Technology transfer model

Fig. 8. The innovation process model seen as a series of feedback loops involving technology transfer and the merging of cooperative efforts on a global...

Seeing the success of the UNAMAP BBS, EPA s Office of Air Quality Planning and Standards started a BBS for information on regulatory models in June 1989. This has expanded to a BBS called TTN, Technology Transfer Network. This BBS, in Durham, NC, is reached on (919) 541-5742 and the system operator on (919) 541-5384. A part of this BBS called SCRAM, Support Center for Regulatory Air Models, contains model FORTRAN codes, model executable codes for use on personal computers, meteorological data, and in some cases model user s guides. Much of the information is downloaded in "packed" form, and software to unpack the files must also be downloaded from the bulletin board. 

The XtraFOOD model was developed within the framework of a research project initiated by the Flemish Institute for Technological Research (VITO) [69]. The model calculates transfer of contaminants in the primary food chain (Fig. 8). In the project, the transfer model was coupled with historical food consumption data to estimate human exposure to contaminated food products. The model focuses on the terrestrial food chain. The XtraFOOD model consists of three modules, which are inter-linked ... 

Biotechnology technology transfer partnership model, 24 390 Bioterrorism, protection against, 18 26 Biotin, 25 800 in beer, 3 582t... 

Multiple chemical sensitivity, 1 817 Multiple consortia technology transfer partnership model, 24 390 Multiple controllers, 20 698 Multiple downcomer plate, 8 764-765 Multiple-effect crystallizers, sodium carbonate recovery via, 22 789 Multiple-effect evaporators, 23 238... 

Winter and Szulanski s assessment points to the need for more qualitative, case-based fieldwork to address issues of timing, refinement, and technology transfer. The model we have presented should be regarded as just an initial framework with which we can address other issues related to growth. The wide variety of reports from practitioner and academic contributors to this book suggests that the model we have presented is viable, but needs to account for other paths to growth. 

Once this management infrastructure and associated funding were in place at various DOE institutions, different academic research projects were started, initiating various satellite networks of multiscale modeling research. This technological transfer also started in other labs within the Department of Defense and industrial research communities. 

Role of Modelling in Technology Transfer and Knowledge Management... 

S.A. Clough, M.W. Shephard, E.J. Mlawer, J.S. Delamere, M.J. lacono, K. Cady-Pereira, S. Boukabara, P.D. Brown, Atmospheric radiative transfer modeling A summary of the AER codes. Journal of Quantitative Spectroscopy and Radiative Transfer 91(2) 233-244 (2005). A.N. Dills, Temporal and spectral classification of battlespace detonations, Ph.D. dissertation. Air Force Institute of Technology, AFlT/DS/ENP/04-2 (2005). 

This form of the mixture model is called the drift flux model. In particular cases the flow calculations is significantly simplified when the problem is described in terms of drift velocities, as for example when ad is constant or time dependent only. However, in reactor technology this model formulation is restricted to multiphase cold flow studies as the drift-flux model cannot be adopted simulating reactive systems in which the densities are not constants and interfacial mass transfer is required. 

David A. Dixon is a Battelle fellow in the Fundamental Science Directorate at the Pacific Northwest National Laboratory (PNNL), where he previously served as associate director for theory, modeling, and simulation at the William R. Wiley Environmental Molecular Sciences Laboratory. His main research interest is the use of numerical simulation to solve complex chemical problems with a primary focus on the quantitative prediction of molecular behavior. He uses numerical simulation methods to obtain quantitative results for molecular systems of interest to experimental chemists and engineers with a specific focus on the design of new materials and production processes. Before moving to PNNL, he was research fellow and research leader in computational chemistry at DuPont Central Research and Development (1983-1995) and a member of the Chemistry Department at the University of Minnesota, Minneapolis (1977-1983). He earned his B.S. in chemistry from the California Institute of Technology and his Ph.D. in physical chemistry from Harvard University, where he served as a junior fellow of the Society of Fellows, Harvard University. He is a fellow of the American Association for the Advancement of Science, and a fellow of the American Physical Society. He is a recipient of the 1989 Leo Hendrik Baekeland Award presented by the American Chemical Society, the Federal Laboratory Consortium Technology Transfer Award (2000), and the 2003 American Chemical Society Award for Creative Work in Fluorine Chemistry. 

Fundamental knowledge of physical and chemical science Materials of construction Model validation and technology transfer End user product quality Process characterization and development Advanced sensors and process control Best practices (from other industries)... 

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