Publications by authors named "Haiquan An"
Article Synopsis
- Coal ash flow temperature is crucial for the efficiency of entrained flow bed gasification, but its relationship with chemical composition is unclear.
- Machine learning models, particularly support vector regression, were developed to predict coal ash flow temperature, yielding a highly accurate model with minimal errors.
- The new model outperformed existing software (FactSage) in accuracy, suggesting it has significant potential for use in coal chemical engineering.
Long non-coding (lnc)RNA NCK1 antisense RNA 1 (NCK1-AS1) has been characterized as an oncogene in cervical cancer, while its role in prostate cancer (PC) remains unknown. It was revealed in the present study that plasma NCK1-AS1 was upregulated in patients with PC when compared with patients with benign prostatic hyperplasia (BPH) and healthy controls. Upregulation of NCK1-AS1 distinguished patients with PC from patients with BPH and healthy controls.
View Article and Find Full Text PDF