Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(47)
- Pat, Suat(29)
- Özen, Soner(29)
- Şenay, Volkan(24)
- Korkmaz, Şadan(23)
- Esmer, Yusuf(21)
- Şahin, Engin(21)
- Korkmaz, Özge(20)
- Cuce, Erdem(19)
- Öner, Erdal(18)
- Öztürk, Mesut(18)
- Artar, Musa(17)
- Yilmaz, Mustafa Tahsin(17)
- İspirli, Hümeyra(16)
- Ecem Bayram, Nesrin(15)
- Kaya, Yunus(15)
- Cinar, Mehmet(13)
- Cuce, Pinar Mert(12)
- Kamiloğlu, Aybike(12)
- Kutlu, Naciye(12)
- Mercan, Emin(12)
- Birinci, Ahmet(11)
- Bulut, Mehmet(11)
- Yaylacı, Murat(11)
- Bayram, Ozkan(10)
- Can, Zehra(10)
- Doğan, Zeki(10)
- Kahya, Cem(10)
- Karaali, Rabi(10)
- Pabuçcu, Hakan(10)
- Tosun, Figen Çam(10)
- Özdemir, Akın(10)
- Ayazoglu, Rabil(9)
- Battal, Fetullah(9)
- Bayram, Nesrin Ecem(9)
- Büte, Mustafa(9)
- Ertugrul, Mehmet(9)
- Kadakal, Mahir(9)
- Kaplan, Abdullah(9)
- Sarikaya, İsmail(9)
Yayınlar
- MakaleYayıncıda açık erişim2025Scopus SJRQ1Effects of Autochthonous Starter Cultures on the Quality Characteristics of Traditionally Produced Sucuk
Kaya, Mükerrem; Sayın, Bilge; Çinar Topçu, Kübra; Kaban, Güzin
This study aimed to evaluate the impact of autochthonous strains (Pediococcus pentosaceus 128b, Latilactobacillus sakei S15, Lactiplantibacillus plantarum S91, L. plantarum S24 and Staphylococcus carnosus G109) used as mono and mixed starter cultures on the quality attributes of traditionally produced sucuk, a Turkish dry fermented sausage, in a local small-scale facility. At the end of ripening, samples underwent comprehensive microbiological and physicochemical analyses. The use of autochthonous starter cultures (ASC) showed no statistically significant influence on thiobarbituric acid-reactive substances and water activity value. Lower pH values were observed in groups with autochthonous lactic acid bacteria strains (ALABS) compared to the control group. However, ALABS inhibited Micrococcus/Staphylococcus growth by rapidly lowering the pH, except in the groups with S. carnosus G109. The use of ASC led to an increase in the L* values of sucuk samples, except monoculture L. plantarum S91. The correlation heat map illustrating the relationships between the starter cultures and volatile compounds revealed that all groups containing L. plantarum S91 exhibit a volatile compound profile different from other single or mixed cultures. According to the results of the principal component analysis performed to determine the relationship between the chemical groups of the starter cultures and volatile compounds, the groups containing L. plantarum S91 differed from the other groups and showed positive correlations with phenols, furans, acids, terpenes, aromatic hydrocarbons, ketones, nitrogenous compounds, esters, and aliphatic hydrocarbons.
AtıfScopus4WoS4OpenAlex4
İncele - MakaleYalnız künye2025Scopus SJRQ3A comprehensive analysis of the ground motions of the 2023 Kahramanmaraş, Türkiye earthquakes
Kiral, Adnan; Tonyali, Zeliha; Ergun, Mustafa
With a focus on the dynamic characteristics of the ground motion recorded in Kahramanmaraş, Türkiye, this study provides an overview of the historical seismicity of the Eastern Anatolian Fault Zone (EAFZ) as well as the characteristics of the Pazarcik and Elbistan earthquakes (Mw=7.7 and Mw=7.6) that resulted in property loss and casualties on February 6, 2023. Analyzing the ground motion and local site effects for the earthquake region has been the subject of extensive research in the past. Ground Motion Prediction Equations (GMPEs) are one of the evaluation techniques utilised in the literature. Previous research employing this approach and other techniques suggested that the earthquake region’s geotechnical and seismological conditions are complicated, particularly in Hatay City. In this study, to further investigate the ground motions, six GMPEs, which were previously proposed for the USA, Europe and the Middle East, are adopted. The findings of this study are integrated with those from previous research for comprehensive assessments. This study shows that the PGA of the Kahramanmaraş earthquakes cannot be fully predicted using GMPEs, which use epicentral distance (Repi) in the equation. As a result, further research into rupture distance (Rrup) or Joyner-Boore distance (Rjb)-based equations is necessary. Also, the complexity of the region (i.e., irregularities present in alluvial deposits) and the high PGA values could be responsible for such a result. This study emphasizes the region’s need to have more sophisticated GMPEs in the future.
AtıfScopus11WoS8OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ2Optimized ultrasonic-NaDES extraction of anthocyanins, polyphenolics, and organic acids from chokeberry fruit with blueness and antimicrobial evaluation
Gerçek, Yusuf Can; Kutlu, Naciye; Çelik, Saffet; Bayram, Sinan; Kırkıncı, Seran; Ecem Bayram, Nesrin
Deep eutectic solvents (DESs) have been widely used in food processing in recent years, owing to their remarkable advantages. The aim of this study was to evaluate the potential of DESs for the recovery of bioactive components from chokeberry fruit. First, among the 10 different DESs, the DES that extracted the highest total individual phenolic content (TIPC) from chokeberry was determined. Then, ultrasonically assisted extraction conditions (ultrasonic amplitude, time, and temperature) were optimized by response surface methodology to obtain the maximum amount of TIPC using this DES. According to the results obtained, the natural deep eutectic solvent (NaDES) choline chloride: acetic acid (1:2, 30% water content) provided the highest yield for TIPC extraction and the optimum conditions for maximum TIPC extraction were determined as 100% for ultrasonic amplitude, 50 °C for temperature and 60 min for sonication time. The TIPC content of the extracts prepared with this NaDES was determined between 1740.26 and 3703.14 mg/kg. In addition, the individual organic acid and individual anthocyanin contents of the NaDES extracts, as well as their antioxidant and antimicrobial activities, were determined. Chlorogenic acid (1392.351–2361.48 mg/kg) among phenolic compounds, pyruvic acid (9361.35–47398.04 mg/kg) among organic acids and kuromanin chloride (69748.13–134668.24 mg/kg) among anthocyanins were the dominant compounds in NaDES extracts. However, the extracts showed varying levels of antimicrobial activity against Gram (+) bacteria, Gram (−) bacteria, and yeast-like fungi (Candida strains). Finally, the Blue Applicability Grade Index (BAGI) was used to evaluate the practicality/blueness potential of the chromatographic method used to determine the anthocyanin composition of the DES extracts. In conclusion, NaDES (choline chloride:acetic acid) can be an alternative solvent for the recovery of some individual phenolics, organic acids and anthocyanins under different extraction conditions. In addition, the use of NaDES in the recovery of various functional compounds needed in food, cosmetics, pharmaceuticals, etc., is important for the promotion of sustainability and green technology.
AtıfScopus19WoS18OpenAlex19İncele - MakaleYalnız künye2025Scopus SJRQ3Music Therapy for Reduction of Postoperative Nausea and Vomiting and Evaluation of Patient Satisfaction in Patients Undergoing Bariatric Surgery: A Prospective, Randomized Controlled Study
Karadas, Yasemin AY; Sahin, Sibel Yilmaz
Introduction: Bariatric surgery is a treatment method that is gaining popularity in the world and Turkey due to the inadequacy of traditional methods in obesity treatment in achieving the desired results and the need for long-term treatment coverage. This study aimed to investigate the effect of music on postoperative nausea and vomiting (PONV) management and patient satisfaction in individuals undergoing bariatric surgery. Methods: A total of 48 patients, 24 in the experimental group and 24 in the control group, were included in this study. Music therapy was applied to the experimental group participants just before the 2nd and 6th hours after surgery, while the control group participants were routinely monitored without intervention. Results: There was no significant difference between the experimental and control groups in terms of PONV severity and Postoperative Nausea and Vomiting Impact Scale scores at the 2nd, 4th, 6th, 12th, and 24th hours (p > 0.05). Music therapy was associated with statistically significantly higher nurse satisfaction in the experimental group (p < 0.05). Conclusion: The results of this study indicate that music therapy has no significant effect on PONV after bariatric surgery but is effective in increasing patient satisfaction.
AtıfOpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ1Eco-friendly reduction of graphene oxide using urea: An optimized approach for high-performance rGO
Ucuncuoglu, Didar; Bektaş, Enes; Karakaş, İbrahim Hakkı; Amin Bhuiyan, Mohammad Ruhul; Korucu, Haluk
The growing demand for environmentally friendly and cost-effective approaches has accelerated the development of sustainable methods for the synthesis of reduced graphene oxide (rGO). In this study, urea was utilized as a green reducing agent for rGO synthesis, offering an alternative to conventional toxic chemicals. The synthesized rGO was comprehensively characterized using FTIR, SEM-EDS, Raman spectroscopy, XRD, BET analysis, zeta potential, and conductivity measurements. These analyses revealed key functional, structural, and morphological properties, including surface functional groups, elemental composition, carbon-to-oxygen (C/O) ratio, particle size (PS), crystallite size (CS), specific surface area (SSA), zeta potential (ZP), thermal conductivity (TC), and electrical conductivity (EC). Process optimization was performed using the Taguchi L4(23) orthogonal array design across nine quality parameters. Under optimal conditions, notable enhancements were achieved: C/O ratio increased by 108%, ID/IG ratio by 164%, I2D/IG ratio by 26%, CS by 75%, and SSA by 134%, while PS was reduced by 37%. Furthermore, ZP and TC increased by 58% and 33%, respectively, whereas EC was reduced by 97%. These findings demonstrate the potential of urea as a sustainable and effective reducing agent in the production of high-performance rGO materials.
AtıfScopus3WoS3OpenAlex3İncele - EditoryalYalnız künye2025Preface
Esmer, Yusuf; Aytar, Oğuzhan
- MakaleYalnız künye2025Scopus SJRQ2THE REFLECTIONS OF THE DISASTER OF THE CENTURY IN THE GRAND NATIONAL ASSEMBLY OF TÜRKİYE
Kan, Muhammed Enes
The aim of this study is to conduct an in-depth analysis of the debates held in the Grand National Assembly of Türkiye (TBMM) following the earthquakes centered in Kahramanmaraş on February 6, 2023. To this end, all parliamentary sessions held between the date of the earthquake (February 6, 2023) and the general parliamentary elections (May 14, 2023) were obtained from the official website of the TBMM and systematically archived. During this period, the Assembly convened a total of 24 sessions. The official transcripts of these sessions constituted the dataset for the study. The data were analyzed using the content analysis method, a widely employed technique in qualitative research, with the assistance of the NVIVO 14 software package. Within this framework, the most frequently discussed topics in the TBMM regarding disaster management in the post-earthquake period were identified as follows: the declaration of a state of emergency (OHAL), allegations concerning the Disaster and Emergency Management Authority (AFAD) and the Turkish Red Crescent (Kızılay), the deployment of the Turkish Armed Forces (TSK) in search-and-rescue efforts, the continuity of education, and issues related to refugees.
- MakaleYayıncıda açık erişim2025Scopus SJRQ4ANALYSIS OF PESTICIDES, ANTIBIOTICS, AND HEAVY METAL LEVELS IN HONEY PRODUCED IN THE BAYBURT AND UPPER ÇORUH VALLEY REGIONS OF TÜRKİYE; [Türkiye'nin Bayburt ve Yukarı Çoruh Vadisi Bölgelerinde Üretilen Ballarda Pestisit, Antibiyotik ve Ağır Metal Düzeylerinin Analizi]
Özdemir, Mustafa; Yildizlar, Osman
This study investigates pesticide, antibiotic, and heavy metal levels in Bayburt and the Upper Çoruh Valley honey. Thirteen honey samples were collected from different apiaries managed by stationary and migratory beekeepers. These samples were analysed for heavy metals (Fe, Cu, Zn, Cd, Pb), antibiotics, pesticides, and chemical residues such as naphthalene. The results revealed that lead (Pb) levels exceeded international food safety standards in 2 honey samples, while pesticide residues were detected in 5 samples. Additionally, antibiotic residues were found in 6 samples, including sulfamethazine, tetracycline, and streptomycin. However, no naphthalene was detected in any of the samples. These findings highlight the importance of stricter regulations and monitoring systems to control chemical use in beekeeping practices. Enhancing awareness among beekeepers regarding the risks associated with pesticide and antibiotic use is crucial for improving honey quality and ensuring the health of beekeepers and consumers. The adoption of safer practices and adherence to guidelines are necessary to mitigate these health hazards.
AtıfOpenAlex1TR Dizin2
İncele - MakaleYalnız künye2025Scopus SJRQ2A novel exopolysaccharide from cold-adapted yeast Rhodotorula glutinis, along with structural, rheological, antioxidant, and antibiofilm properties
Oztekin, Sebahat; Dikmetas, Dilara Nur; Karbancıoglu-Guler, Funda
In the present study, a novel exopolysaccharide EPS-BMD26 produced by cold-adapted yeast Rhodotorula glutinis was structurally examined, along with its rheological, antioxidant, and antibiofilm properties. High-performance liquid chromatography (HPLC) analysis revealed glucose and galactose as two monosaccharide constituents. The functional groups within the EPS-BMD26 structure were detected by Fourier transform infrared (FT-IR) spectroscopy. The 1H and 13C nuclear magnetic resonance (NMR) spectra of EPS-BMD26 also confirmed its β-D-glucan type with galactose residues with an average molecular weight of 118 kDa. Differential scanning calorimetry (DSC) analysis revealed that EPS-BMD26 had a high level of thermal stability, up to 326.16 °C. Scanning electron microscopy (SEM) analysis demonstrated that EPS-BMD26 had a porous microstructure with fissures. X-ray diffraction (XRD) analysis revealed its semi-crystalline nature. EPS-BMD26 showed moderate and concentration-dependent antioxidant potential recruiting different methods, including •OH, DPPH•, CUPRAC, and ABTS radical scavenging activities. Water-soluble EPS-BMD26 exhibited high water holding capacity of 190 ± 0.22% with a water solubility index of 60.6 ± 8.3%. At 1.25 mg mL-1, EPS-BMD26 inhibited biofilm formation of Staphylococcus aureus ATCC 25923 by 79.5%. Rheological characterization revealed that the aqueous solution of EPS-BMD26 had shear thinning and pseudoplastic behavior. Given these properties, EPS-BMD26 may be a promising bio-hydrocolloid, antibiofilm agent, and food additive for industrial applications.
AtıfScopus15WoS15OpenAlex17İncele - MakaleYalnız künye2025Scopus SJRQ1Multi-input hybrid face presentation attack detection method based on simplified Xception and channel attention mechanism
Günay Yılmaz, Asuman; Turhal, Uğur; Nabiyev, Vasif
Currently, biometric recognition systems, especially facial recognition systems, are frequently used for person authentication. Increasing facial image and video sharing on social media makes these systems vulnerable to attacks. For this reason, there is an increasing need for sensitive face presentation attack (FPA) detection systems. In this paper, a lightweight multi-input hybrid deep convolutional neural network model was proposed for FPA detection. For this purpose, a simplified version of the widely used Xception network was developed. This model was extended via squeeze and excitation blocks to weight the data in the feature encoding channels. In addition, a simple residual network architecture with attention blocks was designed. The FPA detection performances of these models were subsequently examined in cases where the input data consisted of the raw images or cropped facial images. According to the results, a deep learning architecture with three parallel connections was proposed. The raw images, cropped facial images, and face-weighted multi-color multi-level local binary pattern features were given as inputs to the proposed model. Therefore, a multi-input hybrid FPA detection model was created using both hand-crafted features and deep features. The proposed architecture has approximately 82% fewer parameters than the original Xception network does. The experimental results on the benchmark CASIA and REPLAY-ATTACK datasets demonstrate the model's effectiveness, achieving a 1.53% equal error rate (EER) on the CASIA dataset and 0.00% EER with a 0.07% half total error rate (HTER) on the REPLAY-ATTACK dataset. These results outperform many state-of-the-art methods while requiring significantly fewer computational resources, making the approach suitable for deployment in resource-constrained environments.
AtıfScopus5WoS4OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ4Tunable optoelectronic performance of ZnO-Coated TiO2 nanowires for enhanced UV photodetection
Sarac, M.F.; Solakyildirim, T.; Teber, A.
In this study, vertically aligned TiO2 nanowires (NWs) were fabricated on titanium (Ti) foil via thermal oxidation and subsequently coated with zinc oxide (ZnO) using zinc acetate solutions of 25, 50, and 100 mM concentrations. Structural and optoelectronic properties were systematically investigated using SEM, XRD, XPS, PL, UV-Vis, and I-V analyses. SEM results confirmed a progressive ZnO surface coverage, with complete encapsulation observed at 100 mM. EDS analysis revealed a Zn content increase from 0.81 wt.% (25 mM) to 8.43 wt.% (100 mM), accompanied by a decrease in Ti content from 70.78 wt.% to 49.02 wt.%. XRD patterns showed distinct ZnO peaks for coated samples, while XPS confirmed Zn2+ and Ti4+ states with minimal interdiffusion. Optical bandgap values increased slightly with ZnO concentration: 3.04 eV (pure TiO2), 3.06 eV (25 mM), 3.05 eV (50 mM), and 3.11 eV (100 mM), attributed to enhanced crystallinity and heterojunction formation. PL spectra showed increasing green luminescence (∼520 nm) with ZnO content, indicating rising defect-related recombination. Electrical measurements showed a sharp rise in photocurrent from 3.67 × 10−6 A (pure TiO2) to 4.74 × 10−4 A (100 mM). Correspondingly, responsivity (R) increased from 0.020 to 2.168 mA/W and detectivity (D*) from 8.5 × 108to 7.56 × 109 Jones. These results demonstrate that ZnO coating substantially enhances light absorption, charge separation, and carrier transport properties of TiO2 NWs. The optimized 100 mM ZnO-TiO2 heterostructure offers high-performance UV photodetection potential for environmental sensing, wearable optoelectronics, and aerospace technologies.
AtıfOpenAlex1İncele - KitapYalnız künye2025Entrepreneurship and Innovation Management in the Context of the Knowledge Economy and Digitalization
Esmer, Yusuf; Aytar, Oğuzhan
Today, with globalization, innovation, competition, and the deepening of the knowledge economy, the demand for advanced systems such as digital transformation that enhance and support business and management functions is increasing. In addition to improving management-human collaboration, this process is expected to shed light on smart jobs, redesign division of labor programs, reassess managers' responsibilities, and redesign basic working principles. Therefore, this book, which brings together the themes of entrepreneurship and innovation management in the context of the knowledge economy and digitalization in parallel with the new possibilities and opportunities created by these systems emerging due to technological developments, is thought to guide researchers. This book consists of 26 chapters covering a wide range of topics by various authors and researchers. In these chapters, topics such as digitalization, digital transformation, digital innovation, digital entrepreneurship, innovation strategies, green entrepreneurship, strategic innovation, big data, artificial intelligence, knowledge management, digital organizations, and digital economy are discussed with their various aspects and applications.
- MakaleYalnız künye2025Scopus SJRQ2Semi-analytical analysis of orthotropic-isotropic contact in layered media with consideration of body forces
Öner, Erdal; Oktay, Mine Gül
Contact mechanics is a key field that involves theoretical, computational, and experimental methods essential for tribology and designing components across various industries. It plays a crucial role in solving boundary value problems in civil engineering, mechanical engineering, and medicine. This study investigates the continuous contact problem of an orthotropic layer positioned on an isotropic half-plane, utilizing a semi-analytical approach based on elasticity theory. The solution considers the body force generated within the orthotropic layer when subjected to frictionless loading by a rigid cylindrical punch. The research presents dimensionless results for key parameters, including contact length, contact stress, critical separation distance, and critical separation load, while examining the effects of different dimensionless variables and the characteristics of the orthotropic materials. The novelty of this study lies in its simultaneous analysis of isotropic and orthotropic material behavior in a contact mechanics problem, along with the incorporation of body forces—a combination that has not been previously explored for this specific geometry in the literature. The study offers a more comprehensive understanding of the contact mechanics involved by addressing the often-overlooked influence of body forces, which play a crucial role in stress distribution and material deformation, particularly in large-scale structures. This inclusion allows for more accurate predictions of material behavior in real-world engineering applications where gravitational loads are significant factors.
AtıfScopus4WoS4OpenAlex4İncele - MakaleYalnız künye2025Scopus SJRQ3Electronic structure and adsorption behavior of 2PANI with selected gases: A DFT approach
Ekincioglu, Yavuz
This study examines the adsorption properties of C2H4, F2, HCl, and H2S gases on 2PANI using density functional theory (B3LYP/6-311++G(d,p)). Adsorption energies follow the order: 2PANI-HCl > 2PANI-H2S > 2PANI-C2H4 > 2PANI-F2 including the BSSE corrections. Geometry optimizations and topological analyses (electrostatic potential, localized orbital locator and electron localization function) were performed using Multiwfn software. Mulliken charge analysis assessed the sensing potential of 2PANI for each gas. Time-dependent DFT was used to analyze molecular orbitals, reactivity indices, density of states, and UV-Vis spectra, revealing red or blue shifts depending on the gas type. The results confirm that C2H4, F2, HCl, and H2S can be physically adsorbed onto 2PANI. The recovery time and conductivity were evaluated to determine gas sensitivity performance.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2025Scopus SJRQ2Attitudes of physical education teachers in inclusive schools towards teaching autistic students: a phenomenological study
Oğur, Yekta Göksel; Yarımkaya, Erkan; Aydemir, Uğur; Kul, Murat
With the increasing presence of autistic students in inclusive schools, understanding the attitudes of physical education (PE) teachers towards teaching these students has become important. The current study aimed to examine the attitudes of PE teachers in inclusive schools towards teaching autistic students using the theory of planned behavior. The participants of this phenomenological-qualitative study were 16 PE teachers who participated in one-on-one semi-structured telephone interviews. The interviews were transcribed for analysis and later analyzed using thematic line-by-line analysis. The findings revealed that the majority of PE teachers in inclusive schools had negative attitudes towards teaching autistic students. Barriers and challenges during teaching autistic students were more dominant for PE teachers than facilitators. The results highlighted the importance of addressing the barriers and challenges that limit the quality of PE teachers’ teaching experiences with autistic students as a way to improve PE teachers’ attitudes and indicated the need to establish an adapted PE teacher definition, especially in countries such as Türkiye.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ2A shear deformable numerical approaches for the static analysis of bi-directional functionally graded beams
Turan, Muhittin; Kahya, Volkan; Yaylacı, Ecren Uzun; Yaylacı, Murat
This paper introduces a highly accurate and computationally efficient shear deformable finite element model for the static analysis of bi-directional functionally graded beams (BD-FGBs) with various boundary conditions grounded in the first-order shear deformation theory (FSDT). The model, featuring ten degrees of freedom across five nodes, excels in capturing both axial and shear deformations with remarkable precision while maintaining a streamlined formulation. In a novel approach, Artificial Neural Network (ANN) methods are also employed alongside the finite element analysis, offering a dual-method investigation into the static behavior of BD-FGBs. This paper aims to further advance the understanding of BD-FGM beams by exploring their static behavior under diverse loading conditions and boundary constraints, employing advanced finite element methods and artificial neural network techniques. The material properties are modeled through power-law distributions, and the governing equations are derived from Lagrange’s principle. Displacements and stresses were computed under different boundary conditions (BCs), slenderness ratios (L/h), and power-law indices (px, pz). Comparative analysis with existing literature reveals the superior suitability of the proposed finite element model for static analysis, while the ANN approach further reinforces its potential as a robust, complementary tool. The innovative combination of these methods promises to offer significant contributions to the field and provides new insights into the behavior of BD-FGBs under static loads.
AtıfScopus20WoS24OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ1Artificial intelligence, automation and employment dynamics: empirical evidence from G7 economies
Okur, Fatih; Özdemir, Enes
Purpose – This study examines how the rapid adoption of artificial intelligence (AI) and automation affects employment dynamics across G7 economies. While previous research has often focused on either AI or robotics in isolation, their combined and long-term effects on employment remain poorly understood. Addressing this gap is crucial for policymakers seeking to balance technological progress with labor market stability. Design/methodology/approach – Using a balanced panel dataset covering 2010–2024 for the G7 countries, the study investigates the relationships between AI investment (proxied by information and communication technology (ICT) investment), robot density (ROBOT), wages, productivity (PRD) and education spending (EDU), and their impact on employment. The analysis employs panel unit root and cross-sectional dependence tests, a panel autoregressive distributed lag (ARDL) framework estimated via the pooled mean group (PMG) estimator, and robustness checks using Driscoll–Kraay fixed effects, common correlated effects (CCE) estimators, country-specific regressions and Dumitrescu–Hurlin panel causality tests. Findings – The results reveal that AI investment has a significant negative effect on employment in the long run, whereas ROBOT shows a positive but context-dependent relationship. Wage levels are negatively associated with employment, while PRD shows only a modest positive influence. Education expenditure exhibits mixed behavior – positive in the short run but negative in the long run – suggesting potential misalignment with evolving labor market needs. Causality tests confirm a unidirectional link from AI investment to employment, underscoring its structural role in labor market change. Research limitations/implications – This study is limited by data availability, particularly the lack of detailed sectoral or occupational breakdowns across countries. As a result, it cannot fully capture the distributional effects of AI and automation across different worker groups. The use of proxies, such as ICT investment for AI, may not reflect the full scope of AI deployment. Despite these limitations, the findings highlight important macro-level dynamics and suggest that technological investments significantly shape employment trends. Future research should utilize micro-level data to explore sector-specific impacts, wage effects and labor force transitions in response to digital transformation. Practical implications – The findings suggest that without targeted policy interventions, increased AI investment may displace workers in the long run. Policymakers should prioritize reskilling, adapt education systems to evolving technological needs, and differentiate strategies across sectors and worker skill levels. Social implications – This study highlights the potential for AI and automation to reshape labor markets, with implications for income distribution, job security and social cohesion. The displacement of routine jobs may disproportionately affect low-skilled and vulnerable workers, increasing the risk of inequality and social exclusion. To prevent deepening divides, social policies must focus on equitable access to education, digital literacy and lifelong learning. Supporting workforce adaptability through inclusive training programs and social safety nets is essential. The results underscore the urgent need for collaborative efforts between governments, educational institutions and industries to ensure a socially sustainable digital transformation. Originality/value – This study is among the first to jointly analyze AI and robotics within a dynamic panel framework, offering new cross-country evidence on their heterogeneous employment effects in advanced economies. By integrating multiple estimation strategies and country-specific perspectives, the paper contributes to a more nuanced understanding of how technological transformation reshapes labor markets and highlights the institutional conditions that mediate these effects.
AtıfScopus5WoS5OpenAlex3İncele - MakaleYalnız künye2025Scopus SJRQ1Exploring the transformative power of GenAI in education: an exploratory journey from social studies classes
Yetişensoy, Okan
The potential of GenAI in educational settings has attracted considerable attention, yet practical explorations of its use in K-12 classrooms are still scarce. This research aims to explore the role of GenAI models in social studies, focusing on their influence on learning-teaching processes and understanding of AI. While exploring the influence of GenAI on pedagogical aspects from the perspective of the teacher and students, this qualitative study also embraces AI as a cross-curricular theme and seeks to understand how GenAI-supported teaching activities shape students’ AI understanding. The study group of this research, conducted according to the basic qualitative research design, consisted of 21 middle school students studying in one class and a social studies teacher who implemented the practices. The primary data collection tool for the research was semi-structured interview forms. In the relevant research, a teaching framework supported by GenAI, combining “Teaching with AI” and “Teaching about AI” was developed. During the four-week process, the practitioner teacher covered the curricular outcomes using lesson plans designed in alignment with this framework. In the semi-structured interviews, students stated that engaging in activities supported by GenAI not only made the learning process more effective and interesting but also enhanced their understanding regarding AI. The teacher highlighted that GenAI models encouraged constructivist learning environments, ensured the active involvement of all students, including those in inclusive education, and contributed to AI learning through their engaging structure. Additionally, the teacher highlighted technology’s drawbacks, including encouraging dependence on convenience and potentially providing inaccurate information. The relevant findings of the study, serving as first observations, are expected to provide valuable insights for future research. At this point, it is recommended that further studies be conducted to explore the transformative potential of GenAI in education, especially by employing experimental designs. An additional suggestion, on the other hand, is to disseminate AI throughout the entire curriculum of all subjects within a specific educational level as a cross-curricular theme, as opposed to limiting its teaching to merely a singular, isolated subject area.
AtıfScopus2WoS1OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ1New results on the global dynamics for a two-species chemotaxis system with two chemicals and logistic sources
Ayazoglu, Rabil; Ekincioglu, Ismail
This paper deals with the following competitive two-species chemotaxis system with two chemicals with a source term of logistic type ut=Δu−χ1∇⋅(u∇υ)+η1u−μ1u2, υt=Δυ−υ+ω, ωt=Δω−χ2∇⋅(ω∇z)+η2ω−μ2ω2, 0=Δz−z+u, (x,t)∈Ω×(0,T) under homogeneous Neumann boundary conditions [Formula presented] and initial conditions u(x,0)=u0(x), υ(x,0)=υ0(x), ω(x,0)=ω0(x), x∈Ω, in a bounded domain Ω⊂RN (N≥1), where the parameters χ1, μ1, μ2>0 and η1, η2, χ2∈R. It is proved that the corresponding initial-boundary value problem possesses a unique global bounded classical solution if one of the following cases holds: (i)χ2≤0, (ii)χ2>0 as well as μ2 is large enough, which partially improves the results of [25].
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2025Scopus SJRQ1Optimized model updating and site-specific seismic assessment of a historical masonry bridge
Tayfur, Bilal
This study comprehensively evaluates an 800-year-old masonry bridge using advanced non-destructive testing techniques, an innovative model update process, and site-specific ground motion analysis. Employing Operational Modal Analysis, Ultrasonic Pulse Velocity, and Schmidt Hammer tests, the research meticulously characterized the structural dynamic properties. The preliminary finite element model was rigorously refined utilizing the Tabu Search optimization algorithm by minimizing discrepancies between numerical and experimental modal parameters. Site-specific earthquake records, carefully selected and prepared in accordance with the Turkish Building Earthquake Code, were applied to conduct detailed time-history analyses across 11 distinct ground motion records. Despite experiencing stresses approaching critical thresholds, the bridge demonstrated remarkable structural integrity. While the findings indicate the bridge’s structural soundness under current seismic hazard analysis criteria, the results notably emphasize that the frequency content similarities between the structure and ground motion are more critical for seismic performance assessment than peak ground acceleration (PGA) values, underscoring the importance of continuous monitoring given the region’s complex tectonic characteristics.
AtıfScopus5WoS3OpenAlex4İncele