Abstract: An approach is disclosed herein that retrieves data from a data set that includes first column data comprising a first data type and a second data type. The approach structures the first column data into second column data and third column data based on the first data type and the second data type. The approach determines a first semantic category and a second semantic category for the first data type and the second data type, and then determines a first privacy category and a second privacy category based on the first semantic category and the second semantic category. The approach anonymizes the second column data and the third column data to produce anonymized data based on the first privacy category and the second privacy category, respectively. In turn, the approach generates an anonymized view of the data set using the anonymized data.

Abstract: A system for automatically generating responses to user queries includes one or more processors, operable when executing instructions to: receive a query from a user, determine a first set of similarity scores between the query and a plurality of stored queries stored in a data store, and determine whether a first similarity score of the first set of similarity scores meets a first threshold. In accordance with a determination that the first similarity score meets the first threshold, the processors are further operable to obtain a set of case information for the current case; retrieve case information for at least one precedent case; determine a second set of similarity scores between the current case and the at least one precedent case; determine whether a second similarity score of the second set of similarity scores meets a second threshold; and generate a response to the query.

Abstract: Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linking categories can be selected from the potential linking categories based on the validity, and related data values can be identified between the plurality of datasets based on the selected linking categories. Also provided herein are methods and systems for classifying data values as reconciled or non-reconciled. The method can include identifying a plurality of related data values in a plurality of datasets. For each of the plurality of related data values, a similarity score and confidence score can be determined, and the plurality of related data values can be classified as reconciled or non-reconciled based on the similarity score and/or the confidence score.

Abstract: Disclosed herein are systems and methods for determining retirement readiness of an individual and/or household. The method comprises receiving input data comprising characteristic data of an individual; executing a simulation based on the received input data; displaying, based on a response of the simulation to the received input data, an initial retirement readiness of the individual; receiving a user input comprising a selection of one or more scenarios based on the displayed initial retirement readiness; executing the simulation based at least in part on the one or more selected scenarios; and displaying, based on a response of the simulation to the one or more selected scenarios, an updated retirement readiness of the individual.

Abstract: The disclosure relates to the use of atovaquone or a salt thereof, and, optionally, proguanil or a salt thereof, for the treatment of various human diseases and conditions, including gastrointestinal disorders and, in particular, those associated with inflammation, such as inflammatory bowel disease (IBD), ulcerative colitis (UC), and Crohn's disease (CD).

Abstract: The present disclosure relates generally to storing computer models, and more specifically to a platform for achieving replicability of a computer model (e.g., a trained machine-learning algorithm) by storing and providing access to data associated with the computer model using an immutable and decentralized ledger system (e.g., a blockchain ledger) and a distributed database. An exemplary computer-enabled method for storing a computer model, the method comprises: receiving data associated with the computer model; generating one or more asset files based on the data associated with the computer model; generating one or more hash values corresponding to the one or more asset files; generating one or more of location trackers corresponding to the one or more asset files; generating a ledger entry comprising the one or more hash values and the one or more location trackers; and adding the ledger entry to a blockchain ledger.

Abstract: Systems and methods are described for generating efficient iterative electronic recommendation structures. In various aspects, one or more processors aggregate a plurality of ratings vectors, where each ratings vector is associated with a vector type and contains one or more content ranking metrics associated with one or more users. The one or more processors generate similarity pairing values from the plurality of ratings vectors, where each similarity pairing value is based on a similarity mapping between a first ratings vector and a second ratings vector. The one or more processors further generate an electronic recommendation structure based on the similarity pairing values, where the electronic recommendation structure includes a bi-directional look-up interface that is configured to return a bi-directional recommendation value after receiving a lookup request for either the vector type of the first ratings vector or the vector type of the second ratings vector.

Abstract: An exemplary system for constructing data structures that can perform inferential reasoning to answer input queries may receive input data, extract and cluster entities in the input data into topic clusters, and for a first topic cluster construct a data structure comprising a plurality of nodes, wherein nodes of the data structure respectively represent a topic entity extracted from the input data and grouped into the first topic cluster, and wherein a first node of the data structure is associated with a second node of the data structure based on the first node and the second node respectively representing a first topic entity and a second topic entity associated in the input data with a common one of the one or more identified linguistic modalities. An exemplary system comprising the data structure may receive an input query and generate a response to the input query using the data structure.

Abstract: Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for a UE to determine whether to maintain or remove a radio frequency (RF) path from a set of candidate paths considered for transmit antenna switch diversity (ASDIV). The determination allows the UE to avoid signal loss or degradation in coexisting networks at similar frequency ranges. For example, ASDIV allows two or more antennas to form different input and output ports to establish different RF paths. Coexistent networks, such as wireless wide-area-network (WWAN) and wireless local-area-network (WLAN) may utilize different RF paths to optimize reliability and efficiency. The overlapping of the bands may cause signal attenuation or degradation from at least one of the networks. The present disclosure provides techniques for detecting signal attenuation at least partially caused by overlapping bands and removing an associated RF path to avoid such signal loss or attenuation.

Abstract: The present invention provides methods for large-scale flaviviral vaccine production and manufacture. The methods provided herein are specifically contemplated for large-scale production and manufacture of live, attenuated flaviviral vaccines such as live, attenuated, dengue virus vaccines. Further, the methods provided herein pertain to formulation of live, attenuated, monovalent, divalent, trivalent, or tetravalent viral vaccine products.

Abstract: The present invention provides methods for large-scale flaviviral vaccine production and manufacture. The methods provided herein are specifically contemplated for large-scale production and manufacture of live, attenuated flaviviral vaccines such as live, attenuated, dengue virus vaccines. Further, the methods provided herein pertain to formulation of live, attenuated, monovalent, divalent, trivalent, or tetravalent viral vaccine products.

Abstract: A system for automatically generating responses to user queries includes one or more processors, operable when executing instructions to: receive a query from a user, determine a first set of similarity scores between the query and a plurality of stored queries stored in a data store, and determine whether a first similarity score of the first set of similarity scores meets a first threshold. In accordance with a determination that the first similarity score meets the first threshold, the processors are further operable to obtain a set of case information for the current case; retrieve case information for at least one precedent case; determine a second set of similarity scores between the current case and the at least one precedent case; determine whether a second similarity score of the second set of similarity scores meets a second threshold; and generate a response to the query.

Abstract: Polylactide resin compositions that exhibit rapid hydrolysis rates and leave small amounts of residuals include a poly(meso-lactide) and a second polylactide. The polylactide resin compositions are useful in applications in which rapid hydrolysis is wanted under mildly to moderately elevated temperatures, such as in certain oil & gas well treatment applications.

Abstract: Embodiments of methods and apparatus for an injector for an abatement system are provided herein. In some embodiments, an injector includes an inlet tube having an inner wall and an outer wall and a gap disposed therebetween, wherein the inner wall defines a flow path therein for a waste gas stream from a waste gas inlet at a first end of the inlet tube to a waste gas outlet at a second end of the inlet tube, wherein the inlet tube includes an inert gas inlet that extends between the inner wall and the outer wall to one or more first gas nozzles and a containment tube coupled to the inlet tube and disposed about the second end of the inlet tube, wherein the containment tube includes a liquid inlet port that is fluidly coupled to one or more first liquid nozzles and one or more second liquid nozzles.

Abstract: The present disclosure relates generally to systems and methods for validating data, such as data related to testing or sampling a batch of a product, with a data compliance tracking system. An exemplary method includes receiving at least one data point from a computing element, wherein the data point corresponds to data collected from a sampling of at least one parameter during a batch run of a product and includes time stamp data; determining limit information corresponding to the at least one parameter, wherein the limit information includes at least one limit associated with at the least one parameter and has an associated valid value range; storing the at least one data point and the limit information; receiving an analytics request from a user device; analyzing the stored limit information to apply a limit to a select data point; and displaying an analytics output.

Abstract: Various embodiments set forth systems and techniques for generating seams for a 3D model. The techniques include generating, based on the 3D model, one or more inputs for one or more trained machine learning models; providing the one or more inputs to the one or more trained machine learning models; receiving, from the one or more trained machine learning models, seam prediction data generated based on the one or more inputs; and placing one or more predicted seams on the 3D model based on the seam prediction data.

Abstract: Provided herein are methods and systems for identifying a related data values in a plurality of datasets. The method can include extracting data from the plurality of datasets, identifying potential linking categories, and determining a validity of the potential linking categories. One or more linking categories can be selected from the potential linking categories based on the validity, and related data values can be identified between the plurality of datasets based on the selected linking categories. Also provided herein are methods and systems for classifying data values as reconciled or non-reconciled. The method can include identifying a plurality of related data values in a plurality of datasets. For each of the plurality of related data values, a similarity score and confidence score can be determined, and the plurality of related data values can be classified as reconciled or non-reconciled based on the similarity score and/or the confidence score.

Abstract: The present technology is generally related to medical training and assessment devices and tools, and in particular, to devices that simulate joint dislocation reductions to be used in medical training scenarios. A joint dislocation simulator is described, The simulator comprises at least two articular elements and at least one connector element. The at least two articular elements simulate different bones that make up a joint. The at least one connector element is configured to connect the at least two articular elements. The connector(s) simulate ligaments, tendons, muscles, cartilage, binding tissues, and/or other elements that connect articular surfaces. Additional or alternative aspects may be described and/or claimed.