• 제목/요약/키워드: Tree health

검색결과 495건 처리시간 0.025초

보조적 프로바이오틱스 복용을 통한 치주 병원성 세균 및 전신질환 지표 변화: 증례보고 (Changes in periodontal pathogens and chronic disease indicators through adjunctive probiotic supplementation : a case report)

  • 조무열;황인성;김영연;김혜성
    • 한국치위생학회지
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    • 제24권2호
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    • pp.91-98
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    • 2024
  • Objectives: This case study aimed to evaluate changes in periodontal pathogens and systemic disease indicators following the adjunctive use of probiotics for periodontal treatment. Methods: Two adults, a 64-year-old male and 71-year-old female, were selected with ethical approval and underwent comprehensive oral and systemic health assessments before and after probiotic intake with periodontal debridement. Results: There was a significant reduction in the periodontal pathogens, particularly Porphyromonas gingivalis and Treponema forsythia, and no adverse systemic indicators were observed. Moreover, a trend toward improved lipid profiles was noted, suggesting a potential positive impact on systemic health. Conclusions: This study shows the potential role of probiotics in enhancing oral health and preventing systemic diseases, thus highlighting the need for further research and clinical trials.

나무의사 제도 법제화에 따른 식물병리학회의 역할 (Legalization of Tree Doctor System and the Role of KSPP)

  • 차병진
    • 식물병연구
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    • 제23권3호
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    • pp.207-211
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    • 2017
  • 2016년 12월에 산림보호법 중 일부가 개정되어 이른바 '나무의사법'이 공포되었으며, 이 법은 2018년 6월 28일부터 시행될 예정이다. 새로운 법안에서는 나무의사 자격 소지자에 한하여 나무병원을 개업할 수 있고, 나무병원만이 생활권 공공분야의 수목병해충 관리를 할 수 있도록 규정하고 있으며, 그에 따라 '나무의사'라는 국가공인자격이 신설되었다. 나무의사가 되기 위해서는 지정된 양성과정을 이수하고 시험을 통과하여야 한다. 현재 산림청에서는 이 법의 시행을 위하여 구체적 시행방안을 포함하는 시행령과 시행규칙 등을 만들고 있다. 수목진료 및 건강관리에서 가장 핵심적인 부분이 식물병리학이라는 사실을 감안할 때, 그리고 식물병리학을 공부하는 학생들의 사회진출을 위하여 식물병리학회는 새로운 수목진료체계가 정착될 수 있도록 나무의사 양성기관의 교육과정 개발 및 나무의사 선발시험계획 수립 등에 적극적으로 관여하여야 할 것으로 생각한다.

생육환경에 따른 보호수 이미지 평가 - 예산군 느티나무를 중심으로 - (The study on the Image Evaluation of a Preserved Tree as Growth Environment - Focused on the Zelkova serrata in Yesangun -)

  • 손진관;신지훈;안필균;강방훈
    • 농촌계획
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    • 제17권2호
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    • pp.33-41
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    • 2011
  • To evaluate the value of a preserved tree as rural landscape resource, the growth environment and health condition was investigated, and the image evaluation was implemented on land~ape architectural major undergraduate students for zelkova trees in Yesan-gun. The image evaluation results of zelkova trees were as followings; 1) Typical image of preserved tree examined by Semantic Differential Scale were 'Old', 'Big', and 'Good'. 2) The 'big' image of zelkova tree and the height of tree, the width of tree crown, the breast girth of tree, the root girth of tree, the external formation of tree, and the health of tree bark is mutually related. Especially, the correlation between the 'big' and the external formation and the width of tree crown is high. 3) Typical image of preserved tree examined by Likert Scale were 'Natural', 'Green', 'Peaceful', and 'Rural'. 4) The preservation necessity for preserved tree was highly related with the state of ground, and the management necessity for preserved tree was highly related with contamination level and the state of ground. The appropriate management plan for preserved tree are proposed to improve the quality of rural landscape(basis of these results).

A Comparative Study of Predictive Factors for Hypertension using Logistic Regression Analysis and Decision Tree Analysis

  • SoHyun Kim;SungHyoun Cho
    • Physical Therapy Rehabilitation Science
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    • 제12권2호
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    • pp.80-91
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    • 2023
  • Objective: The purpose of this study is to identify factors that affect the incidence of hypertension using logistic regression and decision tree analysis, and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 9,859 subjects from the Korean health panel annual 2019 data provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In logistic regression analysis, those who were 60 years of age or older (Odds ratio, OR=68.801, p<0.001), those who were divorced/widowhood/separated (OR=1.377, p<0.001), those who graduated from middle school or younger (OR=1, reference), those who did not walk at all (OR=1, reference), those who were obese (OR=5.109, p<0.001), and those who had poor subjective health status (OR=2.163, p<0.001) were more likely to develop hypertension. In the decision tree, those over 60 years of age, overweight or obese, and those who graduated from middle school or younger had the highest probability of developing hypertension at 83.3%. Logistic regression analysis showed a specificity of 85.3% and sensitivity of 47.9%; while decision tree analysis showed a specificity of 81.9% and sensitivity of 52.9%. In classification accuracy, logistic regression and decision tree analysis showed 73.6% and 72.6% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. It is thought that both analysis methods can be used as useful data for constructing a predictive model for hypertension.

다중시기 항공 LiDAR를 활용한 도시림 개체목 수고생장분석 (Analysis of the Individual Tree Growth for Urban Forest using Multi-temporal airborne LiDAR dataset)

  • 김성열;김휘문;송원경;최영은;최재용;문건수
    • 한국환경복원기술학회지
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    • 제22권5호
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    • pp.1-12
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    • 2019
  • It is important to measure the height of trees as an essential element for assessing the forest health in urban areas. Therefore, an automated method that can measure the height of individual tree as a three-dimensional forest information is needed in an extensive and dense forest. Since airborne LiDAR dataset is easy to analyze the tree height(z-coordinate) of forests, studies on individual tree height measurement could be performed as an assessment forest health. Especially in urban forests, that adversely affected by habitat fragmentation and isolation. So this study was analyzed to measure the height of individual trees for assessing the urban forests health, Furthermore to identify environmental factors that affect forest growth. The survey was conducted in the Mt. Bongseo located in Seobuk-gu. Cheonan-si(Middle Chungcheong Province). We segment the individual trees on coniferous by automatic method using the airborne LiDAR dataset of the two periods (year of 2016 and 2017) and to find out individual tree growth. Segmentation of individual trees was performed by using the watershed algorithm and the local maximum, and the tree growth was determined by the difference of the tree height according to the two periods. After we clarify the relationship between the environmental factors affecting the tree growth. The tree growth of Mt. Bongseo was about 20cm for a year, and it was analyzed to be lower than 23.9cm/year of the growth of the dominant species, Pinus rigida. This may have an adverse effect on the growth of isolated urban forests. It also determined different trees growth according to age, diameter and density class in the stock map, effective soil depth and drainage grade in the soil map. There was a statistically significant positive correlation between the distance to the road and the solar radiation as an environmental factor affecting the tree growth. Since there is less correlation, it is necessary to determine other influencing factors affecting tree growth in urban forests besides anthropogenic influences. This study is the first data for the analysis of segmentation and the growth of the individual tree, and it can be used as a scientific data of the urban forest health assessment and management.

생육환경 분석을 통한 천연기념물 노거수의 관리방안 II -서울·인천·경기지역을 중심으로- (Management Guidelines of Natural Monuments Old Trees through an Ananlysis of Growing Environments II -A Focus on Seoul, Incheon and Gyeonggi provinces-)

  • 강현경;이승제
    • 한국환경복원기술학회지
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    • 제7권2호
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    • pp.36-45
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    • 2004
  • This study was conducted to formulate management guidelines for monumental old trees in Korea through analysis of growing environments. A total of 20 old trees designated as natural monuments in Seoul, Incheon, and Gyeonggi provinces were surveyed for biological characteristics, surrounding environments, root collar conditions, tree health, and soil characteristics. Relationships among root collar conditions, tree health, and soil characteristics were analyzed by correlation. The old solitary trees designated as natural monuments included Pinus bungeana(4 trees), Juniperus chinensis(3 trees), Ginkgo biloba(3 trees), Poncirus trifoliata(2 trees), Actinidia arguta, Wisteria floribunda, Thuja orientalis, Quercus variabilis, Sophora japonica, Fraxinus rhynchophylla, Zelkova serrata, and Pinus densiflora. The tree height ranged from 3.56 to 67m, and root collar diameter ranged from 1.01 to 15.2m. The monumental old trees were growing on the various sites ranging from gardens, historical sites, open agricultural fields, mountain hills, to near the ocean beaches and streams. The coverage of bald land ranged from 50 to 100%, and depth of filled soil around the root collar ranged from 0 to 50cm. Tree health was expressed as the amount of branch dieback, cavity development, detachment of cambial tissue, infliction by diseases and insects. The branch dieback ranged from 5 to 20%, cavity development ranged from 10 to 100$cm^3$, detachment of cambial tissue ranged from 5 to 45%, and infliction by diseases and insects ranged from 5 to 20%. Soil pH ranged from 5.9 to 8.3, organic matter contents from 12 to 56%, phosphorus contents from 104 to 618ppm, while soil compaction ranged from 7 to 28mm. Results of correlation analysis showed that coverage of bald land was the most serious factor to deteriorate the cavity development and detachment of cambial tissue. In addition, chemical properties of soils seemed to be related to the health of the trees.

국민의료비 결정요인 및 영향력 분석 (The Determinants of National Health Expenditure: A Decision Tree Analysis)

  • 이견직;정영호
    • 보건행정학회지
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    • 제12권3호
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    • pp.99-111
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    • 2002
  • This paper draws the determinants of National Health Expenditures(min) and collectivizes OECD countries which are positioned by same conditions using the decision tree analysis. Major findings are summarized as follows. We find that the power of influence of income level on NHE has been 58.35% in 1985, 65.37% in 1990, 66.90% in 1995, and 66.47% in 1997. The power of influence of public share in NHE has been on the increase during that period: 19.50% in 1985, 19.91% in 1990, 22.81% in 1995 and 26.88% in 1997. The two factors(income level, public share) tells for the most part of NHE: 77.85% in 1985, 85.28% in 1990, 89.71% in 1995, 93.35% in 1997. Our results support the hypothesis that NHE could be explained mostly by the income level and show that public share is negatively correlated with the growth of NHE.

Decision Tree of Occupational Lung Cancer Using Classification and Regression Analysis

  • Kim, Tae-Woo;Koh, Dong-Hee;Park, Chung-Yill
    • Safety and Health at Work
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    • 제1권2호
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    • pp.140-148
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    • 2010
  • Objectives: Determining the work-relatedness of lung cancer developed through occupational exposures is very difficult. Aims of the present study are to develop a decision tree of occupational lung cancer. Methods: 153 cases of lung cancer surveyed by the Occupational Safety and Health Research Institute (OSHRI) from 1992-2007 were included. The target variable was whether the case was approved as work-related lung cancer, and independent variables were age, sex, pack-years of smoking, histological type, type of industry, latency, working period and exposure material in the workplace. The Classification and Regression Test (CART) model was used in searching for predictors of occupational lung cancer. Results: In the CART model, the best predictor was exposure to known lung carcinogens. The second best predictor was 8.6 years or higher latency and the third best predictor was smoking history of less than 11.25 pack-years. The CART model must be used sparingly in deciding the work-relatedness of lung cancer because it is not absolute. Conclusion: We found that exposure to lung carcinogens, latency and smoking history were predictive factors of approval for occupational lung cancer. Further studies for work-relatedness of occupational disease are needed.

의사결정나무분석을 이용한 성인의 알코올사용장애 위험요인 (Risk factors of alcohol use disorder in Korean adults based on the decision tree analysis)

  • 권미영;김지인
    • 한국학교ㆍ지역보건교육학회지
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    • 제24권1호
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    • pp.47-59
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    • 2023
  • Objectives: The aim of this study was to identify risk factors of alcohol use disorder among Korean adults. Methods: Cross-sectional exploratory study based on data collected from Data from the 6th Korea National Health and Nutrition Examination Survey in 2015 were performed in this study. There were 3,248 participants who were 2,558 normal drinkers while 690 had alcohol use disorder. Decision tree analysis were used to exam socio-demographic and health-related factors to predict alcohol use disorder. Results: As a result of decision tree analysis, the predictive model for factors related to alcohol use disorder in Korean adults presented with 8 pathways. The significant predictors of alcohol use disorder were age, gender, smoking, marital status, and house income. Male smokers whose household income is 'high' or 'low' are most vulnerable to alcohol use disorders. Conclusions: This study indicates that need to consider health behavior and house income when we practice prevention policies and health education of alcohol use disorder.

경상남도 천연기념물 노거수의 생육환경 연구 (Growth Conditions of Natural Monument Old Big Trees in Gyeongsangnamdo, Korea)

  • 김효정
    • 한국환경복원기술학회지
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    • 제14권5호
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    • pp.103-112
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    • 2011
  • Old big tree transcends the simple meaning of trees as they are the natural monuments that embody the people's history and culture of this land. The Cultural Heritage Administration of Korea(CHA) defines and protects old big tree based not only on the size of the tree but also on its definitive cultural and natural factors such as value, implications, and originality. This research aims to identify and analyze the growth conditions, soil conditions and location character of 20 old big tree in Gyeongsangnamdo korea. The research examined the soundness of the arboreal form, the degree of damage on the bark, as well as the quantity of leafs levels to evaluate the overall condition of growth and development. Also, 9 elements such as soil texture, nitrogen and organic matter content, soil pH, phosphoric acid and EC were further analyzed The research analyzed in correlation of Growth condition and soil. Tree health related positivity that total nitrogen and organic matter. The result which analyzes location character, With natural monument old big trees raising a hand the area where is contiguous appeared with the fact that the farming village style where the rice field and the arable land of field etc. This research aimed at generating some foundational reference data for the analysis of the habitation and management conditions of natural monument old big tree within the Gyeongsangnamdo korea.