Results 81 to 90 of about 657 (192)
Monogamy of temporal correlations: Witnessing non-Markovianity beyond data processing
The modeling of natural phenomena via a Markov process—a process for which the future is independent of the past, given the present—is ubiquitous in many fields of science.
Matheus Capela +3 more
doaj +1 more source
Abstract As students learn and practice new skills in university courses, their behaviour can change in response to competing demands and increasing content complexity. However, most metrics used to evaluate study behaviour focus on the number or sequence of activities rather than on the change of behaviour.
Oleksandra Poquet +2 more
wiley +1 more source
Edge‐preserving noise for diffusion models
Abstract Classical diffusion models typically rely on isotropic Gaussian noise, treating all regions uniformly and overlooking structural information important for high‐quality generation. We introduce an edge‐preserving diffusion process that generalizes isotropic models via a hybrid noise scheme with an edge‐aware scheduler that smoothly transitions ...
Jente Vandersanden +3 more
wiley +1 more source
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Abstract Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet and the ground provide crucial insights for understanding and reconstructing human movement. Recent advances in wearable insole devices offer a compelling solution for
J. L. Ponton +5 more
wiley +1 more source
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
ABSTRACT Recent theoretical work shows that the potential of genetic selection to reduce the prevalence of infectious diseases is much larger than expected from classical quantitative genetic theory, due to indirect genetic effects that arise in the transmission process. However, to fully benefit from these indirect effects, we need to estimate genetic
A. D. Hulst +4 more
wiley +1 more source
Non-Markovian Quantum Mpemba Effect
Since its rediscovery in the twentieth century, the Mpemba effect, where a far-from-equilibrium state may relax faster than a state closer to equilibrium, has been extensively studied in classical systems and has recently received attention in quantum systems.
David J. Strachan +2 more
openaire +3 more sources
The study of information revivals, witnessing the violation of certain data-processing inequalities, has provided an important paradigm in the study of non-Markovian quantum stochastic processes.
Francesco Buscemi +7 more
doaj +1 more source
A Unified Approach to Estimating Production Functions: Proxy Variables and Dynamic Panel Data
ABSTRACT We propose a new approach to production function estimation that integrates the strengths of the proxy‐variable (PV) and dynamic panel data (DPD) methods. Our framework augments the set of instruments for the level equation in Blundell and Bond [8] with a Berkson‐type instrument motivated by economic theory, following Olley and Pakes [28 ...
Jose Miguel Abito +1 more
wiley +1 more source
Dynamic capital allocation in general insurance
Abstract This paper provides a model for allocating capital to different insurance lines with varying development periods for a value‐maximizing insurance company. In our model, the company makes capitalization and exposure decisions considering its capital level and its relevant loss history.
Qiheng Guo +2 more
wiley +1 more source

