This study is to find out how well elementary school gardens work as places of observation learning. We compared the tree species planted in elementary school gardens with those which appeared in the science textbooks of the 7th Korean National Curriculum. The number of tree species are 60 throughout all the grades, specifically; 43 in the third grade, 22 in the fifth grade, 16 in the first grade, 15 in the second grade, 8 in the sixth grade, and 5 in the fourth grade, respectively. Their frequency of appearance (hereafter referred to as 'appearance frequency') throughout all the grades is 175, and the maximum frequency is 62 in the third grade. Of particular note is the fact that the appearance frequency in one grade was very high, meaning that a repeat study will not be conducted. The total number of tree species counted in the study was 13,028 and consisted of 167 species in 52 families. Only 23% of the total planted tree species, that is, 38 tree species appeared in the textbooks, so the ratio of the practical usage of school gardens was revealed to be low. In the school gardens, there are only an average of about 16 tree species per school. The fewest number of species in one school was 9 and the most was 22. The native species were 74 and the non-native species were 93. This means that almost all the planted species do not relate to observation learning in the textbooks. The 22 tree species among 60 species in the textbooks were not planted in the gardens. In conclusion, the degree of utilization of almost all the elementary school gardens examined during this investigation was very low.
Arrhythmia is basically diagnosed with the electrocardiogram (ECG) signal, however, ECG is difficult to measure and it requires expert help in analyzing the signal. On the other hand, the radial pulse can be measured with easy and uncomplicated way in daily life, and could be suitable bio-signal for the recent untact paradigm and extensible signal for diagnosis of Korean medicine based on pulse pattern. In this study, we developed an irregular radial pulse detection algorithm based on a learning model and considered its applicability as arrhythmia screening. A total of 1432 pulse waves including irregular pulse data were used in the experiment. Three data sets were prepared with minimal preprocessing to avoid the heuristic feature extraction. As classification algorithms, elastic net logistic regression, random forest, and extreme gradient boosting were applied to each data set and the irregular pulse detection performances were estimated using area under the receiver operating characteristic curve based on a 10-fold cross-validation. The extreme gradient boosting method showed the superior performance than others and found that the classification accuracy reached 99.7%. The results confirmed that the proposed algorithm could be used for arrhythmia screening. To make a fusion technology integrating western and Korean medicine, arrhythmia subtype classification from the perspective of Korean medicine will be needed for future research.
Ju, Sunghee;Seo, Ji Yeon;Lee, Seung Kwon;Oh, Jisun;Kim, Jong-Sang
Journal of Ginseng Research
/
v.45
no.1
/
pp.108-118
/
2021
Background: Korean ginseng (Panax ginseng Meyer) contains a variety of ginsenosides that can be metabolized to a biologically active substance, compound K. Previous research showed that compound K could be enriched in the red ginseng extract (RGE) after hydrolysis by pectinase. The current study investigated whether the enzymatically hydrolyzed red ginseng extract (HRGE) containing a notable level of compound K has cognitive improving and neuroprotective effects. Methods: A scopolamine-induced hypomnesic mouse model was subjected to behavioral tasks, such as the Y-maze, passive avoidance, and the Morris water maze tests. After sacrificing the mice, the brains were collected, histologically examined (hematoxylin and eosin staining), and the expressions of antioxidant proteins analyzed by western blot. Results: Behavioral assessment indicated that the oral administration of HRGE at a dosage of 300 mg/kg body weight reversed scopolamine-induced learning and memory deficits. Histological examination demonstrated that the hippocampal damage observed in scopolamine-treated mouse brains was reduced by HRGE administration. In addition, HRGE administration increased the expression of nuclear-factor-E2-related factor 2 and its downstream antioxidant enzymes NAD(P)H:quinone oxidoreductase and heme oxygenase-1 in hippocampal tissue homogenates. An in vitro assay using HT22 mouse hippocampal neuronal cells demonstrated that HRGE treatment attenuated glutamate-induced cytotoxicity by decreasing the intracellular levels of reactive oxygen species. Conclusion: These findings suggest that HRGE administration can effectively alleviate hippocampus-mediated cognitive impairment, possibly through cytoprotective mechanisms, preventing oxidative-stress-induced neuronal cell death via the upregulation of phase 2 antioxidant molecules.
In this thesis, we will break away from the classic DDoS response system for large-scale denial-of-service attacks that develop day by day, and effectively endure intelligent denial-of-service attacks by utilizing artificial intelligence-based technology, one of the core technologies of the 4th revolution. A possible service model development plan was proposed. That is, a method to detect denial of service attacks and minimize damage through machine learning artificial intelligence learning targeting a large amount of data collected from multiple security devices and web servers was proposed. In particular, the development of a model for using artificial intelligence technology is to detect a Western service attack by focusing on the fact that when a service denial attack occurs while repeating a certain traffic change and transmitting data in a stable flow, a different pattern of data flow is shown. Artificial intelligence technology was used. When a denial of service attack occurs, a deviation between the probability-based actual traffic and the predicted value occurs, so it is possible to respond by judging as aggressiveness data. In this paper, a service denial attack detection model was explained by analyzing data based on logs generated from security equipment or servers.
In Korea, software education is implemented from elementary school. As a representative software education tool for elementary schools, various chess games reconstructed based on the rules of Western chess games are being used. On the other hand, Yutnori, one of our traditional games, also includes elements of software education, so research on this is needed. Therefore, in this study, a Yutnori program based on computational thinking using an educational programming language, Entry, and a turtle robot was developed and its validity verified. As a result of the validity verification, the CVR value was higher than 0.7 in the degree of agreement with the subject achievement standard (3 questions), the appropriateness of learning materials (4 questions), and the possibility of class application (3 questions). Therefore, it could be judged that the learning program developed in this study has a high level of agreement with the subject achievement standards, appropriate learning materials, and high possibility of being applied to classes. In order to generalize this content in the future, the effectiveness will need to be verified, and experimental research will be needed to understand this.
Engineered cementitious composites with calcined clay limestone cement (LC3-ECC) as a kind of green, low-carbon and high toughness concrete, has recently received significant investigation. However, the complicated relationship between potential influential factors and LC3-ECC compressive strength makes the prediction of LC3-ECC compressive strength difficult. Regarding this, the machine learning-based prediction models for the compressive strength of LC3-ECC concrete is firstly proposed and developed. Models combine three novel meta-heuristic algorithms (golden jackal optimization algorithm, butterfly optimization algorithm and whale optimization algorithm) with support vector regression (SVR) to improve the accuracy of prediction. A new dataset about LC3-ECC compressive strength was integrated based on 156 data from previous studies and used to develop the SVR-based models. Thirteen potential factors affecting the compressive strength of LC3-ECC were comprehensively considered in the model. The results show all hybrid SVR prediction models can reach the Coefficient of determination (R2) above 0.95 for the testing set and 0.97 for the training set. Radar and Taylor plots also show better overall prediction performance of the hybrid SVR models than several traditional machine learning techniques, which confirms the superiority of the three proposed methods. The successful development of this predictive model can provide scientific guidance for LC3-ECC materials and further apply to such low-carbon, sustainable cement-based materials.
The purpose of this study was to delve into parents who turned their children into creative achievers in the East and the West in an attempt to determine the cultural generality and specificity of the rearing of gifted children. The subjects in this study were Western parents, who brought up Marie Curie, Einstein, Edison and Newton, and Eastern parents, who raised Lee Hwang, Lee lee, Jeong Yak-yong and Heo Nanseolheon. To compare their parenting characteristics, common denominators and differences, a variety of data were investigated, including historical records about the parents, biographies, critical biographies, autobiographies and letters. As to the common features of the parenting style of the eight Asian and Western parents, they were talented themselves or capable of educating their children in their talent areas, and provided them with optimal learning environments or chances without pushing them. They accentuated independent spirits and emphasized renovative and open way of thinking. And at least one parent in each family showed absolute support for their child. Regarding differences in parenting style between the East and the West, the Western parents urged their children to develop their talents with more intention, rather the Asian parents prized the well-rounded personality and growth of their children. The former interacted with their children in an horizontal manner, but the latter had a vertical relationship with their children. The former expressed their feelings in an active way, but the latter had their emotion in control. Besides, the Western parents disclosed themselves to their children by showing them even their mistakes or improper behaviors, whereas the Asian parents strived in everyday life to give their children a good example or a good role model.
Hosan Park Moon Ho lived in the truly eventful era with keen competition of western powers, invasion of Japan, Confucianism based Movement against Western Power, Volunteer Army Movement against Japanese and etc. Therefore, his learning and idea could not help being related with such difficult environment of his country. Especially, his idea is directly related with such historical environment of his era in terms of his claims as follow: He thought that Christianity destroyed Korean traditional idea and good customs; he claimed that the nation should subdue the betrayers who were at the Japanese side and be revenged on the murder of the empress Myeongseong; and he advocated his own theory for civilization that the nation should be strictly against the imperial invasion of western powers but work for GaeMulSeongMu(開物成務: Achieving Everything through Enlightenment on Meaning of Everything) and HwaMin SeongSok(化民成俗: Forming Beautiful Customs by Educating the People). The problem that should be urgently solved that time was, first of all, to repel the invasion of Japan and western powers and to realize Confucianism based political ideal by scheming political and social stability and saving the people's livelihood from distress through such repelling.
The purpose of this study was to compare the predictive accuracy of traditional prediction models (methods) and machine learning algorithms in predicting suicidal behaviors. The research aimed to go beyond a systematic review level and scientifically examine the predictive capabilities of these two techniques through meta-analysis, analyzing variables identified through domestic research, particularly at the regional level. In order to achieve this, a total of 124 studies, including 50 studies utilizing machine learning and 74 studies employing traditional methods, were included in the meta-analysis. The results of the study revealed that the integrated area under the curve (AUC) for studies using traditional methods was .770, which was lower than the integrated AUC value of .853 for studies using machine learning. Particularly, studies conducted in Asia (AUC = .944) demonstrated higher accuracy compared to studies in Western countries (AUC = .820) and Korea (AUC = .864). Additional analysis of the moderating effects in domestic research indicated that a higher proportion of males and the prediction of suicide attempts were associated with higher prediction accuracy. On the other hand, prediction accuracy was lower when the prediction target was suicide deaths and when studies utilized neural network analysis. This study synthesized various research findings on the prediction of suicidal behaviors, verified the effectiveness of prediction using machine learning, and holds significance in exploring variables applicable in the context of South Korea.
Koreans who put a high value on confucian ethics traditionally have considered sex problems as taboo. Being faced with western liberal and hedonic culture that comes with waves of industrialization our younger generation who has grown in cultural backgrounds of confucianism has had mental confusion. Due to higher standards of living physical growth has quickened but mental growth has not reached there instead. Because of lureand trouble which come from this problem related with sex this is considered as a social problem. In this research through judgement which the most effective way that can solve adolescence sex problems is systematic sex education teaching method for desirable sex education is presented asfollowing First some supplement and desirable direction of sex education were proposed through the analysis of eight currently using home economics texbooks. A lesson plan was proposed using CAI program which was developed by authors with assistance of professional computer programmers. The CAI program includes following curriculum contents: 1concepts of sex This study ultimately aimed to let students develop desirable attitude and perspective on value regarding adolescence and sex, For this goal of research another lesson plan was proposed fostering classroom group discussion.
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