Origins and Evolution of Imagination, From Australopithecus to Modern‐Day Deep Learning
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
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
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
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
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
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
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]
openaire +1 more source
Digital Quantum Simulation of Wavepacket Correlations in a Chemical Reaction. [PDF]
Mohtashim SI, Kais S.
europepmc +1 more source
Study analytical function subordination properties by applying a novel linear operator. [PDF]
Majel MS, Hameed MI.
europepmc +1 more source

