Abstract: A method can be used for leveling a fastening element to be anchored in a substrate, with fastening element used, for example, for mounting a parapet or glazing. The method involves installing an anchor in the substrate; attaching an adjustment element that is height-adjustable along the anchor to the anchor; and arranging the fastening element on the adjustment element or the anchor in another position defined by the adjustment element. The method further involves leveling the fastening element by adjusting the adjustment element from above using a leveling adapter, which is arranged at least in part above the fastening element and can be gripped and operated from above, in particular by the adjustment element and the leveling adapter interlocking or being releasably interconnected through the fastening element. The method then involves removing the leveling adapter and/or fixing the fastening element to the anchor in the position adjusted in this manner.

Abstract: A filter element has a first follower element with a first traction surface and a second follower element with a second traction surface provided for interacting with first and second mating surfaces of the filter housing, respectively. The first and second traction surfaces interact with the first and second mating surfaces to pull out the filter element from the filter housing. The first and second traction surfaces are spaced apart from each other along a longitudinal axis of the filter element and project radially into the interior of the filter element. At least one of the first and second follower elements has a stop surface adjoining circumferentially the respective traction surface. In a position of use, the stop surface interacts with a counter stop surface of the filter housing to form an at least unidirectional rotational degree of freedom blocking about the longitudinal axis relative to the filter housing.

Abstract: An exhaust gas turbocharger has a flow-through exhaust gas guide section, a flow-through fresh air guide section and a bearing section arranged between the exhaust gas guide section and the fresh air guide section. It has a rotor assembly, comprising a turbine wheel which is rotatably accommodated in the exhaust gas guide section, a compressor wheel which is rotatably accommodated in the fresh air guide section, and a shaft which non-rotatably connects the compressor wheel with the turbine wheel, wherein the shaft is rotatably supported in the bearing section, and wherein a lubricant supply system with an inlet channel and an outlet channel is formed in the bearing section, via which lubricant may be supplied to the bearing elements of the bearing of the shaft, and wherein a lubricant-rejecting element is implemented. The lubricant-rejecting element comprises baffle elements for diverting a rotating proportion of the lubricant flow.

Abstract: A method is provided for continuously clarifying a flowable suspension with a discontinuously solid-discharging—self-discharging—separator, which has a rotatable drum with a vertical axis of rotation, a feed for the suspension to be clarified and at least one liquid discharge for continuously discharging at least one clarified liquid phase, and discontinuously openable solid-discharge openings for discontinuously discharging the solid phase. The method involves a) measuring one or more of the suspension parameters mass, mass of solid substance in the suspension, mass flow, temperature, density, cumulative density; and b) initiating a time-limited discharge of solid substance as a result of a repeated determination on the basis of step a) in the event of or after the exceeding of a limit value.

Abstract: A cardiac implant includes a classifier configured analyze the data for comparison to thresholds prioritized according to a Boolean decision tree. The implant can generate an indicator of alert status (i.e., alert or no alert). A supervisory device operated, for example, by a doctor can associate each indicator a marker (AE/no AE) indicating the presence or absence of an observed adverse event. In the presence of a false positive, a command for update of the thresholds of the decision tree is transmitted to the implant. A database of reference patients can be used to recreate or further update the decision tree to avoid the occurrence of false negatives.

Abstract: An active medical device is configured to receive inputs and to calculate a hemodynamic parameter representative of myocardium contractility determined from an endocardial acceleration signal. The microcontroller acquires heart rate and hemodynamic parameter pairs of values during a plurality of cardiac cycles. The microcontroller is configured to distribute the pairs of values into discrete bins to develop a profile for analysis. The microcontroller is configured to conduct an analysis comprising calculating an index representative of the patient's clinical status. The hemodynamic parameter representative of the myocardial contractility is a time interval separating the first and the second peak of endocardial acceleration.

Abstract: A method is provided for continuously clarifying a flowable suspension with a discontinuously solid-discharging—self-discharging—separator, which has a rotatable drum with a vertical axis of rotation, a feed for the suspension to be clarified and at least one liquid discharge for continuously discharging at least one clarified liquid phase, and discontinuously openable solid-discharge openings for discontinuously discharging the solid phase. The method involves a) measuring one or more of the suspension parameters mass, mass of solid substance in the suspension, mass flow, temperature, density, cumulative density; and b) initiating a time-limited discharge of solid substance as a result of a repeated determination on the basis of step a) in the event of or after the exceeding of a limit value.

Abstract: An active medical device is configured to receive inputs and to calculate a hemodynamic parameter representative of myocardium contractility determined from an endocardial acceleration signal. The microcontroller acquires heart rate and hemodynamic parameter pairs of values during a plurality of cardiac cycles. The microcontroller is configured to distribute the pairs of values into discrete bins to develop a profile for analysis. The microcontroller is configured to conduct an analysis comprising calculating an index representative of the patient's clinical status. The hemodynamic parameter representative of the myocardial contractility is a time interval separating the first and the second peak of endocardial acceleration.

Abstract: An active medical device is configured to receive inputs and to calculate a hemodynamic parameter representative of myocardium contractility determined from an endocardial acceleration signal. The microcontroller acquires heart rate and hemodynamic parameter pairs of values during a plurality of cardiac cycles. The microcontroller is configured to distribute the pairs of values into discrete bins to develop a profile for analysis. The microcontroller is configured to conduct an analysis comprising calculating an index representative of the patient's clinical status. The hemodynamic parameter representative of the myocardial contractility is a time interval separating the first and the second peak of endocardial acceleration.

Abstract: A device, for adaptive processing of an endocardial acceleration signal, continuously collects an endocardial acceleration EA signal and divides it into EA sub-signals, each over the duration of one cardiac cycle. The EA sub-signals are separated into the EA1 and EA2 components. A cross-correlation between the EA sub-signals of each component and a time calibration compared to a reference cycle, and a series of validation criteria is applied. The result is an average overall EA signal for a cycle. A change in the patient's condition or an occurrence of a predetermined event in the patient is detected (24) and, as a result there is dynamic adaptation of at least one of said validation criteria and/or at least one of the preprocessing parameters for calculating the EA signal average.

Abstract: The present invention is directed generally to fabrics, and more specifically to fabrics and belts employed in industrial processes.

Abstract: A cardiac implant includes a classifier configured analyze the data for comparison to thresholds prioritized according to a Boolean decision tree. The implant can generate an indicator of alert status (i.e., alert or no alert). A supervisory device operated, for example, by a doctor can associate each indicator a marker (AE/no AE) indicating the presence or absence of an observed adverse event. In the presence of a false positive, a command for update of the thresholds of the decision tree is transmitted to the implant. A database of reference patients can be used to recreate or further update the decision tree to avoid the occurrence of false negatives.

Abstract: A device, for adaptive processing of an endocardial acceleration signal, continuously collects an endocardial acceleration EA signal and divides it into EA sub-signals, each over the duration of one cardiac cycle. The EA sub-signals are separated into the EA1 and EA2 components. A cross-correlation between the EA sub-signals of each component and a time calibration compared to a reference cycle, and a series of validation criteria is applied. The result is an average overall EA signal for a cycle. A change in the patient's condition or an occurrence of a predetermined event in the patient is detected (24) and, as a result there is dynamic adaptation of at least one of said validation criteria and/or at least one of the preprocessing parameters for calculating the EA signal average.

Abstract: Device for adaptive processing of an endocardial acceleration signal. The device continuously collects an endocardial acceleration EA signal and divides it into EA sub-signals, each over the duration of one cardiac cycle. The EA sub-signals are separated into the EA1 and EA2 components. A cross-correlation between the EA sub-signals of each component and a time calibration compared to a reference cycle, and a series of validation criteria is applied. The result is an average overall EA signal for a cycle. A change in the patients condition or an occurrence of a predetermined event in the patient is detected (24) and, as a result there is dynamic adaptation of at least one of said validation criteria and/or at least one of the pre-processing parameters for calculating the EA signal average.

Abstract: An active medical device is configured to receive inputs and to calculate a hemodynamic parameter representative of myocardium contractility determined from an endocardial acceleration signal. The microcontroller acquires heart rate and hemodynamic parameter pairs of values during a plurality of cardiac cycles. The microcontroller is configured to distribute the pairs of values into discrete bins to develop a profile for analysis. The microcontroller is configured to conduct an analysis comprising calculating an index representative of the patient's clinical status. The hemodynamic parameter representative of the myocardial contractility is a time interval separating the first and the second peak of endocardial acceleration.

Abstract: A sieve for the wet-end section of a paper machine is described, in which the sieve has been compressed by at least one of increased temperature, pressure and/or moisture. Such a treatment leads to a sieve which has at least one side wherein the thread floats and knuckles are reshaped and the sieve presents at least one substantially flatter surface for the production of paper. This process does not cause any physical damage to the surface of the sieve, as current techniques of abrasively polishing the surface do, and therefore leads to cloths with improved properties and lifetimes.

Abstract: Device for adaptive processing of an endocardial acceleration signal. The device continuously collects an endocardial acceleration EA signal and divides it into EA sub-signals, each over the duration of one cardiac cycle. The EA sub-signals are separated into the EA1 and EA2 components. A cross-correlation between the EA sub-signals of each component and a time calibration compared to a reference cycle, and a series of validation criteria is applied. The result is an average overall EA signal for a cycle. A change in the patients condition or an occurrence of a predetermined event in the patient is detected (24) and, as a result there is dynamic adaptation of at least one of said validation criteria and/or at least one of the pre-processing parameters for calculating the EA signal average.