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ΠΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ½ΠΊΡΡΡ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ 2017)
ΠΠ½Π½ΠΎΡΠ°ΡΠΈΡ Π²ΡΠΏΡΡΠΊΠ½ΠΎΠΉ ΠΊΠ²Π°Π»ΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΡΠ°Π±ΠΎΡΡ ΠΡΠ»ΠΎΠ² ΠΠΈΠΊΠΈΡΠ° Π‘Π΅ΡΠ³Π΅Π΅Π²ΠΈΡ Β«ΠΠΠΠΠ£ΠΠΠ ΠΠΠΠ«Π ΠΠ£ΠΠ«ΠΠΠΠ¬ΠΠ«Π ΠΠΠΠΠ£Π Π‘ Π Π€ΠΠ ΠΠΠ ΠΠΠΠΠΠ ΠΠΠΠΠΠ Π‘Π’Π ΠΠΠ« ΠΠ ΠΠΠΠΠΠΠΠ― (ΠΠ ΠΠ ΠΠΠΠ Π ΠΠΠ ΠΠΠΠΠΠΠΠ―-2017)Β» Π. ΡΡΠΊ. - ΠΡΠΊΠΎΠ²Π° ΠΠ»Π΅Π½Π° ΠΠ»Π°Π΄ΠΈΠΌΠΈΡΠΎΠ²Π½Π°, Π΄ΠΎΠΊΡΠΎΡ ΡΠΈΠ»ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π½Π°ΡΠΊ, Π΄ΠΎΡΠ΅Π½Ρ ΠΠ°ΡΠ΅Π΄ΡΠ° ΡΠ²ΡΠ·Π΅ΠΉ Ρ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΡΡΡΡ ΠΡΠ½Π°Ρ ΡΠΎΡΠΌΠ° ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ: ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ½ΠΊΡΡΡ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΡΠ°ΠΌΠΎΠ΅ ΠΌΠ°ΡΡΡΠ°Π±Π½ΠΎΠ΅ ΡΠ΅Π³ΡΠ»ΡΡΠ½ΠΎΠ΅ Π²ΡΡΠΎΠΊΠΎΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ½ΠΎΠ΅ ΡΠ΅Π»Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΈ ΠΌΠ΅Π΄ΠΈΠ°-ΡΠΎΠ±ΡΡΠΈΠ΅, ΠΊΠΎΡΠΎΡΠΎΠ΅ . Π Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½ΠΎ Π°ΠΊΡΠ΅Π½ΡΠΈΡΡΠ΅Ρ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ Π½Π° Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎ-ΠΊΡΠ»ΡΡΡΡΠ½ΡΡ
ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΡ
ΡΡΡΠ°Π½Ρ-ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΎΡΠ° ΠΊΠΎΠ½ΠΊΡΡΡΠ°, ΡΠΎΡΠΌΠΈΡΡΠ΅Ρ Π·Π½Π°ΡΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΡΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠΎΡΠΎΠΊΠΈ ΠΈ ΡΠ΅ΠΌ ΡΠ°ΠΌΡΠΌ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ. ΠΠΎΠ»Π΅Π΅ ΡΠΎΠ³ΠΎ, ΠΏΠΎΠ±Π΅Π΄Π° ΡΡΡΠ°Π½Ρ-ΡΡΠ°ΡΡΠ½ΠΈΡΡ ΠΊΠΎΠ½ΠΊΡΡΡΠ° ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ Π·Π°ΡΠ°ΡΡΡΡ ΠΎΡΡΠ°ΠΆΠ°Π΅Ρ ΠΈΠ΄Π΅ΠΎΠ»ΠΎΠ³ΠΎ-ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π²Π΅ΠΊΡΠΎΡ ΠΠ²ΡΠΎΠΏΡ ΠΈ ΠΏΠΎ ΡΡΡΠΈ Π΄Π΅Π»Π° Π²ΡΠΏΠΎΠ»Π½ΡΠ΅Ρ ΡΡΠ½ΠΊΡΠΈΡ ΠΏΠΎΠ»ΠΈΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ PR ΡΡΡΠ°Π½Ρ-ΠΏΠΎΠ±Π΅Π΄ΠΈΡΠ΅Π»Ρ ΠΈ ΡΡΡΠ°Π½Ρ-Ρ
ΠΎΠ·ΡΠΉΠΊΠΈ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ. Π‘Π»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎ Π°Π½Π°Π»ΠΈΠ· ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΡΡ
Π½Π° ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΈ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΈ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΡΠΌ Π΄Π»Ρ ΡΠΎΠ±ΡΡΠΈΠΉΠ½ΠΎΠ³ΠΎ ΠΈ ΡΡΡΡΠΎΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ PR ΠΠ±ΡΠ΅ΠΊΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΠ½ΠΊΡΡΡΠ° (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ Π² ΠΠΈΠ΅Π²Π΅ Π² 2017 Π³.). ΠΡΠ΅Π΄ΠΌΠ΅Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΡΠ½ΠΊΡΠΈΡ ΡΡΠ°ΡΡΡΠ½ΠΎΠ³ΠΎ PR-ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: Π΄ΠΎΠΊΠ°Π·Π°ΡΡ, ΡΡΠΎ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ½ΠΊΡΡΡ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ. ΠΠ°Π΄Π°ΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°ΡΡ ΡΠ΅ΡΠΌΠΈΠ½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°ΠΏΠΏΠ°ΡΠ°Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π°ΡΡΠ½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ ΠΈΠΌΠΈΠ΄ΠΆΠΌΠ΅ΠΉΠΊΠΈΠ½Π³Ρ, Π±ΡΠ΅Π½Π΄ΠΈΠ½Π³Ρ ΠΈ ΠΈΠ²Π΅Π½Ρ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ; ΠΎΠΏΡΠ΅Π΄Π΅Π»ΠΈΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠ΅ ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ΅ΠΌΡΠ΅ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠΎΠ±ΡΡΠΈΠΉ Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ; ΠΎΠΏΠΈΡΠ°ΡΡ ΡΠΎΠ»Ρ ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠ³ΠΎ ΠΠ΅ΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π‘ΠΎΡΠ·Π° ΠΊΠ°ΠΊ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΎΡΠ° ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΊΠΎΠ½ΠΊΡΡΡΠ°; ΠΎΡΠ΅Π½ΠΈΡΡ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΡΡ
ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠ²Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ; Π΄Π°ΡΡ ΡΠ΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°ΡΠΈΠΈ ΠΏΠΎ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ. Π’Π΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π±Π°Π·Π°: Π½Π°ΡΡΠ½ΡΠ΅ ΡΡΡΠ΄Ρ Π. ΠΡΠΊΠΎΠ²ΠΎΠΉ, Π. ΠΠ°Π²ΡΡ, Π. ΠΠ°Π½ΠΊΡΡΡ
ΠΈΠ½Π°, Π. ΠΠΆΠ΅Π½Π΅ΡΠ°, Π. ΠΠ°Π²Π΅ΡΠΈΠ½ΠΎΠΉ, Π£. Π₯Π°Π»ΡΡΠ±Π°ΡΡΠ°, ΠΠΆ. ΠΠΎΠ»Π΄Π±Π»Π°ΡΡΠ° Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΡΠ΄Ρ Π. ΠΠ°ΡΡΠΌΠ°Π½Π° ΠΎ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΠΎΠΌ Π±ΠΈΠ·Π½Π΅ΡΠ΅, Π. ΠΠΆΠΎΡΠ΄Π°Π½Π° ΠΎ ΠΏΡΠΎΠ΄Π²ΠΈΠΆΠ΅Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½ Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ ΠΈ Π΄Ρ. ΠΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π±Π°Π·Π°: PR-Π΄ΠΎΠΊΡΠΌΠ΅Π½ΡΡ, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΡΠ΅ Π½Π° ΡΠ°ΠΉΡΠ΅ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ ΠΈ ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠ³ΠΎ ΠΠ΅ΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π‘ΠΎΡΠ·Π°; Π±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠ»ΡΡΠΎΡΠ° ΠΌΠΈΠ»Π»ΠΈΠΎΠ½Π° ΡΡΠ°ΡΠ΅ΠΉ ΠΎΠ± Π£ΠΊΡΠ°ΠΈΠ½Π΅ Π² Π΅Π²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΈΡ
Π‘ΠΠ, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΡΠ΅ Π² Π±Π°Π·Π΅ ΠΏΡΠΎΠ΅ΠΊΡΠ° ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΈΠΌΠΈΠ΄ΠΆΠ° Π£ΠΊΡΠ°ΠΈΠ½Ρ Β«OkoΒ»; Π΄Π°Π½Π½ΡΠ΅ Π±Π°Π·Ρ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ² Π‘ΠΠ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΌΠ΅Π΄ΠΈΠ° Factiva; Π΄Π°Π½Π½ΡΠ΅ Google.Analytics. ΠΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠ°Ρ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΡ: ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π΄ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΡΠΉ ΠΌΡΠ·ΡΠΊΠ°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ½ΠΊΡΡΡ ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΡΠΎΡΠΌΠΈΡΡΠ΅Ρ ΠΈΠΌΠΈΠ΄ΠΆ ΡΡΡΠ°Π½Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π½Π΅Π·Π°Π²ΠΈΡΠΈΠΌΠΎ ΠΎΡ ΡΡΠΏΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½Ρ. Π’Π΅Π·ΠΈΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ Π°ΠΏΡΠΎΠ±ΠΈΡΠΎΠ²Π°Π½Ρ Π½Π° ΠΌΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠΌ Π½Π°ΡΡΠ½ΠΎΠΌ ΡΠΎΡΡΠΌΠ΅ Β«ΠΠ΅Π΄ΠΈΠ° Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΌΠΈΡΠ΅. 57-Π΅ ΠΠ΅ΡΠ΅ΡΠ±ΡΡΠ³ΡΠΊΠΈΠ΅ ΡΡΠ΅Π½ΠΈΡΒ», ΠΎΠΏΡΠ±Π»ΠΈΠΊΠΎΠ²Π°Π½Ρ Π² ΡΠ±ΠΎΡΠ½ΠΈΠΊΠ΅ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»ΠΎΠ² ΡΡΠ°ΡΠ΅ΠΉ ΡΠΎΡΡΠΌΠ° ΠΈ ΠΈΠΌΠ΅ΡΡ ΡΡΠ°ΡΡΡ Π½Π°ΡΡΠ½ΠΎΠΉ ΡΡΠ°ΡΡΠΈ, ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½Π½ΠΎΠΉ Π² Π±Π°Π·Π΅ Π ΠΠΠ¦. Π‘ΡΡΡΠΊΡΡΡΠ° ΡΠ°Π±ΠΎΡΡ: Π Π°Π±ΠΎΡΠ° ΡΠΎΡΡΠΎΠΈΡ ΠΈΠ· Π²Π²Π΅Π΄Π΅Π½ΠΈΡ, 3 Π³Π»Π°Π²: Β«ΡΡΠ½ΠΊΡΠΈΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ±ΡΡΠΈΡ Π² ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠΈ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½ΡΒ», Β«ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠΎΠ±ΡΡΠΈΠ΅ ΠΠ²ΡΠΎΠΏΠ΅ΠΉΡΠΊΠΎΠ³ΠΎ ΠΠ΅ΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π‘ΠΎΡΠ·Π°Β» ΠΈ Β«ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π» ΠΠ²ΡΠΎΠ²ΠΈΠ΄Π΅Π½ΠΈΡ ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡΠ°Π΄ΠΊΠΈ Π΄Π»Ρ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈΠΌΠΈΠ΄ΠΆΠ° ΡΡΡΠ°Π½ΡΒ», Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ, ΡΠΏΠΈΡΠΊΠ° ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΈΠ· 67 ΠΏΠΎΠ·ΠΈΡΠΈΠΉ ΠΈ 12 ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΠΉ. ΠΠ±ΡΠΈΠΉ ΠΎΠ±ΡΠ΅ΠΌ 76 ΡΡΡΠ°Π½ΠΈΡ.Abstract of graduating qualification thesis Mikita Arlou INTERNATIONAL MUSIC CONTEST IN HOST COUNTRY IMAGE FORMATION (ON THE EXAMPLE OF EUROVISION 2017) Supervisor associate professor Elena Bykova, doctor of philology Department of PR in business full-time study Relevance: the international music contest Eurovision as the most wide scale regular high tech TV and Media event which annually emphasizes audience attention on national cultural features of the host country, forms tourist flows which have huge influence on territorial image formation. Besides the win of a participating in the Eurovision country often shows the ideological and political European vector and in fact serves as political PR of the winning or host country. Consequently the analysis of applied communication technologies is relevant and in-demand for event PR. Research object: communication activities of international music contest (on the example of Eurovision in Kyiv in 2017). Research subject: function of status PR event in country image formation. The aim of research: to prove that international music contest Eurovision contributes host country image formation. The tasks of research: to develop research terminology based on scientific literature on image making, branding and event management; to define actual communication technologies applied in special PR events on country image formation; to describe European Broadcasting Union role in host country image formation; to appreciate effectiveness of applied communication technologies on host country image formation in Eurovision; to give recommendations for host country image formation with the help of Eurovision. Theoretical base: scientific works written by E. Bykova, D. Gavra, A. Pankrukhin, B. Jenes, E. Kaverina, U. Halcbaur, J. Goldblatt and D. PassmanΒ΄s works on music business and P. Jordan on county image building with the help of Eurovision, etc. The empirical base: PR documents from official Eurovision and European Broadcasting Union websites; more than 1.5 million articles on Ukraine in European media stored in the base of international Ukrainian image monitoring project Oko; content of the mass media and social media base Factiva; Google.Analytics data. Practical significance: the research proves that international music contest Eurovision is relevant for the host country image formation independently of the success level of applied country image formation communication technologies. Approbation: General positions of current thesis were aprobated on international scientific forum Media in modern world and were published at the collection of articles of the forum and have the status of a scientific article posted in the RINC database. Thesis structure: Research consists of introduction, 3 chapters: Special event function in country image formation, Eurovision as EBU special event and communication potential of Eurovision as a platform for image formation; conclusion, literature list from 67 positions and 12 attachments. The total volume is 76 pages
Immunomodulatory Impact of Leishmania-Induced Macrophage Exosomes: A Comparative Proteomic and Functional Analysis
Adaptive platform trials: definition, design, conduct and reporting considerations
Researchers, clinicians, policymakers and patients are increasingly interested in questions about therapeutic interventions that are difficult or costly to answer with traditional, free-standing, parallel-group randomized controlled trials (RCTs). Examples include scenarios in which there is a desire to compare multiple interventions, to generate separate effect estimates across subgroups of patients with distinct but related conditions or clinical features, or to minimize downtime between trials. In response, researchers have proposed new RCT designs such as adaptive platform trials (APTs), which are able to study multiple interventions in a disease or condition in a perpetual manner, with interventions entering and leaving the platform on the basis of a predefined decision algorithm. APTs offer innovations that could reshape clinical trials, and several APTs are now funded in various disease areas. With the aim of facilitating the use of APTs, here we review common features and issues that arise with such trials, and offer recommendations to promote best practices in their design, conduct, oversight and reporting
Using research to prepare for outbreaks of severe acute respiratory infection
Abstract
Severe acute respiratory infections (SARI) remain one of the leading causes of mortality around the world in all age groups. There is large global variation in epidemiology, clinical management and outcomes, including mortality. We performed a short period observational data collection in critical care units distributed globally during regional peak SARI seasons from 1 January 2016 until 31 August 2017, using standardised data collection tools. Data were collected for 1βweek on all admitted patients who met the inclusion criteria for SARI, with follow-up to hospital discharge. Proportions of patients across regions were compared for microbiology, management strategies and outcomes. Regions were divided geographically and economically according to World Bank definitions. Data were collected for 682 patients from 95 hospitals and 23 countries. The overall mortality was 9.5%. Of the patients, 21.7% were children, with case fatality proportions of 1% for those less than 5βyears. The highest mortality was in those above 60 years, at 18.6%. Case fatality varied by region: East Asia and Pacific 10.2% (21 of 206), Sub-Saharan Africa 4.3% (8 of 188), South Asia 0% (0 of 35), North America 13.6% (25 of 184), and Europe and Central Asia 14.3% (9 of 63). Mortality in low-income and low-middle-income countries combined was 4% as compared with 14% in high-income countries. Organ dysfunction scores calculated on presentation in 560 patients where full data were available revealed Sequential Organ Failure Assessment (SOFA) scores on presentation were significantly associated with mortality and hospital length of stay. Patients in East Asia and Pacific (48%) and North America (24%) had the highest SOFA scores of >12. Multivariable analysis demonstrated that initial SOFA score and age were independent predictors of hospital survival. There was variability across regions and income groupings for the critical care management and outcomes of SARI. Intensive care unit-specific factors, geography and management features were less reliable than baseline severity for predicting ultimate outcome. These findings may help in planning future outbreak severity assessments, but more globally representative data are required
Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies
Flare frequency distributions represent a key approach to addressing one of
the largest problems in solar and stellar physics: determining the mechanism
that counter-intuitively heats coronae to temperatures that are orders of
magnitude hotter than the corresponding photospheres. It is widely accepted
that the magnetic field is responsible for the heating, but there are two
competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To
date, neither can be directly observed. Nanoflares are, by definition,
extremely small, but their aggregate energy release could represent a
substantial heating mechanism, presuming they are sufficiently abundant. One
way to test this presumption is via the flare frequency distribution, which
describes how often flares of various energies occur. If the slope of the power
law fitting the flare frequency distribution is above a critical threshold,
as established in prior literature, then there should be a
sufficient abundance of nanoflares to explain coronal heating. We performed
600 case studies of solar flares, made possible by an unprecedented number
of data analysts via three semesters of an undergraduate physics laboratory
course. This allowed us to include two crucial, but nontrivial, analysis
methods: pre-flare baseline subtraction and computation of the flare energy,
which requires determining flare start and stop times. We aggregated the
results of these analyses into a statistical study to determine that . This is below the critical threshold, suggesting that Alfv\'en
waves are an important driver of coronal heating.Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The
Astrophysical Journal on 2023-05-09, volume 948, page 7