Results 51 to 60 of about 1,379,599 (244)

Spectral Decomposition of Signaling Networks [PDF]

2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, 2007
Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks modeled as Petri nets are one class of such graphical modeling and representations. These networks encode how different protein in specific compartments, interact to create new
Parvin, Bahram, Ghosh, Nimu, Heiser, Laura, Knapp, M., Talcott,C., Laderoute, K., Gray, J., Spellman, P.   +7 more
openaire   +3 more sources

Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers

FEBS Letters, EarlyView.
Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui, Agnes Banreti, Armelle L. Ernst, Guillaume Leseigneur, Uwe J. Meierhenrich   +4 more
wiley   +1 more source

Error Estimates for Adaptive Spectral Decompositions

Journal of Scientific Computing, 2022
AbstractAdaptive spectral (AS) decompositions associated with a piecewise constant function, u, yield small subspaces where the characteristic functions comprising u are well approximated. When combined with Newton-like optimization methods for the solution of inverse medium problems, AS decompositions have proved remarkably efficient in providing at ...
Daniel H. Baffet, Yannik G. Gleichmann, Marcus J. Grote   +2 more
openaire   +6 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

A Learnable Radial Basis Function Network–Based Method for Decomposing Shock-Induced Vibration Signals

Shock and Vibration
Structural shock responses caused by underwater explosions contain transient components with overlapping frequency contents, which makes modal decomposition difficult.
Yiyang Long, Wei Zhu, Jun Wen, Feng Ma, Liwen Guo   +4 more
doaj   +1 more source

Spectral Decompositions of Isometries oncp

Journal of Mathematical Analysis and Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karayannakis, Dimitri, Lambrou, Michael S., Magiropoulos, Manolis   +2 more
openaire   +1 more source

Gappy Spectral Proper Orthogonal Decomposition

SSRN Electronic Journal, 2022
Experimental spatio-temporal flow data often contain gaps or other types of undesired artifacts. To reconstruct flow data in the compromised or missing regions, a data completion method based on spectral proper orthogonal decomposition (SPOD) is developed.
Akhil Nekkanti, Oliver T. Schmidt
openaire   +2 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

Linear parameter-varying spectral decomposition [PDF]

2017 American Control Conference (ACC), 2017
We develop a linear parameter-varying (LPV) spectral decomposition method, based on least-squares estimation and kernel expansions. Statistical properties of the estimator are analyzed and verified in simulations. The method is linear in the parameters, applicable to both the analysis and modeling problems and is demonstrated on both simulated signals ...
Fredrik Bagge Carlson, Anders Robertsson, Rolf Johansson 0001   +2 more
openaire   +2 more sources

Improved EMD Using Doubly-Iterative Sifting and High Order Spline Interpolation [PDF]

, 2008
Empirical mode decomposition (EMD) is a signal analysis method which has received much attention lately due to its application in a number of fields. The main disadvantage of EMD is that it lacks a theoretical analysis and, therefore, our understanding ...
Yannis Kopsinis, McLaughlin, Stephen; id_orcid, Steve McLaughlin, Yannis Kopsinis, Kopsinis, Yannis   +4 more
core   +1 more source