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The world's perennial need for energy and microelectronic miniaturization brings with it a broad set of technological and scientific challenges. Materials characterized by precise microstructural architectures based on fractal analysis and ranging in size down to nano scale represent an important avenue for finding novel solutions. Deep materials structure hierarchies of this type open new possibilities in capacity according to the Heywang model, especially when extended by a fractals approach and intergranular relationships supported and recognized by their fractal nature. These developments are opening new frontiers in microelectronics miniaturization. They build on early fractal applications that were used as tools in miniaturization research and also provided application perspectives for diverse energy technologies. In other words, fractals, as a crucial concept of modern theoreticalexperimental physics and materials sciences, are tightly linked to higher integration processes and microelectronics miniaturization. They also hold potential for meeting the energy exploitation challenge. In this research context, for the first time we characteristics -for example, fractal dimensions and final properties of nextgeneration fractal microelectronics.

The nature of an electromagnetic fi eld is not the same outside and inside a biological subject. Numerical bioelectromagnetic simulation methods for penetrating electromagnetic fi elds facilitate the calculation of fi eld components in biological entities. Calculating energy absorbed from known sources, such as mobile phones when placed near the head, is a prerequisite for studying the biological infl uence of an electromagnetic fi eld. Such research requires approximate anatomical models which are used to calculate the fi eld components and absorbed energy. In order to explore the biological effects in organs and tissues, it is necessary to establish a relationship between an analogous anatomical model and the real structure. We propose a new approach in exploring biological effects through combining two different techniques: 1) numerical electromagnetic simulation, which is used to calculate the fi eld components in a similar anatomical model and 2) Magnetic Resonance Imaging (MRI), which is used to accurately locate sites with increased absorption. By overlapping images obtained by both methods, we can precisely locate the spots with maximum absorption effects. This way, we can detect the site where the most pronounced biological effects are to be expected. This novel approach successfully overcomes the standard limitations of working with analogous anatomical models. Arh Hig Rada Toksikol 2013;64:159-168 KEY WORDS: accurate locating, computational bioelectromagnetic modelling, electromagnetic fi eld, specifi c absorption rate (SAR) Krstić et al. PREDICTING BIOLOGICAL EFFECTS OF MOBILE PHONE RADIATION

This paper presents the distributi inside a human head as well as around the el source, i.e. the mobile phone. Specific Abso which is obtained inside a human head and due to exposure to electric field from m presented. For this research two different mo have been used. In the first case electromag biological tissues of human head were volumetric interpolation function tha characteristics of a given tissue inside the hu the second case model with layers was used. T human head parts (skin, fat tissue, muscles brain). The parts of the human head a electromagnetic properties (conductivity, el and magnetic permeability). In order to obta distribution for different cross-sections calculation based on the Finite Integration T Finite Element Method (FEM) was performed

A brief review of derivation of two groups of approximate closed form expressions for the electrical scalar potential (ESP) Green functions that originates from the current of the point ground electrode (PGE) in the presence of a spherical ground inhomogenity, are presented in this paper. The PGE is fed by a very low frequency periodic current through a thin isolated conductor. One of approximate solutions is proposed in this paper. Known exact solutions that have parts in a form of infinite series sums are also given in this paper. Here, the exact solution is solely reorganized in order to facilitate comparison to the closed form solutions, and to estimate the error introduced by the approximate solutions. Finally, error estimation is performed comparing the results for the electrical scalar potential obtained applying the approximate expressions and accurate calculations. This is illustrated by numerous numerical experiments.