Aksaray Üniversitesi Kurumsal Akademik Arşivi
DSpace@Aksaray, Aksaray Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor, araştırma verisi gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images
(Springer, 2025) Deniz, Hatice Ahsen; Bayrakdar, İbrahim Şevki; Nalçacı, Rana; Orhan, Kaan
Objectives: The nasopalatine canal (NPC) is an anatomical formation with varying morphology. NPC can be visualized using the cone-beam computed tomography (CBCT). Also, CBCT has been used in many studies on artificial intelligence (AI). The “You only look once” (YOLO) is an AI framework that stands out with its speed. This study compared the observer and AI regarding the NPC segmentation and assessment of the NPC furcation status in CBCT images. Methods: In this study, axial sections of 200 CBCT images were used. These images were labeled and evaluated for the absence or presence of the NPC furcation. These images were then divided into three; 160 images were used as the training dataset, 20 as the validation dataset, and 20 as the test dataset. The training was performed by making 800 epochs using the YOLOv5x-seg model. Results: Sensitivity, Precision, F1 score, IoU, mAP, and AUC values were determined for NPC detection, segmentation, and classification of the YOLOv5x-seg model. The values were found to be 0.9680, 0.9953, 0.9815, 0.9636, 0.7930, and 0.8841, respectively, for the group with the absence of the NPC furcation; and 0.9827, 0.9975, 0.9900, 0.9803, 0.9637, and 0.9510, for the group with the presence of the NPC furcation. Conclusions: Our results showed that even when the YOLOv5x-seg model is trained with the NPC furcation and fewer datasets, it achieves sufficient prediction accuracy. The segmentation feature of the YOLOv5 algorithm, which is based on an object detection algorithm, has achieved quite successful results despite its recent development.
The Effects of Storage Conditions and Homogenisation Buffers on the Measurement of SOD, CAT and ADA Enzyme Activities in Cattle Liver
(John Wiley and Sons Inc, 2025) Balkan, Burcu Menekşe; Meral, Öğünç; Çetintav, Bekir; Tutun, Hidayet; Özkurt, Güzin
Background: Accurate measurement of enzyme activities is very important in studies to evaluate enzymatic parameters. While performing these measurements, many factors can affect the results, including the method of obtaining the tissues, the conditions under which they are stored until analysis, and the methods of determining enzyme activity. Objectives: This study aimed to investigate the effect of different storage conditions (time and temperature) and different homogenisation buffers (PBS or KCl) on the enzymatic activity of superoxide dismutase (SOD), catalase (CAT), and adenosine deaminase (ADA) in homogenised cattle liver. Methods: Fresh liver tissue samples were obtained from the slaughterhouse and homogenised in different homogenisation buffers. Supernatants from each sample were divided into three groups according to the experimental design of the study. SOD, CAT and ADA enzyme activities in homogenised tissues were evaluated. Results: Our data revealed that SOD, CAT and ADA activities did not differ significantly between PBS and KCl groups or between -20°C and -80°C freezing temperatures. However, our results showed that SOD levels decreased over time in both groups, CAT levels demonstrated a significant decrease from Month 0 to Month 3 and ADA levels decreased significantly over time. Conclusions: The results indicated that storage time had a significant effect on enzyme activity changes, but the effect of storage temperature and homogenisation buffer was generally limited. These results may support the measurement of enzymatic activity in liver homogenate immediately and, if necessary, after freezing for the shortest possible time.
Revealing Molecular Diagnosis With Whole Exome Sequencing in Patients With Inherited Retinal Disorders
(John Wiley and Sons Inc, 2025) Yavaş, Cüneyd; Doğan, Mustafa; Gezdirici, Alper; Aslan, Elif Sibel; Karapapak, Murat; Barış, Savaş; Eröz, Recep
Inherited retinal diseases (IRDs) constitute a heterogeneous group of clinically and genetically diverse conditions, standing as a primary cause of visual impairment among individuals aged 15–45, with an estimated incidence of 1:2000. Our study aimed to comprehensively evaluate the genetic variants underlying IRDs in the Turkish population. This study included 50 unrelated Turkish IRD patients and their families. Genomic DNA was extracted from each participant, and candidate variants were identified via next-generation sequencing to determine their pathogenicity. We detected variants in 58% of the patients, of which six novel variants were identified. Among these, 16 cases exhibited variants associated with retinitis pigmentosa and Stargardt disease, while 13 presented variants linked to other retinal diseases. The spectrum of identified variants included 21 homozygous cases and five compound heterozygous variants, both indicative of autosomal recessive inheritance. Three cases revealed heterozygous variants suggestive of autosomal dominant inheritance, and two cases featured hemizygous variants suggestive of X-linked inheritance. Importantly, no matches with copy number variants were detected in our analysis. This study comprehensively portrays clinical and genetic profiles within the Turkish population affected by IRDs. Identifying novel variants and delineating inheritance patterns contribute to a deeper understanding of the genetic diagnosis of IRDs, paving the way for more precise diagnostic and therapeutic interventions. © 2025 The Author(s). Clinical Genetics published by John Wiley & Sons Ltd.
Predictive Value of Ionized Calcium Level for Sinus Rhythm Conversion in Adenosine Treatment for Paroxysmal Supraventricular Tachycardia
(Elsevier Inc., 2025) Sert, Ekrem Taha; Kokulu, Kamil; Mutlu, Hüseyin; Gönen, Mustafa Önder; Sert, Zekiye Soykan
Background: Paroxysmal supraventricular tachycardia (SVT) is a recurrent tachydysrhythmia that often leads to emergency department (ED) visits and is commonly treated with intravenous adenosine. Objective: The objective of this paper is to evaluate the relationship between the initial ionized calcium (iCa) level and the achievement of normal sinus rhythm following 6 mg adenosine administration in patients with SVT. Methods: This retrospective, single-center study was conducted in the ED from 2019 to 2023 and included consecutive adult patients diagnosed with SVT who received adenosine treatment. The patients were categorized into two groups based on their response to adenosine treatment. The receiver operating characteristic (ROC) curves were constructed to evaluate the effectiveness of iCa levels in predicting conversion to sinus rhythm. Results: A total of 326 patients were analyzed. The mean iCa level in patients who achieved a sinus rhythm after the initial 6-mg dose was 1.13 ± 0.08 mmol/L, as compared to 1.03 ± 0.11 mmol/L in those who did not respond to this dose, indicating a statistically significant difference (mean difference [95% confidence interval (CI)]: −0.101 [−0.12 to −0.07]). The area under the ROC curve was calculated to be 0.803 (95% CI: 0.752–0.854). An iCa cut-off value of 1.14 mmol/L was determined to be significant for the prediction of achieving sinus rhythm, with a sensitivity of 64.75% (95% CI: 55.6–73.2) and a specificity of 87.75% (95% CI: 83.6–92.7). Conclusion: Our study suggests that the iCa level may be a useful parameter for predicting the response to the 6 mg adenosine dose in patients with SVT.
A computational approach for infrared heating with experimental validation: Surface decontamination process in industrial scale
(Institution of Chemical Engineers, 2025) Erdaş, Ayşe Hümeyra; Karataş, Ozan; Uyar, Rahmi; Erdoğdu, Ferruh
Infrared (IR) processing offers advantages for food processing, and this application is important to revolutionize the food processing for the new era in the industry 5.0. The shorter penetration depth (compared to the microwave and radio frequency processing) limits its application to surface heating, and industrial design of such systems has challenges with the requirement of a computational model. Therefore, the objectives of this study were to develop a computational model and demonstrate the process effects for surface decontamination in an industrial scale system. For this purpose, a computational model was developed and experimentally validated using an aluminum cylinder object and fig samples. Model application for surface decontamination process of figs (for inactivation of Cladosporium spp. and B. cinerea) was demonstrated, and the validated model was used for designing an industrial scale process design. Further research on design and optimization for various processing operations could increase the applicability and effectiveness in industrial scale processes.
