Abstract: Described herein are crystalline forms of 4-[(3S)-3-aminopyrrolidin-1-yl]-6-cyano-5-(3,5-difluorophenyl)-N-[(2S)-1,1,1-trifluoropropan-2-yl]pyridine-3-carboxamide, uses of such crystalline forms in the preparation of pharmaceutical compositions for the treatment of diseases or conditions that would benefit by administration with a somatostatin modulator compound.

Abstract: A distributed resource model is described that maintains traits of resources in a distributed computing system. The traits include properties, commands, and events that, along with protocols operating in the distributed computing system, provide real-time access to the traits of resources in the distributed computing system, as well as real-time command of controls for the resources. Controllers manage and publish the traits of resources and provide various types of functionality, such as arbitration, complexity management, fan-out of capabilities, coordination, adaptation, and resource proxying.

Abstract: In general, embodiments of the technology relate to a method and system for implementing a dynamic content type (DCT) in a content management system. More specifically, embodiments of the technology relate to using a DCT in order to change and/or extend the functionality of the content management system.

Abstract: A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.

Abstract: Methods of making cholic acid derivatives, particularly ursodeoxycholic acid, tauroursodeoxycholic acid, 7-ketolithocholic acid, obeticholic acid, their carboxylate salts and carboxylate esters, and starting materials and intermediates therefor.

Abstract: Case management systems and techniques are disclosed. In various embodiments, a hierarchical permission model is received, comprising for each of at least a subset of case nodes comprising a hierarchical data model associated with a case model a corresponding set of case roles to be afforded permissions with respect to that case node and for each such case role a set of permissions to be associated with that case role with respect to that case node. The hierarchical permission model is used to enforce with respect to one or more case instances associated with the case model the permissions defined in the hierarchical permission model.

Abstract: Systems and methods for multi-agent based fraud detection are disclosed. A method may include: providing a generator configuration file comprising a plurality of transaction behaviors and a number or proportion of generator agents to act in accordance with each transaction behavior; providing a detector configuration file comprising a detector parameter for a plurality of detector agents to use; generating a first set of test data using the generator agents based on the transaction behavior, wherein the first set of generated test data may include a first set of generated test transactions, and each generated test transactions may include a fraud indicator based on the transaction behavior; training a plurality of detector agents using the first set of generated test data and the detector configuration file, wherein each detector agent outputs a first trained model object; and outputting a first trained detection model based on the first trained model objects.

Abstract: A method and a system for increasing accuracy in fraud detection are provided. The method includes: obtaining a first set of transaction data that relates to a first plurality of transactions, each respective transaction from among the first plurality of transactions having a corresponding originating account and a corresponding beneficiary account; determining, for each corresponding beneficiary account, a number of executed transactions associated with the corresponding beneficiary account by computing a respective PageRank value for a transaction graph associated with the corresponding beneficiary account; and when the respective PageRank value of the beneficiary account exceeds a predetermined threshold, determining that the corresponding beneficiary account is unlikely to be a participant in a future fraudulent transaction.

Abstract: Systems and methods for generating synthetic data using a learned copula are disclosed.

Abstract: A method of selecting an optimal wireless link based on an information handling system location fingerprint may comprise receiving a plurality of wireless signals from a plurality of address-identified wireless local area network (WLAN) access points (APs), detecting a plurality of time of flight (TOF) signal distances between the information handling system and the plurality of address-identified WLAN APs based on the plurality of wireless signals, determining a location fingerprint of the information handling system, relative to the plurality of address-identified WLAN APs, identifying an optimal wireless link associated with the location fingerprint of the information handling system, and automatically establishing the optimal wireless link associated with the location fingerprint of the information handling system.

Abstract: A method for creating a realistic agent-based simulation of an over-the-counter market and using data from the real market to calibrate the simulator is provided. The method includes: assigning, to each of a group of agents, a type value that relates to a state of the respective agent; receiving agent-specific data that relates to market-based observations, market-based actions, and market-based rewards; generating a market simulation based on the assigned type values and the received agent-specific data; and calibrating the market simulation based on actual market data.

Abstract: A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.

Abstract: A system for performing a subterranean operation, where the system may include a substructure of a rig configured to move from a first position to a second position, a first platform overlying and coupled to the substructure, a second platform overlying and coupled to the substructure, with the first platform configured to move independently from and relative to the substructure and the second platform, and with the second platform configured to move independently from and relative to the substructure and the first platform.

Abstract: Image enhancement systems and methods with variable number of excitation (NEX) acquisitions accelerated using compressed sensing for magnetic resonance (MR) imaging are provided. The MR system comprises a body coil adapted to emit electromagnetic waves onto the anatomy of interest and receive the signals emitted from the anatomy of interest. The system comprises variable number of excitations (NEX) based compressed sensing by acquisition of different points in k-space using the body coil. A first neural network comprising an image enhancement module is provided to reconstruct the body coil images that provides a high-quality image. The high-quality image is stored in an image database. A processor is configured to connect the image database to a second neural network that is a deep learning network trained to assess the image quality and provide feedback to the processor and the first neural network.

Abstract: A distributed resource model is described that maintains traits of resources in a distributed computing system. The traits include properties, commands, and events that, along with protocols operating in the distributed computing system, provide real-time access to the traits of resources in the distributed computing system, as well as real-time command of controls for the resources. Controllers manage and publish the traits of resources and provide various types of functionality, such as arbitration, complexity management, fan-out of capabilities, coordination, adaptation, and resource proxying.

Abstract: Case management systems and techniques are disclosed. In various embodiments, a hierarchical document permission model is received, the model describing a document hierarchy comprising a plurality of hierarchically related document nodes and defining for each of at least a subset of said document nodes one or more document roles and for each such role one or more document permissions with respect to that document node. The hierarchical document permission model is used to determine and enforce permissions with respect to case management instances to which the hierarchical document permission model applies.

Abstract: Methods of making cholic acid derivatives, particularly ursodeoxycholic acid, tauroursodeoxycholic acid, 7-ketolithocholic acid, obeticholic acid, their carboxylate salts and carboxylate esters, and starting materials and intermediates therefor.

Abstract: A method for heuristics-based link prediction in multiplex networks may include a link prediction computer program: receiving a model for a multiplex network; defining a property matrix that specifies feature for cross-layer correlation; constructing a cross-correlation matrix from the property matrix; applying a count and weight correlation heuristic to the cross-correlation matrix, wherein the count and weight correlation heuristic counts a number of layers that contain a link between two nodes, and weights that count according to cross-layer correlations; applying a correlation weighted heuristic to the cross-correlation matrix; applying a count correlation-weighted heuristic to the cross-correlation matrix that counts the number of layers that contain a link between two nodes and weights that count according to both cross-layer correlations and values resulting from evaluating a monoplex heuristic applied to each layer in the multiplex network, resulting in output values; and identifying a missing link ba

Abstract: Systems and methods for applying game theory for fraud detection. Rather than inspecting every transaction record, embodiments are directed to limiting incoming suspicious transaction records according to a schedule. The schedule may define time windows for various clients and transactions. These time windows may filter down the stream of incoming transaction records to a subset. As a result, fraud may be detected by strategically allocating resources in an optimal way rather than attempting to inspect each and every instance of transaction.

Abstract: Disclosed are compounds of Formulae 1 and 10 including all geometric and stereoisomers, tautomers, N oxides, and salts thereof, wherein E, L, J, A, T, R1, R2a, R2b, X, Y, R6a, R6b and R29 are as defined in the disclosure. Also disclosed are compositions containing the compounds of Formula 1 and methods for controlling plant disease caused by a fungal pathogen comprising applying an effective amount of a compound or a composition of the invention.