Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(77)
- Merdan, Mehmet(73)
- Duran, Celal(54)
- Ozdes, Duygu(50)
- Baltaci, Cemalettin(45)
- Kaygusuz, Abdullah(45)
- Kulakaç, Nurşen(39)
- Ashyralyyev, Charyyar(38)
- Karsli, Orhan(37)
- Demir, Selim(36)
- Öztürk, Serkan(36)
- Dokuz, Abdurrahman(35)
- Turan, Ibrahim(35)
- Araz, Onur(33)
- Kandemir, Raif(31)
- Sipahi, Ferkan(30)
- Topal, Fevzi(30)
- Kurt, Kemal(28)
- Peker, Iskender(28)
- Arslan, Mehmet(27)
- Baltacı, Cemalettin(27)
- Maden, Nafiz(27)
- Ozturk, Samet(27)
- Aydin, Aydanur(26)
- Vural, Alaaddin(26)
- Bayrakdaroglu, Serdar(25)
- Kurnaz, Muammer(25)
- Reis, Hatice Catal(25)
- Akar, Zeynep(24)
- Aydin, Faruk(24)
- Gücer, Mehmet Ali(24)
- Topal, Meryem(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Anaç, Halil(23)
- Kankal, Murat(23)
- Ürkek, Bayram(23)
- Aliyazicioglu, Yuksel(22)
- Günen, Mehmet Akif(22)
- Tuncer, Metin(22)
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Structural joint modeling of magnetotelluric data and Rayleigh wave dispersion curves using Pareto-based particle swarm optimization: an example to delineate the crustal structure of the southeastern part of the Biga Peninsula in western Anatolia
Büyük, Ersin; Zor, Ekrem; Tapırdamaz, Mustafa Cengiz
It is widely acknowledged that the joint inversion of magnetotelluric and seismological datasets enhances the quality of the crustal structure solution, even when the physical correlation between electrical resistivity and seismic velocity is weak or indirect. The structurally coupled joint inversion approach has received considerable attention over the past two decades for its ability to estimate such parameters by penalizing their cross-gradient vectors at similar spatial positions. Despite this interest, various structural couplings and different physical directions (incremental or decremental) have been partially overlooked. We hereby propose an approach for the joint inversion of magnetotelluric (MT) and Rayleigh wave dispersion (RWD) data to estimate uncorrelated parameters by integrating particle swarm optimization (PSO) and the Pareto optimality approach. We used the optimality framework of these methods to overcome the difficulties associated with traditional joint inversion algorithms and to obtain optimal solutions that account for both similar and contrasting physical sensitivities. The significant correlation between the inverted and synthetic models under both noise-free and noisy datasets, together with the consistent results obtained from comparison with a traditional derivative-based joint inversion algorithm, further strengthened our confidence in applying the proposed modeling approach to the field data from the southeastern Biga Peninsula, western Anatolia. The models inverted from the field data corroborate the efficacy of the presented method. A notable characteristic of the proposed methodology is its capacity to estimate uncorrelated physical parameters, such as electrical resistivity and seismic velocity, without the imposition of penalties. Therefore, the presented method not only offers advantages in joint inversion but also allows modelers to observe and analyze model parameters having different sensitivities that may indicate different physical directions.
- MakaleAçık Erişim2026Scopus SJRQ4GREEN SYNTHESIS AND STRUCTURAL CHARACTERIZATION OF IRON OXIDE NANOPARTICLES FROM ROBINIA PSEUDOACACIA L. FRUITS FOR DYE REMOVAL FROM AQUEOUS SOLUTIONS
Demir, Semra; Akar, Bülent; Baltaci, Cemalettin
In this study, iron oxide nanoparticles were produced and characterized using a green synthesis method with Robinia pseudoacacia fruits. The structural and functional properties of the nanoparticles were investigated using XRD, TEM/EDX, and FTIR analyses. The results indicated that the produced iron oxide nanoparticles had nanoscale particle sizes and exhibited a poorly crystalline (predominantly amorphous) structure according to XRD analysis. The comparative adsorption performance of the synthesized FeONPs and fruit powder in the removal of malachite green (MG), phenol red (PR) and methylene blue (MB) from aqueous solutions was evaluated. According to the results, the adsorption capacity followed the order MB> MG > PR. FeONPs exhibited consistently higher Qₑ values across all dye systems compared to the fruit powder. High removal efficiencies were obtained at low and moderate initial concentrations, while increasing the adsorbent dose enhanced the overall removal but resulted in a reduction in the adsorption capacity per unit mass. The obtained findings indicate that biosynthesized iron oxide nanoparticles can be used as an efficient and environmentally friendly adsorbent for eliminating environmental pollutants.
- MakaleYalnız künye2026Scopus SJRQ1Optic disc segmentation: Improved U-Net model and hyperparameter optimization with harmony search algorithm
İncir, Ramazan; Bozkurt, Ferhat
Vision loss negatively impacts individuals quality of life, creating a societal issue. As stated by the World Health Organization, vision loss is significant concern among health problems. Glaucoma and Diabetic Retinopathy are among the primary causes of vision impairment and loss. Early diagnosis of these diseases is crucial for guiding appropriate treatment. Optical disc segmentation plays a key role in diagnosing these diseases and helps in effectively detecting them through the analysis of retinal images. This study proposes method based on the automatic processing of fundus images to contribute to the early diagnosis of eye diseases. Improved U-Net architecture developed for optical disc segmentation is used. To enhance the models performance, the improved U-Net architecture has been strengthened with residual and custom convolution blocks. Genetic Algorithm, Particle Swarm Optimization Algorithm, Ant Colony Optimization and Harmony Search Algorithm were used for hyperparameter optimization. Comparisons showed that the Harmony Search Algorithm achieved better results, improving overall model performance and providing more accurate segmentation outcomes. The models performance has been tested on the IDRiD and DRISHTI-GS datasets. The improved architecture outperformed existing methods in the literature. Significant improvements were observed in key segmentation metrics such as IoU and Dice coefficient. In experimental studies using the IDRiD and DRISHTI-GS datasets, the proposed model achieved IoU scores of 93.65% and 95.20% and Dice scores of 96.72% and 97.54% respectively. The model was able to accurately define optical disc boundaries even in low contrast and complex images. The obtained success demonstrates the models potential as valuable tool for the early diagnosis of vision loss causing diseases.
AtıfScopus1WoS1İncele - MakaleYalnız künye2026Scopus SJRQ1Optimal design of a novel enhanced inerter-based tuned mass damper in seismic-excited structures considering SSI effects
Araz, Onur; Shahraki, Mohammad Alibabaei
This paper proposed a novel enhanced inerter-based tuned mass damper (E-TMDI) for the control of damped single-degree-of-freedom structures due to ground acceleration. The apparatus represents an energy-dissipating passive absorber assembled from a pair of inerter elements, a pair of springs, a single mass, and a single damper. The present work directly integrates soil-structure interaction (SSI) effects within the optimization process, thereby yielding more accurate and dependable outcomes. For a clearer insight into the control mechanism of E-TMDI, the frequency-domain transfer function for responses is derived, while the influences of various model parameters on the displacement amplitude magnification factor of the superstructure both considering and neglecting SSI are examined. Four design parameters (i.e., f 1 first frequency ratio, f 2 secondary frequency ratio, ξ1 damping ratio, and κ inertance ratio of the second inerter to the first) of E-TMDI are obtained using particle swarm optimization (PSO) algorithm to minimize peak displacement amplitude of the structure. Results from the frequency domain analyses in this research indicate that the proposed E-TMDI has better efficiency and frequency band property both traditional TMD and TMDI configurations when equipped with same total mass (μ) and inertance ratio (β) in suppressing structural vibrations. Additionally, the stability of the proposed device is examined through simulations of the E-TMDI-equipped structure under a range earthquake record. The findings reveal that the E-TMDI maintains superior effectiveness even when the host structure experiences diverse earthquake events. This validation, conducted under real earthquake records, confirms the reliability of this design framework, filling a significant gap in determining the seismic control performance of E-TMDI under varying soil conditions.
AtıfScopus19WoS19OpenAlex20İncele - MakaleAçık Erişim2026Scopus SJRQ1The Mediating and Moderating Roles of Innovation Climate in the Relationship Between Nurses’ Attitudes Toward Artificial Intelligence, Creative Self-Efficacy, and Clinical Competence
Karakaya Suzan, Ozge; Gül, Uğur; Koyuncu, Oğuz; Akdeniz, Canberk
Background: Artificial intelligence (AI) is increasingly integrated into health care; however, how nurses’ attitudes toward AI and creative self-efficacy are associated with perceived clinical competence within different organizational contexts remains unclear. Aim: To examine whether perceived climate for innovation statistically mediates the association between nurses’ attitudes toward AI and perceived clinical competence and moderates the association between creative self-efficacy and perceived clinical competence. Methods: This cross-sectional study included 233 nurses recruited online by convenience sampling from hospitals in Türkiye between January and March 2026. Self-report measures assessed attitudes toward AI, creative self-efficacy, perceived climate for innovation, and perceived clinical competence. Pearson correlations and PROCESS Models 4 and 1 with 5000 bootstrap samples tested statistical mediation and moderation. Adjusted analyses included age, gender, previous AI-related training and AI use, educational level, professional experience, and institution type. Results: Attitudes toward AI were indirectly associated with perceived clinical competence through perceived climate for innovation; the adjusted indirect association remained significant (B = 0.0700, SE = 0.0333, 95% CI [0.0173, 0.1453]), consistent with partial statistical mediation. Perceived climate for innovation also moderated the association between creative self-efficacy and perceived clinical competence after adjustment (interaction B = −0.1672, SE = 0.0447, 95% CI [−0.2552, −0.0792]). This positive association became weaker as perceived climate for innovation increased. Conclusion: Attitudes toward AI, creative self-efficacy, perceived climate for innovation, and perceived clinical competence were significantly associated, and the statistical mediation and moderation patterns remained after adjustment. The cross-sectional, self-report data do not establish temporal or causal mechanisms or effects on objectively measured clinical performance or patient outcomes. Implications for Nursing Management: Nurse managers may consider supporting AI literacy, safe AI use, team-based learning, and innovation-supportive work environments. These strategies should be evaluated prospectively using objective clinical and patient outcomes before their effectiveness is inferred.
- MakaleYalnız künye2026Scopus SJRQ2Honeybee Silk: A Promising Value-Added Biomaterial with Antioxidant, Antimicrobial, Antihyaluronidase, and Microstructural Characteristics
Yildiz, Oktay; Değirmenci, Atiye; Boyraci, Gulsum Merve; Aksoy, Canan
Bee products with their huge potential are becoming more valuable beyond food industry. Honeybee silk is non-utilized biomaterial in any commercial applications and even burned during the processing of beeswax. Although studies concerning insects silks are commonly on spider and silkworm silks, honeybee silk remains unexplored. Scanning electron microscope and energy dispersive X-ray spectroscopy (SEM–EDX) were used to identify chemical composition via elemental mapping of the native form of honeybee silk. Honeybee silk, in the form of thin layer inside the honeycomb cells, was processed through a series of steps to separate it from beeswax. Protein content was evaluated and revealed a composition of approximately 11.69%, indicating its strong biopolymeric origin. Amino acid analysis of honeybee silk performed by RP-HPLC revealed the presence of both polar and nonpolar amino acids, indicating a well-balanced amino acid profile. Antioxidant, antimicrobial, and anti-hyaluronidase properties of processed honeybee silk were presented. The methanolic extracts of honeybee silk were found to have higher total phenolic content (TPC) and antioxidant activity as assessed by DPPH (2,2-diphenyl-1-picrylhydrazyl) and FRAP (ferric reducing antioxidant power) assays than the aqueous extracts. While no antimicrobial activity was found for aqueous extracts, methanolic honeybee silk extract exhibited antimicrobial activity against Escherichia coli, Staphylococcus aureus, Bacilluscereus, Staphylococcus epidermidis, and Candida albicans. The hyaluronidase inhibition values (IC50) were found as 0.0094 and 0.0079 g/mL for aqueous and methanolic honeybee silk extracts, respectively. The aforementioned findings indicate that honeybee silk as a promosing value-added product is worthy of attention from pharmaceutical industries and future studies.
- MakaleYalnız künye2026Scopus SJRQ2Impact of stress ball intervention on satisfaction, comfort and anxiety in hemodialysis patients: a randomized controlled trial
Salti, Aysun Kazak; Topali, Hasret; Turkmen, Osman Oğulcan
Hemodialysis (HD) patients commonly experience psychological distress and anxiety, which may affect their comfort and satisfaction during treatment. This study examined the overall impact of stress ball use on satisfaction, comfort, and anxiety among individuals receiving HD. A total of 46 patients were randomized between January and July 2025. Three participants in the intervention group withdrew before completing the study; therefore, the final analysis included 43 patients (20 in the stress ball group and 23 in the control group). Data were collected using the Patient Information Form (PIF), Visual Analog Patient Satisfaction Scale (VAPSS), Hemodialysis Comfort Scale (HCS), Distress Thermometer (DT), and Visual Analog Scale for Anxiety (VAS-A). Patients in the intervention group used a stress ball for at least 15 minutes during each of twelve HD sessions. Measurements were obtained at baseline, midpoint, and post-test, while the control group received standard care and was assessed concurrently. The study findings demonstrated that anxiety levels decreased over time in the stress ball group, whereas they increased in the control group. Similarly, distress levels decreased in the stress ball group, while no significant change was observed in the control group. HD comfort scores decreased in the stress ball group but increased in the control group. In contrast, no statistically significant difference was found between the groups in terms of the VAPSS scores. These results highlight the potential value of simple distraction techniques in clinical settings for further improving psychological outcomes.
- MakaleYalnız künye2026Scopus SJRQ1Classification and detection of Salmonella, Escherichia coli O157:H7, and Listeria monocytogenes using Fourier-transform near infrared spectroscopy coupled with machine learning
Ozturk, Samet; Huang, Lihan; Hwang, Cheng-An; Sheen, Shiowshuh
This study was conducted to investigate the potential use of Fourier-transform near-infrared (FT-NIR) spectroscopy combined with machine learning (ML) algorithms to accurately identify three foodborne pathogens, including Salmonella spp., Listeria monocytogenes, and Escherichia coli O157:H7. Each bacterial strain (two per pathogen) was individually cultured and purified through sequential washing using ethanol–deionized (DI) water solutions. Each purified culture was transferred into each well of a 96-well cell plate covered with custom-cut filter paper and then vacuum dried at 50 °C under 20 kPa for 1 h. The absorbance spectra of dehydrated bacterial cells were then acquired across the range of 1000–2400 nm using a diffuse reflectance probe connected to a FT-NIR process analyzer. To identify the optimal classification pipeline, the acquired spectra were analyzed using ten different pre-processing methods, three feature selection methods, and supervised algorithms including partial least squares discriminant analysis (PLS-DA), support vector machine (SVM), random forest (RF), artificial neural network (ANN), and convolutional neural network (CNN). Furthermore, the accuracy of the developed ML pipelines was further enhanced through under-sampling and boosting steps. The results demonstrated that SVM, RF, ANN and CNN outperformed PLS-DA, where the classification accuracies were above 90%. The findings demonstrate that using Savitzky-Golay first derivative (SG1) filtering to pre-process the full spectra followed by SVM classification yielded the highest accuracy, achieving 95.3% overall accuracy in ML pipeline. This study highlights the powerful capability of FT-NIR spectroscopy coupled with ML algorithms to detect and identify foodborne pathogens on dehydrated surfaces in process environments.
AtıfScopus3WoS3OpenAlex3İncele - MakaleYalnız künye2026Scopus SJRQ1Effects of dual and single spark plug configurations on energy, exergy, and exhaust emissions in a spark ignition engine
Altın, İsmail; Bayraktar, Hakan; Sezer, İsmet
Effects of dual spark plug (DSP) operation in a spark ignition (SI) engine on energy, exergy, and exhaust emissions are numerically investigated in this study. A quasi–dimensional SI engine cycle model is used for the analyses. The practical correlations with no assume the fluid dynamics are occupied for the simulation of intake and exhaust periods and the turbulent flame propagation analogy is assigned for the modeling of combustion. The second law of thermodynamics is added to the cycle model to execute the exergy analysis. The thermodynamic parameters such as in–cylinder pressure and temperature, ignition delay, and burn duration with the engine performance parameters are evaluated in the energy analysis. The exergies transferred via heat, work, and exhaust gases, besides destroyed exergy, fuel chemical exergy, thermomechanical exergy and total exergy are compiled for the exergy analysis. The carbon monoxide (CO), nitrogen oxide (NO), and carbon dioxide (CO2) emissions are defined for emission performance analysis. The results show that DSP operation affects moderately energy, exergy, and exhaust emissions. The best results were obtained at dimensionless spark plug location (ratio of spark plug location radius to cylinder radius–Xsp) of 0.2 for DSP compared to centrally located single spark plug (SSP).
- MakaleAçık Erişim2026Scopus SJRQ4La2O3 addition's effect on sodium-barium borosilicate glasses' radiation shielding capability: WinXCOM and EGS4 Monte Carlo analysis
Kaya, Selim
This study thoroughly investigated the impact of La2O₃ inclusion on the radiation shielding effectiveness of sodium-barium borosilicate glasses using EGS4 Monte Carlo simulations and WinXCOM computations. The gamma-ray shielding behavior of a set of glass samples was systematically investigated over a wide photon energy interval ranging from 50 to 2506 keV. The glass compositions were modified through the stepwise substitution of Na₂O with La₂O₃. Key radiation interaction and shielding metrics—including the mass attenuation coefficient (μ/ρ), half-value layer (HVL), mean free path (MFP), radiation protection efficiency (RPE), effective atomic number (Zeff), and kerma coefficients—were determined and comparatively evaluated. The results demonstrate that the progressive incorporation of La₂O₃ leads to a marked enhancement in radiation shielding performance, particularly within the low-and intermediate-photon energy ranges where photoelectric interactions prevail. The inclusion of La₂O₃ results in increased material density, μ/ρ, Zeff, and kerma values, while simultaneously reducing (HVL) and MFP.In conclusion, sodium-barium borosilicate glasses treated with La₂O₃ have better radiation attenuation capacities than their La₂O₃-free counterparts. These results validate the effectiveness of La₂O₃ substitution as an approach for customizing borosilicate glass systems for applications that need improved radiation shielding.
- MakaleYalnız künye2026Scopus SJRQ1The effect of acupressure on symptom management in children: A meta-analysis of randomized controlled trials
Akay, Gamze; Yıldız, Muhammed; Oğuzhan, Hatice; Uzun, Sevda
Purpose Pediatric patients often experience distress, pain, and nausea during medical procedures. This meta-analysis aimed to synthesize current evidence on the potential efficacy of acupressure on symptom management among pediatric patients aged 0–19 years. Design and methods This study was designed as a meta-analysis of randomized controlled trials . The literature search was conducted in PubMed, Web of Science, Scopus, EBSCOhost, Google Scholar, and the YÖK Thesis Center in January 2025 and updated in August 2026, with no restriction on publication year. After the reviews, 17 studies were included in the study. The data were synthesized by meta-analysis and narrative methods. Results The pooled analysis indicated that acupressure was associated with statistically significant reductions in reported anxiety (SMD = −1.021, p < 0.001), pain (SMD = −1.397, p < 0.001), and nausea (SMD = −0.388, p = 0.006). However, substantial statistical heterogeneity was observed for anxiety (I2 = 78.8%) and pain (I2 = 94.4%), and the number of studies available for each outcome was limited (anxiety: n = 6; pain: n = 9; nausea: n = 4). Conclusions and practice implications Current evidence suggests that acupressure may be a promising complementary approach for managing anxiety, pain, and nausea in pediatric patients. However, given the small number of studies per outcome, small sample sizes, and high statistical heterogeneity, these findings should be interpreted with caution. Further rigorous, well-designed RCTs are required to confirm these observations before routine clinical implementation can be recommended.
- MakaleYalnız künye2026Scopus SJRQ3The Role of Religion and Spirituality in Coping With Stigmatization in Individuals Who Commit Homicide: a Phenomenological Study
Uzun, Sevda; Aslan, Çimen
This study aimed to evaluate the role of religion and spirituality in coping with stigmatization in individuals who commit homicide using a phenomenological approach. In the analysis of the data, two themes (the effects of committing crime on the individual, thoughts on the role of spirituality in coping with stigmatization) and six sub- themes (spiritual, social, physical, stigmatization, spirituality and coping) were identified. As a result of the study, it was determined that individuals who commit crimes are psychosocially affected very negatively and experience stigmatization due to the situation they experience.
- MakaleAçık Erişim2026Scopus SJRQ2A novel cloud point extraction method using a benzimidazole-based ligand for the preconcentration of toxic heavy metals in water and food samples
Ozdemir, Olcay; Duran, Celal; Mentese, Emre; Ozdes, Duygu
In the present research, a novel cloud point extraction (CPE) method was developed for the separation and preconcentration of toxic Cu(ii), Ni(ii), Pb(ii), and Cd(ii) ions in environmental water and vegetable samples, prior to their determination by flame atomic absorption spectrometry (FAAS). The ligand 2-(2-(4-fluorobenzyl)-1H-benzo[d]imidazole-1-yl)acetohydrazide (FB-BIAH) was employed for the first time as an analytical complexing agent for the aforementioned metal ions, and Triton X-114 (TX-114) was preferred as the nonionic surfactant. Within the scope of optimizing CPE conditions, experimental parameters, such as pH, FB-BIAH and surfactant amounts, and incubation temperature and time, as well as centrifugation speed and duration, were systematically investigated. The optimal conditions for the simultaneous quantitative recovery of analyte ions were established as pH 7.0, an FB-BIAH amount of 2.5 mg, a TX-114 quantity of 25 mg, an incubation temperature of 60 °C, and an incubation time of 30 min. Under optimal conditions, the proposed method was successfully applied to river water and seawater, as well as different vegetable samples such as lettuce, parsley, and pepper. The results obtained demonstrated that the analyte ions could be reliably determined in complex matrices and that the method exhibited high analytical performance. Due to its simplicity, rapid applicability, environmentally friendly nature, and cost-effectiveness, the proposed CPE-FAAS method represents a promising approach for the routine analysis of toxic heavy metals in environmental water and food samples. This journal is
AtıfScopus2WoS2OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ1The effect of eHealth-based guided self help interventions for binge eating disorder : a meta-analysis of randomized controlled trials
Tuncer, Gülsüm Zekiye; Tuncer, Metin
With rapid technological advancements, eHealth-based guided self-help interventions have become accessible, flexible, cost-effective, and stigma-reducing treatment options for binge eating disorder (BED). This meta-analysis evaluated the effectiveness of these interventions in individuals diagnosed with BED or showing BED symptoms, based on eight randomized controlled trials with 1,575 participants. Intervention length varied between a single session to four months. Six studies focused solely on web-based guided self-help interventions, one study implemented a hybrid approach combining face-to-face and online components, and another study employed two distinct online guided self-help methods. The interventions included psychoeducational modules, therapist feedback, online behavior monitoring, and self-assessments. eHealth-based guided self-help significantly reduced binge eating psychopathology (SMD: 0.53; 95% CI: 0.20–0.86) and objective binge eating (OBE) days (SMD: 0.49; 95% CI: 0.12–0.85) compared to controls. These interventions offer effective solutions for individuals facing barriers to traditional treatment access.
AtıfScopus2WoS2İncele - MakaleYalnız künye2026Scopus SJRQ1Efficient ensemble learning with multi-scale fusion based deep neural network for skin lesion classification
Reis, Hatice Catal; Turk, Veysel
Melanoma, a type of skin cancer, is a severe skin cancer that is critical for early diagnosis but difficult to detect. Deep learning is promising in melanoma diagnosis because it can automatically analyze visual features and perform end-to-end learning. However, achieving the optimum balance between performance and computational efficiency for the effective use of these models in clinical applications is an important research topic. In this study, three innovative methods are proposed for skin cancer detection: PADSCNet, P-DEFF, and M–DEFF. The PADSCNet is an effective neural network developed with CNN and multi-head attention techniques, designed with fusion methods, and stands out with its minimum number of parameters despite being quite deep. The P-DEFF and M–DEFF are based on ensemble learning techniques; P-DEFF was developed with a single deep learning model, and M–DEFF was developed with multiple pre-trained deep learning models. The proposed approaches were tested on the Skin Cancer: Malignant vs. Benign dataset, which was pre-processed using image enhancement techniques. According to the experimental results, PADSCNet achieved accuracy rates of 88.12 %, P-DEFF 93.75 %, and M–DEFF 95.00 %. In additional experiments conducted with the PADSCNet model, 93.12 % accuracy rates were achieved in the CNN for Melanoma Detection Dataset, and 95.00 % accuracy rates were achieved in the PH2 dataset. These findings show that the proposed methods are effective in skin cancer detection and can achieve successful results in clinical applications.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2026Scopus SJRQ1Electric field–induced inflammatory and angiogenic responses in rat female reproductive tissues: evidence for early extracellular matrix remodeling
Ozmen, Ozlem; Asci, Halil; Kolay, Oznur; Selcuk, Elif Nur; Yuksel, Duygu; Comlekci, Selcuk; Karabacak, Pinar
High-intensity electric fields (EFs) are increasingly encountered in occupational and environmental settings, raising concerns regarding their potential biological effects on hormonally responsive organs. However, the cellular and molecular responses of female reproductive tissues to short-term exposure to high-voltage EFs remain insufficiently characterized. This study aims to investigate EF-associated histopathological and immunohistochemical alterations in major female reproductive organs. Forty adult female Wistar albino rats were randomly assigned to five experimental groups (n = 8 per group): a control group (0 min) and four EF-exposed groups subjected to a nominal electric field intensity of 10 kV/m EF for 1, 5, 15, or 30 min using a custom-designed parallel-plate exposure system. The field intensity was verified at predefined measurement points within the exposure setup. Ovaries, uterus, and uterine tubes were examined using hematoxylin–eosin staining and semi-quantitative histopathological scoring. Immunohistochemical analyses were performed to evaluate the expression of tumor necrosis factor-α (TNF-α), vascular endothelial growth factor (VEGF), and osteonectin as markers of inflammation, angiogenesis, and extracellular matrix remodeling. Exposure to the electric field was associated with time-dependent histopathological alterations, including tissue edema, hemorrhage, epithelial degeneration, and leukocyte infiltration. The most pronounced ovarian and uterine changes were observed in the 30-min exposure group, whereas the uterine tubes exhibited comparatively milder structural alterations. Immunohistochemical analysis demonstrated increased TNF-α and VEGF expression in higher-exposure groups, suggesting activation of inflammatory and angiogenic pathways. Osteonectin expression was elevated in all examined reproductive tissues and was also detected in regions without overt morphological damage, indicating its potential sensitivity to early tissue stress responses associated with EF exposure. Significant correlations were observed between histopathological injury scores and immunohistochemical marker expression levels. Overall, short-term exposure to high-intensity electric field was associated with inflammatory signaling, angiogenic responses, and extracellular matrix remodeling in female reproductive tissues in this experimental model. These findings provide histological and immunohistochemical evidence of tissue responses to EF exposure and underscore the need for further studies incorporating comprehensive exposure characterization and additional molecular endpoints to better define potential reproductive health implications to high-voltage electric fields.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2026Scopus SJRQ1Paranormal Health Beliefs in Travel Motivation and Experiences: The Case of Gırnavaz Jinn
Şimşek Evren, Emine
This study was conducted to determine the travel motivations and experiences of paranormal health tourists. In the study, the Gırnavaz Mound in Mardin/Türkiye, where the tomb of the leader of the first Muslim jinn is located, was analyzed. The data were collected with semi-structured interviews conducted with 15 visitors and 2 religious officials. Four main themes and six subthemes were identified during the manual content analysis process. The main themes were named “Paranormal Story: Healing Jinn,” “Motivation for Paranormal Health Tourism,” “Paranormal Health Tourism Experiences,” and “Sense of Healing: Placebo.” Findings reveal that paranormal health tourists are motivated by feelings of helplessness and belief. Their experiences are shaped by ritual participation and shared emotional exchanges with others. The peak experience—encountering a jinn leader in a dream—can be disrupted by environmental factors. Those who reach the peak experience feel a sense of healing that can be attributed to the placebo.
- MakaleAçık Erişim2026Scopus SJRQ4Determining the Factors Affecting Football Fans' Satisfaction with Video Assistant Referee (VAR) Technology; [Futbol Taraftarlarının Video Yardımcı Hakem (VAR)’e Yönelik Memnuniyetlerini Etkileyen Faktörlerin Belirlenmesi]
Avci, İbrahim; Ayik, Öznur
Video Assistant Referee (VAR) technology has been introduced in the sports industry as a decision support system designed to assist referees in making the correct decisions when overseeing a sporting event. In Turkey, VAR technology has been deployed to lessen controversies in football matches, but it has not completely eliminated them. As a result, it is crucial to establish whether fans, a key stakeholder in the sports sector, are satisfied with VAR technology. In this context, the study aims to investigate the effects of football fans' perceived value and identification with VAR technology on their satisfaction with it. Furthermore, the mediating role of attitudes towards the technology and the moderating role of knowledge about VAR technology will also be examined. The study used the snowball sampling method, and data were obtained via an online survey, with 411 fans participating over the data collection period. Using the fan data, Structural Equation Modeling was performed using the AMOS tool, and the study hypotheses were tested. The research revealed that identification and perceived value of VAR technology have a positive effect on satisfaction with this technology, with attitude toward technology acting as a mediator. The level of knowledge about VAR technology has a moderating effect in the relationship between satisfaction and perceived value. These findings have practical and theoretical implications for both the sports sector and the academic discipline.
- MakaleAçık Erişim2026Scopus SJRQ2Immersive Virtual Reality as a Tool to Reduce Anxiety and Distress in Patients With Breast Cancer During Radiotherapy
Aydin, Aydanur; Uslu, Gonca Hanedan; Gursoy, Ayla
Background: – Virtual reality (VR) can be an innovative method to reduce patients’ anxiety and support their psychological health. Objective: – To evaluate the anxiety and distress-reducing effects of using immersive VR (IVR) intervention in breast cancer patients undergoing radiotherapy (RT). Methods: – Sixty breast cancer patients undergoing RT were recruited for the quasi-experimental study. The participants were divided into the intervention group and the control group. Anxiety and distress, the primary outcome measures, were assessed before the first and after the last radiation session using reliable scales. Patients in the intervention group watched a tranquil forest view with birdsong and meditation music during each RT session using IVR goggles. Results: – Both group patients had similar levels of anxiety and distress before the start of RT. After the intervention, the anxiety and distress of the patients in the intervention group decreased significantly compared with the control group. In addition, treatment-related comfort was higher in the intervention group. Overall, the majority of patients in the intervention group expressed a high level of satisfaction with this IVR experience. Conclusion: – Patients who experienced an IVR intervention showed less anxiety and distress, greater comfort, and higher satisfaction. This innovative technique can be used as a practical solution to alleviate anxiety and distress in various healthcare settings. Implications for Practice: – Immersive VR can be used in treatment and care interventions that cause anxiety and distress in oncology patients.
AtıfScopus6WoS5OpenAlex3İncele - MakaleAçık Erişim2026Scopus SJRQ1Impact of sprouting pretreatment on physicochemical properties and in vitro digestibility of buckwheat milk
Tunç, Merve Tuğçe; Yılmaz, Fırat; Akdoğan, Arda; Atalar, İlyas; Odabaş, Halil İbrahim
BACKGROUND: Buckwheat is a strategic raw material for plant-based milk production due to its gluten-free nature and rich bioactive profile. However, antinutritional factors and starch structure limit the nutritional quality and technological properties of such beverages. This study aims to investigate the effects of sprouting pretreatment (0, 24, 48, and 72 h) on the physicochemical properties, rheological behavior, phytic acid content, and in vitro protein/phenolics digestibility of buckwheat milk. RESULTS: As the sprouting duration increased, the viscosity of buckwheat milk decreased from 31.42 to 15.42 mPa s (at 72 h) due to the enzymatic hydrolysis of starch and proteins. Rheological analysis revealed that all samples exhibited weak gel behavior. Color analysis showed a decrease in lightness (L*) while redness (a*) and yellowness (b*) values significantly increased with sprouting. The results showed that sprouting significantly reduced phytic acid content, reaching its minimum at 72 h. The highest in vitro protein digestibility was observed at 24 h of sprouting, after which a relative decline occurred due to the formation of protein–polyphenol complexes and metabolic amino acid utilization. Furthermore, total phenolic content, flavonoid content, and antioxidant capacities measured after in vitro digestion were substantially higher in sprouted samples, especially at 48 and 72 h, than in the control. CONCLUSION: The results indicate that a sprouting duration of 48 h represents an optimal balance for the physical stability and nutritional enhancement of buckwheat milk. At this stage, significant increases in bioaccessible phenolics were achieved while maintaining a stable colloidal structure.