Wenxiu Zhang
Biographic Data
| ID | 5855608 |
|---|---|
| NAME | Wenxiu Zhang |
| GIVEN NAMES | Wenxiu |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG W |
| AFFILIATIONS | Xi'an Jiaotong University |
| ORCID | 0009-0000-1257-5758 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 47 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Is Lumbar Disk Herniation a Potential Risk Factor for Chronic Prostatitis/Chronic Pelvic Pain Syndrome? Insights From a Misdiagnosed Case
Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a complex condition characterized by heterogeneous symptoms and unclear pathogenesis, often posing diagnostic and therapeutic challenges. Lumbar disk herniation (LDH) may compress the dural sac and irritate the cauda equina, producing subclinical symptoms that overlap with those of CP/CPPS and increasing the likelihood of misdiagnosis. We report the case of a 61-year-old man with an 8-…
Multiomics and experimental approaches reveal the anti-acute lung injury effects of Fallopia aubertii (L. Henry) Holub extract via IL-17/NF-κB pathway inhibition
The Active Ingredient in Reading Comprehension Strategy Intervention for Struggling Readers
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly researched strategies: main idea, inference, text structure, retell, prediction, self-monitoring, and gr…
Myopic loss aversion or equate-to-differentiate heuristic? A heuristic decision making model for both single and aggregated plays
Myopic loss aversion (MLA)-a combination of myopic loss and a greater sensitivity to losses than gains-has been proposed to explain the equity premium puzzle and then extended to myopic prospect theory (MPT). However, such an expected-value/utility-based theory has been challenged and the underlying mechanism remains debatable. In the current study, we applied the modified equate-to-differentiate model to address this phenomenon. In Experiment 1,…
Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model
A mixed geographically weighted regression (MGWR) model is a kind of regression model in which some coefficients of the explanatory variables are constant, but others vary spatially. It is a useful statistical modelling tool in a number of areas of spatial data analysis. After an MGWR model is identified and calibrated, which has been well studied recently, one of the important inference problems is to evaluate the influence of the explanatory va…
Statistical Test for Local Patterns of Spatial Association
In recent years, there has been a growing interest in the use of local measures such as Anselin's LISAs and Ord and Getis G statistics to identify local patterns of spatial association. The statistical significance test based on local statistics is one of the most important aspects in performing this kind of analysis, and a randomized permutation approach and normal approximation are commonly used to derive the p-values of the statistics. To circ…
Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression
Geographically weighted regression (GWR) is a useful technique for exploring spatial nonstationarity by calibrating, for example, a regression model which allows different relationships to exist at different points in space. In this line of research, many spatial data sets have been successfully analyzed and some statistical tests for spatial variation have been developed. However, an important assumption in these studies is that the disturbance …
Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
Geographically weighted regression (GWR) is a way of exploring spatial nonstationarity by calibrating a multiple regression model which allows different relationships to exist at different points in space. Nevertheless, formal testing procedures for spatial nonstationarity have not been developed since the inception of the model. In this paper the authors focus mainly on the development of statistical testing methods relating to this model. Some …
Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
Geographically weighted regression (GWR) is a way of exploring spatial nonstationarity by calibrating a multiple regression model which allows different relationships to exist at different points in space. Nevertheless, formal testing procedures for spatial nonstationarity have not been developed since the inception of the model. In this paper the authors focus mainly on the development of statistical testing methods relating to this model. Some …
Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression
Geographically weighted regression (GWR) is a useful technique for exploring spatial nonstationarity by calibrating, for example, a regression model which allows different relationships to exist at different points in space. In this line of research, many spatial data sets have been successfully analyzed and some statistical tests for spatial variation have been developed. However, an important assumption in these studies is that the disturbance …
Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model
A mixed geographically weighted regression (MGWR) model is a kind of regression model in which some coefficients of the explanatory variables are constant, but others vary spatially. It is a useful statistical modelling tool in a number of areas of spatial data analysis. After an MGWR model is identified and calibrated, which has been well studied recently, one of the important inference problems is to evaluate the influence of the explanatory va…
Statistical Test for Local Patterns of Spatial Association
In recent years, there has been a growing interest in the use of local measures such as Anselin's LISAs and Ord and Getis G statistics to identify local patterns of spatial association. The statistical significance test based on local statistics is one of the most important aspects in performing this kind of analysis, and a randomized permutation approach and normal approximation are commonly used to derive the p-values of the statistics. To circ…
Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression
Geographically weighted regression (GWR) is a useful technique for exploring spatial nonstationarity by calibrating, for example, a regression model which allows different relationships to exist at different points in space. In this line of research, many spatial data sets have been successfully analyzed and some statistical tests for spatial variation have been developed. However, an important assumption in these studies is that the disturbance …
Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model
Geographically weighted regression (GWR) is a way of exploring spatial nonstationarity by calibrating a multiple regression model which allows different relationships to exist at different points in space. Nevertheless, formal testing procedures for spatial nonstationarity have not been developed since the inception of the model. In this paper the authors focus mainly on the development of statistical testing methods relating to this model. Some …
Statistical Test for Local Patterns of Spatial Association
In recent years, there has been a growing interest in the use of local measures such as Anselin's LISAs and Ord and Getis G statistics to identify local patterns of spatial association. The statistical significance test based on local statistics is one of the most important aspects in performing this kind of analysis, and a randomized permutation approach and normal approximation are commonly used to derive the p-values of the statistics. To circ…
Testing the Importance of the Explanatory Variables in a Mixed Geographically Weighted Regression Model
A mixed geographically weighted regression (MGWR) model is a kind of regression model in which some coefficients of the explanatory variables are constant, but others vary spatially. It is a useful statistical modelling tool in a number of areas of spatial data analysis. After an MGWR model is identified and calibrated, which has been well studied recently, one of the important inference problems is to evaluate the influence of the explanatory va…
Myopic loss aversion or equate-to-differentiate heuristic? A heuristic decision making model for both single and aggregated plays
Myopic loss aversion (MLA)-a combination of myopic loss and a greater sensitivity to losses than gains-has been proposed to explain the equity premium puzzle and then extended to myopic prospect theory (MPT). However, such an expected-value/utility-based theory has been challenged and the underlying mechanism remains debatable. In the current study, we applied the modified equate-to-differentiate model to address this phenomenon. In Experiment 1,…
The Active Ingredient in Reading Comprehension Strategy Intervention for Struggling Readers
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly researched strategies: main idea, inference, text structure, retell, prediction, self-monitoring, and gr…
Is Lumbar Disk Herniation a Potential Risk Factor for Chronic Prostatitis/Chronic Pelvic Pain Syndrome? Insights From a Misdiagnosed Case
Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a complex condition characterized by heterogeneous symptoms and unclear pathogenesis, often posing diagnostic and therapeutic challenges. Lumbar disk herniation (LDH) may compress the dural sac and irritate the cauda equina, producing subclinical symptoms that overlap with those of CP/CPPS and increasing the likelihood of misdiagnosis. We report the case of a 61-year-old man with an 8-…
Multiomics and experimental approaches reveal the anti-acute lung injury effects of Fallopia aubertii (L. Henry) Holub extract via IL-17/NF-κB pathway inhibition
Econometrics (5 works) · Mathematics (5 works) · Computer Science (4 works) · Spatial and Panel Data Analysis (4 works) · Statistics (4 works) · Regional Economics and Spatial Analysis (3 works) · Regression analysis (3 works) · Spatial analysis (3 works) · Statistical hypothesis testing (3 works) · Artificial Intelligence (2 works)