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The emergency management of biosafety for laboratory animals in Hunan Province is an essential component of the province’s implementation of the national biosafety strategy. To strengthen the prevention and control of biosafety risks in laboratory animals and to ensure a quick and effective response to laboratory animal biosafety emergencies, Hunan Province has formulated the "Emergency Response Plan for Laboratory Animal Biosafety Emergencies in Hunan Province". This plan aims to minimize damages caused to practitioners, public health, and laboratory animal industry, protect lives and property, and safeguard public safety and social stability. This paper analyzes the necessity, guiding ideology, principles, and basis for formulating the plan. It details the main contents of the plan, which includes scope of application, incident classification, organizational structure and responsibilities, monitoring and early warning mechanisms, emergency reporting and response, post-incident assessment, and safeguard measures. Moreover, this paper provides a summary and outlook on the emergency management of biosafety laboratory animals in Hunan Province in recent years.

ObjectiveThis study aimed to investigate the current status of biosafety management in laboratory animal institutions in Hunan Province, identify management shortcomings, and provide targeted recommendations for improvement.MethodsA questionnaire survey was conducted in July 2023 among 40 laboratory animal institutions in Hunan Province, covering topics such as the establishment of laboratory management system and its overall operation status, emergency management for incidents, medical waste disposal, animal transportation, personnel practitioner management, environmental disinfection, and equipment maintenance. The awareness of biosafety, animal bite incidents, and vaccination history was surveyed from at least one animal feeder or experimental operation practitioner from each institution, totaling 50 practitioners. Through literature review and comparative analysis, this paper analyzed the current status of biosafety management in production, transportation, and use of laboratory animals in Hunan Province from aspects such as biosafety management systems, personnel training, disinfection of environmental facilities and waste disposal, and provided recommendations.ResultsAmong the 40 laboratory animal institutions in Hunan Province,39 institutions (97.5%) had established laboratory management systems, 37 (92.5%) had emergency response plans for incidents of to transport laboratory animals, 15 (37.5%) had complete records of emergency drills for laboratory animal biosafety, and 39 (97.5%) had established protocols for carcass and waste management. Moreover, 26 institutions (65.0%) had laboratory biosafety risk assessment reports. 4 out of 8 (50.0%) production units had emergency plans for animal transportation, with 7 (87.5%) using special vehicles to transport laboratory animals. 2 (4.0%) of the 50 practitioners were unaware of emergency response plans, 6 participants (12.0%) did not consistently wear personal protective equipment, and 38 participants (76.0%) had been bitten or scratched by laboratory animals. The results of the survey showed that emergency management, transportation management and personnel management of laboratory animal incidents still need improvement in Hunan Province. Relevant functional departments should strengthen supervision and management efforts, establish local regulations for the transportation management of laboratory animals, ensure strict compliance with relevant documents, conduct emergency drills in all units, and strengthen training for practitioners.ConclusionWhile daily management practices in the 40 laboratory animal institutions in Hunan Province are generally satisfactory, there remains a need for further improvement in emergency management, transportation management, personnel management, etc. Gradually enhancing the level of laboratory animal safety management is essential to collectively safeguard public health safety.

Cosmic shear and cosmic magnification reflect the same gravitational lensing field. Each of these two probes are affected by different systematics. We study the auto- and cross-correlations of cosmic shear from the China Space Survey Telescope and cosmic magnification of supernovae from the Large Synoptic Survey Telescope. We want to determine to what extent, by adding the magnification data, we can remove the systematic bias in cosmic shear measurements. We generate mock shear/magnification maps based on the correlation between different tomographic bins. After obtaining the corrected power spectra, we adopt the Markov Chain Monte Carlo technique to fit the theoretical models and investigate the constraints on the cosmological and nuisance parameters. We find that, with only the cosmic shear data, there are 1 σ biases in the σ _8 and intrinsic alignment model parameters. By adding the magnification data, we are able to remove these biases perfectly.

Coastal areas have a large content of renewable energies such as wind energy, tidal energy and wave energy. With continuous development of wind power generation, wind energy research at home and abroad is increasing. In this research, wind data over one year were obtained from ECMWF. In order to study wind variation characteristics, wind dataset was divided into four seasonal categories. Analysis of seasonal variation characteristics of winds at the west coast of Ireland provides useful information for wind energy development and wind energy assessment.