Weide Li
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View article: Dynamic Analysis of Cholera Transmission Model under Vaccination and Media Effects
Dynamic Analysis of Cholera Transmission Model under Vaccination and Media Effects Open
View article: Effects of Soy Protein on Liver and Adipose Tissue Inflammation and Gut Microbiota in Mice Fed with Ketogenic Diets
Effects of Soy Protein on Liver and Adipose Tissue Inflammation and Gut Microbiota in Mice Fed with Ketogenic Diets Open
Background: Studies on ketogenic diets with a higher percentage of fat composition have revealed conflicting results regarding the modulation of lipid metabolism and tissue inflammation. Furthermore, studies on soy protein consumption in k…
View article: An epidemiological model of monkeypox: model prediction and control application
An epidemiological model of monkeypox: model prediction and control application Open
View article: PARTITIONING OF FERTILIZATION MANAGEMENT ZONES FOR MAIZE BASED ON SOM-FCM
PARTITIONING OF FERTILIZATION MANAGEMENT ZONES FOR MAIZE BASED ON SOM-FCM Open
View article: Daily runoff prediction based on lightweight Mamba with partial normalization
Daily runoff prediction based on lightweight Mamba with partial normalization Open
Runoff prediction serves as the cornerstone for the effective management, allocation, and utilization of water resources, playing a key role in hydrological research. This study employs a newly reported deep learning model, Mamba, to forec…
View article: Comparing the Impact of COVID-19 on Student Mathematics Achievement: A Multilevel Machine Learning Analysis of PISA 2022
Comparing the Impact of COVID-19 on Student Mathematics Achievement: A Multilevel Machine Learning Analysis of PISA 2022 Open
The COVID-19 pandemic led to significant disruptions in schooling worldwide. This study aims to evaluate and compare the impact of the pandemic on student mathematics achievement across eight representative countries/regions, using data fr…
View article: Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation Open
Lake temperature forecasting is crucial for understanding and mitigating climate change impacts on aquatic ecosystems. The meteorological time series data and their relationship have a high degree of complexity and uncertainty, making it d…
View article: Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study Open
The interest in predicting online learning performance using ML algorithms has been steadily increasing. We first conducted a scientometric analysis to provide a systematic review of research in this area. The findings show that most exist…
View article: A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China Open
Accurate streamflow prediction is crucial for effective water resource management. However, reliable prediction remains a considerable challenge because of the highly complex, non-stationary, and non-linear processes that contribute to str…
View article: Dgi-Gru: Integrating Dynamic Graph Convolution for Enhanced Spatio-Temporal Information Extraction
Dgi-Gru: Integrating Dynamic Graph Convolution for Enhanced Spatio-Temporal Information Extraction Open
View article: Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks
Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks Open
Analytical solutions are practical tools in ocean engineering, but their derivation is often constrained by the complexities of the real world. This underscores the necessity for alternative approaches. In this study, the potential of Phys…
View article: Design and Development of Map Vertical Social Platform Based on LBS
Design and Development of Map Vertical Social Platform Based on LBS Open
In recent years, vertical social communication among strangers characterized by anonymization and personalization is becoming a new approach to social communication in mobile Internet era. This paper developed a map vertical social platfor…
View article: A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction
A Novel Deep Learning Model for Mining Nonlinear Dynamics in Lake Surface Water Temperature Prediction Open
As one of the critical indicators of the lake ecosystem, the lake surface water temperature is an important indicator for measuring lake ecological environment. However, there is a complex nonlinear relationship between lake surface water …
View article: Impact of different invasion methods of invasive species on omnivorous food webs
Impact of different invasion methods of invasive species on omnivorous food webs Open
Habitat loss and habitat fragmentations are the two main characteristics of habitat destruction and one of the main drivers of biological extinction. So far, many studies have made progress in theoretical studies of spatial food webs, but …
View article: Biological control for predation invasion based on pair approximation
Biological control for predation invasion based on pair approximation Open
Biological invasions have been paid more attention since invasive species may cause certain threats to local ecosystems. When biological control is adopted, selecting control species for effect better becomes the focus of latest studies. …
View article: Invasion in An Omnivorous Food Web: The Impact of Roles and Different Trophic Levels
Invasion in An Omnivorous Food Web: The Impact of Roles and Different Trophic Levels Open
In the field of ecology, habitat loss and fragmentation are the two main characteristic forms of habitat destruction and the main drivers of species extinction, resulting in the gradual loss of biodiversity. So far, many scholars have made…
View article: SSA-LSTM neural network for hourly PM2.5 concentration prediction in Shenyang, China
SSA-LSTM neural network for hourly PM2.5 concentration prediction in Shenyang, China Open
Atmospheric environment has become the focus of global attention. Fine particulate matter has posed a serious threat to human respiratory system. In order to effectively control atmospheric environment and protect human health, pollutant p…
View article: Relationship between Helicobacter pylori infection and obesity in Chinese adults: A systematic review with meta-analysis
Relationship between Helicobacter pylori infection and obesity in Chinese adults: A systematic review with meta-analysis Open
In China, obesity has association with H. pylori infection. H. pylori infection may be one of the risk factors for obesity.
View article: An innovated integrated model using Singular Spectrum Analysis and Support Vector Regression optimized by intelligent algorithm for rainfall forecasting
An innovated integrated model using Singular Spectrum Analysis and Support Vector Regression optimized by intelligent algorithm for rainfall forecasting Open
Rainfall forecasting is becoming more and more significant and precipitation anomalies would lead to droughts and floods disasters. However, because of the complexity and non-stationary of rainfall data, it is difficult to forecast. In thi…
View article: A Combined Model Based on Feature Selection and WOA for PM2.5 Concentration Forecasting
A Combined Model Based on Feature Selection and WOA for PM2.5 Concentration Forecasting Open
As people pay more attention to the environment and health, P M 2.5 receives more and more consideration. Establishing a high-precision P M 2.5 concentration prediction model is of great significance for air pollutants monitoring and contr…
View article: Solving Three Dimensional Maxwell Eigenvalue Problem with Fourteen Bravais Lattices
Solving Three Dimensional Maxwell Eigenvalue Problem with Fourteen Bravais Lattices Open
Calculation of band structure of three dimensional photonic crystals amounts to solving large-scale Maxwell eigenvalue problems, which are notoriously challenging due to high multiplicity of zero eigenvalue. In this paper, we try to addres…
View article: Eigenvalue Problems of Discrete Curl Operators on Various Lattices for Simulating Three Dimensional Photonic Crystals
Eigenvalue Problems of Discrete Curl Operators on Various Lattices for Simulating Three Dimensional Photonic Crystals Open
There are many numerical methods for simulate three-dimensional photonic crystals, after comparison, we choose Yee's scheme to be our discrete method. So far, this method can only be applied to simple cubic lattice and face-centered cubic …
View article: ANALYSIS ON A MODIFIED LESLIE-GOWER AND HOLLING-TYPE II PREDATOR-PREY SYSTEM INCORPORATING A PREY REFUGE AND TIME DELAY
ANALYSIS ON A MODIFIED LESLIE-GOWER AND HOLLING-TYPE II PREDATOR-PREY SYSTEM INCORPORATING A PREY REFUGE AND TIME DELAY Open
This paper describes a delayed predator-prey model with modified Leslie-Grower scheme, in which the time delays are regarded as bifurcation parameters. The functional response is considered to be of Holling-type II and incorporates a const…
View article: Predictors Associated With Increased Prevalence of Abdominal Aortic Aneurysm in Chinese Patients with Atherosclerotic Risk Factors
Predictors Associated With Increased Prevalence of Abdominal Aortic Aneurysm in Chinese Patients with Atherosclerotic Risk Factors Open
View article: A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting
A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting Open
Electric load forecasting plays an important role in electricity markets and power systems. Because electric load time series are complicated and nonlinear, it is very difficult to achieve a satisfactory forecasting accuracy. In this paper…
View article: Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting
Hybrid Forecasting Approach Based on GRNN Neural Network and SVR Machine for Electricity Demand Forecasting Open
Accurate electric power demand forecasting plays a key role in electricity markets and power systems. The electric power demand is usually a non-linear problem due to various unknown reasons, which make it difficult to get accurate predict…
View article: A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China Open
Air pollution in China is becoming more serious especially for the particular matter (PM) because of rapid economic growth and fast expansion of urbanization. To solve the growing environment problems, daily PM2.5 and PM10 concentration da…