Results 41 to 50 of about 24,793 (234)

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

On the hadamard products of Schlicht functions and applications

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1985
We show that each of the schlicht classes of starlike, convex, close-to-convex and strongly starlike with respect to symmetric points is invariant under the Hadamard product with the class of convex functions.
H. S. Al-Amiri
doaj   +1 more source

Weighted Hermite–Hadamard type inclusions for products of co-ordinated convex interval-valued functions

open access: yesAdvances in Difference Equations, 2021
In this paper, we establish some Hermite–Hadamard–Fejér type inclusions for the product of two co-ordinated convex interval-valued functions. These inclusions are generalizations of some results given in earlier works.
Hasan Kara   +4 more
doaj   +1 more source

Geometric means and Hadamard products [PDF]

open access: yesMathematical Inequalities & Applications, 2005
The authors generalize the geometric mean for positive definite matrices defined by \textit{W. Pusz} and \textit{S. L. Woronowicz} [Rep. Math. Phys. 8, 159--170 (1975; Zbl 0327.46032)] to any number of matrices, obtaining an interesting inequality between Hadamard products of such means and the Hadamard product of original matrices.
Feng, Bao Qi, Tonge, Andrew
openaire   +2 more sources

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

Generalization of a Hadamard type inequality for permanents

open access: yes, 2019
This paper is devoted to a generalization of a Hadamard type inequality for the permanent of a complex square matrix. Our proof is based on a non-trivial extension of a technique used in Carlen, Lieb and Loss (Methods and Applications of Analysis 13 (1) (
Roos, Bero
core   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

open access: yesAdvanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su   +7 more
wiley   +1 more source

Hadamard products and BPS networks

open access: yesJournal of High Energy Physics
We study examples of fourth-order Picard-Fuchs operators that are Hadamard products of two second-order Picard-Fuchs operators. Each second-order Picard-Fuchs operator is associated with a family of elliptic curves, and the Hadamard product computes ...
Mohamed Elmi
doaj   +1 more source

Class of meromorphic univalent functions with positive coefficients associated with a generalized q-Sălăgean operator

open access: yesJournal of Taibah University for Science, 2020
In this paper, using $ q- $ derivative operator, we define the class $ \Sigma _{q,v}^{\ast }(n,\alpha ,\beta ,\lambda ) $ of meromorphic univalent functions and obtain coefficient estimates, distortion, closure theorems, modified Hadamard products, some ...
M. K. Aouf   +2 more
doaj   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

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