With the rapid advancements in fifth-generation (5G) and sixth-generation (6G) technologies, along with aerospace innovations, satellite–terrestrial integrated networks (STINs) have garnered widespread attention.  A new comprehensive review in Engineering presents recent research on and developments in STIN technologies in 6G, such as topology maintenance, network routing, and orchestration transmission. Furthermore, it presents the latest developments in satellite networks, including platforms and simulators.

A research paper by scientists at Tianjin University introduces background electroencephalogram (EEG) mixing (BGMix), a novel data augmentation technique grounded in neural principles that enhances training samples by replacing background noise between different classes.

The new research paper, published on Oct. 07, 2025 in the journal Cyborg and Bionic Systems, introduced a novel EEG augmentation method and a new approach to designing deep learning models informed by the neural processes of EEG.

Discover how organoids are revolutionizing neurotrauma treatment. A new review in Engineering explores the construction and potential applications of spinal cord and peripheral nerve organoids for regenerative medicine. Learn about the latest advancements and challenges in this promising field.

Research shows that areas with 50% deforestation near residential areas or fragmented vegetation allow greater contact between mosquitoes and humans. Amid the discussions for COP30, the study helps us understand the link between forest destruction and the spread of the disease.

A recent study published in Engineering proposes a multi-scale crystal graph and its multi-head attention network to predict the gas adsorption performance of metal–organic frameworks. It is manifested that the network can mitigate traditional models’ limitations in periodicity adaptation and overfitting, enhance accuracy and interpretability, and offer a new high-throughput screening option.

A research paper by scientists at the Beijing Institute of Technology proposed a SnS₂-based in-sensor reservoir that offers an effective solution for detecting a variety of motion types at sensory terminals. By leveraging in-sensor reservoir computing, the device excels at classifying different motions across a wide velocity spectrum, providing a novel and promising method for motion recognition.

The new research paper, published on Sep. 30 in the journal Cyborg and Bionic Systems, presented an optoelectronic in-sensor RC device based on monolayer SnS₂ synthesized via the chemical vapor deposition (CVD) technique. This device demonstrates a notable correlation between its optic response and the duration of illumination, exhibiting excellent optical detection performance under short light illumination. Under long illumination, the sustained optic response can be used to simulate synaptic plasticity.

Bamboo, palm, and banana trees look and act like trees, but are actually closer to grasses in how they grow because—unlike trees—their stems do not grow wider over time. A new analysis by New York University scientists offers a clearer picture of these organisms, labeling them “grassy trees,” which combine the canopy structure of trees with the resilience of grasses—and can more easily adapt to and recover from extreme weather conditions than can trees.