DSpace Arşivi :: Ana Sayfa

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.

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Hypertension-Related Microstructural Changes in the Vitreous Humor Detected by Diffusion MRI
(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2026) Çapkan, Davut Ünsal
Aim: Hypertension is known to affect several target organs through chronic microvascular injury. Although ocular involvement is usually assessed by retinal or choroidal vascular findings, possible changes in the vitreous humor have received limited attention. This study investigated whether diffusion-weighted magnetic resonance imaging (DW-MRI) could detect hypertension-related alterations in the vitreous humor by measuring apparent diffusion coefficient (ADC) values. Method: This retrospective cross-sectional study included 100 patients with hypertension and 100 controls frequency matched to the hypertension group according to age and sex who had undergone orbital DW-MRI. Vitreous humor ADC values were measured on ADC maps using standardized regions of interest (ROI). Right, left, and mean ADC values were compared between groups. Multivariable linear regression was used to determine factors independently associated with mean ADC. Within-sample discriminative performance was explored using receiver operating characteristic (ROC) analysis. Intra-observer reliability was evaluated with intraclass correlation coefficients. Results: Mean vitreous ADC was significantly lower in participants with hypertension than in controls (2.18±0.20 vs. 2.32±0.18 ×10⁻³ mm²/s; p<0.001), with a moderate-to-large effect size (Cohen’s d=0.72). In multivariable analysis, hypertension remained independently associated with lower mean ADC after adjustment for age, sex, and diabetes mellitus (B=−0.160, 95% CI: −0.210 to −0.110; standardized β=−0.42; p<0.001). Mean ADC showed the highest within-sample discrimination among the evaluated measures (AUC=0.83, 95% CI: 0.77–0.89), with a data-derived cut-off of ≤2.25 ×10⁻³ mm²/s, 78.0% sensitivity, and 75.0% specificity. Age was inversely correlated with mean ADC (r=−0.34, p<0.001). Intra-observer reproducibility was excellent for mean ADC measurements (ICC=0.96, 95% CI: 0.94–0.97). Conclusion: Patients with hypertension had lower vitreous ADC values than controls, which may reflect subtle differences in vitreous microstructure. Although mean ADC showed within-sample discrimination between hypertensive participants and controls, these exploratory findings do not establish vitreous ADC as a clinical diagnostic test. Prospective multicenter studies incorporating comprehensive ophthalmological assessments and external validation are required to clarify the clinical relevance of these findings.
Joint Optimization for Energy Efficiency in UAV-Enabled Networks
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Tesfay, Cheru Haile; Xiang, Zheng; Yang, Long; Mahmood, Jabar; Chaudhry, Shehzad Ashraf; Das, Ashok Kumar
Unmanned Aerial Vehicles (UAVs) were originally designed for military and surveillance applications but are now significant in smart agriculture, wireless communication, and product delivery. In contrast to an Internet Service Provider (ISP), which typically relies on fixed base stations, which can fail in the event of a disaster, UAVs offer more stable alternatives. Because IoT devices, sensors, and ground users have limited processing power and battery life, there is a need for energy-efficient solutions. Meanwhile, users still expect high data rates. UAV-based wireless networks can meet these needs, even in harsh or disaster-hit areas. Current research focuses on improving energy efficiency and data transmission by optimizing UAV flight paths and scheduling. In this work, we tackle these issues by formulating a mixed-integer non-convex optimization problem that jointly considers device scheduling and UAV trajectory. We further decompose it into the following two parts: energy-efficient scheduling among ground users (𝑃2) and the trajectory optimization of UAVs (𝑃3). To address these issues, we develop a linear programming relaxation approach, a Quadratically Constrained Quadratic Programming (QCQP)-based Successive Convex Approximation (SCA) scheme, and the Block Coordinate Descent (BCD) algorithm. Experimental results demonstrate that our approach outperforms the state of the art in both power consumption and transmission rate.
Effect of miR-105-5p on Cell Proliferation, Colony Formation, and hTERT/P53/P21 Gene Expression in Multiple Cancer Cell Lines
(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2026) Örs, Aylin; Doğan, Hamide; Nas, Eylem; Sezan, Aycan; Çapanoğlu, Mehmet Yağız; Allababidi, Taoufik; Saygıdeğer, Burcu; Saygıdeğer, Yasemin
Aim: MicroRNAs are small endogenous RNA molecules that do not code for proteins but have the capacity to influence cancer development by promoting or inhibiting it. They play normal biological roles in regulating cell metabolism, development, apoptosis, and metastasis. While numerous studies on the functional mechanisms of miRNAs exist, there is limited research in the literature on miR-105-5p, a member of the miR-105 family. This study investigated the effects of miR-105-5p on cell proliferation, colony formation, and the expression of hTERT, P21, and P53 genes in five cancer cell lines: A549 (lung), Huh7 (liver), HCT116 (colon), MCF-7 (breast), and HeLa (cervix). Method: The expression of miR-105-5p was both upregulated and downregulated through transfection in the selected cancer cell lines. After transfection, assays were performed to assess cell proliferation, colonyforming ability, and the expression of the hTERT, P21, and P53 genes. Results: Overexpression of miR-105-5p inhibited proliferation in all cancer cell lines. miR-105-5p suppressed colony formation in A549, MCF-7, HeLa, and Huh7 cells. Differences in the expression levels of hTERT, P53, and P21 genes were observed in different cell lines due to the effect of the miR-105-5p mimic. Conclusion: Direct or indirect differences in hTERT gene expression levels suggest that miR-105-5p may be useful in targeted therapy.
Macroalgae-Derived Hydrocolloids and Their Applications in Food Industry and Their Health Effects
(Springer Science and Business Media Deutschland GmbH, 2026) Kezer, Gizem; Yusufoğlu, Büşra; Namlı, Serap; Darabidarestani, Sara; Harahap, Iskandar Azmy; Şensu, Eda; Trivedi, Esha; Yücetepe, Aysun; Ziora, Zyta M.; Esatbeyoğlu, Tuba
The growing global demand for sustainable food sources has intensified interest in macroalgae as an ecologically efficient and nutrient-rich biomass. Macroalgae are an important industrial source of hydrocolloids such as carrageenan, agar, alginate, ulvan, and fucoid an, which are widely used in the food, pharmaceutical, and cosmetic industries due to their gel-forming, thickening, and stabilizing properties. These polysaccharides exhibit not only outstanding techno-functional capabilities such as gel formation, thickening, stabilization, and viscosity Europe modification, but also important biological activities such as antioxidant, anti-inflammatory, antimicrobial, and anticancer effects. Furthermore, the chemical composition and bioactivity of macroalgae vary significantly depending on the species, environment, and extraction conditions, which requires systematic comparisons and optimization. This review summarizes the chemistry of hydrocolloids derived from macroalgae, extraction techniques, structure-function interactions, and recent developments in their practical applications in food processing. Additionally, their bioactive properties, including antioxidant, antimicrobial, immunomodulatory, and metabolism-related effects, are evaluated from a health perspective based on current experimental data. This study specifically compares traditional and newly emerging extraction strategies and relates their technological-functional performance in food systems to their potential roles as health-promoting agents. In contrast to previous studies that typically emphasize technological applications or biological activity separately, this review synthesizes both perspectives to provide a comprehensive understanding of macroalgal hydrocolloids. This synthesis consolidates existing knowledge and establishes a perception-focused integrated framework that can guide future innovations in the development of next-generation food applications and advanced biomaterials.
Precision Fault Diagnosis in Screw Compressors Using ANN
(Springer Science and Business Media Deutschland GmbH, 2026) Talbi, Nabil; Mehdi, Ouada; Rashid, Farhan Lafta; Ayoub, Hadad; Mouaadh, Chenikher; Kezzar, Mohamed; Sari, Mohamed Rafik; Chibani, Atef; Mahariq, Ibrahim
Screw compressors are critical assets in petroleum and chemical industries, where the ineffectiveness in the functioning may result in the considerable financial losses. The study introduces an effective fault diagnosis model, which is founded on the Artificial Neural Networks (ANNs) technology to distinguish between the malfunctions of the major compressor subsystems: engine, compressor block (CB), cooling system, and oil control circuit. Custodial ANN were trained on large industrial datasets, and attained high classification accuracy: 100% in the engine (3-12-7-3, MSE: 3.47e-17), 100% in the CB (2-13-8-5-3, MSE: 4.76e-18), 99.4% in the cooling system (2-11-6-3, MSE: 6.76e-14), and 100% in The system proved to be capable of working in severe operational conditions, such as high vibration (RMS 5.1 mm/s, gA 6 mm/s2 ) and high temperatures (up to 130 °C ), which was tested extensively. The findings support the argument that the suggested ANN-based solution is a scalable, high-fault diagnosis, and real-time solution, which is significantly superior to the traditional methods in order to minimize maintenance expenses and maximize operational efficiency of industrial screw compressors.