TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4
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Article Symmetric Orthogonalization and Probabilistic Weights in Resource Quantification(Tubitak Scientific & Technological Research Council Turkey, 2026-02-18) Torun, GokhanTransforming nonorthogonal bases into orthogonal ones often compromises essential properties or physical meaning in quantum systems. Here, we demonstrate that Löwdin symmetric orthogonalization (LSO) outperforms the widely used Gram-Schmidt orthogonalization (GSO) in characterizing and quantifying quantum resources, with particular emphasis on coherence and superposition. We employ LSO both to construct an orthogonal basis from a nonorthogonal one and to obtain a nonorthogonal basis from an orthogonal set, thereby mitigating ambiguity related to the basis choice in defining quantum coherence. Unlike GSO, which depends on the ordering of input states, LSO applies a symmetric transformation that treats all vectors equally and minimizes deviation from the original basis. This procedure yields basis sets with enhanced stability, preserving the closest possible correspondence to the original physical states while satisfying orthogonality. Building on LSO, we also introduce Löwdin weights - probabilistic weights for nonorthogonal representations that provide a consistent measure of resource content. We explicitly contrast these with Chirgwin-Coulson weights, demonstrating that Löwdin weights ensure nonnegativity, a prerequisite for information-theoretic measures. These weights further enable the quantification of coherence and the characterization of superposition, providing a degree of superposition as a distinct measure, as well as facilitating the assessment of state delocalization through entropy and participation ratios. Our theoretical and numerical analyses confirm LSO's superior preservation of quantum state symmetry and resource characteristics, underscoring the critical role of orthogonalization methods and Löwdin weights in resource theory frameworks involving nonorthogonal bases.Article Turkish Thoracic Society Declaration on Peace and Health the Importance of Breathing in a World Without Ware(Galenos Publ House, 2026-01-30) Cetinkaya, Pelin Duru; Toreyin, Zehra Nur; Ozdemir, Hande Yuce; Yasin, Yesim; Kilinc, Oguz; Yorgancioglu, Arzu; Begic, Erencan; Bingöl, Züleyha; Erencan, Begiç; Kaya, Aslıhan Gürün; Demirdöğen, EzgiWar legitimizes the right to kill for its participants, equating victory with moral justification, however, this perceived legitimacy is largely Constructed on the deaths of civilians and other living beings. Medicine, by its very nature, is grounded in the principles of preserving ife, doing no harm, and adhering to scientific and ethical standards, and is therefore fundamentally opposed to the philosophy of war. Wars lead, directly and indirectly, to desaths, disability, displacement, poverty, and long-term public health disasters. Attacks on health Facilities, restrictions on access to food and water, environmental destruction, and air pollution disproportionately affect vulnerable Dopulations, particularly women and children. The psychological consequences of war often evolve into persistent neuropsychiatric conditions, including post-traumatic stress disorder, depression, and moral injury. Peace is not merely the absence of war, it is a prerequisite for health, environmental sustainability, and social well-being. The concept of positive peace strengthens health indicators hrough well-functioning institutions, equitable resource distribution, and the protection of human rights. Within this framework, health professionals and civil society organizations are critical actors in advocating for peace and in making human rights violations visible The Turkish Thoracic Society regards peace as an indispensable condition for public and respiratory health, affirms its opposition to all wars particularly the ongoing atrocities in Gaza-and reaffirms its commitment to sustained, health-based advocacy for peace,Letter The Necessity of Bronchiectasis Registries - The Turkish Registry of Bronchiectasis(Galenos Publ House, 2026-01-20) Kizilirmak, Deniz; Martinez-Garcia, Miguel Angel; Cicek, Sedat; Coskun, Aysin Sakar; Kilinc, Oguz; Edis, Ebru CakirBronchiectasis demonstrates a significant discrepancy between its high prevalence and the limited evidence base. Patient registries, both national and international, are key to collecting comprehensive data. However, the cost-effectiveness of this approach remains a subject of ongoing debate.1 In the opinion of the authors of this editorial, despite the significant costs and effort involved in establishing such registries, they are justified—provided that certain key characteristics are met. The registry must be sufficiently comprehensive in capturing relevant variables to avoid missing critical data that could impede meaningful research, particularly in areas such as therapeutic interventions, comorbidities, microbiological findings, and prognostic factors.Article The Turkish Version of Hydration Risk Assessment Tool in Older Patients: Cross-Cultural Adaptation and Psychometric Evaluation(Galenos Publishing House, 2025-08-28) Söylemez, Burcu Akpınar; Akyol, Merve Aliye; Küçükgüçlü, Özlem; Atasoy, EzgiObjective: Dehydration is a common and serious issue among older adults, with significant implications for their health and well-being. Preventing dehydration in older adults requires a multifaceted approach that involves early identification of risk factors, accurate detection methods, targeted interventions, and ongoing monitoring to ensure adequate hydration. For this reason, the study was designed to assess the validity and reliability of the Turkish adaptation of the Northumbria Assessment of Hydration (T-NoAH) among older patients. Materials and Methods: A methodological and descriptive approach was utilized in this investigation. After establishing linguistic validity, the study was conducted with a convenience sample of 360 older patients within 24 hours of admission to the hospital, using a descriptive information form and T-NoAH for data collection. The analyses performed included exploratory factor analysis, confirmatory factor analysis (CFA), discriminant validity assessment, internal consistency evaluation via Cronbach’s alpha, item-total correlation analysis, examination of ceiling and floor effects, and Hotelling’s T-squared test. Predictive accuracy was examined in the sample using a receiver operating characteristic curve, with serum osmolality as the reference test. Results: The tool had sufficient linguistic validity. The instrument consisting of 8 items and one factor was identified. This factor explained 39.24% of the total variance. Model fit indices were ≥0.90, as per CFA. Cronbach’s alpha was determined to be 0.73. There was no response bias identified, and there were no floor or ceiling effects. The optimal cut-off point (5 or more) showed sensitivity (70%) and specificity (89%) (area under the curve =0.795, 95% confidence interval, p<0.001) compared to non-dehydration group. Conclusion: This tool is a short, easily understandable and applicable measurement for assessing older patients’ hydration risk. It can be used by nurses to evaluate the risk of dehydration in older patients and to implement and evaluate effective interventions according to risk situations.Article Impact of Inspiratory Muscle Strength and Lung Function on Functional Exercise Capacity in Post-Myocardial Infarction Patients: A Cross-Sectional Study(Galenos Publishing House, 2025-09-18) Aktan, Rıdvan; Ozalevli, Sevgi; Dursun, Huseyin; Aktan, Özge Ocaker; Ocaker Aktan, OzgeOBJECTIVE: This study aims to investigate the contribution of lung function and respiratory muscle strength in predicting functional exercise capacity in post-myocardial infarction (MI) subjects. MATERIAL AND METHODS: This cross-sectional study included 56 stable post-MI subjects. Lung function was assessed using a digital spirometer, and respiratory muscle strength was measured using an intraoral pressure meter. The 6-minute walk distance (6MWD) was conducted to assess functional exercise capacity. Correlations and multiple regression analyses were performed to evaluate predictors of 6MWD, considering demographic factors, lung function, and respiratory muscle strength. The Bland-Altman plot was used to investigate the agreement between observed and predicted 6MWDs. RESULTS: Significant positive correlations were found between 6MWD and forced vital capacity (FVC)%predicted (r = 0.528, P = 0.022) and maximum inspiratory pressure (MIP)%predicted (r = 0.640, P = 0.022). Age (r = -0.350, P = 0.008) and body mass index (BMI) (r= -0.561, P < 0.001) were negatively correlated with 6MWD. The best regression model included MIP%predicted (β = 0.332, P = 0.002), BMI (β = -0.264, P = 0.012), being male (β = 0.262, P = 0.003), age (β = -0.210, P = 0.020), and FVC%predicted (β = 0.219, P = 0.026) as significant unique contributors. The final multiple linear regression model was significant [F (5, 50) = 19.08, P < 0.001] and explained 65.6% of the variance (R2 = 0.656) in the 6MWD. CONCLUSION: Lung function and respiratory muscle strength significantly contribute to functional exercise capacity in post-MI. This study emphasizes the importance of comprehensive respiratory function assessments in rehabilitation strategies to improve exercise capacity in patients with post-MI.Article A Copula-Based Classification Using Agglomerated Feature Selection_Extraction: An Application in Cervical Cancer Diagnostic(Ankara University, Faculty of Science, 2025-09-23) Kochan, Necla; Sheikhi, AyyubThe use of gene-expression datasets has significantly enhanced our understanding of complex diseases such as cancer. The importance of the relationship between genes in analyzing such datasets has been highlighted, indicating their crucial role in diagnosing the disease accurately. In this study, we investigate the associated copulas between attributes to extract fundamental block-related components. Subsequently, we perform a classification algorithm based on these components to classify a labeled target variable. Specifically, examining the practical implications and effectiveness of our approach in real-world scenarios, we provide a novel illustrative application in cervical cancer classification.Article Self-Reported Urinary Incontinence Prevalence in Women with Versus Without Regular Structured Exercise: A Cross-Sectional Study(Dokuz Eylül University Institute of Health Sciences, 2025-09-30) Goksuluk, Merve Basol; Yeşilyurt, Seda Yakıt; Olgun, Başak; Civelek, Buket; Erak, İlknur; Gürbüzer, EzgiPurpose: The aim of this study was to compare urinary incontinence (UI) between women with and without regular structured exercise habits. Material and Methods: A total of 184 women, including 92 with regular and structured exercise habits and 92 without, were included in this study conducted between May and December 2024. Reported UI (Global Pelvic Floor Bother Questionnaire), symptoms, and impact on quality of life (Incontinence Severity Index, International Consultation on Incontinence Questionnaire-Short Form) were assessed in all women. This study was conducted following the STROBE guidelines. Results: The prevalence of stress urinary incontinence (SUI), a subtype of UI, was significantly higher in women without structured exercise habits (p=0.018). The average duration of exercise among women with regular exercise habits was 24 months (range 6–240), and 85% practiced Pilates. In addition, women with structured exercise habits had higher education levels (p<0.001), and a large proportion were employed as civil servants and retirees (p<0.001 and p=0.002, respectively). Conclusion: Women who engage in regular and structured exercise have a lower prevalence of SUI. Women with exercise habits tend to have higher education and socioeconomic levels, and the impact of incontinence on quality of life is less severe.Article Model-Based Feature Selection Using Structural Equation Modeling for Enhanced Classification Performance in High-Dimensional Datasets(Gazi University, 2025-09-01) Albayrak, Muammer; Turhan, KemalFeature selection is becoming more and more important for machine learning and data mining. Especially for high dimensional datasets, it is necessary to filter out irrelevant and unnecessary features to overcome the problems of overfitting and multidimensionality. We hypothesized that an effective feature selection can be made with a model-based approach using the Structural Equation Modeling (SEM) method. The dataset consists of 2969 samples and 117 features. First, a measurement model created was tested with confirmatory factor analysis (CFA) and the number of features was reduced to 58 by removing the statistically insignificant features. In SEM analysis, sub-feature sets consisting of 55, 52, 41 and 35 features were obtained by removing the variables whose relationship was below the threshold values determined for the standardized regression coefficient (SRC). The obtained sub-feature sets were tested with a multilayer perceptron (MLP) and their effect on performance was examined. Results were compared with random forest feature importance as baseline method. SEM and random forest have generally performed very closely. While sub-feature sets created with the random forest in two-class classification produced better results, the sub-feature sets created with the suggested SEM-based method in three and five-class classification provided better performance. These results showed that effective feature selection can be made with the proposed model-based approach using SEM. With this approach, it is possible to obtain sub-feature sets that form a model which statistically significant and consistent with field knowledge by including expert knowledge in the modeling process.Article Return Transmission Among Fossil Energy Commodities, Clean Energy Stocks, Green Bonds, and Energy Cryptocurrency(Mehmet Akif Ersoy University, 2025-09-30) Cagli, Efe C.; Mandacı, Pınar Evrim; Kocakaya, Birce Tedik; Tedik Kocakaya, Birce; Evrim Mandaci, PinarThis paper investigates return transmission among fossil energy commodities (crude oil, natural gas, gas oil, unleaded gasoline, and heating oil), clean energy stocks, green bonds, and energy cryptocurrency markets. We consider Bloomberg’s fossil energy subindices to proxy various energy commodities. We use the WilderHill Clean Energy Index (ECO) and Solactive Green Bond Index (GB) as proxies for clean energy stocks and green bonds. In addition, the Powerledger (POWR) coin is used to proxy energy cryptocurrency. We employ the TVP-VAR frequency connectedness technique for the period from November 12, 2017, to September 28, 2023. Our findings indicate a moderate level of interdependence with an apparent increase observed during the COVID-19 pandemic. Notably, short-term factors play a significant role in shaping this connectedness. Furthermore, the analysis identifies clean energy stocks, green bonds and energy cryptocurrencies as recipients, while all fossil energy commodities other than natural gas and gasoline are identified as transmitters. These conclusions have important implications for investors and policymakers.Letter Response to: Effectiveness of a Program to Raise Awareness About Pneumococcal Vaccination Among Physicians and Patients with Chronic Respiratory Diseases: A Multicenter Cohort Study(Galenos Publ House, 2025-06-03) Şimşek, Nurdan; Altın, Sedat; Sayiner, Abdullah; Yalnız, Enver; Karakurt, Zuhal; Kul, Seval; Uslu, Ozgur; Veske, Nurdan Simsek; Karakut, Zuhal; Oruc, Ozlem