• Journal of Korean Society of Forest Science
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• v.110 no.2
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• pp.210-216
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• 2021

Musculoskeletal disorders affect workers' safety in most industries, and forest operations are classified as a musculoskeletal burden according to the Occupational Safety and Health Act in South Korea. In particular, felling and delimbing operations are mainly conducted by manpower, and then, it is necessary to evaluate ergonomic risk assessment for safety of felling and delimbing workers. Three ergonomic risk assessment methods, such as Ovako Working posture Analysis System (OWAS), Rapid Upper Limb Assessment (RULA), and Rapid Entire Body Assessment (REBA), are available for assessing exposure to risk factors associated with timber harvesting operations. Here, three ergonomic risk assessment methods were applied to examine ergonomic risk assessments in chainsaw felling and delimbing operations. Additionally, exposure to risk factors in each method was analyzed to propose an optimal working posture in felling and delimbing operations. The risk levels of these operations were evaluated to be highest in the RULA method, followed by the OWAS and REBA methods, and most of the exposed working postures were examined with a low-risk level of two and three without requiring any immediate working posture changes. However, two significant working postures, including the bending posture of the waist and leg in felling operation and standing posture on the fallen trees in delimbing operation, were assessed as the high-risk level and needed immediate working posture changes. Low-risk work levels were examined in the squatting posture for felling operation and the straightened posture of the waist and leg for delimbing operation. Moreover, the slope in felling operation and the tree height in delimbing operation significantly affected risk level assessment of working posture. Therefore, our study supports that felling and delimbing workers must operate with low-risk working postures for safety.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.354-360
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• 2022

Metabolic disease is a disease with a prevalence of 26% in Korean, and has three of the five states of abdominal obesity, hypertension, hunger glycemic disorder, high neutral fat, and low HDL cholesterol at the same time. This paper links the consumer panel data of the Rural Development Agency(RDA) and the medical care data of the National Health Insurance Service(NHIS) to generate a classification model that can be divided into a metabolic disease group and a control group through food consumption characteristics, and attempts to compare the differences. Many existing domestic and foreign studies related to metabolic diseases and food consumption characteristics are disease correlation studies of specific food groups and specific ingredients, and this paper is logistic considering all food groups included in the general diet. We created a classification model using regression, a decision tree-based classification model, and a classification model using XGBoost. Of the three models, the high-precision model is the XGBoost classification model, but the accuracy was not high at less than 0.7. As a future study, it is necessary to extend the observation period for food consumption in the patient group to more than 5 years and to study the metabolic disease classification model after converting the food consumed into nutritional characteristics.

• Journal of Korean Medicine Rehabilitation
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• v.32 no.1
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• pp.107-124
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• 2022

Objectives This study aimed to identify optimal combinations of acupoints used to treat chemotherapy-induced peripheral neuropathy (CIPN). Methods We searched four international databases (MEDLINE, EMBASE, the Allied and Complementary Medicine Databases [AMED], and China National Knowledge Infrastructure [CNKI]) and five Korean databases (DBpia, Research Information Sharing Service [RISS], Korean Studies Information Service System [KISS], Oriental Medicine Advanced Searching Integrated System [OASIS], and KoreaMed) to identify randomized controlled trials (RCTs) that used acupuncture to treat CIPN. Network analysis was performed on the acupoints used in more than three included articles. We constructed a network by calculating the Jaccard similarity coefficient between acupoints and applied minimum spanning tree. Then, modularity analysis, degree centrality (Cd), and betweenness centrality (Cb) were used to analyze properties of the acupoints. Results A total of 25 articles were included. 24 acupoints were extracted from 25 articles. The combinations of acupoints having the highest Jaccard similarity coefficient were {EX-UE9, EX-LE10} and {ST36, SP6}. In the modularity analysis, acupoints were classified to six modules. ST40, EX-UE11, and KI6 had the highest Cd value while ST40, GB34 had the highest Cb value. Conclusions This study found the systematic framework of acupoint combinations used in CIPN studies. This study is expected to provide new perspectives of CIPN treatment to therapists. A RCT is in progress of using the network of this study as a guideline. If significant results are derived from the RCT, it will be possible to lay the groundwork to consider acupuncture for CIPN treatment.

• Korean journal of applied entomology
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• v.54 no.2
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• pp.99-109
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• 2015

Insecticidal and antifeeding activities of 29 commercialized eco-friendly organic products for managing plant diseases and insect pests against Plutella xylostella larvae, Spodoptera exigua larvae, Frankliniella occidentalis adults, and Myzus persicae adults were tested using spraying and leaf dipping bioassays under laboratory conditions. Products containing 60% Sophora extract (EOIS) and mixtures (EOISm) with Sophora extract, Stemona japonica extract, Melia azedarach extract, and Nepeta cataria extract as well as mixtures (EOISc) with Sophora extract, Chenopodium ambrosioides extract, and Melia azedarach extract as active ingredients showed strong insecticidal activity at recommended concentration against P. xylostella larvae. At half concentration, their insecticidal activities were decreased under 50%. The EOIS gave good insecticidal activity against S. exigua larvae and also showed 85% and 95% insecticidal activity at 24 and 48 hours after treatment to F. occidentalis adults, respectively. For M. persicae adults, EOISm and mixtures (EOIR) containing rape seed extract, neem extract, and castar oil produced 93% and 68% insecticidal activity, but their activities did not be increased at double concentration. EOISm only showed 100% contact toxicity against M. persicae adults exposed to dipping leaves. Interestingly, the insecticidal activity of EOIR and EOICi (citronella oil and derris extract) against M. persicae adults was increased with exposed time and concentration. In addition, EOICe (cedar oil), EOIS, EOISm, EOISc, EOIM (microorganism), EOIR, EOIPe (plant extract), and EOIT (tea tree extract) gave strong antifeeding activity against S. exigua and P. xylostella larvae. EOIB, EOIBs, EOIM, EOICi, and EOIMc showed above 70% antifeeding activity to the lepidopteran larvae. These results indicate that mixtures containing 2 to 3 plant extracts with Sophora extract show good activities against insect pests, although the difference of insecticidal and antifeeding activities was produced depending on both a tested insect species and an active ingredient or concentration.

• Korean Journal of Environment and Ecology
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• v.34 no.1
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• pp.85-92
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• 2020

The purpose of this study is to provide base information that can be utilized in surveying the status of landscape management within apartment complexes and grasping the conditions of the soil for planting plants, as a way to improve the quality of green spaces by repairing poorly vegetated spaces within apartment complexes and remodeling them with diverse species of plants. Considering that trees and shrubs of equal sizes are simultaneously planted upon the completion of apartment complexes, they were divided based on their completion year at the interval of 5 years and differences in the growth of trees and the components of soil over time were analyzed. Out of the species of trees planted in all the 9 apartment complexes surveyed in this study, the growth of 4 species of needleleaf trees and 4 species of broadleaf trees were surveyed. Juniperus chinensis 'Kaizuka' and Pinus densiflora Siebold & Zucc. out of the needleleaf trees and Malus floribunda Siebold ex Van Houtte out of the broadleaf trees showed the highest growth rate when over 5 years passed after planting and their growth rate decreased when over 10 years passed. Platycladus orientalis and Acer palmatum Thunb. in the apartment complexes that were built over 10 years ago showed the highest growth rate, which indicates that the species require a relatively long period of time for growth. The hardness of the soil at the areas where trees were planted but their soil surface was bare was analyzed. When over 5 years passed after the completion of apartment complexes, over 20 mm of the soil was found to be stamped. The physicochemical properties of soil were also surveyed and the pH level was found to have been continuously high ever since the completion. The organic content in the surveyed soil was about 1/3 of the content in fertile soil, which means that additional fertilization is required. These results indicate that the stamped soil and the health of soil can be restored, when replanting plants in bare areas, by adding plans to improve soil, such as designing drain ways around the planted areas, transporting soil for the 50 cm depth of the ground and mixing organic matters such as chaff, and simply by planting groundcover plants in the lower part of tress and shrubs.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.1-16
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• 2015

Traffic accident is one of the major cause of death worldwide for the last several decades. According to the statistics of world health organization, approximately 1.24 million deaths occurred on the world's roads in 2010. In order to reduce future traffic accident, multipronged approaches have been adopted including traffic regulations, injury-reducing technologies, driving training program and so on. Records on traffic accidents are generated and maintained for this purpose. To make these records meaningful and effective, it is necessary to analyze relationship between traffic accident and related factors including vehicle design, road design, weather, driver behavior etc. Insight derived from these analysis can be used for accident prevention approaches. Traffic accident data mining is an activity to find useful knowledges about such relationship that is not well-known and user may interested in it. Many studies about mining accident data have been reported over the past two decades. Most of studies mainly focused on predict risk of accident using accident related factors. Supervised learning methods like decision tree, logistic regression, k-nearest neighbor, neural network are used for these prediction. However, derived prediction model from these algorithms are too complex to understand for human itself because the main purpose of these algorithms are prediction, not explanation of the data. Some of studies use unsupervised clustering algorithm to dividing the data into several groups, but derived group itself is still not easy to understand for human, so it is necessary to do some additional analytic works. Rule based learning methods are adequate when we want to derive comprehensive form of knowledge about the target domain. It derives a set of if-then rules that represent relationship between the target feature with other features. Rules are fairly easy for human to understand its meaning therefore it can help provide insight and comprehensible results for human. Association rule learning methods and subgroup discovery methods are representing rule based learning methods for descriptive task. These two algorithms have been used in a wide range of area from transaction analysis, accident data analysis, detection of statistically significant patient risk groups, discovering key person in social communities and so on. We use both the association rule learning method and the subgroup discovery method to discover useful patterns from a traffic accident dataset consisting of many features including profile of driver, location of accident, types of accident, information of vehicle, violation of regulation and so on. The association rule learning method, which is one of the unsupervised learning methods, searches for frequent item sets from the data and translates them into rules. In contrast, the subgroup discovery method is a kind of supervised learning method that discovers rules of user specified concepts satisfying certain degree of generality and unusualness. Depending on what aspect of the data we are focusing our attention to, we may combine different multiple relevant features of interest to make a synthetic target feature, and give it to the rule learning algorithms. After a set of rules is derived, some postprocessing steps are taken to make the ruleset more compact and easier to understand by removing some uninteresting or redundant rules. We conducted a set of experiments of mining our traffic accident data in both unsupervised mode and supervised mode for comparison of these rule based learning algorithms. Experiments with the traffic accident data reveals that the association rule learning, in its pure unsupervised mode, can discover some hidden relationship among the features. Under supervised learning setting with combinatorial target feature, however, the subgroup discovery method finds good rules much more easily than the association rule learning method that requires a lot of efforts to tune the parameters.

• Journal of Life Science
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• v.18 no.11
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• pp.1592-1599
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• 2008

The $\beta$-lactamase gene was cloned into E. coli DH5$\alpha$ from Bacillus sp. J105 with strong resistance against $\beta$-lactam antibiotics. The chromosomal DNA was partially digested with Sau3AI and ligated to BamHI digested pLAFR3. $\beta$-Lactamase positive clones were obtained by using in vitro packaging kit. The pKL11-${\Delta}4.6$ with $\beta$-lactamase activity was obtained by subcloning of the recombinant plasmid ($\beta$-lac +). The 6.5 kb fragment in the subcloned plasmid was sequenced. The DNA fragment that contains the $\beta$-lactamase gene encodes 309 amino acids. The 0.17 kb upstream region was similar to those of B. thuringinesis and B. cereus with 97% identity. The deduced amino acids sequence was also similar to those of $\beta$-lactamase from B. thuringinesis and B. cereus with 97% and 94% identity, respectively. The phylogenetic tree also showed the relationships of the $\beta$-lactamase gene of Bacillus sp. J105 to genetically related that of other Bacillus strains. Analysis of expression pattern of the pKL11-${\Delta}4.6$ in E. coli, revealed that the secretion efficiency of $\beta$-lactamase was $4{\sim}5%$ and the molecular weight was as same as that of original $\beta$-lactamase (31 kDa) from Bacillus sp. J105.

• Journal of Forest and Environmental Science
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• v.18 no.1
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• pp.87-96
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• 2001

In order to investigate the influence of increased seed production of Korean white pine(Pinus koraiensis S. et Z.), component of seeds, produced from trees in the thinned stand and the stem-pruned trees in the seed orchard, were analyzed. The results obtained were as follows: 1. General component analysis of seed There is no significant influence of thinning on the seed component in moisture content (thinned- 4.10%, unthinned- 3.74% ), ash (thinned- 2.95%, unthinned- 2.94%), crude lipid (thinned- 67.62%, unthinned- 71.94%), and crude protein (thinned- 17.27%, unthinned- 17.50%). There is no significant influence of stem-pruning on the seed component in moisture content (unpruned- 4.26%, 1m stem-pruned- 4.10%, and 2m stem-pruned- 3.99%), ash (unpruned- 2.08%, 1m stem-pruned- 2.09%, and 2m stem-pruned- 2.15%) crude lipid(unpruned- 68.59%, 1m stem-pruned- 69.52%, and 2m stem-pruned- 72.53%), and crude protein (unpruned- 18.13%, 1m stem-pruned- 17.96%, and 2m stem-pruned- 17.56%) 2. Fatty acid analysis Seeds of tree from thinned and unthinned stands contained two essential fatty acids, i.e., linoleic acid (18:2) (thinned- 54.92%, unthinned- 55.40%) and linolenic acid (18:3) (thinned- 0.19%, and unthinned- 0.23%). Over 94% of fatty acids consisted of linoleic acid (18:2)(55%), oleic acid (18:1) (32%), and palmitic acid (16:0)(7%). T-test showed difference of content at 1% significance level for palmitoleic acid (16:1), stearic acid (18:0) and 8.11, 14-eicosatrienoic acid (20:3) and at 5% for linolenic acid (18:3), but no significant difference for three major fatty acids mentioned above, between two types of trees. Thus thinning may give no influence in fatty acid content. Seeds of three types of trees contained two essential fatty acids, i.e., linoleic acid (18:2)(unpruned- 55.25%, 1m stem-pruned- 54.74%, and 2m stem-pruned- 55.00%), and linolenic acid (18:3)(0.21% for three kinds of trees). Linoleic acid (18:2)(55%), oleic acid (18:1) (32%), and palmitic acid (16:0)(6%) consisted of more than 93% of all fatty acid content. At 5% significance level in F-test, difference was observed in the content of palmitoleic acid (16:1) and 8.11, 14-eicosatrienoic acid (20:3), but not in three major types of fatty acids above mentioned. It is observed that stem-pruning gave no significant influence in fatty acid content in general.

• 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.

• The Korean Journal of Mycology
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• v.38 no.2
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• pp.112-119
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• 2010

Pleurotus spp. have been used for edible and medicinal purposes in Asian countries for a long time. The fruiting bodies of the Pleurotus ostreatus, Pleurotus citrinopileatus and Pleurotus salmoneostramineus contained many physiologically beneficial substances for human health. Therefore, it is necessary to study the genetic diversity of Pleurotus mushroom cultivars commercially cultivated in Korea. Eleven strains of Pleurotus spp. were collected from different geographical regions in South-East Asia and ITS regions of rDNA and RAPD of genomic DNA were analyzed. The size of the ITS1 and ITS2 regions of rDNA from the different strains varied from 167 to 254 bp and 156 to 213 bp, respectively. The sequence of ITS1 was more variable than that of ITS2, and the 5.8S sequences were identical. A phylogenetic tree based on the ITS region sequences indicated that selected strains could be classified into 4 clusters. Eleven Pleurotus species were also analyzed by RAPD with 20 arbitrary primers. Ten of these primers were efficiently amplified the genomic DNA. The number of amplified bands varied with the primers and strains, with polymorphic fragments in the range from 0.1 to 2.0kb. The results revealed that genetic diversity of selected strains of P. ostreatus, P. citrinopileatus and P. salmoneostramineus is low.