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Muscovite nanoparticles mitigate neuropathic pain by modulating the inflammatory response and neuroglial activation in the spinal cord

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Neural Regeneration Research 2020年第11期15卷 2162-2168页

作者： Ju-Young Oh tae-yeon hwang Jae-Hwan Jang Ji-Yeun Park yeonhee Ryu HyeJung Lee Hi-Joon Park Acupuncture and Meridian Science Research Center Kyung Hee University26 Kyungheedae-roDongdaemun-guSeoulRepublic of Korea Department of Korean Medical Science Graduate School of Korean MedicineKyung Hee UniversitySeoulRepublic of Korea BK21 PLUS Korean Medicine Science Center College of Korean MedicineKyung Hee UniversitySeoulRepublic of Korea College of Korean Medicine Daejeon UniversityDaejeonRepublic of Korea Korean Institute of Oriental Medicine DaejeonRepublic of Korea

Despite numerous efforts to overcome neuropathic pain,various pharmacological drugs often fail to meet the needs and have many side *** is an aluminosilicate mineral that has been reported to have an anti-inflammatory effect,but the efficacy of muscovite for neuropathic pain has not been ***,we assessed whether muscovite nanoparticles can reduce the symptoms of pain by controlling the inflammatory process observed in neuropathic *** analgesic effects of muscovite nanoparticles were explored using partial sciatic nerve ligation model of neuropathic pain,in which one-third to onehalf of the nerve trifurcation of the sciatic nerve was tightly tied to the dorsal *** nanoparticles(4 mg/100μL)was given intramuscularly to evaluate its effects on neuropathic pain(3 days per week for 4 weeks).The results showed that the muscovite nanoparticle injections significantly alleviated partial sciatic nerve ligation-induced mechanical and cold *** the spinal cord,the muscovite nanoparticle injections exhibited inhibitory effects on astrocyte and microglia activation and reduced the expression of pro-inflammatory cytokines,such as interleukin-1β,tumor necrosis factor-α,interleiukin-6 and monocyte chemoattractant protein-1,which were upregulated in the partial sciatic nerve ligation ***,the muscovite nanoparticle injections resulted in a decrease in activating transcription factor 3,a neuronal injury marker,in the sciatic *** results suggest that the analgesic effects of muscovite nanoparticle on partial sciatic nerve ligation-induced neuropathic pain may result from inhibiting activation of astrocytes and microglia as well as pro-inflammatory *** propose that muscovite nanoparticle is a potential anti-nociceptive candidate for neuropathic *** experimental protocols in this study were approved by the Institutional Animal Ethics Committee(IACUC)at Dongguk University,South Korea(approval No.2017-022-1)

关键词： astrocyte microglia muscovite nanoparticle neuropathic pain partial sciatic nerve ligation pharmacopuncture pro-inflammatory cytokine spinal cord

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Profitability Prediction Model for NPD Projects Under RisK

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Management Studies 2017年第2期5卷 108-119页

作者： tae yeon hwang Hoo-Gon Choi VMS Solutions Daejeon Republic of Korea Sungkyunkwan University Suwon Republic of Korea

Only a few successful new product development （NPD） projects are continuously supported by the firm when they are expected to assure profitability in the market. The profitability of a project is measured as profit ratio （PR）, the profit is divided by the cost. The profit figure is changed depending on either internal risks or uncertainties occurring externally. More risks require higher response costs to them and uncontrollable uncertainties affect NPD projects either positively or negatively. In this study, a PR model is developed to predict the profitability of a project at a given time. The model minimizes the response cost computed under two extreme response strategies, such as ＂Avoid＂ and ＂Acceptance＂ for the internal threats. Also, the model reflects the sales volume changes due to external uncertainties. The linear programming （LP） method determines the optimal probability of the response strategy under three scenarios of defining the relationship between risk avoidance and risk acceptance. It can be utilized to make a GO/NOGO decision on the project based on the prediction results at any gate of the NPD process. The solving procedure is provided to apply the developed model for real cases.

关键词： NPD risk assessment response costs profit ratio model profitability prediction GO/NOGO decisionmaking

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Aligned Ion Conduction Pathway of Polyrotaxane‑Based Electrolyte with Dispersed Hydrophobic Chains for Solid‑State Lithium–Oxygen Batteries

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Nano-Micro Letters 2025年第2期17卷 169-186页

作者： Bitgaram Kim Myeong‑Chang Sung Gwang‑Hee Lee Byoungjoon hwang Sojung Seo Ji‑Hun Seo Dong‑Wan Kim Department of Materials Science and Engineering Korea University145 Anam‑RoSeongbuk‑GuSeoul 02841Republic of Korea School of Civil Environmental and Architectural EngineeringKorea University145 Anam‑RoSeongbuk‑GuSeoul 02841Republic of Korea Materials Science and Chemical Engineering Center Institute for Advanced Engineering(IAE)Yongin 17180Republic of Korea

A critical challenge hindering the practical application of lithium–oxygen batteries(LOBs)is the inevitable problems associated with liquid electrolytes,such as evaporation and safety *** study addresses these problems by proposing a modified polyrotaxane(mPR)-based solid polymer electrolyte(SPE)design that simultaneously mitigates solvent-related problems and improves ***-SPE exhibits high ion conductivity(2.8×10^(−3)S cm^(−1)at 25℃)through aligned ion conduction pathways and provides electrode protection ability through hydrophobic chain *** this mPR-SPE into solid-state LOBs resulted in stable potentials over 300 *** situ Raman spectroscopy reveals the presence of an LiO_(2)intermediate alongside Li_(2)O_(2)during oxygen *** situ X-ray diffraction confirm the ability of the SPE to hinder the permeation of oxygen and moisture,as demonstrated by the air permeability *** present study suggests that maintaining a low residual solvent while achieving high ionic conductivity is crucial for restricting the sub-reactions of solid-state LOBs.

关键词： Solid polymer electrolyte Lithium-oxygen batteries Polyrotaxane ion conductivity Hydrophobic chain

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Apolipoprotein A-I binding protein-mediated neuroprotection in glaucomatous neuroinflammation and neurodegeneration

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Neural Regeneration Research 2025年第5期20卷 1414-1415页

作者： Sinwoo hwang Seunghwan Choi Soo-Ho Choi Keun-Young Kim Yury I.Miller Won-Kyu Ju Hamilton Glaucoma Center and Shiley Eye Institute The Viterbi Family Department of OphthalmologyUniversity of California San DiegoLa JollaCAUSA Department of Medicine University of California San DiegoLa JollaCAUSA National Center for Microscopy and Imaging Research Department of NeurosciencesUniversity of California San DiegoLa JollaCAUSA

Glaucoma is a multifactorial eye disorder that can cause vision loss and irreversible blindness,affecting individ uals aged 40 to 80 yea rs *** to the aging population,it is expected that the number of people affected by glaucoma will surpass 111 million by 2040 as the disease becomes more *** primarily contributes to optic nerve axon loss and the progressive degeneration of retinal ganglion cells (RGCs),subsequently leading to vision impairment.

关键词： irreversible pass primarily

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Investigations for the Surface of the Oxide Semiconductor Changes by Reduction

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Chinese Physics Letters 2016年第5期33卷 84-87页

作者： Bonghoon Kang Sung-tae hwang Department of Visual Optics Far East UniversityChungcheongbuk-doKorea College of Engineering Hansung University

Oxide semiconductor SrTiO3 single crystals are exposed to a reducing atmosphere H2/N2 to induce the reduction of Ti4＋ to Ti3＋ and the release of oxygen from the lattice compensating the reduction of the Ti ions. In a reducing atmosphere H2/N2 the optical edge brings about a red shift. The infrared reflection spectra suggest that the （11） STO single crystal surface can be terminated by the domain of the SrO or TiO2 alternative layer during the reduction. The anisotropy and asymmetry of optical second-harmonic intensity explain a slight shrinkage. The dielectric constant reaches about 6000 and shows almost frequency dependence at all temperatures. With the increasing temperature, the dielectric constant increases rapidly. The high temperature region and low temperature region have activation energies of 0.89 and 1.04, respectively.

关键词： of on in STO as by for

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A Deep Learning Hierarchical Ensemble for Remote Sensing Image Classification

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Computers, Materials & Continua 2022年第8期72卷 2649-2663页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Artificial intelligence,which has recently emerged with the rapid development of information technology,is drawing attention as a tool for solving various problems demanded by society and *** particular,convolutional neural networks(CNNs),a type of deep learning technology,are highlighted in computer vision fields,such as image classification and recognition and object *** these CNN models requires a large amount of data,and a lack of data can lead to performance degradation problems due to *** CNN architecture development and optimization studies become active,ensemble techniques have emerged to perform image classification by combining features extracted from multiple CNN *** this study,data augmentation and contour image extraction were performed to overcome the data shortage *** addition,we propose a hierarchical ensemble technique to achieve high image classification accuracy,even if trained from a small amount of ***,we trained the UCMerced land use dataset and the contour images for each image on pretrained VGGNet,GoogLeNet,ResNet,DenseNet,and *** then apply a hierarchical ensemble technique to the number of cases in which each model can be *** experiments were performed in cases where the proportion of training datasets was 30%,50%,and 70%,resulting in a performance improvement of up to 4.68%compared to the average accuracy of the entire model.

关键词： Image classification deep learning CNNs hierarchical ensemble UC-Merced land use dataset contour image

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Data Augmentation Using Contour Image for Convolutional Neural Network

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Computers, Materials & Continua 2023年第6期75卷 4669-4680页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14058Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14058Korea

With the development of artificial intelligence-related technologies such as deep learning,various organizations,including the government,are making various efforts to generate and manage big data for use in artificial ***,it is difficult to acquire big data due to various social problems and restrictions such as personal information *** are many problems in introducing technology in fields that do not have enough training data necessary to apply deep learning ***,this study proposes a mixed contour data augmentation technique,which is a data augmentation technique using contour images,to solve a problem caused by a lack of ***,a famous convolutional neural network(CNN)architecture,and CIFAR-10,a benchmark data set,are used for experimental performance evaluation to prove the superiority of the proposed *** to prove that high performance improvement can be achieved even with a small training dataset,the ratio of the training dataset was divided into 70%,50%,and 30%for comparative *** a result of applying the mixed contour data augmentation technique,it was possible to achieve a classification accuracy improvement of up to 4.64%and high accuracy even with a small amount of data *** addition,it is expected that the mixed contour data augmentation technique can be applied in various fields by proving the excellence of the proposed data augmentation technique using benchmark datasets.

关键词： Data augmentation image classification deep learning convolutional neural network mixed contour image benchmark dataset

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A Universal Activation Function for Deep Learning

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Computers, Materials & Continua 2023年第5期75卷 3553-3569页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Recently,deep learning has achieved remarkable results in fields that require human cognitive ability,learning ability,and reasoning *** functions are very important because they provide the ability of artificial neural networks to learn complex patterns through *** activation functions are being studied to solve problems such as vanishing gradients and dying nodes that may occur in the deep learning ***,it takes a lot of time and effort for researchers to use the existing activation function in their ***,in this paper,we propose a universal activation function(UA)so that researchers can easily create and apply various activation functions and improve the performance of neural *** can generate new types of activation functions as well as functions like traditional activation functions by properly adjusting three *** famous Convolutional Neural Network(CNN)and benchmark datasetwere used to evaluate the experimental performance of the UA proposed in this *** compared the performance of the artificial neural network to which the traditional activation function is applied and the artificial neural network to which theUA is *** addition,we evaluated the performance of the new activation function generated by adjusting the hyperparameters of *** experimental performance evaluation results showed that the classification performance of CNNs improved by up to 5%through the UA,although most of them showed similar performance to the traditional activation function.

关键词： Deep learning activation function convolutional neural network benchmark datasets universal activation function

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Teleportation of three-dimensional single particle state in noninertial frames

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Chinese Physics B 2014年第2期23卷 74-79页

作者：吴奇成文晶姬计新 yeon Kyu-hwang Department of Physics College of ScienceYanbian University Department of Physics College of Natural ScienceChungbuk National University

Considering the spin degree of freedom of the Dirac field, we study the entanglement behavior of a different class of communication channel and teleportation of three-dimensional single particle state in noninertial frames. Numerical analysis shows that the communication channel in our scheme can offer enough distillable entanglement for the teleportation protocol. Moreover, the teleportation protocol could work well if Rob＇s acceleration is not very big, but the fidelity of the teleportation is still reduced due to the Unruh effect.

关键词： three-dimensional entangled states noninertial frames teleportation Unruh effect

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Implementation of unambiguous comparison for unknown pure quantum states with cavity-assisted interaction

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Chinese Physics B 2013年第5期22卷 136-140页

作者：程留永王洪福张寿 yeon Kyu-hwang Center for the Condensed-Matter Science and Technology Department of PhysicsHarbin Institute of Technology Department of Physics College of ScienceYanbian University BK21 Program Physics & Department of Physics College of Natural ScienceChungbuk National University

We propose two effective schemes for local and remote unknown atomic state comparisons with a cavity-assisted single photon input--output process without any initial entanglement or auxiliary resource. The unambiguous state discrim- ination is considered using the state comparison process as the basic module. All the implementation schemes here just involve common quantum logic gates and the single qubit measurement. The analysis shows that our schemes are feasible under the current experimental conditions.

关键词： unambiguous state comparison atomic qubit cavity-assisted interaction

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