• Korean Journal of Plant Taxonomy
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• v.45 no.4
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• pp.323-331
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• 2015

Pollen morphological characteristics of 7 taxa of the genus Aruncus L. (Rosaceae) were examined using scanning electron microscopy (SEM) to evaluate the taxonomic implication within the genus. Aruncus pollen grains were monad, tri-colporate with granular membranes, small in size ($P=8.33-12.57{\mu}m$, $E=8.93-14.40{\mu}m$), amb is sub-circular to circular, suboblate to prolate-spheroidal in shape (P/E = 0.68-1.70). The sexine ornamentation in all studied taxa was basically striate but existence of perforation (striate-perforate: A. dioicus, A. dioicus var. acuminatus, A. dioicus var. astilboides, A. dioicus var. pubescens, A. dioicus var. vulgaris; striate-pstilate: A. dioicus var. aethusifolius, A. gombalanus) and the widths of muri and grooves varied according to the taxa. In particular, relatively short, and sharply crested muri being a distinct feature of A. dioicus var. acuminatus. As a result, the various combination of each pollen characteristics could be useful to identify the some taxa of the genus Aruncus.

• Restorative Dentistry and Endodontics
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• v.22 no.2
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• pp.560-574
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• 1997

The present study was undertaken to investigate the crystal growth onto human enamel mineral and synthetic hydroxyapatite(HA) seeds in media resembling the enamel fluid composition. Effects of fluoride at high concentrations on the precipitation were also examined in a bench-top crystal growth model adopting a miniaturized reaction column. The Ca, P and F concentrations and pH values of the inlet and outlet solutions were determined. The recovered solid samples were weighed to assess the amount of minerals precipitated during the experimental period, and finally viewed under a scanning electron microscope. Remarkable findings were that 1) both biological and synthetic seeds with the same total surface areas yielded similar amounts of crystal growth, 2) the amount of crystal growth was accelerated in a manner depending on fluoride concentrations in the media, 3) SEM observations disclosed that without the addition of fluoride, precipitation of thin, plate-like OCP crystals became prominent, but by increasing the fluoride concentration(beyond 1ppm F), rod-like crystals having a pointed edge were most frequently observed, without any evidence for precipitation of the plate-like crystals. Furthermore, the dimension of rod-like crystals was increased in proportion to fluoride concentrations, 4) there was no difference in the morphological feature of precipitated mineral phase upon seeding between human enamel seed and synthetic HA seed. The overall results support the view that the seeded crystal growth model is of value to gain insight into the mechanism of enamel crystal growth under fluoride regimens.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.1
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• pp.1-14
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• 2021

The study has been carried out with an objective to prepare Siberian roe deer habitat potential maps in South Korea based on three geographic information system-based models including frequency ratio (FR) as a bivariate statistical approach as well as convolutional neural network (CNN) and long short-term memory (LSTM) as machine learning algorithms. According to field observations, 741 locations were reported as roe deer's habitat preferences. The dataset were divided with a proportion of 70:30 for constructing models and validation purposes. Through FR model, a total of 10 influential factors were opted for the modelling process, namely altitude, valley depth, slope height, topographic position index (TPI), topographic wetness index (TWI), normalized difference water index, drainage density, road density, radar intensity, and morphological feature. The results of variable importance analysis determined that TPI, TWI, altitude and valley depth have higher impact on predicting. Furthermore, the area under the receiver operating characteristic (ROC) curve was applied to assess the prediction accuracies of three models. The results showed that all the models almost have similar performances, but LSTM model had relatively higher prediction ability in comparison to FR and CNN models with the accuracy of 76% and 73% during the training and validation process. The obtained map of LSTM model was categorized into five classes of potentiality including very low, low, moderate, high and very high with proportions of 19.70%, 19.81%, 19.31%, 19.86%, and 21.31%, respectively. The resultant potential maps may be valuable to monitor and preserve the Siberian roe deer habitats.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.126-137
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• 2022

Whether an excellent animation film has vitality and charm largely depends on the aesthetic and emotional experience it brings to the audience, as well as the flexible use of the medium-long shot during the production of the animated film, especially the long take shot. It can then realize the real emotional communication between the animated film and the audience, stimulate the aesthetic experience, and achieve emotional resonance and sublimation. This thesis studies the characteristics and morphological divisions of moving long-shot composition and static composition and explores the diversified theories of animated emotional experience. Additionally, combined with the actual application analysis in the excellent animation feature "Prince Nezha's Triumph Against Dragon King", this thesis discussed the changes in the emotional experience created by the long take shots in the animation. This thesis finally summarized the relationship between the long shots in animation and the emotional experience of the animation creators, and how long shots stimulate viewers' aesthetic and emotional experience. In this way, it also provides a reference for future animation theory research, and finally creates animation works that bring high-quality emotional experience to the audience.

• Journal of Microbiology and Biotechnology
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• v.33 no.1
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• pp.106-113
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• 2023

The supply of microbiological risk-free water is essential to keep food safety and public hygiene. And removal, inactivation, and destruction of microorganisms in drinking water are key for ensuring safety in the food industry. Ultraviolet-C (UV-C) irradiation is an attractive method for efficient disinfection of water without generating toxicity and adversely affecting human health. In this study, the disinfection efficiencies of UV-C irradiation on Shigella flexneri (Gram negative) and Listeria monocytogenes (Gram positive) at various concentrations in drinking water were evaluated using a water purifier. Their morphological and physiological characteristics after UV-C irradiation were observed using fluorescence microscopy and flow cytometry combined with live/dead staining. UV-C irradiation (254 nm wavelength, irradiation dose: 40 mJ/cm²) at a water flow velocity of 3.4 L/min showed disinfection ability on both bacteria up to 10⁸ CFU/4 L. And flow cytometric analysis showed different physiological shift between S. flexneri and L. monocytogenes after UV-C irradiation, but no significant shift of morphology in both bacteria. In addition, each bacterium revealed different characteristics with time-course observation after UV-C irradiation: L. monocytogenes dramatically changed its physiological feature and seemed to reach maximum damage at 4 h and then recovered, whereas S. flexneri seemed to gradually die over time. This study revealed that UV-C irradiation of water purifiers is effective in disinfecting microbial contaminants in drinking water and provides basic information on bacterial features/responses after UV-C irradiation.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.2
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• pp.62-69
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• 2022

An electrocardiogram (ECG) is one of the most important biosignals, and in particular, continuous ECG monitoring is very important in patients with arrhythmia. There are many different types of arrhythmia (sinus node, sinus tachycardia, atrial premature beat (APB), and ventricular fibrillation) depending on the cause, and continuous ECG monitoring during daily life is very important for early diagnosis of arrhythmias and setting treatment directions. The ECG signal of arrhythmia patients is very unstable, and it is difficult to detect the R-peak point, which is a key feature for automatic arrhythmias detection. In this study, we develped a continuous measuring Holter ECG monitoring device and software for analysis and confirmed the utility of R-peak of the ECG signal with MIT-BIH arrhythmia database. In future studies, it needs the validation of algorithms and clinical data for morphological classification and prediction of arrhythmias due to various etiologies.

• The Korean Journal of Pain
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• v.36 no.2
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• pp.208-215
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• 2023

Background: To evaluate the feasibility, inter-reader reliability, and intra-reader reliability for various morphological features reported to be related to iliotibial band friction syndrome (ITBFS) on knee magnetic resonance imaging (MRI). Methods: A total of 145 patients with a clinical diagnosis and knee MRI findings consistent with ITBFS were included in the "study group" and 232 patients without knee pathology on both physical examination and MRI were included in the "control group". Various morphologic features on knee MRI were assessed including the patella shape, patella height, lateral epicondyle anterior-posterior (AP) width, lateral epicondyle height, ITB diameter (ITB-d), and ITB area (ITB-a). Results: Patients in the study group had significantly higher lateral epicondyle height (13.9 mm vs. 12.92 mm, P = 0.003), ITB-d (2.9 mm vs. 2.0 mm, P = 0.022), and ITB-a (38.5 mm² vs. 23.8 mm², P < 0.001) than the control group. ITB-a showed higher area under the curve index (0.849 with 74.1% sensitivity and 72.4% specificity at a 30.3 mm² cutoff) than ITB-d (0.710 with 70.8% sensitivity and 61.2% specificity at 2.4 mm cutoff) and lateral epicondyle height (0.776 with 72.4% sensitivity and 67.8% specificity at 13.4 mm cutoff). However, only the inter-reader agreement for ITB-a (intraclass correlation coefficient = 0.65) was moderate, while the agreements for other morphologic features were good or excellent. Conclusions: Lateral epicondyle height seems to be a reliable and feasible morphologic feature for diagnosis of ITBFS.

• Development and Reproduction
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• v.10 no.1
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• pp.1-7
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• 2006

Ovarian follicular atresia in mammals is finely regulated by gonadotropins and sex steroid hormones. It is well known that granulosa cell pyknosis is a common cytological feature of atretic follicles in the ovary. The present study hypothesized that granulosa cell pyknosis during follicular atresia might be related to apoptotic process and associated with caspase-3 activation. Healthy (normal) and atretic follicles were isolated from porcine ovaries based on macro-morphological criteria. Isolated follicles were either processed for histological observation or used for collection of granulosa cells by aspiration. Hoechst 33258 staining of the cells showed a significantly higher number of fragmented nuclei, a typical morphological feature of apoptotic cell, in granulosa cells from atretic follicles than those from healthy follicles. In addition, the rate of cell death was significantly higher in granulosa cells from atretic follicles than healthy follicles, as measured by flow-cytometric cell cycle analysis. In situ detection of apoptotic cells by TUNEL revealed that apoptosis was mostly restricted to granulosa cells in follicles. Theca cells were TUNEL-negative. Finally, it has been shown by caspase-3 activity assay that granulosa cells from atretic follicles retain a higher caspase-3 activity compared to healthy follicles. Taken together, it is suggested that granulosa cell degeneration during folliclar atresia occurs by caspase-3-dependent apoptotic fashion.

• The Korean Journal of Mycology
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• v.26 no.2 s.85
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• pp.182-186
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• 1998

The result of study on the morphological feature of fruitbody, soil characteristics and enviromental condition of habitat of Tricholoma giganteum in Korea was as follows: The Pileus was $5.5{\sim}28.0\;cm$ in diameter and $1.5{\sim}3.7\;cm$ in thickness, indicating of yellowish white, beige, or ivory color. The lamellae were $18{\sim}20\;mm$ in diameter; the stipe was $9.0{\sim}35.7\;cm$ long and $1.0{\sim}3.0\;cm$ wide. The spores were $3.5{\sim}4.8{\times}5.7{\sim}7.4\;{\mu}m$ in size, ellipsoid, hyaline and the spore deposit white. The basidia were $6.1{\sim}7.0{\times}32.2{\sim}39.2\;{\mu}m$ in size. Cheiloystidia were $3.5{\sim}4.4{\times}30.5{\sim}33.1\;{\mu}m$ in size. Pileipellis were $3.3{\sim}4.4{\times}33.0{\sim}55.0\;{\mu}m$ wide and had clamp connection. Stipitipellis were $2.2{\sim}3.3{\times}88.0{\sim}93.1\;{\mu}m$ in size. Texture of soil in habitate of T. giganteum was silty loam, and organic materials content and available phosphate content in this soil were high as comparision to general soil in Korea. In the time of the mushrooms sprout, the room temperature indicated $25{\sim}27^{\circ}C$, their humidity showed $80{\sim}83%$, and the brightnesses were 328 Lux.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.111-136
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• 2018

In this paper, we propose a methodology to extract answer information about queries from various types of unstructured documents collected from multi-sources existing on web in order to expand knowledge base. The proposed methodology is divided into the following steps. 1) Collect relevant documents from Wikipedia, Naver encyclopedia, and Naver news sources for "subject-predicate" separated queries and classify the proper documents. 2) Determine whether the sentence is suitable for extracting information and derive the confidence. 3) Based on the predicate feature, extract the information in the proper sentence and derive the overall confidence of the information extraction result. In order to evaluate the performance of the information extraction system, we selected 400 queries from the artificial intelligence speaker of SK-Telecom. Compared with the baseline model, it is confirmed that it shows higher performance index than the existing model. The contribution of this study is that we develop a sequence tagging model based on bi-directional LSTM-CRF using the predicate feature of the query, with this we developed a robust model that can maintain high recall performance even in various types of unstructured documents collected from multiple sources. The problem of information extraction for knowledge base extension should take into account heterogeneous characteristics of source-specific document types. The proposed methodology proved to extract information effectively from various types of unstructured documents compared to the baseline model. There is a limitation in previous research that the performance is poor when extracting information about the document type that is different from the training data. In addition, this study can prevent unnecessary information extraction attempts from the documents that do not include the answer information through the process for predicting the suitability of information extraction of documents and sentences before the information extraction step. It is meaningful that we provided a method that precision performance can be maintained even in actual web environment. The information extraction problem for the knowledge base expansion has the characteristic that it can not guarantee whether the document includes the correct answer because it is aimed at the unstructured document existing in the real web. When the question answering is performed on a real web, previous machine reading comprehension studies has a limitation that it shows a low level of precision because it frequently attempts to extract an answer even in a document in which there is no correct answer. The policy that predicts the suitability of document and sentence information extraction is meaningful in that it contributes to maintaining the performance of information extraction even in real web environment. The limitations of this study and future research directions are as follows. First, it is a problem related to data preprocessing. In this study, the unit of knowledge extraction is classified through the morphological analysis based on the open source Konlpy python package, and the information extraction result can be improperly performed because morphological analysis is not performed properly. To enhance the performance of information extraction results, it is necessary to develop an advanced morpheme analyzer. Second, it is a problem of entity ambiguity. The information extraction system of this study can not distinguish the same name that has different intention. If several people with the same name appear in the news, the system may not extract information about the intended query. In future research, it is necessary to take measures to identify the person with the same name. Third, it is a problem of evaluation query data. In this study, we selected 400 of user queries collected from SK Telecom 's interactive artificial intelligent speaker to evaluate the performance of the information extraction system. n this study, we developed evaluation data set using 800 documents (400 questions * 7 articles per question (1 Wikipedia, 3 Naver encyclopedia, 3 Naver news) by judging whether a correct answer is included or not. To ensure the external validity of the study, it is desirable to use more queries to determine the performance of the system. This is a costly activity that must be done manually. Future research needs to evaluate the system for more queries. It is also necessary to develop a Korean benchmark data set of information extraction system for queries from multi-source web documents to build an environment that can evaluate the results more objectively.