Learning and playing in Web 3.0: Evidence from Serious Games in Higher Education

Educational institutions are rapidly rethinking their pedagogical models and approaches to teaching and learning, increasingly adapting to traits and characteristics of learners. Personalization of learning, participative activities, and online interaction are changing learning models and approaches. In this chapter we will look at the phenomenon of learning through the lens of the participatory paradigm through which we interpret new paths of learning. Evidences from two Serious Games will be presented, arguing that the playful aspect embodied in these games is key to learners’ engagement. Implications for teaching and learning practices will be discussed in relation to potential directions that participatory approaches might take

EEG signal analysis for epileptic seizures detection by applying Data Mining techniques

seizures, which severely impact the quality of life of epilepsy patients and sometimes are accompanied by loss of consciousness. The most widely accepted and used tool by epileptologists to identify seizures and diagnose epilepsy is the ElectroEncephaloGram (EEG). Seizure detection on EEG signals is a long process, which is done manually by epileptologists. This paper describes how to analyze EEG signal using Data Mining methods and techniques with the main objective of automatically detect a seizure within EEG signals. We have designed and developed a multipurpose and extendable tool for feature extraction from time series data, named Training Builder. Our trained classifier, based on signal processing, sliding window paradigm, features extraction and selection, and Support Vector Machines, showed excellent results, reaching an accuracy of over 99% during the test made on publicly available EEG datasets

Quantum computational logics and possible applications

In quantum computational logics meanings of formulas are identified with quantum information quantities: systems of qubits or, more generally, mixtures of systems of qubits. We consider two kinds of quantum computational semantics: 1) a compositional semantics, where the meaning of a compound formula is determined by the meanings of its parts; 2) a holistic semantics, which makes essential use of the characteristic "holistic" features of the quantum-theoretic formalism. The compositional and the holistic semantics turn out to characterize the same logic. In this framework, one can introduce the notion of quantum-classical truth table, which corresponds to the most natural way for a quantum computer to calculate classical tautologies. Quantum computational logics can be applied to investigate different kinds of semantic phenomena where holistic, contextual and gestaltic patterns play an essential role (from natural languages to musical compositions)

INSULIN-DEPENDENT DIABETES MELLITUS AND SEVERE ATOPIC DERMATITIS IN A CHILD WITH ADENOSINE DEAMINASE DEFICIENCY

8nonenoneNOTARANGELO LD; STOPPOLONI G; TORALDO R; E. MAZZOLARI; COLETTA A; AIRO P; BORDIGNON C; UGAZIO AGNotarangelo, Ld; Stoppoloni, G; Toraldo, R; Mazzolari, Evelina; Coletta, A; Airo, P; Bordignon, C; Ugazio, A

A girl with diabetes and severe combined immunodeficiency from adenosine deaminase deficiency

We present a girl with severe combined immunodeficiency (SCID) from adenosine deaminase (ADA) deficiency who developed insulin dependent diabetes mellitus (IDDM). This combination of features has not been previously reported. Because HLA typing (DQbeta-57 Asp/Asp and DQalpha-52 Ser/Ser) showed no alleles usually associated with IDDM, and ICA were repeatedly negative even after treatment with PEG-ADA and gene transplant, hypotheses on the pathogenesis of diabetes mellitus in this patient are discussed