Yaşar University

About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.

Microbiological and Physicochemical Quality of Carp sausage Enriched With Propolis Natural Extract during Chilled Storage

Abstract: This study aimed to determine the effect of propolis extract on quality of liquid smoked carp (Cyprinus carpio) sausage stored at 2°C for 9 weeks. Carp sausages were separated into three gr...

Evaluation of the Static and Pseudo-Static Stability and Effectiveness of an Improvement Technique for Slopes of the Vanyar Dam Reservoir

Abstract: Excavation on the inclined surfaces on the dam reservoir and rising water level may also affect the slope stability of the inclined surfaces in the dam reservoir under static and dynamic conditions. In this study, it is aimed to present a three-dimensional (3D) model to analyze slope stability of access road to the dam’s crest and calculates the value of FOS in process of instructing and exploitation of dam and estimating the possibility of landslide occurrence during excavations and impounding of the dam. To this end, analysis of the slope stability has been implemented based on the information obtained from the field inspections, investigations, geological surveys, manual and mechanical borings in laboratory and field experiments. For acquiring the value of factor of safety (FOS), an explicit-finite-difference code is implemented. Effects of excavations in different levels of slope and fluctuation of water table in instability of the slope have been analyzed. The outcomes reveal that through increasing the level of water, FOS is decreased and large amounts of soil were entered in the dam’s reservoir, blocking the entrance of the drainage valve and disrupt access way to the dam crest. Therefore, piles in the different distance have been used for controlling the slope stability and the best distribution of piles based on acceptable values for factor of safety in different regulations have been determined. It was observed that the excavation on the slope and increment of the water level in the dam reservoir influence the slope stability.

The interactions between oil prices and Borsa Istanbul sector indices

Abstract: This paper investigates the effects of the US crude oil prices (OIL) on some selected sub-sector indices of the Borsa Istanbul (BIST) including BIST-Chemical Petroleum, Plastic, (BIST-CHE), BIST-Textile-Leather (BIST-TEX), BIST-Metal Products, Machinery (BIST-MET), BIST-Transportation (BIST-TRS), BIST-Electricity (BIST-ELC), BIST-Food Beverage (BIST-FOB), BIST-Wood-Paper-Printing (BIST-WPP), and BIST-Wholesale and Retail Trade (BIST-WRT). We employ the vector fractionally integrated autoregressive moving average (VARFIMA) model to examine the linkages between the OIL and the selected sub-sector indices by using daily data between 1997 and 2012 including the recent global financial crises. Our results indicate that while the stock price series of some sub-sector indices are non-stationary, but mean-reverting, those of some others are non-stationary and non-mean reverting. The changes in the oil prices have permanent effects on itself and on the levels of the selected subsector indices. The empirical results show that oil prices and the selected sub-sector indices are significantly interconnected.

Artificial Intelligence Approaches to Estimate the Transport Energy Demand in Turkey

Abstract: In this study, eight parameters are selected and their historical data are collected to predict the future of the energy demand of Turkey. The initial eight parameters were the gross domestic product (GDP) of Turkey, average annual US crude oil price (COP), inflation for Turkey in percentages (INF), the population of Turkey, total vehicle travel in kilometers for Turkey, total amount of goods transported on motorways, employment for Turkey, and trade of Turkey. However, after these eight parameters data are analyzed using Pearson and Spearman correlation methods, it is found out that five of these parameters are highly correlated. The remaining three parameters are the GDP of Turkey, COP, and INF for Turkey. Afterward, five separate scenarios are developed to forecast the future of the energy demand of Turkey. The first two scenarios involve the third- and fourth-order polynomial fitting, the third and fourth scenarios employ static and recurrent neural networks, and the fifth scenario utilizes autoregressive models to predict the future energy demand of Turkey. The efficient hybridization of the seagull optimization and very optimistic method of minimization metaheuristic algorithms is carried out to achieve the polynomial fitting of the data. The optimization performance of the hybrid algorithm is assessed by applying the algorithm on benchmark optimization problems and comparing the results with that of some other metaheuristic optimizers. Moreover, it is seen that the forecasts of the first scenario agree well with the Ministry of the Energy and Natural Resources estimates.

WITHDRAWN: Behavioural factors on the adoption of sustainable supply chain practices

Abstract: The Publisher regrets that this article is an accidental duplication of a published article, https://doi.org/10.1016/j.resconrec.2020.104818 . The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal