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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What can Google Trends and Wikipedia-Pageview analysis tell us about sustainability and sustainable diets?
(Istanbul Medipol University, 2025) Bayram, Hatice Merve; Öztürkcan, Arda
The study aimed to determine the public interest in sustainability and sustainability diet-related topics. Wikipedia Pageviews analysis and Google Trends data were used for the relative internet search popularity on “sustainability” and diet-related topics from 1 July 2015 to 1 May 2023. “Sustainability” was particularly popular in European countries. “Climatarian diet” was a new term, and only three countries were searched. Relative Search Volume increased most dynamically for the topics “Sustainability”, “Sustainable diet”, “Plantbased diet”, “Mediterranean diet”, and “Pescetarianism”, while page views increased most dynamically for the topics “Plant-based diet”, “Flexitarianism”, and “Mediterranean diet”. According to both Wikipedia and Google Trends, there was a positive correlation between “Sustainability” and “Healthy diet”, “Plant-based diet”, “Mediterranean diet”, “Veganism”, “Raw foodism”, and “Pescetarianism”. Understanding the public’s interest in sustainability and sustainable diets is critical to developing and choosing strategies for transitioning to sustainable diets.
Creating User-Centric and Artificial IntelligenceEnhanced Hybrid Authentication Systems and Policies: A Theoretical Approach
(Institute of Electrical and Electronics Engineers Inc., 2025) Şenol, Mustafa; Haşıloğlu, Abdülsamet
With the rapid acceleration of digitalization in today's world, the need for secure and user-friendly authentication systems has increased. This study examines the theoretical foundations of user-centric and artificial intelligence (AI)-enhanced hybrid authentication systems. This approach, which is based on the integration of passwords, biometric data, and behavioral biometric features, aims to enhance security and improve user experience. Enhanced through AI-supported processes and applications, this approach provides higher security and user satisfaction compared to traditional authentication methods. Findings indicate that the integration of traditional biometric and behavioral biometric data accelerates authentication processes and further increases security. This theoretical approach forms an important foundation for future applications and systems to be developed in the field.
Unlocking resilience: emotional intelligence and self-leadership shape stress perception among health students
(Inderscience Publishers, 2025) Zahoor, Hina; Mustafa, Nasir; Ashifa, K. M.; Safaei, Mehdi; El Gamil, Rehab
Academic expectations, interpersonal issues, and patient care can stress students. If unaddressed, these pressures can affect kids’ learning, performance, and well-being. Still, emotional intelligence and self-leadership will help health sciences students manage stress and perform better in any subject. This study examined how emotional intelligence, self-leadership, and stress affected health sciences students. A cross-sectional descriptive study examined 411 undergraduate students from Istanbul Gelisim University, categorised by year of study (first, second, third, and fourth). The survey included 305 females and 106 males. Data were collected using demographics, SSEIT, ASLQ, and PSS-10 scales; 96.5% responded. Higher emotional intelligence, constructive cognition, task drive, and behaviour awareness predict lower reported stress. A negative and significant relationship between felt stress and emotional intelligence, constructive cognition, task motivation, behaviour awareness, and self-leadership. The authors suggest including self-leadership, emotional intelligence, stress management seminars, and positive reframing in the curriculum to help students develop emotional regulation, constructive thinking, and resilience.
Art Therapy in Cancer
(Psychotherapy for Cancer Patients, 2025) Demir, Volkan
The use of art for mental health treatment has become increasingly important in recent years because of its healing and transformative properties. Art therapy allows individuals diagnosed with cancer to express their feelings, thoughts, and illness experiences and increases coping skills by enabling individuals to discover new ways through art products. Studies conducted with patients with cancer emphasize the healing power of art. Through the therapeutic process, individuals diagnosed with cancer gain insight into their feelings and thoughts through artistic activities such as painting, clay, collage, music, and poetry. Literature reviews indicate that art therapy increases the psychological wellbeing of individuals diagnosed with cancer; facilitates coping with feelings of loneliness, helplessness, and hopelessness; and is effective in reducing the levels of psychological symptoms. This chapter conceptually reviews art therapy and presents case examples of art therapy applications in individuals diagnosed with cancer. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Multi-algorithm optimization and dimensional assessment of steel castellated beams with sinusoidal web openings subjected to static loads
(Springer Nature, 2025) Albayati, Marwan Abdulkareem Shakir; Noori, Ahmad Reshad
Sinusoidal castellated beams are increasingly applied in modern steel structures due to their enhanced stiffness-to-weight ratio, yet their optimal design remains largely unexplored. This study introduces a novel multi-algorithmic optimization framework for the design of sinusoidal castellated steel beams, a topic that has received limited attention in the literature. Spanning five different beam lengths (300–700 cm), the approach integrates five metaheuristic algorithms Cyclical Parthenogenesis Algorithm CPA, Improved Ray Optimization IRO, Tug of War Optimization Algorithm TWO, Vibrating Particles System Algorithm VPS, and Imperialist Competitive Algorithm ICA to optimize and assess structural designs based on four key criteria: construction cost, processing time, dimensional consistency, and solution stability. Among the tested methods, CPA and TWO consistently delivered the most cost-efficient and dimensionally robust solutions, while VPS yielded the most economical results, particularly for 700 cm length. Dimensional optimization focused on four core section variables, allowing the identification of algorithm-specific behaviors under sinusoidal web constraints. Moreover, the dimensional assessment did not only optimize the four section variables but also revealed each algorithm’s perspective in selecting the most appropriate dimension under design constraints, aligned with potential failure modes an aspect not previously addressed in castellated beam studies. In addition, convergence trend and sensitivity analyses revealed span length to be the dominant factor influencing optimization outcomes. This research offers the first comprehensive evaluation of sinusoidal castellated beam design using a multi-criteria optimization strategy, providing actionable insights for structural engineers seeking efficient and stable design configurations.