Abstract: The present invention relates to: a novel peptide that promotes the proliferation and differentiation of myoblasts; and a use thereof. The novel peptide was designed around amino acid sites, binding to a fibromodulin protein, in a portion of myostatin (MSTN) proteins, and then cells of C2C12, which is a mouse myoblast line, were treated with the novel peptide to observe the proliferation and differentiation of the cells and the regeneration of muscle, and it was confirmed that the proliferation and differentiation of myoblasts and the regeneration of muscle increases after the myoblasts are treated with the designed peptide.

Abstract: A method of image processing and classifying target entities with an image is disclosed that may include applying a contrast amplification procedure to a Lightness parameter associated with an input image, to amplify contrast of the input image and obtain an amplified-contrast image. The method may further include de-noising the amplified-contrast image by iteratively performing on the amplified-contrast image a blur correction, an erosion correction, and a dilation correction, to obtain a de-noised image corresponding to the amplified-contrast image. The method may further include determining edges of each of one or more target entities associated with the input image from the de-noised image and identifying the one or more target entities associated with the input image based on the identified edges, to generate a contoured image. The method may further include classifying the one or more target entities into one or more predefined classes, using a classification model.

Abstract: A method for carrying out a closing operation of a closing part device of a vehicle driven by an electric motor drive unit is disclosed. The method has the following steps: ascertaining friction force data that represent a current stiffness of the closing device using a machine learning method that has been trained with reference friction force data from past closing operations as input data, wherein the input data are transmitted to a server apparatus that is configured to ascertain the friction force data using the machine learning method, ascertaining target drive power data, taking the friction force data into consideration, for the drive unit, and operating the drive unit based on the ascertained target drive power data to carry out the closing operation in at least one subsequent closing operation.