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Different types of functional asymmetries, which form individual laterality profiles, were compared with the use of a battery of sensorimotor and cognitive laterality tests (TOPOS), the Benziger thinking style assessment (BTSA) test, the Cattell 17PF test, and psychosemantic multidimensional scaling. The proportion of men was shown to be higher among individuals with the left-side, symmetrical, and intersecting motor laterality profiles. Men with a dominant left leg or without asymmetry in the profile were more frequent than women, whereas women prevailed among persons with a dominant left eye. Different laterality profiles were obtained for different factors of the Cattell test. Comparison of the sensorimotor laterality and the BTSA data showed that more than half of persons with the left-hemispheric sensorimotor profile prefer right-hemispheric cognitive strategies. The results suggest that lateralities of different types may be nonuniform.

The astonomical consequences of recently developed theoretical methods of relativistic astrometry are discussed. The set of practically important reference systems is described. These reference systems generalize the locally inertial frames of general relativistic test observer, the hierarchy of Jacoby coordinates for dynamical problems and the dynamically inertial reference systems of fundamental astrometry. In practical application of this formalism much attention is paid for relativistic transformation functions relating the ∗∗ecliptical coordinates corresponding to the baryecnters of the Solar system, the Earth-Moon subsystem and the Earth. Solutions to several kinds of relativistic precession are also presented.

A formal representation of an expert's world model is described, which covers not only the domain ontology, but also the relationships of similarity between its entities. Similarities are formally treated in the framework of pretopological, topological and metric spaces, where an actually achievable grade of metricity of similarity relationships is determined experimentally. An automated inference under uncertainty in the proposed model is based on the internal logic of a (pre)sheaf, where the base category is the formal domain ontology (a "field of knowledge"), which ordinary skeleton of entities and relationships is embedded into a (pre)topological structure, formed by the subjectively significant, for the expert, "regions of evidence", where the decision process is "intuitively obvious" and formalized with the lattice of conceptual similarities of the corresponding local neighbourhoods in his/her world model.

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