Abstract: The present invention relates to a method for memory B cell-specific differentiation induction and to uses thereof and, more specifically, to an anti-CD3 antibody or ligand in a biological sample obtained from and individual, a method for memory B cell-specific differentiation induction comprising a step of treating an anti-CD28 antibody or ligand, and a method for detection a memory B cell which is specific to a specific antigen by using same.

Abstract: The present disclosure relates to a dwarfism animal model carrying an IGF-1 gene mutation and a method for generating the same. According to the present disclosure, the problem that an animal dies immediately after birth is overcome, the majority of phenotypes seen in Laron syndrome patients may be observed in the dwarfism animal model, and the dwarfism animal model has decreased expression of personality genes. Thus, the dwarfism animal model may be effectively used as a dwarfism-related disease model.

Abstract: The present invention includes: a three-dimensional moving image generation module for generating a moving image of an experiment target person; an object extraction module for extracting the experiment target person, separately from a background, from the moving image; an object definition module for defining an object by measuring a length, a size and a weight center of the object and extracting a depth image of the object; a behaviour pattern definition module for defining a basic behaviour pattern of the object by cumulatively analyzing a movement speed and movement time of the weight center of the corresponding object, and changes in the extracted depth data when the object defined by the object definition module is extracted by the object extraction module; and a behaviour pattern analysis module for analyzing and identifying a lasting time and a frequency of the basic behaviour pattern with respect to the object.

Abstract: The present invention includes: a three-dimensional moving image generation module for generating a moving image of an experiment target person; an object extraction module for extracting the experiment target person, separately from a background, from the moving image; an object definition module for defining an object by measuring a length, a size and a weight center of the object and extracting a depth image of the object; a behaviour pattern definition module for defining a basic behaviour pattern of the object by cumulatively analyzing a movement speed and movement time of the weight center of the corresponding object, and changes in the extracted depth data when the object defined by the object definition module is extracted by the object extraction module; and a behaviour pattern analysis module for analyzing and identifying a lasting time and a frequency of the basic behaviour pattern with respect to the object.