Quality Standard Research of Shenqi Qiangjing Granules

[Objectives]The paper was to establish the quality standard of Shenqi Qiangjing granules and to conduct routine inspection of granular dosage forms.[Methods]The particle size,moisture,loss on drying,dissolubility,content uniformity and microbial limit of Shenqi Qiangjing granules were detected.Radix Astragali,Herba Epimedii,Radix Dipsaci and Fructus Schisandrae Chinensis were qualitatively identified by thin layer chromatography(TLC).[Results]The particle size,moisture,loss on drying,dissolubility,content uniformity and microbial limit of Shenqi Qiangjing granules were all in line with the relevant regulations of Pharmacopoeia of the People's Republic of China(2020 edition).Radix Astragali,Herba Epimedii,Radix Dipsaci and Fructus Schisandrae Chinensis had clear fluorescent spots in TLC assay,and no such spots were found in negative control.[Conclusions]The method has the advantages of simple operation,accurate and reliable results,strong specificity and good repeatability,and can effectively control the quality of Shenqi Qiangjing granules.

Quality control methods for KOOS operational sea surface temperature products

Sea surface temperature SST obtained from the initial version of the Korea Operational Oceanographic System（KOOS） SST satellite have low accuracy during summer and daytime. This is attributed to the diurnal warming effect. Error estimation of SST data must be carried out to use the real-time forecasting numerical model of the KOOS. This study suggests two quality control methods for the KOOS SST system. To minimize the diurnal warming effect, SSTs of areas where wind speed is higher than 5 m/s were used. Depending on the wind threshold value, KOOS SST data for August 2014 were reduced by 0.15°C. Errors in SST data are considered to be a combination of random, sampling, and bias errors. To estimate bias error, the standard deviation of bias between KOOS SSTs and climatology SSTs were used. KOOS SST data yielded an analysis error standard deviation value similar to OSTIA and NOAA NCDC（OISST） data. The KOOS SST shows lower random and sampling errors with increasing number of observations using six satellite datasets. In further studies, the proposed quality control methods for the KOOS SST system will be applied through more long-term case studies and comparisons with other SST systems.

Auditing the Auditors： The Audit Oversight Board and Regulating Audit Quality in Malaysia

The setting-up of the Malaysian Audit Oversight Board （AOB） in 2010 under the Securities Commission Amendment Act 2010 has extended the role of regulators into the statutory audit domain for public listed companies. Although the auditing profession in Malaysia has International Auditing Standards as prescribed minimum level of quality in the delivery of audit assurance services, self-regulation by the profession alone appears inadequate to ensure the delivery of quality audit services. With co-regulation, auditors now are monitored not just by the profession but also by a new statutory body with considerable regulatory powers to sanction auditors where quality of the audit process has been found wanting. This study solicits the opinions of auditors on their expectations of what the new regulator can achieve. Based on interviews with a sample of 30 auditors, the study finds that the majority believe that audit quality will be taken to a new level following AOB＇s remit of registration of auditors, compliance inspection with International Standard on Quality Control （ISQC）, monitoring of financial statement quality, and its power of sanctions. A review of AOB＇s early years＇ inspection confirms these expectations.

Design and demonstration of a next-generation air quality attainment assessment system for PM_(2.5)and O_3

Due to the increasingly stringent standards, it is important to assess whether the proposed emission reduction will result in ambient concentrations that meet the standards. The Software for Model Attainment Test-Community Edition （SMAT-CE） is developed for demonstrating attainment of air quality standards of O3 and PM2.5. SMAT-CE improves computational efficiency and provides a number of advanced visualization and analytical functionalities on an integrated GIS platform. SMAT-CE incorporates historical measurements of air quality parameters and simulated air pollutant concentrations under a number of emission inventory scenarios to project the level of compliance to air quality standards in a targeted future year. An application case study of the software based on the U.S. National Ambient Air Quality Standards （NAAQS） shows that SMAT-CE is capable of demonstrating the air quality attainment of annual PM2.5 and 8-hour O3 for a proposed emission control policy.