Results 221 to 230 of about 750,144 (292)

A Generalization of Cardy's and Schramm's Formulae. [PDF]

Commun Math Phys
Khristoforov M, Skopenkov M, Smirnov S.
europepmc   +1 more source

On the Decomposition of A Class of Functions of Bounded Variation [PDF]

, 1964
R. G. Laha
openalex   +1 more source

Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo   +7 more
wiley   +1 more source

Geometric Bounds for Low Steklov Eigenvalues of Finite Volume Hyperbolic Surfaces. [PDF]

J Geom Anal
Hassannezhad A, Métras A, Perrin H.
europepmc   +1 more source

A problem on bounded analytic functions [PDF]

, 1964
P. B. Kennedy
openalex   +1 more source

Fault, error, and failure

Journal of Applied Clinical Medical Physics, EarlyView.
Mohammad Bakhtiari
wiley   +1 more source

Epitope Mapping of Anti‐Neurofascin 155 Antibody in a Large Cohort of Autoimmune Nodopathy Patients

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune nodopathy (AN), a newly recognized disease entity, is an immune‐mediated polyneuropathy involving autoantibodies against cell adhesion molecules located in nodes of Ranvier and paranodal regions, such as neurofascin 186 (NF186) and neurofascin 155 (NF155). The present study aimed to identify the epitopes for autoantibodies
Amina A. Abdelhadi, Hidenori Ogata, Xu Zhang, Takumi Tashiro, Ryo Yamasaki, Jun‐ichi Kira, Noriko Isobe   +6 more
wiley   +1 more source

On the Isoperimetric and Isodiametric Inequalities and the Minimisation of Eigenvalues of the Laplacian. [PDF]

J Geom Anal
Farrington S.
europepmc   +1 more source

Approximation-based adaptive fixed-time tracking control for uncertain high-order nonlinear systems subject to time-varying parameters and unknown input nonlinearity. [PDF]

Sci Rep
Zhang X, Yang Z, Zhou Y, Deng X.
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source