36 research outputs found
Study of heavy metal pollution in seawater of Kepez harbor of Canakkale (Turkey)
In this work, the heavy metals cadmium and lead in Kepez harbor were studied with regard to the determination of the environmental pollution levels. Seawater samples of the Dardanelles (Canakkale Strait) were collected from the nearest station to Kepez harbor in July 2007. Then, the concentrations of these metals were determined after simple pretreatment of samples by the proposed inductively coupled plasma-atomic emission spectrometry (ICP-AES) method. The analysis of a given sample is completed in about 15 min by the ICP-AES method, and the concentrations of Cd and Pb were found to be 73.80 mg L-1 (relative standard deviation [RSD], 1.07%) arid 9.39 mg L-1 (RSD, 0.70%), respectively. The accuracy of the applied ICP technique was checked by recovery studies, and good recoveries were obtained. The pollution levels of Cd and Pb recorded in this study were compared with those in other studies to analyze the water sample in Kepez harbor
Voltammetric Determination of Tenoxicam in Drug Formulation at Modified Glassy Carbon Electrode
Discovering SNP Interactions Associated with Breast Cancer Using Evolutionary Algorithms
AbstractGenetic association is a challenging task for the identification and characterization of genes that increase the susceptibility to common complex multifactorial diseases. To fully execute genetic studies of complex diseases, modern geneticists face the challenge of detecting interactions between loci. In this paper, two evolutionary methods were compared to detect associations of single nucleotide polymorphisms (SNPs): a genetic algorithm and Gauss particle swarm optimization. Genetic algorithm was developed with partial matched crossover operator and two different strategies for initialization: regular initialization and top-5 strategy initialization. In both methods for different SNP barcodes (SNP combinations with their corresponding genotypes) the difference between case and control data is computed systematically. The algorithms look for the best combination which is the barcode with maximum difference between the two groups. Analysis results support that the genetic algorithm with top-5 strategy for initialization provides higher frequency difference values than the Gauss particle swarm optimization. It is also proved that a genetic algorithm reduces a computational cost for obtaining higher frequency difference between the case and control group
Biometric Retina Identification Based on Neural Network
AbstractIn this paper the design of recognition system for retinal images using neural network is considered. Retina based recognition is perceived as the most secure method for identification of an identity used to distinguish individuals. The retina recognition stages including retina image acquisition, feature extraction and classification of the features are discussed. The structure of the neural network based retina identification is presented. Training of neural network based recognition system is performed using backpropagation algorithm. The structure of neural networks used for retina recognition and its learning algorithm are described. The implementation of recognition system has been done using MATLAB package
A new and emerging technology: Laser-induced surface modification of polymers
Laser-induced polymer surface modification is an emerging technique for imparting functional species to polymer surfaces. Laser technology, the important criteria in selecting an appropriate laser system and the principle of laser-assisted polymer surface modification are briefly discussed. Laser treatments have several benefits over other surface modification methods and new applications are being explored. Recent technological advances in laser surface modification and current applications of this technique pertaining to commonly used food packaging polymers are presented with state-of-the-art examples. Finally, the future applications of laser surface modified polymers in food packaging are examined and additional research requirements identified. (C) 1998 Elsevier Science Ltd. All rights reserved
Gender Differences in Job Satisfaction in 5 Star Hotels of North Cyprus: Descriptive Analysis
AbstractThe purpose of this study is to analyze the level of job satisfaction of the hospitality employees and provide empirical evidence whether gender differences exists in relation to the job satisfaction of male and female hospitality employees in 5 Star Hotels in North Cyprus. The study instrument used was the short form of Minnesota Satisfaction Questionnaire (MSQ) which measures job satisfaction using 20 facets of the job. A total of 248 hospitality employees agreed to take part in this study. Data was analyzed using statistical program SPSS 17 The study indicate that male hospitality employees, as compared to female hospitality employees, have a higher level of satisfaction with overall job satisfactio
Intelligent System for Persian Calligraphy Learning
AbstractPersian Nastaliq calligraphy is one of the most famous oriental arts. This study proposes for the first time an intelligent tutor system for automation of the Persian calligraphy learning process. The system incorporates image processing and machine learning technologies. Digitization, filtering, segmentation and feature extraction are image-processing techniques that prepare the appropriate input for the training phase of the SVM machine learning phase. Displaying suitable feedback on screen for learners is another aim of the study. In this regard, the system provides facilities for Persian Nastaliq calligraphy learners to reduce errors that are inherent in traditional education methods, makes the process more efficient and allows people to take advantage of learning possibilities whenever and wherever they choose
Investigation of some disinfection chemicals and water quality parameters in swimming pools in the city center and districts of Canakkale, Turkey
In this study, the variations in concentrations of some disinfection chemicals such as cyanuric acid (CyA), free chlorine (FC), and residual chlorine (RC), which affect human health, were investigated in the water of swimming pools. In addition, quality parameters such as temperature, pH, and total alkalinity (TA) in 44 swimming pools located in the city center and districts of Canakkale, Turkey, were examined in the summer period. While FC and RC amounts were analyzed using tablet tests with N-N-diethyl phenylenediamine (DPD 1) and potassium iodine (DPD 3) using the colorimetric method in the comparator, TA and CyA levels were measured with a photometric method. Temperature and pH were measured using YSI 556 MPS. Levels of CyA, FC, RC, pH, temperature, and TA varied between 0.00 and 725.0 mg L-1 (108.0 +/- 111.4 mg L-1), 0.00 and 5.00 mg L-1 (1.60 +/- 0.962 mg L-1), 0 and 0.55 mg L-1 (0.087 +/- 0.059), 6.40 and 8.20 mg L-1 (7.30 +/- 0.038 mg L-1), 22.0 and 32.0 degrees C (27.6 +/- 1.45 degrees C), and 0.00 and 391.0 mg L-1 129.3 +/- 89.0), respectively. The findings were compared to standard limit values of the Ministry of Health of the Turkish Republic and other countries. Not only maximum concentrations of CyA but also the average concentrations exceeded the standard limit values of different countries in July and August with high tourism activity in Turkey. Although there is no problem in view of average values of other quality parameters, there are some problems in view of the maximum values in pool waters compared to standard limit values
Seasonal variations in tap water quality parameters in Çanakkale, Türkiye
Water pollutants are a major problem for the world. Especially, heavy metals are significant environmental pollutants due to their tendency on accumulation in organisms and causing toxic effects on humans, animals, and aquatic organisms. Therefore, qualitative and quantitative analyses of pollutants are important. Especially the analysis of contaminants in tap water is important. In this study, unlike previous studies, physicochemical water quality parameters were also studied for the first time along with heavy metal analysis. Water-quality parameters (pH, temperature, conductivity, and dissolved oxygen) were determined in tap-water by YSI 556 MPS, other parameters such as biochemical oxygen demand (BOD) and chemical oxygen demand (COD) were determined by electrometric and titrimetric methods. Various anions were analysed with the UV-VIS spectroscopy technique. Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn were analysed as pollutants by ICP-OES. Amount of Cr, Cd, Ni, and Pb were found as detectable limits, but Cu, Fe, Mn, and Zn were found 0.003 ppm, 0.173 ppm, 0.009 ppm, and 2.343 ppm, respectively. The pH of the tap water was in the interval 6.64 and 7.12 (mean: 6.85 ± 0.12). Nitrite varied between 0.20 and 0.60 mg/L (average: 0.36±0.001 mg/L) revealing that the tap waters exceeded the TSE standards for first quality drinking waters (0.20 mg/L). The data were evaluated using the relevant statistical analyse
Voltammetric Determination of Acyclovir in Human Urine Using Ultra Trace Graphite and Glassy Carbon Electrodes
An electroanalytical method was developed for the direct quantitative determination of Acyclovir (Acy) in spiked human urine base on its oxidation behavior. The electrochemical oxidation and determination of Acy were easily carried out on ultra trace graphite electrode (UTGE) and glassy carbon electrode (GCE) using a variety of voltammetric techniques. The electrochemical measurements were carried out on these electrodes in various buffer solutions in the pH range of 3.66 to 9.08 by cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques. The best results for the quantitative determination of Acy were obtained by DPV technique in 0.2 M acetate buffer (pH=4.66). In this acidic medium, one irreversible anodic peak was observed. The anodic peak current and peak potential depend on pH and scan rate were studied. The diffusion controlled nature of the peak was established. Acy was determined in the concentration range from 4x10(-6) to 7x10(-5) molL(-1) for UTGE and 2.0x10(-6) to 1.0x10(-4) molL(-1) for GCE by the applied electroanalytical procedure. Limit of detection (LOD) and limit of quantification (LOQ) were obtained as 1.0x10(-6) and 3.3x10(-6) molL(-1) on UTGE and 3.5x10(-7) and 1.2x10(-6) molL(-1) on GCE, respectively. Repeatability, precision and accuracy of the developed technique were checked by recovery studies in spiked urine.Scientific and Technical Research Council of Turkey (TUBITAK) [TBAG-2173, 102T062]The author gratefully acknowledges to the Scientific and Technical Research Council of Turkey (TUBITAK, Grant No: TBAG-2173; 102T062). The authors would also like to thank Ilsan Inc (stanbul, Tukey) for supplying pure Acy for developing proposed voltammetric technique
