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Koleksiyondaki öğeler
- MakaleYalnız künye2026Scopus SJRQ3A multi-parametric unit distribution via Bernstein polynomials
Susam, Selim Orhun
This study develops the method of constructing a multi-parametric distribution on the unit interval using Bernstein polynomials and investigates its key statistical properties. The performance of the proposed distribution’s parameter estimators was evaluated by Monte Carlo simulation under both maximum-likelihood (MLE) and minimum-distance frameworks, with the MLE approach generally yielding lower estimation error. A real data example illustrates the advantages of the construction method. The results reveal that the Bernstein distribution provides superior goodness-of-fit to the dataset compared with competing models.
- MakaleAçık Erişim2026Scopus SJRQ4Comparison of the Performance of Machine Learning Methods with Intuitionistic Fuzzy Decision Making for Effective Fake News Detection
Tuğrul, Feride
In this paper, the success of machine learning models applied to two datasets consisting of fake news was examined. The performance of these methods was measured using Accuracy, Precision, Recall, and F1-Score. Evaluation metrics for all models were calculated using TF-IDF and N-gram TF-IDF for Dataset 1 and Dataset 2, respectively. In continuation of the study, a decision-making mechanism was created to measure the success of machine learning methods. The success of these models was compared by creating a decision-making mechanism using intuitionistic fuzzy sets. The PROMETHEE method was used here. In the first stage of the study, the dataset samples evaluated were expressed using classical sets, while in the second stage, the success of the models according to the metrics was expressed using intuitionistic fuzzy values. This was to minimize the uncertainty in the model success results. The results obtained in the first stage of the study were evaluated in the second stage using a decision-making mechanism. In this mechanism, machine learning models represent the alternatives, while classification metrics represent the criteria. When evaluating machine learning models, experts provide subjective opinions based on each classification metric to determine the successful model.
- MakaleAçık Erişim2026Scopus SJRQ2Examination of the thermal and metallographic characteristics at high temperatures of natural stones (andesite) extracted from different elevations
Işık, Erdem; Kahraman, Gökhan; Atalar, Aydın
This study examines the high‑temperature thermal response of andesite stones extracted from two different elevations of Mount Ağrı (Türkiye) in order to improve material selection strategies for engineering applications. Thermal conductivity and density values of the samples were first measured under laboratory conditions. The specimens were then heated to 850 °C and cooled by natural convection while surface temperatures were recorded at fixed time intervals using a thermal camera. Based on these measurements, convective heat transfer coefficients were determined, and the time‑dependent thermal diffusivity and Biot numbers were subsequently calculated using the first-term approximation of the Fourier series. Metallographic examinations were conducted to correlate the thermal behavior with microstructural characteristics. Results indicate a pronounced effect of elevation on thermal performance. The sample obtained from the higher elevation exhibited substantially greater thermal diffusivity, reaching 2.93 × 10⁻5 m2 s−1 at 360 s and decreasing to 8.96 × 10⁻6 m2 s−1 at 1300 s. In contrast, the lower‑elevation andesite showed lower diffusivity values (1.83 × 10⁻5 m2 s−1 at 360 s and 5.9 × 10⁻6 m2 s−1 at 1300 s). Conversely, Biot numbers were consistently higher for the lower‑elevation sample, decreasing from 0.60 to 0.29 during the cooling process, whereas the high‑elevation sample displayed values from 0.314 to 0.165. Metallographic analysis confirmed that variations in microstructure—linked to different geological formation conditions—directly influenced these thermophysical properties. Overall, the findings demonstrate that andesite sourced at higher elevations possesses superior thermal diffusivity and more favorable heat‑transfer characteristics at elevated temperatures. These results highlight the importance of geological origin in the design, assessment, and selection of natural stone materials for high‑temperature engineering applications.
- MakaleAçık Erişim2026Scopus SJRQ1Effects of sulfuring, drying and storage on the formation of α-dicarbonyl compounds and 5-hydroxymethylfurfural in dried apricots
Aktağ, Işıl Gürsul; Cömert, Ezgi Doğan; Gökmen, Vural
This study investigated the impact of sulfuring, various drying methods, and storage with different packaging on the formation of α-dicarbonyl compounds and 5-hydroxymethylfurfural in dried apricots. Changes in the concentrations of α-dicarbonyl compounds, 5-hydroxymethylfurfural, sugars, and color were monitored in the samples (sulfured/non-sulfured, oven-/sun-dried, polyethylene/vacuum/modified atmosphere packaging) during storage at room temperature for 12 months. Among α-dicarbonyl compounds, 3-deoxyglucosone was the most prevalent, reaching 1356.8 ± 70.6 mg/kg dry matter in sulfured oven-dried apricots after drying. Methylglyoxal reached its peak at 723.2 ± 9.9 mg/kg dry matter in sulfured sun-dried apricots after storage. 5-Hydroxymethylfurfural remained at significantly lower levels than the dominant α-dicarbonyl compounds. Both α-dicarbonyl compounds and 5-hydroxymethylfurfural increased significantly during storage, irrespective of packaging, while sulfuring influenced the type of α-dicarbonyl compounds formed. These findings underscore the significance of processing and storage in influencing α-dicarbonyl compounds accumulation, providing valuable insights into maintaining the safety and quality of dried apricots.
AtıfScopus2WoS2OpenAlex2
İncele - MakaleYalnız künye2026Scopus SJRQ2Structural evolution and radiation shielding performance of nano-HfO2 doped 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 evolution and radiation shielding performance of lithium borotellurite glasses reinforced with nano-sized HfO2. We report on the competitive dynamics between the depolymerizing nature of the Li + network modifier and the high field strength Hf4+ nano-dopant, a relationship not previously explored in this matrix. Structural analysis via XRD and TEM reveals that the glass remains fully amorphous with homogeneously dispersed Hf rich nanodomains up to 4 mol%. A critical solubility threshold is identified at 6 mol%, where the precipitation of HfO2 and HfTe3O8 crystalline phases marks a distinct transition from an amorphous state to a glass-ceramic microstructure. Physical property measurements indicate that Hf4+ ions primarily occupy interstitial free volumes, leading to enhanced material density without significant network dilation. The incorporation of nano-HfO2 significantly augments gamma-ray attenuation efficiency, particularly in the low-energy region, by substantially increasing the effective atomic number and reducing the half value layer. Furthermore, the glasses exhibit robust fast-neutron shielding capabilities, outperforming conventional materials such as graphite and B4C. These findings establish nano-HfO2 as a potent structural and radiative modifier, providing a novel roadmap for designing high-density, multifunctional glass-ceramic shields for advanced nuclear applications.
AtıfScopus1OpenAlex1İncele - MakaleYayıncıda açık erişim2025Scopus SJRQ3EFFECT OF ANTIOXIDANT AND ITS CONCENTRATION ON THE SPERM QUALITY OF WALKING CATFISH Clarias batrachus POST CRYOPRESERVATION
Handayani, Luvi Syafrida; Rahayu, Sri Riska; Razi, Nanda Muhammad; Kocabas, Mehmet; Kocabas, Filiz Kutluyer; Tian, Changxu; Hafizuddin, Hafizuddin; Fadli, Nur; Muchlisin, Zainal Abidin
The walking catfish Clarias batrachus is popular and affordable in Southeast Asian countries. The development of breeding technology for this species is ongoing, with sperm cryopreservation being a key aspect of study that supports its breeding program. Cryopreservation is an essential method in fish breeding, particularly for sustaining breeding initiatives that supply larvae throughout the years. However, this process can lead to oxidative stress, which may decrease sperm quality due to structural and physiological damage, including DNA fragmentation. Adding an antioxidant to the freezing medium could help mitigate these negative effects and maintain sperm quality. This study aims to evaluate the effectiveness of various types and concentrations of antioxidant on the quality of C. batrachus sperm post-cryopreservation. Four types of antioxidants were tested: ascorbic acid, Myoinositol, alpha-tocopherol, and Butylated Hydroxytoluene, each at concentrations of 0, 20, 40, and 60 mg/L. Ringer solution, 5% DMSO and 5% egg yolk were used as extender and cryoprotectants, respectively. Sperm samples were stored in liquid nitrogen for 2 weeks, after which sperm quality was analyzed. The results showed that both the type and concentration of antioxidant had a significant effect (p<0.05) on all measured sperm quality parameters. Ascorbic acid at a concentration of 40 mg/L produced the best results, achieving 62.33% motility, 66.00% viability, and 61.67% fertility. Electrophoresis analysis showed no DNA fragmentation in any of the treatments, indicating that the genetic structure of sperm remained intact. Ascorbic acid at 40 mg/L is the most effective antioxidant for cryopreservation of sperm C. batrachus.
- MakaleYayıncıda açık erişim2025Scopus SJRQ1Effect of postharvest melatonin and salicylic acid applications on quality characteristics and primary and secondary metabolite physiology of tomato fruits
Kaygısız, Tansel; Sen, Fatih; Gundogdu, Muttalip; Ejaz, Shaghef; Aglar, Erdal
Background: This study aims to investigate the effects of postharvest melatonin (ML) and salicylic acid (SA) applications on fruit quality and biochemical properties in tomatoes. The potential synergistic effects were investigated by applying these compounds to the ‘Depar’ tomato variety grown in Bolu in the 2024 production season. The tomato fruit that were mature and free from physical damage were selected and sterilized according to predetermined criteria. Afterwards, ML and SA solutions (1 mM) were sprayed on each fruit and then the fruit were stored at 5 ± 0.5 °C and 90 ± 5% relative humidity. Pomological and biochemical measurements and analyses were carried out on fruit stored for 24 days in three different periods (8th, 16th and 24th days). Results: With the extension of storage period, the increase in spoilage and ripening symptoms such as weight loss (8.53%), pH increase (5.01) and soluble solids content (SSC) accumulation (4.95%) was observed in tomatoes. In addition, the significant decreases occurred in malic acid, citric acid, tartaric acid, oxalic acid, vitamin C and phenolic compounds. However, SA and ML applications slowed down these negative changes, with the best results generally obtained in the SA + ML combination. This combination significantly limited the decreases in weight loss and chemical contents, delayed the ripening of tomatoes and maintained their nutritional value. Especially in early and middle storage periods (8th and 16th days of the cold storage), SA + ML applications gave the most effective results. However, some protective effects were reduced by the 24th day the cold storage. Conclusion: SA and ML applications are recommended as an effective biopreservation strategy to extend the shelf life of tomatoes, prevent commercial value loss and maintain quality. This study demonstrates the potential of using bioactive compounds to preserve the quality and nutritional values of tomatoes after harvest.
AtıfScopus10OpenAlex12
İncele - MakaleAçık Erişim2026Scopus SJRQ1Large-eddy simulation of flow over a square prism with moving belts
You, Rui; Fırat, Erhan
This three-dimensional (3D) numerical study investigates the feasibility of controlling the intermittently reattaching flow (IRF) by using the moving-surface boundary-layer control (MSBC) method. To this end, a fixed square prism was preferred due to its geometric simplicity and was equipped with moving belts that placed side surfaces close to the trailing edges. The effects of three dimensionless key parameters including velocity ratio (i.e., VR, the ratio of the velocity of the moving belt to the freestream velocity), length ratio (i.e., LR, the ratio of the belt length to the edge length of the square prism), and gap ratio (i.e., GR, the ratio of the spanwise distance between the neighboring belts to the edge length of the square prism) mainly on the aerodynamic characteristics were investigated using large-eddy simulation (LES). The findings suggest that the rise in VR and LR parameters leads to a proportional decrease in the time-averaged drag, 〈CD〉, attributable to their contribution to the linear momentum transfer mechanism by the moving surfaces. This mechanism, firstly, provides an additional thrust to the prism in the opposite direction of the main flow. Secondly, this mechanism increases the base pressure by stretching the shear layers from the leading edges of the prism in the streamwise direction. For LR = 0.4 and VR = 4, a 17 % reduction in 〈CD〉 was observed. Additionally, the root-mean-square (RMS) values of fluctuating drag and lift coefficients, CD-RMS and CL-RMS, have decreased by 71 % and 55 %, respectively. Conversely, the increase in the GR parameter led to an increase in the spanwise distance between each individual moving belt and a reduction in the positive effect of the linear momentum transfer mechanism on the 〈CD〉 reduction. The segmentation of moving belts along the spanwise direction also triggered the vorticity redistribution mechanism concurrently. The study also elucidated the underlying mechanisms that led to the failure of the vorticity redistribution mechanism to adequately reduce the 〈CD〉.
- MakaleAçık Erişim2026Scopus SJRQ3Optimized bioleaching of spent FCC catalysts for the recovery of critical metals
Erust, Ceren; Altındaş, Mediha Demet Okudan
Spent fluid catalytic cracking (FCC) catalysts, generated in large volumes by petroleum refining, represent a promising secondary source of critical metals such as lanthanum, cerium, titanium, and vanadium. In this study, a biohydrometallurgical approach was applied to recover these metals using Acidithiobacillus ferrooxidans and Leptospirillum ferrooxidans. The spent FCC catalyst, supplied by petroleum refinery, was characterized through WD-XRF, XRD, SEM-EDS, and ICP-OES analyses, confirming significant concentrations of La2O3 (1.44%), TiO2 (1.43%), and CeO2 (0.23%). Bioleaching experiments were conducted under varying initial ferrous ion concentrations (1–9 g/L) and pulp densities (5–20% w/v) at 35°C over 14 days. Results revealed that the optimal conditions for maximum recovery occurred at 5 g/L Fe2+ and 10% pulp density, achieving leaching efficiencies of 95.5% for La, 90.5% for Ce, 92.5% for Ti, and 60.8% for V within seven days. Beyond this period, efficiency decreased due to jarosite formation and microbial activity constraints. The findings confirm that bioleaching is a cost-effective and sustainable route that aligns with circular economy principles by reducing reliance on virgin rare earth mining while mitigating the environmental impact of catalyst disposal.
- MakaleYayıncıda açık erişim2026Scopus SJRQ2Sperm cryopreservation of sex-reversed rainbow trout (Oncorhynchus mykiss): incorporation of amino acids and anti-oxidants to the extender media to improve the anti-oxidant system
Kocabaş, Filiz Kutluyer; Kocabaş, Mehmet; Benzer, Fulya; Erişir, Mine
Anti-oxidants are vital for protecting sperm and can mitigate the negative effects associated with cryopreservation. This study was conducted to evaluate the protective effects of adding anti-oxidants (vitamins and amino acids) to extender in sex-reversed rainbow trout (Oncorhynchus mykiss) sperm. The collected sperm was diluted at the ratio of 1: 5 by the extenders supplemented with different anti-oxidants including 1.00 mM of ascorbic acid and L-tryptophan, 2.00 mM of cysteine and α-tocopherol, and their combination. After dilution, the semen was aspirated into 0.50 mL straws, and the straws were placed on the tray, frozen for 10 min, and plunged into liquid nitrogen. Straws were thawed in a 30.00 ˚C water bath for 15 sec. The Sperm Class Analyzer System was used to evaluate sperm kinematics. The activity of anti-oxidant enzymes and lipid peroxidation were determined as oxidative stress indices. Our data indicated that the incorporation of anti-oxidants and amino acids increased sperm motility duration. The elevated activity of glutathione peroxidase, superoxide dismutase, and catalase in post-thaw samples indicates that the anti-oxidant system in sex-reversed rainbow trout sperm likely plays a crucial role in protecting membrane compounds from oxidation. In conclusion, the combination of 1.00 mM L-tryptophan and ascorbic acid to the extender media caused a prolonging effect in sperm motility after thawing and they have the potential to serve as effective agents for improving sperm cryosurvival.
- MakaleYalnız künye2026Scopus SJRQ1Enhancing waiting time performance of clinical laboratories for pregnant patients with seasonal respiratory diseases: a simulation-based Lean Six Sigma approach
Ortíz-Barrios, Miguel; Celani de Souza, Helder Jose; Petrillo, Antonella; Gul, Muhammet; Yücesan, Melih; Navarro-Jiménez, Eduardo; Alfaro-Saíz, Juan-José; Ariza-Ortíz, Andrés
Purpose – Clinical laboratory performance is critical in managing seasonal respiratory diseases (SRDs); however, prolonged waiting times can lead to patient dissatisfaction and nonquality costs. This challenge is particularly acute for pregnant patients, who face increased health risks from diagnostic delays. This study aims to improve waiting times before sample collection in clinical laboratories serving pregnant patients with SRDs by integrating Lean Six Sigma (LSS) and Discrete-Event Simulation (DES). Design/methodology/approach – The proposed framework was validated in a public clinical laboratory using the DMAIC (Define–Measure–Analyze–Improve–Control) methodology. DES was embedded within the Analyze and Improve phases to model patient flow and assess improvement scenarios before implementation. Findings – The integrated LSS–DES approach resulted in a significant reduction in waiting times. During SRD peak periods, waiting time before sample collection for pregnant patients decreased from 1.01 to 0.10 h per patient. These results demonstrate the framework's effectiveness and practical usefulness for decision-makers seeking performance improvements in resource-constrained healthcare environments. Originality/value – This study enhances existing literature by integrating LSS and DES to address laboratory performance challenges associated with SRDs. The combined LSS-DES used for pregnant patients during outbreak periods is novel. The study offers contextual innovation for a vulnerable population, methodological advancement through embedding DES within the DMAIC cycle, and practical laboratory validation. The framework is particularly valuable for low- and middle-income countries (LMICs), where scalable solutions are essential.
- MakaleAçık Erişim2026Scopus SJRQ1Change in phase stability and transformation kinetics of NiTiCuW alloy after heat treatment at 650–850 °C
Tatar, Cengiz; Kök, Mediha; Kanca, M. Sait
In this study, the effects of different heat treatment temperatures (650 °C, 750 °C, and 850 °C) on the phase transformation behavior, microstructure, thermodynamic parameters, and microhardness of the NiTiCuW alloy, produced by adding tungsten (W) to the NiTiCu shape memory alloy, were investigated. The crystal structure change was determined by X-ray diffraction (XRD), the transformation temperatures were determined by differential scanning calorimetry (DSC), the microstructure was examined by scanning electron microscopy (SEM), and the mechanical properties were evaluated by Vickers microhardness measurements. XRD results showed that the reference and 850 °C samples were predominantly in the B2 (austenite) phase at room temperature, while martensitic phases (B19/B19′) became prominent at 650 °C and 750 °C. DSC analyses revealed that the transformation peaks became sharper at 650 °C and the R-phase transformation could be observed; at 750 °C, the peaks broadened, indicating a decrease in transformation stability. The austenite finish temperature (Af) increased from 2.1 °C (reference) to 52.9 °C at 650 °C and 60.3 °C at 750 °C, while it remained low (4.5 °C) at 850 °C. Thermodynamic evaluations showed that ΔS increased at 650 °C (0.053 J/g K) and decreased at 750–850 °C (≈0.032 J/g K). Microhardness reached its maximum value at 650 °C (398 Hv), decreased at 750 °C (271 Hv), and showed an upward trend again at 850 °C (351 Hv), compared to the reference value (243 Hv). These results indicate that the heat treatment temperature critically determines the functional and mechanical performance of the NiTiCuW alloy.
- MakaleAçık Erişim2026Scopus SJRQ2Occurrence of Antimicrobial Resistance in Kocuria rhizophila Bacteria Isolated From Salmo munzuricus (Teleostei: Salmonidae) Samples in Natural Resources
Kar, Bülent
Global warming and environmental pollution trigger the emergence of antimicrobial-resistant (AMR) opportunistic pathogens in the aquatic microflora. This study aimed to determine the characterization and AMR profile of the opportunistic pathogen Kocuria rhizophila isolated from the tissues of Salmo munzuricus (Munzur trout), an endemic species. Samples collected from the Munzur River were identified using morphological and molecular (16S rDNA) methods; bacterial isolates were characterized by MALDI-TOF and sequencing. The resistance status against 11 different antibiotics was analyzed with the Kirby-Bauer method. The findings revealed that the isolates (with 99.51% accuracy as K. rhizophila) showed full resistance to Penicillin G (p < 0.01) and were moderately sensitive to gentamicin and tetracycline. High sensitivity to amoxicillin and ampicillin was detected. These findings demonstrate that even in natural environments, the fish microbiome in wild endemic populations can be susceptible to the development of AMR in response to environmental changes. Therefore, determining the resistance of opportunistic pathogens in wild fish species such as Salmo munzuricus to different classes of antibiotics and studying their spread is extremely important for natural ecosystems.
- MakaleAçık Erişim2025Scopus SJRQ1A novel s-box generation method based on metastable inducing over FPGA for block ciphers
Garipcan, Ali Murat; Aydın, Yılmaz; Özkaynak, Fatih
Substitution boxes (s-boxes) providing the nonlinearity property are fundamental components of modern encryption systems. The security of these systems directly depends on the quality of the s-boxes ensuring a high level of resistance to advanced attacks. Although there is no perfect method in the literature, improving the cryptographic properties of s-boxes, such as nonlinearity and differential independence remains an important area of interest for many researchers. In this paper, we propose a new s-box generation method based on the reinforcement of the randomness obtained from the metastable states of the R-S latch. In the proposed method, a Field Programmable Gate Array (FPGA) chip is used to obtain design inputs based on physical reality obtained from the hardware level. Design inputs with poor statistical adequacy are transformed into s-boxes by passing them through four different hash functions (Blake2b, Blake2 s, SHA3 and Shake). A total of 333,328 s-boxes are generated with the proposed method for four different scenarios and widely used evaluation metrics such as bijectivity, nonlinearity (NL), strict avalanche criteria (SAC), bit independence criteria (BIC), differential probability (DP) and linear probability (LP) are considered for the analysis. Taking into account these metric values, the study also presents a detailed performance comparison of the proposed s-boxes with recent studies from the last 5 years in the literature. The fact that the nonlinearity degree of 75 % of the produced s-boxes is higher than 103, which is the average limit value in the literature, also confirms the method's efficiency, proven reliable by the analysis results. When all these results are evaluated together, they confirm that the proposed method is highly effective in generating robust s-boxes and that these s-boxes can be reliably used in modern cryptographic systems.
AtıfScopus21WoS23İncele - MakaleYalnız künye2026Scopus SJRQ2Depositional settings and basin-fill evolution of the restricted platform system on the Intra Pontide belt during the Late Eocene-?Early Oligocene transition, western black sea region, Turkey
Us, Muhammed Sami; Tekin, Erdoğan; Akgün, Funda; Kayseri-Özer, Mine Sezgül; Varol, Baki Erdoğan
This study presents an integrated sedimentological, microfacies, and palynological analyses of the Late Eocene–?Early Oligocene (Priabonian–?Rupelian) Akçapınar Formation, exposed along the Soğanlı Stream in the Intra-Pontide Belt of the Western Black Sea region, Turkey. The formation, which overlies the evaporitic Pürçükören Formation and locally the Soğanlı Formation, records deposition in restricted shallow-marine to a lagoonal setting during a phase of significant tectonic and climatic reorganization. Detailed field mapping and measured stratigraphic sections, supported by petrographic, XRD, and SEM analyses, reveal mud-supported textures, limited faunal diversity, and thin-shelled gastropods, consistent with low-energy, brackish conditions. Palynological assemblages, identified here for the first time, refine the age constraints and document freshwater influence, whereas mineralogical data indicate alternating arid (smectite-rich) and humid (chlorite–illite-rich) intervals. Microfacies patterns (Mf1–Mf4) and lithofacies associations (Lf1–Lf8) were synthesized into three-dimensional depositional models, illustrating progressive basin restriction, episodic subaerial exposure, and evaporite precipitation. The multi-proxy approach, integrating sedimentology, microfacies, palynology, and mineralogy, refined the depositional model of the Akçapınar Formation, revealing facies heterogeneity driven by the interplay of tectonically induced basin isolation, relative sea-level fluctuations, and paleoclimatic oscillations during the Eocene–Oligocene transition, and providing new insights into the paleogeographic evolution of the northern Neo-Tethys during the final stages of its closure.
- MakaleAçık Erişim2026Scopus SJRQ1Sustainable material pathways: Utilizing biomass-derived bio-oils from agricultural wastes to restore aged asphalt binder properties
Yalcin, Beyza Furtana; Yilmaz, Mehmet; Yalcin, Erkut; Kok, Baha Vural
This study explores the valorization of agricultural biomass wastes into high-value bio-based materials by evaluating the performance of pyrolysis-derived bio-oils obtained from straw, pine cone, and olive pomace for the rejuvenation of aged asphalt binders. The effectiveness of these biomass-derived bio-oils was comparatively assessed against two commercial rejuvenators to enhance binder reusability using renewable resources. The optimum rejuvenator dosages were determined through penetration, viscosity, and dynamic shear rheometer (DSR) tests, while the associated physical and chemical modifications were investigated using FTIR, SEM-EDS, and elemental analyses. Penetration and viscosity results indicated that all rejuvenators significantly reduced binder stiffness and improved fluidity. DSR analysis indicated that increasing rejuvenator content reduced G∗/sin δ values, reflecting a decrease in binder stiffness and a softening effect of the rejuvenators, which contributes to restoring the viscoelastic balance of the aged binder. FTIR results demonstrated that biomass-derived bio-oils, particularly those from pine cone and straw, effectively reduced carbonyl (C=O) and sulfoxide (S=O) functional groups, indicating strong chemical rejuvenation. SEM-EDS analyses showed that the heterogeneous and porous morphology of bio-oils promoted improved interaction with the asphalt binder. Based on the combined results of the three experimental approaches, the optimum rejuvenator dosages were identified as 25% for commercial products, 35% for pine cone and olive pomace bio-oils, and 45% for straw bio-oil. Overall, the findings highlight that biomass-derived bio-oils produced via pyrolysis offer a sustainable and performance-effective pathway for converting agricultural residues into value-added materials, supporting circular bioenergy and biomass utilization strategies.
AtıfScopus2WoS3OpenAlex3İncele - Derleme MakaleYalnız künye2025Scopus SJRQ2Revolutionizing biomedicine with rare earth element nanoparticles: physical properties and biotechnological potential
Şahal, Hakan
Rare earth elements (REEs) are used in the creation of many promising technologies that have the potential to revolutionize many medical and biotechnological fields such as medical imaging, cancer treatment and diagnosis, biosensors and diagnostic kits, tissue engineering and regenerative medicine, cosmetics and dermatology, gene therapy and molecular biology, pharmacology, and drug delivery systems today and in the future. Their use as targeted treatment approaches, biocompatible materials and imaging agents with anticancer, antimicrobial, antibacterial, and antioxidant properties enables revolutionary developments in modern medicine and biotechnology. The versatile uses of these elements may contribute to the development of more effective and sensitive methods in medical treatment and diagnosis in the future. For this reason, they are intensively researched worldwide. The focus of this research is that rare earth elements and their derivatives can provide innovative solutions for diagnosis and treatment at the molecular level. Doping with rare earth elements, which are considered as vitamins of industries, redefines the properties of materials and increases their efficiency. For this reason, research is aimed at obtaining new properties and applications by creating hybrid structures of rare earth elements with different components. In recent years, scientific interest in investigating the molecular interactions of REEs with biomolecules has increased. These studies aim to activate drug-specific molecules in target cells, reduce their side effects, and provide more effective treatment methods. These studies aim to create potential structures in gene therapy, biosensor technologies, and cancer research with modifications performed using REEs. This study investigates the transformative potential of REE nanoparticles in various biotechnological and biomedical applications and emphasizes their promise as versatile tools for innovation in multiple disciplines by highlighting their roles in advancing targeted therapies, reducing side effects and addressing critical challenges in modern healthcare.
AtıfScopus2WoS1OpenAlex2İncele - MakaleYayıncıda açık erişim2026Scopus SJRQ1tVNS Mitigates Neuroinflammation and Nociception in a Rodent LPS Endotoxemia Model
Atalar, Kerem; Alim, Ece; Calikusu, Aysen; Abbasoglu Topa, Elif Gulcicek; Gok Dagidir, Hale; Bahcelioglu, Meltem; Bukan, Neslihan; Erten, Fusun; Sahin, Kazım; Akarca Dizakar, Saadet Özen
The vagus nerve plays a modulatory role in the gut-brain axis. Intestinal barrier dysfunction and lipopolysaccharide (LPS) leakage into the systemic circulation are associated with several conditions, such as irritable bowel syndrome (IBS) and migraine headache. This study investigates the impact of non-invasive transauricular vagus nerve stimulation (tVNS) on the neuroinflammatory markers and pain behavior following an acute LPS challenge. Sprague–Dawley rats (n = 28) were given LPS or vehicle and subjected to tVNS or sham intervention in an acute LPS animal model that mimics the systemic consequences of barrier dysfunction. Behaviors were evaluated at the baseline and 6 h later, complemented by testing the levels of serum and brain neuroinflammatory markers. Behavioral analyses revealed that LPS exposure reduced the time spent in the open arm, grooming duration, and periorbital mechanical pain thresholds, and increased freezing duration. The tVNS intervention reversed these behavioral changes induced by LPS. LPS administration triggered elevated serum levels of IL-6, CGRP, haptoglobin, and VE-cadherin. LPS also increased IL-1β, PAR-2, haptoglobin, CGRP, and HMGB1 levels in the brain tissue. The tVNS intervention reversed the effects observed in the brain, but it did not change the elevated levels of inflammatory molecules in the systemic circulation. tVNS has the potential to modulate neuroimmune interactions, with an early impact on the brain during LPS surge. tVNS may have potential therapeutic benefits in managing pain-related disorders associated with LPS endotoxemia.
- MakaleYalnız künye2025Scopus SJRQ2The Trends and Hotspots of Research on Adolescent Pregnancy: A Bibliometric Analysis
Pehlivanoğlu, Şeyma; Çelik, Osman Tayyar; Tok, Yasin; Sağlam, Mehmet
This bibliometric study aims to contribute to the literature on adolescent pregnancy by exploring gaps, research trends, contributing countries and journals, collaboration networks, and subject themes, offering a macro perspective on the field’s development and future directions. This study employed a bibliometric research methodology. Publications containing the keywords adolescent, adolescence, youth, teenager, puberty, juvenile, pregnancy, and pregnant were retrieved from the Web of Science (WoS) database (1980–April 24, 2024) and analyzed using VOSviewer and the open-source R bibliometric package, adhering to predefined inclusion/exclusion criteria. The concept of adolescent pregnancy has been studied annually from 1980 to the present, peaking in 2022. Key research topics include sexual and reproductive health, contraception, and depression. According to Lotka’s Law, 84.7% of authors in this field have published only once. Recent studies have focused on birth weight and pregnancy risks. The most cited publication globally and locally is by Ganchimeg et al., while the Journal of Adolescent Health is the most productive platform. The United States, Brazil, the United Kingdom, South Africa, Canada, and Turkey are the most productive countries in this field. The results of this study highlight that adolescent pregnancy remains a global public health issue, as evidenced by its consistent presence in annual research. Key research gaps and trends include social and emotional challenges faced by pregnant adolescents, physical development and health during adolescent pregnancy, causes and prevalence trends, preventive education services, and psychosocial interventions. Further research is essential to develop effective interventions for preventing adolescent pregnancy and safeguarding the best interests of children.
AtıfScopus3WoS3OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ1Surface EMG-Based Hand Gesture Recognition Using a Hybrid Multistream Deep Learning Architecture
Çelik, Yusuf; Can, Umit
Surface electromyography (sEMG) enables non-invasive measurement of muscle activity for applications such as human–machine interaction, rehabilitation, and prosthesis control. However, high noise levels, inter-subject variability, and the complex nature of muscle activation hinder robust gesture classification. This study proposes a multistream hybrid deep-learning architecture for the FORS-EMG dataset to address these challenges. The model integrates Temporal Convolutional Networks (TCN), depthwise separable convolutions, bidirectional Long Short-Term Memory (LSTM)–Gated Recurrent Unit (GRU) layers, and a Transformer encoder to capture complementary temporal and spectral patterns, and an ArcFace-based classifier to enhance class separability. We evaluate the approach under three protocols: subject-wise, random split without augmentation, and random split with augmentation. In the augmented random-split setting, the model attains 96.4% accuracy, surpassing previously reported values. In the subject-wise setting, accuracy is 74%, revealing limited cross-user generalization. The results demonstrate the method’s high performance and highlight the impact of data-partition strategies for real-world sEMG-based gesture recognition.
AtıfScopus4WoS4OpenAlex7İncele
