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 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 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.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, OzlemArticle Experimental Study of Evolution of Breach Resulting From Piping at Upper Part of Earth-Fill Dam(Turkish Chamber Civil Engineers, 2025-03-01) Guney, Mehmet Sukru; Tayfur, Gokmen; Bor, Asli; Okan, Merve; Dumlu, Emre; Aklık, PelinPiping and overtopping are the most important causes of earth-fill dam failure. Such dams may erode under seepage, causing a reduction in the structural strength. The aim of this study was to investigate the temporal evolution of the breach and flow rate from the breach resulting from the piping in earth-fill dams. The experiments were carried out at Hydraulics Laboratory of Civil Engineering Department of İzmir University of Economics. The dam was constructed by using a mixture consisting of 85 % sand and 15 % fine (low plasticity clay). In the first scenario a circular tunnel with a diameter of 2 cm was created along the centreline at 6 cm below the dam crest whereas in the second one it was located at the upper edge. Six cameras at different locations recorded the evolution of the progress of the breach formation. The pump flow rate was measured by magnetic flow meter, and the continuity equation was used to calculate the flow rate values from the breach. The time-varied values of the total breach areas were determined using the Gauss Area formula. The image processing method was also applied in the determination of the breach areas. The time-dependent changes of water depth in the channel were also recorded. The obtained experimental findings are presented and commented, together with the universal dimensionless curves. The failure of the dams occurred mainly because of the head cut erosion developed from downstream to upstream. When breaching started, the orifice flow was converted to open channel flow where breach bottom behaved like a broad crested weir. In the second scenario, the rigid lateral side considerably influenced the flow rate and the development of the breach. The peak flow rate corresponding to the first scenario was found approximately 2.3 times greater than that of the second one. The maximum values of all the breach parameters were reached earlier in the case of the seepage along the centerline. The ratios between the values corresponding to the first and the second scenarios were found as 3.25 and 1.75 for maximum breach areas at downstream and at upstream sides, respectively. These ratios were 2.44 and 1.37 for the average breach widths at downstream and upstream sides, respectively. A very good agreement was found between the area values obtained from Gauss area method and image processing technique, in both scenarios. This fact demonstrated that either of these two approaches can be used to determine the time-dependent breach areas. These experimental findings provide the opportunities for the calibration and validation of the numerical models used in the relevant numerical investigations. This study also offers guidance for the strategies concerning emergency action plans related to the failure of homogeneous earth-fill dams when the piping starts at upper part of the homogeneous earth-fill dams.Article Second Order Latent Growth Models and Measurement Equivalence(Turkish Education Assoc, 2011) Dural, Seda; Somer, Oya; Korkmaz, Mediha; Can, Seda; Ogretmen, Tuncay; Çetinkaya, Seda DuralResearch problems related to individuals' behaviors and attitudes requires examining inevitable changes over time. Because learning by nature implies change, analysis of longitudinal data becomes an important topic especially in the field of education. In this article, linear changes of a particular attribute over time was studied in the framework of the second order latent growth models by using data generated from Monte Carlo simulation. All analyses were performed by using Mplus 5.1 software. Related Mplus syntaxes were introduced and the interpretation of the model parameters was discussed. Additionally, it was explained how to study measurement equivalence in these models. Analyses were performed in three steps: (1) basic latent growth model, (2) latent growth model with weak measurement equivalence, and (3) strong measurement equivalence.Letter Can E-Cigarettes Be the Source of Lead Toxicity(AVES, 2024-11-07) Yılmaz, Seda; Kılınc, Oguz; Atik, Merve Demirci; Demirci Atik, MerveArticle Bioinformatics Based Drug Repurposing Approach for Breast and Gynecological Cancers: RECQL4/FAM13C Genes Address Common Hub Genes and Drugs(Galenos Publ House, 2025-01-02) Duran, Gizem Ayna; Duran, Assist. Prof. Dr. Gizem AynaObjective: The prevalence of breast cancer and gynaecological cancers is high, and these cancer types can occur consecutively as secondary cancers. The aim of our study is to determine the genes commonly expressed in these cancers and to identify the common hub genes and drug components. Materials and Methods: Gene intensity values of breast cancer, gynaecological cancers such as cervical, ovarian and endometrial cancers were used from the Gene Expression Omnibus database Affymetrix Human Genome U133 Plus 2.0 Array project. Using the linear modelling method included in the R LIMMA package, genes that differ between healthy individuals and cancer patients were identified. Hub genes were determined using cytoHubba in Cytoscape program. “ShinyGo 0.80” tool was used to determine the disease-specific biological KEGG pathways. Drug.MATADOR from the ShinyGo 0.80 tool was used to predict drug-target relationships. Results: The RecQ Like Helicase 4 and Family with Sequence Similarity 13 Member C genes were found to be similarly expressed in breast cancer and gynaecological cancers. Upon KEGG pathway analyses with hub genes, Drug.MATADOR analysis with hub genes related to cancer related pathways was performed. We have determined these gene/drug interactions: NBN (targeted by Hydroxyurea), EP300 (targeted by Acetylcarnitine) and MAPK14 (targeted by Salicylate and Dibutyryl cyclic AMP). Conclusion: The drugs associated with hub genes determined in our study are not routinely used in cancer treatment. Our study offers the opportunity to identify the target genes of drugs used in breast and gynaecological cancers with the drug repurposing approach.Article Demansın Davranışsal ve Psikolojik Belirtileri Bilgi Ölçeği’nin Türkçe Versiyonunun (DDPB-T) Geçerliliği ve Güvenilirliği: Bakıcılar Arasında Psikometrik Bir Değerlendirme(Turkiye Sinir ve Ruh Sagligi dernegi, 2024) Var, Levent; Güllüoğlu, Halil; Uysal, Hasan Armağan; Poyraz, Turan; Başaran, Simay; Eşkut, NeslihanAmaçArticle Citation - Scopus: 1Yaşlanmanın Yüz ve İsim Tanıma Üzerindeki Etkisi: Bir fMRI Çalışması(Turkish Association of Nervous and Mental Health, 2023) Haznedaroğlu, Damla İşman; Gönül, Ali Saffet; Eroğlu, Seda; Uslu, Özgül; Oğuz, Kaya; Erata, Mehmet Can; Kan, Öykü Yavuz; Erdogan, YigitAmaç: Bu çalışmanın amacı ilerleyen yaşla birlikte bellek görevi sırasında beyindeki fonksiyonel değişiklikleri tespit etmek ve bu değişikliklerin bellek performansıyla ilişkisini incelemektir. Yöntem: Çalışmaya Genç Yetişkin Grup (GYG; N=20; 20-25 yaş) ve İleri Yaş Grup (İYG; N=18; 60-70 yaş) olmak üzere iki grup dahil edilmiştir. Gruplara Montreal Bilişsel Değerlendirme (MoCA) puanları 21’in üstünde olan ve birinci dereceden akrabalarında Alzheimer Hastalığı öyküsü olmayan kişiler dahil edilmiştir. Katılımcılara yüz ve isimlerin öğrenildiği kodlama, yüz tanıma ve isim tanıma alt görevlerini içeren bellek görevi sırasında Fonksiyonel Manyetik Rezonans Görüntüleme (fMRG) çekimi yapılmıştır. Bulgular: GYG’a göre, İYG’de yüz tanıma görevinde sol posterior singulat korteks, sol süperior frontal korteks, sol fusiform yüz tanıma alanında; isim tanıma görevinde sol süperior frontal korteks, sağ prefrontal korteks, sol anterior+posterior singulat kortekste aktivite artışı bulunmuştur. İYG yüz tanıma ve isim tanıma bellek testlerinde daha düşük doğru sayısına sahiptir (sırasıyla p=0,026; p=0,001). Sonuç: Bulgular İYG’de bellek görevi sırasında beyinde daha yaygın bir aktivasyon ortaya çıktığını tespit etmiştir. Bu durum ilerleyen yaşla birlikte bellekteki bilgiler hatırlanırken kişilerin daha fazla nöral ve bilişsel kaynağa ihtiyaç duyduğunu göstermektedir.Article A Compact Three-Rotor Vtol Development for Medical Drug Transfer(2024-01-31) Çiçin, Kürşat; Kankaya, Ali; Yalçınkaya, Fatma; Orhan, Hediye; Türker, Sena; Keskin, İlknur; Efe, Enes; Yavsan, Emrehan; İlknur,This work presents the development of a low-cost and low-power consumption vertical take-off and landing unmanned aerial vehicle (VTOL-UAV) with a simple and innovative design approach. The VTOL-UAV is capable of runway-independent flight and has the ability to carry payloads such as medical drug boxes. The hull volume of the UAV has been maximized to enhance its carrying capacity, while a three-rotor configuration has been implemented to simplify the design, reduce costs, extend flight time, and minimize weight. The wing-mounted rotors are strategically positioned in vertical and horizontal orientations to ensure stable flight during take-off, landing, and cruise phases. The wings are detachable, enabling rapid repairs in the event of accidents. Powered by an advanced flight controller, the VTOL-UAV is capable of autonomous flight, making it suitable for delivering supplies and medical provisions to remote, hazardous, or emergency areas. Moreover, the UAV has the capability to operate at higher altitudes, avoiding obstacles in urban transportation. Overall, this work demonstrates the feasibility of developing a cost-effective and efficient VTOL-UAV with a straightforward design approach for diverse applications, including medical delivery and urban transportation.