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3 results on '"Ya Jie Liu"'

1. Non-Thermal Bio-Compatible Plasma Induces Osteogenic Differentiation of Human Mesenchymal Stem/Stromal Cells With ROS-Induced Activation of MAPK

Author

Ying Li, Ya Jie Liu, Shu Bin Wang, Eun Ha Choi, and Ihn Han

Subjects
Non-thermal bio-compatible plasma, plasma applications, reactive species, stem cell, tissue engineering, osteogenic differentiation, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

The application of non-thermal bio-compatible plasma (NBP) for stem cell differentiation is promising in tissue engineering. However, the differentiation efficiency of NBP treatment on various types of human tissue-derived stem cells and the underlying mechanisms is yet understood. This study is the first time to investigate the role of NBP in inducing differentiation and its potential molecular mechanism by using human bone marrow-derived stem cells (hBMSCs) and human periodontal ligament-derived stem cells (hPDLSCs). Our results showed that NBP promote osteogenic differentiation of hPDLSCs more effectively than hBMSCs under the same treatment condition, indicating a tissue-dependent manner of NBP interacts with stem cells. Furthermore, an increase of intracellular reactive oxygen species (ROS) production of hPDLSCs and antioxidant enzymes activation was observed after NBP treatment. Particularly, mitogen-activated protein kinases (MAPKs) level was also increased and in consistent with ROS level increase. Taken together, this study revealed that with NBP induction, hPDLSCs is a more suitable stem cell source than hBMSCs for bone regeneration and tissue engineering, and ROS-induced activation of MAPKs are possibly involved in the osteogenic differentiation process.

Published
2020
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2. A Least Squares Based Parameter Identification of the Mesic Respiratory System Model

Author

Jian-Hua Chen, Xin-Ling Shi, Ya-Jie Liu, and Ji-Hua Feng

Subjects
Least mean square algorithm, Physiological model, Mathematical optimization, Identification (information), Flow curve, Computer science, Estimation theory, Data mining, Respiratory system, computer.software_genre, computer, Least squares
Abstract

A Mesic respiratory system parameter identification is studied in this paper for providing the useful theory and data support in the improvement of human respiratory model accuracy, respiratory disease diagnosis and design of the new ventilator. The Mesic respiratory system model is established based on Simulink platform. The least-square algorithm is then used to do the static and dynamic parameter identification with the theoretical data, clinical data and fitted clinical data. Finally, the validation of the parameter identification is performed by the clinical data. The parameters got by clinical fitting data could reach the physiological characteristics well. The pressure, volume and flow curve is the most similar compared with clinical data. This method provides an efficient way for the identification research of relative models. It is also a supplement of Mesic respiratory system.

Published
2009
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