Yurong Li

Biographic Data

ID7318590
NAMEYurong Li
GIVEN NAMESYurong
FAMILY NAMELi
SIGNATURELI Y
AFFILIATIONSFuzhou University
ORCID0000-0002-3244-8083
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Agent-First Bias in Children’s Sentence Comprehension

    Open AccessJiawei Shi, Lihui Zhang et al.ARTICLELanguages2026

    The article investigates children’s agent-first bias in sentence comprehension. Agent-first bias refers to the phenomenon in which children (or adults) tend to assign the agent role to the first noun phrase (NP) in a sentence. Previous studies suggest that children acquiring Indo-European languages like English exhibit the agent-first bias from early on, while children acquiring other languages may do so only during later stages of language devel…

  • Five-year trends in overweight and obesity among preschool children before and during the Covid-19 period

    Open AccessPeiling Cai, Tao Deng et al.ARTICLEFrontiers in Public Health2026

    Background COVID-19-related school closures and subsequent control measures may have altered children’s daily routines and contributed to changes in weight status. However, evidence on sex-specific and age-specific patterns of overweight and obesity among preschool children across both pre-pandemic and COVID-19 periods remains limited. This study aimed to examine five-year trends in overweight and obesity among preschool children in Southwest Chi…

  • Analysis on spatiotemporal heterogeneity and impact mechanism of carbon sink in Qinling Mountains based on leaf area index

    Open AccessChang Liu, Xing Huang et al.ARTICLETrees Forests and People2025

    Accurately understanding the driving mechanisms of ecosystem carbon sinks in climate-sensitive regions is crucial for achieving carbon neutrality goals. Using the Qinling Mountains as a case study, this research aims to deconstruct the complex effects of environmental factors on carbon sinks, quantified in this study as Net Ecosystem Productivity (NEP), and assess the central mediating role of the Leaf Area Index (LAI). By integrating multi-sourc…

  • Construction of an MFC Anaerobic-Aerobic Coupled Denitrification System and Its Performance Enhancement Method

    Bo Dong, Yurong Li et al.ARTICLENew Materialisms2022

    Compared with a microbial fuel cell (MFC) of single flora, the MFC of mixed flora provide much better denitrification and electricity generation performance. Therefore, in-depth analysis of the kinetic features such as the structures of various types of microflora in MFCs is of important theoretical and practical significance. There is little existing research on the electricity generation and pollutant removal process of cathode microorganisms a…

  • Discovery of bakuchiol as an AIM2 inflammasome activator and cause of hepatotoxicity

    Open AccessTingting Liu, Guang Xu et al.ARTICLEJournal of Ethnopharmacology2022

  • Donkey pronouns in child Mandarin

    Open AccessYurong Li, Peng Zhou et al.ARTICLEGlossa a journal of general…2021

    Donkey pronouns and plural definites show similarities in their semantic interpretation. The parallels between the two elements seem to suggest a unified analysis. Studies of children’s understanding of plural definites show that children initially interpret plural definites existentially rather than universally. The findings invite us to ask whether children also exhibit a preference for interpreting donkey pronouns existentially. Two experiment…

  • Auxiliary Diagnostic Method for Patellofemoral Pain Syndrome Based on One-Dimensional Convolutional Neural Network

    Open AccessWuxiang Shi, Yurong Li et al.ARTICLEFrontiers in Public Health2021

    Early accurate diagnosis of patellofemoral pain syndrome (PFPS) is important to prevent the further development of the disease. However, traditional diagnostic methods for PFPS mostly rely on the subjective experience of doctors and subjective feelings of the patient, which do not have an accurate-unified standard, and the clinical accuracy is not high. With the development of artificial intelligence technology, artificial neural networks are inc…

  • Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation

    Open AccessWuxiang Shi, Yurong Li et al.ARTICLEFrontiers in Public Health2021

    Patellofemoral pain syndrome (PFPS) is a common disease of the knee. Despite its high incidence rate, its specific cause remains unclear. The artificial neural network model can be used for computer-aided diagnosis. Traditional diagnostic methods usually only consider a single factor. However, PFPS involves different biomechanical characteristics of the lower limbs. Thus, multiple biomechanical characteristics must be considered in the neural net…

  • Gaussian Process Autoregression for Joint Angle Prediction Based on sEMG Signals

    Open AccessJie Liang, Zhengyi Shi et al.ARTICLEFrontiers in Public Health2021

    There is uncertainty in the neuromusculoskeletal system, and deterministic models cannot describe this significant presence of uncertainty, affecting the accuracy of model predictions. In this paper, a knee joint angle prediction model based on surface electromyography (sEMG) signals is proposed. To address the instability of EMG signals and the uncertainty of the neuromusculoskeletal system, a non-parametric probabilistic model is developed usin…