Fleuchaus & Gallo Partnerschaft mbB

Computer-implemented method, computer program product and computing system (100) are provided for improving an NMR measurement result obtained by an NMR spectrometer (200) for a sample (240). A magnetic field map (B0ma) for the actual main magnetic field (B0) of the NMR spectrometer including the sample is obtained as a function of spatial location in the sample with measurement points being taken at z-intervals. A time domain NMR measurement (TDM) of the sample is received. A value of a correction function (CFf1) for the NMR measurement is computed in the frequency domain, based on the received magnetic field map, for each of a plurality of predefined frequency intervals covering a frequency range with B0 deviations, as the total length of z-intervals with frequency values in the respective frequency interval. The correction function is transformed into the time domain. The time domain NMR measurement is divided by the transformed correction function (CFt1) to obtain a corrected time domain NMR measurement curve (TDMc) and the corrected time domain NMR measurement curve is transformed into the frequency domain to obtain an NMR spectrum (S1) of the sample with symmetrized peaks and overlapping peaks being resolved.

Methods and systems (300) for separation of thorium from uranium and their decay products are provided. The method comprises combining a nuclear fuel feedstock (102) comprising thorium and uranium with a first acid (104, 204) to form a first solution. The first solution is contacted an ion exchange resin (308) that is selective for thorium or uranium. The thorium or uranium is at least partially removed from the first solution by binding the thorium or uranium to the ion exchange resin (308) thereby forming a second solution (106, 206). The second solution (106, 206) is combined with oxalic acid to precipitate uranium or thorium from the second solution to form a precipitate (110, 210). The precipitate (110, 210) is separated from the second solution (106, 206)

System relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

System, apparatus, device and methods relating to a telematic vehicle sharing platform ecosystem and a telematic vehicle share I/O expander to automate sharing and management of a vehicle that is shared by more than one operator.

A dowel connecting system for joining adjacent precast building panels, the system comprising elongated hollow dowel connecting tubes configured to be cast in at the edges of two or more precast building panels such that when the building panels are positioned adjacent to each other their respective dowel connecting tubes are co-linearly aligned; and a dowel piece to be inserted into a recess of the co-linearly aligned dowel connecting tubes and to extend across the building panels; characterised in that the recesses of the dowel connecting tubes are each defined by an access slot and a resting channel that is parallel to the access slot, wherein the dowel piece is adapted to be inserted through the access slots to enter the resting channel, which can then be filled with grout to anchor the dowel piece therein thereby structurally joining adjacent building panels.

Differenzdrucksensor zur Erfassung eines Druckunterschieds zwischen einem ersten in einem ersten Fluidanstandsbereich einer Messmembran anstehenden Fluid und einem zweiten in einem zweiten Fluidanstandsbereich der Messmembran anstehenden Fluid, umfassend ein Gehäuse, mit wenigstens einem ersten Anschlussbereich, zur Herstellung einer Fluidverbindung mit einem das erste Fluid aufweisende fluidführenden System und einem Aufnahmebereich welcher die Messmembran an einem Lagerbereich wenigstens abschnittsweise einfasst, wenigstens ein Sensorelement, das mit der Messmembran gekoppelt ist, um bei einer Verformung der Messmembran ein elektrisches Messsignal auszugeben, wobei das Sensorelement in einem Bereich außerhalb des ersten oder des zweiten Fluidanstandsbereichs mit der Messmembran gekoppelt ist.

Disclosed herein are systems and methods for determining a likelihood of a vehicle tow. An example of one such method involves operating at least one processor to: receive telematics data originating from a plurality of telematics devices installed in a plurality of vehicles; identify, using the telematics data, a diagnostic trouble code (DTC) cycle experienced by one or more of the plurality of vehicles, the DTC cycle corresponding to a reporting of a DTC during a plurality of vehicle ignition cycles; determine, for each vehicle that experienced the DTC cycle, whether a tow event occurred; determine, for each vehicle for which the tow event occurred, a vehicle downtime associated with the tow event; determine whether a termination of the DTC cycle is associated with the tow event based at least in part on when the reporting of the DTC terminates relative to the vehicle downtime; and determine the likelihood of a vehicle tow for the DTC based at least in part on a number of vehicles for which the termination of the DTC cycle is associated with the tow event.

Disclosed are systems and methods for assessing driving risk in the field of vehicle telematics. The disclosed technology addresses the challenge of evaluating risk from raw, irregularly sampled telematics time series. The system comprises at least one data storage for telematics data and at least one processor operable to determine velocity vectors, longitudinal acceleration, and lateral acceleration from geospatial data, identify trip subintervals with non-zero speed events, and detect anomalous trip events using a stochastic model, such as a continuous-time hidden Markov model. The processor flags events exceeding a threshold as anomalous. A trip risk score is calculated based on the proportion of anomalous events. Principal uses include insurance premium adjustment, fleet management, and driver coaching. The disclosed technology further encompasses processes and non-transitory computer-readable media for implementing these functionalities.

The particular spectral distribution (310) of light (210) is encoded to a spectral distribution identifier (250/270). The light (210) is separately filtered by a set of filters (120-n), that together comply with uniqueness conditions. The filtered light (220-n) is measured (130) to obtain a provisional intensity vector ({B}, 230-n). To compensate for variations, computing functions (140, 150, 160, 170) use an intensity reference value (L_DATA) to accommodate light variations and use pre-determined calibration data ({CAL}) to accommodate filter variations. The computing functions thereby turn the provisional intensity vector to the spectral distribution identifier (250/270). Pre-determined calibration data ({CAL}) are obtained from a neural network that operates with simulated data.

Computer system (100) and computer-implemented method are provided for automated generation of manufacturing-machine control data (291) for the manufacturing of an orthodontic appliance (280) for a patient (2). Based on three-dimensional representations (210) of the patient's oral anatomy and an appliance type (211) of the orthodontic appliance, the system generates a control structure (111) comprising a mesh providing an initial representation (111pi) of an aimed appliance geometry, and subdivision manifold-related shape attribute information (Ills) with a subdivision scheme, implicit manifold-related shape attribute information (111i) with a scalar field, and information for evaluating a respective position of the respective vertex. Executing a subdivision according to the subdivision scheme generates a modified control structure (111m). For added vertices, respective shape attribute information is evaluated to obtain the position of the respective vertices. Once a final mesh is obtained, it is transformed into manufacturing-machine control data for the manufacturing of the orthodontic appliance, and provided to corresponding manufacturing means (290).