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박으뜸(Euddeum Park),양인영(Inyoung Yang) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
CFRP (Carbon Fiber Reinforced Plastic) is coming to be used from various field. Gradually the valence of accident according to increasing, the safety of mobile means being demanded more, is going. In order to raise safety the material which is the possibility to raise a shocking absorption more necessary. This paper is writing experiment result with character in gives the condition which specifies CFRP (Carbon Fiber Reinforced Plastic) that is one among those materials. This paper focus on comparison of water absorption rate and analysis of the change of energy absorption, which is under dry or wet condition, according the interface numbers of circular CFRP specimen which is under the hygrothermal environment.
Efficient Solid-Phase Synthesis of Glycopeptoids
Suekyung Cho,Woojeong Jang,Yunyoung Lee,Euddeum Park,Yong-Uk Kwon 한국당과학회 2010 한국당과학회 학술대회 Vol.2010 No.1
With the completion of the human genome projects, one of the most important scientific issues is to investigate the biological function of each protein. In higher organisms, the functional outputs of the numerous gene products seem to be much more complex when compared to the number of genes, emphasizing the importance of post-translational modifications such as glycosylation and phosphorylation. Despite the fact that glycoproteins are involved in various biological phenomena, the systematic studies of the effects of protein glycosylation have been limited due to the heterogeneity and structural complexity of carbohydrates. In order to access glycopeptides and glycoproteins of defined structure, various chemical, enzymatic and genetic approaches have been developed. As glycopeptide mimetics, we envisioned to develop glycopeptoids because peptoids have many advantages over peptides, including easy synthesis of libraries, a myriad of chemical diversity, proteolytic resistance and improved cell permeability. For the synthesis of glycopeptoids, we have employed the well established ‘submonomer strategy’ on the solid-phase using many commercially available primary amines and synthetically prepared sugar amines. In addition, diastereomeric sugar monomers were differentiated by using different amine linkers, resulting in successful sequencing by tandem mass spectrometry (MS/MS). Glycopeptoids should be useful chemical tools for various biological applications including studies for binding affinity to specific proteins or lectins, development of therapeutics such as antibiotics, and profiling studies of diseases.
Lee Kyu-Chong,Lee Kee-Hyoung,Kang Chang Ho,Ahn Kyung-Sik,Chung Lindsey Yoojin,Lee Jae-Joon,Hong Suk Joo,Kim Baek Hyun,Shim Euddeum 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.12
Objective: To evaluate the accuracy and clinical efficacy of a hybrid Greulich-Pyle (GP) and modified Tanner-Whitehouse (TW) artificial intelligence (AI) model for bone age assessment. Materials and Methods: A deep learning-based model was trained on an open dataset of multiple ethnicities. A total of 102 hand radiographs (51 male and 51 female; mean age ± standard deviation = 10.95 ± 2.37 years) from a single institution were selected for external validation. Three human experts performed bone age assessments based on the GP atlas to develop a reference standard. Two study radiologists performed bone age assessments with and without AI model assistance in two separate sessions, for which the reading time was recorded. The performance of the AI software was assessed by comparing the mean absolute difference between the AI-calculated bone age and the reference standard. The reading time was compared between reading with and without AI using a paired t test. Furthermore, the reliability between the two study radiologists’ bone age assessments was assessed using intraclass correlation coefficients (ICCs), and the results were compared between reading with and without AI. Results: The bone ages assessed by the experts and the AI model were not significantly different (11.39 ± 2.74 years and 11.35 ± 2.76 years, respectively, p = 0.31). The mean absolute difference was 0.39 years (95% confidence interval, 0.33– 0.45 years) between the automated AI assessment and the reference standard. The mean reading time of the two study radiologists was reduced from 54.29 to 35.37 seconds with AI model assistance (p < 0.001). The ICC of the two study radiologists slightly increased with AI model assistance (from 0.945 to 0.990). Conclusion: The proposed AI model was accurate for assessing bone age. Furthermore, this model appeared to enhance the clinical efficacy by reducing the reading time and improving the inter-observer reliability