Abstract: The present disclosure relates to an organic compound having the following structure, and an organic light emitting diode (OLED) and an organic light emitting device including the organic compound. The organic compound can be a bipolar compound having a p-type moiety and an n-type moiety and has high energy level and proper energy bandgap for an emissive layer of the OLED. As the organic compound is applied into the emissive layer, the OLED can maximize its luminous properties as holes and electrons are recombined uniformly over the whole area in an emitting material layer (EML).

Abstract: The present invention relates to a naphthalimide sulfonate derivative, and a photoacid generator and a photoresist composition each comprising same and, more specifically, to a naphthalimide sulfonate derivative compound, and a photoacid generator and a photoresist composition each comprising same, wherein the compound has excellent absorbance for light of i-line (365 nm) wavelength, is greatly easy to prepare into a polymerizable composition due to very high solubility in an organic solvent, has good thermal stability, and shows a favorable acid generation rate.

Abstract: A complementary thin film transistor (TFT) includes a substrate and a first TFT and a second TFT disposed on the substrate, wherein a first conductive semiconductor layer of the first TFT and a second gate electrode layer of the second TFT are disposed in the same layer and include the same material.

Abstract: The present disclosure relates to a method for carrying out dose delivery quality assurance for high-precision radiation treatment, in which parameters affecting a pass rate of dose delivery quality assurance can be derived through regression analysis, which is a known statistical analysis method, and a pass rate prediction model capable of predicting each parameter and the pass rate of dose delivery quality assurance can be derived, and accordingly, it can be predicted in advance whether dose delivery quality assurance will be passed according to the parameters through the above prediction model, without repeatedly carrying out dose delivery quality assurance according to a patient's treatment plan, and as a result, the efficiency of dose delivery quality assurance can be enhanced, and the time or capacity required for such quality assurance is reduced, such that radiation treatment for an actual patient can be quickly and precisely carried out.

Abstract: Disclosed is a method of forming an area-selective thin film, the method comprising supplying a nuclear growth retardant to the inside of the chamber in which the substrate is placed, so that the nuclear growth retardant is adsorbed to a non-growth region of the substrate; purging the interior of the chamber; supplying a precursor to the inside of the chamber, so that the precursor is adsorbed to a growth region of the substrate; purging the interior of the chamber; and supplying a reaction material to the inside of the chamber, so that the reaction material reacts with the adsorbed precursor to form the thin film.

Abstract: Disclosed are an apparatus and control method for recommending an application based on a recognized situation of a user of an electronic device by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a driving method thereof. The apparatus control method according to an embodiment of the present disclosure includes applying context information including at least one of environmental information collected through a sensor of the electronic device or a network, or usage information generated by the use of the electronic device to a machine learning based first learning model in response to a user input, and displaying, on a display, a first shortcut related to an application determined on the basis of a result of applying the context information to the first learning model and displaying, on the display, a second shortcut related to a preset application.

Abstract: Presented are an apparatus and a control method, which execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm and recommend a do-not-disturb mode based on a context recognized by an electronic equipment user in a 5G environment connected for the Internet of Things (IoT). An apparatus control method includes collecting user context information including time information and place information from at least one of data stored in a sensor, a communication module, or a memory of an electronic equipment, determining the recommendation of a do-not-disturb mode by applying the user context information to a learning engine, and displaying, on a display, a user interface capable of setting the do-not-disturb mode based on the determination of the recommendation of the do-not-disturb mode.

Abstract: The present invention provides a solid-phase catalyst for decomposing hydrogen peroxide comprising a permanganate salt and a manganese (II) salt. The solid-phase catalyst stays a solid state in the form of nanoparticles at the time of hydrogen peroxide decomposition, and thus can be recovered for reuse and also has an excellent decomposition rate. In the method for producing a solid-phase catalyst for decomposing hydrogen peroxide according to the present invention, a solid-phase catalyst is produced from a solution containing a permanganate salt, a manganese (II) salt, and an organic acid, so that the produced solid-phase catalyst is precipitated as a solid component even after a catalytic reaction, and thus is reusable and environmentally friendly, and cost reduction can be achieved through the simplification of a catalyst production technique.

Abstract: Disclosed are an apparatus and control method for recommending an application based on a recognized situation of a user of an electronic device by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a driving method thereof. The apparatus control method according to an embodiment of the present disclosure includes applying context information including at least one of environmental information collected through a sensor of the electronic device or a network, or usage information generated by the use of the electronic device to a machine learning based first learning model in response to a user input, and displaying, on a display, a first shortcut related to an application determined on the basis of a result of applying the context information to the first learning model and displaying, on the display, a second shortcut related to a preset application.

Abstract: The present invention provides a solid-phase catalyst for decomposing hydrogen peroxide comprising a permanganate salt and a manganese (II) salt. The solid-phase catalyst stays a solid state in the form of nanoparticles at the time of hydrogen peroxide decomposition, and thus can be recovered for reuse and also has an excellent decomposition rate. In the method for producing a solid-phase catalyst for decomposing hydrogen peroxide according to the present invention, a solid-phase catalyst is produced from a solution containing a permanganate salt, a manganese (II) salt, and an organic acid, so that the produced solid-phase catalyst is precipitated as a solid component even after a catalytic reaction, and thus is reusable and environmentally friendly, and cost reduction can be achieved through the simplification of a catalyst production technique.

Abstract: The present invention relates to a pharmaceutical composition for preventing and treating an inflammatory disease, including a mixture of extracts from Trachelospermi Caulis and Paeonia Suffruticosa Andrews as an active ingredient and method for preparing the same. Also, a quasi-drug composition, a health functional food composition and a cosmetic composition, all based on the mixture, are provided for preventing or improving inflammation. In addition, the present invention relates to a method for treating an inflammatory disease by administering the pharmaceutical composition to a subject suspected of having the inflammatory disease. Containing the extract mixture, the composition exhibits excellent anti-inflammatory activity and edema-suppressing activity, compared to individual extracts, and thus can be applied to the prevention, treatment or improvement of an inflammatory disease.

Abstract: The present invention relates to a pharmaceutical composition for preventing and treating an inflammatory disease, including a mixture of extracts from Trachelospermi Caulis and Paeonia Suffruticosa Andrews as an active ingredient and method for preparing the same. Also, a quasi-drug composition, a health functional food composition and a cosmetic composition, all based on the mixture, are provided for preventing or improving inflammation. In addition, the present invention relates to a method for treating an inflammatory disease by administering the pharmaceutical composition to a subject suspected of having the inflammatory disease. Containing the extract mixture, the composition exhibits excellent anti-inflammatory activity and edema-suppressing activity, compared to individual extracts, and thus can be applied to the prevention, treatment or improvement of an inflammatory disease.