Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Güler, Ömer(32)
- Akkurt, Nevzat(27)
- Tekin, H.O.(27)
- ALMisned, Ghada(24)
- Gul, Muhammet(20)
- Yucesan, Melih(14)
- Xu, Qian(12)
- Baykal, Duygu Sen(11)
- Güler, Seval Hale(11)
- Taşgın, Yahya(10)
- Kavaz, E.(9)
- Kilic, G.(8)
- Zengin, Gokhan(8)
- Durmus, Hasan(7)
- Guler, Omer(7)
- Xiong, Yaxuan(7)
- Yılmaz, Demet(7)
- Özkul, İskender(7)
- Yayla, Nihal(6)
- Zhang, Hui(6)
- Alkarrani, Hessa(5)
- Baloglu, Ulas Baran(5)
- Celik, Erkan(5)
- Du, Yanping(5)
- Ilik, E.(5)
- Kanca, M. Sait(5)
- Kök, Mediha(5)
- Mahomoodally, Mohamad Fawzi(5)
- Ortiz-Barrios, Miguel(5)
- Qiang, Yujie(5)
- Yang, Gang(5)
- Zakaly, Hesham M.H.(5)
- Aghakhani, S.(4)
- Basgoz, Oykum(4)
- Birdogan, Selcuk(4)
- Caprioli, Giovanni(4)
- Etli, Serkan(4)
- Guler, Seval Hale(4)
- Kahraman, Gökhan(4)
- Liu, Lin(4)
Yayınlar
- MakaleYalnız künye2020Scopus SJRQ1Assesment of the gamma and neutron shielding capabilities of the boro-tellurite glass quaternary containing heavy metal oxide using Geant4 and Phy-X/PSD database
Aşkın, A.
This survey was conducted to reveal the gamma and neutron stopping performance of the 30PbO–10ZnO—(60-x)TeO2—xB2O3 (x = 0, 10, 20, 30, 50% mole) glass quaternary. Gamma and neutron attenuation parameters including the linear attenuation coefficient (μ), transmission fraction (TF), half value layer (HVL), mean free path (MFP), effective atomic number (Zeff), exposure buildup factor (EBF) and fast neutron removal cross-section (∑R) were determined computationally using the Geant4 and Phy-X/PSD database tools and for photon energies ranging between 0.284 MeV and 2.510 MeV. It was found that increasing the B2O3 content from 0% to 50% mole and correspondingly decreasing the TeO2 content from 60% to 10% mole results in a degradation of μ by 18.2% and of Zeff by 28.6% at 0.284 MeV. Due to this decrease in μ and Zeff, the values of TF and HVL increased by 37.3% and 22.4% respectively. In the present study it was also observed that the density (ρ) of glass quaternary decreased with the decreasing content of TeO2, and that the density of glass has a remarkable effect on the photon attenuation characteristics. The Degradation of μ, Zeff, ρ and the increase of TF and HVL proves that the photon attenuation ability of the glasses investigated worsens with decreasing content of TeO2, as Tellurium's atomic number and atomic mass are high compared to those of boron. While the decrease of TeO2 weakens the photon attenuation performance, it was found that fast neutron attenuation increases as ∑R increases from 0.108 to 0.116 for the glass specimens containing 60% and 10% mole of TeO2 respectively.
AtıfScopus31WoS31OpenAlex33
İncele - MakaleYalnız künye2020Scopus SJRQ1Failures of masonry dwelling triggered by East Anatolian Fault earthquakes in Turkey
Yön, Burak; Onat, Onur; Emin Öncü, Mehmet; Karaşi̇n, Abdulhalim
Turkey is located on active fault zones such as the East Anatolian Fault (EAF), the North Anatolian Fault (NAF) and the Anatolian-Aegean Subduction Zone (AASZ). Ground seismicity activities of the NAF zone are relatively active compared with other faults. Eleven high-intensity earthquakes have been produced on this fault zone since 1939. Whereas the EAF zone was relatively quiescent in the last century, on the basis of historical records, destructive seismic activities occurred on the EAF zone in the last two decades. In this study, the rupture reason of faults, updated active fault data, and seismic maps are presented briefly. Moreover, failure reasons and failure mechanism of conventional masonry structures damaged from seismic ground motions on the EAF zone are evaluated in detail. Possible solutions are suggested on the basis of seismic codes. For this purpose, EAF-sourced earthquakes, i.e. 2003 Bingöl, 2010 Kovancılar (Elazığ), 2011 Maden (Elazığ), 2011 Tabanlı (Van) and Edremit (Van) hit in last two decades on this fault are investigated. Failures of conventional masonry buildings triggered from these earthquakes are assessed. Statistical evaluation, damage of earthquakes and failure pattern are deeply investigated and revealed. Eventually, one of the most significant reasons of severe damage or collapse to masonry structures due to this seismicity is the inability to construct the structures according to the requirements of seismic codes.
AtıfScopus41WoS39OpenAlex46İncele - MakaleYalnız künye2020Scopus SJRQ1Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment
Kayapinar Kaya, Sema; Erginel, Nihal
The interest of researchers and airport authorities towards sustainable airports is increasing day by day. Futuristic airport designs will be innovative in achieving sustainable development practices such as clean and affordable energy, protection of natural resources, waste reduction, natural features and green space around an airport, sustainable transportation system, natural storm water management of airports, etc. In classical Quality Function Deployment, crisp numbers are used to determine the priorities of the passenger requirements, design requirements, and their relationship matrix to evaluate airport quality. However, vagueness and impreciseness are inevitable uncertainties in those kinds of human judgments, which are generally realized by linguistic terms, and traditional Quality Function Deployment is not associated with “sustainability.” The main contribution of this paper is to present a new approach that integrates Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis and Hesitant Fuzzy Sustainable Quality Function Deployment method to enhance the sustainable airport quality. Hesitant fuzzy set theory reflects the hesitancy in human nature while making a decision to the fuzzy numbers, compared to other fuzzy set theories, such as traditional fuzzy sets, type-2 fuzzy sets, etc. In this study, the importance degrees of sustainable passenger requirements were evaluated by considering Hesitant Fuzzy Stepwise Weight Assessment Ratio Analysis in the first stage of Hesitant Fuzzy Sustainable Quality Function Deployment method. Then sustainable design requirement was prioritized to develop the sustainable quality management of the airport. Finally, a case study concerning the sustainable development of the airport was used to elucidate the feasibility and rationality of the proposed framework. The results obtained from the case study showed that Hesitant Fuzzy Sustainable Quality Function Deployment could be a practical and structural methodology in the early planning stage of a sustainable airport design.
AtıfScopus68WoS54OpenAlex74İncele - MakaleAçık Erişim2020Scopus SJRQ1Automated detection of COVID-19 cases using deep neural networks with X-ray images
Ozturk, Tulin; Talo, Muhammed; Yildirim, Eylul Azra; Baloglu, Ulas Baran; Yildirim, Ozal; Rajendra Acharya, U.
The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of China in December 2019, spread rapidly around the world and became a pandemic. It has caused a devastating effect on both daily lives, public health, and the global economy. It is critical to detect the positive cases as early as possible so as to prevent the further spread of this epidemic and to quickly treat affected patients. The need for auxiliary diagnostic tools has increased as there are no accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Application of advanced artificial intelligence (AI) techniques coupled with radiological imaging can be helpful for the accurate detection of this disease, and can also be assistive to overcome the problem of a lack of specialized physicians in remote villages. In this study, a new model for automatic COVID-19 detection using raw chest X-ray images is presented. The proposed model is developed to provide accurate diagnostics for binary classification (COVID vs. No-Findings) and multi-class classification (COVID vs. No-Findings vs. Pneumonia). Our model produced a classification accuracy of 98.08% for binary classes and 87.02% for multi-class cases. The DarkNet model was used in our study as a classifier for the you only look once (YOLO) real time object detection system. We implemented 17 convolutional layers and introduced different filtering on each layer. Our model (available at (https://github.com/muhammedtalo/COVID-19)) can be employed to assist radiologists in validating their initial screening, and can also be employed via cloud to immediately screen patients.
AtıfScopus2286OpenAlex2595
İncele - MakaleYalnız künye2020Scopus SJRQ2A comparative assessment of biological activities of Gundelia dersim Miller and Gundelia glabra Vitek, Yüce & Ergin extracts and their chemical characterization via HPLC-ESI-TOF-MS
de la Luz Cádiz-Gurrea, María; Zengin, Gokhan; Leyva-Jiménez, Francisco Javier; Fernández-Ochoa, Álvaro; Sinan, Kouadio Ibrahime; Cakilcioglu, Ugur; Babacan, Ebru Yuce; Mahomoodally, Mohamad Fawzi; Picot-Allain, Carene; Xiao, Jianbo
Plants from the Gundelia genus have been well appraised as both food and remedies. The members of the Gundelia genus are widely used as foods in several countries including Turkey. This study presents a comparative assessment of two poorly studied Gundelia species (G. glabra Miller and G. dersim Vitek, Yüce & Ergin). The effect of conventional (infusion, maceration, and Soxhlet extraction) and non-conventional (homogeniser and ultrasound assisted extraction) methods of extraction of bioactive secondary metabolites from the selected Gundelia species was also assessed. A total of 68 different compounds were detected by high-performance liquid chromatography coupled to electrospray ionization and time-of-flight mass spectrometry (HPLC-ESI-TOF-MS) technique. Non-conventional extraction techniques do not guarantee higher antioxidant activity. As such, G. dersim (91.27, 138.87, 182.28, and 125.65 mg TE [Trolox equivalent]/g dried extract, for 2,2-diphenyl-1-picrylhydrazyl (DPPH), 2,2′-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS), cupric reducing antioxidant capacity (CUPRAC), and ferric reducing antioxidant power (FRAP) assays, respectively).The highest α-glucosidase inhibition was recorded for the extracts obtained by ultrasonication. In the multivariate analysis, the extracts from Gundelia species were separated based on their biological activities. The presented findings could be one methodological starting point for designing novel products from two Gundelia species.
AtıfScopus12OpenAlex13İncele - MakaleYalnız künye2020Scopus SJRQ1The fabrication of bilayer polylactic acid films from cross-linked starch as eco-friendly biodegradable materials: Synthesis, characterization, mechanical and physical properties
Gürler, Nedim; Paşa, Salih; Hakkı Alma, M.; Temel, Hamdi
In this study, pure potato starch (PPS) was purified from waste potato residual to fabricate cross-linked bilayer materials with the casting method. Malonic acid (MA) was employed to get cross-linked material from PPS as PPS-MA. Then polylactic acid (PLA) was also implemented onto PPS and PPS-MA to produce bilayer materials as PPS-PLA and PPS-MA-PLA. The obtained these bilayer films were characterized by FTIR, XRD, and TGA. The mechanical and physical applications such as water vapor permeability, water uptake, moisture content, solubility, and opacity were investigated. The biodegradation calculations were also done by the process of composting. It has demonstrated that each application onto PPS increased the mechanical features. However, elongation wasn't seen during the breaking test of PPS and PPS-MA films, whereas the PPS-PLA and PPS-MA-PLA films demonstrated 9.34% and 10.14% elongation at break that substantiates the structural durability against rupture, fragmentation, and feeble. Furthermore, the water vapor permeability, water uptake, moisture content, and solubility decreased but the opacity has increased.
AtıfScopus70WoS64OpenAlex79İncele - MakaleYalnız künye2020Scopus SJRQ1Study on model uncertainty of water source heat pump and impact on decision making
Zhang, Ying; Akkurt, Nevzat; Yuan, Jiaqi; Xiao, Ziwei; Wang, Qianjiang; Gang, Wenjie
Water source heat pump systems are widely used for cooling and heating due to high efficiency. The energy source can be surface water or underground water. Accurate modeling of water source heat pump systems is the basis for performance prediction, design and control optimization. However, various heat pump models are available to predict the system performance and results obtained can be very different under different models due to the model uncertainty. Without considering these uncertainties, the performance of water source heat pump systems would be overestimated or underestimated and the decision making would be affected. This paper attempts to quantify the model uncertainty of water source heat pump and its impact on the system performance. Thirteen commonly-used models are selected and validated using the manufacture data. By importing these models into the water source heat pump system, the impact of heat pump model uncertainty on the system performance is quantified. It shows that the model uncertainty can result in a deviation of up to 30% in the annual energy consumption. The energy saving potential of water source heat pump systems can vary from -18.43% to 14.78% compared with the chillers & boiler in the hot summer and cold winter area. The priority of water source heat pump systems is also controversial. The difference in the annual average coefficient of performance of the system can be up to 1.22. It demonstrates that the model uncertainty of water source heat pumps affects the system performance significantly and should be taken into account in building energy prediction and design optimization. The models considering the correction of part load ratio are recommended.
AtıfScopus40WoS34OpenAlex45İncele - MakaleYalnız künye2020Scopus SJRQ1Techno-economic analyses of multi-functional liquid air energy storage for power generation, oxygen production and heating
Wang, Chen; Akkurt, Nevzat; Zhang, Xiaosong; Luo, Yimo; She, Xiaohui
Liquid air energy storage (LAES) is increasingly popular for decarbonizing the power network. At off-peak time, ambient air after purification is liquefied and stored; at peak time, the liquid air is discharged to generate power. One of the key challenges for the LAES system is the lower economic benefit as peak electricity is usually the only source of income, leading to a longer payback period of ~15 years. To address this issue, this paper, for the first time, proposes a multifunctional LAES system, which not only generates peak electricity but also provides pure oxygen and heating. The proposed system is composed of an air separation unit (ASU), a nitrogen liquefaction unit (NLU) and a power generation unit (PGU). Thermodynamic and economic analyses are carried out on the proposed system. Compared with the baseline LAES system (NLU + PGU), the multifunctional LAES system has a lower round trip efficiency of ~0.39 due to the extra electricity consumption by the ASU. However, it shows a much better economic performance with additional benefits from pure oxygen and heating. In a project life-span of 30 years, the multifunctional LAES system (10 MW/80 MWh) has a short payback period of ~5.7 years. Furthermore, it has a savings-to-investment ratio of 3.12, which is ~153% higher than that of the baseline LAES system. Investigation on the system operation strategy suggests that the ASU should operate at full time. The proposed system provides a feasible way to improve the economic benefits of the LAES system, thus promoting its wide applications.
AtıfScopus82OpenAlex86İncele - Derleme MakaleYayıncıda açık erişim2020Scopus SJRQ1Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Murat, Fatma; Yildirim, Ozal; Talo, Muhammed; Baloglu, Ulas Baran; Demir, Yakup; Acharya, U. Rajendra
Deep learning models have become a popular mode to classify electrocardiogram (ECG) data. Investigators have used a variety of deep learning techniques for this application. Herein, a detailed examination of deep learning methods for ECG arrhythmia detection is provided. Approaches used by investigators are examined, and their contributions to the field are detailed. For this purpose, journal papers have been surveyed according to the methods used. In addition, various deep learning models and experimental studies are described and discussed. A five-class ECG dataset containing 100,022 beats was then utilized for further analysis of deep learning techniques. The constructed models were examined with this dataset, and results are presented. This study therefore provides information concerning deep learning approaches used for arrhythmia classification, and suggestions for further research in this area.
AtıfScopus318OpenAlex328İncele - MakaleYalnız künye2020Scopus SJRQ1Carbon nanotube (CNT) reinforced magnesium matrix composites: The effect of CNT ratio on their mechanical properties and corrosion resistance
Say, Yakup; Guler, Omer; Dikici, Burak
In this study, mechanical properties and corrosion resistance of AZ61 and AZ91 magnesium matrix composites reinforced with 01, 0.2, and 0.5 wt% carbon nanotubes (CNTs) were investigated, detailly. CNTs have been successfully synthesized with 15–20 nm diameters by chemical vapor deposition (CVD) method and then, added to magnesium alloys by using the powder metallurgy (PM) technique. The composite compacts were consolidated by cold-pressing under 500 MPa pressure and sintered for 2 h at 500 °C under Ar atmosphere. The characterization studies of the unreinforced alloys and composites were carried out by scanning and transmission electron microscopes (SEM, TEM), electron dispersive spectroscope (EDS), Raman spectroscopy, and X-ray diffraction. The mechanical properties and corrosion behaviors of the composites have been compared with compression tests and potentiodynamic scanning (PDS) techniques, respectively. The results showed that the effect of CNTs reinforcement on strength increase was greater in AZ61 series samples than AZ91-based composites. The corrosion results of the presented study showed that the composites reinforced with lower CNTs (such as 0.1 or 0.2 wt%) and unreinforced alloys had better corrosion resistance than high CNTs (such as 0.5 wt%) containing structures. However, the most resistant structure to the corrosion for both AZ61 and AZ91 alloys were obtained in the composites reinforced with 0.2 wt% CNTs.
AtıfScopus109WoS85OpenAlex104İncele - MakaleAçık Erişim2020Scopus SJRQ1Geodynamic importance of the strike-slip faults at the eastern part of the Anatolian Scholle: Inferences from the uplift and slip rate of the Malatya Fault (Malatya-Ovacık Fault Zone, eastern Turkey)
Sançar, Taylan; Zabcı, Cengiz; Akçar, Naki; Karabacak, Volkan; Yeşilyurt, Serdar; Yazıcı, Müge; Serdar Akyüz, H.; Önal, Ayten Öztüfekçi; Ivy-Ochs, Susan; Christl, Marcus
Controversy remains over when present-day configuration of the Anatolia boundary faults came into existence, and the issue of what are the driving forces of the Anatolian westward motion. The NW-striking dextral and NE-striking sinistral second-order strike-slip faults at the eastern part of the Anatolian Scholle play a crucial role within these long-lasting discussions, and the NE-striking sinistral Malatya–Ovacık Fault Zone (MOFZ) is particularly important in this ongoing debate. Although the MOFZ is defined as one of the intra-plate structures, it has been proposed that it was an inter-plate fault between the Anatolia and Arabian plates from the latest Miocene to mid-Pliocene and that it has been inactive during the last ca. 3.5 Ma. This study provides results from the first morphochronology-based uplift and slip rate estimates on the Malatya Fault within the southern section of the MOFZ. The cosmogenic isochron burial and cosmogenic depth burial of ages from the sinistrally offset Tohma River remnant terraces enabled us to calculate 1.0 ± 0.01 and 1.12 ± 0.01 mm/yr minimum and maximum horizontal slip rates, respectively, for the last 1.4 ± 0.1 Ma. Furthermore, we conclude that the 96 ± 11 m/Ma mean uplift has been driven by the Malatya Fault. Integrated interpretation of the findings of this study and available data on both the MOFZ and other strike-slip faults at the eastern part of the Anatolian Scholle support the hypothesis that they are plate-boundary related active deformation belts that originated from paleotectonic structures during the tectonic escape of the Anatolian Scholle.
AtıfScopus20OpenAlex20İncele - MakaleYalnız künye2020Scopus SJRQ1Structural and catalytic properties of Fe3O4doped Bi2S3novel magnetic nanocomposites: P-Nitrophenol case
Kurnaz Yetim, Nurdan; Aslan, Naim; Koç, Mumin Mehmet
Catalytic properties of Bi2S3 nanostructures, Fe3O4 nanoparticles and novel Bi2S3@Fe3O4 magnetic nanocomposites were investigated. Flower-like Bi2S3 nanostructures were produced using hydrothermal synthesis. Bi2S3 nanostructures were doped with Fe3O4 nanoparticles where Bi2S3@Fe3O4 novel magnetic nanocomposites was obtained. Structural characterization of the nanoflowers were performed using X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS). Microscopic characterization of the nanoflowers was performed using electron microscopy where scanning electron microscope (SEM) and transmission electron microscope (TEM) were used in the characterization which confirms the flower like structures. Vibrating sample magnetometry (VSM) confirmed the magnetic properties of the ferromagnetic characteristics of the magnetic nanocomposites. Optic properties of the nanoparticles were assessed using Ultraviolet - visible (UV-vis) spectroscopy. Band gap energies of the Bi2S3, Fe3O4 and Bi2S3@Fe3O4 were found to be 1.80 eV, 2.0 eV and 2.72 eV, respectively. Catalytic properties of the Bi2S3@Fe3O4 nanoparticles were confirmed using UV spectroscopy where reduction of p-nitrophenol to p-aminophenol was assessed in the presence of NaBH4. It was concluded that Bi2S3 nanostructures and Bi2S3@Fe3O4 nanocomposites showed better catalytic performance than that of Fe3O4 nanoparticles. Such a case was attributed to increased surface area - volume ratio. Results indicate that nanocomposites have the potential to be used in the wastewater treatment.
AtıfScopus55WoS55OpenAlex56İncele - MakaleYalnız künye2020Scopus SJRQ1In-situ synthesis of 3D printable mono- and Bi-metallic (Cu/Ag) nanoparticles embedded polymeric structures with enhanced electromechanical properties
Aktitiz, İsmail; Varol, Remzi; Akkurt, Nevzat; Saraç, Mehmet Fahri
The interest of additive manufacturing with 3D printing increases day by day, which provides improved mechanical, electrical, magnetic and thermal properties of 3D parts. The production of 3D parts with the stereolithography (SLA) method, which allows it to be produced with high precision, resolution and complex geometries, distinguishes itself from other alternative additive manufacturing methods (FDM. SLS. LOM. LMD etc.). However, studies on the preparation of functional 3D polymer nanocomposites with the SLA method are quite limited. This study aims to produce silver (Ag) and/or copper (Cu) based 3D polymer nanocomposites for enhancing its mechanical strength, thermal stability and electrical conductivity. Mono and bimetallic (Cu/Ag) nanoparticles have been in-situ synthesized by selective irradiation of laser beam method using a commercial SLA device. In this method, metal (Cu/Ag) acrylate containing photocurable resin is not only cured but also leads to thermal decomposition of metal ions into nanoparticles to form functional 3D structures. The mechanical, electrical and thermal properties of polymer nanocomposites are characterized in detail. As a result of the analysis, the nanoparticles, with an average diameter of 25–55 nm, are well dispersed in the polymer matrix without agglomeration. The temperature at which 5% weight loss of Ag and Cu based polymer structures is measured as 179.3 °C while the glass transition temperature is found to be 223.81 °C. Most importantly, the resistance values are significantly decreased from 456.62 GΩ (Gigaohm) to 1.50 GΩ by increasing the amount of Ag addition at 3D polymeric structures. Therefore, this study allows the production of polymer nanocomposites not only in complex structures but also in desired properties especially for electrically conductive materials, capacitors and electronic applications.
AtıfScopus32WoS24OpenAlex33İncele - MakaleAçık Erişim2019Scopus SJRQ1Identification of optimum working conditions in hydroelectric power plants for cavitation
Kahraman, Gökhan; Yücel, Halit Lütfi; Taşgin, Yahya
Turbine faults in hydroelectric power plants not only reduce the operation time of the plant, but also cause a serious loss of income. One of the most important turbine faults is the turbine wheel wear caused by the cavitation and accordingly the other machine equipment faults which cause excessive vibration. In this study, cavitation intensity that the turbines have been exposed in operating conditions has been investigated. As a result of the calculations, optimum working conditions of the units have been determined with graphs obtained in various operating conditions. The obtained data can be easily applied to all hydroelectric power plants exposed to cavitation, and safe operating conditions can be determined.
AtıfScopus11WoS10OpenAlex13İncele - MakaleAçık Erişim2019Scopus SJRQ1Petrology and 40Ar-39Ar dating of paragneisses from the Devrekani Massif (Central Pontides, Northern Turkey): Implications for the Jurassic high-T metamorphism in an extensional tectonic environment
Gücer, Mehmet Ali; Arslan, Mehmet; Çimen, Okay; Sherlock, Sarah C.
The Devrekani Massif in the northern part of the Central Pontides (Northern Turkey) provides important clues to the regional tectonics and geodynamic processes associated with Jurassic high grade metamorphic conditions. This study reports new paragenetic assemblages, mineral compositions, whole-rock geochemistry and 40Ar-39Ar geochronological data from the paragneisses in the massif, and, discusses the P–T conditions and geodynamic implications of the Jurassic metamorphism during continental extension in the Central Pontides. Upper amphibolite to lower granulite facies paragneisses form one of the main lithological units in the massif. Within these, there are five different mineral parageneses with diagnostic mineral assemblages of: quartz, K-feldspar (An0-1Ab4-26Or73-96), plagioclase (An18-35), biotite [XPhl: 0.28–0.57; Mg/(Mg + Fe2+): 0.33–0.61], sillimanite, cordierite [Mg/(Mg + Fe2+): 0.48–0.71] and garnet (Alm43-80Grs0-18Prp5-23And0-4Sps10-33) with minor hercynite. Based on Na-in-Crd thermometry and GASP barometry results, the peak metamorphic conditions are 775 ± 25 °C and 6 ± 1 kbar in the massif. The field relations, petrography and bulk chemical data suggest that the paragneisses, derived from shale-wackestone and pelitic sedimentary protoliths, are typical rock lithologies of an active continental margin. They display enrichments in LILE over HFSE, coupled with negative Nb and Ti anomalies, which are geochemical signatures of subduction-related sources. It is likely that the peak metamorphism took place during the Middle–Upper Jurassic period (ca. 174–156 Ma), suggesting that the metamorphic rocks cooled to 300–350 °C at ca. 156 Ma. The mineral assemblages reveal that the prograde history passed from sillimanite zone conditions up to the cordierite-garnet-K-feldspar zone. The petrological and geochronological data indicate that the protoliths are related to multiple sources such as volcano-sedimentary successions. We conclude that the Devrekani Massif represents the products of pre-Jurassic sedimentation, and Permo-Carboniferous continental arc magmatism, overprinted by Jurassic metamorphism.
AtıfScopus9OpenAlex6İncele - MakaleYalnız künye2019Scopus SJRQ1Measuring development levels of NUTS-2 regions in Turkey based on capabilities approach and multi-criteria decision-making
Ozdemir, Yasal; Gul, Muhammet
Regional development seeks to better understand the issues and problems facing the regions because of the contemporary economic and social changes, including the formulation of territorial policies accordingly. In Turkey, in order to coordinate regional development, 26 regional development agencies were founded relating to the nomenclature of territorial units for statistics-2 (NUTS-2) regions. Since these regions have different development levels, it is useful for stakeholders to determine performance measures related to the regional development and propose a ranking model among these regions to provide a balance in delivering financial support mechanisms. Therefore, in this study, an iterative multi-criteria decision-making (MCDM) model is proposed. Firstly, Pythagorean Fuzzy Analytic Hierarchy Process (PFAHP) is used to assign weights to indicators of well-being index for provinces (WiP) in Turkey. Then, a TODIM (an acronym in Portuguese of interactive and multiple attribute decision making) based ranking model for 26 regions was applied. Also, this model takes capabilities and well-being approach into account differently from traditional utilitarian development models which take only some macro-economic and financial parameters. In order to do this, the model uses data from WiP. On conclusion, a comparative ranking projection with two other MCDM methods and WiP is provided and an effective and broader point of view was gained by the regional development performance measuring model.
AtıfScopus31WoS25OpenAlex34İncele - MakaleYalnız künye2019Scopus SJRQ1Supply-driven rebalancing of disassembly lines: A novel mathematical model approach
Mete, Suleyman; Çil, Zeynel Abidin; Celik, Erkan; Ozceylan, Eren
In recent years, the interest of disassembly line has increased owing to the economic reasons and increase of environmental awareness. The balancing of the disassembly line is one of the factors affecting directly the performance of the process. Companies with a line used effectively can gain many advantages in terms of economic aspect and it facilitates competition the companies with others. Moreover, uncertainties end-of-life products characteristics and quantity of supply/demand causes reassigned of task and altering cycle time. Rebalancing of disassembly line is required in this situation. In this study, a novel mixed integer programming model is proposed. Firstly, disassembly line balance is created, and then according to the given new supply, tasks are reselected and reassigned to the workstations. A real case study is presented. The generated test problems are also analyzed using proposed mathematical model. Through the analysis of rebalancing the existing disassembly line, it has been identified that an existing balance might have been changed to accommodate changes in the desired output rate in order to cope up with the variation of the cycle time.
AtıfScopus31WoS27OpenAlex31İncele - MakaleYalnız künye2019Scopus SJRQ1Risk evaluation and prevention in hydropower plant operations: A model based on Pythagorean fuzzy AHP
Yucesan, Melih; Kahraman, Gökhan
Hydropower generation facilities are becoming increasingly popular in many parts of the world. One of the main reasons for this situation is that the resource reserves such as coal, petroleum and natural gas, which are called conventional energy sources, decrease day by day and their prices rise. So the efficient operation of hydroelectric power plants has become very important. When these plants are operated, it is possible to cause many hazards, including injury, illness, death, damage to the environment, property and equipment. In this study, it is aimed to perform risk assessment for hydroelectric power plants using Pythagorean fuzzy Analytical hierarchy process (PFAHP) method. The team of experts has identified twenty hazards and their results that could occur in the operation of the hydroelectric power plant. The weights of the hazards were determined by using linguistic expressions. Preventive measures have been taken for the three most important hazards. The results of this study are expected to contribute to the safety of hydropower plants and the prevention of financial losses.
AtıfScopus143WoS123OpenAlex147İncele - MakaleAçık Erişim2019Scopus SJRQ1New insights into the chemical profiling, cytotoxicity and bioactivity of four Bunium species
Zengin, Gokhan; Paksoy, Mehmet Yavuz; Aumeeruddy, Muhammad Zakariyyah; Glamocilja, Jasmina; Sokovic, Marina; Diuzheva, Alina; Jekő, József; Cziáky, Zoltán; Rodrigues, Maria João; Custodio, Luisa
Bunium species have been reported to be used both as food and in traditional medicines. The scientific community has attempted to probe into the pharmacological and chemical profiles of this genus. Nonetheless, many species have not been investigated fully to date. In this study, we determined the phenolic components, antimicrobial, antioxidant, and enzyme inhibitory activities of aerial parts of four Bunium species (B. sayai, B. pinnatifolium, B. brachyactis and B. macrocarpum). Results showed that B. microcarpum and B. pinnatifolium were strong antioxidants as evidenced in the DPPH, ABTS, CUPRAC, and FRAP assays. B. brachyactis was the most effective metal chelator, and displayed high enzyme inhibition against cholinesterase, tyrosinase, amylase, glucosidase, and lipase. The four species showed varied antimicrobial activity against each microorganism. Overall, they showed high activity against P. mirabilis and E. coli (MIC and MBC <1 mg mL−1). B. brachyactis was more effective against Aspergillus versicolor compared to the standard drug ketoconazole. B. brachyactis was also more effective than both ketoconazole and bifonazole against Trichoderma viride. B. sayai was more effective than ketoconazole in inhibiting A. fumigatus. B. sayai was most non-toxic to HEK 293 (cellular viability = 117%) and HepG2 (cellular viability = 104%). The highest level of TPC was observed in B. pinnatifolium (35.94 mg GAE g−1) while B. microcarpum possessed the highest TFC (39.21 mg RE g−1). Seventy four compounds were detected in B. microcarpum, 70 in B. brachyactis, 66 in B. sayai, and 51 in B. pinnatifolium. Quinic acid, chlorogenic acid, pantothenic acid, esculin, isoquercitrin, rutin, apigenin, and scopoletin were present in all the four species. This study showed that the four Bunium species are good sources of biologically active compounds with pharmaceutical and nutraceutical potential.
AtıfScopus22OpenAlex23İncele - MakaleAçık Erişim2019Scopus SJRQ1Convolutional neural networks for multi-class brain disease detection using MRI images
Talo, Muhammed; Yildirim, Ozal; Baloglu, Ulas Baran; Aydin, Galip; Acharya, U Rajendra
The brain disorders may cause loss of some critical functions such as thinking, speech, and movement. So, the early detection of brain diseases may help to get the timely best treatment. One of the conventional methods used to diagnose these disorders is the magnetic resonance imaging (MRI) technique. Manual diagnosis of brain abnormalities is time-consuming and difficult to perceive the minute changes in the MRI images, especially in the early stages of abnormalities. Proper selection of the features and classifiers to obtain the highest performance is a challenging task. Hence, deep learning models have been widely used for medical image analysis over the past few years. In this study, we have employed the AlexNet, Vgg-16, ResNet-18, ResNet-34, and ResNet-50 pre-trained models to automatically classify MR images in to normal, cerebrovascular, neoplastic, degenerative, and inflammatory diseases classes. We have also compared their classification performance with pre-trained models, which are the state-of-art architectures. We have obtained the best classification accuracy of 95.23% ± 0.6 with the ResNet-50 model among the five pre-trained models. Our model is ready to be tested with huge MRI images of brain abnormalities. The outcome of the model will also help the clinicians to validate their findings after manual reading of the MRI images.
AtıfScopus276OpenAlex301İncele