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 Erişim2026Innovative System Design and Numerical Investigation Based on Air Cooling and Baffle Utilization in the Thermal Management of Lithium Ion Batteries
Tuğan, Volkan; Yardımcı, Uğurcan
Effective management of temperature in battery packs, which are used in a wide range of applications from portable devices to electric vehicles, plays a critical role in terms of both efficiency and safety. In this study, a new air cooling thermal management system was designed to improve the thermal management of lithium ion battery packs and was comparatively examined with a conventional system. In the developed design, front and rear air inlets along with a top outlet were implemented, and baffles were added to achieve a more homogeneous distribution of airflow between the cells. The conventional system, on the other hand, was modeled based on the principle of front inlet and rear outlet without baffles. These two designs were compared through CFD analyses in terms of maximum battery temperature and maximum temperature difference. In the analyses, three different inlet air temperatures of 299.15 K, 294.15 K, and 289.15 K were investigated. The airflow velocity at the entrance of the battery pack was set to 0.5 m/s. The analysis results showed that the developed design reduced the maximum battery temperature and maximum temperature difference by 1.82-3.38 K and 2.48-4.29 K, respectively, compared to the conventional design.
- MakaleAçık Erişim2026Phylogenetic Analysis of Native Salmo Species in Türkiye Using Mitochondrial 12S rDNA, 16S rDNA, Cytochrome b Sequences, and Cytogenetics
Yazdıç, Ferit Can; Kar, Bülent; Karaman, Altuğ
In this study, phylogenetic relationships and genetic diversity of Salmo spp. populations in different water bodies in Türkiye were investigated, focusing on morphologically similar specimens to Salmo macrostigma. Significant genetic variability and evolutionary differentiation within these populations have been identified using mitochondrial regions sequences (12S rDNA, 16S rDNA, and Cyt-b), morphological observations, and cytogenetic analysis. Samples collected from eight river basins revealed three main phylogenetic clades and local adaptations influenced by ecological pressures. Cytogenetic findings showed that they have chromosome numbers ranging from 78 to 80 (2n), consistent with known Salmo species. For this purpose, three mitochondrial DNA fragments encoding 12S rDNA, 16S rDNA, and Cyt-b regions were amplified by PCR, sequenced, and then used for phylogenetic analysis of the studied species. The study revealed the need for comprehensive integrative taxonomic approaches to clarify the classification of Salmo spp. with critical implications for conservation strategies in Türkiye biodiversity hotspots. In conclusion, this study not only advances our knowledge of Salmo macrostigma or similar Salmo spp., but also suggests innovative approaches for future Salmonid phylogenetics and cytogenetics studies. The findings have important implications for understanding the evolution, taxonomy, and conservation of these economically and ecologically important fish.
- MakaleAçık Erişim2026Energy density in Rainbow Gravity: Levi-Civita Model
Korunur, Murat; Korunur, Sibel
In this study, the energy density for the Levi-Civita space-time is analyzed within the framework of Rainbow Gravity Theory (RGT). RGT is a theoretical approach that assumes the geometry of space-time depends on the energy of the test particle, offering a promising perspective in the quest for quantum gravity. Energy densities are calculated using the Einstein, Bergmann-Thomson, and Landau-Lifshitz energy-momentum prescriptions and compared with the results obtained from General Relativity. The findings reveal that as the test particle’s energy increases, the energy density rises in the Einstein and Landau-Lifshitz prescriptions, while it decreases in the Bergmann-Thomson formulation. This highlights how the problem of energy localization varies across different energy-momentum definitions and demonstrates the impact of RGT on energy distribution. The study contributes to the literature exploring the influence of alternative gravitational theories on energy-momentum distributions.
- MakaleAçık Erişim2026Evaluation of pull-out and push-out relationship for the flat and ribbed reinforcements in concrete with different compressive strengths
Etli, Serkan; Akgül, Melek; Doğan, Orhan
To evaluate the performance of anchors in strengthening an existing building or to estimate the remaining service life of an existing building due to corrosion in reinforcements within the scope of academic studies, adherence tests, mostly based on pull-out are preferred. However, pull-out tests have a low usability rate and need to be more laborious in accordance with push-out tests. In this study, it is aimed to show the usability of push-out test instead of pull-out test and to reveal an empirical equation to determine the relationship between these two adherence tests on reinforced concrete samples. Within the scope of this study, dozens of bond tests were performed on reinforced 100×100×100 mm cube specimens with different concrete strengths, using flat and ribbed reinforcement types to represent existing structures. Predicted equations for these tests were very usable for estimation of pull-out strength from push-out test results.
- MakaleAçık Erişim2026Design and analysis of an arduino-based low-cost true random number generator
Erdem, Ebubekir; Kaner, Seyfullah; Garipcan, Ali Murat
This study covers the design and statistical randomness-based performance analysis of an Arduino-based True Random Number Generator (TRNG) that uses environmental analog noise as a randomness source. The environmental analog noise used as the randomness source was sampled from the Arduino's A_0-A_4 pins, mixed at the bit level, and then subjected to the SHA-256 hash function in the post processing stage. The 256-bit random number blocks obtained using this method were transferred via the serial port and converted into a format suitable for NIST SP-800-22 and Dieharder tests. In terms of statistical randomness, the random numbers achieved successful results in all NIST tests and in 93.94% of the Dieharder tests. However, Shannon entropy and bias analyses showed that the generated numbers did not carry structural patterns. The study demonstrates that reliable randomness can be obtained even under limited hardware and low energy conditions, showing that the developed structure provides an accessible and reproducible platform for educational use, embedded system security, and lightweight cryptographic applications.
- MakaleAçık Erişim2026Deep learning-based short-term cryptocurrency price forecasting using LSTM models enhanced with technical indicators
Çelik, Yusuf; İnce, İrem Sevda
This study investigates short-term cryptocurrency price forecasting using deep learning methods. Minute-level price and volume data for BTC/USDT and ETH/USDT trading pairs were obtained through the Binance API and analyzed under different temporal resolutions, including hourly and 15-minute forecasting scenarios. Recurrent neural network architectures, including LSTM, GRU, and BiLSTM, were evaluated using different loss functions to identify effective configurations for short-term forecasting. Experimental results show that deep learning models can achieve high forecasting accuracy for high-frequency cryptocurrency data. In particular, the LSTM model trained with a weighted loss function demonstrated strong and stable prediction performance. In addition, incorporating technical indicators as auxiliary features enriched the feature space and improved forecasting capability. The results also suggest that aligning the temporal resolution of technical indicators with the prediction frequency can further enhance model performance. Overall, the proposed framework provides an effective deep learning–based approach for short-term cryptocurrency price forecasting in high-frequency financial markets.
- MakaleAçık Erişim2026Investigation of heavy metal accumulation in Typha latifolia exposed to mine drainage waters
Tatar, Sule; Okuduci, Ebru
In this study, the accumulation of some heavy metals in water, sediment, and Typha latifolia plant species was investigated in a previously operated mining area located in the Hozat region of Tunceli. In the first phase of the study, water and soil samples were collected from sites where T. latifolia was dominant. The metal uptake capacities from soil to roots, stems, and leaves of the plants were examined for different metals as silver (Ag), barium (Ba), cadmium (Cd), copper (Cu), nickel (Ni), lead (Pb), strontium (Sr), zinc (Zn). Water, sediment, and plant samples collected from the field were analyzed for the above elements at ultra-low detection limits using ICP-MS at ACME Analytical Laboratories in Canada. Bioconcentration factors (BCF-R, BCF-S, BCF-L, respectively) for the root, stem, leaf, and translocation factor (TF) values were calculated. The highest TF value was found to be 0.85 for Sr. The highest bioconcentration factors in the root, stem, and leaves of the plant were also found to be 3.67, 1.55, and 1.79 for Sr, respectively. According to the results obtained, T. latifolia was found to be a suitable plant for the bioaccumulation of Cd, Pb, Cu, and Sr under the existing environmental conditions, but not a suitable bioaccumulator for Ag, Ba, Ni, and Zn. Based on the results, it was determined that some heavy metal pollutants can be remediated using certain plants, and that these plants can function as bioaccumulators for these metals.
- MakaleAçık Erişim2026Application of machine learning techniques for multi-class classification performance on mental disorders
Can, Umit
The contemporary social framework is predicated on a fiercely competitive system, which amplifies individual pressure and subsequently elevates the incidence of mental diseases, significantly affecting public health. Consequently, governmental and non-governmental groups allocate considerable resources to tackle these concerns. The precise identification of such illnesses via artificial intelligence techniques has become critically significant. These methodologies, widely used across several healthcare sectors, have been increasingly adopted in psychiatry. Evaluating psychiatric data to forecast disease accurately enables doctors to make better decisions and establishes a robust decision-support framework. This work employed prevalent machine learning techniques to identify mental illnesses utilizing a dataset with labels for seven distinct mental states—six disorders and one normative condition. The approaches were initially evaluated on an imbalanced dataset and subsequently on a balanced dataset, facilitating comparison of the outcomes. Among Categorical Boosting, Gradient Boosting, Extreme Gradient Boosting, Support Vector Machine, and Logistic Regression, the Support Vector Machine method demonstrated superior performance on both balanced and imbalanced datasets.
- MakaleAçık Erişim2026Comparative Analysis of the Seismic Risk of Tunceli-Ovacık Rural Building Stock Using Different Rapid Screening Methods
Polat, Berivan Yılmazer; Ayhan, Ezgi
Located at the intersection of the Yedisu Segment, a seismic gap, and the active Ovacık Fault, the Tunceli-Ovacık district is a region with a high earthquake risk but an unclear level of structural fragility. This study aims to assess the seismic safety of the rural building stock located in a seismically critical area. To this end, the Turkish Rapid Visual Screening (RVS), based on local parameters, and the Canadian Seismic Survey Method, widely used in international literature, were applied to determine the current condition of the buildings; the earthquake risk of the region was analyzed based on the results obtained. Furthermore, similarities and differences between the methods were comparatively examined to ensure scientific integrity. Within the scope of the study, 209 buildings representing the building typology in the region, 88% of which are masonry-mixed systems, were analyzed using both rapid assessment algorithms. While the overall risk distribution ratios were similar, building-level matching analyses showed a medium level of agreement between the methods. This indicates that the local and universal methods, rather than definitively verifying each other, provide complementary data by focusing on different parameters in the seismic assessment of the rural building stock. This study demonstrates that an integrated risk mapping approach, where different methodologies complement each other, can offer a rapid and reliable decision support mechanism for urban transformation strategies in cities with high earthquake risk, such as Tunceli.
- MakaleAçık Erişim2026Place of Global Issues in EFL Lecturers’ Teaching Agenda in Türkiye
Sahinkarakas, Sehnaz; Özel, Sezai
This study examines English as a Foreign Language (EFL) lecturers’ views on integrating global issues into language teaching in Turkish higher education. Using a sequential explanatory mixed-methods design, data were collected from 414 EFL lecturers across 12 universities via a questionnaire, followed by semi-structured interviews with 29 participants. Quantitative results indicate that EFL lecturers generally support the integration of global issues into EFL instruction. While gender, age, or overall teaching experience did not yield significant differences, prior experience specifically with global-issue-based instruction emerged as a significant factor. Among the themes, environmental issues were prioritized due to their perceived familiarity and pedagogical accessibility. In contrast, language imperialism was rated as the least important theme. Qualitative findings further clarify that this reluctance toward language imperialism stems from its ideological sensitivity, despite its relevance to culture and linguistic awareness. The study concludes with practical implications for language teachers, curriculum designers, and materials developers.
- MakaleAçık Erişim2026A comparative analysis of pictogram use in mobile weather applications: The cases of MGM, AccuWeather, and Apple Weather
Usta, Mesut
This study examines pictogram use in the interface designs of three mobile weather applications — MGM, AccuWeather, and Apple Weather — through a qualitative comparative case study approach. Focusing on user perception speed and information transfer efficiency rather than aesthetic value, the analysis evaluated each application across four criteria: pictogram compliance, visual complexity level, cognitive load, and icon-typography balance. Findings were theoretically grounded in usability heuristics. Expert review analysis revealed that Apple Weather achieves the lowest cognitive load through its integrated typographic system and standardized pictogram library. AccuWeather presents a moderate cognitive load through its standardized proprietary icon set, while MGM produced the highest cognitive load due to inconsistent icon styles, weak visual hierarchy, and touch target dimensions falling below international accessibility standards. The findings demonstrate that standardized and simplified pictogram systems reduce cognitive load and improve user experience, and underscore the need for systematic usability evaluation of institutionally developed mobile applications against international standards.
- MakaleAçık Erişim2026Examining the moderating role of marital spirituality between marriage satisfaction and meaning in life
Apak, Hıdır; Kınık, Kadri
This research focuses on various variables affecting the marriage process and family integrity. The aim of the study is to examine the moderating effect of marital spirituality on the relationship between marital satisfaction and the meaning of life. The importance of the research lies in the fact that examining the relationships between marital satisfaction, the meaning of life, and marital spirituality offers significant contributions at the individual, family, and societal levels. This positively affects the marital satisfaction, life motivation, and psychological resilience of married individuals, thus making a unique contribution to the literature. The research method employed a quantitative research method and was conducted using a correlational research design. The study included a total of 403 married individuals. A significant relationship was found between marital spirituality, marital satisfaction, and the meaning of life. Furthermore, it was determined that marital satisfaction positively and significantly affects the meaning of life, and that marital spirituality plays a moderating role in the strength of the relationship between marital satisfaction and the meaning of life. The study concludes that the participants' marital satisfaction positively and significantly affects the meaning of life. It was concluded that marital spirituality plays a very important role in the strength of the relationship between marital satisfaction and the meaning of life. The suggestions include conducting studies across various cultures at national and international levels to examine the moderating role of spirituality in marriage. Blended learning programs focusing on spirituality in marriage could also be developed for young adults.
- MakaleYalnız künye2026Scopus SJRQ1Influence on the thermoelectric characteristics of the growth parameters of BiSeTe thin films
Yüzüak, G. Durak; Yüzüak, E.
This study systematically investigates the influence of magnetron sputtering parameters on the structural, electronic, and thermoelectric properties of 100 nm thick Bi2SexTe3-x thin films deposited on Si(100). The initial parameters for applied film deposition are used to set the x value. The films are fabricated with sputtering powers ranging from 30 to 100 W and pressures from 3 to 15 mTorr, with films grown under optimal conditions selected for post-deposition annealing at 523 K. A comprehensive characterization suite, including X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), atomic force microscopy (AFM), and Kelvin probe force microscopy (KPFM), is used to establish direct correlations between processing, structure, and performance. XRD analysis reveals that increasing the sputtering pressure from 3 to 15 mTorr was critical for enhancing film crystallinity and promoting a strong (015) preferred orientation, while AFM showed a corresponding increase in average grain size from similar to 46 to similar to 60 nm via heat treatment (HT). EDS shows that films grown at 10 mTorr were almost certainly stoichiometric, but increasing the power to 15 mTorr caused tellurium deficiency. The films exhibited a power factor ranging from 2.5 to 2.8 mW m(- 1) K- 2 at 40 degrees C. HT improved the Seebeck coefficient from -115 mu V K- 1 to -140 mu V K- 1 and decreased the electrical resistivity by over 25 % through defect reduction and enhanced crystalline order. KPFM supported these findings, directly linking the crystallographic texture to the surface electronic structure and enhanced Seebeck effect.
AtıfWoS2OpenAlex2
İncele - MakaleYalnız künye2026Scopus SJRQ2Practical one-step solvothermal synthesis of photoactive lanthanum(III)hydroxide-metaborate composite nanosheets with suitable band gap for optoelectronics
Karaduman, Oktay
Rare earth compounds, including lanthanide hydroxides, have been greatly interested for their promising uses, such as in optoelectronics or photonics, due to their unique electronic and optical transitions properties based on their 4f electron shells. In this work, for the first time new transparent flower-like lanthanum(III)hydroxide (La(OH)3) with borate (LaB3O6) composite nanosheets having a semiconducting band gap suitable for optoelectronics were synthesized by a very simple one-step solvothermal method from a mixture of pure lanthanum oxide and boron without using water or any acidic solvent or surfactant. The practical synthesis was made for two different solvothermal time durations. The synthesized nanocomposites were investigated by XRD, FIB-SEM imaging, EDS, FTIR, UV-vis absorbance, Raman, Ellipsometry, and TG-DTA analyses. The pure precursors lanthanum oxide (La2O3) and boron converted to La(OH)3 and LaB3O6. EDS elemental mapping showed the homogeneous distribution of elements in the nanocomposites. A strong deep-UV absorbance band was detected. The very low reflectance and excellent visible transmittance (exceeding 86% for the sample with a longer solvothermal process time) reaching infrared region were achieved. The direct and indirect band gap energies were estimated by the Tauc plot method for both of the composite samples. Adding boron reduced the literature given direct band gap value (around 4.5-5.5 eV) of pure La(OH)3. DTA and TGA results revealed the steps of mass losses, including decomposition of La(OH)3. FTIR analyses confirmed the presence of the formed compounds. All results showed that the La(OH)3+LaB3O6 nanocomposites can be suitably used in related applications, including electro-optic, photonic, solar cell, catalysts etc.
- MakaleYalnız künye2026Scopus SJRQ2OBITUARY Prof. Dr. Mehmet Seyitdanlıoglu, flowed from our eyes to our hearts...
Çakmak, Yalcin
- MakaleYalnız künye2026The effect of a professional development program on e-learning readiness and digital fluency: a study with higher education academics
Demiralp, Demet; Gunduzalp, Seda
Purpose This study aims to determine the effectiveness of a targeted professional development program in enhancing two critical competencies for higher education academics in the digital age: e-learning readiness and digital fluency.Design/methodology/approach This study used a pretest-posttest control group model within a quasi-experimental framework with 46 academics. The experimental group (n = 23) participated in a six-week training program, whereas the control group (n = 23) received no intervention. Data were collected using validated scales for e-learning readiness and digital fluency.Findings Findings demonstrated that the experimental group experienced considerable gains in both e-learning readiness and digital fluency scores. In contrast, no significant changes were observed in the control group, providing strong evidence of the program's effectiveness.Originality/value Unlike most descriptive studies in the field, this study provides quasi-experimental evidence of program effectiveness regarding professional development interventions. It offers an empirically validated model from a T & uuml;rkiye higher education context, providing valuable insights for university administrators and policymakers internationally who are facing similar challenges.
- MakaleAçık Erişim2026Analysis of buildings in Tunceli - Pülümür district with the Canadian seismic screening method
Gundogdu, Yunus Emre; Polat, Berivan Yilmazer
This study, which was conducted in the P & uuml;l & uuml;m & uuml;r district of Tunceli, was carried out in an area with high seismic risk due to the region's proximity to the Bing & ouml;l-Yedisu Fault. In the study, the earthquake safety of the existing building stock was assessed using visual inspection methods. In this context, 172 buildings in the P & uuml;l & uuml;m & uuml;r district of Tunceli province were examined in detail in terms of earthquake safety using the Canadian Seismic Screening Method. In the analysis, seismic safety levels of the buildings, structural and nonstructural risks were taken into consideration and seismic priority indexes (SPI) were determined. The results of the study revealed that a large portion of buildings in the P & uuml;l & uuml;m & uuml;r district carry different levels of risk of earthquake. Specifically, the evaluated building stock was entirely constructed before the critical year of 2007 and exhibits high seismic vulnerability. This critical threshold is technically attributed to two main regional factors: the design practices predating the 2007 Turkish Earthquake Code and the absence of ready-mixed concrete technology in Tunceli province prior to that year. Furthermore, based on the method's classification, it is suggested that buildings with a Seismic Priority Index (SPI) greater than 20, which indicates High to Very Hazardous risk levels, should be prioritized for detailed assessment and retrofitting, and that local governments should develop incentive policies for these mitigation efforts.
- MakaleAçık Erişim2026Adoption of artificial intelligence-supported digital banking applications and their impact on customer loyalty
Cevher, M. F.; Önen, E.
The rationale of this paper is that AI-enabled digital banking applications enhance consumer experiences and customer relationships; however, holistic findings on the impact of these applications on customer satisfaction and loyalty, beyond their benefits and adoption, are limited. The study aims to reveal the impact of AI-powered digital banking applications on customer loyalty by examining consumer adoption, experience, and satisfaction levels. The theoretical basis is grounded in an integrated research model that correlates variables from the technology acceptance model and the expectation confirmation model. The data and research methods comprise 510 participants using AI-enabled banking applications in T & uuml;rkiye, employing a quantitative research design and an online survey technique. The data obtained were analysed using structural equation modelling (PLS-SEM). The findings indicate significant effects of perceived ease of use on perceived usefulness, as well as the relationship between perceived usefulness and confirmation on satisfaction. Furthermore, significant effects of satisfaction on continuance intention and continuance intention on customer loyalty were found. However, the direct effect of satisfaction on customer loyalty is not significant. This result suggests that satisfaction plays an indirect role in the formation of customer loyalty through continuance intention. Therefore, satisfaction and continuance intention are critical variables in strengthening customer loyalty in AI-enabled digital banking. Increasing customer satisfaction may not be sufficient for enhancing customer loyalty: banks must devise strategies to support customers' intentions to use applications regularly.
AtıfOpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2From assistance to dependence: The nexus between AI dependence and workplace cognitive engagement
Uyan, Umut; Ibin, Adil
Background The increasing integration of artificial intelligence (AI) tools into workplace practices has reshaped how employees process information and perform cognitive tasks. While these systems are often associated with superior efficiency, their excessive use may entail significant cognitive costs. Objective Grounded in automation complacency perspective and the growing literature on technology addiction, this study investigates how dependence on artificial intelligence is associated with cognitive engagement in the workplace, with particular attention to the mediating role of cognitive fatigue. Methods Adopting quantitative research design, data were collected from 246 academic and administrative staff who actively use AI tools in their daily work routines. Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the theoretical model proposed. Results The findings indicate that dependence on AI was positively associated with cognitive fatigue (beta = 0.569; t = 13.468; p = 0.000) and negatively with cognitive engagement (beta = -0.174; t = 2.503; p = 0.012). In addition, the relationship between cognitive fatigue and cognitive engagement was found to be negative and statistically significant (beta = -0.207; t = 2.773; p = 0.006). Mediation analysis further revealed that cognitive fatigue partially mediates the relationship between dependence on AI and cognitive engagement (indirect effect beta = -0.118, t = 2.724, p < .01; VAF = 40.5%). Conclusion These results suggest that higher levels of dependence on AI correspond to higher employee cognitive fatigue, which in turn relates to lower cognitive engagement at work. By empirically demonstrating the cognitive costs of AI reliance, this study contributes to the emerging literature on workplace AI and technology addiction.
- MakaleAçık Erişim2026Scopus SJRQ1Upcycling Agricultural Biomass into Functional Bio-Oils through Pyrolysis: Toward Sustainable Rejuvenation of Asphalt Binder
Furtana Yalcin, Beyza; Yilmaz, Mehmet; Yalçin, Erkut; Vural Kok, Baha
This study investigates the feasibility of utilizing bio-oils derived from agricultural waste materials (such as straw, olive pomace, and pine cones) as rejuvenating additives in reclaimed asphalt pavement (RAP) containing bituminous mixtures, offering a sustainable and environmentally friendly approach in asphalt technology. The primary objective of the study is to enhance the physical and mechanical properties of aged binders using ecofriendly alternatives, thereby developing high-performance asphalt mixtures without harming the environment. The bio-oils, produced through pyrolysis, were evaluated in comparison with two commercial rejuvenators. Key performance criteria, including Marshall stability, moisture damage resistance (TSR), indirect tensile stiffness modulus (ITSM), and fatigue life, were tested. The results indicate that natural rejuvenators not only soften the aged binder but also effectively balance the flexibility, strength, and deformation resistance of the mixture. Notably, straw oil exhibited superior performance in terms of both high stability and extended fatigue life, while olive pomace oil demonstrated remarkable success in moisture resistance. Although commercial additives were effective to a certain extent, they failed to achieve the same level of structural compatibility and sustainability provided by natural bio-oils. In this regard, the study provides strong evidence that agricultural biomass waste can serve as a value-added solution in asphalt pavements, in alignment with the principles of the circular economy. In conclusion revealed that mixtures containing 75% RAP rejuvenated with straw oil achieved 11% higher Marshall stability and up to 14.5 times longer fatigue life compared to virgin mixtures, while olive pomace oil-based mixtures reached a TSR value of 81.5%, demonstrating superior moisture resistance.
