Abstract: Embodiments of determining proppant distribution for a plurality of clusters within a fracture stage of a wellbore are provided herein. The embodiments include performing computational fluid dynamics modeling on at least a portion of a wellbore without any openings and a portion of the wellbore comprising at least one opening along a single azimuth to determine proppant efficiency for the at least one opening along the single azimuth while simulating flow of fluid, proppant, or any combination thereof through the wellbore, an equilibrium proppant concentration profile for the portion of the wellbore without any openings, and an equilibrium velocity profile for the portion of the wellbore without any openings. The embodiment further comprises determining proppant efficiency for at least one other opening of the wellbore at a different azimuth, generating a model that correlates the single azimuth among other items, and using the model to determine the proppant distribution.

Abstract: Disclosed herein is a pseudo-random binary sequence (PRBS) generator (200) for performing on-chip testing. It comprises of a plurality of lanes (L1-L4), wherein each lane comprises a latch group (Lg1-Lg4) capable of receiving clock signals, wherein a number of latches in each latch group is based on an output sequence to be generated for performing the on-chip testing. Each latch group is having at least one of a flip-flop and a latch is further connected with a plurality of logic gates in such a manner that an output, generated by the at least one of the flip-flop and the latch of each latch group, is provided as an input to the plurality of logic gates.

Abstract: Cooling systems and apparatus for electronic devices and related methods are disclosed. An example electronic device includes a housing including a cover; a keyboard carried by the housing, the keyboard including keycaps, at least a portion of the keycaps protruding relative to the cover, a first gap between a first one of the keycaps and the cover; a backlight carried by the housing, the backlight including a first opening; and a fan carried by the housing, the first opening defining an airflow path in the housing between the fan and the first gap.

Abstract: Techniques are presented herein for providing a persistent external Internet Protocol (IP) address for extra-cluster services. One example involves initiating, in a cluster, a first pod with a label that identifies a service. The first pod is configured to provide the service to one or more network entities outside the cluster. The first pod is assigned an IP address configured for communicating outside the cluster. A mapping of the service to the IP address is stored. In response to a determination that the service has been disrupted, a second pod is initiated in the cluster with the label that identifies the service. The second pod is configured to provide the service to the one or more network entities outside the cluster. Based on the mapping and the label that identifies the service, the IP address is assigned to the second pod.

Abstract: A computer implemented method and apparatus receive an element of information via a network interface and analyze the element of information. The method further comprises identifying a related entity to a subject of interest (SOI) based on the analyzing. The method further comprises creating a knowledge graph that represents a relationship between the SOI and the related entity, and determining an overall risk score of the SOI that uses the knowledge graph. An alert may be transmitted, via the network interface, based on the overall risk score.

Abstract: Live video streams are produced using a network server system. The network server system initially receives, via a network, one or more captured video streams that are live streams captured from a remotely-located camera, phone or the like. The captured streams are forwarded to a control device via the network to thereby permit a user of the control device to select one of the captured video streams for output to the video production stream. In response to a command received from the control device that indicates the selected capture stream, the selected capture video stream is encoded for output as the video production stream.

Abstract: A method of identifying an optimum treatment for a patient suffering from coronary artery disease, comprising: (i) providing patient information selected from: (a) status in the patient of one or more coronary disease associated biomarkers; (b) one or more items of medical history information selected from prior condition history, intervention history and medication history; (c) one or more items of diagnostic history, if the patient has a diagnostic history; and (d) one or more items of demographic data; (ii) aggregating the patient information in: (a) a Bayesian network; (b) a machine learning and neural network; (c) a rule-based system; and (d) a regression-based system; (iii) deriving a predicted probabilistic adverse event outcome for each intervention comprising percutaneous coronary intervention by placement of a bare metal stent, or a drug-coated stent; or by coronary artery bypass grafting; and (iv) determining the intervention having the lowest predicted probabilistic adverse outcome.

Abstract: Disclosed herein are apparatuses and methods for intraoperative on-demand implant customization in a surgical setting. An apparatus may include a storage portion, an implant customization portion and an interface. The storage portion may house implant blanks and implant accessories. The implant customization portion may customize the implant blanks. The interface may be configured to receive implant customization information and utilize the same to intraoperatively manipulate the implant blank to a patient-specific implant within a sterile environment. A method to customize an implant in a surgical care environment may include the steps of obtaining information related to the implant location, selecting an implant blank based on the information, and customizing the implant blank in a surgical care setting with a customization apparatus.

Abstract: A computer-implemented system, method and/or computer program product to monitor changes in business risk of a targeted entity includes retrieving one or more industry classifications for one or more core businesses of the targeted entity; receiving news feeds related to the one or more industry classifications; detecting and extracting negative news related to the core businesses of the targeted entity from the news feeds; calculating an industry confidence score based upon the negative news; determining if the industry confidence score is greater than an industry confidence threshold; calculating, in response to the industry confidence score being larger than the industry confidence threshold, an entity confidence score for the targeted entity based upon negative news; and generating, in response to the entity confidence score being larger than an entity confidence threshold, an alert report for the targeted entity.

Abstract: A rendering engine is disclosed that provides to federation of user interface elements and recursive execution of user interface elements. By federating user interface elements, the code for maintaining the various elements can be separately maintained, created, and updated without affecting other elements or the page layout of a particular page in a site.

Abstract: Various methods, apparatuses/systems, and media for automatically generating tests in Gherkin format are disclosed. A repository stores open application programming interface (API) specification definition file corresponding to an application. A processor accesses the repository to obtain the open API specification definition file as input data. A receiver receives the input data. The processor parses, in response to received input data, the specification to collect data from the open API specification definition file; structures the collected data into a data frame object; implements a processing logic to derive applicable tests using a predefined template; implements the tests by utilizing the predefined template; and automatically generates, based on the implemented tests, corresponding test cases in an executable Gherkin syntax. This process of automatically executing testing of the application based on the functional tests is performed, for example, on a Kubernetes platform.

Abstract: Provided are compositions and methods for producing eukaryotic cells that comprise homozygous modifications. The modifications include homozygous insertions of a modified open reading frame (a “mORF”), and removable surface displayed epitopes that can be used for separating cells that contain the homozygous modifications by Fluorescence-activated cell sorting (FACS). The inserted mORFs are configured so that they are in frame with an endogenous open reading frame and their expression can be controlled by an endogenous promoter. The homozygous insertions are produced using specialized double stranded DNA repair templates and CRISPR-based approaches, which provide for insertion of the homozygous modified ORFs, surface expression of two different epitopes that are separated from the modified ORFs by ribosomal peptide skipping domains, and separation and isolation of cells that contain the homozygous insertions, with concurrent or sequential removal of the epitopes using recombinase-mediated approaches.

Abstract: A computer categorizes a news article by an activity and an associated activity phase, includes receiving, by a computer, at least one news article from an article source. The computer assigns for each news article, an activity of focus selected from a list of target activities, using a first machine learning model. The computer identifies, for each news article, at least one activity phase candidate selected from a list of activity phases associated with the activity of focus, using a second machine learning model. The computer determines, for each of new article, an activity phase of focus from among the activity phase candidates. The determination is based, at least in part on a confirmation attribute associated with the article. The computer categorizes each of the articles by said activity of focus and said activity phase of focus.

Abstract: The present invention relates to high throughput in vitro genetic manipulation. In particular, it relates to scalable CRISPR gene insertions in mammalian cells.

Abstract: Method and System for Facilitating Secure Payment Transactions A method for facilitating payment transactions includes receiving, by a server, a flash code request indicative of a transaction amount. A flash code associated with the transaction amount is communicated by the server to the payer device. The flash code is encoded into a flash pattern at the payer device and communicated to a payee device of a payee for executing a payment transaction between the payer and the payee. A first request for the payment transaction is received by the server from the payee device. The first request includes the flash code obtained by decoding the flash pattern at the payee device. The flash code included in the first request is validated by the server. Based on successful validation of the flash code, the transaction amount is deducted from a payer account of the payer and credited to a payee account of the payee.

Abstract: Techniques for suggesting filters for query terms based on previously selected query results are disclosed. Common characteristics of previously selected query results are presented as a filter. A system trains a machine learning model by obtaining historical data including query characteristics and selected query results. Based on the historical data, the system trains the machine learning model to associate the first filter field with the first search term. The system receives a first query for execution. The system applies the machine learning model to the first query to identify the first filter field as a suggestion. The system: recommends the first field for filtering a first set of search results corresponding to the first query. Responsive to receiving user input selecting a first value for the first filter field, the system filters using the first value to generate a set of filtered search results, and presents the filtered search results.

Abstract: Performance enhancement of face verification systems is credited due to advancement in deep learning methods. However, these systems fail to provide interpretations for decision makings despite their ability to attain high accuracy. Various post-hoc methods have been proposed due to increased demand of deep learning models for better interpretations. However, face verification systems are still prone to adversarial attacks. Present disclosure provides a face verification system and method which addresses the issue of interpretability by employing modular neural network(s), wherein representations for each individual facial feature such as nose, mouth, eyes, etc., are learned separately and verification of input face images is performed. Through experiments, present disclosure demonstrates that the method described herein is resistant to adversarial attacks, thereby addressing another crucial weakness concerning deep learning models.

Abstract: Polyol component(s) for a recyclable polyurethane system is disclosed. The recyclable polyurethane system comprises a polyol component having a structural Formula (I), a polyol component having a structural Formula (II) or a polyol component having a structural Formula III and an isocyanate curing agent. A process(es) for preparing the polyol component having the structural Formula (I), the polyol component having the structural Formula (II) and the polyol component having the structural Formula (III) is also disclosed.

Abstract: The present disclosure relates to semiconductor structures and, more particularly, to a vertical memory devices and methods of manufacture. The structure includes: a first bit cell with a first top electrode; a second bit cell with a second top electrode; and a common bottom electrode for both the first bit cell and the second bit cell.

Abstract: Systems and techniques are described herein for processing video data. In some aspects, a method can include obtain, by a machine learning system, input video data. The input video data includes one or more luminance components for a current frame. The method can include determining, by the machine learning system, motion information for the luminance component(s) of the current frame and motion information for one or more chrominance components of the current frame using the luminance component(s) for the current frame. In some cases, the method can include determining the motion information for the luminance component(s) based on the luma component(s) of the current frame and at least one reconstructed luma component of a previous frame. In some cases, the method can further include determining the motion information for the chrominance component(s) of the current frame using the motion information determined for the luminance component(s) of the current frame.