Journal of Korean Society for Geospatial Information Science
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v.8
no.2
s.16
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pp.117-127
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2000
The economic development and the development of medical treatment by scientific technology development progressed the level of national people life and improved average life gradually. In this reason, old people who have finance power would like to receive a comport and high level service, though paying proper expense. In this study, receiving this requirement, we focused that silver town have reasonable and comfortable residing environment in developing rural and rest form silver town objecting external area of Chon-Ju city, and selected land suitability. Through the learning of the neural network theory in the method of land suitability, we applied in the full of study area and improved a flexible determination making as giving each class value in each cell. Also, we compare a method of land suitability using the neural network theory, and it's analysis with a method of land suitability by the duplication method of Boolean Logic have been used In Geo Spatial Information System(GSIS) and proved the Boolean Logic's lose of values and the propriety.
Dental caries, one of the most frequent dental disease, become larger because it can be thought as a simple disease. Further more, it can progress to unexpected root canal therapy with fabrication of crown that needs reduction of tooth structure. Base is required in a large caries and ZOE, ZPC, glass ionomer are used frequently as base material. They, with restorative material, can affect the longevity of the restoration. In this study, we assume that the mandibular 1st molar has deep class I cavity. So, installing the 3 base material, 3 kinds of fillings were restored over the base as follows; 1) amalgam only, 2) amalgam with ZPC, 3) amalgam with ZOE, 4) amalgam with GI cement, 5) gold inlay with ZPC, 6) gold inlay with GI cement, 7) composite resin only, 8) composite resin with GI cement. After develop the 3-dimensional model for finite element analysis, we observe the distribution of stress and temperature with force of 500N to apical direction at 3 point on occlusal surface and temperature of 55 degree, 15 degree on entire surface. The analyzed results were as follow : 1. Principal stress produced at the interface of base, dentin, cavity wall was smallest in case of using GI cement as base material under the amalgam. 2. Principal stress produced at the interface of base, dentin, cavity wall was smaller in case of using GI cement as a base material than ZPC under gold inlay. 3. Composite resin-filled tooth showed stress distributed over entire tooth structure. In other words, there was little concentration of stress. 4. ZOE was the most effective base material against hot stimuli under the amalgam and GI cement was the next. In case of gold inlay, GI cement was more effective than ZPC. 5. Composite resin has the small coefficient of thermal conductivity. So, composite resin filling is the most effective insulating material.
Sundd, Monica;Kundu, Suman;Jagannadham, Medicherla V.
BMB Reports
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v.35
no.2
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pp.143-154
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2002
The structural and functional aspects of ervatamin B were studied in solution. Ervatamin B belongs to the $\alpha+\beta$ class of proteins. The intrinsic fluorescence emission maximum of the enzyme was at 350 nm under neutral conditions, and at 355 nm under denaturing conditions. Between pH 1.0-2.5 the enzyme exists in a partially unfolded state with minimum or no tertiary structure, and no proteolytic activity. At still lower pH, the enzyme regains substantial secondary structure, which is predominantly $\beta$-sheet conformation and shows a strong binding to 8-anilino-1-napthalene-sulfonic acid (ANS). In the presence of salt, the enzyme attains a similar state directly from the native state. Under neutral conditions, the enzyme was stable in urea, while the guanidine hydrochloride (GuHCl) induced equilibrium unfolding was cooperative. The GuHCl induced unfolding transition curves at pH 3.0 and 4.0 were non-coincidental, indicating the presence of intermediates in the unfolding pathway. This was substantiated by strong ANS binding that was observed at low concentrations of GuHCl at both pH 3.0 and 4.0. The urea induced transition curves at pH 3.0 were, however, coincidental, but non-cooperative. This indicates that the different structural units of the enzyme unfold in steps through intermediates. This observation is further supported by two emission maxima in ANS binding assay during urea denaturation. Hence, denaturant induced equilibrium unfolding pathway of ervatamin B, which differs from the acid induced unfolding pathway, is not a simple two-state transition but involves intermediates which probably accumulate at different stages of protein folding and hence adds a new dimension to the unfolding pathway of plant proteases of the papain superfamily.
Objectives : The purpose of this study is to investigate the repeatability and reproducibility of the Ryodoraku acupuncture device. For such device to be accepted as a good apparatus for clinical diagnosis, the score it provides should be stable no matter who measure it or when it is measured, assuming all other conditions equal. Materials and Methods : Three oriental medical doctors who were well trained and fully aware of the usage of the Ryodoraku acupuncture device examined ten randomly selected patients three times. Each doctor measured the Ryodoraku scores three times from each of the 10 selected patients. Three doctors were involved in this experiment to investigate the reproducibility and each of them measured the Ryodoraku scores three times from each patient to investigate the repeatability. Data was analyzed with Friedman test, Spearman correlation test, and intra-class correlation coefficient(ICC) in SPSS ver. 18. Results : 1. The Friedman test showed that there is no statistically significant difference between the 1st, 2nd and 3rd Ryodoraku scores measured by the same examiner. It indicates that the Ryodoraku acupuncture device provides the repeatability. 2. Spearman correlation test confirmed the results obtained by the Fiedman test by showing that there exists a strong positive correlation between the three Ryodoraku scores measured by the same examiner. 3. A very high ICC among the three examiner assured that the Ryodoraku acupuncture device achieves the reproducibility. Conclusions : The Ryodoraku acupuncture device achieves the repeatability and reproducibility. However, we still recommend that a doctor trained to a certain level use the Device to carry out the diagnosis. Also, to improve the device in terms of Reproducibility even more, it should be considered to provide a manual for the exact usage.
International Journal of Fuzzy Logic and Intelligent Systems
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v.12
no.2
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pp.137-142
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2012
The temporal subtraction technique as one of computer aided diagnosis has been introduced in medical fields to enhance the interval changes such as formation of new lesions and changes in existing abnormalities on deference image. With the temporal subtraction technique radiologists can easily detect lung nodules on visual screening. Until now, two-dimensional temporal subtraction imaging technique has been introduced for the clinical test. We have developed new temporal subtraction method to remove the subtraction artifacts which is caused by mis-registration on temporal subtraction images of lungs on MDCT images. In this paper, we propose a new computer aided diagnosis scheme for automatic enhancing the lung nodules from the temporal subtraction of thoracic MDCT images. At first, the candidates regions included nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, a rule-base method and artificial neural networks is utilized to remove the false positives of nodule candidates which is obtained temporal subtraction images. We have applied our detection of lung nodules to 30 thoracic MDCT image sets including lung nodules. With the detection method, satisfactory experimental results are obtained. Some experimental results are shown with discussion.
In this paper, we present the main research results on the 2 Tesla class - superconducting MRI magnet which we have developed. Multi section type superconducting MRI main coil and various superconducting shims were designed and fabricated for obtaining the high field homogeneity, which is requested in the MR imaging. After assembling the magnet with room temperature bore cryostat field homogenity has been measured and analyzed by NMR field mapping system. According to this, field homogeneity of 22 ppm / 30 cm dsv was confirmed.
Objectives: This study was evaluated the marginal microleakage of two different adhesive systems before and after aging with two different dye penetration techniques. Materials and Methods: Class V cavities were prepared on the buccal and lingual surfaces of 48 human molars. Clearfil SE Bond and Single Bond (self-etching and etchand-rinse systems, respectively) were applied, each to half of the prepared cavities, which were restored with composite resin. Half of the specimens in each group underwent 10,000 cycles of thermocycling. Microleakage was evaluated using two dimensional (2D) and three dimensional (3D) dye penetration techniques separately for each half of each specimen. Data were analyzed with SPSS 11.5 (SPSS Inc.), using the Kruskal-Wallis and Mann-Whitney U tests (${\alpha}=0.05$). Results: The difference between the 2D and 3D microleakage evaluation techniques was significant at the occlusal margins of Single bond groups (p = 0.002). The differences between 2D and 3D microleakage evaluation techniques were significant at both the occlusal and cervical margins of Clearfil SE Bond groups (p = 0.017 and p = 0.002, respectively). The difference between the 2D and 3D techniques was significant at the occlusal margins of non-aged groups (p = 0.003). The difference between these two techniques was significant at the occlusal margins of the aged groups (p = 0.001). The Mann-Whitney test showed significant differences between the two techniques only at the occlusal margins in all specimens. Conclusions: Under the limitations of the present study, it can be concluded that the 3D technique has the capacity to detect occlusal microleakage more precisely than the 2D technique.
PURPOSES : This study deals with first traffic violations occurred by novice drivers, which may be associated with traffic accidents. The objective of this study is to identify what kinds of drivers' characteristics influence on duration till the first traffic violation. METHODS : For the study, Survival Analysis and Cox proportional hazard model, that are usually used in the medical field, were employed. Survival Analysis was conducted to investigate whether there exist differences in survival duration by each covariate, whereas Cox proportional hazard model was used to identify significant factors that affect survival duration till novice drivers violate traffic regulations for the first time after getting a driver license. RESULTS : The results of Survival Analysis indicate that female, age (less than 21), low-frequency examinee of written exam, and non-crash involved drivers have longer duration till the first violation compared to male, greater than 21 years old, high-frequency examinee of written exam, and crash involved drivers, respectively. For the Cox proportional hazard model, license class 1 acquisitor was found to increase the survival duration till the first traffic violation was made, while male, age of 21-24, age of 25-34, age of 45-54, and crash involved drivers were more likely to reduce the survival duration. CONCLUSIONS : Absolutely, traffic violation is closely related to traffic accidents and all of the drivers should keep the traffic regulations to enhance highway safety. The results of this study might provide some insights to construct safe road environments by controlling the factors that reduce the traffic violation duration of novice drivers.
Park, Chan-Hee;Lee, Jong-Hyung;Lee, Han-Gil;Kim, Ji-Hun
The Journal of Korea Assosiation for Disability and Oral Health
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v.14
no.2
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pp.71-77
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2018
This study was designed to evaluate basic data about dental treatment under general anesthesia in pediatric dentistry of Wonju Severance Christian Hospital. Sex, Age, location, preoperative physical status, intubation methods, inhalation agents, duration of anesthesia and treatment, performed treatment and postoperative follow-up period and frequency were collected based on electronic medical records of 239 patients who visited pediatric dentistry at Wonju Severance Christian Hospital from March 2011 to February 2017. There were the most patients between the ages of 5 - 9, and there was no significant difference between male and female. The largest number of patients visited the hospital from Wonju, where the hospital was located. Most of preoperative status was ASA Class I. Orotracheal intubation was used in 169 of patients (70.7%). As an anesthesia maintenance agent, drug containing sevoflurane was used in 153 of patients (64.0%). In performed treatment, dental restoration, sealant and stainless steel crowns were performed 3.8, 1.8 and 1.1 times per person. 129 patients (54.0%) attended follow-up appointments under 6 months and those of the number of appointments were 1 - 4 times in average. General anesthesia as a behavior guidance in pediatric dentistry is increasing. Clinical guidelines for pediatric patients under general anesthesia are required through follow-up studies.
KSII Transactions on Internet and Information Systems (TIIS)
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v.15
no.7
/
pp.2304-2320
/
2021
Intelligently detecting anomalies in health sensor data streams (e.g., Electrocardiogram, ECG) can improve the development of E-health industry. The physiological signals of patients are collected through sensors. Timely diagnosis and treatment save medical resources, promote physical health, and reduce complications. However, it is difficult to automatically classify the ECG data, as the features of ECGs are difficult to extract. And the volume of labeled ECG data is limited, which affects the classification performance. In this paper, we propose a Generative Adversarial Network (GAN)-based deep learning framework (called CAB) for heart arrhythmia classification. CAB focuses on improving the detection accuracy based on a small number of labeled samples. It is trained based on the class-imbalance ECG data. Augmenting ECG data by a GAN model eliminates the impact of data scarcity. After data augmentation, CAB classifies the ECG data by using a Bidirectional Long Short Term Memory Recurrent Neural Network (Bi-LSTM). Experiment results show a better performance of CAB compared with state-of-the-art methods. The overall classification accuracy of CAB is 99.71%. The F1-scores of classifying Normal beats (N), Supraventricular ectopic beats (S), Ventricular ectopic beats (V), Fusion beats (F) and Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively. Unclassifiable beats (Q) heartbeats are 99.86%, 97.66%, 99.05%, 98.57% and 99.88%, respectively.
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