Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(8)
- Yucesan, Melih(5)
- Konurhan, Zekeriya(3)
- Aksakal, Bünyamin(2)
- Aslan, Naim(2)
- Aydin, Yilmaz(2)
- Brunelli, M(2)
- Cihangir, Salih(2)
- Garipcan, Ali Murat(2)
- Mohammadi, M(2)
- Paksoy, Mehmet Yavuz(2)
- Rezaei, J(2)
- Sevindik, Emre(2)
- Yilmazer, Yasemin(2)
- Yücesan, Melih(2)
- Özkaynak, Fatih(2)
- Abuawad, Mohammed Majed Shible(1)
- Acar, Mikail(1)
- Adiguzel, Ragip(1)
- Aksakal, B.(1)
- Alkan, Ramazan(1)
- Arslan Topal, E. Işıl(1)
- Aslan, N.(1)
- Aydın, Ekrem(1)
- Barim, Esra(1)
- Başhan, Veysi(1)
- Başköse, İsa(1)
- Cetin, Fadime(1)
- Chesneau, Christophe(1)
- Colak, Naki(1)
- Demirbilek, D.(1)
- Demirel, Hakan(1)
- Demirelli, Kadir(1)
- Diken, Mehmet Emin(1)
- Dogan, Serap(1)
- Donmez, Melike(1)
- Esmeray, Furkan(1)
- Fidan, F.(1)
- Fidan, Ferzan(1)
- Gülten, Arif(1)
Yayınlar
- MakaleYalnız künye2026Scopus SJRQ1MILA: An Innovative Approach to Identifying AI-Generated Content Using BERT, CNN, and BiLSTM
Utku, Anil
AI ethical principles are essential in balancing the social impacts of rapidly developing technology today. The widespread use of AI technologies has heightened the need for ethical and legal regulations in this area. In this process, fundamental principles such as data privacy, accountability, transparency, and human oversight take center stage to enhance the reliability of artificial intelligence and foster social trust. Generative AI refers to machines producing text, images, audio, and video content. However, generative AI brings ethical discussions since it can produce original content. Detecting AI-generated content is becoming increasingly complex due to the ability of AI models to produce increasingly more fluent and meaningful texts. This study created a hybrid MILA model using BERT, CNN, and BiLSTM models to detect AI-generated content. MILA was compared in detail with SVM, XGBoost, CNN, LSTM, and BiLSTM using sentence-level and article-level datasets. Experiments demonstrated that MILA outperformed the compared models, achieving 94.34% accuracy at the sentence-level and 93.62% accuracy at the article-level.
AtıfOpenAlex1
İncele - MakaleYalnız künye2026Scopus SJRQ2Comparative Analysis of Sequential Electrooxidation and Electrocoagulation Processes for Leachate Treatment
Ogedey, Aysenur; Oguz, Ensar
This study aims to improve the removal efficiency of chemical oxygen demand (COD), NH₃-N, and turbidity from Bingöl leachate through a sequential electrochemical process. This process includes electrooxidation (EO) with Ti/PdO-CoO anodes and stainless-steel cathodes, followed by electrocoagulation (EC) with aluminum anodes and stainless-steel cathodes. The sequential electrochemical process lasted 400 min, consisting of 360 min of EO followed by 40 min of EC process. At pH 5, COD and turbidity reached optimal removal efficiencies of 89% and 99.9%, respectively, while NH₃-N achieved 88.5% at pH 9.5. These results indicate that the sequential electrochemical process was most effective under these pH values for removing organic matter, nitrogen, and suspended solids. The sequential electrochemical process led to significant improvements in the removal efficiencies of COD, NH₃-N, and turbidity, with increases of 32.5%, 44%, and 6.9%, respectively, compared to the EO process. The sequential electrochemical process showed improvements of 9.5% in COD and NH₃-N removal, and 1.2% in turbidity removal, compared to the results of the EC process. The pseudo-first-order (PFO) reaction rates for the EO and EC processes were determined, resulting in high R2 values (0.98–0.99). Additionally, the total consumption cost of the EO process was higher than that of the EC process. After the sequential electrochemical process, the consumption cost increased from $13.586/kg COD to $24.332/kg COD as the current density increased from 15 mA/cm2 to 25 mA/cm2.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Preparation of Nanographene-Based Copolymer Nanocomposites: Thermal Decomposition Kinetic, Optical, and Electrical Behaviors
Barim, Esra; Demirelli, Kadir
The poly(4-methacryloyloxyphenyl-4'-methoxystyryl ketone-co-methyl methacrylate) [P(MPMESK0.25-co-MMA)] was synthesized using a free radical copolymerization method at 60 °C. The composition of the copolymer was estimated by 1H-NMR. The nanocomposites of P(MPMESK0.25-co-MMA)-loaded 9 and 11 wt% nanographene (NG) were produced using the ultrasonic homogenizer sonicator. The FT-IR, 1H-NMR, GPC, TGA, XRD, and SEM techniques were used to characterize the copolymer and composites. The thermal behavior of P(MPMESK0.25-co-MMA) partially heated up to 270, 310, 340, and 380 °C was investigated by FT-IR analysis. A six-membered anhydride ring in the copolymer backbone formed at 340 °C and higher temperatures. TG measurements were used to analyze the thermal decomposition processes of pure P(MPMESK0.25-co-MMA) and P(MPMESK0.25-co-MMA)/NG 11 wt% composite. Apparent activation energies for thermal decomposition of P(MPMESK0.25-co-MMA)/NG 11 wt% were determined using the Flynn–Wall–Ozawa (FWO) and Kissinger–Akahira–Sunose (KAS) methods at a temperature range of 200 and 400 °C for a weight loss of approximately 70%. The average activation energies determined from the FWO and KAS methods were 86.3 and 80.3 kJ/mol, respectively. The dielectric and electrical behaviors of the P(MPMESK0.25-co-MMA) and P(MPMESK0.25-co-MMA)/NG 11 wt% composite were investigated at room temperature. The dc activation energy for dc conductivity of nanocomposite was calculated as 1.092 eV. Optical properties such as absorption, reflectance, refractive index, absorption edge, direct band gap of the copolymer, and composites were investigated from their optical examinations in the wavelength region of 200–800 nm. It was found that the optical energy gap values had shifted to the lower energies with the doping of NG.
AtıfScopus1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2An Innovative Thermal Management Approach Enhanced by Thermoelectric Stations and Turbulators for Lithium-Ion Batteries
Tuğan, Volkan; Yardımcı, Uğurcan
The design of an effective battery thermal management system is critical to ensure the safe, efficient, and long-lasting operation of lithium-ion batteries. Excessive heat generation and temperature non-uniformity among cells in high energy density battery systems lead to performance degradation, accelerated aging, and an increased risk of thermal runaway. Although liquid-cooled systems and thermoelectric module-assisted solutions have been extensively investigated separately in the literature, studies that holistically evaluate multiple thermoelectric stations combined with an innovative flow channel design and turbulator integration remain limited. This gap constitutes a significant research need, particularly in terms of improving temperature uniformity and reducing maximum cell temperature. In this study, to address this research gap, a novel liquid-cooled battery thermal management system integrating thermoelectric coolers and turbulators within the flow channel is proposed. The thermal performance of the proposed system was systematically analyzed using computational fluid dynamics under three different configurations (conventional system, thermoelectric-assisted system, and turbulator-integrated thermoelectric-assisted system) and four different mass flow rates (0.0008, 0.0013, 0.0018, and 0.0023 kg/s). The results indicate that, at a mass flow rate of 0.0023 kg/s, the integration of thermoelectric coolers and turbulators reduces the maximum battery temperature by 8.95 K and the maximum temperature difference by 6.83 K. At the highest mass flow rate, the proposed system achieves a maximum battery temperature of 306 K and a maximum temperature difference of 4.5 K, ensuring both effective cooling performance and high temperature uniformity. Overall, the results in terms of cooling performance and temperature uniformity demonstrate that the combination of thermoelectric modules and turbulators offers significant potential for advanced battery thermal management system applications and offers an effective solution for high-energy-density systems.
- MakaleAçık Erişim2026Scopus SJRQ1Comparative Study of Enzymatic and Oxidative Polymerization of a Benzothiazole-Based Schiff Base and Its Antibacterial Properties
Kaya, İsmet; Solmaz, Adnan; Abuawad, Mohammed Majed Shible
In this study, the Schiff base 1-(((6-nitrobenzo[d]thiazol-2-yl) imino)methyl)naphthalen-2-ol (NBTIMN) was synthesized and subsequently polymerized by two different methods. Oxidative polymerization in the presence of organic (o-(NBTIMN)-O) and aqueous alkaline media (o-(NBTIMN)-A) was one of the techniques. The other was enzyme-catalyzed oxidative polymerization (o-(NBTIMN)-E), which was conducted at room temperature with hydrogen peroxide and the enzyme horse radish peroxidase (HRP). The structures of the obtained oligomers were characterized using FT-IR, 1H-13C-NMR, UV–Vis, CV, and GPC analyses, and their electrochemical and optical band gaps were determined as 2.68, 2.66, and 2.49 eV, and 3.08, 2.90, and 3.07 eV for o-(NBTIMN)-O, o-(NBTIMN)-A, and o-(NBTIMN)-E, respectively. Thermal analyses demonstrated that the o-(NBTIMN)-O and o-(NBTIMN)-A derivatives exhibited enhanced thermal stability, characterized by higher decomposition temperatures and LOI values. SEM analyses revealed distinct differences in surface morphologies depending on the polymerization conditions. Antibacterial assays showed that o-(NBTIMN)-O exhibited the strongest broad-spectrum inhibition, whereas NBTIMN displayed pronounced activity against S. aureus. In contrast, o-(NBTIMN)-A and o-(NBTIMN)-E were found to be inactive. These results highlight the critical influence of polymerization conditions on both the physicochemical characteristics and the biological activities of the synthesized structures. Importantly, the comparative design of enzymatic and chemical polymerization demonstrates the potential for environmentally friendly synthesis strategies. The distinct electrochemical and thermal properties suggest applicability in electronics and sensor-related fields, while the pronounced antibacterial activity of o-(NBTIMN)-O holds promise for biomedical and antimicrobial applications.
- MakaleAçık Erişim2026Scopus SJRQ1Analyzing Failures In Wind–Solar Hybrid Energy Systems Using a Fuzzy-Based BWM-MARCOS Approach: Challenges and Solutions
Başhan, Veysi; Yucesan, Melih; Demirel, Hakan; Gul, Muhammet
The reliability of hybrid renewable energy systems (HRES) depends heavily on the identification and management of potential failure modes. This study employs a fuzzy-based BWM-MARCOS approach to systematically analyze and prioritize failure modes within wind–solar hybrid systems. The model aims to prioritize the failures considering four important risk parameters: (1) severity of the failure on system, staff, and failure, (2) failure occurrence chance, (3) effort and ease of detecting the cause of the failure, and (4) economic impact of the failure. In this context, four key risk indicators were evaluated to rank failures, revealing that SP1 (cell damage), ESS1 (battery degradation), and WT11 (battery fire) are the most critical due to their potential impact on system operations. Sensitivity analysis confirmed the stability of these rankings under varying parameter weights. Additionally, cross-method validation using fuzzy TOPSIS, SAW, and MARCOS demonstrated high correlation coefficients, underscoring the reliability of the results. Tailored mitigation strategies, including advanced diagnostics, durable materials, and robust monitoring systems, are proposed to address these critical failures. While the current methodology applies to various HRES configurations, future research should incorporate real-world operational data and machine learning techniques to enhance predictive capabilities and dynamic risk management.
AtıfScopus7WoS7OpenAlex8İncele - MakaleAçık Erişim2026Scopus SJRQ2Green Chemistry Meets Advanced Materials: Synthesis and Adsorption Performance of Ti3CNTx MXenes for Basic Red 46 Dye Removal
Aydın, Ekrem; Çelik, Aytekin; Köse, Yusuf; Hasar, Halil
In this study, Ti₃CNTₓ MXene nanosheets were synthesized from Ti₃AlCNTₓ MAX phase via two selective Al-etching routes: (i) direct hydrofluoric acid (HF) treatment and (ii) in-situ HF generation using a LiF + HCl mixture. Both approaches were systematically compared to evaluate their effects on structural integrity, surface chemistry, and adsorption performance toward the cationic dye Basic Red 46 (BR 46). Comprehensive physicochemical characterizations—including SEM–EDX, XRD, XPS, Raman spectroscopy, AFM, contact angle analysis, and TGA—confirmed successful Al removal and MXene formation for both methods, with notable differences in surface terminations and layer morphology. Batch adsorption experiments were conducted across a wide range of pH values (2–11), temperatures (25–60 °C), contact times (0–90 min), adsorbent dosages (0.05–0.40 g), and initial dye concentrations (10–50 mg/L). The HF-etched Ti₃CNTₓ exhibited rapid adsorption, achieving 99.6% removal at pH 2 within 20 min, whereas the LiF + HCl-etched sample demonstrated superior performance at moderate-to-alkaline pH and maintained high efficiency at lower dosages. Langmuir isotherm fitting revealed maximum adsorption capacities of 19.24 mg/g (HF route) and 28.01 mg/g (LiF + HCl route), supporting monolayer adsorption on homogeneous sites. Temperature-dependent studies further indicated an endothermic and spontaneous adsorption mechanism. Overall, the LiF + HCl route offers a greener and safer alternative to conventional HF etching while delivering competitive adsorption performance, improved structural stability, and faster equilibrium. These findings highlight the potential of sustainably synthesized Ti₃CNTₓ MXenes as high-performance adsorbents for dye-laden industrial wastewater treatment.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Forked hybrid architecture combining 1D-CNN and quantum convolutional networks for EEG signal classification
Esmeray, Furkan; Gülten, Arif
Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classification framework that integrates quantum-assisted and classical deep learning techniques to enhance detection accuracy and model interpretability. First, discrete wavelet transform (DWT) is applied to extract multiscale time–frequency features from raw EEG signals. Subsequently, three comparative models are developed: a conventional 1D-CNN model, an IQCNN model incorporating a parametric quantum circuit, and a novel Forked Enhanced Model that processes EEG features simultaneously through both 1D-CNN and IQCNN branches and combines them in a fully connected layer. The proposed hybrid model leverages the expressive power of quantum entanglement while preserving the robustness of classical deep learning. Evaluations using 5-fold stratified cross-validation on a real EEG dataset show that the forked architecture outperforms both classical CNNs and quantum-only based models in terms of accuracy, F1 score, precision, recall, number of incorrectly classified subjects and AUC. In this study, the best result was obtained with the Denoise IQCNNNet hybrid model. The accuracy of this model is 97.25%, precision 92.74%, recall 93.66%, F-1 score 93.15%, AUC 99.54%, number of incorrectly classified subjects are 57. This study demonstrates the feasibility and potential of hybrid quantum-classical networks in biomedical signal processing and provides a foundation for real-time clinical seizure monitoring systems.
- MakaleAçık Erişim2026Scopus SJRQ1RGO-CBPAC versus CBPAC for diluted leachate treatment: adsorption isotherms, kinetics and thermodynamics
Ogedey, A.; Oguz, E.
This study compares carbon-based activated carbon (CBPAC) and reduced graphene oxide-modified CBPAC (RGO-CBPAC) for removing COD, NH3–N, and turbidity from 1:4 diluted leachate from the Bingöl landfill site. Brunauer Emmett Teller (BET) analysis indicated severe micropore blockage in CBPAC after adsorption (887 → 0.76 m2/g), whereas RGO-CBPAC retained a higher surface area (908 → 23 m2/g) and mesoporous structure, demonstrating enhanced structural stability due to graphene incorporation. Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy with energy-dispersive X-ray spectroscopy (SEM–EDX) confirmed the presence of surface functional groups and effective pollutant uptake, with RGO-CBPAC showing stronger surface–pollutant interactions. Zeta potential analysis showed pH-dependent surface charge behaviour, with CBPAC exhibiting amphoteric characteristics and RGO-CBPAC maintaining a more negative surface. After adsorption, both became more negatively charged, indicating the accumulation of negatively charged species. Kinetic analysis showed that COD adsorption on CBPAC followed pseudo-first-order and intraparticle diffusion models, whereas NH3–N and turbidity followed pseudo-second-order kinetics. In contrast, RGO-CBPAC exhibited pseudo-second-order and intraparticle diffusion behaviour for all pollutants, suggesting chemisorption with diffusion-controlled contributions. Adsorption equilibrium was best described by the Langmuir isotherm, yielding maximum capacities of 500 and 588 mg O2/g for COD, 17.5 and 36.5 mg/g for NH3–N, and 18.1 and 58.5 mg/g ((NH2)2H2SO4)/g for turbidity on CBPAC and RGO-CBPAC, respectively. Thermodynamic analysis demonstrated that COD and turbidity removal using RGO-CBPAC were spontaneous (∆G° < 0) and endothermic (∆H° > 0), whereas NH3–N removal remained non-spontaneous for both adsorbents. RGO incorporation significantly enhanced adsorption performance.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ1A Novel Secure S-box Design Methodology Based on FPGA and SHA-256 Hash Algorithm for Block Cipher Algorithms
Aydin, Yilmaz; Garipcan, Ali Murat; Özkaynak, Fatih
In this study, a novel robust design methodology that successfully meets the performance and security criteria for substitution-boxes (s-boxes), critical component in block cipher systems, is proposed. Unlike traditional methods providing low-level randomness, the proposed method utilizes physical true randomness as the entropy source, significantly improving the robustness and effectiveness of the s-box design. Phase noise (jitter) occurring on ring oscillators (ROs) is used for true randomness inputs with high security and unpredictability properties in the proposed method. The success of the proposed method is evaluated by considering key performance metrics of s-boxes such as bijectivity, strict avalanche criterion (SAC), bit independence criterion (BIC), nonlinearity (NL), and differential probability (DP). In the novel method, including the integration of the secure hashing algorithm (SHA)-256 hash function for cryptographic usage adequacy of the noise signal, 106.75 NL, 0.4995 SAC, and 105.7 average BIC-NL values can be obtained for s-boxes without any additional optimization process. Considering the low DP value, the analysis results confirm that the s-boxes produced by the proposed method can provide remarkable resistance against linear and differential cryptanalysis scenarios. Numerical findings also show that the proposed s-boxes are competitive and superior compared to other s-box designs in the literature. In conclusion, we believe that the methodology producing robust and reliable s-box solutions for block cipher systems contains important contributions inspiring future research regarding design principles.
AtıfScopus23WoS27OpenAlex20İncele - Kitap BölümüYalnız künye2025Bayesian Best–Worst Method Application for Assessing the Potential Effecting Areas of Climate Change: A Case Study in Turkey
Konurhan, Zekeriya; Yücesan, Melih; Gul, Muhammet
‘Climate Change’ is a term used to refer to global changes in the Earth's average temperature and the consequences of changes in temperature. More clearly, it demonstrates changes in temperature and weather patterns over time. The emergence of this situation directly or indirectly affects irreparable damages and major/minor disasters in many areas. Determining the answer to the question of which of these areas has an impact at what level of importance will provide guidance on which one should be prioritized in carrying out an effective treatment. Therefore, in this study, this problem is ad-dressed as a multi-criteria decision problem using Bayesian Best–Worst Method. The potential impacts have been categorized under 8 main areas and weighted via participating of 8 competent experts (geography, emergency disaster management, geomorphologist, climate scientist etc.) in the field of climate change. The study results determined that B (Ecosystems and Water Resources) has the most critical impact area, with 0.200. The least essential domain is G4 (Adaptation and Resilience Strategies in the Tourism Industry), which weighs 0.012. The results showed that they provide important clues regarding which impacts should be addressed first.
- MakaleYalnız künye2025Scopus SJRQ2Phylogenetic analysis of the nrDNA ITS and cpDNA rbcL sequences of some endemic Dianthus (Caryophyllaceae) species from Türkiye
Sevindik, Emre; Güner, Özal; Yolcu, Seher; Başköse, İsa; Paksoy, Mehmet Yavuz; Khadivi, Ali; Tunç, Yazgan; Yaman, Mehmet
In this study, the phylogenetic relationship of four species of Dianthus genus which are endemic and distributed in Türkiye, including D. zederbaueri Vierch, D. varankii Hamzaoğlu & Koç, D. halisdemirii Hamzaoğlu & Koç, and D. goekayi Kaynak, was determined using nuclear DNA (nrDNA) internal transcribed spacer (ITS) and chloroplast DNA (cpDNA) rbcL regions. After sampling from the plant, DNA was extracted and the ITS (ITS4-ITS5A) and rbcL (rbcLaF-rbcLaR) primers were used to perform PCR amplification. Sequencer 5.4.6. was used to edit the sequences. MEGA 11 software was used to determine the nucleotide ratios, genetic distance matrix, and π = nucleotide diversity. Some species of Dianthus available in the National Center for Biotechnology Information (NCBI) were used to construct maximum likelihood (ML) phylogenetic trees. As a result, based on the ITS analysis π = nucleotide diversity was determined as: 0.001543, and the result of the rbcL analysis π = nucleotide diversity was determined as: 0.000000. In the ITS results, D. halisdemirii, D. superbus, and D. varankii appeared together, while D. zederbaueri and D. aculeatus appeared together. The rbcL results showed that D. zederbaueri and D. varankii were closely related, but the relationship between D. halisdemirii and D. goekayi could not be determined. Furthermore, in the phylogenetic tree constructed by taking the ITS and rbcL sequences of Dianthus, Gypsophila, Silene, Arenaria, Saponaria, Cerastium, Stellaria, Petrorhagia, Minuartia, Agrostemma, and Polycarpon species from NCBI using ITS and rbcL sequences, our endemic Dianthus species appeared in the same group with Petrorhagia, Gypsophila, and Saponaria species. To conclude, our ITS and rbcL results were consistent in determining the phylogenetic relationships of our Dianthus species with other species.
AtıfScopus1İncele - MakaleAçık Erişim2025Scopus SJRQ1Monitoring of organic micropollutant behavior and fate in a full-scale conventional biological urban wastewater treatment plant
Demirbilek, D.; İpek, U.; Yetis, U.
Organic micropollutants, found at trace levels in nature, are causing significant concern due to their toxic, carcinogenic, and mutagenic effects. In this study, the fate and removal of organic micropollutants were monitored covering all seasons in an urban wastewater treatment plant in Turkey. The plant influent, effluent, and aeration basin were sampled seven times in the years of 2019–2020; and three surfactants (linear alkylbenzene sulfonate, nonylphenol mono-di-ethoxylate, nonylphenol), polychlorinated biphenyls and polyaromatic hydrocarbons were monitored in this context. The plant was being operated in the endogenous respiration phase during the monitoring period without sludge removal. Results obtained showed that the highest NH3-N removal (41%) of the study period was realized in March when the lowest mixed liquid volatile suspended solids value (380 mg/L) and the lowest sludge age were observed. In this month, the highest organic micropollutants removal efficiency was obtained in relation to the increased metabolic activity. On the other hand, in August, when the highest mixed liquid volatile suspended solids value (1,750 mg/L) was observed, the lowest organic micropollutants removal was recorded, with the lowest NH3-N removal (6%). The removal of linear alkylbenzene sulfonate and nonylphenol mono-di-ethoxylate was high during the period, and microorganisms could metabolize these pollutants efficiently. Polychlorinated biphenyls, polyaromatic hydrocarbons, and nonylphenol were resistant to metabolic degradation, so they were present in high amounts at various stages of the treatment process. Due to the poor plant treatment performance, a high quantity of organic micropollutants was discharged into the receiving environment.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Effects of ZrN and DLC coatings on morphostructural, corrosion, cell viability, and antibacterial properties of Ti6Al4V scaffolds
Aslan, Naim; Aksakal, Bünyamin; Cihangir, Salih; Fidan, Ferzan; Yilmazer, Yasemin
Lightweight and functional metallic materials are consistently favored and attract significant attention in the biomedical field. This study investigates the influence of ZrN and DLC coatings on Ti6Al4V scaffolds with varying porosities (40%, 50%, 60%) for biomedical applications. PVD-deposited coatings exhibited distinct growth mechanisms: High-resolution SEM-FIB analyses revealed columnar ZrN structures due to limited adatom mobility, while DLC formed conformal, amorphous layers via high-energy carbon species. Corrosion resistance decreased in 40% porous DLC and 60% porous ZrN-coated samples, likely due to coating defects and increased electrolyte access through open pores. ZrN coatings showed superior antibacterial activity and attributed to surface reactivity and potential ion release. In contrast, the uncoated 60% porous scaffolds demonstrated highest cell viability, suggesting that excessive coating on highly porous structures may hinder cell–material interactions. Furthermore, the cytotoxicity evaluations indicated that uncoated scaffolds exhibited the highest cell viability (77.51%) at 60% porosity after 48 hours, with ZrN coatings demonstrating better efficacy compared to DLC in the 50% and 60% porosity groups.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis and characterization of novel bis(thiosemicarbazone) complexes and investigation of their acetylcholinesterase and glutathione S-transferase activities with in silico and in vitro studies
Donmez, Melike; Sekerci, Memet; Adiguzel, Ragip; Oğuz, Ercan; Türkan, Fikret; Yildiko, Umit; Colak, Naki
In this study, firstly, bis(thiosemicarbazone) ligand [L: 2,2′-(2-(2-(4-methoxyphenyl)hydrazineylidene)cyclohexane-1,3-diylidene)bis(hydrazine-1-carbothioamide)] was synthesized by the condensation reaction of thiosemicarbazide and ketone compound (2-(2-(4-methoxyphenyl)hydrazone)cyclohexane-1,3-dione). The metal complexes were synthesized by the reaction of obtained ligand (L) with CuCl2·2H2O, NiCl2·6H2O, CoCl2·6H2O, and MnCl2·4H2O salts. The structures of synthesized ligand and their complexes were characterized using elemental analysis, IR, UV–Vis, 1H-NMR spectra, 13C-NMR spectra, magnetic susceptibility, mass spectra (LC–MS), thermogravimetry analysis-differential thermal analysis (TGA-DTA), and differential scanning calorimetry techniques. According to the results of the analysis, square plane geometry was suggested for Cu and Co complexes. However, the structures of Ni and Mn complexes were in agreement with octahedral geometry. Molecular docking analysis and pharmacological potential of the compound were evaluated to determine the inhibitory potential against acetylcholinesterase (AChE) and Glutathione-S-transferases (GST) enzymes. The compound exhibited strong binding/docking indices of − 5.708 and − 5.928 kcal/mol for the respective receptors. In addition, L–Ni(II) complex was found to be the most effective inhibitor for AChE enzyme with a Ki value of 0.519. However, with a Ki value of 1.119, L–Cu(II) complex was also found to be an effective inhibitor for the GST enzyme.
AtıfScopus21OpenAlex19
İncele - MakaleAçık Erişim2025Scopus SJRQ2In vitro and in silico analyses of cytoprotective, antigenotoxic and antimutagenic potential of Phlomis pungens var. hirta extracts against oxidative damage
Wild Korkmaz, Franziska Johanna; Dogan, Serap; Yilmaz Kardas, Begumhan; Diken, Mehmet Emin; Karasakal, Ömer Faruk; Acar, Mikail
Phlomis pungens var. hirta Velen has been used by local people for food and to treat diseases but there are limited number of investigations in literature about this plant and cyto/genotoxicity analyses have not been done before. Hence, this study aimed to find out cell-protective activity and DNA damage prevention ability of P. pungens var. hirta by MTS, micronucleus, 8-OHdG and somatic mutation recombination tests (SMART). In addition, liquid chromatography, antioxidant/antibacterial activity analyses and in silico biological activity profiling were performed. The healthy lymphocyte cell growth was supported by the plant extracts and none of the extracts was genotoxic. 8-OHdG test showed that methanolic and ethanolic extracts of the plant were able to decrease the oxidative DNA damage. According to the SMART results, extracts could suppress the genotoxic effects of an important environmental pollutant, H2O2. Rutin hydrate and quercetin were found in highest concentrations and the extracts could be characterized as antioxidant/antibacterial. In silico analysis also showed that the major compounds of this plant can be considered as chemoprotective. This is the first study that assessed the cell protective activity and DNA damage prevention capacity of P. pungens var. hirta, which should be regarded as a potential source for nutritional supplements and therapeutic products.
AtıfOpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ2Regional Climate Change and Drought Dynamics in Tunceli, Turkey: Insights from Drought Indices
Korkmaz, Meral; Kuriqi, Alban
Global warming and climate change are causing temperatures to rise, which is having a negative impact on water resources. Climate change is a worldwide problem that affects and will continue to affect the frequency and intensity of natural disasters in many regions of the world. Tunceli region in Turkey, which until 10 years ago was known as an environmentally friendly city with abundant water resources and frequent rainfall, is experiencing a decrease in precipitation during the snowy winter season. This situation has made the investigation of climate change impacts an important issue in the region. Therefore, effective climate change adaptation strategies need to be developed. To determine these strategies, in this study, we assessed long-term drought conditions using multiple drought indices such as Standardized Precipitation Index (SPI), Reconnaissance Drought Index (RDI), Normal Precipitation Index (PNI), and Aridity Index (AI). The SPI and RDI analyses were performed in annual reference periods on a time scale of 3, 6, 9, and 12 months using temperature, precipitation, and evaporation data. Consequently, the SPI and RDI results were compared, and both indices show similar behavior in dry, wet, and normal seasons. Nevertheless, RDI shows less variation between different time scales, which is an advantage over SPI and is probably due to the inclusion of potential evapotranspiration in RDI. The variations in PNI between humid and dry sub-humid categorizations throughout the years, combined with the AI results, indicate that the Tunceli region predominantly experiences a climate ranging from dry sub-humid to semi-arid. This study could help decision-makers take effective measures to become more resilient to climate change in temperate climate regions and take important steps toward sustainable water resources management.
AtıfScopus17WoS15OpenAlex20İncele - DüzeltmeAçık Erişim2024Scopus SJRQ1Correction to: A Novel Secure S-box Design Methodology Based on FPGA and SHA-256 Hash Algorithm for Block Cipher Algorithms (Arabian Journal for Science and Engineering, (2024), 10.1007/s13369-024-09251-8)
Aydin, Yilmaz; Garipcan, Ali Murat; Özkaynak, Fatih
In the original publication, Table 1 was published with wrong values. The corrected table is given below. This has been updated in the original article. (Table presented.) 8 × 8 s-box component obtained through the proposed scheme 0 1 2 3 4 5 6 7 8 9 A B C D E F 0 7 16 40 37 222 29 204 225 65 81 156 199 63 42 44 197 1 158 2 11 117 30 134 106 209 24 78 152 141 215 251 160 36 2 249 6 228 75 233 198 132 203 147 100 176 97 214 43 239 59 3 146 47 200 49 79 195 188 201 184 85 218 151 213 154 76 253 4 17 196 26 120 105 130 45 115 186 4 224 145 118 252 138 208 5 255 10 5 129 236 91 21 162 216 109 72 27 243 207 89 13 6 124 86 206 179 192 172 235 68 28 230 74 54 99 80 139 143 7 182 234 108 149 94 168 177 3 64 250 46 41 9 191 232 136 8 84 210 88 205 23 15 95 56 50 83 107 190 98 242 103 19 9 60 169 101 181 114 174 69 82 119 112 247 244 128 51 96 1 A 123 90 150 93 32 159 57 237 170 52 231 202 125 217 155 73 B 189 31 66 14 194 62 227 104 140 165 153 131 20 12 211 245 C 111 102 183 142 137 113 187 254 133 77 116 122 161 110 38 173 D 39 18 87 148 175 121 35 193 70 229 92 55 166 219 163 171 E 185 8 126 135 127 223 240 58 53 22 248 246 167 67 48 212 F 241 144 221 178 220 34 71 0 61 164 180 157 226 238 25 33
AtıfScopus1İncele - Kitap BölümüYalnız künye2024Otherness and censorship in the theatre of Turkey (1960s-70s)
Çelik, Duygu
This chapter delves into the relationship between censorship and 'otherness', examining three plays across distinct political epochs from the multi-party period of 1945-60 to the post-coup regimes of 1960 and 1971, marked by democratic transitions and restricted liberties Musa Anter's Birîna Reş (1959), recognised as the first Kurdish play on Republican history, encountered state prohibition and confiscation in 1965. Erol Toy's Pir Sultan Abdal (1968), centered on the Alevi folk poet, faced a ban exclusively in Tunceli, a city predominantly inhabited by Alevis, amidst violent events resulting in a civilian's death. Deprem ve Zulüm (1977), a collaborative piece by the Revolutionary Ankara Art Theatre, explores the aftermath of a 1976 earthquake in Van, a Kurdish-dominated city. These plays share a commonality in addressing the concept of the 'Other' and were censored under the accusation of promoting separatism, thereby violating constitutional norms. By scrutinising these cases, the chapter aims to unravel the dynamics between artistic expression, political climates, and the imposition of censorship, shedding light on how the theme of 'otherness' becomes entangled in the suppression of voices across diverse socio-political contexts.
- MakaleYalnız künye2024Scopus SJRQ3On the Construction of a Semiparametric Family of Bivariate Copulas Using the Opposite Diagonal Section of Copulas
Susam, Selim Orhun; Chesneau, Christophe
In this article, a new semiparametric family of bivariate copulas is proposed and studied. The copulas of this family innovate in their construction; they are based on an original univariate generating function involving the opposite diagonal section of intermediary copulas. Several of their crucial properties are examined. In the practical part, we use them to estimate the reliability parameter in a stress-strength-dependent setting, including an estimation approach based on the Bernstein copula. Finally, their applicability and good performance are confirmed using a data set related to the logarithmic concentrations of two chemical elements in water samples.
AtıfScopus1WoS1OpenAlex1İncele