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Dimensionality-driven metal to Mott insulator transition in two-dimensional 1T-TaSe2

National Science Review 2024年第3期11卷 108-118页

作者： Ning Tian Zhe Huang Bo Gyu Jang Shuaifei Guo Ya-Jun Yan Jingjing Gao Yijun Yu Jinwoong Hwang Cenyao Tang Meixiao Wang Xuan Luo Yu Ping Sun Zhongkai Liu dong-Lai Feng Xianhui Chen Sung-Kwan Mo Minjae kim Young-Woo Son Dawei Shen Wei Ruan Yuanbo Zhang State Key Laboratory of Surface Physics New Cornerstone Science Laboratory and Department of PhysicsFudan University Shanghai Qi Zhi Institute Shanghai Research Center for Quantum Sciences Institute for Nanoelectronic Devices and Quantum Computing Fudan University Zhangjiang Fudan International Innovation Center Fudan University State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology(SIMIT)Chinese Academy of Sciences School of Physical Science and Technology ShanghaiTech University Korea Institute for Advanced Study School of Emerging Technology and Department of Physics University of Science and Technology of China Advanced Light Source Lawrence Berkeley National Laboratory ShanghaiTech Laboratory for Topological Physics Key Laboratory of Materials Physics Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of Sciences High Magnetic Field Laboratory Hefei Institutes of Physical Science Chinese Academy of Sciences Collaborative Innovation Centre of Advanced Microstructures Nanjing University Department of Physics University of Science and Technology of China and Key Laboratory of Strongly Coupled Quantum Matter Physics Chinese Academy of Sciences National Synchrotron Radiation Laboratory University of Science and Technology of China

Two-dimensional materials represent a major frontier for research into exotic many-body quantum phenomena. In the extreme two-dimensional limit, electron-electron interaction often dominates over other electronic energy scales, leading to strongly correlated effects such as quantum spin liquid and unconventional *** dominance is conventionally attributed to the lack of electron screening in the third dimension. Here, we discover an intriguing metal to Mott insulator transition in 1T-TaSe2that defies conventional wisdom. Specifically, we find that dimensionality crossover, instead of reduced screening, drives the transition in atomically thin 1T-TaSe2. A dispersive band crossing the Fermi level is found to be responsible for the bulk metallicity in the material. Reducing the dimensionality,however, effectively quenches the kinetic energy of these initially itinerant electrons, and drives the material into a Mott insulating *** dimensionality-driven metal to Mott insulator transition resolves the long-standing dichotomy between metallic bulk and insulating surface of 1T-TaSe2. Our work further reveals a new pathway for modulating two-dimensional materials that enables exploring strongly correlated systems across uncharted parameter space.

关键词： two-dimensional materials 1T-TaSe2 dimensionality crossover metal to Mott insulator transition

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Capsosiphon fulvescens suppresses LPS-stimulated inflammatory responses by suppressing TLR4/NF-κB activation in RAW264.7 murine macrophages

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Asian Pacific Journal of Tropical Biomedicine 2024年第3期14卷 115-126页

作者： Seon Yeong Ji EunJin Bang Hyun Hwangbo Min Yeong kim Da Hye kim Su Hyun Hong Shin-Hyung Park Chang-Young Kwon Gi-Young kim You-Jin Jeon Suengmok Cho Yung Hyun Choi Department of Biochemistry Dong-eui University College of Korean MedicineBusan 47227Republic of Korea Basic Research Laboratory for the Regulation of Microplastic-Mediated Diseases and Anti-Aging Research Center Dong-eui UniversityBusan 47227Republic of Korea Department of Pathology Dong-eui University College of Korean MedicineBusan 47227Republic of Korea Department of Oriental Neuropsychiatry Dong-eui University College of Korean MedicineBusan 47227Republic of Korea Department of Marine Life Science Jeju National UniversityJeju 63243Republic of Korea Department of Food Science and Technology/Institute of Food Science Pukyong National UniversityBusan 48513Republic of Korea

Objective:To evaluate the effects of Capsosiphon fulvescens(***)ethanolic extract on inflammation in lipopolysaccharide(LPS)-induced RAW296.7 ***:The protective effects of *** ethanolic extract on LPS-induced inflammation in RAW264.7 macrophages were assessed using biochemical analysis,including enzyme-linked immunosorbent assay,quantitative reverse transcription-polymerase chain reaction,and Western blot *** examine reactive oxygen species(ROS)production,flow cytometry analysis,and immunofluorescence staining were ***,the modulatory effect of *** ethanolic extract on NF-κB activation was ***:*** ethanolic extract significantly attenuated LPS-induced levels of pro-inflammatory cytokines and notably reduced the secretion and mRNA levels of LPS-mediated matrix *** addition,*** ethanolic extract decreased ROS production and suppressed the TLR4/NF-κB signaling ***:*** ethanolic extract alleviates inflammation as well as oxidative stress by modulating the TLR4/NF-κB signaling in LPS-induced RAW264.7 *** can be used as a potential therapeutic agent to suppress inflammation and oxidative stress-associated diseases.

关键词： Capsosiphon fulvescens Inflammation Oxidative stress NF-κB Nrf2 TLR4

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Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis

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Energy and Built Environment 2024年第1期5卷 110-129页

作者： Meng Su Jiying Liu Moon Keun kim Xiaozhou Wu School of Thermal Engineering Shandong Jianzhu UniversityJinan 250101China Department of Civil Engineering and Energy Technology Oslo Metropolitan UniversityOslo N-0130Norway School of Civil Engineering Dalian University of TechnologyDalianChina

Pre-dehumidification time(τ_(pre))and pre-dehumidification energy consumption(E_(pre))play important roles in preventing the condensation of moisture on the floors of rooms that use a radiant floor cooling(RFC)***,there are few theoretical or experimental studies that focus on these two important *** this study,an artificial neural network(ANN)was used to predict condensation risk for the integration of RFC systems with mixed ventilation(MV),stratum ventilation(SV),and displacement ventilation(DV)systems.A genetic algorithm-back-propagation(GA-BP)neural network model was established to predict τ_(pre) and E_(pre).Both training data and validation data were obtained from tests in a computational fluid dynamics(CFD)*** results show that the established GA-BP model can predict τ_(pre) and E_(pre) *** coefficient of determination(R^(2))of τ_(pre) and of E_(pre) were,respectively,0.973 and *** an RFC system integrated with an MV,SV,or DV system,the lowest values of τ_(pre) and E_(pre) were with the DV system,23.1 s and 0.237 kWh,respectively,for a 67.5 m^(3) ***,the best pre-dehumidification effect was with integration of the DV and RFC *** study showed that an ANN-based method can be used for predictive control for condensation prevention in RFC *** also provides a novel and effective method by which to assess the pre-dehumidification control of radiant floor surfaces.

关键词： Condensation prevention Radiant floor cooling Ventilation system genetic algorithm BP neural network

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Alleviatory effect of isoquercetin on benign prostatic hyperplasia via IGF-1/PI3K/Akt/mTOR pathway

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Food Science and Human Wellness 2024年第3期13卷 1698-1710页

作者： Young-Jin Choi Meiqi Fan Nishala Erandi Wedamulla Yujiao Tang Eun-Kyung kim Department of Food Science and Nutrition Dong-A UniversityBusan 49315Republic of Korea Center for Silver-targeted Biomaterials Brain Busan 21 Plus programDong-A UniversityBusan 49315Republic of Korea Department of Health Sciences the Graduate School of Dong-A UniversityBusan 49315Republic of Korea Division of Food Bioscience College of Biomedical and Health SciencesKonkuk UniversityChungju 27478Republic of Korea Department of Export Agriculture Faculty of Animal Science and Export AgricultureUva Wellassa UniversityBadulla 90000Sri Lanka School of Bio-Science and Food Engineering Changchun University of Science and TechnologyChangchun 130600China Nutritional Education Major Graduate School of EducationDong-A UniversityBusan 49315Republic of Korea Nutrinomics Lab.Co. Ltd.Busan 49315Republic of Korea

We evaluated the effect of isoquercetin(quercetin-O-3-glucoside-quercetin,IQ)as a functional component of Abeliophyllum disistichum Nakai ethanol extract(ADLE)on prostate cell proliferation and apoptosis and its effects on the IGF-1/PI3K/Akt/mTOR pathway in benign prostatic hyperplasia(BPH).Metabolites in ADLE were analyzed using UHPLC-qTOF-MS and *** was orally administered(1 or 10 mg/kg)to a testosterone propionate-induced BPH rat model,and its effects on the prostate weight were *** effect of IQ on androgen receptor(AR)signaling was analyzed in LNCaP *** IGF-1 and IQ affect the IGF-1/PI3K/Akt/mTOR pathway in BPH-1 cells was also *** metabolites in ADLE were identified and quantified,which confirmed that ADLE contained abundant IQ(20.88 mg/g).IQ significantly reduced the prostate size in a concentration-dependent manner in a BPH rat model,and significantly decreased the expression of AR signaling factors in the rat prostate tissue and LNCaP cells in a concentration-dependent *** also inhibited the PI3K/AKT/mTOR pathway activated by IGF-1 treatment in BPH-1 *** BPH-1 cells,IQ led to G0/G1 arrest and suppressed the expression of proliferation factors while inducing ***,IQ shows potential for use as a pharmaceutical and nutraceutical for BPH.

关键词： Isoquercetin Benign prostatic hyperplasia Androgen receptor signaling PI3K/Akt/mtor pathway

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Byte Frequency Based Indicators for Crypto-Ransomware Detection from Empirical Analysis

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Journal of Computer Science & Technology 2022年第2期37卷 423-442页

作者： geun Yong kim Joon-Young Paik Yeongcheol kim Eun-Sun Cho Department of Computer Science and Engineering Chungnam National UniversityDaejeon 34134South Korea School of Computer Science and Technology Tiangong UniversityTianjin 300387China

File entropy is one of the major indicators of crypto-ransomware because the encryption by ransomware increases the randomness of file ***,entropy-based ransomware detection has certain limitations;for example,when distinguishing ransomware-encrypted files from normal files with inherently high-level entropy,misclassification is very *** addition,the entropy evaluation cost for an entire file renders entropy-based detection impractical for large *** this paper,we propose two indicators based on byte frequency for use in ransomware detection;these are termed EntropySA and DistSA,and both consider the interesting characteristics of certain file subareas termed“sample areas”(SAs).For an encrypted file,both the sampled area and the whole file exhibit high-level randomness,but for a plain file,the sampled area embeds informative structures such as a file header and thus exhibits relatively low-level randomness even though the entire file exhibits high-level *** and DistSA use“byte frequency”and a variation of byte frequency,respectively,derived from sampled *** indicators cause less overhead than other entropy-based detection methods,as experimentally proven using realistic ransomware *** evaluate the effectiveness and feasibility of our indicators,we also employ three expensive but elaborate classification models(neural network,support vector machine and threshold-based approaches).Using these models,our experimental indicators yielded an average Fl-measure of 0.994 and an average detection rate of 99.46%for file encryption attacks by realistic ransomware samples.

关键词： computer security cryptography machine learning ransomware

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One dimensional pea-shaped NiSe_(2) nanoparticles encapsulated in N-doped graphitic carbon fibers to boost redox reversibility in sodium-ion batteries

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Journal of Materials Science & Technology 2024年第1期168卷 215-226页

作者： Hyunjeong Gim Achmad Yanuar Maulana Jiwon Choi Jungwook Song Boram Yun Yuri Jeong Nahyun An Myeongkee Park Cybelle M.Futalan Jongsik kim Department of Chemical Engineering(BK21 FOUR Graduate Program) Dong-A UniversityBusan 49315Korea(the Republic of) Department of Chemistry Dong-A UniversityBusan 49315Korea(the Republic of) Department of Chemistry Pukyong National UniversityBusan 48513Korea(the Republic of) Institute of Civil Engineering University of the PhilippinesDiliman 1127Philippines

In recent years,sodium-ion batteries(SIBs)have emerged as a promising technology for energy storage systems(ESSs)because of the abundance and affordability of ***,metal selenides have been studied as promising high-performance conversion-type anode materials in *** them,nickel se-lenide(NiSe_(2))has received considerable attention due to its high theoretical capacity of 495 mAh g^(-1)and ***,it still suffers from poor cycling stability because of the low electrochemical reactivity,large volume expansion,and structural instability during *** address these challenges,NiSe_(2)nanoparticles encapsulated in N-doped graphitic carbon fibers(NiSe_(2)@NGCF)were synthesized by using ZIF-8 as a ***_(2)@NGCF showed a high discharge capacity of 558.3 mAh g^(-1)with a fading rate of 0.14%per cycle after 200 cycles at 0.5 A g^(-1)in 0.01-3.0 *** a very high current density of 5 A g^(-1),the capacity still displayed excellent long-term cycle life with a discharge capacity of 406.1 mAh g^(-1)with a fading rate of 0.016%per cycle after 3000 *** mechanism of the excellent electrochem-ical performance of NiSe_(2)@NGCF was thoroughly investigated by ex-situ XRD,TEM,and SEM ***,NiSe_(2)@NGCF//Na_(3)V_(2)(PO_(4))_(3)full-cell also delivered an excellent reversible capacity of 378.7 mAh g^(−1)at 0.1 A g^(−1)after 50 cycles,demonstrating its potential for practical application in SIBs.

关键词： Sodium-ion batteries Anode materials Nickel selenide N-doped graphitic carbon fibers One-dimensional electrode

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Integrating Deep Learning and Machine Translation for Understanding Unrefined Languages

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Computers, Materials & Continua 2022年第1期70卷 669-678页

作者： Hong geun Ji Soyoung Oh Jina kim Seong Choi Eunil Park Department of Applied Artificial Intelligence Sungkyunkwan UniversitySeoul03063Korea Raon Data Seoul03073Korea Department of Computer Science and Engineering University of MinnesotaMinneapolis55455MNUSA

In the field of natural language processing(NLP),the advancement of neural machine translation has paved the way for cross-lingual ***,most studies in NLP have evaluated the proposed language models on well-refined *** investigatewhether amachine translation approach is suitable for multilingual analysis of unrefined datasets,particularly,chat messages in *** order to address it,we collected the dataset,which included 7,066,854 and 3,365,569 chat messages from English and Korean streams,*** employed several machine learning classifiers and neural networks with two different types of embedding:word-sequence embedding and the final layer of a pre-trained language *** results of the employed models indicate that the accuracy difference between English,and English to Korean was relatively high,ranging from 3%to 12%.For Korean data(Korean,and Korean to English),it ranged from 0%to 2%.Therefore,the results imply that translation from a low-resource language(e.g.,Korean)into a high-resource language(e.g.,English)shows higher performance,in contrast to vice *** implications and limitations of the presented results are also *** instance,we suggest the feasibility of translation from resource-poor languages for using the tools of resource-rich languages in further analysis.

关键词： Twitch multilingual machine translation machine learning

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Neuromorphic devices based on fluorite-structured ferroelectrics

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InfoMat 2022年第12期4卷 1-32页

作者： dong Hyun Lee geun Hyeong Park Se Hyun kim Ju Yong Park Kun Yang Stefan Slesazeck Thomas Mikolajick Min Hyuk Park Department of Materials Science and Engineering&Inter-University Semiconductor Research Center College of EngineeringSeoul National UniversitySeoulRepublic of Korea Research Institute of Advanced Materials Seoul National UniversitySeoulRepublic of Korea NaMLab gGmbH DresdenGermany Institute of Engineering Research Seoul National UniversitySeoulRepublic of Korea

A continuous exponential rise has been observed in the storage and processing of the data that may not curtail in the foreseeable *** required data processing speed and power consumption are restricted by the buses between the logic and memory devices that are characteristic of the von Neumann computing ***-mimicking neuromorphic computing has garnered considerable academic and industrial interest to resolve these ***,devices based on emerging nonvolatile memories capable of mimicking the behaviors of synapses and neurons,which are the main elements in biological computing systems(brains),are attracting significant interest from the device *** the discovery of ferroelectricity in fluorite-structured oxides,such as HfO2 and ZrO2,which are compatible with the state-of-the-art complementary-metal-oxide-semiconductor processes,ferroelectric devices have rapidly evolved as the main direction of these research and development *** science related to fluorite-structured ferroelectrics has been intensively studied over the last *** present,the focus is gradually moving to practical applications,including neuromorphic computing and advanced classical processing or memory units in the conventional von Neumann ***,despite its rapid development,the wealth of recent progress in neuromorphic computing devices based on fluorite-structured ferroelectrics has not been reviewed and *** progress report comprehensively reviews and systemizes the recent progress in artificial synaptic and spiking neuron devices for neuromorphic computing based on fluorite-structured ferroelectrics.

关键词： ferroelectrics hafnia neuromorphic computing semiconductor devices

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Phylogenetic relationship,biogeography,and conservation genetics of endangered Fraxinus chiisanensis(Oleaceae),endemic to South Korea

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Plant Diversity 2022年第2期44卷 170-180页

作者： Changkyun kim dong-Kap kim Hang Sun Joo-Hwan kim Plant Research Division Honam National Institute of Biological ResourcesMokpo 58762Republic of Korea Forest Biodiversity Division Korea National ArboretumPocheon 11186Republic of Korea CAS Key Laboratory for Plant Biodiversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650204YunnanPR China Department of Life Science Gachon UniversitySeongnam 13120Republic of Korea

Endemic plants are important for understanding phylogenetic relationships,biogeographical history,and genetic variation because of their restricted distribution and their role in conserving ***,we investigated the phylogenetic relationships of the Korean endemic Fraxinus chiisanensis by reconstructing the molecular phylogeny of Fraxinus based on two nuclear DNA(nrITS and phantastica)and two chloroplast DNA(psbA-trnH and rp132-trnL)*** our fossil-calibrated phylogenetic framework,we also inferred the biogeographical history of *** provide a scientific basis for the conservation of ***,we determined the levels of genetic diversity and genetic differentiation in this *** information from nuclear and chloroplast DNA sequence data,our molecular phylogenetic analyses identified *** as a genetically distinct unit from its sister group,Fraxinus platypoda from *** molecular dating analyses using nuclear and chloroplast DNA data sets show *** diverged from its sister *** in the Early or Middle Miocene and differentiated in the Late Miocene on the Korean *** results suggest that the divergence of *** was associated with the submergence of the East China Sea land bridge and enhanced monsoons in East *** compared to ***,*** exhibits low genetic diversity within populations and high genetic differentiation among *** results help us to understand the evolutionary history of *** and to develop a conservation strategy for this species.

关键词： East China Sea land bridge Endemic species Fraxinus chiisanensis Korean Peninsula Genetic diversity Biogeography

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Material Characterization of Ni Base Alloy for Very High Temperature Reactor

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Journal of Materials Science & Technology 2013年第12期29卷 1184-1190页

作者： dong-Jin kim Gyeong-geun Lee Dae Jong kim Su Jin Jeong Nuclear Materials Division Korea Atomic Energy Research Institute

The generation of highly efficient electricity and the production of massive hydrogen are possible using a very high temperature reactor （VHTR） among generation IV nuclear power plants. The structural material for an intermediate heat exchanger （IHX） among numerous components should be endurable at high temperature of up to 950 °C during long-term operation. Impurities inevitably introduced in helium as a coolant facilitate the material degradation by corrosion at high temperature. In the present work, the surface reactions available under controlled impure helium at 950 °C were investigated based on the thermodynamics and the corrosion tests were performed in a temperature range of 850-950 °C during 10-250 h for commercial Alloy 617 as a candidate material for an IHX. Moreover, the mechanical property and microstructure for nickel-based alloys fabricated in laboratory were evaluated as a function of the processing parameters such as hot rolling and heat treatment conditions. From the reaction rate constant obtained from an impure helium control system for a material evaluation, it was predicted that the outer oxide layer thickness, internal oxide depth, and carbide- depleted zone depth reach about 116, 600 and 1000 μm, respectively when Alloy 617 is exposed to an impure helium environment at 950 ~C for 20 years. For Ni-Cr-Co-Mo alloy, subsequent annealing and a combination of cold working and subsequent annealing following solution annealing caused increases in the grain boundary carbide coverage and size. The angular distribution of the grain boundary as well as the carbide distribution was also changed leading to a consequent improvement of the mechanical property at 950 °C in air.

关键词： Nickel base alloy Intermediate heat exchanger High temperature reactor Corrosion Mechanical property

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