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We developed an individual-based stochastic model of the phage life cycle and parameterized the model with empirical estimates of host and phage life cycle events.
Detached leaves or leaf segments are generally considered to yield reliable estimates of host resistance that correspond to those of whole plants (Nicot et al. 2002).
The interpretation of these results in a coevolutionary scenario of specialization largely depends on evidence supporting a genetic basis of cuckoo gentes on the one hand, and the appropriateness of our estimates of host density and heterogeneity in distribution on the other.
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Moreover, with better estimates of host-tree density, we may be able to combine our dispersal model with the disease transmission model developed by Yoshimura et al. [25].
This estimate of host density did not explain patterns of Plasmodium infection in the conspecific blue tits, Cyanistes caeruleus[ 1].
The ALC/AMC ratio at diagnosis, as a simple biomarker combining an estimate of host immune homeostasis and tumor microenvironment, was recently shown to be an independent prognostic indicator in HL [ 16, 17] and DLBCL [ 10], and combining the dichotomized ALC and AMC to generate the ALC/AMC prognostic score was also provided prognostic information independently of that included in the IPI [ 8, 9].
Absolute lymphocyte count/absolute monocyte count ratio (ALC/AMC ratio) at diagnosis, as a simple biomarker combining an estimate of host immune homeostasis and tumor microenvironment, was recently shown to be an independent prognostic indicator in HL [ 16, 17] and DLBCL [ 10, 11].
The probability that a mosquito biting a host of a particular age will become infected can be estimated using the above model together with estimates of the host gametocyte and asexual parasite density.
This lack of attack on P. napi oleracea is unexplained at present and suggests a need for better understanding of the influences present in laboratory tests that are able to affect estimates of parasitoid host ranges.
The costs of deploying the intervention on the Internet were calculated using the same estimates of staff, server hosting advertising, and technical support provided by Page et al. [ 44] for a web-based adherence intervention.
When sampling network data, an incomplete description of the population may arise leading to biased estimates of between-host connectivity.
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