Channels of Evolution: Unveiling Evolutionary Patterns in Diatom Ca2+ Signalling. [PDF]
Murphy EA +3 more
europepmc +1 more source
Karl Popper and the Mechanisms of Hydrogen Embrittlement
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Out-of-sync evolutionary patterns and mutual interplay of major and minor capsid proteins in norovirus GII.2. [PDF]
Xu R +9 more
europepmc +1 more source
Evolutionary patterns and functional effects of 3D chromatin structures in butterflies with extensive genome rearrangements. [PDF]
Zhou B +10 more
europepmc +1 more source
Complex evolutionary patterns within the tubulin gene family of ciliates, unicellular eukaryotes with diverse microtubular structures. [PDF]
Su H +6 more
europepmc +1 more source
Comparative analysis of the mutational landscape and evolutionary patterns of pancreatic ductal adenocarcinoma metastases in the liver or peritoneum. [PDF]
Yao G +10 more
europepmc +1 more source
Beyond CREA: Evolutionary patterns of non-allometric shape variation and divergence in a highly allometric clade of murine rodents. [PDF]
Marcy AE +4 more
europepmc +1 more source
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Evolutionary patterns of agent organizations
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2002Problems approached by multi-agent systems are typically complex. It is usually difficult to know at system design stage how many agents need to be in the system, what each agent's role is, and how the agents should interact to get optimal performance out of the group.
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Genealogical patterns in evolutionary algorithms
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019Event Takeover Values (ETV) measure the impact of each individual in the population dynamics of evolutionary algorithms (EA). Previous studies argue that ETV distribution of panmictic EAs fit power laws with exponent between 2.2 and 2.5 and that this property is insensitive to fitness landscapes and design choices of the EAs.
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