Zheng Pei
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Author Swipe
View article: Framework-Aware Code Generation with API Knowledge Graph-Constructed Data: A Study on HarmonyOS
Framework-Aware Code Generation with API Knowledge Graph-Constructed Data: A Study on HarmonyOS Open
In the context of software frameworks with limited resources (such as HarmonyOS), large language models (LLMs) often exhibit poor code generation performance because they lack sufficient exposure to such environments during pre-training. A…
View article: Patients with lower BMI are more likely to experience shoulder pain after single port laparoscopic myomectomy
Patients with lower BMI are more likely to experience shoulder pain after single port laparoscopic myomectomy Open
Objective The aim of this study is to evaluate the incidence of shoulder pain after single port transumbilical laparoscopic myomectomy and analyze patient and operative specific factors associated with post-laparoscopy shoulder pain (PLSP)…
View article: Health literacy and nutritional self-efficacy in older adults: the chain- mediating role of perceived social support and positive mental health
Health literacy and nutritional self-efficacy in older adults: the chain- mediating role of perceived social support and positive mental health Open
Objectives To explore the impact of health literacy on nutritional self-efficacy in older adults and the chain-mediated effects of perceived social support and positive mental health between the two. Methods A total of 265 older adults who…
View article: Biological Characteristics and Whole-Genome Analysis of a Porcine E. coli Phage
Biological Characteristics and Whole-Genome Analysis of a Porcine E. coli Phage Open
(1) Background: In recent years, the increasing emergence of multidrug-resistant pathogens in pig farms has begun to pose a severe threat to animal welfare and, by extension, public health. In this study, we aimed to explore the biological…
View article: MultiJSQ: Direct joint segmentation and quantification of left ventricle with deep multitask‐derived regression network
MultiJSQ: Direct joint segmentation and quantification of left ventricle with deep multitask‐derived regression network Open
Quantitative analysis of clinical function parameters from MRI images is crucial for diagnosing and assessing cardiovascular disease. However, the manual calculation of these parameters is challenging due to the high variability among pati…
View article: A Novel Fusion Method of Multi-Granular Assessments for Modern Multi-Attribute Decision Making Problems
A Novel Fusion Method of Multi-Granular Assessments for Modern Multi-Attribute Decision Making Problems Open
View article: Mining Interpretable Fuzzy If-Then Linguistic Rules from Energy and Economic Data to Forecast Co2 Emissions of Regions in China
Mining Interpretable Fuzzy If-Then Linguistic Rules from Energy and Economic Data to Forecast Co2 Emissions of Regions in China Open
View article: A novel linguistic decision making approach based on attribute correlation and EDAS method
A novel linguistic decision making approach based on attribute correlation and EDAS method Open
One of characteristics of large-scale linguistic decision making problems is that decision information with respect to decision making attributes is derived from multi-sources information. In addition, the number of decision makers, altern…
View article: An Efficient GAN-Based Multi-classification Approach for Financial Time Series Volatility Trend Prediction
An Efficient GAN-Based Multi-classification Approach for Financial Time Series Volatility Trend Prediction Open
Deep learning has achieved tremendous success in various applications owing to its robust feature representations of complex high-dimensional nonlinear data. Financial time-series prediction is no exception. Hence, the volatility trend pre…
View article: Determination of 101 pesticide residues in <italic>Platycodonis radix</italic> and extracts of <italic>Angelica sinensis</italic> by gel permeation chromatography-gas chromatography-ion trap mass spectrometry
Determination of 101 pesticide residues in <italic>Platycodonis radix</italic> and extracts of <italic>Angelica sinensis</italic> by gel permeation chromatography-gas chromatography-ion trap mass spectrometry Open
With the growing global popularity of traditional medicine and natural drugs， especially in Southeast Asia， the quality of traditional Chinese medicines （TCMs） has attracted the attention of regulators. China's major TCM export destination…
View article: Efficient Associate Rules Mining Based on Topology for Items of Transactional Data
Efficient Associate Rules Mining Based on Topology for Items of Transactional Data Open
A challenge in association rules’ mining is effectively reducing the time and space complexity in association rules mining with predefined minimum support and confidence thresholds from huge transaction databases. In this paper, we propose…
View article: A Fusion Method of Fuzzy Numbers and Linguistic Terms Based on Individual Semantics in Mixed Decision Making Analysis
A Fusion Method of Fuzzy Numbers and Linguistic Terms Based on Individual Semantics in Mixed Decision Making Analysis Open
View article: Label of a Linguistic Value in a Universe of Discourse and Truth-Values of Fuzzy Propositions
Label of a Linguistic Value in a Universe of Discourse and Truth-Values of Fuzzy Propositions Open
View article: Phelan–McDermid Syndrome in Pediatric Patients With Novel Mutations: Genetic and Phenotypic Analyses
Phelan–McDermid Syndrome in Pediatric Patients With Novel Mutations: Genetic and Phenotypic Analyses Open
Background PhelanrMcDermid syndrome (PMS) is an uncommon autosomal dominant inherited developmental disorder. The main characteristics are hypotonia, intellectual disability, autism spectrum disorder, autism-like behaviors and tiny facial …
View article: Associations of Boiled Water and Lifespan Water Sources With Mortality: A Cohort Study of 33,467 Older Adults
Associations of Boiled Water and Lifespan Water Sources With Mortality: A Cohort Study of 33,467 Older Adults Open
Background: There were few studies to report whether drinking water sources and habits affected health outcomes. Therefore, this study aimed to examine how boiled water and lifespan water sources affected the risks of cardiovascular diseas…
View article: An Effective GAN-Based Multi-classification Approach for Financial Time Series
An Effective GAN-Based Multi-classification Approach for Financial Time Series Open
Deep learning has achieved significant success in various applications due to its powerful feature representations of complex data. Financial time series forecasting is no exception. In this work we leverage Generative Adversarial Nets (GA…
View article: Network Pharmacology Based and Molecular Docking Prediction of the Active Ingredients and Mechanism of Ziziphi spinosae semen-Schisandrae chinensis fructus for Application in Insomnia Treatment
Network Pharmacology Based and Molecular Docking Prediction of the Active Ingredients and Mechanism of Ziziphi spinosae semen-Schisandrae chinensis fructus for Application in Insomnia Treatment Open
To investigate the molecular mechanism of Ziziphi spinosae semen and Schisandrae chinensis fructus in the treatment of insomnia is the objective of the study. First, the compounds and corresponding target genes of Ziziphi spinosae semen an…
View article: An Improved Quantile-Point-Based Evolutionary Segmentation Representation Method of Financial Time Series
An Improved Quantile-Point-Based Evolutionary Segmentation Representation Method of Financial Time Series Open
Effective and concise feature representation is crucial for time series mining. However, traditional time series feature representation approaches are inadequate for Financial Time Series (FTS) due to FTS' complex, highly noisy, dynamic an…
View article: Hypersecretion of vaccine antigen outer membrane lipoprotein A in Corynebacterium glutamicum through high-throughput based development process
Hypersecretion of vaccine antigen outer membrane lipoprotein A in Corynebacterium glutamicum through high-throughput based development process Open
Outer membrane lipoprotein A (OmlA) is a vaccine antigen against porcine contagious pleuropneumonia (PCP), a disease severely affecting the swine industry. Here, we aimed to systematically potentiate the secretory production of OmlA in Cor…
View article: A novel linguistic decision-making method based on the voting model for large-scale linguistic decision making
A novel linguistic decision-making method based on the voting model for large-scale linguistic decision making Open
The notable characteristic of large-scale linguistic decision-making problems is that there are so many decision makers who provide linguistic assessments by using fuzzy linguistic representation models. In real-world applications, fuzzy l…
View article: Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices
Estimation of Heavy Metal(Loid) Contents in Agricultural Soil of the Suzi River Basin Using Optimal Spectral Indices Open
For agricultural production and food safety, it is important to accurately and extensively estimate the heavy metal(loid) pollution contents in farmland soil. Remote sensing technology provides a feasible method for the rapid determination…
View article: Learning Concept Interestingness for Identifying Key Structures From Social Networks
Learning Concept Interestingness for Identifying Key Structures From Social Networks Open
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record
View article: Digital beam forming methods for variable polarimetric monopulse radar
Digital beam forming methods for variable polarimetric monopulse radar Open
In variable polarimetric monopulse radars, due to the number and types of data channels, the polarisation and angle information of the target in the receiving signals are non‐linearly coupled, which results in incorrect polarisation measur…
View article: A Novel Linguistic Decision Making Method Based on the Voting Model for Large-Scale Linguistic Decision making
A Novel Linguistic Decision Making Method Based on the Voting Model for Large-Scale Linguistic Decision making Open
The notable characteristic of large-scale linguistic decision making problems is that there are so many decision makers provide linguistic assessments according to fuzzy linguistic representation models. In real world applications, fuzzy l…
View article: A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm
A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm Open
The rapid development of civil UAV promotes the social and economic development, and the frequent “flying illegally” events has brought great challenges to aviation safety and government supervision. The frequency hopping communication sys…
View article: Issue Information
Issue Information Open
An effi cient secure k nearest neighbor classifi cation protocol with high-dimensional features
View article: Can We See the Energy Densities? II. Insights from Linear-Response Time-Dependent Density Functional Theory Calculations
Can We See the Energy Densities? II. Insights from Linear-Response Time-Dependent Density Functional Theory Calculations Open
Inspired by the analysis of Kohn-Sham energy densities by Nakai et al, we extended the energy density analysis to linear-response time-dependent density functional theory (LR-TDDFT) calculations. Using ethylene-tetrafluoroethylene and oxyl…
View article: Can We See the Energy Densities? I. Insights from Real-Time Time-Dependent Density Functional Theory Simulations
Can We See the Energy Densities? I. Insights from Real-Time Time-Dependent Density Functional Theory Simulations Open
In this work, we report a scheme to evaluate and analysis of energy density fluctuations during the real-time time-dependent density functional theory (RT-TDDFT) simulations. Using Ag4–N2 complexes as examples, it is …
View article: Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information
Novel Multiple Attribute Group Decision-Making Methods Based on Linguistic Intuitionistic Fuzzy Information Open
As an effective technique to qualitatively depict assessment information, a linguistic intuitionistic fuzzy number (LIFN) is more appropriate to portray vagueness and indeterminacy in actual situations than intuitionistic fuzzy number (IFN…
View article: Superpixel Segmentation Based on Global Similarity and Contour Region Transform
Superpixel Segmentation Based on Global Similarity and Contour Region Transform Open
This letter proposes a new superpixel segmentation algorithm based on global similarity and contour region transformation. The basic idea is that pixels surrounded by the same contour are more likely to belong to the same object region, wh…