Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(86)
- Güler, Ömer(69)
- Akkurt, Nevzat(68)
- Baskonus, Haci Mehmet(53)
- Tekin, H.O.(52)
- Bulut, Hasan(50)
- ALMisned, Ghada(49)
- Serdar, Osman(43)
- Yucesan, Melih(43)
- Paksoy, Mehmet Yavuz(42)
- Yildirim, Numan(41)
- Zengin, Gokhan(40)
- Yildirim, Nuran Cikcikoglu(39)
- Ince, Muharrem(37)
- Kocabaş, Mehmet(37)
- Celik, Erkan(35)
- Benzer, Fulya(33)
- Sulaiman, Tukur Abdulkadir(29)
- Aslan, Naim(27)
- Can, Erkan(27)
- Kutlu, Banu(27)
- Kök, Mediha(27)
- Tanyol, Mehtap(27)
- Danabas, Durali(26)
- Kutluyer, Filiz(26)
- Özkul, İskender(26)
- Ates, Mehmet(25)
- Yildirim, Ozal(25)
- Onat, Onur(23)
- Topal, Murat(23)
- Demir, Veysel(22)
- Erten, Fusun(22)
- Guler, Omer(22)
- Say, Yakup(22)
- Yaman, Mehmet(22)
- Alataş, Mevlüt(21)
- Güler, Seval Hale(21)
- Çimen, Okay(21)
- Baykal, Duygu Sen(20)
- Mete, Suleyman(20)
Yayınlar
- MakaleYalnız künye2024Scopus SJRQ2A Study on Comprehensive Production Parameters of Boron Nitride 2D Nanomaterial
Güler, Seval Hale; Safa, Hasan
In this study, BNNSs were synthesized via liquid-phase exfoliation method. Hexagonal boron nitride powders were used as the starting material. The production of boron nitride nanosheets was optimized. For this purpose, different sonication parameters and the effects of different solvents have been investigated. Different sonication power and time parameters of the homogenizer (Sonics Vibra-cell VCX, 750 W) used as the sonication parameter have been changed. In this stage, they were subjected to sonication process first for 1-1.5-2 hours at 25% sonication power, 1-1.5-2-4 hours at 50% sonication power, and 1-1.5-2-4-6-8 hours at 75% sonication power. As a result of particle size analysis, time/sonication power parameters were determined as 2 h-75%, 2 h-50%, 4 h-75%, 2 h-50%. The obtained samples were sedimented with centrifuge process, washed with distilled water to remove solvent, and dried. Different solvents were compared in the best power–time relationship. These solvents are dimethylformamide (DMF), isopropyl alcohol, N-methyl pyrrolidone, ethylene glycol. The best results were obtained in DMF. The synthesized BNNS samples were subjected to particle size (Malvern), scanning electron microscope (Zeiss, Gemini Supra 55), transmission electron microscope (Jeol Jem-1011), Fourier transform infrared spectroscopy (Thermo Scientific Nicolet™ iS™ 5), Raman (WITech alpha 300R), x-ray photoelectron spectroscopy (Specs-Flex), and x-ray diffraction analysis (PANalytical Empyrean).
- MakaleAçık Erişim2024Scopus SJRQ2Hybrid Deep Learning Model for Earthquake Time Prediction
Utku, Anıl; Akcayol, Muhammet Ali
Earthquakes are one of the most dangerous natural disasters that have constantly threatened humanity in the last decade. Therefore, it is extremely important to take preventive measures against earthquakes. Time estimation in these dangerous events is becoming more specific, especially in order to minimize the damage caused by earthquakes. In this study, a hybrid deep learning model is proposed to predict the time of the next earthquake to potentially occur. The developed CNN+GRU model was compared with RF, ARIMA, CNN and GRU. These models were tested using an earthquake dataset. Experimental results show that the CNN+GRU model performs better than others according to MSE, RMSE, MAE and MAPE metrics. This study highlights the importance of predicting earthquakes, providing a way to help take more effective precautions against earthquakes and potentially minimize loss of life and material damage. This study should be considered an important step in the methods used to predict future earthquakes and supports efforts to reduce earthquake risks.
AtıfScopus6WoS5TR Dizin4
İncele - MakaleAçık Erişim2024Scopus SJRQ1A comprehensive microstructural and transmission analysis on oxide dispersion-strengthened (ODS) alloys: Impact of erbium oxide (Er2O3) concentration on physical, structural, gamma-ray, and neutron attenuation properties
Günoglu, Kadir; Güler, Seval Hale; Güler, Ömer; ALmisned, Ghada; Ozkavak, Hatice Varol; Albayrak, M. Gokhan; Akkurt, Iskender; Issa, Bashar; Tekin, H.O.
This study explores the impact of integrating varying concentrations of Erbium Oxide (Er2O3) into Oxide Dispersion Strengthened (ODS) alloys, specifically focusing on gamma-ray and neutron attenuation properties. Utilizing a 316L stainless steel matrix, Er2O3 was methodically incorporated in concentrations ranging from 1 % to 21 % by weight. The structural and radiation attenuation properties of the resultant alloys were comprehensively analyzed using techniques such as X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and experimental gamma-ray transmission studies. The results demonstrate a significant enhancement in gamma-ray shielding with increased Er2O3 content. This enhancement is quantitatively evidenced by increased linear attenuation coefficient, elevated effective Electron Density (Neff), reduced Half-Value Layers (HVL), and higher effective atomic numbers (Zeff). These findings are crucial for nuclear applications where efficient gamma-ray shielding is paramount. Conversely, a decrease in the effective removal cross section (ΣR) for neutron attenuation was observed with higher Er2O3 concentrations. This suggests a potential compromise in neutron shielding efficiency, attributed to the dilution of neutron-absorbing base elements in the alloy. Additionally, the study reveals notable changes in the microstructural properties of the alloys, including alterations in particle size, distribution, and agglomeration, influenced by varying Er2O3 concentrations. In conclusion, this research provides valuable insights into the design of ODS alloys for nuclear radiation shielding, highlighting the balance between gamma-ray attenuation and neutron shielding properties. The study's findings contribute to the development of advanced materials for safer and more efficient nuclear technology applications.
AtıfScopus20OpenAlex25İncele - MakaleYayıncıda açık erişim2024Scopus SJRQ1Revisiting the depositional age and provenance characteristics of metasedimentary rocks from the basement units in the Central Pontides (N Turkey): New constraints for tectonic evolution of the southern Black Sea region
Çimen, Okay; Ali Gücer, Mehmet; Akal, Cüneyt; Cemal Göncüoğlu, Mehmet; Arslan, Mehmet; Simonetti, Antonio; Karaoğlan, Fatih
The pre-Jurassic tectonic evolution of the Central Pontides in northern Turkey is still poorly understood due to the lack of detailed geochemical and geochronological data from the basement units. Therefore, this study reports for the first time combined whole rock geochemistry, trace element data and U-Pb ages for detrital zircons, and Ar-Ar geochronological data from the metasedimentary rocks of the Devrekani Massif, Geme Complex, and the Serveçay Unit to better understand their provenance, depositional age characteristics, and tectonic evolutions. The detrital zircon U-Pb data of metasedimentary units from the Devrekani Massif, Geme Complex, and the Serveçay Unit yield ca. 191, 185 and 298 Ma maximum depositional ages (youngest age peaks), respectively. The Devrekani Massif is dominated by Permo-Carboniferous-aged detrital zircons (67 %), whereas Neoproterozoic and Devonian-aged detrital zircons are more common in the Geme Complex (47 %) and the Serveçay Unit (53 %). These distinct age distributions clearly indicate that the Devrekani Massif may has been deposited in a dissimilar location compared to the Geme Complex and the Serveçay Unit. Furthermore, in contrast to the Devrekani Massif, the source area of the metasedimentary rocks from the Geme Complex is comparable with that of the Serveçay Unit. Lastly, the obtained detrital zircon U-Pb and mica Ar-Ar ages suggest that the Devrekani Massif and the Geme Complex were deposited and metamorphosed during the Early and Middle Jurassic, respectively. The Serveçay Unit was deposited and metamorphosed in the Permian.
AtıfScopus5İncele - MakaleAçık Erişim2024Scopus SJRQ2Detection of Threats to Farm Animals Using Deep Learning Models: A Comparative Study
Korkmaz, Adem; Agdas, Mehmet Tevfik; Kosunalp, Selahattin; Iliev, Teodor; Stoyanov, Ivaylo
The increasing global population and environmental changes pose significant challenges to food security and sustainable agricultural practices. To overcome these challenges, protecting farm animals and effectively detecting potential environmental threats is critical for economic and ecological sustainability. In this context, the current study examined the animal detection capabilities and efficiency of advanced deep learning models, such as YOLOv8, Yolo-NAS, and Fast-RNN, across a dataset of 2462 images encompassing various animal species that could pose a risk to farm animals. After converting the images into a standardized format, they were divided into three sets for training, validation, and testing, and each model was evaluated on this dataset during the analysis process. The findings indicated that the YOLOv8 model demonstrated superior performance, with 93% precision, 85.2% recall, and 93.1% mAP50 values, while Yolo-NAS was particularly noteworthy for its high recall value, indicating a remarkable detection ability. The Fast-RNN model also offered significant efficiency with balanced performance. The results reveal the considerable potential of deep learning-based object detection technologies in protecting farm animals and enhancing farm security. Additionally, this study provides valuable insights for future model optimization and customization research.
AtıfScopus9WoS7OpenAlex7İncele - MakaleAçık Erişim2024Scopus SJRQ2A novel convolutional neural network model with hybrid attentional atrous convolution module for detecting the areas affected by the flood
Şener, Abdullah; Doğan, Gürkan; Ergen, Burhan
Natural disasters are sudden and unexpected events that occur as a result of natural processes and often have a significant impact on people, animals, and plants, often resulting in material and emotional losses. Two of the most devastating disasters are floods and tsunamis. After these disasters, search and rescue operations to identify flooded areas are very important to save the lives of affected people and to ensure the health and safety of rescue workers. In this study, a novel semantic segmentation model called Flood Area Segmentation Network (FASegNet) was proposed to guide search and rescue teams in disaster areas to speed up search and rescue operations after natural disasters such as floods, high tides, and tsunamis. The obtained results were compared with common image segmentation models used in various fields. It was found that the developed model achieved higher accuracy rates with fewer parameters. When tested with the "Flood Area" and "Water Body" datasets without pretraining and data augmentation, FASegNet achieved mIoU accuracy of 84.3% and 84.5% respectively.
AtıfScopus23WoS21OpenAlex23İncele - MakaleYalnız künye2024Scopus SJRQ3Tribological properties of the multilayer thin films deposited on the free-form shaped Ti13Nb13Zr alloy
Aslan, Ali Kemal; Bahçe, Erkan
Surface coating processes are carried out to increase the wear and corrosion resistance of products with free-form surfaces used in the biomedical field. In this study, Ti/TiN/TiC/TiCN/TaN multilayer thin films were deposited on the surface of Ti13Nb13Zr alloy samples with different radii of curvature using the closed-field unbalanced magnetron sputtering technique. The wear and adhesion properties of thin films were examined with a specially developed wear test setup, in a simulated body fluid environment and an ultra-high molecular weight polyethylene (UHMWPE) counterpart was used. Scanning electron microscope and X-ray diffraction measurements were used to study the morphology and microstructure of the thin films before and after wear experiments. The delamination amounts of the coatings on the sample surfaces after the wear test were measured and this value was calculated as 8.73%, 12.16%, and 16.89% for the R14, R18, and R22 samples, respectively. As a result of these findings, it was determined that the wear resistance of the coatings decreased as the radius of the curvature increased. The wear amounts of the UHMWPE components are found as 15.45, 6.75, 8.15, 15.45, 6.75, and 8.15 mg for P0, P14, P18, and P22 samples, respectively.
- MakaleYalnız künye2024Scopus SJRQ2Leading and lagging role between financial stress and crude oil
Gençyürek, Ahmet Galip
Purpose: The crude oil market plays a key role in addressing the issue of energy economics. This paper aims to detect the causality relationship between the crude oil market and economy based on the financial system. Design/methodology/approach: This paper used the static and dynamic Hatemi-J Bootstrap Toda–Yamamoto and Diebold–Yilmaz connectedness index. The Hatemi-J Bootstrap Toda-Yamamoto approach allows researchers to use nonstationary data and that method is robust to nonnormal distribution and heteroscedasticity. The Diebold–Yilmaz connectedness index model provides researchers to detect the power of connectedness besides linkage direction. The analyzed period is the span from January 3, 2005 to October 3, 2022. Findings: The results show bidirectional causality in the full sample but unidirectional causality before and after the 2008 financial crisis. During the 2008 financial crisis period and the COVID-19 period, there was a bidirectional and unidirectional causality, respectively. The connectedness approach indicates that the crude oil market affects financial stress through investors’ risk preferences. Research limitations/implications: The Diebold–Yilmaz spillover index model is based on vector autoregression methods with a stationarity precondition. However, some of the five dimensions that constitute the financial stress index (FSI) are nonstationary in level. Therefore, the authors takes the first difference of the nonstationary data. Practical implications: The linkage between the crude oil market and the FSI provides useful information for investors and policymakers. For instance, this paper indicates that an investor wanted to forecast future value of the crude oil (financial stress) should consider the current and past values of financial stress (crude oil). Moreover, policymaker should consider the crude oil market (FSI) to make a policy proposal for financial system (crude oil market). Originality/value: Recently, indicators of economic activity levels (economic policy uncertainty, implied volatility index) have begun to be considered to analyze the relationship between energy and the economy but very little is known in the literature about the leading and lagging roles of data in subsample periods and the linkage channel. The other originality of this research is using the new econometric approaches.
AtıfScopus4WoS5OpenAlex3İncele - MakaleAçık Erişim2024Scopus SJRQ2A comparison of the performance of different innovative trend assessment approaches for air temperature and precipitation data: an application to Elazığ Province (Turkey)
Acar, Ramazan
In this study, the temporal variability of monthly total precipitation and monthly average temperature data of Palu station were analyzed. In addition to statistical analysis such as Mann–Kendall (MK) and SR, innovative polygon trend analysis (IPTA), innovative trend analysis (ITA), and combination of Wilcoxon test and scatter diagram (CWTSD) methods were used in the study. A total of 24 trend analyses (for 12 months of precipitation and temperature data) were conducted for each method used for temperature and precipitation parameters in the study. Look-ing at the results of these methods, a decreasing trend was detected only in December for precipitation data, common to all methods. For temperature data, an increasing trend was detected only in February and March. With the application of the IPTA, an increasing trend in some months and a decreasing trend in other months were detected for the two parameters. The Wilcoxon test exhibits significant consistency with the MK and Spearman's Rho (SR) in terms of the statistical trend, according to the examination of temperature and precipitation data using the CWTSD approach, which is relatively recent. Furthermore, the visual trend analysis demonstrates high consistency between the NO-ITA and Sȩn-ITA approaches.
AtıfScopus23WoS20OpenAlex34İncele - MakaleYalnız künye2024Scopus SJRQ1Exploring Disposal Efficiency of COD, NH3-N, and Turbidity in Diluted Real Leachate Using Ti/PdO-CoO Electrodes in an Electrooxidation Cell: An Investigation into Oxidation Mechanism and Reaction Kinetics Studies
Ogedey, Aysenur; Oguz, Ensar
Highlights Optimum disposal efficiency for turbidity was 96.5 at 10 mM NaCI. Optimum disposal efficiency for COD was 60.5% at 10 mM NaCI. Optimum disposal efficiency for NH3-N was 64.9% at 10 mM NaCI. Turbidity, NH3-N, and COD disposal fitted PFO model due to high R2 values. The Ti/PdO-CoO electrode has a stability of 96 h.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2024Scopus SJRQ2Energy-Momentum distributions of cylindrical black hole in rainbow gravity
Korunur, Murat; Korunur, Sibel
In this study, the energy-momentum localization problem is addressed within the framework of rainbow gravity. Considering the black string black hole, one of the cylindrical black hole models, energy-momentum distributions are obtained for Einstein, Bergmann-Thomson, and Landau-Liftshitz prescriptions in rainbow gravity. All prescriptions' energy densities are non-zero and depend on the rainbow functions, while the momentum distributions are zero. It has been observed that space-time energy does not depend on the energy of the test particle for some particular choices of rainbow functions. The results obtained for all special cases are given in a table.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ1Optimization and Kinetic Study of Manganese Leaching from Pyrolusite Ore in Hydrochloric Acid Solutions with Oxalic Acid
Karacahan, Mehmet Kayra
The leaching behavior of pyrolusite minerals was examined in hydrochloric acid solutions, including oxalic acid, to evaluate the influence of various experimental conditions. The optimum parameters for the leaching process were found in the first stage, and the process's kinetics were assessed in the second. The concentrations of oxalic acid, hydrochloric acid, and temperature were chosen as independent variables in the optimization experiments, with the central composite design used to analyze the experimental data. The optimum concentrations for oxalic acid, hydrochloric acid, and temperature were determined to be 0.75 mol/L, 1.2 mol/L, and 60 °C, respectively. The leaching rate was determined to be 97.4% for 120 min of response time in optimum situations. The kinetic assessment experiments studied the effects of solid/liquid ratio, particle size, stirring speed, and temperature on the manganese leaching rate from pyrolusite. In the studies, the leaching rate was shown to rise with increasing temperature and stirring speed, as well as with decreasing particle size and solid/liquid ratio. The kinetic analysis revealed that the leaching kinetics matched the mixed kinetic model, and a mathematical model for the leaching process was developed. This process's activation energy was determined to be 29.05 kJ/mol. Graphical Abstract: (Figure presented.)
AtıfScopus17WoS15OpenAlex18İncele - MakaleYalnız künye2024Scopus SJRQ1Sustainable use of boron waste and volcanic scoria in slag-based self-compacting alkali-activated mortars: fresh, mechanical and durability properties
Yön, Merve Şahin; Yön, Burak; Karataş, Mehmet; Benli, Ahmet
Sustainable self-compacting alkali-activated concrete (SCAAC) manufacturing is an environmentally friendly concrete that has a reduced carbon footprint than ordinary concrete. Alkali-activated binders have been demonstrated in experiments to reduce concrete's energy consumption and carbon emissions by over 50%. This paper focuses on manufacturing boron waste (BW), volcanic scoria (VS) and ground blast furnace slag (GBFS) incorporated binary and ternary blends of self-compacting alkali-activated mortars (SCAAM). The main objective of this study is to investigate the fresh, mechanical, durability and microstructural properties of SCAAM based on binary and ternary mixtures of BW, VS, and GBFS. SCAAM samples were synthesized at 60 °C and 100 °C for 72 h then exposed to ambient cured at 3, 28 and 90 days. The compressive strength, flexural strength, physical, and sorptivity properties of the SCAAM mixtures, as well as flowability, were investigated. The performance of the produced blends at freeze-thaw exposure were also examined. SEM, and EDS was also used to examine the microstructures of the mixtures. The findings showed that 50% GBFS and 50%VS based SCAAM mixture heat cured at 100oC activated with NS/NH ratio of 3.0 produced a compressive strength of 40 MPa at 90 days. The findings indicated that inclusion of BW to the SCAAM mixtures decreased the compressive strength notably regardless of NS/NH ratio and curing temperature. Inclusion of BW also affected the durability performance negatively.
AtıfScopus38WoS36OpenAlex35İncele - MakaleYalnız künye2024Scopus SJRQ3Ochratoxin a levels in Turkish coffee: a probabilistic health risk assessment via Monte Carlo simulation
Sevim, Sumeyra; Macit, Arife; Kizil, Mevlude
Throughout history, Turkish coffee has been the most widely consumed type of coffee in Turkey. Therefore, the goal of this study was to determine the amount of ochratoxin A (OTA) present in Turkish coffee and to analyze any potential health hazards. A total of 41 Turkish coffees were collected and analyzed for OTA activity using a competitive enzyme immunoassay (ELISA). Furthermore, dietary exposure and health risk assessments for the Turkish population were calculated based on analytical results and coffee consumption data from the Turkish Nutrition and Health Survey 2019 (TNHS-2019) in three age categories (15–18, 19–64, and 65 + years). Nine of the samples contained more than 2.5 μg/kg OTA, with an average of 5.24 μg/kg. The OTA concentration in 3 samples exceeded the permissible maximum limit (5 μg/kg) established by Turkish legislation, and the mean concentration was 8.41 μg/kg. A margin of exposure (MOE) approach was used for risk characterization, considering both non-neoplastic and neoplastic consequences. There were no concerns about health risks because MOEs were more than 10,000 for all categories. Although the levels of OTA analyzed in Turkish coffee did not pose a risk to individuals in the three age categories, emphasis should be placed on minimizing and controlling OTA concentrations in Turkish coffee. Additionally, it is also necessary to consider other food sources that could contribute to OTA exposure.
AtıfScopus2WoS2OpenAlex2
İncele - MakaleYalnız künye2024Scopus SJRQ2A study of mixed super quasi-Einstein manifolds with applications to general relativity
Vasiulla, Mohd; Ali, Mohabbat; Ünal, İnan
In this paper, we explore a set of geometric properties of Mixed Super Quasi-Einstein (MSQE) manifolds and provide examples of both Riemannian and Lorentzian MSQE manifolds to demonstrate their existence. Furthermore, we examine MSQE spacetimes in the context of the space-matter tensor, discussing several related properties. Finally, we establish the existence of an MSQE spacetime through a nontrivial example.
AtıfScopus3WoS4OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ2New national and regional bryophyte records, 76
Ellis, L.T.; Afonina, O.M.; Alataş, M.; Alia, H.B.M.; Alvarez, J.; Aponte Rojas, A.M.; Atwood, J.J.; Bacilliere, G.; Batan, N.; Biberdžić, V.
AtıfScopus12OpenAlex12İncele - MakaleAçık Erişim2024Scopus SJRQ2Photodetector performance analysis of a hybrid MnPc/DLC device with high photoresponsivity, sensitivity, and On/Off ratio
Unal, Fatih; Aktas, Sitki; Kurt, Mustafa Sukru; Koc, Mumin Mehmet; Coskun, Burhan; Aslan, Naim; Arslan, Tayfun; Gur, Mahmut
The fabrication and characterization of high-performance devices for optoelectronic applications, particularly their response to incident light, are crucial. In this study, a MnPc/DLC device was fabricated using thermal evaporation and magnetron sputtering techniques, and its fundamental optoelectronic properties were characterised. Key diode parameters including barrier height, ideality factor, reverse saturation current, series resistance, and shunt resistance were determined using several methods, such as TE, Ohm's Law, the modified Norde method, and the Mikhelashvili method. The results from these methods were found to be consistent with varying light intensities. Additionally, photodetector parameters of the MnPc/DLC device were measured at ±1 V under light intensities of 20, 40, 60, 80, and 100 mW/cm2, and the findings were compared with the literature. The maximum values for photocurrent, photoresponsivity, photosensitivity, specific detectivity, and on/off ratio were 6.41 × 10−2 A, 2.49 A/W, 2.02 × 105, 5.8 × 109 Jones and 2.06 × 103, respectively. Notably, the photocurrent, photoresponsivity, photosensitivity, and on/off ratio values were found to be significantly higher and more promising compared to those reported in the literature.
AtıfScopus4OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2A Provincial Centre on the western border of Urartu: Palu Fortress
Danismaz, Harun
Palu Kalesi is a fortress site situated in modern Elazig province. In the Middle Iron Age, this region was the western borderland of the Urartian Kingdom and the primary contact zone where political and cultural relations transpired between the Urartu and the neighbouring Neo-Hittite kingdoms. The site was also a strategically crucial military post that provided logistic support for the Urartian armies during their western expeditions. The fortress was built as a provincial centre shortly after the foundation of the Urartian Kingdom, and the settlement lasted for a long time until the fall of the kingdom. This study presents previously unrecognised archaeological remains, which were identified during our recent investigations at Palu Fortress. Our survey of the site revealed that the Middle Iron Age citadel consisted of two sectors, and the Lower Citadel was enclosed by sturdy fortifications and terrace walls reinforced with bastions. Moreover, while Urartian rock signs were already recorded at Palu, our investigations documented previously unknown rock signs at the site. In addition, other previously unrecognised features dating to the post-Urartian periods were identified by our recent investigations, including five single-roomed rock-cut tombs and two stepped rock-cut tunnels. To better understand the relationship of the archaeological features at the site, a topographic map of Palu Fortress was drawn and visible archaeological remains dated to the Urartian and post-Urartian periods were marked on this map. In addition, the multi-roomed tombs of the Urartian period were scanned using Lidar sensors, and Lidar data were used to generate 3D models and rectified plans of the tombs. Finally, a preliminary virtual 3D reconstruction of the Urartian period fortifications was generated on the basis of recently discovered remains.
- MakaleAçık Erişim2024Scopus SJRQ1Local site effects at the selected stations affected by the February 6 2023 Türkiye Earthquake Sequences
Ilhan, Okan; Indır, Onur; Muratoğlu, Gamze; İçen, Abdullah; Albayrak, Kubilay; Sandıkkaya, M. Abdullah; Askan, Ayşegül; Arduino, Pedro; Taciroğlu, Ertuğrul
This paper explores the applicability of one-dimensional (1D) nonlinear (NL) and equivalent-linear (EL) site response analyses (SRA) for characterizing site effects at selected strong ground motion stations impacted by the February 6, 2023 Türkiye earthquakes. The 1D NL simulations generally underestimate site response at softer sites and for long periods likely due to basin effects and the uncertainties associated with site properties and the 1D approximation. The inclusion of the high-frequency spectral decay parameter (κ0) in 1D simulations decreases the prediction bias of nonlinear SRA, especially at soft sites for short periods. Moreover, the theoretical transfer functions (TTFs) are demonstrated to capture the fundamental site period through in horizontal-to-spectral vertical ratio (HVSR) using ground motion data before and after the February 6, 2023 main event.
AtıfScopus22OpenAlex27İncele - MakaleAçık Erişim2024Scopus SJRQ4MOLECULAR MARKERS ANALYSIS OF ENDEMIC BORNMUELLERA HAUSSKN. SPP. (BRASSICACEAE) IN TÜRKİYE; [ANALIZA MOLEKULARNIH MARKERA ENDEMIČNE VRSTE BORNMUELLERA HAUSSKN. SPP. (BRASSICACEAE) U TURSKOJ]
Okan, Kemalcan; Özkara, Zekiye; Sevİndİk, Emre; Sevİndİk, Mustafa; Paksoy, Mehmet Yavuz
Okan K., Z. Özkara, E. Sevindik, M. Sevindik, M. Y. Paksoy (2024). Molecular markers analysis of endemic Bornmuellera hausskn. spp. (Brassıcaceae) ın Türkiye. - Genetika, Vol 56, No.2, 295-304. In this study, molecular characterisation of Türkiye's endemic species Bornmuellera cappadocica (Willd.) Cullen & T.R. Dudley, Bornmuellera glabrescens (Boiss. & Balansa) Cullen & T.R.Dudley, Bornmuellera kiyakii Aytaç & Aksoy and Bornmuellera angustifolia (Hausskn. ex Bornm.) Cullen & T.R.Dudley was carried out using ten RAPD and ten ISSR primers. In RAPD-PCR analysis, 66 bands were obtained and the polymorphism rate was 96.96%. In the ISSR-PCR analysis, 119 bands were obtained and the polymorphism rate was 95.79%. In the UPGMA (Unweighted Pair Group Method with Arithmatic Mean) dendrogram based on RAPD-PCR, B. angustifolia and B. glabrescens were found to be a sister group, and B. kiyakii and B. cappadocica were a sister group. Principal Component Analysis (PCA) analysis based on RAPD-PCR were compatible with the UPGMA dendrogram. In the UPGMA dendrogram based on ISSR-PCR, B. kiyakii and B. glabrescens were found to be sister groups, and B. cappadocica was closely related to this group. PCA analysis based on ISSR-PCR were compatible with the UPGMA dendrogram. As a result, both RAPD and ISSR results a high rate of polymorphism were obtained. The results were compared with previous sequence-based studies, morphological, anatomical and palynological studies.