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therefore begin our exploration of Windows CE application programming with a discussion of the core Windows CE topics. We start with a brief look at the overall architecture of the Windows CE operating system. We continue with the anatomy of a typical Windows CE application. Next, programming application building blocks such as Windows CE controls and dialog boxes are covered. Part I continues with a look at how menus are included in Windows CE applications. We will see that this is very different from how menus are added to Windows 98 or Windows NT applications. The Windows CE command bar control is presented in this discussion. Part I closes with a description of programming Windows CE common controls. After completing the chapters in Part I, you will have a solid understanding of the basic principles required to write more complex Windows CE application programming.

rise in T3 alpha power (see Figure 4.6). In essence, the results of Study 1 revealed a steady decrease in left temporal activation from the early phase to the later phase of the aiming period. The magnitude of asymmetry was not evident at the occipital sites, which was expected in light of the relative similarity of neural processes at the homologous occipital sites compared to the disparity of neurocognitive processes associated with the homologous temporal sites. The findings implied that such elite performers were less and less reliant on verbal-analytical processes associated with the left temporal region as they successfully approached the trigger pull although such cortical associative activity (i.e., verbal-analytic) was prevalent during the early phase of the preparatory aiming period, perhaps to guide the marksman during the initiation of the performance. Furthermore, the similarity in the pattern of change across the aiming period over the course of the 40 shots (i.e., the nonsignificant effect for the blocks of trials) is consistent with the widely held position that elite athletes are mentally consistent. Cognitive Inference Although the results of Study 1 were suggestive of the cognitive processes involved during skilled visuomotor behavior, Hatfield et al. (1984) conducted Study 2 to validate the merit of such inference. In essence, the EEG signature during the aiming period, was compared to other EEG signa-

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and RATING = High. Therefore, the estimated logit equals g(x) = 0.5478 0.0423(4) 0.0107(135) + 0.9476(2) = 0.2663 e 0.2663 = 0.43382 1 + e 0.2663 Therefore, the estimated probability equals about 43.4% that a cereal with 4 grams of protein, 135 milligrams of sodium, and 2 grams of ber is of high nutritional value. Note that WEKA reports this same probability (except for slight rounding variations) for the rst instance in Table 4.31. It follows that the model estimates a probability equal to 1 (x) = 56.6% that this cereal has a low nutritional rating. Therefore, based on the higher probability, the model incorrectly classi ed the record as Low. Table 4.31 also shows reports the odds ratios for the three continuous predictors. (x) = For example, the odds ratio for PROTEIN is OR = eb1 = e 0.0423 = 0.9586. This is interpreted as the odds of a cereal with x + 1 grams of protein being of high nutritional value compared to a cereal with x grams of protein being highly nutritious.

E: Ad=81(I) Atr=03(Int.) MxPS= 2 Ivl=255ms T: Bus=01 Lev=01 Prnt=01 Port=00 Cnt=01 Dev#= 2 Spd=12 MxCh= 0 D: Ver= 1.10 Cls=00(>ifc ) Sub=00 Prot=00 MxPS=64 #Cfgs= 1 P: Vendor=0557 ProdID=2008 Rev= 3.00 S: Manufacturer=Prolific Technology Inc. S: Product=USB-Serial Controller C:* #Ifs= 1 Cfg#= 1 Atr=a0 MxPwr=100mA I: If#= 0 Alt= 0 #EPs= 3 Cls=ff(vend.) Sub=00 Prot=00 Driver=serial E: Ad=81(I) Atr=03(Int.) MxPS= 10 Ivl=1ms E: Ad=02(O) Atr=02(Bulk) MxPS= 64 Ivl=0ms E: Ad=83(I) Atr=02(Bulk) MxPS= 64 Ivl=0ms root@OpenWrt:~# ipkg install lsusb [...] root@OpenWrt:~# lsusb Bus 001 Device 001: ID 0000:0000 Bus 001 Device 004: ID 0557:2008 ATEN International Co., Ltd UC-232A i Serial Port [pl2303]

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