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Tamarix ramosissima and related species, large shrubs or trees that are native to Eurasia, have become dominant woody species along rivers of the desert Southwest (Harris, 1966). Vast portions of the Colorado River, Gila River, and Salt River ood plains, for example, are dominated by Tamarix species as well as by the native shrub Pluchea sericea. The replacement of species-rich communities by homogenous thickets of single species, be they native or exotic, can be symptomatic of dam-related reductions in uvial disturbances and/or imposition of stressors that select for a small number of stress-tolerant species. Many management practices in riparian corridors, including reduced ood pulsing, have caused oodplain soils to become saltier, drier, and nutrient-poor (Stevens, 1989; Busch and Smith, 1995). These factors have favored stress-tolerant species such as Tamarix (Glenn et al., 1998; Busch, 1995). Tamarix are capable of great osmotic adjustment in saline soils (Decker, 1961; Shafroth et al., 1995; Glenn et al., 1998). They are deeper rooted and more able than native Populus and Salix trees to persist on the available soil moisture at sites where groundwater is below rooting depths (Horton, 1972; Busch and Smith, 1995; Stromberg, 1998b). When rivers ood less frequently and at different seasons than their climatic legacies dictate, exotic species may gain a recruitment and survival advantage. Like the Populus and Salix they have widely replaced, Tamarix annually produce large crops of tiny, wind-dispersed seeds that germinate

code then registers the new location with the Grid information service In some cases, the requested computational resource may not be available (2) If that happens, the application further migrates the code until the request is accepted New, more powerful resources could become available (eg, the application becomes aware of newly available resources from the feedback loop with Grid resource management middleware), leading the simulation to migrate to a faster cluster As the initial simulation runs, the application may perform these or one or more of the following scenarios In the scenario denoted with (3), huge amounts of simulation result data will require storage, either local to the simulation or at geographically dispersed locations If remote storage is necessary, then the application itself creates an on-demand network connection and streams data to the site.

These ve concept groups were approved by SMG. It was stressed that they are open to contributions by all companies. During the summer and early autumn the initial technical proposals which showed great variations were analysed and integrated into one common technical concept per concept group. 8.2.3.4.2 The Agreement on the UTRA Decision Procedure at SMG#23 in October 1997 It was expected that the UTRA decision planned at SMG#24 in December 1997 would be highly controversial, since there was so much interest from different manufacturers involved, and that a consensus would be very dif cult to achieve. I proposed therefore a procedure to SMG#23 in October 1997 with the following main elements:

End-user U1 Move through the shopping environment U2 Select items of interest U3 Receive (i) pictures of items, (ii) text, (iii) audio, (iv) motion video, (v) still and animated graphics, that describe items U4 Talk to a real sales person (audio only or audio video), who knows the context of the application (for future consideration) U5 Control media clips, including repeat, pause, and abort U6 Authorise payment/purchase of goods U7 Enquire about and alter previous purchase (orders) including requesting exchange/return authorisation U8 Being able to make a hard copy U9 Reserve products/services U10 Select payment method Service provider S1 Provide the shopping environment S2 Request media clips to be sent to the user S3 Send media clips to the user S4 Process user s order items S5 Keep an intermediate list of acquired Content provider C1 Provide media clips for products C2 Provide information about price, availability, delivery times, special conditions C3 Categorisation of material for electronic selection C4 Determine layout of virtual store C5 Assign products to virtual departments Network provider N1 Transport various data formats down to the user including: motion video, still pictures, audio, text and graphics N2 Transport information from the content providers or service providers to the server, in order to have rapid updates on product information N3 Allow for the dynamic addition/deletion of connections between the end user and additional servers (i.e. if the user clicks on an item that has a video clip, then a video pipe must be set-up to the user)

p12 M12 (s) 1 p01 p10 M01 (s)M10 (s)

In scenario (3), the application has tried to access the remote storage site but the storage resources were not available at the time of the request When that happens, the application may either schedule the storage services or migrate the request to another available storage site As the amount of data collected or generated for simulations continues to grow, data mining techniques increasingly require the use of high-end visualization tools as an alternative to analysis methods based on statistical or artificial intelligence techniques Visualization exploits the human perception to identify structures, patterns, and anomalies by visually presenting abstract data, letting the user explore the complex information and draw his or her own conclusions, as seen with the black hole data from simulations.

COM naming is more complicated to use than CORBA. COM naming is not orthogonal to other COM operations.

where dpacc:comp is the vector of compensation parameter errors and Cbody is the nav coordinate transformation matrix from body- xed coordinates to navigation coordinates (e.g., CRPY from Eq. C.93). ENU The velocity error sensitivities to each of the compensation parameters will be the integral over time of the acceleration sensitivities, and the position error sensitivities to each of the compensation parameters will be the integral over time of the velocity sensitivities. However, the accelerations must be transformed into navigation coordinates before integration: dvnav t dvnav t0 dvnav t0 % dvnav t0 t t t