They attract hipsters before, eventually, being displaced by them and their new middle-class neighbours.
It is certainly the motivating factor in this abrasive comedy by Torben Betts that deals with the disruptive impact of a bourgeois couple on their working-class neighbours.
When he moved in 1943 to Delamere Terrace on the Grand Union canal, the first of five addresses in Paddington, London, several of his Irish working-class neighbours became models, especially the brothers Charlie and Billy.
Defiant and more than a little deranged, she runs rings around her prim, middle-class neighbours (strong turns from Lu Corfield and Amelia Lowdell), as she denies them the security of polite conversation.
But her middle-class neighbour, Kay, persuades her that the judges chose her because of her status.
It's the wrong place, because if you live on certain estates, or in certain streets, or in certain postcodes, you'll see joining a gang as a natural rite of passage, like your middle-class neighbour's gap year.
"What's the point of us stripping at all?" one dancer sighs.Officials in Scottsdale, a higher-class neighbour of Phoenix, have fretted for some time that the sex business encourages crime and is not good for growth.
For every conventional comic scene – Ria's calamitous cookery, a car prang, keep-fit class, nosy neighbour or family squabble – there was an internal Ria monologue or dream sequence.
The two-dimensional structure of the three α-chains and one β-chain were predicted using five prediction programs (discrimination of secondary structure class; nearest neighbour secondary structure, profile network from Heidelberg; self-optimised prediction method from multiple alignment, SSPAL).
These include the linear discriminant classifier (LDC), quadratic discriminant classifier (QDC), uncorrelated normal density-based classifier (UDC), polynomial classifier (POLYC), logistic classifier (LOGLC), k-class nearest neighbour (KNNC), decision tree (TREEC), Parzen classifier (PARZENC), and the support vector machine (SVC) [ 86].
Our results show an improvement on existing studies by as much as 10% in most cases with a sensitivity of 93%, specificity of 94%, and area under the curve of 98% with a 6% global error using a k-class nearest neighbour classifier.
