Wenmin Wang
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View article: A Dual-Discriminator GAN and Point-Cloud Based Model for 3D Facial Appearance Prediction After Edentulous Implant Rehabilitation
A Dual-Discriminator GAN and Point-Cloud Based Model for 3D Facial Appearance Prediction After Edentulous Implant Rehabilitation Open
Background Loss of all natural teeth leads to the disappearance of dental and alveolar support, causing collapse of the mid- and lower-facial soft tissues, deepening of nasolabial folds, drooping of the oral commissures, and shortening of …
View article: Treeformer: Deep Tree-Based Model with Two-Dimensional Information Enhancement for Multivariate Time Series Forecasting
Treeformer: Deep Tree-Based Model with Two-Dimensional Information Enhancement for Multivariate Time Series Forecasting Open
Driven by real-world demands of processing massive high-frequency data and achieving longer forecasting horizons in time series forecasting scenarios, a variety of deep learning architectures designed for time series forecasting have emerg…
View article: Blurred Lesion Image Segmentation via an Adaptive Scale Thresholding Network
Blurred Lesion Image Segmentation via an Adaptive Scale Thresholding Network Open
Medical image segmentation is crucial for disease diagnosis, as precise results aid clinicians in locating lesion regions. However, lesions often have blurred boundaries and complex shapes, challenging traditional methods in capturing clea…
View article: Multimodal Sensitive Adaptive Transformer for 3D medical image segmentation
Multimodal Sensitive Adaptive Transformer for 3D medical image segmentation Open
View article: Dynamic Short Hydrogen‐Bonding Network Enhancing Hydrophilicity in Biomimetic Membranes with Artificial Water Channels for Efficient Removal of Dyes and Salts
Dynamic Short Hydrogen‐Bonding Network Enhancing Hydrophilicity in Biomimetic Membranes with Artificial Water Channels for Efficient Removal of Dyes and Salts Open
The development of an integrated biomimetic membrane capable of rejecting both dyes and salts in a single step, while sustaining stable water permeation, presents a promising solution for textile wastewater treatment. Herein, we report a n…
View article: Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Within Port Clusters
Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Within Port Clusters Open
The imbalance between supply and demand for slot resources and empty containers has led to resource waste and excessive operating costs for liner companies. Moreover, intense competition among ports has made both container ship slots and p…
View article: QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction
QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction Open
View article: ABCA1 promote tumor environment heterogeneity via epithelial mesenchymal transition in Huh7 and HepG2 liver cancer cell
ABCA1 promote tumor environment heterogeneity via epithelial mesenchymal transition in Huh7 and HepG2 liver cancer cell Open
In this study, we delve into the intrinsic mechanisms of cell communication in hepatocellular carcinoma (HCC). Initially, employing single-cell sequencing, we analyze multiple malignant cell subpopulations and cancer-associated fibroblast …
View article: Network pharmacology and experimental verification reveal the mechanism of Qingfei Tongluo mixture in treating pulmonary fibrosis
Network pharmacology and experimental verification reveal the mechanism of Qingfei Tongluo mixture in treating pulmonary fibrosis Open
Background: Pulmonary fibrosis (PF) is a chronic interstitial lung disease posing significant health risks. This study aimed to investigate the therapeutic mechanism of Qingfei Tongluo mixture (QTm) in treating PF by combining network phar…
View article: Extreme R-CNN: Few-Shot Object Detection via Sample Synthesis and Knowledge Distillation
Extreme R-CNN: Few-Shot Object Detection via Sample Synthesis and Knowledge Distillation Open
Traditional object detectors require extensive instance-level annotations for training. Conversely, few-shot object detectors, which are generally fine-tuned using limited data from unknown classes, tend to show biases toward base categori…
View article: Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Based on Online Booking Platform
Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Based on Online Booking Platform Open
The shipping market is unpredictable and volatile due to some uncontrollable factors such as epidemic, conflicts and natural disasters. There is always an imperfect match between the supply capacity of liner companies and the actual demand…
View article: Subtyping colorectal cancer based on septic shock-associated genes: prognosis and immune characteristics
Subtyping colorectal cancer based on septic shock-associated genes: prognosis and immune characteristics Open
Background Sepsis and colorectal cancer (CRC) are leading causes of death. Given their mutual dependence for susceptibility, we used bioinformatics to explore potential connections between septic shock (SS) and CRC. Methods We identified 4…
View article: Identification of TXN and F5 as novel diagnostic gene biomarkers of the severe asthma based on bioinformatics and machine learning analysis
Identification of TXN and F5 as novel diagnostic gene biomarkers of the severe asthma based on bioinformatics and machine learning analysis Open
Asthma poses a major threat to human health. The aim of this study was to identify genetic markers of severe asthma and analyze the relationship between key genes and immune infiltration. Differentially expressed genes (DEGs) were first sc…
View article: A neurosurgical nursing training system based on 3D printing models: practice and exploration of precision medicine
A neurosurgical nursing training system based on 3D printing models: practice and exploration of precision medicine Open
The nursing training system based on 3D printing models can enhance the learning efficiency and nursing work satisfaction of nursing personnel. It may have a positive impact on the professional values of nursing personnel, thereby laying a…
View article: Machine learning–based predictive model for post-stroke dementia
Machine learning–based predictive model for post-stroke dementia Open
Our findings suggest that ML models, especially extreme gradient boosting, can best predict the risk of PSD.
View article: Huperzine A targets Apolipoprotein E: A potential therapeutic drug for diabetic nephropathy based on omics analysis
Huperzine A targets Apolipoprotein E: A potential therapeutic drug for diabetic nephropathy based on omics analysis Open
Collectively, we provide the first evidence of the therapeutic effect of Hup A on DN, indicating that Hup A is a potential drug for the prevention and treatment of DN.
View article: Assessing the impact of temperature on acute exacerbation of chronic obstructive pulmonary disease hospitalizations in residents of Panzhihua City: a multi-districts study using a distributed lag non-linear model
Assessing the impact of temperature on acute exacerbation of chronic obstructive pulmonary disease hospitalizations in residents of Panzhihua City: a multi-districts study using a distributed lag non-linear model Open
View article: Causal relationship between multiple sclerosis and primary Sjögren’s syndrome: a two-sample mendelian randomization study
Causal relationship between multiple sclerosis and primary Sjögren’s syndrome: a two-sample mendelian randomization study Open
This study aims to investigate the causal relationship between primary Sjögren’s syndrome (SS) and multiple sclerosis (MS) using a two-sample Mendelian randomization (MR) analysis to provide insights into their common mechanisms and implic…
View article: Deep Time Series Forecasting Models: A Comprehensive Survey
Deep Time Series Forecasting Models: A Comprehensive Survey Open
Deep learning, a crucial technique for achieving artificial intelligence (AI), has been successfully applied in many fields. The gradual application of the latest architectures of deep learning in the field of time series forecasting (TSF)…
View article: Machine Learning–Based Predictive Model for Post-Stroke Dementia
Machine Learning–Based Predictive Model for Post-Stroke Dementia Open
Backgound: Post-stroke dementia (PSD), a common complication, diminishes rehabilitation efficacy and affects disease prognosis in stroke patients. Many factors may be related to PSD, including demographic, comorbidities, and examination ch…
View article: Prospects of antidiabetic drugs in the treatment of neurodegenerative disease
Prospects of antidiabetic drugs in the treatment of neurodegenerative disease Open
Neurodegenerative diseases (NDs) stand for a group of disorders characterized by the progressive loss of neurons in the brain and peripheral organs, resulting in motor and cognitive dysfunction. The global prevalence of NDs, including Alzh…
View article: Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN
Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN Open
The purpose of this paper is to leverage the advantages of physics-informed neural network (PINN) and convolutional neural network (CNN) by using Legendre multiwavelets (LMWs) as basis functions to approximate partial differential equation…
View article: Body fluids biomarkers associated with prognosis of acute ischemic stroke: progress and prospects
Body fluids biomarkers associated with prognosis of acute ischemic stroke: progress and prospects Open
Acute ischemic stroke (AIS) is one of the most common strokes posing a grave threat to human life and health. Predicting the prognosis of AIS allows for an understanding of disease progress, and a better quality of life by making individua…
View article: Identification of novel potential drugs for the treatment and prevention of osteoarthritis
Identification of novel potential drugs for the treatment and prevention of osteoarthritis Open
Reducing exposure to TCDD could be a crucial strategy in preventing OA, and VPA has gained recognition as a novel drug candidate for OA treatment.
View article: Recovery-Based Occluded Face Recognition by Identity-Guided Inpainting
Recovery-Based Occluded Face Recognition by Identity-Guided Inpainting Open
Occlusion in facial photos poses a significant challenge for machine detection and recognition. Consequently, occluded face recognition for camera-captured images has emerged as a prominent and widely discussed topic in computer vision. Th…
View article: Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments
Convolution Self-Guided Transformer for Diagnosis and Recognition of Crop Disease in Different Environments Open
Accurately diagnosing crop diseases is crucial for agricultural productivity and food safety. This study addresses the challenge by developing an AI crop disease diagnosis platform, leveraging the strengths of Convolution Neural Networks (…
View article: A machine learning protocol for geometric information retrieval from molecular spectra
A machine learning protocol for geometric information retrieval from molecular spectra Open
Geometric information of molecules is closely related to their properties, and vibrational spectroscopy, as a common and powerful analytical tool for determining molecular structure, can assist in gaining precise geometric information. Tra…
View article: Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN
Approximating Partial Differential Equations with Physics-Informed Legendre Multiwavelets CNN Open
Partial differential equations (PDEs) are used to describe a wide range of phenomena, such
as heat transfer, fluid dynamics, and quantum mechanics. By solving PDEs, we can ob-
tain insights into the behavior of the system and make predict…
View article: The association between circulating Hcy and Lp-PLA2 levels and poststroke depression: A meta-analysis
The association between circulating Hcy and Lp-PLA2 levels and poststroke depression: A meta-analysis Open
Objective: To analyze the correlation between circulating homocysteine (Hcy) and lipoprotein-associated phospholipase A2 (Lp-PLA2) levels and poststroke depression (PSD). Materials and methods: Chinese (Chinese National Knowledge Infrastru…
View article: Bimodality Cross Concatenation and Fusion for Audio-visual Event Localization
Bimodality Cross Concatenation and Fusion for Audio-visual Event Localization Open
Audio-visual event localization (AVEL) is a task that utilizes audio and visual features in videos to perceive the correlation between audio and video and the type of event. Previous methods have mostly focused on aligning the two features…