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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Controllability and Observability Conditions for Impulsive DAEs on Time Scales
(John Wiley and Sons Ltd, 2026) Younus, Awais; Dastgeer, Zoubia; Abdeljawad, Thabet; Louafi, Meriem
This paper establishes criteria for controllability and observability in a class of linear time-invariant impulsive differential-algebraicequations (DAEs) defined on a time scale. Controllability is defined as the ability to transfer the system state from any initialcondition to any desired state within a finite time interval using an appropriate control input. Observability is characterized asthe ability to uniquely determine the initial state from output measurements over a finite time interval. The main contributionsare the derivation of necessary and sufficient conditions for both state controllability and state observability. These conditions areformulated in terms of rank-based tests and the properties of Gramian matrices, which are constructed using the Drazin inverseto handle the system’s algebraic constraints and impulsive dynamics. The theoretical results are validated by solving a illustrativecontrollability and observability problem, demonstrating the efficacy of the proposed approach.
Asphalt Pavement Resilience Under Wildfire: An Experimental Observation and Numerical Analysis
(Taylor and Francis Ltd., 2026) Çalış, Metehan; Apak, Mustafa Yurdabal; Kara, Ahmet Fazıl; Yumrutaş, Halil İbrahim; Abdirahman, Isxaq Osman
Asphalt pavements are critical infrastructure components duringwildfires, ensuring evacuation, emergency response, and accessto essential services. Understanding asphalt deterioration underextreme heat is therefore vital. This study examines the thermal andmechanical responses of asphalt pavements subjected to wildfire-induced temperatures, focusing on structural and service perfor-mance. An integrated experimental/computational framework wasdeveloped to assess the wildfire resilience of three hot mix asphalt(HMA) types: conventional, boron-surrogated and wood sawdust-surrogated mixtures. Mechanical behaviour was evaluated throughMarshall stability and flow tests after controlled thermal exposure.Transient thermal conductivity measurements and finite elementsimulations were conducted to analyse heat transfer, while skid resis-tance and scanning electron microscopy tests assessed surface tex-ture, microstructure, and bitumen-aggregate interactions. Resultsindicate that wildfire exposure severely affects the upper 10 cmof pavement. Wood sawdust surrogated mixtures improved post-fire performance, highlighting the potential of sustainable, low-costmaterials for wildfire-resilient pavement design.
Fractional-Order Delayed Epidemic Models in Memory-Based Probabilistic Controlled Metric Spaces via Fixed Point Theory
(Etamaths Publishing, 2026) Khan, Mahmood Akhtar; Shoaib, Abdullah; Abdeljawad, Thabet; Mukheimer, Aiman
We introduce memory-based probabilistic controlled metric spaces and establish a non-Markovian contraction principle that extends the Banach fixed point theorem by depending on a finite number of previous iterates. This framework is suited for systems with delay, hereditary effects, and fractional dynamics. We prove unique existence and convergence of Picard iterations under memory-based probabilistic contractions. As an application, we analyze a fractional-order delayed epidemic model with memory and incubation effects, showing convergence to a unique equilibrium. These results provide a unified tool for fractional epidemic dynamics with delay and memory.
The Relationship Between Body Composition, Anthropometric Measures and Cardiovascular Risk Factors Among Children Aged 10–13 Years in Jenin and Tubas, Palestine: A Cross-Sectional Study
(Springer Science and Business Media Deutschland GmbH, 2026) Fashafsheh, Nawras; Fashafsheh, Imad; Miqdadi, Ahmad I.; Alhadidi, Majdi; Elhaty, Ismail A.
Background: Obesity is an intricate, multifaceted condition affected by the interaction of genetic, environmental, and behavioral influences. It represents a significant public health issue, leading to a range of social, physical, and psychological consequences. The objective of this study is to examine the correlation between body composition, anthropometric measurements, and cardiovascular disease (CVD) risk among 10–13 years old children. Design and Methods: This study utilized a cross-sectional design, using a convenience sample of 509 students, 10–13 years old from four public schools in Palestine. Results: This study involved 509 children aged 10–13, with age groups evenly represented. Among males, 12% were overweight and 9.5% obese; among females, 11.6% were overweight and 3.7% obese. Physical inactivity was more common in females (28.9%) than males (13.5%). A weak but significant association was found between weight, waist and hip circumference, waist-to-height ratio, BMI, and both SBP and DBP (P < 0.05). Linear regression confirmed BMI as a significant predictor of SBP and DBP (P < 0.05). Conclusion: This study highlights the increasing prevalence of O&O among 10–13 years old children in public schools, with a higher incidence observed in boys compared to girls. Furthermore, BMI was found to have the strongest correlation with CVD risk compared to other anthropometric measurements.
Digital and Nature-Based Innovations for Climate-Resilient Urban Infrastructure: Smart Technologies and Sustainable Design
(IGI Global, 2026) Kariveliparambil Mohammed Ashraf, Ashifa; Vettriselvan, R. V.; Khunga, Vijay Singh; Venkatesan, Savitha; Ranganathan, Sripriya
The challenges of climate change, rapid urbanisation and environmental degradation are increasing the risks on the urban infrastructure systems, and changes beyond the traditional civil engineering practices are necessary. This chapter examines how the integrating digital innovations with the nature-based solutions can enhance climate-resilient urban infrastructure as a whole. Through an analytical and application-oriented perspective, this chapter demonstrates how smart technologies such as digital twins, artificial intelligence, and real-time monitoring strengthen the performance, measurability, and adaptive management of nature-based solutions. The chapter creates a system as a whole linking technology, ecology and governance and makes the spaces of application and policy implications, recommending possibilities of having resilient, sustainable and inclusive developments of urban infrastructure.