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      • KCI등재

        Cuprum Metal-Organic-Framework and Polyacrylonitrile-Derived Cu-N-C Electrocatalyst for Application in Zinc-Air Batteries

        Yajun Zhao,Jintao Chen,Xiaorui Li,Jiaqing Zhang,Yanan Li,Yajun Zhao,Liye Cao,Xiaoshi Jin 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2020 NANO Vol.15 No.02

        Cu-N-C electrocatalyst was successfully prepared with Cu-BTC and polyacrylonitrile as templates by electrospinning and in-situ growth method. The effect of various N-doped content on the electrochemical performance of the catalyst were investigated and the Cu-N-C-0.25 exhibited the best OER/ORRcatalytic activities. When it was applied to the cathode of the zinc-air batteries, the power density of Cu-N-C-0.25 was 209.1 mW cm -2, which exceeded that of the commercial Pt/C + IrO2 hybrid catalyst (157 mW cm -2). The excellent electrochemical performance may be attributed to large number of active sites and high specific surface area on Cu-N-C electrocatalyst. It will be a promising alternative to precious metal catalysts containing Pt, Ir or Ru and their oxides.

      • Ontology-Based Exchange of Product Data Semantics between CAD and CAE

        Qinyi Ma,Yajun Wang,Yan Lv,Xin Jin,Maojun Zhou 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12

        The interoperation of various applications will need a representation that goes beyond the traditional geometry-based one, which is inadequate for capturing semantic information. This paper proposes an approach to annotate the CAD models based on ontology with the aim of making the design intent understood by computer and applied in engineering analysis, such as FEA. The paper presents the design domain ontology and FEA domain ontology, and applies feature technologies and the semantic Web to complete annotation. Semantic markup can embed the engineering semantic information such as product function, and design principle into the CAD geometry data through annotating, it makes the analyzers reuse design ideas quickly and conveniently to increase efficiency. The semantic file is proposed to support an exchange of product data semantics between CAD and CAE. The main idea of the approach is presented and key technologies are elaborated, including the creation of the FEA solution template, and the matching algorithm between semantic markup file and FEA template file. Finally, the feasibility and effectiveness of the approach is empirically validated by a case study.

      • Deposition and evaluation of MoNx films deposited by magnetron sputtering

        Yajun Ma,Shenghua Li,Yuansheng Jin,Guoshun Pan,Yucong Wang,Simon C. Tung 한국트라이볼로지학회 2002 한국트라이볼로지학회 학술대회 Vol.2002 No.10

        Molybdenum Nitrided (MoNx) films were deposited by DC planar magnetron sputtering. Silicon wafers and real nitrided stainless steel piston rings are employed as substrates. 12 different combinations of nitrogen and argon partial pressure, from 1:7 to 7:1, were applied to deposit MoNx films. X-ray diffraction (XRD) was used to determine the phase structures of films. When nitrogen vs. argon partial pressure is 1:7, the film is mainly MO₂N phase. With increase of nitrogen partial pressure, MoN phase emerges, but MO₂N phase still exists. Composition analysis with atomic emission spectrometry (AES) also agreed with this. The films have very high nanohardness (max 2400Hv) and good adhesion to the substrates.

      • KCI등재

        Effect of La2O3 on the microstructure and electrical properties of ZnO linear resistors

        Yajun Fu,Jiajia Lu,Jin Wang,Liangfeng Li 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.4

        ZnO-MgO-Al2O3-TiO2-Y2O3 linear resistors with different amount of La2O3 were successfully prepared by the conventionalsolid-state sintering method. The crystalline phase composition, microstructure, and electrical properties of La2O3 doped ZnOlinear resistors were investigated. The results show that La2O3 influences the lattice of ZnO and generates La-rich phase atthe grain boundaries, which improves the dense density of ZnO linear resistors. The addition of La2O3 further affect theelectrical properties of ZnO linear resistors, such as the temperature stability. The sample with 0.5 wt.% La2O3 show excellentelectrical performance with an resistance-temperature coefficient of 0.21×10-3/°C and an nonlinear coefficient of 1.05.

      • KCI등재

        Vagococcus zengguangii sp. nov., isolated from yak faeces

        Ge Yajun,Jin Dong,Lai Xin-He,Yang Jing,Lu Shan,Huang Ying,Zheng Han,Zhang Xiaoyan,Xu Jianguo 한국미생물학회 2021 The journal of microbiology Vol.59 No.1

        Two unknown Gram-stain-positive, catalase- and oxidasenegative, non-motile, and coccus-shaped bacteria, designated MN-17T and MN-09, were isolated from yaks faeces (Bos grunniens) in the Qinghai-Tibet Plateau of China. 16S rRNA gene sequence-based comparative analyses revealed that the two strains were grouped within the genus Vagococcus, displaying the highest similarity with Vagococcus xieshaowenii CGMCC 1.16436T (98.6%) and Vagococcus elongatus CCUG 51432T (96.4%). Both strains grew optimally at 37°C and pH 7.0 in the presence of 0.5% (w/v) NaCl. The complete genome of MN-17T comprises 2,085 putative genes with a total of 2,190,262 bp and an average G + C content of 36.7 mol%. The major fatty acids were C16:0 (31.2%), C14:0 (28.5%), and C18:1ω9c (13.0%); the predominant respiratory quinone was MK-7 (68.8%); the peptidoglycan type was A4α(L-Lys-DAsp); and the major polar lipid was diphosphatidylglycerol. Together, these supported the affiliation of strain MN-17T to the genus Vagococcus. In silico DNA-DNA hybridization and the average nucleotide identity values between MN-17T and all recognized species in the genus were 21.6–26.1% and 70.7–83.0%, respectively. MN-17T produced acid from D-cellobiose, D-fructose, glycerol, D-glucose, N-acetyl-glucosamine, gentiobiose, D-mannose, D-maltose, D-ribose, Dsaccharose, salicin, D-trehalose, and D-xylose. These results distinguished MN-17T and MN-09 from closely related species in Vagococcus. Thus, we propose that strains MN-17T and MN-09 represent a novel species in the genus Vagococcus, with the name Vagococcus zengguangii sp. The type strain is MN-17T (= CGMCC 1.16726T = GDMCC 1.1589T = JCM 33478T).

      • KCI등재

        Characterization and identification of OsFTL8 gene in rice

        Zhang Siju,Jin Yajun,Hao Hongjiao,Liang Shanshan,Ma Xuan,Luan Weijiang 한국식물생명공학회 2020 Plant biotechnology reports Vol.14 No.6

        The rice genome contains 13 Flowering Locus T-Like (FT-Like) genes, among which, OsFTL2/Hd3a and OsFTL3/RFT1 are characterized as forigen-encoding genes, promoting rice fowering under short-day and long-day conditions, respectively. However, the functions of the other FT-Like members are still unknown in rice. In this study, we characterized and identifed a member of FT-Like family, OsFTL8 gene. The investigation of photoperiodic expression pattern showed that OsFTL8 transcription was mainly induced under short-day conditions. The qRT-PCR and GUS staining assays indicated that OsFTL8 was broadly expressed in various organs, including stems, leaves and panicles. OsFTL8 overexpression transgenic lines and its knockout mutants displayed no obvious change in their heading date, compared with the wild type. However, the pollen viability and seed setting rate were decreased in the overexpression transgenic lines. OsFTL8 localizes in both nucleus and cytoplasm. And we found that OsFTL8 does not interact with OsFD1 in vivo, suggesting that OsFTL8 may not be the component of forigen activation complex (FAC). In summary, our results indicate that OsFTL8 is associated with pollen viability and not involved in regulating rice fowering time, implying functional divergence of FT-Like members.

      • KCI등재

        Optimizing adsorption of arsenic(III) by NH2-MCM-41 using response surface methodology

        YunHai Wu,Yanping Jin,Julin Cao,Palizhati Yilihan,Yajun Wen,Jianxin Zhou 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

        Response surface methodology (RSM) was used to optimize process parameters for arsenic (As(III)) removal from aqueous solution using amine-functionalized MCM-41 (NH2-MCM-41). Four independent variables such as pH, initial metal concentration, temperature and adsorbent dosage were investigated. The optimal conditions to remove As(III) by NH2-MCM-41 was found to be pH 5.62, initial As(III) concentration 5.00 mg/L, temperature 20 8C and NH2-MCM-41 dosage 5.00 g/L. XRD, FTIR and SEM analyses testified to the obvious change of the surface morphology and the presence of metal on the sorbent after adsorption. 2013 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.

      • KCI등재

        Experimental and mechanism research on volatilization characteristics of HCl in desulfurization wastewater evaporation process using high temperature flue gas

        Ma Shuangchen,Chai Jin,Wu Kai,Wan Zhongcheng,Xiang Yajun,Zhang Jingrui,Fan Zixuan 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.66 No.-

        Due to the promulgation of “water pollution control action plan” in China, zero liquid discharge of desulfurization wastewater has become a new trend for water pollution control in power plants. The HCl volatilization in desulfurization wastewater evaporation process is the key problem that may influence the application of evaporation technology, so experiment was carried out in self-made experimental system. The effects of temperature, pH, Cl− concentration, total dissolved solids and main metal ions on HCl volatilization were explored. Results have shown that HCl volatilization increases respectively from 5.42% to 20.43% and 2.22% to 9.18% with the increasing temperature from 180 °C to 380 °C in two kinds of actual desulfurization wastewater evaporation process. When pH < 7, Cl− concentration is the main influencing factor on HCl volatilization; the higher Cl− concentration is, the higher HCl volatilization will be observed. While pH > 7, pH becomes the dominant factor, increasing pH will inhibit HCl volatilization; Mechanism of HCl volatilization was studied simultaneously by XRD and TGA. Gaseous HCl mainly comes from the combination of free H+ and Cl−, hydrolysis of Ca2+ and Mg2+ in liquid phase and hydrolysis of hydrate in high temperature solid phase; Ways to inhibit HCl volatilization in process were put forward according to the experimental results. The use of Ca(OH)2 to adjust the pH of desulfurization wastewater to 9.0–10.0 can inhibit HCl volatilization economically and efficiently. This study provides the key data for the application of flue gas evaporation technology under high temperature. The research results have important theoretical and practical values for the engineering practice of this technology.

      • Data Partitioning Strategy of GPU Heterogeneous Clusters Based on Learning

        Jianjiang Li,Wei Chen,Jin Tian,Hongyan Zheng,Peng Zhang,Yajun Liu 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.9

        With the rapid progress of computational science and computer simulation ability, a lot of properties can be predicted by the powerful ability of parallel computation before the actual research and development. With the development of high performance computer architecture, GPU is more and more widely used in high performance computation field as an emerging architecture, and a growing number of computations use GPU heterogeneous cluster architecture. However, how to partition workload and map to computing resource has always been the focus and difficult point. In the current study of GPU, according to the problems of the computing power provided by each node and the cluster hardware architecture which the application programmers don't understand, some partitioning strategies will result in serious load imbalance problem. Aimed at the complexity brought by the different computing ability of the nodes of GPU clusters, this paper proposes a GPU data partitioning strategy of heterogeneous clusters based on learning. It collects the states of each node in the process of running a program, and then estimates the calculation ability of each node dynamically, so as to guide the data partitioning. Actual testing results show that, this strategy allocates different tasks to nodes based on computing ability to ensure load balancing among nodes, so as to improve the execution performance of CUDA programs on heterogeneous GPU clusters and it laid a solid foundation for efficient computing on heterogeneous GPU clusters.

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