Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Merdan, Mehmet(4)
- Ali, Mustafa Ahmed(2)
- Arslanoğlu, Hasan(2)
- Ayaydın, Hasan(2)
- Aydoğmuş, Ercan(2)
- Gül, Abdulkadir(2)
- Pilatin, Abdulmuttalip(2)
- Saydam Eker, Çiğdem(2)
- Yılmaz, Fırat(2)
- Özgen, İnanç(2)
- Adanur, Süleyman(1)
- Akar, Tuncay(1)
- Akbaş, Yusuf Ekrem(1)
- Akdeniz, Canberk(1)
- Akdeniz, Fatih(1)
- Akdoğan, Arda(1)
- Albayrak, Selahattin(1)
- Alp, Ibrahim(1)
- Alsaran, Akgun(1)
- Apaydın, Orhan(1)
- Arslan, Mehmet(1)
- Arı, Uğur V.(1)
- Ashyralyyev, Charyyar(1)
- Aslan, Alper(1)
- Atalar, İlyas(1)
- Atay Polat, Melike(1)
- Aydın, Nedim Gökhan(1)
- Aydın, Tolga(1)
- Ayna, Adnan(1)
- Baltaci, Duygu Çinar(1)
- Baltaci, Furkan(1)
- Baltacı, Duygu Çınar(1)
- Barut, Abdulkadir(1)
- Başoğlu, Aysel(1)
- Bostan, Sedat(1)
- Bozyel, Ibrahim(1)
- Burmaoğlu, Serhat(1)
- Burnaz, Oğuz(1)
- Büyükbeşe, Tuba(1)
- Dedeturk, Mutlu(1)
Yayınlar
- MakaleAçık Erişim2025One-Step Green Hydrothermal-Assisted Synthesis of Carbon Quantum Dots From Robinia hispida L. Flowers, and Flourimetric Detection of Au3+ Ions in Aqueous Media
Başoğlu, Aysel
Water-soluble fluorescent carbon quantum dots (CQDs) were synthesized via a single-step, eco-friendly hydrothermal process using Robinia hispida L. flowers as a novel carbon source. Advanced characterization techniques (HRTEM, XRD, XPS, FTIR, UV–vis, and fluorescence spectroscopy) revealed spherical CQDs with an average size of 3.96 ± 0.83 nm and a quantum yield of 5.13%. Under 365 nm UV light, the CQDs emitted blue fluorescence. Fluorescence quenching studies with various metal ions showed a significant 93.5% reduction in FL intensity with 500 μM Au3+ ions. At pH 7.0, a linear detection range of 0.5–3.5 μM was achieved, with limits of detection (LOD) and quantification (LOQ) of 0.4 and 1.2 μM, respectively. The non-functionalized CQDs effectively detected Au3+ ions in tap, drinking, and river water, acidic mine drainage (sludge), and a standard reference material (CRMSA-C Sandy Soil C), achieving spike recoveries of 96.06%–101.71% with variability below 4.13%.
- MakaleAçık Erişim2025Sulfur Removal From Low-Grade Turkish Kaolin Clay
Erkan, Ilker; Alp, Ibrahim
This study investigated the effects of NaOH direct leaching for sulfur removal from a kaolin ore from the Balıkesir region, Turkey. Characterization studies were undertaken before sulfur removal studies to enlighten the structure and originate the source of sulfur. The characterization studies revealed that the ore was mainly composed of quartz, with sulfur originating from alunite minerals with opal inclusions. The leaching process was tested under varying NaOH concentrations (1.5–2 M), temperatures (95 ± 2°C), and durations (2 h) in temperature-controlled closed systems to maintain consistency. Results demonstrated complete (100%) sulfur removal from alunite under optimal conditions. However, significant mass losses (18.15%–45%) occurred because of the dissolution of kaolinite along with alunite, indicating the method's effectiveness in sulfur removal but also its potential drawbacks for kaolinite retention.
- MakaleAçık Erişim2025New Numerical Solutions for Caputo–Fabrizio Fractional Differential Multidimensional Diffusion Problems
Şahin, Yasin; Merdan, Mehmet
This study examined the multidimensional fractional diffusion equations that characterize the density dynamics in a diffusing medium utilizing the exact and analytical Aboodh transform decomposition method (ATDM). The Caputo–Fabrizio (CF) derivative is utilized to account for the fractional derivative that is being employed here. The suggested method handles nonlinear terms by combining the Adomian decomposition method (ADM) with the Aboodh transform (AT) and Adomian polynomials. Since the AT can only be applied to linear equations, ADM is a helpful technique for estimating solutions to nonlinear differential equations. In nonlinear systems, multidimensional diffusion problems which account for the production of stripes in two-dimensional systems are important. Additionally, we used MATLAB to compute numerical and graphical data that illustrate how the close-form analytical solution compares to the precise solution. Promising and appropriate for addressing multidimensional diffusion problems with fractional derivatives are the obtained results. The key benefit is that our devised approach does not depend on presumptions or constraints on variables that skew the actual issue. Overcoming fluctuating constraints that can make it difficult to discover the answer and represent the problem depends much on this technique. In the domains of science and technology, the approach presented in this work offers exceptional computational accuracy and convenience of use for analyzing and resolving intricate phenomena associated with CF fractional nonlinear partial differential equations.
- MakaleAçık Erişim2024The relationships between the multidimensional planned behavior model, green brand awareness, green marketing activities, and purchase intention
Baltaci, Duygu Çinar; Durmaz, Yakup; Baltaci, Furkan
Introduction: This study investigates the determinants impacting consumer purchasing behavior. Methods: Utilizing multidimensional planned behavior theory alongside measures of brand awareness and green brand awareness, this study examines the mediating role of multidimensional planned behavior theory. Empirical data were gathered through a survey conducted among Generation Z university students, yielding 638 responses. Analysis was performed on 590 valid responses. Results: Findings indicate that green marketing initiatives and green brand awareness positively influence consumers’ purchase intentions. Subdimensions of the theory of planned behavior (TPB), namely, attitude, subjective norms, and perceived behavioral control, serve to strengthen these relationships and mediate the interaction process. Conclusion: This study contributes novel insights to the burgeoning field of green marketing literature, offering a structural model for firms and policymakers. It suggests that companies can effectively engage in informal consumer education through green marketing efforts, thereby influencing consumers’ purchasing decisions via planned behavior. Moreover, such activities foster an increase in consumers’ green brand awareness, providing companies with an opportunity to promote conscious consumer behavior. The study's utilization of the TPB is both timely and original, particularly in its alignment with the United Nations 2030 Sustainable Development Goals.
- MakaleYalnız künye2024Earthquakes as a natural occurrence and disaster: A qualitative research from the perspective of chaos theory
Yildiz, Eyyüp; Bostan, Sedat
A concept that inspired social sciences as well as many other fields of science was developed from chaos theory. Disaster researchers are also trying to approach, understand, explain and manage disasters with this new concept. However, it has been observed that studies investigating disasters from this perspective do not focus on disaster sources. With this starting point, in this research, the chaotic factors that prepare the disaster formation were investigated with the example of earthquake. The study was carried out with the qualitative method. Data were collected by semi-structured online interview. Participants were selected by purposive sampling method. The interview data obtained from a total of 10 participants were managed with the MAQXDA 2018 software package using the traditional content analysis method. All codes were classified into three themes and 11 categories. According to the findings, earthquakes can be dealt with in three different chaotic periods: a natural event, a natural event that turns into a disaster, and disaster response and recovery. Future research is recommended to explain the dynamics of occurrence of other disasters such as floods, storms, explosions, and epidemics. It is recommended that disaster management practitioners integrate the chaos management approach into disaster management. With this, it is hoped that disaster management will shift from a linear, bureaucratic, command-control approach to a community-based, flexible, continuous planning approach in which even the smallest occurrences are carefully monitored.
- Derleme MakaleYayıncıda açık erişim2024An overview memristor based hardware accelerators for deep neural network
Gökgöz, Baki; Gül, Fatih; Aydın, Tolga
The prevalence of artificial intelligence applications using artificial neural network architectures for functions such as natural language processing, text prediction, object detection, speech, and image recognition has significantly increased in today's world. The computational functions performed by artificial neural networks in classical applications require intensive and large-scale data movement between memory and processing units. Various software and hardware efforts are being made to perform these operations more efficiently. Despite these efforts, latency in data traffic and the substantial amount of energy consumed in data processing emerge as bottleneck disadvantages of the Von Neumann architecture. To overcome this bottleneck problem, it is necessary to develop hardware units specific to artificial intelligence applications. For this purpose, neuro-inspired computing chips are believed to provide an effective approach by designing and integrating a set of features inspired by neurobiological systems at the hardware level to address the problems arising in artificial intelligence applications. The most notable among these approaches is memristor-based neuromorphic computing systems. Memristors are seen as promising devices for hardware-level improvement in terms of speed and energy because they possess non-volatile memory and exhibit analog behavior. They enable effective storage and processing of synaptic weights, offering solutions for hardware-level development. Taking into account these advantages of memristors, this study examines the research conducted on artificial neural networks and hardware that can directly perform deep learning functions and mimic the biological brain, which is different from classical systems in today's context.
- MakaleAçık Erişim2023On the solution of random linear difference equations with Laplace transform method
Şişman, Şeyma; Merdan, Mehmet
In this study, Laplace transformation, which is very important for solutions to initial value problems, is examined. To solve the initial value problem of a discrete-time equation, Laplace implements the conversion method. Here, Laplace transformation is used to obtain an approach to the solutions of random difference equations formed by randomizing components of deterministic difference equations. For random behavior of linear difference equations under random effects, uniform, geometric, binomial, Poisson, and Bernouilli distributions are used, and approximate expected value, variance, standard deviation, and confidence interval of equations obtained by Laplace transformation are calculated. The results were obtained through the Maple package program.
- MakaleYalnız künye2021Polydimethylsiloxane-based capacitive motion sensor and its read-out circuit
Yildirim, Omer; Bozyel, Ibrahim; Saka, Kubra; Kayikcioglu, Temel; Gokcen, Dincer
A capacitive motion sensor that can detect human walking and motions up to a certain distance was designed using polydimethylsiloxane (PDMS) as the primary sensor material. A read-out circuit was designed to detect capacitive coupling with the sensor material caused by the motion in the surrounding. The read-out circuit consists of sensing, filtering, and amplifying stages. A high-pass filter was used to avoid DC components, and to eliminate adverse impacts of 50Hz noise in the sensing signal, a sixth-order low-pass filter consisting of active Sallen–Key and passive RC filters was utilized. The signals obtained from the complete read-out circuit revealed that the sensor system could accurately detect human movements up to 2 m away. Also, different signal patterns were obtained from the output of the sensor system for various human motions.
- MakaleAçık Erişim2021A single-valued neutrosophic multicriteria group decision approach with DPL-TOPSIS method based on optimization
Rıdvan, Şahin; Fuat, Aslan; Gökçe Dilek, Küçük
Due to the uncertainty of human subjective judgments, it is sometimes very difficult to obtain accurate evaluation information. The technique for order preference by similarity to ideal solution (TOPSIS) is one of the functional methods used to solve the multicriteria decision-making (MCDM) problems. However, the traditional TOPSIS is based only on a distance measure and takes into account neither a similarity measure nor a likelihood measure. Therefore, in this article, we define two new information measures which are called as the projection and divergence and more functional than some other existing ones in the neutrosophic sets. Then we develop an innovative TOPSIS (DPL-TOPSIS) based on the hybrid closeness coefficient which is an optimization of the divergence (distance), projection (similarity), and likelihood (magnitude) closeness coefficients that can also use separately to make the decision in neutrosophic environment. To develop the DPL-TOPSIS, we define three kinds of analogical factors: the distance-like positive and negative divergence decision-making factors, the similarity-like positive and negative projection decision-making factors, and the magnitude-like positive and negative likelihood decision-making factors. In addition, we provide an objective weight determination model to determine expert judgment with the proposed divergence measure. Finally, to demonstrate the functionality of the developed DPL-TOPSIS, an application has been made on selection of the masks used as one of the protection methods in the COVID-19 epidemic, which has recently affected our world, and the results are compared with other existing methods.
- MakaleYalnız künye2020Geochemistry of the Middle Jurassic sediments in Gümüşhane, north-eastern Turkey: Implications for weathering and provenance
Saydam Eker, Çiğdem; Arı, Uğur V.
The whole-rock geochemistry and Sr-Nd isotope data of Middle Jurassic sedimentary rocks in the Gümüşhane area (north-eastern Turkey) were analysed to reconstruct the provenance, chemical weathering, sediment recycling history, and tectonic setting of the source area. Based on trace element ratios and rare earth element (REE) patterns, it was interpreted that the sandstones were derived from a source area with felsic-mafic rocks as dominant contributors. The average chemical index of alteration (CIA) and weathering index (WIP) values are low with respect to Upper Continental Crust (UCC) in the studied sandstones and mudstones, but the index of compositional variability (ICV) values are high, thus revealing weak–moderate weathering conditions. The average Th/U ratios of the sandstones and mudstones indicate a relatively simple cycling history. The positive and low negative εNd values support the supposition that the source area did not undergo much sedimentary change. A model mixture composed of 60% granite, 5% granodiorite, and 35% gabbro could be deduced to be the potential source composition of Middle Jurassic sediments; this model was reinforced by the 87Sr/86Sr ratios and εNd(t) values of the sediments. The Middle Jurassic siliciclastic sedimentary rocks of the Gümüşhane region were likely deposited in a tectonic environment with a passive margin.
- MakaleYalnız künye2020Stability of Rothe difference scheme for the reverse parabolic problem with integral boundary condition
Ashyralyyev, Charyyar
In this paper, we study the approximation of reverse parabolic problem with integral boundary condition. The Rothe difference scheme for an approximate solution of reverse problem is discussed. We establish stability and coercive stability estimates for the solution of the Rothe difference scheme. In sequel, we investigate the first order of accuracy difference scheme for approximation of boundary value problem for multidimensional reverse parabolic equation and obtain stability estimates for its solution. Finally, we give numerical results together with an explanation on the realization in one- and two-dimensional test examples.
- MakaleYalnız künye2020Tribocorrosion behaviour of porous anatase and rutile phases formed on surface of anodised Ti45Nb alloy
Tasdemir, Muharrem; Alsaran, Akgun
Titanium alloys are used across a wide range of sectors—from aerospace to health—because of their low density, high strength, and corrosion resistance properties. In recent years, the use of alloying elements such as niobium (Nb), tantalum (Ta), and zirconium (Zr) has still not eliminated existing wear problems, in spite of being preferred to conventional titanium alloys that are non-toxic and have better corrosion and mechanical properties. In order to overcome this problem of titanium alloys, various surface treatments are applied. This study was mainly aimed at investigating tribocorrosion properties of anatase, rutile, and anatase-rutile phases formed on the surface of Ti45Nb by anodising at different potential values. The structural and mechanical properties of these structures were examined by X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), nanoindentation, and a 3D profilometer. Tribocorrosion tests were carried out at open-circuit potential (OCP) and two different anodic in NaCl solutions. It was found that the wear volume was affected by mechanical action rather than chemical effects for all samples during tribocorrosion. It was concluded that while a surface structure including anatase is more sensitive to chemical effects, the rutile structures were shown to be more resistant to both mechanical and chemical attacks during tribocorrosion tests.
- MakaleYalnız künye2019TLD characteristic of glass, feldspathic and lithium disilicate ceramics
Isik, Esme; Toktamis, Huseyin
Thermoluminescence (TL) emission of dental ceramics could be potentially used for retrospective dosimetry purposes as this allows a quick and reliable dose assessment in case of nuclear accident or bad use of a nuclear attack. This paper reports on the chemical and luminescence characterization of glass, feldspathic and lithium disilicate glass ceramic (LS2). Swedish and Turkish dental ceramics supplied by Vivadent Ivoclar considering: (i) the dose response in the range 10 Gy to 6.9 kGy which displays a linear dose−response at low dose values up to 36 Gy (glass and feldspathic ceramics) and shows sublinear behavior from 12 Gy to 6 kGy (lithium disilicate glass ceramics), (ii) a reproducibility of the TL signal in which the area under the glow curve increased about 25% after 10 cycles for glass and lithium disilicate ceramics and increased about 30% after seven cycles for feldspathic ceramics, (iii) stability of the luminescence emission with the elapsed time and (iv) effect of the heating rate. Glass, lithium disilicate and feldspathic ceramics display a complex UV-blue glow emission that can be respectively fitted to five and four groups of components assuming first-order kinetics behavior.
- MakaleYalnız künye2018Group decision making with simplified neutrosophic ordered weighted distance operator
Şahin, Rıdvan; Küçük, Gökçe Dilek
Simplified neutrosophic set is a convenient tool proposed for dealing with complex problems; it is effective in providing more data for decision-making process. In this study, we develop a simplified neutrosophic ordered weighted distance operator which combines the neutrosophic distance measures and the ordered weighted average distance in the same formulation. It is a new handy aggregation operator that considers the situations where the input data are represented in simplified neutrosophic numbers, and it also contains diverse distance aggregation operators. Parameterized families of simplified neutrosophic ordered weighted distance operator are handled. Moreover, we establish a new neutrosophic group decision-making method based on the simplified neutrosophic ordered weighted distance operator, which has 2 extended approaches for determining the weights of decision makers and decision attributes in decision-making process, respectively. Finally, an illustrative example demonstrates the application of the proposed method. The effectiveness and advantages of the proposed method are shown by the comparative analysis with existing relative methods.
- MakaleYalnız künye2016Estimation of the temperature profiles of reinforced concrete cross sections exposed to standard fires by using artificial neural networks with different topologies
Albayrak, Selahattin; Burnaz, Oğuz
The thermal analysis in structural members can be extremely complex, especially for materials that retain moisture and have a low thermal conductivity. The simplest method of defining the temperature profile through the cross section is to use test data presented in tables or charts, which are published in codes or design guides. These tabulated data are generally based on standard fire conditions. Annex A of TS-EN1992-1-2 provides a series of calculated temperature profiles for concrete slabs or walls, beams, and columns. But these profiles are given for specific cross-section dimensions and standard fire resistance durations. The main purpose of this study is to estimate the temperature profiles of reinforced concrete beam and column cross sections by using artificial neural networks (ANN) with different topologies. When modeling ANN, it is benefited from multi-layer ANN, which uses supervised learning rule. During training and testing stage of ANN, the results obtained from the aforementioned temperature profiles are used. The temperatures values were read from the temperature profile charts according to standard fire durations, cross-sections height and widths, and x and y coordinates of the points by the reference point. By testing ANN with different topologies in conclusions, its usability, advantages, and disadvantages are evaluated.
- MakaleYalnız künye2015Dynamic responses of industrial reinforced concrete chimneys strengthened with fiber-reinforced polymers
Karaca, Zeki; Türkeli, Erdem; Günaydin, Murat; Adanur, Süleyman
Industrial reinforced concrete (RC) chimneys are tall and slender structures that need repair and strengthening in their service lives. Fiber-reinforced polymers (FRPs) are continuously becoming a popular material that is used for strengthening purposes of RC structures. The purpose of this study is to determine the effect of FRP strengthening on dynamic responses of industrial RC chimneys. A 75-m-high industrial RC chimney with an opening on the body was selected for FRP strengthening. First, three-dimensional finite element model of the chimney and its modal analyses were performed in ANSYS software. Then, linear transient analyses of the chimney were carried out by using 1992 Erzincan Earthquake ground motion record. After that, body of chimney was strengthened with FRP composite, and dynamic analyses were performed. Finally, dynamic responses of chimney before and after FRP strengthening, such as displacements and maximum-minimum principal stresses, were compared. At the end of the study, it was seen that displacements increased along the height of the chimney, maximum and minimum principal stresses occurred at the region of opening and base for all analysis, respectively. Also, it was seen from this study that FRP strengthening is effective on the dynamic response of industrial RC chimneys.
- DergiStructural Design of Tall and Special Buildings
- DergiInternational Journal of Circuit Theory and Applications
- DergiBrain and Behavior
- DergiJournal of Nursing Management