Ying Liu

Microplastics deplete soil available nutrients: a global meta-analysis with machine learning reveals critical thresholds and interactive controls.

Yangzhou Xiang, J. Peñuelas, M. Rillig, Xuqiang Luo, Luca Nizzetto, J. Akkanen, et al.

Microplastics (MPs) contamination threatens soil nutrient bioavailability, yet quantitative understanding of effect magnitudes and controlling factors remains fragmented across diverse environmental contexts. Here, we synthesized 206 studies (2853 observations) spanning 12 countr…Read more

Research on attribution and prediction of runoff changes in loess gully areas based on SWAT and machine learning models

Yun Zhao, Enhui Jiang, Bo Qu, Rui Zhang, Chang Liu, Jiaqi Li, et al.

AI-driven multi-omics integration and virtual screening identify UFC1 as a druggable effector in chemotherapy-stressed colorectal cancer

D D Xu, Jun Xu, Ying Liu, Y P Ding, Pingping Xu, D X Zhu

Chemoresistance remains a major obstacle in colorectal cancer (CRC) treatment. In this study, we performed an integrative multi-omics analysis of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, combined with machine learning approaches, to systematicall…Read more

Effect of transcranial direct current stimulation combined with virtual reality on lower-limb function and balance in patients during convalescent stroke recovery

Xinbao Tian, Menglai Hao, Fubao Tian, Ying Liu, Yongyi Yuan, Weidong Jin, et al.

Exercise and cold exposure as dual physiological stressors in MASLD: AMPK-mediated metabolic adaptation and interorgan crosstalk

Shijie Wang, Yuan Gao, Yue Wang, Yi-Xiang Wang, Ying Liu

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become one of the most prevalent chronic liver diseases worldwide. Its disease spectrum can progress from simple hepatic steatosis to metabolic dysfunction-associated steatohepatitis (MASH), liver fibrosis, cirr…Read more

Geographic origin and wheat variety shape microbial and functional profiles of brewing wheat for Daqu fermentation

Hao Tang, Shouhang Zheng, L B Yao, Qin Wang, Ning Yang, Na Luo, et al.

Introduction Wheat is the primary raw material for traditional Baijiu Daqu fermentation, yet its role as a carrier of functional microbiota and its contribution to Daqu quality remain poorly understood. Methods A total of 135 wheat samples representing five geographic regions and…Read more

Conformational dynamics of exopolysaccharides underlie biofilm matrix mechanics in <i>Vibrio cholerae</i>

Kee-Myoung Nam, Nathan Fowler, Rajan Kandel, Yongqi Zhu, Ying Liu, Yi-Jhen Lai, et al.

Polysaccharides remain the least understood biomacromolecules, particularly in terms of the relationship between their chemical structure and physical properties. On the other hand, polysaccharides often serve as the main structural components in biofilms: surface-attached aggreg…Read more

Min-Max Regret Task Allocation and Planning of Heterogeneous Multi-Robot System in Partially Known Environments

Xinkai Liang, Huixuan Chan, Ying Liu, Yangxi Shi, Hao Fang

Efficient task allocation for large-scale Heterogeneous Multi-Robot Systems (HMRS) is critical, yet dealing with complex temporal logic tasks in partially known environment (PKE) remains a computational bottleneck. Existing approaches often struggle to balance exploring uncertain…Read more

PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs

Ying Liu, Yi Ye, Quanyu Feng, Mingxi Ye, Mingtao Zhang, Haoyang Li, et al.

Existing retrieval-augmented generation (RAG) systems treat web pages as flat text, losing the structural and semantic signals encoded in HTML. We present PolyUQuest, a verifiable, structure-aware web RAG framework built on a heterogeneous graph that unifies hyperlink topology be…Read more

Research on Dependency-Aware Service Migration Strategy in the Internet of Vehicles Integrating a Graph Attention Network and Deep Reinforcement Learning

Ying Liu, Zhaofu Liu, Yu Yao

The integration of Mobile Edge Computing and container virtualization technologies provides crucial support for low-latency and highly resilient service deployment in Internet of Vehicles (IoV) applications. However, the high mobility of vehicles poses challenges to service conti…Read more

Research on Multi-Objective Optimization of Clutch Engagement Strategy Based on Deep Reinforcement Learning

Ying Liu, Chengyou Xie, Yongxian Zhang, Cheng Zeng, Yinmin Huang, Tianfu Ai, et al.

The optimization of clutch engagement strategies is of great significance for improving vehicle power performance, fuel economy, and driving comfort. Traditional control strategies are difficult to adapt to complex working conditions and lack coordinated optimization of fuel and…Read more

Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms

Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

Rapid online detection of broken rate can effectively guide maize harvest with minimal damage to prevent kernel fungal damage. The broken rate prediction model based on machine vision and machine learning algorithms is proposed in this manuscript. A new dataset of high moisture c…Read more