State Assignment for PAL-based CPLDs

2005 ◽  
Author(s):  
R. Czerwinski ◽  
D. Kania
Keyword(s):  
State Assignment

Method for Obtaining Daedaleopsis confragosa K-1326 Extracts with Antitumor Activity

2019 ◽  
Vol 35 (1) ◽  
pp. 68-72
Author(s):  
T.V. Teplyakova ◽  
E.A. Vyazovaya ◽  
E.D. Danilenko
Keyword(s):  
Antitumor Activity ◽  
Cell Line ◽  
Carcinoma Cell ◽  
The State ◽  
Carcinoma Cell Line ◽  
Epidermoid Carcinoma ◽  
State Assignment ◽  
Therapeutic Drugs ◽  
Prevention And Treatment ◽  
Epidermoid Carcinoma Cell Line

A method for extraction and fractionation of proteins and polysaccharides from the biomass of the basidial fungus Daedaleopsis confragosa K-1326, having antitumor activity, shown on the epidermoid carcinoma cell line A431 and the cells of melanoma В16, has been developed. This method allows for reproducible production of series of preparations and can be used to obtain preparations from other basidiomycetes. The results obtained in this work show the promising prospects for the development and use of drugs from basidiomycetes for treatment of cancer. Basidiomycetes, Daedaleopsis confragosa, antitumor activity, fractionation, extraction The work was performed under the State Assignment «Development of preventive and therapeutic drugs based on basidiomycetes for the prevention and treatment of influenza with pandemic potential».

Community of Hydrocarbon-Oxidizing Bacteria in Petroleum Products on the example of Ts-1 Aviation Fuel and AI-95 Gasoline

2021 ◽  
Vol 37 (1) ◽  
pp. 54-68
Author(s):  
E.S. Lobakova ◽  
G.A. Dolnikova ◽  
E.A. Ivanova ◽  
D.A. Sanjieva ◽  
A.A. Burova ◽  
...  
Keyword(s):  
Rhodococcus Erythropolis ◽  
Basic Research ◽  
Petroleum Products ◽  
The State ◽  
Aviation Fuel ◽  
Bacterial Strains ◽  
16S Rrna Sequence ◽  
State Assignment ◽  
Microbial Biofilms ◽  
Microbial Potential

It has been shown that the studied petroleum products (kerosene and gasoline) contain microflocules of heterogeneous microbial biofilms, the cells of which are integrated into a polymer matrix containing acidic polysaccharides. Thirteen bacterial strains were microbiologically isolated from petroleum products, and their taxonomy was identified by the 16S rRNA sequence. Kerosene was characterized by a diverse bacterial composition including the following genera: Sphingobacterium, Alcaligenes, Rhodococcus and Deinococcus, while gasoline bacterial community included only two genera: Bacillus and Paenibacillus. Representatives of the Deinococcus genera capable of growing on the hydrocarbons were isolated from fuels for the first time. The strains isolated from gasoline (Bacillus safensis Bi13 and Bacillus sp. Bi14) proved to be the most effective biodegraders of all n-alkanes, isoalkanes, cycloalkanes, alkenes and aromatic hydrocarbons, whereas the kerosene strain Rhodococcus erythropolis Bi6 effectively decomposed n-alkanes and trimethylbenzene. Both types of petroleum products contained hydrocarbon-oxidizing communities, some members of which were more active in the biodegradation of hydrocarbons, while others were capable of producing biosurfactants and had either emulsifying activity (Deinococcus sp. Bi7) or cell wall hydrophobicity (Sphingobacterium sp. Bi5 from kerosene; Bacillus pumilus Bi12 from gasoline) significantly higher than the average level. The indicated properties of the studied strains make them promising for use in bioremediation. biodegradation, petroleum products, hydrocarbon-oxidizing bacteria, bio-surfactants The work was carried out within the framework of the state assignment of the Ministry of Science and Higher Education of the Russian Federation (topic no. 10.5422.2017/8.9.). Investigation of microbial potential in the use hydrocarbons was supported by the Russian Foundation for Basic Research (RFBR), contract no. 18-29-05067. Physicochemical research was performed within the framework of the state assignment to the TIPS RAS

scholarly journals Pioneer: A New Tool for Coding of Multi-Level Finite State Machines Based on Evolution Programming

VLSI Design ◽  
1994 ◽  
Vol 2 (2) ◽  
pp. 105-116
Author(s):  
S. Muddappa ◽  
R. Z. Makki ◽  
Z. Michalewicz ◽  
S. Isukapalli
Keyword(s):  
Finite State Machines ◽  
Mutation Rates ◽  
Natural Phenomenon ◽  
State Machines ◽  
State Assignment ◽  
Wide Range ◽  
Finite State ◽  
Multi Level ◽  
Crossover And Mutation ◽  
Evolution Programs

In this paper we present a new tool for the encoding of multi-level finite state machines based on the concept of evolution programming. Evolution programs are stochastic adaptive algorithms, based on the paradigm of genetic algorithms whose search methods model some natural phenomenon: genetic inheritance and Darwinian strife for survival. Crossover and mutation rates were tailored to the state assignment problem experimentally. We present results over a wide range of MCNC benchmarks which demonstrate the effectiveness of the new tool. The results show that evolution programs can be effectively applied to state assignment.

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