Bing Wang

No ORCID on file · 5 papers in corpus
article 2024
The mechanism of wen jing tang in the treatment of endometriosis: Insights from network pharmacology and experimental validation
Heliyon ·doi:10.1016/j.heliyon.2024.e39292

BACKGROUND: Endometriosis (EM) is a hormone-dependent condition marked by progressively severe secondary dysmenorrhea, significantly impacting patients' quality of life and overall health. Wen Jing Tang (WJT), a traditional Chinese medicina…

article 2023
A comparative study between Dydrogesterone alone and combined with Non-Steroidal Anti-Inflammatory Drugs in the treatment of Mild Endometriosis
Pakistan journal of medical sciences ·doi:10.12669/pjms.39.5.7138

OBJECTIVE: To evaluate the clinical efficacy of dydrogesterone combined with non-steroidal anti-inflammatory drugs(NSAIDs) in the treatment of patients with mild endometriosis. METHODS: This was a clinical comparative study. Eighty patient…

2023
Arylhydrazine salt-selenium: a novel and efficient reagent system for arylselenenylation of unprotected uracil and its derivatives
·doi:10.21203/rs.3.rs-3128776/v1

A convenient and efficient reagent system of arylhydrazine salt-selenium was developed to directly synthesize 5-selenium uracil from uracil, arylhydrazine salt and selenium powder. This procedure provides diverse 5-arylselanyluracils with g…

2023
Dynamic modelling for hydraulic disc brake with floating supported friction plate considering nonlinear tooth clearance impact
·doi:10.21203/rs.3.rs-2602130/v1

AbstractFloating support friction plate is one of the critical working components in high power hydraulic disc brake (HDB). Under no braking condition, the impact between floating friction plate and the inner hub of HDB is inevitably occurs…

2021
Development and Validation of a New Clinical Prognosis Prediction Model for Metabolism in Cancer Patients
·doi:10.21203/rs.3.rs-719491/v1

Background: Metabolic reprogramming has emerged as an important feature of cancer, and the metabolism-related indexes are closely related to prognosis. Therefore, we develop and verify a large sample clinical prediction model to predict th…