• 한국식품영양학회지
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• 제34권5호
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• pp.477-486
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• 2021

To utilize Malus pruniforia Borkh. as a functional material, cold-water (CW), hot-water (HW), and 70% ethanol (EtOH) extracts were prepared, and their antioxidant and anti-inflammatory activities were compared. The antioxidant activity of the HW extract evaluated by ABTS and DPPH radical scavenging and FRAP activity was significantly effective. The total polyphenol content of the HW extract was also higher by 15.5±0.7 mg GAE/g extract compared to other extracts. The EtOH extract showed significantly decreased TNF-α (39.8%), IL-6 (65.5%), and NO (34.9%) levels in RAW 264.7 cells compared to the LPS-induced control group. The levels of IL-6 (21.1%) and IL-8 (19.3%) were significantly decreased by treatment of EtOH extract in HaCaT keratinocytes induced with TNF-α and IFN-γ. The UHPLC-MS results indicated that the EtOH extract might have chlorogenic acid and phlorizin as the major compounds. This was validated using HPLC-DAD, which showed that the EtOH extract had higher levels of chlorogenic acid and phlorizin (1,185±58 and 470±10 ㎍/g extract, respectively). In conclusion, the present study suggested that the anti-inflammatory activity of the EtOH extract was more effective than the CW and HW extracts, and chlorogenic acid and phlorizin could be used as indicator compounds and functional substances.

• 디지털융복합연구
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• 제19권12호
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• pp.29-42
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• 2021

한국의 저출산 심화에 따라 본 연구는 정부의 저출산 대응정책과 그에 대한 대중인식을 비교하여 근본적인 차이점을 밝히고자 했다. 이를 위해 네 차례의 '저출산·고령사회 기본계획'과 제3·4차 기본계획 발표 직후 2주간의 뉴스 댓글을 분석대상으로 선정하여, 빈도분석, 동시출현단어 분석, 구조적 등위성 분석을 실시하였다. 정책문서 빈도분석결과 제1·2차 시기는 직접적인 보육지원이, 제3·4차 시기부터는 사회구조적인 접근이 눈에 띄었다. 동시출현단어 분석에서는 정책과 댓글 모두 '육아'에서 일과 가정의 양립을 지향하였다. '결혼'과 '출산'의 경우 댓글은 연속성, 정책은 단절성이 두드러지며 특히 주거와 고용문제에서 큰 차이가 있었다. 댓글의 구조적 등위성 분석 결과에서는 대중들의 자녀 양육환경에 대한 관심, 정책 실효성에 대한 문제의식을 확인할 수 있었다. 본 연구는 빅데이터를 활용해 대중들의 인식을 확인하였다는 점에서 의의를 가지므로, 이에 근거한 정책 개선 등 향후 저출산 대응이 나아가야 할 방향을 수립하는 데 도움을 줄 수 있을 것이다.

• BMB Reports
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• 제52권7호
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• pp.463-468
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• 2019

Autosomal dominant polycystic kidney disease (ADPKD), one of the most common human monogenic diseases (frequency of 1/1000-1/400), is characterized by numerous fluid-filled renal cysts (RCs). Inactivation of the PKD1 or PKD2 gene by germline and somatic mutations is necessary for cyst formation in ADPKD. To mechanistically understand cyst formation and growth, we isolated RCs from Korean patients with ADPKD and immortalized them with human telomerase reverse transcriptase (hTERT). Three hTERT-immortalized RC cell lines were characterized as proximal epithelial cells with germline and somatic PKD1 mutations. Thus, we first established hTERT-immortalized proximal cyst cells with somatic PKD1 mutations. Through transcriptome sequencing and Gene Ontology (GO) analysis, we found that upregulated genes were related to cell division and that downregulated genes were related to cell differentiation. We wondered whether the upregulated gene for the chemokine CXCL12 is related to the mTOR signaling pathway in cyst growth in ADPKD. CXCL12 mRNA expression and secretion were increased in RC cell lines. We then examined CXCL12 levels in RC fluids from patients with ADPKD and found increased CXCL12 levels. The CXCL12 receptor CXC chemokine receptor 4 (CXCR4) was upregulated, and the mTOR signaling pathway, which is downstream of the CXCL12/CXCR4 axis, was activated in ADPKD kidney tissue. To confirm activation of the mTOR signaling pathway by CXCL12 via CXCR4, we treated the RC cell lines with recombinant CXCL12 and the CXCR4 antagonist AMD3100; CXCL12 induced the mTOR signaling pathway, but the CXCR4 antagonist AMD3100 blocked the mTOR signaling pathway. Taken together, these results suggest that enhanced CXCL12 in RC fluids activates the mTOR signaling pathway via CXCR4 in ADPKD cyst growth.

• 방송공학회논문지
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• 제24권3호
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• pp.411-419
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• 2019

오늘날 인공지능은 과학기술 공학 분야에 가장 중요한 기술로 떠오르고 있다. 방송미디어를 포함한 모든 과학기술은 완전히 새로운 기술의 등장으로 급격한 변화의 시대를 맞고 있다. 여럿의 핵심 기술과 그것의 운용이 전례없는 새로운 방식으로 융합하는 현상이 전개되고 있는 것이다. 이를테면 NBIC 기술융합현상을 꼽을 수 있다. 컴퓨터의 데이터 처리 능력과 속도가 기하급수적(exponentially)로 발달함으로서 나노, 바이오생명, 디지털 테크놀러지 그리고 인공지능 기술의 융합이 가능해진 것이다. 이 모든 기술융합의 현상의 중심에 인공지능이 위치한다. 인공지능 기술은 구글, 애플, 페이스북, 에플 등 거대 플랫폼 기업의 핵심역량으로 자리매김하고 있다. 디지털기술과 사이버네틱스를 기반으로 한 인공지능은 현재뿐만 아니라 미래 플랫폼 기업에 결정적인 전략자산이 될 것이 확실하다. 이러한 맥락과 배경에서 트랜스휴머니즘(더나아가 포스트휴머니즘)에 대한 논의와 연구가 북미와 서유럽 국가들을 중심으로 활발하게 일어나고 있으며 전세계적으로 확산하고 있는 추세이다. 일반적으로 트랜스휴머니즘은 인간역능을 개선, 향상(강화)하고 전통적인 휴머니즘에 도전하는 기술기반의 새로운 사상의 흐름을 말한다. 트랜스(포스트)휴머니즘은 과학기술의 발달로 촉발되었지만, 이것은 인간과 인류문명에 대해 근본적인 질문을 제기하고 있다는 점에서 과학기술영역을 넘어 횡단적이고, 특히 인문과학 중심의 학제적인 논의를 필요로 한다. 방송미디어가 단순히 기술공학 만이 아니라 정치와 문화영역, 즉 인간의 일상과 인류의 미래에 지대한 영향을 미치는 분야라는 사실을 고려한다면 인공지능기술과 그것의 다양한 함의에 대한 초학제적이고 복합적인 연구와 논의가 절실히 요구된다.

• 가정∙방문간호학회지
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• 제29권1호
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• pp.18-30
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• 2022

Purpose: Purpose: This study aimed to identify whether infection control practice would correlate significantly with the knowledge and attitude of infection control in the pre-, mid-, and postvisiting rounds among community-visiting nurses. Methods: A descriptive study was conducted based on the knowledge, attitude, and practice (KAP) model by administrating questionnaires during September-October 2020. A total of 65 nurses working for 15 community health centers in Seoul, South Korea were included. The questionnaires were developed based on the epidemiologic triangle model and comprised of 28 items on practice, 18 items on knowledge, and 10 items on attitude. Results: The infection control practice showed a mean of 88.9 (range, 0-100). The infection control knowledge had 89.2% on the host domain, 80.0% on the environment domain, and 74.8% on the agent domain (range, 0-100). The infection control attitude showed a mean of 39.5 (range, 0-50). Higher scores on the infection control practice are significantly correlated with the higher scores on the infection control knowledge about the host domain (p= .004) at the pre-, mid-, and post-visiting rounds. Higher scores on the infection control practice are significantly correlated with the higher scores on the infection control attitude at the mid- (p= .018) and postvisiting rounds (p= .028). Conclusions: The infection control practice by community-visiting nurses may be enhanced with increased knowledge and attitude levels of infection control at the mid- and post-visiting rounds. The enhancement should be included in the on-the-job education for community-visiting nurses.

• 한국응용과학기술학회지
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• 제38권6호
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• pp.1466-1475
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• 2021

Compound K (20-O-β-(_D-glucopyranosyl)-20(S)-protopanaxadiol)는 진세노사이드의 활성성분이다. Compound K는 경구 투여 후 Rb₁, Rb₂ 및 Rc가 사람의 장내 미생물의 β-glucosidase에 의해 생물전환 과정을 거쳐 생성된다고 알려져 있다. 본 연구는 생물전환된 인삼농축액에서 얻은 compound K를 이용해 항염증 및 독성을 조사하였다. 세포독성평가 결과, compound K는 0.001~1 ㎍/mL의 농도범위에서 유의적인 세포독성은 나타나지 않았으며, LPS로 염증이 유발된 RAW 264.7 세포에서 TNF-α, MCP-1, IL-6 및 NO의 생성을 억제하는 것으로 확인되었다. 동일 농도범위에서 TNF-α 및 IFN-γ로 염증이 유발된 HaCaT 세포는 compound K의 처리로 인해 IL-8의 생성을 감소시키는 것으로 나타났지만, IL-6의 경우 일부 농도에서 생성을 감소시켰으나, 통계적인 유의성은 나타나지 않았다. Brine shrimp를 이용한 치사율 검정법에서 compound K의 LC₅₀는 0.37mg/mL로 다소의 독성을 함유하고 있는 것으로 나타났으나 compound K가 35% 고함유된 생물전환물은 LC₅₀가 0.87mg/mL로 나타나 상대적으로 낮은 독성을 보였다. 따라서 이 생성물은 향후 여드름 완화용 화장품 개발에 사용할 수 있는 매우 우수한 기능성 소재가 될 수 있을 것으로 기대된다.

• 한국식품영양학회지
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• 제36권2호
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• pp.93-102
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• 2023

Centella asiatica (C. asiatica) has been widely used in food, cosmetics, and pharmaceutical industry as a functional material. In a previous study, we have investigated not only pharmacological effects such as antioxidative and anti-inflammatory effects, but also analyzed various functional ingredients. In this study, triterpenoids were analyzed using HPLC-DAD to determine marker compounds among functional ingredients. When triterpenoids were analyzed, asiaticoside from C. asiatica was determined as an optimal marker compound. Next, specificity, linearity, limited of detection (LOD), limited of quantification (LOQ), precision, accuracy, and range were evaluated using HPLC-DAD to determine asiaticoside contents in C. asiatica juice and extracts. The specificity was elucidated by chromatogram and retention time using an established analytical method. The coefficient of correlation obtained was 0.9996. LOD was 4.99 ㎍/mL and LOQ was 15.12 ㎍/mL. Intra- and inter-day precision of asiaticoside were determined to be 0.48~1.68% and 0.08~1.09%, respectively. Furthermore, the recovery rate of asiaticoside was 98.88% and the analytical range of Field-70E was determined to be 0.625~10 mg/mL. As a results of evaluating ABTS, DPPH, and FRAP antioxidative effect, Field-70E showed potent antioxidant activities. Results of this study could be used as basic data for quality standardization of C. astiatica juice and extracts.

• Korean Journal of Radiology
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• 제22권11호
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• pp.1850-1857
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• 2021

Objective: The purpose of this study was to assess whether a deep learning (DL) algorithm could enable simultaneous noise reduction and edge sharpening in low-dose lumbar spine CT. Materials and Methods: This retrospective study included 52 patients (26 male and 26 female; median age, 60.5 years) who had undergone CT-guided lumbar bone biopsy between October 2015 and April 2020. Initial 100-mAs survey images and 50-mAs intraprocedural images were reconstructed by filtered back projection. Denoising was performed using a vendor-agnostic DL model (ClariCT.AI^TM, ClariPI) for the 50-mAS images, and the 50-mAs, denoised 50-mAs, and 100-mAs CT images were compared. Noise, signal-to-noise ratio (SNR), and edge rise distance (ERD) for image sharpness were measured. The data were summarized as the mean ± standard deviation for these parameters. Two musculoskeletal radiologists assessed the visibility of the normal anatomical structures. Results: Noise was lower in the denoised 50-mAs images (36.38 ± 7.03 Hounsfield unit [HU]) than the 50-mAs (93.33 ± 25.36 HU) and 100-mAs (63.33 ± 16.09 HU) images (p < 0.001). The SNRs for the images in descending order were as follows: denoised 50-mAs (1.46 ± 0.54), 100-mAs (0.99 ± 0.34), and 50-mAs (0.58 ± 0.18) images (p < 0.001). The denoised 50-mAs images had better edge sharpness than the 100-mAs images at the vertebral body (ERD; 0.94 ± 0.2 mm vs. 1.05 ± 0.24 mm, p = 0.036) and the psoas (ERD; 0.42 ± 0.09 mm vs. 0.50 ± 0.12 mm, p = 0.002). The denoised 50-mAs images significantly improved the visualization of the normal anatomical structures (p < 0.001). Conclusion: DL-based reconstruction may enable simultaneous noise reduction and improvement in image quality with the preservation of edge sharpness on low-dose lumbar spine CT. Investigations on further radiation dose reduction and the clinical applicability of this technique are warranted.

• Korean Journal of Radiology
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• 제21권10호
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• pp.1165-1177
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• 2020

Objective: To assess the feasibility of applying a deep learning-based denoising technique to coronary CT angiography (CCTA) along with iterative reconstruction for additional noise reduction. Materials and Methods: We retrospectively enrolled 82 consecutive patients (male:female = 60:22; mean age, 67.0 ± 10.8 years) who had undergone both CCTA and invasive coronary artery angiography from March 2017 to June 2018. All included patients underwent CCTA with iterative reconstruction (ADMIRE level 3, Siemens Healthineers). We developed a deep learning based denoising technique (ClariCT.AI, ClariPI), which was based on a modified U-net type convolutional neural net model designed to predict the possible occurrence of low-dose noise in the originals. Denoised images were obtained by subtracting the predicted noise from the originals. Image noise, CT attenuation, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were objectively calculated. The edge rise distance (ERD) was measured as an indicator of image sharpness. Two blinded readers subjectively graded the image quality using a 5-point scale. Diagnostic performance of the CCTA was evaluated based on the presence or absence of significant stenosis (≥ 50% lumen reduction). Results: Objective image qualities (original vs. denoised: image noise, 67.22 ± 25.74 vs. 52.64 ± 27.40; SNR [left main], 21.91 ± 6.38 vs. 30.35 ± 10.46; CNR [left main], 23.24 ± 6.52 vs. 31.93 ± 10.72; all p < 0.001) and subjective image quality (2.45 ± 0.62 vs. 3.65 ± 0.60, p < 0.001) improved significantly in the denoised images. The average ERDs of the denoised images were significantly smaller than those of originals (0.98 ± 0.08 vs. 0.09 ± 0.08, p < 0.001). With regard to diagnostic accuracy, no significant differences were observed among paired comparisons. Conclusion: Application of the deep learning technique along with iterative reconstruction can enhance the noise reduction performance with a significant improvement in objective and subjective image qualities of CCTA images.

• 청정기술
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• 제30권3호
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• pp.228-238
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• 2024

리튬 이온 전지 전해액은 양극과 음극 사이 리튬 이온의 이동의 매개체로 배터리의 수명과 셀 특성 등을 결정한다. 특히 전해액의 유전율은 염을 해리할 수 있는 용매의 능력으로 전해액 조성을 결정하는 중요한 물성이다. 본 연구에서는 전해액의 유전율을 빠르고 높은 신뢰도로 측정할 수 있는 방법으로 개방 단말 동축선(open-ended coaxial probe, OECP) 시스템을 구축하고 propylene carbonate, dimethyl carbonate 및 이들 혼합물의 복소 유전율을 0.1 ~ 8 GHz의 주파수 영역과 288.15, 298.15, 그리고 308.15 K의 온도에서 측정하였다. 모든 정적 유전율 자료는 기존 문헌과 높은 일치도를 보였으며 Wang-Anderko 열역학 모형으로 1% 내외의 정확도로 상관할 수 있었다. 추가적으로 유전 이완 시간과 이완 함수의 지수 항 등의 이완 파라미터의 분석 결과 전해질 혼합물의 구조는 propylene carbonate의 몰분율이 0.4일 때를 기점으로 크게 변함을 확인할 수 있었다. 이러한 결과들은 본 연구에서 구축한 OECP 시스템이 다양한 전해질의 유전율을 신속하고 높은 신뢰도로 측정할 수 있으며 이들의 미시 구조를 해석할 수 있는 유용한 도구로 활용될 수 있음을 보여준다.