A method, system and computer-readable medium are presented for computer-based supervised classification of digital documents that can exclusively identify an optimal category for the single class model by dividing a calculated score of each category into groups and can further predict whether it will be subjected to human examination and whether feedback learning should be performed. A trigger is positioned within the housing and is axially aligned with the longitudinal axis. The pivot arms move the planting units between a horizontal working configuration and a vertical transport configuration. The operation circuit selects cells by activating bit andor word lines, detects a resistance state of the nanotube fabric article of a selected memory cell, and adjusts electrical stimulus applied to the cell to controllably induce a selected resistance state in the nanotube fabric article. Additionally, the compound of the present invention has little risk of side effects on the urinary system, the circulatory system and the digestive system, and exhibits excellent pharmacokinetics, such as oral absorbability etc.