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We applied connectivity methodologies based on morphological spatial pattern analysis (MSPA) and the probability of connectivity (PC).
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While in vivo magnetic resonance imaging studies have provided important insights into anatomical and functional connectivity, these methodologies are limited in their ability to detect electrophysiological activity and the causal relationships that underlie effective connectivity.
In the appendix, an example of developing physical connectivity evaluation methodology for underground spaces is illustrated, to show the possibility of calculating the physical connectivity that may provide input for underground space layout design and optimisation.
In contrast with container shipping, RoRo shipments are primarily direct, thus the measurement of its connectivity requires a different methodology.
Connectivity map data and associated methodologies have become a valuable tool in understanding drug mechanism of action (MOA) and discovering new indications for drugs.
The proposed methodology for the connectivity robustness calculation in CONROB accounts for the Link Expiration Time (LET) and the Route Expiration Time (RET) that are reflected in the stability of links between each two adjacent vehicles and the expiration time of communication routes between vehicles.
Following this, we develop our RoRo connectivity indicator in Section 'A methodology to calculate a port's RoRo connectivity'.
With the aim of helping to decipher this higher order connectivity we propose a new methodology for gleaning patterns of interaction between biological processes, manifested by a significantly enriched web of protein-protein interactions, transcriptional coordination or genetic interactions.
Our methodology for measuring connectivity implements a novel framework, TBR (Schultz et al., 2014), which applies an a priori network parcellation from a reference dataset to the dataset of interest.
Furthermore, hydraulic models outperform equilibrium flood mapping methodologies which ignore hydraulic connectivity and are strongly biased towards over-prediction of flood extent.
We present a spatial habitat modelling methodology for evaluating the contribution and potential contribution of connecting paths to landscape connectivity.
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