Abstract: According to an embodiment, a digital circuit includes an OR gate and a flip-flop. The OR gate includes a first input and a second input. The first input of the OR gate is coupled to a control signal, and the second input of the OR gate is coupled to an uncovered functional combination logic of the digital circuit. The first input of the OR gate is configured to be pulled low by the control signal in response to setting the digital circuit in a configuration to test the uncovered functional combination logic. The flip-flop includes a reset pin or a set pin coupled to the output of the OR gate. The output of the flip-flop is configured to be observed during a testing of the uncovered functional combination logic to detect defects in the digital circuit.

Abstract: The present invention discloses a composition comprising superabsorbent polymers in the form of flowable suspension that aid in seed treatment as well as soil quality improvement. The present invention further discloses process of preparing the composition for agriculture and a method of improving seed and soil health using the composite system.

Abstract: In some examples, an environment evaluation system accesses interaction data recording interactions by users with an online platform hosted by a host system and computes, based on the interaction data, interface experience metrics. The interface experience metrics includes an individual experience metric for each user and a transition experience metric for each transition in the interactions by the users with the online platform. The environment evaluation system identifies a user with the individual experience metric below a pre-determined threshold, identifies a transition performed by the user that has a transition experience metric below a second threshold, and analyzes the transition to determine users who have performed the transition. The environment evaluation system updates the host system with the individual experience metrics and the transition metrics, based on which the host system can perform modifications of interface elements of the online platform to improve the experience.

Abstract: Disclosed herein, inter alia, are nucleotide analogues, and methods of use thereof, having cleavable orthogonal linkers.

Abstract: Disclosed herein, inter alia, are compounds, compositions, and methods of use thereof in the sequencing of a nucleic acid.

Abstract: Disclosed herein, inter alia, are compounds, compositions, and methods of use thereof in the sequencing of a nucleic acid.

Abstract: A system can maintain information indicative of prohibited computer operations, wherein the information is accessible to respective computing clusters of a group of computing clusters, and wherein the information is stored separately from the group of computing clusters. The system can obtain, by a service of a first computing cluster of the group of computing clusters, the information. The system can, in response to receiving, at the first computing cluster, a request to perform an operation on a first computer of the first computing cluster, in response to determining, based on the information, that the operation is prohibited, prevent the operation from occurring; and, in response to determining, based on the information, that the operation is not prohibited, permit the operation to occur.

Abstract: In some examples, an environment evaluation system accesses interaction data recording interactions by users with an online platform hosted by a host system and computes, based on the interaction data, interface experience metrics. The interface experience metrics includes an individual experience metric for each user and a transition experience metric for each transition in the interactions by the users with the online platform. The environment evaluation system identifies a user with the individual experience metric below a pre-determined threshold, identifies a transition performed by the user that has a transition experience metric below a second threshold, and analyzes the transition to determine users who have performed the transition. The environment evaluation system updates the host system with the individual experience metrics and the transition metrics, based on which the host system can perform modifications of interface elements of the online platform to improve the experience.

Abstract: Disclosed herein, inter alia, are compounds, compositions, and methods of use thereof in the sequencing of a nucleic acid.

Abstract: In implementations of systems for predicting a terminal event, a computing device implements a termination system to receive input data defining a period of time and a maximum event threshold. This system uses a classification model to generate event scores for a plurality of entity devices. Each of the event scores indicates a probability of an event occurrence for a corresponding entity device within a period of time. The plurality of entity devices are segmented into a first segment and a second segment based on an event score threshold. Entity devices included in the first segment have event scores greater than the event score threshold and entity devices included in the second segment have event scores below the event score threshold. The termination system generates an indication of a probability that a number of event occurrences for the entity devices included in the second segment exceeds the maximum even threshold within the period of time.

Abstract: An archival job is assessed to calculate loss of data reduction efficiency due to block-level data deduplication. Archivable data, or individual storage objects or data structures therein, are moved to archival storage contingent upon satisfaction of a predetermined condition related to data reduction efficiency. Archivable data, or individual storage objects or data structures therein, that fail to satisfy the predetermined condition are maintained in primary storage. The loss of data reduction efficiency and the predetermined condition may be expressed as a percentage of maximum possible data reduction that would result in the absence of data deduplication.

Abstract: Methods and systems disclosed herein relate generally to systems and methods for using a machine-learning model to predict user-engagement levels of users in response to presentation of future interactive content. A content provider system accesses a machine-learning model, which was trained using a training dataset including previous user-device actions performed by a plurality of users in response to previous interactive content. The content provider system receives user-activity data of a particular user and applies the machine-learning model to the user-activity data, in which the user-activity data includes user-device actions performed by the particular user in response to interactive content. The machine-learning model generates an output including a categorical value that represents a predicted user-engagement level of the particular user in response to a presentation of the future interactive content.

Abstract: Example implementations include a method, apparatus and computer-readable medium for providing security system information using an augmented reality (AR) effect, comprising receiving security system information from at least one security device in an environment, wherein the security system information is of a first type of security event. The implementations further include selecting, from a plurality of AR effects, a first AR effect that is configured to output information of the first type. Additionally, the implementations further include determining a three-dimensional location in the environment that is associated with the security system information. Additionally, the implementations further include generating, for display on a user interface, an AR object of the first AR effect at the three-dimensional location.

Abstract: In an embodiment, a method for performing scan includes: entering scan mode; receiving a test pattern; applying the test pattern through a first scan chain by asserting and deasserting a scan enable signal to respectively perform shift and capture operations to the first scan chain; while applying the test pattern through the first scan chain, controlling a further scan flip-flop with the first scan chain without transitioning a further scan enable input of the further scan flip-flop; and evaluating an output of the first scan chain to detect faults.

Abstract: This invention provides methods for detecting viruses, viral antigens, viral antibodies, and other antigens and antibodies using single molecule electronic nanopores and polymer tags.

Abstract: Certain embodiments involve extracting seasonal, level, and spike components from a time series of metrics data, which describe interactions with an online service over a time period. For example, an analytical system decomposes the time series into latent components that include a seasonal component series, a level component series, a spike component series, and an error component series. The decomposition involves configuring an optimization algorithm with a constraint indicating that the time series is a sum of these latent components. The decomposition also involves executing the optimization algorithm to minimize an objective function subject to the constraint and identifying, from the executed optimization algorithm, the seasonal component series, the level component series, the spike component series, and the error component series that minimize the objective function. The analytical system outputs at least some latent components for anomaly-detection or data-forecasting.

Abstract: A system can maintain information indicative of prohibited computer operations, wherein the information is accessible to respective computing clusters of a group of computing clusters, and wherein the information is stored separately from the group of computing clusters. The system can obtain, by a service of a first computing cluster of the group of computing clusters, the information. The system can, in response to receiving, at the first computing cluster, a request to perform an operation on a first computer of the first computing cluster, in response to determining, based on the information, that the operation is prohibited, prevent the operation from occurring; and, in response to determining, based on the information, that the operation is not prohibited, permit the operation to occur.

Abstract: This disclosure provides systems and methods for sequencing nucleic acids using nucleotide analogues and translocation of tags from incorporated nucleotide analogues through a nanopore. In aspects, this disclosure is related to composition, method, and system for sequencing a nucleic acid using tag molecules and detection of translocation through a nanopore of tags released from incorporation of the molecule.

Abstract: A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

Abstract: A method and system for outage forecasting are described. One or more aspects of the method and system include receiving, by a machine learning model, time series data for a service metric of a computer network; generating, by the machine learning model, probability distribution information for the service metric based on the time series data, wherein the probability distribution information is generated using a machine learning model that is trained using a distribution loss and a classification loss; and generating, by a forecasting component, outage forecasting information for the computer network based on the probability distribution information.