Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Gul, Muhammet(110)
- Güler, Ömer(70)
- Akkurt, Nevzat(69)
- Serdar, Osman(57)
- Yucesan, Melih(55)
- Celik, Erkan(53)
- Tekin, H.O.(52)
- ALMisned, Ghada(49)
- Bulut, Hasan(49)
- Baskonus, Haci Mehmet(48)
- Paksoy, Mehmet Yavuz(46)
- Yildirim, Numan(45)
- Kocabaş, Mehmet(41)
- Yildirim, Nuran Cikcikoglu(41)
- Zengin, Gokhan(40)
- Alataş, Mevlüt(39)
- Ince, Muharrem(38)
- Benzer, Fulya(37)
- Mete, Suleyman(34)
- Aslan, Naim(33)
- Kutlu, Banu(33)
- Yildirim, Ozal(33)
- Topal, Murat(32)
- Tanyol, Mehtap(30)
- Batan, Nevzat(28)
- Özkul, İskender(28)
- Kök, Mediha(27)
- Utku, Anıl(27)
- Can, Erkan(26)
- Danabas, Durali(26)
- Sulaiman, Tukur Abdulkadir(26)
- Ates, Mehmet(25)
- Ezer, Tülay(25)
- Guler, Omer(25)
- Kutluyer, Filiz(25)
- Say, Yakup(25)
- Serin, Faruk(25)
- Erguven, Gokhan Onder(24)
- Onat, Onur(24)
- Cakilcioglu, Ugur(23)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1EBA-Net: A hybrid EfficientNetB3-BiLSTM-Attention model for species-level diatom classification
Balo Utku, Esen Damla; Kutlu, Banu; Utku, Anil
Species identification in diatoms is important for assessing water bodies, determining environmental quality, and analyzing biodiversity. Nonetheless, diatom classification has proven difficult due to intra-class variation, interclass similarity, and data imbalance in microscopic images. In this regard, we propose a new deep learning approach for species-level diatom classification. Various deep learning models, including traditional convolutional neural networks or CNNs (ResNet50, DenseNet121), state-of-the-art CNNs (EfficientNetB3, Xception, MobileNetV3), transformer-based architectures (ViT-B16, Swin-Tiny), and our proposed EBA-Net (EfficientNetB3-BiLSTM-Attention Network), were extensively compared under identical experimental settings. The EBA-Net integrates the advantages of convolutional feature extraction, sequence modeling, and an attention mechanism to improve classification accuracy. It first uses the EfficientNetB3 model as the backbone network to obtain higher-level features, followed by a BiLSTM layer to capture dependencies among the extracted features. Then, it applies the attention mechanism to the BiLSTM output to highlight the most informative features. Experimental results showed that the proposed EBA-Net model outperforms other models considered in the study, yielding 95.8% accuracy and 85.1% macro F1-score. In addition, Top-3 (98.9%) and Top-5 (99.6%) accuracies confirmed the efficiency of the proposed model for classifying objects from visually similar classes. An analysis of the model's interpretability was conducted using Gradient-weighted Class Activation Mapping, showing that the proposed model's attention is concentrated on relevant morphological features of diatoms. To the best of our knowledge, the suggested approach achieves state-of-the-art accuracy on the data set of diatoms used.
- MakaleYalnız künye2026Scopus SJRQ2Damage diagnosis in CFRP/Al7075-T6 aeronautical structures using piezoelectric sensors: characterization and experimental monitoring
Gahlouz, Ibtissem; Guemmour, Mohamed Boutkhil; Chellil, Sadek; Chellil, Ahmed; Houari, Amin; Aribi, Chouaib; Polat, Alper; Adjout, Warda; Bey, Mohamed
Purpose – This study aims to design a damage detection and characterization system (targeting cracks and delamination) for aeronautical composite structures. Design/methodology/approach – This methodology relies on a multidisciplinary approach combining polymer-reinforced/metallic carbon fiber hybrid structures with an integrated network of PZT sensors. It leverages experimental data and employs advanced signal processing and imaging techniques to monitor structural integrity and assess the severity of damage. Findings – Verified experimental results confirm the method's reliability in real-life situations. Research limitations/implications – Research Limits: “The primary challenges involve signal processing complexity due to the hybrid nature of AL7075-T6 and CFRP materials, as well as the potential influence of environmental factors (temperature, pressure) on PZT sensor reliability”. Research Implications: “This work enables a shift toward condition-based maintenance, significantly reducing operational costs while enhancing structural safety and extending the service life of critical aerospace and maritime assets.” Practical implications – This study enables a shift from scheduled to real-time structural monitoring. There is a drastic reduction in inspection time and aircraft downtime. Monitoring the fatigue of hybrid AL/CFRP structures helps to safely extend their service life. The study helps in providing precise diagnostics to optimize repair strategies and minimize human error. Social implications – There is a drastic reduction of structural failure risks through early-stage damage detection. Cost savings in maintenance can lead to more affordable air travel for the general public. The study helps in promoting a circular economy by safely extending the lifespan of complex structures and reducing material waste and also in shifting maintenance roles toward high-tech data analysis and specialized software expertise. Originality/value – The study investigates the complex damage mechanics at the interface of AL7075-T6 and CFRP laminates and helps in combining PZT sensor networks with advanced imaging software for real-time damage characterization. Beyond mere detection, the system assesses “structural criticality, ” providing high-value diagnostic data for maintenance optimization and cost reduction.
- MakaleAçık Erişim2026Scopus SJRQ4INTEGRATED BIOLOGICAL TREATMENT AND ELECTROCOAGULATION FOR SLAUGHTERHOUSE WASTEWATER: A NOVEL APPROACH USING FRESHWATER SNAILS (Viviparus contactus, Planorbis rubrum, Melanoides tuberculata)
Öğedey, Ayşenur; Kocabaş, Filiz Kutluyer; Kizak, Volkan; Kocabaş, Mehmet; Benzer, Fulya; Erişir, Mine; Öğedey, Hayrullah
As a potential pollution source, slaughterhouse wastewater (SWW) with development of the meat production and processing sector is a threat in the world. Therefore, the determination of economical, favourable, cost-effective and proper treatment method is crucial for sustainable environmental protection. This study focused on the performance and efficiency of a two-stage process combining biological treatment (BT) with freshwater snails and electrocoagulation (EC) of SWW. Viviparus contectus, Planorbis rubrum, Melanoides tuberculata were used in primary treatment while secondary treatment was realized with EC process. The EC of SWW was performed for reducing both turbidity and chemical oxygen demand (COD) concentration to levels compliant with direct-discharge regulations. In addition, the stirring speed, current density, initial pH and reaction time were assessed for evaluation the optimum EC condition. Oxidative stress biomarkers and some antioxidants were assessed in freshwater snails exposed to SWW after 24 and 96 h. The best removal efficiencies of COD (91.43%) and turbidity (92.42%) were obtained at pH 5 and 20 min of operational time by P. rubrum. Notably, MDA (Malondialdehyde) was highest level in M. tuberculata compared to V. contectus and P. rubrum. Overall, removing organic and inorganic pollutants from SWW could be provided with the hybrid process BT/EC as a combining approach.
- MakaleYalnız künye2026Scopus SJRQ1Mechanical and durability properties of sustainable alkali-activated mortars with ceramic insulator waste and andesite powder as partial substitutes for GBFS
Cemalgil, Selim; Yön, Merve Şahin; Dener, Murat; Karataş, Mehmet
This study explores the use of andesite powder (AP) and ceramic waste powder (CWP), derived from discarded electrical insulators, as supplementary precursors to ground granulated blast furnace slag (GBFS) in alkali-activated self-compacting mortars. The originality of the work lies in the combined utilization of these regionally sourced aluminosilicate wastes in binary and ternary binder systems, aiming to reduce GBFS dependency while ensuring adequate mechanical and durability performance. AP and CWP were used to replace GBFS at up to 50%, and the mixtures were evaluated for flowability, mechanical strength, density, porosity, water absorption, and capillary sorptivity. Durability was assessed through freeze–thaw cycling and high temperature exposure, and microstructural characteristics were examined using scanning electron microscope analysis. Results showed that while partial substitution with AP or CWP reduced compressive strength compared to the GBFS control, the incorporation of CWP in ternary systems partially compensated for the strength losses associated with AP. High temperature resistance improved markedly with increased CWP content; at 900°C, the 50% CWP mixture retained 44% of its original compressive strength, in contrast to 8% for the control. Although all mixtures containing waste exhibited reduced freeze–thaw resistance, mortars containing CWP exhibited superior performance compared to those with only AP. These findings highlight the potential of CWP, particularly in ternary systems, for developing sustainable alkali-activated mortars.
AtıfScopus16WoS14OpenAlex12
İncele - MakaleYalnız künye2026Scopus SJRQ2Investigation of the effect of ultrasonic assisted milling and minimum quantity lubrication methods on the machinability of Hardox 500 steel
Dalgıç, Aras; Mahmat, Aybars
Hardox steel is widely used in agriculture, mining and transportation due to its mechanical properties such as high wear resistance, high impact resistance, high hardness, high durability and long life. The machinability of Hardox 500 is difficult as its high hardness and wear resistance lead to tool wear and low machining speed. Recently, various processing and cooling methods have been developed to increase machinability. Ultrasonic assisted milling (UAM), one of these methods, is a method used as an alternative to conventional milling (CM) in the milling of traditionally difficult-to-machine materials. In addition, minimum quantity lubrication (MQL) is a cooling method used to provide lubrication and cooling in the cutting area. In this study, the impacts of machining method, feed rate and spindle speed on cutting force, surface roughness and tool wear in milling of Hardox 500 steel were investigated. In the MQL method, mixtures with nano-sized SiC particles were obtained and applied to the cutting area. In the study, MQL reduced cutting forces by up to 19 %, surface roughness by 18 %, and tool wear by 30 % compared to dry machining, while UAM further decreased cutting forces by 17 %, surface roughness by 15 %, and tool wear by 12 % compared to CM. These results demonstrate that MQL and UAM significantly enhance machining performance over conventional and dry methods.
- MakaleYalnız künye2026Scopus SJRQ1Mineralogical and geochemical controls on Co-V-Pt-Ni enrichment in manganese mineralization: evidence from the Dilli deposit, Eastern Türkiye
Gücer, Mehmet Ali; Çimen, Okay; Aktağ, Alican; Keskin, Serdar
The growing demand for critical minerals driven by the global energy transition and advanced technologies highlights the importance of unconventional metal reservoirs. This study investigates the Ni-, Co-, V-, and Pt-enriched Dilli manganese deposit (Kemaliye-Erzincan, Eastern Türkiye) to constrain the mineralogical, geochemical, and genetic controls on critical metal enrichment in Mn oxide mineralization. An integrated approach combining field observations, petrography, X-ray diffraction (XRD), whole-rock geochemistry, mineral chemistry, and stable C-O isotope analysis was applied to better understand the potential origin of critical mineral enrichments. The mineralization is dominated by Mn4+-bearing oxides, principally pyrolusite and hollandite, accompanied by minor rhodochrosite. High MnO (39-64 wt%) and very low Al2O3 and Fe2O3 contents indicate chemical precipitation with negligible detrital input. Discrimination diagrams and trace-element systematics consistently support a structurally controlled hydrothermal origin. Chondrite-normalized REE patterns display low total REE and very low Nd contents comparable to typical hydrothermal deposits, whereas neutral to slightly positive Ce anomalies and non-chondritic Y/Ho ratios suggest limited oxidative interaction with surface-derived fluids rather than primary marine hydrogenetic growth. Stable C–O isotope compositions of co-genetic calcite are inconsistent with a purely marine depositional environment and indicate precipitation from low-to moderate-temperature hydrothermal fluids. Mineral chemistry reveals strong phase-specific partitioning: hollandite preferentially incorporates V and Ba, whereas pyrolusite is enriched in Ni. Cobalt occurs in both phases, whereas Pt may also be present in both Mn oxide phases, suggesting that trace-element distribution is influenced by both crystallochemical and physicochemical controls. The enrichment of Ni, Co, and Pt is most plausibly linked to hydrothermal fluid circulation through ultramafic units, which likely acted as the primary metal source prior to precipitation. The Dilli deposit thus represents a structurally controlled hydrothermal Mn system enriched in critical metals, emphasizing the exploration relevance of Mn oxide mineral chemistry in identifying alternative sources of critical metals in Türkiye.
- 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 SJRQ2High-entropy rare-earth tungstate (PrEuYLaSm)2(WO4)3: Synthesis, physical, structural evolution and shielding properties
Durmus, Hasan; Özkul, İskender; Güler, Ömer; Güler, Seval Hale; Baykal, Duygu Sen; ALMisned, Ghada; Tekin, H.O.
In this study, a novel high-entropy rare-earth tungstate, (PrEuYLaSm)2(WO4)3, was synthesized by high-energy ball milling followed by calcination, and its structural, microstructural, thermal, gamma-ray, and neutron shielding properties were systematically investigated. X-ray diffraction results revealed that ball milling induced partial amorphization of the initial oxide mixture, while calcination at 1100 °C promoted the formation of a single-phase monoclinic A2W3O12-type structure without detectable secondary phases. SEM-EDS mapping showed the homogeneous distribution of Pr, Eu, Y, La, Sm, W, and O throughout the synthesized material. Differential thermal analysis showed sequential desorption, crystallization, and structural ordering processes, together with the absence of sharp decomposition up to 1100 °C, indicating good thermal stability. Radiation shielding evaluation demonstrated that the synthesized high-entropy tungstate exhibited strong gamma-ray attenuation performance, with high mass attenuation coefficient values, low half-value layer values, and stable effective atomic number behaviour over a wide photon energy range. Although some individual oxides showed superior performance at specific energies, the high-entropy composition provided a more balanced shielding response overall. In neutron shielding, the material showed competitive fast neutron removal capability among oxide systems. It can be concluded that the multifunctional potential of (PrEuYLaSm)2(WO4)3 for competitive high-temperature and radiation shielding applications.
- MakaleYalnız künye2026Scopus SJRQ1Sufi thought in the diwan of the French Christian poet Charles Vernay
Kayaokay, İlyas
This article examines how the French Christian poet Charles Vernay (1842–1866) engaged with Ottoman Sufi poetic discourse in his Divan-ı Verne (1858), a collection of poems written in Ottoman Turkish and Persian. While openly preserving his Christian identity, Vernay frequently employs key Sufi concepts, including ‘tevhid’ (divine unity), ‘aşk-ı hakiki’ (mystical love), ‘irfan’ (gnosis), ‘hakikat’ (truth) and the ‘tarik’ (spiritual path). Through a close textual analysis of selected poems, this study explores the relationship between Vernay’s Christian identity and the Sufi vocabulary that shapes his poetic imagination. The findings demonstrate that Vernay’s use of Sufi terminology extends beyond conventional imitation of classical Ottoman poetry. He employs these concepts to articulate his own spiritual worldview while simultaneously referring to the Bible, Jesus Christ and the doctrine of the Trinity. Although Vernay adopts the metaphysical language of Ottoman Sufism, he does not reproduce its Prophet Muhammad-centred framework. Instead, he reinterprets Sufi concepts within a Christian religious horizon and constructs a spiritual discourse shaped by unity, love, truth and faith. Divan-ı Verne thus reveals how Ottoman Sufi poetic language could be appropriated across religious boundaries and provides new insight into intercultural literary exchange in the nineteenth-century Ottoman world.
- MakaleAçık Erişim2026Scopus SJRQ1Impact of Postharvest Oxalic Acid Treatments on Quality Properties and Biochemical Composition of Medlar (Mespilus germanica L.) Fruit
Çolak, Ayşen Melda; Gündoğdu, Özlem; Aglar, Erdal; Sezgin, Nevzat; Orman, Erdal; Gundogdu, Muttalip
This study was conducted to investigate the effects of oxalic acid (OA) applications at different concentrations on the quality traits and biochemical components of medlar (Mespilus germanica L.) fruit. Fruits harvested in Bolu province in 2024 were subjected to control (0) and 0.5, 1.0, and 1.5 mM OA applications and stored at 4°C and 90% ± 5% relative humidity for 45 days. Samples were taken from the fruits at certain intervals (0, 15, 30, and 45 days) and analyzed. Specifically, 1.0 and 1.5 mM OA applications significantly reduced fruit weight loss and decay rates. OA also inhibited increases in fruit respiration rate and pH and slowed the decline in total acidity, soluble solids content (SSC), vitamin C, phenolic compounds, and organic acids. Malic, citric, succinic, tartaric, and fumaric acids, vitamin C, and important phenolic compounds (chlorogenic acid, gallic acid, quercetin, catechin) were protected by OA applications, and this protection was most pronounced at 1.5 mM OA dose. The correlation analyses revealed significant relationships between quality parameters and biochemical contents. The weight loss and decay rate were negatively correlated with bioactive compounds such as gallic acid and ascorbic acid, indicating that quality deterioration progressed in parallel with the decrease in nutrient content. A strong positive correlation was found between titratable acidity and malic and citric acids. In principal component analysis (PCA), malic and citric acids were prominent in the early storage period, while weight loss, decay, and increased respiration became dominant in the late storage period. Phenolic compounds decreased significantly with storage time, and antioxidant capacity decreased. Heat map analysis visually supported the increase in spoilage parameters with the decrease in ascorbic acid and phenolic compounds. OA applications maintained the quality of medlar fruit and increased biochemical stability, extending postharvest life. 1.5 mM OA, in particular, stands out as an effective postharvest preservation method. These results demonstrate that OA offers significant potential for increasing the commercial value of perishable fruits like medlar and for developing preservation technologies.
AtıfScopus1OpenAlex1
İncele - MakaleAçık Erişim2026Scopus SJRQ1Numerical analysis of PCM integrated in solar dryers for thermal efficiency
Bakır Gür, Eda; Işık, Erdem; Uçar, Aynur
Solar dryers using phase change materials buffer heat, yet the combined influence of airflow regime and PCM placement on melting remains underexplored. A controlled like-for-like study fixed geometry and PCM properties while varying placement and operating conditions. A 3D transient CFD model simulated a forced-convection dryer with RT28HC over Re = 3000–9000 and inlet temperatures Ti = 50–60 °C. Raising either Re or Ti shortened melt time, and three-wall coverage melted faster and more uniformly than a rear-wall-only layout. For three walls, melt time dropped from 13 h (50 °C, Re = 3000) to 7 h (60 °C, Re = 9000) (−46 %) for the rear wall it fell from 19 h to 11 h (−42 %). A 10 °C increase in Ti reduced overall melt time by 4 h across Re. Practically, three wall PCM with Re ≥ 6000 at Ti = 60 °C achieved reliably 7–9 h melting, enabling late afternoon heat release without auxiliary heating.
AtıfScopus17WoS16OpenAlex12İncele - MakaleAçık Erişim2026Scopus SJRQ2Engineering Superior Soft Magnetic Properties Through FeCo/Cr and FeCo/Fe Nanocrystalline Architectures
Yüzüak, Gizem Durak
Soft magnetic materials are integral to various technologies, including high-frequency transformers, spintronic devices, and magnetic sensors, because of their low coercivity (HC) and high magnetization. This study investigates nanocrystalline Fe70Co30(100 nm)/Cr(2-10 nm) and Fe70Co30(100 nm)/Fe(2-10 nm) thin films, deposited via magnetron sputtering. X-ray diffraction analysis reveals that Fe70Co30 films without buffer layers crystallize in a body-centered cubic phase. The Cr and Fe buffer layers enhance it by minimizing lattice mismatch and promoting a uniform crystalline growth of the Fe70Co30 layer. The most significant particle size variations observed were approximately 24% for the Cr buffer and 31% for the Fe buffer. Microstructural characterization using atomic force microscopy and scanning electron microscopy identified nanograins with an average size of 30–80 nm. Magnetic characterization with a vibrating sample magnetometer showed a marked reduction in HC. Additionally, the remanence-to-saturation magnetization ratio remains nearly constant at 0.95 across all Fe-buffered films, whereas it increases from 0.80 to 0.92 in Cr-buffered films as the Cr thickness increases. The results highlight the importance of buffer layer engineering in enhancing the microstructural and magnetic properties of FeCo thin films, thereby increasing their suitability for advanced magnetic technologies.
- MakaleAçık Erişim2026Scopus SJRQ1Biogenic amine profiling of fruit wines by high-performance liquid chromatography with fluorescence detection after OPA derivatisation: effect of fruit type
Tok, Fırat; Çetin, Burcu; Karaca Sanyürek, Nesrin
This study aimed to characterise the biogenic amine (BA) profiles of fruit wines produced from different raw materials and to investigate their association with pH and fruit type. Ten commercially available fruit wines, including pomegranate, black mulberry, sour cherry, strawberry, melon, blackberry, and blueberry, were analysed using HPLC with fluorescence detection (HPLC-FLD) following pre-column derivatisation with o-phthalaldehyde. Putrescine, tyramine (TYR), and histamine were identified as the predominant amines, with total BA concentrations ranging from 11.62 to 53.96 mg/L depending on the fruit type. The pH values of the wines (3.28-3.60) were inversely related to acidity and showed a strong positive correlation with total BA content (r = 0.97, p < .001). Among the detected compounds, TYR exhibited the highest sensitivity to pH variation. Multivariate analysis using principal component analysis clearly differentiated the samples into two distinct groups: low pH-low BA wines (pomegranate and blueberry) and high pH-high BA wines (blackberry and strawberry). The HPLC-FLD method demonstrated excellent analytical performance, with high chromatographic stability (retention time RSD < 1%) and reliable compound identification. Overall, the results indicate that BA formation in fruit wines is closely associated with both pH and fruit type, reflecting the combined effects of raw material composition and fermentation conditions. These findings provide valuable insights into the biochemical characterisation, quality assessment, and safety evaluation of fruit wines in oenological applications.
- 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.
- MakaleAçık Erişim2026Scopus SJRQ1Optimization of scours downstream of conduit aerators
Arici, Erdinc; Tuna, M. Cihat; Aytac, Ayca; Acar, Ramazan; Tunc, Mustafa
Dams, wastewater treatment plants, and aquaculture areas often require aeration, making it crucial for hydraulic engineers to predict the physical properties of scour holes occurring on the downstream side of conduits. Conduit systems that provide high aeration performance necessitate multiple optimization studies to simultaneously maximize the scour parameters and the system’s physical properties. In this study, the physical parameters of conduit systems and downstream scour parameters were optimized using Artificial Neural Networks (ANN). The optimum system parameters were identified based on the experimental results through ANN-based optimization. Additionally, the real and optimal effects of the parameters on aeration performance and scour were determined. The results of the study demonstrated that ANN can be effectively used in studies aimed at optimizing the aeration performance and scour values of conduits. This study is the first to apply ANN for the simultaneous optimization of both aeration efficiency (Qa/Qw) and scour characteristics (dmax and δ) in a conduit-based hydraulic system. Previous studies have typically focused on either scour or aeration individually; this study integrates both through a multi-objective ANN model. The findings provide novel insights for the design and retrofitting of energy-dissipating conduit structures in high-head dam applications. Unlike traditional empirical or regression-based approaches, the ANN model captures complex, nonlinear relationships among multiple interacting hydraulic variables. It identified optimal parameter combinations — such as 70% gate opening, 1.30–1.50 m conduit length, and 9 mm air hole diameter — that improve both aeration and scour behavior. These outcomes offer direct applicability for real-world hydraulic system optimization.
AtıfOpenAlex1İncele - BildiriAçık Erişim2026Scopus SJRQ4Investigation of Surface Leakage Currents of High Voltage Insulators Under Different Pollution Conditions at Power Frequency AC Voltage
Külekçioğlu, Abdülcelil; Çetin, Muhammed Sefa; Gülan, Harun; Özdemir, Mahmut Temel; Gençoğlu, Muhsin Tunay; Cebeci, Mehmet; Moldovan, L.; Gligor, A.
In this paper, the electrical behavior of high voltage insulators under different pollution conditions has been investigated experimentally at power frequency (50 Hz) alternating voltage. The main objective of the study is to reveal the effect of pollution layers on the surface leakage currents and flashover voltages of insulators. For this purpose, a climatic chamber with controllable temperature and humidity conditions, together with a 200 kV high voltage test system, was employed. Three types of insulators (standard porcelain, fog-type porcelain, and silicone composite) were tested, and artificial pollution layers of varying densities were applied to their surfaces in accordance with standard procedures. During the experiments, the surface leakage currents were recorded, and flashover voltages were determined by gradually increasing the applied voltage. The obtained data enable comparative analyses for different pollution levels and insulator types. The originality of this study lies in providing a comprehensive dataset through numerous experiments under controlled laboratory conditions, thereby addressing gaps in the existing literature. This dataset establishes a solid foundation for the modeling of insulators electrical behavior and for the development of new approaches in future research.
- MakaleAçık Erişim2026Scopus SJRQ3An Artificial Neural Network Modeling of Solar Drying of Mint: Energy, Exergy, and Drying Kinetics
Gülçimen, Fevzi; Karakaya, Hakan; Durmuş, Aydın
Abstract: Solar drying is an environmentally friendly method for preserving agricultural products; however, limited studies have jointly examined energy–exergy performance and data-driven prediction methods under varying airflow conditions, which restricts performance optimization. This study aims to investigate the effects of inlet airflow rate on energy utilization ratio, energy generation, exergy loss, exergy efficiency, and drying kinetics of mint leaves, and to evaluate the predictive capability of artificial neural network modeling. Thin-layer drying experiments were conducted in a forced convective solar dryer equipped with a newly designed solar air collector at different air mass flow rates. Energy and exergy analyses were conducted using experimental thermodynamic data, and energy utilization and exergy loss were modeled with a feed-forward back-propagation artificial neural network. The energy utilization ratio ranged from 7.45 to 87.1% and increased with decreasing airflow rate. The average exergy losses for air mass flow rates of 0.012, 0.026, and 0.033 kg s–1 were 16.2, 8.2, and 6.88 W, respectively. Both experimental and artificial neural network results showed that increasing airflow rate reduced energy utilization ratio and exergy loss. The artificial neural network predictions exhibited very close agreement with experimental data. The results show that artificial neural networks can accurately predict energy utilization ratio and exergy loss in a forced convective solar dryer. Airflow rate is a key parameter for thermodynamic performance, and the integrated experimental–ANN approach offers a robust tool for optimizing and designing solar drying systems.
AtıfOpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2Lithium Recovery from Boron Processing Wastes via Mechanical Activation-Assisted Water Leaching: Application of Planetary Milling
Boylu, F.; Obuz Teker, Gülsen; Ersever Angur, Gafure; Ozdemir, O.; Çelik, M.S.
In this study, a more sustainable, cost-effective, and environmentally friendly approach for selective lithium extraction via water leach assisted by planetary mill mechanical activation was applied on clayey wastes of the Kırka Boron Plant. A detailed systematic study on wastes was performed to optimize both mechanical activation and leaching conditions and to characterize the active powders by XRD, FTIR and EDS/EDX. The results show that lithium can be recovered at relatively low leach temperatures of 50–60°C and short leach times of 3–5 min, achieving leach recoveries of 44.71 (without salt addition) and 57.71% (with 20% salt addition, w/w) without the need for pre-concentration of the waste. Despite relatively low lithium recoveries, water leaching of activated powder produced remarkably low concentrations of co-leached ionic impurities less than 10 ppm Mg, 20 ppm Ca, and 250 ppm K, compared to significantly higher concentrations observed during 1 M acid leaching (9422 ppm Mg, 564.5 Ca, and 72.5 ppm K, upon 1 M acid leaching, respectively). The presence of Mg ions, in particular, is known to be highly detrimental competing ion in metal recovery processes. Therefore, the proposed method offers both economic and environmental advantages by enabling higher purity lithium recovery under much milder conditions.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ1Influence of apple pomace and asparaginase on acrylamide levels in cookies and behavior during simulated gastric digestion: risk assessment perspectives
Sevim, Sumeyra; Macit, Arife; Farıa, Miguel A.; Viegas, Olga; Cunha, Sara C.; Kizil, Mevlude; Ferreira, Isabel M.P.L.V.O.
Cookies are widely consumed baked products; however, their contribution to dietary acrylamide (ACR) intake raises increasing health concerns. This study investigated the effects of apple pomace addition and asparaginase treatment on ACR levels in cookies, the fate of ACR during simulated gastric digestion using the INFOGEST semi-dynamic model, and the associated health risks of ACR exposure from cookie consumption. Risk assessment was conducted for adults (18–65 years) and children (3–10 years) using Monte Carlo simulation. Three formulations were evaluated: a control cookie, a cookie in which wheat flour was partially replaced with apple pomace, and a cookie containing asparaginase. Cookies formulated with apple pomace contained significantly lower ACR levels than the control (132 ± 8 μg/kg vs. 215 ± 11 μg/kg; p < 0.05), although the reduction was less pronounced than in cookies containing asparaginase (65 ± 14 μg/kg). During gastric digestion, ACR exhibited formulation-dependent release kinetics. Nevertheless, the total ACR released at the end of digestion was similar for control and pomace cookies, likely due to additional ACR formation in the stomach, despite differences in release patterns throughout digestion. Margin of Exposure (MOE) values for children remained well below 10,000, indicating a potential carcinogenic risk, although reductions of up to 59% were observed for control and pomace cookies after digestion. Target Hazard Quotient (THQ) values showed a slight increase after digestion in both age groups but remained below 1, suggesting no concern for chronic toxicity. Control cookies indicated a potential carcinogenic risk for children (ILCR = 1.56 × 10−4), whereas pomace and asparaginase formulations reduced this risk (ILCR = 9.59 × 10−5 and 4.72 × 10−5, respectively). However, simulated gastric digestion increased ILCR values for both control and pomace cookies (2.24 × 10−4 and 2.33 × 10−4, respectively). These findings indicate that dietary exposure to ACR cannot be assessed solely based on its concentration in food, and that digestive kinetics should be incorporated into health risk assessment.