Results 171 to 180 of about 2,136,561 (347)
A Geometrical Setting for Constructing Nonlinear Lorentz Transformations of the Albano-Dresden Type [PDF]
Alexandre Lyra, Marcelo Carvalho
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Magneto‐electrodeposition (MED) is a proficient electrochemical method which uses a magnetic field during the electrodeposition process to influence ion transport and change the properties of the deposits. The Lorentz force influences the mass transport to the electrode surface by means of the magnetohydrodynamic effect (MHD) convection.
Jerom Samraj Abraham, N. Rajasekaran
wiley +1 more source
The Gibbs Fundamental Relation as a Tool for Relativity. [PDF]
Herrmann F, Pohlig M.
europepmc +1 more source
A New Kinematical Derivation of the Lorentz Transformation and the Particle Description of Light
J. H. Field
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The goal of this work is to look at how a nonlinear model describes hematopoiesis and its complexities utilizing commonly used techniques with historical and material links. Based on time delay, the Mackey–Glass model is explored in two instances. To offer a range, the relevance of the parameter impacting stability (bifurcation) is recorded.
Shuai Zhang+5 more
wiley +1 more source
Muonium fine structure: theory update, tests of Lorentz violation, and experimental prospects. [PDF]
Blumer P+5 more
europepmc +1 more source
Abstract Background The integration of MRI‐guidance and proton therapy is a current research topic. Proton therapy with the patient being placed inside an in‐beam MR scanner would require the presence of its static magnetic (B0$B_0$) field to be taken into account in dose calculation and treatment planning.
Benjamin Gebauer+5 more
wiley +1 more source
4D sensor perception in relativistic image processing. [PDF]
Müller S, Kranzlmüller D.
europepmc +1 more source
Quantitative susceptibility mapping in magnetically inhomogeneous tissues
Abstract Purpose Conventional quantitative susceptibility mapping (QSM) methods rely on simplified physical models that assume isotropic and homogeneous tissue properties, leading to artifacts and inaccuracies in biological tissues. This study aims to develop and evaluate DEEPOLE, a deep learning–based method that incorporates macroscopically ...
Thomas Jochmann+6 more
wiley +1 more source