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Spectral Response and Photoelectrochemical Properties of Cd1-xZnxSe Films

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Chinese Physics Letters 2010年第5期27卷 200-203页

作者： N. j. Suthan Kissinger G. Ghana Kumar K. Perumal j. Suthagar Department of Physics Loyola Institute of Technology and Sciences Loyola Nager Thovalai India Specialized Graduate School of Hydrogen and Fuel Cell Engineering Chonbuk National University Jeonju 561-756 Republic of Korea Department of Physics SRMV College of Arts and Science Coimbatore India Department of Physics Karunya University Coimbatore India

Cd1-xZnxSe films with different zinc contents are deposited by an electron beam evaporation technique onto glass substrates for applications in solid-state photovoltalc devices. The structural, optical and photoelectrochemical （PEC） properties of Cd1-xZnxSe films are studied. The host material Cd1-xZnxSe is prepared by the physical vapor deposition method of electron beam evaporation technique （PVD： EBE） under a pressure of 1 × 10^-5 mbar. The x-ray diffractogram indicates that these alloy films are polycrystalline in nature, hexagonal structure with strong preferential orientation of the crystallites along （002） direction. The optical properties shows that the band gap Eg varies from 2.08 to 2.84eV as zinc content varies from 0.2 to 0.8. A PEC cell of the configuration n-Cd1-xZnxSe/Na2S-S-NaOH is fabricated and the dynamic current-voltage characteristics in the dark atmosphere have been examined at room temperature. It has been found that both Voc and Iac decrease with the photoelectrode composition x. Efficiency η and fill factor （FF） also show similar variations. The material properties would be altered and excellently controlled by controlling the system composition x.

关键词： yinc content Zn_xSe films electron beam

HOT DEFORMATION AND MARTENSITIC TRANSFORMATION BEHAVIORS OF Fe-32%Ni ALLOY

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Acta Metallurgica Sinica(English Letters) 2006年第2期19卷 133-138页

作者： j. Huang Z. Xu Cold Rolling Mill Baoshan Iron ＆ Steel Co. Ltd Shanghai 201900 China Key Laboratory for High Temperature Materials and Tests of Ministry of Education Shanghai Jiaotong University Shanghai 200030 China

The Hot deformation and martensitic transformation behaviors of Fe-32%Ni alloy was investigated by measurements of electrical resistance and X-ray diffraction. With the increase in strain, the austenite goes through from the work-hardened to the partial dynamcally re-crystallized and then to the completed dynamically re-crystallized. The martensitic transformation characteristics depend on the austenite states. The work-hardening in small strain is helpful to martensitic transformation due to the low dislocation density and little lattice distortion, while the high dislocation density and severe lattice distortion by the increase in strain will hinder the martensitic nucleation. Once dynamic re-crystallization （ DRX ） takes place, the martensitic transformation will be enhanced again, which is related to the heterogeneous dynamic substructures. The growing DRX grain can enhance the martensitic nucleation due to the low dislocation density near its grain boundary.

关键词： Fe-32%Ni alloy hot deformation work hardening dynamic re-crystallization martensitic transformation

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzy inference system

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Frontiers of Chemical Science and Engineering 2013年第3期7卷 357-365页

作者： j. Sargolzaei A. Hedayati Moghaddam Department of chemical engineering Ferdowsi university of Mashhad Mashhad *** Iran

Various simulation tools were used to develop an effective intelligent system to predict the effects of temperature and pressure on an oil extraction yield. Pomegranate oil was extracted using a supercritical CO2 （SC-CO2） process. Several simulation systems including a back-propagation neural network （BPNN）, a radial basis function neural network （RBFNN） and an adaptive- network-based fuzzy inference system （ANFIS） were tested and their results were compared to determine the best predictive model. The performance of these networks was evaluated using the coefficient of determination （R^2） and the mean square error （MSE）. The best correlation between the predicted and the experimental data was achieved using the BPNN method with an R^2 of 0.9948.

关键词： oil recovery artificial intelligence extraction neural networks supercritical extraction

Invariant Measures and Asymptotic Gaussian Bounds for Normal Forms of Stochastic Climate Model

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Chinese Annals of Mathematics,Series B 2011年第3期32卷 343-368页

作者： Yuan YUAN Andrew j. MAj.A Department of Mathematics Courant Institute New York University 251 Mercer Street New York NY 10012 USA Department of Mathematics and Center for Atmospheric Ocean Sciences Courant Institute New York University 251 Mercer Street New York NY 10012 USA

The systematic development of reduced low-dimensional stochastic climate models from observations or comprehensive high dimensional climate models is an important topic for atmospheric low-frequency variability,climate sensitivity,and improved extended range ***,techniques from applied mathematics have been utilized to systematically derive normal forms for reduced stochastic climate models for low-frequency *** was shown that dyad and multiplicative triad interactions combine with the climatological linear operator interactions to produce a normal form with both strong nonlinear cubic dissipation and Correlated Additive and Multiplicative(CAM) stochastic *** probability distribution functions(PDFs) of low frequency climate variables exhibit small but significant departure from Gaussianity but have asymptotic tails which decay at most like a ***,rigorous upper bounds with Gaussian decay are proved for the invariant measure of general normal form stochastic *** Gaussian lower bounds are also established under suitable hypotheses.

关键词： Reduced stochastic climate model Invariant measure Fokker-Planck equation Comparison principle Global estimates of probability density function

Sodium arsenite reduces severity of dextran sulfate sodium-induced ulcerative colitis in rats

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j.urnal of Zhej.ang University-Science B(Biomedicine & Biotechnology) 2008年第4期9卷 341-350页

作者： j.shua j. MALAGO Hortensia NONDOLI Department of Pathology Faculty of Veterinary Medicine Sokoine University of Agriculture P.O. Box 3203 Morogoro Tanzania Regional Immigration Office P.O. Box 649 Mtwara Tanzania

The histopathological features and the associated clinical findings of ulcerative colitis (UC) are due to persistent inflammatory response in the colon mucosa. Interventions that suppress this response benefit UC patients. We tested whether sodium arsenite (SA) benefits rats with dextran sulfate sodium (DSS)-colitis. The DSS-colitis was induced by 5% DSS in drinking water. SA (10 mg/kg; intraperitoneally) was given 8 h before DSS treatment and then every 48 h for 3 cycles of 7, 14 or 21 d. At the end of each cycle rats were sacrificed and colon sections processed for histological examination. DSS induced diarrhea, loose stools, hemoccult positive stools, gross bleeding, loss of body weight, loss of epithelium, crypt damage, depletion of goblet cells and infiltration of inflammatory cells. The severity of these changes increased in the order of Cycles 1, 2 and 3. Treatment of rats with SA significantly reduced this severity and improved the weight gain.

关键词： Ulcerative colitis Dextran sulfate sodium Sodium arsenite Rats