• Cross-Cultural Studies
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• v.31
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• pp.217-240
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• 2013

The Chinese Bronze Epigraphy is based on the study of the Ancient Bronze, which is excavated from the ground and it is also related to Archeology and Historical Science as well. From the Han dynasty, to the Song dynasty and to the Qing dynasty. Chinese Graphonomy had a splendid development. Including ShuoWenJieZi in the Chinese Graphonomy and the study of Bronze got a shining improvement. ShuoWenJieZi as a key for deciphering ancient Chinese characters. With constant reference to the ShuoWenJieZi, Qing scholars pioneered the earliest large scale interpretations of bronze inscriptions. Several Qing Dynasty ShuoWen scholars such as a WangYun and DuanYuCai have made research in the Bronze Epigraphy. Through this research, we can figure out whether there is any relevance between the traditional study of Epigraphy and the Qing dynasty's.

• Journal of Haehwa Medicine
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• v.13 no.2
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• pp.231-249
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• 2004

This study analyzed the contents of the research papers concerning the common cold recorded in Chinese medical journal published over the period between 2000 and 2004. As a result, the following conclusion was drawn. 1. Among the clinical research papers, There are a lot of treatment papers of traditional chinese medicine in the method of treatment. There are a lot of papers about Feng-Re-Xing(風熱型) and Xu-Zheng-Xing(虛證型) in the Bian-Zheng-Lei-Xing(辨證類型) 2. "Zhong-Yi-Xu-Zheng-Bian-Zheng-Can-Kao-Biao-Zhun" ("中醫虛證辨證參考標準"), "Zhong-Yi-Nei-Ke-Wu-Ban-Jiao-Cai"("中醫內科五版敎材"), "Zhong-Hua-Ren-Min-Gong-He-Guo-Zhong-Yi-Yao-Hang-Ye-Biao-Zhun"("中華人民共和國醫藥行業標準"), "Gan-Mao-Zhen-Duan-Biao-Zhun"("感冒診斷漂準"), "Zhong-Yi-Bing-Zheng-Zhen-Duan-Liao-Xiao-Biao-Zhun"("中醫病證診斷療效標準"), "Quan-Guo-Gao-Deng-Yi-Xue-Yuan-Xiao-Zhong-Yi-Zhuan-Ye-Jiao-Cai"("全國高等醫藥院校中醫專業敎材") are used as the criterion for diagnosis in Chinese medicine. 3. It is mainly used "Zhong-Yi-Bing-Zheng-Zhen-Duan-Liao-Xiao-Biao-Zhun"("中醫病證診斷療效標準") as the criterion for treatment effect evaluation, and symptom of traditional chinese medicine, the frequency and the duration of common cold, measurement of immunologic function are used as assistant evaluation indicator. 4. The research papers reported that the use of prescriptions such as Chai-Qi-Fang-Jiao-Tang, Tui-Re-He-Ji(退熱合劑), Ti-Xu-Gan-Mao-He-Ji(體虛感冒合劑), Yu-Ping-Feng-San-He-Gui-Zhi-Tang(玉屛風散合桂枝湯), Chai-Guan-Jie-Re-Ke-Li(柴貫解熱顆粒), Hu-Qin-He-Ji(蒿芩合劑), Lian-Hua-Feng-Cha(蓮花峰茶), Kang-Gan-He-Ji(抗感合劑), Bing-Du-He-Ji(病毒合劑), Zhong-Gan-Ling-Pian(重感靈片) led to the high efficacy 5. The pharmacological research papers reported that Yu-Ping-Feng-San(玉屛風散) have influence on IgA, phagocytic function of macrophage, the total number of splenocyte and PEC.

• Smart Structures and Systems
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• v.29 no.4
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• pp.599-616
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• 2022

Bridge displacement contains vital information for bridge condition and performance. Due to the limits of direct displacement measurement methods, the indirect displacement reconstruction methods based on the strain or acceleration data are also developed in engineering applications. There are still some deficiencies of the displacement reconstruction methods based on strain or acceleration in practice. This paper proposed a novel method based on long short-term memory (LSTM) networks to reconstruct the bridge dynamic displacements with the strain and acceleration data source. The LSTM networks with three hidden layers are utilized to map the relationships between the measured responses and the bridge displacement. To achieve the data fusion, the input strain and acceleration data need to be preprocessed by normalization and then the corresponding dynamic displacement responses can be reconstructed by the LSTM networks. In the numerical simulation, the errors of the displacement reconstruction are below 9% for different load cases, and the proposed method is robust when the input strain and acceleration data contains additive noise. The hyper-parameter effect is analyzed and the displacement reconstruction accuracies of different machine learning methods are compared. For experimental verification, the errors are below 6% for the simply supported beam and continuous beam cases. Both the numerical and experimental results indicate that the proposed data fusion method can accurately reconstruct the displacement.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.6031-6034
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• 2013

This study describes recent trends in incidence, survival and prevalence of subgroups of esophageal and gastric cancer in Linzhou city between 2003 and 2009. Data of esophageal and gastric cancer for the period of interest were extracted from the Linzhou Cancer Registry. Using information on tumor morphology or anatomical site, data were divided into six groups; esophageal squamous cell carcinoma, esophageal adenocarcinoma, other and unspecified types of esophageal cancer, and cardia, non-cardia, and unspecified anatomical site of stomach cancer. Incidence, survival and prevalence rates for each of the six cancer groups were calculated. The majority of esophageal cancers were squamous cell carcinomas (82%). Cardiac cancer was the major gastric cancer group (64%). The incidence of esophageal squamous cell carcinoma and gastric cardiac cancer increased between 2003 and 2009. Both esophageal and gastric cancer had a higher incidence in males compared with females. Overall survival was poor in all sub-groups with 1 year survival ranging from 45.9 to 65.6% and 5 year survival ranging from 14.7 to 30.5%. Prevalence of esophageal squamous cell carcinoma and gastric cardiac cancer was high (accounting for 80% overall). An increased focus on prevention and early diagnosis, especially in esophageal squamous cell carcinoma and gastric cardiac cancer, is required.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.1
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• pp.419-422
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• 2013

Conventional classifications of gastroenteropancreatic neuroendocrine tumours (GEP-NETs) are rather unsatisfactory because of the variation in survival within each subgroup. Molecular markers are being found able to predict patient outcome in more and more tumours. The aim of this study was to characterize the expression of the proteins cyclin D1, cyclin E and P53 in GEP-NETs and assess any prognostic impact. Tumor specimens from 68 patients with a complete follow-up were studied immunohistochemically for cyclin D1, cyclin E and P53 expression. High cyclin D1 and cyclin E immunostaining (${\geq}$ 5% positive nuclei) was found in 48 (71%) and 24 (35%) cases, and high P53 staining (${\geq}$ 10% positive nuclei) in 33 (49%). High expression of P53 was more common in gastric neuroendocrine tumors and related to malignant behavior, being associate with a worse prognosis on univariate analysis (RR=1.9, 95%CI=1.1-3.2). High expression of cyclin E was significantly associated with shorter survival in the univariate analysis (RR=2.0, 95%CI=1.2-3.6) and multivariate analysis (RR=2.1, 95%CI=1.1-4.0). We found no significant correlation between the expression of cyclin D1 and any clinicopathological variables. Our study indicated a prognostic relevance for cyclin E and P53 immunoreactivity. Cyclin E may be an independent prognostic factor from the 2010 WHO Classification which should be evaluated in further studies.