Latent homology

At this point it should be remarked that multivariate regression with latent variables is a useful tool for describing the relationship between complex processes and/or features in the environment. A specific example is the prediction of the relationship between the hydrocarbon profile in samples of airborne particulate matter and other variables, e.g. extractable organic material, carbon preference index of the n-alkane homologous series, and particularly mutagenicity. The predictive power was between 68% and 81% [ARMANINO et al., 1993]. VONG [1993] describes a similar example in which the method of PLS regression was used to compare rainwater data with different emission source profiles. 

Synthesis of aldehydes and ketones. This substance can function as a protected cyanohydrin of formaldehyde in an extension of Stork and Maldonado s synthesis of ketones from aldehydes, RCHO —> RCOR, by way of cyanohydrins (4, 300-301). Thus the anion of 1, generated with LDA, does not undergo self-condensation, but can be alkylated the product on hydrolysis gives the homologous aldehyde of the alkyl halide. Thus the reagent serves as the latent anion of formaldehyde, HC=0. An example is shown in equation (I). 

The EBV-encoded Bcl-2 homologs are expressed during lytic replication but usually not under latent conditions. Also, an EBV deletion mutant lacking the Bcl-2 homolog BHRF-1 was able to transform B cells in vitro (Marchini et al. 1991). However, the survival of EBV-transformed B cells is critically dependent on the antiapoptotic activity of NF-kB (Cahir-McFarland et al. 2000). EBV seems to use antiapoptotic genes mainly during lytic replication but utilizes cellular antiapoptotic pathways to ensure survival of the transformed lymphoblastoid cells. 

Poly(butylene terephthalate), PBT, is the next member of the homologous series of polyterephthalates with its thermodynamic properties listed in Fig. 6.40. Figine 6.45 presents the crystallinity for a semicrystalline, melt-crystallized PBT sample, calculated with the method of Fig. 4.80, Eq. (3). Below the glass transition, the crystallinity reaches 36.2%. With this crystallinity function, the expected heat capacity without latent heat effects is given in Fig. 6.46. 

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