Abstract: A system and method includes obtaining an incumbent model and a candidate model, generating a plurality of synthetic model input datasets, computing, for each synthetic model input dataset, a model performance efficacy metric and a model fairness efficacy metric for the incumbent model based on assessing model output data of the incumbent model that corresponds to each respective synthetic model input dataset of the plurality of synthetic model input datasets, computing, for each synthetic model input dataset, a model performance efficacy metric and a model fairness efficacy metric for the candidate model based on assessing model output data of the candidate model that corresponds to each respective synthetic model input dataset of the plurality of synthetic model input datasets, computing, for the candidate model, a disparity-mitigating model viability score, and displaying, via a graphical user interface, a representation of the candidate model in association with the disparity-mitigating model viability sc

Abstract: The disclosed embodiments include sand management systems and systems and methods to operate a sand management system. A sand management system includes a first vessel having a first insert and a second vessel having a second insert. The sand management system also includes a fluid flow path that fluidly connects the first vessel to the second vessel. The sand management system further includes a plurality of actuating valves each configured to dynamically shift from an open position to a closed position and from the closed position to the open position to regulate fluid flow.

Abstract: A method comprising selecting a cement sensitive mode based at least on the configuration of a conduit string, transmitting an acoustic signal into at least part of the conduit string, measuring a return signal from at least part of the conduit string, computing one or more modal resonance frequencies of a resonance mode from the return signal, and forming a modal frequency log of the resonance signal with at least the one or more modal resonance frequencies. In examples, a system comprising a transmitter configured to transmit an acoustic signal into at least part of a conduit string, a receiver configured to measuring a return signal from at least part of the conduit string.

Abstract: Software code development and quality assurance through generative Artificial Intelligence systems and methods that streamline continuous integration and continuous deployment (CI/CD) pipelines without increasing review or development durations.

Abstract: The present invention provides an improved method and system for variational quantum algorithms (VQA). Procedures set out herein include receiving a quantum circuit for implementing the VQA, the quantum circuit being parameterised by a set of quantum circuit parameters. A cost function for the circuit is formulated as a non-convex polynomial optimisation problem. Next moment/Sums of Squares, SOS, relaxations are applied to the non-convex polynomial optimisation problem to generate a hierarchy of semidefinite programming (SDP) relaxations that approximate the non-convex polynomial optimisation problem. These SDP relaxations are then solved using classical optimisation algorithms. The solutions are used to update the quantum circuit parameters, thereby providing an improved VQA circuit. Upon repeated iterations of the procedure, this provably converges toward the optimal VQA circuit for the problem at hand.

Abstract: Methods and systems for generating federated learning models. In some aspects, the system receives, from each client device, user data profiles that are anonymized with respect to users associated with user data stored locally at a client device. The system processes the user data profiles to generate a plurality of clusters. For each cluster, the system transmits, to one or more client devices corresponding to a cluster, a first instruction to train a machine learning model on user data corresponding to user data profiles included in the cluster and a second instruction to validate the machine learning model with respect to user data corresponding to one or more clusters of the plurality of clusters other than the cluster to generate a prediction accuracy metric. The system determines, from the plurality of clusters, a first cluster based on associated prediction accuracy metrics.

Abstract: Systems and methods utilize a data change repository that supplements existing data in a database by storing various data labels for each record. Each data label comprises a first data characteristic comprising a stateless value and a second data characteristic that comprises a modification characteristic of the stateless value. The systems and methods may then use these additional labels to identify and/or validate the underlying data. As the labels are used for the identification and/or validation (as opposed to the underlying data itself), the systems and methods do not affect, and function despite, security protocols, access restrictions, and/or viewing rights.

Abstract: Embodiments of immunogens based on the outer domain of HIV-1 gp120 and methods of their use and production are disclosed. Nucleic acid molecules encoding the immunogens are also provided. In several embodiments, the immunogens can be used to prime an immune response to gp120 in a subject, for example, to treat or prevent an HIV-1 infection in the subject.

Abstract: A topography apparatus may be coupled to an e-vaping device, within an interior defined by a housing of the e-vaping device, such that the topography apparatus may be coupled to an e-vaping device that may generate vapor independently of the topography apparatus. The topography apparatus may generate and communicate vapor topography data associated with vapor generation by the e-vaping device without altering an external appearance or vapor-generation performance of the e-vaping device. The topography apparatus may be detachably coupled to the interior of the e-vaping device. The topography apparatus includes an interface assembly configured to couple with a power supply, control circuitry, and/or sensor of the e-vaping device. Such coupling may include coupling with internal power or communication conduits of the e-vaping device, such that the topography apparatus taps into power and/or communication lines of the e-vaping device without requiring modification of the circuitry of the e-vaping device.

Abstract: A water-based carrier-fluid system comprising a brine formed from water saturated with at least one saturation salt, a viscoelastic surfactant, and one or more salt crystals. The water-based carrier-fluid system is formed by adding the viscoelastic surfactant to the brine to produce a first mixture prior to the one or more salt crystals being added to the mixture. The salt in the salt crystals has a Ksp value equal to or greater than the saturation salt.

Abstract: Systems and methods utilize a data change repository that supplements existing data in a database by storing various data labels for each record. Each data label comprises a first data characteristic comprising a stateless value and a second data characteristic that comprises a modification characteristic of the stateless value. The systems and methods may then use these additional labels to identify and/or validate the underlying data. As the labels are used for the identification and/or validation (as opposed to the underlying data itself), the systems and methods do not affect, and function despite, security protocols, access restrictions, and/or viewing rights.

Abstract: Current approaches for detecting water saturated regions in a rockmass uses geophysical methods, such as electrical resistivity tomography (ERT), self-potential (SP), and seismic imaging to spatially detect and map the rock water content in underground mines. However, all these approaches are contact based. Present disclosure provides a non-contact method and system for inspecting and detecting water saturated regions in a rockmass. The system uses coherent radar generated range-compressed data collected from a plurality of rock specimens for generating a generalized calibration function using a range doppler algorithm and a phase tracking algorithm. The system then uses the generated generalized calibration function for estimating water saturation of a target rockmass along with the use of the RDA and the phase tracking algorithm.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: A rotating drum for use in manufacturing vapor-generating articles may include a drum body. A plurality of grooves may be disposed in an outer face of the drum body. A seat may be tractably-mounted in each one of the plurality of grooves. The seat may include a seat groove that is structured and arranged to receive and hold a rigid casing of a vapor-generating article. The seat may be composed of a material that is softer than a material of the rigid casing.

Abstract: In some embodiments, a queue may be monitored to perform an automated adjustment related to a data item in the queue. In some embodiments, the data item may be associated with a product or service and include a code related to an access to the product or service. Based on the code, configuration information related to the product or service may be obtained. Based on a detected change related to the product or service, an indication of a set of self-support actions may be sent to a user device. One or more self-support actions (performed via the user device) may be determined, and an adjustment related to the access to the product or service may be performed based on the determined self-support actions. In some embodiments, the adjustment may include modifying a configuration of the access to the product or service based on the determined self-support actions.

Abstract: A method and related system operations include determining a predicted category by providing a prediction model with a set of input feature values and generating a plurality of conditionals based on the set of input feature values for a set of features and the predicted category. The method also includes filtering the plurality of conditionals based on a knowledge base to obtain a selected conditional by generating a set of sub-conditional paths by providing, as an input for a prompt generator model, a candidate conditional of the plurality of conditionals to the prompt generator model and selecting the candidate conditional as the selected conditional based on a determination that the set of sub-conditional paths satisfies a set of criteria associated with a set of sequences of the knowledge base. The method further includes storing the selected conditional in a data structure in association with the set of input feature values.

Abstract: A support head mountable on a support post for supporting a beam in a formwork system is provided. The support head includes a top member for contacting and supporting the beam, a base member mountable on top of the support post, and a pin. Each of the top and base members has a tube with opposing pin holes. The tubes are configured to form vertically extending telescopic tubes, with the pin holes aligned along a horizontal axis. The pin is insertable into the pin holes, and has spaced apart depressions thereon. The pin is slidably moveable in the pin holes from a first position to a second position. In the first position, the depressions are offset from the pin holes. In the second position the depressions are aligned with the respective pin holes thus lowering the first tube and the top member in height.

Abstract: Methods and systems are described herein for updating machine learning models using weights. The system inputs, into a machine learning model, a dataset including entries and features to obtain a relative impact of each feature. The system generates, using the relative impacts, a sparsity metric for each entry, each sparsity metric indicating a measure of a number of features used to generate a corresponding prediction. The system retrieves a sparsity threshold for assigning weights to the plurality of entries. The system generates an updated dataset based on assigning, to each entry within the dataset, a corresponding weight. Each corresponding weight is determined based on a relation of the sparsity metric to the sparsity threshold. The system inputs, into the machine learning model, the updated dataset to update the machine learning model based on the corresponding weights, where the machine learning model relies more heavily on entries with higher corresponding weights.

Abstract: Systems and methods for performing entity resolution. In some aspects, the system obtains a plurality of attributes represented in a plurality of records from one or more sources. The system generates a plurality of match vectors based on the plurality of attributes. Each match vector includes a set of attributes that match between a pair of records and a remaining set of attributes that are not required to match between the pair of records. The system processes the plurality of match vectors using an entity resolution model trained to output a binary indicator regarding whether one or more pairs of records for a match vector be merged. The system merges the one or more pairs of records for each match vector of the plurality of match vectors having a corresponding binary indicator output from the entity resolution model that pairs of records for the match vector be merged.

Abstract: The disclosure generally relates to methods and systems for crop damage assessment using semantic reasoning. Conventional techniques using only specific data either individually or in a combination may result in bias and may not accurately estimate the crop damage, due to diversity in each of the natural calamities. The present disclosure solves the technical problems in the art using domain ontologies and a semantic reasoning over the spatio-temporal data for the automatic assessment of the crop damage due to the natural calamities. The present disclosure establishes automated crop loss assessment using trigger-based analysis of plurality of sources like satellite-based earth observations, weather observations, social media posts and news articles, for obtaining a spatio-temporal data. Then the spatio-temporal data is reasoned over the domain knowledge graph, using the semantic reasoning technique, for the crop damage assessment.