• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.261-262
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• 2002

• International Journal of Quality Innovation
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• v.1 no.1
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• pp.38-57
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• 2000

Quality science may be defined as the subject promoting both quality and productivity, which may include quality management, quality engineering and technology innovation. The research and application of quality science have been in existence for many years in China. This report first reviews its recent history as well as the analysis of the status quo. Finally, a prospectus and comments section for the future of quality science points out the development trends and its significant effectiveness on China's modem economics.

• Journal of the Korean Mathematical Society
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• v.49 no.1
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• pp.69-83
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• 2012

In this note, we present certain circular domain, named Forelli-Rudin construction or Hua construction, which is built on Cartan domains. We compute the explicit Bergman kernel for it and get the corresponding weighted Bergman kernel on its base.

• Journal of applied mathematics & informatics
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• v.28 no.3_4
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• pp.723-737
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• 2010

In this paper, we investigate the sampling theorem for frame in multiwavelet subspaces. By the frame satisfying some special conditions, we obtain its dual frame with explicit expression. Then, we give an equivalent condition for the sampling theorem to hold in multiwavelet subspaces. Finally, a sufficient condition under which the sampling theorem holds is established. Some typical examples illustrate our results.

• International Journal of Quality Innovation
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• v.4 no.2
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• pp.65-72
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• 2003

This paper mainly studies to build control charts under different alarm rule. For different alarm rule, the control limit parameters of a control chart should be changed, then some kinds of control schemes under different alarm rule were compared and the methods of calculating ARL for different control schemes were given.

• International Journal of Quality Innovation
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• v.8 no.1
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• pp.87-98
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• 2007

A COQ model plays an important role in the total quality cost survey. Based on the methodology of continuous quality improvement, a dynamic COQ model for different quality level is developed in this paper. A quality level is defined by Six Sigma level that can be measured by two indicators. The relationships among the four major quality costs are analyzed. Finally, the curves of total quality costs for different quality level are presented.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.2
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• pp.613-615
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• 2012

The aim of this study was to ana1yze T-cell lymphoma invasion and metastasis-inducing factor 1 (Tiam1) expression in 1ung cancer patients. A total of 204 patients with lung cancer tissue lesions were enrolled in the present study, along with 40 cases of normal lung tissue and 40 of normal fetal lung tissue. Tiam1 protein expression level was determined using intensity quantitative analysis, for comparison in lung cancer, metastatic, normal lung, and fetal lung tissue. The positive unit (PU) of Tiam1 was $13.5{\pm}5.42$ in lung cancer,$5.67{\pm}1.56$ in norma1 epithelial cells, and $5.89{\pm}1.45$ in fetal lung epithelial cells. The value in the lung cancer tissue was significantly higher than that in the normal lung tissue and the fetal lung tissue (P<0.01). The Tiam1 PU values with lymph node metastasis and without 1ymph node metastasis were $15.2{\pm}4.34$ and $12.5{\pm}4.23$, respectively, and the difference was statistically significant (P<0.05). The Tiam1 PU values in different tumor, nodes, metastasis (TNM) stages, III-IV period, and I-II phase were $14.7{\pm}4.14$ and $11.0{\pm}5.34$ (P<0.05). A correlation was found between Tiam1 expression and the age of patient, tumor size, tumor type, and tumor differentiation. Tiam1 protein expression in the lung tumor tissue is significantly higher than that in the normal lung tissue and fetal lung tissue. Tiam1 expression may be closely related to lung cancer development and metastasis.

• Structural Engineering and Mechanics
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• v.72 no.5
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• pp.541-555
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• 2019

Wind induced dynamic responses on hyperbolic cooling tower (HCT) shells are complicated functions of structure and wind properties, such as the fundamental frequency f_min, damping ratio ζ, wind velocity V, correlationship in meridian direction and so on, but comprehensions on the sensitivities of the dynamic responses to these four factors are still limited and disagree from each other. Following the dynamic calculation in time domain, features of dynamic effects were elaborated, focusing on the background and resonant components σ_B and σ_R, and their contributions to the total rms value σ_T. The σ_R is always less than σ_B when only the maximum σ_T along latitude is concerned and the contribution of σ_R to σ_T varies with responses and locations, but the σ_R couldn't be neglected for structural design. Then, parameters of the above four factors were artificially adjusted respectively and their influences on the gust responses were illustrated. The relationships of σ_R and the former three factors were expressed by fitted equations which shows certain differences from the existing equations. Moreover, a new strategy for wind tunnel tests aiming at surface pressures and the following dynamic calculations, which demands less experiment equipment, was proposed according to the influence from meridian correlationship.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.3
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• pp.1419-1422
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• 2014

Objective: To summarize the endoscopic screening findings in high-risk population of esophageal and gastric carcinoma and analyze influential factors related to screening. Methods: In seven selected cities and counties with high incidences of esophageal carcinoma, people at age of 40-69 were set as the target population. Those with gastroscopy contradictions were excluded, and all who were voluntary and willing to comply with the medical requirements were subjected to endoscopic screening and histological examination for esophageal, gastric cardia and gastric carcinoma in accordance with national technical manual for early detection and treatment of cancer. Results: In three years, 36,154 people were screened, and 16,847 (46.60%) cases were found to have precancerous lesions. A total of 875 cases were found to have cancers (2.42%), and among them 739 cases had early stage with an early diagnosis rate is 84.5%. Some 715 patients underwent prompt treatment and the success rate was 81.8%. Conclusions: In a high-risk population of esophageal and gastric carcinoma, it is feasible to implement early detection and treatment by endoscopic screening. Screening can identify potential invasive carcinoma, early stage carcinoma and precancerous lesions, improving efficacy through early detection and treatment. The exploratory analysis of related influential factors will help broad implementation of early detection and treatment for esophageal and gastric carcinoma.

• Wind and Structures
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• v.23 no.4
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• pp.367-383
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• 2016

The influence mechanism of mean value components, noted as $P_0$, on POD applications for complete random fields $P_C(t)$ and fluctuating random fields $P_F(t)$ are illustrated mathematically. The critical philosophy of the illustration is introduction of a new matrix, defined as the correlation function matrix of $P_0$, which connect the correlation function matrix of $P_C(t)$ and $P_F(t)$, and their POD results. Then, POD analyses for several different wind pressure fields were presented comparatively as validation. It's inevitable mathematically that the first eigenmode of $P_C(t)$ resembles the distribution of $P_0$ and the first eigenvalue of $P_C(t)$ is close to the energy of $P_0$, due to similarity of the correlation function matrixs of $P_C(t)$ and $P_0$. However, the viewpoint is not rigorous mathematically that the first mode represents the mean pressure and the following modes represent the fluctuating pressure when $P_C(t)$ are employed in POD application. When $P_C(t)$ are employed, POD results of all modes would be distorted by the mean value components, and it's impossible to identify $P_0$ and $P_F(t)$ separately. Consequently, characteristics of the fluctuating component, which is always the primary concern in wind pressure field analysis, can only be precisely identified with $P_0$ excluded in POD.