Yanchun Liang
YOU?
Author Swipe
View article: Discovery of the late autophagy inhibitor FZU‑0045‑053 and its anti‑breast cancer and immunomodulatory effects
Discovery of the late autophagy inhibitor FZU‑0045‑053 and its anti‑breast cancer and immunomodulatory effects Open
Breast cancer is characterized by notable heterogeneity and remains one of the leading causes of cancer‑related death among women. Autophagy, a process by which cells use lysosomes to degrade cytoplasmic proteins and damaged organelles, is…
View article: Primary Human Tissue Models for Metabolic Dysfunction‐Associated Liver Disease ‐ toward Streamlining Drug Discovery with Patient‐Derived Assays
Primary Human Tissue Models for Metabolic Dysfunction‐Associated Liver Disease ‐ toward Streamlining Drug Discovery with Patient‐Derived Assays Open
Metabolic dysfunction‐associated steatotic liver disease (MASLD) and its progressive form metabolic dysfunction‐associated steatohepatitis (MASH) are prevalent chronic liver diseases that are closely linked to metabolic syndrome, type 2 di…
View article: Integrating Big Data Analytics With the Balanced Scorecard to Enhance Enterprise Performance
Integrating Big Data Analytics With the Balanced Scorecard to Enhance Enterprise Performance Open
This study explores the strategic integration of big data analytics and the Balanced Scorecard (BSC) framework to optimize enterprise performance across financial and non-financial dimensions. By combining the Decision-Making Trial and Eva…
View article: MSBN-SPose: A Multi-Scale Bayesian Neuro-Symbolic Approach for Sitting Posture Recognition
MSBN-SPose: A Multi-Scale Bayesian Neuro-Symbolic Approach for Sitting Posture Recognition Open
Posture recognition is critical in modern educational and office environments for preventing musculoskeletal disorders and maintaining cognitive performance. Existing methods based on human keypoint detection typically rely on convolutiona…
View article: Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Open
View article: MOGAD: Integrated Multi-Omics and Graph Attention for the Discovery of Alzheimer’s Disease’s Biomarkers
MOGAD: Integrated Multi-Omics and Graph Attention for the Discovery of Alzheimer’s Disease’s Biomarkers Open
The selection of appropriate biomarkers in clinical practice aids in the early detection, treatment, and prevention of disease while also assisting in the development of targeted therapeutics. Recently, multi-omics data generated from adva…
View article: Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images Automatically
Defining Keypoints to Align H&E Images and Xenium DAPI-Stained Images Automatically Open
10X Xenium is an in situ spatial transcriptomics platform that enables single-cell and subcellular-level gene expression analysis. In Xenium data analysis, defining matched keypoints to align H&E and spatial transcriptomic images is critic…
View article: Troublemaker Learning for Low-Light Image Enhancement
Troublemaker Learning for Low-Light Image Enhancement Open
View article: Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Open
To address the weight coupling problem, certain studies introduced few-shot Neural Architecture Search (NAS) methods, which partition the supernet into multiple sub-supernets. However, these methods often suffer from computational ineffici…
View article: Organoids and Organ-On-Chip Models for COVID-19 Research and Its Application in Modernization of Traditional Chinese Medicine: Opportunities and Challenges
Organoids and Organ-On-Chip Models for COVID-19 Research and Its Application in Modernization of Traditional Chinese Medicine: Opportunities and Challenges Open
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), not only affects the lungs but also damages various non-pulmonary organs, resulting in tissue injury and potential long-term seque…
View article: Explainable hybrid transformer for multi-classification of lung disease using chest X-rays
Explainable hybrid transformer for multi-classification of lung disease using chest X-rays Open
Lung disease is an infection that causes chronic inflammation of the human lung cells, which is one of the major causes of death around the world. Thoracic X-ray medical image is a well-known cheap screening approach used for lung disease …
View article: GraphPhos: Predict Protein-Phosphorylation Sites Based on Graph Neural Networks
GraphPhos: Predict Protein-Phosphorylation Sites Based on Graph Neural Networks Open
Phosphorylation is one of the most common protein post-translational modifications. The identification of phosphorylation sites serves as the cornerstone for protein-phosphorylation-related research. This paper proposes a protein-phosphory…
View article: A Dual Carbon Reward Mechanism for Electric Vehicle Charging Scheduling Based on Multi-Level Stackelberg Game
A Dual Carbon Reward Mechanism for Electric Vehicle Charging Scheduling Based on Multi-Level Stackelberg Game Open
View article: An Empirical Research on the Relationship between Loneliness and GAI Usage Habits of College Students
An Empirical Research on the Relationship between Loneliness and GAI Usage Habits of College Students Open
View article: MPIFNet: A Multi-Path Information Fusion Fault Diagnosis Network Based on Time Series Two-Dimensional Transformation
MPIFNet: A Multi-Path Information Fusion Fault Diagnosis Network Based on Time Series Two-Dimensional Transformation Open
Vibration signal analysis, which aims to monitor and assess the operational status of mechanical systems in real time, has proven to be an effective method for fault diagnosis. As a crucial component of hoisting equipment, the identificati…
View article: Kinetic Analysis of Fractional Viscoelastic Films Based on Shifting Legendre Polynomials
Kinetic Analysis of Fractional Viscoelastic Films Based on Shifting Legendre Polynomials Open
In this paper, the variable fractional derivative model was used to simulate the structure of viscoelastic polyethylene terephthalate (PET) films. the shift Legendre polynomial algorithm is used to directly solve the equation of motion in …
View article: Typhoon Trajectory Prediction by Three CNN+ Deep-Learning Approaches
Typhoon Trajectory Prediction by Three CNN+ Deep-Learning Approaches Open
The accuracy in predicting the typhoon track can be key to minimizing their frequent disastrous effects. This article aims to study the accuracy of typhoon trajectory prediction obtained by combining several algorithms based on current dee…
View article: The Relationship between Cardiomyocyte Action Potentials and Ion Concentrations: Machine Learning Prediction Modeling and Analysis of Spontaneous Spiral Wave Generation Mechanisms
The Relationship between Cardiomyocyte Action Potentials and Ion Concentrations: Machine Learning Prediction Modeling and Analysis of Spontaneous Spiral Wave Generation Mechanisms Open
The changes in cardiomyocyte action potentials are related to variations in intra- and extracellular ion concentrations. Abnormal ion concentrations can lead to irregular action potentials, subsequently affecting wave propagation in myocar…
View article: An Improved Multi-Chaotic Public Key Algorithm Based on Chebyshev Polynomials
An Improved Multi-Chaotic Public Key Algorithm Based on Chebyshev Polynomials Open
Due to the similar characteristics of chaotic systems and cryptography, public key encryption algorithms based on chaotic systems are worth in-depth research and have high value for the future. Chebyshev polynomials have good properties an…
View article: Improved Pose Estimation Network Based on Spatial Registration Model
Improved Pose Estimation Network Based on Spatial Registration Model Open
Position and attitude estimation refer to estimating the distance and attitude between the object to be measured and the sensor device from the input information captured by the sensor device. The traditional computer vision processing met…
View article: AEAED: Attention-Enhanced Autoencoder for Adversarial Example Detection with Multi-Scale Feature Learning
AEAED: Attention-Enhanced Autoencoder for Adversarial Example Detection with Multi-Scale Feature Learning Open
Deep learning models face significant security threats from adversarial attacks, which can mislead model predictions by introducing subtle perturbations to input images. Existing adversarial example detection methods often suffer from limi…
View article: 2E-Net: Unet-like Double Encoder for Medical Image Segmentation
2E-Net: Unet-like Double Encoder for Medical Image Segmentation Open
As an important branch in the field of medical image segmentation, abdominal multi-organ segmentation plays a crucial role in disease diagnosis and treatment supervision. Through long-term research in the field of medical image segmentatio…
View article: Terminal sequence consistency verification method for small diameter abreast optical fibers based on computer vision
Terminal sequence consistency verification method for small diameter abreast optical fibers based on computer vision Open
View article: Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training Open
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies have attempted to combine meta-learning with graph neural netw…
View article: Drug–Target Interaction Prediction Based on an Interactive Inference Network
Drug–Target Interaction Prediction Based on an Interactive Inference Network Open
Drug–target interactions underlie the actions of chemical substances in medicine. Moreover, drug repurposing can expand use profiles while reducing costs and development time by exploiting potential multi-functional pharmacological propert…
View article: MCL_NET: Multi-Scale Collaborative Learning Network for Pellet Facies Microstructure Image Segmentation
MCL_NET: Multi-Scale Collaborative Learning Network for Pellet Facies Microstructure Image Segmentation Open
The segmentation model based on traditional convolution focuses more on local features during training, while Transformers excel in long-range modeling tasks but lack direct advantages in short-range feature analysis. To achieve fine-grain…
View article: Impact of Combined Modulation of Two Potassium Ion Currents on Spiral Waves and Turbulent States in the Heart
Impact of Combined Modulation of Two Potassium Ion Currents on Spiral Waves and Turbulent States in the Heart Open
In the realm of cardiac research, the control of spiral waves and turbulent states has been a persistent focus for scholars. Among various avenues of investigation, the modulation of ion currents represents a crucial direction. It has been…
View article: Acupuncture and tuina knowledge graph with prompt learning
Acupuncture and tuina knowledge graph with prompt learning Open
Introduction Acupuncture and tuina, acknowledged as ancient and highly efficacious therapeutic modalities within the domain of Traditional Chinese Medicine (TCM), have provided pragmatic treatment pathways for numerous patients. To address…
View article: MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention
MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention Open
Identifying drug-target interactions (DTIs) holds significant importance in drug discovery and development, playing a crucial role in various areas such as virtual screening, drug repurposing and identification of potential drug side effec…
View article: Table of Contents
Table of Contents Open