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 Echoes of the Past: Are E-Cigarettes the New "Light" Cigarettes(2026-01-29) Yıldız, E.; Kilinç, O.; Çuhadaroǧlu, Ç.Article Insulin Resistance in Preeclampsia and Its Effect on Maternal-Fetal Outcomes(Selçuk University, 2025-12-31) Okay, G.; Taner, C.E.Aim: It is controversial whether insulin resistance and hyperinsulinemia in preeclamptic patients are due to weight gain during pregnancy or preeclampsia. This research seeks to explore the relationship between insulin resistance and factors such as weight gain, obesity, biochemical indicators, and the fetal outcomes linked to insulin resistance in pregnant women experiencing mild and severe preeclampsia, excluding those with gestational diabetes. Methods: This research was carried out in the Perinatology Department of İzmir Tepecik Training and Research Hospital from July 2013 to January 2014, with the approval of the institution’s ethics committee. Non-diabetic preeclamptic 101 pregnant women between 18 and 44 years of age in 24-40 gestational weeks were involved in the research. We recorded demographic data, biochemical parameters, weight measurements, enquiries regarding glucose metabolism, and data about fetuses. A Homeostatic Model Assessment (HOMA) value of 2.5 or above, along with an insulin sensitivity index of 6 or below, was evaluated as indicative of insulin resistance. Results: There was no remarkable variation in both groups concerning fasting and postprandial glucose level, HOMA-IR (homeostatic model assessment insulin resistance), and insulin sensitivity index. Postprandial insulin levels were significantly elevated in the group with severe preeclampsia (p < 0,05). On the other hand, when we examined the effects on fetal outcomes, delivery time, birth weight, and 1 and 5 min Apgar scores were determined to be statistically significantly lower in the group suffering from severe preeclampsia. Conclusion: In our research, it was observed that postprandial insulin levels were considerably elevated in the group with severe preeclampsia. Postprandial insulin levels can be considered to predict the impact of insulin resistance and sensitivity on disease prognosis and maternal-fetal outcomes in preeclampsia patients without gestational diabetes. Therefore, its usefulness as a parameter for predicting metabolic syndrome in later years should be investigated in large prospective randomized controlled trials. © 2025, Selcuk University. All rights reserved.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 Relation Between Emerging Adults Attachment Styles And Rejection Sensitivity: The Mediating Role Of Emotion Regulation Difficulties(Association for Clinical Psychology Research, 2025-12-21) Zebil, Beyza; Koçak, AylinAlthough the relation between emerging adults’ attachment styles and rejection sensitivity is well-established, there remains a lack of understanding regarding the potential mechanisms that mediate this association. This study aims to explore the mediating role of emotion regulation difficulties in the relation between attachment styles and rejection sensitivity among emerging adults. The sample comprised of 373 participants aged 18-29 years (M<inf>age</inf> = 22.80 years, SD = 2.55), of whom 85.5% were female. Data was collected online. The ThreeDimensional Attachment Styles Scale was used to assess participants' attachment styles, the Difficulties in Emotion Regulation ScaleBrief Form was utilized to evaluate emotion regulation difficulties, and the Rejection Sensitivity Questionnaire measured levels of rejection sensitivity. The mediation analysis revealed that emotion regulation difficulties significantly mediated the relation between secure attachment style and rejection sensitivity. However, emotion regulation difficulties did not significantly mediate the relation between anxious-indecisive or avoidant attachment styles and rejection sensitivity. Notably, the analysis showed that females experienced greater difficulties in emotion regulation and these difficulties decreased with age. These findings highlight the complex interplay between attachment styles, emotion regulation difficulties, and rejection sensitivity among Turkish emerging adults. The results of this study will provide valuable insights to the professionals working with individuals experiencing rejection sensitivity, emphasizing the critical role of attachment security and emotion regulation. © 2026, Association for Clinical Psychology Research. All rights reserved.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 Porphyridium Cruentum as a Biological Component for the Green Synthesis of Metal Nanoparticles and for the Evaluation of Their Antimicrobial Activity(Field Crops Central Research Institute, 2025-08-21) Mutaf, Tugce; Çalışkan, Gülizar; Oncel, Suphi; Elibol, Murat; Mutaf-Kilic, TugceSilver nanoparticles are an alternative to new-generation antimicrobial agents with their antimicrobial activity. Iron and zinc nanoparticles can potentially be used as UV protection in various applications. Nowadays, green synthesis of nanoparticles as a sustainable alternative attracts attention. Microalgae are promising in nanoparticle synthesis among biological sources due to their high biomass productivity and heavy metal accumulation ability. The present study aimed to investigate the potential of synthesizing intracellular silver, zinc and iron nanoparticles from Porphyridium cruentum microalgae. For nanoparticle synthesis, the effects of metal solution concentration and amount of biomass on particle size were investigated. The nanoparticles were characterized by dynamic light scattering, UV-vis spectrophotometry, and antimicrobial activity test. Silver nanoparticles of 169.7 nm, zinc nanoparticles of 189 nm, and iron nanoparticles of 356.7 nm were characterized by DLS. 169.7 nm silver nanoparticles were synthesized with 9.83 mM AgNO3 concentration and 0.19 mg/ml biomass: metal solution mixing ratio. The surface plasmon resonance band of silver nanoparticles was observed in the 300-350 nm wavelength range. According to the antibacterial activity results of silver nanoparticles, inhibition zone diameters were obtained as 10.83±0.76 mm and 11.33±0.57 mm against Escherichia coli and Staphylococcus aureus bacteria, respectively.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 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.