Gümüşhane ÜniversitesiGümüşhane ÜniversitesiAçık Erişim Arşivi · RDL Open

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  • MakaleAçık Erişim2025Scopus SJRQ3
    Highland Festivals in Türkiye’s Eastern Black Sea Region: A Cultural Sociological Analysis

    Özkan, Vildane

    This article examines the social functions of highland festivals in Türkiye’s Eastern Black Sea uplands and their role in sustaining cultural continuity. Drawing on participant observation at major festivals in Gümüşhane, Rize, and Artvin, alongside relevant case studies, the research finds that these rituals generate strong collective effervescence and enact common values. Despite pressures from emigration and tourism, the festivals have adapted practices to maintain social cohesion. Interpreted through a cultural sociological framework, the analysis shows how ritual performances operate as symbolic practices that reinforce identity, embody shared habitus, and mediate the tension between tradition and modernity. The research thus illustrates how highland festivals function as sites of cultural reproduction and collective solidarity under conditions of social change.

    Scopusİncele
  • MakaleAçık Erişim2025Scopus SJRQ2
    Neutrosophic exponential estimators for estimating the population mean using auxiliary attributes: An application to temperature data

    Zaman, Tolga; Sozen, Caglar

    Classical statistical methods cannot directly incorporate measurement uncertainties and indeterministic elements into the model, leading to estimation errors and biases, especially in environmental datasets. Neutrosophic statistics, on the other hand, offers a broader approach that does not only rely on exact values, but also includes ambiguous, incomplete and conflicting information. In this study, we propose a new neutrosophic ratio-type estimator for estimating the population mean using monthly temperature data for Turkey for the period 2010-2022. This study proposes neutrosophic multivariate exponential estimators considering two auxiliary attributes. The mean square error equations of all proposed neutrosophic exponential estimators are obtained theoretically. Some conditions of neutrosophic multivariate exponential estimators are considered and the properties of these estimators are studied. The effectiveness of the proposed neutrosophic exponential estimators is analyzed using neutrosophic temperature data. In addition to real data analysis, extensive simulation studies are conducted under various scenarios to evaluate the performance of the estimators. The results demonstrate that the proposed estimators perform effectively under uncertainty and can be successfully applied in forecasting environmental variables.

    AtıfScopus2WoS1OpenAlex1
    ScopusWeb of ScienceTR Dizinİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    A novel q-ROHFS prospect theory based MABAC method for failure mode risk prioritization in aircraft landing systems

    Köseoğlu, Ali; Altun, Fatma; Şahin, Rıdvan

    Failure mode risk prioritization is crucial in aircraft landing systems, where undetected or misjudged failures can lead to catastrophic outcomes. Effective risk analysis enables proactive maintenance and enhances aviation safety in such critical phases of flight. In this study, a novel hybrid decision-making framework is proposed to prioritize failure modes in aircraft landing systems by integrating the Multi-Attributive Border Approximation Area Comparison (MABAC) method with Prospect Theory under a q-Rung Orthopair Hesitant Fuzzy Set (q-ROHFS) environment. Traditional failure modes and effects analysis (FMEA) approaches often suffer from rigid weighting schemes, lack of sensitivity to expert hesitancy, and an inability to incorporate psychological factors such as risk aversion or subjective evaluations—especially in high-risk domains like aviation. To address these limitations, the proposed model incorporates human psychological behaviour and uncertainty in expert assessments. Prospect Theory is employed to capture decision makers’ risk attitudes and reference-dependent evaluations, while q-ROHFSs allow more flexible and comprehensive representation of hesitant and uncertain information. In this approach, Best-Worst Method (BWM) is used to determine the relative importance of risk factors for each decision maker, and their individual weights are obtained using TOPSIS-based similarity measures. A novel generalized q-ROHF Minkowski distance measure is also introduced and implemented to determine the weights of decision makers in the TOPSIS method, as well as to construct the prospect decision matrix and the distance matrix in the MABAC method, thereby enhancing computational precision. The applicability and effectiveness of the proposed method are demonstrated through a real-world case study on aircraft landing systems, and a sensitivity analysis is conducted to validate the robustness of the results. The findings highlight the method’s capability to reflect expert preferences more realistically and improve risk prioritization decisions in complex safety-critical systems.

    AtıfOpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    The role of cognitive flexibility and psychological well-being in the effect of mindfulness on problematic internet use

    Yazıcı Çelebi, Gülin; Güngör, Sunay; Kaya, Feridun

    With the widespread use of digital technologies today, the Internet has become an indispensable part of life but has also led to negative outcomes such as problematic internet use in some individuals. Problematic internet use is seen as a critical risk factor that negatively impacts individuals’ academic, social, and psychological functioning. Research has presented a lot of evidence in recent years that psychological resources, such as mindfulness, cognitive flexibility, and psychological well-being, play a noteworthy role in protecting individuals against such risky behaviors. This study aimed to examine the chain (serial) mediation roles of cognitive flexibility and psychological well-being in the effect of individuals’ mindfulness on problematic internet use. The majority of the participants in this study, using a cross-sectional, correlational design, were female (73.1%), their socio-economic level was moderate (70.4%), and their mothers (69.6%) and fathers (52.3%) had secondary school education. It was found that the majority of the participants used the Internet for 2–4 h a day (44.2%). Participant age ranged between 18 and 26 (Mean = 19.16, SD = 1.52). Data were collected using a Personal Information Form, the Mindfulness Scale, the Cognitive Flexibility Inventory, the Psychological Well-Being Scale, and the Problematic Internet Usage Scale. When the research findings were examined, it was found that mindfulness had a positive significant relationship with cognitive flexibility and psychological well-being. Negative significant relationships were observed between problematic internet use and mindfulness, cognitive flexibility, and psychological well-being. When the mediation analyses of the study were examined, it was determined that both cognitive flexibility and psychological well-being had mediation roles in the relationship between mindfulness and problematic internet use. In addition, it was revealed that cognitive flexibility and psychological well-being had a chain (serial) mediation role in the relationship between mindfulness and problematic internet use. It was determined that as the mindfulness levels of individuals increased, their cognitive flexibility and psychological well-being levels increased, too. On the other hand, it was observed that having high levels of mindfulness, cognitive flexibility, and psychological well-being decreased problematic internet use levels. In addition to these results, it was found that the relationship between mindfulness and problematic internet use was mediated by cognitive flexibility and psychological well-being. The findings obtained from the research were discussed in light of the literature, and various suggestions were made.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus8WoS7OpenAlex10
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ2
    Enzyme inhibitory, antioxidant, antimicrobial activities, and phenolic profiles of the methanol extract of Gelasia sericea an endemic species

    AYGÜL, İmdat; AKMEŞE, Osman; SEFALI, Abdurrahman; BALTACI, Cemalettin; ÖZ, Mehmet; FIDAN, Muhammed Said

    This study aimed to investigate, for the first time, the phytochemical composition, antioxidant, antimicrobial, and enzyme inhibitory properties of the methanolic extract of Gelasia sericea (Aucher ex DC.) Zaika, Sukhor. & N.Kilian. The extract demonstrated a moderate yield (6.55 g/100 g dry plant material) and was found to be rich in phenolic acids, particularly ferulic acid (17182.97 μg g-1), followed by caffeic acid, protocatechuic acid, and p-coumaric acid. Antioxidant analyses revealed high total phenolic (388.86 mg GA eq./100 g), total flavonoid (74.03 mg QE eq./100 g), and total antioxidant capacity (503.33 mg AA eq./100 g). The extract exhibited remarkable ABTS radical scavenging activity (95.99%, IC50 = 37.59 mg ml-1) and considerable ferric-ion reducing power (974.78 mg FeSO4 eq./100 g). Antimicrobial assays indicated moderate inhibitory effects, with stronger activity against Gram-positive bacteria (Staphylococcus aureus, Enterococcus faecalis) and the yeast Candida albicans, whereas Gram-negative bacteria were less susceptible. The extract’s MIC values ranged between 0.20-3.25 mg ml-1, and MLC values between 0.41-6.50 mg ml-1, which were higher than those of standard antibiotics. Enzyme inhibition assays revealed moderate activity against carbonic anhydrase II (IC50 = 0.0136 µg ml-1) and weak inhibition of cholinesterases and α-glucosidase, while α-amylase inhibition was relatively more pronounced (IC50 = 13350.00 µg ml-1). Overall, these findings highlight G. sericea as a valuable natural source of phenolic acids and antioxidants, with promising potential for applications in functional foods, nutraceuticals, and phytopharmaceuticals. However, the relatively limited antimicrobial and enzyme inhibitory activities suggest the need for further studies on bioavailability, in vivo efficacy, and compound isolation to optimize its practical applications.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Optimizing CPR performance: the role of body composition and ergonomic positioning

    Aygun, Tayfun; Karaoglu, Olcay; Senturk, Hakan; Keskin, Arif; Yucel, Nurullah; Hekimoglu, Gulam

    Background: Quality cardiopulmonary resuscitation (CPR) is associated with improved survival rates in prehospital arrest cases. Although CPR guidelines emphasize compression depth, rate, and recoil, individual anatomical and biomechanical factors influencing CPR performance remain underexplored. This study aims to determine the optimal CPR position by focusing on individual positional conditions and anthropometric data to improve CPR effectiveness and guide team member selection in emergency scenarios. Methods: A cross-sectional study involving 123 paramedic associate degree students was conducted. Anthropometric measurements including upper extremity length, biceps circumference, and femur length were obtained. CPR performance was assessed using a feedback-capable mannequin, with data collected on compression depth, frequency, rhythm quality, and compression/decompression ratios. Positional parameters such as knee and hip angles, distance between knees, and distance from the mannequin were recorded and analyzed in relation to CPR outcomes. Results: Male participants demonstrated significantly higher CPR quality scores than females (65.09 ± 28.26 vs. 48.85 ± 27.11, p = 0.004). Positive correlations were found between BMI (r = 0.239, p = 0.008), upper extremity length (r = 0.364, p < 0.001), biceps circumference (r = 0.350, p < 0.001), and CPR quality metrics. A moderate inter-knee position (shoulder-width distance) provided superior compression depth and rhythm stability compared to narrow or wide positions (p < 0.001). Conclusion: Anthropometric and positional factors significantly influence CPR performance. Emergency team members with appropriate physical profiles (e.g., greater muscle mass, limb length, BMI) and adopting occupational ergonomic factors (e.g., moderate knee range, limited joint flexion) may improve CPR quality in the prehospital setting.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus1OpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleYayıncıda açık erişim2025Scopus SJRQ1
    Explainable artificial intelligence for rock discontinuity detection from point cloud with ensemble methods

    Günen, Mehmet Akif

    This study presents a framework for the semi-automatic detection of rock discontinuities using a three-dimensional (3D) point cloud (PC). The process begins by selecting an appropriate neighborhood size, a critical step for feature extraction from the PC. The effects of different neighborhood sizes (k = 5, 10, 20, 50, and 100) have been evaluated to assess their impact on classification performance. After that, 17 geometric and spatial features were extracted from the PC. Next, ensemble methods, AdaBoost.M2, random forest, and decision tree, have been compared with Artificial Neural Networks to classify the main discontinuity sets. The McNemar test indicates that the classifiers are statistically significant. The random forest classifier consistently achieves the highest performance with an accuracy exceeding 95% when using a neighborhood size of k = 100, while recall, F-score, and Cohen's Kappa also demonstrate high success. SHapley Additive exPlanations (SHAP), an Explainable AI technique, has been used to evaluate feature importance and improve the explainability of black-box machine learning models in the context of rock discontinuity classification. The analysis reveals that features such as normal vectors, verticality, and Z-values have the greatest influence on identifying main discontinuity sets, while linearity, planarity, and eigenvalues contribute less, making the model more transparent and easier to understand. After classification, individual discontinuity sets were detected using a revised DBSCAN from the main discontinuity sets. Finally, the orientation parameters of the plane fitted to each discontinuity were derived from the plane parameters obtained using the Random Sample Consensus (RANSAC). Two real-world datasets (obtained from SfM and LiDAR) and one synthetic dataset were used to validate the proposed method, which successfully identified rock discontinuities and their orientation parameters (dip angle/direction).

    AtıfScopus15WoS15OpenAlex19
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  • MakaleAçık Erişim2025Scopus SJRQ2
    A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients

    Tek, Nilüfer Acar; Koçak, Tevfik; Yeşil, Süleyman; Sözen, Tevfik Sinan

    Background: An accurate calculation of energy expenditure (REE) is necessary for estimating energy needs in malign prostate cancer. The purpose of this research was to evaluate the accuracy of the established novel equation for predicting REE in malign and benign prostate patients versus the accuracy of the previously used predictive equations based on REE measured by indirect calorimetry. Methods: The study was conducted as a cross-sectional case-control study and between December 2020 and May 2021 with 40 individuals over the age of 40 who applied to the Urology Clinic of Gazi University Faculty of Medicine. Subjects with 41 malign prostate and 42 benign prostate patients were both over the age of 40 (65.3 ± 6.30 years) and recruited for the study. Cosmed-FitMate GS Indirect Calorimetry with Canopyhood (Rome, Italy) was used to measure REE. A full body composition analysis and anthropometric measurements were taken. Clinical trial number: Not applicable. Results: Malign prostate group PSA Total and measured REE values (4.93 ± 5.44 ng/ml, 1722.9 ± 272.69 kcal/d, respectively) were statistically significantly higher than benign group (1.76 ± 0.73 ng/ml, 1670.5 ± 266.76 kcal/d, respectively) (p = 0.022). Malign prostate group (MPG) and benign prostate group (BPG) have the highest percentage of the accurate prediction value of Eq. 80.9% (novel equation MPG) and 64.2% (novel equation BPG). The bias of the equations varied from − 36.5% (Barcellos II Equation) to 19.2% (Mifflin-St. Jeor equation) for the malign prostate group and varied from − 41.1% (Barcellos II Equation) to 17.7% (Mifflin-St. Jeor equation) in the benign prostate group. The smallest root mean squared error (RMSE) values in the malign and benign prostate groups were novel equation MPG (149 kcal/d) and novel equation BPG (202 kcal/d). The new specific equation for malign prostate cancer: REE = 3192,258+ (208,326* body weight (WT)) - (20,285* height (HT)) - (187,549* fat free mass (FFM)) - (203,214* fat mass (FM)) + (4,194* prostate specific antigen total (PSAT)). The new specific equation for the benign prostate group is REE = 615,922+ (13,094*WT). Bland-Altman plots reveal an equally random distribution of novel equations in the malign and benign prostate groups. Conclusions: Previously established prediction equations for REE may be inconsistent. Utilising the PSAT parameter, we formulated novel energy prediction equations specific to prostate cancer. In any case, the novel predictive equations enable clinicians to estimate REE in people with malign and benign prostate groups with sufficient and most acceptable accuracy.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus1WoS1OpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ4
    Evaluation of Statistical Regions According to Preventive Health Service Indicators by Multidimensional Scaling and MOORA Methods

    Köse, Aslı

    Objective: This study aims to evaluate the positions of statistical regions from 2020 to 2022 based on preventive healthcare indicators and rank them by healthcare performance. Methods: Statistical regions’ positions were determined using multidimensional scaling analysis with SPSS 21 software. The MOORA ratio method was employed to rank statistical regions based on their performance scores derived from preventive health service indicators. The analysis was conducted using Microsoft Excel. Results: The highest average visits to physicians per capita in primary care was 4.11 (±0.65) in 2022, while the lowest was 2.95 (±0.49) in 2021. The number of family health centers peaked at 2266.25 (±1236.6) in 2020 and dropped to its lowest at 2228.08 (±1282.74) in 2021. The top-performing regions according to MOORA were the East Black Sea in 2020, Aegean in 2021, and West Marmara in 2022, while Southeast Anatolia consistently ranked 11th across all three years. Conclusion: There was an increase in follow-up and vaccination rates, among the indicators of preventive health services at the statistical region level, in 2021-2022 compared to 2020. Despite having the characteristics of a developed region, Istanbul ranked last in 2020 and 2022 according to performance scores.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfOpenAlex1
    ScopusTR Dizinİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Casein Supplementation Timing and Exercise Performance in Soccer Players: Pre-Sleep vs. Post-Exercise Intake—A Randomized Controlled Trial

    Bayrakdaroğlu, Serdar; Ateş, Zeynep Hazal; Ceylan, Halil İbrahim; Kul, Murat; Muntean, Raul Ioan; Dhahbi, Wissem

    Background: Nutrient timing strategies may influence recovery and performance in athletes; however, the effects of ingesting casein protein before sleep versus immediately after exercise remain unclear. This study compared the acute effects of pre-sleep and post-exercise ingestion of casein on high-intensity anaerobic performance in highly trained soccer players. Methods: Twenty-four highly trained male soccer players (mean age: 20.6 ± 1.8 years) were randomly assigned to three groups: post-exercise casein ingestion group (PECIG; n = 8), pre-sleep casein ingestion group (PSCIG; n = 8), and control group (CG; n = 8). Following a standardized high-intensity resistance training protocol, participants consumed 30 g of micellar casein dissolved in 300 mL of water either immediately after exercise or 30–60 min before bedtime. Performance was assessed using the Countermovement Jump (CMJ), the Illinois Agility Test (IAT), and the Running-based Anaerobic Sprint Test (RAST), which were conducted both before and 24 h after the training session. Results: Repeated-measures ANOVA revealed significant group-by-time effects for CMJ (F = 8.21, p = 0.002, η2p = 0.36) and RAST performance variables, including peak power (F = 6.94, p = 0.003, η2p = 0.32), mean power (F = 7.42, p = 0.002, η2p = 0.34), and fatigue index (F = 5.87, p = 0.008, η2p = 0.28). Post hoc analyses showed that PSCIG significantly improved CMJ (Δ = +1.45 cm; p < 0.001, d = 2.04) and RAST mean power (Δ = +125.14 W; p = 0.002, d = 1.55) compared with the control condition. PECIG significantly enhanced RAST peak power (Δ = +205.79 W; p = 0.001, d = 1.64), mean power (Δ = +128.43 W; p = 0.013, d = 1.24), and fatigue index (Δ = +4.12 W/s; p = 0.010, d = 1.29) relative to CG. No performance differences were observed between PSCIG and PECIG timing conditions (all p > 0.05). Conclusions: Both pre-sleep and post-exercise casein ingestion enhanced anaerobic performance in highly trained soccer players, with each timing method favoring different performance outcomes. However, neither strategy demonstrated superiority over the other, suggesting that casein timing may be flexibly applied according to athletes’ preferences and training contexts.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus1WoS1OpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ3
    A comprehensive analysis of the effect of BaO incorporation on Gamma-Ray attenuation characteristics in SiO₂-B₂O₃-SrO-ZrO₂ glass systems

    Kaya, Selim

    This work presents an analysis of the effect of BaO incorporation on the gamma-ray attenuation properties of systematically evaluated SiO₂-B₂O₃-SrO-ZrO₂ glass matrices. Radiation shielding parameters determined using XCOM and EGS4 calculation codes were compared. There was an increase in glass density from 5.84 g/cm3 to 6.32 g/cm3 when the BaO content rose from roughly 10% to 40%. Using sophisticated WinXCom and EGS-4 calculations, the mass attenuation values (µ/ρ) of BaO doped SiO₂-B₂O₃-SrO-ZrO₂ glass systems (abbreviated BaSiBSZ) were found. This study systematically and thoroughly evaluated the effect of BaO integration on the radiation shielding capabilities of the glass system over a wide range of gamma-ray photon energies, specifically between 59.5 keV and 1332 keV. Initially, HVL (half-value layer) and MFP (mean free path) values were derived from the calculated mass attenuation coefficients. The evaluation of several crucial shielding parameters, including RPE, Zeff, ΣR, and kγ, came next. The steady reduction of SrO oxide concentration and substitution of BaO in BaSiSBZ glass systems resulted in notable modifications in radiation protection properties. The BaSiBSZ glass systems showed a similar decrease in both HVL and MFP at a constant energy level as the BaO doping concentration was progressively raised. Concurrently, a notable enhancement was noted in RPE, Zeff, ΣR, and kγ coefficients. The results demonstrate that higher BaO concentrations greatly enhance the material's radiation-shielding capabilities, enhancing both photon and neutron attenuation and bolstering the overall performance of the glass system.

    AtıfScopus8WoS8OpenAlex9
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  • MakaleYalnız künye2025Scopus SJRQ3
    Inhibition Effect of Cordyceps sinensis (C. sinensis) Mycelium on Some Metabolic Enzymes and Investigation of Antioxidant Properties

    Balcı, Neslihan

    Cordyceps sinensis (CS), a traditional medicinal fungus, is a rich source of bioactive metabolites with pharmacological potential. This study investigated the inhibitory effects of CS mycelium on human carbonic anhydrase isoenzymes I and II (hCA I and hCA II) and acetylcholinesterase (AChE), as well as its antioxidant properties. Enzyme inhibition was assessed using spectrophotometric methods, whereas antioxidant capacity was evaluated by DPPH, ABTS, CUPRAC, FRAP, and Fe3⁺-reducing assays. LC-MS/MS analysis identified key secondary metabolites, including apigenin, apigenin-7-glucoside, (+)-taxifolin, dihydrokaempferol, p-coumaric acid, salicylic acid, and L-theanine, with apigenin as the major constituent. CS strongly inhibited hCA I (IC50 = 1.11 µg/mL) and hCA II (IC50 = 1.77 µg/mL), exceeding the potency of acetazolamide, and also showed relevant AChE inhibition (IC50 = 8.00 µg/mL), comparable to tacrine. Antioxidant assays revealed moderate DPPH activity but strong ABTS and CUPRAC reducing capacities, indicating the structural contributions of flavonoids and phenolic acids. These findings suggest that CS possess dual bioactivity through enzyme inhibition and antioxidant effects, highlighting its therapeutic potential against neurodegenerative and oxidative stress–related diseases.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    ScopusWeb of Scienceİncele
  • MakaleYalnız künye2025Scopus SJRQ2
    Oriental beech (Fagus orientalis L.) steaming condensate: phenolic composition and functional activities

    Akmeşe, Osman; Sivrikaya, Hüseyin; Baltacı, Cemalettin

    This study presents a comprehensive investigation of the bioactive properties of the condensate formed during the steaming treatment of beech wood (Fagus orientalis L.). The phenolic compound profile, antioxidant capacity, enzyme inhibition, and antimicrobial activity of the condensate were evaluated using multiple analytical methods. Rich in total phenolic content (339.20 mg GAE/g) and flavonoid levels (79.74 mg QE/g), the condensate exhibited strong reducing power in the ferric reducing antioxidant power assay (FRAP), while demonstrating moderate radical scavenging activity in the DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS (2,2′-azinobis (3-ethylbenzothiazoline 6-sulfonic acid)) tests. In antimicrobial assessments, the condensate was found to be effective against Gram-positive bacteria, Staphylococcus aureus and Bacillus cereus as well as Candida albicans as a pathogen fungus, while showing lower activity against Gram-negative bacteria. Its antifungal efficacy was found to be notable when compared to nystatin. Although the IC₅₀ value of the condensate in α-amylase inhibition assays (1320.00 µg/mL) was weaker than that of the reference inhibitor acarbose (33.26 µg/mL), the results indicate its potential as a plant-based enzyme inhibitor candidate. Fourier transform infrared (FTIR) spectroscopy revealed characteristic peaks associated with lignin derivatives, carbohydrates, and ester bonds in the condensate. LC–MS/MS analyses identified chlorogenic acid (1581.65 µg/g) as the major phenolic compound, along with ferulic acid and rosmarinic acid. Beech steaming condensate stands out as a valuable bioactive resource in the context of industrial by-product valorization. With its antioxidant, antimicrobial, and enzyme-inhibitory properties, it holds promising potential for applications in the food preservation, pharmaceutical, and cosmetic industries. These findings may contribute to the sustainability of the forest industry from a circular economy perspective.

    AtıfOpenAlex1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Re-evaluation of excavation class limits for underground excavations based on new data

    Gurocak, Zulfu; Kaya, Ayberk; Kanik, Mustafa; Alemdag, Selcuk

    Many researchers have proposed empirical excavatability classifications to easily and quickly assess rock masses. These classifications mostly apply to surface excavations, while those for underground excavations are limited. Updating the classifications proposed for underground excavations based on new data is important in terms of eliminating the deficiencies in this regard. This study determined the engineering properties (RMR, Q, GSI), rock material strengths, and in-situ excavation classes of 16 underground rock masses. The new data were compared with excavation classifications from various researchers and empirical classes. The study found that empirical classifications for surface conditions are not applicable for underground. Excavation is more challenging in underground conditions due to stress from overburden. While excavation classes align for good to very good rock masses in both conditions, there is no perfect match for medium, weak, and very weak rock masses for underground. The study suggests that for underground excavation classes (blasting, hammer&blasting, hammer, and digging), both RMR89 and Q values should be used together to differentiate between classes. When using GSI for classification, the Is(50) value of the rock material should also be considered. The σcm parameter is the most critical in evaluating rock mass excavatability.

    ScopusWeb of SciencePubMedİncele
  • MakaleAçık Erişim2025Scopus SJRQ3
    The relationship between internet and smartphone addiction and body mass index: The mediating role of eating behaviors

    Türkkan, Tuğba; Bülbül, Kenan; Yilmaz, Hacı Ömer; Meriç, Çağdaş Salih

    This research was conducted determine the mediating role of eating habits in the effect of internet and smartphone addiction on body mass index. The study group consisted of 604 individuals aged between 18 and 45 years (Mean(Age) = 21.07, SD = 3.00). Data were collected using Young Internet Addiction Scale, Smartphone Addiction Scale Short Form and Three-Factor Eating Questionnaire. Findings show positive correlations between internet addiction and smartphone addiction with uncontrolled eating, cognitive restraint and emotional eating behavior. Internet and smartphone addiction were determined to positively predict emotional eating behavior, uncontrolled eating behavior and cognitive restraint. The direct effect and total effect of internet addiction on body mass index were insignificant. However results show that both smartphone and internet use by individuals affect body mass index mediated by eating behavior. This is the first study showing that smartphone and internet use both affected body mass index mediated by eating behavior. Research results emphasise the threat of addiction on physical health and suggest that educational and cognitive dietary interventions can contribute to healthy eating habits. Additionally, considering the internet may be used as an emotion regulation strategy, intervention programs may focus on developing emotion regulation skills aiming to develop coping ability for negative emotions to reduce emotional or uncontrolled eating.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus4WoS5OpenAlex7
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ1
    Preserving local gastronomy as cultural heritage in Türkiye: a qualitative study on sustainable valorization of fethiye wedding foods

    Özdemir, Özcan; Akyürek, Suat; Bahar, Ozan

    Food and beverages are integral elements of cultural heritage, reflecting societies’ histories, identities, and values. However, globalization and changing lifestyles have diminished the diversity of traditional cuisines, posing a threat to their preservation. Showcasing these culinary traditions, particularly in tourism destinations, can contribute to raising awareness and safeguarding cultural heritage. This study investigates the traditional wedding foods and table customs of Fethiye, which are at risk of being forgotten, and explores their potential as tourism assets. A qualitative research design was applied, combining semi-structured interviews with local experts and direct observations at wedding ceremonies. The findings reveal that Fethiye’s gastronomic traditions hold significant potential for sustainable tourism development. The study concludes by offering practical recommendations and highlighting the importance of community participation in preserving culinary heritage.

    AtıfOpenAlex3
    Scopusİncele
  • MakaleAçık Erişim2025Scopus SJRQ3
    Effects of Varying Ratios of Hawthorn Fruit Extract on Nesfatin-1, GLP-1 and cTnI Response in Streptozotocin-induced Diabetic Rats

    Özcan, G. Böyük; Kaya, H.

    Background: The aim of this study was to investigate the ef fects of Hawthorn (Crataegus oxyacantha) Fruit Extract on the response of nesfatin-1, Glucagon-like peptide 1 (GLP-1) and cardiac troponin I (cTnI) in STZ-induced diabetic rats. Methods: This study utilized 64 adult male Wistar albino rats, aged 8-10 weeks and weighing an average of 195-215 g. Eight groups were randomly selected, each comprising eight rats designated as Control (C), H100, H200, H300; Diabetes Control (DC), DH100, DH200, DH300. Blood samples were collected from the tail vein (vena caudalis) of all individuals on days 0 and 21 of the research. The serum levels of Nesfatin-1, GLP-1 and cTnI were quantified and assessed using the ELISA technique. Result: In diabetic groups, the increase in serum mean nesfatin-1 and cTnI levels was most pronounced in DC groups, while the most significant decrease due to increased HFE supplementation was observed in DR200 groups (p<0.01); whereas in diabetic groups, the decrease in serum mean GLP-1 levels was observed in DC group, while the most significant increase due to increased HFE supplementation was detected in DG200 group. As a result, it was concluded that 200 mg/kg RPE administration to healthy and di abetic rats di d not cause any side eff ects. It was concluded that HFE, which has an anti-diabetic eff ect by regulating the inflammatory response that plays a role in the development of diabetes, decreasing nesfatin-1 levels and increasing GLP-1 levels, may be useful in supporting the impaired pancreatic beta cell function that occurs in diabetes.

    • SDG 3 · Sağlık ve Kaliteli Yaşam
    AtıfScopus1WoS1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ2
    Navigating stress with creativity: The moderating role of conflict-induced creativity on job satisfaction among entrepreneurs

    Özsungur, Fahri; Bekar, Fevziye

    Background: Entrepreneurs frequently encounter high levels of job stress, which can undermine their job satisfaction. Although the negative consequences of stress are well-known, less attention has been paid to the role of Conflict-Induced Creativity in buffering these effects. Objective: This study investigates how Conflict-Induced Creativity moderates the relationship between job stress and job satisfaction among entrepreneurs, addressing a gap in understanding adaptive mechanisms in high-pressure work environments. Methods: Using a quantitative design, data were collected from 453 entrepreneurs through convenience sampling. Statistical analyses included factor analyses, correlations, regressions, and moderation testing via PROCESS MACRO in SPSS v.22. Results: Validated scales assessed job satisfaction (α = 0.934), job stress (α = 0.919), and Conflict-Induced Creativity (α = 0.832). Job stress negatively predicted job satisfaction (β = −0.126, p < 0.001), while Conflict-Induced Creativity emerged as a strong positive predictor (β = 0.688, p < 0.001). Moderation analysis confirmed that Conflict-Induced Creativity significantly buffered the adverse effects of stress on satisfaction (b = 0.147, 95% CI [0.048, 0.245], p < 0.05). Conclusion: Conflict-Induced Creativity plays a protective role in stressful entrepreneurial contexts. Practically, fostering a work culture that supports Conflict-Induced Creativity can enhance resilience and job satisfaction among entrepreneurs, offering actionable insights for leadership development, training programs, and organizational policy.

    • SDG 8 · İnsana Yakışır İş ve Ekonomik Büyüme
    AtıfOpenAlex1
    ScopusWeb of SciencePubMedİncele
  • MakaleYalnız künye2025Scopus SJRQ3
    One-step kinetic analysis of Listeria innocua growth as a surrogate for Listeria monocytogenes on arugula leaves with background microbiota: model development and validation

    Ozturk, Samet

    This study investigated the growth kinetics of L. monocytogenes and L. innocua on fresh arugula leaves under abusive conditions, considering the presence of background microbiota (BM) including (APC (Aerobic Plate Count), TPC (Total Psychrotrophic Count), and LAB (Lactic Acid Bacteria)). Additionally, the feasibility of using L. innocua as a surrogate for L. monocytogenes was evaluated for industrial practices. Predictive models were developed to assess the effect of temperature and time on the growth kinetics of both microorganisms. Experiments were conducted in triplicate to observe growth kinetics at temperatures from 5 to 35°C. The growth curves were analyzed using one-step analysis with the USDA IPMP-Global Fit software, employing the Huang full/no-lag phase growth as the primary models and the Huang sub-optimal (HSRM) and Ratkowsky sub-optimal square-root as the secondary models. An additional set of isothermal data, collected at 15°C and 20°C, was used to validate the models. Results showed that the minimum growth temperatures were 2.91±0.50°C for L. monocytogenes and 2.88±0.50°C for L. innocua, while 2.05±0.89, 1.93±0.98 and 3.55±1.97°C for APC, TPC and LAB, respectively. The specific growth rates of L. monocytogenes and L. innocua ranged from 0.01 to 0.93 h⁻¹. The root mean square error (RMSE) of model validation and development was less than 0.3 log CFU/g, indicating that the combination of the Huang growth model with HSRM could accurately predict the growth of L. monocytogenes under abusive conditions. Validated models can provide useful input to quantitative risk assessment tools to predict the growth of L. monocytogenes on arugula leaves in the presence of BM during distribution or storage. The findings of this study support the use of L. innocua with R2=0.961 as a suitable surrogate in industrial practices for fresh produce.

    • SDG 2 · Açlığa Son
    AtıfScopus1WoS1
    ScopusWeb of Scienceİncele
  • MakaleAçık Erişim2025Scopus SJRQ3
    THE IMPACT OF CLEAN ENERGY RESEARCH AND DEVELOPMENT, HEALTH EXPENDITURE, AND ECONOMIC GROWTH ON ENVIRONMENTAL QUALITY

    Al, I.; Akbulut Yildiz, G.; Yildiz, B.

    This study investigates the impact of clean energy technologies, health expenditure, and economic growth on environmental quality using the Fourier Engle-Granger cointegration method for the United States in the 1974–2022 period. The Fourier approach successfully identifies gradual structural shifts and nonlinear dynamics in long-run relations, which are frequent in macroeconomic and environmental time series but are typically overlooked by standard approaches. The findings show that clean energy research and development investment—specifically in energy efficiency, renewable resources, and nuclear technologies—and health expenditures significantly positively impact environmental quality. However, economic growth has a negative impact environmental quality in the United States. These results highlight the necessity of integrating environmental objectives into energy and health policy and prioritizing investment in sustainable technologies to achieve ecological sustainability in the long term.

    ScopusWeb of Scienceİncele