Results 111 to 120 of about 97,491,236 (206)

Does Contract Farming Reduce Pesticide Use? Panel Data Evidence From Smallholder Farmers in China

Agribusiness, EarlyView.
ABSTRACT The inappropriate and excessive use of pesticides poses a major threat to human and ecosystem health in the agri‐food sector. While existing studies have examined the potential of contract farming to address this issue, most have focused on large‐scale farms and relied on small or transactional datasets, often leaving the role of crop‐specific
Zhihui Liang, Shan Jin, Matthew Gorton
wiley   +1 more source

Input-power-to-state stability of time-varying systems

When the state of a system may remain bounded even if both the input amplitude and energy are unbounded, then the state bounds given by the standard input-to-state stability (ISS) and integral-ISS (iISS) properties may provide no useful information. This
Russo, Antonio
core   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
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, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Input-to-state stability meets small-gain theory [PDF]

Input-to-state stability (ISS) unifies global asymptotic stability with respect to variations of initial conditions with robustness with respect to external disturbances.
Mironchenko, Andrii
core   +1 more source

Design and Implementation of a Reference Model-Based Disturbance Observer for Position Control of Electro-Hydraulic Servo Systems

IEEE Access
Electro-hydraulic servo systems are often subject to parameter uncertainties and external disturbances, which degrade position tracking accuracy and control robustness.
Lizhen Liu, Meizhen Liu, Lixin Wang, Qiang Li, Nur Syazreen Ahmad   +4 more
doaj   +1 more source

Notions of Input to Output Stability

, 1997
This paper deals with several related notions of output stability with respect to inputs (which may be thought of as disturbances). The main such notion is called input to output stability (ios), and it reduces to input to state stability (iss) when the
Yuan Wang, Eduardo Sontag
core  

Relation between Exponential Stability and Input-to-State Stability of Time-Delay Systems

, 2007
International audienceThe main contribution of this paper is to establish a link between the exponential stability of an unforced system and the Input-to-State Stability (ISS) via the Lyapunov- Krasovskii methodology.
Michel Dambrine, Yeganefar, Nader, Yeganefar, Nima, Nima Yeganefar, Dambrine, Michel, Nader Yeganefar   +5 more
core   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source