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Devletçi Kökler, Neoliberal Hedefler: Hükümetin İstanbul 2000 Olimpiyat Adaylığının Tarihsel Analizi
No full textİstanbul’un 2000 Olimpiyat Oyunları adaylığıyla resmiyet kazanan uzun vadeli olimpiyat ev sahipliği hedefi, 20. yüzyılın sonlarında Türkiye’de spor, siyaset ve ekonomi politikalarının kesişim noktasını yansıtmaktadır. Erken Cumhuriyet dönemine dayanan bu hedef, 1980’ler ve 1990’lardaki neoliberal ekonomik reformlar ve Türkiye’nin küresel ekonomiye entegrasyon çabalarıyla kurumsal bir ivme kazanmıştır. TMOK, yerel yönetimler ve ulusal siyasetçiler tarafından kamuya açık şekilde desteklenen 2000 adaylığı, hem Türkiye’nin ekonomik ve örgütsel kapasitesini gösterme stratejisinin hem de ulusal prestiji yükseltmeye yönelik popülist bir söylemin simgesine dönüşmüştür. Bu çalışma, 1986–1994 yılları arasında yayımlanan TMOK dergileri ve gazete arşivlerini inceleyen hermenötik ve eleştirel bir tarihsel yaklaşım kullanmaktadır. Bulgular, bu adaylığın tepeden inme, neo-popülist bir karar örneği olduğunu ve merkezi, devletçi spor sisteminde yapısal yönetişim sorunlarını görünür kıldığını göstermektedir
Coach Candidates' and Coaches' Nutrition Knowledge Affects Dietary Recommendations Indirectly: Mediator Effects of Self-Efficacy
No full textBackground/Objectives: The nutritional knowledge and behavior of athletes are considerably influenced by the dietary recommendations of their coaches, which, in turn, affect their health and performance. In the context of social cognitive theory, this study examines the impact of general and sports nutrition knowledge (GeSNK), nutrition self-efficacy (NSE), and nutrition counseling self-efficacy (NCSE) on the dietary recommendations (DRs) provided by coach candidates and coaches (CC&Cs). Additionally, it explores variations in GeSNK, NSE, and NCSE among CC&Cs based on their sports positions, genders, and types of sports. Methods: This study included 70 coach candidates and 102 coaches, with data collected via validated scales for GeSNK, NSE, and NCSE. Using the PROCESS macro, the serial multiple mediator model was applied, and group comparisons were conducted via the Mann-Whitney U test. Results: The results revealed that 36% of participants achieved adequate GeSNK scores, but only 6.4% abstained from providing DRs. Participants engaged in individual sports exhibited higher NSE and NCSE scores than those involved in team sports. Additionally, 22.7% of CC&Cs identified their former coaches as a primary source of nutrition information. The study findings revealed that GeSNK, NSE, and NCSE significantly influenced DRs, collectively accounting for 23% of the variance in DRs. The direct effect of NCSE on DRs was statistically significant, whereas the direct effects of GeSNK and NSE were not significant. GeSNK and NSE jointly explained only 41% of the variance in NCSE, suggesting that additional factors influencing NCSE and DRs remain unexplored. Conclusions: To address the issue of inadequate dietary recommendations stemming from insufficient information, it is crucial to identify and understand these additional factors affecting NCSE and DRs. Diversifying nutrition education programs to enhance the nutrition knowledge of CC&Cs is essential. Furthermore, fostering collaboration between CC&Cs and nutritionists can ensure that athletes receive accurate and comprehensive nutritional guidance.Science Citation Index Expande
Structural Equation Analysis of the Role of Appearance-Related Self-Conscious Emotions on Flow in Athletes: the Mediating Role of Autonomous Motivation
No full textThe current study aimed to investigate the mediating role of autonomous motivation in the relationship between appearance-related self-conscious emotions (shame, guilt, authentic pride, and hubristic pride) and flow in athletes. The sample consisted of 217 athletes (57.6% male) aged between 18 and 39 years old (Mage = 21.77, SD = 4.53). The cross-sectional data were analyzed using structural equation modelling with bootstrapping method. Regarding direct effects, autonomous motivation was negatively correlated with shame and hubristic pride and positively correlated with authentic pride. Flow was positively related to autonomous motivation and hubristic pride. Regarding indirect effects, flow was negatively predicted by shame and hubristic pride and positively predicted by authentic pride through autonomous motivation. These results highlight the importance of autonomous motivation in the relationship between self-conscious emotions and flow in athletes. In particular, shame and authentic pride predicted flow fully through autonomous motivation. In conclusion, autonomous motivation mediates the relationship between self-conscious emotions and flow in athletes. We therefore speculate that improving autonomous motivation in sport psychology studies may help improve flow in athletes. © 2025 Informa UK Limited, trading as Taylor & Francis Group.Science Citation Index Expande
The Effectiveness of Proprioceptive Neuromuscular Facilitation Techniques Versus Conventional Therapy in Patients With Proximal Humerus Fracture: Randomized Controlled Trial
No full textKus, Gamze/0000-0003-4564-8065; Zengin Alpozgen, Ayse/0000-0003-0436-1164Background To date, no study has investigated the effectiveness of proprioceptive neuromuscular facilitation (PNF) techniques for patients with proximal humerus fractures (PHF). Objective To compare the effect of PNF, conventional physicaltherapy (CPT) on shoulder passive and active range of motion (ROM), function, muscle strength, pain, kinesiophobia, quality of life (QoL), and patient satisfaction in patients with PHF. Methods A total of 40 patients with PHF were randomly allocated into two groups of CPT and PNF. Both groups received treatment programs three times a week for 6 weeks. The primary measures were shoulder ROM, function, and muscle strength. The secondary measures were pain, kinesiophobia, QoL, and patient satisfaction. Results Forty patients analyzed at the end of the study. There were no statistically significant group-by-time interactions for function, pain, shoulder ROM (active and passive), or muscle strength (p > .05). However, there were statistically significant group-by-time interactions in role limitations due to physical health subscale of the 36-item Short Form Survey (SF-36) in CPT (p = .046, eta(2)(p) = 0.078). In addition, a significant difference was found in patient satisfaction at 3 weeks in CPT (p = .021) but no difference at 6 weeks between groups (p > .05). Conclusion The PNF techniques demonstrated similar outcomes to the CPT in reducing pain, improving function and shoulder ROM, and enhancing quality of life in patients with PHF in short time. According to our findings, PNF techniques are as effective as CPT and can be proposed as a potential adjunctive treatment for patients with PHF. Clinicaltrialnumber NCT05960435Science Citation Index Expande
Exploring the Role of Adipose Tissue-Derived Hormones Asprosin and Leptin in the Onset of Depressive Symptoms in Newly Diagnosed Prediabetic Individuals
No full textBackground: Type 2 diabetes and depression are common chronic conditions that often co-occur, likely driven by complex mechanisms that are not yet fully understood. Chronic low-grade inflammation may serve as a shared underlying factor in both conditions. This study aimed to determine whether adipose tissue-derived hormones asprosin and leptin, particularly asprosin, which is associated with inflammatory cytokines in glucose metabolism dysregulation and has not been studied in this context—might influence the onset of depressive symptoms. Methods: 112 participants were recruited from drug-naïve individuals. Blood samples were collected, anthropometric data recorded, the Beck Depression/Anxiety Inventories administered. Adapted questions assessed physical and social activity, as well as sleep habits, to account for environmental factors. After applying the exclusion criteria, participants were divided into prediabetic (n = 32) and normoglycemic groups (n = 30). Results: In the prediabetic group CRP was elevated (p < 0.001), with a positive correlation between asprosin and leptin (p < 0.001). Asprosin was positively correlated with TNF-α (p = 0.004), IL-6 (p = 0.002), and ESR (p < 0.001), and leptin with TNF-α (p = 0.008) and ESR (p = 0.018) but not with depressive symptoms or anxiety. Depressive symptoms were higher in prediabetic individuals with poor sleep quality. Conclusion: In groups with similar social and physical activity levels, poor sleep quality was associated with increased depressive symptoms. While asprosin and leptin correlated with higher inflammatory cytokines, they showed no significant association with depression, possibly due to the small sample size and early-stage evaluation. Larger studies are needed to confirm any potential link between these hormones and depression. © 2025 The AuthorsBahcesehir University Scientific Research Committee, (BAP.2019-02.09
Evaluation of Hopelessness, Decision Regret and Desire for Retransplantation in Patients With Graft Loss After Kidney Transplantation
No full textAim: In this descriptive study, it was aimed to evaluate hopelessness, decision regret, and desire to be transplanted again in patients who developed graft loss after kidney transplantation. Material and Method: The study sample consisted of all patients who developed graft loss after kidney transplantation between January 2017 and February 2021 in a private hospital in XXX, who met the inclusion criteria and volunteered for the study. "Patient Information Form", 'Beck Hopelessness Scale' and 'Decision Regret Scale' were used as data collection tools in the study. Findings: It was determined that participants experienced a moderate level of hopelessness after graft rejection (13.370 +/- 4.379) while the average scores on the decision regret scale were generally high (66.435 +/- 18.213). Regarding the desire to be transplanted again, it was observed that the majority of the participants (52.2 %) did not want to be transplanted again. According to the results of the correlation analysis, there was a significant correlation between hopelessness and decision regret scores (p* 0.05). In addition, hopelessness (p = 0.034) scores of individuals who were not employed were significantly higher than those who were employed, and both hopelessness (p = 0.000) and decision regret (p = 0.048) scores of those without religious belief were significantly higher than those with religious belief. Conclusion: The findings of the study emphasize the critical importance of monitoring and psychological support processes before and after kidney transplantation. Understanding the emotional processes individuals experience after kidney transplant graft loss is important for the development of psychological support and intervention strategies.Emerging Sources Citation Inde
Artificial Intelligence in Nursing Practice: A Qualitative Study of Nurses' Perspectives on Opportunities, Challenges, and Ethical Implications
No full textBackgroundThe study aims to explore nurses' views on the effects of artificial intelligence (AI) in nursing, focusing on their understanding, practical applications, ethical considerations, and perceived opportunities and threats.MethodsThis qualitative study used semi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document}structured interviews to gain comprehensive insights from clinical nurses, adhering to the Standards for Reporting Qualitative Research for methodological rigor. After obtaining ethical approval, researchers conducted semi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\end{document}structured interviews with 25 clinical nurses. The interviews explored nurses' perceptions of AI, including its basic concepts, applications in nursing practice, ethical and social implications, and potential benefits and drawbacks.ResultsThe analysis identified four overarching themes: (1) Nurses' Conceptualizations of Artificial Intelligence, (2) Opportunities of AI in Nursing Practice, (3) Threats of AI in Nursing Practice, and (4) Ethical and Psychological Concerns in AI-Based Nursing Practice. The findings revealed that nurses had a foundational understanding of AI and its definitions. They acknowledged both the positive and negative impacts of AI technologies on their practice. Nurses expressed that AI could reduce workload, enhance patient care, and improve efficiency. However, they also articulated significant threats, including concerns over professional redundancy, emotional disconnection in caregiving, de-skilling, and the risk of dehumanizing the healthcare environment. Additionally, ethical and psychological concerns emerged, such as ambiguity in accountability, threats to data security and patient safety, unsuitability in psychiatric care contexts, staff surveillance anxiety, and risks of misuse or systemic bias.ConclusionThe study concluded that while nurses possess a basic understanding of AI, the effective and ethical integration of AI technologies in nursing requires targeted training, institutional preparedness, and robust interdisciplinary collaboration. To ensure AI complements rather than compromises nursing values, it is imperative to equip nurses with skills in digital literacy, ethical reasoning, and critical engagement with AI tools. The findings highlight the necessity of structured education programs and policy development that address both the technological and humanistic dimensions of AI use in healthcare. Future research should actively incorporate patient and public voices to ensure that AI-driven transformations in care remain aligned with the principles of patient-centeredness and human dignity
Reflection Coefficient Prediction in Triple-Layer Microwave Absorbers: A Machine Learning Perspective
No full textElectromagnetic absorbers prevent the reflection and transmission of electromagnetic waves. Electromagnetic absorbers have a wide range of applications from military to medical applications. In these areas, absorber designs have different importance in terms of parameters such as reflection coefficient, selected material and thickness. Many difficulties are encountered to achieve the optimal design. In this paper, we propose a machine learning regression method for three-layer microwave absorber architecture to obtain the optimum parameters, overcome the difficulties and speed up the process. The material and thickness of each layer are used as parameters to feed the models and the reflection coefficient is estimated using these parameters. Predictions are made with various regression algorithms. These algorithms are KNeighbors Regression, Random Forest Regressor, XGBoost Regression, CatBoost Regressor, AdaBoost Regressor which uses similarities between observations, Gradient Boosting Regressor which is tree based or boosted tree based algorithms, Linear Regression which uses a linear model, Partial Least Squares Regression which uses cross decomposition, Gaussian Process Regressor which uses statistical distribution, Stochastic Gradient Descent Regressor which uses a linear model to reduce empirical loss to predict an output. Mean square error (MSE), mean absolute error (MAE), root mean square error (RMSE), R-squared (R2) are used with the predictions of each model to obtain the metrics for the analysis of the results. The predicted values and actual values of the metrics are used to compare the regression algorithms used in the research. After the comparison, our observations show that in most cases CatBoost Regressor is better than other models used in the research. In general, it is observed that most of the machine learning regression algorithms used in this paper can be used to predict the reflection coefficient of three-layer microwave absorbers as output and input parameters used in the research. © 2025 Elsevier B.V., All rights reserved
Dual-Phase Malicious User Detection Scheme for IM-OFDMA Systems Using IQ Imbalance
No full textPhysical-layer security techniques have contributed to the achievement of various security objectives in an efficient and lightweight manner. Thus, these techniques have been widely considered for limited-resource networks such as Internet of Things networks. Among the different security objectives, malicious user detection by exploiting physical-layer parameters has demonstrated efficient performance. In this work, malicious user detection in the recently proposed index modulation-based orthogonal frequency division multiple access (IM-OFDMA) is addressed. The proposed malicious user detection scheme exploits the hardware impairments, especially the in-phase and quadrature imbalance parameters, for both legitimate and malicious users to design a dual-phase efficient detection scheme. The proposed scheme accounts for the special characteristics of IM-OFDMA transmission that are different from other multiple-access techniques. The performance of the proposed scheme was evaluated considering detection probability and false alarm probability performance metrics. Moreover, closed-form expressions of these metrics were derived for both phases and were validated by Monte Carlo simulation results under different configurations of IM-OFDMA systems.Qatar Research, Development and Innovation (QRDI) Fund (a member of Qatar Foundation) [NPRP14C-0909-210008]; US Department of Energy (DOE) [DE-AC05-00OR22725]This publication was made possible in part by NPRP14C-0909-210008 from the Qatar Research, Development and Innovation (QRDI) Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. This manuscript has been authored in part by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains, and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan)
Ludwig's Angina in a 6-Year Child: Case Report
No full textLudwig's angina is a rare but potentially fatal cellulitis that affects the submandibular, sublingual, and submental spaces, typically triggered by dental infections. This case report details a severe presentation of Ludwig's angina in a 6-year-old girl who presented with submandibular swelling, fever, voice alterations, and respiratory distress. Diagnosis was based on clinical evaluation, supported by CT imaging, revealing significant airway narrowing and lymphadenopathy. The patient was promptly intubated to secure the airway, followed by emergency surgical drainage and intravenous antibiotics. Postoperative care included sedation, ongoing monitoring in the PICU, and close follow-up by multiple specialties. After a 10-day hospitalization, the patient showed significant recovery with no complications. The case underscores the importance of early diagnosis and intervention in preventing severe complications such as airway obstruction, sepsis, and mediastinal spread. It highlights the critical role of interdisciplinary collaboration, including pediatric infectious disease specialists, surgeons, and anesthesiologists, in managing this life-threatening condition effectively.Emerging Sources Citation Inde