Abstract: Methods, techniques, and embodiments are generally directed to systems for receiving a request from an authenticated computing application to associate a contactless card with an account. The systems then authenticate that the request came from an account holder. After establishing the authenticity of the account holder, the systems determine a unique identifier for the account holder associated with the account. Finally, the systems send a second request to the authenticated computing application to write this unique identifier onto the contactless card.

Abstract: Traditional deep learning techniques are performed by high-performance system with direct access to the data to train large models. An approach of training the model from a collaboration of similar stakeholders where they pool together their data in a central server. However, data privacy is lost by exposing said models and data security while accessing heterogeneous data. Embodiments of the present disclosure provide a method and system for a cross-silo serverless collaborative learning among a plurality of clients in a malicious client threat-model based on a decentralized Epsilon cluster selection. Protocols are initialized and considered to iteratively train local models associated with each client and aggregate the local models as private input based on the multi-party computation to obtain global model. Non-linear transformation of a silhouette score to an Epsilon probability without implementing a server to select rth model from an active set to assign as the global model.

Abstract: The present disclosure provides tobacco having genetic modification(s) in a group of ERF genes. Also provided are tobacco plants with altered total alkaloid and nicotine levels and commercially acceptable leaf grade, their development via breeding or transgenic approaches, and production of tobacco products from these tobacco plants. Further provided are compositions and methods for producing tobacco plants having novel mutations or alleles to reduce nicotine levels. Further provided are sequence polymorphisms and molecular markers for breeding tobacco with reduced nicotine or alkaloids while maintaining tobacco leaf grade and tobacco product quality.

Abstract: Traditional adjudication process is expensive, time consuming and requires experts for reviewing events and endpoints. Thus, embodiments of present disclosure provide a method and system for automated clinical event adjudication. Input data required for clinical event adjudication including patient clinical information and clinical trial master documents are obtained. Then, adjudication rules are generated from the clinical trial master documents based on which adjudicable clinical events and endpoints are identified from the patient clinical information. Further, processing models are configured and executed to get a first result of clinical event adjudication. A second result of clinical event adjudication is obtained by processing the adjudicable events and endpoints using a pre-trained real world evidence inference model.

Abstract: A method for generating a compliance report that includes receiving, by a report generator, a technical plan and a compliance constraint, processing the technical plan and the compliance constraint, generating the compliance report based on the processing, and providing the compliance report to a user.

Abstract: The present disclosure provides metabolic signatures and genetic markers for tracking enhanced nitrogen utilization efficiency phenotypes in tobacco plants and for introgressing enhanced nitrogen utilization efficiency phenotypes into tobacco plants. The disclosure also provides tobacco plants comprising enhanced nitrogen utilization efficiency and methods to the creation of tobacco plants comprising enhanced nitrogen utilization efficiency. The disclosure also provides recombinant polynucleotides and polypeptides for enhancing nitrogen utilization efficiency in modified tobacco plants and tobacco plants comprising the provided recombinant polynucleotides and polypeptides.

Abstract: Disclosed herein are new aromatic compounds, compositions that include one or more aromatic compounds, and methods of synthesizing the same. Also disclosed herein are methods of enhancing readthrough of genes containing premature termination codons with one or more compounds or compositions described herein.

Abstract: There is provided a computer-implemented method of interfacing one or more synchronous batch-driven applications running on a local server with one or more asynchronous event-driven applications running on a cloud computing environment. The method comprises first transformation steps and second transformation steps. The first transformation steps comprise receiving an event-driven message from a first asynchronous event-driven application, the event-driven message having a first data format type; transforming the event-driven message into a second data format type for a first synchronous batch-driven application; and transmitting the transformed event-driven message to the first synchronous batch-driven application.

Abstract: Conventionally industries delt with diverse categories of products/items recommendation. This gave rise to a display taxonomy for the products. The art of matching products/items with certainty is critical to infer price gaps, which can significantly alter a competitive landscape. Manually comparing product features is time-consuming and error-prone, leading to inaccurate results. Present disclosure provides systems and methods that receive items pertaining to various entities (retail and competitor's) which are pre-processed to obtain pre-processed dataset. Taxonomy codes are tagged to a subset of items amongst pre-processed dataset to obtain code tagged items having attributes. The attributes are converted to feature vectors, and models are built using code tagged items and feature vectors. Using the models, a third set of items is obtained, and features are extracted accordingly.

Abstract: A method and system for creating a pulsing scheme. The method may include selecting a pulsing scheme for downhole measurements using a pulsed neutron logging tool and selecting a neutron burst width for the pulsing scheme based at least in part on a neutron tube utilized by the pulsed neutron logging tool during the downhole measurements. The method may further include selecting a carbon-oxygen ratio (CO) neutron burst train for the pulsing scheme to be utilized by the neutron tube, selecting a Sigma decay time for the pulsing scheme, and performing one or more measurements with the pulsed neutron logging tool using the pulsing scheme. The system may include a pulsed neutron logging tool. The pulsed neutron logging tool may include a neutron tube disposed in a pulsed neutron generator, one or more gamma ray scintillator detectors, and one or more thermal neutron detectors.

Abstract: A method and systems for taking downhole measurements. The method may include selecting a pulsing scheme for taking one or more measurements using a pulsed neutron logging tool, selecting a neutron burst width for the pulsing scheme based at least in part on a neutron tube utilized by the pulsed neutron logging tool to form at least in part a neutron burst train, and selecting a decay window in which the one or more measurements are performed by the pulsed neutron logging tool. The method may further include selecting a starting time for a late gate in which the one or measurements are taken, disposing the pulsed neutron logging tool into a borehole, performing the neutron burst train with the pulsed neutron logging tool, and performing the one or more measurements with the pulsed neutron logging tool during the late gate.

Abstract: A grid-connected electric vehicle charging station system and method. Installing electric vehicle charging stations are typically high in cost, particularly due to requiring the utility grid to be upgraded to increase the electrical power routed to a respective customer site. In contrast, the system and method disclosed are low-footprint behind-the-meter solution that does not require any upgrade to the utility grid and that use the existing power capacity at a customer site. More particularly, the system and method rely on renewable energy sources, such as photovoltaics and batteries, as the primary source of energy to power the electric vehicles and rely on the utility grid connection for backup (limited to the existing electrical power routed to the respective customer site). In this way, the grid-connected electric vehicle charging station system and method may enable powering of electric vehicles while still allowing for easy installations at a customer site.

Abstract: A data management method may include receiving a use case, and receiving a configuration specific to the use case associated with an item type having a plurality of attributes. The configuration may define a target data store, a subset of the plurality of attributes associated with the use case, and a subset of optimal data sources from a plurality of available data sources each configured to provide one or more attributes within the subset of the plurality of attributes. The data management method may further include, based on the configuration, accessing, from the subset of optimal data sources, values corresponding to the subset of the plurality of attributes, and storing the values in the target data store.

Abstract: Systems and methods for generating synthetic data are disclosed. A system may include one or more memory devices storing instructions and one or more processors configured to execute the instructions. The instructions may instruct the system to categorize consumer data based on a set of characteristics. The instructions may also instruct the system to receive a first request to generate a first synthetic dataset. The first request may specify a first requirement for at least one of the characteristics. The instructions may further instruct the system to retrieve, from the consumer data, a first subset of the consumer data satisfying the first requirement. The instructions may also instruct the system to provide the first subset of consumer data as input to a data model to generate the first synthetic dataset, and to provide the first synthetic dataset as training data to a machine-learning system.

Abstract: Various well-perforating systems and methods are disclosed incorporating a self-shunting detonator. The detonator may include an electrically-conductive detonator body. A resistor initiator inside the detonator body includes first and second leads. A grounding element inside the detonator body couples the detonator body to the first lead. An electrically-conductive clip coupled to the second lead includes an arm biased to electrical contact with an external surface of the detonator body to shunt the detonator. The arm is moveable away from the detonator body to un-shunt the detonator, such as automatically in response to insertion into a detonator housing.

Abstract: The embodiments of present disclosure herein address unresolved problem of how to make optimized decisions jointly on ancillary bundles recommendation and optimal ancillary bundle pricing using data in order to increase the traffic and maximize revenues remains challenging. Embodiments herein provide a method and system for generating ancillary bundled offers by jointly optimizing the customer bundle preferences of ancillary product bundles and revenue maximizing bundle prices for segmented customers using customers' historical ancillary purchase data. The historical ancillary purchase data can include historical bundles purchase data, or historical items purchase data depending upon the service provider, whether they offer bundles or items only. The overall flow of the disclosure for recommending top-k ancillary bundle offers for segmented customers by jointly optimizing the ancillary bundle products/services and bundle pricing for existing and new customers is provided.

Abstract: A computer-implemented method is provided. The computer-implemented method can include receiving one or more input NMR measurements at a first neural network; transforming the one or more input NMR measurements to a predicted pore throat size distribution or one or more predicted pore throat size parameters; receiving the predicted pore throat size distribution or the one or more predicted pore throat size parameters at a second neural network; transforming the predicted pore throat size distribution or the one or more predicted pore throat size parameters to a predicted NMR T2 distribution or one or more predicted NMR T2 parameters; and applying one or more physics based equations to the predicted NMR T2 distribution or the one or more predicted NMR T2 parameters to forward model the predicted NMR T2 distribution or the one or more predicted NMR T2 parameters to one or more simulated NMR measurements.

Abstract: Computer vision systems and methods for automatic parcel alignment are provided. The system receives a geotagged aerial image, parcel information, and semantic information where each of the parcel and semantic information are overlaid on the geotagged aerial image. The system cleans the parcel information and the semantic information. The system optimizes the parcel information by grouping geo-registered parcels present in the geotagged aerial image into a plurality of islands and generating a plurality of parcel alignment solutions for each island of the plurality of islands. The system refines the plurality of parcel alignment solutions for each island and regularizes each island. The system generates a composite parcel alignment solution based on the refined plurality of parcel alignment solutions for each regularized island to align the geo-registered parcels of each regularized island with the geotagged aerial image.

Abstract: At least some embodiments are directed to a system that receives a profile values associated from new user profiles of a computer network or system. A machine learning system determines a set of existing profiles that share at least one common profile value with the new user profile. A second machine learning model determines a set of existing user entitlements associated with the set of existing profiles. The new user profile is processed by a natural language processing engine to determine a set of new user entitlements from the set of existing user entitlements. The system provides the new user with access to electronic resources of the computer network. The system tracks the new user computer network or system activities and updates the new user profile based on the set of new user entitlements and the new user activity on the computer network or system.

Abstract: This disclosure relates generally to identification of charging station location based on data driven optimization. Despite the rapid growth seen in adoption of EVs, several challenges have remained, with the major concern of choosing the location of the charging infrastructure is crucial. The state-of-art techniques to identify the location of charging infrastructure/station is based on pure optimization techniques using static number of charging stations, which may not effectively output the global optimal solution for the city as it is not performed at real-time. The disclosed technique is a flow-based solution approach that is based on daily traffic count data. The disclosed technique analyses traffic condition from vehicle count data, geography of the city or area of interest, road networks, charging station operation constraints to identify a set of candidate locations required to cover entire city or area of the interest based on a score-based ranking of each candidate location.