Liang Du
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View article: Pediatric metabolic dysfunction-associated steatotic liver disease and the gut microbiome: from research landscape to targeted modulation
Pediatric metabolic dysfunction-associated steatotic liver disease and the gut microbiome: from research landscape to targeted modulation Open
Metabolic dysfunction-associated steatotic liver disease (MASLD), formally known as non-alcoholic fatty liver disease, has become the most common form of chronic liver disease in children. The spectrum of pediatric MASLD ranges from simple…
View article: Correction: Evaluation of a novel chemiluminescent immunoassay for autoantibody detection in pemphigus and bullous pemphigoid
Correction: Evaluation of a novel chemiluminescent immunoassay for autoantibody detection in pemphigus and bullous pemphigoid Open
[This corrects the article DOI: 10.3389/fimmu.2025.1576635.].
View article: Natural variation in <i>PtobZIP18</i> confers the trade‐off between stem growth and drought tolerance in <i>Populus</i>
Natural variation in <i>PtobZIP18</i> confers the trade‐off between stem growth and drought tolerance in <i>Populus</i> Open
Summary Maintaining the balance between growth and drought tolerance is arguably one of the most prevalent challenges encountered by woody plants. In this study, we performed genome‐wide association studies (GWAS) of percentage loss of dia…
View article: Evaluation of a novel chemiluminescent immunoassay for autoantibody detection in pemphigus and bullous pemphigoid
Evaluation of a novel chemiluminescent immunoassay for autoantibody detection in pemphigus and bullous pemphigoid Open
Background A novel fully automated chemiluminescent immunoassay (CLIA) has been developed to quantify autoantibodies specific for desmogleins (Dsg1, Dsg3), BP180, and BP230, key target antigens in pemphigus and bullous pemphigoid. This stu…
View article: Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification
Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification Open
In conclusion, we present a more accurate and explanatory framework for proteomics data analysis, supporting future approaches that prioritize individualized disease risk prediction, and identification of target genes for drug development.
View article: Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization
Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization Open
Multi-view clustering (MVC) aims to integrate complementary information from multiple views to enhance clustering performance. Late Fusion Multi-View Clustering (LFMVC) has shown promise by synthesizing diverse clustering results into a un…
View article: Spectral Similarity Masks Structural Diversity at Hydrophobic Water Interfaces
Spectral Similarity Masks Structural Diversity at Hydrophobic Water Interfaces Open
The air-water and graphene-water interfaces represent quintessential examples of the liquid-gas and liquid-solid boundaries, respectively. While the sum-frequency generation (SFG) spectra of these interfaces exhibit certain similarities, a…
View article: Emotional intelligence and biological perception: A new approach to mental health ideological and political education
Emotional intelligence and biological perception: A new approach to mental health ideological and political education Open
In recent years, the combination of emotional intelligence (EI) and biological perception has emerged as a significant strategy in mental health, notably in ideological and political education. EI, which involves understanding and managing…
View article: Predictors of para-aortic lymph node metastasis based on pathological diagnosis via surgical staging in patients with locally advanced cervical cancer: A multicenter study
Predictors of para-aortic lymph node metastasis based on pathological diagnosis via surgical staging in patients with locally advanced cervical cancer: A multicenter study Open
Para-aortic lymph node (PALN) metastasis of patients with locally advanced cervical cancer (LACC) is associated with multiple risk factors. This study aimed to identify risk factors and develop a predictive model for PALN metastasis based …
View article: Computational analysis of heat transfer and fluid flow characteristics in a diamond microchannel heat sink with orthogonal ribs
Computational analysis of heat transfer and fluid flow characteristics in a diamond microchannel heat sink with orthogonal ribs Open
As electronic devices advance toward higher power densities and increased miniaturization, the resulting rise in heat flux presents significant challenges to their performance, reliability, operational lifespan, and energy efficiency. Effe…
View article: Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion
Sharper Error Bounds in Late Fusion Multi-view Clustering Using Eigenvalue Proportion Open
Multi-view clustering (MVC) aims to integrate complementary information from multiple views to enhance clustering performance. Late Fusion Multi-View Clustering (LFMVC) has shown promise by synthesizing diverse clustering results into a un…
View article: Fragility in cardiovascular randomized controlled trials with primary continuous outcomes (2018–2022) from multi-perspectives assessment: a cross-sectional survey
Fragility in cardiovascular randomized controlled trials with primary continuous outcomes (2018–2022) from multi-perspectives assessment: a cross-sectional survey Open
This study aims to assess the robustness of cardiovascular disease randomized controlled trials (RCTs) with primary continuous outcomes from a clinical perspective, utilizing the concepts of continuous fragility index (CFI), reverse contin…
View article: Trends and determinants of nurses’ mental health following the COVID-19 pandemic in China: a longitudinal, comparative study over a two-year period
Trends and determinants of nurses’ mental health following the COVID-19 pandemic in China: a longitudinal, comparative study over a two-year period Open
Introduction The COVID-19 pandemic has placed nurses at the forefront of healthcare, exposing them to various mental health challenges such as depression, anxiety, and post-traumatic stress disorder (PTSD). However the long-term effects an…
View article: Impact of selective reporting bias on stroke trials: potential compromise in evidence synthesis - A cross-sectional study
Impact of selective reporting bias on stroke trials: potential compromise in evidence synthesis - A cross-sectional study Open
Registered interventional AIS RCTs still face significant issues regarding selective reporting of outcomes. Therefore, it is necessary to further evaluate the influence of selective reporting bias on the positive results obtained from indi…
View article: Core outcome set for clinical trials of stent implantation in coronary heart disease -- a systematic review and mixed-method consensus study
Core outcome set for clinical trials of stent implantation in coronary heart disease -- a systematic review and mixed-method consensus study Open
Background Although various types of stent interventions have been found in clinical trials to be effective in treating coronary heart disease, researchers often use heterogeneous outcome measures. This can preclude the comparison of resul…
View article: Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review
Discrepancies between self-reported medication in adherence and indirect measurement adherence among patients undergoing antiretroviral therapy: a systematic review Open
Background Given the critical importance of medication adherence in HIV/AIDS treatment, this study aims to compare medication adherence measured by self-report (SR) and indirect measurement among antiretroviral therapy (ART) patients, expl…
View article: Supervisory Prompt Training
Supervisory Prompt Training Open
The performance of Large Language Models (LLMs) relies heavily on the quality of prompts, which are often manually engineered and task-specific, making them costly and non-scalable. We propose a novel approach, Supervisory Prompt Training …
View article: Assessing the application of barbed sutures in comparison to conventional sutures for surgical applications: a global systematic review and meta-analysis of preclinical animal studies
Assessing the application of barbed sutures in comparison to conventional sutures for surgical applications: a global systematic review and meta-analysis of preclinical animal studies Open
Background: Following an initiative published by Lancet in 2002 and an IDEAL-D framework, the value of preclinical animal studies has garnered increasing attention in recent research. Numerous preclinical animal experiments tried to genera…
View article: Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification
Interpretable Machine Learning Leverages Proteomics to Improve Cardiovascular Disease Risk Prediction and Biomarker Identification Open
Cardiovascular diseases (CVD), primarily coronary heart disease and stroke, rank amongst the leading causes of long-term disability and mortality. Providing accurate disease risk predictions and identifying genes associated with CVD are cr…