Invisible forces, tangible effects: optical torques
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Nov-2025 23:11 ET (23-Nov-2025 04:11 GMT/UTC)
A new tool called SCIGEN allows researchers to implement design rules that AI models must follow when generating new materials. The advance could speed the development of materials that enable technological breakthroughs.
For brain tumors, radiology reports provide essential imaging perspectives while pathology reports deliver microscopic confirmation, but each type of report typically requires domain experts to interpret separately. This separation can make it difficult to form a consistent basis for diagnosis and to reliably link findings to patient survival. Leveraging the integrative capabilities of large language models (LLMs), both sources can now be analyzed within a unified framework, reducing fragmentation and improving the accuracy of diagnostic classification and survival prediction.
To address this, a team led by Dr. Zhuoqi Ma (1st author) and Dr. Zhicheng Jiao (corresponding) from the Department of Radiology at Brown University and Brown University Health developed a large language model (LLM)-based pipeline that integrates radiology and pathology reports within a unified framework. By leveraging the integrative capabilities of LLMs, both sources can be analyzed together and improving the accuracy of diagnostic classification and survival prediction. Their findings demonstrate the potential of this approach to enhance diagnostic reliability and support precision neuro-oncology.
The conclusions of the report "Bases científicas para un Plan Nacional de Ozono" [Scientific Bases for a National Ozone Plan], published by the Sub-Directorate General for Pollution Prevention of the Ministry for the Ecological Transition and the Demographic Challenge, indicate that it is essential, before 2030, to achieve objectives such as a 60% reduction in nitrogen oxide (NOx) emissions from road traffic compared to 2019; a 20% decrease in the same emissions from maritime transport; and the frequent monitoring of industrial facilities that account for a high percentage of total ozone precursor emissions.
Tropospheric ozone is found in the lower layers of the atmosphere and can have harmful effects on both human health and ecosystems, especially forests and agricultural yields. It is a secondary pollutant generated through photochemical reactions (in the presence of sunlight) from other primary pollutants, known as “precursors”, which are mainly nitrogen oxides and volatile organic compounds (VOCs). Its main sources include road, maritime, and air traffic, as well as industrial activities.
In the preliminary study that served as the basis for the report, the scientific staff who prepared it stressed that during the period prior to the pandemic there was systematic non-compliance across almost all Spanish regions with the guideline values of the World Health Organisation and the standards of the 2008 European Directive, an issue made even more critical by the publication in 2024 of a new directive with stricter targets. The decline in levels during the pandemic suggests that there is room for action to improve ozone levels in Spain.
Every season, scientists from the Institute of Science and Technology Austria (ISTA) go on field trips to the Pyrenees. Their mission: gather snapdragon flowers to understand their genetic makeup. In a recently published study in Molecular Ecology, they show how nature uses color genes to keep two varieties of snapdragons distinct, even when they share the same habitat.
“Trust in science is collapsing”—that’s the alarm we often hear. It’s not surprising, then, that recent years have seen major efforts to study the phenomenon and its dynamics in the general population. Far less attention, however, has been paid to the information professionals—journalists—who play a crucial bridging role between the world of scientific research and the public. A new paper in the Journal of Science Communication (JCOM) by a research group at the Institute for Technology Assessment and Systems Analysis (ITAS) of the Karlsruhe Institute of Technology (KIT), Germany, gives voice to journalists in three countries—Germany, Italy, and Lithuania—each representing a different media ecosystem.
The picture that emerges is far more fragmented and nuanced—and, above all, strongly context-dependent—than the common narrative would suggest. The journalists described themselves as being in constant negotiation with their audiences, calling themselves “knowledge brokers.” They also stressed that, in today’s science journalism, fact-checking and accuracy must be coupled with political, social, and emotional dimensions and with audience expectations, and they highlighted the need for new co-creative media formats.