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Exploring the length and time related concepts for scenario-based multiple-choice questions through perspectives of medical education experts: a mixed-method approach. [PDF]
Bogam RR, Chennuri H, Chavan GM.
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Assessing the Performance of Strategies for Handling Rapid Guessing Responses in Item Response Theory Equating. [PDF]
Jung J, Lee WC.
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Improved Side-Channel Attack on CTR DRBG Using a Clustering Algorithm. [PDF]
Han J, Han DG.
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Less is more? A systematic review and network meta-analysis on MCQ option numbers. [PDF]
Sridharan K, Sivaramakrishnan G.
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JOINT MODELING FOR LEARNING DECISION-MAKING DYNAMICS IN BEHAVIORAL EXPERIMENTS. [PDF]
Bian Y, Guo X, Wang Y.
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Utilization of Immersive Virtual Reality in Cognitive Stimulation Therapy (IVR-CST) for elderly with mild cognitive impairment: A randomized controlled pilot study protocol. [PDF]
Wong WWS +4 more
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2006
As graph models are applied to more widely varying fields, researchers struggle with tools for exploring and analyzing these structures. We describe GUESS, a novel system for graph exploration that combines an interpreted language with a graphical front end that allows researchers to rapidly prototype and deploy new visualizations.
Nabeel Ahmed +2 more
openaire +2 more sources
As graph models are applied to more widely varying fields, researchers struggle with tools for exploring and analyzing these structures. We describe GUESS, a novel system for graph exploration that combines an interpreted language with a graphical front end that allows researchers to rapidly prototype and deploy new visualizations.
Nabeel Ahmed +2 more
openaire +2 more sources

