İstanbul Gedik Üniversitesi Kurumsal Akademik Arşivi
DSpace@Gedik, İstanbul Gedik 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 etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.
Güncel Gönderiler
Analyzing traffic accident trends and correlations in Iraq: an investigative statistical approach
(American Institute of Physics, 2025) Hassooni, Dhuha Khalid; Ghasemlounia, Redvan; Hilal, Miami Mohammed; Al-Saffar, Zaid Hazim; Mohammed, Ghufran Taha
Traffic accidents are for two reasons, human-related and road-related structural behavior, two of which are in need of investigation. Herewith, this study embarks on an analysis of the dynamics of traffic accidents within Iraq, with a pronounced emphasis on statistical analyses concerning Baghdad, the capital city which is bearing the highest accident rates. An expansive dataset encompassing 10959 traffic incidents recorded over the year 2022 is utilized with this paper examining the distribution and nature of road accidents alongside the resultant degrees of injury. Through the deployment of Histograms and Q-Q Plots, the research confirms the normality of the data, paving the way for subsequent Pearson Correlation and ANOVA tests. These statistical methodologies reveal moderate, yet statistically insignificant, correlations between the nature of accidents and the characteristics of roads, with an F-statistic of 0.247 indicating no substantial effect of accident nature on the type of roads within Baghdad. Notably, the analysis extends to gender-referenced mortality records and root cause analyses that highlight significant seasonal fluctuations in accident occurrences, as well as pivotal gender disparities in road traffic incidents. The city-based accident records, detailed distributions of traffic accidents by nature, degree of injury, and recent accident trends, alongside statistical test visualizations, collectively underpin the analytical discourse. In conclusion, the paper asserts the critical necessity for targeted interventions and policy reforms aimed at mitigating these identified trends and contributing to the broader objective of enhancing road safety in Iraq.
Performance of ECC mortar containing limestone powder as a full replacement of fine aggregate
(American Institute of Physics, 2025) Mohammed, Ghufran Taha; Abed, Jasim Mohammed; Hassooni, Dhuha Khalid
Limestone powder (LP), derived from marble dust and stone waste, was utilized as a sand substitute in engineering cement compounds (ECC). This readily available material is a by-product of industrial waste from local quarries and stone cutting, and it was sourced from Mosul factories for this research. The study aimed to fully replace the fine aggregate in ECC with LP. Experimental findings demonstrated that LP had an impact on the hardening and drying process, resulting in longer drying and hardening times. Consequently, there was a decrease in the initial compressive and tensile strength. However, the use of finer LP compensated for this effect. Seven mixtures were tested with varying LP/PC (Portland Cement) replacement ratios (0.75, 1, 1.5, 2, 2.5, 3, and 3.5). The best results were obtained with mixture M5. The addition of LP led to an increase in compressive strength, with values reaching up to 32.40 MPa at 28 days. Finer LP particles further enhanced this effect. Conversely, increasing the LP/PC replacement ratio resulted in a reduction in tensile strength due to the higher water-cement ratio. The tempering effect contributed to an enhancement of 3.92 MPa in tensile strength. The incorporation of LP significantly reduced the environmental impact by decreasing the demand for natural resources. The use of limestone in the ECC mortar gave good results for tests of the mechanical properties of the mortar, as this is considered a viable option for use in building, construction, and repair operations. It is recommended that further improvements, research, and studies be conducted to improve the formulations and types of such alternative mortar.
The comparison of the effects of post-activity performance enhancement on foot plantar pressure and vertical jump in traditional set and cluster set training configurations
(MRE Press, 2025) Kale, Mehmet; Boyacı, Abdurrahman; Tolali, Ali Berkay; Yol, Yeliz; Ayaz, Ezgi; Tutar, Murat; Başoğlu, Umut Davut
Background: There is no study about the effects of post-activity performance enhancement on foot plantar pressure and vertical jump in different set configurations. This study aimed to compare the effects of post-activity performance enhancement on foot plantar pressure and vertical jump in traditional set and cluster set training configurations. Methods: The study included 27 volunteer university students (age: 20.0 ± 1.2 year, height: 180.2 ± 6.9 cm, body weight: 76.0 ± 11.8 kg). Static foot plantar pressure (SFPP), countermovement jump (CMJ), and squat jump (SJ) were performed as pre-tests 8 min after the half-squat 1 repetition maximum (HS 1RM) test. After pre-tests, 12 reps of training were performed with 70% of the HS 1RM by varying the training configurations of 1 × 12 reps traditional set (TS) on the 4th day, 3 × 4 reps cluster set 1 (CS1) with 30 s rest on the 8th day, and 6 × 2 reps cluster set 2 (CS2) with 10 s rest on the 12th day. Post-tests were performed in the following of each configuration. Repeated Measures Analysis of Variance (ANOVA) was used for the statistical comparison of the tests in four different time intervals. Results: There were no statistically significant SFPP differences in four different time periods, while statistically significant differences were found in the CMJ (p < 0.001) and SJ (p = 0.002). Pairwise comparisons showed that CMJ pre-test (CMJP RE ) had statistically significant differences with CMJT S, CMJCS1 and CMJCS2 . There were also differences between SJP RE and SJCS1, SJT S and SJCS2 for the SJ (p < 0.05). Conclusions: In conclusion, based on the results of the study, it is recommended to use any of the TS, CS1 and CS2 configurations to increase CMJ and to use the CS1 configuration to increase SJ as a performance enhancement at 8 min post-activity.
Adaptation of the quality of sibling experience scale for individuals with special needs siblings into Turkish: a methodological study
(Dokuz Eylül University Institute of Health Sciences, 2025) Özdemir, Tuğba; Karadağ, Gülendam; Bektaş, Murat
Purpose: The relationship between siblings, which is a lifelong bond, affects both the individual with special needs and their healthy sibling in many ways. This study was conducted to do the Turkish validity and reliability study of the Siblings' Experience Quality Scale (SEQS). Material and Methods: The study was carried out with individuals who were aged over 18 and had a sibling enrolled in the Guidance and Research Center of a province. Shapiro-Wilk normality test, Pearson correlation analysis, content validity index, Cronbach's Alpha coefficient, McDonald's omega test, confirmatory factor analysis, and t-test were used in data analysis. Results: The healthy siblings of 171 students with special needs voluntarily participated in the study. The scale explained 54.8% of the total variance. The omega reliability coefficient value for the overall scale was determined as 0.81. As a result of CFA, the fit indices were found as X2=247.893, df=128, X2/df=1.93, RMSEA=0.074, GFI=0.86, IFI=0.85, NFI=0.73, TLI=0.81, CFI=0.84, and AGFI=0.819. Conclusion: The SEQS was proven to be a valid and reliable measurement tool in the Turkish population.
Enhanced photovoltaic power forecasting in renewable energy systems using genetic algorithm and SVM approaches
(Institute of Electrical and Electronics Engineers Inc., 2024) Büyükbıçakcı, Erdal; Atlı, Cahit; Dumanlı, Metin; Bulat, Selçuk
Modern energy management struggles to integrate renewable energy (RE) resources like wind and solar electricity into power networks. Accurate power forecasting models improve grid reliability and stability, helping solve this problem. This research analyses renewable energy power forecasting models' literature, focusing on significant improvements in the last decade.High-quality statistical error metrics-based forecasting model research articles are examined. The proposed system includes data analysis, feature engineering, and model training. Feature engineering includes normalization, PCA, and WD. To increase the feature set, photovoltaic (PV) and wind power generating factors are considered. The GA-SVM-based model forecasted solar power outputs in renewable energy systems with 93.18% training accuracy. Innovative renewable energy forecasting methods, including feature engineering and model optimization, are reviewed in this article. For optimal RE resource integration into power networks, renewable energy forecasting must be more accurate and efficient.
