Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(11)
- Gül, Abdulkadir(10)
- Baltacı, Cemalettin(9)
- Kaya, Selim(9)
- Kurnaz, Muammer(9)
- Ozturk, Samet(9)
- Çelik, Necati(9)
- Tuncer, Metin(8)
- Altuner, Elif Esra(7)
- Aydin, Aydanur(7)
- Barut, Abdulkadir(7)
- Cin, Aynur(7)
- Günen, Mehmet Akif(7)
- Ozdes, Duygu(7)
- Zaman, Tolga(7)
- Araz, Onur(6)
- Baltaci, Cemalettin(6)
- Bayrakdaroglu, Serdar(6)
- Bozbeyoglu, Pinar(6)
- Demirağ, Hatice(6)
- Karpuz, Ömer(6)
- Liu, Shuxiang(6)
- Merdan, Mehmet(6)
- Yilmaz, Coskun(6)
- Duran, Celal(5)
- Gulcin, Ilhami(5)
- Koçak, Tevfik(5)
- Pala, Fahrettin(5)
- Pilatin, Abdulmuttalip(5)
- Söyler, Mehmet(5)
- Topal, Fevzi(5)
- Tuncer, Gülsüm Zekiye(5)
- Türkkan, Tuğba(5)
- Uysal, Turan(5)
- Yapici, Ismail(5)
- Zengin, Gokhan(5)
- Çam, Alper Veli(5)
- Öztürk, Serkan(5)
- Şan, Murat(5)
- Şimşek, Ahmet Bahadır(5)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Health sciences students’ attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study
Unal, Cihan; Şahin, Selim
This study investigates health sciences students’ attitudes toward artificial intelligence (AI) and the implications for ethical awareness, clinical decision-making, and public health. A cross-sectional survey was conducted between April 27 and May 15 2025, with 668 students from five departments at Gümüşhane University, employing the validated Artificial Intelligence Attitude Scale, which measures benefits, risks, and use, alongside 12 binary-response items assessing ethical, clinical, and public health judgments. Descriptive statistics, t-tests, ANOVA, and logistic regression analyses were applied. Findings indicate that students perceive AI as highly beneficial (M = 4.05) but also associate it with notable risks (M = 2.52; where lower scores indicate a higher level of perceived risk due to reverse coding). Logistic regression analyses revealed that risk perception (reverse-coded; higher scores indicating lower perceived risk) was the most consistent predictor across all dimensions. Specifically, students with lower perceived risk were significantly more likely to reject concerns regarding patient privacy (OR = 2.55, 95% CI [2.03–3.21], p < 0.001), dismiss the idea that relying on AI instead of human expertise is problematic (OR = 1.57, 95% CI [1.25–1.96], p < 0.001), and reject the notion that AI systems may harm public health (OR = 2.52, 95% CI [1.98–3.20], p < 0.001). While participants endorsed AI’s potential in enhancing patient safety, chronic disease management, and preventive care, they expressed significant concerns about privacy, legal responsibility, and a potential weakening of patient–clinician communication. Gender, academic discipline, and prior AI use further differentiated attitudes. The results highlight a dual perception of AI as both an opportunity and a threat, emphasizing that successful integration in healthcare requires not only technical competence but also ethical, legal, and communicative safeguards.
AtıfScopus1WoS1OpenAlex2İncele - Kitap BölümüYalnız künye2026Scopus SJRQ4Rethinking IoT Security in the Era of Quantum Computing: Literature Reviews
Hanna, Yacoub; Tonyali, Samet; Harrilal-Parchment, Ricardo; Akkaya, Kemal
As cryptographically relevant quantum computers get scaled up and stabilized, traditional cryptographic systems are one step closer to being obsolete, necessitating the development of robust and future-proof alternatives. This chapter investigates the landscape of quantum-based algorithms and protocols, with a focus on their applicability to the Internet of Things (IoT) ecosystem, ranging from low-power edge sensors to more capable embedded systems. The theoretical basis and practical applications of Quantum Resistant Cryptography (QRC) and Quantum Key Distribution (QKD) are analyzed, examining their computational requirements, energy consumption, scalability, and integration possibilities in IoT architectures with limited resources. In particular, how various Post-Quantum Cryptography (PQC) schemes, such as lattice-based, code-based, and hash-based cryptography, perform across different classes of IoT hardware is discussed. The chapter further investigates ongoing standardization efforts, implementation obstacles, and innovative solutions specifically designed for heterogeneous IoT environments. Moreover, the feasibility of QKD in resource-constrained scenarios is examined, including low-power QKD implementations for embedded and edge devices in IoT networks. Also, the trade-offs between security and efficiency are discussed, considering real-world deployment scenarios and resource constraints. Furthermore, a comprehensive threat model is presented, and the security of current literature is analyzed based on this model. By combining insights from recent literature, a comprehensive understanding of how quantum-based security methodologies can be integrated across the IoT spectrum is provided to guarantee long-term security resilience in the era of quantum computing. This chapter aims to serve as a foundational reference for researchers and practitioners seeking to build quantum-resistant or quantum-enabled IoT infrastructures.
AtıfScopus1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ3Energy Consumption in the EU: The Role of Productivity and Efficiency-Driven Technology; [AB’de Enerji Tüketimi: Üretkenlik ve Verimlilik Odaklı Teknolojinin Rolü]
Çakır, Mehmet Ali; Ökte, Mehmet Kutluğhan Savaş
This study investigates how productivity and productivity-intensive technologies affect energy consumption in selected EU countries from 1996 to 2021. Despite technological progress, fossil fuels still dominate, posing environmental and economic concerns. Using the AMG method, results show that multifactor productivity significantly reduces energy use, while productivity-intensive technologies offer smaller but meaningful reductions. In contrast to prior research linking technology to higher energy demand, this study highlights the importance of efficiency-focused innovation. Findings support the EU’s 2030 energy reduction target and suggest policymakers should prioritise productivity-intensive technologies, on-the-job training, and digital tools to decouple growth from energy consumption.
- MakaleYalnız künye2026Scopus SJRQ3Determination of the Effects of Virtual Reality-Based Videos on Symptoms, Vital Signs and Comfort in Hemodialysis Patients
Coşar, Dilan Aktepe; Bingöl, Nuray
Introduction: This pioneering study aimed to examine the effects of virtual reality (VR)-based videos on symptoms, vital signs, and comfort levels in hemodialysis patients, offering an innovative approach to improving their quality of life. Methods: This randomized controlled pretest-posttest study included 54 hemodialysis patients treated at “X” Hospital between June 2024 and May 2025. Twenty-five patients were assigned to the intervention group, 25 to the control group, and 4 to a pilot group. Data were collected at baseline and after 8 weeks. Statistical analyses included t-tests, repeated measures ANOVA, Mann–Whitney U, and Friedman tests. Results: In the intervention group, Dialysis Symptom Index (DSI) scores decreased significantly (p < 0.05), and comfort levels increased significantly (p < 0.05) across all subscales of the Hemodialysis Comfort Scale Version II. Vital signs remained within normal ranges before and after the intervention. Conclusion: This study revealed that the use of virtual reality headsets significantly influenced dialysis symptom index scores and comfort levels. The intervention effectively reduced dialysis symptoms and significantly increased patient comfort. No significant differences were observed in vital signs.
AtıfScopus2WoS2OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ3A Comparative Study of 137Cs Dose Factors for Constant and Depth-dependent Soil Densities
Çelik, Necati; Akçay, Nilay; Çevik, Uğur
Accurate assessment of external radiation dose rates from 137Cs is essential for evaluating radiological risk in environmental and occupational settings. This study refines dose conversion coefficient calculations by incorporating depth-dependent soil density and addressing limitations in conventional methods that assume constant soil density. We calculated dose conversion coefficients for 137Cs in soil, considering both exponential and Gaussian distributions of activity concentration. Using two models, one with constant density and another with variable density as a function of depth, we compared dose rates to quantify the effect of soil density variations. Results indicate that dose rates are consistently higher when depth-dependent density is applied. The effect is more pronounced when 137Cs activity is distributed over larger depths (i.e., greater relaxation lengths) or when broader Gaussian distributions are considered. This suggests that assuming constant soil density may lead to underestimations of dose rates, especially in heterogeneous or compacted soils. Our findings emphasize the importance of accounting for density variability in dose calculations to enhance radiological risk assessments for areas contaminated with 137Cs.
- Kitap BölümüYalnız künye2026Plant-Mediated Synthesis of Functional Nanocomposites for Clean Energy and Environmental Sustainability
Özkan, Abdullah; Özkan, Vildan; Bozbeyoğlu, Pınar; Altuner, Elif Esra
Plant-mediated synthesis has emerged as a sustainable method for producing functional nanocomposites with diverse applications, including clean energy, photocatalysis, electrochemical storage, and environmental cleanup. This approach differs from traditional chemical processes, which often require harsh conditions; instead, plant-derived systems combine reduction, nucleation, stabilization, and assembly in a single reaction environment. Phytochemicals such as polyphenols, flavonoids, and proteins act as both reducing agents and structure-directing agents, enabling the formation of various materials under gentle conditions.
- MakaleYalnız künye2026Scopus SJRQ2Influence of Compton scattering and pair production in radiation shielding of Eu-doped Bi-2223 ceramics
Doğruer, Musa; Kaya, Selim
The gamma-ray attenuation behavior of europium (Eu)-doped Bi-2223 ceramic superconductors has been investigated in detail in this work in the photon energy range of 59.54 to 1332 keV. The WinXcom database was used to rigorously estimate the mass attenuation coefficients (μ/ρ), which are the main quantifiers of the probability of photon–matter interaction. Stochastic modeling based on the EGS4 Monte Carlo transport technique was then used to confirm the results. Key shielding metrics such as the mean free path (MFP), radiation protection efficiency (RPE), half-value layer (HVL), and gamma-ray kerma coefficients (kγ) are derived from these coefficients and offer information about the material’s inherent ability to dissipate or attenuate incident photon flux. Additionally, the effective atomic number (Zeff) was established to elucidate the role of compositional heterogeneity and atomic cross-section weighting in regulating photon absorption and scattering probabilities. Concurrently, the macroscopic fast neutron removal cross-sections (ΣR) were computed to measure the dual shielding capacity of the ceramics being studied against electromagnetic radiation and neutrons. The findings showed that although Eu doping led to a minor increase in the effective atomic number and μ/ρ values at lower photon energy, it also resulted in greater HVL and MFP values, particularly at higher energies. The total shielding performance decreases due to the decrease in bulk density, even though the addition of Eu results in better mass attenuation coefficients. The μ/ρ values of Eu-doped Bi-2223 ceramics exhibit high agreement and increase from 2.753 to 3.212 cm2 g−1 at 59.54 keV with increasing Eu content. These values were produced using EGS4 simulations and verified using WinXCOM in the 59.54–1332 keV energy range. This suggests that europium’s higher atomic number enhances photon absorption at lower energies. The study also demonstrates that the Eu-0 sample has the strongest neutron shielding capabilities and the highest radiation protection efficiency (RPE).
- MakaleAçık Erişim2026Scopus SJRQ1Institutional and relational underpinnings of vertical FDI spillovers in international buyer-supplier relationships: Insights from automotive suppliers
Nas, Tulay Ilhan; Sahin, Fatih; Golgeci, Ismail; Okan, Tarhan
This study takes a fresh approach to explore the mechanisms of foreign direct investment (FDI) spillovers in the context of emerging economy firms, specifically focusing on the Turkish automotive industry. Given emerging economy firms' inherent constraints in R&D and resources, FDI serves as a critical avenue for them to acquire technological and managerial knowledge. While previous literature has extensively analyzed spillovers from an economic perspective, our research introduces a neoinstitutional perspective in organizational sociology to understand how these spillovers manifest and influence productivity and innovation. Importantly, we examine the role of international buyer-supplier relationships, a key aspect in shaping spillover outcomes. In so doing, we draw on rich qualitative data from 7 Turkish direct and sub-suppliers of large automotive multinational enterprises (MNEs). Our findings underscore the significant influence of the institutional context and relational mechanisms on the effectiveness of FDI spillovers, revealing why anticipated positive effects may not always materialize. This study contributes to the existing literature by addressing the limitations of prior research and provides practical insights for policymakers in emerging economies, empowering them to leverage FDI for economic growth and organizational success.
- MakaleYalnız künye2026Scopus SJRQ1Comparison of Zn recovery prediction from carbonate ores with machine-learning methods
Erkan, Ilker; Günen, Mehmet Akif
This study addresses the challenge of predicting zinc (Zn) recovery from carbonate ores via sodium hydroxide (NaOH) leaching. This complex process influenced by variable ore composition, surface passivation effects, and nonlinear reaction dynamics, which complicate reagent optimization and process control in hydrometallurgical operations. To tackle this, a dataset containing 422 experimental observations was compiled from previous studies, incorporating ore composition and process parameters, such as NaOH concentration, leaching time, temperature, and solid-to-liquid ratio. Four regression models (decision tree, neural network, generalized additive model, and random forest) were trained and evaluated using performance metrics, such as coefficient of determination (R2), root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and symmetrical mean absolute percentage error (SMAPE). Among these, the random forest model achieved the best predictive accuracy, with R2 value of 0.8541 on the test set and the lowest error rates, demonstrating its effectiveness in capturing the complex relationships between input variables and Zn recovery. Explainable artificial intelligence, particularly SHapley additive exPlanations (SHAP) analysis, revealed that NaOH concentration, leaching time, and solid-to-liquid ratio had the most positive influence on Zn recovery, whereas elements such as Ca, Fe, and Pb had inhibitory effects. These findings align with known geochemical behavior and provide valuable insights for reagent optimization and process efficiency in leaching processes. This study demonstrates the practical potential of machine learning in mineral processing, offering a scalable framework for optimizing Zn recovery from non-sulfide ores and a data-driven approach to enhance decision-making in hydrometallurgical applications.
AtıfScopus3WoS3OpenAlex1İncele - MakaleYayıncıda açık erişim2026Scopus SJRQ1Boric acid-activated carbon derived from Scots pine sawdust for phenol removal: adsorption mechanism, linear and nonlinear kinetic and isotherm modeling, and artificial neural network prediction
Ozdes, Duygu; Turfan, Fatma Asya; Seker, Serdal; Kavgaci, Gonca; Onal, Yunus
In this study, a sustainable activated carbon was successfully prepared from Scots pine sawdust via boric acid activation (H3BO3-AC-SPS) and evaluated for phenol adsorption from aqueous solutions. The physicochemical characteristics of the adsorbent were investigated using FTIR, SEM-EDX, XRD, and BET analyses, while the effects of solution pH, contact time, adsorbent dosage, initial phenol concentration, temperature, ionic strength, and reusability without regeneration on the adsorption performance were systematically examined. H3BO3-AC-SPS exhibited excellent adsorption performance over a wide pH range (5–8), showed good tolerance to coexisting inorganic ions and organic contaminants, and retained appreciable adsorption efficiency over five consecutive adsorption cycles without regeneration. Phenol uptake increased with temperature, and NaOH enabled partial desorption of phenol. The adsorption kinetics and equilibrium data were analyzed using both linear and nonlinear regression approaches and comparatively evaluated based on the coefficient of determination (R2), sum of squared errors (SSE), and root mean square error (RMSE). The pseudo-second order kinetic model and the Langmuir isotherm exhibited the best predictive performance, with the Langmuir model estimating a maximum adsorption capacity of 65.4 mg g−1. The adsorption mechanism may involve π–π interactions, hydrogen bonding, pore filling, and hydrophobic interactions. In addition, an artificial neural network (ANN) model accurately predicted the adsorption behavior, yielding a high correlation coefficient (R = 0.9789). The applicability of H3BO3-AC-SPS was further demonstrated in stream water and mining wastewater. These findings demonstrate that boric acid activation is an effective strategy for converting Scots pine sawdust into a high-performance adsorbent and that integrating linear and nonlinear adsorption modeling with statistical error analysis provides a reliable framework for interpreting adsorption behavior. This journal is
- MakaleAçık Erişim2026Scopus SJRQ3The effect of mine waste ratio and curing duration on the mechanical properties of ground granulated blast furnace slag-based geopolymer mortars
Aksüt, Yavuz Selim; Nas, Evin; Sünnetçi, Kadir; Kaya, Yusuf
This study investigates the mechanical and microstructural behavior of ground granulated blast furnace slag (GGBFS)-based geopolymer mortars in which mining waste (MW) was used as a partial binder replacement (0–30%) under ambient water curing for 7–90 days. Increasing MW content reduced workability and slightly prolonged setting due to its coarser and less reactive characteristics. Mechanical performance improved with curing time and mixtures with moderate MW levels achieved the best strength and microstructural densification. Water absorption and porosity decreased with age, reflecting progressive gel formation. Scanning electron microscope–X-ray diffraction (SEM-XRD) analyses verified matrix densification and enhanced gel development at intermediate MW ratios. Overall, the findings show that controlled MW incorporation can optimize the balance between strength, pore structure and sustainability, enabling ambient cured GGBFS-based geopolymers without thermal curing. The study provides new insights by using MW as a binder phase replacement while preserving precursor chemistry, a rarely explored approach.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2026Scopus SJRQ2Investigating class granularity in historical aerial image segmentation: a comparative analysis of CNN and transformer-based models
Dihkan, Mustafa; Akbulut, Zeynep; Güler, Gülsena; Özdemir, Samed; Karsli, Fevzi
Historical aerial imagery acts as a crucial bridge to the pre-satellite era, becoming increasingly vital for quantifying long-term land cover changes and supporting retrospective environmental studies. This study presents a comprehensive comparison of CNN-based (DeepLabV3+, PSPNet, HRNet, ConvNeXt) and transformer-based (ViT, Swin Transformer, BEiT) architectures for semantic segmentation of historical aerial imagery. In particular, the potential of Transformer-based architectures for semantic segmentation of panchromatic historical aerial imagery in the context of increasing segmentation complexity remains underexplored. We assess how effectively each architecture handles increasing class granularity and captures finer-grained land-cover semantics. Experiments are conducted at three levels of detail: binary, three-class, and five-class segmentation. The dataset comprises panchromatic images from 1960, captured in Turkey. Precision, recall, F1-score, and intersection-over-union (IoU) metrics were employed to evaluate class-wise performance. In the binary ground and non-ground segmentation task, all architectures achieved mean F1-scores of 0.945–0.959 and mean IoU values of 0.905–0.921. In the three-class and five-class tasks, mean F1-scores ranged from 0.861–0.902 and 0.754–0.803, with mean IoU values of 0.777–0.831 and 0.623–0.682, respectively. In the three-class setting, ConvNeXt, Swin Transformer, and BEiT clustered towards the upper end of the mean metrics with only small differences among them. Increasing class granularity from three to five reduced mean performance across architectures, with decreases of up to 0.123 in mean F1-score and up to 0.176 in mean IoU. Across all classification levels, ConvNeXt consistently achieved higher performance, distinguishing itself specifically in the five-class task with the highest F1-scores and IoU values. ConvNeXt outperformed both the CNN-based baselines and Transformer-based models in the challenging building and road categories.
- MakaleAçık Erişim2026Scopus SJRQ3Chemical Profiling of Stachys cretica subsp. anatolica Rech. f. (Endemic) Essential Oils and their Methanol Extracts with Evaluation as Enzyme Inhibitors, Antioxidant, and Antimicrobial Agents
Öz, Mehmet; Fidan, Muhammed Said; Baltacı, Cemalettin; Akmeşe, Osman; Sefalı, Abdurrahman; Aygül, İmdat
Enzyme inhibition activities, phenolic compounds, antioxidant activities, bioactive compounds, antimicrobial activities, and chemical components of essential oil and methanol extracts obtained from the aerial parts of S. cretica subsp. anatolica were investigated. The main phenolic compounds of aerial parts were catechin, oleuropein, and epicatechin. The determined enzyme inhibitor activities highlight the potential of S. cretica subsp. anatolica as a source of bioactive compounds, particularly for carbonic anhydrase and cholinesterase inhibition. The essential oil and methanol extract exhibited remarkable activities against CA-II, AChE, and BChE, although they were less potent than standard inhibitors. The essential oils generally showed stronger antimicrobial activity compared to the 30% methanol extracts across most bacterial and fungal strains, as evidenced by minimum lethal concentration (MLC) and lower minimum inhibitory concentration (MIC) values and larger inhibition zones. Chloramphenicol used alone exhibited the highest antimicrobial efficacy, with the lowest MIC and MLC values and the largest inhibition zones. The essential oils of S. cretica subsp. anatolica were determined as esters, oxygenated sesquiterpenes, and aldehydes in aerial parts. The main components were found to be hexahydrofarnesyl acetone in the aerial parts.
AtıfScopus3İncele - MakaleYalnız künye2026Scopus SJRQ2‘An unforgettable night’: experiences and coping styles of young adult survivors of the earthquake
Yücel, İbrahim; Türkkan, Tuğba; Yoldaş, Nergiz; Duman, Münevver
This study aimed to find out the experiences and coping styles of young adults affected by the Kahramanmaraş-centered earthquakes that took place on 6 February 2023, during and after the earthquake. Qualitative research method and phenomenological approach were used in the study. In-depth interviews were conducted with 33 young adults who were selected using the purposive sampling technique. The interviews with earthquake survivors were conducted approximately two months after the earthquake and took place in the temporary housing facilities to which they had been relocated. The research findings showed that many young people experienced the night of the earthquake as an unforgettable night. It was also found that the support provided after the earthquake was inadequate to meet the needs of survivors. Certain changes occurred in the family relations and personality traits of survivors after the earthquake. Young adults experienced some difficulties after the earthquake and developed a series of coping mechanisms to overcome such difficulties. At the end of the research, recommendations are made for field workers and policy makers from a psychological perspective.
- MakaleYalnız künye2026Scopus SJRQ1Green Synthesis of Multifunctional Ag/ZnO Nanoparticles Using Vitis labrusca L. Extract: Bioactivity, Malachite Green Adsorption, and HMF Removal
Hammoudeh, Rama; Bozbeyoğlu, Pınar; Karpuz, Ömer; Gül, Abdulkadir; Ejder, Nebahat; Baltacı, Cemalettin
In this study, Ag/ZnO nanoparticles (Ag/ZnO NPs) were synthesized via a green route using Vitis labrusca L. extract and evaluated for their bioactive, environmental performance. BM-1 and BM-2 were prepared under different precursor/extract ratios and pH conditions to assess the influence of synthesis parameters. UV–Vis, FT-IR, XRD, HRTEM, DSC, and EDX analyses indicated the successful formation of Ag/ZnO nanostructures with distinct physicochemical features. HRTEM analysis determined that BM-1 exhibited an average particle diameter of 23.18 ± 11.84 nm, while BM-2 demonstrated a mean size of 6.14 ± 1.30 nm. The corresponding relative size-dispersion values were 0.261 for BM-1 and 0.045 for BM-2, indicating a more uniform particle size distribution for BM-2. Antioxidant assays showed that BM-2 exhibited the strongest overall antioxidant performance in DPPH, ABTS•⁺, Fe3+, and Cu2+ assays. Both NPs exhibited antibacterial activity against Gram-positive and Gram-negative bacteria and showed stronger effects than the grape extract alone. Cytotoxicity assays revealed dose-dependent inhibition in A549 and HeLa cancer cells, while lower toxicity was observed in normal ARPE-19 cells, suggesting cell-type-dependent biological response. In adsorption experiments, the NPs effectively removed malachite green, with isotherm analysis providing stronger support for the Langmuir model for BM-1 and comparable Langmuir and Freundlich fits for BM-2, while the pseudo-second-order model provided the best description of the adsorption kinetics. The maximum dye adsorption capacities were 85.5 mg/g for BM-1 and 101.3 mg/g for BM-2. Under optimum conditions (5.0 g/L NPs, 240 min), the highest HMF removal efficiencies reached 44.49% for BM-2 in standard aqueous solutions, whereas competitive matrix interactions in apple juice limited the maximum efficiency to 29.27%. Overall, this study highlights the value of integrating green synthesis, bioactivity, dye adsorption, and food-related contaminant removal within a single Ag/ZnO nanoplatform.
- MakaleYalnız künye2026Scopus SJRQ1Narrative empathy in the tourist guiding experience: a conceptual model linking emotional labor to narrative transportation
Akdu, Serap
Tour guiding facilitates tourists' cognitive and emotional immersion, yet the psychological mechanisms underlying the link between guides' emotional labor and tourists' engagement remain underexplored. This conceptual study examines how guides' emotional labor translates into experiential outcomes, offering theoretical and practical implications for tour guiding research and training. Drawing on Emotional Labor, Narrative Transportation, and empathy-oriented theories, the study reconceptualizes narrative empathy as a distinct tourist-internal psychological process operating as a mediating construct. Rather than representing simple emotional engagement, narrative empathy involves cognitive perspective-taking and affective resonance with the narrative world. The proposed model suggests that guides' emotional labor performance, exemplified by authentic emotion regulation strategies such as deep acting, is expressed through structured storytelling and narrative cues. This storytelling performance elicits narrative empathy in tourists, enhancing their cognitive and emotional engagement and facilitating narrative transportation. The process is influenced by interaction dynamics, prior expectations, and group dynamics, while performance indicators, such as tone of voice, body language, and dramatization, strengthen its effectiveness. These mechanisms contribute to higher tourist satisfaction and memorable experiences. By clarifying narrative empathy as the psychological mechanism connecting guide performance with tourist narrative transportation, this study advances tourism theory through a process-oriented conceptual framework and provides practical insights for guide training.
- MakaleAçık Erişim2026Scopus SJRQ4Cloning and biochemical characterization of a novel GH1 β-glucosidase from thermophilic bacterium, Anoxybacillus flavithermus DSM 2641T
Akgeyik, Aytul Uzun; Akyildiz, Esma; Karaoglu, Hakan; Beris, Fatih Saban
β-glucosidases belong to the class of glycoside hydrolases (GHs) and can mediate the cleavage of β-1-4 glycosidic bonds in alkyl or aryl-β-D-glucosides, amino, cyanogenic glucosides, and oligo-or disaccharides. The gene encoding β-glucosidase of Anoxybacillus flavithermus DSM2641T was subcloned and expressed in E. coli BL21 Star(DE3) cells with pET100 Directional TOPO Expression Kit. The recombinant AFBGL was purified by a Ni-NTA affinity chromatography. The enzyme was 53 kDa and had 5.13 × 105 µmol/min/mg protein of Vmax and 422.3 µM of Km towards p-nitrophenyl β-D-glucoside as a main substrate. The optimum temperature and pH of the purified enzyme were 65°C and 6.8, respectively. We also determined kinetic parameters of AFBGL against the other artificial substrats, pNPC, pNPX, and oNPG. The enzyme had the Vmax and Km for 5.13 × 105 µmol/min/mg protein and 0.42 mM for pNPG, 0.007 µmol/min/mg protein and 0.19 mM for pNPC, 0.01 µmol/min/mg protein and 11.97 mM for pNPX, 0.06 µmol/min/mg protein and 0.134 mM for oNPG, respectively. AFBGL's substrate affinity was found to be more directed towards oNPG. Although 0.5 mM Mg2+ increases the enzyme's activity 1.6-fold, higher concentrations of Mg2+ and the presence of K+, Fe2+, Mn2+, Zn2+, Cu2+, and Al3+ decreases its activity. AFBGL retained 50% of the initial activity towards pNPG for 25 min and the activity was not detected after 225 min. According to amino acid motifs, AFBGL belongs to family 1 of glycosylhydrolase and 4/7 super family. So, AFBGL is a member of GH1, as the amino acid sequence contained a GH1 specific domain.
- MakaleAçık Erişim2026Scopus SJRQ2Integrative taxonomy reveals the first record of the genus Carinostoma Kratochvíl, 1958 (Opiliones: Nemastomatidae) in Turkey; [Первая находка сенокосцев рода Carinostoma Kratochvíl, 1958 (Opiliones: Nemastomatidae) в Турции, обнаруженная с помощью интегративного подхода в таксономии]
Kurt, Pınar; Koç, Halil
Based on both morphological and molecular data, the genus Carinostoma Kratochvíl, 1958 is recorded for the first time from Turkey. Detailed illustrations of the dorsal body structure, chelicera, and pedipalp are provided. Additionally, an 835 bp fragment of the 28S rRNA gene was sequenced. The systematic position of the species and its genus within the family Nemastomatidae was determined based on Maximum Likelihood (ML) and Bayesian (BEAST) analyses.
- BildiriYalnız künye2026Scopus SJRQ4Dynamic Analysis of a High-Rise Building Under Near-Fault and Far-Fault Loads Considering Soil-Structure Interaction
Kaya, Dilek; Cakir, Tufan; Ozturk, Kasif Furkan; Ilki, A.; Goksu, C.; Cinar, T.; Erdik, M.
Earthquakes that have occurred in our country and various countries around the world over the past 30 years have clearly indicated that the complex relationship between the soil, structure, and earthquake requires further research. This situation has shown that building behavior under dynamic loads can vary depending on parameters such as structural geometry, foundation soil system characteristics, and earthquake characteristics. Due to the fact that near-fault movements contain higher accelerations and higher velocity components compared to far-fault movements, high-rise structures may exhibit relatively more sensitive behavior under such loads and may be negatively affected by these earthquake contents. In this context, the aim of this study is to investigate the dynamic behavior of a 12-story building system under near-fault and far-fault ground motions, taking into account different soil properties. To this end, three-dimensional finite element models were first created for the 12-story building system, considering both fixed and flexible foundation conditions. Modal analyses were performed using finite element models created with ANSYS software, and the obtained mode periods were compared with those obtained from analytical models. Subsequently, the dynamic behavior of the 12-story building system was investigated using relative displacement, stress, and acceleration responses obtained from time-domain analyses conducted for different soil systems and fixed foundation conditions. Comparisons of the dynamic responses showed that the structural dynamic responses could be influenced not only by the soil-structure interaction system but also by nearby and distant fault earthquakes.
- MakaleAçık Erişim2026Scopus SJRQ1Thermochemical Valorization of Silkworm Feeding Waste: Chemical Characterization and Biological Activities of the Pyrolysis-Derived Liquid Fraction
Karan, Halil; Yıldırım, Aybeniz; Yılmaz, Fırat; Özgen, İnanç; Aydoğmuş, Ercan; Gül, Abdulkadir
Silkworm-rearing residues are an underused biomass resource that can be converted into value-added products. In this study, a condensable liquid product (SWP-Liq) was produced from these residues by pyrolysis at 325 ± 5 °C and evaluated for its chemical composition and in vitro biological activities. SWP-Liq yielded phenolic-, flavonoid-, and triterpenoid-equivalent values of 218.47 ± 22.40 mg GAE/g, 79.13 ± 3.55 mg QE/g, and 55.54 ± 6.15 mg EE/g, respectively. The ABTS•+ assay showed a higher radical-scavenging response than DPPH, while Fe3+- and Cu2+-reducing activities were also observed. SWP-Liq inhibited 5-LOX with an IC50 of 33.05 ± 1.10 µg/mL, whereas α-glucosidase inhibition was weaker. Antibacterial activity against all four tested bacterial species was observed at 8 mg/mL but not at 4 mg/mL. Targeted LC–MS/MS quantified five phenolic constituents, with p-coumaric acid (1599.71 µg/g), chlorogenic acid (871.43 µg/g), and ferulic acid (285.50 µg/g) being the most abundant. Overall, these findings support the further investigation of silkworm feeding waste as a feedstock for thermochemical valorization into chemically and biologically evaluable bio-based fractions.