Abstract: The invention relates to a hub covering (2) for a tyre filling device of a vehicle for covering a wheel hub (1) of the vehicle, wherein an air supply which is coupled to a steering knuckle (21) arranged inside the wheel hub (1) is connected to an air volume in a tyre of a vehicle wheel at least indirectly via a rotary connection (3) arranged on the hub covering (2), wherein the rotary connection (3) comprises an adapter (4), which is arranged in an axially secured and rotatable manner on the hub covering (4), and receives a rotary transmitter (5) for producing a compressed air connection to the tyre of the vehicle wheel. The invention further relates to a tyre filling device and to an adapter (4) for such a hub covering (2).

Abstract: The invention relates to a laboratory system including at least one laboratory device which is designed to analyse and/or synthesise a chemical substance; at least one laboratory software module which is designed to process data obtained from the at least one laboratory device; a data processing device with control software that provides an interface for operating the at least one laboratory device and/or the at least one laboratory software module; and a portable device with a microphone, wherein the device is connected interoperably to the control software via a network, wherein the device is designed, in interoperation with the control software, to allow a user to operate the at least one laboratory device and/or the at least one laboratory software module without manual intervention, by speaking into the microphone.

Abstract: The present invention relates to a mass spectrometric method for determining (predicting) the presence or absence of a chemical element in an analyte which provides valuable information towards reduction of complexity for annotating a chemical formula to the analyte. The method is based on representing a measured isotopic pattern of an analyte as a feature vector and assigning the feature vector to the presence/absence class using a machine learning algorithm, like a support vector machine (SVM) or an artificial neural network (NN).

Abstract: The present invention relates to a mass spectrometric method for determining (predicting) the presence or absence of a chemical element in an analyte which provides valuable information towards reduction of complexity for annotating a chemical formula to the analyte. The method is based on representing a measured isotopic pattern of an analyte as a feature vector and assigning the feature vector to the presence/absence class using a machine learning algorithm, like a support vector machine (SVM) or an artificial neural network (NN).

Abstract: The present invention relates to novel selective cathepsin S inhibitors, the pharmaceutically acceptable salts and N-oxides thereof, their uses as therapeutic agents and the methods of their making.

Abstract: Novel inhibitors of cathepsin S, K, B, and L, the pharmaceutically acceptable salts and N-oxides thereof, their uses as therapeutic agents and the methods of their making.

Abstract: The present invention relates to novel cathepsin S inhibitors, the pharmaceutically acceptable salts and N-oxides thereof, their uses as therapeutic agents and the methods of their making.