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Book Part Citation - Scopus: 2Trace Element Containing Nano-HAp for Preventing Musculoskeletal Infections(Springer Science and Business Media B.V., 2021) Gizer,M.; Boyacıoğlu,Ö.; Korkusuz,P.; Korkusuz,F.Musculoskeletal infections are difficult to diagnose and rapidly reach the chronic phase that is difficult to treat. Osteomyelitis and septic arthritis are inflammatory musculoskeletal diseases and their recovery should contain bone or joint regeneration approaches. Nanometer-sized hydroxyapatite is the main inorganic component of the bone tissue that resembles its extracellular matrix. Nanometer-sized hydroxyapatite composite is also an efficient carrier for various regenerative molecules and medicine. Trace elements on the other hand enhance bone formation, mineralization and have antibacterial properties. Bioactivity, biocompatibility, and antibacterial properties of nanometer-sized hydroxyapatite can be gained and improved with trace elements such as zinc, boron, magnesium, strontium, and molybdenum. This chapter summarizes studies on the effects of zinc, boron, magnesium, strontium, and/or molybdenum-doped nanometer-sized hydroxyapatite that can be used to treat musculoskeletal infections. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Book Part Citation - Scopus: 1Understanding Digital Divide in English Language Classrooms: A Case Study on Its Causes, Effects, and Solutions(Springer Science and Business Media B.V., 2023) Yastıbaş,A.E.; Baturay,M.H.This chapter aims to help understand digital divide in English language classrooms by focusing on its causes, effects, and solutions. The present study was designed as a case study. Two Turkish EFL teachers participated in the study. The data were collected through a semi-structured interview and analyzed through content analysis. The findings of the present study have indicated that, according to the participants, there were two causes of digital divide in English language classrooms, digital divide could affect both EFL students and teachers generally negatively, and it could be handled with individual and social solutions. The findings of the present study were discussed. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Conference Object Citation - Scopus: 2Fiscal Sustainability From a Nonlinear Framework: Evidence From 14 European Countries(Springer Science and Business Media B.V., 2019) Hasdemir,E.; Omay,T.This study examines the fiscal sustainability of 14 European Union (EU) Member countries in the long run. For this purpose, a linear Augmented Dickey Fuller (ADF) and a variety of nonlinear univariate unit root tests are applied to the debt-to-GDP series of the 14 EU Member countries; Belgium, Czech Republic, Denmark, Finland, France, Greece, Hungary, Italy, Netherlands, Poland, Portugal, Romania, Slovakia and Sweden. In addition to that, the nonlinear unit root tests applied in this study are classified according to the source of nonlinearities: (i) time dependent nonlinearity (structural break(s)), (ii) state dependent nonlinearity and (iii) hybrid nonlinearity. Thus, the nonlinearities and their sources in data generating process of debt-to-GDP series of every country can be determined. The findings of this study show that the null of linear unit root cannot be rejected for none of the countries by applying linear ADF whereas it can be rejected as a result of nonlinear unit root tests for considerable number of countries, i.e. 11 out of 14 countries exhibit time dependent nonlinearity, 6 out of 14 exhibit state dependent nonlinearity and 10 out of 14 exhibit hybrid nonlinearity in their relevant data. So, the source of nonlinearities in the relevant data differs according to the country. That is, for testing the fiscal sustainability, the nonlinearities in the data need to be taken into account. Ignoring the nonlinearities in the testing procedure can lead misleading results in the decision of fiscal sustainability in the long run. © 2019, Springer Nature Switzerland AG.Conference Object Forecasting Direction of Bist 100 Index: an Integrated Machine Learning Approach(Springer Science and Business Media B.V., 2021) Ünlü,K.D.; Potas,N.; Yılmaz,M.In recent years trends in analyzing and forecasting financial time series moves from classical Box-Jenkins methodology to machine learning algorithms because of the non-linearity and non-stationary of the time series. In this study, we employed a machine learning algorithm called support vector machine to predict the daily price direction of BIST 100 index. In addition, we use random forest algorithm for feature selection and showed that by removing some features from the model, performance of the model increases. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Article Minimization of Greenhouse Effects by Optimal Plankton Feeding: A Simulation-Based Study(Springer Science and Business Media B.V., 2025) Doruk, R.O.Global warming and related greenhouse effects possess significant threats to environmental sustainability. This research investigates the possibility of reducing the greenhouse gas levels and associated ambient temperature by manipulating the plankton population in a given forecasting period. To achieve this goal, an optimal control strategy is developed by Pontryagin’s minimum principle, and it is applied to a recently derived nonlinear marine ecosystem model describing the variation of greenhouse gas levels, ambient temperature, and fish interactions. The main goal is to determine an external plankton generation profile that is expected to reduce the greenhouse gas levels and associated ambient temperature to the highest possible extent. The simulation results reveal that the optimal feeding strategy enables one to achieve a reduction of 54% in greenhouse gas levels and 95% in the associated ambient temperature. This research proposes a biological-based novel control approach that can serve as an alternative solution to environmental degradation. © 2025 Elsevier B.V., All rights reserved.Article The Great Kapok Tree Growing With Turkish Children: A Kincentric "Writing Project(Springer Science and Business Media B.V., 2025) Hastürkoğlu, G.Environmental problems, increasingly felt on a global scale, have necessitated environmental education from a very young age, a vital component of sustainable development efforts. As an integral part of this education, environmental children’s literature, especially picturebooks, can give young children the necessary knowledge, cultivate environmental awareness, help develop sustainable behavioral patterns, and increase environmental literacy. In a similar vein, translated picturebooks can create comparable impacts through intentional translational strategies adopted by all translation agents involved in the process. Approaching translation as a writing project, this study aims to explore how the Turkish translation of the environmental picturebook, The Great Kapok Tree, can help foster a kincentric worldview through adding and omitting semiotic modes in the target text and analyze how these changes may transform and potentially enhance or diminish environmental messages in the translated version. The findings reveal the efficacy of the translator’s and other translation agents’ active involvement in the translation process by framing the translation as a writing project that can reshape the source text to achieve environmental and educational goals. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.Conference Object Asymmetric Effects of Credit Growth on the Current Account Balance: Panel Data Evidence(Springer Science and Business Media B.V., 2019) Ekinci,M.F.; Omay,T.Expanding current account balances (both surpluses and deficits) prior to the global economic crisis dominated academic and policy debates over the past decade. Understanding the role of credit growth on the current account balance has become a priority particularly with the rebalancing experience in the post-crisis period. In this study, we adopt a comprehensive framework by constructing an empirical model that accommodates asymmetric adjustments of current account balance to the changes in the total and household credit growth. We consider the asymmetric effects in two dimensions. When we discriminate between credit expansion and contraction episodes, our results show that credit growth has a stronger negative impact on the current account balance during credit expansion periods. Furthermore, negative effects of total and household credit growth on the current account balance are more pronounced during current account deficit episodes. © 2019, Springer Nature Switzerland AG.Review Citation - Scopus: 16Thermal structure of the Cappadocia region, Turkey: a review with geophysical methods(Springer Science and Business Media B.V., 2019) Aydemir,A.; Bilim,F.; Kosaroglu,S.; Buyuksarac,A.This study is a review paper collecting all previous investigations on the thermal structure and the geothermal potential of the Cappadocia region. The main purpose of this review is to reveal the geothermal potential of the research area and stimulate the geothermal exploration. The scientific objective of this paper is to present a compilation of previous studies on the thermal behavior of the crust in the Cappadocia region and to indicate the geothermally prospective areas in the region. Authors of this study commenced the search of potential geothermal areas in Turkey using the aeromagnetic anomalies, starting from the Central Anatolia. They initiated the investigations of shallow crustal structure of Cappadocia, first and determined recently formed depressions down to 2 km. In the second stage of these research activities, detailed CPD calculations were performed and mapped throughout Cappadocia. They found an elliptical shallow CPD anomaly up to 7 km where the geothermal gradient is obtained as 68 °C/km in the apex of the anomaly. In connection with these values, heat flows were estimated up to 210 mW/m, while the radiogenic heat production is being observed as maximum of 0.70/μWm in this area. These calculations are different and more encouraging than the general regional heat-flow map of Turkey calculated previously from the hot springs and bottom-hole temperatures of shallow wells. A possible magma chamber beneath the caldera-like circular depression between Nevsehir–Aksaray–Nigde–Yesilhisar cities is thought to be the main reason for high heat flow and high geothermal gradient in association with the young volcanism in and around Cappadocia. Due to lack of reservoir units, hydrothermal–geothermal energy possibility is not expected in this region. On the other hand, large anomalous area between Nigde, Aksaray and Nevsehir presents very high hot dry rock (HDR) energy potential which is considered as the most prospective geothermal energy type in the future. © 2019, Springer Nature Switzerland AG.Conference Object Nonlinearity in Emerging European Markets: Pre and Post Crisis Periods(Springer Science and Business Media B.V., 2019) Aktan,C.; Omay,T.Investigating the efficiency of emerging markets has been a popular research trend in the past decade, showing implications on both the economy and the policies of the countries in question. Market efficiency, in other words, informational efficiency, states that if markets are fully efficient, then all information is instantly reflected the prices of stocks. However, there are many arguments for and against this theory, especially on the discussions of the 2008 Global Financial Crisis. These past studies are seen to be showing mixed results. It is important the note that there is a nonlinear movement among the stock prices within stock markets and this needs to be incorporated in the tests that are used to measure their efficiency in order to obtain more accurate results. Therefore, in this study, we have tested the weak form efficiency of the emerging markets located in Europe, namely, Czech Republic, Greece, Hungary, Poland, Turkey, and Russia. Effects of the 2008 Global Financial Crisis were put forward by taking two different time periods (Pre: November 2005–September 2008 and Post: October 2008–February 2019—Crisis) and applying newly developed nonlinear unit root tests. Results of the study supported previous research and showed that the efficiency of most markets changed in the post-crisis period from efficient to inefficient. © 2019, Springer Nature Switzerland AG.
