Moran Li
Biographic Data
| ID | 4226033 |
|---|---|
| NAME | Moran Li |
| GIVEN NAMES | Moran |
| FAMILY NAME | Li |
| SIGNATURE | LI M |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0002-6406-1983 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Digitalization of Ideological and Political Teachers in Colleges and Universities
The digital teaching ability of ideological and political teachers in colleges and universities is the key to educational reform, but the promotion path is divided and out of touch with rationality and practice. Combining questionnaires, logs, and interviews, this paper constructs and verifies a closed-loop promotion path and dynamic evaluation model. The study found that optimization tool integration and feedback mechanisms can promote multi-dim…
Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21 st Century
The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship between FCS and BGBC to remain insufficiently understood. To explore the coupling mechanism between FCS …
Estimating and mapping Tokyo Window View Desirability using 3D model imagery and the hedonic price approach
We long for a connection with nature and a sense of refuge in the views from our living spaces. Views from homes shape both our well-being and housing values, yet there are limited research that quantify the holistic visual desirability of a residential window scene, as reflected in housing rents. This study introduces a pipeline that combines photorealistic synthetic window-view images from Google 3D Tiles with a hedonic price model to estimate …
Revealing the Impact of Polycentric Urban Structure on Cultivated Land Fragmentation Using Explainable Machine Learning
While urban polycentric development reshapes regional spatial structure and significantly impacts cultivated land allocation and fragmentation, the underlying mechanisms are still poorly understood. Moreover, existing studies on the drivers of cultivated land fragmentation often overlook spatial effects, failing to accurately capture the spatial heterogeneity of predictive factors. To address these gaps, this study employed panel data from 217 Ch…
Temporal and spatial evolution of carbon budget and simulation at provincial scale in China
Re-reading Griselda’s Growth in The Cuckoo Clock from the Perspective of Queer
Beyond rice
Assessing the Expressive Language Levels of Autistic Children in Home Intervention
The World Health Organization (WHO) has established the caregiver skill training (CST) program, designed to empower families with children diagnosed with autism spectrum disorder the essential caregiving skills. The joint engagement rating inventory (JERI) protocol evaluates participants’ engagement levels within the CST initiative. Traditionally, rating the expressive language level and use (EXLA) item in JERI relies on retrospective video analy…
Item Difficulty Modeling Using Fine-tuned Small and Large Language Models
This study investigates methods for item difficulty modeling in large-scale assessments using both small and large language models (LLMs). We introduce novel data augmentation strategies, including augmentation on the fly and distribution balancing, that surpass benchmark performances, demonstrating their effectiveness in mitigating data imbalance and improving model performance. Our results showed that fine-tuned small language models (SLMs) suc…
A multimodal machine learning system in early screening for toddlers with autism spectrum disorders based on the response to name
The multimodal machine learning system can accurately quantify behaviors in RTN procedures and may effectively distinguish toddlers with ASD from the non-ASD group. This novel system may provide a low-cost approach to early screening and identifying toddlers with ASD. However, machine learning is not as accurate as a human observer, and the detection of a single symptom like RTN is not sufficient enough to detect ASD
Boot-shaped antler artifacts and prehistoric leather production
The first boot-shaped antler artifacts appear in the Shuangdun culture along the middle Huaihe River watershed at circa 7000 BP, before spreading out across the circum-Taihu Lake region, central Henan, and the Shandong Peninsula. Characteristic shape and use-wear marks indicate probable use as a scraping tool for leatherworking. Based on archaeological data from the Old Koryak culture in the Kamchatka Peninsula, as well as Eskimo and Native Ameri…
Fermented maize beverages as ritual offerings
Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling
Researchers continue to be interested in efficient, accurate methods of estimating coefficients of covariates in mixture modeling. Including covariates related to the latent class analysis not only may improve the ability of the mixture model to clearly differentiate between subjects but also makes interpretation of latent group membership more meaningful. Very few studies have been conducted that compare the performance of various approaches to …
Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling
Researchers continue to be interested in efficient, accurate methods of estimating coefficients of covariates in mixture modeling. Including covariates related to the latent class analysis not only may improve the ability of the mixture model to clearly differentiate between subjects but also makes interpretation of latent group membership more meaningful. Very few studies have been conducted that compare the performance of various approaches to …
Boot-shaped antler artifacts and prehistoric leather production
The first boot-shaped antler artifacts appear in the Shuangdun culture along the middle Huaihe River watershed at circa 7000 BP, before spreading out across the circum-Taihu Lake region, central Henan, and the Shandong Peninsula. Characteristic shape and use-wear marks indicate probable use as a scraping tool for leatherworking. Based on archaeological data from the Old Koryak culture in the Kamchatka Peninsula, as well as Eskimo and Native Ameri…
Fermented maize beverages as ritual offerings
A multimodal machine learning system in early screening for toddlers with autism spectrum disorders based on the response to name
The multimodal machine learning system can accurately quantify behaviors in RTN procedures and may effectively distinguish toddlers with ASD from the non-ASD group. This novel system may provide a low-cost approach to early screening and identifying toddlers with ASD. However, machine learning is not as accurate as a human observer, and the detection of a single symptom like RTN is not sufficient enough to detect ASD
Assessing the Expressive Language Levels of Autistic Children in Home Intervention
The World Health Organization (WHO) has established the caregiver skill training (CST) program, designed to empower families with children diagnosed with autism spectrum disorder the essential caregiving skills. The joint engagement rating inventory (JERI) protocol evaluates participants’ engagement levels within the CST initiative. Traditionally, rating the expressive language level and use (EXLA) item in JERI relies on retrospective video analy…
Item Difficulty Modeling Using Fine-tuned Small and Large Language Models
This study investigates methods for item difficulty modeling in large-scale assessments using both small and large language models (LLMs). We introduce novel data augmentation strategies, including augmentation on the fly and distribution balancing, that surpass benchmark performances, demonstrating their effectiveness in mitigating data imbalance and improving model performance. Our results showed that fine-tuned small language models (SLMs) suc…
Digitalization of Ideological and Political Teachers in Colleges and Universities
The digital teaching ability of ideological and political teachers in colleges and universities is the key to educational reform, but the promotion path is divided and out of touch with rationality and practice. Combining questionnaires, logs, and interviews, this paper constructs and verifies a closed-loop promotion path and dynamic evaluation model. The study found that optimization tool integration and feedback mechanisms can promote multi-dim…
Asynchronous Coupling Between China's Forest Canopy Structure and Belowground Biomass Carbon in the 21 st Century
The spatio‐temporal relationship between Forest Canopy Structure (FCS) and Belowground Biomass Carbon (BGBC) is fundamental to determining how optimizing spatial structure can maximize forest carbon‐sink potential in land management. However, the lidar data resolution over the space and time exists limitation, causing the coupling relationship between FCS and BGBC to remain insufficiently understood. To explore the coupling mechanism between FCS …
Estimating and mapping Tokyo Window View Desirability using 3D model imagery and the hedonic price approach
We long for a connection with nature and a sense of refuge in the views from our living spaces. Views from homes shape both our well-being and housing values, yet there are limited research that quantify the holistic visual desirability of a residential window scene, as reflected in housing rents. This study introduces a pipeline that combines photorealistic synthetic window-view images from Google 3D Tiles with a hedonic price model to estimate …
Revealing the Impact of Polycentric Urban Structure on Cultivated Land Fragmentation Using Explainable Machine Learning
While urban polycentric development reshapes regional spatial structure and significantly impacts cultivated land allocation and fragmentation, the underlying mechanisms are still poorly understood. Moreover, existing studies on the drivers of cultivated land fragmentation often overlook spatial effects, failing to accurately capture the spatial heterogeneity of predictive factors. To address these gaps, this study employed panel data from 217 Ch…
Temporal and spatial evolution of carbon budget and simulation at provincial scale in China
Re-reading Griselda’s Growth in The Cuckoo Clock from the Perspective of Queer
Beyond rice
Computer Science (4 works) · Archaeology and ancient environmental studies (3 works) · Artificial Intelligence (3 works) · Psychology (3 works) · Archaeology (2 works) · Artificial Intelligence (2 works) · Autism Spectrum Disorder Research (2 works) · Biology (2 works) · Carbon fibers (2 works) · China (2 works)