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: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support application portfolio management. Input data may be received that is associated with a set of applications. The input data may indicate, for each application of the set of applications, a name of the application and a description of the application. For an application of the set of applications, a functional score, a cost, and a technical score may be determined based on the name of the application, the description of the application, or a combination thereof. A disposition recommendation for the application may be determined based on the functional score, the cost, and the technical score. In some implementation, an indication of the disposition recommendation of the application may be output via a graphical user interface.

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.

Abstract: A Software Defined Network Attached Storage (SDNAS) executes on a storage system to provide access to shared file systems, referred to as “shares”, on the storage system. Users access the shares using protocol clients. To enable the SDNAS to provide differentiated prioritization between the various shares, a share priority table is maintained by the SDNAS. As shares are created, or optionally after the shares have been created, each share is assigned a share priority which is stored in the share priority table. When an IO operation is received from a protocol client on a share, the SDNAS process determines a share priority value of the share from the share priority table. The share priority value is used to specify an IO priority which used by the operating system scheduling mechanism to schedule the IO operation and to establish a CPU priority for the IO operation.

Abstract: In implementations of systems for cloud-based resource allocation using meters, a computing device implements a resource system to receive resource data describing an amount of cloud-based resources reserved for consumption by client devices during a period of time and a total amount of cloud-based resources consumed by the client devices during the period of time. The resource system determines a consumption distribution using each meter included in a set of meters. Each of the consumption distributions allocates a portion of the total amount of the cloud-based resources consumed to each client device of the client devices. A particular meter used to determine a particular consumption distribution is selected based on a Kendall Tau coefficient of the particular consumption distribution. An amount of cloud-based resources to allocate for a future period of time is estimated using the particular meter and an approximate Shapley value.

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: A mobile edge computing (MEC) service area can utilize packet header source and/or destination internet protocol data and session initiation protocol source and/or destination internet protocol data to map internet protocol addresses associated with mobile devices. The MEC can comprise a translation component that translates service provider internet protocol addresses such that they are perceived as enterprise premises internet protocol addresses. Conversely, the translation component can translate enterprise premises internet protocol addresses such that they are perceived as service provider internet protocol addresses.

Abstract: In an embodiment, a method for performing scan testing includes: generating first and second scan clock signals; providing the first and second scan clock signals to first and second scan chains, respectively, where the first and second scan clock signals includes respective first shift pulses when a scan enable signal is asserted, and respective first capture pulses when the scan enable signal is deasserted, where the first shift pulse of the first and second scan clock signals correspond to a first clock pulse of a first clock signal, where the first capture pulse of the first scan clock signal corresponds to a second clock pulse of the first clock signal, and where the first capture pulse of the second scan clock signal corresponds to a first clock pulse of a second clock signal different from the first clock signal.