Abstract: A hidden patterned structure, applicable to an electronic vaporization device, includes: a base surface; and a plurality of patterned cells protruding from the base surface. Each patterned cell of the plurality of patterned cells includes at least two chamfered surfaces, the at least two chamfered surfaces being at different angles relative to the base surface. At least one patterned surface is formed on at least one chamfered surface of the at least two chamfered surfaces of at least a portion of the plurality of patterned cells. The at least one patterned surface has a different surface roughness and/or is at a different height from a chamfered surface corresponding to the at least one patterned surface.

Abstract: A method for identifying a forest fire special dangerous terrain includes: obtaining raw digital elevation model (DEM) data of a valley and inverse raw DEM data of a ridge in a target area; extracting an elevation difference and a first derivative of a contour line within a preset range of the target area according to the raw DEM data and/or the inverse raw DEM data; calculating a danger level value of the target area based on the elevation difference and the first derivative of the contour line, in which, when the danger level value is greater than a preset threshold, it is determined that the target area is a dangerous terrain of a valley between two mountains or a narrow ridge.

Abstract: A method for evaluating a distribution of infected persons includes: acquiring an area to be processed, and dividing the area into a plurality of cells; acquiring personnel attribute information of each cell in each time window of a historical time period; determining a personnel flow probability from each cell to each other cell according to identifications of persons in each cell in each time window; evaluating, for each cell to be processed, personnel infection information of the cell after a time window according to current personnel infection information of the cell, a personnel flow probability from the cell to each other cell, a personnel flow probability from each other cell to the cell, and a preset epidemic model; and determining a distribution of infected persons in the area after the time window according to the personnel infection information of each cell to be processed after the time window.

Abstract: A method for predicting snowmelt flood is provided. The method includes: acquiring rain and snow fall distribution data in a target area in a preset time period, and extracting precipitation characteristic data according to the rain and snow fall distribution data; acquiring temperature distribution data in the target area, acquiring a target temperature and a corresponding target time according to the temperature distribution data, and determining temperature characteristic data according to the target temperature and the target time; and determining a snowmelt flood risk level in the target area according to the precipitation characteristic data and the temperature characteristic data.