Results 81 to 90 of about 292 (137)
Inequalities for the Casorati Curvature of Totally Real Spacelike Submanifolds in Statistical Manifolds of Type Para-Kähler Space Forms. [PDF]
Chen BY, Decu S, Vîlcu GE.
europepmc +1 more source
We present a new formulation for protein flexibility and learn protein motions from sparse experimental data.Proteins move and deform to ensure their biological functions. Despite significant progress in protein structure prediction, approximating conformational ensembles under physiological conditions remains a fundamental open problem.
Valentin Lombard +3 more
wiley +1 more source
Re-engineering the disordered mind: clinical experimentation, dynamical systems, and AI for personalized psychiatry. [PDF]
Kheirkhah M +7 more
europepmc +1 more source
A sequential quadratic Hamiltonian‐based estimation method for Box‐Cox transformation cure model
ABSTRACT We propose an enhanced estimation method for the Box‐Cox transformation (BCT) cure rate model parameters by introducing a generic maximum likelihood estimation algorithm, the sequential quadratic Hamiltonian (SQH) scheme, which is based on a gradient‐free approach.
Phuong Bui +3 more
wiley +1 more source
Geodesic Convexity of the Symmetric Eigenvalue Problem and Convergence of Steepest Descent. [PDF]
Alimisis F, Vandereycken B.
europepmc +1 more source
ABSTRACT The accurate prediction of displacement and stress fields in pressure vessels is essential for the safe and reliable design of these structures, particularly when dealing with nonlinear behavior such as that of hyperelastic functionally graded materials (FGMs).
Nasser Firouzi +2 more
wiley +1 more source
Automated analysis of low-field brain MRI in cerebral malaria. [PDF]
Tu D +20 more
europepmc +1 more source
A Hierarchical Deep Symbolic AI Method for Closed‐Form, Interpretable Constitutive Modeling
ABSTRACT Recent advances in advanced manufacturing have enabled the development of multifunctional materials such as soft composites, whose complex nonlinear behaviors demand accurate and interpretable constitutive modeling. Traditional phenomenological formulations rely heavily on assumed functional forms and expert intuition, requiring extensive ...
Haozhe Yu +3 more
wiley +1 more source
Tension transmission across a supracellular network drives increased tissue rigidity in the Drosophila retina. [PDF]
Decker JR +5 more
europepmc +1 more source
ABSTRACTLattice systems are indispensable for modeling and analyzing physical phenomena in materials with discrete or heterogeneous micro‐ or meso‐structures. However, the computational requirements for practical engineering applications of lattice systems remain high.
Benjamin Werner +2 more
wiley +1 more source

