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 SJRQ1Turkish validation of the CompACT: assessing psychological flexibility among emergency aid and disaster management students
Çınar, Öznur; Oral, Vildan; Turan, Melikşah; Cengiz, Ekrem
Psychological flexibility is a central construct in Acceptance and Commitment Therapy and an important protective factor for mental health, particularly among individuals expected to function effectively under high stress and uncertainty, such as those in emergency aid and disaster management. Despite its relevance for this population, no Turkish version of the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (CompACT) had been available. The present study aimed to perform a cross-cultural adaptation of the English version of CompACT into Turkish and to evaluate its psychometric properties in emergency aid and disaster management students. The study was conducted in two phases: translation and cross-cultural adaptation, followed by psychometric evaluation in a sample of 302 students. Data were analyzed using SPSS v.21 and AMOS v.22 through exploratory and confirmatory factor analyses, reliability analyses, test-retest analysis, and correlational validity testing. The exploratory factor analysis (EFA) showed that the CompACT consisted of three factors (Openness to Experience, Behavioral Awareness, and Valued Action) explaining 75.848% of the total variance, comprising 20 items. Confirmatory factor analysis (CFA) showed that the three-factor model provided the best fit to the data (χ²/df = 2.590, CFI = 0.963, TLI = 0.956, RMSEA = 0.073). The scale demonstrated satisfactory internal consistency (overall alpha = 0.843) and temporal stability (test-retest r > 0.70 across all subscales), and its expected negative associations with the Acceptance and Action Questionnaire-II (r = −0.365) and the Depression Anxiety Stress Scales-21 (r = −0.403) supported its criterion-related validity.
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İncele - MakaleYalnız künye2026Scopus SJRQ2Development 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.
AtıfScopus3WoS4İncele - MakaleYalnız künye2026Scopus SJRQ1Towards 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.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2Nurse-Led Mobile App Effect on Quality of Life in Breast Cancer Patients After Surgery: Nonrandomized Controlled Prospective Cohort Study (Step 3)
Aydin, Aydanur; Gürsoy, Ayla
Background: – Following surgery, women with breast cancer (BC) frequently experience emotional and physiological negative consequences. Objective: – To evaluate the effect of a nurse-led mobile app (NL-Mapp) intervention on quality of life (QoL) in patients after surgery for BC. Methods: – This single-center, 12-month, nonrandomized controlled trial, with 2 parallel groups, represents the final stage of 3-step research. In this study, women were assigned to either the intervention (n = 45) or control (n = 45) group. The intervention group participated in the NL-Mapp, whereas participants in the control group received standard care. The main outcomes were measured using the Functional Assessment of Cancer Therapy—Breast at 3 time points (baseline and 1 and 12 months after the intervention). Clinical Trial number: NCT06505538 Results: – The intervention participants reported significant improvement in physical well-being, emotional well-being, and the BC-specific subscale compared with the control group at the 1-month postsurgery mark. Equally noteworthy, at the 1-year follow-up, consistent improvements were observed across all QoL subscale scores for the intervention group, except for the BC-specific subscale for additional concerns. Conclusion: – Our study revealed a notable enhancement in the QoL among postoperative women with BC who utilized the NL-Mapp. This program emerges as an effective intervention for providing short-term and longer-term supportive care to women affected by BC, leading to tangible improvements in their QoL. Implication for Nursing: – The study’s findings offer valuable evidence supporting the integration of mobile health services into clinical and transitional nursing care.
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İncele - MakaleYalnız künye2026Scopus SJRQ2Changes 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 künye2026Scopus SJRQ3Cash 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.
- MakaleAçık Erişim2026Scopus SJRQ1Antibacterial efficacy of pyrolysis-derived plant fractions against resistant pathogens: a comparative evaluation using nutrient and Müller–Hinton agar
Demirel, Maruf Hurşit; Gül, Abdulkadir; Aydoğmuş, Ercan; Özgen, İnanç; Arslanoğlu, Hasan
BACKGROUND: This study investigates the antibacterial potential of pyrolysis-derived extracts from rosehip fruit (RF), orange peel (OP), corn silk (CS), spurge root (ER) and mullein leaf (ML) against antibiotic-resistant pathogens using two different culture media. Bioactive compounds were obtained via a PID-controlled pyrolysis system, and antibacterial activity was evaluated to clarify both extract efficacy and medium-dependent effects on bacterial growth and diffusion. RESULTS: Antibacterial activities were assessed using the agar well diffusion method, with ampicillin as a positive control, against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus and Enterococcus faecalis. A key novelty of this work is the comparative evaluation of extract performance on nutrient agar (NA) and Müller–Hinton agar (MHA). Among all samples, the ML extract exhibited the strongest antibacterial activity across all tested strains, producing inhibition zones of 18.85 mm against E. coli and 17.15 mm against E. faecalis on NA, compared with 13.05 mm and 13.60 mm on MHA, respectively. CS and ER extracts showed moderate antibacterial effects, with consistently higher inhibition zones on NA than on MHA. Ampicillin generated substantially larger inhibition zones on NA (33.35 mm for E. coli and 34.45 mm for P. aeruginosa) compared with MHA (13.80 and 27.70 mm, respectively), confirming the strong influence of culture medium composition on measurable antibacterial activity. CONCLUSION: These results indicate that both plant extracts and ampicillin exhibit higher antibacterial activity on NA than on MHA. The pronounced efficacy of the ML extract highlights pyrolysis-derived plant fractions as promising natural antimicrobials and emphasizes the critical importance of culture medium selection.
AtıfScopus4WoS5OpenAlex5İncele - MakaleYalnız künye2026Scopus SJRQ1The 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.
- MakaleAçık Erişim2026Scopus SJRQ1Depositional Setting of Eastern Sakarya Zone (NE Türkiye): Late Cretaceous–Paleogene Period Biostratigraphy, Sedimentology and Tectono-Sedimentary Basin Evolution
Köroğlu, Fatih
This study reconstructs the late Campanian–Thanetian tectonic and sedimentary evolution of the Eastern Sakarya Zone Basin (Türkiye) during the closure of the Neotethys Ocean, through the integration of tectonic, biostratigraphic and sedimentary data from three distinct tectonic regions: a northern back-arc basin, a central magmatic arc and a southern fore-arc basin. Analysis reveals a northwest-southeast trending basin with pronounced lateral variations: sediment thickness increases west-to-east, while facies transition from pelagic (north) to neritic (south) carbonate. The succession records a shift from late Campanian–Danian pelagic back-arc carbonates, through a Maastrichtian–early Danian hiatus, to late Maastrichtian–Danian hemipelagic-neritic carbonates, culminating in a Selandian–Thanetian neritic platform. The study proposes the first integrated facies model for the Eastern Sakarya Zone, linking its stratigraphic architecture to regional geodynamics. This establishes a new tectonically controlled carbonate sedimentation model for the Eastern Sakarya Zone Basin, critical for understanding basin evolution from pelagic to neritic carbonate systems in a closing ocean setting.
- MakaleAçık Erişim2026Scopus SJRQ3Green-synthesis of iron nanoparticles using wild cherry laurel (Prunus laurocerasus L.) fruit extract and their patulin and HMF adsorption capacities along with biological activities
Kobya, Havva Nur; Gül, Esra; Karpuz, Ömer; Baltacı, Cemalettin
In this study, iron nanoparticles (YBFeNPs) were green-synthesized using the aqueous extract (YB-E) of wild cherry laurel (Prunus laurocerasus L.) fruit to evaluate their potential applications in food safety. The synthesized YBFeNPs were investigated through Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and energy-dispersive X-ray spectroscopy analyses. YBFeNPs showed higher total phenolic content, total flavonoid content, and total antioxidant capacity compared to the original extract, suggesting that plant metabolites enhance NP bioactivity. Antioxidant capacity was further validated by DPPH, ABTS, and FRAP assays, which demonstrated strong radical scavenging and reducing power. The antibacterial activity of YBFeNPs was assessed against Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterococcus faecalis, revealing concentration-dependent effects with the highest inhibition zone of 14.5 ± 0.4 mm for E. coli. The chemical composition of the YB-E extract was analyzed using liquid chromatography-tandem mass spectrometry, identifying quinic acid, a polyol, and phenolic compounds such as chlorogenic acid (1.45 mg/g) and naringenin (0.02 mg/g). Additionally, the adsorption capacities of YBFeNPs were investigated against patulin and hydroxymethylfurfural (HMF), toxic compounds posing significant threats to food safety. The NPs demonstrated effective adsorption of both patulin and HMF, achieving maximum adsorption rates of 61.05% and 46.12%, respectively, at a concentration of 5.0 g/L after 240 min.
AtıfScopus4WoS4OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ2Layered Polymeric Carbon Nitride as a Green Support for Cellulase Immobilization: Improved Stability, Activity, and Reusability
Gulesci, Nuri; Altan, Orhan; Toprak, Ali; Yalçın, M. Serkan; Bilgin, Ramazan; Yildirim, Deniz
Polymeric carbon nitride (PCN) has attracted considerable attention in recent years due to its layered structure and donor groups such as terminal amines and triazine units. In this study, PCN was synthesized from melamine and employed for the first time as a support material for the immobilization of cellulase, a key enzyme used in numerous industrial applications. Transmission electron microscopy (TEM) analysis revealed that ranged from 219 to 375 nm in size, thereby confirming their nanoscale layered morphology. Cellulase from Aspergillus sp. was immobilized onto PCN using three methods. In the first approach, cellulase was adsorbed onto PCN to form PCN@cellulase. In the second method, PCN@cellulase was cross-linked with glutaraldehyde (PCN@cellulase/Glu). Finally, the primary amino group of PCN was modified with glutaraldehyde, and the cellulase was immobilized onto this support via covalent attachment (PCN/Glu@cellulase). Each cellulase preparation was assessed for its optimal pH, temperature conditions, thermal stability, and enzyme kinetics. The optimal pH was 5.5 for all cellulase preparations, while the optimal temperature was 45 °C for free cellulase and 55 °C for all immobilized cellulase preparations. Thermal stability of PCN@cellulase, PCN@cellulase/Glu, and PCN/Glu@cellulase increased by 2.1-, 2.7-, and 3.7-fold, respectively, compared to the free cellulase. PCN/Glu@cellulase showed a 1.4-fold higher catalytic efficiency than the free cellulase and retained 80% of its initial activity after 10 reuses. This work highlights PCN as a green, metal-free, and easy-to-prepare support for enzyme immobilization, thereby opening new possibilities for sustainable bioprocessing applications.
AtıfScopus1WoS1OpenAlex2İncele - MakaleAçık Erişim2026Scopus SJRQ1Core–Periphery Organization and Spatial Heterogeneity in Pseudopus apodus (Anguidae) Across Its Western Palearctic Range
Şahin, Mehmet Kürşat; Topal, Azra; Kurnaz, Muammer
Understanding the internal spatial structure of widely distributed species is fundamental for biogeographic theory and conservation practice, yet such structure is often masked by extent-based range metrics. We investigated the spatial organisation of Pseudopus apodus (Pallas, 1775), the largest limbless lizard of the Western Palearctic, using 3967 occurrence records spanning 1843–2025. Spatial point pattern analysis revealed a pronounced deviation from complete spatial randomness (Clark–Evans R = 0.105, p < 0.001), with strong fine-scale clustering. Kernel density estimation identified a clear core–periphery organisation: high-density core areas accounted for 30% of records but occupied only 22% of the total extent of occurrence (EOO). The discrepancy between EOO (~8.9 million km2) and area of occupancy (AOO; ~8944 km2) spanned three orders of magnitude, emphasising that only a small fraction of the species’ geographic envelope is actively occupied. Spatial heterogeneity was high (coefficient of variation ≈ 0.99), and core and peripheral occurrences were significantly segregated along both latitudinal and longitudinal gradients. The proportion of core records showed a weak positive temporal trend most plausibly attributable to sampling effort, particularly the recent expansion of citizen-science contributions, rather than to ecological processes. These findings demonstrate that P. apodus exhibits a compact spatial core embedded within a broad, sparsely occupied periphery, underscoring the limitations of EOO-based metrics in the conservation assessment of widely distributed reptiles. We emphasise that this structure is characterised using the density of occurrence records and therefore describes the observed spatial organisation of the available data rather than directly measured population density; ecological interpretations are accordingly framed as hypotheses requiring independent validation.
- MakaleYalnız künye2026Scopus SJRQ3Cultural 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.
- MakaleAçık Erişim2026Scopus SJRQ2The Effect of a Psychiatric Nurse–Led AI-Based Online Group Guided Self-Help Program on Eating Behaviours and Body Image among Overweight and Obese Women Nurses: A Randomized Controlled Trial
Tuncer, Gülsüm Zekiye; Duman, Zekiye Çetinkaya; Tuncer, Metin
Aim: This study aimed to evaluate the effectiveness of a psychiatric nurse–led, AI-supported online group guided self-help programme on eating behaviours, body image, and body mass index (BMI) among overweight and obese women nurses. Method: A randomised controlled experimental design with pre-test, post-test, and three-month follow-up assessments was employed. Forty-four overweight and obese women nurses were randomly assigned to intervention (n = 22) and control (n = 22) groups. The intervention consisted of an 8-week online group guided self-help programme supported by a large language model (LLM), under the leadership of a psychiatric nurse. Participants did not interact directly with the LLM; all AI-generated feedback was clinically reviewed and delivered by the researcher. Results: The intervention group demonstrated significant reductions in emotional eating and external eating, along with significant improvements in body image scores and adaptive coping strategies. A significant decrease in BMI was also observed from baseline to three-month follow-up. Between-group comparisons at post-test and follow-up indicated statistically significant differences favouring the intervention for eating behaviours and selected body image–related outcomes, whereas between-group differences in BMI were not statistically significant. Conclusion: A multi-component online group guided self-help intervention incorporating structured AI-assisted feedback under psychiatric nurse leadership may represent a promising approach to improving eating behaviours, body image, and weight-related outcomes among overweight and obese women nurses.
- MakaleYalnız künye2026Scopus SJRQ1Purification 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.
- MakaleAçık Erişim2026Scopus SJRQ1Integrated MCDM-based evaluation of urban intersection congestion
Tona, Aziz Ugur; Maraş, Erdem Emin
This study aimed to systematically evaluate the factors affecting traffic congestion at urban intersections and rank them based on congestion levels. Three multi-criteria decision-making (MCDM) techniques—Content validity method (CVM), best-worst method (BWM), and technique for order preference by similarity to ideal solutions (TOPSIS)—were used in an integrated framework. First, 15 potential congestion-related criteria were identified through literature and expert input. Using CVM, 8 key criteria were selected based on field-measured traffic data, official accident records obtained from relevant authorities, and structured on-site observational measurements. Their optimal weights were then calculated via a linear optimization model within the BWM. These weights were fed into TOPSIS for estimation and ranking of junction congestion. The examination also showed the Karayolları intersection to be the most congested (score: 0.711) and Toplu Konut Boulevard Intersection to be the least congested (score: 0.140). The findings provide essential information for decision-makers, aiding initiatives to enhance urban traffic flow by pinpointing crucial crossings and suggesting alternative geometric configurations. In addition, a sensitivity analysis across different weight conditions has confirmed the reliability and practical usefulness of the model. This proposed approach serves also as a tactical tool to prioritize interventions and improve the efficacy of transportation networks in urban environments.
- MakaleYalnız künye2026Scopus SJRQ1Evaluation 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 künye2026Scopus SJRQ2A 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.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2026Scopus SJRQ2The novel conformable methods to solve conformable time- fractional coupled Whitham-Broer-Kaup equation
Alkan, Aslı; Avit, Özkan; Anaç, Halil
This study employs two innovative techniques, namely the conformable q-homotopy analysis transform method (Cq-HATM) and the conformable Elzaki Adomian decomposition method (CEADM), to investigate the numerical solutions for the conformable time-fractional coupled Whitham-Broer-Kaup problem. One of the two novel approaches offered is Cq-HATM, which is a hybrid approach that integrates the q-homotopy analysis transform method with Laplace transform using the concept of conformable derivative. The CEADM method, like the aforementioned approach, is a hybrid method that integrates the Adomian decomposition method and Elzaki transform by utilizing the concept of conformable derivative. The computer simulations were conducted in order to provide empirical evidence supporting the efficacy and reliability of the recommended methodologies. Upon comparing the precise solutions with the obtained solutions, it becomes evident that both of the novel methodologies exhibit simplicity, efficacy, and proficiency in addressing nonlinear conformable time-fractional partial differential equations.