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      • KCI등재

        The Preparation and Characterization of Ultrafine Fatty Acid Ester/Poly(meta-phenylene isophthalamide) Phase Change Fibers Designed for Thermo-regulating Protective Clothing

        Weiwang Chen,Shunjiang Ni,Wenguo Weng,Ming Fu 한국섬유공학회 2018 Fibers and polymers Vol.19 No.3

        Poly(meta-phenylene isophthalamide, PMIA)-based phase change fibers (PCFs) with fatty acid ester (i.e. HPCMEs) as the functional ingredient were successfully fabricated by emulsion electrospinning. Subsequent characterizations by FE-SEM, TEM, DSC and TGA were performed to investigate their morphology, structure, thermal storage and decomposition behavior, respectively. Experimental results reveal that the fabricated PCFs are randomly arranged and show a good cylindrical structure with fiber diameters ranging from tens to hundreds of nanometers. Most of the HPCMEs are well encapsulated by PMIA sheaths and appear as isolated segments or elongated channels inside the fiber. Given their proper phase change span (30-40 oC), considerable enthalpies, good shape stability and greatly enhanced thermal resistance, the prepared HPCMEs/PMIA PCFs are expected to have wide prospects in thermo-regulating protective clothing and other fields related to thermal energy storage.

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        Research on soft sensing modeling method of gas turbine's difficult-to-measure parameters

        Qiwei Cao,Shiyi Chen,Dongdong Zhang,Wenguo Xiang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.8

        During the operation of a gas turbine, there are many key parameters that are difficult to directly measure or to ensure measurement accuracy, which can only be measured by offline analysis methods. However, the data obtained by offline analysis has a large time lag, and it is difficult to realize real-time monitoring, control and optimization of gas turbines. In recent years, with the widespread application of data-driven methods, data-driven soft sensing technology has become a breakthrough method for online prediction of difficult-to-measure variables. Due to the time-varying nature of the gas turbine operation process, the predictive performance of the offline modeling method will inevitably degrade over time. Therefore, an adaptive soft-sensing multi-level modeling method based on the combination of the just in time learning and the ensemble learning is proposed in this paper. Taking compressor inlet air flow and turbine inlet temperature as examples, the research is carried out and verified by actual operating data. The results verify the effectiveness of the method.

      • Slide Session : OS-GAS-18 ; Gastroenterology : Bahd1: A Gatekeeper to Protect Us from Inflamma-tion-Associated Colon Disease?

        ( Huatuo Zhu ),( Xinyong Wan ),( Wenguo Chen ),( Chaohui Yu ),( Min Yue ),( Yining Dai ),( Lihua Chen ) 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1

        Background: It was recently reported that epigenetics might play an essential role in IBD. Bromo adjacent homology domain 1 (BAHD1), which involved in category of epigenetics maintains homeostasis by promoting heterochromatin formation. Our study aimed to investigate the underlying mechanism of BAHD1 in gut inflammation including IBD, seeking a new therapeutic target for the inflammation-associated colon disease. Methods: Experimental colitis was induced in C57BL/6 mice by dextran sulfate sodium administration. To simulate the intestinal inflammation microenvironment for epithelial cells, Caco-2 cells were exposed to a mixture of LPS, TNF-a, IL-1ß, and IFN-. BAHD1 expression was detected by quantitative PCR(qPCR), western blot and immunohistochemistry in both UC patients and mice model. Small interfering RNA was used to knock down BAHD1 level(siBAHD1) in Caco-2 cells and associated cytokines(CKs) expression were detected by either qPCR or ELISA. Possible mechanism involving in- flammatory pathways activation were addressed by western blot. Results: Murine model of UC-like inflammation was successfully established. And we found that BAHD1 existed in the normal internal crypt and surface epithelial cells ubiquitously. Compared with control group, BAHD1 expression in colon tissue were significantly decreased in both UC patients and mice model. In the vitro model system, we found that the protein level of BAHD1 was decreased in the stimulated Caco-2 cells. In addition, consistent with mRNA level of associated CKs enhanced in the siBAHD1 group within stimulatory factors, the interference group secreted more IL-6 and MCP-1 contents in the culture supernatant. As for potential mechanisms of BAHD1 in colitis, increased expression of TNFR1 was found in Caco-2 cells pre-treated with siBAHD1 in gut inflammation model, accompanying with the activation of IKK/ NF-κB and JNK/AP-1 pathways. Conclusions: Collectively, those findings provide evidence that BAHD1 might act as an indispensable safeguard to keep intestine immunological homeostasis.

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