Yong Luo
Biographic Data
| ID | 6033332 |
|---|---|
| NAME | Yong Luo |
| GIVEN NAMES | Yong |
| FAMILY NAME | Luo |
| SIGNATURE | LUO Y |
| AFFILIATIONS | National Center for Assessment, Riyadh, Saudi Arabia |
| ORCID | 0000-0002-7721-3974 |
| VERIFIED | Yes |
| TOTAL WORKS | 24 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 24 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Adoption of Deep Generative Models in Architectural and Urban-Form Generation
Integrating deep generative models (DGMs) into architectural and urban-form generation is an innovative approach to support the design process. However, whether these applications are what designers need is rarely considered. To capture the user acceptance and visions of applying DGMs to architectural and urban-form generation, survey research was conducted. Drawing on the technology acceptance model (TAM), this study examines factors affecting u…
Tackling tricky complaints
Purpose This research serves a twofold purpose: first, to identify and categorize two common intention hiding strategies used by frontline employees when handling tricky user complaints, specifically evasive hiding and rationalized hiding; and second, to systematically examine the interactive effects of agent type (AI vs. human) and these strategies on users’ willingness to forgive. Design/methodology/approach Three experiments (N = 820) were con…
An immune-liver microphysiological system method for evaluation and quality control of hepatotoxicity induced by Polygonum multiflorum thunb. Extract
China’s carbon-neutral policies will reduce short-term PM2.5-associated excess incidence of cardiovascular diseases
China's carbon-neutral target could have benefits for ambient fine particulate matter (PM 2.5 )-associated mortality. Although previous studies have researched such benefits, the potential impact on cardiovascular disease incidence burden is yet to be investigated thoroughly. Here, we first estimate the association between short-term PM 2.5 exposure and the incidence of stroke and coronary heart disease (CHD) via a case-crossover study before pro…
The gut microbiota and post-traumatic major depression disorder
Our findings provide a cause-and-effect relationship between the gut microbiota and PTMDD, contributing to our understanding of the microbiota-gut-brain axis and its role in neuropsychiatric disorder development after trauma. This information provides an opportunity for new treatment and prevention methods which are aimed at the gut-brain interaction
Shexiang Tongxin dropping pills protect against ischemic stroke-induced cerebral microvascular dysfunction via suppressing TXNIP/NLRP3 signaling pathway
STDP improves ischemic stroke-induced cerebral microcirculatory deficits by regulating cerebral microvascular endothelial ROS/TXNIP/NLRP3 signaling pathway
The Change of Climate and Ecological Environment in China 2021
This book analyzes China's climate and environmental change facts, impacts and vulnerabilities, and mitigation strategies.
Game-based learning in medical education
At present, medical education is rapidly evolving. Game-based learning (GBL) has been gradually used for education, and several innovations have emerged. The emergence of serious games and gamification provides alternative approaches for educators to improve the medical teaching process. Both serious games and gamification exert their education-promoting function by providing the possibility of combining learning activities such as feedback, test…
Field Test and Numerical Analysis on Deformation Response of H-Type Antislide Pile
Landslides are regarded as significant geological hazards worldwide and threaten many people. To effectively prevent the occurrence of landslide disasters, antislide piles are widely used for the treatment of landslides. However, for some massive landslides (landslide thrust q≥2,000 kN/m), the retaining effect of the common antislide pile is very poor. The h-type antislide pile is a novel retaining structure and has proven effective in engineerin…
Payments for ecosystem services programs, institutional bricolage, and common pool resource management
A Short Note on Obtaining Point Estimates of the IRT Ability Parameter With MCMC Estimation in Mplus
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent variable point estimates is unclear. This is especially relevant when an item response theory (IRT) mo…
A Note on the D -Scoring Method Adapted for Polytomous Test Items
An approach to scoring tests with binary items, referred to as D-scoring method, was previously developed as a classical analog to basic models in item response theory (IRT) for binary items. As some tests include polytomous items, this study offers an approach to D-scoring of such items and parallels the results with those obtained under the graded response model (GRM) for ordered polytomous items in the framework of IRT. The proposed design of …
A Short Note on Estimating the Testlet Model With Different Estimators in Mplus
Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and full-information estimation methods
Using the Stan Program for Bayesian Item Response Theory
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the three-parameter logistic IRT model, the graded response model, and the nominal response model. We demonstrate how I…
The Lancet Countdown
Post-disaster resettlement and livelihood vulnerability in rural China
Purpose Livelihood recovery is a top priority to sustain resettled communities. The purpose of this paper is to assess livelihood vulnerability of those displaced and resettled in the aftermath of the 2008 Wenchuan earthquake, China, based on a newly constructed locational adjustable framework. Design/methodology/approach The study takes two resettlement villages in Sichuan Province as case study areas. Face-to-face surveys using a structured que…
The Utility of the Bifactor Method for Unidimensionality Assessment When Other Methods Disagree
This article provides an empirical illustration of the utility of the bifactor method for unidimensionality assessment when other methods disagree. Specifically, we used two popular methods for unidimensionality assessment: (a) evaluating the model fit of a one-factor model using Mplus, and (b) DIMTEST to show that different unidimensionality methods may lead to different results, and argued that in such cases the bifactor method can be particula…
Health and climate change
Comparison of uncertainties in projected flood frequency of the Zhujiang River, South China
Spring and summer precipitation changes from 1880 to 2011 and the future projections from CMIP5 models in the Yangtze River Basin, China
Tropical cyclones in China
Projected changes of precipitation extremes in river basins over China
Tropical cyclones and heavy rainfall in Fujian Province, China
Projected changes in temperature and precipitation extremes over the Yangtze River Basin of China in the 21st century
No prominent works on this page.
Projected changes in temperature and precipitation extremes over the Yangtze River Basin of China in the 21st century
Tropical cyclones and heavy rainfall in Fujian Province, China
Tropical cyclones in China
Projected changes of precipitation extremes in river basins over China
Comparison of uncertainties in projected flood frequency of the Zhujiang River, South China
Spring and summer precipitation changes from 1880 to 2011 and the future projections from CMIP5 models in the Yangtze River Basin, China
Health and climate change
The Utility of the Bifactor Method for Unidimensionality Assessment When Other Methods Disagree
This article provides an empirical illustration of the utility of the bifactor method for unidimensionality assessment when other methods disagree. Specifically, we used two popular methods for unidimensionality assessment: (a) evaluating the model fit of a one-factor model using Mplus, and (b) DIMTEST to show that different unidimensionality methods may lead to different results, and argued that in such cases the bifactor method can be particula…
The Lancet Countdown
Post-disaster resettlement and livelihood vulnerability in rural China
Purpose Livelihood recovery is a top priority to sustain resettled communities. The purpose of this paper is to assess livelihood vulnerability of those displaced and resettled in the aftermath of the 2008 Wenchuan earthquake, China, based on a newly constructed locational adjustable framework. Design/methodology/approach The study takes two resettlement villages in Sichuan Province as case study areas. Face-to-face surveys using a structured que…
A Short Note on Estimating the Testlet Model With Different Estimators in Mplus
Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and full-information estimation methods
Using the Stan Program for Bayesian Item Response Theory
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the three-parameter logistic IRT model, the graded response model, and the nominal response model. We demonstrate how I…
A Short Note on Obtaining Point Estimates of the IRT Ability Parameter With MCMC Estimation in Mplus
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent variable point estimates is unclear. This is especially relevant when an item response theory (IRT) mo…
A Note on the D -Scoring Method Adapted for Polytomous Test Items
An approach to scoring tests with binary items, referred to as D-scoring method, was previously developed as a classical analog to basic models in item response theory (IRT) for binary items. As some tests include polytomous items, this study offers an approach to D-scoring of such items and parallels the results with those obtained under the graded response model (GRM) for ordered polytomous items in the framework of IRT. The proposed design of …
Field Test and Numerical Analysis on Deformation Response of H-Type Antislide Pile
Landslides are regarded as significant geological hazards worldwide and threaten many people. To effectively prevent the occurrence of landslide disasters, antislide piles are widely used for the treatment of landslides. However, for some massive landslides (landslide thrust q≥2,000 kN/m), the retaining effect of the common antislide pile is very poor. The h-type antislide pile is a novel retaining structure and has proven effective in engineerin…
Payments for ecosystem services programs, institutional bricolage, and common pool resource management
The Change of Climate and Ecological Environment in China 2021
This book analyzes China's climate and environmental change facts, impacts and vulnerabilities, and mitigation strategies.
Game-based learning in medical education
At present, medical education is rapidly evolving. Game-based learning (GBL) has been gradually used for education, and several innovations have emerged. The emergence of serious games and gamification provides alternative approaches for educators to improve the medical teaching process. Both serious games and gamification exert their education-promoting function by providing the possibility of combining learning activities such as feedback, test…
China’s carbon-neutral policies will reduce short-term PM2.5-associated excess incidence of cardiovascular diseases
China's carbon-neutral target could have benefits for ambient fine particulate matter (PM 2.5 )-associated mortality. Although previous studies have researched such benefits, the potential impact on cardiovascular disease incidence burden is yet to be investigated thoroughly. Here, we first estimate the association between short-term PM 2.5 exposure and the incidence of stroke and coronary heart disease (CHD) via a case-crossover study before pro…
The gut microbiota and post-traumatic major depression disorder
Our findings provide a cause-and-effect relationship between the gut microbiota and PTMDD, contributing to our understanding of the microbiota-gut-brain axis and its role in neuropsychiatric disorder development after trauma. This information provides an opportunity for new treatment and prevention methods which are aimed at the gut-brain interaction
Shexiang Tongxin dropping pills protect against ischemic stroke-induced cerebral microvascular dysfunction via suppressing TXNIP/NLRP3 signaling pathway
STDP improves ischemic stroke-induced cerebral microcirculatory deficits by regulating cerebral microvascular endothelial ROS/TXNIP/NLRP3 signaling pathway
An immune-liver microphysiological system method for evaluation and quality control of hepatotoxicity induced by Polygonum multiflorum thunb. Extract
Adoption of Deep Generative Models in Architectural and Urban-Form Generation
Integrating deep generative models (DGMs) into architectural and urban-form generation is an innovative approach to support the design process. However, whether these applications are what designers need is rarely considered. To capture the user acceptance and visions of applying DGMs to architectural and urban-form generation, survey research was conducted. Drawing on the technology acceptance model (TAM), this study examines factors affecting u…
Tackling tricky complaints
Purpose This research serves a twofold purpose: first, to identify and categorize two common intention hiding strategies used by frontline employees when handling tricky user complaints, specifically evasive hiding and rationalized hiding; and second, to systematically examine the interactive effects of agent type (AI vs. human) and these strategies on users’ willingness to forgive. Design/methodology/approach Three experiments (N = 820) were con…
Geography (10 works) · China (8 works) · Climate change (7 works) · Environmental Science (7 works) · Geology (7 works) · Climatology (6 works) · Mathematics (6 works) · Medicine (6 works) · Psychology (6 works) · Statistics (6 works)