Evaluation Model for Scientific Quality Based on Rough Sets and Its Empirical Study

By analyzing the questionnaires recollected from 74 different government departments in Chengdu, China, an evaluation model for scientific quality of civil servants was developed with the rough set theory. In the empirical study, a series of important rules were given to help to check and forecast the degree of the scientific quality of civil servants by using the reduction algorithm, and the total accuracy of prediction was 93.2%.

Biosafety and data quality considerations for animal experiments with highly infectious agents at ABSL-3 facilities

Animal models are crucial for the study of severe infectious diseases,which is essential for determining their pathogenesis and the development of vaccines and drugs.Animal experiments involving risk grade 3 agents such as SARS CoV,HIV,M.tb,H7N9,and Brucella must be conducted in an Animal Biosafety Level 3(ABSL-3)facility.Because of the in vivo work,the biosafety risk in ABSL-3 facilities is higher than that in BSL-3 facilities.Undoubtedly,management practices must be strengthened to ensure biosafety in the ABSL-3 facility.Meanwhile,we cannot ignore the reliable scientific results obtained from animal experiments conducted in ABSL-3 laboratories.It is of great practical significance to study the overall biosafety concepts that can increase the scientific data quality.Based on the management of animal experiments in the ABSL-3 Laboratory of Wuhan University,combined with relevant international and domestic literature,we indicate the main safety issues and factors affecting animal experiment results at ABSL-3 facilities.Based on these issues,management practices regarding animal experiments in ABSL-3 facilities are proposed,which take into account both biosafety and scientifically sound data.

Application of PDCA Cycle Management in Outpatient Blood Collection Room Management

Objective:To explore the application and effectiveness of PDCA cycle management in outpatient blood collection room management.Methods:A total of 80 patients in the outpatient blood collection room of the hospital from June 2023 to June 2024 were selected as the study subjects and randomly divided into a control group and an observation group,with 40 patients in each group.The control group implemented conventional nursing management,while the observation group implemented PDCA cycle management on top of routine care.Blood collection outcomes,the incidence of disputes,adverse reactions,blood collection waiting times,nursing quality,and patient satisfaction were compared between the two groups.Results:The observation group showed significantly better blood collection outcomes compared to the control group,with a higher success rate of venipuncture(P<0.05).The total incidence of adverse reactions in the observation group was notably lower than in the control group(P<0.05).Additionally,the observation group exhibited shorter blood collection waiting times,higher nursing quality scores,and greater patient satisfaction,with all differences showing high statistical significance(P<0.001).Conclusion:The application of PDCA cycle management in the outpatient blood collection room demonstrated remarkable effectiveness.By leveraging the cycle of planning,execution,checking,and action,it optimized blood collection processes,improved efficiency and service quality,and enhanced patient satisfaction,making it highly worthy of clinical promotion and application.