• 대한한방부인과학회지
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• 제22권1호
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• pp.53-78
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• 2009

Purpose: In this study, we investigated the anti-thrombotic and antiinflammatory efficacy of "Gamijoukyungtang(GJKT)". Methods: We studied inhibitory effects of platelet aggregation, FXa activation, $TXB_2$ and $PGE_2$ biosynthesis and suppressive effects of GPIIb/IIIa activity and oxidative damage, pro-inflammatory cytokine reduction effects of 'GJKT(by press extractor)/GJKT-1(by pressless extractor)' in vitro. Also, we studied suppression of pulmonary embolism, AV shunt model in rats and shortening of Rat tail bleeding time in vivo. Results: GJKT/GJKT-1 extract showed inhibitory effects on GPIIb/IIIaactivities and platelet aggregation induced by ADP, epinephrine, collagen and arachidonic acid. They suppressed biosynthesis of $PGE_2$ but GJKT-1 only supressed biosynthesis of $TXB_2$. In FXa assay, they inhibited activation of FXa. they suppressed pulmonary embolism triggered by collagen and epinephrine. In AV shunt model, they decreased the weights of AV shunt thrombus. they inhibited pro-inflammatory cytokines and decreased oxidative damages caused by DPPH. Conclusion: We confirmed the anti-thrombosis, and ant-inflammatory efficacy of 'GJKT(by press extractor)/GJKT-1(by pressless extractor)'.

• 한방안이비인후피부과학회지
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• 제14권1호
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• pp.182-189
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• 2001

This study was performed to compare the effect of Ojeoksan which have extracted by varied extractor(press extractor : PE, pressless extractor : PLE, short acting extractor : SE) on model of blood stasis in rats, Except for the normal group, hydrocortisone acetate(HA;25mg/kg in ethanol. IM) to induce experimental blood stasis model for 1 weeks and each extract of Ojeaksan was administrated after 1hr following HA injection for 1week. We measured the hematocrit, the platelet count, the prothrombin time, levels of fibrinogen in rats' blood, The sample Ⅰ(Ojeoksan extracted by PE) group showed significant decrease of hematocrit. prothrombin time and significant increase of the platelet count, levels of fibrinogen in comparison with those of the control group, The sample Ⅱ(Ojeaksan) extracted by PLE) group showed significant decrease of hematocrit and significant increase of levels of fibrinogen in comparison with those of the control group. Administration of the sample Ⅲ(Ojeaksan extracted by SE) group showed significant decrease of hematocrit and significant increase of the platelet count, levels of fibrinogen in comparison with those of the control group.

• 한국식품과학회지
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• 제26권5호
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• pp.552-556
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• 1994

유자쥬스제조시 기초자료로 활용하고자 착즙방법에 따른 유자 착즙액의 특성 및 향기성분을 조사하였다. 부위별 비율은 과육이 39.4%, 과피부분은 43.9%, 종자는 16.7%를 차지하였다. 유자의 중량에 따른 착즙액의 수율은 120g까지 증가하였으나 121g 이상에서는 증가하지 않았다. 원심분리식 착즙방법과 유자를 횡으로 1/2로 절단하여 압착하는 방법을 이용하여 얻어지는 착즙액의 특성중 산도와 투과도는 원심분리식보다 압착식이 높았으며, pH, Brix, 펄프, oil성부상물, 아미노태질소와 수율은 원심분리식이 압착식보다 높았다. 유자착즙액의 유리당은 포도당, 과당, 설탕으로 원심분리식 착즙액이 압착식 착즙액 보다 유리당 함량이 약 2배 높았다. 압착식 착즙액의 경우 총수중기 증류물중 주요향기성분은 dl-limonene, ${\gamma}-terpinene\;{\beta}-farnesene$, sabinene, linalool, ${\beta}-myrcene$, terpinolene이었고, 원심분리식 착즙액의 경우 dl-limonene, ${\gamma}-terpinene$, sabinene ${\beta}-myrcene,\;{\alpha}-pinene$, linalool, terpinolene이었다. 이중 dl-limonene과 ${\gamma}-terpinene$이 전체 향기성분의 $73{\sim}83%$를 차지하였다. dl-limonene은 원심분리식이 인착식보다 약 6% 정도 높았으나, ${\beta}-farnesene$은 원심분리식 착즙액에는 소량 존재하나 압착식 착즙액에는 약 7% 존재하였다. 따라서 착즙방법에 따라 유자의 화학성분 및 주요향기 성분이 차이가 있음을 알 수 있었다.

• Smart Structures and Systems
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• 제29권1호
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• pp.63-75
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• 2022

The raw data collected by structural health monitoring (SHM) systems may suffer multiple patterns of anomalies, which pose a significant barrier for an automatic and accurate structural condition assessment. Therefore, the detection and classification of these anomalies is an essential pre-processing step for SHM systems. However, the heterogeneous data patterns, scarce anomalous samples and severe class imbalance make data anomaly detection difficult. In this regard, this study proposes a convolutional neural network-based data anomaly detection method. The time and frequency domains data are transferred as images and used as the input of the neural network for training. ResNet18 is adopted as the feature extractor to avoid training with massive labelled data. In addition, the focal loss function is adopted to soften the class imbalance-induced classification bias. The effectiveness of the proposed method is validated using acceleration data collected in a long-span cable-stayed bridge. The proposed approach detects and classifies data anomalies with high accuracy.