http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13734 Thu, 23 Apr 2026 06:57:04 GMT 2026-04-23T06:57:04Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13887 Performance prediction of a single-stage refrigeration system using R134a as a refrigerant by artificial intelligence and machine learning method YUCE, Bahadir Erman In this study, COP and heat capacities of evaporator and condenser were calculated by artificial intelligence and machine learning method in a vapor compression mechanical refrigeration cycle using well-known R134a as a refrigerant. Dataset was obtained with CoolPack software to train the model. Evaporating, condensing, superheating and subcooling temperatures are selected as input data. COP, heat capacities of evaporator and condenser are included in the dataset as target values. Artificial Neural Network (ANN) model was created with Matlab R2018b software and validated with target data. The output files obtained were compared with the target files and it was found that the mean square error value was quite close to one. The results of this study show that the ANN method can be used to obtain cycle parameters in one stage refrigeration cycle with high accuracy. Wed, 01 Jan 2020 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13887 2020-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13886 The effect of different negative parameters on the performance of steel structures IŞIK, Ercan; KAYA, Berfin; KARAŞİN, Ibrahim Baran In this study, we present the effect of various negativity parameters on steel structures that cause postearthquake damage based on performance-based assessment. In accordance with this purpose, eigenvalue and pushover analysis are carried out for different negativity parameters such as number of story, soft story, short column, hill-slope effect and irregularity in plan for a sample steel structure in this study. Structural models were created over the reference building to cover each negativity parameter within the scope of this study. Natural vibration period, base shear force, target displacements for damage estimation and stiffness values are obtained for each structural model separately. The comparisons with the reference building model results are made. The effect to behavior of structures is determined and a reduction coefficient is proposed, for each negativity parameter, respectively. The proposed coefficients can be used to determine the risk priority in steel structures. It was concluded that each negativity parameter considered in this study reduces the behavior of the building under the effect of earthquakes. Wed, 01 Jan 2020 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13886 2020-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13883 Augmented reality practices in health services: Literature review Boşat, Merve; Önder, Emrah; Arcagök, Uğur Augmented reality (AR) is a version of virtual reality (VR) technology, and digital three-dimensional interfaces and virtual objects appear before us as a dynamic and innovative technology allowing simultaneous interaction with the real world. Today, we encounter wearable technologies as the widespread use of augmented reality technologies. Along with the rapid proliferation of mobile devices and wireless network technologies, innovative technologies such as augmented reality (AR) and virtual reality (VR) have also become useable in each domain. The development of health technologies also in the same pace brings along the opportunities for using such technologies in the domain of health. In the present study, literature review on AR practices used in the domain of health was made, and the data was analyzed. Wed, 01 Jan 2020 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13883 2020-01-01T00:00:00Z http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13882 The relationship between nitric oxide and cadmium toxicity in wheat (Triticum aestivum L.) seedlings CANAKCI GULENGUL, Songül; OZSAHIN K, Ayse Dilek; OKUTAN HAMARAT, Tuba In this study, biochemical responds against different cadmium concentrations (25 µM, 50 µM and 75 µM) in seedlings belonging to three wheat (Triticum aestivum L.) varieties applied to different SNP (25 µM and 50 µM) concentrations. As the material of the study, fifteen days old seedlings of wheat (Triticum aestivum L.) were used. In all applications carried out to the seedlings, hydroponic method was preferred. The seedlings were divided into three groups in which pretreatment of SNP (sodium nitroprusside) for 48 hours were done. After that, different concentrations of cadmium were applied to these three groups to except controls (pure water and SNPs). In addition, reduced glutathione (GSH) / oxidized glutathione (GSSG) ratio, catalase (CAT) with superokside glutathione (SOD) activities were detected in the leaves. According to the obtained results, (GSH) / (GSSG) ratio reduced in all three varieties; CAT activity was reduced in Bayraktar and Ikizce, but it was increased in Tosunbey. SOD activity was increased all three varieties. The most prominent responses of SOD enzyme activity in the leaves of wheat seedlings were determined in Tosunbey wheats. When the results are evaluated, generally, 50 µM of SNP pre-application was found as more successful than 25 µM of SNP application in terms of attenuating Cd toxicity. SNP was found to have a mitigating effect against Cd depending on the dose. Wed, 01 Jan 2020 00:00:00 GMT http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/13882 2020-01-01T00:00:00Z