Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Dertli, Enes(115)
- Kaya, Yunus(50)
- Ayata, Ümit(48)
- Şahin, Engin(48)
- İspirli, Hümeyra(46)
- Bayraktar, Bülent(42)
- Şenay, Volkan(41)
- Can, Zehra(39)
- Özen, Soner(37)
- Bayram, Sinan(35)
- Pat, Suat(35)
- Öztürk, Mesut(35)
- Ecem Bayram, Nesrin(34)
- Esmer, Yusuf(34)
- Battal, Fetullah(33)
- Artar, Musa(32)
- Öner, Erdal(32)
- Korkmaz, Şadan(31)
- Yilmaz, Mustafa Tahsin(31)
- Ertugrul, Mehmet(30)
- Mercan, Emin(30)
- Hasar, Ugur Cem(29)
- Kutlu, Naciye(28)
- Özdemir, Akın(27)
- Kul, Murat(26)
- Cuce, Erdem(25)
- Kamiloğlu, Aybike(25)
- Bayram, Ozkan(24)
- Sefali, Abdurrahman(24)
- Sert, Durmuş(24)
- Çolak, Murat(24)
- Ayazoglu, Rabil(22)
- Gıdık, Betül(22)
- Maden, Sedat(22)
- Ustabulut, Mete Yusuf(22)
- Uçurum, Metin(22)
- Akeren, Zahide(21)
- Dirican, Ebubekir(21)
- Kara, Yakup(21)
- Abdioglu, Murat(20)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Keys to female athlete performance in Paris 2024
Boz, Emre; Adatepe, Eda; Çelik, Hüsniye; Kırkbir, Hakan; Öktem, Tuncay; Ünlü, Yılmaz; Öz, Ümit; Yılmaz, Büşra
The research was conducted to identify the key factors influencing the performance of Turkish female athletes participating in the Paris 2024 Olympic Games. In this context, seven female Olympic athletes who participated in the relevant organization volunteered to take part in the research. A semi-structured interview form prepared by the researchers was used to identify the participants’ views on the factors affecting their performance. Individual interviews were conducted with each participant at different times, and all interviews were recorded. All interview transcripts obtained were analyzed and visualized using MAXQDA 2020 software. In the study, the experiences of female athletes were grouped under five themes: factors most affecting performance, environmental factors, physiological factors, socio-cultural factors, and psychological factors. The findings show that the athletes’ experiences are not limited to athletic performance alone, but are also influenced by multidimensional factors such as organizational shortcomings, environmental conditions, psychological pressure, socio-cultural interactions, and physiological conditions. In the study, first-time participants were positively influenced by motivation, team support, and communication with foreign athletes, while experienced athletes, having higher expectations, criticized factors such as organizational shortcomings, hygiene, and nutrition issues. The study reveals that the factors affecting the performance of female athletes are multidimensional and interactive, emphasizing the importance of comprehensively considering physiological, psychological, environmental, and socio-cultural needs in the planning of international sports organizations. In particular, strengthening health support, nutrition services, cultural adaptation, and social support mechanisms are recommended as measures that will increase athletes’ performance and experience satisfaction.
AtıfOpenAlex1
İncele - 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.
- MakaleAçık Erişim2026Scopus SJRQ3Effects of Various Bleaching Chemicals on Some Surface Properties of Ebony Species (African, Black, and Macassar)
Ayata, Ümit
The concept of color is not always suitable for some trees according to customers’ preferences. The color of the wooden material changes with processes such as heat treatment, impregnation, bleaching, etc. When the color of the wooden material changes, the surface also undergoes changes in its inherent properties. African ebony (Diospyros crassiflora Hiern.), black ebony (Diospyros ebenum), and Macassar ebony (Diospyros celebica Bakh.) wood species were treated using a single-component bleaching chemical [oxalic acid (C2H2O4)] and double component bleaching chemical [hydrogen peroxide (H2O2) + sodium hydroxide (NaOH)] using a brushing technique. Subsequently, the characteristics of the changes that occurred were determined, including color parameters and whiteness index (WI*) values. The wood species exhibited different behaviors (increases and decreases specific to each test) in response to both bleaching agents. There was an observed increase in the a*, b* and C* values, while the ho values decreased for all wood species. Furthermore, WI* values in directions perpendicular and parallel to the fibers were reduced in all wood species by oxalic acid treatment.
- 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.
AtıfScopus6OpenAlex7İncele - 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.
- MakaleAçık Erişim2026Scopus SJRQ1Integrating artificial intelligence into preservice teacher education: enhancing AI literacy and digital material design competency
Gulen, Hilal Nur; Kucuk, Sevda
The rapid advancement of Artificial Intelligence (AI) has transformed educational tools and practices. Integrating AI into instruction supports complex thinking, enriches teaching, and helps educators in material creation and visualization. Therefore, it is essential to equip both students and educators with AI literacy and digital material design competencies in order to support pedagogically sound and ethically responsible instructional practices. Within this context, the present study examines the extent to which an AI-integrated instructional technology course influences pre-service teachers’ AI literacy and digital material design competencies, as well as their perceptions and experiences of learning within an AI-integrated instructional environment. Using a mixed-methods approach, 50 pre-service social studies teachers (41 female, 9 male) participated in a semester-long course. Data were collected through the Artificial Intelligence Literacy Scale, Digital Material Design Competency Scale, and semi-structured interviews. Paired sample t-tests indicated significant gains in both AI literacy and digital material design competencies, with large effect sizes. Qualitative and quantitative findings showed that AI tools not only improved technical abilities but also enhanced pedagogical thinking. The study highlights the importance of AI-integrated curricula in preparing future teachers for modern educational challenges.
AtıfScopus2WoS1OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ4ANDROSACE ARMENIACA SUBSP. VULCANICA SEFALI & EROĞLU: A NEW TAXON FROM EASTERN ANATOLIA, TÜRKIYE
Sefali, Abdurrahman; Korkmaz, Eren; Eroğlu, Hüseyin
A new taxa, Androsace armeniaca subsp. vulcanica Sefalı & Eroğlu nov. (Primulaceae) is described and illustrated from Ağrı Province, Türkiye. It is morphologically assigned to Androsace sect. Andrapsis based on its long scape and small flower habit and the presence of glandular hairs covering the calyx and scape. This new taxon closely resembles A. armeniaca subsp. armeniaca var. armeniaca and A. armeniaca subsp. armeniaca var. macrantha, but is easily distinguished by its overall habitus, smaller flowers, distinct corolla and calyx characteristics (including the color and lobe shape), pedicel length and habitat (volcanic areas).
- 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.
- 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.
AtıfOpenAlex1İncele - 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.
AtıfScopus2WoS3İncele - 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.
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