Discursive strategies and political hegemony in Turkish politics: The Justice and Development Party's #yedirmeyecegiz vs. #occupygezi

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Experimental and numerical analysis of sodium-carbonate salt gradient solar-pond performance under simulated solar-radiation

The objective of this study is to investigate experimentally and theoretically whether sodium carbonate (Na2CO3) salt is suitable for establishing a salinity gradient in a salt-gradient solar-pond (SGSP). For this purpose, a small-scale prismatic solar-pond was constructed. Experiments were conducted in the laboratory under the incident radiation from two halogen-lamps acting as a solar simulator. Furthermore, a one-dimensional transient mathematical model that describes the heat and mass transfer behaviour of the SGSP was developed. The differential equations obtained were solved numerically using a finite-difference method. It was found from the experiments that the density gradient, achieved using sodium carbonate salt, can suppress convection from the bottom to the surface of the pond. © 2005 Elsevier Ltd. All rights reserved

Artificial neural network approach for evaluation of temperature and density profiles of salt gradient solar pond

The purpose of this study is to evaluate temperature and density profiles of an experimentally investigated salt gradient solar pond (SGSP) by using artificial neural network (ANN). The input parameters of the ANN are solar pond depth, ambient temperature, radiation absorption coefficient of salty solution in the pond, initial density values of the pond and time of day. The output parameters of the ANN are temperature and density profiles in the pond. The experimental data set consists of 168 values. These divided into two groups, of which the 134 values were used for training/learning of the network and the rest of data (34 values) for testing/validation of the network performance. According to the ANN predicted results compared to the experimental results, the mean relative error (MRE) is 2.30% for temperature and 0.63% for density. The correlation coefficients (R2) between the experimentally measured and the ANN predicted results are 0.9632 for temperature and 0.9855 for density in the test/validation data set. The calculated errors of proposed ANN model are in acceptable ranges. These results indicated that the ANN approach could be considered as an alternative and practical technique to evaluate the temperature and density profiles of a SGSP. © 2007 Energy Institute

BROADBAND SOCIETY AND GENERATIONAL CHANGES

The role generations play in accepting and shaping digital technologies, and possibly vice versa, is an increasingly relevant issue in contemporary society. For the first time in the academic debate, this volume outlines the theoretical issues and explores some results from empirical researches on the relationship between generations and the media in digital society. The first part of the book deals with the theoretical debate on generations, from Mannheim's to the revisiting of some classical notions shaped by disciplines as history, demography, marketing and sociology. The second part gathers a selection of researches at international level, with particular attention to the European context. Though each research used specific methodologies, the main approaches focused on media domestication by young and old generations, and on the comparative analyses of different generations in adopting media