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Öğe Heavy metal contamination along the Nigde-Adana highway, Turkey(ASIAN JOURNAL OF CHEMISTRY, 2007) Yalcin, M. Gurhan; Battaloglu, Rifat; Ilhan, Semiha; Tumuklu, Ali; Topuz, DervisThis study was conducted on the route of D805 and D750 state highways and TEM E90 motorway connecting the Nigde and Adana cities in central and southern Anatolia. The aim of study is to determine the heavy metal contamination in upper level of soil along the D805, D750 and TEM highways. Heavy metal concentrations were measured with Spectro-Xepos Benchtop X-Ray Fluorescence Spectrometer. Results of heavy metal analyses on soil samples reveal a significant contamination. It was determined that heavy metal accumulation is closely associated with traffic intensity. The heavy metal ranges and averages for soil samples at D805, D750 and TEM E90 roads were found as 16980-62790/37907.76, 17.8-98.6 /43.62, 20-217/71.65, 56.5-405.9/165.55, 3.6-5.1/4.33, 75.5-596.2/175.76, 169-1167/554.9, 24-79/39.47, 316-1289/764.97, 1830-5048/3088.23, 6.8-15/8.56, 22-26/23.89, 2.8-63.4/13.86 mg/kg for Fe, Cu, Pb, Zn, Cd, Ni, Cr, Co, Mn, Ti, Sri, Mo and As elements, respectively. In this study, all heavy metal contents to have a toxic effect.Öğe Jackknife Resampling Method for Estimation of Fuzzy Regression Parameters and Revised Tanaka Method(Mattioli 1885, 2021) Topuz, DervisObjective: In this paper, hierarchical ways of constructing a fuzzy regression model using the jackknife resampling technique were the basis of the study. Fuzzy techniques are based on blurring the coefficients, while the jackknife technique is based on the delete one and delete-d observations. Methods: This study aimed to estimate the deviation, standard error, and confidence interval of the regression coefficients calculated by the jackknife Revised Tanaka (JFLR) technique, and to compare the performance of the jackknife least squares (JOLSR) technique with the relevant estimates. Results: The calculation of estimates is presented with a clinical numerical example. The deviation of the Revised Tanaka FLR model, standard errors, and confidence intervals of regression coefficients were found to be significantly smaller than the estimated JOLSR standard errors. The value of MSE calculated by fuzzy jackknife regression based on Revised Tanaka FLR technique was found to be bigger than MSE calculated by JOLSR technique. Conclusion: Jackknife OLS and jackknife FLR regression methods can be used effectively for parameter estimation, and the jackknife revised Tanaka regression method gives more reliable and valid results.Öğe Lactation Milk Yield Prediction with Possibilistic Logistic Regression Analysis(Kafkas Univ, Veteriner Fakultesi Dergisi, 2021) Topuz, DervisThe logistic regression is a popular method to model the probability of a categorical outcome given as a dependent variable. However, the possibilistic logistic regression can be preferred instead of classical logistic regression when the dependent variable has uncertainity. The aim of this study is to use the possibilistic logistic regression on animal husbandry examining the theoretical foundations of the method based on fuzzy logic approach. A total of 90 cows were enrolled in the study and the average milk yield in 305 days was predicted by animal's weight, breed of the animal, age in lactation, num ber of milkings per day and the milking seasons of cows belonging to different breeds. The Mean Degree of Memberships (MDM) and the Mean of Squared Error (MSE) indices were calculated to decide the goodness of fit of the model.The index values were found as MDM=0.896 and MSE=4.871, respectively. It was shown that the model is fit and is succesfull to predict the average milk yield. It can be concluded that the model can provide the businesses on lactation milk yield production an efficient and accurate prediction results.Öğe Nutritional status and calcium levels in serum and urine of primary hypertensives and normotensives(ASIAN JOURNAL OF CHEMISTRY, 2008) Kayakirilmaz, Kadriye; Bayol, Emel; Yilmaz, Hatice Bal; Ozgun, Hacer Kutluk; Ozbek, Tulay; Topuz, Dervis; Battaloglu, RifatThis research has been designed for the determination of the nutritional status, serum and urinary calcium (UCa) levels and correlation between UCa and blood pressure (BP). 31 Volunteers' patients with essential hypertension (HT) and 31 age- and gender-matched normotensive (NT) control subjects living in Ankara and Nigde from Turkey have participated in this study. 62 Subjects' 24 h urinary samples were collected. Besides, for determination of the correlation between 24 h UCa and overnight UCa (12 h UCa), 38 urine samples (9 patients and 29 control subjects) were collected. Nutritional status was evaluated according to their food consumption and physical examination. After analyzing the collected blood and urinary samples, the mineral status was also evaluated. Urinary and serum Ca levels were determined by flame atomic adsorption spectroscopy. The mean 24 h urinary Ca excretion rates (24 h UCaV) in hypertensive and normotensive subjects were 101 +/- 69 and 128 +/- 85 mg/day, respectively (n = 62, t = 1.378, p > 0.05). The mean serum Ca levels in HT was significantly decreased when compared with the controls (n = 26, t = 2.54, p < 0.05). In NT subjects systolic blood pressure (SBP) correlated positively with diastolic blood pressure (DBP) (r = 0.588) and UCaV (r = 0.516) and negatively with dietary Ca (r = -0.617, for all p < 0.05). In NT group DBP correlated positively with body mass index (BMI) (p < 0.05). In HT subjects, SBP correlated positively with DBP (r = 0.741) and negatively with serum Ca (r = -0.633), DBP also correlated negatively with serum Ca (r = 0.727). Among the 38 subjects, overnight calcium excretion rate (12 h UCaV) was correlated with the 24 h UCaV (y = 0.8279x + 42.735, r = 0.81, R-2 0.653, p < 0.05).Öğe The evaluation of potentially toxic elements using artificial neural networks and fuzzy linear regression analysis methods in cappadocian volcanic ash soils of Turkey(Cell Press, 2023) Kilic, Kenan; Topuz, DervisThe aim of this study is to determine the relationships between some potentially toxic elements (PTE) (Cu, Mn, Ni, Zn) in human stomach and intestinal tissues and toxic element contents in soil, vegetables and fruits. This study was conducted in the eastern of Erciyes Strato volcano, an area of 2400 km2 in Turkey. Tissue samples taken from the stomach and intestines of people living in the study area, soils, vegetables, and fruits were used as material. In the study, tissue samples of 26 people's stomach and intestines, 576 soil samples from 192 points and 3 different depths (0-30 cm, 30-60 cm, and 60-90 cm) and vegetable and fruit samples from 137 sampling points were taken. Cu, Mn, Ni, and Zn contents of human tissue samples, soil samples, vegetable and fruit samples were determined. Artificial Neural Networks method (ANN) and Fuzzy Linear Regression Analysis (FLRA) methods were used to determine the relationships between PTE contents in human tissue samples and soils, vegetables, and fruits. Root Mean squared error (RMSE) and coefficient of determination (R2) indices were used as the test criteria for goodness of fit. When compared with ANN method, it was determined that PTE values in stomach and intestinal tissue estimated by FLRA method had the lowest error and high R2 values. It was found that the most effective variable in estimating the average PTE value in stomach and intestinal tissue is PTE values in soil. It was determined that the FLRA regression analysis method has a better predictive power than the ANN method. Using FLRA and ANN regression methods, it was determined that there is a statistically high relationship between PTE contents in soils and stomach and intestinal tissues. It is recommended to make the study findings more meaningful with effective and reliable service planning by using different regression analysis methods in ecological and clinical studies.
