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Bragg should be applauded for choosing the form of a novel – scene of the universal – rather than the predictable particularities of the misery memoir to tell his tale.
In the most novel scene, two young women sweating in a sauna share their fantasies, which include penises so long they can be used as scarves, and Osama bin Laden as a sex object: the added twist (made apparent by the peaked cap perched on a pile of clothes) is that the women are WPCs.
In between there are sessions with Will Morris and Edward Ross, two Scottish up-and-comers on the graphic novel scene, Melina Gebbie, whose work was subject to an obscenity trial under Margaret Thatcher, and Paul Gravett's second event of the day, in which he explains how he chose his 1001 must-read comics.
In this paper, we proposed a novel scene text recognition technique that performs word level recognition without character segmentation.
The joint modeling enables us to devise a novel scene adaptive and signal adaptive quantization that fully exploits the coding redundancies resulting from wavelet transform.
Thus, in this paper, we propose a novel scene text detection approach using graph model built upon Maximally Stable Extremal Regions (MSERs) to incorporate various information sources into one framework.
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But given that the novelist is, a stray detail reveals, the author of Hensher's last novel Scenes from Early Life, he is presumably also the author of the one we are reading.
But for his ninth novel, Scenes from Early Life, Philip Hensher turned the maxim on its head: the novel is a semi-fictionalised, first-person account not of his own childhood but of his Bangladeshi husband's, the human rights lawyer Zaved Mahmood.
Response speeds were faster for repeated versus novel scenes.
Differential activation is obtained in the counter task of identifying a learned target complex scene against a background of novel scenes.
To explore this question, we employed a subsequent memory design in which several novel scenes were repeated once during an fMRI session and explicit memory for the scenes was unexpectedly tested afterward.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com