Pharmaceutical contaminants, such as Cefuroxime sodium, pose a significant threat to aquatic ecosystems due to their persistence and bioactivity. This study reports the synthesis of sustainable mesopo...
Antiferromagnets are emerging as a transformative platform for next-generation spintronics and information storage technologies, promising improved speed and energy efficiency. However, unlike in ferr...
The discovery of novel odorant molecules is key for the fragrance and flavor industries, yet efficiently navigating the vast chemical space to identify structures with desirable olfactory properties r...
Acute stroke lesions evolve rapidly, making it essential to model both temporal progression signals and anatomical constraints. DME-Net incorporates complementary temporal and spatial memory banks tha...
Timely and accurate electricity price forecasting is essential for the efficient operation of competitive electricity markets. However, predicting day-ahead electricity prices remains challenging due ...
Help-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated...
In recent years, automatic text summarization has witnessed significantadvancement, particularly with the development of transformer-based models.However, the challenge of controlling the readability ...
Groundwater regimes are key determinants influencing the outcome of peatland ecosystem restoration programmes. Despite widespread application, impacts of ditch blocking on water table levels (WTLs) re...
Among the various disruptions to landscape sustainability caused by the full-scale invasion of Ukraine, the war-related impacts on the supply of cultural ecosystem services (CES) remain understudied. ...
This work presents recent advancements in the Self-Aligned Focusing Schlieren (SAFS) technique for quantitative flow visualization and introduces HORUS, a predictive modeling tool developed to support...
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