Abstract Background Personal digital assistants (PDA) offer putative advantages over paper for collecting research data.However, there are no data prospectively comparing PDA and paper in the emergency department.The aim of this study was to prospectively compare the performance of PDA and paper enrollment instruments with respect to time required
Long-period modelling of MEDNET waveforms for the December 13, 1990 Eastern Sicily earthquake
The availability of broad-band digital data allow "the analysis" of the seismic signal in the low-noise frequency band for structural and seismic source studies, We model complete seismograms -surface and body waves - for the December 13, 1 990, Eastern Sicily earthquake, recorded at regional distances on the MEDNET stations AQU, BNI and KEG, The i
Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course
Self-regulated learning (SRL) plays a critical role in asynchronous online courses.In recent years, attention has been focused on identifying student subgroups with different patterns of online SRL behaviors and comparing their learning performance.However, there is limited research leveraging traces of SRL behaviors to detect student subgroups and
Multilayer stents affect the final diameter of aortic aneurysms and maintain renal artery patency for a short time in a swine experimental model
OBJECTIVES: We sought to analyze the hemodynamic effects of the multilayer flow-modulated stent (MFMS) in Thoracoabdominal aortic aneurysms (TAAAs).METHODS: The hemodynamic effects of MFMS were analyzed in aortic thoracoabdominal aneurysms in experimental swine models.We randomly assigned 18 pigs to the stent or control groups and underwent the cre
Simultaneous Localization and Mapping (SLAM) and Data Fusion in Unmanned Aerial Vehicles: Recent Advances and Challenges
This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs).We critically evaluate some current SLAM implementations in robotics and autonomous vehicles and their applicability and scalability to UAVs.SLAM is envi