Each entry in the LUT reflects a unique combination of land cover, seasonality, terrain information, disturbance age and type, and Landsat optical spectral bands.
Based on the signaling game theory, the paper analyzes the main electricity bidding mechanisms in the electricity auction markets and considers the degree of information disturbance as an important factor for evaluating bidding mechanisms.
Patients also displayed an enhanced frontally distributed activity in the explicit task that may represent an impairment in the integration of intrinsic contextual information, a disturbance in the ability to inhibit proactive interference or a combination of both processes.
Disturbance of the vegetated land surface, due to factors such as fire, insect infestation, windthrow and harvesting, is a fundamental driver of the composition forested landscapes with information on disturbance providing critical insights into species composition, vegetation condition and structure.
On a different view, the lack of enactment effect on the Free Recall task, reported here in individuals with AS, might reflect an inability to access self-relevant information, a disturbance that has been related to a ToM deficit, i.e., the ability to represent others' and one's own intentions, beliefs and experiences [51], [52].
Our results provide quantitative information on disturbances of this extent and magnitude and can be used to guide silvicultural systems designed to emulate natural disturbance processes, which is an increasingly popular management approach especially on public lands.
Model-based controllers are equipped with an integrated control model and utilize information about disturbances that act on the process.
In terms of a certain invariant manifold, an approximate output regulation design without the need of derivative information of disturbances is proposed.
Tracing of cell cycle kinetics, apoptosis, protein content, and mitochondrial respiration provides additional information on disturbances of cytologic processes.
By exploiting the structural information about the disturbance space-time covariance matrix, we model the disturbance signal as a multichannel AR process to ease the training and computational burdens.
In addition, by using a lifting technique and the probabilistic information on additive disturbances, measurement noise and the state estimation error, a set of deterministic constraints is constructed for the predictions of nominal models.
