• 한국산림과학회지
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• 제9권1호
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• pp.75-80
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• 1969

우리나라 남부지방(南部地方)에 많이 분포(分布)되는 동백나무에 대(對)한 개화기인산(開花期燐酸) 효율(効率)과 체내행동(體內行動)에 대(對)하여 $P^{32}$ 표식인산(標識燐酸)을 사용(使用)하여 추적(追跡)하여 본바 다음과 같은 결과(結果)를 얻었다. 1. Flower-bud의 P%는 다른 부분(部分)의 약(約) 2배치(倍値)을 시현(示顯)하였고 Root와 Stem은 다같이 동일(同一)한 경시적(經時的) 변화상(變化相)을 나타내였다. 2. 체내이동(體內移動)은 전반적(全般的)으로 봐서 24시간(時間) 내(內)에 일어나는 것 같았으며 인산(燐酸) 함량비(含量比)는 Growing-Point와 Flower-bud가 나머지 3부분(部分)의 합계(合計)와 같은 절반치(切半値)를 점유(占有)하였다. 3. 동백나무의 부분별(部分別) 비방사능(比放射能)은 Growing-point가 가장 현저(顯著)하였고 48시간(時間) 이후(以後)에는 평균(平均) 80%이상(以上)을 해부분(該部分)이 차지하였으며 본(本) 실험(實驗) 결과(結果)에서 얻어진 인산(燐酸)의 효율도(効率度)(이용도(利用度))는 약(約) 19% 정도(程度)로 나타 났다.

• BMB Reports
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• 제28권1호
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• pp.72-78
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• 1995

Time-dependent inactivation of E. coli GTP cyclohydrolase I with a 2',3'-dialdehyde derivative of GTP (oGTP) was directed to the active site of the enzyme, and was dependent on the concentration of oGTP. The kinetics of inactivation were biphasic with a rapid reaction occurring immediately upon exposure of the enzyme to oGTP followed by a slow rate of inactivation. The $K_i$ value of oGTP for the enzyme was 0.25 mM. Inactivation was prevented by preincubation of the enzyme with GTP, the substrate of the enzyme. At 100% inactivation, 2.3 mol of [8.5'-$^3H$]oGTP were bound per each enzyme subunit, which consists of two identical polypeptides. The active site residue which reacted with the affinity label was lysine. oGTP interacted selectively with the ${\varepsilon}$-amino group of lysine in the GTP-binding site to form a morpholine-like structure which was stable without sodium borohydride treatment. However, triphosphate group was eliminated during the hydrolysis step. To identify the active site of the enzyme, [8.5'-$^3H$]oGTP-labeled enzyme was cleaved by endoproteinase Lys-C, and the $^3H$-labeled peptide was purified by HPLC. The amino acid sequence of the active site peptide was Pro-Ser-Leu-Ser-Lys, which corresponds to the aminoterminal sequence of the enzyme.

• Asian-Australasian Journal of Animal Sciences
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• 제33권1호
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• pp.12-23
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• 2020

Objective: The objective of a conservation program is to maintain maximum genetic diversity and preserve the viability of a breed. However, the efficiency of a program is influenced by the ability to accurately measure and predict genetic diversity. Methods: To examine this question, we conducted a simulation in which common measures (i.e. heterozygosity) and novel measures (identity-by-descent probabilities and parental genomic components) were used to estimate genetic diversity within a conserved population using double-labeled single nucleotide polymorphism markers. Results: The results showed that the accuracy and sensitivity of identity-by-state probabilities and heterozygosity were close to identity by descent (IBD) probabilities, which reflect the true genetic diversity. Expected heterozygosity most closely aligned with IBD. All common measures suggested that practices used in the current Chinese pig conservation program result in a ~5% loss in genetic diversity every 10 generations. Parental genomic components were also analyzed to monitor real-time changes in genomic components for each male and female ancestor. The analysis showed that ~7.5% of male families and ~30% of female families were lost every 5 generations. After 50 generations of simulated conservation, 4 male families lost ~50% of their initial genomic components, and the genomic components for 24.8% of the female families were lost entirely. Conclusion: In summary, compared with the true genetic diversity value obtained using double-labeled markers, expected heterozygosity appears to be the optimal indicator. Parental genomic components analysis provides a more detailed picture of genetic diversity and can be used to guide conservation management practices.

• Safety and Health at Work
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• 제8권4호
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• pp.364-370
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• 2017

Background: Labeled noise reduction (NR) data presented by manufacturers are considered one of the main challenging issues for occupational experts in employing hearing protection devices (HPDs). This study aimed to determine the actual NR data of typical HPDs using the objective fit testing method with a microphone in real ear (MIRE) method. Methods: Five available commercially earmuff protectors were investigated in 30 workers exposed to reference noise source according to the standard method, ISO 11904-1. Personal attenuation rating (PAR) of the earmuffs was measured based on the MIRE method using a noise dosimeter (SVANTEK, model SV102). Results: The results showed that means of PAR of the earmuffs are from 49% to 86% of the nominal NR rating. The PAR values of earmuffs when a typical eyewear was worn differed statistically (p < 0.05). It is revealed that a typical safety eyewear can reduce the mean of the PAR value by approximately 2.5 dB. The results also showed that measurements based on the MIRE method resulted in low variability. The variability in NR values between individuals, within individuals, and within earmuffs was not the statistically significant (p > 0.05). Conclusion: This study could provide local individual fit data. Ergonomic aspects of the earmuffs and different levels of users experience and awareness can be considered the main factors affecting individual fitting compared with the laboratory condition for acquiring the labeled NR data. Based on the obtained fit testing results, the field application of MIRE can be employed for complementary studies in real workstations while workers perform their regular work duties.

• Journal of Korea Trade
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• 제24권8호
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• pp.39-62
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• 2020

Purpose - Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea's reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product risk analysis methods for social media with a specific focus on Korean-labeled products, for the purpose of safeguarding Korean export trade. Design/methodology - We employed two social media datasets containing consumer-generated product reviews. Sentiment analysis is a popular text mining technique used to quantify the type and amount of emotion that is expressed in the text. It is a useful tool for gathering customer opinions regarding products. Findings - We document and discuss the specific potential risks found in Korean-labeled products and explain their implications for safeguarding Korean export trade. Finally, we analyze the false positive matches that arise from the established dictionaries that were used for risk discovery and utilize these classification errors to suggest opportunities for the future refinement of the associated automated text analytic methods. Originality/value - Various studies have used online feedback from social media to analyze product defects. However, none of them links their findings to trade promotion and the protection of a specific country's exports. Therefore, it is important to fill this research gap, which could help to safeguard export trade in Korea.

• Korean Journal of Radiology
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• 제19권6호
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• pp.1140-1146
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• 2018

Objective: To compare the spinal enumeration methods that establish the first lumbar vertebra in patients with spinal variants. Materials and Methods: Of the 1446 consecutive patients who had undergone computed tomography of the spine from March 2012 to July 2016, 100 patients (62 men, 38 women; mean age, 47.9 years; age range, 19-88 years) with spinal variants were included. Two radiologists (readers 1 and 2) established the first lumbar vertebra through morphologic analysis of the thoracolumbar junction, and labeled the vertebra by counting in a cranial-to-caudal manner. Inter-observer agreement was established. Additionally, reader 1 detected the 20th vertebra under the assumption that there are 12 thoracic vertebra, and then classified it as a thoracic vertebra, lumbar vertebra, or thoracolumbar transitional vertebra (TLTV), on the basis of morphologic analysis. Results: The first lumbar vertebra, as established by morphologic analysis, was labeled by each reader as the 21st segment in 65.0% of the patients, as the 20th segment in 31.0%, and as the 19th segment in 4.0%. Inter-observer agreement between the two readers in determining the first lumbar vertebra, based on morphologic analysis, was nearly perfect (${\kappa}$ value: 1.00). The 20th vertebra was morphologically classified as a TLTV in 60.0% of the patients, as the first lumbar segment in 31.0%, as the second lumbar segment in 4.0%, and as a thoracic segment in 5.0%. Conclusion: The establishment of the first lumbar vertebra using morphologic characteristics of the thoracolumbar junction in patients with spinal variants was consistent with the morphologic traits of vertebral segmentation.

• Smart Structures and Systems
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• 제29권6호
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• pp.757-766
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• 2022

To train deep learning algorithms, a sufficient number of data are required. However, in most engineering systems, the acquisition of fault data is difficult or sometimes not feasible, while normal data are secured. The dearth of data is one of the major challenges to developing deep learning models, and fault diagnosis in particular cannot be made in the absence of fault data. With this context, this paper proposes an anomaly detection methodology for rotating machines using only normal data with self-labeling. Since only normal data are used for anomaly detection, a self-labeling method is used to generate a new labeled dataset. The overall procedure includes the following three steps: (1) transformation of normal data to self-labeled data based on a pretext task, (2) training the convolutional neural networks (CNN), and (3) anomaly detection using defined anomaly score based on the softmax output of the trained CNN. The softmax value of the abnormal sample shows different behavior from the normal softmax values. To verify the proposed method, four case studies were conducted, on the Case Western Reserve University (CWRU) bearing dataset, IEEE PHM 2012 data challenge dataset, PHMAP 2021 data challenge dataset, and laboratory bearing testbed; and the results were compared to those of existing machine learning and deep learning methods. The results showed that the proposed algorithm could detect faults in the bearing testbed and compressor with over 99.7% accuracy. In particular, it was possible to detect not only bearing faults but also structural faults such as unbalance and belt looseness with very high accuracy. Compared with the existing GAN, the autoencoder-based anomaly detection algorithm, the proposed method showed high anomaly detection performance.

• 한국의류학회지
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• 제25권2호
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• pp.303-314
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• 2001

The purposes of this study were 1) to identify different sub-segments of tourism market in Cheju island based on fashion image of clothing souvenir and 2) to provide manufactures with useful information for developing cultural fashion goods related to Cheju island. The data were collected via a self-administered questionnaire from 192 female tourist(20-59 years old) in Cheju and analyzed by factor analysis, cluster analysis, one-way ANOVA and $\chi$$^2$-test. Six factors of fashion image were found image were found and labeled as: Sexy/feminine, wild/mannish, easy/simple, Cheju, ecology, natural image. Four factors of benefit sought were also identified: Practicality/economic-value, fashionability/preference of design, reputation and souvenir-value. Three groups were identified based on fashion image sought: Image of primitive nature(G1: 37.7%), image of nature in the city(G2: 20.1%), sexy/feminine image(G3: 42.2%). There were significant differences among sub-groups in age, fashion innovation, benefit sought and intention of buying Gal-ot. Younger females(20-30 ages) were included more in group 1 than group 2 while older females(40-50 ages) were included more in group 2. Group 1 had a higher score of fashion innovation comparing group 3. Group 1 had the highest scores on practicality/economic-value and souvenir-value. However, group 2 placed the highest importance on reputation as well as practicality/economic-value and group 3 had the lowest scores on all types of benefit. Group 1 and group 2 had intention of buying Gal-ot more than group 1. Based on the results of this study, manufactures may implement target marketing strategies on group 1 which sought the image of primitive nature and group 2 which sought the image of nature in the city.

• ETRI Journal
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• 제42권4호
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• pp.518-526
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• 2020

This paper presents an efficient hardware random-number generator based on a beta source. The proposed generator counts the values of "0" and "1" and provides a method to distinguish between pseudo-random and true random numbers by comparing them using simple cumulative operations. The random-number generator produces labeled data indicating whether the count value is a pseudo- or true random number according to its bit value based on the generated labeling data. The proposed method is verified using a system based on Verilog RTL coding and LabVIEW for hardware implementation. The generated random numbers were tested according to the NIST SP 800-22 and SP 800-90B standards, and they satisfied the test items specified in the standard. Furthermore, the hardware is efficient and can be used for security, artificial intelligence, and Internet of Things applications in real time.

• Asian Pacific Journal of Cancer Prevention
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• 제15권22호
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• pp.9921-9926
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• 2014

To investigate the value of expression of annexin A2, microvessel density (MVD) and CD105 in pancreatic ductal adenocarcinoma (PDAC) tissues and adjacent normal tissues, immunohistochemical staining was used. The positive expression rate of Annexin A2 and the MVD in pancreatic ductal adenocarcinoma tissues was higher than that in in adjacent normal tissues (p<0.005). Expression of Annexin A2 and MVD correlated with histological grade (p<0.05). MVD of cancers in TNM stage IIb was higher than that in TNM stageI~IIa (p<0.026). Cancerous tissues with Annexin A2 staining grade 3+ had lower MVD than the tissues with the other Annexin A2 staining grade (p<0.05). Patients with high MVD had worse prognosis. However, our study did not confirm Annexin A2 was an independent risk factor for patients with PDAC. We confirmed MVD labeled by CD105 was an independent risk factor for patients with PDAC and had moderate predictive value of prognosis.