Sentence examples for transmission variability from inspiring English sources

Little evidence exists for high transmission variability from these or other locally acquired or medically evacuated Ebola cases.

(A ) Model with both pre- and postsynaptic plasticity reduces synaptic transmission variability with dynamic synapses (top, red line), while postsynaptic plasticity alone increases variability (bottom, blue line).

The worst-case risk reduction is greatest under the assumption of high transmission variability (k = 0.1); the 0.01% worst-case outbreak size is reduced from 239 total transmissions to 4% or 10 total transmissions when both intervention assumptions are applied.

Results showed that, even in countries that can quickly limit expected number of transmissions per case to <1, the probability that a single introduction will lead to a substantial number of transmissions is not negligible, particularly if transmission variability is high.

For example, in our scenario of a single unidentified traveler's Ebola introduction with R0 = 3 and subsequent cases transmitting with Rc = 0.3 and with moderate transmission variability (k = 1), our model estimates a 50% chance of >2 transmissions occurring after a single introduction.

Diversified conditions of recording (equipment, environment, transmission channel variability, and distance from the speaker to microphone) determined whether the signal contained events of our interest (e.g., recordings with low SNR or too big distance from mouth to microphone do not contain information on breath pauses).

Vegetable viruses display one or more features to ensure their success as parasites: high variability; transmission from host to host by specific vectors; transmission through seeds and pollen; high stability of virus particles for long persistence in the environment and mechanical transmission by man; and presence in plant parts used for vegetative propagation.

Variability in transmission was calculated assuming no variability in the postsynaptic response to a quantal release event as (5) C V s i n g l e = 1 − Pr N * Pr where N is the number of release sites/active zones at a single ribbon synapse.

Noise is a fundamental constraint to information transmission, and such variability is inherent in individual neurons in the nervous system.

Laboratory spinal biomechanical tests using human cadaveric or animal spines have limitations in terms of disease transmission, high sample variability, decay and fatigue during extended testing protocols.

However, immunogenicity, disease transmission, and wide variability are all potential drawbacks for decellularized ECM products to be applied as a reliable therapeutic device.