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: A test circuit includes a BIST clock generator and a functional clock generator. A first multiplexer selectively passes the BIST clock or the functional clock as a selected clock in response to a clock selection signal. BIST logic operates based upon the BIST clock. Functional logic operating based upon the functional clock signal. A memory operates based upon the selected clock. When the test circuit is operating in BIST mode, a clock selection circuit receives and passes a BIST signal as the clock selection signal. When the test circuit is operating in a shift phase of a scan test mode, it generates the clock selection signal as asserted, and when the test circuit is operating in the capture phase of the scan test mode, it generates the clock signal as equal to a last bit received from a scan chain.

Abstract: This invention provides methods of using labeled nucleotide polyphosphate analogues to detect the identity or presence of a nucleotide at certain positions in nucleic acid sequences with single molecule sensitivity using nanopore detection, nucleotides and primer-conjugated nanopore proteins for use in such methods, and processes for producing such nucleotides and primer-conjugated nanopore proteins.

Abstract: A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

Abstract: A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results.

Abstract: A system to query a federated store containing disparate data types and stores, the system including a UI or API to specify query details, a metadata knowledge graph with metadata describing the contents of the data stores, the relationships among them, and how to programmatically query the data stores, a predefined constrainable query (‘nodegroup’) store containing nodegroups providing a template to search the data stores, the querying layer including services and libraries to process nodegroups and generate a set of queries, a query and analysis platform providing the set of queries to at least one data store for execution at the federated stores and return a result, a scalable analytic execution layer applying machine learning/artificial intelligence techniques to analyze the query results and presenting data analysis result visualizations. A method and a non-transitory medium are also disclosed.

Abstract: This invention provides methods for detecting the presence of a plurality of predetermined compounds in a sample using a plurality of tag moieties and at least one nanopore. This invention also provides methods for determining the quantity of each of a plurality of predetermined compounds in a sample using a plurality of tag moieties and at least one nanopore. This invention further provides methods for detecting interaction of at least two predetermined compounds using at least one tag moiety and at least one nanopore.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for training and utilizing a generative machine learning model to select one or more treatments for a client device from a set of treatments based on digital characteristics corresponding to the client device. In particular, the disclosed systems can train and apply a variational autoencoder with a task embedding layer that generates estimated effects for treatment combinations. For example, the disclosed systems receive, as input, digital characteristics corresponding to the client device and various treatment combinations. The disclosed systems apply the trained generative machine learning model with the task embedding layer to the digital characteristics to generate effect estimations for the various treatment combinations. Based on the effect estimations for the treatment combinations, the disclosed systems select one or more treatments to provide to the client device.

Abstract: This invention provides methods of using labeled primers or probes for nucleic acid target detection and to detect the identity or presence of a nucleotide at certain positions in nucleic acid sequences with single molecule sensitivity using nanopore detection, and sets of oligonucleotide primers for use in such methods, as well as methods of quantitative PCR coupled with nanopore detection.

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 for operating a cross-vertical service comprises a processor and memory storing instructions that cause the processor to effectuate operations. The operations include receiving, at the cross-vertical service, a registration of a first device from a first vertical service associated with the first device and registering the cross-vertical service with a second vertical service. The operations include retrieving data from the second vertical service and monitoring a characteristic of the first device. The operations include, based on at least one of the data and the characteristic, communicating a trigger to the second vertical service to effect an action. In response to the trigger, the second vertical service performs the action.

Abstract: Aspects of the subject disclosure may include, for example, a method in which first performance data and second performance data are obtained for a first virtual machine and a second virtual machine on a network, the performance data is analyzed, performance of the first virtual machine is predicted, and a performance trend for the first virtual machine is determined. Performance of the second virtual machine is predicted in accordance with analyzing of the second performance data and a potential transfer of execution of an application from the first virtual machine to the second virtual machine. Execution of the application is transferred to the second virtual machine after determining an expected improvement in execution of the application relative to the first virtual machine. Other embodiments are disclosed.

Abstract: This invention provides methods of using labeled nucleotide polyphosphate analogues to detect the identity or presence of a nucleotide at certain positions in nucleic acid sequences with single molecule sensitivity using nanopore detection, nucleotides and primer-conjugated nanopore proteins for use in such methods, and processes for producing such nucleotides and primer-conjugated nanopore proteins.

Abstract: This invention provides nucleoside polyphosphate analogs each of which comprises a tag comprising a plurality of Raman-scattering moieties; compounds comprising said nucleoside polyphosphate analogs; and methods for determining the sequence of a single-stranded DNA or RNA using said nucleoside polyphosphate analogs. This invention also provides methods for detecting the interaction of a plurality of predetermined compounds, at least one of which having attached thereto a tag comprising a plurality of Raman-scattering moieties.

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: 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: Aspects of the subject disclosure may include, for example, a method in which first performance data and second performance data are obtained for a first virtual machine and a second virtual machine on a network, the performance data is analyzed, performance of the first virtual machine is predicted, and a performance trend for the first virtual machine is determined. Performance of the second virtual machine is predicted in accordance with analyzing of the second performance data and a potential transfer of execution of an application from the first virtual machine to the second virtual machine. Execution of the application is transferred to the second virtual machine after determining an expected improvement in execution of the application relative to the first virtual machine. Other embodiments are disclosed.

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

Abstract: Implementations are provided herein for optimizing the usage of cluster resources in a cluster of nodes operating as a distributed file system. A node relative capacity table can be generated that inventories the total capacity of each node within the cluster of nodes. Each node can then be dynamically monitored for usage of node resources. A node available capacity table can be dynamically populated with the amount of available capacity each node has for compute, memory usage, and network bandwidth. When clients connect to the distributed file system, they can be directed to have their requests serviced by nodes with greater available capacity based on policy.

Abstract: Techniques are disclosed for identifying anomalies in small data sets, by identifying anomalies using a Generalized Extreme Student Deviate test (GESD test). In an embodiment, a data set, such as business data or a website metric, is checked for skewness and, if found to be skewed, is transformed to a normal distribution (e.g., by applying a Box-Cox transformation). The data set is checked for presence of trends and, if a trend is found, has the trend removed (e.g., by running a linear regression). In one embodiment, a maximum number of anomalies is estimated for the data set, by applying an adjusted box plot to the data set. The data set and the estimated number of anomalies is run through a GESD test, and the test identifies anomalous data points in the data set, based on the provided estimated number of anomalies. In an embodiment, a confidence interval is generated for the identified anomalies.