Abstract: The method includes first adding at least one first chelator to smokeless tobacco, second adding at least one first antioxidant to the smokeless tobacco, the at least one first antioxidant being different than the at least one first chelator, and third adding at least one first flavorant to the smokeless tobacco, wherein the first adding occurs before the third adding.

Abstract: A nuclear magnetic resonance (NMR) downhole tool and method that may include a housing, a power source, a Radio Frequency (RF) pulse generator tank electrically connected to the power source, a power switch electrically disposed within the RF pulse generator tank and disposed in the housing, and an NMR signal acquisition tank electrically connected to the RF pulse generator tank and disposed in the housing. The method may include disposing the NMR downhole tool into a wellbore, charging a first capacitor with the power source that is electrically connected to the first capacitor, generating a RF pulse, disconnecting the first capacitor from the RF pulse generator tank, and storing energy from the inductive coil in the first capacitor. The method may further include connecting the inductive coil to an NMR signal acquisition tank using a decoupler switch and acquiring an NMR signal with the NMR signal acquisition tank.

Abstract: A method for recovering a distillable, anhydrous methane-sulfonic acid (MSA) liquid phase from an anhydrous 2-phase gas-liquid mixture wherein the anhydrous 2-phase gas-liquid mixture is generated by sulfonating methane (CH4) with sulfur trioxide (SO3) in an MSA-forming reactor, or reactor system, according to a radical chain reaction wherein the method comprises (i) separating the gas phase from the liquid phase, (ii) passing the separated liquid phase into a stripping column, and (iii) recovering the stripped anhydrous liquid phase.

Abstract: Techniques for determining a reservoir characteristic include determining, with an analytical solution, a change to at least one control point of a boundary of a control volume defined in a subterranean formation, the change to the at least one control point caused by a hydraulic fracture formed in or adjacent the subterranean formation; determining, with a numerical solution, a fluid pressure change of the control volume based on the change to the at least one control point; and determining, with a mechanical model based on the analytical solution and the numerical solution, at least one reservoir characteristic based at least in part on the determined fluid pressure change of the control volume.

Abstract: A device may receive a command associated with identifying a merchant for a virtual card swap procedure wherein the virtual card swap procedure is to replace a credit card of a user with a virtual card corresponding to the credit card. The device may identify the merchant for the virtual card swap procedure based on the command. The device may obtain the virtual card for the user. The device may determine a virtual card swap procedure template for the merchant. The device may perform the virtual card swap procedure based on the virtual card swap procedure template.

Abstract: Embodiments are directed to methods, apparatuses, computer readable media and systems for authenticating a user on a user device across multiple mobile applications. The identity of the user is validated by encoding and subsequently validating cryptographically encrypted data in a shared data store accessible by the mobile applications tied to the same entity. Specifically, the application leverages the authentication process of a trusted mobile application (e.g. a banking mobile application) to authenticate the same user on a untrusted mobile application (e.g. a merchant mobile application).

Abstract: The present disclosure provides the identification of promoters that are preferentially active in tobacco axillary buds. Also provided are tobacco plants comprising reduced or no sucker growth. Also provided are methods and compositions for producing tobacco plants comprising reduced or no sucker growth.

Abstract: An in vitro tissue plate may include a well plate, a fluidic plate disposed on a bottom surface of the well plate, and a media manifold disposed on a bottom surface of the fluidic plate. The well plate may have at least two wells, including a tissue well and a waste well. The fluid plate may include a fluid channel extending between and fluidly connecting the tissue well to the waste well. The media manifold may include a one or more media outlets fluidly connected to the fluid channel. A tissue layer may be deposited in the tissue well. The tissue layer may include human cells such as neurovascular cells.

Abstract: A system may include a first vehicle and a first control system that may control one or more vehicle operations of the first vehicle. The first control system may perform operations including receiving a first vehicle operation signal from a second control system associated with a second vehicle, sending one or more requests to one or more computing systems for a confirmation of the first vehicle operation signal, and determining a set of vehicle instructions to control the one or more vehicle operations based on whether one or more responses from the one or more computing systems provide the confirmation. The first control system may then control the first vehicle based on the set of vehicle instructions.

Abstract: A process for making patterned cigarette wrapper includes the steps of: preparing a printing solution including the steps of: mixing at least water and a starch to form a starch mixture, heating the starch mixture to a temperature of at least about 180° F. preferably for at least about 30 minutes to release amylopectin and amylose, adding propylene glycol to the starch mixture, and mixing the starch mixture and propylene glycol to form a printing solution, wherein the solution is maintained and applied at elevated temperature (120° F. to 150° F.). The process also includes providing a base web of wrapper and applying the printing solution to the wrapper in a predetermined pattern.

Abstract: This disclosure relates to systems and methods for performing single input based multifactor authentication. Multifactor authentication refers to an authentication system with enhanced security which utilizes more than one authentication forms to validate identity of a user. Conventionally, the process of multifactor authentication is a serial process which involves inputting of authentication information multiple times. However, with conventional approaches, delay is introduced in execution of the multifactor authentication process. The method of the present disclosure addresses unresolved problems of multifactor authentication by enabling two or more factors to be assessed simultaneously making the authentication process faster without sacrificing the robustness of authentication process. Embodiments of the present disclosure analyzes spoken response of the user to a dynamically generated question for multifactor authentication.

Abstract: Disclosed herein are methods of treating a tumor in a subject, including administering to the subject one or more miRNA nucleic acids or variants (such as mimics or mimetics) thereof with altered expression in the tumor. Also disclosed herein are compositions including one or more miRNA nucleic acids. In some examples, the miRNA nucleic acids are modified miRNAs, for example, and miRNA nucleic acid including one or more modified nucleotides and/or a 5?-end and/or 3?-end modification. In particular examples, the modified miRNA nucleic acid is an miR-30a nucleic acid. Further disclosed herein are methods of diagnosing a subject as having a tumor with altered expression of one or more miRNA nucleic acids. In some embodiments, the methods include detecting expression of one or more miRNAs in a sample from the subject and comparing the expression in the sample from the subject to a control.

Abstract: A central cloud computing account may aggregate events (e.g., configuration change events, policy change events, computing resource-based events, AWS resource policy modification events, etc.) from a plurality of non-centralized (e.g., distributed across various geographic regions, etc.) cloud computing accounts. The central cloud computing account may implement standardized and/or common formatting for configuration information (e.g., computing resource policy information, AWS resource policy information, etc.) indicated by each of the aggregated events. The standardized and/or common formatting may facilitate versioning to indicate changes to the configuration information for each of the non-centralized cloud computing accounts.

Abstract: A method for analyzing a transaction in a payment processing system includes receiving a transaction, classifying the transaction, analyzing the transaction, selecting a treatment to be applied to the transaction, applying the selected treatment to the transaction, and outputting the transaction after the selected treatment was applied to the transaction. Classifying the transaction includes computing a probability score vector for the transaction that indicates a probability for each of one or more possible outcomes of the transaction. Analyzing the transaction includes computing one or more probability mass vectors for the transaction that indicate impact values and associated probabilities of one or more possible treatments to be applied to the transaction. Selecting the treatment to be applied includes applying a set of decision rules to the probability score vector and the one or more probability mass vectors.

Abstract: Disclosed herein are system, method, and computer program product embodiments for machine learning systems to process interactive communications between at least two participants. Speech and text, within the interactive communications, are analyzed using machine learning classifiers to extract prosodic, semantic and key phrase cues located within the interactive communications to identify changes to emotion, sentiments and key phrases. A summary of the interactive communications between a first participant and a second participant is generated at least, in-part, based on the extracted prosodic, semantic and key phrase cues and the summary is highlighted based on any of the changes to emotion, the sentiments or the key phrases.

Abstract: A method, system, and computer readable storage to implement a data marketplace which stored data assets, such as tables, models, variables, etc. All of the data assets (assets) can be searched and retrieved from the data marketplace notwithstanding that the assets can be stored at different locations, in different forms, and in different platforms through an entire big data system. The data marketplace also predicts and suggests assets which will be likely to be relevant to a user's current project.

Abstract: In certain embodiments, a software pipeline (“pipeline”) is configured by the use of gates for progressing an application from one stage to another (e.g., from a development stage to a production stage). A configuration file having a set of attribute values that is descriptive of an application, and a gate mapping file having information associated with the gates to be invoked for different combinations of attribute values are obtained. The configuration file is processed using the gate mapping file to determine a set of gates to be invoked for progressing the application in the pipeline based on the attribute values of the application. The set of gates are invoked to cause a corresponding set of software routines to be executed for progressing the application.

Abstract: Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

Abstract: An aerosol-generating system may include a capsule and a releasably connectable vaporizer or vaporizing unit. The capsule comprises a distal end and defines a reservoir configured to contain an aerosol-generating substrate. The vaporizing unit comprises a housing and a heating element and a transfer element disposed in the housing. The heating element is configured to heat the transfer element to vaporize the aerosol-generating substrate. The housing of the vaporizing unit has a proximal end. A portion of the transfer element extends beyond the proximal end of the housing. The vaporizing unit is configured such that the transfer element is the initial part of the vaporizing unit to penetrate into the reservoir of the capsule as the distal end of the capsule is moved towards the proximal end of the vaporizing unit.

Abstract: This disclosure relates generally relates to method and system to process asynchronous and distributed training tasks. Training a large-scale deep neural network (DNN) model with large-scale training data is time-consuming. The method creates a work queue (Q) with a set of predefined number of tasks comprising a training data. Here, set of central processing units (CPUs) information and a set of graphics processing units (GPUs) information are fetched from the current environment to initiate a parallel process asynchronously on the work queue (Q) to train a set of deep learning models with optimized resources using a data pre-processing technique, to compute a transformed training data and training by using an asynchronous model training technique, the set of deep learning models on each GPU asynchronously with the transformed training data based on a set of asynchronous model parameters.