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Vegetation Structure and Soil Conditions of Viburnum erosum Habitats in the Southern Region of Korea (한국남부지역 덜꿩나무 자생지의 식생구조 및 토양특성)

  • Ha, Hyeon woo;Lim, Hyo In
    • Journal of agriculture & life science
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    • v.51 no.1
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    • pp.57-67
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    • 2017
  • We conducted this study to investigate vegetation structure and soil conditions of six Viburnum erosum Thunb.(V. erosum) populations which showed high dominance. A total of 68 woody plants were observed to distribute: 13 in tree layer; 38 in subtree layer; and 48 in shrub layer. Based on the Mean Importance Value(MIV), the dominant tree species in the V. erosum populations were as follows in order of: Acer pseudosieboldianum(Pax) Kom., Callicarpa japonica Thunb., Indigofera kirilowii Maxim. ex Palib., Lindera obtusiloba Blume, Prunus sargentii Rehder, Quercus variabilis Blume, Rhododendron mucronulatum Turcz. and Vaccinium oldhamii Miq. In paticular, the species observed in all of the study sites were Quercus serrata Murray and Styrax japonicus Siebold & Zucc. It was found that the presence of V. erosum was positively correlated with that of Albizia julibrissin Durazz. and Symplocos chinensis f. pilosa (Nakai) Ohwi, while negatively correlated with that of Platycarya strobilacea Siebold & Zucc. According to the result, means of species diversity(H'), maxim species diversity(H' max), evenness(J') and dominance(1-J') were measured at 0.887, 1.102, 0.803, and 0.196, respectively. The soil conditions properties of pH value, organic matter content, total nitrogen content, and the amount of available phosphorous indices in the study sites were 4.3, 10.6%, 0.34% and $0.68mg{\cdot}kg^{-1}$, respectively. Meanwhile, the total amount of exchangeable cations of $Ca^{2+}$, $K^+$, and $Mg^{2+}$ were $16.84cmol_c{\cdot}kg^{-1}$, $6.41cmol_c{\cdot}kg^{-1}$, and $4.26cmol_c{\cdot}kg^{-1}$, respectively. Overall, Viburnum erosum Thunb. populations tend to grow in the strongly acid soil, which has great abundance of soil organic matters, a lot of exchangeable cations, and has higher amount available phosphorous than that of nitrogen.

Analysis of Literatures Related to Crop Growth and Yield of Onion and Garlic Using Text-mining Approaches for Develop Productivity Prediction Models (양파·마늘 생산성 예측 모델 개발을 위한 텍스트마이닝 기법 활용 생육 및 수량 관련 문헌 분석)

  • Kim, Jin-Hee;Kim, Dae-Jun;Seo, Bo-Hun;Kim, Kwang Soo
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.374-390
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    • 2021
  • Growth and yield of field vegetable crops would be affected by climate conditions, which cause a relatively large fluctuation in crop production and consumer price over years. The yield prediction system for these crops would support decision-making on policies to manage supply and demands. The objectives of this study were to compile literatures related to onion and garlic and to perform data-mining analysis, which would shed lights on the development of crop models for these major field vegetable crops in Korea. The literatures on crop growth and yield were collected from the databases operated by Research Information Sharing Service, National Science & Technology Information Service and SCOPUS. The keywords were chosen to retrieve research outcomes related to crop growth and yield of onion and garlic. These literatures were analyzed using text mining approaches including word cloud and semantic networks. It was found that the number of publications was considerably less for the field vegetable crops compared with rice. Still, specific patterns between previous research outcomes were identified using the text mining methods. For example, climate change and remote sensing were major topics of interest for growth and yield of onion and garlic. The impact of temperature and irrigation on crop growth was also assessed in the previous studies. It was also found that yield of onion and garlic would be affected by both environment and crop management conditions including sowing time, variety, seed treatment method, irrigation interval, fertilization amount and fertilizer composition. For meteorological conditions, temperature, precipitation, solar radiation and humidity were found to be the major factors in the literatures. These indicate that crop models need to take into account both environmental and crop management practices for reliable prediction of crop yield.

The Effect of Active elderly' Participation in Everyday activities on Citizen Participation: The mediating effect of Small Community Cohesion and the moderating effect of Small Community Selfishness (활동적인 노인의 일상적 활동 참여가 시민참여 행동에 미치는 영향: 소공동체 응집성의 매개효과와 소공동체 이기주의의 조절효과)

  • Rie, Juil;Kim, Taewoong;Kim, Pilhyun;Lee, Hansong
    • Korean Journal of Culture and Social Issue
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    • v.26 no.2
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    • pp.47-68
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    • 2020
  • Since the early 2000s, Korea has continued to increase the proportion of the elderly population due to low fertility and increased life expectancy. As a result, Korea has now entered the aging society. Because of this demographic change, proportion of active elderly have increased, and many academics, such as sociology, economics, and psychology, have conducted various studies on the active elderly. This study focused on active elderly based on the activity theory of old age and the positive effect of small community participation activity on the elderly. The purpose of this study is to examine whether active elderly' participation in everyday activities, small community participation of the elderly affect citizen participation actively in society as a citizen, and in the process, mediates the effect of small community cohesion and the moderating effect of small community selfishness. This study performed a stepwise regression analysis and a hierarchical regression analysis of 700 elderly people who are participated actively in various small communities. As a result, the partial mediating effect of small community cohesion was shown in the relationship between participation in everyday activities and citizen participation, and the moderating effect of small community selfishness was also shown. These findings suggest that government and interested parties need to develop and implement policies for the small community participation of elderly citizens in consideration of their small community activities, small community cohesion and small community egoism.

A fundamental study on the automation of tunnel blasting design using a machine learning model (머신러닝을 이용한 터널발파설계 자동화를 위한 기초연구)

  • Kim, Yangkyun;Lee, Je-Kyum;Lee, Sean Seungwon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.24 no.5
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    • pp.431-449
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    • 2022
  • As many tunnels generally have been constructed, various experiences and techniques have been accumulated for tunnel design as well as tunnel construction. Hence, there are not a few cases that, for some usual tunnel design works, it is sufficient to perform the design by only modifying or supplementing previous similar design cases unless a tunnel has a unique structure or in geological conditions. In particular, for a tunnel blast design, it is reasonable to refer to previous similar design cases because the blast design in the stage of design is a preliminary design, considering that it is general to perform additional blast design through test blasts prior to the start of tunnel excavation. Meanwhile, entering the industry 4.0 era, artificial intelligence (AI) of which availability is surging across whole industry sector is broadly utilized to tunnel and blasting. For a drill and blast tunnel, AI is mainly applied for the estimation of blast vibration and rock mass classification, etc. however, there are few cases where it is applied to blast pattern design. Thus, this study attempts to automate tunnel blast design by means of machine learning, a branch of artificial intelligence. For this, the data related to a blast design was collected from 25 tunnel design reports for learning as well as 2 additional reports for the test, and from which 4 design parameters, i.e., rock mass class, road type and cross sectional area of upper section as well as bench section as input data as well as16 design elements, i.e., blast cut type, specific charge, the number of drill holes, and spacing and burden for each blast hole group, etc. as output. Based on this design data, three machine learning models, i.e., XGBoost, ANN, SVM, were tested and XGBoost was chosen as the best model and the results show a generally similar trend to an actual design when assumed design parameters were input. It is not enough yet to perform the whole blast design using the results from this study, however, it is planned that additional studies will be carried out to make it possible to put it to practical use after collecting more sufficient blast design data and supplementing detailed machine learning processes.

Prevalence of Osteoporosis among Male Adults with Apparently Radiolucent Lumbar Vertebral Bodies on the Plain Radiographs (단순 영상에서 요추체의 음영이 감소된 성인 남성에서의 골다공증 유병률)

  • Kim, Kook Jong;Lim, Sung Joon;Kim, Yong Min;Lee, Hyung Ki;Kim, Geon Jung
    • Journal of the Korean Orthopaedic Association
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    • v.56 no.6
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    • pp.491-497
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    • 2021
  • Purpose: To investigate the prevalence of osteoporosis or osteopenia via dual-energy X-ray absorptiometry bone mineral density (DEXA BMD) in adult males who showed radiolucent lumbar vertebra on the plain radiographs. Materials and Methods: The DEXA BMD values of 98 adult males, who showed radiolucent vertebrae on plain X-rays, were compared with those of the control group (n=168) and osteoporosis-related fracture group (n=113) by statistical analysis. The World Health Organization (WHO) method (lower value between the mean lumbar and femur neck) and the Hansen's method (lowest lumbar vertebra) were used to determine osteoporosis. Results: The mean and standard deviation of the BMD value of each group was -1.4 (±1.2) in the suspicious group, -0.8 (±1.1) in the control group, and -2.4 (±1.0) in the fracture group, respectively; the difference was statistically significant. Using the WHO method, the prevalence ratio of osteoporosis was 17.3% in the suspicious group, 8.3% in the control group, and 45.1% in the fracture group, respectively. Osteopenia was observed in 40.8% of the suspicious group. Hansen's method (lowest lumbar vertebra) revealed the prevalence of osteoporosis in 30.6% of the suspicious group, 17.9% of the control group, and 62.0% of the fracture group. Conclusion: Approximately 17.3% of the suspicious group was diagnosed with osteoporosis, and 40.8% were osteopenic by a confirmative BMD study (WHO criteria) among the adult males showing apparent radiolucency on plain X-rays. The control group also showed an 8% prevalence of osteoporosis. These results suggest that males also are vulnerable to osteoporosis. Therefore, a BMD study should also be used for males, especially for the people showing lumbar vertebrae with radiolucent features.

A study on the rock mass classification in boreholes for a tunnel design using machine learning algorithms (머신러닝 기법을 활용한 터널 설계 시 시추공 내 암반분류에 관한 연구)

  • Lee, Je-Kyum;Choi, Won-Hyuk;Kim, Yangkyun;Lee, Sean Seungwon
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.6
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    • pp.469-484
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    • 2021
  • Rock mass classification results have a great influence on construction schedule and budget as well as tunnel stability in tunnel design. A total of 3,526 tunnels have been constructed in Korea and the associated techniques in tunnel design and construction have been continuously developed, however, not many studies have been performed on how to assess rock mass quality and grade more accurately. Thus, numerous cases show big differences in the results according to inspectors' experience and judgement. Hence, this study aims to suggest a more reliable rock mass classification (RMR) model using machine learning algorithms, which is surging in availability, through the analyses based on various rock and rock mass information collected from boring investigations. For this, 11 learning parameters (depth, rock type, RQD, electrical resistivity, UCS, Vp, Vs, Young's modulus, unit weight, Poisson's ratio, RMR) from 13 local tunnel cases were selected, 337 learning data sets as well as 60 test data sets were prepared, and 6 machine learning algorithms (DT, SVM, ANN, PCA & ANN, RF, XGBoost) were tested for various hyperparameters for each algorithm. The results show that the mean absolute errors in RMR value from five algorithms except Decision Tree were less than 8 and a Support Vector Machine model is the best model. The applicability of the model, established through this study, was confirmed and this prediction model can be applied for more reliable rock mass classification when additional various data is continuously cumulated.

Characteristics of a new Hypsizigus marmoreus variety 'Yunseul' with little bitterness and high yield (쓴 맛이 적은 다수성 느티만가닥버섯 신품종 '윤슬')

  • Choi, Jun-Yeong;Shin, Bok-Eum;Baek, Il-Seon;Kim, Yeon-Jin;Kim, Jeong-Han;Choi, Jong-In;Ha, Tai-Moon;Jeong, Gu-Hyun
    • Journal of Mushroom
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    • v.20 no.3
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    • pp.113-118
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    • 2022
  • This study was conducted to diversify the cultivation of mushroom items and develop a competitive variety of Hypsizigus marmoreus. We focused on developing Hypsizigus marmoreus with lower bitterness, likable shape, and high yield. We have collected and tested characteristics of genetic resources from domestic and abroad since 2019. Breeding (2019), characterization (2020), productivity test (2021), and farm demonstration test (2021) have been sequentially conducted. We bred the new variety 'Yunseul' with unique traits. The optimal temperature for mycelial and fruit body growth were 22-25℃ and 15-18℃, respectively. It was similar to the control variety (Mangadak-2Ho) in the pileus form (hemispherical shape) and the cultivation period. However, it was thinner and longer than the control variety with the pileus diameter, thickness, stipe diameter, and length being 19.9 mm, 7.0 mm, 9.4 mm, and 86.3 mm, respectively. The effective number of fruit bodies was 47.8 in bottle cultivation, which was more than that of the control variety. The yield was 197.4 g/bottle (1,100 cc), which was 30% higher than the yield of the control variety, 151.9 g/bottle (1,100 cc). The parent and control varieties were also incubated alongside the new variety. The somatic incompatibility line was distinct. The band pattern in the mycelial DNA PCR reaction was different from that of the parent and control varieties, confirming the hybrid species.

Early Growth Characteristics of Quercus rubra Associated with Soil Physicochemical Properties and Meteorological Factors in Six Regions of South Korea (토양 물리·화학적 성질 및 기상인자에 따른 국내 6개 지역의 루브라참나무 초기 생장 특성)

  • Hwang, Hwan Su;Kim, Tae Lim;Oh, Changyoung;Lim, Hyemin;Lee, Il Hwan
    • Journal of Korean Society of Forest Science
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    • v.111 no.3
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    • pp.357-364
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    • 2022
  • We investigated the early growth characteristics of Quercus rubra planted in six regions (Hwaseong, Yangpyeong, Pyeongchang, Samcheok, Chungju, and Gimje) in South Korea in relation to soil physicochemical properties and meteorological factors. Q. rubra (1-0) were planted at a density of 3,000 trees ha-1. The average height, root collar diameter (RCD), and volume of 8-year-old Q. rubra planted in 2014 were 3.52 m, 3.84 cm, and 0.0023 m3, respectively. The growth parameters of Q. rubra were the highest and lowest in Hwaseong and Pyeongchang, respectively. Correlation analysis among the soil physicochemical properties, meteorological factors, and plantation growth characteristics found that pH was the only soil factor negatively correlated with RCD, and the other soil factors were not significantly correlated with the growth characteristics. However, growth characteristics were positively correlated to average temperature from March to October and daily maximum temperature; and they were negatively correlated to altitude, topology, and the number of rainy days from March to October. In particular, the trees planted in Hwaseong area showed the best early growth characteristics because this area had the highest daily maximum temperature, the x average temperature from March to October, the low altitude, and it is located close to the foot of a mountain. In Pyeongchang, the early growth characteristics were negatively affected by winter cold damage because of the high altitude, low daily minimum temperature, and damage by wild animals. In Hwaseong, meteorological factors such as temperature and altitude were more highly correlated to growth characteristics of Q. rubra than the physicochemical soil properties. These results will provide useful information for determining suitable sites for Q. rubra plantations and for predicting early growth characteristics in response to environmental factors.

A Study on the Effect of Organizational Trust of the Container Terminal Operators' Employee on Organizational Citizenship Behavior -Focusing on the Moderating Effect of Organizational Support- (컨테이너터미널 운영사 구성원의 조직신뢰가 조직시민행동에 미치는 영향 -조직적 후원의 조절효과를 중심으로-)

  • Kim, Ik-Seong;Seon, Hwa;Kim, Hyun-Deok
    • Journal of Korea Port Economic Association
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    • v.39 no.1
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    • pp.65-100
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    • 2023
  • This study examines the effects of organizational trust of the container terminal operators' employee on organizational citizenship behavior and the moderating effect of organizational support in the relationship between the two variables. In order to efficiently achieve the purpose of this study, an empirical analysis was conducted by distributing a literature review and a questionnaire, and the results of the study are as follows... First, the organizational trust of the container terminal operators' employee was found to have a significant positive (+) effect on organizational citizenship behavior, and trust in the company appeared to be more important than trust in the superior, indicating trust in the institutional aspect. This means that formation has more influence on organizational citizenship behavior... Second, it was confirmed that the organizational support of the container terminal operators' employee can lead to active participation in organizational citizenship behavior through the expansion of educational compensatory support. Third, among the organizational support of container terminal operators, emotional support and educational compensatory support were found to have a partial moderating effect on the relationship between organizational trust and organizational citizenship behavior." Emotional support has a moderating effect on caring and active participation behaviors in the relationship between trust in the company and organizational citizenship behaviors, and a moderating effect on caring, active participation, and non-complaining behaviors in the relationship between trust in superiors and organizational citizenship behaviors. It was analyzed that there is Compensatory educational support has a moderating effect on altruistic, caring, active participation, and non-complaining behavior in the relationship between trust in the company and organizational citizenship behavior. It was analyzed that there was a moderating effect on active participation and non-complaining behavior. These analysis results mean that members' trust in the company further increases through the container terminal operator's emotional support and educational reward support. As uncertainty grows, it is very important to increase the trust of organizational members in the organization. sense of belonging to the organization, Emotional support that can increase immersion, improvement of work environment, provision of educational opportunities, and education-compensatory support such as a fair compensation system will increase organizational trust and induce effective organizational citizenship behavior to realize sustainable growth of the organization.

Social Backgrounds and Clan Politics of Kazakhstan Elites: Focusing on Elites from Junior Zhuz (카자흐스탄 엘리트의 사회배경과 씨족 정치: 소주즈(Zhuz) 출신 엘리트를 중심으로)

  • Bang, Ilkwon
    • Journal of International Area Studies (JIAS)
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    • v.14 no.1
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    • pp.77-106
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    • 2010
  • As for the matter of guardianship-benefit network which has been at the heart of the discussion of power elites and clan politics in Kazakhstan, it has been often maintained that it is basically formed by the framework of the regional and descent connection net called Zhuz or at least it has been heavily under Zhuz's influence. But it is pointed out that the controversy of Zhuz suffers from a lot of limitations in explaining the surface of power elites in the recent process of political changes and the rearrangement of power relations. Consequently, this paper tried to take a closer look at the matter focusing on the social backgrounds of elites from Junior zhuz, who have been estimated to be relatively pushed back in terms of the advancement into the central power. As a result, it was found that the backgrounds of clan and tribe origin within Zhuz couldn't have any foundation to be seen as a decisive element through which they could grow into power elites. The phenomenon of Kazakhstani elites is a legacy of concrete historic situations. The important consideration points for analyzing the emergence of elites which could be applied to a nomadic and traditional society can hardly be an invariable framework for analyzing modern elites since independence. Since 2000, Kazakhstan has experienced economic changes including privatization due to the absolute strengthening of presidential influence which turned into a foundation for a new authoritarian system, the rearrangement of the inner circle of power, and their decisions. These changes in situations have had profound effects on the character of power elites. The phenomenon that clandestine connections have shown their appearances as they have gotten intertwined with various factors, in particular, in the economic field which has been heavily under Junior zhuz makes us convinced that the elite organization in Kazakhstan has always been the product of political and economic changes. In reality, the behaviors of elites were the outcome continuously reflecting environmental situations surrounding them, and those situations lie in a complicated and multiple-layered connection net. Therefore, it is believed that having interests in elites' social backgrounds and maintaining many pieces of information on them will be able to be a more useful approach to analyzing the elite society in the future in that interests in their social backgrounds become an informant of various network formation nets which reflect real situations.