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Ethanol extract of Oenanthe javanica increases cell proliferation and neuroblast differentiation in the adolescent rat dentate gyrus

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Neural Regeneration Research 2015年第2期10卷 271-276页

作者： Bai Hui Chen joon Ha Park Jeong Hwi Cho In Hye Kim Bich Na Shin Ji Hyeon Ahn seok joon hwang Bing Chun Yan Hyun Jin Tae Jae Chul Lee Eun Joo Bae Yun Lyul Lee Jong Dai Kim Moo-Ho Won Il Jun Kang Department of Physiology College of Medicine and Institute of Neurodegeneration and Neuroregeneration Hallym University Department of Neurobiology School of Medicine Kangwon National University Department of Food Science and Biotechnology College of Agriculture and Life Sciences Kangwon National University Department of Integrative Traditional & Western Medicine Medical College Yangzhou University Department of Biomedical Science and Research Institute for Bioscience and Biotechnology Hallym University Department of Pediatrics Chuncheon Sacred Heart Hospital College of Medicine Hallym University Department of Food Science and Nutrition Hallym University

Oenanthe javanica is an aquatic perennial herb that belongs to theOenanthe genus in Apiaceae family, and it displays well-known medicinal properties such as protective effects against glu-tamate-induced neurotoxicity. However, few studies regarding effects ofOenanthe javanica on neurogenesis in the brain have been reported. In this study, we examined the effects of a normal diet and a diet containing ethanol extract ofOenanthe javanica on cell proliferation and neu-roblast differentiation in the subgranular zone of the hippocampal dentate gyrus of adolescent rats using Ki-67 （an endogenous marker for cell proliferation） and doublecortin （a marker for neuroblast）. Our results showed thatOenanthe javanica extract signiifcantly increased the number of Ki-67-immunoreactive cells and doublecortin-immunoreactive neuroblasts in the subgranular zone of the dentate gyrus in the adolescent rats. In addition, the immunoreactivity of brain-derived neurotrophic factor was signiifcantly increased in the dentate gyrus of the Oenanthe javanica extract-treated group compared with the control group. However, we did not ifnd that vascular endothelial growth factor expression was increased in theOenanthe javanica extract-treated group compared with the control group. These results indicate thatOenanthe javanica extract improves cell proliferation and neuroblast differentiation by increasing brain-de-rived neurotrophic factor immunoreactivity in the rat dentate gyrus.

关键词： nerve regeneration Oenanthe javanica extract cell proliferation neuroblast differentiation brain-derived neurotrophic factor vascular endothelial growth factor rat neural regeneration

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滚筒式洋葱穴盘播种机的滚筒形状优化

农业工程技术 2020年第18期40卷 87-87页

作者： seok-joon hwang Ju-seok Nam 韩国国立江原大学生物系统工程系

该研究对播种洋葱种子的滚筒式穴盘播种机的滚筒形状进行了优化。通过分析穴盘播种机的操作特性,得出了优化参数。在此基础上,确定了滚筒的形状,以尽量减少重量,同时满足所需的强度。形状优化后的滚筒重量,可比传统滚筒减轻17.7%,满足了... 详细信息

该研究对播种洋葱种子的滚筒式穴盘播种机的滚筒形状进行了优化。通过分析穴盘播种机的操作特性,得出了优化参数。在此基础上,确定了滚筒的形状,以尽量减少重量,同时满足所需的强度。形状优化后的滚筒重量,可比传统滚筒减轻17.7%,满足了2.0以上的安全系数。同时还获得了洋葱播种所需的最佳床土压实。将该研究优化的滚筒形状应用于现有的滚筒式穴盘播种机,可以提高健康育苗的生产效率。

关键词：洋葱穴盘播种机滚筒式形状优化

Lemierre's syndrome caused by Klebsiella pneumoniae:A case report

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World Journal of Nephrology 2021年第5期10卷 101-108页

作者： So Yeon hwang seok joon Shin Hye Eun Yoon Department of Internal Medicine Incheon St.Mary's HospitalCollege of MedicineThe Catholic University of KoreaIncheon 21431South Korea

BACKGROUND Lemierre's syndrome is a disease that causes anaerobic sepsis,internal jugular vein thrombosis,and septic embolism in the lungs and other organs after acute oropharyngeal *** was named after André-Alfred Lemierre in *** SUMMARY Here,we have reported a case of Lemierre’s syndrome in a 56-year-old female patient who presented with a sore *** patient had septic shock,had not voided,and had severe hyperglycemia at the time of her *** tests revealed bilateral pneumonia,pleural effusion,pulmonary embolism,and renal vein *** patient was admitted to the intensive care unit and placed on mechanical ventilation due to acute respiratory distress *** renal replacement therapy was administered to treat renal failure with *** pneumoniae was cultured from blood and sputum *** reviewing various results,the patient was ultimately diagnosed with Lemierre’s *** patient was treated with appropriate antibiotics and thrombolytic *** was discharged from the hospital after *** Lemierre’s syndrome is associated with a high mortality ***,clinicians should be familiar with the signs and symptoms of this disease as well as the preemptive examinations,procedures,and treatments.

关键词： Lemierre's syndrome Klebsiella pneumoniae Diabetes Mellitus Pulmonary embolism Septic pneumonia Case report

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

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

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

Uncertainty analysis of flow rate measurement for multiphase flow using CFD

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Acta Mechanica Sinica 2015年第5期31卷 698-707页

作者： joon-Hyung Kim Uk-Hee Jung Sung Kim joon-Yong Yoon Young-seok Choi Department of Mechanical Design Engineering Hanyang University Thermal & Fluid System R&BD Group Korea Institute of Industrial Technology Energy System Engineering University of Science and Technology

The venturi meter has an advantage in its use,because it can measure flow without being much affected by the type of the measured fluid or flow ***,it has excellent versatility and is being widely applied in many *** flow of a liquid containing air is a representative example of a multiphase flow and exhibits complex flow *** particular,the greater the gas volume fraction（GVF）,the more inhomogeneous the flow *** a result,using a venturi meter to measure the rate of a flow that has a high GVF generates an *** this study,the cause of the error occurred in measuring the flow rate for the multiphase flow when using the venturi meter for analysis by *** ensure the reliability of this study,the accuracy of the multiphase flow models for numerical analysis was verified through comparison between the calculated results of numerical analysis and the experimental *** a result,the Grace model,which is a multiphase flow model established by an experiment with water and air,was confirmed to have the highest ***,the characteristics of the internal flow Held about the multiphase flow analysis result generated by applying the Grace model were analyzed to find the cause of the uncertainty occurring when measuring the flow rate of the multiphase flow using the venturi meter.A phase separation phenomenon occurred due to a density difference of water and air inside the venturi,and flow inhomogeneity happened according to the flow velocity difference of each *** was confirmed that this flow inhomogeneity increased as the GVF increased due to the uncertainty of the flow measurement.

关键词： Multiphase flow Measurement Numerical analysis Venturi meter Gas volume fraction(GVF) Uncertainty Multiphase flow model Grace model

Study on frictional behavior of carbon nanotube thin films with respect to surface condition

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Friction 2018年第4期6卷 432-442页

作者： Youn-Hoo hwang Byung-Soo MYUNG Hyun-joon KIM Department of Precision Mechanical Engineering Kyungpook National University

In this work, tribological characteristics of thin films composed of entangled carbon nanotubes(CNTs) were investigated. The surface roughness of CNT thin films fabricated via a dip‐coating process was controlled by squeezing during the process with an applied normal force ranging from 0 to 5 kgf. Raman spectra and scanning electron microscopy(SEM) images of the thin films were obtained to estimate the influence of the squeezing process on the crystallinity of the CNTs. The analysis revealed that squeezing could reduce surface roughness, while preserving the crystallinity of the CNTs. Moreover, the surface energy of the cover glass used to press the CNT thin film was found to be the critical factor controlling surface roughness. A micro‐tribometer and macro‐tribometer were used to assess the tribological characteristics of the CNT thin film. The results of the tribotest exhibited a correlation between the friction coefficient and surface roughness. Dramatic changes in friction coefficient could be observed in the micro‐tribotest, while changes in friction coefficient in the macro‐tribotest were not significant.

关键词： carbon nanotubes friction surface roughness surface energy squeezing process UV irradiation

Cytochrome b5 Reductase 1 Triggers Serial Reactions that Lead to Iron Uptake in Plants

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Molecular Plant 2016年第4期9卷 501-513页

作者： Young Jun Oh Hanul Kim Sung Hee Seo Bae Geun hwang Yoon seok Chang Junho Lee Dong Wook Lee Eun Ju Sohn Sang joon Lee Youngsook Lee Inhwan hwang Division of Integrative Biosciences and Biotechnology Department Life Sciences Division of Environmental Science and Engineering Division of Mechanical Engineering Pohang University of Science and Technology Pohang 790-784 Korea

Rhizosphere acidification is essential for iron （Fe） uptake into plant roots. Plasma membrane （PM） H＊-ATPases play key roles in rhizosphere acidification. However, it is not fully understood how PM H＋-ATPase activity is regulated to enhance root Fe uptake under Fe-deficient conditions. Here, we present evidence that cytochrome b5 reductase 1 （CBR1） increases the levels of unsaturated fatty acids, which stimulate PM H＋-ATPase activity and thus lead to rhizosphere acidification. CBRl-overexpressing （CBRI-OX） Arabidopsis thaliana plants had higher levels of unsaturated fatty acids （18：2 and 18：3）, higher PM H＊-ATPase activity, and lower rhizosphere pH than wild-type plants. By contrast, cbrl loss-of-function mutant plants showed lower levels of unsaturated fatty acids and lower PM H＊-ATPase activity but higher rhizosphere pH. Reduced PM H＊-ATPase activity in cbrl could be restored in vitro by addition of unsatu- rated fatty acids. Transcript levels of CBR1, fatty acids desaturase 2 （FAD2）, and fatty acids desaturase 3 （FAD3） were increased under Fe-deficient conditions. We propose that CBR1 has a crucial role in increasing the levels of unsaturated fatty acids, which activate the PM H＊-ATPase and thus reduce rhizosphere pH. This reaction cascade ultimately promotes root Fe uptake.

关键词： cytochrome b5 reductase 1 (CBR1) unsaturated fatty acids iron (Fe) uptake H^+-ATPase