Results 251 to 260 of about 55,665 (307)
Dynamics of biotic resistance to plant invasions
ABSTRACT Biotic resistance, the reduction in invasion success caused by native communities, plays an important role in the long‐term dynamics of biological invasions. A large body of empirical research on biotic resistance has accumulated since the last comprehensive review on the subject 20 years ago, enabling us to achieve a refined understanding of ...
Christine S. Sheppard +13 more
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Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array. [PDF]
Zhang J, Lan X, Wang X.
europepmc +1 more source
Reducing Food Waste Through Sharing Platforms: Unveiling the Rebound Effect
ABSTRACT Food‐sharing platforms are nowadays recognised as a powerful tool to increase food saving. However, little is known about the key determinants fostering its usage. We propose testing the psychosocial determinants of food‐sharing app usage and its impact on post consumption behaviour by combining the technology acceptance model (TAM) with the ...
Laura Michelini +3 more
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A Random Field Theory of Electromagnetic Information. [PDF]
Mikki S.
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Network-Based Analysis for the Quantification of Brain and Body Immune Axes with Total-Body PET Imaging. [PDF]
Maccioni L +8 more
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MetaboVariation 2.0: Multivariate analysis for identifying metabolite variation at the individual level. [PDF]
Gupta S, Gormley IC, Brennan L.
europepmc +1 more source
A leakage-aware entropy screening protocol for structured biomarker panel evaluation in ovarian cancer risk modelling. [PDF]
P DLK, P M.
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On the Geometry of Covariance Matrices
IEEE Signal Processing Letters, 2013We introduce and compare certain distance measures between covariance matrices. These originate in information theory, quantum mechanics and optimal transport. More specifically, we show that the Bures/Hellinger distance between covariance matrices coincides with the Wasserstein-2 distance between the corresponding Gaussian distributions.
Lipeng Ning +2 more
openaire +1 more source
Dimension from covariance matrices
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2017We describe a method to estimate embedding dimension from a time series. This method includes an estimate of the probability that the dimension estimate is valid. Such validity estimates are not common in algorithms for calculating the properties of dynamical systems.
T. L. Carroll, J. M. Byers
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