• 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.

• Proceedings of the KOR-KST Conference
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• 1995.02a
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• pp.101-113
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• 1995

The objective of this research is to test the feasibility of developing a statewide truck traffic forecasting methodology for Wisconsin by using Origin-Destination surveys, traffic counts, classification counts, and other data that are routinely collected by the Wisconsin Department of Transportation (WisDOT). Development of a feasible model will permit estimation of future truck traffic for every major link in the network. This will provide the basis for improved estimation of future pavement deterioration. Pavement damage rises exponentially as axle weight increases, and trucks are responsible for most of the traffic-induced damage to pavement. Consequently, forecasts of truck traffic are critical to pavement management systems. The pavement Management Decision Supporting System (PMDSS) prepared by WisDOT in May 1990 combines pavement inventory and performance data with a knowledge base consisting of rules for evaluation, problem identification and rehabilitation recommendation. Without a r.easonable truck traffic forecasting methodology, PMDSS is not able to project pavement performance trends in order to make assessment and recommendations in the future years. However, none of WisDOT's existing forecasting methodologies has been designed specifically for predicting truck movements on a statewide highway network. For this research, the Origin-Destination survey data avaiiable from WisDOT, including two stateline areas, one county, and five cities, are analyzed and the zone-to'||'&'||'not;zone truck trip tables are developed. The resulting Origin-Destination Trip Length Frequency (00 TLF) distributions by trip type are applied to the Gravity Model (GM) for comparison with comparable TLFs from the GM. The gravity model is calibrated to obtain friction factor curves for the three trip types, Internal-Internal (I-I), Internal-External (I-E), and External-External (E-E). ~oth "macro-scale" calibration and "micro-scale" calibration are performed. The comparison of the statewide GM TLF with the 00 TLF for the macro-scale calibration does not provide suitable results because the available 00 survey data do not represent an unbiased sample of statewide truck trips. For the "micro-scale" calibration, "partial" GM trip tables that correspond to the 00 survey trip tables are extracted from the full statewide GM trip table. These "partial" GM trip tables are then merged and a partial GM TLF is created. The GM friction factor curves are adjusted until the partial GM TLF matches the 00 TLF. Three friction factor curves, one for each trip type, resulting from the micro-scale calibration produce a reasonable GM truck trip model. A key methodological issue for GM. calibration involves the use of multiple friction factor curves versus a single friction factor curve for each trip type in order to estimate truck trips with reasonable accuracy. A single friction factor curve for each of the three trip types was found to reproduce the 00 TLFs from the calibration data base. Given the very limited trip generation data available for this research, additional refinement of the gravity model using multiple mction factor curves for each trip type was not warranted. In the traditional urban transportation planning studies, the zonal trip productions and attractions and region-wide OD TLFs are available. However, for this research, the information available for the development .of the GM model is limited to Ground Counts (GC) and a limited set ofOD TLFs. The GM is calibrated using the limited OD data, but the OD data are not adequate to obtain good estimates of truck trip productions and attractions .. Consequently, zonal productions and attractions are estimated using zonal population as a first approximation. Then, Selected Link based (SELINK) analyses are used to adjust the productions and attractions and possibly recalibrate the GM. The SELINK adjustment process involves identifying the origins and destinations of all truck trips that are assigned to a specified "selected link" as the result of a standard traffic assignment. A link adjustment factor is computed as the ratio of the actual volume for the link (ground count) to the total assigned volume. This link adjustment factor is then applied to all of the origin and destination zones of the trips using that "selected link". Selected link based analyses are conducted by using both 16 selected links and 32 selected links. The result of SELINK analysis by u~ing 32 selected links provides the least %RMSE in the screenline volume analysis. In addition, the stability of the GM truck estimating model is preserved by using 32 selected links with three SELINK adjustments, that is, the GM remains calibrated despite substantial changes in the input productions and attractions. The coverage of zones provided by 32 selected links is satisfactory. Increasing the number of repetitions beyond four is not reasonable because the stability of GM model in reproducing the OD TLF reaches its limits. The total volume of truck traffic captured by 32 selected links is 107% of total trip productions. But more importantly, ~ELINK adjustment factors for all of the zones can be computed. Evaluation of the travel demand model resulting from the SELINK adjustments is conducted by using screenline volume analysis, functional class and route specific volume analysis, area specific volume analysis, production and attraction analysis, and Vehicle Miles of Travel (VMT) analysis. Screenline volume analysis by using four screenlines with 28 check points are used for evaluation of the adequacy of the overall model. The total trucks crossing the screenlines are compared to the ground count totals. L V/GC ratios of 0.958 by using 32 selected links and 1.001 by using 16 selected links are obtained. The %RM:SE for the four screenlines is inversely proportional to the average ground count totals by screenline .. The magnitude of %RM:SE for the four screenlines resulting from the fourth and last GM run by using 32 and 16 selected links is 22% and 31 % respectively. These results are similar to the overall %RMSE achieved for the 32 and 16 selected links themselves of 19% and 33% respectively. This implies that the SELINICanalysis results are reasonable for all sections of the state.Functional class and route specific volume analysis is possible by using the available 154 classification count check points. The truck traffic crossing the Interstate highways (ISH) with 37 check points, the US highways (USH) with 50 check points, and the State highways (STH) with 67 check points is compared to the actual ground count totals. The magnitude of the overall link volume to ground count ratio by route does not provide any specific pattern of over or underestimate. However, the %R11SE for the ISH shows the least value while that for the STH shows the largest value. This pattern is consistent with the screenline analysis and the overall relationship between %RMSE and ground count volume groups. Area specific volume analysis provides another broad statewide measure of the performance of the overall model. The truck traffic in the North area with 26 check points, the West area with 36 check points, the East area with 29 check points, and the South area with 64 check points are compared to the actual ground count totals. The four areas show similar results. No specific patterns in the L V/GC ratio by area are found. In addition, the %RMSE is computed for each of the four areas. The %RMSEs for the North, West, East, and South areas are 92%, 49%, 27%, and 35% respectively, whereas, the average ground counts are 481, 1383, 1532, and 3154 respectively. As for the screenline and volume range analyses, the %RMSE is inversely related to average link volume. 'The SELINK adjustments of productions and attractions resulted in a very substantial reduction in the total in-state zonal productions and attractions. The initial in-state zonal trip generation model can now be revised with a new trip production's trip rate (total adjusted productions/total population) and a new trip attraction's trip rate. Revised zonal production and attraction adjustment factors can then be developed that only reflect the impact of the SELINK adjustments that cause mcreases or , decreases from the revised zonal estimate of productions and attractions. Analysis of the revised production adjustment factors is conducted by plotting the factors on the state map. The east area of the state including the counties of Brown, Outagamie, Shawano, Wmnebago, Fond du Lac, Marathon shows comparatively large values of the revised adjustment factors. Overall, both small and large values of the revised adjustment factors are scattered around Wisconsin. This suggests that more independent variables beyond just 226; population are needed for the development of the heavy truck trip generation model. More independent variables including zonal employment data (office employees and manufacturing employees) by industry type, zonal private trucks 226; owned and zonal income data which are not available currently should be considered. A plot of frequency distribution of the in-state zones as a function of the revised production and attraction adjustment factors shows the overall " adjustment resulting from the SELINK analysis process. Overall, the revised SELINK adjustments show that the productions for many zones are reduced by, a factor of 0.5 to 0.8 while the productions for ~ relatively few zones are increased by factors from 1.1 to 4 with most of the factors in the 3.0 range. No obvious explanation for the frequency distribution could be found. The revised SELINK adjustments overall appear to be reasonable. The heavy truck VMT analysis is conducted by comparing the 1990 heavy truck VMT that is forecasted by the GM truck forecasting model, 2.975 billions, with the WisDOT computed data. This gives an estimate that is 18.3% less than the WisDOT computation of 3.642 billions of VMT. The WisDOT estimates are based on the sampling the link volumes for USH, 8TH, and CTH. This implies potential error in sampling the average link volume. The WisDOT estimate of heavy truck VMT cannot be tabulated by the three trip types, I-I, I-E ('||'&'||'pound;-I), and E-E. In contrast, the GM forecasting model shows that the proportion ofE-E VMT out of total VMT is 21.24%. In addition, tabulation of heavy truck VMT by route functional class shows that the proportion of truck traffic traversing the freeways and expressways is 76.5%. Only 14.1% of total freeway truck traffic is I-I trips, while 80% of total collector truck traffic is I-I trips. This implies that freeways are traversed mainly by I-E and E-E truck traffic while collectors are used mainly by I-I truck traffic. Other tabulations such as average heavy truck speed by trip type, average travel distance by trip type and the VMT distribution by trip type, route functional class and travel speed are useful information for highway planners to understand the characteristics of statewide heavy truck trip patternS. Heavy truck volumes for the target year 2010 are forecasted by using the GM truck forecasting model. Four scenarios are used. Fo~ better forecasting, ground count- based segment adjustment factors are developed and applied. ISH 90 '||'&'||' 94 and USH 41 are used as example routes. The forecasting results by using the ground count-based segment adjustment factors are satisfactory for long range planning purposes, but additional ground counts would be useful for USH 41. Sensitivity analysis provides estimates of the impacts of the alternative growth rates including information about changes in the trip types using key routes. The network'||'&'||'not;based GMcan easily model scenarios with different rates of growth in rural versus . . urban areas, small versus large cities, and in-state zones versus external stations. cities, and in-state zones versus external stations.