Results 261 to 270 of about 582,534 (335)

Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities. [PDF]

Psychol Methods
Park S, Kim SY, Zheng X, Lee C.
europepmc   +1 more source

The Secular Equation for Elastic Surface Waves Under Boundary Conditions of Impedance Type: A Perspective from Linear Algebra

Fabio Vallejo
openalex   +1 more source

Polyvinylidene Fluoride: Reaction Engineering and Applications

Macromolecular Reaction Engineering, EarlyView.
An updated review on polyvinylidene fluoride (PVDF) is presented in this work. Its properties, important areas of application and different methods of production are described, with particular focus on emulsion polymerization, covering the latest advances in formulations and modeling studies.
Burak Hanamirian, Giuseppe Storti, Mattia Sponchioni   +2 more
wiley   +1 more source

A Synthesis of Mathematics Interventions for High School Students With Mathematics Difficulties. [PDF]

J Learn Disabil
Payne SB, Powell SR, Fry EC.
europepmc   +1 more source

The Algebra of a Linear Hypothesis

The Annals of Mathematical Statistics, 1960
openaire   +3 more sources

Faster and More Robust CK Reaction Rate Estimation at 3T Using Acquisition‐Weighted 31P Cardiac 1D‐MRSI With Compartment‐Based Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford, Iveta Pajanová, William D. Watson, Andrew C. Tyler, Roshan Xavier, Ferenc E. Mózes, Oliver J. Rider, Damian J. Tyler, Ladislav Valkovič   +8 more
wiley   +1 more source

Twist Fields in Many-Body Physics. [PDF]

Entropy (Basel)
Doyon B.
europepmc   +1 more source

Physics‐Guided Neural Network for Quantitative Parameter Mapping Using Balanced Steady State Free Precession MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi, Huan Minh Luu, Sung‐Hong Park   +2 more
wiley   +1 more source

Demonstrating completeness in optical neural computing. [PDF]

Light Sci Appl
Tyszka K.
europepmc   +1 more source