Junchao Luo
Biographic Data
| ID | 10008072 |
|---|---|
| NAME | Junchao Luo |
| GIVEN NAMES | Junchao |
| FAMILY NAME | Luo |
| SIGNATURE | LUO J |
| AFFILIATIONS | Wenzhou Medical University |
| ORCID | 0000-0001-7020-1500 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Compare the teaching effectiveness and student satisfaction between native Japanese language teachers and non-native Japanese language teachers
This study examines the comparative teaching effectiveness and student satisfaction between native Japanese language teachers (NJLTs) and non-native Japanese language teachers (NNJLTs). Utilizing a sample of 740 students from various educational institutions in Japan, the research employs a quantitative design, including structured questionnaires adapted from established scales. Advanced statistical methods, including factor analysis and multiple…
Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning
Background: Bone metastasis is a common adverse event in kidney cancer, often resulting in poor survival. However, tools for predicting KCBM and assessing survival after KCBM have not performed well. Methods: The study uses machine learning to build models for assessing kidney cancer bone metastasis risk, prognosis, and performance evaluation. We selected 71,414 kidney cancer patients from SEER database between 2010 and 2016. Additionally, 963 pa…
No prominent works on this page.
Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning
Background: Bone metastasis is a common adverse event in kidney cancer, often resulting in poor survival. However, tools for predicting KCBM and assessing survival after KCBM have not performed well. Methods: The study uses machine learning to build models for assessing kidney cancer bone metastasis risk, prognosis, and performance evaluation. We selected 71,414 kidney cancer patients from SEER database between 2010 and 2016. Additionally, 963 pa…
Compare the teaching effectiveness and student satisfaction between native Japanese language teachers and non-native Japanese language teachers
This study examines the comparative teaching effectiveness and student satisfaction between native Japanese language teachers (NJLTs) and non-native Japanese language teachers (NNJLTs). Utilizing a sample of 740 students from various educational institutions in Japan, the research employs a quantitative design, including structured questionnaires adapted from established scales. Advanced statistical methods, including factor analysis and multiple…
Bone health and treatments (1 work) · Bone metastasis (1 work) · Brier score (1 work) · Cancer (1 work) · Cohort (1 work) · Computer Science (1 work) · EFL/ESL Teaching and Learning (1 work) · First language (1 work) · Internal Medicine (1 work) · Kidney cancer (1 work)