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RISS 인기검색어
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- 저자 : Minghui Chu (검색결과 3 건)
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Minghui Chu,Jizheng Chu 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
Tuning parameters of the PID controller which satisfying certain requirements is the key goal in uncertain systems. However, most studies ignored the disturbance rejection performance of the controller. This study investigated a novel graphical design method of improving disturbance rejection performance for uncertain system. The proposed method evaluates the disturbance rejection performance by analyzing reference to disturbance ratio (RDR). At the same time, the parameters of the controller which can stabilize the system and meet the robustness specification for the uncertain system are determined by specifications-oriented Kharitonov region (SOKR). Thus, the intersection region satisfying multiple objectives can be found by using this graphical method. Examples are given to demonstrate the flexibility and effectiveness of the proposed method.
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Ao Pan,Minghui Xie,Jianye Xia,Ju Chu,Ying-ping Zhuang 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.1
The influence of impeller structure on the mass transfer characteristics was studied with the steady-state method for gas-liquid volumetric mass transfer coefficient (kLa). The single-impeller configurations included eight impeller types (three radial flow impellers, four axial flow impellers and one mixed flow impeller), and the doubleimpeller included three configurations (RT+RT, RT+WHD, WHD+WHD). For single-impeller, the gas-liquid mass transfer rates of radial flow impellers were better than those of axial flow impellers under the same rotation speed and gas flow rate. The mass transfer performance (defined as the volumetric mass transfer coefficient per unit power input) of radial flow impellers were also better than that of axial flow impellers. With the same kLa value under a certain gas flow rate, the local bubble size distribution between radial flow impeller and axial flow impeller was similar. As for double impellers, RT+RT provided the highest mass transfer rate under certain rotation speed and gas flow rate, while WHD+WHD gave the highest values of gas-liquid mass transfer coefficient with the same power consumption.
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Differential Profile of Plasma Circular RNAs in Type 1 Diabetes Mellitus
Yangyang Li,Ying Zhou,Minghui Zhao,Jing Zou,Yuxiao Zhu,Xuewen Yuan,Qianqi Liu,Hanqing Cai,Cong-Qiu Chu,Yu Liu 대한당뇨병학회 2020 Diabetes and Metabolism Journal Vol.44 No.6
Background No currently available biomarkers or treatment regimens fully meet therapeutic needs of type 1 diabetes mellitus (T1DM). Circular RNA (circRNA) is a recently identified class of stable noncoding RNA that have been documented as potential biomarkers for various diseases. Our objective was to identify and analyze plasma circRNAs altered in T1DM. Methods We used microarray to screen differentially expressed plasma circRNAs in patients with new onset T1DM (n=3) and age-/gender-matched healthy controls (n=3). Then, we selected six candidates with highest fold-change and validated them by quantitative real-time polymerase chain reaction in independent human cohort samples (n=12). Bioinformatic tools were adopted to predict putative microRNAs (miRNAs) sponged by these validated circRNAs and their downstream messenger RNAs (mRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to gain further insights into T1DM pathogenesis. Results We identified 68 differentially expressed circRNAs, with 61 and seven being up- and downregulated respectively. Four of the six selected candidates were successfully validated. Curations of their predicted interacting miRNAs revealed critical roles in inflammation and pathogenesis of autoimmune disorders. Functional relations were visualized by a circRNA-miRNA-mRNA network. GO and KEGG analyses identified multiple inflammation-related processes that could be potentially associated with T1DM pathogenesis, including cytokine-cytokine receptor interaction, inflammatory mediator regulation of transient receptor potential channels and leukocyte activation involved in immune response. Conclusion Our study report, for the first time, a profile of differentially expressed plasma circRNAs in new onset T1DM. Further in silico annotations and bioinformatics analyses supported future application of circRNAs as novel biomarkers of T1DM.
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