Abstract: Systems, apparatuses, and methods for serial peripheral interfaces are provided, particularly for PVT compensated serial peripheral interfaces with slow transition serial interface IO transmitter with reduced delay. The serial peripheral interfaces may include driver circuitry, pre-driver circuitry, PVT compensated current sink circuitry, and PVT compensated current source circuit. The PVT compensated current sink circuitry and PVT compensated current source circuit may generate and transmit signals compensating for PVT to the pre-driver circuitry, which may generate and transmit signals controlling IO data signals generated by the driver circuitry. The IO data signals generated may be compensated for process, voltage, and temperature. The compensation may provide IO data signals with slower transition times and with reduced delays.

Abstract: A load control system may be commissioned using beacons. The load control system may include control devices that each include a beacon transmitting circuit configured to transmit a beacon that comprises an identifier associated with the control device. A network device, such as a mobile device, may discover a control device based on the beacon received from the control device. In response to discovery of the control device, the control device may be added to a temporary group of control devices for being collectively configured and/or controlled. Control devices may be discovered based on the signal strength at which the beacons are received. The control devices may provide feedback to a user in response to confirmation messages to indicate to a user that the lighting control device has been added to the temporary group. The control devices may stop providing the feedback after they are removed from the temporary group.

Abstract: Embodiments provide methods and systems for analyzing device behavior data in multi-factor authentication (MFA) process. The method includes receiving, by a server system, a request in association with a payment transaction between a cardholder and a merchant. The request includes a cardholder identifier and information of a successful verification of a user input entered by the cardholder to perform MFA of the payment transaction. The method includes identifying user profile data stored in a database based on the cardholder identifier. The user profile data includes information of a plurality of registered user devices associated with the cardholder. The method includes performing device behavioral analysis of one or more user devices. The method includes generating an MFA token associated with the payment transaction based on the device behavioral analysis. The method includes transmitting the MFA token for authorizing the payment transaction to a payment server associated with a payment network.

Abstract: The present invention relates to azirine containing compounds useful as anti-angiogenesis agents and preparation thereof. Particularly the present invention relates to azirine containing compounds of formula I, Formula I wherein R1, R2 and R3 are same as defined in the description. The compounds of the present invention are with asymmetric centers this, they are mixture of enantiomers and mixture of diastereomers in some cases. The present invention includes the individual enantiomers and diastereomeric forms of the compound formula I besides the mixtures thereof.

Abstract: A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.

Abstract: Examples of systems and method for data transition are described. In an example, the present disclosure provides for automating the process of data movement from on premise to cloud, i.e., source Data warehouse (DWH) movement, ETL to cloud base DWH, ETL. The present disclosure provides for objects identification, metadata extraction, automated data type mapping, target data definition script creation, data extraction in bulk using source native optimized utilities, users and access control mapping to the target DWH, binary object movement, end-end audit report, and reconciliation reports.

Abstract: A device may receive source code from a source data structure, and may receive information associated with a target data structure. The device may analyze the source code to extract statements, and may utilize natural language processing on the statements to identify functions and keywords associated with the source data structure. The device may train a machine learning model with the functions and the keywords to generate a trained machine learning model, and may process the information associated with the target data structure, with the trained machine learning model, to transform a source query to a target query compatible with the target data structure. The device may process the target query, with a neural network model, to generate an optimized target query, and may cause data from the source data structure to be migrated to the target data structure based on the optimized target query.

Abstract: Examples of systems and method for data transition are described. In an example, the present disclosure provides for automating the process of data movement from on premise to cloud, i.e., source Data warehouse (DWH) movement, ETL to cloud base DWH, ETL. The present disclosure provides for objects identification, metadata extraction, automated data type mapping, target data definition script creation, data extraction in bulk using source native optimized utilities, users and access control mapping to the target DWH, binary object movement, end-end audit report, and reconciliation reports.

Abstract: An improved method for coupling carboxylic acids and amines is disclosed that includes the steps of combining a hyper-acid sensitive linker connecting an amine and a resin, a carboxylic acid, a carbodiimide, an activator additive, and a base, and carrying out the activation and coupling at a temperature greater than 30° C.

Abstract: An improved method for coupling amino acids into peptides or peptidomimetics is disclosed that includes the steps of combining an amino acid, a carbodiimide, an activator additive, and a base at less than 1 equivalent compared to the amino acid to be activated; and carrying out the activation and coupling at a temperature greater than 30° C.

Abstract: An improved method for coupling amino acids into peptides or peptidomimetics is disclosed that includes the steps of combining an amino acid, a carbodiimide, an activator additive, and a base at less than 1 equivalent compared to the amino acid to be activated; and carrying out the activation and coupling at a temperature greater than 30° C.

Abstract: An improved method for coupling carboxylic acids and amines is disclosed that includes the steps of combining a hyper-acid sensitive linker connecting an amine and a resin, a carboxylic acid, a carbodiimide, an activator additive, and a base, and carrying out the activation and coupling at a temperature greater than 30° C.