Biodegradable gel-emulsion for pharmaceutical and cosmetic applications by Novenia, Oerip Ariyani

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Flickering of fluorescent lightings by Chen, Shiun.

“…Light flickering was traditionally associated with incandescent lamps as the lamp luminance fluctuates with the RMS values of the supplied voltage. …”
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Loss of caveolin-1 impairs light flicker-induced neurovascular coupling at the optic nerve head by Loo, Jing Hong, Lee, Ying Shi, Woon, Chang Yi, Yong, Victor H. K., Tan, Bingyao, Schmetterer, Leopold, Chong, Rachel S.

“…Therefore, we aim to evaluate the effects of Cav-1 depletion on neurovascular coupling, retinal vessel characteristics, RGC density and the positive scotopic threshold response (pSTR) in Cav-1 knockout (KO) versus wild type C57/Bl6 mice (WT). Following light flicker stimulation of the retina, Cav-1 KO mice showed a smaller increase in perfusion at the optic nerve head and peripapillary arteries, suggesting defective neurovascular coupling. …”
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The philosophers versus the sponge: feeling early modern by Ibbett, K

“…This chapter considers some routes to an early modern account of affect, and examines the place of gender in those accounts. It follows the flickering presence of gender in the exchanges between René Descartes and Elisabeth of Bohemia, and in Descartes’s work on the passions, before asking whether we might find better sources for a gendered affect in forms of religious writing addressed to women such as that of François de Sales. …”

Spectrum and phase adaptive CCA for SSVEP-based brain computer interface by Zhang, Zhuo, Wang, Chuanchu, Ang, Kai Keng, Wai, Aung Aung Phyo, Guan, Cuntai

“…With the flexible reference signal generating approach, the system can be optimized for any specific flickering source, include LED, computer screen and mobile devices. …”
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Investigation and analysis of 1/f noise in sub-micron NMOS devices by Hla Myo.

“…This thesis develops a systematic framework for the flicker noise measurement, characterization and simulation of deep sub-micron MOSFETs. …”
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Object mining using a matching graph on very large image collections by Philbin, J, Zisserman, A

“…This work focuses on grouping images containing the same object, despite significant changes in scale, viewpoint and partial occlusions, in very large (1M+) image collections automatically gathered from Flicker. The scale of the data and the extreme variation in imaging conditions makes the problem very challenging. …”