By Mark Bauerlein
This surprising, strangely exciting romp into the highbrow nether areas of today's underthirty set unearths the traumatic and, finally, incontrovertible fact: cyberculture is popping us right into a society of know-nothings.
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An autobiography within the type of a philosophical diary, Little Did I Know's underlying rationale is to explain the occasions of a existence that produced the type of writing linked to Stanley Cavell's identify. Cavell recounts his trip from early youth in Atlanta, Georgia, via musical stories at UC Berkeley and Julliard, his next veering off into philosophy at UCLA, his Ph.
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Additional resources for The Dumbest Generation: How the Digital Age Stupefies Young Americans and Jeopardizes Our Future (Or, Don't Trust Anyone Under 30)
Distribution of harvest area (HA) 2. Satisfaction with rice yield and income Table 2 shows the respondents’ satisfaction with rice yield and income. The values in the table mean the proportion of respondents who answered ‘Yes’ to each question. We found that most households are not satisfied with rice yield and the subsequent income. On the other hand, it was implied that the poverty level experienced was not so serious as to worry about how to live their lives, because respondents (= head of family) were modestly satisfied with their income and they indicated they would not move to another place if they could get a higher income.
List of default field and cultivar parameters in the simulation model. 4. Remote sensing technique for optimizing field and cultivar parameters in the simulation model As mentioned in previous section, the simulation model can do a good job of estimating rice growth when one field parameter and four cultivar parameters in the simulation model can be set appropriately. Remote sensing will be helpful for optimizing these parameters using a simplex method on the regional and global scale. While there are several procedures to optimize the above-mentioned parameters using remote sensing, that shown in Fig.
Figure 15. Relationship between the cumulative LAI of January, May and September and the annual rice production. 5772/54926 It was possible to estimate the annual rice production of 2008 using the cumulative LAI of January, May and September from 2003 to 2007. This study indicates that the cumulative LAI of remotely sensed data is applicable to the estimation of rice production amount over a wide area, and the creation of each estimation equation for the irrigated paddy fields and the rainfed paddy fields will contribute to the improvement of the estimation accuracy of the annual rice production.