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KoNA:Korean Nucleotide Archive as A New Data Repository for Nucleotide Sequence Data

Genomics, Proteomics & Bioinformatics 2024年第1期22卷 161-167页

作者： Gunhwan Ko jae Ho Lee Young Mi Sim Wangho Song Byung-Ha Yoon Iksu Byeon Bang Hyuck Lee sang-Ok kim Jinhyuk Choi Insoo Jang Hyerin kim Jin Ok Yang Kiwon Jang Sora kim Jong-Hwan kim Jongbum Jeon jaeeun Jung Seungwoo Hwang Ji-Hwan Park Pan-Gyu kim Seon-Young kim Byungwook Lee Korea Bioinformation Center Korea Research Institute of Bioscience&BiotechnologyDaejeon 34141Republic of Korea

During the last decade,the generation and accumulation of petabase-scale high-throughput sequencing data have resulted in great challenges,including access to human data,as well as transfer,storage,and sharing of enormous amounts of *** promote data-driven biological research,the Korean government announced that all biological data generated from government-funded research projects should be deposited at the Korea BioData Station(K-BDS),which consists of multiple databases for individual data ***,we introduce the Korean Nucleotide Archive(KoNA),a repository of nucleotide sequence *** of July 2022,the Korean Read Archive in KoNA has collected over 477 TB of raw next-generation sequencing data from national genome *** ensure data quality and prepare for international alignment,a standard operating procedure was adopted,which is similar to that of the International Nucleotide Sequence Database *** standard operating procedure includes quality control processes for submitted data and metadata using an automated pipeline,followed by manual *** ensure fast and stable data transfer,a high-speed transmission system called GBox is used in ***,the data uploaded to or downloaded from KoNA through GBox can be readily processed using a cloud computing service called *** seamless coupling of KoNA,GBox,and Bio-Express enhances the data experience,including submission,access,and analysis of raw nucleotide *** not only satisfies the unmet needs for a national sequence repository in Korea but also provides datasets to researchers globally and contributes to advances in *** KoNA is available at https://***/kona/.

关键词： Korea BioData Station Nucleotide sequence Next-generation sequencing repository Genomics Deposition and access of big data

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Stable immobilization of lithium polysulfides using three-dimensional ordered mesoporous Mn_(2)O_(3) as the host material in lithium-sulfur batteries

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Carbon Energy 2024年第6期6卷 99-112页

作者： Sung Joon Park Yun Jeong Choi Hyun-seung kim Min Joo Hong Hongjun Chang Janghyuk Moon Young-Jun kim Junyoung Mun Ki jae kim Department of Energy Science Sungkyunkwan UniversitySuwonGyeonggi-doRepublic of Korea Department of Energy Engineering Konkuk UniversitySeoulRepublic of Korea Advanced Batteries Research Center Korea Electronic Technology InstituteSeongnamRepublic of Korea Department of Future Energy Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Department of Energy Systems Engineering Chung-Ang UniversitySeoulRepublic of Korea SKKU Advanced Institute of Nanotechnology Sungkyunkwan UniversitySuwonGyeonggi-doRepublic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwonRepublic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwonRepublic of Korea

Lithium-sulfur batteries(LSBs)have drawn significant attention owing to their high theoretical discharge capacity and energy ***,the dissolution of long-chain polysulfides into the electrolyte during the charge and discharge process(“shuttle effect”)results in fast capacity fading and inferior electrochemical *** this study,Mn_(2)O_(3)with an ordered mesoporous structure(OM-Mn_(2)O_(3))was designed as a cathode host for LSBs via KIT-6 hard templating,to effectively inhibit the polysulfide shuttle ***-Mn_(2)O_(3)offers numerous pores to confine sulfur and tightly anchor the dissolved polysulfides through the combined effects of strong polar-polar interactions,polysulfides,and sulfur chain *** OM-Mn_(2)O_(3)/S composite electrode delivered a discharge capacity of 561 mAh g^(-1) after 250 cycles at 0.5 C owing to the excellent performance of OM-Mn_(2)O_(3).Furthermore,it retained a discharge capacity of 628mA h g^(-1) even at a rate of 2 C,which was significantly higher than that of a pristine sulfur electrode(206mA h g^(-1)).These findings provide a prospective strategy for designing cathode materials for high-performance LSBs.

关键词： host material lithium-sulfur battery ordered mesoporous structure shuttle effect transition-metal oxides

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超分割放射对HeLa S-3球体的生长和细胞动力学的效应

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辐射研究与辐射工艺学报 1988年第4期6卷 18-24页

作者：何少琴,sang Hie kim,jae Ho kim N. Y. U. S. A. M.D. ph.D 上海上海医科大学肿瘤医院 Radiation Biology Laboratory Memorial Sloankettering Cancer Center New York N. Y. U. S. A. ph.D Radiation Biology Laboratory Memorial Sloankettering Cancer Center New York

临床上应用超分割放射治疗疗效不一,为了了解超分割放射的生物学特点,本实验采用200μm直径HeLaS-3球体为模型,从生长、集落形成率和细胞周期变化（用流式细胞计）等方面比较单次放射,每日一次2 Gy常规放射和两组超分割放射对人体肿瘤... 详细信息

临床上应用超分割放射治疗疗效不一,为了了解超分割放射的生物学特点,本实验采用200μm直径HeLaS-3球体为模型,从生长、集落形成率和细胞周期变化（用流式细胞计）等方面比较单次放射,每日一次2 Gy常规放射和两组超分割放射对人体肿瘤细胞的增殖和动力学的影响。结果:1,在相同总剂量条件下,超分割放射比常规放射和单次放射抑制球体生长作用小。2,球体受放射后由胰酶消化分散成单细胞,其集落形成率以超分割放射组为高。与第一结果相一致,提示在五天疗程中细胞有一定修复和再分布发生。3,细胞周期变化检测表明放射后都有G2+M期细胞比例增加,伴以G1和S期细胞比例减少。常规放射后G2+M期细胞比例较为恒定,而超分割放射后波动大。放射后RNA含量无明显变化。如采用较大直径内含乏氧细胞的球体为模型,在分割放射期间还可能有再充氧发生,实验结果可能和本实验差异较大。

关键词：肿瘤多细胞球体超分割放射细胞动力学

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Nanoparticle Exsolution on Perovskite Oxides:Insights into Mechanism,Characteristics and Novel Strategies

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Nano-Micro Letters 2024年第2期16卷 312-346页

作者： Yo Han kim Hyeongwon Jeong Bo‑Ram Won Hyejin Jeon Chan‑ho Park Dayoung Park Yeeun kim Somi Lee jae‑ha Myung Department of Materials Science and Engineering Incheon National UniversityIncheon 22012Republic of Korea

Supported nanoparticles have attracted considerable attention as a promising catalyst for achieving unique properties in numerous applications,including fuel cells,chemical conversion,and *** demonstrate high activity by expanding the number of active sites,but they also intensify deactivation issues,such as agglomeration and poisoning,*** for bottomup synthesis of supported nanoparticles has emerged as a breakthrough technique to overcome limitations associated with conventional *** are uniformly exsolved from perovskite oxide supports and socketed into the oxide support by a one-step reduction *** uniformity and stability,resulting from the socketed structure,play a crucial role in the development of novel ***,tremendous research efforts have been dedicated to further controlling exsolution *** effectively address exsolution at a more precise level,understanding the underlying mechanism is *** review presents a comprehensive overview of the exsolution mechanism,with a focus on its driving force,processes,properties,and synergetic strategies,as well as new pathways for optimizing nanocatalysts in diverse applications.

关键词： Supported nanoparticle Exsolution In situ growth Mechanism Perovskite oxide Catalyst

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Microsphere-assisted hyperspectral imaging:super-resolution,non-destructive metrology for semiconductor devices

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Light(Science & Applications) 2024年第6期13卷 1098-1111页

作者： Jangryul Park Youngsun Choi Soonyang Kwon Youngjun Lee Jiwoong kim jae-joon kim Jihye Lee Jeongho Ahn Hidong Kwak Yusin Yang Taeyong Jo Myungjun Lee Kwangrak kim Metrology and Inspection Equipment R&D Team Mechatronics ResearchSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea Process Development Department DRAM Process Development TeamSemiconductor R&D CenterSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea Process Development Department Semiconductor R&D CenterSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea

As semiconductor devices shrink and their manufacturing processes advance,accurately measuring in-cell critical dimensions(CD)becomes increasingly *** test element group(TEG)measurements are becoming inadequate for representing the fine,repetitive patterns in cell *** non-destructive metrology technologies like optical critical dimension(OCD)are limited due to their large spot diameter of approximately 25μm,which impedes their efficacy for detailed in-cell structural ***,there is a pressing need for small-spot and non-destructive metrology *** address this limitation,we demonstrate a microsphere-assisted hyperspectral imaging(MAHSI)system,specifically designed for small spot optical metrology with *** microsphere-assisted super-resolution imaging,this system achieves an optical resolution of 66 nm within a field of view of 5.6μm×5.6μ*** approach effectively breaks the diffraction limit,significantly enhancing the magnification of the *** MAHSI system incorporating hyperspectral imaging with a wavelength range of 400–790 nm,enables the capture of the reflection spectrum at each camera *** achieved pixel resolution,which is equivalent to the measuring spot size,is 14.4 nm/pixel and the magnification is *** MAHSI system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks,areas previously challenging to inspect with conventional OCD *** our knowledge,this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices.

关键词： metrology resolution enable

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Pedicled abdominal flap using deep inferior epigastric artery perforators for forearm reconstruction: A case report

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World Journal of Clinical Cases 2024年第4期12卷 828-834页

作者： jae Hyung Jeon Kyung Wook kim Hong Bae Jeon Department of Plastic and Reconstructive Surgery Dankook University HospitalCheonan 31116ChungnamSouth Korea Department of Orthopaedic Surgery Dankook University HospitalDankook University College of MedicineCheonan 31116ChungnamSouth Korea Department of Plastic and Reconstructive Surgery Dankook University HospitalDankook University College of MedicineCheonan 31116ChungnamSouth Korea

BACKGROUND Pedicled abdominal flaps are a widely used surgical technique for forearm reconstruction in patients with soft tissue ***,some drawbacks include restricted flap size,partial flap loss,and donor-site *** address these concerns,we present a case of a pedicled abdominal flap using the deep inferior epigastric artery perforators(DIEP)for forearm reconstruction in a patient with a large soft tissue *** SUMMARY A 46-year-old male patient was admitted to our hospital with forearm injury caused by a pressing machine.A 15 cm×10 cm soft tissue defect with complete rupture of the ulnar side structures of the forearm was *** week after orthopedic management of the neurovascular injury and fractures using the first stage of Masquelet technique,the patient was referred to the plastic and recon-structive surgery department for wound *** debridement and negative-pressure wound therapy revealed a 20 cm×15 cm soft tissue defect.A pedicle abdominal flap with the DIEP was used to cover the *** weeks later,the flap was detached from the abdomen,and the abdominal defect was directly ***,the second stage of Masquelet technique was performed at the fracture site at week ***,all donor and recipient sites healed without complications,such as flap dehiscence,infection,hematoma,or *** site osteosynthesis was achieved without *** Pedicled abdominal flap using the DIEP provides a reliable option for forearm reconstruction in patients with large soft tissue defects.

关键词： Forearm injury Open fracture reduction Perforator flap Deep inferior epigastric artery perforators Case report

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Effect of Meteorological Data Assimilation on Regional Air Quality Forecasts over the Korean Peninsula

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Journal of Meteorological Research 2024年第2期38卷 262-284页

作者： Yunjae CHO Hyun Mee kim Eun-Gyeong YANG Yonghee LEE jae-Bum LEE Soyoung HA Department of Atmospheric Sciences Yonsei UniversitySeoul 03722Republic of Korea Air Quality Forecasting Center National Institute of Environmental ResearchIncheon 22689Republic of Korea National Center for Atmospheric Research BoulderCO 80305USA University of Maryland Baltimore County BaltimoreMD 21250USA Global Modeling and Assimilation Office NASA Goddard Space Flight CenterGreenbeltMD 20771USA

The Weather Research and Forecasting model coupled with Chemistry(WRF-Chem),a type of online coupled chemistry-meteorology model(CCMM),considers the interaction between air quality and meteorology to improve air quality *** data assimilation(DA)can be used to reduce uncertainty in meteorological field,which is one factor causing prediction uncertainty in the *** this study,WRF-Chem and three-dimensional variational DA were used to examine the impact of meteorological DA on air quality and meteorological forecasts over the Korean *** nesting model domains were configured over East Asia(outer domain)and the Korean Peninsula(inner domain).Three experiments were conducted by using different DA domains to determine the optimal model domain for the meteorological *** the meteorological DA was performed in the outer domain or both the outer and inner domains,the root-mean-square error(RMSE),bias of the predicted particulate matter(PM)concentrations,and the RMSE of predicted meteorological variables against the observations were smaller than those in the experiment where the meteorological DA was performed only in the inner *** indicates that the improvement of the synoptic meteorological fields by DA in the outer domain enhanced the meteorological initial and boundary conditions for the inner domain,subsequently improving air quality and meteorological *** to the experiment without meteorological DA,the RMSE and bias of the meteorological and PM variables were smaller in the experiments with *** effect of meteorological DA on the improvement of PM predictions lasted for approximately 58-66 h,depending on the ***,the uncertainty reduction in the meteorological initial condition by the meteorological DA contributed to a reduction of the forecast errors of both meteorology and air quality.

关键词： meteorological data assimilation regional air quality forecast particulate matter concentration optimal model domain forecast error WRF-Chem

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Realizing High Thermoelectric Performance in n-Type Se-Free Bi2Te3 Materials by Spontaneous Incorporation of FeTe2 Nanoinclusions

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Energy & Environmental Materials 2024年第4期7卷 344-354页

作者： Jamil Ur Rahman Woo Hyun Nam Yong-jae Jung Jong Ho Won Jong-Min Oh Nguyen Van Du Gul Rahman Víctor M.García-Suárez Ran He Kornelius Nielsch Jung Young Cho Won-Seon Seo Jong Wook Roh sang-il kim Soonil Lee Kyu Hyoung Lee Hyun Sik kim Weon Ho Shin Leibniz Institute for Solid State and Materials Research Advanced Materials Convergence R&D Division Korea Institute of Ceramic Engineering & Technology Department of Electronic Materials Engineering Kwangwoon University Department of Energy Engineering Dankook University Faculty of Fundamental Science Phenikaa University Department of Physics Quaid-i-Azam University Departamento de Física Universidad de Oviedo Nanomaterials and Nanotechnology Research Center-CINN Department of Materials Science and Engineering Yonsei University School of Nano & Materials Science and Engineering Kyungpook National University Department of Materials Science and Engineering University of Seoul School of Materials Science and Engineering Changwon National University

Bi2Te3-based materials have drawn much attention from the thermoelectric community due to their excellent thermoelectric performance near room ***,the stability of existing n-type Bi2（Te,Se）3materials is still low due to the evaporation energy of Se (37.70 kJ mol-1) being much lower than that of Te (52.55 kJ mol-1).The evaporated Se from the material causes problems in interconnects of the module while degrading the efficiency.

关键词： Bi2Te3 energy harvesting FeTe2 nanoinclusion n-type materials thermoelectric

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Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes

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Computers, Materials & Continua 2024年第1期78卷 1207-1225页

作者： Zahid Farooq Khan Muhammad Ramzan Mudassar Raza Muhammad Attique Khan Khalid Iqbal Taerang kim jae-Hyuk Cha Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirut13-5053Lebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea

Accurate detection and classification of artifacts within the gastrointestinal(GI)tract frames remain a significant challenge in medical image *** science combined with artificial intelligence is advancing to automate the diagnosis and treatment of numerous *** to this is the development of robust algorithms for image classification and detection,crucial in designing sophisticated systems for diagnosis and *** study makes a small contribution to endoscopic image *** proposed approach involves multiple operations,including extracting deep features from endoscopy images using pre-trained neural networks such as Darknet-53 and ***,feature optimization utilizes the binary dragonfly algorithm(BDA),with the fusion of the obtained feature *** fused feature set is input into the ensemble subspace k nearest neighbors(ESKNN)*** Kvasir-V2 benchmark dataset,and the COMSATS University Islamabad(CUI)Wah private dataset,featuring three classes of endoscopic stomach images were *** assessments considered various feature selection techniques,including genetic algorithm(GA),particle swarm optimization(PSO),salp swarm algorithm(SSA),sine cosine algorithm(SCA),and grey wolf optimizer(GWO).The proposed model excels,achieving an overall classification accuracy of 98.25% on the Kvasir-V2 benchmark and 99.90% on the CUI Wah private *** approach holds promise for developing an automated computer-aided system for classifying GI tract syndromes through endoscopy images.

关键词： Feature fusion Darknet-53 Xception binary dragonfly algorithm ensemble

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Human Gait Recognition for Biometrics Application Based on Deep Learning Fusion Assisted Framework

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Computers, Materials & Continua 2024年第1期78卷 357-374页

作者： Ch Avais Hanif Muhammad Ali Mughal Muhammad Attique Khan Nouf Abdullah Almujally Taerang kim jae-Hyuk Cha Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon Department of Computer Science HITEC UniversityTaxila47080Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Hanyang UniversitySeoul04763Korea

The demand for a non-contact biometric approach for candidate identification has grown over the past ten *** on the most important biometric application,human gait analysis is a significant research topic in computer *** have paid a lot of attention to gait recognition,specifically the identification of people based on their walking patterns,due to its potential to correctly identify people far *** recognition systems have been used in a variety of applications,including security,medical examinations,identity management,and access *** systems require a complex combination of technical,operational,and definitional *** employment of gait recognition techniques and technologies has produced a number of beneficial and well-liked *** proposes a novel deep learning-based framework for human gait classification in video *** framework’smain challenge is improving the accuracy of accuracy gait classification under varying conditions,such as carrying a bag and changing *** proposed method’s first step is selecting two pre-trained deep learningmodels and training fromscratch using deep transfer ***,deepmodels have been trained using static hyperparameters;however,the learning rate is calculated using the particle swarmoptimization(PSO)***,the best features are selected from both trained models using the Harris Hawks controlled Sine-Cosine optimization *** algorithm chooses the best features,combined in a novel correlation-based fusion ***,the fused best features are categorized using medium,bi-layer,and tri-layered neural *** the publicly accessible dataset known as the CASIA-B dataset,the experimental process of the suggested technique was carried out,and an improved accuracy of 94.14% was *** achieved accuracy of the proposed method is improved by the recent state-of-the-art techniques that show the significance of this wor

关键词： Gait recognition covariant factors biometric deep learning fusion feature selection

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