• The Journal of Korean Philosophical History
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• no.56
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• pp.119-149
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• 2018

Le 樂 is important in Politics of the Kings. It is the same in Nothern Song period(北宋). There was an argument about Le 樂 and Lu 律 in Nothern Song Period. Those who argued were Fan-Jin(范鎭) and Sima-Guang(司馬光). They argued for 30 years. Fan-Jin insists that a standard of weights and measures is Lu and a standard of Lu is the fundamental tone of twelvenotes scale, Hwang-Jong 黃鍾. On the other hand, Sima-Guang insists that a standard of Lu is weights and measures and a standard of Le is Equilibrium and Harmony, Zonghe 中和. Fan-Jin thinks it is possible to restore a Sage King's music through the right standard of Lu. But Sima-Guang thinks it is impossible. Sima-Guang believes that the only way to restore a Sage King's music is to complete Zonghe. And Fan-Jin thinks Zonghe is the work of the king whereas Sima-Guang thinks Zonghe is the order of man and everything. The key point in the argument is Lu and Zonghe. Fan-Jin regards Lu as the basis of music, whereas Sima-Guang regards Zonghe as the basis of music. Lu is a tangible law and Zonghe is a intangible law. Although the argument between the two ended in a stalemate, the argument shows the difference between the scholars at the time.

• Journal of Sensor Science and Technology
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• v.23 no.6
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• pp.416-419
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• 2014

We grew a $Li_6Lu(BO_3)_3:Ce^{3+}$ single crystal as a new scintillator. And, the scintillation and thermoluminescence properties of the scintillator were determined. The emission spectrum of $Li_6Lu(BO_3)_3:Ce^{3+}$ is located in the range of 370~530 nm, peaking at 416 nm and 439 nm, due to the $5d{\rightarrow}4f$ transition of $Ce^{3+}$ ions. The fluorescence decay time of the crystal is composed two components. The fast component is 34 ns (84%) and the slow component is 125 ns (16%) of the crystal. The afterglow is caused by the electron and hole traps in the crystal lattice. We determined physical parameters of the traps in the crystal. The thermoluminescence trap are composed a trap. The determined activation energy (E) and frequency factor (s) of the TL trap are 1.05 eV and $4.4{\times}10^{10}s^{-1}$, respectively.

• Archives of Pharmacal Research
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• v.25 no.6
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• pp.903-909
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• 2002

Research in the cytokine field has grown exponentially in recent years, and the validity of such studies relies heavily on the appropriate measurement of levels of cytokines in various biological samples. Transforming growth factor (TGF)-$\beta$, a hormonally active polypeptide found in normal and transformed tissue, is a potent regulator of cell growth and differentiation. The most widely used bioassay for TGF-$\beta$ is the inhibition of the proliferation of mink lung epithelial cells. Though detection of [$^3$H]thymidine incorporation is more sensitive than the MTT assay, it presents some disadvantages due to the safety and disposal problems associated with radioisotopes. In this study, we attempted to ascertain the experimental conditions which could be used for measuring the in vitro biological activity of TGF-$\beta$ in a safer and more sensitive way compared with the currently available methods. We compared the commonly used method, the MTT assay, to the XTT assay using different parameters including cell number, incubation time and the wave length used for detecting the product. We examined the anti-proliferative activities of TGF-$\beta$ in three different cell lines: Mv-1-Lu mink lung epithelial cells, MCF10A human breast epithelial cells and H-ras-transformed MCF10A cells. Herein, we present an experimental protocol which provides the most sensitive method of quantifying the biological activity of TGF-$\beta$, with a detection limit of as low as 10 pg/ml: Mv-1-Lu or H-ras MCF10A cells ($1{\times}10^5/well$) were incubated with TGF-$\beta$ at $37^{\circ}C$ in a humidified $CO_2$ incubator for 24 hr followed by XTT treatment and determination of absorbance at 450 or 490 nm. Our results may contribute to the establishment of an in vitro bioassay system, which could be used for the satisfactory quantitation of TGF-$\beta$.

• International Journal of Naval Architecture and Ocean Engineering
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• v.10 no.2
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• pp.170-179
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• 2018

This paper introduces a new method to study the hydroelastic behavior of hinged Very Large Floating Structures (VLFSs). A hinged two-module structure is used to confirm the present approach. For each module, the hydroelasticity theory proposed by Lu et al. (2016) is adopted to consider the coupled effects of wave dynamics and structural deformation. The continuous condition at the connection position between two adjacent modules is also satisfied. Then the hydroelastic motion equation can be established and numerically solved to obtain the vertical displacement, force and bending moment of the hinged structure. The results calculated by the present new method are compared with those obtained using three-dimensional hydroelasticity theory (Fu et al., 2007), which shows rather good agreement.

• The Journal of Advanced Prosthodontics
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• v.10 no.4
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• pp.271-278
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• 2018

PURPOSE. The purpose of this in vitro study was to evaluate the effect of abrasive toothbrushing on the surface properties of monolithic computer-assisted design and computer-assisted manufacturing (CAD/CAM) materials stored in food-simulating liquids (FSLs). MATERIALS AND METHODS. Fourty-eight disk-shaped test specimens of each material (Paradigm MZ100/PMZ, Lava Ultimate/LU, Vita Enamic/VE, and Vita Mark II/VMII) with a diameter of 10.0 mm and a thickness of $3.0{\pm}0.05mm$ were prepared. Specimens were divided into 4 subgroups (n=12) and stored in air, distilled water, 0.02 M citric acid, or 75% ethanol/water solution for 7 days at $36.5^{\circ}C$. Then, the specimens were brushed in a multi-station brushing machine under a vertical load of 2.0 N for 3 hours. Surface gloss (GU), roughness (Ra), and hardness (Vickers [VHN]) were measured after storage and brushing simulation. The data sets were statistically analyzed with 2 and 3-way ANOVAs followed by the Tukey's post-hoc comparisons (${\alpha}=.05$). RESULTS. Statistically significant difference was found among the materials concerning the results of surface properties. VMII showed the highest VHN, while PMZ produced the lowest. Storage in FSLs significantly affected the VHN of PMZ and LU. VMII showed the lowest Ra and highest GU irrespective of FSLs and of abrasive toothbrushing. VE, LU, and PMZ produced significant decrease in GU and increase in Ra after toothbrushing. CONCLUSION. Surface properties of monolithic CAD/CAM restorative materials were differently affected by the storage media and abrasive toothbrushing.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• Structural Engineering and Mechanics
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• v.34 no.6
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• pp.801-804
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• 2010

• Journal of the Chungcheong Mathematical Society
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• v.24 no.1
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• pp.59-64
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• 2011

In this paper, we show that every $C^1$-robustly positively expansive map is expanding.

• Herbal Formula Science
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• v.26 no.1
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• pp.65-80
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• 2018

Objectives : This study aims to sort out prescription candidates for four major symptoms of Parkinson's disease from Korean traditional medical publication, "Dongeuibogam". Methods : Medical terms related to four major symptoms of Parkinson's disease were primarily selected from "Dongeuibogam". Prescriptions that include at least one or more medical terms which are selected above were classified by the four major symptoms of Parkinson's disease, and finally analyzed to sort the most effective candidates. Results & Conclusions : 1. There are 18 medical terms in efficacy ($ch{\grave{i}}$ $z{\grave{o}}ng$, $j{\bar{u}}$ $lu{\acute{a}}n$, $j{\bar{i}}ng$${\check{u}}$ $ju{\check{a}}n$($ju{\check{a}}n$, $qu{\acute{a}}n$) $lu{\acute{a}}n$, $j{\bar{i}}ng$${\check{u}}$ $lu{\acute{a}}n$($lu{\acute{a}}n$) $t{\grave{o}}ng$, $j{\bar{i}}n$ $lu{\acute{a}}n$, $j{\bar{i}}n$ $t{\grave{i}}$, $sh{\check{o}}u$ $zh{\grave{e}}n$, $y{\acute{a}}ng$ $sh{\check{o}}u$, $lu{\acute{a}}n$ $j{\acute{i}}$, $lu{\acute{a}}n$ $b{\grave{i}}$, $r{\grave{o}}u$ $r{\acute{u}}n$, $zh{\grave{a}}n$ $di{\grave{a}}o$, $zh{\grave{a}}n$ $y{\acute{a}}o$, $zh{\grave{i}}$ $z{\acute{u}}$, $ch{\grave{e}}$ $t{\grave{o}}ng$, $ch{\bar{o}u}$ $ch{\grave{e}}$, $f{\bar{e}}ng$ $ch{\grave{u}}$, $ch{\grave{u}}$ $nu{\grave{o}}$) related to tremor, one of four major symptoms of Parkinson's disease. 2. There are 9 medical terms in efficacy ($qi{\acute{a}}ng$ $j{\acute{i}}$, $qi{\acute{a}}ng$ $zh{\acute{i}}$, $qi{\acute{a}}ng$ $t{\grave{o}}ng$, $j{\bar{u}}$ $j{\acute{i}}$, $j{\bar{i}}n$ $j{\acute{i}}$, $sh{\bar{e}}n$ $qi{\acute{a}}ng$, $lu{\acute{a}}n$ $j{\acute{i}}$, $y{\bar{a}}o$ $j{\acute{i}}$ $qi{\acute{a}}ng$, $xi{\grave{a}}ng$ $qi{\acute{a}}ng$) related to rigidity, one of four major symptoms of Parkinson's disease. 3. 38 prescription candidates (jiaweishouxingyuan, jiaweilonghusan, gehuajiexingtang, qiangfutang, qianghuoxuduantang, dawugongsan, duhuojishengtang, mahuangzuojingtang, fangfengbaizhumulitang, fangfengtongshengsan, baizhutang, buxinwan, fulingtang, binsusan, xieqingwan, sanbitang, shengdiqinliantang, shujinbaoansan, xingxiangsan, xiaotanfulingwan, shengjunwan, shenmizuojingtang, wuyaoshunqisan, yuzhenwan, wenjingyiyuantang, yiziqingjinsan, ziyinningshentang, shaoyaogancaotang, dingtongsan, zhushazhijiasan, cangzusan, chuanxiongfulingtang, tiedanyuan, choubaowan, duomingsan, xuanhusuosan, xuefengtang, huoluodan) were selected for tremor, one of the four major symptoms of Parkinson's disease. 4. 21 prescription candidates (qianghuoshengshitang, guizhiqianghuotang, guizhifuzitang, jiuweiqianghuotang(qianghuochonghetang), xiongzhixiangsusan, daqianghuotang, mahuangguizhitang, muguajian, fuzilizhongtang, shenzhusan, lianqiaobaidusan, yuzhensan, niuhuangjinhudan, renshenbaidusan, shaoyaogancaotang, jiuzhumuguazhou, cangzusan, shenxiangtianmatang, xiangjiaosan, xuefengtang, huishousan) were selected for rigidity, one of the four major symptoms of Parkinson's disease. 5. The results in this study ought to be verified by subsequent studies and clinical trials.

• Molecules and Cells
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• v.19 no.2
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• pp.268-278
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• 2005

We investigated the effect of cytosolic and extracellular $Ca^{2+}$ on $Ca^{2+}$ signals in pancreatic acinar cells by measuring $Ca^{2+}$ concentration in the cytosol($[Ca^{2+}]_c$) and in the lumen of the ER($[Ca^{2+}]_{Lu}$). To control buffers and dye in the cytosol, a patch-clamp microelectrode was employed. Acetylcholine released $Ca^{2+}$ mainly from the basolateral ER-rich part of the cell. The rate of $Ca^{2+}$ release from the ER was highly sensitive to the buffering of $[Ca^{2+}]_c$ whereas ER $Ca^{2+}$ refilling was enhanced by supplying free $Ca^{2+}$ to the cytosol with $[Ca^{2+}]_c$ clamped at resting levels with a patch pipette containing 10 mM BAPTA and 2 mM $Ca^{2+}$. Elevation of extracellular $Ca^{2+}$ to 10 mM from 1 mM raised resting $[Ca^{2+}]_c$ slightly and often generated $[Ca^{2+}]_c$ oscillations in single or clustered cells. Although pancreatic acinar cells are reported to have extracellular $Ca^{2+}$-sensing receptors linked to phospholipase C that mobilize $Ca^{2+}$ from the ER, exposure of cells to 10 mM $Ca^{2+}$ did not decrease $[Ca^{2+}]_{Lu}$ but rather raised it. From these findings we conclude that 1) ER $Ca^{2+}$ release is strictly regulated by feedback inhibition of $[Ca^{2+}]_c$, 2) ER $Ca^{2+}$ refilling is determined by the rate of $Ca^{2+}$ influx and occurs mainly in the tiny subplasmalemmal spaces, 3) extracellular $Ca^{2+}$-induced $[Ca^{2+}]_c$ oscillations appear to be triggered not by activation of extracellular $Ca^{2+}$-sensing receptors but by the ER sensitised by elevated $[Ca^{2+}]_c$ and $[Ca^{2+}]_{Lu}$.