Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(117)
- Kaya, Yunus(51)
- Şahin, Engin(48)
- İspirli, Hümeyra(47)
- Özen, Soner(46)
- Şenay, Volkan(45)
- Pat, Suat(44)
- Can, Zehra(39)
- Bayraktar, Bülent(37)
- Bayram, Sinan(37)
- Korkmaz, Şadan(36)
- Cuce, Erdem(35)
- Ecem Bayram, Nesrin(33)
- Kutlu, Naciye(33)
- Yilmaz, Mustafa Tahsin(32)
- Artar, Musa(31)
- Ertugrul, Mehmet(30)
- Öner, Erdal(30)
- Ayata, Ümit(29)
- Hasar, Ugur Cem(29)
- Esmer, Yusuf(28)
- Mercan, Emin(27)
- Cuce, Pinar Mert(26)
- Özdemir, Akın(25)
- Çolak, Murat(24)
- Bayram, Ozkan(23)
- Kamiloğlu, Aybike(23)
- Sert, Durmuş(22)
- Ayazoglu, Rabil(21)
- Abdioglu, Murat(20)
- Bayram, Nesrin Ecem(20)
- Kadakal, Mahir(20)
- Kara, Yakup(20)
- Kizil, Hamit Emre(20)
- Tozlu, Alperen(20)
- Birinci, Ahmet(19)
- Gerçek, Yusuf Can(19)
- Battal, Fetullah(18)
- Dirican, Ebubekir(18)
- Ergün, Mustafa(18)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ4Association Between Health Literacy and Mediterranean Diet Adherence Among Adult Women in Türkiye
Çam, Alper Veli; Şik, Elif
Objective: Health literacy is widely recognized as an important determinant of informed health-related decision-making. However, evidence regarding whether health literacy translates into healthy eating behaviors, particularly adherence to the Mediterranean diet, remains limited. This study aimed to examine the association between health literacy levels and adherence to the Mediterranean diet among adult women living in Türkiye. Methods: This cross-sectional study was conducted with 400 women aged 18 years and older residing in Türkiye. Data were collected using a sociodemographic information form, the Turkish Health Literacy Scale–Short Form, and the Mediterranean Diet Quality Index (KIDMED). Health literacy levels were categorized as inadequate, problematic–limited, adequate, and excellent, while Mediterranean diet adherence was classified as low, moderate, or optimal. Ordinal logistic regression analysis was performed to examine the association between health literacy and adherence to the Mediterranean diet, adjusting for sociodemographic variables (age, education, income, and occupation). Findings: Among the participants, 25.3% had inadequate health literacy, 31.8% had problematic–limited health literacy, 34.0% had adequate health literacy, and 9.0% had excellent health literacy. Mediterranean diet adherence was low in 34.5% of participants, moderate in 52.3%, and optimal in 13.3%. The ordinal logistic regression analysis revealed that, after adjusting for sociodemographic variables, one dimension of health literacy (Cognitive Health Literacy) was significantly associated with Mediterranean diet adherence, whereas no significant association was observed for the other dimension. Conclusion: The findings suggest that certain dimensions of health literacy may be associated with adherence to the Mediterranean diet when sociodemographic factors are taken into account. These results highlight the importance of considering both individual knowledge and contextual factors in understanding dietary behavior. Future research should further explore the role of nutrition-specific literacy and structural determinants in shaping healthy eating practices.
- 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.
- DüzeltmeAçık Erişim2026Scopus SJRQ2Corrigendum to “Life satisfaction and problematic online gaming among young adults: the mediating roles of depression, anxiety, and stress” [Entertain. Comput. 58 (2026) 101206]
Bekir, Seyhan; Yayla, İbrahim Erdoğan; Makas, Samet; Manci, Egemen; Yıldırım, Murat
The authors regret that “The authors regret that the Ethics Committee date and approval number were incorrectly reported in the Methods section of the published article. The incorrect information has been removed from the Methods section, as the correct Ethics Committee approval details are already provided in the Ethical Approval section of the article. The authors would like to apologise for any inconvenience caused”. The authors would like to apologise for any inconvenience caused.
- 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 - MakaleAçık Erişim2026Scopus SJRQ1Effects of Moringa oleifera Oil on Adipokine Responses, Inflammation, Oxidative Stress, Bacterial Burden, and Early Survival in CLP-Induced Septic Rats
Ülker, Ufuk; Bayraktar, Bülent; Alr, Mehmet Eray; Kızıl, Sibel; Karan, Tünay; Kotan, Gökşad Cemil; Yeni, Mustafa
Moringa oleifera has anti-inflammatory and antioxidant properties, but its effects in polymicrobial sepsis are incompletely defined. We evaluated M. oleifera oil (MOO) in female Wistar rats subjected to cecal ligation and puncture (CLP). Forty rats were randomized to Control, Sham, CLP, CLP + MOO 100 mg/kg, or CLP + MOO 200 mg/kg (n = 8/group). At 24 h, survival, clinical scores, serum apelin, omentin-1, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), malondialdehyde (MDA), recoverable bacterial burden, and histopathology were assessed. CLP decreased omentin-1 and increased IL-6, TNF-α, MDA, recoverable Staphylococcus aureus and Escherichia coli, clinical severity, and multi-organ injury. At 200 mg/kg, apelin and omentin-1 were 1.15 ± 0.12 and 28.4 ± 3.1 ng/mL, while IL-6, TNF-α, and MDA decreased to 18.4 ± 1.8 pg/mL, 24.1 ± 2.8 pg/mL, and 2.5 ± 0.3 nmol/mL, respectively. Neither organism was recovered above the detection limit. Survival was 62.5% in CLP, 87.5% with 100 mg/kg, and 100% with 200 mg/kg MOO. Within this 24 h model, a single post-CLP oral dose of MOO was associated with lower inflammatory cytokine concentrations and MDA, reduced recoverable bacterial burden, improved clinical and histopathological findings, and higher descriptive survival. Because MDA was the sole oxidative endpoint and no non-septic MOO-only group or molecular redox assays were included, these findings support the attenuation of sepsis-associated lipid peroxidation but do not establish a direct antioxidant mechanism.
- 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.
- MakaleAçık Erişim2026Scopus SJRQ2Exploring the ımpact of metal doping and alternative electrodes on the performance of dye-sensitized solar cells
Calıskan, Berrak; Sayan, Enes; Igman, Erdal
This study explores the synthesis and characterization of metal-doped TiO2 thin films for applications in dye-sensitized solar cells (DSSCs). Titanium dioxide (TiO2) films were doped with various metal ions such as Ag+, Zn2+, Fe3+, and Co2+, to enhance the photoelectrochemical properties of the photoanode. The films were characterized using various techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), UV–Vis spectroscopy, and X-ray photoelectron spectroscopy (XPS). The doping process was found to influence the morphology, surface area, and optical properties of the TiO2 films, resulting in enhanced light absorption, particularly in the visible range. The effects of metal doping on the performance of the DSSCs were evaluated, showing that Co2+ and Ag+ doping resulted in improved efficiency compared to undoped TiO2, with the Co2+-doped TiO2 achieving the highest power conversion efficiency of 2.85%. Additionally, the incorporation of reduced graphene oxide (rGO) as a counter electrode demonstrated a significant enhancement in DSSC performance, even surpassing traditional platinum-based counter electrodes. The results suggest that metal doping and rGO incorporation offer promising strategies for improving DSSC efficiency. This study highlights the potential of metal-doped TiO2 photoanodes and rGO counter electrodes in advancing the development of cost-effective, high-performance DSSCs for sustainable solar energy applications.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2026Scopus SJRQ3Molecular structure, spectral characteristics, and nonlinear optical properties of labetalol: an experimental and computational investigation
Çınar, Mehmet; Can, Sümeyra
Labetalol is an antihypertensive agent that possesses both α- and β-adrenergic blocking properties. This characteristic allows for its clinical use in both chronic hypertension and hypertensive emergencies. In this study, the FT-IR, FT-Raman, 1 H, 13 C, and DEPT-135 NMR spectra of labetalol hydrochloride (Labetalol HCl) were recorded and examined. Furthermore, the pharmacologically active (R, R) stereoisomer of labetalol was theoretically investigated using the B3LYP functional and the 6-311++G(d, p) basis set. The theoretically determined ground-state geometry of the molecule showed excellent agreement with experimental data reported in the literature. Using the obtained optimized structure, the vibrational spectra of the molecule were simulated, and the vibrational modes were assigned by evaluating them together with the experimental data. Nuclear Magnetic Resonance (NMR) analysis of the molecule was performed considering experimentally recorded values and calculations for gas phase, DMSO, and chloroform solvent environments, and the chemical shift values for each H and C atom were determined. Using Time-Dependent Density Functional Theory (TD-DFT) and Solvation Model based on Density (SMD) approaches, the UV-Vis spectra of the molecule were obtained in the gas phase and in four different solvent environments (ethanol, methanol, DMSO, and water). To better understand the electronic properties of the molecule, Frontier Molecular Orbitals (FMO), Molecular Electrostatic Potential Surface (MEPS), Hirshfeld surface analysis, Mulliken and Hirshfeld charge distributions, and Density States (DoS) analyses were performed. In addition, the non-linear optical (NLO) properties of the molecule were theoretically calculated, and the results showed that the molecule could be a promising NLO candidate.
- MakaleAçık Erişim2026Scopus SJRQ2Rhodanine–Sulfonate hybrids targeting aldose reductase: Synthesis, in vitro inhibition, molecular docking, and cytotoxicity studies
Kalay, Erbay; Demir, Yeliz; Türkeş, Cüneyt; Aslan, Osman Nuri; Pezik, Esra; Şahin, Engin
Aldose reductase (ALR2), a key enzyme in the polyol pathway, plays a significant role in the onset and progression of diabetic complications, rendering it a critical pharmacological target. In this study, a novel series of twenty-four sulfonate ester-functionalized rhodanine derivatives (compounds 1–24) were rationally designed, synthesized via Knoevenagel condensation, and comprehensively evaluated for their inhibitory activity against ALR2. Spectroscopic and spectrometric methods confirmed the structural integrity of the synthesized compounds. In vitro enzyme inhibition assays revealed that all compounds acted as competitive inhibitors, with several analogues, particularly compounds 6 and 8, exhibiting stronger ALR2 inhibition (Ki = 0.43 µM and 0.48 µM, respectively) than the reference drug epalrestat (Ki = 0.98 µM). Structure–activity relationship (SAR) analysis highlighted the critical influence of para-substituted electron-donating (e.g., methyl) and electron-withdrawing (e.g., nitro, halogen) groups on binding potency. Molecular docking of the most potent inhibitor (compound 6) demonstrated a stable binding pose supported by key interactions, including hydrogen bonding with His110 and π–π stacking with Phe122. In silico ADME profiling confirmed favorable drug-likeness properties for all derivatives. Cytotoxicity studies on L929, A549, and RG-2 cell lines revealed that most compounds were less toxic than the reference drug at lower concentrations, with compound 8 showing a promising cytotoxic profile. These findings position rhodanine–sulfonate hybrids as promising scaffolds for the development of next-generation ALR2 inhibitors for the treatment of diabetic complications.
AtıfScopus2WoS3
İncele - MakaleAçık Erişim2026Scopus SJRQ1Dietary chokeberry (Aronia melanocarpa) supplementation improves colony development, nutritional status, antioxidant defences, and honey production in honey bee colonies
Erdoğan, Yaşar; Erdoğan, Ümmügülsüm
This study evaluated the effects of chokeberry (Aronia melanocarpa) fruit powder as a functional dietary supplement for honey bee (Apis mellifera) colonies, focusing on colony development, antioxidant defences, nutritional status, behaviour, and honey yield under field conditions. A total of 48 colonies were randomly assigned to four feeding treatments (control, 2, 5, and 10 g L−1 chokeberry supplementation), with six colonies per treatment in each apiary (n = 6 per apiary; n = 12 per treatment). The experiment was conducted as a balanced field trial across two apiaries. Colonies were fed sucrose syrup supplemented with chokeberry powder for 21 days. Following the feeding period, colonies were transferred to two high-altitude summer apiaries where colony development, flight activity, defensive behaviour, antioxidant biomarkers, and end-of-season honey yield were evaluated. Results demonstrated that chokeberry supplementation significantly improved colony development, with significant dose effects on brood area and bee-covered frames (both p < 0.001). Flight activity also increased with supplementation dose (p < 0.001), whereas defensive behaviour was not affected. Total antioxidant capacity (TAC), superoxide dismutase (SOD), catalase (CAT) activity, and haemolymph total protein concentration all increased significantly with supplementation (all p < 0.001). End-of-season honey yield was significantly higher in supplemented colonies than in the control group (p < 0.001). Overall, these findings demonstrate that chokeberry fruit powder represents a promising functional dietary supplement capable of improving colony performance through the combined contribution of its nutritional composition and bioactive phytochemicals under practical field conditions.
- 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.
AtıfOpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ3The impact of ChatGPT-integrated reading activities on the reading attitudes and habits of middle school students
Kaplan, Kadir; Özen, Nesime Ertan; Özcan, Halil Ziya
This study examines the impact of the artificial intelligence tool ChatGPT on middle school students' attitudes and reading habits during a brief intervention. Twenty-six students from a middle school in Türkiye—13 in the experimental group and 13 in the control group—took part in an eight-session, four-week quasi-experimental study. Both quantitative and qualitative data were collected using a sequential explanatory mixed-methods approach. Data was gathered and analyzed using the Attitudes and Habits towards Reading Scale, the Digital Literacy Scale, and focus group interviews. Preliminary results indicate that students in the experimental group had better reading habits and attitudes than those in the control group. After the ChatGPT intervention was implemented, the experimental group's students showed a significant improvement in their positive attitudes toward reading. However, the experimental group also showed an unexpected increase in negative reading attitudes, warranting further investigation. Three primary themes, covering both the advantages and disadvantages of the application, were identified from the student interview data. These results highlight how artificial intelligence (AI) technologies present a potentially novel way to boost reading motivation in educational settings. However, to use these technologies effectively, educators and students must acquire more knowledge and skills. Longer-term studies with larger sample sizes are also required to validate these initial findings.
AtıfScopus3OpenAlex3İncele - Derleme MakaleAçık Erişim2026Scopus SJRQ1A Meta-Analysis of Self-Management Strategies to Enhance Educators’ Teaching Performance
Aydin, Orhan; Ari-Arat, Ceren; Sulu, Mehmet D.
This meta-analysis examines the effectiveness of self-management strategies in enhancing the teaching performance of educators, with a focus on special education contexts. Thirty-six studies, including peer-reviewed articles and gray literature, were evaluated for methodological rigor using the What Works Clearinghouse (WWC) Design Standards. Of these, 26 studies meeting the standards with or without reservations were further analyzed using descriptive review, meta-analysis, and moderator analysis. Findings revealed self-monitoring is the most frequently used self-management strategy. Among the educators included in the studies, the majority were special education teachers. Effect sizes were calculated using Tau-U for all 26 studies, between-case standardized mean difference (BC-SMD) for 25 studies, and performance-criteria-based effect size (PCES) for 13 studies reporting a mastery criterion. The overall Tau-U indicated a very large effect size of 0.88 (CI95 = [0.74, 1]), and BC-SMD resulted in a large effect size of 0.87 (CI95 = [0.77, 0.98]). The PCES showed an overall effective effect size of 1.15 (CI95 = [1.07, 1.23]). Moderator analysis revealed behavior-specific praise, and fewer years of teaching experience were associated with higher teaching performance effect sizes compared to other relevant categories; however, years of teaching experience and higher teaching performance were positively associated when using BC-SMD calculations. Detailed findings along with corresponding recommendations are discussed. © Hammill Institute on Disabilities 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).
- 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.
- MakaleAçık Erişim2026Scopus SJRQ1A Single-Source Pilot Study of Machine Learning-Assisted Microwave S-Parameter Screening for Glucose Syrup and Water Adulteration in Grape Molasses
Engin, Mustafa Alptekin; Cakir, Mehmet; Cakil, Turan
Grape molasses, known as pekmez in Turkish, is a traditional concentrated fruit product that may be adulterated with cheaper sweeteners or water. This study evaluated broadband microwave S-parameter measurements as a rapid, non-destructive screening approach for detecting glucose syrup substitution and water dilution in grape molasses. Nine physical mixture groups were prepared, including pure grape molasses, glucose syrup–substituted mixtures at 5–30%, pure glucose syrup as an endpoint reference, and water-diluted mixtures at 10–30%. For each group, five consecutive technical measurements were recorded using a Libre vector network analyzer connected to a WR-229 waveguide-based two-port setup over 3.30–4.90 GHz. All mixtures were prepared from a single commercial grape molasses source and a single glucose syrup source; the results should therefore be interpreted as pilot-scale, single-source evidence rather than a generalizable screening method. Glucose syrup substitution produced a systematic upward shift in S11 resonance frequency. In the practical 0–30% range, S11 resonance frequency showed a strong linear relationship with glucose syrup content on the calibration data (R2 = 0.9955; inverse prediction error = 0.72 percentage points), though this reflects calibration fit rather than independently validated prediction accuracy. Water dilution produced stronger S21 attenuation. The detection principle is based on the complementary use of S11 resonance behavior for glucose syrup substitution and S21 transmission loss for water dilution. In group-blocked point-wise classification, the Ensemble Bagged Trees classifier achieved 88.79% accuracy and a macro-F1 score of 0.874. These results indicate that S11 and S21 provide complementary proof-of-concept indicators for controlled-mixture screening of grape molasses adulteration.
- MakaleAçık Erişim2026Scopus SJRQ2Modulation of stress and neuroplasticity biomarkers via rhythmic vocalization: a controlled study on NDNF, cortisol, and monoamines
Okur, Süheyb; Bayraktar, Bülent
Background: The aim of this study is to investigate the effect of reciting the Quran (from Mushaf) on serotonin, dopamine, NDNF, and cortisol levels in relation to mental well-being. Methods: This study was conducted on a sample of university students who know how to read the Quran in Türkiye, selected by a non-probability method, with a pre-test-post-test control group and a longitudinal design; the assignment to the groups was also done randomly. The research was carried out with 72 university students (36 female, 36 male), aged 19–30, who know how to read the Quran and do not have any health problems. Two groups were formed: a 36-person experimental group and a 36-person passive resting control group. The Mental Well-Being Scale and a personal information form were used to evaluate the participants’ well-being status. Salivary serotonin, dopamine, NDNF, and cortisol levels were examined using the ELISA technique in samples taken before and after the experimental group recited verses 195–200 of Surah Al-i Imran aloud. Number, percentage, mean, Pearson correlation, and ANOVA tests were used to evaluate the data. Statistical significance was accepted as p <.05 for all analyses. Results: A significant group-time interaction was found (p <.05). Compared to the passive resting control group, the experimental group showed statistically significant increases in salivary serotonin, dopamine, and NDNF levels, and a significant decrease in cortisol levels. However, a critical dissociation was observed: despite this neuroprotective biomarker profile, the control group reported statistically significantly higher post-intervention mental well-being scores than the experimental group (p <.05). This suggests that the acute cognitive load and performance anxiety associated with the recitation task may temporarily mask physiological benefits in self-reports. Conclusions: A brief (5-minute) ‘Tartil’ recitation of the Quran demonstrates immediate, positive neurobiological effects by reducing stress hormones (cortisol) and increasing reward- and neuroplasticity-related biomarkers (dopamine, serotonin, NDNF). However, this did not immediately translate to higher self-reported well-being, suggesting the relationship between the neurobiology of recitation and its perceived psychological effects is complex and potentially confounded by factors such as performance anxiety or cognitive load in an experimental setting. Clinical trial number: Not applicable.
AtıfScopus2WoS3OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ1Depression and psychiatric help-seeking as joint outcomes: a Bayesian multilevel analysis of household-level dependence
Camadan, Fatih; Yıldız, Mehmet Selim; Şahin, Hatice Büşra; Urak, Faruk; Börekçi, Taha Berkay; Bilgiç, Abdulbaki
Background: Depression and the utilization of psychiatric services (PSU) are complex mental health outcomes shaped by a wide range of individual, familial, and socioeconomic factors. However, within the context of Türkiye, limited attention has been devoted to the simultaneous modeling of these outcomes and to the systematic examination of their shared household-level determinants. Methods: This study conducts a concurrent analysis of two binary outcomes—self-reported depression and receipt of professional psychiatric care within the past 12 months—using data from a nationally representative household survey. The analytical sample comprises 22,742 individuals nested within 10,028 households across Türkiye. A Bayesian multilevel bivariate logistic regression model was employed to account explicitly for the hierarchical structure of the data, with individuals nested within households. Household-level random intercepts were specified for both outcomes, and the correlation between the latent processes underlying depression and PSU was directly estimated. Weakly informative priors were adopted, and model estimation was performed using the No-U-Turn Sampler (NUTS), an efficient variant of the Hamiltonian Monte Carlo algorithm. Results: The results reveal pronounced clustering of both depression and PSU at the household level. A strong positive correlation between household-level random effects indicates that individuals experiencing depression are substantially more likely to utilize psychiatric services within the same family context. At the individual level, men are significantly less likely than women to report depressive symptoms or to seek psychiatric care. Tobacco and alcohol use are positively associated with depression risk, whereas adequate rest and healthier lifestyle behaviors exhibit protective effects. Increases in body mass index (BMI) are associated with a higher likelihood of depression. In contrast, active employment and higher household income are linked to reduced depression risk. Additionally, a range of sociodemographic and economic characteristics exert significant effects on both depression and PSU. Conclusions: These findings demonstrate that depression and psychiatric service utilization (PSU) are shaped not only by individual-level characteristics but also by shared familial and structural factors. The results underscore the need for mental health policies that move beyond narrowly individual-centered frameworks and instead adopt holistic strategies that incorporate household dynamics and broader socioeconomic conditions.