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In this work, breakdown strength and lifetime curve of oil-impregnated paper (OIP) are compared at 50Hz and 1500 Hz. For the ramp breakdown tests, sinusoidal voltage ramp of 1 kVp/s is used. The ramp breakdown experiments is conducted on OIP samples made of single and double sheets of OIP. Weibull plots and interpretation of the results are presented. In order to obtain lifetime curves, a step sinusoidal voltage waveform whose peak value is close to the minimum OIP ramp breakdown voltage is applied on single sheet of OIP samples. Time to breakdown is measured, and each experiment is repeated between 20-30 times to obtain good statistical results. The experiments were focused on four different voltage levels and the lifetime curves are plotted for those two target frequencies. Parameters of the lifetime curves are extracted and the interpretation is given., Accepted Author Manuscript, DC systems, Energy conversion & Storage

To measure the glucose concentration in blood is an important target for point-of-care diagnostics. We integrated a colorimetric assay on synthetic paper, a novel lateral flow test substrate, for quantitative glucose measurement. At first, we dropped a colorimetric enzyme assay in silk solution on one end of the synthetic paper test strip and dried it in a vacuum chamber for overnight. After that, we flowed glucose solution on the test strip, imaged the test strip by smartphone, and analyzed the images with ImageJ. Exponential fitting of the experimental data revealed a low limit of detection of the assay to be 0.21 mM, and the R-2 is 0.99 for the concentration (0 - 15 mM), which covers the clinically relevant blood glucose concentration (2 - 12 mM). This test strip can he further developed into a test for glucose quantification in whole blood., Part of proceedings: ISBN 978-0-7381-2429-2, QC 20230117

Rapid increase in scholarly publications on the web has posed a new challenge to the researchers in finding highly relevant and important research articles associated with a particular area of interest. Even a highly relevant paper is sometimes missed especially for novice researchers due to lack of knowledge and experience in finding and accessing the most suitable articles. Scholarly recommender system is a very appropriate tool for this purpose that can enable researchers to locate relevant publications easily and quickly. However, the main downside of the existing approaches is that their effectiveness is dependent on priori user profiles and thus, they cannot recommend papers to the new users. Furthermore, the system uses both public and non-public metadata and therefore, the system is unable to find similarities between papers efficiently due to copyright restrictions. Considering the above challenges, in this research work, a novel hybrid approach is proposed that separately combines a Content Based Filtering (CBF) recommender module and a Collaborative Filtering (CF) recommender module. Unlike previous CBF and CF approaches, public contextual metadata and paper-citation relationship information are effectively incorporated into these two approaches separately to enhance the recommendation accuracy. In order to verify the effectiveness of the proposed approach, publicly available datasets were employed. Experimental results demonstrate that the proposed approach outperforms the baseline approaches in terms of standard metrics (precision, recall, F1-measure, mean average precision, and mean reciprocal rank), indicating that the proposed approach is more efficient in recommending scholarly publications.