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

Abstract: A mobile edge computing (MEC) service area can utilized 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: A system implements a key value memory network including a key matrix with key vectors learned from training static feature data and time-series feature data, a value matrix with value vectors representing time-series trends, and an input layer to receive, for a target entity, input data comprising a concatenation of static feature data of the target entity, time-specific feature data, and time-series feature data for the target entity. The key value memory network also includes an entity-embedding layer to generate an input vector from the input data, a key-addressing layer to generate a weight vector indicating similarities between the key vectors and the input vector, a value-reading layer to compute a context vector from the weight and value vectors, and an output layer to generate predicted time-series data for a target metric of the target entity by applying a continuous activation function to the context vector and the input vector.

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 a nucleic acid.

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 disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.

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

Abstract: This disclosure involves predictive modeling with entity representations computed from neural network models simultaneously trained on multiple tasks. For example, a method includes a processing device performing operations including accessing input data for an entity and transforming the input data into a dense vector entity representation representing the entity. Transforming the input data includes applying, to the input data, a neural network including simultaneously trained propensity models. Each propensity model predicts a different task based on the input data. Transforming the input data also includes extracting the dense vector entity representation from a common layer of the neural network to which the propensity models are connected.

Abstract: The invention provides various orthogonal nucleotide analogues and methods for using combinations of said various orthogonal nucleotide analogues for sequencing by synthesis.

Abstract: The present disclosure relates to semiconductor structures and, more particularly, to high voltage diode structures and methods of manufacture. The structure includes: a diode structure composed of first well of a first dopant type in a substrate; and a well ring structure of the first dopant type in the substrate which completely surrounds the first well of the first dopant type, and spaced a distance “x” from the first well to cut a leakage path to a shallower second well of a second dopant type.

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: This disclosure is related to a method of sequencing a single-stranded DNA using deoxynucleotide polyphosphate analogues and translocation of tags from incorporated deoxynucleotide polyphosphate analogues through a nanopore.

Abstract: This disclosure involves using key-value memory networks to predict time-series data. For instance, a computing system retrieves, for a target entity, static feature data and target time-series feature data. The computing system can normalize the target time-series feature data based on a normalization scale. The computing system also generates input data by, for example, concatenating the static feature data, the normalized time-series feature data, and time-specific feature data. The computing system generates predicted time-series data for the target metric of the target entity by applying a key-value memory network to the input data. The key-value memory network can include a key matrix learned from training static feature data and training time-series feature data, a value matrix representing time-series trends, and an output layer with a continuous activation function for generating predicted time-series data.

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: A mobile edge computing (MEC) service area can utilized 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: 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: 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.