• Journal of the Korean Society of School Health
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• v.3 no.1
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• pp.59-72
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• 1990

The study reserches the related contents of the health education in the existing gymnastics and the domestics textbook, catches learning-Ulaching contents by the health-control function and compares the contents with the health-education curriculum of the Texas State in America. This study is questioned and reserched the general features of the teachers who is change in the health education, their attitudes about the teaching of it, and the recognition degree about their health education. The results above is like the following. 1. Learning-teaching contents by the health-control function. The domestics and gymnastics which contains the health education contents, is not discripted continually and at the same time is short of the contents in the health-control function according to the students' individual domains. Also the recent serious problems, (that is, Smoking, Drinking and Medical poisoning, Emotion, and Psychic domains) were no mentioned. 1) In gymnastics textbook, the physical domains are mentioned 8, 9 in juinor, and senior class, the affective, psychic domains only senior class and the social domains only 1 grade except junior and senior class. Growth-development function is concentratedly stated only 1 grade in physical domains and there is no stated in. The social domains are referred a little in senior class. In cure-recovery functions, the physical domains is being taught in 2, and 3 grade, but not 1 grade. Specially, the social domains are being taught in all grade, but, the affective domains are not at all 2) In the subject of domestics, the physical domains of the daily life functions are taught in all the years, but the emotional, mental domains are taught a little in 1 and 2 grades. The growth-development functions are being taught about the nutrition-health, in the physical parts of all graries, and the emotional-mental, social domains are being taught some in 7 and 8 grade except 3 grade, he cure-recovery functions ere taught in only 1 grade, the contents of rehabilitative functions are not being taught like gymnastics. 2. The general characteristics of the health-education teachers and the health-education. In the calss field, the average age of gymnastics-teachers is from 35 to 40 years old, and it of domestics teachers is from 24 to 29 years old. 1) In the class-hours a week, the gymnastics teachers take lessons 3 hours (75.6%) and the domestics teachers 4 hours (65.6%). In "the health-lessons hours alloted"in a semister, 3 or 4 hours is 38.7% and no hours is 18.0% in gymnastics teachers. On the other hand, there is no hours to teach the health-education in domestics teachers. About the opinion: the health subject must be taught as a independent subject, 42.9% of the gymnastics teachers agreed and 45.3 % of the domestics teachers did. 2) The factors which have an influence upon the health-teachers #. In age, the class lesson hours of a week(r= .0014), the confident manner about the lessons(r= .0485) and the necessity of the lessons (r= .0316) are closely related one another. #. In sexes, the lesson hours a class(r= .0000), the alloted hours of health lesson a semister(r= .0000) the confident manner about the class(r= .0001). the quantity of lesson(r= .0001): and, the teacher's belief(r= .0264) are co-related one another. #. In subject in change. the class hours a week(r= .0000), the alloted hours of health-lesson a semister(r= .0000) the quantity of the lesson(r= .0114) are co-related each other. #. In majority, the class lesson hours a week(r= .0000) the alloted hours of health lesson a semister(r= .0000) the quantity of the lesson are co-related each other. The quantity of lesson and the confidence about the lesson (r= .3223) and the quantity of lesson and the interest of lesson (r= .2450) are co-related each other.

• Sleep Medicine and Psychophysiology
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• v.12 no.2
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• pp.122-132
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• 2005

Objectives: The objective of this study is to assess cognitive functions and their relationship with sleep symptoms in young narcoleptic patients. Methods: Eighteen young narcolepsy patients and 18 normal controls (age: 17-35 years old) were recruited. All narcolepsy patients had HLA $DQB_1$ *0602 allele and cataplexy. Several important areas of cognition were assessed by a battery of neuropsychological tests consisting of 13 tests: executive functions (e.g. cognitive set shifting, inhibition, and selective attention) through Wisconsin card sorting test, Trail Making A/B, Stroop test, Ruff test, Digit Symbol, Controlled Oral Word Association and Boston Naming Test; alertness and sustained attention through paced auditory serial addition test; verbal/nonverbal short-term memory and working memory through Digit Span and Spatial Span; visuospatial memory through Rey-Osterrieth complex figure test; verbal learning and memory through California verbal learning test; and fine motor activity through grooved pegboard test. Sleep symptoms in narcolepsy patients were assessed with Epworth sleepiness scale, Ullanlinna narcolepsy scale, multiple sleep latency test, and nocturnal polysomnography. Relationship between cognitive functions and sleep symptoms in narcolepsy patients was also explored. Results: Compared with normal controls, narcolepsy patients showed poor performance in paced auditory serial addition (2.0 s and 2.4 s), digit symbol tests, and spatial span (forward)(t=3.86, p<0.01; t=-2.47, p=0.02; t=-3.95, p<0.01; t=-2.22, p=0.03, respectively). There were no significant between-group differences in other neuropsychological tests. In addition, results of neuropsychological test in narcolepsy patients were not correlated with Epworth sleepiness scale score, Ullanlinna narcolepsy scale score and sleep variables in multiple sleep latency test or nocturnal polysomnography. Conclusion: The current findings suggest that young narcolepsy patients have impaired attention. In addition, impairment of attention in narcolepsy might not be solely due to sleep symptoms such as excessive daytime sleepiness.

• Journal of Gastric Cancer
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• v.8 no.4
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• pp.225-231
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• 2008

Purpose: Laparoscopic gastric resection (LGR) is increasingly being used instead of open gastric resection (OGR) as the standard surgical treatment for gastric submucosal tumors. Yet there are few reports on which technique shows better postoperative outcomes. This study was performed to compare these two treatment modalities for gastric submucosal tumors by evaluating the postoperative outcomes. We also provide an analysis of the learning curve for LGR. Materials and Methods: Between 2003.4 and 2008.8, 103 patients with a gastric submucosal tumor underwent either LGR (N=78) or OGR (n=25). A retrospective review was performed on a prospectively obtained database of 103 patients. We reviewed the data with regard to the operative time, the blood loss during the operation, the time to the first soft diet, the postoperative hospital stay, the tumor size and the tumor location. Results: The clinicopatholgic and tumor characteristics of the patients were similar for both groups. There was no open conversion in the LGR group. The mean operation time and the bleeding loss were not different between the LGR group and the OWR group. The time to first soft diet (3.27 vs. 6.16 days, P<0.001) and the length of the postoperative hospital stay (7.37 vs. 8.88 days, P=0.002) were shorter in the LGR group compared to the OGR group. The tumor size was bigger in the OGR group than that in the LGR group (6.44 vs. 3.65 cm, P<0.001). When performing laparoscopic gastric resection of gastric SMT, the surgeon was able to decrease the operation time and bleeding loss with gaining more experience. We separated the total cases into 3 periods to compare the operation time, the bleeding losses and the complications. The third period showed the shortest operation time, the least bleeding loss and the fewest complications. Conclusion: LGR for treating a gastric submucosal tumor was superior to OGR in terms of the postoperative outcomes. An operator needs some experience to perform a complete laparoscopic gastric resection. Laparoscopic resection could be considered the first-line treatment for gastric submucosal tumors.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.191-206
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• 2022

Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.89-106
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• 2022

Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object's departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will investigate the problem that the IoF algorithm cannot solve to develop an additional complementary algorithm. In addition, we plan to conduct additional research to apply this model to various fields' dataset related to intelligent video analysis.

• Journal of The Korean Association For Science Education
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• v.44 no.2
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• pp.167-178
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• 2024

In this study, we investigated the perceptions of science-related careers and career education among middle school science teachers. Sixty-four science teachers experienced in teaching unit 7 in the first year of middle school participated. The results of the study revealed that not only careers in science but also careers with science were found to be quite high when teachers were asked to provide examples of science-related careers. Jobs related to research/engineering, which are careers in science, comprised the highest proportion of teachers' answers, followed by jobs related to education/law/social welfare/police/firefighting/military, and health/medical, which are careers with science. However, the proportion of jobs mentioned related to installation/maintenance/production was extremely low. The skills required for science-related careers were mainly perceived to consist of tools for working and ways of working. The number of skills classified under living in the world was perceived to be extremely low across most careers, irrespective of career type. Most teachers only taught unit 7 for two to four sessions and devoted little time to science-related career education, even in general science classes. In the free semester system, a significant number of teachers responded that they provide science-related career education for more than 8 hours. Teachers mainly utilize lecture, discussion/debate, and self-study activities. Meanwhile, in the free semester system, the resource-based learning method was utilized at a high proportion compared to other class situations. Teachers generally made much use of media materials, with the use of textbooks and teacher guides found to be lower than expected. There were also cases of using materials supported by science museums or the Ministry of Education. Teachers preferred to implementing student-centered classes and utilizing various teaching and learning methods. Based on the above research results, discussions were proposed to improve teachers' perceptions of science-related careers and career education.

• The Journal of Dong Guk Oriental Medicine
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• v.10
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• pp.1-40
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• 2008

1.The 'Kao Zheng Pai'(考證派) comes from the 'Zhe Zhong Pai(折衷派)' and is a school that is influenced by the confucianism of the Qing dynasty. In Japan Inoue Kinga(井上金峨), Yoshida Koton(古田篁墩 $1745{\sim}1798$) became central members, and the rise of the methodology of historical research(考證學) influenced the members of the 'Zhe Zhong Pai', and the trend of historical research changed from confucianism to medicine, making a school of medicine based on the study of texts and proving that the classics were right. 2. Based on the function of 'Nei Qu Li'(內驅力) the 'Kao Zheng Pai', in the spirit of 'use confucianism as the base', researched letters, meanings and historical origins. Because they were influenced by the methodology of historical research(考證學) of the Qing era, they valued the evidential research of classic texts, and there was even one branch that did only historical research, the 'Rue Xue Kao Zheng Pai'(儒學考證派). Also, the 'Yi Xue Kao Zheng Pai'(醫學考證派) appeared by the influence of Yoshida Kouton and Kariya Ekisai(狩谷掖齋). 3. In the 'Kao Zheng Pai(考證派)'s theories and views the 'Yi Xue Kao Zheng Pai' did not look at medical scriptures like the "Huang Di Nei Jing"("黃帝內經") and did not do research on 'medical' related areas like acupuncture, the meridian and medicinal herbs. Since they were doctors that used medicine, they naturally were based on 'formulas'(方劑) and since their thoughts were based on the historical ideologies, they valued the "Shang Han Ja Bing Lun" which was revered as the 'ancestor of all formulas'(衆方之祖). 4. The lives of the important doctors of the 'Kao Zheng Pai' Meguro Dotaku(目黑道琢) Yamada Seichin(山田正珍), Yamada Kyoko(山田業廣), Mori Ritsi(森立之) Kitamura Naohara(喜多村直寬) are as follows. 1) Meguro Dotaku(目黑道琢 $1739{\sim}1798$) was born of lowly descent but, using his intelligence and knowledge, became a professor as a Shi Jing Yi(市井醫) and as a professor for 34 years at Ji Shou Guan(躋壽館) mastered the "Huang Di Nei Jing" after giving over 300 lectures. Since his pupil, Isawara Ken(伊澤蘭軒) taught the Lan Men Wu Zhe(蘭門五哲) and Shibue Chusai(澀江抽齋), Mori Ritsi(森立之), Okanishi Gentei(岡西玄亭), Kiyokawa Gendoh(淸川玄道) and Yamada Kyoko(山田業廣), Meguro Dotaku is considered the founder of the 'Yi Xue Kao Zheng Pai'. 2) The family of Yamada Seichin(山田正珍 $1749{\sim}1787$) had been medical officials in the Makufu(幕府) and the many books that his ancestors had left were the base of his art. Seichin learned from Shan Ben Bei Shan(山本北山), a 'Zhe Zhong Pai' scholar, and put his efforts into learning, teaching and researching the "Shang Han Lun"("傷寒論"). Living in a time between 'Gu Fang Pai'(古方派) member Nakanishi Goretada(中西惟忠) and 'Kao Zheng Pai' member Taki Motohiro(多紀元簡), he wrote 11 books, 2 of which express his thoughts and research clearly, the "Shang Han Lun Ji Cheng"("傷寒論集成") and "Shang Han Kao"("傷寒考"). His comparison of the 'six meridians'(3 yin, 3 yang) between the "Shang Han Lun" and the "Su Wen Re Lun"("素問 熱論") and his acknowledgement of the need and rationality of the concept of Yin-Yang and Deficient-Replete distinguishes him from the other 'Gu Fang Pai'. Also, his dissertation of the need for the concept doesn't use the theories of latter schools but uses the theory of the "Shang Han Lun" itself. He even researched the historical parts, such as terms like 'Shen Nong Chang Bai Cao'(神農嘗百草) and 'Cheng Qi Tang'(承氣湯). 3) The ancestor of Yamada Kyoko(山田業廣) was a court physician, and learned confucianism from Kao Zheng Pai's Ashikawa Genan(朝川善庵) and medicine from Isawa Ranken(伊澤蘭軒) and Taki Motokata(多紀元堅), and the secret to smallpox from Ikeda Keisui(池田京水). He later became a lecturer at the Edo Yi Xue Guan(醫學館) and was invited as the director to the Ji Zhong(濟衆) hospital. He also became the first owner of the Wen Zhi She(溫知社), whose main purpose was the revival of kampo, and launched the monthly magazine Wen Zi Yi Tan(溫知醫談). He also diagnosed and prescribed for the prince Ming Gong(明宮). His works include the "Jing Fang Bian"("經方辨"), "Shang Han Lun Si Ci"("傷寒論釋詞"), "Huang Zhao Zhu Jia Zhi Yan Ji Yao"("皇朝諸家治驗集要") and "Shang Han Ja Bing Lun Lei Juan"("傷寒雜病論類纂"). of these, the "Jing Fang Bian"("經方辨") states that the Shi Gao(石膏) used in the "Shang Han Lun" had three meanings-Fa Biao(發表), Qing Re(淸熱), Zi Yin(滋陰)-which were from 'symptoms', and first deducted the effects and then told of the reason. Another book, the "Jiu Zhe Tang Du Shu Ji"("九折堂讀書記") researched and translated the difficult parts of the "Shang Han Lun", "Jin Qui Yao Lue"("金匱要略"), "Qian Jin Fang"("千金方"), and "Wai Tai Mi Yao"("外臺秘要"). He usually analyzed the 'symptoms' of diseases but the composition, measurement, processing and application of medicine were all in the spectrum of 'analystic research' and 'researching analysis'. 4) The ancestors of Mori Ritsi(森立之 $1807{\sim}1885$) were warriors but he became a doctor by the will of his mother, and he learned from Shibue Chosai(澁江抽齋) and Isawaran Ken(伊澤蘭軒) and later became a pupil of Shou Gu Yi Zhai(狩谷掖齋), a historical research scholar. He then became a lecturer of medical herbs at the Yi Xue Guan, and later participated in the proofreading of "Yi Xin Fang"("醫心方") and with Chosai compiled the "Jing Ji Fang Gu Zhi"("經籍訪古志"). He visited the Chinese scholar Yang Shou Jing(楊守敬) in 1881 and exchanged books and ideas. Of his works, there are the collections(輯複本) of "Shen Nong Ben Cao Jing"("神農本草經") and "You Xiang Yi Hwa"("遊相醫話") and the records, notes, poems, and diaries such as "Zhi Yuan Man Lu"("枳園漫錄") and "Zhi Yuan Sui Bi"(枳園隨筆) that were not published. His thoughts were that in restoring the "Shen Nong Ben Cao Jing", "the herb to the doctor is like the "Shuo Wen Jie Zi"(說文解字) to the scholar", and he tried to restore the ancient herbal text using knowledge of medicine and investigation(考據), Also with Chosai he compiled the "Jing Ji Fang Gu Zhi"("經籍訪古志") using knowledge of ancient text. Ritzi left works on pure investigation, paid much attention to social problems, and through 12 years of poverty treated all people and animals in all branches of medicine, so he is called a 'half confucianist half doctor'(半儒半醫). 5) Kitamurana Ohira(喜多村直寬, $1804{\sim}1876$) learned scriptures and ancient texts from confucian scholar Asaka Gonsai(安積艮齋), and learned medicine from his father Huai Yaun(槐園), He became a teacher in the Yi Xue Guan in his middle ages, and to repay his country, he printed 266 volumes of "Yi Fang Lei Ju"("醫方類聚") and 1000 volumes of "Tai Ping Yu Lan"("太平禦覽") and devoted it to his country to be spread. His works are about 40 volumes including "Jin Qui Yao Lue Shu Yi"("金匱要略疏義") and "Lao Yi Zhi Yan"(老醫巵言) but most of them are researches on the "Shang Han Za Bing Lun". In his "Shang Han Lun Shu Yi"("傷寒論疏義") he shows the concept of the six meridians through the Yin-Yang, Superficial or internal, cold or hot, deficient or replete state of diseases, but did not match the names with the six meridians of the meridian theory, and this has something in common with the research based on the confucianism of Song(宋儒). In clinical treatment he was positive toward old and new methods and also the experience of civilians, but was negative toward western medicine. 6) The ancestor of the Taki family Tanbano Yasuyori(丹波康賴 $912{\sim}955$) became a Yi Bo Shi(醫博士) by his medical skills and compiled the "Yi Xin Fang"("醫心方"). His first son Tanbano Shigeaki(丹波重明) inherited the Shi Yao Yuan(施藥院) and the third son Tanbano Masatada(丹波雅忠) inherited the Dian You Tou(典藥頭). Masatada's descendents succeeded him for 25 generations until the family name was changed to Jin Bao(金保) and five generations later it was changed again to Duo Ji(多紀). The research scholar Taki Motohiro was in the third generation after the last name was changed to Taki, and his family kept an important part in the line of medical officers in Japan. Taki Motohiro(多紀元簡 $1755{\sim}1810$) was a teacher in the Yi Xue Guan where his father was residing, and became the physician for the general Jia Qi(家齊). He had a short temper and was not good at getting on in the world, and went against the will of the king and was banished from Ao Yi Shi(奧醫師). His most famous works, the "Shang Han Lun Ji Yi"("傷寒論輯義") and "Jin Qui Yao Lue Ji Yi"("金匱要略輯義") are the work of 20 years of collecting the theories of many schools and discussing, and is one of the most famous books on the "Shang Han Lun" in Japan. "Yi Sheng"("醫勝") is a collection of essays on research. Also there are the "Su Wen Shi"(素問識), "Ling Shu Shi"("靈樞識"), and the "Guan Ju Fang Yao Bu"("觀聚方要補"). Taki Motohiro(多紀元簡)'s position was succeeded by his third son Yuan Yin(元胤 $1789{\sim}1827$), and his works include works of research such as "Nan Jing Shu Jeng"(難經疏證), "Ti Ya"("體雅"), "Yao Ya"("藥雅"), "Ji Ya"(疾雅), "Ming Yi Gong An"(名醫公案), and "Yi Ji Kao"(醫籍考). The "Yi Ji Kao" is 80 volumes in length and lists about 3000 books on medicine in China before the Qing Dao Guang(道光), and under each title are the origin, number of volumes, state of existence, and, if possible, the preface, Ba Yu(跋語) and biography of the author. The younger sibling of Yuan Yin(元胤 $1789{\sim}1827$), Yuan Jian(元堅 $1795{\sim}1857$) expounded ancient writings at the Yi Xue Guan only after he reached middle age, was chosen for the Ao Yi Shi(奧醫師) and later became a Fa Yan(法眼), Fa Yin(法印) and Yu Chi(禦匙). He left about 15 texts, including "Su Wen Shao Shi"("素問紹識"), "Yi Xin Fang"("醫心方"), published in school, "Za Bing Guang Yao"("雜病廣要"), "Shang Han Guang Yao"("傷寒廣要"), and "Zhen Fu Yao Jue"("診腹要訣"). On the Taki family's founding and working of the Yi Xue Guan Yasuka Doumei(矢數道明) said they were "the people who took the initiative in Edo era kampo medicine" and evaluated their deeds in the fields of 'research of ancient text', the founding of Ji Shou Guan(躋壽館) and medical education', 'publication business', 'writing of medical text'. 5. The doctors of the 'Kao Zheng Pai' based their operations on the Edo Yi Xue Guan, and made groups with people with similar ideas to them, making a relationship 'net'. For example the three families of Duo Ji(多紀), Tang Chuan(湯川) and Xi Duo Cun(喜多村) married and adopted with and from each other and made prefaces and epitaphs for each other. Thus, the Taki family, the state science of the Makufu, the tendency of thinking, one's own interests and glory, one's own knowledge, the need of the society all played a role in the development of kampo medicine in the 18th and 19th century.

• Molecules and Cells
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• v.38 no.9
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• pp.796-805
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• 2015

Gintonin is a novel ginseng-derived lysophosphatidic acid (LPA) receptor ligand. Oral administration of gintonin ameliorates learning and memory dysfunctions in Alzheimer's disease (AD) animal models. The brain cholinergic system plays a key role in cognitive functions. The brains of AD patients show a reduction in acetylcholine concentration caused by cholinergic system impairments. However, little is known about the role of LPA in the cholinergic system. In this study, we used gintonin to investigate the effect of LPA receptor activation on the cholinergic system in vitro and in vivo using wild-type and AD animal models. Gintonin induced $[Ca^{2+}]_i $ transient in cultured mouse hippocampal neural progenitor cells (NPCs). Gintonin-mediated $[Ca^{2+}]_i $ transients were linked to stimulation of acetylcholine release through LPA receptor activation. Oral administration of gintonin-enriched fraction (25, 50, or 100 mg/kg, 3 weeks) significantly attenuated scopolamine-induced memory impairment. Oral administration of gintonin (25 or 50 mg/kg, 1 2 weeks) also significantly attenuated amyloid-${\beta}$ protein ($A{\beta}$)-induced cholinergic dysfunctions, such as decreased acetylcholine concentration, decreased choline acetyltransferase (ChAT) activity and immunoreactivity, and increased acetylcholine esterase (AChE) activity. In a transgenic AD mouse model, long-term oral administration of gintonin (25 or 50 mg/kg, 3 months) also attenuated AD-related cholinergic impairments. In this study, we showed that activation of G protein-coupled LPA receptors by gintonin is coupled to the regulation of cholinergic functions. Furthermore, this study showed that gintonin could be a novel agent for the restoration of cholinergic system damages due to $A{\beta}$ and could be utilized for AD prevention or therapy.

• The Journal of Korea Assosiation for Disability and Oral Health
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• v.9 no.1
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• pp.46-50
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• 2013

Developmental disorders are a group of psychiatric conditions originating in childhood that involve serious impairments in different areas. These disorders comprise language disorders, learning disorders, motor disorders and autism spectrum disorders. Midazolam is a short-acting drug in the benzodiazepine class developed by Hoffmann-La Roche in the 1970s. The drug is used for treatment of acute seizures, moderate to severe insomnia, and for inducing sedation and amnesia before medical procedures. It possesses profoundly potent anxiolytic, amnestic, hypnotic, anticonvulsant, skeletal muscle relaxant, and sedative properties. The anterograde amnesia property of midazolam is useful for premedication before surgery to inhibit unpleasant memories. This article presents a case report including caries treatment of a 8-year-old male patient with developmental disorders using oral midazolam premedication as an alternative method of behavior management prior to general anesthesia.