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Hai Yan Zhang,Yingxi Lin,Danfeng Zhang,Wenguang Wang,Yuxiong Xing,Jin Lin,Haoqun Hong,Chunhui Li 한국물리학회 2016 Current Applied Physics Vol.16 No.12
Heat dissipation from light-emitting diodes (LEDs) has become a serious problem because of the LEDs' high luminosity and power. This problem could be solved by improving the dissipation efficiency of each LED system component. A microwave-reduced graphene nanosheet/silicone (GN/silicone) composite with a high thermal conductivity and stability was prepared by mechanical blending. The thermal conductivity of the composite reaches 2.7 W/(m K) with only 1.5 wt% loading, and is 12 times higher than the pure silicone matrix. When used as a thermal interface material between high-power LED chip module substrates and heat sinks, the thermal conductive GN/silicone composite could decrease the temperature difference between the substrate and shell. It could also improve the system heat transfer efficiency. The temperature gap between the heat slug and the heat sink was less than 2 C with a 1.5 wt% loading of GNs.
Hai-Long Xing,Dong-Hai Li,Juan Li,Cai-Hong Zhang 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.4
In this paper, the sliding mode dynamic disturbance decoupling tracking control method based on thelinear extended state observer (LESO) is proposed for a class of square multivariable nonlinear uncertain system. The model plant contains the known linear dynamics, the unknown nonlinear dynamics and the internal and externaldisturbances, and the various input-output pairs are interacted. The system states are not available for measurement. An improved LESO is developed. The leading feature which is different from the typical ESO lies in that itsextended state does not contain the known linear dynamics. The improved LESO can guarantee the error variablesto be uniformly ultimately bounded with respect to a ball whose radius is a function of design parameters. So thisball radius can be arbitrarily as small as desired by tuning design parameters. And we give a simple method by whichthe gain parameters of LESO can be computed easily. This estimation to the total disturbance of the original systemis introduced into the sliding mode control design to complete disturbance rejection and decoupling. Rigorousstability analysis shows that the system output can track the desired signal closely. Finally, a class of mass–spring–damper system is taken to make the numerical simulation analysis to illustrate the effectiveness of the proposedcontrol method.
The Study of Pilot Process of Separation and Purification of Catechin Using Wood Fiber Resin
Xing-hai Zhang,Jin-wei Xu,Yue-fei Wang,Yin Gao,You-ying Tu 한국차학회 2015 한국차학회지 Vol.- No.S
This paper studies the pilot production of tea polyphenol (TP) from membrane filtered tea extract using wood fiber resin. We extract, isolate and purify TP using ultrasonic wave extraction, ultrafiltration membrane and wood fiber resin column chromatography techniques. We then use high performance liquid chromatography (HPLC) to filter optimal parameters and get the final product using spray drying method. The results show that after above process the content of caffeine, EGCg and catechin in 40% eluent is 0.607%, 60.7%, 86.95% separately and the low caffeine high catechin procuct yield rate is 7.0%. While in 10% eluent the content of caffeine, EGCg and catechin is 26.6%, 16.5%, 23.7% separately, and the high caffeine low catechin product yield rate is 7.3%. So the total summed yield rate is 14.3%. The pilot process may provide reference for future green TP production.
Bao-Xiang Zhang,Gang Ding,Jun-Cheng Lyu,Hai-Bo Liu,Dian-Cai Zhang,Dian-Cai Zhang,Xing-Jie Bi,Zhi-Wu Duan 연세대학교의과대학 2015 Yonsei medical journal Vol.56 No.1
Purpose: Cutaneous lymphocyte-associated antigen (CLA)-expressing CD8+T cells have been known to play an important role in the pathogenesis of atopic dermatitis(AD). However, the mechanisms underlying the loss of self-tolerance remainunclear. Regulatory T cells (Tregs) play a key role in the development of homeostasisin the immune system. We, therefore, hypothesized that a reduced ability of Tregs to inhibit autologous CD8+CLA+T cells might be underlying mechanism in AD. Materials and Methods: CD8+CLA+T cells and Tregs were obtained from the peripheral blood of AD patients and control volunteers. The frequenciesof CD8+CLA+T cells were evaluated. The proliferative responses of CD8+CLA+T cells were assessed by flow cytometry, and the levels of transforming growth factor-β1 (TGF-β1) and interleukin-10 (IL-10) in culture supernatants were detected by enzyme-linked immunosorbent assay. Results: Our results revealed higher frequency and increased expression of perforin and granzyme-B in peripheralCD8+CLA+T cells in AD, and lower inhibitory ability of Tregs on proliferation of CD8+CLA+T cells in AD. Meanwhile, the levels of TGF-β1 produced by Tregs were significantly lower in AD, and anti-TGF-β1 abolished such suppression. Conclusion: The attenuated inhibitory ability of Tregs on hyper-activated autologousCD8+CLA+T cells, mediated by TGF-β1, plays an important role in the pathogenesis of AD.
Investigation of the SHM-oriented model and dynamic characteristics of a super-tall building
Hai-Bei Xiong,Ji-Xing Cao,Feng-Liang Zhang,Xiang Ou,Chen-Jie Chen 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.23 No.3
Shanghai Tower is a 632-meter super high-rise building located in an area with wind and active earthquake. A sophisticated structural health monitoring (SHM) system consisting of more than 400 sensors has been built to carry out a long-term monitoring for its operational safety. In this paper, a reduced-order model including 31 elements was generated from a full model of this super tall building. An iterative regularized matrix method was proposed to tune the system parameters, making the dynamic characteristic of the reduced-order model be consistent with those in the full model. The updating reduced-order model can be regarded as a benchmark model for further analysis. A long-term monitoring for structural dynamic characteristics of Shanghai Tower under different construction stages was also investigated. The identified results, including natural frequency and damping ratio, were discussed. Based on the data collected from the SHM system, the dynamic characteristics of the whole structure was investigated. Compared with the result of the finite element model, a good agreement can be observed. The result provides a valuable reference for examining the evolution of future dynamic characteristics of this super tall building.
Xing Chun Wang,Xiao Yi Bi,Pei Shi Sun,Jin Quan Chen,Ping Zou,Xiao Ming Ma,Jing Zhang,Hai Yu Wang,Xiao Yi Xu 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.5
This study uses microbial methods to research the influence of oxygen (O2) content on the removal efficiency of sulfur dioxide (SO2) and nitrogen oxides (NOx) in a tandem twin-towers desulfurization and denitrification process system. Oxygen can play a significant role in biotrickling towers. Other important factors had already been optimized prior to the study, including inlet concentration, gas flow rate, and temperature. SO2 and NOx were prepared by a chemical method. A gas flow meter was used to regulate nitrogen (N2) that had been stored in steel cylinders. In this way, the O2 content was adjusted in the biotrickling towers by controlling the N2 flow rate. Five gradients of O2 content were selected for investigation, namely 4, 8, 12, 16, and 20%. Results indicated that the SO2 removal efficiency from mixed gas (SO2 and NOx) can reach 100%, from all of the five O2 gradients, in biotrickling towers. In a tandem twin-towers desulfurization and denitrification process system, the NOx removal efficiency and the inlet concentration of nitrogen dioxide (NO2) gradually increased as the O2 content increased. Specifically, the average removal efficiency of NOx increased from 49.28 to 80.85% as the O2 content changed from 4 to 20%. The oxygen levels influenced the removal of NOx but the SO2 removal efficiency in mixed gas was always stable.
ZHANG Xing-yuan,CHEN Minye,XU Hai-rong,LI Pei-qi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
Binary-tree support vector machine (SVM) has such advantages as small repeated operation workload, fast classification speed and dead zone inexistence, but the structural design can influence the classification accuracy thereof. In order to rationally design the structure of the binary-tress SVM, a multi-classification algorithm (AHP-BSVM) combining analytic hierarchy process (AHP) and binary-tree SVM is proposed in this paper. Firstly, the analytic hierarchy process is adopted to establish the evaluation system model so as to comprehensively evaluate multiple influencing factors for determining the weight values of various faults; then, the faults are ordered by the weight values and the structure of the binary-tree SVM is determined according to the fault sequence; finally, the proposed algorithm is adopted for fault diagnosis and analysis. The simulation experiment shows: compared with other algorithms, the proposed algorithm has higher recognition accuracy and higher classification accuracy, and is applicable to multi-classification, thus having good promotion prospect.
Hua-Xing Huang,Liang-Lan Shen,Hai-Yan Huang,Li-Hua Zhao,Feng Xu,Dong-Mei Zhang,Xiu-Lin Zhang,Tong Chen,Xue-Qin Wang,Yan Xie,Jian-Bin Su 대한당뇨병학회 2021 Diabetes and Metabolism Journal Vol.45 No.6
Background: Type 2 diabetes mellitus (T2DM) is characterized by elevated fasting glucagon and impaired suppression of postprandial glucagon secretion, which may participate in diabetic complications. Therefore, we investigated the associations of plasma glucagon with estimated glomerular filtration rate (eGFR), albuminuria and diabetic kidney disease (DKD) in T2DM patients.Methods: Fasting glucagon and postchallenge glucagon (assessed by area under the glucagon curve [AUCgla]) levels were determined during oral glucose tolerance tests. Patients with an eGFR <60 mL/min/1.73 m2 and/or a urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g who presented with diabetic retinopathy were identified as having DKD.Results: Of the 2,436 recruited patients, fasting glucagon was correlated with eGFR and UACR (r=–0.112 and r=0.157, respectively; P<0.001), and AUCgla was also correlated with eGFR and UACR (r=–0.267 and r=0.234, respectively; P<0.001). Moreover, 31.7% (n=771) presented with DKD; the prevalence of DKD was 27.3%, 27.6%, 32.5%, and 39.2% in the first (Q1), second (Q2), third (Q3), and fourth quartile (Q4) of fasting glucagon, respectively; and the corresponding prevalence for AUCgla was 25.9%, 22.7%, 33.7%, and 44.4%, respectively. Furthermore, after adjusting for other clinical covariates, the adjusted odds ratios (ORs; 95% confidence intervals) for DKD in Q2, Q3, and Q4 versus Q1 of fasting glucagon were 0.946 (0.697 to 1.284), 1.209 (0.895 to 1.634), and 1.521 (1.129 to 2.049), respectively; the corresponding ORs of AUCgla were 0.825 (0.611 to 1.114), 1.323 (0.989 to 1.769), and 2.066 (1.546 to 2.760), respectively. Additionally, when we restricted our analysis in patients with glycosylated hemoglobin <7.0% (n=471), we found fasting glucagon and AUCgla were still independently associated with DKD.Conclusion: Both increased fasting and postchallenge glucagon levels were independently associated with DKD in T2DM patients.