Kırşehir Ahi Evran Üniversitesi Kurumsal Akademik Arşivi
DSpace@Kırşehir, Kırşehir Ahi Evran 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 yayınların etkisimi artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
The Psychometric Properties of the Turkish Version of the Stress Scale for Siblings of Childhood Cancer Patients
(John Wiley and Sons Inc, 2025) Aksoy, Bahar; ; Doğan, Melike Demir; Bolacali, Edanur Tar; İnci, Tuğba
Aim: This study aimed to evaluate the psychometric characteristics of the Turkish version of the “Stress Scale for Siblings of Childhood Cancer Patients (SCCP)”. Methods: This study was conducted with 273 siblings aged 11-16 of childhood cancer patients (SCCPs) who were treated in a hospital in the Black Sea Region of Türkiye between March 2022 and April 2024. Data were collected with “The Sociodemographic Information Form” and “SCCP”. The data were examined through descriptive statistics, as well as exploratory and confirmatory factor analyzes. Results: The SCCP Turkish version is a valid and reliable scale consisting of 27 items and six sub-dimensions. The SCCP Turkish version explained 77.676% of the total variance. The SCCP Turkish version was found to be summable according to Tukey's test of additivity (p = 0.334), and the test-retest reliability of the scale was r = 0.864 (p < 0.05). Conclusion: This study indicate that the Turkish version of the SCCP is a valid and reliable instrument for evaluating stress levels in siblings aged 11 to 16. Practice Implications: With SCCP, nurses can determine the stress levels of SCCPs and contribute to the planning of necessary interventions to cope with stress.
A New Method for Detection of Microbursts Via Point Observation Methods and Field Measurement for Validation Study with Doppler Weather Radar
(Public Library of Science, 2025) Külüm, Ekim; Genç, Mustafa Serdar; Karagöz, Ferhat
Wind shear (WS) phenomena are critical in many applications, especially in aviation, wind energy and urban planning. Microburst (MB) detection is important for ensuring safety during aircraft landing/takeoff, eliminating imbalances caused by shear from wind turbines, and for static calculations in urban planning. In this study, microburst events were detected using meteorological data. A new algorithm was applied to Light Detection and Ranging (LIDAR) data and 3 different cup anemometer data were available for 1-min and 10-min measurement periods. First, MB condition parameters using power law and basic wind shear analysis based on the scope of international criteria were defined, then checked in the algorithm. All results are compared with each other on behalf of detected microburst count, day, minute, and period. Detected events were matched at 66% and 85%, respectively, 10-min, and 1-min intervals. Validation studies were carried out for the same location by analysing the reflection values, reflection image and velocity product of the Doppler Weather Radar (DWR) with classical methods. However, when the radar results compared with 1- and 10-minute data sets, it was shown that 80% and 75% of daily events matched. The algorithm provided good continuity across LIDAR, different cup anemometers, and the weather radar. Consequently, the new algorithm will provide a great economic advantage.
Neuronal Imaging at 8-Bit Depth to Combine High Spatial and High Temporal Resolution With Acquisition Rates Up To 40 kHz
(John Wiley and Sons Inc, 2025) Abbas, Fatima; İpek, Ömer Yusuf; Moreau, Philippe; Canepari, Marco
A challenge in neuroimaging is acquiring frame sequences at high temporal resolution from the largest possible number of pixels. Measuring 1%–10% fluorescence changes normally requires 12-bit or higher bit depth, constraining the frame size allowing imaging in the kHz range. We resolved Ca2+ or membrane potential signals from cell populations or single neurons in brain slices by acquiring fluorescence at 8-bit depth and by binning pixels offline, achieving unprecedented frame sizes at kHz rates. In hippocampal slices stained with the Ca2+ indicator Fluo-4 AM, we resolved transients at 2 kHz from large frames. Along the apical dendrite of a layer-5 pyramidal neuron, we measured Ca2+ signals associated with a back-propagating action potential at 10 kHz. Finally, in the axon initial segment of the same cell type, we recorded an action potential at 40 kHz by voltage-sensitive dye imaging. This approach unlocks the potential for a range of imaging measurements.
Comparative Analysis of Excitonic and Biexcitonic Effects on the Power Conversion Efficiency of a CdSe/CdTe/ZnTe Quantum Dot Solar Cell
(John Wiley and Sons Inc, 2025) Ünlüler, Murat; Koç, Fatih
In this study, the power conversion efficiency (PCE) of a CdSe/CdTe/ZnTe quantum dot solar cell (QDSC) is investigated considering the influence of internal parameters such as CdSe core radius and CdTe and ZnTe shell thickness along with external parameters such as temperature and hydrostatic pressure. A comparative analysis is performed using both the original detailed balance model (ODBM) and the modified detailed balance model (MDBM). The main focus of the research is to investigate the effects of excitonic and biexcitonic effective gap energies, as well as the biexciton bound state, on the PCE in the presence of multiple exciton generation (MEG). Calculations using both ODBM and MDBM indicate that the distinct excitonic and biexcitonic effective bandgap energies, resulting from strong confinement effects in quantum dot (QD) structures, significantly affect the PCE in the presence of MEG. In addition, MDBM calculations considering the biexciton bound state show that this bound state critically affects the PCE. The discrepancy between the theoretically predicted maximum PCE and the considerably lower PCE observed in practical applications of QDSCs is also examined, along with the potential reasons for this phenomenon.
Comparative Analysis of Biofilm Structures in Salmonella Typhimurium DMC4 Strain and its Dam and Seqa Gene Mutants using Fourier Transform İnfrared Spectroscopy (FT-IR) and Raman Spectroscopy Methods
(Springer Nature, 2025) Özdemir, Caner; Erdoğan, İbrahim; Özdemir, Kağan; Akçelik, Nefise; Akçelik, Mustafa
It is well-established that the dam and seqA genes act in the biofilm production in Salmonella. However, the molecular basis underlying this activity remains unexplored. This study aims to address this gap in the literature. In this study, comparative Fourier Transform Infrared (FT-IR) Spectroscopy and Raman spectral analyses were conducted to investigate the molecular basis of decreases in swimming, swarming motility, and biofilm characteristics observed in the dam and seqA gene mutants of S. Typhimurium DMC4 wild-type strain. The comparative analysis revealed a pronounced reduction in proteins, lipids, carbohydrates, and nucleic acids within the biofilm structures of mutant strains. These findings confirm that these macromolecules are crucial for the integrity and functionality of biofilm structures. FT-IR analysis showed that while amide-I bands decreased in the biofilm structures of mutant strains, amide-II bands increased compared to the wild-type strain. Similarly, Raman analyses indicated an increase in amide-IV bonds and a decrease in amide-V bonds. The parallelism between FT-IR and Raman spectral analysis results, particularly regarding amide I, amide V, amide II, and amide IV bands, is noteworthy. Additionally, these findings may lead to the development of markers for rapidly diagnosing transitions from planktonic to biofilm form in Salmonella. The substantial decrease in β-glucans and lipids, including cellulose, within the biofilm matrix of mutant strains highlights the critical role these polymers play in swimming and swarming motility. Given the clinical and industrial importance of Salmonella biofilms, it is crucial to develop strategies to prevent biofilm formation and identify target molecules that can inhibit biofilm formation. The results of our study suggest that β-glucans and amides are essential targets in the effort to combat Salmonella biofilms.
