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Replicates, in experimental

Mortreux F, Kazanji M, Gabet AS, de Thoisy B, Wattel E (2001) Two-step nature of human T-cell leukemia virus type 1 replication in experimentally infected squirrel monkeys (Saimiri sciureus). J Virol 75 1083-1089. [Pg.324]

The multiple levels of replication in experimental design (experimental design). [Pg.203]

Four billion years ago, the Earth s thin crust consisted of geochemicals (i.e., compounds containing the elements Si, O, Al, Fe, Mg, Ca, K and Na, as well as traces of other elements). Thus, some biogenesis researchers believed that the first replicating material consisted of geochemical material rather than substances containing carbon and other bioelements. Clay minerals in particular were included in experimental and theoretical studies. The most important are kaolinite and montmorillonite the latter was, and still is, used in many experiments carried out to simulate prebiotic reactions. [Pg.181]

Brouillet, E., Conde, F., Beal, M. F. and Hantraye, P. Replicating Huntington s disease phenotype in experimental animals. Prog. Neurobiol. 59 427-468,1999. [Pg.778]

Peripheral pathogenesis involves the lymphoreticular system. Although the pathological consequences of prion infection occur in the central nervous system, and experimental transmission of these diseases is most efficiently accomplished by intracerebral inoculation, most natural infections do not occur by these means. Indeed, administration to sites other than the central nervous system is known to be associated with much longer incubation periods, which may extend to 20 years or more [5,12]. Experimental evidence suggests that this latent period is associated with clinically silent prion replication in... [Pg.794]

As far as Hopkins Nobel Prize is concerned, he deserved it even though his experimental "proofs" could not be replicated in a consistent fashion. He deserved the prize for one reason above all others persistence in promulgating an idea. At a time when the energy doctrine controlled nutrition, Hopkins was questioning its absolute validity. And while he was not the first to do so, he was the only one of the early questioners to proclaim his beliefs in print and to persist in a search for the elusive accessory growth factors, a search that required not only experimental work of his own but also a commitment to urge and train others to follow in his footsteps. [Pg.94]

We will also assume that we have a prior estimate of for the system under investigation and that the variance is homoscedastic (see Section 3.3). Our reason for assuming the availability of an estimate of is to obviate the need for replication in the experimental design so that the effect of the location of the experiments in factor space can be discussed by itself. [Pg.119]

If we assume the model y, = 0 + r, , the data and uncertainties are as shown in Figure 8.1. We can test this model for lack of fit because there is replication in the experimental design which allows an estimate of the purely experimental uncertainty (with two degrees of freedom). [Pg.131]

Because four parameters were estimated from data obtained at four factor combinations, there are no degrees of freedom for lack of fit further, there was no replication in this example, so there are no degrees of freedom for purely experimental uncertainty. Thus, there can be no degrees of freedom for residuals, and the estimated model will appear to fit the data perfectly . This is verified by estimating the responses using the fitted model parameters. [Pg.238]

As with TMS, we emphasize that VNS is still in the experimental stage, but preliminary positive results warrant further controlled studies to attempt replication in selected treatment resistant depression patients. [Pg.179]

Fractional replicates of experimental designs in which all factors are at the same number of levels can be partially replicated in fractions whose denominators are multiples of the number of levels. These designs are the so-called Latin square designs. [Pg.89]

Lead will also cause cancers in the kidney and lung in experimental animals. Furthermore, in humans exposed to lead similar tumors have been detected in epidemiological studies. Although the mechanism is not known, it is known that lead interferes with calcium-dependent protein kinases. The activation of PKC-mediated pathways leads to increased DNA synthesis. Thus, lead can cause increased cell replication and, so, hyperplasia. This may underlie the carcinogenicity. Lead may also act as a tumor promoter. [Pg.392]

In general, plenty of experimental results are available to allow comparisons with calculated adsorption energies, although in some cases the systems being simulated cannot be replicated in an experimental laboratory. Experimental information regarding siting is rather more scarce. [Pg.84]

We say that the variation in experimental data is normally distributed when replicate measurements exhibit the belt-shaped distribution in Figure 4-1. It is equally probable ihat a measurement will be higher or lower than the mean. The probability of observing any value decreases as its distance from the mean increases. [Pg.53]

Both avarol and avarone inhibit replication of the ethiological agent of acquired immuno-deficiency syndrome (AIDS) [77], Additionally, avarol and avarone effectively control acute inflammation in experimental models after either oral or topical administration. Their anti-inflammatory activity may result from inhibition of eicosanoid release and depression of superoxide generation in leukocytes [78], Several studies reviewed the structures and bioactivity of compounds related to avarone as an antihuman immuno-deficiency virus (HIV), antitopoisomerase II activity and as proteinkinase C (PKC) inhibitors [3, 79],... [Pg.693]

It should be noted that the number of measurement replications in the matrix of design of completely randomized blocks is marked by K. A distinction should also be made between mean squares for measurement error + experimental error and measurement error. Often this sum of measurement and experimental errors is just called experimental error, and measurement error sampling error. To check significance of the factor effect, the mean square of joint error or experimental error MSCR is used. [Pg.230]


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Experimental replication

In experimentation

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