Titlebook: Ordinary and Partial Differential Equations; Proceedings of the F William N. Everitt,Brian D. Sleeman Conference proceedings 1976 Springer-

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ingenue

Harold E. Benzinger type of accounts in microblogs that only has media attributes publishing original and valuable messages), and explicitly calculate the influence of the publishers of these tweets. Experimental results demonstrate the effectiveness of our method compared to state-of-the-art baselines.

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L. Collatzf clicks. This model takes into account the specific characters of users with different influence levels to improve the predictive accuracy. The experiments, based on Twitter data, show the predictive performance is significantly higher than the baseline.

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diabetes

C. Conleyto discriminate the online conversations in the first week S0 from the other subgroups. Topics and psycho-linguistic features were found to be highly valid predictors of the subgroups, possibly providing an important step in understanding social media and its use in studies of smoking and other addi

吝嗇性

M. S. P. Easthamntific publications for the last four decades were discovered. A comparison on the emotional information with other online user-generated media, including online encyclopedias, web-logs, forums, and micro-blogs, was conducted. Advances in cluster computing are employed to process large scale data, w

Offensive

to discriminate the online conversations in the first week S0 from the other subgroups. Topics and psycho-linguistic features were found to be highly valid predictors of the subgroups, possibly providing an important step in understanding social media and its use in studies of smoking and other addi

Prophylaxis

W. N. Everitt type of accounts in microblogs that only has media attributes publishing original and valuable messages), and explicitly calculate the influence of the publishers of these tweets. Experimental results demonstrate the effectiveness of our method compared to state-of-the-art baselines.

compose

W. E. Fitzgibbont a high school where the 48 participants are aged 16–17. The result provides the evidence that sensing teens’ chronic stress is feasible through the open micro-blog, and the identified stress level change patterns allow us to find useful regulations of teens’ stress transition and to give sensible

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