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Zhi Hao,Junqi Shen,Xiang Sheng,Zong Shen,Le Yang,Xuefeng Lu,Zhu Luo,Qiang Zheng 한국섬유공학회 2020 Fibers and polymers Vol.21 No.2
This paper details a new method for improving the interfacial bonding between PA66 short fiber (PSF) and natural rubber (NR) by reaction of the methacrylic acid (MAA)-grafting-modified PSF with rubber during vulcanization. Carboncarbon double bonds introduced to the SF surface by MAA grafting were opened, and a vulcanization reaction occurred between the modified PSF and rubber in the presence of sulfur. The chemical reactions were verified by FTIR and XPS. The processing rheological behaviors of the compounded composites were investigated by a rubber processing analyzer (RPA). The morphology of modified PSF was characterized by AFM and SEM. The improved interfacial bonding was confirmed by DMA, which enhanced deformational stress at definite elongation of the NR/PSF composites. The volume concentration of the MAA solution for grafting on the SF surface had a great influence on the interfacial bonding and mechanical properties of the composites; when the volume concentration was 30 %, the modified PSF-reinforced NR/CB had the best interfacial bonding and mechanical properties.
Random loading identification of multi-input-multi-output structure
Zhi, Hao,Lin, Jiahao Techno-Press 2000 Structural Engineering and Mechanics, An Int'l Jou Vol.10 No.4
Random loading identification has long been a difficult problem for Multi-Input-Multi-Output (MIMO) structure. In this paper, the Pseudo Excitation Method (PEM), which is an exact and efficient method for computing the structural random response, is extended inversely to identify the excitation power spectral densities (PSD). This identified method, named the Inverse Pseudo Excitation Method (IPEM), resembles the general dynamic loading identification in the frequency domain, and can be used to identify the definite or random excitations of complex structures in a similar way. Numerical simulations are used to reveal the the difficulties in such problems, and the results of some numerical analysis are discussed, which may be very useful in the setting up and processing of experimental data so as to obtain reasonable predictions of the input loading from the selected structural responses.
Analysis and Suppression of Mutual Inductive Couplings of the CM EMI Filter in Motor Drive
Zhihao Fang,Dong Jiang,Zaidong Hu 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
This paper gives an analysis of mutual inductive couplings of the CM EMI filter in motor drive. First, the high-frequency model of L-C EMI filter is proposed, then, equivalent decoupling circuits are established based on the method of transferring controlled voltage source. It is concluded by calculation that some mutual inductive couplings have an effect on the transfer gain of EMI filter in the whole frequency spectrum of EMI current. While some mutual inductive couplings influence the transfer gain only at high frequency range. Finally, in order to drop the EMI current below the standard, the combination of an optimized EMI filter and an advanced method are adopted.
Zhihao Yang,Ying Pan,Jiong Chen,Hao Zhang,Hua Wei,Zufang Wu,Lianliang Liu 한국식품과학회 2019 Food Science and Biotechnology Vol.28 No.6
Bacterial infection is the most common cause ofsepsis. In this study, Phascolosoma esculenta oligosaccharides(PEOs) were prepared to evaluate their resistanceagainst E. coli-induced sepsis. HPLC–MS and FT-IRindicated that PEOs were composed of D-glucosyl, Dgalactosyl,with small amount of D-mannosyl, D-arabinosyland residues with a- and b-type linkage. Different dosageadministrations of PEOs for 30 days significantly improvedICR mice survival rate and bacterial clearance ability(P\0.01) after as E. coli injection. Moreover, PEOs significantlyreduced the secretion of IL-1b and TNF-a andenhanced that of IL-10 in sepsis mice, enhanced theantioxidant enzyme activities and total antioxidant capacity,decreased MDA level in the serum, and upregulatedmRNA expression of Nrf2 (P\0.01). All these resultsindicate that PEOs could improve the resistance of ICRmice against E. coli-induced sepsis that attributed to antiinflammatoryand anti-oxidative stress.
Zhihao Chen,Yijie Jin,Wenzhong Yang,Bin Xu,Yun Chen,Xiaoshuang Yin,Ying Liu 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.75 No.-
Polypyrrole (PPy) coatings were successfully electrosynthesized on the carbon steel by embedding SnO2and Sb-SnO2 nanoparticles (NPs). The associated structural, morphology, hydrophobic, physicalproperties, anti-corrosion and self-healing performance of these coatings were systematically studiedby several tests. XRD results showed that SnO2 had a tetragonal rutile structure and the lattice parametersindicated that Sb ions were successful substituted into SnO2 lattice. The average size of SnO2 NPs wasdecreased by the incorporation of Sb-SnO2 NPs, which were found through TEM images. The contactangle test showed that the hydrophobic of PPy coatings was greatly enhanced by the incorporation of Sb-SnO2 NPs. SEM results revealed that Sb-SnO2/PPy coating exhibited a more compact and uniform surfacethan SnO2/PPy coating, hence the physical barrier effect was significantly strengthened. Theelectrochemical measurements confirmed the excellent anti-corrosion and self-healing ability of Sb-SnO2/PPy coating for a long immersion time in HCl solution. The superior anti-corrosion performance ofSb-SnO2/PPy coating was ascribed to the synergistic effects of the anodic protection combined with theself-healing effect, the excellent physical barrier effect with compact, smooth and hydrophobic coatingsurface as well as the formation of p-n junction with decreased charge transfer.
Zhihao Zheng,Pan He,Jiashun Ren,Yu Chen 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.7
To evaluate the wireless network condition on moving medial vehicles and make reasonable judgment among multiple network channels, an automatic network judgment method is presented for unstable communication environment based on adaptive network speed analysis and prediction method. Historical network observation data are collected; time series analysis method and ARMA model are employed to build prediction model using historical data statistics with periodical update mechanism. Predicted network speed value is then compared with real speed value and a criterion to identify the condition of network is summarized from comparison result analysis. Experiments are conducted in both normal network and interfered network situations. Empirical studies results show that the adaptive prediction method could be used for wireless network speed prediction on moving vehicles. Under different network environments, the fit value of each group of data varies and this value could be used for network problem identification.
Zhihao Ding,Guang-Xi Hu,Ran Liu,Ling-Li Wang,Shuyan Hu,Xing Zhou 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.8
Analytical models for the electric potential, threshold voltage and drain current of long-channel junctionless (JL) double-gate (DG) field-effect transistors (FET) are presented. A regional method is used to solve the Poisson equation under different gate biases, and the electric potential is obtained. With the potential model, an analytical expression for the threshold voltage is achieved. An expression for the drain current is derived from the potential model. The analytical results are compared with simulations, and excellent agreements are observed. The models accurately describe the characteristics of JLDG FETs, and they are very helpful for the design and optimization of devices.
Zhihao Zeng,Xiaowu Chen,Dajian Zhu,Zhongran Luo,Min Yang 연세대학교의과대학 2017 Yonsei medical journal Vol.58 No.4
Purpose: The microRNA-34 (miR-34) family is important in tumor regulation. This study aimed to investigate the association of circulating miR-34 family proteins with clinicopathological features and their prognostic value in triple-negative breast cancer (TNBC) patients. Materials and Methods: In this cohort study, 173 TNBC patients admitted to First People’s Hospital of Shunde from May 1, 2009 to April 30, 2013 were enrolled. Meanwhile, 75 age-matched healthy women volunteers were identified as healthy controls (HCs). We examined the expression of miR-34 family (miR-34a/b/c) proteins in plasma collected from TNBC patients before any treatmentwas performed and from age-matched HCs using qPCR methods. Results: The expressions of miR-34a/34b/34c were significantly lower in TNBC patients than in HC (p<0.001, p=0.027, p<0.001, respectively). miR-34a was correlated with tumor grade (p=0.038), lymph node positive (p=0.027), distant metastasis (p=0.004), and surgery (p=0.023); miR-34b was correlated with lymph node positivity (p=0.027); and miR-34c was correlated with tumor grade (p=0.017) and distant metastasis (p<0.001). Kaplan-Meier curve analysis displayed low expression of miR-34a as associated with worse overall survival (OS) (p=0.011), as well as miR-34c low expression (p=0.002). In addition, univariate and multivariate Cox proportional hazards regression was performed, and low expression of miR-34c (p=0.011) was found to be an independent risk factor for OS, as well as tumor grade (p=0.013), lymph node positive (p=0.050), and distant metastasis (p=0.021). Conclusion: In conclusion, this study demonstrated reduced miR-34a/c expression is highly associated with tumor progression and indicated worse prognosis. Also, miR-34c was an independent risk factor for OS in TNBC patients.