İstanbul Gelişim Üniversitesi Kurumsal Açık Erişim Arşivi
DSpace@Gelişim, İstanbul Gelişim 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 etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.

Güncel Gönderiler
Öğe Türü: Öğe , Istanbul Gelisim University Faculty of Health Sciences: Monthly Events and News Bulletin (Volume: 6, Issue: 69, September 2026)(İstanbul Gelişim Üniversitesi / Istanbul Gelisim University, 2026) Istanbul Gelisim University Faculty of Health SciencesIGU Makes Its Mark at TEKNOFEST SOUTHEAST 2026: 3 Medals for Innovative Inventions! Gold Medal for IGU’s Invention on Artificial Intelligence Security IGU’s invention titled “Multimodal Artificial Intelligence Security Layer” was awarded a gold medal at ISIF 2026. The invention was developed by Yahya Kemal KIRAN, Director of the IGU Technology Transfer Office; M. Sencer KAÇAR, TTO Engineer; and IGU students Yusuf Enes GÜLTEKİN and Fatma KURT. Focusing on security in multimodal artificial intelligence systems, the project stood out with its innovative approach to ensuring the safe and reliable use of artificial intelligence technologies. Bronze Medal for an Image Processing-Based Measurement System IGU’s invention titled “Image Processing-Based Multi-Manometer Reading System” was awarded a bronze medal at the fair. The inventors were Prof. Dr. Adil YÜKSELEN; Yahya Kemal KIRAN, Director of the IGU Technology Transfer Office; Research Assistant H. Furkan ÇELİK from the Department of Aeronautical Engineering, Faculty of Engineering and Architecture; and Eren DOKUMACI, Assistant Specialist at the TTO. Developed to enable the rapid, simultaneous, and digital acquisition of measurement values from multiple analog manometers, the system captures images of a 32-channel manometer panel using a camera and detects the liquid level in each channel individually. Perspective correction, brightness balancing, and level detection are applied to the images, while machine learning support is used to filter out inaccurate or unreliable measurements. By converting the collected data into pressure values and displaying and recording them digitally, the system aims to provide faster, more systematic, and more reliable data monitoring in laboratory tests and industrial applications.Öğe Türü: Öğe , İstanbul Gelişim Üniversitesi Sağlık Bilimleri Fakültesi: Aylık Etkinlik ve Haber Bülteni (Cilt: 6, Sayı: 69, Eylül 2026)(İstanbul Gelişim Üniversitesi / Istanbul Gelisim University, 2026) İstanbul Gelişim Üniversitesi Sağlık Bilimleri FakültesiTEKNOFEST GÜNEYDOĞU 2026’ya İGÜ İmzası: Yenilikçi Buluşlara 3 Madalya! Yapay Zeka Güvenliğine Yönelik İGÜ Buluşuna Altın Madalya İGÜ’nün “Çok Modlu Yapay Zeka Güvenlik Katmanı” başlıklı buluşu, ISIF 2026 kapsamında altın madalyaya layık görüldü.Buluş; İGÜ Teknoloji Transfer Ofisi Müdürü Yahya Kemal KIRAN, TTO Mühendisi M. Sencer KAÇAR, İGÜ öğrencileri Yusuf Enes GÜLTEKİN ile Fatma KURT tarafından geliştirildi. Çok modlu yapay zeka sistemlerinde güvenliğe odaklanan çalışma, yapay zeka teknolojilerinin güvenilir kullanımına yönelik yenilikçi yaklaşımıyla öne çıktı. Görüntü İşleme Tabanlı Ölçüm Sistemine Bronz Madalya İGÜ’nün “Görüntü İşleme Tabanlı Çoklu Manometre Okuma Sistemi” başlıklı buluşu ise fuarda bronz madalya kazandı. Buluşun sahipleri Prof. Dr. Adil YÜKSELEN, İGÜ Teknoloji Transfer Ofisi Müdürü Yahya Kemal KIRAN, Mühendislik ve Mimarlık Fakültesi Uçak Mühendisliği Bölümü Arş. Gör. H. Furkan ÇELİK ve TTO Uzman Yardımcısı Eren DOKUMACI oldu. Çok sayıda analog manometreden alınan ölçüm değerlerinin hızlı, eş zamanlı ve dijital olarak elde edilmesi amacıyla geliştirilen sistem, 32 kanallı manometre panelini kamera aracılığıyla görüntüleyerek her kanaldaki sıvı seviyesini ayrı ayrı tespit ediyor. Görüntüler üzerinde perspektif düzeltme, parlaklık dengeleme ve seviye belirleme işlemleri uygulanırken, makine öğrenmesi desteğiyle hatalı veya güvenilir olmayan ölçümler ayıklanıyor. Elde edilen verilerin basınç değerlerine dönüştürülerek dijital ortamda görüntülenmesi ve kayıt altına alınmasıyla laboratuvar testleri ve endüstriyel uygulamalarda daha hızlı, düzenli ve güvenilir veri takibi hedefleniyor.Öğe Türü: Öğe , Investigation of Arterial Blood Flow Changes According To Compression Level in A Practical Blood Flow Restriction Training Method: A Cross-Sectional Experimental Study(Public Library of Science, 2026) Özağır, Meltem; Devran, Sergen; Akkoç, Orkun; Bayraktar, Bülent; Yücesir, İlkerBackground: Blood flow restriction (BFR) training is used to partially restrict limb blood flow during exercise. Practical blood flow restriction (pBFR) applications often rely on subjective pressure scales; however, the extent to which perceived compression levels influence arterial blood flow remains unclear. This study aimed to examine changes in popliteal artery blood flow velocity across different subjective compression levels during pBFR. Methods This cross-sectional observational study included 42 healthy physically active adults (18–37 years). pBFR was applied to the dominant thigh using a 5 cm elastic band wrapped twice around the proximal thigh. Participants reported perceived compression as free flow (0/10), light (3–4/10), moderate (6–7/10), and high (9–10/10). Popliteal artery blood flow velocity and vessel diameter were measured using Doppler ultrasound. Repeated-measures ANOVA was used to compare outcomes across compression levels. Pearson correlation analyses were performed to examine associations among blood flow velocity, thigh circumference, and skinfold thickness. Analyses were conducted using pooled male and female data. Results Blood flow velocity progressively decreased with increasing compression. Significant differences were observed between all compression levels (p< 0.001). Blood flow velocity values were significantly correlated across compression levels. No significant associations were found between anthropometric measures and blood flow velocity. Complete arterial occlusion was not observed in any participant. Conclusions Subjective pBFR compression levels were associated with graded reductions in popliteal artery blood flow velocity under the present experimental conditions. These findings reflect acute hemodynamic responses at rest and should not be generalized to exercise adaptations. Anthropometric characteristics were not associated with blood flow responses. Further research is needed to determine the translational relevance of subjective compression levels during exercise.Öğe Türü: Öğe , Roughness-Dependent Retention of a Reduced Rabies-Virus Model in a Platinum Nanochannel: A Molecular Dynamics Study(Elsevier Science, 2026) Singh, Narinderjit Singh Sawaran; Satea, Murtaja; Kadhum, Ali Jawad; Mahariq, Ibrahim; Barzani, Hemn A. H.; Hussein, Baydaa Abed; Jumaah, Mina D.; Taner, Mahmut; Salahshour, Soheil; Rahimi, A.Capturing nanoscale biological objects in nanochannels depends strongly on surface geometry and interfacial interactions. However, the spatial and temporal limitations of atomistic simulations prevent the direct representation of a complete rabies virion. In this study, we used molecular dynamics simulations to examine the force-driven retention of a reduced rabies-virus model with a characteristic size of approximately 4 nm in a water-filled platinum nanochannel with non-ideal surface roughness. The simulated construct was developed from reported rabies-virus structural information but did not reproduce the complete morphology, envelope, genomic content, or biological functionality of an intact virion. The atomic interactions were described using DREIDING and Universal Force Field parameters, the TIP3P water model, the embedded atom method for Pt–Pt interactions, and Lennard-Jones and Coulombic terms for interfacial interactions. After 10 ns of canonical equilibration at 300 K, the system underwent a 20 ns force-driven production stage. Roughness sizes of 35, 37, 40, and 43 Å were investigated. Among the four simulated configurations, the 40 Å roughness case produced the largest maximum density (0.187 atom/ų), the lowest maximum velocity (0.006 Å/ps), the largest retained surface-mesh volume (31,118 ų), and the most negative reduced-model–Pt interaction energy (−469.91 kcal/mol). The simulation-defined retained fraction for the reduced construct reached 95% at 20 ns. The weaker responses at 43 Å indicated a nonmonotonic dependence on roughness size within this model and the investigated geometries. These results characterized the force-driven behavior of a specific 4-nm construct under the stated simulation conditions; they did not establish roughness-dependent capture behavior for intact rabies virions or predict experimental device performance.Öğe Türü: Öğe , The Effect of Optimism, Pessimism, and Jealousy on Emotional Regulation in Athletes(Frontiers Research Foundation, 2026) Aydoğan, Mehmet; Şahinler, Yunus; Atasoy, TanerIntroduction: The aim of this study was to examine the distinct associations of optimism and pessimism with emotion regulation in athletes and to test whether jealousy mediates each association. Methods: The sample comprised 628 athletes from the Ata¸sehir and Bakırköy districts of Istanbul (mean age = 25.73). Data were collected using the Athlete Emotion Regulation Scale (AERS), the Athlete Optimism and Pessimism Scale (AOPS), and the Jealousy Scale for Athletes (JSA). Because AOPS is a two-factor instrument, optimism and pessimism were treated as separate subscale scores rather than combined into a single predictor. Two parallel mediation analyses were specified with Hayes PROCESS Model 4, with optimism or pessimism as the predictor (X), jealousy as the mediator (M), and emotion regulation as the outcome (Y). Results: In the optimism model, optimism negatively predicted jealousy (B = −0.52, p < 0.001) and positively predicted emotion regulation after controlling for jealousy (B = 2.20, p < 0.001); the indirect effect through jealousy was negative and significant (B = −0.70, bootstrap 95% CI [−0.8232, −0.5982]). In the pessimism model, pessimism positively predicted jealousy (B = 1.50, p < 0.001) and showed a negative direct association with emotion regulation (B = −2.06, p < 0.001); the indirect effect through jealousy was approximately B = 5.27 and was reported as significant based on 5,000 bootstrap samples (the 95% bootstrap confidence interval excluded zero). Discussion: These findings indicate that optimism and pessimism follow distinct pathways and should not be interpreted as a single combined psychological construct.


















