Europe could completely replace fossil fuels in road transport
Reports and Proceedings
Updates every hour. Last Updated: 3-Apr-2026 18:16 ET (3-Apr-2026 22:16 GMT/UTC)
Solid materials for carbon capture can help reduce greenhouse gas emissions, but many existing systems remain energy-intensive and costly, because releasing captured carbon dioxide (CO2) typically requires high temperatures. Recently, researchers from Japan developed three kinds of 'viciazites', a new type of carbon-based material with precisely positioned nitrogen-containing functional groups. Through tight molecular control, these materials can release captured CO2 at temperatures as low as 60 °C, paving the way for efficient carbon capture.
As the world rapidly shifts towards renewable energy, the Sultanate of Oman is positioning itself as a key regional player, pursuing ambitious wind and green hydrogen projects. It benefits from its strategic location and unique desert climate which serves as an open natural laboratory for developing energy solutions in arid environments.
Global warming has severe impacts on plant growth and development, and XBAT31 controls the protein level of the thermosensor ELF3 to promote hypocotyl growth under warm temperature conditions. In the current study, researchers unveil MIEL1 as a stabilizer of XBAT31, suppressing its auto-ubiquitination independent of MIEL1’s canonical RING-domain activity, and act cooperatively to modulate hypocotyl elongation in response to warm temperature. This hierarchical interaction between two E3 ligases expands the paradigm of ubiquitin-mediated signaling in environmental adaptation.
Researchers from the Technion – Israel Institute of Technology, in collaboration with international partners, have developed an artificial intelligence (AI) model that predicts both the risk of breast cancer recurrence and the likelihood of benefit from chemotherapy using standard pathology slides. The study, published in The Lancet Oncology and presented at ESMO, is the first to validate such a model using data from a large randomized clinical trial (TAILORx).
The AI system analyzes high-resolution digital images of tumor tissue and identifies complex visual patterns linked to cancer behavior and treatment response. It generates a score within minutes, offering a fast, low-cost, and widely accessible alternative to genomic tests such as Oncotype DX, which are expensive and not globally available.
The model was validated on thousands of patients across multiple countries and healthcare systems, demonstrating consistent performance. By enabling more accurate treatment decisions, the approach could reduce unnecessary chemotherapy and expand access to personalized cancer care, particularly in low-resource settings.
Researchers are now working toward clinical implementation and further development, including expansion to additional cancer types and treatments.
Researchers have created a high-performance infrared detector that operates at room temperature without requiring external power or cooling. By growing high-quality lead sulfide films and using an asymmetric electrode design, the device achieves fast response and clear imaging, paving the way for affordable, compact infrared cameras in smartphones, automobiles, and security systems.