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A Study on the Qiu Zheng Lu (求正錄) of Zhang J ie Bin (張介賓) (장개빈(張介賓)의 <구정록(求正錄)>에 관한 연구(硏究))

  • Park, Hyuk-Kyu;Maeng, Woong Jea
    • The Journal of Korean Medical History
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    • v.18 no.2
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    • pp.137-187
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    • 2005
  • This thesis study of the medical concept Qiu Zheng Lu (求正錄) is discussed in the Lei Jing Fu Yi (類經附翼), a book authored by Zhang Jie Bin (張介賓) a medical doctor during the Chinese Ming (明) dynasty (1368-1683). The meaning of Qiu Zheng Lu (求正錄) is "searching for the rightness." In his book Zhang Jie Bin (張介賓) intended to clarify Qiu Zheng Lu (求正錄) by delineating the concept into four categories. These are: Sanjiao Baoluo Mingmen Bian (三焦包絡命門 辨) the theory of the triple warmer, the Pericardium, the Gate of Life ; Da Bao Lun (大寶論) the theory of the great treasure of the human body; Zhen Yin Lun (眞陰論) the theory of true-yin fluid; and Shi Er Zang Mai Hou Bu Wei Lun (十二臟脈候部位論) the theory of the part of the pulse and its condition in regards to the twelve viscera. Sanjiao Baoluo Mingmen Bian (三焦包絡命門辨), the theory of the triple warmer, the Pericardium, the Gate of Life. The triple warmer (三焦: Sanjiao) is composed of three parts: the upper, middle, and lower. This concept is also connected with the functions and roles of the vital organs. The upper burner is related to the heart and lungs. The middle burner is related to the liver and spleen. Whereas, the lower burner is related to the kidneys. Bao-Luo (包絡) is the Pericardium, the envelope of the heart, serving as the protector of the heart. Ming-Men (命門) is the Gate of Life, reffering to the vitals of life. It functions as kidney-yang which is considered as the origin of yang-energy of the human body, and serves partly as the function of cortico-adrenal gland in modern medicine. Zhang Jie Bin (張介賓) discussed the Da Bao Lun (大寶論) as the most important function in the human body because the Da Bao (大寶/great treasure) is the true-yang (眞陽) which is the affective force for physiological functions, and as the source of energy for life activities. Moreover, true-yang (眞陽) functions both as a heater and thermometer that warms the human body and indicates vitality by levels of body warmth respectively. The Zhen Yin Lun (眞陰論) theory states that if true-yang (眞陽) is energy, then true-yin (眞陰) is the source of energy. This can be likened to a tree with roots which absorbs nutrients from the ground (source), and spreads the nutrients (energy) through its branches. Thus, true-yin (眞陰) is the root cause for later functional activities of true-yang (眞陽). In Shi Er Zang Mai Hou Bu Wei Lun (十二臟脈候部位論) the theory of the pulse (脈 /Mai) and its condition in regards to the twelve viscera, Zhang Jie Bin (張介賓) insisted that when a diagnoses by the pulse is made the five vital organs and the six viscera (五臟六腑) of a human body should be harmoniously arranged in accordance with its respective part of the pulse. Furthermore, Zhang Jie Bin (張介賓) supported his theory with evidence from earlier Chinese medical doctors. And, by stating that human beings must cultivate and preserve their true-yin (眞陰) and true-yang (眞陽) energies he therefore created four new prescriptions called: Zuoguiyin (左歸飮), Youguiyin (右歸飮), Zuoguiwan (左 歸丸), Youguiwan (右歸丸). To further clarify his theory Zhang Jie Bin (張介賓) considered that the function of true-yang (眞陽) and true-yin (眞陰) is expressed by Ming-Men (命門). This theory is that for humans to be spiritually and physically healthy they must live in accord with natural law. Also, within the framework of natural law, astronomical and geographical factors must be considered for complete, holistic, health. Thus, Ming-Men is the basis for healthy living in the modern world.

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(A Scalable Multipoint-to-Multipoint Routing Protocol in Ad-Hoc Networks) (애드-혹 네트워크에서의 확장성 있는 다중점 대 다중점 라우팅 프로토콜)

  • 강현정;이미정
    • Journal of KIISE:Information Networking
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    • v.30 no.3
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    • pp.329-342
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    • 2003
  • Most of the existing multicast routing protocols for ad-hoc networks do not take into account the efficiency of the protocol for the cases when there are large number of sources in the multicast group, resulting in either large overhead or poor data delivery ratio when the number of sources is large. In this paper, we propose a multicast routing protocol for ad-hoc networks, which particularly considers the scalability of the protocol in terms of the number of sources in the multicast groups. The proposed protocol designates a set of sources as the core sources. Each core source is a root of each tree that reaches all the destinations of the multicast group. The union of these trees constitutes the data delivery mesh, and each of the non-core sources finds the nearest core source in order to delegate its data delivery. For the efficient operation of the proposed protocol, it is important to have an appropriate number of core sources. Having too many of the core sources incurs excessive control and data packet overhead, whereas having too little of them results in a vulnerable and overloaded data delivery mesh. The data delivery mesh is optimally reconfigured through the periodic control message flooding from the core sources, whereas the connectivity of the mesh is maintained by a persistent local mesh recovery mechanism. The simulation results show that the proposed protocol achieves an efficient multicast communication with high data delivery ratio and low communication overhead compared with the other existing multicast routing protocols when there are multiple sources in the multicast group.

Visualizing the Results of Opinion Mining from Social Media Contents: Case Study of a Noodle Company (소셜미디어 콘텐츠의 오피니언 마이닝결과 시각화: N라면 사례 분석 연구)

  • Kim, Yoosin;Kwon, Do Young;Jeong, Seung Ryul
    • Journal of Intelligence and Information Systems
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    • v.20 no.4
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    • pp.89-105
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    • 2014
  • After emergence of Internet, social media with highly interactive Web 2.0 applications has provided very user friendly means for consumers and companies to communicate with each other. Users have routinely published contents involving their opinions and interests in social media such as blogs, forums, chatting rooms, and discussion boards, and the contents are released real-time in the Internet. For that reason, many researchers and marketers regard social media contents as the source of information for business analytics to develop business insights, and many studies have reported results on mining business intelligence from Social media content. In particular, opinion mining and sentiment analysis, as a technique to extract, classify, understand, and assess the opinions implicit in text contents, are frequently applied into social media content analysis because it emphasizes determining sentiment polarity and extracting authors' opinions. A number of frameworks, methods, techniques and tools have been presented by these researchers. However, we have found some weaknesses from their methods which are often technically complicated and are not sufficiently user-friendly for helping business decisions and planning. In this study, we attempted to formulate a more comprehensive and practical approach to conduct opinion mining with visual deliverables. First, we described the entire cycle of practical opinion mining using Social media content from the initial data gathering stage to the final presentation session. Our proposed approach to opinion mining consists of four phases: collecting, qualifying, analyzing, and visualizing. In the first phase, analysts have to choose target social media. Each target media requires different ways for analysts to gain access. There are open-API, searching tools, DB2DB interface, purchasing contents, and so son. Second phase is pre-processing to generate useful materials for meaningful analysis. If we do not remove garbage data, results of social media analysis will not provide meaningful and useful business insights. To clean social media data, natural language processing techniques should be applied. The next step is the opinion mining phase where the cleansed social media content set is to be analyzed. The qualified data set includes not only user-generated contents but also content identification information such as creation date, author name, user id, content id, hit counts, review or reply, favorite, etc. Depending on the purpose of the analysis, researchers or data analysts can select a suitable mining tool. Topic extraction and buzz analysis are usually related to market trends analysis, while sentiment analysis is utilized to conduct reputation analysis. There are also various applications, such as stock prediction, product recommendation, sales forecasting, and so on. The last phase is visualization and presentation of analysis results. The major focus and purpose of this phase are to explain results of analysis and help users to comprehend its meaning. Therefore, to the extent possible, deliverables from this phase should be made simple, clear and easy to understand, rather than complex and flashy. To illustrate our approach, we conducted a case study on a leading Korean instant noodle company. We targeted the leading company, NS Food, with 66.5% of market share; the firm has kept No. 1 position in the Korean "Ramen" business for several decades. We collected a total of 11,869 pieces of contents including blogs, forum contents and news articles. After collecting social media content data, we generated instant noodle business specific language resources for data manipulation and analysis using natural language processing. In addition, we tried to classify contents in more detail categories such as marketing features, environment, reputation, etc. In those phase, we used free ware software programs such as TM, KoNLP, ggplot2 and plyr packages in R project. As the result, we presented several useful visualization outputs like domain specific lexicons, volume and sentiment graphs, topic word cloud, heat maps, valence tree map, and other visualized images to provide vivid, full-colored examples using open library software packages of the R project. Business actors can quickly detect areas by a swift glance that are weak, strong, positive, negative, quiet or loud. Heat map is able to explain movement of sentiment or volume in categories and time matrix which shows density of color on time periods. Valence tree map, one of the most comprehensive and holistic visualization models, should be very helpful for analysts and decision makers to quickly understand the "big picture" business situation with a hierarchical structure since tree-map can present buzz volume and sentiment with a visualized result in a certain period. This case study offers real-world business insights from market sensing which would demonstrate to practical-minded business users how they can use these types of results for timely decision making in response to on-going changes in the market. We believe our approach can provide practical and reliable guide to opinion mining with visualized results that are immediately useful, not just in food industry but in other industries as well.

A Study on the Direction of Planting Renewal in the Green Area of Seoul Children's Grand Park Reflecting Functional Changes (기능변화를 반영한 서울어린이대공원 조성녹지의 식재 리뉴얼 방향성 연구)

  • Park, Jeong-Ah;Han, Bong-Ho;Park, Seok-Cheol
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.3
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    • pp.21-36
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    • 2023
  • As a solution to environmental issues, such as climate change response, the carbon neutrality strategy, urban heat islands, fine dust, and biodiversity enhancement, the value of urban green spaces and trees are becoming important, and various studies dealing with the effects of trees for environmental improvement are being conducted. This study comprehensively considers the preceding studies on planting tree species, planting structure, planting density, and planting base to propose a direction for the planting renewal of green areas in urban parks and applies the findings to a renewal plan to improve the urban environment through landscaping trees. A field survey was conducted on the planting status of Seoul Children's Grand Park, a large-scale neighborhood park in Seoul, and based on the survey data, a planting function evaluation was conducted, and areas needing improvement in planting function were identified. The planting function evaluation was carried out considering the park function setting, planting concept according to spatial function, and planting status. As a result of the study, the direction of planting renewal according to functional change was derived for each stage of planting function evaluation. Increasing the green area ratio is a priority in setting up park functions, but user convenience should also be considered. As a concept of planting, visual landscape planting involves planting species with beautiful tree shapes, high carbon absorption, and fine dust reduction effects. Ecological landscape planting should create a multi-layered planting site on a slope. Buffer planting should be created as multi-layered forests to improve carbon absorption and fine dust reduction effects. Green planting should consist of broad-leaved trees and herbaceous layers and aim for the natural planting of herbaceous species. For plant species, species with high urban environment improvement effects, local native species, and wild bird preferred species should be selected. As for the planting structure, landscape planting sites and green planting sites should be composed of trees, shrubs, and trees and herbaceous layers that emphasize ecology or require multi-layered buffer functions. A higher standard is applied based on the planting interval for planting density. Installing a rainwater recycling facility and using soil loam for the planting base improves performance. The results of this study are meaningful in that they can be applied to derive areas needing functional improvement by performing planting function evaluation when planning planting renewal of aging urban parks and can suggest renewal directions that reflect the paradigm of functional change of created green areas.

Evaluation for Rehabilitation Countermeasures of Coal-mined Spoils and Denuded Lands (폐탄광지(廢炭鑛地)의 산림훼손지복구(山林毁損地復舊) 및 폐석유실방지대책(廢石流失防止對策)에 관한 연구(硏究))

  • Woo, Bo-Myeong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.3 no.2
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    • pp.24-34
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    • 2000
  • The project for rehabilitation and revegetation of the abandoned coal-mine lands is a very important national environmental restoration project in the view point of rehabilitation and revegetation of denuded forest-lands caused by coal mining as well as restoration of disturbed natural environment and control of the variable pollutions. In Korea, because a large number of coal mines had been developed in order to fill up abundantly consumption of coal as a major energy source in the developing period, a lot of denuded forest-lands caused by coal mining had distributed in the whole country. And, due to the absence of effective rehabilitation and revegetation works on the denuded forestlands caused by coal-mining, most of them had been remained with being damaged. In 1990, area of the abandoned coal-mine lands, requiring the rehabilitation and revegetation works, was about 1,437.1 ha. For the past ten years ('90~'99), about 1,081.8 ha out of them had been rehabilitated and revegetated, and the rehabilitation planning area was about 33.0 ha in 2000. So, remaining area out of abandoned coal-mine lands will be about 322.3 ha after 2000. In principle, after abandoning coal-mine, mine owners must carry out the rehabilitation and revegetation works on the abandoned mine lands by themselves. But, most of mine owners were in financial difficulty after abandoning coal-mine, so that principle couldn't have obtained the desired effects. To solve this problem, from 1995, Coal Industry Promotion Board (CIPB) have carried out the rehabilitation and revegetation works on the abandoned coal-mine lands at government budgets, and they have obtained good results in the construction area. However, due to application of the "conventional erosion control measures and techniques" to the rehabilitation and revegetation measures on the abandoned coal-mine lands, the results and effects of the works excuted have not been successful. Therefore, unique measures and techniques for rehabilitation and revegetation of the abandoned coal-mine lands will have to be developed, especially including development of new techniques on the soil-dressing and soil-covering, seed spray and hydro-seeding measures with seed-fertilizer-soil materials as the mechanized measures, and using of new materials for the tree planting and seedling measures.

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Characterization of two β-mannanases from Cellulosimicrobium sp. YB-43 (Cellulosimicrobium sp. YB-43에 의해 생산되는 2종류 β-mannanase의 특성분석)

  • Yoon, Ki-Hong
    • Korean Journal of Microbiology
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    • v.51 no.3
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    • pp.263-270
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    • 2015
  • A bacterial strain producing extracellular mannanases was isolated from soil of chestnut tree farm located in Gongju city of Korea by enrichment culture using Avicel as a carbon source. 16S rDNA sequence of the isolate YB-43 was highly homologous to those of genus Cellulosimicrobium strains with sequence similarities of above 99.6%. Mannanase productivity was significantly increased when the Cellulosimicrobium sp. YB-43 was grown in the presence of locust bean gum (LBG) or konjac. The mannanases were partially purified to be mannanase A (ManA) and mannanase C (ManC) by DEAE-Sepharose column and Q-Sepharose column chromatography from the culture filtrate of Cellulosimicrobium sp. YB-43 grown in LB medium supplemented with 0.7% LBG for 24 h. The partially purified ManA showed the highest activity at $55^{\circ}C$ and pH 6.5, while ManC activity was optimal at $65^{\circ}C$ and pH 7.5. ManA was stable up to $40^{\circ}C$ for 1 h, but ManC activity decreased significantly even after 1 h at $20^{\circ}C$. ManA and ManC showed difference from each other according to their substrate specificities and predominant products resulting from the mannanase hydrolysis for mannooligosaccharides. As a result, Cellulosimicrobium sp. YB-43 was found to produce two different kinds of mannanases.

A Study on the Financial Strength of Households on House Investment Demand (가계 재무건전성이 주택투자수요에 미치는 영향에 관한 연구)

  • Rho, Sang-Youn;Yoon, Bo-Hyun;Choi, Young-Min
    • Journal of Distribution Science
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    • v.12 no.4
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    • pp.31-39
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    • 2014
  • Purpose - This study investigates the following two issues. First, we attempt to find the important determinants of housing investment and to identify their significance rank using survey panel data. Recently, the expansion of global uncertainty in the real estate market has directly and indirectly influenced the Korean housing market; households demonstrate a sensitive reaction to changes in that market. Therefore, this study aims to draw conclusions from understanding how the impact of financial strength of the household is related to house investment. Second, we attempt to verify the effectiveness of diverse indices of financial strength such as DTI, LTV, and PIR as measures to monitor the housing market. In the continuous housing market recession after the global crisis, the government places top priority on residence stability. However, the government still imposes forceful restraints on indices of financial strength. We believe this study verifies the utility of these regulations when used in the housing market. Research design, data, and methodology - The data source for this study is the "National Survey of Tax and Benefit" from 2007 (1st) to 2011 (5th) by the Korea Institute of Public Finance. Based on this survey data, we use panel data of 3,838 households that have been surveyed continuously for 5 years. We sort the base variables according to relevance of house investment criteria using the decision tree model (DTM), which is the standard decision-making model for data-mining techniques. The DTM method is known as a powerful methodology to identify contributory variables for predictive power. In addition, we analyze how important explanatory variables and the financial strength index of households affect housing investment with the binary logistic multi-regressive model. Based on the analyses, we conclude that the financial strength index has a significant role in house investment demand. Results - The results of this research are as follows: 1) The determinants of housing investment are age, consumption expenditures, income, total assets, rent deposit, housing price, habits satisfaction, housing scale, number of household members, and debt related to housing. 2) The impact power of these determinants has changed more or less annually due to economic situations and housing market conditions. The level of consumption expenditure and income are the main determinants before 2009; however, the determinants of housing investment changed to indices of the financial strength of households, i.e., DTI, LTV, and PIR, after 2009. 3) Most of all, since 2009, housing loans has been a more important variable than the level of consumption in making housing market decisions. Conclusions - The results of this research show that sound financing of households has a stronger effect on housing investment than reduced consumption expenditures. At the same time, the key indices that must be monitored by the government under economic emergency conditions differ from those requiring monitoring under normal market conditions; therefore, political indices to encourage and promote the housing market must be divided based on market conditions.

A Study for Comparison of Consequence Analysis for Buried Pipeline Considering the Depth Factor (깊이 인자를 고려한 매설배관의 사고피해영향 비교 분석에 관한 연구)

  • Han, Seung-Hoon;Seol, Ji-Woo;Yoo, Byong-Tae;Tae, Chan-Ho;Ko, Jae Wook
    • Journal of the Korean Institute of Gas
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    • v.20 no.5
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    • pp.9-16
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    • 2016
  • Buried pipe system is subject to leak or rupture due to internal and external defects with age. Especially, if the pipeline is designed for pressurized gas, the leak can wreak a devastating on its surrounding area. The current method of setting up underground gas pipeline is based on OGP criteria of applying one tenth of the inner pipe pressure. The criteria is applied irrespective of their burial depth or pipe's properties. At times, even the whole safety measures are totally ignored. Considering the magnitude of possible damage from a gas leakage, a precise analytical tool for the risk assessment is urgently needed. The study was conducted to assess possible scenarios of gas accidents and to develop a computer model to minimize the damage. The data from ETA was analyzed intensively, and the model was developed. The model is capable of predicting jet fire influence area with comprehensive input parameters, such as burial depth. The model was calibrated and verified by the historic accident data from Edison Township, New Jersey, the United States. The statistical model was also developed to compare the results of the model in this study and the existing OGP model. They were in good agreement with respect to damage predictions, such as radiation heat coming from 10 meters away from the heat source of gas flame.

A Study on Strategy for success of tourism e-marketplace (관광 e-마켓플레이스의 성공전략에 관한 연구)

  • Hong, Ji-Whan;Kim, Keun-Hyung
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.333-336
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    • 2006
  • E-marketplace is a kind of B2B e-Business system that supports business transactions among companies. If e-marketplace is revitalized, we expect not only the development of related industry but also decrease of transaction cost among companies. It is necessary for the introduction and revitalization of e-marketplace in tourist industry from this point of view. Participants of tour e-marketplace are tour-related companies(travel agencies, lodging enterprises, shipping enterprises, etc.). Also tourists want to search a variety of tour products or contents. So tour e-marketplace has characteristics of B2C e-Business systems as well as B2B e-Business systems at once. The purpose of this study is to classify success factors that determine characteristics of tour e-marketplace through statistics survey from e-marketplace factors related tourism websites. First of all, we analyze success factors of B2B and B2C e-marketplace. Then we will set up influence factors of tour e-marketplace and conduct a survey about success factors of tour e-marketplace. Therefore, we could expect to find these good attributes in tour e-marketplace success through logistic regression and decision tree analysis from source data.

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Noise Attenuation by Landscape Woody Plants - Comparisons as a Hedge Species Between Japanese Spindle Tree & Oriental Arbor-vitae - (조경수목(造景樹木)의 소음감쇠효과(騷音減衰効果)에 관(關)한 연구(硏究) - 사철나무와 측백나무 수벽(樹壁)의 비교분석(比較分析) -)

  • Kim, Yong Shik;Chang, Ho Gyeong;Kim, Ye Hyun
    • Journal of Korean Society of Forest Science
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    • v.78 no.1
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    • pp.30-34
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    • 1989
  • Effects on noise attenuation of the hedge species, Thuja orientalis L. and Euonymus japonicus Thunb., widely used as road side hedges, were analysed at the frequencies of 1,000, 2,000 and 3,150 Hz., respectively. The present experiments were carried out both in the field and in a Semianechoic Chamber. As increasing the distances from the noise source, attenuation rates of noise level were increased at high frequencies. But the attenuation rates of the noise level at low frequencies showed varied as the distances increased, and this trend appeared to be caused by the influence of ground waves. Generally, in this experiment, Thuja orientalis L., which is a coniferous species, showed more effective on the abilities of noise attenuation than that of Euonymus japonicus Thunb., which is a broad-leaved evergreen species.

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