WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Women’s Biopsychosocial Experiences Following Embryo Transfer: A Qualitative Study(Elsevier Masson, Corp Off, 2026) Baltacı, Nurşah Boylu; Aslan, Ergül; Coşkun, MervePurpose: This study explored the physical, psychological, and social experiences of women during the waiting period following embryo transfer (ET) in In Vitro Fertilization (IVF) and provides recommendations regarding psychosocial support needs. Materials and methods: A descriptive phenomenological design with thematic analysis was used. Semi-structured telephone interviews (30-45 min) were conducted with 29 women who underwent ET at a private IVF center in Istanbul from April to July 2025. Data were coded and analyzed using MAXQDA 24, and themes and subthemes were identified. Results: Participants had a mean age of 32.8 years, infertility duration of 2.8 years, 2.2 of IVF attempts, and 2.5 ETs. Most women were employed (69%), 72% had no previous pregnancies, and 86% had undergone multiple IVF attempt. Four main themes emerged in the thematic analysis: physical effects, psychological effects, social effects, and coping strategies. Subthemes varied by marital duration, previous IVF experience, and number of ETs; effects were stronger among women with multiple ETs. Conclusion: Women experience multidimensional challenges following ET and adopt various coping strategies. Physical changes disrupt daily life, emotional fluctuations stem from uncertainty and anxiety, and partner/social support and trust in healthcare professionals are critical for mitigating anxiety and improving quality of life and treatment adherence.Article Sub-Cytotoxic Mitochondrial Stress in Cardiomyocytes and Whole-Organism Toxicity in C. Elegans Induced by Molnupiravir(SAGE Publications Inc, 2026) Gunaydin-Akyildiz, Aysenur; Keskin, Zehra; Ozhan, Gul; Kuran, Ebru Didem; Gulec, MeltemMany antiviral agents are known to induce off-target mitochondrial toxicity due to the prokaryotic origin of mitochondria. Mitochondrial dysfunction is frequently linked to cardiotoxicity. We aimed to elucidate the mitochondrial toxicity profile of molnupiravir via focusing on mitochondrial dynamics, biogenesis, and oxidative stress in cardiac cells. Mitochondrial function was evaluated by luminometric measurement of ATP (adenosine triphosphate) content, and flow cytometric analysis of mitochondrial membrane potential, and mitochondrial mass. The expression levels of genes involved in mitochondrial fusion-fission were assessed by RT-PCR. In addition, molecular docking analysis was performed to evaluate the interaction between molnupiravir and the dynamin related-protein DRP1. Protein carbonylation was determined as an oxidative stress parameter. Toxicity evaluation was further investigated in Caenorhabditis elegans to support the in vitro findings at the organismal level. Molnupiravir exposure led to a significant dose-dependent reduction in intracellular ATP level and mitochondrial mass, accompanied by increased protein carbonylation. Mitochondrial membrane potential remained slightly increased. Alterations in the expression of genes regulating mitochondrial dynamics suggested an imbalance between fusion and fission processes, while mitochondrial biogenesis-related signaling was progressively suppressed. C. elegans exposed to higher concentrations of the drug (20-500 & micro;M) exhibited significant lifespan reduction at all doses. Molecular docking analysis demonstrated a moderate binding affinity of molnupiravir to DRP1, supporting a potential direct interaction with mitochondrial fission machinery. In conclusion, our results demonstrate that molnupiravir induces mitochondrial stress through oxidative damage, impaired biogenesis, and altered dynamics, emphasizing the need for careful evaluation of mitochondrial safety of molnupiravir in cardiac tissue.Article Shoulder Muscular Activation during Common Kettlebell Exercises: A Randomized Cross-Sectional Surface EMG Study(Taylor & Francis Inc, 2026) Paköz, Büşra; Işiklar, Çağdaş; Turgut, ElifPurpose This study aimed to examine shoulder muscle activation patterns within functionally similar upper-body exercise categories performed using different resistance modalities. Methods Twenty healthy males (mean age 22.6 +/- 1.69 years) performed overhead pressing, rowing, and swinging tasks using kettlebells, dumbbells, and elastic bands. Surface electromyography (EMG) was used to record activity from seven shoulder muscles. The recorded electromyographic signals were normalized to maximal voluntary isometric contractions (%MVIC), log-transformed, and analyzed using a two-way repeated-measures analysis of variance (ANOVA) with exercise and muscle as within-subject factors. Results A repeated-measures ANOVA on log-transformed EMG data showed significant main effects of exercise (F(2.10, 39.95)=22.04, p<.001, eta(2) p=.537) and muscle (F(4.49, 85.34)=47.55, p<.001, eta(2) p=.714), as well as a significant exercise & times;muscle interaction (F(8.16, 154.98)=82.84, p<.001, eta(2) p=.813). Within the overhead pressing category, the Bottoms-Up Kettlebell Overhead Press elicited significantly greater activation than the traditional Kettlebell Overhead Press in the upper trapezius, lower trapezius, biceps brachii, and infraspinatus (all p<.050), with upper trapezius activation reaching 30.4 +/- 13.4%MVIC. In the rowing category, middle and lower trapezius activation was greater during free-weight rowing than during elastic band rowing, while serratus anterior activation remained relatively low across the rowing conditions. In the swing category, activation patterns were largely comparable between the two-hand kettlebell and dumbbell swings, whereas the one-hand kettlebell swing produced greater activation in selected muscles, with the lower trapezius showing the highest activation. Absolute between-exercise differences in %MVIC were modest. Conclusion Kettlebell, dumbbell, and elastic band exercises elicit distinct shoulder muscle activation profiles. These findings may inform exercise selection and program design when targeting specific shoulder muscles within task-oriented training contexts.Editorial Monitoring Progress in Global Childhood Cancer Survival(Elsevier Science Inc, 2026) Kutluk, TezerArticle Gender Differences in Pain Coping Strategies, Body Awareness, Pain Beliefs, and Job Satisfaction Among Healthcare Workers With Musculoskeletal Pain: A Comparative Study(Wiley, 2026) Akyurek, Gokcen; Bektas, Selen Aydoner; Sirin, Ecenur; Kinikli, Gizem IremObjective: To examine gender differences in pain coping strategies, body awareness, and pain beliefs, and to determine how these psychosocial factors are associated with job satisfaction among healthcare workers suffering from musculoskeletal pain. Methods: This cross-sectional study was conducted in a private hospital (June 2021-January 2022) using convenience sampling. A total of 116 healthcare workers (72 women, 44 men) completed the Pain Coping Questionnaire, Body Awareness Questionnaire, Pain Beliefs Questionnaire, and Job Satisfaction Scale. Mann-Whitney U, Spearman correlation, and multiple linear regression analyses were performed. The study followed Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Results: Women had better pain coping (t = 3.416, p = 0.001), body awareness (t = 3.372, p = 0.001), and pain beliefs (t = 2.637, p = 0.001) total scores than men. Women showed significantly higher pain coping, body awareness, and pain belief scores than men (all p < 0.05). The regression models explained 36.4% of the variance in job satisfaction among men (R-2 = 0.364, p < 0.001) and 6.6% among women (R2 = 0.066, p = 0.029). Conclusion: It is important to consider gender-specific differences in pain coping, body awareness, and pain beliefs when designing interventions aimed at improving job satisfaction among healthcare workers with musculoskeletal pain.Article Efficacy and Safety of Deferiprone for Parkinson’s Disease: A Systematic Review and Meta-Analysis of Motor Function and Overall Disease Severity(Springer-Verlag Italia SRL, 2026) Ehab, Menna; Ibrahim, Ismail A.; Hekal, Rawan Gameel; Solah, Israa A.; Ezz-Alarab, Moaz; Elewa, Mandy; Zidat, Ayham R. A.Background The accumulation of iron in brain regions is one of the characteristics of Parkinson's disease (PD). Deferiprone (DFP) is an iron chelator that reduces iron overaccumulation in certain diseases. The efficacy and safety of DFP in the management of PD have been assessed; however, the results remain controversial. Method A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines. A comprehensive search was conducted across five databases to identify all randomized clinical trials and observational studies. The primary outcomes included changes in motor function (MDS-UPDRS III) and overall disease severity (MDS-UPDRS total score). Additionally, the safety of DFP was assessed by analyzing adverse events. A network meta-analysis using a random-effects model was conducted. Results Four randomized clinical trials were identified. The studies included 567 patients with early-stage PD. The DFP doses across the included studies ranged from 3.75 to 15 mg/kg twice daily. None of the doses showed a significant Improvement in motor function (I2 = 0%), or in overall disease severity (I2 = 82.5%), compared with placebo in the network analysis. However, a non-significant improvement in motor function was observed at 7.5 mg/kg twice daily, whereas higher doses were associated with worsening clinical scores. Adverse events were generally mild, although there were some safety concerns at higher doses. Conclusion DFP can reduce accumulated iron across brain regions. However, current evidence does not support the use of DFP for the clinical and symptomatic management of PD within the assessed range of doses and treatment periods.Article Evaluating Artificial Intelligence–Generated Nursing Care Plans: A Scenario-Based Comparative Study of Accuracy, Completeness, Quality, and Readability(Wiley, 2026) Basut, Elif Aylin; Konyar, Mukaddes; Eden, Arzu Baygul; Akyaz, Dilek Yilmaz; Baygul Eden, Arzu; Yilmaz Akyaz, Dilek; Cakir, Gokce Naz; Tufekci, Seyma; Esim, DenizAim This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically accurate, comprehensive, and readable nursing care plans aligned with standardised nursing taxonomies (North American Nursing Diagnosis Association International, Nursing Interventions Classification, and Nursing Outcomes Classification). The study further explored variations in tool performance across different nursing specialties.Design A descriptive comparative design was used.Methods Ten expert-validated clinical scenarios representing five nursing specialties (Fundamentals of Nursing, Medical, Surgical, Paediatric and Psychiatric Nursing) were presented to the three artificial intelligence tools. Each tool responded to four standardised prompts based on the latest North American Nursing Diagnosis Association International, Nursing Interventions Classification and Nursing Outcomes Classification taxonomies. Outputs were assessed for quality, accuracy, completeness and readability by expert evaluators using validated scales.Results All tools produced nursing care plans of moderate-to-high quality. DeepSeek demonstrated slightly higher accuracy and completeness compared with Gemini and ChatGPT. Surgical nursing scenarios yielded the highest performance, likely reflecting the more protocolised and pathway-driven nature of perioperative care. However, all outputs were incomplete and written at a college-level readability, limiting accessibility for clinical use.Conclusion Generative artificial intelligence tools can support the production of structured nursing care plans requiring expert review and adaptation, particularly in less standardised clinical domains, but their limitations in completeness and readability indicate they should be regarded only as preliminary drafts requiring expert review and adaptation.Impact The study examined whether generative artificial intelligence can reliably assist in creating nursing care plans. All tools performed moderately well, with DeepSeek showing slight advantages, but outputs were incomplete and difficult to read. Findings are relevant to clinical nurses, educators, healthcare managers and policymakers worldwide who are exploring artificial intelligence in nursing workflows.Reporting Method This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.Patient or Public Contribution This study did not include patient or public involvement in its design, conduct or reporting.Article DiSCNet: Directional Split Convolution for Compute-Efficient Brain Tumor Diagnosis(Elsevier Sci Ltd, 2026) Pacal, Ishak; Ganie, Shahid MohammadBrain tumor classification from magnetic resonance imaging (MRI) remains challenging because tumor appearance varies substantially across patients, while scanner- and protocol-related differences can alter image intensity distributions and weaken model generalization. This study aims to develop a compact yet highperforming deep learning framework that can classify heterogeneous brain MRI more reliably without relying on large-capacity backbones. To this end, we propose DiSCNet, a lightweight architecture built on an InceptionNeXt-inspired hierarchical design and centered on a novel Directional Split Convolution (DiSC) block. The proposed block diversifies receptive fields through complementary local and directional depthwise branches, while Global Response Normalization and Efficient Channel Attention are incorporated to improve feature stability and channel selectivity under acquisition variability. The model was evaluated on a unified benchmark constructed from five publicly available MRI repositories, comprising 17,888 images across four classes: glioma, meningioma, pituitary and non-tumor. Under a single training and evaluation protocol, DiSCNet was compared against 71 contemporary convolutional, transformer-based, and hybrid architectures. DiSCNet achieved the best overall performance, with 0.9922 accuracy, 0.9916 precision, 0.9930 recall, and 0.9923 F1-score, while using only 2.78 million parameters. Class-wise analysis further showed strong and balanced recognition across all diagnostic categories, and Grad-CAM visualizations indicated that the model predominantly focused on lesionrelevant regions. These findings demonstrate that a carefully designed lightweight architecture can outperform substantially larger models and provide an efficient, robust, and clinically relevant solution for four-class brain tumor MRI classification.Article Development and Validation of a Self-Efficacy Scale for Patients With Colorectal Cancer Surgery(Lippincott Williams & Wilkins, 2026) Sağlam Aksüt, Rabia; Çakır, YaseminSelf-efficacy in coping with cancer surgery is a key concept for planning and organizing nursing care. However, there is no validated measurement tool that can be used to assess self-efficacy in patients with colorectal cancer surgery. This cross-sectional study, with a multi-phase design, was conducted with 170 patients to describe the development and validation of the Self-Efficacy Scale for Patients with Colorectal Cancer Surgery (SES-CRCS). Phase 1 addressed the development procedures of the scale. In Phase 2, a 3-step validation process was conducted: (a) assessing the content validity, (b) evaluating construct validity with exploratory and confirmatory factor analysis, and (c) assessing internal consistency reliability with Cronbach's alpha coefficient, test-retest, and item-total correlation methods. Exploratory factor analysis suggested a 16-item single-factor structure. The factor loadings of the 16 items were above .40, and various indices used to examine the consistency of the scale indicated a good model fit. The Cronbach's alpha value was .838, the item-total correlations for all items were positive, and there was a strong correlation between the test-retest measurements (r = .933; p < .05). As a result, the SES-CRCS was found to be a valid and reliable measurement tool in assessing self-efficacy among patients with colorectal cancer surgery.Article Comparison of Executive Functions, Visual Perception, and Cognitive Skills in High-Average and Average-Ability Children with Dyslexia(Routledge Journals, Taylor & Francis Ltd, 2026) Akyurek, Gokcen; Aydoner Bektas, SelenThis study compared executive functions, visual perception, and cognitive skills in high-average and average-ability children with dyslexia. Seventy-six children aged 8-12 were assessed using the Executive Functions and Occupational Routines Scale (EFORTS), the Test of Visual-Perceptual Skills - Third Edition (TVPS-3), and the Dynamic Occupational Therapy Cognitive Assessment for Children (DOTCA-CH). High-average ability children scored higher on DOTCA-CH domains such as visual-motor construction and thinking operations, while average-ability peers performed better on all TVPS-3 subtests. EFORTS differed only in play-leisure routines. Findings suggest that dyslexia presents with diverse cognitive patterns, emphasizing the need for approaches that address individual differences.