Ninety-eight diabetic patients (type 2) were studied together with 24 healthy normotensive controls. Microaggregates (particle scale, <25 microm) of platelets were detected by a laser scattering system. Microaggregates in the control group showed a time-dependent reversible change; however, they existed continuously in 82 of 98 diabetic patients. When platelets of diabetics were stimulated by a...

Generating synthetic datasets based on the ideas of multiple imputation is an innovative method for statistical disclosure control. The basic idea is to replace the values for some confidential variables X with several draws from the posterior predictive distribution of X given some non confidential variables Y. Since the synthetic values are based on models for the joint distribution of the da...

This paper surveys the fields of Statistical Disclosure Control (SDC) and MicroAggregation Techniques (MATs), which are both areas fundamental to the science of secure Statistical DataBases (SDBs). The paper is written from the perspective of a computer scientist with the hope that it will prove to be a source of reference material useful to researchers and practitioners in the field. The paper...

We consider the problem of securing statistical databases and, more specifically, the micro-aggregation technique (MAT), which coalesces the individual records in the micro-data file into groups or classes, and on being queried, reports, for the all individual values, the aggregated means of the corresponding group. This problem is known to be NP-hard and has been tackled using many heuristic s...

Physical and chemical soil properties were measured along a mountainous climatological Ž . gradient in the province of Alicante Spain . The objective was to evaluate how the climate affects certain soil properties at different temporal and spatial scales. These properties include infiltration, runoff and sediment concentrations resulting from rainfall simulation experiments performed in winter ...

In today’s world, governmental, public, and private institutions systematically release data which describes individual entities (commonly referred as microdata). Those institutions are increasingly concerned with possible misuses of the data that might lead to disclosure of confidential information. Moreover, confidentiality regulation requires that privacy of individuals represented in the re...

Although homo-oligomerization has been reported for several G protein-coupled receptors, this phenomenon was not studied at low concentrations of receptors. Furthermore, it is not clear whether homo-oligomerization corresponds to an intrinsic property of nascent receptors or if it is a consequence of receptor activation. Here CCR5 receptor oligomerization was studied by bioluminescence resonanc...

Often microdata sets contain attributes which are neither numerical nor ordinal, but take nominal values from a taxonomy, ontology or classification (e.g. diagnosis in a medical data set about patients, economic activity in an economic data set, etc.). Such data sets must be anonymized if transferred outside the data collector’s premises (e.g. hospital or national statistical office), say, for ...