Abstract: A method and system for performing automated data lineage discovery between a source record and a target record within a network are disclosed. The method includes identifying pairs of a source column and a target column, and performing data lineage discovery for each of the pairs for identifying data lineages. The method further includes selecting a target data lineage for at least one pair based on calculated scores for each of the pairs, in which values included in a source column and values included in a target column of the at least one pair consistently correspond to one another. Accordingly, data lineage between the source column and target column of the at least one pair may be determined without knowledge of manipulation performed on the values of the source column for obtaining the values of the target column.

Abstract: Process control of continuous production of biomolecules is a major challenge due to complex nature of processes and time scales of operations involved. Availability of key process variables in real-time is one of main requirements. This disclosure relates to a processor implemented method of controlling a continuous bioprocessing plant which includes at least one of: receiving, an input data associated with one or more equipments; generating, by a recipe builder, a sequence of unit operations to determine at least one job order based on the at least input data; obtaining, a control decision associated with a control parameter based on the at least one job order; communicating, via the middleware, the control decision associated with the control parameter to the PLC; and executing, by a control system of the PLC, the control decision on a unit equipment to control: (i) a continuous bioprocessing train, and (ii) an individual unit operation.

Abstract: Process control of continuous production of biomolecules is a major challenge due to complex nature of processes and time scales of operations involved. Availability of key process variables in real-time is one of main requirements. This disclosure relates to a processor implemented method of controlling a continuous bioprocessing plant which includes at least one of: receiving, an input data associated with one or more equipments; generating, by a recipe builder, a sequence of unit operations to determine at least one job order based on the at least input data; obtaining, a control decision associated with a control parameter based on the at least one job order; communicating, via the middleware, the control decision associated with the control parameter to the PLC; and executing, by a control system of the PLC, the control decision on a unit equipment to control: (i) a continuous bioprocessing train, and (ii) an individual unit operation.

Abstract: A method including converting a predetermined number of catalytic zones into a number of finite elements, where the number of finite elements include a number of collocation points represented by a number of mathematical roots in an algebraic system, modeling a catalyst volume including a length of a continuous reactor to have the predetermined number of catalytic zones, representing the first ordinary differential equation, second ordinary differential equation, and third ordinary differential equations in the algebraic system, and performing orthogonal collocation on the number of finite elements in the algebraic system while simultaneously varying at least one of the first number of polynomials and simultaneously varying a percentage of active catalyst and a length of each of the predetermined number of catalytic zones in the second number of polynomials to obtain the mass flow rate of the product for the given chemical reactions.

Abstract: Stable colloid nanoparticles comprising poorly soluble drugs are disclosed, as well as methods of making and methods of using such nanoparticles, e.g., as therapeutics and diagnostics.