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: A headphone and a headphone status detection method are provided. A signal processor of the headphone transmits a plurality of code messages to a first audio playback unit, so that the first audio playback unit plays a plurality of first audio signals with different frequencies corresponding to the code messages according to a playback sequence. The signal processor obtains a plurality of first time points at which a first audio receiving unit receives the first audio signals that are reflected for the first time. The signal processor determines a wear status of the headphone according to the plurality of first time points.

Abstract: The present disclosure provides an animal guiding device adapted to be disposed on an animal. The animal guiding device comprises a substrate, an odor module, and a control module. The substrate is adapted to be disposed on the animal. The odor module is disposed on the substrate. The odor module comprises an odor source, an atomizer, and a guide tube. The atomizer atomizes the odor source into an odor gas. The guide tube receives the odor gas from the atomizer. The control module is disposed on the substrate. The control module controls the guide tube to spray the odor gas towards a specified direction.

Abstract: An animal physical activity tracking device is adapted for contacting with a skin of an animal. The device comprises a substrate for contacting the skin, a sensing module disposed on the substrate, a communication module disposed on the substrate and a control module disposed on the substrate. The sensing module comprises a skin sensing module for sensing the skin to generate a dermatoglyphic signal, and a physiological sensing module for sensing the animal to generate a physiological signal. The control module outputs the dermatoglyphic signal and physiological signal through the communication module.