6篇
您的检索式：作者名="Nutchanart"
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| 1 | There is no association between K469E ICAM-1 gene polymorphism and biliary atresia显示文摘AIM: To determine whether there was an association between inter-cellular adhesion molecule-1 (ICAM-1) gene polymorphism and biliary atresia (BA), and to investigate the relationship between serum soluble ICAM-1 (sICAM-1)and clinical outcome in BA patients after surgical treatment.METHODS: Eighty-three BA patients and 115 normal controls were genotyped. K469EICAM-1 polymorphism was analyzed using PCR assay. Serum sICAM-1 was determined using ELISA method from 72 BA patients. In order to evaluate the association between these variables and their clinical outcome, the patients were categorized into two groups:patients without jaundice and those with persistent jaundice.RESULTS: There were no significant differences between BA patients and controls in terms of gender, K469E ICAM-1genotypes, and alleles. The proportion of patients having serum sICAM-1 ≥3 500 ng/mL in persistent jaundice group was significantly higher than that in the other group. In addition, there was no association between K469EICAM-1polymorphism and the status of jaundice in BA patients after Kasai operation.CONCLUSION: ICAM-1 possibly plays an important and active role in the disease progression. However, the process is not associated with genetic variation of K469EICAM-1 polymorphism. | Paisam Vejchapipat Naruemol Jirapanakom Nutchanart Thawornsuk Apiradee Theamboonlers Voranush Chongsrisawat Soottiporn Chittmittrapap Yong Poovorawan | 2005 | World Journal of Gastroenterology2005，11，31： | 3 |
| 2 | Molecular analysis of hepatitis B virus associated with vaccine failure in infants and mothers: A case–control study in Thailand显示文摘 | Pattaratida Sa‐nguanmoo Pisit Tangkijvanich Piyanit Tharmaphornpilas Aim‐orn Rasdjarmrearnsook Saowanee Plianpanich Nutchanart Thawornsuk Apiradee Theamboonlers Yong Poovorawan | 2012 | J Med Virol2012，，8： | 1 |
| 3 | Influence of Atmospheric Correction and Number of Sampling Points on the Accuracy of Water Clarity Assessment Using Remote Sensing Application显示文摘 | Nutchanart S Kritsanat S Sansarith T | 2011 | Journal of Hydrology2011，401，34： | 1 |
| 4 | Influence of atmospheric correction and number of sampling points on the accuracy of water assessment using remote sensing application显示文摘 | Nutchanart Sriwongsitanon | | 0，，： | 1 |
| 5 | Molecular epidemiological study of hepatitis B virus in Thai- land based on the analysis of pre-S and S genes显示文摘 | Kamol Suwannakarm Pisit Tangkijvanich Nutchanart Thawornsuk | 2008 | Hepatology re- search2008，38，3： | 1 |
| 6 | Projections of future rainfall for the upper Ping River Basin using regression-based downscaling显示文摘The objective of this study was to use regression modelling, a form of statistical downscaling technique, to predict the daily rainfall occurrence and rainfall amounts for a small river basin, the upper Ping River Basin (UPRB) in northern Thailand. Daily historic (1960e2005)rainfall and a number of daily reanalysis variables (NCEP/NCAR) were used to create regression models that estimate the probabilities of rainfall occurrence (wet days) and amounts (rainfall depth) at each of 29 rain gauge stations located in and around the UPRB. The regression models were calibrated using historic (1960e1989) data and validated using historic (1990e2005) data. Regression models were later applied to historic (1960e2005) GCM outputs (MPI-ESM-LR model) which were adjusted to correspond to the selected reanalysis variables using the Nested Bias Correction (NBC) technique. Rainfall occurrence and amounts were predicted for the periods 2006e2050 and 2051e2100 for RCP2.6, RCP4.5, RCP8.5 scenarios. Results show that the effects of climate change vary considerably across the catchment, with significantly declines in both the number of wet days and rainfall depth in the wet- and especially the dry-season in the middle of the catchment but obviously increase slightly towards the northern part of the catchment. Since the stepwise regression was used to select the atmospheric variables to form the regression models for simulating rainfall occurrence and amount, different stations have their own predictors and can influence future rainfall to vary significantly between 29 rain gauge stations. If the top three predictors were selected to form the regression models for simulating rainfall occurrence and amount for all stations, the future rainfall characteristics possibly change and can be used to compare with those of presented in this study. It will show either atmospheric predictors or climate change scenarios would have more effect on future rainfall characteristics. | Sirikanya SAENGSAWANG Phaotep PANKHAO Chanphit KAPROM Nutchanart SRIWONGSITANON | 2017 | Advances in Climate Change Research2017，8，4： | 0 |
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