Jianhua Ma
Biographic Data
| ID | 4985678 |
|---|---|
| NAME | Jianhua Ma |
| GIVEN NAMES | Jianhua |
| FAMILY NAME | Ma |
| SIGNATURE | MA J |
| AFFILIATIONS | Hosei University |
| ORCID | 0000-0003-4497-0407 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The mediating role of body roundness index in the association between dietary inflammatory index and depression
This study firstly identified a mediating role of BRI in the association between DII and depressive symptoms, suggesting that visceral obesity may be an important pathway through which dietary inflammation affects depression. Our findings may provide evidence-based insights to guide targeted interventions to prevent depression at the population level
Association of Life’s Crucial 9 with cognitive function and stroke risk
Higher LC9 scores are associated with better cognitive function and lower odds of stroke. These findings suggest that incorporating mental health metrics, such as depression, into cardiovascular health assessments enhances the predictive power for cognitive outcomes and stroke prevention
LASGRec
With the explosion of information, personalized recommender plays a vital role in almost all economic platforms. Usually, the recommender exploits user–item (UI) interactive data to learn users’ latent interests, and then correspondingly conducts recommendations. To address the problem of sparse interactions, graph neural networks (GNNs) have been used to efficiently learn the latent representations of users and items, through structurally modeli…
Alterations of gut microbiota and its correlation with the liver metabolome in the process of ameliorating Parkinson's disease with Buyang Huanwu decoction
Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery
A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user's previous buying behavior to recommend new ite…
DNN-Dp
Deep neural network (DNN) learning has witnessed significant applications in various fields, especially for prediction and classification. Frequently, the data used for training are provided by crowdsourcing workers, and the training process may violate their privacy. A qualified prediction model should protect the data privacy in training and classification/prediction phases. To address this issue, we develop a differential privacy (DP)-enabled …
Monitoring and benchmarking government policies and actions to improve the healthiness of food environments
Government action is essential to increase the healthiness of food environments and reduce obesity, diet‐related non‐communicable diseases ( NCD s), and their related inequalities. This paper proposes a monitoring framework to assess government policies and actions for creating healthy food environments. Recommendations from relevant authoritative organizations and expert advisory groups for reducing obesity and NCD s were examined, and pertinent…
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Monitoring and benchmarking government policies and actions to improve the healthiness of food environments
Government action is essential to increase the healthiness of food environments and reduce obesity, diet‐related non‐communicable diseases ( NCD s), and their related inequalities. This paper proposes a monitoring framework to assess government policies and actions for creating healthy food environments. Recommendations from relevant authoritative organizations and expert advisory groups for reducing obesity and NCD s were examined, and pertinent…
DNN-Dp
Deep neural network (DNN) learning has witnessed significant applications in various fields, especially for prediction and classification. Frequently, the data used for training are provided by crowdsourcing workers, and the training process may violate their privacy. A qualified prediction model should protect the data privacy in training and classification/prediction phases. To address this issue, we develop a differential privacy (DP)-enabled …
Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery
A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user's previous buying behavior to recommend new ite…
LASGRec
With the explosion of information, personalized recommender plays a vital role in almost all economic platforms. Usually, the recommender exploits user–item (UI) interactive data to learn users’ latent interests, and then correspondingly conducts recommendations. To address the problem of sparse interactions, graph neural networks (GNNs) have been used to efficiently learn the latent representations of users and items, through structurally modeli…
Alterations of gut microbiota and its correlation with the liver metabolome in the process of ameliorating Parkinson's disease with Buyang Huanwu decoction
The mediating role of body roundness index in the association between dietary inflammatory index and depression
This study firstly identified a mediating role of BRI in the association between DII and depressive symptoms, suggesting that visceral obesity may be an important pathway through which dietary inflammation affects depression. Our findings may provide evidence-based insights to guide targeted interventions to prevent depression at the population level
Association of Life’s Crucial 9 with cognitive function and stroke risk
Higher LC9 scores are associated with better cognitive function and lower odds of stroke. These findings suggest that incorporating mental health metrics, such as depression, into cardiovascular health assessments enhances the predictive power for cognitive outcomes and stroke prevention
Computer Science (4 works) · Internal Medicine (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Data mining (2 works) · Environmental health (2 works) · Machine learning (2 works) · Recommender system (2 works) · Recommender Systems and Techniques (2 works)