4 research outputs found
The framing of drivers\u27 route choices when travel time information is provided under varying degrees of cognitive load
In two experiments, participants chose between staying on a main route with a certain travel time and diverting to an alternative route that could take a range of travel times. In the first experiment, travel time information was displayed on a sheet of paper to participants seated at a desk. In the second experiment, the same information was displayed in a virtual environment through which participants drove. Overall, participants were risk-averse when the average travel time along the alternative route was shorter than the certain travel time of the main route but risk-seeking when the average travel time of the alternative route was longer than the certain travel time along the main route. In the second experiment, in which cognitive load was higher, participants simplified their decision-making strategies. A simple probabilistic model describes the risk-taking behavior and the load effects. Actual or potential applications of this research include the development of efficient travel time information systems for drivers.</p
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Risk attitude reversals in drivers\u27 route choice when range of travel time information is provided
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Advanced travel time information and drivers\u27 route choice: Stated preference data
Tuberculosis: integrated studies for a complex disease 2050
Tuberculosis (TB) has been a disease for centuries with various challenges [1]. Like
other places where challenges and opportunities come together, TB challenges were
the inspiration for the scientific community to mobilize different groups for the
purpose of interest. For example, with the emergence of drug resistance, there has
been a huge volume of research on the discovery of new medicines and drug
delivery methods and the repurposing of old drugs [2, 3]. Moreover, to enhance the
capacity to detect TB cases, studies have sought diagnostics and biomarkers, with
much hope recently expressed in the direction of point-of-care tests [4].
Despite all such efforts as being highlighted in 50 Chapters of this volume, we
are still writing about TB and thinking about how to fight this old disease–implying
that the problem of TB might be complex, so calling the need for an integrated
science to deal with multiple dimensions in a simultaneous and effective manner.
We are not the first one; there have been proposed integrated platform for TB
research, integrated prevention services, integrated models for drug screening,
integrated imaging protocol, integrated understanding of the disease pathogenesis,
integrated control models, integrated mapping of the genome of the pathogen, etc.
[5–12], to name some.
These integrated jobs date back decades ago. So, a question arises: why is there a
disease named TB yet? It might be due to the fact that this integration has happened
to a scale that is not global, and so TB remains to be a problem, especially in
resource-limited settings.
Hope Tuberculosis: Integrated Studies for a Complex Disease helps to globalize
the integrated science of TB.info:eu-repo/semantics/publishedVersio