• Korean Journal of Heritage: History & Science
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• v.44 no.3
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• pp.44-61
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• 2011

This study consider the life and works of Hu ShunShen(胡舜申) who was the author of JiRiSinBub(地理新法) which the representative FengShui book in Choson dynasty. His adult name is RuJia(汝嘉). He was born in on September 6, 1091 at JiXi(績溪) in China as a son of Ho Xian(胡咸). He left his hometown with his family to avoid war and settled down in HuZhou(胡州). He took up an official post with his brother's YinPu(蔭補), and held several provincial official posts. After serving as vice governor(通判) of ShuZhou(舒州), he became supervisor of taoist temple(崇道觀) in TaiZhou(台州) and retired from office. After burying his father, he took an interest in fengShui(風水) and studied for a long time. People say that JiangXiDilixinfa(江西地理新法) is the well-known FengShui book written by him. When he was 74 years old, he suggested opening SheMen(蛇門) gate and XuMen(胥門) gate in SuZhou(蘇州) castle by "WoMenZhongGao(吳門忠告)". But it didn't come ture. He died March 9, 1177 at the age of 87 and was buried in HuZhou(胡州). His elder brother Hu Shunzhi(胡舜陟) and nephew HuZi(胡仔) is well-known. He had a son named Hu wei(胡偉) who served pacification commissioners of JiangXi(江西宣撫使). His Works were YiSiSiZhouLu(乙巳泗州錄), YiYouBiLuanLu(己酉避亂錄) as essay and YinYangBeiYong(陰陽備用), JiRiSinBub(地理新法), "WoMenZhongGao(吳門忠告)" as fengShui text.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5721-5727
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• 2014

Objectives: To evaluate the performance of clustering methods used in the prognostic assessment of categorical clinical data for hepatocellular carcinoma (HCC) patients in China, and establish a predictable prognostic nomogram for clinical decisions. Materials and Methods: A total of 332 newly diagnosed HCC patients treated with hepatic resection during 2006-2009 were enrolled. Patients were regularly followed up at outpatient clinics. Clustering methods including the Average linkage, k-modes, fuzzy k-modes, PAM, CLARA, protocluster, and ROCK were compared by Monte Carlo simulation, and the optimal method was applied to investigate the clustering pattern of the indices including platelet count, platelet/lymphocyte ratio (PLR) and serum aspartate aminotransferase activity/platelet count ratio index (APRI). Then the clustering variable, age group, tumor size, number of tumor and vascular invasion were studied in a multivariable Cox regression model. A prognostic nomogram was constructed for clinical decisions. Results: The ROCK was best in both the overlapping and non-overlapping cases performed to assess the prognostic value of platelet-based indices. Patients with categorical platelet-based indices significantly split across two clusters, and those with high values, had a high risk of HCC recurrence (hazard ratio [HR] 1.42, 95% CI 1.09-1.86; p<0.01). Tumor size, number of tumor and blood vessel invasion were also associated with high risk of HCC recurrence (all p< 0.01). The nomogram well predicted HCC patient survival at 3 and 5 years. Conclusions: A cluster of platelet-based indices combined with other clinical covariates could be used for prognosis evaluation in HCC.