Hongwei Zhao
Biographic Data
| ID | 5537336 |
|---|---|
| NAME | Hongwei Zhao |
| GIVEN NAMES | Hongwei |
| FAMILY NAME | Zhao |
| SIGNATURE | ZHAO H |
| AFFILIATIONS | Texas A&M Health Science Center |
| ORCID | 0000-0001-8604-8694 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2002 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
To vary or not to vary
Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random effects. Instead of testing whether a variance component equals zero, the EBF evaluates the equivalent h…
Using Mixture Multigroup Structural Equation Modeling to Compare Structural Relations Across Many Groups
The growing availability of large-scale survey data has increased interest in comparing relations among latent variables (often called structural relations) across many groups (e.g., countries or schools) using Structural Equation Modeling (SEM). Traditional multigroup or multilevel SEM become impractical in these settings, as they require pairwise comparisons to identify specific differences between groups. These pairwise comparisons become daun…
Diffusion Generation-Based Federated Learning for Non-IID Defect Recognition
Effective defect recognition is essential for improving quality and stability in smart manufacturing, often necessitating collaborative learning across multiple organizations. Federated learning (FL) is promising in this regard. However, FL struggles with client-drift problem in nonindependent and identically distributed (non-IID) data. To this end, this article introduces a novel federated learning with diffusion generation (FL-DiG), which tackl…
Wuwei Shaji powder alleviates OVA-induced allergic asthma by protecting bronchial epithelial cells from ferroptosis via the S-sulfhydration of Keap1
Community Awareness Personalized Federated Learning for Defect Detection
Multiple organizations in social manufacturing can collaborate on high-quality product defect detection with social networks. Federated learning (FL) is an emerging paradigm where multiple clients can collaboratively train a defect detection model in a privacy-preserving manner. A prevalent issue in FL, concept drift, is discussed in this article. Feature representations of the same label may vary at different clients which affects the performanc…
The Role of Freehand Transperineal Prostate Biopsy Under Local Anesthesia Without Antibiotics in Outpatient Settings
The objectives of this study were to evaluate and compare the application of freehand transperineal prostate biopsy (FTPB) under local anesthesia (LA) versus systematic transperineal prostate biopsy (STPB) in an outpatient setting without antibiotics. A total of 218 biopsy-naive patients with suspicion of prostate cancer (PCa) based on multiparametric magnetic resonance imaging (mpMRI) were retrospectively analyzed. Suspicious areas on mpMRI were…
The protective effect of Lonicera japonica Thunb. against lipopolysaccharide-induced acute lung injury in mice
Feature-Contrastive Graph Federated Learning
Federated learning enables multiple clients to learn a general model without sharing local data, and the federated learning system also improves information security and advances responsible artificial intelligence (AI). However, the data of different clients in the system are non-independently and identically distributed (IID), which results in weight divergence, especially for complex graph data extraction. This article proposes a novel feature…
The Soviet Union's Position and Practical Actions on UN Disarmament Issues in the 1970s
Toward Improving Image Retrieval via Global Saliency Weighted Feature
For full description of images’ semantic information, image retrieval tasks are increasingly using deep convolution features trained by neural networks. However, to form a compact feature representation, the obtained convolutional features must be further aggregated in image retrieval. The quality of aggregation affects retrieval performance. In order to obtain better image descriptors for image retrieval, we propose two modules in our method. Th…
Similarity Retention Loss (SRL) Based on Deep Metric Learning for Remote Sensing Image Retrieval
Recently, with the rapid growth of the number of datasets with remote sensing images, it is urgent to propose an effective image retrieval method to manage and use such image data. In this paper, we propose a deep metric learning strategy based on Similarity Retention Loss (SRL) for content-based remote sensing image retrieval. We have improved the current metric learning methods from the following aspects—sample mining, network model structure a…
Stand-Biased Versus Seated Classrooms and Childhood Obesity
Objectives. To measure changes in body mass index (BMI) percentiles among third- and fourth-grade students in stand-biased classrooms and traditional seated classrooms in 3 Texas elementary schools. Methods. Research staff recorded the height and weight of 380 students in 24 classrooms across the 3 schools at the beginning (2011–2012) and end (2012–2013) of the 2-year study. Results. After adjustment for grade, race/ethnicity, and gender, there w…
The Evaluation of the Impact of a Stand-Biased Desk on Energy Expenditure and Physical Activity for Elementary School Students
Due to the increasing prevalence of childhood obesity, the association between classroom furniture and energy expenditure as well as physical activity was examined using a standing-desk intervention in three central-Texas elementary schools. Of the 480 students in the 24 classrooms randomly assigned to either a seated or stand-biased desk equipped classroom, 374 agreed to participate in a week-long data collection during the fall and spring semes…
Nursing Home Environment and Organizational Performance
BACKGROUND: Work environment attributes--job design, teamwork, and work effectiveness--are thought to influence nursing home (NH) quality of care. However, few studies tested these relationships empirically. OBJECTIVE: We investigated the relationship between these work environment attributes and quality of care measured by facility-level regulatory deficiencies. METHODS: Data on work environment were derived from survey responses obtained (in 20…
Measuring Work Environment and Performance in Nursing Homes
BACKGROUND: Qualitative studies of the nursing home work environment have long suggested that attributes such as leadership and communication may be related to nursing home performance, including residents' outcomes. However, empirical studies examining these relationships have been scant. OBJECTIVES: This study is designed to develop an instrument for measuring nursing home work environment and perceived work effectiveness; test the reliability …
Health-Related Quality of Life Consequences of Implantable Cardioverter Defibrillators
BACKGROUND: Implantable cardioverter defibrillators (ICDs) improve survival and extend lives of patients with severe heart disease. OBJECTIVE: We sought to evaluate the impact of ICDs on health-related quality of life (HRQOL) during the first 3 years after implantation. SUBJECTS: A total of 1089 patients from the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) were randomized to an ICD or medical treatment only. MEASURES: Hea…
Rearrest Rates After Incarceration for DWI
Objectives. This study was undertaken to assess a 28-day detention and treatment program’s effect, in a multiethnic county with high rates of alcohol-related arrests and crashes, on first-time offenders sentenced for driving while impaired (DWI). Methods. We used comparison of baseline characteristics, survival curves of subsequent arrest, and Cox proportional hazards regression to examine probability of rearrest of those sentenced and those not …
Stand-Biased Versus Seated Classrooms and Childhood Obesity
Objectives. To measure changes in body mass index (BMI) percentiles among third- and fourth-grade students in stand-biased classrooms and traditional seated classrooms in 3 Texas elementary schools. Methods. Research staff recorded the height and weight of 380 students in 24 classrooms across the 3 schools at the beginning (2011–2012) and end (2012–2013) of the 2-year study. Results. After adjustment for grade, race/ethnicity, and gender, there w…
Rearrest Rates After Incarceration for DWI
Objectives. This study was undertaken to assess a 28-day detention and treatment program’s effect, in a multiethnic county with high rates of alcohol-related arrests and crashes, on first-time offenders sentenced for driving while impaired (DWI). Methods. We used comparison of baseline characteristics, survival curves of subsequent arrest, and Cox proportional hazards regression to examine probability of rearrest of those sentenced and those not …
Rearrest Rates After Incarceration for DWI
Objectives. This study was undertaken to assess a 28-day detention and treatment program’s effect, in a multiethnic county with high rates of alcohol-related arrests and crashes, on first-time offenders sentenced for driving while impaired (DWI). Methods. We used comparison of baseline characteristics, survival curves of subsequent arrest, and Cox proportional hazards regression to examine probability of rearrest of those sentenced and those not …
Health-Related Quality of Life Consequences of Implantable Cardioverter Defibrillators
BACKGROUND: Implantable cardioverter defibrillators (ICDs) improve survival and extend lives of patients with severe heart disease. OBJECTIVE: We sought to evaluate the impact of ICDs on health-related quality of life (HRQOL) during the first 3 years after implantation. SUBJECTS: A total of 1089 patients from the Multicenter Automatic Defibrillator Implantation Trial II (MADIT II) were randomized to an ICD or medical treatment only. MEASURES: Hea…
Measuring Work Environment and Performance in Nursing Homes
BACKGROUND: Qualitative studies of the nursing home work environment have long suggested that attributes such as leadership and communication may be related to nursing home performance, including residents' outcomes. However, empirical studies examining these relationships have been scant. OBJECTIVES: This study is designed to develop an instrument for measuring nursing home work environment and perceived work effectiveness; test the reliability …
Nursing Home Environment and Organizational Performance
BACKGROUND: Work environment attributes--job design, teamwork, and work effectiveness--are thought to influence nursing home (NH) quality of care. However, few studies tested these relationships empirically. OBJECTIVE: We investigated the relationship between these work environment attributes and quality of care measured by facility-level regulatory deficiencies. METHODS: Data on work environment were derived from survey responses obtained (in 20…
The Evaluation of the Impact of a Stand-Biased Desk on Energy Expenditure and Physical Activity for Elementary School Students
Due to the increasing prevalence of childhood obesity, the association between classroom furniture and energy expenditure as well as physical activity was examined using a standing-desk intervention in three central-Texas elementary schools. Of the 480 students in the 24 classrooms randomly assigned to either a seated or stand-biased desk equipped classroom, 374 agreed to participate in a week-long data collection during the fall and spring semes…
Stand-Biased Versus Seated Classrooms and Childhood Obesity
Objectives. To measure changes in body mass index (BMI) percentiles among third- and fourth-grade students in stand-biased classrooms and traditional seated classrooms in 3 Texas elementary schools. Methods. Research staff recorded the height and weight of 380 students in 24 classrooms across the 3 schools at the beginning (2011–2012) and end (2012–2013) of the 2-year study. Results. After adjustment for grade, race/ethnicity, and gender, there w…
Similarity Retention Loss (SRL) Based on Deep Metric Learning for Remote Sensing Image Retrieval
Recently, with the rapid growth of the number of datasets with remote sensing images, it is urgent to propose an effective image retrieval method to manage and use such image data. In this paper, we propose a deep metric learning strategy based on Similarity Retention Loss (SRL) for content-based remote sensing image retrieval. We have improved the current metric learning methods from the following aspects—sample mining, network model structure a…
Toward Improving Image Retrieval via Global Saliency Weighted Feature
For full description of images’ semantic information, image retrieval tasks are increasingly using deep convolution features trained by neural networks. However, to form a compact feature representation, the obtained convolutional features must be further aggregated in image retrieval. The quality of aggregation affects retrieval performance. In order to obtain better image descriptors for image retrieval, we propose two modules in our method. Th…
Feature-Contrastive Graph Federated Learning
Federated learning enables multiple clients to learn a general model without sharing local data, and the federated learning system also improves information security and advances responsible artificial intelligence (AI). However, the data of different clients in the system are non-independently and identically distributed (IID), which results in weight divergence, especially for complex graph data extraction. This article proposes a novel feature…
The Soviet Union's Position and Practical Actions on UN Disarmament Issues in the 1970s
Community Awareness Personalized Federated Learning for Defect Detection
Multiple organizations in social manufacturing can collaborate on high-quality product defect detection with social networks. Federated learning (FL) is an emerging paradigm where multiple clients can collaboratively train a defect detection model in a privacy-preserving manner. A prevalent issue in FL, concept drift, is discussed in this article. Feature representations of the same label may vary at different clients which affects the performanc…
The Role of Freehand Transperineal Prostate Biopsy Under Local Anesthesia Without Antibiotics in Outpatient Settings
The objectives of this study were to evaluate and compare the application of freehand transperineal prostate biopsy (FTPB) under local anesthesia (LA) versus systematic transperineal prostate biopsy (STPB) in an outpatient setting without antibiotics. A total of 218 biopsy-naive patients with suspicion of prostate cancer (PCa) based on multiparametric magnetic resonance imaging (mpMRI) were retrospectively analyzed. Suspicious areas on mpMRI were…
The protective effect of Lonicera japonica Thunb. against lipopolysaccharide-induced acute lung injury in mice
Diffusion Generation-Based Federated Learning for Non-IID Defect Recognition
Effective defect recognition is essential for improving quality and stability in smart manufacturing, often necessitating collaborative learning across multiple organizations. Federated learning (FL) is promising in this regard. However, FL struggles with client-drift problem in nonindependent and identically distributed (non-IID) data. To this end, this article introduces a novel federated learning with diffusion generation (FL-DiG), which tackl…
Wuwei Shaji powder alleviates OVA-induced allergic asthma by protecting bronchial epithelial cells from ferroptosis via the S-sulfhydration of Keap1
To vary or not to vary
Random effects are the gold standard for capturing structural heterogeneity, such as individual differences or temporal dependence. Yet testing their presence is difficult because variance components are constrained to be non‐negative, creating a boundary problem. This paper introduces a flexible empirical Bayes factor (EBF) for testing random effects. Instead of testing whether a variance component equals zero, the EBF evaluates the equivalent h…
Using Mixture Multigroup Structural Equation Modeling to Compare Structural Relations Across Many Groups
The growing availability of large-scale survey data has increased interest in comparing relations among latent variables (often called structural relations) across many groups (e.g., countries or schools) using Structural Equation Modeling (SEM). Traditional multigroup or multilevel SEM become impractical in these settings, as they require pairwise comparisons to identify specific differences between groups. These pairwise comparisons become daun…
Medicine (9 works) · Computer Science (7 works) · Artificial Intelligence (4 works) · Internal Medicine (4 works) · Psychology (4 works) · Environmental health (3 works) · Gerontology (3 works) · Internal Medicine (3 works) · Advanced Image and Video Retrieval Techniques (2 works) · Adverse effect (2 works)