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Ziying Zhang on Muck Rack

Ziying Zhang

As seen in: Wiley Online Library, Oxford Academic, BMJ Open, Frontiers, MDPI, Taylor & Francis Online, ACS Publications, Royal Society of Chemistry, Dialnet - Universidad de La Rioja, Diabetes Research and Clinical Practice
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Articles

Circulating Mitochondrial DNA Measures Across Malignancies: Diagnostic Accuracy and Prognostic Associations

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By Ziying Zhang, Ying Jiang, Yu Gong
| Wiley Online Library Verified
1 Introduction Cancer remains a major global health challenge, with an estimated 19.3 million new cases and 10.0 million deaths in 2020 [1]. Diagnosis and prognostic assessment rely on complementary clinical, imaging, laboratory, and pathological information. Although histopathology remains essential for definitive diagnosis, the need for tissue sampling and the difficulty of detecting some early lesions support continued development of minimally invasive biomarkers [2].
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The association between teachers’ growth mindset and job satisfaction: the chain mediating role of teacher-student relationship and teacher self-efficacy

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By Zhengzhou Zhu, Yuxuan Bao, Ziying Zhang, Yipu Hao
| Frontiers
Abstract Introduction: In recent years, teacher turnover rates have risen significantly, posing a major challenge to efforts to improve educational quality. Teacher job satisfaction is a key factor influencing teacher turnover. This study applies Self-Determination Theory to explore the indirect associations of teacher-student relationship and self-efficacy in the relationship between teachers’ growth mindset and job satisfaction.
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Utilizing computational spectral imaging technology to promote innovation in non-destructive testing in the industry 4.0 era

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By Yang Liu, Ziying Zhang
| Dialnet - Universidad de La Rioja
español En el marco de la Industria 4.0, la exigencia de una alta precisión y eficiencia en la tecnología de ensayos no destructivos sigue aumentando. Los métodos tradicionales pueden resultar imprecisos y lentos en situaciones complejas. Este articulo presenta una nueva solución de inspección basada en la imagen espectral computacional.
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