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We have built a database of 4200 technology-intensive entrepreneurial firms that draws on over 30 distinct data sources and includes details on company founders, annual firm employment and engagement with the entrepreneurial ecosystem.
Statistically combining two, relatively distinct, data sources is the goal of data fusion.
To construct blocks on distinct data sources without leaking any private information, our approach utilizes k-anonymity and Paillier cryptosystem privacy techniques.
The CitySDK platform is capable of incorporating several distinct data sources by using a modular approach where each one of the data sources provides its information through a Data Adapter module.
In addition, the use of distinct data sources (morphology, mtDNA, microsatellites, etc).
Since we are integrating three distinct data sources, three interconnected subgraphs are obtained.
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Despite the number of UEMs suggested to support the gathering of users' design feedback, no coherent body of knowledge on users' design feedback as a distinct data source has been established.
Furthermore, each distinct data source contained data from one point in time, but these do not necessarily match.
When combining data from several sources we rewrite equation 9 for the edge probabilities as: (10) p i, j = 1 − Π k 1 − 2 α n i, j, k Π k ′ 1 − 2 α ′ n i, j, k ′ …, where the terms in each square bracket come from each distinct data source and the Greek letters are the corresponding confidence parameters.
ICA completely decomposes single-trial (or continuous) EEG data, separating the data into distinct information sources.
Recent methodologies focus more on integration of distinct biological data sources, which contribute to more accurate predictions of gene annotation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com