Xin Qiao
Biographic Data
| ID | 5857758 |
|---|---|
| NAME | Xin Qiao |
| GIVEN NAMES | Xin |
| FAMILY NAME | Qiao |
| SIGNATURE | QIAO X |
| AFFILIATIONS | University of South Florida |
| ORCID | 0000-0003-2441-5860 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Menispermum dauricum rhizome alkaloids ameliorate colitis by inhibiting mitochondrial DNA synthesis via the JAK2-STAT4-AK4 pathway
Investigating the impacts of missing data mechanims and treatments with latent space models
Studies on missing network data have largely focused on the impact of missing data on network structure rather than inference from a statistical model. In particular, there has very little research on the impact of missing data when fitting latent variable network models, so we examined the impact of common missing data mechanisms and subsequent missingness treatment and imputation methods when working with latent variable network models, focusin…
Beta-Binomial Model for Count Data
In this article, the beta-binomial model for count data is proposed and demonstrated in terms of its application in the context of oral reading fluency (ORF) assessment, where the number of words read correctly (WRC) is of interest. Existing studies adopted the binomial model for count data in similar assessment scenarios. The beta-binomial model, however, takes into account extra variability in count data that have been neglected by the binomial…
How weekend leisure experiences alleviate emotional exhaustion at work
Improving automated scoring of prosody in oral reading fluency using deep learning algorithm
Automated assessing prosody of oral reading fluency presents challenges due to the inherent difficulty of quantifying prosody. This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network. The current work focuses on cross-domain performance, researching how generalizable the prosody scoring is across students and text passages. The results demonstrated that the model with selected pros…
Equating Oral Reading Fluency Scores
Words read correctly per minute (WCPM) is the reporting score metric in oral reading fluency (ORF) assessments, which is popularly utilized as part of curriculum-based measurements to screen at-risk readers and to monitor progress of students who receive interventions. Just like other types of assessments with multiple forms, equating would be necessary when WCPM scores are obtained from multiple ORF passages to be compared both between and withi…
Association between IGF-1 levels and MDD
PROSPERO, identifier CRD42023482222
Identifying circulating biomarkers for major depressive disorder
These results suggested that six characteristic proteins screened from 59 proteins differential in MDD may hold promise as diagnostic biomarkers in discriminating patients with MDD. Among six characteristic proteins, insulin, CD155, Lipocalin-2, HGF and LIGHT might be useful to estimate the severity of depressive symptoms
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Identifying circulating biomarkers for major depressive disorder
These results suggested that six characteristic proteins screened from 59 proteins differential in MDD may hold promise as diagnostic biomarkers in discriminating patients with MDD. Among six characteristic proteins, insulin, CD155, Lipocalin-2, HGF and LIGHT might be useful to estimate the severity of depressive symptoms
Improving automated scoring of prosody in oral reading fluency using deep learning algorithm
Automated assessing prosody of oral reading fluency presents challenges due to the inherent difficulty of quantifying prosody. This study proposed and evaluated an approach focusing on specific prosodic features using a deep-learning neural network. The current work focuses on cross-domain performance, researching how generalizable the prosody scoring is across students and text passages. The results demonstrated that the model with selected pros…
Equating Oral Reading Fluency Scores
Words read correctly per minute (WCPM) is the reporting score metric in oral reading fluency (ORF) assessments, which is popularly utilized as part of curriculum-based measurements to screen at-risk readers and to monitor progress of students who receive interventions. Just like other types of assessments with multiple forms, equating would be necessary when WCPM scores are obtained from multiple ORF passages to be compared both between and withi…
Association between IGF-1 levels and MDD
PROSPERO, identifier CRD42023482222
Beta-Binomial Model for Count Data
In this article, the beta-binomial model for count data is proposed and demonstrated in terms of its application in the context of oral reading fluency (ORF) assessment, where the number of words read correctly (WRC) is of interest. Existing studies adopted the binomial model for count data in similar assessment scenarios. The beta-binomial model, however, takes into account extra variability in count data that have been neglected by the binomial…
How weekend leisure experiences alleviate emotional exhaustion at work
Menispermum dauricum rhizome alkaloids ameliorate colitis by inhibiting mitochondrial DNA synthesis via the JAK2-STAT4-AK4 pathway
Investigating the impacts of missing data mechanims and treatments with latent space models
Studies on missing network data have largely focused on the impact of missing data on network structure rather than inference from a statistical model. In particular, there has very little research on the impact of missing data when fitting latent variable network models, so we examined the impact of common missing data mechanisms and subsequent missingness treatment and imputation methods when working with latent variable network models, focusin…
Computer Science (3 works) · Psychology (3 works) · Bayesian probability (2 works) · Fluency (2 works) · Internal Medicine (2 works) · Linguistics (2 works) · Major depressive disorder (2 works) · Mathematics (2 works) · Mathematics education (2 works) · Medicine (2 works)