Bacteriological survey of water and ice for general uses in Thailand

Bacteriological quality of water in Chanthaburi province in Thailand was assessed at monthly intervals throughout one year. Water supplies, public wells, bottling factories, reservoirs for rain water and an ice factory were examined. Plesiomonas shigelloides was detected from water supply samples and from well water. Shigella and Salmonella were detected from the treated water supply. Counts of coliform bacteria were above the limit in some cases.     

Density functional theory and tight binding-based dynamical studies of carbon metal systems of relevance to carbon nanotube growth

Density functional theory (DFT) and tight binding (TB) models have been used to study systems containing single-walled carbon nanotubes (SWNTs) and metal clusters that are of relevance to SWNT growth and regrowth. In particular, TB-based Monte Carlo (TBMC) simulations at 1000 or 1500 K show that Ni atoms that are initially on the surface of the SWNT or that are clustered near the SWNT end diffuse to the nanotube end so that virtually none of the Ni atoms are located inside the nanotube. This occurs, in part, due to the lowering of the Ni atom energies when they retract from the SWNT to the interior of the cluster. Aggregation of the atoms at the SWNT end does not change the chirality within the simulation time, which supports the application of SWNT regrowth (seeded growth) as a potential route for chirality-controlled SWNT production. DFT-based geometry optimisation and direct dynamics at 2000 K show that Cr and Mo atoms in Cr₅Co₅₀ and Mo₅Co₅₀ clusters prefer to be distributed in the interior of the clusters. Extension of these calculations should deepen our understanding of the role of the various alloy components in SWNT growth.      

Electrical and optical characterisation of CuInS2 crystals and polycrystalline coevaporated thin films

Single crystals CuInS₂ were grown by iodine vapour transport method, whereas polycrystalline thin films were obtained by coevaporation technique from three sources. The temperature dependence of the hole mobility in valence band is analysed by taking into account contributions from several scattering mechanisms of the charge carriers. To account for the temperature dependant conductivity of polycrystalline CuInS₂ thin films, grainboundary conduction process was suggested. In the low temperature region, we interpret the data in terms of the Mott law and the analysis is very consistent with the variable range hopping. However, thermionic emission is predominant at high temperatures. Photoluminescence measurements have been performed on CuInS₂ crystals and the analysis has revealed that the emission is mainly due to free-to-bound and donor–acceptor pair transitions. The band gap of that compound is derived from the excitonic emission line at 1.53 eV.     

Improving parallel EKF-based nonlinear channel equalization using unscented transformation

The paper presents a new review of parallel Kalman filtering for nonlinear channel equalization. A Network of Extended Kalman Filters (nekf) has already been suggested for this purpose. This equalizer gives recursively a minimum mean squared error (mmse) estimation of a sequence of transmitted symbols according to a state formulation of a digital communication scheme. It is essentially based on two mechanisms: the approximation of the non Gaussiana posteriori probability density function (pdf) of the symbol sequence by a Weighted Gaussian Sum (wgs); and the local linearization of the nonlinear channel function for each branch of the network. Since the linearization, bearing on scattered symbol states, is one of the major limitations of thenekf, a new Kalman filtering approach, the Unscented Kalman Filter (ukf) suggested by Julier and Uhlman is considered in this paper for an interesting adaptation to the equalization context. Theukf algorithm is based on the equations of a Kalman filter, as the optimal linear minimum variance estimator, and on determining conditional expectations based on a kind of deterministic Monte-Carlo simulations. The new equalizer referred to as the Network ofukf (nukf), thus combines density approximation by awgs and the Unscented Transformation (ut) principle to circumvent the linearization brought within eachekf and is shown to perform better than thenekf based equalizer for severe nonlinear channels. Also, an adaptive version of thenukf is developed using the k-means clustering algorithm for noise-free channel output identification, since thenukf-based algorithm does not require the knowledge of the channel nonlinearity model.     

Characterization of polymer powder motion in a spherical mold in biaxial rotation

As rotational molding of thermoplastic parts become more and more complex, understanding the fundamental processing aspects such as powder flow becomes important for good and uniform part quality. In this work, an image analysis technique is used to determine the effect of polymer powder particle size and distribution in a biaxially rotating spherical mold. Experimental parameters such as particle diameter (d), ratio of larger over smaller particles diameters (d_r), and initial powder position inside the mold and camera viewing position were studied. From the results obtained, conditions leading to homogeneity and segregation are discussed. POLYM. ENG. SCI., 2012. © 2011 Society of Plastics Engineers     

Synthesis of high-purity polycrystalline MAX phases in Ti–Al–C system through Mechanically Activated Self-propagating High-temperature Synthesis

Ternary MAX phase compounds were synthesized using an alternative route called MASHS (Mechanically Activated Self-propagating High-temperature Synthesis). This original process combines a short duration ball milling (MA) of reactants (Ti, Al, C) with a self-sustaining combustion (SHS). The particle size evolution of the powder mixture during Mechanical Activation was monitored using XRD profile analysis. The effect of Al-excess was also discussed. XRD and SEM analyses have proved that the activation of the reaction kinetics must be accompanied by a decrease in the overall exothermicity in order to synthesize pure Ti–Al–C MAX phases by MASHS.     

Lactose electroisomerization into lactulose: Effect of the electrode material,active membrane surface area-to-electrode surface area ratio,and interelectrode-membrane distance

The aim of the present work was to study and develop an innovative, clean, and environmentally friendly process for lactulose synthesis by electroactivation of lactose. In this work, the electrode material (type 304 stainless steel, titanium, and copper), dimensionless interelectrode-membrane distance at the cathodic compartment (0.36, 0.68, and 1), and the membrane:electrode surface area ratio (0.23, 0.06, and 0.015) were considered to be the factors that could affect the kinetic conversion of lactose into lactulose. The reactions were conducted under an initial lactose concentration of 0.15 mol/L at 10°C, Froude number (mixing speed) of 2.05 × 10⁻², and electric current intensity of 300 mA for 30 min. The highest lactulose formation yield of 32.50% (0.05 mol/L) was obtained by using a copper electrode, interelectrode-membrane distance of 0.36, and membrane:electrode surface area ratio of 0.23. The 2-parameter Langmuir, Freundlich, and Temkin isotherm models were used for the prediction of the lactose isomerization kinetics as well as the 3-parameter Langmuir-Freundlich isotherm model. It was shown that the lactose isomerization kinetics into lactulose followed the Temkin and Langmuir-Freundlich models with coefficients of determination of 0.99 and 0.90 and a relative error of 1.42 to 1.56% and 4.27 to 4.37%, respectively.     

Universal linear viscoelastic approximation property of fractional viscoelastic models with application to asphalt concrete

The paper presents a comprehensive linear viscoelastic characterization of asphalt concrete using fractional viscoelastic models. For this purpose, it is shown that fractional viscoelastic models are universal approximators of relaxation and retardation spectra. This essentially means that any spectrum can be mathematically represented by fractional viscoelastic models. Characterization of asphalt concrete is performed by constructing the dynamic modulus master curve and determining the parameters of the generalized fractional Maxwell model (GFMM). This procedure is similar to the widely used one of determining the master curve of asphalt concrete using a statistical function such as the sigmoidal model. However, from the GFMM, the relaxation modulus, creep compliance, continuous relaxation spectrum, and Prony series parameters can be determined analytically. A further advantage of the GFMM is that unlike the sigmoidal model, which only gives a representation of either the dynamic modulus or the storage modulus, the GFMM gives a representation of both the storage modulus and loss modulus (and therefore also the dynamic modulus and phase angle). The procedure was successfully applied to ten different mixes used in the State of Virginia.     

Towards developing a voice pathologies detection system

Most voice features used in predicting the voice when a person has voted with instability in the vocal fold vibration cause problems in estimating such period; as a result of this challenge, scientists have focused on the development of powerful features independent of pitch estimation. The major goal of this paper is to study and investigate the Acoustic Voice Analysis methods (AVA) based on adaptive features. This investigation will lead to the development of a system of detection. The essential parts of this topic is related to database (described later), sampling the sounds (and satisfying) from the German database with many diseases, degenerative neurological disease (such as chronic inflammation of the larynx and vocal fold nodules). Under the supervision of the used algorithm to accomplish the above task, the Mel-Frequency Cepstral Coefficients (MFCCs with different Jitter and Shimmer), as by likely flux model mixture (GMM) are used in the AVA. MATLAB was used to simulate such a study for the extraction of features as well as making the training and testing process. The achieved results showed that with some kind of analysis, it is possible to find different sound patterns of diseases, e.g. excessive twang, where additional spectral components exist due to the increase in air flow in nasal cavities. Another focal point is some mathematical transformations both in the temporal domain or frequency. These changes can improve the capacity of some voice features voice; however, there is a need to multivariate analysis of parameters which measure the various problems in the process of phonation; after that, it is necessary to analyse the importance of finding and sorting those features that provide more information. Finally, automatic classification of pathological voices was made using any of the known techniques for this purpose. Our achieved results prove that a good classification rate needs efficient features to characterize each class, in this work, on one hand the accuracy of system increases with the number of parameters (best accuracy with 39 coefficients including Jitter & Shimmer) which means that the difference between normal and abnormal become noticeable with second derivate of MFCC and energy more than the others.     

Reliability of noninvasive methods to measure cardiac autonomic function

Cardiac autonomic modulation was examined in 10 healthy subjects (mean age = 27.8 +/- 1.7) at rest (paced breathing at 12 and 16 breaths/min) and during a submaximal cycle ergometer exercise test. Heart rate variability (HRV) spectral parameters and spontaneous baroreflex (SBR) function variables showed no significant differences between mean values for any of the testing conditions. Spectral parameters and SBR function did not differ significantly between the resting conditions. Significant reliability coefficients (r = 0.59-0.73) were observed for all spectral parameters except low frequency power (r = 0.22) during 12 breaths/min, with moderately lower values during 16 breaths/min (r = 0.10-0.75) and exercise (r = 0.20-0.89). Significant reliability coefficients were observed for baroreflex sensitivity at 12 (r = 0.83) and 16 (r = 0.92) breaths/min. It was concluded that at rest, HRV spectral and SBR analyses are reliable methods for studying cardiac autonomic balance.