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 alia, are compounds, compositions, and methods of use thereof in the sequencing of a nucleic acid.

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 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: One illustrative transistor device disclosed herein includes a gate structure positioned above a semiconductor substrate and first and second overall cavities formed in the semiconductor substrate on opposite sides of the gate structure. In this example, each of the first and second overall cavities comprise a substantially vertically oriented upper epitaxial cavity and a lower insulation cavity, wherein the substantially vertically oriented upper epitaxial cavity extends from an upper surface of the semiconductor substrate to the lower insulation cavity. The transistor also includes an insulation material positioned in at least a portion of the lower insulation cavity of each of the first and second overall cavities and epitaxial semiconductor material positioned in at least the substantially vertically oriented upper epitaxial cavity of each of the first and second overall cavities.

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: A method for generating stylistic feature prescriptions to align a body of text with one or more target goals includes receiving, at a stylistic feature model, a body of text, where the body of text is selected by a user via a graphical user interface (GUI). The stylistic feature model identifies stylistic features from the body of text and populates a stylistic feature vector with the stylistic features. A trained de-confounded prediction model receives the stylistic feature vector. The trained de-confounded prediction model using the stylistic feature vector generates a prediction value for each of one or more target goals, compares the prediction value for each of the one or more target goals to a target value for each of the one or more target goals and outputs, for display on the GUI, one or more stylistic feature prescriptions to the body of text based on results of the comparing.

Abstract: The present application discloses novel and inventive methods, apparatuses, and the required molecules to detect compounds (analytes) utilizing antibodies or other protein-binding molecules and nanopore-detectable tags using specially designed nanopores, coupled with ionic current readout, to provide a single molecule electronic detection solution, offering unique opportunities for multiplexing and quantitation.

Abstract: In various implementations, a method includes receiving a set of time series data that corresponds to a metric. A seasonal pattern is extracted from the set of time series data and the extracted seasonal pattern is filtered from the set of time series data. A predictive model is generated from the filtered set of data. The extracted seasonal pattern is filtered from another set of time series data where the second set of time series data corresponds to the metric. The filtered second set of time series data is compared to the predictive model. An alert is generated to a user for a value within the filtered second set of time series data which falls outside of the predictive model.

Abstract: A method for generating stylistic feature prescriptions to align a body of text with one or more target goals includes receiving, at a stylistic feature model, a body of text, where the body of text is selected by a user via a graphical user interface (GUI). The stylistic feature model identifies stylistic features from the body of text and populates a stylistic feature vector with the stylistic features. A trained de-confounded prediction model receives the stylistic feature vector. The trained de-confounded prediction model using the stylistic feature vector generates a prediction value for each of one or more target goals, compares the prediction value for each of the one or more target goals to a target value for each of the one or more target goals and outputs, for display on the GUI, one or more stylistic feature prescriptions to the body of text based on results of the comparing.

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

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: Techniques are described for jointly modeling knowledge tracing and hint-taking propensity. During a read phase, a co-learning model accepts as inputs an identification of a question and the current knowledge state for a learner, and the model predicts probabilities that the learner will answer the question correctly and that the learner will use a learning aid (e.g., accept a hint). The predictions are used to personalize an e-learning plan, for example, to provide a personalized assessment. By using these predictions to personalize a learner's experience, for example, by offering hints at optimal times, the co-learning system increases efficiencies in learning and improves learning outcomes. Once a learner has interacted with a question, the interaction is encoded and provided to the co-learning model to update the learner's knowledge state during an update phase.

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: 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: According to some embodiments, system and methods for building a model are provided, comprising a display; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: present a user interface on a display, the user interface including one or more user-entry fields to build a model, user-entry fields is associated with a selection of big data or small data for use with the model; receive at least one data source in a user-entry field associated with the model; determine if data in the data source includes big data or small data; and in response to the determination of big data or small data in the data source, execute the model with data from the data source in a big data or small data execution environment. Numerous other aspects are provided.

Abstract: Techniques are disclosed for identifying, assessing, and presenting differences between segments of customers. The techniques identify differences in categorical features of the customers in two segments. The techniques use observed data to identify differences in a categorical feature. The techniques then assess whether the observed difference is a real difference applicable to the entire customer population or the result of random chance. The categorical features with the most significant differences (i.e., unlikely due to random chance) are presented, for example, to allow a marketer to easily appreciate the most significant segment differences. Certain techniques account for segment overlap (i.e., customers being in both segments) in assessing whether differences are due to random chance. Certain techniques limit the presented categorical features to account for common knowledge and/or false testing issues.

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: Embodiments are disclosed for bundling and arranging online content fragments for presentation based on content-specific metrics and inter-content constraints. For example, a content management application accesses candidate content fragments, a content-specific metric, and an inter-content constraint. The content management application computes minimum and maximum contribution values for the candidate content fragments. The content management application selects, based on the computed minimum and maximum contribution values, a subset of the candidate content fragments. The content management application applies, subject to the inter-content constraint, a bundle-selection function to the selected candidate content fragments and thereby identifies a bundle of online content fragments. The content management application outputs the identified bundle of online content fragments for presentation via an online service.