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Sajjad Rahmani Dabbagh Fazle Rabbi Zafer Doan Ali Kemal Yetisen Savas Tasoglu 《Biomicrofluidics》2020,14(6)
High-throughput, cost-effective, and portable devices can enhance the performance of point-of-care tests. Such devices are able to acquire images from samples at a high rate in combination with microfluidic chips in point-of-care applications. However, interpreting and analyzing the large amount of acquired data is not only a labor-intensive and time-consuming process, but also prone to the bias of the user and low accuracy. Integrating machine learning (ML) with the image acquisition capability of smartphones as well as increasing computing power could address the need for high-throughput, accurate, and automatized detection, data processing, and quantification of results. Here, ML-supported diagnostic technologies are presented. These technologies include quantification of colorimetric tests, classification of biological samples (cells and sperms), soft sensors, assay type detection, and recognition of the fluid properties. Challenges regarding the implementation of ML methods, including the required number of data points, image acquisition prerequisites, and execution of data-limited experiments are also discussed. 相似文献
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Rabbi Howard I. Bogot 《Journal of Jewish Education》2013,79(3-4):29-31
The infrequently used label mishshamshim baKodesh may well capture the essential life-style most needed, and authentic, for bureaus of education; central agencies for Jewish education in communities whose variant demographics and structure mandate a caveat for generalizations. 相似文献
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Rabbi Harry Levi∗ 《Religious education (Chicago, Ill.)》2013,108(5):357-360
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Rabbi Stuart Kelman 《Religious education (Chicago, Ill.)》2013,108(4):322-334
Power both defines and confuses the roles of clergy and lay volunteers within a congregation. One Kabalistic model that describes the relationship between God and humans is used to provide a structural analogy to the issue of clergy and lay volunteer relationships. 相似文献
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