Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7

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Comparative Evaluation of Vision Transformers and Convolutional Networks for Breast Ultrasound Image Classification
(Open Exploration Publishing Inc, 2026) Naral S.; Cakmak Y.; Pacal I.
Aim: Interobserver variability continues to limit the consistency of breast ultrasound interpretation. This study compares two Vision Transformer (ViT) models and two Convolutional Neural Network (CNN) models for automated three-class breast ultrasound classification, with a specific focus on the tradeoff between predictive performance and computational efficiency. Methods: Swin Transformer Base and DeiT Base were evaluated alongside InceptionV3 and MobileNetV3 Large using the public Breast Ultrasound Images (BUSI) dataset, which contains 780 images labeled as benign, malignant, and normal. A consistent on-the-fly augmentation pipeline was applied during training to promote robustness and reduce sensitivity to incidental image variations. Results: Swin Transformer Base achieved the highest test accuracy (0.9167) and F1 score (0.8981). MobileNetV3 Large reached an accuracy of 0.8583 with substantially lower computational demand. The efficiency contrast was pronounced, with Swin requiring 30.33 GFLOPs versus 0.43 GFLOPs for MobileNetV3 Large. Conclusions: On this benchmark, ViT models can yield higher classification performance, while lightweight CNNs offer a strong efficiency profile that may better match deployment-constrained settings. These results suggest that model selection should be guided by both predictive accuracy and operational feasibility within the target clinical workflow. © The Author(s) 2026.
Comprehensive Proteomic and Metabolomic Analysis of Novel Substituted Fluoroquinolone Derivatives in Escherichia Coli Isolates
(John Wiley and Sons Ltd, 2026) Nigiz Ş.; Kulabaş N.; Türe A.; Kablan S.; Koçak E.; Özkul C.; Küçükgüzel İ.
Antimicrobial resistance is one of the most important global problems, and new antibiotic requirements have been emerging as a key point in this issue. In the present work, we focused on the efficiency of two novel promising fluoroquinolone derivatives on resistant Escherichia coli isolates at the molecular level. Their mode of action and adaptation process were evaluated by using proteomics and metabolomics analysis. Proteomics analysis showed that two compounds have an effect mainly on the ribosomal process and energy metabolism. Moreover, we observed compounds that affect various important antimicrobial targets, such as ribosomal subunits, phosphotransacetylase, and chaperone proteins. In metabolomics analysis, we found that compounds altered bacterial metabolism directly. Pathway analysis showed that cofactor biosynthesis and energy metabolism were affected mainly by undertreated groups. Our experiments demonstrated that novel fluoroquinolone derivatives have promising results at the molecular level and results will contribute to further studies. © 2026 John Wiley & Sons Ltd.
Fully Synthetic, Nature-Inspired Exosome-Mimetics for Melanoma Therapy
(Elsevier B.V., 2026) Arda Ozturk N.Z.; Majchrzak O.B.; Ulivi G.; Kirmizibayrak P.B.; Borchard G.; Patrulea V.; Ozer O.
Fully synthetic exosome-mimetics (FSEMs) represent a nature-inspired drug delivery system designed to replicate the key physicochemical and biological properties of natural exosomes, while offering the potential to address limitations in scalability and reproducibility associated with natural exosomes. In this study, we prepared FSEMs at the laboratory scale. We loaded them with (–)-epigallocatechin-3-gallate (EGCG) and microRNA-23a (miR-23a), aiming to co-deliver therapeutic small molecules and nucleic acids for the treatment of melanoma. FSEMs were fabricated using three methods: thin-film hydration, ethanol injection, and microfluidics. They were surface-functionalized with either CD9, a tetraspanin involved in membrane fusion, or TSP-1, an adhesion protein promoting cellular interactions. Through physicochemical characterization via dynamic light scattering, we found that FSEMs were ∼ 100 nm in size, of low polydispersity (∼0.2) and showed a negative zeta potential (∼–55 mV). Both EGCG and miR-23a were efficiently encapsulated. SDS-PAGE analysis confirmed successful protein incorporation and correct positioning. In vitro release studies showed minimal premature leakage, supporting their suitability for cellular uptake-mediated delivery. When tested on melanoma cells (MDA-MB-435) and progenitor human dermal fibroblasts (FE002-SK2), FSEMs selectively killed melanoma cells while sparing fibroblasts. Importantly, EGCG within FSEMs was more effective than the free compound. Compared to conventional DOTAP-based liposomes, FSEMs were more selective and induced less off-target cytotoxicity. This study presents a proof-of-concept for fully synthetic, protein-functionalized FSEMs as dual carriers for both chemical and gene-based agents, offering a safer and potentially more effective alternative to traditional cationic liposomes. These results lay the groundwork for future in vivo validation and translational cancer research. © 2026 The Author(s)
Human-Centered Safety and Ergonomic Design for Women in High-Risk Industrial Occupations: A Systematic Review within Intelligent Systems Context
(AHFE International, 2026) Aytac S.; Akalp H.G.; Yamankaradeniz N.; Arlı N.B.
Women’s participation in high-risk sectors such as mining, construction, transportation, and healthcare continues to increase, yet industrial safety and ergonomics remain dominated by gender-neutral design assumptions. This systematic review synthesizes evidence on physical, psychosocial, and organizational challenges faced by women in hazardous environments through a human-cantered systems lens. Following PRISMA 2020 guidelines, 24 peer-reviewed studies (2010–2025) from Scopus, Web of Science, and PubMed were analyzed. The literature highlights exposure to musculoskeletal disorders (MSDs), PPE mismatch, postural load, and inequitable access to safety resources. Thematic analysis reveals that ergonomic inequalities intersect with exclusion from safety training and organizational barriers in risk management. Findings underscore the need for interdisciplinary approaches integrating ergonomics, intelligent systems, and gender studies to enable safer and more inclusive workplaces for women in high-risk occupations. © 2026 The Authors.
Integrating 3D-Printed Task-Specific Terminal Devices with a Standard Myoelectric Prosthesis in a Patient with Systemic Scleroderma and Transradial Amputation: A Case Report
(Lippincott Williams and Wilkins, 2025) Öztürk B.
ABSTRACT – Objective – The aim of the study was to evaluate the effectiveness of personalized task-specific 3D-printed terminal devices integrated with a standard myoelectric prosthesis in improving functional independence and comfort in a patient with systemic scleroderma and transradial amputation. Methods – A 57-year-old female patient with systemic scleroderma and a left transradial amputation used the following three task-specific 3D-printed adaptive terminal devices—a sock aid, buttoning tool, and jar opener—developed using Tinkercad and fabricated with PLA via FDM printing. These devices were integrated into her pre-existing standard myoelectric prosthesis (Ottobock MyoFacil, four-channel transradial model), which the patient had already been using for daily activities. Functional outcomes were assessed using the Canadian Occupational Performance Measure, Functional Independence Measure (FIM), and visual analog scale (VAS) for pain. Results – Canadian Occupational Performance Measure scores increased from 2/10 to 7–8/10 in performance and satisfaction. Functional Independence Measure scores improved from 4 to 6, reflecting reduced need for assistance in self-care. VAS scores decreased from 7/10 to 3/10, indicating reduced pain during activities of daily living. Conclusions – The integration of low-cost, patient-specific 3D-printed terminal devices with an existing myoelectric prosthesis significantly improved function, independence, and comfort. This case supports further exploration of additive manufacturing as a complementary strategy to enhance prosthetic function in individuals with rare and complex impairments. Clinical Relevance – 3D printing offers a scalable, adaptable solution for task-specific 3D-printed terminal devices, particularly in patients with systemic comorbidities. © 2025 Lippincott Williams & Wilkins
Preventing Violence in Schools: A Psychoeducation Program Examining the Effects on Teachers Perceptions and Attitudes Toward Violence and Bullying
(AHFE International, 2026) Tunca O.O.; Kaya A.G.; Cikrikci A.; Kılıc C.; Cicek H.S.; Cevher T.; Ergul E.B.
This study experimentally examined changes in teachers’ and school counseling (SC) professionals’ perceptions and attitudes toward violence and peer bullying through the psychoeducational program “Preventing Violence in Schools: Where Do I Stand?”, developed by the researchers. An explanatory sequential mixed-methods design was employed. Following quantitative data collection, results were examined using a phenomenological design.The sample consisted of 36 participants 20 SC professionals and 16 subject-area teachers working in public schools in Istanbul. To test the significance of the psychoeducation, the sample was divided into two groups consisting of subject-area teachers showing similar distribution parallel to the SCs. Participants completed the Personal Information Form, “Teacher Attitudes Toward School Bullying Scale” before and after the eight-week intervention. Additionally, qualitative data were collected via the “Interview Form on Perceptions of Bullying and Violence” to obtain a deeper understanding of participants’ views. Results indicated no statistically significant differences between pre-test and post-test scores. Professional seniority and age showed significant positive correlations with the “harsh attitude” subdimension. When groups were compared, “harsh attitude” scores differed significantly, with subject teachers scoring higher. Participants’ number of children positively correlated with the “indifference attitude” dimension. Qualitative findings showed both groups perceived bullying as repetitive power dynamic. Subject teachers linked prevention gaps to systemic issues, while SCs identified stakeholders closedness to cooperation and administrative indifference as main difficulties. Regarding interventions, teachers prioritized disciplinary systems, observation, rules, whereas SCs favored child-centered consultation for all stakeholders. Both groups emphasized victim safety, emotional support, cooperation, a holistic approach in case analyses. © 2026 The Authors.
Development and Preliminary Psychometric Properties of the Adolescent Sleep Health Belief Scale
(Istanbul University-Cerrahpasa, Florence Nightingale Faculty of Nursing, 2025) Dikici H.; Kadıoğlu H.
AIM: This study aimed to develop a scale based on the Health Belief Model that can reliably and validly evaluate adolescents’ beliefs toward sleep. METHODS: This study was conducted using a methodological design with 494 adolescents between September and October 2022 in Antalya, Türkiye . Eighty-one items about sleep were created according to the Health Belief Model. Validity was assessed in terms of content and construct validity, and reliability was assessed through internal consistency. Content validity was evaluated by ten expert opinions. The scale was tested for construct validity with exploratory factor analysis, after which the scale’s reliability was evaluated by examining item-total correlations using Pearson’s correlation analysis and assessing internal consistency with Cronbach’s Alpha. RESULTS: Item-level content validity index scores ranged between 0.80 and 1. The scale-level content validity index value was found to be 0.94. In the exploratory factor analysis of the 46-item scale, six factors were found with an eigenvalue greater than 1, explaining 57.7% of the total variance. The scale’s itemtotal correlations ranged from 0.26 to 0.79. Cronbach’s alpha coefficients for the subscales were 0.92 for perceived susceptibility, 0.90 for perceived severity, 0.90 for perceived benefits, 0.81 for self-efficacy, 0.79 for motivation, and 0.69 for perceived barriers. CONCLUSION: The Adolescent Sleep Health Belief Scale demonstrated good validity and reliability in adolescents. Its cross-cultural adaptation for use with adolescents in other countries is recommended. © 2025, Istanbul University-Cerrahpasa, Florence Nightingale Faculty of Nursing. All rights reserved.
Evaluation Awareness: A University Example
(AHFE International, 2025) Akalp H.G.; Saklangıç U.; Aytaç S.
Individuals’ fire safety awareness directly affects individual and institutional safety as well as social safety. Fires are among the serious dangers that can cause loss of life and property in workplaces. Fire safety is one of the basic safety precautions that should be taken in workplaces. Reducing fire risks and increasing employees’ awareness are of great importance in terms of occupational health and safety. Fire safety awareness is a critical issue in terms of preventing occupational accidents and directly affects the effectiveness of safety precautions taken in workplaces. This study aims to evaluate the fire safety awareness level of 163 people working in a higher education institution in Turkey and reached by random sampling method, to analyze the effectiveness of current training programs and precautions and thus to reveal what kind of precautions can be taken in terms of occupational safety. The results revealed that employees have a general awareness of fire safety but they lack knowledge about emergency procedures. Within the scope of the study, it was suggested that training programs within the institution should be increased and fire drills should be carried out regularly in order to increase fire safety awareness. © 2025. Published by AHFE.
Sick Relationship with Work Stress as a Psychosocial Risk: A Shopping Mall Example
(AHFE International, 2024) Aytac S.; Bulbul S.; Akalp H.G.
Recently, buildings, residences, plazas, shopping malls, skyscrapers and towers that have been rising all over the world have begun to form our living spaces as smart structures where private, social and business lives are carried out. The fact that these closed spaces threaten the health of people living and working in them and cause diseases, has led to these buildings being called “sick building syndrome (SBS)”. Sick building syndrome results in the health of people who spend time and work in these buildings being affected both physically and psychologically. The aim of this study is to reveal the symptoms of sick building syndrome and its effects on stress, which is a psycho-social risk at workplace. A cross-sectional study conducted in two randomly selected shopping malls in Turkey involved 268 employees. Research findings indicate that employees suffer from symptoms like dry throat, runny nose, eye irritation, headaches, muscle-joint pain and fatigue. Additionally, it has been observed that these symptoms intensify during peak weekend traffic Moreover, the sick buildings phenomenon increases the stress levels of employees’ due to the conditions associated with enclosed spaces. © 2024. Published by AHFE.
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.
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.
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.
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.
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.
Social Media and Financial Decisions: The Influence of Socio-Demographics and Financial Literacy
(John Wiley and Sons Inc, 2026) Altinbas, H.
This study investigates the predictors of individuals' reliance on social media for financial decision-making within the context of Türkiye's high-inflation environment and the associated surge in retail investor participation. Data were collected via an online survey utilizing the OECD's financial literacy toolkit. The results indicate that gender, family structure, high-risk asset preferences, and financial literacy predict social media usage for financial information. Specifically, males, individuals who invest in stocks or cryptocurrencies, and those with higher financial literacy demonstrate a greater propensity to access financial information on social media; conversely, households with children exhibit lower reliance on social media information. © 2026 American Association of Family and Consumer Sciences.

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