Context-awareness privacy in data communications

Internet users consume online targeted advertising based on information collected about them and voluntarily share personal information in social networks. Sensor information and data from smart-phones is collected and used by applications, sometimes in unclear ways. As it happens today with smartphones, in the near future sensors will be shipped in all types of connected devices, enabling ubiquitous information gathering from the physical environment, enabling the vision of Ambient Intelligence. The value of gathered data, if not obvious, can be harnessed through data mining techniques and put to use by enabling personalized and tailored services as well as business intelligence practices, fueling the digital economy. However, the ever-expanding information gathering and use undermines the privacy conceptions of the past. Natural social practices of managing privacy in daily relations are overridden by socially-awkward communication tools, service providers struggle with security issues resulting in harmful data leaks, governments use mass surveillance techniques, the incentives of the digital economy threaten consumer privacy, and the advancement of consumergrade data-gathering technology enables new inter-personal abuses. A wide range of fields attempts to address technology-related privacy problems, however they vary immensely in terms of assumptions, scope and approach. Privacy of future use cases is typically handled vertically, instead of building upon previous work that can be re-contextualized, while current privacy problems are typically addressed per type in a more focused way. Because significant effort was required to make sense of the relations and structure of privacy-related work, this thesis attempts to transmit a structured view of it. It is multi-disciplinary - from cryptography to economics, including distributed systems and information theory - and addresses privacy issues of different natures. As existing work is framed and discussed, the contributions to the state-of-theart done in the scope of this thesis are presented. The contributions add to five distinct areas: 1) identity in distributed systems; 2) future context-aware services; 3) event-based context management; 4) low-latency information flow control; 5) high-dimensional dataset anonymity. Finally, having laid out such landscape of the privacy-preserving work, the current and future privacy challenges are discussed, considering not only technical but also socio-economic perspectives.

Evaluation of circulating endothelial progenitor cells by multicolor flow cytometry in chronic kidney disease patients

Endothelial dysfunction and impaired endothelial regenerative capacity play a key role in the pathogenesis of cardiovascular disease, which is one of the major causes of mortality in chronic kidney disease (CKD) patients. Circulating endothelial cells (CEC) may be an indicator of vascular damage, while circulating endothelial progenitor cells (EPC) may be a biomarker for vascular repair. However, the simultaneously evaluation of CEC and EPC circulating levels and its relation were not previously examined in CKD population. A blood sample (18ml) of healthy subjects (n=10), early CKD (n=10) and advanced CKD patients (n=10) was used for the isolation of early and late EPCs, CECs, and hematopoietic cells, identified by flow cytometry (BD FACSCanto™ II system) using a combination of fluorochrome-conjugated primary antibodies: CD31-PE, CD45-APC Cy7, CD34-FITC, CD117-PerCp Cy5.5, CD133-APC, CD146-Pacific Blue, and CD309-PECy7. Exclusion of dead cells was done according to a fixable viability dye staining. This eightcolor staining flow cytometry optimized protocol allowed us to accurate simultaneously identify EPCs, CECs and hematopoietic cells. In addition, it was also possible to distinguish the two subpopulations of EPCs, early and late EPCs subpopulation, by CD45intCD31+CD34+CD117-CD133+CD309-CD146- and CD45intCD31+CD34+CD117-CD133-CD309+CD146- multiple labeling, respectively. Moreover, the identification of CECs and hematopoietic cells was performed by CD45-CD31+CD34-/lowCD117-CD133-CD309-CD146+ and CD34+CD117+, respectively. The levels of CECs were non-significantly increased in early CKD (312.06 ± 91.34) and advanced CKD patients (191.43±49.86) in comparison with control group (103.23±24.13). By contrast, the levels of circulating early EPCs were significantly reduced in advanced CKD population (17.03±3.23) in comparison with early CKD (32.31±4.97), p=0.04 and control group (36.25 ± 6.16), p=0.03. In addition the levels of late EPCs were significantly reduced in both advanced (6.60±1.89), p=0.01, and early CKD groups (8.42±2.58), p=0.01 compared with control group (91.54±29.06). These results were accompanied by a dramatically reduction in the recruitment, differentiation and regenerative capacity indexes in CKD population. Taken together, these results suggest an imbalance in the process of endothelial repairment in CKD population, and further propose that the indexes of recruitment, differentiation and regenerative capacity of EPCs, may help to select the patients to benefit from guiding intervention strategies to improve cardiovascular health by inducing vascular protection.