The Global Campus - ICT and the Future of Universities

This paper analyses the changes which the ICT causes on a global scale. The globalization of higher education triggered by e-Learning, the emergence of e-infrastructure for e-science, the Open Educational Resources movement, e-libraries and the tendency of building global educational alliances are analysed as well. Special emphasis is put on several wellknown university models, e.g. Research University, Open University and Entrepreneurial University, as well as on some emerging university models for the Knowledge Society, such as: Global University and Innovation University. The paper puts in focus the influence of the ICTs and the new organizational and business models they bring, such as Virtual University, eCampus, Enterprise 2.0, University 2.0. A new university model is defined—the Global Campus Model. Some arguments that the ultimate result of the ICTs driven transformations could turn the whole world into a Global Campus in the next few decades.

Dynamic Ontologies in Information Security Systems

Different types of ontologies and knowledge or metaknowledge connected to them are considered and analyzed aiming at realization in contemporary information security systems (ISS) and especially the case of intrusion detection systems (IDS) or intrusion prevention systems (IPS). Human-centered methods INCONSISTENCY, FUNNEL, CALEIDOSCOPE and CROSSWORD are algorithmic or data-driven methods based on ontologies. All of them interact on a competitive principle ‘survival of the fittest’. They are controlled by a Synthetic MetaMethod SMM. It is shown that the data analysis frequently needs an act of creation especially if it is applied to knowledge-poor environments. It is shown that human-centered methods are very suitable for resolutions in case, and often they are based on the usage of dynamic ontologies

Bivirtual Organization as a Queuing System

The main features of virtual organizations are outlined. The mathematical models of functioning of virtual organization are offered on the basis of theory of queuing systems. Characteristics of efficiency are examined.

Parameterized Link Functions in Generalized Linear Random Effect Models: a Case Study on Breast Cancer Treatment

In non-linear random effects some attention has been very recently devoted to the analysis ofsuitable transformation of the response variables separately (Taylor 1996) or not (Oberg and Davidian 2000) from the transformations of the covariates and, as far as we know, no investigation has been carried out on the choice of link function in such models. In our study we consider the use of a random effect model when a parameterized family of links (Aranda-Ordaz 1981, Prentice 1996, Pregibon 1980, Stukel 1988 and Czado 1997) is introduced. We point out the advantages and the drawbacks associated with the choice of this data-driven kind of modeling. Difficulties in the interpretation of regression parameters, and therefore in understanding the influence of covariates, as well as problems related to loss of efficiency of estimates and overfitting, are discussed. A case study on radiotherapy usage in breast cancer treatment is discussed.