Results 151 to 160 of about 329,714 (296)
Sign-nonsingular matrices and even cycles in directed graphs
Carsten Thomassen
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The unrolling of the peltate leaves in Syngonium podophyllum is analyzed and quantified (left‐hand side to center). These measurements serve to verify a mathematical model for leaf unrolling based on the model used in Schmidt (2007). An additional formula for obtaining a layer mismatch from a prescribed radius is derived.
Michelle Modert +4 more
wiley +1 more source
Application of signed graph in amino acid network [PDF]
This article is aimed to construct a model related to protein structure and amino acids viz., Brandstein and Tooze's condition. To study Brandstein and Tooze's condition we have considered signed graph in amino acids.
Adil Akhtar, Nasrin Irshad Hussain
doaj
Diagnosis of Chemical Processes by Use of Signed Directed Graphs
J. Shiozaki +3 more
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A Spatially Resolved View on the Aging Substantia nigra: An Exploratory Proteomic Study
Although aging is the most important risk factor for several neurodegenerative diseases, the molecular effects of physiological aging are still understudied. By applying spatially‐resolved proteomic analyses of the human substantia nigra pars compacta, alterations in vesicular trafficking and mitochondrial proteins are observed, as well as reduced ...
Britta Eggers +10 more
wiley +1 more source
Characterization of signed graphs which are cellularly embeddable in no more than one surface
Jozef Širáň
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An Edge-Signed Generalization of Chordal Graphs, Free Multiplicities on Braid Arrangements, and Their Characterizations [PDF]
Takuro Abe, Koji Nuida, Yasuhide Numata
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Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec +6 more
wiley +1 more source
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source

