Pereira, Pedro, S. Valtchev, João Pina, Anabela Gonçalves, Mário Neves, and Amadeu Rodrigues. "
Power Electronics Performance in Cryogenic Environment: Evaluation for Use in HTS Power Devices."
8th European Conference on Applied Superconductivity (EUCAS). 2007.
AbstractPower electronics (PE) plays a major role in electrical devices and systems, namely in electromechanical drives, in motor and generator controllers, and in power grids, including high-voltage DC (HVDC) power transmission. PE is also used in devices for the protection against grid disturbances, like voltage sags or power breakdowns. To cope with these disturbances, back-up energy storage devices are used, like uninterruptible power supplies (UPS) and flywheels. Some of these devices may use superconductivity. Commercial PE semiconductor devices (power diodes, power MOSFETs, IGBTs, power Darlington transistors and others) are rarely (or never) experimented for cryogenic temperatures, even when designed for military applications. This means that its integration with HTS power devices is usually done in the hot environment, raising several implementation restrictions. These reasons led to the natural desire of characterising PE under extreme conditions, e. g. at liquid nitrogen temperatures, for use in HTS devices. Some researchers expect that cryogenic temperatures may increase power electronics' performance when compared with room-temperature operation, namely reducing conduction losses and switching time. Also the overall system efficiency may increase due to improved properties of semiconductor materials at low temperatures, reduced losses, and removal of dissipation elements. In this work, steady state operation of commercial PE semiconductors and devices were investigated at liquid nitrogen and room temperatures. Performances in cryogenic and room temperatures are compared. Results help to decide which environment is to be used for different power HTS applications
Santos-Silva, Teresa, Joao Miguel Dias, Alain Dolla, Marie-Claire Durand, Luisa L. Goncalves, Jorge Lampreia, Isabel Moura, and Maria Joao Romao. "
Crystal structure of the 16 heme cytochrome from Desulfovibrio gigas: A glycosylated protein in a sulphate-reducing bacterium."
JOURNAL OF MOLECULAR BIOLOGY. 370 (2007): 659-673.
AbstractSulphate-reducing bacteria have a wide variety of periplasmic cytochromes involved in electron transfer from the periplasm to the cytoplasm. HmcA is a high molecular mass cytochrome of 550 amino acid residues that harbours 16 c-type heme groups. We report the crystal structure of HmcA isolated from the periplasm of Desulfovibrio gigas. Crystals were grown. using polyethylene glycol 8K and zinc acetate, and diffracted beyond 2.1 angstrom resolution. A multiple-wavelength anomalous dispersion experiment at the iron absorption edge enabled us to obtain good-quality phases for structure solution and model building. DgHmcA has a V-shape architecture, already observed in HmcA isolated from Desulfovibrio vulgaris Hildenborough. The presence of an oligosaccharide molecule covalently bound to an Asn residue was observed in the electron density maps of DgHmcA and confirmed by mass spectrometry. Three modified monosaccharides appear at the highly hydrophobic vertex, possibly acting as an anchor of the protein to the cytoplasmic membrane. (c) 2007 Elsevier Ltd. All rights reserved.
A, Grilo, Jardim-Goncalves R, and Cruz-Machado V. "
A framework for measuring value in business interoperability."
2007 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1-4. Vol. 1 - 4. International Conference on Industrial Engineering and Engineering Management IEEM, 1 - 4. 2007. 520-524.
Abstractn/a
Ramos, Luís Quase normalidade e inferência para séries de estudos emparelhadas. Universidade Nova de Lisboa., 2007.
AbstractWe use the almost normality approach to derive the models we use. Polynomial almost normality is presented in a first chapter. Thus we show that low degree polynomials on independent normal variables with small variation coefficients are very approximately normal distributed. This result is then used do derive models for series of studies assuming normality and independence for the initial observations and low variation coefficients. We then apply this models first for single series and then for matched series of studies. We will assume that the matched series are associated to the treatments and orthogonal design. The special case of prime basis factorials is considered.