Multicollinearity test. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Heterogeneity test for population structure. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Pearson test. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Description of variables. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Endogeneity test for variable lags. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Mediation effect test of educational investment. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Descriptive statistics of the main variables. by Yunying Cai (20721812)

“…<div><p>Innovation and entrepreneurship vitality, as a key factors in the development of the digital economy, significantly affects both regional economic development and residents’ consumption capacity. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Coal worker’s pneumoconiosis (CWP) is characterized by chronic inflammation and pulmonary fibrosis. The key factor contributing to the incurability of CWP is the unclear pathogenesis. …”

Study sample. by Nipaporn Butsing (19470003)

“…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”