Abstract: A display device comprises a substrate, a semiconductor layer thereon, a first insulating layer on the semiconductor layer, a first conductive layer on the first insulating layer and including a first electrode pattern, a second insulating layer on the first insulating layer and including first and second conductive patterns, a third insulating layer on the second conductive layer, and a display element layer on the third insulating layer and including a first pixel electrode connected to the first conductive pattern through a first via hole, a second pixel electrode connected to the second conductive pattern through a second via hole, and a micro light-emitting element between the pixel electrodes, the first conductive pattern contacting the semiconductor layer through a first contact hole and the first electrode pattern through a second contact hole, and the second conductive pattern overlapping the first electrode pattern to form a first capacitor therewith.

Abstract: Embodiments of the present disclosure relate systems and methods for detecting cognitive decline of a subject using passively obtained data from at least one mobile device. In an exemplary embodiment, a computer-implemented method comprises receiving passively obtained data from at least one mobile device. The method further comprises generating digital biomarker data from the passively obtained data. The method further comprises analyzing the digital biomarker data to determine whether the subject is exhibiting signs of cognitive decline.

Abstract: A display substrate according to the embodiment includes a base material containing chromium and iron, wherein the base material includes a surface portion and a central portion, the surface portion is defined as a depth region from a surface of the base material to a depth of 5 nm in a thickness direction of the base material, and a ratio of chromium atoms to iron atoms (Cr/Fe) of the surface portion is greater than that of the central portion.

Abstract: In an alloy metal plate according to an embodiment, diffraction intensity of a (111) plane of the alloy metal plate is defined as I (111), diffraction intensity of a (200) plane of the alloy metal plate is defined as I (200), diffraction intensity of a (220) plane of the alloy metal plate is defined as I (220), a diffraction intensity ratio of I (200) is defined by the following Equation 1, and a diffraction intensity ratio of I (220) is defined by the following Equation 2. At this time, the A is 0.5 to 0.6, the B is 0.3 to 0.5, and the value A may be larger than a value B. A=I(200)/{1(200)+I(220)+I(111)}??[Equation 1] The diffraction intensity ratio of I (220) is defined by the following Equation 2.

Abstract: Techniques for evaluating the quality of results obtained by a search engine. In an aspect, an evaluation platform utilizes task-level formulation to increase the accuracy of search result quality evaluation. Furthermore, initial queries may be reformulated until search results are deemed to satisfy the task description. Side-by-side comparison of results from multiple search engines is further provided to enhance the sensitivity of evaluation. Alternative aspects provide for collection of behavioral signals for training a classifier to classify the quality of an evaluator's feedback, as may be applied in, e.g., a crowd-sourcing context.