Adaptive finite element meshing at each iterative calculation for electromagnetic field analysis of rotating machines

In this paper, we propose a novel algorithm of the nonlinear time‐stepping finite element method for analyses of rotating machines. In the method, the adaptive finite element meshing is applied at each nonlinear and time‐stepping iterative calculation with the interpolate calculations of the potentials from the previous step. The primary finite element mesh at each time step is obtained from the final mesh of the previous time step with minor modification due to the movement of the rotor. The proposed method is applied to the characteristics calculations of a permanent magnet motor and an induction motor to verify the method's validity and its usefulness. It is clarified that the proposed method gives almost identical results to the conventional adaptive meshing method whereas the calculation time is reduced to less than 1/10 in most cases. As a result, the proposed method can reduce not only the time of making mesh manually but also the calculation time compared with the usual finite element method without adaptive meshing. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 164(3): 78–91, 2008; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20308     

Novel oxidation reaction at ambient temperature and atmospheric pressure with electric discharge and oxide surface

We investigated a novel oxidation reaction with surface-oxygen and lattice-oxygen induced using a non-equilibrium electric discharge at ambient temperature. We employed MgO, ZrO₂, and TiO₂ for this novel reaction. Methane was oxidized easily and converted into H₂, CO, and CO₂ by the surface-oxygen and lattice-oxygen of oxide with activation of discharge at ambient temperature without gas-phase oxygen. The oxide itself was stable after the reaction. Among these oxides, the tetragonal phase and amorphous phase of ZrO₂ showed remarkably high activity for methane oxidation. Consequently, up to 8% of surface and lattice oxygen of the oxide was consumed by methane oxidation induced by electric discharge. The non-equilibrium electric discharge activated both the surface-oxygen and the lattice-oxygen of the oxides and methane molecules in the gas phase. After these reactions, the oxide surface vacant sites were recovered partially through steam post-treatment. Hydrogen formed simultaneously with steam decomposition. Other reactions were also studied by changing the reaction gas: methane into carbon monoxide, carbon monoxide with oxygen, and carbon monoxide with steam. Furthermore, the correlation of reactivity between the feed gas and surface oxygen was studied. Emission spectra under a CH₄ atmosphere with electric discharge showed complex peaks caused by carbon monoxide formation at 280-500 nm at 0-4 min, suggesting that surface oxygen on oxides was probably consumed within 4 min from the start of the reaction.     

Transport Properties of Hybrids with Ferromagnetic MnAs Nanoclusters and Their Potential for New Magnetoelectronic Devices

Granular hybrid structures containing ferromagnetic nanoclusters embedded in a semiconducting matrix are an interesting class of materials as their properties can be tuned in a wide range. Hybrids are a promising alternative to dilute magnetic semiconductors in the field of spintronics and magnetoelectronics, because the nanoclusters can show ferromagnetic behavior even at room temperature. In this review, it is focused on the rather well investigated dilute magnetic semiconductor (Ga,Mn)As with MnAs inclusions. Different preparation methods are presented which were developed over the last two decades in order to obtain MnAs nanoclusters in the semiconducting matrix and to tune the structural and magnetic properties of these clusters. Recent results on the influence of the nanoclusters on the hybrids' transport properties as well as first approaches to use hybrids with a random nanocluster distribution in new spintronic devices are discussed. In addition, the perspective of using single MnAs nanoclusters as well as ordered arrangements of a few nanoclusters in new planar magnetoelectronic devices is illustrated.     

Biochemical Studies of Mitochondrial Malate: Quinone Oxidoreductase from Toxoplasma gondii

Toxoplasma gondii is a protozoan parasite that causes toxoplasmosis and infects almost one-third of the global human population. A lack of effective drugs and vaccines and the emergence of drug resistant parasites highlight the need for the development of new drugs. The mitochondrial electron transport chain (ETC) is an essential pathway for energy metabolism and the survival of T. gondii. In apicomplexan parasites, malate:quinone oxidoreductase (MQO) is a monotopic membrane protein belonging to the ETC and a key member of the tricarboxylic acid cycle, and has recently been suggested to play a role in the fumarate cycle, which is required for the cytosolic purine salvage pathway. In T. gondii, a putative MQO (TgMQO) is expressed in tachyzoite and bradyzoite stages and is considered to be a potential drug target since its orthologue is not conserved in mammalian hosts. As a first step towards the evaluation of TgMQO as a drug target candidate, in this study, we developed a new expression system for TgMQO in FN102(DE3)TAO, a strain deficient in respiratory cytochromes and dependent on an alternative oxidase. This system allowed, for the first time, the expression and purification of a mitochondrial MQO family enzyme, which was used for steady-state kinetics and substrate specificity analyses. Ferulenol, the only known MQO inhibitor, also inhibited TgMQO at IC₅₀ of 0.822 μM, and displayed different inhibition kinetics compared to Plasmodium falciparum MQO. Furthermore, our analysis indicated the presence of a third binding site for ferulenol that is distinct from the ubiquinone and malate sites.     

Uptake and release of polynuclear aromatic hydrocarbons by short-necked clams (Tapes japonica)

We studied the uptake and release of polynuclear aromatic hydrocarbons (PNAHs) by shortnecked clams (Tapes japonica) under the following conditions: exposure to PNAHs dissolved in artificial sea water, in the sediments and in natural sea water. Nine PNAHs, i.e. anthracene, pyrene, benz(a)anthracene, benzo(e)pyrene, benzo(b)flouranthene, benzo(a)pyrene, benzo(g,h,i)perylene, dibenz(a,h)anthracene and 3-methylcholanthrene, were dissolved in artificial sea water at a concentration of 10 ppb each. Index clams were placed in PNAH containing sea water for 7 days and then transferred into the clean artificial sea water for release. Maximal uptake of these substances ranged from 150 to 560 ppb and the release rate (half life) was 4–8 days. While six PNAHs were accumulated by the clams from the sediments during the 7-day exposure, levels of accumulated PNAHs were positively correlated to the PNAH concentrations in the sediments. High accumulation of pyrene, benzo(e)pyrene and benzo(b)fluoranthene were found and their levels in the sediments were correspondingly high. The levels of PNAHs fell to initial levels after the 14-day exposure to the PNAH free sea water. In the PNAH-uptake experiments conducted in the sea, pyrene 14 times the initial amount was accumulated in clams, while the other six compounds were accumulated at 3–8 times. All the PNAH amounts in the clams were determined by HPLC with a fluorescence detector. The results suggest that PNAHs are readily accumulated in clams and these PNAHs in the clams may be a useful biological indicator of PNAH contamination.     

Rapid analysis of aflatoxins in raw peanuts,corn, buckwheat and red pepper by a new mini-column cleanup and HPLC using post-column photochemical derivatization system

A rapid and clean method for the analysis of aflatoxins (AFs) was developed by using a new column and post-column photochemical derivatization HPLC with fluorescence detection. The new cleanup column consisted of magnesia and basic alumina poured on the top of a commercial multi-functional mini-column. It was extremely effective for the cleanup of AFs from raw peanut, corn, buckwheat and red pepper. Fluorescent substances, which interfered with the analysis of AFs from corn, were completely absorbed at the top of the magnesia layer. Recoveries of AFs (B1, B2, G1, G2) added to raw peanuts, corn, buckwheat and red pepper were over 80% at two levels of fortification (higher level: 10, 3, 10, 3 ng/g, respectively, lower level: 1.0, 0.3, 1.0, 0.3 ng/g, respectively). Coefficients of variation were smaller than 12%, except the lower fortified level for red pepper. Limits of detection for AFs in raw peanuts, corn and buckwheat were 0.3 ng/g for B1 and G1, and 0.1 ng/g for B2 and G2. Those in red pepper were 0.5 ng/g for B1, B2, G1 and G2.     

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis

ABSTRACT

Recent advances in robotics and measurement technologies have enabled biologists to record the trajectories created by animal movements. In this paper, we convert time series of animal trajectories into sequences of finite symbols, and then propose a machine learning method for gaining biological insight from the trajectory data in the form of symbol sequences. The proposed method is used for training a classifier which differentiates between the trajectories of two groups of animals such as male and female. The classifier is represented in the form of a sparse linear combination of subsequence patterns, and we call the classifier an S3P-classifier. The trained S3P-classifier is easy to interpret because each coefficient represents the specificity of the subsequence patterns in either of the two classes of animal trajectories. However, fitting an S3P-classifier is computationally challenging because the number of subsequence patterns is extremely large. The main technical contribution in this paper is the development of a novel algorithm for overcoming this computational difficulty by combining a sequential mining technique with a recently developed convex optimization technique called safe screening. We demonstrate the effectiveness of the proposed method by applying it to three animal trajectory data analysis tasks.     

Optical properties of self-assembled InAs quantum dots grown on GaAs(211)A substrate

We have investigated the photoluminescence (PL) and growth properties of self-assembled InAs/GaAs quantum dots (QD) grown on (211)A-oriented GaAs substrate in a low coverage region. At the onset of the QD formation in the Stranski–Krastanov mode, structures of QD on (211)A substrate were quite different from those on (100) substrate. The uniformity of size distribution was better and the density was higher than that grown on (100) substrate. We found a PL peak at 1.32 eV when the InAs coverage was 1.57 ML. Another PL peak gradually appeared at 1.37–1.42 eV with increasing InAs coverage. The peaks at 1.32 and 1.37–1.42 eV were attributed to the emission from a defect-related QD and a typical QD, respectively. When the InAs coverage exceeded 1.89 ML, the QD density decreased with increasing InAs coverage, due to the coalescence of QD. The samples studied here showed PL spectra having a larger intensity and narrower full width at half-maximum compared with that grown on (100) substrate.     

New cost effective design of PCR heating cycler system using Peltier plate without the conventional heating block

Journal of Mechanical Science and Technology - Temperature control is a critical factor in PCR for efficient DNA amplification. The main aim is to achieve tight control and high rate of heating and...