Abstract: A method of managing supply chain risks having a supply chain risk analysis implementation, includes loading from a data storage or a memory, supply chain data for a supply chain which indicates information about the supply chain; mapping the supply chain data to a consistent input model; automatically analyzing, by an analytics module implemented on a processor, the input model to detect supply chain anomalies indicating the supply chain risks; producing an analysis results output of the analyzed input model; and outputting the analysis results output of the detected supply chain anomalies to the memory, the data storage, a display, or a message. A supply chain risk analysis system includes the processor, the data storage or the memory that stores the supply chain data for the supply chain which indicates information about the supply chain. The processor is configured to perform the processes.

Abstract: An apparatus for magnetic processing of biological samples comprising at least one device for generating a static magnetic field gradient. The device has at least one permanent magnet, which is designed as a rod-shaped dipole magnet with an air gap. The device also has at least one holder for sample vessels, which comprises at least two sample vessel receptacles. The sample vessel receptacles are arranged in a different relative position with respect to the device for generating a static magnetic field gradient. The at least two sample vessel receptacles are arranged such that a first sample vessel receptacle is located close to the air gap of the dipole magnet, and a second sample vessel receptacle is located close to a side wall of the dipole magnet.

Abstract: Method and system for analyzing at least one computing system to determine attributes of software within computing systems, includes: loading input data representing or pertaining to the software of the computing system; loading and executing at least two individual analyses on the data format of the software of the input data; generating an individual analysis result for each of the at least two individual analyses; loading and executing multi-layer/multi-data format analysis on the individual analysis results; generating multi-layer and/or multi-data format analysis result indicating an additional attribute being different from the attributes indicated by the first and second ones of the individual analysis results; generating an output data describing the individual analysis results and/or the multi-layer and/or multi-data format analysis result; storing the output data; and determining if the output data satisfies a predetermined condition, and if so, executing action corresponding to the output data on t

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof for the prophylaxis and/or treatment of one or more cardiac diseases in a non-human mammal/non-human mammal patient excluding a feline, in particular a canine/canine patient.

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof in combination with telmisartan or pharmaceutically acceptable forms thereof, in particular for the prophylaxis and/or treatment of one or more renal diseases and/or hypertension in a non-human mammal/non-human mammal patient, such as a dog or a cat.

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof in combination with pimobendan and/or telmisartan or pharmaceutically acceptable forms thereof, in particular for the prophylaxis and/or treatment of one or more cardiac diseases in a non-human mammal/non-human mammal patient, such as a dog or a cat.

Abstract: Method and system for analyzing binary computing system program data for recursive semantics, the recursive semantics being computational constructs and mechanisms that facilitate self-reference or repetition within binary program inputs and that enable repeated execution of a block of code through direct self-reference, the method and system comprising: receiving binary program input; analyzing the binary program input using analysis, extracting aspects of structural and functional characteristics of the binary program input; creating graphical representation corresponding to the recursion and iteration processes within the binary program input's algorithms; initializing, if not previously established, program anthology, indexing algorithms derived from the binary program input within the program anthology, storing the indexed program anthology, retrieving previously categorized algorithms, and determining an output indicating the recursive semantics being present in the binary program input that enable the

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof for the prophylaxis and/or treatment of one or more renal diseases in a non-human mammal, such as a carnivore, in particular a cat or a dog.

Abstract: Method and system for analyzing a computing system for properties of a machine learning model in the computing system include loading input data for the machine learning model; generating a surrogate model that simulates the behavior and/or characteristics, or an approximation of the behavior and/or the characteristics of the machine learning model, by using segments or an entirety of the loaded input data; adjusting the input data and/or the surrogate model to enable an analysis; loading and executing the analysis of a correlation between inputs and outputs of the surrogate model to identify a result pertaining to the input data and/or the machine learning model; generating an output data describing the result; storing the output data pertaining to the result in the memory; determining if the result satisfies a predetermined condition, and if so, executing an action corresponding to the result on the computing system.

Abstract: Method and system for analyzing computing devices for properties of at least one computer software in the at least one computing system, includes loading, input data for at least one computer software; determining a result pertaining to vulnerabilities present or expected to be present within the computer software; mapping vulnerabilities to frameworks, determining a result pertaining to the outcome of the vulnerability-to-framework mapping; generating, an output data describing the at least one result; storing the output data pertaining to the result in a memory; and determining, if the result satisfies a predetermined condition, and if so, executing an action corresponding to the result on the computing system.

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof for the prophylaxis and/or treatment of one or more cardiac diseases in feline animals.

Abstract: A system and method for managing implementation of policies in an information technologies system receives at least one policy function, at least one refinement template and at least one available policy function from the at least one memory, receives a policy input indicating a high-level policy for the IT system where the policy input is compliant with the at least one policy function and is received in a format that is not machine-enforceable at an enforcement entity of the IT system, based on the received policy input, automatically or semi-automatically generates a machine-enforceable rule and/or configuration by filling the at least one refinement template, where the machine-enforceable rule and/or configuration includes the at least one available policy function and being compliant with the received policy input, and distributes the machine-enforceable rule and/or configuration to the at least one memory of the IT system or another at least one memory to thereby enable implementation of the policies.

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof for the prophylaxis and/or treatment of one or more cardiac diseases in feline animals.

Abstract: A system and method for managing implementation of policies in an information technologies system receives at least one policy function, at least one refinement template and at least one available policy function from the at least one memory, receives a policy input indicating a high-level policy for the IT system where the policy input is compliant with the at least one policy function and is received in a format that is not machine-enforceable at an enforcement entity of the IT system, based on the received policy input, automatically or semi-automatically generates a machine-enforceable rule and/or configuration by filling the at least one refinement template, where the machine-enforceable rule and/or configuration includes the at least one available policy function and being compliant with the received policy input, and distributes the machine-enforceable rule and/or configuration to the at least one memory of the IT system or another at least one memory to thereby enable implementation of the policies.

Abstract: A method of managing supply chain risks having a supply chain risk analysis implementation, includes loading from a data storage or a memory, supply chain data for a supply chain which indicates information about the supply chain; mapping the supply chain data to a consistent input model; automatically analyzing, by an analytics module implemented on a processor, the input model to detect supply chain anomalies indicating the supply chain risks; producing an analysis results output of the analyzed input model; and outputting the analysis results output of the detected supply chain anomalies to the memory, the data storage, a display, or a message. A supply chain risk analysis system includes the processor, the data storage or the memory that stores the supply chain data for the supply chain which indicates information about the supply chain. The processor is configured to perform the processes.

Abstract: A method of managing supply chain risks having a supply chain risk analysis implementation, includes loading from a data storage or a memory, supply chain data for a supply chain which indicates information about the supply chain; mapping the supply chain data to a consistent input model; automatically analyzing, by an analytics module implemented on a processor, the input model to detect supply chain anomalies indicating the supply chain risks; producing an analysis results output of the analyzed input model; and outputting the analysis results output of the detected supply chain anomalies to the memory, the data storage, a display, or a message. A supply chain risk analysis system includes the processor, the data storage or the memory that stores the supply chain data for the supply chain which indicates information about the supply chain. The processor is configured to perform the processes.

Abstract: The present invention concern a method and a device for the isolation of non-magnetic cells from a heterogeneous sample solution containing biological material including desired and undesired cells.

Abstract: The present invention is directed to the use of one or more SGLT-2 inhibitors or pharmaceutically acceptable forms thereof for the prophylaxis and/or treatment of one or more cardiac diseases in feline animals

Abstract: Method and system for automating analyzing anomalies of an item for which no golden reference item is available, by using reference information, wherein the golden reference item is a known non-abnormal instance of an analyzed assembly, includes loading from a data storage, a memory, or via a communication, or user entry, item information of an analyzed item to be analyzed to be either expected or abnormal; loading reference information about the analyzed item; preprocessing both of the item information and the reference information to facilitate analysis; analyzing the item information and the reference information to determine a result that indicates whether elements of the item are confirmed by the reference information to be expected or abnormal; generating an output data with the result; and storing the output data pertaining to the result in a memory.

Abstract: A method of automatically configuring an action determination model includes determining an environment model, determining an action determination model that indicates an action option, determining whether the action determination model indicates a next action option, and if so, determining an action based on the action determination model, simulating execution of the action across the environment model, obtaining a simulated result, adjusting the action determination model. Then, until environment or an agent reach an end state, the following are repeated: determining whether the action determination model indicates the next action option, and if so, determining the action based on the action determination model, simulating the execution of the action across the environment model, obtaining the simulated result, and adjusting the action determination model.