BACKGROUND Emergency medical care is essential in preventing morbidity and mortality,especially when interventions are time-sensitive and require immediate access to supplies and trained personnel.AIM To assess the tr...
Obstacle removal in crowd evacuation is critical to safety and the evacuation system efficiency. Recently, manyresearchers proposed game theoreticmodels to avoid and remove obstacles for crowd evacuation. Game theoret...
At present, the emotion classification method of Weibo public opinions based on graph neural network cannot solve the polysemy problem well, and the scale of global graph with fixed weight is too large. This paper pro...
Introduction: Insecurity can be an obstacle to access to emergency obstetric and newborn care, that is why we proposed to study obstetrical emergencies in Ouahigouya Regional Teaching Hospital, a referral hospital in ...
funded by the National Natural Science Foundation of China(Grant No.72174203).
Casualty prediction is meaningful to the emergency management of natural hazards and human-induced disasters.In this study,a two-step machine learning method,including classification step and regression step,is propos...
This study was supported by the Scientific Research Project of Shaanxi Provincial Education Department in 2021-Key Research Base Project of Philosophy and Social Sciences。
Internet public opinion is a summary of all kinds of emotions,attitudes and comments conveying and spreading via the internet.How to guide internet public opinion in times of public health emergencies more efficiently...
This paper is supported by the 2020 Ministry of Education Humanities and Social Science Research Youth Fund Project“Study on the Influence of Short Videos on Adolescents’Values and Coping Strategies”(Project Fund No.20YJC880078).
Emergencies Internet public opinion is a manifestation of netizens’views,attitudes,and value understanding of emergencies through the Internet and other information dissemination media.According to the Internet publi...
Supported by the National Key Basic Research and Development Program (973) of China (No. 2011CB302705);in part by the Zhejiang Agriculture & Forest University Innovation (No. 2009RC11);Science Technology Department of Zhejiang Province Commonwealth (No. 2011C31G2100015);the Zhejiang Provincial Natural Science Foundation (Nos. Y3090558 and Y3100363)
Navigation with sensor networks has shown many advantages and great potential in many scenarios. Previous works have mainly focused on selecting the shortest path to navigate an internal user out of an emergency field...