709 research outputs found

    Evaluation of Motor Transport Service Competitiveness

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    The article presents the analysis of the main methods of evaluation of motor transport service competitiveness, lists the main approaches to determining the factors of motor transport service competitiveness and the methods for calculating the complex index of competitiveness

    Analysis of the methods for determining of the competitiveness of motor companies

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    The article presents the analysis of the main methods of assessment of the competitiveness of enterprises, the advantages and disadvantages of the methods considered are identified. It’s impossible to efficiently improve this rate and to estimate the successfulness of actions taken without estimation of present-day competitive ratio

    Evaluation of Motor Transport Service Competitiveness

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    The article presents the analysis of the main methods of evaluation of motor transport service competitiveness, lists the main approaches to determining the factors of motor transport service competitiveness and the methods for calculating the complex index of competitiveness

    Numerical simulation of water and water emulsion droplets evaporation in flames with different temperatures

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    The models of heat and mass transfer and phase transition for β€œwater droplet – flame” system have been developed using non-stationary nonlinear partial differential equations. The system of differential equations was solved by the finite-difference method. The locally one-dimensional method was used to solve the difference analogous of differential equations. One-dimensional differential equations were solved using an implicit four-point difference scheme. Nonlinear equations were solved by the iteration method. The evaporation rates of water droplets (with sizes from 0.05 mm to 5 mm) in the flame zone (at the temperatures from 500 K to 1200 K) were determined. Theoretical analysis established essentially nonlinear (close to exponential) form of dependence of the water droplet evaporation rate on the temperature of the external gas area and the temperature of a droplet surface. In particular, the water droplet evaporation rate varies from 0.25 to 0.29 kg/(m2s), when the temperature of external gas area is about 1100 K. On the other hand, the water droplet evaporation rate does not exceed 0.01 kg/(m2s) when the temperature of external gas area is about 350 K. Besides, it has been found out that droplets warm up at different rates depending on their initial temperature and velocity. As a result, the integral characteristics of droplet evaporation can increase substantially, when droplets move through the external gas area at the same temperature. We performed a similar investigation or droplet streams with droplet concentration 0.001–0.005 m3 in 1 m3 of gas area (typical parameters for modern spray extinguishing systems)

    ΠœΡƒΠ»ΡŒΡ‚ΠΈΠΌΠ΅Π΄ΠΈΠΉΠ½Ρ‹ΠΉ корпус русских Π³ΠΎΠ²ΠΎΡ€ΠΎΠ² Π£Π΄ΠΌΡƒΡ€Ρ‚ΠΈΠΈ: элСктронный подкорпус устной Ρ€Π΅Ρ‡ΠΈ

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    The article presents a description of the electronic subcorpus of oral speech, which is an integral part of the multimedia Corpus of Russian Dialects of Udmurtia (http://dialect.manuscripts.ru). The subcorpus allows you to study dialect vocabulary not only by the methods of corpus linguistics, but also by the methods of linguistic geography and electronic lexicography. An important component of the subcorpus is the presence in it of audio recordings of oral dialect speech, which makes it possible to identify and analyze the phonetic and grammatical features of various dialects of the republic. Due to the fact that Udmurtia is a multilingual region, the study of audio recordings helps to identify the interaction of languages spoken in the republic. The speech of dialect speakers, presented in the form of audio recordings, as well as the results of marking this speech, are new language material that clarifies information about the lexical and semantic features of the Russian dialects of Udmurtia. The linguistic and geographical database module makes it possible to select all the answers to one of the questions of the program on which the corpus marking is based, the result is the display of this word on the electronic map of Udmurtia. The article presents the results of marking up audio recordings, examples of maps and dictionary entries compiled using the corpus manager.The article presents a description of the electronic subcorpus of oral speech, which is an integral part of the multimedia Corpus of Russian Dialects of Udmurtia (http://dialect.manuscripts.ru). The subcorpus allows you to study dialect vocabulary not only by the methods of corpus linguistics, but also by the methods of linguistic geography and electronic lexicography. An important component of the subcorpus is the presence in it of audio recordings of oral dialect speech, which makes it possible to identify and analyze the phonetic and grammatical features of various dialects of the republic. Due to the fact that Udmurtia is a multilingual region, the study of audio recordings helps to identify the interaction of languages spoken in the republic. The speech of dialect speakers, presented in the form of audio recordings, as well as the results of marking this speech, are new language material that clarifies information about the lexical and semantic features of the Russian dialects of Udmurtia. The linguistic and geographical database module makes it possible to select all the answers to one of the questions of the program on which the corpus marking is based, the result is the display of this word on the electronic map of Udmurtia. The article presents the results of marking up audio recordings, examples of maps and dictionary entries compiled using the corpus manager.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСно описаниС элСктронного подкорпуса устной Ρ€Π΅Ρ‡ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ являСтся Π½Π΅ΠΎΡ‚ΡŠΠ΅ΠΌΠ»Π΅ΠΌΠΎΠΉ Ρ‡Π°ΡΡ‚ΡŒΡŽ ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΌΠ΅Π΄ΠΈΠΉΠ½ΠΎΠ³ΠΎ ΠšΠΎΡ€ΠΏΡƒΡΠ° русских Π³ΠΎΠ²ΠΎΡ€ΠΎΠ² Π£Π΄ΠΌΡƒΡ€Ρ‚ΠΈΠΈ (http://dialect.manuscripts.ru). ΠŸΠΎΠ΄ΠΊΠΎΡ€ΠΏΡƒΡ позволяСт ΠΈΠ·ΡƒΡ‡Π°Ρ‚ΡŒ Π΄ΠΈΠ°Π»Π΅ΠΊΡ‚Π½ΡƒΡŽ лСксику Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ корпусной лингвистики, Π½ΠΎ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ лингвистичСской Π³Π΅ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ ΠΈ элСктронной лСксикографии. Π’Π°ΠΆΠ½ΠΎΠΉ ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰Π΅ΠΉ подкорпуса являСтся Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Π² Π½Π΅ΠΌ аудиозаписСй устной Π΄ΠΈΠ°Π»Π΅ΠΊΡ‚Π½ΠΎΠΉ Ρ€Π΅Ρ‡ΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‚ Π²Ρ‹ΡΠ²Π»ΡΡ‚ΡŒ ΠΈ Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ фонСтичСскиС ΠΈ грамматичСскиС особСнности русских Π³ΠΎΠ²ΠΎΡ€ΠΎΠ² рСспублики. Π’ связи с Ρ‚Π΅ΠΌ, Ρ‡Ρ‚ΠΎ Удмуртия являСтся ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠ»ΠΈΠ½Π³Π²Π°Π»ΡŒΠ½Ρ‹ΠΌ Ρ€Π΅Π³ΠΈΠΎΠ½ΠΎΠΌ, ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ аудиозаписСй ΠΏΠΎΠΌΠΎΠ³Π°Π΅Ρ‚ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Ρ„Π°ΠΊΡ‚Ρ‹ влияния Π½Π° русскиС Π³ΠΎΠ²ΠΎΡ€Ρ‹ Π΄Ρ€ΡƒΠ³ΠΈΡ… языков, распространСнных Π² рСспубликС. Π Π΅Ρ‡ΡŒ диалСктоноситСлСй, прСдставлСнная Π² Π²ΠΈΠ΄Π΅ аудиозаписСй, Π° Ρ‚Π°ΠΊΠΆΠ΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Ρ€Π°Π·ΠΌΠ΅Ρ‚ΠΊΠΈ этой Ρ€Π΅Ρ‡ΠΈ ΡΠ²Π»ΡΡŽΡ‚ΡΡ Π½ΠΎΠ²Ρ‹ΠΌ языковым ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»ΠΎΠΌ, ΡƒΡ‚ΠΎΡ‡Π½ΡΡŽΡ‰ΠΈΠΌ свСдСния ΠΎ лСксико-сСмантичСских особСнностях русских Π³ΠΎΠ²ΠΎΡ€ΠΎΠ² Π£Π΄ΠΌΡƒΡ€Ρ‚ΠΈΠΈ. ЛингвогСографичСский ΠΌΠΎΠ΄ΡƒΠ»ΡŒ Π΄Π°Π΅Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ произвСсти Π²Ρ‹Π±ΠΎΡ€ΠΊΡƒ всСх ΠΎΡ‚Π²Π΅Ρ‚ΠΎΠ² Π½Π° ΠΎΠ΄ΠΈΠ½ ΠΈΠ· вопросов ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹, Π½Π° ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ основана Ρ€Π°Π·ΠΌΠ΅Ρ‚ΠΊΠ° корпуса, Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ становится ΠΎΡ‚ΠΎΠ±Ρ€Π°ΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… слов Π½Π° элСктронной ΠΊΠ°Ρ€Ρ‚Π΅ Π£Π΄ΠΌΡƒΡ€Ρ‚ΠΈΠΈ. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСны Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ Ρ€Π°Π·ΠΌΠ΅Ρ‚ΠΊΠΈ аудиозаписСй, ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Π½Ρ‹ ΠΏΡ€ΠΈΠΌΠ΅Ρ€Ρ‹ ΠΊΠ°Ρ€Ρ‚ ΠΈ словарных статСй, составлСнных ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ корпусного ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅Ρ€Π°

    New methods to detect early manifestations of adverse side effects of glucocorticosteroids in children

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    The article focuses on the early manifestations of adverse side effects in children with nephrotic syndrome receiving glucocorticosteroids. The search for criteria of early side effect manifestations is a real challenge nowadays. The authors developed new diagnostic criteria for early detection of pharmacotherapeutical side effects in children with nephrotic syndrom
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