Soft computing agents for e-Health in application to the research and control of unknown diseases

This paper presents an ontology-based holonic diagnostic system (OHDS) that combines the holonic paradigm with multi-agent system technology and ontology design, for the organization of unstructured biomedical research into structured disease information. We use ontologies as ‘brain’ for the holonic diagnostic system to enhance its ability to structure information in a meaningful way and share information fast. To integrate distributed heterogeneous knowledge available on the Web we use intelligent agents augmented by the mechanisms of the technology of fuzzy sets, which automatically structures the information in the adequate ontology template. Our vision of how this system implementation should be supported by a solid security shield that ensures the privacy and safety of medical information concludes the paper.     

Influence of a prefilming treatment on the corrosion resistance of aluminium brass in aqueous solutions

The influence of a short-time prefilming treatment with benzimidazole-2-thiol on the corrosion resistance of Cu Zn 22Al 2 has been examined. The efficiency of the prefilming treatment has been evaluated by recording the anodic and the cathodic polarization curves in 0.1 N NaCl. Ellipsometric measurements have been carried out in order to obtain some information on the properties of the layer. Comparative data on “prefilmed” and “bare” Cu Zn 22Al2 specimens have been obtained in aqueous chloride solutions circulating in a corrosion loop and by tests in moist atmosphere containing SO₂. Galvanic corrosion testing have been carried out by using small not prefilmed areas and large prefilmed ones, simulating in this way the partial removal of the film from the metallic surface. The results suggest that a metal-inhibitor film forms on Al-brass, which mainly affects the cathodic reaction rate. Furthermore, the tests clearly indicate that the effect of benzimidazole-2-thiol is strongly influenced by a pre-existing oxide layer on the alloy surface. A good protection against atmospheric corrosion is reached by prefilming treatment. Corrosion loop testing indicate that prefilming does not hinder the formation of protective corrosion products on the surface of the alloy in flowing aqueous solutions.     

Distributed Computation Multi-agent System

This article addresses a formal model of a distributed computation multi-agent system. This model has evolved from the experimental research on using multi-agent systems as a ground for developing fuzzy cognitive maps. The main paper contribution is a distributed computation multi-agent system definition and mathematical formalization based on automata theory. This mathematical formalization is tested by developing distributed computation multi-agent systems for fuzzy cognitive maps and artificial neural networks – two typical distributed computation systems. Fuzzy cognitive maps are distributed computation systems used for qualitative modeling and behavior simulation, while artificial neural networks are used for modeling and simulating complex systems by creating a non-linear statistical data model. An artificial neural network encapsulates in its structure data patterns that are hidden in the data used to create the network. Both of these systems are well suited for formal model testing. We have used evolutionary incremental development as an agent design method which has shown to be a good approach to develop multi-agent systems according to the formal model of a distributed computation multi-agent system.     

Player behavior and traffic characterization for MMORPGs: a survey

Massively Multiplayer Online Role-Playing Games (MMORPGs) are one of the most exciting and most rapidly expanding genres of online games. This survey presents state-of-the-art and current research efforts in measuring, characterizing, and modeling the player behavior and the network traffic, as well as the relationships between them. We also tabulate the measurement, modeling and analysis results regarding network traffic and player behavior found in literature, with key information regarding each dataset. Finally, we list currently confirmed claims and open research questions in the area of MMORPGs.     

Biofuel developments in Mozambique. Update and analysis of policy,potential and reality

Climate change, rising oil prices and concerns about future energy supplies have contributed to a growing interest in using biomass for energy purposes. Several studies have highlighted the biophysical potential of biofuel production on the African continent, and analysts see Mozambique as one of the most promising African countries. Favorable growing conditions and the availability of land, water and labor are mentioned as major drivers behind this potential. Moreover, the potential of biofuel production to generate socio-economic benefits is reflected in the government’s policy objectives for the development of the sector, such as reducing fuel import dependency and creating rural employment. This article provides an overview of biofuel developments in Mozambique and explores to what extent reality matches the suggested potential in the country.     

Multilayers of Ge nanocrystals embedded in Al2O3 matrix: Structural and electrical studies

In this paper, Ge/Al₂O₃ multilayer systems were grown by pulsed laser ablation. The grown samples were annealed at 900 °C to promote the formation of Ge nanocrystals. Rutherford backscattering spectroscopy and transmission electron microscopy confirmed the presence of a multilayer system. Grazing incidence small angles X-ray scattering technique demonstrates the formation of Ge nanoclusters formed between alumina layers. Room temperature I-V measurements showed weak carrier trapping in the system. This was explained by the leakage caused by Ge diffusion through the multilayer.     

Deconvolution Combined with Digital Colocalization Analysis to Study the Spatial Distribution of Tight and Adherens Junction Proteins

The relative spatial distribution of proteins was investigated with immunofluorescent methods by confocal laser scanning microscopy and digital image restoration. For confocal data sets recorded with a voxel dimension of 50 × 50 × 150 nm noise and blur can be decreased and the resolution in the z-axis increased by applying the maximum likelihood estimation algorithm of the Huygens software. This approach was successfully applied to the study of tight and adherens junctions in relation to the actin cytoskeleton in Madin Darby Canine Kidney cells. Colocalization analysis was done for pairs of probes using a histogram-based method. F-actin, occludin, zonula occludens 1, and E-cadherin were included in the study. Double-labeled preparations were used. The combination of deconvolution with the colocalization of confocal data sets offers a powerful tool to investigate the spatial arrangement of proteins.     

Entrapment of Saccharomyces cerevisiae cells in u.v. crosslinked hydroxyethylcellulose/poly(ethylene oxide) double-layered gels

Double-layered gels, consisting of hydroxyethylcellulose cryogel core and poly(ethylene oxide) hydrogel shell, were synthesized with u.v. irradiation, using the same photoinitiator, (4-benzoylbenzyl) trimethylammoniumchloride (BBTMAC) for the both layers. The gels were characterized by measuring their rheological parameters, gel fraction yield, the degree of equilibrium swelling and diffusion coefficient. The diffusion coefficients for glucose and ethanol through the hydroxyethylcellulose cryogel were 3.9 × 10^?6 cm²/s and 0.97 × 10^?5 cm²/s, respectively. The applicability of these double-layered gels as carriers for immobilization was investigated by entrapment of Saccharomyces cerevisiae cells. The immobilization efficiency and cell retention were determined in batch fermentation for ethanol production from glucose. The operational stability of the gels was evaluated in batch fermentation with three consecutive runs. The ethanol yield was in the range from 60% to 77% of the theoretical yield.     

Relative importance of macrophyte community versus water quality variables for predicting fish assemblages in coastal wetlands of the Laurentian Great Lakes

Fish have been shown to be sensitive indicators of environmental quality in Great Lakes coastal wetlands. Fish composition also reflects aquatic macrophyte communities, which provide them with critical habitat. Although investigators have shown that the relationship between water quality and fish community structure can be used to indicate wetland health, we speculate that this relationship is a result of the stronger, more direct relationship between water quality and macrophytes, together with the ensuing interconnection between macrophyte and fish assemblages. In this study, we use data collected from 115 Great Lakes coastal marshes to test the hypothesis that plants are better predictors of fish species composition than is water quality. First we use canonical correspondence analysis (CCA) to conduct an ordination of the fish community constrained by water quality parameters. We then use co-correspondence analysis (COCA) to conduct a direct ordination of the fish community with the plant community data. By comparing the statistic ‘percent fit,’ which refers to the cumulative percentage variance of the species data, we show that plants are consistently better predictors of the fish community than are water quality variables in three separate trials: all wetlands in the Great Lakes basin (whole: 21.2% vs 14.0%; n = 60), all wetlands in Lakes Huron and Superior (Upper: 20.3% vs 18.8%; n =  32), and all wetlands in Georgian Bay and the North Channel (Georgian Bay: 18% vs 17%; n =  70). This is the largest study to directly examine plant–fish interactions in wetlands of the Great Lakes basin.