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Basic Research: How Much do we Know, and What are we Likely to Learn About Ovarian Cancer in the Near Future? (1999)

Hamilton, T. C. ; Berek, J. S. ; Kaye, S. B.

Springer

Annals of oncology 10 (1999), S. 69-73

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ISSN: 1569-8041

Keywords: BRCA1 ; experimental mod ; ovarian tumours ; ROSE ; suppressor genes

Source: Springer Online Journal Archives 1860-2000

Topics: Medicine

Notes: Abstract The scientific community, which studies ovarian cancer in the laboratory, is making progress in understanding many aspects of the disease. At present there is evidence that the cancer prone ovary has a preneoplastic phenotype. These genetic changes may constitute a surrogate intermediate end-point biomarker of cancer risk, which might be altered by preventive measures. Studies that aim at understanding the genetic basis of the disease are reviewed. Many of these studies use clinical ovarian cancer samples. To augment study of clinical specimens, an experimental system has been developed where malignancy is induced in the rat ovarian surface epithelium (ROSE). This system markedly facilitates examination of how genes fit into the ovarian cancer puzzle. The problem of drug resistance in ovarian cancer has received considerable attention. Although the functional changes responsible for resistance have been identified there has been little progress in identifying the actual g enes capable of conferring the substantial resistance seen in cell lines.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1023/A:1008367620240

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In-situ monitoring of the resin transfer molding impregnation and cure process (1991)

Kranbuehl, D. ; Eichinger, D. ; Hamilton, T. ; [et al.]

Stamford, Conn. [u.a.] : Wiley-Blackwell

Polymer Engineering and Science 31 (1991), S. 56-60

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ISSN: 0032-3888

Keywords: Chemistry ; Chemical Engineering

Source: Wiley InterScience Backfile Collection 1832-2000

Topics: Chemistry and Pharmacology , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics

Notes: Resin transfer molding (RTM) of advanced fiber architecture materials promises to be a cost effective process for obtaining composite parts with exceptional strength. However there are a larger number of material processing parameters that must be observed, known, and/or controlled during the resin transfer molding process. These include the viscosity both during impregnation and cure. In-situ sensors which can observe these processing properties within the RTM tool during the fabrication process are essential. This paper will discuss recent work on the use of frequency dependent electromagnetic sensing (FDMS) techniques to monitor these properties in the RTM tool. Our objective is to use these sensing techniques to address problems of RTM scaleup for large complex parts and to develop a closed loop, intelligent, sensor controlled RTM fabrication process.

Additional Material: 9 Ill.