We compared anti-inflammatory activity of individual diterpene alkaloids isolated from Aconitum baikalense (napelline, songorine, hypaconitine, mesaconitine, 12-epinapelline N-oxide) under conditions of acute inflammation of different genesis. The tested substances showed high antiexudative activity comparable with that of sodium diclofenac. Unlike nonsteroidal anti-inflammatory drugs, diterpene alkaloids exerted no ulcerogenic effect.

Repeated administration of songorine to mice restored mnestic processes impaired by scopolamine treatment, which manifested in improvement of CPAR conditioning and normalization of behavioral activity throughtout the observation period. This thearpeutical effect surpassed that of pyracetam used as the reference drug.

The effects of complex extract from Aconitum baikalense on reparative regeneration of a plane dorsal skin wound were studied. Treatment with Aconitum baikalense tincture stimulated reparation and skin regeneration. The effects of the Aconitum baikalense alkaloids on functional activity of fibroblast precursors were studied in vitro by cultural methods. Mesaconitine, hypaconitine, songorine, napelline, and 12-epinapelline N-oxide significantly stimulated the growth of colonies from fibroblast precursors. This indicated direct stimulation of fibroblasts by aconite alkaloids, which could be a mechanism of reparative activity of the complex extract.

The study reviews approaches to macro-economic and macro-territorial modelling presented in international and Russian economic publications. We focus on opportunities to improve forecasting the development of economic system in Russia at the macro-economic, inter-sectoral and inter-regional levels. We described dynamic macro-economic, inter-sectoral and inter- regional models developed in the Institute of Economics and Industrial Engineering of the Siberian Branch of the Russian Academy of Sciences (IEIE SB RAS). We analyse more in details three complex models proposed in IEIE SB RAS: CAISI (comprehensive analysis of inter-sectoral information), SRNES (synthesis of regional and national economic systems) and CSNES (coordination of sectoral and national economic solutions). We consider theoretical foundations of the complex models and their application in analysing and forecasting economic system development at various levels. The three complex models are based on different basic models that influence their development. IEIE SB RAS has been developing a two-level system of forecasting models, which combines advantages of dynamic stochastic general equilibrium models and dynamic input-output models applied in the CAISI system. The paper describes theoretical foundations of the SRNES system, whose latest versions are premised on the general equilibrium and cooperative games theories. Then, we characterised the most developed elements of the complex model CSNES, which has the CSNES-TEK subsystem used in forecasting developments in the fuel and energy industry of Russia’s territories and SIBARP (balance calculation system for the future). The conclusion outlines directions for further research on improving the methods of macro-economic, inter-regional, and inter-sectoral forecasting based on harmonisation of analytical and forecast calculations performed using the CAISI, SRNES and CSNES systems. The results of forecast calculations using the two-level system of macro-level models can be applied in the complex models SRNES and CSNES to ensure coordination between the forecasts of socio-economic development of the Asian part of Russia and projected dynamics of macro-indicators.