Results 221 to 230 of about 1,972,736 (324)

“Because everybody's different”: Co‐designing body donor program consent processes

open access: yesAnatomical Sciences Education, EarlyView.
Abstract While it is broadly accepted that body donation for anatomical education should rely on informed consent, consent processes vary substantially. Best practice guidelines for body donation are typically published by anatomical societies and may not reflect details valued by prospective donors or the educators and students who utilize donor ...
Georgina C. Stephens
wiley   +1 more source

A practical guide to using diary methods in qualitative research

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The use of qualitative methods is growing in anatomical sciences education. While common qualitative methods such as interviews and focus groups can provide rich insights into participant experiences, there is a wide variety of other qualitative methods that are ideal for different research topics.
Georgina C. Stephens   +2 more
wiley   +1 more source

“Am I being responsible?”: Navigating coming‐of‐age transitions through personal financial information management

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract This research explored how young adults (ages 18–25) learn to use financial records and the roles financial records play in their experiences in coming to see themselves as financially mature social actors. The contribution of this paper is a revised model of transitions theory that includes personal information management (PIM) as an ...
Robert Douglas Ferguson   +2 more
wiley   +1 more source

Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray data. [PDF]

open access: yesPLoS One
Lacalamita A   +14 more
europepmc   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

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