Examining Ambrosia Pollen Episodes at Poznań (Poland) Using Back-trajectory Analysis

The pollen grains of Ambrosia spp. are considered to be important aeroallergens in parts of southern and central Europe. Back-trajectories have been analysed with the aim of finding the likely sources of Ambrosia pollen grains that arrived at Poznań (Poland). Temporal variations in Ambrosia pollen at Poznań from 1995–2005 were examined in order to identify Ambrosia pollen episodes suitable for further investigation using back-trajectory analysis. The trajectories were calculated using the transport model within the Lagrangian air pollution model, ACDEP (Atmospheric Chemistry and Deposition). Analysis identified two separate populations in Ambrosia pollen episodes, those that peaked in the early morning between 4 a.m. and 8 a.m., and those that peaked in the afternoon between 2 p.m. and 6 p.m.. Six Ambrosia pollen episodes between 2001 and 2005 were examined using backtrajectory analysis. The results showed that Ambrosia pollen episodes that peaked in the early morning usually arrived at Poznań from a southerly direction after passing over southern Poland, the Czech Republic, Slovakia and Hungary, whereas air masses that brought Ambrosia pollen to Poznań during the afternoon arrived from a more easterly direction and predominantly stayed within the borders of Poland. Back-trajectory analysis has shown that there is a possibility that long-range transport brings Ambrosia pollen to Poznań from southern Poland, the Czech Republic, Slovakia and Hungary. There is also a likelihood that Ambrosia is present in Poland, as shown by the arrival of pollen during the afternoon that originated primarily from within the country.

The Contribution of Academic Scholarship to Management Development.

Purpose: This paper explores the impact of academic scholarship on the development and practice of experienced managers. Design / Methodology: Semi-structured interviews with experienced managers, modelled on the critical incident technique. ‘Intertextuality’ and framework analysis technique are used to examine whether the use of academic scholarship is a sub-conscious phenomenon. Findings: Experienced managers make little direct use of academic scholarship, using it only occasionally to provide retrospective confirmation of decisions or a technique they can apply. However, academic scholarship informs their practice in an indirect way, their understanding of the ‘gist’ of scholarship comprising one of many sources which they synthesise and evaluate as part of their development process. Practical implications: Managers and management development practitioners should focus upon developing skills of synthesising the ‘gist’ of academic scholarship with other sources of data, rather than upon the detailed remembering, understanding and application of specific scholarship, and upon finding / providing the time and space for that ‘gisting’ and synthesis to take place. Originality / Value: The paper addresses contemporary concerns about the appropriateness of the material delivered on management education programmes for management development. It is original in doing this from the perspective of experienced managers, and in using intertextual analysis to reveal not only the direct but also the indirect uses of they make of such scholarship. The finding of the importance of understanding the ‘gist’ rather than the detail of academic theory represents a key conceptual innovation.

A Practical Approach to Using Motion Capture in Performance Dance

Markerless systems are becoming more ubiquitous due to their increased use in video games consoles. Cheap cameras and software suites are making motion capture technologies more freely available to the digitally inclined choreographer. In this workshop we will demonstrate the opportunities and limitations provided by easily accessible and relatively inexpensive markerless motion capture systems. In particular we will explore the capacity of these systems to provide useful data in a live performance scenario where the latency, size and format of the captured data is crucial in allowing real-time processing and visualisation of the captured scene