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FIGURE 17.6. Milling prisms by replication.
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In planning for others, planning is also a kind of problem solving. The planners try to reach goals taking constraints into account. Domain knowledge that is, knowledge of the properties of object types is essential. The same conceptual apparatus of problem solving that was used in the case of planning for yourself applies here, too. The planners also learn, although the organization as such literally does not learn. But planners learn themselves and from others, making things more complex. The planners in the organization also use representations of future states (simulations). Also the multiresolutional perspective that is necessary in the case of planning for yourself is applied in planning for others. It is usual in planning in organizations to determine capacities, constraints, and properties at high, intermediate, and low levels. Also in this case one goes from low resolution to high resolution. Three important things, however, are different between planning for yourself and planning for others: the kind of actor, communication, and coordination complexity. An organizational actor is essentially different from a human actor. Communication within a human actor goes on smoothly; nothing has to be formulated and represented explicitly. Concerning planning for yourself, this is of course different in the case of natural actors (humans) compared to arti cial actors (robots). In Sections 18.5 and 18.6 we discussed this. In the case of human actors and planners in an organization, communication has to be explicitly formulated or coded. And because formulations without ambiguity and model restrictions do not exist, many possibilities for misunderstanding emerge. As such, planning for others is again more complex than planning for yourself. The last difference concerns the role of coordination. In planning for others, coordination has to be explicit. The various human actors that constitute organizations need coordination to keep attuned, to stay cohesive, or to keep the organization going. This is another kind of extra complexity compared to planning for yourself. A general theory of planning does not exist and will not emerge as a result of our efforts to assess the various planning approaches. However, we strongly believe that there are more similarities than differences. Or at least we tried to emphasize the similarities. Anyway, planning requires intelligence, representations, and a multiresolutional perspective. Perhaps it is even possible to see planning for yourself and planning for others in a multiresolutional line. Planning for yourself is high resolution and planning for others is low resolution with often a change in domain. The former is nested within the latter. Or is it the other way around
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Nonprofits are also beginning to take advantage of the new types of volunteer services that individuals can offer in whole or in part via the Internet. Virtual volunteering offers opportunities to those who might otherwise not be able to contribute. This might include people with disabilities who find it difficult to volunteer in person, or those who, because of work or family responsibilities, are not available to come to an organization s offices during regular hours. A recent study indicates that virtual volunteers are more likely to be people who want to commit a smaller amount of time and also are more likely to be new volunteers.9 Virtual volunteering activities can include such valuable contributions as peer counseling, mentoring, editing and translation of documents, Web design and other technical services, professional consulting, online marketing, and advocacy. Volunteers might complete some or all of their work on their home computers and communicate via e-mail and telephone. There are good indications that if a volunteer is matched with an organization through an online database rather than through traditional means, that volunteer, perhaps not surprisingly, is much more likely to undertake a virtual volunteering activity.10 The Virtual Volunteering Project Web site (www.serviceleader.org/vv) provides a rich set of resources for both volunteers and organizations interested in these new possibilities. Articles include information on how to establish a virtual volunteering program and how to make e-mail communications more effective; there is also a detailed guidebook to virtual volunteering by Susan Ellis and Jayne Cravens.11
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Figure 8-9: The New View dialog box. View names can be up to 255 characters and can include spaces. As I explained in Table 8-2, you can save a category, a layer snapshot, a User Coordinate System, a live section, and a visual style with a view. Select the Current Display option button to use the current display as the view. Otherwise, click the Define View Window button, and specify a window around the view that you want. Choose OK to return to the View dialog box, where you see your new view listed. Click OK to return to your drawing.
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The first step to running your computer safely is to run safer software (some, no doubt, would prefer that you remain entirely abstinent, but I believe in computer education). Safer software is software that does what you say it s
Figure 2.12 Second-harmonic load-pull results for power-added ef ciency
To further model the liquid hydrogen cryogenic pump, the pbCFD default grid size (21x71x21) and stretch factor (1.2) was used to continue this study. The inlet conditions were created in CCAD 4, with the total pressure and temperature set to the standard reference conditions. The solution took about 20 CPU minutes on a Pentium 400 MHz platform to converge to within 1 per cent of the air-equivalent compressor flow rate. The predicted rotor efficiency was 0.9655, within half a point of the measured data. The rotor head rise coefficient was measured at 0.7; the pbCFD value was \f = 0.79. In the computed pbCFD solution, there existed recirculation regions near the splitter blade suction surface and in front of the LE, which were observed from previous pbCFD computations. Figures 5.18 to 5.22 show the computed streamlines. Computed streamlines are shown on a number of key surfaces in this pump. Figure 5.18 is located close to the main blade pressure surface and nearly collateral flow is observed, although a small bubble appears to exist just before the leading edge of the main blade. The leading edge is not shown distinctly in this figure, but it is perpendicular to the axis of the plot and is located just aft of the little bubbles shown along the shroud streamline. Similar results are shown near the suction side of the splitter blade, and again, some evidence of a small recirculation zone in front of the leading edge may be observed with larger recirculation downstream of this point, but upstream of the splitter blade (location not shown, but approximately after the separation vortex). Streamline results adjacent to the pressure side are as displayed in Fig. 5.20. The separation zone is small and the distortion in the streamlines is only moderate. Near the mid-channel region, between the splitter and the blade, the flow field is more complex as shown in Fig. 5.21. On the suction side of the main blade, the flow becomes very complex with considerable secondary flow in some regions with local recirculation displayed as revealed in Fig. 5.22. Within the parameters available to influence this design, the condition could not be improved further.
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Therefore, we set the defocusing coef cient B 5:0 10 3 and the spherical aberration coef cient G 5:0 10 3 . These interferograms without B C 0 and with B 5:0 10 3 tilt are shown in Figures 2.43(c,f). The fringe patterns at the medium focus with B 10:0 10 3 are in Figures 2.43(b,e). 3. Coma. All the patterns for coma were obtained using F 5:0 10 3 . Figure 2.44 shows them for the paraxial focus D 0 and Figure 2.45 with a small defocusing D 5:0 10 3 . In both gures the central pattern has no tilt E F 0 and the surrounding pictures are for different tilt combinations B 5:0 10 3 ; C 5:0 10 3 . 4. Astigmatism. All the patterns for astigmatism were computed for C 3:0 10 3 . If 0, we obtain the Petzval focus. The OPD for astigmatism can be written from Eq. (2.36) as OPD D E x2 D 3E y2 : 2:58
Ethernet network interface card (NIC) or modem with a speed of at least 28,800 bps A CD-ROM drive For system requirements for AutoCAD 2006 and AutoCAD LT 2006, see Appendix A.
An oligonucleotide can be designed and synthesized to hybridize speci cally to a particular piece of DNA or RNA (e.g. part of a gene, a ribosome or a virus) according to the rules of Watson Crick base pairing. When coupled with the use of in situ polymerase chain reaction (which allows ampli cation of a target sequence), this technique gives a sensitive and speci c means of locating DNA or RNA in cells. If pyrimidine nucleotides labelled with uorescein are incorporated into the oligonucleotide, double-stranded hybrids with the target sequence will be visible. Non- uorescent oligonucleotide labels such as digoxigenin and biotin can be used in the same way but these must be detected with the aid of uorescently-labelled antibodies as described above. This technique has been used in a wide range of studies in biochemistry including elucidation of chromatin structure, the detection of viruses and in positional cloning (i.e. the location of defective genes in chromosomes by phenotype mapping without prior knowledge of the functional basis of disease). In situ hybridization can also be used in combination with immunostaining to demonstrate, for example, colocalization of mRNA and translated protein or to identify the location of viruses in viral infections.
FIGURE F.8 Example of ATM usage: 9-nm lines in mica written with an AFM. (Courtesy: DFG-Center for Functional Nanostructures, Universit t Karlsruhe, Germany).
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