Perceptual maps analysis for organic food consumers in China: a study on Shanghai consumers

Although in Europe and in the USA many studies focus on organic, little is known on the topic in China. This research provides an insight on Shanghai consumers’ perception of organic, aiming at understanding and representing in graphic form the network of mental associations that stems from the organic concept. To acquire, process and aggregate the individual networks it was used the “Brand concept mapping” methodology (Roedder et al., 2006), while the data analysis was carried out also using analytic procedures. The results achieved suggest that organic food is perceived as healthy, safe and costly. Although these attributes are pretty much consistent with the European perception, some relevant differences emerged. First, organic is not necessarily synonymous with natural product in China, also due to a poor translation of the term in the Chinese language that conveys the idea of a manufactured product. Secondly, the organic label has to deal with the competition with the green food label in terms of image and positioning on the market, since they are easily associated and often confused. “Environmental protection” also emerged as relevant association, while the ethical and social values were not mentioned. In conclusion, health care and security concerns are the factors that influence most the food consumption in China (many people are so concerned about food safety that they found it difficult to shop), and the associations “Safe”, “Pure and natural”, “without chemicals” and “healthy” have been identified as the best candidates for leveraging a sound image of organic food .

La navigazione nella chirurgia oncologica ortopedica: Applicazione ed implementazione di nuove tecnologie per il trattamento chirurgico dei tumori dell'apparato muscolo-scheletrico, studio pilota

Nel presente progetto di ricerca, da novembre 2011 a novembre 2013 , sono stati trattati chirurgicamente, con l’assistenza del navigatore , pazienti con tumori ossei primitivi degli arti, del bacino e del sacro, analizzando i risultati degli esami istologici dei margini di resezione del tumore e i risultati clinici e radiografici. Materiali e metodi : Abbiamo analizzato 16 pazienti 9 maschi e 7 femmine , con un'età media di 31 anni (range 12-55 ). Di tutti i pazienti valutati 8 avevano una localizzazione agli arti inferiori , 4 al bacino e 4 all'osso sacro . Solo quelli con osteosarcoma parostale , Cordoma e Condrosarcoma non sono stati sottoposti a terapia antiblastica . Solo un paziente è stato sottoposto a radioterapia postoperatoria per una recidiva locale . Tutti gli altri pazienti non sono stati trattati con la radioterapia per l’ adeguatezza dei margini di resezione . Non ci sono state complicanze intraoperatorie . Nel periodo postoperatorio abbiamo osservato una vescica neurologica , una paresi sciatica, due casi di infezione di cui una superficiale e una profonda, tutti e quattro i pazienti con sarcoma sacrale sviluppati hanno avuto ritardato della guarigione della ferita e di questi tre hanno avuto incontinenza sfinterica. In tutti i casi si è ottenuta una eccellente risultato clinico e radiografico , con soddisfazione del paziente , corretto contatto tra l'osteotomia e l'impianto che apparivano stabili ai primi controlli ambulatoriali ( FU 19 mesi). Risultati: La chirurgia assistita da calcolatore ha permesso di migliorare l’esecuzione delle resezioni ossee prevista dal navigatore. Questa tecnologia è valida e utile per la cure dei tumori dell’apparato scheletrico, soprattutto nelle sedi anatomiche più complesse da trattare come la pelvi, il sacro e nelle resezioni intercalari difficoltose nell’ottenere un margine di resezione ampio e quindi di salvare l’articolazione e l’arto stesso.

Scene Reconstruction And Understanding By RGB-D Sensors

This thesis investigates interactive scene reconstruction and understanding using RGB-D data only. Indeed, we believe that depth cameras will still be in the near future a cheap and low-power 3D sensing alternative suitable for mobile devices too. Therefore, our contributions build on top of state-of-the-art approaches to achieve advances in three main challenging scenarios, namely mobile mapping, large scale surface reconstruction and semantic modeling. First, we will describe an effective approach dealing with Simultaneous Localization And Mapping (SLAM) on platforms with limited resources, such as a tablet device. Unlike previous methods, dense reconstruction is achieved by reprojection of RGB-D frames, while local consistency is maintained by deploying relative bundle adjustment principles. We will show quantitative results comparing our technique to the state-of-the-art as well as detailed reconstruction of various environments ranging from rooms to small apartments. Then, we will address large scale surface modeling from depth maps exploiting parallel GPU computing. We will develop a real-time camera tracking method based on the popular KinectFusion system and an online surface alignment technique capable of counteracting drift errors and closing small loops. We will show very high quality meshes outperforming existing methods on publicly available datasets as well as on data recorded with our RGB-D camera even in complete darkness. Finally, we will move to our Semantic Bundle Adjustment framework to effectively combine object detection and SLAM in a unified system. Though the mathematical framework we will describe does not restrict to a particular sensing technology, in the experimental section we will refer, again, only to RGB-D sensing. We will discuss successful implementations of our algorithm showing the benefit of a joint object detection, camera tracking and environment mapping.