Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(115)
- Kaya, Yunus(50)
- Ayata, Ümit(48)
- Şahin, Engin(48)
- İspirli, Hümeyra(46)
- Bayraktar, Bülent(42)
- Şenay, Volkan(41)
- Can, Zehra(39)
- Özen, Soner(37)
- Bayram, Sinan(35)
- Pat, Suat(35)
- Öztürk, Mesut(35)
- Ecem Bayram, Nesrin(34)
- Esmer, Yusuf(34)
- Battal, Fetullah(33)
- Artar, Musa(32)
- Öner, Erdal(32)
- Korkmaz, Şadan(31)
- Yilmaz, Mustafa Tahsin(31)
- Ertugrul, Mehmet(30)
- Mercan, Emin(30)
- Hasar, Ugur Cem(29)
- Kutlu, Naciye(28)
- Özdemir, Akın(27)
- Kul, Murat(26)
- Cuce, Erdem(25)
- Kamiloğlu, Aybike(25)
- Bayram, Ozkan(24)
- Sefali, Abdurrahman(24)
- Sert, Durmuş(24)
- Çolak, Murat(24)
- Ayazoglu, Rabil(22)
- Gıdık, Betül(22)
- Maden, Sedat(22)
- Ustabulut, Mete Yusuf(22)
- Uçurum, Metin(22)
- Akeren, Zahide(21)
- Dirican, Ebubekir(21)
- Kara, Yakup(21)
- Abdioglu, Murat(20)
Yayınlar
- MakaleAçık Erişim2025Scopus SJRQ3Examining the Criteria Affecting Corporate Social Responsibility in Businesses from the Consumer Perspective Using the Pythagorean Fuzzy Entropy Technique; [İşletmelerde Kurumsal Sosyal Sorumluluğu Etkileyen Kriterlerin Pisagor Bulanık Entropi Tekniğiyle Tüketici Perspektifinden İncelenmesi]
Keskin, Abdulkadir; Kiraçli-Leblebicioğlu, Nilüfer; Keskin, Abdurrahman; Leblebicioğlu, Burak
Corporate social responsibility (CSR) serves as a self-regulation mechanism for businesses and a framework for consumers to evaluate companies. Carroll's (1991) CSR pyramid categorises these responsibilities, which can differ depending on cultural and economic contexts. This study examines Corporate Social Responsibility (CSR) in the context of Carroll's pyramid from the perspective of Turkish consumers, based on expert interviews analysed using the “Pythagorean Fuzzy Entropy” method. The results reveal that Turkish consumers prioritise businesses' “economic” responsibilities the most, followed by “philanthropic” responsibilities. “Ethical” responsibilities are ranked slightly lower, with “legal” responsibilities considered the least important in this context.
AtıfScopus1OpenAlex2TR Dizin1
İncele - MakaleAçık Erişim2025Scopus SJRQ2Determining errors in force measurements for colloids close to contact
Yücel, Harun
Due to diffraction patterns in light microscopy, the overlapping of colloid images introduces minor errors in determining particle positions, which affecting the accuracy of observing interactions between colloids near contact. This study quantitatively investigates the errors arising from the overlapping effect in force measurements between two closely positioned colloids using digital video microscopy (DVM). For this aim, computer simulations were conducted to obtain the positions of two optically trapped colloids interacting based on a force model and particle images were generated as a time series using experimental particle intensity profiles for two different particle sizes. These generated images were analyzed using tracking algorithms from the literature and the interaction forces were extracted and compared with theoretical force values. The results demonstrated that diffraction patterns significantly influence the accuracy of particle position detection and interaction force calculations. Large diffraction patterns and intensity fluctuations in an image introduce significant errors. However, these errors can become significantly smaller in the presence of large forces and may therefore be considered negligible.
- MakaleAçık Erişim2025Scopus SJRQ2The Effect of Health Literacy Level of Caregivers of Individuals With Diabetes on Care Activities and Supportive Behaviours
Semerci Çakmak, Vahide; Akeren, Zahide; Sönmez Sarı, Ebru; Kalyoncuo, Servet
Background: To determine the effect of the health literacy levels of caregivers of individuals with T2DM on caregiving activities and supportive behaviours. Methods: Cross sectional study. The sample for the study comprised of people who provided care for 442 individuals who were diagnosed with diabetes. The data were collected using the Personal Information Form, HLS-14 and D-CASS. Descriptive statistics, Independent samples t test, One-Way ANOVA and multiple linear regression analysis were used to analyse the data. Results: According to the results of the multiple linear regression analysis, the model was found to be statistically significant, and the variables that were incorporated into the model were able to explain 68.1% of the variance. Among the variables included in the model, HLS-14, educational status, employment status, income status and diabetes-related education were found to affect the care activities and supportive behaviours of caregivers of individuals with diabetes. Conclusion: In the research, it was determined that care activities and supportive behaviours were higher in those with higher levels of HL, higher levels of education, those who were not employed, those with higher income levels, and those who received education about diabetes. Nurses should develop training programmes to increase the HL levels of caregivers.
AtıfScopus2WoS2OpenAlex3
İncele - MakaleAçık Erişim2025Scopus SJRQ1Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study
Akeren, Zahide; Apaydın, Emine
Aim: Identifying the risks of metabolic syndrome (MetS) can lead to early targeted interventions and thus contribute to improved quality of life by reducing the risk of developing MetS, diabetes or heart disease in the future. We aimed to develop a valid and reliable measurement tool to measure the MetS risk of the population. Materials and methods: In the methodological study, an item pool was created by reviewing the literature. Pre-application was performed after the weighting of the items whose content validity was ensured by taking expert opinions. Data were collected from 43 patients with MetS from a state hospital affiliated to the Ministry of Health and 405 individuals without MetS from the community, from a total of 448 individuals using the Individual Information Form, Finnish Diabetes Risk Scale (FINDRISC) and Metabolic Syndrome Index (MSI). The data obtained were evaluated using SPSS 22.0 and MedCalc 19.1 statistical programmes. Scale discrimination was analyzed by independent samples t-test between the upper and lower 27% groups. The cut-off point of the scale score in predicting the diagnosis of MetS was tested by ROC analysis. Correlation analysis was performed with the parallel form for criterion validity. Results: As a result of the ROC analysis, a perfectly compatible scale with a sensitivity of 100%, a specificity of 85.43% and a cut-off score of 48 was obtained. When the correlation analyses between MSI and FINDRISC scores were examined for criterion validity, a positive moderate (r = 0.632, p < 0.001) correlation was found between FINDRISC and MSI. When the discrimination of the scale was analysed, it was found that there was a significant difference between the lower 27% and upper 27% groups (p < 0.05) and it was revealed that the MSI made sensitive measurements to discriminate. Conclusions: The MSI scale is a valid and reliable tool for early detection of MetS risk.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2Detailed investigation of the spectroscopic features of nicardipine hydrochloride using experimental and quantum chemical methods
Can, Sumeyra; Cinar, Mehmet; Baris, Ozlem
Context: The structural and spectroscopic properties of drug groups can be determined using spectroscopic techniques and quantum chemical calculations. In this study, the structural and spectroscopic properties of nicardipine, a potent calcium channel blocker belonging to the dihydropyridine drug group, were investigated. For this purpose, FT-IR, Raman, NMR, and UV–Vis spectra of nicardipine hydrochloride were recorded. The ground state geometry optimization performed under vacuum conditions showed excellent agreement with X-ray diffraction (XRD) data, with root-mean-square deviations of bond lengths and bond angles calculated as 0.017 Å and 2.2°, respectively. Vibrational spectrum analysis revealed all characteristic modes, and theoretical B3LYP predictions largely agreed with experimental data. NMR spectra recorded in chloroform solvent confirmed the molecular structure of nicardipine. A comparison with previously reported data revealed significant differences in the proton NMR results, while the carbon NMR data showed consistency. The gauge-invariant atomic orbital (GIAO) method, commonly used for NMR spectrum prediction, yielded results within an acceptable error range despite minor inconsistencies arising from differences between experimental and computational conditions. In the UV–Vis spectrum of nicardipine HCl, an absorption peak corresponding to π-π* excitation was observed at 238 nm. Method: The geometric optimizations and vibration spectra of the nicardipine drug molecule were performed using the Gaussian 09 program with the B3LYP functional and the 6–311 + + G(d,p) basis set. Visualizations were performed using the GaussView 5.0 interface program. NMR spectra were recorded in chloroform solvent using the GIAO method. Molecular electrostatic potential (MEP) maps and Mulliken atomic charges were analyzed to gain deeper insight into the electronic properties.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2025Scopus SJRQ2Investigation of the Effects of Filling Speed, Casting Temperature and Metallurgical Quality on Fluidity of Lamellar Graphite Cast Iron at Different Section Thicknesses
Köse, Sami; Çolak, Murat; Şüküroğlu, Ebru Emine
In this study, the fluidity properties of the alloy were investigated at different casting temperatures, different section thicknesses, and varying casting parameters of lamellar graphite cast iron materials. To achieve our goal, we utilized sand molds that were created with specific parameters including pouring temperature, metallurgical quality, section thickness, and fluidity test model. These molds were used for casting. Thus, the effect of fluidity properties in changing casting conditions and liquid metal advance distances at determined section thicknesses was investigated. Modeling was carried out with FlowCast casting simulation software by determining the liquid metal advance distance depending on the section thickness in the castings made in sand molds under changing casting conditions. The fluidity and advance distance of the liquid metal was determined comparatively with experimental and modeling techniques under the changing casting conditions in the parameters determined in this study. When the outcomes were examined; it was observed that different liquid metal advance distances occur at different cross-section thicknesses depending on the changing conditions.
AtıfScopus8WoS8OpenAlex7İncele - 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 - MakaleAçık Erişim2025Scopus SJRQ1Teacher Candidates with Biospheric Value, Farming and Openness Personality Type are Worried About Climate Change
Ulum, Ömer Gökhan; Alkış Küçükaydın, Menşure
Climate change is one of the most widespread problems affecting human well-being. Extreme weather events and ecosystem uncertainties also seriously threaten future teachers. However, we know little about the variables associated with teacher candidates’ climate change worry (CCW). Therefore, this study aims to identify the variables that predict CCW. In this study, the survey model was used to determine the variables associated with teacher candidates CCW. A total of 508 teacher candidates (72.4% female and 27.6% male) from Turkey participated in the study. The age range of the teacher candidates was 21 to 24 (M = 21.1, SD = 1.23). Hierarchical regression analysis was used to evaluate the data. According to the results, teacher candidates who earn their living by farming and have a biospheric value orientation experience CCW. Some personality traits also relate to CCW. The results provided insight into the variables related to teacher candidates’ CCW. This situation is important for the support training for teacher candidates.
- MakaleAçık Erişim2025Scopus SJRQ1Design, synthesis, and inhibition of α-glucosidase by novel L-phenylalanine-derived hydrazones: Kinetic, molecular docking, and dynamics studies
Kalay, Erbay; Adem, Şevki; Demir, Yeliz; Aslan, Osman Nuri; Şahin, Engin; Eyupoglu, Volkan; Rawat, Ravi; Çomaklı, Veysel
In this paper, a series of novel hydrazones derived from L-phenyl alanine were synthesized in four steps and employed to inhibit α-glucosidase through kinetic studies, molecular docking, and molecular dynamics analyses. Among the synthesized compounds, 8, 15, and 16 exhibited the strongest inhibitory effects, with IC50 values of 31.08 μM, 24.15 μM, and 19.47 μM, respectively, surpassing the standard inhibitor acarbose (79.63 μM). Molecular docking studies revealed robust interactions, with compound 16 achieving the highest MolDock score of −176.316. Molecular dynamics simulations were conducted to evaluate the binding affinity of compound 16 to the isomaltase enzyme from Saccharomyces cerevisiae (3A4A). The most favorable docking pose was subjected to further analysis through MD simulations under dynamic conditions. The MMGBSA analysis of the simulation cluster indicated a strong binding affinity of approximately −43.06 kcal/mol, highlighting the compound's potential for modulating α-glucosidase activity. These results underscore the potential of bromine and hydroxyl-substituted hydrazones to modulate isomaltase activity, with therapeutic implications for hyperglycemia and obesity management.
AtıfScopus12WoS12OpenAlex16İncele - 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 - MakaleAçık Erişim2025Scopus SJRQ2Validity challenge in GenAI models: Evaluating the validity of content generated by text-to-image models in the context of social studies education
Yetişensoy, Okan
Generative artificial intelligence (GenAI) models have led to many positive changes in educational settings; however, the validity of the content they produce remains a significant topic of academic discussion. This research aims to determine the validity of content produced by text-to-image models within the context of social studies education. For this purpose, different curricular outcomes from the social studies curriculum implemented in Türkiye were identified, and image content related to them was generated using DALL-E 3. The validity of this content was assessed within a panel consisting of social studies teachers. Quantitative analyses revealed inconsistencies, showing that some images are sufficient in terms of scientific accuracy as well as socio-cultural and geographical relevance, while others are not. Intraclass correlation coefficient analyses demonstrated that there was significantly moderate agreement among the panelists regarding these evaluations, indicating that the assessments are reliable. Qualitative analysis, on the other hand, revealed that panelists evaluated some images positively in terms of validity, noting that the content produced by these models has significant potential to enhance the learning of relevant outcomes of social studies. However, it was indicated that certain images exhibit prominent algorithmic biases, provide misleading or incorrect information, include details that could be characterized as hallucinations, and could potentially negatively impact the learning process. Additionally, it was determined that some images, in an attempt to highlight a particular cultural element, displays representations that are either disconnected from reality or overemphasized, which could be termed “Socio-cultural algorithmic exaggerations”. At this point, it is considered essential for all educators, including social studies teachers, to develop a critical perspective on the content created by GenAI models and to use this content only after thorough evaluation.
AtıfScopus3OpenAlex3İncele - 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 - MakaleAçık Erişim2025Scopus SJRQ1Physicochemical characterization of glucan AK7 produced by quinoa sourdough isolate Leuconostoc mesenteroides AK7
İspirli, Hümeyra; Arslan, Şeyma; Tuncer, Fatma; Kasapoglu, Muhammed Z.; Ortakcı, Fatih; Tuncil, Yunus Emre; Dertli, Enes
The production of exopolysaccharides (EPS) by Lactic Acid Bacteria (LAB) is technologically crucial because it has a wide range of applications in food technology, biotechnology, and health. In the present work, a new quinoa sourdough isolate of Leuconostoc mesenteroides strain AK7 was identified as a novel producer of a dextran-type EPS. The monomeric units of EPS AK7 were confirmed by HPLC analysis, while NMR spectroscopy and GC–MS linkage analysis further verified the EPS structure as a branched dextran containing mainly (1 → 6)-linked α- D -glucose units with (1 → 3,6)-linked α- D -glucose unit as branching points. An average molecular weight of 1.2 × 106 Da was detected for glucan AK7. FTIR analysis was applied to determine the functional units of dextran AK7. In terms of thermal features, TGA and DSC analysis were applied and a specific degradation temperature of 300 °C was found for dextran AK7. The morphology of the lyophilized EPS displayed a rough, dense, and porous structure, as observed through SEM analysis. Dextran AK7 revealed a semi-crystalline nature detected by XRD analysis. These structural and functional properties of dextran AK7 produced by Leuconostoc mesenteroides AK7 from quinoa sourdough suggest its potential usage for food industry applications.
AtıfScopus3WoS3OpenAlex3İncele - MakaleAçık Erişim2025Scopus SJRQ4Effects of Different Plyometric Training on Some Biomotor and Taekwondo Technical Performance in Taekwondo Athletes; [Farkli Pliometrik Antrenmanların Taekwondo Sporcularında Bazı Biyomotor ve Taekwondo Teknik Performansına Etkisi]
Kul, Murat; Aydemir, Burakhan
The aim of this study is to examine the effects of different plyometric training methods on the biomotor and taekwondo technical performance of 14-16-year-old taekwondo athletes. The study utilized two different training methods: plyometric exercises on sand and plyometric exercises on taekwondo mats, with a control group performing only regular taekwondo training. The study included 66 athletes, all with at least 5 years of taekwondo experience, from Trabzon, Turkey, in 2024. Participants were divided into two experimental groups: Group 1, performing plyometric exercises on sand, and Group 2, performing plyometric exercises on taekwondo mats. After an 8-week training program, biomotor and technical performance tests were applied to all groups for comparison. The data were tested for normal distribution using the Kolmogorov-Smirnov test, and since the data did not show normal distribution, non-parametric tests were used for analysis. Wilcoxon tests were applied for within-group comparisons, while Kruskal-Wallis tests were used for between-group comparisons. In cases where significant differences were found, Post hoc multiple comparison tests with Bonferroni correction were used to identify which groups showed the differences. The results showed that all groups demonstrated significant improvements in biomotor and technical performance parameters after the training programs. Group 1, the sand-based plyometric training group, showed more pronounced improvements in speed, agility, jump, balance, and technical performance parameters. The findings suggest that sand-based plyometric training has a significant impact on sports requiring speed, power, endurance, and technical skills, such as taekwondo.
AtıfScopus2WoS2İncele - MakaleAçık Erişim2025Scopus SJRQ1Cognitive bridges from digital reading to writing: Investigating the mediating role of reading disposition
Banaz, Emrullah
This correlational study explores how digital reading disposition functions as a cognitive bridge between pre-service teachers' digital reading self-efficacy and their attitude with digital writing practices. The data were collected from 410 conveniently selected pre-service teachers using the Digital Reading Self-Efficacy Scale, the Digital Reading Disposition Scale, and the Digital Writing Attitude Scale. The results revealed moderate to strong correlations between digital reading self-efficacy, digital reading disposition, and digital writing attitudes. Moreover, digital reading disposition was found to mediate the relation between digital reading self-efficacy and digital writing attitudes. Overall, our findings underscore the significance of digital reading disposition in shaping both the potential of digital reading self-efficacy and the processes involved in digital writing among pre-service teachers. Pedagogical strategies that enhance digital reading self-efficacy and motivation to attitude with digital texts may contribute to the development of more effective digital writing skills among pre-service teachers.
AtıfScopus2WoS1OpenAlex2İncele - MakaleAçık Erişim2025Scopus SJRQ2The effect of training given to patients who underwent ureteroscopy with double-J stent placement on anxiety before and after surgery and readiness for discharge
Toraman, Muazzez Merve; Gürçayır, Dilek
Patient education is effective in reducing the level of anxiety before and after surgery and increasing the level of readiness for discharge. Patient education provided by nurses can be planned and applied individually. Therefore, this study aims to determine the effect of the education in whom a double J stent after ureteroscopy on their pre- and postoperative anxiety and levels of readiness for discharge. This research study is a randomized controlled trial with control and intervention groups, pre- and posttests. This study was conducted between November 2021 and May 2022 in a university hospital in Turkey. The patients were divided at random into two groups, control (n = 61) and intervention (n = 61). The Personal Information Form, State-Trait Anxiety Inventory (STAI-I, STAI-II), Surgery-Specific Anxiety Scale (SSAS), Readiness for Hospital Discharge Scale for Adult Patients-Short Form (RHDS/SF) and Readiness for Hospital Discharge Scale- Adult-Nurse Assesment Short Form (RN-RHDS/SF) were used to collect the data. The mean SSAS and STAI-I scores on the morning of surgery and before discharge were found to be significantly lower in the intervention group than the control group. The mean RHDS/SF and RN-RHDS/SF scores on the before discharge were found to be significantly higher in the intervention group than the control group. It was concluded that the education provided to the patients in whom a double J stent after ureteroscopy reduced pre- and postoperative anxiety and increased the level of readiness for discharge.
AtıfScopus5WoS3OpenAlex6İncele - 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 - MakaleAçık Erişim2025Scopus SJRQ2Contact mechanics of functionally graded orthotropic layer under normal traction and gravity: an analytical perspective
Öner, Erdal; Al-Qado, Ahmed Wasfi Hasan
Contact mechanics is a complex and advanced field of engineering, with continuous research dedicated to modeling and examining contact problems in multilayered and multibody systems. Given that fatigue and fracture failures often result from contact loads, precise determination of subsurface stresses is crucial for the design of mechanical components. This study provides an exact analytical solution for the frictionless indentation of a functionally graded (FG) orthotropic layer by a rigid cylindrical punch. The FG orthotropic layer, which rests on a rigid, non-adhesive substrate, is treated as a nonhomogeneous medium with an orthotropic stress–strain relationship. Part of its top surface experiences normal tractions, while the rest remains traction-free. The analysis also incorporates the gravitational force affecting the FG orthotropic layer. Five distinct real orthotropic materials are used, each with individually graded stiffness constants in their principal directions, to define the FG orthotropic behavior of the material. The governing equations are formulated using the singular integral equation method and transformed into algebraic systems via the Gauss–Chebyshev integration technique. A comprehensive parametric study examines how variations in dimensionless punch radius, compressive force, inhomogeneity parameters, and body force influence contact widths, contact pressures, normal and shear stresses, critical load factor, and the initial point of interface separation.
AtıfScopus9WoS9İncele - MakaleAçık Erişim2025Scopus SJRQ2ChatGPT-Delivered Physical Activity Intervention for Children With Autism Spectrum Disorder: Pre-Post Feasibility Study
Aydemir, Uğur
Background: The use of digital technologies, such as mobile apps, Zoom (Zoom Communications), virtual reality, and video games, to promote physical activity in individuals with autism spectrum disorder (ASD) has been increasing. However, there are no studies using ChatGPT (OpenAI), a popular tool in recent years, for promoting physical activity in children with ASD. Objective: This study aimed to evaluate the feasibility and potential effectiveness of ChatGPT-delivered physical activity interventions in children with ASD. Methods: A total of 26 families (parent-child dyads) participated in the study. Families were randomly assigned to an application group (n=13) and a control group (n=13). In the application group, parents implemented physical activities recommended by ChatGPT for their children with ASD. Data were collected using the Leisure Time Exercise Questionnaire (LTEQ) and a feasibility questionnaire. Results: Parents reported that ChatGPT-delivered physical activities were a feasible intervention to increase physical activity levels in children with ASD. They also found the activity content suggested by ChatGPT to be interesting and useful. LTEQ measurements corroborated these findings, showing a significant increase in the physical activity levels of children in the intervention group after the intervention. Conclusions: The results suggest that ChatGPT-delivered physical activities could be a promising intervention to enhance physical activity in children with ASD. Further investigation is warranted.
AtıfScopus16WoS14OpenAlex21İncele