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A CONVEX COMPRESSIBILITY-INSPIRED UNSUPERVISED LOSS FUNCTION FOR PHYSICS-DRIVEN DEEP LEARNING RECONSTRUCTION.
Proc IEEE Int Symp Biomed Imaging
May 2024
Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Physics-driven deep learning (PD-DL) methods have gained popularity for improved reconstruction of fast MRI scans. Though supervised learning has been used in early works, there has been a recent interest in unsupervised learning methods for training PD-DL. In this work, we take inspiration from statistical image processing and compressed sensing (CS), and propose a novel convex loss function as an alternative learning strategy.
View Article and Find Full Text PDFThe Port-Hamiltonian Structure of Continuum Mechanics.
J Nonlinear Sci
January 2025
Robotics and Mechatronics Department, University of Twente, Enschede, The Netherlands.
In this paper, we present a novel approach to the geometric formulation of solid and fluid mechanics within the port-Hamiltonian framework, which extends the standard Hamiltonian formulation to non-conservative and open dynamical systems. Leveraging Dirac structures, instead of symplectic or Poisson structures, this formalism allows the incorporation of energy exchange within the spatial domain or through its boundary, which allows for a more comprehensive description of continuum mechanics. Building upon our recent work in describing nonlinear elasticity using exterior calculus and bundle-valued differential forms, this paper focuses on the systematic derivation of port-Hamiltonian models for solid and fluid mechanics in the material, spatial, and convective representations using Hamiltonian reduction theory.
View Article and Find Full Text PDFMolecular Dynamics Insights into Cyrene's Vapor-Liquid Equilibria and Transport Properties.
J Phys Chem B
January 2025
Department of Chemical Engineering, University of Bath, Bath Ba2 7ay, United Kingdom.
Since its inception in 2014, Cyrene has emerged as a promising biobased solvent derived from renewable cellulose waste, offering a sustainable alternative to conventional toxic solvents. However, experimental data on its thermodynamic and transport properties remain scarce. This study addresses this critical gap by employing state-of-the-art molecular dynamics simulations.
View Article and Find Full Text PDFFacile Fabrication of Binary-Structured Fibrous Membranes with Antifouling and Flame-Retardant Properties for Durable Water/Oil Separation.
ACS Appl Mater Interfaces
January 2025
College of Textiles, Donghua University, Shanghai 201620, China.
Membrane fouling from dispersed droplets during water/oil separation undermines performance and limits long-term use. Additionally, there is an urgent need for flame-retardant fibrous membranes capable of purifying high-temperature polluted oils. Inspired by the binary structure of taro leaves, this study introduces a novel fibrous membrane with both antifouling and flame-retardant properties for water/oil treatment.
View Article and Find Full Text PDFC3AR1 as a target for preeclampsia: from bioinformatics and network pharmacology to experimental validation.
BMC Pregnancy Childbirth
January 2025
Obstetrics and Gynecology Center, Department of Gynecology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510280, China.
Background: Preeclampsia, characterized by hypertension and proteinuria during pregnancy, poses significant risks to both mother and fetus. The complement system's aberrant activation, notably the C3AR1, is important to the pathogenesis of preeclampsia, although the precise mechanisms are not fully understood.
Materials And Methods: Utilizing the Comparative Toxicogenomics Database (CTD) and Molecular Signatures Database (MSigDB), we identified complement system targets associated with preeclampsia and environmental pollutants.
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