Abstract: A display device is provided. The display device includes a substrate including a display area, an opening area disposed in the display area, a first non-display area at least partially surrounding the display area, and a second non-display area at least partially surrounding the opening area. A display layer is disposed in the display area. An encapsulating substrate covers the display layer and has an opening corresponding to the opening area. A sealing portion is disposed between the encapsulating substrate and the substrate. The sealing portion is disposed in the opening area and connects the encapsulating substrate to the substrate. A partition wall is disposed between the substrate and the sealing portion.

Abstract: Disclosed are pathogenic mechanisms in pulmonary hypertension and molecular inhibitors of the same. Particularly, GSTP1 (glutathione S-transferase P1) have been demonstrated as having a role in regulating the endothelial ISCU function in pulmonary hypertension. Accordingly, methods for treating pulmonary hypertension in a subject in need thereof comprising administering a therapeutically effective amount of a pharmaceutical composition that inhibits glutathione S-transferase P (GSTP1) and/or increasing ISCU expression are disclosed. The GSTP1 inhibitor can comprise a piperlongumine analog, such as BRD-K34222889, or a derivative thereof.

Abstract: A portable device for outputting virtual vibration is provided. The portable device includes a controller configured to generate a control signal corresponding to a detected event. The portable device also includes vibrators configured to output virtual vibration based on the control signal.

Abstract: Methods and kits that use miRNA expression to predict the development of brain metastases in non-small cell lung cancer patients are disclosed.

Abstract: The present invention relates to a method and system for the evaluation of differential dependencies of a set of discrete random variables between two conditions. In some embodiments, the system and method compares two conditions by evaluating the probability distributions of the likely dependency networks from random variables.

Abstract: Methods and kits that use miRNA expression to predict the development of brain metastases in non-small cell lung cancer patients are disclosed.

Abstract: Relatedness between genes is quantified by constructing nonlinear models predicting gene expression. Effectiveness of the model is evaluated to provide a measurement of the relatedness of genes associated with the model. Various types of models, including full-logic or neural networks can be constructed. A graphical user interface presents results of the analysis to allow evaluation by a user. Each gene's contribution to the measurement of relatedness can be shown on a graph, and graphical representations of models used to predict gene expression can be displayed.