The obtained resultats suggest that adiponectin may be a useful marker in identification of individuals with risk of developing metabolic syndrome and coronary artery disease, as well as a predictor of prediabetes.
Abstract-The transmission network plays a key role in an oligopolistic electricity market. In fact, the capacity of a transmission network determines the degree to which the generators in different locations compete with others and could also greatly influence the strategic behaviors of market participants. In such an oligopolistic framework, different agents may have distinct and sometimes opposite interests in urging or hindering certain transmission expansions. Therefore, the regulatory authority, starting from the existing grid, faces the challenge of defining an optimal network upgrade to be used as benchmark for approval or rejection of a given transmission expansion.The aim of this paper is to define the concept of reference transmission network (RTN) from an economic point of view and to provide a tool for the RTN assessment in a deregulated framework where strategic behaviors are likely to appear. A general gametheoretic model for the RTN evaluation is presented, and the solution procedure is discussed. The strategic behavior of market agents in the spot market is modeled according to a Supply Function Equilibrium approach. The impact of transmission capacity expansion on market participants' strategic behavior is studied on a three-bus test network. The RTN is computed and compared with the optimal expansion found when perfect competition among power producers is assumed.
Our study shows that individual renal vascular response to losartan treatment in diabetic patients with persistent albuminuria, could be influenced by genetic polymorphisms.
In this paper, the GRNN paradigm, as originally presented by Specht is summarised. Next, a G R " implementation of a static load model simulation is described, mnd its performance is d&uucd. A Generic Load Model is presented U a simple dynamic model suitable for wide-& implementation using a GRNN and integrating memsurement-based data. Finally, ongoing and future work are discussed, and preliminary conclusions are stated based on experience to date.The paper is application oriented. Its major contribution k the structuring of the load parameter identiflcation problem into a form conveniently handled by neural networks. Generation of a training set is facilitated by the use of a simplified dynamic equivalent load model whose parameters are easily identifled to form a training set from system measurements using least squarer procedures.Kqwu&-static dynamic load models, general regression neural networks.
developed because a experimentally measure the detailed dosimeter response is hardly [13]. However, in this case The application of the MOSFET as detectors or device assumed charged particle equilibrium, which did not exist components in Power Pulse Technique (PPT) requires in the sensitive volume of the dosimeter. Therefore their investigation of their characteristics in the radiation fields model failed to calculate the actual dose, and the outputs Limitatis iwere regarded as only a first-order approximation at best.
Limitations in measurement of MOSFET detectorTeamo u ae sdtriaino h eoie characteristics are successfully overcomed using Monte The aim of our paper is determination of the deposited Carlo program for simulation of the radiation transport energy distribution in MOSFET structure using computer through the detector structure. In this paper the calcusimulation based on Monte Carlo techniques. application possibilities of prestige FOTELP and The calculaon of deposited energy in the sensitive PENELOpE programs for computation of the deposited volume of dosimeters iS of special interest. For this energy and doze distribution in the sensitive volume of purpose advance computer programs FOTELP [16] and MSeTgy wer doze prseted.uti inthesensitivevolumeof PENELOPE [17] were used. Based on the obtained results it could be possible to propose models of
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