Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: The present disclosure provides a method of manufacturing a semiconductor device. The method includes: forming a transistor region in a substrate; forming a gate dielectric layer over the transistor region; forming a diffusion-blocking layer over the gate dielectric layer; forming a first portion of a work function layer over the diffusion-blocking layer; forming a second portion of the work function layer over the first portion of the work function layer; forming a plurality of barrier elements on or under a top surface of the second portion of the work function layer; and forming a gate electrode over the work function layer, wherein the plurality of barrier elements block oxygen from diffusing into the work function layer during the formation of the gate electrode.

Abstract: A method of manufacturing a high-density titanium alloy article is disclosed. The method comprises a mixing and granulating step, a high-pressure molding step, and a high-temperature sintering step. Moreover, by means of selecting proper size of titanium raw powder and granulating the titanium raw powder and other metallic powder into titanium-based grains, a titanium alloy article having a high density is obtainable.