Bananas, Dark Worlds, and AspectH: (Group 5 Discussion)

This report summarises our idea of code clone detection in Haskell code and refactorings based on identified clones as it evolved in our group-of-three discussion

Automatic segmentation and 3D feature extraction of protein aggregates in Caenorhabditis Elegans

In the last years, it has become increasingly clear that neurodegenerative diseases involve protein aggregation, a process often used as disease progression readout and to develop therapeutic strategies. This work presents an image processing tool to automatic segment, classify and quantify these aggregates and the whole 3D body of the nematode Caenorhabditis Elegans. A total of 150 data set images, containing different slices, were captured with a confocal microscope from animals of distinct genetic conditions. Because of the animals’ transparency, most of the slices pixels appeared dark, hampering their body volume direct reconstruction. Therefore, for each data set, all slices were stacked in one single 2D image in order to determine a volume approximation. The gradient of this image was input to an anisotropic diffusion algorithm that uses the Tukey’s biweight as edge-stopping function. The image histogram median of this outcome was used to dynamically determine a thresholding level, which allows the determination of a smoothed exterior contour of the worm and the medial axis of the worm body from thinning its skeleton. Based on this exterior contour diameter and the medial animal axis, random 3D points were then calculated to produce a volume mesh approximation. The protein aggregations were subsequently segmented based on an iso-value and blended with the resulting volume mesh. The results obtained were consistent with qualitative observations in literature, allowing non-biased, reliable and high throughput protein aggregates quantification. This may lead to a significant improvement on neurodegenerative diseases treatment planning and interventions prevention

Crime Económico Não Esquecendo Crime Clássico

Fala-se hoje em dia muito e bem no crime económico e social. Crime de colarinho branco. Também crime da ocupação, profissional ou amadora. Falamos sobre direito penal económico e social. Fraude fiscal, corrupção, branqueamento de capitais, crimes da bolsa, abuso de posição dominante, etc.. Contudo, isto não podemos esquecer o crime clássico, furtos, roubos, danos, ofensas à integridade física, violação, tortura, ameaças, ofensas à honra, injúria ou difamação, abuso sexual (não apenas de crianças), violação, homicídios domésticos ou entre estranhos, etc.. § There is talk nowadays long and hard in the economic and social crime. White collar crime. Also crime of occupation, professional or amateur. We talk about economic and social criminal law. Tax fraud, corruption, money laundering, stock crimes, abuse of dominant position, etc .. However, this can not forget the classic crime, theft, robbery, damage, bodily harm, rape, torture, threats, insults to honor, slander or defamation, sexual abuse (not just children), rape, domestic or among strangers murders, etc ..