WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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    Preclinical Applications of Lentiviral Gene Therapy in X-Linked Agammaglobulinemia (XLA)
    (Springer Nature, 2025) Sahin, Ilayda; Kiykim, Ayca; Ocak, Suheyla; Eken, Yunus; Onder, Gizem; Gundogdu, Merve; Ng, Yuk Yin
  • Article
    The Relationship Between Nurses Anxiety and Attitudes Towards Artificial Intelligence and Examination of Influencing Factors
    (BMC, 2026) Nirgiz, Cansu; Sari, Merve Kiymac; Cayli, Nazan
    Aim to explore the relationships between nurses'anxiety and attitudes toward artificial intelligence (AI) and the factors associated with them. Background Although AI technologies are increasingly integrated into healthcare, research exploring nurses ' psychological readiness and emotional responses to AI remains limited. Existing studies have primarily focused on nursing students or general healthcare professionals, leaving a gap in understanding how practicing nurses perceive and emotionally adapt to AI within real clinical environments-particularly in T & uuml;rkiye, where digital transformation in healthcare is accelerating. Addressing this gap is essential, as nurses play a pivotal role in ensuring the safe and ethical implementation of AI-driven tools in patient care. Methods This descriptive and correlational study included 562 nurses from 14 branches of a private hospital chain across seven Turkish cities between November 2024 and January 2025.This sample was selected because it represents nurses actively engaged in clinical decision-making within healthcare systems that are rapidly adopting AI technologies. According to a power analysis performed in G*Power (rho = 0.25, alpha = 0.05, power = 0.95), the required sample size was 202 participants. Data were collected through an online questionnaire comprising a Descriptive Information Form, the AI Anxiety Scale, and the General Attitudes toward AI Scale. Descriptive statistics, independent samples t-tests, ANOVA (F), Tukey post hoc test, Pearson correlation, and multiple regression analyses were conducted. Ethical approval was obtained from the Fenerbah & ccedil;e University Ethics Committee, and informed consent was obtained digitally. Results Nurses reported moderate anxiety levels and generally positive attitudes toward AI. Male nurses showed an association with lower anxiety levels and higher positive attitude scores than female nurses. Single individuals and those with higher levels of education showed higher positive attitudes toward AI. Those with 0-3 years of experience in the profession were associated with lower anxiety and higher positive attitude scores. Nurses who used AI in practice, were knowledgeable about its use, or perceived it as reliable showed a relationship with lower anxiety and more positive attitudes. Regression analysis showed that each one-unit increase in the learning and AI configuration subscales of the AI Anxiety Scale was associated with a 0.740-and 0.716-point lower score in the total attitude score, respectively. Conclusion The findings suggest that lower levels of anxiety related to learning and AI configuration are associated with more positive attitudes toward AI. Addressing these specific anxiety domains may be related to the successful integration of AI technologies into clinical practice and could be linked to the digital transformation in healthcare.
  • Article
    Mapping the Evolution of Stigmatization in Mental Disorders: A Bibliometric Analysis From 1974 to 2024
    (Springer Heidelberg, 2026) Goktas, Polat; Dikec, Gul
    BackgroundThis bibliometric study scrutinizes the thematic evolution of research on stigma and discrimination in mental disorders, covering a span of five decades. It reflects on the shifting paradigms within the stigma-focused mental health research community from 1974 to 2024.MethodsA comprehensive bibliometric analysis was employed using the Bibliometrix R package and VOSviewer software, analyzing 1,892 articles from databases like Scopus, Web of Science, PubMed Central, and APA PsycInfo. Adherence to PRIBA guidelines ensured a holistic representation of the evolving research narrative.ResultsThe analysis outlined three distinct periods: the Genesis Period (1974 - 2007), focusing on foundational concepts of mental disorders and stigma; the Growth Period (2008 - 2015), which experienced a broadening into themes of discrimination and diagnostic refinement; and the Rapid Growth Period (2016 - 2024), characterized by a surge in research on child mental disorders and the impacts of posttraumatic stress disorder. Network analyses highlighted significant journals, key authors, and international collaborations that have shaped this field.ConclusionsThe study maps a significant transformation in stigma-focused mental health research themes over fifty years, highlighting the growing complexity and the need for ongoing research into stigma and discrimination. It calls for interdisciplinary approaches to tackle these enduring challenges effectively.
  • Article
    Evaluation of the Effect of Simulation-Based Training Provided to Nurses in the Hospital Environment on Child Neglect and Abuse: Quasi-Experimental Research
    (Elsevier Science Inc, 2026) Sanci, Yagmur; Genc, Canan; Kokkiz, Rukiye
    Background: Child neglect and abuse are major public health concerns, and nurses play a critical role in early recognition. Simulation-based training is a promising method to strengthen knowledge and preparedness. Methods: This quasi-experimental pretest-posttest study was conducted with 20 nurses working in a pediatric emergency unit of a state hospital between March and April 2024. Data were collected using a socio-demographic form and the "Scale for Determining the Knowledge Level of Nurses and Midwives in Diagnosing the Symptoms and Risks of Child Abuse and Neglect." Nurses participated in simulation-based training with a structured scenario, followed by debriefing and posttest. Results: Knowledge scores significantly increased after training, particularly in recognizing physical and behavioral symptoms of abuse. However, improvements were limited in identifying children at higher risk of neglect and abuse. Conclusion: Simulation-based training enhances nurses' knowledge of child abuse recognition and should be integrated into nursing education and in-service programs to improve clinical preparedness. (c) 2026 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
  • Article
    Nurses on the Frontline of Disaster: A Qualitative Metasynthesis of Post-Earthquake Care Experiences
    (Wiley, 2026) Kolac, Nurcan; Taylan, Secil; Eroglu, Nermin
    Background Earthquakes generate urgent and complex care needs, positioning nurses as key responders. Exploring their post-earthquake care experiences is vital for strengthening disaster preparedness and nursing practice.Aim This study aimed to synthesise qualitative evidence on nurses' experiences of providing care in the aftermath of earthquakes.Study Design This research was conducted through a systematic review and meta-synthesis of qualitative studies. The data were analysed using thematic analysis. The qualitative systematic review was conducted using Sandelowski and Barroso's four-step meta-synthesis methodology. This metasynthesis study, conducted in accordance with the PRISMA statement, is registered in PROSPERO. The following electronic databases and platforms were used for the literature review: MEDLINE, Academic Search Ultimate, CINAHL Complete, Complementary Index, Supplemental Index, Directory of Open Access Journals and WOS.Findings Based on 27 included studies, the research identified four main themes and 13 sub-themes related to nurses' post-earthquake care experiences. These themes were: (1) early post-earthquake nursing challenges, (2) conflict experiences, (3) valued experiences and methods of coping with challenges and (4) impact of rescue experiences.Conclusions This research highlighted nurses' post-earthquake care experiences, emphasising how they overcame challenges, redefined their profession and emerged stronger. It also identified the limitations and facilitators within the post-earthquake care environment, providing valuable insights for enhancing care settings during future earthquakes.Relevance to Clinical Practice This study identified limitations and facilitators in the post-earthquake care environment of clinical settings, providing valuable insights to improve care environments during future earthquakes.
  • Article
    Verification Trials Can Create the Illusion of VO2max in Addition to Contributing to Its Confirmation
    (Wiley, 2026) Cabuk, Refik; Alp, Egemen; Murias, Juan Manuel; Karsten, Bettina
    This study examined whether constant-workload verification trials performed at intensities below, at, and above the ramp-incremental peak power output (PPO) contribute to confirming maximal oxygen uptake (VO2max). Fifteen trained to well-trained male cyclists (VO2max: 63.6 +/- 5.6 mL & centerdot;kg(-1)& centerdot;min(-1)) completed maximal ramp testing followed by seven randomized verification trials (80%-110% PPO at 5% intervals) on separate days. Differences in VO2 responses were analyzed using linear mixed-effects models. Effect size was calculated using Hedges' g. The peak VO2 attained during the verification trials was expressed relative to the ramp-derived VO2max and classified as lower (< 95%), within normal variability (95%-105%), or higher (> 105%). The peak VO2 values at 80%, 105%, and 110% PPO were significantly lower than ramp-derived VO2max (p < 0.05), whereas no significant differences were observed at 85%, 90%, and 95% PPO. Effect sizes were small at 85%-95% PPO (Hedges' g = 0.29-0.32), medium at 100%-105% PPO (Hedges' g = 0.63-0.66), and large at 80% and 110% PPO (Hedges' g = 1.21-1.34). Of 105 verification trials, 81 were within +/- 5% of ramp VO2max, 22 were lower (mainly at 80% and 110% PPO), and two exceeded ramp VO2max (at 85% and 95% PPO). Although verification trials did not meaningfully contribute to the verification of VO2max, trials performed at 85%-95% PPO provided the best chances of confirming VO2max in trained individuals. Interpretation of verification trials relative to ramp-derived PPO is protocol dependent, which may limit generalizability across different ramp designs.
  • Article
    Denta-Hybridonet: A Hybrid CNN-Transformer Architecture for Automated Detection of Developmental Dental Anomalies in Pediatric Panoramic Radiographs
    (Elsevier Sci Ltd, 2026) Eskibaglar, Busra Karaagac; Yavuz, Yelda Polat; Dogan, Gizem Karagoz; Algarni, Ali; Cakmak, Yigitcan; Pacal, Ishak
    Accurate identification of developmental dental anomalies (DDAs) in children is clinically important; however, interpreting panoramic radiographs can still vary across readers because of mixed dentition, anatomical overlap, and variable image quality. This variability may delay recognition and complicate early interventional planning. In this study, we curated a pediatric panoramic dataset of 2,001 radiographs (ages 6-14 years) spanning five categories: Dilaceration, Ectopy, Hypodontia, Taurodontism, and Healthy. All images were independently labeled by three experienced pediatric dentists. To avoid patient-level leakage, the dataset was divided into training, validation, and held-out test sets using a patient-wise split. We propose Denta-HybridoNet, a hybrid convolution-transformer architecture designed to capture both fine-grained tooth morphology and broader, arch-wide contextual patterns. Its InceptionNeXt-gMLP block supports multi-scale local representation learning, which helps the model focus on subtle morphological cues, whereas the Swin-gMLP block provides efficient global context modeling across the dental arch. In addition, a gated multilayer perceptron (gMLP) module refines the feature transformation through context-dependent modulation, strengthening diagnostically relevant signals while reducing the influence of irrelevant variation and radiographic noise. To ensure a fair comparison, we benchmarked Denta-HybridoNet against 22 recent convolutional and transformer-based models under the same training protocol and evaluation conditions. On the held-out test set, the proposed method achieved 91.15% accuracy and 91.20% F1 score, representing the best overall performance among the compared architectures. Ablation studies quantified the contributions of hybrid design and gMLP, and Grad-CAM analyses supported interpretability by highlighting clinically meaningful regions.
  • Article
    Effect of Inspiratory Muscle Training on Diaphragm Function and Activity Performance in Subacute Ischemic Stroke Patients: A Single-Blind Randomized-Controlled Trial
    (SAGE Publications Inc., 2026) Akçay S.; Akyol D.K.; Erkut Ü.; Karagözoğlu Coşkunsu D.; Kunduracilar Z.; Bajrami A.; Dinç Yavaş A.; Kunduracilar, Zuhal; Coskunsu, Dilber Karagozoglu; Bajrami, Arsida; Akçay, Sümeyye; Akyol, Dudu Kübra; Erkut, Ümit; Karagözoğlu Coşkunsu, Dilber; Yavas, Arzu Dinc; Dinç Yavaş, Arzu
    Background: Respiratory dysfunction is common after stroke and may negatively affect functional recovery. Inspiratory muscle training (IMT) has been proposed to enhance diaphragmatic function and activity performance in this population. Objective: To investigate the effects of IMT on diaphragm function and activity performance in patients with subacute ischemic stroke. Methods: In this randomized controlled, single-blind trial, 26 patients with subacute ischemic stroke (>1 month post-onset) were randomly allocated to an intervention group (IG, n = 13) or control group (CG, n = 13). Both groups received standard neurorehabilitation, aerobic training, and the Active Cycle of Breathing Technique (ACBT). The IG additionally underwent IMT, 5 days per week for 6 weeks (30 sessions). Assessments included maximal inspiratory and expiratory pressures (MIP, MEP), diaphragmatic thickness (Ti, Te) and excursion via ultrasonography, 6-minute walk test (6MWT), and Canadian Occupational Performance Measure (COPM). Results: Twenty-two participants completed the study (IG = 11; CG = 11). Significant within-group improvements were observed in both groups for MIP, MEP, Ti, TF, excursion, 6MWT, and COPM scores (P < .05). Between-group analyses showed significantly greater improvements in the IG for ΔMIP (P < .001), ΔMEP (P = .003), affected-side ΔTi (P = .007), ΔTF (P = .008), and Δexcursion (P = .005). No significant differences were found for 6MWT and COPM (P > .05). Conclusions: IMT effectively improves respiratory muscle strength, diaphragmatic thickness, and excursion in subacute ischemic stroke and may be a valuable addition to post-stroke rehabilitation programs. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT06210516. © The Author(s) 2026
  • Article
    The Relationship Between Spiritual Well-Being, Resilience, and Adherence Among Patients Receiving Hemodialysis Treatment in Türkiye
    (Springer, 2026) Bulbul, Elif; Sukut, Ozge; Dikec, Gul
    This study examined the relationship between spiritual well-being, resilience, and adherence of hemodialysis patients and the factors affecting them. The data were collected from 182 hemodialysis patients receiving treatment in a dialysis center who met the inclusion criteria by purposive sampling method in Istanbul. The data were collected with the patient description questionnaire, which measures patient sociodemographic characteristics and characteristics related to the medical diagnosis, the Spiritual Well-Being Scale, the Brief Resilience Scale, and the End-Stage Renal Failure-Adherence Questionnaire. Gender, educational status, employment status, and mean age of patients were found to be correlated with psychological resilience. Marital status, employment status, cohabitants, and mean age of patients were found to be correlated with spiritual well-being. Gender, number of weekly dialysis sessions, and dialysis competencies were found to be correlated with hemodialysis patients' adherence to their treatment. Hemodialysis patients' adherence was positively correlated with both the faith subscale of spiritual well-being and psychological resilience. According to regression analysis, gender and resilience explained 12.8% of the total variance of adherence. This study determined that resilience is an essential factor in increasing the adherence of hemodialysis patients.