Abstract Machine learning presents opportunities for tracking evidence on climate change
adaptation, including text-based methods from natural language processing. In theory, such …

Children and youth are vulnerable to the threat of climate change, yet potential non-health
impacts, such as those on global education outcomes, are not well understood. In this cross …

Vegetation greening has been suggested to be a dominant trend over recent decades, but
severe pulses of tree mortality in forests after droughts and heatwaves have also been …

China is now confronting the intertwined challenges of air pollution and climate change.
Given the high synergies between air pollution abatement and climate change mitigation …

Climate change refers to long-term alterations in climate patterns across various regions of
the world. As per the data availability and explanations given by different researchers …

Crop production is a large source of atmospheric ammonia (NH3), which poses risks to air
quality, human health and ecosystems,,,–. However, estimating global NH3 emissions from …

Electrified modular reactors have been gaining attention due to their potential in reducing
carbon emissions and meeting net-zero goals, where traditional reactors that burn fossil …

Proactive management of pumping stations using artificial intelligence (AI) technology is
vital for effectively mitigating the impacts of flood events caused by climate change. Accurate …

Cancer cells frequently develop resistance to chemotherapeutic therapies and targeted
drugs, which has been a significant challenge in cancer management. With the growing …

Purpose Debates regarding climate change risk perception (CCRP), particularly its scale
and impact on social and environmental sustainability, have continued for decades. CCRP …