Results 101 to 110 of about 758 (209)
Abstract Switzerland's federal structure offers a unique context to examine how cantonal integration policies shape citizens' perceptions of migrants. While research has linked integration policies and citizens' attitudes, it often neglects subnational variation.
Cristina El Khoury
wiley +1 more source
Does Global Value Chain Participation Matter for Economic Upgrading? A Nonlinear Insight
ABSTRACT In recent decades, global value chains (GVCs) have come to dominate much of world trade. Participation in GVCs is widely regarded as a key driver of development by enabling countries to climb the value‐added ladder. However, tighter governance structures within GVCs can make these benefits uncertain.
Tao Zou
wiley +1 more source
Accurate flight training trajectory prediction is a key task in automatic flight maneuver evaluation and flight operations quality assurance (FOQA), which is crucial for pilot training and aviation safety management. The task is extremely challenging due
Jing Lu, Jingjun Jiang, Yidan Bai
doaj +1 more source
KoopCast: Trajectory Forecasting via Koopman Operators
We present KoopCast, a lightweight yet efficient model for trajectory forecasting in general dynamic environments. Our approach leverages Koopman operator theory, which enables a linear representation of nonlinear dynamics by lifting trajectories into a higher-dimensional space.
Lee, Jungjin +4 more
openaire +2 more sources
Abstract This study investigated whether performing a translatable murine model of concurrent training after tumour induction affects adaptations in juvenile male and female tumour‐bearing mice. Male and female Balb/c mice were injected bilaterally with colon‐26 adenocarcinoma (C26) cells or PBS at 8 weeks of age.
Stavroula Tsitkanou +10 more
wiley +1 more source
Accurately finding and predicting dynamics based on the observational data with noise perturbations is of paramount significance but still a major challenge presently.
Jingdong Zhang, Qunxi Zhu, Wei Lin
doaj +1 more source
Tensor network approximation of Koopman operators
We propose a tensor network framework for approximating the evolution of observables of measure-preserving ergodic systems. Our approach is based on a spectrally-convergent approximation of the skew-adjoint Koopman generator by a diagonalizable, skew-adjoint operator $W_τ$ that acts on a reproducing kernel Hilbert space $\mathcal H_τ$ with coalgebra ...
Giannakis, Dimitrios +5 more
openaire +2 more sources
Mathematical model of the zebrafish ventricular cardiomyocyte action potential and calcium transient
Abstract figure legend This study presents the development and validation of the first biophysically detailed computational model of the zebrafish ventricular action potential (AP). The model is based on a human cardiomyocyte framework and reparameterized using published and newly generated patch‐clamp recordings of zebrafish ionic currents.
Ludovica Cestariolo +5 more
wiley +1 more source
Transfer operators on graphs: spectral clustering and beyond
Graphs and networks play an important role in modeling and analyzing complex interconnected systems such as transportation networks, integrated circuits, power grids, citation graphs, and biological and artificial neural networks.
Stefan Klus, Maia Trower
doaj +1 more source
Deep Koopman Operator-based degradation modelling
With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion for reliable health indicators is their capability to discern a degradation trend. However, trending
Sergei Garmaev, Olga Fink
openaire +2 more sources

