Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- Kitap BölümüYalnız künye2026Bio-based and Biodegradable Nanocomposites for Clean Energy Applications
Bozbeyoglu, Pinar; Altuner, Elif Esra
The growing global demand for energy and the environmental concerns associated with fossil fuels have accelerated the search for sustainable alternatives. Bio-based and biodegradable nanocomposites represent a new generation of materials that combine ecological compatibility with superior mechanical, thermal, and electrical properties. This chapter provides a comprehensive overview of bio-based polymer matrices (such as PLA, PHA, PBS, PEF, PVA, and natural polymers like cellulose, chitosan, and lignin) and their integration with nanofillers, including graphene, carbon nanotubes, TiO2, ZnO, and nanoclay. The synergistic effects of these hybrid structures are discussed in the context of clean energy technologies, such as solar cells, fuel cells, batteries, supercapacitors, and piezoelectric nanogenerators. In addition, the chapter highlights green synthesis routes, characterization methods, life cycle assessment (LCA), and industrial perspectives, emphasizing how nanocomposite design bridges performance enhancement with environmental sustainability.
- MakaleYalnız künye2026Development of a hybrid technique for solving the Newell–Whitehead–Segel equation using the Caputo–Fabrizio derivative
Şahin, Yasin; Merdan, Mehmet; Açıkgöz, Pınar
Purpose – The aim of the paper titled “Development of a hybrid technique for solving the Newell–Whitehead–Segel (NWS) equation using the Caputo-Fabrizio derivative” is to develop a new numerical method for solving the NWS equation using the Caputo-Fabrizio fractional derivative. This method involves the combination of the Caputo-Fabrizio Elzaki transformation and the q-homotopy analysis transformation method. The study aims to analyze the NWS equation that models the reaction-diffusion dynamics in biological and chemical systems. The convergence analysis of the proposed method is performed, and the obtained solutions are visualized with two- and three-dimensional graphics using the Maple software. The results show that the proposed method is more powerful and effective than the existing methods. Design/methodology/approach – In this study, a hybrid analytical-numerical method is developed to solve the NWS equation formulated using the Caputo-Fabrizio fractional derivative. The method is a combination of: q-homotopy analysis method (q-HATM) and Shehu transformation technique (ST). By combining these two powerful methods, a solution approach that does not require linearization or complex calculations for nonlinear fractional partial differential equations, converges quickly and gives high accuracy results, is presented. The obtained solutions are tested for numerical accuracy and are supported graphically. Findings – In the article titled “Development of a hybrid technique for solving the Newell–Whitehead–Segel equation using the Caputo–Fabrizio derivative”, the authors propose a new hybrid method for solving the time-fractional NWS equation. This method is a combination of the q-HATM and the ST. The proposed q-HSATM provides an efficient and lightweight approach for solving nonlinear fractional partial differential equations without requiring linearization, discretization or complex polynomials. This hybrid technique obtains the approximate analytical solution of the NWS equation using the Caputo–Fabrizio derivative. The method provides fast convergence and high accuracy with less memory and processing power requirements. It also stands out as a reliable tool for modeling complex systems in applied sciences such as physics, biology and engineering. In conclusion, this study provides an effective and applicable method for solving nonlinear differential equations formulated with the Caputo-Fabrizio derivative, making a significant contribution to the field of fractional calculus. Originality/value – This section of the article titled “Development of a hybrid technique for solving the Newell-Whitehead-Segel equation using the Caputo-Fabrizio derivative” can be summarized as follows: This study is one of the first hybrid q-HATM and ST-based methods developed to solve the NWS equation using the Caputo-Fabrizio fractional derivative operator. Its unique aspects: Unlike traditional methods, it provides models more suitable for physical systems by working with the Caputo-Fabrizio derivative, which includes the memory effect and whose kernel function is not exponential. The presented method presents a new and powerful analytical-numerical technique that can produce approximate solutions with high accuracy without requiring linearization or discretization. The developed technique is valuable not only theoretically but also with its applicability to reaction-diffusion systems in applied sciences.
- MakaleYalnız künye2026Towards Sustainable Environment in OECD Nations: The Moderator Role of Renewable Energy in Uncovering the Hidden Link Between Military Expenditure and Ecological Footprint
Ayaydın, Hasan; Ergün, Tolga; Ergün, Hilal Ok; Barut, Abdulkadir; Pilatin, Abdulmuttalip
This study examines the relationships among military spending, renewable energy (RNW), globalisation, economic growth, and ecological footprint in 35 OECD member countries, using data covering 1990–2022. Specifically, this study contributes to this discussion by presenting empirical evidence on the link between military expenditure and ecological footprint, while accounting for the moderating role of RNW in OECD countries. The analysis utilised Kao, Pedroni, and Westerlund cointegration tests, Driscoll-Kraay robust standard error tests, Dumitrescu-Hurlin causality tests, and FMOLS and DOLS techniques for robustness verification. Empirical results show that military spending in OECD countries increases the ecological footprint, leading to environmental degradation. Furthermore, the combined effect of military expenditure and RNW reduces the ecological footprint and contributes to environmental sustainability. The results contribute to the existing literature by underlining the role RNW plays in reducing the ecological footprint of military expenditures and by offering policy recommendations for environmental sustainability. From a managerial and policy perspective, the findings suggest that defense-related institutions and policymakers should integrate environmental sustainability criteria into military planning and procurement strategies. Increasing the use of renewable energy in military infrastructure, logistics, and defense technologies may significantly reduce the ecological footprint associated with military expenditure. Therefore, the transition toward renewable energy supported defense systems can serve as a strategic tool for aligning national security objectives with sustainable development goals.
- MakaleYalnız künye2026Changes in BMI, lipid profile, disease perception, and quality of life among myocardial infarction patients participating in a 12-week green walking: A quasi-experimental study
Cin, Aynur; Hintistan, Sevilay
Objective This study assessed the 12-week intervention of green walking on BMI, blood lipids, disease perception, and quality of life among myocardial infarction patients. Methods In a quasi-experimental design, 60 participants (28 men, 32 women; aged 36–77 years) were assigned to intervention (green walk) or control (routine care) groups based on geographic convenience. The green walking group performed high-intensity interval walking for 50 min three times a week in a natural setting for 12 weeks. Adherence was monitored via attendance logs, with a mean of 91.7 % (SD 7.1 %). Primary outcomes included BMI and lipid profiles, while secondary outcomes included perceived illness and quality of life, assessed through validated questionnaires. A mixed-design model incorporating time-group interaction was used for analysis. Data were analyzed using mixed-design ANOVA, repeated-measures ANOVA, paired t-tests, Friedman tests, and Wilcoxon tests. Results The green walk group showed improvements in several measures including a reduction in BMI and positive changes in lipid profiles and disease perception scores with enhanced quality of life for both groups. The mean differences between groups for weight, BMI, and concerns over medication were not significant. No severe adverse events were recorded during the entire 12-week program. Conclusions Participation in the green walking program for 12 weeks is associated with favorable trends in BMI, lipid levels, disease perception, and quality of life among myocardial infarction patients which structured green walking can be an aid toward improving well-being during cardiac rehabilitation; however further randomized controlled studies will substantive such an association.
- MakaleYalnız künye2026Cash holdings in an emerging market technology sector: evidence from BIST firms within the trade-off and pecking order frameworks
Pala, Fahrettin; Karalı, Muhammet; Karabayır, Mehmet Emin; Henni, Mohamed Djafar; Barut, Abdulkadir
This study investigates the determinants of corporate cash holdings in technology firms listed on Borsa İstanbul (BIST) by integrating the Trade-off Theory and the Pecking Order Theory. Using annual panel data covering the period 2013–2023, the study examines how firm-specific characteristics and macroeconomic factors influence corporate liquidity decisions in an R&D-intensive sector. The empirical analysis is conducted using a random-effects panel model estimated with Driscoll–Kraay standard errors to account for heteroskedasticity, autocorrelation, and cross-sectional dependence. The robustness of the findings is further assessed through firm fixed-effects, firm-and-year fixed-effects, one-year lagged specifications, and an interaction analysis. The results show that profitability is the most important determinant of corporate cash holdings, providing strong support for the Pecking Order Theory, whereas financial leverage exhibits a weak negative effect. In contrast, firm size, liquidity needs, R&D expenditures, dividend payments, GDP growth, and interest rates do not have statistically significant direct effects on cash holdings, while inflation exhibits weak evidence of a negative relationship. Moreover, the interaction analysis reveals that interest rates positively moderate the relationship between R&D expenditures and corporate cash holdings, indicating that innovation-oriented technology firms tend to retain larger cash reserves under tighter monetary conditions. The findings highlight that macroeconomic conditions influence corporate cash holdings not only directly but also through their interaction with firm-specific characteristics. The study contributes to the corporate finance literature by providing new evidence from an emerging market and offers practical implications for corporate managers and policymakers in designing effective corporate liquidity management strategies under changing monetary conditions.
- MakaleYalnız künye2026The relationship between compassion fatigue and levels of depression, anxiety, and stress in nurses: A multicenter cross-sectional study
Coşar, Dilan Aktepe; Ayyıldız, Neşe Işcan; Şimşekli, Derya
Aim This study aimed to investigate the relationship between compassion fatigue and depression, anxiety, and stress levels in nurses. Method This research is a multicenter, cross-sectional study. The study was conducted with 283 nurses in three state hospitals in northeastern Turkey using a purposive sampling method. Research data were collected by the researchers using a Demographic Form, the Compassion Fatigue Scale (CFS), and the Depression, Anxiety, Stress Scale (DASS-21). Descriptive statistics, normality assessment, one-way ANOVA, t -tests, Pearson correlation and multiple linear regression analysis were performed using SPSS 26 software. Results A total of 283 nurses participated in the study. The mean CFS score was 83.97 ± 13.76, while the mean DASS-21 scores were 8.05 ± 4.10 for depression, 4.89 ± 2.97 for anxiety, and 9.22 ± 4.32 for stress. Correlation and regression analyses revealed a strong positive correlation between compassion fatigue and depression (r = 0.574, p < 0.001), a moderate positive correlation with anxiety (0.349, p < 0.001), and a strong positive correlation with stress (0.583, p < 0.001). Multiple regression analysis revealed that depression, stress, male gender, working as a nursing education specialist, and job dissatisfaction were variables significantly associated with compassion fatigue. Conclusion Based on these results, it is necessary to evaluate compassion fatigue in nurses in conjunction with psychological factors as well as individual and professional characteristics. Furthermore, it is important to support nurses' psychological health, develop strategies to address compassion fatigue, and increase individual resilience.
- MakaleYalnız künye2026Cultural adaptation and psychometric validation of the Azerbaijani version of the Optimism Scale among university students
Güngör, Sunay; Karimi, Kambiz
In a dynamic society, instilling a sense of positive attitudes is crucial. Yılmaz and Balcı's (2002) The Optimism Scale was translated into Azerbaijani and its construct validity and reliability were tested using a convenience sample of university students (n = 300, 18–24 years). cities. The sample was split for exploratory and confirmatory factor analysis. Findings showed cultural commonalities between Azerbaijani and Turkish societies, attested through shared factors such as religion and language. The scale showed high construct validity, high internal consistency (Cronbach's alpha =.869; McDonald's omega =.867), and convergent validity (r =.41 with measures of happiness). It supports usability of the scale in Azerbaijan. Future studies should explore structural characteristics of the scale among different populations and age brackets.
- MakaleYalnız künye2026Purification of catalase enzyme from Thymus nummularius and examination of the effects of varying glucose concentrations on catalase activity
Toprak, Esma; Güleşci, Nuri
Catalase (EC 1.11.1.6), an antioxidant enzyme, breaks down reactive oxygen species, hydrogen peroxide (H2O2), into water and oxygen. In this study, the partial purification of catalase was obtained from Thymus nummularius M. Bieb. through ammonium sulfate (NH4)2SO4 precipitation, dialysis, and desalting/buffer exchange by using a PD-10 Sephadex G-25 M column. The isolated enzyme had a specific activity of 1294.45 U/mg protein and a purification fold of 7.80. The SDS-PAGE analysis indicated a molecular weight ranging between 37 and 50 kDa. The optimal pH and temperature for catalase activity were determined to be pH 8.0 and 25 °C, respectively. The kinetic parameters, maximum velocity (Vmax) 277.78 U/mL and Michaelis constant (KM) 34.17 mM were estimated from Lineweaver-Burk plots. Furthermore, catalase activity was evaluated at glucose concentrations ranging between 25 and 500 ppm. Enzyme activity increased at 25–100 ppm, significantly decreased at 250 ppm, and then increased again at 500 ppm. These results suggest that glucose may modulate catalase activity in a concentration-dependent manner. Even though the exact regulatory mechanism remains unclear, this effect could have potential implications for glucose-sensitive metabolic systems.
- MakaleYalnız künye2026Evaluation of family-centered care from the perspectives of pediatric nurses, nursing students and parents: A mixed-methods study
Çolak, Bahar; Güner, Yasemin; Goger, Berrin; Kahriman, İlknur; Dal Sevim, Şura
Introduction This study aimed to evaluate family-centered care (FCC) practices in pediatric units from the perspectives of pediatric nurses, nursing students, and parents. Methods A convergent parallel mixed-methods design was employed. Quantitative data were collected using a cross-sectional design, while qualitative data were obtained through a case study approach. The sample consisted of 338 parents, 221 nursing students, and 10 pediatric nurses. Parents completed the FCC Assessment Scale and the PedsQL Healthcare Satisfaction Module, nursing students completed the Caring Behaviors Inventory, and pediatric nurses participated in semi-structured interviews. Results Parents reported high scores in the FCC dimensions of “support,” “collaboration,” and “respect,” which significantly predicted parental satisfaction. The “support” dimension was the strongest predictor of satisfaction with information, family participation, and technical skills. Nursing students rated pediatric nurses' caring behaviors highly. Qualitative analysis identified five major themes: (1) Perception of FCC, (2) Role of the Nurse, (3) Role of the Physician, (4) Benefits of FCC, and (5) Barriers to FCC. These themes highlighted the importance of family participation, the nurse's leadership role, gaps in physician communication, the multifaceted benefits of FCC at the child, family, and system levels, and barriers including workload, physical environment limitations, and family-related challenges. Conclusion Perceived FCC practices significantly predicted parental satisfaction. However, improvements are needed in information sharing, family participation, and physical environment conditions. Implications to practice These findings provide valuable insights for developing educational, clinical, and policy strategies to strengthen the implementation of FCC in pediatric nursing practice.
- Kitap BölümüYalnız künye2026Artificial Intelligence Nanocomposite Synergy for Next-Generation Fuel Desulfurization
Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer
Fuel desulfurization is crucial due to the harmful effects of acid rain, air pollution, and health issues associated with sulfur compounds from fossil fuel combustion. Stricter international regulations require reducing sulfur content in fuels to ultra- low levels (<15 ppm), which current hydrodesulfurization (HDS) technology struggles to achieve due to high energy costs and inefficiencies with refractory aromatic sulfur compounds, such as dibenzothiophene (DBT). This gap in technology is driving the development of new solutions. This study explores the integration of materials science, chemical engineering, and artificial intelligence (AI) to meet ultra- low sulfur targets. It highlights alternative strategies, such as adsorptive (ADS) and oxidative (ODS) desulfurization, using advanced nanocomposite materials, including MetalOrganic Frameworks (MOFs), graphene hybrids, and zeolites. These innovative materials focus on “precision targeting” and “molecular recognition,” offering greater efficiency under milder conditions compared to traditional HDS methods AI and computational science are crucial for identifying the most suitable materials among a vast array of candidates. Combining Density Functional Theory (DFT) with Machine Learning (ML) accelerates material discovery by transitioning from a trial- and- error approach to an “inverse design” method. Successful AI tools, including Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs), have been proven effective in optimising desulfurization processes through real- world examples. In summary, achieving cleaner fuels requires innovative materials guided by AI. The study also addresses the challenges of scaling this interdisciplinary approach and envisions the potential for transforming desulfurization from a cost centre into a profit centre through precise molecular separation.
- MakaleYalnız künye2026A Dense and Sparse Attention in Vision Transformer for Remote Sensing Image Classification
Celik, Kemal
Satellite imagery plays a crucial role in various applications, such as environmental monitoring, urban planning, and disaster response. Previously, Convolutional neural networks have played a crucial role in improving remote sensing scene classification by effectively capturing spatial features. However, they often struggle with long-range dependencies and complex spectral patterns in satellite images. Recently, transformer-based architectures, initially designed for natural language processing, have been adopted in computer vision to leverage self-attention mechanisms for capturing long-range dependencies. To effectively extract the long-range dependencies and complex patterns, this paper proposes a novel method combining dense and sparse attention mechanisms to enhance remote sensing scene classification in different scales. The dense attention mechanisms capture comprehensive connections within satellite images, followed by sparse attention mechanisms applied at both tile and patch scale levels. This multi-scale attention strategy allows the model to efficiently focus on important spatial and spectral features while managing computational complexity. Extensive experimental evaluations on three benchmark datasets, such as Merced, AID, and Optimal-31, demonstrate significant improvements in classification accuracy, achieving 98.9, 97.5, and 97.8, respectively. Experimental results show that the proposed framework outperforms CNN and Transformer baselines, enhancing the accuracy and robustness of remote sensing scene classification for geospatial analysis.
- MakaleYalnız künye2026Spatial heterogeneity of microscopically detected Nosema spp. infection in honeybees: Climate-associated patterns in the Eastern Black Sea Region of Türkiye
Tosun, Onur; Bekircan, Çağrı; Kurnaz, Muammer
Nosemosis has emerged as the predominant microsporidian infection of honeybees (Apis mellifera L.) in many regions, including Türkiye, yet the climatic drivers of its epidemiology remain insufficiently quantified. This study assessed the effects of temperature and relative humidity on nosemosis prevalence across seven provinces in the climatically diverse Eastern Black Sea region. A dataset of 2688 colony-level observations was analyzed using generalized linear models, mixed-effects models, beta regression, generalized additive models, and spatial autocorrelation. Both temperature and humidity were consistently significant predictors (p < .001). Quadratic temperature terms and nonlinear GAM smooths were consistent with a thermal performance pattern, with infection peaking at intermediate ranges. Humidity exerted threshold-like effects, with disproportionately higher prevalence at upper quantiles. Province-level random effects accounted for ∼18% of variance, underscoring spatial heterogeneity, while elevation was not significant once climatic variables were included. Exploratory spatial analysis (Global Moran's I = −0.476, p = 0.043) tentatively suggested dispersion rather than clustering; however, given the very small number of spatial units (n = 7), this result should be regarded as hypothesis-generating only. The beta mixed-effects model achieved moderate predictive accuracy under cross-validation (RMSE ≈ 0.109). Collectively, these findings indicate that nosemosis prevalence in the region is strongly associated with climatic variability, exhibits nonlinear and threshold-like responses, and shows pronounced spatial heterogeneity. We emphasize that these are statistical associations and that unmeasured factors (e.g., colony strength, nutrition, pesticide exposure, management practices, and co-infections) likely contribute to the unexplained variance. By integrating hierarchical, nonlinear, and spatial approaches, this study establishes a climate-associated epidemiological assessment of nosemosis risk in A. mellifera and highlights the importance of localized climatic suitability under ongoing climate change.
- MakaleYalnız künye2026Minimum covariance determinant-based estimators for estimating population mean using two auxiliary variables
Zaman, Tolga; Islamoglu, Ebrucan; Bulut, Hasan
This study addresses the challenge of outliers in sample surveys, a common issue that can distort results and lead to inaccurate conclusions. To tackle this problem, researchers have developed various robust regression techniques including least trimmed squares, least median of squares, least absolute deviations, Huber’s, Hample’s and Tukey’s maximum likelihood estimators, and Huber’s maximum likelihood estimator for location and scale estimators. We propose a new approach: minimum covariance determinant-based ratio estimators for estimating the population mean in sample surveys. To assess the performance of the proposed minimum covariance determinant-based estimators, we derive their mean square error expressions and determine the conditions under which they surpass existing estimators in efficiency. To validate our theoretical findings, we conduct a numerical illustration using real-world data and perform simulations with R-Programme software. The results demonstrate that our method effectively handles outliers and improves the overall accuracy of survey-based estimations, making it a valuable tool for researchers working with sample survey data.
- MakaleYalnız künye2026Challenge of existence: social anxiety in Finding Audrey
Demir, Nalan
Mental health problems affect individuals worldwide, and literature functions as a medium for both reflecting and shaping social understandings of these issues. Young adult (YA) novels that address mental health can raise public awareness, enhance mental health literacy, and support earlier diagnosis and more effective treatment. This study examines the representation of social anxiety disorder in Finding Audrey (2015) by Sophie Kinsella, focusing on the protagonist Audrey Turner. It analyses Audrey’s experience through her symptoms and treatment process, classifying symptoms into behavioural and cognitive-emotional categories. Behavioural symptoms include avoidance, limited eye contact, and physical reactions, while cognitive-emotional symptoms involve negative self-talk, shame, low self-esteem, negative self-perception, and diminished trust in others. These symptoms and the depicted therapeutic approaches are evaluated in relation to current psychological and psychiatric research. Overall, the novel presents social anxiety disorder in a realistic and psychologically coherent manner, aligning with findings in psychology and psychiatry.
- MakaleYayıncıda açık erişim2026Production and Multi-Criteria Evaluation of Healthy White Cheese Snacks Using Microwave-Vacuum Drying
Ayrancı, Vasıf Kubilay; Mzoughi, Mondher; Salum, Pelin; Zemzemoğlu, Tuba Eda Arpa; Erbay, Zafer
Microwave-assisted vacuum drying (MVD) is an emerging technology suitable for producing healthy snack foods, such as cheese snacks. This study aimed to produce a low-fat, low-salt, crunchy cheese snack using MVD. Low-fat, low-salt cheese slices were dried under seven different combinations of microwave power (5%–15%), vacuum level (220–300 Torr), and drying time (6.5–11 min), selected through preliminary trials. The resulting snacks were characterized by their physical properties and volatile compound profile. The results revealed significant differences in moisture content, water activity, bulk density, and volumetric/surface/cross-sectional expansion among the samples. Samples produced under high vacuum and long process time conditions exhibited the most favorable overall characteristics, including the lowest moisture, water activity, and density, alongside the highest volume expansion. These samples also showed a darker color and a superior crispy texture (higher fracturability with lower hardness, springiness, and chewiness). Twelve volatile compounds, with a profile limited by the low-fat content of the cheese, were detected. The TOPSIS analysis identified the sample produced under high vacuum conditions (dried at 10% power, 220 Torr, 10 min) as optimal. Practical Applications: This study provides a roadmap for producing crunchy, low-fat, and low-salt cheese snacks using microwave vacuum drying. For food manufacturers, the identified optimal conditions offer a process guideline to develop a healthier snack alternative with an appealing texture and color. The systematic TOPSIS-based evaluation method can be adopted for quality control and product development decisions. For consumers, the resulting product aligns with growing demand for nutritious, reduced-sodium convenience foods.
- MakaleYalnız künye20265-Hydroxymethylfurfural and furfural levels in non-alcoholic beverages: a survey of product types
Arslan Burnaz, Nesibe; Baltacı, Cemalettin; İlyasoğlu, Huri
Toxic furanic compounds such as 5-hydroxymethylfurfural (HMF) and 2-furfural (F) can form during the processing and storage of non-alcoholic beverages (NABs). This study aimed to determine the levels of HMF and F in a wide range of NAB categories, including fruit juices and nectars, carbonated soft drinks, non-carbonated soft drinks, energy drinks, and coffee with milk drinks. The levels of HMF and F were determined using a validated analytical method. The HMF and F levels of the studied samples varied depending on the type of product. The coffee with milk drinks exhibited the highest levels, while the carbonated soft drinks exhibited the lowest. Notably, the HMF levels of most of the coffee with milk drinks exceeded 10 mg L−1. The findings provide novel insights into the presence of furanic compounds in NABs and emphasise the importance of raising consumer awareness regarding potential dietary exposure to furanic compounds, particularly from coffee drinks.
- MakaleYalnız künye2026Unraveling the Web of Marital Well-Being: Associations Among Relationship Quality, Emotion Regulation, and Cognitive Flexibility
Özer, Şükrü; Odaci, Hatice
This study aims to explore the associations among relationship quality, cognitive flexibility, cognitive emotion regulation, and subjective well-being in married individuals in Turkey. Using a cross-sectional correlational design, we collected data from 1,013 married participants (mean age = 40.65; 52.5% male). Results indicated that relationship quality was positively associated with subjective well-being, cognitive flexibility, and adaptive emotion regulation strategies and negatively associated with maladaptive emotion-regulation strategies. Cognitive flexibility and adaptive emotion-regulation strategies were positively associated with subjective well-being, whereas maladaptive strategies were negatively associated. Mediation analyses revealed significant indirect associations between relationship quality and subjective well-being through cognitive flexibility and both adaptive and maladaptive emotion-regulation strategies. These findings highlight patterns of association among relational and cognitive-emotional variables in marital well-being and may inform future research and clinical practice.
- MakaleYalnız künye2026Exploring Different Types of Career Anxiety Among Young Adults: A Latent Profile Analysis
Ciminli, Alaattin; Aydin, Burak
This study aimed to identify distinct latent profiles of career anxiety among young adults and to examine the predictors of membership in these profiles by relating them to various factors, including academic unit and year of study. The data were collected from a sample of 509 young adults enrolled at universities in Türkiye, comprising 409 females (80.4%) and 100 males (19.6%). The instruments used for data collection included a personal information form, Career Anxiety Scale, Hope Scale, Perceived Social Support Scale, Perfectionism Scale, and the Coping Self-Efficacy Scale. Latent profile analysis (LPA) was employed to identify latent profiles, while multinomial logistic regression (R3STEP) analysis was conducted to examine the relationships between latent profile membership and sociodemographic variables. The results of the LPA revealed three distinct latent profiles: high anxiety and vulnerable (Profile 1), low anxiety and high psychosocial strength (Profile 2), and moderate group (Profile 3). The findings indicated that when Profile 1 was used as the reference group, academic unit type and class level did not significantly predict membership in Profile 2. However, vocational school status significantly predicted membership in Profile 3. When Profile 2 was used as the reference group, it was observed that both vocational school students and fourth-year students were significantly less likely to be members of Profile 3.
- MakaleYalnız künye2026Hydrothermal synthesis of do-TAB/CNP@NiO nanocatalyst for efficient photocatalytic degradation of acetaminophen: Characterization, photocatalytic mechanism and degradation pathways of drug wastewater
Kıranşan, Murat
This study reports a comprehensive evaluation of acetaminophen (ACT) photocatalytic degradation in aqueous media using hydrothermally synthesized Do-TAB/Clinoptilolite (Do-TAB/CNP), NiO nanoparticles, and a hybrid Do-TAB/CNP@NiO nanocatalyst. The prepared materials were systematically characterized by XRD, FT-IR, SEM-EDX, TEM, XRF, BET surface area, and BJH pore size analyses, confirming their crystalline structure, surface morphology, elemental composition, and porous features. The photocatalytic activity was investigated as a function of catalyst dosage, initial ACT concentration, solution pH, irradiation source, water matrix, and radical scavengers to clarify the degradation behavior and reactive species involved. Under optimal conditions, Do-TAB/CNP@NiO achieved 98.50% ± 0.75% ACT degradation within 120 min, whereas the maximum efficiency reached 99.92% ± 0.82% at 10 mg L−1 ACT under the same catalyst dosage. Kinetic analysis revealed pseudo–first–order behavior, with apparent rate constants (kapp) of 0.0061–0.0565 min−1 for catalyst dosage, 0.0117–0.0599 min−1 for ACT concentration, and 0.0218–0.0350 min−1 for water matrices. Radical scavenging tests verified the dominant contribution of reactive oxygen species and the synergistic interaction between NiO and Do-TAB-modified CNP. The hybrid catalyst exhibited stable reusability, with degradation efficiency decreasing from 98.50% to 89.68% after six cycles. Under optimized conditions, pharmaceutical degradation followed the order MET (99.90%) ' ACT (98.50%) ' SMX (88.45%) ' NAP (86.90%) ' CIP (83.89%) ' NAL (79.17%). Compared with NiO nanoparticles (70.34%), Do-TAB/CNP (63.65%), and raw CNP (54.46%), Do-TAB/CNP@NiO demonstrated markedly enhanced photocatalytic performance, indicating its strong potential for pharmaceutical wastewater treatment applications in water.
- MakaleYalnız künye2026Psychological determinants and consumer acceptance of cultured meat: a multi-dimensional analysis among Turkish adults
Akduman, Gul; Kurtbeyoglu, Emine
Purpose – The environmental, ethical and health issues associated with conventional meat production necessitate the exploration of cultured meat as an alternative protein source. This study aims to assess the psychological determinants and consumer segments of cultured meat among Turkish adults. Design/methodology/approach – The study was conducted using an online survey with 471 participants (66% male, mean age 28.4 ± 9.2 years), measuring awareness, willingness to try, risk–benefit evaluative orientation and attitudinal factors. An exploratory composite evaluative indicator, termed the risk-benefit evaluative index (RBEI) was constructed from seven concern questions, and standardized factor scores reflecting environmental–ethical (F1) and health–technology (F2) attitudes were calculated. Cluster analysis (k = 3) revealed three consumer segments: Supportive Optimists, Hesitant Pragmatists and Skeptical Resisters. Findings – While awareness of cultured meat was relatively high, willingness to try remained limited. Consumer acceptance was primarily associated with attitudinal dimensions, particularly environmental–ethical considerations and trust in health and technology, whereas demographic variables showed limited explanatory power. Segmentation analysis revealed three distinct consumer profiles with differing acceptance patterns. Research limitations/implications – The findings suggest that consumer acceptance is primarily shaped by multidimensional psychological evaluations, particularly environmental–ethical considerations and trust in health and technology. The study highlights a “high awareness–low acceptance” paradox and underscores the importance of communication strategies that address both perceived risks and benefits. By combining an exploratory composite evaluative indicator with factor-analytic attitudinal dimensions and consumer segmentation, this study provides a more comprehensive approach to understanding consumer acceptance and offers practical insights for promoting the adoption of cultured meat. Originality/value – This study provides one of the first comprehensive investigations of cultured meat acceptance among Turkish adults by integrating a risk–benefit evaluative index, attitudinal dimensions, and consumer segmentation within a single analytical framework. By combining an exploratory composite evaluative indicator (RBEI), factor analysis, and cluster analysis, the study identifies three distinct consumer segments and highlights the “high awareness–low acceptance” paradox in an emerging market context. The findings demonstrate that evaluative and psychological attitudes, particularly environmental–ethical considerations and trust in health and technology, are more influential than sociodemographic characteristics in shaping consumer acceptance, providing practical insights for communication strategies and policies promoting alternative protein adoption.