April 30, Daily science and technology trend

  • 2021-04-30
  • 218

1. The prototype of the first Russian hybrid aircraft, the Electrolet SU 2020, is preparing for takeoff. The day before, an electric generator for an electric plane from the Ufa State Aviation University has successfully passed a cycle of tests on the ground and is ready for further tests in the air.



2. On behalf of the Presidium of the Russian Academy of Sciences, in the spring of 2021, the Institute of Psychology of the Russian Academy of Sciences and the sociological group ZIRKON monitored the attitude of Russian society to science and the Russian Academy of Sciences. The results of a telephone survey on a nationwide sample(the number of respondents is 1600, the error does not exceed 3.6%), conducted on April 11-17, 2021, indicate a high interest of Russians in science.



3. Russian chemists, together with colleagues from Germany, proposed a new concept for carrying out chemical reactions, according to which one and the same substance can act as a solvent, catalyst and reagent. After synthesis, this triple-use substance can be regenerated and reused.



4. Scientists from the Institute of Catalysis of the SB RAS are investigating a method for producing hydrogen and ethylene from natural gas using a nanodispersed catalyst and laser radiation. Now, with the support of the Russian Science Foundation, they are creating a computational model of the method, which is necessary for scaling the technology from the laboratory level to the experimental and demonstration level. According to the leading researcher of the institute, Ph.D. Valeria Snytnikova, the cost of the products obtained is several times higher than the cost of natural gas, which is important for the economy.



5. An international team of scientists has developed an algorithm that finds the narrowing of the heart's blood vessels in diagnostic images. In 94 percent of cases, the model correctly identifies problem areas in the picture in real time. This will help cardiologists to automatically identify areas of lesions in coronary heart disease patients during coronary angiography.



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