Predicting sequences of space target images is a highly complex spatiotemporal forecasting task with crucial applications in space resource management, space situational awareness, space operations, ...

The widespread use of polyfluoroalkyl substances (PFASs) threatens the ecosystem and human health, while their rapid multicomponent identification remains challenging. Here, for the first time, a ...

This study presents an advanced encoder-decoder dual attention convolutional long short-term memory (ConvLSTM) model designed to predict sea surface temperatures (SSTs) along the Moroccan coastline, a ...

Their findings were published in Nature. This achievement comes four decades after Nobel laureate Svante Pääbo first attempted to retrieve DNA from ancient Egyptian remains. Thanks to advancements in ...

We present an unusual type of electrostatic hydrogel based on anionic boron cluster compounds, which remain almost unexplored in the literature. Cationic PGEA–PEO–PGEA triblock copolymers coassembled ...