Abstract: A method and an automation component for identifying a process-disrupting automation component in an industrial automation assembly, wherein a process disruption is determined in a first automation component and examined by a first local analysis device, where an automation component arranged upstream and/or an automation component arranged downstream is first determined by each automation component, an interrogation message is sent from a first automation component to a second automation component and the same interrogation message or a further interrogation message is recursively sent by the second automation component to a third automation component arranged upstream or downstream of the second automation component and processed, where in the event of a locally determined disruption, the relevant automation component sends a response message, which is back-propagated to the origin and signaled such that a decentralized error analysis becomes possible, even with a changing system topology, without the need

Abstract: The present invention relates to obeticholic acid: or a pharmaceutically acceptable salt, solvate or amino acid conjugate thereof. Obeticholic acid is useful for the treatment or prevention of a FXR mediated disease or condition, cardiovascular disease or cholestatic liver disease, and for reducing HDL cholesterol, for lowering triglycerides in a mammal, or for inhibition of fibrosis. The present invention also relates to processes for the synthesis of obeticholic acid.

Abstract: A method of virtually inspecting a quality of a product in a production environment includes receiving production information associated with the product, wherein the information is indicative of an operation performed on the product in relation to a first process of the production environment. The method further includes: determining a label for the product using a first classifier model based on the received information associated with the product; comparing the determined label against inspection data associated with an inspection of the product; and storing the production information and the inspection data associated with the product in an extension buffer, based on the comparison of the determined label and the inspection data, for retraining the first classifier model. The above method allows for storing new fault category information that is then dynamically used to retrain the model. Accordingly, this allows for retraining of classifier models without human intervention.

Abstract: A method for ascertaining control data for a gripping device for gripping an object includes capturing an image of the object, determining at least one object parameter of the captured object, and ascertaining control data for a gripping device to grip the object at at least one gripping point, where ascertaining the at least one gripping point of the object is performed using information relating to at least one possible stable position of the object, and the possible stable position of the object is established such that all of the position data of the object that can be converted into one another via a movement and/or rotation about a surface normal of a support surface on which the object lies are assigned to the possible stable position.

Abstract: The invention relates to a method for generating training data for an ML model. The training data is designed to configure the ML model using a machine learning method. In particular, the ML model is designed to be used as part of a method for ascertaining control data for a gripping device for gripping an object.

Abstract: A method of reading a tag located on an object, wherein the tag includes tag values associated with the object, where the method includes obtaining a first sensor output, by reading the tag using a tag reader, the first sensor output being at least one of an erroneous and incomplete representation of the tag values of the tag and includes deriving at least one tag value from the first sensor output using a model, where the model is based on a first set of sensor outputs generated by the tag reader by reading a plurality of tags and tag values associated with the plurality of tags, and where the first set of sensor outputs includes a plurality of sensor outputs, where each sensor output includes at least one of an erroneous and incomplete representation of at least one tag value of the corresponding tag.

Abstract: The present invention relates to obeticholic acid: or a pharmaceutically acceptable salt, solvate or amino acid conjugate thereof. Obeticholic acid is useful for the treatment or prevention of a FXR mediated disease or condition, cardiovascular disease or cholestatic liver disease, and for reducing HDL cholesterol, for lowering triglycerides in a mammal, or for inhibition of fibrosis. The present invention also relates to processes for the synthesis of obeticholic acid.

Abstract: Various embodiments of the teachings herein include methods and/or systems for enhancing performance of a machine learning (ML) classification task. An example method includes: obtaining a first prediction generated by a first ML classification model provided with production data as input; obtaining a second prediction generated by a second ML classification model provided with the production data as input; and determining a prediction result for the production data by calculating a weighted sum of the first prediction and the second prediction based on weights for the first ML classification model and the second ML classification model. The first ML classification model comprises a few-shot learning model having a first feature extractor followed by a metric-based classifier. The second ML classification model has a second feature extractor followed by a fully-connected classifier.

Abstract: A method of reading a tag located on an object, wherein the tag includes tag values associated with the object, where the method includes obtaining a first sensor output, by reading the tag using a tag reader, the first sensor output being at least one of an erroneous and incomplete representation of the tag values of the tag and includes deriving at least one tag value from the first sensor output using a model, where the model is based on a first set of sensor outputs generated by the tag reader by reading a plurality of tags and tag values associated with the plurality of tags, and where the first set of sensor outputs includes a plurality of sensor outputs, where each sensor output includes at least one of an erroneous and incomplete representation of at least one tag value of the corresponding tag.

Abstract: An automated method determines a safety zone for a robot. The robot carries out operations along a specified trajectory. For collision-free operation, a safety zone is determined by: dividing the specified trajectory into a plurality of subtrajectories; determining a plurality of fine-grained envelope cuboids around extreme points of each subtrajectory; and determining a number of optimized envelope cuboids from an enlargement of individual fine-grained envelope cuboids in relation to the volume occupied by the enlarged fine-grained envelope cuboids. The optimized envelope cuboids determined in this way form the safety zone for the trajectory. This automated method can be expanded to multiple trajectories of a robot, multiple robots, and replanning a trajectory for an occupied semaphore zone.

Abstract: The present invention relates to a coupled biotransformation process of converting chenodeoxycholic acid (CDCA) and related compounds to ursodeoxycholic acid (UDCA) and related compounds. It also relates to the cloning, expression, and biochemical characterization of a novel NADP+-dependent 7?-hydroxysteroid dehydrogenase (7?-HSDH) from Clostridium difficile, cofactor switch mutants thereof, and their application for the oxidation of bile acids. A further aspect of the invention relates to novel NADP-dependent cofactor switch mutants of the NADP+-dependent 7?-HSDH of E. coli and their application for the oxidation of bile acids.

Abstract: A method and an automation component for identifying a process-disrupting automation component in an industrial automation assembly, wherein a process disruption is determined in a first automation component and examined by a first local analysis device, where an automation component arranged upstream and/or an automation component arranged downstream is first determined by each automation component, an interrogation message is sent from a first automation component to a second automation component and the same interrogation message or a further interrogation message is recursively sent by the second automation component to a third automation component arranged upstream or downstream of the second automation component and processed, where in the event of a locally determined disruption, the relevant automation component sends a response message, which is back-propagated to the origin and signaled such that a decentralized error analysis becomes possible, even with a changing system topology, without the need

Abstract: The invention relates to a method for adjusting a protective function during operation of a machine (1), in which a transfer region (5) is monitored by a plurality of protective devices (L1, L2), the transfer region (5) being arranged between a risk region (2), in which a dangerous movement is performed by the machine (1), and a surrounding region (3), the transfer region (5) being monitored by first protective devices (L1) in respective first monitoring directions (UI) and, independently thereof, by second protective devices (L2) in respective second monitoring directions (U2), at least one of the first protective devices (L1) and at least one of the second protective devices (L2) being arranged relative to one another in such a way that the first monitoring direction (UI) of the at least one first protective device (L1) and the second monitoring device (U2) of the at least one second protective device (L2) have a point of intersection (S).

Abstract: The invention relates to a method for adjusting a protective function during operation of a machine (1), in which a transfer region (5) is monitored by a plurality of protective devices (L1, L2), the transfer region (5) being arranged between a risk region (2), in which a dangerous movement is performed by the machine (1), and a surrounding region (3), the transfer region (5) being monitored by first protective devices (L1) in respective first monitoring directions (UI) and, independently thereof, by second protective devices (L2) in respective second monitoring directions (U2), at least one of the first protective devices (L1) and at least one of the second protective devices (L2) being arranged relative to one another in such a way that the first monitoring direction (UI) of the at least one first protective device (L1) and the second monitoring device (U2) of the at least one second protective device (L2) have a point of intersection (S).

Abstract: A method for computer-aided processing of state messages in an automation installation, wherein state messages are generated by components and detected with their generation points in time, where causative states present at the generation point of the state message or beforehand in other components are determined for a multiplicity of state messages of a respective component and the current state in the generated state message, where the propagation time between occurrence of the respective causative state and the generation point of the state message is calculated for each causative state, where groups are formed from the causative states, where in a respective group all causative states have at least the common feature that they were determined for the same current state in the respective component, and where at least one statistical parameter is determined from the propagation times which belong to the causative states of the same group and stored.

Abstract: The present invention relates to obeticholic acid: or a pharmaceutically acceptable salt, solvate or amino acid conjugate thereof. Obeticholic acid is useful for the treatment or prevention of a FXR mediated disease or condition, cardiovascular disease or cholestatic liver disease, and for reducing HDL cholesterol, for lowering triglycerides in a mammal, or for inhibition of fibrosis. The present invention also relates to processes for the synthesis of obeticholic acid.

Abstract: A control device of an automation system, which is configured to control a plant, such as a production plant, including using an AI system, is provided. In an application of the control device, the device monitors the production with regard to the quality of the objects produced, for example, with regard to the presence of fault cases. The AI system is trained in advance based on a plurality of known states of the objects, so that the AI system may be trained for the occurrence of new, previously unknown states, where only a small number of example cases are required.

Abstract: An automated method determines a safety zone for a robot. The robot carries out operations along a specified trajectory. For collision-free operation, a safety zone is determined by: dividing the specified trajectory into a plurality of subtrajectories; determining a plurality of fine-grained envelope cuboids around extreme points of each subtrajectory; and determining a number of optimized envelope cuboids from an enlargement of individual fine-grained envelope cuboids in relation to the volume occupied by the enlarged fine-grained envelope cuboids. The optimized envelope cuboids determined in this way form the safety zone for the trajectory. This automated method can be expanded to multiple trajectories of a robot, multiple robots, and replanning a trajectory for an occupied semaphore zone.

Abstract: The present invention relates to a coupled biotransformation process of converting chenodeoxycholic acid (CDCA) and related compounds to ursodeoxycholic acid (UDCA) and related compounds. It also relates to the cloning, expression, and biochemical characterization of a novel NADP+-dependent 7?-hydroxysteroid dehydrogenase (7?-HSDH) from Clostridium difficile, cofactor switch mutants thereof, and their application for the oxidation of bile acids. A further aspect of the invention relates to novel NADP-dependent cofactor switch mutants of the NADP+-dependent 7?-HSDH of E. coli and their application for the oxidation of bile acids.

Abstract: A method for computer-aided processing of state messages in an automation installation, wherein state messages are generated by components and detected with their generation points in time, where causative states present at the generation point of the state message or beforehand in other components are determined for a multiplicity of state messages of a respective component and the current state in the generated state message, where the propagation time between occurrence of the respective causative state and the generation point of the state message is calculated for each causative state, where groups are formed from the causative states, where in a respective group all causative states have at least the common feature that they were determined for the same current state in the respective component, and where at least one statistical parameter is determined from the propagation times which belong to the causative states of the same group and stored.