Modelling methods are now well established in physical, biomedical and engineering sciences; and are widely used in assisting the interpretation of experimental data and increasingly in a predictive mode. Applications to inorganic materials are widespread, and indeed, such methods now play a major role in modelling structures, properties and reactivities of these materials.
The publications included in the review reported chemical analyses on 100 distinct
foodstuffs and presented data on 455 nutrients and other substances. Statistical analysis
by foodstuff was impractical given the large array of different foods (and cultivars/breeds)
presented in included publications. The review team therefore decided to facilitate
analysis and interpretation of the available information by categorising the nutrients and
other substances reported into nutrient groups or “families”. ...
The paper presents a new model for contextdependent interpretation of linguistic expressions about spatial proximity between objects in a natural scene. The paper discusses novel psycholinguistic experimental data that tests and veriﬁes the model. The model has been implemented, and enables a conversational robot to identify objects in a scene through topological spatial relations (e.g. “X near Y”). The model can help motivate the choice between topological and projective prepositions.