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In commenting on the release of this information, Chief Financial Of cer Chuck Criscillis stated, Like many other companies, we are looking for ways to better communicate our progress with our shareholders Reporting our hotels operating data on a monthly basis is one way to accomplish this By releasing these numbers, we are not intimating that similar RevPAR increases will be achieved for the balance of the year While we are anticipating RevPAR growth for the balance of 2001, we don t view the January growth rate as sustainable because of the weakness in January 2000 occupancy rates Nonetheless, our January 2001 statistics provide strong evidence that our strategy of focusing on occupancy more than on room rates can yield meaningful revenue growth.

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The matters discussed in the foregoing paragraphs of this news release include forward-looking statements that involve risks and uncertainties that could cause results to differ from anticipated results, including, but not limited to, general economic conditions, weather patterns, individuals plans for business and personal travel, and other risks indicated in the Company s lings with the Securities and Exchange Commission16 This article addresses the importance of using RevPAR to present a fuller nancial picture that is based on factors that impact room sales, such as economic conditions, weather patterns, and business and personal travel..

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6 M Datig, T Schlurmann, Performance and Limitations of the Hilbert-Huang Transformation (HHT) with an Application to Irregular Water Waves, Ocean Engineering, 31: 1783 1834, October 2004 7 DF Group, Functional Description of the Data Fusion Process, Technical Report, Of ce of Naval Technology, 1992 8 S L Hahn, Hilbert Transforms in Signal Processing Artech House, 1996 9 D L Hall, J Llinas, An introduction to Multisensor Data Fusion Proc IEEE, 1997, 85 (1): 6 23 10 N E Huang, Z Shen, S R Long, M L Wu, H H Shih, Z Quanan, N C Yen, C C Tung, H H Liu, The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and non-stationary Time Series Analysis, Proc Royal Society A, 1998, 454: 903 995 11 H H Jasper Report of the Committee on Methods of Clinical Examination in electroencephalography, Electroencephalography and Clinical Neurophysiology, (10): 370 375, 1958 12.

health psychology and is a major risk factor for most chronic diseases. There is a long history of concern with health in the psychology of adult development and aging. In each of the Handbooks of Aging, there has been a health psychology chapter (Deeg, Kardaun, & Fozard, 1996; Eisdorfer & Wilkie, 1977; M. Elias, Elias, & Elias, 1990; Siegler & Costa, 1985). Collectively, these Handbooks provide excellent reviews of the relevant literature that need not be repeated here. In this chapter, we deal with psychological studies of adults that evaluate the impact of aging on cardiovascular disease and cancer with attention to the role of cognition, personality, and social functioning that is, the health psychology of aging in the context of known diseases. We start with an overview of important aging concepts and issues. We then turn to the study of hypertension because it is especially useful in illustrating the issues that separate the effects of aging from the effects of disease on associated cognitive factors. We then turn to a review of methodological issues in the eld, summarize work in personality and social factors on disease, and point out some

D Looney, D P Danilo, A Machine Learning Enhanced Empirical Mode Decomposition (Accepted) Proc IEEE Int Conf on Acoustics, Speech, and Signal Processing (ICASSP O8), 2008 13 D Looney, L Li, T Rutkowski, D P Mandic, A Cichocki, Ocular Artifacts Removal from EEG Using EMD First Int Conf Cognitive Neurodynamics, Shanghai, China, November 2007 14 D P Mandic, M Golz, A Kuh, D Obradovic, T Tanaka, Signal Processing Techniques for Knowledge Extraction and Information Fusion Springer, 2008 15 D P Mandic, G Souretis, W Leong, D Looney, M Hulle, T Tanaka, Signal Process ing Techniques for Knowledge Extraction and Information Fusion Springer, 2007 16 A Paolin, A Manuali, F Di Paola, F Boccaletto, P Caputo, R Zanata, G P Bardin, G Simini, Reliability in diagnosis of brain death, Intensive Care Med, 21: 657 662, 1995 17 Y Saito, T Tanaka, J Cao, D P.

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