An innovative meshless approach for solving 2D Allen-Cahn equations using the RBF-compact finite difference method. [PDF]
Fardi M, Azarnavid B, Emami H.
europepmc +1 more source
Reassessing Heidegger on Van Gogh: Artistic Experience as Contextual Displacement
Abstract This article offers a novel account of Heidegger's long‐debated discussion of a painting of shoes by Van Gogh in ‘The Origin of the Work of Art’. I argue that the Van Gogh episode is best understood as a carefully staged textual enactment of Heidegger's conception of artistic experience, properly construed.
Andrea Vitangeli
wiley +1 more source
Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks. [PDF]
Clark DG +3 more
europepmc +1 more source
Abstract Giant featherback (Chitala lopis) is an ancient species of freshwater fish considered globally extinct until extant populations were re‐discovered in the Sundaland region of Indonesia in 2022. To improve management of the remaining populations, this study used genomic DNA and landmark‐based geometric morphometric analyses of fish scales to ...
Boby Muslimin +23 more
wiley +1 more source
Bayesian machine learning enables discovery of risk factors for hepatosplenic multimorbidity related to schistosomiasis. [PDF]
Zhi YC +6 more
europepmc +1 more source
Evaluating integrative strategies for incorporating phenotypic features in spatial transcriptomics
Abstract The key advantage of spatial transcriptomics (ST) technologies lies in the spatial domain: these techniques not only offer an unprecedented opportunity to interrogate intact biological samples in a spatially informed manner, but also set the stage for integration with other imaging‐based modalities.
Levin M Moser +4 more
wiley +1 more source
Analytical and numerical solutions of MABC fractional advection dispersion models by utilizing the modified physics informed neural networks with impacts of fractional derivative. [PDF]
Az-Zo'bi EA +8 more
europepmc +1 more source
The Accuracy Smoothness Dilemma in Prediction: A Novel Multivariate M‐SSA Forecast Approach
ABSTRACT Forecasting presents a complex estimation challenge, as it involves balancing multiple, often conflicting, priorities and objectives. Conventional forecast optimization methods typically emphasize a single metric, such as minimizing the mean squared error (MSE), which may neglect other crucial aspects of predictive performance. To address this
Marc Wildi
wiley +1 more source
The dynamical Ising-Kac model in 3D converges to Φ 3 4. [PDF]
Grazieschi P, Matetski K, Weber H.
europepmc +1 more source
Optimal Portfolio Choice With Cross‐Impact Propagators
ABSTRACT We consider a class of optimal portfolio choice problems in continuous time where the agent's transactions create both transient cross‐impact driven by a matrix‐valued Volterra propagator, as well as temporary price impact. We formulate this problem as the maximization of a revenue‐risk functional, where the agent also exploits available ...
Eduardo Abi Jaber +2 more
wiley +1 more source

