A new era for green and intelligent transportation: LoRa meets distributed machine learning
Peer-Reviewed Publication
Updates every hour. Last Updated: 20-Sep-2025 20:11 ET (21-Sep-2025 00:11 GMT/UTC)
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.
Key findings
• Sarcoidosis patients are prone to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, increased severity, morbidity and greater mortality of coronavirus disease 2019 (COVID-19).
What is known and what is new?
• Subjects with sarcoidosis are more vulnerable to SARS-CoV-2 infection.
• Severity of COVID-19 was also more serious in subjects stricken with sarcoidosis.
What is the implication, and what should change now?
• Vaccination against SARS-CoV-2 for sarcoidosis may be a compulsory measure.