503 research outputs found
Π£ΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΠ΅ ΠΎΡ ΡΠΏΠ»Π°ΡΡ Π½Π°Π»ΠΎΠ³ΠΎΠ²: Π±ΠΈΠ±Π»ΠΈΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠΎΡΠ΅ΠΊ Π·ΡΠ΅Π½ΠΈΡ Π²Π»Π°ΡΡΠΈ, Π±ΠΈΠ·Π½Π΅ΡΠ° ΠΈ Π½Π°ΡΠΊΠΈ
Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π°Π½Π°Π»ΠΈΠ·Ρ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ, ΠΊΠ°ΡΠ°ΡΡΠΈΡ
ΡΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ ΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΠΎΡ ΡΠΏΠ»Π°ΡΡ Π½Π°Π»ΠΎΠ³ΠΎΠ². ΠΡΠ° ΡΠ΅ΠΌΠ° ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°Π΅Ρ ΠΏΡΠΈΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π½Π°ΡΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²Π°. Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΡΡΡ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ Π½Π°ΡΡΠ½ΡΡ
ΡΠ°Π±ΠΎΡ ΠΏΠΎ ΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΠΎΡ ΡΠΏΠ»Π°ΡΡ Π½Π°Π»ΠΎΠ³ΠΎΠ² ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠΌ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ, ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌΡΠΌ Π·Π°ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π»ΠΈΡΠ°ΠΌΠΈ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° Π½Π°ΡΡΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»Π°ΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½Π°Ρ Π±Π°Π·Π° e-Library. Π ΠΊΡΡΠ³ Π·Π°ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ²Π°Π½Π½ΡΡ
Π»ΠΈΡ, Π½Π°ΠΏΡΡΠΌΡΡ Π·Π°Π²ΠΈΡΡΡΠΈΡ
ΠΎΡ ΠΏΡΠ°Π²ΠΈΠ» Π½Π°Π»ΠΎΠ³ΠΎΠΎΠ±Π»ΠΎΠΆΠ΅Π½ΠΈΡ, Π²Ρ
ΠΎΠ΄ΡΡ Π±ΠΈΠ·Π½Π΅ΡΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²ΠΎ ΠΈ Π³ΠΎΡΡΠ΄Π°ΡΡΡΠ²Π΅Π½Π½ΡΠ΅ ΠΎΡΠ³Π°Π½Ρ. ΠΠ»Ρ Π½ΠΈΡ
ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°ΠΌΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠΎ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΡΠ΅ΠΌΠ΅ ΡΠ²Π»ΡΡΡΡΡ ΡΠ»Π΅ΠΊΡΡΠΎΠ½Π½Π°Ρ Π±Π°Π·Π° ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΠΈΠ·Π΄Π°ΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ° Β«ΠΠΎΠΌΠΌΠ΅ΡΡΠ°Π½ΡΡΒ» ΠΈ Β«Π ΠΎΡΡΠΈΠΉΡΠΊΠ°Ρ Π³Π°Π·Π΅ΡΠ°Β». ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΠΎΡΠΎΠ±ΡΠ°Π½Π° 301 ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡ Π·Π° 2013-2015 Π³Π³. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡ ΠΏΡΡΠ΅ΠΌ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π² ΡΠ°Π·ΡΠ΅Π·Π΅ Π²ΠΈΠ΄ΠΎΠ² ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ. ΠΠ° ΠΏΠ΅ΡΠ²ΠΎΠΌ ΡΡΠ°ΠΏΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ» Π²ΡΠΏΠΎΠ»Π½Π΅Π½ ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΉ ΠΊΠΎΠ½ΡΠ΅Π½Ρ-Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΎΠ±ΡΠΈΡ
ΡΠ΅ΠΌ, ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌΡΡ
Π² ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡ
. ΠΠ°ΡΠ΅ΠΌ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΡΠ΅ΡΠ΅Π· ΡΡΠ°Π²Π½Π΅Π½ΠΈΠ΅ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΠΏΠΎ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠΉ ΡΠ΅ΠΌΠ΅ ΠΈΠ· ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°. ΠΠ»Ρ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ Π²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ Π±ΠΈΠ±Π»ΠΈΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ ΠΊΠ°ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ. Π Π°ΡΡΠ΅ΡΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΠ»ΠΈΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ΄ΡΠΊΡΠ° QDA Miner v.5.0 ΠΌΠΎΠ΄ΡΠ»Ρ WordStat v.7.1.7. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΡΠ΄Π΅Π»Π°Π½Ρ Π²ΡΠ²ΠΎΠ΄Ρ, ΡΡΠΎ ΡΠ°ΠΌΡΠΌΠΈ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠΌΠΈ ΡΠ΅ΠΌΠ°ΠΌΠΈ, ΠΈΠ½ΡΠ΅ΡΠ΅Ρ ΠΊ ΠΊΠΎΡΠΎΡΡΠΌ Π½Π΅ ΠΌΠ΅Π½ΡΠ΅ΡΡΡ, ΡΠ²Π»ΡΡΡΡΡ: ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°ΡΠ΅Π»ΡΡΡΠ²Π°, Π·Π°ΠΊΠΎΠ½ΠΎΡΠ²ΠΎΡΡΠ΅ΡΡΠ²ΠΎ ΠΈ ΡΡΠΈΠ»Π΅Π½ΠΈΠ΅ ΠΏΡΠΈΠ½ΡΠΆΠ΄Π΅Π½ΠΈΡ. Π’Π΅ΠΌΡ, ΠΊ ΠΊΠΎΡΠΎΡΡΠΌ Π·Π° ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄ ΡΠ½ΠΈΠ·ΠΈΠ»ΡΡ ΠΈΠ½ΡΠ΅ΡΠ΅Ρ, ΠΊΠ°ΡΠ°ΡΡΡΡ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΡ
Π°ΡΠΏΠ΅ΠΊΡΠΎΠ² Π½Π°Π»ΠΎΠ³ΠΎΠΎΠ±Π»ΠΎΠΆΠ΅Π½ΠΈΡ, ΡΠ΅Π½Π΅Π²ΠΎΠΉ Π΄Π΅ΡΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠ±ΡΡΠ²Π΅Π½Π½ΠΎΡΡΠΈ ΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ. ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ°Π½ΠΈΠ΅ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ° ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²Π° ΠΊ ΡΠΈΡΠΌΠ°ΠΌ-ΠΎΠ΄Π½ΠΎΠ΄Π½Π΅Π²ΠΊΠ°ΠΌ, ΡΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²Ρ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊ Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ ΡΡΡΠ°ΡΠΎΠ² ΠΈ ΠΏΠ΅Π½ΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π²ΡΡΠ²ΠΈΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ΅ Π½Π΅ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠ΅ ΡΠ΅ΠΌ, ΠΎΠ±ΡΡΠΆΠ΄Π°Π΅ΠΌΡΡ
Π±ΠΈΠ·Π½Π΅ΡΠΎΠΌ ΠΈ Π²Π»Π°ΡΡΡΡ, ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠ΅ΠΌΠ°ΠΌΠΈ Π½Π°ΡΡΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ. Π Π°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΠ΅ Π² Π½Π°ΡΡΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΡΡ
ΡΠ΅ΠΌΡ (ΡΠ΅Π½Π΅Π²Π°Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠ°, ΠΊΠΎΡΡΡΠΏΡΠΈΡ, ΡΠΈΡΠΌΡ-ΠΎΠ΄Π½ΠΎΠ΄Π½Π΅Π²ΠΊΠΈ, Π²Π·Π½ΠΎΡΡ Π½Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΡΡΡΠ°Ρ
ΠΎΠ²Π°Π½ΠΈΠ΅), Π³ΠΎΡΠ°Π·Π΄ΠΎ ΡΠ΅ΠΆΠ΅ Π²ΡΡΡΠ΅ΡΠ°ΡΡΡΡ Π½Π° ΡΠ΅ΡΡΡΡΠ°Ρ
ΠΈΠ·Π΄Π°ΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ° Β«ΠΠΎΠΌΠΌΠ΅ΡΡΠ°Π½ΡΡΒ» ΠΈ Π² Β«Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π³Π°Π·Π΅ΡΠ΅Β», ΡΠΎΡΡΠ΅Π΄ΠΎΡΠ°ΡΠΈΠ²Π°ΡΡΠΈΡ
ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π½Π° Π²ΠΎΠΏΡΠΎΡΠ°Ρ
Π·Π°ΠΊΠΎΠ½ΠΎΡΠ²ΠΎΡΡΠ΅ΡΡΠ²Π° ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² Π·Π°ΠΊΠΎΠ½ΠΎΠ΄Π°ΡΠ΅Π»ΡΡΡΠ²Π΅. ΠΠ½Π°Π»ΠΈΠ· Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Π΅ΠΉ Π² ΡΠ΅ΠΊΡΡΠ°Ρ
Π² ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΠΈΠΈ Ρ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ°ΠΌΠΈ ΠΈ Π³ΠΎΠ΄ΠΎΠΌ ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΡΠ΅ΠΌΡ Π½Π°ΡΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠ±Π»ΠΈΠΆΠ°ΡΡΡΡ Ρ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΡΠΌΠΈ Π²Π»Π°ΡΡΡΡ, Π° Π±ΠΈΠ·Π½Π΅Ρ-ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²ΠΎ Π² Π±ΠΎΠ»ΡΡΠ΅ΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π²ΠΎΠ²Π»Π΅ΠΊΠ°Π΅ΡΡΡ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΏΡΠ°Π²ΠΎΠ²ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ°ΡΠΈΠΊΠΈ, Ρ. Π΅. ΡΠΎΡΠΊΠ° Π·ΡΠ΅Π½ΠΈΡ Π²Π»Π°ΡΡΠΈ Π²ΠΎ ΠΌΠ½ΠΎΠ³ΠΎΠΌ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅Ρ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΡ ΡΠΊΠ»ΠΎΠ½Π΅Π½ΠΈΡ ΠΎΡ Π½Π°Π»ΠΎΠ³ΠΎΠ² Π±ΠΈΠ·Π½Π΅Ρ-ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ²ΠΎΠΌ, ΠΈ Π½Π°ΡΡΠ½ΡΠΌΠΈ ΠΊΡΡΠ³Π°ΠΌΠΈ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π±ΠΈΠ±Π»ΠΈΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅ΠΊΡΡΠΎΠ² ΠΌΠΎΠ³ΡΡ ΠΏΡΠΈΠΌΠ΅Π½ΡΡΡΡΡ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ, ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΎΠ±Π·ΠΎΡΠΎΠ² Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΈ ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΠΎΠΈΡΠΊΠ° ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ.This article analyzes the publications relating to the problem of tax evasion. This topic is attractive not only for the academic community, but also for public at whole. The article explores to what extent the scientific publications on tax evasion correspond to practical issues discussed among the stakeholders. We used the electronic database of e-Library as a source of scientific publications on the subject. The principal stakeholders directly dependent on the taxation are the taxpayers and public authorities. We used the electronic database of publications Β«KommersantΒ» publishing house and the Β«Rossiyskaya GazetaΒ» to reflect issues discussed among the stakeholders. We selected for analyze 301 publications for the period of 2013-2015. The study was conducted by comparing the publication activity by types and period of publications. In the first stage of the study we have done the qualitative content analysis by identification the common themes discussed in hole sample of publications. Then, a quantitative analysis was conducted by comparing the distribution of publications on a particular topic from each source. We used bibliometric analysis method for the quantitative and bibliographic mapping method to visualize the results of research. Calculations were performed using the software QDA Miner v.5.0 module WordStat v.7.1.7. As a result, studies have concluded that the most popular topics of interest for which no changes are: changes in legislation, legislation and increased enforcement. Using the results of the conducted study, we can identify the main similarities and differences between the monitored sources. We can see the special attention to the: Legislation changes, Law enforcement, Entrepreneurship. Marked reduction of interest can be noted regarding to the following topics: International aspects of taxation, Shadow economy, Ownership, property, investment. The growth of interest can be noted in relation to the following topics: Directorship, Article of the Tax Code, Short-lived companies, Arrears and fines. The study revealed a certain disparity between the topics discussed among academic community and stakeholders. The topics discussed in the majority of scientific texts (shadow economy, corruption, the firm one-day, social security contributions), a much rarer can be found in the publication of Β«KommersantΒ» and Β«Rossiyskaya GazetaΒ» which focuses mainly on matters of legislation. Analysis of the relationships in the texts according to the source and year of publication showed that research topics converge with issues considered by the public authorities. The business community more involved in discussion the legal issues, because the government notion works upon the impression about tax evasion of the business community and academia. Thus, bibliometric text analysis techniques can be used for research, preparation of literature reviews and thematic information retrieval
Knowledge inference through analysis of human activities
Monitoring human activities provides context data to be used by computational systems, aiming a better understanding of users and their surroundings. Uncertainty still is an obstacle to overcome when dealing with context-aware systems. The origin of it may be related to incomplete or outdated data. Attribute Grammars emerge as a consistent approach to deal with this problem due to their formal nature, allowing the definition of rules to validate context. In this paper, a model to validate human daily activities based on an Attribute Grammar is presented. Context data is analysed through the execution of rules that implement semantic statements. This processing, called semantic analysis, will highlight problems that can be raised up by uncertain situations. The main contribution of this paper is the proposal of a rigorous approach to deal with context-aware decisions (decisions that depend on the data collected from the sensors in the environment) in such a way that uncertainty can be detected and its harmful effects can be minimized.This work has been supported by national funds through FCT β Fundação para a CiΓͺncia e Tecnologia Λ
within the Project Scope: UID/CEC/00319/2019
Uncertainty in context-aware systems: A case study for intelligent environments
Data used be context-aware systems is naturally incomplete and not always reflect real situations. The dynamic nature of intelligent environments leads to the need of analysing and handling uncertain information. Users can change their acting patterns within a short space of time. This paper presents a case study for a better understanding of concepts related to context awareness and the problem of dealing with inaccurate data. Through the analysis of identification of elements that results in the construction of unreliable contexts, it is aimed to identify patterns to minimize incompleteness. Thus, it will be possible to deal with flaws caused by undesired execution of applications.Programa Operacional TemΓ‘tico Factores de Competitividade (POCI-01-0145-
ΠΠ°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ΅ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΡΠ°ΡΡΠ½ΡΡ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π² ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΈ Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ
The paper addresses the specificities of tax incentives in the form of tax reliefs designated for individual investors, who invest in bonds in the Russian Federation. The need for the use of tax incentives to encourage individual investors to purchase bonds is regarded as an integral aspect of the bondization, announced by the Bank of Russia. The objective of this paper is to analyze the specific features of the investment tax relief implementation in the Russian Federation and to reveal issues that remain controversial and require particularization. It was found that stimulation of investment through tax is widely studied by foreign scientists; however, it is almost completely disregarded in Russia. The following tax innovations related to investments of individual Russian investors were analyzed: tax relief for coupon income, derived from corporate bonds; investment tax deductions (individual investment account and long-term capital gains exemption); long-term capital gains exemption for securities of the high-tech (innovation) sector of economy. Reconciliation schemes for the above-mentioned reliefs were identified. Insufficiency of quantitative data for the effectiveness evaluation of tax relief for individual investors was revealed, which was explained by the short validity period of this relief. The authors proved the absence of a uniform system tax relief instruments for individual investors and found that bond holders have more tax relief options, compared to share holders of other investment instruments. In this context, it was proposed to make amendments to the Tax Code of the Russian Federation in order to ensure tax equalization with relation to derivative instruments, designed on the basis of bonds, mutual fund units). In addition, it was recommended to adjust a number of technical aspects, connected with tax relief application and to evaluate the effectiveness of the reliefs under study.Highlights1. A tendency towards emergence of a tax relief system for individual investors is revealed in the context of the active development of the bond market in the Russian2. In the Russian Federation, there are a number of tax reliefs for bond holders, including coupon income exemption from tax and investment tax deductions, which are not bound into a uniform system3. Reconciliation of tax reliefs for individual investors is possible; however, there are issues that remain controversial and require particularization4. The current tax reliefs for individual investors require improvement. It is important to make certain amendments to the Tax Code of the Russian Federation and evaluate the effectiveness of tax reliefsFor citationBelomyttseva O. S., Grinkevich L. S., Grinkevich A. M., Bobek S., Tominc P. Tax incentives for bond-oriented individual investors: evidence from the Russian Federation. Journal of Tax Reform, 2018, vol. 4, no. 2, pp. 108β124. DOI: 10.15826/jtr.2018.4.2.047Article infoReceived June 6, 2018; accepted July 12, 2018Β Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π°Π½Π°Π»ΠΈΠ·Ρ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π² ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΈ Π² Π Π€. ΠΠ΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΈΠΎΠ±ΡΠ΅ΡΠ΅Π½ΠΈΡ ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ ΡΠ°ΡΡΠ½ΡΠΌΠΈ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠ°ΠΌΠΈ ΠΎΡΠΌΠ΅ΡΠ΅Π½Π° ΠΊΠ°ΠΊ ΡΠΎΡΡΠ°Π²Π½Π°Ρ ΡΠ°ΡΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΈ Π±ΠΎΠ½Π΄ΠΈΠ·Π°ΡΠΈΠΈ, Π·Π°ΡΠ²Π»Π΅Π½Π½ΠΎΠΉ ΠΠ°Π½ΠΊΠΎΠΌ Π ΠΎΡΡΠΈΠΈ. Π¦Π΅Π»ΡΡ Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΡΠ°ΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°Π½Π°Π»ΠΈΠ· ΡΠΏΠ΅ΡΠΈΡΠΈΠΊΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π² Π Π€, Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ ΡΠΏΠΎΡΠ½ΡΡ
ΠΈ ΡΡΠ΅Π±ΡΡΡΠΈΡ
ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ Π²ΠΎΠΏΡΠΎΡΠΎΠ². ΠΡΠΌΠ΅ΡΠ΅Π½Ρ ΡΠΈΡΠΎΠΊΠΎΠ΅ ΠΎΡΠ²Π΅ΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΌΡ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ³ΠΎ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ Π² ΠΈΠ½ΠΎΡΡΡΠ°Π½Π½ΠΎΠΉ ΠΏΠ΅ΡΠΈΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ΅ ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈ ΠΏΠΎΠ»Π½ΠΎΠ΅ ΠΈΠ³Π½ΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ ΠΎΡΠ΅ΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΠΌΠΈ Π°Π²ΡΠΎΡΠ°ΠΌΠΈ. Π ΡΡΠ°ΡΡΠ΅ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΠ΅ Π½ΠΎΠ²Π°ΡΠΈΠΈ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ²: Π»ΡΠ³ΠΎΡΠ° ΠΏΠΎ ΠΊΡΠΏΠΎΠ½Π½ΠΎΠΌΡ Π΄ΠΎΡ
ΠΎΠ΄Ρ ΠΊΠΎΡΠΏΠΎΡΠ°ΡΠΈΠ²Π½ΡΡ
ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ, ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠ΅ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΠ΅ Π²ΡΡΠ΅ΡΡ (ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΡΠ΅ΡΠ° ΠΈ Π»ΡΠ³ΠΎΡΠ° ΠΏΠΎ Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΌΡ Π²Π»Π°Π΄Π΅Π½ΠΈΡ ΡΠ΅Π½Π½ΡΠΌΠΈ Π±ΡΠΌΠ°Π³Π°ΠΌΠΈ), Π»ΡΠ³ΠΎΡΠ° ΠΏΠΎ Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΌΡ Π²Π»Π°Π΄Π΅Π½ΠΈΡ ΡΠ΅Π½Π½ΡΠΌΠΈ Π±ΡΠΌΠ°Π³Π°ΠΌΠΈ Π²ΡΡΠΎΠΊΠΎΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΠΎΠ³ΠΎ (ΠΈΠ½Π½ΠΎΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ) ΡΠ΅ΠΊΡΠΎΡΠ° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΎΠ²ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π²ΡΡΠ΅Π½Π°Π·Π²Π°Π½Π½ΡΡ
Π»ΡΠ³ΠΎΡ. ΠΡΠΌΠ΅ΡΠ΅Π½ Π½Π΅Π΄ΠΎΡΡΠ°ΡΠΎΠΊ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π΄Π»Ρ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π²ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅ ΠΊΠΎΡΠΎΡΠΊΠΎΠ³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΈΡ
Π΄Π΅ΠΉΡΡΠ²ΠΈΡ. ΠΠ²ΡΠΎΡΡ ΠΏΡΠΈΡΠ»ΠΈ ΠΊ Π²ΡΠ²ΠΎΠ΄Ρ ΠΎΡΠ½ΠΎΡΠΈΡΠ΅Π»ΡΠ½ΠΎ ΠΎΡΡΡΡΡΡΠ²ΠΈΡ Π΅Π΄ΠΈΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ Π»ΡΠ³ΠΎΡ ΡΠ°ΡΡΠ½ΡΠΌ ΠΈΠ½Π²Π΅ΡΡΠΎΡΠ°ΠΌ ΠΈ Π±ΠΎΠ»Π΅Π΅ ΡΠΈΡΠΎΠΊΠΎΠΌ Π»ΡΠ³ΠΎΡΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ Π² ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ Ρ ΠΏΡΠΎΡΠΈΠΌΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌΠΈ. ΠΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΠΌ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌΠΈ ΡΠ°Π±ΠΎΡΡ ΠΌΠΎΠΆΠ½ΠΎ ΡΡΠΈΡΠ°ΡΡ ΠΊΠΎΠ½ΡΡΠ°ΡΠ°ΡΠΈΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ Π²Π½Π΅ΡΠ΅Π½ΠΈΠΉ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² ΠΠ Π Π€ Ρ ΡΠ΅Π»ΡΡ Π²ΡΡΠ°Π²Π½ΠΈΠ²Π°Π½ΠΈΡ Π½Π°Π»ΠΎΠ³ΠΎΠΎΠ±Π»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΏΠΎ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄Π½ΡΠΌ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°ΠΌ, ΡΠΎΠ·Π΄Π°Π½Π½ΡΠΌ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ, ΠΏΠ°ΡΠΌ ΠΏΠ°Π΅Π²ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠΎΠ½Π΄ΠΎΠ² ΠΈ ΠΊΠΎΡΡΠ΅ΠΊΡΠΈΡΠΎΠ²ΠΊΠΈ ΡΡΠ΄Π° ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠΌΠ΅Π½ΡΠΎΠ² ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π»ΡΠ³ΠΎΡ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΡΠ΅Π½ΠΊΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΎΠΏΠΈΡΠ°Π½Π½ΡΡ
Π»ΡΠ³ΠΎΡ.ΠΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡΒ 1.Β Π€ΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π΄Π»Ρ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π² Π Π€ ΠΈΠΌΠ΅Π΅Ρ ΠΌΠ΅ΡΡΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ½ΠΊΠ° ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ2.Β Π Π Π€ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ ΡΡΠ΄ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π΄Π»Ρ Π²Π»Π°Π΄Π΅Π»ΡΡΠ΅Π² ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΉ, Π²ΠΊΠ»ΡΡΠ°Ρ Π»ΡΠ³ΠΎΡΡ ΠΏΠΎ ΠΊΡΠΏΠΎΠ½Π½ΠΎΠΌΡ Π΄ΠΎΡ
ΠΎΠ΄Ρ ΠΈ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΎΠ½Π½ΡΠ΅ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΠ΅ Π²ΡΡΠ΅ΡΡ, Π½Π΅ ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
ΠΌΠ΅ΠΆΠ΄Ρ ΡΠΎΠ±ΠΎΠΉ Π΅Π΄ΠΈΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠΎΠΉ3.Β Π‘ΠΎΠ²ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π΄Π»Ρ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ, ΠΎΠ΄Π½Π°ΠΊΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΡΡ ΡΠΏΠΎΡΠ½ΡΠ΅ ΠΈ ΡΡΠ΅Π±ΡΡΡΠΈΠ΅ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠΈΠ·Π°ΡΠΈΠΈ Π²ΠΎΠΏΡΠΎΡΡ4.Β ΠΠΎΠ³ΠΈΡΠ½ΠΎ ΡΠ΅ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΡΡΠ΅ΠΌΡ Π½Π°Π»ΠΎΠ³ΠΎΠ²ΡΡ
Π»ΡΠ³ΠΎΡ Π΄Π»Ρ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π² Π Π€, Π²ΠΊΠ»ΡΡΠ°Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π²Π½Π΅ΡΠ΅Π½ΠΈΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ Π² ΠΠ Π Π€ ΠΈ ΠΎΡΠ΅Π½ΠΊΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π»ΡΠ³ΠΎΡΠΠ»Ρ ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΡΒ ΠΠ΅Π»ΠΎΠΌΡΡΡΠ΅Π²Π° Π. Π‘. ΠΠ°Π»ΠΎΠ³ΠΎΠ²ΠΎΠ΅ ΡΡΠΈΠΌΡΠ»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½Π²Π΅ΡΡΠΈΡΠΈΠΉ ΡΠ°ΡΡΠ½ΡΡ
ΠΈΠ½Π²Π΅ΡΡΠΎΡΠΎΠ² Π² ΠΎΠ±Π»ΠΈΠ³Π°ΡΠΈΠΈ Π² Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ / Π. Π‘. ΠΠ΅Π»ΠΎΠΌΡΡΡΠ΅Π²Π°, Π. Π‘. ΠΡΠΈΠ½ΠΊΠ΅Π²ΠΈΡ, Π. Π. ΠΡΠΈΠ½ΠΊΠ΅Π²ΠΈΡ, C. ΠΠΎΠ±Π΅ΠΊ, Π. Π’ΠΎΠΌΠΈΠ½Ρ // Journal of Tax Reform. β 2018. β Π’. 4, β 2. β Π‘. 108β124. β DOI: 10.15826/jtr.2018.4.2.047ΠΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎ ΡΡΠ°ΡΡΠ΅Β ΠΠ°ΡΠ° ΠΏΠΎΡΡΡΠΏΠ»Π΅Π½ΠΈΡ 6 ΠΈΡΠ½Ρ 2018 Π³.; Π΄Π°ΡΠ° ΠΏΡΠΈΠ½ΡΡΠΈΡ ΠΊ ΠΏΠ΅ΡΠ°ΡΠΈ 12 ΠΈΡΠ»Ρ 2018 Π³.
Magnetic resonance imaging detects placental hypoxia and acidosis in mouse models of perturbed pregnancies
Endothelial dysfunction as a result of dysregulation of anti-angiogenic molecules secreted by the placenta leads to the maternal hypertensive response characteristic of the pregnancy complication of preeclampsia. Structural abnormalities in the placenta have been proposed to result in altered placental perfusion, placental oxidative stress, cellular damage and inflammation and the release of anti-angiogenic compounds into the maternal circulation. The exact link between these factors is unclear. Here we show, using Magnetic Resonance Imaging as a tool to examine placental changes in mouse models of perturbed pregnancies, that T2 contrast between distinct regions of the placenta is abolished at complete loss of blood flow. Alterations in T2 (spin-spin or transverse) relaxation times are explained as a consequence of hypoxia and acidosis within the tissue. Similar changes are observed in perturbed pregnancies, indicating that acidosis as well as hypoxia may be a feature of pregnancy complications such as preeclampsia and may play a prominent role in the signalling pathways that lead to the increased secretion of anti-angiogenic compounds
ΠΠΈΠ΄ΡΠΎΠ³Π΅ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΡΠ»ΠΎΠ²ΠΈΡ ΠΈ ΠΏΠΎΠ΄ΡΡΡΡ Π·Π°ΠΏΠ°ΡΠΎΠ² ΠΏΠΎΠ΄Π·Π΅ΠΌΠ½ΡΡ Π²ΠΎΠ΄ Π½Π° ΡΡΠ°ΡΡΠΊΠ΅ "Π‘Π΅ΡΠ΅Π±ΡΡΠ½ΡΠΉ ΠΊΠ»ΡΡ" Π΄Π»Ρ Π²ΠΎΠ΄ΠΎΡΠ½Π°Π±ΠΆΠ΅Π½ΠΈΡ ΡΠ°Π½Π°ΡΠΎΡΠΈΡ-ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΎΡΠΈΡ (ΠΠ΅Π»ΠΎΠ²ΡΠΊΠΈΠΉ ΡΠ°ΠΉΠΎΠ½ ΠΠ΅ΠΌΠ΅ΡΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ)
Π£ΡΠ°ΡΡΠΎΠΊ ΡΠ°Π±ΠΎΡ ΡΠ°ΡΠΏΠΎΠ»Π°Π³Π°Π΅ΡΡΡ Π½Π° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ ΡΠ°Π½Π°ΡΠΎΡΠΈΡ-ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΎΡΠΈΡ "Π‘Π΅ΡΠ΅Π±ΡΡΠ½ΡΠΉ ΠΊΠ»ΡΡ" ΠΠ΅Π»ΠΎΠ²ΡΠΊΠΎΠ³ΠΎ ΡΠ°ΠΉΠΎΠ½Π° ΠΠ΅ΠΌΠ΅ΡΠΎΠ²ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ. Π Π°Π±ΠΎΡΠ° Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π° Ρ ΡΠ΅Π»ΡΡ ΡΠ°Π±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΡ ΡΠ°Π·Π²Π΅Π΄ΠΊΠΈ ΠΏΠΎΠ΄Π·Π΅ΠΌΠ½ΡΡ
Π²ΠΎΠ΄ Π² ΠΏΡΠ΅Π΄Π΅Π»Π°Ρ
Π²ΡΠ΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ Π² Π»ΠΈΡΠ΅Π½Π·ΠΈΠΈ Π½Π° ΠΏΡΠ°Π²ΠΎ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π΅Π΄ΡΠ°ΠΌΠΈ (Π»ΠΈΡΠ΅Π½Π·ΠΈΡ ΠΠΠ 01527 ΠΠ) Π³ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΎΡΠ²ΠΎΠ΄Π°.The site is located on the territory of the sanatorium-preventorium "Silver key" of the Belovo district of the Kemerovo region. The work was carried out for the purpose of working out a program of groundwater exploration within the mining allotment allocated in the license for the right to use subsoil (license KEM 01527 VE)
Cystatin C and lactoferrin concentrations in biological fluids as possible prognostic factors in eye tumor development
Objectives. To investigate the possible role of cystatin C in eye biological fluids locally and in serum and lactoferrin revealing anti-tumor activity in eye tumor development. Background. The increased number of eye tumors was registered recently not only in the countries with high insolation, but also in the northern countries including Russia (11 cases per million of population). Search for new biological markers is important for diagnosis and prognosis in eye tumors. Cystatin C, an endogenous inhibitor of cysteine proteases, plays an important protective role in several tumors. Lactoferrin was shown to express anti-tumor and antiviral activities. It was hypothesized that cystatin C and lactoferrin could serve as possible biomarkers in the diagnosis of malignant and benign eye tumors. Study design. A total of 54 patients with choroidal melanoma and benign eye tumors were examined (part of them undergoing surgical treatment). Serum, tear fluid and intraocular fluid samples obtained from the anterior chamber of eyes in patients with choroidal melanoma were studied. Methods. Cystatin C concentration in serum and eye biological fluids was measured by commercial ELISA kits for human (BioVendor, Czechia); lactoferrin concentration – by Lactoferrin-strip D 4106 ELISA test systems (Vector-BEST, Novosibirsk Region, Russia). Results. Cystatin C concentration in serum of healthy persons was significantly higher as compared to tear and intraocular fluids. In patients with choroidal melanoma, increased cystatin C concentration was similar in tear fluid of both the eyes. Lactoferrin level in tear fluid of healthy persons was significantly higher than its serum level. Significantly increased lactoferrin concentration in tear fluid was noted in patients with benign and malignant eye tumors. Conclusion. Increased level of cystatin C in tear fluid seems to be a possible diagnostic factor in the eye tumors studied. However, it does not allow us to differentiate between malignant and benign eye tumors. Similar changes were noted for lactoferrin in tear fluid
- β¦