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Your search keyword '"Silva, F.S."' showing total 3 results
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3 results on '"Silva, F.S."'

1. Manufacture and mechanical-tribological assessment of diamond-reinforced Cu-based coatings for cutting/grinding tools

Author

Frutos, E., Richhariya, V., Silva, F.S., and Trindade, B.

Subjects
Materiales, Mechanics of Materials, Mechanical Engineering, Ingeniería química, Surfaces and Interfaces, Surfaces, Coatings and Films
Abstract

This work proposes the design of laser-textured patterns for the development of surfaces with high anchor densities capable of promoting solid mechanical bonding of highly abrasive sintered diamond/carbide-reinforced. Cu-based composite coatings with excellent wear resistance. The results show the development of dense and well-adhered coatings onto the patterns and how the higher nucleation of TiC/Fe3C on the diamond surfaces favours its greater bonding within the matrix, preventing its graphitization, and detachment. Reductions above 40% and 60% in the CoF were observed, under dry conditions, for coatings reinforced with 10 & 30 wt% of diamonds, respectively. Depending on the percentage of diamond used, the best glass/coating and alumina/coating wear volume ratios were around 20 and 6. These values would indicate that these composite coatings show high performance and therefore could be used to make tools for grinding and/or cutting glass and ceramic materials.

Published
2023

2. A Model-Driven Engineering Approach for Immersive Mixed-Reality Environments

Author

Nakevska, M., Markovski, J., Rauterberg, G.W.M., Anacleto, J.C., Clua, E.W.G., Correa da Silva, F.S., Fels, S., and Yang, H.S.

Subjects
Supervisory control theory, Evolvability, Flexibility (engineering), Consistency (database systems), Supervisory control, Human–computer interaction, Computer science, Model-driven architecture, Engineering design process, computer, Simulation, Mixed reality, computer.programming_language
Abstract

We propose a model-based engineering approach for development of immersive mixed-reality environments based on supervisory control theory that provides for automated software synthesis. The proposed approach greatly improves the consistency of the design process by employing models as means of communication, whereas supervisory control synthesis caters for system flexibility and evolvability.

Published
2013

3. EU Pancreas: An Integrated European Platform for Pancreas Cancer Research - from Basic Science to Clinical and Public Health Interventions for a Rare Disease

Author

Milne, R., La Vecchia, C., Van Steen, K., Hahn, S., Buchholz, M., Costello, E., Esposito, I., Hoheisel, J. D., Lange, B., Lopez-Bigas, N., Michalski, C. W., Real, F. X., Brand, A., Malats, N., LaVecchia, C., Macic, D., Ceric, T., Iovanna, J., Kleeff, J., Gazouli, M., Dervenis, C., Hegyi, P., Ruhl, R., Shafat, A., Sharp, L., Rayan, A., DeCarli, A., Tortora, G., Sileikis, A., Barauskas, G., Eriksson Steigen, S., Ikdahl, T., Malecka-Panas, E., Silva, F. S., Barbu, T. S., Popescu, I., Durisova, M., Majekova, M., Dolzan, V., Genc, L., Yildirim, H., Crnogorac-Jurcevic, T., Bulchholz, M., Greenhalf, B., Campbell, F., Kloeppel, G., De Mesquita, B. B., Hoheisel, J., Brazma, A., Herwig, R., Van Cutsum, E., Goldstein, D., Birney, E., Bassi, C., Biankin, A., Scarpa, A., Michalski, C., Dufresne, M., Chelala, C., Kocher, H., Steyerberg, E., Cecconi, D., Löhr, M., Gutierrez- Ibarluzea, I., Adany, R., Horgan, D., Taruscio, D., Wolff-Boehnisch, B., Dauben, H. -P., Barbardorttir, R. B., Papadopoulos, I., Callens, P., Holcatova, I., Brenner, H., Campa, D., Canzian, F., Rizzato, C., Lüttges, J., Gress, T., Bartch, D., Vlahou, T., Fillat, C., Bayés, M., Gut, I., Gut, M., Gasull, M., Barberá, V., Porta, M., Molero, X., Duell, E., Ález-Couto, E., Carrato, A., Guillén, C., Martinelli, P., Hidalgo, M., Heeschen, C., Valencia, A., Calle, M. L., Guigó, R., Scelo, G., Boffetta, P., Maisonneuve, P., Bosetti, C., Lucenteforte, E., Jeurnink, S., Van Duijnhoven, F., Zatonski, W., Petronijevic, L., Verbeke, C., Neoptolemos, J., Institute for Public Health Genomics, Health Services Research, Genetica & Celbiologie, RS: GROW - School for Oncology and Reproduction, Milne, R., La Vecchia, C., Van Steen, K., Hahn, S., Buchholz, M., Costello, E., Esposito, I., Hoheisel, J.D., Lange, B., Lopez-Bigas, N., Michalski, C.W., Real, F.X., Brand, A., Malats, N., LaVecchia, C., Macic, D., Ceric, T., Iovanna, J., Kleeff, J., Gazouli, M., Dervenis, C., Hegyi, P., Ruhl, R., Shafat, A., Sharp, L., Rayan, A., DeCarli, A., Tortora, G., Sileikis, A., Barauskas, G., Eriksson Steigen, S., Ikdahl, T., Malecka-Panas, E., Silva, F.S., Barbu, T.S., Popescu, I., Durisova, M., Majekova, M., Dolzan, V., Genc, L., Yildirim, H., Crnogorac-Jurcevic, T., Bulchholz, M., Greenhalf, B., Campbell, F., Kloeppel, G., De Mesquita, B.B., Hoheisel, J., Brazma, A., Herwig, R., Van Cutsum, E., Goldstein, D., Birney, E., Bassi, C., Biankin, A., Scarpa, A., Michalski, C., Dufresne, M., Chelala, C., Kocher, H., Steyerberg, E., Cecconi, D., Löhr, M., Gutierrez- Ibarluzea, I., Adany, R., Horgan, D., Taruscio, D., Wolff-Boehnisch, B., Dauben, H.-P., Barbardorttir, R.B., Papadopoulos, I., Callens, P., Holcatova, I., Brenner, H., Campa, D., Canzian, F., Rizzato, C., Lüttges, J., Gress, T., Bartch, D., Vlahou, T., Fillat, C., Bayés, M., Gut, I., Gut, M., Gasull, M., Barberá, V., Porta, M., Molero, X., Duell, E., Ález-Couto, E., Carrato, A., Guillén, C., Martinelli, P., Hidalgo, M., Heeschen, C., Valencia, A., Calle, M.L., Guigó, R., Scelo, G., Boffetta, P., Maisonneuve, P., Bosetti, C., Lucenteforte, E., Jeurnink, S., Van Duijnhoven, F., Zatonski, W., Petronijevic, L., Verbeke, C., and Neoptolemos, J.

Subjects
Biomedical Research, Omics data, International Cooperation, Best practice, Information Dissemination, COST Action BM1204, Context (language use), Translational Research, Biomedical, Rare Diseases, Multidisciplinary approach, Neoplasms, Pancrea, Humans, Medicine, Precision Medicine, Mortality, Pancreas cancer, Genetics (clinical), Public health, Rare disease, Training and mobility, Data integration, Early-stage researchers, Harmonization, Health management system, business.industry, Research, Pancreatic Neoplasm, Public Health, Environmental and Occupational Health, Precision medicine, Research Personnel, ddc, Europe, Pancreatic Neoplasms, Practice Guideline, Action (philosophy), Health, Cancer research, Public Health, Personalized medicine, Therapeutic, business
Abstract

Background: Large-scale international collaboration is essential to decipher relevant information in the context of omics-scale interrogations in cancer research. This is even more important for rare and fatal diseases like pancreas cancer (PC). Methods: The COST Action BM1204 is a unique platform to facilitate the collaboration of a broad range of European and international PC multidisciplinary research groups in order to: (1) integrate knowledge and experience in a multidisciplinary way ‘from cell to society', (2) promote the application of uniform study tools and protocols, (3) foster their optimal use by early-stage researchers, (4) enhance the mobility and training of researchers, and (5) disseminate the results produced to the broader society. Results: This Action will develop novel interdisciplinary tools for collaborative research to improve our understanding of PC and its prevention, diagnosis and treatment. It also aims to answer questions related to the etiology, early detection, evidence-based and personalized treatment, and health management for PC. Furthermore, the Action will contribute to new insights into PC personalized medicine and beyond as well as to the understanding of complex and rare diseases taking PC as a best practice example. The Action aims at attracting young scholars across a range of disciplines in collaboration with more experienced researchers and enhancing active European participation in the international scenario of PC research. Conclusion: The ultimate aim is to foster PC research in Europe and to coordinate this effort with other international initiatives to reduce disease mortality.

Published
2013

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