Clinico-laboratory characteristics and treatment of patients with trichinosis

The severity of clinical features of trichinosis and cardiac involvement incidence were examined in the study. The values of eosinophiles, serum enzymes and serologic response to T. spiralis were determined in relation to the disease severity. Twenty-nine patients, of mean age from 24 to 29 years treated in the Clinic in the period from January to April 1995 were presented-7 with severe form of trichinosis, 10 with moderately severe and 12 with light. The fever was noticed in 93.1% of patients, gastrointestinal disorders in 65.5%, myalgias in 96.6%, facial edema in 79.3%, cardiac disorders in 31% and rash in 20.7%. Positive IIF test result was found in 100% of patients with severe clinical features, and only in 58.3% of patients with light clinical features. The patients were treated with mebendazole in the dose of 25 mg/kg BM a day during 14 days. It was concluded that severe trichinosis forms were frequently followed by myocardial damage, that severe forms responded faster and better serologically to trichinella and those patients should be treated with high mebendazole doses.     

Small‐signal and noise modeling of class of HEMTs using knowledge‐based artificial neural networks

In this article, the neural network approach is exploited for development of bias‐dependent small‐signal and noise models of a class of microwave field effect transistor (FETs) made in the same technology but differing in the gate width. The prior knowledge neural approach is applied. Introducing gate width at the input of proposed neural networks, as well as the S/noise parameters of a device that belongs to the same class as the modeled device representing the prior knowledge, leads to very accurate scattering and noise parameters' modeling, as exemplified by modeling of class of pseudomorphic high electron mobility transistor (pHEMT) devices. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2013.     

Subsumptive general solutions and parametric general solutions of Post equations

In this paper we generalize Rudeanu’s results from [13] to Post algebras. We give a necessary and sufficient condition for the existence of a Post function f such that the set of solutions of equation f(x) = 0 is a given interval. We also prove that every Post transformation is the parametric solution of some consistent Post equation.     

Neural approach for temperature‐dependent modeling of GaN HEMTs

Gallium nitride high electron‐mobility transistors have gained much interest for high‐power and high‐temperature applications at high frequencies. Therefore, there is a need to have the dependence on the temperature included in their models. To meet this challenge, the present study presents a neural approach for extracting a multi‐bias model of a gallium nitride high electron‐mobility transistors including the dependence on the ambient temperature. Accuracy of the developed model is verified by comparing modeling results with measurements. Copyright © 2014 John Wiley & Sons, Ltd.     

The dependence of the photocatalytic activity of TiO2/carbon nanotubes nanocomposites on the modification of the carbon nanotubes

Nanostructural TiO₂/modified multi-wall carbon nanotubes photocatalysts were prepared by hydrolysis of Ti(iso-OC₃H₇)₄ providing chemical bonding of anatase TiO₂ nanoparticles onto oxidized- or amino-functionalized multi-wall carbon nanotubes (MWCNT). The processes of functionalization of the MWCNT and the deposition of TiO₂ influence the photocatalytic activity of the synthesized nanocomposites. The phase composition, crystallite size, and the structural and surface properties of the obtained TiO₂/modified-MWCNT nanocomposite were analyzed from XRD, FEG-SEM, TEM/HRTEM and FTIR data, as well low temperature N₂ adsorption. In the photocatalytic study, the TiO₂/oxidized-MWCNT catalyst showed the highest and the TiO₂/amino functionalized-MWCNT catalysts somewhat lower degradation rates, indicating that the enhancement of photocatalysis was supported by the more effective electron transfer properties of the oxygen- than amino-containing functional groups, which support the efficient charge transportation and separation of the photogenerated electron-hole pairs.     

Effects of natural and synthetic surface active substances on the electrochemical reduction of cadmium in natural waters

Effects of surface active substances, natural and synthetic, in selected samples of seawater, river water and industrial effluents on the oxidation-reduction processes of cadmium have been studied by electrochemical methods and compared with the behaviour of different model compounds.Kinetic parameters, transfer coefficient α and apparent standard rate constant of the cadmium electrode reaction have been estimated from the shape and the height of the corresponding differential pulse voltammograms using theoretical curves obtained by digital simulation of the electrode process. The measure of the inhibition effect of surface active substances on the electrode reaction of cadmium was expressed in terms of the ratio of the rate constants determined in the presence and in the absence of surface active substances.It was found that the degree of inhibition depends on the concentration and type of surface active substances and on the pH of solution.     

New neural method for bias dependent noise modelling of microwave transistors

A new method for accurate determination of noise parameters of microwave transistors for various bias conditions is proposed in this paper. The proposed model consists of a transistor empirical noise model (modification of Pospieszalski’s noise model) and two artificial neural networks. With the aim to avoid extraction of the empirical model parameters for each bias point, an artificial neural network is used to introduce bias-dependence of the equivalent circuit parameters. Accuracy of such bias-dependent model is further improved by using an additional neural network aimed to correct the noise parameters’ values. The proposed modeling approach is exemplified by modelling of a MESFET device in packaged form. The noise parameters obtained by the simulation agree well with the measured data.     

Development of protease nanobiocatalysts and their application in hydrolysis of sunflower meal protein isolate

In this study, the suitability of fumed silica nanoparticles (FNS) and its derivatives (amino-modified FNS (AFNS), cyanuric chloride-activated AFNS (CCAFNS) and epoxy-modified FNS (GFNS)), for covalent immobilisation of two commercial protease preparations Alcalase^® and Flavourzyme^® was investigated. The highest hydrolytic activities of immobilised preparations were 25 IU g⁻¹ support (Alcalase-GFNS) and 2.95 IU g⁻¹ support (Flavourzyme-CCAFNS). Furthermore, the immobilised preparations showed 43% and 20% of initial specific activities of commercial protease preparations, respectively. Flavourzyme-CCAFNS also exhibited the highest exopeptidase activity of 22.83 L-pNAU g⁻¹ support. Finally, these two nanobiocatalysts were successfully applied for hydrolysis of sunflower meal protein isolate (SMPI), providing two times higher hydrolysis yields in comparison to free enzymes, justifying the applied immobilisation process. Namely, the highest hydrolysis yield (30%) was gained by the sequential hydrolysis with Alcalase-GFNS and Flavourzyme-CCAFNS, which resulted in the formation of small hydrophobic and hydrophilic peptides, ≤5 kDa, confirmed by HPLC analysis and electrophoretic separation.