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
- MakaleYalnız künye2026Scopus SJRQ1Evening chronotype and highly processed food consumption: The mediating role of intuitive eating
Esgin, Özge; Ünal, G.
This study examined associations among chronotype, intuitive eating, and highly processed food (HPF) consumption and evaluated the mediating role of intuitive eating, with sex as a potential moderator. This cross-sectional study, conducted via an online survey in Türkiye from October 2025 to January 2026, included 610 adults. Participants completed the Morningness–Eveningness Questionnaire (MEQ), the Intuitive Eating Scale–2 (IES–2), and the Screening Questionnaire of HPF Consumption. The IES–2 comprises four dimensions: unconditional permission to eat (UPE), eating for physical rather than emotional reasons (EPR), reliance on hunger and satiety cues, and body-food choice congruence (B-FCC). Among participants, 20.3% had an evening chronotype, and 68% reported high HPF consumption. Eveningness was associated with higher UPE (β = 0.219, p = 0.002) and EPR (β = 0.148, p = 0.032) and lower B-FCC (β = −0.225, p = 0.002); however, a sex difference emerged only for EPR, with a weaker association in women (β = −0.155, p = 0.029). Lower MEQ scores were significantly associated with higher HPF consumption (β = −0.212, p < 0.001), with no significant sex differences. All analyses were adjusted for age and body mass index. Mediation analyses indicated that UPE (indirect effect: −0.013 for women; −0.022 for men) and B-FCC (−0.006 for women; −0.013 for men) had significant indirect effects linking chronotype to HPF consumption, with no moderating effect of sex. These findings suggest that intuitive eating mechanisms may partly explain the association between evening chronotype and higher HPF consumption.
- MakaleYalnız künye2026Scopus SJRQ2Frequency-Based Damage Detection with ANN and Seismic Behaviour Assessment of a Historical Masonry Tower
Demirtaş, Betül; Türker, Temel; Yanik, Yusuf; Dede, Tayfun
Nowadays, Artificial Neural Networks (ANNs) are widely used in damage detection because of their powerful computational and exceptional ability to recognize patterns in historical structures. This paper presents the seismic behaviour assessment and structural damage detection performance of the ANN trained with natural frequencies to identify the damage on the Hagia Sophia Bell Tower in Trabzon, Türkiye. Reduction in the stiffness of the structures causes changes in the structural dynamics. Natural frequencies, being key indicators in damage detection, were utilized as input parameters to train the ANN in this study. The study’s scope included updating of the initial finite element (FE) model constituted with SAP2000 software according to the experimental dynamic characteristics obtained from the Civil Engineering Vibration System developed by our work team. The seismic behaviour of the tower was also examined through time history analyses under the effect of strong earthquakes. The required data for the ANN analyses was obtained from the FE modal analysis of the tower. The ANNs dataset was generated separately by simulating both single and double damage scenarios. Possible twelve damage zones were determined according to the places where the highest stresses occurred in the earthquake analysis of the tower. The reduction in the elasticity modulus of each region defined on the tower was considered as damaging effect and used as ANN output parameter. It was shown that ANN trained with natural frequencies can effectively identify the location and severity of damage.
AtıfScopus6OpenAlex7
İncele - MakaleYalnız künye2026Scopus SJRQ1Reference-Invariant Permittivity Determination of Low-Loss Solid Dielectric Samples Using Spectral Free-Space Measurements Without Prior Thickness
Hasar, Ugur C.; Ali, Husain; Kaya, Yunus
An extraction method has been proposed for relative permittivity determination εrs of low-loss solid dielectric samples using free-space measurements. It relies on a reference-plane invariant expression with no thickness information a priori, making resistant to conventional free-space measurement errors which may arise from improper information of sample position and thickness. In addition, the method constructed by the state transition matrix (STM) uses closed-form expressions – a feature distinguishes our method from previous STM-based extraction methods requiring a numerical tool or optimization procedure. Furthermore, provided that the sample thickness L is evaluated, as a by-product, first using the derived closed-form objective function away from any thickness-resonance region, the proposed method then determines εrs and L free from thickness-resonance effect, which otherwise can introduce ripples around or at the thickness-resonance frequency. Numerical analysis is performed to validate and assess the performance of our method. Free-space measurements at X-band of two low-loss samples with substantial thickness are performed for validation and accuracy comparison of our method against other similar methods.
- MakaleYalnız künye2026Scopus SJRQ1AI-Assisted formative assessment in social studies education: development of an NLU-integrated smart diagnostic branched tree platform and testing its effect
Yetisensoy, Okan
Formative assessment practices have been a significant focus in Social Studies education for many years. One commonly used technique in these practices is the diagnostic branched tree, which is designed to assess students’ understanding through a branching structure based on their responses. While this technique shows promise for identifying students' learning status and gaps throughout the ongoing process, it presents several structural limitations. This research aims to address these limitations by integrating diagnostic branched trees with natural language understanding, a key AI technique in educational assessment, thereby enhancing their diagnostic capabilities and making them smarter tools in educational settings. Furthermore, this research seeks to evaluate the impact of this revised system in middle schools within a practical setting. Following the development phase, the results of the experimental study demonstrated that the revised system had a significantly positive impact on students' learning performance. Qualitative data, meanwhile, suggested that this success was largely due to the system's ability to provide formative feedback and personalized guidance, which fostered metacognition and self-regulated learning. At this point, considering the positive transformations brought about by technology, it is recommended that innovative technologies be developed to enhance formative assessment across various levels of K–12 education.
- MakaleYalnız künye2026Scopus SJRQ2Leakage-safe benchmarking of conventional chemometric and deep learning models for food NIR spectroscopy regression
Akpolat, Hacer; Akpolat, Mehmet Zahid
Near-infrared (NIR) spectroscopy is widely used in food systems for rapid, non-destructive estimation of compositional and quality attributes. Although machine-learning and deep-learning models are increasingly reported for spectral regression, practical model selection is often hindered by heterogeneous validation setups and the risk of information leakage during preprocessing and tuning. In this study, we provide a leakage-safe benchmark across nine food-related regression tasks spanning different sample sizes and spectral dimensionalities. Conventional chemometric and regression baselines (partial least squares regression, ridge regression, and support vector regression) are compared with lightweight deep-learning baselines (a shallow artificial neural network and a one-dimensional convolutional neural network) under a unified leakage-safe evaluation framework combining nested cross-validation with acomplementary fixed held-out test-set assessment, fold-wise preprocessing, and repeated training for stochastic models. Performance is summarized primarily using prediction error (RMSE in nested cross-validation and RMSEP on the held-out test set), while the coefficient of determination is retained as a secondary descriptive measure, complemented by cross-validation and fixed held-out-test learning-curve analyses together with model-complexity analysis. Across both validation analyses, ridge regression achieved the largest number of numerical task-level wins, while partial least squares regression and support vector regression remained competitive across multiple tasks. Paired randomization tests following van der Voet further showed that some small numerical differences between models were not statistically distinguishable. Artificial neural network and one-dimensional convolutional neural network baselines did not provide a reliable generalization advantage and showed greater variability in some data-limited settings. From a food-measurement perspective, these findings indicate that well-validated conventional models remain a strong default for routine NIR calibration workflows and non-destructive quality assessment. Deep learning appears most justified when calibration settings provide larger datasets, stronger experimental control, or spectroscopy-specific inductive bias that can translate added model complexity into practical measurement gains. Overall, this study serves as a controlled benchmark and reference for model selection under realistic food-spectroscopy data regimes.
AtıfOpenAlex1
İncele - MakaleYalnız künye2026Scopus SJRQ2Evaluation of post-traumatic stress disorder and food insecurity in earthquake survivors
Köktürk, Seda Nur; Esgin, Özge; Bulbul, Ali Savas; Sahin, Engin
Aim: This study aimed to investigate the psychological difficulties and challenges related to food insecurity following the earthquakes in Kahramanmaraş province on February 6, 2023, particularly examining the relationship between Post-Traumatic Stress Disorder (PTSD) and food insecurity among survivors. Subjects and methods: The research included 504 adults (71.4% female). The study assessed the subcomponents of food insecurity and measured PTSD levels among participants. It also evaluated the prevalence of Gastrointestinal System (GIS) issues and appetite loss. Results: Individuals facing food insecurity exhibited higher median PTSD scores compared to those not experiencing food insecurity. A significant majority of individuals with PTSD (90.2%) also encountered GIS issues, with a notable prevalence of appetite loss. GIS problems were common among those experiencing food insecurity. Conclusion: Many disaster victims endure both food insecurity and PTSD, negatively impacting their dietary habits and health. Providing clean, dependable, and nutritious food post-disaster can reduce health risks. Psychological support and therapy for PTSD can aid recovery. More detailed studies on nutritional status are needed for deeper insights.
AtıfScopus2WoS3OpenAlex4İncele - MakaleYalnız künye2026Scopus SJRQ1Subacute ivermectin–induced affective dysregulation: Evidence for hippocampal microglial and astrocytic activation
Eser, Mustafa; Yazıcı, Cevşen; Kandemir, Ümmühan; Üçel, Umut İrfan; Bozkurt, Mehmet Fatih; Demir Özkay, Ümide; Can, Özgür Devrim
Ivermectin (IVR) is a semi-synthetic macrocyclic lactone widely used against nematodes. Under physiological conditions, its central nervous system (CNS) penetration is limited by P-glycoprotein–mediated efflux at the blood–brain barrier (BBB). Nevertheless, supratherapeutic dosing, BBB-compromising pathologies, concomitant P-glycoprotein inhibitors, or MDR1 variants can enhance CNS entry and precipitate neurotoxicity. To evaluate behavioural and neuroinflammatory sequelae of subacute exposure, rats received IVR (1, 5, or 10 mg/kg; i.p.) once daily for 21 days. Animals were assessed for motor function (activity cage, Rota-rod), affective behaviour (elevated plus maze, modified forced swim test), and cognition (Morris water maze). Assay validation employed diazepam (1 and 3 mg/kg; i.p.), desipramine (30 mg/kg; i.p.), and piracetam (200 mg/kg; i.p.), administered according to their respective protocols. IVR did not alter motor performance or spatial learning and memory across doses. However, 5 and 10 mg/kg reduced the percentage of open-arm entries and increased immobility, consistent with anxiety- and depression-like phenotypes, respectively. At 10 mg/kg, hippocampal immunohistochemistry revealed increased Iba1 and GFAP immunoreactivity within CA1, indicating microglial and astrocytic activation. Quantitative counts demonstrated no significant change in CA1 neuronal number across treatment groups, implying that the observed glial activation occurred in the absence of detectable neuronal loss. Collectively, our data indicate that subacute, high-dose IVR provokes affective behavioural alterations coupled to hippocampal neuroinflammation, while sparing gross motor function and measurable cognitive performance under the present conditions. These findings underscore caution when administering IVR at elevated doses or in settings that compromise BBB integrity and warrant further mechanistic and time-resolved investigation.
- MakaleYalnız künye2026Scopus SJRQ3Synthesis and cytotoxic activity studies of novel heterocyclic thiosemicarbazone compounds as anticancer agents
Güllü, Eda; Hasanoğlu Özkan, Elvan; Kızıl, Hamit Emre; Nartop, Dilek
Herein, novel heterocyclic thiosemicarbazone compounds (Hb1, Hb2, Hb3) containing pyrimidine, imidazole, pyridine, and phenyl rings were synthesized via the condensation method as potential therapeutic agents for the treatment of non-small cell lung cancer. The structure of novel heterocyclic compounds was elucidated by using some spectroscopic techniques (organic elemental analysis, fourier transform infrared spectroscopy, proton/carbon nuclear magnetic resonance spectroscopy, scanning electron microscopy and energy dispersive X-ray image, and molar conductance measurement). The antiproliferative activity of novel heterocyclic thiosemicarbazone compounds using CVDK-8 cell viability assay. The viability assay was examined against A549 human non-small cell lung cancer cell line. All heterocyclic thiosemicarbazone compounds exhibited varying degrees of dose-dependent cytotoxic activity against A549 NSCLC cells. The results showed that the pyridine-based heterocyclic compound (Hb3) was the most potent antiproliferative agent, demonstrating a dose-dependent reduction in cell viability at concentrations of 50 µg/mL and higher.
- MakaleYayıncıda açık erişim2026Scopus SJRQ1Turkish validation of the CompACT: assessing psychological flexibility among emergency aid and disaster management students
Çınar, Öznur; Oral, Vildan; Turan, Melikşah; Cengiz, Ekrem
Psychological flexibility is a central construct in Acceptance and Commitment Therapy and an important protective factor for mental health, particularly among individuals expected to function effectively under high stress and uncertainty, such as those in emergency aid and disaster management. Despite its relevance for this population, no Turkish version of the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (CompACT) had been available. The present study aimed to perform a cross-cultural adaptation of the English version of CompACT into Turkish and to evaluate its psychometric properties in emergency aid and disaster management students. The study was conducted in two phases: translation and cross-cultural adaptation, followed by psychometric evaluation in a sample of 302 students. Data were analyzed using SPSS v.21 and AMOS v.22 through exploratory and confirmatory factor analyses, reliability analyses, test-retest analysis, and correlational validity testing. The exploratory factor analysis (EFA) showed that the CompACT consisted of three factors (Openness to Experience, Behavioral Awareness, and Valued Action) explaining 75.848% of the total variance, comprising 20 items. Confirmatory factor analysis (CFA) showed that the three-factor model provided the best fit to the data (χ²/df = 2.590, CFI = 0.963, TLI = 0.956, RMSEA = 0.073). The scale demonstrated satisfactory internal consistency (overall alpha = 0.843) and temporal stability (test-retest r > 0.70 across all subscales), and its expected negative associations with the Acceptance and Action Questionnaire-II (r = −0.365) and the Depression Anxiety Stress Scales-21 (r = −0.403) supported its criterion-related validity.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2The effect of practising sports on communication skills in medical students
Kaşali, Kamber; Badicu, Georgian; Al-Mhanna, Sameer Badri; de Sousa Fernandes, Matheus Santos; Şeran, Buket; Akman, Onur
Effective communication is essential for medical students in terms of patient interaction, teamwork and professional success. This study examines the effect of doing sports on the communication skills of medical students. Three hundred forty-five medical students participated in the study and their communication skills were assessed using the Effective Communication Skills Scale. The findings revealed a significant difference between Turkish and English students in terms of 'Using I Language' skills. In addition, when the students' beliefs about the physical, physiological and psychological benefits of sports were compared with the sub-dimensions of the scale, statistically significant differences were found in the sub-dimensions of "Ego Enhancing Language" (p = 0.011), "Empathy" (p = 0.047) and "Using I Language" (p = 0.005). When the relationship between the class levels of the students and the sub-dimensions of the scale was examined, significant differences were observed in the sub-dimensions of 'Ego Enhancing Language' (p = 0.001), 'Active Listening' (p = 0.011) and 'Using I Language' (p = 0.007). The findings show that doing sports is essential in improving medical students' communication skills and suggest that encouraging sports in the medical education process may be beneficial in enhancing communication competencies.
AtıfOpenAlex1
İncele - MakaleYalnız künye2026Scopus SJRQ1Optimization of Antioxidant Recovery from Deep Eutectic Solvent Phase via Back-Extraction Using Taguchi Method
Kamiloğlu, Aybike; Elbir Abca, Tuğba; Kutlu, Naciye
This study investigates the use of deep eutectic solvents (DESs) via ethyl acetate-mediated liquid–liquid extraction and the optimization of the process using the Taguchi method for the recovery of antioxidant compounds from tea industry waste. In the study, choline chloride was used as a hydrogen bond acceptor; lactic acid, glycerol, and ethanol were used as hydrogen bond donors; and different ratios of water (10–30%) were added to reduce the viscosity of the DESs. Ultrasound-assisted extraction results showed that lactic acid-based DESs provided the highest total phenolic content and antioxidant activity due to their ability to break down plant cell walls. However, in the recovery phase carried out with ethyl acetate, it was determined that ethanol-based DESs (ChCl:EtOH) were more effective in transferring antioxidants to the organic phase due to their looser molecular structure. Optimization using the Taguchi L9 orthogonal array revealed the following results: ChCl:EtOH solvent, 2:1 ethyl acetate/extract ratio, 20% water ratio, and 30-min shaking period were determined as the optimal conditions. Under these conditions, the model predicted a yield of 93.34%, and experimental validation revealed a recovery yield of 85.70 ± 1.13%. The results demonstrate that this developed green extraction method offers a sustainable alternative for converting tea waste into high value-added functional components.
- MakaleYalnız künye2026Scopus SJRQ4SURFACE ROUGHNESS AND SHORE-D HARDNESS OF SIX TROPICAL HARDWOODS; [RUGOSIDADE DA SUPERFÍCIE E DUREZA SHORE-D DE SEIS MADEIRAS TROPICAIS]; [RUGOSIDAD SUPERFICIAL Y DUREZA SHORE-D DE SEIS MADERAS TROPICALES]
Ayata, Umit; Domingos, Idalina; Ferreira, José; Cruz-Lopes, Luísa; Esteves, Bruno
Introduction: This study investigates the Shore-D hardness and surface roughness characteristics of six tropical wood species: Canelo (Nectandra spp.), Limbali (Gibertiodendron dewevrei), Difou (Morus mesozygia), Curupay (Anadenanthera macrocarpa), Ebiara (Berlinia bracteosa), and Zwarte kabbes (Diplotropis martiusii), aiming to assess their suitability for high-performance applications. Objective: To evaluate how wood species and sanding processes influence the mechanical properties and surface quality of selected tropical woods. Methods: Samples were conditioned and sanded using abrasives of different grit sizes (80, 100, 120, 150, and 180). Surface roughness parameters Ra, Rq, and Rz, as well as Shore-D hardness, were measured. Statistical analyses were performed using ANOVA and Duncan’s test. Results: Statistical analysis revealed that abrasive grit size significantly affected surface roughness (p < 0.001), with finer grits producing smoother surfaces. Wood species also had a significant effect on both roughness and hardness. Sanding had the greatest influence on Ra, Rq, and Rz parameters. Ebiara exhibited the smoothest surface, while Curupay showed the highest hardness (74.65). Conclusion: Surface roughness is primarily influenced by sanding grit, whereas hardness is determined by wood species. The results emphasize the importance of tailoring sanding procedures to the wood species in order to optimize surface quality and mechanical performance in industrial and decorative applications.
- MakaleYalnız künye2026Scopus SJRQ1Cognitive and Emotional Mediators of the Transformation of Adverse Childhood Experiences into Depression, Anxiety, and Stress: Testing a Model in Young Adults
Akeren, İhsan; Aktaş, Emirhan
Studies show that symptoms of depression, anxiety, and stress in college students increase with adverse childhood experiences (ACEs). If individuals in young adulthood cannot cope with the negative experiences they were exposed to in childhood, they are at risk of mental health problems later in life. This study aimed to determine whether the effects of the past continue into the present and to examine their scope by testing the effect of ACEs on depression, anxiety, and stress through positive and negative feelings and irrational beliefs. Using stratified convenience sampling, 708 volunteer undergraduate students, 458 female and 250 male, with a mean age of 20.84 years, were reached in their classrooms. In the cross-sectional correlational survey design, Hayes’ PROCESS macro (model 80) was used for conditional process analyses after the regression assumptions were tested. The mediator variables positive and negative feelings and irrational beliefs accounted for about two-thirds of the effect of ACEs on depression (total effect = 0.598, 95% CI [0.442, 0.755], direct effect = 0.209 [0.069, 0.348]), about half of the effect on anxiety (total effect = 0.650 [0.499, 0.802], direct effect = 0.360 [0.214, 0.506]), and more than half of the effect on stress (total effect = 0.676 [0.507, 0.844], direct effect = 0.302 [0.146, 0.458]). Finally, compared to males, females had higher mean scores for ACEs, negative feelings, and depression, anxiety, and stress, and lower mean scores for irrational beliefs. In conclusion, the study shows that the negative effects of the past continue to appear in the present and recommends taking steps to prevent their potential risks for the mental health of young adults.
- MakaleYalnız künye2026Scopus SJRQ2The Effect of Sugar Beet (Beta vulgaris L.) Varieties Grown Under Semi-Arid Conditions in Turkey’s Eastern Anatolia Region on Yield and Quality
Bagcı, Ikram; Gul, Volkan; Sefaoglu, Firat; Lan, Yuzhou; Coban, Furkan
Global climate change, which is increasingly evident today, leads to significant fluctuations in the yield and quality parameters of sugar beet varieties, particularly due to its direct impact on semi-arid regions. Therefore, the adaptation capacity of varieties especially in the semi-arid areas of eastern regions and their responses to drought and temperature stress are of critical importance. This study was conducted during the 2022–2023 growing seasons to evaluate the yield and quality performance of ten sugar beet varieties (Seranada, Lider, Mohican, Terronova, Aranka, Turbata, Bernache, Setenil, Tisserin, and Chevalier) within a continental agro-ecological zone characterized by high altitude and a semi-arid climate. The results revealed significant differences among the varieties in terms of all examined traits. The highest root yield was obtained from Chevalier (95.30 ton/ha) and Mohican (94.17 ton/ha), while Tisserin produced the lowest (71.34 ton/ha). In terms of sugar yield, Terronova ranked highest (16.18 ton/ha), whereas Tisserin (12.44 ton/ha) and Setenil (12.34 ton/ha) showed the lowest performances. The Lider variety recorded the highest sugar content (18.22%), indicating its potential as a quality-oriented genotype. Overall, Mohican and Terronova demonstrated the most favorable responses under semi-arid conditions. These findings underscore the importance of regional variety testing for identifying high-yielding and high-quality sugar beet genotypes, especially in environments affected by altitude, climate variability, and soil characteristics.
AtıfScopus1WoS1İncele - MakaleYalnız künye2026Scopus SJRQ2Seismic performance of prestressed girder bridges considering soil-pile-structure interaction and isolation systems
Öner, Erdal; Aydoğan, Ayşe N.; Yurdakul, Muhammet; Ergün, Mustafa; Artar, Musa
This article presents a comprehensive numerical study to determine the seismic performance of the Kirazlıyalı Çenesuyu Bridge, currently in service in Kocaeli, Türkiye, under both seismically isolated and non-isolated conditions, considering different soil types. The study holds great importance due to Kocaeli’s status as one of Türkiye’s most developed industrial regions, its location in a high-seismic-risk area, and its complex geological structure. The Kirazlıyalı Çenesuyu Bridge is a structure consisting of simply supported prestressed girders, commonly used in highway transportation networks. Designed as a twin bridge, the structure is 134 meters in length and 20 meters in width. Currently, the bridge is not equipped with seismic isolators; instead, its superstructure rests on elastomeric bearings over abutments and piers. Within the scope of this study, the bridge was retrofitted with Single Curved Friction Pendulum (SCFP) seismic isolators. These SCFP isolators were specifically designed in accordance with the Turkey Building Earthquake Code (TBEC-2019) standards for two distinct soil classes: ZA (hard rock) and ZC (very dense sand and gravel). The soil-pile interaction was simulated using single-parameter Winkler spring models in both horizontal and vertical directions. The Finite Element Model (FEM) of the bridge was developed in SAP2000 software, and analyses were conducted on this platform. The seismic performance of the bridge was assessed through nonlinear dynamic time history analyses using real earthquake ground motion records from the Imperial Valley, Kocaeli, and Kahramanmaraş (Pazarcık) earthquakes under various scenarios. The seismic responses of the bridge were examined in terms of base shear forces, lateral displacements of the pile, shear forces at the pier, bending moments at the pier, deck accelerations, and the hysteresis curves of the isolator. The study results demonstrate significant improvements in the seismic behavior of the bridge when equipped with the seismic isolation system. Furthermore, these improvements are shown to be directly influenced by the interaction of the structure-pile-soil system, as well as the compatibility between the frequency characteristics of this system and the frequency content of the imposed earthquake. The numerical data supporting these results are presented in the relevant sections through tables and graphs.
AtıfScopus2WoS2İncele - MakaleYalnız künye2026Scopus SJRQ2Optimizing microwave drying parameters for rhododendron bee pollen: effects on antioxidant potential, polyphenols, and proteins
Kutlu, Naciye; Gercek, Yusuf Can; Ecem Bayram, Nesrin
Monofloral Rhododendron spp. bee pollen is a remarkable bee product due to its functional components as well as its potential pharmacological effects. In this study, Rhododendron spp. bee pollen was dried by the microwave method as an alternative to the conventional drying method. Different combinations of microwave powers (140, 210 and 280 W) and sample weights (10, 20 and 30 g) applied during microwave drying (MWD) were determined by Central Composite Design. Drying time, total protein, total carotenoid, total phenolic-flavonoid compounds, and proanthocyanidin yields of dried pollen were determined and antioxidant activity tests (CUPRAC and DPPH•) were performed. The analysis results were optimized by response surface methodology (RSM) and the optimum drying conditions were obtained when the microwave power was 280 W and the sample weight was 30 g. The optimal conditions have been established to reduce drying time and enhance the content of bioactive compounds. As a result of optimization, the composite desirability (d) was found to be 0.8. Experimental and predicted values were close to each other. In conclusion, MWD has demonstrated efficacy as a drying technique by significantly reducing drying time while maintaining and enhancing the yields of bioactive compounds in monofloral Rhododendron spp. bee pollen. In comparison to conventional techniques, the application of MWD in the drying process of monofloral Rhododendron spp. bee pollen is demonstrably more efficient and sustainable.
- MakaleYalnız künye2026Scopus SJRQ2Identifying the optimal flexural performance of metal-composite single-lap joints with copolyester-reinforced epoxy adhesive under various loading rates using the Grey Relation Analysis
Erbayrak, Engin; Erbayrak, Seda; Eker, Beril; Colak, Murat
This study examines the best flexural performance of metal composite single-lap joints fabricated with copolyester-reinforced epoxy adhesives at various loading rates using the Grey Relation Analysis (GRA). The study consists of three parts. The first part involves the formation of metal composite single-lap joints and their experimental approach under different loading rates. In the experimental approach, A356 aluminum was used as the metal material with the addition of titanium (Ti) and boron (B) additives. Plain-woven glass fiber-reinforced epoxy (GFRE) and plain-woven carbon fiber-reinforced epoxy (CFRE) were served as the composite materials. The lap joints were tested in three-point bending tests under loading rates of 1, 10, and 50 mm/min, respectively. In the second part, a numerical analysis was conducted using boundary conditions similar to the experimental conditions. In the numerical analysis, a 6-node pentahedral cohesive element was utilized, representing a novel approach for modeling adhesives in finite element analysis (FEA). When experimental and numerical results were compared, a difference of 4.36% was observed between the maximum load values and 6.80% between the failure displacements. Based on these results, it can be said that the experimental results converge with the numerical results. In the last part of the study, performance rankings of metal composite joints were determined using the Grey Relational Analysis (GRA) method, which enabled us to identify the optimum joint. This systematic approach facilitated the scientific design of joints that demonstrate optimal flexural performance under various loading conditions.
- MakaleYalnız künye2026Scopus SJRQ1The effect of digital and traditional methods on learning and retention in preschool education: a comparison of virtual reality, augmented reality, web-based, and manipulative materials
Tutkun, Cansu
The pedagogical use of digital technologies in early childhood education is increasingly prevalent today. Augmented reality, virtual reality, and web-based content have the potential to make children’s learning processes more interactive and lasting. In this context, the study compared the effects of different teaching methods presented with augmented reality, virtual reality, web-based, and manipulative (traditional) materials on children’s learning and retention levels. In the quasi-experimental study, a total of 400 children attending preschool education institutions in Bayburt, Turkey, were divided into four different groups and evaluated using a “pre-test–post-test–retention test” model. The results revealed that the virtual reality group achieved the highest scores in both learning and retention levels, followed by the augmented reality and web-based groups, while the manipulative group demonstrated the lowest performance. In addition, the virtual reality environment was evaluated by children as the most enjoyable and satisfying method, and children in this group were the most willing to use the training again. These results show that digital technologies such as virtual and augmented reality in preschool education should be evaluated as effective tools in terms of achieving pedagogical goals and increasing children’s interest in learning.
- MakaleYalnız künye2026Scopus SJRQ4CORRELATION BETWEEN THE CHEMICAL COMPOSITION OF WOOD AND THE INCREASING OF ITS CALORIFIC VALUE THROUGH HEAT TREATMENT; [CORRELAÇÃO ENTRE A COMPOSIÇÃO QUÍMICA DA MADEIRA E O AUMENTO DO PODER CALORÍFICO ATRAVÉS DO TRATAMENTO TÉRMICO]; [CORRELACIÓN ENTRE LA COMPOSICIÓN QUÍMICA DE LA MADERA Y EL AUMENTO DE SU PODER CALORÍFICO MEDIANTE TRATAMIENTO TÉRMICO]
Domingos, Idalina; Ferreira, Miguel; Ferreira, José; Dulyanska, Yuliya; Ayata, Umit; Esteves, Bruno
Introduction: The greatest importance of biomass lies in its Higher Heating Value (HHV), when considered for energy production. The calorific value is significantly affected by the changes in the chemical composition of the wood that occur during heat treatment. Objective: To understand the effect of heat treatment on the calorific value of the chemical constituents of two hardwoods: Sapelli and chestnut, and two softwoods: Scots pine and Siberian pine. Methods: The calorific value was determined by a Parr calorimeter – model 6400. The content of extractives was determined by successive Soxhlet extraction using about 3 g of each sample and 150 ml of dichloromethane, ethanol, and water as solvents. The extractives content was determined in accordance with TAPPI 204, and insoluble lignin by the Klason method Tappi T 222 om-02. For the determination of holocellulose, the acid chlorite method was used. Results: The calorific value of untreated wood ranged from 18.98 MJ/kg for chestnut to 20.35 MJ/kg for Siberian pine. Heat treatment resulted in an increase in the calorific value for most of the wood samples studied. Conclusion: The rise in HHV observed during heat treatment in softwoods and hardwoods is mainly due to the increase in lignin content, although dichloromethane extractives also play an important role.
- Kitap BölümüYalnız künye2026Bullying in the Digital Age: The Anatomy of Cyberbullying in Organizations
Battal, Fetullah; Öz, Halil Hakdan
The increase in electronic and computer-based communication and information sharing has significantly altered individuals’ social communication, learning methods, and entertainment styles. Digitalization has made individuals a part of the virtual world in almost every field, such as education, communication, and trade. With the digital age, the tools used by individuals in business and daily life are changing. Internet technologies that facilitate working life for organizations have become indispensable today. Information and communication technologies have increased communication channels, which have improved formal and informal relations between employees, thus enabling them to solve their work in a fast, easy, and accessible way without waiting. However, in addition to the mentioned contributions, it is known that digitalization has negative effects on the individual’s psychology and business life. These negative effects cause the development of cyberbullying in organizations. Cyberbullying refers to intentional and hostile behavior that aims to harm the individual using digital and technological tools. Cyberbullying cases are also observed in organizations where digitalization is intense and strong. It is possible to see the presence of cyber bullies who do not feel effective and adequate when they interact directly in organizations, and therefore tend to create a negative and harmful effect by hiding themselves online, with the disturbing messages they send, humiliating comments on social networks, and threatening and intimidating posts they publish. For example, a manager criticizing an employee in a humiliating language in a public email or an employee spreading unfounded information about another employee on social media is considered in this context. Exposure to humiliating, threatening, and intimidating behaviors in digital environments negatively affects employees. Employees exposed to cyberbullying may have psychological symptoms such as work-related stress, anxiety, irritability, fear, and depression. Physically, insomnia, headache, and general health problems can be observed. This situation leads to behaviors that will negatively affect organizational activities, such as low job satisfaction, distrust towards the organization, decreased organizational commitment, and disengagement from work. Organizations need to develop effective policies to prevent cyberbullying. In order to increase the effectiveness of the policies to be developed, it is important to anatomically examine how cyberbullying behavior is shaped, with which tools it is done, and its effects. In this respect, this study aims to examine the antecedents, tools, and consequences of cyberbullying in detail and thus to develop recommendations to prevent cyberbullying.