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| 1 | Oxidative stress in portal hypertension-induced rats with particular emphasis on nitric oxide and trace metals显示文摘AIM: To investigate the oxidative-stress-related changes in rats with portal hypertension with particular emphasis on nitric oxide (NO) and trace metals. METHODS: Cirrhosis was induced by partial portal vein ligation (PVL) in Wistar rats. The lipid peroxidation marker (malondialdehyde, MDA), antioxidant defense enzymes including superoxide dismutase (SOD), catalase (CAT), glutathione (GSH), and agents known to have antioxidant features including nitric oxide (NO), zinc (Zn), copper (Cu) were determined both in serum and in liver tissue at 4 wk after surgery in PVL and sham-operated rats. Portal pressure of all experimental animals was measured. MDA was detected by thiobarbituric acid reactivity assay.SOD activity was determined by inhibition of nitroblue tetrazolium reduction with xanthine/xanthine oxidase used asa superoxide generator. CAT activity was determined by the breakdown of hydrogen peroxide. GSH concentrations were measured by using metaphosphoric acid for protein precipitation and 5'-5'-dithio-bis-2-nitrobenzoic acid for color development. NO was detected by the Griess method after reduction of nitrate to nitrite with nitrate reductase, and the concentrations of Zn and Cu were measured by a Shimadzu 680 AA atomic absorption spectrometer. Histopathological confirmation was done under light microscope. Statistical analyses were done by Student's t-test, and significance of the difference was tested by the unpaired Mann-Whitney test. P<0.05 was considered statistically significant.RESULTS: Histopathological studies confirmed PVL induced cirrhotic changes. There was a statistically significant difference in portal pressure between PVL and control groups (P<0.001). The results showed significant increases in the levels of MDA and NO in both tissue and serum (P<0.05 and P<0.001, respectively in tissue; P<0.001 for each in serum), and Zn only in tissue (P<0.001)in rats with PVL compared with sham-operated rats. Besides, PVL rats exhibited reduced plasma and tissue GSH, CAT, SOD (P<0.001 for each). Serum and tissue Cu concentration did not change.CONCLUSION: Our findings suggest that PVL in rats induces important biochemical and molecular changes related to oxidative stress in the liver. | Titiz Izzet Krand Osman Unal Ethem Yavuz Nihat Kusaslan Ramazan Dogan Mustafa Uzun Hafize Kiziler Ali Riza Aydemir Birsen Genc Habibe Aydin Seval Simsek Gonul | 2005 | World Journal of Gastroenterology2005，11，23： | 1 |
| 2 | Estimating the Properties of Ground-Waste-Brick Mortars Using DNN and ANN显示文摘In this study,deep-neural-network(DNN)-and artificial-neural-network(ANN)-based models along with regression models have been developed to estimate the pressure,bending and elongation values of ground-brick(GB)-added mortar samples.This study is aimed at utilizing GB as a mineral additive in concrete in the ratios 0.0%,2.5%,5.0%,7.5%,10.0%,12.5%and 15.0%.In this study,756 mortar samples were produced for 84 different series and were cured in tap water(W),5%sodium sulphate solution(SS5)and 5%ammonium nitrate solution(AN5)for 7 days,28 days,90 days and 180 days.The developed DNN models have three inputs and two hidden layers with 20 neurons and one output,whereas the ANN models have three inputs,one output and one hidden layer with 15 neurons.Twenty-five previously obtained experimental sample datasets were used to train these developed models and to generate the regression equation.Fifty-nine non-training-attributed datasets were used to test the models.When these test values were attributed to the trained DNN,ANN and regression models,the brick-dust pressure as well as the bending and elongation values have been observed to be very close to the experimental values.Although only a small fraction(30%)of the experimental data were used for training,both the models performed the estimation process at a level that was in accordance with the opinions of experts.The fact that this success has been achieved using very little training data shows that the models have been appropriately designed.In addition,the DNN models exhibited better performance as compared with that exhibited by the ANN models.The regression model is a model whose performance is worst and unacceptable;further,the prediction error is observed to be considerably high.In conclusion,ANN-and DNN-based models are practical and effective to estimate these values. | Abdulkadir Karaci Hasbi Yaprak Osman Ozkaraca Ilhami Demir Osman Simsek | 2019 | Computer Modeling in Engineering & Sciences2019，，1： | 1 |
| 3 | Screening of Tissue Transglutaminase Antibody in Healthy Blood Donors for Celiac Disease Screening in the Turkish Population显示文摘 | Gonca Tatar Rengin Elsurer Halis Simsek Yasemin H. Balaban Gulsen Hascelik Osman I. Ozcebe Yahya Buyukasik Cenk Sokmensuer | 2004 | Digestive Diseases and Sciences2004，，9： | 1 |
| 4 | Fff ects of formwork surface materials on concrete lateral pressure显示文摘 | Metin Arslan Osman simsek Serkan Subasi | 2005 | Construction and Building Materials2005，，19： | 1 |
| 5 | Effects of formwork surface materials on concrete lateral pressure 显示文摘 | Arslan Metinl Simsek Osman Subasi Serkan | 2005 | Construction and Building Materials2005，19，4： | 1 |
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