Results 51 to 60 of about 174,626,138 (254)
Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
On the controlling of temperature: A proposal for a real-time controller in broiler houses
: Environmental conditions in broiler houses, specifically temperature, are key factors that should be controlled to ensure appropriate environment for broiler rearing.
Denise Trevisoli Detsch +3 more
doaj +1 more source
MODULATION OF NEUTROPHIL EXTRACELLULAR TRAPS (NETS) RELEASE BY CYCLIC NUCLEOTIDES STIMULATORS
Introduction: The release of neutrophil extracellular traps (NETs) is a key factor contributing to the severity of acute respiratory distress syndromes (ARDS).
J Oliveira +9 more
doaj +1 more source
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Background/aimsSince the degeneration of the nigrostriatal dopaminergic pathway in Parkinson's disease (PD) is associated with the inflammation process and decreased levels of cyclic nucleotides, inhibition of up-regulated cyclic nucleotide ...
Joanna Schwenkgrub +5 more
doaj +1 more source
What's Changed Bump maximal python version to 3.11 by @david-zwicker in https://github.com/zwicker-group/py-pde/pull/414 Fixed problems with MPI simulations by @david-zwicker in https://github.com/zwicker-group/py-pde/pull/415 Fixed bug in error ...
Diego Volpatto +7 more
core +1 more source
Accelerating High‐Fidelity Airfoil Design via Physics‐Informed Video Diffusion Model
Physics‐informed video diffusion enables rapid inverse aerodynamic design by mapping target lift‐to‐drag response to airfoil geometries and full‐field flow distributions. Trained on 53 400 DNS samples, the model achieves over 90% fidelity with ∼30 s inference, while experimentally realized propeller designs demonstrate a practical pathway from ...
Yifeng Ai +9 more
wiley +1 more source
Agricultural Intelligence: A Technical Review Within the Perception–Decision–Execution Framework
Artificial intelligence (AI) is transforming modern agriculture from experience-driven practices to data-driven production paradigms. To provide an in-depth analysis of AI technologies in intelligent agriculture, we retrieved literature from Web of ...
Shaode Yu +3 more
doaj +1 more source
Fast iterative solvers for PDE-constrained optimization problems [PDF]
In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
core +1 more source
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source

