Results 91 to 100 of about 90,514 (193)

Lives Penciled in, the Reality of Chronic Health Conditions and Trauma: Reflexivity, Health, and Shadowed Identities. [PDF]

Front Pain Res (Lausanne), 2022
Hovey RB, Pavate V, Vigouroux M.
europepmc   +1 more source

Beyond Directions: Symmetry‐Aware Rotation Sets for Triaxial Diffusion Encoding by Geometric Filter Optimization

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2489-2504, November 2026.
ABSTRACT Purpose To improve the accuracy of diffusion‐weighted powder average signals for diffusion encoding with arbitrary b‐tensors. Methods We identify an intrinsic dihedral (D2) symmetry of diffusion signals for arbitrary diffusion encoding, which defines their natural signal space (a quotient of 3D rotations). Based on this, we propose a method to
Sune Nørhøj Jespersen, Filip Szczepankiewicz   +1 more
wiley   +1 more source

Intersperse Coloring [PDF]

, 2007
In this thesis, we introduce the intersperse coloring problem, which is a generalized version of the hypergraph coloring problem. In the intersperse coloring problem, we seek a coloring that assigns at least l different colors to each hyperedge of the ...
Chiniforooshan, Ehsan Jay
core  

Degrees and composition of irreducible morphisms in coils

, 2019
We characterize the finiteness of degrees of irreducible morphisms between indecomposable modules lying in coils of the Auslander–Reiten quivers of artin algebras.
Chaio, Claudia Alicia, Malicki, Piotr
core   +1 more source

Unifying colors by primes. [PDF]

Light Sci Appl, 2023
Li HL, Fang SC, Lin BMT, Kuo W.
europepmc   +1 more source

Handling Experimental Data in FACPACK: Noise Effects on Duality Relations and Algorithmic Parameter Selection

Journal of Chemometrics, Volume 40, Issue 10, October 2026.
ABSTRACT The area of feasible solutions (AFS) quantifies factor ambiguity in multivariate curve resolution (MCR). Although AFS computation is well‐defined for noise‐free data, experimental datasets require constraint relaxation and parameter tuning, which influence the resulting feasible bands.
Mathias Sawall, Christoph Kubis, Alejandro Olivieri, Steven J. Roeters, Klaus Neymeyr   +4 more
wiley   +1 more source

The energy-spectrum of bicompatible sequences. [PDF]

Algorithms Mol Biol, 2021
Huang FW, Barrett CL, Reidys CM.
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

On worst-case and comparative analysis as design principles for efficient recombination operators: A graph coloring case study

, 1999
In 1995, Costa, Hertz and Dubuis, introduced a new metaheuristic for graph coloring problems [3] and they named it EDM (for Evolutionary Descent Method). Graph coloring is a problem with many applications and it naturally arises in a variety of different
Pablo Moscato, Coloring Case Study, Pablo E. Coll, Guillermo A. Durán   +3 more
core  

Impact of Leadership and Mobility on Consensus-Building in Sensor Networks. [PDF]

Sensors (Basel), 2020
Norouzi Kandalan R, Varanasi M, Buckles B, Namuduri K.   +3 more
europepmc   +1 more source