Exact(1)
This is the first known assessment of perceptions regarding a spatial repellent and/or contact irritant vector control strategy designed for implementation at the house level.
Similar(59)
When inference regards a finite spatial pattern, a model-based framework is commonly used, even if the problem of model misspecification may occur.
Through an online survey, 261 residents from wildfire prone areas in Western Australia were asked to view multidimensional spatial information regarding a simulated wildfire scenario presented as either text messages or maps, and were subsequently queried for their comprehension, their risk perceptions, and the attractiveness of the presentation format.
For generating a reliable spatial information regarding a natural hazard, remote sensing data and the geographic information system (GIS) are very powerful tools (Tofani et al. 2013).
Forest areas are often regarded as a spatial reserve for present and future urbanisation needs, while at the same time they often represent the last remnant of natural environment.
The two-dimensional Toda lattice, which can be regarded as a spatial discretization of the KP equation, takes the following form: frac{partial^{2}}{partial x partial s} ln(V_{n}+1)=V_{n}1}+V_{n-1}-2V _{n}, (1) where (V_{n}) denotes (V(n,x,x)).
The trajectory of the fly, regarded as a spatial stochastic process x t), would be fully characterized if the joint distributions P(x t1),x t2),..,x tn)) were specified for all choices of time points (t1,t2,..,tn).
Finally, it may be of interest to explore to what extent spatial attention and working memory are conceptually related (whereby top-down spatial attention is regarded as a spatial working memory signal), and to explore how these are related in terms of their dependence on cholinergic and NMDA mechanisms.
We did not assess the degree of motion artefacts within a volume but one could assume minor degradation of image quality in particular regarding spatial resolution and spatial accuracy.
Interestingly, the high-order DAC algorithm can be regarded as a spatial-temporal processing technique, where nodes in the network represent the spatial advantage, the high-order processing represents the temporal advantage, and the optimal convergence rate can be viewed as the diversity gain.
In such cases, an illustrative plot of impact curve and neutral line can hardly help to draw a conclusion regarding the spatial vulnerability of a network system.
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