“Everything that I thought that they would be, they weren’t:” Family systems as support and impediment to recovery

Systems That Know That They Don't Understand

The metaphor of computation itself is the new leverage that AI brings to the study of mind. However, since the field parted company with Cybernetics and Self-Organizing Systems research in the mid-1950s, work within AI has focussed primarily on computational models of "reasoning." Expert Systems is a hot area of AI research with important scientific and commercial impact. The prominence of expe...

Respiratory Biology: They Would Be Giants

A recent study has shown that respiratory structures are disproportionately oversized in larger insects, and that oxygen supply to leg muscles may be physically constrained in the largest modern insects. High oxygen concentrations during the Carboniferous may have alleviated these physical constraints allowing the evolution of gigantic arthropods.

Are They Using It How We Thought They Would? an Evaluation of Studentstm Learning Processes

Despite the best intentions, educational technology developers often fail to carry out evaluations of their programs while they are under development. This paper reports on a formative evaluation of students’ learning processes while completing an interactive multimedia program called Legal Interviewing Skills. The evaluation found that students used a number of learning strategies which were n...

How did they do that?

The study by DiDiodato and McAthur describes work to improve the care of patients admitted to hospital with community-acquired pneumonia. They compare length of stay of patients after the implementation of an antimicrobial stewardship programme that was initially led by an infectious diseasetrained pharmacist and then transitioned to a ward-based pharmacist. To estimate the impact on length of ...

Not everything that counts can be counted; not everything that can be counted counts.