Quantifying Self-Organization with Optimal Wavelets

The optimal wavelet basis is used to develop quantitative, experimentally applicable criteria for self-organization. The choice of the optimal wavelet is based on the model of self-organization in the wavelet tree. The framework of the model is founded on the wavelet-domain hidden Markov model and the optimal wavelet basis criterion for self-organization which assumes inherent increase in statistical complexity, the information content necessary for maximally accurate prediction of the system's dynamics. At the same time the method, presented here for the one-dimensional data of any type, performs superior denoising and may be easily generalized to higher dimensions.Comment: 12 pages, 3 figure

Marine Gelatine from Rest Raw Materials

pre-printIn recent years, demand for consumption of marine foods, and especially fish, has substantially increased worldwide. The majority of collagen available is sourced from mammalian-derived products. Although fish derived gelatine is a viable alternative to mammalian sourced gelatine, there are some challenges related to the use of fish gelatine including odour, colour, gelling and film forming properties as well as consistency in gelatine amino acid composition. Chemicals used for pre-treatment, as well as extraction conditions such as temperature and time, can influence the length of polypeptide chains that result and the functional properties of the gelatine. Compared to mammalian sources, gelatines derived from fish show notable differences in physical and chemical properties, and great care should be paid to optimization of the production process in order to obtain a product with the best properties for intended applications. The focus of this review is to explore the feasibility of producing gelatine sourced from marine processing by-products using different pre-treatment and extraction strategies with the aim of improving the techno-functional properties of the final product and improving the clean-label status of gelatines. The bioactivities of gelatine hydrolysates are also discussed

Characterization of the size and position of electron-hole puddles at a graphene p-n junction

The effect of an electron-hole puddle on the electrical transport when governed by snake states in a bipolar graphene structure is investigated. Using numerical simulations we show that information on the size and position of the electron-hole puddle can be obtained using the dependence of the conductance on magnetic field and electron density of the gated region. The presence of the scatterer disrupts snake state transport which alters the conduction pattern. We obtain a simple analytical formula that connects the position of the electron-hole puddle with features observed in the conductance. Size of the electron-hole puddle is estimated from the magnetic field and gate potential that maximizes the effect of the puddle on the electrical transport.Comment: This is an author-created, un-copyedited version of an article published in Nanotechnology. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at doi:10.1088/0957-4484/27/10/10520

Open-end investment funds in Croatia

This work discusses investment funds in Croatia, with a particular emphasis on openend investment funds. After a short review of the development of the funds, the perception of the funds is analysed, as are the trends in total assets and in average yields. The degree of concentration of open-end investment funds is shown with statistical measures of concentration (the Gini Coefficient, the Lorenz Curve and concentration ratios). All these indicators show that the concentration is moderate to strong. The greatest yields are given by the equity funds, but these are also the most risky.investment funds, open-end investment funds, bond fund, equity fund, mixed fund, money fund, Gini coefficient, Lorenz curve, Croatia

The rationale for a wider concept of Inclusive Education for teacher education: A case-study of Serbia

Teacher education for inclusive education (IE) is recognized as vital for improving quality and equity in education globally. In the Western Balkan countries it is also part of the transition process towards joining the European Union and has attracted international funding for IE-related projects. A key finding from research funded by the European Training Foundation, carried out by the authors as members of a seven-country research team in 2009-2010, was that the prevailing local understanding of IE was very narrow. In this article we hypothesize the reasons for this finding. We use a case study of school and teacher education systems in Serbia to explore how this understanding has constrained the development of IE and associated teacher education and limited the efficacy of some recent internationally supported developments. We identify both challenges and possible ways forward for teacher education for IE based on promoting a concept of IE that is both collaboratively agreed and comprehensive. © 2012 UNESCO IBE

Veselago lensing in graphene with a p-n junction: classical versus quantum effects

The feasibility of Veselago lensing in graphene with a p-n junction is investigated numerically for realistic injection leads. Two different set-ups with two narrow leads are considered with absorbing or reflecting side edges. This allows us to separately determine the influence of scattering on electron focusing for the edges and the p-n interface. Both semiclassical and tight-binding simulations show a distinctive peak in the transmission probability that is attributed to the Veselago lensing effect. We investigate the robustness of this peak on the width of the injector, the position of the p-n interface and different gate potential profiles. Furthermore, the influence of scattering by both short- and long-range impurities is considered.Comment: 10 pages, 7 figure