Small Flies Meet Big Data: Genetic Convergence of Neurodevelopmental Disorders Modeled in <i>Drosophila</i>

Cultural inheritance and innovation is an important measure to enhance the vitality of traditional culture and realize the sharing of national culture. Mongolian folk music, as an important part of Chinese cultural resources, plays an irreplaceable role in inheriting Mongolian culture. How to better inherit the music culture of ethnic minorities has been a hot topic in the music education circle in recent years. However, when we focus on the campus inheritance of ethnic minority music, we have to pay attention to the original living space of ethnic minority music and its unique local inheritance method. What is the relationship between them? What are the similarities and differences? The investigation of the relationship between the two is an indispensable content for exploring the inheritance of minority music. This paper aims to study the innovation of the inheritance path of Mongolian folk song music culture, endow Mongolian folk song music with a new era connotation in the new era, and let the folk song music culture be inherited and revitalized in the in-depth contact with the masses. This paper proposes a method to study user needs with the help of dissemination big data, identify malicious traffic with the help of the Internet of Things, find the most touching music and cultural elements of users, innovate and integrate the Mongolian nation, avoid malicious traffic from invading Mongolian folk songs, and enhance the attractiveness of Mongolian folk songs. Experiments have shown that Mongolian folk songs have a strong appeal, and the participation rate of young people in Mongolian folk songs has increased by 20%.

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“…However, the article also has its shortcomings. For example, the survey sample of the article is too small and may not be representative [20,21].…”

Section: Discussionmentioning

confidence: 99%

The Innovation of Mongolian Folk Song Music Cultural Inheritance Path Based on Intelligent Computing Analysis of Communication Big Data

Chan

Chieng

2022

Security and Communication Networks

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“…And a large amount of experimental data obtained for D. melanogaster makes it possible to accurately identify the changes that occur in flies during their response to various types of stress. 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 Thus, this study reveals the role of the Dsup protein in a complicated network of interactions between biological processes in a non-tardigrade organism and assesses the possibility of using Dsup to increase resistance to ionizing radiation and ROS in the complex multicellular model organism D. melanogaster .…”

Section: Introductionmentioning

confidence: 92%

The tardigrade Dsup protein enhances radioresistance in Drosophila melanogaster and acts as an unspecific repressor of transcription

Zarubin,

Azorskaya,

Kuldoshina

et al. 2023

iScience

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“…Chen et al have proved through experiments that the retrieval method of big data classification can play a good role in differential retrieval in the database and effectively improve the accuracy of fast retrieval [ 12 ]. Karam et al comprehensively evaluated the databases of e-commerce enterprises from the aspects of the selection of cloud database structure, content classification, and database retrieval ability and simulated the retrieval process by using language data under different language systems [ 13 ]. The research results of Deblais et al show that the analysis engine ability of cloud database based on deep learning algorithm is higher than that of classical cloud database in terms of heterogeneous information [ 14 ].…”

Section: Related Workmentioning

confidence: 99%

Database Oriented Big Data Analysis Engine Based on Deep Learning

Shang

2022

Computational Intelligence and Neuroscience

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In recent years, with the development of enterprises to the Internet, the demand for cloud database is also growing, especially how to capture data quickly and efficiently through the database. In order to improve the data structure at all levels in the process of database analysis engine, this paper realizes the accurate construction and rapid analysis of cloud database based on big data analysis engine technology and deep learning wolf pack greedy algorithm. Through the deep learning strategy, a big data analysis engine system based on the deep learning model is constructed. The functions of deep learning technology, wolf greedy algorithm, and data analysis strategy in the cloud database analysis engine system are analyzed, as well as the functions of the whole analysis engine system. Finally, the accuracy and response speed of the cloud database analysis engine system are tested according to the known clustering data. The results show that compared with the traditional data analysis engine system with character search as the core, the database oriented big data analysis engine system based on a deep learning model and wolf swarm greedy algorithm has faster response speed and intelligence. The research application is that the proposed engine system can significantly improve the effect of the analysis engine and greatly improve the retrieval accuracy and analysis efficiency of fixed-point data in the database.

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Small Flies Meet Big Data: Genetic Convergence of Neurodevelopmental Disorders Modeled in Drosophila

Cited by 6 publications

References 18 publications

The Innovation of Mongolian Folk Song Music Cultural Inheritance Path Based on Intelligent Computing Analysis of Communication Big Data

The Innovation of Mongolian Folk Song Music Cultural Inheritance Path Based on Intelligent Computing Analysis of Communication Big Data

The tardigrade Dsup protein enhances radioresistance in Drosophila melanogaster and acts as an unspecific repressor of transcription

Database Oriented Big Data Analysis Engine Based on Deep Learning

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