• Bulletin of the Korean Chemical Society
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• 제32권4호
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• pp.1170-1178
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• 2011

In the present study, the approach of high accuracy mass measurements for phospholipid identifications was evaluated using a 7 T ESI-FTMS/linear ion trap MS/MS. Experiments were carried out for porcine brain, bovine liver, and soybean total lipid extracts in both positive and negative ion modes. In total, 59, 55, and 18 phospholipid species were characterized in the positive ion mode for porcine brain, bovine liver, and soybean lipid extracts, respectively. Assigned lipid classes were PC, PE, PEt, PS, and SM. In the negative ion mode, PG, PS, PA, PE, and PI classes were observed. In the negative ion mode, for porcine brain, bovine liver, and soybean lipid extracts, 28, 34, and 29 species were characterized, respectively. Comparison of our results with those obtained by other groups using derivatization-LC-APCI MS and nano-RP-LC-MS/MS showed that our approach can characterize PC species as effectively as those methods could. In conclusion, we demonstrated that high accuracy mass measurements of total lipid extracts using a high resolution FTMS, particularly, 7T FTMS, plus ion-trap MS/MS are very useful in profiling lipid compositions in biological samples.

• 센서학회지
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• 제22권2호
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• pp.136-143
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• 2013

In the study, novel blood pressure estimation method was proposed to improve the accuracy of oscillometric method. The proposed algorithm estimated the blood pressure by comparing and analyzing the point variation aspect of dicrotic notch on pulsating waveform during each cardiac cycle. The waveforms of each cardiac cycle were extracted by maximum points. The extracted pulsating waveforms were applied by re-sampling, end-matching, and normalization. The systolic and diastolic blood pressures were estimated by point variation aspect of dicrotic notch. The blood pressures, which were estimated from proposed algorithm, were compared and analyzed by blood pressures from oscillometric methods and auscultation. The systolic blood pressure from oscillometric methods were +0.88 mmHg more than proposed algorithm, and 1.875 less than the diastolic blood pressures from proposed algorithm. The systolic and diastolic blood pressures from auscultation were 2.89 mmHg and 3.44 mmHg less than the blood pressures from proposed algorithm. As the errors between blood pressures from proposed algorithm, oscillometric method and auscultation were less than 5 mmHg, the proposed algorithm was effective.

• Genomics & Informatics
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• 제19권1호
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• pp.11.1-11.8
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• 2021

For the novel coronavirus disease 2019 (COVID-19), predictive modeling, in the literature, uses broadly susceptible exposed infected recoverd (SEIR)/SIR, agent-based, curve-fitting models. Governments and legislative bodies rely on insights from prediction models to suggest new policies and to assess the effectiveness of enforced policies. Therefore, access to accurate outbreak prediction models is essential to obtain insights into the likely spread and consequences of infectious diseases. The objective of this study is to predict the future COVID-19 situation of Korea. Here, we employed 5 models for this analysis; SEIR, local linear regression (LLR), negative binomial (NB) regression, segment Poisson, deep-learning based long short-term memory models (LSTM) and tree based gradient boosting machine (GBM). After prediction, model performance comparison was evelauated using relative mean squared errors (RMSE) for two sets of train (January 20, 2020-December 31, 2020 and January 20, 2020-January 31, 2021) and testing data (January 1, 2021-February 28, 2021 and February 1, 2021-February 28, 2021) . Except for segmented Poisson model, the other models predicted a decline in the daily confirmed cases in the country for the coming future. RMSE values' comparison showed that LLR, GBM, SEIR, NB, and LSTM respectively, performed well in the forecasting of the pandemic situation of the country. A good understanding of the epidemic dynamics would greatly enhance the control and prevention of COVID-19 and other infectious diseases. Therefore, with increasing daily confirmed cases since this year, these results could help in the pandemic response by informing decisions about planning, resource allocation, and decision concerning social distancing policies.

• 대한한의진단학회지
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• 제10권1호
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• pp.78-97
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• 2006

Background: There was seldom study about method that estimate expertness of pulse diagnosis in 8 Constitution Medicine in spite of the diagnostician importance in 8 Constitution Medicine Objectives: This study is to evaluate diagnostician's consistency and accuracy about pulse diagnosis in 8 Constitution Medicine using Cage R&R study. Methods: The subjects were comprised of 28 volunteers. Among theme, 3 diagnosticians and 10 participants were chosen through questionnaire. Diagnosticians diagnosed participant's Constitution by pulse diagnosis in 8 Constitution Medicine with hiding their eyes by eyepatch. MINITAB statistical software(ver. 13.20) was used for statistical analysis: Attribute Cage R&R study was used to verify the results. Results: 1. In the measurements of consistency, diagnostician b(agreement=80%, Value of k=0.8276)was very good, diagnostician a(agreement=70%, Value of k=0.7465) was good, and diagnostician c(agreement=50%, Value of k=0.5365) was moderate. 2. In the measurements of accuracy, diagnostician b(agreement =70%, Value of t=0.6812) was good, diagnostician a(agreement=60%. Value of t=0.6414) was good, and diagno-stician c(agreement=0%, Value of k=-0.1000) was poor. 3. In cofidence of diagnosis, diagnostician c was 75%, diagnostician a was 70%, and diagnostician b was 64%. Conclusion: The results suggest that diagnostician's consistency and accuracy about pulse diagnosis in 8 Constitution Medicine can be evaluated by Cage R&R study. further study is needed for estimation method of pulse diagnosis in 8 Constitution Medicine.

• Journal of Microbiology and Biotechnology
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• 제31권9호
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• pp.1241-1255
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• 2021

This study was carried out to explore a non-chemical strategy for enhancing productivity by employing some antagonistic rhizobacteria. One hundred eighteen bacterial isolates were obtained from the rhizospheric zone of various crop fields of Gangwon-do, Korea, and screened for antifungal activity against Fusarium wilt (Fusarium oxysporum f. sp. lactucae) in lettuce crop under in vitro and in vivo conditions. In broth-based dual culture assay, fourteen bacterial isolates showed significant inhibition of mycelial growth of F. oxysporium f. sp. lactucae. All of the antagonistic isolates were further characterized for the antagonistic traits under in vitro conditions. The isolates were identified on the basis of biochemical characteristics and confirmed at their species level by 16S rRNA gene sequencing analysis. Arthrobacter sulfonivorans, Bacillus siamensis, Bacillus amyloliquefaciens, Pseudomonas proteolytica, four Paenibacillus peoriae strains, and Bacillus subtilis were identified from the biochemical characterization and 16S rRNA gene sequencing analysis. The isolates EN21 and EN23 showed significant decrease in disease severity on lettuce compared to infected control and other bacterial treatments under greenhouse conditions. Two bacterial isolates, EN4 and EN21, were evaluated to assess their disease reduction and growth promotion in lettuce in field conditions. The consortium of EN4 and EN21 showed significant enhancement of growth on lettuce by suppressing disease caused by F. oxysporum f. sp. lactucae respectively. This study clearly indicates that the promising isolates, EN4 (P. proteolytica) and EN21 (Bacillus siamensis), can be commercialized and used as biofertilizer and/or biopesticide for sustainable crop production.

• 대한한의진단학회지
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• 제15권1호
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• pp.29-46
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• 2011

Objectives: The purpose of our study is to develop and verify questionnaire using temperament and character inventory (TCI) in the future by contemplating the comparative study on TCI and psychological testing Questionnaires. Methods: We investigate the research searched by keyword: 'TCI' and 'Questionnaire' through internet search engines, Pub Med, Science Direct and Springer Link. Results: The comparative study of TCI and psychological testing Questionnaires(SPAQ, BDI, TAS-20, MAC, DSQ) which have the purpose of diagnosing personal disorder is helpful for the verification of the level of adequacy of the concerned psychological testing Questionnaire and contributes to the understanding of psychobiological characteristics of each of personal disorders. The comparative study of TCI and psychological testing Questionnaires(MMPI, NEO, CPI) which have the purpose of comprehending general personality is helpful for the verification of the level of adequacy of the concerned psychological testing Questionnaire and contributes to the understanding of meaning of questionnaire-scales. The comparative study of TCI and constitution-psychological testing Questionnaire(QSCC II) is helpful for the verification of the level of adequacy and the understanding of the concerned constitution-psychological testing Questionnaire and contributes to the understanding of psychobiological characteristics of each of constitutions. Conclusions: TCI is a useful tool to understand the psychological testing Questionnaire more deeply and verify the level of the adequacy, and from now on for the development and verification of Oriental medicinal-psychological testing Questionnaire, the study comparing it with TCI should be actively used.

• 한국의학물리학회지:의학물리
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• 제22권4호
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• pp.172-177
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• 2011

본 연구에서는 소동물의 심근에서 $^{68}Ga$-BAPEN PET 영상분석을 통해 심혈 영상 추적자로서의 적용가능성을 보고자 하였다. 소동물용 PET/CT에서 쥐 9마리를 대상으로 120분간의 $^{68}Ga$-BAPEN PET/CT 스캔을 시행하였다. 특별히 킷트를 통해 간편하고 저비용으로 $^{68}Ga$-BAPEN을 합성이 가능하였다. PET 영상은 쥐의 몸통부분에서 $^{68}Ga$-BAPEN의 생체 동적분포를 나타낸다. $^{68}Ga$-BAPEN PET 영상은 처음 수분간 대동맥과 간에서의 섭취가 나타났고 점차 심근에서의 섭취가 이루어졌다. 관심영역은 좌심근, 심혈, 폐, 간에 그렸고 시간-방사능 곡선을 얻었다. 시간-방사능 곡선에서 $^{68}Ga$-BAPEN이 쥐 심근에 잘 결합하는 것을 확인 할 수 있었다. 정확한 약동학적 파라미터 도출을 위한 최소 PET 스캔시간은 타장 기와의 영상 대조도가 일정비에 이르는 주사 후 60분이 적합하였다. 이때 심근의 섭취를 심혈, 간, 폐에서의 섭취로 나누어 얻은 영상 대조도는 각각 1.66, 0.60, 2.82였다. 결론적으로 $^{68}Ga$-BAPEN은 심근 혈류 질환을 진단하기 위한 추적자로서 적합하며 지속적인 연구가 이루어진다면 임상에서의 진단활용에 도움이 될 것이라 예상된다.

• 대한공업교육학회지
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• 제41권2호
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• pp.151-171
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• 2016

본 연구의 목적은 학부생 대상 학제간 융합 전공수업이 수강생의 대인관계, 자원 정보 기술의 활용, 의사소통 역량 향상의 효과를 검증하는 것이다. 이를 위해 학제간 융합수업 수강생 43명을 실험집단으로, 융합수업과 관련이 없는 교과목 수강생 44명을 통제집단으로 나누었다. 각 역량 및 하위영역의 역량 향상 정도를 알아보기 위해 집단 내변화량 차이 대응표본 t-검정, 사후검사 집단 간 차이 독립표본 t-검정을 시행하였다. 연구결과, 학제간 융합수업은 대인관계 역량 향상에는 통계적으로 유의미한 차이를 보였으나, 자원 정보 기술의 활용 역량과 의사소통 역량은 통계적으로 유의미한 차이를 보이지 않았다. 이러한 결과는 학제간 융합수업 설계 시, 기존의 자원 정보 기술의 활용과 의사소통 역량 향상 활동에 대한 수정이 필요함을 시사한다. 본 연구는 대학생 핵심역량 진단평가 도구를 활용하여 융합수업의 효과를 검증한 것으로서 핵심역량 기반 융합수업의 경험적 연구 사례로서 의의가 있다.

• Journal of Contemporary Eastern Asia
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• 제23권1호
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• pp.35-57
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• 2024

The overarching purpose of this study is to examine the current status of academic public engagement in Vietnam. Data were obtained from a survey with 245 university lecturers, and descriptive statistics were used jointly with Bayesian statistics as tools for analysis. This study reveals that a significant proportion of university lecturers are not involved in public engagement, neither through the public press (66.5%) nor social media (49%). Those who have been active in public engagement use the public press and social networks to communicate science, with the latter being more used than the former. In addition, this study also pointed out that experienced scientists tend to engage with the public press, while early-career researchers often choose social networks. The findings of this study provide implications for higher education policymakers and administrators.

• 신재생에너지
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• 제7권1호
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• pp.36-44
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• 2011

Technology is developed from the efficient interaction with other technology files while building up its own research field. This study analyzes the structure of solar cell research area and describes its paths of the technology development in terms of interdisciplinary diversity using the Co-Classification method during 1979-2009. As a results, 1,380 studies are determined as the interdisciplinary among the 2,605 studies. It shows that 52.98% of the solar cell researches have interdisciplinary relationships with two or more research fields. In addition, we show that the research area of solar cell technology is composed by Material Science, Multidisciplinary and Energy & Fuel, Physics, Applied, Chemistry, Physical from the Co-Classification matrix and network analysis. It means the complexity of the technological knowledge production increased with the concept of interdisciplinary. The results can be used for the planning of the efficient solar cell technology development.