Results 241 to 250 of about 697,287 (294)

Mammalian synthetic gene circuits for biopharmaceutical development & manufacture. [PDF]

NPJ Syst Biol Appl
Lim SLY, Gialamoidou S, Kaur R, Jimenez Del Val I.   +3 more
europepmc   +1 more source

Chemical synthesis of glycan motifs from the antitumor agent PI-88 through an orthogonal one-pot glycosylation strategy. [PDF]

Beilstein J Org Chem
Yang S, Sun X, Fan H, Xiao G.
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Relay networks with orthogonal components

2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008
In this paper, we consider a class of relay networks with orthogonal components. We assume transmitted signals at a node to its neighbor nodes are orthogonal, e.g., using frequency division multiplexing (FDM). We first consider a simple discrete memoryless network where there is a source, a destination, and two parallel relays between them.
Wooseok Nam, Sae-Young Chung
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Orthogonal Components of Reported Male Sexual Behavior

Psychological Reports, 1977
In constructing an inventory that would yield a general measure of sexual performance and sexual interest, responses of 101 male paid volunteers were subjected to a principal component analysis. No general factor of sexual activity was found. Instead the results indicated that various components of sexual performance occur independently.
D P, Corriveau, W A, Brown, P M, Monti
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FET parameter orthogonalization with principal components

1994 IEEE MTT-S International Microwave Symposium Digest (Cat. No.94CH3389-4), 2002
A new method for representing the statistical variation of FET Equivalent Circuit Parameters (ECPs) is presented. This method utilizes a statistical technique known as principal components and provides an efficient method for statistically representing the means, standard deviations, and correlations of the FET ECPs.
J. Carroll, K. Whelan, S. Pritchett, D. Bridges   +3 more
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Orthogonal rotation of complex principal components

International Journal of Climatology, 1994
AbstractComplex principal components analysis has been shown to be a useful tool for exhibiting propagating features in spatial‐temporal data sets. As in other applications of principal components analysis, rotation may lead to more interpretable components.
Peter Bloomfield, Jerry M. Davis
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Construction of component orthogonal arrays with any number of components

Journal of Statistical Planning and Inference, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Principal Components Analysis and Orthogonal Projection

2022
_ Okamoto(2006) (see the file okamoto_2006.pdf in the Files box below) explains principal components analysis (PCA) from the point of view of orthogonal projection. Choice of the bases in the projected space is arbitrary, that is, rotation of the basis is allowed. Deisenroth et al. (2006) also explains PCA in terms of an orthonormal projection.
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