Abstract: An electronic device includes a display device, which may be fabricated using a described method. The display device includes a glass substrate including a first surface, a second surface opposite the first surface, and a side surface between the first surface and the second surface, an outermost structure on the first surface of the glass substrate and located adjacent to an edge of one side of the glass substrate, and a display area including a plurality of light emitting areas on the first surface of the glass substrate and located farther from the edge of the one side of the glass substrate than the outermost structure is. A minimum distance from the side surface of the glass substrate to the outermost structure is equal to 130 ?m or less.

Abstract: The present invention relates to a method for estimating a geothermal gradient and an apparatus for estimating a geothermal gradient, and provides a method for estimating a geothermal gradient, the method comprising the steps of: calculating, at each of a plurality of points, a seismic wave crustal attenuation characteristic parameter of a seismic wave measured on the basis of the measured seismic wave information, with respect to the plurality of points; deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest excluding the plurality of points on the basis of the artificial neural network relational formula, such that the geothermal gradient is estimated at a low cost by using a highly reliable method.

Abstract: The present invention relates to a method for estimating a geothermal gradient and an apparatus for estimating a geothermal gradient, and provides a method for estimating a geothermal gradient, the method comprising the steps of: calculating, at each of a plurality of points, a seismic wave crustal attenuation characteristic parameter of a seismic wave measured on the basis of the measured seismic wave information, with respect to the plurality of points; deriving an artificial neural network relational formula on the basis of the seismic wave crustal attenuation characteristic parameter; and calculating a geothermal gradient of an area of interest excluding the plurality of points on the basis of the artificial neural network relational formula, such that the geothermal gradient is estimated at a low cost by using a highly reliable method.