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Article
MultiPINN: multi-head enriched physics-informed neural networks for differential equations solving
Recently, the physics-informed neural network (PINN) has attracted much attention in solving partial differential equations (PDEs). The success is due to the strong generalization ability of the neural network...
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Article
Open AccessCausal effects of gut microbiome on HIV infection: a two-sample mendelian randomization analysis
The causal association between gut microbiome and HIV infection remains to be elucidated. We conducted a two-sample mendelian randomization analysis to estimate the causality between gut microbiome and HIV inf...
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Article
Open AccessMononuclear phagocyte system-related multi-omics features yield head and neck squamous cell carcinoma subtypes with distinct overall survival, drug, and immunotherapy responses
Recent research reported that mononuclear phagocyte system (MPS) can contribute to immune defense but the classification of head and neck squamous cell carcinoma (HNSCC) patients based on MPS-related multi-omi...
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Article
Integrating Machine Learning and Mendelian Randomization Determined a Functional Neurotrophin-Related Gene Signature in Patients with Lower-Grade Glioma
Recent researches reported that neurotrophins can promote glioma growth/invasion but the relevant model for predicting patients’ survival in Lower-Grade Gliomas (LGGs) lacked. In this study, we adopted univari...
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Article
A generative adversarial active learning method for mechanical layout generation
Layout generation is frequently encountered in the field of mechanical design. The direct application of generative adversarial network, which was originally used to generate pixel-level images, usually cannot...
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Article
An adaptive and scalable artificial neural network-based model-order-reduction method for large-scale topology optimization designs
Topology optimization (TO) provides a systematic approach for obtaining structure design with optimum performance of interest. However, the process requires the numerical evaluation of the objective function a...
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Article
Semi-supervised node classification via graph learning convolutional neural network
Graph convolutional neural networks (GCNs) have become increasingly popular in recent times due to the emerging graph data in scenes such as social networks and recommendation systems. However, engineering gra...
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Article
Open AccessPrivacy-preserving for assembly deviation prediction in a machine learning model of hydraulic equipment under value chain collaboration
Hydraulic equipment, as a typical mechanical product, has been wildly used in various fields. Accurate acquisition and secure transmission of assembly deviation data are the most critical issues for hydraulic ...
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Article
Open AccessCT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network
At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. After the emergence of artificial intelligence (AI), many radiomics research methods have been applied to the identification ...
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Article
Open AccessProteinuria may be an indicator of adverse pregnancy outcomes in patients with preeclampsia: a retrospective study
Proteinuria is one of the common manifestations of patients with preeclampsia (PE), but whether the severity of proteinuria is related to the pregnancy outcome of patients with preeclampsia remains controversi...
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Article
Hierarchical graph attention networks for semi-supervised node classification
Recently, there has been a promising tendency to generalize convolutional neural networks (CNNs) to graph domain. However, most of the methods cannot obtain adequate global information due to their shallow str...
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Chapter and Conference Paper
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet
Pancreatic cystic neoplasm (PCN) is one of the most common tumors in the digestive tract. It is still a challenging task for doctors to diagnose the types of pancreatic cystic neoplasms by using Computed Tomog...
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Article
5-HTT SS Genotype is Associated with the Pro-nociceptive Sensation by Alcoholic Sting
The purpose of this study was to examine the relationship between the genetic polymorphism in the promoter of the SLC6A4 gene encoding the serotonin transporter (5-HTT) and the sensitivity to noxious stimulati...
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Article
Contact Area Evolution During an Indentation Process
The evolution of the contact area during an indentation process has been examined by an ac technique and also by finite element analysis on five mechanically different materials. Constant contact area regimes ...
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Article
Evolution of the Contact Area During an Indentation Process
The evolution of the contact area during an indentation process has been examined by an a.c. technique and also by finite element analysis on five different bulk materials. The consistency of the results obtai...
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Article
Stick-slip in the scratching of styrene-acrylonitrile copolymer
Stick-slip process occurred during the scratch test of styrene-acrylonitrile copolymer. For the first time, a bamboo-like morphology of the scratch track corresponding to the stick-slip phenomenon was observed...
