2篇
您的检索式：作者名="Jaehee Shin"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Synergistic stimulation of surface topography and biphasic electric current promotes muscle regeneration显示文摘Developing a universal culture platform that manipulates cell fate is one of the most important tasks in the investigation of the role of the cellular microenvironment.This study focuses on the application of topographical and electrical field stimuli to human myogenic precursor cell(hMPC)cultures to assess the influences of the adherent direction,proliferation,and differentiation,and induce preconditioning-induced therapeutic benefits.First,a topographical surface of commercially available culture dishes was achieved by femtosecond laser texturing.The detachable biphasic electrical current system was then applied to the hMPCs cultured on laser-textured culture dishes.Laser-textured topographies were remarkably effective in inducing the assembly of hMPC myotubes by enhancing the orientation of adherent hMPCs compared with flat surfaces.Furthermore,electrical field stimulation through laser-textured topographies was found to promote the expression of myogenic regulatory factors compared with nonstimulated cells.As such,we successfully demonstrated that the combined stimulation of topographical and electrical cues could effectively enhance the myogenic maturation of hMPCs in a surface spatial and electrical field-dependent manner,thus providing the basis for therapeutic strategies. | Indong Jun Na Li Jaehee Shin Jaeho Park Young Jun Kim Hojeong Jeon Hyuk Choi Jae-Gu Cho Byoung Chan Choi Hyung-Seop Han Jae-Jun Song | 2022 | Bioactive Materials2022，7，5： | 0 |
| 2 | ASL Recognition by the Layered Learning Model Using Clustered Groups显示文摘American Sign Language(ASL)images can be used as a communication tool by determining numbers and letters using the shape of the fingers.Particularly,ASL can have an key role in communication for hearing-impaired persons and conveying information to other persons,because sign language is their only channel of expression.Representative ASL recognition methods primarily adopt images,sensors,and pose-based recognition techniques,and employ various gestures together with hand-shapes.This study briefly reviews these attempts at ASL recognition and provides an improved ASL classification model that attempts to develop a deep learning method with meta-layers.In the proposed model,the collected ASL images were clustered based on similarities in shape,and clustered group classification was first performed,followed by reclassification within the group.The experiments were conducted with various groups using different learning layers to improve the accuracy of individual image recognition.After selecting the optimized group,we proposed a meta-layered learning model with the highest recognition rate using a deep learning method of image processing.The proposed model exhibited an improved performance compared with the general classification model. | Jungsoo Shin Jaehee Jung | 2023 | Computer Systems Science & Engineering2023，45，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员