Abstract: A method including providing an acoustic resonator having an absorption element with a surface portion, providing a sample fluid or a fluid mixture containing the sample fluid with at least one absorption fluid or particles such that the acoustic resonator is filled with the same, the surface portion of the absorption element being in contact with the sample fluid. Irradiating the surface portion of the absorption element with a first electromagnetic radiation such that the absorption element at least partly absorbs the first electromagnetic radiation in the region of the surface portion, or irradiating the fluid mixture with a first electromagnetic radiation such that the absorption fluid or the absorption particles at least partly absorb(s) the first electromagnetic radiation, and so, by way of the absorption, pressure energy is generated in the sample fluid or the fluid mixture, with the first electromagnetic radiation being amplitude modulated or frequency modulated with a modulation frequency.

Abstract: A method for teaching an electronic computing device includes at least a machine learning algorithm for predicting a position-based propagation of radio waves in an environment, including the steps of: providing a mathematical model for the position-based propagation, wherein the mathematical model includes at least a physical model for the position-based propagation in the environment generating training data for the machine learning algorithm including a propagation field and/or a propagation domain; training the machine learning algorithm by fitting the training data to a partial derivative of the machine learning algorithm; and obtaining a prediction of a propagation loss by a weighted sum of multiple evaluations of the trained machine learning algorithm. Furthermore, provided is a computer program product, a computer-readable storage medium as well as an electronic computing device.

Abstract: The present invention relates to the medical use of a zwitterionic antifouling hydrogel. The hydrogel may be used in prevention of and protection against inflammation of tissue or in stabilization of a tissue implant.

Abstract: A method and a device for the detection of transglutaminases, in particularly of blood coagulation factor XIII (FXIII). The method is based on a rapid, point-of-care compatible test principle for transglutaminases and allows an exact determination of FXIII in a short time and with simple handling.

Abstract: Method and apparatus for industrial scale production of a suspension for a battery, wherein an input material is processed via ball milling in a rotating chamber of a device that is effected as a continuous process with a continuously controlled addition of the input material and with a continuously controlled delivery of the processed output material, where state parameters of the input material and process parameters of the manufacturing installation are acquired as first parameters during production of the suspension, results of laboratory analyses about the state or quality of the manufactured suspension are acquired as second parameters in a learning phase during production, the first and the second parameters are used in the learning phase for training a model for predicting the state or quality via machine learning, and where the device is open-loop or closed-loop controlled outside the learning phase via the first parameters and the trained model.

Abstract: Systems and methods involving implants positioned within implant pockets through minimally invasive entrance incisions, along with related neurostimulatory implants. In some implementations, implants may be folded, rolled, or otherwise compressed to fit within subcutaneous implant pockets, after which they may be decompressed to fit within an implant pocket having one or more dimensions substantially larger than the entrance incision. Such implants may be used for a variety of purposes, including generating electrical energy for various other implants, including neurostimulatory implants located throughout the body.

Abstract: The present disclosure provides a computer implemented method for facilitating a teaching surgeon to teach or assist a learning surgeon in minimally invasive interventions using a surgical instrument including displaying endoscopic images of an intervention site in real time on a display device, said endoscopic images being captured using a camera associated with an endoscopic instrument, and tracking a movement of one or both hands of said teaching surgeon and/or a device held by said teaching surgeon, using a real-time tracking apparatus, wherein said real-time tracking apparatus comprises a tracking system and a computing device, wherein said tracking of said movement comprises recording a sequence of tracking information of one or both hands of said teaching surgeon and/or the device held by said teaching surgeon.

Abstract: A controller for a technical system is trained using a machine learning method. For this purpose, a chronological sequence of training data is detected for the machine learning method, the training data including both state data as well as control action data of the technical system. A change in the control action data over time is detected specifically and correlated with changes in the state data over time within different time windows, wherein a time window specific correlation value is ascertained in each case. A resulting time window is then ascertained on the basis of the ascertained correlation values, and the training data which is found within the resulting time window is extracted in a time window-specific manner. The controller is trained by means of the machine learning method using the extracted training data and thereby configured to control the technical system.

Abstract: Provided is an apparatus and method for cooperative controlling wind turbines of a wind farm, wherein the wind farm includes at least one pair of turbines aligned along a common axis approximately parallel to a current wind direction and having an upstream turbine and a downstream turbine. The method includes the steps of: a) providing a data driven model trained with a machine learning method and stored in a database, b) determining a decision parameter for controlling at least one of the upstream turbine and the downstream turbine by feeding the data driven model with the current power production of the upstream turbine which returns a prediction value indicating whether the downstream turbine will be affected by wake, and/or the temporal evolvement of the current power production of the upstream turbine; c) based on the decision parameter, determining control parameters for the upstream turbine and/or the downstream turbine.

Abstract: A computer-implemented method for determining at least one remaining time value, to be determined, for a system is provided, having the following steps: a. providing at least one known input data record containing a multiplicity of input elements for at least one determined time; b. providing at least one associated known remaining time value for the at least one input data record; c. determining the at least one remaining time value to be determined by applying an error function to the at least one input data record and the at least one associated remaining time value; and d. providing an output data record containing the at least one determined remaining time value and an associated reliability value. The invention furthermore targets a corresponding determination unit and computer program product.

Abstract: Real state information, which influences the switching times of a light signal system, is supplied as input signals to a first neural network in a fixed time cycle. The first neural network calculates estimated state information as a replacement for real state information or parts of the real state information which are not received in good time or are received incorrectly in the fixed time cycle. This estimated state information is output to artificial intelligence which predicts the switching times. The first neural network allows the artificial intelligence to also make good predictions for the switching times of signal groups when one of the many communication paths involved fails or is overloaded. It is therefore possible to predict signal group states in the fixed time cycle in real time with a high degree of robustness and tolerance with respect to gaps in the time cycle of the real state information provided.

Abstract: Various embodiments include a method for producing a quality test system executing a quality test model with a filter mask and a quality model to determine a quality feature of a battery cell. The system has an electrochemical impedance spectroscopic unit for capturing test data relating to the battery within a frequency range. The method includes: creating the model; and producing the system. Creating the model includes: capturing spectroscopic learning data; creating the filter mask using a first machine learning method with analysis data from part of the frequency range by consulting the filter mask and creating the model using a second machine learning method. The first and the second learning method are coupled based on the learning data. The first machine learning method creates a filter mask determining the analysis data such that the second machine learning method creates a quality model optimized with respect to maximizing the quality.

Abstract: Various embodiments include a sensor module for providing a sensor module signal comprising information representative of a physical quantity measured by the sensor module. The sensor module may include: a first sensor providing a signal representative of the physical quantity; a first processing device processing the first signal; a second sensor providing a signal representative of the physical quantity; a second processing device processing the second signal; a control device generating the sensor module signal based on the processed first sensor signal and the processed second sensor signal; and a checking device checking the sensor module signal, the processed first sensor signal, and the processed second sensor signal for coherency, and providing a check result signal representative of a result of the check.

Abstract: The invention is directed to a vehicle pneumatic tire wherein strengthening plies are provided with steel cords running parallel to one another. The belt plies can be used, as isolated electrically conductive plates, for supplying electricity to electrical consumers such as sensors and actuators installed in the tire. Adjacent belt plies can be connected by puncture sensors to be able to identify damage to the belt caused by metallic parts penetrating from the outside, such as nails, on the basis of a change in the electrical resistance.

Abstract: A method and an open-loop and closed-loop control device for compensating for a clutch torque of a separating clutch located between an internal combustion engine and an electric machine in a hybrid drive of a motor vehicle. The compensation takes into consideration the rotational speed of the electric machine. The rotational speed of the electric machine impacts clutch torque. A compensation factor is calculated, and increases or decreases the necessary clutch torque, causing a corresponding actuation of an actuator to achieve the necessary clutch torque.

Abstract: A control device for a technical system, state-specific safety information about an admissibility of a control action signal is read in by a safety module is provided. Furthermore, a state signal indicating a state of the technical system is supplied to a machine learning module and to the safety module. In addition, an output signal of the machine learning module is supplied to the safety module. The output signal is converted into an admissible control action signal by the safety module on the basis of the safety information depending on the state signal. Furthermore, a performance for control of the technical system by the admissible control action signal is ascertained, and the machine learning module is trained to optimize the performance. The control device is then configured by the trained machine learning module.

Abstract: Frontal splashguard member assemblies and related methods. In some embodiments, one or more splashguard members may be coupled to a frontal portion of a bicycle frame, such as a down tube, by way of one or more splashguard retention members and a plurality of fasteners, which fasteners may extend through openings formed in the one or more splashguard members and around the splashguard retention member.

Abstract: An arrangement for pressure monitoring within a battery housing of a battery system. The arrangement includes a first power supply path and a pressure measuring. The pressure measuring unit is electrically connected to the first power supply path. The arrangement also includes a pressure-sensitive mechanical switching unit arranged within the battery housing and electrically connected, in series with the pressure measuring unit, to the first power supply path. The switching unit switches to an electrically conductive switching state when the pressure within the battery housing exceeds a predefined pressure threshold and establishes a supply of power to the pressure measuring unit via the first power supply path, and switches to an electrically blocking switching state when the pressure within the battery housing falls below the pressure threshold and interrupts the supply of power to the pressure measuring unit via the first power supply path.

Abstract: A method and an open-loop and closed-loop control device for compensating for a clutch torque of a separating clutch located between an internal combustion engine and an electric machine in a hybrid drive of a motor vehicle. The compensation takes into consideration the rotational speed of the electric machine. The rotational speed of the electric machine impacts clutch torque. A compensation factor is calculated, and increases or decreases the necessary clutch torque, causing a corresponding actuation of an actuator to achieve the necessary clutch torque.

Abstract: Frontal splashguard member assemblies and related methods. In some embodiments, one or more splashguard members may be coupled to a frontal portion of a bicycle frame, such as a down tube, by way of one or more splashguard retention members and a plurality of fasteners, which fasteners may extend through openings formed in the one or more splashguard members and around the splashguard retention member.