In a recent study published in Engineering, researchers have developed a hybrid keratin and liquid metal hydrogel. This innovative material shows promise in creating wearable electronics for monitoring the health of marine inhabitants, addressing limitations of traditional hydrogels in mechanical and conductive properties.

A new study published in Engineering has identified enolase 2 (ENO2) as a key factor in the lymphatic metastasis of head and neck squamous cell carcinoma (HNSCC). The research reveals how ENO2 and its metabolite phosphoenolpyruvate (PEP) promote cancer cell invasion and macrophage polarization, and shows that inhibiting ENO2 can potentially slow down HNSCC metastasis.

A study in Engineering reveals a new adsorbent made by combining cationic surfactants with montmorillonite. This adsorbent can selectively remove perchlorate from water, addressing a key issue in drinking water safety. It shows high selectivity, fast adsorption, and good stability, with potential for water treatment applications.

In order to address the challenges in contemporary global politics, economy, and research, there is an urgent need for the complete redesign of the human education system, centered on innovation, enhancing human well-being and sustainable development. Using empirical data from reputable international organizations, such as the United Nations Educational, Scientific and Cultural Organization (UNESCO), this study analyzes the uncertainties confronting world development and how the education system can be redesigned with these challenges in mind.

  In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking study led by Hongbin Ma from the National Key Lab of Autonomous Intelligent Unmanned Systems at the School of Automation, Beijing Institute of Technology, introduces a pioneering approach that combines Long Range (LoRa) technology with distributed machine learning to optimize network connectivity for green and intelligent transportation systems.

In March 2025, an English academic journal "Safety Emergency Science" was officially launched.

Quasi-particles are collective quantum elements of condensed matter. They are foundationally important for understanding physics of materials and for technological applications of semiconductors. Using ultrafast optical pump-probe technique, scientists discovered a series of new spectral features that are not attributable to existing quasi-particles. By using advanced quantum many-body theories, these spectral features could be uniquely explained by the existence of a new quasi-particle called quadruplon, a genuine four-body composite particle, different from the known bi-exciton.

Cancer remains a leading cause of death globally, with lung cancer being particularly lethal. Despite advancements in diagnostics and therapies, the five-year survival rates for advanced tumors have seen minimal improvement, largely due to therapeutic resistance. This resistance can be genetic or nongenetic, with the latter being less understood but increasingly recognized for its role in treatment failure. Non-genetic resistance is associated with resistant cancer cells that have innate or acquired drug resistance traits. These cells are often found in heterogeneous tumors and include cancer stem-like cells (CSCs), cells undergoing epithelial-to-mesenchymal transition (EMT), partial EMT cells, and drug-tolerant persisters (DTPs). NOTCH signaling plays a crucial role in tumorigenesis and therapeutic resistance, with its activation linked to drug resistance in various cancers.

This study demonstrates that the activities of soil extracellular enzymes were significantly altered in the alpine meadow, but not significantly in the swamp meadow, which coincided with the SOC content of these grasslands.

 Research team proposed DeepSwarm, a collective deep learning framework integrating swarm intelligence for bidirectional optimization of data acquisition and processing. It improves accuracy and resource efficiency in IoT scenarios, showing significant results in video analysis and federated learning.