Results 211 to 220 of about 6,773,965 (316)
Ethical Precision in Nanoscale Brain Interfacing
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Human centric hybrid modeling of circular waste systems for urban transitions. [PDF]
Anitha R, Parthiban A.
europepmc +1 more source
Systems Modelling for Energy Policy [PDF]
openaire +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Oral Cholera Vaccines as Transmission-Interrupting Tools for Cholera Control: A Narrative Review. [PDF]
Bateyi Mustafa SH +3 more
europepmc +1 more source
Report on policy audit with model policies
Report on policy audit with model ...
openaire +1 more source
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Asynchronous Cross-Modal Dynamic Graph Learning for Intelligent Sensing of AI Computing Infrastructure Expansion. [PDF]
Xiang Z +6 more
europepmc +1 more source
Depression is increasingly recognized as a risk factor for chronic diseases, yet its biological impact on cancer remains unclear. Using data from more than 490 000 participants across three international cohorts, we show that depression significantly increases the risk of liver cancer.
Ruijiang Zeng +10 more
wiley +1 more source

