Results 71 to 80 of about 258,672 (295)
CardiacModelling/model-reduction-manifold-boundaries: Published version
, 2022 Scripts and data for ion channel model reduction using the manifold boundary approximation method (MBAM) and parameter inference using Myokit and PINTS modules in Python.
Gary Mirams +2 more
core +1 more source
Investigation of MHD flow balancing in electrically conductive manifolds of liquid metal blankets
Nuclear FusionIn the liquid metal (LM) blanket design for magnetic confinement fusion reactors, manifolds including main and branch ducts are commonly used to direct fluids to various locations of the blanket to cool its components.
Xinting Lv, Xiujie Zhang
doaj +1 more source
Cutting and pasting of manifolds into $G$-manifolds
Kodai Mathematical Journal, 2003 Let \(G\) be a finite Abelian group of odd order. If \(M\) is a manifold with \(G\)-action, one has submanifolds \(M^H\) of \(M\) given by the fixed sets of subgroups \(H\) of \(G\). Being given \(M\) and a collection of submanifolds \(M^H\) of \(M\), the author shows that \(M\) with its submanifolds is cut and paste equivalent to a \(G\)-action ...
openaire +2 more sources
Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA
FEBS Open Bio, EarlyView.PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro +1 more
wiley +1 more source
Learning on manifolds without manifold learning
Neural NetworksFunction approximation based on data drawn randomly from an unknown distribution is an important problem in machine learning. The manifold hypothesis assumes that the data is sampled from an unknown submanifold of a high dimensional Euclidean space.
Hrushikesh N. Mhaskar, Ryan O'Dowd
openaire +4 more sources
Evolution‐guided yeast complementation reveals functional differences in human PSPH variants
FEBS Open Bio, EarlyView.Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez +6 more
wiley +1 more source
Evolution paths on the equilibrium manifold [PDF]
In a pure exchange smooth economy with fixed total resources, we de- fine the length between two regular equilibria belonging to the equilibrium manifold as the number of intersection points of the evolution path connecting them with the set of critical ...
Andrea, Loi, Stefano, Matta
core
The effect of flow variations to vibration tendency in a hydraulic manifold [PDF]
, 2020 A hydraulic manifold is an important component in hydraulic machinery to convey hydraulic oil under high pressure into hydraulic tube and hose for cleaning purpose.
Osman, Kahar +3 more
core +1 more source
Dual native G‐quadruplex folding is associated with chromatin looping at the MYC locus
FEBS Open Bio, EarlyView.BG4‐detectable G‐quadruplex (G4) in HaCaT and NHEK keratinocytes identified folded and unfolded G4s enriched at promoters/TSSs and active enhancers, whereas unfolded G4s also overlapped weak/poised enhancers. At MYC–PVT1, 3C‐qPCR detected enhancer–promoter looping only when G4s were simultaneously folded at both regulatory elements under native ...
Dieila Giomo de Lima +7 more
wiley +1 more source
Regional Patch-Based Feature Interpolation Method for Effective Regularization
IEEE Access, 2020 Deep Convolutional Neural Networks (CNNs) can be overly dependent on training data, causing a generalization problem in which trained models may not predict real-world datasets.
Soojin Jang +3 more
doaj +1 more source