Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Akkurt, Nevzat(15)
- Sayyed, M.I.(8)
- Askin, A.(6)
- Güler, Ömer(6)
- Yildirim, Ozal(6)
- Tekin, H.O.(5)
- Zengin, Gokhan(5)
- ALMisned, Ghada(4)
- Ak, Gunes(4)
- Aslan, Naim(4)
- Gul, Muhammet(4)
- Kök, Mediha(4)
- Lassabatere, Laurent(4)
- Paksoy, Mehmet Yavuz(4)
- Stewart, Ryan D.(4)
- Yilmaz, Deniz(4)
- Çimen, Okay(4)
- Abou Najm, Majdi R.(3)
- Ali, Shahbaz(3)
- Artuğer, Fırat(3)
- Baloglu, Ulas Baran(3)
- Bayrakdar, Cihan(3)
- Dere, Ayşegül(3)
- Di Prima, Simone(3)
- Erguven, Gokhan Onder(3)
- Ilik, E.(3)
- Karataş, Mehmet(3)
- Kavaz, E.(3)
- Kaya, Mehmet(3)
- Keserci, Ferhat(3)
- Kilic, G.(3)
- Mahomoodally, Mohamad Fawzi(3)
- Nadeem, Sohail(3)
- Rodrigues, Maria João(3)
- Serdar, Osman(3)
- Simonetti, Antonio(3)
- Talo, Muhammed(3)
- Xu, Qian(3)
- Zheng, Qiang(3)
- Çılğın, Zeynel(3)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ2Antioxidant capacity and α-glucosidase inhibitor activity of Bryonia aspera extracts and its major constituent p-coumaric acid: Phytochemical analysis, biological evaluation and computational approach
Tuncay, Salih; Karasakal, Ömer Faruk; Açar, Mikail; Toptancı, İsra; Şenol, Halil; Çırak, Olgun; Işık, Mesut; Beydemir, Şükrü
This study comprehensively investigated the phenolic composition, antioxidant potential, and α-glucosidase inhibitory properties of B. aspera Steven ex Ledeb. extracts using integrated in vitro and in silico approaches. LC-MS/MS analysis identified seven major phenolic compounds, caffeic acid, chlorogenic acid, galangin, gallic acid, naringenin, p-coumaric acid, and rutin, with p-coumaric acid being the most abundant (306.71 mg/kg in aerial and 155.56 mg/kg in root extracts). Both extracts exhibited strong antioxidant and α-glucosidase inhibitory activities, particularly the aerial extract (IC50 = 0.678 and 0.173 for DPPH, ABTS, respectively and 0.022 mg/mL for α-glucosidase inhibition). Molecular docking and MM-GBSA analyses supported these findings, showing that p-coumaric acid had the strongest binding to α-glucosidase (–7.783 kcal/mol, ΔG = –47.76 kcal/mol), stabilized by key interactions with Asp-62, Arg-200, His-332, and Arg-400. A 250 ns molecular dynamics simulation confirmed the stability of the complex, and in silico ADME analysis revealed good oral absorption (67%) and compliance with Lipinski’s rule. Overall, results indicate that p-coumaric acid is the primary bioactive compound contributing to the antioxidant and α-glucosidase inhibitory activity of B. aspera, with promising potential as a natural lead for α-glucosidase inhibition.
- MakaleAçık Erişim2026Scopus SJRQ1Biochemical effects and theoretical study of a metformin in the carp (Cyprinus carpio) fry
İSPİR, Ünal; Tüzün, Burak; KIRICI, Muammer; Poustforoosh, Alireza; YONAR, Muhammet Enis; YONAR, Serpil MİŞE; ŞEKER, Engin
Pharmaceutical chemicals are frequently detected in wastewater, and metformin, an oral hypoglycemic agent, is among the most common. In this study, the effects of metformin on biochemical (total protein, glycogen, lipid) and antioxidant (malondialdehyde (MDA), glutathione (GSH), glutathione S-transferase (GST), catalase (CAT)) parameters were investigated in carp ( Cyprinus carpio ) fry. Fish were exposed to 40 and 80 µg/L metformin for 96 h, 14 and 21 days. No mortalities occurred in any group. At 80 µg/L for 21 days, total protein activity and lipid levels significantly decreased. Glycogen activity showed no significant differences compared to controls. Antioxidant parameters measured spectrophotometrically revealed that MDA levels, CAT and GST activities decreased with time but increased with dose, while GSH levels rose with time yet decreased with dose. Overall, significant time- and dose-dependent effects ( p < 0.05) were observed. In silico analyses were also performed. The activity of metformin against antioxidant proteins was evaluated, and molecular dynamics simulations confirmed strong interactions with the most active protein. ADME/T analysis provided pharmacokinetic insights, and Gaussian-based quantum chemical calculations (EHOMO, ELUMO, ΔE, dipole, etc.) characterized electronic and structural properties. These combined results indicate that metformin alters key biochemical pathways in carp fry and has significant reactivity toward antioxidant proteins. Findings suggest potential ecotoxicological risks in aquatic systems and relevance to pharmacological profiling.
AtıfScopus1OpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1Comparative effects of La2O3 and Sm2O3 on structural and radiation shielding properties of WO3 enriched borate glassy-ceramics
Taşgın, Yahya; Yılmaz, Demet; Kanca, M. Sait; Yayla, Nihal; Kök, Mediha; Güler, Ömer
This research comprehensively investigates the impact of incorporating rare earth oxides ‑samarium oxide (Sm2O3) and lanthanum oxide (La2O3)- into a borate glassy-ceramic system enriched with tungsten oxide (WO3), with a focus on both structural characteristics and radiation shielding performance. SEM-EDS, elemental mapping, and XRD analyses conducted on the synthesized glassy-ceramic samples revealed that the incorporated rare earth oxides, Sm2O3 and La2O3, were uniformly distributed throughout the glassy-ceramic matrix. The results also confirmed that the glassy-ceramic retained its inherently amorphous structure. Moreover, the nominal doping levels of the rare earth elements were found to be in agreement with both the qualitative and quantitative results obtained from EDS measurements. Also, the gamma ray shielding parameters of synthesized glassy-ceramic samples were measured in absorption geometry with Am-241, Ba-133 and Ra-226 radioactive sources. The neutron shielding parameters were theoretically calculated. The 241Am-Be fast neutron source was used to measure the equivalent dose of neutron absorption. At an incident photon energy of 74.8 keV, the mass attenuation coefficient of the tungsten oxide–enriched borate glassy-ceramic exhibited a remarkable improvement—rising by 17.98 % with the addition of 3 wt% Sm2O3 and by 11.58 % with the addition of 3 wt% La2O3. Notably, the N4 sample demonstrated a significant reduction in neutron-equivalent dose rate, reaching 19.80 % (μSv/h). The lead equivalent thicknesses (Pbeq) calculated at 356 keV were 0.02397 cmPb for N0, 0.0391 cmPb for N1, 0.0403 cmPb for N4, and 0.0389 cmPb for N7. When benchmarked against the undoped N0 sample, the N4 and N7 compositions exhibited reductions in Pbeq values by approximately 68 % and 62 %, respectively, indicating a marked improvement in gamma shielding efficiency. Among all tested formulations, the Sm2O3-doped variant demonstrated superior gamma-ray attenuation capability relative to the La2O3-doped glassy-ceramic. Furthermore, the N4 sample achieved an impressive thermal neutron attenuation rate of 96.46 %, underscoring its strong potential as an effective dual-purpose shielding material against both thermal neutrons and ionizing gamma radiation.
AtıfScopus1İncele - MakaleYalnız künye2026Scopus SJRQ1Modeling stack voltage and remaining useful life of proton exchange membrane fuel cells using deep neural networks
Dogan, Gurkan; Imak, Andaç
Currently, various energy conversion systems are being developed to reduce environmental impacts. Proton exchange membrane fuel cells (PEMFCs), which stand out with their high efficiency characteristics, have emerged as an important alternative. However, these advantages, along with high costs and uncertainties regarding remaining useful life (RUL) estimation, restrict their further commercialization, especially in the automotive industry. This study presents a forecasting framework using a long short-term memory (LSTM) architecture enhanced with the Bahdanau attention mechanism for predicting RUL and long-term degradation trends. The model thus exhibits a performance that can more effectively capture dependencies in time series and adaptively weight significant time steps. Furthermore, the tree-structured parzen estimator (TPE) was chosen for the appropriate selection of hyperparameters in the developed forecasting framework. The validity, stability, and performance of the proposed model under different operating conditions were examined on the FC1 and FC2 datasets. Experimental studies have shown that the proposed method is the most successful among the best methods, achieving RE metric values of 1.628 × 10−3, 0.003 × 10−1, 99.16 × 10−2, and 0.044 × 10−1 respectively in estimating the best RMSE, MAPE, R2, and RUL.
- MakaleYalnız künye2026Scopus SJRQ1Electrochemically assisted leaching of rare earth carbonates in non-aqueous green solvents: Solvent design, characterization, and process optimization
Cihangir, Salih
This study presents a systematic approach to the design, characterization, and application of non-aqueous green solvents (NAGSs) for the leaching of rare earth carbonate hydrates (RECHs). Four NAGSs based on choline chloride, ethylene glycol, and various carboxylic acids were synthesized and evaluated for their physicochemical and electrochemical properties. Among the evaluated formulations, the choline chloride–ethylene glycol–Na₂EDTA·2H₂O mixture (N1) and the chloride–levulinic acid mixture (N2) were found were found suitable for both traditional and electrochemically assisted leaching due to their optimal viscosity, conductivity, and electrochemical stability. Electrochemical assistance significantly enhanced leaching efficiency, with improvements ranging from 22 % to over 300 % for certain elements compared to conventional methods. Mechanistic investigations revealed that the application of an oxidative potential facilitates the protonation and dissolution of RECHs, likely through the generation of localized acidic environments and the formation of intermediate species. The FTIR analysis confirmed the dissolution of carbonate phases and the formation of rare earth–ligand complexes, particularly in the N1 system, where new bands associated with carboxylate and amine coordination were observed. Importantly, the proposed electrochemically assisted method can be applied to different primary or secondary sources in both aqueous and non-aqueous solutions. The results demonstrate the advantages of combining non-aqueous green solvents with electrochemical assistance as an environmentally benign alternative to conventional acid-based leaching, especially for challenging carbonate forms of rare earth elements. This work provides important guidelines for the development of sustainable hydrometallurgical processes, with future directions including solvent recyclability, selective recovery, and environmental assessment.
AtıfScopus2WoS2İncele - MakaleYalnız künye2026Scopus SJRQ3Diverse optical soliton solutions to the generalized resonant nonlinear Schrödinger equation through an integral method
Atas, Sibel Sehriban; Ali, Karmina K.
This paper is concerned with the generalized resonant nonlinear Schrödinger equation with an arbitrary index, which describes ultra-short pulse propagation in optical fibers. The study uses the main integration method: the modified generalized Riccati equation mapping method, to construct and analyze combined forms of optical soliton solutions. The results are multifaceted, revealing a variety of optical soliton solutions, such as rational solutions in hyperbolic functions, combined solutions of hyperbolic and trigonometric functions, bright, singular, , kink-shaped, smooth kink, and periodic singular. Moreover, two-dimensional, three-dimensional, and contour graphs of some obtained optical soliton solutions are plotted to illustrate the importance of the generalized resonant nonlinear Schrödinger equation, using suitable values of physical parameters. Two-dimensional graphs are used to illustrate the dynamic behavior of the solutions, taking into account the impact of the nonlinear index n and the time parameter t. The obtained optical solutions are considered novel and most likely have not been reported in the literature before.
AtıfScopus1OpenAlex1İncele - MakaleYayıncıda açık erişim2026Scopus SJRQ1Radon anomalies environmental radiation transfer and radiological risk assessment in a fault controlled Lake system
Dartay, Mürşide; Yılmaz, Mücahit; Kırat, Güllü
This study investigates the coupling between radon (222Rn) anomalies, seismic activity, hydrogeochemical transport, and radiological risk in Lake Hazar, an active fault controlled lake located along the East Anatolian Fault Zone (EAFZ), Türkiye. Soil gas and dissolved 222Rn concentrations were periodically monitored on a monthly basis from September 2024 to August 2025 using a DURRIDGE RAD7 detector coupled with RAD H2O accessories and the results were evaluated with regional seismicity within a 50 km radius. Natural radionuclide activities (40K, 238U, and 232Th) were determined using 2″ × 2″ NaI(Tl) well-type gamma spectrometry detector. 222Rn anomalies were assessed using μ + σ, μ + 2σ thresholds, the Standardized Radon Index (SRI), and the Dobrovolsky preparation radius model. Soil 222Rn ranged from 87.6 to 541.8 Bq/m3, with the highest value (SRI = 2.81) recorded in September 2024, approximately one month before the Mw 6.0 earthquake in October 2024. Although this temporal coincidence is consistent with previous observations reported for tectonically active regions, the present dataset does not allow a definitive causal interpretation. Dissolved 222Rn varied from 34.1 to 69.8 Bq/L and showed delayed but detectable responses during periods of Mw ≥ 5 seismic activity. Radiological indices calculated for fish tissues remained far below international safety thresholds: Hin and Hex were < 1, Raeq values were substantially lower than the recommended limit of 370 Bq/kg, and absorbed dose rates were below the global average value of 59 nGy/h reported by UNSCEAR. In addition, annual effective dose values from fish muscle consumption remained well below the public exposure limit of 1 mSv/year recommended by ICRP, and ELCR values were within the low risk range commonly used in environmental radiological assessments. These findings indicate that active fault controlled lake systems may provide integrated environmental settings where tectonic stress, 222Rn migration, aquatic radionuclide transfer, and radiological exposure processes interact. Novelty statement: This study presents an integrated environmental investigation of soil gas and dissolved water 222Rn variability, radionuclide transfer in aquatic biota, and radiological risk assessment within the tectonically active Hazar Lake system located on the East Anatolian Fault Zone (EAFZ), Türkiye. The novelty of the present study lies in the following aspects: • Simultaneous evaluation of soil and dissolved water 222Rn anomalies together with seismic activity in a fault controlled lake ecosystem. • Application of the Standardized Radon Index (SRI) approach for normalized temporal interpretation of radon anomaly behavior in both soil gas and aqueous environments. • Integration of tectonic hydrogeochemistry with environmental radioactivity and aquatic radionuclide transfer assessment. • Combined investigation of radon anomaly behavior and radionuclide accumulation in fish tissues within the same tectonically active environmental system. • Inclusion of radiological risk indices (Hin, Hex, Raeq, Iγ, AGED) together with internationally accepted reference values for environmental and public health interpretation. • Development of a multidisciplinary environmental monitoring framework linking lithospheric, hydrospheric, and biospheric processes in active fault controlled lake environments. To the best of our knowledge, this is among the limited studies combining 222Rn anomaly monitoring, aquatic radionuclide transfer, and radiological risk assessment within an integrated tectonic lake ecosystem framework.
- MakaleYalnız künye2026Scopus SJRQ1Engineering high-performance BiSeTe ultra-thin film on flexible FEP
Yüzüak, G. Durak; Yüzüak, E.
Flexible thermoelectric (TE) devices hold great promise for powering wearable electronics by harvesting the temperature difference between human skin and the environment. Conventional Bi2Te3, although efficient, suffers from rigidity and limited suitability for flexible applications, while organic alternatives typically lack sufficient TE performance. Here, we demonstrate an n-type BiSeTe thin film deposited on a flexible fluorinated ethylene propylene (FEP) substrate, incorporating a Cr buffer layer, achieving a room-temperature power factor of ∼3.9 μW.cm−1.K−2, which is within the range reported for flexible thin-film TE devices on polymer substrates. The film exhibits excellent mechanical resilience, retaining 90 % of its initial conductivity after 5000 bending cycles, and shows high thermal stability over 50 heating–cooling cycles with deviations below 1.5 %. A four-leg n-type prototype generates 10 mV and 70 nW at ΔT = 40 K, demonstrating its potential for powering low-energy wearable sensors. This work presents a scalable inorganic thin-film TE platform that effectively balances mechanical flexibility, device stability, and practical energy conversion performance for wearable and localized power generation applications.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Sustainable hybrid activation: Synergistic effects and optimization of one-part alkali-activated slag using sodium sulfate and sodium carbonate
Orhan, Taha Yusuf; Balun, Bilal; Dener, Murat; Karataş, Mehmet
The development of one-part alkali-activated materials (AAMs) using near-neutral and moderately alkaline salts offers a promising, low-carbon alternative to hazardous two-part systems. However, overcoming delayed reaction kinetics and setting anomalies remains a critical challenge. This study systematically investigates the fresh state, mechanical, and microstructural evolution of one-part slag mortars activated by sodium sulfate (Na2SO4), sodium carbonate (Na2CO3), and their hybrid combinations, adopting a hybrid binder approach through modification with calcium-rich additives (Portland cement, hydrated lime, and quicklime). Results demonstrate that while Portland cement ensures a controlled dissolution rate and balanced setting times across all environments, the incorporation of 7.5% quicklime in pure carbonate media triggers an instantaneous flash set. This extreme reactivity leads to a severe structural collapse, plunging the 90-day compressive strength to 16.11 MPa. Microstructural analyses (TGA and FTIR) suggest a link between this mechanical failure and a massive accumulation of unreacted portlandite (4.51% mass loss) rather than cohesive C-(A)-S-H gel formation, a degradation further corroborated by a drastic attenuation in ultrasonic pulse velocity (UPV). Conversely, the synergistic implementation of hybrid sulfate-carbonate activators effectively mitigates these anomalies. Sulfate ions buffer early-age kinetics to prevent flash setting-recovering the collapsed strength up to 29.16 MPa while carbonate ions facilitate sustained late-age matrix densification. Ultimately, tailoring specific calcium boosters within a hybrid activator framework presents a highly robust and potentially low-carbon framework for developing sustainable binders for practical on-site construction applications.
AtıfScopus3WoS2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1“A combined experimental numerical statistical framework to characterize fracture behavior of asphalt mixtures”
Atar, Muhammed; Ince, Ragip; Bakhshizadeh, Majid; Pirmohammad, Sadjad; Furtana Yalcin, Beyza; Yilmaz, Mehmet
This study investigates the fracture and viscoelastic behavior of asphalt mixtures through a combined experimental, numerical, and statistical approach. Semi Circular Bend (SCB) tests were performed on specimens with notch lengths of 10, 20, and 30 mm at two temperature levels (0 °C and room temperature) to determine fracture toughness (KIc), fracture energy, and stiffness parameters. The Extended Finite Element Method (XFEM) was employed to simulate crack initiation and propagation, providing a close match with experimental SCB results under various thermal and geometric conditions. To further interpret the effects of temperature and crack geometry, the Response Surface Methodology (RSM) was applied to the experimental data, enabling the identification of key interaction effects and optimization of fracture parameters. The results demonstrated that decreasing temperature and increasing notch length notably reduced fracture resistance, while XFEM accurately represented the nonlinear crack propagation observed in laboratory testing. Moreover, RSM provided predictive equations that were in strong agreement with XFEM outcomes. The proposed integrated SCB-XFEM-RSM framework presents an efficient and reliable methodology for evaluating and optimizing the fracture performance of asphalt mixtures, offering valuable insights for the design of durable and sustainable pavement systems under diverse environmental conditions.
AtıfScopus3OpenAlex3İncele - MakaleYalnız künye2026Scopus SJRQ2Structural evolution and dual γ–neutron shielding performance of nano-Gd2O3 reinforced lithium borotellurite glasses
Durmus, Hasan; Kilic, G.; Ilik, E.; Kavaz, E.; Güler, Ömer; Birdogan, Selcuk; ALMisned, Ghada; Tekin, H.O.
This study investigates the structural, physical, and radiation-shielding properties of nano-Gd2O3-reinforced lithium borotellurite glasses with the composition 50TeO2-30B2O3-(20-x)Li2O-xGd2O3 (x= 0-10 mol %). X-ray diffraction and transmission electron microscopy confirmed the fully amorphous nature of the glasses and the homogeneous distribution of nanoscale Gd clusters. Density increased from 4.03 to 4.77 g/cm3, accompanied by compositional shifts, decreasing boron and increasing oxygen and tellurium contents, indicating enhanced structural compactness and electron density. Gamma-ray attenuation measurements revealed a 74 % increase in the linear attenuation coefficient from 8.33 to 14.53 cm−1 at 81 keV and a nearly 27 % reduction in the half-value layer from 1.21 to 0.89 cm. Effective atomic number values remained highest for Gd(n)10 across the photon energy range investigated. Experimental neutron dose measurements showed absorption improvements from 37.66 % to 51.91 %, while the effective removal cross-section increased from 0.1066 to 0.1096 cm−1, outperforming water, B4C, and graphite. Compared with the Gd-doped zinc borotellurite glasses reported in the literature, the present lithium-based system exhibited higher densification and superior dual γ-neutron attenuation. These results demonstrate that controlled nano-Gd2O3 integration into the lithium borotellurite matrix yields a stable, lead-free amorphous material with outstanding radiation-shielding efficiency for advanced photonic and nuclear applications.
AtıfScopus3OpenAlex3İncele - MakaleYalnız künye2026Scopus SJRQ2Institutions, gendered informality, and intrahousehold distribution: A dual-economy model
Ateş-Saygılı, Çiğdem
We study how enforcement institutions shape formalization and the intrahousehold distribution of resources in a developing economy. The model combines an enforcement wedge inside informal technology, gendered formal-attachment margins, and a collective household with a state-dependent female Pareto weight. In the benchmark wage-responsive specification, enforcement raises formalization by compressing informal wages and reallocating work toward formal jobs. Yet aggregate formalization and women's intrahousehold gains need not move together. When women are more exposed to informality and men convert the induced formal-to-informal wage ratio into formal attachment more strongly in level terms, enforcement can lower women's relative earnings, relative formal status, the female Pareto weight, and the consumption ratio during adjustment. An exact effective-access transition and local calculations for the effective-access and reduced-form labor-disutility margins show that this adverse incidence can be offset within the model while preserving formalization gains. Descriptive quarterly evidence for Türkiye documents gendered dynamics in non-agricultural social-security non-registration around salient macroeconomic and institutional episodes. The empirical evidence motivates the labor-market exposure and access channels but does not observe household bargaining or individual consumption.
- MakaleAçık Erişim2026Scopus SJRQ2Corrosion behavior and constant load scratch adhesion properties of CeO2 doped ceramic composite layer via micro arc oxidation on Al 1050 alloy
Ayday, Aysun; Durmaz, Mustafa; Duru, Erhan; Kırsever, Derya; Doğan, Fatih
In this study, CeO2-doped ceramic coatings were produced on Al 1050 alloy by micro-arc oxidation (MAO) using a silicate-alkaline electrolyte containing 0, 0.5, 1, and 2% CeO2. The aim was to investigate the effect of CeO2 addition on the microstructure, phase composition, corrosion behavior, and constant-load scratch adhesion performance of the coatings. Surface characterization was carried out by SEM, EDS, XRD, and 3D profilometry, while corrosion performance was evaluated by potentiodynamic polarization and electrochemical impedance spectroscopy in 3.5 wt% NaCl solution. Scratch tests were also performed to assess the mechanical integrity of the coatings. The results showed that increasing CeO2 content improved coating uniformity, reduced surface roughness and porosity, and promoted the formation of a denser oxide structure. XRD analysis confirmed that γ-Al2O3 was the predominant alumina phase in all coatings, while Ce-containing species were incorporated into the oxide layer without forming additional detectable phases. Electrochemical results revealed that CeO2 addition significantly improved corrosion resistance by lowering the corrosion current density and increasing the polarization resistance. Scratch test results further showed improved adhesion-related behavior with reduced crack formation and surface damage. Overall, CeO2 addition effectively enhanced both the corrosion protection and mechanical performance of MAO coatings on Al 1050 alloy.
AtıfScopus1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ1Exogenous methyl jasmonate delays quality loss and maintains bioactive compounds in quince during long-term storage
Hanci, Mehmet Utku; Ozturk, Ahmet; Aglar, Erdal; Olcer, Mehmet Ali; Ozturk, Burhan
Quince (Cydonia oblonga Mill.) is a climacteric fruit species that, despite its high nutritional value and rich phenolic composition, is prone to quality changes during postharvest handling. However, under appropriate storage conditions it can be maintained at acceptable quality for several months. This study aimed to assess the effects of exogenous methyl jasmonate (MeJA) treatments on quality attributes, and phenolic metabolism of quince fruit during cold storage. Fruits were treated with 0 (control), 0.5, and 1.0 mM MeJA and stored at 0 ± 1 °C with 90 ± 5% relative humidity for 120 days. Analyses were conducted at 30-day intervals, including physiological, phytochemical, and antioxidant activity, as well as individual phenolic compounds. During cold storage, fruits treated with 1.0 mM methyl jasmonate (MeJA) exhibited lower weight loss and respiration rate. Higher fruit firmness was also observed in MeJA-treated fruits. At the end of storage, MeJA-treated fruits showed higher vitamin C content and titratable acidity, but lower soluble solids content than the control fruits. Similarly, at 60 and 90 days of storage, fruits treated with 1.0 mM MeJA were found to contain higher levels of total phenolics, total flavonoids, and antioxidant activity. Among the phenolic acids identified in quince fruit, chlorogenic acid and 4-aminobenzoic acid were present at higher concentrations compared to the other phenolic compounds. At the end of the storage, MeJA-treated fruits generally exhibited a slower decline in phenolic acids compared to the control, indicating a protective effect of the treatment on phenolic stability. As a result, methyl jasmonate applications were identified as an effective strategy for reducing post-harvest quality losses and preserving bioactive compounds in quince fruit. Specifically, the 1.0 mM MeJA application showed the strongest protective effect on quality parameters. These findings indicate that MeJA is a commercially viable method for extending shelf life and preserving quality in quince fruit.
- MakaleYalnız künye2026Scopus SJRQ1FedMedIDS: A non-IID-resilient federated DCNN framework for securing IoMT and IoHT devices
Gencer, Burak; Dogan, Gurkan
The diversity of devices in the Internet of Medical Things (IoMT) and Internet of Health Things (IoHT) networks creates significant security vulnerabilities against cyberattacks. Traditional centralized machine learning approaches, however, are not always suitable for these environments due to data privacy regulations. In this study, a new Deep Convolutional Neural Network (DCNN) architecture is proposed for attack detection in IoMT/IoHT networks. The proposed architecture integrates the Residual Squeeze-and-Excitation (RSE) Block, the Squeeze-and-Excitation attention mechanism (SEM), and a one-dimensional multi-pooling approach. The model was evaluated within a federated learning (FL) framework called Federated Medical Intrusion Detection System (FedMedIDS), which preserves data privacy and demonstrates robustness in heterogeneous client scenarios. Four different training strategies—Centralized, FedAvg, FedProx, and Local-Only—were adopted for the evaluations. The proposed model and existing models were tested on the Canadian Institute for Cybersecurity – Internet of Medical Things 2024 (CICIoMT2024) and Edith Cowan University – Internet of Health Things (ECU-IoHT) datasets and compared with current deep learning models. The DCNN proposed for the CICIoMT2024 dataset and a Dirichlet distribution with α = 1.0 achieved F1 scores of up to 99.92% under FedAvg and 94.64% under FedProx with α = 0.5. At α = 0.05, the highest level of heterogeneity, it outperformed the Long Short-Term Memory (LSTM) by as much as 27%. On the ECU-IoHT dataset, F1 scores of up to 89.57% under FedAvg and 89.50% under FedProx were achieved at α = 1.0. This represents an improvement of up to 37% over LSTM at the same level of heterogeneity.
- MakaleYalnız künye2026Scopus SJRQ1Evaluation of rainbow trout response to the optimal anesthetic concentration of citronella oil (Cymbopogon nardus) predicted by artificial neural network
Minaz, Mert; Félix, Luís M.; Er, Akif; Köse, Özay; Ak, Kübra; Alparslan, Cem; Serdar, Osman; Aydın, Baki; Kurtul, Irmak; Hoseini, Seyyed Morteza
Anesthesia practices in aquaculture are important for preventing potential stress in fish. For this purpose, interest in natural anesthetic agents as substitute for currently used synthetic anesthetics has increased. In this context, the present study demonstrated the anesthetic efficacy of citronella oil (Cymbopogon nardus) in rainbow trout (Oncorhynchus mykiss) individuals. Based on an artificial neural network (ANN) model derived from preliminary studies, the optimal anesthetic concentration for rainbow trout individuals was estimated as 90 μL L−1. Validation of the concentration predicted by ANN revealed no time-dependent hematological or histological effects on fish to citronella oil. Furthermore, biochemical tests revealed that the partial post-anesthesia increase in ALT and AST values was transient and negligible in light of histological findings. Although oxidative stress was observed during the acute period, the enzymatic activity of SOD and CAT effectively reduced the oxidative damage, demonstrating their role in protecting the fish from oxidative stress. The antioxidant activity observed was temporary, returning to baseline levels without any accompanying tissue damage at the tested concentration. Behavioral monitoring further indicated a swift reduction in motor activity followed by a smooth recovery process, with no evident signs of stress or avoidance behaviour. Overall, these results position citronella oil as a promising natural anesthetic for rainbow trout under the studied parameters. That said, further studies involving various solvents, temperature ranges, and fish species are necessary to comprehensively establish its efficacy and safety.
AtıfScopus4İncele - MakaleYalnız künye2025Scopus SJRQ1Effect of light and noise pollution on oxidative stress and proximate composition in Dreissena polymorpha
Serdar, Osman; Demirtaş Erol, Nida; Aydin, Ayşe Nur
In this study, it was aimed to determine the effect of sound and light pollution on Zebra mussel (Dreissena polymorpha) by biomarker and nutritional composition. For this purpose, an experimental design was carried out in laboratory conditions where the model was exposed to live sound, light, and combined sound + light parameters for 30 min every hour over 96 h. Changes in the biomarkers superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) activities, as well as glutathione (GSH) and thiobarbituric acid (TBARS) levels, were assessed in the model organism exposed to sound, light, and sound + light pollution. The changes in protein and fat amounts were determined. When the changes in biomarkers were examined statistically compared to the control, there was no significant decrease in SOD activity (p < 0.05), a significant increase in CAT activity in sound and sound+light, but a significant decrease in light (p < 0.05), no significant difference in GPx activity (p > 0.05). It was determined that there was a significant increase in GSH and TBARS levels in all three parameters. Significant changes were also observed in the proximate composition. As a result, exposure to sound, light and sound+light pollution caused an increase in oxidative damage and decreases in protein and lipid composition were detected.
AtıfScopus7WoS6OpenAlex8İncele - MakaleAçık Erişim2025Scopus SJRQ2Unraveling user perceptions and biases: A comparative study of ML and DL models for exploring twitter sentiments towards ChatGPT
Baker, Mohammed Rashad; Utku, Anil
ChatGPT is a powerful chatbot that used to generate human-like text. Chat GPT, developed by OpenAI, can answer many questions honestly, like a personal teacher who knows almost everything. It can perform various tasks such as question and answer, solving mathematical equations, writing text, debugging, and translating between languages. Compared to traditional chatbots, ChatGPT has been adopted by many users since its introduction. Some users feel that ChatGPT will override most content creation professions. This study analyzed users’ feelings about ChatGPT by analyzing tweets shared about ChatGPT. For this purpose, a hybrid Deep Learning (DL) model was developed using Convolutional Neural Networks (CNN) and Bi- Long Short-Term Memory (Bi-LSTM) models. The study has been compared with a number of DL and Machine Learning algorithms, LSTM, Bi-LSTM, CNN, Gated Recurrent Unit, Random Forests and Support Vector Machines. The experimental outcomes demonstrated that, the FastText-trained CNN-Bi-LSTM model exceeded the other models in terms of accuracy, reaching 96.59%.
AtıfScopus18WoS11OpenAlex13İncele - MakaleAçık Erişim2025Scopus SJRQ1Modeling water infiltration into soil under fractional wettability conditions
Di Prima, Simone; Stewart, Ryan D.; Abou Najm, Majdi R.; Yilmaz, Deniz; Comegna, Alessandro; Lassabatere, Laurent
The heterogeneous distribution of water-repellent materials at the soil surface causes a phenomenon known as fractional wettability. This condition frequently triggers destabilization of the wetting front during water infiltration, resulting in the formation of fingered bypass flow. However, few analytical tools exist to understand and model this behavior. Moreover, existing infiltration models fail to fit certain infiltration curves that exist in experimental data. For these reasons, we introduce a novel infiltration model to simulate water infiltration under fractional wettable conditions. We conceptualize the soil surface as a composite of two distinct portions: a water-repellent fraction, where hydrophobic effects impede water infiltration, and a wettable fraction, where capillarity and gravity are the dominant forces controlling the process. The new model was validated using a dataset comprising infiltration data from 60 field measurements. Additionally, validation was performed using 660 analytically generated infiltration curves from six synthetic soils with varying textures. This innovative approach enabled us to account for the combined influence of these two fractions and to enhance the interpretation of infiltration curves with mixed shapes, which other common methods are unable to reproduce.
AtıfScopus8OpenAlex9İncele - MakaleAçık Erişim2025Scopus SJRQ2Synthesis and characterization of oligomers contain phenylhydrazyne unit via oxidative polycondensation: Adsorption studies, kinetic modeling and validation methods
Bayır, Erdal; Solmaz, Adnan; Kaya, İsmet; Yağmur, Hatice Karaer
In this study, 4-((2-phenylhydrazono)methyl)benzene-1,2-diol (4-PHBD) Schiff base was obtained from the condensation reaction between 3,4-dihydroxybenzaldehyde (3,4-DHBA) and phenylhydrazine (PH). The obtained Schiff base (4-PHBD) was polymerized using H2O2, NaOCl, and O2 oxidants in an aqueous basic medium (10 % KOH) and 4-PHBD was converted to o-(4-PHBD)-P (by H2O2 oxidant), o-(4-PHBD)-H (by NaOCl oxidant) and o-(4-PHBD)-O (by O2 oxidant). The structures of Schiff base and oligomers were characterized with FT-IR, NMR, SEM, TGA, UV-Vis, CV and GPC measurements. The Cyclic Voltammetry and UV-Vis measurements were used to ascertain the compounds' optical (Eg) and electrochemical (Eg’) band gaps, respectively. The Eg values of o-(4-PHBD)-P, o-(4-PHBD)-O and o-(4-PHBD)-H were found be 2.99, 2.63 and 3.26 eV, respectively. o-(4-PHBD)-O was used as an adsorbent in the removal of methylene green (MG) from an aqueous solution. The obtained data were applied to pseudo-first order and pseudo-second order kinetic models. It was determined that the adsorption process obeyed the pseudo first order kinetic model. The kinetic model was validated with R2, RMSE, SSE, SD, Δqe (%), MSE and ARE validation methods. The activation energy (Ea) was calculated as 7.31 kJ mol−1 using the Arrhenius equation. It was determined that the adsorption of MG on o-(4-PHBD)-O was physical adsorption.
AtıfScopus4WoS4OpenAlex3İncele