In the ongoing debate about the impact of trade openness on environmental sustainability, a new study titled "Trade Openness and Carbon Emissions Using Threshold Approach: Evidence from Selected Asian Countries" offers fresh insights. This research explores the nuanced relationship between trade openness and carbon emissions, providing valuable evidence from a selection of Asian countries. By employing a threshold approach, the study aims to uncover the conditions under which trade openness can either exacerbate or mitigate carbon emissions.

Slurry-based absorption–adsorption enables efficient ethane recovery from natural gas, reducing energy use while ensuring high purity and recovery in CH₄/C₂H₆ separation.

Remote gas sensing in complex environments represents a critical frontier in environmental science. A team of Chinese scientists has developed a novel dual-comb spectroscopy system featuring single-photon detection, exceptional robustness, and broadband spectral analysis. This technology enables precise identification of gas compositions under harsh conditions with attowatt sensitivity, advancing global climate monitoring and pollution detection. It is poised to address urgent societal demands for sustainable and intelligent sensing solutions.

A research team indicates that treatments with ethylene and 1-methylcyclopropene (1-MCP), especially in combination, dramatically inhibit postharvest sprouting, enhance flavor and color, and extend shelf life.

Researchers have developed a transparent solar concentrator that can be directly coated onto architectural glass, enabling colorless and unidirectional solar energy collection. This new design, based on cholesteric liquid crystal films with submicron periodic structures, offers high efficiency, wide-angle operation, and aesthetic compatibility with modern buildings—opening a path toward scalable, building-integrated photovoltaics for carbon emission reduction.

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to predict wheat yields with exceptional accuracy.

A research team has developed Spotibot, a deep learning–powered application available on both web and mobile platforms, designed to automatically detect and measure Botrytis lesions on rose petals.

A research team introduces the In-Media Plant PET Root Imaging System (IMP²RIS), a novel tool that enables real-time, non-invasive, three-dimensional imaging of symbiotic nitrogen fixation (SNF) in soybean roots grown in soil-like media.