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 , Machine Learning Techniques for Solar Power Output Predicting(İlhami Çolak, 2024) Al-Mayyahi, Samaa; Yahya, Khalid; E.M. Yahya, Adel; Sarreb, Rebha Daw; Aldababsa, MahmoudIt is a challenge the world has never faced to shift away from energy sources that use fossil fuels and toward ones that are more sustainable and better for the environment. The development of solar photovoltaic (PV) systems is one of the most exciting developments in the field of renewable energy. However, because these devices operate inconsistently and only occasionally, integrating them into the energy grid presents several significant issues. Recent research examined how artificial intelligence (AI) and machine learning (ML) could be used to enhance the management, control, monitoring, maintenance, and performance of renewable energy systems. The aim of this article is to investigate if it is possible to predict the amount of power that photovoltaic (PV) systems will produce using machine learning long short-term memory (LSTM) neural networks and the Nadam optimizer. A particular kind of neural network that has performed well in time series forecasting is the long short-term memory (LSTM) design. The objective of this research is to develop a new method of weather forecasting that, when used over a time horizon of 24 hours, can produce reliable and precise projections of electricity output. The LSTM models are compared to the SARIMA and ARIMA time series models in the article. In comparison with modern approaches, the Nadam optimizer-based LSTM model provides predictions that are more accurate. In an attempt to enhance accuracy and dependability, the article also looks at how climate impacts predict solar energy. The Nadam optimizer and LSTM are combined in this work to anticipate solar power. The article's conclusions will assist in solar power system optimization, operation, and design, which will increase dependability and profitability.Öğe Türü: Öğe , Metatheatre in Brian Friel’s The Loves of Cass McGuire: The Semiotics of Make-Believe(University of Ljubljana Press, 2024) Badra, MahasenThe purpose of the present paper is to explore the metatheatrical techniques in The Loves of Cass McGuire by Brian Friel. Those include the play-within-a-play, expressionism, as well as the self-reflexive techniques of Brecht’s and Pirandello’s metatheatre. In terms of structure, character delineation, language and setting, Cass McGuire draws attention to Friel’s self-conscious devices. The play dramatizes the frustrations of Cass who deliberately chooses to withdraw to the realm of illusions and dreams, after being disappointed at the unpleasant realities she found at home. The study will also show how Friel managed to create a theatricalized balanced frame that draws the audience’s attention to the theatrical devices and structural features of his play on the one hand, and to the reality beyond the theatre, or the world as “a projection of human consciousness”, as Abel asserts, on the other.Öğe Türü: Öğe , Exploring the interplay between social media addiction, mindful eating, intuitive eating, orthorexia nervosa, and mental health in young adults(Laboratoire de Nutrition, Pathologie, Agro-biotechnologie et Sante (LAB-NUPABS), 2024) Bayram, Hatice Merve; Barçin Güzeldere, Hatice Kübra; Ede Çintesun, Elif; Margot Çelik, ZehraBackground: and the popularity of healthy eating movements on these platforms, a potential relationship between orthorexia nervosa (ON), intuitive eating, mindful eating, and social media addiction warrants investigation. Aims: This study aimed to explore the complex relationship between social media addiction, mindful eating, intuitive eating, ON, depression, anxiety, and stress in young adults. Subjects and Methods: A cross-sectional study was conducted on 303 students, in Istanbul, Türkiye, between December 2023 and May 2024. Participants completed an online questionnaire assessing demographic characteristics, Orthorexia Nervosa Questionnaire (ORTO-11), Intuitive Eating Scale – 2nd edition (IES-2), Mindful Eating Questionnaire (MEQ), Depression, Anxiety, Stress Scale-Short Form (DASS-21), and Social Media Addiction Scale (SMAS). Body weight and height information were self-reported. Data were analyzed using SPSS 24.0. Results: Of the participants, 67.7% were at risk of ON. According to ON classification, IES-2 and SMAS scores of participants with the risk of ON were higher and statistically significantly different compared to the participants with no risk of ON (p < 0.001, and p = 0.047, respectively). The ORTO-11 showed a positive moderate correlation with IES-2 scores (r = 0.401, p < 0.01), however, it showed a negative weak correlation with MEQ (r =-0.362, p < 0.01). Additionally, there was a negative weak correlation with ORTO-11 and SMAS (r =-0.104, p < 0.05). Logistic regression analysis revealed that all predictors were associated with the risk of ON. These variables predicted 13% of the variance. Conclusion: The results suggest that modern social media may contribute to orthorexic symptoms, mindful and intuitive eating behaviors, and mental health outcomes.Öğe Türü: Öğe , Sequential correction of blepharophimosis syndrome: comparison of anatomical outcomes for surgery before and after 24 months of age(Elsevier, 2026) Yılmaz, İbrahim Edhem; Doğan, Semih; Doğan, Levent; Kara, Necip; Arı, ŞeyhmusPurpose: To evaluate the safety and morphometric outcomes of early sequential surgical correction in pediatric patients with blepharophimosis-ptosis-epicanthus inversus syndrome (BPES) with significant functional impairment, comparing patients under and over 24 months of age. Methods: The medical records of consecutive BPES patients undergoing two-stage treatment of Y-V epicanthoplasty followed by silicone frontalis suspension from 2019 to 2021 were retrospectively analyzed. Primary outcomes included morphometric parameters: ratio of inner intercanthal distance (IICD) to horizontal palpebral fissure length (HPFL), margin reflex distance-1 (MRD1), and vertical palpebral fissure length (VPFL). Secondary outcomes were visual axis clearance, compensatory posture resolution, and complications. Statistical analysis employed repeated measures ANOVA with Bonferroni correction. Results: A total of 20 patients were included. Mean age at surgery was 43.4 ± 32.4 months (range, 6-120), with 11 patients (55%) under 24 months. At 6 months' follow-up, all morphometric parameters demonstrated significant improvement (P < 0.001): IICD/HPFL ratio decreased from 1.82 ± 0.23 to 1.13 ± 0.08; VPFL increased from 3.92 ± 0.71 mm to 8.22 ± 0.44 mm; and MRD1 improved from 0.45 ± 0.91 mm to 4.17 ± 0.40 mm. Visual axis clearance and resolution of compensatory chin-up posture were achieved in 100% of cases; surgical success (IICD/HPFL <1.3), in 95% of patients (19/20). Age-stratified analysis revealed no significant differences in outcomes between cohorts (P > 0.05). Grade I complications occurred in 5 patients (25%) and resolved conservatively. Conclusions: In select infants with severe BPES, early two-stage sequential correction can achieve visual axis clearance and anatomical outcomes comparable to those achieved in older children.Öğe Türü: Öğe , Color stability, surface topography, and phase transformation of zirconia fabricated by additive and subtractive manufacturing after exposure to different artificial saliva formulations(Mosby, 2026) Sasany, Rafat; Uçar, Sultan Merve; Gómez-Polo, Miguel; Revilla-León, Marta; Mosaddad, Seyed AliStatement of problem: How variations in salivary chemistry affect the long-term stability of additive manufacturing (AM) and subtractive manufacturing (SM) zirconia is unclear. Purpose: The purpose of this in vitro study was to evaluate the effects of different salivary environments on the color stability, surface roughness, and phase transformation of zirconia fabricated by AM and SM. Material and methods: Disk-shaped specimens (n=160) were fabricated from 4 zirconia materials: 2 AM-AMZ-LI (LithaCon 3Y, produced via lithography-based ceramic manufacturing [LCM]) and AMZ-IN (INNI Cera, produced via digital light processing [DLP])-and 2 SM-SMZ-ST (monolayer Katana ST) and SMZ-ML (multilayer Katana STML). Each material group was divided into 4 subgroups (n=10) based on the aging medium: distilled water (DW), neutral artificial saliva (AS7), acidic artificial saliva (AS4), or enzymatic artificial saliva containing α-amylase (ASE7). Surface roughness (Ra), color change (ΔE₀₀), and phase transformation were assessed. Data were analyzed using a 3-way repeated measures ANOVA with Tukey HSD or Bonferroni post hoc tests (α=.05). Results: Ra was significantly affected by material type, aging condition, and fabrication method (all P≤.001), with AMZ-LI and SMZ-ML maintaining the lowest Ra values (<0.60 µm) after aging. Color stability was similarly influenced (P<.001), with all groups remaining within clinically acceptable limits (ΔE₀₀≤1.8). AMZ-LI (0.60 ±0.08 in DW; max=1.26) and SMZ-ML (0.84 ±0.05 in DW; max=1.20) showed the highest color stability, while SMZ-ST and AMZ-IN had higher ΔE₀₀ in acidic and enzymatic media. Phase transformation was more pronounced in SM groups (P<.05), with SMZ-ML showing the greatest monoclinic increase, and AMZ-LI exhibiting the highest phase stability. Conclusions: Both manufacturing techniques and aging environments significantly affected zirconia's surface, optical, and phase properties. AMZ-LI showed superior resistance to surface and phase degradation, while AMZ-LI and SMZ-ML exhibited the highest optical stability.


















