91 research outputs found
Assessment of Synaptic Function During Short-Term Facilitation in Motor Nerve Terminals in the Crayfish
An enhanced buildup of [Ca2+]i occurs during short-term facilitation (STF) at the crayfish neuromuscular junction (NMJ). As a model system, this NMJ allows discrete postsynaptic quantal events to be counted and characterized in relation to STF. Providing 10 pulses, at 20 and 40Hz, we monitored postsynaptic quantal events over a discrete region of a nerve terminal with a focal macropatch electrode. Characteristics of quantal events were clustered into groups by peak amplitude and time to the peak amplitude. Since the synapses at this NMJ have varied spacing of active zones, number of active zones and synaptic size, the graded nature of synaptic recruitment is likely one means of titrating synaptic efficacy for the graded depolarization on the non-spiking muscle fiber. Synapses in this preparation would appear to have a quantal signature that can be used for quantifying their activity which is useful in estimating the overall number of active sites. We use mixture modeling to estimate n (number of active sites) and p (probability of vesicle fusion) from the quantal characteristics. In a preparation that was stimulated at 40Hz, synapses were recruited (increase in n) and the number active synapses increased in p. In a different preparation, p increased as the stimulation was changed from 20 to 40Hz, but n did not show a substantial increase; however, during the STF train, p increases slightly. This study provides a novel approach in determining subsets of the single evoked quanta to better estimate n and p which describe synaptic function
Update to the Vitamin C, Thiamine and Steroids in Sepsis (VICTAS) protocol: statistical analysis plan for a prospective, multicenter, double-blind, adaptive sample size, randomized, placebo-controlled, clinical trial.
BACKGROUND: Observational research suggests that combined therapy with Vitamin C, thiamine and hydrocortisone may reduce mortality in patients with septic shock.
METHODS AND DESIGN: The Vitamin C, Thiamine and Steroids in Sepsis (VICTAS) trial is a multicenter, double-blind, adaptive sample size, randomized, placebo-controlled trial designed to test the efficacy of combination therapy with vitamin C (1.5βg), thiamine (100βmg), and hydrocortisone (50βmg) given every 6βh for up to 16 doses in patients with respiratory or circulatory dysfunction (or both) resulting from sepsis. The primary outcome is ventilator- and vasopressor-free days with mortality as the key secondary outcome. Recruitment began in August 2018 and is ongoing; 501 participants have been enrolled to date, with a planned maximum sample size of 2000. The Data and Safety Monitoring Board reviewed interim results at N =β200, 300, 400 and 500, and has recommended continuing recruitment. The next interim analysis will occur when N =β1000. This update presents the statistical analysis plan. Specifically, we provide definitions for key treatment and outcome variables, and for intent-to-treat, per-protocol, and safety analysis datasets. We describe the planned descriptive analyses, the main analysis of the primary end point, our approach to secondary and exploratory analyses, and handling of missing data. Our goal is to provide enough detail that our approach could be replicated by an independent study group, thereby enhancing the transparency of the study.
TRIAL REGISTRATION: ClinicalTrials.gov, NCT03509350. Registered on 26 April 2018
Large-Scale Absence of Sharks on Reefs in the Greater-Caribbean: A Footprint of Human Pressures
BACKGROUND: In recent decades, large pelagic and coastal shark populations have declined dramatically with increased fishing; however, the status of sharks in other systems such as coral reefs remains largely unassessed despite a long history of exploitation. Here we explore the contemporary distribution and sighting frequency of sharks on reefs in the greater-Caribbean and assess the possible role of human pressures on observed patterns. METHODOLOGY/PRINCIPAL FINDINGS: We analyzed 76,340 underwater surveys carried out by trained volunteer divers between 1993 and 2008. Surveys were grouped within one km2 cells, which allowed us to determine the contemporary geographical distribution and sighting frequency of sharks. Sighting frequency was calculated as the ratio of surveys with sharks to the total number of surveys in each cell. We compared sighting frequency to the number of people in the cell vicinity and used population viability analyses to assess the effects of exploitation on population trends. Sharks, with the exception of nurse sharks occurred mainly in areas with very low human population or strong fishing regulations and marine conservation. Population viability analysis suggests that exploitation alone could explain the large-scale absence; however, this pattern is likely to be exacerbated by additional anthropogenic stressors, such as pollution and habitat degradation, that also correlate with human population. CONCLUSIONS/SIGNIFICANCE: Human pressures in coastal zones have lead to the broad-scale absence of sharks on reefs in the greater-Caribbean. Preventing further loss of sharks requires urgent management measures to curb fishing mortality and to mitigate other anthropogenic stressors to protect sites where sharks still exist. The fact that sharks still occur in some densely populated areas where strong fishing regulations are in place indicates the possibility of success and encourages the implementation of conservation measures
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
Benefits of Online Health Education: Perception from Consumers and Health Professionals
REVIEWS: CURRENT TOPICS Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biologyβ
Abstract Over the past 2 decades, there have been revolutionary developments in life science technologies characterized by high throughput, high efficiency, and rapid computation. Nutritionists now have the advanced methodologies for the analysis of DNA, RNA, protein, low-molecular-weight metabolites, as well as access to bioinformatics databases. Statistics, which can be defined as the process of making scientific inferences from data that contain variability, has historically played an integral role in advancing nutritional sciences. Currently, in the era of systems biology, statistics has become an increasingly important tool to quantitatively analyze information about biological macromolecules. This article describes general terms used in statistical analysis of large, complex experimental data. These terms include experimental design, power analysis, sample size calculation, and experimental errors (Type I and II errors) for nutritional studies at population, tissue, cellular, and molecular levels. In addition, we highlighted various sources of experimental variations in studies involving microarray gene expression, real-time polymerase chain reaction, proteomics, and other bioinformatics technologies. Moreover, we provided guidelines for nutritionists and other biomedical scientists to plan and conduct studies and to analyze the complex data. Appropriate statistical analyses are expected to make an important contribution to solving major nutrition-associated problems in humans and animals (including obesity, diabetes, cardiovascular disease, cancer, ageing, and intrauterine growth retardation)
Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biologyβ
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