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When a file of your specified type is created or modified, Spotlight calls your importer s GetMetadataForFile function. The attributes parameter is a dictionary that you use to store any metadata you extract from the file. The type of the file is passed in the contentTypeUTI parameter. Your importer gets access to the file s contents by using the pathToFile parameter. In your GetMetadataForFile function, you read the file, examine its contents, extract any metadata, and add it to the attributes dictionary. Then you sit back and enjoy watching Spotlight search your files.

(b) Centrifuge tube with cell pellet at 300 g for 10 min at 4 C. (c) Aspirate supernate carefully without destroying the cell pellet. (d) Add 300 l cell lysis solution to each tube. (e) Disintegrate the pellet with a pipette tip by pipetting 20 times up and down. (f) Incubate at room temperature for 48 h. (g) Centrifuge tube at 300 g for 10 min at 4 C. (h) Transfer the supernate into a clean, labeled tube. Avoid disruption of the pellet. (i) Run ALP assay immediately. Note: If you intend to perform the DNA Assay on the same samples, take the amount of sample needed for the ALP Assay (80 l) out and incubate the rest of the sample for 48 h at room temperature. Proceed with Protocol 13.10A, step (i) for scaffolds and with Protocol 13.10B, step (g) for pellets. C. ALP Assay (a) Prepare a sample/standard setup table in your lab-book and dilute p-nitrophenol standards as follows. 1 mM p-Nitrophenol (ml) in Triton X-100 + MgCl2 0 0.05 0.2 0.6 0.9 (b) (c) Triton X-100 0.2% (v/v) + 5 mM MgCl2 (ml) 1 0.95 0.8 0.4 0.1 Final P-Nitrophenol Concentration ( g/ml) 0 6.955 27.82 83.46 125.19

Click the Sites button. Another window opens. In the blank box, type https:// followed by the address of a commercial Web site that can always be trusted, such as your bank, credit-card company, e-merchants, Web mail, and so on (see Figure 11-4). Be sure to include the s after http. For example, you type https://www.hotmail.com to make Hotmail a trusted site.

Hardy and Riehl (1988) found that injured athletes overall had significantly higher NLE than noninjured athletes, but injured female athletes reported higher scores on TLE compared to uninjured females Both TLE and NLE significantly predicted injury across sports, but analyses within sports indicated injured softball players reported higher TLE, baseball players higher NLE, and track athletes higher object loss (eg, loss of a significant other through death, divorce, separation) compared to equivalent uninjured players Except for track, none of the stress measures predicted injuries in the specific sports In track, both TLE and object loss predicted injuries These findings led Hardy and Riehl to conclude that the life stress injury relationship is influenced by both the athlete s sex and the sport Hardy, O Connor, and Geisler s (1990) study of Division I soccer players supported the conclusion that gender affects the relationship between life stress and injury.

The reason gender would affect the stress-injury relationship, however, is unclear The preceding differences aside, almost all studies that assessed life events found at least some significant relationship between life stress and injury This almost universal finding is itself compelling, but even more so considering it occurred across sports and competitive levels (youth to elite level) and with diverse measures of life stress and definitions of injury Researchers used eight questionnaires to assess life stress, and the criteria for injury varied from requiring treatment from an athletic trainer but no need to reduce practice time or modify activity (eg, Blackwell & McCullagh, 1990), to time loss requiring missing more than a week of practice (eg, Coddington & Troxell, 1980) These different operational definitions make it impossible to determine relative injury risk across sports and competitive levels and across positive versus negative stressors.