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Article ; Online: Psychological Changes of Social Media on Charitable Cultural Behavior Based on Big Data Technology

Xi Chen

Journal of Environmental and Public Health, Vol

2022 Volume 2022

Abstract: With the advent of the era of big data, the world is facing the challenge of unprecedented information blowout growth, and Internet information processing technology has also ushered in rapid development. At the same time, charity culture has always been ...

Abstract	With the advent of the era of big data, the world is facing the challenge of unprecedented information blowout growth, and Internet information processing technology has also ushered in rapid development. At the same time, charity culture has always been a part that the state and society attach great importance to. It is a form of social wealth redistribution and a supplement to the social security system. Based on this social background and reality, this paper analyzes and explores the psychological changes of charitable cultural behavior by social media based on big data technology. This paper introduces latent semantic analysis and constructs the theoretical framework of social media. This paper introduces the related concepts of heart rate variability and mental state, collects the factor factors and constructs the model, and studies the PLS load and cross load. This paper makes a statistical analysis of the data of charitable donations in China from 2017 to 2021 and tests the validity of the questionnaire from the psychological level. The experimental results show that the correlation between the subscales of the questionnaire and the total scale is between 0.470 and 0.820, and the correlation between the dimensions is between 0.183 and 0.590. The correlation between the dimensions and the total score of the scale is higher than that between the dimensions, which shows that there are both connections and differences between the dimensions of the two scales, which are relatively independent, and the scale has a certain structural validity.
Keywords	Public aspects of medicine ; RA1-1270
Subject code	300
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network

Xi Chen

Computational Intelligence and Neuroscience, Vol

2021 Volume 2021

Abstract: Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefore, ... ...

Abstract	Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefore, in the era of big data, data mining and analysis of Chinese language teaching can effectively sum up experience and draw lessons, so as to improve the quality of Chinese language teaching and promote Chinese language culture. Text clustering technology can analyze and process the text information data and divide the text information data with the same characteristics into the same category. Based on big data, combined with convolutional neural network and K-means algorithm, this paper proposes a text clustering method based on convolutional neural network (CNN), constructs a Chinese language teaching data mining analysis system, and optimizes it so that the system can better mine Chinese character data in Chinese language teaching data in depth and comprehensively. The results show that the optimized k-means algorithm needs 683 iterations to achieve the target accuracy. The average K-measure value of the optimized system is 0.770, which is higher than that of the original system. The results also show that K-means algorithm can significantly improve the clustering effect, optimize the data mining analysis system of Chinese language teaching, and deeply mine the Chinese data in Chinese language teaching, so as to improve the quality of Chinese language teaching.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	410
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The LMARS Based Shallow‐Water Dynamical Core on Generic Gnomonic Cubed‐Sphere Geometry

Xi Chen

Journal of Advances in Modeling Earth Systems, Vol 13, Iss 1, Pp n/a-n/a (2021)

2021

Abstract: Abstract The rapidly increasing computing powers allow global atmospheric simulations with aggressively high resolutions, challenging traditional model design principles. This study presents a Low Mach number Approximate Riemann Solver (LMARS) based ... ...

Abstract	Abstract The rapidly increasing computing powers allow global atmospheric simulations with aggressively high resolutions, challenging traditional model design principles. This study presents a Low Mach number Approximate Riemann Solver (LMARS) based unstaggered finite‐volume model for solving the shallow‐water equations on arbitrary gnomonic cubed‐sphere grids. Using a novel reference line‐based grid‐generation process, it unifies the representation of arbitrary gnomonic cubed‐sphere grid projections and permits high‐efficiency 1D reconstruction in the halo regions. The numerical discretization also extends a widely used pressure gradient algorithm with the LMARS viscous term, thus improves the model's stability for various numerical applications. The solver demonstrates a broad range of organic diffusion control without any explicit filters, validated by a comprehensive set of test cases. Lastly, a newly introduced splash on the sphere test verifies the solver's desirable dispersion properties and consistent performance among different grid types. This study paves a solid foundation for a new generation of global circulation models with kilometer horizontal scales.
Keywords	cube‐sphere grid ; finite volume method ; Low Mach number Approximate Riemann Solver (LMARS) ; shallow water equations ; Physical geography ; GB3-5030 ; Oceanography ; GC1-1581
Subject code	518
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	American Geophysical Union (AGU)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Music Emotion Analysis Based on PSO-BP Neural Network and Big Data Analysis.

Xi, Chen

publication RETRACTED

Computational intelligence and neuroscience

2021 Volume 2021, Page(s) 6592938

Abstract: The current music teaching can effectively improve students' music emotional expression indirectly. How to use the PSO-BP neural network to realize the quantitative research of music emotional expression is the current development trend. Based on this, ... ...

Abstract	The current music teaching can effectively improve students' music emotional expression indirectly. How to use the PSO-BP neural network to realize the quantitative research of music emotional expression is the current development trend. Based on this, this paper studies the influence factors of music emotion expression based on PSO-BP neural network and big data analysis. Firstly, a music emotion expression analysis model based on PSO-BP neural network algorithm is proposed. The autocorrelation function is used to simulate the emotion expression information in music. Through the maximum value of the autocorrelation function curve in the detection process, the vocal music signal is restored, and then the emotion expressed is analyzed. Secondly, the influence factors of PSO-BP neural network algorithm in music emotion expression are analyzed. The improved PSO-BP neural network algorithm and multidimensional data model are used for comprehensive analysis to accurately analyze the emotion in music expression, and the fuzzy evaluation method and analytic hierarchy process are used for quality evaluation. Finally, the validity of the music emotion analysis model is verified by many experiments.
MeSH term(s)	Algorithms ; Data Analysis ; Emotions ; Humans ; Music ; Neural Networks, Computer
Language	English
Publishing date	2021-09-03
Publishing country	United States
Document type	Journal Article ; Retracted Publication
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2021/6592938
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Nighttime Lights and Population Migration

Xi Chen

Remote Sensing, Vol 12, Iss 1, p

Revisiting Classic Demographic Perspectives with an Analysis of Recent European Data

2020 Volume 169

Abstract: This study examines whether the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime lights can be used to predict population migration in small areas in European Union (EU) countries. The analysis uses the most current data measured at the ... ...

Abstract	This study examines whether the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime lights can be used to predict population migration in small areas in European Union (EU) countries. The analysis uses the most current data measured at the smallest administrative unit in 18 EU countries provided by the European Commission. The ordinary least squares regression model shows that, compared to population size and gross domestic product (GDP), lights data are another useful predictor. The predicting power of lights is similar to population but it is much stronger than GDP per capita. For most countries, regression models with lights can explain 50−90% of variances in small area migrations. The results also show that the annual VIIRS lights (2015−2016) are slightly better predictors for migration population than averaged monthly VIIRS lights (2014−2017), and their differences are more pronounced in high latitude countries. Further, analysis of quadratic models, models with interaction effects and spatial lag, shows the significant effect of lights on migration in the European region. The study concludes that VIIRS nighttime lights hold great potential for studying human migration flow, and further open the door for more widespread application of remote sensing information in studying dynamic demographic processes.
Keywords	viirs lights ; human population migration ; population size ; demographic theories ; gdp ; spatial lag model ; Science ; Q
Subject code	310
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The relationship of serum Myostatin content with lipid metabolism, insulin resistance and inflammatory response in patients with polycystic ovary syndrome

Xi Chen

Journal of Hainan Medical University, Vol 25, Iss 22, Pp 55-

2020 Volume 58

Abstract: Objective: Objective: To investigate the relationship of serum Myostatin content with lipid metabolism, insulin resistance and inflammatory response in patients with polycystic ovary syndrome (PCOS). Methods: 118 PCOS patients were taken as the PCOS ... ...

Abstract	Objective: Objective: To investigate the relationship of serum Myostatin content with lipid metabolism, insulin resistance and inflammatory response in patients with polycystic ovary syndrome (PCOS). Methods: 118 PCOS patients were taken as the PCOS group, and 100 healthy women of child-bearing age who underwent physical examination in our hospital during the same period were taken as the normal control group. The differences in serum Myostatin content, lipid metabolism index levels, insulin resistance index levels and inflammatory mediator contents were compared between the two groups, and the internal relationship between serum Myostatin content and the above disease-related index levels in PCOS patients was further analyzed. Results: Serum Myostatin content of PCOS group was higher than that of normal control group. Peripheral blood lipid metabolism indexes TC, LDL-C and ApoB levels of PCOS group were higher than those of normal control group whereas HDL-C and ApoA-Ⅰ levels were lower than those of normal control group; insulin resistance indexes FINS and HOMA-IR levels were higher than those of normal control group; inflammatory mediators IL-18, MCP-1 and CRP contents were higher than those of normal control group. Pearson test showed that serum Myostatin content in PCOS patients was directly correlated with the levels of the above disease-related indexes. Conclusion: Serum Myostatin content is abnormally high in PCOS patients, and the specific content is positively correlated with the disease severity.
Keywords	polycystic ovary syndrome ; myostatin ; lipid metabolism ; insulin resistance ; inflammatory response ; Medicine ; R
Subject code	610
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	Editorial Board of Journal of Hainan Medical University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: User-friendly bioorthogonal reactions click to explore glycan functions in complex biological systems

Xi Chen / Ajit Varki

The Journal of Clinical Investigation, Vol 133, Iss

2023 Volume 6

Keywords	Medicine ; R
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	American Society for Clinical Investigation
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: “I was afraid, because I was naked”

Shilong Tao / Xi Chen

Heliyon, Vol 9, Iss 10, Pp e20989- (2023)

Ethical literary criticism, the fall of Adam and Eve and moral teaching

2023

Abstract: This article explores the moral teachings in the fall of Adam and Eve (Gen 2:4–3:24) from the perspective of ethical literary criticism. According to the theory of three stages in human civilization—natural, ethical and scientific selection, the fall of ... ...

Abstract	This article explores the moral teachings in the fall of Adam and Eve (Gen 2:4–3:24) from the perspective of ethical literary criticism. According to the theory of three stages in human civilization—natural, ethical and scientific selection, the fall of Adam and Eve represents the historical process of human civilization going from natural selection to ethical selection. It is ethical selection that enables Adam and Eve to have ethical consciousness and distinguish themselves from animals, which provides ideas for the birth and growth of humans and highlights the function of “moral teaching and learning” in children's education. Besides, the so-called original sin is the animal factor remained in human beings after natural selection, which can bring about different ethical predicaments of “to be or not to be” and lead to making wrong ethical choices. The fall of Adam and Eve indicates that human beings are born with Sphinx factor—human factor and animal factor and integrate into the secular life and religious activity with divine factor. Once the animal factor of an individual is out of control, breaking the ethical taboo and violating the moral order or religious rule without exerting the power of human factor or divine factor, there will inevitably be punishments and tragedies. The fall of Adam and Eve is such an ethical tragedy, which purifies primitive desires and evokes moral emotions through pity and fear to uphold the morality in society and the authority in religion.
Keywords	The fall of Adam and Eve ; Ethical literary criticism ; Moral teaching ; Ethical selection ; Animal factor ; Ethical taboo ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Subject code	170
Language	English
Publishing date	2023-10-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Role of Digital Transformation in the Relationship between Industrial Policies and Technological Innovation Performance

Taiming Chen / Xi Chen

Sustainability, Vol 15, Iss 5785, p

Evidence from the Listed Wind Power Enterprises in China

2023 Volume 5785

Abstract: With the trend of innovation-driven development and the deepening application of digital technology, the role of digital transformation in the relationship between industrial policies and enterprise innovation is becoming increasingly significant, but it ...

Abstract	With the trend of innovation-driven development and the deepening application of digital technology, the role of digital transformation in the relationship between industrial policies and enterprise innovation is becoming increasingly significant, but it has rarely been analyzed in previous studies. In order to fill this research gap, this study takes listed wind power enterprises in China from 2007 to 2021 as a sample, and it combines a large number of relevant policy documents issued by the State Council, the Ministry of Industry and Information Technology, the National Energy Administration, and other government departments to investigate the impact of digital transformation on the relationship between industrial policies and enterprise technological innovation performance. This study found that both demand-side policy and supply-side policy have significantly promoted the technological innovation performance of enterprises. There is a synergistic effect between demand-side policy and supply-side policy, and demand-side policy strengthens the promotional effect of supply-side policy on technological innovation performance. Moreover, digital transformation can promote the technological innovation performance of enterprises. Further research has found that digital transformation can strengthen the synergistic effect between demand-side policy and supply-side policy and strengthen the positive impact of demand-side policy on technological innovation performance, but that it has weakened the incentive role of supply-side policy.
Keywords	digital transformation ; industrial policy ; demand-side policy ; supply-side policy ; technological innovation performance ; wind power ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	339
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Recent Applications of Flavin-Dependent Monooxygenases in Biosynthesis, Pharmaceutical Development, and Environmental Science

Yuze Guan / Xi Chen

Catalysts, Vol 13, Iss 12, p

2023 Volume 1495

Abstract: Flavin-dependent monooxygenases (FMOs) have raised substantial interest as catalysts in monooxygenation reactions, impacting diverse fields such as drug metabolism, environmental studies, and natural product synthesis. Their application in biocatalysis ... ...

Abstract	Flavin-dependent monooxygenases (FMOs) have raised substantial interest as catalysts in monooxygenation reactions, impacting diverse fields such as drug metabolism, environmental studies, and natural product synthesis. Their application in biocatalysis boasts several advantages over conventional chemical catalysis, such as heightened selectivity, safety, sustainability, and eco-friendliness. In the realm of biomedicine, FMOs are pivotal in antibiotic research, significantly influencing the behavior of natural products, antimicrobial agents, and the pathways critical to drug synthesis They are also underscored as potential pharmaceutical targets, pivotal in opposing disease progression and viable for therapeutic intervention. Additionally, FMOs play a substantial role in environmental science, especially in pesticide processing and in preserving plant vitality. Their involvement in the biosynthesis of compounds like polyethers, tropolones, and ω-hydroxy fatty acids, with remarkable regio- and stereoselectivity, renders them indispensable in drug discovery and development. As our comprehension of FMOs’ catalytic mechanisms and structures advances, through the use of cutting-edge biotechnologies like computational design and directed evolution, FMOs are poised to occupy an increasingly significant role in both scientific exploration and industrial applications.
Keywords	flavin-dependent monooxygenases (FMOs) ; natural product biosynthesis ; biocatalysis ; pharmaceutical development ; heteroatom hydroxylation ; Baeyer–Villiger oxidation ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
Subject code	540
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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