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Transcripts For CSPAN3 Politics Public Policy Today 20140826

The arsenal at harpers ferry. There is no mention of the there thought of freeing the slaves. T theres none of that. None of it does it imply. Does it imply that it was a good thing . Oh, no. Its almost encyclopedic. A its one of those entries like e let me get the facts down and lets be done. Done. In fairness, most were done like that. Its odd they would have fas commemorated that. The it, too, is part of john t brown is part of kind of a segregationist memory,ever white supremacist memory, as wa well, because everyone agreed that john brown was crazy, right . In my High School History rown d textbook, we had a picture of john brown and there was an aust article that studies pictures or john brown because there are fairly neutral pictures of john brown and then there are pictures that make him look crazy. My textbook had the crazy picture. And my picture had the caption, john brown, possibly a monomaniac. Nice neutral statement for your history textbook. So the booklet is fascinating

A six-armed robot for precision pollination

A six-armed robot for precision pollination
techxplore.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from techxplore.com Daily Mail and Mail on Sunday newspapers.

AI-Doctor s accuracy in retinal disease detection redefines medical diagnosis

INFINIQ unveiled Dataset Quality Analytics Report to Ensure Dataset Quality

Frontiers | Southwestern Atlantic ocean fronts detected from the fusion of multi-source remote sensing data by a deep learning model

In the Southwestern Atlantic, the Falkland Current intrudes onto the South American shelf, resulting in the meeting of two water masses which are completely different in temperature and dynamic characteristics, thus generating the Southwestern Atlantic Front (SAF). Therefore, the SAF has prominent characteristics of thermal and dynamics. The current ocean front detection is mainly by performing gradient operations on sea surface temperature (SST) data, where regions with large temperature gradients are considered as ocean fronts. The thermal gradient method largely ignores the dynamical features, leading to inaccurate manifestation of SAF. This study develops a deep learning model, SAFNet, to detect the SAF through the synergy of 10-year (2010-2019) satellite-derived SST and sea surface height (SSH) observations to achieve high accuracy detection of SAF with fused thermal and dynamic characteristics. The comparative experimental results show that the detection accuracy of SAFNet reache

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