Abstract: A mobile edge computing system can utilize a server to host and partition user equipment data for a local area network. For example, a first mobile device can send partition data to the service, wherein the partition data is representative criteria associated with which data should be associated with a particular business entity. After the criteria is established, the server can enforce the criteria upon any mobile device that is within a defined geographic location subject to the criteria. When the criteria are enforced, the server device can determine how much data has been utilized against an account of the business entity.

Abstract: Disclosed herein an improvement in the fungicidal compositions. The present invention relates to a fungicide composition based on dithiocarbamate and another fungicide compound and a method for protecting plants against fungal diseases using said composition. The invention also relates to the water-dispersible granular formulations comprising a combination of mancozeb and a copper fungicide for controlling fungal infection such as Downy Mildew Powdery mildew and Anthracnose.

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 disclosure provides systems and methods for attaching nanopore-detectable tags to nucleotides. The disclosure also provides methods for sequencing nucleic acids using the disclosed tagged nucleotides.

Abstract: This invention provides nucleotide analogues each of which comprises a tag comprising one or more Forster resonance energy transfer (FRET) acceptor fluorophores, a nucleotide polymerase having one or more FRET donor fluorophores, and methods for sequencing single-stranded.

Abstract: The invention provides nucleotide analogues and methods of use thereof for sequencing by synthesis using energy transfer dye pairs.

Abstract: Disclosed herein are highly accurate approaches for single molecule electronic nanopore-based SBS.

Abstract: Files can be managed to mitigate undesirable reading of files from secondary storage component (SSC) associated with a storage system comprising primary storage component (PSC). File management component (FMC) can determine file identifiers for files stored in SSC and store them in reference files associated with such files. FMC can determine file identifiers for files stored in PSC and store them in a file entry data store. In response to a client request, FMC can determine whether a local file stored in PSC is a copy of an archived file stored in SSC based on whether the respective file identifiers of the archived file and local file or snapshot of the local file match. If there is a suitable match, FMC can read the snapshot of the local file and provide it to client device; if not, FMC can read the archived file and provide it to client device.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for generating and providing a causal-graph interface that visually depicts causal relationships among dimensions and represents uncertainty metrics for such relationships as part of a streamlined visualization of a causal graph. The disclosed systems can determine causality among dimensions of multidimensional data and determine uncertainty metrics associated with individual causal relationships. Additionally, the disclosed system can generate a visual representation of a causal graph with nodes arranged in stratified layers and can connect the layered nodes with uncertainty-aware-causal edges to represent both the causality between the dimensions and the uncertainty metrics.

Abstract: The present disclosure describes systems, methods, and non-transitory computer readable media for generating and providing a causal-graph interface that visually depicts causal relationships among dimensions and represents uncertainty metrics for such relationships as part of a streamlined visualization of a causal graph. The disclosed systems can determine causality among dimensions of multidimensional data and determine uncertainty metrics associated with individual causal relationships. Additionally, the disclosed system can generate a visual representation of a causal graph with nodes arranged in stratified layers and can connect the layered nodes with uncertainty-aware-causal edges to represent both the causality between the dimensions and the uncertainty metrics.

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. A share priority table is maintained by the SDNAS and used to specify share priorities on the storage system. A share priority adjustment process is used to dynamically adjust the share priority values based on average usage values computed using a weighted usage function, and optionally based on limited ranges. The weighted usage function considers the average number of protocol client connections on the share, the average number of read operations on the share, whether the share supports continuous availability, and other factors. The adjusted share priority values are used to specify IO priorities which used by the operating system scheduling mechanism to schedule the IO operations and to establish CPU priorities for the IO operations.

Abstract: Systems and methods for data analytics are described. The systems and methods include receiving attribute data for at least one user, identifying a plurality of precursor events causally related to an observable target interaction with the at least one user, wherein at least one of the precursor events comprises a marketing event, predicting a probability for each of the precursor events based on the attribute data using a neural network trained with a first loss function comparing individual level training data for the observable target interaction, and performing the marketing event directed to the at least one user based at least in part on the predicted probabilities.

Abstract: Connection of clients to nodes associated with a storage system can be managed during non-disruptive upgrades (NDUs) of software or firmware of nodes. During NDU, connection manager component (CMC) manages connections of clients to nodes based on a node pool policy to determine nodes to consider for connection for a client request and a connection policy. CMC can determine whether to reduce a set of nodes to a subset of nodes having a particular upgrade status based on a threshold value associated with the particular upgrade status, which can be one of upgraded or non-upgraded. If threshold is satisfied for the set, CMC can reduce the set to the subset of nodes, and CMC can determine a node of the subset based on the connection policy. If threshold is not satisfied, the set is not reduced, and CMC determines a node from the set based on the connection policy.

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

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: The present disclosure generally relates to semiconductor structures and, more particularly, to dual trench isolation structures and methods of manufacture. The structure includes: a doped well region in a substrate; a dual trench isolation region within the doped well region, the dual trench isolation region comprising a first isolation region of a first depth and a second isolation region of a second depth, different than the first depth; and a gate structure on the substrate and extending over a portion of the dual trench isolation region.

Abstract: This invention provides nucleoside polyphosphate analogues each of which comprises a tag comprising a plurality of Raman-scattering moieties; compounds comprising said nucleoside polyphosphate analogs. This invention also provides nucleotide polymerases with one or more attached and/or conjugated noble metal nanoparticles, wherein the noble metal nanoparticles are surface-enhanced Raman spectroscopy (SERS) substrates thereby creating a region of enhanced sensitivity for surface enhanced Raman spectroscopy (SERS) within or adjacent to the polymerase. This invention also provides a surface with regions of enhanced sensitivity for surface enhanced Raman spectroscopy comprising interspersed rough or nanostructured noble metal surface. This invention also provides methods for determining the sequence of a single stranded DNA or RNA polynucleotide using one or more of nucleoside polyphosphate analogues, polymerase with noble metal nanoparticles, and surface with noble metal.

Abstract: Techniques for exchanging data segments between data aggregators and data consumers. In an embodiment, a value of an arbitrary data segment selected by a data consumer is computed. In particular, an individual user value is calculated for each user represented in the data segment, wherein the individual user value is a weighted sum (or other function) of the one or more features of the data segment attributable to that user, plus an additive gaussian noise. The overall value of the data segment is the sum of the individual user values. An offer price for the data segment can then be calculated using the overall value. Once a request is received from the consumer to purchase the data segment at the offer price, the data segment can be exchanged between the aggregator and consumer. Thus, a data marketplace or platform for the exchange of data segments is enabled.

Abstract: Techniques of forecasting web metrics involve generating, prior to the end of a period of time, a probability of a metric taking on an anomalous value, e.g., a value indicative of an anomaly with respect to web traffic, at the end of the period based on previous values of the metric. Such a probability is based on a distribution of predicted values of the metric at some previous period of time. For example, a web server may use actual values of the number of bounces collected at hourly intervals in the middle of a day to predict a number of bounces at the end of the current day. Further, the web server may also compute a confidence interval to determine whether a predicted end-of-day number of bounces may be considered anomalous. The width of the confidence interval indicates the probability that a predicted end-of-day number of bounces has an anomalous value.

Abstract: This disclosure involves allocating content-delivery resources to electronic content-delivery channels based on attribution models accuracy. For instance, a simulation is executed that involves simulating user exposures, times between user exposures, and user responses. The simulation is performed based on parameters associated with simulating user exposures to electronic content-delivery channels and user responses to the user exposures. An accuracy of a channel attribution model when estimating an attribution of an electronic content-delivery channel to a user response is evaluated based on the simulation. A channel attribution model is selected based on the evaluation. An attribution of the electronic content-delivery channel is determined by applying the selected channel attribution model to actual user exposures and actual user responses.