Early intervention in fatigue: a feasibility study

Horne, Sarah

doi:10.1186/isrctn72645894

http://isrctn.org/> 2013

DOI: 10.1186/isrctn72645894

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Early intervention in fatigue: a feasibility study

Sarah Horne¹

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2020

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“…The number of patterns exponentially increases with the distance from the origin, while their Euclidean size exponentially decreases. (Constructed with the Poincaré tool[24]. )…”

mentioning

confidence: 99%

Complex networks in the framework of nonassociative geometry

Nesterov

Villafuerte

2020

Phys. Rev. E

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In the scope of nonassociative geometry we present a new effective model that extends the statistical treatment of complex networks, accounting for the effect of nonlocal curvature. Our model can be applied to the study of complex networks embedded in a space of global positive, null, or negative curvature, or even in a space of arbitrary curvature. We use this approach to study the Internet as a complex network embedded in a hyperbolic space. The nonlocal space curvature affects the connectance probability, leading to an inhomogeneous distribution. We show that our model yields a remarkable agreement with available empirical data.

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“…The number of patterns exponentially increases with the distance from the origin, while their Euclidean size exponentially decreases. (Constructed with the Poincaré tool[24]. )…”

mentioning

confidence: 99%

Complex networks in the framework of nonassociative geometry

Nesterov

Villafuerte

2020

Phys. Rev. E

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Early intervention in fatigue: a feasibility study

Cited by 1 publication

References 0 publications

Complex networks in the framework of nonassociative geometry

Complex networks in the framework of nonassociative geometry

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