Abstract: The present disclosure provides a magnetoresistive (xMR) sensor that has enhanced immunity to the presence of a magnetic cross field by using a combination of differential biasing on the sensing layers of the sensing elements, sensing elements having different sensitivities, and different reference magnetization directions. The xMR sensor comprises two or more arrays of sensing elements, wherein each array comprises a plurality of sensing elements. The sensing elements within each array may be arranged in pairs, wherein the sensor elements within each pair have sensing layers that are magnetically biased in antiparallel directions. The sensing elements within each array are also provided with different respective sensitivities. The sensing elements having the lowest sensitivity are provided with a reference layer magnetised in a first direction, and the sensing elements in the remaining arrays are provided with a reference layer magnetised in a direction that is antiparallel to the first direction.

Abstract: The present disclosure provides tunnel magnetoresistive (TMR) multi-turn (MT) sensors with improved sensor read-out and methods of manufacturing said sensors. In some examples, the TMR sensing elements of the MT sensor are each provided with two or more electrical contacts for performing current-in-plane tunnelling measurements. The two or more electrical contacts may be provided above or below the TMR sensing elements. In further examples, one or more read-out pillars formed from TMR sensing material may be provided, the read-out pillars being electrically connected to one or more TMR sensing elements. The read-out pillars are configured such that the resistance observed in the read-out pillars is negligible or near-negligible relative to that observed in the TMR sensing elements, such that the measured output signal only reflects the change in resistance experience by the TMR sensing elements in the presence of an externally rotating magnetic field.

Abstract: The present disclosure provides tunnel magnetoresistive (TMR) multi-turn (MT) sensors with improved sensor read-out and methods of manufacturing said sensors. In some examples, the TMR sensing elements of the MT sensor are each provided with two or more electrical contacts for performing current-in-plane tunnelling measurements. The two or more electrical contacts may be provided above or below the TMR sensing elements. In further examples, one or more read-out pillars formed from TMR sensing material may be provided, the read-out pillars being electrically connected to one or more TMR sensing elements. The read-out pillars are configured such that the resistance observed in the read-out pillars is negligible or near-negligible relative to that observed in the TMR sensing elements, such that the measured output signal only reflects the change in resistance experience by the TMR sensing elements in the presence of an externally rotating magnetic field.

Abstract: A computer-implemented method of generating dose information for a region of patient anatomy includes determining a first set of dose values for a first three-dimensional (3D) image of the region, wherein each value in the first set of dose values is associated with a different voxel of the first 3D image, and wherein the first 3D image is associated with a specific application of dose to the region; determining a second set of dose values for a representative 3D image of the region, wherein each value in the second set of dose values is associated with a different voxel of the representative 3D image; determining a set of geometric error models for the representative 3D image of the region, wherein each geometric error model in the set of geometric error models indicates a geometric error between a voxel of the representative 3D image and one or more voxels of a treatment fraction 3D image of the region; and based on the second set of dose values and the set of geometric error models, determining a set of do

Abstract: Embodiments described herein provide a method for generating training data for Al based atlas mapping slice localization, and a system and method for using the training data to train a deep learning network. Training data development maps each slice of an input medical image to a position in a full body reference atlas along the longitudinal body axis. The method constructs a landmarking table of 2D slices indicating known anatomic landmarks of a reference subject, and interpolated slices. A final step for obtaining training data uses regression analysis techniques to create a vector of longitudinal axis coordinates of all slices from the input image. The training data is used to train a deep learning model to create an AI-based atlas mapping slice localizer model. The trained AI-based atlas mapping slice localizer model can be applied to generate mapping inputs to autosegmentation models to improve efficiency and reliability of contouring.

Abstract: The present invention addresses to a device that allows the control of the gas pressure at the outlet of a fixed bed adsorption equipment operated at high pressures, by means of the actuation of a micrometric valve (6), wherein the valve must be located downstream of the equipment. The valve actuation takes place by means of a stepper motor (1), controlled by a microcontroller board (22), which connects to the valve shaft by means of a system of pulleys (2, 5) and belt (3). The present invention is applied in adsorption units, in which other gases are present, by altering the tuning parameters of the PID controller or even being used in a liquid medium or gas-liquid two-phase flow.