Abstract: Techniques and apparatus for providing peer-based management of user accounts are described. In one embodiment, for example, an apparatus may include at least one memory and logic coupled to the at least one memory. The logic may be configured to determine a total entity risk value representing a risk position of an entity comprising at least one segment, generate a plurality of risk tokens, each of the plurality of risk tokens having a token value that is a portion of the total risk value, determine a total segment risk value for the at least one segment, the total segment risk value representing a portion of the total entity risk value allocated to the at least one segment, and distribute the plurality of risk tokens to the at least one segment of the entity to correspond with the total segment risk value. Other embodiments are described.

Abstract: The present disclosure is related to the field of threshold generation where complex temporal and spatial behavior of metrics are modelled to define normal operating baseline of every component in a system environment. Embodiments of the present disclosure provide methods and systems for generation and optimization of metric threshold for anomaly detection. In the present disclosure, temporal properties such as variation, behavioral patterns of a plurality of metrics are derived. The derived temporal properties are used to generate data-driven and domain-aware static or dynamic thresholds. Additionally, the present disclosure factors spatial and temporal properties collectively to mine a role of influencing metrics and define composite thresholds.

Abstract: A system for modeling a roof of a structure comprising a first database, a second database and a processor in communication with the first database and the second database. The processor selects one or more images and the respective metadata thereof from the first database based on a received a geospatial region of interest. The processor generates two-dimensional line segment geometries in pixel space based on two-dimensional outputs generated by a neural network in pixel space of at least one roof structure present in the selected one or more images. The processor classifies the generated two-dimensional line segment geometries into at least one contour graph based on three-dimensional data received from the second database and generates a three-dimensional representation of the at least one roof structure based on the at least one contour graph and the received three-dimensional data.

Abstract: Systems and methods for labeling data for artificial neural network models when data is received as real-time data and batch-processed data are disclosed herein. The system may receive a first data stream. The system may generate a first vector representation of the first real-time processed data. The system may determine the first label for a first training datum. The system may determine whether all data used to generate a final label has been received. The system may assign a first label type to the first label.

Abstract: Recombinant chimeric bovine/human parainfluenza virus 3 (rB/HPIV3) vectors expressing a recombinant Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike (S) protein as well as methods of their use and manufacture, are provided. The rB/HPIV3 vector comprises a genome comprising a heterologous gene encoding the recombinant SARS-COV-2 S protein. Nucleic acid molecules comprising the sequence of the genome or antigenome of the disclosed rB/HPIV3 vectors are also provided. The disclosed rB/HPIV3 vectors can be used, for example, to induce an immune response to SARS-COV-2 and HPIV3 in a subject.

Abstract: Systems and methods for generating real-time resource reduction notifications are described. The system receives, for a user system, a resource consumption and a dataset during a first period of time. The system processes the dataset to determine other user systems similar to the user system. The system generates an expected resource consumption of the user system during the first period of time based on resource consumption during one or more periods of time for the similar user systems. If the resource consumption of the user system exceeds the expected resource consumption, the system determines an action to reduce resource consumption of the user system. The system receives a reduced resource consumption of the user system during a second period of time. The system generates a notification to the similar user systems indicating the executed action and an amount of reduction in resource consumption.

Abstract: Systems and methods are disclosed herein for building contextual transcripts. A computing system may receive a textual transcript of a meeting that contains a variety of statements made by various attendees of the meeting, select the first statement made during the meeting, and determine which meeting attendee made the statement. A machine learning model corresponding to the particular attendee that has been trained using previously received statements by the particular attendee may be used on the utterance to determine the tone of the utterance. That tone may be recorded within the transcript and this process may be repeated for each utterance to build a contextual transcript.

Abstract: Various embodiments are generally directed to techniques to enable use of a transaction card of a user device to perform transactions. Embodiments may include method, techniques, and circuitry to cause a transaction card to extend from a user device to be used to perform the transactions. Further, the transaction card may retract into the housing the user device when not in use.

Abstract: Methods and systems are described for verifying an identity of a user through contextual knowledge-based authentication. The system described uses contextual knowledge-based authentication. By verifying an identity of a user through contextual knowledge-based authentication, the verification is both more secure and more intuitive to the user. For example, by relying on confidential and/or proprietary information, the system may generate verification questions, the answers to which are known only by the user.

Abstract: The present disclosure is directed to techniques to facilitate online commerce by leveraging user activity, specifically search activity for goods/services on an online platform. As described herein, the online platform refers to a turnkey e-commerce solution that enterprises use to manage electronic transactions involving their goods/services. Some techniques are directed to an improved online platform operative to predict a user's intention behind a search query and after a consider number of search queries, to have that search query as a dynamic search filter for the online platform. Other embodiments are described and claimed.

Abstract: Conventional Hamiltonian downfolding methods involve approximating exponential within the double unitary coupled cluster transformation which effects accuracy of the resultant Hamiltonian. Thus, the present disclosure provides a method for downfolding electronic Hamiltonians using a hybrid quantum-classical architecture wherein similarity transformation in such a way that the exponential terminates at linear order. In addition, a many body Bloch equation is defined which embodies every similarity downfolding transformation step. From the Bloch equation, a system of polynomial equations is derived for downfolding one molecular orbital. Quantum Circuits are used to facilitate solving the polynomial equations, which helps in constructing a lower dimensional Hamiltonian with one less molecular orbital at every downfolding step/iteration. The entire process gets repeated for every orbital downfolding, leading to a smaller dimensional effective Hamiltonian.

Abstract: Systems and methods for selecting labels based on dataset similarity for machine learning model training data are disclosed herein. The system may receive a label modification request for a training datum. The system may retrieve label records corresponding to the datum identifier. The system may compare a pre-existing label with the new label. Based on determining that the pre-existing label differs from the new label, the system may generate a first dataset and a second dataset. The system may calculate a first average similarity metric and a second average similarity metric. The system may compare the first average similarity metric with the second average similarity metric. The system may generate a recommendation for a modified label.

Abstract: Systems and methods for generating recommendations for unlabelled data for machine learning model training using natural language processing are disclosed herein. The system may receive first text data for a first unlabelled training datum. The system may retrieve textual datasets from a label record database. The system may determine a first dataset that corresponds to a first label record. The system may determine a first plurality of textual data corresponding to the first dataset. The system may compare the first text data and the first plurality of textual data to determine similarity metrics. Based on the similarity metrics, the system may determine the first label record for the first dataset. The system may generate a first recommendation for a first label for the first text data.

Abstract: Embodiments of immunogens comprising a multimer of NiV G ectodomains and protein nanoparticles comprising an NiV G ectodomain are provided. Also disclosed are nucleic acids encoding the immunogens and methods of their production. Methods for inducing an immune response in a subject by administering a disclosed immunogen to the subject are also provided. In some embodiments, the immune response treats or inhibits NiV infection in a subject.

Abstract: Methods and systems are described herein for verifying authenticity of items using blockchain operations. In particular, an authentication system may be used to perform validation operations. The authentication system may monitor a blockchain (e.g., via a blockchain node) for any blockchain operations to an address of a cryptography-based storage application controlled by the authentication system (e.g., an authentication system maintained by the manufacturer of the item). When the authentication system detects such operation, the authentication system may retrieve an identifier of an item (e.g., a serial number) from the blockchain operation and determine, based on the identifier, whether the item is authentic. The authentication system may then use the source address of the cryptography-based storage application that requested verification and generate another blockchain operation to respond and verify authenticity.

Abstract: In retail industry, retailers need accurate price elasticity (PE) values to offer optimal prices for products to business constraints. Existing approaches provide approximate PE values leading to suboptimal price recommendations. This disclosure relates to method of computing PE values for optimal pricing based on sequential price elasticity computation is provided. Transaction data and attribute data of products are processed to obtain preprocessed data. One or more selected models are determined based on the preprocessed data. Priors at one or more levels are computed and likelihoods are computed based on one or more monetary objectives from historical transaction data of the products. One or more parameters of one or more price elasticity distributions are iteratively determined through one or more component approaches based on the priors and the likelihoods. The PE values are derived based on ensemble techniques applied to one or more parameters of the one or more PE distributions.

Abstract: A method and system for downhole sampling. The system may include a downhole fluid sampling tool that may include one or more probes configured to extend into a formation, and a pump configured to collect a fluid from the formation through the one or more probes. The method may further comprise a flowline configured to transport the fluid from the formation through the one or more probes and through the downhole fluid sampling tool and a fluid analysis module comprising a resonator antenna disposed on the flowline and configured to measure at least one property of the fluid. Additionally, the method may comprise measuring at least one property of the fluid with at least one resonator antennas that are disposed on or within an outer surface of the flowline.

Abstract: A system for managing a financial account in a low cash mode. The system may include a memory storing instructions, and a processor configured to execute the instructions to perform operations. The operations may include providing an interface; providing a notification to a user when a balance in the first account is deemed to be in low cash mode; presenting, when the first account balance is deemed to be in low cash mode, an option for a transfer request; receiving, a selection of the option for the transfer request to connect the first account with a second account; transferring funds from the second account to the first account; notifying the user that funds have been transferred from the second account to the first account; and further notifying the user that the balance in the first account is greater than the threshold value.

Abstract: A fluid sampling tool and method for fluid sampling in an ultra-tight or tight formation. The tool may include a packer assembly that includes one or more inflatable packers and one or more exhaust ports, a multi-chamber section that includes one or more sample chambers, and at least two storage sections that each contain a storage tank, wherein each storage tank holds a stimulation fluid. A method for performing a stimulation operation that includes disposing a fluid sampling tool into a well, moving the fluid sampling tool to a zone of interest, and isolating the zone of interest with a packer assembly on the fluid sampling tool. The method may further include performing a first pressure draw down and a first pressure build up, performing an injectivity test, and performing a sampling process.