capture the decision-making process of emergency managers during severe weather events

This study was conducted with the aim of enhancing thecurrent body of knowledge regarding emergency nurses anddisaster response. It was anticipated that the study wouldprovide a foundation for further research into determiningwhat type of disaster education and training would benefitemergency nurses.

The model performance is analyzed using two transportation networks:the well-known Sioux-Falls network, for proving the eligibility of the optimization model, to demonstrate the concepts better, and for vulnerability analysis, and the Tehran real-world network, to show the applicability of the proposed approach in modeling large-scale networks with detailed information on solution quality and efficiency.

Present the Emergency Landing Technologies (ELP) interface and output in a series of vignette-based scenarios to examine the role of transparency on trustamong commercial pilots.

Experimental evaluation: Participants were asked to perform three tasks of incremental difficulty and to fill a post-task questionnaire using the eStoryS system.Three tasks to complete were related to the specific use of eStoryS in the domain of emergencies: Generic task, Required the use of a timeline to solve the task more efficientlyRequired the use of the story- board tool to collect information about the scenario.

The purpose of this research was to evaluate an emergency preparedness training programme and to develop a participatory training approach for emergency response.

To describe a simple and objective method to assess medical performance during functional mass casualty incident exercise events.

Experimentunderstand how publics produce, consume, and/or share crisis information via social media and other sources: the social-mediated crisis communication model (SMCC)

The objective is to assess performance improvement by use of patient models to simulate open vascular procedures as training innovation. ( Workshop-based training analysis on local training, regional training, national training workshops, international workshops.

Development of a Middleware Improved Technology (MIT) Add-On to mitigate the danger of blackouts in the electricity and communication networks. This expert system CRIPS (Crisis Prevention and Planning System) has following global functionalities:Work out and show the complex dependency structures of Large Complex Critical Infrastructures (LCCIs)Show the direct and indirect effects (cascading effects) of perturbationsSupport of assessment of the current situation with regard of the dependency structureSupport of decision making with regard of the dependency structure including alerting