Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Kaygusuz, Abdullah(35)
- Sipahi, Ferkan(35)
- Karsli, Orhan(34)
- Dokuz, Abdurrahman(30)
- Duran, Celal(30)
- Kandemir, Raif(29)
- Ozdes, Duygu(28)
- Maden, Nafiz(27)
- Uzun, Sevda(27)
- Merdan, Mehmet(26)
- Vural, Alaaddin(26)
- Öztürk, Serkan(25)
- Araz, Onur(24)
- Kulakaç, Nurşen(24)
- Ashyralyyev, Charyyar(23)
- Yildiz, Salih(23)
- Yilmaz, Ozgur(23)
- Doğan, Kadir Caner(21)
- Arslan, Mehmet(20)
- Aydin, Faruk(20)
- Doğru, Bülent(20)
- Bayraktar, Alemdar(19)
- Kankal, Murat(19)
- Ayaydin, Hasan(18)
- Baltaci, Cemalettin(18)
- Yolcu, Halil(18)
- Cakir, Tufan(17)
- Cengiz, Ekrem(17)
- Demir, Selim(17)
- Gücer, Mehmet Ali(17)
- Akaryali, Enver(16)
- Artan, Seyfettin(16)
- Hayaloğlu, Pınar(16)
- Kaya, Afşin Ahmet(16)
- Tosunoğlu, Büşra(16)
- Uysal, Ibrahim(16)
- Kurt, Kemal(15)
- Ozturk, Samet(15)
- Reis, Hatice Catal(15)
- Aksakal, Vecihi(14)
Yayınlar
- MakaleYalnız künye2026Frustrated Entitlements and Micro-Aggressors in Julian Barnes's Novels, The Sense of an Ending and The Only Story
Günes, Mustafa
This article reads the male first-person narrators of Julian Barnes's The Sense of an Ending and The Only Story as gender microaggressors. Focusing on microaggression developed in social and feminist psychology, and on contemporary feminist philosophy's redescription of misogyny, the article argues that the rueful, self-critical retrospection these novels are usually praised for also serves as a vehicle for the quiet reproduction of patriarchal ideology. At the root of these microaggressions lies what the article terms 'frustrated entitlement', the felt grievance of someone who believes a tribute has gone unpaid. Feminist narratology supplies the analytic tools required to make this argument precise. Close reading distinguishes microaggressions performed by the younger protagonist within the storyworld from those enacted by the older narrator in the telling, and shows that both are absorbed into a rhetorical structure of 'bonding unreliability': the narrators name the gendered patterns of their own thought, and that very naming becomes the licence by which the patterns are kept in place. Set against the louder retrosexism of the postwar British male confessional novel in its more satirical and self-aggrandising mode, Barnes's decorous, retrospectively contrite narrators emerge as the most refined instance of an underexamined formal investment in contemporary British letters: the patient maintenance of patriarchal continuity through the voice of the man who is sorry.
- MakaleYalnız künye2026The Stranger at Home: Lived Experiences of Online Gambling Within the Family in Siirt, Türkiye
Bektaş, Ahmet; Toprak, Adnan; Solmaz, Mustafa; Solmaz, Fatih; Erbaş, Sefa; İliter, Seyfettin; Parlar, Yasin
Online gambling is a growing public health concern whose harms extend to the family, yet its familial consequences remain underexplored in contexts where gambling is illegal and extended-family ties are strong. This study examined how men who gamble online perceive gambling to affect their families in Siirt, Türkiye. Using a qualitative exploratory design, in-person semi-structured interviews with nine married or previously married men who currently or formerly gambled online (recruited via purposive and snowball sampling) were analyzed with a hybrid deductive-inductive, codebook thematic analysis (Fereday & Muir-Cochrane, 2006), informed by the six phases of Braun and Clarke (2006). Four themes were identified: entry into online gambling and the experience of addiction; the internal disintegration of the nuclear family; the household’s economic collapse and drift into crime; and the extended family, stigmatization, and the cultural framing of harm. Participants perceived gambling to erode communication and trust, dispossess the household, and displace men from the provider role, while family responses followed conventional gendered lines-disrupting the material division of roles while reactivating a traditional gender order. Distinctive contextual mechanisms emerged, including the extended family’s collective debt-clearing in exchange for religious oaths and the operation of stigma through kinship networks that threatened collective family honor. Because all participants were gamblers, the findings reflect their perceptions of family impact rather than the direct experiences of affected others. The results extend a predominantly Western evidence base and underscore the need for culturally sensitive, family-inclusive support that works with existing kinship structures while protecting those most burdened.
- MakaleYalnız künye2026Potential of bee products for enrichment of herbal tea: using response surface methodology
Ilyasoğlu, Huri; Arpa Zemzemoğlu, Tuba Eda; Arslan Burnaz, Nesibe
Purpose: There has been an increasing demand for food and beverage products enriched with bee products due to their valuable nutrients and bioactive compounds. This study was designed to assess the feasibility of enriching herbal tea infusions with bee products (honey and bee pollen), and to optimize formulation parameters using response surface methodology (RSM). Methods: The effects of the honey level of bee products (HLBP; 10–90 g/100 g) and the level of non-tea substances (LNTS; 1–5 g/100 mL) on the general acceptability, total glucose and fructose (TGF), total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activity of the herbal tea infusions were investigated using RSM. Results: HLBP showed a positive impact on the general acceptability and TGF, but a negative impact on the TPC, while the LNTS had a positive impact on the TGF and TPC. At the optimized enrichment conditions, the response to honey–bee pollen differed markedly between the two matrices: linden tea demonstrated significantly higher functional enhancement (TPC, TFC, and antioxidant activity) compared to the control, whereas sage tea exhibited relatively stable functional values. Sensory responses also differed, with linden formulations showing a significant decrease in general acceptability at lower HLBP levels, while sage formulations maintained relatively stable sensory scores. Conclusion: Overall, the findings indicate that the effects of honey–bee pollen enrichment on herbal tea beverages depend on the tea matrix and require optimization, as increasing functional properties may compromise sensory acceptability, particularly in linden tea, whereas sage tea showed comparatively similar responses to the control.
- MakaleYalnız künye2026A novel neutrosophic estimation method for handling uncertainty in population mean estimation
Yadav, Akhilesh; Yadav, Dharmendra Kumar; Yadav, Subhash Kumar; Zaman, Tolga
Estimating the population mean using auxiliary information has been extensively explored within the classical framework. While point estimators offer simplicity, they provide only a single value without reflecting the uncertainty or variability inherent in real-world data. This shortcoming is particularly critical in high-precision applications and decision-making contexts. Moreover, classical estimators are often vulnerable to the influence of outliers, which can distort results and introduce significant bias. To address these limitations, this study introduces a novel estimator grounded in neutrosophic theory, which is specifically designed to handle imprecise, vague, and incomplete information-conditions frequently encountered in practical sampling scenarios. The proposed neutrosophic estimator incorporates auxiliary information expressed in neutrosophic terms, offering a more flexible and resilient estimation strategy. We derive expressions for the bias and mean square error of the proposed estimator under a first-order approximation. A comprehensive theoretical analysis, supported by simulation studies, confirms that the neutrosophic estimator consistently outperforms classical estimators in terms of accuracy and robustness, especially in uncertain environments. These findings underscore the potential of neutrosophic approaches as powerful alternatives to conventional estimation techniques in modern statistical inference.
- MakaleYalnız künye2026Optimizing compton suppression systems: A parametric monte carlo study of NaI scintillator geometry
Kaya, Ali; Çelik, Necati; Kaya, Selim
Compton suppression systems are widely used to enhance gamma-ray spectral quality in applications such as nuclear safeguards and environmental radioactivity measurements. Although optimization of high-purity germanium (HPGe) detectors has been extensively reported, the geometric optimization of secondary sodium iodide [NaI(Tl)] scintillation detectors remains less studied. This work investigates the influence of annular and plug NaI(Tl) detector geometry—length, thickness, and radius—on Compton suppression performance using Monte Carlo simulations. Performance is evaluated in terms of the peak Compton suppression factor (CSFpeak) and total Compton suppression factor (CSFtotal). The results show that CSFpeak and CSFtotal increase with plug length (2–10.2 cm) and annular thickness (1–5.85 cm), with saturation observed beyond approximately 8–10 cm and 4–5 cm, respectively, due to reduced incremental photon absorption. The plug detector radius (3.72–5.1 cm) exhibits a nonlinear effect, with optimal performance achieved at 4.55–4.83 cm, beyond which gains are marginal (<5%). Suboptimal geometries (plug length <6 cm, annular thickness <3 cm, plug radius <4.28 cm) result in 20–60% lower suppression performance, increasing Compton continuum contributions in 662 keV spectra. The optimal configuration—plug length of 8–10 cm, plug radius of 4.55–4.83 cm, and annular thickness of 4–5 cm—achieves more than 90% of maximum CSFpeak and CSFtotal while maintaining a balance between performance and detector volume. These results provide quantitative design guidelines for optimizing NaI(Tl)-based Compton suppression systems for improved gamma-ray spectrometry performance.
- MakaleYalnız künye2026A regulated many-to-one two-sided matching model for emergency teams: a university case study
Şimşek, Ahmet Bahadır; Göktekin, Zekiye; Şimşek, Tuğçe; Tunçer, Dilara
In workplaces, emergency teams comprised of employees play a critical role in minimising damage during emergencies through rapid response. This study introduces a multi-objective employee-team matching model that optimally assigns employees to emergency teams, balancing stakeholder preferences and physical requirements. Using a regulated many-to-one matching framework, this model accounts for employee preferences, decision-maker evaluations, and team-specific physical standards, addressing limitations in current manual matching practices. Tested through a real case study in a university setting, the model demonstrates its efficacy by achieving stable, satisfactory matches that outperform traditional methods. Sensitivity analysis across multiple scenarios further illustrates the model’s adaptability, providing decision-makers with a systematic tool for improving team stability, performance, and flexibility in various emergency preparedness contexts. The main contribution of this study is the reconciliation of preference-based assignments with performance requirements through a tuneable objective function. By jointly considering soft (preferences) and hard (physical) constraints in a single framework, the model allows decision-makers to balance satisfaction and operational feasibility–an integration that existing approaches typically overlook. This approach presents a robust, data-driven solution to enhance organisational resilience and efficiency in critical situations.
- MakaleYayıncıda açık erişim2026Innovation adoption of artificial meat among academic consumers in Turkey
Dişli Bayraktar, Eda; Öztürk, Zeynep; Öztürk Küçük, Hilal
Artificial meat has emerged as a promising sustainable food technology with the potential to mitigate environmental impacts associated with conventional livestock production. However, its societal diffusion largely depends on consumer acceptance and the adoption of this innovation. This study examines academics’ attitudes and consumption intentions toward artificial meat in Turkey by focusing on two innovation adoption tendencies novelty seeking and independent decision making and testing the mediating role of attitude within the Theory of Planned Behavior framework. Data were collected via an online questionnaire distributed through social media and email, yielding 277 valid responses from academics across different regions and faculties. Analyses were conducted using SPSS and Hayes’ PROCESS macro (Model 4) with 5,000 bootstrap samples (95% confidence intervals). Results indicate that attitude toward artificial meat is the strongest predictor of consumption intention. Novelty seeking positively predicts attitude, which in turn increases intention; when attitude is included, the direct effect of novelty seeking on intention becomes non-significant, indicating full mediation. In contrast, independent decision-making negatively predicts attitude and indirectly reduces consumption intention through attitude, also reflecting a full mediation structure. Descriptive findings further show high awareness but low willingness to try artificial meat among academics. Overall, the study highlights the central role of attitude in the adoption of innovative food technologies and suggests that communication strategies should prioritize attitude formation, particularly by addressing skepticism among autonomous decision-makers while engaging novelty-seeking individuals as potential early adopters.
- MakaleYalnız künye2026Effects of mandatory schooling expansion on upward educational mobility among women in Türkiye
De, Prabal K.; Tümay, Muhammed
Using data from the Turkish Demographic Health Survey and a Regression Discontinuity Design, we estimate the effects of an exogenous increase in mandatory schooling on educational mobility among women in Türkiye. Our findings indicate that compulsory schooling may increase upward educational mobility where women attend education levels higher than their parents, particularly mothers. Additionally, we find such effects not only for the level at which schooling became compulsory but also at higher levels, showing a magnification of the initial impact.
- Kitap BölümüYalnız künye2026Remuneration and Duties in Ottoman Waqfs: The Case of Hafsa Sultan Waqf (Sixteenth to Eighteenth Centuries)
Karademir, Ayşenur
Ottoman charitable endowments, known as waqfs, were established by the sultan, his family, and the members of the ruling class, serving as primary employment institutions during the classical period. These waqfs offered a broad range of social services through various public structures, thereby employing a vast number of individuals with diverse skills and educational backgrounds across the empire. This study focuses specifically on wage determination within the Manisa Waqf of Hafsa Sultan, the mother of the renowned Sultan Süleyman the Magnificent, established in 1523. The waqf complex outlined in the endowment deed, comprised a mosque, a primary school, a madrasa, a dervish lodge (hankah) and a soup-kitchen (imaret). Subsequently, it expanded to include a hospital (dârüşşifâ) and a Turkish bath (hamam). Starting with an analysis of the endowment deed, this study further examines the seventeenth and eighteenth-century accounting books retrieved from the Ottoman Archives. These records reveal various aspects, including the waqf’s expansion, the increasing employment individuals, changes in daily wages over time, in-kind payments, challenges encountered during inflationary periods, and practical measures implemented to mitigate these issues.
- MakaleYalnız künye2026Optic 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.
- MakaleYalnız künye2026Optimal 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.
- MakaleYalnız künye2026Honeybee 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 künye2026Impact 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 künye2026Classification 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.
- MakaleYalnız künye2026Effects 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).
- MakaleYalnız künye2026The 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 künye2026The 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.
- MakaleYalnız künye2026Efficient 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.
- MakaleYalnız künye2026Paranormal 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.
- MakaleYalnız künye2026Determinants of sleep quality and fatigue in patients undergoing hemodialysis
Kazak Salti, Aysun; Topali, Hasret; Türkmen, Osman Oğulcan
Aim: This research aimed to evaluate sleep quality and fatigue among individuals undergoing hemodialysis and to explore the determinants affecting these variables. Methods: This observational investigation was carried out among 78 who were regularly receiving hemodialysis therapy. The research was carried out between May and October 2025 in three different public hospitals among individuals undergoing hemodialysis treatment. Data were gathered using the Patient Information Form (PIF), the Fatigue Severity Scale (FSS), and the Pittsburgh Sleep Quality Index (PSQI). Results: The mean score of the hemodialysis patients on the FSS is 4.97 ± 1.11, and the mean PSQI value is 7.76 ± 3.64. A moderately positive and statistically noteworthy relation was observed between the PSQI and FSS scores. Additionally, a low negative meaningful correlation was seen between ferritin levels and the FSS scores, as well as between calcium levels and the PSQI scores. The use of medications related to chronic disease and the PSQI scores were identified as significant predictors of the FSS scores. Conclusion: Fatigue and sleep quality in individuals receiving hemodialysis treatment are related to each other, as well as to biochemical balance and treatment adherence.