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.