A new 3D modelling paradigm for discrete model

Until few years ago, 3D modelling was a topic confined into a professional environment. Nowadays technological innovations, the 3D printer among all, have attracted novice users to this application field. This sudden breakthrough was not supported by adequate software solutions. The 3D editing tools currently available do not assist the non-expert user during the various stages of generation, interaction and manipulation of 3D virtual models. This is mainly due to the current paradigm that is largely supported by two-dimensional input/output devices and strongly affected by obvious geometrical constraints. We have identified three main phases that characterize the creation and management of 3D virtual models. We investigated these directions evaluating and simplifying the classic editing techniques in order to propose more natural and intuitive tools in a pure 3D modelling environment. In particular, we focused on freehand sketch-based modelling to create 3D virtual models, interaction and navigation in a 3D modelling environment and advanced editing tools for free-form deformation and objects composition. To pursuing these goals we wondered how new gesture-based interaction technologies can be successfully employed in a 3D modelling environments, how we could improve the depth perception and the interaction in 3D environments and which operations could be developed to simplify the classical virtual models editing paradigm. Our main aims were to propose a set of solutions with which a common user can realize an idea in a 3D virtual model, drawing in the air just as he would on paper. Moreover, we tried to use gestures and mid-air movements to explore and interact in 3D virtual environment, and we studied simple and effective 3D form transformations. The work was carried out adopting the discrete representation of the models, thanks to its intuitiveness, but especially because it is full of open challenges.

Integrating omics in prion diseases as a model to explore the strain paradigm in neurodegenerative diseases

This project aims at deepening the understanding of the molecular basis of the phenotypic heterogeneity of prion diseases. Prion diseases represent the first and clearest example of “protein misfolding diseases”, that are all the neurodegenerative diseases caused by the accumulation of misfolded proteins in the central nervous system. In the field of protein misfolding diseases, the term “strain” describes the heterogeneity observed among the same disease in the clinical and pathologic progression, biochemical features of the aggregated protein, conformational memory and pattern of lesions. In this work, the two most common strains of Creutzfeldt-Jakob Disease (CJD), named MM1 and VV2, were analyzed. This thesis investigates the strain paradigm with the production of new multi omic data, and, on such data, appropriate computational analysis combining bioinformatics, data science and statistical approaches was performed. In this work, genomic and transcriptomic profiling allowed an improved characterization of the molecular features of the two most common strains of CJD, identifying multiple possible genetic contributors to the disease and finding several shared impaired pathways between the VV2 strain and Parkinson Disease. On the epigenomic level, the tridimensional chromatin folding in peripheral immune cells of CJD patients at onset and of healthy controls was investigated with Hi-C. While being the first application of this very advanced technology in prion diseases and one of the first in general in neurobiology, this work found a significant and diffuse loss of genomic interactions in immune cells of CJD patients at disease onset, particularly in the PRNP locus, suggesting a possible impairment of chromatin conformation in the disease. The results of this project represent a novelty in the state of the art in this field, both from a biomedical and technological point of view.