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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Increasing Exercise Awareness in Individuals with Intellectual Disabilities Among Sports Science Students: An Educational Application
(KMAN Publication Inc., 2026) Yıldırım, Zeynep; Yönal, Mehmet; Yıldırım, Oğuzhan; Gökmen, Ünal Can; Bozkuş, Taner; Kurtuldu, Tansu
Objective: The primary aim of this research is to examine the awareness levels of students studying at the Faculty of Sports Sciences regarding the importance of exercise for individuals with intellectual disabilities and to contribute to developing this awareness. Considering the physical, psychological, and social benefits of exercise programmes for individuals with intellectual disabilities, increasing this awareness is crucial both for developing students' professional knowledge and skills and for contributing to the quality of life of individuals with intellectual disabilities.Methods:The ‘Attitude Scale Towards Sports Activities of Individuals with Intellectual Disabilities’ developed by İlhan and Esentürk (2015) was administered to 68 participants studying at the Faculty of Sports Sciences in order to collect pre-test data. In the next stage, participants underwent a 120-minute training programme covering the definitions of mental disability, the characteristics of individuals with mental disabilities, and the benefits of exercise. Participants who completed the training were paired one-on-one with individuals with intellectual disabilities and underwent a 240-minute exercise programme, which was carried out over 2 days, 120 minutes per day. After the exercise programme was completed, the same attitude scale was re-administered to the participants to collect final test data. The data obtained were transferred to IBM SPSS 26 software for analysis. When evaluating the study data, the Shapiro-Wilk and Kolmogorov-Smirnov tests were used to check the normality of the numerical measurements, and the dependent samples t-test was used to examine changes over time.Findings:The results of the study revealed a statistically significant increase in the participants' pre-test and post-test mean scores on the attitude scale and sub-dimension scores regarding the sporting activities of individuals with intellectual disabilities over time.Conclusion:The research is significant in terms of contributing to the development of positive attitudes towards individuals with intellectual disabilities by future sports educators and the training of more conscious and equipped sports scientists in this field.
Modeling Dengue-COVID-19 Co-Epidemics via Crossover Discrete Time Systems with Variable-Order Fractional Memory
(Universal Wiser Publisher, 400 Orchard Road, #06-05 Orchard Towers, Singapore 238875, SINGAPORE, 2026) Al-Mekhlafi, Seham M.; Boudaoui, Ahmed; Laksaci, Noura; Abdeljawad, Thabet; Abdalla, Bahaaeldin
This paper develops a comprehensive discrete-time mathematical framework to investigate the co-circulation dynamics of two dengue virus strains and COVID-19 by integrating integer-order modeling with advanced fractional and variable-order operators. We formulate four epidemiological models: a classical integer-order system, a fractional Caputo model with constant memory, and two novel crossover models in which the system transitions between fixed- and variable-order fractional operators to represent regime shifts in immunity, behavioral changes, and intervention strategies. This formulation captures nonlocal memory effects and provides a flexible mechanism to describe evolving epidemic phases. A rigorous analytical study is conducted, establishing positivity and boundedness of solutions and proving existence and uniqueness using Perov’s fixed-point theorem in a generalized Banach space. The basic reproduction number is derived via the next-generation matrix approach, and local stability of the disease-free equilibrium is characterized. Furthermore, we show that the proposed systems undergo a forward (supercritical) transcritical bifurcation as the basic reproduction number crosses unity. The developed fractional and variable-order models are also shown to satisfy Ulam-Hyers and Lyapunov stability properties. Extensive numerical simulations validate the theoretical findings and demonstrate the role of fractional memory, variable-order dynamics, and crossover transitions in shaping co-epidemic trajectories. The results highlight the importance of incorporating time-varying memory effects in modeling real-world dengue-COVID-19 interactions and provide a robust mathematical framework to support public health planning during co-epidemic scenarios.
On Multiplicative Fractional Operators of Hadamard and Katugampola Types in G-Calculus and Related Hermite–Hadamard Inequalities
(World Scientific, 2026) Lakhdari, Abdelghani; Alqudah, Manar A.; Jarad, Fahd; Budak, Hüseyin; Abdeljawad, Thabet
This paper explores the extension of classical fractional operators to the framework of G-calculus, a non-Newtonian calculus in which differentiation and integration are defined via multiplicative analogs of their classical counterparts. We begin by recalling key concepts from both fractional calculus and G-calculus. Next, we revisit the recently introduced multiplicative Riemann–Liouville fractional operators and extend the multiplicative Riemann–Liouville fractional derivative to arbitrary order α>0. Building on this foundation, we introduce multiplicative versions of the Hadamard and Katugampola fractional integrals and derivatives. Finally, we establish Hermite–Hadamard inequalities for both newly defined integrals.
AI-Driven Virtual Simulations for Understanding Insect Colonization Dynamics in Forensic Science
(Springer Nature, 2026) Shruti, K. M.; Srivastav, Satyam; Soni, Priyanka; Singh, Rajat; Behera, Nikhil Ranjan; Sati, Saurav; Karmakar, Rachan; Janeeshma, Edappayil; Fathi, Amin; Kumar, Sumit; Sağlam, Kübra; Thamarsha, A. K.A.N.W.M.R.K.; Sarkar, Tanmoy; Gunsola, Divya
Forensic entomology employs insects to estimate postmortem intervals (PMI), detect toxins, and trace corpse relocation. However, traditional methodologies are often plagued by inconsistencies, a shortage of experts, and time-consuming analyses. This chapter investigates the potential of artificial intelligence (AI)-driven pattern recognition to transform the study of insect colonization dynamics in forensic investigations. By incorporating machine learning (ML) and deep learning (DL) techniques such as convolutional neural networks (CNNs) for larval stage identification, elliptic Fourier transformations for wing outline analysis, and entomological radar for remote monitoring AI facilitates automated species classification, PMI prediction through degree-day models, and the simulation of succession patterns across various environments. Comparative analyses underscore AI’s superiority over manual morphological assessments, offering enhanced reproducibility, reduced bias, and expedited processing of extensive datasets. Case studies from Spain illustrate AI’s efficacy in resolving unsolved murders through the analysis of fragmentary evidence. Ethical challenges, including algorithmic bias and privacy concerns, are addressed alongside collaborative frameworks for integration with law enforcement. Future trends emphasize the development of expansive repositories, cross-disciplinary AI models, and virtual simulations for climate-adaptive PMI forecasting. Ultimately, AI enhances forensic entomology by improving accuracy, efficiency, and outcomes within the justice system, while bridging knowledge gaps in underrepresented regions.
On the Solution Structure of Sequential 𝝋-Hilfer FractionalDifferential Equations With p-Laplacian Operator
(John Wiley and Sons Ltd, 2026) Kaid, Mohammed; Melha, Khellaf Ould; Samei, Mohammad Esmael; Thabet, Sabri T. M.; Moulahi, Taoufik; Abdeljawad, Thabet
This work researches in a class of 𝜑-Hilfer 𝔽 𝔻𝔼s with p-Laplacian operator by evolving an appropriate analytical framework. Wedemonstrate the existence and uniqueness of solutions utilizing Banach's fixed-point theorem. Subsequently, an alternative theo-rem is applied to verify the existence of at least a single solution. In addition to the theoretical analysis, we provide demonstrativeexamples to confirm the development of the solution.