Yi-Xiang Wang

IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Yin Xu, Zhengchao Luo, Kai He, Feifan Zhang, Yawei Zhang, Yi-Xiang Wang, et al.

A Leaf Area Index dataset retrieved by benchmark-driven machine learning framework from Chinese Fengyun-3B VIRR data

Jiakai You, Yinghui Zhang, Yonghong Liu, Z Y Hu, Yi-Xiang Wang, Guofeng Wu

Association between KCNC1 gene polymorphisms and interindividual variability in aerobic capacity following high-intensity interval training

Yan Liu, Yi-Xiang Wang, Junren Lai, Liu W, Duoqi Zhou

Objective To explore the association between single nucleotide polymorphisms (SNPs) of the potassium voltage-gated channel subfamily C member 1 ( KCNC1 ) gene and the improvement of aerobic capacity after high-intensity interval training (HIIT), and to screen potential genetic ma…Read more

An enhanced methodological framework for objective assessment of regional land subsidence risks: a case study in Cangzhou city, China

Bo Liu, Yi-Xiang Wang, Shinong Li, Weiwei Li, Erjun Yu, Wenhui Cui, et al.

Regional land subsidence risk assessment is often constrained by low-resolution contour-based continuous data and subjective empirical grading, which may weaken the objectivity and spatial detail of evaluation results. To address this limitation, this study establishes an enhance…Read more

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

Household electricity consumption in Harbin: a motivation-environment-behavior framework with a residential functional spatial accessibility index

Yi-Xiang Wang

Residential electricity consumption varies across urban neighborhoods, but existing forecasting models often provide limited explanation for these spatial differences. This study proposes a Motivation-Environment-Behavior framework to organize the analysis of household electricit…Read more

Host inflammatory markers and MLVA profiling for risk assessment of severe pediatric Mycoplasma pneumoniae pneumonia

Huan Xu, Jingmin Zhang, Shujuan Jiang, J H Xu, Xiaoqian Huang, Shuning Sun, et al.

Background Mycoplasma pneumoniae (MP) is a leading cause of community-acquired pneumonia in children (CAP). Rising macrolide resistance and variability in clinical severity have become growing concerns. This study aimed to describe the molecular epidemiology, resistance patterns,…Read more

Outcomes of high-compliance bracing in patients with severe adolescent idiopathic scoliosis declining operative intervention

Dingqi You, Xingyu Duan, W W Guo, Zhenxing Hou, Yi-Xiang Wang, Weichao Sheng, et al.

Background Surgery is typically recommended for patients with severe adolescent idiopathic scoliosis (AIS); however, some patients explicitly refuse due to concerns about surgical risks and other factors. Conventional wisdom suggests that bracing has limited effectiveness for sev…Read more

Multi-Modal Ultrasound-Based Prognostic Model for Diffuse Large B-Cell Lymphoma with Predominantly Superficial Lymph Node Involvement

Yi-Xiang Wang, J L Mu, Yichen Yang, X C Meng, Yuting Song

Objective: This study aimed to develop a multi-modal ultrasound-based model integrating radiomics, deep learning, and clinical features to predict progression-free survival (PFS) in diffuse large B-cell lymphoma (DLBCL) with superficial lymph node involvement. Methods: A total of…Read more

Risk prediction for long-term cardiovascular events in patients with concurrent hypertension, HFpEF, and unstable angina: a multicenter machine learning-assisted cohort study

Long Tang, Xiaomeng Yang, Zongchao Zuo, Jiajun Zhu, Wenyuan Yin, Bowen Zhou, et al.

Background Patients with concurrent hypertension, heart failure with preserved ejection fraction (HFpEF), and unstable angina pectoris (UAP) represent a high-risk population with heterogeneous long-term cardiovascular outcomes. However, practical tools for individualized risk str…Read more

Unlocking Sustainable Value: The Dual Pathways from Digital Innovation to Corporate ESG Performance

Yi-Xiang Wang, Wenyuan Lv, Y F

Against the backdrop of the dual convergence of the digital economy and sustainable development strategies, digital innovation has emerged as a pivotal driver for reshaping firms’ competitive advantages and fulfilling social responsibilities. In this study, the analysis draws on…Read more

CT imaging-based radiomics and deep learning models for predicting chemotherapy response in advanced pancreatic cancer

Zhu Y, H J Zhou, Peng An, Yingfan Mao, Ziwei Nie, Yi-Xiang Wang, et al.

To investigate the value of radiomics and deep learning features derived from pre-treatment CT imaging in predicting the efficacy of chemotherapy in patients with advanced pancreatic cancer. The retrospective study included 207 patients with advanced pancreatic cancer from two me…Read more

Linking physical environment in physical education classes and adolescents' life skills: evidence from Chinese secondary schools

Yi-Xiang Wang, Lan PANG, Wenhao Xue, X C Xie, Rong Fan

Background Adolescents' life skills(LS) development has become increasingly important in China's ongoing education reform, but the associations between the physical environment of physical education classes (PEOPEC), physical education class learning engagement (PECLE), and LS re…Read more

Transfer learning-based SOH estimation from partial charging data with polarization-aware modeling

Yuxia Li, Yuanyuan Gao, Xianbao Wang, C Wang, Zi Wang, Chuxiong Wu, et al.

Accurate state-of-health (SOH) estimation from incomplete charging data remains difficult when batteries are operated under variable charging protocols and when the prior polarization history is unknown. Many existing data-driven methods either rely on handcrafted health indicato…Read more

Data-driven design of disordered structures for direction- and geometry-independent stretchable electrodes

Mengli Li, LinHan Fan, Yilei Fu, Yihe Yue, Xinyu Chen, Yi-Xiang Wang, et al.

Stretchable electrodes with strain-insensitive performance across arbitrary directions and geometries are essential for next-generation customizable wearable electronics. However, conventional designs based on ordered structures such as serpentines, kirigami, and island-bridge ge…Read more