Quantitative measures of image quality and reliability are critical for both qualitative interpretation and quantitative analysis of medical images. While, in theory, it is possible to analyze reconstructed images by means of Monte Carlo simulations using a large number of noise realizations, the associated computational burden makes this approach impractical. Additionally, this approach is les...

In this paper we present black-box models of work-load diierence and use them to develop quantitative methods for the design of benchmark suites. The proposed design methods (the method of optimum subsets , and the method of optimum weights) combine a new concept of program space coverage functions, and the criteria of completeness, redundancy, density, and granularity of benchmark suites.

Introduction: Research in the area of health has been traditionally dominated by quantitative research. However, the complexity of illhealth, which is socially constructed by individuals, health personnel and health authorities have motivated the search for other forms to approach knowledge. Aim: To discuss the complementarities of qualitative and quantitative research methods in the generation...

Quantum integrable systems have very strong mathematical properties that allow an exact description of their energetic spectrum. From the Bethe equations, I formulate the Baxter “T-Q” relation, that is the starting point of two complementary approaches based on nonlinear integral equations. The first one is known as thermodynamic Bethe ansatz, the second one as Klümper-Batchelor-Pearce-Destride...

One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large e...

Controlled variables selection based on economic objectives using self optimizing concepts are developed. In this paper, we extend the self optimizing control ideas to find optimal controlled variables in the regulatory layer. The regulatory layer is designed to facilitate stable operation, to regulate and to keep the operation in the linear operating range and its performance is here quantifie...

Preface The contributions to this volume are selected and peer-reviewed papers on the basis of talks which were delivered on the QUALICO 2012 was, as usual, open to original papers without any limitations as to thematic or methodological aspects. Therefore, a large variety of topics has been addressed and numerous fields of linguistics and related fields have been touched. A number of contribut...

CASPUR allows many academic Italian institutions located in the CentreSouth of Italy to access more than 7 million of articles through a digital library platform. We analyzed the behaviour of its users by considering their “traces” stored into the web server log file. Using several Web Mining and Data Mining techniques we discovered that there is a gradual and dynamic change in the way how arti...

Radiomics extracts and mines large number of medical imaging features quantifying tumor phenotypic characteristics. Highly accurate and reliable machine-learning approaches can drive the success of radiomic applications in clinical care. In this radiomic study, fourteen feature selection methods and twelve classification methods were examined in terms of their performance and stability for pred...

The article summarises findings from a qualitative study that was conducted in rural Uganda, East Africa. The main aim of the study was to investigate the accessibility and use of health information in the lower echelons of Primary Health Care (PHC). Women, as PHC providers in an African family, were focussed on, as well as health workers. An interview schedule that consisted of open questions ...