Abstract: The present invention provides a method for producing a compound represented by formula (2), comprising at least a step of preparing a compound represented by formula (1) and a step of reacting the compound represented by formula (1) with a hydrogen source using a catalyst, wherein R1 and R2 are each independently an alkyl group.

Abstract: A device includes a wireless interface configured for wirelessly transmitting a signal to a receiver; and a precoder unit configured for obtaining a first data signal to be transmitted and a second data signal to be transmitted; and for performing a first multipath-precoding of the first data signal according to a first set of paths between the device and the receiver to obtain a first precoded signal; and for performing a second multipath-precoding of the second data signal according to a second set of paths between the device and the receiver to obtain and a second precoded signal; wherein the precoder unit is configured for generating the first precoded signal and the second precoded signal such that the second precoded signal is delayed with respect to the first precoded signal at the receiver. The device is configured for transmitting the first precoded signal and the second precoded signal.

Abstract: An apparatus including a memory (128), a display (122), and a processor (126). The memory is configured to store a protocol definition module (132). The processor is configured to execute the protocol definition module, which causes the processor to display, via the display, an interactive graphical tool (202) that includes a digital representation of an anatomical model with an interactively generated scan field of view superimposed thereover to create a standard scan protocol for execution by an imaging system, wherein the scan field of view identifies anatomy of the subject to scan for the scan protocol.

Abstract: Systems and methods for a bifurcated self-executing program that wraps a first self-executing program (e.g., a first smart contract) on a blockchain within a second self-executing program (e.g., a second smart contract), in which the second self-executing program enforces the digital signature requirement. The bifurcated self-executing program comprises a single compiled self-executing program that combines the first self-executing program and the second self-executing program.

Abstract: Systems and methods for providing early payment recommendations may include one or more processors establish a connection between a first data source and a second data source, and maintain a machine-learning model trained to ingest data from the first and second data source. The processor(s) may detect a data entry for an invoice between an enterprise and a third party via the connection, extract a trade term from the invoice responsive to detecting the data entry, apply the trade term to the machine-learning model as a first input, and apply data of the account of the second data source to the machine-learning model as second input. The processor(s) may receive, from the machine-learning model, an output including a score for early-payment of the data entry according to the trade term and the data of the account, and transmit a notification for the invoice to a computing device of the enterprise.

Abstract: The present invention relates to an optical fiber sensor, comprising an optical fiber having embedded therein at least one fiber core (14, 16, 18, 20) extending along a length of the optical fiber, the at least one fiber core having a plurality of single fiber Bragg gratings (40, 42, 44) arranged in series along the at least one fiber core (14, 16, 18, 20), wherein each fiber Bragg grating (40, 42, 44) has a single reflection spectrum around a single reflection peak wavelength when interrogated with light in an unstrained state of the at least one fiber core (14, 16, 18, 20), wherein the reflection peak wavelengths of the single reflection spectra are different from fiber Bragg grating (40, 42, 44) to fiber Bragg grating (40, 42, 44) along the at least one fiber core. Also described is an optical system and a method of interrogating an optical fiber sensor.

Abstract: Embodiments include a provider computing system associated with a provider including at least one processing circuit configured to present, by a graphical user interface while a bill pay application is in an unlaunched state, a notification including a plurality of summaries of at least one bill, automatically launch the bill pay application in response to the customer selecting a summary of the plurality of summaries of at least one bill, and automatically navigate to a sub-screen presenting the selected summary. The least one processing circuit further configured to receive, via the bill pay application, a request to pay an amount of funds to a biller, generate a payment request, provide at least one post to a funds account circuit based on the payment request, and generate and provide a payment data object to a biller computing system.

Abstract: Methods and systems for accessing customer account information involve, for example, binding a computing device with a customer's profile via one or more attributes of the computing device and an encrypted token stored on the computing device and thereafter receiving an authentication request consisting at least in part of the computing device attributes and the encrypted token stored on the computing device. A determination is made as to whether or not entry of a customer credential was received within a pre-determined preceding interval of time, and predefined customer account information is displayed on the computing device without requiring entry of the customer credential when a determination is made that entry of the customer credential was received within the pre-determined preceding interval of time.

Abstract: Methods and systems of managing payment cards are disclosed. A financial institution computing system includes a token database storing a plurality of tokens and token information, a network interface circuit enabling the financial institution computing system to exchange information over a network; and a token management circuit. The token management circuit enables a graphical user interface on a customer device over the network that can be used to generate new token requests, re-provision token requests, and management requests. The management requests enable and disable tokens, such that transactions against a payment card account using an enabled token are completed, and transactions against the payment card account using a disabled token are denied.

Abstract: Systems and methods for generating and maintaining data objects may include server(s) for receiving first and second data points associated with entities and root relationships between entities. The first data points may have entity values which are defined according to an entity type and one or more attributes of the entity. The second data points may have relationship values which are defined according to a root relationship type and one or more attributes of the root relationship. The server(s) may generate entity base layer data objects and relationship base layer data objects for the first and second data points. The server(s) may provide access to base layer data objects for identifying contextual relationships between respective base layer data objects. The contextual relationships may be identified by applying conditional rules received from a computing device to data corresponding to the entity values and/or the relationship values.

Abstract: The present disclosure relates to a computer implemented method performed by a gaming system. In particular, the present disclosure relates to a scheme for further improving an attraction power of a game provided in relation to the gaming system. The present disclosure also relates to a corresponding gaming system and a computer program product.

Abstract: The systems and methods disclosed herein enable evaluation of machine learning model outputs within a virtual environment. The disclosed model validation platform enables testing of code generated for detection of malicious or anomalous outputs. For example, the model validation platform can construct a virtual machine isolated from the system and test model-generated code for validation of LLM-generated outputs. In some implementations, the model validation platform determines parameters of the virtual machine and/or associated validation test based on an evaluation of the machine learning model's output and/or the associated underlying prompt. For example, the parameters of the validation test depend on an evaluation of the user or the provided input (e.g., depending on the presence of sensitive data within the prompt). By doing so, the system enables dynamic evaluation of machine learning model outputs to improve the security and robustness of associated generated code.

Abstract: The invention provides for a method of training a neural network (322) configured for providing a further processing location (326). The method comprises providing (200) a labeled medical image (100), wherein the labeled medical image comprises multiple labels each indicating a truth processing location (102, 104, 106). The method further comprises inputting (202) the labeled medical image into the neural network to obtain one trial processing location. The one trial processing location comprises a most likely trial processing location (108). The method further comprises determine (204) the closest truth processing location (106) for the most likely trial processing location. The method further comprises calculating (206) an error vector (110) using the closest truth processing location and the most likely trial processing location. The method further comprises training (208) the neural network using the error vector.

Abstract: A secure authentication system, computer program recording medium and method enable secure transaction with authentication to eradicate fraud. A customer is authenticated via a customer application executed on a communication device. A customer-paced communication session is enabled between the customer application and a transaction system via a network connection. A customer continuity factor is monitored in maintaining the communication session. In response to receiving a customer request via the customer application, a level of trust in current authentication of the customer is determined based on the user continuity factor. In response to the level of trust being below a trust threshold, the customer is directed via the customer application to provide a customer request comprising a customer-supplied image having a specified contextual element. The communication session is re-authenticated to process the user input by the transaction system based on verification of the received user-supplied image.

Abstract: The present disclosure describes a sleep staging system. The sleep staging system comprising: one or more sensors configured to generate output signals conveying information related to one or more breathing parameters of subject; and one or more physical computer processors operatively connected with the one or more sensors, the one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over one or more time windows; detect presence of a breathing event based on the output signals; determine sleep states of the subject with a sleep stage classifier model based upon the distribution of the breathing features and the one or more breathing events; and provide feedback indicating the sleep states.

Abstract: A method of a radiotherapy or radiosurgery treatment comprises steps of: (a) providing a converging x-ray beam source configured for emitting a converging X-ray beam propagating along an axis thereof; (b) emitting the converging x-ray beam towards a volume of treatment (VOT) having a length along the axis of the converging X-ray beam ranging between 2 mm and 5 cm within a patient's body such that a waist portion is within the VOT; (c) propagating the beam through tissues previously located relative to the VOT (PO); the VOT per se and tissues distally located to the VOT (DO). The converging X-ray beam characterized by a convergent angle ranging between 2 and 30 degrees providing 80% to 100% of a maximum dose is received by the VOT and less than 60% of the maximum dose is received by the PO and the DO.

Abstract: Systems and methods for generating a platform-agnostic data pipeline via a low code transformation layer are disclosed. The system receives one or more user selections of (i) nodes and (ii) links linking the nodes, indicating a data pipeline architecture of transfer/management/flow of data via a GUI. In response to receiving a user selection to implement the data pipeline, the system automatically identifies/generates a set of code portions, based on one or more software objects (e.g., JSON objects) associated with the user selections indicating the data pipeline architecture. The system then identifies a platform identifier associated with a remote server and generates a set of executable instructions (e.g., a script, executable program, or other file) associated with the data pipeline architecture by using a transformation component. The system then provides the executable instructions to the remote server to host the data pipeline.

Abstract: In one example, a method for prediction future network anomaly events is disclosed. The method includes generating a machine learning model for a computer communication network. Generation of the machine learning model can be by applying a historical set of time series data metrics of the computer communication network to train the machine learning model. The method may determine a data metric threshold that indicates a limit for future data metrics associated with the computer communication network. The method may analyze current data metrics associated with the computer communication network, and predict a future time when the data metrics associated with the computer communication network will meet or exceed the data metric threshold value. The method may flag the prediction of the future time to avoid a network anomaly.