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: UBIWISE, a Ubiquitous Wireless Infrastructure Simulation Environment Technical Report, HPL-2002-303, Hewlett-Packard Laboratories, Palo Alto, 2002 [6] Barton JJ and Vijayaraghavan V: UBIWISE, a Simulator for Ubiquitous Computing Systems Design Technical Report, HPL-2003-93, Hewlett-Packard Laboratories, Palo Alto, 2003 [7] Battestini A and Flanagan JA: Modelling and Simulating Context Data in a Mobile Environment Proceedings of the Workshop on Context Awareness for Proactive Systems (CAPS 2005, Helsinki, Finland, June 2005), Helsinki University Press, 2005, pp 127 136 [8] Battestini A and Flanagan JA: Analysis and Cluster-based Modeling and Recognition of Context in a Mobile Environment In 2nd International Workshop on Modeling and Retrieval of Context (MRC2005, IJCAI Workshop, Edinburgh, Scotland, Aug 2005) [9] Bechhofer S: DIG 20: The DIG Description Logic Interface "September 9, 2006 DIG 20: The DIG Description Logic Interface September 9, 2006 Online: digcsmanchesteracuk.

Table 7.1 Statistics on direct use of groundwater for a range of countries worldwide. (Collated from Clarke and King (2004) plus World Resources Institute (www.earthtrends.wri.org). Most data relate to 2000/01. Countries not shown in the table apparently don t collect (or don t publish) the relevant statistics.) Country Total annual groundwater withdrawal (km3) Groundwater abstraction averaged per capita (m3/year) Groundwater abstraction as % of total water abstraction* Groundwater use by category of application (as % of total groundwater abstracted) A

Figure 4.3 The CMDBAR application button bitmap. After the bitmap has been added to the command bar, the CommandBar_AddButtons call adds the buttons to the command bar: CommandBar_AddButtons(hwndCB, uNumButtons, lpButtons);

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[10] Bechhofer S, van Harmelen F, Hendler J, Horrocks I, McGuinness D, Patel-Schneider P and Stein LA: OWL Web Ontology Language Reference W3C Recommendation, The Worldwide Web Consortium, February 2004 [11] Bechhofer S, Liebig T, Luther M, Noppens O, Patel-Schneider P, Suntisrivaraporn B, Turhan A-Y and Weith ner T: DIG20: Towards a exible interface for description logic reasoners Proceedings of the OWL: o Experiences and Directions Workshop at the 5th International Semantic Web Conference ISWC 06, (Athens, Georgia, November 2006) [12] Bechhofer S, M ller R and Crowther P: The DIG Description Logic Interface: DIG/11 Proceedings of the o 2003 International Workshop on Description Logics (DL 03, Rome, Italy, June 2003) [13] BeTelGeuse homepage Online: wwwcshelsinki /group/acs/betelgeuse/ [14] B hm S, Luther M, Koolwaaij J.

(D. Chambless, 1996; D. Chambless & Ollendick, 2001; Crits-Christoph, 1996; Meehl, 1997; Nathan & Gorman, 2002; Rehm, 1997). Others are more skeptical of empirically supported approaches citing limitations to these approaches (B. Cooper, 2003; Garfield, 1996; Havik & VandenBos, 1996; Ingram et al., 2000). Skeptics often cite problems such as the difficulty making the generalization from research findings to actual clinical practice and the complexity of each unique individual as reasons for being less enthusiastic about the development of these treatment approaches. Nonetheless, contemporary clinical psychology research focuses on developing empirically

spatially variable initiation points. When one hand needed to travel farther than the other hand to the perceived interception point, it traveled faster to synchronize time of arrival. Movement initiation time data revealed that the limbs began to move at identical moments in time under three task constraints varying the distances that hands needed to travel. Despite the left and right limbs having to move farther under the three constraints, both limbs set off at the same time when performing the catch: MIT 208 ( 18) ms, 204 ( 22) ms, and 196 ( 30) ms. Velocity and acceleration data also supported the idea that the two hands formed a coordinative structure to achieve the interception goal. The largest interlimb difference for time to peak velocity was 5 ms, with velocity traces of the two limbs showing a synchronous pattern throughout the entire movement; the largest interlimb difference in time to peak acceleration was 6 ms (see Figure 10.6). The slip-catching problem is solved by integrating the motor system degrees of freedom into a single unit of coordination that can be regulated by the central nervous system. Bimanual Coordination Modes Emerge under Differing Practice Task Constraints Two-handed tasks such as slip fielding and batting are often practiced with the use of ball projection machines,

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