Results 51 to 60 of about 2,222,110 (295)
Applications of uniform boundedness principle to matrix transformations
Using the uniform boundedness principle of Maddox, we characterize matrix transformations from the space $(\ell_{p}) _{T}$ to the spaces $m(\phi )$ and $n(\phi )$ for the case $1\leq p\leq \infty$, which correspond to bounded linear operators.
M.A. Sarıgöl
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
The T-matrix is a powerful tool that provides the complete description of the linear interaction between the electromagnetic field and a given object.
Ivan Fernandez-Corbaton (1635415) +1 more
core +1 more source
Möbius Transformations of Matrix Polynomials [PDF]
We discuss Möbius transformations for general matrix polynomials over arbitrary fields, analyzing their influence on regularity, rank, determinant, constructs such as compound matrices, and on structural features including sparsity and symmetry.
Mackey, Niloufer +3 more
core +2 more sources
Mobius Transformations of Matrix Polynomials [PDF]
We discuss Mobius transformations for general matrix polynomials over arbitrary fields, analyzing their influence on regularity, rank, determinant, constructs such as compound matrices, and on structural features including sparsity and symmetry.
Mackey, Niloufer +3 more
core +2 more sources
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
On Some New Normed Narayana Sequence Spaces
In this paper, we first establish the regular matrix $N$ using Narayana numbers. Then, we create new normed sequence spaces $Z(N)$ using the matrix $ N$ and demonstrate that these spaces are linearly isomorphic to $Z$ where $Z\in\{c_0, c, \ell_p, \ell_ ...
Hacer Bilgin Ellidokuzoğlu
doaj +1 more source
Cancer progression is regulated by the dynamic matrix code of the tumor microenvironment, which influences cellular behavior and disease development. Importantly, matrix remodeling in three‐dimensional cancer models more accurately reflects in vivo conditions compared to conventional two‐dimensional systems.
Sylvia Mangani +3 more
wiley +1 more source
A New Outlook for Almost Convergent Sequence Spaces
Thepoint standing out in the present paper is the sequence spaces , and producedby the domain of the infinite matrix ,which is defined in the previous study of Candan [2], where the spaces , and ,respectively, are as presented by G.G.
Murat Candan
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The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
wiley +1 more source

