ABSTRACT
Compound Qinlan Oral Liquid (,CQOL) is derived from Yinqiao San (), which is composed of Jinyinhua (Lonicerae Japonicae Flos), Huangqin (Scutellariae Radix), Lianqiao (Forsythiae Fructus) and Banlangen (Isatidis Radix). It is a common clinical herbal medicine for clearing heat and detoxification, and has antiviral effects. By reviewing the active ingredients of CQOL and the research progress on its anti-influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) efficacy, with view to providing a basis for the clinical use of CQOL in treatment of respiratory diseases caused by SARS-CoV-2.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.
ABSTRACT
Compound Qinlan Oral Liquid (,CQOL) is derived from Yinqiao San (), which is composed of Jinyinhua (Lonicerae Japonicae Flos), Huangqin (Scutellariae Radix), Lianqiao (Forsythiae Fructus) and Banlangen (Isatidis Radix). It is a common clinical herbal medicine for clearing heat and detoxification, and has antiviral effects. By reviewing the active ingredients of CQOL and the research progress on its anti-influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) efficacy, with view to providing a basis for the clinical use of CQOL in treatment of respiratory diseases caused by SARS-CoV-2.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.
ABSTRACT
Under the influence of COVID-19, although upstream small- and medium-sized enterprises (SMEs) in construction industry chain suffer from high operating costs and tight cash flow problems, their financing demands are even stronger. As an electronic and platform-based comprehensive service, online supply chain finance can ease the financing problems of SMEs in the construction industry. However, it has become an important issue for financial institutions to effectively assess the credit risk in the process of online supply chain financing. In this paper, an online supply chain risk assessment method, which is based on a hybrid model chain, including eXtreme Gradient Boosting (XGBoost), Synthetic Minority Oversampling TEchnique for Nominal and Continuous (SMOTENC), and Random Forest (RF), is proposed to identify and control the credit risk of financial institutions. Specifically, we establish the financial credit risk assessment system with respect to the characteristics of financing enterprises in the construction industry supply chain, including the status of financing enterprises, the status of core enterprises, the operating status of the supply chain, and the status of assets under financing. On the basis of the system, the best index number of the assessment system and the minority samples are obtained by the XGBoost algorithm and the SMOTENC algorithm, respectively. The classification method based on RF is applied to judge the credit risk of financing enterprises in the supply chain of construction industry. In the simulation stage, we take upstream SMEs in the supply chain of construction industry in China as an example for empirical analysis to validate the effectiveness of our proposed method. The credit risk assessment method proposed in this paper has better performance than the commonly used ones in the academic field with an average improvement on assessment accuracy for 6.39% and an average increase of Area Under Curve for 6.95%. Our study provides meaningful exploration on the fund monitoring system of the financing service platform to improve financing efficiency and risk management level.
ABSTRACT
Vapor hydrogen peroxide is a strong oxidant. The final product is water and oxygen. It has the advantages of no residue, safety, rapid disinfection and wide material compatibility. Vapor hydrogen peroxide sterilization is widely used in pharmaceutical, medical, health, and biosafety fields to ensure the safety of drugs, medical devices and food, especially used for disinfection and prevention of respiratory infectious diseases such as COVID-19, MERS, SARS and H1N1. In order to ensure the sterilization effect, hydrogen peroxide detector is used to monitor the concentration of hydrogen peroxide. Based on the tunable laser absorption spectroscopy technology of 1 255 cm-1 quantum cascade laser, a vapor hydrogen peroxide concentration measuring device is developed. The concentration range is 0~1 800 ppm. The main parts of the detector are isolated from hydrogen peroxide by V-type optical path structure and optical window to avoid hydrogen peroxide corrosion. In view of the fact that the error of transmittance function approximated by the first-order Taylor series is large in the case of high concentration and high absorbance, the second-order Taylor series is used to approximate transmittance function, and the second-order function of the second harmonic signal with respect to the gas concentration is derived. The second harmonic signal is the voltage value, which is calibrated and traced by potassium permanganate titration. Finally, the measurement formula is obtained, which fits the high and low concentration hydrogen peroxide well, and the maximum fitting error is 3%. When the humidity changes, the second harmonic signal does not change, excluding the influence of moisture on the measurement of hydrogen peroxide, which is suitable for the measurement of high concentration VHP at atmospheric pressure during the sterilization process. © 2021, Peking University Press. All right reserved.