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Developmental bias explains the evolutionary trend towards simple leaf shapes

open access: yes
Malone JS   +4 more
europepmc   +1 more source
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Evaluation repeated random walks in community detection of social networks

2010 International Conference on Machine Learning and Cybernetics, 2010
The repeated random walks algorithm (RRW) is a graph clustering algorithm proposed recently. RRW has been shown to achieve better performance on functional module discovery in protein-protein interaction networks than Markov Clustering Algorithm (MCL). There is however little work applying RRW to community detection in social networks.
Haiying Wang
exaly   +3 more sources

A pointwise limit theorem for counting processes of perturbed random walks with an application to repeated significance tests

Sequential Analysis, 2017
ABSTRACTHsu and Robbins (1947) introduced the concept of complete convergence as a complement to the Kolmogorov strong law in that they proved that provided the mean of the summands is zero and that the variance is finite. Later, Erdős proved the necessity (1949, 1950).
Ulrich Stadtmüller
exaly   +2 more sources

Effects of incorporating dual task into repeated 6‐min walk test on balance and walking functions in patients with subacute stroke: A randomized controlled trial

Physiotherapy Research International, 2023
AbstractObjectiveTo explore the effects of incorporating dual task into a repeated 6‐min walk test (6MWT) on balance and walking functions in patients with subacute stroke.MethodsTwenty‐eight subacute stroke survivors were randomized into experimental group (EG) and control group (CG).
In‐Hyup Jung, Duck‐Won Oh
openaire   +2 more sources

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