In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl...
Marine oil spills cause severe damage to ocean ecosystems and coastal economies. Timely scheduling of oil spill emergency resources is crucial for effective emergency response. Addressing the challeng...
In modern manufacturing, artificial intelligence and data analytics techniques are frequently used and developed for various industrial applications. The final purpose of the smart-factory problem is ...
In recent years, automatic text summarization has witnessed significantadvancement, particularly with the development of transformer-based models.However, the challenge of controlling the readability ...
Background This integrative assessment delineates present and projected hotspots for four dominant tick species in the Beijing-Tianjin-Hebei (BTH) region, providing a spatial basis for targeted survei...
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...
Modeling air quality concentration plays a crucial role in predicting and mitigating airborne pollutant levels. This study collected and organized daily average air quality data and meteorological dat...
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. ...
Postnatal depression (PND) increases the risk of neurodevelopmental impairments in offspring, yet the underlying mechanisms remain elusive. Here, we identify an intergenerational signaling pathway whe...
Automatic Grammar Error Correction (GEC) is a classic NLP challenge that has been applied to language education, professional writing aid, and cross-lingual communication. Despite considerable progres...
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