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Thus, in the future, we plan to use methods with higher temporal resolution (EEG or MEG) in order to investigate interactions at a time scale closer to that of the neural processing itself and to explore the prediction that the predominant direction of influence shifts between the unpredictable beginning and the predictable continuation of each trial.
Future study should explore the prediction of rehabilitation outcome using larger sample sizes and longer follow-up periods.
We also explore the prediction of the crack initiation angle and achieve reasonable success with a simple criterion based on the maximum circumferential stress near the uncracked interface corner.
We explore the prediction of individuals' phenotypes for complex traits using genomic data.
We will also explore the prediction of emerging connections between concepts in addition to the prediction of strong connections.
To our knowledge this is the first study to explore the prediction of PTSD by risk score model among flood victims in a large population.
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The output consists of two components: (i) a Jmol applet to visualise and explore the predictions using the protein structures and (ii) a table listing HSPred scores for each interface amino acid.
Scientists use a variety of tools to gather observational data, explore the predictions of models and perform comparisons between them.
Because of the limited overlap, we used both resources to explore the predictions in terms of protein disease relationships and biological confidence with regard to grouping proteins within a binary metric distance (Audouze et al. 2010).
This study explores the prediction of temperature distribution in a heat sink containing an array of circular micro-channels, which is found mostly in electronic cooling applications.
Modelling approaches using the UK Ladybird Survey dataset have explored the prediction that melanic colour forms have a thermal regulatory advantage and consequently spread more rapidly than the non-melanic colour form (Purse et al., 2014).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com