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STABILITY OF A VON KARMAN EQUATION WITH INFINITE MEMORY

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Acta Mathematica Scientia 2017年第4期37卷 965-973页

作者： sun-Hye park Center for Education Accreditation Pusan National UniversityBusan 609-735South Korea

In this paper, we consider a von Karman equation with infinite memory. For yon Karman equations with finite memory, there is a lot of literature concerning on existence of the solutions, decay of the energy, and existence of the attractors. However, there are few results on existence and energy decay rate of the solutions for yon Karman equations with infinite memory. The main goal of the present paper is to generalize previous results by treating infinite history instead of finite history.

关键词： yon Karman equation general decay infinite memory

GENERAL DECAY FOR A QUASILINEAR SYSTEM OF VISCOELASTIC EQUATIONS WITH NONLINEAR DAMPING

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Acta Mathematica Scientia 2012年第4期32卷 1321-1332页

作者： Jong Yeoul park sun Hye park Department of Mathematics Pusan National UniversityBusan 609-735 South Korea

In this paper, we consider a system of coupled quasilinear viscoelastic equa- tions with nonlinear damping. We use the perturbed energy method to show the general decay rate estimates of energy of solutions, which extends some existing results concerning a general decay for a single equation to the case of system, and a nonlinear system of viscoelastic wave equations to a quasilinear system.

关键词： general decay coupled quasilinear equations viscoelastic equations perturbed energy method

Anti-neuro-inflammatory effects of Nardostachys chinensis in lipopolysaccharide-and lipoteichoic acid-stimulated microglial cells

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Chinese Journal of Natural Medicines 2016年第5期14卷 343-353页

作者： sun Young park Young Hun Kim Geuntae park Bio-IT Fusion Technology Research Institute Pusan National University Department of Nanomaterials Engineering Pusan National University

Excessive microglial cell activation is related to the progression of chronic neuro-inflammatory disorders. Heme oxygenase-1(HO-1) expression mediated by the NFE2-related factor(Nrf-2) pathway is a key regulator of neuro-inflammation. Nardostachys chinensis is used as an anti-malarial, anti-nociceptive, and neurotrophic treatment in traditional Asian medicines. In the present study, we examined the effects of an ethyl acetate extract of N. chinensis(EN) on the anti-neuro-inflammatory effects mediated by HO-1 up-regulation in Salmonella lipopolysaccharide(LPS)- or Staphylococcus aureus lipoteichoic acid(LTA)-stimulated BV2 microglial cells. Our results indicated that EN suppressed pro-inflammatory cytokine production and induced HO-1 transcription and translation through Nrf-2/antioxidant response element(ARE) signaling. EN markedly inhibited LPS- and LTA-induced activation of nuclear factor-kappa B(NF-?B) as well as phosphorylation of mitogen-activated protein kinases(MAPKs) and signal transducer and activator of transcription(STAT). Furthermore, EN protected hippocampal HT22 cells from indirect neuronal toxicity mediated by LPS- and LTA-treated microglial cells. These results suggested that EN impairs LPS- and LTA-induced neuro-inflammatory responses in microglial cells and confers protection against indirect neuronal damage to HT22 cells. In conclusion, our findings indicate that EN could be used as a natural anti-neuro-inflammatory and neuroprotective agent.

关键词： Nardostachys chinensis Anti-inflammation Lipopolysaccharide Lipoteichoic acid Heme oxygenase-1

Pullback attractors for the non-autonomous Benjamin-Bona-Mahony equation in unbounded domains

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Science China Mathematics 2011年第4期54卷 741-752页

作者： park Jong Yeoul park sun Hye Department of Mathematics Pusan National University

The existence of a pullback attractor is proven for the non-autonomous Benjamin-Bona-Mahony equation in unbounded *** asymptotic compactness of the solution operator is obtained by the uniform estimates on the tails o... 详细信息

关键词： Benjamin-Bona-Mahony equation pullback attractor unbounded domain

Guidance on the Choice of Threshold for Binary Forecast Modeling

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Advances in Atmospheric Sciences 2008年第1期25卷 83-88页

作者： Keon Tae SOHN sun Min park Department of Statistics Pusan National University

This paper proposes useful guidance on the choice of threshold for binary forecasts. In weather forecast systems, the probabilistic forecast cannot be used directly when estimated too smoothly. In this case, the binary forecast, whether a meteorological event will occur or not, is preferable to the probabilistic forecast. A threshold is needed to generate a binary forecast, and the guidance in this paper encompasses the use of skill scores for the choice of threshold according to the forecast pattern. The forecast pattern consists of distribution modes of estimated probabilities, occurrence rates of observations, and variation modes. This study is performed via Monte-Carlo simulation, with 48 forecast patterns considered. Estimated probabilities are generated by random variate sampling from five distributions separately. Varying the threshold from 0 to 1, binary forecasts are generated by threshold. For the assessment of binary forecast models, a 2×2 contingency table is used and four skill scores （Heidke skill score, hit rate, true skill statistic, and threat score） are compared for each forecast pattern. As a result, guidance on the choice of skill score to find the optimal threshold is proposed.

关键词： binary forecast Monte-Carlo simulation threshold skill score

Estimation of plasma density perturbation from dusty plasma injection by laser irradiation on tungsten target in DiPS

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Plasma Science and Technology 2020年第4期22卷 90-96页

作者： In Je KANG Min-Keun BAE In sun park Min Ji LEE Kyu-sun CHUNG Department of Electrical Engineering Hanyang UniversitySeoul 133791Republic of Korea Plasma Technology Research Center National Fusion Research InstituteGunsan 54004Republic of Korea

To investigate the interaction of dusty plasma with magnetized plasmas at divertor plasma simulator,radial profiles of plasma density(ne)and electron temperature were measured in terms of plasma discharge currents and magnetic flux intensity by using a fast scanning probes system with triple *** plasma with dusts(a generation rate of 3μg s-1 and a size of 1–10μm)was produced via interactions between a high-power laser beam and a full tungsten *** ne increases,the scale of the effects of dusty plasma injection on magnetized plasmas was ***,the duration of transient fluctuation was *** numerical estimation of plasma density perturbation due to dusty plasma injection,the result was 10%at a core region of the magnetized plasma with ne of(2–5)×10^11 cm^-3 at steady state condition.

关键词： plasma density perturbation dusty plasma tungsten dust DiPS

Early Cretaceous Tectonism and Diatoms in Korea

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Acta Geologica Sinica(English Edition) 2008年第6期82卷 1179-1184页

作者： Ki-Hong CHANG sun-Ok park Department of Geology Kyungpook National UniversityDaeguKorea

The Early Cretaceous Sindong Group, a non-marine molasse, unconformably overlies the folded earliest Cretaceous Myogok Formation. The tectonism that folded the Jaseong Synthem including the Myogok and other formations is here called the Nakdong-Jaeryeonggang （N-J） tectonism. The Oknyeobong and Dabokni Formations are discussed to show that they belong to the Jaseong Synthem. The Dabokni Formation yielded fossil diatoms whose age has been referred as the ＂earliest Cretaceous＂ based on the geologically constrained age of the fossil-bearing deposit. The age of the N-J tectonism appears Barremian as it is between the Hauterivian Myogok Formation and the Aptian Sindong Group with the TPN （Trigonioides-Plicatounio-Nippononaia） fauna. The N-J tectonism, an orogeny, quite deformed pre-Aptian strata in Korea, but can hardly find its reported equivalent in NE China. A revised correlation table shows that the Jaseong- Sindong sequence corresponds to the Jehol Group of China. The Sindong-Hayang transition was characterized by basin migration and dextral rotation probably caused by the Tan-Lu fault system in a broad sense.

关键词： Early Cretaceous Late Jurassic Dabokni Formation Jaseoung Synthem Nakdong- Jaeryeonggang tectonism Archaic fresh-water diatoms

Polyherbal formula SC-E3 inhibits rheumatoid arthritis activity in a mouse model of type-Ⅱcollagen-induced arthritis

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Journal of Integrative Medicine 2021年第3期19卷 265-273页

作者： Ju-Yeon park Young-Won Kwon sun-Ah Kim sun-Dong park Chang-Hyun Kim Jin-Hee Kim Ju-Hee Lee College of Korean Medicine Dongguk UniversityGoyang 10326Republic of Korea Department of Medicine College of MedicineDongguk UniversityGoyang 10326Republic of Korea Department of Biomedical Laboratory Science College of Health ScienceCheongju UniversityCheongju 28503Republic of Korea

Objective:SC-E3 is a polyherbal formula that contains five medicinal herbs used frequently in traditional herbal *** our previous study,we demonstrated the antioxidant and anti-inflammatory effects of *** present study examined the effects of SC-E3 in a mouse model of type-II collagen-induced arthritis(CIA).Methods:In vivo,male DBA/1 J mice were immunized by intradermal injection of bovine type-II collagen and complete or incomplete Freund’s adjuvant,to induce ***-E3 was orally administered daily for 23 *** vitro,bone marrow-derived macrophages(BMMs)were treated with macrophage colony-stimulating factor(M-CSF)and receptor activator of nuclear factor-j B ligand(RANKL)in the absence or presence of ***:Administrations of SC-E3 were found to have anti-arthritic effects in the joints of CIA mice,as evidenced by reduced paw swelling,bone erosion and deformation,inflammatory cell infiltration,and inflammation in synovial ***-E3 also reduced serum levels of tumor necrosis factor-a,interleukin-1 b,aspartate aminotransferase and alanine ***,tartrateresistant acid phosphatase-positive osteoclast numbers in the joints were significantly lower in SC-E3-treated CIA mice than in CIA *** addition,the differentiations of BMMs to multinucleated osteoclasts induced by M-CSF and RANKL stimulation were dose-dependently reduced by ***:These results suggest that SC-E3 possesses substantial anti-arthritic activity because it inhibits pro-inflammatory cytokines and osteoclastogenesis,and that SC-E3 has potential therapeutic use for the treatment of rheumatoid arthritis.

关键词： Herbal formula Anti-inflammatory Rheumatoid arthritis Collagen-induced arthritis Osteoclastogenesis

Multi-Agent Deep Reinforcement Learning-Based Resource Allocation in HPC/AI Converged Cluster

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Computers, Materials & Continua 2022年第9期72卷 4375-4395页

作者： Jargalsaikhan Narantuya Jun-Sik Shin sun park JongWon Kim Department of Cloud Kakao Enterprise CorpSeongnam13494Korea AI Graduate School Gwangju Institute of Science and Technology(GIST)Gwangju61005Korea

As the complexity of deep learning(DL)networks and training data grows enormously,methods that scale with computation are becoming the future of artificial intelligence(AI)*** this regard,the interplay between machine learning(ML)and high-performance computing(HPC)is an innovative paradigm to speed up the efficiency of AI research and ***,building and operating an HPC/AI converged system require broad knowledge to leverage the latest computing,networking,and storage ***,an HPC-based AI computing environment needs an appropriate resource allocation and monitoring strategy to efficiently utilize the system *** this regard,we introduce a technique for building and operating a high-performance AI-computing environment with the latest ***,an HPC/AI converged system is configured inside Gwangju Institute of Science and Technology(GIST),called GIST AI-X computing cluster,which is built by leveraging the latest Nvidia DGX servers,high-performance storage and networking devices,and various open source ***,it can be a good reference for building a small or middlesized HPC/AI converged system for research and educational *** addition,we propose a resource allocation method for DL jobs to efficiently utilize the computing resources with multi-agent deep reinforcement learning(mDRL).Through extensive simulations and experiments,we validate that the proposed mDRL algorithm can help the HPC/AI converged cluster to achieve both system utilization and power consumption *** deploying the proposed resource allocation method to the system,total job completion time is reduced by around 20%and inefficient power consumption is reduced by around 40%.

关键词： Deep learning HPC/AI converged cluster reinforcement learning