Inferring mixed-culture growth from total biomass data in a wavelet approach

It is shown that the presence of mixed-culture growth in batch fermentation processes can be very accurately inferred from total biomass data by means of the wavelet analysis for singularity detection. This is accomplished by considering simple phenomenological models for the mixed growth and the more complicated case of mixed growth on a mixture of substrates. The main quantity provided by the wavelet analysis is the Hölder exponent of the singularity that we determine for our illustrative examples. The numerical results point to the possibility that Hölder exponents can be used to characterize the nature of the mixed-culture growth in batch fermentation processes with potential industrial applications. Moreover, the analysis of the same data affected by the common additive Gaussian noise still lead to the wavelet detection of the singularities although the Hölder exponent is no longer a useful parameter.     

Binary,ternary and microencapsulated celecoxib complexes with β-cyclodextrin formulated via hydrophilic polymers

Cyclodextrins are cyclic oligosaccharides, capable of forming inclusion complexes with many active substances. This way, the aqueous solubility and rate of dissolution of active substances can be changed. For this research we have selected celecoxib as the model active substance, due to its low water solubility, high lipophilicity, and high intestinal permeability. Usually, the amount of cyclodextrin complex that can be incorporated into a pharmaceutical dosage form is limited. The usage of hydrophilic polymers can overcome this problem. In this study, we wanted to point out the potential of various types of hydrophilic polymers for enhancing the complex formation efficiencies, and to highlight the possible use of alginate as a solubility stabilizer/enhancer and as a microsphere matrix polymer. The phase solubility investigation showed greater stability constants (> 250 M^?1) in ternary complexes than in the binary complex, which is a good indicator of the complex formation enhancer properties of these hydrophilic polymers. The relative solubilizing efficiency decreased in the next order: PVP K25 (6.49) > Sodium alginate (6.26) > PEG 6000 (5.72) > without polymer (4.81). The DSC curves showed that all samples that were prepared with β-cyclodextrin (both complexes and physical mixtures) had lower melting endotherms at 160 °C than pure celecoxib. XRD confirmed the complex formation by partial celecoxib amorphisation. The dissolution studies of the prepared microspheres revealed that all samples had different release rates (shown by the similarity factor f₂, which was 36.37, 42.46 and 38.11 % respectively) and that the use of β-cyclodextrin increased the dissolution rate of celecoxib from alginate microspheres in a controlled manner. We concluded that sodium alginate could act as a complex stabilizing/enhancing agent and as a microsphere matrix polymer, at the same time.     

Application of multifractal wavelet analysis to spontaneous fermentation processes

An algorithm is presented here to get more detailed information, of mixed-culture type, based exclusively on the biomass concentration data for fermentation processes. The analysis is performed with only the on-line measurements of the redox potential being available. It is a two-step procedure which includes an Artificial Neural Network (ANN) that relates the redox potential to the biomass concentrations in the first step. Next, a multifractal wavelet analysis is performed using the biomass estimates of the process. In this context, our results show that the redox potential is a valuable indicator of microorganism metabolic activity during the spontaneous fermentation. In this paper, the detailed design of the multifractal wavelet analysis is presented, as well as its direct experimental application at the laboratory level.     

Long-range correlations in hadron-nucleus interactions

An analysis of correlations in rapidity of charged particles produced in proton and antiproton interactions on hydrogen, argon and xenon at 200 GeV is presented. Positive long-range correlations are observed in interactions on heavy targets. The dependence of rapidity correlations between the forward and backward hemisphere on the number of projectile collisions is discussed.     

Multiplicity distributions in rapidity intervals forp-p andp-nucleus interactions at 200 GeV

Multiplicity distributions of charged particles produced in proton-proton, proton-argon and proton-xenon inelastic collisions at 200 GeV/c in various rapidity intervals are presented. Nuclear target data are analysed separately for the forward and the backward hemispheres. Results of a similar analysis for only negative particles are shown. The data are well parametrized in terms of negative binomial distributions. However, such a parametrization fails in describing thep-nucleus multiplicity distributions of charged particles for large rapidity intervals comprising both hemispheres. Parameters characteristic for the clan model of Giovannini and Van Hove are also presented.     

Assessment of radiation risk and radon exhalation rate for granite used in the construction industry

Journal of Radioanalytical and Nuclear Chemistry - The results of the gamma spectrometry analysis of the 40 samples of highly radioactive granites used in the construction industry in Serbia are...     

Inclusive production of protons, anti-protons and neutrons in p+p collisions at 158 GeV/c beam momentum

New data on the production of protons, anti-protons and neutrons in p+p interactions are presented. The data come from a sample of 4.8 million inelastic events obtained with the NA49 detector at the CERN SPS at 158 GeV/c beam momentum. The charged baryons are identified by energy loss measurement in a large TPC tracking system. Neutrons are detected in a forward hadronic calorimeter. Inclusive invariant cross sections are obtained in intervals from 0 to 1.9 GeV/c (0 to 1.5 GeV/c) in transverse momentum and from ?0.05 to 0.95 (?0.05 to 0.4) in Feynman x for protons (anti-protons), respectively. p _T integrated neutron cross sections are given in the interval from 0.1 to 0.9 in Feynman x. The data are compared to a wide sample of existing results in the SPS and ISR energy ranges as well as to proton and neutron measurements from HERA and RHIC.     

Supersymmetric Free-Damped Oscillators: Adaptive Observer Estimation of the Riccati Parameter

A supersymmetric class of free damped oscillators with three parameters has been obtained in 1998 by Rosu and Reyes through the factorization of the Newton equation. The supplementary parameter is the integration constant of the general Riccati solution. The estimation of the latter parameter is performed here by employing the recent adaptive observer scheme of Besançon et al., but applied in a nonstandard form in which a time-varying quantity containing the unknown Riccati parameter is estimated first. Results of computer simulations are presented to illustrate the good feasibility of this approach for a case in which the estimation is not easily accomplished by other means.