Results 81 to 90 of about 1,924 (223)
A new nonlinear control law for a class of nonlinear systems with disturbance is proposed. A control law is designed by transforming control Lyapunov function (CLF) to input-to-state stability control Lyapunov function (ISS-CLF).
Keizo Okano +2 more
doaj +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Rural Labor Supply and Economic Opportunities: Commuting, Migration, Tariffs, and Immigration
ABSTRACT Some rural counties remain dependent on agricultural or manufacturing jobs, but an increasing proportion have diversified economics. Rural counties also differ in their abilities to commute to an urban market characterized by higher wages and labor productivity.
Peter F. Orazem, Mary C. Ahearn
wiley +1 more source
Sensor Fault Detection for LPV Systems Using Interval Observers
This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded.
Jorge Yusef Colin-Castillo +6 more
doaj +1 more source
Delaying the Inevitable? U.S. Screwworm Closures and Feeder Cattle Market Dynamics
ABSTRACT Biosecurity trade restrictions are commonly framed as preventive measures, yet in many settings they function primarily as policies of delay: they impose immediate market costs while only postponing the arrival of biological risks. This paper evaluates that intertemporal tradeoff using the 2024–2025 US suspension of live cattle imports from ...
Shelby Sumner +3 more
wiley +1 more source
Value of Information of Improved Traceability in Fresh Produce Markets
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris +2 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
This paper proposes an unified predictor-based sliding-mode control (SMC) architecture tolerant to sensor bias for nonlinear input-delayed systems. The approach integrates predictor feedback for delay compensation and an unknown-input observer (UIO) for ...
Adel Tellili +4 more
doaj +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source

