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Sivas, Turkey

Cumhuriyet University is a public university established in the Sivas Province of Turkey in 1973 at the 50th anniversary of Republic of Turkey. The main campus of the university is located 5 kilometers away from Sivas city center, settled in an area of 2,720 acres by Kızılırmak River.The university offers lectures, educational opportunities, cultural and sportive activities to more than 50,000 undergraduate, post graduate and doctorate students by 2435 academic staff, cultural and sportive facilities, and libraries. Wikipedia.

Esen M.,Firat University | Yuksel T.,Cumhuriyet University
Energy and Buildings | Year: 2013

The interest in alternative or renewable energy sources for greenhouse heating is currently high, owing to the large heating loads and the relatively high price of fossil fuels. Important alternative sources of energy are solar collectors, heat pumps, biomass and cogeneration systems. This study experimentally investigates greenhouse heating by biogas, solar and ground energy in Elazig, Turkey climate conditions. The greenhouse (6 m × 4 m × 2.10 m) heated by mentioned alternative energy sources was constructed, and then required heating load of the greenhouse was determined. For this purpose, biogas, solar and a ground source heat pump greenhouse heating system (BSGSHPGHS) with horizontal slinky ground heat exchanger was designed and set up. Experiments were conducted extensively during the winter period from November 2009 to March 2010. During the experiments, 2231.83 l of gas production by biogas system is provided. The experiments that are required for the growth of many plants need temperature of 23 C, and conceivable success has been achieved in reaching this value by built systems. As a result, different energy sources have been successfully tested for greenhouse heating. © 2013 Elsevier B.V. All rights reserved. Source

Akkaya R.,Cumhuriyet University
Journal of Environmental Radioactivity | Year: 2013

Poly(hydroxyethylmethacrylate-pumice), [P(HEMA-Pum)], composite was synthesized by free radical polymerization in aqueous solution. The adsorptive features of P(HEMA-Pum) composite were investigated for UO22+ and Th4+ using a range of pH, concentration, time (kinetics), temperature (thermodynamics), ionic strength and selectivity, and the related parameters were derived from the obtained results. These results indicated that all adsorbents had high affinity to the uranium and thorium ions. The parameters obtained from Langmuir, Freundlich and Dubinin-Radsushkevich models fit the data well. The values of enthalpy and entropy changes showed that the overall adsorption process was endothermic (ΔH > 0) and increasing entropy (ΔS > 0), and it was spontaneous (ΔG < 0) as expected. The adsorption kinetics following the pseudo-second order model indicated that the rate-controlling step was chemical adsorption that occurred by ion exchange process. Reusability of P(HEMA-Pum) was also investigated, and it was found that the composite could be used at least 5 times. © 2012 Elsevier Ltd. Source

This paper presents a novel effective method for the optimization of oil agglomeration process of Zonguldak/Turkey bituminous coal with multiple performance characteristics based on the grey relational analysis (GRA). Oil agglomeration parameters including solid content, amount of oil, agitation time and agitation rate were optimized based on multiple performance characteristics. The characteristics of interest are the grade and the recovery of the agglomerates. Nine experiments were conducted using GRA to optimize the settings for oil agglomeration parameters to generate various quality characteristics. Analysis of the grey relational grade indicates the parameter significance and the optimal parameter combination for the oil agglomeration process. The analytical results from two confirmation experiments using the optimal parameters confirm that the above performance characteristics in oil agglomeration process can be improved effectively through this approach. © 2013 Elsevier Ltd. All rights reserved. Source

This case study presented herein compares the GIS-based landslide susceptibility mapping methods such as conditional probability (CP), logistic regression (LR), artificial neural networks (ANNs) and support vector machine (SVM) applied in Koyulhisar (Sivas, Turkey). Digital elevation model was first constructed using GIS software. Landslide-related factors such as geology, faults, drainage system, topographical elevation, slope angle, slope aspect, topographic wetness index, stream power index, normalized difference vegetation index, distance from settlements and roads were used in the landslide susceptibility analyses. In the last stage of the analyses, landslide susceptibility maps were produced from ANN, CP, LR, SVM models, and they were then compared by means of their validations. However, area under curve values obtained from all four methodologies showed that the map obtained from ANN model looks like more accurate than the other models, accuracies of all models can be evaluated relatively similar. The results also showed that the CP is a simple method in landslide susceptibility mapping and highly compatible with GIS operating features. Susceptibility maps can be easily produced using CP, because input process, calculation and output processes are very simple in CP model when compared with the other methods considered in this study. © 2009 Springer-Verlag. Source

Ozener B.,Cumhuriyet University
American Journal of Physical Anthropology | Year: 2010

Many adverse environmental and genetic factors can affect stability of development during human growth. Although the level of fluctuating asymmetry (FA) may be influenced by environmental and genetic stress encountered during this period, directional asymmetry (DA) is largely attributable to differential mechanical loading during bone growth, for example, handedness. I assessed the effects of heavy working conditions and socioeconomic conditions on asymmetry levels in three groups of young human males: 1) individuals employed in the heavy industry sector (n = 104, mean age = 18.48 ± 0.61 years), 2) individuals who had the same socioeconomic status as the laborers (n = 102, mean age = 18.39 ± 0.58 years) but were not laborers, and 3) nonlaborers from the higher socioeconomic levels of society (n = 103, mean age = 18.43 ± 0.67). For all subjects, hand length, hand width, elbow width, wrist width, knee width, ankle width, foot length, foot width, ear length, and ear width were measured. All measurements of the upper extremities in the labor group appeared to exhibit DA; in the other two groups only hand measurements exhibited DA. According to analysis of FA, subjects living in poor conditions exhibited more FA than their nonlaborer peers living in better conditions. In addition, biomechanical pressures due to heavy working conditions of the labor group appeared to cause increased DA in the upper extremities: DA increased with an increase in the number of years working. © 2010 Wiley-Liss, Inc. Source

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