Vesterinen, Jussi Tapio

An electro-mechanically stackable docking station (1) is proposed for a drone. The docking station (1) comprises: a housing (8) comprising a door (5); a tray mechanism (6) comprising a tray (6) configured to move between a retracted position, and an extended position; a landing pad (7) on the tray (6) for the drone; a data communication module to allow the docking station (1) to set up a data communication link with the drone (2) and/or with another device; a data processing unit to process data; one or more mechanical coupling features (9) on the housing (8) to allow the docking station (1) to be mechanically coupled to one or more other docking stations (1) on one or more sides of the docking station (1); and one or more electrical connectors (14) and/or inductive pads (49) to allow the docking station (1) to be electrically connected to the one or more other docking stations.

An electromagnetic radiation detector (2) according to one embodiment of the invention comprises: a light source (11₁) for emitting continuous-wave optical radiation, and an electro-optic modulator (20) exposed to an electromagnetic radiation to be detected and configured to receive the optical radiation. The electro-optic modulator (20) comprises an antenna (22) for collecting the electromagnetic radiation, an optical waveguide (23) extending in the electro-optic modulator (20) to allow the optical radiation to propagate therethrough, and two electrodes (24) extending along the waveguide (23) and coupled to the antenna (22) to enable an electro-optic effect to take place in the waveguide (23) such that the electromagnetic radiation modulates the optical radiation propagating in the waveguide (23). The detector further comprises a photodetector (12) configured to receive the modulated optical radiation and convert the modulated optical radiation into an electrical signal to allow determination of the power of the detected electromagnetic radiation.

A dust collection device for a vacuum cleaner is provided, relating to the technical field of dust removal equipment, to solve the problems in existing technologies that a dust collection box is of an integral body which is difficult to clean. The dust collection device for the vacuum cleaner includes a first dust collection part and a second dust collection part. The first dust collection part is of a cylindrical structure, and the second dust collection part is of a conical structure. Large-opening ends of the first dust collection part and the second dust collection part are in detachable connection. The first dust collection part and the second dust collection part are provided with a first connection opening and a second connection opening respectively at their ends away from each other, and at least one of the first connection opening and the second connection opening is connected to a separation device of the vacuum cleaner. The dust collection device for the vacuum cleaner can be split into the first dust collection part and the second dust collection part for separate cleaning, whereby it is convenient to clean the interior of the device. Both the first connection opening and the second connection opening can be connected to the separation device of the vacuum cleaner, which increases the installation mode and improves the flexibility of use.

A computer-implemented method is proposed for quantifying one or more regions of interest (ROIs) of an organ or tumour. The method comprises: acquiring a first MRI sequence of a first sequence type, referred to a source sequence, and one or more second MRI sequences of at least a second sequence type, referred to as target sequences, the source and target sequences representing the ROIs of the organ or tumour of a patient under examination; segmenting the source sequence by using a trained AI model to obtain a labelled source sequence including a set of labels; transferring the labels from the source sequence to the target sequence(s) to obtain one or more labelled target sequences enabling identification of the ROIs in the labelled target sequence(s); and calculating ROI parametric information from voxel values identified by a respective label of the labelled target sequence(s) as processed or unprocessed to obtain region-specific information about the ROls.

The present invention relates to a method for straining a two-dimensional layer of solid material (5) in a nanoelectronic device. The method comprises the steps of providing a substrate; adding a thin film onto the substrate to be in direct contact with the substrate (4), or onto one of one or more first interlayers placed on the substrate (4) to be in indirect contact with the substrate (4); patterning the thin film; and adding, through a high-temperature process, a two-dimensional layer of solid material onto the patterned thin film (3) to be in direct contact with the patterned thin film (3), or onto one of one or more second interlayers placed on the patterned thin film (3) to be in indirect contact with the patterned thin film (3).

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