Better on Average? Average Inflation Targeting With an Unclear Averaging Window
ABSTRACT Average inflation targeting (AIT) aims to stabilize inflation expectations by offsetting past deviations from target. However, ambiguity about the averaging window can complicate expectations formation and reduce policy effectiveness. This paper integrates AIT into a benchmark DSGE model, incorporating adaptive learning and a signal extraction
James Dean
wiley +1 more source
Freeze-and-Release Direct Optimization Method for Variational Calculations of Excited Electronic States. [PDF]
Schmerwitz YLA, Selenius E, Levi G.
europepmc +1 more source
A Context‐Aware Decision Support Framework for Scientific Experiment Configuration
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri +3 more
wiley +1 more source
Constructing and characterizing trillion-scale combinatorial chemical library. [PDF]
Su J, Song FV, Huang D, Liao M.
europepmc +1 more source
From Particle to Purpose: A Systems‐Theoretical Model of Unity and Coherent Adaptation
ABSTRACT This paper develops a conceptual integration that bridges classical systems theories with insights from the Islamic intellectual tradition, focusing on the notion of zerre (particle) as articulated by Said Nursî. We reinterpret zerre as a systems‐theoretical agent that exhibits lawful responsiveness without autonomy, offering a new lens on how
Erhan Atay
wiley +1 more source
A Hybrid Inverse Kinematics Framework for Biomimetic Redundancy Resolution in 7-DoF Humanoid Arms. [PDF]
Shi Y +5 more
europepmc +1 more source
ABSTRACT Mission Engineering is maturing as a Systems Engineering discipline, yet adoption of its common frameworks remains stratified. This study examines whether selective adoption is observable across ME scholarship and develops a framework to address identified barriers.
James Moreland +4 more
wiley +1 more source
Micro‐Mechanism Informed Neural Networks for Process‐Property Prediction in Laser Powder Bed Fusion
Hard physics embedding, where neural networks learn residuals relative to analytical baselines, substantially outperforms soft loss‐function constraints for extrapolation in LPBF process–property prediction. Physics integration architecture determines generalization capability more than constraint quantity.
Yo‐Lun Yang
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang +6 more
wiley +1 more source

