Abstract: Predictions of current and/or future neurocognitive decline (NCD) can be based on functional neuroimaging data (e.g., fMRI data) and a machine-learning classifier model. Functional neuroimaging data is obtained while the subject performs a naturalistic language-processing task, such as watching a movie clip, and processed to extract a quantitative feature set. A classifier model is trained using machine learning techniques to predict a subject's NCD status based on the quantitative feature set.

Abstract: A method of constructing a micromechanical device by additive manufacturing for characterizing strength of a low dimensional material sample, the method including: a) deriving a three-dimensional representation arranged to represent a said micromechanical device with reference to at least one physical characteristic of a said low dimensional material sample; b) transforming the three-dimensional representation into a plurality of two-dimensional representations arranged to individually represent a portion of the three-dimensional representation; and c) forming the micromechanical device from a fluid medium arranged to transform its physical state by stereolithography apparatus in response to a manipulated illumination exposed thereto, whereby a said low dimensional material sample is loaded onto the formed micromechanical device.

Abstract: A method of constructing a micromechanical device by additive manufacturing for characterizing strength of a low dimensional material sample, the method including: a) deriving a three-dimensional representation arranged to represent a said micromechanical device with reference to at least one physical characteristic of a said low dimensional material sample; b) transforming the three-dimensional representation into a plurality of two-dimensional representations arranged to individually represent a portion of the three-dimensional representation; and c) forming the micromechanical device from a fluid medium arranged to transform its physical state by stereolithography apparatus in response to a manipulated illumination exposed thereto, whereby a said low dimensional material sample is loaded onto the formed micromechanical device.