Toxicological Characteristics Of N-Deacetyllappaconitine Under Chronic Administration In White Rats

In chronic experiments in laboratory animals, studied toxicological perspective new antiarrhythmic effect of N-deacetyllappaconitine for the treatment of arrhythmic states, an original herbal preparation based on Aconitum leucostonum, Ac.Septentrionale was created. During 2,5 months of intragastric administration in animals exposed to all doses of N-deacetyllappaconitine, no deviations in the parameters of the functioning of the nervous system were found, therefore, this value is the lowest effective (threshold) dose in a chronic experiment.

Using the Method of Phyto-testing to Determine the Hazard Class of Waste

The application of the method of phyto-testing to determine the hazard class of the waste (waste activated sludge from sludge beds, sawdust from natural acacia wood, beer malt spent, fresh chicken dung, sunflower husk), subjected to storage for several months. The values of the minimum effective (threshold) dilution, which has the effect of inhibiting root growth by 20 %, and the values of medium-effective dilution, inhibiting growth by 50 % compared to distilled water were determined. For sunflower husk and beer malt spent, a contradiction was established between the approved hazard class according to the FCCW and a certain hazard class according to the method of MP 2.1.7.2297-07, which indicates a change in the chemical composition of the waste that has been stored for a long period of time.

Giant reduction of the random lasing threshold in CH3NH3PbBr3 perovskite thin films by using a patterned sapphire substrate

Effective threshold reduction in a CH3NH3PbBr3 perovskite random laser due to multireflection processes at the perovskite/PSS interface.

Controllable Effective Threshold Based Fusion Coverage Algorithm in Mobile Sensor Networks

The coverage quality and network lifetime are two key parameters in the research of sensor networks. The coverage quality shows direct influences on the network lifetime. Meanwhile, it is influenced by many other factors such as physical parameters and environmental parameters. To reveal the connection between the coverage quality and the parameters of target node concerned, a fusion coverage algorithm with controllable effective threshold is proposed based on the sensing probability model. We give the model for the membership function of coverage intensity as well as the prediction model for the fusion operator. The range for the effective threshold is presented according to the membership function model. Meanwhile, the maximum of the effective coverage intensity for the target nodes within the monitoring area is derived. The derivation of the maximal fusion coverage intensity is elaborated utilizing a processing function on the distances from the target node to the ones in the sensor node set. Furthermore, we investigate different network properties within the monitoring area such as network coverage quality, the dynamic change of parameters, and the network lifetime, based on the probability theory and the geometric theory. Finally, we present numerical simulations to verify the performances of our algorithm. It is shown under different settings that, compared with the demand coverage quality, the proposed algorithm could improve the network coverage quality by 15.66% on average. The simulation experiment results show that our proposed algorithm has an average improvement by 10.12% and 13.23% in terms of the performances on network coverage quality and network lifetime, respectively. The research results are enlightening to the edge coverage and nonlinear coverage problems within the monitoring area.