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Background: Measurement of lymphocyte subpopulations is a crucial parameter in the diagnosis and monitoring of therapy in a wide variety of clinical conditions. We compared different flow cytometry-based methods to determine lymphocyte subsets counts of routine samples by volumetric AQUIOS CL (Beckman Coulter) and bead-based FACS CANTO II (BD Biosciences) cytometers. We evaluated the possible decrease of the labor intensive technical work using the fully automated AQUIOS CL system in the pre and post analytical steps in comparison with our routine flow cytometer FACS CANTO II, toward the reduction of laboratory analytical turnaround time (TAT).

Methods: The analytical performance of AQUIOS CL flow cytometer compared with FACS CANTO II was evaluated testing 224 routine samples, attending the Immunology and Allergology Laboratory Unit, S. Giovanni di Dio Hospital, (Florence, Italy) between September and October 2015.

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With the emergence of the new possibilities offered by global computing, new security issues follow from the fact that these possibilities can be equally exploited by parties with malicious intentions. Many attacks arise at the application level, and can be tackled by means of programming language techniques. For instance, confidentiality can be violated during the execution of programs that reveal secret information. This kind of program behaviour can be avoided by information flow analyses that detect the encoding of illegal flows.

This paper studies information flows that occur in distributed programs with code mobility from a language-based security perspective. New forms of security leaks that are introduced by code mobility, which we call migration leaks, are presented and compared with well-known forms of illegal flow. We propose an information flow property that is adequate for networks consisting of a generalisation of the non-disclosure policy. We design a type and effect system for enforcing it on an expressive distributed calculus, and explain a soundness proof methodology in detail.

In metabolic networks, metabolites are produced from a set of initial metabolites, through a set of chemical reactions. These reactions produce intermediate metabolites that can be both products or reactants. We have introduced a simple and skeletal notation to describe these networks in terms of molecular entities and reaction rules that specify their interactions and that implicitly code possible causal dependencies amongst reactions. This notation permits us, on the one hand, to give to chemical reactions an abstract and intuitive representation where quantitative aspects are abstracted away; on the other hand, this representation can be straightforwardly translated into an input for the tool we developed, paving the way for in silico experiments and further tool development. To this aim, we have exploited the analogy between reaction rules and logical implications, that allows us to automatically deduce chains of causally related reactions by means of a logical-based tool. Even though we do not consider the dynamic evolution of metabolic networks, our model is sufficient to give information on which metabolites can be possibly produced and how and, therefore, to give hints on the possible flows of reactions. 006ab0faaa