Abstract: The present application relates to creamer comprising vegetable lipids, casein, maltose, phosphates, and allulose.

Abstract: An anode active material for a secondary battery includes a carbon-based active material, and silicon-based active material particles doped with magnesium. At least some of the silicon-based active material particles include pores, and a volume ratio of pores having a diameter of 50 nm or less among the pores is 2% or less based on a total volume of the silicon-based active material particles.

Abstract: The present invention relates to a composition for forming a composite polymer film, a method for preparing the composition for forming a composite polymer film, a composite polymer film and a method for preparing the composite polymer film. The composition for forming a composite polymer film comprises: a fluorine-based polymer solution comprising a fluorine-based polymer; and polyvinylidene fluoride nanoparticles dispersed in the fluorine-based polymer solution. The method for preparing the composition for forming a composite polymer film comprises the steps of: preparing a fluorine-based polymer solution comprising a fluorine-based polymer; and dispersing polyvinylidene fluoride nanoparticles in the fluorine-based polymer solution. The composite polymer film comprises: a polymer matrix formed from a fluorine-based polymer; and polyvinylidene fluoride nanoparticles dispersed in the polymer matrix.

Abstract: The present disclosure relates to an organic electroluminescent compound and an organic electroluminescent device comprising the same. By comprising the compound according to the present disclosure, an organic electroluminescent device having improved driving voltage, power efficiency and/or lifetime characteristics compared to conventional organic electroluminescent devices can be provided.

Abstract: A display device includes a display panel having a folding axis extending in a first direction; and a panel supporter disposed on a surface of the display panel. The panel supporter includes a first layer including a first base resin and first fiber yarns extending in the first direction and dispersed in the first base resin, a second layer disposed on the first layer, the second layer including a second base resin and second fiber yarns extending in a second direction intersecting the first direction and dispersed in the second base resin, and a third layer disposed on the second layer, the third layer including a third base resin and third fiber yarns extending in the first direction and dispersed in the third base resin.

Abstract: A method for predicting performance of a vehicle NVH system based on deep learning is provided. The method includes preprocessing learning data collected for each channel associated with noise and vibration while driving, learning a model forming a correlation function between multiple inputs and multiple outputs corresponding to the preprocessed learning data using an artificial neural network, and predicting performance using a vehicle NVH system model formed through the learned model.

Abstract: A method for predicting performance of a vehicle NVH system based on deep learning is provided. The method includes preprocessing learning data collected for each channel associated with noise and vibration while driving, learning a model forming a correlation function between multiple inputs and multiple outputs corresponding to the preprocessed learning data using an artificial neural network, and predicting performance using a vehicle NVH system model formed through the learned model.