Proteomics enables understanding the composition, structure, function and interactions of the entire protein complement of a cell, a tissue, or an organism under exactly defined conditions. Some factors such as stress or drug effects will change the protein pattern and cause the present or absence of a protein or gradual variation in abundances. Changes in the proteome provide a snapshot of the...

In this demonstration we present an approach to engineering service brokering requirements and capabilities using the concepts of Service Modes. The demonstration illustrates building service modes in UML2 with Rational Software Modeller, transforming modes in WSEngineer and generating artefacts for runtime service brokering. 1 The Service Modes Approach A mode, in the context of service engine...

XCS is a complex machine learning technique that combines credit apportionment techniques for rule evaluation with genetic algorithms for rule discovery to evolve a distributed set of sub-solutions online. Recent research on XCS has mainly focused on achieving a better understanding of the reinforcement component, yielding several improvements to the architecture. Nonetheless, studies on the ru...

One of the most important directions in improvement of the datamining and knowledge discovery methods is the integration of the multiple classification techniques based on ensembles of classifiers. An integration technique should solve the problem of estimation and selection of the most appropriate component classifiers for an ensemble. We discuss an advanced dynamic integration of multiple cla...

One of the important directions in improvement of the data-mining and knowledge discovery methods is the integration of multiple classification techniques. An integration technique should estimate and then select the most appropriate component classifiers from an ensemble of classifiers. We discuss an advanced dynamic integration technique with multiple classifiers as one variation of the stack...

Composition Primitives” is a novel component model targeting .NET. The model facilitates composition across component programming frameworks via an adaptation mechanism external to the component. Constructing adapters is relatively inexpensive, because the model is minimal and focused on just one concern: offering enough information to support composition. Although small, the model supports sta...

The self-organization of recurrent feature-discovery networks is studied from the perspective of dynamical systems. Bifurcation theory reveals parameter regimes in which multiple equilibria or limit cycles coexist with the equilibrium at which the networks perform principal component analysis.

helicobacter pylori :28 µg/ml).   (h. pylori) infection leads to different clinical and pathological outcomes in humans, including chronic gastritis, peptic ulcer disease and gastric neoplasia and even gastric cancer and its eradiation dependst upon multi-drug therapy. the most effective therapy is still unknown and prompts people to make great efforts to find better and more modern natural or ...

expert discovery is a quest in search of finding an answer to a question: “who is the best expert of a specific subject in a particular domain within peculiar array of parameters?” expert with domain knowledge in any field is crucial for consulting in industry, academia and scientific community. aim of this study is to address the issues for expert-finding task in real-world community. collabor...

BACKGROUND Constructivist approaches to learning focus on learning environments in which students have the opportunity to construct knowledge themselves, and negotiate this knowledge with others. Discovery learning and collaborative learning are examples of learning contexts that cater for knowledge construction processes. We introduce a computer-based learning environment in which the two form...