Abstract: Systems and methods for modular generators for synthetic data generation are disclosed. The disclosed systems and methods may include a system for generating synthetic data that may comprise at least one processor configured to execute instructions to perform operations. The operations may include receiving a request for synthetic data, selecting a syntax generator, generating, using the syntax generator, a token set comprising a first token and a second token, and identifying a first token type corresponding to the first token and a second token type corresponding to the second token. Operations may further include selecting first and second content generators; generating, using the first content generator, first content data, generating, using the second generator, second content data and generating a synthetic data set by replacing, in the token set, the first token with the first content data and the second token with the second content data.

Abstract: This disclosure relates generally to system and method for molecular property prediction. The disclosed method includes mapping node embeddings of a molecular graph to a graph-level embedding characterizing the molecular graph. The graph level representation is acquired by pooling characteristics of hidden states of the nodes in the molecular graph by performing an iterative content based attention in a plurality of iterations. The content based attention is performed by considering an edge information fused transformed hidden state vector of the nodes of the molecular graph. The graph level embedding is fed through the linear projection to predict the molecular properties of the molecular graphs.

Abstract: A computer-implemented method for providing a vehicle recommendation to a user may include: obtaining one or more vehicle images via a device associated with the user; identifying one or more user-selected images of the one or more vehicle images based on user interaction with the one or more vehicle images performed by the user via a user interface; identifying one or more first-level attributes from the one or more user-selected images; obtaining one or more vehicle identifications from the one or more user-selected images; determining one or more second-level attributes based on the one or more vehicle identifications; determining a value of each of the one or more first-level attributes and the one or more second-level attributes; determining the vehicle recommendation based on the value; and transmitting, to the device associated with the user, a notification indicating the vehicle recommendation.

Abstract: Disclosed are a system, apparatus and techniques for evaluating a dataset to confirm that the data in the dataset satisfies a data quality metric. A machine learning engine or the like may evaluate text strings within the dataset may be of arbitrary length and encoded according to an encoding standard. Data vectors of a preset length may be generated from the evaluated text strings using various techniques. Each data vector may be representative of the content of the text string and a category may be assigned to the respective data vector. The category assigned to each data vectors may be evaluated with respect to other data vectors in the dataset to determine compliance with a quality metric. In the case that a number of data vectors fail to meet a predetermined quality metric, an alert may be generated to mitigate any system errors that may result from unsatisfactory data quality.

Abstract: An electronic smoking article, a method of manufacturing an electronic smoking article, and a method of achieving a smoking experience without combusting tobacco are disclosed. The electronic smoking article includes an authenticated first section, which includes an aerosol generation unit having at least one heater; an authenticated second section, which includes a power supply operable to apply voltage to the at least one heater for heating a liquid in at least a portion of the aerosol generation unit to form an aerosol; and a conductive ink circuit embedded within the first and second sections, and wherein the power supply and the aerosol generation unit are electrically connected upon joining the first and second sections, and wherein each of the first and second sections has a portion of the conductive ink circuit.

Abstract: Disclosed is a compound of formula (I) in which R1, R2, R3, X1, X2, X2?, X3, X4, ring A, m, n, and o are as described herein. The compound of formula (I) is useful for treating a disorder associated with androgen receptor malfunction, such as a hyperproliferative disorder, in a subject in need thereof.

Abstract: A method includes receiving, from a first remote device, an initial first plurality of status metrics corresponding to a first domain, each of the initial plurality of status metrics indicating whether a corresponding parameter of the first domain requires remediation. The method includes comparing the initial plurality of status metrics to a reference database, the reference database listing previously encountered problems with known remediation solutions. The method includes receiving from the first remote device, an updated plurality of status metrics corresponding the first domain, each of the updated plurality of status metrics indicating whether a corresponding parameter of the first domain requires remediation. The method includes applying an algorithm to the updated plurality of status metrics to generate a maturity score of the first domain. The method includes combining the maturity score of the first domain and a maturity score of a second domain to generate a maturity report.

Abstract: This disclosure relates generally to method and system to monitor and control continuous ultrafiltration (UF) process units. In real time, continuous operation of UF to handle variating concentration in feed stream is tedious and complex. The UF plant system receives a plurality of input data configured to UF process units and from the real time data outliers are removed and missing values are imputed. The prediction module predicts a volumetric concentration factor (VCF) value and a throughput value by selecting a model from a model repository. The optimization module optimizes the VCF value, and the throughput value based on a plurality of optimal variables recommended for a given feed concentration. The UF plant system controls the VCF value and the throughput value for a predefined period of a prediction horizon based on a plurality of trajectory profiles recommended for the feed flow rate, the pressure data, and a feed concentration.

Abstract: A downhole tractor assembly operable in a wellbore that includes a tractor body and a tractor wheel assembly. The tractor wheel assembly includes a tractor wheel with teeth around a circumference of the wheel and grooves between adjacent teeth. The grooves include a profile in a plane parallel with the axis of the wheel. Also, each tooth includes an outer face with face grooves on each side of the outer face that extend less than across the wheel.

Abstract: A drilling system, assembly, and method may help optimize drilling in a system that involves more than one rotary tool that engages the formation. A rotary tool may be a rotary cutting tool, such as a drill bit or reamer, or some other rotary tool (e.g. stabilizer or rotary steerable tool) that has the potential to drag on the wall of the hole being drilled and take energy away from cutting. In an example, a wellbore or portion thereof is formed by rotating a first rotary cutting tool having a first cutting structure in engagement with one portion of the formation together with a second rotary cutting tool having a second cutting structure in engagement with another portion of the formation. Forces are obtained above and below the second cutting structure. One or more drilling parameter or drill bit design parameter are adjusted in relation to a force differential between the forces above and below the second cutting structure.

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating non-fungible tokens (NFTs) representing digital assets. In various embodiments, a server generates a first NFT comprising one or more hash values. Each hash value of the one or more hash values corresponds with at least one cryptographically verifiable asset of one or more cryptographically verifiable assets. The server further receives a first request to obtain a first portion of the first NFT for a user and determines a first value of the first NFT based on a crypto-value of each of the one or more cryptographically verifiable assets. The server generates a second NFT comprising a first NFT hash value, wherein a second value of the second NFT matches the first portion of the first value and issues the second NFT to the user.

Abstract: An article carrier includes a stack that includes layers of a cellulosic material and article-retention structures formed by the layers of the stack. Each one of the article-retention structures is configured to receive and to retain an article.

Abstract: A dual-factor PIN based authentication system and method uses a cryptogram provided by a contactless card associated with the client in association with a PIN stored by the contactless card to authenticate the client. In some embodiments, cryptogram authentication may be preconditioned upon a PIN match determination by the contactless card. In other embodiments, the cryptogram may be formed at least in part using the personal identification number (PIN) stored on the contactless card encoded using a dynamic key stored by the contactless card and uniquely associated with the client. Authentication may be achieved by comparing the cryptogram formed using the PIN against an expected cryptogram generated an expected PIN and an expected dynamic key.

Abstract: A method includes obtaining sensor measurements of vehicles to generate vehicle records associated with the vehicles and obtaining a set of vehicle utilization parameters comprising a transportation weight parameter and a navigation path. The method also includes, for each available vehicle of the vehicles, determining vehicle degradation values for the available vehicle based on the set of vehicle utilization parameters, the vehicle record associated with a vehicle category of the available vehicle, and the odometer measurement of the available vehicle. The method also includes selecting a first vehicle over one or more other vehicles of the vehicles based on the vehicle degradation value for the first vehicle and, in response to the selection of the first vehicle, wirelessly providing a destination of the navigation path to an application of the first vehicle.

Abstract: Aspects of the subject disclosure may include, for example, establishing a first connection with a first network via a first link, establishing a second connection with a second network via a second link subsequent to the establishing of the first connection, obtaining a first threshold value associated with a quality of the second link, measuring a value for a parameter associated with the second link, resulting in a measured value, comparing the measured value to the first threshold value, determining, based on the comparing, that the measured value is less than the first threshold value, and transmitting, based on the determining, a message that signifies that the measured value is less than the first threshold value. Other embodiments are disclosed.

Abstract: Machine learning systems and methods for price list determination from free-form text data are provided. The system obtains a text description of an item, such as an item that is the subject of an insurance loss claim and processes the text description using a first machine learning model to identify an item being described by the text description. The system then processes the text description using a second machine learning model to identify one or more candidate matching items from a database. The system then automatically populates one or more user interface screens of a claims processing software application using the output of the first machine learning model and the output of the second machine learning model.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

Abstract: Disclosed are methods of preparing an isolated population of human papillomavirus (HPV)-specific T cells comprise dividing an HPV-positive tumor sample into multiple fragments; separately culturing the multiple fragments; obtaining T cells from the cultured multiple fragments; testing the T cells for specific autologous HPV-positive tumor recognition; selecting the T cells that exhibit specific autologous HPV-positive tumor recognition; and expanding the number of selected T cells to produce a population of HPV-specific T cells for adoptive cell therapy. Related methods of treating or preventing cancer using the T cells are also disclosed.

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: Provided are methods of preparing an enriched population of T cells having antigenic specificity for a target antigen. The method may comprise isolating T cells from a tumor sample of a patient; selecting the isolated T cells which have a gene expression profile; and separating the selected T cells from the unselected cells. The separated selected T cells provide an enriched population of T cells having antigenic specificity for the target antigen. Methods of isolating a T cell receptor (TCR), preparing a population of cells that express a TCR, isolated TCRs, isolated populations of cells, pharmaceutical compositions, and methods of treating or preventing a condition in a mammal are also provided.