Due to the widespread use of fossil fuels, atmospheric levels of carbon dioxide (CO₂), a major contributor to climate change, have increased dramatically. Through the simulation of a two-dimensional (2D), bovine carbonic anhydrase (bCA)-mediated mechanism, this work presents a novel approach method...

In today's digital environment, energy is the most essential for human survival. Its combustion surfaces were coated with ceramics to achieve total adiabatic operation, also called a low heat rejection engine (LHR). One of the best techniques to lower NOx emissions in internal combustion engines is...

The standing plant biomass that remains after harvesting bananas is the Above Ground Biomass (AGB); these residues have great carbon sequestration (CS) potential. This study quantifies the AGB yield of the Poovan (Musa acuminata) plant in semi-arid Tamil Nadu, India through novel modified non...

Flooding in coastal regions of smart cities poses significant challenges, including infrastructure damage, economic losses, and threats to public safety. Traditional flood prediction models often suffer from data privacy concerns, limited spatial-temporal generalisation, and computational...

As global climate change and management challenges grow, the low-carbon transition has become crucial for the sustainable development of enterprises. This study investigates the economic impact of corporate low-carbon behavior on operational performance using panel data from 2008 to 2022 for...

The study aims at determination of the rainy season period and an analysis of rainfall variability in the upstream lower Mouhoun, a sub-catchment of the Mouhoun River in Burkina Faso during the period 1980-2020. Daily rainfall data from fourteen stations covering the period 1980-2020 were collected...

Heat stress is among the most devastating abiotic stresses responsible for the reduction of maize yield. Therefore, the application of zinc nanoparticles (ZnNPs) is considered one of the precise and sustainable practices to meet the nutritional and food security demands of the global population. In...

Climate change acceleration and intensifying global carbon reduction efforts have created an urgent need to understand how climate transition risks affect carbon emission efficiency in energy enterprises. Our study breaks new ground by developing climate risk indicators through machine learning and...

This study employs wavelet coherence, wavelet quantile correlation, and Granger causality tests to comprehensively investigate the dynamic correlation characteristics between the U.S.clean energies and the stock returns of seven systematically important banks (SIBs). The main findings are as follows...

As global climate change intensifies, with frequent extreme weather events, the stability of vegetation is severely threatened. This study (2002–2023) uses NDVI, temperature, and precipitation data, along with methods like pixel binary, trend analysis, and multiple regression residual analysis, to...

Investigating the spatiotemporal heterogeneity of livestock environmental efficiency and its decoupling effect is crucial for fostering the coordinated development of livestock economy and environmental sustainability. This study examines the spatiotemporal distribution, regional gaps, dynamic...

Exhaustion of fossil fuel resources, inconsistent fuel costs and the difficulty of adopting electric vehicle technology in commercial vehicles support the idea that there is an opportunity for research in public transit regarding the correlation between energy efficiency and aerodynamic drag. The...

The escalating levels of atmospheric CO2 have underscored the necessity for developing effective carbon capture and storage (CCS) technologies. This study investigates the advancements in post-combustion CO2 capture technologies, specifically examining the efficiency of amine-based absorption and...