Modeling and long-term forecasting of CO2 emissions in Asia: An optimized Artificial Neural Network approach with consideration of renewable energy scenarios

Carbon dioxide (CO2) is one of the most important greenhouse gases (GHGs) that possess a significant role in environmental concerns like climate change and global warming.Understanding and forecasting the future trends of CO2 emissions is crucial for developing effective strategies to mitigate their impact on the environment and achieving global ag

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Solutions to Fractional q-Kinetic Equations Involving Quantum Extensions of Generalized Hyper Mittag-Leffler Functions

This manuscript focuses on new generalizations of q-Mittag-Leffler functions, called generalized hyper q-Mittag-Leffler functions, and discusses their regions of convergence and various fractional q operators.Moreover, the solutions to POWER MIX REPAIR the q-fractional kinetic equations in terms of the investigated generalized hyper q-Mittag-Leffle

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Safety and Efficacy of Intracoronary Vasodilators in the Treatment of No-Reflow after Primary Percutaneous Intervention in Patients with Acute ST-Elevation Myocardial Infarction: A Literature Review

Introduction: The investigation of no-reflow phenomenon after Percutaneous Coronary Intervention (PCI) in patients with acute ST-segment Elevation Myocardial Infarction (STEMI) has therapeutic implications.Several vasodilators were administered Wasserführende Bürste through intracoronary injection to treat this phenomenon.We aimed to elucidate th

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