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Journal of Generalized Lie Theory and Applications

ISSN: 1736-4337

Open Access

Volume 16, Issue 10 (2022)

Mini Review Pages: 1 - 2

The Brain′s Semantic Network Distinguishes Algebra from Arithmetic

Lewis Marsh*

DOI: 10.37421/1736-4337.2022.16.355

Analyses of brain activity revealed that arithmetic activated more of the bilateral supplementary motor area, left insula and left inferior parietal lobule, while algebra activated more of the angular gyrus. For algebra, significant brain-behavior correlations were found in the semantic network, including the middle temporal gyri, inferior frontal gyri, dorsomedial prefrontal cortices and left angular gyrus. Interindividual single-trial brainbehavior correlation The phonological network, which included the precentral gyrus and supplementary motor area and the visuospatial network, which included the bilateral superior parietal lobules, contained the significant brain-behavior correlations for arithmetic. The visuospatial and semantic networks were found to have significant positive functional connectivity in algebra, while only the visuospatial and phonological networks were found to have significant positive functional connectivity in arithmetic.

Mini Review Pages: 1 - 2

Theory and Unresolved Issues in Discrete Time−Tree Combinatorics

Zhen Yang*

DOI: 10.37421/1736-4337.2022.16.354

A time-tree is a rooted phylogenetic tree with all internal and leaf nodes equipped with absolute divergence and sampling dates, respectively. Although these time-trees have emerged as a major focus of phylogenetics research, little is known about their parameter space. From a graphtheoretic and algorithmic point of view, we present and investigate a hierarchy of discrete time-tree space approximations in this article. The NNI graph, one of the most fundamental and widely used phylogenetic graphs, is our hierarchy's lowest level and roughest approximation. The sampling dates and relative timing of evolutionary divergence are discretized by more refined approximations.

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