1,100 research outputs found
Simultaneous spectrophotometric determination of chromium (VI) and iron (III) in alloys
In this work the possibility of simultaneous spectrophotometric determination of chromium (VI) and iron (III) in alloys with help of the mixed organic reagents (diphenylcarbazide and 1,10-phenanthroline, diphenylcarbazide and sulphosalicylic acid) is studied. We have applied curve fitting method to separate individual signals of chromium (VI) and iron (III) from overlapped absorption spectrum. Peak shape analysis of pure signals of complexes of chromium (VI) with diphenylcarbazide and iron (III) with the 1,10-phenanthroline and sulphosalicylic acid is previously carried out. For adequate application of curve fitting method we chose the optimal empirical models of signals taking into account preliminary information on their shape. Correctness of determination of concentration by means of the offered technique is proved by "added-found" method for a series of mixtures with different ratios of concentration of chromium (VI) and iron (III). It is founded that the error of determination of concentration doesn't exceed 11%
Simultaneous spectrophotometric determination of chromium(VI) and iron (III) by H-point standard addition method
In this work the possibility of simultaneous spectrophotometric determination of chromium (VI) and iron (III) in alloys with help of the mixed organic reagent (diphenylcarbazide and 1,10-phenanthroline) is studied. We have applied Π-point standard addition method to determine concentrations of chromium (VI) and iron (III) from the mixture. The pure signals of complexes of chromium (VI) with diphenylcarbazide and iron (III) with the 1,10-phenanthroline and their calibration plots are previously carried out. We established the possibility of simultaneous determination of chromium (VI) and iron (III) in the different concentration ranges by Π-point standard addition method. Correctness of determination of concentration by means of the offered technique is proved by "added-found" method for a series of mixtures with different ratios of concentration of chromium (VI) and iron (III). It is founded that the error of determination of concentration doesn't exceed 33 %.
Behaviour of the Blazar CTA 102 during two giant outbursts
Blazar CTA 102 underwent exceptional optical and high-energy outbursts in 2012 and 2016-2017. We analyze its behaviour during these events, focusing on polarimetry as a tool that allows us to trace changes in the physical conditions and geometric configuration of the emission source close to the central black hole. We also use Fermi gamma-ray data in conjunction with optical photometry in an effort to localize the origin of the outbursts.AST-1615796 - Boston Universit
Use of virtual mind mapping to organise effective colaboration of students in project activities
Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ΅ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠ½ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ Π² ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½ΠΎΠΌ ΠΈ Π΄ΠΈΡΡΠ°Π½ΡΠΈΠΎΠ½Π½ΠΎΠΌ ΠΎΠ±ΡΡΠ΅Π½ΠΈΠΈ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠΎΠ² ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π²ΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ Π΄Π»Ρ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΊΠΎΠΌΠ°Π½Π΄Π½ΠΎΠ³ΠΎ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΡ ΠΎΠ±ΡΡΠ°ΡΡΠΈΡ
ΡΡ ΠΈ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
ΡΠ΅Π»Π΅ΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡ-ΠΊΠ°ΡΡ ΠΊΠ°ΠΊ ΠΎΠ½Π»Π°ΠΉΠ½-ΡΠ΅ΡΠ²ΠΈΡΠΎΠ² ΡΠΎΠ²ΠΌΠ΅ΡΡΠ½ΠΎΠ³ΠΎ Π΄ΠΎΡΡΡΠΏΠ° Π΄Π»Ρ ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΏΠΎΡΡΠ°Π²Π»Π΅Π½Π½ΡΡ
Π·Π°Π΄Π°Ρ. Π ΡΠ°Π±ΠΎΡΠ΅ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°ΡΡΡΡ ΠΎΡΠ½ΠΎΠ²Ρ ΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠ΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ ΠΏΡΠΎΠ΅ΠΊΡΠ½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ, ΠΏΡΠΈΠ½ΡΠΈΠΏΡ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΈΠ½ΡΠ΅Π»Π»Π΅ΠΊΡ-ΠΊΠ°ΡΡ, Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈ ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΡ ΡΠ°ΠΊΠΈΡ
ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ-ΡΠ΅ΡΠ²ΠΈΡΠΎΠ².The article is devoted to organization of project activities of students in electronic and distance learning. One of the tools to create a virtual environment for effective team interaction of students and achieve goals of a project is to use mind maps as online services for project task solving. The paper deals with the basics and necessary components of project work, principles of mind maps, possibilities and drawbacks of such Internet services
Temperature sensitivity of soil respiration is dependent on readily decomposable C substrate concentration
International audienceTemperature acclimation of soil organic matter (SOM) decomposition is one of the major uncertainties in predicting soil CO2 efflux by the increase in global mean temperature. A reasonable explanation for an apparent acclimation proposed by Davidson and colleagues (2006) based on Michaelis-Menten kinetics suggests that temperature sensitivity decreases when both maximal activity of respiratory enzymes (Vmax) and half- saturation constant (Ks) cancel each other upon temperature increase. We tested the hypothesis of the canceling effect by the mathematical simulation of the data obtained in the incubation experiments with forest and arable soils. Our data confirm the hypothesis and suggest that concentration of readily decomposable C substrate as glucose equivalent is an important factor controlling temperature sensitivity. The highest temperature sensitivity was observed when C substrate concentration was much lower than Ks. Increase of substrate content to the half-saturation constant resulted in temperature acclimation associated with the canceling effect. Addition of the substrate to the level providing respiration at a maximal rate Vmax leads to the acclimation of the whole microbial community as such. However, growing microbial biomass was more sensitive to the temperature alterations. This study improves our understanding of the instability of temperature sensitivity of soil respiration under field conditions, explaining this phenomenon by changes in concentration of readily decomposable C substrate. It is worth noting that this pattern works regardless of the origin of C substrate: production by SOM decomposition, release into the soil by rhizodeposition, litter fall or drying-rewetting events
The principles of the green economy in the context of agglomeration: Evidence from Big Ekaterinburg
The authors consider an urban agglomeration as a more integral informal economic subject uniting economic interests of its municipalities and expressing interests of the territory which can become a driver of the "green economy" strategy. High level of social and economic development of an agglomeration kernel, and high capabilities related to minimization of environmental risks and multiplying natural capital of the small cities allows synchronization of economic growth, optimal use of natural resources and decreasing decoupling effect. Using Big Ekaterinburg as an example of urban agglomerations the authors have shown that strategic planning documents on the municipal level require cardinal revision in the context of complex development of the territory, "green" economy principles implementation and harmonization of relations among the economy, society, and environment. Β© 2018 Institute of Physics Publishing. All rights reserved.The authors would like to express their deepest gratitude to the Russian Foundation for Basic Research (RFBR) for the support of the research within the project No. 17-22-07001 "The complex algorithm of culture-based regeneration of minor industrial cities in the context of agglomeration processes in Russia and Europe"
Learning analytics in massive open online courses as a tool for predicting learner performance
Learning analytics in MOOCs can be used to predict learner performance, which is critical as higher education is moving towards adaptive learning. Interdisciplinary methods used in the article allow for interpreting empirical qualitative data on performance in specific types of course assignments to predict learner performance and improve the quality of MOOCs. Learning analytics results make it possible to take the most from the data regarding the ways learners engage with information and their level of skills at entry. The article presents the results of applying the proposed learning analytics algorithm to analyze learner performance in specific MOOCs developed by Ural Federal University and offered through the National Open Education Platform. Β© 2018, National Research University Higher School of Economics.This study was support- ed by financial assis- tance provided under the Resolution of the Government of the Rus sian Federation No.Β 211, Contract No.Β 02. A03.21.0006. Translated from Russian by I. Zhuchkova
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