Sentence examples for and minimizing the expression from inspiring English sources

Exact(1)

There are two organized insecure attachment patterns; infants avoiding contact or interaction with the caregiver upon reunion and minimizing the expression of negative emotions under stress are termed avoidantly attached (A), whilst infants expressing intense negative emotions and wanting contact, but unable to settle following the separations are classified as resistantly attached (C).

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In response to various stimuli, TAMs release diverse soluble factors that impinge on ovarian cancer cells and resident host cells while minimizing the expression of essential anticancer factors such as IL-12.

Further, we propose guidelines and a double selection strategy for minimizing the expression biases, without loss of information.

These figures show both the AMMSEs of the asymptotically optimal HDA systems (labeled analytical) obtained by minimizing the expression (18) with respect to ρ and θ o, as well as the experimental AMMSE of actual HDA-PQ and HDA-TC systems which use these (ρ,θ o ) values.

Indeed, the problem formulation is an iterative process that starts by choosing an initial guess for the path-loss exponents, and whose values will be modified iteratively with the aim of minimizing the expression (5).

We can find the optimal smoothing parameter by minimizing the expression of (C.17) with respect to h.

The optimal smoothing parameter is selected so that minimizing the expression of (D.5) with respect to h.

In summary, our data show that Nef and Vpu exert opposing effects on NF-κB activity and tightly regulate the activation of this transcription factor to ensure efficient viral transcription while minimizing the expression of antiviral genes.

Although noise-propagation is a plausible explanation for the general association between noise and regulation, its effects are detrimental to the accuracy of expression regulation, and one might thus expect natural selection to have acted to minimize its effects, for example, by minimizing the expression fluctuations in regulators.

We learn about the function f(x) by minimizing the expression λ ∑ i = 1 n L (y i − f (x i ) ) + 1 2 ‖ w ‖ 2. L denotes the loss function that measures the quality of the estimation.

The components of the spectra for scans between the first and last measured scans were then determined by numerically finding the values of βsub and βamc that minimize the expression in Eq. (3).

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