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Liu Feifei,Li Diancheng,Xin Yuwei,Liu Fang,Li Wenxue,Zhu Jiaan 대한영상의학회 2022 Korean Journal of Radiology Vol.23 No.2
Objective: Viscoelasticity is an essential feature of nerves, although little is known about their viscous properties. The discovery of shear wave dispersion (SWD) imaging has presented a new approach for the non-invasive evaluation of tissue viscosity. The present study investigated the feasibility of using SWD imaging to evaluate diabetic neuropathy using the sciatic nerve in a diabetic rat model. Materials and Methods: This study included 11 diabetic rats in the diabetic group and 12 healthy rats in the control group. Bilateral sciatic nerves were evaluated 3 months after treatment with streptozotocin. We measured the nerve cross-sectional area (CSA), nerve stiffness using shear wave elastography (SWE), and nerve viscosity using SWD imaging. The motor nerve conduction velocity (MNCV) was also measured. These four indicators and the histology of the sciatic nerves were then compared between the two groups. The performance of CSA, SWE, and SWD imaging in distinguishing the two groups was assessed using receiver operating characteristic (ROC) analysis. Results: Nerve CSA, stiffness, and viscosity in the diabetic group was significantly higher than those in the control group (all p < 0.05). The results also revealed a significantly lower MNCV in the diabetic group (p = 0.005). Additionally, the density of myelinated fibers was significantly lower in the diabetic group (p = 0.004). The average thickness of the myelin sheath was also lower in the diabetic group (p = 0.012). The area under the ROC curve for distinguishing the diabetic neuropathy group from the control group was 0.876 for SWD imaging, which was significantly greater than 0.677 for CSA (p = 0.030) and 0.705 for SWE (p = 0.035). Conclusion: Sciatic nerve viscosity measured using SWD imaging was significantly higher in diabetic rats. The viscosity measured using SWD imaging performed well in distinguishing the diabetic neuropathy group from the control group. Therefore, SWD imaging may be a promising method for the evaluation of diabetic neuropathy.
Bio-inspired Micro Pump Model Based on the Movement Pattern of Sperm
Feifei Liu,Xiaofei Ren,Shoushui Wei,Zhiping Liu 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11
Micro pumps play important roles in microfluidic system. Biologically inspired actuation mechanisms have great advantages in the micro pump design. This work aims to develop a numerical model for bio-inspired micro pump based on the specific and genuine movement pattern of the sperm. The model also employs a modified immersed boundary-lattice Boltzmann method. In the model, an elastic film is used to mimic a sperm moving with its head fixed. The fluctuation vibration of the film could then drive the static fluid to move. The modified immersed boundary-lattice Boltzmann method directly introduces the velocity information of the film into the traditional lattice Boltzmann equation, which improve the computational efficiency. Pressure distribution, streamlines and the flow rate curves are used to analyze the flow field dynamic process of the model. The effects of the model parameters (e.g. frequency, kinematic viscosity, amplitude and wavelength) on the stable flow rate are also studied comprehensively.
Ethanol dry reforming over ordered mesoporous Co-Zn composite oxide for syngas production
Feifei Li,Jiale Dong,Mingyue Wang,Xingtao Lin,Weijie Cai,Xianyun Liu 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.7
This work is mainly concerned with the synthesis of Co-Zn nanocomposites by employing MCM-41 silicaas hard template (CoZnO-HT) and its catalytic behavior toward to CO2 reforming with ethanol. The physicochemicalfeatures of the as-prepared catalysts were probed through various characterization techniques, including XRD, TEM,BET, H2-TPR, and XPS. Indeed, CoZnO-HT catalyst possessed a highly ordered mesostructure with similarity toMCM-41 template and a higher specific surface area (304m2/g) compared to the reference CoZnO-C sample (4.75m2/g) prepared by the conventional impregnation method. Consequently, CoZnO-HT exhibited good performance at lowtemperature, and full ethanol conversion could be achieved at 550 oC as well as the negligible formation of byproductacetone. In addition, this catalyst depicted good stability and no obvious deactivation was observed after 40 h time onstream tests under the stoichiometric feed ratio. Indeed, superior specific surface area and efficient mass transportwithin the mesopores might be critical factors assigned to better activity and stability for CoZnO-HT.
Jianbo Liu,Liming Xu,Feifei Zhu,Shouhao Jia 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.5
It has been proven that surfactants used in the remediation of petroleum hydrocarbon contaminated soil have great application potential. In this study, the effects of five surfactants (SDBS, Tween80, Tween60, rhamnolipid and TRS-1) on leaching of petroleum hydrocarbons from soil were investigated through orthogonal experiments, and petroleum hydrocarbon components were analyzed by GC/MS. The effects of surfactants on the degradation of petroleum hydrocarbon were analyzed by the changes of microbial growth curve and surface hydrophobicity. The results showed that surfactant type, temperature and surfactant concentration had significant effects on the removal rate of petroleum hydrocarbon. Tween80, rhamnolipid and TRS-1 have good bio-friendliness and a high removal rate of petroleum hydrocarbons (up to 65%), suitable for the restoration of the soil used in the experiment And Surfactants exhibited a higher removal rate for small molecules and petroleum hydrocarbons with odd carbon atoms. Surfactants have a certain modification effect on the surface of relatively hydrophilic bacteria under the initial conditions, making their surface properties develop in the direction of enhanced hydrophobicity, and the hydrophobicity has increased from less than 20% to about 40%.
Fengwei Tian,Feifei Chi,Gang Wang,Xiaoming Liu,Qiuxiang Zhang,Yongquan Chen,Hao Zhang,Wei Chen 한국미생물학회 2015 The journal of microbiology Vol.53 No.12
Lactobacillus rhamnosus CCFM1107 was screened for high antioxidative activity from 55 lactobacilli. The present study attempted to explore the protective properties of L. rhamnosus CCFM1107 in alcoholic liver injury. A mouse model was induced by orally feeding alcohol when simultaneously treated with L. rhamnosus CCFM1107, the drug Hu-Gan- Pian (HGP), L. rhamnosus GG (LGG), and L. plantarum CCFM1112 for 3 months. Biochemical analysis was performed for both serum and liver homogenate. Detailed intestinal flora and histological analyses were also carried out. Our results indicated that the administration of L. rhamnosus CCFM1107 significantly inhibited the increase in the levels of serum aminotransferase and endotoxin, as well as the levels of triglyceride (TG) and cholesterol (CHO) in the serum and in the liver. Glutathione (GSH), glutathione peroxidase (GSH-Px) and superoxide dismutase (SOD) were elevated while the levels of malondialdehyde (MDA) were decreased. The enteric dysbiosis caused by alcohol was restored by increasing the numbers of both lactobacilli and bifidobacteria and decreasing the numbers of both enterococci and enterobacter. Histological analysis confirmed the protective effect of L. rhamnosus CCFM1107. Compared with the other lactobacilli and to the drug Hu-Gan-Pian, there is a high chance that L. rhamnosus CCFM1107 provides protective effects on alcoholic liver injury by reducing oxidative stress and restoring the intestinal flora.
Joint Optimization Method Combining Genetic Algorithm and Numerical Algorithm Based on MATLAB
Yanhua Guo,Feifei Liu,Ning Zhang,Tao Wang 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.11
A two-bar plane truss is builtin MATLAB based on mathematical model. Then the authors use genetic algorithm toolbox to solve this problem. The parametric truss model is set up in the finite element analysis software ANSYS. It is analyzed by first-order algorithm. The comparison of two kinds results show the pure genetic algorithm doesn’t always have an advantage over other algorithms. In the end, a joint optimization method is put forward on the basis of genetic algorithm. It combines genetic algorithm based on MATLAB toolbox and numerical algorithm based on quasi-Newton method. This method is illustrated by the numerical example of the two-bar plane truss. The results show this joint optimization method can get the global optimal solution of this problem every time.