763 resultados para Synchronized parade


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Variations in the phase angle difference between a remote 11kV connected wind farm and the centre of Belfast during a typical working day are investigated in the paper. The results obtained using phasor measurement units (PMUs) are compared with the data generated using a PSS/E simulator configured to model the N.Ireland network. The study investigates the effect of changes in the load demand and the wind farm output power on the phase angles at various locations on the network. The paper finally describes how a major system disturbance on the All-Ireland network was monitored and analysed using PMUs located at Queen's University, Belfast and University College Dublin. ©2007 IEEE.

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The Rapid Oscillations in the Solar Atmosphere (ROSA) instrument is a synchronized, six-camera high-cadence solar imaging instrument developed by Queen's University Belfast and recently commissioned at the Dunn Solar Telescope at the National Solar Observatory in Sunspot, New Mexico, USA, as a common-user instrument. Consisting of six 1k x 1k Peltier-cooled frame-transfer CCD cameras with very low noise (0.02 - 15 e/pixel/s), each ROSA camera is capable of full-chip readout speeds in excess of 30 Hz, and up to 200 Hz when the CCD is windowed. ROSA will allow for multi-wavelength studies of the solar atmosphere at a high temporal resolution. We will present the current instrument set-up and parameters, observing modes, and future plans, including a new high QE camera allowing 15 Hz for Halpha. Interested parties should see https://habu.pst.qub.ac.uk/groups/arcresearch/wiki/de502/ROSA.html

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The purpose of this study was to compare bone speed of sound (SOS) measured by quantitative ultrasound, circulating levels of IGF- 1 and biochemical markers of bone turnover in pre- (Pr) and post-menarcheal (Po) synchronized swimmers (SS) and controls (NS). Seventy participants were recruited: 8 PrSS, 22 PoSS, 20 PrNS, and 20 PoNS. Anthropometric measures of height, weight, skeletal maturity and percent body fat were taken, and dietary intake evaluated using 24-hour recall. Bone SOS was measured at the distal radius and mid-tibia and blood samples analyzed for IGF-1, osteocalcin, NTx, and 25-OH vitamin D. Results demonstrated maturational effects on bone SOS, IGF-1 and bone turnover (p<0.05), with no differences observed between SS and NS. Main effects were observed for a reduced caloric intake in SS compared to NS (p<0.05). Therefore, SS does not offer additive affects on bone strength but imparts no adverse affects to skeletal health in these athletes.

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Recent research suggests that participating in vigorous synchronized physical activity may result in elevated levels of endorphins, which may in turn affect social bonding (Cohen et. al., 2009). The present research aimed to examine whether or not the change in pain tolerance would be able to predict participants’ willingness to cooperate after statistically controlling for the groups’ condition. Participants were asked to run on a treadmill for 30 minutes under one of two conditions (control vs. synchronized). Prior to and after the run participants underwent a pain tolerance test. Once completed, a second activity was introduced to the participants; a cooperative game. A public goods game was used to measure an individual’s willingness to cooperate. The results showed the synchronized condition was able to predict that participants cooperated more during the public goods game (p = .009), however the change in pain threshold was unable to significantly predict cooperation (p = .32).

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We assess the predictive ability of three VPIN metrics on the basis of two highly volatile market events of China, and examine the association between VPIN and toxic-induced volatility through conditional probability analysis and multiple regression. We examine the dynamic relationship on VPIN and high-frequency liquidity using Vector Auto-Regression models, Granger Causality tests, and impulse response analysis. Our results suggest that Bulk Volume VPIN has the best risk-warning effect among major VPIN metrics. VPIN has a positive association with market volatility induced by toxic information flow. Most importantly, we document a positive feedback effect between VPIN and high-frequency liquidity, where a negative liquidity shock boosts up VPIN, which, in turn, leads to further liquidity drain. Our study provides empirical evidence that reflects an intrinsic game between informed traders and market makers when facing toxic information in the high-frequency trading world.

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La présente étude porte sur les effets de la familiarité dans l’identification d’individus en situation de parade vocale. La parade vocale est une technique inspirée d’une procédure paralégale d’identification visuelle d’individus. Elle consiste en la présentation de plusieurs voix avec des aspects acoustiques similaires définis selon des critères reconnus dans la littérature. L’objectif principal de la présente étude était de déterminer si la familiarité d’une voix dans une parade vocale peut donner un haut taux d’identification correcte (> 99 %) de locuteurs. Cette étude est la première à quantifier le critère de familiarité entre l’identificateur et une personne associée à « une voix-cible » selon quatre paramètres liés aux contacts (communications) entre les individus, soit la récence du contact (à quand remonte la dernière rencontre avec l’individu), la durée et la fréquence moyenne du contact et la période pendant laquelle avaient lieu les contacts. Trois différentes parades vocales ont été élaborées, chacune contenant 10 voix d’hommes incluant une voix-cible pouvant être très familière; ce degré de familiarité a été établi selon un questionnaire. Les participants (identificateurs, n = 44) ont été sélectionnés selon leur niveau de familiarité avec la voix-cible. Toutes les voix étaient celles de locuteurs natifs du franco-québécois et toutes avaient des fréquences fondamentales moyennes similaires à la voix-cible (à un semi-ton près). Aussi, chaque parade vocale contenait des énoncés variant en longueur selon un nombre donné de syllabes (1, 4, 10, 18 syll.). Les résultats démontrent qu’en contrôlant le degré de familiarité et avec un énoncé de 4 syllabes ou plus, on obtient un taux d’identification avec une probabilité exacte d’erreur de p < 1 x 10-12. Ces taux d’identification dépassent ceux obtenus actuellement avec des systèmes automatisés.