In a field trial during 1995/96, epidemics of <I>Pyrenophora teres</I> and <I>Rhynchosporium secalis</I> were studied in winter barley with concurrent records of weather data to identify key environmental parameters that affect epidemics. Temperature was identified as a key influence in the onset of <I>P. teres</I> epidemics. Disease symptoms were observed to progress when daytime temperatures consistently reached 10°C and minimum nightime temperatures for the same period remained above 5°C. Short leaf wetness periods and longer photoperiods also correlated with increased disease levels during the <I>P. teres </I>epidemic. In <I>R. secalis,</I> relationships between disease onset and individual environmental parameters were not consistent, however, high rainfall events and prolonged leaf wetness periods were recorded prior to greatest disease increase. Hypotheses based on individual and combined weather criteria, based on the results of the 1995/96 field trials, were tested in controlled conditions. The effect of temperature on <I>P. teres</I> was confirmed, with small differences between ascospores and conidiospores. Latent period of both <I>P. teres</I> and <I>R. secalis</I> was influenced by cultivar resistance, inoculum concentration and plant growth stage. In a second field trial in 1996/97 reduced dose fungicide programmes, using hypotheses of epidemic development based on environmental criteria, were tested and compared favourably to a standard programme with greater fungicide doses. Environmental criteria were combined within a decision model for timed reduced-dose fungicide programmes for each pathogen, where risk scores were allotted for each set of criteria and fungicide treatment decision was based on the cumulative risk score. Both the <I>P. teres</I> and <I>R. secalis</I> decision models were tested in a final field trial in 1997/98. Lower disease levels and greater yield response, with lower fungicide input, was achieved from both models compared to a standard fungicide programme. The potential for using the <I>P. teres</I> and <I>R. secalis</I> decision models in a decision support system for cereals is discussed.

Community participation during the cold winter months is difficult for wheeled mobility device (WMD) users. However, limited attention has been given to understanding this problem, and collaboratively identifying solutions with stakeholders. This qualitative study explored the issues faced by key stakeholders (WMD users and Public Works Department employees) regarding use and provision of accessible sidewalks in winter and identified solutions. Eleven participants informed the study through a combination of go-along interviews, key informant interviews, photographs, and meteorological data. Four themes were identified: the context of winter season, winter and wheels interact, winter versus the city, and a framework for winter access and success. Solutions included creating awareness, taking action, and assuming accountability through collaborative efforts and increased information sharing. Based on the perspectives of informed stakeholders this study contributes to the development of focused interventions for overcoming winter sidewalk barriers and thus, enabling winter community participation of WMD users.

This thesis has explored the relationship between the seven strong characters in The Lion in Winter and the dialogue through which Goldman reveals them. Each character is examined with the use selected sections of the dialogue to support the assertions.The second and third chapters discuss the procedures and evaluation of the production The Lion in Winter in Ball State University's Studio Theatre on February 14-17, 1973. Included in these sections are the director's ideas, problems, solutions, and suggestions.The appendices contain the production book and all the designs which were necessary to produce The Lion in Winter. In addition, photographs of the actual production are included.

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Municipalities and contractors in Canada and other parts of the world rely on road surface condition information during and after a snow storm to optimize maintenance operations and planning. With an ever increasing demand for safer and more sustainable road network there is an ever increasing demand for more reliable, accurate and up-to-date road surface condition information while working with the limited available resources. Such high dependence on road condition information is driving more and more attention towards analyzing the reliability of current technology as well as developing new and more innovative methods for monitoring road surface condition. This research provides an overview of the various road condition monitoring technologies in use today. A new machine vision based mobile road surface condition monitoring system is proposed which has the potential to produce high spatial and temporal coverage. The proposed approach uses multiple models calibrated according to local pavement color and environmental conditions potentially providing better accuracy compared to a single model for all conditions. Once fully developed, this system could potentially provide intermediate data between the more reliable xed monitoring stations, enabling the authorities with a wider coverage without a heavy extra cost. The up to date information could be used to better plan maintenance strategies and thus minimizing salt use and maintenance costs.

Thèse (M.Ress.Revouv.) -- Université du Québec à Chicoutimi, 2005. / Bibliogr.: f. 38-45. Document électronique également accessible en format PDF. CaQCU

Thesis (Ph. D.)--University of Tennessee, Knoxville, 2009. / Title from title page screen (viewed on Nov. 2, 2009). Thesis advisor: Thomas C. Mueller. Vita. Includes bibliographical references.

Thesis (MS)--Montana State University--Bozeman, 2009. / Typescript. Chairperson, Graduate Committee: Alan T. Dyer. Includes bibliographical references.

Thesis (M.A.)--Memorial University of Newfoundland. / Typescript. Bibliography: leaves 231-246. Also available online.