• Title/Summary/Keyword: YuLongFu

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The Study on ${\ulcorner}YuLongFu{\lrcorner}$ (2) (옥룡부에 대한 연구(2))

  • Bang, Jung-Kyun;Jang, Hyun-Jun;Lee, Joon-Moo
    • Korean Journal of Acupuncture
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    • v.24 no.2
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    • pp.19-43
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    • 2007
  • Objectives : The aim of this study was to analyse the symptoms of a disease and to elucidate the meaning and rationale of point selection in YuLongFu. Methods : We translated YuLongFu into Korean and analyzed symptoms based upon a comparison of YuLongFu with YuLongGe. The meaning and rationale of point selection in YuLongFu was then inferred from the analysis above. Results and Conclusions : Total 84 acupoints were used in YuLongFu. Moxibustion and pricking blood therapy were used twice. Generally, threre are a lot of diseases caused by stagnation of Qi and blood in YuLongFu. Point selection, therefore, was usually aimed at promoting flow of Qi and blood.

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The study on ${\ulcorner}$YuLongFu${\lrcorner}$(1) ("옥룡부(玉龍賦)"에 대한 연구(1))

  • Bang, Jung-Kyun;Jang, Hyun-Jun;Lee, Joon-Moo
    • Korean Journal of Acupuncture
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    • v.23 no.3
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    • pp.1-15
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    • 2006
  • Objectives : The aim of this study was to analyze the symptoms of a disease and to elucidate the meaning and rationale of point selection in YuLongFu. Methods : We translated YuLongFu into Korean and analyzed symptoms based upon a comparison of YuLongFu with YuLongGe. The meaning and rationale of point selection in YuLongFu was then inferred from the analysis above. Results and Conclusions : Total 46 points (6 points were repeated) were used in YuLongFu. These points included the collateral Meridian, the four seas, five shu points, lower confluent points, yuan points and eight influential points. Moxibustion and pricking blood therapy were used twice. Generally, threre are a lot of diseases caused by stagnation of Qi and blood in YuLongFu. Point selection, therefore, was usually aimed at promoting flow of Qi and blood.

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A Study on the Rank System of Official Uniforms of Qing Dynasty (청조 관복제도의 등급체계에 관한 연구 (제1보))

  • 박현정
    • Journal of the Korean Society of Costume
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    • v.53 no.1
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    • pp.17-34
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    • 2003
  • This paper investigates the rank system of official uniforms of Qing dynasty to analyze ethnic characteristics of the official uniforms. As a research document, Qing Huidian Tu(청회전도) has been used. The official uniforms of Qing dynasty were chao-fu(조복), ji-fu(길복), chang-fu(상복), hang-fu(행복), and yu-fu(우복), which were used in different occasions. Each of the five official uniforms had distinct items. For example, chao-fu(조복) consisted of four items: chao-guan(조관), chao-fu(조복), chao-dai(조대), and chao-zhu(조주), and ji-fu(길복) consisted of four items: ji-fu-guan(길복관), long-pao(용포), ji-fu-dai(길복대), and chao-zhu(조주). Each of these items had elements that made distinction between ranks. This research shows that the important elements to make distinction between ranks were textiles, precious stones, patterns and colors, and additionally the number of Bo(보) and the types of Bo(보) were used.

Effect of Abiotic Factors on Fumosorinone Production from Cordyceps fumosorosea via Solid-State Fermentation

  • Tahir Khan;Dong-Hai Hou;Jin-Na Zhou;Yin-Long Yang;Hong Yu
    • Mycobiology
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    • v.51 no.3
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    • pp.157-163
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    • 2023
  • Cordyceps fumosorosea is an important species in the genus of Cordyceps, containing a variety of bioactive compounds, including fumosorinone (FU). This study was a ground-breaking assessment of FU levels in liquid and solid cultures. The present study focused on the impacts of solid-state fermentation (SSF) using solid substrates (wheat, oat, and rice), as well as the effects of fermentation parameters (pH, temperature, and incubation period), on the generation of FU. All the fermentation parameters had significant effects on the synthesis of FU. In a study of 25 ℃, 5.5 pH, and 21 days of incubation period combinations calculated -to give maximal FU production, it was found that the optimal values were 25 ℃, 5.5 pH, and 21 days, respectively. In a solid substrate medium culture, FU could be produced from SSF. At 30 days, a medium composed of rice yielded the most FU (798.50 mg/L), followed by a medium composed of wheat and oats (640.50 and 450.50 mg/L), respectively. An efficient method for increasing FU production on a large scale could be found in this approach. The results of this study might have multiple applications in different industrial fermentation processes.

Preparation and Drug-releasing Properties of Chitosan-based Thermosensitive Composite Hydrogel

  • Li, Heping;Yu, Tao;Li, Shan;Qin, Long;Ning, Jingheng
    • Journal of the Korean Chemical Society
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    • v.56 no.4
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    • pp.473-477
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    • 2012
  • The novel chitosan-based thermosensitive hydrogels were prepared as control-releasing drug carriers. N-carboxyethyl chitosan (ACS) was synthesized by microwave heating for 1 h through Michael addition of CS to acrylic acid in a grafting yield of 52.97%, which was proved to be a faster and more efficient way than ordinary methods. 5-Fu was modified with formaldehyde to synthesize N,N'-Bis(hydroxymethyl)-5-fluorouracil (5-Fu-OH). Then an esterification was performed using ACS and 5-Fu-OH to give 5-Fu-ACS. The new thermosensitive hydrogels were prepared by adding sodium glycerophosphate to the solution of compounds under a certain constant temperature. Simultaneously, the hydrogels' swelling rate, in vitro drug release rate and thermosensitive were studied, and found that the 5-Fu-ACS composite hydrogel had more excellent releasing effect, higher drug loading and better thermosensitive.

Microarray Analysis of Long Non-coding RNA Expression Profile Associated with 5-Fluorouracil-Based Chemoradiation Resistance in Colorectal Cancer Cells

  • Xiong, Wei;Jiang, Yong-Xin;Ai, Yi-Qin;Liu, Shan;Wu, Xing-Rao;Cui, Jian-Guo;Qin, Ji-Yong;Liu, Yan;Xia, Yao-Xiong;Ju, Yun-He;He, Wen-Jie;Wang, Yong;Li, Yun-Fen;Hou, Yu;Wang, Li;Li, Wen-Hui
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.8
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    • pp.3395-3402
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    • 2015
  • Background: Preoperative 5-fluorouracil (5-FU)-based chemoradiotherapy is a standard treatment for locally advanced colorectal cancer (CRC). However, CRC cells often develop chemoradiation resistance (CRR). Recent studies have shown that long non-coding RNA (lncRNA) plays critical roles in a myriad of biological processes and human diseases, as well as chemotherapy resistance. Since the roles of lncRNAs in 5-FU-based CRR in human CRC cells remain unknown, they were investigated in this study. Materials and Methods: A 5-FU-based concurrent CRR cell model was established using human CRC cell line HCT116. Microarray expression profiling of lncRNAs and mRNAs was undertaken in parental HCT116 and 5-FU-based CRR cell lines. Results: In total, 2,662 differentially expressed lncRNAs and 2,398 mRNAs were identified in 5-FU-based CRR HCT116 cells when compared with those in parental HCT116. Moreover, 6 lncRNAs and 6 mRNAs found to be differentially expressed were validated by quantitative real time PCR (qRT-PCR). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis for the differentially expressed mRNAs indicated involvement of many, such as Jak-STAT, PI3K-Akt and NF-kappa B signaling pathways. To better understand the molecular basis of 5-FU-based CRR in CRC cells, correlated expression networks were constructed based on 8 intergenic lncRNAs and their nearby coding genes. Conclusions: Changes in lncRNA expression are involved in 5-FU-based CRR in CRC cells. These findings may provide novel insight for the prognosis and prediction of response to therapy in CRC patients.

Audio Fingerprint Retrieval Method Based on Feature Dimension Reduction and Feature Combination

  • Zhang, Qiu-yu;Xu, Fu-jiu;Bai, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.522-539
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    • 2021
  • In order to solve the problems of the existing audio fingerprint method when extracting audio fingerprints from long speech segments, such as too large fingerprint dimension, poor robustness, and low retrieval accuracy and efficiency, a robust audio fingerprint retrieval method based on feature dimension reduction and feature combination is proposed. Firstly, the Mel-frequency cepstral coefficient (MFCC) and linear prediction cepstrum coefficient (LPCC) of the original speech are extracted respectively, and the MFCC feature matrix and LPCC feature matrix are combined. Secondly, the feature dimension reduction method based on information entropy is used for column dimension reduction, and the feature matrix after dimension reduction is used for row dimension reduction based on energy feature dimension reduction method. Finally, the audio fingerprint is constructed by using the feature combination matrix after dimension reduction. When speech's user retrieval, the normalized Hamming distance algorithm is used for matching retrieval. Experiment results show that the proposed method has smaller audio fingerprint dimension and better robustness for long speech segments, and has higher retrieval efficiency while maintaining a higher recall rate and precision rate.

SHM data anomaly classification using machine learning strategies: A comparative study

  • Chou, Jau-Yu;Fu, Yuguang;Huang, Shieh-Kung;Chang, Chia-Ming
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.77-91
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    • 2022
  • Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

Nested Case-control Study of Occupational Radiation Exposure and Breast and Esophagus Cancer Risk among Medical Diagnostic X Ray Workers in Jiangsu of China

  • Wang, Fu-Ru;Fang, Qiao-Qiao;Tang, Wei-Ming;Xu, Xiao-San;Mahapatra, Tanmay;Mahapatra, Sanchita;Liu, Yu-Fei;Yu, Ning-Le;Sun, Quan-Fu
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.11
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    • pp.4699-4704
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    • 2015
  • Medical diagnostic X-ray workers are one occupational group that expose to the long-term low-dose external radiation over their working lifetime, and they may under risk of different cancers. This study aims to determine the relationship between the occupational X-ray radiation exposure and cancer risk among these workers in Jiangsu, China. We conducted Nested case-control study to investigate the occupational X-ray radiation exposure and cancer risk. Data were collected through self-administered questionnaire, which includes but not limits to demographic data, personal behaviors and family history of cancer. Retrospective dose reconstruction was conducted to estimate the cumulative doses of the x-ray workers. Inferential statistics, t-test and 2 tests were used to compare the differences between each group. We used the logistic regression model to calculate the odds ratio (OR) and 95% confidence interval (CI) of cancer by adjusting the age, gender. All 34 breast cancer cases and 45 esophageal cancer cases that detected in a cohort conducted among health workers between 1950~2011 were included in this presented study, and 158 cancer-free controls were selected by frequency-matched (1:2). Our study found that the occupational radiation exposure was associated with a significantly increased cancer risk compared with the control, especially in breast cancer and esophageal cancer (adjusted OR=2.90, 95% CI: 1.19-7.04 for breast cancer; OR=4.19, 95% CI: 1.87-9.38 for esophageal cancer, and OR=3.43, 95% CI: 1.92-6.12 for total cancer, respectively). The occupational X-ray radiation exposure was associated with increasing cancer risk, which indicates that proper intervention and prevention strategies may be needed in order to bring down the occupational cancer risk.

An optical fibre monitoring system for evaluating the performance of a soil nailed slope

  • Zhu, Hong-Hu;Ho, Albert N.L.;Yin, Jian-Hua;Sun, H.W.;Pei, Hua-Fu;Hong, Cheng-Yu
    • Smart Structures and Systems
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    • v.9 no.5
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    • pp.393-410
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    • 2012
  • Conventional geotechnical instrumentation techniques available for monitoring of slopes, especially soil-nailed slopes have limitations such as electromagnetic interference, low accuracy, poor longterm reliability and difficulty in mounting a series of strain sensors on a soil nail bar with a small-diameter. This paper presents a slope monitoring system based on fibre Bragg grating (FBG) sensing technology. This monitoring system is designed to perform long-term monitoring of slope movements, strains along soil nails, and other slope reinforcement elements. All these FBG sensors are fabricated and calibrated in laboratory and a trial of this monitoring system has been successfully conducted on a roadside slope in Hong Kong. As part of the slope stability improvement works, soil nails and a toe support soldier-pile wall were constructed. During the slope works, more than 100 FBG sensors were installed on a soil nail, a soldier pile, and an in- place inclinometer. The paper presents the layout and arrangement of the instruments as well as the installation procedures adopted. Monitoring data have been collected since March 2008. This trial has demonstrated the great potential of the optical fibre monitoring system for long-term monitoring of slope performance. The advantages of the slope monitoring system and experience gained in the field implementation are also discussed in the paper.