1,504 research outputs found
The stabilization of unstable detonation waves for the mixture of nitromethane/methanol
Mass velocity profiles of detonation waves in mixtures of nitromethane with acetone and methanol with added diethylenetriamine sensitizer were measured using a VISAR laser interferometer. It was found that even small, about 1%, concentrations of acetone and methanol, inert diluents, led to instability of the one-dimensional detonation front in nitromethane. The results of the experiment show that the use of the sensitizer is an effective method of flow stabilization and if the concentration of the inert diluent does not exceed 10%, the detonation front becomes stable with the addition of 1% diethylenetriamine. At a higher diluent concentration, the sensitizer does not suppress the instability but decreases the oscillation amplitude by several times. The addition of diethylenetriamine to the mixture has been found to increase the detonation velocity
Visualization of nanoconstructions with DNA-Aptamers for targeted molecules binding on the surface of screen-printed electrodes
Nanoconstructions of gold nanoparticles (NPs) obtained via pulsed laser ablation in liquid with DNA-aptamer specific to protein tumor marker were visualized on the surface of screen-printed electrode using scanning electron microscopy (SEM) and confocal laser scanning microscopy (CLSM). AuNPs/aptamer nanoconstuctions distribution on the solid surface was studied. More uniform coverage of the carbon electrode surface with the nanoconstuctions was showed in comparison with DNA-aptamer alone on the golden electrode surface. Targeted binding of the tumor marker molecules with the AuNPs/DNA-aptamer nanoconstuctions was approved
The concentration of cadmium and lead in the solid and finely dispersed phases of snow and hair of the population of Gorny Altai
To create a systematic database on the presence of metals in the environment and the human body, it is necessary to conduct local studies in different regions of the Russian Federation. A comprehensive analysis of the content of cadmium and lead in different coenotic links, including the human body, has not been carried out in the Altai Republic. The aim of the study was to reveal the level of lead and cadmium accumulation in the solid and finely dispersed phases of snow and hair of the population of Gorno-Altaisk. Material and methods. The content of lead and cadmium in the snow and hair of the population of Gorno-Altaisk was estimated by the atomic absorption method. Snow samples were taken in the areas of 10 central coal boilers, hair samples were taken from 122 volunteers permanently residing in the city. Results. The concentration of metals in snow water exceeded the maximum allowable concentrations: for cadmium (0.004β0.008 mg/kg) by 3.8β8.2 times; for lead (0.008β0.469 mg/kg) by 2β15.6 times. In the solid phases of snow, the content of metals exceeded the permissible level by about 3 times. The average value of the concentration of cadmium in the hair of the population was 0.16 mg/kg, which did not exceed the all-Russian reference value (0.25 mg/kg), the proportion of excess among the population was 6.5 %. The lead content (3.18 mg/kg) approximately corresponded to the all-Russian values (3.0 mg/kg), the excess was found among 43 % of the population. Conclusion. As a result of the widespread use of solid fuels, the presence of cadmium and lead in the environment increases, which is confirmed by the accumulation of these metals in the snow cover and the accumulation of the analyzed microelements in the hair of the population of Gorno-Altaisk
From quantitative measurement to understanding public demand: Exploring non-survey methods in applied regional research
The article builds on the well-developed problem of studying trust in society towards social institutions, as well as between individuals. Currently, contact quantitative sociology faces a number of challenges, and the level of consent to participate in surveys is steadily falling. In order to reliably assess public opinion, non-contact tools for studying the digital environment are already required. The application of non-survey techniques for collecting big data using a pre-formed thesaurus allows us to select data for analysis and circumvent the problems associated with respondent recruitment. The application of SML approach to analyze digital publications of Russian-speaking users from Novosibirsk (more than 450 thousand publications) collected in 2020 has been considered. The combination of quantitative and qualitative methods allowed us to describe the audience and categorize the areas of public distrust and dissatisfaction. The application of this approach can be useful for managerial tasks aimed at increasing trust in society. Thus, the study is a valuable contribution to the development of modern sociology and its applied aspects
ΠΠ»ΠΈΡΠ½ΠΈΠ΅ ΠΌΡΠ»ΡΡΠΈΠ·ΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½Π°ΡΠΈΠΈ Π²Π΅ΡΡ Π½ΠΈΡ Π΄ΡΡ Π°ΡΠ΅Π»ΡΠ½ΡΡ ΠΏΡΡΠ΅ΠΉ Π½Π° ΡΠ°ΡΡΠΎΡΡ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΎΡ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΠΈ: ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΠΎΠ΅ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΏΠΈΠ»ΠΎΡΠ½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅
ΠΠΠ’Π£ΠΠΠ¬ΠΠΠ‘Π’Π¬: ΠΠ΅Π½ΡΠΈΠ»ΡΡΠΎΡ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΠΏΠ½Π΅Π²ΠΌΠΎΠ½ΠΈΡ (ΠΠΠ) ΠΎΡΡΠ°Π΅ΡΡΡ Π²Π΅Π΄ΡΡΠ΅ΠΉ Π½ΠΎΠ·ΠΎΠΊΠΎΠΌΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠ΅ΠΉ Π²Β ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ. ΠΠΠ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅Ρ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΈΒ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΠΎΠΉ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
(ΠΠΠ), ΡΡΠΎ Π°ΡΡΠΎΡΠΈΠΈΡΡΠ΅ΡΡΡ ΡΒ Π°ΡΡΠΈΠ±ΡΡΠΈΠ²Π½ΠΎΠΉ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡΡ. Π¦ΠΠΠ¬ ΠΠ‘Π‘ΠΠΠΠΠΠΠΠΠ―: Π¦Π΅Π»ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΠΎΠ³ΠΎ ΠΏΠΈΠ»ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»Π° ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΠΌΡΠ»ΡΡΠΈΠ·ΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½Π°ΡΠΈΠΈ Π½ΠΎΡΠΎ- ΠΈΒ ΡΠΎΡΠΎΠ³Π»ΠΎΡΠΊΠΈ, Π°Β ΡΠ°ΠΊΠΆΠ΅ ΠΏΠΎΠ΄ΡΠ²ΡΠ·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° Π½Π° ΡΠ°ΡΡΠΎΡΡ ΠΈΒ ΡΡΠΎΠΊΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠ, ΠΊΠΎΠ»ΠΎΠ½ΠΈΠ·Π°ΡΠΈΡ ΡΠΎΡΠΎΠ³Π»ΠΎΡΠΊΠΈ ΠΈΒ ΡΡΠ°Ρ
Π΅ΠΈ, Π°Β ΡΠ°ΠΊΠΆΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈΡΡ
ΠΎΠ΄Ρ. ΠΠΠ’ΠΠ ΠΠΠΠ« Π ΠΠΠ’ΠΠΠ«: ΠΒ ΠΌΠ½ΠΎΠ³ΠΎΡΠ΅Π½ΡΡΠΎΠ²ΠΎΠ΅ ΠΏΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΠΊΠ»ΡΡΠ΅Π½ΠΎ 60 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΡΒ ΠΎΠΆΠΈΠ΄Π°Π΅ΠΌΠΎΠΉ ΠΏΠΎΡΡΠ΅Π±Π½ΠΎΡΡΡΡ Π²Β ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΠΠ Π±ΠΎΠ»Π΅Π΅ 48Β Ρ. ΠΡΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΡ Π±ΡΠ»ΠΈ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π²Β Π³ΡΡΠΏΠΏΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ, ΠΌΠ΅ΡΡΠ½ΠΎΠ³ΠΎ Π°Π½ΡΠΈΡΠ΅ΠΏΡΠΈΠΊΠ° (ΠΠ) ΠΈΒ ΠΏΠΎΠ»ΠΈΠ²Π°Π»Π΅Π½ΡΠ½ΠΎΠ³ΠΎ Π±Π°ΠΊΡΠ΅ΡΠΈΠΎΡΠ°Π³Π° (ΠΠ€). ΠΡΠ» ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½ ΠΎΠ΄Π½ΠΎΡΠΈΠΏΠ½ΡΠΉ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ. ΠΠ΅Π½ΡΠΈΠ»ΡΡΠΎΡ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠΎΠ±ΡΡΠΈΡ (ΠΠΠΠ‘), Π²ΠΊΠ»ΡΡΠ°Ρ ΠΠΠ, ΡΠ΅Π³ΠΈΡΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΈ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
, Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΡ
, ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
, ΠΈΒ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ. ΠΠΈΠ°Π³Π½ΠΎΠ· ΠΠΠ ΡΡΠΈΡΠ°Π»ΡΡ ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½Π½ΡΠΌ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΏΠΎ ΡΠΊΠ°Π»Π΅ CPIS β₯Β 6Β Π±Π°Π»Π»ΠΎΠ². Π ΠΠΠ£ΠΠ¬Π’ΠΠ’Π«: ΠΠ±ΡΠ°Ρ ΡΠ°ΡΡΠΎΡΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠΠ‘ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ Π½Π΅ ΠΎΡΠ»ΠΈΡΠ°Π»Π°ΡΡ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ ΠΈΒ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° Π²Β Π³ΡΡΠΏΠΏΠ°Ρ
ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ, ΠΠ ΠΈΒ ΠΠ€ 15 (75Β %), 14 (70Β %) ΠΈΒ 17 (85Β %) ΡΠ»ΡΡΠ°Π΅Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. Π§Π°ΡΡΠΎΡΠ° ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠ Π±ΡΠ»Π° Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ Π½ΠΈΠΆΠ΅ Π²Β Π³ΡΡΠΏΠΏΠ°Ρ
ΠΠ ΠΈΒ ΠΠ€ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΒ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ: ΠΏΠΎ ΡΡΠΈ ΡΠ»ΡΡΠ°Ρ Π²Β Π³ΡΡΠΏΠΏΠ°Ρ
ΠΠ ΠΈΒ ΠΠ€ (ΠΏΠΎ 15Β %) ΠΈΒ 10 ΡΠ»ΡΡΠ°Π΅Π² (50Β %) Π²Β Π³ΡΡΠΏΠΏΠ΅ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ (Ο2Β =Β 8,35; pΒ =Β 0,015). Π‘Π½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π°Π±ΡΠΎΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΈΒ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΡΠΊΠ° ΠΠΠ ΠΏΡΠΈ Π½Π°Π·Π½Π°ΡΠ΅Π½ΠΈΠΈ ΠΠ ΠΈΒ ΠΠ€ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΎ 35 ΠΈΒ 70Β % ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ. ΠΠ±ΡΠ°Ρ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 30Β %, Π½Π΅ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡ Π΄ΠΎΡΡΠΎΠ²Π΅ΡΠ½ΠΎ ΠΌΠ΅ΠΆΠ΄Ρ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ. ΠΡΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΠΠ ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊΒ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ Π»Π΅ΡΠ°Π»ΡΠ½ΠΎΡΡΠΈ Π²Β ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΡΒ Π½Π΅ΠΎΡΠ»ΠΎΠΆΠ½Π΅Π½Π½ΠΎΠΉ ΠΠΠ. ΠΡΡΠ²Π»Π΅Π½Π° ΡΠ΅Π½Π΄Π΅Π½ΡΠΈΡ ΠΊΒ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠ°ΡΡΠΎΡΡ Π²Π΅Π½ΡΠΈΠ»ΡΡΠΎΡ-Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΡΠ°Ρ
Π΅ΠΎΠ±ΡΠΎΠ½Ρ
ΠΈΡΠ° Π²Β Π³ΡΡΠΏΠΏΠ΅ ΠΠ€ ΠΈΒ Π±Π΅ΡΡΠΈΠΌΠΏΡΠΎΠΌΠ½ΠΎΠΉ ΠΊΠΎΠ»ΠΎΠ½ΠΈΠ·Π°ΡΠΈΠΈ Π²Β Π³ΡΡΠΏΠΏΠ°Ρ
ΠΠ ΠΈΒ ΠΠ€ (pΒ =Β 0,07). ΠΠ΅ Π²ΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΏΠΎ ΠΏΡΠΎΠ΄ΠΎΠ»ΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ ΠΠΠ ΠΈΒ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π²Β ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΠΉ ΡΠ΅ΡΠ°ΠΏΠΈΠΈ ΠΈΒ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ΅. ΠΠ«ΠΠΠΠ«: ΠΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΌΡΠ»ΡΡΠΈΠ·ΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π΄Π΅ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½Π°ΡΠΈΠΈ Π²Π΅ΡΡ
Π½ΠΈΡ
Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ, Π²ΠΊΠ»ΡΡΠ°Ρ ΠΏΠΎΠ΄ΡΠ²ΡΠ·ΠΎΡΠ½ΠΎΠ΅ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²ΠΎ, c ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΎΠΊΡΠ΅Π½ΠΈΠ΄ΠΈΠ½Π° ΠΈΒ Π±Π°ΠΊΡΠ΅ΡΠΈΠΎΡΠ°Π³Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ½ΠΈΠ·ΠΈΡΡ ΡΠΈΡΠΊ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠ, Π½ΠΎ Π½Π΅ ΠΈΠ·ΠΌΠ΅Π½ΡΠ΅Ρ ΡΠ°ΡΡΠΎΡΡ ΠΠΠΠ‘. ΠΠ΅ΠΊΠΎΠ½ΡΠ°ΠΌΠΈΠ½Π°ΡΠΈΡ ΠΌΠΎΠΆΠ΅Ρ Π²Π»ΠΈΡΡΡ Π½Π° ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠΌΠ° Π΄ΡΡ
Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΠ΅ΠΉ
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