Results 161 to 170 of about 5,161,693 (301)

Editorial: Advancing Our Understanding of Structure and Function in the Brain: Developing Novel Approaches for Network Inference and Emergent Phenomena

Frontiers in Physics, 2021
Chris G. Antonopoulos, Nicolás Rubido, Nicolás Rubido, Antonio M. Batista, Murilo S. Baptista   +4 more
doaj   +1 more source

Development of Patient‐Reported Outcome Measures for Early Systemic Sclerosis Across Disease Subtypes

Arthritis Care &Research, Accepted Article.
Objective Existing patient‐reported outcome (PRO) measures for systemic sclerosis (SSc) have important limitations, including inadequate coverage of early disease and limited inclusion of diffuse cutaneous (dcSSc) and limited cutaneous (lcSSc) subtypes.
George J. Greene, Chelsea Rose Perschon, Emilie Jaeger, Alain Lescoat, David Cella, Dinesh Khanna   +5 more
wiley   +1 more source

Editorial: Applications and Methods in Genomic Networks

Frontiers in Genetics, 2022
Maud Fagny, Maud Fagny, Kimberly Glass, Kimberly Glass, Kimberly Glass, Marieke L. Kuijjer, Marieke L. Kuijjer, Marieke L. Kuijjer   +7 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Editorial: Systems Modeling: Approaches and Applications

Frontiers in Molecular Biosciences, 2020
Alberto J. Martin, Ernesto Perez-Rueda, Daniel Garrido   +2 more
doaj   +1 more source

scGraphVerse: a modular workflow for single-cell gene network inference. [PDF]

Bioinform Adv
Cecere F, De Canditiis D, Carissimo A, Angelini C.   +3 more
europepmc   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Disentangling factors affecting bacterial transcriptional regulatory network inference. [PDF]

iScience
Li G, Burrows JT, Lou XA, Palsson BO, Zielinski DC.   +4 more
europepmc   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]

Brief Bioinform
Klemmer P, Hemedan AA, Schneider R, Ostaszewski M.   +3 more
europepmc   +1 more source