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...

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...

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...

Climate change is a prime threat to human health and the environment. Carbon dioxide (CO2) emissions play a pivotal role in global warming, the greenhouse gas effect, destroys the ecosystem. This impact of climate change can be prevented with the help of a solvent-based CO2 absorption process. In...

Weather forecasting is an essential but complex task because of its substantial influence on human life and advanced atmospheric dynamics. In recent years, deep learning-based techniques have gain high attention for weather forecasting. Nevertheless, current forecasting models ignore the...

Climate change significantly threatens global ecosystems and human societies, necessitating innovative strategies for mitigation and adaptation. This study addresses the problem of increasing climate vulnerability by investigating the role of ecosystem-based adaptation (EbA) in enhancing resilience...

In this paper, the provincial panel data of china from the year 2006 to 2019 are used to analyze the association among environmental regulations, industrial structure od industries and low-carbon development. The results show that regional industrial CO2 emissions in China's east, center, and west...