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Izmir, Turkey

Ege University is a public university in İzmir, Turkey. It was founded in 1955 with the faculties of Medicine and Agriculture. It is the first university to start courses in İzmir and the fourth oldest university in Turkey. Ege University commonly ranks close to the top among research universities in Turkey.Ege University in Bornova, a district of Izmir, the third largest city in Turkey and one of its principal industrial, commercial, cultural and tourist centers. Izmir is a city, which is a reference point in world history and in its intellectual present and future. Izmir city hosts four state and five private universities. Being one of the largest cities of the country, it provides ample cultural and recreational activities. The city is in the Aegean region near the seacoast and is very accessible with excellent road and rail links and an airport to national and international destinations. Wikipedia.

The effects of styrene-butadiene-styrene (SBS) and SBS with new reactive terpolymer (Entira®Bond 8) modifications on the rheological properties of pure bitumen were investigated and compared to each other. Four polymer modified bitumens (PMBs) were produced by mixing bitumen with SBS at two polymer contents and with SBS + Entira®Bond 8 at the same polymer contents. The rheologic characteristics of the PMBs were analyzed by means of conventional test methods like penetration, softening point and Fraas breaking point as well as rotational viscometer (RV), dynamic shear rheometer (DSR) and bending beam rheometer (BBR) test methods. Conventional binder properties of different PMB groups demonstrated that the polymers increase stiffness (hardness) and improve susceptibility of pure bitumen to temperature changes. Both polymers groups improve properties of bitumen, such as increased elastic responses (increased complex shear modulus and decreased phase angle) at low to high temperatures and reduced creep stiffness at low temperatures. Based on the results of this investigation it can be noted that SBS + Entira®Bond 8 modifications improved the conventional and more fundamental properties of bitumen better than just SBS modifications. © 2012 Elsevier Ltd. All rights reserved. Source

A new sensor membrane based on a novel triazolo-thiadiazin derivative immobilized in polyvinyl chloride has been developed for the determination of Pb(II) ions that displays excellent performance. The parameters involved in the preparation of the optode and determination of Pb(II) were optimized. Under the optimal conditions, the proposed sensor displays a calibration response for Pb(II) over a wide concentration range of 5.0 × 10-8 to 3.8 × 10-4 M with the detection limit of 2.2 × 10 -8 M. In addition to high reproducibility and reversibility of the fluorescence signal, the sensor also exhibits good selectivity over common metal ions. The optode membrane developed is easily prepared, stable, rapid, and simple for the determination of Pb(II). The accuracy of the proposed sensor was confirmed by analyzing standard reference materials of natural water and surface water. The sensor was successfully used for the determination of Pb(II) ions in water samples with satisfactory results. © 2011 Elsevier B.V. All rights reserved. Source

Sibel Akalin A.,Ege University
Trends in Food Science and Technology | Year: 2014

Milk proteins are precursors of many different biologically active peptides including antimicrobial ones. These peptides have already been considered for application both as dietary supplements in "functional foods" and as drugs. This review focuses on the recent knowledge pertaining to antimicrobial peptides derived from major milk proteins (caseins and whey proteins) and the mechanism of action of these peptides. Possible applications in the pharmaceutical industry and processing technologies designed for the large-scale production of these protein fragments are also discussed. © 2014 Elsevier Ltd. Source

Oncel S.S.,Ege University
Renewable and Sustainable Energy Reviews | Year: 2013

One of the most important dilemmas of the modern world is to supply enough energy with minimal environmental impact. On this demand bioenergy from renewable biofuels is of growing public and private interest. Recent developments in the scientific researches show that microalgae have potential as a source of bioenergy. With their exception of being one of the oldest residents of the Earth and playing a vital role in building up the atmosphere, microalgae have a variety of diversified strains, biochemical routes and products that can be used for biofuel processing. An increasing number of researchers, academics, entrepreneurs and investors are now working on new technologies to adapt microalgae originated energy into our daily life. The aim of this review is to focus on microalgae based biofuels under the main titles of biodiesel, biohydrogen, bioethanol and biomethane. For evolution in bioenergy that started with the first generation way through the third generation and today stepping on the concept of fourth generation, microalgae will be a good candidate for an alternative energy source. © 2013 Elsevier Ltd. Source

Savran A.,Ege University
Applied Soft Computing Journal | Year: 2013

In this paper, a novel multivariable predictive fuzzy-proportional- integral-derivative (F-PID) control system is developed by incorporating the fuzzy and PID control approaches into the predictive control framework. The developed control system has two main units referred as adaptation and application parts. The adaptation part consists of a F-PID controller and a fuzzy predictor. The incremental control actions are generated by the F-PID controller. The controller parameters are adjusted with the predictive control approach. The fuzzy predictor provides the multi-step ahead predictions of the plant outputs. Therefore, the F-PID controller parameters are adjusted by minimizing the errors between the predicted plant outputs and reference trajectories over the prediction horizon. The fuzzy predictor is trained with an on-line training procedure in order to adapt the changes in the plant dynamics and improve the prediction accuracy. The Levenberg-Marquardt (LM) optimization method with a trust region approach is used to adjust both the controller and predictor fuzzy systems parameters. In the application part, an identical F-PID controller of the adaptation part is used to control the actual plant. The adjusted parameter values are transferred to this identical controller at each time step. The performance of the proposed control system is tested for both single-input single-output (SISO) and multiple-input multiple-output (MIMO) nonlinear control problems. The adaptation, robustness to noise, disturbance rejection properties together with the tracking performances are examined in the simulations. © 2012 Elsevier B.V. All rights reserved. Source

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