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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Examination of an Analogous Hybrid-Type Fractional Differential Problem Under Nonsingular Kernel
(World Scientific, 2026) Sher, Muhammad; Shah, Kamal; Sarwar, Muhammad; Hleili, Manel; Abdalla, Bahaaeldin; Abdeljawad, Thabet; Alqudah, Manar A.
A class of hybrid fractional diﬀerential equations is the subject of the current investigation.Diﬀerential operator with Mittag-Leﬄer-type kernel is used. Proportional delay, a crucial com-ponent in electrodynamics and infectious illnesses, is included in the problem. Several factors,including qualitative analyses, Ulam–Hyer-type stability, and a general numerical scheme, havebeen taken into consideration for the suggested problem. We used functional analysis concepts,in particular the theory of ﬁxed points, to general analysis. Lagrange’s interpolation approach,an existence methodology, has been used to study numerical aspect of the considered model.By using the adopted results, an example is studied at the conclusion to support the proposedtheory.
Aquatic Waste Valorization: Innovative Approaches and Sustainable Strategies
(Elsevier, 2026) Maqsood, Sammra; Arshad, Muhammad Tayyab; Khalid, Waseem; Suleman, Sardar; Mzoughi, Mondher; Sağlam, Kübra
Pharmaceutical, food, cosmetic, and biomedical corporations are merely a few that would highly benefit from the bioactive composites in aquatic waste, which has been wasted until now despite its magnitude. There has been a widespread investigation into proteins, lipids, bioactive peptides, chitin, chitosan, enzymes, vitamins, and minerals, but very little research has been conducted on other bioactive composites. Polyphenols, flavonoids, pigments, carotenoids, sea toxins, nucleotides, nucleosides, peptidoglycans, glycoproteins, and mycosporine-like amino acids are just some of the bioactive composites deliberated in this chapter that are obtained from marine waste. Aside from its antioxidant, antiinflammatory, immunomodulatory, and antibacterial actions, these composites exhibit a widespread range of biological activities. Novel techniques to gain bioactive composites with minimal damaging effects on the environment are inspected, such as enzyme-assisted, ultrasound-assisted, and supercritical fluid extraction, all of which are ecologically friendly and sustainable. Additionally, this chapter examines the concept of biorefinery models for the valorization of these molecules, ensuring both economic feasibility and ecological sustainability. Regulatory barricades, commercialization occasions, and innovative applications in functional foodstuffs, nutraceuticals, and pharmaceuticals are particular to the future opportunities and challenges of using these bioactive compounds. This chapter highlights the advantages of a circular economy method in converting aquatic waste into well-intentioned bioactive products, which can then contribute to industrial innovation and ecological sustainability.
Κ -Fractional Calculus Operators and Solution of Fractional Kinetic Equations Involving the Multivariate Κ -Mittag-Leffler Matrix Functions
(World Scientific, 2026) Abdullah Qadha, Muneera ; Abdullah Qadha, Sarah ; Abdeljawad, Thabet
In this paper, a matrix analogue of a new generalization of multivariate κ-Mittag-Leffler (M-L) function is introduced. The differential and integral formulas and the κ-fractional calculus operator for the generalized multivariate κ-M-L matrix function are obtained. The κ-Beta and Mellin transforms are presented for the generalized multivariate κ-M-L matrix function. Finally, the solution of the fractional kinetic equation involving the new multivariate κ-M-L matrix function is provided as an application.
Gendered Environmental Injustice in Informal Recycling Systems: Health Vulnerability Among Women Waste Pickers
(Frontiers Media SA, 2026) Kariveliparambil Mohammed Ashraf, Ashifa; Rasi, R. A.; Varghese, Neethu; Babu, Jobi; Saravanan, K.; Mohan, Visakh K.; Ranganathan, Maharishi
Introduction: Informal waste pickers play a vital, yet often unrecognized, role in urban recycling systems, contributing significantly to waste recovery and environmental sustainability. Although women waste pickers perform critical environmental functions, they face various occupational and social vulnerabilities. Women waste pickers in the informal recycling sector experience various health vulnerabilities shaped by occupational exposure, social exclusion, and limited access to welfare support. This study advances existing research by providing an integrated empirical analysis of the occupational, social, and institutional determinants of health vulnerability among women waste pickers. Methods: A cross-sectional survey was conducted among 427 women waste pickers engaged in informal recycling activities in Tamil Nadu, India. Data on occupational exposure, social exclusion, social welfare support, and perceived health vulnerability were collected using structured questionnaires. Descriptive statistics were used to characterize the sample. Ordinal logistic regression was performed to examine the levels of health vulnerability and identify associated factors. Results: The findings revealed that occupational exposure was significantly associated with a greater likelihood of experiencing higher health vulnerability. Women who reported more contact with hazardous waste were significantly associated, indicating that social marginalization and limited access to social resources are linked to higher reported health risks among waste pickers. In contrast, welfare support was associated with lower levels of severe health vulnerability. The findings suggest that health outcomes are associated with interconnected environmental, social, and institutional conditions in informal waste economies. Discussion: This study underscores the gendered nature of environmental injustice in informal recycling systems. Addressing the health vulnerability of women waste pickers requires integrated policy interventions that combine measures for occupational safety, social protection programs, and inclusive waste governance that promote worker wellbeing and sustainable urban waste management.
Application of Neural Network Analysis to Study Thermally Stratified Hybrid Nanofluid Over a Variable Thickness Sheet
(Springer Science and Business Media B.V., 2026) Zeb, Hussan; Jeelani, Mdi Begum; Shah, Kamal; Ali, Zeeshan; Alqudah, Manar A.; Mukheimer, Aiman; Abdeljawad, Thabet
Enhancing the efficiency of thermal systems requires advanced working fluids with superior heat transfer characteristics. In this study, we investigate the thermally stratified magnetohydrodynamic (MHD) flow of a TiO2–Fe3O4/H2O hybrid nanofluid over a nonlinear stretching sheet with variable thickness. The model incorporates temperature-dependent viscosity and thermal conductivity, thermal radiation, internal heat generation, and a non-Fourier heat flux based on the Cattaneo– Christov theory. The governing partial differential equations are transformed into a system of coupled nonlinear ordinary differential equations using appropriate similarity transformations. These equations are solved numerically using a shooting method combined with a Runge–Kutta scheme. Moreover, an artificial neural network (ANN) model is created based on the Levenberg–Marquardt algorithm to estimate velocity and temperature profiles as a surrogate model. ANN performance is measured by statistical measures of error such as mean squared error (MSE), root-mean-square error (RMSE) and regression coefficient (R), and it is found that they are in excellent agreement with the numerical results. Parametric study indicates that an increase in the magnetic parameter (M) decreases the velocity of the object considerably because of the Lorentz force and increases the temperature field. Temperature decreases as Prandtl number (Pr) and thermal stratification parameter (St) increase, and this means that the thermal diffusion is lower. The heat transfer rate increases with radiation parameter (R) and convective parameter (B1). The results demonstrate that the hybrid nanofluid enhances heat transfer performance compared to single nanofluids, and the proposed ANN model provides an efficient predictive tool for complex nonlinear thermal systems.