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Exploring marking methods for the predatory hoverfly Sphaerophoria rueppellii (Diptera: Syrphidae)
As important pollinators and predators of aphids, hoverflies play an important role in ecosystems. This study focuses on identifying the best marking technique for the model species Sphaerophoria rueppellii that can be used to track hoverfly feeding and oviposition sites, evaluating three methods: rubidium (RbCl), fluorescein, and fluorescent dusts ...
Michele Violi +4 more
wiley +1 more source
Decoding active sites in high-entropy catalysts via attention-enhanced model. [PDF]
Yin L +9 more
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Comparative Analysis of Passing, Possession, and Goal-Scoring Trends in Euro 2024 and Copa America 2024. [PDF]
Taheri-Araghi S, Ghadimi M, Del Coso J.
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Predicting football match outcomes: a multilayer perceptron neural network model based on technical statistics indicators of the FIFA world Cup. [PDF]
Luo Y, Quan T, Cao Y.
europepmc +1 more source
Analyzing NBA player positions and interactions with density-functional fluctuation theory. [PDF]
Barron B, Sitaraman N, Arias T.
europepmc +1 more source
Shape-Determined Kinetic Pathways in 2D Solid-Solid Phase Transitions. [PDF]
Zhu R, Peng Y, Wang Y.
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Small ball probabilities of Gaussian fields
Probability Theory and Related Fields, 1995Let \(X(t)\), \(t \in R^d\), \(d \geq 1\), be a real-valued Gaussian field with mean zero. Lower bounds on the small ball probability, i.e. \(P(\sup_{0 \leq t \leq 1} |X(t)|\leq x)\) for small \(x\)'s, are given for two classes of processes: Gaussian fields satisfying \(E |X(s) - X(t)|^2 \leq \sigma^2(|s - t|)\) for some nondecreasing function \(\sigma(
Shao, Q.-M., Wang, D.
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Functional Quantization and Small Ball Probabilities for Gaussian Processes
Journal of Theoretical Probability, 2003Quantization consists in studying the \(L^r\)-error induced by the approximation of a random vector \(X\) by a vector (quantized version) taking a finite number \(n\) of values. This paper investigates this problem for Gaussian random vectors in an infinite-dimensional Banach space and in particular, for Gaussian processes.
Pagès, G., Luschgy, H., Graf, S.
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