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Chinese Science Bulletin 2013年第19期58卷 2315-2322页

作者： HOU Lin DAHMS Hans-Uwe DONG ChangYong CHEN YiFei HOU HaoChen YANG WanXi ZOU XiangYang College of Life Science Liaoning Normal University Sangmyung University Green Life Science Department College of Life Sciences Zhejiang University Department of Biotechnology Dalian Medical University

A phylogenetic analysis of members of the family Buccinidae was conducted using 18S rRNA gene, 28S rRNA gene and the mitochondrial cytochrome oxidase Ⅰ gene. We studied 18 species of Buccinidae that belong to eight different genera and inhabit the China coastal seas. We analyzed the patterns of divergence between an outgroup and basal ingroup taxa, the monophyly of the genus Neptunea, and the position of one unnamed species within the Buccinidae. A phylogenetic tree (neighbor-joining (NJ) method) was reconstructed based on the sequences of 18S rRNA, 28S rRNA and COI, with Rapana venosa as outgroup. The NJ tree indicated that the 18 species could be divided into five groups. The genus Buccinum was monophyletic, whereas Neptunea was shown to be paraphyletic since it included Siphonalia subdilatata and Neptunea sp., a new species. This novel species otherwise clustered consistently with Neptunea cumingi in three other phylogenetic trees, showing a low genetic distance and divergence percentage of sequences belonging to the genus Neptunea. A smaller genetic distance and a smaller difference of 18S rRNA, 28S rRNA and COI sequences between Neptunea cumingii and Neptunea arthritica cumingii confirmed them to be the same species.

关键词：系统发育树家庭成员核糖体RNA 序列软体动物位置中国 rRNA基因

A TMA-Seq2seq Network for Multi-Factor Time Series Sea Surface Temperature Prediction

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Computers, Materials & Continua 2022年第10期73卷 51-67页

作者： Qi He Wenlong Li Zengzhou Hao Guohua Liu Dongmei Huang Wei Song Huifang Xu Fayez Alqahtani Jeong-Uk Kim Department of Information Technology Shanghai Ocean UniversityShanghai201306China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou310012China College of Computer Dong Hua UniversityShanghai200051China College of Information Technology Shanghai Jian Qiao UniversityShanghai201306China Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh 12372Saudi Arabia Department of Electrical Engineering Sangmyung UniversitySouth KoreaKorea

Sea surface temperature (SST) is closely related to global climatechange, ocean ecosystem, and ocean disaster. Accurate prediction of SST isan urgent and challenging task. With a vast amount of ocean monitoring dataare continually collected, data-driven methods for SST time-series predictionshow promising results. However, they are limited by neglecting complexinteractions between SST and other ocean environmental factors, such as airtemperature and wind speed. This paper uses multi-factor time series SSTdata to propose a sequence-to-sequence network with two-module attention(TMA-Seq2seq) for long-term time series SST prediction. Specifically, TMASeq2seq is an LSTM-based encoder-decoder architecture facilitated by factorand temporal-attention modules and the input of multi-factor time series. Ittakes six-factor time series as the input, namely air temperature, air pressure,wind speed, wind direction, SST, and SST anomaly (SSTA). A factor attentionmodule is first designed to adaptively learn the effect of different factors onSST, followed by an encoder to extract factor-attention weighted features asfeature representations. And then, a temporal attention module is designedto adaptively select the hidden states of the encoder across all time steps tolearn more robust temporal relationships. The decoder follows the temporalattention module to decode the feature vector concatenated from the weightedfeatures and original input feature. Finally, we use a fully-connect layer tomap the feature into prediction results. With the two attention modules, ourmodel effectively improves the prediction accuracy of SST since it can notonly extract relevant factor features but also boost the long-term dependency.Extensive experiments on the datasets of China Coastal Sites (CCS) demonstrate that our proposed model outperforms other methods, reaching 98.29%in prediction accuracy (PACC) and 0.34 in root mean square error (RMSE).Moreover, SST prediction experiments in China’s East, South, and Yellow Seasite data show that the proposed

关键词： Sea surface temperature multi-factor attention long short-term memory

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《follow a dream》

流行色 2019年第6期 29-29页

作者：罗密江西服装学院服装设计学院 Sangmyung University

设计说明:本系列作品为女性包袋,灵感来源于梦境中模糊又迷离的感觉。造型中用不同的线条分割以及组合展现其现代简约的设计美感;花卉的造型强调了女性的审美特征;将竹节、植鞣革、金属等材料组合在一块展现不同的特性美。

关键词： follow a dream 《follow a dream》

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《虎韵》

流行色 2019年第7期 31-31页

作者：罗密 Sangmyung University 江西服装学院服装设计学院

设计说明:本系列作品为女性包袋,灵感来源于中国北方民间艺术。整体造型以老虎造型构成,运用解构再组合的构成法则将民间艺术呈现不同的现代艺术状态并且兼备实用价值。

关键词：民间艺术《虎韵》

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文淑丽作品

流行色 2019年第6期 30-30页

作者：文淑丽江西服装学院服装设计学院 Sangmyung University-South Kores

发现于青岛的日猛水蚤属（Tisbe）一新种（甲壳动物亚门:鄂足纲:桡足亚纲:猛水蚤目:日猛水蚤科）

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发现于青岛的日猛水蚤属（Tisbe）一新种（甲壳动物亚门:鄂足纲:...

Optimistic performance of carbon-free hydrazine fuel cells based on controlled electrode structure and water management

中国甲壳动物学会第十一届年会暨学术研讨会

作者：马林 H.Dahms 李新正中国科学院海洋研究所中国科学院研究生院 Sangmyung University

＜正＞本文描述了甲壳动物亚门鄂足纲桡足亚纲猛水蚤目日猛水蚤科日猛水蚤属（Tisbe Lilljeborg,1853）的一个新种。该种的模式标本采于青岛海滨潮间带。根据其雄性第二游泳足内肢基节中央刚

关键词：桡足类猛水蚤目日猛水蚤科新种外部形态

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Journal of Energy Chemistry 2020年第12期29卷 175-181页

作者： Hongsun Hwang Sujik Hong Do-Hyeong Kim Moon-Sung Kang Jin-Soo Park Sunghyun Uhm Jaeyoung Lee Electrochemical Reaction and Technology Laboratory(ERTL) School of Earth Sciences and Environmental EngineeringGwangju Institute of Science and Technology(GIST)Cwangju 61005Republic of Korea Ertl Center for Electrochemistry and Catalysis Gwangju Institute of Science and Technology(GIST)Gwangju 61005Republic of Korea Department of Green Chemical Engineering Sangmyung UniversityCheonanChungnam 31066Republic of Korea Plant Engineering Center Institute for Advanced EngineeringYongin 17180Republic of Korea

In this study, we first attempted to discover the optimal configuration of membrane-electrode assemblies(MEAs) used to achieve a high performance of direct hydrazine fuel cells(DHFCs). We have investigated the effect of water management and the electrode thickness on the performance of DHFCs, depending on the hydrophobicity of the gas diffusion layers in the cathode and the catalyst loading in the anode with the carbon-supported Ni, synthesized by a polyol process. With the optimal water management and electrode thickness, the MEA constructed using the as-prepared Ni/C anode catalyst containing the metallic and low oxidative state and ultra-low Pt loading cathode reduced the ohmic resistance and mass transfer limitation in the current-voltage curves observed for the alkaline DHFC, achieving an impressive power performance over 500 mW cm^(–2).

关键词： Fuel cell Hydrazine Alkaline media Membrane-electrode assembly

Steam activation of Fe-N-C catalyst for advanced power performance of alkaline hydrazine fuel cells

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Journal of Energy Chemistry 2022年第1期31卷 276-285,I0008页

作者： Sooan Bae Jihyeon Park Yuna Hwang Jin-Soo Park Jaeyoung Lee Beomgyun Jeong Research Center for Materials Analysis Korea Basic Science Institute169-14&Gwahak-roDaejeon 34133Republic of Korea School of Earth Sciences and Environmental Engineering Gwangju Institute of Science and Technology123 Cheomdangwagi-ro.Buk-guGwangju 61005Republic of Korea Department of Green Chemical Engineering Sangmyung University31 Sangmyungdae-gilDongnam-gu.CheonanChungnam Province 31066Republic of Korea Ertl Center for Electrochemistry and Catalysis Gwangju Institute of Science and Technology123 Cheomdangwagi-roBuk-giiGwangju 61005Republic of Korea

Alkaline hydrazine liquid fuel cells(AHFC) have been highlighted in terms of high power performance with non-precious metal catalysts.Although Fe-N-C is a promising non-Pt electrocatalyst for oxygen reduction reaction(ORR),the surface density of the active site is very low and the catalyst layer should be thick to acquire the necessary number of catalytic active sites.With this thick catalyst layer,it is important to have an optimum pore structure for effective reactant conveyance to active sites and an interface structure for faster charge transfer.Herein,we prepare a Fe-N-C catalyst with magnetite particles and hierarchical pore structure by steam activation.The steam activation process significantly improves the power performance of the AHFC as indicated by the lower IR and activation voltage losses.Based on a systematic characterization,we found that hierarchical pore structures improve the catalyst utilization efficiency of the AHFCs,and magnetite nanoparticles act as surface modifiers to reduce the interracial resistance between the electrode and the ion-exchange membrane.

关键词： Alkaline hydrazine fuel cell Oxygen reduction reaction Electrocatalyst Steam activation Ohmic loss Interfacial resistance Surface modifier

A Complete and Simple Solution to a Discrete-Time Finite-Capacity BMAP/D/c Queue

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Applied Mathematics 2012年第12期3卷 2169-2173页

作者： Nam K. Kim Mohan L. Chaudhry Bong K. Yoon Kilhwan Kim Defense Management College Korea National Defense University Seoul South Korea Department of Industrial Engineering Chonnam National University Gwangju South Korea Department of Management Engineering Sangmyung University Cheonan South Korea Department of Mathematics and Computer Science Royal Military College of Canada Kingston Canada

We consider a discrete-time multi-server finite-capacity queueing system with correlated batch arrivals and deterministic service times (of single slot), which has a variety of potential applications in slotted digital telecommunication systems and other related areas. For this queueing system, we present, based on Markov chain analysis, not only the steady-state distributions but also the transient distributions of the system length and of the system waiting time in a simple and unified manner. From these distributions, important performance measures of practical interest can be easily obtained. Numerical examples concerning the superposition of certain video traffics are presented at the end.

关键词： Discrete-Time Queue Batch Markovian Arrival Process Deterministic Service Time Multiple Server

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酞菁J聚自组装的研究进展

酞菁J聚自组装的研究进展