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- 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.
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İncele - 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 künye2026Scopus SJRQ2Valorization of pickled cabbage waste as a novel pectin source: Optimization, characterization
Erten, Tayyibe; Cebeci Aydın, Fatma
Recovery of food ingredients from agro-industrial by-products has become increasingly essential for sustainable food production through energy saving and lessening the carbon footprint. Pickled white cabbage production generates high amounts of pickled cabbage waste that contain valuable goods such as pectin. This study aimed to evaluate the valorization of pectin from pickled cabbage waste by comparing the conventional (CE) and ultrasound-assisted extraction (UAE). The UAE provided 2.14 times higher pectin yield (30.32%) compared to CE (14.14%) while reducing energy consumption and carbon dioxide emission (~ 7 times lower). Pectins obtained from conventional extraction (CEP) and ultrasound-assisted extraction (UEP) had high amounts of galacturonic acid (85.06 ± 1.76%, 87.95 ± 6.99%, respectively) and low degree of esterification (17.08 ± 1.14%, 14.71 ± 0.00%). The monosaccharide compositions of pectin were similar for CEP and UEP, comprising of galacturonic acid, glucose, arabinose, rhamnose and xylose. FT-IR, NMR and SEM confirmed the structural characteristics of pectins, and the effect of ultrasonication. Furthermore, UEP presented superior technological characteristics including water holding capacity (5.29 ± 0.38 g water/g pectin), oil holding capacity (1.58 ± 0.11 g oil/g pectin), emulsion activity (43.61 ± 1.12%) and emulsion stability compared to CEP. These findings show that pickled cabbage waste is a valuable source of low-methoxyl pectins and UAE is a promising extraction method for obtaining high amount of pectin along with reduced processing time and energy consumption. The UAE method using of citric acid instead of hazardous acids also offers environment-friendly method for pectin extraction.
AtıfScopus1WoS1OpenAlex1İncele - Derleme MakaleAçık Erişim2025Scopus SJRQ1Effects of plant-derived antioxidants to the oxidative stability of edible oils under thermal and storage conditions: Benefits, challenges and sustainable solutions
Yildiz, Aysun Yurdunuseven; Öztekin, Sebahat; Anaya, Katya
The stability of edible oils significantly influences their quality, safety, and shelf life. While synthetic antioxidants have traditionally been used, the growing consumer interest in food safety and sustainability has shifted focus towards natural alternatives. Plant-derived antioxidants offer a promising solution, enhancing oxidative stability while meeting clean-label demands. This review examines recent advancements in using plant-derived antioxidants, such as extracts, essential oils, and agro-industrial by-products, to inhibit lipid peroxidation and improve edible oils' oxidative and thermal stability. Natural antioxidants from peels, seeds, spices, fruits, and vegetables effectively reduce hydrolysis, polymerization, and secondary oxidation products. Despite their potential, challenges remain, including impacts on sensory attributes, regulatory compliance, and the need for standardized extraction and application protocols. Addressing these limitations can advance sustainable food preservation and encourage the integration of natural antioxidants in the food industry, contributing to a more sustainable economy and shelf life.
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İncele - MakaleAçık Erişim2026Scopus SJRQ1Parents’ perspectives on the use of artificial intelligence chatbots to promote physical activity among individuals with autism spectrum disorder
Yarımkaya, Erkan; Aydemir, Uğur
Purpose: Advances in artificial intelligence (AI) have led to the increasing use of chatbots to promote physical activity (PA) through personalised guidance and interactive feedback. However, little is known about how AI chatbots can support parents of individuals with autism spectrum disorder (ASD) in promoting home-based PA. Understanding parents’ perspectives on the use of AI chatbots to promote PA may be critical for designing practical guidance and interventions for individuals with ASD. Therefore, the present study aimed to examine parents’ perspectives on the use of AI chatbots to promote PA among individuals with ASD using the Theory of Planned Behaviour (TpB). Method: Participants in this descriptive qualitative study were 16 parents (13 females and 3 males) who participated in one-on-one semi-structured interviews. The interviews were transcribed for analysis and later analysed using thematic line-by-line analysis. Results: The findings revealed that parents had positive attitudes towards the use of AI chatbots to promote PA among individuals with ASD. According to parents, AI chatbots were useful for learning new information about PA and increasing PA levels among individuals with ASD. On the other hand, parents stated that AI chatbots did not provide much detail about some PAs and that they did not understand some PA terms. Therefore, parents stated that they repeatedly gave AI chatbots commands/prompts for each PA and often needed expert support. Conclusions: Results indicated a need for guidance to parents on the use of AI chatbots to promote PA among individuals with ASD.
- 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 - MakaleAçık Erişim2026Scopus SJRQ2Eccentric Isokinetic Rehabilitation for Chronic Lateral Epicondylitis in Female Swimmers: A Randomized Controlled Trial of Bilateral Neuromuscular Adaptations and Functional Performance
Dhahbi, Wissem; Ghouili, Hatem; Ceylan, Halil İbrahim; Adhadhi, Nessrine; Bchini, Souhail; Bessifi, Manel; Ceylan, Nagihan Burçak; Stefanica, Valentina; Ouerghi, Nejmeddine; Hammami, Nadhir
Background and Objectives: This study investigated the efficacy of eccentric isokinetic muscle strengthening versus passive motion protocols on neuromuscular function and performance capacity in female swimmers with chronic lateral epicondylitis. Materials and Methods: Twenty-five swimmers (age 46.1 ± 3.1 years) with lateral epicondylitis exceeding three months’ duration completed a randomized controlled trial comparing eccentric training in Controlled Active Motion mode (experimental group (EG), n = 13) against passive motion in Continuous Passive Motion mode (control group (CG), n = 12). Both groups performed 18 supervised sessions over six weeks (60°/s angular velocity, progressive loading 1–12 sets × 5 repetitions). Bilateral concentric peak torque of elbow extensors and flexors constituted the primary outcomes. Secondary measures included push-up performance, explosive power assessed by the Seated Medicine Ball Chest Push Test, and goniometric range of motion. Linear mixed-effects models and analysis of covariance with baseline adjustment were employed. Results: Eccentric training produced side-specific strength adaptations in elbow flexors (confirmed interaction: F1,23 = 8.56, p = 0.008, ηp2 = 0.271), with the experimental group demonstrating balanced bilateral gains, whereas the control group exhibited asymmetric responses favoring the non-dominant limb. EG demonstrated superior functional gains: push-up repetitions increased 4.15 ± 1.77 versus 2.17 ± 1.27 in CG (adjusted difference = 3.21 repetitions, 95% CI [1.52, 4.90], p = 0.001, d = 1.31), while explosive power improved 0.32 ± 0.09 m versus 0.10 ± 0.06 m (adjusted difference = 0.35 m, 95% CI [0.25, 0.45], p < 0.001, d = 1.20). Range of motion remained unchanged across groups (all p > 0.65). Conclusions: Eccentric isokinetic strengthening confers substantial advantages over passive motion protocols for restoring upper-body muscular endurance and ballistic force production in swimmers with lateral epicondylitis, supporting its integration into rehabilitation frameworks for the management of tendinopathy.
AtıfScopus2WoS1OpenAlex4İncele - 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 Erişim2026Scopus SJRQ1A novel passive cooling configuration for photovoltaic panels based on bio-inspired heatsinks and nanoparticle-enhanced PCM
Cuce, Erdem; Cuce, Pinar Mert; Guclu, Tamer
This study presents the design, fabrication, and experimental evaluation of a novel passive thermal management system for photovoltaic (PV) modules that integrates a bio-inspired aluminium heatsink with a nanoparticle-doped phase change material (PCM). The proposed configuration aims to regulate the temperature of the PV module under real outdoor conditions without any external energy input. The bio-inspired heatsink was designed based on coral-like branching geometry to enhance natural convection and heat distribution within the PCM. The PCM, doped with metal-oxide nanoparticles (Al2O3, SiO2, TiO2) at a 2% mass fraction, provided additional latent-heat storage capacity and improved thermal conductivity. Experimental tests were conducted using two identical monocrystalline PV panels. The results demonstrated that the bio-inspired-cooled PV module effectively reduced surface temperature fluctuations by 8–15 °C and achieved a maximum efficiency improvement of 9.2% compared to the uncooled configuration. The integration of the PCM layer with the bio-inspired heatsink maintained a more stable operating temperature throughout the day, particularly during high-irradiance conditions. Hourly I-V and P-V analyses confirmed that the hybrid module consistently exhibited higher maximum power and efficiency values. Furthermore, the estimated energy yield analysis revealed that the average efficiency gain of 5.6% achieved under outdoor conditions could lead to a substantial increase in annual energy production. Overall, the hybrid bio-inspired fins + PCM system offers a sustainable, self-regulating, and energy-free cooling solution that enhances both the performance and durability of PV modules.
AtıfScopus8WoS7OpenAlex11İncele - MakaleAçık Erişim2026Scopus SJRQ1Characterization of Highly Branched Dextran VB113 Produced by Leuconostoc mesenteroides VB113 as Traditional Pickle Isolate
İspirli, Hümeyra; Kavak, Akif Emre; Dertli, Enes
Lactic Acid Bacteria (LAB) from traditional fermented foods serve as a promising source of novel exopolysaccharides (EPSs) with desirable techno-functional properties. In this study, the EPS production ability of LAB strains from traditional pickles was tested and a strong slimy isolate grown in a sucrose-rich environment was further selected. The isolate was identified as Leuconostoc mesenteroides VB113 and its EPS production characteristics were determined. HPLC analysis revealed that glucose was the only monomer in the EPS repeating structure, whereas 1H and 13C NMR spectroscopy analysis demonstrated a branched dextran structure with 20% (1 → 3)-linked α-D-glucose units. Dextran VB113 showed a molecular weight of 2.4 × 106 Da tested by GPC analysis. The functional groups within dextran VB113 were determined by FTIR analysis, and XRD analysis demonstrated its amorphous physical status. TGA and DSC analysis were applied for thermal characterization and a degradation temperature of 272.25 °C was observed for dextran VB113, suggesting its high thermal resistance. The micro-structural features of dextran VB113 were tested by SEM and AFM analysis that revealed spherical and fibrillary properties, respectively. These findings revealed the importance of testing different niches to obtain novel EPS-producing LAB strains that can be further evaluated to enhance the techno-functional properties of food systems. The branched nature of dextran VB113, together with its molecular weight and thermal characteristics, offers practical advantages for its potential usage as a thermal-stable thickening agent, emulsion stabilizer, and fat replacer in high-temperature food processing applications, such as bakery products, processed dairy, and plant-based meat analogs.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2Weathering effects on pendulum hardness, and pull-off adhesion testing of water-based varnish on thermally treated iroko wood
Ulay, Göksel; Akter, Mete; Çakıcıer, Nevzat; Ayata, Ümit
This study evaluated the effects of different weathering durations (168, 336, and 504 h) on surface hardness and adhesion strength of both heat-treated (1.5 h at 190 °C and 2 h at 212 °C) and untreated iroko (Chlorophora excelsa) wood surfaces after application of water-based varnish (WBV). Pendulum hardness (s) and pull-off adhesion (MPa) tests were performed after weathering. According to the results, in the untreated control group, hardness increased from 30 s to 45 s after 504 h of weathering, showing a 48% increase. In the samples treated at 190 °C, hardness increased from 25 s to 41 s after 504 h, showing a 61% increase. The highest increase was observed in the samples treated at 212 °C. Here, the hardness increased from 23 s to 44 s, representing a 91% increase after 504 h of weathering. The highest initial surface adhesion strength (5.30 MPa) was obtained in the unheated samples; however, this value decreased significantly after weathering. Although the initial adhesion strength was lower in the heat-treated samples, those treated at 212 °C for 2 h exhibited more stable weathering performance. The results show that the acceleration of weathering and the application of heat significantly affect the effectiveness of the varnish coating.
- Derleme MakaleAçık Erişim2026Scopus SJRQ2From Technology Adoption to Organizational Governance: Mapping the Intellectual Structure and Shifting Paradigms of AI Governance in Educational Leadership
Kayalı, Bünyami; Yavuz, Mehmet; Bozkurt, Aras
This study maps the intellectual structure and thematic evolution of the intersection between artificial intelligence (AI) and educational leadership in related literature. Employing a hybrid research design that integrates bibliometric analysis with Latent Dirichlet Allocation (LDA)-based topic modeling, we examined 757 unique records retrieved from the Web of Science and Scopus databases for the period 2017–2026. Through computational optimization, the corpus was delineated into six emerging research themes that dictate the field’s shifting paradigms: “Digital Leadership & Transformation,” “Teaching & Student Learning,” “AI Acceptance & Self-Efficacy,” “Data Management & Machine Learning,” “School Leadership & Principals,” and “Technical & Computational Fields.” While “Digital Leadership & Transformation” dominates over half of the literature, a sharp proportional decline in “School Leadership & Principals” uncovers a critical structural imbalance between abstract institutional transformation discourse and the actual human agents executing it. Furthermore, a severe underrepresentation of technical, governance, and transparency themes exposes a critical “opaque box” crisis of institutional agency. The study concludes that the field remains theoretically fragmented and calls for an integrated socio-technical framework reconciling leadership governance with the complex realities of AI systems.
- MakaleAçık Erişim2026Scopus SJRQ1Differential Time-of-Day Effects of Caffeine Capsule and Mouth Rinse on Physical Performance and Volleyball-Specific Skills in Adolescent Male Volleyball Players
Amor, Salma Belhaj; Dhahbi, Wissem; Souaifi, Marouen; Ceylan, Halil İbrahim; Padulo, Johnny; Vando, Stefano; Ceylan, Nagihan Burçak; Muntean, Raul Ioan; Souissi, Nizar
Objective: This study compared the acute effects of caffeine capsule ingestion and caffeine mouth rinsing on physical performance and volleyball-specific skills at different times of day in trained adolescent male volleyball players. Methods: Twenty-four well-trained male volleyball players (age: 16.9 ± 0.7 years) completed a randomized, double-blind, placebo-controlled crossover study involving three supplementation conditions, caffeine capsule (CAFcap, 3 mg·kg−1), caffeine mouth rinse (CAFrinse, 3 mg·kg−1), and placebo (PLA), administered via a double-dummy procedure (nine sessions per participant: 3 conditions × 3 times of day) at 08:00, 12:00, and 18:00. Participants completed squat jump (SJ), countermovement jump (CMJ), block jump, attack jump, 10 × 10 m t-test, spike accuracy, and serve accuracy assessments. Data were analyzed using two-way repeated-measures ANOVA. Results: Significant main effects of condition and time of day were observed for all outcomes. Significant condition × time-of-day interactions were found for SJ, CMJ, attack jump, and change-of-direction speed, indicating that caffeine-related ergogenic effects were most evident in the morning and at midday, whereas these benefits were attenuated in the evening when baseline performance was highest. At 08:00 and 12:00, both CAFcap and CAFrinse improved jump performance and agility compared with PLA, with capsule ingestion showing a small-to-moderate advantage over mouth rinsing for selected lower-limb power outcomes at midday (mean difference range: 0.51–0.57 cm; dz = 0.57–0.65). For block jump, spike accuracy, and serve accuracy, both caffeine conditions improved performance relative to placebo, while a progressive improvement across the day was observed under all conditions, including placebo, confirming a diurnal rhythm effect independent of supplementation. Overall, the data indicate that caffeine partially reduced the amplitude of diurnal variation in several physical performance measures. Conclusions: Both caffeine capsule ingestion and caffeine mouth rinsing enhanced physical and volleyball-specific performance in trained adolescent male volleyball players. The ergogenic effects were more pronounced earlier in the day, suggesting that caffeine may be particularly useful for attenuating morning and midday performance decrements, while mouth rinsing represents a practical non-ingestive alternative with meaningful efficacy.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Perceptions of Electoral Trustworthiness in Turkey a Qualitative Study Based on Political Party Representatives
Kan, Muhammed Enes; Bilgili, Murat Saltuk
Electoral trustworthiness -the safeguarding of electoral processes from distortions, violations, and manipulations- is fundamental to democratic integrity. In emerging democracies such as Turkey, political parties are key actors, shaping and monitoring elections while gaining experience across pre-election, election day, and post-election stages. This study examines political parties’ perceptions of electoral trustworthiness in Turkey through a qualitative provincial case study situated within the Turkish context using semi-structured interviews with provincial, district, and vice-chairs from various parties in a selected province. Data were analyzed via content analysis. Findings suggest that, within the studied province, pre-election concerns involve campaign irregularities, voter pressure, and legislative gaps; election day issues include voter intimidation, limited polling station oversight -especially in rural areas- and challenges for opposition parties in appointing officials and observers; post-election concerns relate to transparency and impartiality of electoral bodies, lack of judicial review over Supreme Election Council decisions, and procedural flaws. These point to an urgent need for reforms and stronger oversight. © The Author(s) 2026. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- 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 - Derleme MakaleAçık Erişim2026Scopus SJRQ1The role of biotics and bioactive compounds in sports injuries: a narrative review
Şahin-Demirci, Kezban; Dal, Nursel; Gönen-Çolak, Buket; Akman, Onur; Raposa, Bence; Ağagündüz, Duygu
Sports injuries affect not just the physical, but also the psychological, social, and professional aspects of athletes’ lives. Preventive strategies, nutrition, and nutritional supplements—especially biotics and bioactive compounds—are crucial for recovery and may help prevent injury recurrence. This review examines biotics and bioactive compounds that may be effective on sports injuries, revealing their potential benefits and safety of use. Using a comparative and interpretive approach, the pertinent literature was thoroughly examined for this review, with a special focus on clinical and preclinical research conducted within the last 5 years. Bioactive compounds and biotics (prebiotics: indigestible substances that support beneficial bacteria; probiotics: live beneficial microorganisms; postbiotics: bioactive microbial metabolites) can improve sports-related injuries by affecting inflammation, mitochondrial function, biogenesis, oxidative stress, and atrophy. Biotics achieve these systemic effects by improving intestinal barrier function and modulating the microbiota. Current literature indicates that some compounds show promise for treating sports injuries, but human study evidence is limited. Animal models provide useful insights for future research. Finally, polyphenolic compounds, amino acids/peptides, and w-3 fatty acids, thanks to their anti-inflammatory and antioxidant properties, can indirectly contribute to muscle regeneration and cell repair, thus supporting the recovery process in athletes. However, it is still too early to make recommendations regarding the use of biotics and bioactive compounds in sports injuries.
- 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.
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