protocols in a surgical environment such as an operating room. An exemplary method comprises: receiving one or more images of the operating room captured by one or more cameras; detecting a surgical milestone associated with a surgery in the operating room using a first set of one or more trained machine-learning models based on the received one or more images; detecting one or more activities in the operating room using a second set of one or more trained machine-learning models based on the received one or more images; and determining, based on the detected one or more activities and a surgical protocol associated with the detected surgical milestone, that an instance of non-compliance to the surgical protocol has occurred in the operating room.

Abstract: The present disclosure relates generally to improving surgery safety, and more specifically to monitoring various aspects of an operating room. An exemplary method for generating an alert to close a door of an operating room comprises: determining a status of the door of the operating room by: receiving one or more images of the door captured by one or more cameras; inputting the one or more images into a trained machine-learning model to obtain the status of the door, wherein the machine-learning model is trained using training images depicting open or closed doors; receiving one or more signals from one or more sensors in the operating room; determining, based on the one or more signals, whether an alert threshold is reached; and if the alert threshold is reached and the status of the door is open, generating the alert to close the door of the operating room.

Abstract: The present disclosure relates generally to improving operating room scheduling and resource management efficiency, and more specifically to techniques for monitoring various aspects of an operating room. An exemplary method for adjusting a surgical schedule specifying timing information for one or more surgeries to occur in an operating room comprises: receiving one or more images of the operating room captured by one or more cameras; detecting one or more surgical milestones of a plurality of predefined surgical milestones using one or more trained machine-learning models based on the received one or more images, wherein the one or more machine learning models are trained using a plurality of training images depicting the one or more surgical milestones; and adjusting, based on the detected one or more surgical milestones, the surgical schedule specifying timing information for the one or more surgeries to occur in the operating room.

Abstract: Various embodiments described herein relate to an anomaly detection framework adaptable to different asset types. In this regard, a data stream associated with a first asset is received. The data stream is then processed to generate output data by encoding the data stream based on historical data associated with the first asset, the historical data comprising clustered data representative of fault states and one or more non-fault states. Furthermore, in accordance with a determination that the generated output data is indicative of a potential fault of the first asset, fault data indicative of the potential fault is generated and caused to be transmitted to an administrative device for display.

Abstract: Methods and systems for curating notifications from unfollowed accounts are described herein. The system tracks that a first account previously followed a second account and subsequently unfollowed the second account. The system identifies an interest of the first account and monitors the activities of the second account for activity that matches the interest. If there is a match between the interest and an activity of the second account, the system notifies the first account of the activity. These methods and systems provide the user with relevant information from unfollowed accounts.

Abstract: A database manager segments data stored in a database into a plurality of data segments and randomly combines the data segments into a plurality of data chromosomes that form an initial generation of a genetic algorithm. The database manager then runs multiple iterations of the genetic algorithm on the initial generation, wherein each iteration forms a new generation of data chromosomes based on data segments having the highest optimization metrics from a previous generation, wherein the optimization metric of a data segment represents a degree of importance of the data segment. When the genetic algorithm converges a fitness score is calculated for each data segment, wherein the fitness score of a data segment equals a number of iterations of the genetic algorithm the data segment survived before the genetic algorithm was terminated. Data is deleted from the database based on the fitness scores of the data segments.

Abstract: Various methods, apparatuses/systems, and media for automatically detecting discrepancy between preset data and input data are provided. A processor implements a platform and language agnostic smart data discrepancy detection module that automatically detects discrepancy between preset data and input data (i.e., larger than the preset data) during data processing of a commercial transaction involving a gratuity, particularly when a credit card payment is being made. The processor also implements an optimized processes of conducting a commercial transaction that includes a gratuity data based on user preferences that are obtainable from an application during execution thereof, and automatically alerts the user when data discrepancy is detected, i.e., when the gratuity data is more than preset gratuity data set by the user on the application.

Abstract: A turbine engine comprising an engine core having a rotor and a stator, and a floating seal assembly sealing at least portions of the rotor and the stator relative to a higher-pressure area and a lower-pressure area. The floating seal assembly can comprise a carriage assembly at least partially defining a seal cavity and a seal body floating within the seal cavity. The floating seal assembly can further include at least one of a seal located between the seal body and the carriage assembly, and a seal face located between the seal body and the carriage assembly.

Abstract: Functionalized benzocycloheptenes are one of the most important classes of bicyclic framework that have been investi-gated in different areas of biological activities. The claimed invention provides preparations of benzocycloheptene analogues, inhibitors of PI3K and MK2, pharmaceutical compositions containing them and their use in therapy. The compounds of Formula I, II, III, IV, V and VI may be used as anti type 2 diabetes, antipyretic, anti-inflammatory, antiepileptic, anticancer, antiulcer, CNS-stimulant, and CNS-depressant. These benzocycloheptene derivatives are useful in treatment of PI3K and MK2 related disorders.

Abstract: Methods, computing systems, and computer-readable storage media are provided for automatic on-cloud integrated validations for client customizations. According to the methods, a first entity provides a hosted environment in a cloud. The hosted environment hosts a pre-release version of software. The hosted environment receives customizations to the pre-release version of the software. The customizations replace one or more submodules of the pre-release version of the software with a customized version of the one or more submodules, or add one or more new submodules to the customized version of the software. The pre-release version of the software is validated, via an automated test procedure, as being compatible with the customizations.

Abstract: Systems and methods for inferring a status of a cell population are provided. Described techniques allow deconvolving a first clonal population comprising a first plurality of cells of a species, wherein nucleic acid sequence reads from each cell in the first plurality of cells are obtained. The nucleic acid sequence reads are mapped into bins representing portions of a reference genome, and a pattern of sequence read counts for each cell across the multiple bins is used to assign a cell to a group, thereby inferring a mitotic status of the cell. The assignment of nucleic acid sequence reads into bins is also be used for segregating cells into classes based on a status of a certain biological marker in each cell. Comparison of sequence read counts for a subset of bins across the cell classes allows evaluating effect of a compound on a cell status.

Abstract: Circuits, methods, and apparatus that can allow chipsets in an electronic device to share information such that they can more efficiently utilize resources that are available in the electronic device. One example can provide a bus that is shared by three or more chipsets in an electronic device. This shared bus can be used by the chipsets in the electronic device to communicate and negotiate for the utilization of resources of the electronic device.

Abstract: The present invention relates to a method of detecting an anomaly using a plurality of images. The method comprises determining a subset of images from the plurality of images, comprising one or more first features. Further, one or more regions comprising one or more second features are identified in each image from the subset of images. Finally, detecting the anomaly from the subset of images based on the one or more regions. Therefore, accuracy of detecting anomalies is increased by using the subset of images.

Abstract: Provided herein are systems and methods for extracting text from a document. Different optical character recognition (OCR) tools are used to extract different versions of the text in the document. Metrics evaluating the quality of the extracted text are compared to identify and select higher quality extracted text. A selected portion of text is compared to a threshold to ensure minimal quality. The selected portion of text is then saved. Error correction can be applied to the selected portion of text based on errors specific to the OCR tools or the document contents.

Abstract: A dataset is obtained comprising data blocks, each representing a different characteristic, for a plurality of cells across a plurality of bins, each bin representing a different portion of a reference sequence. Cells are clustered on one such characteristic across the bins thereby forming a tree that includes root, intermediate, and terminal nodes, where the cells are terminal nodes and intermediate nodes have daughter nodes, themselves being intermediate nodes or a cell. A subset of the tree is displayed that includes the root and leaves, each leaf representing an intermediate node or a cell. A heat map of the characteristic is also displayed, the map including a segment for each leaf, across the bins. When a segment represents an intermediate node, it is an average of the characteristic across daughters of the node. Graphs of characteristics for the root across the bins are also displayed.