Correction: (In)Visible illness: A photovoice study of the lived experience of self-managing rheumatoid arthritis

Donnelly, Susie; Wilson, Anthony G.; Mannan, Hasheem; Dix, Claire; Whitehill, Laura; Kroll, Thilo

doi:10.1371/journal.pone.0250451

Cited by 2 publications

(1 citation statement)

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“…Under the new situation that China attaches great importance to the modernization of governance system and governance capacity, strengthening and improving public management has risen to the strategic level, especially optimize and improve the public management model, promote the construction of public management system, and strive to improve the level of public management [1,2]. From the current overall operation of public management, although it has made progress compared with the past and shows a good trend, the pertinence, systematicness, and integration of public management are not strong according to the research and analysis according to high standards, especially in promoting the e ective integration, connection, and interaction between big data technology and public management, which directly leads to a series of problems that cannot be ignored [3].…”

Section: Introductionmentioning

confidence: 99%

Research on Public Management Application Innovation Based on Spark Big Data Framework

Zhi

2022

Mathematical Problems in Engineering

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Public management service is the key to urban intelligent construction. This paper proposes an analysis method and model based on Spark big data framework and takes resident income, happiness index, urban planning, and ecological environment as the indicators of Spark big data. From the high difficulty of Spark big data cluster analysis of urban public management, we build the index weight by the entropy weight method, optimize the similarity calculation, and achieve the rapid understanding of urban public management. Subsequently, the Spark big data public management platform is applied to the public management of Beijing. The results indicate that the public management platform based on Spark big data framework can improve the public management level of the city and help to build an intelligent city.

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Section: Introductionmentioning

confidence: 99%