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Tom
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1--37
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
- Instytut Maszyn Przepływowych PAN w Gdańsku
autor
- Instytut Maszyn Przepływowych PAN w Gdańsku
Bibliografia
- [1] Bassani R., D’Acunto M.: Nanotribilogy: tip-sample wear under adhesivecontact. Tribology International, vol. 33, 2000, 443–452.
- [2] Parkansky N., Boxman R.L., Goldsmith L., Rosenberg Y.: Arc erosionreduction on electrical contacts using transverse current injection. IEEE Transactions on Plasma Science, vol. 25, 1997, 543–547.
- [3] Ciupan C., Pop A., Morar L.: The Mathematical Model of AbrasiveWaterjet Milling Process. Advanced Materials Research, 2007, 187–190.
- [4] Wu Q., Mohan R., Niemierko A., Schmidt-Ullrich R.: Optimizationof intensity-modulated radiotherapy plans. Int. J. Radiation Oncology,Biol. Phys., vol. 52, 2002, 224–235.
- [5] Jurewicz E., Giren B.G., Steller J.: On possible contribution of cavitationerosion to the mass loss process within shear zones. Acta GeologicaPolonica, vol. 57, 2007, 305–323.
- [6] Antonini A.,. Giadrossi A.: Turbine behavior under cavitation conditions.Int. Water Power & Dam Construction, vol. 33, 1981, 25–28.
- [7] Steller J. (red.): International Cavitation Erosion Test, PreliminaryReport, Pt. 2, Experimental Data. Instytut Maszyn Przepływowych PAN, 20/98, Gdansk 1998.
- [8] Giren B.G., Steller J.: Random multistage input and energy partition approach to the description of cavitation erosion process. Stochastic Environmental Research and Risk Assessment, vol. 23, 2009, 263–273.
- [9] Enbrel, Data Sheet : http://www.fda.gov/Cder/biologics/review/etanimm011502r1p1.pdf http://www.medsafe.govt.nz/profs/Datasheet/e/Enbrelinj.htm
- [10] Kirkby N.F., Burnet N.G., Faraday D.B.F.: Mathematical modelling of the response of tumour cells to radiotherapy. Nuclear Instruments and Methods in Physics Research B, vol. 188, 2002, 210–215.
- [11] Bowe S.E. et al.:Weight bearing as a measure of disease progression and efficacy of anti-inflammatory compounds in a model of monosodium iodoacetate-induced osteoarthriti. Osteoarthritis and Cartilage, vol. 11, 2003, 821–830.
- [12] Pelletier J.P.: Risk factors associated with the loss of cartilage volume on weight-bearing areas in knee osteoarthritis patients assessed by quantitative magnetic resonance imaging: a longitudinal study. Arthritis Research & Therapy, vol. 9, 2007 http://arthritis-research.com/content/9/4/R74
- [13] Guerne P.-A.: Analyse des HLA de classe II dans la polyarthrite rhumato ¨ıde (PR): rˆoles dans la susceptibilit´e et la s´ev´erit´e de la maladie. Universit´e de Gen`eve, Faculte de Medecine, Th`ese no. M`ed. 10307, Gen`eve 2003.
- [14] Preziosi L. (ed.): Cancer Modelling and Simulation. Chapman and Hall/CRC Mathematical Biology and Medicine Series, CRC Press LLC, 2003.
- [15] Ganguly R., Puri I.K.: Mathematical model for chemotherapeutic drug efficacy in arresting tumor growth based on the cancer stem cell hypothesis. Cell Prolif., vol. 40, 2007, 338–354.
- [16] Huff C.A., Matsui W., Smith B., Jones R.J.: The paradox of response and survival in cancer therapeutics. Blood, vol. 107, No. 2, 2006, 431–434.
- [17] Press W.H., Teukolsky S.A, Vetterrling W.T., Flannery B.P.: Numerical Recipes in Fortran. Cambridge University Press, 1992.
- [18] IBM System/360 Application Program: The Scientific Subroutine Package (SSP).
- [19] Michels H.: The Data Plotting Software DISLIN. http://www.dislin.de
- [20] Bharuch-Reid A.T.: Random Integral Equations. Academic Press, New York 1972, 98–133.
- [21] Sobczyk K.: Stochastyczne równania rózniczkowe. Wydawnictwa Naukowo-Techniczne, Warszawa 1996.
- [22] Krysicki W. i in.: Rachunek prawdopodobienstwa i statystyka matematyczna w zadaniach PWN, Warszawa 1995.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-230d2cc9-3336-4236-b76d-825154229223