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Coherent interface driven super-plastic elongation of brittle intermetallic nano-fibers at room temperature

Journal of Materials Science & Technology 2022年第20期115卷 97-102页

作者： Eun-Ae Choi Seung Zeon Han Hyung Giun Kim Jee Hyuk Ahn Sung Hwan Lim Sangshik Kim nong-moon hwang Kwangho Kim Jehyun Lee Department of Special Alloy Korea Institute of Materials ScienceChangwon 642-831Korea Gangwon Regional Division Korea Institute of Industrial TechnologyGangneung 210-340Korea Department of Advanced Materials Science&Engineering Kangwon National UniversityChuncheon 200-701Korea Department of Materials Science and Engineering ReCAPTGyeongsang National UniversityChinju 660-701Korea Department of Materials Science and Engineering Seoul National UniversitySeoul 151-744Korea Department of Materials Science and Engineering Pusan National UniversityBusan 46241Korea Department of Materials Science and Engineering Changwon National UniversityChangwon 641-773Korea

The intermetallic compound such as Ni_(2)Si has a brittle ***,monolithic intermetallic compounds have not yet been prepared by mechanical *** mechanical drawing of bulk CuNi_(2)Si alloy at room temperature,we observed more than 400%plastic elongation of hard and brittle Ni_(2)Si intermetallic *** calculation based on the density functional theory reveals that the fully coherent interface induces strain on the intermetallic compound surrounded by the matrix,and lowers the intrinsic stacking fault energy below the level required to break an interatomic *** new interface between the Ni_(2)Si intermetallic and Cu matrix formed by the plastic deformation is as stable as the original coherent interface formed by precipitation,and the activation energy of the newly formed interface to slip is similar to that of the Cu *** of these make plastic deformation of brittle Ni_(2)Si intermetallic possible by slip without failure.

关键词： Ni_(2)Si Intermetallic compound Plastic deformation Precipitation Brittle fiber Interface Density functional theory

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Both metaxin and Tom20 together with two mitochondria-specific motifs support mitochondrial targeting of dual-targeting AtSufE1

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Journal of Integrative Plant Biology 2022年第8期64卷 1596-1613页

作者： Seungjin Woo Byeongho moon Inhwan hwang Department of Life Sciences Pohang University of Science and TechnologyPohang 790‐784Korea

Plant cells have two endosymbiotic organelles,chloroplasts,and *** organelles perform specific functions that depend on organelle-specific *** majority of chloroplast and mitochondrial proteins are specifically imported by the transit peptide and presequence,***,a significant number of proteins are also dually targeted to these two ***,it is not fully understood how proteins are dually targeted to both chloroplasts and *** this study,the mechanism underlying mitochondrial targeting of dual targeting At Suf E1 in Arabidopsis was *** N-terminal fragment containing 80 residues of AtSufE1(AtSufE1N80)was sufficient to confer dual targeting of reporter protein,At SufE1N80:GFP,in *** sequence motifs,two arginine residues at 15and 21positions,and amino acid(aa)sequence motif AKTLLLRPLK from the 31to 40aa position,were responsible for targeting to mitochondria a portion of reporter proteins amid the chloroplast *** sequence motif PSEVPFRRT from the 41 stto 50 thaa position constitutes a common motif for targeting to both chloroplasts and *** mitochondrial import of At Suf E1:N80,Metaxin played a critical *** addition,Bi FC and protein pull-down experiments showed that At Suf E1N80 specifically interacts with import receptors,Metaxin and *** interaction of At Suf E1N80 with Metaxin was required for the interaction with *** on these results,we propose that mitochondrial targeting of dual-targeting At Suf E1 is mediated by both mitochondria-specific and common sequence motifs in the signal sequence through the interaction with import receptors,Metaxin and Tom20,in a successive manner.

关键词： AtSufE1 chloroplasts common motif dual targeting metaxin mitochondria mitochondria-specific motif Tom20

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Broadcast-Based Spatial Queries

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Journal of Computer Science & Technology 2005年第6期20卷 811-821页

作者： Kwang-Jin Park moon-Bae Song Chong-Sun hwang Department of Computer Science and Engineering Korea University 5-1 Anam-Dong Seongbuk-Ku Seoul 136-701 Korea

Indexing techniques have been developed for wireless data broadcast environments, in order to conserve the scarce power resources of the mobile clients. However, the use of interleaved index segments in a broadcast cycle increases the average access latency for the clients. In this paper, the broadcast-based spatial query processing methods （BBS） are presented for the location-based services. In the BBS, broadcasted data objects are sorted sequentially based on their locations, and the server broadcasts the location dependent data along with an index segment. Then, a sequential prefetehing and caching scheme is designed to reduce the query response time. The performance of this scheme is investigated in relation to various environmental variables, such as the distributions of the data objects, the average speed of the clients and the size of the service area.

关键词： broadcasting location-aware caching prefetching mobile computing

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Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting

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Computers, Materials & Continua 2021年第9期68卷 2945-2959页

作者： Jaeuk moon Seungwon Jung Sungwoo Park Eenjun hwang School of Electrical Engineering Korea UniversitySeoul02841Korea

One popular strategy to reduce the enormous number of illnesses and deaths from a seasonal influenza pandemic is to obtain the influenza vaccine on ***,vaccine production preparation must be done at least six months in advance,and accurate long-term influenza forecasting is essential for *** diverse machine learning models have been proposed for influenza forecasting,they focus on short-term forecasting,and their performance is too dependent on input *** a country’s longterm influenza forecasting,typical surveillance data are known to be more effective than diverse external data on the *** propose a two-stage data selection scheme for worldwide surveillance data to construct a longterm forecasting model for influenza in the target *** the first stage,using a simple forecasting model based on the country’s surveillance data,we measured the change in performance by adding surveillance data from other countries,shifted by up to 52 *** the second stage,for each set of surveillance data sorted by accuracy,we incrementally added data as input if the data have a positive effect on the performance of the forecasting model in the first *** the selected surveillance data,we trained a new longterm forecasting model for influenza and perform influenza forecasting for the target *** conducted extensive experiments using six machine learning models for the three target countries to verify the effectiveness of the proposed *** report some of the results.

关键词： Influenza data selection machine learning forecasting

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Graph Construction Method for GNN-Based Multivariate Time-Series Forecasting

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Computers, Materials & Continua 2023年第6期75卷 5817-5836页

作者： Wonyong Chung Jaeuk moon Dongjun Kim Eenjun hwang School of Electrical Engineering Korea UniversitySeoul02841Korea

Multivariate time-series forecasting(MTSF)plays an important role in diverse real-world *** achieve better accuracy in MTSF,time-series patterns in each variable and interrelationship patterns between variables should be considered ***,graph neural networks(GNNs)has gained much attention as they can learn both patterns using a *** accurate forecasting through GNN,a well-defined graph is ***,existing GNNs have limitations in reflecting the spectral similarity and time delay between nodes,and consider all nodes with the same weight when constructing *** this paper,we propose a novel graph construction method that solves aforementioned *** first calculate the Fourier transform-based spectral similarity and then update this similarity to reflect the time ***,we weight each node according to the number of edge connections to get the final graph and utilize it to train the GNN *** experiments on various datasets,we demonstrated that the proposed method enhanced the performance of GNN-based MTSF models,and the proposed forecasting model achieve of up to 18.1%predictive performance improvement over the state-of-the-art model.

关键词： Deep learning graph neural network multivariate time-series forecasting

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Translation rate underpins specific targeting of N-terminal transmembrane proteins to mitochondria

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Journal of Integrative Plant Biology 2023年第6期65卷 1505-1520页

作者： Junho Lee Byeongho moon Dong Wook Lee Inhwan hwang Department of Life Science Pohang University of Science and TechnologyPohang 790-784South Korea Department of Integrative Food Bioscience and BiotechnologyChonnam National UniversityGwangju 61186South Korea Department Bioenergy Science and Technology Chonnam National UniversityGwangju 61186South Korea

Protein biogenesis is a complex process,and complexity is greatly increased in eukaryotic cells through specific targeting of proteins to different *** direct targeting,organellar proteins carry an organelle-specific targeting signal for recognition by organelle-specific import ***,the situation is confusing for transmembrane domain(TMD)-containing signalanchored(SA)proteins of various organelles because TMDs function as an endoplasmic reticulum(ER)targeting *** ER targeting of SA proteins is well understood,how they are targeted to mitochondria and chloroplasts remains ***,we investigated how the targeting specificity of SA proteins is determined for specific targeting to mitochondria and *** targeting requires multiple motifs around and within TMDs:a basic residue and an arginine-rich region flanking the N-and C-termini of TMDs,respectively,and an aromatic residue in the C-terminal side of the TMD that specify mitochondrial targeting in an additive *** motifs play a role in slowing down the elongation speed during translation,thereby ensuring mitochondrial targeting in a cotranslational *** contrast,the absence of any of these motifs individually or together causes at varying degrees chloroplast targeting that occurs in a post-translational manner.

关键词： arginine-rich region ER targeting mitochondria targeting organelle targeting TMD translational slowdown transmembrane domain

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Minimum Orders of Eulerian Oriented Digraphs with Given Diameter

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Acta Mathematica Sinica,English Series 2014年第7期30卷 1125-1132页

作者： Yoomi RHO Byeong moon KIM Woonjae hwang Byung Chul SONG Department of Mathematics University of Incheon Department of Mathematics Gangneung-Wonju National University Department of Information and Mathematics Korea University

A digraph D is oriented if it does not contain 2-cycles. If an oriented digraph D has a directed eulerian path, it is an oriented eulerian digraph. In this paper, when an oriented eulerian digraph D has minimum out-degree 2 and a diameter d, we find the minimum order of D. In addition, when D is 2-regular with diameter 4rn （m≥2）, we classify the extremal cases.

关键词： Oriented digraph eulerian digraph minimum order diameter

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Signal processing for real-time identification of similar metals by laser-induced breakdown spectroscopy

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Plasma Science and Technology 2019年第3期21卷 84-91页

作者： Sungho SHIN Youngmin moon Jaepil LEE Hyemin JANG Euiseok hwang Sungho JEONG School of Mechanical Engineering Gwangju Institute of Science and Technology

Laser-induced breakdown spectroscopy(LIBS) is regarded as a promising technique for realtime sorting of scrap metals due to its capability of fast multi-elemental and in-air analysis. This work reports a method for signal processing which ensures high accuracy and high speed during similar metal sorting by LIBS. Similar metals such as aluminum alloys or stainless steel are characterized by nearly the same constituent elements with slight variations in elemental concentration depending on metal type. In the proposed method, the original data matrix is substantially reduced for fast processing by selecting new input variables(spectral lines) using the information for the constituent elements of similar metals. Specifically, principal component analysis(PCA) of full-spectra LIBS data was performed and then, based on the loading plots, the input variables of greater significance were selected in the order of higher weights for each constituent element. The results for the classification test with aluminum alloy, copper alloy,stainless steel and cast steel showed that the classification accuracy of the proposed method was nearly the same as that of full-spectra PCA, but the computation time was reduced by a factor of 20 or more. The results demonstrated that incorporating the information for constituent elements can significantly accelerate classification speed without loss of accuracy.

关键词： laser-induced breakdown spectroscopy classification similar metal reduced number of spectral lines

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Study of cerium-promoted rhodium alumina catalyst as a steam reforming catalyst for treatment of spent solvents

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Journal of Rare Earths 2014年第9期32卷 831-836页

作者： Hee-Chul Yang Min-Woo Lee Ho-Sang hwang Jei-Kwon moon Dong-Yong Chung Korea Atomic Energy Research Institute

This study attempted to develop an appropriate catalyst used for the steam reforming of gasified spent solvents. Rh2O3/ CeOE-Al2O3 catalysts with various CeO2 loadings were prepared and heated at different temperatures of 500 and 800 ℃, and their surface properties were studied using X-ray diffraction （XRD）, X-ray photoelectron spectroscopy （XPS）, transmission electron microscopy （TEM）, temperature programmed reduction （TPR） and Bmmauer-Emmett-Teller （BET） analyses. Rhodium existed in the form of Rh2O3, regardless of the sample composition as well as the heating temperature. In the tested range of cerium addition （up to 12 times the rhodium mass）, no significant changes in BET surface areas and binding energy corresponding to Rh 3d5/2 were observed. Instead, the addition of cerium led to a greatly enhanced dispersion of rhodium nanoparticles, and no agglomeration of rhodium was observed for samples heated even at 800 ℃. Honeycomb monolith rhodium catalysts promoted with cerium were fabricated and tested for the steam reforming of a gasified spent solvent, mainly consisting of butylene （C4H8）. The test results suggested that a cerium-promoted rhodium catalyst could be used as an appropriate reforming catalyst for treating low-quality non-methane hydrocarbons without the formation of coke at high temperatures of up to 900 ℃.

关键词： cerium rhodium catalyst steam reforming spent resin rare earths

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

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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

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