• Journal of Korean Philosophical Society
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• v.130
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• pp.247-276
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• 2014

The purpose of this paper is to explore how Zhang Zai(張載)''s Gi-Hak(氣學) and Wang Shou-Ren(王守仁)''s Sim-Hak(心學) are interrelated, which differs from prior positions viewing the two as separate, unrelated philosophies or ones standing in contrast to each other. By direct comparing the notions Tae-Heo(太虛) and Yang-Ji(良知), I tried to explain that ontological structures of Gi-Hak and Sim-Hak are interrelated ; and by comparing Dae-Sim(大心) and Chi-Yang-Ji(致良知), I made an argument that Gong-Bu-Ron(工夫論) of Gi-Hak and Sim-Hak corresponds to each other. Zhang Zai''s the doctrine of Tae-Heo can be seen as a respond to Jeok-Myeol-Ron(寂滅論) in Buddhism ; therefore, understanding Sim-Hak in terms of Gi-Hak, that is, interpreting the fundamental meaning of Yang-Ji as Tae-Heo, can free Yang-Myeong-Sim-Hak(陽明心學) from the unceasing criticism by Ju-Ja-Hak(朱子學) that it is a 'Buddhistic heresy'. This study could be highly significant in that it enables us to read the tradition of Zhang Zai not only from the viewpoint of u-Ja-Hak, but even from ang-Myeong-Sim-Hak tradition. I interpreted Yangming School of Mind as a developmental succession of Neo-Confucianism, and understood Zhang Zai''s Gi-Hak as a theoretical pioneer of Wang Shou-Ren''s Sim-Hak.

• Parasites, Hosts and Diseases
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• v.57 no.2
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• pp.153-159
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• 2019

Echinococcus granulosus is an important zoonotic parasite globally causing cystic echinococcosis (CE) in humans and animals. In this study, prevalence of CE and variation of cox1 gene sequence were analyzed with isolates E. granulosus collected from different areas in northern Xinjiang, China. The survey showed that 3.5% of sheep and 4.1% of cattle were infected with CE. Fragment of cox1 was amplified from all the positive sheep and cattle samples by PCR. In addition, 26 positive samples across the 4 areas were included. The isolates were all E. granulosus sensu stricto (s.s.) containing 15 haplotypes (Hap1-15), and clustered into 2 genotypes, G1 (90.1%, 91/101) and G3 (9.9%, 10/101). Hap1 was the most common haplotype (48.5%, 49/101). Hap9 were found in humans samples, indicating that sheep and cattle reservoir human CE. It is indicate that E. granulosus may impact on control of CE in livestock and humans in the region.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.11
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• pp.4597-4601
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• 2015

Background: Macrophage migration inhibitory factor (MIF) -173G/C (rs755622) gene polymorphism has been associated with cancer risk. Previous studies have revealed that MIF -173G/C gene polymorphism may increase cancer in the Chinese population, while results of individual published studies remain inconsistent and inconclusive.We performed this meta-analysis to derive a more precise estimation of the relationship. Materials and Methods: We conducted a search on PubMed, Embase, MEDLINE, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI), Wanfang, Weipu on Dec 31, 2014.Odds ratio (OR) and 95% confidence interval (95% CI) were used to assess the association. A total of eight studies including 2,186 cases and 2,285 controls were involved in this meta-analysis. Results: The pooled results indicated the significant association between MIF -173G/C polymorphism and the risk of cancer for Chinese population (CC + CG vs GG: OR=1.14, 95%CI=1.02-127, pheterogeneity<0.01; P=0.023; CC vs CG+GG: OR=1.12, 95%CI=1.02-1.23, pheterogeneity<001; P=0.017;CC vs GG: OR=1.18, 95%CI=1.04-1.33, pheterogeneity<001; P=0.008; CG vs GG:OR=1.03, 95%CI=0.91-1.15, pheterogeneity<001; P=0.656; C vs G:OR=1.24, 95%CI=1.14-1.25, pheterogeneity<001; P<001). Subgroup analysis showed that in patients with "solid tumors", heterogeneity was very large (OR=0.94,95%CI=0.83-1.06,pheterogeneity=0.044; p=0.297). Within "non-solid tumors", the association became even stronger (OR=6.62, 95 % CI=4.32-10.14, pheterogeneity<0.001; p<0.001). Conclusions: This study suggested that MIF -173G/C gene polymorphism may increase increase cancer in the Chinese population.Furthermore, more larger sample and representative population-based casees and well-matched controls are needed to validate our results.