MEMBPLUGIN: studying membrane complexity in VMD [PDF]
Bioinformatics, 2014 AbstractSummary: Computer simulations are giving way to more complex and accurate studies of biological membranes by molecular dynamics (MD) simulations. The analysis of MD trajectories comprises the biophysical characterization of membrane properties or the study of protein–lipid interactions and dynamics.
Ramon Guixà-González +6 more
openaire +4 more sources
International Journal of Applied Mechanics and Engineering, 2022 An analysis is carried out to study chemically reactive, viscous dissipative effects of an incompressible and electrically conducting fluid with MHD free convection adjacent to a vertical surface with variable thermal conductivity (VTD) and variable mass
J. Phakirappa +3 more
doaj +1 more source
Growth prediction of Microcystis aeruginosa based on a secondary decomposition integration model
Water Science and Technology, 2023 Microcystis aeruginosa is the dominant species in the blooms of eutrophic lakes such as Taihu Lake in China. Chlorophyll-a is one of the most common indicators to characterize its biomass.
Juan Huan +5 more
doaj +1 more source
Energies, 2020 Since variational mode decomposition (VMD) was proposed, it has been widely used in condition monitoring and fault diagnosis of mechanical equipment. However, the parameters K and α in the VMD algorithm need to be set before decomposition, which ...
Hui Li +5 more
doaj +1 more source
Short-term prediction of the significant wave height and average wave period based on the variational mode decomposition–temporal convolutional network–long short-term memory (VMD–TCN–LSTM) algorithm [PDF]
Ocean Science, 2023 The present work proposes a prediction model of significant wave height (SWH) and average wave period (APD) based on variational mode decomposition (VMD), temporal convolutional networks (TCNs), and long short-term memory (LSTM) networks.
Q. Ji +6 more
doaj +1 more source
Towards an effective field theory for vector mesons [PDF]
, 2012 The assumption that vector mesons dominate the interactions of hadrons with electromagnetism (vector-meson dominance - VMD) provides an important phenomenological concept.
Leupold, Stefan, Terschlusen, Carla
core +1 more source
Study of Lattice QCD Form Factors Using the Extended Gari-Krumpelmann Model [PDF]
, 2005 We explore the suitability of a modern vector meson dominance (VMD) model as a method for chiral extrapolation of nucleon electromagnetic form factor simulations in lattice QCD.
Anthony W. Thomas +3 more
core +2 more sources
An Online Hybrid Model for Temperature Prediction of Wind Turbine Gearbox Components
Energies, 2019 Condition monitoring can improve the reliability of wind turbines, which can effectively reduce operation and maintenance costs. The temperature prediction model of wind turbine gearbox components is of great significance for monitoring the operation ...
Qiang Zhao +4 more
doaj +1 more source
Software pipeline for predicting and analyzing the structure of the receptor–ligand
Учёные записки Казанского университета: Серия Физико-математические науки, 2022 It is of fundamental importance in pharmacology and theoretical biology to analyze the binding of ligands to receptors. A better understanding of this process and its outcomes can help predict the following: how the protein interacts with ligands ...
A.S. Kozlova +3 more
doaj +1 more source
A comparison of the use of vacuum metal deposition versus cyanoacrylate fuming for visualisation of fingermarks and grab impressions on fabrics [PDF]
, 2014 Both vacuum metal deposition (VMD) and cyanoacrylate fuming (CAF) are techniques used to visualise latent fingermarks on smooth non-porous surfaces such as plastic and glass.
Bleay, Stephen +3 more
core +3 more sources