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Modeling and characterization

So the indoor emissions need a specific fate and exposure modelling. In Meijer et al. [16, 17] a characterization model and characterization factors for indoor emissions are presented. In the articles also indoor emissions of some building materials are estimated and their effects are calculated. It is concluded that damage effects of indoor emissions cannot be neglected. [Pg.240]

Roth A, Gill R, Certa U. 2003. Temporal and spatial gene expression patterns after experimental stroke in a rat model and characterization of PG4, a potential regulator of transcription. Mol Cell Neurosci 22 353. [Pg.407]

Relaxation dispersion data for water on Cab-O-Sil, which is a monodis-perse silica fine particulate, are shown in Fig. 2 (45). The data are analyzed in terms of the model summarized schematically in Fig. 3. The y process characterizes the high frequency local motions of the liquid in the surface phase and defines the high field relaxation dispersion. There is little field dependence because the local motions are rapid. The p process defines the power-law region of the relaxation dispersion in this model and characterizes the molecular reorientations mediated by translational displacements on the length scale of the order of the monomer size, or the particle size. The a process represents averaging of molecular orientations by translational displacements on the order of the particle cluster size, which is limited to the long time or low frequency end by exchange with bulk or free water. This model has been discussed in a number of contexts and extended studies have been conducted (34,41,43). [Pg.299]

Symposium on Multiscale Modeling and Characterization of Elastic-Inelastic Behavior of Engineering Materials. Proceedings of the IUTAM Symposium held in Marrakech, Morocco, 20-25 October 2002. 2004 ISBN 1-4020-1861-4... [Pg.372]

Zabasajja J, Merchant T, Ng B, Banerjee S, Green D, Lawing S, Kura H. Modeling and characterization of tungsten chemical and mechanical polishing processes. Electrochem Soc 2001 148(2) G73-G77. [Pg.166]

Tang B, Boning D. CMP modeling and characterization for polysilicon MEMS Structures. MRS Symp Proc 2004 816 209-216. [Pg.428]

The modeling and characterization of pattern dependent variations in oxide CMP further demonstrate the importance of these effects in the design of a viable CMP process. Given the magnitude of the oxide thickness variation present after planarization in comparison to the variation across the wafer as shown in Fig. 9, it is clear that process optimization should be driven by the die-level variation as much as if not more so than by the wafer-level variation. [Pg.202]

Yih TC, Wei C, Hammad B. Modeling and characterization of a nanoUter drug-delivery MEMS micropump with circular bossed membrane. Nanomedicine 2005 1 164-75. [Pg.49]

Knozinger H, Ratnasamy P (1978) Catalytic aluminas surface models and characterization of surface sites. Catal Rev Sci Eng 17 31-70... [Pg.49]

Knozinger, H. Ratnasamy, P. (1978). Catalytic Aluminas Surface Models and Characterization of Surface Sites. Catalysis Reviews - Science and Engineering, Vol.l7, No.l, Qanuary 1978), pp. 31-70, ISSN 0161-4940... [Pg.175]

Zeta potential is a fundamental parameter for modeling and characterizing electrokinetic flows in a variety of microfluidic and lab-on-a-chip devices. Because the zeta potential depends on so many factors (pH, concentration, liquid, surface, etc.), more measurements are required for a variety of surface-liquid combinations, particularly, biological and biochemical fluids. Since measurements can vary greatly between methods... [Pg.3521]

Farinholt, K. M. (2005). Modeling and Characterization of Ionic Polymer Transducers for Sensing and Acduation, Ph.D. thesis, Virginia Polytechnic Institute and State University. [Pg.275]

Newbury, K. M. and Leo, D. J. (2002). Electromechanical modeling and characterization of ionic polymer benders. Journal of Intelligent Material Systems and Structures 13, pp. 51-60. [Pg.280]

Thostenson, E. T. Chou, T.-W. On the elastic properties of carbon nanotube-based composites modelling and characterization. J. Phys. D Appl. Phys. 36, 573-582 (2003). [Pg.598]

Quintero, C.G., Noik, C., Dalmazzone, C., and Grossiord, J.-L. (2008) Modeling and characterization of diluted and concentrated water-in-crude oil emulsions comparison with classical behavior. Rkeol. Acta, 47 (4), 417-424. [Pg.95]

Byun, J.-H., Chou, T.-W., 1989. Modelling and characterization of textile structural composites. J. Strain Anal. 24 (4), 65-74. [Pg.75]


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EXPERIMENTAL CHARACTERIZATION AND TESTING OF FLUX MODELS

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