Evidence map›Paper›PMID 38560234›Full record

ArticleHeliyon2024

The development and dissemination of intelligent storage management software of Chinese excellent traditional culture based on blockchain in the era of financial media.

XiaoHong Zhong

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

XiaoHong ZhongAcademy of Arts, Shandong University, Weihai, 264209, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the era of media convergence, the storage management and inheritance of excellent traditional Chinese culture will usher in new opportunities, creating new opportunities for tapping the contemporary value of traditional culture. This work aims to explore the current protection and innovation of excellent traditional Chinese culture. It takes the digital storage and communication of intangible cultural heritage as an example to summarize the status quo of its storage management and communication, leading to the necessity of intelligent storage of excellent traditional culture. Meanwhile, in terms of intelligent storage management and communication, the application innovation of media convergence combined with blockchain technology has entered the public's vision. To better realize the intelligent storage and communication of excellent traditional Chinese culture, this work mainly studies how to operate the clever integration mechanism of media convergence and blockchain technology and summarizes the advantages of the two. The software development and design of the traditional culture storage system platform are carried out, and the platform's structural characteristics and development process are clarified. Finally, the mechanism is applied to the intelligent storage management and communication of traditional culture to test the time consumption of its network storage and information query. The results show that the test network has a good overall performance, short time consumption and stable operation when the storage network access is not blocked. This work can provide a more diversified information storage management and communication scheme, and provide a theoretical and practical basis for the intelligent storage management and communication of excellent traditional Chinese culture.

Indexed as

BlockchainMechanism testMedia convergenceSoftware developmentStorage and communicationTraditional culture

Identifiers

PMID38560234
PMCPMC10979193

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.