Results 141 to 150 of about 24,793 (234)

Origins and Evolution of Imagination, From Australopithecus to Modern‐Day Deep Learning

open access: yesWIREs Cognitive Science, Volume 17, Issue 3, May/June 2026.
From Australopithecus to deep learning, this update traces how imaginative generativity, vivid mental imagery, and recombines memory into novel scenarios that evolved as a survival engine shaping consciousness, culture, and even today's AI. ABSTRACT Where does imagination come from?
Kiranpreet K. Sidhu   +2 more
wiley   +1 more source

Time‐resolved XPCS analysis across broad time‐scales using multi‐tau two‐time correlations

open access: yesJournal of Synchrotron Radiation, Volume 33, Issue 3, Page 698-707, May 2026.
A scalable multi‐tau two‐time correlation framework enables efficient, time‐resolved XPCS analysis of long duration high‐frame‐rate modern synchrotron data while preserving sensitivity to non‐stationary dynamics.We present a multi‐tau two‐time correlation (MT‐2TC) analysis for X‐ray photon correlation spectroscopy that enables efficient analysis of ...
Fabio Brugnara   +13 more
wiley   +1 more source

Spatial price competition and buyer power in the U.S. beef packing industry

open access: yesAmerican Journal of Agricultural Economics, Volume 108, Issue 3, Page 771-798, May 2026.
Abstract We develop a spatially‐explicit model of the U.S. beef packing industry to study key questions related to competition in an oligopsony setting. Cattle supplies are modeled at the county level, and packing plants' location, capacity, and ownership are taken as given. Packers procure negotiated cattle by competing in prices in each local (county)
GianCarlo Moschini, T. Jake Smith
wiley   +1 more source

Gradual Changes in Functional Time Series

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 632-650, May 2026.
ABSTRACT We consider the problem of detecting gradual changes in the sequence of mean functions from a not necessarily stationary functional time series. Our approach is based on the maximum deviation (calculated over a given time interval) between a benchmark function and the mean functions at different time points.
Patrick Bastian, Holger Dette
wiley   +1 more source

Tensor Changepoint Detection and Eigenbootstrap

open access: yesJournal of Time Series Analysis, Volume 47, Issue 3, Page 557-578, May 2026.
ABSTRACT Tensor data consisting of multivariate outcomes over the items and across the subjects with longitudinal and cross‐sectional dependence are considered. A completely distribution‐free and tweaking‐parameter‐free detection procedure for changepoints at different locations is designed, which does not require training data.
Michal Pešta   +2 more
wiley   +1 more source

Quantum Time‐Marching Algorithms for Solving Linear Transport Problems Including Boundary Conditions

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 8, 30 April 2026.
ABSTRACT This article presents the first complete application of a quantum time‐marching algorithm for simulating multidimensional linear transport phenomena with arbitrary boundaries, whereby the success probabilities are problem intrinsic. The method adapts the linear combination of unitaries algorithm to block encode the diffusive dynamics, while ...
Sergio Bengoechea   +2 more
wiley   +1 more source

A Shape Optimization Approach for Inferring Sources of Volcano Ground Deformation

open access: yesGeophysical Research Letters, Volume 53, Issue 7, 16 April 2026.
Abstract One of the main goals of volcano geodesy is to improve the understanding of how an increase in pressure related to magma accumulation causes ground deformation in order to evaluate volcanic unrest. The inversion methods used for this purpose rely on a parametrization of the shape of the crustal volume in which pressure changes due to magma ...
Théo Perrot   +2 more
wiley   +1 more source

Hadamard Products of Schlicht Functions [PDF]

open access: yesProceedings of the American Mathematical Society, 1968
openaire   +1 more source

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