The psychopharmacological effects of a saponin-rich fraction (SFG) obtained from crude methanolic extract of Ficus platyphylla stem bark were studied on spontaneous motor activity (SMA), pentobarbitalinduced sleep, motor coordination, amphetamine-induced hyperactivity and stereotyped behaviour, catalepsy, forced swim and tail suspension tests in rodents. SFG reduced SMA dose dependently, suggesting that it may contain psychoactive principles with sedative effects. The fraction shortened the onset and prolonged the duration of pentobarbital-induced sleep, which confirmed its sedative properties. The fraction diminished immobility time in forced swim and tail suspension tests, which is indicative of antidepressant properties. It attenuated amphetamine-induced hyperactivity and stereotyped behaviour, induced catalepsy and exacerbated haloperidol-induced catalepsy in rodents, but had no effect on motor coordination in the treadmill experiment at the doses tested. These effects were similar to those of classical neuroleptics and antidepressants. Our study provides scientific evidence of psychopharmacological effects of the saponin fraction of Ficus platyphylla stem bark and therefore supports further development of its psychoactive components as antipsychotics and antidepressants.
ABSTRACTIn this study, an oil In this study, an oil In this study, an oil In this study, an oil----fired boiler system is modeled as a multivariable plant with fired boiler system is modeled as a multivariable plant with fired boiler system is modeled as a multivariable plant with fired boiler system is modeled as a multivariable plant with fired flow rate) and two outputs (steam temperature and pressure). The plant parameters are mod fired flow rate) and two outputs (steam temperature and pressure). The plant parameters are mod fired flow rate) and two outputs (steam temperature and pressure). The plant parameters are mod fired flow rate) and two outputs (steam temperature and pressure). The plant parameters are mod artificial neural network, based on experimental data col artificial neural network, based on experimental data col artificial neural network, based on experimental data col artificial neural network, based on experimental data col forward neural network with Hyperbolic tangent sigmoid transfer function (Tansigmoid) and line forward neural network with Hyperbolic tangent sigmoid transfer function (Tansigmoid) and line forward neural network with Hyperbolic tangent sigmoid transfer function (Tansigmoid) and line forward neural network with Hyperbolic tangent sigmoid transfer function (Tansigmoid) and line neurons (Purelin) are neurons (Purelin) are neurons (Purelin) are neurons (Purelin) are used at the hidden used at the hidden used at the hidden used at the hidden network model is network model is network model is network model is then trained off then trained off then trained off then trained off----l l l line with Levenberg ine with Levenberg ine with Levenberg ine with Levenberg neural network model when neural network model when neural network model when neural network model when subjected to test, u subjected to test, u subjected to test, u subjected to test, u outputs for both temperature and pressure agree closely with the actual plan outputs for both temperature and pressure agree closely with the actual plan outputs for both temperature and pressure agree closely with the actual plan outputs for both temperature and pressure agree closely with the actual plan 0.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.