• 대한상한금궤의학회지
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• v.7 no.1
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• pp.1-14
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• 2015

Objectives : The purpose of this study is to show the importance of Shanghanlun(傷寒論) paleography. Shanghanlun(傷寒論) must be thoroughly reinterpreted through graphonomy evidence. Methods : The object of this study is Gangpyeong-Shanghanlun(康平傷寒論), which is known as the oldest edition of Shanghanlun(傷寒論). This study compares the paleographic meaning of Shanghanlun(傷寒論), Mai(脈), Shanghanlun provisions 96 and 103 to existing interpretations. Results : Mai(脈) doesn't mean 'Radial pulse(Chon.Gwan.Cheok)' in Shanghanlun(傷寒論), so the meaning of Mai(脈) should be redefined. Mai(脈) means 'Continuous movement of human body' based on Chinese paleography. Also it's being verified as reasonable hypothesis in recent clinical researches. In addition, Shanghanlun(傷寒論) paleography makes it possible to grasp the true intention of Zhang Zhongjing(張仲景). Conclusions : Shanghanlun(傷寒論) paleography has a limit that it cannot be perfectly applied to clinical diagnosis. Also, it may not represent the whole meaning of Shanghanlun (傷寒論). Therefore, the value of Shanghanlun(傷寒論) reinterpretation should be recognized through this study, and we should continuously find out future values from Shanghanlun(傷寒論).

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.981-986
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• 2013

Background: The Pap smear has an important value in the early diagnosis of cervical cancer, a serious problem in womens health. This study aimed to determine the status of Turkish women regarding participation in Pap smear testing and affecting factors. Materials and Methods: This descriptive study was conducted on married women between 18-61 years of age selected from those who applied to the Obstetrics and Gynaecology Polyclinic of Atat$\ddot{u}$rk University in Erzurum between June-August 2010 for any reason. Data were collected using a questionnaire determining socio-demographic features and analyzed by descriptive statistics (mean, Sd, range, frequency, percentage) and Chi-square test. A level of p<0.05 was considered statistically significant. Results: Sixty six of the 301 women (21.9%) indicated that they heard a Pap smear test and 16.6% of women had experienced a test. The number of women participating increased with age, duration of marriage, number of births, knowledge about the Pap smear and perception of risk for cervical cancer. Conclusions: The importance of the Pap smear test needs to be explained to Turkish women by health staff, to increase awareness and participation in regular screening.

• Journal of Convergence Society for SMB
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• v.3 no.2
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• pp.19-25
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• 2013

Decision procedure was done with the evaluation of multi-criterion analysis. Importance of each criterion was considered through heuristically method, specially it was based on the heuristic least mean square algorithm. To consider coalition evaluation, it was carried out by calculation of Shapley index and Interaction value. The model output is also analyzed with the help of those two indexes, and the procedure was also displayed with details. Finally, the differences between the model output and the desired results are evaluated thoroughly, several problems are raised at the end of the example which require for further studying.

• International Journal of Reliability and Applications
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• v.17 no.2
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• pp.149-158
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• 2016

We are enjoying a very comfortable life thanks to modern civilization, however, comfort is not guaranteed to us. Development of software system is a difficult and complex process. Therefore, the main focus of software development is on improving the reliability and stability of a software system. We have become aware of the importance of developing software reliability models and have begun to develop software reliability models. NHPP software reliability models have been developed through the fault intensity rate function and the mean value functions within a controlled testing environment to estimate reliability metrics such as the number of residual faults, failure rate, and reliability of the software. In this paper, we present a new NHPP software reliability model with Burr Type III fault detection rate, and present the goodness-of-fit of the fault detection rate software reliability model and other NHPP models based on two datasets of software testing data. The results show that the proposed model fits significantly better than other NHPP software reliability models.

• Korean Journal of Materials Research
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• v.33 no.4
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• pp.164-174
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• 2023

The bandgap characteristics of semiconductor materials are an important factor when utilizing semiconductor materials for various applications. In this study, based on data provided by AFLOW (Automatic-FLOW for Materials Discovery), the bandgap of a semiconductor material was predicted using only the material's compositional features. The compositional features were generated using the python module of 'Pymatgen' and 'Matminer'. Pearson's correlation coefficients (PCC) between the compositional features were calculated and those with a correlation coefficient value larger than 0.95 were removed in order to avoid overfitting. The bandgap prediction performance was compared using the metrics of R² score and root-mean-squared error. By predicting the bandgap with randomforest and xgboost as representatives of the ensemble algorithm, it was found that xgboost gave better results after cross-validation and hyper-parameter tuning. To investigate the effect of compositional feature selection on the bandgap prediction of the machine learning model, the prediction performance was studied according to the number of features based on feature importance methods. It was found that there were no significant changes in prediction performance beyond the appropriate feature. Furthermore, artificial neural networks were employed to compare the prediction performance by adjusting the number of features guided by the PCC values, resulting in the best R² score of 0.811. By comparing and analyzing the bandgap distribution and prediction performance according to the material group containing specific elements (F, N, Yb, Eu, Zn, B, Si, Ge, Fe Al), various information for material design was obtained.

• Geomechanics and Engineering
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• v.36 no.4
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• pp.381-390
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• 2024

The introduction of bio-based materials has been recommended in the geotechnical engineering field to reduce environmental pollutants such as heavy metals and greenhouse gases. However, bio-treated soil methods face limitations in field application due to short research periods and insufficient verification of engineering performance, especially when compared to conventional materials like cement. Therefore, this study aimed to develop a machine learning model for predicting the unconfined compressive strength, a representative soil property, of biopolymer-based soil treatment (BPST). Four machine learning algorithms were compared to determine a suitable model, including linear regression (LR), support vector regression (SVR), random forest (RF), and neural network (NN). Except for LR, the SVR, RF, and NN algorithms exhibited high predictive performance with an R² value of 0.98 or higher. The permutation feature importance technique was used to identify the main factors affecting the strength enhancement of BPST. The results indicated that the unconfined compressive strength of BPST is affected by mean particle size, followed by biopolymer content and water content. With a reliable prediction model, the proposed model can present guidelines prior to laboratory testing and field application, thereby saving a significant amount of time and money.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.1-12
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• 2024

This study aims to find ways to increase the declining donation intention by using machine learning techniques. To this end, in order to predict factors that affect donations between the MZ generation and the senior generation, various machine learning algorithms, including logistic regression analysis, are applied to build a model to determine variables that affect donation intention, and provide statistical verification and evaluation indicators. In this study, differences in donation intention by generation were expected as a variable affecting donation intention, and the senior generation was expected to show a higher donation intention tendency than the younger generation. However, although the research results were not statistically significant, the younger generation showed a higher intention to donate, and these results are interpreted to mean that value consumption and ethical consumption, which are important to today's MZ generation, also influenced donations. However, there were differences between generations in the amount of donations, and higher donation amounts were confirmed among the senior generation (those in their 50s or older) than the younger generation. In addition, the results of the logistic regression analysis showed that previous donation experience had a positive effect on future donation intention, and the more motivation and importance of donation and various social participation activities online and offline, the more active one became in donating.

• Journal of Periodontal and Implant Science
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• v.43 no.1
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• pp.30-36
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• 2013

Purpose: Implant stability at the time of surgery is crucial for the long-term success of dental implants. Primary stability is considered of paramount importance to achieve osseointegration. The purpose of the present study was to investigate the correlation between the insertion torque and primary stability of dental implants using artificial bone blocks with different bone densities and compositions to mimic different circumstances that are encountered in routine daily clinical settings. Methods: In order to validate the objectives, various sized holes were made in bone blocks with different bone densities (#10, #20, #30, #40, and #50) using a surgical drill and insertion torque together with implant stability quotient (ISQ) values that were measured using the Osstell Mentor. The experimental groups under evaluation were subdivided into 5 subgroups according to the circumstances. Results: In group 1, the mean insertion torque and ISQ values increased as the density of the bone blocks increased. For group 2, the mean insertion torque values decreased as the final drill size expanded, but this was not the case for the ISQ values. The mean insertion torque values in group 3 increased with the thickness of the cortical bone, and the same was true for the ISQ values. For group 4, the mean insertion torque values increased as the cancellous bone density increased, but the correlation with the ISQ values was weak. Finally, in group 5, the mean insertion torque decreased as the final drill size increased, but the correlation with the ISQ value was weak. Conclusions: Within the limitations of the study, it was concluded that primary stability does not simply depend on the insertion torque, but also on the bone quality.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.4
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• pp.491-498
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• 2014

As internet services are being provided through a wireless access, the importance of quality of experience (QoE) is stressed that is defined as the quality that indicates user's actual feeling when a service is provided. Unlike quality of service (QoS) that can be expressed as a numerical value, it is difficult to represent QoE in an objective way. If an internet service is serviced over a wireless channel, its QoE can be affected by a number of factors such as fading, mobility and so on. This paper, therefore, attempts to specify the relationship between QoE and QoS by conducting practical measurements for the voice service through 3G high speed packet access (HSPA) access network. Analysing the measured results, it has been shown that received signal strength indicator (RSSI) has a great influence on mean opinion score (MOS) through transmission delay.

• The Korean Journal of Rehabilitation Nursing
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• v.1 no.1
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• pp.27-42
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• 1998

Osteoporosis is a major health problem in countries with aging populations, resulting in excess morbidity and mortality. This study was conducted to investigate knowledge and practices about osteoporosis in adults and to identify some factors which were influenced to that. 56-item questionnaire was developed including five domains(general characteristics, osteoporosis-related characteristics, knowledge of risk factors, knowledge of prevetion and practices). Subjects of this study were 368 adult ranged from 30 to 59. Data were collected during the period from June 15 to July 10, 1998 by means of a structured questionnare. The data were analyzed using descriptive statistics, t-test, ANOVA, Post Hoc, Pearson Correlation by SPSSWIN program. The results were as follows: 1. The mean knowledge score of risk factors for osteoporosis was 7.46(full score=15) and that of prevention of osteoporosis was 8,79(full score=12). 2. The mean practice score of osteoporosis was slightly higher than median value. 3. Women had better knowledge about osteoporosis risk factors and practiced more osteoporosis-prevention measures than men. Although the data demonstrated fairly good general knowledge about osteoporosis in the subjects, the older group(age 50-59), those at the highest risk of developing the disease, knew less about osteoporosis than the younger group(age 30-39) did. 4. The persons who had heard about osteoporosis and bone mineral density though mass media medical pratitioners and who didn't take any medicine for osteoporosis had better knowledge about osteoporosis and preventive measures. The practice score was significantly higer in the postmenopausal women and persons who were already diagnosed as osteoporosis patients, or who underwent bone mineral density measurements. 5. The relation between knowledge and practice was significant. In conclusion, there was a modest degree of general knowledge about osteoporosis and its consequences in adults. Further randomized studies are needed to evaluate the relationship between osteoporosis and risk factors. However, these results support the importance of education to prevent osteoporosis.