18 research outputs found
Fuzzy Evaluation of Impact of the Professional Female Tourist Guides Jobs on Their Family Life
No full textStatistical Reasoning of Impact of Motivation on Students’ Achievement in Foreign Language Learning
No full textAbstractThis research focuses on statistical reasoning in motivation issues in learning a foreign language. The opinions of university students studying at different departments and taking a foreign language course have been investigated through 43 statements related to motivation issues in order to find out their opinions on motivation sources in general, classroom motivation sources and motivation problems that arise or they encounter during their foreign language studies. The responses of participants through all the statements were in very close line with each other, without revealing any significant difference. The relation between the participants achievement level in foreign language courses and motivation revealed contradiction as the respondents claim lack of motivation but have a achievement level over the minimum pass level. This result reveals that in terms of statistical reasoning there is a contradiction between negative motivation and positive achievement
Learning strategies of students studying Russian as a second foreign language, with relation to English as their first foreign language
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Determination of the Opinions of Students on Tourism Impact Using Mobile Applications
No full textAbstractSince smart phones has become popular, we have been introduced to a huge volume of mobile applications. Every day, we are able to find a new mobile application for different purposes. With these applications, we can edit our photos or contact people on social networks. The main aim of this study is to determine the students’ opinions on Tourism impact using Mobile Applications. In line with this aim, the authors developed a 5-point Likert-type scale consisting of 20 positive statements. The scale was administered to 352 distance learning students during the 2014-2015 spring terms at Near East University. Data were analyzed with IBM SPSS 22. The results showed that students prefer Trip Advisor application to find historical places and they select places to visit after they read user comments. Students also revealed that booking.com are more reliable than other applications. Besides, students prefer to download maps applications and they use GPS when they travel the cities
Statistical and Structural Equation Modelling the Relationship Between Creativity and Material Design Self-efficacy Beliefs of Preschool Woman Preservice Teachers
No full textDiscovering SNP Interactions Associated with Breast Cancer Using Evolutionary Algorithms
No full textAbstractGenetic 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
‐Aminobenzene Sulfonic Acid) Film Modified Glassy Carbon Electrode
No full textAcyclovir is an antiviral effective drug active compound. A glassy carbon electrode (GCE) was modified with an electropolymerized film of p-aminobenzene sulfonic acid (p-ABSA) in phosphate buffer solution (PBS). The polymer film-modified electrode was used to electrochemically detect acyclovir. Polymer film showed excellent electrocatalytic activity for the oxidation of acyclovir. The anodic peak potential value of the acyclovir at the poly(p-ABSA) modified glassy carbon electrode was 950mV obtained by DPV. A linear calibration curve for DPV analysis was constructed in the acyclovir concentration range 2x10(-7)-9x10(-6)molL(-1). Limit of detection (LOD) and limit of quantification (LOQ) were obtained as 5.57x10(-8) and 1.85x10(-7)molL(-1) respectively. The proposed method exhibits good recovery and reproducibility
Biometric Retina Identification Based on Neural Network
No full textAbstractIn 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
