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.

Abstract: The present invention discloses a stable agrochemical composition comprising at least one chloronicotinyl compound; and a polyoxyethylene/polyoxypropylene block copolymeric chain, wherein said polyoxyethylene/polyoxypropylene block copolymeric chain is end-capped with alkyl groups. The invention also provides a process for preparing said stable agrochemical composition, a method of controlling unwanted pests by applying an agrochemically effective amount of the stable agrochemical compositions and and its use as an insecticidal composition according to the present invention.

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: 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 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: 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: 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.