WoS İndeksli Yayınlar Koleksiyonu

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

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Cervical Stabilization Exercise Training via Telerehabilitation in Individuals with Migraine - A Randomized Controlled Trial
(BMC, 2025) Dusgun, E. S.; Karahan, N.; Celenay, S. Toprak
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
Components of Design Thinking in Spatial Design Education and a Model Proposal
(Konya Technical Univ, Fac Architecture & Design, 2025) Coruk, Ipek Yildirim
Design thinking, defined in its simplest form as a creative problem-solving process, is interpreted in various ways in the literature, with differing models and components. This study, motivated by the need to identify gaps in existing approaches and to clarify the concept of design thinking, aims to define its key components within the context of spatial design education. To achieve this objective, the study employed qualitative research methods. To collect data, the study utilized both a literature review and content analysis techniques. By categorizing the collected data, it was concluded that design thinking consists of three fundamental components: cognitive-rational, emotional-intuitive, and practical. These components were elaborated upon with subcategories based on literature data, and a comprehensive model proposal for use in space design education was developed. The proposal put forward in this study is significant in clarifying the concept of design thinking and its constituent components. On the other hand, the potential of the proposed model to offer guiding alternatives for the problem-solving process in design studios at various levels and to make design thinking more explicit can be attributed to the pedagogical contributions of this study. From a practical perspective, the study is considered to have the potential to directly inform practice by proposing concrete and applicable steps that can be implemented within the design process. For future research based on this study, it is recommended that the potential contributions of the proposed model be explored through its application in actual design processes. Furthermore, expandingthe theoretical scope by questioning different approaches to the components of design thinking is also suggested.
Effects of Combined Triflow, Deep Breathing and Coughing Exercises on Postoperative Pulmonary Function After Mitral Valve Replacement: A Randomized Controlled Trial
(BMC, 2026) Akinci, Naile; Eren, Esra
Background Postoperative pulmonary complications remain a major cause of morbidity after cardiac valve surgery. Although incentive spirometry (Triflow) is routinely used in postoperative care, evidence regarding the additional benefits of combining Triflow with deep breathing and coughing exercises remains limited. This study aimed to evaluate the effects of combined Triflow, deep breathing, and coughing exercises on postoperative pulmonary function in adult patients undergoing mitral valve replacement. Methods This randomized controlled, single-blind trial was conducted between May and August 2025 in a private hospital in Istanbul. A total of 60 adult patients undergoing mitral valve replacement were randomly allocated to an experimental group (n = 30) or a control group (n = 30) using simple randomization. The experimental group performed Triflow combined with deep breathing and coughing exercises, while the control group performed Triflow alone. Results Postoperative SpO(2) levels were significantly higher in the experimental group at T1 (p = 0.009; 95% CI: 0.46-3.14), T2 (p < 0.001; 95% CI: 1.57-3.43), and T3 (p < 0.001; 95% CI: 2.72-4.54). The FEV1/FVC ratio increased significantly in the experimental group compared with the control group at discharge (p < 0.001; 95% CI: 4.46-6.41). Respiratory rate was significantly higher in the experimental group at T1 (p < 0.001; 95% CI: 1.68-4.45), T2 (p < 0.001; 95% CI: 3.34-6.26), and T3 (p < 0.001; 95% CI: 5.23-8.37). Hematocrit levels were significantly lower in the experimental group at T1 (p = 0.039; 95% CI: -8.32 to - 0.24), T2 (p = 0.007; 95% CI: -8.29 to - 1.40), and T3 (p = 0.034; 95% CI: -6.54 to - 0.28). Pain scores were significantly lower in the experimental group at T1 (p < 0.001; 95% CI: -2.82 to - 1.71) and T2 (p < 0.001; 95% CI: -1.98 to - 1.08). Time to first mobilization was significantly shorter in the experimental group (p < 0.001; 95% CI: -2.94 to - 1.26). No postoperative pulmonary complications were observed in either group. Conclusion The combined application of Triflow, deep breathing, and coughing exercises was associated with significant improvements in postoperative pulmonary function, oxygen saturation, pain reduction, and earlier mobilization compared with Triflow alone in patients undergoing mitral valve replacement. These findings suggest that a structured, combined respiratory exercise protocol may provide additional clinical benefits in the early postoperative period.
Ramadan Fasting and Seizure Activity in Adults with Epilepsy: A Systematic Review and Meta-Analysis
(Academic Press Inc Elsevier Science, 2026) Ibrahim, Ismail A.; Shaaban, Sally; Elewa, Mandy; Rahman, Muhammad Samir Haziq Bin Abd; Mohamed, Lobna Ahmed; Talaia, Ahmed M.; Khoo, Ching Soong
Purpose: Ramadan fasting in Muslims entails abstaining from food and fluids from dawn to sunset, which can influence sleep patterns, medication timing, and food intake. Building on evidence that ketogenic diets and intermittent fasting may improve seizure control, we aim to analyze the link between intermittent Ramadan fasting in adults with epilepsy and seizure activity. Method: We systematically searched PubMed, Scopus, Web of Science, Cochrane Library, and Embase between 2000 and January 2025 for articles that appeared between these dates. The terms used for searching included fasting in Ramadan with epilepsy or seizures. The seizure frequency and seizure status of the participants are the outcomes that we analyzed. Two reviewers independently screened and extracted data, with a third resolving any differences that arose between them. Meta-analysis was done using the random-effects model with statistical heterogeneity using the I2 statistic. Results: Of the 1485 articles, only eight were found to be relevant, and 4 of these included 564 patients who met the inclusion criteria. The analysis of the pooled data demonstrated that 61.1% of patients remained seizure-free throughout Ramadan (95% CI: 38.8%-83.4%), with considerable heterogeneity (I2 = 87.7%). Seizure risk was higher in patients on polytherapy with poor baseline seizure control, increased fasting times, or high potassium levels. In contrast, extended seizure-free intervals and increased sleep duration pre-Ramadan were good predictors of safe fasting, and each seizure-free week increased the chance of remaining seizure-free by 10%, as did each extra hour of sleep by 30%. Seizure frequency increases were caused by interruption of daily rhythms, psychological tension, tiredness, and extended fasting. Conclusion: While many patients remained seizure-free during Ramadan, high study variability highlights the need for standardized research. With proper medical supervision, fasting may be safely practiced for selected epilepsy patients.
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.
Evaluation of Barriers Toward Data-Driven Supply Chain Sustainability Via Single-Valued Pythagorean Piprecia
(Amer Inst Mathematical Sciences-AIMS, 2026) Turan, Hakan; Buyukselcuk, Elif Caloglu
Sustainable supply chain management (SSCM) is a holistic approach that encompasses economic, social, and environmental dimensions, enabling firms to enhance their long-term competitiveness by meeting legal requirements and strengthening brand equity. The effective implementation of this approach necessitates a strong emphasis on data-driven decision-making. Accordingly, we aimed to identify the key barriers hindering the implementation of data-driven sustainable supply chain practices and to explore potential strategies to overcome these challenges. In the initial phase of the study, a comprehensive literature review was conducted to identify the major barriers to implementing data-driven sustainable supply chains. Subsequently, the relative importance of these barriers was assessed with input from top and mid-level managers working in manufacturing sector enterprises. The identified barriers were then prioritized using the Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA) method based on Pythagorean fuzzy numbers. Finally, solution proposals were developed to address the most critical barriers. The study revealed that organizational barriers constitute the most prominent category, representing 29.86% of the total identified obstacles. Closely following are technical barriers, which account for 26.41% and reflect the difficulties associated with implementing and integrating digital technologies. Internal and external environmental barriers are similarly substantial, comprising 25.87% of the total. In comparison, economic barriers make up the smallest share, with a relative weight of 17.86%. The number of researchers analyzing the importance weights of barriers in the context of SSCM 4.0 remains limited. The utilization of a more contemporary and robust method compared to previously applied techniques for determining these weights enhances the originality of this study.
Comparison of the Effectiveness of Connective Tissue Massage and Classical Massage in Patients with Migraine
(Elsevier, 2025) Ozdincler, Arzu Razak; Kaya, Begum Kara; Kahleogullari, Elif
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.
The Homeostasis-Enrichment (HEP®) Approach: A Novel Early Intervention Model for OT
(Amer Occupational Therapy Assoc, Inc, 2025) Balikci, Aymen; Sirma, Gamze Cagla; May-Benson, Teresa A.
The Role of High-Fidelity Simulators in Vascular Surgery Training: A Systematic Review
(Springer Nature, 2026) Abdelkader, Rem Ehab; Amgad, Ahmed; Alshurman, Saba Hussein; Almanaseer, Ghadeer M.; Manoj, Rachel Mary; Iqbal, Uzair; Ibrahim, Ismail A.
BackgroundIn vascular surgery, endovascular procedures demonstrated lower morbidity and shorter hospital stays. However, learning these skills is highly challenging. A new method that offers secure, controlled settings for skill development is simulation-based training.AimThis systematic review aims to examine the different high-fidelity simulation programs and their effectiveness in enhancing endovascular skills among vascular surgery trainees.MethodsA comprehensive literature search was conducted across PubMed, SCOPUS, Cochrane CENTRAL, and Web of Science using PRISMA guidelines. We included all studies of all designs involving high-fidelity simulation in vascular surgery training. The eligibility criteria focused on studies assessing simulation interventions comparing pre- and post-course outcomes. Data extraction was done manually using Excel spreadsheets by two independent reviewers, and quality assessment was performed using a 19-point scale. The studies were also evaluated using Kirkpatrick's adapted hierarchy based on their educational impact.ResultsA total of 35 studies met the inclusion criteria, covering a range of simulation modalities, including virtual reality, augmented reality, and physical simulators. The findings demonstrated significant improvements in procedural skills, operation time, operative errors, and participant's confidence across all training levels. However, there were great variations in study methods and design, as well as a lack of a specific framework for skill assessment.ConclusionFor endovascular training, high-fidelity simulation is a useful tool for skill development. However, Standardized training techniques and additional research are needed to assess long-term skill retention.
Effect of Gender Equality Education on Health Students Gender Perceptions and Roles: A Randomized Controlled Trial
(Routledge Journals, Taylor & Francis Ltd, 2026) Isbay Aydemir, Beyzanur; Sahin Tokatlioglu, Tugba; Kuru Akturk, Nur Bahar; Dikec, Gul
Aim To evaluate the impact of community gender equality education program on health sciences students' perceptions of gender, gender roles, and their awareness of social norms and gender inequality. Design A single-blind, two-arm, parallel-group randomized controlled trial. Methods Conducted with 70 students at a foundation university in Istanbul (2024-2025). The intervention group received two weeks structured training. Data were collected using the Perception of Gender Scale (PGS) and Gender Roles Attitude Scale (GRAS). Results No significant differences were observed at baseline. Post-intervention, the intervention group showed significant improvements in PGS and GRAS scores, while no change was found in the control group. Conclusion Short-term gender equality education program effectively improved students' gender perceptions and attitudes.
Federal Reserve Interest Rates, Investment Behavior, and Arbitrage in Exchange Traded-Funds
(Conscientia Beam, 2026) Sobati, Pegah; Koy, Ayben; Colak, Andac Batur
This study investigates the influence of U.S. Federal Reserve interest rate policy on investor behavior, liquidity, and arbitrage efficiency in 29 iShares exchange-traded funds (ETFs) spanning large-, mid-, and small-cap benchmarks from 2013 to 2024. Using weekly data and econometric techniques combining time-series and panel approaches, the analysis incorporates key macroeconomic indicators, interest rates, the U.S. dollar index, economic activity measures, and market volatility to assess their combined effect on ETF market dynamics. Findings show that interest rate shifts significantly influence asset allocation, sector preferences, and risk tolerance, with higher rates often strengthening the dollar and increasing the appeal of fixed-income assets. Active trading is associated with narrower bid-ask spreads through enhanced liquidity, while passive investment widens spreads. ETF volatility is positively related to spreads, reflecting increased uncertainty and transaction costs in turbulent markets. The results provide empirical evidence on the behavioral channels linking monetary policy, market conditions, and trading efficiency, offering implications for policymakers, asset managers, and market participants. The major contribution of the study is to the empirical finance literature by integrating time-series and panel econometric methods to quantify the joint effects of interest rate policy, macroeconomic indicators, and investor sentiment on ETF market microstructure. Findings offer statistically robust insights into liquidity formation, volatility transmission, and arbitrage efficiency in diversified ETF markets.
Machine Learning Model for Predicting Multidrug Resistance in Clinical Klebsiella pneumoniae Isolates
(MDPI, 2026) Akkaya, Yuksel; Aydin, Irfan; Tanyildizi-Kokkulunk, Handan; Erturk, Ayse; Kilic, Ibrahim Halil
Background/Objectives: Klebsiella pneumoniae is an opportunistic pathogen increasingly resistant to carbapenems and broad-spectrum antibiotics, complicating timely infection management. In critical cases like septic shock, where initiating effective antibiotics within 3 h improves survival, culture-based resistance testing is often too slow. This study evaluates machine learning (ML) algorithms for faster antimicrobial resistance prediction than conventional methods. Methods: In this retrospective study, antibiogram results of 607 Klebsiella pneumoniae isolates collected between 2017 and 2024 were combined with demographic and clinical information of the patients from whom the isolates were obtained. Four different ML algorithms, namely Decision Tree (DT), Support Vector Classifier (SVC), K-Nearest Neighbors (KNN) and Random Forest (RF), were applied to classify the resistance status for 22 antibiotics. Model performances were evaluated using accuracy, precision, recall, F-score, AUC and feature importance metrics. Results: The RF model showed the highest overall performance in accurately predicting resistance to 22 antibiotics, achieving an average AUC value of 0.96. In particular, it predicted resistance to treatment-critical antibiotics such as Ertapenem (100%), Imipenem (93%) and Meropenem (95%) with high accuracy. Conclusions: ML models, especially RF, offer a powerful tool for rapid antibiotic resistance prediction, supporting accurate empirical treatment decisions and antimicrobial stewardship.
Sexual Problems of Women with Kidney Transplant: A Qualitative Study
(Galenos Publ House, 2026) Akinci, Naile; Varisoglu, Yeliz Yildirim; Dogan, Bayram
Objective: This qualitative study aimed to explore the experiences, perspectives, and challenges faced by women who underwent kidney transplantation, particularly regarding the impact of transplantation on their own and their partner's sexual lives. Methods: The study was conducted with 15 women who had received kidney transplants at a private hospital in & Idot;stanbul. Data were gathered using a two-part semi-structured interview form developed by the researcher based on a review of the relevant literature. The data obtained from the interviews were analyzed using content analysis. Data analysis was carried out concurrently with data collection. This study adhered to the consolidated criteria for reporting qualitative research. Results: Based on a thematic analysis of the interviews, four main themes emerged: concerns about reproductive health, including subthemes of fear of infertility and anxiety about pregnancy; disease-associated sexual reluctance, including subthemes of reduced sexual interest, fatigue, weakness, sleep disturbances, and depression; perception of femininity and body image, including subthemes of feelings of incompleteness and inadequacy; concerns about the spouse/partner, including subthemes of fears about being unable to meet the sexual needs of the spouse/partner and feelings of guilt related to their partner's sexual dissatisfaction. Conclusion: In conclusion, sexual dysfunction continues to persist among women even after kidney transplantation due to various physical and psychological factors. To support patients in maintaining a healthy sexual life as part of their overall well-being, sexual health should be routinely assessed by a multidisciplinary team, including transplant surgeons, surgical and obstetric/ gynecology nurses, and psychologists.
Past and Present of Nation-Building: Ideological Instrumentalization of Ministry of Youth and Sports of Turkey
(Routledge Journals, Taylor & Francis Ltd, 2026) Erturan-Ogut, Esin Esra
When Erdogan declared in 2012, 'We will raise a pious generation', Turkey already had a national identity rooted in secularism and Turkism since the early Republic. His statement signalled an attempt to reshape identity along the AKP's anti-Kemalist lines. This study examines shifting nation-building agendas in state-run youth and sports institutions, comparing the early Republican era with the AKP period. Early programmes emphasized Turkism, secularism, and paramilitarism, reflecting the ideological imperatives of the time. Under the AKP, however, programmes increasingly promoted Islamism and neo-Ottomanism, opposing earlier values. The study argues that AKP-era youth policies deliberately sought to replace Kemalist principles, with the Ministry of Youth and Sports serving as a channel for ideological nation-building absent in formal education.
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.
1,2,4-Triazole Conjugates as HEGFR Inhibitors: Synthesis, Anticancer Evaluation, and in Silico Studies
(Wiley-V C H Verlag GmbH, 2026) Bulbul, Bahadir; Kulabas, Necla; Gurboga, Merve; Ozakpinar, Ozlem Bingol; Cakmak, Ummuhan; Tuncay, Fulya Oz; Kucukguzel, Ilkay
A series of novel 1,2,4-triazole-acetamide derivatives was synthesized and evaluated for anticancer and hEGFR inhibitory activity. The compounds were obtained via multistep synthesis and characterized by spectroscopic methods. Cytotoxicity was tested against PC-3, MCF-7, A549, and K562 cell lines. Compounds 18, 19, and especially 24 showed notable antiproliferative effects, with compound 24 exhibiting higher selectivity and potency than gefitinib. It also induced apoptosis and inhibited migration in A549 and PC-3 cells, while selectively promoting invasion in PC-3, suggesting EMT-related behavior. In vitro kinase assays revealed compound 20 as the most potent hEGFR inhibitor (IC50 = 43.8 +/- 1.3 nM). Molecular docking and 200 ns molecular dynamics simulations confirmed its stable interaction with EGFR, particularly involving Cys797. These findings highlight compounds 20 and 24 as promising candidates for further development as EGFR-targeted anticancer agents.
Investigating Text Neck Syndrome and Duration of Mobile Phone Use, Muscle Activity, Hand Grip Strength, Posture, and Disability
(Elsevier Sci Ltd, 2026) Yasaci, Zeynal; Zirek, Emrah; Mustafaoglu, Rustem; Ozdincler, Arzu Razak
Neck and shoulder musculoskeletal symptoms related to smartphone use are becoming increasingly prevalent, yet the underlying mechanisms including smartphone usage duration, muscle activity, hand grip strength, posture, and disability remain incompletely understood. This study examined the interaction between text-neck syndrome and factors such as smartphone usage duration, muscle activity, hand grip strength, posture, and disability. Forty participants (Text Neck group: n = 18; 14 females or Control group: n = 22; 15 females) underwent neuromuscular assessment. Surface electromyography measured bilateral muscle activity in the upper trapezius (UT) and abductor pollicis brevis (APB) muscles during smartphone use. Secondary outcomes included the Visual Analogue Scale (VAS) to assess pain intensity, hand grip strength, New York Posture Rating Scale (NYPRS), Neck Disability Index (NDI), and Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire. The Text Neck group demonstrated significantly higher smartphone use (p < 0.001), higher texting time (p = 0.006), and lower muscle activation at activity in the dominant APB (p = 0.011), dominant UT (p < 0.001), and non-dominant UT (p = 0.008). These findings provide novel insights into how excessive smartphone use alters muscle function and postural alignment in individuals with text-neck syndrome. Understanding these mechanisms may inform targeted prevention and rehabilitation strategies to mitigate musculoskeletal risk associated with modern technology use.
In Vivo Antioxidant and Anti-Inflammatory Effects of Myrtus Communis Against Ionizing Radiation-Induced Gastrointestinal Injury: Trod-Grog Study
(Kare Publishing, 2025) Kilic, Melisa Bagci; Varan, Melike Pekyurek; Atasoy, Ozum; Ozyilmaz, Nagehan; Pazarbasi, Seren Ede; Ertas, Busra; Atasoy, Beste Melek
OBJECTIVE: This study aimed to investigate the in vivo radioprotective effects of Myrtus communis (MC) on the gastrointestinal system. METHODS: A total of 30 female rats were divided into four groups: i) Control; ii) irradiation (IR) only; iii) MC-pretreated; and iv) MC-treated. The rats received oral MC extract (100 mg/kg/day) for 4 days before exposure to 10 Gy IR or continued until sacrifice. On the fourth day of IR exposure, the rats were sacrificed, and histopathological and biochemical analyses were performed on the ileum, pancreas, and liver tissues. RESULTS: Malondialdehyde and myeloperoxidase levels decreased in both MC-treated groups, while glutathione levels and Na+-K+-ATPase activity increased (p<0.01), with significant histopathological improvements compared to the IR-only group. CONCLUSION: The results of this study demonstrate that MC significantly decreases ionizing radiation-induced oxidative and inflammatory damage in the gastrointestinal systems of rats. Therefore, it may be regarded as a new candidate with radioprotective potential for future clinical application.

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