Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(64)
- Merdan, Mehmet(47)
- Baltaci, Cemalettin(35)
- Kulakaç, Nurşen(28)
- Duran, Celal(27)
- Ozdes, Duygu(24)
- Turan, Ibrahim(24)
- Demir, Selim(23)
- Türkkan, Tuğba(22)
- Bayrakdaroglu, Serdar(21)
- Topal, Fevzi(21)
- Öztürk, Serkan(21)
- Ürkek, Bayram(21)
- Gücer, Mehmet Ali(20)
- Akar, Zeynep(19)
- Kaygusuz, Abdullah(19)
- Topal, Meryem(19)
- Anaç, Halil(18)
- Aydin, Aydanur(18)
- Batan, Nevzat(18)
- Erata, Hüseyin(18)
- Tuncer, Metin(18)
- Akyürek, Suat(17)
- Baltacı, Cemalettin(17)
- Karimullah, Suud Sarim(17)
- Acet, Tuba(16)
- Akar, Bülent(16)
- Ashyralyyev, Charyyar(16)
- Düzgün, Azer Özad(16)
- Hintistan, Sevilay(16)
- Yılmaz, Coşkun(16)
- Aliyazicioglu, Yuksel(15)
- Kaya, Hacer(15)
- Kurnaz, Muammer(15)
- Kurt, Kemal(15)
- Ozden, Talat(15)
- Yilmaz, Coskun(15)
- Yuksel, Ferhat(15)
- Yücel, Cem(15)
- Öz, Mehmet(15)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Multi-criteria techno-economic evaluation of electric buses with vehicle-integrated photovoltaic for enhanced sustainability
Başoğlu, Mustafa Engin
This study presents a multi-criteria techno-economic evaluation of electric buses (e-buses) equipped with vehicle-integrated photovoltaics (VIPV) to support the global transition toward zero-emission transportation. Aligned with international climate goals like the Paris Agreement and the European Union's 2050 carbon neutrality target, the research assesses ten 12-meter and 18-meter commercial e-bus models from various manufacturers. A computationally efficient methodology is employed, utilizing PVGIS-derived global horizontal irradiation (GHI) data specifically for Gümüşhane, Türkiye. The evaluation framework simultaneously analyzes several critical indicators: PV-based range extension, CO2 emission reduction, grid-connected charging frequency, battery depth of discharge (DoD), and payback period (PP). Findings from the baseline scenario—assuming 50% usable roof area and 22% module efficiency—reveal that e-buses can achieve a daily PV range of up to 19.16 km and annual CO2 emission savings ranging from 1709 to 2596 kg. Additionally, VIPV integration effectively mitigates battery aging by providing a peak DoD reduction of 6.91% and decreases grid-charging dependency by up to 5% during high-irradiance months. In an optimistic scenario featuring 80% usable roof area and 30.1% efficiency, the daily PV range reaches a maximum of 46 km, while the reduction in grid-charging frequency improves significantly to 21.16%. Economic assessments, including Net Present Value (NPV) analysis, confirm the investment's viability, with PPs as short as 3.76 years. This research provides a comprehensive, scalable framework and practical guidance for municipalities and fleet operators to enhance the sustainability of public transport (PT) through solar energy integration.
- MakaleAçık Erişim2026Scopus SJRQ4Modified very deep super resolution network-Gaussian mixture models based single image super-resolution: A comprehensive comparative analysis
Günen, Mehmet Akif
Image Super-Resolution (SISR) is a vital, cost-effective solution for enhancing the spatial resolution of satellite imagery. However, a significant challenge in current SISR techniques is that while deep learning models excel at structural learning, they often struggle to accurately reconstruct intricate high-frequency details and preserve the statistical texture properties of high-resolution images. To address this gap, this paper proposes a novel hybrid method, termed mVDSR-GMM, which leverages the complementary strengths of Gaussian Mixture Models (GMM) and a modified Very Deep Super-Resolution (mVDSR) network. GMM is utilized to model the underlying statistical and probabilistic properties of the image for accurate high-frequency reconstruction while the mVDSR network enhanced with 25 convolutional layers and Leaky ReLU activations boosts the model’s structural feature extraction and non-linear mapping capabilities. This hybrid approach technically integrates the mVDSR and GMM through a parallel merging of their estimated residuals within the luminance channel, thereby enhancing the spatial reconstruction of satellite imagery. The enhanced mVDSR network, with increased depth and Leaky ReLU activation functions, further boosts the model's learning capability and robustness. Through extensive evaluations using satellite imagery datasets and metrics such as PSNR, SSIM, BRISQUE, MSE, UIQI, SAM, and FD, mVDSR-GMM consistently outperformed existing techniques, demonstrating its effectiveness in improving spatial resolution. Experimental results indicate that mVDSR-GMM outperforms main competitors such as SwinIR and SinSR across all evaluation metrics, providing a robust reconstruction performance that is further validated by improved accuracy in the binary separation of urban structures (buildings and roads) from natural environments. The proposed mVDSR-GMM emerges as a promising tool for advancing satellite imagery resolution, with potential applications in remote sensing and geospatial analysis.
- MakaleAçık Erişim2026Scopus SJRQ1Effect of sloe berry (Prunus spinosa L.) powder addition on physicochemical, rheological, antioxidant, and sensory properties of stirred yoghurt: a multivariate approach
Yeniçeri, Esra; Ürkek, Bayram; Şengül, Mustafa
In this study, stirred yogurt was produced using sloe berry powder at different ratios (0, 2, 4, 6, and 8%) and stored for 21 days. The effect of sloe berry powder addition on physicochemical properties was limited, whereas the effect of storage period was more pronounced. Lactic cocci and lactic bacilli counts ranged between 7.78–8.93 log CFU/g and 6.19–9.13 log CFU/g, respectively. Yeast and mold were detected in all samples after 14 days of storage. All color parameters were significantly affected by sloe berry powder addition (p <.001), whereas storage period had no significant effect (p >.05). Total phenolic content and antioxidant capacity increased with increasing levels of sloe berry powder. Only the potassium (K) content was affected by the addition of sloe berry powder. Viscosity and consistency values increased in yogurts containing 6% and 8% sloe berry powder on days 14 and 21 of storage. Sensory scores decreased in all samples at the end of storage. Principal component and correlation analyses indicated that the addition of sloe berry powder and storage period exerted distinct effects on the evaluated parameters. Overall, sloe berry powder can be considered a promising ingredient for the development of nutritional and functional stirred yogurt.
- MakaleAçık Erişim2026Scopus SJRQ1Game-based and individualized movement training improves physiological and motor outcomes in young adults with autism spectrum disorder: an experimental study from Türkiye
Aydın, Ahmet Serhat; Söyler, Mehmet; Zileli, Raif; Halmatov, Medera; Gürkan, Alper Cenk; Akcan, İbrahim Orkun; Yılmaz, Coşkun
Background: This study aims to examine the effects of game-based and individualized movement training (GBIMT) program on physiological (body weight, body fat percentage, BMI) and motor outcomes (balance, reaction time, motor speed) in young adults diagnosed with autism spectrum disorder (ASD). Methods: An experimental design with pre-test–post-test control groups was used in the study. A total of 20 participants (10 in the experimental group, 10 in the control group) with a mean age of 22.2 ± 4.8 years were monitored for eight weeks. The experimental group participated in GBIMT sessions for 60 min per day, two days per week, while the control group continued their usual educational routines. Body composition (InBody 270 Body Composition Analyzer, model Plus 270, South Korea), balance (TechnoGym, Cesena, Italy), reaction time (BlazePod Ltd., Israel), and motor speed (Computerized Tapping Test, Neurosoft Inc., USA) parameters were used as measurements. Results: Repeated measures ANOVA results indicated a significant reduction in body weight in terms of the experimental group (p = 0.014, η² = 0.289). Large effect sizes were observed for body fat percentage and BMI; however, the group × time interactions were not found to be statistically significant. A significant improvement was observed in the motor speed parameter within the experimental group (p = 0.032, η² = 0.231). Reaction time decreased by 9.8%, although the group × time interaction stayed within the significance limit (p = 0.063). A trend toward improvement was observed in balance parameters; however, no statistically significant difference was found. Conclusion: The findings indicate that GBIMT produced significant improvements in body composition and motor speed after implementing for eight weeks, and also showed a strong tendency to affect reaction time. As a controlled experimental study conducted in Türkiye, this research offers a unique contribution to the literature by demonstrating the effects of game-based and individualized movement programs on both physiological and motor outcomes in individuals with ASD. Trial registration: GameBased and Individualized Movement Training Improves Physiological and Motor Outcomes in Young Adults with Autism Spectrum Disorder An Experimental Study From Türkiye, ClinicalTrials.gov NCT07170891, Date 20,062,025.
- MakaleAçık Erişim2026Scopus SJRQ1Examination of Post-Traumatic Stress Reaction, Quality of Life, and Loneliness Levels in Adolescents Who Experienced an Earthquake
Akay, Gamze; Koç, Elif Simay; Oğuzhan, Hatice
The aim of this study is to investigate the relationship between post-traumatic stress, quality of life, and loneliness levels in adolescents following the earthquakes centered in Kahramanmaraş. The research, designed as descriptive and correlational, was conducted with 701 children aged 13–18 who experienced the earthquake in Kahramanmaraş. Data were collected through a Demographic Information Form, the Child Post-Traumatic Stress Reaction Index, the Pediatric Quality of Life Inventory, and the UCLA Loneliness Scale-Short Form. Ethical principles were adhered to throughout the study. Female adolescents were found to have higher levels of post-traumatic stress (t = 3.508, p < 0.001) and lower quality of life (t = 4.223, p < 0.001). The adolescents exhibited severe levels of post-traumatic stress (55.25 ± 13.80). It was determined that the mother’s education level (F = 4.423, p = 0.002), the father’s occupation (F = 2.859, p = 0.036), and perceived income level (F = 5.912, p = 0.003) significantly influenced adolescents’ loneliness levels. The father’s occupation (F = 3.403, p = 0.017) was found to have a significant effect on post-traumatic stress levels, and perceived income level (F = 4.753, p = 0.009) had a significant effect on quality of life. A moderate negative correlation was found between post-traumatic stress levels and quality of life (r = −0.474, p < 0.001), and a weak positive correlation was observed between post-traumatic stress and loneliness levels (r = 0.215, p < 0.001). A weak negative correlation was also found between quality of life and loneliness levels (r = −0.284, p < 0.001). A moderate negative correlation was found between adolescents’ post-traumatic stress levels and quality of life, while a weak positive correlation was observed between post-traumatic stress levels and loneliness. It is recommended to provide psychological support and guidance services aimed at reducing post-traumatic stress and loneliness levels in adolescents.
AtıfScopus3WoS3OpenAlex3
İncele - MakaleAçık Erişim2026Scopus SJRQ2The Rag Doll as a Folkloric Handicraft in the Malatya Region: The Case of Azet Bacı; [Malatya Yöresinde Folklorik El Sanatı Ürünlerinden Oyuncak Bez Bebek: Azet Bacı Örneği]
Solmaz, Fatih; Bektaş, Ahmet
The production of cloth dolls, which are considered among traditional and folkloric handicrafts, dates back to ancient times. Through their folkloric clothing styles, regional embroideries, decorative details and symbols, these dolls facilitate the transmission of regional culture, embodying tangible cultural heritage alongside artistic and aesthetic elements. Produced in various regions of Anatolia, cloth dolls reflect the unique cultural identity of each locality. Specifically, dolls produced in Malatya, such as Aşhan Bacı, Azet Bacı, Eşe/Ayşe Bacı, Fatma Bacı, Hatice Bacı and Hamdi Dayı display the daily life of the region through their authentic attire. In this study, a qualitative research method was adopted. Through document analysis, the historical and cultural background of folkloric cloth dolls was researched by examining academic publications, articles, and books within the literature. Furthermore, the Azet Bacı cloth doll, belonging to the Malatya Yeşilyurt (Çırmıktı) region, was directly observed, and its clothing, apparel, and decorative elements were analyzed in detail. The obtained data were interpreted within the framework of cultural indicators. Cloth dolls serve the purpose of transferring a nation’s cultural codes and social roles from generation to generation. Emerging within a cultural structure, these toys entertain children, contribute to their cognitive development and prepare them for marriage and family life. Simultaneously, they contribute to the development of social skills such as leadership, solidarity, sharing, and cooperation, thereby guiding individuals’ future lives.
- 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.
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.
AtıfScopus3WoS4OpenAlex4İncele - 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 - 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.
- 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.
- 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.
- 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.
- MakaleAçık Erişim2026Scopus SJRQ1The effect of behavioral factors related to cashlessness on the perception of green finance
Özbek, Adem; Çam, Alper Veli; Soydaş, Şafak Sönmez; Barut, Abdulkadir; Sharabati, Abdel-Aziz Ahmad
This study aims to examine the effects of behavioral factors shaping cashless payment behaviors in Turkey on green finance perception. The study focuses on subconscious factors such as functional benefit, economic benefit, psychological benefit, attitude toward technology, and perceived behavioral control. Data were collected from 520 participants aged 18 and older via an online survey and analyzed using Structural Equation Modeling (SEM). The findings reveal that functional benefit, perceived behavioral control, and attitudes toward technology significantly and positively influence perceptions of green finance, while economic and psychological benefits do not have a significant effect on behavioral control. The results reveal that behavioral factors such as ease of use and attitudes toward technology play a more significant role in individuals’ adoption of cashless payment systems than rational economic gain expectations. The study contributes to the literature by showing that cashless payment behaviors contribute to the development of sustainable finance and environmental awareness. It also provides practical recommendations for policymakers and financial institutions on improving digital payment infrastructure and user experience to promote green finance.
- MakaleAçık Erişim2026Scopus SJRQ1A Deep Learning–Based Framework for Automatic Determination of Developmental Dysplasia of the Hip from Graf Angles
Taşolar, Sevgi; Günen, Mehmet Akif; Sığırcı, Ahmet; Taşolar, Hakan
Developmental dysplasia of the hip (DDH) is a common neonatal condition that necessitates early diagnosis to ensure effective treatment. The traditional Graf method, while widely used for evaluating infant hips via ultrasound, is limited by operator dependency and measurement variability. This research has proposed a framework using deep learning network, morphological operation and local maxima method to diagnose DDH in newborns using ultrasound images. The method utilizes DeepLabv3 + for image segmentation, evaluating multiple backbone architectures (ResNet50, InceptionResNetV2, MobilenetV2, and Xception) to identify the region of interest accurately. Local maxima method was used to determine the extremum points of the line defining the Graf angles. Denoising filters, including mean, median, and Wiener, are applied to determine local maxima points accurately. The evaluation comprises two stages: first, assessing the performance of DeepLabv3 + backbones in producing masks for Graf angles determination, and second, comparing the angles obtained through proposed framework with those determined by expert radiologists. Comparative analysis demonstrates that MobileNetV2 (94.64 accuracy, 86.99 Cohen’s kappa, 94.31 F-score) surpasses other models in segmentation accuracy and measurement reliability. This conclusion is backed by key performance metrics such as accuracy, IoU, PSNR, F-score, SSIM, Cohen’s kappa, as well as by the intraclass correlation coefficient and Bland–Altman analyses. The proposed framework shows considerable promise in automating hip ultrasound analysis for DDH diagnosis, minimizing operator dependency while enhancing measurement consistency.
AtıfScopus1WoS2OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ1Modulation of Hot Pepper Pungency by Melt Dispersion Encapsulation: Role of Wax Type on Microcapsule Structure, Bioactive Compound Content, and Antioxidant Activity
İncegül, Yasemin; Berktaş, Serap; Çam, Mustafa
In this study, it was aimed to suppress pungency and obtain a new product by using carnauba, beeswax, and their mixture in the encapsulation of hot pepper oleoresin. Melt dispersion technique was used in production and physical, chemical, and structural analyzes of the obtained capsules were examined. The suppression of the pungency sensation was determined by sensory analysis, and it was determined that the beeswax-based capsule (BW50) was the most effective formulation in suppressing pungency perception (0.83). When looking at the sensory and Scoville Heat Units (SHU) results, there is a parallelism, and it can be stated that the pungency sensation is suppressed. The highest encapsulation efficiency values were observed in CW20 (91.92%), BW20 (90.69%), BC20 (86.92%), and CW30 (86.49%) capsules. When capsule bioactivities were examined, beeswax capsules showed the highest values, while carnauba wax capsules generally showed the lowest values. As expected, as the amount of oleoresin in the capsules increased, the capsules exhibited higher phenolic, flavonoid, carotenoid, and antioxidant activity scores. SEM, FT-IR, and TGA determined that the encapsulation process did not cause any adverse structural reactions in oleoresin. This study broadened the potential application of encapsulated hot pepper oleoresin in food formulations, particularly in functional foods and products intended for consumers sensitive to pungency, by converting it into a more tolerable form.
- MakaleAçık Erişim2026Scopus SJRQ4Semantic Architecture and Knowledge Evolution of Endoscopic Submucosal Dissection Research: A Computational Bibliometric Analysis
Demir, Huseyin; Akar, Tuncay; Mertoglu, Suleyman; Tekinarslan, Merve
Aim: The overarching intellectual structure, dominant thematic clusters, and longitudinal evolution of the endoscopic submucosal dissection (ESD) literature have yet to be systematically mapped. This study aims to characterize the semantic and thematic architecture of ESD research through computational text analytics and to reveal latent structural patterns and temporal dynamics within this domain. Methods: A corpus of 1,000 peer-reviewed publications was processed through an eight-stage computational pipeline that incorporated word embedding-based semantic analysis, unsupervised clustering, Latent Dirichlet Allocation (LDA) topic modeling, inter-topic network analysis, and temporal trend modeling. The primary outcome was characterization of the semantic architecture of ESD research, whereas secondary outcomes included topic relationships, temporal evolution, and model performance metrics. Results: Semantic analysis revealed two dominant clusters: a technically oriented domain encompassing device innovation and procedural optimization and a clinically oriented domain addressing therapeutic outcomes, organ-specific protocols, and adverse event management. Topic modeling identified nine coherent thematic categories, with limited integration between technical and clinical research trajectories. Temporal analysis revealed a pronounced post-2024 shift toward upper-gastrointestinal applications, particularly esophageal and gastric ESD, with relative stagnation in colorectal investigations. The optimal semantic clustering solution achieved a silhouette score of 0.215, while the nine-topic LDA model demonstrated a coherence score of 0.39. Conclusion: This study provides the first data-driven macro-structural characterization of the ESD literature, revealing a persistent bifurcation between technical innovation and clinical application streams. These findings offer a strategic framework to help clinicians, investigators, and curriculum developers identify priority areas for advancement in therapeutic endoscopy.