• Journal of the Korean Data and Information Science Society
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• 제27권6호
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• pp.1537-1545
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• 2016

세계적으로 유가하락과 더불어 경제가 침체되면서 우리나라도 저성장의 기조를 보이고 있고, 노동 시장에서는 취업난이 가중되고 있으므로 취업영향 요인을 파악하여 적절한 취업 정책을 수립하는 것이 절실한 현실이다. 따라서 본 연구에서는 제17차년도 노동패널자료를 사용하여 취업에 영향을 미치는 요인을 파악하고자 한다. 성인 생애주기는 청년기, 중장년기와 노년기로 구분하였으며 취업에 영향을 미치는 요인으로 인구통계학적 변수, 직업관련 변수 그리고 건강관련 변수를 고려하였다. 의사결정나무분석을 사용하여 분석한 결과 청년기에는 학력이 가장 중요한 요인이었으며, 중장년기에는 가장 중요한 요인이 성별이었고, 남성의 경우 건강상태, 여성의 경우, 직업훈련경험, 연령, 건강상태의 순으로 나타났다. 노년기에도 성별이 가장 중요한 요인이었고 그 다음으로 건강상태, 학력 등의 순으로 나타났다.

• Journal of Korean Biological Nursing Science
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• 제20권2호
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• pp.103-113
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• 2018

Purpose: This study was performed to assess problems associated with sleep (short and long sleep duration) and to identify risky subgroups with sleep problems among adult cancer survivors. The study is based on the Korea National Health and Nutrition Examination Survey (KNHANES VI and VII) from 2013 to 2016. Methods: The sociodemographic and clinical data of 504 Korean cancer survivors aged 20-64 years was extracted from the KNHANES VI and VII database. Descriptive statistics for complex samples was used, and decision-tree analyses were performed using the SPSS WIN 24.0 program. Results: The mean age for survivors was approximately 51 years. The mean sleep duration was 6.97 hours; 36.2% of participants had short (< 7 hours) and 9.9% had long (> 8 hours) sleep duration. From the decision-trees analyses, the characteristics of the adult cancer survivors related to sleep problems were presented with six different pathways. Sleep problems were analyzed according to the survivors' sociodemographic information (age, education, living status, and occupation), clinical characteristics (body mass index, hypercholesterolemia, and anemia) and health-related quality of life (HRQoL). The HRQoL (${\leq}0.5$ or > 0.5 cutoff point) was a significant predictor of the participants' sleep problems because all six pathways were started from this predictor in the model. Conclusion: Health care professionals could use the decision-tree model for screening adult cancer survivors with sleep problems in clinical or community settings. Nursing interventions considering these specific individual characteristics and HRQoL level should be developed to have adequate sleep duration for Korean adult cancer survivors.

• Journal of Forest and Environmental Science
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• 제37권3호
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• pp.169-192
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• 2021

Sacred groves are large areas of virgin or human-modified landscape with a diverse range of species that have been protected by local people for centuries due to cultural, religious beliefs, and taboo that the deities live in them and protect the villagers from various calamities. The present study was carried out for quantitative analysis of diversity, population structure, regeneration and conservation status of tree species in the four 36.86 ha sacred groves of Jhargram district in West Bengal. Tree species composition, population structure and regeneration status were analyzed by randomly establishing of 1 ha subplots within the sacred groves. Density, frequency, basal area, abundance, evenness, and other diversity indices were calculated for adult trees with girth at breast height (GBH) >31 cm. A total of 146 tree species belonging to 116 genera distributed in 44 families from 21 orders were recorded. Pterospermum suberifolium, family Malvaceae showed the highest Species Importance Value Index (SIVI, 21.33) and Fabaceae showed the highest Family Importance Value Index (FIVI, 35.59) values respectively. Individuals are categorised into three groups, seedling, sapling and adult based on girth classes. The majority of tree species exhibited good (52.74%) regeneration followed by fairly (24.66%), poor (15.75%) and no regeneration (6.85%) respectively. With the healthy existence of the sacred grove, the overall population structure of tree species showed a strong regeneration potential. The current data will be useful in determining the current status of tree species and will be used by the forest department, politicians, and conservationists to establish management plans for the conservation of priority species in the region. Since the study areas were sacred groves, tribal members were keen to preserve them due to their religious significance.

• 한국환경농학회지
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• 제38권3호
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• pp.145-153
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• 2019

BACKGROUND: The 'Gamhong' cultivar, middle season apple with big fruit size and high soluble solid content, has been bred in Korea. However, it was hard to cultivate the cultivar in Korea by serious bitter pit. The relationships between shoot growth, fruit size, and bitter pit may be affected by crop load. This study was conducted for 2 years (7~8 years after planting) to investigate vegetative growth, fruit quality, bitter pit incidence, return bloom, and gross income for optimum crop load of 'Gamhong'/M.9 adult apple tree. METHODS AND RESULTS: The crop load was assigned to 4 different object ranges as follow: 45~64, 65~84, 85~104, and 105~124 fruits per tree. The vegetative growth, average fruit weight, percentage of fruits heavier than 375 g, soluble solid content, and return bloom increased significantly at the crop load range of 45~64 fruits. However, the lowest total gross income per tree may have been caused by the highest bitter pit incidence and the lowest yield per tree in any other crop load range. The total gross income and yield per tree increased significantly at the crop load range of 105~124 fruits and return bloom dropped to 40%, and hence it was possible to occur biennial bearing. It was 85~104 fruits that biennial bearing did not occur and total gross income was as high as the crop load range of 105~124 fruits. Also, the yield of high grade fruits per tree, with fruit weight of 400~499 g and none bitter pit on fruit surface, was highest at the crop load range of 85~104 fruits, compared to other crop load range. CONCLUSION: In considering fruit size, bitter pit incidence, return bloom, and gross income, the optimum crop load range of 'Gamhong'/M.9 adult apple tree in high density orchard was 85~104 fruits per tree.

• 성인간호학회지
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• 제17권2호
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• pp.276-286
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• 2005

Purpose: The study is to investigate the effects of tea tree oil gargling on oral cavity micro-organism growth and on the perceived discomfort of patients receiving chemotherapy. Methods: A nonequivalent control group non-synchronized design was used to determine the effects of tea tree oil gargling on oral cavity for 20 second after using it for one week, twice a day. The sample consisted of two groups of patients receiving chemotherapy : 19 patients in experimental and 20 patients in control group. The instruments used in the study were Oral Assessment Guide(OAG), a measure of perceived symptoms on oral cavity, and a test of oral mucosal micro-organism culture. The data were analyzed using chi-square test, repeated measure of ANOVA, and Pearson correlation coefficient. Results: There was no significant difference between the two groups in micro-organism culture test of oral mucosa. The experimental group showed a lower number and fewer kinds of micro-organisms than the control group. Conclusion: It is considered that use of tea tree oil is effective in infection control of the oral cavity.

• 한국응용곤충학회지
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• 제48권2호
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• pp.189-195
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• 2009

충북 청원에서 2006년도부터 2008년까지 북방수염하늘소 성충의 수종(잣나무, 소나무, 낙엽송)에 따른 우화시기와 일중 우화 탈출시간을 조사하였다. 성충은 잣나무와 소나무에서 5월 초순(2${\sim}$10일)에 우화를 시작하였으며, 6월 중순(4${\sim}$20일)에 끝났다. 하지만 낙엽송에서는 5월 중순(13일)에 우화를 시작하여 5월 하순(27일)에 끝나 두 수종에 비하여 우화기간이 짧았다. 우화시기는 수컷과 암컷 간에 차이가 없었다. 2007년에 우화한 성충의 성비는 잣나무에서 0.55, 소나무 0.46, 낙엽송 0.59로 수종간 차이는 없었다. 일중 우화탈출은 24시간 내내 이루어졌고 최대 우화탈출은 12${\sim}$14:00시로 가장 높았고(22.8%), 06${\sim}$08:00시간이 가장 낮았다. 성충은 1년에 1세대 발생 비율이 98.9%이고, 2년 1세대 발생 성충의 비율은 1.1%이었다.

• 한국응용곤충학회지
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• 제50권1호
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• pp.1-6
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• 2011

솔수염하늘소 성충의 이동상황을 해송 유묘가 심겨진 망실 내에서 조사하였다. 실험에 사용한 총 15본의 묘목 중에서 암컷 1마리가 총 실험기간 동안 이동 방문한 묘목 수는 6.4본, 하루 평균 0.2본을 옮겨 다녔으며, 수컷은 총 실험기간 동안 7.2본, 하루 평균 0.3본을 이동하였다. 밤낮의 시간대별로 이동한 횟수를 조사한 결과 암컷은 74.6%가, 수컷은 80.7%가 밤 시간대(17시~08시)에 이동하였다. 성충이 한 기주에 머무는 기간은 최대 7일이었는데, 동일 기주에서 1~2일간 머무는 비율은 암컷의 경우 72.6%, 수컷의 경우 76.0%이었다.

• Journal of Plant Biotechnology
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• 제29권2호
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• pp.117-121
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• 2002

히어리나무 1년생 및 10년생을 재료로 액아배양을 통한 기내번식을 시험하였다. 줄기의 증식은 zeatin과 BA의 공조처리가 효과적이었으며 MS배지에 zeatin 0.5∼3.0 mg/L, 0.2 mg/L BA 처리시 주효하였다. 1년생이 10년생보다 전반적으로 증식 및 생장이 양호하였으며, 배양 6개월 후에는 10년생에서도 매월 절편 당 3개의 줄기유도가 가능하였다. 기내 줄기의 발근은 1년생은 97%, 10년생은 62%를 나타내었고, 토양이식시 1 년생 유래 배양묘는 67%, 10년생은 48%생존되어 모수령에 따른 차이를 나타냈다. 본 실험결과 히어리나무의 액아배양으로 유시, 성숙목의 대량번식이 가능함을 보여주었으나 선발개체의 효율적인 기내번식을 위해서는 재유령화의 기술개발과 토양순화율을 증진시켜야 하는 것으로 나타났다.

• 한국보육지원학회지
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• 제18권5호
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• pp.79-99
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• 2022

Objective: This study was conducted to examine the significant factors affecting media device addiction using the data mining technique for large-scale data from the Panel Study on Korean Children Survey (PSKC). The PSKC data of this study were gathered from the elementary school students in their 10th survey (1,286 3rd grade students). Methods: The SPSS 21.0 program was used for data mining decision tree analysis, and the results are as follows. Results: First, the most important predictor of media device addiction was planning-organization which was among the sub-factors of executive function. Second, as a result of the decision tree analysis, the children with the highest probability of addiction to media devices were ones that had difficulties in planning and organizing, had mothers with a permissive parenting attitude felt difficulties in controlling behavior, and were alone at home for more than two hours a day without any adult supervision. Conclusion/Implications: The results of this study can help guide the direction of future research related to children's addiction to media devices by exploring and analyzing factors that significantly affect children's addiction to media devices.

• 서비스연구
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• 제3권1호
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• pp.87-93
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• 2013

선진국형 질병으로만 알려져 있던 유방암이 우리나라 현대 여성들에게 발병률이 꾸준히 증가하고 있다. 유방암은 보통 50대 이상의 여성에서 발병하는 병으로 알려져 있지만 우리나라의 경우 40대의 서양보다 젊은 여성들에게 발병률이 꾸준히 증가하고 있다. 따라서 우리나라 성인여성을 기준으로 유방암에 대한 정확한 진단을 할 수 있는 매뉴얼을 구축하는 것이 시급한 과제이다. 본 논문에서는 데이터마이닝기법을 이용하여 유방암을 예측하는 방법을 제시한다. 데이터마이닝이란 데이터베이스 내에 숨어 있는 일정한 패턴이나 변수들 간의 관계를 정교한 분석모형을 이용하여 쉽게 드러나지 않은 유용한 정보를 찾아내는 과정을 말한다. 실험을 통하여 Deicion Tree와 Naive Bayes 분석기법을 사용하여 유방암을 진단하는 분석기법을 비교분석을 하였다. Deicison Tree는 C4.5 알고리즘을 적용하여 분석하였고 두 알고리즘이 상당히 좋은 분류 정확도를 나타냈다. 그러나 Naive Bayes 분류방법이 Decision Tree방법보다 더 상회하는 정확도를 보였고 이는 의료데이터의 특성에 많이 기인한다고 볼 수 있다.