Abstract: Disclosed is a method for classifying monitoring results from an analytical sensor system (20), by allowing (100) a first set of analyte sample solutions to interact with a ligand (3) and acquiring (101) a set of response data, extracting (102) at least one interaction parameter from the response data, and for each analyte sample solution providing (103) a trained machine learning algorithm with the interaction parameter(s). The trained machine learning algorithm classifies (104) each analyte sample solution based on the interaction parameter(s) into at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3).

Abstract: A remote control for the control of AC power uses the AC power wave of an existing AC power line for the transmitting control signals from a control location to a remote location. A transmitter at the control location provides a predetermined number of control pulses to the AC power line and includes at least one breakdown device and at least one capacitor in series across the AC power line.