Abstract: A first aspect of this disclosure is related to a computer-implemented method for monitoring a dose output of a medical radiation device, comprising the steps: obtaining training dose data from a reference device; training a machine learning algorithm, MLA, with the training dose data to teach the MLA to identify the reference device based on dose data from the reference device that differs from the training dose data; obtaining operational dose data from a medical radiation device to be monitored; providing the operational dose data to the trained MLA; providing output information related to the difference between the reference device and the medical radiation device based on the MLA.

Abstract: A sealing element for a rotary piston machine for sealing a lever is provided which is guided in an annular gap and is rotatable around a rotational axis, wherein the sealing element is rotationally symmetrical relative to the rotational axis, characterized in that the sealing element comprises a dynamic region and a static region, wherein the dynamic region has an axial sealing face being directed towards the annular gap, and a radial sealing face being directed towards the interior of an annular channel of the rotary piston machine, which annular channel surrounds the annular gap; and wherein the static region serves to fix the sealing element to the rotary piston machine, and wherein there is formed in the static region a channel, to which a fluid can be supplied.

Abstract: A sensor arrangement for a wheelchair wheel that has a running wheel with a hub and a hand rim includes a running wheel fastening arrangement that is fastened to the running wheel, a hand rim fastening arrangement that is fastened to the hand rim and at least one sensor that detects a movement of the hand rim fastening arrangement relative to the running wheel fastening arrangement. Two restoring elements are provided on the running wheel fastening arrangement and rest against the hand rim arrangement with a prestressing force at least in the zero position. Both restoring elements rest against at least one stop of the running wheel fastening arrangement in the zero position of the sensor arrangement.

Abstract: A sealing element for a rotary piston machine for sealing a lever is provided which is guided in an annular gap and is rotatable around a rotational axis, wherein the sealing element is rotationally symmetrical relative to the rotational axis, characterized in that the sealing element comprises a dynamic region and a static region, wherein the dynamic region has an axial sealing face being directed towards the annular gap, and a radial sealing face being directed towards the interior of an annular channel of the rotary piston machine, which annular channel surrounds the annular gap; and wherein the static region serves to fix the sealing element to the rotary piston machine, and wherein there is formed in the static region a channel, to which a fluid can be supplied.

Abstract: A sensor arrangement for a wheelchair wheel that has a running wheel with a hub and a hand rim includes a running wheel fastening arrangement that is fastened to the running wheel, a hand rim fastening arrangement that is fastened to the hand rim and at least one sensor that detects a movement of the hand rim fastening arrangement relative to the running wheel fastening arrangement. Two restoring elements are provided on the running wheel fastening arrangement and rest against the hand rim arrangement with a prestressing force at least in the zero position. Both restoring elements rest against at least one stop of the running wheel fastening arrangement in the zero position of the sensor arrangement.

Abstract: An optimization method for a fluence pattern to be provided via a radiotherapeutic apparatus comprising a multi-leaf collimator comprises an iteration of a progressive solution (such as a gradient approach) of the fluence profile, at least some iterations including a weighted penalty function which varies between solutions favored by the collimator design and solutions not so favored, later iterations including the penalty function at a greater weight. Thus, the penalty function represents locally preferred solutions derived from the constraints of the multi-leaf collimator (MLC). As the iteration progresses, the greater weight assigned to the penalty function drives the method towards a solution which is possible given the MLC constraints. However, the lesser weight attached in the early stages of the iteration allows the method to settle towards a genuinely preferred solution.

Abstract: An optimisation method for a fluence pattern to be provided via a radiotherapeutic apparatus comprising a multi-leaf collimator comprises an iteration of a progressive solution (such as a gradient approach) of the fluence profile, at least some iterations including a weighted penalty function which varies between solutions favoured by the collimator design and solutions not so favoured, later iterations including the penalty function at a greater weight. Thus, the penalty function represents locally preferred solutions derived from the constraints of the multi-leaf collimator (MLC). As the iteration progresses, the greater weight assigned to the penalty function drives the method towards a solution which is possible given the MLC constraints. However, the lesser weight attached in the early stages of the iteration allows the method to settle towards a genuinely preferred solution.