Results 51 to 60 of about 236,543 (259)
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
ENERGY OF NON-COPRIME GRAPH ON MODULO GROUP
A graph is a mathematical structure consisting of a non-empty set of vertices and a set of edges connecting these vertices. In recent years, extensive research on graphs has been conducted, with one of the intriguing topics being the representation of ...
Gusti Yogananda Karang +2 more
doaj +1 more source
Computing the Energy and Estrada Index of Different Molecular Structures
Graph energy is an invariant that is derived from the spectrum of the adjacency matrix of a graph. Graph energy is actually the absolute sum of all the eigenvalues of the adjacency matrix of a graph i.e.
Zeeshan Saleem Mufti +5 more
doaj +1 more source
Control Energy of Lattice Graphs [PDF]
7 pages, 3 figures, for CDC ...
Isaac S. Klickstein +1 more
openaire +2 more sources
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Note on the Randic energy of graphs [PDF]
Summary: If \(G\) is a graph on \(n\) vertices, and \(d_i\) is the degree of its \(i\)-th vertex, then the Randic matrix of \(G\) is the square matrix of order \(n\) whose \((i, j)\)-entry is equal to \(1/\sqrt{d_id_j}\) if the \(i\)-th and \(j\)-th vertex of \(G\) are adjacent, and zero otherwise.
He, Jun, Liu, Yan-Min, Tian, Jun-Kang
openaire +2 more sources
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Method for Measuring Resilience of Complex Systems Using Network Theory and Graph Energy
Because of societies’ dependence on systems that have increasing interconnectedness, governments and industries have an increasing interest in managing the resilience of these systems and the risks associated with their disruption or failure.
Christine M. Edwards +3 more
doaj +1 more source

