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Articles 1 - 2 of 2
Full-Text Articles in Engineering
Quaternary Ammonium Silane-Functionalized, Methacrylate Resin Composition With Antimicrobial Activities And Self-Repair Potential, Shi-Qiang Gong, Li-Na Niu, Lisa K. Kemp, Cynthia K.Y. Yiu, Heonjune Ryou, Yi-Pin Qi, John D. Blizzard, Sergey Nikonov, Martha G. Brackett, Regina L.W. Messer, Christine D. Wu, Jing Mao, L. Bryan Brister, Frederick A. Rueggeberg, Dwayne D. Arola, David H. Pashley, Franklin R. Tay
Quaternary Ammonium Silane-Functionalized, Methacrylate Resin Composition With Antimicrobial Activities And Self-Repair Potential, Shi-Qiang Gong, Li-Na Niu, Lisa K. Kemp, Cynthia K.Y. Yiu, Heonjune Ryou, Yi-Pin Qi, John D. Blizzard, Sergey Nikonov, Martha G. Brackett, Regina L.W. Messer, Christine D. Wu, Jing Mao, L. Bryan Brister, Frederick A. Rueggeberg, Dwayne D. Arola, David H. Pashley, Franklin R. Tay
Faculty Publications
The design of antimicrobial polymers to address healthcare issues and minimize environmental problems is an important endeavor with both fundamental and practical implications. Quaternary ammonium silane-functionalized methacrylate (QAMS) represents an example of antimicrobial macromonomers synthesized by a sol–gel chemical route; these compounds possess flexible Si–O–Si bonds. In present work, a partially hydrolyzed QAMS co-polymerized with 2,2-[4(2-hydroxy 3-methacryloxypropoxy)-phenyl]propane is introduced. This methacrylate resin was shown to possess desirable mechanical properties with both a high degree of conversion and minimal polymerization shrinkage. The kill-on-contact microbiocidal activities of this resin were demonstrated using single-species biofilms of Streptococcus mutans (ATCC 36558), Actinomyces naeslundii (ATCC …
Error Estimation Techniques To Refine Overlapping Aerial Image Mosaic Processes Via Detected Parameters, William Glenn Bond
Error Estimation Techniques To Refine Overlapping Aerial Image Mosaic Processes Via Detected Parameters, William Glenn Bond
Dissertations
In this paper, I propose to demonstrate a means of error estimation preprocessing in the assembly of overlapping aerial image mosaics. The mosaic program automatically assembles several hundred aerial images from a data set by aligning them, via image registration using a pattern search method, onto a GIS grid.
The method presented first locates the images from a data set that it predicts will not align well via the mosaic process, then it uses a correlation function, optimized by a modified Hooke and Jeeves algorithm, to provide a more optimal transformation function input to the mosaic program. Using this improved …