Yansheng Li
Biographic Data
| ID | 6273843 |
|---|---|
| NAME | Yansheng Li |
| GIVEN NAMES | Yansheng |
| FAMILY NAME | Li |
| SIGNATURE | LI Y |
| AFFILIATIONS | Wuhan University |
| ORCID | 0000-0003-3184-142X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Musical education and academic motivation in highly developed AI technology
The integration of artificial intelligence (AI) into music education enhances student motivation and engagement. This study aims to determine the impact of Flowkey, an AI-based piano teaching app, on the academic motivation of piano students. The study involved two groups of music students recruited from several conservatories in China. One group used the Flowkey app to learn the piano, while the other received traditional instructions. The MUSIC…
Rising disparities in grain self-sufficiency across China
Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning
The rapid development of the digital age has led to a qualitative leap in social media. To meet the cognitive needs of users, social media platforms have been mining users’ private information and disseminating information through various means. However, these platforms lack effective management of information release and various forms of emotional expressions make public propaganda increasingly diverse and complex. Therefore, accurately identify…
Optimizing bowel preparation for colonoscopy
Background The quality of bowel preparation is an important factor in the success of colonoscopy. However, the quality of bowel preparation is often affected by multiple factors. The main objective of this study was to explore the specific factors that affect the quality of bowel preparation. Methods Patients were consecutively recruited from the gastroenterology department in Union Hospital, Tongji Medical College, Huazhong University of Science…
Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms
Background: The association between prenatal pesticide exposures and a higher incidence of small-for-gestational-age (SGA) births has been reported. No prediction model has been developed for SGA neonates in pregnant women exposed to pesticides prior to pregnancy. Methods: = 151) of the dataset were split at random. Traditional logistic regression (LR) method and six machine learning classifiers were used to develop prediction models for SGA neon…
Soybean yield and quality relative to Mollisols fertility with 7‐year consecutive cattle manure application under maize‐soybean rotation
Improving soil productivity is the best way to increase grain production by 1% annually for feeding the rising population within the next 20 years in China. Nevertheless, how soybean yield and seed quality are affected by improving soil quality via consecutive manure addition are still unclear. A 7‐year consecutive cattle manure addition experiment was conducted under a soybean [ Glycine max (Merrill.) L.] and maize ( Zea mays L.) rotation in Mol…
Reducing topsoil depth decreases the yield and nutrient uptake of maize and soybean grown in a glacial till
Soil erosion decreases topsoil depth on hill slopes and increases depth in depositional areas, and hence impacts soil fertility and crop productivity in agricultural systems. However, it is not clearly elucidated how different crop species adapt to soil erosion regarding root function, nutrient uptake, and rhizosphere biochemical properties, which is pivotal to cropping strategy. We established three simulated erosion severities with topsoil dept…
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Soybean yield and quality relative to Mollisols fertility with 7‐year consecutive cattle manure application under maize‐soybean rotation
Improving soil productivity is the best way to increase grain production by 1% annually for feeding the rising population within the next 20 years in China. Nevertheless, how soybean yield and seed quality are affected by improving soil quality via consecutive manure addition are still unclear. A 7‐year consecutive cattle manure addition experiment was conducted under a soybean [ Glycine max (Merrill.) L.] and maize ( Zea mays L.) rotation in Mol…
Reducing topsoil depth decreases the yield and nutrient uptake of maize and soybean grown in a glacial till
Soil erosion decreases topsoil depth on hill slopes and increases depth in depositional areas, and hence impacts soil fertility and crop productivity in agricultural systems. However, it is not clearly elucidated how different crop species adapt to soil erosion regarding root function, nutrient uptake, and rhizosphere biochemical properties, which is pivotal to cropping strategy. We established three simulated erosion severities with topsoil dept…
Optimizing bowel preparation for colonoscopy
Background The quality of bowel preparation is an important factor in the success of colonoscopy. However, the quality of bowel preparation is often affected by multiple factors. The main objective of this study was to explore the specific factors that affect the quality of bowel preparation. Methods Patients were consecutively recruited from the gastroenterology department in Union Hospital, Tongji Medical College, Huazhong University of Science…
Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms
Background: The association between prenatal pesticide exposures and a higher incidence of small-for-gestational-age (SGA) births has been reported. No prediction model has been developed for SGA neonates in pregnant women exposed to pesticides prior to pregnancy. Methods: = 151) of the dataset were split at random. Traditional logistic regression (LR) method and six machine learning classifiers were used to develop prediction models for SGA neon…
Trusted Multimodal Socio-Cyber Sentiment Analysis Based on Disentangled Hierarchical Representation Learning
The rapid development of the digital age has led to a qualitative leap in social media. To meet the cognitive needs of users, social media platforms have been mining users’ private information and disseminating information through various means. However, these platforms lack effective management of information release and various forms of emotional expressions make public propaganda increasingly diverse and complex. Therefore, accurately identify…
Musical education and academic motivation in highly developed AI technology
The integration of artificial intelligence (AI) into music education enhances student motivation and engagement. This study aims to determine the impact of Flowkey, an AI-based piano teaching app, on the academic motivation of piano students. The study involved two groups of music students recruited from several conservatories in China. One group used the Flowkey app to learn the piano, while the other received traditional instructions. The MUSIC…
Rising disparities in grain self-sufficiency across China
Computer Science (3 works) · Medicine (3 works) · Agronomy (2 works) · Artificial Intelligence (2 works) · Biology (2 works) · Environmental Science (2 works) · Internal Medicine (2 works) · Machine learning (2 works) · Mollisol (2 works) · Political science (2 works)