• Journal of Applied Biological Chemistry
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• 제64권3호
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• pp.269-275
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• 2021

The in vitro anti-obesity activity of 12 species of tree sprouts in differentiated 3T3-L1 cells and the mechanisms underlying their activity were evaluated. (+)-Catechin and quercetin concentrations in the sprouts were analyzed by HPLC/UV at 270 and 254 nm, respectively. Euonymus alatus (EAT) and Fraxinus mandschuria (FMS) extracts at doses of 50 and 100 ㎍/mL inhibited the accumulation of lipid droplets in differentiated 3T3-L1 cells. Moreover, EAT and FMS downregulated the expression of the CCAAT/enhancer-binding protein-α, adipogenesis-related proteins peroxisome proliferator-activated receptor-γ, and adipocyte P-2α in differentiated 3T3-L1 cells. Tree sprouts with an abundant flavonoid content exerted the highest anti-obesity activity. Concentrations of total flavonoids were the highest in FMS (24.281 mg/g DW) sprouts. These findings could be used to develop health-promoting functional foods or supplements derived from tree sprouts.

• Journal of the Korean Wood Science and Technology
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• 제47권5호
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• pp.633-643
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• 2019

Growth characteristics [stem diameter (D), tree height (H)] and wood properties [Pilodyn penetration (P) and stress-wave velocity (SWV)] were measured for 65 families of 6-year-old Acacia mangium trees planted in Indonesia, in order to characterize their variation in D, H, P, and SWV. Therefore, the correlations between the measured characteristics were also determined, and their significant differences observed. Furthermore, their low to moderate values of narrow-sense heritability was obtained, and the results indicated the characteristics to be genetically controlled in A. mangium. In addition, highly significant positive correlations were observed among the growth characteristics, suggesting a close relationship, while there was no significant association between the growth characteristics and P, as well as SWV, indicating their independent. Therefore, these results demonstrate a potential for the improvement of both growth and wood properties of A. mangium trees, using the appropriate breeding programs. In addition, 18 families showed good performance in D and SWV, signifying their positive prospect of being considered as plus trees for the next generation breeding cycles.

• International Journal of Advanced Culture Technology
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• 제7권1호
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• pp.8-13
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• 2019

Despite technical advances in healthcare, the rates of hospital-acquired pressure injury (HAPI) are still high although many are potentially preventable. The purpose of this study was to determine whether tree-based prediction modeling is suitable for assessing the risk of HAPI in ICU patients. Retrospective cohort study has been carried out. A decision tree model was constructed with Age, Weight, eTube, diabetes, Braden score, Isolation, and Number of comorbid conditions as decision nodes. We used RStudio for model training and testing. Correct prediction rate of the final prediction model was 92.4 and the Area Under the ROC curve (AUC) was 0.699, which means there is about 70% chance that the model is able to distinguish between HAPI and non-HAPI. The results of this study has limited generalizability as the data were from a single academic institution. Our research finding shows that the data-driven tree-based prediction modeling may potentially support ICU sensitive risk assessment for HAPI prevention.

• 한국환경복원기술학회지
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• 제24권1호
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• pp.111-119
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• 2021

This study was conducted to investigate the growth characteristics of artificially planted trees on top of the underground parking lots. The trees were planted 17 years ago and are now in good condition. The survey results are as follows. The planting depth of the trees was 0.9 - 1.3m. The horizontal roots of the trees were distributed in the depth of 0.2m ~ 0.6m, Growth condition was also considered to be good. Also, in the case of the straight root of the trees, the pine tree(Pinus densiflora) grew near the bottom but tree root was very thin, and the Japanese hackberry tree(Celtis sinensis) and the zelkova tree(Zelkova serrata) were seemed to bend at the bottom and to grow by changing direction. When trees were planted on artificial ground, the roots grew well horizontally, and the forces of growing vertically were much weakened. because the plants were planted in earth ball state. As a result, it was considered that the roots would hardly penetrate the bottom-pressing concrete floor.

• International Journal of Advanced Culture Technology
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• 제11권3호
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• pp.310-314
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• 2023

The purpose of this study is to predict the remaining capacity of lithium-ion batteries and evaluate their performance using five artificial intelligence models, including linear regression analysis, decision tree, random forest, neural network, and ensemble model. We is in the study, measured Excel data from the CS2 lithium-ion battery was used, and the prediction accuracy of the model was measured using evaluation indicators such as mean square error, mean absolute error, coefficient of determination, and root mean square error. As a result of this study, the Root Mean Square Error(RMSE) of the linear regression model was 0.045, the decision tree model was 0.038, the random forest model was 0.034, the neural network model was 0.032, and the ensemble model was 0.030. The ensemble model had the best prediction performance, with the neural network model taking second place. The decision tree model and random forest model also performed quite well, and the linear regression model showed poor prediction performance compared to other models. Therefore, through this study, ensemble models and neural network models are most suitable for predicting the remaining capacity of lithium-ion batteries, and decision tree and random forest models also showed good performance. Linear regression models showed relatively poor predictive performance. Therefore, it was concluded that it is appropriate to prioritize ensemble models and neural network models in order to improve the efficiency of battery management and energy systems.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.150-154
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• 2024

In recent years, there are extensive researches on the applications of machine learning to the automation and decision support for medical experts during disease detection. However, the performance of machine learning still needs improvement so that machine learning model produces result that is more accurate and reliable for disease detection. Selecting the hyper-parameter that could produce the possible maximum classification accuracy on medical dataset is the most challenging task in developing decision support systems with machine learning algorithms for medical dataset classification. Moreover, selecting the features that best characterizes a disease is another challenge in developing machine-learning model with better classification accuracy. In this study, we have proposed an optimized decision tree model for heart disease classification by using heart disease dataset collected from kaggle data repository. The proposed model is evaluated and experimental test reveals that the performance of decision tree improves when an optimal number of features are used for training. Overall, the accuracy of the proposed decision tree model is 98.2% for heart disease classification.

• 한국환경복원기술학회지
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• 제21권4호
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• pp.1-10
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• 2018

Use of de-icing salts results in accumulation of high concentrations of ions on roadside soils and tree. The purpose of this study isto determine translocation of seasonal impact of exchangeable cations originating from de-icing salt on roadside surface soil-plant influenced by the intensity of foliar damage (NY = 0-25%, SY = 26-50%, CY = 51-75%) of trees. This paper investigated the concentration of four exchangeable cations ($K^+$, $Ca^{2+}$, $Na^+$, and $Mg^{2+}$) on the roadside surface soil. The tree (Ginko biloba) samples were collected from the Konkuk and Judeok intersections in Chung-ju city. The sequential extraction procedure was applied to 120 soil samples of the soilsurface and 30 tree samples. Four cation exchange ions were determined by ICP-OES. The content of four exchangeable cations present on roadside soil was found to be the lowest in NY but highest in CY from tree pits in the order of NY < SY < CY. Especially, the results were apparent during spring time compared to other seasons. Soil collected from tree pits had the highest concentration of $Ca^{2+}$ possibly due to a higher volume of traffic on those streetsresulting in splashing of more calcium chloride ($CaCl_2$). The analysis of three exchangeable cations ($K^+$, $Mg^{2+}$, and $Na^+$) in the tree leaves revealed higher levels than roadside surface soil when foliar damage ratio increased in the order of NY < SY < CY in summer. In addition, a strong positive linear relationship was observed between the concentration of exchangeable cations in soil and trees. It is hypothesized that the results of this study can be a valuable baseline for managing de-icing salt on roadside soil and trees, in order to mitigate the salt stress that can damage the roadside soil and trees.

• 한국산림과학회지
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• 제105권3호
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• pp.294-302
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• 2016

본 연구는 경상남도 고성군에 식재된 상록활엽수인 27년생 종가시나무 조림지를 대상으로 고밀도(1,933본/ha)와 저밀도(1,200본/ha)구분한 후 총12본(고밀도 임분 6본, 저밀도 임분 6본)의 표본목을 벌채하고 임목부위별 바이오 매스 추정을 위한 상대생장식과 양분(C, N, P, K, Ca, Mg)축적량을 조사하였다. 흉고직경(DBH)을 독립변수로 하는 임분밀도별 줄기 목질부, 줄기 수피, 가지, 잎, 지상부 총량 등의 바이오매스 추정을 위한 상대생장식의 유의성이 인정되었으며(P < 0.05), 상대생장계수(slope)는 유의적인 차이가 없어 일괄상대생장식의 적용이 가능한 것으로 나타났다. 종가시나무 조림지의 지상부 임목 바이오매스는 고밀도 임분이 177 Mg $ha^{-1}$로, 저밀도 임분 114 Mg $ha^{-1}$에 비해 유의적으로 높았다. 그러나 줄기 목질부, 줄기 수피, 가지, 잎 등의 임목부위별 양분 농도의 경우 임분밀도 따른 유의적인 차이는 없었다(P > 0.05). 임목부위별 양분축적량은 줄기 목질부의 질소 및 인축적량을 제외하고 고밀도 임분과 저밀도 임분 사이에 유의적인 차이는 없었다. 본 연구결과에 따르면 종가시나무 조림지의 임목부위별 양분농도의 경우 바이오매스 축적량에 비해 임분밀도의 영향이 크지 않는 것으로 나타났다.

• 한국환경복원기술학회지
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• 제17권4호
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• pp.57-67
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• 2014

The vigor condition of trees is an important indicator for the management of urban forested area. But difficulties in how to assess the tree vigor condition still remain. Previous efforts were limited in the 1) measurement of single indicator rather than using multiple indices, 2) purpose-oriented measurement such as for air-pollution effect or specific pathological symptom, and 3) ordinal-scale evaluations by field crews 4) despite human errors based on his/her experiences or prior knowledge. Therefore, this study attempted to develop a quantitative and objective methodology for assessing tree vigor condition, by measuring multiple modules and building the profile inventory. Furthermore, the possibility and limitations were discussed in terms of schematic frames describing tree vigor condition. The vigor condition of 56 flowering cherry plants in urban park were assessed by in-situ measurements of following eight items; growth of crown(Gc), growth of shoots, individual tree volume(Vol), plant area index, woody area index, leaf area index, leaf chlorophyll content(Lc) and leaf water content(Lw). For validation, these measurements were compared with the ranks of holistic tree vigor condition, which were visually assessed using a 4-point grading scale based on the expert's knowledge. As a result, the measures of each evaluation item successfully highlighted a variety of aspects in tree vigor condition, including the states of both photosynthetic and non-photosynthetic parts. The variation in the results depending on evaluated parts was shown within an individual tree, even though the broad agreement among the results was found. The result of correlation analysis between the tested measurements and 4-point visual assessment, demonstrated that the state of water-stressed foliage of the season (Lw) or the development of plant materials since sapling phase (Vol) could be better viewed from the outer appearance of trees than other symptoms. But only based on the visual assessment, it may be difficult to detect the quality of photosynthesis (Lc) or the recent trend in growth of trees (Gc). To make this methodology simplified for the broad-scale application, the tested eight measurements could be integrated into two components by principal component analysis, which was labelled with 'the amount of plant materials' and 'vigor trend', respectively. In addition, the use of these quantitative and multi-scale indicators underlies the importance of assessing various aspects of tree vigor condition, taking into account the response(s) on different time and spatial scale of pressure(s) shown in each evaluated module. Future study should be advanced for various species at diverse developing stages and environment, and the application to wide areas at a periodic manner.

• Journal of the Korean Wood Science and Technology
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• 제45권1호
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• pp.85-95
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• 2017

본 연구는 연륜연대학적 방법을 이용하여 노거수 수령의 정확한 추정을 위해 수행되었다. 연구지역은 충청북도 괴산군(CBGS), 전라남도 구례군(JNGR), 경상북도 울진군(GBUJ)이며, 수종은 각 지역의 보호수로 지정된 느티나무와 소나무로 하였다. CBGS, JNGR, GBUJ에서 채취한 느티나무는 각각 12, 8, 6본이며, 소나무는 각각 10, 3, 9본이다. 시료(생장편)는 생장추(직경 5.2 mm)를 이용하여 채취하였다. 정확한 연륜측정을 위해 느티나무는 활주식 마이크로톰으로 횡단면을 절삭하였으며, 소나무는 사포를 이용하여 횡단면을 연마하였다. 연륜폭은 이용하여 0.01 mm 정확도로 측정하였다. 느티나무의 경우 CBGS와 GBUJ에서 203 (1813~2015)년의 연륜연대기가 작성되었으며, JNGR에서는 175 (1841~2015)년의 연륜연대기가 성공적으로 작성되었다. 소나무의 경우 CBGS, JNGR, GBUJ에서 각각 154(1862~2015)년, 175 (1841~2015)년, 250 (1776~2015)년의 연륜연대기가 성공적으로 작성되었다. 느티나무와 소나무의 지역별 대표연륜연대기를 상호 비교한 결과 대부분 낮은 t 값과 Glk 값을 보여 대표연륜연대기 상호간 일치도가 낮은 것으로 확인되었다. 최근 50년 평균 기온과 강수량 분포도를 지역별 대표연륜연대기와 비교한 결과, 지역별 대표 연륜연대기 패턴은 온도보다 강수량에 의해 결정되는 것이 확인되었다. 따라서 향후 연륜연대학적 방법을 이용한 정확한 수령추정을 위해선 강수량이 고려된 지역별 대표연륜연대기가 준비되어야 할 것이다.