Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park +3 more
wiley +1 more source
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. [PDF]
Wang M +4 more
europepmc +1 more source
Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari +3 more
wiley +1 more source
Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun +5 more
wiley +1 more source
A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
ABSTRACT In radiotherapy for cancer, organs surrounding the target tumor, known as organs‐at‐risk (OARs), should be protected from excessive radiation to avoid toxicity. Radiation exposure to multiple OARs can be summarized using matrix‐valued dose‐volume histograms (DVH), and understanding the causal relationship between DVHs and toxicity outcomes can
Zijin Liu +6 more
wiley +1 more source
Hidden Markov Models for Bounded, Inflated Time Series: Forecasting Icing on Wind Turbine Blades
ABSTRACT Time series analysis of icing‐induced power loss in wind turbines pose several challenges: the response is bounded, serially dependent, intermittently missing, highly dispersed, and often inflated at a single value. We address these challenges with discrete‐time hidden Markov models for a discrete‐continuous process assumed to follow a mixture
Albert S. Bisgaard +3 more
wiley +1 more source
SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association. [PDF]
Zhao Y, Chen X, Yin J, Qu J.
europepmc +1 more source
Network Games With Triadic Interactions
ABSTRACT We propose a model for network‐mediated interactions incorporating higher‐order relationships such as triadic interactions. The marginal utility of an individual's action depends explicitly on endogenous actions of multiple units. Conditions ensuring a unique Nash equilibrium are derived using a variational inequality approach. We estimate the
Wei Shi, Chunchao Wang, Pei Yu
wiley +1 more source
Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh +2 more
wiley +1 more source
Signatures of Radiation‐Induced Stress and Putative Selection on Immune Targets in Chornobyl Wolves
ABSTRACT Investigating the physiological and evolutionary consequences of contaminant exposure in wild populations is critical for understanding long‐term ecological impacts of anthropogenic change. However, how and why species persist, even thrive, in highly contaminated regions in the absence of humans remains a topic of much debate.
Cara N. Love +9 more
wiley +1 more source

