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 IISBF SosyoCom: Monthly Events and News Bulletin (Issue: 69, September 2026)(İstanbul Gelişim Üniversitesi / Istanbul Gelisim University, 2026) Istanbul Gelisim University Faculty of Economics, Administrative and Social SciencesThe “Friend” at the Other End of the Screen: AI Chat Applications and Our Mental Health One of the most widely discussed issues around artificial intelligence (AI) recently has been that AI is coming to the fore not only as a productivity tool but also as an “emotional companion. ” Through chat modes or “therapy-like conversation” bots, AI applications have taken their place in the emotional lives of millions of people. Generation Z in particular is increasingly normalizing the idea of having a readily accessible “conversation partner” for the mounting problems of daily life. An assessment published by the American Psychological Association (APA) reported that “according to a survey of 1,242 psychologists, more than 75% of psychologists said their clients mentioned artificial intelligence during sessions, while 35% said their clients viewed chatbots as an additional mental health professional. ”Öğe Türü: Öğe , İstanbul Gelişim Üniversitesi İİSBF SosyoCom: Aylık Etkinlik ve Haber Bülteni (Sayı: 69, Eylül 2026)(İstanbul Gelişim Üniversitesi / Istanbul Gelisim University, 2026) İstanbul Gelişim Üniversitesi İktisadi, İdari ve Sosyal Bilimler FakültesiEkranın Öbür Ucundaki “Dost”: Yapay Zeka Sohbet Uygulamaları ve Ruh Sağlığımız Son dönemde yapay zekâ (YZ) ile ilgili en çok konuşulan konulardan birisi, YZ’nin sadece bir üretkenlik aracı değil, “duygusal dost” işlevinin ön plana çıkması olmuştur. YZ uygulamaları, sohbet moduyla ya da “terapi gibi sohbet” botlarıyla milyonlarca kişinin duygusal yaşamında yerini aldı. Özellikle Z kuşağı, artan günlük yaşam sorunlarında hızlıca ulaşabilir bir “sohbet arkadaşı” edinmiş olmayı gün geçtikçe normalleştirmektedir. Amerikan Psikoloji Derneği (APA) tarafından yayınlanan bir değerlendirme “1.242 psikoloğu kapsayan ankete göre, psikologların %75'inden fazlası danışanlarının seanslarda yapay zekâdan söz ettiğini, %35'i ise danışanların chatbot'ları ek bir ruh sağlığı uzmanı gibi gördüğünü” bildirmiştir.Öğe Türü: Öğe , Comparative Analysis of Nature-Inspired Strategies in Building Engineering: A Multilevel Biomimicry Perspective(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2026) Şimşek, Ayşe; Yıldırım, Semih GökselThis study investigates the integration of biological strategies into building systems and engineering through a multilevel biomimicry perspective. A systematic evaluation framework is established, categorizing biomimicry into two approaches (problem-oriented and solution-oriented), three levels (organism, behavior, and ecosystem), and five imitation dimensions: form, material, construction, process, and function. The research focuses on the 'maturity period' of biomimetic architecture, analyzing landmark projects that fundamentally established the transition from formal imitation to functional and systemic biomimicry. Fifteen diverse building examples were selected globally based on their prominence in the literature and their role as pioneering prototypes representing different climatic regions. The methodology examines how these specific dimensions—particularly material and construction—contribute to structural efficiency and sustainability goals. Quantitative findings reveal that 60% of the cases adopted a problem-oriented approach, reflecting a prevailing tendency to solve specific design challenges through natural strategies. While organism-level applications are more frequent due to their relative simplicity in form-based imitation, the study indicates that the ecosystem level theoretically holds the highest potential for promoting holistic sustainability and complex system integration. Furthermore, the analysis suggests that moving beyond aesthetics to integrate 'construction' and 'process' dimensions—such as adaptive mechanisms—presents a comprehensive conceptual framework for supporting technical efficiency and environmental compatibility. These findings highlight biomimicry’s potential as a robust baseline for innovative building engineering, providing a taxonomic foundation for future research in computational design and sustainable structures.Öğe Türü: Öğe , Land Use and Land Cover Dynamics in Dinajpur District: Spatio-Temporal Trends and Future Scenario Using Google Earth Engine and CA–Markov Modeling(İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2026) Sizan, Mahfuj Ahmed; Rahman, Mahabub; Rasel, Osman GaniInvestigation on the detection and prediction of changes in land use and land cover (LULC) is essential for reinforcing sustainable management and planning. As a result, the purpose of this research was to discover LULC changes in the Dinajpur area of Bangladesh between 2000 and 2020, as well as anticipate future changes for 2040. Landsat-5, 7, 8, and 9 pictures, as well as vegetation indices and topographic parameters, were used to classify LULCs in 2000, 2005, 2010, and 2020. Classification was performed using the random forest (RF) machine learning method, which is embedded into the cloudbased platform Google Earth Engine (GEE). The classification accuracy evaluation found excellent agreement between the classified maps and the validation dataset, with kappa coefficients of 0.904, 0.919, 0.924, and 0.901 for the LULC maps of 2000, 2005, 2010, and 2020, respectively. The Spatio-Temporal Trends study shows that from 2000 to 2020, built-up land grew by 82.8%, barren land grew by 41.1%, and vegetation and agriculture shrank by 74.1% and 15.1%, respectively. The LULC state in 2040 was simulated using Cellular Automata-Markov. CA-Markov forecasts indicate that agricultural land would decline by 18%, while built-up and barren areas will rise by 27% and 22.6%, respectively. Furthermore, declining forest cover raised concerns about long-term ecological balance. The recent developments in Dinajpur highlight the need for a unified land strategy that balances urban growth and environmental protection.Öğe Türü: Öğe , Evaluation Of Bias Correction and Downscaling Methods For The Outputs of General Circulation Models(Istanbul Gelisim University Institute of Graduate Studies, 2026) Mtarfi, NouamaneSimulations conducted with General Circulation Models (GCMs) under the Coupled Model Intercomparison Project Phase 6 (CMIP6) provide the primary input for climate change impact studies․ However‚ due to their coarse spatial resolution and systematic biases‚ they cannot be directly used in assessments of regional climate change impacts and are frequently applied after bias correction․ While the number of studies on bias correction methods is growing‚ there is still need to have a comprehensive and comparative study for various bias correction methods in daily and monthly scale․ In this study‚ we compared the performance of linear scaling‚ quantile mapping‚ and artificial neural network (ANN)-based bias correction methods on daily temperature and precipitation outputs from six CMIP6 models for the Florya station of Istanbul‚ Türkiye‚ using the European Centre for Medium-Range Weather Forecasts Reanalysis Version 5 (ERA5) dataset during the period 1985-2014․ A wetday quantile mapping strategy was also employed for precipitation․ Corrected outputs were compared with NASA’s NEX-GDDP-CMIP6 products‚ and future climate projections were analyzed under the SSP2-4․5 and SSP5-8․5 scenarios for the 2015- 2100 period․ The 4-point interpolation by using Inversed Distance Weighting (IDW) was applied to obtain the climatic variables time series for the station from gridded data. The comparison based on the statistical (RMSE, correlation etc) and graphical illustrations (Taylor diagram, Q-Q plot etc). Overall‚ the best results for temperature correction were obtained with ANN‚ while the most realistic precipitation distribution was obtained with wet-day quantile mapping․ None of the methods notably improved the daily precipitation correlation‚ highlighting a key limitation of point-scale precipitation correction․ Locally calibrated corrections performed similarly to or better than the globally applied NASA benchmark‚ and future projections indicated continued warming and drying throughout the 21st century‚ particularly under the high-emission SSP5-8․5 scenario․ The findings of this study contribute to the understanding of bias correction method performance and provide useful information for future climate impact studies in the Florya station and the broader Istanbul region․
