Results 61 to 70 of about 14,713,178 (309)
Organoids in pediatric cancer research
FEBS Letters, EarlyView.Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Application of Haddon’s matrix in qualitative research methodology: an experience in burns epidemiology [PDF]
Background: Little has been done to investigate the application of injury specific qualitative research methods in the field of burn injuries. The aim of this study was to use an analytical tool (Haddon’s matrix) through qualitative research methods to ...
عرشی, شهنام +4 more
core +1 more source
Quasi-permutation Representations of Borel and Parabolic Subgroups of Steinberg's triality groups [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2009 If G is a finite linear group of degree n, that is, a finite group of automor-phisms of an n-dimensional complex vector space, or equivalently, a finite group of non-singular matrices of order n with complex coefficients, we shall say that G is a quasi ...
M. Ghorbany
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FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
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Hybridization of electromagnetic numerical methods through the G-matrix algorithm [PDF]
Optics Letters, 2008 For the sake of numerical performance, we hybridize two common approaches often used in electromagnetic computations, namely the finite-element method and the aperiodic Fourier modal method. To that end, we propose an extension of the classical S-matrix formalism to numerical situations, which requires handling different mathematical representations of
Hugonin, Jean-Paul +2 more
openaire +3 more sources
Characteristic Polynomial of Antiadjacency Matrix of Several Classes of Graph Join
Indonesian Journal of CombinatoricsSuppose G is a simple and undirected graph. The adjacency matrix of graph G, denoted by A(G) is a square matrix that representing graph G based on the adjacency of vertices on G, denoted by A(G). The antiadjacency matrix of graph G is a matrix B(G)=J−A(G)
Anthony Arthur Ataupah +1 more
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Communications in Advanced Mathematical Sciences, 2018 The signless Laplacian eigenvalues of a graph $G$ are eigenvalues of the matrix $Q(G) = D(G) + A(G)$, where $D(G)$ is the diagonal matrix of the degrees of the vertices in $G$ and $A(G)$ is the adjacency matrix of $G$.
Rao Li
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FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
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The Aα-Spectral Radii of Graphs with Given Connectivity
Mathematics, 2019 The A α -matrix is A α ( G ) = α D ( G ) + ( 1 − α ) A ( G ) with α ∈ [ 0 , 1 ] , given by Nikiforov in 2017, where A ( G ) is adjacent matrix, and D ( G ) is its ...
Chunxiang Wang, Shaohui Wang
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On the distance α-spectral radius of a connected graph
Journal of Inequalities and Applications, 2020 For a connected graph G and α ∈ [ 0 , 1 ) $\alpha \in [0,1)$ , the distance α-spectral radius of G is the spectral radius of the matrix D α ( G ) $D_{\alpha }(G)$ defined as D α ( G ) = α T ( G ) + ( 1 − α ) D ( G ) $D_{\alpha }(G)=\alpha T(G)+(1-\alpha )
Haiyan Guo, Bo Zhou
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