Laqua, Bernd Christian Kurt

The present disclosure relates to an elevator guide rail (100) comprising a head portion (110) and a foot portion (120), wherein a recess is formed in a base surface of the foot portion.

A universal serial bus, USB, merging device (200) for simultaneously controlling a workstation (100) associated with a medical device by a local USB input device (120) and a remote input device (130) is disclosed. The USB merging device (200) comprises a first input port (210) configured to be connected to the local USB input device (120), a second input port (220) configured to be connected to a USB device (140) interfacing with the remote input device (130), and a first output port (230) configured to be connected to the workstation (110) via USB. The USB merging device (200) further comprises at least one processor (250) and at least one memory (260) containing instructions executable by the at least one processor (250) such that the at least one processor (250) is operable to receive local control information from the local USB input device (120) and remote control information from the USB device (140) interfacing with the remote input device (130), merge the received control information to obtain merged control information reflecting both the local control information and the remote control information, and transmit the merged control information to the workstation (110) to control the workstation (110) in accordance with the merged control information.

A computer-implemented method (150) for controlling the distribution of electrical energy to a set of technical units, computer-implemented method (100) for obtaining an operational envelope of electrical energy provision relating to at least one set of technical units, TU, and associated apparatuses (180, 190), systems (10a, 10b), and computer program elements.

A method for generating a three-dimensional visualization for assessing a volumetric bone mineral density, vBMD, of a patient is provided, the method being performed by a computing system and comprising: obtaining (S1010) a computed tomography, CT, scanning image of a region of the patient; segmenting (S1020) at least one vertebra of the patient located within the obtained image; identifying (S1030), by a first artificial intelligence, AI, module, at least one segment of the at least one segmented vertebra and determine suitability for vBMD assessment of the at least one segmented vertebra based on the identified at least one segment; excluding (S1030) the at least one vertebra from the segmented image if it is determined to be unsuitable for vBMD assessment; calculating (S1050) a vBMD of a non-excluded at least one segmented vertebra; generating (S1070) a three-dimensional representation of the calculated vBMD; and visualizing (S1070) the generated three-dimensional representation on a display.

The present disclosure relates to a vehicle (100) for transporting a storage bin in a warehouse. The vehicle (100) comprises a housing (110, 120, 130) and a fire extinguisher (150) configured to release an extinguishing agent into the housing. The vehicle is contemplated as an electric cabinet on wheels having a fire extinguisher on board allowing to extinguish a fire or cool down and overheated component (141, 146), which eliminates the main sources of ignition/fire in such vehicles.

A method for determining a bone mineral density, BMD, of a patient is disclosed. The method is performed by a computing system and comprises: obtaining (S210) a computed tomography, CT, scanning image of a region of the patient, the scanning image acquired by a CT scanner using a first known parameter; mapping (S220), by a first artificial intelligence, AI, module, at least one attribute of the obtained scanning image into a space of an ideal CT scanner with known system settings using a first domain adaptation step, wherein the ideal scanner employs a second known parameter, wherein the first known parameter and the second known parameter relate to one another; adjusting (S240), by a second AI module, a BMD of the mapped image to remove patient-specific effects using a second domain adaptation step; delineating (S250) a region of interest of a bone of the patient within the adjusted image; and determining (S260) a BMD of the delineated region of interest of the bone.

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