712 research outputs found
RESISTANCE TO THE CHANGES IN EDUCATIONAL ORGANIZATION
The concepts of Β«changeΒ», Β«resistance to changeΒ», the problem of introducing changes in the educational organization associated with resistance from employees have considered. The main types of changes, the key points concerning their implementation, the model of successful management and regulation of changes have examined, and tips to improve the effectiveness of its application have adduced. Possible options for reducing resistance on the part of employees and motivational components of the change management model have suggested
Estimating the First-year Corrosion Losses of Structural Metals for Continental Regions of the World
The knowledge of the first-year corrosion losses of metals (K1) in various regions of the world is of great importance in engineering applications. The K1 values are used to determine the categories of atmospheric corrosivity, and K1 is also the main parameter in models for the prediction of long-term corrosion losses of metals. In the absence of experimental values of K1, their values can be predicted on the basis of meteorological and aerochemical parameters of the atmosphere using the dose-response functions (DRF). Currently, the DRFs presented in ISO 9223:2012(E) /1/ standard are used for predicting K1 in any region of the world, along with the unified DRFs /2/ and the new DRFs /3/. The predicted values of corrosion losses (K1pr) of carbon steel, zinc, copper and aluminum obtained by various DRFs for various continental regions of the world are presented. In this work we used the atmosphere corrosivity parameters and experimental data on the corrosion losses of metals for the first year of exposure (K1exp) for the locations of the tests performed under the international UN/ECE program, the MICAT project, and the Russian program. For the first time, a comparative assessment of the reliability of various DRFs is given by comparing the values of K1pr and K1ex using graphical and statistical methods. The statistical indicators of reliability of predicting the corrosion losses of metals are calculated for various categories of atmosphere corrosivity. It is shown that the new dose-response functions offer the highest reliability for all categories of atmosphere corrosivity
STUDY OF βPUPIL β TEACHERβ CONFLICT AT SCHOOL
The article is devoted to the issues of conflict interaction in the βpupil β teacherβ system in an educational institution. The purpose of the article is to consider the voiced problem through the prism of a socio-pedagogical approach, taking into account not only the state of society, but also the educational potential of the family, as well as the structure of the class team and the personal age characteristics of schoolchildren. Special attention has been paid to the negative side of the conflict, which affects the weak psyche of the pupil, as well as the mental health of the teacher, which ultimately worsens the psychological comfort at school and interferes the educational process. It has been shown that in conflict situation teacher`s behavior in most cases relates to such types of response as βrepressive measuresβ and βignoring the conflictβ. In conflict situations in the βpupil β teacherβ system, teachers use external suppression, as well as apply sanctions. Conflicts in the βpupil β teacherβ system from the point of view of age characteristics of schoolchildren have been considered. The article is intended for employees of educational organizations and those interested in conflict issues
Experimental investigation of the radial structure of energetic particle driven modes
Alfv\'en eigenmodes (AEs) and energetic particle modes (EPMs) are often
excited by energetic particles (EPs) in tokamak plasmas. One of the main open
questions concerning EP driven instabilities is the non-linear evolution of the
mode structure. The aim of the present paper is to investigate the properties
of beta-induced AEs (BAEs) and EP driven geodesic acoustic modes (EGAMs)
observed in the ramp-up phase of off-axis NBI heated ASDEX Upgrade (AUG)
discharges. This paper focuses on the changes in the mode structure of
BAEs/EGAMs during the non-linear chirping phase. Our investigation has shown
that in case of the observed down-chirping BAEs the changes in the radial
structure are smaller than the uncertainty of our measurement. This behaviour
is most probably the consequence of that BAEs are normal modes, thus their
radial structure strongly depends on the background plasma parameters rather
than on the EP distribution. In the case of rapidly upward chirping EGAMs the
analysis consistently shows shrinkage of the mode structure. The proposed
explanation is that the resonance in the velocity space moves towards more
passing particles which have narrower orbit widths.Comment: submitted to Nuclear Fusio
Delivery features of pregnant women with a uterine scar
Vaginal delivery after a Caesarean section remains a controversial topic: there is a lack of reliable data to help doctors and women in labour to determine the best option for delivery during subsequent pregnancy. The review analyzed and summarized the results of the studies devoted to childbirth of pregnant women with scars on the uterus, considered the advantages and disadvantages of vaginal childbirth and repeat Caesarean section, the frequency of complications in the attempt of vaginal childbirth in women with scars on the uterus has been assessed. The modern medical literature available in open sources has been studied: Russian-language scientifc electronic libraries eLibrary and CyberLeninka, Englishlanguage database of medical and biological publications PubMed. It is necessary to consider the data of anamnesis and clinical-instrumental data when choosing the best management tactics of pregnancy and delivery for women with scars on the uterus. Attempting to deliver vaginally helps to reduce maternal and neonatal morbidity, and a large number of studies on this issue should help to reduce the number of unwarranted repeat Caesarean sections. Vaginal delivery after a Caesarean section is an opportunity to avoid severe abdominal surgery and negative consequences associated with repeated Caesarean sections
ΠΠΠ ΠΠΠΠΠΠΠΠ Π₯ΠΠΠΠΠ Π ΠΠΠΠΠΠΠΠΠΠΠ¬ΠΠ«Π₯ ΠΠΠΠΠ’ΠΠΠ₯ ΠΠΠ’ΠΠΠΠ Π€ΠΠ£ΠΠ ΠΠΠΠ’Π ΠΠ
The fluorimetric method of analysis has been proposed for the qualitative and quantitative determination of the food flavoring additive quinine in the tonic water. The fluorimetric method of analysis has high sensitivity, selectivity and express speed compared to the other methods. The optimal conditions for the quinine fluorimetric determination in the soft drinks were found: solvent - 0.01 M sulfuric acid, excitation wavelength of 353 nm, luminescence wavelength of 452 nm, strobe parameters - signal delay of 0.85 ΞΌs, signal duration of 21.25 ΞΌs. To increase the sensitivity of the developed method, quinine luminescence was studied in the various concentrations of sulfuric acid from 0.005 to 1.000 M, and the quantum yield of quinine luminescence in all the investigated concentrations of sulfuric acid was calculated. It has been established that the highest quinine luminescence intensity, the highest quantum yield, and the lowest solvent background signal were observed in 0.01 M H2SO4. The influence of the related compounds of the food matrix on the fluorimetric determination of quinine was studied. It has been established that the content of such components as sugar and citric acid in the soft drinks does not affect the luminescent signal of quinine. The detection limit of quinine was calculated, which amounted to 0.0019 mg/dm3. In order to verify the correctness of the fluorimetric method, the results were compared with the spectrophotometric method (maximum absorption of quinine at 347 nm). The results obtained by the two methods were in good agreement, and the detection limit of the fluorimetric method was higher compared to the known works. The proposed technique could be used to control the quality and safety of the soft drinks.Β Keywords: quinine, fluorimetry, tonic water, luminescence quantum yield, strobe parameters.DOI: http://dx.doi.org/10.15826/analitika.2019.23.3.007(Russian)A.Π. Nikolaeva, A.A. Ivanov, E.I. KorotkovaΒ National Research Tomsk Polytechnic University,Lenina prosp., 30 Tomsk, 634050, Russian FederationΠ€Π»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠ΅ΡΠΎΠ΄ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ Π΄Π»Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΠΈΡΠ΅Π²ΠΎΠΉ Π²ΠΊΡΡΠΎΠ°ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π΄ΠΎΠ±Π°Π²ΠΊΠΈ Ρ
ΠΈΠ½ΠΈΠ½Π° Π² Π½Π°ΠΏΠΈΡΠΊΠ°Ρ
-ΡΠΎΠ½ΠΈΠΊΠ°Ρ
. ΠΡΠ±ΠΎΡ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½ Π΅Π³ΠΎ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ, ΡΠ΅Π»Π΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡΡ ΠΈ ΡΠΊΡΠΏΡΠ΅ΡΡΠ½ΠΎΡΡΡΡ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ. ΠΠ°ΠΉΠ΄Π΅Π½Ρ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΡΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ ΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Ρ
ΠΈΠ½ΠΈΠ½Π° Π² Π½Π°ΠΏΠΈΡΠΊΠ°Ρ
: ΡΠ°ΡΡΠ²ΠΎΡΠΈΡΠ΅Π»Ρ β 0.01 Π ΡΠ΅ΡΠ½Π°Ρ ΠΊΠΈΡΠ»ΠΎΡΠ°, Π΄Π»ΠΈΠ½Π° Π²ΠΎΠ»Π½Ρ Π²ΠΎΠ·Π±ΡΠΆΠ΄Π΅Π½ΠΈΡ 353 Π½ΠΌ, Π΄Π»ΠΈΠ½Π° Π²ΠΎΠ»Π½Ρ Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠΈΠΈ 452 Π½ΠΌ, ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΡΠΎΠ±Π° β Π·Π°Π΄Π΅ΡΠΆΠΊΠ° ΡΠΈΠ³Π½Π°Π»Π° 0.85 ΠΌΠΊΡ, Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡ ΡΠΈΠ³Π½Π°Π»Π° 21.25 ΠΌΠΊΡ. ΠΠ»Ρ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΡΠ°Π·ΡΠ°Π±Π°ΡΡΠ²Π°Π΅ΠΌΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠΈΠΈ Ρ
ΠΈΠ½ΠΈΠ½Π° ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΊΠ²Π°Π½ΡΠΎΠ²ΡΠ΅ Π²ΡΡ
ΠΎΠ΄Ρ Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠΈΠΈ Ρ
ΠΈΠ½ΠΈΠ½Π° Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡΡ
ΡΠ΅ΡΠ½ΠΎΠΉ ΠΊΠΈΡΠ»ΠΎΡΡ ΠΎΡ 0.005 Π΄ΠΎ 1.000 Π. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠ°Ρ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΠΎΡΡΡ Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠΈΠΈ Ρ
ΠΈΠ½ΠΈΠ½Π°, Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΉ ΠΊΠ²Π°Π½ΡΠΎΠ²ΡΠΉ Π²ΡΡ
ΠΎΠ΄ ΠΈ Π½Π°ΠΈΠΌΠ΅Π½ΡΡΠΈΠΉ ΡΠΈΠ³Π½Π°Π» ΡΠΎΠ½Π° ΡΠ°ΡΡΠ²ΠΎΡΠΈΡΠ΅Π»Ρ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ Π² 0.01 Π H2SO4. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΌΠ΅ΡΠ°ΡΡΠΈΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠΎΠ² ΠΏΠΈΡΠ΅Π²ΠΎΠΉ ΠΌΠ°ΡΡΠΈΡΡ Π½Π° ΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Ρ
ΠΈΠ½ΠΈΠ½Π°. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ ΡΠ°Ρ
Π°Ρ ΠΈ Π»ΠΈΠΌΠΎΠ½Π½Π°Ρ ΠΊΠΈΡΠ»ΠΎΡΠ° Π½Π΅ Π²Π»ΠΈΡΡΡ Π½Π° Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠ½ΡΠΉ ΡΠΈΠ³Π½Π°Π» Ρ
ΠΈΠ½ΠΈΠ½Π°. Π Π°ΡΡΡΠΈΡΠ°Π½ ΠΏΡΠ΅Π΄Π΅Π» ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ Ρ
ΠΈΠ½ΠΈΠ½Π°, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠΎΡΡΠ°Π²ΠΈΠ» 0.0019 ΠΌΠ³/Π΄ΠΌ3. ΠΠ»Ρ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ ΠΏΡΠ°Π²ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ ΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΡΠΎ ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΎΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΎΠΉ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Ρ
ΠΈΠ½ΠΈΠ½Π° Π² Π½Π°ΠΏΠΈΡΠΊΠ°Ρ
(ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΠΏΠΎΠ³Π»ΠΎΡΠ΅Π½ΠΈΠ΅ Ρ
ΠΈΠ½ΠΈΠ½Π° ΠΏΡΠΈ 347 Π½ΠΌ).Β Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ Π΄Π²ΡΠΌΡ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ°ΠΌΠΈ, Ρ
ΠΎΡΠΎΡΠΎ ΡΠΎΠ³Π»Π°ΡΡΡΡΡΡ, ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΏΡΠ΅Π΄Π΅Π» ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΈΡ ΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅ΡΠΎΠ΄Π° Π½ΠΈΠΆΠ΅ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠ° ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° Π΄Π»Ρ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ Π±Π΅Π·Π°Π»ΠΊΠΎΠ³ΠΎΠ»ΡΠ½ΡΡ
Π½Π°ΠΏΠΈΡΠΊΠΎΠ².ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΡΠ»ΠΎΠ²Π°: Ρ
ΠΈΠ½ΠΈΠ½, ΡΠ»ΡΠΎΡΠΈΠΌΠ΅ΡΡΠΈΡ, Π½Π°ΠΏΠΈΡΠΊΠΈ-ΡΠΎΠ½ΠΈΠΊΠΈ, ΠΊΠ²Π°Π½ΡΠΎΠ²ΡΠΉ Π²ΡΡ
ΠΎΠ΄ Π»ΡΠΌΠΈΠ½Π΅ΡΡΠ΅Π½ΡΠΈΠΈ, ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΡΡΠΎΠ±Π°DOI: http://dx.doi.org/10.15826/analitika.2019.23.3.00
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