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- 저자 : Mengting Chen (검색결과 5 건)
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Mengting Chen,Feng Ding,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.6
This paper focuses on the identification problem for a class of bilinear-in-parameter systems with an additive noise modeled by an autoregressive moving average process. By using the over-parameterization model, the special form of the bilinear term can be obtained by the model equivalent transformation. Then, we use a decomposition of the model into two synthetic models in order to separate the effect of the two sets of parameters, i.e., the coefficients of the nonlinear basis functions from the parameters of the colored noise. Moreover, two decomposition based iterative algorithms are proposed to identify the unknown parameters. A numerical example is presented to confirm the effectiveness of the proposed methods.
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A Study on the Efficiency of Chinese Logistics Using DEA-SBM Model
Mengting Chen,박광태 한국로지스틱스학회 2023 로지스틱스연구 Vol.31 No.4
Data Envelopment Analysis (DEA) model is typically used to analyze the logistics efficiency in a given region. It assesses the ability to achieve maximum output given input resources. DEA is preferred because it is a nonparametric method that does not require specific functional assumptions, while considering multiple inputs and outputs simultaneously for a comprehensive efficiency assessment. This approach is particularly advantageous for complex system evaluations such as logistics efficiency. However, traditional DEA model is a radial model and has a biased results due to the omission of the impact of undesired outputs. In order to obtain more accurate conclusions, this study uses DEA-SBM (Slacks-Based Measure) model and incorporates two negative factors which are sulphur dioxide emissions and the number of traffic accidents. We investigate the logistics efficiency in 31 Chinese provinces, using data from 2004 to 2020. In addition, specific analyses of the logistics efficiency of each province are conducted to propose corresponding improvement strategies, thus providing a more scientifically sound basis for the development of China’s logistics industry.
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Rui Chen,Mengting Wang,Qiaoling Qi,Yanli Tang,Zhenzhao Guo,Shuai Wu,Qiyan Li 대한치주과학회 2023 Journal of Periodontal & Implant Science Vol.53 No.1
Purpose: Our pilot study showed that a 3-dimensional dual drug delivery scaffold (DDDS) loaded with Chinese herbs significantly increased the regenerated bone volume fraction. This study aimed to confirm the synergistic anti-inflammatory and osteogenic preclinical effects of this system. Methods: The targets and pathways of parthenolide and naringin were predicted. Three cell models were used to assess the anti-inflammatory effects of parthenolide and the osteogenic effects of naringin. First, the distance between the cementoenamel junction and alveolar bone crest (CEJ-ABC) and the bone mineral density (BMD) of surgical defects were measured in a rat model of periodontitis with periodontal fenestration defects. Additionally, the mRNA expression levels of matrix metallopeptidase 9 (MMP9) and alkaline phosphatase (ALP) were measured. Furthermore, the number of inflammatory cells and osteoclasts, as well as the protein expression levels of tumor necrosis factor-alpha (TNF-α) and levels of ALP were determined. Results: Target prediction suggested prostaglandin peroxidase synthase (PTGS2) as a potential target of parthenolide, while cytochrome P450 family 19 subfamily A1 (CYP19A1) and taste 2 receptor member 31 (TAS2R31) were potential targets of naringin. Parthenolide mainly targeted inflammation-related pathways, while naringin participated in steroid hormone synthesis and taste transduction. In vitro experiments revealed significant antiinflammatory effects of parthenolide on RAW264.7 cells, and significant osteogenic effects of naringin on bone marrow mesenchymal stem cells and MC3T3-E1 cells. DDDS loaded with parthenolide and naringin decreased the CEJ-ABC distance and increased BMD and ALP levels in a time-dependent manner. Inflammation was significantly alleviated after 14 days of DDDS treatment. Additionally, after 56 days, the DDDS group exhibited the highest BMD and ALP levels. Conclusions: DDDS loaded with parthenolide and naringin in a rat model achieved significant synergistic anti-inflammatory and osteogenic effects, providing powerful preclinical evidence.
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Study on Application of Crude Ingredients in Cosmetics
陈,妍,(Chen Yan),黄,蓉(Huang Rong),夏梦,婷,(Xia Mengting),刘,耀鸿,(Liu Yaohong),胡林峰(Hu Linfeng) 아시아사회과학학회 2021 International Science Research Vol.1 No.1
The composition analysis about 1030 products of well-known cosmetic brands such as Estee Lauder, L Oreal, Shiseido, LVHM, Chanel, Amore Pacific, Procter & Gamble, LG Group was carried out to study the application of crude pharmaceutical ingredients in cosmetics.
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Zuojun Wei,Yuran Cheng,Mengting Chen,Yuhua Ye,Yingxin Liu 한국화학공학회 2022 Korean Journal of Chemical Engineering Vol.39 No.7
Using nitrogen-doped mesoporous carbon (NMC) as the support, several NiRe bimetallic catalysts withlow metal loading of 1 wt% were designed and prepared for the selective deoxygenation of oleic acid to n-heptadecanein the absence of hydrogen. Results showed that the Ni80Re20/NMC catalyst with a Ni/Re molar ratio of 80 : 20 achievedthe highest yield of n-heptadecane (92.3%) at 330 oC for 2 h in isopropanol solvent, and at a metal/oleic acid weightratio of 1 : 333. The catalyst can be reused at least five times with slight activity loss. Combined with the results of insituXRD, HRTEM, XPS and CO2-TPD, the formation of NiRe alloy, the very fine NiRe nanoparticle size at 2.30 nm, aswell as the hydrophobic, mesoporous and weakly basic properties of the NMC support surface were demonstrated tocontribute to the excellent catalytic performance of the catalyst.
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