Results 151 to 160 of about 13,010 (261)
Adjoint <i>L</i>-functions, congruence ideals, and Selmer groups over GL n. [PDF]
Fong HL.
europepmc +1 more source
Generalizations of the Dirichlet Problem for Bianalytic Functions
ABSTRACT We prove the Dirichlet problem for second‐order iterated Vekua equations, a natural generalization of the Bitsadze equation, is well‐posed when the boundary condition is defined as a product of an exponential function and a polynomial on a non‐degenerate conic that is not a circumference.
William L. Blair
wiley +1 more source
Structure of the (Total) Transformation Monoids Under Rank N Generators. [PDF]
M Sulaiman H, Al-Aadhami A.
europepmc +1 more source
ABSTRACT We develop and analyze a fully discrete finite difference approximation for a damped shear beam model with mixed boundary conditions and no rotational inertia. The absence of a second‐order time derivative in the rotational equation gives rise to an asymmetric temporal structure.
Anderson de Jesus Araújo Ramos +3 more
wiley +1 more source
Nonlinear Projection for Ballistic Correlation Functions: a Formula in Terms of Minimal Connected Covers. [PDF]
Doyon B.
europepmc +1 more source
ABSTRACT Purpose Transmit (B1+) and receive (B1−) sensitivities of parallel‐transmit/receive RF array are a prerequisite for modern ultra‐high‐field MRI. Their accurate mapping remains challenging for coils with high transmit dynamic range, particularly in regions with low combined‐mode B1+ magnitude, where standard reconstruction is impaired by noise.
Natalia Dudysheva +5 more
wiley +1 more source
Thermodynamics à la Souriau on Kähler Non-Compact Symmetric Spaces for Cartan Neural Networks. [PDF]
Fré PG, Sorin AS, Trigiante M.
europepmc +1 more source
Accelerated MR Elastography Using Learned Neural Network Representation
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley +1 more source
A Coherence-Dissipation Framework for Brain Dynamics and Consciousness. [PDF]
Ali AF +3 more
europepmc +1 more source

