Self-starting slime mold [PDF]
The Journal of Cell Biology, 2007 ![Graphic][1] PI3K (arrows) accumulates in the stretching pseudopods of a slithering cell. Hungry cells often wander around, hunting for something tasty. On page [185][2], Sasaki et al.
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New mid-Cretaceous cryptic slime mold beetles and the early evolution of Sphindidae (Coleoptera: Cucujoidea) [PDF]
Arthropod Systematics & Phylogeny, 2021 The cryptic slime mold beetles, Sphindidae, are a moderately diverse cucujoid beetle family, whose members are obligately tied to slime molds throughout their life.
Yan-Da Li +4 more
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On the role of the plasmodial cytoskeleton in facilitating intelligent behavior in slime mold Physarum polycephalum. [PDF]
Commun Integr Biol, 2015 Mayne R, Adamatzky A, Jones J.
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Multiprocessor Fair Scheduling Based on an Improved Slime Mold Algorithm
Algorithms, 2023 An improved slime mold algorithm (IMSMA) is presented in this paper for a multiprocessor multitask fair scheduling problem, which aims to reduce the average processing time.
Manli Dai, Zhongyi Jiang
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Investigating Los Angeles’ urban roadway network from a biologically-formed perspective [PDF]
PeerJ, 2020 The evolution of networks is constrained by spatial properties of the environment; a characterization that is true in both biological and built networks.
Sophia Deen +3 more
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A Method for Growing Bio-memristors from Slime Mold. [PDF]
J Vis Exp, 2017 Miranda ER, Braund E.
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Chemical compounds from Dictyostelium discoideum repel a plant-parasitic nematode and can protect roots. [PDF]
PLoS ONE, 2018 Slime mold species in the genus Dictyostelium are considered to have a close relationship with non-parasitic nematodes; they are sympatric in soils and can exhibit interspecific competition for food. We investigated whether this relationship extends to a
Yumiko F Saito +4 more
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A Node Selecting Approach for Traffic Network Based on Artificial Slime Mold
IEEE Access, 2020 The node selecting problem of traffic network is a significant issue and is difficult to be solved. In this paper, an artificial slime mold method is proposed to help us solve the problem.
Zhengying Cai +4 more
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Ultra-short-term wind power prediction based on PVMD-ESMA-DELM
Energy Reports, 2022 The non-linearity and non-stationarity of wind power data have brought great challenges to the safe operation of the power system. It is particularly important to effectively improve the accuracy of ultra-short-term prediction of wind power.
Guoqing An +5 more
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An Improved Solution to Generation Scheduling Problem Using Slime Mold Algorithm
Frontiers in Energy Research, 2022 The slime mold algorithm (SMA) is a novel meta-heuristic search that replicates the characteristics of slime mold during oscillation. This is presented in a novel mathematical formulation that employs changeable weights to modify the sequence of both ...
Zixuan Zhu
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