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Binyu Wang,Jianpeng Wang,Dingkun Ma,Laili Wang,Fengtao Yang,Xinying Li,Youbo Tan 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5
Due to a series of advantages compared with other existing power converters, modular multilevel converters (MMCs) have been widely used in the last decade. However, in some applications, such as the offshore wind power transmission, the MMC submodules (SMs) are subjected to harsh operating environment and adverse mission profiles which can easily lead to failures in the solder layers of IGBT modules. Therefore, the lifetime estimation is very important to predict the reliability of MMC. This paper studies the fundamental-frequency thermal cycles and proposes a lifetime estimation method of MMC SMs based on the combination of finite element analysis (FEA) and the physical lifetime model. This method provides a deeper physical description of the failure mechanism and considers the thermal coupling among the chips, which make the lifetime calculation more accurate. The simulation time of FE in this research is acceptable. The distribution of lifetime is presented in the form of a colorful cloud map, rather than a single number, from which we can know the most vulnerable part of the solder layers. This can help us find the appropriate measures to improve the reliability of MMC SMs. In this paper, the principle and reliability issues of MMC are first analyzed. Second, the loss of the SM is calculated through simulation and curve fitting. Then, a 3D finite element (FE) model of MMC SM is developed and the FE simulation is performed. Finally, the lifetime of the SM is obtained based on the FEA results and Morrow lifetime model.
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Analysis of the International Competitiveness and Influencing Factors of China’s Service Trade
Xinying Liu,Yongni Chen,Xiaohui Wang The International Academy of Global Business and T 2020 The International Academy of Global Business and T Vol.16 No.2
Purpose - In world trade, the development of the service trade has been extremely rapid, and its development is even faster than that of the goods trade. In order to have a more comprehensive and accurate understanding of the development status of China’s service trade, the article mainly analyzes the status quo of China’s service trade. By analyzing the status quo of China’s service trade’s international competitiveness, it finds problems in the development of China’s service trade, and proposes ideas to improve China’s service trade with measures of international competitiveness. Design/Methodology/Approach - The article first analyzes the status quo of China’s service trade development from a macro perspective, and then analyzes the level of China’s service trade international competitiveness from three aspects: international market share, trade competitive advantage index, and explicit comparative advantage index. At the same time, based on Porter’s “Diamond Model”, the article selects production factors, demand factors, support from related industries, and government factors as auxiliary factors for research on China’s service trade. Taking the trade competitiveness index as the dependent variable, the amount of employment in the tertiary industry, per capita GDP, the export value of the goods trade, foreign direct investment, and scientific and technological expenditures are used as independent variables to establish a model. This model is used to conduct quantitative analysis. Findings - The article found that the overall competitiveness of China’s service trade is relatively weak, with serious deficits and uneven structural development. Through quantitative analysis, it is understood that the international competitiveness of China’s service trade is negatively correlated with the amount of employment in the tertiary industry and GDP per capita, and is positively correlated with foreign direct investment, China’s trade exports, and science and technology expenditures. Research Implications - Affected by the pandemic, the structure of the global service trade has undergone great changes, bringing new opportunities to the development of the global service trade. By analyzing the status quo and problems of the international competitiveness of China’s service trade, relevant suggestions are put forward to better promote the development of China’s service trade and improve the international competitiveness of China’s service trade.
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Duan, Mengqi,Wang, Zhenmei,Guo, Xinying,Wang, Kejun,Liu, Siyuan,Zhang, Bo,Shang, Peng Asian Australasian Association of Animal Productio 2021 Animal Bioscience Vol.34 No.5
Objective: Tibetan pigs, predominantly originating from the Tibetan Plateau, have been subjected to long-term natural selection in an extreme environment. To characterize the metabolic adaptations to hypoxic conditions, transcriptomic and proteomic expression patterns in the livers of Tibetan and Yorkshire pigs were compared. Methods: RNA and protein were extracted from liver tissue of Tibetan and Yorkshire pigs (n = 3, each). Differentially expressed genes and proteins were subjected to gene ontology and Kyoto encyclopedia of genes and genomes functional enrichment analyses. Results: In the RNA-Seq and isobaric tags for relative and absolute quantitation analyses, a total of 18,791 genes and 3,390 proteins were detected and compared. Of these, 273 and 257 differentially expressed genes and proteins were identified. Evidence from functional enrichment analysis showed that many genes were involved in metabolic processes. The combined transcriptomic and proteomic analyses revealed that small molecular biosynthesis, metabolic processes, and organic hydroxyl compound metabolic processes were the major processes operating differently in the two breeds. The important genes include retinol dehydrogenase 16, adenine phosphoribosyltransferase, prenylcysteine oxidase 1, sorbin and SH3 domain containing 2, ENSSSCG00000036224, perilipin 2, ladinin 1, kynurenine aminotransferase 1, and dimethylarginine dimethylaminohydrolase 1. Conclusion: The findings of this study provide novel insight into the high-altitude metabolic adaptation of Tibetan pigs.
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Shenglian Yao,Fa Xinying,Ruomeng Chen,Xiumei Wang,Luning Wang 한국고분자학회 2023 Macromolecular Research Vol.31 No.7
Bioactive scaffold design is always a key factor for neural tissue engineering, and decides the results of neural tissue regeneration. Fibrin hydrogel and RADA16-based functional peptides, as two kinds of soft hydrogel biomaterials, were successfully designed and used for neural tissue engineering. In this work, the interaction of fibrin and RADA16-based functional peptide was examined through a molecular dynamics study, and the results could be used to identify whether the combination of the two kinds of hydrogel is realizable and effective. In this study, RADA16-conjugated neurotrophic peptide (RAD-RGI) was developed by grafting neurotrophic peptide RGI (RGIDKRHWNSQ) to the C-terminus of amphiphilic peptide RADA16-I (Ac-(RADA)4-CONH2). The molecular dynamics simulations results indicated that RAD-RGI bound to fibrin autonomously and distributed randomly mostly under the action of intermolecular static electricity, van der Waals force, and hydrophobicity as well. In addition, the positive charged and non-polar residues play crucial roles in peptide-fibrin interactions. From the structural analysis result of the peptide with the highest content of α-helix structure in the composite system, RAD-RGI was bound to fibrin with amino acids in the region of RADA, while RGI motifs maintained its original structure and function in the binding process that provided the fibrin composite hydrogel with neurotrophic bioactivity. Finally, the RAD-RGI/aligned fibrin hydrogel (RAD-RGI/AFG) was successfully fabricated, and the composite hydrogel’s microstructure was characterized by scanning electron microscopy (SEM) and transmission electron microscopy (TEM). This research provides theoretical support for the combination of fibrin hydrogel with RADA16-conjugated neurotrophic peptides in the design of neural tissue engineering biomaterials.
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Li Xuewen,Liu Zihao,Xu Shendan,Ma Xinying,Zhao Zhezhe,Hu Han,Deng Jiayin,Peng Cheng,Wang Yonglan,Ma Shiqing 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00
Exosomes derived from bone marrow mesenchymal stem cells (BMSC-exos) have been shown triggering osteogenic differentiation and mineralization of MSCs, but exosomes administered via bolus injections are rapidly sequestered and cleared. Therefore, we considered the implant as a new organ of patient’s body and expected to find a method to treat implant with BMSC-exos in vivo directly.A fusion peptide (PEP), as a drug delivery system (DDS) which contained a titanium-binding peptide (TBP) possessing the ability to selectively bind to the titanium surface and another peptide CP05 being able to capture exosomes expertly, is constructed to modify the titanium surface.Both in vitro and in vivo experiments prove PEP retains the ability to bind titanium and exosome simultaneously, and the DDS gain the ability to target exosomes to titanium implants surface following enhancing osseointegration post-implantation. Moreover, the DDS constructed by exosomes of diverse origins shows the similar combination rate and efficiency of therapy.This drug delivery system demonstrates the concept that EXO-PEP system can offer an accurate and efficient therapy for treating implants with long-term effect.
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Modified GMDH networks for oilfield production prediction
Jia Guo,Wei Huang,Qiong Mao,Xudong Wang,Xinying Wang,Tao Song 한국자원공학회 2018 Geosystem engineering Vol.21 No.4
The self-organizing Group Method of Data Handling (GMDH) functional network is effective in predicting oilfield production. During operation the division of data sample depending on artificial classification cannot lead to global optimum in great probability and the variables are probably eliminated early in the iterative process in traditional GMDH algorithm. Recent years, GMDH model has been improved through many artificial intelligent models, but few people take the optimization of the model structure into account. In this paper, different training and testing set grouping and the effects of variables transmission were studied. The modified GMDH algorithm was optimized using the original variables preservation method and the random sample method, which was applied to the oilfield production forecasting simulation. The results of the modified GMDH algorithm, the traditional GMDH algorithm, ANNs and the empirical equations for predicting annual oil production were compared. The simulative results indicated that the modified GMDH model was the best tool for data-fitting with lowest error (RMSE = 13.9440, MAPE = 0.1121 and SI = 0.0378) and highest accuracy (R = 0.9984).
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High‑Efficiency Inhibition of Gravity Segregation in Al–Bi Immiscible Alloys by Adding Lanthanum
Peng Jia,Jinyang Zhang,Haoran Geng,Xinying Teng,Degang Zhao,Zhongxi Yang,Yi Wang,Song Hu,Jun Xiang,Xun Hu 대한금속·재료학회 2018 METALS AND MATERIALS International Vol.24 No.6
The inhibition of gravity segregation has been a long-standing challenge in fabrication and applications of homogeneousimmiscible alloys. Therefore, the effect of rare-earth La on the gravity segregation of Al–Bi immiscible alloys was investigatedto understand the homogenization mechanism. The results showed that the addition of La can completely suppress thegravity segregation. This is attributed to the nucleation of Bi-rich liquid phase on the in-situ produced LaBi2phase and thechange of the shape of LaBi2@Bi droplets. In addition, a novel strategy is developed to prepare the homogeneous immisciblealloys through the addition of rare-earth elements. This strategy not only is applicable to other immiscible alloys, but alsois conducive to finding more elements to suppress the gravity segregation. This study provided a useful reference for thefabrication of the homogeneous immiscible alloys.
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