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马礼逊《华英字典》收释习语俗谚探略

语言研究 2024年第3期44卷 109-116页

作者：潘牧天徐时仪上海师范大学人文学院上海200234

马礼逊身为来华的欧洲传教士,不受中土传统理念的约束,注重实用、教育和启蒙的原则,所编《华英字典》既收释词,也收释习语俗谚,在某种程度上揭示了汉语以字贯通词语的特征,从中既可见口语语辞到书面语文辞的发展,也可见书面语文辞在口... 详细信息

马礼逊身为来华的欧洲传教士,不受中土传统理念的约束,注重实用、教育和启蒙的原则,所编《华英字典》既收释词,也收释习语俗谚,在某种程度上揭示了汉语以字贯通词语的特征,从中既可见口语语辞到书面语文辞的发展,也可见书面语文辞在口语语辞中的演变,在辞书编纂和汉语研究上皆有其独到建树。

关键词：马礼逊《华英字典》习语俗谚

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复合酵素的贮藏稳定性及货架期研究

食品与发酵工业 2024年第1期50卷 59-66页

作者：刘恒范柳萍张涛潘牧江南大学食品学院江苏无锡214122 贵州省农业科学院生物技术研究所贵州贵阳550006

该研究采用克鲁弗毕赤酵母菌(Pichia kluyveri)和植物乳植杆菌(Lactiplantibacillus plantarum)共发酵制备复合酵素,旨在研究其产品经巴氏杀菌处理后的贮藏稳定性,并建立一个可靠的货架期预测模型。该实验将杀菌后的复合酵素分别放置在4... 详细信息

该研究采用克鲁弗毕赤酵母菌(Pichia kluyveri)和植物乳植杆菌(Lactiplantibacillus plantarum)共发酵制备复合酵素,旨在研究其产品经巴氏杀菌处理后的贮藏稳定性,并建立一个可靠的货架期预测模型。该实验将杀菌后的复合酵素分别放置在4、25、37℃恒温贮藏,测定了复合酵素的感官品质、理化性质和活性成分在贮藏期间的变化。此外,根据Arrhenius方程和零级动力学反应建立了该复合酵素的货架期模型,通过此模型对复合酵素的货架期进行预测并通过实验进行验证。实验结果表明,4℃贮藏的复合酵素pH和总酸变化幅度最小,表现出最高的稳定性,且贮藏56 d后pH值为3.41。抗坏血酸在贮藏过程中分别降低了33.10%、52.11%和77.93%,超氧化物歧化酶活力也呈现不同程度的下降趋势,且抗坏血酸对其具有一定的保护作用。色差ΔE和感官评分在4℃劣变速度最慢。根据建立的货架期模型,预测该复合酵素在常温下的货架期为184 d。在不同温度下(10、20、25℃)对该货架期模型进行验证,相对误差均在5%以下。因此,此货架期模型较为可靠。

关键词：复合酵素贮藏感官品质理化性质活性成分货架期模型

PEMFC启停工况下的阳极氢空混合区域分析

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电源技术 2024年第6期48卷 1018-1024页

作者：时贞勃涂重阳谭金婷潘牧武汉理工大学汽车工程学院湖北武汉430070 武汉理工大学燃料电池湖北省重点实验室湖北武汉430070 武汉理工大学材料复合新技术国家重点实验室湖北武汉430070

质子交换膜燃料电池在启停工况下,一般认为,阳极流道中形成氢空界面,产生阴极高电位,导致阴极材料发生电化学腐蚀。实际上,氢气与空气接触时会发生对流与扩散,阳极流道中将形成氢空混合区域。通过推导氢空混合区域的运动学模型与电解质... 详细信息

质子交换膜燃料电池在启停工况下,一般认为,阳极流道中形成氢空界面,产生阴极高电位,导致阴极材料发生电化学腐蚀。实际上,氢气与空气接触时会发生对流与扩散,阳极流道中将形成氢空混合区域。通过推导氢空混合区域的运动学模型与电解质电势分布数学模型,进行氢空混合区域范围、时间及电解质电势数值计算。结果表明,氢空混合区域导致的阴极高电位持续时间远超氢空界面存在时间;对应的电解质电势为-0.304~-0.260 V;氢空混合区域的分布范围与持续时间受入口气体流速及流道当量直径影响;当量直径每增加0.1 mm,混合区域最大值将增加4 mm,整体阴极高电位的持续时间将延长1.25%。以上结果为阳极流场的设计和启停工况下的控制策略提供了理论依据。

关键词：质子交换膜燃料电池氢空混合区域启停工况电解质电势

基于GCN-LSTM的高精度燃料电池性能退化预测模型

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武汉理工大学学报 2024年第8期46卷 111-117页

作者：涂重阳周芬潘牧武汉理工大学汽车工程学院武汉理工大学燃料电池湖北省重点实验室武汉理工大学材料复合新技术国家重点实验室

深度学习因其能够深入挖掘传感器采集的机器退化信息，在质子交换膜燃料电池（PEMFC）性能退化预测中取得了成功。然而，这些方法更侧重于时间相关性，而忽略了传感器的空间相关性。作者提出一种结合图卷积神经网络与长短期记忆网络（GC... 详细信息

深度学习因其能够深入挖掘传感器采集的机器退化信息，在质子交换膜燃料电池（PEMFC）性能退化预测中取得了成功。然而，这些方法更侧重于时间相关性，而忽略了传感器的空间相关性。作者提出一种结合图卷积神经网络与长短期记忆网络（GCN-LSTM）的模型，该模型考虑了时间及空间相关性。首先，通过构建传感器网络融合多源数据。其次，运用GCN分析多源数据，提取空间特征。最后，通过LSTM学习时间特征，预测PEMFC性能退化。基于IEEE数据集验证了所提出的模型，拟合系数R2在0.99以上。与仅考虑时间相关性的传统方法相比，均方根误差（RMSE）最大降低75.7%,预测精度得到了提升。

关键词： PEMFC 图卷积神经网络长短期记忆神经网络性能退化预测

Mechanochemical synthesis and high-capacity performances of transition-metal borides as aqueous anode materials

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Chinese Science Bulletin 2012年第27期57卷 4225-4228页

作者： WANG YaDong GUANG XianYong pan mu State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Department of Chemistry Wuhan UniversityWuhan 430072China

Transition-metal borides MB0.5(M = Co,Mo,V) were synthesized by high-speed mechanical ball-milling of the corresponding elemental metals and boron,and investigated as aqueous anode *** as-synthesized borides can achieve an excellent discharge capacity,about twice that of their parent transition *** metal boride electrodes also exhibit polarizations about 100-300 mV lower than those of their parent *** galvanostatic discharge curve of CoB0.5 shows a single discharge voltage plateau as a result of simultaneous electro-oxidation of elemental cobalt and/or amorphous cobalt *** MoB0.5 and VB0.5 show two well-defined voltage plateaus,corresponding to the electro-oxidation of the corresponding metal and *** results show that the coexisting transition metal and boride in the metal borides co-activate each other in the ball-milling process,thereby significantly enhancing their electrochemical performances.

关键词：机械化学合成过渡金属硼化物水溶液负极材料高容量表演放电电压

Image-based 3D model retrieval using manifold learning

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Frontiers of Information Technology & Electronic Engineering 2018年第11期19卷 1397-1408页

作者： pan-pan mu San-yuan ZHANG Yin ZHANG Xiu-zi YE Xiang pan College of Computer Science and Technology Zhejiang University College of Mathematics and Information Science Wenzhou University College of Computer Science and Technology Zhejiang University of Technology

We propose a new framework for image-based three-dimensional(3D) model retrieval. We first model the query image as a Euclidean point. Then we model all projected views of a 3D model as a symmetric positive definite(SPD) matrix, which is a point on a Riemannian manifold. Thus, the image-based 3D model retrieval is reduced to a problem of Euclid-to-Riemann metric learning. To solve this heterogeneous matching problem, we map the Euclidean space and SPD Riemannian manifold to the same high-dimensional Hilbert space, thus shrinking the great gap between them. Finally, we design an optimization algorithm to learn a metric in this Hilbert space using a kernel trick. Any new image descriptors, such as the features from deep learning, can be easily embedded in our framework. Experimental results show the advantages of our approach over the state-of-the-art methods for image-based 3D model retrieval.

关键词： Model retrieval Euclidean space Riemannian manifold Hilbert space Metric learning

Structure-dependent electrocatalytic activity of La_(1-x)SrxMnO_3 for oxygen reduction reaction

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Science China Chemistry 2015年第5期58卷 871-878页

作者： Guangjin Wang Tian Xu Sheng Wen mu pan College of Chemistry and Materials Science Hubei Engineering University State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Hubei Provincial Key Laboratory of Fuel Cell

The electrocatalytic activity toward oxygen reduction reaction is studied on the perovskite oxide La~_xbrxMnt）3, as preparea under different firing temperatures. X-ray diffraction shows that three different crystal phases featuring tetragonal, cubic, and orthorhombic symmetries form with increasing crystallinities. The electrocatalytic activity is characterized by cyclic voltam- metry and linear sweeping voltammetry for the three phases of La1-xSrxMnO3. We find that the tetragonal phase has the best catalytic activity among the three crystal phases, with the largest onset potential of 0.147 V. The synergistic effect between the volume per unit cell and crystallinity is indicated to account for the good catalytic activity of the tetragonal phase.

关键词： perovskite oxide La1-xSrxMnO3 crystal phase crystallinity oxygen reduction reaction

Accelerated life-time test of MEA durability under vehicle operating conditions in PEM fuel cell

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Frontiers in Energy 2017年第3期11卷 326-333页

作者： Tian TIAN Jianjun TANG Wei GUO mu pan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Hubei Provincical Key Laboratory of Fuel Cell Wuhan University of Technology Wuhan 430070 China

In this paper, a novel accelerated test method was proposed to analyze the durability of MEA, considering the actual operation of the fuel cell vehicle. The proposed method includes 7 working conditions： open circuit voltage （OCV）, idling, rated output, overload, idling-rated cycle, idling-overload cycle, and OCV-idling cycle. The experimental results indicate that the proposed method can effectively destroy the MEA in a short time （165 h）. Moreover, the degradation mechanism of MEA was analyzed by measuring the polarization curve, CV, SEM and TEM. This paper may provide a new research direction for improving the durability of fuel cell.

关键词： polymer electrolyte membrane fuel cell accelerated life-time test load cycling test durability

Facile Oxygen-promoted Synthesis of Cu,N Co-doped Carbon Composites for Oxygen Reduction

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Journal of Wuhan University of Technology(Materials Science) 2021年第6期36卷 796-803页

作者： LIU Qianqian GUO Wei pan mu TU Wenmao Hubei Key Laboratory of Fuel Cell Wuhan University of TechnologyWuhan 430070China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China

A new strategy to fabricate oxygen-promoted Cu,N co-doped carbon(OP-CuN@C)composites is *** strategy consists of only two simple steps:chemical polymerization and high temperature *** measurements were conducted to investigate the catalytic activity and mechanism of ORR on the resulting *** the electrochemical results indicate that OP-CuN@C exhibits the best ORR catalytic *** ORR onset potential of OP-CuN@C is slightly lower than that of commercial Pt/C *** good performance is attributed to the large specific surface area,high content of heteroatoms(pyridinic,graphitic nitrogen,and oxygen atom)and synergistic effect between divalent copper and nitrogen dopant.

关键词： oxygen reduction reaction oxygen promotion OP-CuN@C chemical polymerization approach high temperature carbonized method