Abstract: Methods and systems for manual-based image review can involve associating an image with a group of keyword utterances, the image displayable in a display screen of a computing device, the group of keyword utterances including different keyword utterances. A prompt for the user to utter a keyword utterance can be displayed in a first area of the image in the display screen and another prompt for the user to utter another keyword utterance can be displayed in another area of the image in the display screen. Audio of the keyword utterances displayed in the display screen can be captured and processed by natural language processing (NLP), when uttered by the user. The utterances can be displayed respectively as text in the first area and the other area of the image in response to processing by NLP of the audio. Thus, instead of users typing in the results and changing their focus between screen and keyboard, for example, the user can speak to the results, which increases the throughput of the results.

Abstract: Automated systems and methods are provided for processing speech, comprising obtaining a trained machine learning model that has been trained using a cumulative historical data structure corresponding to at least one digitally-encoded speech representation for a plurality of telecommunications interactions conducted by a plurality of agent-side participants, which includes a first data corresponding to a score variable and a second data corresponding to a plurality of driver variables; applying the trained machine learning model: to a subset of data in the cumulative historical data structure that corresponds to a first agent-side participant of the plurality of agent-side participants, to generate a performance classification score and/or a performance direction classification score, to identify an intervention-target agent-side participant from among the plurality of agent-side participants, and to the cumulative historical data structure to identify an intervention training plan; and conducting at least on

Abstract: A concentration of at least one chemical reaction product in a drilling fluid is determined after the drilling fluid has interacted with a plasma discharge produced via one or more electrodes of a drill bit of a pulse power drill string disposed in a wellbore for drilling the borehole. The concentration of the at least one chemical reaction product is correlated to a relation between an arc and a spark of the plasma discharge. The relation between the arc and spark can subsequently be evaluated to determine updates to pulse power drilling parameters and/or to perform formation and drilling fluid evaluation.

Abstract: The e-vaping method includes providing a reservoir within a housing, the reservoir being configured to contain a pre-vapor formulation, first configuring ejectors to eject droplets of the pre-vapor formulation towards a vaporizing heater, the ejectors being in fluid communication with the reservoir, and second configuring a vaporizing heater to vaporize at least some of the droplets.

Abstract: Provided are methods and systems for manufacturing and using heat-shrink elastomeric. An example method of manufacturing a heat-shrink elastomeric element comprises providing a thermoplastic elastomeric element having a first shape; modifying the thermoplastic elastomeric element to produce a thermoset elastomeric element having the first shape; heating the thermoset elastomeric element to a temperature of at least the glass transition temperature of the thermoset elastomeric element; adjusting the first shape of the thermoset elastomeric element to produce a second shape with at least one dimension greater than that of the first shape; and cooling the thermoset elastomeric element to a temperature below that of the glass transition temperature of the thermoset elastomeric element to produce the heat-shrink elastomeric element.

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: Methods and systems are described herein for improving anomaly detection in timeseries datasets. Different machine learning models may be trained to process specific types of timeseries data efficiently and accurately. Thus, selecting a proper machine learning model for identifying anomalies in a specific set of timeseries data may greatly improve accuracy and efficiency of anomaly detection. Another way to improve anomaly detection is to process a multitude of timeseries datasets for a time period (e.g., 90 days) to detect anomalies from those timeseries datasets and then correlate those detected anomalies by generating an anomaly timeseries dataset and identifying anomalies within the anomaly timeseries dataset. Yet another way to improve anomaly detection is to divide a dataset into multiple datasets based on a type of anomaly detection requested.

Abstract: A selective scraper tool configured to clean an inner surface of a downhole tubular comprising a scraper actuator configured to generate an activation force to deploy one or more scraper blades from corresponding windows on a blade assembly to contact the inner surface of the downhole tubular. A control device located between the scraper actuator and the blade assembly comprises a lug located within a control pattern with a first position and a second position. The first position configures the blade assembly in a retracted position. The second position deploys the scraper blades from the blade assembly. A pumping operation can direct the lug within the control pattern to travel from the first position to the second position.

Abstract: Disclosed herein is a clear cell renal cell carcinoma (ccRCC) biomarker set. Also disclosed herein is a detection system using the biomarker set disclosed herein, methods of determining whether a subject has or shows recurrence of clear cell renal cell carcinoma, method of determining whether a renal mass sample is benign or malignant, method of detecting response of a subject to systemic treatment, and a kit for carrying out the same.

Abstract: An optically pumped atomic beam apparatus based on curved four conductors includes a vacuum chamber; and a magnetic shielding chamber, a beam source device, a curved four-conductor static magnetic field generation structure, a microwave cavity, and a fluorescence collection device are disposed in the vacuum chamber. The curved four-conductor static magnetic field generation structure is composed of the curved four conductors with same shapes and sizes, and the curved four conductors are symmetrically arranged by taking an atomic beam as a center axis; a middle portion of each of the curved four conductors is a straight section, and two end portions of each of the curved four conductors are two curved sections bent towards the atomic beam; and a rectangle is formed by intersecting any plane perpendicular to the atomic beam with the curved four conductors, and a length-width ratio of each rectangle is the same.

Abstract: Methods and systems are presented for generating real-time dynamic conversational responses during conversational interactions using machine learning models based on historic intents for a plurality of users and user-specific interactions. The machine learning models comprise a neural network trained to select a first intent from a plurality of intents based on historic data accumulated prior to the conversational interaction and a neural network trained to select a first interaction-specific intent from a plurality of interaction-specific intents based on interaction-specific data for a user.

Abstract: Disclosed aspects and embodiments pertain to customer distress assistance. A call can be detected to a callee from a caller. The call can be analyzed and determined to be a fraud or spam risk. In response, callee monitoring is triggered. The monitoring can capture biometrics or speech of the callee. Distress in the callee can be determined through analysis of the biometrics or speech and comparison to reference biometrics or speech of the callee. An individual associated with the callee can be selected based on determining the distress in the customer. The individual can be contacted through a notification or a call to assist the callee in distress.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating an inferred document representation for a multi-section document using a machine learning model.

Abstract: A syringe nest is provided that includes a planar base and a plurality of nesting units extending from and interconnected by the base. Each nesting unit includes a hollow hexagonal body having a first open end and an opposing second open end.

Abstract: A system, process, and computer-readable medium for securely transferring user personal identification information (PII) across platforms, based on specific permissions, are described. One or more aspects provide greater control, to a user, of when that user's PII may be released from a secure storage in a first platform and securely provided to a second platform. The timing of those releases of the PII may be controlled by specific authorizations from the user via one or more processes. Also, in addition to improving the security associated with the PII transferred between platforms, one or more aspects improve users' experiences by permitting controlled reuse of users' PII to simplify how users provide their PII to separate processes being performed on separate platforms.

Abstract: Systems and methods for predicting illegitimate activity based on detecting user marker levels include determining a presence of a user sample at a user services system, the user services system including one or more marker sensors, collecting, via the one or more marker sensors, sensor device data, the sensor device data including user marker levels from the user sample, analyzing, via one or more processors, the user marker levels compared to a marker range, and upon determining the user marker levels exceed the marker range, generating an illegitimate activity alert.

Abstract: A system and method for updating network policies may include determining, from a set of hosts, a subset of hosts to have network policies updated; for each host in the subset of hosts, determining a set of policies relevant to the host, and determining a difference between the set of policies relevant to the host and a set of policies relevant to the host determined at an earlier time; and for each of the subset of hosts, installing the set of policies relevant to the host. The difference may be calculated or determined by comparing a file containing the set of policies relevant to the host, and a file containing the set of policies relevant to the host determined at an earlier time, e.g. determined the prior calendar day.

Abstract: Embodiments of the invention are directed to access transactions. A gate access device may interact with a payment card such as a credit card. The gate access device may generate and transmit a first authorization request message to a payment processing network computer. The first authorization request message does not include an amount for the transaction, but only contains identification information. A first authorization response message is transmitted back to the gate access device. At a later point in time, a second authorization request message containing the transaction amount is transmitted from the gate access device to the issuer, and a response is received from the issuer.

Abstract: Systems and methods for a dual-pathway model that includes a deterministic word graph that operates in parallel with a semantic autocomplete model. The system generates outputs first using the deterministic word graph, and the system then uses the output of the deterministic word graph to determine whether to invoke the functionality of the semantic autocomplete model. By doing so, the semantic autocomplete model is used only sparingly, thus reducing aggregate latency in the system, but still allowing for increased scalability and customizability in the overall system as the deterministic word graph and the semantic autocomplete model may be updated and trained in parallel in the dual-pathway model.

Abstract: With the growing use of large-scale datasets containing participant's genomics and clinical data for research and studies purposes, it is important to ensure the privacy of the participant by generating a secure representation of genome data observation. Embodiments herein provide a system and method to perform DNA analysis on an encrypted genome without the need for decryption and ensure user's genome privacy. Herein, a stream of input genome is divided into chunks called as the sketched, where each k-mer in the sketch is hashed to get a sampling level and a counter value for the k-mer in a sketch. A privacy enhancing technique is designed over the representations using a Fully Homomorphic Encryption (FHE). Genomic data is analyzed with identified efficient algorithms for real world deployment in encrypted domain.