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      • KCI등재

        Three new ent-abietane diterpenoids from the roots of Euphorbia fischeriana and their cytotoxicity in human tumor cell lines

        Minghui Li,Fang He,Yuan Zhou,Meigui Wang,Pingde Tao,Qingmei Tu,Guanghui Lv,Xintao Chen 대한약학회 2019 Archives of Pharmacal Research Vol.42 No.6

        Three new ent-abietane diterpenoids, termed fischerianoids A–C (1–3), were isolated and identified from the ethyl acetate extracts of roots of the medicinally valuable plant Euphorbia fischeriana. The planar and relative structures of 1–3 were established via high-resolution electrospray ionisation mass spectrometry and one- and two-dimensional nuclear magnetic resonance spectroscopic analyses, and the absolute configuration of 1 was further established via X-ray crystallography experiment. Compounds 1–3 showed selective inhibitory potency against certain human tumor cell lines with IC50 values ranging from 8.50 ± 0.13 to 35.52 ± 0.08 μM.

      • KCI등재

        WOA-Based Echo State Network for Chaotic Time Series Prediction

        Minghui Zhang,Baozhu Wang,Yatong Zhou,Haoxuan Sun 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.76 No.5

        We present a new chaotic times prediction model inspired by the bubble-net predation of whales. The echo state network (ESN) is a new type of recurrent neural network. However, selecting parameters empirically for the ESN cannot guarantee the accuracy of the prediction. The whale optimization algorithm (WOA) imitates the bubble-net predation of whales and ensures the rapid convergence of selecting network parameters. A new prediction model, WOA-ESN, in which the WOA and the ESN are incorporated, is proposed in this paper. In addition, a simplified cross-validation (CV) method is proposed to take into account the approximation performance and generalization ability of the WOA-ESN. In experiments, the WOA-ESN is used for Mackey-Glass and Lorenz chaotic time series predictions, and the results are compared with the ESN based on particle swarm optimization (PSO-ESN), the ESN based on genetic algorithm (GA-ESN), and ESN. The results show that the proposed model has the best prediction performance.

      • KCI등재

        Configuration Design and Optimization of a Novel Two-Mode Compound Power-Split Hybrid System

        Hu Minghui,Zeng Li,Fu Guangshun,Zhou Anjian,Li Zhonghua,Qin Datong 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.4

        Through the analysis of a CHS (Chinese hybrid system) compound power-split configuration, it is found that enhancing the system's speed decoupling ability can reduce the electric power loss, optimize the engine operating point distribution, and enhance the vehicle dynamics. This paper proposes a novel compound power-split configuration with a twospeed AMT (Automated manual transmission), which includes an electric-vehicle mode, a low-speed power-split mode, and a high-speed power-split mode. First, the electric power characteristics and rotational speed/torque characteristics of the CHS compound power-split configuration are analyzed using the lever method, theoretically demonstrating the rationality of the two-speed AMT+ compound power-split configuration. Then, the genetic algorithm is employed to optimize the multiparameters and multi-objectives in terms of the vehicle dynamics and economy. Finally, a comparative simulation and analysis of the vehicle’s economic and dynamic properties is performed for the new two-speed AMT+ compound power-split configuration and the original CHS compound power-split configuration. The results show that the vehicle economy is increased by 6.9 % for the new configuration, the acceleration time per 100 kilometers is decreased by 27.5 %, and the maximum speed is increased by 13.2 %.

      • KCI등재

        The learning curve and difficult points of the O-RADS ultrasound risk stratification system in 54 trainees

        Shan Zhou,Yuyang Guo,Lieming Wen,Baihua Zhao,Minghui Liu 대한초음파의학회 2022 ULTRASONOGRAPHY Vol.41 No.2

        Purpose: This study aimed to evaluate the learning curve and explore the difficult points of the Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound risk stratification system.Methods: One hundred adnexal masses (AMs) were randomly selected for five tests as training data. Two experienced trainers had an inter-rater agreement of 0.95 for the O-RADS scores. Fifty-four trainees (26 level I practitioners [group 1], 17 level II practitioners [group 2], and 11 experienced level II practitioners [group 3]) attended the training. Every trainee received assessment and feedback after 20 scored cases. The outcomes of the five tests were compared among the three groups using repeated-measurements analysis of variance.Results: Of the 100 AMs, 52 were pathologically benign and 48 were malignant; the O-RADS scores were 2, 3, 4, and 5 in 22, 11, 48, and 19 AMs, respectively. The between-subjects effects test showed no significant differences between groups 1, 2, and 3 for the five tests (P=0.501). For each group, the differences among the five tests were significant (P<0.001, P=0.006, and P=0.044 for groups 1, 2, and 3, respectively). Test 2 was the worst. In 23 cases, more than 40% of trainees gave incorrect answers, which mainly related to classic benign lesions, the color flow score, and solid-appearing masses.Conclusion: After training, junior doctors at different levels can reach a coincident O-RADS ultrasound risk stratification. The difficulties primarily related to subjective judgments of classic benign lesions, the color flow score, and solid-appearing masses. More experience is needed to improve the applicability of the system.

      • KCI등재

        Effect of Au on the Performance of Porous Silicon/V2O5 Nanorods Heterojunctions to NO2 Gas

        Wenjun Yan,Minghui Zhou,Jiran Liang,Dengfeng Wang,Yulong Wei,Yuxiang Qin 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.7

        A novel composite of Au-functionalized porous silicon (PS)/V2O5 nanorods (PS/V2O5:Au) was prepared to detect NO2 gas. PS/V2O5 nanorods were synthesized by a heating process of pure vanadium film on PS, and then the obtained PS/V2O5 nanorods were functionalized with dispersed Au nanoparticles. Various analytical techniques, such as field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), have been employed to investigate the properties of PS/V2O5:Au. Herein, the PS/V2O5:Au sample exhibited improved NO2-sensing performances in response, stability and selectivity at room temperature (25℃), compared with the pure PS/V2O5 nanorods. These phenomena were closely related to not only the dispersed Au nanoparticles acting as a catalyst but also the p-n heterojunctions between PS and V2O5 nanorods. Whereas, more Au nanoparticles suppressed the improvement of response to NO2 gas.

      • KCI등재

        Musca domestica Pupae Lectin Improves the Immunomodulatory Activity of Macrophages by Activating Nuclear Factor-jB

        Xiaohong Cao,Minghui Zhou,Chunling Wang,Lihua Hou,Yuanyuan Li,Linye Chen 한국식품영양과학회 2012 Journal of medicinal food Vol.15 No.2

        In this study, Musca domestica pupae lectin (MPL) was screened for its immunomodulatory effect on macrophages. The phagocytosis of macrophages was improved significantly when they were treated with MPL: remarkable changes were observed in the morphology of the cells, the metabolic abilities of DNA and RNA were enhanced, and the production of hepatin was increased. Meanwhile, compared with the control group, not only the mRNA expressions of tumor necrosis factor-a (TNF-a), interleukin-6 (IL-6), and interferon-c (IFN-c) in macrophages, but also the productions of proteins,were strongly induced by MPL; these effects were inhibited by pyrrolidine dithiocarbamate. Further study suggested that MPL could increase the nuclear factor-jB (NF-jB) p65 level in the nucleus. Overall, these results indicate that the improving immunomodulatory activity induced by MPL is mainly due to the increasing productions of TNF-a, IL-6, and IFN-c and that the activation of macrophage by MPL is partly mediated via the NF-jB pathway.

      • KCI등재

        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.

      • KCI등재

        A comparison of the diagnostic performance of the O-RADS, RMI4, IOTA LR2, and IOTA SR systems by senior and junior doctors

        Yuyang Guo,Baihua Zhao,Shan Zhou,Lieming Wen,Liu Jieyu,Yaqian Fu,Fang Xu,Minghui Liu 대한초음파의학회 2022 ULTRASONOGRAPHY Vol.41 No.3

        Purpose: This study compared the diagnostic performance of the Ovarian-Adnexal Reporting and Data System (O-RADS), the Risk of Malignancy Index 4 (RMI4), the International Ovarian of Tumor Analysis Logistic Regression Model 2 (IOTA LR2), and the IOTA Simple Rules (IOTA SR) in predicting the malignancy of adnexal masses (AMs).Methods: This retrospective study included 575 women with AMs between 2017 and 2020. All clinical messages, ultrasound images, and pathological findings were collected. Two senior doctors (group I) and two junior doctors (group II) used the four systems to classify AMs. The postoperative pathological diagnosis was used as the gold standard to evaluate the diagnostic efficiency. A receiver operating characteristic curve was used to test the diagnostic performance. The interrater agreement between the two groups was tested using kappa values.Results: Of all 592 AMs, 447 (75.5%) were benign, 123 (20.8%) were malignant, and 22 (3.7%) were borderline. The intergroup consistency test yielded kappa values of 0.71, 0.92, 0.68, and 0.77 for the O-RADS, RMI4, IOTA LR2, and IOTA SR, respectively. To predict malignant lesions, the areas under the curve of the O-RADS, RMI4, IOTA LR2, and IOTA SR systems were 0.90, 0.89, 0.90, and 0.86 for group I and 0.89, 0.87, 0.88, and 0.84 for group II, respectively. The O-RADS had the highest sensitivity (91.0% in group I and 84.8% in group II).Conclusion: The four diagnostic systems could compensate for junior doctors’ inexperience in predicting malignant adnexal lesions. The O-RADS performed best and showed the highest sensitivity.

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